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0001 FN ISI Export Format 0002 VR 1.0 0003 PT J 0004 AU Taniguchi, S 0005 Kuroda, K 0006 Doi, KI 0007 Inada, K 0008 Yoshikado, N 0009 Yoneda, Y 0010 Tanabe, M 0011 Shibata, T 0012 Yoshida, T 0013 Hatano, T 0014 AF Taniguchi, Shoko 0015 Kuroda, Kayo 0016 Doi, Kou-Ichi 0017 Inada, Kazutoshi 0018 Yoshikado, Naomi 0019 Yoneda, Yuji 0020 Tanabe, Masahiro 0021 Shibata, Takashi 0022 Yoshida, Takashi 0023 Hatano, Tsutomu 0024 TI Evaluation of gambir quality based on quantitative analysis of 0025 polyphenolic constituents 0026 SO YAKUGAKU ZASSHI-JOURNAL OF THE PHARMACEUTICAL SOCIETY OF JAPAN 0027 LA Japanese 0028 DT Article 0029 DE gambir; Uncaria gambir; catechin; polyphenol; quantitative analysis 0030 ID CONDENSED TANNINS; FLAVAN DIMERS; PROCYANIDIN 0031 AB Gambir (asen'yaku in Japanese), an aqueous extract of leaves and young 0032 twigs of Uncaria gambir Roxb., has traditionally been used as a 0033 treatment for diarrhea and dysentery as an internal medicine and for 0034 sore throat as a gargle. Although it is a pharmacopoeic medicine in 0035 Japan, the quantitative evaluation of its constituents has not yet been 0036 adopted in the Japanese pharmacopoeia. We analyzed polyphenolic 0037 constituents in 31 gambir and related products to establish evaluation 0038 methods, since gambir contains large amounts of polyphenolic 0039 constituents. The total flavan contents in the samples revealed using 0040 the vanillin-HCl estimation method ranged from 24-79%. Reversed-phase 0041 high performance liquid chromatography (RP-HPLC) analysis indicated 0042 that catechin was the most abundant constituent in each sample, with 0043 contents in the range of 7-76%. The catechin contents in the gambir 0044 products between the first and third quartiles were 28-54%. Thus, the 0045 lower limit of the catechin content in gambir products can be set at 0046 around 20% for quality management. Fifteen tested samples were 0047 subjected to HPLC analysis to show the presence of epicatechin (1.5% on 0048 average) and the dimeric compounds procyanidin B1, procyanidin B3, and 0049 gambiriin A1 (ca. 1 % each). The molecular weight distributions of 0050 polymeric flavans in the gambir products were analyzed by gel 0051 permeation chromatography (GPC) and showed that the average degree of 0052 polymerization for each sample was 3 to 7. These results indicate that 0053 the combination of the vanillin-HCl method, RP-HPLC analysis, and GPC 0054 analysis gives valuable information for evaluating the polyphenolic 0055 profiles of gambir products. 0056 C1 Okayama Univ, Grad Sch Med, Dent & Pharmaceut Sci, Okayama 7008530, Japan. 0057 Taiko Pharmaceut Co Ltd, Suita, Osaka 564, Japan. 0058 Matsuyama Univ, Coll Pharmaceut Sci, Matsuyama, Ehime 7908577, Japan. 0059 RP Hatano, T, Okayama Univ, Grad Sch Med, Dent & Pharmaceut Sci, 1-1-1 0060 Tsushima-naka, Okayama 7008530, Japan. 0061 EM hatano@pharm.okayama-u.ac.jp 0062 CR *MIN HLTH LAB WELF, 2006, JAP PHARM 0063 BAE YS, 1994, HOLZFORSCHUNG, V48, P4 0064 BROADHURST RB, 1978, J SCI FOOD AGR, V29, P788 0065 CHAN KC, 1968, TETRAHEDRON LETT, P3403 0066 EISAI CO, 1982, 57054181, JP 0067 HATANO T, 2002, PHYTOCHEMISTRY, V59, P749 0068 KAWAHARA K, 1999, NATURAL MED, V53, P242 0069 KIMURA K, 1958, YAKUGAKU ZASSHI, V78, P325 0070 KONDO S, 1992, SHOYAKUGAKU ZASSHI, V46, P174 0071 KUSUDA M, 2006, BIOSCI BIOTECH BIOCH, V70, P1423 0072 MIKAGE M, 1992, SHOYAKUGAKU ZASSHI, V46, P1 0073 NONAKA G, 1980, CHEM PHARM BULL, V28, P3145 0074 SCHOFIELD P, 2001, ANIM FEED SCI TECH, V91, P21 0075 SHIMIZU T, 1970, YAKKYOKU KAMPO, P72 0076 TAI T, 1994, NAT MED, V48, P219 0077 TANIGUCHI S, 2007, CHEM PHARM BULL, V55, P268 0078 UCHIBAYASHI M, 2002, YAKUSHIGAKU ZASSHI, V37, P100 0079 NR 17 0080 TC 0 0081 PU PHARMACEUTICAL SOC JAPAN 0082 PI TOKYO 0083 PA 2-12-15-201 SHIBUYA, SHIBUYA-KU, TOKYO, 150, JAPAN 0084 SN 0031-6903 0085 J9 YAKUGAKU ZASSHI-J PHARM SOC J 0086 JI Yakugaku Zasshi-J. Pharm. Soc. Jpn. 0087 PY 2007 0088 VL 127 0089 IS 8 0090 BP 1291 0091 EP 1300 0092 PG 10 0093 SC Pharmacology & Pharmacy 0094 GA 209AI 0095 UT ISI:000249360100015 0096 ER 0097 0098 PT J 0099 AU Edwards, JA 0100 Guppy, A 0101 Cockerton, T 0102 AF Edwards, Julian A. 0103 Guppy, Andrew 0104 Cockerton, Tracey 0105 TI A longitudinal study exploring the relationships between occupational 0106 stressors, non-work stressors, and work performance 0107 SO WORK AND STRESS 0108 LA English 0109 DT Article 0110 DE stressors; non-work stressors; performance; structural equation 0111 modelling; longitudinal; work-related stress 0112 ID JOB-PERFORMANCE; FAMILY CONFLICT; METHOD VARIANCE; ORGANIZATIONAL 0113 RESEARCH; MANAGEMENT STANDARDS; ROLE AMBIGUITY; MENTAL-HEALTH; 0114 META-ANALYSIS; FIT INDEXES; SATISFACTION 0115 AB There is a lack of intricate research into the relationships between 0116 work performance and other variables. This study examined the causal 0117 relationship between work, non-work stressors, and work performance. 0118 Using longitudinal multi-group data from three groups - university 0119 staff, trainee nurses, and part-time employees (overall N=244) - 0120 structural equation modelling was employed to explore one-way and 0121 reverse competing models. The results produced a good fitting model 0122 with one-way causal paths from work-related and non-work stressors 0123 (time 1) to job performance (time 2). Nested model comparison analysis 0124 provided further evidence to support this best fitting model, 0125 emphasizing the strong influence that non-work factors have within the 0126 workplace. This study has important implications for theory, 0127 methodology and statistical analysis, and practice in the field of 0128 work-related stressors and performance. 0129 C1 Univ Portsmouth, Dept Psychol, Portsmouth PO1 2DY, Hants, England. 0130 Univ Coll Chester, Chester, Cheshire, England. 0131 Middlesex Univ, Sch Hlth & Social Sci, London N17 8HR, England. 0132 RP Edwards, JA, Univ Portsmouth, Dept Psychol, Kenry Henry Bldg,King Henry 0133 1 St, Portsmouth PO1 2DY, Hants, England. 0134 EM julian.edwards@port.ac.uk 0135 CR AKAIKE H, 1987, PSYCHOMETRIKA, V52, P317 0136 ANDERSON CR, 1976, J APPL PSYCHOL, V61, P30 0137 ARBUCLE JL, 1999, AMOS 4 0 USERS GUIDE 0138 ARSENAULT A, 1983, J OCCUP PSYCHOL, V56, P227 0139 BARNES V, 1983, J APPL PSYCHOL, V68, P686 0140 BEEHR TA, 2000, J ORGAN BEHAV, V21, P391 0141 BENTLER PM, 1980, PSYCHOL BULL, V88, P588 0142 BENTLER PM, 1990, PSYCHOL BULL, V107, P238 0143 BOLLEN KA, 1993, TESTING STRUCTURAL E 0144 BRUCK CS, 2002, J VOCAT BEHAV, V60, P336 0145 BYRNE BM, 2001, STRUCTURAL EQUATION 0146 CAMPBELL DT, 1963, EXPT QUASI EXPT DESI 0147 CAMPBELL JP, 1990, HDB IND ORG PSYCHOL, V1, P687 0148 CARMINES EG, 1981, SOCIAL MEASUREMENT 0149 COUSINS R, 2004, WORK STRESS, V18, P113 0150 COX T, 1993, STRESS RES STRESS MA 0151 DANIELS K, 1994, HUM RELAT, V47, P1523 0152 DEJONGE J, 2001, J OCCUP ORGAN PSYC 1, V74, P29 0153 DELANGE AH, 2003, J OCCUP HEALTH, V8, P282 0154 DEWE P, 1991, J OCCUP PSYCHOL, V64, P331 0155 DORMANN C, 2002, J OCCUP ORGAN PSYC 1, V75, P33 0156 EDWARDS JR, 1999, ORGAN BEHAV HUM DEC, V77, P85 0157 EDWARDS JR, 2000, ACAD MANAGE REV, V25, P178 0158 FARR JL, 1990, INNOVATION CREATIVIT 0159 FOLKMAN S, 1986, J PERS SOC PSYCHOL, V50, P571 0160 FORD CM, 1996, ACAD MANAGE REV, V21, P1112 0161 FRIED Y, 1998, J OCCUP ORGAN PSYC 1, V71, P19 0162 FRIEND KE, 1982, PERS PSYCHOL, V35, P623 0163 FRONE MR, 1992, J APPL PSYCHOL, V77, P65 0164 GLICK WH, 1986, ACAD MANAGE J, V29, P441 0165 GREER C, 1986, J APPL BEHAV SCI, V22, P159 0166 GUPPY A, 1997, WORK STRESS, V11, P341 0167 HART PM, 1995, J OCCUP ORGAN PSYCH, V68, P133 0168 HART PM, 1999, J APPL PSYCHOL, V84, P564 0169 IAFFALDANO MT, 1985, PSYCHOL BULL, V97, P251 0170 JACKSON SE, 1985, ORGAN BEHAV HUM DEC, V36, P16 0171 JAMAL M, 1984, ORGAN BEHAV HUM DEC, V33, P1 0172 JAMAL M, 1985, HUM RELAT, V38, P409 0173 JEX SM, 1998, STRESS JOB PERFORMAN 0174 JONES JR, 2003, SELF REPORTED WORK R 0175 JORDAN J, 2003, BEACONS EXCELLENCE S 0176 JORESKOG KG, 1988, LISREL 7 GUIDE PROGR 0177 JUDGE TA, 2001, PSYCHOL BULL, V127, P376 0178 KAHN SE, 1988, COUNSELING PSYCHOL Q, V1, P145 0179 KARASEK RJ, 1990, HLTH WORK STRESS PRO 0180 KINNUNEN U, 2004, WORK STRESS, V18, P1 0181 KLINE TJB, 2000, J PSYCHOL, V134, P401 0182 KORSGAARD MA, 2004, J ORGAN BEHAV, V25, P873 0183 KOSSEK EE, 1999, WORK FAMILY, V2, P7 0184 LANDY FJ, 1989, PSYCHOL WORK BEHAV 0185 LAZARUS RS, 1984, STRESS APPRAISAL COP 0186 LEPINE JA, 2005, ACAD MANAGE J, V48, P764 0187 MACKAY CJ, 2004, WORK STRESS, V18, P91 0188 MARSDEN JR, 1992, EMPLOYEES DRINKING P 0189 MATTESON MT, 1984, J VOCAT BEHAV, V25, P203 0190 MEGLINO BM, 1977, SUPERV MANAGE, V22, P2 0191 MOTOWIDLO SJ, 1986, J APPL PSYCHOL, V71, P618 0192 MULAIK SA, 1989, PSYCHOL BULL, V105, P430 0193 MURPHY LR, 2003, HDB WORK HLTH PSYCHO, P533 0194 MUSE LA, 2003, HUM PERFORM, V16, P349 0195 NEISS R, 1988, PSYCHOL BULL, V103, P345 0196 NETEMEYER RG, 1996, J APPL PSYCHOL, V77, P272 0197 ORPEN C, 1989, PSYCHOL STUD, V34, P214 0198 PODSAKOFF PM, 1984, ORGAN BEHAV HUM DEC, V34, P21 0199 PODSAKOFF PM, 1986, J MANAGE, V12, P531 0200 PODSAKOFF PM, 2003, J APPL PSYCHOL, V88, P879 0201 RICK J, 2001, 356 HSEHMSO 0202 SCHMITT N, 1994, J ORGAN BEHAV, V15, P393 0203 SCULLEN SE, 2000, J APPL PSYCHOL, V85, P956 0204 SEMMER N, 1996, J OCCUP ORGAN PSYC 3, V69, P293 0205 SIU OL, 2003, INT J PSYCHOL, V38, P337 0206 SPARKS K, 2001, J OCCUP ORGAN PSYC 4, V74, P489 0207 SPECTOR PE, 1987, J APPL PSYCHOL, V72, P438 0208 SPECTOR PE, 1988, J APPL PSYCHOL, V70, P469 0209 SPECTOR PE, 1994, J ORGAN BEHAV, V15, P385 0210 SPECTOR PE, 1998, J OCCUP HEALTH, V3, P356 0211 SPECTOR PE, 2006, ORGAN RES METHODS, V9, P221 0212 SRIVASTAVA AK, 1991, PSYCHOL STUD, V36, P34 0213 STEEN N, 1998, STRUCTURAL EQUATION, V5, P125 0214 SULLIVAN SE, 1992, J MANAGE, V18, P353 0215 TARIS TW, 2006, WORK STRESS, V20, P316 0216 THOMSON L, 2003, 138 HSEHMSO 0217 VANDYNE L, 2002, J ORGAN BEHAV, V23, P57 0218 VISWESVARAN C, 2005, J APPL PSYCHOL, V90, P108 0219 WARR P, 1990, J OCCUP PSYCHOL, V63, P193 0220 WESTMAN M, 1991, J SOC BEHAV PERS, V6, P127 0221 WESTMAN M, 1996, WORK STRESS, V10, P165 0222 ZAPF D, 1996, J OCCUP HEALTH, V1, P145 0223 NR 88 0224 TC 0 0225 PU TAYLOR & FRANCIS LTD 0226 PI ABINGDON 0227 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 0228 SN 0267-8373 0229 J9 WORK STRESS 0230 JI Work Stress 0231 PD APR-JUN 0232 PY 2007 0233 VL 21 0234 IS 2 0235 BP 99 0236 EP 116 0237 PG 18 0238 SC Psychology, Applied 0239 GA 195JW 0240 UT ISI:000248409500001 0241 ER 0242 0243 PT J 0244 AU Spector, PE 0245 Coulter, ML 0246 Stockwell, HG 0247 Matz, MW 0248 AF Spector, Paul E. 0249 Coulter, Martha L. 0250 Stockwell, Heather G. 0251 Matz, Mary W. 0252 TI Perceived violence climate: A new construct and its relationship to 0253 workplace physical violence and verbal aggression, and their potential 0254 consequences 0255 SO WORK AND STRESS 0256 LA English 0257 DT Article 0258 DE violence climate; verbal aggression; healthcare; perceived violence; 0259 work-related stress 0260 ID SAFETY CLIMATE; NEGATIVE AFFECTIVITY; OCCUPATIONAL-SAFETY; JOB 0261 STRESSORS; WORK; MODEL; BEHAVIOR; STRAINS; ORGANIZATION; PERFORMANCE 0262 AB Workplace accidents and violence are both potential sources of employee 0263 injuries that have been dealt with in entirely separate literatures. In 0264 this study we adapted the concept of safety climate from the 0265 accident/injury literature to violence in developing the concept of 0266 perceived. violence climate. A scale was developed to assess perceived 0267 violence climate, including items about management attention, concern, 0268 and policies designed to keep employees safe from violence. Data were 0269 collected from a sample of 198 nurses from a US Hospital. Perceived 0270 violence climate was found to correlate significantly with both 0271 physical violence and verbal aggression experienced by the nurses, 0272 injury from violence, and perceptions of workplace danger. Furthermore, 0273 regression analyses showed that climate explained additional variance 0274 in psychological strain and perceptions of danger over experienced 0275 violence. These results have implications for interventions aimed at 0276 producing a good perceived violence climate in order to reduce the 0277 incidence of violence and aggression within an organization. 0278 C1 Univ S Florida, Dept Psychol, PCD4118, Tampa, FL 33620 USA. 0279 Univ S Florida, Dept Community & Family Hlth, Tampa, FL 33620 USA. 0280 Univ S Florida, Dept Epidemiol & Biostat, Tampa, FL 33620 USA. 0281 VISN 8 Patient Safety Ctr Inquiry, Dept Vet Affairs Med Ctr, Tampa, FL USA. 0282 RP Spector, PE, Univ S Florida, Dept Psychol, PCD4118, Tampa, FL 33620 USA. 0283 EM spector@shell.cas.usf.edu 0284 CR *NIOSH, 1996, VIOL WORKPL RISK FAC 0285 *VET HLTH ADM, 2001, REP VHA TASK FORC VI 0286 AGERVOLD M, 2004, WORK STRESS, V18, P336 0287 ANDERSON C, 2002, ISSUES MENTAL HLTH N, V23, P351 0288 AYRANCI U, 2006, J INTERPERS VIOLENCE, V21, P276 0289 BARLING J, 2001, J OCCUP HEALTH, V6, P255 0290 BARLING J, 2002, J APPL PSYCHOL, V87, P488 0291 BEECH B, 2006, AGGRESS VIOLENT BEH, V11, P27 0292 BULATAO EQ, 1996, VIOLENCE JOB IDENTIF, P1 0293 CHEN PY, 1991, J APPL PSYCHOL, V76, P398 0294 COOPER MD, 2004, J SAFETY RES, V35, P497 0295 DEJOY DM, 2004, J SAFETY RES, V35, P81 0296 DEROGATIS LR, 2003, BRIEF SYMPTOM INVENT, V18 0297 DUPRE KE, 2003, MISBEHAVIOUR DYSFUNC, P13 0298 EINARSEN S, 2000, AGGRESS VIOLENT BEH, V5, P379 0299 ERGUN FS, 2005, INT NURS REV, V52, P154 0300 GATES D, 2003, ISSUES MENTAL HLTH N, V24, P775 0301 GOLDENHAR LM, 2003, WORK STRESS, V17, P218 0302 HALL JK, 1991, WORK STRESS, V5, P29 0303 HAYES BE, 1998, J SAFETY RES, V29, P145 0304 HEGNEY D, 2003, INT J NURSING PRACTI, V9, P261 0305 HOFMANN DA, 2003, J APPL PSYCHOL, V88, P170 0306 KELLOWAY EK, 2006, HDB WORKPLACE VIOLEN, P3 0307 LANZA M, 2006, HDB WORKPLACE VIOLEN, P147 0308 LEBLANC MM, 2002, J APPL PSYCHOL, V87, P444 0309 LIN YH, 2005, INT J NURS STUD, V42, P773 0310 NEAL A, 2000, SAFETY SCI, V34, P99 0311 NEAL A, 2004, PSYCHOL WORKPLACE SA, P15 0312 NUNNALLY JC, 1978, PSYCHOMETRIC THEORY 0313 OLEARYKELLY AM, 1996, ACAD MANAGE REV, V21, P225 0314 PEARSON CM, 2005, COUNTERPRODUCTIVE WO, P177 0315 PROBST TM, 2004, J OCCUP HEALTH PSYCH, V9, P3 0316 REICH RB, 1996, VIOLENCE JOB IDENTIF, P399 0317 ROBINSON SL, 1998, ACAD MANAGE J, V41, P658 0318 SCALORA MJ, 2003, J INTERPERS VIOLENCE, V18, P310 0319 SCHAT ACH, 2000, J OCCUP HEALTH, V5, P386 0320 SCHAT ACH, 2003, J OCCUP HEALTH, V8, P110 0321 SCHNEIDER B, 2000, HDB ORG CULTURE CLIM, P21 0322 SIU OL, 2004, ACCIDENT ANAL PREV, V36, P359 0323 SPECTOR PE, 1994, J OCCUP ORGAN PSYCH, V67, P1 0324 SPECTOR PE, 1998, J OCCUP HEALTH, V3, P356 0325 VANDENBOS GR, 1996, VIOLENCE JOB 0326 WALSH BR, 2003, WORK STRESS, V17, P170 0327 ZACHARATOS A, 2005, J APPL PSYCHOL, V90, P77 0328 ZAPF D, 2005, COUNTERPRODUCTIVE WO, P237 0329 ZOHAR D, 2000, J APPL PSYCHOL, V85, P587 0330 ZOHAR D, 2002, J APPL PSYCHOL, V87, P156 0331 ZOHAR D, 2003, HLTH SAFETY ORG MULT, P201 0332 ZOHAR D, 2005, J APPL PSYCHOL, V90, P616 0333 NR 49 0334 TC 0 0335 PU TAYLOR & FRANCIS LTD 0336 PI ABINGDON 0337 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 0338 SN 0267-8373 0339 J9 WORK STRESS 0340 JI Work Stress 0341 PD APR-JUN 0342 PY 2007 0343 VL 21 0344 IS 2 0345 BP 117 0346 EP 130 0347 PG 14 0348 SC Psychology, Applied 0349 GA 195JW 0350 UT ISI:000248409500002 0351 ER 0352 0353 PT J 0354 AU Burger, CM 0355 Bayer, P 0356 Finkel, M 0357 AF Buerger, Claudius M. 0358 Bayer, Peter 0359 Finkel, Michael 0360 TI Algorithmic funnel-and-gate system design optimization 0361 SO WATER RESOURCES RESEARCH 0362 LA English 0363 DT Article 0364 ID PERMEABLE REACTIVE BARRIERS; OUTER APPROXIMATION METHOD; 0365 GROUNDWATER-REMEDIATION; MODEL DEVELOPMENT; HYDRAULIC DESIGN; 0366 SIMULATION; ADAPTATION; MANAGEMENT; PLUMES 0367 AB Funnel-and-gate systems ( FGSs), which constitute a common variant of 0368 permeable reactive barriers used for in situ treatment of groundwater, 0369 pose particular challenges to the task of design optimization. Because 0370 of the complex interplay of funnels and gates, the evolutionary 0371 algorithms applied have to cope with multimodality, nonseparability, 0372 and nonlinearity of the optimization task. We analyze these features in 0373 a test case, introducing an objective function for design cost and 0374 constraints to account for plume capture and detention time in the gate 0375 reactors. We show that the derandomized evolution strategy with 0376 covariance matrix adaptation (CMA-ES) does solve the given design 0377 optimization problem with high success rates. We further examine the 0378 performance of the algorithm for the example of four-gate systems in 0379 three heterogeneous template aquifers. Here a special focus is set on 0380 the parameterization of the FGS (i.e., the problem encoding). The 0381 comparison of three different encodings reveals their significance 0382 concerning the search progress and its success. Among the found optimal 0383 and near-optimal design solutions, mutual patterns were recognized. In 0384 particular, a large central barrier seems to be a superior feature. 0385 C1 Univ Tubingen, Ctr Appl Geosci, Tubingen, Germany. 0386 RP Burger, CM, Univ Tubingen, Ctr Appl Geosci, Tubingen, Germany. 0387 EM claudius.buerger@uni-tuebingen.de 0388 CR *LUA, 1998, LEIST ALTL FLACH 199 0389 *US EPA, 2002, FIELD APPL SITUREMED 0390 ATWOOD DF, 1985, J HYDROL, V76, P85 0391 BACK T, 2000, EVOLUTIONARY COMPUTA 0392 BAYER P, 2004, WATER RESOUR RES, V40 0393 BAYER P, 2006, J CONTAM HYDROL, V83, P171 0394 BAYER P, 2006, WATER RESOUR RES, P43 0395 BURGER C, 2003, GRUNDWASSER, V8, P169 0396 BURGER C, 2003, IAHS PUBL, V277, P448 0397 BURGER C, 2005, IASH PUBL, V298, P125 0398 CAI JB, 1996, ADV ENG SOFTW, V25, P177 0399 CHANDLER DS, 2005, T AM ENTOMOL SOC, V131, P1 0400 CIRPKA OA, 2004, WATER RESOUR RES, V40 0401 CRAIG JR, 2006, ADV WATER RESOUR, V29, P99 0402 CULVER TB, 1993, WATER RESOUR RES, V29, P823 0403 DAGAN G, 1989, FLOW TRANSPORT POROU 0404 DEUTSCH CV, 1992, GSLIB GEOSTATISTICAL 0405 DOUGHERTY DE, 1991, WATER RESOUR RES, V27, P2493 0406 GAVASKAR AR, 1999, J HAZARD MATER, V68, P41 0407 GOLDBERG DE, 1989, GENETIC ALGORITHMS 0408 GUAN J, 1999, J HYDROL, V221, P20 0409 HANSEN N, 1998, THESIS TECH U BERLIN 0410 HANSEN N, 2001, EVOL COMPUT, V9, P159 0411 HANSEN N, 2003, EVOL COMPUT, V11, P1 0412 HARBAUGH AW, 1990, 90392 US GEOL SURV 0413 HARBAUGH AW, 2000, 0092 US GEOL SURV 0414 HERDY M, 1991, LECT NOTES COMPUT SC, V496, P188 0415 HSIAO CT, 2005, GROUND WATER, V43, P904 0416 KARATZAS GP, 1993, WATER RESOUR RES, V29, P3371 0417 LEFKOFF LJ, 1986, GROUND WATER, V24, P777 0418 LOBO F, 2000, THESIS U NOVA LISBOA 0419 MAIER U, 2006, J CONTAM HYDROL, V85, P33 0420 MORENO L, 1994, WATER RESOUR RES, V30, P1421 0421 MULLIGAN AE, 1999, WATER RESOUR RES, V35, P2285 0422 NUNES LM, 2004, J WATER RES PL-ASCE, V130, P33 0423 PAPADOPOULOU MP, 2003, WATER RESOUR RES, V39 0424 POLLOCK DW, 1994, 94464 US GEOL SURV 0425 RATZLAFF SA, 1992, GROUND WATER, V30, P607 0426 RECHENBERG I, 1994, EVOLUTIONSSTRATEGIE 0427 REED P, 2000, WATER RESOUR RES, V36, P1457 0428 RUBIN Y, 2003, APPL STOCHASTIC HYDR 0429 SEDIVY RA, 1999, GROUND WATER MONIT R, V19, P125 0430 SMITH SW, 1997, J EMOT BEHAV DISORD, V5, P2 0431 STARR RC, 1994, GROUND WATER, V32, P465 0432 TEUTSCH G, 1997, LAND CONTAMINATION R, V5, P125 0433 WANG W, 1994, WATER RESOUR RES, V30, P1605 0434 YOON JH, 1999, J WATER RES PL-ASCE, V125, P54 0435 ZHENG CM, 1999, WATER RESOUR RES, V35, P137 0436 ZHENG CM, 2002, GROUND WATER, V40, P258 0437 NR 49 0438 TC 0 0439 PU AMER GEOPHYSICAL UNION 0440 PI WASHINGTON 0441 PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA 0442 SN 0043-1397 0443 J9 WATER RESOUR RES 0444 JI Water Resour. Res. 0445 PD AUG 24 0446 PY 2007 0447 VL 43 0448 IS 8 0449 AR W08426 0450 DI ARTN W08426 0451 PG 19 0452 SC Environmental Sciences; Limnology; Water Resources 0453 GA 204IR 0454 UT ISI:000249037700001 0455 ER 0456 0457 PT J 0458 AU Duff, GC 0459 AF Duff, Glenn C. 0460 TI Integrating lifetime nutrition: From cow/calf to stocker to feedlot 0461 SO VETERINARY CLINICS OF NORTH AMERICA-FOOD ANIMAL PRACTICE 0462 LA English 0463 DT Article 0464 ID WINTER-WHEAT PASTURE; EARLY-WEANED STEERS; CARCASS CHARACTERISTICS; 0465 BEEF STEERS; RUMINAL FERMENTATION; DIGESTA KINETICS; CALF PERFORMANCE; 0466 BODY-COMPOSITION; TALL FESCUE; GROWTH 0467 AB Given the diversity of nutritional background of beef cattle, the more 0468 information the nutritionist can acquire, the better the nutritional 0469 management programs during the finishing period can be developed. Some 0470 factors that should be accounted for include weaning status and 0471 previous growing treatments. Working cattle up on feed and bunk 0472 management continue to be a challenge for nutritional consultants. Use 0473 of anabolic implants continues to be one of the most effective 0474 management programs; however carcass quality may be affected with some 0475 implants. 0476 C1 Univ Arizona, Dept Anim Sci, Coll Agr & Life Sci, Tucson, AZ 85721 USA. 0477 RP Duff, GC, Univ Arizona, Dept Anim Sci, Coll Agr & Life Sci, 217 Shantz 0478 Bldg,POB 210038, Tucson, AZ 85721 USA. 0479 EM gduff@ag.arizona.edu 0480 CR *NAT OFF AN HLTH C, POL 0481 *NRC, 1984, NUTR REQ BEEF CATTL 0482 *NRC, 1996, NUTR REQ BEEF CATTL 0483 *USDA, 2000, BAS REF FEEDL MAN PR 0484 AHOLA JK, 2005, PROFESSIONAL ANIMAL, V21, P305 0485 AIKEN GE, 2006, J ANIM SCI, V84, P1626 0486 ARTHINGTON JD, 2003, J ANIM SCI, V81, P1136 0487 ARTHINGTON JD, 2004, PROF ANIM SCI, V20, P34 0488 ARTHINGTON JD, 2005, J ANIM SCI, V83, P933 0489 BECONI MG, 1995, J ANIM SCI, V73, P1576 0490 BRANINE ME, 1990, J ANIM SCI, V68, P1139 0491 BRUNS KW, 2004, J ANIM SCI, V82, P1315 0492 BRUNS KW, 2005, J ANIM SCI, V83, P108 0493 CHEATHAM RC, THESIS U ARIZONA TUC 0494 CHOAT WT, 2002, J ANIM SCI, V80, P2726 0495 CHOAT WT, 2003, J ANIM SCI, V81, P3191 0496 COLE NA, 2001, PROF ANIM SCI, V17, P174 0497 DICOSTANZO A, 1999, PROFESSIONAL ANIMAL, V15, P116 0498 DRAGER CD, 2004, PROFESSIONAL ANIMAL, V20, P255 0499 FIESER BG, 2004 ANIMAL SCI RES, P1008 0500 FULTON RW, 2002, CAN J VET RES, V66, P173 0501 GALYEAN ML, 1996, J ANIM SCI, V74, P2860 0502 GALYEAN ML, 1996, P SW NUTR MAN C U AR, P27 0503 GALYEAN ML, 1999, J ANIM SCI, V77, P1120 0504 GALYEAN ML, 1999, PROF ANIM SCI, V15, P1 0505 GALYEAN ML, 2002, LIVESTOCK FEEDS FEED, P361 0506 GARDNER BA, 1999, J ANIM SCI, V77, P3168 0507 GUNTER SA, 1996, PROF ANIM SCI, V12, P167 0508 GUNTER SA, 2004, J ANIM SCI, V82, E75 0509 HERSOM MJ, 2004, J ANIM SCI, V82, P262 0510 HORN GW, 1995, J ANIM SCI, V73, P45 0511 HORN GW, 2005, J ANIM SCI SE, V83, E69 0512 LOERCH SC, 1990, J ANIM SCI, V68, P3086 0513 LUSBY KS, 1990, J PROD AGRIC, V3, P103 0514 MALCOLMCALLIS KJ, 2000, J ANIM SCI, V78, P2801 0515 MYERS SE, 1999, J ANIM SCI, V77, P300 0516 MYERS SE, 1999, J ANIM SCI, V77, P311 0517 MYERS SE, 1999, J ANIM SCI, V77, P323 0518 NICHOLS WT, 2002, PROFESSIONAL ANIMAL, V18, P202 0519 PETERSON GA, 1987, J ANIM SCI, V64, P15 0520 PHILLIPS WA, 2001, J ANIM SCI, V79, P1370 0521 PLATTER WJ, 2003, J ANIM SCI, V81, P984 0522 ROEBER DL, 2001, PROF ANIM SCI, V17, P39 0523 SCANGA JA, 1998, J ANIM SCI, V76, P2040 0524 SCHEFFLER JM, 2003, J ANIM SCI, V81, P2395 0525 SCHMIDT TB, 2005, PROFESSIONAL ANIMAL, V21, P332 0526 SCHOONMAKER JP, 2001, J ANIM SCI, V79, P1074 0527 SCHOONMAKER JP, 2003, J ANIM SCI, V81, P843 0528 SCHOONMAKER JP, 2004, J ANIM SCI, V82, P273 0529 SCHWARTZKOPFGEN.KS, 2003, J ANIM SCI S2, V81, E149 0530 STOCK RA, 1995, J ANIM SCI, V73, P39 0531 THOMPSON FN, 2001, J RANGE MANAGE, V54, P474 0532 TROXEL TR, 2002, PROF ANIM SCI, V18, P227 0533 VANAMBURGH M, 2003, P SW NUTR MAN C TUCS, P1 0534 VOYLES BL, 2004, PROFESSIONAL ANIMAL, V20, P344 0535 WHITHEY TR, 2006, LIVEST SCI, V101, P1 0536 WHITNEY T, 2006, J FOOD AGRIC ENVIRON, V4, P49 0537 ZINN RA, 1995, S INT FEEDL CATTL OK, P167 0538 NR 58 0539 TC 0 0540 PU W B SAUNDERS CO-ELSEVIER INC 0541 PI PHILADELPHIA 0542 PA 1600 JOHN F KENNEDY BOULEVARD, STE 1800, PHILADELPHIA, PA 19103-2899 USA 0543 SN 0749-0720 0544 J9 VET CLIN N AMER-FOOD ANIM PR 0545 JI Vet. Clin. N. Am.-Food Anim. Pract. 0546 PD JUL 0547 PY 2007 0548 VL 23 0549 IS 2 0550 BP 177 0551 EP + 0552 PG 16 0553 SC Veterinary Sciences 0554 GA 195VN 0555 UT ISI:000248440400003 0556 ER 0557 0558 PT J 0559 AU Nagaraja, TG 0560 Lechtenberg, KF 0561 AF Nagaraja, T. G. 0562 Lechtenberg, Kelly F. 0563 TI Acidosis in feedlot cattle 0564 SO VETERINARY CLINICS OF NORTH AMERICA-FOOD ANIMAL PRACTICE 0565 LA English 0566 DT Article 0567 ID SUBACUTE RUMINAL ACIDOSIS; INDUCED LACTIC-ACIDOSIS; DISTILLERS 0568 BY-PRODUCTS; HIGH CONCENTRATE DIETS; HIGH MOISTURE CORN; 0569 STREPTOCOCCUS-BOVIS; FINISHING PERFORMANCE; MEGASPHAERA-ELSDENII; 0570 FEEDING COMBINATIONS; CILIATED PROTOZOA 0571 AB Mortality from digestive diseases in feedlot cattle is second only to 0572 that from respiratory diseases. Acidosis is a major digestive disorder 0573 and is likely to continue because of ongoing attempts to improve the 0574 efficiency of beef production by feeding more grain and less roughage. 0575 Subacute acidosis is the most prevalent form of acidosis in feedlots 0576 but is difficult to diagnose because of the absence of overt clinical 0577 signs. Control of acidosis is achieved largely by sound nutritional 0578 management. No single strategy or solution exists; however, an 0579 effective management strategy should factor in dietary formulation, a 0580 consistent feeding program, prudent bunk management, use of nonstarch 0581 by-products, and feed additives to minimize pen-to-pen and 0582 animal-to-animal variations in feed intake. 0583 C1 Kansas State Univ, Coll Vet Med, Dept Diagnost Med Pathobiol, Manhattan, KS 66506 USA. 0584 Midwest Vet Serv Inc, Oakland, NE 68405 USA. 0585 RP Nagaraja, TG, Kansas State Univ, Coll Vet Med, Dept Diagnost Med 0586 Pathobiol, 305 Coles Hall, Manhattan, KS 66506 USA. 0587 EM tnagaraj@vet.k-state.edu 0588 CR AIUMLAMAI S, 1992, ACTA VET SCAND, V33, P117 0589 ALJASSIM RAM, 1999, RECENT ADV ANIMAL NU, V12, P91 0590 ALLISON MJ, 1964, SCIENCE, V144, P54 0591 ANDERSEN PH, 1990, ACTA VET SCAND, V31, P27 0592 ANDERSEN PH, 1994, ACTA VET SCAND, V35, P223 0593 ANDERSEN PH, 1994, J ANIM SCI, V72, P481 0594 BARTLEY EE, 1981, J ANIM SCI, V52, P1150 0595 BEVANS DW, 2005, J ANIM SCI, V83, P1116 0596 BONHOMME A, 1990, ANIM FEED SCI TECH, V30, P203 0597 BRAUN U, 1992, VET REC, V130, P343 0598 BRENT BE, 1976, J ANIM SCI, V43, P930 0599 BRITTON RA, 1989, P CORN NUTR C FEED M, P8 0600 BROWN MS, 2000, J ANIM SCI, V78, P3155 0601 BURRIN DG, 1986, J ANIM SCI, V63, P888 0602 BURRIN DG, 1988, J ANIM SCI, V66, P513 0603 CARTER RR, 1990, J ANIM SCI, V68, P2811 0604 COE ML, 1999, J ANIM SCI, V77, P2259 0605 COOPER R, 1998, NEBRASKA BEEF REP, P75 0606 COUNOTTE GHM, 1981, APPL ENVIRON MICROB, V42, P649 0607 CRICHLOW EC, 1985, AM J VET RES, V46, P1908 0608 DOUGHERTY RW, 1976, BUFFERS RUMINANT PHY, P49 0609 DUNLOP RH, 1972, ADV VET SCI COMP MED, V16, P259 0610 ELAM CJ, 1976, J ANIM SCI, V43, P898 0611 ERICKSON GE, 2003, J ANIM SCI, V81, P2869 0612 FINLAYSON HJ, 1986, J APPL BACTERIOL, V61, P201 0613 FRANZOLIN R, 1996, J ANIM SCI, V74, P2803 0614 FULTON WR, 1979, J ANIM SCI, V49, P775 0615 GILL HS, 2000, VACCINE, V18, P2541 0616 GOAD DW, 1998, J ANIM SCI, V76, P234 0617 GOZHO GN, 2005, J DAIRY SCI, V88, P1399 0618 HAM GA, 1994, J ANIM SCI, V72, P3246 0619 HORN GW, 1979, J ANIM SCI, V48, P683 0620 HOWARD J, 1981, BOVINE PRACT, V16, P44 0621 HRISTOV AN, 2001, J ANIM SCI, V79, P515 0622 HUBER TL, 1976, AM J VET RES, V37, P611 0623 HUBER TL, 1976, J ANIM SCI, V43, P902 0624 HUFFMAN RP, 1992, J ANIM SCI, V70, P3889 0625 HUNGATE RE, 1978, PARASITIC PROTOZOA, V2, P655 0626 IRWIN LN, 1979, J ANIM SCI, V48, P367 0627 JACOBSEN S, 2005, VET RES, V36, P167 0628 KLOPFENSTEIN T, DISTILLERS GRAINS BE 0629 KOERS WC, 1976, J ANIM SCI, V43, P684 0630 KRAUSE KM, 2006, ANIM FEED SCI TECH, V126, P215 0631 KREHBIEL CR, 1995, J ANIM SCI, V73, P2438 0632 LARSON EM, 1993, J ANIM SCI, V71, P2228 0633 LEEDLE JAZ, 1982, APPL ENVIRON MICROB, V44, P402 0634 MACKIE RI, 1978, J AGR SCI, V90, P241 0635 MAROUNEK M, 1989, APPL ENVIRON MICROB, V55, P1570 0636 MCALLISTER TA, 1990, APPL ENVIRON MICROB, V56, P3146 0637 MENDOZA GD, 1993, J ANIM SCI, V71, P1572 0638 NAGARAJA TG, 1978, CAN J MICROBIOL, V24, P1253 0639 NAGARAJA TG, 1978, J ANIM SCI, V47, P1329 0640 NAGARAJA TG, 1979, J ANIM SCI, V49, P567 0641 NAGARAJA TG, 1985, AM J VET RES, V46, P2444 0642 NAGARAJA TG, 1986, CAN J ANIM SCI, V66, P129 0643 NAGARAJA TG, 1989, AUSTRALAS J ANIM SCI, V2, P465 0644 NAGARAJA TG, 1990, RUMEN ECOSYSTEM MICR, P187 0645 NAGARAJA TG, 1992, APPL ENVIRON MICROB, V58, P2410 0646 NAGARAJA TG, 1996, COMP CONT EDUC PRA S, V18, S230 0647 NAGARAJA TG, 1997, RUMEN MICROBIAL ECOS, P523 0648 NAGARAJA TG, 2007, J DAIRY SCI S, V90, E17 0649 NEWBOLD CJ, 1986, J SCI FOOD AGR, V27, P1083 0650 NEWBOLD CJ, 1987, J SCI FOOD AGR, V38, P9 0651 NOCEK JE, 1997, J DAIRY SCI, V80, P1005 0652 NORDLUND KV, 1995, COMPEND CONTIN ED PR, V17, S48 0653 OWENS FN, 1998, J ANIM SCI, V76, P275 0654 PRITCHARD RH, 2003, J ANIM SCI S2, V81, E133 0655 REINHARDT CD, 1997, J ANIM SCI, V75, P2852 0656 RICKE SC, 1996, CRIT REV MICROBIOL, V22, P27 0657 RUSSELL JB, 1991, APPL ENVIRON MICROB, V57, P3383 0658 SHARPE ME, 1973, J GEN MICROBIOL, V77, P37 0659 SJAASTAD OV, 1967, ACTA VET SCAND, V8, P176 0660 SLYTER LL, 1976, J ANIM SCI, V43, P910 0661 SPIEHS MJ, 2002, J ANIM SCI, V80, P2639 0662 STOCK RA, 1987, J ANIM SCI, V65, P282 0663 STOCK RA, 1987, J ANIM SCI, V65, P290 0664 STOCK RA, 1994, SCI UPDATE RUMENSIN, A1 0665 STOCK RA, 1995, J ANIM SCI, V73, P39 0666 STOCK RA, 2000, P AM ASS BOVINE PRAC, V33, P30 0667 THERION JJ, 1982, APPL ENVIRON MICROB, V44, P428 0668 TJARDES K, 2002, FEEDING CORN DISTILL 0669 TOWNE G, 1990, APPL ENVIRON MICROB, V56, P3174 0670 VEIRA DM, 1986, J ANIM SCI, V63, P1547 0671 WELLS JE, 1997, FEMS MICROBIOL ECOL, V22, P237 0672 NR 84 0673 TC 0 0674 PU W B SAUNDERS CO-ELSEVIER INC 0675 PI PHILADELPHIA 0676 PA 1600 JOHN F KENNEDY BOULEVARD, STE 1800, PHILADELPHIA, PA 19103-2899 USA 0677 SN 0749-0720 0678 J9 VET CLIN N AMER-FOOD ANIM PR 0679 JI Vet. Clin. N. Am.-Food Anim. Pract. 0680 PD JUL 0681 PY 2007 0682 VL 23 0683 IS 2 0684 BP 333 0685 EP + 0686 PG 20 0687 SC Veterinary Sciences 0688 GA 195VN 0689 UT ISI:000248440400013 0690 ER 0691 0692 PT J 0693 AU Nagaraja, TG 0694 Lechtenberg, KF 0695 AF Nagaraja, T. G. 0696 Lechtenberg, Kelly F. 0697 TI Liver abscesses in feedlot cattle 0698 SO VETERINARY CLINICS OF NORTH AMERICA-FOOD ANIMAL PRACTICE 0699 LA English 0700 DT Article 0701 ID BOVINE HEPATIC-ABSCESSES; FUSOBACTERIUM-NECROPHORUM LEUKOTOXIN; 0702 NEUTRALIZING ANTIBODY-RESPONSE; ALL-CONCENTRATE RATIONS; IMPROVED 0703 WEIGHT GAINS; ACTINOMYCES-PYOGENES; CORYNEBACTERIUM PYOGENES; 0704 FUSIFORMIS NECROPHORUS; EXPERIMENTAL-INFECTION; PATHOGENIC SYNERGY 0705 AB Liver abscesses in feedlot cattle result from aggressive grain-feeding 0706 programs and are influenced by a number of dietary and management 0707 factors. They have a major economic impact on the feedlot industry 0708 because of liver condemnation and reduced animal performance and 0709 carcass yield. Ruminal lesions resulting from acidosis usually are 0710 accepted as the predisposing factors. Generally, control of liver 0711 abscesses in feedlot cattle has depended on the use of tylosin, which 0712 reduces abscess incidence by 40% to 70%. However, new methods and 0713 products for liver abscess control are needed. Corn milling by-products 0714 that are less fermentable may aide in the quest for cattle production 0715 techniques that lead to lower usage of antimicrobials. A vaccine is 0716 also commercially available. 0717 C1 Kansas State Univ, Coll Vet Med, Dept Diagnost Med Pathobiol, Manhattan, KS 66506 USA. 0718 Midwest Vet Serv Inc, Oakland, NE 68045 USA. 0719 RP Nagaraja, TG, Kansas State Univ, Coll Vet Med, Dept Diagnost Med 0720 Pathobiol, 305 Coles Hall, Manhattan, KS 66506 USA. 0721 EM tnagaraj@vet.k-state.edu 0722 CR 2006, FEED ADDITIVE COMPEN 0723 ABE PM, 1976, INFECT IMMUN, V13, P1473 0724 ABE PM, 1976, J COMP PATHOL, V86, P365 0725 BARBOUR EK, 1991, AVIAN DIS, V35, P192 0726 BARTLE SJ, 1991, J ANIM SCI, V69, P3461 0727 BELLINGTON SJ, 1997, J BACTERIOL, V179, P6100 0728 BERG JN, 1982, AM J VET RES, V43, P1580 0729 BIBERSTEIN EL, 1990, REV VET MICROBIOLOGY, P165 0730 BREEZE RG, 1976, BOVINE PRACTITIONER, V11, P64 0731 BRINK DR, 1990, J ANIM SCI, V68, P1201 0732 BROWN H, 1973, J ANIM SCI, V37, P1085 0733 BROWN H, 1975, J ANIM SCI, V40, P207 0734 COE ML, 1999, J ANIM SCI, V77, P2259 0735 COYLEDENNIS JE, 1979, AM J VET RES, V40, P274 0736 DEHAAN KA, 1995, S INT FEEDL CATTL OK, P9 0737 ELAM CJ, 1976, J ANIM SCI, V43, P898 0738 ELSABBAN FF, 1971, AM J VET RES, V32, P1027 0739 EMERY DL, 1985, AUST VET J, V62, P43 0740 EMERY DL, 1986, P WORKSH FOOD ROT RU, P267 0741 FELL BF, 1972, RES VET SCI, V13, P30 0742 FORRESTER LJ, 1985, J CLIN MICROBIOL, V22, P245 0743 FOSTER L, 1970, NEBRASKA BEEF CATTLE, P2 0744 FULTON WR, 1979, J ANIM SCI, V49, P785 0745 GARDNER IA, 1990, J AM VET ASS, V96, P1791 0746 GILL DR, 1979, J ANIM SCI, V49, P1145 0747 GINGERICH DA, 1977, CAN VET J, V18, P96 0748 GUDMUNDSON J, 1980, CAN VET J, V19, P304 0749 HALE WH, 1985, ANIM NUTR HLTH, P12 0750 HALTENIUS P, 1966, CORNELL VET, V56, P187 0751 HARMAN BR, 1989, J ANIM SCI, V67, P311 0752 HARVEY RW, 1968, J ANIM SCI, V27, P1438 0753 HASKINS BR, 1967, J ANIM SCI, V26, P430 0754 HEINEMANN WW, 1978, J ANIM SCI, V47, P34 0755 HICKS RB, 1990, J ANIM SCI, V68, P245 0756 ITABISASHI T, 1987, JPN J VET SCI, V49, P585 0757 ITABISASHI T, 1987, JPN J VET SCI, V49, P673 0758 JENSEN R, 1954, AM J VET RES, V15, P202 0759 JENSEN R, 1954, AM J VET RES, V15, P425 0760 JENSEN R, 1954, AM J VET RES, V15, P5 0761 JONES G, 2004, BOVINE PR, V38, P36 0762 KANOE M, 1978, JAP J VET SCI, V40, P275 0763 KANOE M, 1989, J MED MICROBIOL, V29, P13 0764 KREIKEMEIER KK, 1990, J ANIM SCI, V68, P2130 0765 LANGWORTH BF, 1977, BACTERIOL REV, V41, P373 0766 LECHTENBERG KF, 1988, AM J VET RES, V49, P58 0767 LECHTENBERG KF, 1991, AM J VET RES, V52, P803 0768 LECHTENBERG KF, 1993, SCI UPDATE RUMENSIN, E1 0769 LECHTENBERG KF, 1998, AM J VET RES, V59, P44 0770 MONTGOMERY TH, 1985, SPECIAL TECHNICAL B 0771 NAGARAJA TG, 1996, COMP CONT EDUC PRA S, V18, S230 0772 NAGARAJA TG, 1996, COMPENDIUM CONTINUIN, V18, P264 0773 NAGARAJA TG, 1998, J ANIM SCI, V76, P287 0774 NAGARAJA TG, 1999, AM J VET RES, V60, P1061 0775 NAGARAJA TG, 1999, J ANIM SCI, V77, P973 0776 NAGARAJA TG, 2005, ANAEROBE, V11, P239 0777 NAKAGAKI M, 1991, MICROBIOS, V66, P117 0778 NAKAJIMA Y, 1986, JPN J VET SCI, V48, P509 0779 NARAYANAN S, 1997, APPL ENVIRON MICROB, V63, P4671 0780 NARAYANAN S, 1998, AM J VET RES, V59, P271 0781 NARAYANAN S, 2002, INFECT IMMUN, V70, P4609 0782 NARAYANAN SK, 2001, INFECT IMMUN, V69, P5447 0783 NARAYANAN SK, 2002, VET MICROBIOL, V84, P337 0784 NARAYANAN SK, 2003, VET MICROBIOL, V93, P335 0785 PENDLUM LC, 1978, J ANIM SCI, V47, P1 0786 POTTER EL, 1985, J ANIM SCI, V61, P1058 0787 POWER HT, 1983, J AM VET MED ASSOC, V182, P806 0788 PURVIS TJ, THESIS KANSAS STATE, P1 0789 QUEEN C, 1994, J WILDLIFE DIS, V30, P1 0790 REBHUN WC, 1980, J AM VET MED ASSOC, V176, P1366 0791 ROBERTS DS, 1967, BRIT J EXP PATHOL, V48, P665 0792 ROBERTS DS, 1967, BRIT J EXPT PATHOLOG, V48, P674 0793 ROGERS JA, 1995, J ANIM SCI, V73, P9 0794 RUBARTH S, 1960, ACTA VET SCAND, V1, P1363 0795 SAGINALA S, 1996, AM J VET RES, V57, P483 0796 SAGINALA S, 1996, VET RES COMMUN, V20, P493 0797 SAGINALA S, 1997, J ANIM SCI, V75, P1160 0798 SCANLAN CM, 1983, CORNELL VET, V73, P288 0799 SCANLAN CM, 1986, AM J VET RES, V47, P924 0800 SCHAUFUSS P, 1989, INT J MED MICROBIOL, V217, P28 0801 SEMAMBO DKN, 1991, VET REC, V129, P12 0802 SHINJO T, 1991, INT J SYST BACTERIOL, V41, P395 0803 SIMON PC, 1971, CAN J COMP MED, V35, P103 0804 SMITH HA, 1944, AM J VET RES, V5, P234 0805 STOCK RA, 1987, J ANIM SCI, V65, P282 0806 STOCK RA, 1990, J ANIM SCI, V63, P770 0807 TAKEUCHI S, 1983, JPN J VET SCI, V45, P775 0808 TAN ZL, 1992, VET MICROBIOL, V32, P15 0809 TAN ZL, 1994, APPL ENVIRON MICROB, V60, P1387 0810 TAN ZL, 1994, FEMS MICROBIOL LETT, V120, P81 0811 TAN ZL, 1994, J ANIM SCI, V72, P502 0812 TAN ZL, 1996, VET RES COMMUN, V20, P113 0813 VOGEL GJ, 1994, J ANIM SCI S1, V72, P293 0814 WIESER MF, 1966, ANIM PROD, V8, P411 0815 ZINN RA, 1996, J ANIM SCI, V74, P1196 0816 NR 94 0817 TC 0 0818 PU W B SAUNDERS CO-ELSEVIER INC 0819 PI PHILADELPHIA 0820 PA 1600 JOHN F KENNEDY BOULEVARD, STE 1800, PHILADELPHIA, PA 19103-2899 USA 0821 SN 0749-0720 0822 J9 VET CLIN N AMER-FOOD ANIM PR 0823 JI Vet. Clin. N. Am.-Food Anim. Pract. 0824 PD JUL 0825 PY 2007 0826 VL 23 0827 IS 2 0828 BP 351 0829 EP + 0830 PG 20 0831 SC Veterinary Sciences 0832 GA 195VN 0833 UT ISI:000248440400014 0834 ER 0835 0836 PT J 0837 AU Lobago, F 0838 Bekana, M 0839 Gustafsson, H 0840 Kindahl, H 0841 AF Lobago, Fikre 0842 Bekana, Merga 0843 Gustafsson, Hans 0844 Kindahl, Hans 0845 TI Longitudinal observation on reproductive and lactation performances of 0846 smallholder crossbred dairy cattle in Fitche, Oromia region, central 0847 Ethiopia 0848 SO TROPICAL ANIMAL HEALTH AND PRODUCTION 0849 LA English 0850 DT Article 0851 DE crossbred cattle; Ethiopia; lactation; reproductive performance; 0852 smallholder 0853 ID COASTAL TANZANIA; COWS; PRODUCTIVITY; HIGHLANDS; CROSSES; GROWTH; 0854 SYSTEM; FARMS 0855 AB A two-year longitudinal study was conducted to assess the reproductive 0856 and lactation performances of smallholder crossbred dairy cattle in 0857 Fitche, central Ethiopia. Twenty-four smallholder dairy farms were 0858 monitored and data on reproductive, breeding, lactation and management 0859 aspects of crossbred dairy cows (n=69) were collected and analysed. 0860 Moreover, milk samples were collected and analysed for progesterone. 0861 The overall Least-squares means for calving interval (CI), calving to 0862 conception interval (CCI) and first observed oestrus after calving were 0863 516, 253 and 141 days, respectively. Suckling significantly prolonged 0864 these intervals. The mean first onset of luteal activity (OLA) after 0865 calving was 52 days, while 67.4% (n=43) had a delayed (> 55 days) 0866 return to cyclicity after calving. Suckling and parity number 0867 significantly (p < 0.05) influenced the OLA. The mean lactation length 0868 was 54.4 weeks. The overall daily mean milk yield for the first 43 0869 weeks of lactation after calving was 11.7 L/day. The estimated daily 0870 milk yield increased slowly and reached peak (13.8 L/day) around the 0871 11th week post partum and declined gradually and steadily. Suckling 0872 status, season of calving and parity number significantly influenced 0873 the estimated daily milk yield. In conclusion, the present study 0874 indicated that the smallholder crossbred dairy cows in the study area 0875 had prolonged intervals to first oestrus after calving, to conception 0876 and to the next calving, and thus their reproductive performance is 0877 unsatisfactory. Delayed first onset of luteal activity (postpartum 0878 anoestrus) contributed to these extended intervals. Further detailed 0879 investigation is suggested to examine the effects of other relevant 0880 factors on the reproductive and lactation performances of smallholder 0881 crossbred dairy cows for appropriate intervention. 0882 C1 Swedish Univ Agr Sci, Dept Clin Sci, SE-75007 Uppsala, Sweden. 0883 Addis Ababa Univ, Fac Med Vet, Debre Zeit, Ethiopia. 0884 Swedish Dairy Assoc, SE-63184 Uppsala, Sweden. 0885 RP Lobago, F, Swedish Univ Agr Sci, Dept Clin Sci, Box 7054, SE-75007 0886 Uppsala, Sweden. 0887 EM fikre_lobago@yahoo.com 0888 CR *ILCA, 1994, ANN REP PROGR HIGHL 0889 ALBERRO M, 1983, ANIM PROD, V37, P247 0890 BEKELE T, 1991, ANIM REPROD SCI, V26, P41 0891 CARRUTHERS TD, 1980, J ANIM SCI, V50, P919 0892 ESSLEMONT RJ, 2003, CATTLE PRACT 4, V11, P237 0893 HAILEMARIAM M, 1993, TROP ANIM HEALTH PRO, V25, P239 0894 KASSA T, 1990, ETH J AGR SCI, V12, P45 0895 LITTLE DA, 1991, TROP ANIM HEALTH PRO, V23, P108 0896 LOBAGO F, 2006, TROP ANIM HEALTH PRO, V38, P333 0897 LYIMO ZC, 2004, TROP ANIM HEALTH PRO, V36, P269 0898 MANN GE, 2005, ANIM REPROD SCI, V88, P169 0899 MASAMA E, 2003, TROP ANIM HEALTH PRO, V35, P117 0900 MSANGA YN, 2003, TROP ANIM HEALTH PRO, V35, P69 0901 MSANGI BSJ, 2005, TROP ANIM HEALTH PRO, V37, P403 0902 MURAGURI GR, 2004, TROP ANIM HEALTH PRO, V36, P673 0903 OBESE FY, 1999, TROP ANIM HEALTH PRO, V31, P181 0904 PETERS AR, 1984, BR VET J, V140, P74 0905 SHIFERAW Y, 2003, TROP ANIM HEALTH PRO, V35, P551 0906 SPICER LJ, 1986, J ANIM SCI, V62, P428 0907 SWAI ES, 2005, TROP ANIM HEALTH PRO, V37, P513 0908 TANNER JC, 2005, SETTING RES AGENDAS, P190 0909 TEODORO RL, 2003, TROP ANIM HEALTH PRO, V35, P105 0910 NR 22 0911 TC 0 0912 PU SPRINGER 0913 PI DORDRECHT 0914 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 0915 SN 0049-4747 0916 J9 TROP ANIM HEALTH PROD 0917 JI Trop. Anim. Health Prod. 0918 PD AUG 0919 PY 2007 0920 VL 39 0921 IS 6 0922 BP 395 0923 EP 403 0924 PG 9 0925 SC Veterinary Sciences 0926 GA 205OM 0927 UT ISI:000249123700003 0928 ER 0929 0930 PT J 0931 AU Radil, K 0932 Dellacorte, C 0933 Zeszotek, M 0934 AF Radil, Kevin 0935 Dellacorte, Chris 0936 Zeszotek, Michelle 0937 TI Thermal management techniques for oil-free turbomachinery systems 0938 SO TRIBOLOGY TRANSACTIONS 0939 LA English 0940 DT Article 0941 DE foil air bearing; gas bearing; turbomachinery 0942 ID FOIL AIR BEARINGS; JOURNAL BEARINGS; PERFORMANCE 0943 AB Tests were performed to evaluate three different methods of utilizing 0944 air to provide thermal management control for compliant journal foil 0945 air bearings. The effectiveness of the methods was based on bearing 0946 bulk temperature and axial thermal gradient reductions during air 0947 delivery. The first method utilized direct impingement of air on the 0948 inner surface of a hollow test journal during operation. The second, 0949 less indirect method achieved heat removal by blowing air inside the 0950 test journal parallel to the shaft axis to simulate air flowing axially 0951 through a hollow shaft. The third method emulated the most common 0952 approach to removing heat by forcing air axially through the bearing's 0953 support structure. Internal bearing temperatures were measured with 0954 three type K thermocouples embedded in the bearing that measured 0955 general internal temperatures and axial thermal gradients. Testing was 0956 performed in a 1 atm, 260 degrees C ambient environment with the 0957 bearing operating at 60 krpm, and supporting a load of 222 N. Air 0958 volumetric flows of 0.06, 0.11, and 0.17 m(3)/min at approximately 150 0959 to 200 degrees C were used. The tests indicate that all three methods 0960 provide thermal management but at different levels of effectiveness. 0961 Axial cooling of the bearing support strucure had a greater effect on 0962 the bulk temperature for each air flow and demonstrated that the 0963 thermal gradients could be influenced by the directionality of the 0964 airflow. Direct air impingement on the journal's inside surface 0965 provided uniform reductions in both bulk temperature and thermal 0966 gradients. Similar to the direct method, indirect journal cooling had a 0967 uniform cooling effect on both bulk temperatures and thermal gradients 0968 but was the least effective of the three methods. 0969 C1 Purdue Univ, W Lafayette, IN 47907 USA. 0970 CR AGARWAL GL, 1990, 901236 SOC AUT ENG 0971 BRODERSEN S, 1996, J FLUID ENG-T ASME, V118, P61 0972 BRUCKNER RJ, 2004, P AIAA ASME SAE ASEE 0973 CURWEN PW, 1968, CR801 NASA, V2 0974 DELLACORTE C, 1997, TM107405 NASA 0975 DELLACORTE C, 1998, NASATM1998208660 0976 DELLACORTE C, 2000, TRIBOL T, V43, P795 0977 DELLACORTE C, 2002, TM2002211483 NASA 0978 DYKAS B, 2004, TRIBOL T, V47, P508 0979 HARMAN R, 1981, GAS TURBINE ENG, P116 0980 HESHMAT H, 1994, J TRIBOL-T ASME, V116, P287 0981 HESHMAT H, 1999, 5988885, US 0982 HOWARD S, 2001, TRIBOL T, V44, P657 0983 KANDEBO SW, 2003, AVIATION WEEK SPACE, P38 0984 LUBELL D, 2006, P ASME TURB EXP BARC 0985 RADIL K, 2002, TRIBOL T, V45, P485 0986 RADIL K, 2004, TRIBOL T, V47, P470 0987 RUSCITTO D, 1978, CR135368 NASA 0988 SALEHI M, 2001, J TRIBOL-T ASME, V123, P566 0989 WALTON JF, 2003, 20031747 ASME, P411 0990 NR 20 0991 TC 0 0992 PU TAYLOR & FRANCIS INC 0993 PI PHILADELPHIA 0994 PA 325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA 0995 SN 1040-2004 0996 J9 TRIBOL TRANS 0997 JI Tribol. Trans. 0998 PD JUL-SEP 0999 PY 2007 1000 VL 50 1001 IS 3 1002 BP 319 1003 EP 327 1004 PG 9 1005 SC Engineering, Mechanical 1006 GA 195GN 1007 UT ISI:000248400600004 1008 ER 1009 1010 PT J 1011 AU Ismail, TH 1012 AF Ismail, Tariq H. 1013 TI Performance evaluation measures in the private sector: Egyptian 1014 practices 1015 SO TRANSFORMATIONS IN BUSINESS & ECONOMICS 1016 LA English 1017 DT Editorial Material 1018 DE balanced scorecard; medium enterprises; management accounting; 1019 performance evaluation; Egyptian private sector 1020 ID BALANCED SCORECARD 1021 AB This study examines performance evaluation measures across private 1022 sector companies in an Egyptian context and pinpoints obstacles that 1023 may limit the adoption of the balanced scorecard (BSC). The analysis of 1024 survey results reveals that companies rely on both financial and 1025 non-financial measures of performance evaluation. The profit margin, as 1026 a financial measure, is the most commonly used performance measure. 1027 Customer satisfaction is the most commonly used non-financial measure 1028 of performance evaluation. The BSC has wide-spread use in Egyptian 1029 companies but the level of use of multi-dimensional indicators is 1030 significantly low. The survey provides considerable insight into 1031 obstacles inhibiting the adoption of the balanced scorecard. The most 1032 significant obstacle is the inadequacy of implemented information 1033 systems. 1034 C1 Cairo Univ, Fac Commerce, Giza, Egypt. 1035 RP Ismail, TH, Cairo Univ, Fac Commerce, Nahdet Misr St, Giza, Egypt. 1036 EM tariqmhi@hotmail.com 1037 CR ABDELKADER M, 2006, BRIT FOOD J, V108, P336 1038 BASU R, 2001, MEASURING BUSINESS E, V5, P7 1039 BLACKWELL DW, 1994, J ACCOUNT ECON, V17, P331 1040 BOURNE M, 2005, MEASURING BUSINESS E, V9, P36 1041 BREWER P, 2002, STRATEGIC FINANC JAN, P44 1042 CADEZ S, 2006, EC BUSINESS REV CENT, V8, P279 1043 GUMBUS A, 2002, STRATEGIC FINANC NOV, P45 1044 ITTNER CD, 2003, HARVARD BUS REV, V81, P88 1045 JOSHI P, 2003, MANAGERIAL AUDITING, V18, P737 1046 JUSOH R, 2006, BUS REV, V5, P51 1047 KAPLAN R, 1996, TRANSLATING STRATEGY 1048 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 1049 KERSHAW R, 2001, MANAGE ACC Q, P28 1050 LIPE MG, 2000, ACCOUNT REV, V75, P283 1051 MAISEL L, 2001, PERFORMANCE MEASUREM 1052 MILES R, 1978, ORG STRATEGY STRUCTU 1053 NORTON D, 2000, BEWARE UNBALANCED SC 1054 PORTER M, 1980, COMPETITIVE STRATEGY 1055 PORTER ME, 1985, COMPETITIVE ADVANTAG 1056 SIM KL, 2001, MEASURING BUSINESS E, V5, P18 1057 NR 20 1058 TC 0 1059 PU VILNIUS UNIV 1060 PI KAUNAS 1061 PA MUITINES G 8,, KAUNAS, LT-44280, LITHUANIA 1062 SN 1648-4460 1063 J9 TRANSFORM BUS ECON 1064 JI Transform. Bus. Econ. 1065 PY 2007 1066 VL 6 1067 IS 1 1068 BP 21 1069 EP 31 1070 PG 11 1071 SC Business; Economics 1072 GA 194PG 1073 UT ISI:000248355700002 1074 ER 1075 1076 PT J 1077 AU Turusbekova, N 1078 Broekhuis, M 1079 Emans, B 1080 Molleman, E 1081 AF Turusbekova, Nonna 1082 Broekhuis, Manda 1083 Emans, Ben 1084 Molleman, Eric 1085 TI The role of individual accountability in promoting quality management 1086 systems 1087 SO TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 1088 LA English 1089 DT Article 1090 DE individual accountability; quality management system; use of the 1091 system; belief in the system 1092 ID PERFORMANCE MANAGEMENT; RESPONSIBILITY; ORGANIZATIONS; EMPOWERMENT; 1093 BEHAVIOR; MODEL; WORK; RULE 1094 AB Workers sometimes violate, more or less deliberately, Quality 1095 Management System ( QMS) procedures and rules, and two of the most 1096 essential causes of such violations are the attitude and motivation of 1097 the workers. The effectiveness of a QMS may therefore benefit from 1098 management tools aimed at promoting desired behaviour. The result could 1099 then be a behaviour-oriented frame for the QMS. The concept of 1100 individual accountability, a pivotal concept in performance management 1101 models, may serve to develop such a frame. In this study, the 1102 relationship between individual accountability factors and the 1103 effectiveness of a QMS is investigated. Individual accountability is 1104 conceived of as the interplay among three factors: system clarity, 1105 social support and personalized responsibility. Data were obtained by 1106 conducting a survey and by interviewing employees of a large gas 1107 company. We found positive relationships between all three 1108 accountability factors and belief in the QMS as well as use of the QMS. 1109 Personalized responsibility and social support appeared to strengthen 1110 the relationship between system clarity and belief in the QMS, whereas 1111 the same factors appeared to weaken the relationship between system 1112 clarity and use of the QMS. Apart from being motivators in themselves, 1113 the three accountability factors thus seem to form a system of 1114 interrelated factors. 1115 C1 Univ Groningen, Fac Management & Org, NL-9700 AV Groningen, Netherlands. 1116 RP Turusbekova, N, Univ Groningen, Fac Management & Org, POB 800, NL-9700 1117 AV Groningen, Netherlands. 1118 EM n.turusbekova@rug.nl 1119 CR AHAUS C, 1994, SYST RES, V11, P77 1120 AIKEN LS, 1991, MULTIPLE REGRESSION 1121 BAKKER AB, 2004, HUM RESOURCE MANAGE, V43, P83 1122 BRUMBACK GB, 2003, TEAM PERFORMANCE MAN, V9, P167 1123 CUMMINGS LL, 1990, APPRECIATIVE MANAGEM, P257 1124 EARLEY PC, 1989, ADMIN SCI QUART, V34, P565 1125 EMANS BJM, 2004, GEDRAG ORG, V17, P448 1126 FORRESTER R, 2000, ACAD MANAGE EXEC, V14, P67 1127 FRINK DD, 1998, HUM RELAT, V51, P1259 1128 FRINK DD, 1998, RES PERSONNEL HUMAN, P1 1129 FRINK DD, 2004, HUMAN RESOURCE MANAG, V14, P1 1130 HACKMAN JR, 1995, ADMIN SCI QUART, V40, P309 1131 HELLISON D, 2000, YOUTH DEV PHYS ACTIV 1132 HILL F, 2004, TOTAL QUAL MANAG BUS, V15, P1025 1133 ICHNIOWSKI C, 1999, MANAGE SCI, V45, P704 1134 JACKSON PR, 2004, INT J QUALITY RELIAB, V21, P714 1135 KLIMOSKI R, 1990, ORGAN BEHAV HUM, V45, P194 1136 LAWTON R, 1998, SAFETY SCI, V28, P77 1137 LERNER JS, 1999, PSYCHOL BULL, V125, P255 1138 LOCKE EA, 1990, THEORY GOAL SETTING 1139 MOLLEMAN E, 2003, PERS REV, V32, P93 1140 OREILLY C, 1986, J APPL PSYCHOL, V71, P492 1141 PARK KO, 2004, AM J HEALTH BEHAV, V28, P444 1142 POCK T, 2004, TOTAL QUAL MANAG BUS, V15, P557 1143 REASON J, 1998, J OCCUP ORGAN PSYC 4, V71, P289 1144 RUZEVICIUS J, 2004, TOTAL QUAL MANAG BUS, V15, P173 1145 SCHLENKER BR, 1991, HDB SOCIAL CLIN PSYC, P96 1146 SIEMIENIUCH CE, 2002, APPL ERGON, V33, P449 1147 WRIGHT PM, 2004, J TEACH PHYS EDUC, V23, P71 1148 NR 29 1149 TC 0 1150 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 1151 PI ABINGDON 1152 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 1153 SN 1478-3371 1154 J9 TOTAL QUAL MANAG BUS EXCELL 1155 JI Total Qual. Manag. Bus. Excell. 1156 PY 2007 1157 VL 18 1158 IS 5 1159 BP 471 1160 EP 482 1161 PG 12 1162 SC Management 1163 GA 192ME 1164 UT ISI:000248205300001 1165 ER 1166 1167 PT J 1168 AU Chang, HH 1169 AF Chang, Hsin Hsin 1170 TI Critical factors and benefits in the implementation of customer 1171 relationship management 1172 SO TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 1173 LA English 1174 DT Article 1175 DE customer relationship management; business process reengineering; 1176 organizational learning; relationship quality; organizational 1177 performance 1178 ID BALANCED SCORECARD; BUSINESS EXCELLENCE; QUALITY; PERFORMANCE; SYSTEM; 1179 SERVICES; MODEL 1180 AB In competitive consumer markets, building and maintaining a good 1181 relationship with customers is essential to long- term business 1182 survival. Currently, firms are applying Customer Relationship 1183 Management ( CRM) to facilitate the maintenance of this relationship. 1184 This investigation applies interview survey methods to explore the 1185 relationship between Business Process Reengineering ( BPR), 1186 Organizational Learning, Relationship Quality, and Organizational 1187 Performance in the implementation of a CRM system. Among these factors, 1188 BPR and Organizational Learning are the first steps in the construction 1189 of CRM. BPR involves staff reward and training, organizational 1190 structure, and information technology tools. Organizational learning 1191 involves commitment to learning, shared visions and open- mindedness. 1192 Relationship Quality involves trust, satisfaction and commitment, which 1193 are intended to be increased by the implementation. The Balanced 1194 Scorecard approach is applied to the measurement of Organizational 1195 Performance, involving the internal business process, learning and 1196 growth, customer, and financial performance perspectives. Overall, the 1197 study supports the proposition relationship between the four 1198 perspectives. The actual implementation of CRM is believed by the 1199 respondents to contribute to an improvement in relationship quality and 1200 organizational performance, and the consensus is that implementation of 1201 a CRM system should be preceded by BPR and organizational learning. 1202 C1 Natl Cheng Kung Univ, Dept Business Adm, Tainan 70101, Taiwan. 1203 RP Chang, HH, Natl Cheng Kung Univ, Dept Business Adm, 1 Univ Rd, Tainan 1204 70101, Taiwan. 1205 EM easyhhc@mail.ncku.edu.tw 1206 CR AHN JY, 2003, IND MANAGE DATA SYST, V103, P324 1207 ATTARAN M, 2004, INFORM MANAGE-AMSTER, V41, P585 1208 BABIN BJ, 1998, J BUS RES, V41, P127 1209 BAKER WE, 1999, J ACAD MARKET SCI, V27, P411 1210 BREWER PC, 2000, J BUSINESS LOGISTICS, V21, P75 1211 CHANG HH, 2005, TOTAL QUAL MANAG BUS, V16, P413 1212 CHANG HH, 2006, INFORM SYST J, V16, P263 1213 CHEN IJ, 2003, BUSINESS PROCESS MAN, V9, P672 1214 CHEN JS, 2004, J GLOB INF MANAG, V12, P1 1215 CHILD J, 2001, HDB ORG LEARNING KNO 1216 CROSBY LA, 1990, J MARKETING, V54, P68 1217 DAFT RL, 2004, ORG THEORY DESIGN 1218 DAVEPORT TH, 1993, PROCESS INNOVATION R 1219 DAVIS TRV, 1993, PLANN REV JUL, P49 1220 DAY GS, 1994, J MARKETING, V58, P37 1221 DIXON N, 1994, ORG LEARNING CYCLE C 1222 DRUCKER PF, 1954, PRACTICE MANAGEMENT 1223 EARL MJ, 1995, J MANAGEMENT INFORMA, V12, P31 1224 ECCLES RG, 1992, MANAGE ACCOUNTING, V74, P41 1225 EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532 1226 FANG SR, 2002, J MANAGE, V19, P1097 1227 FULMER RM, 1994, PLANNING REV, V22, P20 1228 HAMMER M, 1993, REENGINEERING CORPOR 1229 HEDBERG B, 2001, HDB ORG LEARNING KNO 1230 HUGH E, 1996, MANAGE ACCOUNTING, V78, P20 1231 HUNT SD, 1996, J MARKETING, V60, P107 1232 JANSON R, 1992, BUSINESS PROCESS REE 1233 KALAKOTA R, 2001, EBUSINESS 2 0 ROADMA 1234 KANJI GK, 1998, TOTAL QUAL MANAGE, V9, P633 1235 KANJI GK, 2002, TOTAL QUAL MANAGE, V13, P1115 1236 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 1237 KAPLAN RS, 1993, HARVARD BUS REV, V71, P134 1238 KAPLAN RS, 1996, HARVARD BUS REV, V74, P75 1239 KIM DH, 1993, SLOAN MANAGE REV, V35, P37 1240 KIM J, 2003, J INTERACT MARK, V17, P5 1241 LAUDON KC, 2004, MANAGEMENT INFORM SY 1242 LEE JJ, 1999, J AM MOSQUITO CONTR, V15, P4 1243 LEVITT B, 1988, ANNU REV SOCIOL, V14, P319 1244 LYLES MA, 1988, MANAGE INT REV, P85 1245 MORGAN RM, 1994, J MARKETING, V58, P20 1246 REICHHELD FF, 1990, HARVARD BUS REV, V68, P105 1247 REINHARDT R, 2001, HDB ORG LEARNING KNO 1248 ROBERTS K, 2003, EUR J MARKETING, V37, P169 1249 ROSENBERG LJ, 1984, J CONSUMER MARKETING, V1, P45 1250 SMITH JB, 1998, PSYCHOL MARKET, V15, P3 1251 SPENCER B, 1992, MANAGEMENT SERVICES, V36, P40 1252 STATA R, 1989, SLOAN MANAGE REV, V30, P63 1253 TIWANA A, 2001, ESSENTIAL GUIDE KNOW 1254 WHITE BJ, 1997, NURS CONNECT, V10, P5 1255 WIND J, 1991, BUSINESS PROCESS REE 1256 WINER RS, 2001, CALIF MANAGE REV, V43, P89 1257 YANG HL, 2001, ACAD MANAGE REV, V20, P161 1258 NR 52 1259 TC 0 1260 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 1261 PI ABINGDON 1262 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 1263 SN 1478-3371 1264 J9 TOTAL QUAL MANAG BUS EXCELL 1265 JI Total Qual. Manag. Bus. Excell. 1266 PY 2007 1267 VL 18 1268 IS 5 1269 BP 483 1270 EP 508 1271 PG 26 1272 SC Management 1273 GA 192ME 1274 UT ISI:000248205300002 1275 ER 1276 1277 PT J 1278 AU Yusuf, Y 1279 Gunasekaran, A 1280 Dan, G 1281 AF Yusuf, Yahaya 1282 Gunasekaran, Angappa 1283 Dan, Guo 1284 TI Implementation of TQM in China and organisation performance: An 1285 empirical investigation 1286 SO TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 1287 LA English 1288 DT Article 1289 DE TQM; implementation; organisational performance; benefits 1290 ID TOTAL QUALITY MANAGEMENT; IMPROVEMENT; IMPACT 1291 AB This research on Total Quality Management ( TQM) investigates the 1292 essences and processes of TQM implementation and its effects on 1293 organisation performance. In particular, it reports the results of a 1294 questionnaire survey of TQM practices in Chinese companies. The 1295 research identifies a series of concepts under TQM and the significant 1296 benefits it can bring to organisations to help them continuously 1297 improve, not only in product or service quality but also in integrated 1298 company management. The results from the questionnaire indicate that 1299 the adoption of TQM in China is extensive, and the majority of the 1300 expected benefits in the literature have been delivered to these 1301 Chinese companies. In addition, the questionnaire also includes two 1302 comparisons of organisation performance: one is between companies with 1303 and without TQM; the other is among TQM companies. The findings provide 1304 evidence that TQM can positively impact firm performance depending on 1305 the degree of implementation. 1306 C1 Univ Cent Lancashire, Lancashire Business Sch, Preston PR1 2HE, Lancs, England. 1307 Univ Massachusetts Dartmouth, Dept Management, N Dartmouth, MA 02747 USA. 1308 Univ Hull, Sch Business, Kingston Upon Hull HU6 7RX, N Humberside, England. 1309 RP Yusuf, Y, Univ Cent Lancashire, Lancashire Business Sch, Preston PR1 1310 2HE, Lancs, England. 1311 EM yyusuf@uclan.ac.uk 1312 CR AHIRE SL, 2000, J OPER MANAG, V18, P549 1313 BANK J, 1992, ESSENCE TOTAL QUALIT 1314 BESTERFIELD DH, 1995, TOTAL QUALITY MANAGE 1315 CHOI TY, 1995, OMEGA-INT J MANAGE S, V23, P607 1316 COHEN S, 1993, TOTAL QUALITY MANAGE 1317 COLLARD R, 1989, TOTAL QUALITY SUCCES 1318 COSTIN H, 1996, MANAGEMENT DEV TRAIN 1319 CROSBY PB, 1979, QUALITY FREE ART MAK 1320 CULLEN J, 1987, IMPLEMENTING TOTAL Q 1321 DALE BG, 1992, INT J PROD ECON, V27, P57 1322 DEMING WE, 1982, OUT CRISIS 1323 DRUMMOND H, 1992, QUALITY MOVEMENT TOT 1324 FLOOD RL, 1993, TQM 1325 FORZA C, 1998, INT J PROD ECON, V55, P1 1326 GAITHER N, 2002, OPERATIONS MANAGEMEN 1327 GALLOWAY L, 2000, OPERATIONS MANAGEMEN 1328 GEHANI RR, 1993, ACAD MANAGEMENT EXEC, V7, P29 1329 GHOBADIAN A, 1994, TOTAL QUAL MANAGE, V5, P53 1330 GILBERT J, 1992, SLICE SLICE GUIDE TO 1331 HAAG S, 1998, MANAGEMENT INFORM SY 1332 HAKES C, 1991, TOTAL QUALITY MANAGE 1333 HODGETTS RM, 1998, MEASURES QUALITY HIG 1334 KANJI GK, 1996, 100 METHODS TOTAL QU 1335 KAYNAK H, 2003, J OPER MANAG, V21, P405 1336 LEDERER PJ, 1995, J OPERATIONS MANAGEM, V12, P353 1337 LINDBORG H, 2003, QUAL PROG, V36, P84 1338 LOGOTHETIS N, 1992, MANAGING TOTAL QUALI 1339 LOVE PED, 1998, BUSINESS PROCESS MGM, V4, P291 1340 MABEY C, 1995, STRATEGIC HUMAN RESO 1341 MUNTOFAURE L, 1993, ACHIEVING QUALITY ST 1342 OAKLAND JS, 1989, TOTAL QUALITY MANAGE 1343 OAKLAND JS, 1995, TOTAL QUALITY MANAGE 1344 OLIVER N, 1988, INT J QUALITY RELIAB, V7, P21 1345 PARKER N, 1995, BENCHMARKING 1346 PFAU LD, 1989, IND ENG, V21, P17 1347 PORTER L, 1991, INT J QUALITY RELIAB, V18, P16 1348 PORTER ME, 1980, COMPETITIVE STRATEGY, P37 1349 PUFFER SM, 1996, J QUALITY MANAGEMENT, V1, P109 1350 REED R, 2000, J QUALITY MANAGEMENT, V5, P5 1351 RICHARDSON WD, 2000, GLIA, V29, P136 1352 SMITH S, 1988, TQM MAGAZINE, P5 1353 SWIFT JA, 1998, PRINCIPLES TOTAL QUA 1354 TJOSVOLD D, 1991, TEAM ORG ENDURING CO 1355 UGBORO IO, 2000, J QUALITY MANAGEMENT, V5, P247 1356 VITS J, 2002, INT J PROD ECON, V77, P285 1357 WHYTE J, 1992, ADOPTION TOTAL QUALI 1358 WILKINSON A, 1990, TQM MANAGEMENT LABOU 1359 WILKINSON A, 1990, TQM UK FITNESS USE 1360 WILKINSON A, 1994, MARKING QUALITY CRIT 1361 WILKINSON A, 1998, MANAGING TOTAL QUALI 1362 NR 50 1363 TC 0 1364 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 1365 PI ABINGDON 1366 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 1367 SN 1478-3371 1368 J9 TOTAL QUAL MANAG BUS EXCELL 1369 JI Total Qual. Manag. Bus. Excell. 1370 PY 2007 1371 VL 18 1372 IS 5 1373 BP 509 1374 EP 530 1375 PG 22 1376 SC Management 1377 GA 192ME 1378 UT ISI:000248205300003 1379 ER 1380 1381 PT J 1382 AU Yu, SH 1383 AF Yu, Sui-Hua 1384 TI An empirical investigation on the economic consequences of customer 1385 satisfaction 1386 SO TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE 1387 LA English 1388 DT Article 1389 DE customer satisfaction; customer profitability; activity-based costing; 1390 banking industry 1391 ID SERVICE QUALITY; PERFORMANCE; PROFITABILITY; PRODUCTIVITY; MODEL 1392 AB The relationship between customer satisfaction and economic returns has 1393 received growing attention in the customer satisfaction literature. 1394 However, there has been limited work linking customer satisfaction to 1395 customer profitability. Specifically, most empirical studies conduct 1396 firm- wide or business- level tests, but few investigate if individual 1397 customers' satisfaction with products or services drives their purchase 1398 intentions and economic contributions to the firm. Using panel data 1399 from 36 retail branch banks managed by an international financial 1400 institution ( RBANK), which consists of two customer satisfaction data- 1401 points over nine months and monthly-activity based customer 1402 profitability data, this study examines how individual customers' 1403 satisfaction impacts customer revenue, customer costs, and customer 1404 profitability. The results indicate that several dimensions of customer 1405 satisfaction are positively associated with individual customers' 1406 repurchase intentions and firm reputation. The effect of the 1407 responsiveness dimension dominates the effect of other dimensions in 1408 most tests. At RBANK, individual- level customer revenue and costs both 1409 increase as customer satisfaction improves, but no significant relation 1410 exists between customer satisfaction and customer profitability. These 1411 findings shed light on several management issues, such as market 1412 segmentation, customer retention, and the implementation of a balanced 1413 scorecard. Furthermore, this study highlights a way for managers to 1414 analyze customer value, which is beneficial for long- term customer 1415 relationship management. 1416 C1 Natl Chung Cheng Univ, Dept Accounting & Informat Sci, Chiayi 621, Taiwan. 1417 RP Yu, SH, Natl Chung Cheng Univ, Dept Accounting & Informat Sci, 168 Univ 1418 Rd, Chiayi 621, Taiwan. 1419 EM actshy@ccu.edu.tw 1420 CR ANDERSON EW, 1993, MARKET SCI, V12, P125 1421 ANDERSON EW, 1994, J MARKETING, V58, P53 1422 ANDERSON EW, 1996, MARKET LETT, V7, P19 1423 ANDERSON EW, 1997, MARKET SCI, V16, P129 1424 BANK SA, 2000, TUL L REV, V75, P1 1425 BOLTON RN, 1991, J MARKETING, V55, P1 1426 BOULDING W, 1993, J MARKETING RES, V30, P7 1427 FORNELL C, 1992, J MARKETING, V56, P6 1428 FOSTER G, 1997, CUSTOMER PROFITABILI 1429 GREENE W, 1997, ECONOMETRIC ANAL 1430 ITTNER CD, 1998, J ACCOUNTING RES S, V36, P1 1431 ITTNER CD, 1998, J MANAGEMENT ACCOUNT, V10, P205 1432 KAPLAN RS, 1997, BALANCED SCORECARD T 1433 KAPLAN RS, 1998, COST EFFECT USING IN 1434 LIAO H, 2004, ACAD MANAGE J, V47, P41 1435 MATZLER K, 2005, TOTAL QUAL MANAG BUS, V16, P671 1436 PARASURAMAN A, 1988, J RETAILING, V64, P12 1437 REICHHELD FF, 1990, HARVARD BUS REV, V68, P105 1438 RILEY AR, 2003, J ACCOUNTING PUBLIC, V22, P231 1439 ROBERTSON TS, 1986, J MARKETING, V50, P233 1440 RUST R, 1993, J RETAILING, V69, P145 1441 RUST RT, 1994, RETURN QUALITY MEASU 1442 SCHMALENSEE R, 1978, J POLITICAL EC, V86, P485 1443 WANGENHEIM F, 2004, J CONSUMER BEHAV, V3, P211 1444 WESTLUND A, 2001, TOTAL QUAL MANAGE, V12, P385 1445 NR 25 1446 TC 0 1447 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 1448 PI ABINGDON 1449 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 1450 SN 1478-3371 1451 J9 TOTAL QUAL MANAG BUS EXCELL 1452 JI Total Qual. Manag. Bus. Excell. 1453 PY 2007 1454 VL 18 1455 IS 5 1456 BP 555 1457 EP 569 1458 PG 15 1459 SC Management 1460 GA 192ME 1461 UT ISI:000248205300006 1462 ER 1463 1464 PT J 1465 AU Ghanima, W 1466 Sandset, PM 1467 AF Ghanima, W. 1468 Sandset, P. M. 1469 TI Validation of a new D-dimer microparticle enzyme immunoassay (AxSYM 1470 D-Dimer) in patients with suspected pulmonary embolism (PE) 1471 SO THROMBOSIS RESEARCH 1472 LA English 1473 DT Article 1474 DE D-dimer; pulmonary embolism; sensitivity; specificity; ROC curve 1475 ID LIATEST D-DIMER; VENOUS THROMBOEMBOLISM; COMPUTED-TOMOGRAPHY; 1476 OUTPATIENTS; EXCLUSION; DIAGNOSIS; MANAGEMENT; ASSAY; THROMBOSIS; 1477 PERFORMANCE 1478 AB Objectives: The aim of the study was to evaluate a new automated assay 1479 for D-dimer testing (AxSYM D-Dimer) based on microparticle 1480 enzyme-immunoassay technology by comparing it with three well 1481 established D-dimer assays. 1482 Patients and methods: The performance of the new assay was evaluated in 1483 280 plasma samples that were collected prospectively from out-patients 1484 included in a management study evaluating a decision based algorithm. 1485 Results: 58/280 patients (21%) had PE diagnosed by CT Median values of 1486 AxSYM D-dimer in patients with PE were 3689 ng/mL (range 775-9000). 1487 Comparison analysis displayed excellent agreement with VIDAS 1488 (kappa=0.84) and Asserachrom (kappa=0.81) D-dimer assays. A strong 1489 correlation was found between AxSYM and the VIDAS (r=0.96) and 1490 Asserachrom (r=0.89) D-dimer assays. The highest cut-off value for 1491 AxSYM that yielded a sensitivity of 100% was 765 ng/mL with a 1492 specificity of 50%. At the cut-off level < 500 ng/mL, the sensitivity 1493 and specificity of AxSYM D-dimer were 100% and 34%; VIDAS 100% and 42%; 1494 Asserachrom 100% and 40%; and STALiatest 100% and 37%, respectively. 1495 AxSYM D-dimer was negative in 75 patients (33.8%). None of these had PE 1496 at the initial work-up or VTE during the 3-month follow-up. 1497 Conclusions: AxSYM D-dimer seems to be safe and effective in ruling out 1498 PE in outpatients. The cut-off level can be set at 500 to 750 ng/mL, at 1499 which the assay displays a performance that is comparable to that of 1500 the ELISA based assays. However, further studies are needed to confirm 1501 the safety of the assay and to determine the most optimal cut-off level 1502 in patients with venous thromboembolism. (c) 2006 Published by Elsevier 1503 Ltd. 1504 C1 Ostfold Hosp Trust Fredrikstad, Dept Med, N-1603 Fredrikstad, Norway. 1505 Ullevaal Univ Hosp, Dept Hematol, Oslo, Norway. 1506 Univ Oslo, Med Clin, Fac Div Ulleval Univ Hosp, Oslo, Norway. 1507 RP Ghanima, W, Ostfold Hosp Trust Fredrikstad, Dept Med, N-1603 1508 Fredrikstad, Norway. 1509 EM waleed.ghanima@so-hf.no 1510 CR ALTMAN DG, 1999, PRACTICAL STAT MED R 1511 ANDERSON DR, 2000, CURR OPIN HEMATOL, V7, P296 1512 BARRO C, 1999, CLIN LAB HAEMATOL, V21, P363 1513 BATES SM, 2001, ARCH INTERN MED, V161, P447 1514 CAMPBELL IA, 2003, THORAX, V58, P470 1515 DEMPFLE CE, 2001, THROMB HAEMOSTASIS, V85, P671 1516 DUET M, 1998, THROMB RES, V91, P1 1517 DUNN KL, 2002, J AM COLL CARDIOL, V40, P1475 1518 FREYBURGER GV, 2005, CLIN CHIM ACTA, V354, P181 1519 GAFFNEY PJ, 1988, BRIT J HAEMATOL, V68, P91 1520 GARDINER C, 2005, BRIT J HAEMATOL, V128, P842 1521 GHANIMA W, 2005, J THROMB HAEMOST, V3, P1926 1522 GHANIMA W, 2006, BRIT J HAEMATOL, V132, P210 1523 HYERS TM, 1999, AM J RESP CRIT CARE, V159, P1 1524 LEGAL G, 2006, J THROMB HAEMOST, V4, P724 1525 MOERLOOSE P, 2005, J THROMB HAEMOST, V3, P1361 1526 OGER E, 2000, THROMB HAEMOSTASIS, V83, P657 1527 PERRIER A, 1999, LANCET, V353, P190 1528 PERRIER A, 2004, AM J MED, V116, P291 1529 PERRIER A, 2004, CHEST, V125, P807 1530 PERRIER A, 2005, NEW ENGL J MED, V352, P1760 1531 RIGHINI M, 2004, ARCH INTERN MED, V164, P2483 1532 VANDERGRAAF F, 2000, THROMB HAEMOSTASIS, V83, P191 1533 VERMEER HJ, 2005, THROMB RES, V115, P381 1534 WASER G, 2005, THROMB RES, V116, P165 1535 NR 25 1536 TC 0 1537 PU PERGAMON-ELSEVIER SCIENCE LTD 1538 PI OXFORD 1539 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 1540 SN 0049-3848 1541 J9 THROMB RES 1542 JI Thromb. Res. 1543 PY 2007 1544 VL 120 1545 IS 4 1546 BP 471 1547 EP 476 1548 PG 6 1549 SC Hematology; Peripheral Vascular Disease 1550 GA 206FX 1551 UT ISI:000249170400003 1552 ER 1553 1554 PT J 1555 AU Dempfle, CE 1556 Suvajac, N 1557 Elmas, E 1558 Borggrefe, M 1559 AF Dempfle, Carl-Erik 1560 Suvajac, Nenad 1561 Elmas, Elif 1562 Borggrefe, Martin 1563 TI Performance evaluation of a new rapid quantitative assay system for 1564 measurement of D-dimer in plasma and whole blood: PATHFAST(TM) D-dimer 1565 SO THROMBOSIS RESEARCH 1566 LA English 1567 DT Article 1568 ID DIAGNOSTIC WORK-UP; SUSPECTED PULMONARY-EMBOLISM; DEEP-VEIN THROMBOSIS; 1569 LINEAR-REGRESSION PROCEDURES; CARDIAC D-DIMER; VENOUS THROMBOEMBOLISM; 1570 CLINICAL-ASSESSMENT; MANAGEMENT; EXCLUSION; IMMUNOASSAY 1571 AB D-dimer is an indicator for in vivo fibrin formation, reflecting the 1572 formation of fibrin crosslinked by factor XIIIa. D-dimer assays are 1573 frequently used in emergency situations, such as diagnosis of venous 1574 thrombosis and pulmonary embolism, or disseminated intravascular 1575 coagulation. In these conditions, short sample turnaround times are 1576 essential. The PATHFAST D-dimer assay allows rapid quantitative 1577 measurement of D-dimer in plasma and whole blood. The study shows an 1578 excellent correlation between whole blood and plasma measurement of 1579 D-dimer both in the high range, as well as in the normal range. 1580 Intra-assay and inter-assay coefficients of variation (CV) were below 1581 10%. The upper limit of normal (ULN=mean value measured in 100 samples 1582 from healthy blood donors+2xS.D.) was approximately 1 mu g/ml FEU, 1583 using the assay-specific calibration. The maximal value measured in 20 1584 replicates of calibrator 1 containing no D-dimer antigen was 0.00052 mu 1585 g/ml FEU, and this 10-fold lower than the declared detection limit of 1586 0.005 mu g/ml FEU. In conclusion, the PATHFAST D-dimer assay is the 1587 first automated fully quantitative D-dimer assay, which can use plasma 1588 and whole blood as sample materials in parallel. (c) 2006 Published by 1589 Elsevier Ltd. 1590 C1 Univ Hosp Mannheim, Dept Med 1, D-68167 Mannheim, Germany. 1591 RP Dempfle, CE, Univ Hosp Mannheim, Dept Med 1, Theodor Kutzer Ufer 1-3, 1592 D-68167 Mannheim, Germany. 1593 EM cart-erik.dempfle@med.ma.uni-heidelberg.de 1594 CR BUCEK RA, 2001, THROMB RES, V103, P17 1595 DEGROOT MR, 1999, THROMB HAEMOSTASIS, V82, P1588 1596 DEMPFLE CE, 2001, CLIN CHIM ACTA, V307, P211 1597 DEMPFLE CE, 2001, THROMB HAEMOSTASIS, V85, P671 1598 DEMPFLE CE, 2005, SEMIN VASC MED, V5, P315 1599 DEMPFLE CE, 2006, THROMB HAEMOSTASIS, V96, P79 1600 ESCOFFREBARBE M, 1998, AM J CLIN PATHOL, V109, P748 1601 GAFFNEY PJ, 1975, CLIN CHIM ACTA, V65, P109 1602 HART DJ, 2002, CLIN LAB HAEMATOL, V24, P171 1603 HOUBOUYANREVEILLARD LL, 2000, THROMB HAEMOSTASIS, V84, P770 1604 KARIO K, 1992, THROMB RES, V66, P179 1605 KEELING DM, 1999, CLIN LAB HAEMATOL, V21, P359 1606 KRUIP MJHA, 2002, ARCH INTERN MED, V162, P1631 1607 LECLERCQ MGL, 2003, THROMB HAEMOSTASIS, V89, P97 1608 LEGNANI C, 2003, THROMB RES, V111, P149 1609 LINNET K, 1999, CLIN CHEM 1, V45, P882 1610 PASSING H, 1983, J CLIN CHEM CLIN BIO, V21, P709 1611 PASSING H, 1984, J CLIN CHEM CLIN BIO, V22, P431 1612 PERRIER A, 2004, AM J MED, V116, P291 1613 PITTET JL, 1996, CLIN CHEM, V42, P410 1614 REBER G, 2001, BLOOD COAGUL FIBRIN, V12, P217 1615 REBER G, 2002, THROMB RES, V107, P197 1616 REBER G, 2004, BLOOD COAGUL FIBRIN, V15, P435 1617 TENWOLDE M, 2004, J THROMB HAEMOST, V2, P1110 1618 WILSON DB, 2003, AM J CLIN PATHOL, V120, P930 1619 NR 25 1620 TC 0 1621 PU PERGAMON-ELSEVIER SCIENCE LTD 1622 PI OXFORD 1623 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 1624 SN 0049-3848 1625 J9 THROMB RES 1626 JI Thromb. Res. 1627 PY 2007 1628 VL 120 1629 IS 4 1630 BP 591 1631 EP 596 1632 PG 6 1633 SC Hematology; Peripheral Vascular Disease 1634 GA 206FX 1635 UT ISI:000249170400019 1636 ER 1637 1638 PT J 1639 AU Mercado, E 1640 Alman, B 1641 Wright, JG 1642 AF Mercado, Eyal 1643 Alman, Benjamin 1644 Wright, James G. 1645 TI Does spinal fusion influence quality of life in neuromuscular scoliosis? 1646 SO SPINE 1647 LA English 1648 DT Article 1649 DE quality of life; spinal fusion; neuromuscular scoliosis; spina bifida; 1650 cerebral palsy; duchene muscular dystrophy 1651 ID DUCHENNE MUSCULAR-DYSTROPHY; SEVERE CEREBRAL-PALSY; POSTERIOR 1652 INSTRUMENTATION; SURGICAL-MANAGEMENT; PHYSICAL-DISABILITY; UNIT ROD; 1653 CHILDREN; SURGERY; BIFIDA; MYELOMENINGOCELE 1654 AB Study Design. Systematic literature review of articles pertaining to 1655 quality of life (QOL) in neuromuscular scoliosis patients that 1656 underwent spinal fusion. 1657 Objective. To determine if QOL is improved by scoliosis surgery in 1658 neuromuscular patients. 1659 Summary of Background Data. The primary focus of most prior on 1660 neuromuscular scoliosis has been on the technical correction of spinal 1661 deformities, and not the child's postoperative performance and function 1662 in activities of daily living. 1663 Methods. Computer-based English literature search of Google and PubMed 1664 databases. 1665 Results. A total of 198 publications in the English literature between 1666 1980 and 2006 were identified from a PubMed and Google Scholar search 1667 of QOL in neuromuscular scoliosis patients that underwent spinal fusion. 1668 Conclusion. Spinal fusion improves QOL in CP (Grade C recommendation). 1669 Spinal fusion QOL in muscular dystrophy (Grade C recommendation). 1670 Spinal fusion does not improve QOL in spina bifida (Grade C 1671 recommendation). 1672 C1 Hosp Sick Children, Div Orthopaed Surg, Toronto, ON M5A 1X8, Canada. 1673 RP Wright, JG, Hosp Sick Children, Div Orthopaed Surg, 555 Univ Ave, 1674 Toronto, ON M5A 1X8, Canada. 1675 EM james.wright@sickkids.ca 1676 CR APRIN H, 1982, J BONE JOINT SURG AM, V64, P1179 1677 ASKIN GN, 1997, SPINE, V22, P44 1678 BANTA JV, 1999, INSTR COURSE LECT, V48, P551 1679 BOWLING A, 1995, SOC SCI MED, V41, P1447 1680 BRIDWELL KH, 1999, SPINE, V24, P1300 1681 CASSIDY C, 1994, J PEDIATR ORTHOPED, V14, P731 1682 CELLA DF, 1990, ONCOLOGY WILLISTON P, V4, P39 1683 CELLA DF, 1990, ONCOLOGY, V4, P29 1684 CLIMENT JM, 1995, SPINE, V20, P2006 1685 DALTROY LH, 1998, J PEDIATR ORTHOPED, V18, P561 1686 DIAS RC, 1996, J PEDIATR ORTHOPED, V16, P734 1687 DRUMMOND DS, 1980, J BONE JOINT SURG BR, V62, P49 1688 FELDMAN AB, 1990, PHYS THER, V70, P602 1689 FURUMASU J, 1989, SPINE, V14, P771 1690 GALASKO CS, 1995, EUR SPINE J, V4, P263 1691 GALASKO CSB, 1992, J BONE JOINT SURG BR, V74, P210 1692 GOLDBERG MJ, 1991, J PEDIATR ORTHOPED, V11, P682 1693 GRANATA C, 1996, NEUROMUSCULAR DISORD, V6, P61 1694 HALEY SM, 1992, PEDIAT EVALUATION DI 1695 JONES KB, 2003, J PEDIATR ORTHOPED, V23, P143 1696 KALEN V, 1992, J PEDIATR ORTHOPED, V12, P337 1697 LARSSON ELC, 2005, SPINE, V30, P2145 1698 LIPTON GE, 1999, J SPINAL DISORD, V12, P197 1699 MAZUR J, 1986, J PEDIATR ORTHOPED, V6, P568 1700 MCCARTHY RE, 1999, ORTHOP CLIN N AM, V30, P435 1701 MCMASTER MJ, 1987, J BONE JOINT SURG BR, V69, P20 1702 MUBARAK SJ, 1993, J PEDIATR ORTHOPED, V13, P752 1703 MULLER EB, 1992, ACTA PAEDIATR, V81, P173 1704 NARAYANAN UG, 2006, DEV MED CHILD NEUROL, V48, P804 1705 ORLEY KW, QUALITY LIFE ASSESSM, P41 1706 OSEBOLD WR, 2000, SPINE, V25, P1344 1707 PARKIN PC, 1997, QUAL LIFE RES, V6, P123 1708 RAMIREZ N, 1997, J PEDIATR ORTHOPED, V17, P109 1709 RODGERS WB, 1997, CLIN ORTHOP RELA MAY, P19 1710 SCHOENMAKERS MAGC, 2005, EUR SPINE J, V14, P415 1711 SUSSMAN MD, 1996, J PEDIATR ORTHOPED, V16, P304 1712 TELI M, 2005, J SPINAL DISORD TECH, V18, P430 1713 TELI MGA, 2006, SPINE, V31, E441 1714 TSIRIKOS AI, 2003, SPINE, V28, P480 1715 TSIRIKOS AI, 2004, J PEDIATR ORTHOPED, V24, P54 1716 VITALE MG, 2001, J PEDIATR ORTHOPED, V21, P629 1717 WAI EK, 2000, J PEDIATR ORTHOPED, V20, P765 1718 WAI EK, 2005, J PEDIATR ORTHOPED, V25, P64 1719 WHITAKER C, 2000, SPINE, V25, P2312 1720 WRIGHT JG, 2005, J BONE JOINT SURG A, V87, P1909 1721 YOUNG NL, 1995, ARCH PHYS MED REHAB, V76, P913 1722 YOUNG NL, 2000, J CLIN EPIDEMIOL, V53, P125 1723 NR 47 1724 TC 0 1725 PU LIPPINCOTT WILLIAMS & WILKINS 1726 PI PHILADELPHIA 1727 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 1728 SN 0362-2436 1729 J9 SPINE 1730 JI SPINE 1731 PD SEP 1 1732 PY 2007 1733 VL 32 1734 IS 19 1735 SU Suppl. S 1736 BP S120 1737 EP S125 1738 PG 6 1739 SC Clinical Neurology; Orthopedics 1740 GA 209OI 1741 UT ISI:000249397500010 1742 ER 1743 1744 PT J 1745 AU Minhas, PS 1746 Dubey, SK 1747 Sharma, DR 1748 AF Minhas, P. S. 1749 Dubey, S. K. 1750 Sharma, D. R. 1751 TI Effects on soil and paddy-wheat crops irrigated with waters containing 1752 residual alkalinity 1753 SO SOIL USE AND MANAGEMENT 1754 LA English 1755 DT Article 1756 DE irrigation water quality; monsoon climate; paddy-wheat system; residual 1757 alkalinity; saline soils; sodic soils 1758 ID SODIC IRRIGATIONS; YIELDS; SALINITY; INDIA; MANAGEMENT; ROTATION; 1759 BUILDUP; GYPSUM; SAR 1760 AB Degradation of soils by irrigation with ground waters containing 1761 residual alkalinity poses a major threat to agriculture in semi-arid 1762 regions, particularly in South Asia. However, there is a lack of 1763 indices to define the soil degradation and crop performance under a 1764 monsoon climate. Therefore, an experiment was conducted during 1765 2000-2004 to determine the responses of paddy rice and wheat crops in 1766 rotation to irrigation with alkaline waters (AW) having similar 1767 salinity (electrolyte concentration 30 me L-1) but varying ionic 1768 constituents (sodium adsorption ratio irrigation water, SARiw 10 and 1769 25; adjusted sodium adsorption ratio, adj.R-Na 13.6 and 29.2; residual 1770 sodium carbonate, RSC 5 and 10 me L-1 and Cl:SO4 4:1 and 1:4, 1771 respectively). The concentration factors, ECe/ECiw (ratio of electrical 1772 conductivity of soil's saturation paste extract to that of the 1773 irrigation water) were between 1.1 and 1.8 for soils deprived of 1774 rainfall, whereas it was almost 1 for soils not sheltered from rain. 1775 Similarly, saturation paste extract, SARe, was between 1.6 and 2.0 1776 times SARiw and 2.0-2.3 times SARiw with and without rainfall, and the 1777 exchangeable sodium per cent (ESP) 1.0-1.8 times SARiw. Yields of paddy 1778 relative to yields of crops irrigated with good-quality water, averaged 1779 56-74% during the period 2000-2004 compared with 81-88% for wheat, 1780 indicating the greater sensitivity of rice to irrigation with AW. 1781 Elevated levels of sulphate rather than chloride in the irrigation 1782 water lessened the impacts of the residual alkalinity. Production 1783 functions showed that the sodicity (ESP) did not solely explain the 1784 variation in crop yields because the salinity stress simultaneously 1785 inhibited growth. None of the sodicity indices (RSC, SAR and adj.R-Na) 1786 adequately defined the relative impacts of AW, although residual 1787 alkalinity (RSC) was a better indicator than either of the other two. 1788 The monsoon rains played an important role in alleviating the effects 1789 of residual alkalinity. Data presented here should support the 1790 development of more reliable criteria for the assessment of 1791 sodicity/salinity hazards from AW in semi-arid regions. 1792 C1 Cent Soil Salin Res Inst, Karnal 132 001, Haryana, India. 1793 RP Minhas, PS, Indian Council Agr Res, New Delhi 110012, India. 1794 EM psminhas@icar.org.in 1795 CR *USSL, 1954, USDA HDB, V60 1796 AYERS RS, 1985, 29 FAO 1797 BAJWA MS, 1983, IRRIGATION SCI, V4, P91 1798 BAJWA MS, 1986, IRRIGATION SCI, V7, P27 1799 BAJWA MS, 1989, AGR WATER MANAGE, V16, P227 1800 BAJWA MS, 1989, AGR WATER MANAGE, V16, P53 1801 BAJWA MS, 1989, EXPT AGR, V25, P199 1802 BAJWA MS, 1992, AGR WATER MANAGE, V22, P345 1803 BAJWA MS, 1993, IRRIGATION SCI, V14, P21 1804 BOWER CA, 1968, SOIL SCI, V106, P29 1805 CHAUHAN CPS, 1991, AGR WATER MANAGE, V20, P223 1806 EATON FM, 1950, SOIL SCI, V69, P123 1807 GUPTA RK, 1990, ADV SOIL SCI, V11, P223 1808 GUPTA SK, 1990, IRRIGATION SCI, V11, P173 1809 MANCHANDA HR, 1982, J INDIAN SOC SOIL SC, V30, P353 1810 MANCHANDA HR, 1985, J INDIAN SOC SOIL SC, V33, P366 1811 MANCHANDA HR, 1991, INDIAN J AGR SCI, V61, P20 1812 MANCHNADA HR, 1993, TOWARDS RATIONAL USE, V2, P433 1813 MINHAS PS, 1992, QUALITY IRRIGATION W 1814 MINHAS PS, 1996, AGR WATER MANAGE, V30, P1 1815 MINHAS PS, 2001, J CROP PROD, V4, P273 1816 MINHAS PS, 2003, ADV SODIC LAND RECLA, P122 1817 MINHAS PS, 2003, B CTR SOIL SALINITY, V2 1818 MINHAS PS, 2004, P INT C SUST MAN SOD, P26 1819 MINHAS PS, 2006, J INDIAN SOC SOIL SC, V54, P331 1820 QADIR M, 2004, SCI TOTAL ENVIRON, V323, P1 1821 RHOADES JD, 1968, SOIL SCI SOC AM J, V32, P652 1822 SHARMA DR, 1981, J INDIAN SOC SOIL SC, V29, P270 1823 SHARMA DR, 1993, SUSTAINABLE IRRIGATI, P110 1824 SINGH B, 1977, INDIAN J ECOL, V4, P32 1825 SINGH RB, 1992, AGR WATER MANAGE, V21, P93 1826 SINGH RB, 1994, J INDIAN SOC SOIL SC, V42, P436 1827 SMITH GR, 1995, SOIL SCI AM SPECIAL, V42, P113 1828 SUAREZ DL, 1981, SOIL SCI SOC AM J, V45, P469 1829 TYAGI NK, 2000, B CTR SOIL SALINITY 1830 NR 35 1831 TC 0 1832 PU BLACKWELL PUBLISHING 1833 PI OXFORD 1834 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 1835 SN 0266-0032 1836 J9 SOIL USE MANAGE 1837 JI Soil Use Manage. 1838 PD SEP 1839 PY 2007 1840 VL 23 1841 IS 3 1842 BP 254 1843 EP 261 1844 PG 8 1845 SC Soil Science 1846 GA 209XD 1847 UT ISI:000249420400005 1848 ER 1849 1850 PT J 1851 AU Khoury, V 1852 Harris, PG 1853 Cardinal, E 1854 AF Khoury, Viviane 1855 Harris, Patrick G. 1856 Cardinal, Etienne 1857 TI Cross-sectional imaging of internal derangement of the wrist with 1858 arthroscopic correlation 1859 SO SEMINARS IN MUSCULOSKELETAL RADIOLOGY 1860 LA English 1861 DT Article 1862 DE magnetic resonance imaging; wrist arthroscopy; wrist ligaments; 1863 triangular fibrocartilage complex; wrist magnetic resonance 1864 arthrography; wrist computed tomography arthrography 1865 ID TRIANGULAR FIBROCARTILAGE COMPLEX; SCAPHOLUNATE INTEROSSEOUS LIGAMENT; 1866 DISTAL RADIOULNAR JOINT; CONTRALATERAL ASYMPTOMATIC WRISTS; DIRECT MR 1867 ARTHROGRAPHY; INTERCARPAL LIGAMENT; CARPAL INSTABILITY; PERIPHERAL 1868 TEARS; ANATOMY; INJURIES 1869 AB Wrist arthroscopy has become an indispensable tool for the surgeon 1870 treating internal derangement of the wrist. The role of arthroscopy in 1871 both the diagnosis and treatment of intrinsic ligaments and triangular 1872 fibrocartilage complex (TFCC) pathology is well established. 1873 Arthroscopy remains a surgical procedure with potential complications, 1874 and it does not obviate the need for a careful history, physical 1875 examination, and conventional radiography. When the diagnosis remains 1876 unclear after these initial investigations, cross-sectional imaging 1877 studies play a valuable role in the assessment of internal derangement 1878 of the wrist. These studies include magnetic resonance imaging (MRI), 1879 magnetic resonance arthrography (MRA), and computed tomography 1880 arthrography (CTA), the choice of which depends on the specific 1881 clinical query. The radiologist must have exact knowledge of the 1882 performance of each diagnostic test to select the appropriate one and 1883 interpret it in a clinically relevant manner. With continued 1884 refinements in the technological aspects of cross-sectional imaging, 1885 its potential to replace diagnostic arthroscopy will surely be realized 1886 in the near future. This article focuses on the role of cross-sectional 1887 imaging and arthroscopy in the evaluation and management of wrist 1888 internal derangement, namely of intrinsic ligaments and TFCC pathology. 1889 C1 Univ Montreal, Ctr Hosp, Hop Notre Dame, Dept Radiol, Montreal, PQ H2L 4M1, Canada. 1890 Univ Montreal, Ctr Hosp, Hop Notre Dame, Dept Surg,Div Plast Surg, Montreal, PQ H2L 4M1, Canada. 1891 Univ Montreal, Ctr Hosp, Hop St Luc, Dept Radiol, Montreal, PQ H2L 4M1, Canada. 1892 RP Khoury, V, Univ Montreal, Ctr Hosp, Hop Notre Dame, Dept Radiol, 1560 1893 Sherbrooke St E, Montreal, PQ H2L 4M1, Canada. 1894 CR ABE Y, 2003, J HAND SURG-AM A, V28, P69 1895 BENJAMIN M, 1990, J ANAT, V172, P59 1896 BEREDJIKLIAN PK, 2004, J HAND SURG-AM A, V29, P406 1897 BERGER RA, 1996, J HAND SURG-AM A, V21, P170 1898 BERGER RA, 1999, J HAND SURG-AM A, V24, P953 1899 BERGER RA, 2001, CLIN ORTHOP RELA FEB, P32 1900 BLACKWELL RE, 2001, J HAND SURG-AM A, V26, P77 1901 BRAUN H, 2003, ROFO-FORTSCHR RONTG, V175, P1515 1902 CHEN YC, 1979, ORTHOP CLIN N AM, V10, P723 1903 COBER SR, 2001, ORTHOP CLIN N AM, V32, P279 1904 COONEY WP, 1993, J HAND SURG, V18, P815 1905 CORSO SJ, 1997, ARTHROSCOPY, V13, P78 1906 CULP RW, 1999, HAND CLIN, V15, P529 1907 DARLIS NA, 2005, J HAND SURG-AM A, V30, P908 1908 DELPINAL F, 1999, J HAND SURG-AM A, V24, P240 1909 DESMET L, 2002, ACTA ORTHOP BELG, V68, P325 1910 ELKOWITZ SJ, 2006, B HOSP JOINT DIS, V64, P156 1911 GEISSLER WB, 1996, CLIN ORTHOP RELA JUN, P125 1912 GEISSLER WB, 2000, INSTR COURSE LECT, V49, P225 1913 GELBERMAN RH, 2001, INSTR COURSE LECT, V50, P1232 1914 GILULA LA, 1978, RADIOLOGY, V129, P641 1915 GILULA LA, 1979, AM J ROENTGENOL, V133, P503 1916 GILULA LA, 1983, RADIOLOGY, V146, P555 1917 GRECHENIG W, 1999, CLIN ANAT, V12, P179 1918 HAIMS AH, 2002, AM J ROENTGENOL, V178, P419 1919 HARDY P, 2006, KNEE SURG SPORT TR A, V14, P1225 1920 HERMANSDORFER JD, 1991, J HAND SURG-AM, V16, P340 1921 HIRSH L, 2005, J HAND SURG-BRIT E B, V30, P643 1922 HOBBY JL, 2001, CLIN RADIOL, V56, P50 1923 HORII E, 1991, J HAND SURG A, V16, P355 1924 KIHARA H, 1995, J HAND SURG A, V20, P930 1925 KLEIN HM, 2002, ROFO-FORTSCHR RONTG, V174, P177 1926 KLEINMAN WB, 1987, HAND CLIN, V3, P113 1927 KOH S, 2003, ARTHROSCOPY, V19, P820 1928 KUO R, 2007, J MAGN RESON IMAGING, V25, P245 1929 LEE DH, 2004, J HAND SURG-AM A, V29, P676 1930 LEVINSOHN EM, 1987, SKELETAL RADIOL, V16, P539 1931 LINKOUS MD, 1998, RADIOL CLIN N AM, V36, P651 1932 LINKOUS MD, 2000, RADIOLOGY, V216, P846 1933 LINN MR, 1990, ORTHOP CLIN N AM, V21, P515 1934 LINSCHEID RL, 2002, J BONE JOINT SURG A, V84, P142 1935 MACHIELS F, 2001, JBR BTR ORGANE SOC R, V84, P114 1936 MANASTER BJ, 1986, AM J ROENTGENOL, V147, P563 1937 MANASTER BJ, 1989, J HAND SURG A, V14, P466 1938 MAYFIELD JK, 1980, CLIN ORTHOP RELAT R, P45 1939 MAYFIELD JK, 1984, ORTHOP CLIN N AM, V15, P209 1940 MEIER R, 2005, HANDCHIR MIKROCHIR P, V37, P85 1941 METZ VM, 1993, AM J ROENTGENOL, V160, P1239 1942 METZ VM, 1997, EUR J RADIOL, V25, P104 1943 MITSUYASU H, 2004, J HAND SURG-AM A, V29, P279 1944 MOSER T, 2007, AM J ROENTGENOL, V188, P1278 1945 ONESON SR, 1997, AM J ROENTGENOL, V168, P1513 1946 PALMER AK, 1981, J HAND SURG, V6, P153 1947 PALMER AK, 1987, HAND CLIN, V3, P31 1948 PALMER AK, 1989, J HAND SURG A, V14, P594 1949 RUEGGER C, 2007, AM J ROENTGENOL, V188, P187 1950 SAUPE N, 2005, RADIOLOGY, V234, P256 1951 SCHECK RJ, 1999, JMRI-J MAGN RESON IM, V9, P468 1952 SCHMID MR, 2005, RADIOLOGY, V237, P1008 1953 SCHMITT R, 2003, ROFO-FORTSCHR RONTG, V175, P911 1954 SCHMITT R, 2006, RADIOLOGE, V46, P638 1955 SCHWEITZER ME, 1992, RADIOLOGY, V182, P205 1956 SHIH JT, 2005, ARTHROSCOPY, V21, P620 1957 SHORT WH, 2002, J HAND SURG-AM A, V27, P991 1958 SMITH DK, 1995, MRI CLIN N AM, V3, P229 1959 SOKOLOW C, 2001, HAND CLIN, V17, P77 1960 TALEISNIK J, 1976, J HAND SURG, V1, P110 1961 TALEISNIK J, 1988, J BONE JOINT SURG AM, V70, P1262 1962 THEUMANN N, 2001, SKELETAL RADIOL, V30, P88 1963 TIRMAN RM, 1985, AM J ROENTGENOL, V144, P107 1964 TOMAINO MM, 2001, J HAND SURG-AM A, V26, P1047 1965 TOTTERMAN SMS, 1993, AM J ROENTGENOL, V160, P117 1966 TOTTERMAN SMS, 1996, RADIOLOGY, V199, P227 1967 TRUONG NP, 1994, RADIOLOGY, V192, P481 1968 VIEGAS SF, 1987, J HAND SURG-AM, V12, P1025 1969 WATSON HK, 1984, J HAND SURG A, V9, P358 1970 WEISS APC, 1996, J BONE JOINT SURG A, V78, P348 1971 WEISS APC, 1997, J HAND SURG-AM A, V22, P344 1972 WESTKAEMPER JG, 1998, ARTHROSCOPY, V14, P479 1973 WYRICK JD, 1998, J HAND SURG-BRIT E B, V23, P776 1974 YIN YM, 1996, AM J ROENTGENOL, V166, P1067 1975 ZANETTI M, 2000, RADIOLOGY, V216, P840 1976 ZEITOUN F, 1995, ANN RADIOL PARIS, V38, P255 1977 ZEITOUN F, 1997, ANN RADIOL, V40, P78 1978 ZEITOUN F, 2001, J RADIOL, V82, P335 1979 ZLATKIN MB, 1989, RADIOLOGY, V173, P723 1980 NR 86 1981 TC 0 1982 PU THIEME MEDICAL PUBL INC 1983 PI NEW YORK 1984 PA 333 SEVENTH AVE, NEW YORK, NY 10001 USA 1985 SN 1089-7860 1986 J9 SEMIN MUSCULOSKELET RADIOL 1987 JI Semin. Musculoskelet. Radiol. 1988 PD MAR 1989 PY 2007 1990 VL 11 1991 IS 1 1992 BP 36 1993 EP 47 1994 PG 12 1995 SC Radiology, Nuclear Medicine & Medical Imaging 1996 GA 195OS 1997 UT ISI:000248422100005 1998 ER 1999 2000 PT J 2001 AU Je, CH 2002 Stone, R 2003 Oberg, SG 2004 AF Je, Chung-hwan 2005 Stone, Richard 2006 Oberg, Steven G. 2007 TI Development and application of a multi-channel monitoring system for 2008 near real-time VOC measurement in a hazardous waste management facility 2009 SO SCIENCE OF THE TOTAL ENVIRONMENT 2010 LA English 2011 DT Article 2012 DE chemical bulking; multi-channel data logger system; PID sensor; 2013 volatile organic compounds; walk-in hood 2014 ID GAS 2015 AB This paper describes the development and application of a multi-channel 2016 monitoring system for recording, processing, and analyzing volatile 2017 organic compound (VOC) levels discharged to the atmosphere from a 2018 walk-in hood in a hazardous waste management facility. The monitoring 2019 system consists of an array of PID (photo ionization detector) sensors 2020 and a networked control program that provides operational schematic 2021 diagram, performs data analyses, and illustrates real-time graphical 2022 displays. Furthermore, the system records potential worker exposures, 2023 exhaust filtration efficiency and environmental release levels. 2024 Multi-channel continuous monitoring of VOCs is successfully implemented 2025 during chemical bulking operations. It is shown that a real-time 2026 monitoring system is effective for early warning detection of hazardous 2027 chemicals and for predicting the performance of adsorption filters used 2028 for VOC removal. In addition, a connected local weather visualization 2029 system supports efforts to minimize potential health and environmental 2030 impacts of VOC emissions to surrounding areas. (c) 2007 Elsevier B.V. 2031 All rights reserved. 2032 C1 Univ Nevada, Dept Environm Hlth & Safety, Reno, NV 89557 USA. 2033 RP Je, CH, Univ Nevada, Dept Environm Hlth & Safety, Reno, NV 89557 USA. 2034 EM cje@unr.edu 2035 CR *ACGIH, 1995, IND VENT MAN REC PRA 2036 *NAT INSTR INC, 2004, LABV MEAS MAN 2037 *NIOSH, 1997, POCK GUID CHEM HAZ 2038 *RAE SYST INC, 2005, OP MAINT MAN PORT VO 2039 *US EPA, 1999, FIN REP C BEN COSTS 2040 ASHLEY K, 2003, J HAZARD MATER, V102, P1 2041 AUSTIN A, 2002, CHEM ENG-NEW YORK, V109, P75 2042 BALLESTEROS J, 2004, REV SCI INSTRUM, V75, P90 2043 BOGUE R, 2001, SENSOR REV, V21, P98 2044 CHOW J, 2000, HAZARDOUS GAS MONITO 2045 HO CK, 2001, SAND20010643 SAND NA 2046 KARELLAS NS, 2003, J HAZARD MATER, V102, P105 2047 KLEIN R, 2004, CHEM HEAT SAF, V11, P23 2048 LOEWENSTEIN EB, 2000, REDUCING EFFECTS NOI 2049 MILLAR D, 1987, NIOSH CURR INTELL B, V48, P1 2050 OVERTON EB, 1995, J HAZARD MATER, V43, P77 2051 SCHRAFF FR, 1996, SENSORS MAGAZINE APR 2052 SKLENAROVA H, 2002, INSTRUM SCI TECHNOL, V3, P353 2053 STEWART G, 2003, MANAG ENV QUAL, V14, P181 2054 STOCKSTAD E, 2004, SCIENCE, V306, P1665 2055 WILLIAM S, 2005, FUZZY EXPERT SYSTEMS 2056 XU F, 2003, CHEM HLTH SAFE, V10, P23 2057 NR 22 2058 TC 0 2059 PU ELSEVIER SCIENCE BV 2060 PI AMSTERDAM 2061 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 2062 SN 0048-9697 2063 J9 SCI TOTAL ENVIR 2064 JI Sci. Total Environ. 2065 PD SEP 1 2066 PY 2007 2067 VL 382 2068 IS 2-3 2069 BP 364 2070 EP 374 2071 PG 11 2072 SC Environmental Sciences 2073 GA 195OO 2074 UT ISI:000248421700018 2075 ER 2076 2077 PT J 2078 AU Barbosa, FF 2079 Ferreira, AS 2080 Gattas, G 2081 Silva, FCD 2082 Donzele, JL 2083 Brustolini, PC 2084 Lopes, DC 2085 AF Barbosa, Fellipe Freitas 2086 Ferreira, Aloizio Soares 2087 Gattas, Gustavo 2088 de Oliveira Silva, Francisco Carlos 2089 Donzele, Juarez Lopes 2090 Brustolini, Paulo Cesar 2091 Lopes, Darci Clementine 2092 TI Spray dry blood plasma levels in diets for piglets weaned at 21 days of 2093 age 2094 SO REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE 2095 LA Portuguese 2096 DT Article 2097 DE alternative feedstuff; feeding management; post weaning; initial phase 2098 ID DRIED PORCINE PLASMA; GROWTH-PERFORMANCE; ANIMAL PLASMA; 2099 ESCHERICHIA-COLI; WEANLING PIGS; MEAL; PRODUCT 2100 AB With the objective to evaluate the inclusion of spray dry blood plasma 2101 in diets for piglets weaned at 21 days of age (5.9 +/- 0.40 kg initial 2102 BW), a total of 112 animals were allotted to completely randomize block 2103 design with four treatment and seven replications with four animals per 2104 experimental unit, in three subsequent periods: from 21 to 28 days 2105 (period 1), from 29 to 35days (period 2), from 36 to 42 days (period 2106 3). The piglets were maintained in the experiment from 43 to 56 days 2107 (period 4) fed conventional nurse diet. The treatments consisted of 2108 inclusion levels of 0.0, 4.0, 6.0, and 8.0% of spray dry blood plasma 2109 in the period 1, 0.0; 2.8; 4.2 and 5.6% in the period 2 and 0.0; 2.0; 2110 3.0 and 4.0% in the period 3. The average daily weight gain (ADWG) 2111 increased in a quadratic form up to the estimate inclusion levels of 2112 4.3, 2.5 and 1.3 of spray dry blood plasma in the diet, in the periods 2113 1, 2 and 3, respectively. No significant effect was observed for the 2114 inclusion levels of spray dry blood plasma on daily feed intake and 2115 ADWG in the period 4. The inclusion levels of spray dry blood plasma in 2116 diets for pigs weaned at 21 days of age should be 4.3 for the first 2117 week, 2.5 for the second and 1.3% for the third week post weaning. 2118 C1 Univ Fed Vicosa, Dept Zootecnia, BR-36571000 Vicosa, MG, Brazil. 2119 CTZM, EPAMIG, BR-36571000 Vicosa, MG, Brazil. 2120 EM alosofe@ufv.br 2121 CR *NRC, 1998, NUTR REQ SWIN 2122 *UFV, 1997, MAN UT PROGR SAEG SI 2123 ANGULO E, 1998, ANIM FEED SCI TECH, V72, P71 2124 BUTOLO EAF, 1999, REV BRAS ZOOTECN, V28, P326 2125 CHAE BJ, 1999, LIVEST PROD SCI, V58, P45 2126 COFFEY RD, 1995, J ANIM SCI, V73, P2532 2127 DEPREZ P, 1996, INT PIGS VET SOC C B, P276 2128 DRITZ SS, 1993, SWINE DAY 2129 ERMER PM, 1992, J ANIM SCI S1, V70, P60 2130 ERMER PM, 1994, J ANIM SCI, V72, P1548 2131 FERREIRA VPD, 2001, REV BRAS ZOOTECN, V30, P753 2132 GATNAU R, 1991, J ANIM SCI S1, V69, P103 2133 GATNAU R, 1991, J ANIM SCI S1, V69, P369 2134 GATNAU R, 1993, PIG NEWS INFORMATION, V14, P157 2135 GOODBAND RD, 1995, SASK PORK IND S SASK, P15 2136 GRINSTEAD GS, 2000, J ANIM SCI, V78, P647 2137 HANSEN JA, 1993, J ANIM SCI, V71, P1853 2138 HARRELL RJ, 2000, FASEB J, V14, P728 2139 KATS LJ, 1994, J ANIM SCI, V72, P2075 2140 KATS LJ, 1994, J ANIM SCI, V72, P2860 2141 KATS LJ, 2001, IOWA STATE U SWINE R, P28 2142 LAWRENCE KR, 2004, J ANIM SCI, V82, P3635 2143 MASCARENAS JL, 1999, ADV CYCLOAD, V6, P1 2144 NOFRARIAS M, 2006, J ANIM SCI, V84, P2735 2145 NOLLET H, 1999, VET MICROBIOL, V65, P37 2146 OLIVEIRA PAV, 1993, 31 EMBRAPA CNPSA 2147 OWEN KQ, 1993, J ANIMAL SCI S1, V71, P58 2148 OWUSUASIEDU A, 2002, J ANIM SCI, V80, P2895 2149 PIERCE JL, 2005, J ANIM SCI, V83, P2876 2150 ROSTAGNO HS, 2000, COMPOSICAO ALIMENTOS 2151 RUSSEL LE, 1996, AM ASS SWINE PRACTIT, P37 2152 SHURSON J, 1995, MANITOBA SWINE SEMIN, V9, P21 2153 STEIN HH, 1996, S LAT AM NUTR SUIN A, P70 2154 STHALY T, 1996, AVANCES NUTR ALIMENT 2155 TEIXEIRA AD, 2003, REV BRAS ZOOTECN, V32, P926 2156 TORRALLARDONA D, 2003, J ANIM SCI, V81, P1220 2157 TOUCHETTE KJ, 1996, J ANIM SCI S1, V74, P170 2158 TOUCHETTE KJ, 2002, J ANIM SCI, V80, P494 2159 NR 38 2160 TC 0 2161 PU REVISTA BRASILEIRA ZOOTECNIA BRAZILIAN JOURNAL ANIMAL SCI 2162 PI VICOSA-MG 2163 PA UNIVERSIDADE FEDERAL VICOSA,, 36571-000 VICOSA-MG, BRAZIL 2164 SN 1516-3598 2165 J9 REV BRAS ZOOTECN 2166 JI Rev. Bras. Zootecn. 2167 PD JUL-AUG 2168 PY 2007 2169 VL 36 2170 IS 4 2171 SU Suppl. S 2172 BP 1052 2173 EP 1060 2174 PG 9 2175 SC Agriculture, Dairy & Animal Science; Veterinary Sciences 2176 GA 205FV 2177 UT ISI:000249100300010 2178 ER 2179 2180 PT J 2181 AU Dobson, H 2182 Smith, RF 2183 Royal, MD 2184 Knight, CH 2185 Sheldon, IM 2186 AF Dobson, H. 2187 Smith, R. F. 2188 Royal, M. D. 2189 Knight, C. H. 2190 Sheldon, I. M. 2191 TI The high-producing dairy cow and its reproductive performance 2192 SO REPRODUCTION IN DOMESTIC ANIMALS 2193 LA English 2194 DT Article 2195 ID MILK-PRODUCTION; GENETIC SELECTION; OVARIAN-FUNCTION; BODY CONDITION; 2196 FERTILITY; CATTLE; LACTATION; LAMENESS; STRESS; PERSISTENCY 2197 AB There is evidence that the reproductive performance of dairy cows has 2198 declined as milk yields have increased over the last 40 years. 2199 Identifying the precise cause(s) of this problem may provide focused 2200 solutions. Intensive genetic selection for very high yields has reduced 2201 fertility, due mainly to an increase in postpartum clinical problems, 2202 poor expression of oestrus, defective oocytes/embryos and uterine 2203 infections. It is a challenge to solve the problem by getting enough 2204 food into these cows to meet the high demands of peak milk yields in 2205 early lactation, as well as providing the considerable veterinary 2206 attention required in the early period after calving. Both these 2207 aspects also pose welfare issues. A better solution would be to make 2208 genetic and management changes to increase the persistency of 2209 lactations to reduce the number and intensity of clinical risk periods 2210 throughout a cow's life without compromising milk output. 2211 C1 Univ Liverpool, Fac Vet Sci, Neston CH64 7TE, Wirral, England. 2212 Univ Glasgow, Sch Vet, Inst Comparat Med, Glasgow, Lanark, Scotland. 2213 Univ London Royal Vet Coll, London, England. 2214 RP Dobson, H, Univ Liverpool, Fac Vet Sci, Neston CH64 7TE, Wirral, 2215 England. 2216 EM h.dobson@liverpool.ac.uk 2217 CR ALKATANANI YM, 1999, J DAIRY SCI, V82, P2611 2218 ARBEL R, 2001, J DAIRY SCI, V84, P600 2219 BAREILLE N, 2003, LIVEST PROD SCI, V83, P53 2220 BARTELS CJM, 2006, PREV VET MED, V77, P186 2221 BORSBERRY S, 1989, VET REC, V124, P217 2222 BUTLER WR, 2003, LIVEST PROD SCI, V83, P211 2223 CHANG YM, 2006, J DAIRY SCI, V89, P772 2224 COLLICK DW, 1989, VET REC, V125, P103 2225 DEKKERS JCM, 1998, LIVEST PROD SCI, V53, P237 2226 DHALIWAL GS, 1996, VET REC, V139, P110 2227 DOBSON H, 2000, ANIM REPROD SCI, V60, P743 2228 DOBSON H, 2001, THERIOGENOLOGY, V55, P65 2229 DOBSON H, 2003, REPRODUCTION, V125, P151 2230 FRAY MD, 2002, REPRODUCTION, V123, P281 2231 GARNSWORTHY PC, 2007, RECENT ADV ANIMAL NU, P150 2232 HAILEMARIAM M, 2003, LIVEST PROD SCI, V80, P189 2233 HANSEN PJ, 1999, J ANIM SCI S2, V77, P36 2234 HARRISON RO, 1990, J DAIRY SCI, V73, P2749 2235 HERATH S, 2006, ENDOCRINOLOGY, V147, P562 2236 HERNANDEZ JA, 2005, JAVMA-J AM VET MED A, V227, P1284 2237 HUSZENICZA G, 2005, REPROD DOMEST ANIM, V40, P199 2238 KLINC P, 2007, REPROD DOMEST ANIM, V42, P58 2239 KNIGHT CH, 2001, P NUTR SOC, V60, P527 2240 KRAJCARSKIHUNT H, 2002, J DAIRY SCI, V85, P570 2241 LEROY JLMR, 2005, THERIOGENOLOGY, V64, P2022 2242 LOPEZ H, 2004, ANIM REPROD SCI, V81, P209 2243 LOPEZGATIUS F, 2003, THERIOGENOLOGY, V59, P801 2244 LOPEZGATIUS F, 2006, THERIOGENOLOGY, V65, P1678 2245 LUCY MC, 2001, J DAIRY SCI, V84, P1277 2246 MATEUS L, 2003, ANIM REPROD SCI, V76, P143 2247 MELENDEZ P, 2003, THERIOGENOLOGY, V59, P927 2248 MUIR BL, 2004, J DAIRY SCI, V87, P3029 2249 OPSOMER G, 2000, THERIOGENOLOGY, V53, P841 2250 PARKER AJC, 1992, THESIS U LIVERPOOL L 2251 PETERSSON KJ, 2006, ANIM REPROD SCI, V91, P201 2252 PRYCE JE, 2004, LIVEST PROD SCI, V86, P125 2253 RETNAYAKE DRT, 1998, ACTA AGR SCAND, V39, P215 2254 ROTH Z, 2001, REPRODUCTION, V121, P745 2255 ROTH Z, 2001, REPRODUCTION, V122, P737 2256 ROYAL MD, 2000, ANIM SCI 3, V70, P487 2257 SCHRICK FN, 2001, J DAIRY SCI, V84, P1407 2258 SHELDON IM, 2002, REPRODUCTION, V123, P837 2259 SHELDON IM, 2004, ANIM REPROD SCI, V82, P295 2260 SNIJDERS SEM, 2000, THERIOGENOLOGY, V53, P981 2261 SUZUKI C, 2001, DOMEST ANIM ENDOCRIN, V20, P267 2262 WALKER SL, 2005, REPROD DOMEST ANIM, V40, P342 2263 WALKER SL, 2006, REPROD DOMEST ANIM, V41, P304 2264 WEBB R, 2004, J ANIM SCI SE, V82, E63 2265 WEIGEL KA, 2006, ANIM REPROD SCI, V96, P323 2266 ZWALD NR, 2004, J DAIRY SCI, V87, P4287 2267 NR 50 2268 TC 0 2269 PU BLACKWELL PUBLISHING 2270 PI OXFORD 2271 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 2272 SN 0936-6768 2273 J9 REPROD DOMEST ANIM 2274 JI Reprod. Domest. Anim. 2275 PD SEP 2276 PY 2007 2277 VL 42 2278 SU Suppl. 2 2279 BP 17 2280 EP 23 2281 PG 7 2282 SC Agriculture, Dairy & Animal Science; Reproductive Biology; Veterinary 2283 Sciences 2284 GA 207IW 2285 UT ISI:000249245800004 2286 ER 2287 2288 PT J 2289 AU Hermes, R 2290 Goritz, F 2291 Streich, WJ 2292 Hildebrandt, TB 2293 AF Hermes, R. 2294 Goeritz, F. 2295 Streich, W. J. 2296 Hildebrandt, T. B. 2297 TI Assisted reproduction in female Rhinoceros and elephants - Current 2298 status and future perspective 2299 SO REPRODUCTION IN DOMESTIC ANIMALS 2300 LA English 2301 DT Article 2302 ID CERATOTHERIUM-SIMUM-SIMUM; DICEROS-BICORNIS-MICHAELI; 2303 NATIONAL-ZOOLOGICAL-PARK; LOXODONTA-AFRICANA; ASIAN ELEPHANT; WHITE 2304 RHINOCEROS; DICERORHINUS-SUMATRENSIS; SUMATRAN-RHINOCEROS; INDIAN 2305 RHINOCEROS; ESTROUS-CYCLE 2306 AB Over the last few decades, rhinoceroses and elephants became important 2307 icons in the saga of wildlife conservation. Recent surveys estimate the 2308 wild Asian (Elephas maximus) and African (Loxodonta africana) elephant 2309 populations to be, at most, 50 250 and 637 600 respectively. For the 2310 five rhinoceros species, black (Diceros bicornis), white (Ceratotherium 2311 simum), Indian (Rhinoceros unicornis), Javan (Rhinoceros sondaicus) and 2312 Sumatran rhinoceros (Dicerorhinus Sumatrensis), the population 2313 estimates of 3610, 11 330, 2400, 60 and 300, respectively, are of even 2314 greater concern. Protected against habitat loss, poaching and left 2315 undisturbed, rhinoceros and elephants reproduce well in the wild. But 2316 small and decreasing populations make successful captive management of 2317 these taxa increasingly important. In captivity, however, most 2318 populations face possible 'extinction' because of historically poor 2319 reproductive performance. From the first descriptions of the 2320 reproductive anatomy and the oestrous cycle (Laws 1969; Kassam and 2321 Lasley 1981; Balke et al. 1988a, b; Plotka et al. 1988; Godfrey et al. 2322 1991) to the present use of advanced assisted reproduction 2323 technologies, researchers have strive to understand the function and 2324 dysfunction of the reproductive biology of these charismatic species. 2325 This paper reviewed the current knowledge on rhinoceros and elephant 2326 reproduction biology, reproductive cycle, gestation, dystocia, 2327 reproductive pathology, oestrous induction and artificial insemination, 2328 sperm sexing, IVF and contraception, and how this knowledge is or might 2329 be used to aid species conservation for maximal reproductive efficiency 2330 and enhancement of genetic management. 2331 C1 Leibniz Inst Zoo Biol & Wildlife Res, Dept Reprod Management, D-10315 Berlin, Germany. 2332 RP Hermes, R, Leibniz Inst Zoo Biol & Wildlife Res, Dept Reprod 2333 Management, Alfred Kowalke Str 17, D-10315 Berlin, Germany. 2334 EM hermes@izw-berlin.de 2335 CR *AZA, 2005, AZA RHIN ADV GROUP S 2336 *IUCN WORLD CONS U, 2006, W AFR BLACK RHIN FEA 2337 ADAMS GP, 1991, ZOO BIOL, V10, P246 2338 AGNEW DW, 2004, VET PATHOL, V41, P179 2339 BALKE JME, 1988, J REPROD FERTIL, V84, P485 2340 BALKE JME, 1988, ZOO BIOL, V7, P99 2341 BERKELEY EV, 1997, ZOO BIOL, V16, P121 2342 BERTSCHINGER H, 2006, P AM ZOO VET AAZV TA, P283 2343 BROWN JL, 1995, ZOO BIOL, V14, P555 2344 BROWN JL, 1999, BIOL REPROD, V61, P1294 2345 BROWN JL, 1999, ZOO BIOL, V18, P223 2346 BROWN JL, 2001, ZOO BIOL, V20, P463 2347 BROWN JL, 2004, ZOO BIOL, V23, P45 2348 CARDEN M, 1998, ANIM REPROD SCI, V53, P133 2349 CARNEVALE EM, 2001, J AM VET MED ASSOC, V218, P87 2350 CZEKALA NM, 1996, ZOO BIOL, V15, P37 2351 CZEKALA NM, 2003, ZOO BIOL, V22, P443 2352 DEHNHARD M, 2001, REPRODUCTION, V121, P475 2353 DEHNHARD M, 2003, J STEROID BIOCHEM, V84, P383 2354 DELSINK AK, 2002, REPROD S, V60, P117 2355 DITTRICH L, 1985, DER ZOOFREUND, V56, P2 2356 DUER C, 2002, ANIM REPROD SCI, V69, P47 2357 FAYRERHOSKEN RA, 2000, NATURE, V407, P149 2358 FICKEL J, 2001, VET MICROBIOL, V82, P103 2359 FIESS M, 1999, GEN COMP ENDOCR, V115, P76 2360 FOERNER JJ, 1999, ZOO WILD ANIMALS MED, P522 2361 FOOSE TJ, 2006, INT ZOO YEARB, V40, P174 2362 GALLI C, 2002, THERIOGENOLOGY, V58, P705 2363 GARNER DL, 2006, THERIOGENOLOGY, V65, P943 2364 GARNIER JN, 2002, REPRODUCTION, V123, P877 2365 GODFREY RRW, 1990, THERIOGENOLOGY, V323, P231 2366 GODFREY RW, 1991, ZOO BIOL, V10, P165 2367 GOMEZ A, 2004, ZOO BIOL, V23, P501 2368 GORITZ F, 1999, VERH BER ERKRG ZOOTI, V39, P39 2369 HARDY K, 2002, REPRODUCTION, V123, P171 2370 HEISTERMANN M, 1997, ZOO BIOL, V16, P273 2371 HEISTERMANN M, 1998, ANIM REPROD SCI, V53, P157 2372 HERMES R, 2000, ZOO BIOL, V19, P369 2373 HERMES R, 2003, P AM ASS ZOO VET, P264 2374 HERMES R, 2004, ANIM REPROD SCI, V82, P49 2375 HERMES R, 2005, THERIOGENOLOGY, V63, P219 2376 HERMES R, 2006, THERIOGENOLOGY, V65, P1492 2377 HESS DL, 1983, BIOL REPROD, V28, P767 2378 HILDEBRANDT T, 2007, P R SOC B, V274, P323 2379 HILDEBRANDT TB, 1995, VER BER ERKRG ZOOTIE, V36, P59 2380 HILDEBRANDT TB, 1996, 19606925, DE 2381 HILDEBRANDT TB, 1997, JEMA, V8, P44 2382 HILDEBRANDT TB, 1998, J ZOO WILDLIFE MED, V29, P114 2383 HILDEBRANDT TB, 1999, P AM ASS ZOO VET ANN, P83 2384 HILDEBRANDT TB, 1999, ZOO WILD ANIMAL MED, P41 2385 HILDEBRANDT TB, 2000, THERIOGENOLOGY, V53, P73 2386 HILDEBRANDT TB, 2000, ZOO BIOL, V19, P321 2387 HILDEBRANDT TB, 2000, ZOO BIOL, V19, P333 2388 HILDEBRANDT TB, 2003, CONSERV BIOL SER, V8, P166 2389 HILDEBRANDT TB, 2003, VERH BER ERKRG ZOOTI, V41, P315 2390 HILDEBRANDT TB, 2006, INT ZOO YEARB, V40, P20 2391 HILDEBRANDT TB, 2007, THERIOGENOLOGY 2392 HINDLE JE, 1992, J REPROD FERTIL, V94, P237 2393 HODGES JK, 1989, J ZOOL, V219, P89 2394 HODGES JK, 1997, BIOL REPROD, V56, P640 2395 HODGES JK, 1998, ANIM REPROD SCI, V53, P3 2396 HOWARD JG, 1986, J REPROD FERTIL, V78, P295 2397 JEWGENOW K, 1995, 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BEHAV ECOLOGY WHITE 2419 OWENSMITH RN, 1975, Z TIERPSYCHOL, V38, P341 2420 PATTON ML, 1999, ZOO BIOL, V18, P111 2421 PLOTKA ED, 1988, BIOL REPROD, V38, P309 2422 RADCLIFFE RM, 2000, J ZOO WILDLIFE MED, V31, P201 2423 RADCLIFFE RW, 1997, ZOO BIOL, V16, P445 2424 RADCLIFFE RW, 2001, THERIOGENOLOGY, V55, P1033 2425 RAMSAY EC, 1987, ZOO BIOL, V6, P275 2426 RICHMAN LK, 1999, SCIENCE, V283, P1171 2427 RICHMAN LK, 2000, ZOO BIOL, V19, P383 2428 ROTH TL, 2001, REPRODUCTION, V121, P139 2429 ROTH TL, 2004, ZOO BIOL, V23, P219 2430 ROTH TL, 2006, INT ZOO YEARB, V40, P130 2431 SCHAFFER NE, 1994, J ZOO WILDLIFE MED, V25, P337 2432 SCHAFTENAAR W, 1996, P AM ASS ZOO VET, P434 2433 SCHAFTENAAR W, 2001, P AM ASS ZOO VET, P348 2434 SCHAFTERNAAR W, 2005, VET GUIDELINES REPRO, P1 2435 SCHMITT DL, 1998, ANIM REPROD SCI, V53, P309 2436 SCHMITT DL, 2006, BIOL MED SURG ELEPHA, P347 2437 SCHWARTZ D, 1996, GEO ECO TROP, V20, P15 2438 SCHWARZENBERGER F, 1993, J REPROD FERTIL, V98, P285 2439 SCHWARZENBERGER F, 1997, ZOO BIOL, V16, P403 2440 SCHWARZENBERGER F, 1998, ANIM REPROD SCI, V53, P173 2441 SCHWARZENBERGER F, 2000, GEN COMP ENDOCR, V119, P300 2442 STETTER M, 2005, P AM ZOO VET OM NB U, P199 2443 STOOPS MA, 2004, REPRODUCTION, V128, P843 2444 THITARAM C, 2006, THERIOGENOLOGY, V66, P1284 2445 THONGTIP N, 2004, THERIOGENOLOGY, V62, P748 2446 WIESE RJ, 2000, ZOO BIOL, V19, P299 2447 WIESE RJ, 2004, ZOO BIOL, V23, P365 2448 ZSCHOKKE S, 1998, INT ZOO NEWS, V45, P5 2449 NR 114 2450 TC 0 2451 PU BLACKWELL PUBLISHING 2452 PI OXFORD 2453 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 2454 SN 0936-6768 2455 J9 REPROD DOMEST ANIM 2456 JI Reprod. Domest. Anim. 2457 PD SEP 2458 PY 2007 2459 VL 42 2460 SU Suppl. 2 2461 BP 33 2462 EP 44 2463 PG 12 2464 SC Agriculture, Dairy & Animal Science; Reproductive Biology; Veterinary 2465 Sciences 2466 GA 207IW 2467 UT ISI:000249245800006 2468 ER 2469 2470 PT J 2471 AU Huang, K 2472 Provan, KG 2473 AF Huang, Kun 2474 Provan, Keith G. 2475 TI Structural embeddedness and organizational social outcomes in a 2476 centrally governed mental health services network 2477 SO PUBLIC MANAGEMENT REVIEW 2478 LA English 2479 DT Article 2480 DE collaboration; embeddedness; mental health services; public networks; 2481 social outcomes 2482 ID INTERORGANIZATIONAL RELATIONS; LAW FIRMS; PERFORMANCE; EXCHANGE; 2483 SYSTEMS; TRUST; MANAGEMENT; POWER 2484 AB This article is an examination of the effects of network involvement, 2485 or structural embeddedness, on three organizationally based social 2486 outcomes. Specifically, we argue that in centralized, publicly funded 2487 networks an organization's structural embeddedness will be related to 2488 its trustworthiness, reputation and influence, as rated by other 2489 network members. Results from a network survey of a publicly funded 2490 health and human service network generally confirm our hypotheses and 2491 suggest additional work on the topic, 2492 C1 New Mexico State Univ, Dept Govt, Las Cruces, NM 88003 USA. 2493 Univ Arizona, Sch Publ Adm & Policy, Tucson, AZ 85721 USA. 2494 RP Huang, K, New Mexico State Univ, Dept Govt, Las Cruces, NM 88003 USA. 2495 EM kunhuang@nmsu.edu 2496 kprovan@email.arizona.edu 2497 CR ADDICOTT R, 2003, EUR GROUP PUBL ADM A 2498 AGRANOFF R, 1991, PUBLIC ADMIN REV, V51, P542 2499 AGRANOFF R, 2001, J PUBL ADM RES THEOR, V11, P295 2500 BANASZAKHOLL J, 1998, J HEALTH SOC BEHAV, V39, P368 2501 BENJAMIN BA, 1999, ADMIN SCI QUART, V44, P563 2502 BORGATTI SP, 2002, UCINET WINDOWS SOFTW 2503 CARROLL GR, 1985, AM J SOCIOL, V90, P1262 2504 CHASKIN RJ, 2001, BUILDING COMMUNITY C 2505 COOK KS, 1977, SOCIOLOGICAL Q, V18, P62 2506 COOK KS, 1978, AM SOCIOL REV, V43, P721 2507 DIANI M, 2002, METHODS SOCIAL MOVEM 2508 DIMAGGIO PJ, 1983, AM SOCIOL REV, V48, P147 2509 DYER JH, 2003, ORGAN SCI, V14, P57 2510 EMERSON R, 1962, AM SOCIOL REV, V27, P1 2511 FERLIE E, 1996, BRIT J MANAGE, V7, P81 2512 FERLIE E, 2003, MANAGED CARE NETWORK 2513 GALASKIEWICZ J, 1979, SOC FORCES, V57, P1356 2514 GALASKIEWICZ J, 1985, ANNU REV SOCIOL, V11, P281 2515 GRANOVETTER M, 1985, AM J SOCIOL, V91, P3 2516 GULATI R, 1995, ACAD MANAGE J, V38, P85 2517 GULATI R, 1999, AM J SOCIOL, V104, P1439 2518 HOFFMAN AN, 1990, J BUS RES, V20, P333 2519 JOHNSEN MC, 1998, RES COMMUNITY MENTAL, V9 2520 JONES C, 1997, ACAD MANAGE REV, V22, P911 2521 KICKERT WJM, 1997, MANAGING COMPLEX NET 2522 LAUMANN EO, 1978, ANNU REV SOCIOL, V4, P455 2523 LEICHSENRING K, 2004, INT J INTEGR CARE, V4, P1 2524 MAYER RC, 1999, J APPL PSYCHOL, V84, P123 2525 MILWARD HB, 2003, PUBLIC MANAGEMENT RE, V5, P1 2526 MORRIS GS, 1994, CAN J PHYSIOL PHARM, V72, P1 2527 OLIVER AL, 1996, HEALTH SERV RES, V30, P771 2528 OTOOLE LJ, 1997, PUBLIC ADMIN REV, V57, P45 2529 PERRONE V, 2003, ORGAN SCI, V14, P422 2530 PFEFFER J, 1978, EXTERNAL CONTROL ORG 2531 PODOLNY JM, 1993, AM J SOCIOL, V98, P829 2532 PODOLNY JM, 1998, ANNU REV SOCIOL, V24, P57 2533 POLLITT C, 2000, PUBLIC MANAGEMENT RE 2534 POWELL W, 1990, RES ORG BEHAV 2535 PROVAN KG, 1995, ADMIN SCI QUART, V40, P1 2536 PROVAN KG, 2001, PUBLIC ADMIN REV, V61, P14 2537 PUTNAM RD, 1993, MAKING DEMOCRACY WOR 2538 RICHARD GF, 1994, MILBANK Q, V72, P81 2539 SCHRUIJER S, 2004, EMERGING WORLD CHAIN 2540 SCOTT WR, 2001, I ORG 2541 SHERER PD, 1995, IND LABOR RELAT REV, V48, P671 2542 SHERER PD, 2002, ACAD MANAGE J, V45, P102 2543 SHRUM W, 1988, AM J SOCIOL, V93, P882 2544 STUART TE, 1999, ADMIN SCI QUART, V44, P315 2545 TOWNSLEY R, 2004, MAKING DIFFERENCE EX 2546 WASSERMAN S, 1994, SOCIAL NETWORK ANAL 2547 WIEWEL W, 1985, ADM SCI Q, V30, P482 2548 WOODARD KL, 1998, RES COMMUNITY MENTAL 2549 NR 52 2550 TC 0 2551 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 2552 PI ABINGDON 2553 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 2554 SN 1471-9037 2555 J9 PUBLIC MANAG REV 2556 JI Public Manag. Rev. 2557 PD JUN 2558 PY 2007 2559 VL 9 2560 IS 2 2561 BP 169 2562 EP 189 2563 PG 21 2564 SC Management; Public Administration 2565 GA 194XK 2566 UT ISI:000248376900001 2567 ER 2568 2569 PT J 2570 AU McCourt, W 2571 Foon, LM 2572 AF McCourt, Willy 2573 Foon, Lee Meng 2574 TI Malaysia as model - Policy transferability in an Asian country 2575 SO PUBLIC MANAGEMENT REVIEW 2576 LA English 2577 DT Article 2578 DE history; human resource management; Malaysia; performance management; 2579 policy transfer; public management 2580 ID CIVIL-SERVICE; INDUSTRIAL-RELATIONS; REFORM; HRM 2581 AB This article uses a case study of public human resource management 2582 (HRM) in Malaysia to explore policy 'transferability', proposed as a 2583 refinement of Dolowitz and Marsh's policy transfer framework. 2584 HRM in the Malaysian civil service is found to be relatively 2585 performance-orientated, though that is qualified by the Government's 2586 affirmative action policies. Malaysia's approach is attributed to 2587 factors that have their roots in Malaysia's history: the pervasive 2588 respect for authority, the ethnic mix, its Anglo-Saxon orientation, the 2589 successful economy, the National Development Policy of 1990 and the 2590 personal role of former Prime Minister Mahathir Mohamed. These factors 2591 suggest that public management is both shaped and constrained by its 2592 historical roots. The case suggests that successful policy transfer 2593 requires an understanding of those roots, especially when there is a 2594 significant distance in cultural, political, economic or linguistic 2595 terms between the countries transferred from and to. 2596 C1 Univ Manchester, Inst Dev Policy & Management, Manchester M13 9QS, Lancs, England. 2597 RP McCourt, W, Univ Manchester, Inst Dev Policy & Management, Harold 2598 Hankins Bldg,Oxford Rd, Manchester M13 9QS, Lancs, England. 2599 EM willy.mccourt@man.ac.uk 2600 mflee2004@yahoo.com 2601 CR *IMF, 2004, IMF CONCL 2003 2602 AHMAD AS, 2003, MALAYSIAN BUREAUCRAC 2603 ALARKOUBI K, 2004, INT J HUM RESOUR MAN, V15, P978 2604 ANDAYA B, 2001, HIST MALAYSIA 2605 ARTHUR WB, 1989, ECON J, V99, P116 2606 BACHE I, 2004, J PUBLIC POLICY, V23, P279 2607 BHPAL M, 2002, J HUMAN RESOURCE MAN, V43, P1165 2608 CASE W, 1995, POLITICAL LEGITIMACY 2609 CASE W, 2002, POLITICS S E ASIA 2610 CHIU NK, 1997, PUBLIC ADMIN DEVELOP, V17, P175 2611 CHOI J, 2003, DEMOCRATIZATION, V10, P121 2612 CHOWDHURY A, 1996, CANADIAN J DEV STUDI, V17, P487 2613 COLLINS A, 1998, CONT SE ASIA, V20, P261 2614 COMMON R, 1999, 3 INT RES S PUBL MAN 2615 CROUCH H, 1996, GOVT SOC MALAYSIA 2616 DOLOWITZ D, 1996, POLIT STUD-LONDON, V44, P343 2617 DOLOWITZ DP, 2000, GOVERNANCE, V13, P5 2618 EMBONG A, 2002, STATE LED MODERNIZAT 2619 EMSLEY I, 1996, MALAYSIAN EXPERIENCE 2620 ESMAN M, 1972, ADM DEV MALAYSIA INS 2621 EVANS C, 1998, INT J POWDER METALL, V34, P6 2622 EVANS P, 1995, EMBEDDED AUTONOMY ST 2623 GANGULY S, 1997, GOVT POLICIES ETHNIC 2624 GOMEZ E, 1997, MALAYSIAS POLITICAL 2625 GREENER I, 2002, GOVERNANCE, V15, P161 2626 HENDERSON J, 1999, ECON SOC, V28, P327 2627 HILLEY J, 2001, MALAYSIA MAHATHIRISM 2628 HOFSTEDE G, 1980, CULTURES CONSEQUENCE 2629 HOUGH W, 2005, J COMMUNIST STUDIES, V21, P1 2630 JACOBS C, 1990, PUBLIC ADMIN DEVELOP, V10, P315 2631 JAMES O, 2003, POLITICAL STUDIES RE, V1, P179 2632 JOMO K, 1994, TRADE UNIONS STATE P 2633 JOMO K, 2001, MALYASIAN ECLIPSE EC 2634 KAUFMANN D, 2005, GOVERNANCE MATTERS 4 2635 KHOO B, 2003, MAHATHIR MALAYSIAN P 2636 KIRAGU K, 2004, PAY REFORM POLICIES 2637 KURUVILLA S, 2002, IND RELAT, V41, P171 2638 MAHONEY J, 2003, AM J SOCIOL, V109, P50 2639 MANSOR N, 1998, INT J HUM RESOUR MAN, V9, P506 2640 MCCOURT W, IN PRESS HUMAN FACTO 2641 MCCOURT W, 2001, INT J HUM RESOUR MAN, V12, P56 2642 MCCOURT W, 2003, INT J HUM RESOUR MAN, V14, P600 2643 MEANS G, 1991, MALAYSIAN POLITICS S 2644 MEANS GP, 1996, J DEMOCR, V7, P103 2645 MELLAHI K, 2004, MANAGING HUMAN RESOU 2646 MILNE R, 1999, MALAYSIAN POLITICS M 2647 MINNS J, 2001, THIRD WORLD Q, V22, P1025 2648 MORGAN D, 1997, FOCUS GROUPS QUALITA 2649 MUSA M, 1999, MALAY DILEMMA REVISI 2650 NAKANO K, 2004, GOVERNANCE, V17, P169 2651 NAVARATNAM R, 2003, MALAYSIAS EC CHALLEN 2652 NORTH D, 1990, INSTITUTIONS INSTITU 2653 PARASURAMAN B, 2003, MALAYSIAN IND RELATI 2654 PUTHUCHEARY M, 1987, GOVT POLITICS MALAYS 2655 PUTNAM R, 1993, MAKING DEMOCRACY WOR 2656 SAMPSON A, 2004, WHO RUNS PLACE ANAT 2657 SARJI A, 1995, CIVIL SERVICE MALAYS 2658 SCHILLING M, 2002, ACAD MANAGE J, V25, P387 2659 SCOTT J, 1968, POLITICAL IDEOLOGY M 2660 SHAFIE H, 1996, PUBLIC ADMIN DEVELOP, V16, P341 2661 SHARMA K, 1998, PUBLIC ADM DEV, V18, P431 2662 SIFFIN W, 1966, BUREAUCRACY I CHANGE 2663 TAIB A, 1982, POLITICAL EC MALAYSI 2664 TAIB M, 1992, GOVERNANCE, V5, P423 2665 TAVITS M, 2003, POLICY STUD J, V31, P643 2666 THOMPSON MR, 2001, J DEMOCR, V12, P154 2667 TODD P, 2001, INT J HUM RESOUR MAN, V12, P1365 2668 TURNER M, 2002, INT J PUBLIC ADMIN, V25, P1493 2669 VANDERGAAG J, 1989, WORLD BANK ECON REV, V3, P67 2670 WEISS M, 1999, CONT SE ASIA, V21, P424 2671 WU M, 1990, MALAYSIAN LEGAL SYST 2672 ZAKARIA H, 1989, DEMOCRACY DEV COUNTR 2673 NR 72 2674 TC 0 2675 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 2676 PI ABINGDON 2677 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 2678 SN 1471-9037 2679 J9 PUBLIC MANAG REV 2680 JI Public Manag. Rev. 2681 PD JUN 2682 PY 2007 2683 VL 9 2684 IS 2 2685 BP 211 2686 EP 229 2687 PG 19 2688 SC Management; Public Administration 2689 GA 194XK 2690 UT ISI:000248376900003 2691 ER 2692 2693 PT J 2694 AU Guthrie, J 2695 Neumann, R 2696 AF Guthrie, James 2697 Neumann, Ruth 2698 TI Economic and non-financial performance indicators in universities - The 2699 establishment of a performance-driven system for Australian higher 2700 education 2701 SO PUBLIC MANAGEMENT REVIEW 2702 LA English 2703 DT Article 2704 DE accounting change; Australian higher education policy; knowledge 2705 economy; marketization; new public management; performance information 2706 AB This article presents the findings of a project investigating the 2707 intended and unintended consequences of the contemporary 2708 performance-driven environment in the Australian higher education 2709 sector (AHES) focusing on the performance mechanisms used and the 2710 performance information required. It is argued that the establishment 2711 of a performance-driven, market-oriented university system in Australia 2712 has created a context in which fiscal and economic performance 2713 indicators have become dominant in understanding the 'performance' of 2714 the AHES and of individual universities' activities. This article 2715 analyses the AHES policy environment since the mid-1980s and outlines 2716 Australia's performance-based funding approach to universities. The 2717 contribution of universities to the nation's economy and the developing 2718 benchmarks and performance indicators (Pls) used for annual reporting 2719 at system and institutional levels are described. Several key issues 2720 are identified as arising from contemporary government policies. These 2721 issues, which form the basis for the suggested future research agenda, 2722 touch the core of university purposes and operations and need thought 2723 and resolution to ensure the long-term success of Australian public 2724 universities. 2725 C1 Univ Sydney, Fac Econ & Business, Discipline Accounting & Business Law, Sydney, NSW 2006, Australia. 2726 Macquarie Univ, Macquarie Grad Sch Management, Sydney, NSW 2109, Australia. 2727 RP Guthrie, J, Univ Sydney, Fac Econ & Business, Discipline Accounting & 2728 Business Law, Sydney, NSW 2006, Australia. 2729 EM j.guthrie@econ.usyd.edu.au 2730 CR *BHERT, 2002, 8 BHERT 2731 *DEST, 2001, 01B DEST HIGH ED DIV 2732 *DEST, 2003, FIN 2001 SEL HIGH ED 2733 *DEST, 2003, NAT REP HIGH ED AUST 2734 *DEST, 2004, 2004 2006 TRIENN REP 2735 *DEST, 2004, QUAL ACC FRAM 2736 *DETYA, 1997, CHAR PERF HIGH ED I 2737 *DETYA, 1998, CHAR PERF HIGH ED I 2738 *DETYA, 2001, CHAR PERF IND AUSTR 2739 *DISR, 2001, INV VAL CAS MEAS REP 2740 *MACQ U, 2003, ANN REP 2002 2003 2741 *MON U, 2003, ANN REP 2002 2003 2742 *U SYDN, 2004, ANN REP 2002 2003 2743 AINLEY J, 2001, 1999 POSTGRADUATE RE 2744 ARNABOLDI M, 2004, FINANCIAL ACCOUNTABI, V20, P205 2745 BALDWIN G, 2002, ORG ACAD YEAR TRENDS 2746 BESSANT B, 1995, AUSTR U REV, V38, P59 2747 BOEDKER C, 2005, J INTELLECTUAL CAPIT, V5, P510 2748 BOURKE P, 1993, PERFORMANCE INDICATO 2749 BROADBENT J, 1992, ACCOUNTING AUDITING, V5, P3 2750 CABALU H, 2000, DOLLARS CENTS VALUIN 2751 CAMERON J, 1993, FINANCIAL ACCOUNTABI, V9, P1 2752 CARLIN T, 2001, AUSTR ACCOUNTING REV, V13, P89 2753 CARLIN T, 2003, PUBLIC MANAGEMENT RE, V5, P145 2754 CARLIN T, 2005, 9 INT RES S PUBL MAN 2755 CARRINGTON R, 2004, AS PAC PROD C U QUEE 2756 CAVE M, 1997, USE PERFORMANCE INDI 2757 CLARK B, 1995, PLACES INQUIRY RES A 2758 CLARK B, 1998, CREATING ENTREPRENEU 2759 CLARK B, 2004, SUSTAINING CHANGE U 2760 CONSIDINE M, 2001, COMP PERFORMANCE AUS 2761 COY D, 1998, ACCOUNTING AUDITING, V11, P540 2762 CRAIG RJ, 1999, ACCOUNTING AUDITING, V12, P510 2763 CUGINI A, 2004, WORKSHOP PROCESS REF 2764 DEEM R, 2004, FINANCIAL ACCOUNTABI, V20, P107 2765 ENGLISH L, 2005, INT PUBLIC FINANCIAL 2766 GALLAGHER M, 2000, IMHE GEN C OECD PAR 2767 GARLICK S, 2004, BENCHMARKING U LEARN 2768 GRAY R, 1990, FINANCIAL ACCOUNTABI, V6, P51 2769 GRAY R, 2002, ACCOUNTING FORUM, V26, P1 2770 GRILICHES Z, 1979, BELL J ECON, V10, P1 2771 GUTHRIE J, 1990, PUBLIC SECTOR CONT R 2772 GUTHRIE J, 1993, PERSPECTIVES PERFORM 2773 GUTHRIE J, 1998, PUBLIC SECTOR TRANSF 2774 GUTHRIE J, 2001, ACCOUNTING AUDITING, V14, P7 2775 GUTHRIE J, 2001, J INTELLECTUAL CAPIT, V2, P27 2776 GUTHRIE J, 2005, INT PUBLIC FINANCIAL 2777 HEALEY G, 2003, CAMPUS REV, V13, P5 2778 HENKEL M, 2000, HIGHER ED POLICY SER, V46 2779 JACKSON C, 2000, CANBERRA TIMES 0810, P9 2780 JOHNES J, 1990, PERFORMANCE INDICATO 2781 JONES C, 1986, FINANCIAL ACCOUNTABI, V2, P107 2782 JONES L, 2001, LEARNING INT PUBLIC, V1 2783 LAUGHLIN R, 1998, GLOBAL WARNING INT T 2784 LAWRENCE S, 2002, CRIT PERSPECT, V13, P661 2785 LESLIE LL, 2001, AUSTR ASS RES ED S F 2786 LINDSAY A, 1988, 8 ASHE ERIC 2787 LINDSAY A, 1995, COLLEGIALITY MANAGER 2788 MARGINSON S, 2000, ENTERPRISE U POWER G 2789 MARGINSON S, 2003, SYDNEY MORNING 0714, P11 2790 MARSH HW, 2002, J HIGH EDUC, V73, P313 2791 MARTIN B, 1996, RELATIONSHIP PUBLICL 2792 MASLEN G, 2003, CAMPUS REV, V13, P11 2793 MCKINNON K, 2000, BENCHMARKING MANUAL 2794 NELSON B, 2003, OUR U BACKING AUSTR 2795 NEUMANN R, 1992, HIGH EDUC, V23, P159 2796 NEUMANN R, 1993, AUSTR ED RES, V20, P33 2797 NEUMANN R, 1994, EUROPEAN J ED, V29, P323 2798 NEUMANN R, 2000, ASSESSMENT EVALUATIO, V25, P121 2799 NEUMANN R, 2001, J I RES, V10, P96 2800 NEUMANN R, 2002, PUBLIC SECTOR MANAGE, V13, P721 2801 NEUMANN R, 2004, PUBLIC SECTOR MANAGE, V6, P473 2802 OLSON O, 1998, GLOBAL WARNING DEBAT 2803 PARKER LD, 2002, CRIT PERSPECT, V13, P603 2804 PARKER LD, 2005, EUROPEAN ACCOUNTING, V14, P383 2805 PENDLEBURY M, 1997, FINANCIAL ACCOUNTABI, V13, P281 2806 PERRIN FX, 2004, ANN CHIM-SCI MAT, V29, P25 2807 PETTY R, 2000, J INTELLECTUAL CAPIT, V1, P155 2808 PRATT G, 1999, INT J PUBLIC SECTOR, V12, P533 2809 ROBST J, 2001, J HIGH EDUC, V72, P730 2810 STILWELL F, 2003, AUSTR U REV, V46, P13 2811 TAYLOR J, 2001, HIGHER ED Q, V55, P42 2812 VAGNONI E, 2005, HIGH TECH IND POLICY 2813 YORKE M, 2004, RETENTION STUDENT SU 2814 NR 84 2815 TC 0 2816 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 2817 PI ABINGDON 2818 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 2819 SN 1471-9037 2820 J9 PUBLIC MANAG REV 2821 JI Public Manag. Rev. 2822 PD JUN 2823 PY 2007 2824 VL 9 2825 IS 2 2826 BP 231 2827 EP 252 2828 PG 22 2829 SC Management; Public Administration 2830 GA 194XK 2831 UT ISI:000248376900004 2832 ER 2833 2834 PT J 2835 AU Bearzi, C 2836 Rota, M 2837 Hosoda, T 2838 Tillmanns, J 2839 Nascirnbene, A 2840 De Angelis, A 2841 Yasuzawa-Amano, S 2842 Trofimova, I 2843 Siggins, RW 2844 LeCapitaine, N 2845 Cascapera, S 2846 Beltrami, AP 2847 D'Alessandro, DA 2848 Zias, E 2849 Quaini, F 2850 Urbanek, K 2851 Michler, RE 2852 Bolli, R 2853 Kajstura, J 2854 Leri, A 2855 Anversa, P 2856 AF Bearzi, Claudia 2857 Rota, Marcello 2858 Hosoda, Toru 2859 Tillmanns, Jochen 2860 Nascirnbene, Angelo 2861 De Angelis, Antonella 2862 Yasuzawa-Amano, Saori 2863 Trofimova, Irina 2864 Siggins, Robert W. 2865 LeCapitaine, Nicole 2866 Cascapera, Stefano 2867 Beltrami, Antonio P. 2868 D'Alessandro, David A. 2869 Zias, Elias 2870 Quaini, Federico 2871 Urbanek, Konrad 2872 Michler, Robert E. 2873 Bolli, Roberto 2874 Kajstura, Jan 2875 Leri, Annarosa 2876 Anversa, Piero 2877 TI Human cardiac stem cells 2878 SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF 2879 AMERICA 2880 LA English 2881 DT Article 2882 DE generation of human myocardium; progenitor cells; stem cell niches 2883 ID ENDOTHELIAL PROGENITOR CELLS; MYOCARDIAL REGENERATION; BONE-MARROW; 2884 POLYARTERITIS-NODOSA; TELOMERE LENGTH; HEART-FAILURE; MULTIPOTENT; 2885 SUBPOPULATIONS; INFARCTION 2886 AB The identification of cardiac progenitor cells in mammals raises the 2887 possibility that the human heart contains a population of stem cells 2888 capable of generating cardiomyocytes and coronary vessels. The 2889 characterization of human cardiac stem cells (hCSCs) would have 2890 important clinical implications for the management of the failing 2891 heart. We have established the conditions for the isolation and 2892 expansion of c-kit-positive hCSCs from small samples of myocardium. 2893 Additionally, we have tested whether these cells have the ability to 2894 form functionally competent human myocardium after infarction in 2895 immunocompromised animals. Here, we report the identification in vitro 2896 of a class of human c-kit-positive cardiac cells that possess the 2897 fundamental properties of stem cells: they are self-renewing, 2898 clonogenic, and multipotent. hCSCs differentiate predominantly into 2899 cardiomyocytes and, to a lesser extent, into smooth muscle cells and 2900 endothelial cells. When locally injected in the infarcted myocardium of 2901 immunodeficient mice and immuno-suppressed rats, hCSCs generate a 2902 chimeric heart, which contains human myocardium composed of myocytes, 2903 coronary resistance arterioles, and capillaries. The human myocardium 2904 is structurally and functionally integrated with the rodent myocardium 2905 and contributes to the performance of the infarcted heart. 2906 Differentiated human cardiac cells possess only one set of human sex 2907 chromosomes excluding cell fusion. The lack of cell fusion was 2908 confirmed by the Cre-lox strategy. Thus, hCSCs can be isolated and 2909 expanded in vitro for subsequent autologous regeneration of dead 2910 myocardium in patients affected by heart failure of ischemic and 2911 nonischemic origin. 2912 C1 New York Med Coll, Cardiovasc Res Inst, Dept Med, Valhalla, NY 10595 USA. 2913 Albert Einstein Coll Med, Dept Cardiac Surg, Bronx, NY 10467 USA. 2914 Univ Louisville, Inst Mol Cardiol, Louisville, KY 40292 USA. 2915 RP Anversa, P, New York Med Coll, Cardiovasc Res Inst, Dept Med, Vosburgh 2916 Pavil, Valhalla, NY 10595 USA. 2917 EM piero-anversa@nymc.edu 2918 CR BADORFF C, 2003, CIRCULATION, V107, P1024 2919 BELTRAMI AP, 2003, CELL, V114, P763 2920 CHIEN KR, 2004, NATURE, V428, P607 2921 CHIMENTI C, 2003, CIRC RES, V93, P604 2922 DANG NC, 2005, AM J HEMATOL, V79, P61 2923 EBERHARD D, 2005, DEV BIOL, V278, P336 2924 FAZEL S, 2006, J CLIN INVEST, V116, P1865 2925 KATTMAN SJ, 2006, DEV CELL, V11, P723 2926 LEONG FT, 2005, J ROY SOC MED, V98, P121 2927 LERI A, 2005, PHYSIOL REV, V85, P1373 2928 LINKE A, 2005, P NATL ACAD SCI USA, V102, P8966 2929 LOPEZ LR, 1980, J RHEUMATOL, V7, P677 2930 MESSINA E, 2004, CIRC RES, V95, P911 2931 MURASAWA S, 2005, ARTERIOSCL THROM VAS, V25, P1388 2932 MURRY CE, 2005, CIRCULATION, V112, P3174 2933 QUAINI F, 2002, NEW ENGL J MED, V346, P5 2934 ROSSI DJ, 2005, P NATL ACAD SCI USA, V102, P9194 2935 RUFER N, 1998, NAT BIOTECHNOL, V16, P743 2936 SAEGUSA M, 1993, LIVER, V13, P239 2937 URBANEK K, 2003, P NATL ACAD SCI USA, V100, P10440 2938 URBANEK K, 2005, P NATL ACAD SCI USA, V102, P8692 2939 URBANEK K, 2006, P NATL ACAD SCI USA, V103, P9226 2940 VANZIFFLE JAG, 2003, STEM CELLS, V21, P654 2941 WATANABE K, 2003, PATHOL INT, V53, P569 2942 WEIMANN JM, 2003, NAT CELL BIOL, V5, P959 2943 WU SM, 2006, CELL, V127, P1137 2944 NR 26 2945 TC 0 2946 PU NATL ACAD SCIENCES 2947 PI WASHINGTON 2948 PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA 2949 SN 0027-8424 2950 J9 PROC NAT ACAD SCI USA 2951 JI Proc. Natl. Acad. Sci. U. S. A. 2952 PD AUG 28 2953 PY 2007 2954 VL 104 2955 IS 35 2956 BP 14068 2957 EP 14073 2958 PG 6 2959 SC Multidisciplinary Sciences 2960 GA 206ML 2961 UT ISI:000249187500039 2962 ER 2963 2964 PT J 2965 AU Katragadda, S 2966 Schubiner, H 2967 AF Katragadda, Sreenivas 2968 Schubiner, Howard 2969 TI ADHD in children, adolescents, and adults 2970 SO PRIMARY CARE 2971 LA English 2972 DT Review 2973 ID DEFICIT HYPERACTIVITY DISORDER; ATTENTION-DEFICIT/HYPERACTIVITY 2974 DISORDER; COMORBIDITY SURVEY REPLICATION; TERM ATOMOXETINE TREATMENT; 2975 RANDOMIZED CLINICAL-TRIAL; FILM-COATED TABLETS; DOUBLE-BLIND; ILLICIT 2976 USE; LONG-TERM; PRESCRIPTION STIMULANTS 2977 AB Attention-deficit-hyperactivity disorder (ADHD) is a commonly 2978 occurring, heritable neurobehavioral disorder distributed worldwide 2979 that does not typically resolve after childhood. The significant impact 2980 of ADHD on an individual's family, relationships, educational 2981 performance, and performance at work is now well established. Medical 2982 treatment of ADHD is effective, not only alleviating symptoms but also 2983 improving overall functioning. It is imperative that primary care 2984 physicians be well versed in this disorder and its clinical features 2985 across the age groups. The primary care physician should be able to 2986 screen, diagnose, educate, and initiate medication management in 2987 patients with uncomplicated ADHD. 2988 C1 Wayne State Univ, Sch Med, Dept Internal Med, Detroit, MI 48201 USA. 2989 Dartmouth Hitchcock Med Ctr, Dept Psychiat, Lebanon, NH 03766 USA. 2990 Wayne State Univ, Sch Med, Dept Pediat, Detroit, MI 48201 USA. 2991 Wayne State Univ, Sch Med, Dept Psychiat & Behav Neurosci, Detroit, MI USA. 2992 Providence Hosp, Dept Internal Med, Southfield, MI 48075 USA. 2993 RP Schubiner, H, Wayne State Univ, Sch Med, Dept Internal Med, Detroit, MI 2994 48201 USA. 2995 EM howard.schubiner@stjohn.org 2996 CR SAFETY SIDE EFFECT I 2997 *AM PSYCH ASS, 2004, DIAGN STAT MAN MENT 2998 *SHIN PHARM, DAYTR PROD INF SHIR 2999 *US FDA, 2005, PUBL HLTH ADV ADD AD 3000 ACHENBACH TM, 1991, MANUAL CHILD BAHAV C 3001 ACHENBACH TM, 1991, MANUAL TEACHERS REPO 3002 ADEWUYA AO, 2006, EUR CHILD ADOLESC PS 3003 ADLER LA, 2005, J CLIN PSYCHIAT, V66, P294 3004 ADLER 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English 3140 DT Article 3141 DE atrial fibrillation; electrogram; signal processing; independent 3142 component analysis 3143 ID FREQUENCY-ANALYSIS; SURFACE ELECTROCARDIOGRAMS; EXTRACTION; 3144 TACHYARRHYTHMIAS; ACTIVATION; PRINCIPLES; MANAGEMENT; SEPARATION; 3145 SURGERY; NOISE 3146 AB Atrial fibrillation is a very common cardiovascular disease in clinical 3147 practice. One relevant issue to understand its pathophysiological 3148 mechanisms is the analysis and interpretation of atrial electrograms ( 3149 AEG). To study these signals properly, ventricular activity has to be 3150 removed from the AEG. In this work, a new application of independent 3151 component analysis ( ICA) to the AEG is presented, where ventricular 3152 activity is removed from atrial epicardial recordings making use of 3153 only one reference lead. Therefore the technique is suitable when 3154 multi-lead recordings are unavailable as in atrial implantable 3155 cardioverter defibrilators. In addition to the proposed new methodology 3156 this work also presents the first comparative study, making use of 3157 unipolar epicardial AEGs, among the ICA-based technique, template 3158 matching and subtraction ( TMS), and adaptive ventricular cancellation 3159 ( AVC) on a database of 20 patients. A performance comparative analysis 3160 was carried out by evaluating epicardial atrial waveform similarity ( 3161 S) and ventricular depolarization reduction ( VDR) as a function of 3162 atrial rhythm regularity on a beat-by-beat basis. Results indicate 3163 that, when the epicardial atrial rhythm is quite organized, ICA is able 3164 to preserve the atrial waveform very precisely and better than the 3165 other methods ( median S = 99.64% +/- 0.31% in contrast to 95.18% +/- 3166 2.71% for TMS and 94.76% +/- 4.12% for AVC). Moreover, ventricular 3167 reduction is the best for ICA ( median VDR = 6.32 +/- 4.41 dB in 3168 contrast to 4.98 +/- 4.48 dB for TMS and 4.12 +/- 2.72 dB for AVC). On 3169 the other hand, when the atrial activity is disorganized, TMS notably 3170 improves performance ( S = 97.72% +/- 1.87%), but ICA still is the best 3171 in waveform preservation ( S = 98.22% +/- 1.53%) whereas AVC remains 3172 similar ( S = 93.74% +/- 4.38%). In conclusion, ICA can be considered 3173 as notably the best approach to reduce ventricular activity from 3174 unipolar atrial electrograms in organized atrial arrhythmias. On the 3175 other hand, both TMS and ICA give quite similar results when the atrial 3176 arrhythmia is disorganized. 3177 C1 Valencia Univ Technol, Biomed Synergy, Gandia 46730, Spain. 3178 Gen Univ Hosp Consortium Valencia, Dept Cardiac Surg, Valencia 46014, Spain. 3179 RP Rieta, JJ, Valencia Univ Technol, Biomed Synergy, Campus Gandia, Gandia 3180 46730, Spain. 3181 EM jjrieta@eln.upv.es 3182 hornero_fer@gva.es 3183 CR BENJAMIN EJ, 1998, CIRCULATION, V98, P946 3184 BOLLMANN A, 1998, AM J CARDIOL, V81, P1439 3185 BOLLMANN A, 2006, EUROPACE, V8, P911 3186 CARDOSO JF, 1998, P IEEE, V86, P2009 3187 CROMWELL JB, 1994, HEART RHYTHM, V4, S51 3188 FAES L, 2002, IEEE T BIO-MED ENG 2, V49, P1504 3189 FERDJALLAH M, 1994, IEEE T BIO-MED ENG, V41, P529 3190 FURBERG CD, 1994, AM J CARDIOL, V74, P236 3191 FUSTER V, 2006, EUROPACE, V8, P651 3192 GOVINDAN A, 1998, 14 INT C PATT REC, V14 3193 HOUBEN RPM, 2006, IEEE ENG MED BIOL, V25, P40 3194 HYVARINE A, 2001, INDEPENDENT COMPONEN 3195 KANNEL WB, 1982, NEW ENGL J MED, V306, P1018 3196 KONINGS KTS, 1994, CIRCULATION, V89, P1665 3197 LANGLEY P, 2006, IEEE T BIO-MED ENG, V53, P343 3198 LEMAY M, 2007, IEEE T BIO-MED ENG, V54, P542 3199 LIU JH, 2003, INT C IND COMP AN BL, V4, P179 3200 LONGINI RL, 1975, IEEE T BIOMED ENG, V22, P432 3201 MALMIVUO J, 1995, BIOELECTROMAGNETISM 3202 MASE M, 2005, PHYSIOL MEAS, V26, P911 3203 MEHRA R, 2006, IEEE ENG MED BIOL, V25, P52 3204 NADEMANEE K, 2004, J AM COLL CARDIOL, V43, P2054 3205 PAN J, 1985, IEEE T BIO-MED ENG, V32, P230 3206 PAPOULIS A, 1991, PROBABILITY RANDOM V 3207 PETRUTIU S, 2006, IEEE ENG MED BIOL, V25, P24 3208 RAINE D, 2005, J CARDIOVASC ELECTR, V16, P838 3209 RIETA JJ, 2004, IEEE T BIO-MED ENG, V51, P1176 3210 ROITHINGER FX, 1998, J CARDIOVASC ELECTR, V9, P451 3211 SEDRAKYAN A, 2005, J THORAC CARDIOV SUR, V129, P997 3212 SHAN ZL, 2004, J CARDIOVASC ELECTR, V15, P572 3213 SHKUROVICH S, 1998, IEEE T BIO-MED ENG, V45, P229 3214 SLOCUM J, 1985, CIRCULATION, V72, P1028 3215 SOMMO L, 2005, BIOELECTRICAL SIGNAL 3216 STRIDH M, 2001, IEEE T BIO-MED ENG, V48, P105 3217 STRIDH M, 2006, IEEE ENG MED BIOL, V25, P31 3218 TOMPKINS WJ, 1993, BIOMEDICAL DIGITAL S 3219 WELLS JL, 1978, PACE, V1, P426 3220 WIDROW B, 1975, P IEEE, V63, P1692 3221 WOLF PA, 1991, STROKE, V22, P983 3222 NR 39 3223 TC 0 3224 PU IOP PUBLISHING LTD 3225 PI BRISTOL 3226 PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND 3227 SN 0967-3334 3228 J9 PHYSIOL MEAS 3229 JI Physiol. Meas. 3230 PD AUG 3231 PY 2007 3232 VL 28 3233 IS 8 3234 BP 925 3235 EP 936 3236 PG 12 3237 SC Biophysics; Engineering, Biomedical; Physiology 3238 GA 205GD 3239 UT ISI:000249101100015 3240 ER 3241 3242 PT J 3243 AU Leung, LKH 3244 Serrano, P 3245 Schivo, M 3246 Parrondo, A 3247 Guo, Y 3248 Mazzantini, O 3249 Oh, D 3250 Higa, M 3251 Khatchikian, F 3252 Mollerach, R 3253 Fink, J 3254 AF Leung, L. K. H. 3255 Serrano, P. 3256 Schivo, M. 3257 Parrondo, A. 3258 Guo, Y. 3259 Mazzantini, O. 3260 Oh, D. 3261 Higa, M. 3262 Khatchikian, F. 3263 Mollerach, R. 3264 Fink, J. 3265 TI Thermalhydraulics studies examining the feasibility for introducing 3266 slightly enriched uranium fuel into the Embalse CANDU reactor 3267 SO NUCLEAR ENGINEERING AND DESIGN 3268 LA English 3269 DT Article 3270 AB A joint study on the technical feasibility of using 0.9% slightly 3271 enriched uranium (SEU) fuel in the Embalse CANDU reactor was performed 3272 by Atomic Energy of Canada Limited (AECL) and Nucleoelectrica Argentina 3273 S.A. (NASA). The feasibility study focused on the following technical 3274 areas: reactor physics and fuel management, fuel performance, and 3275 safety. Part of the safety assessment involved detailed 3276 thermalhydraulics analyses of three accident scenarios for a full core 3277 of SEU fuel bundles: (i) slow loss-of-reactivity control (LORC) event, 3278 (ii) large-break loss-of-coolant accident (LBLOCA) with emergency core 3279 cooling system (ECCS) available, and (iii) end-fitting failure. Other 3280 accident scenarios possibly encountered during the demonstration 3281 irradiation exercise or transition core have also been examined. It is 3282 concluded that introducing SEU fuel into the Embalse CANDU reactor is 3283 feasible. Clear advantages (e.g., fuel cost saving, increase in fuel 3284 exit burnup, and reduction in spent fuel volume) have been identified. 3285 The reduction in maximum bundle powers and the shift of the maximum 3286 bundle-power location to the inlet of the channel for the SEU fuel 3287 improve operating and safety margins. These margins are higher with the 3288 CANFLEX SEU fuel than the 37-element SEU fuel, due to lower linear 3289 powers and improved thermalhydraulic design. (c) 2007 Elsevier B.V. All 3290 fights reserved. 3291 C1 Atom Energy Canada Ltd, Chalk River, ON K0J 1J0, Canada. 3292 Nucleoelectr Argentina SA, Buenos Aires, DF, Argentina. 3293 Atom Energy Canada Ltd, Mississauga, ON L5K 1B2, Canada. 3294 RP Leung, LKH, Atom Energy Canada Ltd, Chalk River, ON K0J 1J0, Canada. 3295 EM leungl@aecl.ca 3296 CR BOCZAR PG, 1987, P IAEA NUCL POW PERF 3297 GUO Y, 2004, P 6 INT C SIM METH N 3298 HANNA BN, 1998, NUCL ENG DES, V180, P113 3299 HASTINGS IJ, 1988, P INT S URAN EL SASK 3300 HIGA M, 2004, P 6 INT C SIM METH N 3301 KHATCHIKIAN F, 2003, P CNS 2003 ANN C TOR 3302 LANE AD, 1986, P INT C CANDU FUEL C 3303 LEUNG LKH, 2000, P CNS 2000 ANN C TOR 3304 ROUBEN B, 2004, P PAC BAS NUCL C TEC 3305 WALLACE DJ, 2004, P 6 INT C SIM METH N 3306 NR 10 3307 TC 0 3308 PU ELSEVIER SCIENCE SA 3309 PI LAUSANNE 3310 PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND 3311 SN 0029-5493 3312 J9 NUCL ENG DES 3313 JI Nucl. Eng. Des. 3314 PD SEP 3315 PY 2007 3316 VL 237 3317 IS 15-17 3318 BP 1628 3319 EP 1638 3320 PG 11 3321 SC Nuclear Science & Technology 3322 GA 206AT 3323 UT ISI:000249157000007 3324 ER 3325 3326 PT J 3327 AU Wagner, CP 3328 Jennings, MJ 3329 Kampa, JM 3330 Wahl, DH 3331 AF Wagner, Curtis P. 3332 Jennings, Martin J. 3333 Kampa, Jeffrey M. 3334 Wahl, David H. 3335 TI Survival, growth, and tag retention in age-0 Muskellunge implanted with 3336 passive integrated transponders 3337 SO NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT 3338 LA English 3339 DT Article 3340 ID SURGICAL IMPLANTATION; ESOX-MASQUINONGY; ATLANTIC SALMON; PIT TAGS; 3341 FISH; SYSTEM; PERFORMANCE; RECAPTURE; WISCONSIN; MORTALITY 3342 AB Mark-recapture studies are an important component of fisheries research 3343 and management. Underlying assumptions of such studies include minimal 3344 tag loss and negligible effects on the behavior, fitness, and survival 3345 of tagged individuals. Passive integrated transponder (PIT) tags are 3346 becoming increasingly commonplace, largely because of their small size, 3347 ease of implantation, longevity, and reportedly high rates of 3348 retention. We evaluated tag retention and survival and growth effects 3349 on age-0 muskellunge Esox masquinongy marked with PIT tags at two 3350 implantation sites, the peritoneal cavity and the dorsal musculature, 3351 during overwinter trials in Illinois and Wisconsin. For both trials, no 3352 significant differences in survival (88.0-89.8%), relative daily growth 3353 (0.0006-100062 mm.mm(-1).d(-1)), or tag retention (99.5-99.8%) were 3354 observed among the two implantation groups and a control group. 3355 Survival and tag retention were also similar between trials. Our 3356 findings suggest that PIT tags implanted either in the peritoneal 3357 cavity or the dorsal musculature are acceptable for use in marking 3358 age-0 muskellunge. 3359 C1 Illinois Nat Hist Survey, Kaskaskia Biol Stn, Sect Aquat Ecol & Conservat, Sullivan, IL 61951 USA. 3360 Wisconsin Dept Nat Resources, Bur Integrated Sci Serv, Spooner, WI 54801 USA. 3361 RP Wagner, CP, Illinois Nat Hist Survey, Kaskaskia Biol Stn, Sect Aquat 3362 Ecol & Conservat, Rural Route 1,Box 157, Sullivan, IL 61951 USA. 3363 EM cwagner@uiuc.edu 3364 CR *MRCC, 2006, MRCC MIDW REG CLIM C 3365 *PIT TAG STEER COM, 1999, PIT TAG MARK PROC MA 3366 ANDERSON WG, 1997, N AM J FISH MANAGE, V17, P301 3367 BARAS E, 2000, AQUACULTURE, V185, P159 3368 BOISVERT MJ, 2000, PHYSIOL BEHAV, V71, P147 3369 BRANNAS E, 1994, T AM FISH SOC, V123, P395 3370 BRENDEN TO, 2006, FISHERIES MANAG ECOL, V13, P31 3371 BUZBY K, 1999, N AM J FISH MANAGE, V19, P1147 3372 DARE MR, 2003, N AM J FISH MANAGE, V23, P1015 3373 DOMENICI P, 1997, J EXP BIOL, V200, P1165 3374 DORSEY LG, 2004, J FRESHWATER ECOL, V19, P333 3375 FELDHEIM KA, 2002, J FISH BIOL, V61, P1309 3376 GIBBONS JW, 2004, BIOSCIENCE, V54, P447 3377 GRIES G, 2002, NORTH AM J FISH MANA, V22, P219 3378 HARVEY WD, 1989, PROGR FISH CULTURIST, V51, P164 3379 JENKINS WE, 1990, AM FISH SOC S, V7, P341 3380 JEPSEN N, 2002, HYDROBIOLOGIA, V483, P239 3381 KAPUSCINSKI KL, 2007, ENVIRON BIOL FISH, V79, P27 3382 MARGENAU TL, 1992, N AM J FISH MANAGE, V12, P484 3383 MARGENAU TL, 1999, N AM J FISH MANAGE, V19, P223 3384 MARGENAU TL, 2004, N AM J FISH MANAGE, V24, P82 3385 MCCORMICK MI, 2004, CORAL REEFS, V23, P570 3386 MOORE A, 1992, PROG FISH CULT, V54, P125 3387 NAVARRO A, 2006, AQUACULTURE, V257, P309 3388 NIELSEN LA, 1992, AM FISHERIES SOC SPE, V23 3389 OTIS DL, 1978, WILDLIFE MONOGRAPHS, V62 3390 PARKER SJ, 2003, N AM J FISH MANAGE, V23, P993 3391 PRENTICE EF, 1990, AM FISHERIES SOC S, V7, P317 3392 PRENTICE EP, 1985, STUDY DETERMINE BIOL 3393 PRENTICE EP, 1990, FISHMARKING TECHNIQU, V7, P340 3394 QUINN T, 1978, COPEIA, P542 3395 RICKER WE, 1975, FISHERIES RES BOARD, V191 3396 SCHNICK R, 2006, FISHERIES, V31, P122 3397 SCHWARZ CJ, 1999, CAN J FISH AQUAT SCI, V56, P551 3398 SIGOURNEY DB, 2005, N AM J FISH MANAGE, V25, P1016 3399 SZENDREY TA, 1996, N AM J FISH MANAGE, V16, P395 3400 WAHL DH, 1993, CAN J FISH AQUAT SCI, V50, P1961 3401 WEBB PW, 1980, CAN J ZOOL, V58, P1462 3402 ZYDLEWSKI GB, 2001, J FISH BIOL, V58, P1471 3403 NR 39 3404 TC 0 3405 PU AMER FISHERIES SOC 3406 PI BETHESDA 3407 PA 5410 GROSVENOR LANE SUITE 110, BETHESDA, MD 20814-2199 USA 3408 SN 0275-5947 3409 J9 NORTH AM J FISH MANAGE 3410 JI North Am. J. Fish Manage. 3411 PD AUG 3412 PY 2007 3413 VL 27 3414 IS 3 3415 BP 873 3416 EP 877 3417 PG 5 3418 SC Fisheries 3419 GA 206BM 3420 UT ISI:000249158900015 3421 ER 3422 3423 PT J 3424 AU Giurco, D 3425 Petrie, JG 3426 AF Giurco, D. 3427 Petrie, J. G. 3428 TI Strategies for reducing the carbon footprint of copper: New 3429 technologies, more recycling or demand management? 3430 SO MINERALS ENGINEERING 3431 LA English 3432 DT Article 3433 DE environmental; modelling; mining; mineral processing; recycling 3434 ID SUSTAINABILITY; FOCUS 3435 AB Existing approaches to reducing environmental impacts along the metal 3436 production and consumption chain are focused largely at the plant scale 3437 for primary production, rather than considering the whole metal cycle. 3438 As such, many opportunities for systemic improvements are overlooked. 3439 This paper develops an approach to designing preferred futures for 3440 entire metal cycles that deliver reduced carbon footprints. Dynamic 3441 material flow models in Visual Basic((R)) are used to provide 3442 life-cycle-impact-assessment indicators, which help identify key 3443 intervention points along the metal cycle. This analysis also 3444 identifies which actors or agents along the value chain are responsible 3445 for, or can influence, behaviour which affects environmental 3446 performance. With this information, it is possible to evaluate 3447 different scenarios for transition paths to achieve reduced impact. 3448 These scenarios consider combinations of new technology, increased 3449 metal recycling and demand management strategies. A case study for the 3450 copper cycle in the USA shows that to meet a CO2 reduction target of 3451 60% by 2050, innovative technologies for primary processing of mined 3452 ore will play a limited role, due to their increasing impacts in the 3453 future associated with mining ever lower ore grades. To compensate for 3454 this whilst meeting demand projections, recycling of old scrap would be 3455 required to increase from 18% to 80%, requiring extensive collaboration 3456 between primary and secondary producers. An alternate scenario which 3457 focuses on demand reduction for copper by 1% per year, meets the CO2 3458 target whilst only requiring an increase in the recycling rate from 18% 3459 to 36%. Together, these suggest that there is merit in examining the 3460 'metal-in-use' stage of the metal value chain more closely in order to 3461 achieve targeted reductions in CO2. The approach also highlights the 3462 inherent trade-offs between different aspects of environmental 3463 performance which are required when pursuing CO2 reduction targets. (c) 3464 2007 Published by Elsevier Ltd. 3465 C1 Univ Technol Sydney, Inst Sustainable Futures, Broadway, NSW 2007, Australia. 3466 Univ Sydney, Sch Chem & Biomol Engn, Sydney, NSW 2006, Australia. 3467 Univ Cape Town, Dept Chem Engn, ZA-7925 Cape Town, South Africa. 3468 RP Giurco, D, Univ Technol Sydney, Inst Sustainable Futures, POB 123, 3469 Broadway, NSW 2007, Australia. 3470 EM Damien.Giurco@uts.edu.au 3471 CR *AMIRA INT LTD, 2004, COPP TECHN ROADM 3472 *CDP, 2006, CARB DISCL PROJ 3473 *MMDS, 2002, BREAK NEW GROUND MIN 3474 *OECD, 2001, SUST DEV CRIT ISS OR 3475 AYRES R, 2001, LIFE CYCLE COPPER IT 3476 AZAPAGIC A, 2004, SUSTAINABLE DEV PRAC 3477 BINSWANGER M, 2001, ECOL ECON, V36, P119 3478 BISWAS A, 1994, EXTRACTIVE METALLURG 3479 BRIDGE G, 2004, ANNU REV ENV RESOUR, V29, P205 3480 COWELL SJ, 1999, RESOUR POLICY, V25, P277 3481 EDELSTEIN D, 2001, COPPER MINERAL COMMO 3482 GAINES L, 1980, W31109ENG38 US DEP E 3483 GIURCO D, 2001, DECISION MAKING SUPP 3484 GIURCO D, 2005, THESIS U SYDNEY 3485 GORDON RB, 2003, RESOUR CONSERV RECY, V39, P107 3486 GRAEDEL TE, 2004, ENVIRON SCI TECHNOL, V38, P1242 3487 HENSTOCK M, 1996, RECYCLING NONFERROUS 3488 PETRIE J, 2006, CLEAN TECHNOLOGIES E, V9, P133 3489 PETRIE J, 2007, PROCESS SAF ENVIRON, V85, P88 3490 RESKIN E, 2000, J IND ECOL, V3, P19 3491 REUTER MA, 1998, MINER ENG, V11, P891 3492 STEWART M, 2005, INT J LIFE CYCLE ASS, V10, P240 3493 VANDEVENTER JSJ, 2003, INT MINERAL PROCESSI, V22, P23 3494 VANSCHAIK A, 2004, MINER ENG, V17, P331 3495 VANSCHAIK A, 2004, RESOUR CONSERV RECY, V40, P301 3496 VERHOEF EV, 2004, J IND ECOL, V8, P23 3497 WARHURST A, 2000, RESOUR POLICY, V26, P91 3498 WILLARD B, 2005, NEXT SUSTAINABILITY 3499 WRISBERG N, 2002, ECOEFFICIENT IND SCI, V10 3500 ZELTNER C, 1999, REG ENVIRON CHANGE, V1, P31 3501 NR 30 3502 TC 0 3503 PU PERGAMON-ELSEVIER SCIENCE LTD 3504 PI OXFORD 3505 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 3506 SN 0892-6875 3507 J9 MINER ENG 3508 JI Miner. Eng. 3509 PD AUG 3510 PY 2007 3511 VL 20 3512 IS 9 3513 BP 842 3514 EP 853 3515 PG 12 3516 SC Engineering, Chemical; Mineralogy; Mining & Mineral Processing 3517 GA 204NM 3518 UT ISI:000249051000004 3519 ER 3520 3521 PT J 3522 AU Child, JT 3523 Shumate, M 3524 AF Child, Jeffrey T. 3525 Shumate, Michelle 3526 TI The impact of communal knowledge repositories and people-based 3527 knowledge management on perceptions of team effectiveness 3528 SO MANAGEMENT COMMUNICATION QUARTERLY 3529 LA English 3530 DT Article 3531 DE knowledge management; perceived team effectiveness; intranet repository 3532 use; remote work; transactive memory theory 3533 ID TRANSACTIVE MEMORY-SYSTEMS; ORGANIZATIONAL INFORMATION COMMONS; 3534 PROFESSIONAL SERVICE FIRMS; SOCIAL-INFLUENCE; RELATIONAL VIEW; 3535 COMMUNICATION; TECHNOLOGY; PERFORMANCE; RETRIEVAL; MODEL 3536 AB Managers have increasingly implemented knowledge databases and 3537 knowledge-sharing training to improve team effectiveness. The authors 3538 examine whether intranet-based repository use and perception of 3539 accurate team knowledge of who knows what were related to perceived 3540 team effectiveness. They found that the perception that one's team had 3541 accurate who-knows-what knowledge is positively related to perceived 3542 team effectiveness. Repository use is not positively related to 3543 perceived team effectiveness. Remote work and tenure are not 3544 significant moderators of these relationships. These findings imply 3545 that perception of an accurate cognitive map of who knows what is more 3546 important to perceived team effectiveness than accessing information 3547 from repositories, regardless of remote work status or organizational 3548 tenure. 3549 C1 N Dakota State Univ, Dept Commun, Grand Forks, ND 58202 USA. 3550 Univ Illinois Urbana Champaign, Dept Speech Commun, Urbana, IL 61801 USA. 3551 RP Child, JT, N Dakota State Univ, Dept Commun, Grand Forks, ND 58202 USA. 3552 EM shumate@uiuc.edu 3553 CR *INT TEL ASS COUNC, 2004, WORK HOM GROWS PAST 3554 ALBRIGHT KS, 2004, INF MANAGE J, V38, P38 3555 ALVESSON M, 2002, MANAGEMENT COMMUNICA, V16, P282 3556 AUSTIN JR, 2003, J APPL PSYCHOL, V88, P866 3557 BADARACCO JL, 1991, KNOWLEDGE LINK HOW F 3558 BEGBIE R, 2002, J DATABASE MANAGE, V9, P325 3559 BLACKLER F, 1995, ORGAN STUD, V16, P1021 3560 BORGATTI SP, 2003, MANAGE SCI, V49, P432 3561 BROWN KG, 2001, PERS PSYCHOL, V54, P271 3562 CABRERA A, 2002, ORGAN STUD, V23, P687 3563 COMPEAU DR, 1995, MIS QUART, V19, P189 3564 CONTRACTOR NS, 2002, MANAGEMENT COMMUNICA, V16, P249 3565 DEMAREST M, 1997, MANAGEMENT COMMUNICA, V16, P374 3566 DEVINE DJ, 1999, SMALL GR RES, V30, P678 3567 DYER JH, 1998, ACAD MANAGE REV, V23, P660 3568 EMPSON L, 2001, HUM RELAT, V54, P839 3569 FLANAGIN A, 2002, MANAGEMENT COMMUNICA, V16, P242 3570 FLOOD PC, 2000, EUROPEAN J WORK ORG, V9, P401 3571 FULK J, 1993, ACAD MANAGE J, V36, P921 3572 FULK J, 2004, ORGAN SCI, V15, P569 3573 FULK T, 1996, COMMUN THEOR, V6, P60 3574 GEISTMARTIN P, 2003, HDB HLTH COMMUNICATI, P423 3575 GRAY PH, 2004, MANAGE SCI, V50, P821 3576 HARDIN R, 1982, COLLECTIVE ACTION BA 3577 HAYWOOD R, 1999, IIE SOLUTIONS, V31, P47 3578 HAZLETT SA, 2005, J MANAGE INQUIRY, V14, P31 3579 HEATON L, 2002, MANAGEMENT COMMUNICA, V16, P210 3580 HINDS PJ, 1999, J EXP PSYCHOL-APPL, V5, P205 3581 HOLLINGSHEAD AB, 1998, J EXP SOC PSYCHOL, V34, P423 3582 HOLLINGSHEAD AB, 1998, J PERS SOC PSYCHOL, V74, P659 3583 HOLLINGSHEAD AB, 2002, DISTRIBUTED WORK, P335 3584 HOLLINGSHEAD AB, 2003, HUM COMMUN RES, V29, P607 3585 IVERSON JO, 2002, MANAGEMENT COMMUNICA, V16, P259 3586 KIRKMAN BL, 2005, J MANAGE, V31, P700 3587 KUHN T, 2002, MANAGEMENT COMMUNICA, V16, P106 3588 LAI VS, 2001, COMMUN ACM, V44, P95 3589 LEWIS K, 2004, MANAGE SCI, V50, P1519 3590 LIEDTKA JM, 1997, SLOAN MANAGE REV, V39, P47 3591 LOWENDAHL BR, 2001, HUM RELAT, V54, P911 3592 MARUPING LA, 2004, J APPL PSYCHOL, V89, P975 3593 MCPHEE RD, 2002, MANAGEMENT COMMUNICA, V16, P274 3594 MORELAND RL, 1996, WHATS SOCIAL SOCIAL, P57 3595 MORELAND RL, 1999, SHARED COGNITION ORG, P3 3596 MURGOLOPOORE ME, 2003, PUBLIC RELAT REV, V29, P171 3597 NONAKA I, 1994, ORGAN SCI, V5, P14 3598 PALAZZOLO ET, 2005, COMMUN RES, V32, P726 3599 PALAZZOLO ET, 2006, COMMUN THEOR, V16, P223 3600 PEISER W, 2000, J COMMUN, V50, P25 3601 PODSAKOFF PM, 2003, J APPL PSYCHOL, V88, P879 3602 POLLOCK TG, 2000, HUM COMMUN RES, V26, P292 3603 RAGHURAM S, 2001, J MANAGE, V27, P383 3604 SCHMITZ J, 1991, COMMUN RES, V18, P487 3605 SIAS PM, 1998, WESTERN J COMM, V62, P273 3606 SWAN J, 1999, J KNOWLEDGE MANAGEME, V3, P262 3607 TABACHNICK BG, 2001, USING MULTIVARIATE S 3608 TRETHEWEY A, 2001, MANAGEMENT COMMUNICA, V14, P619 3609 VAAST E, 2004, MANAGEMENT COMMUNICA, V18, P5 3610 VAILL PB, 1996, LEARNING WAY BEING S 3611 WALSHAM G, 2002, MANAGEMENT COMMUNICA, V16, P267 3612 WEGNER DM, 1987, THEORIES GROUP BEHAV, P185 3613 WEGNER DM, 1995, SOC COGNITION, V13, P319 3614 YEN DC, 2001, INFORMATION MANAGEME, V9, P80 3615 YUAN Y, 2005, HUM COMMUN RES, V31, P212 3616 ZHOU A, 2003, J INTELLECTUAL CAPIT, V4, P34 3617 ZORN TE, 2004, KEY ISSUES ORG COMMU, P96 3618 NR 65 3619 TC 0 3620 PU SAGE PUBLICATIONS INC 3621 PI THOUSAND OAKS 3622 PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA 3623 SN 0893-3189 3624 J9 MANAG COMMUN Q 3625 JI Manag. Commun. Q. 3626 PD AUG 3627 PY 2007 3628 VL 21 3629 IS 1 3630 BP 29 3631 EP 54 3632 PG 26 3633 SC Communication; Management 3634 GA 193YY 3635 UT ISI:000248312300002 3636 ER 3637 3638 PT J 3639 AU Stafford, KJ 3640 Kenyon, PR 3641 Morris, ST 3642 AF Stafford, K. J. 3643 Kenyon, P. R. 3644 Morris, S. T. 3645 TI The physical state and metabolic status of lambs of different birth 3646 rank soon after birth 3647 SO LIVESTOCK SCIENCE 3648 LA English 3649 DT Article 3650 DE triplet; quadruplets; twin; lambs; rectal temperature; glucose; 3651 fructose; lactate; thyroxine; birthweight 3652 ID LATE-PREGNANCY; SWARD HEIGHT; LITTER SIZE; EWE; BEHAVIOR; PERFORMANCE; 3653 SURVIVAL; WEIGHT; BREED; TWIN 3654 AB This study investigated the physical state and metabolic status of 3655 lambs of different birth ranks soon after birth. The aim was to 3656 identify the factors that result in poorer survival rates in triplet 3657 than single or twin lambs. Six hundred and twenty one Romney ewes were 3658 mated over a 4-day period and 46 of them were observed continually from 3659 day 143 of pregnancy until they finished lambing. Blood samples, taken 3660 from all lambs within 5 min of birth, were placed on ice, centrifuged 3661 and the plasma harvested and subsequently analysed for glucose, 3662 fructose, lactate, thyroxine (T4) and gamma-glutamyl transferase (GGT). 3663 The rectal temperature of each lamb was recorded at birth and at 1, 2, 3664 3 and 6 h of life. Lambs were weighed and measured at 3 h of age. 3665 At birth, triplet lambs were significantly lighter (P<0.05) and had 3666 lower (P<0.05) plasma fructose and thyroxine than twin and single 3667 lambs, higher (P<0.05) lactate concentrations and a lower rectal 3668 temperature (P<0.05) than twin lambs. These observations suggest that 3669 they are subject to placental insufficiency. The packed cell volume was 3670 significantly (P<0.001) higher in twin than triplet lambs. The order at 3671 birth of twin or triplet lambs had no effect on birthweight or plasma 3672 metabolite concentrations. The smallest triplet was significantly 3673 lighter (P<0.05) and had higher plasma lactate (P<0.05) concentration 3674 than the largest triplet. 3675 These physiological limitations found in smaller triplet lambs at birth 3676 leave them prone to perinatal mortality. Management techniques, to 3677 increase triplet lamb birthweight and thereby improve their survival 3678 outcome need further investigation. (c) 2007 Elsevier B.V. All rights 3679 reserved. 3680 C1 Massey Univ, Inst Vet Anim & Biomed Sci, Palmerston North, New Zealand. 3681 RP Stafford, KJ, Massey Univ, Inst Vet Anim & Biomed Sci, Private Bag 3682 11222, Palmerston North, New Zealand. 3683 EM k.j.staff6rd@masseyac.nz 3684 CR *MIN INC, 2002, MIN VERS 12 1 3685 ALEXANDER G, 1979, ENV PHYSL, V20, P43 3686 BARLOW RM, 1987, VET REC, V120, P357 3687 BUDGE H, 2000, PEDIATR RES, V47, P781 3688 DALTON DC, 1980, NZ J AGR RES, V23, P167 3689 DANIELS LB, 1974, J DAIRY SCI, V57, P1196 3690 DWYER CM, 2003, BRIT J NUTR, V89, P123 3691 DWYER CM, 2005, THERIOGENOLOGY, V63, P1092 3692 DWYER CM, 2006, J ANIM SCI, V84, P1093 3693 EGAN JK, 1972, AUSTR J EXPT AGR ANI, V12, P470 3694 EVERETTHINCKS JM, 2005, LIVEST PROD SCI, V93, P51 3695 EVERETTHINCKS JM, 2005, LIVEST PROD SCI, V97, P253 3696 KENYON PR, IN PRESS LIVESTOCK S 3697 KENYON PR, 2001, J EXPT AGR, V46, P821 3698 KENYON PR, 2005, NEW ZEAL VET J, V53, P336 3699 MCCUTCHEON SN, 1981, P NZ SOC ANIMAL PROD, V41, P209 3700 MELLOR DJ, 2004, VET J, V168, P118 3701 MOORE RW, 1986, P NZ SOC ANIMAL PROD, V46, P259 3702 MORRIS ST, 2004, NEW ZEAL J AGR RES, V47, P275 3703 THOMPSON BC, 2004, P NZ GRASSLANDS ASS, V66, P233 3704 NR 20 3705 TC 0 3706 PU ELSEVIER SCIENCE BV 3707 PI AMSTERDAM 3708 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 3709 SN 1871-1413 3710 J9 LIVEST SCI 3711 JI Livest. Sci. 3712 PD AUG 3713 PY 2007 3714 VL 111 3715 IS 1-2 3716 BP 10 3717 EP 15 3718 PG 6 3719 SC Agriculture, Dairy & Animal Science 3720 GA 207DZ 3721 UT ISI:000249233100002 3722 ER 3723 3724 PT J 3725 AU Nadeau, E 3726 Englund, JE 3727 Gustafsson, AH 3728 AF Nadeau, Elisabet 3729 Englund, Jan-Eric 3730 Gustafsson, Anders H. 3731 TI Nitrogen efficiency of dairy cows as affected by diet and milk yield 3732 SO LIVESTOCK SCIENCE 3733 LA English 3734 DT Article 3735 DE crude protein; feed intake; milk yield; nitrogen efficiency 3736 ID CRUDE PROTEIN-LEVEL; GRASS-SILAGE DIETS; MANAGEMENT-PRACTICES; AMMONIA; 3737 SUPPLEMENTATION; PERFORMANCE; LACTATION; UREA; DEGRADABILITY; EMISSION 3738 AB The aim of this study, which was part of the EU-financed project Life 3739 Ammonia, was to evaluate the effects of dietary components and milk 3740 production on nitrogen efficiency of dairy cows. The study included 3741 examining the effects of decreased crude protein (CP) concentration in 3742 a grass-clover silage based diet and results of mixing whole-crop 3743 barley silage (WCBS) with grass-clover silage in the diet, on feed 3744 intake, milk production and nitrogen efficiency. Rations were 3745 formulated and milk production data were registered individually each 3746 month for 42 cows of the Swedish Red Cattle breed during four indoor 3747 periods from 1999 to 2003. The range in nitrogen efficiency by the 3748 cows, 11 to 398 days in milk, was 18 to 40%, when fed a diet containing 3749 135 to 184 g CP/kg DM, 44 to 56% of NDF as rumen degradable fibre (RDF) 3750 and milking 13 to 57 kg of ECM daily. The average CP concentration of 3751 the diet, containing mainly grass-clover silage and concentrate, was 3752 decreased from 168 g/kg DM (170 g in early lactation) in the control 3753 treatment period to 160 g/kg DM (163 g in early lactation) during the 3754 following treatment period. The CP concentration was 170 g/kg DM (171 g 3755 in early lactation) during the third treatment period, when the 3756 grass-clover silage was fed in a mixture with WCBS. Using the whole 3757 data set (n=284 for primiparous, n=440 for multiparous cows based on 3758 measurements each month) resulted in models, in which total DM intake, 3759 ECM yield, dietary CP concentration and RDF were the most important 3760 factors affecting nitrogen utilisation of primiparous and multiparous 3761 cows. Increases in both average DM intake and milk yield by multiparous 3762 cows and no changes in average intake and milk yield by primiparous 3763 cows fed the low CP diet or the normal CP diet containing WCBS, 3764 compared to cows fed the normal CP diet, resulted in similar nitrogen 3765 efficiencies among the treatments. Hence, dietary CP concentrations of 3766 160 to 170 g/kg DM can be used for cows in early lactation in 3767 commercial herds to improve nitrogen utilisation without causing a 3768 simultaneous decrease in milk yield. (c) 2006 Elsevier B.V. All rights 3769 reserved. 3770 C1 Swedish Univ Agr Sci, Dept Anim Environm & Hlth, SE-53223 Skara, Sweden. 3771 Swedish Univ Agr Sci, Div Stat, Dept Landscape Management & Hort Technol, SE-23053 Alnarp, Sweden. 3772 Swedish Dairy Assoc, SE-10124 Stockholm, Sweden. 3773 RP Nadeau, E, Swedish Univ Agr Sci, Dept Anim Environm & Hlth, Box 234, 3774 SE-53223 Skara, Sweden. 3775 EM elisabet.nadeau@hmh.slu.se 3776 CR *JORDBR, 1997, FORSL ATG ATT RED AM, V16 3777 *SAS, 2001, US GUID 3778 AMAN P, 1984, SWED J AGR RES, V14, P135 3779 ANDERSSON R, 1983, Z LEBENSM UNTERS FOR, V176, P140 3780 AXELSON J, 1941, ZUCHTUNGSKUNDE, V16, P337 3781 BORSTING CF, 2003, LIVEST PROD SCI, V83, P165 3782 BRODERICK GA, 2003, J DAIRY SCI, V86, P1370 3783 CASTILLO AR, 2001, J ANIM SCI, V79, P240 3784 CASTILLO AR, 2001, J ANIM SCI, V79, P247 3785 COLMENERO O, 2006, J DAIRY SCI, V89, P1694 3786 COLMENERO O, 2006, J DAIRY SCI, V89, P1704 3787 EKELUND S, 1966, MEDDELANDE 3788 FLIS SA, 2005, J DAIRY SCI, V88, P2096 3789 FRANK B, 2002, J DAIRY SCI, V85, P1829 3790 FRANK B, 2002, LIVEST PROD SCI, V76, P171 3791 GOERING HK, 1970, AGR HDB USDA, V379, P1 3792 GROFF EB, 2005, J DAIRY SCI, V88, P3619 3793 GUSTAFSSON AH, 1993, J DAIRY SCI, V76, P475 3794 GUSTAFSSON AH, 2000, P ANN AN HLTH FEED C, P37 3795 HRISTOV AN, 2004, J ANIM SCI, V82, P3219 3796 IPHARRAGUERRE IR, 2005, J DAIRY SCI, V88, P2556 3797 JONKER JS, 2002, J DAIRY SCI, V85, P1218 3798 KALSCHEUR KF, 1999, J DAIRY SCI, V82, P545 3799 KEBREAB E, 2000, J DAIRY SCI, V83, P1274 3800 LEONARDI C, 2003, J DAIRY SCI, V86, P4033 3801 LINDGREN E, 1979, NUTR VALUE ROUGHAGES, V45 3802 MADSEN J, 1995, NOR J AGR SCI S, V19, P5 3803 MCCORMICK ME, 1999, J DAIRY SCI, V82, P2697 3804 MCDONALD P, 2002, ANIMAL NUTR 3805 MONTEILS V, 2002, REPROD NUTR DEV, V42, P545 3806 MUCK RE, 1982, J DAIRY SCI, V65, P2157 3807 NADEAU E, 2003, 54 ANN M EUR ASS AN, P152 3808 SJAUNJA LO, 1990, INT COMM REC PROD MI 3809 SPORNDLY R, 2003, FODERTABELLER IDISSL 3810 VANDUINKERKEN G, 2005, J DAIRY SCI, V88, P1099 3811 VANSOEST PJ, 1991, J DAIRY SCI, V74, P3583 3812 WU Z, 2000, J DAIRY SCI, V83, P1042 3813 NR 37 3814 TC 0 3815 PU ELSEVIER SCIENCE BV 3816 PI AMSTERDAM 3817 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 3818 SN 1871-1413 3819 J9 LIVEST SCI 3820 JI Livest. Sci. 3821 PD AUG 3822 PY 2007 3823 VL 111 3824 IS 1-2 3825 BP 45 3826 EP 56 3827 PG 12 3828 SC Agriculture, Dairy & Animal Science 3829 GA 207DZ 3830 UT ISI:000249233100006 3831 ER 3832 3833 PT J 3834 AU Evans, JR 3835 Sperow, M 3836 D'Souza, GE 3837 Rayburn, EB 3838 AF Evans, Jason R. 3839 Sperow, Mark 3840 D'Souza, Gerard E. 3841 Rayburn, Edward B. 3842 TI Stochastic simulation of pasture-raised beef production systems and 3843 implications for the Appalachian cow-calf sector 3844 SO JOURNAL OF SUSTAINABLE AGRICULTURE 3845 LA English 3846 DT Article 3847 DE economic development; pasture-raised beef; stochastic; budgeting 3848 ID FATTY-ACID-COMPOSITION; INTRAMUSCULAR FAT; LONGISSIMUS; QUALITY; 3849 HEIFERS; STEERS; MUSCLE 3850 AB Cow-calf enterprises provide significant opportunity for supplemental 3851 income to small-scale farmers in Appalachia, despite considerable 3852 production and economic uncertainty. To assess the viability of 3853 pasture-raised beef systems as alternatives to conventional production 3854 and marketing paradigms, stochastic budgets representative of several 3855 hypothetical producers of each type were constructed and evaluated via 3856 Monte Carlo techniques in terms of relative profitability and risk. 3857 Statistical distributions were utilized to capture seasonal variability 3858 in output prices, pasture availability and animal performance. Results 3859 suggest that the intensive pasture and animal management required for 3860 pastureraised production yield greater profit and less economic risk 3861 than conventional strateoies. 3862 C1 W Virginia Univ, Davis Coll Agr Forestry & Consumer Sci, Div Resource Management, Morgantown, WV 26505 USA. 3863 RP Evans, JR, W Virginia Univ, Davis Coll Agr Forestry & Consumer Sci, Div 3864 Resource Management, Agr Sci Bldg,POB 6108, Morgantown, WV 26505 USA. 3865 EM jevansl7@mix.wvu.edu 3866 mark.spcrow@mail.wvu.edu 3867 gdsouza@wvu.edu 3868 eraybum@wvu.edu 3869 CR *AM ANG ASS, 2005, PERF PROGR EPD 3870 *NAT RES COUNC, 2003, AIR EM AN FEED OPER 3871 *USDA, 1997, ATTR SMALL LARG FARM 3872 *USDA, 2002, 2002 CENS AGR US W V 3873 *USDA, 2003, COMP AV RET PRIC SEL 3874 BOCK BS, 1991, STOCKER CATTLE MANAG 3875 BRUCE HL, 2004, MEAT SCI, V67, P261 3876 CASAS EJ, 2003, ANIMAL GENETICS, V35, P2 3877 ENSER M, 1998, MEAT SCI, V49, P329 3878 EVANS J, 2004, THESIS W VIRGINIA U 3879 FALK C, 1994, J FOOD DISTRIBUTION, V25, P39 3880 FRENCH P, 2000, J ANIM SCI, V78, P2849 3881 GREENCE C, 2001, ADOPTION CERTIFIED S 3882 HARDAKER JB, 1998, COPING RISK AGR 3883 KAWAAI M, 2001, FREEDOM TRADE TRADIN 3884 KOWALENKO B, 1909, GRAZING GAZETTE, V7 3885 MARTZ F, 2000, PASTURE BASED FINISH 3886 MCKINNON B, 2000, GETTING STARTED CATT 3887 NOCI F, 2005, J ANIM SCI, V83, P1167 3888 PEACOCK K, 1995, J FOOD DISTRIBUTION, V26, P2 3889 PURCHAS RW, 2005, MEAT SCI, V70, P597 3890 RAYBURN E, 1997, ORCHARDGRASS TALLFES 3891 REALINI CE, 2004, MEAT SCI, V66, P567 3892 RITCHIE H, 1994, REV APPL BEEF CATTLE 3893 SAPP P, EVALUATION PERFORMAN, P96 3894 SIMMONNE AH, 1996, J FOOD SCI, V61, P1254 3895 THOMAS M, 2004, P ASAS ANN M ST LOUI 3896 VANTASSEL L, 1998, RETAINED OWNERSHIP B 3897 VARELA A, 2004, MEAT SCI, V67, P515 3898 WERTH LA, 1991, J ANIM SCI, V69, P4710 3899 YOHN C, 2000, NUTR VALUE ROTATIONA 3900 NR 31 3901 TC 0 3902 PU HAWORTH PRESS INC 3903 PI BINGHAMTON 3904 PA 10 ALICE ST, BINGHAMTON, NY 13904-1580 USA 3905 SN 1044-0046 3906 J9 J SUSTAINABLE AGR 3907 JI J. Sustain. Agric. 3908 PY 2007 3909 VL 30 3910 IS 4 3911 BP 27 3912 EP 51 3913 PG 25 3914 SC Agriculture, Multidisciplinary 3915 GA 207YL 3916 UT ISI:000249286900003 3917 ER 3918 3919 PT J 3920 AU Ghosh, A 3921 AF Ghosh, A. 3922 TI Integrated nitrogen and phosphorus management in rice under flood-prone 3923 lowland situation 3924 SO JOURNAL OF SUSTAINABLE AGRICULTURE 3925 LA English 3926 DT Article 3927 DE integrated N management; nitrogen; phosphorus; flood-prone situation; 3928 crop submergence; rice 3929 ID PERFORMANCE 3930 AB Crop survival as influenced by integrated N management (INM) in rice 3931 variety 'Gayatri' was studied following 10 days of complete submergence 3932 at maximum tillering stage during 2003 and 2004 in the Central Rice 3933 Research Institute, Cuttack, India. Organic N sources such as farmyard 3934 manure (FYM) and Sesbania aculeate were included in INM along with 3935 fertilizers N and P. Crops with the combined organics of FYM and 3936 Sesbania survived better after submergence, which was attributed to 3937 higher biomass production, less tiller mortality, greater root 3938 development, and higher critical N content in leaf, as compared with 3939 other treatments. These crops produced significantly higher grain yield 3940 (2.97 and 3.09 t ha(-1) in 2003 and 2004) compared with those with 3941 application of FYM (2.48 and 2.61 t ha-1), use of Sesbania (2.24 and 3942 2.35 t ha- 1) and chemical fertilizer N (1.98 and 2.07 t ha- 1) alone. 3943 In both the years, application of P also led to higher grain yields 3944 (2.40 and 2.52 t ha- 1) compared with no application of P (2.19 and 3945 2.29 t ha- 1). Interaction of INM with P showed that application of P 3946 with the combined organics increased grain yield by 13.1-13.7%, 3947 followed by that with FYM (10.16-12.2%), Sesbania (8.37-8.89%), and 3948 fertilizer N (7.338.04%). In both the years, greater nutrient 3949 utilization as evidenced by N use efficiency (29.2 and 29.7 kg grain 3950 per kg N ha- 1), N uptake (54.0 and 57.0 kg ha- 1), and N recovery 3951 (35.0 and 41.5%) was attributed to the crops with combined organics. P 3952 use efficiency (10.5 and 11.5 kg grain per kg P ha(-1)), P uptake (14.9 3953 and 16.5 kg ha-1), and P recovery (28.5 and 31.5%) were higher in the 3954 treatments with applied P. Thus the study revealed that application of 3955 both FYM and Sesbania in combination with fertilizers N and P in rice 3956 improved crop growth resulting in increased grain yield and nutrient 3957 utilization in flood-prone situations.,Therefore, it is recommended to 3958 follow INM that included FYM and Sesbania in combination with both 3959 fertilizers N and P in rice cultivation for increasing grain yield in 3960 flood-prone lowland situations. 3961 C1 Cent Rice Res Inst, Div Agron, Cuttack 753006, Orissa, India. 3962 RP Ghosh, A, Cent Rice Res Inst, Div Agron, Cuttack 753006, Orissa, India. 3963 EM riceghosh@yahoo.com 3964 CR CHATURVEDI GS, 1996, PHYSL STRESS TOLERAN, P103 3965 GAUR AC, 1984, ORGANIC NATURE 3966 GHOSH A, 1999, J AGR SCI 4, V132, P461 3967 GHOSH A, 2002, P 2 INT AGR C SUST A, P1 3968 REDDY MD, 1991, J AGR SCI, V17, P319 3969 SETTER TL, 1989, AUSTR J PLANT PHYSL, V16, P252 3970 SHARMA AR, 1995, INDIAN J AGR SCI, V65, P399 3971 SHARMA AR, 1999, FIELD CROP RES, V63, P187 3972 SUZUKI A, 1997, FERTILIZATION RICE J, P36 3973 NR 9 3974 TC 0 3975 PU HAWORTH PRESS INC 3976 PI BINGHAMTON 3977 PA 10 ALICE ST, BINGHAMTON, NY 13904-1580 USA 3978 SN 1044-0046 3979 J9 J SUSTAINABLE AGR 3980 JI J. Sustain. Agric. 3981 PY 2007 3982 VL 30 3983 IS 4 3984 BP 157 3985 EP 168 3986 PG 12 3987 SC Agriculture, Multidisciplinary 3988 GA 207YL 3989 UT ISI:000249286900011 3990 ER 3991 3992 PT J 3993 AU Powell, GE 3994 Ward, AD 3995 Mecklenburg, DE 3996 Jayakaran, AD 3997 AF Powell, G. E. 3998 Ward, A. D. 3999 Mecklenburg, D. E. 4000 Jayakaran, A. D. 4001 TI Two-stage channel systems: Part 1, a practical approach for sizing 4002 agricultural ditches 4003 SO JOURNAL OF SOIL AND WATER CONSERVATION 4004 LA English 4005 DT Article 4006 DE bankfull; best management practice; drainage; floodplain; geomorphology 4007 ID STREAM; RESTORATION; POLLUTION; ILLINOIS; RIVERS; OHIO 4008 AB Outlined is a practical approach to size and modify agricultural 4009 drainage channels to two-stage geometry to maintain drainage function 4010 and capacity while increasing channel stability. Two-stage channel 4011 systems consist of an inset channel and small floodplain (benches) 4012 within the ditch confines. The two-stage channel sizing procedure 4013 includes nine steps: (1) project identifications (2) data collection; 4014 (3) data analysis; (4) hydrologic evaltiation: (5) conceptual channel 4015 system sizing; (6) project assessment; (7) design and/or final sizing: 4016 (8) construction; and (9) monitoring and assessment of performance. 4017 Channel width and depth dimensions are determined based on a 4018 weight-of-evidence approach that considers geomorphology measurements 4019 at the project site and throughout the watershed. The authors inhave 4020 developed spreadsheet tools to aid in evaluating the geornorphology of 4021 one and twosta stage channels. Constructing a two-stage channel 4022 requires more excavation than traditional ditch maintenance, but 4023 benefits include improved conveyance capacity, a channel geometry that 4024 will be more self-sustaining. and improvement to in-stream habitat. 4025 C1 Ohio State Univ, Dept Food Agr & Biol Engn, Columbus, OH 43210 USA. 4026 Ohio Dept Nat Resources, Soil & Water Conservat Div, Columbus, OH USA. 4027 Clemson Univ, Georgetown, SC USA. 4028 RP Powell, GE, Ohio State Univ, Dept Food Agr & Biol Engn, Columbus, OH 4029 43210 USA. 4030 CR *OHIO ENV PROT AG, 1987, BIOL CRIT PROT AQ LI 4031 *USEPA, 2002, BIOL ASS CRIT CRUC C 4032 BARLING RD, 1994, ENVIRON MANAGE, V18, P543 4033 CROWDER DW, 2005, GEOMORPHOLOGY, V64, P167 4034 DOSSKEY MG, 2001, ENVIRON MANAGE, V28, P577 4035 FAUSEY NR, 1982, T ASAE, V25, P997 4036 HARRELSON CC, 1994, ILLUSTRATED GUIDE FI 4037 JAYAKARAN AD, 2005, INT AGR ENG J, V14, P193 4038 JAYAKARAN AD, 2007, J SOIL WATER CONSERV, V62, P296 4039 KARR JR, 1981, FISHERIES, V6, P21 4040 KNIGHTON D, 1998, FLUVIAL FORMS PROCES 4041 KOLTUN GF, 1990, 894126 WAT RES INV 4042 LANDWEHR K, 2003, RIVER RES APPL, V19, P77 4043 LEOPOLD LB, 1953, US GEOLOGICAL SURVEY 4044 MONTGOMERY DR, 2002, J AM WATER RESOUR AS, V38, P1 4045 PALMER MA, 2005, J APPL ECOL, V42, P208 4046 POWELL GE, 2006, ASCEEWRI 2006 C P 4047 POWELL GE, 2006, T ASABE, V49, P35 4048 POWELL GE, 2007, J SOIL WATER CONSERV, V62, P286 4049 POWELL KL, 2004, THESIS OHIO STATE U 4050 RANKIN ET, 1995, BIOL ASSESSMENT CRIT, P181 4051 ROSEGEN D, 1996, APPL RIVER MORPHOLOG 4052 SHERWOOD JM, 1993, 93135 USGS WAT RES O 4053 SHIELDS FD, 2003, J HYDRAUL ENG-ASCE, V129, P575 4054 SIMON A, 1989, EARTH SURF PROCESSES, V14, P11 4055 SIMON A, 2006, US DEPARTMENT AGR RE 4056 TOMER MD, 2003, J SOIL WATER CONSERV, V58, P198 4057 WARD A, 2003, ENV HYDROLOGY 4058 WILCOCK PR, 2001, EARTH SURF PROC LAND, V26, P1395 4059 WOLMAN MG, 1954, T AM GEOPHYSICAL UNI, V35, P951 4060 NR 30 4061 TC 4 4062 PU SOIL WATER CONSERVATION SOC 4063 PI ANKENY 4064 PA 945 SW ANKENY RD, ANKENY, IA 50023-9723 USA 4065 SN 0022-4561 4066 J9 J SOIL WATER CONSERV 4067 JI J. Soil Water Conserv. 4068 PD JUL-AUG 4069 PY 2007 4070 VL 62 4071 IS 4 4072 BP 277 4073 EP 286 4074 PG 10 4075 SC Ecology; Soil Science; Water Resources 4076 GA 205WA 4077 UT ISI:000249144100022 4078 ER 4079 4080 PT J 4081 AU Salomo, S 4082 Weise, J 4083 Gemunden, HG 4084 AF Salomo, Soeren 4085 Weise, Joachim 4086 Gemuenden, Hans Georg 4087 TI NPD planning activities and innovation performance: The mediating role 4088 of process management and the moderating effect of product 4089 innovativeness 4090 SO JOURNAL OF PRODUCT INNOVATION MANAGEMENT 4091 LA English 4092 DT Article 4093 ID RESEARCH-AND-DEVELOPMENT; CRITICAL SUCCESS FACTORS; FUZZY FRONT-END; 4094 DEVELOPMENT-PROJECTS; TECHNOLOGICAL INNOVATION; MARKET ORIENTATION; 4095 FLEXIBILITY; UNCERTAINTY; IMPACT; MODEL 4096 AB The aim of this study is to investigate the effects of planning and 4097 control on the performance of new product development (NPD) projects. 4098 It is hypothesized that (1) thorough business planning at the beginning 4099 of a project creates a basis for proficient project and risk planning,; 4100 (2) the proficiency of project planning, risk planning, and process 4101 management activities each improves innovation performance directly; 4102 (3) the relationship of planning and success is mediated by process 4103 management; and (4) the strength of these relationships is moderated by 4104 uncertainty, as determined by the degree of innovativeness. To test the 4105 hypotheses, data from 132 NPD projects were collected and analyzed. A 4106 measurement model was used to establish valid and reliable constructs, 4107 a path model to test the main effects, and a multiple-moderated 4108 regression analysis for the moderator hypotheses. The results suggest 4109 that the proficiency of project planning and process management is 4110 important predictors of NPD performance. Specifically, project risk 4111 planning and goal stability throughout the development process are 4112 found to enhance performance significantly. Business planning proves to 4113 be an important antecedent of the more development-related planning 4114 activities such as project planning and risk planning. Additionally, 4115 the results lend support to the hypotheses regarding the mediating role 4116 of process management in the planning-performance relationship. Project 4117 planning and risk planning support the quality of process management 4118 and thus impact NPD performance indirectly. Only to a limited extent 4119 are the strengths of these relationships moderated by the degree of 4120 innovativeness of the NPD project. 4121 C1 Karl Franzens Univ Graz, A-8010 Graz, Austria. 4122 RP Salomo, S, Karl Franzens Univ Graz, Univ Str 15-G3, A-8010 Graz, 4123 Austria. 4124 EM soeren.salonio@uni-graz.at 4125 CR AGUINIS H, 1995, J MANAGE, V21, P1141 4126 AHIRE SL, 2001, IEEE T ENG MANAGE, V48, P319 4127 AIKEN M, 1991, MULTIPLE REGRESSION 4128 ANDERSON JC, 1988, PSYCHOL BULL, V103, P411 4129 ATUAHENEGIMA K, 1995, J PROD INNOVAT MANAG, V12, P275 4130 ATUAHENEGIMA K, 2004, ACAD MANAGE J, V47, P583 4131 BACON G, 1994, CALIF MANAGE REV, V36, P32 4132 BARCZAK G, 2001, EUROPEAN J INNOVATIO, V4, P32 4133 BILLING F, 2003, DYNAMISCHE KOORORDIN 4134 BONNER JM, 2002, J PROD INNOVAT MANAG, V19, P233 4135 BORDLEY RF, 1998, IEEE T ENG MANAGE, V45, P407 4136 BROWN SL, 1995, ACAD MANAGE REV, V20, P343 4137 BROWN SL, 1997, ADMIN SCI QUART, V42, P1 4138 BROWNING TR, 2002, IEEE T ENG MANAGE, V49, P443 4139 BURNS T, 1961, MANAGEMENT INNOVATIO 4140 CHAPMAN RJ, 2001, INT J PROJECT MANAGE, V19, P147 4141 CHESBROUGH H, 2001, TAKING TECHNICAL RIS, P57 4142 CHRISTENSEN CM, 2000, HARVARD BUS REV, V78, P67 4143 CHURCHILL GA, 1979, J MARKETING RES, V16, P64 4144 CLARK KB, 1991, PRODUCT DEV PERFROMA 4145 COOPER R, 2001, R&D MANAGE, V31, P361 4146 COOPER RG, 1990, BUSINESS HORIZON MAY, P44 4147 COOPER RG, 1990, MARK MANAG, V1, P20 4148 COOPER RG, 1995, J PROD INNOVAT MANAG, V12, P374 4149 COVIN JG, 1998, J HIGH TECHNOLOGY MA, V9, P207 4150 DANNEELS E, 2001, J PROD INNOVAT MANAG, V18, P357 4151 DAWES J, 1999, MARKETING B, V10, P65 4152 DESS GG, 1984, STRATEGIC MANAGE J, V5, P265 4153 DOUGHERTY D, 1996, HDB ORG STUDIES, P424 4154 DVIR D, 2003, INT J PROJECT MANAGE, V21, P89 4155 EISENHARDT KM, 1995, ADMIN SCI QUART, V40, P84 4156 FORNELL C, 1981, J MARKETING RES, V18, P39 4157 GALBRAITH JR, 1973, DESIGNING COMPLEX OR 4158 GALBRAITH JR, 1977, ORG DESIGN 4159 GARCIA R, 2002, J PROD INNOVAT 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4226 JI J. Prod. Innov. Manage. 4227 PD JUL 4228 PY 2007 4229 VL 24 4230 IS 4 4231 BP 285 4232 EP 302 4233 PG 18 4234 SC Business; Engineering, Industrial; Management 4235 GA 190UP 4236 UT ISI:000248086400002 4237 ER 4238 4239 PT J 4240 AU Moultrie, J 4241 Clarkson, PJ 4242 Probert, D 4243 AF Moultrie, James 4244 Clarkson, P. John 4245 Probert, David 4246 TI Development of a design audit tool for SMEs 4247 SO JOURNAL OF PRODUCT INNOVATION MANAGEMENT 4248 LA English 4249 DT Article 4250 ID RESEARCH-AND-DEVELOPMENT; PRODUCT DEVELOPMENT PROCESS; SUCCESS FACTORS; 4251 DEVELOPMENT PROJECTS; EMPIRICAL LITERATURE; PERFORMANCE; INNOVATION; 4252 INDUSTRIAL; COMPANIES; FAILURE 4253 AB There is strong evidence of the importance of good design to company 4254 success. However, it is apparent that despite this evidence, design 4255 skills are often marginalized in small and medium-size enterprises 4256 (SMEs). This article presents a design audit tool that captures good 4257 design principles in a form accessible to industry. Previous audit 4258 approaches have focused extensively on the management of new product 4259 development (NPD). In this research, the audit tool is based on process 4260 maturity principles and explicitly targets the design related 4261 activities in NPD-specifically in small firms. The design audit has 4262 been developed iteratively by application in action research mode and 4263 is supported by evidence from literature and exploratory cases. This 4264 inductive development enabled the generation of a robust audit tool 4265 through intervention in small firms to improve design practices. The 4266 resulting audit tool is designed for use in a multifunctional workshop 4267 setting. Typical outputs from application include the generation of 4268 action plans for improvement in future performance. This audit tool is 4269 based around a model of good design that explicitly distinguishes 4270 between management and design related activities in NPD. The audit tool 4271 has succeeded in encouraging managers to pay greater attention to the 4272 design related elements of NPD. This complements the satisfaction of 4273 managerial goals typically emphasized in many NPD processes. 4274 C1 Univ Cambridge, Inst Mfg, Cambridge CB2 1RX, England. 4275 RP Moultrie, J, Univ Cambridge, Inst Mfg, Mill Lane, Cambridge CB2 1RX, 4276 England. 4277 EM jm329@eng.cam.ac.uk 4278 CR BACKHOUSE CJ, 1997, CONCURRENT ENG WHATS 4279 BAKER NR, 1986, RES MANAGE, V29, P29 4280 BALACHANDRA R, 1997, IEEE T ENG MANAGE, V44, P276 4281 BALBONTIN A, 1999, INT J TECHNOL MANAGE, V17, P259 4282 BARCLAY I, 1992, R&D MANAGE, V22, P255 4283 BLACK CD, 1987, DESIGN STUDIES, V8, P207 4284 BLESSING L, 1995, INT C ENG DES PRAG A 4285 BOOZ A, 1968, MANAGEMENT NEW PRODU 4286 BROWN K, 2003, DESIGN MANAGEMENT J, V2, P72 4287 BRUCE M, 1985, DES STUD, V6, P34 4288 BRUCE M, 1999, DES STUD, V20, P297 4289 BURNSTEIN I, 1998, J DEFENCE SOFTWA NOV 4290 CAFFYN S, 1997, R&D MANAGE, V27, P253 4291 CANEZ L, 2000, THESIS U CAMBRIDGE U 4292 CHEE MY, 1994, J PROD INNOVAT MANAG, V11, P418 4293 CHIESA V, 1996, J PROD INNOVAT MANAG, V13, P105 4294 CONSTANDSE WJ, 1971, BUSINESS MANAGEM JUN, P163 4295 COOPER R, 1995, DESIGN AGENDA GUIDE 4296 COOPER RG, 1979, IND MARKET MANAG, V8, P124 4297 COOPER RG, 1984, J PROD INNOVAT MANAG, V1, P5 4298 COOPER RG, 1988, IND MARKET MANAG, V17, P237 4299 COOPER RG, 1993, WINNING NEW PRODUCTS 4300 COOPER RG, 1996, RES TECHNOL MANAGE, V39, P18 4301 COOPER RG, 1999, J PROD INNOVAT MANAG, V16, P115 4302 CROSBY PB, 1979, QUALITY IS FREE 4303 CROSS N, 1998, ENG DESIGN METHODS S 4304 CULLEY SJ, 1999, FUR ISS DES RES WORK 4305 DICKSON P, 1995, J PROD INNOVAT MANAG, V12, P406 4306 DOOLEY K, 2001, RES ENG DES, V13, P23 4307 EARTHY J, 1999, USABILITY MATURITY M 4308 ECKERT CM, 2003, INT C ENG DES STOCKH 4309 EDGETT S, 1992, J PROD INNOVAT MANAG, V9, P3 4310 ERNST H, 2002, INT J MANAG REV, V4, P1 4311 FRASER P, 2002, I EL EL ENG INT ENG 4312 GEMSER G, 2001, J PROD INNOVAT MANAG, V18, P28 4313 GILL J, 1997, RES METHODS MANAGERS 4314 GLOBE S, 1973, RES MANAGE, V16, P8 4315 GORB P, 1987, DESIGN STUDIES, V8, P150 4316 GRIFFIN A, 1997, J PROD INNOVAT MANAG, V14, P429 4317 GUPTA AK, 2000, RES TECHNOL MANAGE, V43, P52 4318 HAN SH, 2000, INT J IND ERGONOM, V26, P477 4319 HARKINS J, 1994, MACHINE DESIGN FEB, V7, P53 4320 HERTENSTEIN JH, 2001, DESIGN MANAGEMENT J, V12, P10 4321 HUANG XL, 2002, J SMALL BUS MANAGE, V40, P27 4322 IBBS YH, 2000, PROJECT MANAGEMENT J, V31, P38 4323 KAPLAN RS, 1996, BALANCED SCOREARD 4324 KOTLER P, 1984, J BUS STRAT, V5, P16 4325 LAZO H, 1965, IND MARKETING, V50, P74 4326 LEDWITH A, 2000, J EUROPEAN IND TRAIN, V24, P137 4327 LILIEN GL, 1989, IEEE T ENG MANAGE, V36, P3 4328 LITTLE AD, 1991, ARTHUR D LITTLE SURV 4329 LITTLE D, 2003, U AUKLAND BUSINESS R, V5, P2 4330 LORENZ C, 1994, LONG RANGE PLANN, V27, P73 4331 MAIDIQUE MA, 1984, IEEE T ENG MANAGE, V31, P192 4332 MASLEN R, 1994, 1 U CAMB I MAN 4333 MCADAM R, 2004, INT J INNOVATION MAN, V8, P147 4334 MCGRATH ME, 1996, SETTING PACE PRODUCT 4335 MISHRA S, 1996, J PROD INNOVAT MANAG, V13, P530 4336 MONTOYAWEISS M, 1994, J PROD INNOVAT MANAG, V11, P297 4337 MOODY S, 1980, DESIGN STUDIES, V1, P329 4338 MYERS S, 1969, SUCCESSFUL IND INNOV 4339 MYNOTT C, 2000, SUCC PROD DEV SEM IM 4340 NEELY A, 1993, INT J OPER PROD MAN, V13, P5 4341 NIXON B, 1999, INT J TECHNOL MANAGE, V17, P814 4342 NORMAN DA, 1998, DESIGN EVERYDAY THIN 4343 OTTO K, 2001, PRODUCT DESIGN TECHN 4344 PAGE AL, 1993, J PROD INNOVAT MANAG, V10, P273 4345 PAHL G, 1996, ENG DESIGN SYSTEMATI 4346 PAULK MC, 1993, CMUSEI93TR024ESCTR93 4347 PHAAL R, 2000, 9 INT C MAN TECHN MI 4348 PITTIGLIO R, 1995, PRODUCT DEV LEADERSH 4349 PLATTS KW, 1993, INT J OPER PROD MAN, V13, P4 4350 PUGH S, 1996, CREATING INNOVATIVE 4351 RANSLEY DL, 1994, RES TECHNOL MANAGE, V37, P19 4352 RAPOPORT RN, 1970, HUM RELAT, V23, P499 4353 ROBERTS RW, 1974, RES MANAGE, V7, P21 4354 ROTHWELL R, 1974, RES POLICY, V3, P30 4355 ROY R, 1990, TECHNOL ANAL STRATEG, V2, P321 4356 ROY R, 1993, DESIGN STUDIES, V14, P171 4357 ROY R, 1999, J NEW PRODUCT DEV IN, V1, P281 4358 RUBINSTEIN AH, 1976, RES MANAGE, V9, P15 4359 SANDER PC, 2000, INT J PROD ECON, V67, P37 4360 SENTENCE A, 1997, CONTRIBUTION DESIGN 4361 SHEARD S, 1997, COMMUNICATION 0901 4362 SONG M, 1997, J MARKETING RES, V34, P64 4363 SUSMAN GI, 1978, ADM SCI Q, V23, P582 4364 SWANN C, 2002, DES ISSUES, V18, P49 4365 SZAKONYI R, 1994, RES TECHNOL MANAGE, V37, P27 4366 ULRICH KT, 2000, PRODUCT DESIGN DEV 4367 URBAN G, 1993, DESIGN MARKETING NEW 4368 UTTERBACK JM, 1976, IEEE T ENG MANAGE, V23, P3 4369 VANDERWIELE T, 1995, TQM MAGAZINE, V7, P13 4370 WALRAD C, 1993, IBM SYST J, V32, P445 4371 WALSH V, 1985, DESIGN STUDIES, V6, P127 4372 WALSH V, 1992, WINNING DESIGN TECHN 4373 WARMINGTON A, 1980, J APPLIED SYSTEMS AN, V7, P23 4374 WHEELWRIGHT SC, 1992, HARVARD BUS REV, V70, P70 4375 WOGNUM PM, 2003, INT J COMPUTER APPL, V18, P210 4376 ZENTNER P, 1989, DIRECTOR NOV, P149 4377 NR 99 4378 TC 0 4379 PU BLACKWELL PUBLISHING 4380 PI OXFORD 4381 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 4382 SN 0737-6782 4383 J9 J PROD INNOVAT MANAGE 4384 JI J. Prod. Innov. Manage. 4385 PD JUL 4386 PY 2007 4387 VL 24 4388 IS 4 4389 BP 335 4390 EP 368 4391 PG 34 4392 SC Business; Engineering, Industrial; Management 4393 GA 190UP 4394 UT ISI:000248086400005 4395 ER 4396 4397 PT J 4398 AU Sorokin, R 4399 Gottlieb, JE 4400 AF Sorokin, Rachel 4401 Gottlieb, Jonathan E. 4402 TI Enhancing patient safety during feeding-tube insertion: A review of 4403 more than 2000 insertions 4404 SO JOURNAL OF PARENTERAL AND ENTERAL NUTRITION 4405 LA English 4406 DT Article 4407 ID INTENSIVE-CARE UNIT; RADIOGRAPHIC DETECTION; ADVERSE EVENTS; 4408 HEALTH-CARE; COMPLICATIONS; PNEUMOTHORAX; PREVENTION 4409 AB Background: An intervention to reduce complications from insertion of 4410 small-bore nasogastric feeding tubes was performed. Methods: This was a 4411 Performance Improvement project with the Plan, Do, Study, Act (PDSA) 4412 format; interventions occurred in July 2003. Electronic searches of 4413 risk management and radiology databases identified feeding tube 4414 malpositions and complications from January 1, 2001, through December 4415 31, 2004. Chart abstraction and a pre- and postintervention comparison 4416 were performed. Interventions were adoption of a more compliant feeding 4417 tube, direct supervision of residents, technology-guided insertion, and 4418 implementation of explicit policies and procedures. Results: Of all 4419 small-bore nasogastric feeding-tube placements, 1.3%-2.4% resulted in 4420 50 documented cases of feeding-tube malpositions during 4 years. Over 4421 half of the 50 patients were mechanically ventilated, and only 2 had a 4422 normal mental status. There were 13 complications (26% of 4423 malpositions), including 2 deaths, which were directly attributed to 4424 the feeding-tube malposition. Only 2 of the 13 complications and none 4425 of the misplacements had been recorded in the risk management database; 4426 most cases were identified from the search of radiology reports. In the 4427 15-month postintervention period, no complications were identified. The 4428 control chart showed that after the intervention, there was a 4429 significant increase in the "number between" tube insertions without 4430 complications, confirming the effectiveness of the performance 4431 improvement (PI) project. Conclusions: Unassisted feeding tube 4432 insertion carries significant risk in vulnerable patients, which can be 4433 mitigated. Voluntary reporting appears inadequate to capture 4434 complications from feeding tube insertion. 4435 C1 Thomas Jefferson Univ Hosp, Jefferson Med Coll, Dept Med, Philadelphia, PA 19107 USA. 4436 Thomas Jefferson Univ Hosp, Off Clin Affairs, Philadelphia, PA 19107 USA. 4437 RP Sorokin, R, 1015 Chestnut St,2nd Floor, Philadelphia, PA 19107 USA. 4438 EM rachel.sorokin@jefferson.edu 4439 CR *JOINT COMM ACCR H, 2002, HLTH DEVICES, V31, P223 4440 APKON M, 2004, QUAL SAF HEALTH CARE, V13, P265 4441 BANKIER AA, 1997, INTENS CARE MED, V23, P406 4442 BATALDEN PB, 1993, JOINT COMM J QUAL IM, V19, P424 4443 BENNEYAN JC, 2001, HLTH CARE MANAGEMENT, V4, P305 4444 BERWICK DM, 1989, NEW ENGL J MED, V320, P53 4445 BRENNAN TA, 1991, NEW ENGL J MED, V324, P370 4446 CULLEN DJ, 1995, JOINT COMM J QUAL IM, V21, P548 4447 DEMING WE, 1982, QUALITY PRODUCTION C 4448 GHAHREMANI GG, 1986, DIGEST DIS SCI, V31, P574 4449 HARRIS MR, 1989, CRIT CARE MED, V17, P917 4450 HENDRY PJ, 1986, CRIT CARE MED, V14, P892 4451 JACKSON RH, 1990, AM J GASTROENTEROL, V85, P439 4452 KOHN LT, 2000, ERR IS HUMAN BUILDIN 4453 LEAPE LL, 1994, JAMA-J AM MED ASSOC, V272, P1851 4454 LEAPE LL, 2005, JAMA-J AM MED ASSOC, V293, P2384 4455 MARDERSTEIN EL, 2004, J AM COLL SURGEONS, V199, P39 4456 MCWEY RE, 1988, AM J SURG, V155, P253 4457 MONTGOMERY DC, 1997, INTRO STAT CONTROL 4458 ODOCHA O, 1989, J NATL MED ASSOC, V81, P275 4459 PAUKER SG, 2005, JAMA-J AM MED ASSOC, V294, P2906 4460 POWERS J, 2003, CRIT CARE NURSE, V23, P17 4461 RASSIAS AJ, 1998, CRIT CARE, V2, P25 4462 ROUBENOFF R, 1989, ARCH INTERN MED, V149, P184 4463 SCHOLTEN DJ, 1986, AM SURGEON, V52, P381 4464 STEEL K, 1981, NEW ENGL J MED, V304, P638 4465 WELSH CH, 1996, J GEN INTERN MED, V11, P454 4466 NR 27 4467 TC 3 4468 PU AMER SOC PARENTERAL & ENTERAL NUTRITION 4469 PI SILVER SPRING 4470 PA 8630 FENTON STREET SUITE 412, SILVER SPRING, MD 20910 USA 4471 SN 0148-6071 4472 J9 J PARENT ENTER NUTR 4473 JI J. Parenter. Enter. Nutr. 4474 PD SEP-OCT 4475 PY 2006 4476 VL 30 4477 IS 5 4478 BP 440 4479 EP 445 4480 PG 6 4481 SC Nutrition & Dietetics 4482 GA 195XB 4483 UT ISI:000248444600016 4484 ER 4485 4486 PT J 4487 AU Gupta, A 4488 Mukherjee, A 4489 Xie, B 4490 Agrawal, DP 4491 AF Gupta, Ananya 4492 Mukherjee, Anindo 4493 Xie, Bin 4494 Agrawal, Dharma P. 4495 TI Decentralized key generation scheme for cellular-based heterogeneous 4496 wireless ad hoc networks 4497 SO JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 4498 LA English 4499 DT Article 4500 DE ad hoc networks; base station; cellular networks; distributed 4501 algorithm; heterogeneous networks; multi-interface mobile station; 4502 pairwise keys; polynomial; symmetric key 4503 AB With the support of cellular system a cellular-based mobile ad hoc 4504 network (MANET) offers promising communication scenarios while entails 4505 secure data exchange as other wireless systems. In this paper, we 4506 propose a novel decentralized key generation mechanism using shared 4507 symmetric polynomials in which the base stations (BSs) carry out an 4508 initial key generation by a symmetric polynomial in a distributed 4509 manner and then pass on the key material to mobile stations (MSs). 4510 Thereafter, our proposed key generation scheme enables each pair of MSs 4511 to establish a pairwise key without any intervention from the 13S, thus 4512 reducing the management cost for the BS. The shared key between two 4513 NISs is computed without any interaction between them. In addition, the 4514 trust among NISs is derived from the cellular infrastructure, thus 4515 enjoying an equal security level as provided in the underlying cellular 4516 network. Simulations are done to observe the systern performance and 4517 the results are very encouraging. (c) 2007 Elsevier Inc. All rights 4518 reserved. 4519 C1 Univ Cincinnati, Dept Comp Sci, OBR Ctr Distributed & Mobile Comp, Cincinnati, OH 45221 USA. 4520 RP Agrawal, DP, Univ Cincinnati, Dept Comp Sci, OBR Ctr Distributed & 4521 Mobile Comp, Cincinnati, OH 45221 USA. 4522 EM guptaa0@ececs.uc.edu 4523 mukherao@ececs.uc.edu 4524 xieb@ececs.uc.edu 4525 dpa@ececs.uc.edu 4526 CR *HP, H6315 HP IPAQ 4527 AGRAWAL DA, 2005, INTRO WIRELESS MOBIL 4528 BIOT O, GLOBAL SYSTEM MOBILE 4529 BLOM R, 1984, ADV CRYPTOLOGY, V209 4530 BLUNDO C, 1993, LNCS, V740 4531 CAVALCANTI D, 2005, IEEE WIRELESS COMMUN 4532 CHENG Y, 2006, AD HOC NETWORKS, V5, P35 4533 CORDEIRO C, 2006, AD HOC SENSOR NETWOR 4534 DENG H, 2004, IEEE INT C INF TECHN 4535 ELTOWEISSY M, 2006, IEEE COMMUNICATIONS 4536 FALL K, 2000, NS MANUAL 4537 KIM Y, 2000, P 7 ACM C COMP COMM, P265 4538 KONG J, 2001, P IEEE 9 INT C NETW 4539 LIU D, 2003, 10 ACM C COMP COMM S 4540 LIU D, 2005, P 4 ACM WORKSH WIR S, P11 4541 NR 15 4542 TC 0 4543 PU ACADEMIC PRESS INC ELSEVIER SCIENCE 4544 PI SAN DIEGO 4545 PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA 4546 SN 0743-7315 4547 J9 J PARALLEL DISTRIB COMPUT 4548 JI J. Parallel Distrib. Comput. 4549 PD SEP 4550 PY 2007 4551 VL 67 4552 IS 9 4553 BP 981 4554 EP 991 4555 PG 11 4556 SC Computer Science, Theory & Methods 4557 GA 206GN 4558 UT ISI:000249172000002 4559 ER 4560 4561 PT J 4562 AU Tsouloupas, G 4563 Dikaiakos, MD 4564 AF Tsouloupas, George 4565 Dikaiakos, Marios D. 4566 TI GridBench: A tool for the interactive performance exploration of Grid 4567 infrastructures 4568 SO JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 4569 LA English 4570 DT Article 4571 DE grids; performance; benchmarking; testing; ranking 4572 ID BENCHMARKS 4573 AB As Grids rapidly expand in size and complexity, the task of 4574 benchmarking and testing, interactive or unattended, quickly becomes 4575 unmanageable. In this article we describe the difficulties of 4576 testing[benchmarking resources in large Grid infrastructures and we 4577 present the software architecture implementation of GridBench, an 4578 extensible tool for testing, benchmarking and ranking of Grid 4579 resources. We give an overview of GridBench services and tools, which 4580 support the easy definition, invocation and management of tests and 4581 benchmarking experiments. We also show how the tool can be used in the 4582 analysis of benchmarking results and how the measurements can be used 4583 to complement the information provided by Grid Information Services and 4584 used as a basis for resource selection and user-driven resource 4585 ranking. In order to illustrate the usage of the tool, we describe 4586 scenarios for using the GridBench framework to perform test/benchmark 4587 experiments and analyze the results. (c) 2007 Elsevier Inc. All rights 4588 reserved. 4589 C1 Univ Cyprus, Dept Comp Sci, CY-1678 Nicosia, Cyprus. 4590 RP Tsouloupas, G, Univ Cyprus, Dept Comp Sci, 75 Kallopoleos St,POB 20537, 4591 CY-1678 Nicosia, Cyprus. 4592 EM georget@ucy.ac.cy 4593 mdd@ucy.ac.cy 4594 CR ENABLING GRIDS E SCI 4595 ANDREOZZI S, 2005, GLUE SCHEMA SPECIFIC 4596 AVELLINO G, 2004, J GRID COMPUT, V2, P353 4597 BAILEY DH, 1991, INT J SUPERCOMPUT AP, V5, P63 4598 CHUN G, 2004, 18 INT PAR DISTR PRO 4599 COOKE A, 2003, LECT NOTES COMPUT SC, V2888, P462 4600 CZAJKOWSKI K, 2001, P 10 IEEE INT S HIGH, P181 4601 DIKAIAKOS MD, 2007, CONCURR COMP-PRACT E, V19, P89 4602 DUMITRESCU C, 2004, P 5 INT WORKSH GRID 4603 FOSTER I, 2005, OPEN GRID SERVICES A 4604 GOMES J, 2005, LECT NOTES COMPUTER, V3470, P98 4605 KENNY E, 2005, LECT NOTES COMPUT SC, V3516, P870 4606 KUPCZYK M, 2004, INT C COMP SCI, P91 4607 LIU C, 2002, P 11 IEEE S HIGH PER, P63 4608 MOURINO JC, 2001, HPCN EUR, V5, P543 4609 PONCE O, 2002, LECT NOTES COMPUT SC, V2474, P33 4610 RAMAN R, 1998, P 7 IEEE INT S HIGH, P140 4611 RAMAN R, 1999, CLUSTER COMPUTING, V2, P129 4612 RASHEED H, 2006, THESIS ROYAL I TECHN 4613 SLOOT PMA, 2004, 2 INT WORKSH BIOM CO 4614 SMALLEN S, 2004, SC 04 P 2004 ACM IEE, P55 4615 TSOULOUPAS G, 2004, TR20045 U CYPR DEP C 4616 TSOULOUPAS G, 2006, E SCIENCE, P70 4617 TSOULOUPAS G, 2007, TR0702 U CYPR DEP CO 4618 VANDERWIJNGAART RF, 2004, ALU INTENSIVE GRID B 4619 WOLSKI R, 1999, J FUTURE GENERATION, V15, P757 4620 NR 26 4621 TC 0 4622 PU ACADEMIC PRESS INC ELSEVIER SCIENCE 4623 PI SAN DIEGO 4624 PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA 4625 SN 0743-7315 4626 J9 J PARALLEL DISTRIB COMPUT 4627 JI J. Parallel Distrib. Comput. 4628 PD SEP 4629 PY 2007 4630 VL 67 4631 IS 9 4632 BP 1029 4633 EP 1045 4634 PG 17 4635 SC Computer Science, Theory & Methods 4636 GA 206GN 4637 UT ISI:000249172000006 4638 ER 4639 4640 PT J 4641 AU Grote, K 4642 Fleming, E 4643 Levine, E 4644 Richmond, R 4645 Sutaria, S 4646 Wiest, FC 4647 Daley, J 4648 AF Grote, Kurt 4649 Fleming, Edd 4650 Levine, Edward 4651 Richmond, Russell 4652 Sutaria, Saumya 4653 Wiest, Francine C. 4654 Daley, Jennifer 4655 TI The "New economics" of clinical quality improvement: The case of 4656 community-acquired pneumonia 4657 SO JOURNAL OF HEALTHCARE MANAGEMENT 4658 LA English 4659 DT Article 4660 ID MANAGEMENT; DISCHARGE; CARE 4661 AB Hospitals and health systems have developed substantial infrastructure, 4662 at significant expense, to improve care quality and support the 4663 collection and distribution of quality metrics. Yet providers often 4664 have little understanding of what return, if any, they have earned on 4665 the investment because they typically view quality improvement efforts 4666 simply as a cost of doing business. After analyzing data from 10,512 4667 patients with community-acquired pneumonia, we found that better 4668 performance on two quality measures was associated with shorter length 4669 of stay and improved financial performance. For example, a one-day 4670 decrease in the time until patients were shifted from intravenous to 4671 oral antibiotics was associated with a 0.8-day reduction in length of 4672 stay and a nearly 60 percent increase in margins. Providers can adapt 4673 the methods we used to derive these findings to identify other quality 4674 metrics that simultaneously increase care quality and generate economic 4675 value. To derive maximum clinical and financial benefit, however, 4676 providers must ensure that clinical quality staff members are 4677 adequately supported and skilled to set priorities and to implement 4678 effective initiatives. 4679 C1 McKinsey & Co Inc, Los Angeles, CA USA. 4680 McKinsey & Co Inc, Palo Alto, CA USA. 4681 D2Hawkeye, Boston, MA USA. 4682 Dartmouth Coll Sch Med, Hanover, NH USA. 4683 Tenet Healthcare, Dallas, TX USA. 4684 RP Grote, K, McKinsey & Co Inc, Los Angeles, CA USA. 4685 EM Kurt_Grote@McKinsey.com 4686 CR 2005, BEST HOSPITALS 2005 4687 *CDCP, 2005, OV SPEC MEAS DISPL H 4688 *HFMA, 2004, HEALTHCARE FINANCI S 4689 *HFMA, 2005, HEALTHCARE FINANCI S, V59, P1 4690 *IPRO, 2006, COMP HOSP 4691 *JOINT COMM, 2002, OV COMM ACQ PNEUM OR 4692 *JOINT COMM, 2006, QUAL CHECK 4693 *OWH, 2006, NAT CTR EXC WOM HLTH 4694 *UHC, 2006, HOSP COMP TOOL 4695 *US DEP HHS, 2006, HOSP COMP QUAL TOOL 4696 ALEXANDER S, 2005, QUAL COLL CAMBR MASS 4697 AUDET AMJ, 2005, HEALTH AFFAIR, V24, P843 4698 BALLARD R, 2005, HEALTHC FIN MAN, V59, P78 4699 BARRON WM, 2005, JOINT COMM J QUAL IM, V31, P220 4700 BRADLEY EH, 2003, J HEALTHC MANAG, V48, P15 4701 DEDIER J, 2001, ARCH INTERN MED, V161, P2099 4702 LEATHERMAN S, 2003, HEALTH AFFAIR, V22, P17 4703 MEURER SJ, 2004, AM J MED QUAL, V19, P214 4704 MUNDY LM, 2003, CHEST, V124, P883 4705 OHARE PK, 2005, HEALTHC FINANC MANAG, V59, P46 4706 RAMIREZ JA, 1999, ARCH INTERN MED, V159, P2449 4707 RAMSDELL J, 2005, CHEST, V127, P1752 4708 RHEW DC, 1998, CHEST, V113, P142 4709 SAFAVI K, 2006, J HEALTHC MANAG, V51, P215 4710 SAINT S, 2003, AM J MANAG CARE, V9, P758 4711 SHULKIN DJ, 2000, AM J MED QUAL, V15, P49 4712 STONE RA, 2005, AM J MANAG CARE, V11, P491 4713 SULLIVAN J, 2003, J NURS ADMIN, V33, P544 4714 WOODARD TD, 2005, J HEALTHC MANAG, V50, P226 4715 NR 29 4716 TC 0 4717 PU AMER COLL HEALTHCARE EXEC HEALTH ADMINISTRATION PRESS 4718 PI CHICAGO 4719 PA ONE NORTH FRANKLIN ST SUITE 1700, CHICAGO, IL 60606 USA 4720 SN 1096-9012 4721 J9 J HEALTHC MANAG 4722 JI J. Healthc. Manag. 4723 PD JUL-AUG 4724 PY 2007 4725 VL 52 4726 IS 4 4727 BP 246 4728 EP 258 4729 PG 13 4730 SC Health Policy & Services 4731 GA 191MM 4732 UT ISI:000248135300007 4733 ER 4734 4735 PT J 4736 AU Plymale, RC 4737 Felton, GW 4738 Hoover, K 4739 AF Plymale, Ruth C. 4740 Felton, Gary W. 4741 Hoover, Kelli 4742 TI Induction of systemic acquired resistance in cotton foliage does not 4743 adversely affect the performance of an entomopathogen 4744 SO JOURNAL OF CHEMICAL ECOLOGY 4745 LA English 4746 DT Article 4747 DE baculovirus; Heliothis virescens; Actigard; BTH; tritrophic 4748 interactions; microbial control 4749 ID NUCLEAR POLYHEDROSIS-VIRUS; ALTERNARIA LEAF-SPOT; CONDENSED TANNIN; 4750 HELIOTHIS-VIRESCENS; DISEASE RESISTANCE; HELICOVERPA-ZEA; 4751 SALICYLIC-ACID; 2,6-DICHLOROISONICOTINIC ACID; LARVAE LEPIDOPTERA; 4752 GOSSYPIUM-HIRSUTUM 4753 AB Baculoviral efficacy against lepidopteran larvae is substantially 4754 impacted by the host plant. Here, we characterized how baculoviral 4755 pathogenicity to cotton-fed Heliothis virescens larvae is affected by 4756 induction of systemic acquired resistance (SAR). Numerous studies have 4757 shown that SAR induced by the plant elicitor 4758 benzo-(1,2,3)-thiadiazole-7-carbothioic acid S-methyl ester (BTH) can 4759 protect against plant pathogens, but reports on the impacts of SAR on 4760 chewing herbivores or on natural enemies of herbivores are few. We 4761 found that BTH application significantly increased foliar peroxidase 4762 activity, condensed tannin levels, and total phenolic levels but did 4763 not alter dihydroxyphenolic levels. Consumption of BTH-treated foliage 4764 did not influence H. virescens pupal weight or larval mortality by the 4765 microbial control agent Autographa californica multiple 4766 nucleopolyhedrovirus any more than did consumption of untreated 4767 foliage. Thus, activation of SAR, although it did not protect the plant 4768 against a chewing herbivore, also did not reduce the effect of a 4769 natural enemy on a herbivore, indicating that SAR and microbial control 4770 agents may be compatible components of integrated pest management. 4771 C1 Penn State Univ, Dept Entomol, University Pk, PA 16802 USA. 4772 RP Hoover, K, Penn State Univ, Dept Entomol, University Pk, PA 16802 USA. 4773 EM kxh25@psu.edu 4774 CR *SAS I, 2003, US MAN 4775 ALI MI, 1998, BIOL CONTROL, V12, P42 4776 ALI MI, 1999, J CHEM ECOL, V25, P2193 4777 APPEL HM, 1993, J CHEM ECOL, V19, P1521 4778 AYRES MP, 1997, ECOLOGY, V78, P1696 4779 BAYSAL O, 2005, BIOL PLANTARUM, V4, P599 4780 BERNAYS EA, 1989, ADV ECOL RES, V19, P263 4781 BI JL, 1997, J CHEM ECOL, V23, P1805 4782 BI JL, 1997, J CHEM ECOL, V23, P97 4783 BOKSHI AI, 2003, PLANT PATHOL, V52, P22 4784 BONNING BC, 2005, COMPREHENSIVE MOL IN, P223 4785 BOUGHTON AJ, 2006, ENTOMOL EXP APPL, V120, P175 4786 BROADWAY RM, 1986, ENTOMOL EXP APPL, V41, P33 4787 CHAN BG, 1978, J INSECT PHYSL, V24, P113 4788 CHEN H, 2005, P NATL ACAD SCI USA, V102, P19237 4789 CIPOLLINI D, 2004, MOL ECOL, V13, P1643 4790 COLSONHANKS ES, 2000, AUSTRALAS PLANT PATH, V29, P170 4791 COLSONHANKS ES, 2000, PLANT PATHOL, V49, P171 4792 CORY JS, 2003, ANNU REV ECOL EVOL S, V34, P239 4793 CORY JS, 2006, TRENDS ECOL EVOL, V21, P278 4794 DUDT JF, 1994, ECOLOGY, V75, P86 4795 DUFFEY SS, 1996, ARCH INSECT BIOCHEM, V32, P3 4796 DURRANT WE, 2004, ANNU REV PHYTOPATHOL, V42, P185 4797 ENGELHARD EK, 1994, P NATL ACAD SCI USA, V91, P3224 4798 FEENY PP, 1968, J INSECT PHYSIOL, V14, P805 4799 FELTON GW, 1987, J CHEM ECOL, V13, P947 4800 FELTON GW, 1990, J CHEM ECOL, V16, P1211 4801 FELTON GW, 2000, CURR OPIN PLANT BIOL, V3, P309 4802 FELTON GW, 2005, P NATL ACAD SCI USA, V102, P18771 4803 FRIEDRICH L, 1996, PLANT J, V10, P61 4804 GAFFNEY T, 1993, SCIENCE, V261, P754 4805 GORLACH J, 1996, PLANT CELL, V8, P629 4806 GRANADOS RR, 1981, VIROLOGY, V108, P297 4807 HANNY BW, 1980, J AGR FOOD CHEM, V28, P504 4808 HEDIN PA, 1983, PLANT RESISTANCE INS, P347 4809 HOOVER K, 1995, BIOL CONTROL, V5, P419 4810 HOOVER K, 1998, J CHEM ECOL, V24, P1949 4811 HOOVER K, 1998, J CHEM ECOL, V24, P221 4812 HOOVER K, 1998, J CHEM ECOL, V24, P253 4813 HUKKANEN AT, 2007, J AGR FOOD CHEM, V55, P1862 4814 INBAR M, 1998, J CHEM ECOL, V24, P135 4815 INBAR M, 2001, ENTOMOL EXP APPL, V99, P65 4816 JABAJIHARE S, 2005, PHYTOPATHOLOGY, V95, P1030 4817 KEATING ST, 1988, ENVIRON ENTOMOL, V17, P952 4818 KEATING ST, 1989, J INVERTEBR PATHOL, V54, P165 4819 KLOCKE JA, 1982, J INSECT PHYSIOL, V28, P911 4820 KOPPER BJ, 2002, ENVIRON ENTOMOL, V31, P10 4821 LAWTON KA, 1996, PLANT J, V10, P71 4822 MAXSONSTEIN K, 2002, PLANT DIS, V86, P785 4823 MCCOLL AL, 1992, AUST J EXP AGR ANIM, V32, P1127 4824 MULROONEY JE, 1985, J ECON ENTOMOL, V78, P757 4825 NAVON A, 1993, J CHEM ECOL, V19, P2485 4826 NOMBELA G, 2005, J ECON ENTOMOL, V98, P2266 4827 NOMURA M, 2002, APPL ENTOMOL ZOOL, V37, P285 4828 PRICE ML, 1978, J AGR FOOD CHEM, V26, P1214 4829 PRITCHETT DW, 1982, J INVERTEBR PATHOL, V39, P354 4830 REESE JC, 1982, J CHEM ECOL, V8, P1429 4831 ROSTAS M, 2003, BASIC APPL ECOL, V4, P43 4832 ROSTAS M, 2003, NATURWISSENSCHAFTEN, V90, P63 4833 SINGLETON VL, 1965, AM J ENOL VITICULT, V16, P144 4834 SMITH CW, 1992, J ECON ENTOMOL, V85, P2211 4835 STOUT MJ, 1999, PHYSIOL MOL PLANT P, V54, P115 4836 SZEWCZYK B, 2006, BIOTECHNOL ADV, V24, P143 4837 THALER JS, 2002, J CHEM ECOL, V28, P1131 4838 THEILMANN DA, 2005, VIRUS TAXONOMY, P177 4839 VALLAD GE, 2004, CROP SCI, V44, P1920 4840 VANLOON LC, 1999, PHYSIOL MOL PLANT P, V55, P85 4841 WASHBURN JO, 1995, VIROLOGY, V209, P561 4842 YOUNG SY, 1995, BIOL CONTROL, V5, P145 4843 ZAR JH, 1999, BIOSTATISTICAL ANAL 4844 ZHU YJ, 2003, PHYSIOL MOL PLANT P, V63, P237 4845 NR 71 4846 TC 0 4847 PU SPRINGER 4848 PI DORDRECHT 4849 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 4850 SN 0098-0331 4851 J9 J CHEM ECOL 4852 JI J. Chem. Ecol. 4853 PD AUG 4854 PY 2007 4855 VL 33 4856 IS 8 4857 BP 1570 4858 EP 1581 4859 PG 12 4860 SC Biochemistry & Molecular Biology; Ecology 4861 GA 195ME 4862 UT ISI:000248415500008 4863 ER 4864 4865 PT J 4866 AU Kaplan, SE 4867 McElroy, JC 4868 Ravenscroft, SP 4869 Shrader, CB 4870 AF Kaplan, Steven E. 4871 McElroy, James C. 4872 Ravenscroft, Susan P. 4873 Shrader, Charles B. 4874 TI Moral judgment and causal attributions: Consequences of engaging in 4875 earnings management 4876 SO JOURNAL OF BUSINESS ETHICS 4877 LA English 4878 DT Article 4879 DE budgetary control system; causal attributions; earnings management; 4880 moral judgment; work history 4881 ID HYPOTHESIS-TESTING STRATEGIES; ETHICAL CLIMATE; AGENCY THEORY; 4882 PERFORMANCE; BEHAVIOR; OBSERVERS; MODELS; IMPACT 4883 AB Recent, well-publicized accounting scandals have shown that the 4884 penalties outsiders impose on those found culpable of earnings 4885 management can be severe. However, less is known about how colleagues 4886 within internal labor markets respond when they believe fellow managers 4887 have managed earnings. Designers of responsibility accounting systems 4888 need to understand the reputational costs managers impose on one 4889 another within internal labor markets. In an experimental study, 159 4890 evening MBA students were asked to assume the role of a manager in a 4891 company and respond to a scenario in which another manager (the target 4892 manager) has the opportunity to engage in earnings management. 4893 Participants provided causal attributions, assessed the morality of the 4894 target manager, and indicated whether they would change their judgments 4895 about the target manager's reputation. The study manipulated three 4896 between-subjects factors: (1) whether the target manager chose to 4897 engage in earnings management, (2) whether the company's budgetary 4898 control system was rigid or flexible, and (3) whether the target 4899 manager's work history was average or above average. We found that 4900 causal attributions are affected more by the budgetary systems when the 4901 target did not manage earnings than when the manager did. We also found 4902 that morality judgments were significantly associated with the target 4903 manager's behavior, but not with the budgetary system. In addition, 4904 participants' judgments about the target manager's reputation were more 4905 strongly associated with morality judgments than with causal 4906 attributions. We discuss implications of the role of reputation in 4907 management control systems design. 4908 C1 Arizona State Univ, Sch Accountancy, Tempe, AZ 85287 USA. 4909 Iowa State Univ, Coll Business, Ames, IA 50011 USA. 4910 RP Kaplan, SE, Arizona State Univ, Sch Accountancy, Tempe, AZ 85287 USA. 4911 EM cshrader@iastate.edu 4912 CR BAGINSKI SP, 2004, J ACCOUNTING RES, V42, P1 4913 BECKER H, 1987, COLUMBIA J WORLD BUS, V22, P87 4914 BROWER HH, 2000, J BUS ETHICS, V26, P147 4915 BRUNS WJ, 1990, MANAGE ACCOUNTING, V72, P22 4916 BUTT JL, 1989, ACCOUNT ORG SOC, V14, P471 4917 COHEN D, 2001, GOOD COMPANY SOCIAL 4918 CRANT JM, 1993, ACAD MANAGE J, V36, P7 4919 DAVIDSON WN, 2004, ACAD MANAGE J, V47, P267 4920 DECARLO TE, 1997, J PERSONAL SELLING S, V17, P1 4921 DOWNEY HK, 1979, ORGAN BEHAV HUM PREF, V24, P287 4922 DUBINSKY AJ, 1989, J PERSONAL SELLING S, V9, P9 4923 ELIG TW, 1979, J PERS SOC PSYCHOL, V37, P621 4924 ERICKSON DJ, 1999, BASIC APPL SOC PSYCH, V21, P1 4925 FISCHER M, 1995, J BUS ETHICS, V14, P433 4926 FLORY SM, 1992, ACCOUNT REV, V67, P284 4927 FORTE A, 2004, J BUS ETHICS, V51, P167 4928 GREEN SG, 1979, ORGAN BEHAV HUM PREF, V23, P429 4929 HAMILTON DL, 1983, PERSPECTIVES BEHAV O, P41 4930 HAMILTON VL, 1980, J PERS SOC PSYCHOL, V39, P767 4931 HEALY P, 1999, ACCOUNTING HORIZONS, V13, P365 4932 HEIDER F, 1958, PSYCHOL INTERPERSONA 4933 HOLLINGER RC, 1983, THEFT EMPLOYEES 4934 HOPWOOD AG, 1972, J ACCOUNTING RES, V10, S156 4935 JENSEN MC, 2001, WALL STREET J, A32 4936 JONES EE, 1972, ATTRIBUTION PERCEIV, P79 4937 KAPLAN SE, 1985, ACCOUNT REV, V60, P477 4938 KAPLAN SE, 1991, ADV ACCOUNTING, V9, P227 4939 KAPLAN SE, 1993, BEHAV RES ACCOUNTING, V5, P101 4940 KAPLAN SE, 2001, J ACCOUNTING PUBLIC, V20, P27 4941 KAPLAN SE, 2001, J BUS ETHICS, V32, P285 4942 KAPLAN SE, 2004, BUS ETHICS Q, V14, P453 4943 KELLEY HH, 1972, PERCEIVING CAUSES BE, P151 4944 KELLEY HH, 1980, ANNU REV PSYCHOL, V31, P457 4945 KELLY JE, 2004, J BUS ETHICS, V52, P283 4946 KERR S, 1995, ACAD MANAGEMENT EXEC, V9, P7 4947 KIDA T, 1984, J ACCOUNTING RES, V22, P332 4948 LORD RG, 1983, ACAD MANAGE REV, V8, P50 4949 LOWE DJ, 2002, ACCOUNT REV, V77, P185 4950 MERCHANT KA, 1994, J ACCOUNTING PUBLIC, V13, P79 4951 MERCHANT KA, 1998, MODERN MANAGEMENT CO 4952 MOWDAY RT, 1983, MOTIVATION WORK BEHA, P352 4953 NOREEN E, 1988, ACCOUNT ORG SOC, V13, P359 4954 PFEFFER J, 1977, ACAD MANAGE REV, V2, P104 4955 RECKERS PMJ, 1991, BEHAV RES ACCOUNTING, V3, P77 4956 REEDER GD, 1983, J PERS SOC PSYCHOL, V44, P736 4957 REGAN DT, 1975, J PERS SOC PSYCHOL, V32, P850 4958 SANDERSON CA, 2002, J APPL SOC PSYCHOL, V32, P375 4959 SINGER MS, 1997, J BUS ETHICS, V16, P473 4960 STAW BM, 1975, ORGAN BEHAV HUM, V13, P414 4961 TAN HT, 1997, J BEHAV DECIS MAKING, V10, P315 4962 TEAS RK, 1986, J MARKETING, V50, P75 4963 TROTMAN KT, 1989, ACCOUNT ORG SOC, V14, P565 4964 VANDERSTEDE WA, 2000, ACCOUNT ORG SOC, V25, P609 4965 WEINER B, 1985, HUMAN MOTIVATION 4966 WEINER B, 1985, PSYCHOL BULL, V97, P74 4967 WONGONWING B, 1989, ACCOUNT ORG SOC, V14, P577 4968 NR 56 4969 TC 0 4970 PU SPRINGER 4971 PI DORDRECHT 4972 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 4973 SN 0167-4544 4974 J9 J BUS ETHICS 4975 JI J. Bus. Ethics 4976 PD AUG 4977 PY 2007 4978 VL 74 4979 IS 2 4980 BP 149 4981 EP 164 4982 PG 16 4983 SC Business; Ethics 4984 GA 195MU 4985 UT ISI:000248417100004 4986 ER 4987 4988 PT J 4989 AU de Graaf, FJ 4990 Herkstroter, CAJ 4991 AF de Graaf, Frank J. 4992 Herkstroeter, Cor A. J. 4993 TI How corporate social performance is institutionalised within the 4994 governance structure 4995 SO JOURNAL OF BUSINESS ETHICS 4996 LA English 4997 DT Article 4998 DE corporate governance; corporate social performance; stakeholder 4999 influence 5000 ID STAKEHOLDER THEORY; MANAGEMENT; COMPANIES; BUSINESS; SYSTEMS; MODEL 5001 AB Since Ackerman in Corporate social responsiveness, the modern dilemma 5002 (1973), pleaded for the institutionalisation of corporate social 5003 performance (CSP) in business processes, researchers have focused on 5004 the role of strategy in CSP. This article demonstrates that CSP is 5005 institutionalised within the governance structure. We will attempt to 5006 make this clear by means of a description of the Dutch system of 5007 corporate governance. Under certain circumstances Dutch companies are 5008 already bound to CSP due to prevailing legislation. A governance 5009 perspective shows that CSP is institutionalised within a company's 5010 governance structure. "Processes of responsiveness", since long 5011 regarded as a starting point of CSP-analysis, appear to be 5012 decision-making processes. Within these processes the expectations of 5013 the stakeholders can be institutionalised, trust can be built and 5014 interests can be incorporated. This makes CSP context-dependent. 5015 However, it is possible to analyse companies by comparing the 5016 companies' individual governance structures. The article concludes that 5017 CSP-analysis can fruitfully extend into analysing in the role of the 5018 stakeholders in the influence-pathways that are incorporated within the 5019 governance structure. 5020 C1 Univ Amsterdam, Corporate Responsibil Fdn, Amsterdam Business Sch, NL-1018 WB Amsterdam, Netherlands. 5021 RP de Graaf, FJ, Univ Amsterdam, Corporate Responsibil Fdn, Amsterdam 5022 Business Sch, Roetersstr 11, NL-1018 WB Amsterdam, Netherlands. 5023 EM Fj.deGraaf@uva.nl 5024 CR 2000, SOCIAAL EC RAAD 5025 ACKERMAN RW, 1973, HARVARD BUS REV, V51, P88 5026 BAUER RA, 1976, CORPORATE SOCIAL RES 5027 BERMAN S, 2000, BUS SOC, V39, P397 5028 BOVENS MAP, 1998, QUEST RESPONSIBILITY 5029 CALDWELL C, 2005, J BUS ETHICS, V58, P249 5030 CARROLL AB, 1979, ACAD MANAGE REV, V4, P497 5031 COFFEY BS, 1998, J BUS ETHICS, V17, P1593 5032 DABOUB AJ, 2002, J BUS ETHICS, V41, P81 5033 DAVIS JH, 1997, ACAD MANAGE REV, V22, P20 5034 FREEMAN RE, 1983, CALIF MANAGE REV, V25, P88 5035 FROOMAN J, 1999, ACAD MANAGE REV, V24, P191 5036 GARGIULO M, 1993, ADMIN SCI QUART, V38, P1 5037 GRANDORI A, 1997, J MANAGEMENT GOVERNA, V1, P29 5038 GRIFFIN JJ, 2000, BUS SOC, V39, P479 5039 HEATH J, 2004, J BUS ETHICS, V53, P247 5040 HILLMAN AJ, 2001, BUS SOC, V40, P295 5041 KOCHAN TA, 2000, ORGAN SCI, V11, P367 5042 LEADER S, 1999, J BUS ETHICS, V21, P97 5043 LUOMA P, 1999, ACAD MANAGE J, V42, P553 5044 MARGOLIS JD, 2003, ADMIN SCI QUART, V48, P268 5045 MOERLAND PW, 1995, J ECON BEHAV ORGAN, V26, P17 5046 NOOTEBOOM B, 1999, J ECON ISSUES, V33, P845 5047 SWANSON DL, 1995, ACAD MANAGE REV, V20, P43 5048 SWANSON DL, 1999, ACAD MANAGE REV, V24, P506 5049 WARTICK SL, 1985, ACAD MANAGE REV, V10, P758 5050 WEIMER J, 1999, CORP GOV, V7, P152 5051 WHITLEY R, 1999, DIVERGENT CAPITALISM 5052 WILLIAMSON OE, 2000, J ECON LIT, V38, P595 5053 WOOD DJ, 1991, ACAD MANAGE REV, V16, P691 5054 ZADEK S, 1998, J BUS ETHICS, V17, P1421 5055 NR 31 5056 TC 0 5057 PU SPRINGER 5058 PI DORDRECHT 5059 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 5060 SN 0167-4544 5061 J9 J BUS ETHICS 5062 JI J. Bus. Ethics 5063 PD AUG 5064 PY 2007 5065 VL 74 5066 IS 2 5067 BP 177 5068 EP 189 5069 PG 13 5070 SC Business; Ethics 5071 GA 195MU 5072 UT ISI:000248417100006 5073 ER 5074 5075 PT J 5076 AU Almajali, M 5077 Lafdi, K 5078 Shaikh, S 5079 AF Almajali, M. 5080 Lafdi, K. 5081 Shaikh, S. 5082 TI Interfacial and capillary pressure effects on the thermal performance 5083 of wax/foam composites 5084 SO JOURNAL OF APPLIED PHYSICS 5085 LA English 5086 DT Article 5087 ID PHASE-CHANGE MATERIAL; NATURAL-CONVECTION; STORAGE MATERIAL; ENERGY 5088 STORAGE; POROUS-MEDIA; ION BATTERY; METAL FOAMS; HEAT; CONDUCTIVITY; 5089 MANAGEMENT 5090 AB A numerical investigation study was performed to study the phase change 5091 behavior of wax/foam composite encapsulated in an aluminum casing. Two 5092 types of foam materials, namely, aluminum and carbon, were infiltrated 5093 with paraffin wax. The progress of melt interface and temperature 5094 distribution within the encapsulated composite was analyzed using 5095 computational fluid dynamics software (CFD). A two-energy equation 5096 model was implemented in the CFD software through the use of user 5097 defined function (UDF). Interfacial effects influencing the heat 5098 transfer process at the casing-composite junction and between the 5099 wax-foam surfaces within the composite were addressed through the use 5100 of separate UDE In addition, the effect of capillary pressure developed 5101 within the foam matrix was incorporated using an area ratio parameter. 5102 The contact resistance at the foam-casing interface and the capillary 5103 pressure had a major influence on the thermal behavior of the system. 5104 These two factors lowered down the heat transfer rate considerably and 5105 the melting area was reduced by more than 30%. The temperature profiles 5106 for the foam material showed a different pattern as compared to the 5107 temperature within the wax, which was due to the effect of thermal 5108 nonequilibrium. (c) 2007 American Insiitute of Physics. 5109 C1 Univ Dayton, Dayton, OH 45469 USA. 5110 RP Almajali, M, Univ Dayton, 300 Coll Pk, Dayton, OH 45469 USA. 5111 EM almajamr@notes.udayton.edu 5112 CR BECKERMANN C, 1988, INT J HEAT MASS TRAN, V31, P35 5113 CALMIDI VV, 1999, J HEAT TRANS-T ASME, V121, P466 5114 HONG ST, 2006, SCRIPTA MATER, V55, P887 5115 KHATEEB SA, 2004, J POWER SOURCES, V128, P292 5116 KHATEEB SA, 2005, J POWER SOURCES, V142, P345 5117 LAFDI K, IN PRESS CARBON 5118 LAFDI K, UNPUB APPL PHYS A 5119 LAFDI K, UNPUB ENERGY CONVERS 5120 MAURAN S, 1993, HEAT RECOV SYST CHP, V13, P315 5121 MESALHY O, 2005, ENERG CONVERS MANAGE, V46, P847 5122 MESALHY O, 2006, CARBON, V44, P2080 5123 MILLS A, 2006, APPL THERM ENG, V26, P128 5124 PHANIKUMAR MS, 2002, INT J HEAT MASS TRAN, V45, P3781 5125 PY X, 2001, INT J HEAT MASS TRAN, V44, P2727 5126 QUINTARD M, 1993, ADV HEAT TRANSFER, V23, P369 5127 SARI A, 2004, ENERG CONVERS MANAGE, V45, P2033 5128 SAVIJA I, 2002, 40 AIAA AER SCI M EX, P43 5129 SHAIKH S, 2007, CARBON, V45, P695 5130 VAFAI K, 1990, ASME, V112, P690 5131 VAFAI K, 1990, J HEAT TRANS-T ASME, V112, P1014 5132 WEAVER JA, 1986, INT COMMUN HEAT MASS, V13, P245 5133 ZHANG ZG, 2006, ENERG CONVERS MANAGE, V47, P303 5134 NR 22 5135 TC 0 5136 PU AMER INST PHYSICS 5137 PI MELVILLE 5138 PA CIRCULATION & FULFILLMENT DIV, 2 HUNTINGTON QUADRANGLE, STE 1 N O 1, 5139 MELVILLE, NY 11747-4501 USA 5140 SN 0021-8979 5141 J9 J APPL PHYS 5142 JI J. Appl. Phys. 5143 PD AUG 1 5144 PY 2007 5145 VL 102 5146 IS 3 5147 AR 033506 5148 DI ARTN 033506 5149 PG 8 5150 SC Physics, Applied 5151 GA 207GW 5152 UT ISI:000249240600023 5153 ER 5154 5155 PT J 5156 AU Wang, P 5157 Bar-Cohen, A 5158 AF Wang, Peng 5159 Bar-Cohen, Avram 5160 TI On-chip hot spot cooling using silicon thermoelectric microcoolers 5161 SO JOURNAL OF APPLIED PHYSICS 5162 LA English 5163 DT Article 5164 ID CONTACT RESISTANCE; OHMIC CONTACTS; DEVICES; POWER 5165 AB Thermal management of microprocessors has become an increasing 5166 challenge in recent years because of localized high flux hot spots 5167 which cannot be effectively removed by conventional cooling techniques. 5168 This paper describes the use of the silicon chip itself as a 5169 thermoelectric cooler to suppress the hot spot temperature. A 5170 three-dimensional analytical thermal model of the silicon chip, 5171 including localized thermoelectric cooling, thermoelectric heating, 5172 silicon Joule heating, hot spot heating, background heating, and 5173 conductive/convective cooling on the back of the silicon chip, is 5174 developed and used to predict the on-chip hot spot cooling performance. 5175 The effects of hot spot size, hot spot heat flux, silicon chip 5176 thickness, microcooler size, doping concentration in the silicon, and 5177 parasitic Joule heating from electric contact resistance on the cooling 5178 of on-chip hot spots, are investigated in detail. (c) 2007 American 5179 Institute of Physics. 5180 C1 Univ Maryland, Dept Mech Engn, College Pk, MD 20742 USA. 5181 RP Bar-Cohen, A, Univ Maryland, Dept Mech Engn, College Pk, MD 20742 USA. 5182 EM wangp@glue.umd.edu 5183 abc@umd.edu 5184 CR *NEMI, 2004, EL MAN IN TECHN ROAD 5185 ANDREEV AN, 1998, SEMICONDUCTORS+, V32, P739 5186 CHANG CY, 1971, SOLID STATE ELECTRON, V14, P541 5187 CHEN G, 2006, IEEE T COMPON PACK T, V29, P238 5188 FAN X, 2002, THESIS U CALIFORNIA 5189 FAN XF, 2001, APPL PHYS LETT, V78, P1580 5190 FRITZSCHE H, 1971, SOLID STATE COMMUN, V9, P1813 5191 GEBALLE TH, 1955, PHYS REV, V98, P940 5192 HARMAN TC, 2002, SCIENCE, V297, P2229 5193 HERWAARDEN AW, 1986, SENSOR ACTUATOR, V10, P321 5194 HEWETT CA, 1995, J APPL PHYS, V77, P755 5195 HORN FH, 1955, PHYS REV, V97, P1521 5196 KRAUS AD, 1983, THERMAL ANAL CONTROL 5197 LIDE DR, 1994, CRC HDB CHEM PHYS 5198 MAHAJAN R, 2002, INTEL TECHNOLOGY J, V6, P62 5199 MUZYCHKA YS, 2003, J ELECTRON PACKAGING, V125, P178 5200 PRASHER RS, 2005, INTEL TECHNOL J, V9, P285 5201 SINHA S, 2005, J APPL PHYS, V97 5202 VENKATASUBRAMANIAN R, 2001, NATURE, V413, P597 5203 WANG P, 2003, UNPUB P PAC RIMASME 5204 WANG P, 2005, UNPUB P PAC RIMASME 5205 WANG P, 2006, J APPL PHYS, V100 5206 WANG P, 2006, P ASME INT MECH ENG 5207 WANG P, 2006, UNPUB P 13 INT HEAT 5208 WANG P, 2007, UNPUB P PAC RIMASME 5209 WATWE A, 2003, UNPUB P PAC RIMASME 5210 YANG B, 2006, UNPUB P 56 EL COMP T, P997 5211 YOVANOVICH MM, 2003, J ELECTRON PACKAGING, V125, P169 5212 ZHANG Y, 2004, APPL PHYS LETT, V85, P2977 5213 NR 29 5214 TC 0 5215 PU AMER INST PHYSICS 5216 PI MELVILLE 5217 PA CIRCULATION & FULFILLMENT DIV, 2 HUNTINGTON QUADRANGLE, STE 1 N O 1, 5218 MELVILLE, NY 11747-4501 USA 5219 SN 0021-8979 5220 J9 J APPL PHYS 5221 JI J. Appl. Phys. 5222 PD AUG 1 5223 PY 2007 5224 VL 102 5225 IS 3 5226 AR 034503 5227 DI ARTN 034503 5228 PG 11 5229 SC Physics, Applied 5230 GA 207GW 5231 UT ISI:000249240600095 5232 ER 5233 5234 PT J 5235 AU Beck, P 5236 Gunter, S 5237 Anders, M 5238 Watkins, B 5239 Lusby, K 5240 Hubbell, D 5241 AF Beck, P. 5242 Gunter, S. 5243 Anders, M. 5244 Watkins, B. 5245 Lusby, K. 5246 Hubbell, D. 5247 TI Effect of pasture management practices on animal performance and 5248 nutrient runoff. 5249 SO JOURNAL OF ANIMAL SCIENCE 5250 LA English 5251 DT Meeting Abstract 5252 DE small grain; tillage; nutrient runoff 5253 C1 Univ Arkansas, Div Agr, Fayetteville, AR 72701 USA. 5254 NR 0 5255 TC 0 5256 PU AMER SOC ANIMAL SCIENCE 5257 PI SAVOY 5258 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 5259 SN 0021-8812 5260 J9 J ANIM SCI 5261 JI J. Anim. Sci. 5262 PY 2007 5263 VL 85 5264 SU Suppl. 2 5265 BP 18 5266 EP 19 5267 PG 2 5268 SC Agriculture, Dairy & Animal Science 5269 GA 207TC 5270 UT ISI:000249273000050 5271 ER 5272 5273 PT J 5274 AU Winterholler, SJ 5275 Hudson, MD 5276 Horn, GW 5277 Krehbiel, CR 5278 Lalman, DL 5279 AF Winterholler, S. J. 5280 Hudson, M. D. 5281 Horn, G. W. 5282 Krehbiel, C. R. 5283 Lalman, D. L. 5284 TI Performance and economic assessment of two management systems for 5285 spring-born calves. 5286 SO JOURNAL OF ANIMAL SCIENCE 5287 LA English 5288 DT Meeting Abstract 5289 DE economics; steers; systems 5290 C1 Oklahoma State Univ, Stillwater, OK 74078 USA. 5291 NR 0 5292 TC 0 5293 PU AMER SOC ANIMAL SCIENCE 5294 PI SAVOY 5295 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 5296 SN 0021-8812 5297 J9 J ANIM SCI 5298 JI J. Anim. Sci. 5299 PY 2007 5300 VL 85 5301 SU Suppl. 2 5302 BP 31 5303 EP 31 5304 PG 1 5305 SC Agriculture, Dairy & Animal Science 5306 GA 207TC 5307 UT ISI:000249273000087 5308 ER 5309 5310 PT J 5311 AU Fike, G 5312 King, M 5313 AF Fike, G. 5314 King, M. 5315 TI Feedlot performance, management factors, and carcass traits by 5316 Certified Angus Beef (R) acceptance rate classes. 5317 SO JOURNAL OF ANIMAL SCIENCE 5318 LA English 5319 DT Meeting Abstract 5320 DE carcass; feedlot; performance 5321 C1 Certified Angus Beef LLC, Manhattan, KS USA. 5322 NR 0 5323 TC 0 5324 PU AMER SOC ANIMAL SCIENCE 5325 PI SAVOY 5326 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 5327 SN 0021-8812 5328 J9 J ANIM SCI 5329 JI J. Anim. Sci. 5330 PY 2007 5331 VL 85 5332 SU Suppl. 2 5333 BP 55 5334 EP 56 5335 PG 2 5336 SC Agriculture, Dairy & Animal Science 5337 GA 207TC 5338 UT ISI:000249273000154 5339 ER 5340 5341 PT J 5342 AU Linneen, SK 5343 Dritz, SS 5344 Goodband, RD 5345 Tokach, MD 5346 DeRouchey, JM 5347 Nelssen, JL 5348 AF Linneen, S. K. 5349 Dritz, S. S. 5350 Goodband, R. D. 5351 Tokach, M. D. 5352 DeRouchey, J. M. 5353 Nelssen, J. L. 5354 TI The effects of frequent out-of-feed events on growth performance of 5355 nursery, grower, and finisher pigs. 5356 SO JOURNAL OF ANIMAL SCIENCE 5357 LA English 5358 DT Meeting Abstract 5359 DE pigs; feed management; feed availability 5360 C1 Kansas State Univ, Manhattan, KS 66506 USA. 5361 NR 0 5362 TC 0 5363 PU AMER SOC ANIMAL SCIENCE 5364 PI SAVOY 5365 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 5366 SN 0021-8812 5367 J9 J ANIM SCI 5368 JI J. Anim. Sci. 5369 PY 2007 5370 VL 85 5371 SU Suppl. 2 5372 BP 109 5373 EP 109 5374 PG 1 5375 SC Agriculture, Dairy & Animal Science 5376 GA 207TC 5377 UT ISI:000249273000310 5378 ER 5379 5380 PT J 5381 AU Luebbe, MK 5382 Erickson, GE 5383 Klopfenstein, TJ 5384 Greenquist, MA 5385 AF Luebbe, M. K. 5386 Erickson, G. E. 5387 Klopfenstein, T. J. 5388 Greenquist, M. A. 5389 TI Effect of wet distillers grains level on feedlot cattle performance and 5390 nitrogen mass balance. 5391 SO JOURNAL OF ANIMAL SCIENCE 5392 LA English 5393 DT Meeting Abstract 5394 DE cattle; nitrogen; waste management 5395 C1 Univ Nebraska, Lincoln, NE 68583 USA. 5396 NR 0 5397 TC 0 5398 PU AMER SOC ANIMAL SCIENCE 5399 PI SAVOY 5400 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 5401 SN 0021-8812 5402 J9 J ANIM SCI 5403 JI J. Anim. Sci. 5404 PY 2007 5405 VL 85 5406 SU Suppl. 2 5407 BP 130 5408 EP 131 5409 PG 2 5410 SC Agriculture, Dairy & Animal Science 5411 GA 207TC 5412 UT ISI:000249273000373 5413 ER 5414 5415 PT J 5416 AU Schutz, J 5417 Wagner, J 5418 Engle, T 5419 Sharman, E 5420 AF Schutz, J. 5421 Wagner, J. 5422 Engle, T. 5423 Sharman, E. 5424 TI Effect of feeding frequency on feedlot steer performance. 5425 SO JOURNAL OF ANIMAL SCIENCE 5426 LA English 5427 DT Meeting Abstract 5428 DE feeding frequency; feedlot management; performance 5429 C1 Colorado State Univ, Ft Collins, CO 80523 USA. 5430 NR 0 5431 TC 0 5432 PU AMER SOC ANIMAL SCIENCE 5433 PI SAVOY 5434 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 5435 SN 0021-8812 5436 J9 J ANIM SCI 5437 JI J. Anim. Sci. 5438 PY 2007 5439 VL 85 5440 SU Suppl. 2 5441 BP 165 5442 EP 166 5443 PG 2 5444 SC Agriculture, Dairy & Animal Science 5445 GA 207TC 5446 UT ISI:000249273000476 5447 ER 5448 5449 PT J 5450 AU Morse, S 5451 Bennett, R 5452 Ismael, Y 5453 AF Morse, S. 5454 Bennett, R. 5455 Ismael, Y. 5456 TI Isolating the 'farmer' effect as a component of the advantage of 5457 growing genetically modified varieties in developing countries: a Bt 5458 cotton case study from Jalgaon, India 5459 SO JOURNAL OF AGRICULTURAL SCIENCE 5460 LA English 5461 DT Article 5462 ID PINK-BOLLWORM; PERFORMANCE; MAHARASHTRA; RESISTANCE; CHINA 5463 AB The present paper explores the 'farmer' effect in economic advantages 5464 often claimed for Bt cotton varieties (those with the endotoxin gene 5465 from Bacillus thuringiensis conferring resistance to some insect pests) 5466 compared to non-Bt varieties. Critics claim that much of the yield 5467 advantage of Bt cotton could be due to the fact that farmers adopting 5468 the technology are in a better position to provide inputs and 5469 management and so much of any claimed Bt advantage is an artefact 5470 rather than reflecting a real advantage of the variety per se. The 5471 present paper provides an in-depth analysis of 63 non-adopting and 94 5472 adopting households of Bt cotton in Jalgaon, Maharashtra State, India, 5473 spanning the seasons 2002 and 2003. Results suggest that Bt adopters 5474 are indeed different from non-adopters in a number of ways. Adopters 5475 appear to specialize more on cotton (at least in terms of the land area 5476 they devote to the crop), spend more money on irrigation and grow 5477 well-performing non-Bt varieties of cotton (Bunny). Taking gross margin 5478 as the basis for comparison, Bt plots had 2.5 times the gross margin of 5479 non-Bt plots in both seasons. If only adopters are considered then the 5480 gross margin advantage of Bt plots reduces to 1.6 times that of non-Bt 5481 plots. This is still a significant advantage and could well explain the 5482 popularity of Bt in Maharashtra. However, it is clear that great care 5483 needs to be taken with such comparative studies. 5484 C1 Univ Reading, Dept Geog, Reading RG6 6AB, Berks, England. 5485 Univ Reading, Dept Agr & Food Econ, Reading RG6 2AR, Berks, England. 5486 RP Morse, S, Univ Reading, Dept Geog, Reading RG6 6AB, Berks, England. 5487 EM s.morse@reading.ac.uk 5488 CR *GMWATCH, 2005, MOR STUD CONF FAIL B 5489 *NUFF COUNC BIOETH, 2003, US GEN MOD CROP DEV 5490 ARENDSKUENNING M, 2000, AM BEHAV SCI, V44, P318 5491 BARWALE RB, 2004, AGBIOFORUM, V7, P23 5492 BENNETT R, 2006, REV AGR ECON, V28, P59 5493 BENNETT RM, 2004, AGBIOFORUM, V7, P96 5494 CROST B, 2007, J AGR ECON, V58, P24 5495 DEGRASSI A, 2003, GENETICALLY MODIFIED 5496 DELMER DP, 2005, P NATL ACAD SCI USA, V102, P15739 5497 GONZALEZCABRERA J, 2003, INSECT BIOCHEM MOLEC, V33, P929 5498 HILLOCKS RJ, 2005, INT J PEST MANAGE, V51, P131 5499 HOSSAIN F, 2004, INT J OCCUP ENV HEAL, V10, P296 5500 JAYARAMAN KS, 2005, NAT BIOTECHNOL, V23, P158 5501 KAMBHAMPATI U, 2006, OUTLOOK AGR, V35, P291 5502 KRANTHI KR, 2004, CURR SCI INDIA, V87, P1096 5503 MORSE S, 2005, CROP PROT, V24, P433 5504 ORTON L, 2003, GM CROPS GOING GRAIN 5505 PEMSL D, 2004, CROP PROT, V23, P1249 5506 QAIM M, 2003, SCIENCE, V299, P900 5507 QAIM M, 2003, WORLD DEV, V31, P2115 5508 QAIM M, 2006, REV AGR ECON, V28, P48 5509 RUSSELL D, 2006, CAH AGRIC, V15, P54 5510 TABASHNIK BE, 2000, P NATL ACAD SCI USA, V97, P12980 5511 NR 23 5512 TC 0 5513 PU CAMBRIDGE UNIV PRESS 5514 PI NEW YORK 5515 PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA 5516 SN 0021-8596 5517 J9 J AGR SCI 5518 JI J. Agric. Sci. 5519 PD OCT 5520 PY 2007 5521 VL 145 5522 PN Part 5 5523 BP 491 5524 EP 500 5525 PG 10 5526 SC Agriculture, Multidisciplinary 5527 GA 209KC 5528 UT ISI:000249386400007 5529 ER 5530 5531 PT J 5532 AU Bres, CS 5533 Huang, YK 5534 Glesk, I 5535 Prucnal, PR 5536 AF Bres, Camille-Sophie 5537 Huang, Yue-Kai 5538 Glesk, Ivan 5539 Prucnal, Paul R. 5540 TI Scalable asynchronous incoherent optical CDMA [invited] 5541 SO JOURNAL OF OPTICAL NETWORKING 5542 LA English 5543 DT Article 5544 ID DIVISION MULTIPLE-ACCESS; HOPPING PRIME CODES; LOCAL-AREA; NETWORKS; 5545 OCDMA; SYSTEMS; ROUTER; FAMILY 5546 AB We present and review several aspects of incoherent optical 5547 code-division multiple access (OCDMA), focusing on the flexible 5548 bandwidth allocation and its potential for future optical networks. We 5549 briefly present the various OCDMA approaches, coherent and incoherent, 5550 before focusing on the later and more specifically temporal 1D and 2D 5551 wavelength-hopping time spreading. We then concentrate on the 5552 properties specific to such schemes allowing for its increased 5553 scalability and flexibility. The main coding properties are reviewed, 5554 and the multicode property for increased performance and security is 5555 described. Several subsystems are presented to allow the compatibility 5556 of OCDMA on multihop networks where the properties of OCDMA would allow 5557 shifting some management functions down to the physical layer creating 5558 an optical layer with enhanced functionalities. (C) 2007 Optical 5559 Society of America. 5560 C1 Princeton Univ, Dept Elect Engn, Princeton, NJ 08540 USA. 5561 RP Bres, CS, Princeton Univ, Dept Elect Engn, Princeton, NJ 08540 USA. 5562 EM cbres@princeton.edu 5563 CR *LITTL OPT INC, 2003, EC VER LARG SCAL INT 5564 BABY V, 2004, ELECTRON LETT, V40, P755 5565 BABY V, 2006, OPTICAL CODE DIVISIO 5566 BRES CS, 2005, IEEE PHOTONIC TECH L, V17, P1088 5567 BRES CS, 2005, OPT COMMUN, V254, P58 5568 BRES CS, 2006, IEEE PHOTONIC TECH L, V18, P2314 5569 BRES CS, 2006, IEEE PHOTONIC TECH L, V18, P2889 5570 BRES CS, 2006, J OPT NETW, V5, P915 5571 BRES CS, 2007, OPT COMMUN, V271, P2314 5572 CHEN LR, 2000, IEEE PHOTONIC TECH L, V12, P1281 5573 CHUNG FRK, 1989, IEEE T INFORM THEORY, V35 5574 DENG KL, 1997, IEEE PHOTONIC TECH L, V9, P1496 5575 GLESK I, 2006, ELECTRON LETT, V42, P1115 5576 GOLDBERG S, IN PRESS IEEE T COMM 5577 HASSAN AA, 1995, IEEE J SEL AREA COMM, V13, P609 5578 HSU CC, 2007, IEEE COMMUN LETT, V11, P170 5579 HUANG YK, 2005, IEEE PHOTONIC TECH L, V17, P825 5580 KITAYAMA K, 2000, J LIGHTWAVE TECHNOL, V18, P1834 5581 KWONG WC, 1998, IEEE COMMUN LETT, V2, P285 5582 KWONG WC, 2002, PRIME CODES APPL CDM 5583 KWONG WC, 2004, IEEE T COMMUN, V52, P1084 5584 KWONG WC, 2005, J LIGHTWAVE TECHNOL, V23, P3653 5585 MARIC SV, 1993, IEEE T COMMUN, V41, P1217 5586 MENENDEZ RC, 2005, J LIGHTWAVE TECHNOL, V23, P3219 5587 NARIMANOV E, 2005, IEEE T COMMUN, V53, P2150 5588 NGUYEN L, 1995, ELECTRON LETT, V31, P469 5589 PRUNCAL PR, OPTICAL CODE DIVISIO 5590 PRUNCAL PR, 1986, ELECTRON LETT, V4, P547 5591 PRUNCAL PR, 1991, IEEE PHOTONIC TECH L, V4, P170 5592 SAMPSON DD, 2000, ELECTRON LETT, V36, P445 5593 SOKOLOFF JP, 1993, IEEE PHOTONIC TECH L, V5, P787 5594 STOK A, 2000, IEEE NETWORK, V14, P42 5595 TANCEVSKI L, 1994, ELECTRON LETT, V30, P721 5596 TANCEVSKI L, 1996, IEE P-OPTOELECTRON, V143, P161 5597 TANCEVSKI L, 1996, J LIGHTWAVE TECHNOL, V14, P2636 5598 WANG X, 2005, OPT EXPRESS, V13, P5499 5599 WEN JH, 2003, IEE P-COMMUN, V150, P404 5600 XU L, 2004, 17 ANN M IEEE LAS EL, V2, P591 5601 YANG GC, 1996, IEEE T COMMUN, V44, P184 5602 YU K, 1999, ELECTRON LETT, V35, P830 5603 ZACCARIN D, 1993, IEEE PHOTONIC TECH L, V4, P479 5604 NR 41 5605 TC 0 5606 PU OPTICAL SOC AMER 5607 PI WASHINGTON 5608 PA 2010 MASSACHUSETTS AVE NW, WASHINGTON, DC 20036 USA 5609 SN 1536-5379 5610 J9 J OPT NETW 5611 JI J. Opt. Netw. 5612 PD JUN 1 5613 PY 2007 5614 VL 6 5615 IS 6 5616 BP 599 5617 EP 615 5618 PG 17 5619 SC Computer Science, Hardware & Architecture; Computer Science, 5620 Information Systems; Optics; Telecommunications 5621 GA 204LH 5622 UT ISI:000249044800003 5623 ER 5624 5625 PT J 5626 AU Wang, PS 5627 Simon, GE 5628 Avorn, J 5629 Azocar, F 5630 Ludman, EJ 5631 McCulloch, J 5632 Petukhova, MZ 5633 Kessler, RC 5634 AF Wang, Philip S. 5635 Simon, Gregory E. 5636 Avorn, Jerry 5637 Azocar, Francisca 5638 Ludman, Evette J. 5639 McCulloch, Joyce 5640 Petukhova, Maria Z. 5641 Kessler, Ronald C. 5642 TI Telephone screening, outreach, and care management for depressed 5643 workers and impact on clinical and work productivity outcomes - A 5644 randomized controlled trial 5645 SO JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION 5646 LA English 5647 DT Article 5648 ID COMORBIDITY SURVEY REPLICATION; PERFORMANCE QUESTIONNAIRE HPQ; 5649 HEALTH-ORGANIZATION HEALTH; SERIOUS MENTAL-ILLNESS; COLLABORATIVE CARE; 5650 UNITED-STATES; COST-EFFECTIVENESS; MAJOR DEPRESSION; SYMPTOMATOLOGY 5651 IDS; ANXIETY DISORDERS 5652 AB Context Although guideline-concordant depression treatment is clearly 5653 effective, treatment often falls short of evidence-based 5654 recommendations. Organized depression care programs significantly 5655 improve treatment quality, but employer purchasers have been slow to 5656 adopt these programs based on lack of evidence for cost-effectiveness 5657 from their perspective. 5658 Objective To evaluate the effects of a depression outreach-treatment 5659 program on workplace outcomes, a concern to employers. 5660 Design, Setting, and Participants A randomized controlled trial 5661 involving 604 employees covered by a managed behavioral health plan 5662 were identified in a 2-stage screening process as having significant 5663 depression. Patient treatment allocation was concealed and assessment 5664 of depression severity and work performance at months 6 and 12 was 5665 blinded. Employees with lifetime bipolar disorder, substance disorder, 5666 recent mental health specialty care, or suicidality were excluded. 5667 Intervention A telephonic outreach and care management program 5668 encouraged workers to enter outpatient treatment (psychotherapy and/or 5669 antidepressant medication), monitored treatment quality continuity, and 5670 attempted to improve treatment by giving recommendations to providers. 5671 Participants reluctant to enter treatment were offered a structured 5672 telephone cognitive behavioral psychotherapy. 5673 Main Outcome Measures Depression severity (Quick Inventory of 5674 Depressive Symptomatology, QIDS) and work performance (World Health 5675 Organization Health and Productivity Questionnaire [HPQ], a validated 5676 self-report instrument assessing job retention, time missed from work, 5677 work performance, and critical workplace incidents). 5678 Results Combining data across 6- and 12-month assessments, the 5679 intervention group had significantly lower QIDS self-report scores 5680 (relative odds of recovery, 1.4; 95% confidence interval, 1.1-2.0; P = 5681 .009), significantly higher job retention (relative odds, 1.7; 95% 5682 confidence interval, 1.1-3.3; P = .02), and significantly more hours 5683 worked among the intervention (beta = 2.0; P = .02; equivalent to an 5684 annualized effect of 2 weeks of work) than the usual care groups that 5685 were employed. 5686 Conclusions A systematic program to identify depression and promote 5687 effective treatment significantly improves not only clinical outcomes 5688 but also workplace outcomes. 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5766 SPITZER RL, 1999, JAMA-J AM MED ASSOC, V282, P1737 5767 STEWART WF, 2003, JAMA-J AM MED ASSOC, V289, P3135 5768 STURM R, 2001, PSYCHIATR SERV, V52, P738 5769 TUTTY S, 2000, EFFECTIVE CLIN PRACT, V3, P170 5770 UNUTZER J, 2002, JAMA-J AM MED ASSOC, V288, P2836 5771 VONKORFF M, 1992, ARCH GEN PSYCHIAT, V49, P91 5772 VONKORFF M, 1998, PSYCHOSOM MED, V60, P143 5773 WANG PS, 2000, J GEN INTERN MED, V15, P284 5774 WANG PS, 2002, AM J PUBLIC HEALTH, V92, P92 5775 WANG PS, 2002, MED CARE, V40, P752 5776 WANG PS, 2003, INT J METH PSYCH RES, V12, P22 5777 WANG PS, 2003, J OCCUP ENVIRON MED, V45, P1303 5778 WANG PS, 2005, ARCH GEN PSYCHIAT, V62, P629 5779 WANG PS, 2006, ARCH GEN PSYCHIAT, V63, P1345 5780 WELLS KB, 1989, JAMA-J AM MED ASSOC, V262, P914 5781 WELLS KB, 2000, JAMA-J AM MED ASSOC, V283, P212 5782 YOUNG AS, 2001, ARCH GEN PSYCHIAT, V58, P55 5783 NR 83 5784 TC 1 5785 PU AMER MEDICAL ASSOC 5786 PI CHICAGO 5787 PA 515 N STATE ST, CHICAGO, IL 60610-0946 USA 5788 SN 0098-7484 5789 J9 JAMA-J AM MED ASSN 5790 JI JAMA-J. Am. Med. Assoc. 5791 PD SEP 26 5792 PY 2007 5793 VL 298 5794 IS 12 5795 BP 1401 5796 EP 1411 5797 PG 11 5798 SC Medicine, General & Internal 5799 GA 213WV 5800 UT ISI:000249698900019 5801 ER 5802 5803 PT J 5804 AU Tuominen, P 5805 Ranta, J 5806 Maijala, R 5807 AF Tuominen, Pirkko 5808 Ranta, Jukka 5809 Maijala, Rlitta 5810 TI Studying the effects of POs and MCs on the Salmonella ALOP with a 5811 quantitative risk assessment model for beef production 5812 SO INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY 5813 LA English 5814 DT Article 5815 DE appropriate level of protection; performance objective; microbiological 5816 criteria; quantitative microbiological risk assessment; meat; Salmonella 5817 ID FOOD SAFETY OBJECTIVES; CONTROL PROGRAM; MANAGEMENT; CATTLE; 5818 PREVALENCE; INFECTION 5819 AB The Finnish Salmonella Control Programme and the special guarantees 5820 (SG) of import concerning Salmonella in the beef production chain were 5821 examined within the risk analysis framework. The appropriate level of 5822 protection (ALOP de facto since not referred to as ALOP in regulation), 5823 performance objectives (PO), and microbiological criteria (MC) were 5824 identified along the beef production chain. A quantitative 5825 microbiological risk assessment (QMRA) model using the Bayesian 5826 probabilistic method was developed for the beef chain to evaluate the 5827 capability of different POs to contribute to the ALOP. The influence of 5828 SGs was studied as an intervention protecting Finnish consumers. The 5829 QMRA made it possible to translate an ALOP without a stated food safety 5830 objective (FSO) to POs when implemented for both ready-to-eat (RTE) and 5831 non-RTE products. According to the results, the Finnish ALOP de facto 5832 for beef, beef preparations and products (10 human Salmonella cases/ 5833 100,000) was reached in all of the years 1996-2004. However, if the 5834 prevalence at the slaughter, domestic cut beef, and retail levels would 5835 increase to the level of POs set (maximum 1%), the ALOP de facto would 5836 be exceeded by a factor of roughly two. On the other hand, the zero 5837 tolerance applied to MCS Would keep the true Salmonella prevalence at 5838 production steps with POs clearly below 1%, and the ALOP would then be 5839 achievable. The influence of SGs on the total exposure was so small 5840 (average 0.1% added to the total prevalence of beef-derived foods at 5841 retail) that their relevance may be doubted with the current amount and 5842 Salmonella prevalence in beef-derived imports. On the other hand, a 5843 change in import profile could increase the protective effect of the 5844 SGs. Although practical follow-up has to be carried out as apparent 5845 prevalences, the objectives and criteria should be estimated as true 5846 prevalences and incidences with quantified uncertainties in order to 5847 achieve a sound, transparent scientific -based understanding of the 5848 risk. The QMRA model developed here provided a useful tool for studying 5849 the connection between the ALOP and other targets in the production 5850 chain. (c) 2007 Elsevier B.V. All rights reserved. 5851 C1 EVIRA, Risk Assessment Unit, Helsinki 00790, Finland. 5852 Univ Helsinki, Dept Foos & Environm Hyg, FIN-00014 Helsinki, Finland. 5853 RP Tuominen, P, EVIRA, Risk Assessment Unit, Mustialankatu 3, Helsinki 5854 00790, Finland. 5855 EM pirkko.tuominen@evira.fi 5856 CR 1994, FINNISH SALMONELLA C 5857 1994, OFFICIAL J EUROPEA L, V371, P36 5858 1995, OFFICIAL J EUROPEAN, V271, P17 5859 1995, WTO AGREEMENT APPL S 5860 1997, PRINCIPLES ESTABLISH 5861 1998, DIETARY SURVEY FINNI 5862 1999, PRINCIPLES GUIDELINE 5863 1999, SALMONELLA, V71 5864 2000, ANN REPORT 1999 5865 2002, 6579 ENISO 5866 2002, RISK ASSESSMENTS SAL, V1 5867 2003, PROPOSED DRAFT PRINC 5868 2003, TRENDS SOURCES ZOONO 5869 2004, REPORT 20 SESSION CO 5870 2005, OFFICIAL J EUROPEA L, V338, P1 5871 2005, PROPOSED DRAFT PRINC 5872 2005, PUBLICATION NATL PUB 5873 2005, STAT YB FINLAND 5874 *FAO WHO, 2002, RISK ASS SALM EGGS B 5875 *USDA FSIS, 1998, SALMONELLA ENTERITID 5876 BERNARDO JM, 2000, BAYESIAN THEORY 5877 COX LA, 2007, RISK ANAL, V27, P27 5878 DALKEY N, 1969, RM5888PR RAND CORP 5879 DESWARTE C, 2005, FOOD CONTROL, V16, P825 5880 GARDNER IA, 2004, J FOOD PROTECT, V67, P2000 5881 GORRIS LGM, 2005, FOOD CONTROL, V16, P801 5882 GRAM L, 2004, CONTROL LISTERIA MON, V95, P59 5883 HALD T, 2004, RISK ANAL, V24, P255 5884 HANKONEN P, 1996, SUOMEN ELAINLAAKARIL, V7, P428 5885 HATAKKA M, 2000, AJANKOHTAISTA EELAST, V3, P4 5886 HAVELAAR AH, 2004, INT J FOOD MICROBIOL, V93, P11 5887 HOPP P, 1999, ACTA VET SCAND S, V91, P45 5888 KOUVO L, 1999, SALMONELLAN ESIINTYV, V105, P14 5889 KURONEN H, 2006, RES SALMONELLA DETEC 5890 LINDQVIST N, 1999, EPIDEMIOL INFECT, V122, P497 5891 LINDQVIST N, 2002, J CLIN MICROBIOL, V40, P3648 5892 MAIJALA R, 2003, SALMONELLA RISK BROI 5893 MAIJALA R, 2005, FOOD CONTROL, V16, P669 5894 MAIJALA R, 2005, INT J FOOD MICROBIOL, V102, P21 5895 PITT JI, 2003, MITTEILUNGEN LEBENSM, V95, P52 5896 RANTA J, 2005, RISK ANAL, V25, P23 5897 REIJ MW, 2004, INT J FOOD MICROBIOL, V91, P1 5898 RUOHO O, 1998, 20 WORLD BUIATR C JU, P885 5899 SANDBERG M, 2002, INT J FOOD MICROBIOL, V72, P1 5900 SPIEGELHALTER DJ, 2000, HLTH TECHNOLOGY ASSE, V4 5901 STRINGER M, 2005, FOOD CONTROL, V16, P775 5902 TODD ECD, 2003, MEAT SCI, V66, P33 5903 TUOMINEN P, 2006, J FOOD PROTECT, V69, P1814 5904 VANSCHOTHORST M, 2005, FOOD CONTROL, V16, P811 5905 ZWIETERING M, 2005, FOOD CONTROL, V16, P817 5906 NR 50 5907 TC 0 5908 PU ELSEVIER SCIENCE BV 5909 PI AMSTERDAM 5910 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 5911 SN 0168-1605 5912 J9 INT J FOOD MICROBIOL 5913 JI Int. J. Food Microbiol. 5914 PD AUG 15 5915 PY 2007 5916 VL 118 5917 IS 1 5918 BP 35 5919 EP 51 5920 PG 17 5921 SC Food Science & Technology; Microbiology 5922 GA 206DF 5923 UT ISI:000249163400006 5924 ER 5925 5926 PT J 5927 AU Kozan, MK 5928 Ergin, C 5929 Varoglu, D 5930 AF Kozan, M. Kamil 5931 Ergin, Canan 5932 Varoglu, Demet 5933 TI Third party intervention - strategies of managers in subordinates' 5934 conflicts in Turkey 5935 SO INTERNATIONAL JOURNAL OF CONFLICT MANAGEMENT 5936 LA English 5937 DT Article 5938 DE conflict management; management strategy; management techniques; Turkey 5939 ID DISPUTE INTERVENTION; PRESCRIPTIVE MODEL; TURKISH; ORGANIZATIONS; 5940 RESOLUTION; PERFORMANCE; MEDIATION; SELECTION; FAIRNESS; CULTURE 5941 AB Purpose - The purpose of this paper is to investigate strategies used 5942 by managers when intervening in subordinates' conflicts and the factors 5943 affecting choice of strategy in Turkish organizations, where heavy 5944 emphasis is placed on intermediaries in managing conflicts. 5945 Design/methodology/approach - Data were collected by means of a 5946 questionnaire from 392 employees of a convenience sample of 59 5947 organizations, most of which were located in Ankara. 5948 Findings - Factor analysis results showed that managers utilize as many 5949 as five strategies: mediation, inquisitorial (similar to arbitration), 5950 motivational tactics, conflict reduction through restructuring, and 5951 educating the parties. The conditions under which these strategies are 5952 used were analyzed by regression. Harmony emphasis in the organization 5953 led to increased use of mediation. However, harmony emphasis, when 5954 coupled with a low degree of delegation of authority to subordinates, 5955 resulted in increased use of the inquisitorial strategy. Harmony 5956 emphasis, when combined with substantive (as opposed to personal) 5957 conflicts and with high impact conflicts led to educating the 5958 subordinates. Motivational tactics were used more when the conflict had 5959 high impact at the workplace and had escalated or threatened to get out 5960 of control. 5961 Research limitations/implications - Readers are cautioned on possible 5962 common factor bias; relations between variables may have emerged as a 5963 result of the data being reported by the same respondent. 5964 Originality/value - The findings have research implications for future 5965 studies and for training of managers for conflict intervention in 5966 collectivistic cultures. 5967 C1 St John Fisher Coll, Sch Business, Rochester, NY 14618 USA. 5968 Bahcesehir Univ, Fac Arts & Sci, Istanbul, Turkey. 5969 TOBB Univ Econ & Technol, Fac Econ & Adm Sci, Ankara, Turkey. 5970 RP Kozan, MK, St John Fisher Coll, Sch Business, Rochester, NY 14618 USA. 5971 EM kozan@sjfc.edu 5972 CR AMASON AC, 1997, USING CONFLICT ORG, P101 5973 CARNEVALE P, 1986, NEGOTIATING ORG, P51 5974 CHO Y, 1989, CONFLICT MANAGEMENT, P15 5975 COHEN R, 1991, NEGOTIATION ACROSS C 5976 DEDREU CKW, 2003, J APPL PSYCHOL, V88, P741 5977 DINDI H, 1989, TURKISH CULTURE AM 5978 ELANGOVAN AR, 1995, ACAD MANAGE REV, V20, P800 5979 ELANGOVAN AR, 1995, INT J CONFL MANAGE, V6, P124 5980 ELANGOVAN AR, 1998, INT J CONFL MANAGE, V9, P301 5981 FIKRETPASA S, 2000, LEADERSHIP ORG DEV J, V21, P414 5982 FLANAGAN JC, 1954, PSYCHOL BULL, V51, P327 5983 GOREGENLI M, 1995, TURK PSIKOL DERG, V10, P1 5984 HOFSTEDE G, 1984, CULTURES CONSEQUENCE 5985 IRANI GE, 1999, MIDDLE E REV INT AFF, V3 5986 KAGITCIBASI C, 1994, INDIVIDUALISM COLLEC, P52 5987 KARAMBAYYA R, 1989, ACAD MANAGE J, V32, P687 5988 KIPNIS D, 1983, NEGOTIATING ORG, P303 5989 KIRAY MB, 1984, TURKIYEDE AILENIN DE, P69 5990 KOLB D, 1986, RES NEGOTIATION ORG, P207 5991 KOZAN MK, 1994, J ORGAN BEHAV, V15, P453 5992 KOZAN MK, 1998, J CROSS CULT PSYCHOL, V29, P525 5993 KOZAN MK, 1999, HUM ORGAN, V58, P405 5994 LEDERACH JP, 1991, CONFLICT RESOLUTION, P165 5995 LEDERACH JP, 1995, PREPARING PEACE CONF 5996 LEUNG K, 1987, J PERS SOC PSYCHOL, V53, P898 5997 LEWICKI RJ, 1985, J OCCUP BEHAV, V6, P49 5998 LISSAK RI, 1983, J APPL SOC PSYCHOL, V13, P45 5999 MELLAHI K, 2001, TOTAL QUAL MANAGE, V12, P745 6000 NUGENT PS, 2002, ACAD MANAGE EXEC, V16, P139 6001 OZARALLI N, 2003, LEADERSHIP ORG DEV J, V24, P335 6002 PASA SF, 2001, APPL PSYCHOL-INT REV, V50, P559 6003 PELLEGRINI EK, 2006, J INT BUS STUD, V37, P264 6004 PHALET K, 1993, J CROSS CULT PSYCHOL, V24, P319 6005 PINKLEY RL, 1995, J APPL PSYCHOL, V80, P186 6006 RONEN S, 1986, COMP MULTINATIONAL M 6007 ROSS WH, 2000, ACAD MANAGE REV, V25, P416 6008 RUBIN JZ, 1975, SOCIAL PSYCHOL BARGA 6009 RUBIN JZ, 1983, NEGOTIATING ORG, P214 6010 RUBIN JZ, 1994, SOCIAL CONFLICT ESCA 6011 SHEPPARD BH, 1983, NEGOTIATING ORG, P193 6012 SHEPPARD BH, 1984, RES ORGAN BEHAV, V6, P141 6013 STARR J, 1978, DISPUTING PROCESS LA, P122 6014 THIBAUT JW, 1975, PROCEDURAL JUSTICE P 6015 TINGTOOMEY S, 1991, INT J CONFL MANAGE, V2, P25 6016 TJOSVOLD D, 2002, INT J CONFL MANAGE, V13, P142 6017 TJOSVOLD D, 2005, HUM RELAT, V58, P341 6018 VANDEVLIERT E, 1994, INT J CONFL MANAGE, V5, P211 6019 WALL JA, 1991, J CONFLICT RESOLUT, V35, P3 6020 WALTON RE, 1987, MANAGING CONFLICT IN 6021 WHITE JB, 1994, MONEY MAKES US RELAT 6022 NR 50 6023 TC 0 6024 PU EMERALD GROUP PUBLISHING LIMITED 6025 PI BRADFORD 6026 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 6027 SN 1044-4068 6028 J9 INT J CONFL MANAGEMENT 6029 JI Int. J. Confl. Manage. 6030 PY 2007 6031 VL 18 6032 IS 2 6033 BP 128 6034 EP 147 6035 PG 20 6036 SC Communication; Management 6037 GA 193ZO 6038 UT ISI:000248313900003 6039 ER 6040 6041 PT J 6042 AU Weng, CE 6043 Lain, JK 6044 Shen, CH 6045 Wen, JH 6046 AF Weng, Chien-Erh 6047 Lain, Jenn-Kale 6048 Shen, Chia-Huei 6049 Wen, Jyh-Horng 6050 TI Uplink PID power control technique for TDMA-based cellular radio systems 6051 SO INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS 6052 LA English 6053 DT Article 6054 DE cellular systems; power control; PID controller; TDMA systems 6055 ID MOBILE RADIO; PERFORMANCE 6056 AB The efficient management of wireless resource is essential to the 6057 success of wireless systems. While power control is traditionally 6058 considered to be a means to counteract the detrimental effects of 6059 channel fading, it is also a flexible mechanism that achieves high link 6060 quality, high bandwidth utilization, and low power consumption, which 6061 are mainly driven in cellular radio systems. Once the power control 6062 algorithm provides a lower outage probability, the SUs experienced 6063 adequate link quality need not to competitively increase their 6064 transmission power. Spontaneously, the systems with lower power 6065 consumption and better bandwidth efficiency are achieved. In this 6066 paper, a novel power control based on the 6067 proportional-integration-derivative (PID) controller is proposed, and 6068 its performance with an autonomous closed-loop uplink power control 6069 model under the time division multiple access (TDMA) systems is 6070 presented. Computer simulation is used to illustrate the performance of 6071 the proposed power control algorithm in a cellular radio system With 6072 Rayleigh fading channels. The results show that our proposed power 6073 control algorithm is remarkably superior to several previous power 6074 control methods, especially in a short power control period. Copyright 6075 (C) 2006 John Wiley & Sons, Ltd. 6076 C1 Natl Yunlin Univ Sci & Technol, Inst Elect Engn, Yunlin, Taiwan. 6077 Natl Chung Cheng Univ, Inst Elect Engn, Chiayi 62117, Taiwan. 6078 RP Lain, JK, Natl Yunlin Univ Sci & Technol, Inst Elect Engn, Yunlin, 6079 Taiwan. 6080 EM lainjk@yuntech.edu.tw 6081 CR AEIN JM, 1973, COMSAT TECH REV, V3, P277 6082 ARIYAVISITAKUL S, 1993, ELECTRON LETT, V29, P694 6083 CHANG CJ, 1996, IEEE T VEH TECHNOL, V45, P522 6084 CHUANG JCI, 1991, IEEE T VEH TECHNOL, V40, P627 6085 CHUNG CI, 1991, IEEE T COMMUN, V39, P1157 6086 FRENCH RC, 1979, IEEE T VEH TECHNOL, V28, P171 6087 GOSLING W, 1980, P IEE F, V127, P174 6088 KIM DK, 2001, IEEE T VEH TECHNOL, V50, P452 6089 LAU FCM, 2002, IEEE T VEH TECHNOL, V51, P720 6090 LEE WCY, 1989, MOBILE CELLULAR TELE 6091 NETTLETON RW, 1982, P GLOB 82 MIAM FL 6092 NETTLETON RW, 1983, P IEEE VEH TECHN C, P242 6093 WALKER J, 1990, MOBILE INFORM SYSTEM 6094 WEN JH, 1998, IEICE T COMMUN EB, V81, P1231 6095 WEN JH, 1998, INT J COMMUN SYST, V11, P387 6096 ZANDER J, 1992, IEEE T VEH TECHNOL, V41, P305 6097 ZANDER J, 1992, IEEE T VEH TECHNOL, V41, P57 6098 NR 17 6099 TC 0 6100 PU JOHN WILEY & SONS LTD 6101 PI CHICHESTER 6102 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 6103 SN 1074-5351 6104 J9 INT J COMMUN SYST 6105 JI Int. J. Commun. Syst. 6106 PD SEP 6107 PY 2007 6108 VL 20 6109 IS 9 6110 BP 1097 6111 EP 1111 6112 PG 15 6113 SC Engineering, Electrical & Electronic; Telecommunications 6114 GA 206CS 6115 UT ISI:000249162100005 6116 ER 6117 6118 PT J 6119 AU Mader, TL 6120 Davis, MS 6121 Gaughan, JB 6122 AF Mader, T. L. 6123 Davis, M. S. 6124 Gaughan, J. B. 6125 TI Effect of sprinkling on feedlot microclimate and cattle behavior 6126 SO INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 6127 LA English 6128 DT Article 6129 DE heat stress; management; feedlot; microclimate; sprinkling; behavior 6130 ID HEAT-STRESS RELIEF; ENVIRONMENTAL TEMPERATURES; THERMAL-CONDUCTIVITY; 6131 MILK-PRODUCTION; DAIRY-COWS; PERFORMANCE; STRATEGIES; SHADE; PATTERNS 6132 AB Experiments were conducted to evaluate strategies designed to reduce 6133 heat stress of cattle. In the first experiment, cattle were sprinkled 6134 for 20 min every 1.5 h between 1000 hours and 1750 hours ( WET) versus 6135 not sprinkled ( DRY). In a second experiment, treatments consisted of: 6136 ( 1) control, no water application; ( 2) water applied to the pen 6137 surfaces between 1000 hours and 1200 hours ( AM); and ( 3) water 6138 applied to pen surfaces between 1400 hours and 1600 hours ( PM). In 6139 both experiments, sprinkling lowered ( P< 0.05) mid-afternoon 6140 temperatures. In the first experiment, relative humidity ( RH) of WET 6141 versus DRY pens differed ( P< 0.05) and averaged 72.4 and 68.9%, 6142 respectively. The average temperature-humidity index (THI) in WET pens 6143 was 0.5 units lower ( P< 0.05), than the THI in DRY pens. In the second 6144 experiment, RH in sprinkled pens was also greater ( P< 0.05) than RH in 6145 control ( CON) pens However, THI differed ( P< 0.05) among treatments, 6146 being 81.5, 80.9, and 80.3, respectively for CON, AM, and PM. Pens with 6147 sprinklers had a larger percentage of steers in areas where sprinkling 6148 took place, even on days when sprinkling had not occurred. Based on 6149 differences in percentage of cattle panting in sprinkled and 6150 non-sprinkled treatments, sprinkling was found to have a positive 6151 effect on cattle feeding area microclimate and to reduce the 6152 susceptibility of cattle to hyperthermia. However, cattle 6153 acclimatization to being sprinkled can result in slight hyperthermia 6154 even during cooler days when sprinkling would normally not be utilized. 6155 C1 Univ Nebraska, Haskell Agr Lab, Concord, NE 68728 USA. 6156 Univ Queensland, Sch Anim Studies, Gatton, Qld, Australia. 6157 Koers Turgeon Consulting Serv Inc, Salina, KS USA. 6158 Univ Nebraska, NE Res & Extens Ctr, Concord, NE 68728 USA. 6159 RP Mader, TL, Univ Nebraska, Haskell Agr Lab, 57905 866 Rd, Concord, NE 6160 68728 USA. 6161 EM tmader@unlnotes.unl.edu 6162 CR *LCI, 1970, PATT TRANS LOSS CONS 6163 *NOAA, 1976, C3176 NOAA 6164 ARMSTRONG DV, 1994, J DAIRY SCI, V77, P2044 6165 AUVERMANN BW, 2001, P PLAINS NUTR COUNC, P27 6166 BACCARI F, 1983, P SOC EXP BIOL MED, V173, P312 6167 BUSBY D, 1996, AS632 IOW STAT U, P108 6168 CAMPBELL GS, 1994, SOIL SCI, V158, P307 6169 CHAN SC, 1997, J DAIRY SCI, V80, P1172 6170 CHEN KH, 1993, J DAIRY SCI, V76, P819 6171 DAVIS MS, 2003, J ANIM SCI, V81, P649 6172 EALY AD, 1994, J DAIRY SCI, V77, P3601 6173 GONYOU HW, 1984, J ANIM SCI, V58, P1075 6174 HAHN GL, 1994, HDB AGR METEOROLOGY, P220 6175 HAHN GL, 1995, P S INT FEEDL CATTL, P207 6176 HAHN GL, 1997, P 5 INT LIV ENV S AM, P563 6177 HUBBARD KG, 1999, J PROD AGRIC, V12, P650 6178 IGONO MO, 1985, J DAIRY SCI, V68, P979 6179 KELLY CF, 1964, T ASAE, P34 6180 LIN JC, 1998, PROF ANIM SCI, V14, P102 6181 MADER TL, 1997, J ANIM SCI, V75, P26 6182 MADER TL, 1999, J ANIM SCI, V77, P2065 6183 MADER TL, 1999, PROF ANIM SCI, V15, P53 6184 MADER TL, 2002, J ANIM SCI, V80, P2373 6185 MADER TL, 2003, J ANIM SCI S2, V81, E110 6186 MADER TL, 2004, J ANIM SCI, V82, P3077 6187 MONTY DE, 1978, AM J VET RES, V39, P877 6188 MORRISON SR, 1973, J ANIM SCI, V36, P428 6189 MORRISON SR, 1981, T AM SOC AGR ENG, V24, P1299 6190 REINHARDT CD, 1994, 704 KANS STAT AGR EX, P38 6191 SEPASKHAH AR, 1979, SOIL SCI SOC AM J, V43, P439 6192 TARAZONHERRERA M, 1999, J DAIRY SCI, V82, P2352 6193 THOM EC, 1959, WEATHERWISE, V12, P57 6194 WIERSMA F, 1973, T AM SOC AGR ENG, V16, P348 6195 WIERSMA FD, 1966, T AM SOC AGR ENG, P309 6196 WOLFENSON D, 1988, J DAIRY SCI, V71, P809 6197 NR 35 6198 TC 0 6199 PU SPRINGER 6200 PI NEW YORK 6201 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 6202 SN 0020-7128 6203 J9 INT J BIOMETEOROL 6204 JI Int. J. Biometeorol. 6205 PD AUG 6206 PY 2007 6207 VL 51 6208 IS 6 6209 BP 541 6210 EP 551 6211 PG 11 6212 SC Biophysics; Environmental Sciences; Meteorology & Atmospheric Sciences; 6213 Physiology 6214 GA 195KT 6215 UT ISI:000248411800008 6216 ER 6217 6218 PT J 6219 AU Harper, PL 6220 Theakston, E 6221 Ahmed, J 6222 Ockelford, P 6223 AF Harper, P. L. 6224 Theakston, E. 6225 Ahmed, J. 6226 Ockelford, P. 6227 TI D-dimer concentration increases with age reducing the clinical value of 6228 the D-dimer assay in the elderly 6229 SO INTERNAL MEDICINE JOURNAL 6230 LA English 6231 DT Article 6232 DE D-dimer; venous thrombosis; pulmonary embolus; elderly 6233 ID DEEP-VEIN THROMBOSIS; SUSPECTED PULMONARY-EMBOLISM; PLASMA D-DIMER; 6234 VENOUS THROMBOEMBOLISM; WHOLE-BLOOD; DIAGNOSTIC-TESTS; EXCLUSION; 6235 PROBABILITY; MANAGEMENT; PERFORMANCE 6236 AB Background: The D-dimer assay is used as an exclusion test in the 6237 assessment of suspected venous thromboembolic disease; patients with a 6238 negative result have a low probability of thrombosis. We reviewed the 6239 D-dimer results from a hospital and community laboratory using the 6240 vidas D-dimer test to assess the influence of age on the D-dimer assay. 6241 Methods: D-dimer results from 6631 unselected patients aged more than 6242 16 years were analysed in four age groups and it was shown that the 6243 median D-dimer concentration increased with age (16-40 years, 294 6244 ng/mL; 40-60 years, 387 ng/mL; 60-80 years; 854 ng/mL; > 80 years, 1397 6245 ng/mL). To test the effect of age on the assay specificity, a cohort of 6246 1897 patients with suspected venous thromboembolic disease was analysed 6247 separately. Patients with a negative D-dimer were discharged without 6248 further investigation. Patients with a positive result and a clinical 6249 suspicion of thrombosis underwent further investigation. One hundred 6250 and sixty-five deep vein thrombosis or pulmonary embolus cases were 6251 identified. 6252 Results: The assay specificity decreased with age from 70% in patients 6253 less than 40 years to below 5% in patients more than 80 years. Receiver 6254 operator curves were prepared for each age group and the effect of 6255 altering the threshold value was analysed. In patients 60-80 years old 6256 a threshold value of 1000 ng/mL increased assay specificity to 55% 6257 without loss of assay sensitivity. 6258 Conclusion: The vidas D-dimer assay with a threshold value of 500 ng/mL 6259 has little clinical value as an exclusion test in patients more than 80 6260 years old. The assay specificity is poor (26%) in patients aged 60-80 6261 years but could be improved by increasing the threshold value to 1000 6262 ng/mL. We believe that this should be tested in a prospective trial. 6263 C1 Palmerston N Hosp, Dept Haematol, Palmerston North, New Zealand. 6264 Diagnost Medlab, Auckland, New Zealand. 6265 Auckland Hosp, Dept Med, Auckland, New Zealand. 6266 RP Harper, PL, Palmerston N Hosp, Dept Haematol, Heretaunga St, Palmerston 6267 North, New Zealand. 6268 EM paul.harper@midcentral.co.nz 6269 CR ANDERSON DR, 2000, J EMERG MED, V19, P225 6270 BARRO C, 1999, THROMB RES, V95, P263 6271 BOZIC M, 2003, CLIN CHEM LAB MED, V41, P958 6272 BUSBY W, 1988, AGE AGEING, V17, P205 6273 CINI M, 2003, J THROMB HAEMOST, V1, P2681 6274 DEMOERLOOSE P, 2001, THROMB HAEMOSTASIS, V85, P185 6275 FANCHER TL, 2004, BRIT MED J, V329, P821 6276 FROST SD, 2003, MAYO CLIN PROC, V78, P1385 6277 HARPER P, 2001, NEW ZEAL MED J, V114, P61 6278 HIRSH J, 2002, BLOOD, V99, P3102 6279 KELLY J, 2003, CHEST, V124, P1116 6280 LENNOX AF, 1999, J VASC SURG, V30, P794 6281 MAURON T, 1998, THROMB HAEMOSTASIS, V79, P1217 6282 OGER E, 2000, THROMB HAEMOSTASIS, V83, P657 6283 RIGHINI M, 2000, AM J MED, V109, P357 6284 RIGHINI M, 2001, THROMB HAEMOSTASIS, V85, P744 6285 RIGHINI M, 2005, J AM GERIATR SOC, V53, P1039 6286 SCHUTGENS REG, 2003, J THROMB HAEMOST, V1, P976 6287 SCHUTGENS REG, 2005, BRIT J HAEMATOL, V129, P653 6288 TARDY B, 1998, THROMB HAEMOSTASIS, V79, P38 6289 VANDERGRAAF F, 2000, THROMB HAEMOSTASIS, V83, P191 6290 WELLS PS, 1997, LANCET, V350, P1795 6291 WELLS PS, 2001, ANN INTERN MED, V135, P98 6292 WELLS PS, 2003, NEW ENGL J MED, V349 6293 NR 24 6294 TC 0 6295 PU BLACKWELL PUBLISHING 6296 PI OXFORD 6297 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 6298 SN 1444-0903 6299 J9 INTERN MED J 6300 JI Intern. Med. J. 6301 PD SEP 6302 PY 2007 6303 VL 37 6304 IS 9 6305 BP 607 6306 EP 613 6307 PG 7 6308 SC Medicine, General & Internal 6309 GA 204JQ 6310 UT ISI:000249040300005 6311 ER 6312 6313 PT J 6314 AU Brand, C 6315 Scott, I 6316 Greenberg, P 6317 Sargious, P 6318 AF Brand, C. 6319 Scott, I. 6320 Greenberg, P. 6321 Sargious, P. 6322 TI Chronic disease management: time for consultant physicians to take more 6323 leadership in system redesign 6324 SO INTERNAL MEDICINE JOURNAL 6325 LA English 6326 DT Editorial Material 6327 DE chronic disease management; system redesign; leadership; consultant 6328 physician; models of care 6329 ID PAY-FOR-PERFORMANCE; CHRONIC ILLNESS; PRIMARY-CARE; HEALTH-CARE; 6330 CLINICAL-PRACTICE; UNITED-STATES; MEDICAL-CARE; QUALITY; PRACTITIONERS; 6331 EXPERIENCE 6332 AB There is a need for system redesign to meet the needs of individuals 6333 with chronic disease. New models of chronic disease care include 6334 team-based paradigms that focus on continuous and patient-centred care. 6335 In such models the roles of providers and patients must change. In this 6336 article we focus on new roles for consultant physicians, as well as 6337 barriers and incentives to these roles. 6338 C1 Univ Melbourne, Clin Epidemiol & Hlth Serv Evaluat Unit, Melbourne, Vic, Australia. 6339 Univ Melbourne, Ctr Res Excellence Patient Safety, Melbourne, Vic, Australia. 6340 Univ Queensland, Princess Alexandra Hosp, Dept Internal Med & Clin Epidemiol, Brisbane, Qld, Australia. 6341 Univ Melbourne, Royal Melbourne Hosp, Dept Gen Med, Melbourne, Vic, Australia. 6342 Univ Melbourne, Sch Populat Hlth, Dept Med, Melbourne, Vic, Australia. 6343 Univ Calgary, Dept Med, Calgary, AB, Canada. 6344 Calgary Hlth Reg, Chron Dis Management Portfolio, Calgary, AB, Canada. 6345 RP Brand, C, 7 W Royal Melbourne Hosp, Parkville, Vic, Australia. 6346 EM caroline.brand@rmh.org.au 6347 CR *AUSTR GOV NAT HLT, 2005, CULT COMP HLTH GUID 6348 *AUSTR GOV NAT HLT, 2006, MAK DEC TESTS TREATM 6349 *I MED, 2001, CROSS QUAL CHASM NEW 6350 ANDERSON GF, 2005, NEW ENGL J MED, V353, P305 6351 BERGESON SC, 2006, JAMA-J AM MED ASSOC, V296, P2848 6352 BLAKEMAN TM, 2001, MED J AUSTRALIA, V175, P95 6353 BODENHEIMER T, 2002, JAMA-J AM MED ASSOC, V288, P1775 6354 BOYD CM, 2005, JAMA-J AM MED ASSOC, V294, P716 6355 CAMPBELL C, 2005, BRIT MED J, V330, P667 6356 CASALINO L, 2003, JAMA-J AM MED ASSOC, V289, P434 6357 COOPER RA, 2006, MED J AUSTRALIA, V185, P2 6358 DORAN T, 2006, NEW ENGL J MED, V355, P375 6359 EPSTEIN RM, 2004, JAMA-J AM MED ASSOC, V291, P2359 6360 FEIFER C, 2006, ACAD MED, V81, P696 6361 GASK L, 2005, BRIT MED J, V330, P651 6362 GHALI WA, 2002, J EVAL CLIN PRACT, V8, P109 6363 GREENBERG PB, 2006, MED J AUSTRALIA, V185, P246 6364 GREENHALGH T, 2005, DIFFUSION INNOVATION 6365 GROL R, 1997, BRIT MED J, V315, P418 6366 GROL R, 2001, JAMA-J AM MED ASSOC, V286, P2578 6367 HOLMAN H, 2000, BRIT MED J, V320, P526 6368 HOOKER RS, 2006, MED J AUSTRALIA, V185, P4 6369 IRVINE DH, 2006, MED J AUSTRALIA, V184, P204 6370 JENCKS SF, 2000, JAMA-J AM MED ASSOC, V284, P1670 6371 KATON W, 2001, GEN HOSP PSYCHIAT, V23, P138 6372 KOHN C, 1999, EXECUTIVE SUMMARY ER 6373 KRUMHOLZ HM, 2006, CIRCULATION, V114, P1432 6374 LEWIS R, 2004, BRIT MED J, V328, P220 6375 LLIAMPUTTONG P, 2005, QUALITATIVE RES METH 6376 MCGLYNN EA, 2003, NEW ENGL J MED, V348, P2635 6377 OCONNOR AM, 2003, COCHRANE DB SYST REV, V2 6378 OVRETVEIT J, 2005, EVALUATING HLTH INTE 6379 ROSENTHAL MB, 2005, JAMA-J AM MED ASSOC, V294, P1788 6380 ROSENTHAL MB, 2006, NEW ENGL J MED, V355, P1895 6381 RUNDALL TG, 2002, BRIT MED J, V325, P958 6382 SCHOEN C, 2006, HEALTH AFFAIR, V25, W555 6383 SEWELL JR, 2006, MED J AUSTRALIA, V185, P23 6384 VONKORFF M, 2002, BRIT MED J, V325, P92 6385 WILSON TW, 2004, JT COMM J QUAL SAF, V30, P614 6386 YARMOROBERTS D, 2006, AUST NZ J PUBL HEAL, V30, P413 6387 ZWAR NA, 2006, SYSTEMATIC REV CHRON 6388 NR 41 6389 TC 0 6390 PU BLACKWELL PUBLISHING 6391 PI OXFORD 6392 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 6393 SN 1444-0903 6394 J9 INTERN MED J 6395 JI Intern. Med. J. 6396 PD SEP 6397 PY 2007 6398 VL 37 6399 IS 9 6400 BP 653A 6401 EP 659 6402 PG 7 6403 SC Medicine, General & Internal 6404 GA 204JQ 6405 UT ISI:000249040300014 6406 ER 6407 6408 PT J 6409 AU Law, CCH 6410 Ngai, EWT 6411 AF Law, Chuck C. H. 6412 Ngai, Eric W. T. 6413 TI ERP systems adoption: An exploratory study of the organizational 6414 factors and impacts of ERP success 6415 SO INFORMATION & MANAGEMENT 6416 LA English 6417 DT Article 6418 DE ERP adoption; business process improvement; organizational benefits; 6419 senior management support; CEO-IT distance; strategic intent 6420 ID MEASURING USER SATISFACTION; INFORMATION-TECHNOLOGY; MANUFACTURING 6421 TECHNOLOGY; ENTERPRISE SYSTEM; FIRM PERFORMANCE; IMPLEMENTATION; 6422 STRATEGY; PERSPECTIVE; MANAGEMENT; INNOVATION 6423 AB We examined the relationships between the success of ERP system 6424 adoption, extent of business process improvement (BPI), and 6425 organizational performance and investigated the associations between 6426 the outcomes of these initiatives and such organizational factors as 6427 strategic intent, senior management support, and the status of the IT 6428 function within a company. A correlation analysis of 96 firms was made 6429 to test our hypothesis that the strategic intent to use ERP was closely 6430 related to the success of BPI, ERP, and organizational performance. The 6431 results also demonstrated that CEO-IT distance may have little direct 6432 bearing on the outcomes of ERP and BPI initiatives. A closer CEO-IT 6433 reporting relationship, however, was found to be associated with higher 6434 levels of senior management support for both types of enterprise 6435 projects. This empirical evidence reinforced the long-held assumption 6436 that organization-level benefits, BPI, and ERP success were closely 6437 related; and that these relationships were subject to the influence of 6438 the organizational variables. (c) 2007 Elsevier B.V. All rights 6439 reserved. 6440 C1 Hong Kong Polytech Univ, Dept Management & Mkt, Hong Kong, Hong Kong, Peoples R China. 6441 RP Law, CCH, Hong Kong Polytech Univ, Dept Management & Mkt, Hong Kong, 6442 Hong Kong, Peoples R China. 6443 EM lawftmac@yahoo.com.hk 6444 CR BHATT GD, 2000, BUSINESS PROCESS MAN, V6, P139 6445 BOTTAGENOULAZ V, 2006, INT J PROD ECON, V99, P202 6446 CARNEY M, 1998, ASIA PACIFIC J MANAG, V15, P137 6447 CHEN LD, 2000, INFORM MANAGE, V37, P103 6448 CLINE MK, 2001, J COMPUT INFORM SYST, V41, P15 6449 DAVENPORT TH, 1998, HARVARD BUS REV, V76, P121 6450 DELONE WH, 1992, INFORMATION SYSTEMS, V3, P60 6451 DESS GG, 1984, STRATEGIC MANAGE J, V5, P265 6452 DOLL WJ, 1988, MIS Q, V12, P258 6453 DOLL WJ, 1994, MIS QUART, V18, P453 6454 EINDOR P, 1978, MANAGE SCI, V24, P1064 6455 GATTIKER TF, 2002, INT J PROD RES, V40, P4799 6456 GEFEN D, 2005, INFORM SYST MANAGE, V22, P18 6457 GELDERMAN M, 1998, INFORM MANAGE, V34, P11 6458 GROVER V, 1995, J MANAGEMENT INFORMA, V12, P109 6459 GROVER V, 1996, INT J INFORM MANAGE, V16, P9 6460 GROVER V, 1998, INFORM MANAGE, V34, P141 6461 HARKNESS WL, 1996, MIS QUART, V20, P349 6462 HONG KK, 2002, INFORM MANAGE-AMSTER, V40, P25 6463 HULT GTM, 2004, IND MARKET MANAG, V33, P429 6464 IRANI Z, 2001, J MANAGEMENT INFORMA, V17, P161 6465 JAIN R, 1997, OMEGA-INT J MANAGE S, V25, P267 6466 JAMES D, 2002, ORACLE E BUSINESS SU 6467 KERLINGER F, 1973, FDN BEHAV RES 6468 KING SF, 2006, INT J INFORM MANAGE, V26, P59 6469 KOTHA S, 2000, J OPER MANAG, V18, P257 6470 KREMERS M, 2000, COMMUN ACM, V43, P52 6471 KUMAR V, 2002, INT J PROD RES, V40, P509 6472 LI MF, 1999, INFORM MANAGE, V35, P43 6473 MABERT VA, 2003, EUR J OPER RES, V146, P302 6474 MARTIN MH, 1998, FORTUNE, V137, P149 6475 MELONE NP, 1990, MANAGE SCI, V36, P76 6476 MOTWANI J, 2005, COMPUT IND, V56, P529 6477 MURPHY KE, 2002, INFORM SYST J, V12, P301 6478 NARVER JC, 1995, J MARKETING, V59, P63 6479 PATEL NV, 1999, LOGISTICS INFORMATIO, V12, P32 6480 RANGANATHAN C, 2004, INT J INFORM MANAGE, V24, P247 6481 SANDERS GL, 1995, DIMENSIONS INFORM SY 6482 SCHEER AW, 2000, COMMUN ACM, V43, P57 6483 STEFANOU CJ, 2001, EUR J INFORM SYST, V10, P204 6484 TALLON PP, 2000, J MANAGE INFORM SYST, V16, P145 6485 TRACEY M, 1999, J OPER MANAG, V17, P411 6486 WEILL P, 1998, LEVERAGING NEW INFRA 6487 WILLCOCKS L, 2000, COMMUN ACM, V43, P32 6488 XUE YJ, 2005, INT J PROD ECON, V97, P279 6489 YANG HY, 2000, P DEC SCI I, P864 6490 ZVIRAN M, 2005, J COMPUT INFORM SYST, V45, P43 6491 NR 47 6492 TC 0 6493 PU ELSEVIER SCIENCE BV 6494 PI AMSTERDAM 6495 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 6496 SN 0378-7206 6497 J9 INFORM MANAGEMENT 6498 JI Inf. Manage. 6499 PD JUN 6500 PY 2007 6501 VL 44 6502 IS 4 6503 BP 418 6504 EP 432 6505 PG 15 6506 SC Computer Science, Information Systems; Information Science & Library 6507 Science; Management 6508 GA 195SP 6509 UT ISI:000248432300006 6510 ER 6511 6512 PT J 6513 AU Shitrit, P 6514 Gottesman, BS 6515 Katzir, M 6516 Kilman, A 6517 Ben-Nissan, Y 6518 Chowers, M 6519 AF Shitrit, Pnina 6520 Gottesman, Bat-Sheva 6521 Katzir, Michal 6522 Kilman, Avi 6523 Ben-Nissan, Yona 6524 Chowers, Michal 6525 TI Active surveillance for methicillin-resistant Staphylococcus aureus 6526 (MRSA) decreases the incidence of MRSA bacteremia 6527 SO INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY 6528 LA English 6529 DT Article 6530 ID INTENSIVE-CARE UNIT; LONG-TERM-CARE; HOSPITAL ADMISSION; NASAL 6531 CARRIERS; INFECTION; RISK; COLONIZATION; CARRIAGE; MANAGEMENT; STRATEGY 6532 AB OBJECTIVES. To evaluate the influence of performance of active 6533 surveillance cultures for methicillin-resistant Staphylococcus aureus ( 6534 MRSA) on the incidence of nosocomial MRSA bacteremia in an endemic 6535 hospital. 6536 DESIGN. Before-after trial. 6537 SETTING. A 700-bed hospital. 6538 PATIENTS. All patients admitted to the hospital who were at high risk 6539 for MRSA bacteremia. 6540 INTERVENTION. Performance of surveillance cultures for detection of 6541 MRSA were recommended for all patients at high risk, and contact 6542 isolation was implemented for patients with positive results of 6543 culture. Each MRSA-positive patient received one course of eradication 6544 treatment. We compared the total number of surveillance cultures, the 6545 percentage of surveillance cultures with positive results, and the 6546 number of MRSA bacteremia cases before the intervention ( from January 6547 2002 through February 2003) after the start of the intervention ( from 6548 July 2003 through October 2004). 6549 RESULTS. The number of surveillance cultures performed increased from a 6550 mean of 272.57 cultures/month before the intervention to 865.83 6551 cultures/month after the intervention. The percentage of surveillance 6552 cultures with positive results increased from 3.13% before to 5.22% 6553 after the intervention . The mean number of MRSA bacteremia cases per 6554 month decreased from 3.6 cases before the (P < .001) intervention to 6555 1.8 cases after the intervention ( P < 0.001). 6556 CONCLUSIONS. Active surveillance culture is important for identifying 6557 hidden reservoirs of MRSA. Contact isolation can prevent new 6558 colonization and infection and lead to a significant reduction of 6559 morbidity and healthcare costs. 6560 C1 Meir Med Ctr, Infect Dis Unit, IL-44281 Kefar Sava, Israel. 6561 Meir Med Ctr, Microbiol Lab, Kefar Sava, Israel. 6562 Tel Aviv Univ, Sakler Fac Med, Ramat Aviv, Israel. 6563 RP Chowers, M, Meir Med Ctr, Infect Dis Unit, 59 Tsharnichovski, IL-44281 6564 Kefar Sava, Israel. 6565 EM chowersm@post.tau.ac.il 6566 CR *NCCLS, 2000, METH DIL ANT SUSC TE 6567 COOPER BS, 2004, BRIT MED J, V329, P533 6568 CORBELLA X, 1997, EUR J CLIN MICROBIOL, V16, P351 6569 CROSSLEY K, 2001, CURR OPIN INFECT DIS, V14, P455 6570 DAVIS KA, 2004, CLIN INFECT DIS, V39, P776 6571 ENGEMANN JJ, 2003, CLIN INFECT DIS, V36, P592 6572 GARNER JS, 1983, INFECT CONT HOSP EP, V4, P245 6573 GIROU E, 2000, INFECT CONT HOSP EP, V21, P583 6574 HUANG SS, 2003, CLIN INFECT DIS, V36, P281 6575 KOTILAINEN P, 2001, ARCH INTERN MED, V161, P859 6576 KOTILAINEN P, 2003, EMERG INFECT DIS, V9, P169 6577 LEDELL K, 2003, INFECT CONT HOSP EP, V24, P639 6578 LUCET JC, 2005, INFECT CONT HOSP EP, V26, P121 6579 MARSHALL C, 2004, J HOSP INFECT, V56, P253 6580 MCNEIL SA, 2002, GERIATRICS, V57, P16 6581 MCNEIL SA, 2002, GERIATRICS, V57, P21 6582 MCNEIL SA, 2002, GERIATRICS, V57, P27 6583 MERRER J, 2000, INFECT CONT HOSP EP, V21, P718 6584 PAN A, 2005, INFECT CONT HOSP EP, V26, P127 6585 PANLILIO AL, 1992, INFECT CONT HOSP EP, V13, P582 6586 PAPIA G, 1999, INFECT CONT HOSP EP, V20, P473 6587 PUJOL M, 1996, AM J MED, V100, P509 6588 RUBINOVITCH B, 2001, J HOSP INFECT, V47, P9 6589 TOMIC V, 2004, ARCH INTERN MED, V164, P2038 6590 VERHOEF J, 1999, EUR J CLIN MICROBIOL, V18, P461 6591 VONEIFF C, 2001, NEW ENGL J MED, V344, P11 6592 VRIENS M, 2002, EUR J CLIN MICROBIOL, V21, P782 6593 WERTHEIM HFL, 2004, LANCET, V364, P703 6594 NR 28 6595 TC 3 6596 PU UNIV CHICAGO PRESS 6597 PI CHICAGO 6598 PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA 6599 SN 0899-823X 6600 J9 INFECT CONTROL HOSP EPIDEMIOL 6601 JI Infect. Control Hosp. Epidemiol. 6602 PD OCT 6603 PY 2006 6604 VL 27 6605 IS 10 6606 BP 1004 6607 EP 1008 6608 PG 5 6609 SC Public, Environmental & Occupational Health; Infectious Diseases 6610 GA 205AF 6611 UT ISI:000249084400002 6612 ER 6613 6614 PT J 6615 AU Daskalaki, I 6616 Hennessey, P 6617 Hubler, R 6618 Long, SS 6619 AF Daskalaki, Irini 6620 Hennessey, Patricia 6621 Hubler, Robin 6622 Long, Sarah S. 6623 TI Resource consumption in the infection control management of pertussis 6624 exposure among Healthcare workers in Pediatrics 6625 SO INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY 6626 LA English 6627 DT Article 6628 ID NOSOCOMIAL PERTUSSIS; HOSPITAL STAFF; LABORATORY DIAGNOSIS; 6629 BORDETELLA-PERTUSSIS; UNITED-STATES; OUTBREAK; VACCINE; CULTURE; 6630 INFANTS; ADULTS 6631 AB Objective. To assess consumption of resources in the infection control 6632 management of healthcare workers ( HCWs) exposed to pertussis and to 6633 assess avoidability of exposure. 6634 Setting. Tertiary care children's medical center. 6635 Methods. Analysis of the extent of and reasons for HCW exposure to 6636 pertussis during contact with children with the disease, whether 6637 exposures were avoidable ( because of the failure to recognize a case 6638 or to order or adhere to isolation precautions) or unavoidable ( 6639 because the case was not recognizable or because another diagnosis was 6640 confirmed), and the cost of implementing exposure management. 6641 Interventions. Interventions consisted of an investigation of every HCW 6642 encounter with any patient who was confirmed later to have pertussis 6643 from the time of hospital admission of the patient, use of azithromycin 6644 as postexposure prophylaxis ( PEP) for exposed HCWs, performance of 6645 21-day surveillance for cough illness, testing of symptomatic exposed 6646 HCWs for Bordetella pertussis, and enhanced preexposure education of 6647 HCWs. 6648 Results. From September 2003 through April 2005, pertussis was 6649 confirmed in 28 patients ( median age, 62 days); 24 patients were 6650 admitted. For 11 patients, pertussis was suspected, appropriate 6651 precautions were taken, and no HCW was exposed. Inadequate precautions 6652 for 17 patients led to 355 HCW exposures. The median number of HCWs 6653 exposed per exposing patient was 9 ( range, 1-86 HCWs; first quartile 6654 mean, 2; fourth quartile mean, 61). Exposure was definitely avoidable 6655 for only 61 ( 17%) of 355 HCWs and was probably unavoidable for 294 6656 HCWs ( 83%). The cost of 20-month infection control management of HCWs 6657 exposed to pertussis was $69,770. The entire cohort of HCWs involved in 6658 direct patient care at the facility could be immunized for 6659 approximately $60,000. 6660 Conclusions. Exposure of HCWs to pertussis during contact with children 6661 who have the disease is largely unavoidable, and management of this 6662 exposure is resource intensive. Universal preexposure vaccination of 6663 HCWs is a better utilization of resources than is case-based 6664 postexposure management. 6665 C1 Drexel Univ, Coll Med, Dept Pediat, Philadelphia, PA 19104 USA. 6666 St Christophers Hosp Children, Infect Control Program, Philadelphia, PA 19133 USA. 6667 RP Daskalaki, I, Drexel Univ, Coll Med, Dept Pediat, Philadelphia, PA 6668 19104 USA. 6669 EM idaskala@drexelmed.edu 6670 CR *CDCP, 2000, GUID CONTR PERT OUTB 6671 *CDCP, 2005, MMWR-MORBID MORTAL W, V54, P717 6672 *CDCP, 2006, MMWR-MORBID MORTAL W, V55, P1 6673 BAPTISTA PN, 2006, PEDIATR INFECT DIS J, V25, P844 6674 BASSINET L, 2004, INFECT CONT HOSP EP, V25, P995 6675 BISGARD KM, 2004, PEDIATR INFECT DIS J, V23, P985 6676 BOULAY BR, 2006, INFECT CONT HOSP EP, V27, P92 6677 CALUGAR A, 2006, CLIN INFECT DIS, V42, P981 6678 CHRISTIE CDC, 1995, INFECT CONT HOSP EP, V16, P556 6679 CHRISTIE CDC, 2001, CLIN INFECT DIS, V33, P997 6680 FARIZO KM, 1992, CLIN INFECT DIS, V14, P708 6681 FISHER MC, 1989, J PEDIATR, V114, P934 6682 FRIEDMAN DS, 2004, INFECT CONT HOSP EP, V25, P967 6683 GEHANNO JF, 1999, INFECT CONT HOSP EP, V20, P549 6684 GILLIGAN PH, 1984, J CLIN MICROBIOL, V20, P891 6685 HALASA NB, 2003, PEDIATRICS, V112, P1274 6686 KURT TL, 1972, JAMA-J AM MED ASSOC, V221, P264 6687 LANE NE, 1997, INFECT CONT HOSP EP, V18, P400 6688 LINNEMANN CC, 1975, LANCET, V2, P540 6689 LONG SS, 1990, P 6 INT S PERT BETH, P335 6690 MARTINEZ SM, 2001, INFECT CONT HOSP EP, V22, P781 6691 MIKELOVA LK, 2003, J PEDIATR, V143, P576 6692 MULLER FMC, 1997, J CLIN MICROBIOL, V35, P2435 6693 POWELL KR, 2006, PEDIATRICS, V117, P965 6694 SHEFER A, 1995, J INFECT DIS, V171, P1053 6695 SPEARING NM, 2002, MED J AUSTRALIA, V177, P568 6696 VANDERZEE A, 1996, J INFECT DIS, V174, P89 6697 VITEK CR, 2003, PEDIATR INFECT DIS J, V22, P628 6698 WARD A, 2005, INFECT CONT HOSP EP, V26, P288 6699 WARD JI, 2005, NEW ENGL J MED, V353, P1555 6700 WEBER DJ, 2001, INFECT CONT HOSP EP, V22, P736 6701 NR 31 6702 TC 0 6703 PU UNIV CHICAGO PRESS 6704 PI CHICAGO 6705 PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA 6706 SN 0899-823X 6707 J9 INFECT CONTROL HOSP EPIDEMIOL 6708 JI Infect. Control Hosp. Epidemiol. 6709 PD APR 6710 PY 2007 6711 VL 28 6712 IS 4 6713 BP 412 6714 EP 417 6715 PG 6 6716 SC Public, Environmental & Occupational Health; Infectious Diseases 6717 GA 205NN 6718 UT ISI:000249121000008 6719 ER 6720 6721 PT J 6722 AU Sminchisescu, C 6723 Kanaujia, A 6724 Metaxas, DN 6725 AF Sminchisescu, Cristian 6726 Kanaujia, Atul 6727 Metaxas, Dimitris N. 6728 TI BM3 E: Discriminative density propagation for visual tracking 6729 SO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 6730 LA English 6731 DT Article 6732 DE computer vision; statistical models; video analysis; motion; tracking 6733 ID HUMAN MOTION 6734 AB We introduce (BME)-E-3, a Conditional Bayesian Mixture of Experts 6735 Markov Model, that achieves consistent probabilistic estimates for 6736 discriminative visual tracking. The model applies to problems of 6737 temporal and uncertain inference and represents the unexplored 6738 bottom-up counterpart of pervasive generative models estimated with 6739 Kalman filtering or particle filtering. Instead of inverting a 6740 nonlinear generative observation model at runtime, we learn to 6741 cooperatively predict complex state distributions directly from 6742 descriptors that encode image observations ( typically, bag-of-feature 6743 global image histograms or descriptors computed over regular spatial 6744 grids). These are integrated in a conditional graphical model in order 6745 to enforce temporal smoothness constraints and allow a principled 6746 management of uncertainty. The algorithms combine sparsity, mixture 6747 modeling, and nonlinear dimensionality reduction for efficient 6748 computation in high-dimensional continuous state spaces. The combined 6749 system automatically self-initializes and recovers from failure. The 6750 research has three contributions: 1) we establish the density 6751 propagation rules for discriminative inference in continuous, temporal 6752 chain models, 2) we propose flexible supervised and unsupervised 6753 algorithms to learn feed-forward, multivalued contextual mappings 6754 (multimodal state distributions) based on compact, conditional Bayesian 6755 mixture of experts models, and 3) we validate the framework empirically 6756 for the reconstruction of 3D human motion in monocular video sequences. 6757 Our tests on both real and motion-capture-based sequences show 6758 significant performance gains with respect to competing nearest 6759 neighbor, regression, and structured prediction methods. 6760 C1 Univ Chicago, TTI C, Chicago, IL 60637 USA. 6761 Rutgers State Univ, Dept Comp Sci, Computat Biomed Imaging & Modeling Ctr, Piscataway, NJ 08854 USA. 6762 RP Sminchisescu, C, Univ Chicago, TTI C, 1427 E 60th St,2nd Floor, 6763 Chicago, IL 60637 USA. 6764 EM crismin@nagoya.uchicago.edu 6765 kanaujia@cs.rutgers.edu 6766 dnm@cs.rutgers.edu 6767 CR AGARWAL A, 2005, P WORKSH VIS HUM COM 6768 AGARWAL A, 2006, IEEE T PATTERN ANAL, V28, P44 6769 AHERNE F, 2004, ADV NEURAL INFOM PRO 6770 BELONGIE S, 2002, IEEE T PATTERN ANAL, V24 6771 BISHOP C, 2003, BAYESIAN MIXTURES EX 6772 BLACK M, 1996, COMPUTER VISION IMAG, V6, P57 6773 BRAND M, 1999, P INT C COMP VIS, P1237 6774 BRAY M, 2006, P 9 EUR C COMP VIS 6775 CHOO K, 2001, P 8 IEEE INT C COMP 6776 CULA OG, 2004, INT J COMPUT VISION, V59, P33 6777 DESARBO WS, 1988, J CLASSIF, V5, P249 6778 DEUTSCHER J, 2000, P IEEE INT C COMP VI 6779 ELGAMMAL A, 2002, P IEEE 6780 ELGAMMAL A, 2004, P IEEE INT C COMP VI 6781 GORDON N, 1993, IEE P P 6782 GRAUMAN K, 2003, P 9 IEEE INT C COMP 6783 HOWE N, 1999, ADV NEUR INF PROC 6784 ISARD M, 1998, INT J COMP VIS 6785 JAEGGLI T, 2006, P 4 C ART MOT DEF OB, P494 6786 JEBARA T, 2000, ADV NEURAL INFORM PR 6787 JORDAN M, 1998, LEARNING GRAPHICAL M 6788 JORDAN MI, 1994, NEURAL COMPUT, V6, P181 6789 KAKADIARIS IA, 1996, PROC CVPR IEEE, P81 6790 LAWRENCE N, 2003, ADV NEURAL INFORM PR 6791 LEE M, 2004, P IEEE INT C COMP VI 6792 LOWE D, 2004, INT J COMP VIS, V60 6793 MACKAY D, 1909, NEURAL COMPUTATION, V11 6794 MCCALLUM A, 2000, P INT C MACH LEARN 6795 MORI G, 2002, P 7 EUR C COMP VIS 6796 ROSALES R, 2002, ADV NEURAL INFORM PR 6797 ROTH S, 2004, P IEEE INT C COMP VI 6798 SCHOLKOPF B, 1998, NEURAL COMPUT, V10, P1299 6799 SHAKHNAROVICH G, 2003, P 9 IEEE C COMP VIS 6800 SIDENBLADH H, 2001, P 7 IEEE INT C COMP 6801 SIGAL L, 2004, P IEEE INT C COMP VI 6802 SMINCHIESCU C, 2005, P IEEE INT C COMP VI, V1, P390 6803 SMINCHISESCU C, 2003, INT J ROBOT RES, V22, P371 6804 SMINCHISESCU C, 2003, P IEEE C COMP VIS PA, V1, P69 6805 SMINCHISESCU C, 2004, CSRG401 U TOR 6806 SMINCHISESCU C, 2004, CSRG502 6807 SMINCHISESCU C, 2004, P IEEE INT C COMP VI, V2, P608 6808 SMINCHISESCU C, 2004, P INT C MACH LEARN, P759 6809 SMINCHISESCU C, 2005, ADV NEURAL INFORM P 6810 SMINCHISESCU C, 2005, P 10 IEEE INT C COMP, V2, P1808 6811 SMINCHISESCU C, 2006, CSRG543 U TOR 6812 SUDDERTH E, 2003, P IEEE INT C COMP VI 6813 TIPPING M, 2001, J MACH LEARNING RES 6814 TOMASI C, 2003, P 9 IEEE INT C COMP 6815 UEDA N, 2002, NEURAL NETWORKS, V15, P1223 6816 URTASUN R, 2005, P 10 IEEE INT C COMP 6817 WATERHOUSE S, 1996, ADV NEURAL INFOM PRO 6818 WESTON J, 2002, ADV NEURAL INFORM PR 6819 WIPF D, 2003, ADV NEURAL INFOM PRO 6820 NR 53 6821 TC 0 6822 PU IEEE COMPUTER SOC 6823 PI LOS ALAMITOS 6824 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 6825 SN 0162-8828 6826 J9 IEEE TRANS PATT ANAL MACH INT 6827 JI IEEE Trans. Pattern Anal. Mach. Intell. 6828 PD NOV 6829 PY 2007 6830 VL 29 6831 IS 11 6832 BP 2030 6833 EP 2044 6834 PG 15 6835 SC Computer Science, Artificial Intelligence; Engineering, Electrical & 6836 Electronic 6837 GA 208UE 6838 UT ISI:000249343900012 6839 ER 6840 6841 PT J 6842 AU Oh, C 6843 Ritchie, SG 6844 Jeng, ST 6845 AF Oh, Cheol 6846 Ritchie, Stephen G. 6847 Jeng, Shin-Ting 6848 TI Anonymous vehicle reidentification using heterogeneous detection systems 6849 SO IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 6850 LA English 6851 DT Article 6852 DE genetic algorithm (GA); lexicographic optimization; travel time 6853 estimation; vehicle feature; vehicle reidentification 6854 AB An innovative feature of this paper is the demonstration of the 6855 feasibility of real-time vehicle reidentification algorithm development 6856 at a signalized intersection, where different traffic detection 6857 technologies were employed at upstream and downstream locations. 6858 Previous research by the authors on vehicle reidentification has 6859 utilized the same traffic sensors (e.g., conventional square inductive 6860 loops) and detectors (e.g., high-speed scanning detector cards) at both 6861 locations. In this paper, an opportunity arose for the first time to 6862 collect a downstream data set from a temporary installation of a 6863 prototype innovative inductive loop sensor known as a "blade" sensor in 6864 conjunction with conventional inductive loops upstream. At both 6865 locations, advanced high-speed scanning detector cards were used. 6866 Although the number of vehicles for which data could be collected was 6867 small, encouraging results were obtained for vehicle reidentification 6868 performance in this system of mixed traffic detection technologies. In 6869 future large-scale applications of vehicle reidentification approaches 6870 for real-time traffic performance measurement, management, and control, 6871 it would be most beneficial and practical if heterogeneous and 6872 homogeneous detection systems could be supported. This initial paper 6873 yielded many useful insights about this important issue and 6874 demonstrated on a small scale the feasibility of vehicle 6875 reidentification in a system with heterogeneous detection technologies. 6876 C1 Hanyang Univ, Dept Transportat Syst Engn, Ansan 426791, South Korea. 6877 Univ Calif Irvine, Inst Transport Studies, Dept Syst Engn, Irvine, CA 92697 USA. 6878 RP Oh, C, Hanyang Univ, Dept Transportat Syst Engn, Ansan 426791, South 6879 Korea. 6880 EM cheolo@hanyang.ac.kr 6881 sritchie@uci.edu 6882 sjeng@uci.edu 6883 CR CHENG HH, 2005, IEEE T INTELL TRANSP, V6, P147 6884 LARSON JE, 1998, 263 MOU U CAL 6885 OH C, 2002, DEV REAL TIME PROBAB 6886 SUN C, 1998, TRANSPORT RES REC, V1643, P171 6887 SUN C, 1999, TRANSPORT RES C-EMER, V7, P167 6888 SUN CC, 2004, IEEE T INTELL TRANSP, V5, P155 6889 TURNER S, 1998, FHWAPL98035 6890 NR 7 6891 TC 0 6892 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 6893 PI PISCATAWAY 6894 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 6895 SN 1524-9050 6896 J9 IEEE TRANS INTELL TRANSP SYST 6897 JI IEEE Trans. Intell. Transp. Syst. 6898 PD SEP 6899 PY 2007 6900 VL 8 6901 IS 3 6902 BP 460 6903 EP 469 6904 PG 10 6905 SC Engineering, Civil; Engineering, Electrical & Electronic; 6906 Transportation Science & Technology 6907 GA 209QT 6908 UT ISI:000249403800009 6909 ER 6910 6911 PT J 6912 AU Mak, CL 6913 Fan, HSL 6914 AF Mak, Chin Long 6915 Fan, Henry S. L. 6916 TI Development of dual-station automated expressway incident detection 6917 algorithms 6918 SO IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 6919 LA English 6920 DT Article 6921 DE incident detection; intelligent transportation systems; traffic 6922 management; video cameras 6923 ID NEURAL NETWORKS; FREEWAYS; MODEL 6924 AB Most automated expressway incident detection algorithms were 6925 successfully developed using loop-based traffic occupancy from their 6926 local conditions. However, the performance of these algorithms was not 6927 satisfactory on sites that have installed a video-based detector 6928 system. Due to different traffic detector technologies and varying 6929 driving behaviors from one region to another, it is of interest to 6930 develop an algorithm that uses video-based data. This paper used a 6931 total of 160 incidents collected along the 15-km Central Expressway 6932 (CTE) in Singapore to develop two new dual-station algorithms: the 6933 COmbined Detector Evaluation (CODE) and the flow-based CODE algorithms. 6934 On average, the flow-based CODE algorithm yielded better performance 6935 than the CODE in terms of average reduced false alarms of about 16%. 6936 Measures were also taken to ensure that the algorithms were properly 6937 developed and assessed. It was found that the CODE algorithm can 6938 detect, on average, up to 57% of the incidents faster than those of 6939 existing detection methods on CTE. 6940 C1 Duffill Watts Pte Ltd, Singapore 069541, Singapore. 6941 Nanyang Technol Univ, Sch Civil & Environm Engn, Ctr Infrastruct Syst, Singapore 639798, Singapore. 6942 RP Mak, CL, Duffill Watts Pte Ltd, Singapore 069541, Singapore. 6943 EM CCLMAK@pmail.ntu.edu.sg 6944 CHENRYF@ntu.edu.sg 6945 CR ABDULHAI B, 1996, THESIS U CALIFORNIA 6946 ABDULHAI B, 1999, TRANSPORT RES C-EMER, V7, P261 6947 ADELI H, 2000, J TRANSP ENG-ASCE, V126, P464 6948 AHMED SR, 1982, 841 TRANSP RES BOARD, P19 6949 CHASSIAKOS AP, 1993, 1394 TRANSP RES BOAR, P8 6950 CHEU RL, 1995, TRANSPORT RES C-EMER, V3, P371 6951 CHEU RL, 2002, 1811 TRANSP RES REC, P120 6952 CHEU RL, 2004, 1867 NAT RES COUNC, P80 6953 COLLINS JF, 1979, 526 NAT RES COUNC 6954 COOK AR, 1974, 495 NAT RES COUNC, P11 6955 DIA H, 1997, TRANSPORT RES C-EMER, V5, P313 6956 DUDEK CL, 1974, 495 TRANSP RES REC, P12 6957 FAMBRO DB, 1980, 773 NAT RES COUNC, P31 6958 FAN HSL, 2002, P 3 INT C DEC MAK UR 6959 HALL F, 1993, 1394 TRANSP RES BOAR, P1 6960 HSIAO CH, 1994, J TRANSP ENG-ASCE, V120, P753 6961 ISHAK S, 1999, J TRANSP ENG-ASCE, V125, P281 6962 JIN X, 2002, TRANSPORT RES C-EMER, V10, P121 6963 KAIRM A, 2002, J TRANSP ENG-ASCE, V128, P20 6964 KARIM A, 2002, J TRANSP ENG-ASCE, V128, P232 6965 KARIM A, 2003, J TRANSP ENG-ASCE, V129, P57 6966 LEVIN M, 1978, 682 TRB NAT RES COUN, P52 6967 MAK CL, 2004, ROAD TRANSPORT RES, V13, P51 6968 MAK CL, 2005, J TRANSP ENG-ASCE, V131, P101 6969 MICHALOPOULOS PG, 1995, 1949 TRANSP RES REC, P40 6970 OH J, 2003, J TRANSP ENG-ASCE, V129, P462 6971 PAYNE HJ, 1976, FHWARD7620 FED HIGHW 6972 STEPHANEDES YJ, 1996, 1554 TRANSP RES BOAR, P184 6973 TENG HL, 2003, TRANSPORT RES C-EMER, V11, P265 6974 TENG HL, 2003, TRANSPORT RES C-EMER, V11, P289 6975 WEIL R, 1998, MATH COMPUT MODEL, V27, P257 6976 WILLSKY AS, 1980, IEEE T AUTOMAT CONTR, V25, P347 6977 YUAN F, 2003, TRANSPORT RES C-EMER, V11, P309 6978 NR 33 6979 TC 0 6980 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 6981 PI PISCATAWAY 6982 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 6983 SN 1524-9050 6984 J9 IEEE TRANS INTELL TRANSP SYST 6985 JI IEEE Trans. Intell. Transp. Syst. 6986 PD SEP 6987 PY 2007 6988 VL 8 6989 IS 3 6990 BP 480 6991 EP 490 6992 PG 11 6993 SC Engineering, Civil; Engineering, Electrical & Electronic; 6994 Transportation Science & Technology 6995 GA 209QT 6996 UT ISI:000249403800011 6997 ER 6998 6999 PT J 7000 AU Mao, ZH 7001 Dugail, D 7002 Feron, E 7003 AF Mao, Zhi-Hong 7004 Dugail, David 7005 Feron, Eric 7006 TI Space partition for conflict resolution of intersecting flows of mobile 7007 agents 7008 SO IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 7009 LA English 7010 DT Article 7011 DE air traffic; conflict resolution; intersecting flows; mobile agents; 7012 space partition 7013 ID AIR-TRAFFIC MANAGEMENT; FREE-FLIGHT; AIRCRAFT FLOWS; AVOIDANCE; 7014 PERFORMANCE; STABILITY; SYSTEMS 7015 AB This paper studies the conflict resolution for intersecting flows of 7016 mobile agents based on planar space partition. The idea of space 7017 partition is first demonstrated for two intersecting flows of mobile 7018 agents. Then, for three intersecting flows, where simple decentralized 7019 conflict avoidance rules may not handle all traffic scenarios, it is 7020 proved that certain periodic partitions of space are able to provide 7021 conflict resolution for any distribution of agents in the flows. A 7022 computational procedure based on mixed integer programming is further 7023 proposed to find optimal space partitions. The approach of space 7024 partition is not an online optimization algorithm. An online algorithm 7025 may find optimal resolution of conflict for a specific set of mobile 7026 agents but has to be rerun each time when new agents arrive, whereas a 7027 periodic partition of space provides a priori geometrical configuration 7028 for conflict avoidance regardless of the number and arriving patterns 7029 of the agents. Moreover, the offline nature of space partition does not 7030 imply a decrease of performance. As demonstrated in an example 7031 involving three symmetrically arranged agent flows, the optimal space 7032 partition has found a tight upper bound for the magnitude of any 7033 conflict-free maneuvers. 7034 C1 Univ Pittsburgh, Dept Elect & Comp Engn, Pittsburgh, PA 15261 USA. 7035 Univ Pittsburgh, Dept Bioengn, Pittsburgh, PA 15261 USA. 7036 Dassault Div, F-13002 Marseille, France. 7037 Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA. 7038 RP Mao, ZH, Univ Pittsburgh, Dept Elect & Comp Engn, Pittsburgh, PA 15261 7039 USA. 7040 EM maozh@engr.pitt.edu 7041 dugail@alum.mit.edu 7042 feron@gatech.edu 7043 CR *FED AV ADM, 2004, NAT AIRSP SYST OP EV 7044 *ILOG, 1999, ILOG CPLEX US GUID 7045 *RTCA, 1995, RTCA TASK FORC 3 FRE 7046 CHRISTODOULOU MA, 2006, IEEE T INTELL TRANSP, V7, P242 7047 DEVASIA S, 1999, P IEEE C DEC CONTR D, P2456 7048 DUGAIL D, 2001, P AIAA GUID NAV CONT 7049 DURAND N, 1995, AIR TRAFFIC CONTRO Q 7050 FRAZZOLI E, 2001, J GUID CONTROL DYNAM, V24, P79 7051 FRAZZOLI E, 2005, P AIAA GUID NAV CONT 7052 GHOSH R, 2001, P AM CONTR C CHIC IL, P672 7053 HILLENBRAND J, 2006, IEEE T INTELL TRANSP, V7, P528 7054 HISTON JM, 2002, P 19 IEEE AIAA DIG A 7055 IDRIS H, 1998, P AIAA C GUID CONTR 7056 KROZEL J, 1997, P IEEE C DEC CONTR, P1822 7057 KROZEL J, 2000, P AIAA GUID NAV CONT 7058 MAO ZH, 2000, THESIS MIT CAMBRIDGE 7059 MAO ZH, 2001, IEEE T INTELL TRANSP, V2, P101 7060 MAO ZH, 2001, P AM CONTR C ARL, V2, P722 7061 MAO ZH, 2005, IEEE T INTELL TRANSP, V6, P357 7062 MENON PK, 1999, J GUIDANCE CONTROL D, V22, P203 7063 NIEDRINGHAUS WP, 1995, IEEE T SYST MAN CYB, V25, P1269 7064 PAIELLI RA, 1997, J GUID CONTROL DYNAM, V20, P588 7065 PALLOTTINO L, 2002, IEEE T INTELL TRANSP, V3, P3 7066 SIMPSON RW, 1993, COURSE NOTES 16 72 A 7067 TOMLIN C, 1998, IEEE T AUTOMAT CONTR, V43, P509 7068 VISINTINI AL, 2006, IEEE T INTELL TRANSP, V7, P470 7069 YANG LC, 1997, J GUID CONTROL DYNAM, V20, P768 7070 YOUSEFI A, 2004, P AIAA 4 AV TECHN IN 7071 NR 28 7072 TC 0 7073 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 7074 PI PISCATAWAY 7075 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 7076 SN 1524-9050 7077 J9 IEEE TRANS INTELL TRANSP SYST 7078 JI IEEE Trans. Intell. Transp. Syst. 7079 PD SEP 7080 PY 2007 7081 VL 8 7082 IS 3 7083 BP 512 7084 EP 527 7085 PG 16 7086 SC Engineering, Civil; Engineering, Electrical & Electronic; 7087 Transportation Science & Technology 7088 GA 209QT 7089 UT ISI:000249403800013 7090 ER 7091 7092 PT J 7093 AU Lee, RG 7094 Chen, KC 7095 Hsiao, CC 7096 Tseng, CL 7097 AF Lee, Ren-Guey 7098 Chen, Kuei-Chien 7099 Hsiao, Chun-Chieh 7100 Tseng, Chwan-Lu 7101 TI A mobile care system with alert mechanism 7102 SO IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE 7103 LA English 7104 DT Article 7105 DE alert; Bluetooth; Java programming; mobile care; mobile phone; 7106 ubiquitous 7107 ID HEALTH-CARE; TRANSMISSION 7108 AB Hypertension and arrhythmia are chronic diseases, which can be 7109 effectively prevented and controlled only if the physiological 7110 parameters of the patient are constantly monitored, along with the full 7111 support of the health education and professional medical care. In this 7112 paper, a role-based intelligent mobile care system with alert mechanism 7113 in chronic care environment is proposed and implemented. The roles in 7114 our system include patients, physicians, nurses, and healthcare 7115 providers. Each of the roles represents a person that uses a mobile 7116 device such as a mobile phone to communicate with the server setup in 7117 the care center such that he or she can go around without restrictions. 7118 For commercial mobile phones with Bluetooth communication capability 7119 attached to chronic patients, we have developed physiological signal 7120 recognition algorithms that were implemented and built-in in the mobile 7121 phone without affecting its original communication functions. It is 7122 thus possible to integrate several front-end mobile care devices with 7123 Bluetooth communication capability to extract patients' various 7124 physiological parameters [such as blood Pressure, pulse, saturation of 7125 haemoglobin (SPO2), and electrocardiogram (ECG)], to monitor multiple 7126 physiological signals without space limit, and to upload important or 7127 abnormal physiological information to healthcare center for storage and 7128 analysis or transmit the information to physicians and healthcare 7129 providers for further processing. Thus, the physiological signal 7130 extraction devices only have to deal with signal extraction and 7131 wireless transmission. Since they do not have to do signal processing, 7132 their form factor can be further reduced to reach the goal of 7133 microminiaturization and power saving. An alert management mechanism 7134 has been included in back-end healthcare center to initiate various 7135 strategies for automatic emergency alerts after receiving emergency 7136 messages or after automatically recognizing emergency messages. Within 7137 the time intervals in system setting, according to the medical history 7138 of a specific patient, our prototype system can inform various 7139 healthcare providers in sequence to provide healthcare service with 7140 their reply to ensure the accuracy of alert information and the 7141 completeness of early warning notification to further improve the 7142 healthcare quality. In the end, with the testing results and 7143 performance evaluation of our implemented system prototype, we conclude 7144 that it is possible to set up a complete intelligent healt care chain 7145 with mobile monitoring and healthcare service via the assistance of our 7146 system. 7147 C1 Natl Taipei Inst Technol, Dept Elect Engn, Taipei 10643, Taiwan. 7148 Natl Taipei Inst Technol, Grad Inst Comp & Commun Engn, Taipei 10643, Taiwan. 7149 Lunghwa Univ Sci & Technol LHU, Tao Yuan 33306, Taiwan. 7150 Natl Taiwan Univ, Dept Elect Engn, Taipei 10617, Taiwan. 7151 Lunghwa Univ Sci & Technol LHU, Dept Comp Informat & Network Engn, Tao Yuan 33306, Taiwan. 7152 RP Lee, RG, Natl Taipei Inst Technol, Dept Elect Engn, Taipei 10643, 7153 Taiwan. 7154 EM evans@ntut.edu.tw 7155 f10940@ntut.edu.tw 7156 CR *UML, 2003, SPEC 1 5 OBJ MAN GRO 7157 ANLIKER U, 2004, IEEE T INF TECHNOL B, V8, P415 7158 AXISA F, 2005, IEEE T INF TECHNOL B, V9, P325 7159 GIGUERE E, 2002, WIRELESS MESSAGING A 7160 GUILLEN S, 2002, IEEE T BIO-MED ENG 1, V49, P1431 7161 HERNANDEZ AI, 2001, IEEE T INF TECHNOL B, V5, P253 7162 KAFEZA E, 2004, IEEE T INF TECHNOL B, V8, P173 7163 KUMAR CB, 2004, BLUETOOTH APPL PROGR 7164 LEE KK, 2005, SOLDER SURF MT TECH, V17, P4 7165 LEE RG, 2000, IEEE T INF TECHNOL B, V4, P37 7166 LEE RG, 2005, BIOMED ENG APPL BASI, V17, P258 7167 LEE RG, 2006, IEICE T INF SYST ED, V89, P1702 7168 LEE RGB, 2006, P 28 IEEE EMBS ANN I, P6004 7169 LIN YH, 2004, IEEE T INF TECHNOL B, V8, P439 7170 MAHMOUD QH, 2002, LEARING WIRELESS JAV 7171 RASID MFA, 2005, IEEE T INF TECHNOL B, V9, P35 7172 NR 16 7173 TC 0 7174 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 7175 PI PISCATAWAY 7176 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 7177 SN 1089-7771 7178 J9 IEEE TRANS INF TECHNOL BIOMED 7179 JI IEEE T. Inf. Technol. Biomed. 7180 PD SEP 7181 PY 2007 7182 VL 11 7183 IS 5 7184 BP 507 7185 EP 517 7186 PG 11 7187 SC Computer Science, Information Systems; Computer Science, 7188 Interdisciplinary Applications; Mathematical & Computational Biology; 7189 Medical Informatics 7190 GA 208HH 7191 UT ISI:000249309900002 7192 ER 7193 7194 PT J 7195 AU Kumaran, S 7196 Bishop, P 7197 Chao, T 7198 Dhoolia, P 7199 Jain, P 7200 Jaluka, R 7201 Ludwig, H 7202 Moyer, A 7203 Nigam, A 7204 AF Kumaran, S. 7205 Bishop, P. 7206 Chao, T. 7207 Dhoolia, P. 7208 Jain, P. 7209 Jaluka, R. 7210 Ludwig, H. 7211 Moyer, A. 7212 Nigam, A. 7213 TI Using a model-driven transformational approach and service-oriented 7214 architecture for service delivery management 7215 SO IBM SYSTEMS JOURNAL 7216 LA English 7217 DT Article 7218 AB IT (information technology) service providers often assume that 7219 efficient and effective service delivery can be achieved by migrating 7220 to a standard set of tools. This assumption is true only if the service 7221 provider has monolithic control over the scope and architecture of the 7222 customer environment. The trend, however, is toward selective 7223 outsourcing, customer control over the architecture of IT solutions, 7224 and retention of legacy tools. Target environments are extremely 7225 heterogeneous, and the ability of the service provider to control them 7226 is diminishing. Consequently, there is a need for a new approach to IT 7227 service workflow automation and a new generation of service-delivery 7228 management systems that support heterogeneity and collaboration. This 7229 paper introduces a new approach to automating complex and variable 7230 workflows, applies this approach to IT service delivery management 7231 (SDM), presents an SDM architecture based on this approach, and 7232 discusses an SDM implementation driven by this architecture. our 7233 implementation architecture leverages service-oriented architecture 7234 (SOA) principles by defining loosely coupled service components and a 7235 service fulfillment pattern that dynamically integrates them. We 7236 discuss the modeling of performance metrics for service delivery and 7237 describe how the monitoring and management of key performance 7238 indicators (KPIs) are supported as an integral part of our SDM platform. 7239 C1 IBM Corp, Thomas J Watson Res Ctr, Div Res, Yorktown Hts, NY 10598 USA. 7240 IBM Corp, Integrated Technol Div, Austin, TX 78758 USA. 7241 IBM Res Div, India Res Lab, New Delhi 110070, India. 7242 IBM Global Technol & Integrat Management, Woodstock, NY 12498 USA. 7243 IBM Res Div, Thomas J Watson Res Ctr, Hawthorne, NY 10532 USA. 7244 IBM Integrated Technol Div, Poughkeepsie, NY 12601 USA. 7245 RP Kumaran, S, IBM Corp, Thomas J Watson Res Ctr, Div Res, 1101 Kitchawan 7246 Rd, Yorktown Hts, NY 10598 USA. 7247 EM sbk@us.ibm.com 7248 ellisb@us.ibm.com 7249 tian@us.ibm.com 7250 pdhoolia@in.ibm.com 7251 prashantjain@in.ibm.com 7252 rjaluka@us.ibm.com 7253 hludwig@us.ibm.com 7254 annmoyer@us.ibm.com 7255 anigam@us.ibm.com 7256 CR 1999, WORKFLOW MANAGEMENT 7257 2002, BUSINESS PROCESS EXE 7258 *IBM CORP, WEBSPH BUS INT SERV 7259 *IBM CORP, WEBSPH PROC SERV 7260 *OMG, 2003, OMG MOD DRIV ARCH 7261 *WORLDWIDE WEB, 2001, WEB SERV DESCR LANG 7262 BALDWIN CY, 2000, DESIGN RULES, V1 7263 BRENNER M, 2006, P 1 IEEE IFIP INT WO, P19 7264 CASTELLANOS M, 2005, P 21 INT C DAT ENG T 7265 DANCIU VA, 2006, P 1 IEEE IFIP INT WO, P45 7266 GAMMA E, 1995, DESIGN PATTERNS ELEM 7267 GOTTSCHALK K, 2002, IBM SYST J, V41, P170 7268 HAMMER M, 2004, HARVARD BUSINESS APR 7269 KAPOOR S, 2005, IBM SYST J, V44, P5 7270 KOEHLER J, 2002, P 6 IEEE INT ENT DIS, P96 7271 KUMARAN S, 2004, P GLOB ENT APPL INT, P166 7272 KUMARAN S, 2005, P 7 INT C ENT INF SE 7273 LEYMANN F, 2000, PRODUCTION WORKFLOW 7274 LUDWIG H, 2007, IBM SYST J, V46, P531 7275 MAYERL C, 2006, P 1 IEEE IFIP INT WO, P29 7276 NIGAM A, 2003, IBM SYST J, V42, P428 7277 PORTIER B, 2004, INTRO SERVICE DATA O 7278 RABINER LR, 1989, P IEEE, V77, P257 7279 SAUVE J, 2006, P 1 IEEE IFIP INT WO, P1 7280 TOSIC V, 2006, P 1 IEEE IFIP INT WO, P11 7281 WU Q, 2006, P INT C WEB SERV ICW, P320 7282 ZACHMAN JA, 1987, IBM SYST J, V26, P3 7283 NR 27 7284 TC 1 7285 PU IBM CORP 7286 PI ARMONK 7287 PA 1 NEW ORCHARD ROAD, ARMONK, NY 10504 USA 7288 SN 0018-8670 7289 J9 IBM SYST J 7290 JI IBM Syst. J. 7291 PD JUL-SEP 7292 PY 2007 7293 VL 46 7294 IS 3 7295 BP 513 7296 EP 529 7297 PG 17 7298 SC Computer Science, Information Systems; Computer Science, Software 7299 Engineering; Computer Science, Theory & Methods 7300 GA 204XU 7301 UT ISI:000249078100011 7302 ER 7303 7304 PT J 7305 AU Coskun, KO 7306 Coskun, ST 7307 El Arousy, M 7308 Parsa, MA 7309 Schulz, U 7310 Deyerling, W 7311 Tenderich, G 7312 Bairaktaris, A 7313 Koerfer, R 7314 AF Coskun, K. O. 7315 Coskun, S. T. 7316 El Arousy, M. 7317 Parsa, M. Amin 7318 Schulz, U. 7319 Deyerling, W. 7320 Tenderich, G. 7321 Bairaktaris, A. 7322 Koerfer, R. 7323 TI Cardiac surgery after heart transplantation: Coronary artery bypass 7324 grafting and heart valve replacement 7325 SO HEART SURGERY FORUM 7326 LA English 7327 DT Article 7328 ID SEVERE TRICUSPID REGURGITATION; RETRANSPLANTATION; DISEASE; EXPERIENCE; 7329 ALLOGRAFTS; ECHOCARDIOGRAPHY; ANGIOPLASTY; MANAGEMENT; RECIPIENTS; 7330 SURVIVAL 7331 AB Introduction. Due to increasing need for and a shortage of donor 7332 organs, therapeutic procedures such as heart valve replacement for 7333 valve insufficiency and coronary artery bypass grafting (CABG) for 7334 graft vasculopathy (GVP) must be performed to improve allograft 7335 function to avoid retransplantation. 7336 Methods. We performed a retrospective analysis of patients who 7337 underwent surgical procedures after orthotopic heart transplantation. 7338 Since 1989, we have performed more than 1400 heart transplantation 7339 procedures. Valve replacement was necessary in 8 patients and CABG was 7340 necessary in 3 patients. Five patients received valve prostheses ( 3 7341 bioprostheses and 2 mechanical valves) at the tricuspid position. Three 7342 patients received a Hancock bioprosthesis at the mitral position. One 7343 of the 3 received the valve 3 years after heart transplantation while 7344 suffering from mitral regurgitation grade IV, and another patient 7345 received the valve 1 year following heart transplantation while 7346 suffering from mitral insufficiency grade III due to infective 7347 endocarditis. Three patients underwent coronary artery 7348 revascularization, 2 patients underwent the procedure 1 and 7 years 7349 after heart transplantation because of GVP, 1 patient underwent the 7350 procedure simultaneously with heart transplantation because of donor 7351 coronary artery disease. One patient received concomitant CABG with 7352 heart transplantation because of 75% left anterior descending stenoses 7353 in the donor organ, and one patient received CABG 1 year after heart 7354 transplantation because of rapidly progressive GVP in the left anterior 7355 descending artery. The third patient had 3-vessel disease with 95% left 7356 stem and 75% ramus circum. ex, ramus marginalis, and ramus diagonalis. 7357 Results. Two patients who underwent CABG and 4 patients who underwent 7358 valve replacement are still alive and maintain good clinical 7359 performance. One patient with a graft at the mitral position died 9 7360 years after heart transplantation and 6 years after mitral valve 7361 replacement. Two patients with a graft at the tricuspid position died 7362 17 and 4 years after heart transplantation ( 6 and 3 years after valve 7363 replacement, respectively). One patient with a bioprostheses at the 7364 tricuspid position had to be retransplanted 2 years following valve 7365 replacement while suffering from a paravalvular leakage grade III. 7366 Conclusion. Cardiac surgical procedures can be safely performed after 7367 heart transplantation. To improve graft and patient survival, such 7368 procedures must be carefully performed after heart transplantation to 7369 avoid retransplantation. The shortage of donor organs will and must 7370 lead to an increase in the number of conventional procedures performed 7371 to improve allograft function in transplanted hearts. 7372 C1 Heart Ctr N Rhine Westphalia, Dept Cardiac Surg, Bad Oeynhausen, Germany. 7373 RP Coskun, KO, Heart Ctr N Rhine Westphalia, Dept Cardiac Surg, Georg Str 7374 11, Bad Oeynhausen, Germany. 7375 EM ocoskun@hdz-nrw.de 7376 CR ALHARETHI R, 2006, J HEART LUNG TRANSPL, V25, P48 7377 ANGERMANN CE, 1990, J HEART TRANSPLANT, V9, P331 7378 BARNHART GR, 1987, TRANSPLANT REV, V1, P31 7379 CHAN MCY, 2001, J HEART LUNG TRANSPL, V20, P709 7380 CONSTANZO MR, 1996, J HEART LUNG TRANSPL, V15, S39 7381 FILSOUFI F, 2006, J HEART LUNG TRANSPL, V25, P289 7382 GALLO P, 1997, J HEART LUNG TRANSPL, V16, P1113 7383 GAO SZ, 1987, CIRCULATION, V76, V56 7384 GAO SZ, 1988, AM J CARDIOL, V62, P876 7385 GAO SZ, 1988, J AM COLL CARDIOL, V12, P334 7386 GOENEN MJ, 1991, J HEART LUNG TRANSPL, V10, P604 7387 GREWAL HS, 2004, J HEART LUNG TRANSPL, V23, P256 7388 HALLE AA, 1995, J AM COLL CARDIOL, V26, P120 7389 HAVERICH A, 1991, EUR J CARDIO-THORAC, V5, P41 7390 HOSENPUD JD, 1994, J HEART LUNG TRANSPL, V13, P561 7391 HUDDLESTON CB, 1994, ANN THORAC SURG, V57, P832 7392 ICHIKAWA S, 2000, J THORAC CARDIOVASC, V48, P659 7393 JOHN R, 1999, J THORAC CARDIOV SUR, V117, P543 7394 JOHNSON DE, 1989, J HEART TRANSPLANT, V8, P349 7395 KOYANAGI T, 1999, ANN THORAC SURG, V67, P1350 7396 MCMANUS BM, 1995, AM J PATHOL, V147, P293 7397 MINORU O, 2003, J CARDIOVASC SURG, V18, P545 7398 MUSCI M, 1998, THORAC CARDIOV SURG, V46, P268 7399 PARRY A, 1996, EUR J CARDIO-THORAC, V10, P528 7400 PENNOCK JL, 1982, J THORAC CARDIOVASC, V83, P168 7401 PUCCI AM, 1990, J HEART TRANSPLANT, V9, P339 7402 RAO JN, 2000, J HEART LUNG TRANSPL, V19, P897 7403 REEDY VS, 2002, ANN THORAC SURG, V73, P534 7404 REES AP, 1993, CHEST, V104, P82 7405 SCHNETZLER B, 1998, ANN THORAC SURG, V65, P978 7406 SMITH JA, 1995, J HEART LUNG TRANSPL, V14, P832 7407 SOARES RM, 1994, THORACIC ORGAN TRANS, P161 7408 STEVENSON LW, 1987, AM J CARDIOL, V60, P119 7409 TUCKER PA, 1994, J HEART LUNG TRANSPL, V13, P446 7410 URETSKY BF, 1987, CIRCULATION, V76, P827 7411 WILLIAMS MJA, 1996, AM J CARDIOL, V77, P1339 7412 NR 36 7413 TC 0 7414 PU FORUM MULTIMEDIA PUBLISHING, LLC 7415 PI CHARLOTTESVILLE 7416 PA 375 GREENBRIER DR, CHARLOTTESVILLE, VA 22901 USA 7417 SN 1098-3511 7418 J9 HEART SURG FORUM 7419 JI Heart Surg. Forum 7420 PD APR 7421 PY 2007 7422 VL 10 7423 IS 2 7424 BP E110 7425 EP E114 7426 PG 5 7427 SC Cardiac & Cardiovascular Systems; Surgery 7428 GA 205OJ 7429 UT ISI:000249123400006 7430 ER 7431 7432 PT J 7433 AU Fraser, MD 7434 Davies, DA 7435 Wright, IA 7436 Vale, JE 7437 Nute, GR 7438 Hallett, KG 7439 Richardson, RI 7440 AF Fraser, M. D. 7441 Davies, D. A. 7442 Wright, I. A. 7443 Vale, J. E. 7444 Nute, G. R. 7445 Hallett, K. G. 7446 Richardson, R. I. 7447 TI Effect on upland beef production of incorporating winter feeding of red 7448 clover silage or summer grazing of Molinia-dominated semi-natural 7449 pastures 7450 SO GRASS AND FORAGE SCIENCE 7451 LA English 7452 DT Article 7453 DE molinia caerulea; cattle; liveweight gain; meat quality; silage 7454 ID FATTY-ACID-COMPOSITION; 2 SWARD HEIGHTS; ENSILED FORAGE LEGUMES; 7455 HERBAGE INTAKE; COMPENSATORY GROWTH; PERENNIAL RYEGRASS; FINISHING 7456 LAMBS; SUCKLED CALVES; MEAT QUALITY; CATTLE 7457 AB Management systems for finishing beef cattle, designed to meet 7458 environmental goals in the Less Favoured Areas (LFAs) of the UK, often 7459 rely on the integration of grazing of semi-natural pastures with sown 7460 permanent pasture. In this experiment, three management options were 7461 compared: (i) permanent pasture for grazing and silage production 7462 (treatment PP), (ii) permanent pasture for grazing and silage and 7463 grazing of Molinia-dominant semi-natural pasture in summer from June to 7464 August inclusively (treatment PP + SNP) and (iii) permanent pasture for 7465 grazing and silage and red clover (RC) silage for 0.25 of the silage 7466 requirement in winter (treatment PP + RC). The performance of 7467 spring-born Welsh Black steers was measured from turnout in spring 2002 7468 until finishing in summer 2003. During summer 2002, the liveweight gain 7469 of steers grazing the semi-natural pasture was significantly lower than 7470 that of steers grazing the permanent pasture. There was a trend for the 7471 liveweight gains of the steers on the PP + SNP treatment to be higher 7472 from housing in autumn 2002, and live weights on all treatments were 7473 similar at the start of the red clover-feeding phase. Steers offered 7474 red clover silage had a significantly higher liveweight gains than 7475 those offered grass silage, but there was only a trend for a higher 7476 live weight at the end of the winter-feeding period. During summer 7477 2003, liveweight gains were again higher on the permanent pasture. 7478 Finishing system significantly affected the fatty-acid profile of the 7479 meat produced, but there was no difference in the colour of meat in 7480 relation to shelf-life. Lipid oxidation was less for the meat from 7481 steers on the PP + SNP treatment than on the PP treatment, which, in 7482 turn, was less than for meat from the steers on the PP + RC treatment, 7483 and was in inverse proportion to the vitamin E concentration in the 7484 loin muscle. There were no significant differences in sensory panel 7485 scores for texture, juiciness or flavour of the meat. 7486 C1 Inst Grassland & Environm Res, Bronydd Mawr, Brecon, England. 7487 Macaulay Inst, Aberdeen, Scotland. 7488 Univ Bristol, Sch Clin Vet Sci, Div Farm Anim Sci, Bristol, Avon, England. 7489 RP Fraser, MD, IGER, Dept Plant Anim Microbial Sci, Aberystwyth SY23 3EB, 7490 Ceredigion, England. 7491 EM mariecia.fraser@bbsrc.ac.uk 7492 CR *DEFRA, 2002, EC COND CATTL SHEEP 7493 *LAW AGR TRUST, 2005, GENSTAT 8 1 WIND 7494 ADNOY T, 2005, LIVEST PROD SCI, V94, P25 7495 ARNOLD RN, 1993, J ANIM SCI, V71, P105 7496 BARTHRAM GT, 1986, EXPT TECHNIQUES HFRO, P29 7497 BOUFAIED H, 2003, CAN J ANIM SCI, V83, P501 7498 CAZCARRA RF, 1995, ANIM SCI 2, V61, P211 7499 COMMON TG, 1997, GRASS FORAGE SCI, V52, P207 7500 COULON LB, 2004, LAIT, V84, P221 7501 DAVIES DA, 1984, GRASS FORAGE SCI, V39, P229 7502 DEWHURST RJ, 1998, GRASS FORAGE SCI, V53, P219 7503 DEWHURST RJ, 2001, GRASS FORAGE SCI, V56, P68 7504 DEWHURST RJ, 2003, J DAIRY SCI, V86, P2598 7505 EADIE J, 1985, OCCASIONAL PUBLICATI, V10 7506 ELGERSMA A, 2003, ANIM FEED SCI TECH, V108, P191 7507 ENSER M, 2001, P BRIT SOC ANIMAL SC, V67, P75 7508 FRAME J, 1998, TEMPERATE FORAGE LEG 7509 FRASER MD, 2000, GRASS FORAGE SCI, V55, P271 7510 FRASER MD, 2003, P 7 BRIT GRASSL SOC, P59 7511 FRASER MD, 2005, ANIMAL FEED SCI TECH, V120, P203 7512 FRASER MD, 2007, IN PRESS LIVESTOCK S 7513 GIBON A, 2005, LIVEST PROD SCI, V96, P11 7514 GRANT SA, 1963, J BRIT GRASSLAND SOC, V18, P249 7515 GRANT SA, 1996, J APPL ECOL, V33, P1267 7516 HAYES GF, 2003, CONSERV BIOL, V17, P1694 7517 JONES BA, 1995, CROP SCI, V35, P537 7518 KEMPSTER AJ, 1986, MEAT SCI, V17, P107 7519 LAFONTAN M, 2002, ANN ENDOCRINOL-PAR 1, V63, P86 7520 LEE MRF, 2004, J SCI FOOD AGR, V84, P1639 7521 LIU Q, 1996, J ANIM SCI, V74, P117 7522 MARRS RH, 2004, J APPL ECOL, V41, P398 7523 MCDONALD P, 1991, BIOCH SILAGE 7524 MCDOUGALL DB, 1982, FOOD CHEM, V9, P74 7525 MERRY RJ, 2000, GRASS ITS PRODUCTION, P216 7526 MORENO DA, 2003, NUTRITION, V19, P876 7527 ORIORDAN EG, 2000, BRIT GRASSLAND SOC O, V35, P43 7528 PYKALA J, 2005, AGR ECOSYST ENVIRON, V108, P109 7529 RICHARDSON RI, 2005, P 21 INT C MEAT SCI 7530 ROOK AJ, 2004, BIOL CONSERV, V119, P137 7531 RUDEFORTH CC, 1984, B SOIL SURVEY ENGLAN, V11 7532 SCOLLAN N, 2006, MEAT SCI, V74, P17 7533 SHELDRICK RD, 1987, LEGUMES MEAT MILK 7534 SHI J, 2004, J MED FOOD, V7, P67 7535 SPEIJERS MHM, 2004, J AGR SCI 4, V142, P483 7536 SPEIJERS MHM, 2005, ANIM FEED SCI TECH, V120, P203 7537 TARLADGIS BG, 1960, J AM OIL CHEM SOC, V37, P44 7538 TEYE GA, 2006, MEAT SCI, V73, P157 7539 THOMAS C, 1981, ANIM PROD, V32, P149 7540 THOMAS TA, 1977, J SCI FD AGRIC, V28, P639 7541 TILLEY JMA, 1963, J BRIT GRASSLAND SOC, V18, P104 7542 TODD PA, 2000, GRASS FORAGE SCI, V55, P181 7543 WILMAN D, 2002, J R AGR SOC ENGL, V163, P62 7544 WINTERS AL, 2002, ANIM FEED SCI TECH, V99, P177 7545 WOOLFORD MK, 1998, MICROBIOLOGY FERMENT, P23 7546 WRIGHT IA, 1986, ANIM PROD, V43, P211 7547 WRIGHT IA, 1989, ANIM PROD, V48, P43 7548 WRIGHT IA, 1989, GRASS FORAGE SCI, V44, P259 7549 WRIGHT IA, 1990, ANIM PROD, V51, P85 7550 WRIGHT IA, 1992, ANIM PROD, V54, P197 7551 ZHU WY, 1996, ANAEROBE, V2, P29 7552 NR 60 7553 TC 0 7554 PU BLACKWELL PUBLISHING 7555 PI OXFORD 7556 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 7557 SN 0142-5242 7558 J9 GRASS FORAGE SCI 7559 JI Grass Forage Sci. 7560 PD SEP 7561 PY 2007 7562 VL 62 7563 IS 3 7564 BP 284 7565 EP 300 7566 PG 17 7567 SC Agronomy 7568 GA 206TV 7569 UT ISI:000249206700005 7570 ER 7571 7572 PT J 7573 AU Benedetto, S 7574 Dinoi, L 7575 Montorsi, G 7576 Tarable, A 7577 AF Benedetto, Sergio 7578 Dinoi, Libero 7579 Montorsi, Guido 7580 Tarable, Alberto 7581 TI Design issues in the implementation of versatile, high-speed iterative 7582 decoders 7583 SO EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS 7584 LA English 7585 DT Article 7586 ID PARITY-CHECK CODES; TURBO CODES; PARALLEL TURBO; INTERLEAVER DESIGN; 7587 LDPC; ARCHITECTURES; CONSTRUCTION; PERFORMANCE 7588 AB The ever increasing demand for high data rate communication, and the 7589 use of radio resource management techniques requiring frame-by-frame 7590 adaptive coding/modulation to match user demands and channel 7591 conditions, pose a number of crucial problems to the design of 7592 versatile, high-speed iterative decoders, for both turbo-like and 7593 low-density parity-check codes. Among them, we mention: 7594 The modification of the Soft-Input Soft-Output (SISO) algorithm in a 7595 way that permits its implementation using several parallel processors 7596 working independently on segments of the received frame. 7597 The collisions in the process of reading/writing into/from the memory 7598 by the parallel processors. 7599 The design of prunable interleavers covering a wide range of 7600 information and/or code words lengths while keeping good spreading 7601 properties. 7602 The design of codes yielding a wide range of code rates with good 7603 performance for the range of probability of error of interest. 7604 The paper will touch all the previous points, offering state-of-the art 7605 solutions and examples showing their performance. Copyright (C) 2007 7606 John Wiley & Sons, Ltd. 7607 C1 Politecn Turin, CERCOM, I-10129 Turin, Italy. 7608 Ist Super Mario Boella, I-10138 Turin, Italy. 7609 RP Tarable, A, Politecn Turin, CERCOM, Corso Duca degli Abruzzi 24, 7610 I-10129 Turin, Italy. 7611 EM alberto.tarable@polito.it 7612 CR *3GPP2, 2000, CS0002C CDMA 7613 *3GTS, 2000, 25212340 3GTS 7614 ABBASFAR A, 2003, P ICASSP 2003 APR, P521 7615 ABBASFAR A, 2004, IEEE WIREL COMMUN, V3, P1611 7616 ALRAWI G, 2001, P IEEE GLOBECOM SAN, V5, P3012 7617 BABICH F, 2004, IEEE T COMMUN, V52, P681 7618 BENEDETTO S, 1998, EUR T TELECOMMUN, V9, P155 7619 BENEDETTO S, 1998, IEEE T INFORM THEORY, V44, P909 7620 BENEDETTO S, 2005, IEEE WIREL COMMUN, V12, P66 7621 BERROU C, 1993, P IEEE INT C COMM GE, P1064 7622 BERROU C, 2004, P IEEE INT C COMM IC, V1, P341 7623 BLANKSBY AJ, 2002, IEEE J SOLID-ST CIRC, V37, P404 7624 BLAZEK Z, 2002, IEEE 56 VEH TECHN C, V2, P981 7625 BOUTILLON E, 2000, P 2 INT S TURB COD R, P459 7626 CHOI E, 2005, IEEE INT S PERS IND 7627 CROZIER S, 2005, CAN WORKSH INF THEOR 7628 CROZIER SN, 2000, BIENN S COMM KINGST, P3 7629 DANESHGARAN F, 2004, IEEE T COMMUN, V52, P899 7630 DANESHGARAN F, 2005, IEEE T INFORMATION T, V30, P455 7631 DI CY, 2002, IEEE T INFORM THEORY, V48, P1570 7632 DINOI L, IN PRESS IEEE T COMM 7633 DINOI L, 2005, IEEE T COMMUN, V53, P1833 7634 DINOI L, 2005, IEEE T WIREL COMMUN, V4, P2540 7635 DINOI L, 2005, P IEEE INT C COMM SE, P647 7636 DINOI L, 2006, P IEEE INT C COMM IS 7637 DIVSALAR D, 1995, P 1995 IEEE INT C CO, V1, P54 7638 DOBKIN R, 2005, IEEE T VLSI SYST, V13, P427 7639 EROZ M, 1999, IEEE VTC P, P1669 7640 EROZ M, 2004, INT J SATELL COMM N, V22, P269 7641 FERRARI M, 2002, P IEEE INT COMM C IC, V3, P1711 7642 GALLAGER RG, 1963, LOW DENSITY PARITY 7643 GIULIETTI A, 2002, ELECTRON LETT, V38, P232 7644 GNAEDIG D, 2003, P 3 INT S TURB COD R, P343 7645 GNAEIG D, 2006, P 4 INT S TURB COD R 7646 HA J, 2004, IEEE T INFORM THEORY, V50, P2824 7647 HUNT A, 1999, P IMSC 99 OTT CAN, P276 7648 KIENLE F, 2003, P 3 INT S TURB COD R, P291 7649 KIENLE F, 2004, P 2004 AS S PAC DES, P459 7650 KIM E, 2005, IEEE WORKSH SIGN PRO 7651 KOU Y, 2001, IEEE T INFORM THEORY, V47, P2711 7652 KWAK J, 2002, ELECTRON LETT, V38, P1362 7653 LAND I, 2000, P 2 INT S TURB COD R, P287 7654 LI J, 2002, INT C COMM INT INF T 7655 LIAO E, 2004, P IEEE INT C COMM, V5, P2573 7656 MANSOUR MM, 2003, IEEE T VLSI SYST, V11, P976 7657 MANSOUR MM, 2004, P IEEE GLOB C COMM D, V4, P2583 7658 MOHIYUDDIN M, 2004, DES AUT CON, P488 7659 NAGARAJAN V, 2004, P IEEE GLOB TEL C GL, V1, P361 7660 NIMBALKER A, 2003, P 3 INT S TURB COD R, P355 7661 OLCER S, 2003, P GLOB SAN FRANC CA, P2046 7662 PARK IC, 2005, P IEEE ISCAS 23 26 M, P5778 7663 PING L, 1999, ELECTRON LETT, V35, P38 7664 POPOVSKI P, 2004, IEEE COMMUN LETT, V8, P461 7665 SHIN MC, 2003, IEEE COMMUN LETT, V7, P210 7666 SHIN MC, 2003, IEEE INT C SOL STAT, V1, P154 7667 SPEZIALI F, 2004, EUR S DIG SYST DES 2, P334 7668 TARABLE A, 2004, IEEE T INFORM THEORY, V50, P2002 7669 TARABLE A, 2005, INFORM THEORY WORKSH, P221 7670 THORPE J, IPN PROGR REPORT 7671 THUL MJ, 2002, 9 INT C EL CIRC SYST, V3, P1099 7672 YANG M, 2004, IEEE T COMMUN, V52, P564 7673 YAZDANI MR, 2004, IEEE COMMUN LETT, V8, P159 7674 YOON S, 2002, IEEE COMMUN LETT, V6, P288 7675 ZHANG T, 2003, EURASIP J APPL SIG P, V6, P530 7676 ZHANG Y, 2005, IEEE INT S INF THEOR, P174 7677 ZHONG H, 2005, IEEE T CIRCUITS-I, V52, P766 7678 NR 66 7679 TC 0 7680 PU JOHN WILEY & SONS LTD 7681 PI CHICHESTER 7682 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 7683 SN 1124-318X 7684 J9 EUR TRANS TELECOMMUN 7685 JI Eur. Trans. Telecomm. 7686 PD AUG 7687 PY 2007 7688 VL 18 7689 IS 5 7690 BP 529 7691 EP 540 7692 PG 12 7693 SC Telecommunications 7694 GA 195WQ 7695 UT ISI:000248443400010 7696 ER 7697 7698 PT J 7699 AU Mettes, TG 7700 van der Sanden, WJM 7701 Mokkink, HG 7702 Wensing, M 7703 Grol, RPTM 7704 Plasschaert, AJM 7705 AF Mettes, Theodorus G. 7706 van der Sanden, Wil J. M. 7707 Mokkink, Henk G. 7708 Wensing, Michel 7709 Grol, Richard P. T. M. 7710 Plasschaert, Alphons J. M. 7711 TI Routine oral examination: clinical performance and management by 7712 general dental practitioners in primary care 7713 SO EUROPEAN JOURNAL OF ORAL SCIENCES 7714 LA English 7715 DT Article 7716 DE process assessment; professional practice; quality of oral care; 7717 routine oral examination 7718 ID RISK; PATIENT; HEALTH 7719 AB The aim of this clinical study was to explore the contents of routine 7720 oral examinations (ROE), carried out by Dutch general dental 7721 practitioners (GDPs), in relation to the oral health status of 7722 regularly attending patients. An observational study was performed, 7723 based on clinical case recording. Using The Data Station Project of the 7724 Dutch Dental Association as the study base, 215 GDPs were recruited, of 7725 whom 131 participated in the study. A clinical case-recording form was 7726 developed to document clinical behavior. The contents assessed 7727 concerned patient characteristics, contents of the ROE visit, diagnoses 7728 made, and clinical behavior in response to ROE findings. This study 7729 showed substantial variation in clinical behavior related to specific 7730 ROE domains, including patient history and record keeping, whereas GDPs 7731 acted consistently on other domains, such as clinical examination and 7732 recall length assessment. Furthermore, the ROE performance was more 7733 strongly associated with GDP characteristics than with patient 7734 characteristics. The mean ROE time was 10 min, and recall intervals 7735 were most frequently assigned at 6 months, irrespective of the oral 7736 condition. This study highlights a need for continuing education to 7737 promote risk-based oral screening. Further research is needed to 7738 identify factors responsible for the variation in GDP performance, just 7739 as research on clinical practice guideline implementation methods is 7740 warranted. 7741 C1 Univ Nijmegen Radboud Med Ctr, Coll Oral Sci, Dept Prevent & Restorative Dent, Nijmegen, Netherlands. 7742 Univ Nijmegen Radboud Med Ctr, Ctr Quality Care Res, Nijmegen, Netherlands. 7743 RP Mettes, TG, Univ Nijmegen Radboud Med Ctr, Coll Oral Sci, PO Box 9101, 7744 NL-6500 HB Nijmegen, Netherlands. 7745 EM mettes@dent.umcn.nl 7746 CR *NICE, 2004, CLIN GUID 19 DENT RE 7747 BADER JD, 1995, J DENT EDUC, V59, P61 7748 BADER JD, 2003, J AM DENT ASSOC, V134, P1195 7749 BENN DK, 2002, HEALTH TECHNOL ASSES, V3, P62 7750 BRENNAN DS, 2002, J PUBLIC HEALTH DENT, V62, P148 7751 BRENNAN DS, 2006, INT DENT J, V56, P215 7752 CAMPBELL MK, 2001, STAT MED, V20, P391 7753 DENDEKKER J, 1990, TREATMENT PLANNING D 7754 ELDERTON RJ, 2003, MED PRIN PRACT S1, V12, P12 7755 GERBERT B, 1986, MED CARE, V24, P838 7756 GREMBOWSKI D, 1991, SOC SCI MED, V32, P287 7757 GRIMSHAW JM, 2004, HEALTH TECHNOL ASSES, V8, P1 7758 GROL R, 2001, MED CARE S2, V39, P1146 7759 IEZONNI LI, 1997, ANN INTERN MED, V127, P666 7760 KILLIP S, 2004, ANN FAM MED, V2, P204 7761 METTES TG, 2005, COMMUNITY DENT ORAL, V33, P219 7762 METTES TG, 2006, EUR J ORAL SCI, V114, P396 7763 PERSSON GR, 2003, J AM DENT ASSOC, V134, P575 7764 POORTERMAN JHG, 1997, THESIS U AMSTERDAM 7765 RETHANS JJ, 1996, FAM PRACT, V13, P468 7766 SHEIHAM A, 1977, LANCET, V2, P442 7767 SHEIHAM A, 2000, COMMUNITY DENT ORAL, V28, P399 7768 SNIJDERS T, 1999, MULTILEVEL ANAL INTR 7769 SPIES TH, 2004, INT J QUAL HEALTH C, V16, P65 7770 VANDEBERG H, 1998, TRANDARTSEN TANDARTS 7771 VANROSSUM GMJM, 2002, HET TANDEELKUNDING J, P49 7772 ZERO D, 2001, J DENT EDUC, V65, P1126 7773 NR 27 7774 TC 0 7775 PU BLACKWELL PUBLISHING 7776 PI OXFORD 7777 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 7778 SN 0909-8836 7779 J9 EUR J ORAL SCI 7780 JI Eur. J. Oral Sci. 7781 PD OCT 7782 PY 2007 7783 VL 115 7784 IS 5 7785 BP 384 7786 EP 389 7787 PG 6 7788 SC Dentistry, Oral Surgery & Medicine 7789 GA 210AF 7790 UT ISI:000249428400007 7791 ER 7792 7793 PT J 7794 AU Fugazzola, L 7795 Persani, L 7796 Vannucchi, G 7797 Carletto, M 7798 Mannavola, D 7799 Vigone, MC 7800 Cortinovis, F 7801 Beccaria, L 7802 Longari, V 7803 Weber, G 7804 Beck-Peccoz, P 7805 AF Fugazzola, Laura 7806 Persani, Luca 7807 Vannucchi, Guia 7808 Carletto, Marco 7809 Mannavola, Deborah 7810 Vigone, Maria Cristina 7811 Cortinovis, Francesca 7812 Beccaria, Luciano 7813 Longari, Virgilio 7814 Weber, Giovanna 7815 Beck-Peccoz, Paolo 7816 TI Thyroid scintigraphy and perchlorate test after recombinant human TSH: 7817 a new tool for the differential diagnosis of congenital hypothyroidism 7818 during infancy 7819 SO EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 7820 LA English 7821 DT Article 7822 DE recombinant human TSH; congenital hypothyroidism; total iodide 7823 organification defect; thyroid scintigraphy; perchlorate test 7824 ID IODIDE ORGANIFICATION DEFECT; RECEPTOR GENE; MUTATIONS 7825 AB Purpose Prompt initiation of L-thyroxine therapy in neonates with 7826 congenital hypothyroidism (CH) often prevents the performance of 7827 functional studies. Aetiological diagnosis is thus postponed until 7828 after infancy, when the required investigations are performed after 7829 L-thyroxine withdrawal. The aim of this study was to verify the 7830 efficacy and safety of new protocols for rhTSH (Thyrogen) testing 7831 during L-thyroxine replacement in the differential diagnosis of CH. 7832 Methods Ten CH patients (15-144 months old) were studied. Seven had 7833 neonatal evidence of gland in situ at the ultrasound examination 7834 performed at enrolment and received two rhTSH injections (4 mu g/kg 7835 daily, i.m.) with I-123 scintigraphy and perchlorate test on day 3. 7836 Three patients with an ultrasound diagnosis of thyroid dysgenesis 7837 received three rhTSH injections with I-123 scintigraphy on days 3 and 7838 4. TSH and thyroglobulin (Tg) determinations were performed on days 1, 7839 3 and 4, and neck ultrasound on day 1. 7840 Results rhTSH stimulation caused Tg levels to increase in eight cases. 7841 Blunted Tg responses were seen in two patients with ectopia and 7842 hypoplasia. Interestingly, in two cases the association of different 7843 developmental defects was demonstrated. Perchlorate test revealed a 7844 total iodide organification defect in two patients, including one with 7845 a neonatal diagnosis of Pendred's syndrome, who were subsequently found 7846 to harbour TPO mutations. rhTSH did not cause notable side-effects. 7847 Conclusion These new rhTSH protocols always resulted in accurate 7848 disease characterisation, allowing specific management and targeted 7849 genetic analyses. Thus, rhTSH represents a valid and safe alternative 7850 to L-thyroxine withdrawal in the differential diagnosis of CH in 7851 paediatric patients. 7852 C1 Univ Milan, Dept Med Sci, I-20122 Milan, Italy. 7853 Fdn Policlin IRCCS, I-20122 Milan, Italy. 7854 Univ Vita Salute San Raffaele, Ctr Endocrinol Infanzia Adolescenza, Milan, Italy. 7855 A Manzoni Hosp, Paediat Unit, Lecce, Italy. 7856 Fdn Policlin IRCCS, Dept Nucl Med, Milan, Italy. 7857 Univ Milan, Dept Med Sci, I-20095 Milan, Italy. 7858 Univ Milan, Ist Auxol Italiano, I-20095 Milan, Italy. 7859 RP Fugazzola, L, Univ Milan, Dept Med Sci, Via F Sforza, I-20122 Milan, 7860 Italy. 7861 EM l.fugazzola@policlinico.mi.it 7862 CR *AM AC PED, 1993, PEDIATRICS, V91, P1203 7863 ALBERTI L, 2002, J CLIN ENDOCR METAB, V87, P2549 7864 CHANOINE JP, 1991, EUR J PEDIATR, V150, P395 7865 CLIFTONBLIGH RJ, 1997, J CLIN ENDOCR METAB, V82, P1094 7866 CONGDON T, 2001, J CLIN ENDOCR METAB, V86, P3962 7867 DEVIJLDER JJM, 2000, WERNER INGBARS THYRO, P733 7868 DEVOS H, 1999, J CLIN ENDOCR METAB, V84, P2505 7869 FISHER DA, 1991, J CLIN ENDOCR METAB, V72, P523 7870 FOLEY TP, 2000, WERNER INGBARS THYRO, P977 7871 FUGAZZOLA L, 2002, PEDIATR RES, V51, P479 7872 FUGAZZOLA L, 2003, CLIN ENDOCRINOL, V59, P230 7873 FUGAZZOLA L, 2003, J CLIN ENDOCR METAB, V88, P3264 7874 FUGAZZOLA L, 2005, THYROID, V15, P1085 7875 HSU CY, 1994, CLIN NUCL MED, V19, P546 7876 TOUBLANC JE, 1999, ACTA PAEDIATR S432, V88, P13 7877 NR 15 7878 TC 0 7879 PU SPRINGER 7880 PI NEW YORK 7881 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 7882 SN 1619-7070 7883 J9 EUR J NUCL MED MOL IMAGING 7884 JI Eur. J. Nucl. Med. Mol. Imaging 7885 PD SEP 7886 PY 2007 7887 VL 34 7888 IS 9 7889 BP 1498 7890 EP 1503 7891 PG 6 7892 SC Radiology, Nuclear Medicine & Medical Imaging 7893 GA 203LG 7894 UT ISI:000248975500022 7895 ER 7896 7897 PT J 7898 AU Singh, RP 7899 Huerta-Espino, J 7900 Sharma, R 7901 Joshi, AK 7902 Trethowan, R 7903 AF Singh, R. P. 7904 Huerta-Espino, J. 7905 Sharma, R. 7906 Joshi, A. K. 7907 Trethowan, R. 7908 TI High yielding spring bread wheat germplasm for global irrigated and 7909 rainfed production systems 7910 SO EUPHYTICA 7911 LA English 7912 DT Article 7913 DE grain yield; global performance; selected bulk; single-backcross; 7914 stability; Triticum aestivum; wheat 7915 ID ENVIRONMENTS; IMPROVEMENT; LR19 7916 AB Global wheat (Triticum aestivum L.) production must increase 2% 7917 annually until 2020 to meet future demands. Breeding wheat cultivars 7918 with increased grain yield potential, enhanced water-use efficiency, 7919 heat tolerance, end-use quality, and durable resistance to important 7920 diseases and pests can contribute to meet at least half of the desired 7921 production increases. The remaining half must come through better 7922 agronomic and soil management practices and incentive policies. 7923 Analyses of the recent International Yield Trials indicate that grain 7924 yields of the best new entries were usually 10% higher than the local 7925 checks globally, as well as within a country across sites. Variation in 7926 yield across sites within a country/region underline the role of 7927 genotype x environment (GE) interaction and provides opportunities to 7928 select for stable genotypes, which is not often done. The lack of 7929 proper analysis undermines proper utilization of germplasm with high 7930 yield potential and stability in the national wheat breeding programs. 7931 Some of the best performers in irrigated areas were amongst the best in 7932 semiarid environments, reinforcing the fact that high yield potential 7933 and drought tolerance can be improved simultaneously. The best 7934 performing lines often had genotypic base of widely adapted genotypes 7935 Kauz, Attila, Baviacora, and Pastor, with genetic contributions from 7936 other parents including synthetic wheat. We recommend within country 7937 multilocation analysis of trial performance for a crop season to 7938 identify lines suiting particular or different locations within a 7939 country. The immediate feedback on GE interaction will also help in 7940 breeding lines for countries having substantial variation across 7941 locations and years. 7942 C1 CIMMYT, Mexico City 06600, DF, Mexico. 7943 INIFAP, Campo Expt Valle Mexico, Chapingo, Mexico. 7944 Inst Agr & Anim Sci, Rampur, Nepal. 7945 Banaras Hindu Univ, Inst Agr Sci, Dept Genet & Plant Breeding, Varanasi 221005, Uttar Pradesh, India. 7946 RP Singh, RP, CIMMYT, Apdo Postal 6-641, Mexico City 06600, DF, Mexico. 7947 EM R.Singh@cgiar.org 7948 CR *FAO, 2006, STAT DAT 7949 HUERTAESPINO J, 2005, 7 INT WHEAT C WHEAT 7950 KNOTT DR, 1980, CAN J GENET CYTOL, V22, P651 7951 LILLEMO M, 2005, CROP SCI, V45, P2443 7952 RAJARAM S, 2002, BREAD WHEAT IMPROVEM, P103 7953 RASMUSSON DC, 1996, INCREASING YIELD POT, P28 7954 REYNOLDS MP, 2001, EUPHYTICA, V119, P137 7955 REYNOLDS MP, 2006, J AGR SCI 2, V144, P95 7956 SAYRE KD, 1997, CROP SCI, V37, P36 7957 SINGH RP, 1998, CROP SCI, V38, P27 7958 SINGH RP, 1998, EUPHYTICA, V100, P35 7959 SINGH RP, 2004, P 54 AUSTR CER CHEM, P48 7960 TRETHOWAN RM, 2001, CROP SCI, V41, P1461 7961 TRETHOWAN RM, 2003, ANN WHEAT NEWSLETTER, V49, P67 7962 TRETHOWAN RM, 2003, CROP SCI, V43, P1698 7963 WANG JK, 2003, CROP SCI, V43, P1764 7964 YAN W, 2002, GGE BIPLOT ANAL GRAP 7965 NR 17 7966 TC 1 7967 PU SPRINGER 7968 PI DORDRECHT 7969 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 7970 SN 0014-2336 7971 J9 EUPHYTICA 7972 JI Euphytica 7973 PD OCT 7974 PY 2007 7975 VL 157 7976 IS 3 7977 BP 351 7978 EP 363 7979 PG 13 7980 SC Agronomy; Plant Sciences; Horticulture 7981 GA 209QV 7982 UT ISI:000249404000007 7983 ER 7984 7985 PT J 7986 AU Saloranta, TM 7987 Andersen, T 7988 AF Saloranta, Tuomo M. 7989 Andersen, Tom 7990 TI MyLake - A multi-year lake simulation model code suitable for 7991 uncertainty and sensitivity analysis simulations 7992 SO ECOLOGICAL MODELLING 7993 LA English 7994 DT Article 7995 DE water management; modelling sensitivity analysis; uncertainty analysis; 7996 MyLake 7997 ID WATER-QUALITY; ICE; TEMPERATURE; PREDICTION; SEA 7998 AB Uncertainty and sensitivity analysis provide powerful means to enhance 7999 the performance of the models, to increase the transparency and 8000 credibility of the model results, and to allow the decision-maker to 8001 judge whether the model results are sufficiently accurate and precise 8002 to support decision-making or not. Uncertainty and sensitivity analysis 8003 of numerical models usually require hundreds, thousands, or even more, 8004 repeated model runs (e.g., in Monte Carlo simulation) as well as access 8005 to change the model parameters and variables on each model run. 8006 Consequently, many model codes, although widely used and 8007 well-formulated, are not well-suited for uncertainty and sensitivity 8008 analysis due to too long model execution time or due to lack of 8009 suitable interface to change model parameters and variables in an 8010 automated way. In this paper, we describe in details a lake model code, 8011 which aims to combine good simulation capabilities with efficient model 8012 execution time and easy application of numerical uncertainty and 8013 sensitivity analysis techniques. This model code is called MyLake 8014 (Multi-year Lake simulation model) and it is a one-dimensional 8015 process-based model code for simulation of daily vertical distribution 8016 of lake water temperature and thus density stratification, evolution of 8017 seasonal lake ice and snow cover, sediment-water interactions, and 8018 phosphorus-phytoplankton dynamics. After giving a detailed technical 8019 description of the different processes and algorithms included in the 8020 current version 1.2 of the MyLake model code, we present some results 8021 from a model application example including an Extended Fourier 8022 Amplitude Sensitivity Test (Extended FAST) sensitivity analysis and a 8023 simple Monte Carlo simulation based uncertainty analysis. Finally we 8024 discuss the performance of the MyLake code, especially in connection 8025 with numerical uncertainty and sensitivity analysis techniques. 8026 C1 Norwegian Inst Water Res, N-0349 Oslo, Norway. 8027 Univ Oslo, Dept Biol, N-0316 Oslo, Norway. 8028 RP Saloranta, TM, Norwegian Inst Water Res, Gaustadalleen 21, N-0349 Oslo, 8029 Norway. 8030 EM tuomo.saloranta@niva.no 8031 CR *UNESCO, 1981, 36 UNESCO 8032 BLENCKNER T, 2002, AQUAT SCI, V64, P171 8033 CULLEN AC, 1999, PROBABILISTIC TECHNI 8034 DALE VH, 2003, ECOLOGICAL MODELING, P328 8035 DHAMOTHARAN S, 1981, WATER RESOUR RES, V17, P1125 8036 EKHOLM P, 1998, MONOGR BOREAL ENV RE, P11 8037 FANG X, 1996, COLD REG SCI TECHNOL, V24, P289 8038 FORD DE, 1980, J HYDRAULICS DIVISIO, V106, P39 8039 GAMERMAN D, 1997, MARKOV CHAIN M CARLO 8040 HAMILTON DP, 1997, ECOL MODEL, V96, P91 8041 HONDZO M, 1993, J HYDRAUL ENG-ASCE, V119, P1251 8042 JASSBY AD, 1976, LIMNOL OCEANOGR, V21, P540 8043 KANKAALA P, 2006, LIMNOL OCEANOGR, V51, P1195 8044 KIRK JTO, 1983, LIGHT PHOTOSYNTHESIS 8045 LEPPARANTA M, 1993, ATMOS OCEAN, V31, P123 8046 LYDERSEN E, 2003, 47202003 NIVA 8047 MALVE O, 2005, ECOL MODEL, V182, P183 8048 OMLIN M, 2001, ECOL MODEL, V141, P77 8049 PEROVICH DK, 1998, PHYSICS ICE COVERED, P195 8050 REFSGAARD JC, 2004, ADV WATER RESOUR, V27, P71 8051 RILEY MJ, 1988, ECOL MODEL, V43, P155 8052 SALORANTA TM, 2000, TELLUS A, V52, P93 8053 SALORANTA TM, 2003, ENVIRON MANAGE, V32, P322 8054 SALORANTA TM, 2004, 4838 NIVA 8055 SALORANTA TM, 2006, ECOL MODEL, V194, P316 8056 SALTELLI A, 1999, TECHNOMETRICS, V41, P39 8057 SALTELLI A, 2000, SENSITIVITY ANAL, P181 8058 SOLHEIM AL, 2001, 43772001 NORW I WAT 8059 STALNACKE PG, 2005, 4937 NIVA 8060 VOLLENWEIDER RA, 1974, IBP HDB, V12, P225 8061 WEBSTER IT, 2001, ISOTHERM ANAL SEDIME 8062 WETZEL RG, 2001, LIMNOLOGY LAKE RIVER, P55 8063 YEN YC, 1981, REV THERMAL PROPERTI 8064 NR 33 8065 TC 0 8066 PU ELSEVIER SCIENCE BV 8067 PI AMSTERDAM 8068 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 8069 SN 0304-3800 8070 J9 ECOL MODEL 8071 JI Ecol. Model. 8072 PD SEP 16 8073 PY 2007 8074 VL 207 8075 IS 1 8076 BP 45 8077 EP 60 8078 PG 16 8079 SC Ecology 8080 GA 209WH 8081 UT ISI:000249418200006 8082 ER 8083 8084 PT J 8085 AU Rinella, MJ 8086 Pokorny, ML 8087 Rekaya, R 8088 AF Rinella, Matthew J. 8089 Pokorny, Monica L. 8090 Rekaya, Romdhane 8091 TI Grassland invader responses to realistic changes in native species 8092 richness 8093 SO ECOLOGICAL APPLICATIONS 8094 LA English 8095 DT Article 8096 DE Bayesian; biodiversity; Centaurea maculosa; forbs; grasses; 8097 invasibility; invasion resistance; local extinction; spotted knapweed 8098 ID PLANT COMMUNITY; INVASION RESISTANCE; ECOSYSTEM FUNCTION; LIFE-HISTORY; 8099 BIODIVERSITY; DIVERSITY; INVASIBILITY; COMPLEMENTARITY; DETERMINANTS; 8100 PRODUCTIVITY 8101 AB The importance of species richness for repelling exotic plant invasions 8102 varies from ecosystem to ecosystem. Thus, in order to prioritize 8103 conservation objectives, it is critical to identify those ecosystems 8104 where decreasing richness will most greatly magnify invasion risks. Our 8105 goal was to determine if invasion risks greatly increase in response to 8106 common reductions in grassland species richness. We imposed treatments 8107 that mimic management-induced reductions in grassland species richness 8108 (i.e., removal of shallow- and/or deep-rooted forbs and/or grasses 8109 and/or cryptogam layers). Then we introduced and monitored the 8110 performance of a notorious invasive species (i.e., Centaurea maculosa). 8111 We found that, on a per-gram-of-biomass basis, each resident plant 8112 group similarly suppressed invader growth. Hence, with respect to 8113 preventing C. maculosa invasions, maintaining overall productivity is 8114 probably more important than maintaining the productivity of particular 8115 plant groups or species. But at the sites we studied, all plant groups 8116 may be needed to maintain overall productivity because removing forbs 8117 decreased overall productivity in two of three years. Alternatively, 8118 removing forbs increased productivity in another year, and this led us 8119 to posit that removing forbs may inflate the temporal productivity 8120 variance as opposed to greatly affecting time-averaged productivity. In 8121 either case, overall productivity responses to single plant group 8122 removals were inconsistent and fairly modest, and only when all plant 8123 groups were removed did C. maculosa growth increase substantially over 8124 a no-removal treatment. As such, it seems that intense disturbances 8125 (e.g., prolonged drought, overgrazing) that deplete multiple plant 8126 groups may often be a prerequisite for C. maculosa invasion. 8127 C1 USDA, Agr Res Serv, Livestock & Range Res Lab, Miles City, MT 59301 USA. 8128 Montana State Univ, Dept Land Resources & Environm Sci, Bozeman, MT 59717 USA. 8129 Univ Georgia, Rhodes Ctr Anim & Dairy Sci, Dept Dairy & Anim Sci, Athens, GA 30602 USA. 8130 RP Rinella, MJ, USDA, Agr Res Serv, Livestock & Range Res Lab, 243 Fort 8131 Keogh Rd, Miles City, MT 59301 USA. 8132 EM mrinella@larrl.ars.usda.gov 8133 CR BRIGGS JM, 1995, AM J BOT, V82, P1024 8134 BURLESON WH, 1982, J RANGE MANAGE, V35, P223 8135 DAVIS MA, 2000, J ECOL, V88, P528 8136 DAVIS MA, 2001, ECOL LETT, V4, P421 8137 DUNCAN RP, 2000, ECOLOGY, V81, P3048 8138 ERIKSSON O, 2006, BIOL INVASIONS, V8, P355 8139 FARGIONE JE, 2005, ECOL LETT, V8, P604 8140 GELMANA, 2004, BAYESIAN DATA ANAL 8141 GOLDBERG DE, 1987, ECOLOGY, V68, P1211 8142 HECTOR A, 2002, ECOL LETT, V5, P502 8143 HEWITT GB, 1983, J RANGE MANAGE, V36, P202 8144 HUSTON MA, 1997, OECOLOGIA, V110, P449 8145 HUSTON MA, 1998, SCIENCE, V289, A1225 8146 JACOBS JS, 1998, J RANGE MANAGE, V51, P665 8147 KASS RE, 1995, J AM STAT ASSOC, V90, P773 8148 KENNEDY TA, 2002, NATURE, V417, P636 8149 KULSHRESHTHA SN, 2002, CAN J PLANT SCI, V82, P739 8150 LYONS KG, 2001, ECOL LETT, V4, P358 8151 MACK RN, 1982, AM NAT, V119, P757 8152 MCDANIEL KC, 2005, RANGELAND ECOLOGY MA, V58, P77 8153 MILBAU A, 2003, NEW PHYTOL, V159, P657 8154 MILBAU A, 2005, FUNCT ECOL, V19, P27 8155 MILLER TE, 1987, ECOLOGY, V68, P1201 8156 MUEGGLER WF, 1980, GRASSLAND SHRUBLAND 8157 NAEEM S, 1996, OIKOS, V76, P259 8158 NAEEM S, 2000, OIKOS, V91, P97 8159 OCONNOR TG, 1991, AM NAT, V137, P753 8160 PAVLU V, 2006, GRASS FORAGE SCI, V61, P42 8161 PEART DR, 1989, J ECOL, V77, P252 8162 PIMM SL, 1995, SCIENCE, V269, P347 8163 POKORNY ML, 2004, WEST N AM NATURALIST, V64, P219 8164 POKORNY ML, 2005, RESTOR ECOL, V13, P448 8165 POWER ME, 1996, BIOSCIENCE, V46, P609 8166 PRIEURRICHARD AH, 2000, ECOL LETT, V3, P412 8167 RALPHS MH, 1990, WEED SCI, V38, P573 8168 SHELEY RL, 1999, BIOL MANAGEMENT NOXI 8169 SKINNER RH, 2004, CROP SCI, V44, P1361 8170 TILMAN D, 1997, ECOLOGY, V78, P81 8171 TILMAN D, 2001, SCIENCE, V294, P843 8172 TILMAN D, 2006, NATURE, V441, P629 8173 VITOUSEK PM, 1997, SCIENCE, V277, P494 8174 WARDLE DA, 2001, OIKOS, V95, P161 8175 WARDLE DA, 2005, NATURE, V435, P806 8176 WARREN SD, 2003, BIOL SOIL CRUSTS STU, P401 8177 WEAVER JE, 1935, ECOLOGY, V16, P612 8178 WRIGHT SD, 2006, ECOL LETT, V9, P111 8179 NR 46 8180 TC 0 8181 PU ECOLOGICAL SOC AMER 8182 PI WASHINGTON 8183 PA 1707 H ST NW, STE 400, WASHINGTON, DC 20006-3915 USA 8184 SN 1051-0761 8185 J9 ECOL APPL 8186 JI Ecol. Appl. 8187 PD SEP 8188 PY 2007 8189 VL 17 8190 IS 6 8191 BP 1824 8192 EP 1831 8193 PG 8 8194 SC Ecology 8195 GA 207GS 8196 UT ISI:000249240200022 8197 ER 8198 8199 PT J 8200 AU Voorsluys, W 8201 Araujo, E 8202 Cirne, W 8203 Galvao, CO 8204 Souza, EP 8205 Cavalcanti, EP 8206 AF Voorsluys, William 8207 Araujo, Eliane 8208 Cirne, Walfredo 8209 Galvao, Carlos O. 8210 Souza, Enio P. 8211 Cavalcanti, Enilson P. 8212 TI Fostering collaboration to better manage water resources 8213 SO CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 8214 LA English 8215 DT Article 8216 DE distributed systems; grid computing; grid portal; e-science; water 8217 management 8218 AB Good water management is literally vital for the and and semi-arid 8219 regions of the planet. Yet good water management requires 8220 multidisciplinary expertise, since one must consider climatic, 8221 hydrological, economical and social aspects to make balanced decisions 8222 on water usage. We here present SegHidro, a Grid portal designed to 8223 foster scientific, technical and operational collaboration to improve 8224 water resources management. The portal targets researchers and decision 8225 makers, enabling them to execute and couple their computational models 8226 in a workflow. The portal provides a framework which allows seamless 8227 integration of the models, meaning that each phase of the flow may be 8228 executed by a different expert and that the resulting data are shared 8229 among other portal users. Due to the nature of these applications and 8230 the need to execute many prospective scenarios, their execution 8231 requires high computing power. However, we go beyond providing 8232 high-performance computational Grid capabilities. We also enable people 8233 to complement each other's expertise in understanding the trade-offs in 8234 the water allocation decisions. The SegHidro portal is about sharing: 8235 human expertise, data and computing power. Copyright (c) 2007 John 8236 Wiley & Sons, Ltd. 8237 C1 Univ Fed Campina Grande, Lab Sistemas Distribuidos, BR-58109970 Campina Grande, PB, Brazil. 8238 Univ Fed Campina Grande, Dept Sistemas & Computacao, Campina Grande, PB, Brazil. 8239 Univ Fed Campina Grande, Dept Civil Engn, Campina Grande, PB, Brazil. 8240 Univ Fed Campina Grande, Dept Ciencias Atmosfer, Campina Grande, PB, Brazil. 8241 RP Cirne, W, Univ Fed Campina Grande, Lab Sistemas Distribuidos, Av 8242 Aprigio Veloso 882 Bloco CO, BR-58109970 Campina Grande, PB, Brazil. 8243 EM walfredo@dsc.ufcg.edu.br 8244 CR ALLCOCK B, 2001, P SUP 2001 ELS AMST, P20 8245 ANDRADE N, 2004, P 13 IEEE S HIGH PER, P129 8246 BARHAM P, 2003, P 19 ACM S OP SYST P, P164 8247 CHERVENAK A, 2000, J NETW COMPUT APPL, V23, P187 8248 CIRNE W, 2006, IN PRESS J GRID COMP 8249 CORNILLON P, 2003, DATA SCI J, V2, P164 8250 DAHAN M, 2002, CONCURR COMP-PRACT E, V10, P1427 8251 DROEGEMEIER K, 2005, P 2U C INT INF PROC 8252 FAYAD M, 1999, BUILDING APPL FRAMEW 8253 FOSTER I, 1998, GRID BLUEPRINT NEW C 8254 GANNON D, 2003, GRID PROTALS SCI ACC 8255 NETTO MAS, 2003, P 2003 INT C PAR PRO, P555 8256 SANTOSNETO E, 2005, LECT NOTES COMPUT SC, V3277, P210 8257 WANG YQ, 2004, J METEOROL SOC JPN, V82, P1599 8258 NR 14 8259 TC 1 8260 PU JOHN WILEY & SONS LTD 8261 PI CHICHESTER 8262 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 8263 SN 1532-0626 8264 J9 CONCURR COMPUT-PRACT EXP 8265 JI Concurr. Comput.-Pract. Exp. 8266 PD AUG 25 8267 PY 2007 8268 VL 19 8269 IS 12 8270 BP 1609 8271 EP 1620 8272 PG 12 8273 SC Computer Science, Software Engineering; Computer Science, Theory & 8274 Methods 8275 GA 208GM 8276 UT ISI:000249307800005 8277 ER 8278 8279 PT J 8280 AU Cheuk, DKL 8281 Yeung, WF 8282 Chung, KF 8283 Wong, V 8284 AF Cheuk, D. K. L. 8285 Yeung, W. F. 8286 Chung, K. F. 8287 Wong, V 8288 TI Acupuncture for insomnia 8289 SO COCHRANE DATABASE OF SYSTEMATIC REVIEWS 8290 LA English 8291 DT Review 8292 ID QUALITY-OF-LIFE; STAGE RENAL-DISEASE; PRIMARY-CARE; COMPLEMENTARY 8293 MEDICINE; TREATMENT EFFICACY; AURICULAR THERAPY; SLEEP QUALITY; 8294 METAANALYSIS; STIMULATION; MANAGEMENT 8295 AB Background 8296 Although conventional non-pharmacological and pharmacological 8297 treatments for insomnia are effective in many people, alternative 8298 therapies such as acupuncture are still widely practiced. However, it 8299 remains unclear whether the existing evidence is rigorous enough to 8300 support its use. 8301 Objectives 8302 To determine the efficacy and safety of acupuncture in people with 8303 insomnia. 8304 Search strategy 8305 We searched the Cochrane Central Register of Controlled Trials ( 8306 CENTRAL), MEDLINE, EMBASE, PsycINFO, Dissertation Abstracts 8307 International, CINAHL, AMED ( the Allied and Complementary Medicine 8308 Database), TCMLARS ( Traditional Chinese Medical Literature Analysis 8309 and Retrieval System), National Center for Complementary and 8310 Alternative Medicine, the National Institute of Health Clinical Trials 8311 Database, the Chinese Acupuncture Trials Register, the Trials Register 8312 of the Cochrane Complementary Medicine Field, from inception to 2006, 8313 and the sleep bibliography, which is available at 8314 www.websciences.org/bibliosleep. We searched reference lists of 8315 retrieved articles, and contacted trial authors and experts in the 8316 field for information on ongoing/completed trials. 8317 Selection criteria 8318 Randomised controlled trials evaluating any form of acupuncture 8319 involving participants of any age with any type of insomnia were 8320 included. Included trials compared acupuncture with placebo or sham or 8321 no treatment, or acupuncture plus other treatments compared with the 8322 same other treatments. Trials that compared only acupuncture methods or 8323 compared acupuncture alone against other treatments alone were 8324 excluded, since they did not yield the net effect of acupuncture. 8325 Data collection and analysis 8326 Two review authors independently extracted data and assessed quality 8327 according to a set of criteria for risk of selection bias, performance 8328 bias, attrition bias and detection bias. Relative risk (RR) and 8329 standardised mean difference (SMD) with 95% confidence intervals were 8330 used for binary and continuous outcomes respectively. Data were 8331 combined in meta-analyses ( on an intention-to-treat basis), where more 8332 than one trial without significant clinical heterogeneity presented the 8333 same outcome. 8334 Main results 8335 Seven trials met the inclusion criteria. The studies included 590 8336 participants with insomnia, of whom 56 dropped out. Participant age 8337 ranged from 15 to 98 years, and the duration of insomnia varied from 6 8338 months to 19 years. Co-existingmedical conditions contributing to 8339 insomnia included stroke, end-stage renal disease and pregnancy. Apart 8340 from conventional needle acupuncture, different variants of acupuncture 8341 such as acupressure, auricular magnetic and seed therapy, and 8342 transcutaneous electrical acupoint stimulation ( TEAS) were evaluated. 8343 Meta-analysis was limited because of considerable heterogeneity between 8344 comparison groups and between outcome measures. 8345 Based on the findings from individual trials, the review suggested that 8346 acupuncture and acupressure may help to improve sleep quality scores 8347 when compared to placebo ( SMD = -1.08, 95% CI = -1.86 to -0.31, 8348 p=0.006) or no treatment ( SMD -0.55, 95% CI = 0.89 to -0.21, p=0.002). 8349 TEAS also resulted in better sleep quality score in one trial (SMD= 8350 -0.74, 95% CI = -1.22 to -0.26, p=0.003). However, the efficacy of 8351 acupuncture or its variants was inconsistent between studies for many 8352 sleep parameters, such as sleep onset latency, total sleep duration and 8353 wake after sleep onset. The combined result from three studies 8354 reporting subjective insomnia improvement showed that acupuncture or 8355 its variants was not more significantly effective than control (RR = 8356 1.66, 95% CI = 0.68 to -4.03) and significant statistical heterogeneity 8357 was observed. Only one study reported an adverse event, with one out of 8358 16 patients (6.3%) withdrawing from acupuncture because of pain. 8359 Authors' conclusions 8360 The small number of randomised controlled trials, together with the 8361 poor methodological quality and significant clinical heterogeneity, 8362 means that the current evidence is not sufficiently extensive or 8363 rigorous to support the use of any form of acupuncture for the 8364 treatment of insomnia. Larger high quality clinical trials employing 8365 appropriate randomisation concealment and blinding with longer 8366 follow-up are needed to further investigate the efficacy and safety of 8367 acupuncture for the treatment of insomnia. 8368 C1 Univ Hong Kong, Dept Pediat & Adolescent Med, Hong Kong, Hong Kong, Peoples R China. 8369 RP Cheuk, DKL, Univ Hong Kong, Dept Pediat & Adolescent Med, Pokfulam Rd, 8370 Hong Kong, Hong Kong, Peoples R China. 8371 EM cheukkld@hkucc.hku.hk 8372 CR *AM AC SLEEP MED, 2005, INT CLASS SLEEP DIS 8373 *AM PSYCH ASS, 1994, DIAGN STAT MAN MENT 8374 *GALL ORG, 1995, SLEEP AM NAT SURV US 8375 *NAT SLEEP FOUND, 2000, IMN SLEEP AM POLL 20 8376 *NIH, 1983, US MED PROM SLEEP, V4 8377 *NIH, 1990, NIH CONSENSUS STATE, V8, P1 8378 *NIH, 2005, HIN STAT SCI STAT, V22, P1 8379 *SWED COLL SENS ST, 1999, CEREBROUVASCULAR DIS, V9, P28 8380 *WHO, 1992, INT STAT CLASS DIS R 8381 ALDERSON P, 2003, COCHRANE REVIEWERS H 8382 ANCOLIISRAEL S, 2000, SLEEP S1, V23, S23 8383 BASTIEN CH, 2001, SLEEP MED, V2, P297 8384 BECKERCARUS C, 1985, Z KLIN PSYCHOL PSYCH, V33, P161 8385 BIRCH S, 2003, CLIN ACUPUNCT ORIENT, V4, P59 8386 BLIWISE DL, 1993, SLEEP, V16, P40 8387 BRABBINS CJ, 1993, INT J GERIATR PSYCH, V8, P473 8388 BUYSSE DJ, 1989, PSYCHIAT RES, V28, P193 8389 CABYOGLU MT, 2006, INT J NEUROSCI, V116, P115 8390 CHEN ML, 1999, J GERONTOL, V54, P389 8391 CHILCOTT LA, 1996, PHARMACOECONOMICS S1, V10, P1 8392 COHEN SM, 2003, HOLISTIC NURSING PRA, V17, P295 8393 CUI R, 2003, J TRADITIONAL CHINES, V23, P57 8394 CUMMINGS M, 2003, FOCUS ALTERNATIVE CO, V8, P210 8395 DASILVA JB, 2005, ACUPUNCTURE MED, V23, P47 8396 DUNDAR Y, 2004, HUM PSYCHOPHARM CLIN, V19, P305 8397 EGGER M, 1997, BRIT MED J, V315, P629 8398 FOLEY DJ, 1995, SLEEP, V18, P425 8399 GAO QW, 1997, INT J CLIN ACUPUNCTU, V8, P183 8400 HAJAK G, 2000, SLEEP S3, V23, S54 8401 HIGGINS JPT, 2002, STAT MED, V21, P1539 8402 HIRST A, 2004, COCHRANE DB SYST REV 8403 HODES E, 1973, PSYCHOPHYSIOLOGY, V10, P431 8404 HOLBROOK AM, 2000, CAN MED ASSOC J, V162, P225 8405 JANSEN G, 1989, NEUROSCI LETT, V97, P305 8406 JOHANSSON K, 1993, NEUROLOGY, V43, P2189 8407 JOHNS MW, 1991, SLEEP, V14, P540 8408 JOHNSON LC, 1969, SLEEP PHYSL PATHOLOG, P206 8409 KILEY JP, 1999, SLEEP S2, V22, S344 8410 KIM YS, 2004, AM J CHINESE MED, V32, P771 8411 KRYSTAL AD, 2004, J CLIN PSYCHIAT S8, V65, P20 8412 KUPFER DJ, 1997, NEW ENGL J MED, V336, P341 8413 LEGER D, 2001, PSYCHOSOM MED, V63, P49 8414 LIAN N, 1990, J TRAD CHIN MED, V10, P174 8415 LIN YL, 1995, PSYCHIAT CLIN NEUROS, V49, P119 8416 LIU JH, 2004, NEUROSCI LETT, V356, P99 8417 LU Z, 2002, J TRADITIONAL CHINES, V22, P193 8418 MA SX, 2004, EVID-BASED COMPL ALT, V1, P41 8419 MACIOCIA G, 1989, FDN CHINESE MED COMP 8420 MAGNUSSON M, 1994, STROKE, V25, P1176 8421 MASON S, 2002, BRIT MED J, V325, P832 8422 MIDDLEKAUFF HR, 2004, CLIN AUTONIMIC RES, V12, P113 8423 MILLMAN RP, 1989, J CLIN PSYCHIAT, V50, P348 8424 MOLDOFSKY H, 1976, PSYCHOSOM MED, V38, P35 8425 MOLDOFSKY H, 1989, FASEB J, V3, P1972 8426 MONTGOMERY P, 2004, COCHRANE DB SYST REV 8427 MONTGOMERY P, 2004, COCHRANE DB SYST REV 8428 MORIN AK, 2006, AM J MANAG CARE S, V12, S230 8429 MORIN CM, 1989, SLEEP RES, V18, P272 8430 MORIN CM, 1994, AM J PSYCHIAT, V151, P1172 8431 MURTAGH DRR, 1995, J CONSULT CLIN PSYCH, V63, P78 8432 NOWELL PD, 1997, JAMA-J AM MED ASSOC, V278, P2170 8433 OHAYON MM, 2002, SLEEP MED REV, V6, P97 8434 OZMINKOWSKI RJ, 2007, SLEEP, V30, P263 8435 PATERSON C, 2005, BRIT MED J, V330, P1202 8436 PHILLIPS KD, 2001, J ASSOC NURSE AIDS C, V12, P27 8437 RAMSAY DJ, 1998, JAMA-J AM MED ASSOC, V280, P1518 8438 ROTH T, 2001, INT J CLIN PRACT S, V116, P3 8439 RUAN J, 2001, INT J CLIN ACUPUNCTU, V12, P109 8440 SATEIA MJ, 1998, OXFORD TXB PALLIATIV, P751 8441 SHANG YT, 2000, INT J CLIN ACUPUNCTU, V11, P65 8442 SHEN P, 2004, J TRADITIONAL CHINES, V24, P168 8443 SHI D, 2003, J TRADITIONAL CHINES, V23, P136 8444 SMITH MT, 2002, AM J PSYCHIAT, V159, P5 8445 SPENCE DW, 2004, J NEUROPSYCH CLIN N, V16, P19 8446 STEPANSKI EJ, 2006, SLEEP MED REV, V10, P7 8447 STOLLER MK, 1994, CLIN THER, V16, P873 8448 SUEN LKP, 2002, AM J CHINESE MED, V30, P429 8449 SUEN LKP, 2003, COMPLEMENT THER MED, V11, P85 8450 SUN HL, 2001, CHINESE ACUPUNCTURE, V21, P275 8451 TAYLOR DJ, 2007, SLEEP, V30, P213 8452 THOMAS KJ, 2003, FAM PRACT, V20, P575 8453 TSAY SL, 2003, INT J NURS STUD, V40, P1 8454 TSAY SL, 2003, J ADV NURS, V42, P134 8455 TSAY SL, 2004, AM J CHINESE MED, V32, P407 8456 ULETT GA, 1998, BIOL PSYCHIAT, V44, P129 8457 VANTULDER MW, 2000, COCHRANE DATABASE SY 8458 VICKERS A, 1999, BRIT MED J, V319, P973 8459 VICKERS AJ, 2004, BRIT MED J, V328, P744 8460 WALSH JK, 2004, J CLIN PSYCHIAT S8, V65, P13 8461 WANG F, 2000, INT J CLIN ACUPUNCTU, V11, P69 8462 WANG G, 2001, CHINESE ACUPUNCTURE, V21, P241 8463 WU JN, 1996, J ALTERN COMPLEM MED, V2, P19 8464 XU G, 1997, SHANGHAI J ACUPUNCTU, V16, P10 8465 YAO S, 1999, J TRADITIONAL CHINES, V19, P298 8466 YU GX, 1997, INT J CLIN ACUPUNCTU, V8, P69 8467 ZAMMIT GK, 1999, SLEEP S2, V22, S379 8468 ZARCONE VP, 2000, PRINCIPLES PRACTICE, P657 8469 ZHANG Q, 2002, J TRADITIONAL CHINES, V22, P276 8470 ZHANG Q, 2003, J TRADITIONAL CHINES, V23, P125 8471 ZHDANOVA IV, 2001, J CLIN ENDOCR METAB, V86, P4727 8472 ZOLLMAN C, 1999, BRIT MED J, V319, P836 8473 NR 101 8474 TC 0 8475 PU JOHN WILEY & SONS LTD 8476 PI CHICHESTER 8477 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 8478 SN 1469-493X 8479 J9 COCHRANE DATABASE SYST REV 8480 JI Cochrane Database Syst Rev. 8481 PY 2007 8482 IS 3 8483 AR CD005472 8484 DI ARTN CD005472 8485 PG 41 8486 SC Medicine, General & Internal 8487 GA 191FZ 8488 UT ISI:000248118000056 8489 ER 8490 8491 PT J 8492 AU Sadikov, E 8493 Bezjak, A 8494 Yi, QL 8495 Wells, W 8496 Dawson, L 8497 Millar, BA 8498 Laperriere, N 8499 AF Sadikov, E. 8500 Bezjak, A. 8501 Yi, Q.-L. 8502 Wells, W. 8503 Dawson, L. 8504 Millar, B.-A. 8505 Laperriere, N. 8506 TI Value of whole brain re-irradiation for brain metastases - Single 8507 centre experience 8508 SO CLINICAL ONCOLOGY 8509 LA English 8510 DT Article 8511 DE brain metastases; outcome; retreatment; toxicity; whole brain 8512 radiotherapy 8513 ID CEREBRAL METASTASES; RADIATION-THERAPY; ONCOLOGY-GROUP; SPINAL-CORD; 8514 IRRADIATION; RADIOTHERAPY; MANAGEMENT; TOLERANCE; SURVIVAL 8515 AB Aims: There is controversy in published studies regarding the role of 8516 repeat whole brain radiation (WBRT) for previously irradiated brain 8517 metastases. The aim of our retrospective study was to document the 8518 practice at Princess Margaret Hospital with respect to the 8519 re-irraidiation of patients with progressive or recurrent brain 8520 metastatic disease after initial WBRT. 8521 Materials and methods: A comprehensive computerised database was used 8522 to identify patients treated for brain metastases with more than one 8523 course of WBRT between 1997 and 2003. Seventy-two patients were treated 8524 with WBRT for brain metastases and retreated with WBRT at a later date. 8525 The records of these patients were reviewed. 8526 Results: The median age was 56.5 years. The most common primary sites 8527 were lung (51 patients) and breast (17 patients). The most frequent 8528 dose used for the initial radiotherapy was 20Gy/5 fractions (62 8529 patients). The most common doses of re-irradiation were 25 Gy/10 8530 fractions (22 patients), 20 Gy/10 fractions (12 patients), 8531 15Gy/5fractions (11 patients) and 20 Gy/8 fractions (10 patients). 8532 Thirty-one per cent of patients experienced a partial clinical response 8533 after re-irradiation, as judged by follow-up clinical notes; 27% 8534 remained stable; 32% deteriorated after re-irradiation. Patients who 8535 had Eastern, Cooperative Oncology Group performance status 0-1 at the 8536 time of retreatment lived longer. In responders, the mean duration of 8537 response was 5.1 months. The median survival after re-irradiation was 8538 4.1 months. One patient was reported as having memory impairment and 8539 pituitary insufficiency after 5 months of progression-free survival. 8540 Conclusion: Repeat radiotherapy may be a useful treatment in carefully 8541 selected patients. With increased survival and better systemic. options 8542 for patients with metastatic disease, more patients may be candidates 8543 for consideration of repeat WBRT for recurrent brain metastases, but 8544 prospective studies are needed to more clearly document their outcomes. 8545 C1 Univ Toronto, Princess Margaret Hosp, Dept Radiat Oncol, Toronto, ON M5G 2M9, Canada. 8546 Univ Saskatchewan, Allan Blair Canc Ctr, Dept Radiat Oncol, Regina, SK, Canada. 8547 Princess Margaret Hosp, Dept Biostat, Toronto, ON, Canada. 8548 RP Bezjak, A, Univ Toronto, Princess Margaret Hosp, Dept Radiat Oncol, 5th 8549 Floor,610 Univ Ave, Toronto, ON M5G 2M9, Canada. 8550 EM andrea.beziak@rmp.uhn.on.ca 8551 CR ABDELWAHAB MMR, 1997, AM J CLIN ONCOL-CANC, V20, P158 8552 BEZJAK A, 2001, RADIOTHER ONCOL, V61, P71 8553 BORGELT B, 1980, INT J RADIAT ONCOL, V6, P1 8554 COIA LR, 1992, INT J RADIAT ONCOL, V23, P223 8555 COOPER JS, 1990, RADIOLOGY, V174, P883 8556 DIENERWEST M, 1989, INT J RADIAT ONCOL, V16, P669 8557 DRITSCHILO A, 1981, BRIT J RADIOL, V54, P782 8558 GERRARD G, 2003, CLIN ONCOL, V17, P422 8559 HAZUKA MB, 1988, INT J RADIAT ONCOL, V15, P433 8560 HOCHT S, 1999, FRONT RADIAT THER ON, V33, P327 8561 HOSKIN PJ, 1990, INT J RADIAT ONCOL, V19, P111 8562 HOSKIN PJ, 2001, CLIN ONCOL-UK, V13, P91 8563 HOSKIN PJ, 2003, CLIN ONCOL-UK, V15, P420 8564 IMANAKA K, 1998, RAD MED, V16, P153 8565 KAPLAN EL, 1958, J AM STAT ASSOC, V53, P457 8566 KURUP P, 1980, CANCER, V46, P2587 8567 MILLAR BM, 2004, CLIN ONCOL-UK, V16, P339 8568 NIEDER C, 2006, INT J RADIAT ONCOL, V66, P1446 8569 OKEN MM, 1982, AM J CLIN ONCOL-CANC, V5, P649 8570 ORDER SE, 1968, RADIOLOGY, V91, P149 8571 PATCHELL R, 1997, HDB NEUROL, V25, P135 8572 POSNER JB, 1978, ADV NEUROL, V19, P579 8573 SCHULTHEISS TE, 1995, INT J RADIAT ONCOL, V31, P1093 8574 SHEHATA WM, 1974, CANCER, V34, P257 8575 TSAO MN, 2006, COCHRANE DB SYST REV, V3 8576 VENINGA T, 2001, RADIOTHER ONCOL, V59, P127 8577 WEN PY, 2000, CURR TREAT OPTIONS O, V1, P447 8578 WONG CS, 1997, INT J RADIAT ONCOL, V37, P171 8579 WONG WW, 1996, INT J RADIAT ONCOL, V34, P585 8580 NR 29 8581 TC 0 8582 PU ELSEVIER SCIENCE LONDON 8583 PI LONDON 8584 PA 84 THEOBALDS RD, LONDON WC1X 8RR, ENGLAND 8585 SN 0936-6555 8586 J9 CLIN ONCOL-UK 8587 JI Clin. Oncol. 8588 PD SEP 8589 PY 2007 8590 VL 19 8591 IS 7 8592 BP 532 8593 EP 538 8594 PG 7 8595 SC Oncology 8596 GA 207DJ 8597 UT ISI:000249231500010 8598 ER 8599 8600 PT J 8601 AU Le Moal, E 8602 Giuliani, I 8603 Bertinchant, JP 8604 Polge, A 8605 Larue, C 8606 Villard-Saussine, S 8607 AF Le Moal, Estelle 8608 Giuliani, Isabelle 8609 Bertinchant, Jean-Pierre 8610 Polge, Anne 8611 Larue, Catherine 8612 Villard-Saussine, Sylvie 8613 TI Earlier detection of myocardial infarction by an improved cardiac TnI 8614 assay 8615 SO CLINICAL BIOCHEMISTRY 8616 LA English 8617 DT Article 8618 DE acute coronary syndrome; early diagnosis; immunoassay; troponin I 8619 ID TROPONIN-I ASSAYS; CLINICAL-PERFORMANCE; UNSTABLE ANGINA; DEGRADATION; 8620 GUIDELINES; SERUM; MANAGEMENT; EMERGENCY; COMMITTEE; ANTIBODY 8621 AB Objectives: The aim of this study was to establish the diagnostic 8622 sensitivity of combinations of well-selected monoclonal antibodies 8623 (mAbs) against cardiac troponin I (cTnl) to allow an earlier rule-in of 8624 acute coronary syndrome (ACS) patients. 8625 Design and methods: Using several combinations of mAbs, four new 8626 experimental cTnI immunoassays were evaluated to analyze plasma samples 8627 from 62 patients suffering from angina (16/62), patients having a chest 8628 pain of extracardiovascular origin (19/62) and ACS without ST elevation 8629 (NSTE-ACS) (27/62). 8630 Results: Assay 2, which relies on a capture mAb directed against the 8631 central part of cTnI and two conjugated mAbs directed against the N-ter 8632 region, provided the best clinical sensitivity. In 11 out of 27 8633 patients with NSTE-ACS, it detected an early rise of cTnI within 0 and 8634 I h upon admission, contributing to the detection of 53% of samples 8635 found to be negative by the reference AccuTnI Assay upon admission 8636 (Beckman Coulter), thereby reducing the delay in diagnosis. 8637 Conclusions: Assay 2 can identify early cTnI elevation in NSTE-ACS, 8638 possibly facilitating the rule-in procedure for these patients once the 8639 assay is automated. (c) 2007 The Canadian Society of Clinical Chemists. 8640 Published by Elsevier Inc. All rights reserved. 8641 C1 CNRS, Fac Pharm, UMR 5160, F-34093 Montpellier 5, France. 8642 Bio Rad, F-92430 Marnes La Coquette, France. 8643 CHU Nimes, Serv Cardiol, F-30006 Nimes, France. 8644 CHU Nimes, Biochim Lab, F-30006 Nimes, France. 8645 RP Villard-Saussine, S, CNRS, Fac Pharm, UMR 5160, BP 14491,15 Ave Charles 8646 Flahault, F-34093 Montpellier 5, France. 8647 EM sylvie.villard@cpbs.univ-montp1.fr 8648 CR ADAMS JE, 1994, CLIN CHEM, V40, P1291 8649 ALPERT JS, 2000, EUR HEART J, V21, P1502 8650 BABUIN L, 2005, CAN MED ASSOC J, V173, P1191 8651 BLEIER J, 1998, CLIN CHEM, V44, P1912 8652 BRAUNWALD E, 2000, J AM COLL CARDIOL, V36, P970 8653 BRAUNWALD E, 2002, CIRCULATION, V106, P1893 8654 COLLINSON PO, 2001, ANN CLIN BIOCHEM 5, V38, P423 8655 ERIKSSON S, 2003, CLIN CHEM, V49, P1095 8656 GIBLER WB, 1992, ANN EMERG MED, V21, P504 8657 GIBLER WB, 2005, CIRCULATION, V111, P2699 8658 GIULIANI I, 1999, CLIN CHEM, V45, P213 8659 JAMES S, 2006, CLIN CHEM, V52, P832 8660 KATRUKHA A, 2003, CARDIAC MARKERS, P173 8661 KATRUKHA AG, 1997, CLIN CHEM 1, V43, P1379 8662 KATRUKHA AG, 1998, CLIN CHEM, V44, P2433 8663 KLEIMAN NS, 2005, HEART, V91, P1121 8664 MORJANA NA, 1998, BIOTECHNOL APPL BI 2, V28, P105 8665 NAKANE PK, 1974, J HISTOCHEM CYTOCHEM, V22, P1084 8666 OH SK, 2000, CLIN BIOCHEM, V33, P255 8667 PANTEGHINI M, 2002, CHEST, V122, P1428 8668 PANTEGHINI M, 2004, CLIN CHEM, V50, P327 8669 SHI QW, 1999, CLIN CHEM, V45, P1018 8670 VENGE P, 2002, AM J CARDIOL, V89, P1035 8671 WU AHB, 1998, CLIN CHEM 1, V44, P1198 8672 NR 24 8673 TC 0 8674 PU PERGAMON-ELSEVIER SCIENCE LTD 8675 PI OXFORD 8676 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 8677 SN 0009-9120 8678 J9 CLIN BIOCHEM 8679 JI Clin. Biochem. 8680 PD SEP 8681 PY 2007 8682 VL 40 8683 IS 13-14 8684 BP 1065 8685 EP 1073 8686 PG 9 8687 SC Medical Laboratory Technology 8688 GA 209XV 8689 UT ISI:000249422200024 8690 ER 8691 8692 PT J 8693 AU Alexander, GL 8694 Rantz, M 8695 Flesner, M 8696 Diekemper, M 8697 Siem, C 8698 AF Alexander, Gregory L. 8699 Rantz, Marilyn 8700 Flesner, Marcia 8701 Diekemper, Margie 8702 Siem, Carol 8703 TI Clinical information systems in nursing homes - An evaluation of 8704 initial implementation strategies 8705 SO CIN-COMPUTERS INFORMATICS NURSING 8706 LA English 8707 DT Article 8708 ID DECISION-SUPPORT; MEDICAL DEVICES; TECHNOLOGY; CARE; DESIGN; PERFORMANCE 8709 AB This article presents qualitative results collected 6 months after 8710 implementation of a clinical information system in four nursing homes 8711 in the Midwestern USA, Researchers explored initial implementation 8712 strategies, discussed employee experiences and analyzed employee 8713 satisfaction. Transcript-based analysis and axial coding were completed 8714 to illustrate recurring phenomena. Common attributes were identified by 8715 two gerontological nurse experts and a researcher with human factors 8716 expertise. Common themes emerging from 22 focus groups and direct 8717 observation of more than 120 nursing home staff were perception and 8718 cognition, change, workable systems, competence, and connectedness. 8719 Implementation strategies associated with lower satisfaction were 8720 availability of equipment, training resources, and the presence of 8721 information technology professionals. Initial clinical information 8722 system implementation strategies and employee satisfaction could be 8723 enhanced by the inclusion of a system life cycle charter plan, 8724 emphasizing change management procedures, improving start-up 8725 projections, hiring adequately trained information technology staff, 8726 and providing a system support plan. Findings will be useful to 8727 administrators and policy makers who are contemplating implementation 8728 of a clinical information system. 8729 C1 Univ Missouri, Sinclair Sch Nursing S415, Columbia, MO 65211 USA. 8730 RP Alexander, GL, Univ Missouri, Sinclair Sch Nursing S415, Columbia, MO 8731 65211 USA. 8732 CR *AHIMA, 2005, LONG TERM CAR HLTH I 8733 *I MED, 2001, CROSS QUAL CHASM NEW 8734 *I MED, 2001, IMP QUAL LONG TERM C 8735 *I MED, 2003, KEY CAP EL HLTH REC 8736 ALEXANDER GL, 2004, P MEDINFO 8737 AYDIN CE, 1992, J HEALTH SOC BEHAV, V33, P168 8738 BLALOCKCRAIG J, 2002, HLTH CARE INFORM INT, P181 8739 BRESLIN S, 2004, CIN-COMPUT INFORM NU, V22, P275 8740 CHRISTENSEN JM, 1976, P 6 C INT ERG ASS JU, R25 8741 COOK RI, 1996, HUM FACTORS, V38, P593 8742 CZAJA SJ, 1997, HDB HUMAN FACTORS ER, P17 8743 DOUGLAS M, 2002, HLTH CARE INFORM INT, P161 8744 FERRIS N, LONG TERM LAGS HLTH 8745 FISHER C, 1998, PROVIDER, P26 8746 GARG AX, 2005, JAMA-J AM MED ASSOC, V293, P1223 8747 GRABOWSKI M, 2003, INT J HUM-COMPUT ST, V58, P637 8748 HASLER RA, 1996, J INTRAVEN NURS, V19, S5 8749 HELANDER MG, 1997, HDB HUMAN FACTORS ER, P3 8750 HUNT E, 2004, NURSING INFORM IMPLE 8751 JOHNS ML, 1996, HLTH INFORM MANAGEME, P623 8752 KARWOWSKI W, 2006, HDB HUMAN FACTORS ER, P3 8753 KAWAMOTO K, 2005, BR MED J, V330 8754 KRUEGER RA, 1994, FOCUS GROUPS PRACTIC 8755 MCALEARNEY AS, 2005, LONG TERM CARE INTER, P36 8756 MCCORMICK EJ, 1982, HUMAN FACTORS ENG DE 8757 MEISTER D, 1989, CONCEPTUAL ASPECTS H 8758 MILITELLO LG, 1998, BIOMED INSTRUM TECHN, V32, P535 8759 NEMETH CP, 2004, HUMAN FACTORS METHOD 8760 OBRADOVICH JH, 1996, HUM FACTORS, V38, P574 8761 OZBOLT JG, 1993, NIH PUBLICATION 8762 POLIT DF, 2004, NURSING RES PRINCIPL, P375 8763 ROCHON PA, 2005, J AM GERIATR SOC, V53, P1780 8764 SALVENDY G, 1997, HDB HUMAN FACTORS HU 8765 SAWYER D, DO IT DESIGN INTRO H 8766 WEINGER MB, 1998, JAMA-J AM MED ASSOC, V280, P1484 8767 ZHENG K, 2005, INT J MED INFORM, V74, P535 8768 NR 36 8769 TC 0 8770 PU LIPPINCOTT WILLIAMS & WILKINS 8771 PI PHILADELPHIA 8772 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 8773 SN 1538-2931 8774 J9 CIN-COMPUT INFORM NURS 8775 JI CIN-Comput. Inform. Nurs. 8776 PD JUL-AUG 8777 PY 2007 8778 VL 25 8779 IS 4 8780 BP 189 8781 EP 197 8782 PG 9 8783 SC Computer Science, Interdisciplinary Applications; Medical Informatics; 8784 Nursing 8785 GA 190ZP 8786 UT ISI:000248099800002 8787 ER 8788 8789 PT J 8790 AU Hess, D 8791 AF Hess, David 8792 TI Social reporting and new governance regulation: The prospects of 8793 achieving corporate accountability through transparency 8794 SO BUSINESS ETHICS QUARTERLY 8795 LA English 8796 DT Article 8797 ID TOXICS RELEASE INVENTORY; ENVIRONMENTAL-REGULATION; INFORMATION 8798 DISCLOSURE; LEGAL THOUGHT; PERFORMANCE; INCENTIVES; PROTECTION; 8799 MANAGEMENT; POLLUTION; STATE 8800 AB This paper argues that social reporting can be an important form of New 8801 Governance regulation to achieve stakeholder accountability. Current 8802 social reporting practices, however, fall short of achieving 8803 stakeholder accountability and actually may work against it. By 8804 examining the success and failures of other transparency programs in 8805 the United States, we can identify key factors for ensuring the success 8806 of social reporting over the long term. These factors include 8807 increasing the benefits-to-costs ratios of both the users of the 8808 information and the disclosers, and recognizing the importance of the 8809 involvement of third-party intermediaries. 8810 C1 Univ Michigan, Ross Sch Business, Ann Arbor, MI 48109 USA. 8811 RP Hess, D, Univ Michigan, Ross Sch Business, Ann Arbor, MI 48109 USA. 8812 CR 2004, ENTERPRISE POUR ENV 8813 *CAL STAT TREAS, 2005, CAL STAT TREAS PHIL 8814 *EPA, 2003, EPA260R002004 8815 *GAP INC, 2004, 2003 SOC RESP 8816 *GLOB REP IN, 2002, SUST REP GUID 8817 *GLOB REP IN, 2006, SUST REP GUID 8818 *PRICEWATERHOUSECO, 2005, UND PRESS UT GLOB SU 8819 AALDERS M, 1997, LAW POLICY, V19, P415 8820 ADAMS CA, 2004, ACCOUNTING AUDITING, V17, P731 8821 AYRES, 1992, RESPONSIVE REGULATIO 8822 BADRINATH SG, 1996, J REGUL ECON, V10, P165 8823 BALL A, 2000, BUSINESS STRATEGY EN, V9, P1 8824 BERTHELOT, 2003, J ACCOUNTING LITERAT, V22, P1 8825 BUI LTM, 2003, REV ECON STAT, V85, P693 8826 COGLIANESE C, 2003, LAW SOC REV, V37, P691 8827 COHEN MA, 2001, ENV L REP, V31, P10425 8828 CUMMING JF, 2001, BUSINESS ETHICS EURO, V10, P45 8829 DEEGAN C, 1996, ACCOUNTING AUDITING, V9, P50 8830 DEEGAN C, 2000, ACCOUNTING FORUM, V24, P101 8831 DEEGAN C, 2002, ACCOUNTING AUDITING, V15, P282 8832 DEEGAN C, 2002, ACCOUNTING AUDITING, V15, P312 8833 DHOOGE LJ, 2004, ARIZONA J INT COMPAR, V21, P441 8834 DORF MC, 1998, COLUMBIA LAW REV, V98, P267 8835 FREEMAN J, 1997, UCLA LAW REV, V45, P1 8836 FUNG A, 2000, ENVIRON MANAGE, V25, P115 8837 FUNG A, 2002, OPS0203 HARV U I GOV 8838 FUNG A, 2003, DEEPENING DEMOCRACY 8839 FUNG A, 2004, OP0304 HARV U ASH I 8840 GARRETT BL, 2004, YALE L POLY REV, V22, P261 8841 GRAY R, 2001, BUSINESS ETHICS EURO, V10, P9 8842 GUNNINGHAM N, 1997, LAW POLY, V19, P363 8843 GUNNINGHAM N, 2004, LAW SOCIAL INQUIRY, V29, P307 8844 HAMILTON JT, 1995, J ENVIRON ECON MANAG, V28, P98 8845 HARRISON K, 2003, J POLICY ANAL MANAG, V22, P361 8846 HESS D, 1999, J CORP L, V25, P41 8847 HESS D, 2001, BUS ETHICS Q, V11, P307 8848 HESS D, 2006, CORPORATE SOCIAL RES, P154 8849 HESS D, 2007, BUSINESS ETHICS Q, V17, P5 8850 HOOGHIEMSTRA R, 2000, J BUS ETHICS, V27, P55 8851 KAHNEMAN D, 2000, CHOICES VALUES FRAME 8852 KARKKAINEN BC, 2000, AM BEHAV SCI, V44, P692 8853 KARKKAINEN BC, 2001, GEORGETOWN LAW J, V89, P257 8854 KARKKAINEN BC, 2004, MINN LAW REV, V89, P471 8855 KHANNA M, 1998, J ENVIRON ECON MANAG, V36, P243 8856 KINGDON JW, 1995, AGENDAS ALTERNATIVES 8857 KONAR S, 1997, J ENVIRON ECON MANAG, V32, P109 8858 KONAR S, 2001, REV ECON STAT, V83, P281 8859 LATHAM M, 2003, CORP GOV, V11, P91 8860 LAUFER WS, 1999, VANDERBILT LAW REV, V52, P1343 8861 LOBEL O, 2004, MINN LAW REV, V89, P342 8862 MALLOY TF, 2003, TEMP L REV, V76, P451 8863 MAY PJ, 2004, LAW SOC REV, V38, P41 8864 ODONOVAN G, 2002, ACCOUNTING AUDITING, V15, P344 8865 ORTS EW, 1995, BUSINESS ETHICS Q, V5, P779 8866 ORTS EW, 1995, NORTHWEST U LAW REV, V89, P1227 8867 OWEN DL, 2000, EUROPEAN ACCOUNTING, V9, P81 8868 OWEN DL, 2001, ACCOUNTING FORUM, V25, P264 8869 PARKER C, 2002, OPEN CORPORATION EFF 8870 PEDERSEN WF, 2001, HARVARD ENVIRON LAW, V25, P151 8871 ROGER C, 2004, FINANCIAL TIMES 1129, P6 8872 ROGOWSKI R, 1994, REFLEXIVE LABOUR LAW 8873 RUHNKA JC, 1998, J BUS ETHICS, V17, P309 8874 SAGE WM, 1999, COLUMBIA LAW REV, V99, P1701 8875 SEIDENFELD M, 2000, WM MARY L REV, V41, P411 8876 SINCLAIR D, 1997, LAW POLICY, V19, P529 8877 STEPHAN M, 2002, SOC SCI QUART, V83, P190 8878 STURM S, 2001, COLUMBIA LAW REV, V101, P458 8879 SUNSTEIN CR, 1990, U CHICAGO LAW REV, V57, P407 8880 SWIFT T, 2001, BUSINESS ETHICS EURO, V10, P16 8881 VOLOKH A, 2002, UTAH L REV, V2, P805 8882 WALDEN WD, 1997, J ACCOUNTING PUBLIC, V16, P115 8883 NR 71 8884 TC 0 8885 PU PHILOSOPHY DOCUMENTATION CENTER 8886 PI CHARLOTTESVILLE 8887 PA PO BOX 7147, CHARLOTTESVILLE, VA 22906-7147 USA 8888 SN 1052-150X 8889 J9 BUS ETHICS Q 8890 JI Bus. Ethics Q. 8891 PD JUL 8892 PY 2007 8893 VL 17 8894 IS 3 8895 BP 453 8896 EP 476 8897 PG 24 8898 SC Business; Ethics 8899 GA 190NP 8900 UT ISI:000248066100007 8901 ER 8902 8903 PT J 8904 AU Zhao, H 8905 Mainster, MA 8906 AF Zhao, Huawei 8907 Mainster, Martin A. 8908 TI The effect of chromatic dispersion on pseudophakic optical performance 8909 SO BRITISH JOURNAL OF OPHTHALMOLOGY 8910 LA English 8911 DT Article 8912 ID YELLOW INTRAOCULAR-LENS; CONTRAST SENSITIVITY; ABERRATION; VISION; 8913 LIGHT; EYES 8914 AB Aim: Monochromatic and chromatic aberrations limit the visual 8915 performance of pseudophakic eyes. Chromatic aberration is caused by the 8916 chromatic dispersion of optical materials which can be characterised by 8917 their Abbe numbers. This study examines how chromatic dispersion 8918 affects pseudophakic optical performance at different wavelengths and 8919 spatial frequencies. 8920 Methods: Abbe numbers were measured for acrylic and silicone 8921 intraocular lenses (IOLs). A schematic eye model based on cataract 8922 population data was used to compute monochromatic and photopic 8923 polychromatic modulation transfer functions (MTFs) for pseudophakic 8924 eyes with aspheric IOLs. IOL Abbe numbers were varied without changing 8925 other eye model parameters to determine how chromatic dispersion 8926 affects pseudophakic MTF and chromatic difference of refraction. 8927 Additional calculations were performed for ( 1) acrylic or silicone 8928 materials and ( 2) high-pass optical filters blocking either UV 8929 radiation or UV radiation and short wavelength visible light. 8930 Results: Shorter wavelengths account for approximately two thirds of 8931 pseudophakic chromatic difference of refraction or longitudinal 8932 chromatic aberration. Increasing Abbe number ( reducing chromatic 8933 dispersion) decreases total chromatic difference of refraction and 8934 increases photopic polychromatic MTF. For a specific spatial frequency, 8935 there is an effective pseudophakic depth of wavelength over which a 8936 particular MTF level is achieved or exceeded. Depth of wavelength 8937 narrows with decreasing Abbe number or increasing spatial frequency. 8938 Blue-blocking IOL chromophores improve photopic MTF performance by less 8939 than 1.5%. 8940 Conclusions: Most pseudophakic longitudinal chromatic aberration arises 8941 from the chromatic dispersion of IOLs rather than the cornea and other 8942 ocular media. Increasing the Abbe number of optic materials improves 8943 overall pseudophakic optical performance. Optical transmission of 8944 medium and high spatial frequency modulation information has a spectrum 8945 similar to photopic luminous efficiency, accounting for the inability 8946 of blue-blocking chromophores to improve photopic pseudophakic contrast 8947 sensitivity significantly and demonstrating the excellent mutual 8948 adaptation of modulation transfer by the eye's optics and management of 8949 that data by the retina and brain. 8950 C1 Univ Kansas, Sch Med, Kansas City, KS 66208 USA. 8951 Adv Med Opt Inc, Santa Ana, CA USA. 8952 RP Mainster, MA, Univ Kansas, Sch Med, 7400 State Line Rd,Prairie Village, 8953 Kansas City, KS 66208 USA. 8954 EM mmainste@kumc.edu 8955 CR ATCHISON DA, 2000, OPTICS HUMAN EYE 8956 ATCHISON DA, 2005, J OPT SOC AM A, V22, P29 8957 ATCHISON DA, 2006, VISION RES, V46, P2239 8958 BRADLEY A, 1992, OPTOMETRY VISION SCI, V69, P515 8959 CAMPBELL FW, 1965, J PHYSIOL-LONDON, V181, P576 8960 FRANCHINI A, 2006, J CATARACT REFR SURG, V32, P1307 8961 GINSBURG AP, 2003, INT OPHTHALMOL CLIN, V43, P5 8962 GRISWOLD MS, 1992, VISION RES, V32, P1739 8963 HAYASHI K, 2006, BRIT J OPHTHALMOL, V90, P1019 8964 HOLLADAY JT, 2002, J REFRACT SURG, V18, P683 8965 LEIBOVITCH I, 2006, ACTA OPHTHALMOL SCAN, V84, P95 8966 LIOU HL, 1997, J OPT SOC AM A, V14, P1684 8967 MAINSTER MA, 1978, SURV OPHTHALMOL, V23, P135 8968 MAINSTER MA, 2006, BRIT J OPHTHALMOL, V90, P784 8969 MARIMONT DH, 1994, J OPT SOC AM A, V11, P3113 8970 MARSHALL J, 2005, J CATARACT REFR SURG, V31, P2319 8971 MOUROULIS P, 1999, VISUAL INSTRUMENTATI, P27 8972 NAGATA T, 1999, NIPPON GANKA GAKKAI, V103, P237 8973 NEGISHI K, 2001, ARCH OPHTHALMOL-CHIC, V119, P1154 8974 PIERS PA, 2004, OPT LETT, V29, P733 8975 RODRIGUEZGALIETERO A, 2005, J CATARACT REFR SURG, V31, P1736 8976 SMITH G, 1996, EYE VISION OPTICAL I 8977 THIBOS LN, 1991, OPTOMETRY VISION SCI, V68, P599 8978 THIBOS LN, 1993, OPTOMETRY VISION SCI, V70, P279 8979 THIBOS LN, 2004, J VISION, V4, P329 8980 VANMEETEREN A, 1974, OPT ACTA, V21, P395 8981 WILLIAMS CS, 1989, INTRODUCTION OPTICAL 8982 WYSZECKI G, 1982, COLOR SCIENCE 8983 NR 28 8984 TC 0 8985 PU B M J PUBLISHING GROUP 8986 PI LONDON 8987 PA BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND 8988 SN 0007-1161 8989 J9 BRIT J OPHTHALMOL 8990 JI Br. J. Ophthalmol. 8991 PD SEP 8992 PY 2007 8993 VL 91 8994 IS 9 8995 BP 1225 8996 EP 1229 8997 PG 5 8998 SC Ophthalmology 8999 GA 202EN 9000 UT ISI:000248884900035 9001 ER 9002 9003 PT J 9004 AU Kharfan-Dabaja, MA 9005 Abou Mourad, YR 9006 Fernandez, HF 9007 Pasquini, MC 9008 Santos, ES 9009 AF Kharfan-Dabaja, Mohamed A. 9010 Abou Mourad, Yasser R. 9011 Fernandez, Hugo F. 9012 Pasquini, Marcelo C. 9013 Santos, Edgardo S. 9014 TI Hematopoietic cell transplantation in acute promyelocytic leukemia: A 9015 comprehensive review 9016 SO BIOLOGY OF BLOOD AND MARROW TRANSPLANTATION 9017 LA English 9018 DT Review 9019 DE acute promyelocytic leukemia; allogeneic hematopoietic cell 9020 transplantation; all-trans retinoic acid; arsenic trioxide; autologous 9021 hematopoietic cell transplantation 9022 ID TRANS-RETINOIC ACID; BONE-MARROW-TRANSPLANTATION; ACUTE MYELOGENOUS 9023 LEUKEMIA; POLYMERASE-CHAIN-REACTION; MINIMAL RESIDUAL DISEASE; 9024 MYELODYSPLASTIC SYNDROME; ARSENIC TRIOXIDE; MOLECULAR REMISSION; 9025 SUCCESSFUL THERAPY; CHEMOTHERAPY 9026 AB The past three decades have brought major therapeutic advances in the 9027 management of acute promyelocytic leukemia. The current 9028 state-of-the-art induction treatment with all-trans retinoic acid in 9029 combination with anthracycline-based chemotherapy results in 9030 long-lasting remissions and cure in up to 70% of newly diagnosed 9031 patients. Unfortunately, treatment failure still occurs in one-third of 9032 patients. When disease relapses, patients can achieve subsequent 9033 remissions with arsenic trioxide, all-trans retinoic acid with or 9034 without chemotherapy, or other therapies. Patients achieving molecular 9035 remissions after salvage therapy are generally considered candidates 9036 for high-dose chemotherapy and autologous hematopoietic cell 9037 transplantation as a postconsolidation strategy. On the other hand, 9038 patients with evidence of persistent hematologic or molecular disease 9039 after salvage therapy could be offered allogeneic hematopoietic 9040 transplantation if a suitable HLA-donor is identified and the patient's 9041 overall performance and clinical condition are permissible. We hereby 9042 provide a comprehensive review and analysis of published clinical 9043 trials that evaluate the role of hematopoietic cell transplantation 9044 across different stages of acute promyelocytic leukemia. (c) 2007 9045 American Society for Blood and Marrow Transplantation 9046 C1 Univ S Florida, H Lee Moffitt Canc Ctr, Res Inst, Dept Interdisciplinary Oncol,Div Blood & Marrow T, Tampa, FL 33620 USA. 9047 Vancouver Gen Hosp, Div Hematol, Leukemia & Bone Marrow Transplantat Program BC, Vancouver, BC, Canada. 9048 Med Coll Wisconsin, Div Neoplast Dis & Related Disorders, Milwaukee, WI 53226 USA. 9049 Tulane Univ, Sch Med, Tulane Canc Ctr, Div Hematol Oncol, New Orleans, LA 70118 USA. 9050 RP Kharfan-Dabaja, MA, Univ S Florida, H Lee Moffitt Canc Ctr, Div Blood & 9051 Marrow Transplantat, 12902 Magnolia Dr, Tampa, FL 33612 USA. 9052 EM Karfama@moffitt.usf.edu 9053 CR ASOU N, 2006, BLOOD 1, V108, A569 9054 ATHANASIADOU A, 2002, LEUKEMIA LYMPHOMA, V43, P2409 9055 AVVISATI G, 2003, BLOOD S, V102, P142 9056 BARBUI T, 1998, BLOOD, V91, P3093 9057 BSEISO AW, 1997, LEUKEMIA, V11, P168 9058 BURGEOIS E, 2003, BLOOD, V102, P140 9059 BURNETT AK, 1999, BLOOD, V93, P4131 9060 CAPRIA S, 2005, BONE MARROW TRANSPL, V36, P83 9061 CASTAIGNE S, 1990, BLOOD, V76, P1704 9062 DEBOTTON S, 2005, J CLIN ONCOL, V23, P120 9063 DEBOTTON S, 2006, LEUKEMIA, V20, P35 9064 DOUER D, 2003, ONCOLOGIST, V8, P132 9065 FENAUX P, 1993, BLOOD, V82, P3241 9066 FENAUX P, 2000, LEUKEMIA, V14, P1371 9067 FERRANT A, 1997, BLOOD, V90, P2931 9068 FERRARA F, 2004, HAEMATOLOGICA, V89, P621 9069 GALIMBERTI S, 1999, BONE MARROW TRANSPL, V24, P345 9070 GARCIAMANERO G, 2002, LEUKEMIA, V16, P1888 9071 GRIMWADE D, 1998, BRIT J HAEMATOL, V103, P559 9072 GUIDEZ F, 1994, LEUKEMIA, V8, P312 9073 HUANG ME, 1988, BLOOD, V72, P567 9074 LATAGLIATA R, 2002, BLOOD, V99, P822 9075 LEONI F, 2002, HAEMATOLOGICA, V87, P485 9076 LICHT JD, 1995, BLOOD, V85, P1083 9077 LOBE I, 2003, LEUKEMIA, V17, P1600 9078 LOCOCO F, 1999, BLOOD, V94, P2225 9079 LOCOCO F, 2003, LEUKEMIA, V17, P1930 9080 MANDELLI F, 1994, BONE MARROW TRANSPL, V14, P293 9081 MELONI G, 1997, BLOOD, V90, P1321 9082 NABHAN C, 2001, BONE MARROW TRANSPL, V28, P219 9083 OTTAVIANI E, 1998, HAEMATOLOGICA, V83, P1051 9084 POWELL BL, 2006, BLOOD 1, V108, A171 9085 ROMAN J, 1997, BONE MARROW TRANSPL, V19, P679 9086 SANZ M, 2000, BLOOD, V96, P522 9087 SANZ MA, 2000, BLOOD, V96, P1247 9088 SANZ MA, 2004, BLOOD, V103, P1237 9089 SHEN ZX, 1997, BLOOD, V89, P3354 9090 SOIGNET SL, 1998, NEW ENGL J MED, V339, P1341 9091 SOIGNET SL, 2001, J CLIN ONCOL, V19, P3852 9092 STONE RM, 1990, J CLIN ONCOL, V8, P1913 9093 TAKATSUKI H, 1995, LEUKEMIA, V9, P889 9094 TALLMAN MS, 1997, NEW ENGL J MED, V337, P1021 9095 TALLMAN MS, 2002, BLOOD, V100, P4298 9096 THOMAS X, 2000, LEUKEMIA, V14, P1006 9097 THOMAS X, 2005, BLOOD, V106 9098 WARRELL RP, 1993, NEW ENGL J MED, V329, P177 9099 ZOMPI S, 2000, BRIT J HAEMATOL, V110, P610 9100 NR 47 9101 TC 0 9102 PU ELSEVIER SCIENCE INC 9103 PI NEW YORK 9104 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 9105 SN 1083-8791 9106 J9 BIOL BLOOD MARROW TRANSPLANT 9107 JI Biol. Blood Marrow Transplant. 9108 PD SEP 9109 PY 2007 9110 VL 13 9111 IS 9 9112 BP 997 9113 EP 1004 9114 PG 8 9115 SC Hematology; Immunology; Transplantation 9116 GA 205YX 9117 UT ISI:000249152200001 9118 ER 9119 9120 PT J 9121 AU Bartolo, P 9122 AF Bartolo, Paulo 9123 TI Laser micromachining for mould manufacturing: II. Manufacture and 9124 testing of mould inserts 9125 SO ASSEMBLY AUTOMATION 9126 LA English 9127 DT Article 9128 DE process management; material-removal processes; lasers 9129 ID GENERATION 9130 AB Purpose - Laser milling is a non-conventional layer-by-layer material 9131 removal technology suitable for machining a wide range of materials. 9132 This technology is particularly suitable to produce microstructures 9133 inside cavities, also obtained by other conventional processes, though 9134 with larger material removal rates, or for the direct development of 9135 microcavities not requiring high removal rates. This paper seeks to 9136 evaluate the capacity of laser milling for manufacturing of mould 9137 inserts. 9138 Design/methodology/approach - The paper examined several specific 9139 features of laser milling, important for the manufacturing of mould 9140 inserts, such as walls verticality, unselected illuminating areas, due 9141 to an incorrect STL removal volume definition, aspiration process and 9142 orientation, to prevent welding of re-solidified particles on the 9143 surface. Two mould inserts were produced too, assembled on a metallic 9144 mould frame and tested with different injection conditions. 9145 Findings - The findings suggest that laser milling is a suitable 9146 technology to produce small mould insert for injection moulding, though 9147 injection conditions are different as one moves from macroscopic to 9148 microscopic injected parts. New design guidelines must be undertaken 9149 jointly with the assessment of laser milling performance to make mould 9150 microcavities. One of the major difficulties of this process is to keep 9151 the side walls vertical plus the generation of undesirable machined 9152 volumes, due to unselected illuminating areas below the STL volume, 9153 corresponding to the volume to be removed, whenever laser milling is 9154 used to operate with structures previously machined. To prevent welding 9155 of re-solidified particles on the surface a proper aspiration must also 9156 be considered. 9157 Originality/value - The paper describes the benefits of laser milling 9158 technology. 9159 RP Bartolo, P, Polytech Inst Leiria, Inst Polymer Composites, Leiria, 9160 Portugal. 9161 EM pbartolo@estg.ipleiria.pt 9162 CR ALVES NF, 2006, AUTOMATION CONSTRUCT, V15 9163 ALVES NF, 2006, THESIS I SUPERIOR TE 9164 CHEN YH, 1999, INT J ADV MANUF TECH, V15, P127 9165 HARRISON PM, 2005, P 3 INT WLT C LAS MA 9166 HIMMER T, 2003, RAPID PROTOTYPING J, V9, P24 9167 PAGE D, 2005, ASSEMBLY AUTOM, V25, P230 9168 PHAM DT, 2005, CUIMRC WORKING PAPER 9169 SALEH BE, 1991, WILEY SERIES PURE AP 9170 VASCO J, 2005, VIRTUAL MODELING RAP, P483 9171 VASCO J, 2006, ASSEMBLY AUTOMATON, V26, P227 9172 VASCO J, 2006, THESIS U MINHO BRAGA 9173 NR 11 9174 TC 0 9175 PU EMERALD GROUP PUBLISHING LIMITED 9176 PI BRADFORD 9177 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 9178 SN 0144-5154 9179 J9 ASSEMBLY AUTOMATION 9180 JI Assem. Autom. 9181 PY 2007 9182 VL 27 9183 IS 3 9184 BP 231 9185 EP 239 9186 PG 9 9187 SC Automation & Control Systems; Engineering, Manufacturing 9188 GA 205VY 9189 UT ISI:000249143900013 9190 ER 9191 9192 PT J 9193 AU Song, L 9194 Li, XX 9195 Clarke, S 9196 Wang, T 9197 Bott, K 9198 AF Song, Liang 9199 Li, Xiaoxu 9200 Clarke, Steven 9201 Wang, Ting 9202 Bott, Kriston 9203 TI The effect of size on the response of Pacific oysters (Crassostrea 9204 gigas) to changes in water temperature and air exposure 9205 SO AQUACULTURE INTERNATIONAL 9206 LA English 9207 DT Article 9208 DE air exposure; Crassostrea gigas; lysosomal membrane stability; neutral 9209 red retention; size; temperature 9210 ID LYSOSOMAL MEMBRANE STABILITY; RED RETENTION ASSAY; MYTILUS-EDULIS L; 9211 THUNBERG; STRESS; HEMOCYTES; ABALONE 9212 AB To further improve the technology used in Pacific oyster farming, 9213 information is required on the response of different sized and aged 9214 oysters to various environmental changes. In this study a neutral red 9215 retention (NRR) assay was used to investigate the effects of size and 9216 age on the response of Pacific oysters to changes in water temperature 9217 and their recovery after exposure to different air temperatures. 9218 Results from moving oysters directly between water temperatures of 5 9219 degrees C and 15 degrees C, 10 degrees C and 20 degrees C and 15 9220 degrees C and 25 degrees C demonstrated that different water 9221 temperature change affect the lysosomal membrane integrity differently. 9222 The NRR times of large and small oysters transferred directly between 9223 10 degrees C and 20 degrees C initially decreased significantly, and 9224 then increased to levels corresponding to the new temperature. In 9225 addition, NRR times in large oysters responded at a significantly 9226 slower rate than small oysters when they were transferred from 5 9227 degrees C and 25 degrees C to 15 degrees C water and between 10 degrees 9228 C and 20 degrees C water. Results from the air exposure experiments 9229 showed that, after exposure to air temperatures of 5 degrees C, 15 9230 degrees C or 25 degrees C, the lysosomal membrane integrity of large 9231 oysters recovered at a slower rate in 15 degrees C water compared to 9232 small oysters. It therefore appears necessary to develop different 9233 management strategies for large (old) and small (young) oysters. 9234 Results from this and previous research also indicate that the NRR 9235 assay could potentially be used to develop a model to monitor and 9236 predict the performance of oysters on farms. 9237 C1 S Australian Res & Dev Inst, W Beach, SA 5024, Australia. 9238 Dalian Fisheries Univ, Dalian 116023, Peoples R China. 9239 RP Li, XX, S Australian Res & Dev Inst, 2 Hamra Ave, W Beach, SA 5024, 9240 Australia. 9241 EM li.xiaoxu@saugov.sa.gov.au 9242 CR *FAO, 2003, AQ PROD QUANT 1950 2 9243 BUCHANAN JT, 2001, MAR BIOTECHNOL, V3, P322 9244 CHO SM, 2005, AQUACULTURE, V244, P383 9245 DARE PJ, 1974, J CONS INT EXPLOR ME, V35, P296 9246 HARDING JM, 2004, J SHELLFISH RES, V23, P745 9247 HAUTON C, 2001, FISH SHELLFISH IMMUN, V11, P143 9248 LOWE DM, 1995, AQUAT TOXICOL, V33, P105 9249 MCMAHON RF, 1988, AM ZOOL, V28, P97 9250 PROCHAZKA K, 1991, J SHELLFISH RES, V10, P23 9251 SHPIGEL M, 1991, AQUACULTURE, V92, P187 9252 SHPIGEL M, 1992, J EXP MAR BIOL ECOL, V161, P15 9253 SLABYJ BM, 1976, RES LIFE SCI, V23, P1 9254 SLABYJ BM, 1980, MUSSEL CULTURE HARVE, P247 9255 SUKHOTIN AA, 2003, J EXP MAR BIOL ECOL, V284, P129 9256 WANG T, 2006, J SHELLFISH RES, V25, P935 9257 WELLS RMG, 1995, AQUACULTURE, V134, P361 9258 ZHANG ZH, 2006, AQUACULTURE, V256, P502 9259 ZHANG ZH, 2006, AQUACULTURE, V256, P537 9260 NR 18 9261 TC 0 9262 PU SPRINGER 9263 PI DORDRECHT 9264 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 9265 SN 0967-6120 9266 J9 AQUACULT INT 9267 JI Aquac. Int. 9268 PD OCT 9269 PY 2007 9270 VL 15 9271 IS 5 9272 BP 351 9273 EP 362 9274 PG 12 9275 SC Fisheries 9276 GA 205MI 9277 UT ISI:000249117600002 9278 ER 9279 9280 PT J 9281 AU Waters, LJ 9282 Moyle, G 9283 Bonora, S 9284 D'Avolio, A 9285 Else, L 9286 Mandalia, S 9287 Pozniak, A 9288 Nelson, M 9289 Gazzard, B 9290 Back, D 9291 Boffito, M 9292 AF Waters, Laura J. 9293 Moyle, Graeme 9294 Bonora, Stefano 9295 D'Avolio, Antonio 9296 Else, Laura 9297 Mandalia, Sundhiya 9298 Pozniak, Anton 9299 Nelson, Mark 9300 Gazzard, Brian 9301 Back, David 9302 Boffito, Marta 9303 TI Abacavir plasma pharmacokinetics in the absence and presence of 9304 atazanavir/ritonavir or lopinavir/ritonavir and vice versa in 9305 HIV-infected patients 9306 SO ANTIVIRAL THERAPY 9307 LA English 9308 DT Article 9309 ID PERFORMANCE LIQUID-CHROMATOGRAPHY; REVERSE-TRANSCRIPTASE INHIBITORS; 9310 PROTEASE INHIBITORS; ANTIRETROVIRAL THERAPY; CARBOVIR TRIPHOSPHATE; 9311 LAMIVUDINE; VOLUNTEERS; RITONAVIR; ADULTS; MANAGEMENT 9312 AB Background: Significant interactions between abacavir and other 9313 antiretrovirals have not been reported. This study investigated the 9314 steady-state plasma pharmacokinetics of abacavir when co-administered 9315 with atazanavir/ritonavir or lopinavir/ritonavir in HIV-infected 9316 individuals. 9317 Methods: HIV-infected subjects on abacavir (600 mg once daily) plus two 9318 nucleoside reverse transcriptase inhibitors (NRTIs) (excluding 9319 tenofovir) underwent a 24 In pharmacokinetic assessment for plasma 9320 abacavir concentrations. Atazanavir/ritonavir (300/100 mg once daily; 9321 arm 1) or lopinavir/ritonavir (400/100 mg twice daily; arm 2) were then 9322 added and the 24 h pharmacokinetic assessment repeated. Arm 3 included 9323 subjects stable on atazanavir/ritonavir or lopinavir/ritonavir and two 9324 NRTIs (excluding tenofovir or abacavir). These patients underwent a 9325 pharmacokinetic assessment for atazanavir/ritonavir or 9326 lopinavir/ritonavir concentrations on day 1, abacavir (600 mg once 9327 daily) was then added to the regimen and the pharmacokinetic assessment 9328 repeated. Within-subject changes in drug exposure were evaluated by 9329 geometric mean (GM) ratios and 95% confidence intervals (CI). 9330 Results: Twenty-four patients completed the study. GM (95% CI) abacavir 9331 area under the curve (AUC) was 18,621 (15,900-21,807) and 15,136 9332 (13,339-17,174) ng.h/ml without and with atazanavir/ritonavir and 9333 15,136 (12,298-18,628) and 10,471 (9,270-11,828) ng.h/ml without and 9334 with lopinavir/ritonavir. OM (95% CI) atazanavir AUC without and with 9335 abacavir was 26,915 (13,252-54,666) and 28,840 (19,213-43,291) ng.h/ml; 9336 lopinavir AUC without and with abacavir was 60,253 (48,084-75,509) and 9337 63,096 (48,128-82,718) ng.h/ml. 9338 Conclusions: No changes in atazanavir or lopinavir exposures were 9339 observed following the addition of abacavir; however, decreases in 9340 abacavir plasma exposure of 17% and 32% were observed following the 9341 addition of atazanavir/ritonavir or lopinavir/ritonavir, respectively. 9342 C1 Chelsea & Westminster Hosp, St Stephens Ctr, London, England. 9343 Univ Turin, Turin, Italy. 9344 Univ Liverpool, Liverpool L69 3BX, Merseyside, England. 9345 RP Boffito, M, Chelsea & Westminster Hosp, St Stephens Ctr, London, 9346 England. 9347 EM marta.boffito@chelwest.nhs.uk 9348 CR *BOEHR ING PHARM I, 2006, APT SUMM PROD CHAR 9349 *GLAX SMITH KLIN, 2006, ZIAG SUMM PROD CHAR 9350 AGARWALA S, 2005, 6 INT WORKSH CLIN PH 9351 BOFFITO M, 2005, ANTIVIR THER, V10, P469 9352 DICKINSON L, 2005, J CHROMATOGR B, V829, P82 9353 ERON J, 2006, LANCET, V368, P476 9354 FICHTENBAUM CJ, 2002, AIDS, V16, P569 9355 GAZZARD B, 2006, HIV MED, V7, P487 9356 HARRISON TS, 2005, DRUGS, V65, P2309 9357 HAWKINS T, 2005, JAIDS-J ACQ IMM DEF, V39, P406 9358 HOGGARD PG, 2002, CURR OPIN INFECT DIS, V15, P3 9359 JULLIEN V, 2005, BRIT J CLIN PHARMACO, V59, P183 9360 KEARNEY BP, 2006, JAIDS-J ACQ IMM DEF, V43, P278 9361 KEWN S, 2002, ANTIMICROB AGENTS CH, V46, P135 9362 MCDOWELL JA, 2000, ANTIMICROB AGENTS CH, V44, P1686 9363 MOYLE GJ, 2005, JAIDS-J ACQ IMM DEF, V38, P417 9364 OLDFIELD V, 2006, DRUGS, V66, P1275 9365 OUELLET D, 1998, BRIT J CLIN PHARMACO, V46, P111 9366 PALELLA FJ, 2002, AIDS, V16, P1617 9367 PILIERO PJ, 2004, JAIDS-J ACQ IMM D S1, V37, S2 9368 SMITH CM, 2005, J BIOCHEM MOL TOXIC, V19, P96 9369 TSENG A, 1998, AIDS, V12, P2235 9370 VANDERLEE MJ, 2006, CLIN PHARMACOL THER, V80, P159 9371 VERWEIJVANWISSENAB CPWGM, 2005, J CHROMATOGR B, V816, P121 9372 YEH RF, 2006, JAIDS-J ACQ IMM DEF, V42, P52 9373 ZHANG DL, 2005, DRUG METAB DISPOS, V33, P1729 9374 NR 26 9375 TC 0 9376 PU INT MEDICAL PRESS LTD 9377 PI LONDON 9378 PA 2-4 IDOL LANE, LONDON EC3R 5DD, ENGLAND 9379 SN 1359-6535 9380 J9 ANTIVIR THER 9381 JI Antivir. Ther. 9382 PY 2007 9383 VL 12 9384 IS 5 9385 BP 825 9386 EP 830 9387 PG 6 9388 SC Infectious Diseases; Pharmacology & Pharmacy; Virology 9389 GA 197IC 9390 UT ISI:000248546900014 9391 ER 9392 9393 PT J 9394 AU Undre, S 9395 Koutantji, M 9396 Sevdalis, N 9397 Gautama, S 9398 Selvapatt, N 9399 Williams, S 9400 Sains, P 9401 McCulloch, P 9402 Darzi, A 9403 Vincent, C 9404 AF Undre, Shabnam 9405 Koutantji, Maria 9406 Sevdalis, Nick 9407 Gautama, Sanjay 9408 Selvapatt, Nowlan 9409 Williams, Samantha 9410 Sains, Parvinderpal 9411 McCulloch, Peter 9412 Darzi, Ara 9413 Vincent, Charles 9414 TI Multidisciplinary crisis simulations: The way forward for training 9415 surgical teams 9416 SO WORLD JOURNAL OF SURGERY 9417 LA English 9418 DT Article 9419 ID RESOURCE-MANAGEMENT; OPERATING-ROOM; SKILLS; PERFORMANCE; 9420 COMMUNICATION; ANESTHESIA; EMERGENCY; TRAINEES; TEAMWORK; WORK 9421 AB Background High-reliability organizations have stressed the importance 9422 of nontechnical skills for safety and of regularly providing such 9423 training to their teams. Recently safety skills training has been 9424 applied in the practice of medicine. In this study, we developed and 9425 piloted a module using multidisciplinary crisis scenarios in a 9426 simulated operating theatre to train entire surgical teams. 9427 Methods Twenty teams participated (n = 80); each consisted of a trainee 9428 surgeon, anesthetist, operating department practitioner (ODP), and 9429 scrub nurse. Crisis scenarios such as difficult intubation, hemorrhage, 9430 or cardiac arrest were simulated. Technical and nontechnical skills 9431 (leadership, communication, team skills, decision making, and 9432 vigilance), were assessed by clinical experts and by two psychologists 9433 using relevant technical and human factors rating scales. Participants 9434 received technical and nontechnical feedback, and the whole team 9435 received feedback on teamwork. 9436 Results Trainees assessed the training favorably. For technical skills 9437 there were no differences between surgical trainees' assessment scores 9438 and the assessment scores of the trainers. However, nurses overrated 9439 their technical skill. Regarding nontechnical skills, leadership and 9440 decision making were scored lower than the other three nontechnical 9441 skills (communication, team skills, and vigilance). Surgeons scored 9442 lower than nurses on communication and teamwork skills. Surgeons and 9443 anesthetists scored lower than nurses on leadership. 9444 Conclusions Multidisciplinary simulation-based team training is 9445 feasible and well received by surgical teams. Nontechnical skills can 9446 be assessed alongside technical skills, and differences in performance 9447 indicate where there is a need for further training. Future work should 9448 focus on developing team performance measures for training and on the 9449 development and evaluation of systematic training for technical and 9450 nontechnical skills to enhance team performance and safety in surgery. 9451 C1 Univ London Imperial Coll Sci Technol & Med, Dept Biosurg & Surg Technol, London W2 1NY, England. 9452 St Marys Hosp, London W2 1NY, England. 9453 St Marys Hosp, Dept Anaesthesia, London W2 1NY, England. 9454 RP Undre, S, Univ London Imperial Coll Sci Technol & Med, Dept Biosurg & 9455 Surg Technol, 10th Floor QEQM Bldg,Praed St, London W2 1NY, England. 9456 EM s.undre@imperial.ac.uk 9457 CR *GEN MED COUNC U, 2001, GOOD MED PRACT 9458 BALDWIN PJ, 1999, BRIT J SURG, V86, P1078 9459 DONCHIN Y, 2003, QUAL SAF HEALTH CARE, V12, P143 9460 DUFFY FD, 2004, ACAD MED, V79, P495 9461 FLIN R, 2002, TEAM PERFORMANCE MAN, V8, P68 9462 GABA DM, 1998, ANESTHESIOLOGY, V89, P8 9463 GRANTCHAROV TP, 2004, BRIT J SURG, V91, P146 9464 HEALEY AN, 2004, QUAL SAF HLTH CAR S1, V13, P33 9465 HELMREICH RL, 1999, INT J AVIAT PSYCHOL, V9, P19 9466 HOLZMAN RS, 1995, J CLIN ANESTH, V7, P675 9467 LINGARD L, 2004, QUAL SAF HEALTH CARE, V13, P330 9468 LUDBROOK GL, 1993, ANAESTH INTENS CARE, V21, P593 9469 MARTIN JA, 1997, BRIT J SURG, V84, P273 9470 MOORTHY K, 2004, BR J SURG S1, V91, P79 9471 MOORTHY K, 2005, ANN SURG, V242, P631 9472 MOORTHY K, 2006, ANN SURG, V244, P139 9473 MOREY JC, 2002, HEALTH SERV RES, V37, P1553 9474 REZNEK M, 2003, ACAD EMERG MED, V10, P386 9475 SALAS E, 2001, HUM FACTORS, V43, P641 9476 SALAS E, 2006, HUM FACTORS, V48, P392 9477 SEXTON JB, 2003, 2000 AER MED ASS C H 9478 UNDRE S, 2006, WORLD J SURG, V30, P1774 9479 UNDRE S, 2007, WORLD J SURG 9480 VINCENT C, 2004, ANN SURG, V239, P475 9481 NR 24 9482 TC 0 9483 PU SPRINGER 9484 PI NEW YORK 9485 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 9486 SN 0364-2313 9487 J9 WORLD J SURGERY 9488 JI World J.Surg. 9489 PD SEP 9490 PY 2007 9491 VL 31 9492 IS 9 9493 BP 1843 9494 EP 1853 9495 PG 11 9496 SC Surgery 9497 GA 202MX 9498 UT ISI:000248907000018 9499 ER 9500 9501 PT J 9502 AU Stauber, RE 9503 Lackner, C 9504 AF Stauber, Rudolf E. 9505 Lackner, Carolin 9506 TI Noninvasive diagnosis of hepatic fibrosis in chronic hepatitis C 9507 SO WORLD JOURNAL OF GASTROENTEROLOGY 9508 LA English 9509 DT Editorial Material 9510 DE noninvasive fibrosis tests; significant fibrosis; cirrhosis; 9511 biomarkers; transient elastography 9512 ID CHRONIC VIRAL-HEPATITIS; LIVER STIFFNESS MEASUREMENT; TRANSIENT 9513 ELASTOGRAPHY; BIOCHEMICAL MARKERS; SERUM MARKERS; III PROCOLLAGEN; 9514 HYALURONIC-ACID; VIRUS-INFECTION; PLATELET COUNT; ALANINE 9515 AMINOTRANSFERASE 9516 AB Assessment of hepatic fibrosis is important for determining prognosis, 9517 guiding management decisions, and monitoring disease. Histological 9518 evaluation of liver biopsy specimens is currently considered the 9519 reference test for staging hepatic fibrosis. Since liver biopsy carries 9520 a small but significant risk, noninvasive tests to assess hepatic 9521 fibrosis are desirable. This editorial gives an overview on noninvasive 9522 methods currently available to determine hepatic fibrosis and their 9523 diagnostic accuracy for predicting significant fibrosis and cirrhosis 9524 in chronic hepatitis C. Based on available data, the performance of 9525 simple tests derived from routine laboratory parameters appears to be 9526 similar to that of more complex and expensive fibrosis panels. 9527 Transient elastography seems more accurate than blood tests for 9528 diagnosing cirrhosis. 9529 C1 Med Univ Graz, Dept Internal Med, A-8036 Graz, Austria. 9530 Med Univ Graz, Inst Pathol, Graz, Austria. 9531 RP Stauber, RE, Med Univ Graz, Dept Internal Med, Auenbruggerpl 15, A-8036 9532 Graz, Austria. 9533 EM rudolf.stauber@meduni-graz.at 9534 CR *FRENCH METAVIR CO, 1994, HEPATOLOGY, V20, P15 9535 ADAMS LA, 2005, CLIN CHEM, V51, P1867 9536 AGUIRRE DA, 2006, RADIOLOGY, V239, P425 9537 BEDOSSA P, 2003, HEPATOLOGY, V38, P1449 9538 BOEKER KHW, 2002, CLIN CHIM ACTA, V316, P71 9539 BONACINI M, 1997, AM J GASTROENTEROL, V92, P1302 9540 BOURLIERE M, 2006, J VIRAL HEPATITIS, V13, P659 9541 CALES P, 2005, HEPATOLOGY, V42, P1373 9542 CARRION JA, 2006, LIVER TRANSPLANT, V12, P1791 9543 CASTERA L, 2005, GASTROENTEROLOGY, V128, P343 9544 CASTERA L, 2007, J HEPATOL, V46, P528 9545 CHOLONGITAS E, 2006, AM J CLIN PATHOL, V125, P710 9546 COLLETTA C, 2005, HEPATOLOGY, V42, P838 9547 COLLOREDO G, 2003, J HEPATOL, V39, P239 9548 CORPECHOT C, 2006, HEPATOLOGY, V43, P1118 9549 DESMET VJ, 1994, HEPATOLOGY, V19, P1513 9550 FORNS X, 2002, HEPATOLOGY 1, V36, P986 9551 FOUCHER J, 2006, GUT, V55, P403 9552 FRIEDRICHRUST M, 2007, AM J ROENTGENOL, V188, P758 9553 GANNECARRIE N, 2006, HEPATOLOGY, V44, P1511 9554 GIANNINI E, 2003, ARCH INTERN MED, V163, P218 9555 GIANNINI EG, 2006, J CLIN GASTROENTEROL, V40, P521 9556 GUECHOT J, 1996, CLIN CHEM, V42, P558 9557 HALFON P, 2006, AM J GASTROENTEROL, V101, P547 9558 HALFON P, 2007, J HEPATOL, V46, P395 9559 IMBERTBISMUT F, 2001, LANCET, V357, P1069 9560 ISHAK K, 1995, J HEPATOL, V22, P696 9561 KETTANEH A, 2007, J HEPATOL, V46, P628 9562 KNODELL RG, 1981, HEPATOLOGY, V1, P431 9563 KODA M, 2007, HEPATOLOGY, V45, P297 9564 LACKNER C, 2005, HEPATOLOGY, V41, P1376 9565 LEROY V, 2004, AM J GASTROENTEROL, V99, P271 9566 LOK ASF, 2005, HEPATOLOGY, V42, P282 9567 MACIAS J, 2006, GUT, V55, P409 9568 MCGILL DB, 1990, GASTROENTEROLOGY, V99, P1396 9569 MCHUTCHISON JG, 2000, J GASTROEN HEPATOL, V15, P945 9570 MUKHERJEE S, 2006, SEMIN LIVER DIS, V26, P337 9571 MYERS RP, 2003, DIGEST DIS SCI, V48, P146 9572 NAVEAU S, 2005, CLIN GASTROENTEROL H, V3, P167 9573 NGO Y, 2006, CLIN CHEM, V52, P1887 9574 NGUYENKHAC E, 2006, EUR J GASTROEN HEPAT, V18, P1320 9575 ONO E, 1999, HEPATOL RES, V15, P192 9576 PARISE ER, 2006, LIVER INT, V26, P1095 9577 PARKES J, 2006, J HEPATOL, V44, P462 9578 PATEL K, 2004, J HEPATOL, V41, P935 9579 POYNARD T, 1997, J VIRAL HEPATITIS, V4, P199 9580 POYNARD T, 2003, HEPATOLOGY, V38, P481 9581 POYNARD T, 2007, ALIMENT PHARM THERAP, V25, P733 9582 RATZIU V, 2006, BMC GASTROENTEROL, V6 9583 REGEV A, 2002, AM J GASTROENTEROL, V97, P2614 9584 ROCKEY DC, 2006, HEPATOLOGY S1, V43, S113 9585 ROHDE H, 1979, EUR J CLIN INVEST, V9, P451 9586 ROSENBERG WMC, 2004, GASTROENTEROLOGY, V127, P1704 9587 ROSSI E, 2003, CLIN CHEM, V49, P450 9588 ROZARIO R, 2003, J HEPATOL, V38, P223 9589 SAITOU Y, 2005, WORLD J GASTROENTERO, V11, P476 9590 SANDRIN L, 2003, ULTRASOUND MED BIOL, V29, P1705 9591 SEBASTIANI G, 2006, J HEPATOL, V44, P686 9592 SEREJO F, 2001, DIGEST DIS SCI, V46, P1684 9593 STRADER DB, 2004, HEPATOLOGY, V39, P1147 9594 SUZUKI A, 2005, LIVER INT, V25, P779 9595 VANTHIEL DH, 1993, TRANSPLANTATION, V55, P1087 9596 VIZZUTTI F, 2007, HEPATOLOGY, V45, P1290 9597 WAI CT, 2003, HEPATOLOGY, V38, P518 9598 WALSH KM, 1999, DIGEST DIS SCI, V44, P624 9599 WALSH KM, 1999, EUR J GASTROEN HEPAT, V11, P827 9600 WILLIAMS ALB, 1988, GASTROENTEROLOGY, V95, P734 9601 YANO M, 1996, HEPATOLOGY, V23, P1334 9602 ZIOL M, 2005, HEPATOLOGY, V41, P48 9603 NR 69 9604 TC 0 9605 PU W J G PRESS 9606 PI BEIJING 9607 PA APT 1066, YISHOU GARDEN, NO 58, NORTH LANGXINZHUANG RD, PO BOX 2345, 9608 BEIJING 100023, PEOPLES R CHINA 9609 SN 1007-9327 9610 J9 WORLD J GASTROENTEROL 9611 JI World J. Gastroenterol. 9612 PD AUG 28 9613 PY 2007 9614 VL 13 9615 IS 32 9616 BP 4287 9617 EP 4294 9618 PG 8 9619 SC Gastroenterology & Hepatology 9620 GA 203PA 9621 UT ISI:000248985300001 9622 ER 9623 9624 PT J 9625 AU Tzeng, SS 9626 AF Tzeng, Show-Shiow 9627 TI Channel management for multi-service traffic in cellular wireless 9628 networks 9629 SO WIRELESS PERSONAL COMMUNICATIONS 9630 LA English 9631 DT Article 9632 DE wireless networks; channel management; adaptive services; quality of 9633 service 9634 ID QOS; FRAMEWORK 9635 AB Channel management aims to provide quality of service guarantees for 9636 mobile users while efficiently utilize limited radio spectrum. With the 9637 increasing demand for diverse services in wireless networks, channel 9638 management for multi-service traffic in wireless networks is important. 9639 To provide diverse broadband services in limited radio spectrum, 9640 previous literature has presented adaptive services which provide 9641 mobile users with good quality of services. This study considers 9642 channel management for multi-service traffic in wireless networks with 9643 adaptive services. A channel management scheme, namely, restricted 9644 sharing, is devised to provide multi-class traffic with quality of 9645 service guarantees while increase channel utilization as much as 9646 possible. An analysis is used to study the performance of the 9647 restricted sharing scheme. Three classes are considered in numerical 9648 results. Numerical results show that the restricted sharing scheme 9649 guarantees quality of service and achieves high channel utilization. 9650 C1 Natl Kaohsiung Normal Univ, Dept Optoelect & Commun Engn, Kaohsiung 802, Taiwan. 9651 RP Tzeng, SS, Natl Kaohsiung Normal Univ, Dept Optoelect & Commun Engn, 9652 Kaohsiung 802, Taiwan. 9653 EM sstzeng@nknucc.nknu.edu.tw 9654 CR BHARGHAVAN V, 1998, IEEE PERS COMMUN, V5, P20 9655 BIANCHI G, 2000, IEEE J SEL AREA COMM, V18, P244 9656 EPSTEIN B, 1995, P IEEE VTC 95 CHIC U, V1, P165 9657 EPSTEIN BM, 2000, IEEE J SEL AREA COMM, V18, P523 9658 KATZELA I, 1996, IEEE PERS COMMUN, V3, P10 9659 NAGHSHINEH M, 1997, IEEE COMMUN MAG, V35, P72 9660 RANDHAWA TS, 2000, P IEEE WCNC 2000, V3, P1390 9661 ROSS KW, 1995, MULTISERVICE LOSS MO 9662 RUIZ PM, 2004, IEEE T SYST MAN CY B, V34, P1398 9663 SUN JZ, 2003, P IEEE PIMRC 2003 BE, V1, P839 9664 WU DP, 2001, P IEEE, V89, P6 9665 NR 11 9666 TC 0 9667 PU SPRINGER 9668 PI DORDRECHT 9669 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 9670 SN 0929-6212 9671 J9 WIREL PERS COMMUN 9672 JI Wirel. Pers. Commun. 9673 PD SEP 9674 PY 2007 9675 VL 42 9676 IS 4 9677 BP 527 9678 EP 536 9679 PG 10 9680 SC Telecommunications 9681 GA 193XB 9682 UT ISI:000248307400005 9683 ER 9684 9685 PT J 9686 AU Jain, R 9687 Lelescu, D 9688 Balakrishnan, M 9689 AF Jain, Ravi 9690 Lelescu, Dan 9691 Balakrishnan, Mahadevan 9692 TI Model T: A model for user registration patterns based on campus WLAN 9693 data 9694 SO WIRELESS NETWORKS 9695 LA English 9696 DT Article 9697 DE mobility models; registration models; wireless LAN 9698 AB We discuss the derivation of an empirical model for spatial 9699 registration patterns of mobile users in a campus wireless local area 9700 network (WLAN). Such a model can be very useful in a variety of 9701 simulation studies of the performance of mobile wireless systems, such 9702 as that of resource management and mobility management protocols. We 9703 base the model on extensive experimental data from a campus WiFi LAN 9704 installation. We divide the empirical data available to us into 9705 training and test data sets, develop the model based on the training 9706 set, and evaluate it against the test set. 9707 The model shows that user registration patterns exhibit a distinct 9708 hierarchy, and that WLAN access points (APs) can be clustered based on 9709 registration patterns. Cluster size distributions are highly skewed, as 9710 are intra-cluster transition probabilities and trace lengths, which can 9711 all be modeled well by the heavy-tailed Weibull distribution. The 9712 fraction of popular APs in a cluster, as a function of cluster size, 9713 can be modeled by exponential distributions. There is general 9714 similarity across hierarchies, in that inter-cluster registration 9715 patterns tend to have the same characteristics and distributions as 9716 intra-cluster patterns. In this context, we also introduce and discuss 9717 the modeling of the disconnected state as an integral part of real 9718 traffic characteristics. 9719 We generate synthetic traffic traces based on the model we derive. We 9720 then compare these traces against the real traces from the test set 9721 using a set of metrics we define. We find that the synthetic traces 9722 agree very well with the test set in terms of the metrics. We compare 9723 the derived model to a simple modified random waypoint model, and show 9724 that the latter is not at all representative of the real data. We also 9725 show how the model parameters can be varied to allow designers to 9726 consider 'what-if' scenarios easily. Finally we develop an extended 9727 version of Model T that uses an alternative modeling of relative 9728 popularity of APs and clusters, with certain generalization advantages, 9729 and evaluate its fidelity to the real data also, with positive results. 9730 C1 DoCoMo Commun Labs USA, San Jose, CA 95110 USA. 9731 RP Jain, R, DoCoMo Commun Labs USA, 181 Metro Dr,Suite 300, San Jose, CA 9732 95110 USA. 9733 EM ravi.jain@acm.org 9734 lelescu@docomolabs-usa.com 9735 mahadevanbk@gmail.com 9736 CR BALAZINSKA M, 2003, P MOBISYS MAY 9737 CAMP T, 2002, COMPUT COMMUN, V2, P483 9738 CHINCHILLA F, 2004, P INF 9739 JAIN R, 2004, ACM SIGMOBILE, V8, P59 9740 JAIN R, 2004, IEEE BROADNETS S OCT 9741 JARDOSH E, 2003, P MOBICOM 9742 KOTZ D, 2002, P MOBICOM 9743 SONG L, 2004, P INF 9744 TANG D, 2000, P MOBICOM 9745 VANDONGEN S, 2000, THESIS U UTRECHT 9746 YOON J, 2003, P INF 9747 NR 11 9748 TC 0 9749 PU SPRINGER 9750 PI DORDRECHT 9751 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 9752 SN 1022-0038 9753 J9 WIREL NETW 9754 JI Wirel. Netw. 9755 PY 2007 9756 VL 13 9757 IS 6 9758 BP 711 9759 EP 735 9760 PG 25 9761 SC Computer Science, Information Systems; Engineering, Electrical & 9762 Electronic; Telecommunications 9763 GA 207KC 9764 UT ISI:000249249000002 9765 ER 9766 9767 PT J 9768 AU Akella, A 9769 Judd, G 9770 Seshan, S 9771 Steenkiste, P 9772 AF Akella, Aditya 9773 Judd, Glenn 9774 Seshan, Srinivasan 9775 Steenkiste, Peter 9776 TI Self-management in chaotic wireless deployments 9777 SO WIRELESS NETWORKS 9778 LA English 9779 DT Article 9780 AB Over the past few years, wireless networking technologies have made 9781 vast forays into our daily lives. Today, one can find 802.11 hardware 9782 and other personal wireless technology employed at homes, shopping 9783 malls, coffee shops and airports. Present-day wireless network 9784 deployments bear two important properties: they are unplanned, with 9785 most access points (APs) deployed by users in a spontaneous manner, 9786 resulting in highly variable AP densities; and they are unmanaged, 9787 since manually configuring and managing a wireless network is very 9788 complicated. We refer to such wireless deployments as being chaotic. 9789 In this paper, we present a study of the impact of interference in 9790 chaotic 802.11 deployments on end-client performance. First, using 9791 large-scale measurement data from several cities, we show that it is 9792 not uncommon to have tens of APs deployed in close proximity of each 9793 other. Moreover, most APs are not configured to minimize interference 9794 with their neighbors. We then perform trace-driven simulations to show 9795 that the performance of end-clients could suffer significantly in 9796 chaotic deployments. We argue that end-client experience could be 9797 significantly improved by making chaotic wireless networks 9798 self-managing. We design and evaluate automated power control and rate 9799 adaptation algorithms to minimize interference among neighboring APs, 9800 while ensuring robust end-client performance. 9801 C1 Carnegie Mellon Univ, Dept Comp Sci, Pittsburgh, PA 15213 USA. 9802 RP Akella, A, Carnegie Mellon Univ, Dept Comp Sci, 5000 Forbes Ave, 9803 Pittsburgh, PA 15213 USA. 9804 EM aditya@cs.cmu.edu 9805 glennj@cs.cmu.edu 9806 srini+@cs.cmu.edu 9807 prs@cs.cmu.edu 9808 CR DATACOMM RES NEW DAT 9809 *ALC, AIRV SOFTW 9810 *IEEE, OUI COMP ASS 9811 *INST MDR, 3Q 2004 WLAN MARK SH 9812 *INT RES SEATTL, PLAC LAB PRIV OBS LO 9813 *INTEGO, WI FI LOC 9814 *JLW, WI FI HOTSP LOC 9815 *PROP NETW, AUT 9816 *STRIX SYST, ACC NETW OWS 9817 *WI FI ZON COM, FIND MOR HOTSP LOC 9818 *WIFI MAPS COM, WARDR MAPS HOTSP LOC 9819 AGUAYO D, 2004, P 2004 ACM ANN C SPE, P121 9820 AKELLA A, 2002, ACM SPECIAL INTEREST, P117 9821 CHENG Y, 2005, P MOBISYS, P233 9822 CHIU DM, 1989, COMPUT NETWORKS ISDN, V17, P1 9823 CLARK DD, 2003, P ACM SIGCOMM AUG, P3 9824 DRAVES R, 2004, P ACM SIGCOMM, P133 9825 DROMS R, 2131 RFC 9826 HILLS A, 2001, IEEE COMMUN MAG, V39, P98 9827 HOLLAND G, 2003, P ACM MOBICOM, P236 9828 JUDD G, 2005, P USENIX NSDI 9829 KAWADIA V, 2005, IEEE J SEL AREA COMM, V1, P5 9830 KOMPELLA R, 2003, ACM SENSYS 9831 MAH BA, 1997, P IEEE INFOCOM 97, P592 9832 MALINEN J, HOST AP DRIV 9833 QIAO D, 2003, P ACM MOB SEPT, P161 9834 RAO A, 2005, P MOBISYS, P135 9835 RAPPAPORT T, 1996, WIRELESS COMMUNICATI 9836 REXFORD J, P ACM SIGCOMM HOTNET 9837 SADEGHI B, 2002, P ACM MOBICOM, P24 9838 SANTHANAM A, 2003, P IEEE INF, P702 9839 THOMSON S, 2462 RFC 9840 VANDERVEGT V, AUTO RATE FALLBACK 9841 ZENG X, GLOBAL MOBILE INFORM 9842 NR 34 9843 TC 0 9844 PU SPRINGER 9845 PI DORDRECHT 9846 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 9847 SN 1022-0038 9848 J9 WIREL NETW 9849 JI Wirel. Netw. 9850 PY 2007 9851 VL 13 9852 IS 6 9853 BP 737 9854 EP 755 9855 PG 19 9856 SC Computer Science, Information Systems; Engineering, Electrical & 9857 Electronic; Telecommunications 9858 GA 207KC 9859 UT ISI:000249249000003 9860 ER 9861 9862 PT J 9863 AU Chakravorty, R 9864 Agarwal, S 9865 Banerjee, S 9866 Pratt, I 9867 AF Chakravorty, Rajiv 9868 Agarwal, Sulabh 9869 Banerjee, Suman 9870 Pratt, Ian 9871 TI A mobile bazaar for wide-area wireless services 9872 SO WIRELESS NETWORKS 9873 LA English 9874 DT Article 9875 AB We introduce MoB, an infrastructure for collaborative wide-area 9876 wireless data services. MoB proposes to change the current model of 9877 data services in the following fundamental ways: (1) it decouples 9878 infrastructure providers from services providers and enables 9879 fine-grained competition, (2) it allows service interactions on 9880 arbitrary timescales, and, (3) it promotes flexible composition of 9881 these fine-grained service interactions based on user and application 9882 needs. At the heart of MoB is an open market architecture in which 9883 mobile users can opportunistically trade various services with each 9884 other in a flexible manner. In this paper we first describe the overall 9885 architecture of MoB including various enablers like user reputation 9886 management, incentive management, and accounting services. We next 9887 present our experience from both simulations as well as our prototype 9888 implementation of MoB in enhancing application performance in multiple 9889 different scenarios-file transfers, web browsing, media streaming, and 9890 location-enhanced services. 9891 C1 Univ Wisconsin, Dept Comp Sci, Madison, WI 53706 USA. 9892 RP Chakravorty, R, Univ Wisconsin, Dept Comp Sci, 1210 W Dayton St, 9893 Madison, WI 53706 USA. 9894 EM rajiv@cs.wisc.edu 9895 sulabh@cs.wisc.edu 9896 suman@cs.wisc.edu 9897 ian.pratt@cl.cam.ac.uk 9898 CR AGGELOU G, 2001, IEEE PERSONAL COMMUN, V8 9899 BAL P, 2000, P IEEE INF 9900 BEJERANO Y, 2002, P ACM MOBICOM 9901 BUCHEGGER S, 2002, P ACM MOBIHOC 9902 BUTTYAN L, 2000, P ACM MOBIHOC 9903 BUTTYAN L, 2003, ACM J MOBILE NETWORK 9904 CROWCROFT J, 2004, J AD HOC NETWORKS, V2 9905 DELLAROCAS C, 2001, P 3 ACM C EL COMM 9906 FREEMAN W, 1999, P INT S MOD ANAL SIM 9907 FRIEDMAN E, 2000, J EC MGMT STRATEGY 9908 GIBBENS R, 1999, AUTOMATICA, V35 9909 GUTTMAN E, 1999, 2608 RFC 9910 JOHNSON D, 1996, DYNAMIC SOURCE ROUTI 9911 KAMVAR SD, 2003, WORLD WIDE WEB C 9912 KEY P, 1999, IEE P SOFTWARE, V146 9913 KLEMM A, 2003, P VTC 9914 KOLLOCH P, 1999, ADV GROUP PROCESSES, V16 9915 LA R, 1999, IEEE C DECISION CONT, V4 9916 LEE K, 2005, COMPUTER NETWORKS, V47 9917 LEE S, 2003, P INFOCOM 9918 LIN H, 2003, P ACM MOBICOM 9919 LIN YD, 2000, P IEEE INF 9920 LUO H, 2003, P ACM MOB 9921 MARTI S, 2000, P ACM MOB 9922 MILLS DL, 1992, IETF REQUEST COMMENT 9923 PAPADOPOULI M, 2001, P ACM MOBIHOC 9924 PATEL B, 1997, P ACM MOB 9925 PERKINS C, 1999, IEEE WORKSH MOB COMP 9926 RAHMAN AA, 2000, P HAW INT C SYST SCI, V33 9927 RESNICK P, 2000, COMMUNICATIONS ACM, V43 9928 RODRIGUEZ P, 2004, P ACM MOBISYS 9929 SALEM N, 2003, P MOBIHOC 9930 SEMRET N, 2000, IEEE J SELECTED AREA, V18 9931 SHARMA P, 2004, P IEEE BROADNETS 9932 WU H, 2001, IEEE J SELECTED AREA, V19 9933 YAICHE H, 2000, IEEE ACM T NETWORKIN, V8 9934 YOON J, 2003, P IEEE INF 9935 YOUSSEF M, 2005, P ACM MOB 9936 ZHANG H, 2004, P 3 WORKSH ALG MOD W 9937 ZHONG S, 2003, P IEEE INF 9938 NR 40 9939 TC 0 9940 PU SPRINGER 9941 PI DORDRECHT 9942 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 9943 SN 1022-0038 9944 J9 WIREL NETW 9945 JI Wirel. Netw. 9946 PY 2007 9947 VL 13 9948 IS 6 9949 BP 757 9950 EP 777 9951 PG 21 9952 SC Computer Science, Information Systems; Engineering, Electrical & 9953 Electronic; Telecommunications 9954 GA 207KC 9955 UT ISI:000249249000004 9956 ER 9957 9958 PT J 9959 AU Golisz, A 9960 Lata, B 9961 Gawronski, SW 9962 Fujii, Y 9963 AF Golisz, Anna 9964 Lata, Barbara 9965 Gawronski, Stanislaw W. 9966 Fujii, Yoshiharu 9967 TI Specific and total activities of the allelochemicals identified in 9968 buckwheat 9969 SO WEED BIOLOGY AND MANAGEMENT 9970 LA English 9971 DT Article 9972 DE allelopathic activity; Fagopyrum esculentum Moench; lettuce; phenolics; 9973 rutin; total activity 9974 ID PERFORMANCE LIQUID-CHROMATOGRAPHY; WEED MANAGEMENT; ALLELOPATHY 9975 AB The various organs of the Polish cultivars of buckwheat were evaluated 9976 for their flavonoid content (rutin, quercetin, (+)-catechin, and 9977 (-)-epicatechin) and for their phenolic acid content (chlorogenic, 9978 caffeic, ferulic, and gallic acids) to test their contribution to 9979 buckwheat allelopathic activity. The main compound found in the 9980 above-ground organs of buckwheat was rutin, followed by chlorogenic 9981 acid, and then (-)-epicatechin. The allelopathic activity, based on the 9982 specific activity of the identified compounds on lettuce seedling 9983 growth, was evaluated. Gallic acid had the highest specific activity 9984 and quercetin had the lowest. The specific activity of rutin was at the 9985 medium level compared to the other examined compounds, but as a 9986 consequence of its high concentration, its total activity was very 9987 high. The growth inhibitory effects of the aqueous extracts of the 9988 buckwheat leaves and inflorescences were higher than that of the stems. 9989 The higher inhibitory activity of the extracts compared to the leaves 9990 and inflorescences was explained by the high presence of rutin in them. 9991 Therefore, based on the total activity, as calculated by its 9992 concentration and its growth inhibitory effect, it seems that rutin, 9993 among the other tested compounds, is the major allelochemical in Polish 9994 buckwheat. 9995 C1 Natl Inst Agroenvironm Sci, Biodivers Div, Tsukuba, Ibaraki 3058604, Japan. 9996 Agr Univ Warsaw, Lab Basic Sci Hort, Fac Hort & Landscape Architecture, Warsaw, Poland. 9997 RP Fujii, Y, Natl Inst Agroenvironm Sci, Biodivers Div, 3-1-3 Kannondai, 9998 Tsukuba, Ibaraki 3058604, Japan. 9999 EM yfujii@affrc.go.jp 10000 CR *IAS, 1996, CONS BYL1 WORLD C AL 10001 ANDLAUER W, 1999, J CHROMATOGR A, V849, P341 10002 BECKMAN C, 2005, BI WEEKLY B, V18, P1 10003 BHOWMIK PC, 2003, CROP PROT, V22, P661 10004 CAMPBELL CG, 1997, PROMOTING CONSERVATI 10005 CHON SU, 2002, J AGRON CROP SCI, V188, P281 10006 COOK J, 1989, HORTICULTURE, V67, P34 10007 EINHELLIG FA, 1988, J CHEM ECOL, V14, P1829 10008 ESCARPA A, 1999, J CHROMATOGR A, V830, P301 10009 ESKELSEN SR, 1995, WEED SCI, V43, P70 10010 FUJII Y, 2005, P 20 AS PAC WEED SCI, P227 10011 FUJII Y, 2005, P 4 WORLD C ALL EST, P73 10012 HAGELS H, 1995, CURR ADV BUCKWHEAT R, V115, P801 10013 HIRADATE S, 2004, 227 ACS NAT M 10014 HIRADATE S, 2004, PHYTOCHEMISTRY, V65, P731 10015 HIRADATE S, 2006, NATURAL PRODUCTS PES, P113 10016 IQBAL Z, 2002, WEED BIOL MANAG, V2, P110 10017 IQBAL Z, 2003, WEED SCI, V51, P657 10018 IQBAL Z, 2005, WEBS 4 WORLD C ALL E 10019 KHANH TD, 2005, J AGRON CROP SCI, V191, P172 10020 KITABAYASHI H, 1995, BREEDING SCI, V45, P75 10021 KLUK K, 1779, ROSLIN POTRZEBNYCH P 10022 LACHMAN J, 2000, SCI AGR BOHEM, V31, P89 10023 LACHMAN J, 2004, SUST LIF SEC SURV 2 10024 TOMINAGA T, 1995, CURRENT ADV BUCKWH R, V2, P693 10025 TSUZUKI E, 1987, ANN BOT-LONDON, V60, P69 10026 TSUZUKI E, 1987, B FACULTY AGR MIYAZA, V34, P289 10027 TSUZUKI E, 2001, AGR HORTIC, V76, P55 10028 TSUZUKI E, 2003, ALLELOPATHY J, V12, P1 10029 WANG HF, 2000, FOOD CHEM, V68, P115 10030 WEIR TL, 2004, CURR OPIN PLANT BIOL, V7, P472 10031 WESTON LA, 1996, AGRON J, V88, P860 10032 XUAN TD, 2004, ALLELOPATHY J, V13, P137 10033 XUAN TD, 2005, CROP PROT, V24, P197 10034 NR 34 10035 TC 0 10036 PU BLACKWELL PUBLISHING 10037 PI OXFORD 10038 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 10039 SN 1444-6162 10040 J9 WEED BIOL MANAG 10041 JI Weed Biol. Manag. 10042 PD SEP 10043 PY 2007 10044 VL 7 10045 IS 3 10046 BP 164 10047 EP 171 10048 PG 8 10049 SC Agronomy; Plant Sciences 10050 GA 206RV 10051 UT ISI:000249201500003 10052 ER 10053 10054 PT J 10055 AU Bezama, A 10056 Szarka, N 10057 Navia, R 10058 Konrad, O 10059 Lorber, KE 10060 AF Bezama, Alberto 10061 Szarka, Nora 10062 Navia, Rodrigo 10063 Konrad, Odorico 10064 Lorber, Karl E. 10065 TI Lessons learned for a more efficient knowledge and technology transfer 10066 to South American countries in the fields of solid waste and 10067 contaminated sites management 10068 SO WASTE MANAGEMENT & RESEARCH 10069 LA English 10070 DT Article 10071 DE municipal solid waste management; industrial waste management; 10072 contaminated sites; know-how transfer; technology transfer; developing 10073 countries; wmr 1033-9 10074 ID TANNERY 10075 AB The present paper describes the development, performance and 10076 conclusions derived from three know-how and technology transfer 10077 projects to South American countries. The first project comprised a 10078 collaborative study by European and South American universities to find 10079 sustainable solutions for Chilean and Ecuadorian leather tanneries 10080 which had underachieving process performances. The second project 10081 consisted of investigations carried out in a Brazilian municipality to 10082 enhance its municipal solid waste management system. The final 10083 collaborative programme dealt with the initial identification, 10084 evaluation and registration of suspected contaminated sites in an 10085 industrial region of Chile. The detailed objectives, methods and 10086 procedures applied as well as the results and conclusions obtained in 10087 each of the three mentioned projects are presented, giving special 10088 attention to the organizational aspects and to the practical approach 10089 of each programme, concluding with their main advantages and 10090 disadvantages for identifying a set of qualitative and quantitative 10091 suggestions, and to establish transferable methods for future 10092 applications. 10093 C1 Univ Concepcion, EULA Chile, Ctr Environm Sci, Concepcion, Chile. 10094 Univ Min & Met Leoben, Dept Tech Ecosyst Anal, A-8700 Leoben, Austria. 10095 Univ La Frontera, Dept Chem Engn, Temuco, Chile. 10096 Ctr Univ UNIVATES, BR-95900000 Lajeado, RS, Brazil. 10097 Univ Min & Met Leoben, Inst Sustainable Waste Management & Technol, A-8700 Leoben, Austria. 10098 RP Bezama, A, Univ Concepcion, EULA Chile, Ctr Environm Sci, PO Box 160-C, 10099 Concepcion, Chile. 10100 EM abezama@udec.cl 10101 CR *BW MIN ENV TRAFF, 1988, ALT 1 ALT MAN CONT S 10102 *FUND CHIL, 2004, MAN PROC ID PRIOR SI 10103 *IIASA, 2006, TRANS NEW TECHN HOM 10104 BEZAMA A, 2004, OSTERREICHISCHE ABFA, V56, P139 10105 BEZAMA A, 2005, ANAL RIESGO PRELIMIN 10106 BEZAMA A, 2006, IN PRESS WASTE MANAG 10107 BICHLER B, 2000, THESIS U LEOBEN AUST 10108 CUTLER WG, 1991, RES TECHNOL MANAGE, V34, P11 10109 DEPALMA R, 2002, INT FOR STRAT PRIOR 10110 FIGUEROA C, 2001, THESIS U CONCEPCION 10111 JUNG H, 2005, P INT C ROL APPR TEC 10112 KONRAD C, 2001, THESIS U LEOBEN AUST 10113 KONRAD C, 2002, J SOC LEATH TECH CH, V86, P18 10114 KONRAD O, 2002, THESIS U LEOBEN AUST 10115 KONRAD O, 2004, P ISWA WORLD ENV C E 10116 LORBER KE, 2004, P WASTECON 2004 C SU 10117 LUDVIK J, 2000, USRAS921201151 UNIDO 10118 MOSER G, 2000, THESIS U LEOBEN AUST 10119 MUNCHRATH J, 1998, BOETHIANA FORSCHUNGS, V34 10120 MUNDACA L, 2002, THESIS LUND U SWEDEN 10121 MUNDACA L, 2005, CLIM POLICY, V4, P399 10122 PARK J, 2000, THESIS TU BERLIN GER 10123 RIVELA B, 2004, ENVIRON SCI TECHNOL, V38, P1901 10124 RIVELA B, 2004, WASTE MANAGE RES, V22, P131 10125 STEGMANN R, 2003, P FIN PROJ C EU LIF 10126 ZURBRUGG C, 2005, P INT C ROL APPR TEC 10127 NR 26 10128 TC 0 10129 PU SAGE PUBLICATIONS LTD 10130 PI LONDON 10131 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 10132 SN 0734-242X 10133 J9 WASTE MANAGE RES 10134 JI Waste Manage. Res. 10135 PD APR 10136 PY 2007 10137 VL 25 10138 IS 2 10139 BP 148 10140 EP 161 10141 PG 14 10142 SC Engineering, Environmental; Environmental Sciences 10143 GA 194IQ 10144 UT ISI:000248338500007 10145 ER 10146 10147 PT J 10148 AU Muller, N 10149 Steele, M 10150 Balaji, KA 10151 Krishna, M 10152 Berman, AP 10153 Robertson, J 10154 Vail, J 10155 AF Muller, Nancy 10156 Steele, Matthew 10157 Balaji, K. A. 10158 Krishna, Maclhu 10159 Berman, Adriane P. 10160 Robertson, Joan 10161 Vail, Janet 10162 TI Evaluating the use and acceptability of a needle-remover device in India 10163 SO TROPICAL DOCTOR 10164 LA English 10165 DT Article 10166 ID HEALTH-CARE SETTINGS; INJECTIONS; INFECTION; SAFETY 10167 AB The objective of this study was to assess the effect of the use of a 10168 manually operated needle remover on sharps-waste management practices 10169 in clinical settings in India - specifically, evaluating its 10170 acceptability and performance. 10171 Thirty-one Balcan Mini-Destructor needle removers were introduced into 10172 seven health facilities in two cities in India - Delhi and Jaipur. One 10173 hundred and nineteen health workers, including auxiliary nurse 10174 midwives, nurses, and laboratory staff, used the device. Data were 10175 prospectively collected by observation and interview on device usage, 10176 malfunction and acceptability over a 23-week period. Focus group 10177 discussions on current practices were conducted prior to study 10178 initiation and, after completion, on device acceptability and 10179 performance. 10180 The manual needle remover was well accepted. Devices were seen as easy 10181 to use and durable. In total, 88,719 needles were removed. 10182 In conclusion, the needle-remover device was considered an acceptable 10183 method of preventing needle reuse and isolating infectious sharps waste 10184 in clinical settings. 10185 C1 PATH, Seattle, WA 98107 USA. 10186 Voxiva India Ltd, New Delhi, India. 10187 RP Muller, N, PATH, 1455 NW Leary Way, Seattle, WA 98107 USA. 10188 EM nmuller@path.org 10189 CR *GOV IND MIN ENV F, BIOM WAST MAN HANDL 10190 *GOV IND, 2004, POL PLAN ACT ACH SAF 10191 *PATH, 2000, ASS NEEDL DESTR IMPR 10192 *PATH, 2002, COMP STUD EV SURF CO 10193 *WHO SAF INJ GLOB, 2001, INF SAF 1 DO NO HARM 10194 DICKO M, 2000, B WORLD HEALTH ORGAN, V78, P163 10195 HERSH BS, 2003, J INFECT DIS, V187, S299 10196 HUTIN Y, 2003, B WORLD HEALTH ORGAN, V81, P491 10197 HUTIN YJF, 2003, BRIT MED J, V327, P1075 10198 JIE L, 2002, RAPID ASSESSMENT INJ 10199 KERMODE M, 2005, AM J INFECT CONTROL, V33, P34 10200 RAJASEKARAN M, 2003, PUBLIC HEALTH, V117, P208 10201 NR 12 10202 TC 0 10203 PU ROYAL SOC MEDICINE PRESS LTD 10204 PI LONDON 10205 PA 1 WIMPOLE STREET, LONDON W1G 0AE, ENGLAND 10206 SN 0049-4755 10207 J9 TROP DOCT 10208 JI Trop. Dr. 10209 PD JUL 10210 PY 2007 10211 VL 37 10212 IS 3 10213 BP 133 10214 EP 135 10215 PG 3 10216 SC Public, Environmental & Occupational Health; Tropical Medicine 10217 GA 205DV 10218 UT ISI:000249094700003 10219 ER 10220 10221 PT J 10222 AU Asadu, CLA 10223 Dixon, AGO 10224 AF Asadu, C. L. A. 10225 Dixon, A. G. O. 10226 TI Soil nutrient and cassava yield variations under continuous cultivation 10227 of three crop mixtures in south-eastern Nigeria 10228 SO TROPICAL AGRICULTURE 10229 LA English 10230 DT Article 10231 DE soil fertility; cassava yield variations; crop mixtures; regression; 10232 Nigeria 10233 ID YAM 10234 AB A research farm at University of Nigeria, Nsukka, Nigeria, which was 10235 under cultivation for > 25 years before it was fallowed for 8 years, 10236 was cleared in 1998 and grown to three common crop mixtures for 4 10237 years. The aim was to assess the performance of the cassava component 10238 in terms of root yield and harvest index under continuous cultivation 10239 relative to soil nutrient variations. The crop mixtures were cassava + 10240 pigeonpea, cassava + pigeonpea + maize, and cassava + pigeonpea + maize 10241 + yam. Incorporation of crop residues from each of the respective plots 10242 into the soils and the use of a legume (pigeonpea) served as means of 10243 restoring soil fertility. The experimental design was a randomized 10244 complete block design replicated thrice each year. Changes in eight 10245 selected soil fertility indicators, namely, pH, total N, organic 10246 matter, available P, and exchangeable Ca, Mg, K, and Na were monitored 10247 for the period. An analysis of the nutrient contents of the soils under 10248 the crop mixtures indicated narrow variations over the four years, 10249 except in the cases of exchangeable cations where coefficients of 10250 variations of >= 25% were obtained. Comparatively, year-to-year 10251 variations were more substantial though not consistent. This is because 10252 in some years some nutrients decreased while others increased relative 10253 to the values obtained in the preceding year. Except in 1999 when 10254 cassava root yields from all the crop mixtures decreased substantially 10255 (> 60%) relative to their 1998 respective values, the trends in other 10256 years were not consistent in all the crop mixtures. The mean yields 10257 obtained were generally below the expected mean yield for the same 10258 cassava variety in the area. The study also showed that all the soil 10259 parameters selected contributed to the variations in cassava yields, 10260 though they were not consistent in each year and in each crop mixture. 10261 However, regression analysis between the relative changes in soil 10262 nutrients and cassava yield variations showed significant contributions 10263 of total N (P = 0.05), exchangeable Ca. (P = 0.01), and Mg (P = 0.001). 10264 Thus, adequate management of these soil factors is required to enhance 10265 the performance of cassava in the crop mixtures. 10266 C1 Univ Nigeria, Dept Soil Sci, Nsukka, Nigeria. 10267 IITA, Ibadan, Nigeria. 10268 RP Asadu, CLA, Univ Nigeria, Dept Soil Sci, Nsukka, Nigeria. 10269 CR *FAO, 1998, WORLD SOIL RES REP A, V1 10270 *IITA, 1984, FARM SYST PROGR RES 10271 *USDA SCS, 1974, DEF ABBR SOIL DESC 10272 ANDREW DJ, 1972, EXPT AGR, V13, P139 10273 ASADU CLA, 1990, SOIL SCI, V150, P527 10274 ASADU CLA, 1997, TROP AGR, V74, P308 10275 ASADU CLA, 1998, THESIS U NIGERIA 10276 ASADU CLA, 1999, 18 IITA 10277 BRAY RH, 1945, SOIL SCI, V59, P39 10278 BREMNER JM, 1965, METHODS SOIL ANAL S 10279 ENWEZOR WO, 1989, FERTILIZER USE MANAG, V2 10280 FINLAY RC, 1974, P REG SOYB C 10281 HOWELER R, 1996, P WORKSH MIN DIS ROO, P110 10282 KANTOR S, 1999, INTERCROPPING AGR NA, V531, P1 10283 LANDON JR, 1991, HDB SOIL SURVEY AGR 10284 MEREDITH RN, 1965, REV RESPONSES FERTIL 10285 METSON AJ, 1961, NEW ZEALAND DSIR SOI, V12 10286 NNODU EC, 1995, ROOT CROPS POVERTY A, P207 10287 NWEKE FI, 1994, 10 COSCA INT I TROP 10288 OKIGBO BN, 1978, OCCASIONAL PUBLICATI 10289 OKORJI EC, 1986, AGR SYST, V22, P231 10290 WALKLEY A, 1934, SOIL SCI, V37, P29 10291 NR 22 10292 TC 0 10293 PU TROPICAL AGRICULTURE 10294 PI ST AUGUSTINE 10295 PA UNIV WEST INDIES, FAC OF AGRICULTURE,, ST AUGUSTINE, TRINID & TOBAGO 10296 SN 0041-3216 10297 J9 TROP AGR 10298 JI Trop. Agric. 10299 PD JAN-APR 10300 PY 2005 10301 VL 82 10302 IS 1-2 10303 BP 1 10304 EP 7 10305 PG 7 10306 SC Agriculture, Multidisciplinary 10307 GA 203PK 10308 UT ISI:000248986300001 10309 ER 10310 10311 PT J 10312 AU Ndegwa, JM 10313 Mead, R 10314 Norrish, P 10315 Shephered, DD 10316 Kirnani, CW 10317 Wachira, AM 10318 AF Ndegwa, J. M. 10319 Mead, R. 10320 Norrish, P. 10321 Shephered, D. D. 10322 Kirnani, C. W. 10323 Wachira, A. M. 10324 TI Growth characteristics of indigenous chicken lines and a cross with 10325 Rhode Island Red in Kenya 10326 SO TROPICAL AGRICULTURE 10327 LA English 10328 DT Article 10329 DE indigenous chicken lines; growth characteristics; growth models; 10330 non-linear regression 10331 AB A study was conducted at the Kenya Agricultural Research Institute's 10332 National Animal Husbandry Research Centre, Naivasha, Kenya, to 10333 characterize the growth pattern of three parental lines of local 10334 chicken, Nyeri, Kericho, Taita, and a cross of Rhode Island Red with 10335 Nyeri. A total of 468 straight-run day-old chicks was used. Feed and 10336 water were provided ad libitum and the birds weighed individually on a 10337 weekly basis for 20 weeks. A non-linear growth model (Gompertz) was 10338 used to analyze the collected data which was summarized in three 10339 parameters, A, B, and K for both male and female birds. A statistical 10340 analysis of residuals was carried out to determine the best-fitted 10341 model. The pattern of growth showed little difference between the sexes 10342 up to the age of about 10 weeks, before the male birds started to gain 10343 more weight than the females in subsequent weeks. The male birds 10344 attained higher final (asymptotic) weight A than their female 10345 counterparts, although they both had similar initial weight (log A-B). 10346 The female birds had higher values of K (constant of rate of growth) 10347 which resulted in earlier maturation. The Nyeri line was superior to 10348 other indigenous tines. The Taita males were slightly larger than those 10349 of Kericho, but the latter's females exhibited better values than the 10350 former. Crossing indigenous chicken with a dual-purpose exotic breed 10351 improved growth performance under station management. For both male and 10352 female birds, a fitted model with constant B and K and varying A was 10353 found to be acceptable. 10354 C1 Univ Reading, IRDD, Reading RG6 6AR, Berks, England. 10355 Sch Appl Stat, Reading RG6 6AR, Berks, England. 10356 Natl Anim Husb Res Ctr, Kenya Agr Res Inst, Naivasha, Kenya. 10357 RP Ndegwa, JM, Univ Reading, IRDD, POB 237, Reading RG6 6AR, Berks, 10358 England. 10359 CR *AOAC, 1990, OFF METH AN, P1 10360 *MOALD M, 1993, ANN REP, P1 10361 *MOLD, 1990, ANN REP 10362 *SAS I INC, 1985, SAS US GUID STAT VER, P575 10363 ADAM CL, 1988, ANIM PROD, V46, P131 10364 BERTALANFFY L, 1936, HUM BIOL, V10, P181 10365 BOORMAN KN, BRIT SCI POULTRY LTD, P89 10366 BRODY S, 1945, BIOENERGETICS GROWTH, P485 10367 BROWN D, 1993, MODELS BIOL MATH STA, P44 10368 CAUSTON DR, 1983, BIOL BASIC MATH, P178 10369 IBE SN, 1990, P INT WORKSH RUR POU 10370 LAWRENCE TLJ, 1997, GROWTH FARM ANIMALS 10371 MBUGUA PN, 1990, P SEM SMALLH RUR POU, P113 10372 MEAD R, 2003, STAT METHODS AGR EXP, P274 10373 MUSHARAF AN, 1990, P INT WORKSH RUR POU 10374 NDEGWA JM, 1994, P 2 POUL RES PRIOR S 10375 NDEGWA JM, 1997, P 5 KARI SCI C OCT 1, P511 10376 NDEGWA JM, 1998, INT COURS INT POULT 10377 NDEGWA JM, 1998, P RUR POULTR PROD WO 10378 NDEGWA JM, 1999, P 6 KENY AGR RES I S 10379 NDEGWA JM, 2000, P S INT NMETW FAM PO, V11 10380 NDEGWA JM, 2001, INT COMM DEV C ROT 10381 NDEGWA JM, 2001, TROP ANIM HEALTH PRO, V33, P441 10382 NDEGWA JM, 2002, TROP AGR, V79, P36 10383 NDEGWA JM, 2005, THESIS U READING 10384 RATKOWSKY DA, 1989, HDB NONLINEAR REGRES 10385 SHAW R, 1998, OUR PROBLEMS OUR SOL 10386 STOTZ D, 1983, FARM MANAGEMENT HDB, V4, P95 10387 TUITOEK JK, 1999, P 6 KENY AGR RES I S, P1 10388 WILSON BJ, 1977, GROWTH POULTRY MEAT, P89 10389 NR 30 10390 TC 0 10391 PU TROPICAL AGRICULTURE 10392 PI ST AUGUSTINE 10393 PA UNIV WEST INDIES, FAC OF AGRICULTURE,, ST AUGUSTINE, TRINID & TOBAGO 10394 SN 0041-3216 10395 J9 TROP AGR 10396 JI Trop. Agric. 10397 PD JAN-APR 10398 PY 2005 10399 VL 82 10400 IS 1-2 10401 BP 51 10402 EP 58 10403 PG 8 10404 SC Agriculture, Multidisciplinary 10405 GA 203PK 10406 UT ISI:000248986300008 10407 ER 10408 10409 PT J 10410 AU Seto, Y 10411 Kanamori-Kataoka, M 10412 Tsuge, K 10413 Ohsawa, I 10414 Maruko, H 10415 Sekiguchi, H 10416 Sano, Y 10417 Yamashiro, S 10418 Matsushita, K 10419 Sekiguchi, H 10420 Itoi, T 10421 Iura, K 10422 AF Seto, Yasuo 10423 Kanamori-Kataoka, Mieko 10424 Tsuge, Kouichiro 10425 Ohsawa, Isaac 10426 Maruko, Hisashi 10427 Sekiguchi, Hiroshi 10428 Sano, Yasuhiro 10429 Yamashiro, Shigeharu 10430 Matsushita, Koji 10431 Sekiguchi, Hiroyuki 10432 Itoi, Teruo 10433 Iura, Kazumitsu 10434 TI Development of an on-site detection method for chemical and biological 10435 warfare agents 10436 SO TOXIN REVIEWS 10437 LA English 10438 DT Article 10439 DE chemical warfare agents; biological warfare agent; on-site; detection; 10440 detection performance 10441 ID INFECTIOUS-DISEASE; IDENTIFICATION; PERFORMANCE; MANAGEMENT 10442 AB We evaluated commercially available, portable, on-site equipment for 10443 chemical warfare agent detection (a gas detection tube, ion mobility 10444 spectrometer, surface acoustic wavelength detector flame photometric 10445 detector, photoionization detector Fourier-transformed infrared 10446 spectrometer and a gas chromatograph-mass spectrometer) using 10447 authentic, vaporized chemical-warfare agents from the standpoint of 10448 their qualitative detection characteristics, detection limits, response 10449 times, frequency of false alarms and residubility on the devices. False 10450 alarms and the strong adsorption of agents by the devices are typical 10451 drawbacks of such equipment. As a screening method for biological 10452 warfare agents, on-site methods using flow cytometry, bioluminescence 10453 assay, and lateral flow immunoassay were developed. 10454 C1 Natl Res Inst Police Sci, Chiba 9770882, Japan. 10455 RP Seto, Y, Natl Res Inst Police Sci, Chiba 9770882, Japan. 10456 EM seto@nrips.gojp 10457 CR *ORG PROB CHEM WEA, CHEM WEAP CONV 10458 COTTINGHAM K, 2003, ANAL CHEM, V75, A435 10459 FANNEY R, 2003, JANES CHE BIO HDB 10460 FITTCH JP, 2003, SCIENCE, V302, P1350 10461 FRANZ DR, 1997, JAMA-J AM MED ASSOC, V278, P399 10462 FRISCHKNECHT F, 2003, EMBO REP, V4, S47 10463 FUJINAMI Y, 2004, J HEALTH SCI, V50, P126 10464 HARRIS CM, 2003, ANAL CHEM, V75, A355 10465 HIRAOKA Y, 2002, APPL ENVIRON MICROB, V68, P2031 10466 INGLESBY TV, 2002, JAMA-J AM MED ASSOC, V287, P2236 10467 ITOI T, 2004, JAP J SCI TECHNOL ID, V9, P9 10468 IURA K, 2004, JPN J FORENSIC TOXIC, V22, P13 10469 IVNITSKI D, 2003, BIOTECHNIQUES, V35, P862 10470 MARUKO H, 2006, BUNSEKI KAGAKU, V55, P191 10471 MATSUSHITA K, 2005, BUNSEKI KAGAKU, V54, P83 10472 MUKHOPADHYAY R, 2004, ANAL CHEM, V76, A69 10473 PERUSKI AH, 2003, CLIN DIAGN LAB IMMUN, V10, P506 10474 SCOLA BL, 2003, J CLIN MICROBIOL, V41, P524 10475 SEKIGUCHI H, 2006, FORENSIC TOXICOL, V24, P17 10476 SETO Y, 2000, NATURAL SELECTED SYN, P318 10477 SETO Y, 2004, JPN J SCI TECH IDEN, V9, P39 10478 SETO Y, 2005, SENSOR ACTUAT B-CHEM, V108, P193 10479 SOMANI SM, 1992, CHEM WARFARE AGENTS 10480 STEWART CE, 1992, MAT TOXICOLOGY CLIN 10481 STOPA PJ, 1999, FIELD ANAL CHEM TECH, V3, P283 10482 TSUGE K, 2005, JPN J FORENSIC TOXIC, V23, P18 10483 NR 26 10484 TC 0 10485 PU TAYLOR & FRANCIS INC 10486 PI PHILADELPHIA 10487 PA 325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA 10488 SN 1556-9543 10489 J9 TOXIN REV 10490 JI Toxin Rev. 10491 PY 2007 10492 VL 26 10493 IS 3 10494 BP 299 10495 EP 312 10496 PG 14 10497 SC Toxicology 10498 GA 207JN 10499 UT ISI:000249247500003 10500 ER 10501 10502 PT J 10503 AU De Nicola, R 10504 Katoen, JP 10505 Latella, D 10506 Loreti, M 10507 Massink, M 10508 AF De Nicola, Rocco 10509 Katoen, Joost-Pieter 10510 Latella, Diego 10511 Loreti, Michele 10512 Massink, Mieke 10513 TI Model checking mobile stochastic logic 10514 SO THEORETICAL COMPUTER SCIENCE 10515 LA English 10516 DT Article 10517 DE stochastic process algebra; mobility; global computing; stochastic 10518 logics; stochastic model-checking 10519 ID PROCESS ALGEBRA; SYSTEMS; SPECIFICATION; PERFORMANCE 10520 AB The Temporal Mobile Stochastic Logic (MoSL) has been introduced in 10521 previous work by the authors for formulating properties of systems 10522 specified in SToKLAIM, a Markovian extension of KLAIM. The main purpose 10523 of MOSL is to address key functional aspects of global computing such 10524 as distribution awareness, mobility, and security and their integration 10525 with performance and dependability guarantees. In this paper, we 10526 present MoSL+, an extension of MOSL, which incorporates some basic 10527 features of the Modal Logic for Mobility (MOMO), a logic specifically 10528 designed for dealing with resource management and mobility aspects of 10529 concurrent behaviours. We also show how MOSL+ formulae can be 10530 model-checked against STOKLAIM specifications. For this purpose, we 10531 show how existing state-based stochastic model-checkers, like e.g. the 10532 Markov Reward Model Checker (MRMC), can be exploited by using a 10533 front-end for STOKLAIM that performs appropriate pre-processing of 10534 MOSL+ formulae. The proposed approach is illustrated by modelling and 10535 verifying a sample system. (C) 2007 Elsevier B.V All rights reserved. 10536 C1 Univ Florence, Dipartimento Sistemi & Informat, I-50134 Florence, Italy. 10537 Rhein Westfal TH Aachen Univ, Aachen, Germany. 10538 CNR, ISTI, I-56100 Pisa, Italy. 10539 RP Loreti, M, Univ Florence, Dipartimento Sistemi & Informat, Viale 10540 Morgagni 65, I-50134 Florence, Italy. 10541 EM loreti@dsi.unifi.it 10542 CR ALUR R, 1994, THEOR COMPUT SCI, V126, P183 10543 AZIZ A, 1995, LECT NOTES COMPUT SC, V939, P155 10544 AZIZ A, 2000, ACM T COMPUT LOG, V1, P162 10545 BAIER C, 1999, LECT NOTES COMPUT SC, V1664, P146 10546 BAIER C, 2004, 2004 INT C DEP SYST, P701 10547 BETTINI L, 2002, LECT NOTES COMPUT SC, V2315, P72 10548 BETTINI L, 2003, LECT NOTES COMPUT SC, V2874, P88 10549 BIANCO A, 1995, LECT NOTES COMPUTER, V1026, P499 10550 BOUDOL G, 2004, LECT NOTES COMPUT SC, V2986, P234 10551 CAIRES L, 2003, INFORM COMPUT, V186, P194 10552 CARDELLI L, 1995, 22 ACM S PRINC PROGR, P286 10553 CARDELLI L, 1999, LNCS, V1603, P51 10554 CARDELLI L, 2000, 27 ACM S PRINC PROGR, P365 10555 CASTAGNA G, 1999, LNCS, V1686, P47 10556 DEALFARO L, 1997, LECT NOTES COMPUT SC, V1200, P165 10557 DENICOLA R, 1990, LECT NOTES COMPUT SC, V469, P407 10558 DENICOLA R, 2004, ACM T COMPUTATINAL L, V5, P79 10559 DENICOLA R, 2005, LNCA, V3657 10560 DENICOLA R, 2005, P SAC 05, P428 10561 DENICOLA R, 2006, KLAIM ITS STOCHASTIC 10562 DENICOLA R, 2006, MOSL STOCHASTIC LOGI 10563 DENICOLA R, 2006, P 3 WORKSH QUANT ASP, V153, P161 10564 FANTECHI A, 1991, FORMAL DESCRIPTION T 10565 FERRARI GL, 2003, ACM T SOFTW ENG METH, V12, P440 10566 HANSSON H, 1994, FORM ASP COMPUT, V6, P512 10567 HART S, 1984, 16TH P ACM S THEOR C, P1 10568 HERMANNS H, 2000, IMMD7200 U NUERNB 10569 HERMANNS H, 2000, LECT NOTES COMPUT SC, V1945, P420 10570 HERMANNS H, 2002, THEOR COMPUT SCI, V274, P43 10571 HERMANNS H, 2003, INT J SOFTWARE TOOLS, V4, P253 10572 HILLSTON J, 2005, IEEE S LOG, P239 10573 KATOEN JP, 2005, 2 INT C QUANT EV SYS, P243 10574 KULKARNI V, 1995, MODELING ANAL STOCHA 10575 KWIATKOWSKA M, 2004, INT J SOFTWARE TOOLS, V6, P128 10576 MERZ S, 2003, LECT NOTES COMPUT SC, V2621, P87 10577 NR 35 10578 TC 0 10579 PU ELSEVIER SCIENCE BV 10580 PI AMSTERDAM 10581 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 10582 SN 0304-3975 10583 J9 THEOR COMPUT SCI 10584 JI Theor. Comput. Sci. 10585 PD AUG 28 10586 PY 2007 10587 VL 382 10588 IS 1 10589 BP 42 10590 EP 70 10591 PG 29 10592 SC Computer Science, Theory & Methods 10593 GA 205IO 10594 UT ISI:000249107400004 10595 ER 10596 10597 PT J 10598 AU Muaidi, QI 10599 Nicholson, LL 10600 Refshauge, KM 10601 Herbert, RD 10602 Maher, CG 10603 AF Muaidi, Qassim I. 10604 Nicholson, Leslie L. 10605 Refshauge, Kathryn M. 10606 Herbert, Robert D. 10607 Maher, Christopher G. 10608 TI Prognosis of conservatively managed anterior Cruciate ligament injury - 10609 A systematic review 10610 SO SPORTS MEDICINE 10611 LA English 10612 DT Article 10613 ID TERM FOLLOW-UP; KNEE SCORING QUESTIONNAIRES; NONOPERATIVE TREATMENT; 10614 NATURAL-HISTORY; FUNCTIONAL DISABILITY; DEFICIENT KNEES; 10615 CLINICAL-TRIALS; QUALITY SCORES; TREATED TEARS; ACUTE RUPTURE 10616 AB Anterior cruciate ligament (ACL) rupture is a common sporting injury, 10617 often managed surgically with patella-tendon or hamstrings-gracilis 10618 autograft. Some people who sustain the injury, request information 10619 about their prognosis if they choose to forgo surgery and opt for 10620 conservative management. Numerous studies provide data on the prognosis 10621 of conservatively managed ACL injuries. These studies have not been 10622 systematically reviewed. Thus, the aims of this systematic review are 10623 to describe the natural history and clinical course of function and 10624 proprioception in the conservatively managed ACL-deficient knee, and to 10625 identify prognostic factors. We searched MEDLINE, CINAHL, EMBASE, 10626 SportDiscus, PEDro and the Cochrane Central Register of Clinical Trials 10627 without language restrictions from the earliest record available up to 10628 July 2006. We also searched the Science Citation Index, and iteratively 10629 searched bibliographies for prospective studies of outcomes (> 6 months 10630 follow-up) of conservatively managed complete ACL tears. Six criteria 10631 were used to assess the methodological quality of included studies. The 10632 main outcome measures were self-reported measures of knee function, 10633 activity level, performance in functional tasks and knee 10634 proprioception. Fifteen studies of variable methodological quality were 10635 included in the review. On average, patients with mixed or isolated 10636 ACL-deficient knees reported good knee function (87/100 Lysholm knee 10637 scale) at follow-up duration of 12-66 months. On average, functional 10638 performance assessed with the hop-for-distance test, was in the normal 10639 range. From pre-injury to follow-up there was a reduction in Tegner 10640 activity level of 21.3%. According to the methods used in the assessed 10641 studies, conservatively managed ACL-deficient knees have a good short- 10642 to mid-term prognosis in terms of self-reported knee function and 10643 functional performance. However, subjects reduced their activity levels 10644 on average by 21% following injury. 10645 C1 Univ Sydney, Sch Physiotherapy, Fac Hlth Sci, Sydney, NSW 2006, Australia. 10646 RP Muaidi, QI, Univ Sydney, Sch Physiotherapy, Fac Hlth Sci, POB 170, 10647 Lidcombe, NSW 1825, Australia. 10648 EM qmua0120@mail.usyd.edu.au 10649 CR AGEBERG E, 2001, J ORTHOP SPORT PHYS, V31, P632 10650 ALTMAN DG, 2001, BRIT MED J, V323, P224 10651 ANDERSON AF, 1993, AM J KNEE SURG, V6, P67 10652 ANDERSSON C, 1989, J BONE JOINT SURG AM, V71, P965 10653 ANDERSSON C, 1991, CLIN ORTHOP RELAT R, V264, P255 10654 BARBER SD, 1990, CLIN ORTHOP RELAT R, P204 10655 BENGTSSON J, 1996, KNEE SURG SPORT TR A, V4, P27 10656 BOLLEN S, 1991, AM J SPORT MED, V19, P189 10657 BORSA PA, 1998, J SPORT REHABIL, V7, P44 10658 BUSS DD, 1995, AM J SPORT MED, V23, P160 10659 CLANCY WG, 1988, J BONE JOINT SURG AM, V70, P1483 10660 DANIEL DM, 1994, AM J SPORT MED, V22, P632 10661 DELGADORODRIGUE.M, 1995, YAC SANIT, V9, P265 10662 DEMIRDJIAN AM, 1998, AM J SPORT MED, V26, P46 10663 DERSIMONIAN R, 1986, CONTROL CLIN TRIALS, V7, P177 10664 DRONGOWSKI RA, 1994, ARTHROSCOPY, V10, P97 10665 EMERSON JD, 1990, CONTROL CLIN TRIALS, V11, P339 10666 ENGEBRETSEN L, 1990, J ORTHOP TRAUMA, V4, P406 10667 ENGSTROM B, 1993, INT ORTHOP, V17, P208 10668 FEAGIN JA, 1976, AM J SPORTS MED, V4, P95 10669 FETTO JF, 1980, CLIN ORTHOP RELAT R, P29 10670 FITZGERALD GK, 2000, KNEE SURG SPORT TR A, V8, P76 10671 FRIDEN T, 1997, J ORTHOPAED RES, V15, P637 10672 FUNK FJ, 1983, CLIN ORTHOP RELAT R, V172, P154 10673 GAUFFIN H, 1990, INT J SPORTS MED, V11, P73 10674 GREENLAND S, 1994, AM J EPIDEMIOL, V140, P300 10675 GRIFFIN LY, 2000, J AM ACAD ORTHOP SUR, V8, P141 10676 GROB KR, 2002, J BONE JOINT SURG B, V84, P614 10677 HUSTON LJ, 2000, CLIN ORTHOP RELA MAR, P50 10678 IRVINE GB, 1992, J BONE JOINT SURG BR, V74, P403 10679 KANNUS P, 1987, J BONE JOINT SURG AM, V69, P1007 10680 KOCHER MS, 2004, J BONE JOINT SURG A, V86, P1139 10681 MARX RG, 2001, J BONE JOINT SURG A, V83, P1459 10682 MCDANIEL WJ, 1980, J BONE JOINT SURG AM, V62, P696 10683 MCDANIEL WJ, 1983, CLIN ORTHOP RELAT R, P158 10684 NEUSEL E, 1996, ARCH ORTHOP TRAUM SU, V115, P332 10685 NOYES FR, 1983, J BONE JOINT SURG AM, V65, P163 10686 NOYES FR, 1985, ORTHOP CLIN N AM, V16, P47 10687 NOYES FR, 1991, AM J SPORT MED, V19, P513 10688 ODENSTEN M, 1985, CLIN ORTHOP RELAT R, P87 10689 PATTEE GA, 1989, AM J SPORT MED, V17, P430 10690 PENGEL LHM, 2003, BRIT MED J, V327, P323 10691 RISBERG MA, 1999, KNEE SURG SPORT TR A, V7, P152 10692 ROBERTS D, 2004, ACTA ORTHOP SCAND, V75, P78 10693 SANDBERG R, 1987, J BONE JOINT SURG AM, V69, P1120 10694 SCHULZ KF, 1995, JAMA-J AM MED ASSOC, V273, P408 10695 SHIRAKURA K, 1995, CLIN ORTHOP RELAT R, V317, P227 10696 SHIRAKURA K, 1995, KNEE SURG SPORT TR A, V3, P62 10697 SWIRTUN LR, 2005, CLIN J SPORT MED, V15, P299 10698 TEGNER Y, 1985, CLIN ORTHOP RELAT R, P43 10699 ZATTERSTROM R, 2000, SCAND J MED SCI SPOR, V10, P156 10700 NR 51 10701 TC 0 10702 PU ADIS INT LTD 10703 PI AUCKLAND 10704 PA 41 CENTORIAN DR, PRIVATE BAG 65901, MAIRANGI BAY, AUCKLAND 1311, NEW 10705 ZEALAND 10706 SN 0112-1642 10707 J9 SPORT MED 10708 JI Sports Med. 10709 PY 2007 10710 VL 37 10711 IS 8 10712 BP 703 10713 EP 716 10714 PG 14 10715 SC Sport Sciences 10716 GA 204IC 10717 UT ISI:000249036200004 10718 ER 10719 10720 PT J 10721 AU Wylde, JJ 10722 Williams, GDM 10723 Careil, F 10724 AF Wylde, J. J. 10725 Williams, G. D. M. 10726 Careil, F. 10727 TI Innovative, integrated, and cost-effective chemical management on the 10728 Miller platform 10729 SO SPE PRODUCTION & OPERATIONS 10730 LA English 10731 DT Article 10732 AB The BP-operated Miller Field poses a unique chemical challenge as it 10733 has. arguably, the harshest oilfield scaling regime in the North Sea, 10734 if not the world. Some 3 million litres of chemical are consumed each 10735 year and the management, supply, use, and performance of every aliquot 10736 of chemical is imperative to see Miller through to its planned 10737 cessation of production. 10738 The Miller Field is a mature North Sea asset and produces a potential 10739 of 80,000 BWPD with its 16,000 BOPD. The unique challenge posed by 10740 Miller is that the produced water contains very high concentrations of 10741 scale-forming components combined with a very high corrosivity 10742 potential. Chemicals are routinely deployed to control scale, 10743 corrosion, emulsions, foam, biological fouling, and hydrates. 10744 Two major step changes have occurred in the past 12 months that have 10745 delivered significant improvement to chemical management processes. The 10746 first step is the use of a novel, best-in-class, scale-inhibitor 10747 chemistry. Two years were spent in an industry-wide search as well as 10748 developing and extensively testing the chemical in the laboratory. The 10749 new chemical is now deployed on more than 75% of the Miller wells. The 10750 longevity of scale-prevention treatments has been doubled on some wells 10751 when compared to the incumbent products. 10752 The second step change was the application of innovative relative 10753 permeability modifier chemistries that not only increase oil production 10754 but actually shut off water production. Cross-linked polymer gels are 10755 pumped down wells and inflate in the presence of water. effectively 10756 blocking the flow path, but deflate in the presence of oil, allowing 10757 flow. 10758 By implementing these changes, significant steps have been taken toward 10759 ensuring that continuation of production to the proposed cessation of 10760 production remains a viable proposition. 10761 C1 Clariant Oil Serv N Amer, Kuala Lumpur, Malaysia. 10762 RP Wylde, JJ, Clariant Oil Serv N Amer, Kuala Lumpur, Malaysia. 10763 CR ALSHARJI HH, 1999, SPE ANN TECHN C EXH 10764 CORDOVA M, 2002, SPE DOE IMPR OIL REC 10765 MORGAN J, 2002, SPE AB DHAB INT PETR 10766 POYNTON N, 2004, SPE INT S OILF SCAL 10767 WILLIAMS G, 2005, 16 INT OILF CHEM S G 10768 WYLDE JJ, 2005, SPE INT S OILF SCAL 10769 WYLDE JJ, 2006, SPE PROD OPER, V21, P188 10770 NR 7 10771 TC 0 10772 PU SOC PETROLEUM ENG 10773 PI RICHARDSON 10774 PA 222 PALISADES CREEK DR,, RICHARDSON, TX 75080 USA 10775 SN 1930-1855 10776 J9 SPE PROD OPER 10777 JI SPE Prod. Oper. 10778 PD AUG 10779 PY 2007 10780 VL 22 10781 IS 3 10782 BP 301 10783 EP 306 10784 PG 6 10785 SC Engineering, Petroleum 10786 GA 204JX 10787 UT ISI:000249041000004 10788 ER 10789 10790 PT J 10791 AU Fleming, N 10792 Ramstad, K 10793 Eriksen, SH 10794 Moldrheim, E 10795 Johansen, TR 10796 AF Fleming, Niall 10797 Ramstad, Kari 10798 Eriksen, Synnove H. 10799 Moldrheim, Erlend 10800 Johansen, Thomas Rudberg 10801 TI Development and implementation of a scale-management strategy for 10802 Oseberg Sor 10803 SO SPE PRODUCTION & OPERATIONS 10804 LA English 10805 DT Article 10806 AB Oseberg Sor field, operated by Hydro Oil & Energy, is situated 130 km 10807 west of the Norwegian coast on the eastern flank of the Viking Graben 10808 structure. It comprises a sequence of fault-bounded structural units of 10809 varying geological complexity. Within these units, the reservoir 10810 intervals are of moderate to poor quality and can exhibit strong 10811 contrasts in permeability and formation water composition. Reservoir 10812 support is provided by combined injection of gas and Utsira aquifer 10813 water. The wells are a combination of platform and subsea and comprise 10814 extended reach horizontals with complex geometry and lesser numbers of 10815 vertical wells. 10816 Detailed scale predictions have been performed to identify the scaling 10817 risk for each producer. From these, it was identified that the major 10818 risk to well performance and integrity was CaCO3 precipitation in the 10819 upper tubing with potential failure of the downhole safety valve. The 10820 risk varied from negligible to severe and reflected the variable 10821 composition of the produced water and well operating conditions. The 10822 scale predictions provided the basis for a technical and economic 10823 evaluation to identify an appropriate scale-management strategy for 10824 Oseberg Sor. For those wells completed with downhole chemical injection 10825 lines, the option to use these for scale inhibition was considered cost 10826 effective. In other wells where this option was not available, scale 10827 inhibitor injection into the gas lift system or squeezing using a 10828 viscosified treatment was considered viable. 10829 The paper will provide the technical and economic reasoning for the 10830 scale-management strategy selected along with field case histories for 10831 each treatment type (i.e., experience with treatment using chemical 10832 injection lines, injection of scale inhibitor into the,gas lift system, 10833 and squeezing). 10834 CR *MULTISCALE, 2004, COMP PROGR PRED MIN 10835 *PROS, 2005, WELL PERF DES OPT PR 10836 BORENG R, 1999, SPE INT S OILF CHEM 10837 FLEMING N, 2003, SPE INT S OILF SCAL 10838 HINRICHSEN CJ, 1998, IBC 4 INT C ADV SOLV 10839 JAMES JS, 2005, SPE INT S OILF SCAL 10840 KAASA B, 2000, SPE INT S OILF SCAL 10841 LEWIS DR, 2003, SPE MIDDL E OIL SHOW 10842 LIEN SC, 1998, SPE EUR PETR C HAG 2 10843 OSA K, 2001, NIF 12 INT OIL FIELD 10844 RAMSTAD K, 2005, SPE J, V10, P363 10845 STALKER R, 2006, SPE INT OILF SCAL S 10846 NR 12 10847 TC 0 10848 PU SOC PETROLEUM ENG 10849 PI RICHARDSON 10850 PA 222 PALISADES CREEK DR,, RICHARDSON, TX 75080 USA 10851 SN 1930-1855 10852 J9 SPE PROD OPER 10853 JI SPE Prod. Oper. 10854 PD AUG 10855 PY 2007 10856 VL 22 10857 IS 3 10858 BP 307 10859 EP 317 10860 PG 11 10861 SC Engineering, Petroleum 10862 GA 204JX 10863 UT ISI:000249041000005 10864 ER 10865 10866 PT J 10867 AU Snyman, MA 10868 AF Snyman, M. A. 10869 TI Body weight and growth rate of South African Angora goat kids under 10870 different pre- and post-weaning management systems 10871 SO SOUTH AFRICAN JOURNAL OF ANIMAL SCIENCE 10872 LA English 10873 DT Article 10874 DE angora goats; growth rate; reproduction 10875 ID GENETIC-PARAMETERS; FLEECE TRAITS; PERFORMANCE; SUPPLEMENTATION; MOHAIR 10876 AB The data used for this study were collected on 16 644 kids born between 10877 2000 and 2004 in 12 different Angora goat studs representing different 10878 management systems. Body weight and growth rate of kids from birth to 10879 16 months of age, as well the 18- and 21-month body weights and first 10880 kidding performance of ewe kids were evaluated. Variable growth rates 10881 were recorded among kids in the different studs, which can be ascribed 10882 largely to different environments and supplementary feeding practices. 10883 The pre-weaning growth performance of both ram and ewe kids was 10884 satisfactory. However, the same did not apply for post-weaning growth 10885 rates. In those flocks where kids did not receive any supplementary 10886 feeding after weaning, their body weights remained virtually constant 10887 from weaning up to eight months of age. This phenomenon where 10888 especially ewe kids did not grow well after weaning, needs to be 10889 investigated further, since it influences the reproductive ability of 10890 young ewes directly. This was evident from the poor reproductive 10891 performance of young ewes in some of the studs. On the other hand, the 10892 effect of different pre-weaning treatments did not seem to be carried 10893 over to body weight and reproductive performance at first kidding age. 10894 C1 Grootfontein Agr Dev Inst, ZA-5900 Middleburg, EC, South Africa. 10895 RP Snyman, MA, Grootfontein Agr Dev Inst, Private Bag X529, ZA-5900 10896 Middleburg, EC, South Africa. 10897 EM grethasn@nda.agric.za 10898 CR *SAS I INC, 2004, SAS PROC GUID VERS 9 10899 ACOCKS JPH, 1988, MEMOIRS BOT SURVEY S, P65 10900 ALLDEN WG, 1968, AUSTR J AGR RES, V19, P621 10901 GERSTMAYR S, 1995, SMALL RUMINANT RES, V16, P141 10902 GIFFORD DR, 1991, SMALL RUMINANT RES, V4, P293 10903 GOETSCH AL, 2002, J APPL ANIM RES, V21, P25 10904 GREGOIRE RJ, 1996, SMALL RUMINANT RES, V19, P121 10905 GUNN RG, 1977, ANIM PROD, V25, P155 10906 GUNN RG, 1983, SHEEP PRODUCTION, P99 10907 HUSTON JE, 1993, J ANIM SCI, V71, P3124 10908 MCGREGOR BA, 1998, SMALL RUMINANT RES, V28, P199 10909 MOHRANDFEHR P, 2005, SMALL RUMINANT RES, V60, P25 10910 NICOLL GB, 1985, P NZ SOC ANIM PROD, V45, P217 10911 NICOLL GB, 1989, P NZ SOC ANIM PROD, V49, P183 10912 REARDON TF, 1966, P AUSTR SOC ANIMAL P, V6, P106 10913 SNYMAN MA, 1996, LIVEST PROD SCI, V47, P1 10914 SNYMAN MA, 1999, SMALL RUMINANT RES, V34, P103 10915 VANDERWESTHUIZE.JM, 2004, ANGORA GOATS MOHAIR 10916 WILLIAMS AH, 1984, REPROD SHEEP, P272 10917 YALCIN BC, 1982, P 3 INT C GOAT PROD, P269 10918 NR 20 10919 TC 0 10920 PU SOUTH AFRICAN JOURNAL OF ANIMAL SCIENCES 10921 PI HATFIELD 10922 PA C/O ESTIE KOSTER, PO BOX 13884, HATFIELD 0028, SOUTH AFRICA 10923 SN 0375-1589 10924 J9 S AFR J ANIM SCI 10925 JI South Afr. J. Anim. Sci. 10926 PY 2007 10927 VL 37 10928 IS 2 10929 BP 132 10930 EP 141 10931 PG 10 10932 SC Agriculture, Dairy & Animal Science 10933 GA 205SM 10934 UT ISI:000249134900008 10935 ER 10936 10937 PT J 10938 AU Stefanakis, A 10939 Volanis, M 10940 Zoiopoulos, P 10941 Hadjigeorgiou, I 10942 AF Stefanakis, A. 10943 Volanis, M. 10944 Zoiopoulos, P. 10945 Hadjigeorgiou, I. 10946 TI Assessing the potential benefits of technical intervention in evolving 10947 the semi-intensive dairy-sheep farms in Crete 10948 SO SMALL RUMINANT RESEARCH 10949 LA English 10950 DT Article 10951 DE sheep systems; low-input systems; Sustainability; extension service; 10952 Greece 10953 ID CALIFORNIA MASTITIS TEST; TEST DAY RECORDS; LIVESTOCK SYSTEMS; GOAT 10954 MILK; SUSTAINABILITY; GREECE 10955 AB A survey was organized to study the semi-intensive system of sheep 10956 farming in the island of Crete and examine possibilities of improvement 10957 by means of technical intervention. Thirty-nine farms with a total 10958 number of 7362 sheep were studied in seven areas of Crete. Various 10959 parameters were assessed related to management, flock performance, as 10960 well as quantity and quality of milk produced. Ewe fertility, births 10961 and lambs weaned were recorded. In addition, milk yield and variables 10962 related to milk quality such as somatic cell counts and total microbial 10963 flora were measured. Technical intervention aimed at removing 10964 non-productive animals of the flock, programming matings, balancing 10965 rations, managing grazing more efficiently and preventing diseases. As 10966 a result, ewe fertility and numbers of lambs weaned were significantly 10967 improved, whereas harvested milk and milk quality were also improved. 10968 It is expected that information obtained from this study will enrich 10969 our knowledge of the dairy sheep farming systems in the Mediterranean 10970 countries and elsewhere. (c) 2006 Elsevier B.V. All rights reserved. 10971 C1 Agr Univ Athens, Fac Anim Prod, Athens 11855, Greece. 10972 NAGREF, Asomaton Stn Agr Res, Amari 74061, Crete, Greece. 10973 Univ Ioannina, Sch Management Nat Res Enterprises, Agrinion 30100, Greece. 10974 RP Hadjigeorgiou, I, Agr Univ Athens, Fac Anim Prod, 75 Iera Odos, Athens 10975 11855, Greece. 10976 EM ihadjig@aua.gr 10977 CR *STAT PLUS, 1995, US GUID VER 2 10978 BOURBOUZE A, 1995, GOAT PRODUCTION SYST, V71, P6 10979 BOYAZOGLU J, 2001, SMALL RUMINANT RES, V40, P1 10980 CABALLERO R, 2001, AGR SYST, V68, P215 10981 CABALLERO R, 2002, AGR HUMAN VALUES, V19, P63 10982 DELGADOPERTINEZ M, 2003, SMALL RUMINANT RES, V47, P5 10983 DERANCOURT M, 2006, SMALL RUMINANT RES, V62, P167 10984 GIBON A, 1999, LIVEST PROD SCI, V61, P107 10985 GIBON A, 1999, LIVEST PROD SCI, V61, P121 10986 HADJIGEORGIOU I, 2002, OPTIONS MEDITERRAN B, V39, P83 10987 HADJIGEORGIOU I, 2005, LIVEST PROD SCI, V96, P51 10988 HAENLEIN GFW, 2002, SMALL RUMINANT RES, V45, P163 10989 KOMINAKIS A, 2001, SMALL RUMINANT RES, V39, P209 10990 MCDOUGALL S, 2001, SMALL RUMINANT RES, V40, P245 10991 NARDONE A, 2004, LIVEST PROD SCI, V90, P27 10992 POUTREL B, 1983, J DAIRY SCI, V66, P2575 10993 RONCHI B, 2003, LIVEST PROD SCI, V80, P17 10994 RUBINO R, 1996, EAAP PUBLICATION, V77, P384 10995 VALLERAND F, 2001, OPTIONS MEDITERRAN A, V46, P189 10996 VOLANIS M, 2002, ARCH TIERZUCHT, V45, P69 10997 WRIGHT IA, 2002, EAAP PUBLICATION, V106, P27 10998 ZERVAS G, 1996, SMALL RUMINANT RES, V21, P11 10999 ZERVAS G, 1998, J APPL ECOL, V35, P983 11000 ZERVAS G, 1999, LIVEST PROD SCI, V61, P245 11001 NR 24 11002 TC 0 11003 PU ELSEVIER SCIENCE BV 11004 PI AMSTERDAM 11005 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 11006 SN 0921-4488 11007 J9 SMALL RUMINANT RES 11008 JI Small Ruminant Res. 11009 PD SEP 11010 PY 2007 11011 VL 72 11012 IS 1 11013 BP 66 11014 EP 72 11015 PG 7 11016 SC Agriculture, Dairy & Animal Science 11017 GA 205IB 11018 UT ISI:000249106100011 11019 ER 11020 11021 PT J 11022 AU Andreae, C 11023 Coady, Y 11024 Gibbs, C 11025 Noble, J 11026 Vitek, J 11027 Zhao, T 11028 AF Andreae, Chris 11029 Coady, Yvonne 11030 Gibbs, Celina 11031 Noble, James 11032 Vitek, Jan 11033 Zhao, Tian 11034 TI Scoped types and aspects for real-time Java memory management 11035 SO REAL-TIME SYSTEMS 11036 LA English 11037 DT Article 11038 DE real-time systems; Java virtual machine; memory management; ownership 11039 types 11040 AB Real-time systems are notoriously difficult to design and implement, 11041 and, as many real-time problems are safety-critical, their solutions 11042 must be reliable as well as efficient and correct. While higher-level 11043 programming models (such as the Real-Time Specification for Java) 11044 permit real-time programmers to use language features that most 11045 programmers take for granted (objects, type checking, dynamic dispatch, 11046 and memory safety) the compromises required for real-time execution, 11047 especially concerning memory allocation, can create as many problems as 11048 they solve. This paper presents Scoped Types and Aspects for Real-Time 11049 Systems (STARS) a novel programming model for real-time systems. Scoped 11050 Types give programmers a clear model of their programs' memory use, 11051 and, being statically checkable, prevent the run-time memory errors 11052 that bedevil the RTSJ. Adopting the integrated Scoped Types and Aspects 11053 approach can significantly improve both the quality and performance of 11054 a real-time Java systems, resulting in simpler systems that are 11055 reliable, efficient, and correct. 11056 C1 Purdue Univ, W Lafayette, IN 47907 USA. 11057 Victoria Univ Wellington, Wellington, New Zealand. 11058 Univ Wisconsin, Milwaukee, WI 53201 USA. 11059 Univ Victoria, Victoria, BC, Canada. 11060 RP Vitek, J, Purdue Univ, W Lafayette, IN 47907 USA. 11061 EM jv@cs.purdue.edu 11062 CR *HIJA, 2006, EUR HIGH INT JAV PRO 11063 ANDREAE C, 2006, P 21 ANN ACM SIGPLAN, P57 11064 ARMBUSTER A, 2006, ACM T EMBEDDED COMPU 11065 BACON DF, 2003, ACM SIGPLAN NOTICES, V38, P285 11066 BACON DF, 2003, WORKSH JAV TECHN REA, P466 11067 BAKER J, 2006, P 12 IEEE REAL TIM E 11068 BEEBEE WS, 2001, P 1 INT WOERKSH EMB 11069 BENOWITZ EG, 2003, WORKSH JAV TECHN REA, P497 11070 BOLLELLA G, 2000, REAL TIME SPECIFICAT 11071 BOLLELLA G, 2002, P 5 INT S OBJ OR REA 11072 BOLLELLA G, 2003, COMP 18 ANN ACM SIGP 11073 BOLLELLA G, 2005, 8 IEEE INT S OBJ OR, P45 11074 BOYAPATHI C, 2003, ACM C PROGR LANG DES 11075 BRACHA G, 1993, P ACM C OBJ OR PROGR 11076 BRACHA G, 2004, OOPSLA 2004 WORKSH R 11077 CARTWRIGHT R, 1991, P ACM SIGPLAN 91 C P, P278 11078 CHEREM S, 2004, P 4 INT S MEM MAN OC, P85 11079 CORSARO A, 2002, 4 INT S DISTR OBJ AP 11080 DETERS M, 2002, ISMM 02 P 3 INT S ME, P25 11081 DVORAK D, 2004, P IEEE INT S OBJ OR, P15 11082 GARBERVETSKY D, 2005, ELECT NOTES THEOR CO, V113, P105 11083 GROSSMAN D, 2002, ACM C PROGR LANG DES, P282 11084 HOGG J, 1991, P OOPSLA 91 C OBJ OR 11085 IGARASHI A, 2001, ACM T PROGR LANG SYS, V23, P396 11086 KICZALES G, 2001, LECT NOTES COMPUTER, V2072, P327 11087 KWON J, 2002, JOINT ACM JAV GRAND 11088 KWON J, 2004, LNCS, V3292, P33 11089 NAKHLI C, 2006, IMPLEMETATION COMPIL 11090 NIESSNER AF, 2003, WORKSH JAV TECHN REA, P508 11091 NOBLE J, 1998, P 12 EUR C OBJ OR PR 11092 NOBLE J, 2000, SMALL MEMORY SOFTWAR 11093 PIZLO F, 2004, P IEEE INT S OBJ OR 11094 SHARP DC, 2001, P 3 INT S DISTR OBJ, P3 11095 SHARP DC, 2003, P 9 IEEE REAL TIM TE, P30 11096 SPOONHOWER D, 2006, P C PROGRAMMING LANG, P283 11097 TSANG SL, 2004, 7 IEEE INT S OBJ OR, P291 11098 WANG NB, 2004, LECT NOTES COMPUT SC, V3291, P1520 11099 WELLINGS AJ, 2003, REAL-TIME SYST, V24, P319 11100 ZHAO T, 2004, P 25 IEEE INT REAL T 11101 ZHAO T, 2006, J FUNCT PROGRAM 1, V16, P83 11102 NR 40 11103 TC 0 11104 PU SPRINGER 11105 PI DORDRECHT 11106 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 11107 SN 0922-6443 11108 J9 REAL-TIME SYST 11109 JI Real-Time Syst. 11110 PD OCT 11111 PY 2007 11112 VL 37 11113 IS 1 11114 BP 1 11115 EP 44 11116 PG 44 11117 SC Computer Science, Theory & Methods 11118 GA 204BE 11119 UT ISI:000249017000001 11120 ER 11121 11122 PT J 11123 AU Taylor, CR 11124 Hepworth, JT 11125 Buerhaus, PI 11126 Dittus, R 11127 Speroff, T 11128 AF Taylor, Cathy R. 11129 Hepworth, Joseph T. 11130 Buerhaus, Peter I. 11131 Dittus, Robert 11132 Speroff, Theodore 11133 TI Effect of crew resource management on diabetes care and patient 11134 outcomes in an inner-city primary care clinic 11135 SO QUALITY & SAFETY IN HEALTH CARE 11136 LA English 11137 DT Article 11138 ID UNITED-STATES; HEALTH-CARE; QUALITY; RISK; COMPLICATIONS; SETTINGS 11139 AB Background: Diabetes care in our inner-city primary care clinic was 11140 suboptimal, despite provider education and performance feedback 11141 targeting improved adherence to evidence-based clinical guidelines. A 11142 crew resource management (CRM) intervention (communication and 11143 teamwork, process and workflow organisation, and standardised 11144 information debriefings) was implemented to improve diabetes care and 11145 patient outcomes. 11146 Objective: To assess the effect of the CRM intervention on adherence to 11147 evidence-based diabetes care standards, work processes, standardised 11148 clinical communication and patient outcomes. 11149 Methods: Time-series analysis was used to assess the effect on the 11150 delivery of standard diabetes services and patient outcomes among 11151 medically indigent adults (n = 619). 11152 Results: The CRM principles were translated into useful process 11153 redesign and standardised care approaches. Significant improvements in 11154 microalbumin testing and associated patient outcome measures were 11155 attributed to the intervention. 11156 Conclusions: The CRM approach provided tools for management that, in 11157 the short term, enabled reorganisation and prevention of service 11158 omissions and, in the long term, can produce change in the 11159 organisational culture for continuous improvement. 11160 C1 Vanderbilt Univ, Sch Nursing, Nashville, TN 37240 USA. 11161 Univ Arizona, Coll Nursing, Tucson, AZ 85721 USA. 11162 RP Taylor, CR, Vanderbilt Univ, Sch Nursing, 461 21st Ave S,316 Godchaux 11163 Hall, Nashville, TN 37240 USA. 11164 EM cathy.taylor@vanderbilt.edu 11165 CR *AG HEALTHC RES QU, 2001, MAK HLTH CAR SAF CRI 11166 *AM DIAB ASS, 2005, DIABETES CARE, V28, S3 11167 *CDCP, 2005, HLTH PROM DIAB DIS D 11168 *CDCP, 2005, HLTH PROM NAT DIAB F 11169 *COMM QUAL HLTH CA, 2000, ERR IS HUM BUILD SAF 11170 *COMM QUAL HLTH CA, 2001, CROSS QUAL CHASM NEW 11171 ASCH SM, 2006, NEW ENGL J MED, V354, P1147 11172 BODENHEIMER T, 2002, JAMA-J AM MED ASSOC, V288, P1775 11173 CHIN MH, 2004, DIABETES CARE, V27, P2 11174 ENGLEGAU MM, 2004, ANN INTERN MED, V140, P945 11175 GARFIELD SA, 2003, DIABETES CARE, V26, P2670 11176 HAFFNER SM, 1998, DIABETES CARE, V21, P60 11177 HELMREICH RL, 2000, BRIT MED J, V320, P781 11178 HELMREICH RL, 2001, IMPROVING TEAMWORK O, P305 11179 KERR EA, 2004, HEALTH AFFAIR, V23, P247 11180 MCGLYNN EA, 2003, NEW ENGL J MED, V348, P2635 11181 MURPHY D, 2004, ANN INTERN MED, V140, P978 11182 MUSSON DM, 2004, HARVARD HLTH POLICY, V5, P25 11183 OCONNOR PJ, 2005, DIABETES CARE, V28, P1890 11184 ROBLIN DW, 2003, J AMBUL CARE MANAGE, V26, P22 11185 SAADDINE JB, 2002, ANN INTERN MED, V136, P565 11186 SALAS E, 2006, HUM FACTORS, V48, P392 11187 SCHACHTER KA, 2005, PREV CHRONIC DIS 11188 SMEDLEY BD, 2003, UNEQUAL TREATMENT CO 11189 SPEROFF T, 2004, QUAL MANAG HLTH CARE, V13, P17 11190 STEARNE MR, 1998, BRIT MED J, V317, P703 11191 TURNER RC, 1998, LANCET, V352, P837 11192 NR 27 11193 TC 0 11194 PU B M J PUBLISHING GROUP 11195 PI LONDON 11196 PA BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND 11197 SN 1475-3898 11198 J9 QUAL SAF HEALTH CARE 11199 JI Qual. Saf. Health Care 11200 PD AUG 11201 PY 2007 11202 VL 16 11203 IS 4 11204 BP 244 11205 EP 247 11206 PG 4 11207 SC Health Care Sciences & Services 11208 GA 199IV 11209 UT ISI:000248690300002 11210 ER 11211 11212 PT J 11213 AU Brown, SES 11214 Chin, MH 11215 Huang, ES 11216 AF Brown, Sydney E. S. 11217 Chin, Marshall H. 11218 Huang, Elbert S. 11219 TI Estimating costs of quality improvement for outpatient healthcare 11220 organisations: A practical methodology 11221 SO QUALITY & SAFETY IN HEALTH CARE 11222 LA English 11223 DT Article 11224 ID IMPROVING PRIMARY-CARE; CHRONIC ILLNESS; PHYSICIAN-PAYMENT; 11225 PERFORMANCE; MANAGEMENT; MEDICINE; CENTERS; ADULTS; PAY 11226 AB Background: Outpatient healthcare organisations worldwide participate 11227 in quality improvement (QI) programmes. Despite the importance of 11228 understanding the financial impact of such programmes, there are no 11229 established standard methods for empirically assessing QI programme 11230 costs and their consequences for small outpatient healthcare 11231 organisations. 11232 Objective and methods: The costs and cost consequences were evaluated 11233 for a diabetes QI programme implemented throughout the USA in federally 11234 qualified community health centres. For five case study centres, survey 11235 instruments and methods for data analysis were developed. 11236 Results: Two types of cost/revenue were evaluated. Direct 11237 costs/revenues, such as personnel time, items purchased and grants 11238 received, were evaluated using self- administered surveys. Cost/revenue 11239 consequences, which were cost/revenue changes that may have occurred 11240 due to changes in patient utilisation or physician behaviour, were 11241 evaluated using electronic billing data. Other methods for evaluating 11242 cost/revenue consequences if electronic billing data are not available 11243 are also discussed. 11244 Conclusion: This paper describes a practical taxonomy and method for 11245 assessing the costs and revenues of QI programmes for outpatient 11246 organisations. Results of such analyses will be useful for healthcare 11247 organisations implementing QI programmes and also for policy makers 11248 designing incentives for QI participation. 11249 C1 Univ Chicago, Pritzker Sch Med, Sect Gen Internal Med, Chicago, IL 60637 USA. 11250 Univ Chicago, Pritzker Sch Med, Diabet Res & Training Ctr, Chicago, IL 60637 USA. 11251 RP Huang, ES, Univ Chicago, Pritzker Sch Med, Sect Gen Internal Med, 5841 11252 S Maryland Ave,MC 2007, Chicago, IL 60637 USA. 11253 EM ehuang@medicine.bsd.uchicago.edu 11254 CR *NAT I HLTH CLIN E, COST TOOLS 11255 BODENHEIMER T, 2002, JAMA-J AM MED ASSOC, V288, P1775 11256 BODENHEIMER T, 2002, JAMA-J AM MED ASSOC, V288, P1909 11257 CASALINO LP, 2003, PERSPECT BIOL MED, V46, P38 11258 CHIN MH, IN PRESS MED CARE 11259 CHIN MH, 2004, DIABETES CARE, V27, P2 11260 CHODOSH J, 2005, ANN INTERN MED, V143, P427 11261 DRUMMOND M, 1987, METHODS EC EVALUATIO 11262 GLICK HA, 2001, EC EVALUATION HLTH C, P113 11263 HSIAO WC, 1987, INQUIRY, V24, P360 11264 HSIAO WC, 1993, NEW ENGL J MED, V328, P928 11265 HUANG ES, IT COMM J QUAL PATIE 11266 HUANG ES, 2007, HLTH SERV RES 11267 KILPATRICK KE, 2005, INT J QUAL HEALTH C, V17, P347 11268 LEATHERMAN S, 2003, HEALTH AFFAIR, V22, P17 11269 MCALEARNEY JS, 2002, HEALTH AFFAIR, V21, P219 11270 MCGLYNN EA, 2003, NEW ENGL J MED, V348, P2635 11271 PERLOFF JM, 2004, MICROECONOMICS 11272 RAGIN CC, 1999, HEALTH SERV RES 2, V34, P1137 11273 RAGIN CC, 1999, HEALTH SERV RES 2, V34, P1225 11274 ROLAND M, 2004, NEW ENGL J MED, V351, P1448 11275 ROSENTHAL MB, 2005, JAMA-J AM MED ASSOC, V294, P1788 11276 SCHULMAN K, 1998, HEALTH ECON, V7, P629 11277 VONKORFF M, 1997, ANN INTERN MED, V127, P1097 11278 WAGNER EH, 2001, JOINT COMM J QUAL IM, V27, P63 11279 WEINSTEIN MC, 1996, JAMA-J AM MED ASSOC, V276, P1253 11280 YIN RK, 1999, HEALTH SERV RES 2, V34, P1209 11281 NR 27 11282 TC 0 11283 PU B M J PUBLISHING GROUP 11284 PI LONDON 11285 PA BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND 11286 SN 1475-3898 11287 J9 QUAL SAF HEALTH CARE 11288 JI Qual. Saf. Health Care 11289 PD AUG 11290 PY 2007 11291 VL 16 11292 IS 4 11293 BP 248 11294 EP 251 11295 PG 4 11296 SC Health Care Sciences & Services 11297 GA 199IV 11298 UT ISI:000248690300003 11299 ER 11300 11301 PT J 11302 AU Munoz, J 11303 Narvarte, L 11304 Lorenzo, E 11305 AF Munoz, J. 11306 Narvarte, L. 11307 Lorenzo, E. 11308 TI Experience with PV-diesel hybrid village power systems in southern 11309 morocco 11310 SO PROGRESS IN PHOTOVOLTAICS 11311 LA English 11312 DT Article 11313 DE PV-diesel hybrid systems; rural electrification 11314 ID RURAL ELECTRIFICATION; PUMPING SYSTEMS; LESSONS 11315 AB In October 2002, under the auspices of Spanish Cooperation, a pilot 11316 electrification project put into operation two centralised PV-diesel 11317 hybrid systems in two different Moroccan villages. These systems 11318 currently provide a full-time energy service and supply electricity to 11319 more than a hundred of families, six community buildings, street 11320 lighting and one running water system. The appearance of the 11321 electricity service is very similar to an urban one: one phase AC 11322 supply (230 V/50 Hz) distributed up to each dwelling using a 11323 low-voltage mini-grid, which has been designed to be fully compatible 11324 with a future arrival of the utility grid. The management of this 11325 electricity service is based on a 'fee-for-service' scheme agreed 11326 between a local NGO, partner of the project, and electricity 11327 associations created in each village, which are in charge of, among 11328 other tasks, recording the daily energy production of systems and the 11329 monthly energy consumption of each house. This register of data allows 11330 a systematic evaluation of both the system performance and the energy 11331 consumption of users. Now, after 4 years of operation, this paper 11332 presents the experience of this pilot electrification project and draws 11333 lessons that can be useful for designing, managing and sizing this type 11334 of small village PV-hybrid system. Copyright (c) 2007 John Wiley & 11335 Sons, Ltd. 11336 C1 Univ Politecn Madrid, Escuela Univ Ingn Tecn Ind, Dept Elect Automat & Informat Ind, Inst Energia Solar, Madrid 28012, Spain. 11337 RP Munoz, J, Univ Politecn Madrid, Escuela Univ Ingn Tecn Ind, Dept Elect 11338 Automat & Informat Ind, Inst Energia Solar, Ronda Valencia 3, Madrid 11339 28012, Spain. 11340 EM javier@ies-def.upm.es 11341 CR ASS TICHKA 11342 *INT EL COMM, 2001, 60364 IEC 11343 ABELLA MA, 2003, PROG PHOTOVOLTAICS, V11, P179 11344 AULICH HA, 1998, PROG PHOTOVOLTAICS, V6, P325 11345 BOPP G, 2006, 3 EUR PV HYBR MIN GR, P64 11346 BOWER W, 1993, SAND932145C1993 11347 BRITO AU, 2006, PROG PHOTOVOLTAICS, V14, P249 11348 BRITO AU, 2007, PROG PHOTOVOLTAICS, V15, P41 11349 EYRAS R, 1993, PROGR PHOTOVOLTAICS, V1, P145 11350 FOSTER RB, 1999, ISES SOL WORLD C TAE 11351 GINN JW, 1999, PROG PHOTOVOLTAICS, V7, P191 11352 ILICETO A, 1994, 12 EUR PHOT SOL EN C, P210 11353 KOITA Z, 1997, ISES SOLAR WORLD C 11354 LEONI AL, 2004, ENERG POLICY, V32, P881 11355 LISHOU C, 1994, 12 EUR PHOT SOL EN C, P1950 11356 NARVARTE L, 2005, PROG PHOTOVOLTAICS, V13, P261 11357 NASSEN J, 2002, PROG PHOTOVOLTAICS, V10, P495 11358 NAYAR CV, 1995, APPL ENERG, V52, P229 11359 ROSENTHAL AL, 1999, PROG PHOTOVOLTAICS, V7, P183 11360 STRAUSS P, 2003, 3 WORLD C PHOT EN C, P2129 11361 VALLVE X, 2001, 7 EUR PHOT SOL EN C, P1960 11362 WICHERT B, 1997, RENEW SUST ENERG REV, V3, P209 11363 NR 22 11364 TC 0 11365 PU JOHN WILEY & SONS LTD 11366 PI CHICHESTER 11367 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 11368 SN 1062-7995 11369 J9 PROG PHOTOVOLTAICS 11370 JI Prog. Photovoltaics 11371 PD SEP 11372 PY 2007 11373 VL 15 11374 IS 6 11375 BP 529 11376 EP 539 11377 PG 11 11378 SC Energy & Fuels; Physics, Applied 11379 GA 208AD 11380 UT ISI:000249291300006 11381 ER 11382 11383 PT J 11384 AU Ounnar, F 11385 Pujo, P 11386 Mekaouche, L 11387 Giambiasi, N 11388 AF Ounnar, F. 11389 Pujo, P. 11390 Mekaouche, L. 11391 Giambiasi, N. 11392 TI Customer-supplier relationship management in an intelligent supply 11393 chain network 11394 SO PRODUCTION PLANNING & CONTROL 11395 LA English 11396 DT Article 11397 DE customer-supplier relationship; self-organisation; AHP; holonic system 11398 ID ANALYTIC HIERARCHY PROCESS; FIRMS 11399 AB Outsourcing is leading to more and more complex industrial 11400 organisations. This can be attributed to the fact that several decision 11401 centres interact. As a consequence, changes in customer-supplier 11402 relationships can be noticed. In recent years, these relations have 11403 strongly evolved to lead to better internal management of each partner 11404 and a better general performance to satisfy customers. These evolutions 11405 created a new approach to the relationship between companies, called 11406 'industrial partnership', in the form of a network. Networks induce a 11407 need at customer-supplier relation control level. The contribution and 11408 participation of each of the partners are thus fundamental to make 11409 supply chain management (SCM) a successful project. The control system 11410 of each actor partner must thus be adaptable enough to satisfy the 11411 production requirements. Our contribution to the improvement of 11412 customer-supplier relationship is a decentralised self-organised 11413 control model based on the concept of holon. In this model, the 11414 decision system manages a group of actors' operations who are in a 11415 partnership. In this paper in particular a process for the evaluation 11416 of the suppliers network is discussed. 11417 C1 Univ Paul Cezanne, LSIS, CNRS, UMR 6128, F-13397 Marseille 20, France. 11418 RP Ounnar, F, Univ Paul Cezanne, LSIS, CNRS, UMR 6128, Ave Escadrille 11419 Normandie Niemen, F-13397 Marseille 20, France. 11420 EM fouzia.ounnar@lsis.org 11421 CR BONNEFOUS C, 2001, INDICATEURS PERFORMA 11422 BURLAT P, 2003, PROD PLAN CONTROL, V14, P399 11423 CHEN KL, 2005, INT J PROD ECON, V98, P315 11424 CHOI TY, 1996, J OPERATIONS MANAGEM, V14, P333 11425 DAVENPORT T, 2004, J ENTERPRISE INFORMA, V17, P8 11426 DICKSON GW, 1966, J PURCHASING, V2, P5 11427 GUNASEKARAN A, 1997, INT J PROD ECON, V50, P91 11428 GUNASEKARAN A, 2004, PROD PLAN CONTROL, V15, P584 11429 HARKER PT, 1989, ANAL HIERARCHY PROCE, P3 11430 JAYARAMAN V, 1999, J SUPPLY CHAIN MANAG, V35, P50 11431 JOHANNESSEN S, 2002, INT J LOGIST MANAGE, V13, P31 11432 KOESTLER A, 1989, GHOST MACHINE 11433 MAULL R, 1994, INT J SERV IND MANAG, V5, P26 11434 MEKAOUCHE L, 2005, IEMC 05 INT ENG MAN 11435 MURALIDHARAN C, 2002, J SUPPLY CHAIN MANAG, V38, P22 11436 NAKATO H, 1998, J PURCH MAT MANAGE, V34, P19 11437 NARASIMHAN R, 1983, J PURCHASING MAT MAN, V19, P27 11438 NYDICK RL, 1992, INT J PURCHASING MAT, V28, P31 11439 OLHAGER J, 2004, INT J PROD ECON, V89, P353 11440 OUNNAR F, 1999, THESIS I NATL POLYTE 11441 OUNNAR F, 2001, 4 C INT GEN IND, P1175 11442 OUNNAR F, 2005, INT J LOGIST MANAGE, V16, P159 11443 PEARSON JN, 1995, J SMALL BUS MANAGE, V33, P53 11444 PUJO P, 2001, METHODES PILOTAGE SY, P130 11445 REIJIERS HA, 2005, OMEGA-INT J MANAGE S, V33, P283 11446 RONG C, 2003, PROD PLAN CONTROL, V14, P90 11447 SAATY TL, 1980, ANAL HIERARCHY PROCE 11448 THOMPSON IM, 1996, SEMIN UROL ONCOL, V14, P4 11449 VANBRUSSEL H, 1998, COMPUT IND, V37, P255 11450 VARGAS LG, 1990, EUR J OPER RES, V48, P1 11451 WEBER CA, 1991, EUR J OPER RES, V50, P1 11452 WEDLEY WC, 1990, SOCIO ECON PLAN SCI, V24, P57 11453 NR 32 11454 TC 0 11455 PU TAYLOR & FRANCIS LTD 11456 PI ABINGDON 11457 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 11458 SN 0953-7287 11459 J9 PRODUCTION PLANNING CONTROL 11460 JI Prod. Plan. Control 11461 PY 2007 11462 VL 18 11463 IS 5 11464 BP 377 11465 EP 387 11466 PG 11 11467 SC Engineering, Industrial; Engineering, Manufacturing; Operations 11468 Research & Management Science 11469 GA 203KP 11470 UT ISI:000248973800003 11471 ER 11472 11473 PT J 11474 AU Wong, CY 11475 Hvolby, HH 11476 AF Wong, C. Y. 11477 Hvolby, H.-H. 11478 TI Coordinated responsiveness for volatile toy supply chains 11479 SO PRODUCTION PLANNING & CONTROL 11480 LA English 11481 DT Article 11482 DE responsiveness; coordination; volatility; supply chain planning; toy 11483 industry 11484 ID SEASONAL PRODUCTS; MANAGEMENT; DEMAND; SALES; ORDER 11485 AB Demands for innovative products in short selling windows are highly 11486 unpredictable. This volatility creates demands with dramatic peaks and 11487 troughs due to risk-avoidance behaviours among manufacturers and 11488 retailers. The consequences are high obsolete inventory, lost sales, 11489 and markdowns. Theoretically, the concepts of quick response and 11490 postponement are among the potential solutions for such as a volatile 11491 and seasonal toy supply chain. This study explores the role of 11492 responsiveness and coordination in improving supply chain performance. 11493 It is based on an in-depth case study in a European toy supply chain. 11494 Consumer and retailer demand patterns and their implications to the 11495 manufacturer's supply chains are analysed. Opportunities for relocating 11496 order penetration points (OPP) and quick response are simulated, and 11497 appropriate relocation rules are established. It is concluded that OPP 11498 relocation and responsiveness are beneficial but inadequate in 11499 improving the supply chain. Coordination of ordering behaviours is 11500 necessary. Coordination processes to achieve greater performance 11501 between the toy manufacturer and two of its retailers are presented. 11502 Furthermore, the concept of 'coordinated responsiveness' is proposed, 11503 which combines the concepts of quick response, accurate response and 11504 coordination. 11505 C1 Cranfield Univ, Sch Management, Cranfield MK43 0AL, Beds, England. 11506 Univ Aalborg, Dept Prod, DK-9220 Aalborg, Denmark. 11507 RP Wong, CY, Cranfield Univ, Sch Management, Cranfield MK43 0AL, Beds, 11508 England. 11509 EM chee.wong@cranfield.ac.uk 11510 CR *TOY IND ASS INC, 2004, TOY IND FACT BOOK, P1 11511 AVIV Y, 2001, MANAGE SCI, V47, P512 11512 BITRAN G, 1998, OPER RES, V46, P609 11513 CATALAN M, 2003, INT J PHYS DISTRIB, V33, P668 11514 CHEN J, 2001, IEEE T SYST MAN CY A, V31, P524 11515 CHRISTOPHER M, 2004, INT J RETAIL DISTRIB, V32, P367 11516 FISCHER ML, 1997, HARVARD BUS REV, V75, P105 11517 FISHER M, 1996, OPER RES, V44, P87 11518 GATTORNA JL, 1996, MANAGING SUPPLY CHAI 11519 GHEMAWAT P, 2003, HARVARD BUSINESS SCH, P1 11520 GUPTA Y, 2003, INT J PHYS DISTRIB, V33, P500 11521 JOHNSON ME, 2001, CALIF MANAGE REV, V43, P106 11522 KARKKAINEN K, 2003, INT J PHYS DISTRIB L, V33, P132 11523 KULARATNA HD, 2001, INT J SUPPLY CHAIN M, V6, P119 11524 LEE DU, 2003, INNOV FOOD SCI EMERG, V4, P387 11525 LEE HL, 2000, MANAGE SCI, V46, P626 11526 LEE WW, 1997, J NUCL MED S, V38, P3 11527 LI D, 2001, INT J PROD ECON, V73, P29 11528 LOWSON B, 1999, QUICK RESPONSE MANAG 11529 LOWSON R, 2002, INT J SUPPLY CHAIN M, V7, P146 11530 LUMMUS R, 2003, GLOBAL J FLEXIBLE SY, V4, P1 11531 NAMIT K, 1996, INT J PHYS DISTRIB L, V29, P138 11532 OLHAGER J, 2003, INT J PROD ECON, V85, P319 11533 PAGEL D, 1999, PROD INVENT MANAGE J, V40, P66 11534 PAGH JD, 1998, J BUSINESS LOGISTICS, V19, P13 11535 RAVINDRAN A, 1972, OPER RES, V20, P265 11536 SANI B, 1997, J OPER RES SOC, V48, P700 11537 SENGE PM, 1990, 5 DISCIPLINE ART PRA 11538 SETHI AK, 1990, INT J FLEX MANUF SYS, V2, P289 11539 SHARMAN G, 1984, HARVARD BUS REV, V62, P71 11540 SHARP D, 1998, STRATEGIC SUPPLY CHA 11541 SLACK N, 1983, INT J OPER PROD MAN, V3, P5 11542 STALK G, 1990, COMPETING TIME 11543 SURI R, 1999, QUICK RESPONSE MANUF 11544 VANHOEK RI, 1998, INT J LOGISTICS MANA, V9, P95 11545 VOROS J, 2001, INT J PROD ECON, V73, P117 11546 WONG CY, 2004, EUR C 2004 INSEAD FO, P669 11547 WONG CY, 2005, SUPPLY CHAIN MANAG, V10, P367 11548 WONG CY, 2006, INT J PROD ECON, V104, P709 11549 WONG CY, 2007, INT J RISK ASSESS MA, V7, P4 11550 ZINN W, 1989, J BUSINESS LOGISTICS, V10, P1 11551 NR 41 11552 TC 0 11553 PU TAYLOR & FRANCIS LTD 11554 PI ABINGDON 11555 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 11556 SN 0953-7287 11557 J9 PRODUCTION PLANNING CONTROL 11558 JI Prod. Plan. Control 11559 PY 2007 11560 VL 18 11561 IS 5 11562 BP 407 11563 EP 419 11564 PG 13 11565 SC Engineering, Industrial; Engineering, Manufacturing; Operations 11566 Research & Management Science 11567 GA 203KP 11568 UT ISI:000248973800005 11569 ER 11570 11571 PT J 11572 AU Kanda, AA 11573 Deshmukh, SG 11574 AF Kanda, Arshinder A. 11575 Deshmukh, S. G. 11576 TI Coordination in supply chains: an evaluation using fuzzy logic 11577 SO PRODUCTION PLANNING & CONTROL 11578 LA English 11579 DT Article 11580 DE supply chain coordination; AHP; fuzzy logic; information technology; 11581 information sharing 11582 ID CHANNEL COORDINATION; DEMAND INFORMATION; REPLENISHMENT; INVENTORIES; 11583 MANAGEMENT; SYSTEMS 11584 AB Supply chain coordination (SCC) is an effective approach to improve 11585 supply chain (SC) performance. The coordination can be achieved when 11586 interdependent entities work together by sharing resources and 11587 information to achieve common objectives aligned to maximise customer 11588 value for the entire SC. There are a number of mechanisms by which the 11589 SC members can coordinate, e. g. contracts, information sharing, 11590 information technology and collaborative initiatives. To communicate 11591 frequently and effectively, the partners are required to have good 11592 information systems and capability to share information. To coordinate 11593 with each other the SC members are required to have capabilities to 11594 implement coordination mechanisms effectively. In this paper, a model 11595 is proposed to measure the effect of these mechanisms on the extent of 11596 coordination. Currently, there is no scale of measurement reported in 11597 the literature to measure the SCC. A fuzzy logic approach combined with 11598 the analytic hierarchy process (AHP) is proposed to evaluate the extent 11599 of coordination. The proposed methodology is demonstrated through a 11600 case study of an automotive parts manufacturer. 11601 C1 Indian Inst Technol, Dept Mech Engn, New Delhi 110016, India. 11602 RP Deshmukh, SG, Indian Inst Technol, Dept Mech Engn, New Delhi 110016, 11603 India. 11604 EM deshmukh@mech.iitd.ernet.in 11605 CR ARSHINDER KA, 2005, P 37 ANN CONV OP SOC, P298 11606 ARSHINDER KA, 2006, INT J VALUE CHAIN MA, V1, P117 11607 AVIV Y, 2001, MANAGE SCI, V47, P1326 11608 BOURLAND KE, 1996, EUR J OPER RES, V92, P239 11609 BOWERSOX DJ, 1995, J BUSINESS LOGISTICS, V16, P65 11610 CACHON GP, 2000, MANAGE SCI, V46, P1032 11611 CHEN SJ, 1992, FUZZY MULTIPLE ATTRI 11612 CHEN TH, 2005, TRANSPORT RES E-LOG, V41, P261 11613 CHEUNG KL, 2002, MANAGE SCI, V48, P300 11614 CROSON R, 2003, PROD OPER MANAG, V12, P1 11615 GALLEGO G, 1994, MANAGE SCI, V40, P999 11616 GIANNOCCARO I, 2004, INT J PROD ECON, V89, P131 11617 JAYARAM J, 2000, INT J PHYS DISTRIB, V30, P314 11618 KARAESMEN F, 2002, IIE TRANS, V34, P649 11619 KOULAMAS C, 2006, DECISION SCI, V37, P91 11620 LAMBERT DM, 1999, J BUSINESS LOGISTICS, V20, P165 11621 LARSEN TS, 2003, INT J PHYS DISTRIB L, V33, P531 11622 LAU JSK, 2002, INTEGRATED MANUFACTU, V13, P345 11623 LEE HL, 2000, SUPPLY CHAIN MANAG, V4, P30 11624 MALONE TW, 1994, ACM COMPUT SURV, V26, P87 11625 MCCARTHY TM, 2002, INT J PHYS DISTRIB, V32, P431 11626 MENTZER JT, 2001, J BUSINESS LOGISTICS, V22, P1 11627 MOINZADEH K, 2002, MANAGE SCI, V48, P414 11628 OZER O, 2003, MANAGE SCI, V49, P255 11629 PADMANABHAN V, 1997, MARKET SCI, V16, P81 11630 RAMDAS K, 2000, INTERFACES, V30, P3 11631 ROSS TJ, 1997, FUZZY LOGIC ENG APPL 11632 SAATY TL, 1980, ANAL HIERARCHY PROCE 11633 SAHAY BS, 2003, IND MANAGE DATA SYST, V103, P553 11634 SAHIN F, 2002, DECISION SCI, V33, P505 11635 SUGENO M, 1985, INFORM SCIENCES, V36, P59 11636 TARN JM, 2002, IND MANAGE DATA SYST, V102, P26 11637 TSAY AA, 1999, MANAGE SCI, V45, P1339 11638 WEBER M, 2002, INT J, V7, P311 11639 YIN RK, 2002, CASE STUDY RES DESIG 11640 NR 35 11641 TC 0 11642 PU TAYLOR & FRANCIS LTD 11643 PI ABINGDON 11644 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 11645 SN 0953-7287 11646 J9 PRODUCTION PLANNING CONTROL 11647 JI Prod. Plan. Control 11648 PY 2007 11649 VL 18 11650 IS 5 11651 BP 420 11652 EP 435 11653 PG 16 11654 SC Engineering, Industrial; Engineering, Manufacturing; Operations 11655 Research & Management Science 11656 GA 203KP 11657 UT ISI:000248973800006 11658 ER 11659 11660 PT J 11661 AU Wadhwa, S 11662 Saxena, A 11663 AF Wadhwa, S. 11664 Saxena, A. 11665 TI Decision knowledge sharing: flexible supply chains in KM context 11666 SO PRODUCTION PLANNING & CONTROL 11667 LA English 11668 DT Article 11669 DE decision knowledge sharing; flexible supply chains; flexibility; 11670 information sharing; knowledge management 11671 ID LIFE PRODUCT RECOVERY; FLEXIBILITY; INFORMATION; MANAGEMENT 11672 AB Supply chain excellence has a real impact on business strategy. 11673 Building supply chains as flexible systems represents one of the most 11674 exciting opportunities to create value and one of the most challenging 11675 tasks for the policy makers. It requires integrated decision making 11676 amongst autonomous chain partners with effective decision knowledge 11677 sharing between them. The key to success lies in knowing which decision 11678 has more impact on the overall performance and this can be achieved by 11679 appropriate knowledge sharing. In this context, knowledge management ( 11680 KM) can be used as an effective approach to achieve knowledge sharing 11681 and decision synchronisation in supply chains. Flexible supply chains 11682 (FSCs) are more complex and involve multiple autonomous players with 11683 varying technical cultures ( affects knowledge mindsets), managerial 11684 background ( affects decision knowledge) and supply chain management 11685 (SCM) exposures ( affects knowledge sharing attitudes). Thus there is a 11686 need to develop demo models that can encourage chain managers towards 11687 collaborative knowledge sharing in the supply chains. This paper 11688 presents the application of one such model based on decision knowledge 11689 sharing (DKS) for improved supply chain management. A simulation model 11690 of a flexible supply chain based on DKS framework is developed for demo 11691 purposes. The key results are highlighted along with industry 11692 implications. The cost based performance of DKS at different levels of 11693 flexibility is studied. Thus a careful analysis of the chain with a 11694 focus on collaborative decisions is useful to ensure success. This 11695 paper addresses this interesting and challenging domain. 11696 C1 Indian Inst Technol, Dept Mech Engn, New Delhi 110016, India. 11697 RP Saxena, A, Indian Inst Technol, Dept Mech Engn, New Delhi 110016, India. 11698 EM avneetsaxena@rediffmail.com 11699 CR ALBINO V, 2002, P 7 INT S LOG MELB A 11700 BAGANHA MP, 1998, OPER RES, V46, P572 11701 BOURLAND KE, 1996, EUR J OPER RES, V92, P239 11702 BROWNE J, 1996, PRODUCTION MANAGEMEN 11703 BROWNE J, 1997, HDB LIFE CYCLE ENG C 11704 BROWNE J, 1998, INT J BUS T, V1, P73 11705 BROWNE J, 1998, MODELLING TECHNIQUES, P392 11706 BURBIDGE JL, 1989, PRODUCTION FLOW ANAL 11707 CACHON GP, 2000, MANAGE SCI, V46, P1032 11708 CHAN FTS, 2004, INT J PROD RES, V42, P1 11709 DAS SK, 2003, INT J PROD ECON, V85, P171 11710 FERGUSON N, 2001, PROD PLAN CONTROL, V12, P534 11711 GARAVELLI AC, 2003, INT J PROD ECON, V85, P141 11712 GLAZER R, 1993, IBM SYST J, V32, P99 11713 GOGGIN K, 2000, PROD PLAN CONTROL, V11, P187 11714 GOGGIN K, 2000, PROD PLAN CONTROL, V11, P628 11715 HANDFIELD RB, 1998, INTRO SCM 11716 KNIRSCH P, 1999, P 4 INT S LOG ISM 99, P213 11717 LEE WW, 1997, J NUCL MED S, V38, P3 11718 NONAKA I, 1995, KNOWLEDGE CREATING C 11719 PUJAWAN N, 2004, INT J INTEG SUPPLY C, V1, P102 11720 SETHI AK, 1990, INT J FLEX MANUF SYS, V2, P289 11721 SIMCHILEVI D, 1998, DESIGNING MANAGING S 11722 STECKE KE, 1981, INT J PROD RES, V19, P481 11723 TAYUR S, 1999, QUANTITATIVE MODELS 11724 TIWANA A, 2000, KNOWLEDGE MANAGEMENT 11725 TOWILL DR, 1997, INT J TECHNOL MANAGE, V13, P37 11726 VICKERY S, 1999, J SUPPLY CHAIN MANAG, V35, P16 11727 VISWANADHAM N, 1997, SADHANA-ACAD P ENG 2, V22, P135 11728 WADHWA S, 1998, SIC J, V7, P329 11729 WADHWA S, 2000, INT J TECHNOL MANAGE, V19, P820 11730 WADHWA S, 2002, STUDIES INFORM CONTR, V11, P16 11731 WADHWA S, 2003, STUD INFORM CONT, V7, P329 11732 WADHWA S, 2005, INT J PROD RES, V43, P3131 11733 WADHWA S, 2006, INT J BUSI PERFORM M, V8, P207 11734 WADHWA S, 2006, INT J PROD RES 11735 WADHWA S, 2006, STUDIES INFORM CONT, V15, P54 11736 WALSH WE, 1999, IJCAI 99 WORKSH AG M 11737 NR 38 11738 TC 0 11739 PU TAYLOR & FRANCIS LTD 11740 PI ABINGDON 11741 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 11742 SN 0953-7287 11743 J9 PRODUCTION PLANNING CONTROL 11744 JI Prod. Plan. Control 11745 PY 2007 11746 VL 18 11747 IS 5 11748 BP 436 11749 EP 452 11750 PG 17 11751 SC Engineering, Industrial; Engineering, Manufacturing; Operations 11752 Research & Management Science 11753 GA 203KP 11754 UT ISI:000248973800007 11755 ER 11756 11757 PT J 11758 AU Schnetzler, MJ 11759 Schonsleben, P 11760 AF Schnetzler, M. J. 11761 Schoensleben, P. 11762 TI The contribution and role of information management in supply chains: a 11763 decomposition-based approach 11764 SO PRODUCTION PLANNING & CONTROL 11765 LA English 11766 DT Article 11767 DE supply chain management; information management; information 11768 technology; axiomatic design 11769 ID BALANCED SCORECARD; BUSINESS MODEL; INTEGRATION; FLEXIBILITY; 11770 TECHNOLOGY; SYSTEMS; IMPACT; PERFORMANCE; DISTORTION; COMPUTERS 11771 AB This paper investigates how information management ( IM) and 11772 information technology ( IT) can support supply chain management ( 11773 SCM). The objective is to develop a methodology for the alignment of 11774 all activities, which relate to IM in supply chains with supply chain 11775 targets in order to optimally support SCM. Following the Axiomatic 11776 design method, supply chain design decomposition is developed that 11777 distinguishes objectives and means of SCM at different levels. Results 11778 show that IM has an impact on all target areas of SCM, i. e. quality, 11779 delivery reliability, delivery lead times, flexibility, assets, and 11780 costs. The methodology can be used to identify appropriate measures 11781 related to IM and IT for a specific target area as well as to assess 11782 their contribution to the corporate strategy of a company and the 11783 supply chain targets. Furthermore, interdependencies and prerequisites 11784 can be analysed. In particular, information quality must first be 11785 established. Two short case studies illustrate the application of the 11786 methodology. 11787 C1 ETH, Ctr Enterprise Sci BWI, CH-8092 Zurich, Switzerland. 11788 RP Schnetzler, MJ, ETH, Ctr Enterprise Sci BWI, CH-8092 Zurich, 11789 Switzerland. 11790 EM mschnetzler@ethz.ch 11791 CR *DELL, 2006, FISC 2006 REV 11792 *ISO, 2000, INT STAND ISO 15704 11793 *SCC, 2006, SUPPL CHAIN REF MOD 11794 AERTS ATM, 2002, COMPUT IND, V49, P311 11795 AURAMO J, 2005, INT J PHYS DISTRIB L, V35, P82 11796 BANDINELLI R, 2006, PROD PLAN CONTROL, V17, P167 11797 BARTEZZAGHI E, 2004, J PURCH S MANAGE, V10, P117 11798 BOURLAND KE, 1996, EUR J OPER RES, V92, P239 11799 BOYSON S, 2003, TRANSPORT RES E-LOG, V39, P175 11800 BRIGNALL S, 2004, MANAGE ACCOUNTING, V15, P225 11801 CACHON GP, 2000, MANAGE SCI, V46, P1032 11802 CHEN IJ, 2004, INT J PROD RES, V42, P131 11803 CHOU DC, 2004, INFORM MANAGE COMPUT, V12, P338 11804 CHRISTOPHER M, 1999, INT J LOGISTICS MANA, V10, P1 11805 COCHRAN D, 2001, INT J BUSI PERFORM M, V3, P154 11806 COCHRAN DS, 2001, J MANUF SYST, V20, P371 11807 COPELAND T, 2000, VALUATION 11808 DAVENPORT T, 2004, J ENTERPRISE INFORMA, V17, P8 11809 DAVIES I, 2007, INT J PROD ECON, V106, P12 11810 DELL M, 1999, DIRECT DELL 11811 DIMITRIADIS NI, 2005, PROD PLAN CONTROL, V16, P545 11812 DUDA JW, 2000, THESIS MASSACHUSETTS 11813 DUNCAN NB, 1995, J MANAGEMENT INFORMA, V12, P37 11814 EHRBAR A, 1998, EVA EC VALUE ADDED 11815 ELLRAM LM, 1991, INT J PHYS DISTRIB, V21, P12 11816 EPPLER MJ, 2006, MANAGING INFORM QUAL 11817 EVANS R, 1998, STRATEGIC SUPPLY CHA, P18 11818 FERDOWS K, 1990, J OPERATIONS MANAGEM, V9, P168 11819 FLYNN BB, 2005, INT J PROD RES, V43, P3421 11820 GOLDEN W, 2000, OMEGA-INT J MANAGE S, V28, P373 11821 GREEN K, 2001, ECO EFFICIEN IND SCI, V6, P5 11822 GREEN KW, 2007, PROD PLAN CONTROL, V18, P274 11823 GUNASEKARAN A, 1997, INT J COMP INTEG M, V10, P1 11824 GUNASEKARAN A, 2004, EUR J OPER RES, V159, P269 11825 HANDFIELD RB, 1999, INTRO SUPPLY CHAIN M 11826 HENDERSON JC, 1993, IBM SYST J, V32, P4 11827 HUAN SH, 2004, SUPPLY CHAIN MANAG, V9, P23 11828 JARDIMGONCALVES R, 2006, COMPUT IND, V57, P679 11829 JAYARAM J, 2000, INT J PHYS DISTRIB, V30, P314 11830 JHARKHARIA S, 2005, J ENTERPRISE INFORM, V18, P11 11831 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 11832 KAPLAN RS, 1996, HARVARD BUS REV, V74, P75 11833 KHOUJA M, 2002, INT J PROD RES, V40, P205 11834 KOLLURU R, 2001, INFORMATION MANAGEME, V9, P233 11835 KORHONEN P, 1998, PROD PLAN CONTROL, V9, P526 11836 KRAEMER KL, 2000, INFORM SOC, V16, P5 11837 LAAKMANN F, 2003, MARKET SURVEY 2003 S 11838 LAMBERT DM, 2000, INT J LOGISTICS MANA, V11, P1 11839 LAU HCW, 2000, INT J PHYS DISTRIB, V30, P598 11840 LEE HL, 1997, MANAGE SCI, V43, P546 11841 LEE YW, 2002, INFORM MANAGE-AMSTER, V40, P133 11842 LEWIS I, 2000, J BUSINESS LOGISTICS, V21, P173 11843 LEWIS I, 2004, J ENTER INFORM MANAG, V17, P229 11844 LUMMUS R, 2003, GLOBAL J FLEXIBLE SY, V4, P1 11845 LUMMUS RR, 2005, INT J PROD RES, V43, P2687 11846 MAGRETTA J, 1998, HARVARD BUS REV, V76, P72 11847 MARRI HB, 2003, IND COMM TRAIN, V35, P151 11848 MCLAUGHLIN J, 2003, BUSI P MANAGE J, V9, P69 11849 MOTWANI J, 2000, LOGISTICS INFORMATIO, V13, P320 11850 NIENHAUS J, 2003, TRENDS SUPPLY CHAIN 11851 NIENHAUS J, 2006, PROD PLAN CONTROL, V17, P547 11852 OHNO T, 1988, TOYOTA PRODUCTION SY 11853 OVALLE OR, 2003, J PURCHASING SUPPLY, V9, P151 11854 PORTER ME, 1996, HARVARD BUS REV, V74, P61 11855 POWER D, 2005, SUPPLY CHAIN MANAG, V10, P252 11856 ROSS DF, 2000, COMPETING SUPPLY CHA 11857 RUSSELL DM, 2004, INT J PHYS DISTRIB, V34, P102 11858 SCHNETZLER MJ, 2005, THESIS ETH 11859 SCHNETZLER MJ, 2007, INT J PROD ECON, V105, P21 11860 SMITH AD, 2005, INFORM MANAGEMENT CO, V13, P16 11861 STADTLER H, 2004, EUR J OPER RES, V163, P575 11862 STEPHENS S, 2001, INFORM SYST FRONT, V3, P471 11863 STOREY J, 2006, INT J OPER PROD MAN, V26, P754 11864 SUH NP, 1990, PRINCIPLES DESIGN 11865 SUH NP, 2001, AXIOMATIC DESIGN 11866 UMEDA S, 2001, PROD PLAN CONTROL, V17, P155 11867 VERNADAT FB, 1996, ENTERPRISE MODELING 11868 WALL B, 2007, PROD PLAN CONTROL, V18, P239 11869 WANG J, 2005, PROD PLAN CONTROL, V16, P2 11870 WILDEMANN H, 2001, LOGISTIK PROZESSMANA 11871 NR 80 11872 TC 0 11873 PU TAYLOR & FRANCIS LTD 11874 PI ABINGDON 11875 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 11876 SN 0953-7287 11877 J9 PRODUCTION PLANNING CONTROL 11878 JI Prod. Plan. Control 11879 PY 2007 11880 VL 18 11881 IS 6 11882 BP 497 11883 EP 513 11884 PG 17 11885 SC Engineering, Industrial; Engineering, Manufacturing; Operations 11886 Research & Management Science 11887 GA 203KQ 11888 UT ISI:000248973900006 11889 ER 11890 11891 PT J 11892 AU Blackhurst, J 11893 Wu, T 11894 O'Grady, P 11895 AF Blackhurst, J. 11896 Wu, T. 11897 O'Grady, P. 11898 TI A network-based decision tool to model uncertainty in supply chain 11899 operations 11900 SO PRODUCTION PLANNING & CONTROL 11901 LA English 11902 DT Article 11903 DE supply chain management; network model; uncertainty; industry 11904 application 11905 ID PETRI NETS; DESIGN 11906 AB Typical supply chains can be characterised by their complexity and by 11907 the inherent uncertainty in their operations. Modelling such supply 11908 chains would allow for analysis of the system; however, this is a 11909 difficult task both in practice and research. This paper proposes a 11910 generalisable network based methodology to model supply chain 11911 operations and the uncertainty of system attributes such as lead time 11912 and cost. The methodology represents the operation of a supply chain as 11913 a high- level network and allows for the inclusion of stochastic 11914 variables so that uncertainty in the operation of a supply chain can be 11915 modelled and analysed in order to implement changes to improve overall 11916 system performance. The use of the methodology is illustrated on an 11917 industry application. 11918 C1 Iowa State Univ, Coll Business, Logist Operat & MIS Dept, Ames, IA 50011 USA. 11919 Arizona State Univ, Dept Ind Engn, Tempe, AZ 85287 USA. 11920 Univ Iowa, Seamans Ctr, Dept Mech & Ind Engn, Iowa City, IA 52242 USA. 11921 RP Blackhurst, J, Iowa State Univ, Coll Business, Logist Operat & MIS 11922 Dept, 3131 Gerdin Business Bldg, Ames, IA 50011 USA. 11923 EM jvblackh@iastate.edu 11924 CR APRILE D, 2005, PROD PLAN CONTROL, V16, P21 11925 ARNS M, 2002, J OPER RES SOC, V53, P885 11926 BLACKHURST J, 2004, INT J PROD RES, V42, P1639 11927 BLACKHURST J, 2005, J OPER MANAG, V23, P46 11928 CHEN HX, 2005, IEEE T AUTOM SCI ENG, V2, P132 11929 CHOPRA S, 2004, DECISION SCI, V35, P1 11930 DESROCHERS A, 2003, P IEEE INT C SYS MAN, V2, P1153 11931 DONG J, 2005, ANN OPER RES, V135, P155 11932 DONG M, 2001, ROBOT CIM-INT MANUF, V17, P121 11933 ESCUDERO LF, 1999, EUR J OPER RES, V119, P14 11934 FUNG RYK, 2003, INT J ADV MANUF TECH, V22, P587 11935 KOH SCL, 2003, PROD PLAN CONTROL, V14, P273 11936 KOH SCL, 2006, INT J PROD ECON, V101, P109 11937 MURATA T, 1989, P IEEE, V77, P541 11938 PETRI C, 1962, THESIS U BONN BONN W 11939 RIDDALLS CE, 2000, INT J SYST SCI, V31, P969 11940 SANTOSO T, 2005, EUR J OPER RES, V167, P96 11941 SHAPIRO J, 2002, MODELLING SUPPLY CHA 11942 VANDERVORST JGAJ, 2000, EUR J OPER RES, V122, P354 11943 VENKATESWARAN J, 2004, INT J PROD RES, V42, P2971 11944 VISWANADHAM N, 2000, J OPER RES SOC, V51, P1158 11945 WANG RX, 2003, COMPUTER INTEGRATED, V9, P868 11946 YAO Z, 2005, PROD PLAN CONTROL, V16, P691 11947 ZHOU M, 1995, PETRI NETS FLEXIBLE 11948 ZURAWSKI R, 1994, IEEE T IND ELECTRON, V41, P567 11949 NR 25 11950 TC 0 11951 PU TAYLOR & FRANCIS LTD 11952 PI ABINGDON 11953 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 11954 SN 0953-7287 11955 J9 PRODUCTION PLANNING CONTROL 11956 JI Prod. Plan. Control 11957 PY 2007 11958 VL 18 11959 IS 6 11960 BP 526 11961 EP 535 11962 PG 10 11963 SC Engineering, Industrial; Engineering, Manufacturing; Operations 11964 Research & Management Science 11965 GA 203KQ 11966 UT ISI:000248973900008 11967 ER 11968 11969 PT J 11970 AU Lidove, O 11971 Bekri, S 11972 Goizet, C 11973 Van Kien, AK 11974 Aractingi, S 11975 Knebelmann, B 11976 Choukroun, G 11977 Tsimaratos, M 11978 Redonnet-Vernhet, I 11979 Lacombe, D 11980 Jaussaud, R 11981 AF Lidove, Olivier 11982 Bekri, Soumeya 11983 Goizet, Cyril 11984 Van Kien, Aurelie Khau 11985 Aractingi, Selim 11986 Knebelmann, Bertrand 11987 Choukroun, Gabriel 11988 Tsimaratos, Michel 11989 Redonnet-Vernhet, Isabelle 11990 Lacombe, Didier 11991 Jaussaud, Roland 11992 TI Fabry disease: proposed guidelines for its diagnosis, treatment and 11993 follow-up 11994 SO PRESSE MEDICALE 11995 LA English 11996 DT Article 11997 ID ENZYME REPLACEMENT THERAPY; TANDEM MASS-SPECTROMETRY; GALACTOSIDASE-A 11998 GENE; PERFORMANCE LIQUID-CHROMATOGRAPHY; QUALITY-OF-LIFE; 11999 ALPHA-GALACTOSIDASE; CLINICAL-MANIFESTATIONS; AGALSIDASE-ALPHA; OUTCOME 12000 SURVEY; QUANTITATIVE-DETERMINATION 12001 AB Fabry disease is a rare and underrecognized disease associated with an 12002 altered X-linked gene controlling hydrolase alphagalactosidase A 12003 activity This mutation impairs the glycosphingolipid metabolism. 12004 A multisystemic disease with a highly variable clinical presentation, 12005 its principal symptom is acroparesthesia. Manifestations of Fabry 12006 disease occur mostly in hemizygous moles but also in heterozygous 12007 females. 12008 Before enzyme replacement therapy was available, lite expectancy was 12009 about So years in men and 70 years in women. 12010 Early diagnosis is essential to prevent irreversible organ damage. 12011 Diagnosis is based on on assay of alpha-galactosidase A activity in 12012 mole patients and on genetic analysis in female patients. 12013 Prognosis is related principally to three complications: involvement of 12014 the central nervous system, kidneys, and heart. 12015 Management of Fabry patients should in all cases combine symptomatic 12016 therapy and regular clinical, laboratory and morphological follow-up by 12017 specialists in genetic metabolic diseases. 12018 Enzyme replacement therapy should be considered in all adult mole 12019 patients and should probably begin early In adult heterozygous female 12020 patients and in children, this treatment should be considered only for 12021 patients with severe pain, argon damage, or central nervous system, 12022 kidney or heart involvement. 12023 After a proband is identified, a genealogical tree should be used to 12024 identify other affected members of the family. 12025 C1 Hop Bichat Claude Bernard, Serv Med Interne, F-75722 Paris 18, France. 12026 CHU Rouen, Hop Charles Nicolle, Lab Biochim Med, F-76031 Rouen, France. 12027 CHU Bordeaux, Hop Pellegrin, Federat Neurosci Clin, Bordeaux, France. 12028 CHU St Eloi, Serv Med Interne & Malad Vasc, Montpellier, France. 12029 Hop Tenon, Serv Dermatol, F-75970 Paris, France. 12030 Hop Necker Enfants Malad, Serv Nephrol, Paris, France. 12031 CHU Amiens, Serv Nephrol & Transplantat, Amiens, France. 12032 Hop Enfants La Timone, F-13385 Marseille, France. 12033 Hop Pellegrin, Biochim Lab, F-33076 Bordeaux, France. 12034 CHU Reims, Serv Med Interne & Mala Infect, Hop Robert Debre, Reims, France. 12035 RP Lidove, O, Hop Bichat Claude Bernard, Serv Med Interne, 46 Rue Henri 12036 Huchard, F-75722 Paris 18, France. 12037 EM olivier.lidove@bch.aphp.fr 12038 CR BORRY P, 2005, GENET COUNSEL, V16, P341 12039 BRANTON MH, 2002, MEDICINE, V81, P122 12040 BREUNIG F, 2006, KIDNEY INT, V69, P1216 12041 BROWN LK, 1997, AM J RESP CRIT CARE, V155, P1004 12042 CHOY YS, 1999, ANN HUM GENET 5, V63, P383 12043 DEEGAN PB, 2006, J MED GENET, V43, P347 12044 DESNICK RJ, 1973, J LAB CLIN MED, V81, P157 12045 DESNICK RJ, 2001, METABOLIC MOL BASES, P3733 12046 DOBROVOLNY R, 2005, AM J MED GENET A A, V134, P84 12047 DOBROVOLNY R, 2005, J MOL MED-JMM, V83, P647 12048 ENG CM, 2001, NEW ENGL J MED, V345, P9 12049 FULLER M, 2005, CLIN CHEM, V51, P688 12050 GERMAIN DP, 2002, BMC MED GENET, V3, P10 12051 GLASS RBJ, 2004, J COMPUT ASSIST TOMO, V28, P158 12052 GOLD KF, 2002, QUAL LIFE RES, V11, P317 12053 GREWAL RP, 1993, INT J PSYCHIAT MED, V23, P307 12054 GROSS E, 1999, HUM GENET, V105, P72 12055 GUPTA S, 2005, MEDICINE, V84, P261 12056 HAJIOFF D, 2003, J INHERIT METAB DIS, V26, P787 12057 INDERBITZIN D, 2005, TRANSPLANT P, V37, P4211 12058 KITAGAWA T, 2005, MOL GENET METAB, V85, P196 12059 LACOMBE D, 2003, ARCH PEDIATR, V10, S71 12060 LENOIR G, 1977, ARCH FR PEDIATR, V34, P704 12061 LIDOVE D, 2006, IN PERSS INT J CLIN 12062 LIDOVE O, 2006, INT J CLIN PRACT, V60, P1053 12063 LIDOVE O, 2006, MED THERAP, V2, P355 12064 LIDOVE O, 2006, PRESSE MED 1, V35, P933 12065 LINTHORST GE, 2004, KIDNEY INT, V66, P1589 12066 LOCKMAN LA, 1973, NEUROLOGY, V23, P871 12067 MACDERMOT KD, 2001, J MED GENET, V38, P750 12068 MACDERMOT KD, 2001, J MED GENET, V38, P769 12069 MACMAHON S, 2001, LANCET, V358, P1033 12070 MEHTA A, 2004, EUR J CLIN INVEST, V34, P236 12071 MEIKLE PJ, 1999, JAMA-J AM MED ASSOC, V281, P249 12072 MILLIGAN A, 2006, BR J NURS, V15, P330 12073 MILLS K, 2002, FEBS LETT, V515, P171 12074 MILLS K, 2005, J INHERIT METAB DIS, V28, P35 12075 MINERS AH, 2002, QUAL LIFE RES, V11, P127 12076 MITSIAS P, 1996, ANN NEUROL, V40, P8 12077 MOHRENSCHLAGER M, 2003, AM J CLIN DERMATOL, V4, P189 12078 NAKAO S, 1995, NEW ENGL J MED, V333, P288 12079 PENTTINEN M, 2004, DUODECIM, V120, P2407 12080 REDONNETVERNHET I, 1996, J MED GENET, V33, P682 12081 RIES M, 2003, J INHERIT METAB DIS, V26, P413 12082 RODDY TP, 2005, CLIN CHEM, V51, P237 12083 RODRIGUEZMARI A, 2003, HUM MUTAT, V22, P258 12084 ROSENTHAL D, 2004, AM J KIDNEY DIS, V44 12085 SCHIFFMANN R, 2001, JAMA-J AM MED ASSOC, V285, P2743 12086 SCHIFFMANN R, 2006, NEPHROL DIAL TRANSPL, V21, P345 12087 SHABBEER J, 2005, HUM MUTAT, V25, P299 12088 SHABBEER J, 2006, HUM GENOMICS, V2, P297 12089 THADHANI R, 2002, KIDNEY INT, V61, P249 12090 TSAKIRIS D, 1996, NEPHROL DIAL TRAN S7, V11, P4 12091 WENDT S, 2005, J INHERIT METAB DIS, V28, P787 12092 WHITFIELD PD, 2005, J INHERIT METAB DIS, V28, P21 12093 WHYBRA C, 2001, J INHERIT METAB DIS, V24, P715 12094 WHYBRA C, 2004, CLIN GENET, V65, P299 12095 WILCOX WR, 2004, AM J HUM GENET, V75, P65 12096 YOUNG E, 2005, ACTA PAEDIATR S447, V94, P51 12097 ZEIDNER KM, 1999, ANAL BIOCHEM, V267, P104 12098 NR 60 12099 TC 0 12100 PU MASSON EDITEUR 12101 PI MOULINEAUX CEDEX 9 12102 PA 21 STREET CAMILLE DESMOULINS, ISSY, 92789 MOULINEAUX CEDEX 9, FRANCE 12103 SN 0755-4982 12104 J9 PRESSE MEDICALE 12105 JI Presse Med. 12106 PD JUL-AUG 12107 PY 2007 12108 VL 36 12109 IS 7-8 12110 BP 1084 12111 EP 1097 12112 PG 14 12113 SC Medicine, General & Internal 12114 GA 192EM 12115 UT ISI:000248183600007 12116 ER 12117 12118 PT J 12119 AU Kolehmainen, J 12120 Mutikainen, P 12121 AF Kolehmainen, Johanna 12122 Mutikainen, Pia 12123 TI Population stage structure, survival and recruitment in the endangered 12124 East African forest herb Saintpaulia 12125 SO PLANT ECOLOGY 12126 LA English 12127 DT Article 12128 DE African violet; Eastern Arc; mountains; gesneriaceae; habitat quality; 12129 life history; seasonality 12130 ID FRAGMENTATION; MANAGEMENT; SEEDLINGS; TRILLIUM; TANZANIA; DROUGHT; 12131 VIOLETS 12132 AB Climatic seasonality, local habitat quality, and edge effects created 12133 by forest fragmentation due to human activity may affect the 12134 performance of endangered rain forest under-story herbs. Viability and 12135 seasonal dynamics of the populations of the endangered Saintpaidia 12136 confusa, S. difficilis, and S. grotei were studied in a protected 12137 seasonal submontane forest in NE Tanzania by examining plant 12138 life-history traits, population stage structure, and the effects of 12139 habitat quality on plant performance. The population stage structures 12140 were of the dynamic type. There was a lower frequency of seedlings 12141 (57.9%) and higher frequency of juvenile (13.3%) and adult plants 12142 (28.8%) in S. confusa than in S. difficilis (74%, 10.7% and 15.3%, 12143 respectively). Seedling, recruitment occurred from May to August with 12144 an average of 54, 103 and 38 emerged seedlings per 1 m(2) study plot 12145 (S. confusa. S. difficilis, and S. grotei, respectively). Presence of 12146 the seed bank was also an indication of the regeneration potential of 12147 the populations. Mortality was high during the dry and hot season from 12148 December to March. Survival was lowest in juvenile plants, higher in 12149 sterile adult plants and the highest in fertile adult plants. Because 12150 survival was the lowest on dry substrates under open canopy, our data 12151 suggest that forest fragmentation, by reducing shade and humidity, will 12152 increase mortality in Saintpaulia. Furthermore, since the mortality was 12153 highest in seedlings and juveniles, forest fragmentation is likely to 12154 impede the regeneration of the Saintpaulia populations. 12155 C1 Univ Helsinki, Dept Appl Biol, FIN-00014 Helsinki, Finland. 12156 Univ Oulu, Dept Biol, Oulu 90014, Finland. 12157 RP Kolehmainen, J, Univ Helsinki, Dept Appl Biol, POB 27, FIN-00014 12158 Helsinki, Finland. 12159 EM johanna.kolehmainen@helsinki.fi 12160 pia.mutikainen@oulu.fi 12161 CR *IUCN, 1994, IUCN RED LIST CAT 12162 ARISUMI T, 1964, J HERED, V55, P181 12163 BAATVIK ST, 1993, FRAGM FLOR GEOBOT S, V2, P97 12164 BASKIN CC, 2001, SEEDS ECOLOGY BIOGEO 12165 BURTT BL, 1958, NOTES ROYAL BOTANIC, V22, P547 12166 CASWELL H, 1989, MATRIX POPULATION MO 12167 EASTWOOD A, 1998, CURTIS BOT MAG, V15, P49 12168 ECKSTEIN RL, 2004, ACTA OECOL, V25, P83 12169 ENGELBRECHT BMJ, 2003, OECOLOGIA, V136, P383 12170 GENTRY AH, 1992, OIKOS, V63, P19 12171 GUREVITCH J, 2002, ECOLOGY PLANTS 12172 HAMILTON AC, 1989, FOREST CONSERVATION, P241 12173 HILL J, 1999, AFRICAN VIOLETS COMP 12174 HUTCHINGS MJ, 1991, MONITORING CONSERVAT, P61 12175 JOHANSSON DR, 1978, BIOL CONSERV, V14, P45 12176 JULES ES, 1998, ECOLOGY, V79, P1645 12177 KOLEHMAINEN JK, 2006, AFR J ECOL, V44, P219 12178 MATHER S, 1989, FOREST CONSERVATION, P181 12179 MYERS N, 1988, ENVIRONMENTALIST, V8, P187 12180 NEWMAN M, 1998, ARCHITECTURE, V87, P29 12181 OOSTERMEIJER JGB, 1994, J APPL ECOL, V31, P428 12182 POORTER L, 2000, J TROP ECOL 4, V16, P481 12183 RIBA M, 2002, J VEG SCI, V13, P259 12184 RICHARDS PW, 1996, TROPICAL RAIN FOREST 12185 SAUNDERS DA, 1991, CONSERV BIOL, V5, P18 12186 SILVERTOWN JW, 1995, INTRO PLANT POPULATI 12187 STINSON RF, 1954, PROC AM SOC HORT SCI, V64, P459 12188 TOMIMATSU H, 2004, BIOL CONSERV, V117, P509 12189 WILLIAMS ST, 1974, BIOLOGY PLANT LITTER, V2, P611 12190 NR 29 12191 TC 0 12192 PU SPRINGER 12193 PI DORDRECHT 12194 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 12195 SN 1385-0237 12196 J9 PLANT ECOL 12197 JI Plant Ecol. 12198 PD SEP 12199 PY 2007 12200 VL 192 12201 IS 1 12202 BP 85 12203 EP 95 12204 PG 11 12205 SC Plant Sciences; Ecology; Forestry 12206 GA 206SV 12207 UT ISI:000249204100007 12208 ER 12209 12210 PT J 12211 AU Maubon, D 12212 Brenier-Pinchart, MP 12213 Fricker-Hidalgo, H 12214 Pelloux, H 12215 AF Maubon, D. 12216 Brenier-Pinchart, M.-P. 12217 Fricker-Hidalgo, H. 12218 Pelloux, H. 12219 TI Real-time PCR in the diagnosis of toxoplasmosis: the way to 12220 standardisation? 12221 SO PATHOLOGIE BIOLOGIE 12222 LA French 12223 DT Review 12224 DE toxoplasmosis; toxoplasma gondii; diagnosis; Real-Time-PCR 12225 ID POLYMERASE-CHAIN-REACTION; TRANSFER HYBRIDIZATION PROBES; INTERNAL 12226 AMPLIFICATION CONTROL; STEM-CELL TRANSPLANTATION; CONGENITAL 12227 TOXOPLASMOSIS; QUANTITATIVE PCR; PRENATAL-DIAGNOSIS; AMNIOTIC-FLUID; 12228 MATERNOFETAL TRANSMISSION; OCULAR TOXOPLASMOSIS 12229 AB Severity of toxoplasmosis is highly correlated to the immune status of 12230 the infected individual. Foetus and immunocompromised patient are 12231 mostly at risk to develop life threatening forms. In this situation, 12232 serological diagnosis gives poor information. DNA detection using 12233 polymerase-chain-reaction technology (PCR) has significantly improved 12234 the management of this disease. Even so, the growing number of 12235 conventional PCR assays has finally led to variable performance 12236 results. Real-Time PCR (RT-PCR) in toxoplasmosis has been developed 12237 since 2000. This new technology can improve standardisation. Moreover, 12238 quantification of parasitic load in samples becomes possible. This 12239 review describes the main RT-PCR procedures actually under use and the 12240 studies comparing different target genes. The effective benefit of 12241 quantification is also discussed. Reducing number of procedures and 12242 more systematic external quality control should be considered, in order 12243 to improve reliability in PCR results, which has undoubtedly become a 12244 major tool in toxoplasmosis diagnosis. (c) 2007 Elsevier Masson SAS. 12245 Tons droits reserves. 12246 C1 CHU Grenoble, Dept Agents Infectieux, F-38043 Grenoble 09, France. 12247 RP Maubon, D, CHU Grenoble, Dept Agents Infectieux, F-38043 Grenoble 09, 12248 France. 12249 EM dmaubon@chu-grenoble.fr 12250 CR BARKHAM T, 2004, J CLIN MICROBIOL, V42, P3379 12251 BASTIEN P, 2002, T R SOC TROP MED S1, V96, S205 12252 BOTTEREL F, 2002, J CLIN MICROBIOL, V40, P1648 12253 BRENIERPINCHART MP, 2004, ACTA NEUROPATHOL, V107, P245 12254 BRETAGNE S, 1995, J CLIN MICROBIOL, V33, P1662 12255 BUCHBINDER S, 2003, DIAGN MICR INFEC DIS, V45, P269 12256 BURG JL, 1989, J CLIN MICROBIOL, V27, P1787 12257 CASSAING S, 2006, J CLIN MICROBIOL, V44, P720 12258 CAZENAVE J, 1992, PRENATAL DIAG, V12, P119 12259 CONTINI C, 2005, INT J PARASITOL, V35, P275 12260 CONTINI C, 2006, J MED MICROBIOL, V55, P771 12261 COSTA JM, 2000, J CLIN MICROBIOL, V38, P2929 12262 COSTA JM, 2001, BONE MARROW TRANSPL, V28, P527 12263 COSTA JM, 2001, PRENATAL DIAG, V21, P85 12264 DEROUIN F, 2005, TOXOPLASMA GONDII 12265 DWORKIN LL, 2002, ARCH OPHTHALMOL-CHIC, V120, P1534 12266 EDVINSSON B, 2006, CLIN MICROBIOL INFEC, V12, P131 12267 FILISETTI D, 2003, J CLIN MICROBIOL, V41, P4826 12268 FLORI P, 2002, J MED MICROBIOL, V51, P871 12269 FLORI P, 2003, PARASITE, V10, P133 12270 FLORI P, 2006, PARASITOL RES, V98, P511 12271 HOHLFELD P, 1994, NEW ENGL J MED, V331, P695 12272 HOMAN WL, 2000, INT J PARASITOL, V30, P69 12273 HOORFAR J, 2003, J CLIN MICROBIOL, V41, P5835 12274 JAUREGUI LH, 2001, J CLIN MICROBIOL, V39, P2065 12275 JONES CD, 2000, INVEST OPHTH VIS SCI, V41, P634 12276 KAISER K, 2006, IN PRESS CLIN CHIM A 12277 KUPFERSCHMIDT O, 2001, CLIN MICROBIOL INFEC, V7, P120 12278 LEE PYC, 1999, J CLIN PATHOL, V52, P61 12279 LIN MH, 2000, J CLIN MICROBIOL, V38, P4121 12280 MARTINO R, 2005, CLIN INFECT DIS, V40, P67 12281 NAGY B, 2006, CLIN CHIM ACTA, V368, P131 12282 NOROSE K, 1996, AM J OPHTHALMOL, V121, P441 12283 ORDINAIRE I, 2005, ANN BIOL CLIN-PARIS, V63, P67 12284 PELLOUX H, 1998, FEMS MICROBIOL LETT, V165, P231 12285 REISCHL U, 2003, BMC INFECT DIS, V3 12286 ROMAND S, 2000, CONGENITAL TOXOPLASM, P131 12287 ROMAND S, 2004, AM J OBSTET GYNECOL, V190, P797 12288 ROTH A, 1992, EUR J CLIN MICROBIOL, V11, P1177 12289 SIMON A, 2004, J CLIN MICROBIOL, V42, P3681 12290 TSE C, 2003, ANN BIOL CLIN-PARIS, V61, P279 12291 VERHOFSTEDE C, 1993, AIDS, V7, P1539 12292 WASTLING JM, 1993, J MED MICROBIOL, V38, P360 12293 NR 43 12294 TC 0 12295 PU ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER 12296 PI PARIS 12297 PA 23 RUE LINOIS, 75724 PARIS, FRANCE 12298 SN 0369-8114 12299 J9 PATHOL BIOL 12300 JI Pathol. Biol. 12301 PD JUL 12302 PY 2007 12303 VL 55 12304 IS 6 12305 BP 304 12306 EP 311 12307 PG 8 12308 SC Pathology 12309 GA 203UU 12310 UT ISI:000249000300008 12311 ER 12312 12313 PT J 12314 AU Scherson, ID 12315 Valencia, DS 12316 Cauich, E 12317 AF Scherson, Isaac D. 12318 Valencia, Daniel S. 12319 Cauich, Enrique 12320 TI Service address routing: a network-embedded resource management layer 12321 for cluster computing 12322 SO PARALLEL COMPUTING 12323 LA English 12324 DT Article 12325 DE distributed resource discovery; service address routing; intelligent 12326 interconnection networks 12327 AB Service address routing is introduced as a novel and powerful paradigm 12328 for the integration of resource management functions into the 12329 interconnection fabric of cluster computers. SAR provides a "location 12330 independent" mechanism for the distribution of computations (services) 12331 among the computational resources of the cluster. The intelligence to 12332 allocate services and, later on, invoke their instantiation is embedded 12333 into intelligent switching devices [Isaac D. Scherson, C.-K. Chien, 12334 Least common ancestor networks, VLSI Design 2(4) (1995) 353-364]. 12335 Invocation of services is effected transparently to requesting nodes by 12336 these network-embedded management functions. Thus, applications can 12337 benefit from the inherent parallelism of the cluster while being 12338 totally unaware of the specific "location" where required services are 12339 rendered. The performance of SAR's service discovery mechanism in 12340 hierarchical Least Common Ancestor Networks is studied by means of 12341 simulating two different system configurations: level-global knowledge 12342 and Level Caches. It is shown that searches using Level Caches work 12343 better than level-global knowledge for a typical scientific computing 12344 workload. (c) 2007 Elsevier B.V. All rights reserved. 12345 C1 Univ Calif Irvine, Dept Comp Sci Syst, Bren Sch Informat & Comp Sci, Irvine, CA 92697 USA. 12346 RP Scherson, ID, Univ Calif Irvine, Dept Comp Sci Syst, Bren Sch Informat 12347 & Comp Sci, Irvine, CA 92697 USA. 12348 EM isaac@ics.uci.edu 12349 CR PARALLEL WORKLOAD AR 12350 PVM PARALLEL VIRTUAL 12351 *MPI, MPI MESS PASS INT ST 12352 *MPI, MPI2 12353 CARON E, 2005, INT HIGH PERFORM COM 12354 CORNHILL D, 1983, ADA LETT, V3, P79 12355 MARTI S, 2002, CARMEN DYNAMIC SERVI 12356 PFISTER GF, 1993, ADV PARALLEL DISTRIB 12357 SCHERSON ID, 1995, VLSI DESIGN, V2, P353 12358 SCHERSON ID, 2005, P INT S PAR ARCH ALG 12359 TANENBAUM AS, 2002, DISTRIBUTED SYSTEMS 12360 VINOSKI S, 1997, IEEE COMMUN MAG, V35, P46 12361 WALDO J, 1999, COMMUN ACM, V42, P76 12362 NR 13 12363 TC 0 12364 PU ELSEVIER SCIENCE BV 12365 PI AMSTERDAM 12366 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 12367 SN 0167-8191 12368 J9 PARALLEL COMPUT 12369 JI Parallel Comput. 12370 PD AUG 12371 PY 2007 12372 VL 33 12373 IS 7-8 12374 BP 561 12375 EP 571 12376 PG 11 12377 SC Computer Science, Theory & Methods 12378 GA 203KC 12379 UT ISI:000248972500006 12380 ER 12381 12382 PT J 12383 AU Jie, W 12384 Cai, WT 12385 Wang, L 12386 Procter, R 12387 AF Jie, Wei 12388 Cai, Wentong 12389 Wang, Lizhe 12390 Procter, Rob 12391 TI A secure information service for monitoring large scale grids 12392 SO PARALLEL COMPUTING 12393 LA English 12394 DT Article 12395 DE grid computing; information service; grid security; peer-to-peer; 12396 performance 12397 ID IMPLEMENTATION 12398 AB The Grid Information Service (GIS) is a core component in the Grid 12399 software infrastructure. It provides diverse information to users or 12400 other service components in Grid environments. In this paper, we 12401 propose a scalable GIS architecture for information management in a 12402 large scale Grid Virtual Organization (VO). This architecture consists 12403 of the VO layer, site layer and resource layer: at the resource layer, 12404 information agents and pluggable information sensors are deployed on 12405 each resource monitored. This information agent and sensor approach 12406 provides a flexible framework that enables specific information to be 12407 captured; at the site layer, a site information service component with 12408 caching capability aggregates and maintains up-to-date information of 12409 all the resources monitored within an administrative domain, at the VO 12410 layer, a peer-to-peer approach is used to build a virtual network of 12411 site information services for information discovery and query in a 12412 large scale Grid VO. This decentralized approach makes information 12413 management scalable and robust. Furthermore, we propose a security 12414 framework for the GIS, which provide security policies for 12415 authentication and authorization control of the GIS at both the site 12416 and the VO layers. Our GIS has been implemented based on the Globus 12417 Toolkit 4 as Web services compliant to Web Services Resource Framework 12418 (WSRF) specifications. The experimental results show that the GIS 12419 presents satisfactory scalability in handling information for large 12420 scale Grids. (c) 2007 Elsevier B.V. All rights reserved. 12421 C1 Univ Manchester, Natl Ctr Esocial Sci, Manchester M13 9PL, Lancs, England. 12422 Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore. 12423 Res Ctr Karlsruhe, Inst Comp Sci, Karlsruhe, Germany. 12424 RP Jie, W, Univ Manchester, Natl Ctr Esocial Sci, Manchester M13 9PL, 12425 Lancs, England. 12426 EM wei.jie@manchester.ac.uk 12427 CR HAWKEYE 12428 JAVACC 12429 *GLOB, GLOB TOOLK 4 12430 *GLOB, GLOB TOOLK 12431 ANDREW S, 2001, MODERN OPERATING SYS 12432 BAVIER A, 2004, P 1 NETW SYST DES IM 12433 COOKE A, 2003, P 11 INT C COOP INF 12434 CZAJKOWSKI K, 2001, P 10 IEEE INT S HIGH, P181 12435 FITZGERALD S, 1997, P 6 IEEE S HIGH PERF, P365 12436 FOSTER I, 1998, P ACM C COMP SEC 12437 FOSTER I, 2001, INT J HIGH PERFORM C, V15, P200 12438 HO QT, 2006, P 6 IEEE INT S CLUST, P305 12439 JIE W, 2005, J SUPERCOMPUTING, V34, P273 12440 LITZKOW MJ, 1988, P 8 INT C DISTR COMP 12441 MASSIE ML, 2004, PARALLEL COMPUT, V30, P817 12442 NEWMAN HB, 2003, P 2003 COMP HIGH ENE 12443 RHEA S, 2005, P ACM SIGCOMM 12444 ROWSTRON A, 2001, P 18 IFIP ACM INT C 12445 STOICA I, 2001, P ACM SIGCOMM, P149 12446 WALL L, 2000, PROGRAMMING PERL 12447 ZHANG X, 2003, P 12 IEEE INT S HIGH 12448 NR 21 12449 TC 0 12450 PU ELSEVIER SCIENCE BV 12451 PI AMSTERDAM 12452 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 12453 SN 0167-8191 12454 J9 PARALLEL COMPUT 12455 JI Parallel Comput. 12456 PD AUG 12457 PY 2007 12458 VL 33 12459 IS 7-8 12460 BP 572 12461 EP 591 12462 PG 20 12463 SC Computer Science, Theory & Methods 12464 GA 203KC 12465 UT ISI:000248972500007 12466 ER 12467 12468 PT J 12469 AU Matthern, GE 12470 Yancey, NA 12471 Knudson, DL 12472 Hanson, DI 12473 AF Matthern, Gretchen E. 12474 Yancey, Neal A. 12475 Knudson, Darrel L. 12476 Hanson, Duane I. 12477 TI Use of a paraffin-based grout to stabilize buried beryllium and other 12478 wastes 12479 SO NUCLEAR TECHNOLOGY 12480 LA English 12481 DT Article 12482 DE beryllium; WAXFIX; waste 12483 ID SOIL 12484 AB The long-term durability of WAXFIX, a paraffin-based grout, was 12485 evaluated for in situ grouting of activated beryllium wastes in the 12486 subsurface disposal area (SDA), a radioactive landfill at the 12487 Radioactive Waste Management Complex, part of the Idaho National 12488 Laboratory (INL). The evaluation considered radiological and biological 12489 mechanisms that could degrade the grout using data from an extensive 12490 literature search and previous tests of in situ grouting at the INL. 12491 Conservative radioactive doses for WAXFIX were calculated from the 12492 "hottest" (i.e., highest-activity) Advanced Test Reactor beryllium 12493 block in the SDA. These results indicate that WAXFIX would not 12494 experience extensive radiation damage for many hundreds of years. 12495 Calculation of radiation-induced hydrogen generation in WAXFIX 12496 indicated that grout physical performance should not be reduced beyond 12497 the effects of radiation dose on the molecular structure. Degradation 12498 of a paraffin-based grout by microorganisms in the SDA is possible and 12499 perhaps likely, but the rate of degradation will be at a slower rate 12500 than found in the literature reviewed. The calculations showed the 12501 outer 0.46-m (18-in.) layer of each monolith, which represents the 12502 minimum expected distance to the beryllium block, was calculated to 12503 require 1000 to 3600yr to be consumed. The existing data and 12504 estimations of biodegradation and radiolysis rates for WAXFIX/paraffin 12505 do not indicate any immediate problems with the use of WAXFIX for 12506 grouting beryllium or other wastes in the SDA. 12507 C1 Idaho Natl Lab, Idaho Falls, ID 83415 USA. 12508 RP Matthern, GE, Idaho Natl Lab, POB 1625, Idaho Falls, ID 83415 USA. 12509 EM Gretchen.Matthem@inl.gov 12510 CR 1989, 8974 US GEOL SURV 12511 2003, 6569235, US 12512 2004, ABSTRACTS PETROLEUM, P1 12513 2004, EDF4397 ID NAT ENG E 12514 *GROV ENG, 2003, MICROSHIELD VERS 6 12515 BISHOP MD, 1990, BIOL PARAFFIN CONTRO, P56 12516 BLENKINSOPP SA, 1992, P INT S GAS OIL COAL, P419 12517 BOLZ RE, 1983, CRC HDB TABLES APPL 12518 BROWN LR, 1987, CHEM ENG PROG, V83, P35 12519 CROFF AG, 1980, ORNL5G21 12520 DAVIE IN, 1995, TAPPI, V78, P127 12521 DECHERT TV, 1994, EGGWM11049 ID NAT EN 12522 FERGUSON KR, 1996, SOC PETR ENG ANN TEC 12523 HANSON DJ, 2004, ICPEXT0400300 ID NAT 12524 HEISER JH, 1997, HMP49 MSE TECHN APPL 12525 KUYUKINA MS, 2003, SOIL SEDIMENT CONTAM, V12, P85 12526 LEAHY JG, 1990, MICROBIOL REV, V54, P305 12527 MAHMOOD FM, 1972, J INDIAN CHEM SOC, V49, P10 12528 MARINO F, 1998, THESIS MCGILL U DEP 12529 MILIAN LW, 1997, BNL64958 12530 MINCHER BJ, 2004, RADIOCHIM ACTA, V92, P55 12531 MULLEN CK, 2003, INEELEXT0101678 12532 PONSFORD AP, 1966, BRIT COAL UTILISATIO, V30, P2 12533 RIGHTMIRE CT, 1987, 874198 US GEOL SURV 12534 ROSENBERG E, 1991, PROCARYOTES, V1, P446 12535 SORIANO AU, 2002, 9 ANN INT C PETR ENV 12536 UNGAR G, 1980, BIENN C POLYM PHYS W, V21 12537 UNGAR G, 1980, POLYMER NOV, V21 12538 NR 28 12539 TC 0 12540 PU AMER NUCLEAR SOC 12541 PI LA GRANGE PK 12542 PA 555 N KENSINGTON AVE, LA GRANGE PK, IL 60526 USA 12543 SN 0029-5450 12544 J9 NUCL TECHNOL 12545 JI Nucl. Technol. 12546 PD SEP 12547 PY 2007 12548 VL 159 12549 IS 3 12550 BP 250 12551 EP 255 12552 PG 6 12553 SC Nuclear Science & Technology 12554 GA 204RG 12555 UT ISI:000249061100006 12556 ER 12557 12558 PT J 12559 AU Beyer, MK 12560 Larsen, JP 12561 Aarsland, D 12562 AF Beyer, Mona K. 12563 Larsen, Jan P. 12564 Aarsland, Dag 12565 TI Gray matter atrophy in Parkinson disease with dementia and dementia 12566 with Lewy bodies 12567 SO NEUROLOGY 12568 LA English 12569 DT Article 12570 ID VOXEL-BASED MORPHOMETRY; ALZHEIMERS-DISEASE; VISUAL HALLUCINATIONS; 12571 CLINICAL-DIAGNOSIS; CEREBRAL ATROPHY; PERFORMANCE; CONSORTIUM; 12572 MANAGEMENT; SPECT; SCALE 12573 AB Background: The nosologic relationship between dementia with Lewy 12574 bodies (DLB) and Parkinson disease with dementia (PDD) is continuously 12575 being debated. We conducted a study using voxel-based morphometry (VBM) 12576 to explore the pattern of cortical atrophy in DLB and PDD. 12577 Methods: Seventy-four patients and healthy elderly were imaged (healthy 12578 elderly n = 20, PDD n = 15, DLB n = 18, and Alzheimer dementia [AD] n = 12579 21). Three dimensional T1-weighted MRI were acquired, and images 12580 analyzed using VBM. The following diagnostic criteria were used: 12581 criteria proposed by the third report of the DLB Consortium for DLB, 12582 the National Institute of Neurological and Communicative Disorders and 12583 Stroke and the Alzheimer's Disease and Related Diseases Association 12584 criteria for AD, and Diagnostic and Statistical Manual of Mental 12585 Disorders, fourth edition criteria for dementia in PDD. 12586 Results: Overall dementia severity was similar in the dementia groups. 12587 We found more pronounced cortical atrophy in DLB than in PDD in the 12588 temporal, parietal, and occipital lobes. Patients with AD had reduced 12589 gray matter concentrations in the temporal lobes bilaterally, including 12590 the amygdala, compared to PDD. Compared to DLB, the AD group had 12591 temporal and frontal lobe atrophy. 12592 Conclusion: We found that despite a similar severity of dementia, 12593 patients with dementia with Lewy bodies (DLB) had more cortical atrophy 12594 than patients with Parkinson disease with dementia (PDD), indicating 12595 different brain substrates underlying dementia in the two syndromes. 12596 Together with previous studies reporting subtle clinical and 12597 neurobiologic differences between DLB and PDD, our findings support the 12598 hypothesis that PDD and DLB are not identical entities, but rather 12599 represent two subtypes of a spectrum of Lewy body disease. 12600 C1 Stavanger Univ Hosp, Dept Radiol, N-4068 Stavanger, Norway. 12601 Stavanger Univ Hosp, Dept Neurol, Stavanger, Norway. 12602 Stavanger Univ Hosp, Norwegian Ctr Movement Disorders, Stavanger, Norway. 12603 Stavanger Univ Hosp, Dept Geriatr Psychiat, Stavanger, Norway. 12604 RP Beyer, MK, Stavanger Univ Hosp, Dept Radiol, POB 8100, N-4068 12605 Stavanger, Norway. 12606 EM bemk@sus.no 12607 CR *AM PSYCH ASS, 1996, DIAGN STAT MAN MENT 12608 AARSLAND D, 2001, INT J GERIATR PSYCH, V16, P528 12609 AARSLAND D, 2003, J NEUROL NEUROSUR PS, V74, P1215 12610 AARSLAND D, 2005, ANN NEUROL, V58, P773 12611 ASHBURNER J, 2000, NEUROIMAGE 1, V11, P805 12612 BALLARD C, 2006, NEUROLOGY, V67, P1931 12613 BEYER MK, 2006, J NEUROL NEUROSURG P 12614 BIBL M, 2006, BRAIN 5, V129, P1177 12615 BURTON EJ, 2002, NEUROIMAGE, V17, P618 12616 BURTON EJ, 2004, BRAIN 4, V127, P791 12617 COLOSIMO C, 2003, J NEUROL NEUROSUR PS, V74, P852 12618 CORMACK F, 2004, INT J GERIATR PSYCH, V19, P371 12619 CUMMINGS JL, 1994, NEUROLOGY, V44, P2308 12620 DOWNES JJ, 1998, BEHAV NEUROL, V11, P173 12621 FIRBANK M, 2003, NEUROIMAGE, V20, P1309 12622 FOLSTEIN MF, 1975, J PSYCHIAT RES, V12, P198 12623 FRISTON KJ, 1996, NEUROIMAGE 1, V4, P223 12624 GESER F, 2005, MOVEMENT DISORD S12, V20, S11 12625 GNANALINGHAM KK, 1997, J NEUROL NEUROSUR PS, V62, P243 12626 GOOD CD, 2001, NEUROIMAGE 1, V14, P21 12627 HARDING AJ, 2001, ACTA NEUROPATHOL, V102, P355 12628 HARDING AJ, 2002, BRAIN 2, V125, P391 12629 HOEHN MM, 1967, NEUROLOGY, V17, P427 12630 LANCASTER JL, 2000, HUM BRAIN MAPP, V10, P120 12631 LARSEN JP, 1994, ACTA NEUROL SCAND, V89, P242 12632 LOBOTESIS K, 2001, NEUROLOGY, V56, P643 12633 MATTIS S, 1976, DEMENTIA RATING SCAL 12634 MCKEITH I, 2004, LANCET NEUROL, V3, P19 12635 MCKEITH IG, 1996, NEUROLOGY, V47, P1113 12636 MCKEITH IG, 2005, NEUROLOGY, V65, P1863 12637 MCKHANN G, 1984, NEUROLOGY, V34, P939 12638 MOLLOY S, 2005, J NEUROL NEUROSUR PS, V76, P1200 12639 MONTGOMERY SA, 1979, BRIT J PSYCHIAT, V134, P382 12640 MOSIMANN UP, 2004, NEUROLOGY, V63, P2091 12641 MOSIMANN UP, 2006, AM J GERIAT PSYCHIAT, V14, P153 12642 NOE E, 2004, MOVEMENT DISORD, V19, P60 12643 OBRIEN JT, 2004, ARCH NEUROL-CHICAGO, V61, P919 12644 RICHARD IH, 2002, MOVEMENT DISORD, V17, P1161 12645 ROTH M, 1986, BRIT J PSYCHIAT, V149, P698 12646 TALAIRACH J, 1988, COPLANAR STEREOTAXIC 12647 TANDBERG E, 1995, MOVEMENT DISORD, V10, P541 12648 TSUBOI Y, 2005, PARKINSONISM RELA S1, V11, S47 12649 NR 42 12650 TC 1 12651 PU LIPPINCOTT WILLIAMS & WILKINS 12652 PI PHILADELPHIA 12653 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 12654 SN 0028-3878 12655 J9 NEUROLOGY 12656 JI Neurology 12657 PD AUG 21 12658 PY 2007 12659 VL 69 12660 IS 8 12661 BP 747 12662 EP 754 12663 PG 8 12664 SC Clinical Neurology 12665 GA 202GD 12666 UT ISI:000248889100007 12667 ER 12668 12669 PT J 12670 AU Kato, H 12671 Sugitani, C 12672 AF Kato, Hiroshi 12673 Sugitani, Chouei 12674 TI Wide gamut display using LED backlight - Technical developments and 12675 actual products 12676 SO NEC TECHNICAL JOURNAL 12677 LA English 12678 DT Article 12679 DE display; wide gamut; LED; backlight; color management; color calibration 12680 AB Color management is an efficient means of ensuring the quality of color 12681 reproduction and is regarded as being one of the major issues in the 12682 printing industry. It is a total technology that manages the color 12683 reproduction of input devices such as scanners and digital cameras and 12684 of output devices such as display monitors and printers. It also 12685 ensures that satisfactory controls are applied throughout the process 12686 as far as the final printing. In color management, the display monitors 12687 must be able to offer a display performance that confirms a stable and 12688 long term, quality color finish. For this purpose, an LCD panel with a 12689 wide field angle was developed that features a wider color reproduction 12690 gamut and more impressive luminance/chrominance stability than has been 12691 available with previous display monitors. 12692 NR 0 12693 TC 0 12694 PU NEC CORPORATION 12695 PI TOKYO 12696 PA EXTERNAL RELATIONS DIVISION, 7-1 SHIBA 5-CHOME, MINATO-KU, TOKYO, 12697 108-01, JAPAN 12698 SN 1880-5884 12699 J9 NEC TECH J 12700 JI NEC Tech J. 12701 PD JUL 12702 PY 2006 12703 VL 1 12704 IS 3 12705 BP 75 12706 EP 79 12707 PG 5 12708 GA 202GK 12709 UT ISI:000248889800014 12710 ER 12711 12712 PT J 12713 AU Norifusa, M 12714 Goto, J 12715 Morino, J 12716 Yanoo, K 12717 Sakaki, H 12718 Terasaki, H 12719 AF Norifusa, Masaya 12720 Goto, Jun 12721 Morino, Junichi 12722 Yanoo, Kazuo 12723 Sakaki, Hiroshi 12724 Terasaki, Hiroshi 12725 TI "Cooperative Security" breaks the limits of traditional security 12726 measures 12727 SO NEC TECHNICAL JOURNAL 12728 LA English 12729 DT Article 12730 DE cooperative security; coordination of security management; InfoCage 12731 series; linkages with partner vendor products 12732 AB Just as broadband networking, high-performance and light-weight laptops 12733 and useful applications have significantly improved enterprise IT 12734 environments, the targets and complexities of security management have 12735 also tended to increase significantly. Actions against security 12736 problems are now required to be performed in no delay. The resulting 12737 movement of information and its carrying devices have produced many 12738 security issues that cannot be dealt with by a single, static security 12739 countermesure. In order to deal effectively with this situation, this 12740 paper proposes the notion of "cooperative security." Cooperative 12741 security allows security countermeasure utilities with different target 12742 domains to be mutually linked, thus achieving double or triple security 12743 management of the information and its carrying devices as well as 12744 maintaining a high security level for the enterprise. The new InfoCage 12745 series is a suite of utilities for implementing such management 12746 policies. It is also planned that "cooperative security" will be 12747 extended to the partner vendor products in order to enhance security 12748 linkages to the applications of other business fields such as paper 12749 documents and floor entrance/exit management systems, etc. 12750 C1 NEC Corp Ltd, Internet Syst Res Labs, Cent Res Labs, Tokyo, Japan. 12751 NR 0 12752 TC 0 12753 PU NEC CORPORATION 12754 PI TOKYO 12755 PA EXTERNAL RELATIONS DIVISION, 7-1 SHIBA 5-CHOME, MINATO-KU, TOKYO, 12756 108-01, JAPAN 12757 SN 1880-5884 12758 J9 NEC TECH J 12759 JI NEC Tech J. 12760 PD MAR 12761 PY 2007 12762 VL 2 12763 IS 1 12764 BP 11 12765 EP 16 12766 PG 6 12767 GA 202GC 12768 UT ISI:000248889000001 12769 ER 12770 12771 PT J 12772 AU Kawamura, K 12773 Suzuki, K 12774 Horikawa, T 12775 Yamashita, T 12776 Sakaki, D 12777 AF Kawamura, Kantou 12778 Suzuki, Kazuaki 12779 Horikawa, Takashi 12780 Yamashita, Toshiaki 12781 Sakaki, Daiya 12782 TI Performance Measurement/Analysis tool "mevalet" 12783 SO NEC TECHNICAL JOURNAL 12784 LA English 12785 DT Article 12786 DE performance; performance measurement; analysis; embedding; development 12787 environment 12788 AB Recently embedded software development has noticeably been increasing 12789 in scale and complexity, and reductions in the delivery term and 12790 improvements in development efficiency have now become critical 12791 management issues. To deal with them, NEC has developed a performance 12792 measurement/analysis tool called "mevalet," which is compatible with 12793 Linux running on ARM CPU, and features an added data save function 12794 using a miniSD card instead of a data transfer function that uses the 12795 network. This tool has improved the development efficiency 12796 significantly, making it possible to solve a performance issue that has 12797 not previously been solvable however hard we tried. This paper is 12798 intended to introduce this tool together with a description of cases in 12799 which it was actually applied in in-house embedded software development. 12800 NR 0 12801 TC 0 12802 PU NEC CORPORATION 12803 PI TOKYO 12804 PA EXTERNAL RELATIONS DIVISION, 7-1 SHIBA 5-CHOME, MINATO-KU, TOKYO, 12805 108-01, JAPAN 12806 SN 1880-5884 12807 J9 NEC TECH J 12808 JI NEC Tech J. 12809 PD JUN 12810 PY 2007 12811 VL 2 12812 IS 2 12813 BP 31 12814 EP 33 12815 PG 3 12816 GA 202GJ 12817 UT ISI:000248889700006 12818 ER 12819 12820 PT J 12821 AU Nguyen, JM 12822 Six, P 12823 Chaussalet, T 12824 Antonioli, D 12825 Lombrail, P 12826 Le Beux, P 12827 AF Nguyen, J. M. 12828 Six, P. 12829 Chaussalet, T. 12830 Antonioli, D. 12831 Lombrail, P. 12832 Le Beux, P. 12833 TI An objective method for bed capacity planning in a hospital department 12834 - A comparison with target ratio methods 12835 SO METHODS OF INFORMATION IN MEDICINE 12836 LA English 12837 DT Article 12838 DE capacity management; hospital beds; optimization; capacity planning; 12839 health core management 12840 ID INTENSIVE-CARE UNITS; SIMULATION-MODEL; REQUIREMENTS; DEPARTMENTS 12841 AB Objectives: To propose an objective approach in order to determine the 12842 number of beds required for a hospital department by considering how 12843 recruitment fluctuates over time. To compare this approach with 12844 classical bed capacity planning techniques. 12845 Methods. A simulated data-based evaluation of the impact that the 12846 variability in hospital department activity produces upon the 12847 performance of methods used for determining the number of beds 12848 required. The evaluation criteria included productive efficiency 12849 measured by the bed occupancy rate, accessibility measured by the 12850 transfer rate of patients due to lack of available beds and a proxy of 12851 clinical effectiveness, by the proportion of days during which there is 12852 no possibility for unscheduled admission. 12853 Results: When the variability of the number of daily patients 12854 increases, the Target Occupancy Rate favors productive efficiency at 12855 the expense of accessibility and proxy clinical effectiveness. On the 12856 contrary, when the variability of the department activity is marginal, 12857 the Target Activity Rate penalizes the proxy of clinical effectiveness, 12858 and the Target Occupancy Rate under-optimizes productive efficiency. 12859 The method we propose led to a superior performance in terms of 12860 accessibility and proxy of clinical effectiveness at the expense of 12861 productive efficiency. Such a situation is suitable for intensive care 12862 units. In the case of other departments, a weighting procedure should 12863 be used to improve productive efficiency. 12864 Conclusions. This approach could be considered as the first step of a 12865 family of methods for quantitative healthcare planning. 12866 C1 CHU Nantes, Hop St Jacques, PIMESP, F-44093 Nantes 1, France. 12867 CHU Angers, Dept Med Informat, Angers, France. 12868 Univ Westminster, Sch Informat, London W1R 8AL, England. 12869 CHU Rennes, Lab Informat Med, Rennes, France. 12870 RP Nguyen, JM, CHU Nantes, Hop St Jacques, PIMESP, Rue St Jacques, F-44093 12871 Nantes 1, France. 12872 EM jmnguyen@chu-nantes.fr 12873 CR ASEFZADEH S, 1996, WORLD HOSP HLTH SERV, V32, P2 12874 BAGUST A, 1999, BRIT MED J, V319, P155 12875 CHAUSSALET TJ, 2006, METHOD INFORM MED, V45, P492 12876 COSTA AX, 2003, ANAESTHESIA, V58, P320 12877 ELDARZI E, 1998, HLTH CARE MANAGE SCI, V1, P143 12878 GAYNOR M, 1995, J HEALTH ECON, V14, P291 12879 GORUNESCU F, 2002, J OPER RES SOC, V53, P19 12880 GREEN LV, 2001, HEALTH SERV RES, V36, P421 12881 HARPER PR, 2002, HLTH CARE MANAG SCI, V5, P165 12882 HARRISON GW, 1991, METHOD INFORM MED, V30, P221 12883 MACKAY M, 2001, HLTH CARE MANAG SCI, V4, P47 12884 METCALFE MA, 1997, LANCET, V350, P7 12885 NGUYEN JM, BEDS SIMULATOR 2 0 12886 NGUYEN JM, 2002, 21 INT BIOM C FREIB, P142 12887 NGUYEN JM, 2003, INTENS CARE MED, V29, P849 12888 NGUYEN JM, 2003, STUD HLTH TECHNOL IN, V95, P310 12889 NGUYEN JM, 2005, INT J MED INFORM, V74, P39 12890 RIDGE JC, 1998, EUR J OPER RES, V105, P346 12891 ROMANINJACUR G, 1987, EUR J OPER RES, V29, P192 12892 STGEORGE D, 1988, BRIT MED J, V297, P729 12893 UTLEY M, 2003, EUR J OPER RES, V150, P92 12894 VASSILACOPOULOS G, 1985, SIMULATION, V45, P233 12895 NR 22 12896 TC 0 12897 PU SCHATTAUER GMBH-VERLAG MEDIZIN NATURWISSENSCHAFTEN 12898 PI STUTTGART 12899 PA HOLDERLINSTRASSE 3, D-70174 STUTTGART, GERMANY 12900 SN 0026-1270 12901 J9 METHODS INFORM MED 12902 JI Methods Inf. Med. 12903 PY 2007 12904 VL 46 12905 IS 4 12906 BP 399 12907 EP 405 12908 PG 7 12909 SC Computer Science, Information Systems; Health Care Sciences & Services; 12910 Medical Informatics 12911 GA 205DP 12912 UT ISI:000249094000003 12913 ER 12914 12915 PT J 12916 AU Free, CM 12917 Ellis, M 12918 Beggs, L 12919 Beggs, D 12920 Morgan, SA 12921 Baldwin, DR 12922 AF Free, C. M. 12923 Ellis, M. 12924 Beggs, L. 12925 Beggs, D. 12926 Morgan, S. A. 12927 Baldwin, D. R. 12928 TI Lung cancer outcomes at a UK cancer unit between 1998-2001 12929 SO LUNG CANCER 12930 LA English 12931 DT Article 12932 DE lung cancer; NSCLC; survival; treatment; surgery 12933 ID CHEMOTHERAPY; SURVIVAL; TRIAL; RADIOTHERAPY; MANAGEMENT; CARE 12934 AB There are few data published on lung cancer survival in the UK. 12935 Survival rates for lung cancer at a UK Hospital between 1998-2001 are 12936 described. 12937 Methods: Analysis of data collected from multidisciplinary team (MDT) 12938 meetings, lung cancer registrations and hospital coding. 12939 Results: 835 new lung cancers were diagnosed comprising 597 non-small 12940 cell lung cancers (NSCLC) (71%), 133 small cell (SCLC) (16%), and 105 12941 clinical diagnoses (13%). Stage at diagnosis; stage I (25%), II (9%), 12942 IIIA (8%), IIIB (23%), IV (35%). Surgery was undertaken in 12%, radical 12943 radiotherapy (RT) in 4%, palliative RT in 32%, chemotherapy in 8% and 12944 best supportive care (BSC) in 36%. The 3-year cumulative survival for 12945 NSCLC was: stage I 39%, stage II 30%, stage III 6%, stage IV 0.5%. Only 12946 46% of patients with stage I-IIIA disease received radical treatment. 12947 Reasons included poor lung function (32%), unresectable (24%), 12948 co-morbidities (17%), performance status (8%), patient choice (8%), 12949 unclear (6%), advanced age (5%). 12950 Conclusions: Survival figures are similar to other UK studies but do 12951 not compare favourably with US and European data. This may be because a 12952 large proportion of patients with early stage disease receive 12953 palliative care only. (C) 2007 Elsevier Ireland Ltd. All rights 12954 reserved. 12955 C1 City Hosp Nottingham, Dept Resp Med, Nottingham NG5 1BP, England. 12956 City Hosp Nottingham, Dept Thorac Surg, Nottingham NG5 1BP, England. 12957 City Hosp Nottingham, Dept Oncol, Nottingham NG5 1BP, England. 12958 RP Free, CM, City Hosp Nottingham, Dept Resp Med, Nottingham NG5 1BP, 12959 England. 12960 EM catherinefree@btinternet.com 12961 CR *CANC RES UK, UK LUNG CANC SMOK ST 12962 *HLTH DEP AG, 2004, SMOK EP ENGL 12963 *NOTT CIT PRIM CAR, 2006, NOTT CIT HLTH FLOOR 12964 *THAM CANC REG, 2003, CANC S E ENGL 12965 ALBAIN KS, 1991, J CLIN ONCOL, V9, P1618 12966 FAIRLAMB D, 2005, RADIOTHER ONCOL, V75, P134 12967 GREGOR A, 2001, THORAX, V56, P212 12968 MARTINUCAR AE, 2004, LUNG CANCER, V46, P277 12969 MOUNTAIN CF, 1997, CHEST, V111, P1710 12970 SANT M, 2003, ANN ONCOL, V14, P61 12971 SAUNDERS M, 1999, RADIOTHER ONCOL, V52, P137 12972 SCHILLER JH, 2001, ONCOLOGY-BASEL S1, V61, P1 12973 SMITH W, 2004, SEMIN ONCOL S4, V31, P11 12974 SPIRO SG, 2004, THORAX, V59, P828 12975 WALLER D, 2004, EUR J CARDIO-THORAC, V26, P173 12976 NR 15 12977 TC 0 12978 PU ELSEVIER IRELAND LTD 12979 PI CLARE 12980 PA ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, 12981 IRELAND 12982 SN 0169-5002 12983 J9 LUNG CANCER 12984 JI Lung Cancer 12985 PD AUG 12986 PY 2007 12987 VL 57 12988 IS 2 12989 BP 222 12990 EP 228 12991 PG 7 12992 SC Oncology; Respiratory System 12993 GA 205UB 12994 UT ISI:000249139000014 12995 ER 12996 12997 PT J 12998 AU van der Walt, HS 12999 Pickworth, G 13000 AF van der Walt, H. S. 13001 Pickworth, Glynis 13002 TI Personality and academic performance of three cohorts of veterinary 13003 students in South Africa 13004 SO JOURNAL OF VETERINARY MEDICAL EDUCATION 13005 LA English 13006 DT Article 13007 DE personality and academic performance; 16 personality factor 13008 questionnaire; veterinary medical education 13009 ID SCHOOL ADMISSION INTERVIEWS 13010 AB To aid in selecting students for admission to undergraduate veterinary 13011 training, admissions procedures often take into account students' 13012 previous academic performance as well as the results of an interview. 13013 The study reported here investigated the relationship between 13014 personality and academic success. Students from three entry cohorts to 13015 the second year of study of a six-year BVSc program at the University 13016 of Pretoria completed the 16 Personality Factor Questionnaire. A 13017 meta-analytic approach was used to estimate the relationship between 13018 academic performance in two major final-year subjects and academic 13019 performance on entry, an interview score, and the personality factors. 13020 The study confirmed the value of previous academic performance and the 13021 interview in selecting students for the veterinary degree program. The 13022 findings also indicate that the inclusion of a measure of intellectual 13023 ability could be of value. The value of various personality 13024 characteristics in predicting good study habits and examination 13025 performance is highlighted by the study results: students were more 13026 successful if they were conscientious, emotionally stable, socially 13027 adept, self-disciplined, practical rather than imaginative, and relaxed 13028 rather than anxious. It appears worthwhile to consider including an 13029 appropriate personality questionnaire in the selection process to 13030 improve the accuracy of predictions of students' success. A sound 13031 personality make-up will not only increase the likelihood of academic 13032 success but should also be beneficial in the successful management of a 13033 veterinary practice and in enjoying veterinary science as a career. 13034 C1 Independent Practice, ZA-0129 Pretoria, South Africa. 13035 Univ Pretoria, Fac Vet Sci, ZA-0110 Onderstepoort, South Africa. 13036 RP van der Walt, HS, Independent Practice, POB 15547, ZA-0129 Pretoria, 13037 South Africa. 13038 EM elynis.pickworth@up.ac.za 13039 CR *HSRC, 1966, 16 PERS FACT QUEST 1 13040 BARRICK MR, 2001, INT J SELECT ASSESS, V9, P9 13041 BOEYENS JCA, 1990, MANUAL CONCEPTUAL RE 13042 BORENSTEIN M, 1999, COMPREHENSIVE META A 13043 CATTELL RB, 1970, HDB 16 PF 13044 COSTA PT, 1992, REV NEO PERSONALITY 13045 EDMONDSON KM, 2002, J VET MED EDUC, V29, P94 13046 ESTERHUYSE KGF, 1995, ACTA ACAD, V27, P129 13047 FERGUSON F, 2003, BRIT MED J, V326, P429 13048 HUNTER JE, 1990, METHODS META ANAL 13049 KAPUSTA RL, 1980, DISS ABSTR INT, V41, P2467 13050 LEWIS RE, 2004, J VET MED EDUC, V31, P128 13051 MADGE EM, 1967, SUMMARY EXISTING KNO 13052 MARTIN JH, 2004, 2004 SIOP C CHIC IL 13053 MEIR E, 1982, J VOCAT BEHAV, V21, P309 13054 TURNWALD GH, 2001, J VET MED EDUC, V28, P111 13055 VANDERWALT HS, 1991, APPL JL HOLLANDS JOB 13056 VANDERWALT HS, 1995, PROGRAM ASSESSING CA 13057 VANDERWALT HS, 2002, ANN SIOPSA C PRET JU 13058 WALSH DA, 2002, J VET MED EDUC, V29, P36 13059 NR 20 13060 TC 0 13061 PU UNIV TORONTO PRESS INC 13062 PI TORONTO 13063 PA JOURNALS DIVISION, 5201 DUFFERIN ST, DOWNSVIEW, TORONTO, ON M3H 5T8, 13064 CANADA 13065 SN 0748-321X 13066 J9 J VET MED EDUC 13067 JI J. Vet. Med. Educ. 13068 PD SUM 13069 PY 2007 13070 VL 34 13071 IS 3 13072 BP 356 13073 EP 365 13074 PG 10 13075 SC Veterinary Sciences 13076 GA 204VY 13077 UT ISI:000249073300023 13078 ER 13079 13080 PT J 13081 AU Ajayi, OC 13082 AF Ajayi, O. C. 13083 TI User acceptability of sustainable soil fertility technologies: Lessons 13084 from farmers' knowledge, attitude and practice in southern Africa 13085 SO JOURNAL OF SUSTAINABLE AGRICULTURE 13086 LA English 13087 DT Article 13088 DE agroforestry; farmer perceptions; improved fallow; participatory 13089 research; sustainable agriculture; Zambia 13090 ID IMPROVED FALLOWS; EASTERN ZAMBIA; PLANTED-FALLOWS; ADOPTION; 13091 PERCEPTIONS; MODEL 13092 AB Low soil fertility is one of the greatest biophysical constraints to 13093 agricultural production in sub-Saharan Africa. "Improved fallow," an 13094 agroforestry-based soil fertility replenishment technology was 13095 developed in response to the depletion of soil fertility and increasing 13096 difficulty of small-scale farmers to afford mineral fertilizers. The 13097 biophysical performance of the technology to improve soil fertility and 13098 increase crop yield has been well demonstrated and efforts are being 13099 made to enhance the adoption its adoption by farmers. There is 13100 relatively little information and systematic feedback regarding 13101 farmers' perception and knowledge of the technology. Using data 13102 collected from a stratified sample of 302 farmers in Zambia, this study 13103 analyzed farmers' knowledge, attitudes, and perceptions of soil 13104 fertility and food Security problems, highlighting implications for 13105 user acceptability and the development of sustainable soil fertility 13106 management technologies. Results show that farmers have good 13107 understanding of soil fertility issues, its linkage to food security 13108 and household welfare indicators. They appreciate improved fallow 13109 because it responds to the critical problems of low soil fertility and 13110 provides additional benefits to the household. However, there are some 13111 challenges to the widespread uptake of the technology including land 13112 constraints, property rights availability of seeds, and 13113 knowledge-intensive nature of the technology. Farmer acceptability and 13114 improved adoption of the technology will be influenced by the extent to 13115 which efforts are taken to meet these challenaes. Farmers' response on 13116 knowledge, attitude, and perception provides valuable inputs for 13117 further development and modification of the technology. Beyond 13118 technology development, an understanding of farmers' preference and 13119 other contextual issues-within which the technology is expected to be 13120 adopted-will enable researchers to develop appropriate sustainable 13121 technologies and enhance user acceptability of the same. The study 13122 shows that technical characteristics are important but not exclusive 13123 conditions for farmers' acceptability and adoption of good agricultural 13124 technologies by farmers. 13125 C1 Chitedze Agr Res Stn, Lilongwe 03, Malawi. 13126 RP Ajayi, OC, Chitedze Agr Res Stn, POB 30798, Lilongwe 03, Malawi. 13127 EM ajayi@gmx.net 13128 CR *NEPAD, 2003, COMPR AFR AGR DEV PR 13129 ADESINA AA, 1993, AGR ECON, V9, P297 13130 ADESINA AA, 1995, AGR ECON, V13, P1 13131 AJAYI OC, 2003, AGROFOREST SYST, V59, P317 13132 AJAYI OC, 2003, AGROFOREST SYST, V59, P327 13133 AJAYI OC, 2004, CGIARS STAND PAN IMP 13134 AYUK ET, 1997, AGR SYST, V54, P187 13135 BEKUNDA MA, 1997, SSSA SPECIAL PUBLICA, V51, P63 13136 CHIRWA TS, 2003, AGROFOREST SYST, V59, P243 13137 FLETT R, 2004, AGR SYST, V80, P199 13138 FRANZEL S, 2001, AGR SYST, V69, P37 13139 FRANZEL S, 2002, TREES FARM ASSESSING, P37 13140 HAGGBLADE H, 2004, 9 FOOD SEC RES PROJ 13141 HOWARD JA, 1996, 61 MSU 13142 KWESIGA F, 1994, FOREST ECOL MANAG, V64, P199 13143 KWESIGA F, 2005, 130 IFPRI 13144 KWESIGA FR, 1999, AGROFOREST SYST, V47, P49 13145 MAFONGOYA PL, 2003, AGROFOREST SYST, V59, P279 13146 MCDONALD DG, 1994, AGR ECOSYST ENVIRON, V48, P219 13147 OTSUKA K, 2001, LAND TENURE NATURAL 13148 PETERSON J, 1999, ZAMBIA INTEGRATED AG 13149 PLACE F, 2003, 160 IFPRI 13150 SANCHEZ PA, 1999, AGROFOREST SYST, V47, P3 13151 SCHERR SJ, 1991, AGROFOREST SYST, V13, P235 13152 SCHROTH G, 2003, TREES CROPS SOIL FER, P1 13153 SCOONES I, 1999, POLICIES SOIL FERTIL 13154 SMALING EMA, 1997, SSSA SPECIAL PUBLICA, V51, P47 13155 TILMAN D, 2005, J ENVIRON ECON MANAG, V49, P405 13156 NR 28 13157 TC 0 13158 PU HAWORTH PRESS INC 13159 PI BINGHAMTON 13160 PA 10 ALICE ST, BINGHAMTON, NY 13904-1580 USA 13161 SN 1044-0046 13162 J9 J SUSTAINABLE AGR 13163 JI J. Sustain. Agric. 13164 PY 2007 13165 VL 30 13166 IS 3 13167 BP 21 13168 EP 40 13169 PG 20 13170 SC Agriculture, Multidisciplinary 13171 GA 203PJ 13172 UT ISI:000248986200003 13173 ER 13174 13175 PT J 13176 AU Ghosh, A 13177 AF Ghosh, A. 13178 TI Sustainable impact of in situ leguminous green manuring on grain yield 13179 and n utilization patterns of rainfed lowland rice (Oryza sativa) grown 13180 under different cropping geometries 13181 SO JOURNAL OF SUSTAINABLE AGRICULTURE 13182 LA English 13183 DT Article 13184 DE grain yield; green manure; green gram; N accumulation; N utilization; 13185 tainted lowland; rice 13186 ID NITROGEN; PERFORMANCE 13187 AB Rice needs adequate nitrogen, particularly under rainfed lowland 13188 situation, to ensure its growth for optimum grain yield. Traditional 13189 practice of applying entire dose of N fertilizer during sowing causes 13190 its low recovery. Nonetheless, it does not sustain over subsequent 13191 growth of rice, mainly due to uncontrolled waterlogged situation. Green 13192 manuring along with chemical N application was reported as advantageous 13193 ensuring sustained availability of adequate N over the period. A field 13194 study on green manuring, rice under rainfed lowland situation was 13195 conducted during wet seasons in 2001 to 2004 in the Central Rice 13196 Research Institute, Cuttack, India. The photosensitive, tall and 13197 long-duration rice variety, Durga was grown along with green gram 13198 (Phaseolus radiatus) for green manuring under three mixed cropping 13199 stands, that is, additive system, replacement system, and 13200 broadcast-sown stands. Green gram, also known as mung bean, is a widely 13201 grown pulse crop. As a leguminous crop, it is capable of contributing 13202 considerable amount of green matter and N into the soil. Thus it can be 13203 used for green manuring to facilitate N nutrition to the rice grown in 13204 its association. Rice was sown at 15 x 20 cm spacing (plant x row), 13205 except in broadcast-sown stands where rice and green gram seeds were 13206 mixed thoroughly before sowing and broadcasted evenly without 13207 maintaining any plant/row arrangement. In the additive system, one row 13208 of green gram was intercropped after emery two consecutive rice rows, 13209 when Usual row spacing was changed therein. Thus the adjacent rice rows 13210 were 10 cm apart from green gram row. In the replacement system, one 13211 rice row after every two consecutive rice rows was replaced with one 13212 row of green gram without changing usual row spacing, that is, the 13213 adjacent rice rows were 20 cm apart from green gram row. These 13214 green-manured mixed stands were compared with two pure stands of rice, 13215 that is, rice grown with usual dose of 40 kg N/ha and rice grown 13216 without N. Similar management practices were followed for both the 13217 crops altogether and no additional fertilizers were applied in green 13218 gram. Growth dynamics of green gram as evidenced from its plant height 13219 and dry matter recorded at regular intervval showed no variation over 13220 the years. It was incorporated into the soil at its flowering stage 13221 accumlating 7.00 to 25.60 kg N/ha over the years under different 13222 stands. Rice growth due to green manuring in the replacement system 13223 remained consistently better than other stands in all the years. As a 13224 consequence, rice under the replacement system significantly 13225 out-yielded other stands producing 2.41 to 2.52 t/ha over the years, 13226 which was at par with that treated with fertilizer N alone (2.48 and 13227 2.60 t/ha), while grain yield (2.12 to 2.20 t/ha) under the additive 13228 system was significantly higher than broadcast-sown crop (1.77 and 1.84 13229 t/ha). In addition,N utilization pattern revealed that crops under the 13230 replacement system derived higher Agronomic efficiency (43.50 to 53.50 13231 kg grain/kg N applied), N uptake (27.75 to 29.30 kg/ha), and N recovery 13232 (56.25 to 66.00%, respectively) over the years as compared with that in 13233 other cropping geometry. 13234 C1 Cent Rice Res Inst, Cuttack 753006, Orissa, India. 13235 RP Ghosh, A, Cent Rice Res Inst, Cuttack 753006, Orissa, India. 13236 EM riceghosh@yahoo.com 13237 CR 2004, RICE PRODUCTION COUR, P2 13238 CLAR DJ, 1995, PROGR PROBLEMS EXTEN, P141 13239 GHOSH A, 1999, J AGR SCI 4, V132, P461 13240 GHOSH A, 2000, IND FARMING, V45, P57 13241 GHOSH A, 2007, IN PRESS IND J AGRON 13242 LADHA JK, 1988, GREEN MANURE RICE FA, P165 13243 MOHANTY SK, 1999, NUTR CYCL AGROECOSYS, V53, P43 13244 PANDA D, 2004, P NAT S REC ADV RIC, P114 13245 PUCKRIDGE DW, 1991, FIELD CROP RES, V27, P315 13246 SHARMA AR, 2000, NUTR CYCL AGROECOSYS, V57, P141 13247 SINGH Y, 1991, ADV AGRON, V45, P135 13248 UPHOFF N, 2003, INT J AGR SUSTAINABI, V1, P38 13249 NR 12 13250 TC 0 13251 PU HAWORTH PRESS INC 13252 PI BINGHAMTON 13253 PA 10 ALICE ST, BINGHAMTON, NY 13904-1580 USA 13254 SN 1044-0046 13255 J9 J SUSTAINABLE AGR 13256 JI J. Sustain. Agric. 13257 PY 2007 13258 VL 30 13259 IS 3 13260 BP 71 13261 EP 86 13262 PG 16 13263 SC Agriculture, Multidisciplinary 13264 GA 203PJ 13265 UT ISI:000248986200005 13266 ER 13267 13268 PT J 13269 AU Fishbach, A 13270 Labroo, AA 13271 AF Fishbach, Ayelet 13272 Labroo, Aparna A. 13273 TI Be better or be merry: How mood affects self-control 13274 SO JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY 13275 LA English 13276 DT Article 13277 DE self-control; self-regulation; mood; accessibility; goals 13278 ID BEHAVIORAL-APPROACH SYSTEM; POSITIVE AFFECT; AFFECTIVE STATES; FEELING 13279 GOOD; EMOTIONS; GRATIFICATION; PERFORMANCE; ACTIVATION; MOTIVATION; 13280 RESOURCE 13281 AB In 6 studies, the authors tested whether the effect of mood on 13282 self-control success depends on a person's accessible goal. We propose 13283 that positive mood signals a person to adopt an accessible goal, 13284 whereas negative mood signals a person to reject an accessible goal; 13285 therefore, if a self-improvement goal is accessible, happy (vs. neutral 13286 or unhappy) people perform better on self-control tasks that further 13287 that goal. Conversely, if a mood management goal is accessible, happy 13288 people abstain from self-control tasks because the tasks are 13289 incompatible with this goal. This pattern receives consistent support 13290 across several self-control tasks, including donating to charity, 13291 demonstrating physical endurance, seeking negative feedback, and 13292 completing tests. 13293 C1 Univ Chicago, Grad Sch Business, Chicago, IL 60637 USA. 13294 RP Fishbach, A, Univ Chicago, Grad Sch Business, 5807 S Woodlawn Ave, 13295 Chicago, IL 60637 USA. 13296 EM ayelet.fishbach@chicagogsb.edu 13297 aparna.labroo@chicagogsb.edu 13298 CR AARTS H, 2000, J PERS SOC PSYCHOL, V78, P53 13299 ASPINWALL LG, 1997, PSYCHOL BULL, V121, P417 13300 ASPINWALL LG, 1998, MOTIV EMOTION, V22, P1 13301 BARGH JA, 1999, AM PSYCHOL, V54, P462 13302 BARGH JA, 2000, HDB RES METHODS SOCI, P253 13303 BARGH JA, 2001, J PERS SOC PSYCHOL, V81, P1014 13304 CACIOPPO JT, 1999, J PERS SOC PSYCHOL, V76, P839 13305 CARVER CS, 1994, J PERS SOC PSYCHOL, V67, P319 13306 CARVER CS, 1998, SELF REGULATION BEHA 13307 CARVER CS, 2004, EMOTION, V4, P3 13308 DEPUE RA, 1999, BEHAV BRAIN SCI, V22, P491 13309 DHAR R, 2000, J MARKETING RES, V37, P60 13310 DIENER E, 2000, AM PSYCHOL, V55, P34 13311 EKMAN P, 1992, COGNITION EMOTION, V6, P169 13312 ERBER R, 1992, J EXP SOC PSYCHOL, V28, P339 13313 FAZIO RH, 1990, REV PERSONALITY SOCI, V11, P74 13314 FERGUSON MJ, 2004, J PERS SOC PSYCHOL, V87, P557 13315 FISHBACH A, 2003, J PERS SOC PSYCHOL, V84, P296 13316 FISHBACH A, 2005, J EXP SOC PSYCHOL, V41, P256 13317 FOWLES DC, 1987, J RES PERS, V21, P417 13318 FRANK RH, 2004, WHAT PRICE MORAL HIG 13319 GILBERT DT, 1998, J PERS SOC PSYCHOL, V75, P617 13320 GINERSOROLLA R, 2001, J PERS SOC PSYCHOL, V80, P206 13321 GOLLWITZER PM, 1999, AM PSYCHOL, V54, P493 13322 GOLLWITZER PM, 2005, NEW UNCONSCIOUS, P485 13323 GONZAGA GC, 2001, J PERS SOC PSYCHOL, V81, P247 13324 GRAY JA, 1994, NATURE EMOTION FUNDA, P329 13325 HANDLEY IM, 2004, J EXP SOC PSYCHOL, V40, P106 13326 HARMONJONES E, 2003, PERS INDIV DIFFER, V35, P995 13327 HIGGINS ET, 1987, PSYCHOL REV, V94, P319 13328 HIGGINS ET, 1997, AM PSYCHOL, V52, P1280 13329 HIRT ER, 1996, J PERS SOC PSYCHOL, V71, P245 13330 HSEE CK, 1991, J PERS SOC PSYCHOL, V60, P341 13331 ISEN AM, 1978, SOCIAL PSYCHOL, V41, P346 13332 ISEN AM, 1985, J PERS SOC PSYCHOL, V48, P1413 13333 ISEN AM, 1987, J PERS SOC PSYCHOL, V52, P1122 13334 ISEN AM, 2004, MOTIV EMOTION, V28, P43 13335 KAHNEMAN D, 2000, CHOICES VALUES FRAME, P673 13336 KELTNER D, 1999, COGNITION EMOTION, V13, P467 13337 KELTNER D, 1999, COGNITION EMOTION, V13, P505 13338 KRUGLANSKI AW, 1996, PSYCHOL ACTION LINKI, P599 13339 KRUGLANSKI AW, 2002, ADV EXP SOC PSYCHOL, V34, P331 13340 LARSEN JT, 2001, J PERS SOC PSYCHOL, V81, P684 13341 LAZARUS RS, 1991, AM PSYCHOL, V46, P352 13342 LEITH KP, 1996, J PERS SOC PSYCHOL, V71, P1250 13343 LIEBERMAN MD, IN PRESS PSYCHOL SCI 13344 LOCKE EA, 1990, THEORY GOAL SETTING 13345 LOEWENSTEIN G, 1996, ORGAN BEHAV HUM DEC, V65, P272 13346 MACRAE CN, 1998, SOC COGNITION, V16, P400 13347 MARTIN LL, 1993, J PERS SOC PSYCHOL, V64, P317 13348 MEDNICK MT, 1964, J ABNORMAL SOCIAL PS, V69, P84 13349 METCALFE J, 1999, PSYCHOL REV, V106, P3 13350 MOORE B, 1976, CHILD DEV, V47, P273 13351 MURAVEN M, 1998, J PERS SOC PSYCHOL, V74, P774 13352 RAGHUNATHAN R, 2002, J PERS SOC PSYCHOL, V83, P510 13353 SCHWARZ JC, 1977, J RES PERS, V11, P147 13354 SCHWARZ N, 1983, J PERS SOC PSYCHOL, V45, P513 13355 SCHWARZ N, 1990, HDB MOTIVATION COGNI, V2, P527 13356 SCHWARZ N, 2003, PSYCHOL INQ, V14, P296 13357 SRULL TK, 1979, J PERS SOC PSYCHOL, V37, P1660 13358 TAMIR M, 2004, J PERS SOC PSYCHOL, V87, P913 13359 TAMIR M, 2005, J PERS SOC PSYCHOL, V89, P449 13360 THALER RH, 1981, J POLITICAL EC, V89, P392 13361 TICE DM, 2001, J PERS SOC PSYCHOL, V80, P53 13362 TROPE Y, 1994, J PERS SOC PSYCHOL, V66, P646 13363 TROPE Y, 1998, MOTIV EMOTION, V22, P53 13364 WEGENER DT, 1994, J PERS SOC PSYCHOL, V66, P1034 13365 WEGENER DT, 2001, THEORIES MOOD COGNIT, P177 13366 WYER RS, 1999, ADV EXPT SOCIAL PSYC, V31, P1 13367 ZHANG Y, 2005, J CONSUM PSYCHOL, V15, P316 13368 NR 70 13369 TC 0 13370 PU AMER PSYCHOLOGICAL ASSOC/EDUCATIONAL PUBLISHING FOUNDATION 13371 PI WASHINGTON 13372 PA 750 FIRST ST NE, WASHINGTON, DC 20002-4242 USA 13373 SN 0022-3514 13374 J9 J PERSONAL SOC PSYCHOL 13375 JI J. Pers. Soc. Psychol. 13376 PD AUG 13377 PY 2007 13378 VL 93 13379 IS 2 13380 BP 158 13381 EP 173 13382 PG 16 13383 SC Psychology, Social 13384 GA 194JU 13385 UT ISI:000248341500002 13386 ER 13387 13388 PT J 13389 AU Davis, A 13390 Barnes, C 13391 AF Davis, Amanda 13392 Barnes, Chris 13393 TI Thrombotic thrombocytopenic purpura in childhood: An uncommon but 13394 life-threatening cause of thrombocytopenia 13395 SO JOURNAL OF PAEDIATRICS AND CHILD HEALTH 13396 LA English 13397 DT Article 13398 DE ADAMTS-13; hemolytic anemia; thrombotic thrombocyto-penic purpura 13399 ID VON-WILLEBRAND-FACTOR; HEMOLYTIC-UREMIC SYNDROME; FACTOR-CLEAVING 13400 PROTEASE; ADAMTS-13; CHILDREN; PLASMA; DIAGNOSIS; TTP 13401 AB Thrombotic thrombocytopenic purpura (TTP) is a life-threatening 13402 disorder characterised by microangiopathic haemolytic anaemia, 13403 thrombocytopenia and signs of ischaemic organ dysfunction such as 13404 neurological or renal impairment and fever. The diagnosis of TTP should 13405 be considered in any child presenting with thrombocytopenia, in 13406 particular those children with microangiopathic haemolysis, atypical 13407 immune thrombocytopenia purpura or Evan's syndrome. Distinguishing TTP 13408 from haemolytic uraemic syndrome is difficult, but where there is doubt 13409 about the diagnosis, a presumptive diagnosis of TTP should be made to 13410 allow potentially life-saving therapy with therapeutic plasma exchange. 13411 Recent advances in the molecular basis of the disease have resulted in 13412 assays for ADAMTS-13 activity, inhibitor levels and ADAMTS-13 mutation 13413 analysis. These assays help to distinguish TTP from haemolytic uraemic 13414 syndrome. However, the performance characteristics of these assays in 13415 the diagnosis and management of TTP are yet to be defined. 13416 C1 Royal Childrens & Womens Hosp, Dept Haematol, Melbourne, Vic, Australia. 13417 RP Davis, A, Massachusetts Gen Hosp, Blood Transfus Serv, 55th Fruit Str, 13418 Boston, MA 02114 USA. 13419 EM akdavis@partners.org 13420 CR ALLFORD SL, 2003, BRIT J HAEMATOL, V120, P556 13421 ASHIDA A, 2002, AM J HEMATOL, V71, P318 13422 FURLAN M, 1996, BLOOD, V87, P4223 13423 FURLAN M, 1998, NEW ENGL J MED, V339, P1578 13424 GEORGE JN, 2004, TRANSFUSION, V44, P1384 13425 HORTON TM, 2003, J PEDIAT HEMATOL ONC, V25, P336 13426 HOVINGA JAK, 2003, PATHOPHYSIOL HAEMO T, V33, P417 13427 LAMMLE B, 2006, J THROMB HAEMOST, V4, P952 13428 PROULX F, 2005, PEDIATR NEPHROL, V20, P786 13429 RAIFE TJ, 2006, TRANSFUSION, V46, P74 13430 SADLER JE, 2004, AM SOC HEMATOL ED PR, P407 13431 SCHNEPPENHEIM R, 2003, BLOOD, V101, P1845 13432 TSAI HM, 1996, BLOOD, V87, P4235 13433 VEYRADIER A, 2003, J PEDIATR, V142, P310 13434 NR 14 13435 TC 0 13436 PU BLACKWELL PUBLISHING 13437 PI OXFORD 13438 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 13439 SN 1034-4810 13440 J9 J PAEDIATR CHILD HEALTH 13441 JI J. Paediatr. Child Health 13442 PD SEP 13443 PY 2007 13444 VL 43 13445 IS 9 13446 BP 640 13447 EP 642 13448 PG 3 13449 SC Pediatrics 13450 GA 206KI 13451 UT ISI:000249181900014 13452 ER 13453 13454 PT J 13455 AU Was, GS 13456 AF Was, Gary S. 13457 TI Materials degradation in fission reactors: Lessons learned of relevance 13458 to fusion reactor systems 13459 SO JOURNAL OF NUCLEAR MATERIALS 13460 LA English 13461 DT Article 13462 ID PROTONS; STEELS 13463 AB The management of materials in power reactor systems has become a 13464 critically important activity in assuring the safe, reliable and 13465 economical operation of these facilities. Over the years, the 13466 commercial nuclear power reactor industry has faced numerous 13467 'surprises' and unexpected occurrences in materials. Mitigation 13468 strategies have sometimes solved one problem at the expense of creating 13469 another. Other problems have been solved successfully and have 13470 motivated the development of techniques to foresee problems before they 13471 occur. This paper focuses on three aspects of fission reactor 13472 experience that may benefit future fusion systems. The first is 13473 identification of parameters and processes that have had a large impact 13474 on the behavior of materials in fission systems such as temperature, 13475 dose rate, surface condition, gradients, metallurgical variability and 13476 effects of the environment. The second is the development of materials 13477 performance and failure models to provide a basis for assuring 13478 component integrity. Last is the development of proactive materials 13479 management programs that identify and pre-empt degradation processes 13480 before they can become problems. These aspects of LWR experience along 13481 with the growing experience with materials in the more demanding 13482 advanced fission reactor systems form the basis for a set of 'lessons 13483 learned' to aid in the successful management of materials in fusion 13484 reactor systems. (C) 2007 Elsevier B.V. All rights reserved. 13485 C1 Univ Michigan, Nucl Engn & Radiol Sci Dept, Ann Arbor, MI 48109 USA. 13486 RP Was, GS, Univ Michigan, Nucl Engn & Radiol Sci Dept, 2355 Bonisteel 13487 Blvd,1921 Cooley Bldg, Ann Arbor, MI 48109 USA. 13488 EM gsw@umich.edu 13489 CR *US DOE OFF NUCL E, 2003, REP C ADV FUEL CYCL 13490 *US DOE, 2002, GIF00200 US DOE 13491 *US DOE, 2005, DES RAD TOL STRUCT A 13492 BLOOM EE, 2004, J NUCL MATER A, V329, P12 13493 CASSAGNE TB, 1992, EUROCORR 92, V2, P55 13494 CHEVERTON RD, 1983, J PRESS VESS-T ASME, V105, P102 13495 CHRISTENSEN R, 1982, NP2291 EPRI, V1 13496 GAN J, 2004, J NUCL MATER, V325, P94 13497 GARNER FA, 1994, MAT SCI TECHNOLOGY A, V10, P419 13498 GARNER FA, 1999, 9 INT S ENV DEGR MAT, P1051 13499 GARNER FA, 2002, CONTRIBUTIONS MAT IN 13500 GARNER FA, 2003, 11 INT C ENV DEGR MA, P887 13501 JONES RL, 2005, MANAGEMENT MAT DEGRA 13502 NANSTAD RK, 2001, AGEING STUDIES LIFET, P656 13503 ODETTE GR, 2005, PHILOS MAG, V85, P779 13504 SCOTT PM, 2000, CORROSION, V56, P771 13505 STAEHLE RW, 2001, P CHEM EL CORR STRES, K1 13506 STAEHLE RW, 2002, 10 INT C ENV DEGR MA, P1 13507 WAS GS, 2002, J NUCL MATER, V300, P198 13508 WAS GS, 2003, P 11 INT C ENV DEGR, P965 13509 WAS GS, 2005, P TOP RES S CORR AGG 13510 NR 21 13511 TC 0 13512 PU ELSEVIER SCIENCE BV 13513 PI AMSTERDAM 13514 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 13515 SN 0022-3115 13516 J9 J NUCL MATER 13517 JI J. Nucl. Mater. 13518 PD AUG 1 13519 PY 2007 13520 VL 367 13521 PN Part A 13522 BP 11 13523 EP 20 13524 PG 10 13525 SC Materials Science, Multidisciplinary; Nuclear Science & Technology; 13526 Mining & Mineral Processing 13527 GA 204GX 13528 UT ISI:000249033000003 13529 ER 13530 13531 PT J 13532 AU Donoher, WJ 13533 Reed, R 13534 Storrud-Barnes, SF 13535 AF Donoher, William J. 13536 Reed, Richard 13537 Storrud-Barnes, Susan F. 13538 TI Incentive alignment, control, and the issue of misleading financial 13539 disclosures 13540 SO JOURNAL OF MANAGEMENT 13541 LA English 13542 DT Review 13543 DE governance; boards; incentives; compensation; misleading disclosures 13544 ID WHITE-COLLAR CRIME; CEO STOCK-OPTIONS; ORGANIZATIONAL PERFORMANCE; 13545 EARNINGS MANAGEMENT; OWNERSHIP STRUCTURE; CORPORATE-STRATEGY; FIRM 13546 PERFORMANCE; AGENCY THEORY; RISK-TAKING; BOARD 13547 AB The accounting scandals of recent years have raised concerns about the 13548 efficacy of incentive alignment and control systems. Among matched 13549 firms that either did or did not restate misleading financial 13550 disclosures during the period 1994-2003, both managerial equity 13551 ownership and contingent compensation were positively related to 13552 restatements when considered independently of other factors such as 13553 firm performance and board characteristics. When these variables were 13554 introduced, performance positively moderated the relationship between 13555 ownership and restatements, although contingent compensation was no 13556 longer significant. Finally, misleading disclosures were less prevalent 13557 in firms whose boards had high levels of business experience and long 13558 tenure. 13559 C1 Missouri State Univ, Coll Business, Dept Management, Springfield, MO 65897 USA. 13560 Washington State Univ, Coll Business & Econ, Dept Management & Operat, Pullman, WA 99164 USA. 13561 Cleveland State Univ, Nance Coll Business Adm, Management & Labor Relat Dept, Cleveland, OH 44115 USA. 13562 RP Donoher, WJ, Missouri State Univ, Coll Business, Dept Management, 901 S 13563 Natl Ave, Springfield, MO 65897 USA. 13564 EM wjdonoher@missouristate.edu 13565 CR AGRAWAL A, 1999, J LAW ECON 2, V42, P309 13566 AGRAWAL A, 2005, J LAW ECON, V48, P371 13567 ALEXANDER JA, 1993, ADMIN SCI QUART, V38, P74 13568 BARBER DH, 1987, SECURITIES REGULATIO 13569 BARRO JR, 1990, J LABOR ECON, V8, P448 13570 BARTOV E, 2004, ACCOUNT REV, V79, P889 13571 BAUCUS MS, 1994, J MANAGE, V20, P699 13572 BAYSINGER BD, 1991, ACAD MANAGE J, V34, P205 13573 BEASLEY MS, 1996, ACCOUNT REV, V71, P443 13574 BEASLEY MS, 1999, STRATEGIC FINANCE, V80, P52 13575 BEBCHUCK L, 2004, PAY PERFORMANCE UNFU 13576 BENEISH MD, 1999, ACCOUNT REV, V74, P425 13577 BENEISH MD, 2001, MANAGE FINANC, V27, P3 13578 BERLE AA, 1932, MODERN CORPORATION P 13579 BHAGAT S, 1998, FINANC MANAGE, V27, P5 13580 BICKERSTAFFE G, 1986, CHIEF EXECUTIVE APR, P18 13581 BILIMORIA D, 1995, HUM RELAT, V48, P891 13582 BLACK W, 2005, CRIME LAW SOCIAL CH, V43, P1 13583 BLACK WK, 2005, J SOCIO EC, V34, P734 13584 BOEKER W, 1991, ACAD MANAGE J, V34, P805 13585 BOEKER W, 1992, ADMIN SCI QUART, V37, P400 13586 BOLTON P, 2005, J CORP LAW, V30, P721 13587 BROCKMANN EN, 2004, J MANAGERIAL ISSUES, V16, P178 13588 BROWN K, 2002, WALL STREET J, V6, C1 13589 CARPENTER MA, 2002, STRATEGIC MANAGE J, V23, P367 13590 CERTO ST, 2003, ACAD MANAGE J, V46, P643 13591 CHILD J, 1974, J MANAGE STUD, V11, P175 13592 CLINARD MB, 1983, CORPORATE ETHICS CRI 13593 CLINARD MB, 1990, CORPORATE CORRUPTION 13594 COCHRAN PL, 1987, 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2001, STRATEGIC MANAGE J, V22, P1087 13616 HAMBRICK DC, 1984, ACAD MANAGE REV, V9, P193 13617 HAMBRICK DC, 1988, ADM SCI Q, V33, P1 13618 HILL CWL, 1988, STRATEGIC MANAGE J, V9, P577 13619 HOLTHAUSEN RW, 1995, J ACCOUNT ECON, V19, P29 13620 JACCARD J, 1990, INTERACITON EFFECTS 13621 JACOBS MT, 1991, SHORT TERM AM CAUSES 13622 JENSEN MC, 1976, J FINANC ECON, V3, P305 13623 JENSEN MC, 1990, J POLIT ECON, V98, P225 13624 JOHNSON JL, 1996, J MANAGE, V22, P409 13625 JOHNSON RA, 1993, STRATEGIC MANAGE J, V14, P33 13626 KARPOFF JM, 1993, J LAW ECON, V36, P757 13627 KIM Y, 2005, J FINANC QUANT ANAL, V40, P435 13628 KOSNIK RD, 1990, ACAD MANAGE J, V33, P129 13629 LAKONISHOK J, 1994, J FINANC, V49, P1541 13630 LAPORTA R, 1996, J FINANC, V51, P1715 13631 LATHAM CK, 2000, J MANAGERIAL ISSUES, V12, P169 13632 LAVELLE L, 2003, BUSINESSWEEK ON 0224 13633 LUBATKIN M, 1991, STRATEGIC MANAGE J, V12, P251 13634 MCNAIR P, 2002, AUSTR HLTH REV, V25, P72 13635 MENARD S, 1995, APPL LOGISTIC REGRES 13636 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P11 13657 SINGH JV, 1986, ACAD MANAGE J, V29, P562 13658 SRIDHARAN UV, 1998, J MANAGERIAL ISSUES, V10, P469 13659 STAUBUS GJ, 2005, J BUS ETHICS, V57, P5 13660 STEIN JC, 1988, J POLITICAL EC, V96, P61 13661 SUNDARAMURTHY C, 1997, STRATEGIC MANAGE J, V18, P231 13662 SWEENEY AP, 1994, J ACCOUNT ECON, V17, P281 13663 TANG CY, 1999, STRATEGIC MANAGE J, V20, P749 13664 TOUBY L, 1994, J BUS STRAT, V15, P24 13665 VANCE SC, 1983, CORPORATE LEADERSHIP 13666 WADE J, 1990, ADMIN SCI QUART, V35, P587 13667 WALSH JP, 1990, ACAD MANAGE REV, V15, P421 13668 WESTPHAL JD, 2001, STRATEGIC MANAGE J, V22, P1113 13669 WISEMAN RM, 1998, ACAD MANAGE REV, V23, P133 13670 ZAHRA SA, 2005, J MANAGE, V31, P803 13671 ZAJAC EJ, 1994, STRATEGIC MANAGE J, V15, P121 13672 ZAJAC EJ, 1996, ACAD MANAGE J, V39, P64 13673 NR 108 13674 TC 0 13675 PU SAGE PUBLICATIONS INC 13676 PI THOUSAND OAKS 13677 PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA 13678 SN 0149-2063 13679 J9 J MANAGE 13680 JI J. Manag. 13681 PD AUG 13682 PY 2007 13683 VL 33 13684 IS 4 13685 BP 547 13686 EP 569 13687 PG 23 13688 SC Business; Management 13689 GA 193XF 13690 UT ISI:000248307800002 13691 ER 13692 13693 PT J 13694 AU Gaur, AS 13695 Delios, A 13696 Singh, K 13697 AF Gaur, Ajai S. 13698 Delios, Andrew 13699 Singh, Kulwant 13700 TI Institutional environments, staffing strategies, and subsidiary 13701 performance 13702 SO JOURNAL OF MANAGEMENT 13703 LA English 13704 DT Article 13705 DE regulative distance; normative distance; subsidiary staffing; 13706 expatriates; subsidiary performance 13707 ID ENTRY MODE CHOICE; MULTINATIONAL-CORPORATIONS; FOREIGN SUBSIDIARIES; 13708 JAPANESE FIRMS; COMPETITIVE ADVANTAGE; KNOWLEDGE TRANSFER; 13709 UNITED-STATES; EXPATRIATE; EXPERIENCE; SURVIVAL 13710 AB The authors adopt and develop an institutional perspective to advance 13711 understanding of how host country environments influence subsidiary 13712 staffing strategies. They propose and find that (a)firms rely more on 13713 expatriates in institutionally distant environments for reasons related 13714 to the efficient transfer of management practices and find-specific 13715 capabilities and (b) the positive influence of expatriate staffing 13716 levels on subsidiary performance is dependent on the institutional 13717 distance between the host and home country, and subsidiary experience. 13718 The authors' findings are based on their analysis of expatriate 13719 employment levels and performance in 12,997 foreign subsidiaries of 13720 2,952 Japanese firms in 48 countries. 13721 C1 Natl Univ Singapore, Dept Business Policy, Singapore 117592, Singapore. 13722 Old Dominion Univ, Coll Business & Publ Adm, Norfolk, VA USA. 13723 RP Gaur, AS, Natl Univ Singapore, Dept Business Policy, Singapore 117592, 13724 Singapore. 13725 EM ajai@nus.edu.sg 13726 CR 2001, EUROMONEY, V389, P270 13727 *BUR LAB STAT, 2003, US DEP STAT IND LIV 13728 *IMD WORLD COMP CT, 2001, WORLD COMP YB 13729 *UNESCO, 2001, STAT YB 13730 ANDERSON E, 1986, J INT BUS STUD, V17, P1 13731 BEAMISH PW, 1998, J WORLD BUS, V33, P35 13732 BIRKINSHAW J, 1998, ACAD MANAGE REV, V23, P773 13733 BJORKMAN I, 2004, J INT BUS STUD, V35, P443 13734 BLACK JS, 1988, J INT BUS STUD, V19, P274 13735 BOYACIGILLER N, 1990, J INT BUS STUD, V21, P357 13736 BROUTHERS KD, 2001, J INT BUS STUD, V32, P177 13737 BROUTHERS KD, 2002, J INT BUS STUD, V33, P203 13738 DANIELS JD, 1974, J INT BUS STUD, V5, P25 13739 DELIOS A, 1999, STRATEGIC MANAGE J, V20, P915 13740 DELIOS A, 2000, INT J HUM RESOUR MAN, V11, P278 13741 DELIOS A, 2003, STRATEGIC MANAGE J, V24, P1153 13742 DESS GG, 1984, ADMIN SCI QUART, V29, P52 13743 DIMAGGIO P, 1983, AM SOCIOL REV, V48, P286 13744 DUNNING JH, 1993, MULTINATIONAL ENTERP 13745 ERIKSSON K, 1997, J INT BUS STUD, V28, P337 13746 GAUR AS, 2007, J MANAGE, V33, P84 13747 GHEMAWAT P, 2005, HARVARD BUS REV, V83, P98 13748 GONG YP, 2003, ACAD MANAGE J, V46, P728 13749 GREGERSEN HB, 1996, J MANAGE, V22, P209 13750 GUPTA AK, 2000, STRATEGIC MANAGE J, V21, P473 13751 HARZING AW, 2001, HUM RESOURCE MANAGE, V40, P139 13752 HARZING AWK, 1999, INT HRM CONT ISSUES, P67 13753 HATVANY N, 1981, ACAD MANAGE REV, V6, P469 13754 HENISZ WJ, 1999, BUSINESS POLITICS, V1, P261 13755 HOFSTEDE G, 1980, CULTURES CONSEQUENCE 13756 HOLM U, 2000, EMERGENCE IMPACT MNC, P23 13757 INKPEN AC, 1997, ACAD MANAGE REV, V22, P177 13758 KEELEY TD, 2001, INT HUMAN RESOURCE M 13759 KOBRIN SJ, 1988, HUMAN RESOURCE MANAG, V27, P63 13760 KOGUT B, 1988, J INT BUS STUD, V19, P411 13761 KOSTOVA T, 1999, ACAD MANAGE REV, V24, P308 13762 KOSTOVA T, 1999, ACAD MANAGE REV, V24, P64 13763 MAKINO S, 1996, J INT BUS STUD, V27, P905 13764 NORTH D, 1990, I I CHANGE EC PERFOR 13765 ODONNELL SW, 2000, STRATEGIC MANAGE J, V21, P525 13766 OLIVER C, 1997, STRATEGIC MANAGE J, V18, P697 13767 OLIVER N, 1992, JAPANIZATION BRIT IN 13768 PENG MW, 2003, ACAD MANAGE REV, V28, P275 13769 PUCIK V, 1988, HUMAN RESOURCE MANAG, V27, P77 13770 PUTTI J, 1993, INT RES BUSINESS DIS, V1, P91 13771 RODGERS RA, 1996, INT J HUM RESOUR MAN, V7, P455 13772 SCOTT WR, 1995, I ORG 13773 SHAVER JM, 1998, MANAGE SCI, V44, P571 13774 SHENKAR O, 2001, J INT BUS STUD, V32, P1 13775 SINGH K, 2003, J MANAGE, V29, P533 13776 SOHN JHD, 1994, J INT BUS STUD, V25, P295 13777 TAN D, 2006, J MANAGE STUD, V43, P457 13778 TSANG EWK, 1999, ACAD MANAGE REV, V24, P759 13779 TUNG RL, 1982, CALIFORNIA MANAGEMEN, V25, P57 13780 WAN WP, 2003, ACAD MANAGE J, V46, P27 13781 WELCH D, 1994, INT J HUM RESOUR MAN, V5, P473 13782 ZAHEER S, 1995, ACAD MANAGE J, V38, P341 13783 ZAHEER S, 1997, STRATEGIC MANAGE J, V18, P439 13784 NR 58 13785 TC 0 13786 PU SAGE PUBLICATIONS INC 13787 PI THOUSAND OAKS 13788 PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA 13789 SN 0149-2063 13790 J9 J MANAGE 13791 JI J. Manag. 13792 PD AUG 13793 PY 2007 13794 VL 33 13795 IS 4 13796 BP 611 13797 EP 636 13798 PG 26 13799 SC Business; Management 13800 GA 193XF 13801 UT ISI:000248307800005 13802 ER 13803 13804 PT J 13805 AU Etzion, D 13806 AF Etzion, Dror 13807 TI Research on organizations and the natural environment, 1992-present: A 13808 review 13809 SO JOURNAL OF MANAGEMENT 13810 LA English 13811 DT Article 13812 DE natural environment; environmental strategy; industry dynamics; 13813 organizations and environment; stakeholders 13814 ID CORPORATE SOCIAL-RESPONSIBILITY; US CHEMICAL-INDUSTRY; FINANCIAL 13815 PERFORMANCE; STAKEHOLDER MANAGEMENT; SELF-REGULATION; SUSTAINABLE 13816 DEVELOPMENT; MANAGERIAL PERCEPTIONS; COMPETITIVE ADVANTAGE; ORGANIZING 13817 FRAMEWORK; UNITED-STATES 13818 AB The literature on organizations and the natural environment, published 13819 since 1992, is reviewed, with the purpose of determining if and what 13820 the contributions have been to strategy and organizational theory. The 13821 author performs the review at three levels-firm, industry, and 13822 organizational environment. 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V20, P267 13964 SROUFE R, 2003, PROD OPER MANAG, V12, P416 13965 STARIK M, 2000, ACAD MANAGE J, V43, P539 13966 STARKEY K, 2003, ACAD MANAGE REV, V28, P220 13967 STARNES L, 1995, FISHERIES, V20, P4 13968 TAYLOR B, 2005, J IND ECOL, V9, P14 13969 TENBRUNSEL AE, 2000, ACAD MANAGE J, V43, P854 13970 THEYEL G, 2000, INT J OPER PROD MAN, V20, P249 13971 THORNTON D, 2003, CALIF MANAGE REV, V46, P127 13972 TILLEY F, 1999, BUSINESS STRATEGY EN, V8, P238 13973 VASTAG G, 1996, INT J PROD ECON, V43, P193 13974 WADDOCK SA, 1997, STRATEGIC MANAGE J, V18, P303 13975 WADEBENZONI KA, 2002, ACAD MANAGE REV, V27, P41 13976 WALLEY N, 1994, HARVARD BUS REV, V72, P46 13977 NR 149 13978 TC 0 13979 PU SAGE PUBLICATIONS INC 13980 PI THOUSAND OAKS 13981 PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA 13982 SN 0149-2063 13983 J9 J MANAGE 13984 JI J. Manag. 13985 PD AUG 13986 PY 2007 13987 VL 33 13988 IS 4 13989 BP 637 13990 EP 664 13991 PG 28 13992 SC Business; Management 13993 GA 193XF 13994 UT ISI:000248307800006 13995 ER 13996 13997 PT J 13998 AU Fakhru'l-Razi, A 13999 Molla, AH 14000 AF Fakhru'l-Razi, Ahmadun 14001 Molla, Abul Hossain 14002 TI Enhancement of bioseparation and dewaterability of domestic wastewater 14003 sludge by fungal treated dewatered sludge 14004 SO JOURNAL OF HAZARDOUS MATERIALS 14005 LA English 14006 DT Article 14007 DE bioseparation; dewaterability; fungal entrapped biosoilds; domestic 14008 wastewater sludge 14009 ID STATE BIOCONVERSION PROCESS; BIOLOGICAL TREATMENT; ACTIVATED-SLUDGE 14010 AB A promising biological, sustainable, non-hazardous, safe and 14011 environmental friendly management and disposal technique of domestic 14012 wastewater sludge is global expectation. Fungal entrapped biosolids as 14013 a result of prior fungal treated raw wastewater sludge was recycled to 14014 evaluate its performance as inoculum for bioseparation/bioconversion of 14015 supplemented sludge in view of continuous as well as scale up 14016 wastewater sludge treatment. Encouraging results were achieved in 14017 bioseparation of suspended solids and in dewaterability/filterability 14018 of treated domestic wastewater sludge. Fungal entrapped biosolids 14019 offered 98% removal of total suspended solids (TSS) in supplemented 14020 sludge treatment at 6-day without nutrient (wheat flour, WF) supply. 14021 Consequently, 99% removal of turbidity and 87% removal of chemical 14022 oxygen demand (COD) were achieved in supernatant of treated sludge. The 14023 lowest value (1.75 x 10(12) m/kg) of specific resistance to filtration 14024 (SRF) was observed at 6-day after treatment, which was equivalent to 14025 the 70% decrease of SIZE The all results except SRF were not influenced 14026 further in treatments accompanied with WF supplementation. The present 14027 treatments offered significant (P <= 0.01) improvement in all results 14028 except SRF of treated wastewater sludge compared to the control. 14029 Furthermore, the present result is addressing a potential avenue of 14030 probable solution for expected management and disposal of domestic 14031 wastewater sludge in future. (C) 2007 Elsevier B.V. All rights reserved. 14032 C1 Bangabandhu Sheiku Mujibur Rahman Agr Univ, Dept Crop Bot, Gazipur 1706, Bangladesh. 14033 Univ Putra Malaysia, Fac Engn, Dept Environm Chem & Engn, Serdang 43400, Selangor DE, Malaysia. 14034 RP Molla, AH, Bangabandhu Sheiku Mujibur Rahman Agr Univ, Dept Crop Bot, 14035 Gazipur 1706, Bangladesh. 14036 EM ahmolla60@gmail.com 14037 CR *APHA, 1989, STAND METH EX WAT WA 14038 AKTHAR MN, 1995, CURR SCI INDIA, V69, P1028 14039 ALAM MZ, 2001, J ENVIRON SCI HEAL A, V36, P1237 14040 ALAM MZ, 2001, P INT WAT ASS IWA C, V1, P344 14041 ALAM MZ, 2003, WATER RES, V37, P1118 14042 ALAM MZ, 2003, WATER RES, V37, P3569 14043 BABAN A, 2004, CHEMOSPHERE, V57, P731 14044 FAKHRULRAZI A, 2002, J ENVIRON SCI HEAL A, V37, P1533 14045 GRAY NF, 1989, BIOL WASTEWATER TREA 14046 HAMDI M, 1992, BIOPROCESS ENG, V8, P79 14047 HAMDI M, 1992, J CHEM TECHNOL BIOT, V53, P196 14048 JIN B, 1999, J CHEM TECHNOL BIOT, V74, P106 14049 KARGI F, 2002, BIOTECHNOL LETT, V24, P1569 14050 LEE CH, 2000, WATER RES, V34, P4430 14051 LORAIN O, 2001, WATER RES, V35, P541 14052 MANNAN S, 2005, WATER RES, V39, P2935 14053 MAYABHATE SP, 1988, WATER AIR SOIL POLL, V38, P189 14054 MOLLA A, 2004, WATER RES, V38, P4143 14055 MOLLA AH, 2002, BIORESOURCE TECHNOL, V85, P263 14056 MOLLA AH, 2002, THESIS U PUTRA MALAY 14057 MURTHY SN, 1998, WATER SCI TECHNOL, V37, P317 14058 NELLENSCHULTE T, 1997, WATER SCI TECHNOL, V36, P293 14059 OUTWATER AB, 1994, REUSE SLUDGE MINOR W 14060 SENTHILNATHAN PR, 1993, WATER SCI TECHNOL, V28, P53 14061 URBAIN V, 1993, WATER RES, V27, P829 14062 NR 25 14063 TC 0 14064 PU ELSEVIER SCIENCE BV 14065 PI AMSTERDAM 14066 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 14067 SN 0304-3894 14068 J9 J HAZARD MATER 14069 JI J. Hazard. Mater. 14070 PD AUG 17 14071 PY 2007 14072 VL 147 14073 IS 1-2 14074 BP 350 14075 EP 356 14076 PG 7 14077 SC Engineering, Environmental; Engineering, Civil; Environmental Sciences 14078 GA 205SZ 14079 UT ISI:000249136200045 14080 ER 14081 14082 PT J 14083 AU Gray, J 14084 Millett, C 14085 Saxena, S 14086 Netuveli, G 14087 Khunti, K 14088 Majeed, A 14089 AF Gray, Jeremy 14090 Millett, Christopher 14091 Saxena, Sonia 14092 Netuveli, Gopalakrishnan 14093 Khunti, Kamlesh 14094 Majeed, Azeem 14095 TI Ethnicity and quality of diabetes care in a health system with 14096 universal coverage: Population-based cross-sectional survey in primary 14097 care 14098 SO JOURNAL OF GENERAL INTERNAL MEDICINE 14099 LA English 14100 DT Article 14101 DE diabetes; primary care; quality; ethnicity 14102 ID PAY-FOR-PERFORMANCE; INTERMEDIATE OUTCOMES; FOLLOW-UP; OF-CARE; LONDON; 14103 DISPARITIES; MANAGEMENT; EUROPEANS; MORTALITY; UK 14104 AB Background: The UK has a universal health care system that is free at 14105 the point of access. Over the past decade, the UK government has 14106 implemented an ambitious agenda of quality improvement initiatives in 14107 chronic disease management. 14108 Objective: To assess the quality of diabetes care and intermediate 14109 clinical outcomes within a multiethnic population after a sustained 14110 period of investment in quality improvement. 14111 Design: Population based cross-sectional survey, using electronic 14112 general practice records, carried out between November 2005 and January 14113 2006. 14114 Patinents: Seven thousand six hundred five adults (>= 18 years) with 14115 diabetes registered with 32 primary care practices. 14116 Measurements: Percentage achievement by ethnic group (black, south 14117 Asian, or white) of the quality indicators for diabetes in a new 14118 pay-for performance contract. 14119 Results: There were only modest variations in recording of process 14120 measures of care between ethnic groups, with no significant differences 14121 in recent measurement of blood pressure, HbA1c, cholesterol, 14122 micro-albuminuria, creatinine, or retinopathy screening attendance. 14123 Blacks and south Asians were significantly less likely to meet all 14124 three national treatment targets for diabetes (HbA1c <= 7.4%, blood 14125 pressure <= 145/85 mmHg, total cholesterol <= 5 mmol/L [193 mg/dL]) 14126 than whites (25.3%, 24.8% , and 32.0%, respectively). 14127 Conclusions: Our findings suggest that substantial investment in 14128 quality improvement initiatives in the UK may have led to more 14129 systematic and equitable processes of care for diabetes but have not 14130 addressed ethnic disparities in intermediate clinical outcomes. 14131 C1 Univ London Imperial Coll Sci Technol & Med, Dept Primary Care & Social Med, London W6 8RP, England. 14132 Wandsworth Primary Care Trust, Wandsworth Primary Care Res Ctr, London SW11 6HN, England. 14133 Univ Leicester, Leicester Gen Hosp, Dept Hlth Sci, Leicester LE5 4PW, Leics, England. 14134 RP Millett, C, Univ London Imperial Coll Sci Technol & Med, Dept Primary 14135 Care & Social Med, Reynolds Bldg,St Dunstans Rd, London W6 8RP, England. 14136 EM c.millett@imperial.ac.uk 14137 CR *DEP COMM LOC GOV, 2004, IND MULT DEPR 14138 *DEP HLTH, 2001, NAT SERV FRAM DIAB 14139 *DEP HLTH, 2003, TACK HLTH IN PROGR A 14140 *OFF NAT STAT, 2001, UK 2001 CENSUS 14141 *WHO, 2005, PREVENTING CHRONIC D 14142 CHATURVEDI N, 1993, HYPERTENSION, V22, P90 14143 DORAN T, 2006, NEW ENGL J MED, V355, P375 14144 GNANI S, 2006, USERS GUIDE DATA COL 14145 GRAY J, 2003, BRIT MED J, V326, P1130 14146 HALANYCH JH, 2006, MED CARE, V44, P439 14147 HUBER PJ, 1967, P 5 BERK S MATH STAT, P221 14148 LANTING LC, 2005, DIABETES CARE, V28, P2280 14149 LEATHERMAN S, 2003, QUEST QUALITY NHS MI 14150 MATHER HM, 1998, DIABETIC MED, V15, P53 14151 MCELDUFF P, 2005, DIABETIC MED, V22, P1226 14152 MILLETT C, 2007, PLOS MED, V4, P1087 14153 MUKHOPADHYAY B, 2006, DIABETIC MED, V23, P64 14154 SAADDINE JB, 2006, ANN INTERN MED, V144, P465 14155 SZCZEPURA A, 2002, SYSTEMATIC REV ETHNI 14156 TRIVEDI AN, 2005, NEW ENGL J MED, V353, P692 14157 WOLFE CDA, 2005, BRIT MED J, V331, P431 14158 NR 21 14159 TC 0 14160 PU SPRINGER 14161 PI NEW YORK 14162 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 14163 SN 0884-8734 14164 J9 J GEN INTERN MED 14165 JI J. Gen. Intern. Med. 14166 PD SEP 14167 PY 2007 14168 VL 22 14169 IS 9 14170 BP 1317 14171 EP 1320 14172 PG 4 14173 SC Medicine, General & Internal 14174 GA 201EQ 14175 UT ISI:000248814700015 14176 ER 14177 14178 PT J 14179 AU Rong, JH 14180 Tilton, R 14181 Shen, JG 14182 Ng, KM 14183 Liu, C 14184 Tam, PKH 14185 Lau, ASY 14186 Cheng, YC 14187 AF Rong, Jianhui 14188 Tilton, Robert 14189 Shen, Jiangang 14190 Ng, Kwan-Ming 14191 Liu, Chang 14192 Tam, Paul Kwong-Hang 14193 Lau, Allan Sik-Yin 14194 Cheng, Yung-Chi 14195 TI Genome-wide biological response fingerprinting (BioReF) of the Chinese 14196 botanical formulation ISF-1 enables the selection of multiple marker 14197 genes as a potential metric for quality control 14198 SO JOURNAL OF ETHNOPHARMACOLOGY 14199 LA English 14200 DT Article 14201 DE botanical drug products; traditional chinese medicine; quality control; 14202 biological response fingerprinting; DNA microarray; qRT-PCR 14203 ID COMPLEMENTARY-DNA MICROARRAY; HERBAL MEDICINE; CHROMATOGRAPHIC 14204 FINGERPRINT; OLIGONUCLEOTIDE ARRAYS; EXPRESSION PROFILE; GINKGO-BILOBA; 14205 CELLS; AUTHENTICATION; CLASSIFICATION; IDENTIFICATION 14206 AB Quality control plays a critical role in the process of translating the 14207 traditional/alternative medicines into modern evidence-based therapies. 14208 High performance liquid chromatography (HPLC) is widely applied to 14209 assess the chemical composition of botanical drug products. The 14210 chromatographic fingerprints or chemical profiles are currently used as 14211 the de jacto quality control metric. As a complement to chemical 14212 profiles, a biological quality control assessment offers distinct 14213 advantages. This study describes a genome-wide biological response 14214 fingerprinting (BioReF) approach to define a set of marker genes that 14215 define a signature pattern for a specific botanical formulation. These 14216 marker genes are chosen on the basis of the levels of the regulated 14217 expression and the involvement in the cellular signaling pathways. 14218 Subsequently, qRT-PCR technique is used to simultaneously monitor the 14219 gene expression of multiple marker genes in an efficient and 14220 quantitative manner. This set of marker genes represents the biological 14221 responses of human cells to the chemical composition of the botanical 14222 drug that could serve as potential quality control of botanical drugs 14223 in terms of the consistency of biological activities. We demonstrate 14224 the BioReF approach with a well-documented Chinese Medicine formula, 14225 designated as ISF-1, traditionally used for the management of 14226 post-stroke disorders. A set of nine marker genes were selected to 14227 assess the batch-to-batch consistency of the biological effects of 14228 ISF-1. This approach provides a potential comprehensive and 14229 cost-effective quality control metric of the biological activities of 14230 botanical drugs. (c) 2007 Elsevier Ireland Ltd. All rights reserved. 14231 C1 Univ Hong Kong, Li Ka Shing Fac Med, Mol Chinese Med Lab, Pokfulam, Hong Kong, Peoples R China. 14232 PhytoCeutica Inc, New Haven, CT 06511 USA. 14233 Univ Hong Kong, Sch Chinese Med, Pokfulam, Hong Kong, Peoples R China. 14234 Univ Hong Kong, Dept Chem, Hong Kong, Hong Kong, Peoples R China. 14235 Univ Hong Kong, Open Lab Chem Biol, Hong Kong, Hong Kong, Peoples R China. 14236 Univ Hong Kong, Inst Mol Technol Drug Discovery & Synth, Hong Kong, Hong Kong, Peoples R China. 14237 Yale Univ, Sch Med, Dept Pharmacol, New Haven, CT 06520 USA. 14238 RP Cheng, YC, Univ Hong Kong, Li Ka Shing Fac Med, Mol Chinese Med Lab, 21 14239 Sassoon Rd, Pokfulam, Hong Kong, Peoples R China. 14240 EM yccheng@yale.edu 14241 CR *CHIN MAT MED ED C, 1999, CHIN MAT MED 14242 *JIANG NEW MED COL, 1979, CHIN MED DICT 14243 *NAT PHARM ED BOAR, 2005, PHARM CHIN 1 14244 *US FDA, 2000, GUID IND BOT DRUG PR 14245 AFSHARI CA, 1999, CANCER RES, V59, P4759 14246 BAILEY NJC, 2002, PLANTA MED, V68, P734 14247 CHENG JT, 2000, J CLIN PHARMACOL, V40, P445 14248 CHEOK MH, 2003, NAT GENET, V34, P85 14249 CHOI DW, 2002, TOXICOLOGY, V181, P581 14250 DOBOS GJ, 2005, COMPLEMENT THER MED, V13, P183 14251 DOODY KM, 1990, J ENZYME INHIT, V4, P153 14252 DRASAR P, 2004, J CHROMATOGR B, V812, P3 14253 ERNST E, 2004, PHARMACOEPIDEM DR S, V13, P767 14254 FINLAY GJ, 1984, ANAL BIOCHEM, V139, P272 14255 FONG HH, 2002, INTEGR CANC THER, V1, P287 14256 GOHIL K, 2000, FREE RADICAL RES, V33, P831 14257 GOLD DL, 2005, AM J PHARMACOGENOMIC, V5, P271 14258 GONG F, 2003, J CHROMATOGR A, V1002, P25 14259 GUNTHER EC, 2003, P NATL ACAD SCI USA, V100, P9608 14260 HON CC, 2003, ACTA PHARMACOL SIN, V24, P841 14261 LI C, 2001, GENOME BIOL, V2, P32 14262 LI C, 2001, P NATL ACAD SCI USA, V98, P31 14263 LI C, 2003, ANAL GENE EXPRESSION, P120 14264 LIANG YZ, 2004, J CHROMATOGR B, V812, P53 14265 MARTON MJ, 1998, NAT MED, V4, P1293 14266 NORMILE D, 2003, SCIENCE, V299, P188 14267 OWUOR ED, 2002, BIOCHEM PHARMACOL, V64, P765 14268 RAJAGOPALAN D, 2003, BIOINFORMATICS, V19, P1469 14269 SAITO H, 2000, PHARMACOL RES, V41, P515 14270 SCHENA M, 1995, SCIENCE, V270, P467 14271 SCHENA M, 1996, P NATL ACAD SCI USA, V93, P10614 14272 SHOEMAKER M, 2004, J ETHNOPHARMACOL, V93, P381 14273 STAUNTON JE, 2001, P NATL ACAD SCI USA, V98, P10787 14274 WANG J, 2006, ZHONGGUO ZHONG YAO Z, V31, P5 14275 WATANABE CMH, 2001, P NATL ACAD SCI USA, V98, P6577 14276 WILSON M, 1999, P NATL ACAD SCI USA, V96, P12833 14277 XIE PS, 2006, J CHROMATOGR A, V1112, P171 14278 YANG LW, 2005, J CHROMATOGR A, V1070, P35 14279 YANG SH, 2003, INT J ONCOL, V22, P741 14280 ZENG ZD, 2005, ANAL BIOANAL CHEM, V381, P913 14281 ZHAO ZZ, 2005, MICROSC RES TECHNIQ, V67, P305 14282 NR 41 14283 TC 0 14284 PU ELSEVIER IRELAND LTD 14285 PI CLARE 14286 PA ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, 14287 IRELAND 14288 SN 0378-8741 14289 J9 J ETHNOPHARMACOL 14290 JI J. Ethnopharmacol. 14291 PD AUG 15 14292 PY 2007 14293 VL 113 14294 IS 1 14295 BP 35 14296 EP 44 14297 PG 10 14298 SC Plant Sciences; Chemistry, Medicinal; Integrative & Complementary 14299 Medicine; Pharmacology & Pharmacy 14300 GA 204OZ 14301 UT ISI:000249055200003 14302 ER 14303 14304 PT J 14305 AU Fang, S 14306 Gertner, GZ 14307 Anderson, AB 14308 AF Fang, Shoufan 14309 Gertner, George Z. 14310 Anderson, Alan B. 14311 TI The effect of model structure and data in modeling land conditions in 14312 disturbed complex ecosystems 14313 SO JOURNAL OF ENVIRONMENTAL MANAGEMENT 14314 LA English 14315 DT Article 14316 DE ANOVA; disturbance to ecosystems; interaction; logistic model; soil 14317 erosion 14318 ID FORT HOOD; VEGETATION 14319 AB Off-road vehicles increase soil erosion by reducing vegetation cover 14320 and other types of ground cover, and by changing the structure of soil. 14321 The investigation of the relationship between disturbance from off-road 14322 vehicles and the intensity of the activities that involve use of 14323 vehicles is essential for water and soil conservation and facility 14324 management. Models have been developed in a previous study to predict 14325 disturbance caused by off-road vehicles. However, the effect of data on 14326 model quality and model performance, and the appropriate structure of 14327 models have not been previously investigated. In order to improve the 14328 quality and performance of disturbance models, this study was designed 14329 to investigate the effects of model structure and data. The experiment 14330 considered and tested: (1) two measures of disturbance based on the 14331 Vegetation Cover Factor (C Factor) of the Revised Universal Soil Loss 14332 Equation (RUSLE) and Disturbance Intensity; (2) model structure using 14333 two modeling approaches; and (3) three subsets of data. The adjusted 14334 R-square and residuals from validation data are used to represent model 14335 quality and performance, respectively. Analysis of variance (ANOVA) is 14336 used to identify factors which have significant effects on model 14337 quality and performance. The results of the ANOVA show that subsets of 14338 data have significant effects on both model quality and performance for 14339 both measures of disturbance. The ANOVA also detected that the C Factor 14340 models have higher quality and performance than the Disturbance models. 14341 Although modeling approaches are not a significant factor based on the 14342 ANOVA tests, models containing interaction terms can increase the 14343 adjusted R-squares for nearly all tested conditions and the maximum 14344 improvement can reach 31%). (c) 2006 Elsevier Ltd. All rights reserved. 14345 C1 Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA. 14346 Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada. 14347 USA, Construct Engn Res Lab, Corps Engineers, Champaign, IL 61822 USA. 14348 RP Gertner, GZ, Univ Illinois, Dept Nat Resources & Environm Sci, W503 14349 Turner Hall 1102 S Goodwin Ave, Urbana, IL 61801 USA. 14350 EM gertner@uiuc.edu 14351 CR ANDERSON AB, 2005, J TERRAMECHANICS, V42, P207 14352 BRAUNACK MV, 1986, J TERRAMECHANICS, V23, P37 14353 DIERSING VE, 1992, ENVIRON MANAGE, V16, P405 14354 DRAPER NR, 1998, APPL REGRESSION ANAL 14355 FANG SF, 2002, ENVIRON MANAGE, V30, P199 14356 FANG SF, 2005, LANDSCAPE URBAN PLAN, V73, P294 14357 GORAN WD, 1983, OVERVIEW ECOLOGICAL 14358 GUERTIN PJ, 1998, N9845 USACERL 14359 HILL HO, 1944, US DEPARTMENT AGR TE, V859 14360 MCKYES EE, 1980, T AM SOC AGR ENG, V23, P1388 14361 MEYER LD, 1985, T ASAE, V28, P448 14362 MEYER LD, 1985, T ASAE, V28, P461 14363 MOEHRING DM, 1970, J FOREST, V68, P166 14364 RENARD KG, 1997, AGR HDB, V703 14365 SHAW RB, 1990, J ENVIRON QUAL, V19, P234 14366 TAZIK DJ, 1992, N9203ADA247931 USACE 14367 THUROW TL, 1991, MANAGEMENT ECOLOGICA, P141 14368 THUROW TL, 1995, EN9502 USACERL 14369 VANDOREN CA, 1950, SOIL SCI SOC AM P, V15, P413 14370 WARREN SD, 1990, PHOTOGRAMM ENG REM S, V56, P333 14371 WILSHIRE HG, 1976, CALIFORNIA GEOLOGY, V29, P123 14372 WILSON SD, 1988, ENVIRON MANAGE, V12, P397 14373 WISCHMEIER WH, 1978, AGR HDB, V282 14374 NR 23 14375 TC 0 14376 PU ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD 14377 PI LONDON 14378 PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND 14379 SN 0301-4797 14380 J9 J ENVIRON MANAGE 14381 JI J. Environ. Manage. 14382 PD OCT 14383 PY 2007 14384 VL 85 14385 IS 1 14386 BP 69 14387 EP 77 14388 PG 9 14389 SC Environmental Sciences; Environmental Studies 14390 GA 205UF 14391 UT ISI:000249139400007 14392 ER 14393 14394 PT J 14395 AU Zhu, QH 14396 Sarkis, J 14397 Lai, KH 14398 AF Zhu, Qinghua 14399 Sarkis, Joseph 14400 Lai, Kee-Hung 14401 TI Initiatives and outcomes of green supply chain management 14402 implementation by Chinese manufacturers 14403 SO JOURNAL OF ENVIRONMENTAL MANAGEMENT 14404 LA English 14405 DT Article 14406 DE green supply chain management; implementation; industry comparisons; 14407 performance 14408 ID ENVIRONMENTAL PERFORMANCE 14409 AB This paper aims to explore the green supply chain management (GSCM) 14410 initiatives (implementation) of various manufacturing industrial 14411 sectors in China and examine the links between GSCM initiatives and 14412 performance outcomes. We conducted a survey to collect data from four 14413 typical manufacturing industrial sectors in China, namely, power 14414 generating, chemical/petroleum, electrical/electronic and automobile, 14415 and received 171 valid organizational responses for data analysis. 14416 Analysis of variance (ANOVA) was used to analyze the data. The results 14417 are consistent with our prediction that the different manufacturing 14418 industry types display different levels of GSCM implementation and 14419 outcorries. We specifically found that the electrical/electronic 14420 industry has relatively higher levels of GSCM implementation and 14421 achieves better performance outcomes than the other three manufacturer 14422 types. Implications of the results are discussed and suggestions for 14423 further research on the implementation of GSCM are offered. (c) 2006 14424 Elsevier Ltd. All rights reserved. 14425 C1 Dalian Univ Technol, Sch Management, Dalian 116024, Liaoning Prov, Peoples R China. 14426 Clark Univ, Grad Sch Management, Worcester, MA 01610 USA. 14427 Hong Kong Polytech Univ, Dept Logist, Kowloon, Hong Kong, Peoples R China. 14428 RP Zhu, QH, Dalian Univ Technol, Sch Management, Dalian 116024, Liaoning 14429 Prov, Peoples R China. 14430 EM zhuclh@dlut.edu.cn 14431 jsarkis@clarku.edu 14432 lgtnilai@polyu.edu.hk 14433 CR *CCTV, 2004, EUR COMM EST MEAS EL 14434 *GEMI, 2001, NEW PATHS BUS VAL 14435 *US AEP, 1999, SECT BAS PUBL POL AS 14436 ARMSTRONG JS, 1997, J MARKETING RES, V14, P396 14437 BAGOZZI RP, 1988, J ACADEMY MARKETING, V16, P74 14438 BOWEN FE, 2001, GREENER MANAGEME AUT, P41 14439 BOWEN FE, 2001, PROD OPER MANAG, V10, P174 14440 CARTER CR, 1998, INT J PURCHASING MAT, V34, P28 14441 CARTER CR, 2000, TRANSPORT RES E-LOG, V36, P219 14442 CHRISTMANN P, 2001, J INT BUS STUD, V32, P439 14443 CONNELLY JT, 2004, J CORPORATE CITIZENS, P137 14444 CORDEIRO JJ, 1997, BUSINESS STRATEGY EN, V6, P104 14445 COX J, 1999, GREENER MARKETING GL, P381 14446 DEEGAN C, 1996, ACCOUNTING BUSINESS, V26, P187 14447 DEEGAN C, 2000, ACCOUNTING FORUM, V24, P101 14448 DENG H, 1998, BUSINESS STUDIES, V12, P45 14449 DODGSON M, 2000, MANAGEMENT TECHNOLOG 14450 DYER JH, 1998, ACAD MANAGE REV, V23, P660 14451 FARUK AC, 2002, J IND ECOL, V5, P13 14452 FLORIDA R, 1996, CALIF MANAGE REV, V39, P80 14453 FLORIDA R, 2001, CALIF MANAGE REV, V43, P64 14454 FROSCH RA, 1994, PHYS TODAY, V47, P63 14455 GEFFEN CA, 2000, INT J OPER PROD MAN, V20, P166 14456 GIL MJA, 2001, OMEGA-INT J MANAGE S, V29, P457 14457 GREEN K, 1996, BUSINESS STRATEGY EN, V5, P188 14458 HALL J, 2000, J CLEAN PROD, V8, P206 14459 HANDFIELD R, 2002, EUR J OPER RES, V141, P70 14460 HANSMANN KW, 2001, GREEN MANUFACTURING, P192 14461 KONAR S, 2001, REV ECON STAT, V83, P281 14462 LU W, 2004, PRICES IMPORT AUTOMO 14463 MIN H, 1997, J PURCHASING MAT MAN, P10 14464 NARASIMHAN R, 1998, ENV SUPPLY CHAIN MAN 14465 NUNNALLY JC, 1994, PSYCHOMETRIC THEORY 14466 RAO P, 2002, INT J OPER PROD MAN, V22, P632 14467 SARKIS J, 1995, INT J ENV CONSCIOUS, V4, P43 14468 SARKIS J, 2003, J CLEAN PROD, V11, P397 14469 SZWILSKI TB, 2000, RECLAMATION ENV, V14, P183 14470 THEYEL G, 2001, GREENER MANAGEMENT I, V35, P61 14471 TOORU S, 2001, KAMIPA GIKYOSHI, V55, P52 14472 VONHIPPEL E, 1988, SOURCE INNOVATION 14473 VONHOCK RI, 2000, LOGISTICS SOLUTIONS, P28 14474 WALLEY N, 1994, HARVARD BUS REV, V72, P46 14475 WALTON SV, 1998, INT J PURCHASING SPR, P2 14476 WANG H, 2004, J ENVIRON MANAGE, V71, P123 14477 WILMHURST DW, 2000, ACCOUNTING AUDITING, V13, P10 14478 ZHANG J, 2002, P LAWS ENV RES 14479 ZHOU H, 2004, ENV MANAGEMENT SYSTE 14480 ZHU Q, 2004, ENERGY CONSERVATION, V13, P18 14481 ZHU Q, 2004, P 2 S SCEM SOC CAP D, P44 14482 ZHU Q, 2005, INT J OPERATIONS PRO, V25 14483 ZHU QH, 2001, GREENER MANAGEME AUT, P27 14484 ZHU QH, 2004, J OPER MANAG, V22, P265 14485 ZSIDISIN GA, 1998, IND MANAGEMENT DATA, V7, P313 14486 NR 53 14487 TC 0 14488 PU ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD 14489 PI LONDON 14490 PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND 14491 SN 0301-4797 14492 J9 J ENVIRON MANAGE 14493 JI J. Environ. Manage. 14494 PD OCT 14495 PY 2007 14496 VL 85 14497 IS 1 14498 BP 179 14499 EP 189 14500 PG 11 14501 SC Environmental Sciences; Environmental Studies 14502 GA 205UF 14503 UT ISI:000249139400019 14504 ER 14505 14506 PT J 14507 AU Benyahya, L 14508 St-Hilaire, A 14509 Ouarda, TBMJ 14510 Bobee, B 14511 Ahmadi-Nedushan, B 14512 AF Benyahya, Loubna 14513 St-Hilaire, Andre 14514 Ouarda, Taha B. M. J. 14515 Bobee, Bernard 14516 Ahmadi-Nedushan, Behrouz 14517 TI Modeling of water temperatures based on stochastic approaches: case 14518 study of the Deschutes River 14519 SO JOURNAL OF ENVIRONMENTAL ENGINEERING AND SCIENCE 14520 LA English 14521 DT Article 14522 DE average weekly maximum temperature; stochastic model; PAR; AR 14523 ID STREAM TEMPERATURE; AIR TEMPERATURES; SOIL-TEMPERATURE; THERMAL 14524 REGIMES; FOREST CANOPY 14525 AB Water temperature is an important physical variable in aquatic 14526 ecosystems. It can affect both chemical and biological processes such 14527 as dissolved oxygen concentration and both the metabolism and growth of 14528 aquatic organisms. For water resource management, stream water 14529 temperature models that can accurately reproduce the essential 14530 statistical characteristics of historical data can be very useful. The 14531 present study deals with the modeling in the Deschutes River of average 14532 weekly maximum temperature (AWMT) series using univariate stochastic 14533 approaches. Autoregressive (AR) and periodic autoregressive (PAR) 14534 models were used to model AWMT data. The AR model consisted of 14535 decomposing water temperature data into a long-term annual component 14536 and a residual component. The long-term annual component was modeled by 14537 fitting a sine function to the time series, while the residuals 14538 representing the departure from the long-term annual component were 14539 modeled using a Markov chain process. The PAR model was applied to the 14540 standardized data obtained by subtracting the AWMT series from 14541 interannual mean of each period. To test the performance of the above 14542 models, the leave-one-out (Jackknife) technique was used. The results 14543 indicated that both models have good predictive ability for a 14544 relatively large system such as the Dechutes River. On an annual basis 14545 from 1963 to 1980, the average root mean square error varied between 14546 0.81 and 0.90 degrees C for AR(1) and PAR(1), respectively, and the 14547 mean bias remained near 0 degrees C. Averaged Nash-Sutcliffe 14548 coefficient of efficiency (NSC) values obtained by AR (0.94) and PAR 14549 (0.92) models were close and comparable. Of the two models, the PAR(1) 14550 model seemed the most promising based on its performance and ability to 14551 model periodicity in autocorrelations. Since no exogenous variables 14552 such as air temperatures and streamflow were incorporated, the use of 14553 the PAR model limits the managerial decisions in natural streams and 14554 rivers. 14555 C1 Univ Quebec, Natl Inst Sci Res, ETE, Quebec City, PQ G1K 9A9, Canada. 14556 RP Benyahya, L, Univ Quebec, Natl Inst Sci Res, ETE, 490 Couronne St, 14557 Quebec City, PQ G1K 9A9, Canada. 14558 EM Benyahyal@dfo-mpo.gc.ca 14559 CR *DEP ENV QUAL, 2003, FIG 130A FISH US DES 14560 *NOAA, 2004, END SPEC ACT STAT RE 14561 *USEPA, 2003, REG 10 GUID PAC NW S 14562 *USGS, 2004, USGS WAT DAT NAT 14563 BARTHOLOW JM, 1999, 4041 US GEOL SURV 14564 BARTOLINI P, 1988, WATER RESOUR RES, V24, P1237 14565 BELANGER M, 2005, REV SCI EAU, V18, P403 14566 BJORNN TC, 1991, AM FISHERIES SOC SPE, V19, P83 14567 BOX GEP, 1976, TIME SERIES ANAL FOR 14568 BROWN GW, 1970, WATER RESOUR RES, V6, P1133 14569 CAISSIE D, 1998, CAN J CIVIL ENG, V25, P250 14570 CAISSIE D, 2001, J HYDROL, V251, P14 14571 CLUIS DA, 1972, NORD HYDROL, V3, P65 14572 EATON JG, 1996, LIMNOL OCEANOGR, V41, P1109 14573 HODGSON S, 2002, CAN J ZOOL, V80, P542 14574 HSIA TJ, 1977, SYSTEM IDENTIFICATIO 14575 HUBBARD LE, 1998, OR971 US GEOL SURV O 14576 JANSSEN PHM, 1995, ECOL MODEL, V83, P55 14577 LI HW, 1994, T AM FISH SOC, V123, P627 14578 MARCEAU P, 1986, CAN J CIVIL ENG, V13, P352 14579 MOHSENI O, 1998, WATER RESOUR RES, V34, P2685 14580 MORIN G, 1990, ENCY FLUID MECH SURF, V10, P171 14581 NASH JE, 1970, J HYDROL, V10, P282 14582 NOVALES A, 1997, INT J FORECASTING, V13, P393 14583 OCONNOR JE, 2003, PECULIAR RIVER GEOLO, V7, P7 14584 OLIVER GG, 2001, WATER QUALITY GUIDEL 14585 OSBORN DR, 1989, J BUS ECON STAT, V7, P117 14586 PETERSON JT, 1996, N AM J FISH MANAGE, V16, P738 14587 PILGRIM JM, 1998, J AM WATER RESOUR AS, V34, P1109 14588 QUENOUILLE MH, 1949, J ROYAL STATISTICAL, V11, P18 14589 RASMUSSEN PF, 1996, WATER RESOUR RES, V32, P3151 14590 SALAS JD, 1980, APPL MODELING HYDROL 14591 SALAS JD, 1993, HDB HYDROLOGY, CH19 14592 SHAPIRO SS, 1965, BIOMETRIKA, V52, P591 14593 STHILAIRE A, 2000, CAN J CIVIL ENG, V27, P1095 14594 STHILAIRE A, 2003, HYDROL PROCESS, V17, P2033 14595 THOMAS HA, 1962, DESIGN WATER RESOURC 14596 ULA TA, 1997, WATER RESOUR RES, V33, P1929 14597 VANNOTE RL, 1980, AM NAT, V115, P667 14598 VECCHIA AV, 1985, WATER RESOUR BULL, V21, P721 14599 WARD JV, 1982, ANNU REV ENTOMOL, V27, P97 14600 NR 41 14601 TC 0 14602 PU NATL RESEARCH COUNCIL CANADA-N R C RESEARCH PRESS 14603 PI OTTAWA 14604 PA BUILDING M 55, OTTAWA, ON K1A 0R6, CANADA 14605 SN 1496-2551 14606 J9 J ENVIRON ENG SCI 14607 JI J. Environ. Eng. Sci. 14608 PD JUL 14609 PY 2007 14610 VL 6 14611 IS 4 14612 BP 437 14613 EP 448 14614 PG 12 14615 SC Engineering, Environmental; Environmental Sciences 14616 GA 192TH 14617 UT ISI:000248225400010 14618 ER 14619 14620 PT J 14621 AU Rull, J 14622 Diaz-Fleischer, F 14623 Arredond, J 14624 AF Rull, Juan 14625 Diaz-Fleischer, Francisco 14626 Arredond, Jose 14627 TI Irradiation of Anastrepha luclens (Diptera : Tephritidae) revisited: 14628 Optimizing sterility induction 14629 SO JOURNAL OF ECONOMIC ENTOMOLOGY 14630 LA English 14631 DT Article 14632 DE Anastrepha ludem; irradiation doses; sterile insect technique; 14633 sterility induction; mating competitiveness 14634 ID MEDITERRANEAN FRUIT-FLIES; INSECT TECHNIQUE PROGRAMS; FLY DIPTERA; 14635 GAMMA-RADIATION; MATING COMPETITIVENESS; SEXUAL COMPETITIVENESS; MALES; 14636 ERADICATION; BEHAVIOR; MANAGEMENT 14637 AB Irradiation doses currently applied to sterilize Mexican fruit flies, 14638 Anastrepha ludens (Loew) (Diptera: Tephritidae), for release under the 14639 sterile insect technique eradication campaign in Mexico, were reviewed 14640 in an effort to increase sterile male performance in the field. A dose 14641 maximizing sterility induction into wild populations was sought by 14642 balancing somatic fitness with genetic sterility. Doses of 40, 60, and 14643 80 Gy induced 95% or more sterility in all males, which in turn induced 14644 similar degrees of sterility into a cohort of wild flies in the 14645 laboratory. However, a low dose of 40 Cy was sufficient to completely 14646 suppress egg production in females. Similarly, a mild carryover of 14647 genetic damage might have been transferred to the F1 progeny of males 14648 irradiated at 40 Gy crossed with fertile wild females. Our results 14649 suggest that the 80-Gy dose currently applied in Mexico can be lowered 14650 substantially without jeopardizing program goals. This view could be 14651 strengthened by comparing performance of males irradiated at different 14652 doses under more natural settings, In general, we discuss the value of 14653 determining irradiation doses for pest species where females are more 14654 radiosensitive than males, by selecting the dose that causes 100% 14655 sterility in females. 14656 C1 Inst Ecol, Xalapa 19070, Veracruz, Mexico. 14657 Univ Veracruzana, LABIOTECA, Xalapa 91090, Veracruz, Mexico. 14658 Campana Nacl Contra Moscas Fruta, Subdirecc Desarrollo Metodos, Tapachula 30700, Chiapas, Mexico. 14659 RP Rull, J, Inst Ecol, AC Km 2-5 Antigua Carretera Coatepec, Xalapa 19070, 14660 Veracruz, Mexico. 14661 EM rull@ecologia.edu.mx 14662 CR ALUJA M, 1994, ANNU REV ENTOMOL, V39, P155 14663 ALUJA M, 1996, J ECON ENTOMOL, V89, P654 14664 ALUJA M, 2000, FRUIT FLIES TEPHRITI, P375 14665 ANGUIANODIAZ MA, 1980, THESIS ITESM MEXICO 14666 BAKRI A, 2005, ANN ENTOMOL SOC AM, V98, P1 14667 BIRKE A, 2006, J ECON ENTOMOL, V99, P1184 14668 BLOEM K, 1993, FRUIT FLIES BIOL MAN, P189 14669 BOLLER EF, 1968, J ECON ENTOMOL, V61, P850 14670 CALKINS CO, 1988, P S MOD INS CONTR NU, P299 14671 CALKINS CO, 1994, FRUIT FLIES STERILE 14672 DYCK VA, 2005, STERILE INSECT TECHN, P525 14673 FISHER KT, 1985, J AUST ENTOMOL SOC, V24, P207 14674 GABAYET JAR, 1996, FRUIT FLY PESTS WORL, P561 14675 GUTIERREZSAMPER.J, 1993, FRUIT FLIES BIOL MAN, P419 14676 HEATH RR, 1994, J ECON ENTOMOL, V87, P904 14677 HENDRICHS J, 2002, FLA ENTOMOL, V85, P1 14678 HOLBROOK FR, 1970, J ECON ENTOMOL, V63, P1175 14679 HOOPER GHS, 1971, J ECON ENTOMOL, V64, P1068 14680 HOOPER GHS, 1972, J ECON ENTOMOL, V65, P1 14681 JACOME I, 1999, B ENTOMOL RES, V89, P165 14682 KLASSEN W, 1973, COMPUTER MODELS APPL, P65 14683 KLASSEN W, 2005, STERILE INSECT TECHN, P1 14684 KNIPLING EF, 1955, J ECON ENTOMOL, V48, P459 14685 KNIPLING EF, 1979, AGR HDB, V512 14686 LUX SA, 2002, FLA ENTOMOL, V85, P102 14687 MCINNIS DO, 1996, ANN ENTOMOL SOC AM, V89, P739 14688 MORENO DS, 1991, J ECON ENTOMOL, V84, P1227 14689 MOSSINSON S, 2003, J INSECT PHYSIOL, V49, P561 14690 OHINATA K, 1977, J ECON ENTOMOL, V70, P165 14691 OROZCO D, 1983, MANUAL PROCEDIMIENTO 14692 REYES J, 2000, AREA WIDE CONTROL FR, P377 14693 RHODE RH, 1961, J ECON ENTOMOL, V54, P202 14694 ROBINSON AS, 2002, MUTAT RES-REV MUTAT, V511, P113 14695 ROBINSON AS, 2005, STERILE INSECT TECHN, P95 14696 RULL J, 2005, J ECON ENTOMOL, V98, P1510 14697 SALEMA MP, 2002, AREA WIDE CONTROL FR, P3 14698 SHARP JL, 1977, P HAWAII ENTOMOL SOC, V22, P525 14699 SIVINSKI J, 2000, FRUIT FLIES TEPHRITI, P751 14700 TAYLOR PW, 2001, ENTOMOL EXP APPL, V98, P27 14701 TOLEDO J, 1993, FRUIT FLIES BIOL MAN, P301 14702 TOLEDO J, 2004, J ECON ENTOMOL, V97, P383 14703 VELASCO H, 1982, STERILE INSECT TECHN, P323 14704 VERA MT, 2003, ANN ENTOMOL SOC AM, V96, P563 14705 VILLATORORECINO.RA, 1983, C NAC MAN INT PLAG A 14706 WALDER JM, 1993, SCI AGR PIRACIABA, V50, P157 14707 ZAR JH, 1999, BIOSTATISTICAL ANAL 14708 ZUMREOGLU A, 1979, J ECON ENTOMOL, V72, P173 14709 NR 47 14710 TC 0 14711 PU ENTOMOLOGICAL SOC AMER 14712 PI LANHAM 14713 PA 10001 DEREKWOOD LANE, STE 100, LANHAM, MD 20706-4876 USA 14714 SN 0022-0493 14715 J9 J ECON ENTOMOL 14716 JI J. Econ. Entomol. 14717 PD AUG 14718 PY 2007 14719 VL 100 14720 IS 4 14721 BP 1153 14722 EP 1159 14723 PG 7 14724 SC Entomology 14725 GA 197VD 14726 UT ISI:000248583700018 14727 ER 14728 14729 PT J 14730 AU Whitlock, R 14731 Grime, JP 14732 Booth, R 14733 Burke, T 14734 AF Whitlock, Raj 14735 Grime, J. Philip 14736 Booth, Rosemary 14737 Burke, Terry 14738 TI The role of genotypic diversity in determining grassland community 14739 structure under constant environmental conditions 14740 SO JOURNAL OF ECOLOGY 14741 LA English 14742 DT Article 14743 DE community ecology; community genetics; competition and coexistence; 14744 genetic diversity; genotype-environment interactions; grasslands; 14745 species diversity 14746 ID GENETIC DIVERSITY; TRIFOLIUM-REPENS; SPECIES COEXISTENCE; 14747 NATURAL-POPULATION; PERENNIAL GRASSES; PLANT-POPULATIONS; 14748 LOLIUM-PERENNE; FESTUCA-OVINA; COMPETITION; RESISTANCE 14749 AB 1. A recent experiment varied the genetic diversity of model grassland 14750 communities under standardized soil and management conditions and at 14751 constant initial species diversity. After 5 years' growth, genetically 14752 diverse communities retained more species diversity and became more 14753 similar in species composition than genetically impoverished 14754 communities. 14755 2. Here we present the results of further investigation within this 14756 experimental system. We proposed that two mechanisms - the first 14757 invoking genetically determined and constant differences in plant 14758 phenotypes and the second invoking genotype-environment interactions - 14759 could each underpin these results. This mechanistic framework was used 14760 as a tool to interpret our findings. 14761 3. We used inter-simple sequence repeat (ISSR) DNA markers to confirm 14762 which of the individuals of six study species initially included in the 14763 model communities were unique genotypes. We then used the molecular 14764 markers to assess the survival and abundance of each genotype at the 14765 end of the 5-year experimental period. 14766 4. The DNA marker data were used to create, for the first time, a 14767 genotype abundance hierarchy describing the structure of a community at 14768 the level of genotypes. This abundance hierarchy revealed wide 14769 variation in the abundance of genotypes within species, and large 14770 overlaps in the performance of the genotypes of different species. 14771 5. Each genotype achieved a consistent level of abundance within 14772 genetically diverse communities, which differed from that attained by 14773 other genotypes of the same species. The abundance hierarchy of 14774 genotypes within species also showed consistency across communities 14775 differing in their initial level of genetic diversity, such that 14776 species abundance in genetically impoverished communities could be 14777 predicted, in part, by genotypic identity. 14778 6. Three species (including two canopy-dominants) experienced shifts in 14779 their community-level genotype abundance hierarchies that were 14780 consistent with an increased influence of genotype-environment 14781 interactions in genetically impoverished communities. 14782 7. Our results indicate that under relatively constant environmental 14783 conditions the species abundance structure of plant communities can in 14784 part be predicted from the genotypic composition of their component 14785 populations. Genotype-environment interactions also appear to shape the 14786 structure of communities under such conditions, although further 14787 experiments are needed to clarify the magnitude and mechanism of these 14788 effects. 14789 C1 Univ Sheffield, Dept Anim & Plant Sci, Sheffield S10 2TN, S Yorkshire, England. 14790 Univ Sheffield, Dept Anim & Plant Sci, Unit comparat Plant Ecol, Sheffield S10 2TN, S Yorkshire, England. 14791 RP Whitlock, R, Univ Sheffield, Dept Anim & Plant Sci, Sheffield S10 2TN, 14792 S Yorkshire, England. 14793 EM r.whitlock@sheffield.ac.uk 14794 CR AARSSEN LW, 1983, AM NAT, V122, P707 14795 AARSSEN LW, 1985, J ECOL, V73, P585 14796 AARSSEN LW, 1989, OIKOS, V56, P386 14797 ANTONOVICS J, 1976, SYST BOT, V1, P233 14798 BOOTH RE, 2001, THESIS U SHEFFEILD S 14799 BOOTH RE, 2003, J ECOL, V91, P721 14800 BRADSHAW AD, 1952, NATURE, V169, P1098 14801 BURDON JJ, 1993, ANNU REV PHYTOPATHOL, V31, P305 14802 BURDON JJ, 1995, J ECOL, V83, P199 14803 CHANWAY CP, 1989, J ECOL, V77, P1150 14804 DRAKE JA, 1990, TRENDS ECOL EVOL, V5, P159 14805 ENNOS RA, 1985, J ECOL, V73, P615 14806 FURNESS SB, 1980, THESIS U SHEFFIELD S 14807 GOLDBERG DE, 1991, J ECOL, V79, P1013 14808 GRACE JB, 1993, OIKOS, V68, P91 14809 GRAHAM JH, 2001, OECOLOGIA, V126, P239 14810 GREGORY RPG, 1965, NEW PHYTOL, V64, P131 14811 GRIME JP, 1998, J ECOL, V86, P902 14812 GRIME JP, 2000, SCIENCE, V289, P762 14813 GRIME JP, 2001, PLANT STRATEGIES VEG 14814 HALDANE JBS, 1946, ANN EUGEN, V13, P197 14815 HAMRICK JL, 1992, GENETICS CONSERVATIO, P75 14816 HOLDRIDGE LR, 1971, FOREST ENV TROPICAL 14817 HUANG JC, 2000, BIOTECHNIQUES, V28, P1068 14818 HUGHES AR, 2004, P NATL ACAD SCI USA, V101, P8998 14819 KELLEY SE, 1987, EVOLUTION, V41, P92 14820 KETTLEWELL B, 1973, EVOLUTION MELANISM S 14821 LEPS J, 1982, VEGETATIO, V50, P53 14822 LOREAU M, 2001, NATURE, V412, P72 14823 LUSCHER A, 1992, OECOLOGIA, V91, P404 14824 MACGILLIVRAY CW, 1995, FUNCT ECOL, V9, P640 14825 MAHDI A, 1989, J ECOL, V77, P386 14826 MCLELLAN AJ, 1997, J ECOL, V85, P479 14827 NYBOM H, 2004, MOL ECOL, V13, P1143 14828 ODAT N, 2004, MOL ECOL, V13, P1251 14829 PANNELL JR, 1998, EVOLUTION, V52, P657 14830 PRENTICE HC, 1995, J ECOL, V83, P391 14831 PRENTICE HC, 2000, J ECOL, V88, P331 14832 PRENTICE HC, 2006, J ECOL, V94, P87 14833 PROFFITT CE, 2005, J ECOL, V93, P404 14834 PUTWAIN PD, 1968, J ECOL, V56, P421 14835 REUSCH TBH, 2005, P NATL ACAD SCI USA, V102, P2826 14836 ROGERS SO, 1994, PLANT MOL BIOL MANUA, P1 14837 SHIPLEY B, 1993, ECOLOGY, V74, P1693 14838 SNAYDON RW, 1982, EVOLUTION, V36, P289 14839 STEINGER T, 1996, OECOLOGIA, V105, P94 14840 STREITWOLFENGEL R, 2001, ECOLOGY, V82, P2846 14841 TAYLOR DR, 1990, AM NAT, V136, P305 14842 THOMPSON JN, 1992, NATURE, V360, P121 14843 TURKINGTON R, 1979, J ECOL, V67, P245 14844 TURKINGTON R, 1996, EUPHYTICA, V92, P105 14845 VALIERE N, 2002, MOL ECOL NOTES, V2, P377 14846 VELLEND M, 2006, ECOLOGY, V87, P304 14847 WAITS LP, 2001, MOL ECOL, V10, P249 14848 WHITLOCK R, 2004, THESIS U SHEFFIELD S 14849 ZIETKIEWICZ E, 1994, GENOMICS, V20, P176 14850 NR 56 14851 TC 0 14852 PU BLACKWELL PUBLISHING 14853 PI OXFORD 14854 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 14855 SN 0022-0477 14856 J9 J ECOL 14857 JI J. Ecol. 14858 PD SEP 14859 PY 2007 14860 VL 95 14861 IS 5 14862 BP 895 14863 EP 907 14864 PG 13 14865 SC Ecology 14866 GA 206EM 14867 UT ISI:000249166700001 14868 ER 14869 14870 PT J 14871 AU Hirst, DE 14872 Koonce, L 14873 Venkataraman, S 14874 AF Hirst, D. Eric 14875 Koonce, Lisa 14876 Venkataraman, Shankar 14877 TI How disaggregation enhances the credibility of management earnings 14878 forecasts 14879 SO JOURNAL OF ACCOUNTING RESEARCH 14880 LA English 14881 DT Article 14882 ID VOLUNTARY DISCLOSURE; INFORMATION; EQUITY; PRECISION; ASSOCIATION; 14883 PERFORMANCE; JUDGMENTS; MARKET 14884 AB An important problem facing managers is how to enhance the credibility, 14885 or believability, of their earnings forecasts. In this paper, we 14886 experimentally test whether a characteristic of a management earnings 14887 fore cast-namely, whether it is disaggregated-can affect its 14888 credibility. We also test whether disaggregation moderates the relation 14889 between managerial incentives and forecast credibility Disaggregated 14890 forecasts include an earnings forecast as well as forecasts of other 14891 key line items comprising that earnings forecast. Our results indicate 14892 that disaggregated forecasts are judged to be more credible than 14893 aggregated ones and that disaggregation works to counteract the effect 14894 of high incentives. We also develop and test an original model that 14895 explains how disaggregation positively impacts three factors that, in 14896 turn, influence forecast credibility: perceived precision of 14897 management's beliefs, perceived clarity of the forecast, and perceived 14898 financial reporting quality. We show that forecast disaggregation works 14899 to remedy incentive problems only via its effect on perceived financial 14900 reporting quality. Overall, our study adds to our understanding of how 14901 managers can credibly communicate their expectations about the future 14902 to market participants. 14903 CR *C BOARD, 2003, AM SLOWL REG TRUST C 14904 *INT CORP, 2006, INT 4 QUART REV 1020 14905 *MICR CORP, 2005, MICR REP 1 QUART EAR 14906 *NEW YORK STOCK EX, SHAR 2000 HIGHL 14907 *XER CORP, 2006, XER REP 4 QUART EARN 14908 AJINKYA BB, 1984, J ACCOUNTING RES, V22, P425 14909 ARYA A, 2004, EUROPEAN ACCOUNTING, V13, P643 14910 BAGINSKI SP, 1993, ACCOUNT REV, V68, P913 14911 BARTON J, 2005, J ACCOUNT ECON, V39, P509 14912 BERGER PG, 2003, J ACCOUNTING RES, V41, P163 14913 BOGLE J, 20 ANN M COUNC I INV 14914 BOTOSAN CA, 2004, REV ACC STUD, V9, P233 14915 BUCKLESS FA, 1990, ACCOUNT REV, V65, P933 14916 BYRNE BM, 2001, STRUCTURAL EQUATION 14917 CHENG Q, 2005, ACCOUNT REV, V80, P441 14918 COLLER M, 1997, J ACCOUNTING RES, V35, P181 14919 DEMSKI JS, 1999, J ACCOUNTING RES S, V37, P187 14920 DYE RA, 1985, J ACCOUNTING RES, V23, P123 14921 FELTHAM GA, 1992, CONTEMP ACCOUNT RES, V9, P1 14922 FRANCIS J, 2004, ACCOUNT REV, V79, P967 14923 HARRIS MS, 1998, J ACCOUNTING RES, V36, P111 14924 HATCHER L, 1994, USING SAS FACTOR ANA 14925 HAYES RM, 1996, J ACCOUNTING RES, V34, P261 14926 HEALY P, 1999, CONTEMP ACCOUNT RES, V16, P485 14927 HIRST DE, 1999, J ACCOUNTING RES S, V37, P101 14928 HUGHES JS, 2004, J ACCOUNT ECON, V37, P261 14929 HUTTON AP, 2003, J ACCOUNTING RES, V41, P867 14930 JENNINGS R, 1987, J ACCOUNTING RES, V25, P90 14931 KASZNIK R, 1999, J ACCOUNTING RES, V37, P57 14932 KING R, 1990, J ACCOUNTING LITERAT, V9, P113 14933 KLINE RB, 2005, PRINCIPLES PRACTICE 14934 LIBBY R, 2002, ACCOUNT ORG SOC, V27, P777 14935 MAINES LA, 1997, J ACCOUNTING RES S, V35, P1 14936 MERCER M, 2004, ACCOUNTING HORIZONS, V18, P185 14937 PENMAN SH, 1980, J ACCOUNTING RES, V18, P132 14938 PETERSON RA, 1994, J CONSUM RES, V21, P381 14939 POWNALL G, 1989, J ACCOUNTING RES, V27, P227 14940 ROGERS JL, 2005, ACCOUNT REV, V80, P1233 14941 TVERSKY A, 1994, PSYCHOL REV, V101, P547 14942 VANBOVEN L, 2003, J EXP SOC PSYCHOL, V39, P263 14943 VERRECCHIA RE, 2001, J ACCOUNT ECON, V32, P97 14944 WAYMIRE G, 1984, J ACCOUNTING RES, V22, P703 14945 WILLIAMS PA, 1996, ACCOUNT REV, V71, P103 14946 NR 43 14947 TC 0 14948 PU BLACKWELL PUBLISHING 14949 PI OXFORD 14950 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 14951 SN 0021-8456 14952 J9 J ACCOUNT RES 14953 JI J. Account. Res. 14954 PD SEP 14955 PY 2007 14956 VL 45 14957 IS 4 14958 BP 811 14959 EP 837 14960 PG 27 14961 SC Business, Finance 14962 GA 193WS 14963 UT ISI:000248306500005 14964 ER 14965 14966 PT J 14967 AU Li, YQ 14968 Zhou, PF 14969 Fei, Z 14970 AF Li, Yanqiu 14971 Zhou, Pengfei 14972 Fei, Zhang 14973 TI Pattern density dependence of thermal deformation of extreme 14974 ultraviolet mask and its impact on full field lithography performance 14975 SO JAPANESE JOURNAL OF APPLIED PHYSICS PART 1-REGULAR PAPERS BRIEF 14976 COMMUNICATIONS & REVIEW PAPERS 14977 LA English 14978 DT Article 14979 DE EUVL; mask; optics; thermal deformation; next generation of lithography 14980 ID OPTICAL RETICLES; EXPOSURE 14981 AB Full field lithography performance of production extreme ultraviolet 14982 lithography (EUVL) toot has been studied when thermal deformation of 14983 mask and projection optics (PO) can not be neglected at 45 nm node. The 14984 thermal deformation of a philosophic design of EUV mask with certain 14985 local pattern density had been analyzed. The results show that thermal 14986 management is needed. The lithography performance of deformed EUVL 14987 system is degraded significantly due to the maximum pattern placement 14988 error of 5.9 nm on the wafer, consequently result in poor overlay 14989 accuracy. The results indicate that thermal deformation of system 14990 result in a tight role of system design, mask and resist technology. 14991 C1 Beijing Inst Technol, Beijing 100081, Peoples R China. 14992 Chinese Acad Sci, Inst Elect Engn, Beijing 100080, Peoples R China. 14993 Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China. 14994 RP Li, YQ, Beijing Inst Technol, Beijing 100081, Peoples R China. 14995 EM yanqiuli@hotmail.com 14996 CR ABDO AY, 2004, J MICROLITH MICROFAB, V3, P232 14997 ABDO AY, 2004, P SOC PHOTO-OPT 1-3, V5377, P1452 14998 FLAGELLO DG, 1997, P SOC PHOTO-OPT INS, V3051, P672 14999 FONTAINE BL, 2004, P SOC PHOTO-OPT INS, V5374, P300 15000 KINOSHITA H, 1991, JPN J APPL PHYS PT 1, V30, P3048 15001 LI YQ, 2005, J VAC SCI TECHNOL B, V23, P2679 15002 MARTIN CJ, 2001, P SOC PHOTO-OPT INS, V4343, P515 15003 ROBERTSON SA, 2003, P SOC PHOTO-OPT INS, V5037, P900 15004 VANDENBERGHE G, 2001, P SOC PHOTO-OPT INS, V4346, P179 15005 ZHANG QL, 2005, P SOC PHOTO-OPT 1-2, V5853, P234 15006 NR 10 15007 TC 0 15008 PU INST PURE APPLIED PHYSICS 15009 PI TOKYO 15010 PA 5F YUSHIMA BLDG, 2-31-22 YUSHIMA, BUNKYO-KU, TOKYO, 113-0034, JAPAN 15011 SN 0021-4922 15012 J9 JPN J APPL PHYS PT 1 15013 JI Jpn. J. Appl. Phys. Part 1 - Regul. Pap. Brief Commun. Rev. Pap. 15014 PD AUG 15015 PY 2007 15016 VL 46 15017 IS 8A 15018 BP 5104 15019 EP 5111 15020 PG 8 15021 SC Physics, Applied 15022 GA 201EK 15023 UT ISI:000248814100021 15024 ER 15025 15026 PT J 15027 AU Jun, EM 15028 Chang, S 15029 Kang, DH 15030 Kim, S 15031 AF Jun, Eun-Mi 15032 Chang, Soonbok 15033 Kang, Duck-Hee 15034 Kim, Sue 15035 TI Effects of acupressure on dysmenorrhea and skin temperature changes in 15036 college students: A non-randomized controlled trial 15037 SO INTERNATIONAL JOURNAL OF NURSING STUDIES 15038 LA English 15039 DT Article 15040 DE acupressure; dysmenorrhea; San Yin Jiao; acupoint 15041 ID ACUPUNCTURE; PAIN; MANAGEMENT; SYMPTOMS 15042 AB Background: Complementary and alternative therapies may be adopted as 15043 nursing interventions to alleviate dysmenorrhea and improve 15044 productivity, creativity, work performance, and quality of life. 15045 Objectives: This study aimed to evaluate the efficacy of San Yin Jiao 15046 (SP6) acupressure as a non-pharmaco logic nursing intervention for 15047 dysmenorrhea and identify its effects on temperature changes in two 15048 related acupoints as an explanatory mechanism of Z circulation. 15049 Design: A non-equivalent control group pre and post-test design was 15050 employed to verify the effects of SP6 acupressure on skin temperature 15051 and dysmenorrhea. Setting and participants: Young college women with 15052 primary dysmenorrhea were recruited from classrooms at two universities 15053 in Korea and 58 eligible participants were allotted to either a SP6 15054 acupressure group or placebo group that received light touch on the SP6 15055 acupoint. 15056 Methods: The experimental group received acupressure treatment within 15057 the first 8 It of menstruation, and severity of dysmenorrhea and skin 15058 temperature changes in the Zhongwan (CV2) and Qugu (CV12) acupoints 15059 were assessed prior to and 30 min, 1, 2, and 3 It following treatment. 15060 Results: There was a significant difference in severity of dysmenorrhea 15061 between the two groups immediately after (F = 18.50, p = 0.000) and for 15062 up to 2 It (F = 8.04, p = 0.032) post treatment. Skin temperature was 15063 significantly elevated at 30 min after acupressure at the suprapubic 15064 CV2 acupoint in the experimental group compared to the control group. 15065 Temperature elevation was also noted at the epigastric CV12 acupoint 15066 post treatment but group differences were not significant, indicating 15067 that SP6 acupressure relieves dysmenorrhea primarily by temperature 15068 elevation in the CV2 pathway. 15069 Conclusions: Acupressure to the SP6 meridian can be an effective 15070 non-invasive nursing intervention for alleviation of primary 15071 dysmenorrhea, with effects lasting 2 h post treatment. (C) 2006 15072 Elsevier Ltd. All rights reserved. 15073 C1 Dong Eui Univ, Coll Nat Sci, Dept Nursing, Pusan 614714, South Korea. 15074 Yonsei Univ, Coll Nursing, Seoul, South Korea. 15075 Univ Alabama, Sch Nursing, Birmingham, AL USA. 15076 RP Jun, EM, Dong Eui Univ, Coll Nat Sci, Dept Nursing, San 24, Pusan 15077 614714, South Korea. 15078 EM charminggold@hanmail.net 15079 CR AHN YK, 1991, MERIDIAN POINTS 15080 BAEK HK, 1998, THESIS SEOUL NATL U 15081 BEAL MW, 1999, J NURSE-MIDWIFERY, V44, P217 15082 BIANCHIDEMICHELI F, 2001, GYNECOL OBSTET INVES, V51, P55 15083 BROOKSGUNN J, 1980, PSYCHOSOM MED, V42, P503 15084 BUSCH A, 1997, ARTHRITIS RHEUMATISM, V40, P176 15085 CHEN HM, 2004, J ADV NURS, V48, P380 15086 CHEUN KG, 1991, KOREAN J CLIN PSYCHO, V10, P137 15087 CHOI YT, 1991, ACUPUNCTURE SCI 15088 COHEN J, 1988, STAT POWER ANAL BEHA 15089 DAVIS AR, 2001, J PEDIAT ADOLESC GYN, V14, P3 15090 DMITROVIC R, 2000, ACTA OBSTET GYN SCAN, V79, P1112 15091 GENTZ BA, 2001, CLIN OBSTET GYNECOL, V44, P704 15092 HABEK D, 2003, GYNAKOL GEBURT RUNDS, V43, P250 15093 HAN SH, 2000, J KOREAN ACAD ADULT, V13, P420 15094 HELMS JM, 1987, OBSTET GYNECOL, V69, P51 15095 HONG YR, 2005, KOREAN J CHILD HLTH, V11, P109 15096 JOHNSON J, 1974, NURS RES, V23, P203 15097 JUNG YL, 1997, FOOT REFLEXO MASSAGE 15098 KIM CH, 1997, ACUPRESSURE DONGEUIB 15099 KIM DW, 1999, ACUPUNCTURE 15100 KIM GS, 1999, SEOUL J NURSING, V13, P7 15101 KIM HW, 2001, J ORIENTAL GYNECOLOG, V14, P311 15102 KIM KM, 2002, THESIS YONSEI U SEOU 15103 KIM MA, 1993, J EW MED, V23, P25 15104 KIM NK, 2005, HLTH NEWSPAPER 15105 KIM SO, 2001, KOREAN J WOMENS HLTH, V7, P610 15106 KOTANI N, 2001, ANESTHESIOLOGY, V95, P349 15107 LEE YJ, 1993, THESIS SEOUL NATL U 15108 LIAN YL, 2000, SEIRIN PICTORIAL ATL, P86 15109 MACIOCIA G, 1998, OBSTET GYNECOLOGY CH, P235 15110 PARK SH, 2002, THESIS YONSEI U SEOU 15111 SA HR, 1994, REPORT 120 CASES PRI 15112 TAYLOR D, 2002, J ALTERN COMPLEM MED, V8, P357 15113 WOODS NF, 1985, NURS RES, V34, P263 15114 ZHAN C, 1990, J TRADIT CHIN MED, V10, P33 15115 NR 36 15116 TC 0 15117 PU PERGAMON-ELSEVIER SCIENCE LTD 15118 PI OXFORD 15119 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 15120 SN 0020-7489 15121 J9 INT J NURS STUD 15122 JI Int. J. Nurs. Stud. 15123 PD AUG 15124 PY 2007 15125 VL 44 15126 IS 6 15127 BP 973 15128 EP 981 15129 PG 9 15130 SC Nursing 15131 GA 194AF 15132 UT ISI:000248315600013 15133 ER 15134 15135 PT J 15136 AU Chen, SJ 15137 AF Chen, Shyh-Jer 15138 TI Human resource strategy and unionization: evidence from Taiwan 15139 SO INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT 15140 LA English 15141 DT Article 15142 DE high performance work practices; industrial relations; trade unions; 15143 Taiwan 15144 ID INDUSTRIAL-RELATIONS; ORGANIZATIONAL PERFORMANCE; MANAGEMENT-PRACTICES; 15145 FIRM PERFORMANCE; TURNOVER; SYSTEMS; IMPACT 15146 AB Over the past two decades, industrial relations (IR) have seen the 15147 continuous decline of trade unions and a growing interest in high 15148 performance work practices (HPWPs). Human resource researchers, 15149 examining the traditional adversarial IR strategies, are increasingly 15150 calling for more co-operative and innovative HPWPs in employment 15151 relations. Can traditional union adversarial strategies exist along 15152 with HPWPs or does one necessarily exclude the other? To answer this 15153 question, this study, using questionnaires collected from locally owned 15154 and multinational corporations in Taiwan, investigates the association 15155 between unionization rate and HPWPs. Contrary to most findings from the 15156 Western context, HPWPs were found to have a positive and statistically 15157 significant impact on unionization at the firm level in Taiwan. The 15158 positive impact may be result of close and friendly relationship 15159 between employers and unions and the practices of 'employer-sponsored' 15160 unions in Taiwan. Furthermore, traditional Confucian culture and 15161 institutional factors have strengthened the influence of HPWPs on 15162 unionization. 15163 C1 Natl Sun Yat Sen Univ, Inst Human Resource Management, Kaohsiung 80424, Taiwan. 15164 RP Chen, SJ, Natl Sun Yat Sen Univ, Inst Human Resource Management, 15165 Kaohsiung 80424, Taiwan. 15166 EM schen@mail.nsysu.edu.tw 15167 CR *CLA, 2005, MONTHL B LAB STAT TA 15168 *DGBAS, 2005, MONTHL B MANP STAT O 15169 APPELBAUM E, 1994, NEW AM WORKPLACE TRA 15170 ARTHUR JB, 1992, IND LABOR RELAT REV, V45, P488 15171 ARTHUR JB, 1994, ACAD MANAGE J, V37, P670 15172 BAE J, 1998, INT J HUM RESOUR MAN, V9, P653 15173 BAE J, 2003, INT J HUM RESOUR MAN, V14, P1308 15174 BARNEY J, 1991, J MANAGE, V17, P99 15175 BATT R, 2002, ACAD MANAGE J, V45, P587 15176 BECKER B, 1996, ACAD MANAGE J, V39, P779 15177 CAPPELLI P, 1997, CHANGE WORK 15178 CAPPELLI P, 2001, IND LABOR RELAT REV, V54, P737 15179 CHEN C, 1990, MANAGEMENT ASIA CONT, P177 15180 CHEN SJ, 2003, IND RELAT, V42, P315 15181 CHEN SJ, 2005, HUM RESOURCE MANAGE, V44, P237 15182 DELANEY JT, 1996, ACAD MANAGE J, V39, P949 15183 DELERY JE, 1996, ACAD MANAGE J, V39, P802 15184 DEYO F, 1989, MIRACLE LABOR SUBORD 15185 EATON A, 1992, UNIONS EC COMPETITIV 15186 FREEMAN R, 1994, P 46 ANN M IND REL R, P231 15187 FRENKEL S, 1993, ORG LABOR ASIA PACIF 15188 GODARD J, 1997, IND RELAT, V36, P206 15189 GODARD J, 2000, IND LABOR RELAT REV, V53, P482 15190 GUEST D, 1995, HUMAN RESOURCE MANAG 15191 HAMILTON GG, 1996, ASIAN BUSINESS NETWO 15192 HUANG IC, 1998, SUN YATSEN MANAG AUG, P643 15193 HUSELID MA, 1995, ACAD MANAGE J, V38, P635 15194 HUSELID MA, 1997, ACAD MANAGE J, V40, P171 15195 ICHNIOWSKI C, 1996, IND RELAT, V35, P356 15196 KATZ H, 1995, ACAD MANAGE REV, V28, P509 15197 KAUFMAN B, 1993, ORIGINS EVOLUTION FI 15198 KEEFE J, 1992, UNIONS EC COMPETITIV 15199 KLEINGARTNER A, 1991, BRIT J IND RELAT, V29, P427 15200 KOCHAN T, 1986, TRANSFORMATION AM IN 15201 LAWLER JJ, 1990, UNIONIZATION DEUNION 15202 LAZEAR E, 1998, PERSONNEL EC MANAGER 15203 LEE JS, 1988, CHUNG HUA I EC RES C, V11, P177 15204 LEGGE K, 1995, HUMAN RESOURCE MANAG 15205 LEWIN D, 1992, P 44 ANN M IND REL R, P344 15206 LUI T, 1999, GLOBAL TRENDS FLEXIB 15207 MACHIN S, 2005, IND LABOR RELAT REV, V58, P201 15208 OSTERMAN P, 1994, IND LABOR RELAT REV, V47, P173 15209 PFEFFER J, 1994, COMPETITIVE ADVANTAG 15210 PURCELL J, 1986, J MANAGE STUD, V23, P205 15211 PURCELL J, 1987, J MANAGE STUD, V24, P533 15212 SHARMA B, 1985, ASPECTS IND RELATION 15213 SHAW JD, 1998, ACAD MANAGE J, V41, P511 15214 STOREY J, 1995, HUMAN RESOURCE MANAG 15215 WALTON RE, 1985, HARVARD BUS REV, V63, P77 15216 WILKINSON B, 1994, LABOR IND ASIA PACIF 15217 WRIGHT PM, 1992, J MANAGE, V18, P295 15218 WRIGHT PM, 2002, J MANAGE, V28, P247 15219 NR 52 15220 TC 0 15221 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 15222 PI ABINGDON 15223 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 15224 SN 0958-5192 15225 J9 INT J HUM RESOUR MANAG 15226 JI Int. J. Hum. Resour. Manag. 15227 PY 2007 15228 VL 18 15229 IS 6 15230 BP 1116 15231 EP 1131 15232 PG 16 15233 SC Management 15234 GA 193SK 15235 UT ISI:000248294500010 15236 ER 15237 15238 PT J 15239 AU Acikalin, T 15240 Garimella, SV 15241 Raman, A 15242 Petrosk, J 15243 AF Acikalin, Tolga 15244 Garimella, Suresh V. 15245 Raman, Arvind 15246 Petrosk, James 15247 TI Characterization and optimization of the thermal performance of 15248 miniature piezoelectric fans 15249 SO INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW 15250 LA English 15251 DT Article 15252 DE electronics cooling; piezoelectric fans; miniature fans; low-noise 15253 fans; heat transfer enhancement 15254 ID LARGE-AMPLITUDE; BIMORPH; BEAMS; FLOW 15255 AB Piezoelectric fans have emerged as a viable cooling technology for the 15256 thermal management of electronic devices, owing to their lowpower 15257 consumption, minimal noise emission, and small and configurable 15258 dimensions. Piezoelectric fans are investigated for application in the 15259 cooling of low-power electronics. Different experimental configurations 15260 are considered, and the effect of varying the fan amplitude, the 15261 distance between the fan and the heat source, the fan length, its 15262 frequency offset from resonance, and the fan offset from the center of 15263 the heat source are studied to assess the cooling potential of the 15264 fans. A design of experiments (DOE) analysis revealed the fan frequency 15265 offset from resonance and the fan amplitude as the critical parameters. 15266 Transfer functions are obtained from the DOE analysis for the 15267 implementation of these fans in electronics cooling. For the best case, 15268 an enhancement in convective heat transfer coefficient exceeding 375% 15269 relative to natural convection was observed, resulting in a temperature 15270 drop at the heat source of more than 36.4 degrees C. A computational 15271 model for the flow field and heat transfer induced by the piezoelectric 15272 fan is also developed. Effects of the flow on convection heat transfer 15273 for different fan-to-heat source distances and boundary conditions are 15274 analyzed. Transition between distinct convection patterns is observed 15275 with changes in the parameters. The computational results are validated 15276 against experimental measurements, with good agreement. (c) 2006 15277 Elsevier Inc. All rights reserved. 15278 C1 Purdue Univ, W Lafayette, IN 47907 USA. 15279 GELcore, Valley View, OH 44125 USA. 15280 RP Garimella, SV, Purdue Univ, W Lafayette, IN 47907 USA. 15281 EM sureshg@ecn.purdue.edu 15282 CR ACIKALIN T, 2003, J ACOUST SOC AM 1, V114, P1785 15283 ACIKALIN T, 2004, HEAT TRANSFER ENG, V25, P4 15284 BASAK S, 2005, J VIB ACOUST, V127, P18 15285 BUERMANN P, 2002, IEEE T COMPON PACK T, V25, P113 15286 IHARA A, 1994, J FLUID STRUCT, V8, P601 15287 LOH BG, 2002, J ACOUST SOC AM, V111, P875 15288 SCHMIDT RR, 1994, P ITHERM, P41 15289 SCHMIDT SR, 2003, UNDERSTANDING IND DE 15290 TODA M, 1979, FERROELECTRICS, V22, P911 15291 TODA M, 1981, FERROELECTRICS, V32, P127 15292 WAIT SM, 2004, P 6 ISHMT ASME HEAT, P447 15293 YOO JH, 2000, SENSOR ACTUAT A-PHYS, V79, P8 15294 NR 12 15295 TC 0 15296 PU ELSEVIER SCIENCE INC 15297 PI NEW YORK 15298 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 15299 SN 0142-727X 15300 J9 INT J HEAT FLUID FLOW 15301 JI Int. J. Heat Fluid Flow 15302 PD AUG 15303 PY 2007 15304 VL 28 15305 IS 4 15306 SI Sp. Iss. SI 15307 BP 806 15308 EP 820 15309 PG 15 15310 SC Thermodynamics; Engineering, Mechanical; Mechanics 15311 GA 205TD 15312 UT ISI:000249136600023 15313 ER 15314 15315 PT J 15316 AU Zlopasa, G 15317 Skrablin, S 15318 Katafatic, D 15319 Banovic, V 15320 Lesin, J 15321 AF Zlopasa, G. 15322 Skrablin, S. 15323 Katafatic, D. 15324 Banovic, V. 15325 Lesin, J. 15326 TI Uterine anomalies and pregnancy outcome following resectoscope 15327 metroplasty 15328 SO INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS 15329 LA English 15330 DT Article 15331 DE pregnancy outcome; resectoscope metroplasty; uterine anomalies 15332 ID SEPTATE UTERUS; HYSTEROSCOPIC TREATMENT; REPRODUCTIVE-PERFORMANCE; 15333 MULLERIAN ANOMALIES; UNICORNUATE UTERUS; WOMEN; MALFORMATIONS; 15334 INFERTILITY; MANAGEMENT 15335 AB Objective: To compare reproductive outcome in women with uterine 15336 anomalies and women with a normat uterus, and evatuate the effect of 15337 resectoscope metroptasty. Methods: The pregnancy outcomes, past and 15338 present, of 105 women with congenital uterine anomalies were compared 15339 with those of 182 women with a normally shaped uterus. The outcomes of 15340 25 women with septate and bicornuate uteri before and after 15341 resectoscope metroplasty were also analyzed. 2 The x(2) and 15342 Mann-Whitney U test were used for statistical analysis, with P<0.05 15343 considered statistically significant. Results: Uterine anomalies were 15344 associated with higher rates of spontaneous abortion, preterm delivery, 15345 intrauterine growth retardation, breech presentation, and cesarean 15346 delivery (P<0.001). The highest incidence of early spontaneous abortion 15347 was noted among women with septate uteri, and the highest incidence of 15348 preterm labor was noted among women with arcuate or bicornuate uteri. 15349 Among women with arcuate uteri, significantly lower gestational age and 15350 birth-weight were observed compared with any other type of adverse 15351 outcome. Compared with their previous pregnancies, the abortion rates 15352 were tower and delivery rates were higher in women who conceived 15353 following hysteroscopic metroptasty (P<0.001). Conclusion: 15354 Resesctoscope metroptasty significantly improved pregnancy outcome in 15355 women with uterine anomalies. (c) 2007 International Federation of 15356 Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All, 15357 rights reserved. 15358 C1 Univ Zagreb, Sch Med, Dept Perinatal Med, Zagreb 41001, Croatia. 15359 RP Zlopasa, G, Univ Zagreb, Sch Med, Dept Perinatal Med, Zagreb 41001, 15360 Croatia. 15361 EM vladimir.banovic2@zg.t-com.hr 15362 CR *AM SOC REPR MED, 1988, FERTIL STERIL, V49, P1944 15363 ACIEN P, 1993, HUM REPROD, V8, P122 15364 BURCHELL RC, 1978, BRIT J OBSTET GYNAEC, V85, P698 15365 BUTTRAM VC, 1983, FERTIL STERIL, V40, P159 15366 CHOE JK, 1992, FERTIL STERIL, V57, P81 15367 DALY DC, 1989, OBSTET GYNECOL, V73, P201 15368 DRAZANCIC A, 1988, JUGOSL GINEKOL PERIN, V28, P13 15369 FEDELE L, 1987, FERTIL STERIL, V47, P416 15370 FEDELE L, 1996, FERTIL STERIL, V65, P750 15371 GRIMBIZIS G, 1998, HUM REPROD, V13, P1188 15372 GRIMBIZIS GF, 2001, HUM REPROD UPDATE, V7, P161 15373 KIRK EP, 1993, FERTIL STERIL, V59, P1164 15374 LUDMIR J, 1990, OBSTET GYNECOL, V75, P906 15375 MARCH CM, 1987, AM J OBSTET GYNECOL, V156, P834 15376 MARCUS S, 1996, AM J OBSTET GYNECOL, V175, P85 15377 MCSHANE PM, 1983, FERTIL STERIL, V40, P190 15378 MOUTOS DM, 1992, FERTIL STERIL, V58, P88 15379 NAHUM GG, 1998, J REPROD MED, V43, P877 15380 PABUCCU R, 2004, FERTIL STERIL, V81, P1675 15381 PELLICER A, 1997, HUM REPROD, V12, P1371 15382 PERINO A, 1992, FERTIL STERIL, V57, P81 15383 RAGA F, 1997, HUM REPROD, V12, P2277 15384 VALLE RF, 1986, OBSTET GYNECOL, V67, P253 15385 NR 23 15386 TC 0 15387 PU ELSEVIER IRELAND LTD 15388 PI CLARE 15389 PA ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, 15390 IRELAND 15391 SN 0020-7292 15392 J9 INT J GYNECOL OBSTET 15393 JI Int. J. Gynecol. Obstet. 15394 PD AUG 15395 PY 2007 15396 VL 98 15397 IS 2 15398 BP 129 15399 EP 133 15400 PG 5 15401 SC Obstetrics & Gynecology 15402 GA 202CC 15403 UT ISI:000248878400009 15404 ER 15405 15406 PT J 15407 AU Parayitam, S 15408 Dooley, RS 15409 AF Parayitam, Satyanarayana 15410 Dooley, Robert S. 15411 TI The relationship between conflict and decision outcomes - Moderating 15412 effects of cognitive- and affect-based trust in strategic 15413 decision-making teams 15414 SO INTERNATIONAL JOURNAL OF CONFLICT MANAGEMENT 15415 LA English 15416 DT Article 15417 DE strategic management; cognition; organizational conflict; conflict 15418 management; decision making units; trust 15419 ID TOP MANAGEMENT TEAMS; ORGANIZATIONAL PERFORMANCE; DIALECTICAL INQUIRY; 15420 INTRAGROUP CONFLICT; DEVILS ADVOCACY; TASK CONFLICT; CONSENSUS; MODELS; 15421 IMPLEMENTATION; COMMITMENT 15422 AB Purpose - Research on strategic decision making has over-emphasized the 15423 importance of cognitive conflict because of its potential benefits. 15424 Recent research documented that, apart from the benefits, cognitive 15425 conflict leads to affective conflict. Taking information processing 15426 perspective, the present study seeks to argue that the benefits of 15427 cognitive conflict can be stimulated by the cognition-based trust, 15428 while the interplay between cognitive conflict and affective conflict 15429 can be influenced by affect-based trust. The present study therefore 15430 aims to demonstrate the divergent roles of the perceived 15431 trustworthiness as potential moderators in strategic decision-making 15432 teams. 15433 Design/methodology/approach - Using structured survey instrument, 15434 multi-informant data was collected from CEOs and senior executives of 15435 109 US hospitals. After performing confirmatory factor analysis of the 15436 measures used, the data was analyzed using hierarchical regression 15437 techniques to analyze divergent roles of cognition- and affect-based 15438 trust as moderators in the relationship between conflict and decision 15439 outcomes. 15440 Findings - Results showed that cognition-based trust is the key to 15441 fortify the benefits of cognitive conflict while affect-based trust is 15442 the panacea for the ills of cognitive conflict. 15443 Research limitations/implications - The sample consisted of hospitals 15444 in healthcare industry only. Self-report measures may have some 15445 inherent social desirability bias. 15446 Practical implications - This study contributes to both practicing 15447 managers as well as to strategic management literature. This study 15448 suggests that trust between the executives involved in strategic 15449 decision-making process plays an important role in enhancing decision 15450 quality. It is therefore suggested that CEOs and administrators engage 15451 the executives who have both cognition- and affect-based trust with 15452 each other to have successful decision outcomes. 15453 Originality/value - Though the sample in the present study focuses only 15454 on healthcare industry, to the extent strategic decision-making process 15455 is similar in other industries, the findings can be generalizable 15456 across other industries. 15457 C1 McNeese State Univ, Coll Business Adm, Dept Management, Lake Charles, LA 70605 USA. 15458 Oklahoma State Univ, Spears Sch Business, Dept Management, Stillwater, OK 74078 USA. 15459 RP Parayitam, S, McNeese State Univ, Coll Business Adm, Dept Management, 15460 Lake Charles, LA 70605 USA. 15461 EM sparayitam@mcneese.edu 15462 CR 2003, HOSP BLUE BOOK 15463 AIKEN L, 1991, MULTIPLE REGRESSION 15464 AMASON AC, 1996, ACAD MANAGE J, V39, P123 15465 ASHBY WR, 1956, INTRO CYBERNETICS 15466 BANDURA A, 1986, SOCIAL FDN THOUGHT A 15467 BANTEL KA, 1989, STRATEGIC MANAGE J, V10, P107 15468 CARLSON DS, 2000, J MANAGE, V26, P1031 15469 CLARK MS, 1979, J PERS SOC PSYCHOL, V37, P12 15470 COHEN J, 1983, APPL MULTIPLE REGRES 15471 COOK J, 1980, J OCCUP PSYCHOL, V53, P39 15472 DEDREU CKW, 2003, J APPL PSYCHOL, V88, P741 15473 DEDREU CKW, 2006, J MANAGE, V32, P83 15474 DESS GG, 1984, STRATEGIC MANAGE J, V5, P265 15475 DESS GG, 1987, STRATEGIC MANAGE J, V8, P259 15476 DIEHL M, 1987, J PERS SOC PSYCHOL, V53, P497 15477 DILMAN DA, 1978, MAIL TELEPHONE SURVE 15478 DIRKS KT, 2001, ORGAN SCI, V12, P450 15479 DOOLEY RS, 1999, ACAD MANAGE J, V42, P389 15480 DOOLEY RS, 2000, J MANAGE, V26, P1237 15481 DUTTON JE, 1987, STRATEGIC MANAGE J, V8, P279 15482 EDMONDSON A, 1999, ADMIN SCI QUART, V44, P350 15483 EDMONDSON AC, 2006, CALIF MANAGE REV, V49, P6 15484 EINHORN HJ, 1977, PSYCHOL BULL, V84, P158 15485 EISENHARDT KM, 1992, STRATEGIC MANAGE J, V13, P17 15486 EISENHARDT KM, 1997, CALIF MANAGE REV, V39, P42 15487 EISENHARDT KM, 1997, HARVARD BUS REV, V75, P77 15488 ELANGOVAN AR, 1999, J ORGAN BEHAV, V20, P359 15489 ENSLEY MD, 2001, J ORGAN BEHAV, V22, P145 15490 EREZ M, 1985, ACAD MANAGE J, V28, P50 15491 FINKELSTEIN S, 1996, STRATEGIC LEADERSHIP 15492 FISCHHOFF B, 1975, ORGAN BEHAV HUM PREF, V13, P1 15493 FORNELL C, 1981, J MARKETING RES, V18, P39 15494 GALBRAITH JR, 1973, DESIGNING COMPLEX OR 15495 GIBB JR, 1964, T GROUP THEORY LABOR, P279 15496 GLICK WH, 1985, ACAD MANAGE REV, V10, P601 15497 GOLDEN BR, 1992, ACAD MANAGE J, V35, P848 15498 GOLL I, 1997, STRATEGIC MANAGE J, V18, P583 15499 GUTH WD, 1986, STRATEGIC MANAGE J, V7, P313 15500 HACKETT RD, 1992, ACAD MANAGEMENT BEST, P212 15501 HAMBRICK DC, 1994, RES ORGAN BEHAV, V16, P171 15502 HARTWICK J, 1982, IMPROVING GROUP DECI, P41 15503 HOLMES JG, 1989, CLOSE RELATIONSHIPS, P187 15504 HUBER GP, 1985, STRATEGIC MANAGE J, V6, P171 15505 ILGEN DR, 2005, ANNU REV PSYCHOL, V56, P517 15506 JAMES LR, 1984, J APPL PSYCHOL, V69, P85 15507 JANSSEN O, 1999, J MANAGE, V25, P117 15508 JEHN KA, 1994, INT J CONFL MANAGE, V5, P223 15509 JEHN KA, 1995, ADMIN SCI QUART, V40, P256 15510 JEHN KA, 1997, USING CONFLICT ORG, P87 15511 JOHNSONGEORGE C, 1982, J PERS SOC PSYCHOL, V43, P1306 15512 KENNEDY P, 1979, GUIDE ECONOMETRICS 15513 KONRAD AM, 1995, ACAD MANAGE J, V38, P787 15514 LANGFRED CW, 2004, ACAD MANAGE J, V47, P385 15515 LEIFER R, 1996, J MANAGE, V22, P112 15516 LEWIS JD, 1985, SOC FORCES, V63, P967 15517 LITTLEPAGE G, 1997, ORGAN BEHAV HUM DEC, V69, P133 15518 LUHMANN N, 1979, TRUST POWER 15519 MASON RO, 1981, CHALLENGING STRATEGI 15520 MAYER RC, 1995, ACAD MANAGE REV, V20, P709 15521 MCALLISTER DJ, 1995, ACAD MANAGE J, V38, P24 15522 MCEVILY B, 2003, ORGAN SCI, V14, P1 15523 MCGRATH JE, 1984, GROUPS INTERACTION P 15524 MILLER D, 1982, STRATEGIC MANAGEMENT, V3, P1 15525 MISHRA AK, 1996, TRUST ORG FRONTIERS, P261 15526 NETEMEYER RG, 1990, J APPL PSYCHOL, V75, P148 15527 NISBETT R, 1980, HUMAN INTERFENCE STR 15528 PEAR R, 2004, NY TIMES 0109 15529 PELLED LH, 1999, ADMIN SCI QUART, V44, P1 15530 PFEFFER J, 1981, POWER ORG 15531 PODSAKOFF PM, 1986, J MANAGE, V12, P531 15532 PODSAKOFF PM, 2003, J APPL PSYCHOL, V88, P879 15533 PONDY LR, 1967, ADM SCI Q, V12, P296 15534 PROVAN KG, 1991, J MANAGE STUD, V28, P281 15535 RAHIM MA, 1983, J GEN PSYCHOL, V109, P189 15536 ROBERTO MA, 2004, GROUP ORGAN MANAGE, V29, P625 15537 ROBERTO MA, 2005, WHY GREAT LEADERS DO 15538 ROSS RS, 1989, SMALL GROUPS ORG SET, P139 15539 SCHLENKER BR, 1973, J PERS SOC PSYCHOL, V25, P419 15540 SCHWEIGER DM, 1986, ACAD MANAGE J, V29, P51 15541 SCHWEIGER DM, 1989, ACAD MANAGE J, V32, P745 15542 SCHWENK CR, 1995, J MANAGE, V21, P471 15543 SIMONS T, 1999, ACAD MANAGE J, V42, P662 15544 SIMONS TL, 2000, J APPL PSYCHOL, V85, P102 15545 STASSER G, 1992, GROUP PROCESS PRODUC, P48 15546 STASSER G, 1995, J EXP SOC PSYCHOL, V31, P244 15547 THOMPSON JD, 1967, ORG ACTION 15548 TSUI AS, 1995, ACAD MANAGE J, V38, P1515 15549 WEST MA, 1996, J APPL PSYCHOL, V81, P680 15550 WEST MA, 2002, APPL PSYCHOL-INT REV, V51, P411 15551 WILLIAMS KY, 1998, RES ORGAN BEHAV, V20, P77 15552 WILLIAMSON OE, 1985, EC I CAPITALISM FIRM 15553 WOOLDRIDGE B, 1990, STRATEGIC MANAGE J, V11, P231 15554 ZAND DE, 1972, ADM SCI Q, V17, P229 15555 ZUCKER LG, 1986, RES ORGAN BEHAV, V8, P53 15556 NR 94 15557 TC 0 15558 PU EMERALD GROUP PUBLISHING LIMITED 15559 PI BRADFORD 15560 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 15561 SN 1044-4068 15562 J9 INT J CONFL MANAGEMENT 15563 JI Int. J. Confl. Manage. 15564 PY 2007 15565 VL 18 15566 IS 1 15567 BP 42 15568 EP 73 15569 PG 32 15570 SC Communication; Management 15571 GA 193ZM 15572 UT ISI:000248313700003 15573 ER 15574 15575 PT J 15576 AU Wang, GF 15577 Jing, RT 15578 Klossek, A 15579 AF Wang, Guofeng 15580 Jing, Runtian 15581 Klossek, Andreas 15582 TI Antecedents and management of conflict - Resolution styles of Chinese 15583 top managers in multiple rounds of cognitive and affective conflict 15584 SO INTERNATIONAL JOURNAL OF CONFLICT MANAGEMENT 15585 LA English 15586 DT Article 15587 DE China; cognition; affective psychology; conflict management; stress; 15588 senior managers 15589 ID STRATEGIC DECISION-MAKING; ORGANIZATIONAL CONFLICT; INTERPERSONAL 15590 CONFLICT; UNDERSTANDING CONFLICT; INTRAGROUP CONFLICT; PERFORMANCE; 15591 STRESS; TEAMS; NEGOTIATIONS; AVOIDANCE 15592 AB Purpose - The purpose of this study is to examine the relationship 15593 between demographic characteristics, job stress, and cognitive and 15594 affective conflict faced by Chinese top managers and how this conflict 15595 is resolved over multiple rounds of conflict situations. 15596 Design/methodology/approach - A questionnaire was designed and 15597 submitted to Chinese top managers of firms located in Sichuan Province, 15598 PRC. Besides Likert-type questions concerning demographic 15599 characteristics, job stress, and both types of conflict, contextual 15600 anchorage method was used to let top managers rank the conflict 15601 resolution styles they would prefer for solving a given situation of 15602 conflict. 15603 Findings - Data were submitted to hierarchical regression analysis. It 15604 was found that age is in negative relation with job stress and that the 15605 higher the education level of top managers, the more cognitive conflict 15606 they will experience. In turn, the more cognitive conflict, the more 15607 affective conflict will be experienced. In addition, it was found that 15608 job stress is in positive association with cognitive conflict. Finally 15609 and most importantly, the findings indicated that Chinese top managers 15610 are inclined to using integrating to handle conflict. This seems to be 15611 generally inconsistent with traditional Chinese culture. 15612 Originality/value - The paper accounted for respective calls that 15613 proposed to focus on the antecedent conditions of cognitive and 15614 affective conflict. Therefore, a framework containing important 15615 antecedent factors of conflict was proposed. As a first attempt, it 15616 integrated the relationship between job stress and conflict. Most 15617 importantly, and also as a first attempt, however, this study sought to 15618 identify the conflict resolution styles Chinese top managers applied 15619 over multiple rounds of conflict situations, whereas findings 15620 additionally differentiate between affective and cognitive types of 15621 conflict. 15622 C1 Univ Elect Sci & Technol China, Sch Management, Chengdu 610054, Peoples R China. 15623 Freiberg Univ Technol & Min, Dept Business Adm, Freiberg, Germany. 15624 RP Wang, GF, Univ Elect Sci & Technol China, Sch Management, Chengdu 15625 610054, Peoples R China. 15626 EM wangest@163.com 15627 CR 2002, STRATEGIC DIRECTION, V18, P22 15628 2004, CHINESE WEEKENDS, P65 15629 *UNCTAD, 2005, FIRMS DEV COUNTR RAP 15630 ADLER NJ, 1992, STRATEGIC MANAGE J, V13, P449 15631 AMASON AC, 1995, ORGAN DYN, V24, P20 15632 AMASON AC, 1996, ACAD MANAGE J, V39, P123 15633 AMASON AC, 1997, J MANAGE, V23, P495 15634 AMASON AC, 1997, USING CONFLICT ORG, P101 15635 AMASON AC, 1999, INT J CONFL MANAGE, V10, P340 15636 BARON RA, 1984, J APPL PSYCHOL, V69, P272 15637 BLAKE RR, 1964, MANAGERIAL GRID 15638 BREHMER B, 1976, PSYCHOL BULL, V83, P985 15639 CAPLAN RD, 1975, JOB DEMANDS WORKERS 15640 CAVANAUGH MA, 2000, J APPL PSYCHOL, V85, P65 15641 CHEN G, 2002, ASIA PACIFIC J MANAG, V19, P557 15642 CHEN GQ, 2005, J MANAGE STUD, V42, P277 15643 CHEUNG CC, 1999, INT J PROJ MANAGE, V17, P393 15644 COOPER C, 1984, INT MANAG, V39, P42 15645 ENSLEY MD, 2002, J BUS VENTURING, V17, P365 15646 FEVRE ML, 2003, J MANAGERIAL PSYCHOL, V18, P726 15647 FRANKE RH, 1991, STRATEGIC MANAGE J, V12, P165 15648 FRIEDMAN RA, 2000, INT J CONFL MANAGE, V11, P32 15649 GLAZER R, 1990, INT J FORECASTING, V6, P149 15650 HAMBRICK DC, 1984, ACAD MANAGE REV, V9, P193 15651 HAMBRICK DC, 1987, CALIF MANAGE REV, V30, P88 15652 HARRIS JA, 1999, J BUS PSYCHOL, V13, P447 15653 HE Z, 2002, CHINESE CONFLICT MAN, P129 15654 HITT MA, 1991, STRATEGIC MANAGE J, V12, P327 15655 HOFSTEDE G, 1988, ORGAN DYN, V16, P4 15656 HOFSTEDE G, 1993, ACADEMY MANAGEMENT E, V7, P81 15657 HU Y, 2004, CHINESE ENTERPRISER, P66 15658 HUO YP, 1991, ASIA PACIFIC J MANAG, V8, P159 15659 JEHN KA, 1995, ADMIN SCI QUART, V40, P256 15660 JEHN KA, 1997, J INT MANAGEMENT, V3, P291 15661 JEHN KA, 1997, USING CONFLICT ORG, P87 15662 KNUTSON TJ, 2000, INTERCULTURAL COMMUN, V9, P1 15663 KNUTSON TJ, 2002, CHINESE CONFLICT MAN, P149 15664 LAWRENCE BS, 1997, ORGAN SCI, V8, P1 15665 LEUNG K, 1988, J CROSS CULTURAL PSY, V19, P125 15666 LEUNG K, 1997, NEW PERSPECTIVES INT, P640 15667 LEUNG K, 2002, ASIA PACIFIC J MANAG, V19, P201 15668 LIN XH, 1998, J INT BUS STUD, V29, P179 15669 LIU S, 2002, CHINESE CONFLICT MAN, P163 15670 MARTIN JN, 2000, INTERCULTURAL COMMUN 15671 MCDONALD A, 1972, HARVARD BUS REV, V50, P59 15672 MCGRATH JE, 1984, GROUPS INTERACTION P 15673 MOHAMMED B, 1996, MANAGEMENT RES, V19, P50 15674 MOLLEMAN E, 2005, GROUP DECIS NEGOT, V14, P173 15675 MURPHY LR, 1995, TRENDS ORG BEHAV, V2, P1 15676 MUSE LA, 2003, HUM PERFORM, V16, P349 15677 PAUL S, 2004, INFORM MANAGE-AMSTER, V41, P303 15678 PEARSON AW, 2002, INT J CONFL MANAGE, V13, P110 15679 PERREWE PL, 1995, ASIA PACIFIC J MANAG, V12, P1 15680 PODSAKOFF PM, 1986, J MANAGE, V12, P531 15681 RAHIM MA, 1983, ACAD MANAGE J, V26, P368 15682 RAHIM MF, 2002, INT J CONFL MANAGE, V13, P206 15683 RALSTON DA, 1995, ASIA PACIFIC J MANAG, V12, P1 15684 ROBBINS SP, 2001, ORG BEHAV 15685 SELYE H, 1976, STRESS LIFE 15686 SHU X, 2005, MANAGEMENT WORLD, P105 15687 SIGAL GB, 2000, ADM SCI Q, V45, P802 15688 THOMAS KW, 1976, HDB IND ORG PSYCHOL, P889 15689 TINGTOOMEY S, 1985, COMMUNICATION CULTUR, P71 15690 TINGTOOMEY S, 1991, INT J CONFL MANAGE, V2, P275 15691 TINSLEY CH, 1997, RES NEGOT O, V6, P209 15692 TJOSVOLD D, 2001, J WORLD BUS, V36, P166 15693 TJOSVOLD D, 2002, INT J CONFL MANAGE, V13, P142 15694 TJOSVOLD D, 2006, MANAGEMENT ORG REV, V2, P231 15695 TSE DK, 1994, J INT BUS STUD, V25, P537 15696 VEACH TL, 2003, STRESS HEALTH, V19, P257 15697 WALL JA, 1995, J MANAGE, V21, P515 15698 WANG CCL, 2005, MANAGE INT REV, V45, P3 15699 WEI LQ, 2005, ASIAN BUSINESS MANAG, V4, P227 15700 XIN KR, 2003, LEADERSHIP QUART, V14, P25 15701 NR 74 15702 TC 0 15703 PU EMERALD GROUP PUBLISHING LIMITED 15704 PI BRADFORD 15705 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 15706 SN 1044-4068 15707 J9 INT J CONFL MANAGEMENT 15708 JI Int. J. Confl. Manage. 15709 PY 2007 15710 VL 18 15711 IS 1 15712 BP 74 15713 EP 97 15714 PG 24 15715 SC Communication; Management 15716 GA 193ZM 15717 UT ISI:000248313700004 15718 ER 15719 15720 PT J 15721 AU Shahbazpour, M 15722 Seidel, R 15723 AF Shahbazpour, Mehdi 15724 Seidel, Rainer 15725 TI Strategic manufacturing system and process innovation through 15726 elimination of trade-offs 15727 SO INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 15728 LA English 15729 DT Article 15730 DE innovation; manufacturing performance; trade-off; methodology 15731 ID RESOURCE-BASED VIEW; WORLD-CLASS; MASS CUSTOMIZATION; AGILE; 15732 PERFORMANCE; MANAGEMENT; TOC 15733 AB For many years, there has been a debate among researchers and 15734 practitioners about the notion of trade-o. s and their role in 15735 manufacturing strategy. This paper examines the practical issues 15736 surrounding trade-offers and manufacturing strategy, and offers a 15737 framework for better management of trade-offers. The analysis indicates 15738 that current views on trade-offers are either impractical or static. 15739 The authors propose a consolidated approach in which the focus of 15740 strategic improvement process is divided into short-term and long-term 15741 strategies. It is suggested that in the short term, strategic 15742 initiatives must focus on overcoming ' perceived' trade-offers and 15743 system constraints in order to achieve the firm's Manufacturing 15744 Performance Potential. In the long term, they must focus on eliminating 15745 the 'real' trade-offers and technical constraints of the system in 15746 order to achieve world-class levels of performance. While the current 15747 approaches to trade-offer improvement focus on compromises and/ or 15748 application of current 'best practices', manufacturing system and 15749 process innovation are proposed as the key to the elimination of 15750 trade-offers. Two problem-solving methodologies, Theory of Constraints 15751 and Theory of Inventive Problem Solving, were found to provide useful 15752 tools necessary for system and process innovation. With the aid of a 15753 case study, we demonstrate how these methodologies can be used to 15754 eliminate manufacturing trade-offers, in order to improve a company's 15755 competitiveness. 15756 C1 Univ Auckland, Dept Mech Engn, Auckland 1, New Zealand. 15757 RP Shahbazpour, M, Univ Auckland, Dept Mech Engn, Private Bag 92019, 15758 Auckland 1, New Zealand. 15759 EM msha085@ec.auckland.ac.nz 15760 CR *WORLD COMM ENV DE, 1987, OUR COMM FUT 15761 BESSANT J, 2001, INT J TECHNOL MANAGE, V22, P28 15762 BOYER KK, 2002, PROD OPER MANAG, V11, P9 15763 BROWN S, 2005, J MANAGE STUD, V42, P793 15764 DANGAYACH GS, 2001, INT J OPER PROD MAN, V21, P884 15765 DANGAYACH GS, 2006, OMEGA-INT J MANAGE S, V34, P254 15766 DASILVEIRA G, 2001, INT J OPER PROD MAN, V21, P949 15767 DASILVEIRA G, 2001, INT J PROD ECON, V72, P1 15768 DASILVEIRA GJC, 2005, INT J PROD ECON, V95, P27 15769 DEAN JW, 1996, STRATEGIC MANAGE J, V17, P459 15770 DOMB E, 1998, TRIZ J JUN 15771 DURAY R, 2002, INT J OPER PROD MAN, V22, P314 15772 FERDOWS K, 1990, J OPERATIONS MANAGEM, V9, P168 15773 FILIPPINI R, 1995, P 2 INT EUROMA C U T, P136 15774 FLYNN BB, 1999, J OPER MANAG, V17, P249 15775 GOLDRATT EM, 1986, GOAL PROCESS ONGOING 15776 GORDON JRM, 2005, J STRATEGIC INF SYST, V14, P69 15777 GUNASEKARAN A, 1999, INT J PROD ECON, V62, P87 15778 GUNASEKARAN A, 2002, INT J PROD RES, V40, P1357 15779 HARRISON A, 1998, INT J OPER PROD MAN, V18, P397 15780 HAYES RH, 1994, HARVARD BUS REV, V72, P77 15781 HORMOZI AM, 2001, BENCHMARKING, V8, P132 15782 JONES TC, 1998, BRIT ACCOUNTING REV, V30, P73 15783 KETOKIVI M, 2004, INT J OPER PROD MAN, V24, P171 15784 LEACHMAN C, 2005, INT J OPER PROD MAN, V25, P851 15785 MANN D, 1999, TRIZ J SEP 15786 MANN D, 2002, TRIZ J JAN 15787 MAPES J, 1997, INT J OPER PROD MAN, V17, P1020 15788 NAYLOR JB, 1999, INT J PROD ECON, V62, P107 15789 NEW CC, 1992, INT J OPER PROD MAN, V12, P19 15790 PORTER ME, 1996, HARVARD BUS REV, V74, P61 15791 PRINCE J, 2003, INT J PROD ECON, V85, P305 15792 QIU RG, 2004, IEEE ROBOT AUTOM MAR, P19 15793 SCHMENNER RW, 1998, J OPER MANAG, V17, P97 15794 SCHONBERGER RJ, 1996, WORLD CLASS MANUFACT 15795 SCHROEDER RG, 1996, P 3 INT C EUR OP MAN, P605 15796 SCHROEDER RG, 2002, STRATEGIC MANAGE J, V23, P105 15797 SCOGGIN JM, 2003, INT J PROD RES, V41, P767 15798 SHAHBAZPOUR M, 2006, LCE 2006 13 CIRP INT 15799 SHARIFI H, 2001, INT J OPER PROD MAN, V21, P772 15800 SHEINKOPF LJ, 1999, THINKING CHANGE PUTT 15801 SKINNER W, 1969, HARVARD BUS REV, V47, P139 15802 SKINNER W, 1992, MANUFACTURING STRATE, P15 15803 SLACK N, 1991, MANUFACTURING ADVANT 15804 STRATTON R, 2000, P SOC PHOTO-OPT INS, V4192, P86 15805 STRATTON R, 2003, INT J PROD ECON, V85, P183 15806 STRATTON R, 2003, J MATER PROCESS TECH, V139, P120 15807 UNGVARI SF, 2002, MANUFACTURING HDB BE, P399 15808 VASTAG G, 2000, J OPER MANAG, V18, P353 15809 VOSS C, 1995, BUSINESS STRATEGY RE, V6, P1 15810 ZLOTIN B, 2001, TRIZ J JAN 15811 NR 51 15812 TC 0 15813 PU TAYLOR & FRANCIS LTD 15814 PI ABINGDON 15815 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 15816 SN 0951-192X 15817 J9 INT J COMP INTEG MANU 15818 JI Int. J. Comput. Integr. Manuf. 15819 PY 2007 15820 VL 20 15821 IS 5 15822 BP 413 15823 EP 422 15824 PG 10 15825 SC Computer Science, Interdisciplinary Applications; Engineering, 15826 Manufacturing; Operations Research & Management Science 15827 GA 194GW 15828 UT ISI:000248333700002 15829 ER 15830 15831 PT J 15832 AU Hwang, HC 15833 Choi, BK 15834 AF Hwang, H. C. 15835 Choi, B. K. 15836 TI Workflow-based dynamic scheduling of job shop operations 15837 SO INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 15838 LA English 15839 DT Article 15840 DE workflow simulation; dynamic scheduling; job shop scheduling; enactment 15841 service; WfMS; BPMS 15842 ID SIMULATION; SYSTEM; ARCHITECTURE; ALGORITHMS 15843 AB In a job shop such as a mould-making shop, dispatching decisions as to 15844 which job should be loaded on a machine when it becomes free are termed 15845 dynamic scheduling. A practical approach to dynamic job-shop scheduling 15846 is the use of discrete event simulation, and their dedicated 15847 simulation-based dynamic scheduling systems, often known as 15848 manufacturing execution systems or advanced planning systems, are 15849 available. In the present paper, we propose a workflow-based dynamic 15850 scheduling framework, in which a workflow management system (WfMS) 15851 serves as a dynamic job-shop scheduler. For this purpose, we have 15852 developed an algorithm for embedding a discrete-event simulation 15853 mechanism into a WfMS, and have implemented a prototype job-shop 15854 scheduler. Illustrative performance evaluation shows that the proposed 15855 framework is logically valid and computationally efficient. 15856 C1 Korea Adv Inst Sci & Technol, Dept Ind Engn, VMS Lab, Taejon, South Korea. 15857 RP Choi, BK, Korea Adv Inst Sci & Technol, Dept Ind Engn, VMS Lab, 373-1 15858 Kusong Dong, Taejon, South Korea. 15859 EM bkchoi@vmslab.kaist.ac.kr 15860 CR *WFMC, TC001003 WFMC 15861 AALST WMP, 1998, J CIRCUIT SYST COMP, V8, P121 15862 ALVAREZ E, 2004, ROBOT CIM-INT MANUF, V20, P485 15863 APRIL J, 2005, MANUEL LAGUNA OPTEK 15864 BAE JS, 1999, COMPUT IND ENG, V37, P203 15865 BAKER AD, 1998, J MANUF SYST, V17, P297 15866 BAKER K, 1974, INTRO SEQUENCING SCH 15867 CHOI BK, 1995, P IFIP WG 5 7 C MAN, P105 15868 CHOI BK, 2002, INT J COMP INTEG M, V15, P274 15869 CHOI BK, 2005, KIIE 2005 FALL C 200 15870 CHOI BK, 2006, INT J COMPUT INTEG M, V19, P383 15871 DELPHI BPM, 2003, MARKET MILESTONE REP 15872 FUJIMOTO RM, PARALLEL DISTRIBUTED 15873 GIAGLIS GM, BUSINESS PROCESS MOD, P313 15874 HONG KJ, 1999, SIMUL SERIES, V31, P113 15875 JEONG KY, 2000, EXPERT SYST APPL, V18, P299 15876 KIM YD, 1995, COMPUT OPER RES, V22, P307 15877 RANGSARITRATSAMEE R, 2004, COMPUT IND ENG, V46, P1 15878 SABUNCUOGLU I, 1992, INT J PROD RES, V30, P1059 15879 SENKUL P, 2005, INFORM SYST, V30, P399 15880 SINGH MP, 1995, P INT WORKSH DAT PRO 15881 VOLKNER P, 2002, FUZZY SET SYST, V125, P275 15882 YEH CH, 1997, COMPUT OPER RES, V24, P193 15883 YING CC, 1994, P 1994 WINT SIM C, P1008 15884 ZEIGLER B, 2000, THEROY MODELING SIMU 15885 NR 25 15886 TC 0 15887 PU TAYLOR & FRANCIS LTD 15888 PI ABINGDON 15889 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 15890 SN 0951-192X 15891 J9 INT J COMP INTEG MANU 15892 JI Int. J. Comput. Integr. Manuf. 15893 PY 2007 15894 VL 20 15895 IS 6 15896 BP 557 15897 EP 566 15898 PG 10 15899 SC Computer Science, Interdisciplinary Applications; Engineering, 15900 Manufacturing; Operations Research & Management Science 15901 GA 194GZ 15902 UT ISI:000248334000005 15903 ER 15904 15905 PT J 15906 AU Agarwal, R 15907 Tiwari, MK 15908 Mukherjee, SK 15909 AF Agarwal, Rina 15910 Tiwari, M. K. 15911 Mukherjee, S. K. 15912 TI Artificial immune system based approach for solving resource constraint 15913 project scheduling problem 15914 SO INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 15915 LA English 15916 DT Article 15917 DE project scheduling; precedence constraint; resource constraint; 15918 artificial immune system; hypermutation 15919 ID ADAPTIVE SEARCH; ALGORITHM 15920 AB In this paper, resource-constrained project scheduling problem (RCPSP) 15921 is discussed with an objective of minimizing the makespan of a project. 15922 Due to its universality, it has a variety of applications as in 15923 manufacturing, production planning, project management and elsewhere. 15924 It is a well known computationally complex problem, thus warrants the 15925 application of heuristics techniques or AI based optimization tools to 15926 achieve optimal or near optimal solution in real time. In this 15927 research, the artificial immune system (AIS) approach is proposed to 15928 solve the aforementioned problem. It exploits the beauty of learning 15929 and memory acquisition to ensure the convergence with faster rate. 15930 During extensive computational experiment, it is found that the 15931 performance of the AIS algorithm on a well known data set of 15932 resource-constrained project scheduling problem is superior as compared 15933 to GA, fuzzy-GA, LFT, GRU, SIO, MINSLK, RSM, RAN, and MJP based 15934 approaches. 15935 C1 Natl Inst Foundry & ForgeTechnol, Dept ForgeTechnol, Ranchi 834003, Bihar, India. 15936 Biral Inst Technol, Ranchi 835215, Bihar, India. 15937 RP Tiwari, MK, Natl Inst Foundry & ForgeTechnol, Dept ForgeTechnol, Ranchi 15938 834003, Bihar, India. 15939 EM mkt09@hotmail.com 15940 CR ANDERSON EJ, 1994, ORSA J COMPUTING, V6, P161 15941 BAAR T, 1999, META HEURISTICS ADV, P1 15942 BOCTOR FF, 1993, INT J PROD RES, V31, P2547 15943 BOULEIMEN K, 1998, NEW EFFICIENT SIMULA 15944 CHANG YL, 1989, INT J PROD RES, V27, P1949 15945 DAVIS EW, 1966, J IND ENG, V17, P177 15946 DECASTRO LN, 2002, IEEE T EVOLUT COMPUT, V6, P239 15947 DEMEULEMEESTER EL, 1996, EUR J OPER RES, V89, P355 15948 DEREYCK B, 1995, 9505 KATH U LEUV BEL 15949 DREXL A, 1997, EUR J OPER RES, V102, P193 15950 HARTMANN S, 1998, NAV RES LOG, V45, P733 15951 HERROELEN W, 1998, COMPUT OPER RES, V25, P279 15952 KHOO LP, 2003, INT J PROD RES, V41, P3419 15953 KIM NS, 2002, P 12 INT OFFSH POL E, V3, P188 15954 KOLISCH R, 1996, EUR J OPER RES, V90, P320 15955 KOLISCH R, 1996, NAV RES LOG, V43, P23 15956 LEON VJ, 1995, OR SPEKTRUM, V17, P173 15957 OZDAMAR L, 1995, IIE TRANS, V27, P574 15958 SCHIRMER A, 2000, NAV RES LOG, V47, P201 15959 SCHRAGE L, 1970, OPER RES, V18, P263 15960 SPRECHER A, 1994, LECT NOTES EC MATH S, V409 15961 SPRECHER A, 1999, INT J PROD RES, V37, P1787 15962 NR 22 15963 TC 0 15964 PU SPRINGER LONDON LTD 15965 PI ARTINGTON 15966 PA ASHBOURNE HOUSE, THE GUILDWAY, OLD PORTSMOUTH ROAD, ARTINGTON GU3 1LP, 15967 GUILDFORD, ENGLAND 15968 SN 0268-3768 15969 J9 INT J ADV MANUF TECHNOL 15970 JI Int. J. Adv. Manuf. Technol. 15971 PD SEP 15972 PY 2007 15973 VL 34 15974 IS 5-6 15975 BP 584 15976 EP 593 15977 PG 10 15978 SC Automation & Control Systems; Engineering, Manufacturing 15979 GA 203OL 15980 UT ISI:000248983800018 15981 ER 15982 15983 PT J 15984 AU Rodriguez-Ponce, E 15985 AF Rodriguez-Ponce, Emilio 15986 TI Leadership styles, strategic decision making and performance: An 15987 empirical study in small and medium-size firms 15988 SO INTERCIENCIA 15989 LA Spanish 15990 DT Article 15991 DE decisiones; estrateicas; eficacia; estilos de liderazgo 15992 ID TRANSFORMATIONAL LEADERSHIP; MANAGEMENT; CONTEXT; ENVIRONMENT; 15993 EXPERIENCE; CONFLICT; TEAMS 15994 AB The objective of this article is to identify the relationship between 15995 transformational and transactional leadership style, strategic decision 15996 making and organization performance. A field work was developed on 93 15997 small and medium-size enterprises. The collected data was analyzed by 15998 econometrical and statistical techniques, and then the results, 15999 implications and boundaries are discussed. The results show that there 16000 are a positive and significance relationship between the quality design 16001 of strategic decision and organizational performance. Thus, the 16002 comprehensiveness and politicization are relevant for to explain the 16003 quality design of strategic decision. Moreover, the comprehensiveness 16004 and politicization was explained by flexibility of the decision process 16005 and the values congruence of the top management team. The 16006 transformational leadership is the principal determinant of the 16007 flexibility and values congruence. Therefore, is possible to identify a 16008 relationship between transformational leadership and organizational 16009 performance. Nevertheless, the transactional leadership has not 16010 statistical relevance on strategic decision making 16011 C1 Univ Tarapaca, Arica, Chile. 16012 Univ Complutense Madrid, E-28040 Madrid, Spain. 16013 RP Rodriguez-Ponce, E, Univ Tarapaca, Casilla 7-D, Arica, Chile. 16014 EM erodrigu@uta.cl 16015 CR AMASON AC, 1996, ACAD MANAGE J, V39, P123 16016 AVOLIO BJ, 1995, LEADERSHIP QUART, V6, P199 16017 BASS BM, 1990, ORGAN DYN, V18, P19 16018 BASS BM, 1999, EUROPEAN J WORK ORG, V8, P9 16019 BOURANTAS D, 1996, INT STUDIES MANAGEME, V26, P13 16020 BYERS T, 2001, J LEISURE RES, V3, P121 16021 CHAKRAVARTHY BS, 1992, STRATEGIC MANAGE J, V13, P5 16022 CHEN MJ, 1995, ACAD MANAGE J, V18, P253 16023 DEAN JW, 1993, J MANAGE STUD, V30, P587 16024 DEAN JW, 1996, ACAD MANAGE J, V39, P368 16025 DEAN TJ, 1998, STRATEGIC MANAGE J, V19, P709 16026 EISENHARDT KM, 1989, ACAD MANAGE J, V32, P543 16027 EISENHARDT KM, 1992, STRATEGIC MANAGE J, V13, P17 16028 EVKALL G, 1997, CREAT INNOV MANAG, V7, P126 16029 GANDZ J, 1980, ACAD MANAGE J, V23, P237 16030 GOLL I, 1997, STRATEGIC MANAGE J, V18, P583 16031 HALEBLIAN J, 1993, ACAD MANAGE J, V36, P844 16032 HAMBRICK DC, 1984, ACAD MANAGE REV, V9, P193 16033 HART S, 1994, STRATEGIC MANAGE J, V15, P251 16034 HOLLENBECK JR, 1998, ACAD MANAGE J, V41, P269 16035 JEHN KA, 1995, ADMIN SCI QUART, V40, P256 16036 KAHAI SS, 1997, PERS PSYCHOL, V50, P121 16037 KETCHEN DJ, 1996, J MANAGE, V22, P231 16038 MATLAY H, 1999, EMPLOYEE RELATIONS, V21, P285 16039 OGBONNA E, 2000, INT J HUM RESOUR MAN, V11, P766 16040 PAPADAKIS VM, 1998, STRATEGIC MANAGE J, V19, P115 16041 PARK D, 2006, WOMEN MANAGEMENT REV, V11, P13 16042 PEDRAJA L, 2004, REV FAC ING U TARACA, V12, P63 16043 PEDRAJAREJAS L, 2006, INGENIARE REV CHIL I, V14, P159 16044 PEDRAJAREJAS L, 2006, INTERCIENCIA, V31, P500 16045 PEDRAJAREJAS L, 2006, INTERCIENCIA, V31, P570 16046 PEDRAJAREJAS L, 2006, INTERCIENCIA, V31, P577 16047 RAHMAN SU, 2001, TOTAL QUAL MANAGE, V12, P201 16048 RAJAGOPALAN N, 1993, J MANAGE, V19, P349 16049 RODRIGUEZPONCE E, 2005, DECISIONES ESTRATEGI 16050 SCHWENK CR, 1995, J MANAGE, V21, P471 16051 SHARFMAN MP, 1997, J MANAGE STUD, V34, P191 16052 VROOM VH, 2000, ORGAN DYN, V28, P82 16053 NR 38 16054 TC 0 16055 PU INTERCIENCIA 16056 PI CARACAS 16057 PA APARTADO 51842, CARACAS 1050A, VENEZUELA 16058 SN 0378-1844 16059 J9 INTERCIENCIA 16060 JI Interciencia 16061 PD AUG 16062 PY 2007 16063 VL 32 16064 IS 8 16065 BP 522 16066 EP 528 16067 PG 7 16068 SC Multidisciplinary Sciences 16069 GA 206RF 16070 UT ISI:000249199900005 16071 ER 16072 16073 PT J 16074 AU Kimball, EJ 16075 Mone, MC 16076 Wolfe, TR 16077 Baraghoshi, GK 16078 Alder, SC 16079 AF Kimball, Edward J. 16080 Mone, Mary C. 16081 Wolfe, Timothy R. 16082 Baraghoshi, Gabriele K. 16083 Alder, Stephen C. 16084 TI Reproducibility of bladder pressure measurements in critically ill 16085 patients 16086 SO INTENSIVE CARE MEDICINE 16087 LA English 16088 DT Article 16089 DE intra-abdominal pressure; intra-abdominal hypertension; bladder 16090 pressure measurement; bladder pressure monitoring; intraobserver 16091 variability; interobserver variability 16092 ID INTRAABDOMINAL PRESSURE; AGREEMENT; TIME 16093 AB Objective: Intra-abdominal hypertension is an independent cause of 16094 multiorgan failure and directly effects other physiological 16095 measurements, making it an important factor in the management of 16096 critically ill patients, but no clinical studies have investigated the 16097 reproducibility of intra-abdominal pressure (IAP) measurement to ensure 16098 diagnostic accuracy. This study evaluated the intraobserver and 16099 interobserver variability of bladder pressure measurements. 16100 Design and setting: Prospective, observational study in a 16101 university-based adult surgical intensive care unit. 16102 Patients: Critically ill patients undergoing intra-abdominal pressure 16103 readings, measured by nursing staff. 16104 Measurements and results: The study compared patient IAP measurements 16105 obtained by the same nurse (intraobserver variation) and between two 16106 different nurses (interobserver variation) in critical care patients 16107 with clinical indications for IAP monitoring. Data related to the 16108 nursing technique and performance were observed and collected for each 16109 IAP measurement obtained. Good correlation of bladder pressure 16110 measurements between the same and different individuals was found. 16111 Intraobserver and interobserver Pearson's correlations for measured IAP 16112 were 0.934 and 0.950, respectively. A unit protocol for IAP measurement 16113 standardization was modified based on observational data collected. 16114 Conclusions: Intra-abdominal pressure can be accurately and reliably 16115 measured in critically ill patients by utilizing a standardized 16116 measurement device combined with a standardized clinical protocol. 16117 C1 Univ Utah, Sch Med, Dept Surg, Salt Lake City, UT 84132 USA. 16118 Univ Utah, Sch Med, Dept Family & Prevent Med, Salt Lake City, UT 84132 USA. 16119 RP Kimball, EJ, Univ Utah, Sch Med, Dept Surg, 30 N 1900 E, Salt Lake 16120 City, UT 84132 USA. 16121 EM edward.kimball@hsc.utah.edu 16122 CR BLAND JM, 1986, LANCET, V1, P307 16123 DEPOTTER TJR, 2005, INTENS CARE MED, V31, P747 16124 DROVIC GO, 2002, HEMODYNAMIC MONITORI, P113 16125 MALBRAIN MLNG, 2004, INTENS CARE MED, V30, P357 16126 PETERS K, 2005, ANZ J SURG, V75, A10 16127 RIZVI K, 2005, CRIT CARE MED, V33, P98 16128 SUGRUE M, 2002, INTENS CARE MED, V28, P389 16129 SUGRUE M, 2005, CURR OPIN CRIT CARE, V11, P333 16130 WOLFE TR, 2005, ANZ J SURG, V75, A1 16131 ZAR JH, 1999, BIOSTATISTICAL ANAL 16132 NR 10 16133 TC 0 16134 PU SPRINGER 16135 PI NEW YORK 16136 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 16137 SN 0342-4642 16138 J9 INTENS CARE MED 16139 JI Intensive Care Med. 16140 PD JUL 16141 PY 2007 16142 VL 33 16143 IS 7 16144 BP 1195 16145 EP 1198 16146 PG 4 16147 SC Critical Care Medicine 16148 GA 189PW 16149 UT ISI:000248002000016 16150 ER 16151 16152 PT J 16153 AU Dass, G 16154 AF Dass, Gopal 16155 TI Production performance and management practices of Pugal sheep in the 16156 home tract 16157 SO INDIAN JOURNAL OF ANIMAL SCIENCES 16158 LA English 16159 DT Article 16160 DE body measurements; body weights; pugal; reproduction; sheep; wool 16161 quality; wool yield 16162 AB A survey was conducted to study the performance and husbandry practices 16163 of Pugal sheep in its home tract. Data were recorded on management 16164 practices, body measurements, body weights, wool production and 16165 reproduction. Results indicated that animals were maintained under 16166 extensive management with at least 10 h grazing daily. Breeding rams 16167 were selected without giving due consideration to breed; and breeding 16168 and lambing took place throughout the year. Three-times shearing in a 16169 year, vaccination and routine treatment were also practised. The 16170 overall least squares means of body measurements of adults, viz. body 16171 length, height, chest girth, ear length and tail length were 61.59 +/- 16172 0.31, 61.76 +/- 0.17, 71.83 +/- 0.20, 9.48 +/- 0.11 and 17.70 +/- 0.22 16173 cm, respectively. Body weights at birth, 3, 6, 12 months and adult 16174 weights were 2.62 +/- 0.01, 17.70 +/- 0.05, 23.67 +/- 0.09, 29.62 +/- 16175 0.26 and 39.04 +/- 0.26 kg, respectively. Least squares means for 16176 greasy fleece weights in first, second, third and total annual clips 16177 were 558, 513, 549 and 1618 g, respectively. Body weights and greasy 16178 fleece weights differed significantly (P < 0.01) in the two sexes, 16179 males gained higher weights at all stages and produced heavier fleece 16180 in all the clips. The body weights of this breed were found quite 16181 comparable with Magra breed, which had the same breeding tract. Wool 16182 quality parameters indicated the suitability of wool for medium quality 16183 carpet manufacture. Age at first oestrus, age at first lambing, lambing 16184 percentage and lambing interval were 10.15 +/- 0.05 months, 15.47 16185 +/-.07 months, 98.12 +/- 4.25% and 283.13 +/- 0.95 days, respectively. 16186 C1 Cent Sheep & Wool Res Inst, Bikaner 334006, Rajasthan, India. 16187 RP Dass, G, CIRG, Makhdoom, Mathura, India. 16188 CR *CSWRI, 2001, 200102 CENTR SHEEP W 16189 ACHARYA RM, 1982, 30 FAO UN 16190 ARORA CL, 1998, TXB SHEEP PRODUCTION 16191 BOTHRA KC, 1998, P GOLD JUB SEM SHEEP, P118 16192 DASS G, 1998, P GOLD JUBL SHEEP GO, P18 16193 DASS G, 2003, INDIAN J SMALL RUMIN, V9, P10 16194 HARVEY WR, 1990, USERS GUIDE LSMLMWPC 16195 MEHTA SC, 2003, INDIAN J ANIM SCI, V73, P1147 16196 SINGH RN, 1998, P GOLD JUB SEM SHEEP, P2 16197 SINGH VK, 2005, INDIAN J ANIM SCI, V75, P356 16198 NR 10 16199 TC 0 16200 PU INDIAN COUNC AGRICULTURAL RES 16201 PI NEW DELHI 16202 PA ICAR BHAWAN PUSA, NEW DELHI 110 012, INDIA 16203 SN 0367-8318 16204 J9 INDIAN J ANIM SCI 16205 JI Indian J. Anim. Sci. 16206 PD AUG 16207 PY 2007 16208 VL 77 16209 IS 8 16210 BP 763 16211 EP 766 16212 PG 4 16213 SC Agriculture, Dairy & Animal Science 16214 GA 202XI 16215 UT ISI:000248937400030 16216 ER 16217 16218 PT J 16219 AU Ohzahata, S 16220 Kimura, S 16221 Ebihara, Y 16222 Kawashima, K 16223 AF Ohzahata, Satoshi 16224 Kimura, Shigetomo 16225 Ebihara, Yoshihiko 16226 Kawashima, Konosuke 16227 TI A cross-layer retransmission control for improving TCP performance in 16228 wireless LAN 16229 SO IEICE TRANSACTIONS ON COMMUNICATIONS 16230 LA English 16231 DT Article 16232 DE wireless TCP; cross-layer; queue management; retransmission control; 16233 IEEE 802.11 16234 ID NETWORKS 16235 AB In this paper we propose a cross-layer retransmission control for TCP 16236 communication over a wireless link. With our proposed control, a 16237 retransmission delay for lost packet is reduced, packet losses in the 16238 wireless link are eliminated and all packets are delivered in the 16239 correct order. No change is required to TCP itself or to the sender. 16240 Our proposed method is implemented in a queue between the media access 16241 control (MAC) layer and logical link layer in a base station, and is 16242 designed to assist local retransmission control in the MAC layer. 16243 Computer simulations show that our proposed method can maximally use 16244 the bandwidth of the wireless link under high bit error rates 16245 conditions with conventional TCP control. The fairness problem of TCP 16246 communication between connections with different bit error rates in a 16247 wireless link is also improved, and MAC level fairness is also 16248 controllable. 16249 C1 Tokyo Univ Agr & Technol, Div Syst & Informat Sci, Koganei, Tokyo 1848588, Japan. 16250 Univ Tsukuba, Inst Informat Sci & Elect, Tsukuba, Ibaraki 3058573, Japan. 16251 RP Ohzahata, S, Tokyo Univ Agr & Technol, Div Syst & Informat Sci, 16252 Koganei, Tokyo 1848588, Japan. 16253 EM ohzahata@cc.tuat.ac.jp 16254 CR *IEEE STD, 2005, 80211E2005 IEEE STD 16255 BALAKRISHNAN H, 1995, ACM WIRELESS NETWORK, V1, P469 16256 BALAKRISHNAN H, 1998, P IEEE GLOBECOM 98 16257 BARMAN D, 2002, P 10 IEEE INT C NETW, P2 16258 BRAKMO LS, 1994, P ACM SIGCOMM 94 OCT, P24 16259 CASETTI C, 2002, WIREL NETW, V8, P467 16260 CHRUNGOO A, 2001, P IEEE GLOB 02, P1713 16261 CROWELL JA, 1997, FUND APPL TOXICOL, V35, P9 16262 DING W, 2001, P IEEE GLOB 01, P3483 16263 FLOYD S, 1999, RFC2582 16264 FU CP, 2003, IEEE J SEL AREA COMM, V21, P216 16265 GOFF T, 2000, P IEEE INFOCOM 2000, P1537 16266 JAIN RK, 1984, TR301 DEC 16267 MATHIS M, 1996, RFC2018 16268 OHZAHATA S, 2004, P IEEE WCNC 04, P1069 16269 PARSA C, 2000, MOBILE NETW APPL, V5, P57 16270 SHREEDHAR M, 1995, P ACM SIGCOMM 95, P231 16271 SINHA P, 1999, P 5 ANN ACM IEEE INT, P231 16272 NR 18 16273 TC 0 16274 PU IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG 16275 PI TOKYO 16276 PA KIKAI-SHINKO-KAIKAN BLDG MINATO-KU SHIBAKOEN 3 CHOME, TOKYO, 105, JAPAN 16277 SN 0916-8516 16278 J9 IEICE TRANS COMMUN 16279 JI IEICE Trans. Commun. 16280 PD AUG 16281 PY 2007 16282 VL E90B 16283 IS 8 16284 BP 2070 16285 EP 2080 16286 PG 11 16287 SC Engineering, Electrical & Electronic; Telecommunications 16288 GA 202WB 16289 UT ISI:000248933700021 16290 ER 16291 16292 PT J 16293 AU Fukui, S 16294 Asano, T 16295 AF Fukui, Shinta 16296 Asano, Toshiaki 16297 TI Application of information system technologies to power control centers 16298 in a liberalized environment 16299 SO IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 16300 LA English 16301 DT Article 16302 DE information system; liberalization; control center; web computing; 16303 cyber security 16304 ID ARCHITECTURE 16305 AB This paper describes the new control centers that are incorporated with 16306 information system technologies to handle precise security margins on a 16307 wide level and secure information exchange between system operators and 16308 other actors emerging in the liberalized electric power supply 16309 environment in progress. To further realize the system stress analysis 16310 by high-speed processing, symmetric multi processor (SMP) servers are 16311 adopted through cost-effective performance from the standpoint of 16312 investment protection. The performance improvements and observations 16313 are shown with processing time measurements according to the 16314 peculiarity of the power system analysis software packages embedded in 16315 the client-server-based energy management system (EMS). To cope with 16316 malicious intrusions into the cyber space through data links with 16317 outside information systems, an information exchange method using tough 16318 Internet protocol (IP) separation between information system and 16319 control system portions is also presented using a practical example, 16320 with cyber security strictly maintained among the other internal 16321 information systems in an electric power utility. (c) 2006 Institute of 16322 Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 16323 C1 Mitsubishi Electr Corp, Transmiss & Distribut Syst Ctr, Chiyoda Ku, Tokyo 1008310, Japan. 16324 Toshiba Co Ltd, Fuchu Complex Power Control Comp Syst Dept, Fuchu, Tokyo 1838511, Japan. 16325 RP Fukui, S, Mitsubishi Electr Corp, Transmiss & Distribut Syst Ctr, 16326 Chiyoda Ku, 2-7-3 Marunouchi, Tokyo 1008310, Japan. 16327 EM Fukui.Shinta@dr.MitsubishiElectric.co.jp 16328 CR *CIGR WORK GROUP, 2004, C201 CIGR WORK GROUP 16329 *STAND PERF EV COR, SPECS BENCHM PUBL RE 16330 AZEVEDO GP, 2001, IEEE COMPUT APPL POW, V14, P27 16331 EBATA Y, 2000, IEEE PES WINT M 2000, V3, P1656 16332 HIRSCH P, 1999, IEEE COMPUT APPL POW, V12, P26 16333 KAWATA K, 2002, IEEE PES T D C EXH 2, V1, P37 16334 LI F, 2003, IEEE POWER ENERGY M, V1, P53 16335 NR 7 16336 TC 0 16337 PU JOHN WILEY & SONS INC 16338 PI HOBOKEN 16339 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 16340 SN 1931-4973 16341 J9 IEEEJ TRANS ELECTR ELECTRON E 16342 JI IEEJ Trans. Electr. Electron. Eng. 16343 PD SEP 16344 PY 2006 16345 VL 1 16346 IS 3 16347 BP 337 16348 EP 344 16349 PG 8 16350 GA 190EN 16351 UT ISI:000248040900017 16352 ER 16353 16354 PT J 16355 AU Celebi, H 16356 Arslan, H 16357 AF Celebi, Hasari 16358 Arslan, Huseyin 16359 TI Utilization of location information in cognitive wireless networks 16360 SO IEEE WIRELESS COMMUNICATIONS 16361 LA English 16362 DT Article 16363 AB Location awareness is an essential characteristic of cognitive radios 16364 as well as networks. In this article a location awareness engine 16365 architecture is proposed for the realization of location awareness in 16366 cognitive radios and networks. The proposed architecture consists of 16367 location estimation and/or sensing, seamless positioning and inte rope 16368 rability, statistical learning and tracking, security and privacy, 16369 mobility management, and location-based applications. However, the 16370 focus of this article is on location-based applications where we 16371 demonstrate the utilization of location information in cognitive 16372 wireless networks by presenting some representative location-assisted 16373 network optimization applications such as location-assisted spectrum 16374 management, network planning and expansion, and handover. Our study 16375 unveils that location information can be used in cognitive wireless 16376 networks to optimize network performance. Possible solutions to the 16377 implementation issues are proposed, and the remaining open issues are 16378 also addressed. 16379 C1 Univ S Florida, Tampa, FL 33620 USA. 16380 RP Celebi, H, Univ S Florida, Tampa, FL 33620 USA. 16381 CR ARSLAN H, 2007, COGNITIVE RADIO SOFT 16382 BRUNATO M, 2005, COMPUT NETW, V47, P825 16383 CAPKUN S, 2006, IEEE J SEL AREA COMM, V24, P221 16384 FUJII T, 2005, P IEEE INT S NEW FRO, P589 16385 HAYKIN S, 2005, 1 IEEE INT WKSP COMP, P1 16386 LIN HP, 2005, IEEE T MOBILE COMPUT, V4, P530 16387 MARCUS MJ, 2005, RECLAIMING VAST WEST 16388 NAGEL HH, 2004, AI MAG, V25, P31 16389 ZEIMPEKIS V, 2003, ACM SIGECOM EXCHANGE, V3, P19 16390 ZHENG H, 2005, P IEEE ICC 2005 MAY, V5, P3132 16391 NR 10 16392 TC 0 16393 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 16394 PI PISCATAWAY 16395 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 16396 SN 1536-1284 16397 J9 IEEE WIREL COMMUN 16398 JI IEEE Wirel. Commun. 16399 PD AUG 16400 PY 2007 16401 VL 14 16402 IS 4 16403 BP 6 16404 EP 13 16405 PG 8 16406 SC Computer Science, Hardware & Architecture; Computer Science, 16407 Information Systems; Engineering, Electrical & Electronic; 16408 Telecommunications 16409 GA 201KA 16410 UT ISI:000248828800003 16411 ER 16412 16413 PT J 16414 AU Tharmarasa, R 16415 Kirubarajan, T 16416 Hernandez, ML 16417 AF Tharmarasa, Ratnasingharn 16418 Kirubarajan, Thiagalingarn 16419 Hernandez, Marcel L. 16420 TI Large-scale optimal sensor array management for multitarget tracking 16421 SO IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS 16422 AND REVIEWS 16423 LA English 16424 DT Article 16425 DE convex optimization; local search; multisensor; fusion; multitarget 16426 tracking; particle filter; posterior Cramer-Rao; lower bound (PCRLB); 16427 sensor resource management; sensor selection 16428 ID CRAMER-RAO BOUNDS; DEPLOYMENT; PLACEMENT 16429 AB In this paper, we are concerned with the problem of utilizing a large 16430 network of sensors in order to track multiple targets. Large-scale 16431 sensor array management has applications in a number of target tracking 16432 domains. For example, in ground target tracking, hundreds or even 16433 thousands of unattended ground sensors may be dropped over a large 16434 surveillance area. At any one time, it may then only be possible to 16435 utilize a very small number of the available sensors at the fusion 16436 center because of physical limitations, such as available 16437 communications bandwidth. A similar situation may arise in tracking 16438 sea-surface or underwater targets using a large network of sonobuoys. 16439 The general problem is then to select a small subset of the available 16440 sensors in order to optimize tracking performance. In a practical 16441 scenario with hundreds of sensors, the number of possible sensor 16442 combinations would make it infeasible to use enumeration in order to 16443 find the optimal solution. Motivated by this consideration, in this 16444 paper we use an efficient search technique in order, to determine 16445 near-optimal sensor utilization strategies in real-time. This search 16446 technique consists of convex optimization followed by greedy local 16447 search. We consider several problem formulations and the posterior 16448 Cramer-Rao lower bound is used as the basis for network management. 16449 Simulation results illustrate the performance of the algorithms, both 16450 in terms of their real-time capability and the resulting estimation 16451 accuracy. Furthermore, in comparisons it can also be seen that the 16452 proposed solutions are near-optimal. 16453 C1 McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada. 16454 QinetiQ Ltd, Malvern Technol Ctr, Malvern WR14 3PS, Worcs, England. 16455 RP Tharmarasa, R, McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 16456 4K1, Canada. 16457 EM tharman@grads.ece.mcmaster.ca 16458 kiruba@mcmaster.ca 16459 marcel@signal.QinetiQ.com 16460 CR AARTS E, 1997, LOCAL SEARCH COMBINA 16461 ABEL JS, 1990, P IEEE INT C AC SPEE, V5, P2927 16462 ARULAMPALAM MS, 2002, IEEE T SIGNAL PROCES, V50, P173 16463 BARSHALOM Y, 1995, MULTITARGET MULTISEN 16464 BARSHALOM Y, 2001, ESTIMATION APPL TRAC 16465 BOYD S, 2003, CONVEX OPTIMIZATION 16466 GORDON NJ, 1993, IEE PROC-F, V140, P107 16467 HAWKES M, 1999, IEEE J OCEANIC ENG, V24, P33 16468 HERNANDEZ ML, 2002, P 5 INT C INF FUS, V1, P18 16469 HERNANDEZ ML, 2004, IEEE T AERO ELEC SYS, V40, P399 16470 HOFFMAN KL, 2000, J COMPUT APPL MATH, V124, P341 16471 HORN RA, 1985, MATRIX ANAL 16472 HUE C, 2002, P 5 INT C INF FUS AN, V1, P464 16473 HURINK J, 1999, SOLVING COMPLEX OPTI 16474 JOHANSSON K, 1997, P HYDROAK STOCKH SWE 16475 KRISHNAMURTHY V, 2002, IEEE T SIGNAL PROCES, V50, P1382 16476 PAO LY, 1997, CASITR9810 U COL COL 16477 PAPADIMITRIOU CH, COMBINATORIAL OPTIMI 16478 PRESS W, 1992, NUMERICAL RECIPES 16479 PUNITHAKUMAR K, 2006, IEEE T AERO ELEC SYS, V42, P1474 16480 RESENDE MGC, 2002, TD5E4QKA AT AND T LA 16481 RISTIC B, 2001, P 4 INT C INF FUS MO 16482 SPELLUCCI P, 1998, MATH PROGRAM, V82, P413 16483 TICHAVSKY P, 1995, IEEE T SIGNAL PROCES, V43, P1299 16484 TICHAVSKY P, 1998, IEEE T SIGNAL PROCES, V46, P1386 16485 VANHEEGHE P, 2001, P IEEE C DEC CONTR O, V5, P4439 16486 VANTREES H, 1968, DETECTION ESTIMATION, V1 16487 ZHANG H, 1995, IEEE T SYST MAN CYB, V25, P781 16488 NR 28 16489 TC 0 16490 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 16491 PI PISCATAWAY 16492 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 16493 SN 1094-6977 16494 J9 IEEE TRANS SYST MAN CYBERN C 16495 JI IEEE Trans. Syst. Man Cybern. Part C-Appl. Rev. 16496 PD SEP 16497 PY 2007 16498 VL 37 16499 IS 5 16500 BP 803 16501 EP 814 16502 PG 12 16503 SC Computer Science, Artificial Intelligence; Computer Science, 16504 Cybernetics; Computer Science, Interdisciplinary Applications 16505 GA 204DL 16506 UT ISI:000249023700006 16507 ER 16508 16509 PT J 16510 AU Li, XL 16511 Parashar, M 16512 AF Li, Xiaolin 16513 Parashar, Manish 16514 TI Hybrid runtime management of space-time heterogeneity for parallel 16515 structured adaptive applications 16516 SO IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 16517 LA English 16518 DT Article 16519 DE parallel computing; structured adaptive mesh refinement; dynamic load 16520 balancing; hierarchical multipartitioner; high-performance computing 16521 ID MESH REFINEMENT; SELECTION METHOD; POINT; SAMR 16522 AB Structured adaptive mesh refinement (SAMR) techniques provide an 16523 effective means for dynamically concentrating computational effort and 16524 resources to appropriate regions in the application domain. However, 16525 due to their dynamism and space-time heterogeneity, scalable parallel 16526 implementation of SAMR applications remains a challenge. This paper 16527 investigates hybrid runtime management strategies and presents an 16528 adaptive hierarchical multipartitioner (AHMP) framework. AHMP 16529 dynamically applies multiple partitioners to different regions of the 16530 domain, in a hierarchical manner, to match the local requirements of 16531 the regions. Key components of the AHMP framework include a 16532 segmentation-based clustering algorithm (SBC) that can efficiently 16533 identify regions in the domain with relatively homogeneous partitioning 16534 requirements, mechanisms for characterizing the partitioning 16535 requirements of these regions, and a runtime system for selecting, 16536 configuring, and applying the most appropriate partitioner to each 16537 region. Further, to address dynamic resource situations for 16538 long-running applications, AHMP provides a hybrid partitioning strategy 16539 (HPS) that involves application-level pipelining, trading space for 16540 time when resources are sufficiently large and underutilized, and an 16541 application-level out-of-core strategy (ALOC), trading time for space 16542 when resources are scarce in order to enhance the survivability of 16543 applications. The AHMP framework has been implemented and 16544 experimentally evaluated on up to 1,280 processors of the IBM SP4 16545 cluster at the San Diego Supercomputer Center. 16546 C1 Oklahoma State Univ, Dept Comp Sci, Stillwater, OK 74078 USA. 16547 Rutgers State Univ, Dept Elect & Comp Engn, Piscataway, NJ 08854 USA. 16548 RP Li, XL, Oklahoma State Univ, Dept Comp Sci, Stillwater, OK 74078 USA. 16549 EM xiaolin@cs.okstate.edu 16550 parashar@caip.rutgers.edu 16551 CR BERGER M, 1991, IEEE T SYST MAN CYB, V21, P1278 16552 BERGER MJ, 1984, J COMPUT PHYS, V53, P484 16553 BERGER MJ, 1989, J COMPUT PHYS, V82, P64 16554 CALDER A, 2000, P ACM IEEE C SUP 16555 CHANDRA S, 2004, TR275 RUTG U 16556 CRANDALL PE, 1995, CONCURRENCY-PRACT EX, V7, P479 16557 CUMMINGS J, 2002, J SUPERCOMPUT, V23, P39 16558 DAS SK, 2001, IEEE T PARALL DISTR, V12, P1269 16559 DEVINE K, 2002, COMPUT SCI ENG, V4, P90 16560 GONZALEZ RC, 2002, DIGITAL IMAGE PROCES 16561 HAWLEY SH, 2000, PHYS REV D, V62 16562 HENNESSY JL, 2002, QUANTITATIVE APPROAC 16563 HORNUNG RD, 2002, CONCURR COMP-PRACT E, V14, P347 16564 KALE LV, 2007, CHARM 16565 KARYPIS G, 2003, PARMETIS 16566 LAN Z, 2001, P 13 IASTED INT C PA 16567 LAN Z, 2002, J SCI PROGRAMMING, V10, P319 16568 LI X, 2005, P 12 ANN IEEE INT C 16569 LI XL, 2003, LECT NOTES COMPUT SC, V2790, P181 16570 LI XL, 2004, J SUPERCOMPUT, V28, P265 16571 MACNEICE P, 2007, PARAMESH 16572 OTSU N, 1979, IEEE T SYST MAN CYB, V9, P62 16573 PARASHAR M, 1996, P 29 ANN HAW INT C S, P604 16574 PILKINGTON J, 1996, IEEE T PAR DISTR SYS, V7 16575 POTNURU MS, 2003, THESIS U ILLINOIS UR 16576 RAY J, 2000, P COMBUST INST 1, V28, P219 16577 RIDLER TW, 1978, IEEE T SYST MAN CYB, V8, P630 16578 SABOO N, 2001, P INT C HIGH PERF CO 16579 SAGAN H, 1994, SPACE FILLING CURVES 16580 STEENSLAND J, 2002, IEEE T PARALL DISTR, V13, P1275 16581 STEENSLAND J, 2002, THESIS UPPSALA U 16582 TANG J, 2004, P IEEE INT S CLUST C, P686 16583 TERESCO JD, 2004, P WORKSH APPL PAR CO 16584 THUNE M, 1997, PARALLEL ALGORITHMS, V11, P325 16585 WISSINK AM, 2003, P 17 ACM INT C SUP I, P336 16586 NR 35 16587 TC 0 16588 PU IEEE COMPUTER SOC 16589 PI LOS ALAMITOS 16590 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 16591 SN 1045-9219 16592 J9 IEEE TRANS PARALL DISTRIB SYS 16593 JI IEEE Trans. Parallel Distrib. Syst. 16594 PD SEP 16595 PY 2007 16596 VL 18 16597 IS 9 16598 BP 1202 16599 EP 1214 16600 PG 13 16601 SC Computer Science, Theory & Methods; Engineering, Electrical & Electronic 16602 GA 193ZW 16603 UT ISI:000248314700003 16604 ER 16605 16606 PT J 16607 AU Son, SW 16608 Chen, G 16609 Ozturk, O 16610 Kandemir, M 16611 Choudhary, A 16612 AF Son, Seung Woo 16613 Chen, Guangyu 16614 Ozturk, Ozcan 16615 Kandemir, Mahmut 16616 Choudhary, Alok 16617 TI Compiler-directed energy optimization for parallel-disk-based systems 16618 SO IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 16619 LA English 16620 DT Article 16621 DE disk subsystem; I/O traces; optimizing compilers; power-aware 16622 computing; parallel I/O 16623 AB Disk subsystem is known to be a major contributor to overall power 16624 consumption of high-end parallel systems. Past research proposed 16625 several architectural-level techniques to reduce disk power by taking 16626 advantage of idle periods experienced by disks. Although such 16627 techniques have been known to be effective in certain cases, they share 16628 a common drawback: They operate in a reactive manner, i.e., they 16629 control disk power by observing past disk activity (for example, idle 16630 and active periods) and estimating future ones. Consequently, they can 16631 miss opportunities for saving power and incur significant performance 16632 penalties due to inaccuracies in predicting idle and active times. 16633 Motivated by this observation, this paper proposes and evaluates a 16634 compiler-driven approach to reducing disk power consumption of 16635 array-based scientific applications executing on parallel 16636 architectures. The proposed approach exposes disk layout information to 16637 the compiler, allowing it to derive the disk access pattern, i.e., the 16638 order in which parallel disks are accessed. This paper demonstrates two 16639 uses of this information. First, we can implement proactive disk power 16640 management, i.e., we can select the most appropriate power-saving 16641 strategy and disk-preactivation strategy based on the 16642 compiler-predicted future idle and active periods of parallel disks. 16643 Second, we can restructure the application code to increase the length 16644 of idle disk periods, which leads to better exploitation of available 16645 power-saving capabilities. We implemented both these approaches within 16646 an optimizing compiler and tested their effectiveness using a set of 16647 benchmark codes from the Spec 2000 suite and a disk power simulator. 16648 Our results show that the compiler-driven disk power management is very 16649 promising. The experimental results also reveal that, although 16650 proactive disk power management is very effective, code restructuring 16651 for disk power achieves additional energy savings across all the 16652 benchmarks tested, and these savings are very close to optimal savings 16653 that can be obtained through an Integer Linear Programming (ILP)-based 16654 scheme. 16655 C1 Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 USA. 16656 Microsoft Corp, Redmond, WA 98052 USA. 16657 Northwestern Univ, Dept Elect & Comp Engn, Evanston, IL 60208 USA. 16658 RP Son, SW, Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 16659 USA. 16660 EM sson@cse.psu.edu 16661 guchen@microsoft.com 16662 ozturk@cse.psu.edu 16663 kandemir@cse.psu.edu 16664 choudhar@ece.northwestern.edu 16665 CR BENINI L, 1999, ACM T DES AUTOMAT EL, V4, P351 16666 BUCY JS, 2003, CMUCS03102 CMU 16667 CARRERA EV, 2003, P INT C SUP, P86 16668 CHASE J, 2001, P 18 ACM S OP SYST P, P103 16669 CHASE J, 2001, P 8 WORKSH HOT TOP O, P165 16670 CHEN X, 2003, P INT S LOW POW EL D, P90 16671 DOUGLASS SL, 1994, J COASTAL RES, V10, P306 16672 DOUGLIS F, 1995, P 2 USENIX S MOB LOC, P121 16673 ELNOZAHY ENM, 2002, P 2 WORKSH POW AW CO 16674 ELNOZAHY M, 2003, P 4 US S INT TECHN S 16675 GURUMURTHI S, 2003, P INT S COMP ARCH, P169 16676 GURUMURTHI S, 2003, P INT S PERF AN SYST, P123 16677 HALLOCK GG, 1996, J RECONSTR MICROSURG, V12, P89 16678 HEATH T, 2002, P INT C PAR ARCH COM, P121 16679 KIM EJ, 2003, P INT S LOW POW EL D, P459 16680 KOELBEL CH, 1993, HIGH PERFORMANCE FOR 16681 LI K, 1994, P 1994 WINT USENIX C, P279 16682 MUCHNICK SS, 1997, ADV COMPILER DESIGN 16683 NEMHAUSER GL, 1988, INTEGER COMBINATORIA 16684 PAPATHANASIOU AE, 2004, P USENIX ANN TECH C, P255 16685 PEDRAM M, 2001, P C AS S PAC DES AUT, P239 16686 PERING T, 1998, P INT S LOW POW EL D 16687 PILLAI P, 2001, P 18 ACM S OP SYST P, P89 16688 PUGH W, 1992, COMMUN ACM, V35, P102 16689 ROSS RB, 2002, USING PARALLEL VIRTU 16690 SIMUNIC T, 1999, P INT S LOW POW EL D, P212 16691 SON SW, 2005, P 19 ACM INT C SUP J, P274 16692 SON SW, 2005, P ACM SIGPLAN S PRIN, P174 16693 WEISER M, 1994, P USENIX S OP SYST D, P13 16694 WOLFE M, 1996, HIGH PERFORMANCE COM 16695 ZHU Q, 2004, P 18 ANN INT C SUP, P79 16696 ZHU Q, 2004, P INT S HIGH PERF CO, P118 16697 ZHU Q, 2005, P 20 ACM S OP SYST P 16698 NR 33 16699 TC 0 16700 PU IEEE COMPUTER SOC 16701 PI LOS ALAMITOS 16702 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 16703 SN 1045-9219 16704 J9 IEEE TRANS PARALL DISTRIB SYS 16705 JI IEEE Trans. Parallel Distrib. Syst. 16706 PD SEP 16707 PY 2007 16708 VL 18 16709 IS 9 16710 BP 1241 16711 EP 1257 16712 PG 17 16713 SC Computer Science, Theory & Methods; Engineering, Electrical & Electronic 16714 GA 193ZW 16715 UT ISI:000248314700006 16716 ER 16717 16718 PT J 16719 AU Shan, T 16720 Yang, OWW 16721 AF Shan, Tong 16722 Yang, Oliver W. W. 16723 TI Bandwidth management for supporting differentiated-service-aware 16724 traffic engineering 16725 SO IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 16726 LA English 16727 DT Article 16728 DE resource management; admission control; differentiated service; traffic 16729 engineering 16730 ID NETWORKS; MPLS 16731 AB This paper presents a bandwidth management framework for the support of 16732 Differentiated-Service-aware Traffic Engineering (DS-TE) in 16733 multiprotocol label switching (MPLS) networks. Our bandwidth management 16734 framework contains both bandwidth allocation and preemption mechanisms 16735 in which the link bandwidth is managed in two dimensions: class type 16736 (CT) and preemption priority. We put forward a Max-Min bandwidth 16737 constraint model in which we propose a novel "use it or lend it" 16738 strategy. The new model is able to guarantee a minimum bandwidth for 16739 each CT without causing resource fragmentation. Furthermore, we design 16740 three new bandwidth preemption algorithms for three bandwidth 16741 constraint models, respectively. An extensive simulation study is 16742 carried out to evaluate the effectiveness of the bandwidth constraint 16743 models and preemption algorithms. When compared with the existing 16744 constraint models and preemption rules, the proposed Max-Min constraint 16745 model and preemption algorithms improve not only bandwidth efficiency, 16746 but also robustness and fairness. They achieve significant performance 16747 improvement for the well-behaving traffic classes in terms of bandwidth 16748 utilization and bandwidth blocking and preemption probability. We also 16749 provide guidelines for selecting different DS-TE bandwidth management 16750 mechanisms. 16751 C1 Nortel Networks, Ottawa, ON K2H 8E9, Canada. 16752 Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada. 16753 RP Shan, T, Nortel Networks, Ottawa, ON K2H 8E9, Canada. 16754 EM tshan@ieee.org 16755 yang@site.uottawa.ca 16756 CR ASH J, 2004, MAX ALLOCATION RESER 16757 AWDUCHE D, 1999, 2702 IETF RFC 16758 AWDUCHE D, 2001, 3209 RFC 16759 AWDUCHE D, 2002, 3272 RFC 16760 BLAKE S, 1998, 2475 IETF RFC 16761 BORST SC, 1998, IEEE J SEL AREA COMM, V16, P668 16762 BOUILLET E, 2002, IEEE J SEL AREA COMM, V20, P691 16763 DEOLIVEIRA JC, 2002, P IEEE INFOCOM 02 MA 16764 DUAN ZH, 2004, IEEE T PARALL DISTR, V15, P167 16765 GUERIN R, 1997, P IEEE GLOBECOM 97 N, P1903 16766 HOU YT, 2004, IEEE T PARALL DISTR, V15, P401 16767 JEON S, 2002, P IEEE INT C COMM IC, P2294 16768 JIA WJ, 2004, IEEE T PARALL DISTR, V15, P673 16769 KALAMPOUKAS L, 1995, P 6 IFIP INT C HIGH, P143 16770 KAMOUN F, 1980, IEEE T COMMUN, V28, P992 16771 LAI WS, 2002, P SOC PHOTO-OPT INS, V4865, P256 16772 LEE WC, 1995, IEEE NETWORK, V9, P14 16773 LEFAUCHEUR F, 2002, 3270 IETF RFC 16774 LEFAUCHEUR F, 2003, 3564 IETF RFC 16775 LEFAUCHEUR F, 2004, MAXIMUM ALLOCATION B 16776 LEFAUCHEUR F, 2004, PROTOCOL EXTENSIONS 16777 LEFAUCHEUR F, 2004, RUSSIAN DOLLS BANDWI 16778 MA Q, 1999, P IEEE INFOCOM 99 NE, P649 16779 MITRA D, 1997, P IEEE GLOBECOM, P1784 16780 PEYRAVIAN M, 1998, COMPUT NETWORKS ISDN, V30, P1029 16781 SCOGLIO C, 2004, IEEE COMMUN MAG, V42, P134 16782 TEITELBAUM B, 1999, IEEE NETWORK, V13, P8 16783 NR 27 16784 TC 0 16785 PU IEEE COMPUTER SOC 16786 PI LOS ALAMITOS 16787 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 16788 SN 1045-9219 16789 J9 IEEE TRANS PARALL DISTRIB SYS 16790 JI IEEE Trans. Parallel Distrib. Syst. 16791 PD SEP 16792 PY 2007 16793 VL 18 16794 IS 9 16795 BP 1320 16796 EP 1331 16797 PG 12 16798 SC Computer Science, Theory & Methods; Engineering, Electrical & Electronic 16799 GA 193ZW 16800 UT ISI:000248314700012 16801 ER 16802 16803 PT J 16804 AU Yang, B 16805 Wang, P 16806 Bar-Cohen, A 16807 AF Yang, Bao 16808 Wang, Peng 16809 Bar-Cohen, Avram 16810 TI Mini-contact enhanced thermoelectric cooling of hot spots in high power 16811 devices 16812 SO IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES 16813 LA English 16814 DT Article 16815 DE thermoelectric coolers (TECs) 16816 ID SUPERLATTICE; MICROREFRIGERATORS 16817 AB Cooling hot-spots with high heat flux (e.g., > 1000 W/cm(2)) is 16818 becoming one of the most important technical challenge in today's 16819 integrated circuit industry. More aggressive thermal solutions, than 16820 would be required for uniform heating, are highly desired. Recently, 16821 solid state thermoelectric coolers (TECs) have received more attention 16822 for hot-spot thermal management. However, present day TECs typically 16823 have cooling flux much lower than heat flux in the hot-spots. In this 16824 work, we reported an innovative technique-TE Mini-contact-to 16825 significantly increase cooling flux of TECs for the application in 16826 hot-spot cooling. A chip package featuring a TE Mini-contact cooler 16827 integrated with conventional integrated heat spreader and heat sink is 16828 designed. The cooling performance of such chip package has been 16829 investigated by using a 3-D numeric model. It is found that the cooling 16830 in the hot-spot (1250 W/cm(2) 400 mu m by 400 mu m) can be about 19 16831 degrees C better in the proposed package than that achieved in the 16832 conventional chip package without TEC. The effects of trench, die 16833 thickness, and TEC misalignment on the cooling of the hot-spot are also 16834 discussed. 16835 C1 Univ Maryland, Dept Mech Engn, College Pk, MD 20742 USA. 16836 RP Yang, B, Univ Maryland, Dept Mech Engn, College Pk, MD 20742 USA. 16837 EM baoyang@umd.edu 16838 CR *INEMI, 2004, EL MAN IN TECHN ROAD 16839 *MARL IND INC, 2007, MARL SPEC THERM SOL 16840 BARCOHEN A, 2004, 7 ANN TOP RES C REL 16841 CHEN G, 2004, HEAT TRANSFER FLUID, P45 16842 FLEURIAL JP, 1997, 16 INT C THERM DRESD 16843 HARMAN TC, 2002, SCIENCE, V297, P2229 16844 ROWE DM, 1995, CRC HDB THERMOELECTR 16845 SHAKOURI A, 2005, IEEE T COMPON PACK T, V28, P65 16846 SIMONS RE, 2005, J HEAT TRANS-T ASME, V127, P76 16847 SOLBREKKEN GL, 2004, 9 INT C THERM THERM 16848 VENKATASUBRAMANIAN R, 2001, NATURE, V413, P597 16849 WANG P, 2005, INTERPACK 05 C SAN F 16850 YANG B, 2002, APPL PHYS LETT, V80, P1758 16851 YANG B, 2005, 0086487, US 16852 YANG B, 2005, THERMAL CONDUCTIVITY, P167 16853 YANG B, 2006, 56 EL COMP TECHN C E 16854 ZHANG Y, UNPUB IEEE T COMPON 16855 ZHANG Y, 2005, IEEE T COMPON PACK T, V28, P658 16856 ZHANG Y, 2005, INT 05 C SAN FRANC C 16857 NR 19 16858 TC 0 16859 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 16860 PI PISCATAWAY 16861 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 16862 SN 1521-3331 16863 J9 IEEE TRANS COMPON PACKAGING T 16864 JI IEEE Trans. Compon. Packaging Technol. 16865 PD SEP 16866 PY 2007 16867 VL 30 16868 IS 3 16869 BP 432 16870 EP 438 16871 PG 7 16872 SC Engineering, Manufacturing; Engineering, Electrical & Electronic; 16873 Materials Science, Multidisciplinary 16874 GA 206VA 16875 UT ISI:000249209800010 16876 ER 16877 16878 PT J 16879 AU Nakaoka, K 16880 Matsuda, J 16881 Yoshizumi, M 16882 Goto, T 16883 Yamada, Y 16884 Izumi, T 16885 Shiohara, Y 16886 AF Nakaoka, K. 16887 Matsuda, J. 16888 Yoshizumi, M. 16889 Goto, T. 16890 Yamada, Y. 16891 Izumi, T. 16892 Shiohara, Y. 16893 TI Optimization of process parameters for calcination in TFA-MOD method 16894 SO IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY 16895 LA English 16896 DT Article 16897 DE microstructure; segregation; TFA-MOD method; YBCO film 16898 ID YBCO FILMS 16899 AB We have investigated the influence of the H2O vapour inlet temperature 16900 in the calcination on both the microstructure and superconducting 16901 properties of YBa2Cu3O7-x (YBCO) films fabricated by the TFA-MOD 16902 method, from the viewpoint of the process control in the reel-to-reel 16903 system. Low critical current (I-c) values were obtained in the films 16904 prepared by introducing the H2O vapour at temperatures less than 200 16905 degrees C. XRD measurements and cross-sectional TEM observations 16906 suggest that the YBCO films calcined with the H2O vapour inlet 16907 temperature below 200 degrees C revealed a random orientation without 16908 the epitaxial growth of the YBCO phase grains. Consequently, it is 16909 necessary to introduce H2O vapour from temperatures higher than 250 16910 degrees C in calcination for fabrication of high performance YBCO 16911 tapes. In reel-to-reel system, it is important that the humidity 16912 management in a low temperature range in the furnace. 16913 C1 ISTEC, Superconduct Res Lab, Tokyo 1350062, Japan. 16914 ADEAKA Corp, Arakawa Ku, Tokyo 1168553, Japan. 16915 ISTEC, Supercond Res Lab, Nagoya Coated Conductor Ctr, Atsuta Ku, Nagoya, Aichi 4568597, Japan. 16916 RP Nakaoka, K, ISTEC, Superconduct Res Lab, Shinonome 1-10-13, Tokyo 16917 1350062, Japan. 16918 EM knakaoka@istec.or.jp 16919 yyamada@istec.or.jp 16920 CR FUJI H, 2001, PHYSICA C 2, V357, P1011 16921 IIJIMA Y, 1993, IEEE T APPL SUPERCON, V3, P1510 16922 MCINTYRE PC, 1992, J APPL PHYS, V71, P1868 16923 SMITH JA, 1999, IEEE T APPL SUPERC 2, V9, P1531 16924 TOKUNAGA Y, 2004, CRYOGENICS, V44, P817 16925 NR 5 16926 TC 0 16927 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 16928 PI PISCATAWAY 16929 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 16930 SN 1051-8223 16931 J9 IEEE TRANS APPL SUPERCONDUCT 16932 JI IEEE Trans. Appl. Supercond. 16933 PD JUN 16934 PY 2007 16935 VL 17 16936 IS 2 16937 PN Part 3 16938 BP 3313 16939 EP 3316 16940 PG 4 16941 SC Engineering, Electrical & Electronic; Physics, Applied 16942 GA 195WL 16943 UT ISI:000248442900196 16944 ER 16945 16946 PT J 16947 AU Gordon, IJ 16948 AF Gordon, Iain J. 16949 TI Linking land to ocean: feedbacks in the management of socio-ecological 16950 systems in the Great Barrier Reef catchments 16951 SO HYDROBIOLOGIA 16952 LA English 16953 DT Article 16954 DE sediment; nutrient; coral reef; grazing; marine; aquatic 16955 ID WATER-QUALITY; CORAL-REEFS; QUEENSLAND; RUNOFF 16956 AB The Great Barrier Reef (GBR) off Australia's northeast coast is one of 16957 the natural wonders of the world. As a consequence it has high value, 16958 not only for biodiversity, but also for tourists who come to see the 16959 GBR and the biodiversity associated with it, bringing in over A$3.5B 16960 per annum to the Australian economy. However, there are a number of 16961 natural and anthropogenic factors that are threatening the health of 16962 the reef ecosystems. One of the major anthropogenic factors is the 16963 impact of sediments and nutrients that run off the land, via the 16964 rivers, into the lagoon of the reef. Extensive beef production is one 16965 of the major land uses of the GBR catchment, and brings in over $1B to 16966 the national economy annually and employs nearly 9,000 people, many of 16967 them in rural communities. Over 70% of terrestrial sediments and 16968 nutrients deposited in the GBR lagoon affecting the health of 16969 vulnerable reef ecosystems originate from the extensive grazing lands 16970 of Queensland's interior. Recent research indicates that the quantity 16971 of sediments and nutrients lost from these grazing lands is strongly 16972 dependent upon grazing management practices; grazing leads to 16973 degradation of soil and vegetation resources, reduced infiltration and 16974 vegetation production. This has led to a growing concern amongst the 16975 Australian public about the environmental performance of the beef 16976 industry and increasing pressures on graziers to change their 16977 management practices to decrease the off-farm impacts. Given the 16978 constraints within the system improvements in water quality draining 16979 into the GBR lagoon can best be achieved by demonstrating the 16980 productivity and economic benefits of science-based improved grazing 16981 management practices for graziers, leading to "AllWin" outcomes for all 16982 concerned. In the longer term, only when the range of stakeholders 16983 involved approach catchments as linked biophysical, social and economic 16984 systems, will truly integrated adaptive catchment management be applied 16985 to the GBR. 16986 C1 CSIRO, Davies Lab, Aitkenvale, Qld 4814, Australia. 16987 RP Gordon, IJ, CSIRO, Davies Lab, PMB PO, Aitkenvale, Qld 4814, Australia. 16988 EM iain.gordon@csiro.au 16989 CR 2003, REEF WATER QUALITY P 16990 *ACC EC, 2005, MEAS EC FIN VAL GREA 16991 *PROD COMM, 2003, IND LAND US WAT QUAL 16992 ASH AJ, 2001, ECOGRAZE PROJECT DEV 16993 BOYD CE, 2003, AQUACULTURE, V226, P101 16994 BRODIE J, 2003, 0311 AUSTR CTR MAR T 16995 CHRISTENSEN SM, 2004, CENTRAL QUEENSLAND S 16996 CRAIK W, 1992, MAR POLLUT BULL, V25, P122 16997 FABRICIUS K, 2005, MAR POLLUT BULL, V51, P384 16998 FABRICIUS KE, 2004, ECOL APPL, V14, P1448 16999 FABRICIUS KE, 2005, MAR POLLUT BULL, V50, P125 17000 FINLAYSON CM, 2001, PROTECTING VALUES RI 17001 FURNAS M, 2003, CATCHMENTS CORALS TE 17002 GILBERT MJ, 2003, RES PUBLICATION SERI 17003 LUDWIG JA, 2005, ECOLOGY, V86, P288 17004 MCINTOSH PC, 2005, J CLIMATE, V18, P4287 17005 MCIVOR JG, 1994, TROP GRASSLANDS, V28, P256 17006 NELDNER J, 2006, ECOL MANAG RESTOR S1, V7, S5 17007 NORTHUP BK, 2005, AGROFORESTRY SYSTEMS, V65, P137 17008 OREAGAIN PJ, 2005, MAR POLLUT BULL, V51, P37 17009 RIETKERK M, 1997, OIKOS, V79, P69 17010 ROTH CH, 2003, REDUCING SEDIMENT EX 17011 SAMMUT J, 1996, MAR FRESHWATER RES, V47, P669 17012 WACHENFELD DR, 1998, STATE GREAT BARRIER 17013 NR 24 17014 TC 1 17015 PU SPRINGER 17016 PI DORDRECHT 17017 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 17018 SN 0018-8158 17019 J9 HYDROBIOLOGIA 17020 JI Hydrobiologia 17021 PD OCT 17022 PY 2007 17023 VL 591 17024 BP 25 17025 EP 33 17026 PG 9 17027 SC Marine & Freshwater Biology 17028 GA 203LI 17029 UT ISI:000248975700003 17030 ER 17031 17032 PT J 17033 AU Kishore, B 17034 Khare, P 17035 Gupta, RJ 17036 Bisht, S 17037 Majumdar, K 17038 AF Kishore, Bimal 17039 Khare, Pratima 17040 Gupta, Rashmi Jain 17041 Bisht, Sonali 17042 Majumdar, Kaushik 17043 TI Hemoglobin E disease in north Indian population: A report of 11 cases 17044 SO HEMATOLOGY 17045 LA English 17046 DT Article 17047 DE HbE; red cell indices; HPLC; India 17048 ID E-MESSENGER-RNA; THALASSEMIA; VARIANTS 17049 AB Hemoglobin E ( beta 26Glu -> Lys) is the most common hemoglobin ( Hb) 17050 variant in Southeast Asia and the second most prevalent worldwide. 17051 However in India, it is prevalent in Bengal and the north- eastern 17052 region, but relatively rare in the rest of the country. Identification 17053 of this Hb variant is important, because the doubly heterozygous state 17054 for HbE and beta- thalassemia is characterized clinically by 17055 thalassemia major, a situation different from other compound 17056 heterozygous states for structural b- chain variants and b- 17057 thalassemia. Thus, the affected individual may be symptomatic and 17058 transfusion dependent at an early age. This paper reports four cases 17059 with Hb E trait, three cases with hemoglobin E disease and another four 17060 cases with E beta- thalassemia. Laboratory investigations are based on 17061 RBC indices and high performance liquid chromatography ( HPLC). A 17062 negative correlation has been found to exist between levels of HbA(2) 17063 and RBC indices including the MCV and MCH. A similar correlation has 17064 been seen between levels of HbF with Hb, RBC count, and MCV. The main 17065 aim is to increase the awareness of this relatively rare disorder, so 17066 that it can be included in the differential diagnosis of patients 17067 presenting clinically like thalassemia intermedia or thalassemia major. 17068 This awareness may also help in prenatal diagnosis, genetic counseling 17069 and clinical management. The clinical, hematological and laboratory 17070 features of this disorder are also discussed. 17071 C1 Lok Nayak Hosp, Dept Clin Pathol, New Delhi 110002, India. 17072 RP Bisht, S, Lok Nayak Hosp, Dept Clin Pathol, New Delhi 110002, India. 17073 EM b_sonali2006@yahoo.co.in 17074 CR BALGIR RS, 2005, ANN HUM BIOL, V32, P560 17075 BENZ EJ, 1981, J CLIN INVEST, V68, P118 17076 BEUTLER E, 2000, WILLIAMS HEMATOLOGY, P581 17077 FLATZ G, 1967, HUMANGENETIK, V3, P189 17078 FUCHAROEN S, 1988, HEMOGLOBIN, V12, P581 17079 GALANELLO R, 1995, J AUTOM CHEM, V17, P73 17080 GWENDOLYN MC, 2000, CLIN CHEM, V46, P1284 17081 HURST D, 1983, J PEDIATR, V102, P692 17082 ITTARAT W, 2000, J MED ASS THAI MAR, V83, P259 17083 KAKKAR N, 2005, INDIAN J PATHOL MICR, V48, P408 17084 LUKENS JN, 2003, WINTROBES CLIN HEMAT, P1247 17085 NUCHPRAYOON I, 2003, J MED ASS THAI JU S2, V86, S160 17086 OO M, 1995, B WORLD HEALTH ORGAN, V73, P659 17087 ORKIN SH, 1982, NATURE, V300, P768 17088 REES DC, 1998, ANN NY ACAD SCI, V850, P334 17089 TRAEGER J, 1980, NATURE, V288, P497 17090 TRAEGER J, 1982, J CLIN INVEST, V69, P1050 17091 VICHINSKY EP, 2005, ANN NY ACAD SCI, V1054, P18 17092 WASI P, 1967, BRIT MED J, V4, P29 17093 WEATHERALL DJ, 2005, ANN NY ACAD SCI, V1054, P11 17094 WINICHAGOON P, 1995, SE ASIAN J TROP MED, V26, P282 17095 NR 21 17096 TC 0 17097 PU TAYLOR & FRANCIS LTD 17098 PI ABINGDON 17099 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 17100 SN 1024-5332 17101 J9 HEMATOLOGY 17102 JI Hematology 17103 PY 2007 17104 VL 12 17105 IS 4 17106 BP 343 17107 EP 347 17108 PG 5 17109 SC Hematology 17110 GA 205QN 17111 UT ISI:000249129800011 17112 ER 17113 17114 PT J 17115 AU Keles, S 17116 Yolasigmaz, HA 17117 Baskent, EZ 17118 AF Keles, Sedat 17119 Yolasigmaz, H. Ahmet 17120 Baskent, E. Zeki 17121 TI Long-term modelling and analyzing of some important forest ecosystem 17122 values with linear programming 17123 SO FRESENIUS ENVIRONMENTAL BULLETIN 17124 LA English 17125 DT Article 17126 DE forest management; forest ecosystem values; linear programming 17127 ID CARBON SEQUESTRATION; TIMBER HARVEST; MANAGING FOREST; WATER YIELD; 17128 MANAGEMENT; OBJECTIVES; BIODIVERSITY; PERSPECTIVE; SERVICES; STAND 17129 AB This study tackles the integration of six important selected forest 17130 values (soil conservation, carbon sequestration, visual quality, 17131 timber, water and oxygen production) into a linear programming-based 17132 forest management planning, model. All forest values were functionally 17133 linked to forest stand characteristics, and a number of forest 17134 management strategies were developed to evaluate the trade-offs among 17135 forest values. The outputs of each strategy are evaluated with a number 17136 of performance indicators, such as standing timber volume, harvested 17137 volume, ending forest inventory, areas harvested and basal area. The 17138 management strategies indicated that lon-term protection of forest 17139 ecosystems played an important role on the amount of carbon 17140 sequestration, soil conservation and visual quality values. The 17141 integration of timber volume policy constraints into timber-based 17142 forest management planning caused losses in timber volumes. Increased 17143 net carbon sequestration and dereased soil losses were attained at a 17144 significant cost, in terms of forgone timber harvest. Soil losses and 17145 water productions of forest ecosystems decreased, when residual basal 17146 area of forest stands increased. Clear-cuttings of forest stands have 17147 negative effects on visual quality. Higher timber growth rates resulted 17148 in more oxygen production. 17149 C1 Karadeniz Tech Univ, Fac Forestry, TR-61080 Trabzon, Turkey. 17150 RP Keles, S, Karadeniz Tech Univ, Fac Forestry, TR-61080 Trabzon, Turkey. 17151 EM skeles@ktu.edu.tr 17152 CR ASAN U, 1999, ORMAN KAYNAKLANNM CO, P33 17153 ASAN U, 2002, ISTANBUL KORULARNMIN, P194 17154 ASAN U, 2005, FORESTRY ENV CHANGE, V11, P193 17155 BACKEUS S, 2005, FOREST ECOL MANAG, V216, P28 17156 BASKENT EZ, 1996, LANDSCAPE URBAN PLAN, V34, P55 17157 BATEMAN IJ, 2000, J ENVIRON MANAGE, V60, P301 17158 BERTOMEU M, 2001, AGR SYST, V68, P197 17159 BOSCH JM, 1982, J HYDROL, V55, P3 17160 DIAZBALTEIRO L, 2003, FOREST ECOL MANAG, V174, P447 17161 ERCANLI I, 2003, THESIS KARADENIZ TEC 17162 FIELD RC, 1980, FOREST SCI, V26, P121 17163 GONG P, 2001, MULTIPLE USE FOREST, V212 17164 GONG P, 2002, J FOREST ECON, V8, P1 17165 GUL AU, 2002, BIYOLOJIK CESITILIK, P212 17166 GUO ZW, 2001, ECOL ECON, V38, P141 17167 HAIGHT RG, 1992, FOREST SCI, V38, P554 17168 HOEN HF, 1994, FOREST SCI, V40, P429 17169 HOF J, 2000, CAN J FOREST RES, V30, P1494 17170 HOF JG, 1986, FOREST SCI, V32, P663 17171 HOF JG, 1993, CAN J FOREST RES, V23, P828 17172 HOGANSON HM, 1993, FOREST SCI, V39, P321 17173 HOMBECK JW, 1993, J HYDROL, V150, P323 17174 KAIPAINEN T, 2004, ENVIRON SCI POLICY, V7, P205 17175 KANGAS J, 1992, SCAND J FOREST RES, V7, P259 17176 KANGAS J, 1993, FOREST ECOL MANAG, V61, P1 17177 KELES S, 2004, KSU J SCI ENG, V8, P65 17178 KOCHLI DA, 2005, FOREST ECOL MANAG, V209, P57 17179 KRCMAR E, 2001, EUR J OPER RES, V135, P616 17180 KRCMAR E, 2005, ECOL MODEL, V185, P451 17181 MASERA OR, 2003, ECOL MODEL, V164, P177 17182 NOUSIAINEN I, 1992, SILVA FENNICA, V26, P241 17183 PUHALEV GA, 1994, YERLESIM MERKEZLERIN 17184 PUKKALA T, 1988, SCAND J FOR RES, V3, P533 17185 PUKKALA T, 1988, SILVA FENNICA, V22, P135 17186 PUKKALA T, 1995, LANDSCAPE URBAN PLAN, V32, P185 17187 PUKKALA T, 2002, MULTI OBJECTIVE FORE, P173 17188 RAYMER AKP, 2005, THESIS NORWEGIAN U L 17189 ROWSE J, 1998, SOCIO ECON PLAN SCI, V32, P277 17190 SILVENNOINEN H, 2002, SCAND J FOREST RES, V17, P263 17191 STEDNICK JD, 1996, J HYDROL, V176, P79 17192 STRANGE N, 1999, FOREST ECOL MANAG, V124, P79 17193 SUN G, 2001, FOREST ECOL MANAG, V143, P227 17194 SUN O, 1977, TUBITAKTOAG288 17195 TECLE A, 1998, GROUP DECIS NEGOT, V7, P23 17196 WHITEHEAD PG, 1993, J HYDROL, V145, P217 17197 WISCHMEIER WH, 1978, AGR HDB, V537 17198 YOLASIGMAZ HA, 2004, THESIS KARADENIZ TEC 17199 NR 47 17200 TC 0 17201 PU PARLAR SCIENTIFIC PUBLICATIONS (P S P) 17202 PI FREISING 17203 PA ANGERSTR. 12, 85354 FREISING, GERMANY 17204 SN 1018-4619 17205 J9 FRESEN ENVIRON BULL 17206 JI Fresenius Environ. Bull. 17207 PY 2007 17208 VL 16 17209 IS 8 17210 BP 963 17211 EP 972 17212 PG 10 17213 SC Environmental Sciences 17214 GA 207CE 17215 UT ISI:000249228400017 17216 ER 17217 17218 PT J 17219 AU Iguchi, K 17220 Mogi, M 17221 AF Iguchi, Kei'ichiro 17222 Mogi, Minoru 17223 TI Effect of introducing wild paternity on stock performance of 17224 hatchery-reared ayu 17225 SO FISHERIES SCIENCE 17226 LA English 17227 DT Article 17228 DE ayu; domestication; genetic variability; principal component analysis; 17229 pure-bred breeding; wild paternity 17230 ID SALMON ONCORHYNCHUS-KISUTCH; PLECOGLOSSUS-ALTIVELIS; RESOURCE 17231 ENHANCEMENT; INDIVIDUALS; DIVERGENCE; FISH 17232 AB The domestication of ayu Plecoglossus altivelis, in which breeding has 17233 been carried out for multiple generations without the introduction of 17234 exotic broodstock (purebred-styled cultivation), causes rapid loss of 17235 genetic variability, and is problematic for resource management 17236 programs. The introduction of wild paternity to enhance genetic 17237 variability was examined for its effects on the performance of the 17238 newly hybridized stock using the Gunma population (hatchery strain), 17239 which has been inbred for 29 generations since its origin. Principal 17240 component analysis showed that hybridization could modify the stock 17241 performance, moderately affecting behavior and morphometrics. 17242 Reinforcement of aggressiveness as well as transformation to a 17243 long-nosed shape in the hybrid population contributed revised 17244 performance that was acceptable to sports fishers as an artificial 17245 stock. To reduce genetic stress for native ayu populations, the 17246 introduction of wild paternity is proposed through sperm from wild 17247 caught specimens to hybridize with eggs from the pure-bred hatchery 17248 population. 17249 C1 Natl Res Inst Fisheries Sci, Ueda, Nagano 3860031, Japan. 17250 Gunma Prefectural Fisheries Expt Stn, Maebashi, Gumma 3710036, Japan. 17251 RP Iguchi, K, Natl Res Inst Fisheries Sci, Ueda, Nagano 3860031, Japan. 17252 EM keyichi@fra.affrc.go.jp 17253 CR *FAO, 1993, 491 FAO 17254 ARAI H, 2002, REP GUNMA FISH EXP S, V8, P80 17255 BOLNICK DI, 2003, AM NAT, V161, P1 17256 FLEMING IA, 1992, AQUACULTURE, V103, P101 17257 FLEMING IA, 1993, ECOL APPL, V3, P230 17258 FLEMING IA, 1994, CAN J FISH AQUAT SCI, V51, P2808 17259 HARADA Y, 1992, NIPPON SUISAN GAKK, V58, P1833 17260 HARADA Y, 1992, NIPPON SUISAN GAKK, V58, P2269 17261 HARADA Y, 1998, RES POPUL ECOL, V40, P311 17262 HESTHAGEN T, 1995, CAN J FISH AQUAT SCI, V52, P2159 17263 IGUCHI K, 1991, B NATL RES I FISH SC, V2, P15 17264 IGUCHI K, 1996, J ETHOL, V14, P53 17265 IGUCHI K, 1997, FISHERIES SCI, V63, P901 17266 IGUCHI K, 1999, AQUACULTURE, V178, P235 17267 IGUCHI K, 1999, FISHERIES SCI, V65, P63 17268 IGUCHI K, 2001, ANIM BEHAV 2, V61, P351 17269 IKEDA M, 2005, NIPPON SUISAN GAKK, V75, P768 17270 ISHIDA R, 1964, B NATL RES FRESHWAT, V14, P29 17271 JOHNSSON JI, 1991, CAN J FISH AQUAT SCI, V48, P243 17272 TABATA K, 2005, FISH GENET BREED SCI, V34, P117 17273 TAGO Y, 2003, B TOYAMA PREF RES I, V14, P29 17274 TSUKAMOTO K, 1990, NIPPON SUISAN GAKK, V56, P1177 17275 YAMAMOTO T, 2000, REP YAHAGI RIVER I, V4, P169 17276 YOSHIZAWA K, 2003, REP GUNMA FISH EXP S, V9, P67 17277 NR 24 17278 TC 0 17279 PU BLACKWELL PUBLISHING 17280 PI OXFORD 17281 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 17282 SN 0919-9268 17283 J9 FISHERIES SCIENCE 17284 JI Fish. Sci. 17285 PD AUG 17286 PY 2007 17287 VL 73 17288 IS 4 17289 BP 845 17290 EP 850 17291 PG 6 17292 SC Fisheries 17293 GA 203FW 17294 UT ISI:000248961500014 17295 ER 17296 17297 PT J 17298 AU Coggins, LG 17299 Catalano, MJ 17300 Allen, MS 17301 Pine, WE 17302 Walters, CJ 17303 AF Coggins, Lewis G., Jr. 17304 Catalano, Matthew J. 17305 Allen, Micheal S. 17306 Pine, William E., III 17307 Walters, Carl J. 17308 TI Effects of cryptic mortality and the hidden costs of using length 17309 limits in fishery management 17310 SO FISH AND FISHERIES 17311 LA English 17312 DT Article 17313 DE catch and release; discard mortality; length limits; recruitment 17314 overfishing; spawning potential ratio; yield 17315 ID RECREATIONAL FISHERIES; MARINE; COLLAPSE; ECOSYSTEMS; IMPACTS; SHARKS 17316 AB Fishery collapses cause substantial economic and ecological harm, but 17317 common management actions often fail to prevent overfishing. Minimum 17318 length limits are perhaps the most common fishing regulation used in 17319 both commercial and recreational fisheries, but their conservation 17320 benefits can be influenced by discard mortality of fish caught and 17321 released below the legal length. We constructed a computer model to 17322 evaluate how discard mortality could influence the conservation utility 17323 of minimum length regulations. We evaluated policy performance across 17324 two disparate fish life-history types: short-lived high-productivity 17325 (SLHP) and long-lived low-productivity (LLLP) species. For the 17326 life-history types, fishing mortality rates and minimum length limits 17327 that we examined, length limits alone generally failed to achieve 17328 sustainability when discard mortality rate exceeded about 0.2 for SLHP 17329 species and 0.05 for LLLP species. At these levels of discard 17330 mortality, reductions in overall fishing mortality (e.g. lower fishing 17331 effort) were required to prevent recruitment overfishing if fishing 17332 mortality was high. Similarly, relatively low discard mortality rates 17333 (> 0.05) rendered maximum yield unobtainable and caused a substantial 17334 shift in the shape of the yield response surfaces. An analysis of 17335 fishery efficiency showed that length limits caused the simulated 17336 fisheries to be much less efficient, potentially exposing the target 17337 species and ecosystem to increased negative effects of the fishing 17338 process. Our findings suggest that for overexploited fisheries with 17339 moderate-to-high discard mortality rates, reductions in fishing 17340 mortality will be required to meet management goals. Resource managers 17341 should carefully consider impacts of cryptic mortality sources (e.g. 17342 discard mortality) on fishery sustainability, especially in 17343 recreational fisheries where release rates are high and effort is 17344 increasing in many areas of the world. 17345 C1 Univ Florida, Dept Fisheries & Aquat Sci, Gainesville, FL 32653 USA. 17346 Univ British Columbia, Fisheries Ctr, Vancouver, BC V6T 1Z4, Canada. 17347 RP Coggins, LG, US Geol Survey, Grand Canyon Monitoring & Res Ctr, 2255 N 17348 Gemini Dr, Flagstaff, AZ 86001 USA. 17349 EM lcoggins@usgs.gov 17350 CR *ASMFC, 2006, REV FISH MAN PLAN SP 17351 *ASMFC, 2006, STOCK ASS ATL STRIP 17352 *FAO, 2005, 457 FAO 17353 *NRC, 2006, COMM ECOSYSTEM EFFEC 17354 *NRC, 2006, REV RECR FISH SURV M 17355 BARTHOLOMEW A, 2005, REV FISH BIOL FISHER, V15, P129 17356 BEARD TD, 1999, N AM J FISH MANAGE, V19, P1037 17357 BEARZI G, 2006, BIOL CONSERV, V127, P373 17358 BERTALANFFY LV, 1938, HUM BIOL, V10, P181 17359 BEVERTON RJH, 1992, J FISH BIOL, V41, P137 17360 BOTSFORD LW, 1981, J MATH BIOL, V12, P265 17361 CLARK WG, 2002, NORTH AM J FISH MANA, V22, P251 17362 COLEMAN FC, 2004, SCIENCE, V305, P1958 17363 COX SP, 2002, NORTH AM J FISH MANA, V22, P21 17364 ESSINGTON TE, 2002, ECOL APPL, V12, P724 17365 FOGARTY MJ, 1998, ECOL APPL, V8, P6 17366 FROESE R, 2006, FISHBASE 17367 GOODWIN NB, 2006, CAN J FISH AQUAT SCI, V63, P494 17368 GOODYEAR CP, 1980, BIOL MONITORING FISH, P253 17369 GOODYEAR CP, 1993, RISK EVALUATION BIOL, V120 17370 HOENIG JM, 1983, FISH B US, V82, P898 17371 JACKSON JBC, 2001, SCIENCE, V293, P629 17372 JENSEN AL, 1996, CAN J FISH AQUAT SCI, V53, P820 17373 LOTZE HK, 2004, ECOL APPL, V14, P1428 17374 MACE PM, 1994, CAN J FISH AQUAT SCI, V51, P110 17375 MUONEKE MI, 1994, REV FISH SCI, V2, P123 17376 MURPHY MD, 2003, STOCK ASSESSMENT SPO 17377 MYERS RA, 1999, CANADIAN J FISHERIES, V56, P2402 17378 PAULY D, 1998, SCIENCE, V279, P860 17379 POST JR, 2002, FISHERIES, V27, P6 17380 QUINN TJ, 1999, QUANTITATIVE FISH DY 17381 RADOMSKI P, 2003, N AM J FISH MANAGE, V23, P1329 17382 RICKER WE, 1975, B FISH RES BOARD CAN, V191, P1 17383 SCHINDLER DE, 2002, ECOL APPL, V12, P735 17384 STEVENS JD, 2000, ICES J MAR SCI, V57, P476 17385 WALTERS C, 1996, REV FISH BIOL FISHER, V6, P125 17386 WALTERS CJ, 2004, FISHERIES ECOLOGY MA 17387 WATERS JR, 1986, N AM J FISH MANAGE, V6, P463 17388 NR 38 17389 TC 0 17390 PU BLACKWELL PUBLISHING 17391 PI OXFORD 17392 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 17393 SN 1467-2960 17394 J9 FISH FISH 17395 JI Fish. Fish. 17396 PD SEP 17397 PY 2007 17398 VL 8 17399 IS 3 17400 BP 196 17401 EP 210 17402 PG 15 17403 SC Fisheries 17404 GA 203FO 17405 UT ISI:000248960700003 17406 ER 17407 17408 PT J 17409 AU Wang, WM 17410 Cheung, CF 17411 Lee, WB 17412 Kwok, SK 17413 AF Wang, W. M. 17414 Cheung, C. F. 17415 Lee, W. B. 17416 Kwok, S. K. 17417 TI Knowledge-based treatment planning for adolescent early intervention of 17418 mental healthcare: a hybrid case-based reasoning approach 17419 SO EXPERT SYSTEMS 17420 LA English 17421 DT Article 17422 DE hybrid case-based reasoning; social services; mental healthcare; 17423 knowledge management; adolescent early intervention 17424 ID MEDICAL DIAGNOSIS; RISK ASSESSMENT; SYSTEM 17425 AB Treatment planning is a crucial and complex task in the social services 17426 industry. There is an increasing need for knowledge-based systems for 17427 supporting caseworkers in the decision-making of treatment planning. 17428 This paper presents a hybrid case-based reasoning approach for building 17429 a knowledge-based treatment planning system for adolescent early 17430 intervention of mental healthcare. The hybrid case-based reasoning 17431 approach combines aspects of case-based reasoning, rule-based reasoning 17432 and fuzzy theory. The knowledge base of case-based reasoning is a case 17433 base of client records consisting of documented experience while that 17434 for rule-based reasoning is a set of IF-THEN rules based on the 17435 experience of social service professionals. Fuzzy theory is adopted to 17436 deal with the uncertain nature of treatment planning. A prototype 17437 system has been implemented in a social services company and its 17438 performance is evaluated by a group of caseworkers. The results 17439 indicate that hybrid case-based reasoning has an enhanced performance 17440 and the knowledge-based treatment planning system enables caseworkers 17441 to construct more efficient treatment planning in less cost and less 17442 time. 17443 C1 Hong Kong Polytech Univ, Dept Ind & Syst Engn, Kowloon, Hong Kong, Peoples R China. 17444 RP Wang, WM, Hong Kong Polytech Univ, Dept Ind & Syst Engn, Hung Hum, 17445 Kowloon, Hong Kong, Peoples R China. 17446 EM mfbenny@inet.polyu.edu.hk 17447 CR *US DEP HLTH HUM S, 1999, MENT HLTH REP SURG G 17448 ALEXANDRINI F, 2003, P 16 IEEE S COMP BAS 17449 BICHDARITZ I, 1998, CAREPARTNER GATHERIN, P334 17450 BIRD HR, 1988, ARCH GEN PSYCHIAT, V28, P861 17451 CASANOVA A, 1995, SYSTEMS MAN CYBERNET, V3, P1986 17452 CHAN FTS, 2005, EXPERT SYST APPL, V29, P121 17453 CHANG CL, 2004, EXPERT SYST APPL, V26, P601 17454 CHANG CL, 2005, EXPERT SYST APPL, V28, P237 17455 CHEN SM, 1995, FUZZY SET SYST, V72, P79 17456 CHEUNG CF, 2003, EXPERT SYSTEMS APPL, V24, P455 17457 FERNS WJ, 1995, EXPERT SYST APPL, V9, P165 17458 FRIZE M, 2000, MED ENG PHYS, V22, P671 17459 GINGERICH WJ, 1996, COMPUTERIZATION BEHA, P14 17460 HSU CC, 2004, INFORM SCIENCES, V166, P231 17461 JAIN AF, 2001, P 33 SE S SYSTEM THE, P337 17462 KEMP DR, 1993, INT HDB MENTAL HLTH, P1 17463 KOLODNER JL, 1993, CASED BASED REASONIN 17464 KOTON P, 1988, 1 WORKSH CBR, P260 17465 LOPEZ B, 1997, ARTIF INTELL MED, V9, P29 17466 MCGEE R, 1990, J AM ACAD CHILD PSY, V29, P611 17467 NOLAN JR, 1997, EXPERT SYST APPL, V12, P465 17468 OFFORD DR, 1987, ARCH GEN PSYCHIAT, V44, P832 17469 OHUONG NH, 2001, JOINT 9 IFSA WORLD C, V2, P883 17470 SAVAGE A, 1987, ADMIN SOC WORK, V11, P127 17471 SCHMIDT R, 2001, INT J MED INFORM, V64, P355 17472 SIMON HA, 1977, NEW SCI MANAGEMENT D 17473 TRIVEDI MH, 2004, PSYCHIAT SERV, V55, P879 17474 VELEZ CN, 1989, J AM ACAD CHILD PSY, V28, P861 17475 WEST GM, 2001, POWER IND COMP APPL, P128 17476 ZADEH LA, 1965, INFORM CONTR, V8, P338 17477 ZHANG DM, 1999, IEEE INT C SYSTEMS M, V6, P318 17478 ZUBRICK SR, 1999, NAT WORKSH IND SOC F 17479 NR 32 17480 TC 0 17481 PU BLACKWELL PUBLISHING 17482 PI OXFORD 17483 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 17484 SN 0266-4720 17485 J9 EXPERT SYSTEMS 17486 JI Expert Syst. 17487 PD SEP 17488 PY 2007 17489 VL 24 17490 IS 4 17491 BP 232 17492 EP 251 17493 PG 20 17494 SC Computer Science, Artificial Intelligence; Computer Science, Theory & 17495 Methods 17496 GA 203FR 17497 UT ISI:000248961000003 17498 ER 17499 17500 PT J 17501 AU Ferencz, A 17502 Franco, EL 17503 AF Ferencz, Alex 17504 Franco, Eduardo L. 17505 TI Prophylactic human papillomavirus vaccines: potential for sea change 17506 SO EXPERT REVIEW OF VACCINES 17507 LA English 17508 DT Review 17509 DE anogenital-acrodigestivc neoplasia; cervical cancer screening; cervical 17510 intraepithelial neoplasia; efficacy; human papillomavirus; immune 17511 memory; pharmacoeconomics; prophylaxis; psychosocial counseling; 17512 respiratory papillomatosis; sexually transmitted infection; vaccines; 17513 warts 17514 ID RANDOMIZED CONTROLLED-TRIAL; CERVICAL INTRAEPITHELIAL NEOPLASIA; 17515 PARTICLE VACCINE; YOUNG-WOMEN; SUSTAINED EFFICACY; CANCER PREVENTION; 17516 HPV VACCINES; FOLLOW-UP; TYPE-16; RISK 17517 AB Persistent human papillomavirus (HPV) infection is the central cause in 17518 the development of anogenital warts, precancers and cancers of uterine 17519 cervix, and a major factor in the genesis of other malignancies of the 17520 lower anogenital and upper aerodligestive tracts. The burden of disease 17521 carries very high medical, financial and psychosocial costs. The role 17522 of prophylactic HPV vaccines in reducing the burden of disease is 17523 discussed in light of the results of multiple randomized, controlled 17524 trials conducted worldwide,in thousands of young females. The review 17525 discusses some of the issues that are still unknown, with respect to 17526 long-term vaccine performance, challenges to be overcome to achieve 17527 universal, mass prophylactic HPV vaccination, as well as the potential 17528 impact of the vaccines on primary screening for, and management of, 17529 HPV-related anogenital infection and disease. 17530 C1 Jewish Gen Hosp, Dept Pathol, Montreal, PQ H3T 1E2, Canada. 17531 RP Ferencz, A, Jewish Gen Hosp, Dept Pathol, 3755 Cote St Catherine Rd, 17532 Montreal, PQ H3T 1E2, Canada. 17533 EM alex.ferenczy@mcgill.ca 17534 CR *AM COLL OBST GYN, 2006, OBSTET GYNECOL, V107, P963 17535 *CDC, 2004, MMWR-MORBID MORTAL W, V53, P1 17536 *CDC, 2007, 56RR2 MMWR 17537 *EXP COMM BIOL STA, 2006, GUID ASS QUAL SAF EF 17538 ARDUINO JM, 2006, P 6 INT MULT C EUR R, SS20 17539 BERRY JM, 2003, FRONT BIOSCI, V8, S333 17540 BLEEKER MCG, 2006, INT J CANCER, V119, P2505 17541 BRISSON M, 2006, 23 INT PAP C CLIN WO 17542 BURCHELL AN, 2006, AM J EPIDEMIOL, V163, P534 17543 CASTLE PE, 2005, J NATL CANCER I, V97, P1066 17544 CLIFFORD GM, 2005, LANCET, V366, P991 17545 COLLINS Y, 2006, GYNECOL ONCOL, V102, P552 17546 CUZICK J, 2006, INT J CANCER, V119, P1095 17547 DAVEY E, 2006, LANCET, V367, P122 17548 DAVIS K, 2004, J LOW GENIT TRACT DI, V8, P188 17549 DEVILLIERS EM, 2004, VIROLOGY, V324, P17 17550 DRAIN PK, 2002, INT J CANCER, V100, P199 17551 DZIURA B, 2006, ACTA CYTOL, V50, P309 17552 FERENCZY A, 1997, J SOC OBSTET GYNAECO, V19, P369 17553 FRANCO EL, 2005, VACCINE, V23, P2388 17554 FRANCO EL, 2006, VACCINE S3, V24, S171 17555 FRASER C, 1927, VACCINE, V25, P4324 17556 FRAZER IH, 2006, PEDIATR INFECT DIS S, V25, S65 17557 FRENCH KM, 2007, BRIT J CANCER, V96, P514 17558 FRIEDMAN LS, 2006, J ADOLESCENT HEALTH, V39, P620 17559 GARNETT PG, 2005, J INFECT DIS, V191, S97 17560 GIANNINI SL, 2006, VACCINE, V24, P5937 17561 GOLDIE SJ, 2003, INT J CANCER, V106, P896 17562 HARPER DM, 2004, LANCET, V364, P1757 17563 HARPER DM, 2006, LANCET, V367, P1247 17564 HERRERO R, 2005, J INFECT DIS, V191, P1787 17565 INSINGA RP, 2004, AM J OBSTET GYNECOL, V191, P114 17566 KAHN J, 2005, ADOLESCENT HLTH, V37, S10 17567 KHAN MJ, 2005, J NATL CANCER I, V97, P1072 17568 KJAER SK, 2006, P 6 INT MULT C EUR R, SS21 17569 KOHLI M, 2007, BRIT J CANCER, V96, P143 17570 KOUTSKY LA, 2002, NEW ENGL J MED, V347, P1645 17571 KULASINGAM SL, 2003, JAMA-J AM MED ASSOC, V290, P781 17572 LI ML, 1997, J VIROL, V71, P2988 17573 MAO C, 2006, OBSTET GYNECOL, V107, P18 17574 MCMAHON B, 2005, ANN INTERN MED, V142, P33 17575 MENDEZ F, 2005, J INFECT DIS, V192, P1158 17576 MILLER CS, 2001, ORAL SURG ORAL MED O, V91, P622 17577 MOSCICKI AB, 2006, VACCINE S3, V24, S42 17578 MUNOZ N, 2003, NEW ENGL J MED, V348, P518 17579 MUNOZ N, 2004, INT J CANCER, V111, P278 17580 OLSHEN E, 2005, J ADOLESCENT HEALTH, V37, P248 17581 PAAVONEN J, 2006, J CLIN ONCOL, V24, P5011 17582 PARKIN DM, 2006, INT J CANCER, V118, P3030 17583 PASCUAL A, 2007, HISTOL HISTOPATHOL, V22, P177 17584 REISINGER KS, 2007, PEDIATR INFECT DIS J, V26, P201 17585 RODEN R, 2006, NAT REV CANCER, V6, P753 17586 SADLER L, 2004, JAMA-J AM MED ASSOC, V291, P2100 17587 SANKARANARAYANAN R, 2006, BEST PRACT RES CL OB, V20, P207 17588 SASLOW D, 2002, CA-CANCER J CLIN, V52, P342 17589 SCHILLER JT, 2006, CANCER RES, V66, P10229 17590 SIDDIQUI MAA, 2006, DRUGS, V66, P1263 17591 SPENCE A, 2005, AM J CANC, V4, P49 17592 SRODON M, 2006, AM J SURG PATHOL, V30, P1513 17593 STANLEY M, 2007, J CLIN PATHOL 17594 STRATTON KR, 2001, VACCINES 21 CENTURY 17595 VILLA LL, 2005, LANCET ONCOL, V6, P271 17596 VILLA LL, 2006, BRIT J CANCER, V95, P1459 17597 VILLA LL, 2006, VACCINE, V24, P5571 17598 VILLA LL, 2006, VACCINE, V24, P5571 17599 WEINSTOCK H, 2004, PERSPECT SEX REPRO H, V36, P6 17600 WIATRAK BJ, 2004, LARYNGOSCOPE S104 2, V114, P1 17601 WILL C, 2006, HISTOPATHOLOGY, V48, P605 17602 WINER RL, 2006, NEW ENGL J MED, V354, P2645 17603 WRIGHT TC, 2006, INT J GYNECOL OBS S1, V95, S239 17604 ZIMET GD, 2005, J ADOLESCENT HEALTH, V37, P179 17605 NR 71 17606 TC 0 17607 PU FUTURE DRUGS LTD 17608 PI LONDON 17609 PA UNITEC HOUSE, 3RD FL, 2 ALBERT PLACE, FINCHLEY CENTRAL, LONDON N3 1QB, 17610 ENGLAND 17611 SN 1476-0584 17612 J9 EXPERT REV VACCINES 17613 JI Expert Rev. Vaccines 17614 PD AUG 17615 PY 2007 17616 VL 6 17617 IS 4 17618 BP 511 17619 EP 525 17620 PG 15 17621 SC Immunology 17622 GA 201XV 17623 UT ISI:000248866800014 17624 ER 17625 17626 PT J 17627 AU Kim, MK 17628 Jee, KY 17629 AF Kim, Moon-Koo 17630 Jee, Kyoung-Yong 17631 TI Factors influencing strategic use of information technology and its 17632 impact on business performance of SMEs 17633 SO ETRI JOURNAL 17634 LA English 17635 DT Article 17636 DE strategic use of IT; business performance; small and medium enterprise 17637 (SME) 17638 ID COMPETITIVE ADVANTAGE; MODEL 17639 AB In this paper, we study the relationship between factors influencing 17640 the strategic use of IT and business performance by conducting a survey 17641 of small and medium-size enterprises (SMEs). From the results of our 17642 survey we came to several conclusions which are presented here. First, 17643 IT investment has a significant impact on the strategic use of IT, and 17644 the strategic use of IT has a significant impact on business 17645 performance. Second, SME investment in IT and strategic use of IT are 17646 influenced by both the intensity of competition in the market 17647 environment and partnership with other organizations. Third, the 17648 support from the management group in SMEs is a core factor for IT 17649 investment and strategic use of IT. Finally, for SNIEs to use IT 17650 strategically and successfully, it is necessary to combine members' 17651 participation with a flexible organizational structure and culture. 17652 C1 ETRI, IT Technol Strategy Res Div, Taejon, South Korea. 17653 RP Kim, MK, ETRI, IT Technol Strategy Res Div, Taejon, South Korea. 17654 EM mkkim@etri.re.kr 17655 kyjee@etri.re.kr 17656 CR BHARADWAJ AS, 2000, MIS QUART, V24, P169 17657 BHARADWAJ AS, 2000, WORKING PAPER 17658 CHAN YE, 1997, INFORM SYST RES, V8, P125 17659 CHIRCU AM, 2000, J MANAGE INFORM SYST, V17, P59 17660 CRAGG P, 2002, J STRATEGIC INF SYST, V11, P109 17661 CROTEAU AM, 2001, J STRATEGIC INF SYST, V10, P77 17662 DELONE WH, 1988, MIS Q, V12, P51 17663 GROVER V, 1993, J MANAGEMENT INFORMA, V10, P141 17664 HWANG SH, 2005, KOREAN MANAGEMENT RE, V34, P549 17665 KETTINGER WJ, 1994, MIS QUART, V18, P31 17666 KING JL, 1994, INFORM SYST RES, V5, P139 17667 KING WR, 1989, INFORM MANAGE, V17, P87 17668 KING WR, 1992, INFORM MANAGE, V23, P217 17669 MAIER JL, 1997, J MANAGEMENT INFORMA, V14, P177 17670 MEHRTENS J, 2001, INFORM MANAGE, V39, P165 17671 PARK KM, 2005, KOREA STRATEGIC MANA, V8, P113 17672 PFEFFER J, 1977, PACIFIC SOCIOLOGICAL, V20, P241 17673 POWELL TC, 1997, STRATEGIC MANAGE J, V18, P375 17674 RAVICHANDRAN T, 2002, P 23 INT C INF SYST, P577 17675 RYU KS, 2006, ETRI J, V28, P191 17676 SETHI V, 1994, MANAGE SCI, V40, P1601 17677 SICAR T, 2000, J MANAGEMENT INFORM, V16 17678 SUNG TK, 2004, J MIS RES, V14, P123 17679 THONG JYL, 1996, INFORM SYST RES, V7, P248 17680 YEON SJ, 2007, ETRI J, V29, P252 17681 NR 25 17682 TC 0 17683 PU ELECTRONICS TELECOMMUNICATIONS RESEARCH INST 17684 PI TAEJON 17685 PA 161 KAJONG-DONG, YUSONG-GU, TAEJON 305-350, SOUTH KOREA 17686 SN 1225-6463 17687 J9 ETRI J 17688 JI ETRI J. 17689 PD AUG 17690 PY 2007 17691 VL 29 17692 IS 4 17693 BP 497 17694 EP 506 17695 PG 10 17696 SC Engineering, Electrical & Electronic; Telecommunications 17697 GA 199DQ 17698 UT ISI:000248676800012 17699 ER 17700 17701 PT J 17702 AU Wang, Q 17703 Ruan, X 17704 Chen, YN 17705 Li, WH 17706 AF Wang, Q. 17707 Ruan, X. 17708 Chen, Y. N. 17709 Li, W. H. 17710 TI Eco-physiological response of Populus euphratica Oliv. to water release 17711 of the lower reaches of the Tarim River, China 17712 SO ENVIRONMENTAL GEOLOGY 17713 LA English 17714 DT Article 17715 DE Populus euphratica; Tarim River; eco-physiological response; water 17716 release 17717 ID OSMOTIC ADJUSTMENT; ABSCISIC-ACID; SALT STRESS; PROLINE; PLANTS; 17718 ACCUMULATION; CYTOKININS; MANAGEMENT; SEEDLINGS; DROUGHT 17719 AB Eco-physiological and plant performance responses and acclimation of 17720 Populus euphratica Oliv. to water release of the lower reaches of Tarim 17721 River, China were investigated. Three representative areas and 15 17722 transects were selected along the lower reaches of the Tarim River. The 17723 groundwater level and salt content as well as plant performance and the 17724 contents of proline, soluble sugar, and plant endogenous hormone (ABA, 17725 CTK) in leaves were monitored and analyzed before- and after-water 17726 release. The groundwater level was raised in different areas and 17727 transects by the water release program. The physiological stress to P. 17728 euphratica decreased after the water release. Our results suggested 17729 that the groundwater level in the studied region changed from -3.15 to 17730 -4.12 m, salt content of the groundwater from 67.15 to 72.65 mM, the 17731 proline content from 9.28 to 11.06 mM, the soluble sugar content from 17732 224.71 to 252.16 mM, the ABA content from 3.59 to 5.01 ng/(g FW), and 17733 the CK content from 4.01 to 4.56 ng/(g FW)- for the optimum growth and 17734 recover of P. euphratica indicated by the plant performance parameters, 17735 and the efficiency of water release was the highest. 17736 C1 Zhejiang Univ, Ningbo Inst Technol, Ningbo 315100, Peoples R China. 17737 Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China. 17738 RP Wang, Q, Zhejiang Univ, Ningbo Inst Technol, Ningbo 315100, Peoples R 17739 China. 17740 EM wangqiangsky@263.net 17741 CR AGUILAR ML, 2000, J EXP BOT, V51, P1861 17742 ASPINALL D, 1981, PHYSL BIOCH DROUGHT, P215 17743 BANO A, 1993, AUST J PLANT PHYSIOL, V20, P109 17744 BOGGESS SF, 1976, PLANT PHYSIOL, V58, P398 17745 BOHNERT HJ, 1995, PLANT CELL, V7, P1099 17746 CAMPALANS A, 1999, PLANT PHYSIOL BIOCH, V37, P327 17747 CHEN J, 2005, J GEN INTERN MED S1, V20, P158 17748 CHEN YN, 2003, J CHIN ACAD SCI, V3, P191 17749 CROWE JH, 1992, ANNU REV PHYSIOL, V54, P579 17750 CUSHMAN JC, 2001, AM ZOOL, V41, P758 17751 DUNGEY NO, 1982, J EXP BOT, V33, P12 17752 GUERRIER G, 1989, J PLANT PHYSIOL, V135, P330 17753 GZIK A, 1996, ENVIRON EXP BOT, V36, P29 17754 INCOLL ID, 1990, PHYSIOL PLANTARUM, V18, P941 17755 INGRAM J, 1996, ANNU REV PLANT PHYS, V47, P377 17756 MASIA A, 1994, J EXP BOT, V45, P69 17757 MATTIONI C, 1997, PHYSIOL PLANTARUM, V101, P787 17758 PILLAY I, 1990, J PLANT GROWTH REGUL, V9, P213 17759 RAGAB R, 2002, BIOSYST ENG, V81, P3 17760 RAYAPATI PJ, 1991, PLANT PHYSIOL, V95, P787 17761 REKIKA D, 1998, PHOTOSYNTHETICA, V35, P129 17762 SANCHEZ FJ, 1998, FIELD CROP RES, V59, P225 17763 SHEVYAKOVA NY, 1983, SOV PLANT PHYSIOL, V30, P587 17764 STRAUSS G, 1986, P NATL ACAD SCI USA, V83, P2422 17765 TROLL W, 1955, J BIOL CHEM, V215, P655 17766 VONK CR, 1986, PLANT GROWTH REGUL, V4, P65 17767 YANG JP, 2002, ECON, V2, P1 17768 ZHANG LY, 1997, ARID ZONE RES, V14, P16 17769 NR 28 17770 TC 0 17771 PU SPRINGER 17772 PI NEW YORK 17773 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 17774 SN 0943-0105 17775 J9 ENVIRON GEOL 17776 JI Environ. Geol. 17777 PD OCT 17778 PY 2007 17779 VL 53 17780 IS 2 17781 BP 349 17782 EP 357 17783 PG 9 17784 SC Environmental Sciences; Geosciences, Multidisciplinary; Water Resources 17785 GA 202MY 17786 UT ISI:000248907100011 17787 ER 17788 17789 PT J 17790 AU Bourassa, S 17791 Brodeur, J 17792 Carriere, Y 17793 AF Bourassa, Steeve 17794 Brodeur, Jacques 17795 Carriere, Yves 17796 TI Endophyte-grass complexes and the relationship between feeding 17797 preference and performance in a grass herbivore 17798 SO ENTOMOLOGIA EXPERIMENTALIS ET APPLICATA 17799 LA English 17800 DT Article 17801 DE Blissus leucopterus hirtus; fine fescue; fungal endophytes; Kentucky 17802 bluegrass; perennial ryegrass; tall fescue; turfgrass; Neotyphodium; 17803 Heteroptera; Lygacidae 17804 ID HAIRY CHINCH BUG; PERENNIAL RYEGRASS; FUNGAL ENDOPHYTES; KENTUCKY 17805 BLUEGRASS; TALL FESCUE; LYGAEIDAE; HEMIPTERA; RESISTANCE; HOMOPTERA; 17806 APHIDIDAE 17807 AB Overseeding non-endophytic turfgrass lawns with endophytic turfgrass is 17808 considered promising for the development of integrated pest management 17809 programs in urban landscapes. In this context, a better understanding 17810 of the variability in the preference-performance response of insect 17811 herbivores exposed to endophytic grasses could be useful to develop 17812 efficient practices. Specifically, while endophytic varieties that are 17813 strongly toxic and avoided could provide good control of mobile pests, 17814 varieties that are toxic but not avoided could be more suitable for the 17815 control of sedentary pests. In this laboratory study, we investigated 17816 how the infection of 10 grass varieties by Neotyphodium endophytes 17817 affected the feeding performance and preference of newly hatched nymphs 17818 of the hairy chinch bug, Blissus leucoptcrus hirtus Montandon 17819 (Heteroptera: Lygaeidae), a common turfgrass pest in north-eastern USA. 17820 We found that endophytes generally induced a strong relationship 17821 between feeding performance and preference in this herbivore. However, 17822 two endophytic varieties did not conform to this relationship, with one 17823 variety being highly toxic but not avoided and the other less toxic but 17824 highly avoided. These results provide a solid basis to further explore 17825 the impacts of endophytic grasses on the dispersal and survival of 17826 insect pests in mixed stands of endophytic and non-endophytic plants. 17827 C1 Univ Arizona, Dept Entomol, Tucson, AZ 85721 USA. 17828 Univ Laval, Fac Sci Agr & Alimentat, Ctr Rech Hort, Ste Foy, PQ G1K 7P4, Canada. 17829 Univ Montreal, Inst Rech Biol Vegetale, Dept Sci Biol, Montreal, PQ H1X 2B2, Canada. 17830 RP Carriere, Y, Univ Arizona, Dept Entomol, 410 Forbes Bldg, Tucson, AZ 17831 85721 USA. 17832 EM ycarrier@ag.arizona.edu 17833 CR BACON CW, 1994, BIOTECHNOLOGY ENDOPH, P47 17834 BAKER PB, 1981, ENVIRON ENTOMOL, V10, P226 17835 BERNAYS EA, 1994, HOST PLANT SELECTION 17836 BREEN JP, 1994, ANNU REV ENTOMOL, V39, P401 17837 CARRANO AV, 1998, HUM GENOME NEWS, V9, P1 17838 CHRISTIANS NE, 1994, INTEGRATED PEST MANA, P99 17839 CLAY K, 1988, COEVOLUTION FUNGI PL, P79 17840 CLAY K, 1996, RES POPUL ECOL, V38, P191 17841 CLAY K, 2002, AM NAT, V160, P99 17842 CLEMENT SL, 1992, J ECON ENTOMOL, V85, P583 17843 CLEMENT SL, 1994, BIOTECHNOLOGY ENDOPH, P186 17844 CLEMENT SL, 1997, ENTOMOL EXP APPL, V82, P275 17845 DAHLMAN DL, 1991, MICROBIAL MEDIATION, P227 17846 GOULD F, 1984, B ENTOMOL SOC AM, V30, P34 17847 KINDLER SD, 1991, J ECON ENTOMOL, V84, P685 17848 MAJEAU G, 2000, J ECON ENTOMOL, V93, P368 17849 MAJEAU G, 2000, J ECON ENTOMOL, V93, P834 17850 PENNELL CGL, 2005, NEW ZEAL J AGR RES, V48, P329 17851 POPAY AJ, 1994, INSECT PLANT INTERAC, V5, P83 17852 PRICE PW, 2003, MACROEVOLUTIONARY TH 17853 RAMSEY FL, 2002, STAT SLEUTH COURSE M 17854 RICHMOND DS, 1999, J ECON ENTOMOL, V92, P1329 17855 RICHMOND DS, 2000, J ECON ENTOMOL, V93, P1167 17856 RICHMOND DS, 2000, J ECON ENTOMOL, V93, P1662 17857 SALMINEN SO, 2002, J CHEM ECOL, V28, P939 17858 SIEGEL MR, 1984, PHYTOPATHOLOGY, V74, P937 17859 SINGER MS, 2004, AM NAT, V164, P423 17860 THOMPSON JN, 1988, ENTOMOL EXP APPL, V47, P3 17861 VALLADARES G, 1991, J ANIM ECOL, V60, P227 17862 VITTUM PJ, 1909, TURFGRASS INSECTS US 17863 NR 30 17864 TC 0 17865 PU BLACKWELL PUBLISHING 17866 PI OXFORD 17867 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 17868 SN 0013-8703 17869 J9 ENTOMOL EXP APPL 17870 JI Entomol. Exp. Appl. 17871 PD AUG 17872 PY 2007 17873 VL 124 17874 IS 2 17875 BP 221 17876 EP 228 17877 PG 8 17878 SC Entomology 17879 GA 199IL 17880 UT ISI:000248689300010 17881 ER 17882 17883 PT J 17884 AU Tralhao, JG 17885 Dagher, I 17886 Lino, T 17887 Roudie, J 17888 Franco, D 17889 AF Tralhao, J. G. 17890 Dagher, I. 17891 Lino, T. 17892 Roudie, J. 17893 Franco, D. 17894 TI Treatment of tumour recurrence after resection of hepatocellular 17895 carcinoma. Analysis of 97 consecutive patients 17896 SO EJSO 17897 LA English 17898 DT Article 17899 DE hepatocellular carcinoma; recurrence; treatment 17900 ID INTRAHEPATIC RECURRENCE; HEPATIC RESECTION; IODINE-131-LABELED 17901 LIPIODOL; PULMONARY METASTASIS; PROGNOSTIC-FACTORS; RANDOMIZED-TRIAL; 17902 LIVER RESECTION; THERAPY; TRANSPLANTATION; CIRRHOSIS 17903 AB Objective: To evaluate the long-term results of aggressive treatment of 17904 HCC recurrence. 17905 Methods: Two hundred and nine consecutive patients underwent hepatic 17906 resection for HCC in our hospital. Tumour recurrence was diagnosed in 17907 97 (51%) of the 190 patients with curative resection. Sixteen underwent 17908 hepatic resection: two right hepatectomies, one three-segmentectomy, 17909 one left hepatectomy, five two-segmentectomies, six segmental 17910 resections and one subsegmentectomy. Two patients with metastasis in 17911 the spine were submitted to a vertebral body resection. Twenty-five 17912 patients were treated with percutaneous ethanol injection or 17913 intra-arterial chemoembolization. Fifty-four patients with a poor 17914 performance status and liver function or multiple extra hepatic 17915 recurrences did not receive any treatment. 17916 Results: There were no operative deaths. The postoperative mortality 17917 rate was 5.5% (one patient). The cumulative overall survival after the 17918 second resection was respectively 89%, 46% and 31% at 1, 3 and 5 years. 17919 There was a significant difference in survival between patients treated 17920 with repeat resection and those submitted to a non-surgical or 17921 conservative treatment (p < 0.0001). There were no differences in 17922 operative deaths, postoperative mortality and morbidity between the 17923 first and second hepatic resection. 17924 Conclusions: Aggressive management with combined resection or loco 17925 regional therapy for intrahepatic recurrence and resection of isolated 17926 extra-hepatic recurrence may offer long-term survival in selected 17927 patients. Second liver resection for recurrence of HCC can be safely 17928 performed. (c) 2006 Elsevier Ltd. All rights reserved. 17929 C1 Univ Coimbra, Fac Med, Dept Surg, P-3049 Coimbra, Portugal. 17930 Hop Antoine Beclere, Fac Med, Serv Chirurgie Gen, Paris, France. 17931 Inst Syst Comp Engn, Coimbra, Portugal. 17932 RP Tralhao, JG, Univ Coimbra, Fac Med, Dept Surg, P-3049 Coimbra, Portugal. 17933 EM jglrt@hotmail.com 17934 dominique.franco@abc.aphp.fr 17935 CR ADAM R, 2003, ANN SURG, V238, P508 17936 BELGHITI J, 1991, ANN SURG, V214, P114 17937 BELGHITI J, 2003, ANN SURG, V238, P885 17938 BUTTERFIELD LH, 2004, GASTROENTEROLOGY S1, V127, S232 17939 CHA C, 2003, J AM COLL SURGEONS, V197, P753 17940 CHA CH, 2003, ANN SURG, V238, P315 17941 CHEN MF, 1994, ARCH SURG-CHICAGO, V129, P738 17942 CHEN WT, 2004, EJSO, V30, P414 17943 FRANCO D, 1990, GASTROENTEROLOGY, V98, P733 17944 KAWATA A, 1995, AM J CLIN ONCOL-CANC, V18, P257 17945 KUBO S, 2001, ANN INTERN MED, V134, P963 17946 LAM CM, 1998, BRIT J SURG, V85, P1198 17947 LAU WY, 1999, LANCET, V353, P797 17948 LO CM, 1994, BRIT J SURG, V81, P1019 17949 LYGIDAKIS NJ, 1996, HEPATO-GASTROENTEROL, V43, P1611 17950 MARINHARGREAVES G, 2003, CRIT REV ONCOL HEMAT, V47, P13 17951 NAKAJIMA J, 2005, WORLD J SURG, V29, P715 17952 NAKAJIMA Y, 2001, J AM COLL SURGEONS, V192, P339 17953 NISHIGUCHI S, 2005, INTERVIROLOGY, V48, P71 17954 OSUILLEABHAIN CB, 2004, HEPATO-GASTROENTEROL, V51, P825 17955 POON RTP, 1999, ANN SURG, V229, P216 17956 POON RTP, 2000, CANCER, V89, P500 17957 POON RTP, 2002, ANN SURG, V235, P373 17958 POON RTP, 2002, J AM COLL SURGEONS, V195, P311 17959 PUGH RNH, 1973, BRIT J SURG, V60, P646 17960 RAOUL JL, 2003, BRIT J SURG, V90, P1379 17961 SCHWARTZ JD, 2002, LANCET ONCOL, V3, P593 17962 SHUTO T, 2001, DIGEST SURG, V18, P294 17963 SUN HC, 2005, J CANCER RES CLIN, V131, P284 17964 TABONE M, 2005, HEPATOLOGY, V41, P1433 17965 TAKAYAMA T, 2000, LANCET, V356, P802 17966 YEH CN, 2002, ANN SURG ONCOL, V9, P863 17967 NR 32 17968 TC 0 17969 PU ELSEVIER SCI LTD 17970 PI OXFORD 17971 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND 17972 SN 0748-7983 17973 J9 EJSO 17974 JI EJSO 17975 PD AUG 17976 PY 2007 17977 VL 33 17978 IS 6 17979 BP 746 17980 EP 751 17981 PG 6 17982 SC Oncology 17983 GA 202WP 17984 UT ISI:000248935300015 17985 ER 17986 17987 PT J 17988 AU Reddy, CB 17989 Kanner, RE 17990 AF Reddy, Chakravarthy B. 17991 Kanner, Richard E. 17992 TI Is combination therapy with inhaled Anticholinergics and 17993 beta(2)-Adrenoceptor Agonists justified for chronic obstructive 17994 pulmonary disease? 17995 SO DRUGS & AGING 17996 LA English 17997 DT Article 17998 ID AIRWAY SMOOTH-MUSCLE; IPRATROPIUM BROMIDE; DOSE-RESPONSE; 17999 LUNG-FUNCTION; STABLE COPD; SALMETEROL XINAFOATE; EXERCISE PERFORMANCE; 18000 OXITROPIUM BROMIDE; FENOTEROL AEROSOLS; RESPIRATORY MUCOSA 18001 AB Chronic obstructive pulmonary disease (COPD) is a debilitating 18002 condition characterised by progressive, irreversible airflow 18003 limitation. The economic and social burden of the disease is enormous. 18004 The treatment of COPD is guided by the stage of the disease and is 18005 aimed primarily at control of symptoms. Bronchodilators are the 18006 cornerstone of pharmacological management of COPD. Short-acting 18007 bronchodilators (beta(2)-adrenoceptor agonists and anticholinergics) 18008 have been available for many years and have been extensively studied as 18009 individual agents and in combination. When administered in combination, 18010 short-acting bronchodilators provide superior bronchodilation compared 18011 with individual agents given alone. However, the improvement in 18012 bronchodilation does not translate into an improvement in 18013 quality-of-life (QOL) indices. More recently, long-acting 18014 beta(2)-adrenoceptor agonists (LABAs) and anticholinergics have been 18015 introduced, and current guidelines recommend regular use of these 18016 agents in COPD of Global initiative for chronic Obstructive Lung 18017 Disease (GOLD) stage Id or more. Combining shortacting anticholinergics 18018 with LABAs for daily use has been evaluated, but this combination does 18019 not confer any advantage in terms of subjective improvement or 18020 prevention of exacerbations. Combining the long-acting anticholinergic 18021 tiotropium bromide with formoterol given once or twice daily improves 18022 airway obstruction and hyperinflation. However, the effects of 18023 combinations of long-acting bronchodilators on patients' symptom 18024 scores, QOL and exacerbations remain to be studied. Ultra-LABAs, which 18025 are in development, may enable use of a combination of long-acting 18026 bronchodilators in a single inhaler for once-daily use, thus 18027 simplifying the regimen. 18028 C1 Univ Utah, Hlth Sci Ctr, Dept Med, Div Resp Crit Care & Occupat Pulm Med, Salt Lake City, UT 84132 USA. 18029 RP Reddy, CB, Univ Utah, Hlth Sci Ctr, Dept Med, Div Resp Crit Care & 18030 Occupat Pulm Med, 26 N,1900 E,701 Wintrobe Bldg, Salt Lake City, UT 18031 84132 USA. 18032 EM chakravarthy.reddy@hsc.utah.edu 18033 CR *AM THOR SOC, 1995, AM J RESP CRIT CARE, V152, P77 18034 *BRIT THOR SOC, 1997, THORAX S5, V52, P1 18035 *NIH NAT HEART LUN, 2006, GLOB IN CHRON OBSTR 18036 ANTHONISEN NR, 1994, JAMA-J AM MED ASSOC, V272, P1497 18037 ANTHONISEN NR, 2002, AM J RESP CRIT CARE, V166, P333 18038 ANTO JM, 2001, EUR RESPIR J, V17, P982 18039 AUERBACH D, 1997, CHEST, V112, P1514 18040 BARNES PJ, 1983, AM REV RESPIR DIS, V127, P758 18041 BARNES PJ, 1995, AM J RESP CRIT CARE, V152, P838 18042 BELLAMY D, 1981, BR J DIS CHEST, V75, P190 18043 BENAYOUN S, 2001, CHEST, V119, P85 18044 BLOEMEN PGM, 1997, AM J PHYSIOL-LUNG C, V272, L580 18045 BOLTON PB, 1997, AM J RESP CRIT CARE, V155, P1428 18046 BONE R, 1994, CHEST, V105, P1411 18047 BOWDEN JJ, 1994, J APPL PHYSIOL, V77, P397 18048 BRUSASCO V, 2003, THORAX, V58, P399 18049 CAMPBELL S, 1999, ARCH INTERN MED, V159, P156 18050 CASABURI R, 2002, EUR RESPIR J, V19, P217 18051 CAZZOLA M, 1999, RESP MED, V93, P909 18052 CAZZOLA M, 1999, THORAX, V54, P1083 18053 CAZZOLA M, 2004, PULM PHARMACOL THER, V17, P35 18054 CAZZOLA M, 2004, RESP MED, V98, P1214 18055 COCKCROFT DW, 1996, THORAX, V51, P1051 18056 DAHL R, 2001, AM J RESP CRIT CARE, V164, P778 18057 DONOHUE JF, 2002, CHEST, V122, P47 18058 DOWLING RB, 1997, AM J RESP CRIT CARE, V155, P327 18059 DOWLING RB, 1998, EUR RESPIR J, V11, P86 18060 DURZO AD, 2001, CHEST, V119, P1347 18061 EASTON PA, 1986, NEW ENGL J MED, V315, P735 18062 FRIEDMAN M, 1999, CHEST, V115, P635 18063 GROSS N, 1998, RESPIRATION, V65, P354 18064 GUYATT GH, 1987, AM REV RESPIR DIS, V135, P1069 18065 HARRIS T, 1999, AM J RESP CRIT CAR S, V159, A530 18066 HUGHES JA, 1982, THORAX, V37, P667 18067 HUHTI E, 1986, RESPIRATION S2, V50, P298 18068 HUNNINGHAKE GW, 1983, AM REV RESPIR DIS, V128, P833 18069 IKEDA A, 1995, CHEST, V107, P401 18070 IKEDA A, 1996, THORAX, V51, P48 18071 IMHOF E, 1993, RESPIRATION, V60, P84 18072 ISRAEL E, 2000, AM J RESP CRIT CARE, V162, P75 18073 JEFFERY PK, 2001, AM J RESP CRIT CARE, V164, P28 18074 KONERMANN M, 2001, CLIN DRUG INVEST, V21, P235 18075 LEVIN CD, 1996, AM J MED S1A, V100, S40 18076 LOPEZ AD, 2006, EUR RESPIR J, V27, P397 18077 MAHLER DA, 1999, CHEST, V115, P957 18078 MAJO J, 2001, EUR RESPIR J, V17, P946 18079 MAN WDC, 2004, THORAX, V59, P471 18080 MANNINO DM, 2002, CHEST, V121, P121 18081 MARTIN RJ, 1999, CHEST, V115, P1338 18082 MATERA MG, 1996, RESP MED, V90, P497 18083 MURRAY CJL, 1996, GLOBAL BURDEN DIS CO 18084 MURRAY CJL, 1996, SCIENCE, V274, P740 18085 MURRAY CJL, 1997, LANCET, V349, P1498 18086 NELSON HS, 1995, NEW ENGL J MED, V333, P499 18087 ODONNELL DE, 1999, AM J RESP CRIT CARE, V160, P542 18088 ODONNELL DE, 2001, AM J RESP CRIT CARE, V164, P770 18089 ODONNELL DE, 2004, EUR RESPIR J, V23, P832 18090 ODRISCOLL BRC, 1992, RESP MED, V86, P33 18091 OSHAUGHNESSY TC, 1997, AM J RESP CRIT CARE, V155, P852 18092 OTTONELLO L, 1996, CLIN EXP IMMUNOL, V106, P97 18093 RENNARD SI, 1996, CHEST, V110, P62 18094 RENNARD SI, 2001, AM J RESP CRIT CARE, V163, P1087 18095 SAETTA M, 1998, AM J RESP CRIT CARE, V157, P822 18096 SALPETER SR, 2006, ANN INTERN MED, V144, P904 18097 SALPETER SR, 2006, J GEN INTERN MED, V21, P1011 18098 SERRA C, 1986, RESPIRATION S2, V50, P144 18099 SICHLETIDIS L, 1999, INT J CLIN PRACT, V53, P185 18100 SULLIVAN SD, 2000, CHEST S, V117, P5 18101 TANG OT, 1984, POSTGRAD MED J, V60, P24 18102 TASHKIN DP, 1996, AM J MED 1A, V100, S62 18103 TETLEY TD, 2002, CHEST S, V121, S156 18104 TOBIN MJ, 1984, EUR J RESPIR DIS, V65, P441 18105 TOEWS ML, 2005, P AM THORAC SOC, V2, P282 18106 TOMLINSON PR, 1994, BRIT J PHARMACOL, V111, P641 18107 TOMLINSON PR, 1995, BIOCHEM PHARMACOL, V49, P1809 18108 VANNOORD JA, 2000, EUR RESPIR J, V15, P878 18109 VANNOORD JA, 2003, AM J RESP CRIT CARE, V167, S95 18110 VANNOORD JA, 2005, EUR RESPIR J, V26, P214 18111 VANNOORD JA, 2006, CHEST, V129, P509 18112 VINCKEN W, 2002, EUR RESPIR J, V19, P209 18113 WADBO M, 2002, EUR RESPIR J, V20, P1138 18114 WECHSLER ME, 2006, AM J RESP CRIT CARE, V173, P519 18115 NR 82 18116 TC 0 18117 PU ADIS INT LTD 18118 PI AUCKLAND 18119 PA 41 CENTORIAN DR, PRIVATE BAG 65901, MAIRANGI BAY, AUCKLAND 1311, NEW 18120 ZEALAND 18121 SN 1170-229X 18122 J9 DRUG AGING 18123 JI Drugs Aging 18124 PY 2007 18125 VL 24 18126 IS 8 18127 BP 615 18128 EP 628 18129 PG 14 18130 SC Geriatrics & Gerontology; Pharmacology & Pharmacy 18131 GA 203WT 18132 UT ISI:000249005400001 18133 ER 18134 18135 PT J 18136 AU Alvarez, A 18137 Lokeshwar, VB 18138 AF Alvarez, Alonso 18139 Lokeshwar, Vinata B. 18140 TI Bladder cancer biomarkers: current developments and future 18141 implementation 18142 SO CURRENT OPINION IN UROLOGY 18143 LA English 18144 DT Review 18145 DE bladder cancer; diagnosis; surveillance; tumor markers; urothelial 18146 carcinoma 18147 ID IN-SITU HYBRIDIZATION; TRANSITIONAL-CELL CARCINOMA; TRANSCRIPTASE 18148 MESSENGER-RNA; NEGATIVE URINE CYTOLOGY; UROTHELIAL CARCINOMA; 18149 TUMOR-TISSUE; MICROSATELLITE ANALYSIS; PROMOTER METHYLATION; HYAL1 18150 HYALURONIDASE; TELOMERASE ACTIVITY 18151 AB Purpose of review Bladder cancer biomarker development has advanced 18152 significantly over the last decade, but has not yet been able to make a 18153 significant impact in the diagnosis and management of the disease. Many 18154 available markers are suitable, but do not meet the expectations of 18155 physicians and patients. Patients do not want to compromise accuracy in 18156 diagnosing bladder cancer for less-invasive tests. The review 18157 highlights the latest developments in bladder cancer biomarkers, 18158 including markers developed over the last year, and comments on the 18159 high standards placed on these markers which have delayed their 18160 widespread implementation into the urologic field. 18161 Recent findings New markers described in the last year include soluble 18162 Fas, urothelial carcinoma-associated 1 and human chorionic gonadotropin 18163 P type 11 genes. The latter two markers represent the contribution of 18164 genomic technology to this field. Also described are updates to known 18165 markers, including long-term follow-up of hematuria screening, recent 18166 studies in DNA methylation for bladder cancer diagnosis and patient 18167 perspectives on bladder tumor markers. 18168 Summary Biomarkers for bladder cancer have been intensively scrutinized 18169 over the last decade, but despite new findings and good performance 18170 characteristics, they are currently not accepted in clinical practice. 18171 C1 Univ Miami, Miller Sch Med, Dept Urol, Sylvester Comprehens Canc Ctr, Miami, FL 33101 USA. 18172 Univ Miami, Miller Sch Med, Dept Cell Biol & Anat, Sylvester Comprehens Canc Ctr, Miami, FL 33101 USA. 18173 RP Lokeshwar, VB, Univ Miami, Miller Sch Med, Dept Urol, Sylvester 18174 Comprehens Canc Ctr, M-800,POB 016960, Miami, FL 33101 USA. 18175 EM vlokeshw@med.miami.edu 18176 CR ABOUGHALIA AH, 2006, ARCH MED RES, V37, P109 18177 BARTOLETTI R, 2005, ONCOL REP, V13, P531 18178 BARTOLETTI R, 2006, J UROLOGY, V175, P2032 18179 BARTOLETTR R, 2006, J UROLOGY, V175, P2037 18180 BERGER AP, 2002, EUR UROL, V41, P532 18181 BIALKOWSKAHOBRZANSKA H, 2000, MOL DIAGN, V5, P267 18182 BIAN W, 2007, INT J UROL, V14, P108 18183 BLACK PC, 2006, J CLIN ONCOL, V24, P5528 18184 BOTTEMAN MF, 2003, PHARMACOECONOMICS, V21, P1315 18185 CELIS JE, 2003, CANCER CELL, V3, P9 18186 CLARK SJ, 2002, ONCOGENE, V21, P5380 18187 DALBAGNI G, 1997, CLIN CANCER RES, V3, P1593 18188 DEKOK JB, 2000, CLIN CHEM, V46, P2014 18189 DEKOK JB, 2000, INT J CANCER, V87, P217 18190 DHAWAN D, 2006, J PATHOL, V209, P336 18191 EISSA S, 2005, CANCER, V103, P1356 18192 FERNANDEZGOMEZ J, 2007, EUR UROL, V51, P1267 18193 FRIEDRICH MG, 2003, BJU INT, V92, P911 18194 FRIGERIO S, 2007, INT J CANCER, V121, P329 18195 GOESSL C, 2002, EUR UROL, V41, P668 18196 GOLSHANI R, 2007, INT J CANCER, V120, P1712 18197 GROSSMAN HB, 2006, JAMA-J AM MED ASSOC, V295, P299 18198 HALLING KC, 2000, J UROLOGY, V164, P1768 18199 HALLING KC, 2002, J UROLOGY, V167, P2001 18200 HOQUE MO, 2006, J NATL CANCER I, V98, P996 18201 HOTAKAINEN K, 2007, TUMOR BIOL, V28, P52 18202 ISURUGI K, 2002, J UROLOGY 1, V168, P1574 18203 JEMAL A, 2007, CA-CANCER J CLIN, V57, P43 18204 JUNKER K, 2006, CYTOGENET GENOME RES, V114, P279 18205 KARAM JA, 2007, LANCET ONCOL, V8, P128 18206 KENNEY DM, 2007, TUMOR BIOL, V28, P57 18207 KRAMER M, 2007, AM UR ASS ANN M AN, V81 18208 KUMAR A, 2006, JPN J CLIN ONCOL, V36, P172 18209 LODDE M, 2006, UROLOGY, V67, P950 18210 LOKESHWAR VB, 2001, J UROLOGY, V165, P1067 18211 LOKESHWAR VB, 2004, AM CANC SOC ATLAS CL, P160 18212 LOKESHWAR VB, 2005, CANCER RES, V65, P2243 18213 LOKESHWAR VB, 2005, CANCER RES, V65, P7782 18214 LOKESHWAR VB, 2005, UROLOGY S, V66, P35 18215 LOKESHWAR VB, 2006, UROL ONCOL-SEMIN ORI, V24, P528 18216 MALKOWICZ SB, 2007, UROLOGY 1A, V69, P3 18217 MELISSOURGOS N, 2003, UROLOGY, V62, P362 18218 MESSING EM, 1995, UROLOGY, V45, P387 18219 MESSING EM, 2006, CANCER, V107, P2173 18220 MIAN C, 2006, J CLIN PATHOL, V59, P984 18221 MUNRO NP, 2006, INT J CANCER, V119, P2642 18222 MYERSIRVIN JM, 2005, CANCER RES, V65, P7145 18223 NIELSEN ME, 2006, WORLD J UROL, V24, P499 18224 ORNTOFT TF, 2006, CURR OPIN UROL, V16, P377 18225 PU RT, 2006, ACTA CYTOL, V50, P499 18226 SALZ W, 2005, CANCER RES, V65, P3531 18227 SANCHEZCARBAYO M, 2006, AM J PATHOL, V168, P93 18228 SANCHINI MA, 2005, JAMA-J AM MED ASSOC, V294, P2052 18229 SAROSDY MF, 2002, J UROLOGY, V168, P1950 18230 SHARIAT SF, 2004, J UROLOGY 1, V171, P626 18231 SHARIAT SF, 2007, CANCER, V109, P1106 18232 SHARP JD, 2002, FRONT BIOSCI, V7, P36 18233 SKACEL M, 2003, J UROLOGY, V169, P2101 18234 SROUGI M, 2004, J UROL S4, V171, P71 18235 SVATEK RS, 2006, CANCER, V106, P1701 18236 TRITSCHLER S, 2007, EUR UROL, V51, P403 18237 TURYN J, 2006, ONCOL REP, V15, P259 18238 VANLE TS, 2004, CLIN CANCER RES, V10, P1384 18239 WAKUI M, 2000, INT J UROL, V7, P248 18240 WANG XS, 2006, CLIN CANCER RES, V12, P4851 18241 WEIKERT S, 2005, INT J CANCER, V116, P100 18242 WITTKE S, 2007, UROLOGE A 18243 YODER BJ, 2007, AM J CLIN PATHOL, V127, P295 18244 YOSSEPOWITCH O, 2007, J UROLOGY, V177, P1277 18245 NR 69 18246 TC 0 18247 PU LIPPINCOTT WILLIAMS & WILKINS 18248 PI PHILADELPHIA 18249 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 18250 SN 0963-0643 18251 J9 CURR OPIN UROL 18252 JI Curr. Opin. Urol. 18253 PD SEP 18254 PY 2007 18255 VL 17 18256 IS 5 18257 BP 341 18258 EP 346 18259 PG 6 18260 SC Urology & Nephrology 18261 GA 206MS 18262 UT ISI:000249188200010 18263 ER 18264 18265 PT J 18266 AU Tang, Z 18267 Weavind, L 18268 Mazabob, J 18269 Thomas, EJ 18270 Chu-Weininger, MYL 18271 Johnson, TR 18272 AF Tang, Zhihua 18273 Weavind, Liza 18274 Mazabob, Janine 18275 Thomas, Eric J. 18276 Chu-Weininger, Ming Ying L. 18277 Johnson, Todd R. 18278 TI Workflow in intensive care unit remote monitoring: A time-and-motion 18279 study 18280 SO CRITICAL CARE MEDICINE 18281 LA English 18282 DT Article 18283 DE workflow; task analysis; interruption; time-and-motion study; intensive 18284 care unit remote monitoring; telemedicine 18285 ID INFORMATION; SYSTEMS; ERRORS 18286 AB Objective: To investigate workflow in intensive care unit remote 18287 monitoring, a technology-driven practice that allows critical care 18288 specialists to perform proactive and continuous patient care from a 18289 remote site. 18290 Design: A time-and-motion study. 18291 Setting: Facility that remotely monitored 132 beds in nine intensive 18292 care units. 18293 Participants: Six physicians and seven registered nurses. 18294 Interventions: Participants were observed for 47 and 39 hrs, 18295 respectively. 18296 Measurements and Main Results: Clinicians' workflow was analyzed as 18297 goal-oriented tasks and activities. Major variables of interest 18298 included the times spent on different types of tasks and activities, 18299 the frequencies of accessing various information resources, and the 18300 occurrence and management of interruptions in workflow. Physicians 18301 spent 70%, 3%, 3%, and 24% of their time on patient monitoring, 18302 collaboration, system maintenance, and administrative/social/personal 18303 tasks, respectively. For nurses, the time allocations were 46%, 3%, 4%, 18304 and 17%, respectively. Nurses spent another 30% of their time 18305 maintaining health records. In monitoring patients, physicians spent 18306 more percentage times communicating with others than the nurses (13% 18307 vs. 7%, p =.026) and accessed the in-unit clinical information system 18308 more frequently (42 vs. 14 times per hour, p =.027), while nurses spent 18309 more percentage times monitoring real-time vitals (16% vs. 2%, p 18310 =.012). Physicians' and nurses' workflows were interrupted at a rate of 18311 2.2 and 7.5 times per hour (p <.001), with an average duration of 101 18312 and 45 secs, respectively (p =.006). The sources of interruptions were 18313 significantly different for physicians and nurses (p <.001). 18314 Conclusions. Physicians' and nurses' task performance and information 18315 utilization reflect the distributed nature of work organization in 18316 intensive care unit remote monitoring. Workflow interruption, clinical 18317 information system usability, and collaboration with bedside caregivers 18318 are the major issues that may affect the quality and efficiency of 18319 clinicians' work in this particular critical care setting. 18320 C1 Univ Texas, Ctr Hlth Sci, Sch Hlth Informat Sci, Houston, TX USA. 18321 Univ Texas, Ctr Hlth Sci, Sch Med, Houston, TX USA. 18322 Mem Hermann Hosp Syst, Houston, TX USA. 18323 RP Tang, Z, Univ Texas, Ctr Hlth Sci, Sch Hlth Informat Sci, Houston, TX 18324 77225 USA. 18325 EM Zhihua.Tang@uth.tmc.edu 18326 CR BRIXEY JJ, 2005, P AMIA S, P86 18327 CELI LA, 2001, CRIT CARE MED S, V29, N183 18328 FLYNN EA, 1999, AM J HEALTH-SYST PH, V56, P1319 18329 KELLEY MA, 2004, CHEST, V125, P1514 18330 KOPPEL R, 2005, JAMA-J AM MED ASSOC, V293, P1197 18331 MILLER GA, 1956, PSYCHOL REV, V63, P81 18332 PRONOVOST PJ, 2002, JAMA-J AM MED ASSOC, V288, P2151 18333 ROSENFELD BA, 2000, CRIT CARE MED, V28, P3925 18334 ZHANG JJ, 2005, J BIOMED INFORM, V38, P1 18335 NR 9 18336 TC 1 18337 PU LIPPINCOTT WILLIAMS & WILKINS 18338 PI PHILADELPHIA 18339 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 18340 SN 0090-3493 18341 J9 CRIT CARE MED 18342 JI Crit. Care Med. 18343 PD SEP 18344 PY 2007 18345 VL 35 18346 IS 9 18347 BP 2057 18348 EP 2063 18349 PG 7 18350 SC Critical Care Medicine 18351 GA 204JB 18352 UT ISI:000249038700007 18353 ER 18354 18355 PT J 18356 AU Sekino, M 18357 Hara, M 18358 AF Sekino, M. 18359 Hara, M. 18360 TI Individual assignment tests proved genetic boundaries in a species 18361 complex of Pacific abalone (genus Haliotis) 18362 SO CONSERVATION GENETICS 18363 LA English 18364 DT Article 18365 DE microsatellite; mitochondrial DNA; cross-species amplification; 18366 assignment test; species complex 18367 ID MICROSATELLITE DNA MARKERS; POPULATION-STRUCTURE; EVOLUTIONARY 18368 CONSERVATION; MULTILOCUS GENOTYPES; NATURAL-POPULATIONS; 18369 MITOCHONDRIAL-DNA; CRASSOSTREA-GIGAS; CICHLID FISHES; DISCUS-HANNAI; 18370 NEW-ZEALAND 18371 AB We conducted this study to find genetic evidence to distinguish the 18372 members of Pacific abalone species complex (Haliotis discus hannai, H. 18373 discus discus, H. madaka, and H. gigantea) based on microsatellite DNA 18374 markers, illustrating the potential of microsatellites for 18375 species-assignment. First, we addressed the transferability of H. 18376 discus hannai microsatellites to the three other members of Pacific 18377 abalone and five additional species (H. diversicolor aquatilis, H. 18378 midae, H. corrugata, H. fulgens, and H. rubra). Second, using the 18379 microsatellites we applied two types of individual assignment testing 18380 (the distance-based assignment and Bayesian model-based clustering) to 18381 individuals from the Pacific abalone species. A total of 24 18382 microsatellites were subjected to PCR trials for nine Haliotis species, 18383 and the cross-species amplification performance of these markers turned 18384 out to drop precipitously even for less divergent congeners. Within the 18385 Pacific abalone species complex, four of the 24 markers were not 18386 transferable to H. gigantea, suggesting a solid genetic boundary 18387 between H. gigantea and H. discus hannai, H. discus discus, and H. 18388 madaka. Among the three latter abalones, both assignment tests achieved 18389 approximately 90% or more success rate of assignment. The feasibility 18390 of the microsatellite markers to classify species sheds light on the 18391 genetic management of the Pacific abalone species complex. 18392 C1 Fisheries Res Agcy, Tohoku Natl Fisheries Res Inst, Coastal Fisheries & Aquaculture Div, Shiogama, Miyagi 9850001, Japan. 18393 Natl Res Inst Aquaculture, Farming Biol Div, Watarai, Mie 5160193, Japan. 18394 RP Sekino, M, Fisheries Res Agcy, Tohoku Natl Fisheries Res Inst, Coastal 18395 Fisheries & Aquaculture Div, 3-27-5 Shinhama, Shiogama, Miyagi 9850001, 18396 Japan. 18397 EM sekino@affrc.go.jp 18398 CR AN HS, 2005, MAR BIOTECHNOL, V7, P373 18399 ANGERS B, 1997, MOL BIOL EVOL, V14, P230 18400 AULT JS, 1985, J WORLD MARICULTURE, V16, P398 18401 BANKS MA, 2003, BIOINFORMATICS, V19, P1436 18402 BARLUENGA M, 2004, MOL ECOL, V13, P2061 18403 BERNATCHEZ L, 1994, CAN J FISH AQUAT S1, V51, P240 18404 BERNATCHEZ L, 2000, CAN J FISH AQUAT SCI, V57, P1 18405 BOWCOCK AM, 1994, NATURE, V368, P455 18406 BROOKFIELD JFY, 1996, MOL ECOL, 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18470 RANNALA B, 1997, P NATL ACAD SCI USA, V94, P9197 18471 RAYMOND M, 1995, J HERED, V86, P248 18472 RICO C, 1996, P ROY SOC LOND B BIO, V263, P549 18473 ROQUES S, 1999, MOL ECOL, V8, P1703 18474 ROSENBAUM HC, 1998, MOL APPROACHES ECOLO, P87 18475 SAITOU N, 1987, MOL BIOL EVOL, V4, P406 18476 SAMBROOK J, 1989, MOL CLONING LAB MANU 18477 SCHLOTTERER C, 1991, NATURE, V354, P63 18478 SCHNEIDER S, 2000, ARLEQUIN SOFTWARE PO 18479 SEFC KM, 2001, MOL ECOL NOTES, V1, P252 18480 SEKINO M, 2003, MAR BIOTECHNOL, V5, P227 18481 SEKINO M, 2005, AQUACULTURE, V243, P33 18482 SHRIVER MD, 1997, AM J HUM GENET, V60, P957 18483 SMOUSE PE, 1998, J HERED, V89, P143 18484 STREIT K, 2006, J MOLLUS STUD 1, V72, P105 18485 VANOOSTERHOUT C, 2004, MOL ECOL NOTES, V4, P535 18486 WEIR BS, 1984, EVOLUTION, V38, P1358 18487 WHITTON J, 1997, THEOR APPL GENET, V101, P1282 18488 WILSON NHF, 1995, MAR FRESHWATER RES, V46, P629 18489 ZARDOYA R, 1996, P ROY SOC LOND B BIO, V263, P1589 18490 ZHANG DX, 2003, MOL ECOL, V12, P563 18491 NR 93 18492 TC 0 18493 PU SPRINGER 18494 PI DORDRECHT 18495 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 18496 SN 1566-0621 18497 J9 CONSERV GENET 18498 JI Conserv. Genet. 18499 PD AUG 18500 PY 2007 18501 VL 8 18502 IS 4 18503 BP 823 18504 EP 841 18505 PG 19 18506 SC Biodiversity Conservation; Genetics & Heredity 18507 GA 193UJ 18508 UT ISI:000248300300006 18509 ER 18510 18511 PT J 18512 AU Folan, P 18513 Browne, J 18514 Jagdev, H 18515 AF Folan, Paul 18516 Browne, Jim 18517 Jagdev, Harinder 18518 TI Performance: Its meaning and content for today's business research 18519 SO COMPUTERS IN INDUSTRY 18520 LA English 18521 DT Article 18522 DE performance; performance management; performance assessments; 18523 performance measurement 18524 C1 Matl Univ Ireland, CIMRU, Galway, Ireland. 18525 Univ Manchester, Sch Informat, Manchester M60 1QD, Lancs, England. 18526 RP Folan, P, Matl Univ Ireland, CIMRU, Galway, Ireland. 18527 EM paul.folan@nuigalway.ie 18528 jimmie.browvne@nuigalway.ie 18529 hjagdev@manchester.ac.uk 18530 NR 0 18531 TC 0 18532 PU ELSEVIER SCIENCE BV 18533 PI AMSTERDAM 18534 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 18535 SN 0166-3615 18536 J9 COMPUT IND 18537 JI Comput. Ind. 18538 PD SEP 18539 PY 2007 18540 VL 58 18541 IS 7 18542 BP 605 18543 EP 620 18544 PG 16 18545 SC Computer Science, Interdisciplinary Applications 18546 GA 202DA 18547 UT ISI:000248881000002 18548 ER 18549 18550 PT J 18551 AU Cavalieri, S 18552 Terzi, S 18553 Macchi, M 18554 AF Cavalieri, Sergio 18555 Terzi, Sergio 18556 Macchi, Marco 18557 TI A Benchmarking Service for the evaluation and comparison of scheduling 18558 techniques 18559 SO COMPUTERS IN INDUSTRY 18560 LA English 18561 DT Article 18562 DE scheduling evaluation; Benchmarking; performance measurement; plant 18563 management 18564 ID MANUFACTURING SYSTEMS; PERFORMANCE; ARCHITECTURES; UNCERTAINTY; 18565 FRAMEWORK; DESIGN 18566 AB Scheduling decisions constitute the last decision-making phase of the 18567 production planning and control process. From the industrial side, the 18568 adoption of highly reactive and efficient scheduling and control 18569 systems strongly affects the level of productivity and utilization of a 18570 manufacturing system, particularly under the pressure of shortened 18571 product cycles, reduced batch sizes and a broader variety of items to 18572 be produced. In the meanwhile, from the research side, there has been a 18573 considerable amount of works done in the area of manufacturing systems 18574 control, even if they still remain "unheard voices" in industry. Hence, 18575 in the scheduling world there is a risk of miscommunication between 18576 academics and industrial users. 18577 Aim of the paper is to provide a comprehensive view of the rationale, 18578 the conceptual model, the development efforts and first applicative 18579 experiences of the Benchmarking Service, a research initiative which 18580 has been carried out within the activities of the Special Interest 18581 Group on Benchmarking and Performance Measurement of the IMS Network of 18582 Excellence. In particular, the paper details the PMS-ESS conceptual 18583 framework developed for assessing the level of quality of a scheduling 18584 solution in terms of efficiency, robustness and flexibility. (c) 2007 18585 Elsevier B.V. All rights reserved. 18586 C1 Univ Bergamo, Dept Ind Engn, Dalmine, BG, Italy. 18587 Politecn Milan, Dept Econ Management & Ind Engn, I-20133 Milan, Italy. 18588 RP Cavalieri, S, Univ Bergamo, Dept Ind Engn, Dalmine, BG, Italy. 18589 EM sergio.cavalieri@unibg.it 18590 sergio.terzi@unibg.it 18591 marco.macchi@polimi.it 18592 CR *IMS NOE NETW EXC, PROJ REF IST 2001 65 18593 *SUPPL CHAIN COUNC, 2006, SUPPL CHAIN OP REF M 18594 ADOBE SVG, 2003, SCALABLE VECTOR GRAP 18595 ALI S, 2003, P 17 INT PAR DISTR P 18596 AYTUG H, 2005, EUR J OPER RES, V161, P86 18597 BONGAERTS L, 1999, P 2 INT WORKSH INT M, P167 18598 CAVALIERI S, 2000, COMPUT IND, V43, P139 18599 CAVALIERI S, 2003, J INTELL MANUF, V14, P43 18600 CAVALIERI S, 2006, INT J MANUFACTURING, V8, P248 18601 DANIELS RL, 1995, MANAGE SCI, V41, P363 18602 GARETTI M, 1995, RE ENG ENTERPRISE 18603 GOREN S, 2002, THESIS BILKENT U ANK 18604 HANKS S, 1993, AI MAG, V14, P17 18605 JENSEN MT, 2001, THESIS U AARHUS DENM 18606 KAPLAN RS, 1992, BALANCED SCORECARD M, P71 18607 KEMPF K, 2000, COMPUT IND, V42, P203 18608 KIM GT, 1997, INT J PROD ECON, V50, P23 18609 LIU CK, 1998, COMPUT IND ENG, V1, P113 18610 MIGNON DJ, 1995, COMPUT CHEM ENG S, V19, S615 18611 QUELHADJ D, 2003, P IEEE INT C ROB AUT 18612 RABELO RJ, 1994, ROBOT CIM-INT MANUF, V11, P303 18613 RABELO RJ, 1996, STUDIES INFORMATICS, V5, P89 18614 TERZI S, 2003, P 3 INT WORKSH PERF, P155 18615 VANDYKE P, 1993, IND TECHNOLOGY I ITI, P93 18616 VIEIRA GE, 2003, J SCHED, V6, P39 18617 WHITE GP, 1996, INT J OPER PROD MAN, V16, P42 18618 NR 26 18619 TC 0 18620 PU ELSEVIER SCIENCE BV 18621 PI AMSTERDAM 18622 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 18623 SN 0166-3615 18624 J9 COMPUT IND 18625 JI Comput. Ind. 18626 PD SEP 18627 PY 2007 18628 VL 58 18629 IS 7 18630 BP 656 18631 EP 666 18632 PG 11 18633 SC Computer Science, Interdisciplinary Applications 18634 GA 202DA 18635 UT ISI:000248881000006 18636 ER 18637 18638 PT J 18639 AU Nudurupati, S 18640 Arshad, T 18641 Tumer, T 18642 AF Nudurupati, Sai 18643 Arshad, Tanweer 18644 Tumer, Trevor 18645 TI Performance measurement in the construction industry: An action case 18646 investigating manufacturing methodologies 18647 SO COMPUTERS IN INDUSTRY 18648 LA English 18649 DT Article 18650 DE performance measurement system; construction industry; key performance 18651 indicators; strategy map; management information systems 18652 ID MEASUREMENT SYSTEM-DESIGN; MANAGEMENT; EVOLUTION 18653 AB There has been a lot of research focused on performance measurement in 18654 general. In the last few decades a number of successful studies were 18655 reported in implementing performance measurement. However, very few 18656 studies were reported on performance measurement in businesses 18657 operating in construction industry. Hence the objective of this paper 18658 is to implement performance measurement in a business operating in the 18659 construction sector using action research. This study has shown that by 18660 introducing small changes in the construction industry through a 18661 structured performance measurement system (PMS) with appropriate 18662 management information systems (MIS), there are significant 18663 improvements such as successfully addressing all stakeholder 18664 requirements, focusing on critical improvement areas as well as 18665 bringing cultural changes (proactive management and decision making). 18666 (c) 2007 Elsevier B.V. All rights reserved. 18667 C1 Univ Strathclyde, DMEM, Ctr Strateg Mfg, Glasgow G1 1XJ, Lanark, Scotland. 18668 RP Nudurupati, S, Univ Strathclyde, DMEM, Ctr Strateg Mfg, James Weir 18669 Bldg,75 Montrose St, Glasgow G1 1XJ, Lanark, Scotland. 18670 EM sai.nudurupati@strath.ac.uk 18671 CR ADAIR CE, 2003, PERFORMANCE MEASUREM 18672 ATKINS WS, 1994, STRATEGIES EUROPEAN 18673 BEATHAM S, 2004, BENCHMARKING, V11, P93 18674 BITICI US, 48174 GRK 18675 BITITCI U, 2002, USING PERFORMANCE ME, V81, P230 18676 BITITCI US, 2002, INT J OPER PROD MAN, V22, P1273 18677 BOURNE M, 1998, MANUFACTURING ENG, V77, P109 18678 BOURNE M, 2000, INT J OPER PROD MAN, V20, P754 18679 BOURNE M, 2000, P 2 INT C PERF MEAS, P165 18680 CAMP RC, 1989, BENCHMARKING SEARCH 18681 CHANG CJ, 2004, CHEM BIOL, V11, P203 18682 COUGHLAN P, 2002, INT J OPER PROD MAN, V22, P220 18683 DAVENPORT TH, 1997, INFORM ECOLOGY 18684 DIXON JR, 1990, NEW PERFORMANCE CHAL 18685 ECCLES RG, 1991, PERFORMANCE MEASUREM, P131 18686 GARENGO P, 2005, P IFIP 5 INT WORKSH 18687 GHALAYINI AM, 1996, INT J OPER PROD MAN, V16, P63 18688 GILL J, 1991, RES METHODS MANAGERS 18689 GOLDRATT EM, 1986, GOAL PROCESS ONGOING 18690 HAYES RH, 1980, MANAGING WAY EC DECL, P67 18691 HOLLOWAY J, 2001, INT J BUSINESS PERFO, V3, P167 18692 ITTNER CD, 1998, J ACCOUNTING RES S, V36, P1 18693 JOHNSON HT, 1987, RELEVANCE LOST RICE 18694 KAPLAN RS, BALANCED SCORECARD M 18695 KAPLAN RS, 1984, ACCOUNT REV, V59, P390 18696 KAPLAN RS, 1996, TRANSLATING STRATEGY 18697 KAPLAN RS, 2001, STRATEGY FOCUSED ORG 18698 KEEGAN DP, 1989, ARE YOUR PERFORMANCE, P45 18699 KENNERLEY M, 2002, INT J OPER PROD MAN, V22, P1222 18700 KENNERLEY M, 2003, INT J OPER PROD MAN, V23, P213 18701 LEBAS MJ, 1995, INT J PROD ECON, V41, P23 18702 LOVE PED, 2000, BUSINESS PROCESS MAN, V6, P408 18703 MARCHAND D, 2000, FINANC TIMES, P10 18704 MARR B, 2002, BUSINESS REV PUBLICA 18705 MASKELL B, 1989, PERFORMANCE MEASUREM, V67 18706 MAULL R, 1994, INT J SERVICE IND MA, V5 18707 MAULL R, 1995, DIFFERENT TYPES MANU 18708 MEEKINGS A, 1995, UNLOCKING POTENTIAL, P5 18709 MUMFORD E, 2001, INFORMATION TECHNOLO, V14, P12 18710 NEELY A, 1995, INT J OPER PROD MAN, V15, P80 18711 NEELY A, 1996, GETTING MEASURE YOUR 18712 NEELY A, 1999, INT J OPER PROD MAN, V19, P205 18713 NEELY A, 2000, INT J OPER PROD MAN, V20, P1119 18714 NEELY A, 2001, J COST MANAGEMENT 18715 NUDURUPATI SS, 2000, REV PERFORMANCE MANA 18716 NUDURUPATI SS, 2005, PROD PLAN CONTROL, V16, P152 18717 PERSON G, 1994, TIME BASED COMPETITI 18718 ROSTAD CC, 2005, PRODUKTIVITET LOGIST 18719 SCHNEIDERMAN A, 1999, J STRATEGIC PERFORMA, P6 18720 SKINNE W, 1974, DECLINE FALL RENEWAL, P32 18721 SLACK N, 1983, INT J OPER PROD MAN, V3, P4 18722 SUWIGNJO P, 1997, MANAGING ENTERPRISES, P237 18723 SUWIGNJO P, 2000, INT J PROD ECON, V64, P231 18724 WAGGONER DB, 1999, INT J PROD ECON, V60, P53 18725 ZAIRI M, 1996, BENCHMARKING BEST PR 18726 NR 55 18727 TC 0 18728 PU ELSEVIER SCIENCE BV 18729 PI AMSTERDAM 18730 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 18731 SN 0166-3615 18732 J9 COMPUT IND 18733 JI Comput. Ind. 18734 PD SEP 18735 PY 2007 18736 VL 58 18737 IS 7 18738 BP 667 18739 EP 676 18740 PG 10 18741 SC Computer Science, Interdisciplinary Applications 18742 GA 202DA 18743 UT ISI:000248881000007 18744 ER 18745 18746 PT J 18747 AU Garengo, P 18748 Nudurupati, S 18749 Bititci, U 18750 AF Garengo, Patrizia 18751 Nudurupati, Sai 18752 Bititci, Umit 18753 TI Understanding the relationship between PMS and MIS in SMEs: An 18754 organizational life cycle perspective 18755 SO COMPUTERS IN INDUSTRY 18756 LA English 18757 DT Article 18758 DE management information system; performance measurement systems; 18759 organizational capability; small and medium enterprises 18760 ID PERFORMANCE-MEASUREMENT SYSTEMS; OPERATIONS MANAGEMENT; RESEARCH 18761 AGENDA; BUSINESS 18762 AB This research aims to investigate the relationship between performance 18763 measurement system (PMS) and management information system (MIS) 18764 adopting a company life-cycle approach. The scope is to show if and how 18765 MIS influences PMS and vice versa. The investigation is carried out 18766 using the case study, methodology in Italian and Scottish small and 18767 medium enterprises (SMEs). The empirical results are synthesized in two 18768 theoretical propositions. 18769 The first proposition underlines the presence of two circular 18770 relationships between PMS, MIS and organizational capability. The first 18771 relationship is that: PMS implementation and use promote development in 18772 organizational capability, and that improvements in organizational 18773 capability supports PMS implementation and use. The second relationship 18774 is that; advanced MIS create a favourable context for PMS 18775 implementation and use. and that PMS implementation and use encourages 18776 investments in MIS. 18777 The second proposition emphasizes that company maturity has a relevant 18778 impact on MIS and PMS development where mature organizations are able 18779 to recognize their needs and are able to design effective MIS 18780 responding to PMS requirements. On the other hand, in less mature 18781 organizations an external stimulus is essential for supporting MIS 18782 investment and PMS implementation and use. (c) 2007 Elsevier B.V. All 18783 rights reserved. 18784 C1 Univ Padua, DIMEG, I-35131 Padua, Italy. 18785 Univ Strathclyde, DMEM, Ctr Strateg Mfg, Glasgow G1 1XJ, Lanark, Scotland. 18786 RP Garengo, P, Univ Padua, DIMEG, Via Venezia 1, I-35131 Padua, Italy. 18787 EM patrizia.garengo@unipd.it 18788 sai.nudurupati@strath.ac.uk 18789 umit.bititci@strath.ac.uk 18790 CR *AICPA, 2001, PERF MEAS PRACT SURV 18791 ADIZES I, 1979, ORGAN DYN, V8, P3 18792 BARNES M, 1998, P PERF MEAS THEOR PR 18793 BERNARDI G, 2003, WEBCENTER MANUALE BU 18794 BIERBUSSE P, 1998, J STRATEGIC PERFORMA, P11 18795 BITITCI US, 2000, INT J OPER PROD MAN, V20, P692 18796 BITITCI US, 2002, INT J OPER PROD MAN, V22, P1273 18797 BITITCI US, 2003, EUROMA POMS C P COM 18798 BLACKLER F, 1987, MANAGEMENT ORGANIZAT 18799 BOURNE M, 2000, INT J OPER PROD MAN, V20, P754 18800 BOURNE M, 2000, P 2 INT C PERF MEAS, P165 18801 BOURNE M, 2001, HDB PERFORMANCE MEAS 18802 BROUTHERS KD, 1998, LONG RANGE PLANN, V31, P130 18803 BUCKLEY JW, 1976, RES METHODOLOGY BUSI 18804 CLAVER E, 2001, INFORM TECHNOLOGY PE, V14, P247 18805 DAVENPORT TH, 1997, INFORM ECOLOGY 18806 ECCLES RG, 1991, PERFORMANCE MEASUREM, P131 18807 EISEHARDT K, 1989, ACAD MANAGE REV, V14, P116 18808 ELLRAM ML, 1996, USE CASE STUDY METHO, V17, P96 18809 GARENGO P, 2005, C P 3 C PERF MEAS MA 18810 GARENGO P, 2005, INT J MANAG REV, V7, P25 18811 GARENGO P, 2007, INT J OPERATIONS PRO, V27 18812 GIOIA DA, 1990, ACAD MANAGE REV, V15, P584 18813 GREINER L, 1972, HARVARD BUS REV, V50, P55 18814 HAAG S, 2002, MANAGEMENT INFORM SY 18815 HO S, 2002, CPA J, V72, P20 18816 HUDSON M, 2001, INT J OPER PROD MAN, V21, P1096 18817 KAPLAN RS, 2001, STRATEGY FOCUSED ORG 18818 KENNERLEY M, 2003, INT J OPER PROD MAN, V23, P213 18819 KIMBERLEY JR, 1980, ORGANIZATIONAL LIFE 18820 MARCCHAND D, 2000, MASTERING INFORM MAN 18821 MEREDITH J, 1993, INT J OPER PROD MAN, V13, P3 18822 MILLER D, 1984, MANAGE SCI, V30, P1161 18823 NEELY A, 1999, INT J OPER PROD MAN, V19, P205 18824 NEELY A, 2002, PERFORMANCE PRISM SC 18825 NEELY A, 2005, INT J OPER PROD MAN, V25, P1228 18826 NUDURUPATI SS, 2005, PROD PLAN CONTROL, V16, P152 18827 ORLIKOWSKI WJ, 2000, MASTERING INFORM MAN, P253 18828 PRAHALAD CK, 2002, MIT SLOAN MANAGE SUM, P24 18829 QUINN RE, 1983, MANAGE SCI, V29, P33 18830 SCOTT B, 1971, STAGE CORPORATE DEV 18831 SCOTT M, 1987, LONG RANGE PLANN, V20, P45 18832 SERAFEIMIDIS V, 2000, J INFORM TECHNOL, V15, P93 18833 STAKE RE, 1995, ART CASE STUDY RES 18834 STUART I, 2002, J OPER MANAG, V20, P419 18835 VOSS C, 2002, INT J OPER PROD MAN, V22, P195 18836 YIN RK, 1994, CASE STUDY RES DESIG 18837 NR 47 18838 TC 0 18839 PU ELSEVIER SCIENCE BV 18840 PI AMSTERDAM 18841 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 18842 SN 0166-3615 18843 J9 COMPUT IND 18844 JI Comput. Ind. 18845 PD SEP 18846 PY 2007 18847 VL 58 18848 IS 7 18849 BP 677 18850 EP 686 18851 PG 10 18852 SC Computer Science, Interdisciplinary Applications 18853 GA 202DA 18854 UT ISI:000248881000008 18855 ER 18856 18857 PT J 18858 AU La Forme, FAG 18859 Genoulaz, VB 18860 Campagne, JP 18861 AF La Forme, France-Anne Gruat 18862 Genoulaz, Valerie Botta 18863 Campagne, Jean-Pierre 18864 TI A framework to analyse collaborative performance 18865 SO COMPUTERS IN INDUSTRY 18866 LA English 18867 DT Article 18868 DE supply chain; business process; collaboration; performance indicators; 18869 industrial case study 18870 AB When competitiveness, responsiveness and customer satisfaction are 18871 keywords of a successful management in a business area, companies 18872 cannot work in an autonomous way anymore. They have to get closer to 18873 their supply chain partners and to optimize their relations, to 18874 interface and to integrate their information systems and 18875 decision-making in order to synchronize product flows and activities. 18876 In this context, the general framework proposed in this paper 18877 characterizes the performance of the collaboration in supply chains and 18878 it is based on two models: a collaboration characterization model and a 18879 collaboration-oriented performance model, both based on main supply 18880 chain business processes. The framework proposed has been instanced and 18881 validated on an industrial case study. (c) 2007 Elsevier B.V. All 18882 rights reserved. 18883 C1 Inst Natl Sci Appl, Lab LIESP, F-69621 Villeurbanne, France. 18884 RP La Forme, FAG, Inst Natl Sci Appl, Lab LIESP, Batiment Blaise Pascal, 7 18885 Ave Jean Capelle, F-69621 Villeurbanne, France. 18886 EM france-anne.gruat-la-forme@insa-lyon.fr 18887 valerie.botta@insa-lyon.fr 18888 jean-pierre.campagne@insa-lyon.fr 18889 CR *ASLOG, 2006, ASS FRANC POUR LOG 18890 *EVALOG, 2006, GLOBAL EVALOG FRAM R 18891 *SUPPL CHAIN COUNC, 2006, SCC SUPPL CHAIN OP R 18892 AKINTOYE A, 2000, EUROPEAN J PURCHASIN, V6, P159 18893 AYADI S, 2005, SUPPLY CHAIN MANAGEM 18894 BARUT M, 2002, EUROPEAN J PURCHASIN, V8, P161 18895 CHRISTOPHER M, 1998, LOGISTICS SUPPLY CHA 18896 COOPER M, 1997, INT J LOGISTICS MANG, V8, P65 18897 COUSINS PD, 2003, J PURCHASING SUPPLY, V9, P19 18898 DETONI A, 2001, INT J PROD ECON, V72, P169 18899 FOLAN P, 2005, PROD PLAN CONTROL, V16, P531 18900 GAONKAR R, 2001, IEEE-ASME T MECH, V6, P366 18901 GARIBALDI G, 2001, ANAL STRATEGIQUE COM, P438 18902 GLIMOUR P, 1999, J BUSINESS IND MARKE, V5, P283 18903 GUNASEKARAN A, 2004, INT J PROD ECON, V87, P333 18904 LAURAS M, 2004, THESIS DOCTORAT INP 18905 LAUX J, 2004, INT J PROD RES, V41, P919 18906 LE P, 2003, MISE PLACE DEMAR AGL, V1 18907 LI SH, 2006, OMEGA-INT J MANAGE S, V34, P107 18908 LIU E, 2003, 24 INT C INF SYST, P523 18909 POIRIER C, 2001, SUPPLY CHAIN 18910 SAHIN F, 2005, J OPERATIONS MANAGEM, V23, P579 18911 SHORE B, 2001, J GLOBAL INFORMATION, V4, P27 18912 THIERRY C, 2003, MEMOIRE HABILITATION 18913 WU L, 2005, P ICSSSM 05, V1, P91 18914 NR 25 18915 TC 0 18916 PU ELSEVIER SCIENCE BV 18917 PI AMSTERDAM 18918 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 18919 SN 0166-3615 18920 J9 COMPUT IND 18921 JI Comput. Ind. 18922 PD SEP 18923 PY 2007 18924 VL 58 18925 IS 7 18926 BP 687 18927 EP 697 18928 PG 11 18929 SC Computer Science, Interdisciplinary Applications 18930 GA 202DA 18931 UT ISI:000248881000009 18932 ER 18933 18934 PT J 18935 AU Gaiardelli, P 18936 Saccani, N 18937 Songini, L 18938 AF Gaiardelli, Paolo 18939 Saccani, Nicola 18940 Songini, Lucrezia 18941 TI Performance measurement of the after-sales service network - Evidence 18942 from the automotive industry 18943 SO COMPUTERS IN INDUSTRY 18944 LA English 18945 DT Article 18946 DE after-sales service network; performance measurement systems; reference 18947 model; case studies; automotive industry 18948 ID SUPPLY-CHAIN; SPARE PARTS; STRATEGIES; MANAGEMENT; PRODUCT; SYSTEM 18949 AB The after-sales activities are nowadays acknowledged as a relevant 18950 source of revenue, profit and competitive advantage in most 18951 manufacturing industries. Top and middle management, therefore, should 18952 focus on the definition of a structured business performance 18953 measurement system for the after-sales business. In addition, since 18954 many actors are involved along the after-sale service supply chain, an 18955 integrated and multi-attribute set of measures needs to be designed 18956 consistently at every level of the supply chain. Nonetheless, little 18957 attention was devoted by scientific and managerial literature to this 18958 topic. The paper aims at filling this gap, and proposes an integrated 18959 framework for the after-sales network performance measurement, and 18960 provides an empirical application to two automotive case companies and 18961 their official service network. The cases show that performance 18962 measurement systems of different supply chain actors should be aligned 18963 in order to achieve strategic consistency. In particular, the 18964 performance of different actors at the process level of the framework 18965 concurs in determining the after-sales service overall performance 18966 towards the final customer. In addition, linkages at other levels 18967 (mainly the business and activity ones) may be needed or helpful in 18968 ensuring consistency between strategic and operational objectives, 18969 inside the organisations and thus for the whole supply chain. (c) 2007 18970 Elsevier B.V. All rights reserved. 18971 C1 Univ Bergamo, Dept Ind Engn, I-24044 Dalmine, Italy. 18972 Univ Brescia, Dept Mech & Ind Engn, I-25123 Brescia, Italy. 18973 Univ Commerciale Luigi Bocconi, Dept Accounting & Finance, I-20136 Milan, Italy. 18974 RP Gaiardelli, P, Univ Bergamo, Dept Ind Engn, Viale Marconi 5, I-24044 18975 Dalmine, Italy. 18976 EM paolo.gaiardelli@unibg.it 18977 nicola.saccani@ing.unibs.it 18978 lucrezia.songini@unibocconi.it 18979 CR *SUPPL CHAIN COUNC, 2005, SUPPL CHAIN OP REF M 18980 AGNIHOTHRI S, 2002, INT J SERV IND MANAG, V13, P47 18981 ALEXANDER WL, 2002, SECRET LIFE FACTORY, V3, P106 18982 ARMISTEAD C, 1991, INT J OPER PRODUCTIO, V11, P111 18983 ARMISTEAD C, 1992, CUSTOMER SERVICE SUP 18984 ARTTO KA, 1994, LIFE CYCLE COST CONC 18985 BANKER RD, 2000, ACCOUNT REV, V75, P65 18986 BEAMON BM, 1999, INT J OPER PROD MAN, V19, P275 18987 BENSAOU M, 1995, MANAGE SCI, V41, P1469 18988 BENSAOU M, 1999, SLOAN MANAGE REV, V40, P35 18989 BITITCI US, 2005, INT J OPER PROD MAN, V25, P333 18990 BOHMANN E, 2003, OVERHAUWLING EUROPEA, V1, P134 18991 BREWER PC, 2000, J BUSINESS LOGISTICS, V21, P75 18992 BUNDSCHUH RG, 2003, MAKE SALE SERVICES P, V4, P116 18993 CANIELS MC, 2006, J PURCHASING SUPPLY, V11, P141 18994 CHAN FTS, 2003, INT J ADV MANUF TECH, V21, P534 18995 COHEN MA, 1990, SLOAN MANAGE REV, V31, P55 18996 COHEN MA, 1997, MANAGE SCI, V43, P535 18997 COHEN MA, 2000, SLOAN MANAGE REV, V41, P93 18998 COOPER R, 1999, SUPPLY CHAIN DEV LEA 18999 COOPER R, 2003, J COST MANAGEMENT 19000 COUSINS PD, 2003, INT J OPER PROD MAN, V23, P1447 19001 COX A, 2001, J SUPPLY CHAIN MANAG, V37, P8 19002 DYER JH, 1996, HARVARD BUS REV, V74, P42 19003 ELLRAM LM, 1995, INT J PHYS DISTRIB, V25, P4 19004 FABRYCHY WJ, 1991, LIFE CYCLE COST EC A 19005 FITZERALD L, 1996, PERFORMANCE MEASUREM 19006 FITZGERALD L, 1991, PERFORMANCE MEASUREM 19007 FOLAN P, 2005, PROD PLAN CONTROL, V16, P531 19008 FRAMBACH RT, 1997, IND MARKET MANAG, V26, P341 19009 GAIARDELLI P, 2007, INT J BUSINESS PERFO, V9, P145 19010 GALLAGHER T, 2005, PROFITING SPARE PART 19011 GOFFIN K, 1999, INT J PHYS DISTRIB, V29, P374 19012 HARLAND CM, 2001, J SUPPLY CHAIN MANAG, V37, P21 19013 HELPER S, 1991, BUS HIST REV, V65, P781 19014 HERTZ S, 2006, J BUS IND MARK, V21, P208 19015 HOLMBERG S, 2000, INT J PHYS DISTRIB, V30, P847 19016 HOPP WJ, 1999, IIE TRANS, V31, P977 19017 HUISKONEN J, 2001, INT J PROD ECON, V71, P125 19018 ITTNER CD, 2003, COMING SHORT NON FIN, P88 19019 KAPLAN RS, 1992, BALANCED SCORECARD M 19020 KAPLAN RS, 1996, TRANSLATING STRATEGY 19021 KEEGAN DP, 1989, MANAGEMENT ACCOU JUN, P45 19022 KENNEDY WJ, 2002, INT J PROD ECON, V76, P201 19023 LAMBERT DM, 2001, INT J LOGISTICS MANA, V12, P1 19024 LELE M, 1996, SLOAN MANAGE REV, P63 19025 LELE MM, 1997, MANAGING SERVICE QUA, V7, P141 19026 LEVITT T, 1983, HARVARD BUS REV, V61, P87 19027 LOOMBA APS, 1996, INT J PHYS DISTRIB, V26, P4 19028 LOOMBA APS, 1998, INT J PHYS DISTRIB, V28, P143 19029 LYNCH RL, 1991, MEASURE ESSENTIAL GU 19030 MATHE H, 1993, INTEGRATING SERVICE 19031 MATHIEU V, 2001, INT J SERV IND MANAG, V12, P451 19032 MENTZER JT, 2001, J BUSINESS LOGISTICS, V22, P1 19033 NEELY A, 2002, PERFORMANCE PRISM SC 19034 NEELY A, 2005, INT J OPER PROD MAN, V25, P1264 19035 PAPADOPOULOS HT, 1996, OMEGA, V24, P95 19036 PORTER ME, 1985, COMPETITIVE ADV 19037 SHIELDS MD, 1991, MANAGING PRODUCT LIF, P39 19038 SPEKMAN RE, 2006, IND MARKET MANAG, V35, P10 19039 STOREY J, 2006, INT J OPER PROD MAN, V26, P754 19040 THOBEN KD, 2001, P 7 INT C CONC ENT E, P429 19041 VOSS C, 2002, INT J OPER PROD MAN, V22, P195 19042 WISE R, 1999, HARVARD BUS REV, V77, P133 19043 ZHANG RQ, 2001, J HEURISTICS, V7, P185 19044 NR 65 19045 TC 0 19046 PU ELSEVIER SCIENCE BV 19047 PI AMSTERDAM 19048 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 19049 SN 0166-3615 19050 J9 COMPUT IND 19051 JI Comput. Ind. 19052 PD SEP 19053 PY 2007 19054 VL 58 19055 IS 7 19056 BP 698 19057 EP 708 19058 PG 11 19059 SC Computer Science, Interdisciplinary Applications 19060 GA 202DA 19061 UT ISI:000248881000010 19062 ER 19063 19064 PT J 19065 AU Berrah, L 19066 Cliville, V 19067 AF Berrah, Lamia 19068 Cliville, Vincent 19069 TI Towards an aggregation performance measurement system model in a supply 19070 chain context 19071 SO COMPUTERS IN INDUSTRY 19072 LA English 19073 DT Article 19074 DE performance aggegation; MACBETH methodology; Choquet integral; supply 19075 chain; SCOR model 19076 ID MANAGEMENT; CRITERIA; INDICATORS; ISSUES 19077 AB This study deals with the supply chain (SC) performance formalization. 19078 We propose to build performance measurement systems (PMSs) by linking 19079 an overall performance expression to elementary ones. The overall 19080 performance is associated to a global objective whose break-down 19081 provides elementary objectives. Elementary performances are thus 19082 aggregated in a corollary way. The problem in the design of such PMS's, 19083 by the break-down/aggregation model, concerns both the coherent 19084 elementary performance expressions and the definition of the links 19085 between them. Some answers are proposed in the literature, such as the 19086 weighted mean aggregation operator, to handle hierarchical links, the 19087 Choquet integral operator. for taking interactions into account. As 19088 global frameworks, the AHP or MACBETH methodologies are suggested. By 19089 considering the SCOR model break-down, we propose to extend here the 19090 proposed approaches for expressing the overall performance of a SC. An 19091 aggregation methodology. based on the Choquet integral operator and 19092 MACBETH framework, is thus adopted. (c) 2007 Elsevier B.V. All rights 19093 reserved. 19094 C1 Univ Savoie, LISTIC, F-74016 Annecy, France. 19095 RP Berrah, L, Univ Savoie, LISTIC, BP 806, F-74016 Annecy, France. 19096 EM lamia.berrah@univ-savoie.fr 19097 vincent.cliville@univ-savoie.fr 19098 CR *SUPPL CHAIN COUNC, 2000, SUPPL CHAIN OP REF M 19099 ANGERHOFER BJ, 2006, DECIS SUPPORT SYST, V42, P283 19100 AYERS JB, 2000, HDB SUPPLY CHAIN MAN 19101 AZZONE G, 1991, INT J OPER PROD MAN, V11, P77 19102 BANA C, 1997, J MULTI CRITERIA DEC, V6, P107 19103 BANA CA, 2004, MCDA MULTIPLE CRITER, P409 19104 BARUT M, 2002, EUROPEAN J PURCHASIN, P161 19105 BEAMON BM, 1998, INT J PROD ECON, V55, P281 19106 BERRAH L, 2000, COMPUT IND, V43, P211 19107 BERRAH L, 2001, CD ROM INT C ENG DES 19108 BERRAH L, 2002, CD ROM IEEE SYST MAN 19109 BERRAH L, 2004, INT J PROD RES, V42, P4271 19110 BITITCI US, 1995, INT J PROD ECON, V42, P137 19111 BITTON M, 1990, THESIS U BORDEAUX 19112 BRIMSON JA, 1991, ACTIVITY ACCOUNTING 19113 CHAN FTS, 2003, INT J ADV MANUF TECH, V21, P534 19114 CHANDLER AD, 1977, VISIBLE HAND MANAGER 19115 CHOO EU, 1999, COMPUT IND ENG, V37, P527 19116 CLIVILLE V, 2004, THESIS U SAVOIE 19117 CLIVILLE V, 2007, INT J PROD ECON, V105, P171 19118 COSTA H, 2003, ANUARIO ORNITOLOGICO, V1, P3 19119 CROSS KF, 1988, NATL PRODUCTIVITY RE, V8, P23 19120 DEMING EW, 1982, QUALITY PRODUCTIVITY 19121 DUCQ Y, 2001, INT J PROD ECON, V69, P239 19122 FOLAN P, 2005, COMPUT IND, V56, P663 19123 FORTUIN L, 1988, EUROPEAN J OPERATION, V34, P1 19124 GENESTE L, 2003, EUR J OPER RES, V147, P297 19125 GHALAYINI AM, 1997, INT J OPER PROD MAN, V15, P80 19126 GLOBERSON S, 1985, INT J PROD RES, V23, P639 19127 GRABISCH M, 1997, FUZZY SET SYST, V92, P167 19128 GRABISCH M, 2004, MULTIPLE CRITERIA DE, P563 19129 GRABOT B, 1998, INT J PROD RES, V36, P2377 19130 GUNASEKARAN A, 2004, INT J PROD ECON, V87, P333 19131 KAPLAN RS, 1992, HARVARD BUSINESS JAN, P71 19132 KAPLAN RS, 1996, HARVARD BUSINESS JAN, P75 19133 KRANZ DH, 1971, FDN MEASUREMENT ADDI 19134 KUENG P, 1999, J SCI IND RES INDIA, V58, P149 19135 LOHMAN C, 2004, EUR J OPER RES, V156, P267 19136 MARICHAL JL, 2000, IEEE T FUZZY SYST, V8, P800 19137 MELNYK SA, 2004, J OPER MANAG, V22, P209 19138 NEELY A, 1999, INT J OPER PROD MAN, V19, P205 19139 SAATY T, 2004, MCDA MULTIPLE CRITER, P345 19140 SUWIGNJO P, 2000, INT J PROD ECON, V64, P231 19141 VANSNICK JC, 1984, EUR J OPER RES, P367 19142 VILLA A, 2001, INT J PROD ECON, V73, P1 19143 NR 45 19144 TC 0 19145 PU ELSEVIER SCIENCE BV 19146 PI AMSTERDAM 19147 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 19148 SN 0166-3615 19149 J9 COMPUT IND 19150 JI Comput. Ind. 19151 PD SEP 19152 PY 2007 19153 VL 58 19154 IS 7 19155 BP 709 19156 EP 719 19157 PG 11 19158 SC Computer Science, Interdisciplinary Applications 19159 GA 202DA 19160 UT ISI:000248881000011 19161 ER 19162 19163 PT J 19164 AU Blanc, S 19165 Ducq, Y 19166 Vallespir, B 19167 AF Blanc, Severine 19168 Ducq, Yves 19169 Vallespir, Bruno 19170 TI Evolution management towards interoperable supply chains using 19171 performance measurement 19172 SO COMPUTERS IN INDUSTRY 19173 LA English 19174 DT Article 19175 DE interoperability; enterprise modelling; performance measurement system; 19176 ECOGRAI method; PBview software tool 19177 ID AGGREGATION; SYSTEMS 19178 AB Today, the enterprise must cooperate to survive in an increasingly 19179 competitive context. This co-operation is carried out by organisations 19180 in networks through the supply chain (SC). In order to do so, 19181 enterprises must be interoperable. In order to reach interoperability, 19182 the system must eradicate heterogeneity. This paper aims at presenting 19183 the problems of heterogeneity from two different points of view: 19184 semantic and organisational. In the first part, the paper exposes the 19185 problems of heterogeneity from the two points of view. This part 19186 insists on the weak alien problem resolution for the semantics. In the 19187 second part, the synchronisation and standardisation of practices of 19188 business processes are presented in order to solve a part of the 19189 problem of organisation heterogeneity. The third part presents the use 19190 of the performance measurement system to manage the evolution of the 19191 enterprises towards interoperability, i.e. the implementation and 19192 exploitation of the principles exposed previously. Then, the last part 19193 presents an application of the ECOGRAI method and implementation using 19194 a software tool in the frame of interoperability between manufacturing 19195 and maintenance companies. (c) 2007 Elsevier B.V. All rights reserved. 19196 C1 Univ Bordeaux 1, ENSEIRB, CNRS UMR 5131, LAPS GRAI, F-33405 Talence, France. 19197 RP Blanc, S, Univ Bordeaux 1, ENSEIRB, CNRS UMR 5131, LAPS GRAI, 351 Cours 19198 Liberat, F-33405 Talence, France. 19199 EM firstname.name@laps.u-bordeaux1.fr 19200 CR *IEEE, 1990, IEEE STAND COMP DICT 19201 ANNEX I, 2003, EUROPEAN INTEGRATED 19202 ANNEX I, 2004, NETWORK EXCELLENCE I 19203 BITTON M, 1990, THESIS U BORDEAUX, V1 19204 BLANC S, 2005, 4 INT WORKSH PERF ME 19205 BRAESCH C, 1995, ENTREPRISE SYSTEME M 19206 CHALMETA R, 2005, INT J COMP INTEG M, V18, P73 19207 DOUMEINGTS G, 2001, PROD PLAN CONTROL, V12, P146 19208 DUCQ Y, 2001, INT J PROD ECON, V69, P23 19209 DUCQ Y, 2005, PROD PLAN CONTROL, V16, P163 19210 GRUBER T, SUMMARY STATEMENT GR 19211 KAPLAN RS, 1996, BALANCED SCORECARD 19212 MALHENE N, 2000, THESIS U BORDEAUX, V1 19213 NEELY A, 2002, PERFORMANCE PRISM SC 19214 SANSONNET JP, APPROACHES HETEROGEN 19215 VALENCIA E, 2000, THESIS DOCTORAT U PA 19216 VALENCIA E, 2004, C EUMAS 04 BARC DEC 19217 VALLESPIR B, 2005, 16 IFAC WORLD C PRAH 19218 NR 18 19219 TC 0 19220 PU ELSEVIER SCIENCE BV 19221 PI AMSTERDAM 19222 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 19223 SN 0166-3615 19224 J9 COMPUT IND 19225 JI Comput. Ind. 19226 PD SEP 19227 PY 2007 19228 VL 58 19229 IS 7 19230 BP 720 19231 EP 732 19232 PG 13 19233 SC Computer Science, Interdisciplinary Applications 19234 GA 202DA 19235 UT ISI:000248881000012 19236 ER 19237 19238 PT J 19239 AU Albrechtsen, E 19240 AF Albrechtsen, Eirik 19241 TI A qualitative study of users' view on information security 19242 SO COMPUTERS & SECURITY 19243 LA English 19244 DT Article 19245 DE information security; information security management; users; 19246 awareness; behaviour; participation; qualitative research 19247 ID MANAGEMENT; MILLENNIUM 19248 AB Users play an important role in the information security performance of 19249 organisations by their security awareness and cautious behaviour. 19250 Interviews of users at an IT-company and a bank were qualitatively 19251 analyzed in order to explore users' experience of information security 19252 and their personal role in the information security work. The main 19253 patterns of the study were: (1) users state to be motivated for 19254 information security work, but do not perform many individual security 19255 actions; (2) high information security workload creates a conflict of 19256 interest between functionality and information security; and (3) 19257 documented requirements of expected information security behaviour and 19258 general awareness campaigns have little effect alone on user behaviour 19259 and awareness. The users consider a user-involving approach to be much 19260 more effective for influencing user awareness and behaviour. (c) 2006 19261 Elsevier Ltd. All rights reserved. 19262 C1 Norwegian Univ Sci & Technol, Dept Ind Econ & Technol Management, N-7491 Trondheim, Norway. 19263 RP Albrechtsen, E, Norwegian Univ Sci & Technol, Dept Ind Econ & Technol 19264 Management, N-7491 Trondheim, Norway. 19265 EM eirik.albrechtsen@iot.ntnu.no 19266 CR *ISF, 2005, STAND GOOD PRACT INF 19267 *OECD, 2002, OECD GUID SEC INF SY 19268 AARO LA, 1996, MENNESKELIGE FAKTOR 19269 ADAMS A, 1999, COMMUN ACM, V42, P41 19270 ADLER PS, 1992, USABILITY TURNING TE 19271 ALBRECHTSEN E, 2004, FLIS FINGEREN RAGNAR, P319 19272 ARGYRIS C, 1996, ORG LEARNING, V2 19273 BECK U, 1992, RISK SOC NEW MODERNI 19274 BESNARD D, 2004, COMPUT SECUR, V23, P253 19275 BRAVERMAN H, 1974, LABOR MONOPOLY CAPIT 19276 BRUNSSON N, 2002, ORG HYPOCRISY TALK D 19277 DHILLON G, 2000, COMMUN ACM, V43, P125 19278 DHILLON G, 2001, INFORM SYST J, V11, P127 19279 DOUGLAS M, 1982, RISK CULTURE ESSAY S 19280 EHN P, 1992, USABILITY TURNING TE 19281 FISCHOFF B, 2000, PERCEPTION RISK 19282 FISCHOFF B, 2000, PSYCHOMETRIC STUDY A 19283 HOVDEN J, 1998, C SAF ACT MELB 19284 IVERSEN H, 2005, EUR PSYCHOL, V10, P25 19285 JAEGER CC, 2001, RISK UNCERTAINTY RAT 19286 KLINKE A, 2002, RISK ANAL, V22, P1071 19287 KUTTSCHREUTER M, 2004, J RISK RES, V7, P3 19288 KVALE S, 1996, INTERVIEWS INTRO QUA 19289 LEIULFSRUD H, 1996, KVALITATIVE METODER 19290 LEVIN M, 2002, FORANDRING SOM PRAKS 19291 LUND J, 2004, SAFETY SCI, V42, P271 19292 LYSGAARD S, 1961, ARBEIDERKOLLEKTIVET 19293 MARCH J, 1958, ORGANIZATIONS 19294 MILES MB, 1994, QUALITATIVE DATA ANA 19295 RASMUSSEN J, 1982, J OCCUPATIONAL ACCID, V4, P311 19296 RASMUSSEN J, 1997, SAFETY SCI, V27, P183 19297 RENN O, 1991, COMMUNICATING RISK P, P457 19298 ROSNESS R, 2001, STF38A01408M SINTEF 19299 SCHNEIER B, 2000, SECRETS LIES DIGITAL 19300 SCHULTZ E, 2004, COMPUT SECUR, V23, P1 19301 SCHULTZ E, 2005, COMPUT SECUR, V24, P425 19302 SHRADERFRECHETT.KS, 1991, RISK RATIONALITY 19303 SLOVIC P, 2000, PERCEPTION RISK 19304 STANTON JM, 2005, COMPUT SECUR, V24, P124 19305 STANTON N, 1996, SAFETY SCI, V22, P1 19306 STRAUSS A, 1998, BASICS QUALITATIVE R 19307 THAGAARD T, 2002, SYSTEMATIKK INNLEVEL 19308 WILDE GJS, 1982, RISK ANAL, V2, P209 19309 NR 43 19310 TC 0 19311 PU ELSEVIER ADVANCED TECHNOLOGY 19312 PI OXFORD 19313 PA OXFORD FULFILLMENT CENTRE THE BOULEVARD, LANGFORD LANE, KIDLINGTON, 19314 OXFORD OX5 1GB, OXON, ENGLAND 19315 SN 0167-4048 19316 J9 COMPUT SECURITY 19317 JI Comput. Secur. 19318 PD JUN 19319 PY 2007 19320 VL 26 19321 IS 4 19322 BP 276 19323 EP 289 19324 PG 14 19325 SC Computer Science, Information Systems 19326 GA 187RV 19327 UT ISI:000247866900016 19328 ER 19329 19330 PT J 19331 AU Breysse, D 19332 Vasconcelos, E 19333 Schoefs, F 19334 AF Breysse, Denys 19335 Vasconcelos, Elisio 19336 Schoefs, Franck 19337 TI Estimating the capital cost of wastewater system 19338 SO COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING 19339 LA English 19340 DT Article 19341 ID DETERIORATING STRUCTURES; MAINTENANCE COST; LIFE; BRIDGES 19342 AB Managers of sewer systems are faced with their infrastructure system 19343 ageing. Even when they are conscious about the needs of maintenance to 19344 keep the system in a good condition, they lack efficient methods and 19345 tools that may help them in taking appropriate decisions. One can say 19346 that no really satisfactory and efficient tool exists, enabling the 19347 optimization of Inspection, Maintenance, or Rehabilitation (IMR) 19348 strategies on such systems. Sewer managers and researchers have been 19349 involved for many years in the French National Research Project for 19350 Renewal of Non Man Entry Sewer System (RERAU-Rehabilitation des Reseaux 19351 d'Assainissement Urbains, in French) to improve their knowledge of 19352 these systems and the management policies. During the RERAU project, a 19353 specific action has been dedicated to the modeling of asset ageing and 19354 maintenance. A special attention has been dedicated to the description 19355 of defects and dysfunctions, to the evaluation of performances and its 19356 modeling, accounting for its various dimensions (from the point of view 19357 of the manager, of the user, of the environment...). After having 19358 defined an Index of Technical Performance (ITp), we will introduce the 19359 Index of Technical and Economic Performance (ITEp) that is a combined 19360 measure of performance (including social costs) and technical costs. 19361 This index provides an objective standard tool for managers to compare 19362 different alternatives. It is used in the article to compare some 19363 simple IMR strategies. It sets the basis of a new method for no-man 19364 entry sewer system management, enabling us to analyze the 19365 profitableness of investment in terms of both technical and economic 19366 performance. 19367 C1 Univ Bordeaux 1, GHYMAC CDGA, F-33405 Talence, France. 19368 Univ Nantes, F-44035 Nantes, France. 19369 RP Breysse, D, Univ Bordeaux 1, GHYMAC CDGA, F-33405 Talence, France. 19370 EM denis.breysse@u-bordeaux1.fr 19371 CR *AGHTM, 1998, NUMERO HORS SERIE 19372 *EN, 2001, 135082 EN 19373 *OFWAT, 2000, MD 161 MAINT SERV CU 19374 ASHLEY R, 2002, URBAN WATER, V4, P123 19375 BAUR R, 1999, P 13 EUR JUN SCI WOR 19376 BERLAND JM, 2003, OFFICE INT EAU 19377 BONNEFOUS C, 2001, INDICATEURS PERFORMA 19378 BREYSSE D, 2001, COSS 2001, P190 19379 BREYSSE D, 2002, INT C DMINUCE 2002 L 19380 ENGELUND S, 1999, ACI MATER J, V96, P160 19381 ESTES AC, 1997, THESIS U COLORADO BO 19382 HERZ RK, 1996, J WATER SUPPLY RES T, V45, P221 19383 KLEINER Y, 2001, ASCE J INFRASTRUCTUR, P136 19384 KLEINER Y, 2001, URBAN WATER, V3, P131 19385 KONG JS, 2003, J STRUCT ENG-ASCE, V129, P682 19386 KONG JS, 2003, J STRUCT ENG-ASCE, V129, P818 19387 LAFRECHINE K, 1999, THESIS U BORDEAUX 19388 LEGAUFFRE P, 2002, INT C SEW OP MAINT 19389 LEGAUFFRE P, 2004, GUIDE METHODOLOGIQUE 19390 MACEY CC, 2002, INFRA 2002 19391 MAKAR JM, 1999, J INFRASTRUCTURE SYS, V5, P60 19392 MATOS R, 2002, WATER SUPPLY, V3, P365 19393 MICEVSKI T, 2002, J INFRASTRUCTURE SYS, V8, P49 19394 PARK DH, 2000, RELIAB ENG SYST SAFE, V68, P105 19395 PASARI G, 2003, LIFE CYCLE ANAL SANI 19396 REINERTSEN R, 1995, RELIAB ENG SYST SAFE, V48, P191 19397 ROY B, 1993, AIDE MULTICRITERE DE 19398 SCHNEIDER LG, 2001, THESIS ENGREEF 19399 TAO ZW, 1995, J STRUCT ENG-ASCE, V121, P971 19400 VANBEEK A, 2003, LIFE PREDICTION AGIN, P257 19401 VASCONCELOS E, 2003, ACTES 21 RENCONTRES, P151 19402 VASCONCELOS E, 2005, DEV OUTILS AIDE GEST 19403 VASSIE PR, 1997, SAFETY BRIDGES, P145 19404 WEREY C, 2003, INT C ASTEE AGHTM EX 19405 WIKLUND H, 1998, QUAL RELIAB ENG INT, V14, P303 19406 NR 35 19407 TC 0 19408 PU BLACKWELL PUBLISHING 19409 PI OXFORD 19410 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 19411 SN 1093-9687 19412 J9 COMPUT-AIDED CIVIL INFRASTR E 19413 JI Comput.-Aided Civil Infrastruct. Eng. 19414 PD OCT 19415 PY 2007 19416 VL 22 19417 IS 7 19418 BP 462 19419 EP 477 19420 PG 16 19421 SC Computer Science, Interdisciplinary Applications; Construction & 19422 Building Technology; Engineering, Civil 19423 GA 206OT 19424 UT ISI:000249193500002 19425 ER 19426 19427 PT J 19428 AU James, T 19429 Vroblefski, M 19430 Nottingham, Q 19431 AF James, Tabitha 19432 Vroblefski, Mark 19433 Nottingham, Quinton 19434 TI A hybrid grouping genetic algorithm for the registration area planning 19435 problem 19436 SO COMPUTER COMMUNICATIONS 19437 LA English 19438 DT Article 19439 DE grouping genetic algorithm; Registration area planning; PCS networks 19440 ID CELLULAR MOBILE NETWORKS; PCS NETWORKS; EFFICIENT LOCATION; ASSIGNMENT; 19441 SYSTEMS; SWITCHES; CELLS 19442 AB With the growing use of mobile communication devices, the management of 19443 such technologies is of increasing importance. The registration area 19444 planning (RAP) problem examines the grouping of cells comprising a 19445 personal communication services (PCs) network into contiguous blocks in 19446 an effort to reduce the cost of managing the location of the devices 19447 operating on the network, in terms of bandwidth. This study introduces 19448 a hybridized grouping genetic algorithm (HGGA) to obtain cell 19449 formations for the RAP problem. The hybridization is accomplished by 19450 adding a tabu search-based improvement operator to a traditional 19451 grouping genetic algorithm (GGA). Results indicate that significant 19452 performance gains can be realized by hybridizing the algorithm, 19453 especially for larger problem instances. The HGGA is shown to 19454 consistently outperform the traditional GGA on problems of size greater 19455 than 19 cells. (c) 2007 Elsevier B.V. All rights reserved. 19456 C1 Virginia Polytech Inst & State Univ, RB Pamplin Coll Business, Dept Business Informat Technol, Blacksburg, VA 24061 USA. 19457 Univ Arizona, Dept Management Informat Syst, Eller Coll Management, Tucson, AZ 85721 USA. 19458 RP James, T, Virginia Polytech Inst & State Univ, RB Pamplin Coll 19459 Business, Dept Business Informat Technol, Blacksburg, VA 24061 USA. 19460 EM tajames@vt.edu 19461 mvro@eller.arizona.edu 19462 notti@vt.edu 19463 CR AKYILDIZ IF, 1996, IEEE ACM T NETWORK, V4, P629 19464 APURVA K, 2000, 3 ACM INT WORKSH WIR, P48 19465 BEJERANO Y, MOBICOM 2003, P109 19466 BEJERANO Y, 2001, P IEEE INFOCOM 2001, V1, P3 19467 BEJERANO Y, 2006, IEEE ACM T NETWORK, V14, P438 19468 BHATTACHARJEE PS, 2004, IEEE T WIREL COMMUN, V3, P1176 19469 CHAN TM, 2002, SIGNAL PROCESS, V82, P1047 19470 DEMESTICHAS P, 2000, COMPUT COMMUN, V23, P1263 19471 DEMESTICHAS PP, 2000, WIRELESS PERS COMMUN, V12, P83 19472 DEMIRKOL I, 2001, P IEEE INFOCOM, V1, P13 19473 DEMIRKOL I, 2004, IEEE T WIREL COMMUN, V3, P880 19474 FALKENAUER E, 1998, GENETIC ALGORITHMS G 19475 GARY MR, 1979, COMPUTERS INTRACTABI 19476 GOLDBERG D, 1989, GENETIC ALGORITHMS S 19477 HEDIBLE C, 2003, IEEE CANADIAN REV, V44, P21 19478 KARAOGLU B, 2005, LECT NOTES COMPUT SC, V3449, P175 19479 MAITRA M, 2005, IETE J RES, V51, P235 19480 MARKOULIDAKIS JG, 1993, ELECTRON LETT, V29, P2165 19481 MERCHANT A, 1995, IEEE ACM T NETWORK, V3, P521 19482 PIERRE S, 2002, COMPUT COMMUN, V25, P464 19483 PLEHN J, 1995, IEEE VEH TECHN C, V2, P871 19484 SHYU SYJ, 2006, COMPUT OPER RES, V33, P1713 19485 SUN J, 1997, 3 IEEE INT C ENG COM, P86 19486 TOLLIS IG, 1996, IEEE ICC 96, P1377 19487 VROBLEFSKI M, 2006, OMEGA-INT J MANAGE S, V34, P220 19488 WANG TP, 1998, IEEE T VEH TECHNOL, V47, P987 19489 WONG VWS, 2000, IEEE NETWORK SEP, P18 19490 XU JL, 2003, WIREL NETW, V9, P103 19491 NR 28 19492 TC 0 19493 PU ELSEVIER SCIENCE BV 19494 PI AMSTERDAM 19495 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 19496 SN 0140-3664 19497 J9 COMPUT COMMUN 19498 JI Comput. Commun. 19499 PD JUL 31 19500 PY 2007 19501 VL 30 19502 IS 10 19503 BP 2180 19504 EP 2190 19505 PG 11 19506 SC Computer Science, Information Systems; Engineering, Electrical & 19507 Electronic; Telecommunications 19508 GA 206ON 19509 UT ISI:000249192900004 19510 ER 19511 19512 PT J 19513 AU Wang, YC 19514 Wang, JS 19515 Tsai, FH 19516 AF Wang, Yung-Chung 19517 Wang, Jenn-Shing 19518 Tsai, Fu-Hsiang 19519 TI Space priority queue with fuzzy set threshold 19520 SO COMPUTER COMMUNICATIONS 19521 LA English 19522 DT Article 19523 DE space priority queue; fuzzy set threshold; Markovian arrival process; 19524 Markov-modulated poisson process; phase distribution 19525 ID MARKOVIAN ARRIVAL PROCESS; NETWORKS; MANAGEMENT; CONTROLLER; STREAMS; 19526 MODELS 19527 AB In this paper, we develop a queueing model of fuzzy threshold-based 19528 space priority buffer management and study its performance under 19529 realistic conditions. It applies a matrix-analytic approach to analyze 19530 the relevant performance measure, including the packet loss probability 19531 of high-priority traffic and the packet loss probability of 19532 low-priority traffic. Based on the proposed framework, we explore the 19533 properties of the fuzzy threshold-based space priority buffer 19534 management scheme. Numerical results reveal that the fixed threshold 19535 scheme, through its abrupt nature, causes a relatively higher 19536 low-priority packet drop. Intuitively, the fuzzy threshold adapts well 19537 to different input traffic conditions and packet loss rate requirements 19538 of high-priority packet, yielding a lower packet loss probability for 19539 low-priority packet. (c) 2007 Elsevier B.V. All rights reserved. 19540 C1 Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan. 19541 RP Wang, YC, Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan. 19542 EM ycwang@ee.ntut.edu.tw 19543 jswang@ee.ntut.edu.tw 19544 s1318023@ee.ntut.edu.tw 19545 CR ARTIGES D, 1996, PERFORM EVALUATION, V27, P673 19546 BELLMAN R, 1970, INTRO MATRIX ANAL 19547 BONDE AR, 1994, IEEE ACM T NETWORK, V2, P337 19548 CHENG RG, 1999, IEEE ACM T NETWORK, V7, P111 19549 ELWALID AI, P IEEE INFOCOM 92, P415 19550 GOLESTANI SJ, IEEE INFOCOM 94, P636 19551 GRAHAM A, 1981, KRONECKER PRODUCTS M 19552 HEYMAN DP, 2003, IEEE ACM T NETWORK, V11, P948 19553 HU RQ, 2000, IEEE ACM T NETWORK, V8, P697 19554 HUNG A, 1996, IEEE ACM T NETWORK, V4, P49 19555 KANG SH, 2002, IEEE T COMMUN, V50, P633 19556 LEBOUDEC JY, 1991, IEEE J SEL AREA COMM, V9, P408 19557 LEE DS, 1993, IEEE ACM T NETWORK, V1, P709 19558 LUCANTONI DM, 1991, COMMUN STAT STOCHAST, V7, P1 19559 MOON SW, 2000, IEEE T COMPUT, V49, P1215 19560 NEUTS MF, 1981, MATRIX GEOMETRIC SOL 19561 NEUTS MF, 1989, STRUCTURED STOCHASTI 19562 NEUTS MF, 1992, IEICE T COMMUN, V75, P1255 19563 RAZOUQI Q, 2000, IEEE T FUZZY SYST, V8, P425 19564 REXFORD JL, IEEE INFOCOM 96, P638 19565 SALVADOR P, 2003, TELECOMMUN SYST, V23, P123 19566 SIRIPONGWUTIKORN P, 2005, IEEE T NEURAL NETWOR, V16, P1147 19567 STILIADIS D, IEEE INFOCOM 97, P326 19568 WANG YC, 2000, PERFORM EVALUATION, V41, P269 19569 WANG YC, 2001, ISCOM 19570 XIE GG, 1995, IEEE ACM T NETWORK, V3, P683 19571 ZADEH LA, 1965, FUZZY SETS INFORMATI, V8, P338 19572 ZHANG RT, 2003, IEEE T FUZZY SYST, V11, P840 19573 NR 28 19574 TC 0 19575 PU ELSEVIER SCIENCE BV 19576 PI AMSTERDAM 19577 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 19578 SN 0140-3664 19579 J9 COMPUT COMMUN 19580 JI Comput. Commun. 19581 PD JUL 31 19582 PY 2007 19583 VL 30 19584 IS 10 19585 BP 2301 19586 EP 2310 19587 PG 10 19588 SC Computer Science, Information Systems; Engineering, Electrical & 19589 Electronic; Telecommunications 19590 GA 206ON 19591 UT ISI:000249192900015 19592 ER 19593 19594 PT J 19595 AU Lo, ECM 19596 Holmgren, CJ 19597 Hu, D 19598 Helderman, WV 19599 AF Lo, Edward C. M. 19600 Holmgren, Christopher J. 19601 Hu, Deyu 19602 Helderman, Wim van Palenstein 19603 TI Six-year follow up of atraumatic restorative treatment restorations 19604 placed in Chinese school children 19605 SO COMMUNITY DENTISTRY AND ORAL EPIDEMIOLOGY 19606 LA English 19607 DT Article 19608 DE atraumatic restorative treatment; cohort study; dental filling; 19609 glass-ionomer; survival analysis 19610 ID SURFACE ART RESTORATIONS; GLASS-IONOMER SEALANTS; PERMANENT DENTITION; 19611 DENTAL-CARIES; SURVIVAL; AMALGAM; MANAGEMENT; DENTISTRY; ZIMBABWE 19612 AB Objectives: This study aimed to evaluate the clinical performance of 19613 atraumatic restorative treatment (ART) restorations placed in school 19614 children in China over a 6-year period. Methods: This study was 19615 implemented in 1996 and 294 ART restorations were placed in 197 19616 children aged 12-13 years by five assistant dentists in four schools. 19617 Standard ART procedures and instruments were used combined with a 19618 high-strength glass-ionomer restorative material. One examiner 19619 evaluated the restorations annually using the ART criteria while at 5 19620 years an independent external examiner used US Public Health Service 19621 (USPHS) criteria. Results: Fifty-eight per cent of the restorations 19622 were followed for 6 years. At the 6-year evaluation examination, 76% 19623 and 59% of the small and large restorations respectively were present 19624 and were without major wear or defect (P < 0.01). Similar results were 19625 obtained when using the USPHS criteria. Results of a multilevel 19626 survival analysis show that the correlation between restoration failure 19627 and operator was small but failure of restorations placed in the same 19628 child was substantial. Net wear of the small and large restorations 19629 after 6 years were 176 and 172 mu m respectively (P > 0.05). 19630 Conclusions: The 6-year survival rate of the class I ART restorations 19631 in this study, especially the smaller ones, was satisfactory. This 19632 suggests that the ART approach can be used in the school setting to 19633 improve the oral health of large populations of underserved children. 19634 C1 Univ Hong Kong, Fac Dent, Hong Kong, Hong Kong, Peoples R China. 19635 Radboud Univ Nijmegen Med Ctr, WHO, Collaborating Ctr Oral Hlth Care Planning & Futur, Nijmegen, Netherlands. 19636 Sichuan Univ, W China Coll Stomatol, Chengdu 610064, Peoples R China. 19637 RP Lo, ECM, Univ Hong Kong, Fac Dent, 34 Hosp Rd, Hong Kong, Hong Kong, 19638 Peoples R China. 19639 EM edward-lo@hkucc.hku.hk 19640 CR BRYANT RW, 1990, DENT MATER, V6, P60 19641 DOWNER MC, 1999, BRIT DENT J, V187, P432 19642 FRENCKEN JE, 1996, J PUBLIC HEALTH DENT, V56, P135 19643 FRENCKEN JE, 1998, CARIES RES, V32, P119 19644 FRENCKEN JE, 1998, COMMUNITY DENT ORAL, V26, P372 19645 FRENCKEN JE, 1999, COMMUNITY DENT ORAL, V27, P423 19646 FRENCKEN JE, 2004, J DENT RES, V83, P120 19647 GAO W, 2003, QUINTESSENCE INT, V34, P31 19648 HOLMGREN CJ, 1996, J PUBLIC HLTH DENT, V56, P164 19649 HOLMGREN CJ, 2000, COMMUNITY DENT ORAL, V28, P314 19650 HONKALA E, 2003, INT J PAEDIAT DENT, V13, P172 19651 KALFSCHOLTE SM, 2003, J PUBLIC HEALTH DENT, V63, P99 19652 LO ECM, 1999, COMMUNITY DENT HLTH, V16, P114 19653 LO ECM, 2001, J DENT RES, V80, P1471 19654 MANDARI GJ, 2003, CARIES RES, V37, P246 19655 MANHART J, 2004, OPER DENT, V29, P481 19656 MICKENAUTSCH S, 1999, INT DENT J, V49, P132 19657 MURDOCHKINCH CA, 2003, J AM DENT ASSOC, V134, P87 19658 PETERS MC, 2001, J ADHES DENT, V3, P17 19659 PHANTUMVANIT P, 1996, J PUBLIC HEALTH DENT, V56, P141 19660 RYGE G, 1980, INT DENT J, V30, P347 19661 SMALES RJ, 2002, QUINTESSENCE INT, V33, P427 19662 TAIFOUR D, 2002, CARIES RES, V36, P437 19663 TAIFOUR D, 2003, COMMUNITY DENT ORAL, V31, P122 19664 TYAS MJ, 2000, INT DENT J, V50, P1 19665 WANG HY, 2002, INT DENT J, V52, P283 19666 WONG MCM, 2005, J DENT RES, V84, P817 19667 NR 27 19668 TC 0 19669 PU BLACKWELL PUBLISHING 19670 PI OXFORD 19671 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 19672 SN 0301-5661 19673 J9 COMMUNITY DENT ORAL EPIDEMIOL 19674 JI Community Dentist. Oral Epidemiol. 19675 PD OCT 19676 PY 2007 19677 VL 35 19678 IS 5 19679 BP 387 19680 EP 392 19681 PG 6 19682 SC Dentistry, Oral Surgery & Medicine; Public, Environmental & 19683 Occupational Health 19684 GA 206ZR 19685 UT ISI:000249221900008 19686 ER 19687 19688 PT J 19689 AU Sarkar, M 19690 Cruz, RL 19691 AF Sarkar, Mahasweta 19692 Cruz, Rene L. 19693 TI A MAC layer power management scheme for efficient energy delay tradeoff 19694 in a WLAN 19695 SO COMPUTER NETWORKS 19696 LA English 19697 DT Article 19698 DE WLAN; dynamic programming; optimization problem; "Sleep" scheduling 19699 algorithm 19700 AB Energy efficient operation is of paramount importance for 19701 battery-powered wireless nodes. In an effort to conserve energy, 19702 standard protocols for WLANs have the provision for wireless nodes to 19703 "sleep" periodically. In this paper we first consider the problem of 19704 optimizing the timing and duration of the sleep state of a single 19705 wireless node (or user) with the objective of minimizing power 19706 consumption with respect to a QoS constraint. The QoS parameter that we 19707 have focused on is average packet delay. Using a Dynamic Programming 19708 formulation, coupled with a duality argument, we solve the optimization 19709 problem numerically. Using a branching process analysis, we were able 19710 to derive closed form expressions for the optimal sleep duration, as 19711 well as the associated minimal rate of power consumption. We show that 19712 the optimal power cost derived from the one-user Dynamic Programming 19713 (DP) formulation provides a lower bound to the average power 19714 consumption for the multiple user case. To gain better insight into the 19715 optimal sleep policy we also formulate and solve a two-user 19716 optimization problem, similar to the one user case. Although the 19717 complexity of the DP approach grows very quickly with the number of 19718 users, the insights gained from the DP approach led us to design a 19719 simple, centralized, adaptive algorithm for assigning the sleep 19720 duration of an arbitrary number of wireless nodes operating in an 19721 infrastructure mode served by a single Access Point (AP). Our algorithm 19722 adapts dynamically to the packet arrival rate and statistics, as well 19723 as the tolerable average packet delay. We describe two different 19724 service policies - the Round Robin scheme and the Shortest Sleep First 19725 (SSF) scheme. The Round Robin scheme is the preferred service policy 19726 when all wireless nodes in the system have the same packet arrival 19727 statistics and the same tolerable average delay. The SSF Scheme is 19728 designed mainly for a system where nodes are heterogeneous with 19729 different tolerable average packet delay. Simulation results show that 19730 the power efficiency of our algorithm is comparable to the bound on 19731 performance that is obtained from the one-user dynamic programming 19732 formulation. Published by Elsevier B.V. 19733 C1 San Diego State Univ, Dept Elect & Comp Engn, San Diego, CA 92182 USA. 19734 Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA. 19735 RP Sarkar, M, San Diego State Univ, Dept Elect & Comp Engn, San Diego, CA 19736 92182 USA. 19737 EM msarkar2@mail.sdsu.edu 19738 cruz@ece.ucsd.edu 19739 CR *IEEE COMP SOC, 1997, 80211 IEEE COMP SOC 19740 BENINI L, 1998, INT S LOW POW EL DES, P173 19741 BENINI L, 1999, IEEE T COMPUT AID D, V18, P813 19742 BERTSEKAS DP, 1987, DYNAMIC PROGRAMMING, V126 19743 CHEN B, 2001, P ACM IEEE 7 INT C M 19744 CHUNG E, 1999, DESIGN AUTOMATION TE, P77 19745 CHUNG E, 1999, INT C COMP AID DES 19746 COLLINS BE, 1999, P 1999 ALL C COMM CO 19747 DEBNATH G, 1995, INT C VLSI DES JAN, P185 19748 DOUGLIS F, 1995, 2 USENIX S MOB LOC I, P121 19749 FEENEY LM, 2001, P IEEE INFOCOM 19750 GARY S, 1994, IEEE DES TEST COMPUT, V11, P14 19751 HWANG CH, 1997, INT C COMP AID DES, P28 19752 KARLIN A, 1994, ALGORITHMICA, P542 19753 QIU Q, 1999, DESIGN AUTOMATION C, P555 19754 QIU QR, 2000, DES AUT CON, P352 19755 RAMANATHAN D, 2000, AUTOMATION TEST EURO, P606 19756 SALKINTZIS AK, 1998, IEEE T COMMUN, V46, P1194 19757 SCHURGERS C, 2002, THESIS U CALIFORNIA 19758 SENNOTT LI, 1999, STOCHASTIC DYNAMIC P 19759 SIMUNIC T, 1999, INT S SYST SYNTH, P18 19760 SIMUNIC T, 2000, INT S LOW POW EL DES, P49 19761 SIMUNIC T, 2001, THESIS STANFORD U 19762 SRIVASTAVA MB, 1996, IEEE T VLSI SYST, V4, P42 19763 ZHENG R, 2003, P 22 ANN JOINT C IEE 19764 NR 25 19765 TC 0 19766 PU ELSEVIER SCIENCE BV 19767 PI AMSTERDAM 19768 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 19769 SN 1389-1286 19770 J9 COMPUT NETW 19771 JI Comput. Netw. 19772 PD OCT 10 19773 PY 2007 19774 VL 51 19775 IS 14 19776 BP 4005 19777 EP 4031 19778 PG 27 19779 SC Computer Science, Hardware & Architecture; Computer Science, 19780 Information Systems; Engineering, Electrical & Electronic; 19781 Telecommunications 19782 GA 204XI 19783 UT ISI:000249076900004 19784 ER 19785 19786 PT J 19787 AU Wiles, CM 19788 Dawson, K 19789 Hughes, TAT 19790 Liewelyn, JG 19791 Morris, HR 19792 Pickersgill, TP 19793 Robertson, NP 19794 Smith, PEM 19795 AF Wiles, C. M. 19796 Dawson, K. 19797 Hughes, T. A. T. 19798 Liewelyn, J. G. 19799 Morris, H. R. 19800 Pickersgill, T. P. 19801 Robertson, N. P. 19802 Smith, P. E. M. 19803 TI Clinical skills evaluation of trainees in a neurology department 19804 SO CLINICAL MEDICINE 19805 LA English 19806 DT Article 19807 DE direct observation of procedural skills; mini-clinical evaluation 19808 exercise; neurology; performance; trainees 19809 AB Three to 12 evaluations of clinical performance using the mini-clinical 19810 evaluation exercise (Mini-CEX) (n=124) or direct observation of 19811 procedural skills (DOPS) (n=21) were performed on 27 trainees working 19812 in an NHS neurology department. The communications/counselling skills 19813 subdomain was scored in 64 evaluations. For Mini-CEX the focus was on 19814 gathering data (22%), diagnosis (31%), management (34%) and counselling 19815 (7%) (focus not recorded in 6%). For DOPS, lumbar puncture was the most 19816 common evaluated procedure (57%). Mini-CEX evaluations lasted 23.8 19817 minutes (10.6) (mean, sd) and DOPS 25.9 minutes (12.6). Mini-CEX scores 19818 for overall competence and communication skills were mean 5.99 (sd 19819 0.95, range 4-8) and 5.98 (sd 1.21, range 3-9) and for DOPS 5.71 (sd 19820 0.90, range 4-8) both on scales of I to 9. Overall trainee competence 19821 and communication scores increased with year of training (p < 0.001, p 19822 < 0.004 univariate analysis). Assessors undertook up to three or four 19823 assessments in a session. Assessors and trainees considered that the 19824 observation and feedback had been 'very' or 'quite' useful in providing 19825 a relevant element of assessment. These assessments were feasible and 19826 useful in a neurology department and provided some evidence for 19827 increasing performance with trainee seniority. More assessor time 19828 (approximately one hour) than trainee time (24-26 min) was needed for 19829 each assessment undertaken. 19830 C1 Cardiff & Vale NHS Trust, Dept Neurol, Cardiff CF14 4XN, Wales. 19831 Univ Cardiff Wales, Dept Neurol, Cardiff, Wales. 19832 Gwent NHS Trust, Dept Neurol, Newport, Gwent, Wales. 19833 RP Wiles, CM, Cardiff & Vale NHS Trust, Dept Neurol, Hlth Pk, Cardiff CF14 19834 4XN, Wales. 19835 EM wiles@cf.ac.uk 19836 CR EPSTEIN RM, 2007, NEW ENGL J MED, V356, P387 19837 KOGAN JR, 2003, ACAD MED S, V78, S33 19838 NORCINI JJ, 1995, ANN INTERN MED, V123, P79 19839 NORCINI JJ, 2003, ANN INTERN MED, V138, P476 19840 SOUTHGATE L, 2001, MED EDUC, V35, P474 19841 NR 5 19842 TC 0 19843 PU ROY COLL PHYS LONDON EDITORIAL OFFICE 19844 PI LONDON 19845 PA 11 ST ANDREWS PLACE REGENTS PARK, LONDON NW1 4LE, ENGLAND 19846 SN 1470-2118 19847 J9 CLIN MED 19848 JI Clin. Med. 19849 PD AUG 19850 PY 2007 19851 VL 7 19852 IS 4 19853 BP 365 19854 EP 369 19855 PG 5 19856 SC Medicine, General & Internal 19857 GA 201NK 19858 UT ISI:000248838700016 19859 ER 19860 19861 PT J 19862 AU Tesauro, G 19863 Jong, NK 19864 Das, R 19865 Bennani, MN 19866 AF Tesauro, Gerald 19867 Jong, Nicholas K. 19868 Das, Rajarshi 19869 Bennani, Mohamed N. 19870 TI On the use of hybrid reinforcement learning for autonomic resource 19871 allocation 19872 SO CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND 19873 APPLICATIONS 19874 LA English 19875 DT Article 19876 DE reinforcement learning; resource allocation; performance management; 19877 policy learning 19878 AB Reinforcement Learning (RL) provides a promising new approach to 19879 systems performance management that differs radically from standard 19880 queuing-theoretic approaches making use of explicit system performance 19881 models. In principle, RL can automatically learn high-quality 19882 management policies without an explicit performance model or traffic 19883 model, and with little or no built-in system specific knowledge. In our 19884 original work (Das, R., Tesauro, G., Walsh, W.E.: IBM Research, Tech. 19885 Rep. RC23802 (2005), Tesauro, G.: In: Proc. of AAAI-05, pp. 886-891 19886 (2005), Tesauro, G., Das, R., Walsh, W.E., Kephart, J.O.: In: Proc. of 19887 ICAC-05, pp. 342-343 (2005)) we showed the feasibility of using online 19888 RL to learn resource valuation estimates (in lookup table form) which 19889 can be used to make high-quality server allocation decisions in a 19890 multi-application prototype Data Center scenario. The present work 19891 shows how to combine the strengths of both RL and queuing models in a 19892 hybrid approach, in which RL trains offline on data collected while a 19893 queuing model policy controls the system. By training offline we avoid 19894 suffering potentially poor performance in live online training. We also 19895 now use RL to train nonlinear function approximators (e.g. multi-layer 19896 perceptrons) instead of lookup tables; this enables scaling to 19897 substantially larger state spaces. Our results now show that, in both 19898 open-loop and closed-loop traffic, hybrid RL training can achieve 19899 significant performance improvements over a variety of initial 19900 model-based policies. We also find that, as expected, RL can deal 19901 effectively with both transients and switching delays, which lie 19902 outside the scope of traditional steady-state queuing theory. 19903 C1 IBM TJ Watson Res Ctr, Hawthorne, NY 10532 USA. 19904 Univ Texas, Dept Comp Sci, Austin, TX 78712 USA. 19905 Oracle Inc, Portland, OR 97204 USA. 19906 RP Tesauro, G, IBM TJ Watson Res Ctr, 19 Skyline Dr, Hawthorne, NY 10532 19907 USA. 19908 EM gtesauro@us.ibm.com 19909 nkj@cs.utexas.edu 19910 rajarshi@us.ibm.com 19911 mohamed.bennani@oracle.com 19912 CR *IBM, POWEREXECUTIVE 19913 *IBM, TIV INT ORCH PROD OV 19914 *IBM, WEBSPH BENCHM SAMPL 19915 *IBM, WEBSPH EXT DEV 19916 BAIRD L, 1995, P ICML 95 19917 BARRON AR, 1991, NONPARAMETRIC FUNCTI 19918 BELLMAN RE, 1957, DYNAMIC PROGRAMMING 19919 BENNANI M, 2004, P 1 INT C AUT COMP I, P62 19920 BENNANI M, 2005, P IEEE INT C AUT COM, P229 19921 CHANDRA A, 2003, P ACM IEEE INT WORKS, P381 19922 DAS R, 2005, RC23802 IBM RES 19923 HELLERSTEIN JL, 2004, FEEDBACK CONTROL COM 19924 KEPHART JO, 2003, COMPUTER, V36, P41 19925 LAGOUDAKIS M, 2003, J MACHINE LEARNING R, V4, P1107 19926 MENASCE DA, 2004, PERFORMANCE DESIGN C 19927 MOODY J, 2001, IEEE T NEURAL NETWOR, V12, P875 19928 NG AY, 2004, INT S EXP ROB 19929 PRADHAN P, 2002, P INT WORKSH QUAL SE, P13 19930 PRICE B, 2003, J ARTIF INTELL RES, V19, P569 19931 RUMELHART DE, 1987, FDN PARALLED DISTRIB, V1, P318 19932 SCHAAL S, 1997, ADV NEUR IN, V9, P1040 19933 SINGH S, 1998, ADV NEUR IN, V10, P1057 19934 SMART WD, 2002, P INT C ROB AUT ICRA 19935 SQUILLANTE MS, 1999, SYSTEM PERFORMANCE E, P23 19936 SRIDHARAN M, 2000, P 17 INT C MACH LEAR, P927 19937 SUTTON RS, 1998, REINFORCEMENT LEARNI 19938 TESAURO G, 1995, COMMUN ACM, V38, P58 19939 TESAURO G, 2005, P 2 INT C AUT COMP I, P342 19940 TESAURO G, 2005, P AAAI, P886 19941 TESAURO G, 2006, P ICAC 06, P65 19942 URGAONKAR B, 2005, P ACM INT C MEAS MOD, P291 19943 VENGEROV D, 2005, P INT C AUT COMP ICA, P339 19944 VENGEROV D, 2005, TR2005141 SUN MICR 19945 WALSH WE, 2004, P INT C AUT COMP, P70 19946 WATKINS C, 1989, THESIS CAMBRIDGE U 19947 WHITESON S, 2004, ENG APPL ARTIF INTEL, V17, P855 19948 NR 36 19949 TC 0 19950 PU SPRINGER 19951 PI NEW YORK 19952 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 19953 SN 1386-7857 19954 J9 CLUSTER COMPUT 19955 JI Cluster Comput. 19956 PD SEP 19957 PY 2007 19958 VL 10 19959 IS 3 19960 BP 287 19961 EP 299 19962 PG 13 19963 SC Computer Science, Information Systems; Computer Science, Theory & 19964 Methods 19965 GA 204OC 19966 UT ISI:000249052900004 19967 ER 19968 19969 PT J 19970 AU Butler, R 19971 Servilla, M 19972 Gage, S 19973 Basney, J 19974 Welch, V 19975 Baker, B 19976 Fleury, T 19977 Duda, P 19978 Gehrig, D 19979 Bletzinger, M 19980 Tao, J 19981 Freemon, DM 19982 AF Butler, Randy 19983 Servilla, Mark 19984 Gage, Stuart 19985 Basney, Jim 19986 Welch, V. 19987 Baker, Bill 19988 Fleury, Terry 19989 Duda, Patrick 19990 Gehrig, David 19991 Bletzinger, Michael 19992 Tao, Jing 19993 Freemon, D. Michael 19994 TI Cyberinfrastructure for the analysis of ecological acoustic sensor 19995 data: a use case study in grid deployment 19996 SO CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND 19997 APPLICATIONS 19998 LA English 19999 DT Article 20000 DE acoustic signal analysis; case study; grid; security 20001 AB The LTER Grid Pilot Study was conducted by the National Center for 20002 Supercomputing Applications, the University of New Mexico, and Michigan 20003 State University, to design and build a prototype grid for the 20004 ecological community. The featured grid application, the Biophony Grid 20005 Portal, manages acoustic data from field sensors and allows researchers 20006 to conduct real-time digital signal processing analysis on 20007 high-performance systems via a web-based portal. Important 20008 characteristics addressed during the study include the management, 20009 access, and analysis of a large set of field collected acoustic 20010 observations from microphone sensors, single signon, and data 20011 provenance. During the development phase of this project, new features 20012 were added to standard grid middleware software and have already been 20013 successfully leveraged by other, unrelated grid projects. This paper 20014 provides an overview of the Biophony Grid Portal application and 20015 requirements, discusses considerations regarding grid architecture and 20016 design, details the technical implementation, and summarizes key 20017 experiences and lessons learned that are generally applicable to all 20018 developers and administrators in a grid environment. 20019 C1 Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61821 USA. 20020 Univ New Mexico, LTER Network Off, Albuquerque, NM 87131 USA. 20021 Michigan State Univ, Kellogg Biol Stn, LTER, E Lansing, MI 48824 USA. 20022 Univ Calif Santa Barbara, Natl Ctr Ecol Anal & Synth, Santa Barbara, CA 93101 USA. 20023 RP Butler, R, Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL 61821 20024 USA. 20025 EM rbutler@ncsa.uiuc.edu 20026 servilla@LTERnet.edu 20027 sgage@msu.edu 20028 jbasney@ncsa.uiuc.edu 20029 vwelch@ncsa.uiuc.edu 20030 bbaker@ncsa.uiuc.edu 20031 tfleury@ncsa.uiuc.edu 20032 pduda@ncsa.uiuc.edu 20033 dgehrig@ncsa.uiuc.edu 20034 mbletzin@ncsa.uiuc.edu 20035 tao@nceas.ucsb.edu 20036 CR *KNB, KNB SOFTW MET 20037 BASNEY J, 2005, SOFTWARE PRACT EXPER, V35 20038 BASNEY J, 2005, SOFTWARE PRACT EXPER, V35, P801 20039 FLEURY T, USING X 509 PROXY CE 20040 GAGE SH, 1930, ENVIROSONICS EQUIPME 20041 GAGE SH, 2001, J ACOUST SOC AM, V109, P2430 20042 GAMMA E, 1995, DESIGN PATTERNS ELEM, P139 20043 GULLAPALLI S, 2004, 13 IEEE INT S HIGH P, P268 20044 KANDASWAMY G, 2006, IBM J RES DEV, V50, P249 20045 KORNIEVSKAIA O, 2001, 10 US SEC S 20046 KRISHNAN S, TR20065 SDSC 20047 LASZEWSKI G, 2001, CONCURR COMP-PRACT E, V13, P643 20048 PORTER J, 2005, BIOSCIENCE, V55, P561 20049 SOTOMAYOR B, 2005, GLOBUS TOOLKIT 4 PRO 20050 TUECKE S, 2004, INTERNET X 509 PUBLI 20051 NR 15 20052 TC 0 20053 PU SPRINGER 20054 PI NEW YORK 20055 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 20056 SN 1386-7857 20057 J9 CLUSTER COMPUT 20058 JI Cluster Comput. 20059 PD SEP 20060 PY 2007 20061 VL 10 20062 IS 3 20063 BP 301 20064 EP 310 20065 PG 10 20066 SC Computer Science, Information Systems; Computer Science, Theory & 20067 Methods 20068 GA 204OC 20069 UT ISI:000249052900005 20070 ER 20071 20072 PT J 20073 AU Nelson, ME 20074 Rejeski, WJ 20075 Blair, SN 20076 Duncan, PW 20077 Judge, JO 20078 King, AC 20079 Macera, CA 20080 Castaneda-Sceppa, C 20081 AF Nelson, Miriam E. 20082 Rejeski, W. Jack 20083 Blair, Steven N. 20084 Duncan, Pamela W. 20085 Judge, James O. 20086 King, Abby C. 20087 Macera, Carol A. 20088 Castaneda-Sceppa, Carmen 20089 TI Physical activity and public health in older adults - Recommendation 20090 from the American college of sports medicine and the American heart 20091 association 20092 SO CIRCULATION 20093 LA English 20094 DT Article 20095 DE older adults; physical activity; benefits; risks; health 20096 ID RANDOMIZED CONTROLLED-TRIAL; CLINICAL CARDIOLOGY; 20097 CARDIOVASCULAR-DISEASE; EXERCISE; PREVENTION; MANAGEMENT; 20098 REHABILITATION; INTERVENTIONS; SUBCOMMITTEE; PERFORMANCE 20099 AB Objective-To issue a recommendation on the types and amounts of 20100 physical activity needed to improve and maintain health in older adults. 20101 Participants-A panel of scientists with expertise in public health, 20102 behavioral science, epidemiology, exercise science, medicine, and 20103 gerontology. 20104 Evidence-The expert panel reviewed existing consensus statements and 20105 relevant evidence from primary research articles and reviews of the 20106 literature. 20107 Process: After drafting a recommendation for the older adult population 20108 and reviewing drafts of the Updated Recommendation from the American 20109 College of Sports Medicine (ACSM) and the American Heart Association 20110 (AHA) for Adults, the panel issued a final recommendation on physical 20111 activity for older adults. 20112 Summary-The recommendation for older adults is similar to the updated 20113 ACSM/AHA recommendation for adults, but has several important 20114 differences including: the recommended intensity of aerobic activity 20115 takes into account the older adult's aerobic fitness; activities that 20116 maintain or increase flexibility are recommended; and balance exercises 20117 are recommended for older adults at risk of falls. In addition, older 20118 adults should have an activity plan for achieving recommended physical 20119 activity that integrates preventive and therapeutic recommendations. 20120 The promotion of physical activity in older adults should emphasize 20121 moderate-intensity aerobic activity, muscle-strengthening activity, 20122 reducing sedentary behavior, and risk management. 20123 C1 Tufts Univ, Medford, MA 02155 USA. 20124 Wake Forest Univ, Winston Salem, NC 27109 USA. 20125 Univ S Carolina, Columbia, SC 29208 USA. 20126 Duke Univ, Durham, NC 27706 USA. 20127 Univ Connecticut, Storrs, CT 06269 USA. 20128 Stanford Univ, Stanford, CA 94305 USA. 20129 San Diego State Univ, San Diego, CA 92182 USA. 20130 RP Nelson, ME, Tufts Univ, Medford, MA 02155 USA. 20131 EM kelle.ramsay@wolterskluwer.com 20132 CR 2002, J AM GERIATR SOC S, V50, S205 20133 *AM COLL CARD AM H, 2006, METH MAN ACC AHA GUI 20134 *AM COLL SPORTS ME, 1998, MED SCI SPORTS EXERC, V30, P975 20135 *AM COLL SPORTS ME, 2004, MED SCI SPORTS EXERC, V36, P533 20136 *CDCP, 2003, MMWR-MORBID MORTAL W, V52, P764 20137 *CDCP, 2004, MORBIDITY MORTALITY, V53, P82 20138 *HEALTH CANADA, 1999, CAN PHYS ACT GUID HL 20139 *NAT COMM QUAL ASS, 2005, HEDIS, V2 20140 *SCOTTISH INTERCOL, 2002, PROPH VEN THROMB 20141 *US DEP HHS, 1996, REP SURG GEN ATL GA 20142 *US DEP HHS, 2000, OBJECTIVES IMPROVING, V22, P22 20143 *US DEP HHS, 2001, MMWR-MORBID MORTAL W, V53, P25 20144 *US DEP HHS, 2004, BON HLTH OST 20145 *US GOV PRIN OFF, 2004, FED INT FOR AG REL S 20146 ABBOTT RD, 2004, JAMA-J AM MED ASSOC, V292, P1447 20147 ALTMAN RD, 2000, ARTHRITIS RHEUM, V43, P1905 20148 BERG AO, 2003, ANN INTERN MED, V139, P930 20149 BORG G, 1982, MED SCI SPORTS EXERC, V14, P377 20150 BRIGNOLE M, 2001, EUR HEART J, V22, P1256 20151 BROSSE AL, 2002, SPORTS MED, V32, P741 20152 BUCHNER DM, 1994, PHYS MED REHABIL CLI, V5, P357 20153 CHOBANIAN AV, 2003, JAMA-J AM MED ASSOC, V289, P2560 20154 DESAI MM, 1999, MOR MORTAL WKLY REP, V48, P7 20155 DOODY RS, 2001, NEUROLOGY, V56, P1154 20156 FLETCHER GF, 2001, CIRCULATION, V104, P1694 20157 FRANKLIN BA, 2000, ACSMS GUIDELINES EXE, P137 20158 GELIEBTER A, 1997, AM J CLIN NUTR, V66, P557 20159 GOING S, 2003, OSTEOPOROSIS INT, V14, P637 20160 GORDON NF, 2004, CIRCULATION, V109, P2031 20161 HAGEN KB, 2002, SPINE, V27, P1736 20162 HASKELL WL, 2007, MED SCI SPORT EXER, V39, P1423 20163 HOOTMAN JM, 2002, MED SCI SPORT EXER, V34, P838 20164 JANSSEN I, 2006, MED SCI SPORT EXER, V38, P418 20165 KAHN EB, 2002, AM J PREV MED S, V22, P73 20166 KATZ P, 2001, J AM GERIATR SOC, V49, P808 20167 KESANIEMI YA, 2001, MED SCI SPORT EXER S, V33, S351 20168 KEYSOR JJ, 2003, AM J PREV MED S2, V25, P129 20169 KING A, 2000, J GERONTOL A-BIOL, V5, M74 20170 KING AC, 1997, JAMA-J AM MED ASSOC, V277, P32 20171 LARSON EB, 2006, ANN INTERN MED, V144, P73 20172 LATHAM N, 2003, COCHRANE DB SYST REV 20173 LEE I, 2001, MED SCI SPORT EXER S, V33, S93 20174 LEE IM, 2001, MED SCI SPORT EXER S, V33, S459 20175 LOUCKS AB, 1998, J APPL PHYSIOL, V84, P37 20176 LUNDEBJERG N, 2001, J AM GERIATR SOC, V49, P664 20177 MANSON JE, 2002, NEW ENGL J MED, V347, P716 20178 MARTINSON BC, 2003, PREV MED, V37, P319 20179 MCDERMOTT MM, 2006, ANN INTERN MED, V144, P10 20180 NELSON ME, 2004, J GERONTOL A-BIOL, V59, P154 20181 ORY M, 2005, ANN BEHAV MED S, V29, P20 20182 PAHOR M, 2006, J GERONTOL A-BIOL, V61, P1157 20183 PATE RR, 1995, JAMA-J AM MED ASSOC, V273, P402 20184 PAUWELS RA, 2001, AM J RESP CRIT CARE, V163, P1256 20185 PEMBERTON J, 2001, GASTROENTEROLOGY, V119, P1761 20186 PENNINX BWJH, 2001, ARCH INTERN MED, V161, P2309 20187 POLLOCK ML, 2000, CIRCULATION, V101, P828 20188 POPE AM, 1991, DISABILITY AM NATL A, P76 20189 REMME WJ, 2001, EUR HEART J, V22, P1527 20190 ROBERTSON MC, 2002, J AM GERIATR SOC, V50, P905 20191 SIGAL RJ, 2004, DIABETES CARE, V27, P2518 20192 SINGH MAF, 2002, CLIN GERIATR MED, V18, P431 20193 SINGH NA, 1997, SLEEP, V20, P95 20194 STEWART KJ, 2002, NEW ENGL J MED, V347, P1941 20195 THACKER SB, 2004, MED SCI SPORT EXER, V36, P371 20196 THOMPSON PD, 2003, CIRCULATION, V107, P3109 20197 TSENG BS, 1995, J GERONTOL A-BIOL, V50, P113 20198 WEUVE J, 2004, JAMA-J AM MED ASSOC, V292, P1454 20199 NR 67 20200 TC 0 20201 PU LIPPINCOTT WILLIAMS & WILKINS 20202 PI PHILADELPHIA 20203 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 20204 SN 0009-7322 20205 J9 CIRCULATION 20206 JI Circulation 20207 PD AUG 28 20208 PY 2007 20209 VL 116 20210 IS 9 20211 BP 1094 20212 EP 1105 20213 PG 12 20214 SC Cardiac & Cardiovascular Systems; Hematology; Peripheral Vascular 20215 Disease 20216 GA 204GF 20217 UT ISI:000249031100014 20218 ER 20219 20220 PT J 20221 AU Zhang, ZM 20222 Yang, XY 20223 Deng, SH 20224 Xu, W 20225 Gao, HQ 20226 AF Zhang Zhi-mian 20227 Yang Xiao-yun 20228 Deng Shu-hai 20229 Xu Wei 20230 Gao Hai-qing 20231 TI Anti-tumor effects of polybutylcyanoacrylate nanoparticles of diallyl 20232 trisulfide on orthotopic transplantation tumor model of hepatocellular 20233 carcinoma in BALB/c nude mice 20234 SO CHINESE MEDICAL JOURNAL 20235 LA English 20236 DT Article 20237 DE hepatocellular; polybutylcyanoacrylate; nanoparticles; model, animal, 20238 orthotopic transplantation 20239 ID PROSTATE-CANCER CELLS; XENOGRAFTS IN-VIVO; CYCLE ARREST; ORGANOSULFUR 20240 COMPOUNDS; APOPTOSIS; GROWTH; EXPRESSION; SIGNAL; BCL-2; GENE 20241 AB Background Hepatocellular carcinoma (HCC) ranked the second among the 20242 causes of cancer mortality in China since the 1990s. Up to now, 20243 medication still plays an important role in the treatment of HCC. The 20244 therapies based on the allicin as a potential chemopreventive analog 20245 although is in its infancy at the present time, may have a significant 20246 role in the future management of HCC. Diallyl trisulfide (DATS) is a 20247 natural compound derived from garlic. In this study, we investigated 20248 the inhibitory effects of hepatic targeted polybutylcyanoacrylate 20249 nanoparticles of diallyl trisulfide (DATS-PBCA-NP) on orthotopic 20250 transplanted HepG2 hepatocellular carcinoma in nude mice. 20251 Methods DATS-PBCA-NP were detected by transmission electron microscope 20252 (TEM) and high-performance liquid chromatography (HPLC). The orthotopic 20253 transplantation HCC models were established by implanting HCC HepG2 20254 xenograft bits under the envelope of the mice liver. Successful models 20255 (n=29) were divided into 4 groups: normal saline (NS), empty 20256 nanoparticles (EN), DATS and DATS-PBCA-NP were intravenously 20257 administered to the mice respectively for 2 weeks. In vivo antitumor 20258 efficacy was evaluated by the measurement of tumor volume. Terminal 20259 deoxynucleotidyl transferase mediated dUTP nick end labeling (TUNEL) 20260 assay and protein levels of apoptosis and cell proliferation proteins 20261 by immunoblotting in tumor tissues were performed to elucidate the 20262 possible mechanism. 20263 Results DATS-PBCA-NP possessed smooth and round appearance, dispersed 20264 well, and released in vitro in accord with double phase kinetics model. 20265 DATS-PBCA-NP changed the tissue/organ distribution of DATS in vivo. The 20266 successful rate of tumor implantation was 100%. Intravenous 20267 administration of DATS-PBCA-NP significantly retarded the growth of 20268 orthotopically transplanted hepatoma in BALB/c nude mice (compared with 20269 the other three groups, all P < 0.05) without causing weight loss (P > 20270 0.05). TUNEL staining showed that the tumors from DATS-PBCA-NP treated 20271 mice exhibited a markedly higher apoptotic index compared with control 20272 tumors. Western blot analysis of tumor tissue revealed that the 20273 down-regulated expression of proliferation cell nuclear antigen (PCNA) 20274 and Bcl-2 proteins in DATS-PBCA-NP group, and there were no significant 20275 differences in the expression of Fas, FasL and Bax proteins among the 20276 four groups (P > 0.05). 20277 Conclusions DATS-PBCA-NP has good prolonged release effect in vivo and 20278 hepatic-targeted activity, and significant anti-tumor effect on the 20279 orthotopic transplantation HCC model in mice in association with the 20280 suppression of proliferation and the induction of apoptosis of tumor 20281 cells. These advantages are probably due to their liver targeting 20282 characteristics and consequently bring a higher anti-tumor activity. 20283 C1 Shandong Univ, Qilu Hosp, Hlth Examinat Ctr, Dept Hlth Care, Jinan 250012, Peoples R China. 20284 Shandong Univ, Coll Pharm, Dept Pharmaceut, Jinan 50012, Peoples R China. 20285 RP Zhang, ZM, Shandong Univ, Qilu Hosp, Hlth Examinat Ctr, Dept Hlth Care, 20286 Jinan 250012, Peoples R China. 20287 EM sdmalei@126.com 20288 CR ANTOSIEWICZ J, 2006, CANCER RES, V66, P5379 20289 CHEN HS, 1993, J VIROL, V67, P1218 20290 CONNOLLY KM, 1993, J HISTOCHEM CYTOCHEM, V41, P1 20291 FIDLER IJ, 1990, CANCER RES, V50, P6130 20292 GAO HQ, 2001, ACTA ANAT SIN, V32, P290 20293 GROSS A, 1999, GENE DEV, V13, P1899 20294 HARADA K, 2005, CANCER LETT, V226, P161 20295 HERMANANTOSIEWICZ A, 2004, MUTAT RES-FUND MOL M, V555, P121 20296 JAKUBIKOVA J, 2006, NEOPLASMA, V53, P191 20297 LI N, 2006, CARCINOGENESIS, V27, P1222 20298 LIANG ZH, 2004, CHINESE MED J-PEKING, V117, P1809 20299 MANZOTTI C, 1993, CLIN EXP METASTAS, V11, P5 20300 MULLERGOYMANN CC, 2004, EUR J PHARM BIOPHARM, V58, P343 20301 PORTIER BP, 2006, J BIOL CHEM, V281, P40493 20302 QIN ZH, 2001, J BIOL CHEM, V276, P8079 20303 SINGH AV, 2004, CARCINOGENESIS, V25, P83 20304 SRIVASTAVA SK, 2003, CARCINOGENESIS, V24, P1665 20305 TSAI CW, 2005, J NUTR, V135, P2560 20306 XIAO D, 2004, ONCOGENE, V23, P5594 20307 XIAO D, 2006, CLIN CANCER RES, V12, P6836 20308 XIAO D, 2006, NUTR CANCER, V55, P94 20309 XIAO XL, 2006, CHIN J CANC, V25, P1247 20310 YOSHI J, 2001, INT J CANCER, V94, P768 20311 YOSHIJI H, 1998, INT J CANCER, V75, P81 20312 ZHANG ZM, 2006, CHINESE MED J-PEKING, V119, P422 20313 ZHONG N, 2005, WORLD CHIN J DIGESTO, V13, P743 20314 ZHOU Z, 2005, PHARMACOL REP, V57, P818 20315 NR 27 20316 TC 0 20317 PU CHINESE MEDICAL ASSOC 20318 PI BEIJING 20319 PA 42 DONGSI XIDAJIE, BEIJING 100710, PEOPLES R CHINA 20320 SN 0366-6999 20321 J9 CHIN MED J 20322 JI Chin. Med. J. 20323 PD AUG 5 20324 PY 2007 20325 VL 120 20326 IS 15 20327 BP 1336 20328 EP 1342 20329 PG 7 20330 SC Medicine, General & Internal 20331 GA 205SG 20332 UT ISI:000249134300008 20333 ER 20334 20335 PT J 20336 AU Valencia, M 20337 Badia, JR 20338 Cavalcanti, M 20339 Ferrer, M 20340 Agusti, C 20341 Angrill, J 20342 Garcia, E 20343 Mensa, J 20344 Niedeman, MS 20345 Torres, A 20346 AF Valencia, Mauricio 20347 Badia, Joan R. 20348 Cavalcanti, Mannela 20349 Ferrer, Miquel 20350 Agusti, Carles 20351 Angrill, Joaquin 20352 Garcia, Elisa 20353 Mensa, Josep 20354 Niedeman, Michael S. 20355 Torres, Antoni 20356 TI Pneumonia severity index class V patients with community-acquired 20357 pneumonia - Characteristics, outcomes, and value of severity scores 20358 SO CHEST 20359 LA English 20360 DT Article 20361 DE antibiotics; critical care; decision making; infection; pneumonia 20362 ID INTENSIVE-CARE-UNIT; PROGNOSTIC FACTORS; GUIDELINES; ADULTS; RISK; 20363 POPULATION; VALIDATION; MANAGEMENT; CRITERIA; RULES 20364 AB Background: Community-acquired pneumonia (CAP) with a pneumonia 20365 severity index (PSI) score in risk class V (PSI-V) is a potentially 20366 life-threatening condition, yet the majority of patients are not 20367 admitted to the ICU. The aim of this study was to characterize CAP 20368 patients in PSI-V to determine the risk factors for ICU admission and 20369 mortality, and to assess the performance of CAP severity scores in this 20370 population. 20371 Methods: Prospective observational study including hospitalized adults 20372 with CAP in PSI-V from 1996 to 2003. Clinical and laboratory data, 20373 microbiological findings, and outcomes were recorded. The PSI score; 20374 modified American Thoracic Society (ATS) score; the confusion, urea, 20375 respiratory rate, low BP (CURB) score, and CURB plus age of 65 years 20376 score were calculated. A reduced score based on the acute illness 20377 variables contained in the PSI was also obtained. 20378 Results: A total of 457 patients were included in the study (mean [+/- 20379 SD] age, 79 +/- 11 years), of whom 92 (20%) were admitted to the ICU. 20380 Patients in the ward were older (mean age, 82 +/- 10 vs 70 +/- 10 20381 years, respectively) and had more comorbidities. ICU patients 20382 experienced significantly more acute organ failures. The mortality rate 20383 was higher in ICU patients, but also was high for non-ICU patients (37% 20384 vs; 20%, respectively; p = 0,003). A low level of consciousness (odds 20385 ratio [OR], 3.95; 95% confidence interval [CI], 2 to 5) and shock (OR, 20386 24.7; 95% C1, 14 to 44) were associated with a higher risk of death. 20387 The modified ATS severity rule had the best accuracy in predicting ICU 20388 admission and mortality. 20389 Conclusions: Most CAP patients PSI-V were treated on a hospital ward. 20390 Those admitted to the ICU were younger and had findings of more acute 20391 illness. The PSI performed well as a mortality prediction tool but was 20392 less appropriate for guiding site-of-care decisions. 20393 C1 Hosp Clin Barcelona, ICT, Serv Pneumol, E-08036 Barcelona, Spain. 20394 Univ Barcelona, Fac Med,Inst Investigac Biomed August Pi & Sunyer, Hosp Clin Barcelona,Serv Malalties Infeccioses, Inst Clin Med & Dermatol, Barcelona 7, Spain. 20395 Winthrop Univ Hosp, Mineola, NY 11501 USA. 20396 RP Torres, A, Hosp Clin Barcelona, ICT, Serv Pneumol, C Villarroel 170, 20397 E-08036 Barcelona, Spain. 20398 EM atorres@ub.edu 20399 CR *AM THOR SOC INF D, 2005, AM J RESP CRIT CARE, V171, P388 20400 *BRIT THOR SOC, 2001, THORAX S4, V56, P1 20401 ALMIRALL J, 1995, CHEST, V107, P511 20402 ALMIRALL J, 2000, EUR RESPIR J, V15, P757 20403 ANGUS DC, 2002, AM J RESP CRIT CARE, V166, P717 20404 BALOWS A, 1991, MANUAL CLIN MICROBIO, P209 20405 BODI M, 2005, CLIN INFECT DIS, V41, P1709 20406 EWIG S, 1998, AM J RESP CRIT CARE, V158, P1102 20407 EWIG S, 1999, EUR RESPIR J, V14, P370 20408 EWIG S, 2004, THORAX, V59, P421 20409 FEAGAN BG, 2000, CAN MED ASSOC J, V162, P1415 20410 FINE MJ, 1996, JAMA-J AM MED ASSOC, V275, P134 20411 FINE MJ, 1997, NEW ENGL J MED, V336, P243 20412 FINE MJ, 1999, ARCH INTERN MED, V159, P970 20413 GEORGES H, 1999, INTENS CARE MED, V25, P143 20414 GUEST JF, 1997, EUR RESPIR J, V10, P1530 20415 KAPLAN V, 2002, AM J RESP CRIT CARE, V165, P766 20416 LEROY O, 1995, INTENS CARE MED, V21, P24 20417 LOEB MB, 2003, J AM GERIATR SOC, V51, P539 20418 MANDELL LA, 2003, CLIN INFECT DIS, V37, P1405 20419 MURRAY PR, 1975, MAYO CLIN P, V50, P339 20420 NERALLA S, 2004, DRUG AGING, V21, P851 20421 NIEDERMAN MS, 2001, AM J RESP CRIT CARE, V163, P1730 20422 NIEDERMAN MS, 2003, CLIN GERIATR MED, V19, P101 20423 RIQUELME R, 1996, AM J RESP CRIT CARE, V154, P1450 20424 YOSHIMOTO A, 2005, INTERNAL MED, V44, P710 20425 ZALACAIN R, 2003, EUR RESPIR J, V21, P294 20426 NR 27 20427 TC 0 20428 PU AMER COLL CHEST PHYSICIANS 20429 PI NORTHBROOK 20430 PA 3300 DUNDEE ROAD, NORTHBROOK, IL 60062-2348 USA 20431 SN 0012-3692 20432 J9 CHEST 20433 JI Chest 20434 PD AUG 20435 PY 2007 20436 VL 132 20437 IS 2 20438 BP 515 20439 EP 522 20440 PG 8 20441 SC Respiratory System 20442 GA 200RE 20443 UT ISI:000248779700025 20444 ER 20445 20446 PT J 20447 AU Hadi, G 20448 AF Hadi, G. 20449 TI Advances in maize breeding through the cumulative complex improvement 20450 of sources 20451 SO CEREAL RESEARCH COMMUNICATIONS 20452 LA English 20453 DT Article 20454 DE Zea mays; diversity; genetic resources; heterosis sources 20455 ID US HYBRID CORN; UNITED-STATES; EUROPE 20456 AB Maize breeding, on which the future of maize production is based, can 20457 be expected to undergo further important developments in the 2 1 (st) 20458 century. Opportunities for development are latent in a more scientific 20459 approach to production methods and in the better exploitation of the 20460 available genetic resources. There is no lack of favourable gene 20461 combinations contributing to higher yield (e.g. 20-22 t/ha). However, 20462 the genes and gene combinations controlling the improvement and 20463 stabilisation of performance are unfortunately scattered over various 20464 different races, varieties and individual plants, where they occur at 20465 low frequency. Combination breeding and, more recently, cumulative 20466 source management are designed to collect these genes and concentrate 20467 them in special parental lines and heterosis sources. The pure line 20468 method has been a basic procedure in maize breeding for the last 100 20469 years, and is likely to remain so for the next 100 years. Combination 20470 breeding and cumulative source management are an integral part of this 20471 method. The concentration of favourable genes has been facilitated to 20472 an unexpected extent by the use of this method. When breeding 20473 open-pollinated varieties all the gene combinations required had to be 20474 collected into a single population, while in the case of heterosis 20475 breeding it is sufficient if the inale and female parents each contain 20476 half the required gene combinations. These are then combined 20477 automatically in the course of crossing. Over the last 20 years too 20478 little attention has been paid to the breeding of basic material, so 20479 the number of heterosis sources has declined and some have become 20480 eroded due to unsupervised mixing. There have been few reports on the 20481 development of new heterosis sources vying in quality with earlier 20482 sources. In the course of hybrid maize breeding, closely related 20483 pedigrees have been crossed to develop new elite lines in the hope of 20484 quick results, Due to the lack of substantial initial divergence this 20485 is unlikely to result in any great increase in yield. Authoritative 20486 opinions consider this to be the reason for the slower rate of yield 20487 increase, and for the very small differences now existing between the 20488 yield levels of rival hybrids. 20489 C1 Hungarian Acad Sci, Agr Res Inst, H-2462 Martonvasar, Hungary. 20490 RP Hadi, G, Hungarian Acad Sci, Agr Res Inst, H-2462 Martonvasar, Hungary. 20491 EM hadig@mail.mgki.hu 20492 CR COMSTOCK RE, 1949, AGRON J, V41, P360 20493 DARRAH LL, 1986, CROP SCI, V26, P1109 20494 DUVICK DN, 1999, CROP SCI, V39, P1622 20495 GERDES JT, 1994, COMPILATION N AM MAI 20496 HADI G, 2003, ACTA AGRONOMICA HUNG, V51, P229 20497 HADI G, 2003, ACTA GRONOMICA HUNGA, V51, P11 20498 HADI G, 2004, ACTA AGRON HUNG, V52, P421 20499 HADI G, 2004, ACTA AGRON HUNG, V52, P69 20500 HADI G, 2004, CEREAL RES COMMUN, V32, P159 20501 HADI G, 2005, ACTA AGRON HUNG, V53, P109 20502 HADI G, 2005, CEREAL RES COMMUN, V33, P509 20503 HADI G, 2006, ACTA AGR HUNG, V34, P1307 20504 HADI G, 2006, ACTA AGRON HUNG, V54, P69 20505 HULL FH, 1945, J AM SOC AGRON, V37, P134 20506 JENKINS MT, 1940, J AM SOC AGRON, V32, P55 20507 JONES DF, 1918, CONNECTICUT AGR EXP, V207, P5 20508 LONNQUIST JH, 1974, P ANN CORN SORGHUM R, V29, P102 20509 POLLMER GW, 1971, P 5 M MAIZ SORGH EUC, P19 20510 SHULL GH, 1908, AM BREEDERS ASS REP, V4, P296 20511 SHULL GH, 1909, AM BREEDERS ASS REPT, V5, P51 20512 SPRAGUE GF, 1942, J AM SOC AGRON, V34, P923 20513 TROYER AF, 1999, CROP SCI, V39, P601 20514 TROYER AF, 2004, CROP SCI, V44, P370 20515 ZUBER MS, 1979, P CORN SORGHUM IND R, V35, P234 20516 NR 24 20517 TC 0 20518 PU CEREAL RES INST 20519 PI SZEGED 20520 PA POB 391, 6701 SZEGED, HUNGARY 20521 SN 0133-3720 20522 J9 CEREAL RES COMMUN 20523 JI Cereal Res. Commun. 20524 PD SEP 20525 PY 2007 20526 VL 35 20527 IS 3 20528 BP 1519 20529 EP 1526 20530 PG 8 20531 SC Agronomy 20532 GA 207MQ 20533 UT ISI:000249255600016 20534 ER 20535 20536 PT J 20537 AU Lam, DK 20538 Baker, R 20539 Swartz, CLE 20540 AF Lam, David K. 20541 Baker, Rhoda 20542 Swartz, Christopher L. E. 20543 TI Reference trajectory optimilmon under constrained predictive control 20544 SO CANADIAN JOURNAL OF CHEMICAL ENGINEERING 20545 LA English 20546 DT Article 20547 DE reference trajectory optimization; model predictive control; dynamic 20548 optimization; steady state transitions 20549 ID OPTIMAL-GRADE TRANSITION; REFERENCE MANAGEMENT; HARD CONSTRAINTS; 20550 LINEAR-SYSTEMS; POLYMERIZATION; REACTORS; DESIGN; MODELS; MPECS 20551 AB Chemical process systems often need to respond to frequently changing 20552 product demands. This motivates the determination of optimal 20553 transitions, subject to specification and operational constraints. 20554 However, direct implementation of optimal input trajectories would, in 20555 general, result in offset in the presence of disturbances and 20556 plant/model mismatch. This paper considers reference trajectory 20557 optimization of processes controlled by constrained model predictive 20558 control (MPC). Consideration of the closed-loop dynamics of the 20559 MPC-controlled process in the reference trajectory optimization results 20560 in a multi-level optimization problem. A solution strategy is applied 20561 in which the MPC quadratic programming subproblems are replaced by 20562 their Karush-Kuhn-Tucker optimality conditions, resulting in a 20563 single-level mathematical program with complementarity constraints 20564 (MPCC). The performance of the method is illustrated through 20565 application to two case studies, the second of which considers 20566 economically optimal grade transitions in a polymerization process. 20567 C1 McMaster Univ, Dept Chem Engn, Hamilton, ON L8S 4L7, Canada. 20568 RP Swartz, CLE, Matrikon Inc, Suite 1800, Edmonton, AB T5J 3N4, Canada. 20569 EM swartzc@mcmaster.ca 20570 CR ANGELI D, 1998, P IEEE INT C CONTR A, P746 20571 ASTEASUAIN M, 2006, CHEM ENG SCI, V61, P3362 20572 BAKER R, 2005, AICHE ANN M CINC 20573 BEMPORAD A, 1997, IEEE T AUTOMAT CONTR, V42, P340 20574 BEMPORAD A, 1998, AUTOMATICA, V34, P451 20575 CERVANTES AM, 2002, COMPUT CHEM ENG, V26, P227 20576 CHATZIDOUKAS C, 2003, CHEM ENG SCI, V58, P3673 20577 CUTLER CR, 1979, AICHE NAT M HOUST TE 20578 FLORESTLACUAHUAC A, 2006, IND ENG CHEM RES, V45, P6175 20579 KADAM J, 2003, FOCAPO, P593 20580 KADAM JV, 2007, AICHE J, V53, P627 20581 LUYBEN ML, 1994, COMPUT CHEM ENG, V18, P933 20582 MACIEJOWSKI JM, 2002, PREDICTIVE CONTROL C 20583 MANER BR, 1996, AUTOMATICA, V32, P1285 20584 MCAULEY KB, 1992, AICHE J, V38, P1564 20585 MCAULEY KB, 1993, AICHE J, V39, P855 20586 MUSKE KR, 1993, AICHE J, V39, P262 20587 QIN SJ, 2003, CONTROL ENG PRACT, V11, P733 20588 RAGHUNATHAN AU, 2003, COMPUT CHEM ENG, V27, P1381 20589 RALPH D, 2004, OPTIM METHOD SOFTW, V19, P527 20590 SUGIE T, 2001, P AMER CONTR CONF, P1426 20591 TAKEDA M, 1999, AICHE J, V45, P1776 20592 TOUSAIN RL, 2002, THESIS DELFT U TECHN 20593 WANG Y, 2000, COMPUT CHEM ENG, V24, P1555 20594 WRIGHT SJ, 1997, PRIMAL DUAL INTERIOR 20595 ZAFIRIOU E, 1990, COMPUT CHEM ENG, V14, P359 20596 NR 26 20597 TC 0 20598 PU CANADIAN SOC CHEMICAL ENGINEERING 20599 PI OTTAWA 20600 PA 130 SLATER ST, STE 550, OTTAWA, ONTARIO K1P 6E2, CANADA 20601 SN 0008-4034 20602 J9 CAN J CHEM ENG 20603 JI Can. J. Chem. Eng. 20604 PD AUG 20605 PY 2007 20606 VL 85 20607 IS 4 20608 BP 454 20609 EP 464 20610 PG 11 20611 SC Engineering, Chemical 20612 GA 207PA 20613 UT ISI:000249261800009 20614 ER 20615 20616 PT J 20617 AU Kleinwaechter, M 20618 Rickfelder, T 20619 AF Kleinwaechter, Meike 20620 Rickfelder, Thomas 20621 TI Habitat models for a riparian carabid beetle: their validity and 20622 applicability in the evaluation of river bank management 20623 SO BIODIVERSITY AND CONSERVATION 20624 LA English 20625 DT Article 20626 DE AUC; Bembidion velox; carabid larvae; habitat models; multi-species 20627 group; river banks; temporal and spatial model transfer 20628 ID SPATIAL AUTOCORRELATION; PREDICTIVE PERFORMANCE; RESTORATION; 20629 COLEOPTERA; CONSEQUENCES; SELECTION; QUALITY; FAUNA 20630 AB In order to assess the management success of river rehabilitation 20631 measurements it is necessary to have representative target species and 20632 objective statistical methods. In this study we, tested the validity of 20633 habitat suitability models for the riparian carabid beetle Bembidion 20634 velox in the evaluation of river bank management along the River Elbe, 20635 Germany. On the basis of seven independent data sets from different 20636 sites and years we have proven the robustness of logistic regression 20637 models with respect to their explanatory and predictive power and their 20638 applicability in the field. All models had robust explanatory power and 20639 described a strong association of B. velox with semi-terrestrial sandy 20640 open soil habitats. Transfers of model results for adult beetles to 20641 their larvae and vice versa were highly significant with "sand content" 20642 and "stem distance" as the main habitat factors for both life stages. 20643 To broaden the local explanatory power towards general predictions we 20644 performed model cross-validation in space and time. Spatial transfers 20645 produced models with excellent discrimination properties, measured by 20646 Area Under Curve (AUC) values of Receiver Operating Characteristics 20647 (ROC) plots, independent of sampling designs and trapping methodology. 20648 However, the applicability of habitat models for B. velox is defined by 20649 the validity period, as the availability of suitable habitats for this 20650 species is highly temporally variable and dependent on water level. 20651 Model transfers between species also demonstrated that the chosen 20652 target species is representative for carabids with similar distribution 20653 patterns, as the single species model had high predictive power for the 20654 occurrence of a multi-species carabid group. 20655 C1 Tech Univ Carolo Wilhelmina Braunschweig, Inst Geoecol, D-38092 Braunschweig, Germany. 20656 RP Kleinwaechter, M, Tech Univ Carolo Wilhelmina Braunschweig, Inst 20657 Geoecol, D-38092 Braunschweig, Germany. 20658 EM meike.kleinwaechter@tu-bs.de 20659 CR *IKSE, 1994, OK STUD SCH GEST GEW 20660 ADIS J, 2002, FRESHWATER BIOL, V47, P711 20661 ANDERSEN J, 1978, NORWEGIAN J ENTOMOLO, V25, P119 20662 ANDERSON C, 1997, ACAD MANAGEMENT EXEC, V11, P25 20663 ASSMUTH T, 2000, DTSCH GESELLSCHAFT L, P428 20664 BODEN AG, 1994, BODENKUNDLICH KARTIE 20665 BONN A, 1999, Z OKOLOGIE NATURSCHU, V8, P109 20666 BONN A, 2000, NATURSCH LANDSCHAFTS, V8, P242 20667 BONN A, 2001, ECOGRAPHY, V24, P483 20668 BOSCAINI A, 2000, HYDROBIOLOGIA, V422, P173 20669 BRANDT D, 1991, LANDSCHAFTSENTW UMWE, V6, P243 20670 BRAUNICKE M, 1999, ANGEW CARABIDOLOGI S, V1, P79 20671 BUIJSE AD, 2005, ARCH HYDROBIOL S, V155, P715 20672 CAPEN DE, 2000, WILDLIFE MODELLING H, P171 20673 DENNIS RLH, 1999, BIOL CONSERV, V87, P295 20674 FIELDING AH, 1995, CONSERV BIOL, V9, P1466 20675 FIELDING AH, 1997, ENVIRON CONSERV, V24, P38 20676 FLADUNG E, 2003, J APPL ICHTHYOL, V19, P303 20677 FREEMAN MC, 1997, N AM J FISH MANAGE, V17, P20 20678 GREENWOOD MT, 1991, REGUL RIVER, V6, P321 20679 GUNTHER J, 2005, BIODIVERS CONSERV, V14, P1583 20680 GURLICH S, 1999, ANGEW CARAB S, V1, P3 20681 HANLEY JA, 1982, RADIOLOGY, V143, P29 20682 HANLEY JA, 1983, RADIOLOGY, V148, P839 20683 HARRELL FEJ, 2001, REGRESSION MODELING 20684 HOSMER DW, 2000, APPL LOGISTIC REGRES 20685 HUK T, 1999, OECOLOGIA, V121, P348 20686 JANSSON R, 2005, J APPL ECOL, V42, P218 20687 KLEINWACHTER M, 2001, HOW PROTECT WHAT WE, P59 20688 KLEINWACHTER M, 2005, ARCH HYDROBIOL, V155, P319 20689 KLEINWACHTER M, 2007, THESIS TU BRAUNSCHWE, P1 20690 KLEYER M, 2000, Z OKOLOGIE NATURSCHU, V8, P177 20691 KUNZE M, 1998, Z OKOLOGIC NATURSHUT, V7, P29 20692 LEGENDRE P, 1993, ECOLOGY, V74, P1659 20693 LINDQUIST A, 1985, STOCHASTICS, V15, P1 20694 LOVEI GL, 1996, ANNU REV ENTOMOL, V43, P213 20695 LUFF ML, 2005, DIAS REPORT PLANT PR, V114, P183 20696 MORRISON ML, 1998, WILDLIFE HABITAT REL 20697 NAGELKERKE NJD, 1991, BIOMETRIKA, V78, P691 20698 PAARMANN W, 1966, Z WISS ZOOL, V174, P83 20699 PALMER MA, 2005, J APPL ECOL, V42, P208 20700 PEARCE J, 2000, ECOL MODEL, V133, P225 20701 PEARCE J, 2001, J ENVIRON MANAGE, V62, P171 20702 PLACHTER T, 1986, HOW PROTECT WHAT WE, P509 20703 RAINIO J, 2003, BIODIVERS CONSERV, V12, P487 20704 RICKFELDER T, 2005, THESIS TU BRAUNSCHWE, V49, P1 20705 ROBINSON CT, 2002, FRESHWATER BIOL, V47, P661 20706 RUDOLF VHW, 2005, OECOLOGIA, V142, P316 20707 SANDER C, 1996, UFERVEGETATION VONF, P25 20708 SCHNITTER P, 2004, ROTE LISTE SACHSEN A, P252 20709 SCHOLTEN M, 2002, Z FISCHKUNDE S, V1, P59 20710 SCHOLTEN M, 2005, ARCH HYDROBIOL SUPPL, V155, P479 20711 SCHRODER B, 2003, OKOLOGIE NATURSCHUTZ, V8, P195 20712 SCHRUMPF E, 2000, SCAND J GASTROENTERO, V35, P1 20713 SONDERATH D, 2004, HABITAT MODELLE METH, P101 20714 TOBIN PC, 2004, ECOGRAPHY, V27, P767 20715 TRAUTNER J, 1997, NATURSCHUTZ LANDSCHA, V29, P261 20716 WIRTZ C, 2002, Z FISCHKUNDE S, V1, P13 20717 NR 58 20718 TC 0 20719 PU SPRINGER 20720 PI DORDRECHT 20721 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 20722 SN 0960-3115 20723 J9 BIODIVERS CONSERV 20724 JI Biodivers. Conserv. 20725 PD OCT 20726 PY 2007 20727 VL 16 20728 IS 11 20729 BP 3067 20730 EP 3081 20731 PG 15 20732 SC Biodiversity Conservation; Ecology; Environmental Sciences 20733 GA 202NQ 20734 UT ISI:000248910700004 20735 ER 20736 20737 PT J 20738 AU Gluck, PA 20739 AF Gluck, Paul A. 20740 TI Patient safety in women's health care: a framework for progress 20741 SO BEST PRACTICE & RESEARCH IN CLINICAL OBSTETRICS & GYNAECOLOGY 20742 LA English 20743 DT Article 20744 DE patient safety; medical errors; defensive barriers; team function 20745 ID ADVERSE EVENTS; INFORMATION-TECHNOLOGY; PERFORMANCE; ERRORS; 20746 MANAGEMENT; MORTALITY; QUALITY; ARREST; TRIAL; TEAM 20747 AB Patient safety research is hampered by lack of a clear taxonomy and 20748 difficulty in detecting errors. Preventable adverse events occur in 20749 medicine because of human fallibility, complexity, system deficiencies 20750 and vulnerabilities in defensive barriers. To make medicine safer there 20751 needs to be a culture change, beginning with the leadership. Latent 20752 systems deficiencies must be identified and corrected before they cause 20753 harm. Defensive barriers can be improved to intercept errors before 20754 patients are harmed. Strategies include: (1) providing leadership at 20755 all levels; (2) respecting human limits in equipment and process 20756 design; (3) functioning collaboratively in a team model with mutual 20757 respect; (4) creating a learning environment where errors can be 20758 analyzed without fear of retribution; and (5) anticipating the 20759 unexpected with analysis of high-risk processes and well-designed 20760 contingency plans. The ideal of a 100% safe health-care system is 20761 unattainable, but there must be continual improvement. 20762 C1 Univ Miami, Miller Sch Med, Miami, FL 33176 USA. 20763 RP Gluck, PA, Univ Miami, Miller Sch Med, 8950 N Kendall Dr,Suite 507, 20764 Miami, FL 33176 USA. 20765 EM pagluck@alum.mit.edu 20766 CR *COMM QUAL IMPR PA, 2006, COMM OP, V329 20767 *HARV MED PRAC STU, 1990, PAT DOCT LAWY MED IN 20768 AIKEN LH, 2002, JAMA-J AM MED ASSOC, V288, P1987 20769 ARORA V, 2005, QUAL SAF HEALTH CARE, V14, P401 20770 BATES DW, 2001, J AM MED INFORM ASSN, V8, P299 20771 BATES DW, 2003, NEW ENGL J MED, V348, P2526 20772 BELLOMO R, 2003, MED J AUSTRALIA, V179, P283 20773 BERWICK DM, 2006, JAMA-J AM MED ASSOC, V295, P324 20774 BOHMER RMJ, 2005, HEALTH CARE MANAGE R, V30, P322 20775 BRADLEY P, 2006, MED EDUC, V40, P254 20776 BRENNAN TA, 1991, NEW ENGL J MED, V324, P370 20777 CHANG A, 2005, INT J QUAL HEALTH C, V17, P95 20778 CHO SH, 2003, NURS RES, V52, P71 20779 CLASSEN D, 2006, STANDARDIZING PATIEN 20780 CONWAY J, 2006, PARTNERING PATIENTS 20781 DAWSON D, 1997, NATURE, V388, P235 20782 DINGES DF, 1997, SLEEP, V20, P267 20783 EDMUNDSON A, 2004, HARVARD BUS REV, P77 20784 FRANKLIN C, 1994, CRIT CARE MED, V22, P244 20785 FRIEDMAN WA, 2004, NEUROSURGERY, V54, P925 20786 GAMBONE J, 2002, NOVAKS GYNECOLOGY, CH3 20787 GAWANDE A, 1992, SURGERY, V126, P66 20788 GLUCK PA, 2003, JOINT COMM J QUALITY, V29, P77 20789 HELMREICH RL, 1999, INT J AVIAT PSYCHOL, V9, P19 20790 HUNT DL, 1998, JAMA-J AM MED ASSOC, V280, P1339 20791 KIZER K, 2000, BRIEF PATIENT SAF, V1, P1 20792 KOHN L, 1999, ERR HUMAN BUILDING S 20793 LANDRIGAN CP, 2004, NEW ENGL J MED, V351, P1838 20794 LEAPE LL, 2000, JOINT COMM J QUAL IM, V26, P321 20795 LINDAU ST, 2006, J GEN INTERN MED, V21, P829 20796 MANN S, 2006, CONTEMP OBSTET GYNEC, V51, P34 20797 NEEDLEMAN J, 2002, NEW ENGL J MED, V346, P1715 20798 PRONOVOST PJ, 2006, JAMA-J AM MED ASSOC, V296, P696 20799 REASON J, 1997, MANAGING RISKS ORG A 20800 REASON J, 2000, BRIT MED J, V320, P768 20801 ROZICH JD, 2003, QUAL SAF HEALTH CARE, V12, P194 20802 SCAVONE BM, 2006, ANESTHESIOLOGY, V105, P260 20803 SCHEIN RMH, 1990, CHEST, V98, P1388 20804 SCHOEN C, 2005, HLTH AFF MILLWOOD W, V5, P509 20805 SEARLE J, 2001, MED J AUSTRALIA, V174, P588 20806 SINGH R, 2004, INFORMATICS PRIMARY, V12, P235 20807 TRIOLA M, 2006, J GEN INTERN MED, V21, P424 20808 NR 42 20809 TC 0 20810 PU BAILLIERE TINDALL 20811 PI LONDON 20812 PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND 20813 SN 1521-6934 20814 J9 BEST PRACT RES CLIN OBSTET GY 20815 JI Best Pract. Res. Clin. Obstet. Gynaecol. 20816 PD AUG 20817 PY 2007 20818 VL 21 20819 IS 4 20820 BP 525 20821 EP 536 20822 PG 12 20823 SC Obstetrics & Gynecology 20824 GA 205DW 20825 UT ISI:000249094800002 20826 ER 20827 20828 PT J 20829 AU Guise, JM 20830 AF Guise, Jeanne-Marie 20831 TI Anticipating and responding to obstetric emergencies 20832 SO BEST PRACTICE & RESEARCH IN CLINICAL OBSTETRICS & GYNAECOLOGY 20833 LA English 20834 DT Article 20835 DE patient safety; obstetric emergencies; obstetric delivery; pregnancy; 20836 simulation; human factors; medical errors 20837 ID AMNIOTIC-FLUID EMBOLISM; CRISIS RESOURCE-MANAGEMENT; VAGINAL BREECH 20838 DELIVERY; MATERNAL MORTALITY; SHOULDER DYSTOCIA; LAPAROSCOPIC 20839 SIMULATOR; CESAREAN DELIVERY; UTERINE RUPTURE; PERFORMANCE; CARE 20840 AB During the last 10 years, international attention has focused on the 20841 importance of medical errors and patient safety. When obstetric 20842 emergencies occur, effective and efficient care is essential for good 20843 outcome and safety. This chapter presents a framework for obstetric 20844 safety, reviews the impact of obstetric emergencies on global health, 20845 and discusses possible interventions to improve the anticipation of and 20846 responses to obstetric emergencies. 20847 C1 Oregon Hlth & Sci Univ, Dept Obstet & Gynecol, Portland, OR 97239 USA. 20848 Oregon Hlth & Sci Univ, Dept Med Informat & Clin Epidemiol, Portland, OR 97239 USA. 20849 Oregon Hlth & Sci Univ, Dept Publ Hlth & Prevent Med, Portland, OR 97239 USA. 20850 RP Guise, JM, Oregon Hlth & Sci Univ, Dept Obstet & Gynecol, 3181 SW Sam 20851 Jackson Pk Rd,Mail Code L466, Portland, OR 97239 USA. 20852 EM guisej@ohsu.edu 20853 CR 1999, CONFIDENTIAL ENQUIRY 20854 2005, MED MALPRACTICE VERD 20855 *AM AC FAM PHYS, 1993, ADV LIF SUPP OBST 20856 *AM COLL OBS, 2006, ACOG PRACT B, V76, P1039 20857 *AM COLL OBST GYN, 2002, INT J GYNECOL OBSTET, V77, P67 20858 *DEP HLTH, 2001, BUILD SAF NHS PAT IM 20859 *FAA, 2004, 12051E FAA 20860 *MAT CHILD HLTH RE, 2000, CESDI 7 ANN REP CTG, P53 20861 *MED LIAB SURV, 2004, ACOG NEWS REL, V16 20862 *SAF MOTH IN, 2006, WHAT IS SAF MOTH 20863 *WHO UNICEF UNFPA, 2001, MAT MORT 1995 EST DE 20864 *WHO, 1996, MOTH BAB PACK IMPL S 20865 *WORLD BANK, 2006, MILL DEV GOALS OCT 20866 ABOUZAHR C, 2003, BRIT MED BULL, V67, P1 20867 BALLARO A, 1999, J UROLOGY, V162, P1633 20868 BASKETT T, 2004, ESSENTIAL MANAGEMENT 20869 BETTEGA G, 2000, COMPUT AIDED SURG, V5, P156 20870 BLACK RS, 2003, BJOG-INT J OBSTET GY, V110, P837 20871 BRENNAN TA, 1991, NEW ENGL J MED, V324, P370 20872 CARRICO C, 1996, B AM COLL SURG, V81, P77 20873 CHANG J, 2003, MMWR SURVEILL SUMM, V52, P1 20874 CHONG CK, 1998, ANN BIOMED ENG, V26, P798 20875 CHOPRA V, 1994, BRIT J ANAESTH, V73, P293 20876 CLARK SL, 1995, AM J OBSTET GYNECO 1, V172, P1158 20877 COOPER JB, 2004, QUAL HLTH CARE S1, V13, P1 20878 COOPER JB, 2005, QUAL SAF HEALTH CARE, V14, P72 20879 CROFTS JF, 2005, BJOG-INT J OBSTET GY, V112, P997 20880 DEERING S, 2004, OBSTET GYNECOL, V103, P1224 20881 DEERING S, 2004, OBSTET GYNECOL, V104, P667 20882 DEERING S, 2006, OBSTET GYNECOL, V107, P86 20883 DEERING SH, 2004, OBSTET GYNECOL, V104, P191 20884 DEROSSIS AM, 1998, SURG ENDOSC-ULTRAS, V12, P1117 20885 DRAYCOTT T, 2006, BJOG-INT J OBSTET GY, V113, P177 20886 DULEY L, 2003, COCHRANE DB SYST REV 20887 DULEY L, 2006, BRIT MED J, V332, P463 20888 FREEDMAN L, 2003, BACKGROUND PAPER TAS 20889 FRIED GM, 1999, SURG ENDOSC-ULTRAS, V13, P1077 20890 GILBERT WM, 1999, OBSTET GYNECOL, V93, P973 20891 GORDON JA, 2006, SIMULATION HEALTHCAR, V1, P13 20892 GUISE JM, 2004, BRIT MED J, V329, P19 20893 HOFMEYR GJ, 2005, BJOG-INT J OBSTET GY, V112, P1221 20894 HOLZMAN RS, 1995, J CLIN ANESTH, V7, P675 20895 HOWARD SK, 1992, AVIAT SPACE ENVIR MD, V63, P763 20896 JOHANSON RB, 2002, BMC MED ED, V2, P5 20897 KOHN L, 1999, ERR HUMAN BUILDING S 20898 KRAMER MS, 2006, LANCET, V368, P1444 20899 MACEDONIA CR, 2003, OBSTET GYNECOL, V102, P388 20900 MILLER DA, 1997, OBSTET GYNECOL 1, V89, P671 20901 NIELSEN PE, 2007, OBSTET GYNECOL, V109, P48 20902 OFFICER CM, 2000, ORG MEMORY REPORT EX 20903 PAXTON A, 2005, INT J GYNECOL OBSTET, V88, P181 20904 PRENDIVILLE WJ, 2000, COCHRANE DB SYST REV 20905 RAJARAM P, 1995, INDIAN J MATERN CHIL, V6, P7 20906 RIVERS RM, 2003, AORN J, V77, P158 20907 RONSMANS C, 2003, TROP MED INT HEALTH, V8, P940 20908 SCHUSTER GM, 1999, IEEE T MULTIMEDIA, V1, P3 20909 SHOJANIA K, 2001, 43 AG HLTH RES QUAL 20910 SIBAI BM, 2005, OBSTET GYNECOL, V105, P402 20911 SMITS AK, 2004, FAM MED, V36, P490 20912 SUTHERLAND LM, 2006, ANN SURG, V243, P291 20913 SUTNICK AI, 1993, JAMA-J AM MED ASSOC, V270, P1041 20914 SZEKELY G, 1999, ST HEAL T, V62, P351 20915 THOMAS EJ, 2004, QUAL SAF HLTH CAR S1, V13, P57 20916 THOMAS EJ, 2006, J PERINATOL, V26, P163 20917 THOMPSON S, 2004, QUAL SAF HEALTH CARE, V13, P127 20918 TUFFNELL DJ, 2003, CURR OPIN OBSTET GYN, V15, P119 20919 VILLAR J, 2006, LANCET, V367, P1819 20920 WEN SW, 2004, AM J OBSTET GYNECOL, V191, P1263 20921 WHITE AA, 2005, OBSTET GYNECOL 1, V105, P1031 20922 ZIV A, 1998, ACAD MED, V73, P84 20923 NR 70 20924 TC 0 20925 PU BAILLIERE TINDALL 20926 PI LONDON 20927 PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND 20928 SN 1521-6934 20929 J9 BEST PRACT RES CLIN OBSTET GY 20930 JI Best Pract. Res. Clin. Obstet. Gynaecol. 20931 PD AUG 20932 PY 2007 20933 VL 21 20934 IS 4 20935 BP 625 20936 EP 638 20937 PG 14 20938 SC Obstetrics & Gynecology 20939 GA 205DW 20940 UT ISI:000249094800009 20941 ER 20942 20943 PT J 20944 AU Alexiou, A 20945 AF Alexiou, Angeliki 20946 TI WINNER: Designing a new radio interface for next-generation systems 20947 SO BELL LABS TECHNICAL JOURNAL 20948 LA English 20949 DT Article 20950 AB The key objective in the design of a new radio interface for 20951 next-generation wireless communications is to develop a scalable and 20952 adaptable radio access system that will support the challenging 20953 requirements for systems beyond third generation (B3G). The new radio 20954 interface must support a wide range of usage and radio environments and 20955 provide a significant improvement in performance and quality of service 20956 to meet future market demands. In addition, the new radio interface 20957 should also make optimalum use of spectral resources through techniques 20958 such as multiple antennas and advanced resource management. Bell Labs 20959 is currently collaborating with a strong consortium of major players 20960 including service providers, manufacturers, and academic organizations 20961 in the wireless field, within the framework of the European 20962 Commission-funded Wireless World Initiative-New Radio (WINNER) project. 20963 By studying the requirements, enabling technologies, and identifying 20964 the critical issues, WINNER can help build a consensus of a system 20965 concept and regulatory requirements, and encourage new opportunities 20966 for convergence. (c) 2007 Alcatel-Lucent. 20967 C1 Alcatel Lucent Wireless Res Lab Bell Labs, Swindon, Wilts, England. 20968 RP Alexiou, A, Alcatel Lucent Wireless Res Lab Bell Labs, Swindon, Wilts, 20969 England. 20970 CR *3 GEN PARTN PROJ, 2006, 8642D4SG RAN WG1 M 20971 *DARPA, NEXT GEN XG COMM PRO 20972 *INT TEK UN RAD SE, 2003, RECM1645 ITUR 20973 *IST, IST2003507581 WINNER 20974 *IST, 2005, IST2003507581 WINNER 20975 BERLEMANN L, 2005, P EUR WIR 2005 NIC C 20976 BOYER J, 2005, P IEEE INT C COMM MA, V5, P3266 20977 DOTTLING M, 2005, P IEEE 16 INT S PERS, V2, P873 20978 ESSELING N, 2005, EMERGING LOCATION AW, P71 20979 HASSIBI B, 2002, IEEE T INFORM THEORY, V48, P1804 20980 TAFAZOLLI R, 2005, TECHNOLOGIES WIRELES 20981 NR 11 20982 TC 0 20983 PU JOHN WILEY & SONS INC 20984 PI HOBOKEN 20985 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 20986 SN 1089-7089 20987 J9 BELL LABS TECH J 20988 JI Bell Labs Tech. J. 20989 PD SUM 20990 PY 2007 20991 VL 12 20992 IS 2 20993 BP 19 20994 EP 35 20995 PG 17 20996 SC Computer Science, Information Systems; Engineering, Electrical & 20997 Electronic; Telecommunications 20998 GA 202JL 20999 UT ISI:000248897700003 21000 ER 21001 21002 PT J 21003 AU Agrawal, S 21004 Kanthi, CN 21005 Naidu, KVM 21006 Ramamirtham, J 21007 Rastogi, R 21008 Satkin, S 21009 Srinivasan, A 21010 AF Agrawal, Shipra 21011 Kanthi, C. N. 21012 Naidu, K. V. M. 21013 Ramamirtham, Jeyashankher 21014 Rastogi, Rajeev 21015 Satkin, Scott 21016 Srinivasan, Anand 21017 TI Monitoring infrastructure for converged networks and services 21018 SO BELL LABS TECHNICAL JOURNAL 21019 LA English 21020 DT Article 21021 AB Network convergence is enabling service providers to deploy a wide 21022 range of services such as Voice over Internet Protocol (VoIP), Internet 21023 Protocol television (IPTV), and push-to-talk on the same underlying IP 21024 networks. Each service has unique performance requirements from the 21025 network, and IP networks have not been designed to satisfy these 21026 diverse requirements easily. These requirements drive the need for a 21027 robust, scalable, and easy-to-use network management platform that 21028 enables service providers to monitor and manage their networks to 21029 provide the necessary quality, availability, and security. In this 21030 paper, we describe monitoring mechanisms that give service providers 21031 critical information on the performance of their networks at a 21032 per-user, per-service granularity in real time. This allows the service 21033 providers to ensure that their networks adequately satisfy the 21034 requirements of the various services. We present various methods to 21035 acquire data, which can be analyzed to determine the performance of the 21036 network. This platform enables service providers to offer carrier grade 21037 services over their converged networks, giving their customers a 21038 high-quality experience. (c) 2007 Alcatel-Lucent. 21039 CR *INT TEL UN TEL ST, 2003, RECG107 ITUT 21040 AGRAWAL S, 2006, P 1 INT C COMM SYST, P1 21041 AGRAWAL S, 2007, INT C DAT ENG, P1320 21042 AGRAWAL S, 2007, P 26 IEEE INT C COMP, P1757 21043 BREITBART Y, 2004, IEEE ACM T NETWORK, V12, P401 21044 CAMARILLO G, 2005, MERGING INTERNET CEL 21045 COLE RG, 2001, COMPUT COMMUN REV, V31, P9 21046 JAIN A, 2004, P 3 WORKSH HOT TOP N 21047 JAIN N, 2005, P 20 ACM S OP SYST P, P1 21048 KARAGIANNIS T, 2005, P ACM SIGCOMM, P229 21049 KERALAPIRA R, 2006, P ACM SIGMOD INT C M, P289 21050 MILLS DL, 1992, 1305 IETF RFC 21051 PERKINS ME, 1999, IEEE COMMUN MAG, V37, P126 21052 PRABHAKAR G, 2005, BELL LABS TECH J, V10, P31 21053 ROSENBERG J, 2002, 3261 IETF RFC 21054 SCHULZRINNE H, 2003, 3550 IETF RFC 21055 NR 16 21056 TC 0 21057 PU JOHN WILEY & SONS INC 21058 PI HOBOKEN 21059 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 21060 SN 1089-7089 21061 J9 BELL LABS TECH J 21062 JI Bell Labs Tech. J. 21063 PD SUM 21064 PY 2007 21065 VL 12 21066 IS 2 21067 BP 63 21068 EP 77 21069 PG 15 21070 SC Computer Science, Information Systems; Engineering, Electrical & 21071 Electronic; Telecommunications 21072 GA 202JL 21073 UT ISI:000248897700005 21074 ER 21075 21076 PT J 21077 AU Aavik, A 21078 Paabo, P 21079 Kaal, T 21080 AF Aavik, Andrus 21081 Paabo, Priit 21082 Kaal, Tiit 21083 TI Assessment of pavement structural strength by the falling weight 21084 deflectometer 21085 SO BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING 21086 LA English 21087 DT Article 21088 DE flexible pavement; E-modulus; falling weight deflectometer (FWD); 21089 cobb-douglas equation 21090 AB The main objective of the research project was to derive the equation 21091 for calculating the pavement equivalent E-modulus on the basis of the 21092 Falling Weight Deflectometer (FWD) deflection measurement data to be 21093 used in the Estonian Pavement Management System (EPMS) for network and 21094 project level analysis so, that the determined values are comparable 21095 with the Estonian flexible pavement design procedure 2001-52. In 1999, 21096 32 and in 2001 additional 19 FWD test sites were chosen on actual 21097 pavement structures to perform FWD measurements annually, once or twice 21098 per month from early spring until late autumn. FWD measurement data 21099 were analysed mathematically and the results were compared with the 21100 Estonian flexible pavement design procedure. 21101 The research project results in the following: The quantitative 21102 methodology for evaluating the qualitative characteristics of the 21103 pavement is determined on the basis of the Cobb-Douglas equation, 21104 taking into account at a time practically an unlimited number of 21105 factors influencing the pavement structural condition. 21106 The relationship between the pavement equivalent elastic modulus 21107 calculated according to the Estonian flexible pavement design procedure 21108 2001-52 and based on the FWD measured deflection is determined. The 21109 equation for calculating of the pavement equivalent E-modulus on the 21110 basis of the FWD deflection data to be used in the EPMS is detived. 21111 The correction factors for the pavement equivalent E-modulus, taking 21112 into account the month of the FWD measurement performance, moist-Lire 21113 conditions and road embankment height at the FWD test site, are 21114 mathematically based on statistical data determined for Estonian 21115 conditions. 21116 C1 Tallinn Univ Technol, Dept Transport, EE-19086 Tallinn, Estonia. 21117 Baltifalt Ltd, EE-75303 Harju Cty, Estonia. 21118 Tech Ctr Estonian Rds Ltd, EE-11216 Tallinn, Estonia. 21119 RP Aavik, A, Tallinn Univ Technol, Dept Transport, Ehitajate Tee 5, 21120 EE-19086 Tallinn, Estonia. 21121 EM andnis.aavik@ttu.ee 21122 priit@baltifalt.ee 21123 tiit.kaal@tehnokeskus.ee 21124 CR 1985, GUIDELINES FLEXIBLE 21125 2000, HIGHWAY DESIGN NORMS 21126 2001, GUIDELINES FLEXIBLE 21127 AAVIK A, 2003, THESIS TALLNIN TU 21128 KOPPEL M, 2004, MATH MODELS CONDITIO 21129 ULLIDTZ P, 1998, MODELLING FLEXIBLE P 21130 NR 6 21131 TC 0 21132 PU VILNIUS GEDIMINAS TECH UNIV 21133 PI VILNIUS 21134 PA SAULETEKIO AL 11, VILNIUS, LT-10223, LITHUANIA 21135 SN 1822-427X 21136 J9 BALT J ROAD BRIDGE ENG 21137 JI Balt. J. Road. Bridge. Eng. 21138 PY 2006 21139 VL 1 21140 IS 4 21141 BP 193 21142 EP 199 21143 PG 7 21144 GA 205ME 21145 UT ISI:000249117200005 21146 ER 21147 21148 PT J 21149 AU Wechsler, B 21150 Weber, R 21151 AF Wechsler, B. 21152 Weber, R. 21153 TI Loose farrowing systems: challenges and solutions 21154 SO ANIMAL WELFARE 21155 LA English 21156 DT Review 21157 DE animal welfare; behaviour; farrowing saw; legislation; pen design; 21158 piglet mortality 21159 ID RANGING DOMESTIC PIGS; ANIMAL HOUSING SYSTEMS; PRE-PARTURIENT PIGS; 21160 MATERNAL-BEHAVIOR; PIGLET MORTALITY; SUS-SCROFA; PRIMIPAROUS SOWS; 21161 HOUSED SOWS; ETHOLOGICAL OBSERVATIONS; PREPARTUM BEHAVIOR 21162 AB The use of farrowing crates is increasingly questioned from an animal 21163 welfare point of view. Even so, since a number of attempts to develop 21164 loose farrowing systems have been unsuccessful, leading to high levels 21165 of piglet mortality due in the main to crushing, many farmers remain 21166 sceptical as to whether or not alternative systems can be viable. On 21167 the other hand, several European countries have introduced legislation 21168 requiring loose farrowing systems, thus promoting research into this 21169 type of housing and allowing for performance studies based on large 21170 samples of commercial forms. As a consequence of these recent 21171 developments, we think it timely to reconsider the evidence available 21172 on loose farrowing systems. In our review, we first address the normal 21173 peri-parturient behaviour of domestic pigs, as well as studies 21174 comparing behaviour and stress physiology in sows kept in both crates 21175 and loose systems during farrowing. We then review approaches taken to 21176 develop alternative farrowing systems in different countries, and focus 21177 lastly on pen, piglet and sow characteristics that contribute to piglet 21178 survival in loose farrowing systems. Taking scientific evidence as well 21179 as practical experience into account, we conclude that piglet mortality 21180 in loose farrowing systems need not exceed that of crate systems. To 21181 obtain good performance results, sows due to farrow should be kept 21182 individually in sufficiently large pens, structured for preference into 21183 a nest area and an activity area. Furthermore, both management and 21184 breeding aspects, resulting in high piglet viability and good maternal 21185 behaviour, are essential to achieve high production in loose farrowing 21186 systems. 21187 C1 Swiss Fed Vet Off, Ctr Proper Housing Ruminants & Pigs, Agroscope Reckenholz Tanikon Res Stn ART, CH-8356 Ettenhausen, Switzerland. 21188 Univ Exeter, Sch Psychol, Washington Singer Labs, Exeter EX4 4QG, Devon, England. 21189 RP Wechsler, B, Swiss Fed Vet Off, Ctr Proper Housing Ruminants & Pigs, 21190 Agroscope Reckenholz Tanikon Res Stn ART, CH-8356 Ettenhausen, 21191 Switzerland. 21192 EM Beat.Wechsler@art.admin.ch 21193 CR *SCI VET COMM, 1997, WELF INT KEPT PIGS R 21194 ABBOTT TA, 1996, APPL ANIM BEHAV SCI, V49, P96 21195 ALONSOSPILSBURY M, 2005, ANIM REPROD SCI, V90, P1 21196 ANDERSEN IL, 2005, APPL ANIM BEHAV SCI, V93, P229 21197 AREY DS, 1991, APPL ANIM BEHAV SCI, V31, P61 21198 AREY DS, 1992, ANIM PROD, V54, P129 21199 AREY DS, 1992, APPL ANIM BEHAV SCI, V33, P217 21200 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WHEATHAMPSTEAD 21347 PA OLD SCHOOL, BREWHOUSE HILL, WHEATHAMPSTEAD AL4 8AN, HERTS, ENGLAND 21348 SN 0962-7286 21349 J9 ANIM WELFARE 21350 JI Anim. Welf. 21351 PD AUG 21352 PY 2007 21353 VL 16 21354 IS 3 21355 BP 295 21356 EP 307 21357 PG 13 21358 SC Veterinary Sciences; Zoology 21359 GA 196YH 21360 UT ISI:000248518900001 21361 ER 21362 21363 PT J 21364 AU Iossa, G 21365 Soulsbury, CD 21366 Harris, S 21367 AF iossa, G. 21368 Soulsbury, C. D. 21369 Harris, S. 21370 TI Mammal trapping: a review of animal welfare standards of killing and 21371 restraining traps 21372 SO ANIMAL WELFARE 21373 LA English 21374 DT Review 21375 DE animal welfare; international legislation; ISO standards; mammals; 21376 trapping standards; trap types 21377 ID SIMULATED NATURAL ENVIRONMENTS; FISHER MARTES-PENNANTI; AMERICAN BLACK 21378 BEARS; MINK MUSTELA-VISON; RED FOXES; LIVE-CAPTURE; WILD ANIMALS; 21379 PATHOLOGICAL RESPONSES; BRUSHTAIL POSSUMS; FOOTHOLD TRAPS 21380 AB Millions of wild mammals are trapped annually for fur, pest control and 21381 wildlife management. Ensuring the welfare of trapped individuals can 21382 only be achieved by trapping methods that meet accepted standards of 21383 animal welfare. At the international level, the assessment of 21384 mechanical properties of killing and restraining traps is set out in 21385 two documents published by the International Organization for 21386 Standardization (ISO). Few traps currently in use have been tested 21387 according to the ISO standards and, in addition, new traps have been 21388 designed and old traps modified since the publication of the standards. 21389 In this paper we review trapping methods used in Europe and North 21390 America to see whether they meet the ISO standards and examine ways to 21391 improve the welfare performance of traps. In addition, international 21392 legislation is assessed to determine whether this ensures a sufficient 21393 level of welfare for trapped animals. Finally, trapping practices used 21394 in academic research are reviewed. We conclude that many of the 21395 practices commonly used to trap mammals cannot be considered humane. 21396 Current legislation fails to ensure an acceptable level of welfare for 21397 a large number of captured animals. New welfare standards for trapping 21398 wild mammals need to be established so that in future a minimum level 21399 of welfare is guaranteed for all trapped individuals. 21400 C1 Univ Bristol, Sch Biol Sci, Bristol BS8 1UG, Avon, England. 21401 RP Iossa, G, Univ Bristol, Sch Biol Sci, Woodland Rd, Bristol BS8 1UG, 21402 Avon, England. 21403 EM g.iossa@bristol.ac.uk 21404 CR 1998, OFFICAL J EUROPEAN L, V42, P43 21405 1998, OFFICIAL J EUROPEA L, V219, P26 21406 *BRIT ASS SHOOT C, 2002, COD PRACT 21407 *BRIT ASS SHOOT CO, 2006, DEER STALK COD PRACT 21408 *CAN COUNC AN CAR, 1993, GUID CAR EXPT AN 21409 *COUNC EUR COMM, 1991, OFFICIAL J EUROPEAN, V308, P1 21410 *DEP ENV FOOD RUR, 2005, DEFR COD PRACT US SN 21411 *FED FIELD SPORT A, 1998, 811098000576MARD2 FA 21412 *FUND AN, 2001, SUGG GUID WORK NUSI 21413 *I LAB AN RES, 1996, GUID CAR US LAB AN 21414 *INT ASS FISH WILD, 1997, IMPR AN WELF U S TRA 21415 *INT ASS FISH WILD, 2000, SUMM PROGR TEST REST 21416 *INT ASS FISH WILD, 2003, SUMM 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1994, J ZOOL, V232, P323 21481 LUCHERINI M, 1996, BEHAV PROCESS, V36, P103 21482 LUDDERS JW, 1999, WILDLIFE SOC B, V27, P669 21483 MACNALLY L, 1992, DEER, V8, P587 21484 MARKS CA, 2004, ANIM WELFARE, V13, P393 21485 MASON G, 2003, ANIM WELFARE, V12, P1 21486 MCKINSTRY MC, 1998, CAN FIELD NAT, V112, P469 21487 MCLAREN GW, 2005, VET ANAESTH ANALG, V32, P48 21488 MEEK PD, 1995, WILDLIFE RES, V22, P733 21489 MELLOR DJ, 2004, ANIM WELFARE S, V13, S127 21490 MEYER S, 1991, BEING KIND ANIMAL PE 21491 MILLER CJ, 1993, J ROYAL SOC NZ, V2, P5 21492 MOBERG GP, 1999, LAB ANIMAL, V28, P22 21493 MOEHRENSCHLAGER A, 2003, SWIFT FOX ECOLOGY CO, P107 21494 MOWAT G, 1994, WILDLIFE SOC B, V22, P644 21495 NAYLOR BJ, 1994, WILDLIFE SOC B, V22, P489 21496 NELLIS CH, 1968, J WILDLIFE MANAGE, V32, P402 21497 NOVAK M, 1981, CANADIAN TRAPPE 0418 21498 NOVAK M, 1981, WORLDW FURB C P FROS, P1671 21499 NOVAK M, 1987, WILD FURBEARER MANAG, P941 21500 NUTMAN AW, 1998, NEW ZEAL VET J, V46, P177 21501 OLSEN GH, 1988, 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WILDLIFE RES, V1, P52 21544 TULLAR BF, 1984, NY FISH GAME J, V31, P97 21545 TURK DC, 1992, HDB PAIN ASSESSMENT 21546 VANBALLENBERGHE V, 1984, J WILDLIFE MANAGE, V48, P1425 21547 VIDAL EL, 2003, CANID NEWS, V6, P1 21548 WARBURTON B, 1995, NEW ZEAL J ZOOL, V22, P39 21549 WARBURTON B, 1996, NEW ZEAL J ZOOL, V23, P307 21550 WARBURTON B, 1999, MAMMAL TRAPPING, P53 21551 WARBURTON B, 2000, J WILDLIFE DIS, V36, P92 21552 WARBURTON B, 2002, DOC SCI INTERNAL SER, V83 21553 WARBURTON B, 2004, ATLA-ALTERN LAB A 1A, V32, P229 21554 WAY JG, 2002, WILDLIFE SOC B, V30, P695 21555 WEIR RD, 1997, 130 FISH WILDL COMP 21556 WHITE PJ, 1991, J WILDLIFE MANAGE, V55, P75 21557 WOODROFFE R, 2005, ANIM WELFARE, V14, P11 21558 ZELIN S, 1983, J WILDLIFE MANAGE, V47, P863 21559 NR 155 21560 TC 0 21561 PU UNIV FEDERATION ANIMAL WELFARE 21562 PI WHEATHAMPSTEAD 21563 PA OLD SCHOOL, BREWHOUSE HILL, WHEATHAMPSTEAD AL4 8AN, HERTS, ENGLAND 21564 SN 0962-7286 21565 J9 ANIM WELFARE 21566 JI Anim. Welf. 21567 PD AUG 21568 PY 2007 21569 VL 16 21570 IS 3 21571 BP 335 21572 EP 352 21573 PG 18 21574 SC Veterinary Sciences; Zoology 21575 GA 196YH 21576 UT ISI:000248518900005 21577 ER 21578 21579 PT J 21580 AU Terre, M 21581 Calvo, MA 21582 Adelantado, C 21583 Kocher, A 21584 Bach, A 21585 AF Terre, M. 21586 Calvo, M. A. 21587 Adelantado, C. 21588 Kocher, A. 21589 Bach, A. 21590 TI Effects of mannan oligosaccharides on performance and microorganism 21591 fecal counts of calves following an enhanced-growth feeding program 21592 SO ANIMAL FEED SCIENCE AND TECHNOLOGY 21593 LA English 21594 DT Article 21595 DE mannan oligosaccharides; enhanced-growth; dairy calves 21596 ID ACUTE-PHASE RESPONSE; CRYPTOSPORIDIUM-PARVUM; ESCHERICHIA-COLI; MILK 21597 REPLACERS; DAIRY CALVES; HEALTH; ANTIBIOTICS; MANAGEMENT; DIETS; PIGS 21598 AB Sixty female Holstein calves were used to study the effect of mannan 21599 oligosaccharides (MOS) on performance, health, bacteria fecal counts 21600 and Cryptosporidium presence in feces of calves following an 21601 enhanced-growth feeding program. Calves were divided in two groups: 21602 supplementation of 4 g/d of MOS on milk replacer (MR-M) or 21603 non-supplemented milk replacer (MR-C). After 1 wk of adaptation to milk 21604 replacer (MR) at 180 g/kg dilution, calves were fed: 41/d of MR from 1 21605 to 7 d, 61/d from 8 to 14 d, 71/d from 15 to 21 d, 61/d from 22 to 28 21606 d, and 31/d once daily in the afternoon meal from 29 to 34 d. Calves 21607 were weaned at 35 d of study, and were offered water and starter ad 21608 libitum until 41 d of study. Starter and MR intake were recorded daily. 21609 Calves were weighed weekly, and blood samples were obtained at 1, 3, 5 21610 and 6 wk of study to determine haptoglobin serum concentrations. 21611 Moreover, total fecal counts of Clostridium perfringens and Escherichia 21612 coli, and for presence of Salmonella spp. and Cryptosporidium spp. were 21613 determined from fecal samples obtained at 1, 2, and 3 wk of study. 21614 There were no differences in body weight, but starter intake tended to 21615 be greater (P=0.09) during the pre-weaning period (0.34 versus 0.28 +/- 21616 0.023 kg/d) and greater (P < 0.01) the week after weaning (1.94 versus 21617 1.71 +/- 0.044 kg/d) in MR-M compared with MR-C calves. However, there 21618 were no differences in average daily gain between treatments during the 21619 pre-weaning (0.91 versus 0.90 +/- 0.017 kg/d), and the post-weaning 21620 period (1.20 versus 1.22 +/- 0.074 kg/d) between MR-C and MR-M, 21621 respectively. Consequently, the gain to feed ratio was lower (P < 0.05) 21622 during the pre-weaning period (0.70 versus 0.74 +/- 0.010), and tended 21623 to be lower during the post-weaning period (0.59 versus 0.66 +/- 0.033) 21624 in MR-M than in MR-C treatment. Serum haptoglobin concentration was 21625 similar in both treatments. There were no differences in E. coli fecal 21626 counts between treatments. Calves in the MR-M treatment had lower 21627 Cryptosporidium spp. presence in feces during the first wk of study (P 21628 < 0.05), but there were no differences thereafter. The supplementation 21629 of MOS in the MR stimulated starter intake after weaning, but this 21630 supplementation did not show a determining effect on reducing bacteria 21631 counts or Cryptosporidium spp. presence in calf feces, nor in rate of 21632 growth. (C) 2006 Elsevier B.V. All rights reserved. 21633 C1 Univ Autonoma Barcelona, Grup Recerca Nutr Maneig Benestar Anim, UnitatRemugants, IRTA, E-08193 Barcelona, Spain. 21634 ICREA, Barcelona 08010, Spain. 21635 Univ Autonoma Barcelona, Dept Sanitat Anat Anim, E-08193 Barcelona, Spain. 21636 Alltech Biotechnol, Fitzgerald, GA 31750 USA. 21637 RP Bach, A, Univ Autonoma Barcelona, Grup Recerca Nutr Maneig Benestar 21638 Anim, UnitatRemugants, IRTA, E-08193 Barcelona, Spain. 21639 EM alex.bach@irta.es 21640 CR *ASS OFF AN CHEM, 1990, OFF METH AN 21641 AMABILECUEVAS CF, 1995, AM SCI, V83, P320 21642 BROWN EG, 2005, J DAIRY SCI, V88, P585 21643 BURKEY TE, 2004, J ANIM SCI, V82, P397 21644 CHEN XM, 2000, GASTROENTEROLOGY, V118, P368 21645 DIAZ MC, 2001, J DAIRY SCI, V84, P830 21646 DONOVAN DC, 2002, J DAIRY SCI, V85, P947 21647 FAIRCHILD AS, 2001, POULTRY SCI, V80, P562 21648 FRIMAN V, 1996, INFECT IMMUN, V64, P2794 21649 HEINRICH PC, 1990, BIOCHEM J, V265, P621 21650 HEINRICHS AJ, 2003, J DAIRY SCI, V86, P4064 21651 HENRIKSEN SA, 1981, ACTA VET SCAND, V22, P594 21652 IJI PA, 2001, J SCI FOOD AGR, V81, P1186 21653 JAGER M, 2005, VET PARASITOL, V131, P173 21654 JASPER J, 2002, J DAIRY SCI, V85, P3054 21655 LARSON LL, 1977, J DAIRY SCI, V60, P989 21656 LEMIEUX FM, 2003, J ANIM SCI, V81, P2482 21657 LLOVO J, 1993, J INFECT DIS, V167, P1477 21658 MUCHMORE AV, 1990, J LEUKOCYTE BIOL, V48, P457 21659 NEWMAN K, 2006, FEED MIX, V14, P2 21660 QUIGLEY JD, 2002, J DAIRY SCI, V85, P413 21661 SHAMAY A, 2005, J DAIRY SCI, V88, P1460 21662 SPRING P, 2000, POULTRY SCI, V79, P205 21663 TEUNIS PFM, 2002, RISK ANAL, V22, P475 21664 TROXEL TR, 1997, J ANIM SCI, V75, P19 21665 VANSOEST PJ, 1991, J DAIRY SCI, V74, P3583 21666 NR 26 21667 TC 0 21668 PU ELSEVIER SCIENCE BV 21669 PI AMSTERDAM 21670 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 21671 SN 0377-8401 21672 J9 ANIM FEED SCI TECH 21673 JI Anim. Feed Sci. Technol. 21674 PD SEP 1 21675 PY 2007 21676 VL 137 21677 IS 1-2 21678 BP 115 21679 EP 125 21680 PG 11 21681 SC Agriculture, Dairy & Animal Science 21682 GA 201ZM 21683 UT ISI:000248871200009 21684 ER 21685 21686 PT J 21687 AU Glockner, JF 21688 AF Glockner, James F. 21689 TI Incidental findings on renal MR angiography 21690 SO AMERICAN JOURNAL OF ROENTGENOLOGY 21691 LA English 21692 DT Article 21693 DE incidental findings; kidney; MR angiography 21694 ID DIGITAL-SUBTRACTION-ANGIOGRAPHY; MAGNETIC-RESONANCE ANGIOGRAPHY; CT 21695 COLONOGRAPHY; EXTRACOLONIC FINDINGS; ARTERY STENOSIS; ABDOMINAL CT; 21696 POPULATION; PREVALENCE; CARCINOMA; FREQUENCY 21697 AB OBJECTIVE. The purpose of this article is to assess the incidence of 21698 incidental vascular and nonvascular findings in patients undergoing 21699 renal MR angiography and to determine the extent to which these 21700 findings alter patient management. 21701 MATERIALS AND METHODS. Reports from 380 consecutive renal MR 21702 angiography examinations performed at a single institution over a 21703 12-month interval were examined. The presence of incidental vascular 21704 (i.e., nonrenal artery) and nonvascular findings was noted. Clinical 21705 records of patients with significant incidental findings were examined 21706 to determine whether additional imaging, biopsy, or surgery was 21707 performed. 21708 RESULTS. Overall, 151 (40%) of 380 patients had one or more additional 21709 vascular findings not related to the renal arteries, and 221 (58%) of 21710 380 patients had one or more additional nonvascular findings. Vascular 21711 findings included mesenteric artery stenosis or occlusion in 33% of 21712 patients, moderate to severe aortic atherosclerosis in 17%, aortic 21713 aneurysms in 7%, and aortic dissection in 2%. Incidental malignancies 21714 were detected in 10 patients (3%), and indeterminate lesions requiring 21715 follow-up imaging, biopsy, or surgery were noted in 18 patients (5%). 21716 Overall, management in 5% of patients was significantly altered (i.e., 21717 required biopsy, surgery, or other intervention) by incidental findings 21718 detected on renal MR angiography. Benign lesions not requiring 21719 additional imaging or follow-up occurred in 54% of patients and 21720 consisted predominantly of renal cysts. 21721 CONCLUSION. Incidental findings on renal MR angiography are common. 21722 Most incidental lesions can be adequately detected and characterized 21723 with the addition of a few pulse sequences to the standard renal MR 21724 angiography protocol at a minimal cost in imaging time. The high 21725 incidence of incidental findings emphasizes the importance of 21726 performance and interpretation of these examinations by physicians with 21727 training in abdominal cross-sectional imaging. 21728 C1 Mayo Clin, Dept Radiol, Rochester, MN 55905 USA. 21729 RP Glockner, JF, Mayo Clin, Dept Radiol, 200 1st SW, Rochester, MN 55905 21730 USA. 21731 EM glockner.james@mayo.edu 21732 CR AHMAD NA, 2003, BMC UROL, V3, P2 21733 FAIN SB, 2001, RADIOLOGY, V218, P481 21734 GLUECKER TM, 2003, GASTROENTEROLOGY, V124, P911 21735 GREEN DE, 2005, SEMIN ULTRASOUND CT, V26, P2 21736 HARA AK, 2005, SEMIN ULTRASOUND CT, V26, P24 21737 HELLSTROM M, 2004, AM J ROENTGENOL, V182, P631 21738 ISHIMORI T, 2005, J NUCL MED, V46, P752 21739 KATZ DS, 2000, UROLOGY, V56, P53 21740 LESLIE JA, 2003, UROL ONCOL-SEMIN O I, V21, P39 21741 LEUNG DA, 2002, RADIOL CLIN N AM, V40, P847 21742 MESSERSMITH WA, 2001, AM J EMERG MED, V19, P479 21743 NG CS, 2004, CLIN RADIOL, V59, P421 21744 OSMAN MM, 2005, J NUCL MED, V46, P1352 21745 PRINCE MR, 1993, JMRI-J MAGN RESON IM, V3, P877 21746 SCHOENBERG SO, 2005, RADIOLOGY, V235, P687 21747 TAN KT, 2002, CLIN RADIOL, V57, P617 21748 THORNTON J, 1999, EUR RADIOL, V9, P930 21749 XIONG T, 2005, BRIT J RADIOL, V78, P22 21750 YEE J, 2005, RADIOLOGY, V236, P519 21751 NR 19 21752 TC 0 21753 PU AMER ROENTGEN RAY SOC 21754 PI RESTON 21755 PA 1891 PRESTON WHITE DR, SUBSCRIPTION FULFILLMENT, RESTON, VA 22091 USA 21756 SN 0361-803X 21757 J9 AMER J ROENTGENOL 21758 JI Am. J. Roentgenol. 21759 PD SEP 21760 PY 2007 21761 VL 189 21762 IS 3 21763 BP 693 21764 EP 700 21765 PG 8 21766 SC Radiology, Nuclear Medicine & Medical Imaging 21767 GA 204IU 21768 UT ISI:000249038000032 21769 ER 21770 21771 PT J 21772 AU Albrecht, T 21773 Foert, E 21774 Holtkamp, R 21775 Kirchin, MA 21776 Ribbe, C 21777 Wacker, FK 21778 Kruschewski, M 21779 Meyer, BC 21780 AF Albrecht, Thomas 21781 Foert, Ellen 21782 Holtkamp, Robin 21783 Kirchin, Miles A. 21784 Ribbe, Constanze 21785 Wacker, Frank K. 21786 Kruschewski, Martin 21787 Meyer, Bernhard C. 21788 TI 16-MDCT angiography of aortoiliac and lower extremity arteries: 21789 Comparison with digital subtraction angiography 21790 SO AMERICAN JOURNAL OF ROENTGENOLOGY 21791 LA English 21792 DT Article 21793 DE aortoiliac arteries; digital subtraction angiography; lower extremity; 21794 MDCT angiography; peripheral arterial disease 21795 ID ENHANCED MR-ANGIOGRAPHY; MULTIDETECTOR CT ANGIOGRAPHY; OCCLUSIVE 21796 DISEASE; DIAGNOSTIC PERFORMANCE; PERIPHERAL ARTERIES; CONTRAST-MEDIUM; 21797 VESSELS; SYSTEM; MDCT; METAANALYSIS 21798 AB OBJECTIVE. The objective of our study was to prospectively compare CT 21799 angiography (CTA) performed on a 16-MDCT scanner and digital 21800 subtraction angiography (DSA) in patients with peripheral arterial 21801 disease. 21802 SUBJECTS AND METHODS. CTA and DSA were compared in 50 patients. CTA was 21803 independently evaluated by two blinded observers. DSA was evaluated by 21804 two additional blinded observers in consensus. Consensus DSA served as 21805 the reference standard for comparisons with CTA in terms of diagnostic 21806 quality, grading of stenoocclusive lesions, visualization of 21807 collaterals, impact on patient management, and time required for 21808 analysis. 21809 RESULTS. No significant differences in diagnostic quality were observed 21810 between CTA and DSA above the ankle; both CTA observers noted 21811 significantly better visualization of pedal arteries (70 and 72 21812 segments, respectively) than on DSA (57 segments). Of 958 21813 stenoocclusive lesions on DSA, CTA observers 1 and 2 detected 933 and 21814 929 lesions, respectively. Sensitivity and specificity for the 21815 detection of hemodynamically relevant (> 50%) lesions was 93.3% and 21816 96.5% for observer 1 and 90.1% and 95.6% for observer 2. Collaterals 21817 were seen at 150 arterial levels on DSA compared with 97 and 92 levels 21818 on CTA (p < 0.05, both observers). Patient management decisions based 21819 on CTA were equivalent to those based on DSA in 49 of the 50 patients. 21820 CONCLUSION. CTA is an effective noninvasive alternative to DSA for the 21821 evaluation of peripheral arterial disease. 21822 C1 Free Univ Berlin, Charite Univ Med, Dept Radiol & Nucl Med, D-12200 Berlin, Germany. 21823 Humboldt Univ, D-12200 Berlin, Germany. 21824 Bracco Imaging SpA, Milan, Italy. 21825 Free Univ Berlin, Charite Univ Med, Dept Surg, D-12200 Berlin, Germany. 21826 Humboldt Univ, Berlin, Germany. 21827 RP Albrecht, T, Free Univ Berlin, Charite Univ Med, Dept Radiol & Nucl 21828 Med, Campus Benjamin Franklin,Hindenburgdamm 30, D-12200 Berlin, 21829 Germany. 21830 EM thomas.albrecht@charite.de 21831 CR ANZALONE N, 2005, RADIOLOGY, V236, P204 21832 BEZOOIJEN R, 2004, RADIOLOGY, V231, P263 21833 BRINK JA, 1997, ABDOM IMAGING, V22, P365 21834 CATALANO C, 2004, RADIOLOGY, V231, P555 21835 FLEISCHMANN D, 2003, EUR RADIOL S3, V13, N39 21836 FLEISCHMANN D, 2003, EUR RADIOL S5, V13, M94 21837 FLEISCHMANN D, 2005, RADIOLOGY, V236, P1076 21838 FLEISCHMANN D, 2006, J VASC INTERV RADIOL, V17, P3 21839 HIATT MD, 2005, RADIOL CLIN N AM, V43, P1119 21840 JANKA R, 2005, RADIOLOGY, V235, P319 21841 LAPEYRE M, 2005, AM J ROENTGENOL, V185, P1641 21842 LAWRENCE JA, 1995, RADIOLOGY, V194, P903 21843 MARTIN ML, 2003, AM J ROENTGENOL, V180, P1085 21844 MEYER BC, 2005, ROFO-FORTSCHR RONTG, V177, P1562 21845 MOHRS OK, 2004, ROFO-FORTSCHR RONTG, V176, P985 21846 NELEMANS PJ, 2000, RADIOLOGY, V217, P105 21847 OFER A, 2003, AM J ROENTGENOL, V180, P719 21848 OTA H, 2004, AM J ROENTGENOL, V182, P201 21849 PORTUGALLER HR, 2004, EUR RADIOL, V14, P1681 21850 RAATSCHEN HJ, 2003, ROFO-FORTSCHR RONTG, V175, P844 21851 RAPTOPOULOS V, 1996, AM J ROENTGENOL, V166, P1347 21852 REIMER P, 1998, EUR RADIOL, V8, P858 21853 RIEKER O, 1996, AM J ROENTGENOL, V166, P269 21854 RIEKER O, 1997, AM J ROENTGENOL, V169, P1133 21855 RUBIN GD, 2001, RADIOLOGY, V221, P146 21856 TINS B, 2001, BRIT J RADIOL, V74, P219 21857 VISSER K, 2000, RADIOLOGY, V216, P67 21858 WILLMANN JK, 2005, RADIOLOGY, V236, P1083 21859 YOUNG N, 2002, CARDIOVASC INTER RAD, V25, P123 21860 NR 29 21861 TC 0 21862 PU AMER ROENTGEN RAY SOC 21863 PI RESTON 21864 PA 1891 PRESTON WHITE DR, SUBSCRIPTION FULFILLMENT, RESTON, VA 22091 USA 21865 SN 0361-803X 21866 J9 AMER J ROENTGENOL 21867 JI Am. J. Roentgenol. 21868 PD SEP 21869 PY 2007 21870 VL 189 21871 IS 3 21872 BP 702 21873 EP 711 21874 PG 10 21875 SC Radiology, Nuclear Medicine & Medical Imaging 21876 GA 204IU 21877 UT ISI:000249038000033 21878 ER 21879 21880 PT J 21881 AU Banerji, A 21882 Long, AA 21883 Camargo, CA 21884 AF Banerji, Aleena 21885 Long, Aidan A. 21886 Camargo, Carlos A., Jr. 21887 TI Diphenhydramine versus nonsedating antihistamines for acute allergic 21888 reactions: A literature review 21889 SO ALLERGY AND ASTHMA PROCEEDINGS 21890 LA English 21891 DT Review 21892 DE acute allergic reaction; anaphylaxis; antihistamines; cognitive 21893 function; cost; diphenhydramine; impairment; psychomotor performance; 21894 sedation; urticaria 21895 ID CHRONIC IDIOPATHIC URTICARIA; ENVIRONMENTAL EXPOSURE UNIT; FEXOFENADINE 21896 HYDROCHLORIDE 120; EMERGENCY-DEPARTMENT VISITS; HISTAMINE-INDUCED 21897 WHEAL; LORATADINE 10 MG; DOUBLE-BLIND; PSYCHOMOTOR PERFORMANCE; 21898 2ND-GENERATION ANTIHISTAMINES; ORAL ANTIHISTAMINES 21899 AB First-generation antihistamines can have adverse effects on the central 21900 nervous system and thereby complicate discharge planning from the 21901 emergency department (ED). Newer antihistamines are potentially safer, 21902 causing less sedation with similar efficacy. The aim of this study was 21903 to review the literature to better define which antihistamines are good 21904 options for the treatment of acute allergic reactions. A Medline search 21905 was conducted to identify English language articles published between 21906 January 1975 and March 2006 on antihistamines, sedation, and acute 21907 allergic reactions. Bibliographies from included studies were further 21908 investigated. We focused on sedative potential, effect on cognitive 21909 function, efficacy, onset of clinical activity, and cost of 21910 antihistamines. Diphenhydramine impairs psychomotor performance and 21911 cognitive function. Loratadine and desloratadine are nonsedating but 21912 less efficacious than cetirizine orfexofenadine. The incidence of 21913 sedation with cetirizine is less than that of first-generation 21914 antihistamines but is greater than placebo. Cetirizine has thefastest 21915 onset of action among the newer antihistamines. Fexofenadine does not 21916 impair psychomotor or cognitive skills and shows no dose-related 21917 increase in sedation but has a slower onset of action than 21918 diphenhydramine and cetirizine. Newer antihistamines cost similar 21919 to$0.52-2.39 more per dose than diphenhydramine ($0.37). Newer 21920 antihistamines provide similar efficacy as first-generation 21921 antihistamines but with less sedation. We believe this benefit 21922 outweighs the small increase in cost and that newer antihistamines 21923 should be considered in the management of acute allergic reactions. 21924 Although comparative ED-based trials are not available, newer 21925 antihistamines are an option for management of acute allergic reactions 21926 when sedation is a concern. 21927 C1 Harvard Univ, Massachusetts Gen Hosp, Sch Med, Div Rheumatol Allergy & Immunol, Boston, MA 02114 USA. 21928 Harvard Univ, Massachusetts Gen Hosp, Sch Med, Dept Emergency Med, Boston, MA 02114 USA. 21929 RP Banerji, A, Harvard Univ, Massachusetts Gen Hosp, Sch Med, Div 21930 Rheumatol Allergy & Immunol, 100 Blossom St,Cox 201, Boston, MA 02114 21931 USA. 21932 EM abanerji@partners.org 21933 CR *AV PHARM INC, 2003, ALL PACK INS 21934 *MED EC CO INC, 2002, DIPH PACK INS 21935 *PFIZ INC, 2002, ZYRT PACK INS 21936 *SCH CORP, 1999, PROD INF CLAR IOR 21937 *SCH CORP, 2002, CLAR PACK INS 21938 *SCH CORP, 2002, PROD INF CLAR DESL 21939 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TC 0 22019 PU OCEAN SIDE PUBLICATIONS INC 22020 PI PROVIDENCE 22021 PA 95 PITMAN ST, PROVIDENCE, RI 02906 USA 22022 SN 1088-5412 22023 J9 ALLERGY ASTHMA PROC 22024 JI Allergy Asthma Proc. 22025 PD JUL-AUG 22026 PY 2007 22027 VL 28 22028 IS 4 22029 BP 418 22030 EP 426 22031 PG 9 22032 SC Allergy 22033 GA 204DV 22034 UT ISI:000249024700005 22035 ER 22036 22037 PT J 22038 AU Ayotamuno, JM 22039 Kogbara, RB 22040 AF Ayotamuno, Josiah M. 22041 Kogbara, Reginald B. 22042 TI Determining the tolerance level of Zea mays (maize) to a crude oil 22043 polluted agricultural soil 22044 SO AFRICAN JOURNAL OF BIOTECHNOLOGY 22045 LA English 22046 DT Article 22047 DE contaminant concentrations; crude oil contamination; fresh cob yield; 22048 lethal threshold; optimum yield limit; plant height 22049 ID PORT-HARCOURT; NIGERIA; PHYTOREMEDIATION; BIOREMEDIATION 22050 AB This research sought to investigate the tolerance level of Zea mays ( 22051 maize) on a crude oil contaminated soil using indices of plant 22052 performance such as plant height, leaf area and fresh cob yield. In the 22053 experiments described, conditions of a major spill were simulated by 22054 pouring different amounts of crude oil on experimental pots containing 22055 agricultural soil. Maize seeds were then grown amidst adequate 22056 fertilizer application and irrigation. The results of the study 22057 revealed that maize can survive soil contamination of about 21% ( 22058 similar to 177 000 mg/kg) and still produce fresh cob yield of about 22059 60% than on normal soil. There was a stimulated increase in fresh cob 22060 yield, than that obtained on normal soil at 12.5% soil contamination ( 22061 similar to 112240 mg/kg). Hence, contaminant concentrations of 112 240 22062 mg/ kg and 177 000 mg/ kg are identified as the 'optimum yield limit' 22063 and 'lethal threshold' respectively for maize growing on crude oil 22064 polluted soils. These results highlight the fact that, while concerted 22065 efforts should be made to remedy petroleum-contaminated agricultural 22066 soils, certain crops like maize can still produce beneficial yield in 22067 the presence of good soil management practices. 22068 C1 Rivers State Univ Sci & Technol, Dept Agr & Environm Engn, Port Harcourt, Nigeria. 22069 RP Ayotamuno, JM, Rivers State Univ Sci & Technol, Dept Agr & Environm 22070 Engn, PMB 5080, Port Harcourt, Nigeria. 22071 EM mjayotamuno@hotmail.com 22072 CR *IITA, 2006, RES GUID MAIZ 22073 AMAKIRI JO, 1983, OIL PETROCHEM POLLUT, V1, P199 22074 AWOBAJO AO, 1981, P INT SEM PETR IND N, P57 22075 AYOTAMUNO JM, 1997, OUTLOOK AGR, V26, P185 22076 AYOTAMUNO JM, 2006, J FOOD AGRIC ENVIRON, V4, P218 22077 AYOTAMUNO MJ, 2000, AGR MECH ASIA AFRICA, V31, P47 22078 AYOTAMUNO MJ, 2003, ENV MANAGE HLTH, V13, P207 22079 AYOTAMUNO MJ, 2006, APPL ENERG, V83, P1249 22080 AYOTAMUNO MJ, 2006, NIGER J TECHNOL, V25, P15 22081 BLACK CA, 1979, METHODS SOIL ANAL, V2, P1142 22082 BOSSERT I, 1984, PETROLEUM MICROBIOLO, P434 22083 CUNNINGHAM SD, 1996, ADV AGRON, V56, P55 22084 EGHAREVBA NA, 2005, P 6 INT C NIG I AGR, P122 22085 FRANK H, 1994, STAT CONCEPTS APPL 22086 HARPER HJ, 1939, SOIL SCI, V48, P461 22087 JOBSON AM, 1974, APPL MICROBIOL, V27, P166 22088 JUO ASR, 1979, MANUAL SERIES INT I, V1 22089 LEE ES, 1993, J ENVIRON SCI HEAL A, V28, P2187 22090 OSUJI LC, 2006, ENVIRON MONIT ASSESS, V115, P265 22091 PLICE MJ, 1948, P SOIL SCI SOC AM, V13, P413 22092 ROWELL MJ, 1997, RECLAMATION AGR SOIL, P1 22093 SAXENA MC, 1985, INDIAN J AGRON, V10, P457 22094 SCHWAB AP, 1999, ENVIRON SCI TECHNOL, V33, P1940 22095 VWIOKO DE, 2005, J APPL SCI ENV MANAG, V9, P73 22096 WILTSE CC, 1998, J ENVIRON QUAL, V27, P169 22097 NR 25 22098 TC 0 22099 PU ACADEMIC JOURNALS 22100 PI NAIROBI 22101 PA P O BOX 5170-00200, NAIROBI, 00000, KENYA 22102 SN 1684-5315 22103 J9 AFR J BIOTECHNOL 22104 JI Afr. J. Biotechnol. 22105 PD JUN 4 22106 PY 2007 22107 VL 6 22108 IS 11 22109 BP 1332 22110 EP 1337 22111 PG 6 22112 SC Biotechnology & Applied Microbiology 22113 GA 199GV 22114 UT ISI:000248685100013 22115 ER 22116 22117 PT J 22118 AU Atienza, D 22119 Del Valle, PG 22120 Paci, G 22121 Poletti, F 22122 Benini, L 22123 De Micheli, G 22124 Mendias, JM 22125 Hermida, R 22126 AF Atienza, David 22127 Del Valle, Pablo G. 22128 Paci, Giacomo 22129 Poletti, Francesco 22130 Benini, Luca 22131 De Micheli, Giovanni 22132 Mendias, Jose M. 22133 Hermida, Roman 22134 TI HW-SW emulation framework for temperature-aware design in MPSoCs 22135 SO ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS 22136 LA English 22137 DT Article 22138 DE design; measurement; performance; thermal-aware design; FPGA; 22139 emulation; MPSoC; temperature 22140 AB New tendencies envisage multiprocessor systems-on-chips (MPSoCs) as a 22141 promising solution for the consumer electronics market. MPSoCs are 22142 complex to design, as they must execute multiple applications (games, 22143 video) while meeting additional design constraints (energy consumption, 22144 time-to-market). Moreover, the rise of temperature in the die for 22145 MPSoCs can seriously affect their final performance and reliability. In 22146 this article, we present a new hardware-software emulation framework 22147 that allows designers a complete exploration of the thermal behavior of 22148 final MPSoC designs early in the design flow. The proposed framework 22149 uses FPGA emulation as the key element to model hardware components of 22150 the considered MPSoC platform at multimegahertz speeds. It 22151 automatically extracts detailed system statistics that are used as 22152 input to our software thermal library running in a host computer. This 22153 library calculates at runtime the temperature of on-chip components, 22154 based on the collected statistics from the emulated system and final 22155 floorplan of the MPSoC. This enables fast testing of various thermal 22156 management techniques. Our results show speedups of three orders of 22157 magnitude compared to cycle-accurate MPSoC simulators. 22158 C1 Univ Complutense Madrid, DACYA, E-28040 Madrid, Spain. 22159 Univ Bologna, Dipartimento Elettr Informat & Sistemist, I-40126 Bologna, Italy. 22160 EPFL IC ISIM LSI, Lausanne, Switzerland. 22161 RP Atienza, D, Univ Complutense Madrid, DACYA, Ciudad Univ, E-28040 22162 Madrid, Spain. 22163 EM datienza@dacya.ucm.es 22164 CR *AMD, 2004, THERM PERF COMP 22165 *ARM, 2002, PRIMEXSYS PLATF ARCH 22166 *ARM, 2004, ARM7TDMI STR71XF 22167 *CAD, 2005, CAD PALL 2 22168 *COWARE, 2004, CONV LIS PROD LIN 22169 *HER ENG, 2004, HER MPSOC EM 22170 *MENT GRAPH, 2003, PALTF EXPR PRIMC 22171 *SIA, 2004, INT TEHN ROADM SEM 22172 BENINI L, 2005, J VLSI SIG PROC SYST, V41, P169 22173 BRAUN G, 2003, P DATE 22174 BROOKS D, 2001, P HPCA 22175 CHEN G, 2003, PARTITION DRIVEN STA 22176 CHU CCN, 1998, IEEE T COMPUT AID D, V17, P1166 22177 FLOYD RW, 1999, P FDO 22178 GOPLEN B, 2005, P ISPD 22179 HEO S, 2003, P ISLPED 22180 JALABERT A, 2004, P DATE 22181 JERRAYA A, 2005, MULTIPROCESSOR SYSTE 22182 LOPEZBUEDO S, 2000, IEEE DES TEST COMPUT, V17, P84 22183 MAGNUSSON PS, 2002, IEEE COMPUT, V35, P50 22184 NAKAMURA Y, 2004, P DAC 22185 NAVA MD, 2005, IEEE COMPUTER JUL, P60 22186 PACI G, 1956, P DATE 22187 PAULIN PG, 2002, IEEE DES TEST COMPUT, V19, P17 22188 SKADRON K, 2002, P HPCA 22189 SKADRON K, 2004, T ARCH CODE OPTIMIZA, V1, P94 22190 SRINIVASAN J, 2003, P ICS 22191 SU H, 2003, P INT S LOW POW EL D, P78 22192 VANDEVELDE B, 2001, P SMTA 22193 NR 29 22194 TC 0 22195 PU ASSOC COMPUTING MACHINERY 22196 PI NEW YORK 22197 PA 1515 BROADWAY, NEW YORK, NY 10036 USA 22198 SN 1084-4309 22199 J9 ACM TRANSACT DES AUTOMAT EL S 22200 JI ACM Transact. Des. Automat. Electron. Syst. 22201 PY 2007 22202 VL 12 22203 IS 3 22204 AR 26 22205 DI ARTN 26 22206 PG 26 22207 SC Computer Science, Hardware & Architecture; Computer Science, Software 22208 Engineering 22209 GA 205EB 22210 UT ISI:000249095700007 22211 ER 22212 22213 PT J 22214 AU Zheng, Y 22215 Keller, AA 22216 AF Zheng, Yi 22217 Keller, Arturo A. 22218 TI Uncertainty assessment in watershed-scale water quality modeling and 22219 management: 2. Management objectives constrained analysis of 22220 uncertainty (MOCAU) 22221 SO WATER RESOURCES RESEARCH 22222 LA English 22223 DT Article 22224 ID BAYESIAN-ESTIMATION; SENSITIVITY; CALIBRATION; EQUIFINALITY; PREDICTIONS 22225 AB Watershed-scale water quality models are increasingly used to support 22226 management decision making. However, significant uncertainty in model 22227 output remains an unaddressed issue. In our first study, a framework 22228 for assessing the uncertainty in watershed modeling and management was 22229 developed, and the application of the generalized likelihood 22230 uncertainty estimation ( GLUE) approach was examined. The influence of 22231 subjective choices ( especially the likelihood measure) in a GLUE 22232 analysis, as well as of availability of observational data, was 22233 investigated. On the basis of GLUE, we developed a new Bayesian 22234 approach of uncertainty analysis, specifically for management-oriented 22235 watershed water quality modeling, as introduced in this paper. The 22236 approach, named management objectives constrained analysis of 22237 uncertainty (MOCAU), inherits GLUE's equifinality ideology while 22238 explicitly considering management objectives and observational 22239 uncertainty. It has many unique features that have not been covered ( 22240 or have not been explored in great detail) by previous GLUE studies. A 22241 series of experiments was conducted to investigate the performance of 22242 MOCAU. The results show that MOCAU can be applied efficiently, 22243 generating accurate uncertainty estimates for management applications. 22244 Subjective assumptions in the uncertainty analysis are explicit and 22245 realistic, on the basis of management objectives such as nonattainment 22246 frequency of water quality objectives. MOCAU also yields insights into 22247 watershed model structure improvement and strategic data collection to 22248 reduce uncertainty. Besides water quality modeling, MOCAU can also be 22249 applied to other complicated modeling problems where errors are 22250 significant, observational data is limited, and management objectives 22251 are involved. 22252 C1 Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA. 22253 RP Zheng, Y, Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, 22254 Santa Barbara, CA 93106 USA. 22255 CR *CAL DEP PEST REG, 1998, ANN PEST US DAT US D 22256 BECK MB, 1987, WATER RESOUR RES, V23, P1393 22257 BEVEN K, 1992, HYDROL PROCESS, V6, P279 22258 BEVEN K, 2006, J HYDROL, V320, P18 22259 BICKNELL BR, 2001, HYDROLOGICAL SIMUMAT 22260 CHEN CW, 1996, WATER AIR SOIL POLL, V90, P1 22261 CHEN CW, 1999, J ENVIRON ENG-ASCE, V125, P653 22262 CRAIG PS, 2001, J AM STAT ASSOC, V96, P717 22263 FRANKS SW, 1997, J GEOPHYS RES-ATMOS, V102, P23991 22264 FREER J, 1996, WATER RESOUR RES, V32, P2161 22265 HARRISON L, 2005, CAL WORLD OC 02 AM S 22266 HELTON JC, 1993, RELIAB ENG SYST SAFE, V42, P327 22267 IMAN PL, 1985, NUREGCR3904 SAND NAT 22268 KELLER AA, 2004, J AM WATER RESOUR AS, V40, P721 22269 KENNEDY MC, 2001, J ROY STAT SOC B 3, V63, P425 22270 MERTENS J, 2004, J HYDROL, V294, P251 22271 MULETA MK, 2005, J HYDROL, V306, P127 22272 NEITSCH SL, 2001, SOIL WATER ASSESSMEN 22273 PAGE T, 2003, WATER AIR SOIL POLL, V142, P71 22274 ROBINSON TH, 2005, AGR WATER MANAGE, V77, P144 22275 SIEPMANN S, 2000, 003 CAL DEP FISH GAM 22276 SOHRABI TM, 2003, ENVIRON FORENSICS, V4, P229 22277 YAPO PO, 1998, J HYDROL, V204, P83 22278 ZAK SK, 1999, SCI TOTAL ENVIRON, V236, P191 22279 ZHENG Y, 2006, WATER RESOUR RES, V42 22280 ZHENG Y, 2006, WATER RESOUR RES, V43 22281 NR 26 22282 TC 0 22283 PU AMER GEOPHYSICAL UNION 22284 PI WASHINGTON 22285 PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA 22286 SN 0043-1397 22287 J9 WATER RESOUR RES 22288 JI Water Resour. Res. 22289 PD AUG 4 22290 PY 2007 22291 VL 43 22292 IS 8 22293 AR W08408 22294 DI ARTN W08408 22295 PG 13 22296 SC Environmental Sciences; Limnology; Water Resources 22297 GA 198FF 22298 UT ISI:000248611700002 22299 ER 22300 22301 PT J 22302 AU Hajkowicz, S 22303 Collins, K 22304 AF Hajkowicz, Stefan 22305 Collins, Kerry 22306 TI A review of multiple criteria analysis for water resource planning and 22307 management 22308 SO WATER RESOURCES MANAGEMENT 22309 LA English 22310 DT Review 22311 DE multiple criteria analysis; decision making; water resource planning 22312 ID MULTICRITERIA DECISION-ANALYSIS; RIVER-BASIN; PROJECTS; RANKING; 22313 SYSTEM; JORDAN 22314 AB Multiple criteria analysis (MCA) is a framework for ranking or scoring 22315 the overall performance of decision options against multiple 22316 objectives. The approach has widespread and growing application in the 22317 field of water resource management. This paper reviews 113 published 22318 water management MCA studies from 34 countries. It finds that MCA is 22319 being heavily used for water policy evaluation, strategic planning and 22320 infrastructure selection. A wide range of MCA methods are being used 22321 with the fuzzy set analysis, paired comparison and outranking methods 22322 being most common. The paper also examines the motivations for adopting 22323 MCA in water management problems and considers future research 22324 directions. 22325 C1 CSIRO Sustainable Ecosyst, St Lucia, Qld 4067, Australia. 22326 RP Hajkowicz, S, CSIRO Sustainable Ecosyst, 306 Carmody Rd, St Lucia, Qld 22327 4067, Australia. 22328 EM Stefan.Hajkowicz@csiro.au 22329 CR *RES ASS COMM, 1992, MULT AN RES ASS TOOL 22330 *WORLD COMM ENV DE, 1987, OUR COMM FUT 22331 ABRISHAMCHI A, 2005, J WATER RES PL-ASCE, V131, P326 22332 AGRELL PJ, 1998, J MULTICRITERIA DECI, V7, P61 22333 ALMASRI MN, 2005, J ENVIRON MANAGE, V74, P365 22334 ALRASHDAN D, 1999, EUR J OPER RES, V118, P30 22335 BRANS JP, 1986, EUR J OPER RES, V24, P228 22336 BROWN K, 2001, ECOL ECON, V37, P417 22337 BUCKLEY JJ, 1984, FUZZY SET SYST, V13, P25 22338 CAI XM, 2004, J WATER RES PL-ASCE, V130, P4 22339 CHANG NB, 1997, EUR J OPER RES, V99, P289 22340 CHUNTIAN C, 2002, EUR J OPER RES, V142, P625 22341 COHON JL, 1975, WATER RESOUR RES, V11, P208 22342 COSTA CAB, 2005, MULTIPLE CRITERIA DE, P409 22343 COSTA CAPE, 2004, WATER RESOUR MANAG, V18, P263 22344 DUNNING DJ, 2000, ENVIRON SCI POLICY, V3, P7 22345 ECKENRODE RT, 1965, MANAGE SCI, V12, P180 22346 EDER G, 1997, J MULTICRITERIA DECI, V6, P259 22347 FERNANDES L, 1999, CORAL REEFS, V18, P393 22348 FIGUEIRA J, 2005, MULTIPLE CRITERIA DE, P1045 22349 FIGUEIRA J, 2005, MULTIPLE CRITERIA DE, P133 22350 GERSHON M, 1983, J WATER RES PL-ASCE, V109, P13 22351 GREINER R, 2005, MAR POLLUT BULL, V51, P128 22352 HAYASHI K, 2000, EUR J OPER RES, V122, P486 22353 HAYNES D, 2001, GREAT BARRIER REEF W 22354 HOWARD AF, 1991, CAN J FOREST RES, V21, P1649 22355 HYDE KM, 2004, J WATER RES PL-ASCE, V130, P429 22356 JOUBERT A, 2003, J MULTICRITERIA DECI, V12, P17 22357 JOUBERT AR, 1997, ECOL ECON, V22, P123 22358 KARNIB A, 2004, WATER RESOUR MANAG, V18, P13 22359 KEENEY RL, 1993, DECISIONS MULTIPLE O 22360 LAI YJ, 1994, EUR J OPER RES, V76, P486 22361 LEBERLING H, 1981, FUZZY SETS SYSTEMS, V6, P105 22362 LEE CS, 2005, WATER RES, V39, P221 22363 MIMI ZA, 2003, WATER RESOUR MANAG, V17, P447 22364 MINGERS J, 2004, EUR J OPER RES, V152, P530 22365 MUSTAJOKI J, 2004, ENVIRON MODELL SOFTW, V19, P537 22366 NAYAK RC, 2001, WATER RESOUR MANAG, V15, P383 22367 OZELKAN E, 1996, J ENVIRON MANAGE, V48, P69 22368 POHEKAR SD, 2004, RENEW SUST ENERG REV, V8, P365 22369 PRATO T, 1999, ECOL ECON, V30, P207 22370 RAJU KS, 1999, AGR SYST, V62, P117 22371 ROMERO C, 1987, EUROPEAN REV AGR EC, V14, P61 22372 ROY B, 1968, REV INFORMATIQUE REC, V8, P57 22373 SAATY RW, 1987, MATH MODELLING, V9, P161 22374 SCHULTZ MT, 2001, J ENVIRON MANAGE, V62, P429 22375 SRDJEVIC B, 2004, WATER RESOUR MANAG, V18, P35 22376 STEUER RE, 1986, MULTIPLE CRITERIA OP 22377 STEUER RE, 2003, EUR J OPER RES, V150, P496 22378 TECLE A, 1992, WATER RESOUR BULL, V28, P129 22379 TIWARI DN, 1999, AGR SYST, V60, P99 22380 TZIONAS P, 2004, ENVIRON MANAGE, V34, P245 22381 YIN YY, 1999, J WATER RES PL-ASCE, V125, P41 22382 ZADEH LA, 1965, FUZZY SETS INFORMATI, V8, P338 22383 ZELENY M, 1973, MULTIPLE CRITERIA DE, P262 22384 NR 55 22385 TC 0 22386 PU SPRINGER 22387 PI DORDRECHT 22388 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 22389 SN 0920-4741 22390 J9 WATER RESOUR MANAG 22391 JI Water Resour. Manag. 22392 PD SEP 22393 PY 2007 22394 VL 21 22395 IS 9 22396 BP 1553 22397 EP 1566 22398 PG 14 22399 SC Engineering, Civil; Water Resources 22400 GA 201ME 22401 UT ISI:000248835000008 22402 ER 22403 22404 PT J 22405 AU Ponthieu, M 22406 Pinel-Raffaitin, P 22407 Le Hecho, I 22408 Mazeas, L 22409 Amouroux, D 22410 Donard, OFX 22411 Potin-Gautier, M 22412 AF Ponthieu, Marie 22413 Pinel-Raffaitin, Pauline 22414 Le Hecho, Isabelle 22415 Mazeas, Laurent 22416 Amouroux, David 22417 Donard, Olivier F. X. 22418 Potin-Gautier, Martine 22419 TI Speciation analysis of arsenic in landfill leachate 22420 SO WATER RESEARCH 22421 LA English 22422 DT Article 22423 DE landfill leachates; arsenic; speciation; HPLC-ICP-MS 22424 ID PERFORMANCE LIQUID-CHROMATOGRAPHY; PLASMA-MASS SPECTROMETRY; HG-AFS; 22425 SAMPLES; STABILITY; WATER; METAL 22426 AB As environmental impacts of landfill last from beginning of cell 22427 filling to many years after, there is an increasing interest in 22428 monitoring landfill leachate composition especially with regards to 22429 metals and metalloids. High-performance liquid chromatography (HPLC) 22430 coupled with inductively coupled plasma mass spectrometry (ICP-MS) has 22431 been applied to the speciation of arsenic in landfill leachates. The 22432 difficulty is related to the complexity and heterogeneity of leachate 22433 matrices. A soft sample preparation protocol with water dilution and 22434 filtration of leachates has proved to be sufficient for the achievement 22435 of identification and quantification of arsenic species without matrix 22436 effect. The cationic-exchange separation method developed has enabled 22437 the detection of six arsenic species (AsIII, MMA, AsV, DMA, AsB, TMAO) 22438 in different landfill leachates. The wide range of concentrations of 22439 arsenic species (from 0.2 to 250 9 mu g As L-1) and their repartition 22440 illustrate the high variability of these effluents depending on the 22441 nature of the wastes, the landfill management, the climatic conditions 22442 and the degradation phase, to list a few. These results provide new 22443 information about the chemical composition of these effluents which is 22444 useful to better adapt their treatment and to achieve the risk 22445 assessment of landfill management. (C) 2007 Elsevier Ltd. All rights 22446 reserved. 22447 C1 Univ Pau & Pays Adour, Lab Chim Analyt Bioinorgan & Environm, IPREM, UMR 5254, F-64000 Pau, France. 22448 CEMAGREF, Unite Hydrosyst & Bioprocedes, F-92163 Antony, France. 22449 RP Le Hecho, I, Univ Pau & Pays Adour, Lab Chim Analyt Bioinorgan & 22450 Environm, IPREM, UMR 5254, Ave Univ, F-64000 Pau, France. 22451 EM isabelle.lehecho@univ-pau.fr 22452 CR BAUN DL, 2004, WASTE MANAGE RES, V22, P3 22453 BHYMER C, 2004, J CHROMATOGR A, V1045, P1 22454 CARTER DE, 2003, TOXICOL APPL PHARM, V193, P309 22455 CHRISTENSEN TH, 2001, APPL GEOCHEM, V16, P659 22456 CLEMENT B, 1995, P SARD 95 5 INT LAND, P315 22457 CRAIG PJ, 1986, ORGANOMETALLIC COMPO 22458 FELDMANN J, 1995, INT J ENVIRON AN CH, V60, P339 22459 FRANCESCNI KA, 1994, BIOTRANSFORMATION AR 22460 GONG ZL, 2002, TALANTA, V58, P77 22461 HIRNER AV, 2003, ACS SYM SER, V835, P141 22462 HUGHES MF, 2002, TOXICOL LETT, V133, P1 22463 LOEBENSTEIN JR, 1994, US BUREAU MINES INFO, V9382, P1 22464 MAHLER G, 2005, P SARD 2005 10 INT W 22465 PALACIOS MA, 1997, ANAL CHIM ACTA, V340, P209 22466 PINEL P, 2005, P SARD 2005 10 INT L 22467 PINEL P, 2005, P SARD 2005 10 INT W 22468 PINELRAFFAITIN P, 2006, J ENVIRON MONITOR, V8, P1069 22469 SEGURA M, 2002, ANAL BIOANAL CHEM, V374, P513 22470 SIMON S, 2004, J CHROMATOGR A, V1024, P105 22471 SUNER MA, 2001, J ANAL ATOM SPECTROM, V16, P390 22472 TERASAHDE P, 1996, J CHROMATOGR A, V750, P83 22473 VILANO M, 2000, ANAL CHIM ACTA, V411, P71 22474 NR 22 22475 TC 0 22476 PU PERGAMON-ELSEVIER SCIENCE LTD 22477 PI OXFORD 22478 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 22479 SN 0043-1354 22480 J9 WATER RES 22481 JI Water Res. 22482 PD JUL 22483 PY 2007 22484 VL 41 22485 IS 14 22486 BP 3177 22487 EP 3185 22488 PG 9 22489 SC Engineering, Environmental; Environmental Sciences; Water Resources 22490 GA 191UN 22491 UT ISI:000248157600017 22492 ER 22493 22494 PT J 22495 AU Liaw, CH 22496 Tsai, YL 22497 Huang, WM 22498 Huan, CJ 22499 Chen, JL 22500 AF Liaw, Chao-Hsien 22501 Tsai, Yao-Lung 22502 Huang, Wei-Min 22503 Huan, Chun-Jen 22504 Chen, Jui-Ling 22505 TI Pilot on-site tests to evaluate the permeability of infiltration gutters 22506 SO WATER ENVIRONMENT RESEARCH 22507 LA English 22508 DT Article 22509 DE infiltration gutter; rainwater utilization; best management practices; 22510 infiltration; runoff; stormwater 22511 ID PERMEAMETER 22512 AB This study assessed the performance and developed a simple approach for 22513 estimating infiltration capacity of two infiltration gutters by using 22514 on-site tests. Permeable-brick and redbrick infiltration gutters were 22515 constructed on-site. Water infiltrated from the surfaces of two 22516 vertical sides (NFS-2S), bottom (NFS-B), and three faces (NFS-3S) of 22517 two gutters were measured under nonflowing and steady-state conditions. 22518 Tests results from NFS-2S and NFS-3S indicate that the permeability and 22519 water depth for both gutters are linearly dependent on each other. 22520 Experimental results also indicate that, when the bottom of the gutter 22521 is clogged, the permeable-brick gutter still retains approximately 93 22522 and 79% for redbrick gutter of their infiltration capacity for NFS-3S. 22523 On the whole, penneable-brick gutter has an advantage over redbrick 22524 gutter in stormwater infiltration. Based on these results, the 22525 permeability for different water depths and widths of these two gutters 22526 can be obtained. 22527 C1 Natl Taiwan Ocean Univ, Dept Harbor & River Engn, Chilung, Taiwan. 22528 Aletheia Univ, Dept Leisure & Recreat, Tainan, Taiwan. 22529 Minist Econ Affairs, Water Resource Agcy, Taipei, Taiwan. 22530 RP Tsai, YL, Natl Taiwan Ocean Univ, Dept Harbor & River Engn, Chilung, 22531 Taiwan. 22532 EM chliaw@ms4l.hinet.net 22533 d87520080@yahoo.com.tw 22534 CR *ARCH BUILD RES I, 2005, EV MAN GREEN BUILD T 22535 *ASS RAINW STOR IN, 2000, ENG GUID RAINW INF F 22536 *FED INT STREAM RE, 2001, STREAM CORR REST PRI 22537 BARDET JP, 1997, EXPT SOIL MECH 22538 CHIN DA, 2000, WATER RES ENG 22539 FERGUSON BK, 1994, STORMWATER INFILTRAT 22540 FINKENBINE JK, 2000, J AM WATER RESOUR AS, V36, P1149 22541 GUO CY, 1998, J WATER RES PL-ASCE, V124, P280 22542 GUO JCY, 2003, WATER INT, V28, P411 22543 IMBE M, 2002, RAINW UT TAIP TAIW N 22544 IMBE M, 2005, P E AS 2005 INF TECH 22545 ISHZAKI K, 1993, J HYDRO HYDRAU ENG, P72 22546 KONRAD CP, 2002, WATER RESOUR RES, V38 22547 LINSELY G, 1992, J SOIL WATER CONSERV, V47, P481 22548 MAJED AZ, 2000, AGR WATER MANAGE, V46, P183 22549 REYNOLDS WD, 1985, SOIL SCI, V139, P172 22550 REYNOLDS WD, 1987, SOIL SCI, V144, P282 22551 SEKI K, 2005, J JPN SOC SOIL PHYS, V97, P25 22552 SIEKER H, 1998, WATER SCI TECHNOL, V38, P91 22553 WARNAARS E, 1999, WATER SCI TECHNOL, V39, P217 22554 WATANABE S, 1995, WATER SCI TECHNOL, V32, P25 22555 WINTER JG, 1998, CANADIAN WATER RESOU, V23, P245 22556 NR 22 22557 TC 0 22558 PU WATER ENVIRONMENT FEDERATION 22559 PI ALEXANDRIA 22560 PA 601 WYTHE ST, ALEXANDRIA, VA 22314-1994 USA 22561 SN 1061-4303 22562 J9 WATER ENVIRON RES 22563 JI Water Environ. Res. 22564 PD AUG 22565 PY 2007 22566 VL 79 22567 IS 8 22568 BP 821 22569 EP 827 22570 PG 7 22571 SC Engineering, Environmental; Environmental Sciences; Limnology; Water 22572 Resources 22573 GA 200SE 22574 UT ISI:000248782300002 22575 ER 22576 22577 PT J 22578 AU Cambio, AJ 22579 Ellison, LM 22580 Chamie, K 22581 devere White, RW 22582 Evans, CP 22583 AF Cambio, Angelo J. 22584 Ellison, Lars M. 22585 Chamie, Karim 22586 deVere White, Ralph W. 22587 Evans, Christopher P. 22588 TI Cost-benefit and outcome analysis: Effect of prostate biopsy 22589 undergrading 22590 SO UROLOGY 22591 LA English 22592 DT Article 22593 ID RELAPSE-FREE SURVIVAL; RADICAL PROSTATECTOMY; NEEDLE-BIOPSY; GLEASON 22594 SCORES; CANCER; BRACHYTHERAPY; MANAGEMENT; SPECIMENS; RADIOTHERAPY; 22595 RECURRENCE 22596 AB Objectives Brachytherapy is a widely used treatment for localized 22597 prostate cancer (CaP) and is only appropriate as monotherapy I-or 22598 low-risk cancer. The predicted response to therapy is defined by the 22599 pretreatment parameters, of which the biopsy Gleason grade is central. 22600 However, the biopsy grade often misrepresents the true pathologic 22601 grade. We examined the impact of incorrect biopsy grading on 22602 brachytherapy Outcomes. 22603 Methods We constructed a decision analytic model to assess the 22604 theoretical performance of brachytherapy for a theoretical cohort of 22605 men with Gleason score 6 Cal? who underwent radical prostatectomy. The 22606 variables regarding biopsy Gleason scores and the correlation with the 22607 surgical specimen findings were generated from the institutional data. 22608 The ranges for these variables, biochemical performance of 22609 brachytherapy, costs, and disease state utilities, were obtained from a 22610 data review. 22611 Results For the base case, 67% of biopsy grades correlated with the 22612 pathologic grade. With this concordance, 8% of failures could be 22613 attributed, in part, to undergrading. On the basis of the model 22614 assumptions, as concordance worsened to 50%, the rate of undergraded 22615 failures increased to 12%. After adjusting for the quality of life 22616 associated with higher-grade disease and the risk of biochemical 22617 failure, the aggregate cost of treatment of biopsy grade 6 disease was 22618 increased by 8% because of undergrading ($75,700 versus $81,500 per 22619 case). The bulk of this effect was the cost of failure among patients 22620 with undergraded disease. 22621 Conclusions Brachytherapy for Gleason score 6 disease is reported to 22622 have excellent results. Undergrading of prostate biopsies can 22623 negatively affect clinical outcomes and increase treatment costs. 22624 Although the risk is low, it should be considered when counseling 22625 patients with CaP. 22626 C1 Univ Calif Davis, Med Ctr, Dept Urol, Sacramento, CA 95817 USA. 22627 RP Evans, CP, Univ Calif Davis, Med Ctr, Dept Urol, 4860 Y St,Suite 3500, 22628 Sacramento, CA 95817 USA. 22629 EM Christopher.evans@ucdmc.ucdavis.edu 22630 CR ASTROM L, 2005, RADIOTHER ONCOL, V74, P157 22631 BLASKO JC, 2000, INT J RADIAT ONCOL, V46, P839 22632 CARTER HB, 2002, J UROLOGY, V167, P1231 22633 COOKSON MS, 1997, J UROLOGY, V157, P559 22634 COOPERBERG MR, 2004, J UROLOGY, V171, P1393 22635 DAMICO AV, 2000, JAMA-J AM MED ASSOC, V284, P1280 22636 FUKAGAI T, 2001, PATHOL INT, V51, P364 22637 GARNETT JE, 1984, J UROLOGY, V131, P690 22638 GRIMM PD, 2001, INT J RADIAT ONCOL, V51, P31 22639 GROSSFELD GD, 2003, J UROLOGY, V169, P157 22640 HAN M, 2001, J UROLOGY, V166, P416 22641 JEMAL A, 2007, CA-CANCER J CLIN, V57, P43 22642 JOSEPH J, 2004, BJU INT, V94, P1235 22643 KING CR, 2000, INT J CANCER, V90, P326 22644 KING CR, 2004, INT J RADIAT ONCOL, V59, P386 22645 MANDELBLATT JS, 1996, COST EFFECTIVENESS H, P425 22646 MIAN BM, 2006, UROLOGY, V67, P379 22647 NAG S, 1999, INT J RADIAT ONCOL, V44, P789 22648 PENSON DF, 2004, J UROLOGY 1, V171, P2250 22649 POTTERS L, 1999, CANCER J SCI AM, V5, P301 22650 SANFRANCISCO IF, 2003, J UROLOGY, V169, P136 22651 SCHERR D, 2003, UROLOGY S, V61, P14 22652 SHEN BY, 2003, CHANG GUNG MED J, V26, P919 22653 SMITH EB, 2002, CANCER, V94, P2282 22654 STEINBERG DM, 1997, AM J SURG PATHOL, V21, P566 22655 STEWART ST, 2005, MED CARE, V43, P347 22656 SVED PD, 2004, J UROLOGY, V172, P98 22657 NR 27 22658 TC 0 22659 PU ELSEVIER SCIENCE INC 22660 PI NEW YORK 22661 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 22662 SN 0090-4295 22663 J9 UROLOGY 22664 JI Urology 22665 PD JUN 22666 PY 2007 22667 VL 69 22668 IS 6 22669 BP 1152 22670 EP 1156 22671 PG 5 22672 SC Urology & Nephrology 22673 GA 188KC 22674 UT ISI:000247917800030 22675 ER 22676 22677 PT J 22678 AU Szwast, A 22679 Tian, Z 22680 McCann, M 22681 Donaghue, D 22682 Bebbington, M 22683 Johnson, M 22684 Wilson, RD 22685 Rychik, J 22686 AF Szwast, A. 22687 Tian, Z. 22688 McCann, M. 22689 Donaghue, D. 22690 Bebbington, M. 22691 Johnson, M. 22692 Wilson, R. D. 22693 Rychik, J. 22694 TI Impact of altered loading conditions on ventricular performance in 22695 fetuses with congenital cystic adenomatoid malformation and twin-twin 22696 transfusion syndrome 22697 SO ULTRASOUND IN OBSTETRICS & GYNECOLOGY 22698 LA English 22699 DT Article 22700 DE cardiac performance; CCAM; fetal Doppler; fetal heart; TTTS 22701 ID RENIN-ANGIOTENSIN-SYSTEM; CONGESTIVE-HEART-FAILURE; MYOCARDIAL 22702 PERFORMANCE; CARDIAC-OUTPUT; TEI-INDEX; EJECTION FORCE; FETAL LAMB; 22703 ECHOCARDIOGRAPHY; PATHOGENESIS; MANAGEMENT 22704 AB Objectives In the fetus with a structurally normal heart, two 22705 conditions - giant chest mass, such as congenital cystic adenomatoid 22706 malformation (CCAM), and twin-twin transfusion syndrome (TTTS) - alter 22707 ventricular loading conditions and may result in cardiovascular 22708 compromise. The aim of this study was to elucidate the mechanism of 22709 cardiovascular dysfunction by comparing geometry-independent, Doppler 22710 flow-derived measures of ventricular performance in fetuses with 22711 altered loading conditions vs. those in normal fetuses. 22712 Methods Doppler flow-derived measures of myocardial performance index 22713 (MPI) as described by Tei, ventricular ejection force as described by 22714 Isaaz, and combined cardiac output (CCO) were obtained by 22715 echocardiography in fetuses with a normal cardiovascular system (n = 22716 76) or CCAM (n = 36) and fetal partners with TTTS (n = 22). 22717 Results In the CCAM group, systolic performance as evidenced by the 22718 ejection forces was preserved, right ventricular (RV) MPI was increased 22719 and CCO diminished, suggesting diastolic dysfunction and poor filling 22720 secondary to cardiac compression and a tamponade effect. In TTTS, 22721 recipient twins exhibited greater left ventricular (LV) ejection forces 22722 and higher CCO than donor twins, and had abnormal RV and LV MPI, 22723 reflecting increased preload, preserved left systolic performance, but 22724 diastolic dysfunction. Donor twins bad diminished ejection forces and 22725 CCO in comparison with normal controls and recipient partners, 22726 reflecting hypovolemia. 22727 Conclusions In both CCAM and recipient twins of the TTTS, diastolic 22728 dysfunction plays a significant role in the pathophysiology of each 22729 disorder and precedes changes in systolic performance. Measures of 22730 ventricular performance can help elucidate poorly understood mechanisms 22731 of cardiovascular compromise in the developing fetus. Copyright (C) 22732 2007 ISUOG. Published by John Wiley & Sons, Ltd. 22733 C1 Childrens Hosp Philadelphia, Dept Pediat, Div Cardiol, Fetal Heart Program, Philadelphia, PA 19104 USA. 22734 Childrens Hosp Philadelphia, Ctr Fetal Diag & Treatment, Dept Surg, Philadelphia, PA 19104 USA. 22735 RP Szwast, A, Childrens Hosp Philadelphia, Dept Pediat, Div Cardiol, 2nd 22736 Floor Main,34th Str & Civic Ctr Blvd, Philadelphia, PA 19050 USA. 22737 EM szwasr@email.chop.edu 22738 CR ANDERSON DF, 1981, AM J PHYSIOL, V241, H60 22739 BAJORIA R, 2004, EUR J OBSTET GYN R B, V113, P49 22740 BARREA C, 2005, AM J OBSTET GYNECOL, V192, P892 22741 CHEUNG YF, 2000, LANCET, V355, P1157 22742 DESMEDT MCH, 1987, AM J CARDIOL, V60, P338 22743 DUBIN J, 1990, AM HEART J, V120, P116 22744 EIDEM BW, 2001, ECHOCARDIOGR-J CARD, V18, P9 22745 FALKENSAMMER CB, 2001, J PERINAT MED, V29, P390 22746 FESSLOVA V, 1998, AM J OBSTET GYNECOL, V179, P1056 22747 FRIEDMAN D, 2003, ULTRASOUND OBST GYN, V21, P33 22748 GALEA P, 2005, PRENATAL DIAG, V25, P777 22749 HARKNESS UF, 2005, SEMIN PERINATOL, V29, P296 22750 HUNTSMAN LL, 1983, CIRCULATION, V67, P593 22751 ICHIZUKA K, 2005, EARLY HUM DEV, V81, P273 22752 ISAAZ K, 1989, AM J CARDIOL, V64, P81 22753 JAIN V, 2004, CLIN OBSTET GYNECOL, V47, P181 22754 KILBY MD, 2001, PEDIATR DEVEL PATHOL, V4, P175 22755 MAHIEUCAPUTO D, 2000, AM J PATHOL, V156, P629 22756 MAHIEUCAPUTO D, 2001, FETAL DIAGN THER, V16, P241 22757 MAHIEUCAPUTO D, 2005, PEDIATR RES, V58, P685 22758 MAHLE WT, 2000, ULTRASOUND OBST GYN, V16, P620 22759 MIELKE G, 2001, CIRCULATION, V103, P1662 22760 MILLER JA, 1996, J PEDIATR SURG, V31, P805 22761 PINSON CW, 1991, CIRC RES, V68, P947 22762 QUINTERO RA, 1999, J PERINATOL, V19, P550 22763 QUINTERO RA, 2003, CLIN PERINATOL, V30, P591 22764 RABOISSON MJ, 2003, AM J CARDIOL, V91, P919 22765 RELLER MD, 1987, PEDIATR RES, V22, P621 22766 RIZZO G, 1995, ULTRASOUND OBST GYN, V5, P247 22767 RYCHIK J, 2004, J AM SOC ECHOCARDIOG, V17, P803 22768 SUTTON MS, 1991, BRIT HEART J, V66, P285 22769 TAGUCHI T, 1995, FETAL DIAGN THER, V10, P400 22770 TEI C, 1995, J CARDIOL, V26, P357 22771 TEI C, 1997, J AM SOC ECHOCARDIOG, V10, P169 22772 TSUTSUMI T, 1999, PEDIATR INT, V41, P722 22773 VANGEMERT MJC, 2001, CURR OPIN OBSTET GYN, V13, P193 22774 WEE LY, 2002, SEMIN NEONATOL, V7, P187 22775 ZOSMER N, 1994, BRIT HEART J, V72, P74 22776 NR 38 22777 TC 0 22778 PU JOHN WILEY & SONS LTD 22779 PI CHICHESTER 22780 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 22781 SN 0960-7692 22782 J9 ULTRASOUND OBSTET GYN 22783 JI Ultrasound Obstet. Gynecol. 22784 PD JUL 22785 PY 2007 22786 VL 30 22787 IS 1 22788 BP 40 22789 EP 46 22790 PG 7 22791 SC Acoustics; Obstetrics & Gynecology; Radiology, Nuclear Medicine & 22792 Medical Imaging 22793 GA 191CB 22794 UT ISI:000248106300007 22795 ER 22796 22797 PT J 22798 AU Mee, JF 22799 AF Mee, J. F. 22800 TI The role of the veterinarian in bovine fertility management on modern 22801 dairy farms 22802 SO THERIOGENOLOGY 22803 LA English 22804 DT Article 22805 DE dairy herd; subfertility; reproductive management; veterinary services; 22806 needs analysis 22807 ID HOLSTEIN-FRIESIAN COWS; REPRODUCTIVE-PERFORMANCE; MILK-PRODUCTION; 22808 HERDS; CATTLE 22809 AB The decline in dairy herd fertility internationally has highlighted the 22810 limited impact of traditional veterinary approaches to herd fertility. 22811 The role of the veterinarian in fertility management on dairy farms has 22812 evolved from addressing individual clinical conditions to analyzing 22813 suboptimal herd metrics. However, this paradigm shift has only 22814 successfully occurred in some dairy industries and less so in others. 22815 Needs analyses indicate that the critical constraints to change are 22816 veterinary practice size, client motivation and data quality and 22817 availability. In addition, this review identified the inability of 22818 veterinarians to demonstrate and to market the cost-benefit of their 22819 fertility management services as important impediments to change. In 22820 many cases change is not being managed but is imposed by the growth of 22821 paraprofessionals. Some veterinarians still see their role as an animal 22822 clinician while others have evolved into leaders of the herd fertility 22823 management team. The core role of dairy veterinarians remains 22824 individual animal examinations but this must be supplemented with 22825 systematic herd fertility investigation and veterinarian-led herd 22826 fertility management. This new role encompasses leading the change from 22827 clinical calls only to a planned approach to herd fertility, 22828 demonstrating the cost-benefits of the program, scheduling fertility 22829 management consultations, assisting the farmer in setting specific, 22830 measurable. attainable, relevant and time-limited (SMART) goals, 22831 drawing up standard operating procedures (SOPs), training and auditing 22832 staff in fertility management practices, encouraging a team approach, 22833 implementing veterinary fertility management and monitoring 22834 performance. Veterinarians who fail to engage in this process of change 22835 risk being marginalized by others keen to promote their herd fertility 22836 services. (c) 2007 Elsevier Inc. All rights reserved. 22837 C1 Fermoy Co, Moorepk Dairy Prod Res Ctr, TEAGASC, Cork, Ireland. 22838 RP Mee, JF, Fermoy Co, Moorepk Dairy Prod Res Ctr, TEAGASC, Cork, Ireland. 22839 EM john.mee@teagasc.ie 22840 CR BORSBERRY S, 2005, PRACT, V27, P536 22841 BOYLE LA, 2007, APPL ANIM BEHAV SCI, V106, P1 22842 BUCKLEY F, 2002, TEAGASC IRISH FARMER, P1 22843 BUCKLEY F, 2003, REPROD NUTR DEV, V43, P543 22844 BUCKLEY F, 2004, J DAIRY SCI S1, V87, P257 22845 FAHEY J, 2002, ANIM REPROD SCI, V74, P133 22846 FOWLER C, 2006, DEXCEL REP, P1 22847 GREEN M, 2007, CATTLE PRACT 1, V15, P53 22848 GREEN MJ, 2007, VET REC, V160, P287 22849 HANKS J, 2006, UK VET LIVESTOCK, V11, P30 22850 HORAN B, 2004, ANIM SCI 3, V79, P453 22851 KUSTRITZ MVR, 2006, JAVMA-J AM VET MED A, V229, P514 22852 LATHAM CE, 2007, VET REC, V160, P181 22853 LEAN IJ, 2003, P AUS NZ COMBINED DA, V20, P419 22854 LOEFFLER S, 2002, P SOC DAIRY CATTLE V, V19, P93 22855 LOGUE DN, 2004, CATTLE PRACT 1, V12, P51 22856 LUCY MC, 2001, J DAIRY SCI, V84, P1277 22857 MEE J, 2007, POINT VET, V38, P14 22858 MEE JF, 2003, P NATL DAIRY C, P134 22859 MEE JF, 2004, IRISH VET J, V57, P158 22860 MEE JF, 2004, VET CLIN N AM-FOOD A, V20, P521 22861 OPSOMER G, 2006, P WORLD BUIATR C, P484 22862 OVERTON MW, 2006, P 39 ANN CONV AABP, P181 22863 PATTON J, 2007, J DAIRY SCI, V90, P649 22864 PETERSEN F, 2006, ABSTS WORLD BUIATR C 22865 ROELOFS RMG, 2006, BOOK ABSTS, P258 22866 SEEGERS H, 2006, P WORLD BUIATRICS C, P292 22867 SHELDON IM, 2006, VET J, V171, P70 22868 SHELDON IM, 2006, VET REC, V159, P577 22869 SILKE V, 2002, ANIM REPROD SCI, V71, P1 22870 STEVENSON JS, 2000, J DAIRY SCI S1, V83, P25 22871 STUDER E, 1998, J DAIRY SCI, V81, P872 22872 WASSELL TRA, 1995, BOVINE PRACTITIONER, V29, P24 22873 WHITAKER D, 2005, P PROV C FOC FERT, P12 22874 NR 34 22875 TC 0 22876 PU ELSEVIER SCIENCE INC 22877 PI NEW YORK 22878 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 22879 SN 0093-691X 22880 J9 THERIOGENOLOGY 22881 JI Theriogenology 22882 PD SEP 1 22883 PY 2007 22884 VL 68 22885 SU Suppl. 1 22886 BP S257 22887 EP S265 22888 PG 9 22889 SC Reproductive Biology; Veterinary Sciences 22890 GA 202PY 22891 UT ISI:000248916700031 22892 ER 22893 22894 PT J 22895 AU Veerkamp, RF 22896 Beerda, B 22897 AF Veerkamp, R. F. 22898 Beerda, B. 22899 TI Genetics and genomics to improve fertility in high producing dairy cows 22900 SO THERIOGENOLOGY 22901 LA English 22902 DT Article 22903 DE genetic selection; fertility; high milk yield; genomic selection; dairy 22904 cows 22905 ID BODY CONDITION SCORE; QUANTITATIVE TRAIT LOCI; LINEAR TYPE TRAITS; 22906 MILK-PRODUCTION; ENERGY-BALANCE; RANDOM REGRESSION; HERD ENVIRONMENT; 22907 CALVING INTERVAL; HOLSTEIN CATTLE; LUTEAL ACTIVITY 22908 AB Improving dairy cow fertility by means of genetic selection is likely 22909 to become increasingly important, since it is now well established that 22910 declining fertility cannot only be arrested by improved management. 22911 Profit margins per kg milk produced are decreasing, therefore farmers 22912 need to reduce cost and increase herd size. This restricts the labor 22913 input per cow and the disposable cost of getting a cow pregnant, whilst 22914 at the same time hormone treatments have become less acceptable. This 22915 makes it unlikely that additional management interventions will 22916 maintain fertility at acceptable levels in the near future. Genetic 22917 improvement seems the obvious solution. Effective selection tools are 22918 available in most Western countries using traditional breeding value 22919 estimation procedures. Also, in addition to gene assisted selection 22920 using individual genes or QTL, high throughput Single Nucleotide 22921 Polymorphism (SNP) technology allows genetic improvement of fertility 22922 based on information from the whole genome (tens of thousands SNP per 22923 animal), i.e. genomic selection. Simulation studies have shown that 22924 genomic selection improves the accuracy of selecting juvenile animals 22925 compared with traditional breeding methods and compared with selection 22926 using information from a few genes or QTL only. Research in the areas 22927 genomics and proteomics promise to make genetic selection even more 22928 effective. The genomic and proteomics technologies combined with the 22929 bioinformatics tools that support the interpretation of gene 22930 functioning and protein expression facilitate an exciting starting 22931 point for the development of new management strategies and tools for 22932 the improvement of reproductive performance. (c) 2007 Elsevier Inc. All 22933 rights reserved. 22934 C1 Wageningen UR, ASG, Anim Breeding & Genom Ctr, NL-8200 AB Lelystad, Netherlands. 22935 RP Veerkamp, RF, Wageningen UR, ASG, Anim Breeding & Genom Ctr, POB 65, 22936 NL-8200 AB Lelystad, Netherlands. 22937 EM Roel.Veerkamp@wur.nl 22938 CR ANDERSENRANBERG IM, 2005, J DAIRY SCI, V88, P348 22939 ASHWELL MS, 2004, J DAIRY SCI, V87, P468 22940 BANOS G, 2004, ANIM SCI 1, V79, P1 22941 BANOS G, 2004, J DAIRY SCI, V87, P2669 22942 BAUERSACHS S, 2003, BIOL REPROD, V68, P1170 22943 BAUERSACHS S, 2004, J MOL ENDOCRINOL, V32, P449 22944 BAUERSACHS S, 2005, J MOL ENDOCRINOL, V34, P889 22945 BEERDA B, 2006, 8 WORLD C GEN APPL L 22946 BERRY DP, 2003, J DAIRY SCI, V86, P3704 22947 BOICHARD D, 2003, GENET SEL EVOL, V35, P77 22948 BONSDORFF T, 2003, ANIM GENET, V34, P325 22949 CASEY OM, 2005, THERIOGENOLOGY, V64, P1963 22950 CASTILLOJUAREZ H, 2000, J DAIRY SCI, V83, P807 22951 COFFEY MP, 2003, J DAIRY SCI, V86, P2205 22952 DALBIESTRAN R, 2003, BIOL REPROD, V68, P252 22953 DALZOTTO R, 2005, ITAL J ANIM SCI S3, V4, P30 22954 DARWASH AO, 1997, J DAIRY SCI, V80, P1227 22955 DAVIDSON EH, 2006, SCIENCE, V311, P796 22956 DAWSON KA, 2006, ANIM REPROD SCI, V96, P312 22957 DECHOW CD, 2004, J DAIRY SCI, V87, P3534 22958 DEVRIES MJ, 2000, J DAIRY SCI, V83, P62 22959 DILLON P, 2006, LIVEST SCI, V99, P141 22960 ELHALAWANY N, 2004, REPROD FERT DEVELOP, V16, P753 22961 FLINT APF, 2006, CATTLE PRACT 1, V14, P29 22962 FOWDEN AL, 2006, HORM RES S3, V65, P50 22963 GUTIERREZ CG, 2006, ANIM REPROD SCI, V95, P193 22964 HAILEMARIAM M, 2003, ANIM SCI 1, V76, P35 22965 HASTINGS N, 2006, ANIM GENET, V37, P583 22966 HERATH CB, 2004, BIOCHEM BIOPH RES CO, V313, P666 22967 HOLMBERG M, 2006, J DAIRY SCI, V89, P3664 22968 ISHIWATA H, 2003, MOL REPROD DEV, V65, P9 22969 JAMROZIK J, 2005, J DAIRY SCI, V88, P2199 22970 KAPPES SM, 2000, J ANIM SCI, V78, P3053 22971 KEARNEY JF, 2004, J DAIRY SCI, V87, P501 22972 KHATKAR MS, 2004, GENET SEL EVOL, V36, P163 22973 KLEIN C, 2006, BIOL REPROD, V74, P253 22974 LASSEN J, 2003, J DAIRY SCI, V86, P4123 22975 LIEFERS SC, 2005, DOMEST ANIM ENDOCRIN, V29, P227 22976 LIEN S, 2000, MAMM GENOME, V11, P877 22977 MASSICOTTE L, 2006, PROTEOMICS, V6, P3811 22978 MAYER W, 2000, NATURE, V403, P501 22979 MEUWISSEN THE, 2001, GENETICS, V157, P1819 22980 MEUWISSEN THE, 2002, GENETICS, V161, P373 22981 MIGLIOR F, 2005, J DAIRY SCI, V88, P1255 22982 MOORE T, 2001, REPRODUCTION, V122, P185 22983 MUNCIE SA, 2006, ANIM GENET, V37, P273 22984 OLORI VE, 2002, J DAIRY SCI, V85, P689 22985 OLTENACU PA, 2005, AMBIO, V34, P311 22986 PETERSSON KJ, 2007, J DAIRY SCI, V90, P427 22987 PHILIPSSON J, 2003, LIVEST PROD SCI, V83, P99 22988 PRYCE JE, 2001, BSAS OCCASIONAL PUBL, V26, P237 22989 PRYCE JE, 2001, J DAIRY SCI, V84, P1508 22990 PRYCE JE, 2002, J DAIRY SCI, V85, P1590 22991 PRYCE JE, 2006, J DAIRY SCI, V89, P4424 22992 RON M, 2004, J DAIRY SCI, V87, P476 22993 ROYAL MD, 2002, J DAIRY SCI, V85, P3071 22994 ROYAL MD, 2002, J DAIRY SCI, V85, P958 22995 RYDHMER L, 2006, 8 WORLD C GEN APPL L 22996 SCHAEFFER LR, 2006, J ANIM BREED GENET, V123, P218 22997 SCHNABEL RD, 2005, ANIM GENET, V36, P408 22998 SCHNEIDER F, 2006, THERIOGENOLOGY, V66, P691 22999 SCHROOTEN C, 2004, J DAIRY SCI, V87, P3550 23000 SHOOK GE, 2006, J DAIRY SCI, V89, P1349 23001 SIRARD MA, 2005, REPROD FERT DEVELOP, V17, P47 23002 VALLEE M, 2005, BIOL REPROD, V73, P63 23003 VANDERLENDE T, 2004, J DAIRY SCI, V87, P3953 23004 VANRADEN PM, 2004, J DAIRY SCI, V87, P2285 23005 VEERKAMP RF, 1997, ANIM SCI 3, V64, P385 23006 VEERKAMP RF, 1997, EU WORKSH 23007 VEERKAMP RF, 1998, J DAIRY SCI, V81, P1109 23008 VEERKAMP RF, 2000, J DAIRY SCI, V83, P577 23009 VEERKAMP RF, 2001, J DAIRY SCI, V84, P2327 23010 VEERKAMP RF, 2003, LIVEST PROD SCI, V83, P257 23011 WALL E, 2005, CATTLE PRACT 1, V13, P19 23012 WEIGEL KA, 2006, ANIM REPROD SCI, V96, P323 23013 WELLER JI, UNPUB 23014 WINDIG JJ, 2005, J DAIRY SCI, V88, P335 23015 WINDIG JJ, 2006, J DAIRY SCI, V89, P1765 23016 WOLF E, 2006, ZUCHTUNGSKUNDE, V78, P428 23017 NR 79 23018 TC 0 23019 PU ELSEVIER SCIENCE INC 23020 PI NEW YORK 23021 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 23022 SN 0093-691X 23023 J9 THERIOGENOLOGY 23024 JI Theriogenology 23025 PD SEP 1 23026 PY 2007 23027 VL 68 23028 SU Suppl. 1 23029 BP S266 23030 EP S273 23031 PG 8 23032 SC Reproductive Biology; Veterinary Sciences 23033 GA 202PY 23034 UT ISI:000248916700032 23035 ER 23036 23037 PT J 23038 AU Grummer, RR 23039 AF Grummer, R. R. 23040 TI Strategies to improve fertility of high yielding dairy farms: 23041 Management of the dry period 23042 SO THERIOGENOLOGY 23043 LA English 23044 DT Article 23045 DE fertility; dry period; management; energy balance; dairy cattle 23046 ID CONJUGATED LINOLEIC-ACID; TRANSITION PERIOD; ENERGY-BALANCE; 23047 REPRODUCTIVE-PERFORMANCE; PRODUCTION RESPONSES; EARLY LACTATION; COWS; 23048 POSTPARTUM; CATTLE; FEED 23049 AB Reproductive performance of dairy cattle has been related to a wide 23050 variety of indicators of energy status, e.g., extent of negative energy 23051 balance, time of energy balance nadir, body weight loss, body condition 23052 score, and body condition score loss. Energy balance begins to decrease 23053 during the last few weeks prior to calving primarily due to a 30-35% 23054 reduction in feed intake. Cows typically remain in negative energy 23055 balance for five to seven weeks postpartum. Nutritional strategies to 23056 improve energy balance during the transition period include fat 23057 supplementation and feeding additional nonfiber carbohydrate. 23058 Unfortunately, neither approach is likely to markedly enhance energy 23059 status, although fat supplementation may increase reproductive 23060 efficiency independent of any effect on energy balance. Alternative 23061 management strategies may be required to improve fertility of dairy 23062 cows. Shortening or eliminating the dry period may improve energy 23063 status of dairy cows and increase reproductive efficiency. Shortening 23064 or eliminating the dry period may enhance dry matter intake during the 23065 transition period, decrease milk energy output, or both. A preliminary 23066 study using small animal numbers indicated that reducing dry period 23067 length to 28 or 0 days may decreases days to first ovulation, increase 23068 first service conception rate, and decrease days open. A follow-up 23069 study employing large animal numbers confirmed that reducing dry period 23070 length from 55 to 34 days can decrease days to first ovulation and 23071 decrease the percentage of anovular cows. The reduction in days open 23072 was greater for older cows than second parity cows. The reduction in 23073 days open was not related to effects of treatment on milk yield. 23074 Shortening or eliminating the dry period may be a more successful 23075 approach to improving reproductive efficiency than diet manipulation. 23076 (c) 2007 Published by Elsevier Inc. 23077 C1 Univ Wisconsin, Dept Dairy Sci, Madison, WI 53706 USA. 23078 RP Grummer, RR, Univ Wisconsin, Dept Dairy Sci, 1675 Observ Dr, Madison, 23079 WI 53706 USA. 23080 EM rgrummer@wisc.edu 23081 CR *NAT RES COUNC, 2001, NUTR REQ DAIR CATTL 23082 BERNALSANTOS G, 2003, J DAIRY SCI, V86, P3218 23083 BUTLER WR, 2003, LIVEST PROD SCI, V83, P211 23084 BUTLER WR, 2005, CATTLE PRACT 1, V13, P13 23085 CASTANEDAGUTIERREZ E, 2005, J DAIRY SCI, V88, P1078 23086 CHILLIARD Y, 1993, J DAIRY SCI, V76, P3897 23087 FLIPOT PM, 1988, J DAIRY SCI, V71, P1840 23088 FRAJBLAT M, 2003, J DAIRY SCI, V86, P119 23089 GRANT RJ, 1995, J ANIM SCI, V73, P2791 23090 GRUMMER RR, IN PRESS VET J 23091 GRUMMER RR, 2003, PROF ANIM SCI, V19, P197 23092 GRUMMER RR, 2004, MANAGING TRANSITION, P447 23093 GUMEN A, 2005, J DAIRY SCI, V88, P2401 23094 HAYIRLI A, 2002, J DAIRY SCI, V85, P3430 23095 KEADY TWJ, 2001, J DAIRY SCI, V84, P1468 23096 KRUIP TAM, 1998, REPROD DOMEST ANIM, V33, P165 23097 KULICK AE, 2006, J DAIRY SCI S1, V89, P266 23098 MATTOS R, 2000, REV REPROD, V5, P38 23099 MATTOS R, 2002, J DAIRY SCI, V85, P755 23100 MCNAMARA S, 2003, LIVEST PROD SCI, V84, P195 23101 MOORE CE, 2004, J DAIRY SCI, V87, P1886 23102 PUSHPAKUMARA PGA, 2003, THERIOGENOLOGY, V60, P1165 23103 RASTANI RR, 2005, J DAIRY SCI S1, V88, P286 23104 RASTANI RR, 2005, J DAIRY SCI, V88, P1004 23105 ROCHE JR, 2007, J DAIRY SCI, V90, P376 23106 STAPLES CR, 2006, RECENT ADV ANIMAL NU, P229 23107 WATTERS RD, 2006, J DAIRYS SCI S1, V89, P288 23108 WHITAKER DA, 1993, VET REC, V133, P61 23109 NR 28 23110 TC 0 23111 PU ELSEVIER SCIENCE INC 23112 PI NEW YORK 23113 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 23114 SN 0093-691X 23115 J9 THERIOGENOLOGY 23116 JI Theriogenology 23117 PD SEP 1 23118 PY 2007 23119 VL 68 23120 SU Suppl. 1 23121 BP S281 23122 EP S288 23123 PG 8 23124 SC Reproductive Biology; Veterinary Sciences 23125 GA 202PY 23126 UT ISI:000248916700034 23127 ER 23128 23129 PT J 23130 AU Laperche, A 23131 Brancourt-Hulmel, M 23132 Heumez, E 23133 Gardet, O 23134 Hanocq, E 23135 Devienne-Barret, F 23136 Le Gouis, J 23137 AF Laperche, Anne 23138 Brancourt-Hulmel, Maryse 23139 Heumez, Emmanuel 23140 Gardet, Olivier 23141 Hanocq, Eric 23142 Devienne-Barret, Florence 23143 Le Gouis, Jacques 23144 TI Using genotype x nitrogen interaction variables to evaluate the QTL 23145 involved in wheat tolerance to nitrogen constraints 23146 SO THEORETICAL AND APPLIED GENETICS 23147 LA English 23148 DT Article 23149 ID QUANTITATIVE TRAIT LOCI; FUSARIUM HEAD BLIGHT; GRAIN PROTEIN-CONTENT; 23150 TRITICUM-AESTIVUM L.; WINTER-WHEAT; USE EFFICIENCY; ENVIRONMENT 23151 INTERACTION; HEXAPLOID WHEAT; BREAD WHEAT; GENETIC-ANALYSIS 23152 AB Lower market prices and environmental concerns now orientate wheat ( 23153 Triticum aestivum L.) breeding programs towards low input agricultural 23154 practices, and more particularly low nitrogen (N) input management. 23155 Such programs require knowledge of the genetic determination of plant 23156 reaction to N deficiency. Our aim was to characterize the genetic basis 23157 of N use efficiency and genotype x N interactions. The detection of QTL 23158 for grain yield, grain protein yield and their components was performed 23159 on a mapping population of 222 doubled haploid lines (DH), obtained 23160 from the cross between an N stress tolerant variety and an N stress 23161 sensitive variety. Experiments on the population were carried out in 23162 seven different environments, and in each case under high (N+) and low 23163 (N-) N supplies. 23164 In total, 233 QTL were detected for traits measured in each combination 23165 of environment and N supply, for "global'' interaction variables (N+-N- 23166 and N-/N+), for sensitivity to N stress and for performance under 23167 N-limited conditions which were assessed using factorial regression 23168 parameters. The 233 QTL were detected on the whole genome and clustered 23169 into 82 genome regions. The dwarfing gene (Rht-B1), the photoperiod 23170 sensitivity gene (Ppd-D1) and the awns inhibitor gene (B1) coincided 23171 with regions that contained the highest numbers of QTL. Non-interactive 23172 QTL were detected on linkage groups 3D, 4B, 5A1 and 7B2. Interactive 23173 QTL were revealed by interaction or factorial regression variables 23174 (2D2, 3D, 5A1, 5D, 6A, 6B, 7B2) or by both variables (1B, 2A1, 2A2, 23175 2D1, 4B, 5A2, 5B). The usefulness of QTL meta-analysis and factorial 23176 regression to study QTL x N interactions and the impact of Rht-B1, 23177 Ppd-D1 and B1, are discussed. 23178 C1 INRA, UMR, F-35653 Le Rheu, France. 23179 USTL, INRA, UMR, F-80203 Peronne, France. 23180 INRA, F-91190 Gif Sur Yvette, France. 23181 INRA, UMR, INAPG, Unite Environm & Grandes Cultures, F-78850 Thiverval Grignon, France. 23182 RP Laperche, A, INRA, UMR, Domaine Motte,Agrocampus Rennes 118 23183 APBV,BP35327, F-35653 Le Rheu, France. 23184 EM Laperche@agrocampus-rennes.fr 23185 CR AGRAMA HAS, 1999, MOL BREEDING, V5, P187 23186 ARCADE A, 2004, BIOINFORMATICS, V20, P2324 23187 BASTEN CJ, 1994, QUEL J, V22, P65 23188 BASTEN CJ, 2002, QTL CARTOGRAPHER VER 23189 BERTIN P, 2001, MAYDICA, V46, P53 23190 BOISSON M, 2005, THEOR APPL GENET, V110, P932 23191 BORNER A, 2002, THEOR APPL GENET, V105, P921 23192 BRANCOURTHULMEL M, 2001, THEOR APPL GENET, V103, P371 23193 BRANCOURTHULMEL M, 2005, CROP SCI, V45, P1427 23194 CAMPBELL BT, 2003, CROP SCI, V43, P1493 23195 CAMPBELL BT, 2004, CROP SCI, V44, P620 23196 CHARMET G, 2005, THEOR APPL GENET, V111, P540 23197 CHURCHILL GA, 1994, GENETICS, V138, P963 23198 CROSSA J, 1999, THEOR APPL GENET, V99, P611 23199 DENIS JB, 1988, STATISTICS, V19, P123 23200 DHUGGA KS, 1989, CROP SCI, V29, P1232 23201 ELLIS H, 1902, STUDIES PSYCHOL SEX, V1, P1 23202 EMEBIRI LC, 2005, IN PRESS FIELD CROPS 23203 FANG P, 2001, PLANT SOIL, V236, P237 23204 FELIX I, 2002, PESPECT AGR, V279, P30 23205 FELIX I, 2003, PERSP AGR, V290, P22 23206 FINLAY KW, 1963, AUST J AGR RES, V14, P742 23207 GALLAIS A, 2004, J EXP BOT, V55, P295 23208 GOFFINET B, 2000, GENETICS, V155, P463 23209 GROOS C, 2003, THEOR APPL GENET, V106, P1032 23210 GUILLAUMIE S, 2004, GENOME, V47, P705 23211 HABASH DZ, 2007, THEOR APPL GENET, V114, P403 23212 HANOCQ E, 2004, THEOR APPL GENET, V110, P106 23213 HIREL B, 2001, PLANT PHYSIOL, V125, P1258 23214 JUSTES E, 1994, ANN BOT-LONDON, V74, P397 23215 KJAER B, 1995, HEREDITAS, V123, P109 23216 LAPERCHE A, 2006, THEOR APPL GENET, V112, P797 23217 LAPERCHE A, 2006, THEOR APPL GENET, V113, P1131 23218 LEFLON M, 2005, J CROP IMP, V14, P249 23219 LEGOUIS J, 1996, EUPHYTICA, V92, P221 23220 LEGOUIS J, 1998, FONCTIONNEMENT PEUPL, V93, P531 23221 LEGOUIS J, 2000, EUR J AGRON, V12, P163 23222 LEWICKI S, 1992, AGRONOMIE, V12, P235 23223 LIAN XM, 2005, THEOR APPL GENET, V112, P85 23224 LIU SX, 2003, GENOME, V46, P817 23225 LOUDET O, 2003, PLANT PHYSIOL, V131, P345 23226 MALLARD S, 2005, THEOR APPL GENET, V110, P1401 23227 MALOSETTI M, 2004, EUPHYTICA, V137, P139 23228 MARDI M, 2005, PLANT BREEDING, V124, P329 23229 MICKELSON S, 2003, J EXP BOT, V54, P801 23230 MIRALLES DJ, 1998, FIELD CROP RES, V59, P21 23231 MOTZO R, 2002, AUST J AGR RES, V53, P1285 23232 PERRETANT MR, 2000, THEOR APPL GENET, V100, P1167 23233 PRASAD M, 2003, THEOR APPL GENET, V106, P659 23234 QUARRIE SA, 2005, THEOR APPL GENET, V110, P865 23235 RAUGH BL, 2002, THEOR APPL GENET, V104, P743 23236 REBETZKE GJ, 2000, AUST J AGR RES, V51, P235 23237 VANEEUWIJK FA, 1995, EUPHYTICA, V84, P1 23238 VERMA V, 2004, EUPHYTICA, V135, P255 23239 WORLAND AJ, 1996, EUPHYTICA, V89, P49 23240 YADAV RS, 2003, THEOR APPL GENET, V106, P512 23241 YAN JQ, 1999, CROP SCI, V39, P538 23242 YANG ZP, 2005, GENOME, V48, P187 23243 NR 58 23244 TC 0 23245 PU SPRINGER 23246 PI NEW YORK 23247 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 23248 SN 0040-5752 23249 J9 THEOR APPL GENET 23250 JI Theor. Appl. Genet. 23251 PD AUG 23252 PY 2007 23253 VL 115 23254 IS 3 23255 BP 399 23256 EP 415 23257 PG 17 23258 SC Agronomy; Plant Sciences; Genetics & Heredity; Horticulture 23259 GA 191NI 23260 UT ISI:000248137500011 23261 ER 23262 23263 PT J 23264 AU Kaplan, S 23265 Araz, C 23266 Goktepe, O 23267 AF Kaplan, Sibel 23268 Araz, Ceyhun 23269 Goktepe, Ozer 23270 TI A multicriteria decision aid approach on navel selection problem for 23271 rotor spinning 23272 SO TEXTILE RESEARCH JOURNAL 23273 LA English 23274 DT Article 23275 DE multicriteria decision making; navel; rotor yarn; denim fabric 23276 ID ELECTRE III; SPUN YARNS; MANAGEMENT; PROMETHEE 23277 AB In studies about optimization of rotor spinning machine parameters, 23278 generally classical statistical methods have been used; the priorities 23279 and preferences of the yarn producer about yarn properties to get the 23280 desired end product characteristics have not been taken into 23281 consideration. However, machine part selection from possible 23282 alternatives with different properties and performance levels about 23283 yarn quality is a difficult task and inherently a multicriteria 23284 decision-making problem. In this study, it is proved that application 23285 of a multicriteria decision aid method, ELECTRE III, can provide 23286 valuable assistance in reaching acceptable solutions in order to select 23287 the appropriate navel for Ne 12 rotor yarn spun to weave denim fabric. 23288 In experimental part of the study, Ne 12 rotor yarns were spun by using 23289 ten navels having different technical properties and their quality 23290 parameters were analysed with ELECTRE III. 23291 C1 Dokuz Eylul Univ, Dept Text Engn, Izmir, Turkey. 23292 Dokuz Eylul Univ, Dept Ind Engn, Izmir, Turkey. 23293 Suleyman Demirel Univ, Dept Text Engn, Isparta, Turkey. 23294 RP Kaplan, S, Dokuz Eylul Univ, Dept Text Engn, Izmir, Turkey. 23295 EM sibel.kaplan@deu.edu.tr 23296 CR BARELLA A, 1976, J TEXT I, V67, P421 23297 BARELLA A, 1977, TEXT RES J, P389 23298 BARELLA A, 1978, J TEXT I, V11, P342 23299 BARELLA A, 1980, J TEXT I, V4, P195 23300 BRANS JP, 1986, EUR J OPER RES, V24, P228 23301 COPELAND AD, 1999, TEKSTIL MARATON, V6, P38 23302 DEUSSEN H, 1993, ROTOR SPINNING TECHN, P61 23303 DURU PN, 2002, TEKSTIL MARATON, V2, P39 23304 GEORGOPOULOU E, 1997, EUR J OPER RES, V103, P38 23305 HERGETH H, 1999, TEKSTIL MARATON, V1, P34 23306 HOKKANEN J, 1997, EUR J OPER RES, V98, P19 23307 KADOGLU H, 1995, TEKSTIL KONFEKSIYON, V3, P220 23308 KAPLAN S, 2003, THESIS SULEYMAN DEMI 23309 KAPLAN S, 2004, TEKSTIL TEKNIK, P176 23310 KAPLAN S, 2006, FIBRES TEXT EAST EUR, V14, P59 23311 KARAGIANNIDIS A, 1997, EUR J OPER RES, V97, P439 23312 KLEIN W, 1993, NEW SPINNING SYSTEMS, V5 23313 KONG LX, 1996, TEXT RES J, V66, P30 23314 MACHARIS C, 2004, EUR J OPER RES, V153, P307 23315 MANICH A, 1986, TRJ MAR, P207 23316 MARINO PN, 1984, J TEXT I, P23 23317 MARINO PN, 1985, J TEXT I, V2, P86 23318 PALAMUTCU S, 2003, THESIS EGE U ZMIR TU 23319 ROGERS M, 2000, J TRANSP ENG-ASCE, V126, P313 23320 ROY B, 1991, THEOR DECIS, V31, P49 23321 SAATY TL, 1980, ANAL HIERARCHY PROCE 23322 SALHOTRA KR, 1986, J TEXT I, V2, P128 23323 SIMPSON J, 1979, TEXT RES J, P506 23324 VIGO JP, 1981, TEXT RES J, P34 23325 VILA F, 1982, J TEXT I, V2, P55 23326 NR 30 23327 TC 0 23328 PU SAGE PUBLICATIONS LTD 23329 PI LONDON 23330 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 23331 SN 0040-5175 23332 J9 TEXT RES J 23333 JI Text. Res. J. 23334 PD DEC 23335 PY 2006 23336 VL 76 23337 IS 12 23338 BP 896 23339 EP 904 23340 PG 9 23341 SC Materials Science, Textiles 23342 GA 190CR 23343 UT ISI:000248036100003 23344 ER 23345 23346 PT J 23347 AU Enzendorfer, CK 23348 AF Enzendorfer, C. K. 23349 TI Managing sand production-the key to improved gas-well deliverability 23350 and extended field life 23351 SO SPE DRILLING & COMPLETION 23352 LA English 23353 DT Article 23354 AB This paper deals with a case study of a high-rate sour-gas field in 23355 Pakistan. The paradigm shift from sand control to sand management 23356 boosted production rates by more than 100%. At the same time, higher 23357 wellhead pressures and less drawdown will extend field life and 23358 ultimate recovery. Major investments such as wellhead or field 23359 front-end compression could be delayed and, thereby, appreciable cost 23360 savings could be generated. 23361 After initial well test results, it was concluded that all wells in the 23362 Miano gas field will need gravel-pack installations to protect 23363 completion and surface equipment. Only after 2 years of production at 23364 high rates in excess of 50 MMscf/D was it found that the installed 23365 gravel packs reduce flow rates severely. The paper will demonstrate 23366 how, through reinterpretation of data that formed the basis for the 23367 previous decision to gravel pack the wells and a thorough evaluation of 23368 sand-production potential and risks, a successful sand-management 23369 strategy was deployed. Existing gravel packs were perforated, and later 23370 production wells have been completed without gravel packs beforehand. 23371 Rigorous monitoring of surface equipment by means of erosion probes, 23372 ultrasonic wall-thickness measurements, and choke-performance charts 23373 has been introduced to ensure safe production operations. 23374 EM christian.enzendorfer@omv.com 23375 CR BALGOBIN CJ, 2005, SPE LAT AM CAR PETR 23376 FADILLAH PM, 2004, IADC SPE AS PAC DRIL 23377 MATHIS SP, 2003, SPE EUR FORM DAM C H 23378 MCPHEE CA, 2000, SPE AS PAC OIL GAS C 23379 MCPHEE CA, 2004, SPE INT S EXH FORM D 23380 TERZIEV I, 2004, SPE AS PAC OIL GAS C 23381 TRONVOLL J, 2001, SPE ANN TECHN C EXH 23382 NR 7 23383 TC 0 23384 PU SOC PETROLEUM ENG 23385 PI RICHARDSON 23386 PA 222 PALISADES CREEK DR,, RICHARDSON, TX 75080 USA 23387 SN 1064-6671 23388 J9 SPE DRILL COMPLETION 23389 JI SPE Drill. Complet. 23390 PD JUN 23391 PY 2007 23392 VL 22 23393 IS 2 23394 BP 165 23395 EP 173 23396 PG 9 23397 SC Engineering, Petroleum 23398 GA 185KN 23399 UT ISI:000247710000013 23400 ER 23401 23402 PT J 23403 AU Li, JC 23404 Hussain, T 23405 Hitko, DA 23406 Royter, Y 23407 Fields, CH 23408 Milosavljevic, I 23409 Thomas, S 23410 Rajavel, RD 23411 Asbeck, PM 23412 Sokolich, M 23413 AF Li, James Chingwei 23414 Hussain, Tahir 23415 Hitko, Donald A. 23416 Royter, Yakov 23417 Fields, Charles H. 23418 Milosavljevic, Ivan 23419 Thomas, Stephen, III 23420 Rajavel, Rajesh D. 23421 Asbeck, Peter M. 23422 Sokolich, Marko 23423 TI Reduced temperature S-parameter measurements of 400+GHz sub-micron InP 23424 DHBTs 23425 SO SOLID-STATE ELECTRONICS 23426 LA English 23427 DT Article 23428 DE HBT; InP compounds; S-parameters; temperature; MBE 23429 ID NONEQUILIBRIUM ELECTRON-TRANSPORT; INP/INGAAS SHBTS; HBTS/; F(T); GHZ 23430 AB The high operating power density and aggressively scaled geometries 23431 associated with 400+ GHz InP-Based DHBTs present a new challenge in 23432 device design and thermal management. In order to assess the effects of 23433 self-heating on the RF performance, S-parameters of six InP DHBTs with 23434 varying emitter dimensions were measured over a 75 degrees C ambient 23435 temperature range. An 8-10% increase in peak f(T) is observed as the 23436 temperature is reduced. Data analysis indicates that reductions in the 23437 base and collector transit times and the base-emitter charging times 23438 are responsible for the peak f(T) improvement. The calculated electron 23439 velocities exceed 6 x 10(7) cm/s, indicating velocity overshoot plays a 23440 critical role in the reduction of the transit times. When emitter 23441 scaling are considered, the total transit time variation is directly 23442 correlated to the rise injunction temperature. Using previously 23443 measured thermal resistance values, a 77-116 degrees C minimum junction 23444 temperature rise is estimated from self-heating. Therefore, the 8-10% 23445 increase in peak f(T) is a reasonable estimate of the performance to be 23446 recovered by minimizing self-heating. Improved intra-device thermal 23447 management through device design is an important supplement to geometry 23448 scaling as a means to enhance device performance. (c) 2007 Elsevier 23449 Ltd. All rights reserved. 23450 C1 HRL Labs LLC, Microelect Lab, Malibu, CA USA. 23451 Univ Calif San Diego, ECE Dept, High Speed Devices Grp, La Jolla, CA 92093 USA. 23452 Boeing Co, El Segundo, CA USA. 23453 RP Li, JC, HRL Labs LLC, Microelect Lab, Malibu, CA USA. 23454 EM jamescli@alum.mit.edu 23455 CR CHAU HF, 1995, P 7 INT C INP REL MA, P640 23456 DAWSON DE, 1992, IEEE T ELECTRON DEV, V39, P2235 23457 FIELDS CH, 2002, IPRM, P79 23458 GRIFFITH Z, 2004, IEEE ELECTR DEVICE L, V25, P250 23459 HAFEZ W, 2003, ELECTRON LETT, V39, P1475 23460 HAFEZ W, 2004, ELECTRON LETT, V40, P1151 23461 HUSSAIN T, 2004, IEDM 23462 ISHIBASHI T, 2001, IEEE T ELECTRON DEV, V48, P2595 23463 KURISHIMA K, 1994, IEEE T ELECTRON DEV, V41, P1319 23464 LEVINSHTEIN M, 1999, HDB SERIES SEMICONDU, V2 23465 LI JC, 2003, P INT COMP SEM S, P138 23466 LI JC, 2005, CSIC S, P65 23467 LIU W, 1998, HDB 3 5 HETEROJUNCTI 23468 NAKAJIMA H, 1993, IEEE T ELECTRON DEV, V40, P1950 23469 PELKE DR, 1992, IEEE T MICROW THEORY, V40, P2367 23470 RODWELL MJW, 2001, IEEE T ELECTRON DEV, V48, P2606 23471 SNODGRASS W, 2006, IEEE ELECTR DEVICE L, V27, P84 23472 SPIEGEL SJ, 1995, IEEE T ELECTRON DEV, V42, P1059 23473 THOMAS S, 2001, IEEE T DEVICE MAT RE, V1, P185 23474 TIWARI S, 1990, IEDM, P435 23475 VANWIJNEN PJ, 1995, CHARACTERIZATION OPT 23476 WILLIAMS DF, 1991, 38 ARFTG C DEC, P68 23477 ZAMPARDI PJ, 1997, THESIS UCLA 23478 NR 23 23479 TC 0 23480 PU PERGAMON-ELSEVIER SCIENCE LTD 23481 PI OXFORD 23482 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 23483 SN 0038-1101 23484 J9 SOLID STATE ELECTRON 23485 JI Solid-State Electron. 23486 PD JUN 23487 PY 2007 23488 VL 51 23489 IS 6 23490 BP 870 23491 EP 881 23492 PG 12 23493 SC Engineering, Electrical & Electronic; Physics, Applied; Physics, 23494 Condensed Matter 23495 GA 192AS 23496 UT ISI:000248173700009 23497 ER 23498 23499 PT J 23500 AU Causarano, HJ 23501 Shaw, JN 23502 Franzluebbers, AJ 23503 Reeves, DW 23504 Raper, RL 23505 Balkcom, KS 23506 Norfleet, ML 23507 Izaurralde, RC 23508 AF Causarano, Hector J. 23509 Shaw, Joey N. 23510 Franzluebbers, Alan J. 23511 Reeves, D. Wayne 23512 Raper, Randy L. 23513 Balkcom, Kipling S. 23514 Norfleet, M. Lee 23515 Izaurralde, R. Cesar 23516 TI Simulating field-scale soil organic carbon dynamics using EPIC 23517 SO SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 23518 LA English 23519 DT Article 23520 ID RADIATION USE EFFICIENCY; LONG-TERM EXPERIMENTS; SENSITIVITY ANALYSIS; 23521 MODEL CALIBRATION; UNCERTAINTY; LANDSCAPE; EROSION; PRODUCTIVITY; 23522 MANAGEMENT 23523 AB Simulation models integrate our knowledge of soil organic C (SOC) 23524 dynamics and are useful tools for evaluating impacts of crop management 23525 on soil C sequestration; yet, they require local calibration. Our 23526 objectives were to calibrate the Environmental Policy Integrated 23527 Climate (EPIC) model, and evaluate its performance for simulating SOC 23528 fractions as affected by soil landscape and management. An automated 23529 parameter optimization procedure was used to calibrate the model for a 23530 site-specific experiment in the Coastal Plain of central Alabama. The 23531 ability of EPIC to predict corn (Zea mays L.) and cotton (Gossypium 23532 hirsutum L.) yields and SOC dynamics on different soil landscape 23533 positions (summit, sideslope, and drainageway) during the initial 23534 period of conservation tillage adoption (5 yr) was evaluated using 23535 regression and mean squared deviations. Simulated yield explained 88% 23536 of measured yield variation, with the greatest disagreement on the 23537 sideslope position and the greatest agreement in the drainageway. 23538 Simulations explained approximately 1, 34, and 40% of the total 23539 variation in microbial biomass C (MBC), particulate organic C (POC), 23540 and total organic C (TOC), respectively. The lowest errors in TOC 23541 simulations (0-20 cm) were found on the sideslope and summit. We 23542 conclude that the automated parameterization was generally successful, 23543 although further work is needed to refine the MBC and POC fractions, 23544 and to improve EPIC predictions of SOC dynamics with depth. Overall, 23545 EPIC was sensitive to spatial differences in C fractions that resulted 23546 from differing soil landscape positions. The model needs additional 23547 refinement for accurate simulations of field-scale SOC dynamics 23548 affected by short-term management decisions. 23549 C1 USDA ARS, Beltsville Agr Res Ctr, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA. 23550 Auburn Univ, Dept Agron & Soils, Auburn, AL 36849 USA. 23551 USDA ARS, Nat Resource Conserv Ctr, Watkinsville, GA 30677 USA. 23552 USDA ARS, Natl Soil Dynam Lab, Auburn, AL 36832 USA. 23553 USDA, NRCS, Temple, TX 76501 USA. 23554 Univ Maryland, Pacific NW Natl Lab, Joint Global Change Res Inst, College Pk, MD 20740 USA. 23555 RP Causarano, HJ, USDA ARS, Beltsville Agr Res Ctr, Hydrol & Remote 23556 Sensing Lab, Bldg 007,Rm 126,10300 Baltimore Blvd, Beltsville, MD 20705 23557 USA. 23558 EM Hector.Causarano@ars.usda.gov 23559 CR *AWIS WEATH SERV, 2005, AL MES WEATH DAT 23560 BEVEN K, 1992, HYDROL PROCESS, V6, P279 23561 BEVEN K, 1993, ADV WATER RESOUR, V16, P41 23562 CAMBARDELLA CA, 1992, SOIL SCI SOC AM J, V56, P777 23563 ECKHARDT K, 2001, J HYDROL, V251, P103 23564 FRANZLUEBBERS AJ, 2000, SOIL BIOL BIOCHEM, V32, P469 23565 GASSMAN PW, 2004, HIST DEV APPL EPIC A 23566 GAUCH HG, 2003, AGRON J, V95, P1442 23567 GUERRA LC, 2004, T ASAE, V47, P2091 23568 HARGREAVES GH, 1985, APPL ENG AGRIC, V1, P96 23569 IZAURRALDE RC, 2006, ECOL MODEL, V192, P362 23570 IZAURRALDE RC, 2007, CLIMATIC CHANGE, V80, P73 23571 JENKINSON DS, 1976, SOIL BIOL BIOCHEM, V8, P209 23572 KELLY RH, 1997, GEODERMA, V81, P75 23573 KILMER VJ, 1949, SOIL SCI, V68, P15 23574 KINIRY JR, 1995, CAN J PLANT SCI, V75, P679 23575 KINIRY JR, 1997, AGRON J, V89, P421 23576 NELSON DW, 1982, AGRONOMY, V9, P539 23577 PARTON WJ, 1987, SOIL SCI SOC AM J, V51, P1173 23578 PARTON WJ, 1994, SSSA SPECIAL PUBLICA, V39, P147 23579 PAUL EA, 1997, SOIL SCI SOC AM J, V61, P1058 23580 PENNOCK DJ, 2001, SOIL TILL RES, V58, P183 23581 POLYAKOV V, 2004, ENVIRON INT, V30, P547 23582 RATTO M, 2001, COMPUT PHYS COMMUN, V136, P212 23583 ROSENBERG NJ, 1999, CARBON SEQUESTRATION 23584 ROSENTHAL WD, 1991, AGRON J, V83, P655 23585 SALTELLI A, 1999, TECHNOMETRICS, V41, P39 23586 SINCLAIR TR, 1999, ADV AGRON, V65, P215 23587 SMITH P, 1997, GEODERMA, V81, P153 23588 TERRA JA, 2004, SOIL SCI, V169, P819 23589 TERRA JA, 2006, SOIL SCI SOC AM J, V70, P98 23590 VORONEY RP, 1984, SOIL BIOL BIOCHEM, V16, P9 23591 WANG X, 2005, T ASAE, V48, P1041 23592 WILLIAMS JR, 1990, PHILOS T ROY SOC B, V329, P421 23593 ZHAI T, 2004, T ASAE, V47, P2109 23594 NR 35 23595 TC 0 23596 PU SOIL SCI SOC AMER 23597 PI MADISON 23598 PA 677 SOUTH SEGOE ROAD, MADISON, WI 53711 USA 23599 SN 0361-5995 23600 J9 SOIL SCI SOC AMER J 23601 JI Soil Sci. Soc. Am. J. 23602 PD JUL-AUG 23603 PY 2007 23604 VL 71 23605 IS 4 23606 BP 1174 23607 EP 1185 23608 PG 12 23609 SC Soil Science 23610 GA 191AW 23611 UT ISI:000248103200011 23612 ER 23613 23614 PT J 23615 AU Li, H 23616 Futch, SH 23617 Syvertsenc, JP 23618 McCoyc, CW 23619 AF Li, Hong 23620 Futch, Stephen H. 23621 Syvertsenc, James P. 23622 McCoyc, Clay W. 23623 TI Time series forecast and soil characteristics-based simple and 23624 multivariate linear models for management of Diaprepes abbreviatus root 23625 weevil in citrus 23626 SO SOIL BIOLOGY & BIOCHEMISTRY 23627 LA English 23628 DT Article 23629 DE citrus root weevil control; Linear model; soil insect relations; time 23630 series analysis 23631 ID NITROGEN USE; PERFORMANCE; COLEOPTERA; WATER 23632 AB Synthesis of insect and soil variable patterns in space and time via 23633 process models would be useful for reducing the cost of field 23634 monitoring and for achieving improved integrated pest management. 23635 During 2001-2003, we monitored the Diaprepes abbreviatus (L.) root 23636 weevil population in a flatwoods citrus grove containing a sandy 23637 Alfisol and a loamy Mollisol in Hendry County, South Florida. Our 23638 objectives were to examine the multi-year correlations of the Diaprepes 23639 root weevil with soil characteristics, and to develop a time series 23640 model and soil variable-based simple and multivariate linear models for 23641 predicting weevil patterns in space and time. Adult weevils were 23642 monitored weekly using 100 Tedders traps arranged in a 30 x 12 in grid. 23643 Gravimetric soil water content (SWC), time-domainreflectory (TDR) 23644 volumetric SWC, soil organic matter content (SOM), clay, sand, silt, 23645 pH, and Mehlich-1 extractable P, K, Ca, Mg, Fe and Mn concentrations 23646 were determined for each trap location. Adult weevil density was 0.023 23647 +/- + 0.018 weevils m(-2) across the 3 years, and the weevil population 23648 grew exponentially (R 2 = 0.81). Each year, the weevil was positively 23649 related to SWC, TDR, clay, SOM, and soil Mg, Ca and K concentrations 23650 (0.32<r<0.65, P<0.05). High weevil density, SWC, SOM, and P, K, Mg and 23651 Ca levels matched the Mollisol boundary. The autocorrelation ranges for 23652 the weevil and soil variables were within the soil type unit. Time 23653 series moving average forecast of Diaprepes weevil development was 23654 related to the 3-year mean weevil density monitored in the field (R2 = 23655 0.88). The SWC, TDR and SOM-based simple and multivariate linear models 23656 explained 45% of the variance in the weevil patterns (P<0.001). Time 23657 series and soil characteri stics- based simple and multivariate linear 23658 models suggest a variable rate and less frequent spray for future 23659 management of the weevil in citrus production systems. (c) 2007 23660 Elsevier Ltd. All rights reserved. 23661 C1 Nova Scotia Agr Coll, Dept Plant & Anim Sci, Truro, NS B2N 5E3, Canada. 23662 China Agr Univ, Dept Soil & Water Sci, Beijing 100094, Peoples R China. 23663 Univ Florida, Ctr Citrus Res & Educ, IFAS, Lake Alfred, FL 33850 USA. 23664 RP Li, H, Nova Scotia Agr Coll, Dept Plant & Anim Sci, POB 550, Truro, NS 23665 B2N 5E3, Canada. 23666 EM hli@nsac.ca 23667 CR *SAS I, 1990, SAS STAT US GUID, V2 23668 *SAS I, 1993, SAS ETS US GUID VERS 23669 *SAS I, 1996, SAS STAT TECHN REP S 23670 *USDA NRCS, 2003, KEYS SOILS TAX 23671 BYERS JA, 2005, J ECON ENTOMOL, V98, P1763 23672 CROWDER DW, 2005, J ECON ENTOMOL, V98, P518 23673 FAY PA, 1996, ECOLOGY, V77, P521 23674 FOX GA, 2004, SOIL SCI SOC AM J, V68, P1326 23675 FUTCH H, 2007, ENV EXPT BOT, V59, P321 23676 GRAHAM JH, 2003, PLANT DIS, V87, P85 23677 HORWITZ W, 2000, OFFICAL METHODS ANAL, V1 23678 KLIRONOMOS JN, 1999, APPL SOIL ECOL, V12, P227 23679 LAPOINTE SL, 2000, ENVIRON ENTOMOL, V29, P150 23680 LI H, 2002, SOIL SCI SOC AM J, V66, P585 23681 LI H, 2004, SOIL SCI, V169, P650 23682 LI H, 2005, P 7 INT C PREC AGR A, P1962 23683 LI H, 2006, AGR ECOSYST ENVIRON, V115, P248 23684 LI H, 2006, SOIL SCI, V171, P138 23685 LI H, 2007, APPL SOIL ECOL, V35, P553 23686 LI H, 2007, IN PRESS PEST MANAGE 23687 LOWER SS, 2003, OECOLOGIA, V136, P402 23688 MATTSON WJ, 1987, BIOSCIENCE, V37, P110 23689 MCCOY CW, 2003, FLA ENTOMOL, V86, P34 23690 MCSORLEY R, 2002, APPL SOIL ECOL, V19, P1 23691 TOBIN PC, 2001, ENVIRON ENTOMOL, V30, P692 23692 VANALPHEN BJ, 2000, SOIL SCI SOC AM J, V64, P1706 23693 WESELOH RM, 2002, ENVIRON ENTOMOL, V31, P1071 23694 WORNER SP, 1991, ENVIRON ENTOMOL, V20, P768 23695 NR 28 23696 TC 0 23697 PU PERGAMON-ELSEVIER SCIENCE LTD 23698 PI OXFORD 23699 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 23700 SN 0038-0717 23701 J9 SOIL BIOL BIOCHEM 23702 JI Soil Biol. Biochem. 23703 PD OCT 23704 PY 2007 23705 VL 39 23706 IS 10 23707 BP 2436 23708 EP 2447 23709 PG 12 23710 SC Soil Science 23711 GA 201HQ 23712 UT ISI:000248822500002 23713 ER 23714 23715 PT J 23716 AU Wade, K 23717 Neuman, K 23718 AF Wade, Kathleen 23719 Neuman, Karen 23720 TI Practice-based research: Changing the professional culture and language 23721 of social work 23722 SO SOCIAL WORK IN HEALTH CARE 23723 LA English 23724 DT Article 23725 DE practice-based research; practice-based evaluation; PBR; social work; 23726 clinical research 23727 ID SINGLE-SUBJECT RESEARCH; ISSUES; METHODOLOGY; PERFORMANCE; MANAGEMENT; 23728 HEALTH; DESIGN 23729 AB Practice-based evaluation integrates research skills and techniques 23730 into the clinical process in order to correlate clinical interventions 23731 with treatment outcomes. Although most clinicians recognize the 23732 importance of some form of practice evaluation, barriers including lack 23733 of time, resources, expertise, and organizational support may deter 23734 such evaluation efforts. However, there are numerous advantages for 23735 clinicians and agencies to develop a culture that values and integrates 23736 practice evaluation into its daily work-life; these include 23737 opportunities for teamwork, collaboration, mentoring; and innovation. 23738 This paper defines practice evaluation research, identifies strategies 23739 for its implementation, and describes a framework for creating a 23740 "research friendly" culture. It further describes the implementation of 23741 such an innovative program in both a hospital and a mental health 23742 agency setting. 23743 C1 Univ Michigan Hlth Syst, Sch Social Work, Dept Social Work, Ann Arbor, MI 48109 USA. 23744 VCU Sch Social Work, No Virginia Program, Alexandria, VA USA. 23745 RP Wade, K, Univ Michigan Hlth Syst, Sch Social Work, Dept Social Work, 23746 Ann Arbor, MI 48109 USA. 23747 EM kmwade@umich.edu 23748 kmneuman@mail1.vcu.edu 23749 CR ALTER C, 1997, J SOC WORK EDUC, V33, P85 23750 BLOOM M, 1999, EVALUATING PRACTICE 23751 BURKE M, 1992, HOSPITALS MAR, P26 23752 CHEETHAM J, 1998, PRACTIONER RES PARTN 23753 CHIN MH, 1997, AM J MANAG C, V3, P756 23754 EPSTEIN I, 2001, SOC WORK HEALTH CARE, V33, P15 23755 FEUER L, 1996, CONTINUING CARE NOV, P11 23756 GOLDSMITH JA, 1994, HARAVARD BUSINESS RE, P104 23757 GOWDY EA, 1993, ADMIN SOC WORK, V17, P3 23758 JAYARATNE S, 1988, J APPLIED BEHAVIORAL, V24, P119 23759 JENNINGS BM, 1995, AACN CLIN ISS, V6, P79 23760 KAZI MAF, 1996, RES SOCIAL WORK PRAC, V6, P5 23761 KIRESUK TJ, 1994, GOAL ATTAINMENT SCAL 23762 KIRSTASHMAN K, 1999, UNDERSTANDING GEN PR 23763 LECROY CW, 1991, J SOCIAL SERVICE RES, V41, P45 23764 LIEBERMAN MA, 1986, AM J ORTHOPSYCHIAT, V56, P435 23765 MARTIN LL, 1997, ADMIN SOC WORK, V21, P17 23766 MATTILA M, 1996, INT J HUM FACTOR MAN, V6, P1 23767 NEUMAN K, IN PRESS SOCIAL WORK 23768 RAPP CA, 1986, ADM SOCIAL WORK S, V10, P53 23769 RUBIN A, 1996, RES SOCIAL WORK PRAC, V6, P40 23770 SALZBERG CL, 1987, REM SPEC EDUC, V8, P43 23771 SCRUGGS TE, 1987, REM SPEC EDUC, V8, P24 23772 THYER BA, 1991, RES SOCIAL WORK PRAC, V1, P76 23773 THYER BA, 1992, RES SOCIAL WORK PRAC, V2, P99 23774 WEBER DO, 1992, HEALTHCARE FORUM JUL, P16 23775 NR 26 23776 TC 0 23777 PU HAWORTH PRESS INC 23778 PI BINGHAMTON 23779 PA 10 ALICE ST, BINGHAMTON, NY 13904-1580 USA 23780 SN 0098-1389 23781 J9 SOC WORK HEALTH CARE 23782 JI Soc. Work Health Care 23783 PY 2007 23784 VL 44 23785 IS 4 23786 BP 49 23787 EP 64 23788 PG 16 23789 SC Social Work 23790 GA 190ZW 23791 UT ISI:000248100500004 23792 ER 23793 23794 PT J 23795 AU Hoekema, A 23796 Stegenga, B 23797 Bakker, M 23798 Brouwer, WH 23799 de Bont, LGM 23800 Wijkstra, PJ 23801 van der Hoeven, JH 23802 AF Hoekema, Aarnoud 23803 Stegenga, Boudewijn 23804 Bakker, Marije 23805 Brouwer, Wiebo H. 23806 de Bont, Lambert G. M. 23807 Wijkstra, Peter J. 23808 van der Hoeven, Johannes H. 23809 TI Simulated driving in obstructive sleep apnoea-hypopnoea; effects of 23810 oral appliances and continuous positive airway pressure 23811 SO SLEEP AND BREATHING 23812 LA English 23813 DT Article 23814 DE sleep apnoea syndromes; automobile driving; orthodontic appliances; 23815 positive-pressure ventilation 23816 ID NASAL CPAP; TRAFFIC ACCIDENTS; HEAD-INJURY; PERFORMANCE; RISK; REDUCTION 23817 AB Impaired simulated driving performance has been demonstrated in 23818 obstructive sleep apnoea-hypopnoea syndrome (OSAHS) patients. Although 23819 continuous positive airway pressure (CPAP) generally improves simulated 23820 driving performance, the effects of oral-appliance (OA) therapy are 23821 unknown. The aims of this study were to determine to what extent OSAHS 23822 patients have more difficulty with a monotonous simulated driving test 23823 when compared with control subjects and to compare the effects of OA 23824 with CPAP therapy. Simulated driving performance was evaluated in 20 23825 OSAHS patients and 16 control subjects during a 25-min driving test. 23826 After randomization, ten patients started OA and CPAP therapy, 23827 respectively. After 2 to 3 months of treatment, patients repeated the 23828 driving test. At baseline, the total number of lapses of attention 23829 during driving was significantly higher in OSAHS patients as compared 23830 with control subjects. As a result of treatment, the total number of 23831 lapses of attention was significantly decreased in both the OA and CPAP 23832 group. When comparing driving performance between the OA and CPAP 23833 group, no significant differences were noted. OSAHS patients perform 23834 worse on a simulated driving test when compared with control subjects. 23835 When evaluating the effects of treatment, adequate OSAHS management 23836 with either OA or CPAP therapy usually resulted in substantial 23837 improvements of simulated driving. Conclusions beyond both treatments 23838 improving simulated driving performance are, however, not justified by 23839 the data in the present study. 23840 C1 Univ Groningen, Univ Med Ctr Groningen, Dept Oral & Maxillofacial Surg, NL-9700 RB Groningen, Netherlands. 23841 Univ Groningen, Univ Med Ctr Groningen, Dept Clin Neuropsychol, NL-9700 RB Groningen, Netherlands. 23842 Univ Groningen, Univ Med Ctr Groningen, Dept Home Mech Ventilat Pulm Dis, NL-9700 RB Groningen, Netherlands. 23843 Univ Groningen, Univ Med Ctr Groningen, Dept Clin Physiol, NL-9700 RB Groningen, Netherlands. 23844 RP Hoekema, A, Univ Groningen, Univ Med Ctr Groningen, Dept Oral & 23845 Maxillofacial Surg, Hanzepl 1,POB 30-001, NL-9700 RB Groningen, 23846 Netherlands. 23847 EM a.hoekema@kchir.umcg.nl 23848 CR *SLEEP DIS ATL TAS, 1992, SLEEP, V15, P173 23849 ALTMAN DG, 1991, PRACTICAL STAT MED R, P74 23850 BAULK SD, 2001, SLEEP, V24, P695 23851 BONNET M, 1993, SLEEP, V16, P748 23852 BROUWER WH, 1989, CORTEX, V25, P219 23853 BROUWER WH, 2002, APPL NEUROPSYCHOL, P223 23854 CASSEL W, 1996, EUR RESPIR J, V9, P2606 23855 FERGUSON KA, 2006, SLEEP, V29, P244 23856 FINDLEY LJ, 1999, SLEEP, V22, P804 23857 FLEMONS WW, 1999, SLEEP, V22, P667 23858 GEORGE CFP, 1996, AM J RESP CRIT CARE, V154, P175 23859 GEORGE CFP, 1997, THORAX, V52, P648 23860 GEORGE CFP, 2001, THORAX, V56, P508 23861 GEORGE CFP, 2003, SLEEP MED REV, V7, P311 23862 GEORGE CFP, 2004, THORAX, V59, P804 23863 HACK M, 2000, THORAX, V55, P224 23864 HANIFFA M, 2004, COCHRANE DB SYST REV, V4 23865 HARALDSSON PO, 1995, ARCH OTOLARYNGOL, V121, P90 23866 HOEKEMA A, 2004, CRIT REV ORAL BIOL M, V15, P137 23867 HOEKEMA A, 2006, RESP MED, V100, P705 23868 JOHNS MW, 1991, SLEEP, V14, P540 23869 JUNIPER M, 2000, EUR RESPIR J, V15, P590 23870 KRIBBS NB, 1993, AM REV RESPIR DIS, V147, P887 23871 MALHOTRA A, 2002, LANCET, V360, P237 23872 ORTH M, 2005, EUR RESPIR J, V26, P898 23873 PANCER J, 1999, CHEST, V116, P1511 23874 RECHTSCHAFFEN A, 1968, NIH PUBLICATION, V204 23875 TERANSANTOS J, 1999, NEW ENGL J MED, V340, P847 23876 TURKINGTON PM, 2001, THORAX, V56, P800 23877 TURKINGTON PM, 2004, THORAX, V59, P56 23878 VANZOMEREN AH, 1988, ARCH PHYS MED REHAB, V69, P90 23879 WITHAAR FK, 2003, Z NEUROPSYCHOLOGIE, V14, P203 23880 NR 32 23881 TC 0 23882 PU SPRINGER HEIDELBERG 23883 PI HEIDELBERG 23884 PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY 23885 SN 1520-9512 23886 J9 SLEEP BREATH 23887 JI Sleep Breath. 23888 PD SEP 23889 PY 2007 23890 VL 11 23891 IS 3 23892 BP 129 23893 EP 138 23894 PG 10 23895 SC Clinical Neurology; Respiratory System 23896 GA 202MR 23897 UT ISI:000248906300001 23898 ER 23899 23900 PT J 23901 AU Almansa, C 23902 Rey, E 23903 Bolanos, E 23904 Palma, M 23905 Sanchez, AA 23906 Diaz-Rubio, M 23907 AF Almansa, C. 23908 Rey, E. 23909 Bolanos, E. 23910 Palma, M. 23911 Sanchez, A. Alvarez 23912 Diaz-Rubio, M. 23913 TI Spanish physicians' point of view on irritable bowel syndrome (IBS): 23914 Results of a Delphi survey 23915 SO REVISTA ESPANOLA DE ENFERMEDADES DIGESTIVAS 23916 LA Spanish 23917 DT Article 23918 DE irritable bowel syndrome; Delphi survey 23919 ID ROME-II CRITERIA; DIAGNOSTIC-CRITERIA; PREVALENCE; ASSOCIATION; 23920 DISORDERS; TRIALS; BURDEN 23921 AB Introduction: lack of evidence in most clinical situations regarding 23922 irritable bowel syndrome (IBS) enhances the importance of an expert's 23923 opinion, which will guide management and even the concept underlying 23924 the disease. 23925 Objective: to delve into the knowledge and degree of agreement on main 23926 clinical skills for this syndrome among physicians involved in its 23927 management. 23928 Material and method: two rounds of a Delphi survey were conducted on 23929 100 physicians: general practitioners (GPs) and gastroenterologists. 23930 The questionnaire evaluated agreement among participants in some 23931 aspects regarding the definition, diagnosis, and treatment of IBS. 23932 Results: fifty-five percent of participants completed the two-round 23933 survey. Agreement was achieved regarding the definition of typical 23934 symptoms and red flags characterizing IBS. Although there was no 23935 consensus regarding the appropriate management of patients without 23936 alarm symptoms, the performance of a colonoscopy on any patient 23937 presenting red flags was suggested. Patients were thought to require a 23938 wider examination when older than 40. A well defined line of IBS 23939 treatment was not found, albeit most physicians tended to choose it 23940 depending on the main complaint. 23941 Conclusion: interviewed physicians showed adequate theoretical 23942 knowledge of IBS, but lack of uniformity on diagnosis and treatment 23943 approach reflects the controversial day-by-day management of this 23944 syndrome. 23945 C1 Hosp Clin San Carlos, Serv Aparato Digest, E-28040 Madrid, Spain. 23946 Inst Carlos III, Agencia Evaluac Tecnol, Madrid, Spain. 23947 RP Diaz-Rubio, M, Hosp Clin San Carlos, Serv Aparato Digest, C Martin 23948 Lagos S-N, E-28040 Madrid, Spain. 23949 CR *AM COLL GASTR FUN, 2002, AM J GASTROENTEROL S, V97, S1 23950 ALMASIO PL, 2005, J HEPATOL, V43, P381 23951 BADIA X, 2002, PHARMACOECONOMICS, V20, P749 23952 CHANG L, 2001, AM J GASTROENTEROL, V96, P3341 23953 DROSSMAN DA, 2000, ROME 2 FUNCTIONAL GA 23954 DROSSMAN DA, 2002, GASTROENTEROLOGY, V123, P2108 23955 GLADMAN LM, 2003, ALIMENT PHARM THERAP, V17, P651 23956 HAMMER J, 2004, GUT, V53, P666 23957 HUNGIN APS, 2003, ALIMENT PHARM THERAP, V17, P643 23958 IZQUIERDO S, 2005, REV ESP ENFERM DIG, V97, P223 23959 JONES J, 2000, GUT, V7, II1 23960 LEA R, 2004, DIGESTION, V70, P210 23961 LONGSTRETH GF, 2006, GASTROENTEROLOGY, V130, P1480 23962 MEARIN F, 2001, SCAND J GASTROENTERO, V36, P1155 23963 MOKKINK LB, 2006, BMC MED RES METHODOL, V24, P2 23964 OWENS DM, 1995, ANN INTERN MED, V122, P107 23965 PATEL SM, 2005, NEUROGASTROENT MOTIL, V17, P332 23966 POWELL C, 2003, J ADV NURS, V41, P376 23967 SANDERS DS, 2001, LANCET, V358, P1504 23968 SANDLER RS, 2002, GASTROENTEROLOGY, V122, P1500 23969 SPILLER RC, 1999, AM J MED, V107, S91 23970 THOMPSON WG, 2000, GUT, V46, P78 23971 VERHAGEN AP, 1998, J CLIN EPIDEMIOL, V51, P1235 23972 YAWN BP, 2001, BMC GASTROENTEROL, V1, P11 23973 NR 24 23974 TC 0 23975 PU ARAN EDICIONES, S A 23976 PI MADRID 23977 PA CASTELLO, 128, 1O, 28006 MADRID, SPAIN 23978 SN 1130-0108 23979 J9 REV ESPAN ENFERM DIG 23980 JI Rev. Esp. Enferm. Dig. 23981 PD APR 23982 PY 2007 23983 VL 99 23984 IS 4 23985 BP 210 23986 EP 217 23987 PG 8 23988 SC Gastroenterology & Hepatology 23989 GA 191UW 23990 UT ISI:000248158500005 23991 ER 23992 23993 PT J 23994 AU Price, DB 23995 Williams, AE 23996 Yoxall, S 23997 AF Price, David B. 23998 Williams, Angela E. 23999 Yoxall, Sally 24000 TI Salmeterol/fluticasone stable-dose treatment compared with 24001 formoterol/budesonide adjustable maintenance dosing: impact on 24002 health-related quality of life 24003 SO RESPIRATORY RESEARCH 24004 LA English 24005 DT Article 24006 ID ASTHMA EXACERBATIONS; AIRWAY INFLAMMATION; PERSISTENT ASTHMA; 24007 BUDESONIDE/FORMOTEROL; QUESTIONNAIRE; HYPERRESPONSIVENESS; PERFORMANCE; 24008 TRIALS; ADULTS 24009 AB Background: Improving patients' health- related quality of life ( 24010 HRQoL) is recognized as a fundamental part of asthma management. The 24011 aims of this study were to evaluate the long- term efficacy ( including 24012 symptom- free days and exacerbations) and impact on HRQoL of a stable- 24013 dose regimen of salmeterol/ fluticasone propionate ( SAL/ FP) and an 24014 adjustable maintenance dosing ( AMD) regimen of formoterol/ budesonide 24015 ( FOR/ BUD) where treatment is adjusted based on symptoms [ SAM40056]. 24016 Methods: A total of 688 outpatients with asthma receiving regular low- 24017 dose inhaled corticosteroids ( ICS) plus a long- acting 24018 beta(2)-agonist, or medium dose ICS alone participated in this 24019 randomized, double- blind, double- dummy, parallel- group, 1- year 24020 trial, which was conducted in 91 centers in 15 countries. Patients were 24021 randomized to receive 1 inhalation of SAL/ FP 50/ 250 mu g BID or 2 24022 inhalations of FOR/ BUD 6/ 200 mu g BID during Weeks 1 - 4. For Weeks 5 24023 - 52, patients meeting strict continuation criteria for stable asthma 24024 at Week 4 received AMD with FOR/ BUD or stable- dose SAL/ FP. 24025 Results: The percentage of symptom- free days was significantly greater 24026 ( 58.8% vs 52.1%; p = 0.034) and the annual exacerbation rate was 24027 significantly lower ( 47%; p = 0.008) with stable- dose SAL/ FP 24028 compared with FOR/ BUD AMD. A total of 568 patients completed the 24029 Asthma Quality of Life Questionnaire ( AQLQ) at least once during the 24030 study. The mean change from baseline in AQLQ overall score was 24031 numerically greater with SAL/ FP than FOR/ BUD at week 28 and week 52, 24032 but did not reach statistical significance ( p = 0.121 at Week 52). 24033 However, in a post hoc logistic regression analyses for any AQLQ 24034 improvement, significant benefits with SAL/ FP were seen at both time 24035 points ( p = 0.038 and p = 0.009, respectively). The minimally 24036 important difference of >= 0.5- point improvement in AQLQ overall score 24037 was achieved by a significantly greater number of patients receiving 24038 SAL/ FP at Week 28 ( 68% vs 60%; p = 0.049); a trend for this 24039 difference remained at Week 52 ( 71% vs 65%) ( p = 0.205). 24040 Conclusion: In this population of patients with persistent asthma, 24041 stable- dose SAL/ FP resulted in significantly greater increases in 24042 symptom- free days, a reduction in exacerbation rates, and provided 24043 greater HRQoL benefits compared with FOR/ BUD AMD. 24044 C1 Univ Aberdeen, Dept Gen Practice & Primary Care, Aberdeen AB25 2AY, Scotland. 24045 GlaxoSmithKline Inc, Res & Dev, Greenford UB6 0HE, Middx, England. 24046 RP Price, DB, Univ Aberdeen, Dept Gen Practice & Primary Care, 24047 Foresterhill Hlth Ctr,Westburn Rd, Aberdeen AB25 2AY, Scotland. 24048 EM david@respiratoryresearch.org 24049 angela.e.williams@gsk.com 24050 sally.q.yoxall@gsk.com 24051 CR *AM THOR SOC, QUAL LIF RES 24052 *EMEA, 2004, REFL PAP REG GUID US 24053 *GLOB IN ASTHM, 2004, GLOB STRAT ASTHM MAN 24054 *US FDA, CTR DRUG EV RES GUID 24055 AALBERS R, 2004, CURR MED RES OPIN, V20, P225 24056 BATEMAN ED, 2004, AM J RESP CRIT CARE, V170, P836 24057 BUSHNELL DM, 2003, J ASTHMA, V40, P751 24058 DEKLUIJVER J, 2002, AM J RESP CRIT CARE, V166, P294 24059 FITZGERALD JM, 2003, CAN RESP J, V10, P427 24060 FITZGERALD JM, 2005, CLIN THER, V27, P393 24061 GREEN RH, 2002, LANCET, V360, P1715 24062 GUYATT GH, 1998, BRIT MED J, V316, P690 24063 JAYARAM L, 2003, AM J RESP CRIT CARE, V167, A976 24064 JUNIPER EF, 1992, THORAX, V47, P76 24065 JUNIPER EF, 1993, AM REV RESPIR DIS, V147, P832 24066 JUNIPER EF, 1994, J CLIN EPIDEMIOL, V47, P81 24067 JUNIPER EF, 1999, EUR RESPIR J, V14, P1038 24068 JUNIPER EF, 2001, EUR RESPIR J, V18, P38 24069 JUNIPER EF, 2002, CHEST, V121, P1824 24070 JUNIPER EF, 2004, EUR RESPIR J, V23, P287 24071 LEIDY NK, 1998, QUAL LIFE RES, V7, P127 24072 MARKS GB, 1992, J CLIN EPIDEMIOL, V45, P462 24073 PIZZICHINI MMM, 2004, AM J RESP CRIT CA S7, V169, A366 24074 PRICE DB, 1998, AM J RESP CRIT CARE, V157, A631 24075 RABE KF, 2004, J ALLERGY CLIN IMMUN, V114, P40 24076 REDDEL HK, 2000, EUR RESPIR J, V16, P579 24077 ROSENHALL L, 2003, RESP MED, V97, P702 24078 ROSENZWEIG JRC, 2004, RESP MED, V98, P1157 24079 RUTTENVANMOLKEN MP, 1995, EUR RESPIR J, V8, P888 24080 SONT JK, 1999, AM J RESP CRIT CARE, V159, P1043 24081 STALLBERG B, 2003, INT J CLIN PRACT, V57, P656 24082 WARD C, 2002, THORAX, V57, P309 24083 NR 32 24084 TC 0 24085 PU BIOMED CENTRAL LTD 24086 PI LONDON 24087 PA MIDDLESEX HOUSE, 34-42 CLEVELAND ST, LONDON W1T 4LB, ENGLAND 24088 SN 1465-9921 24089 J9 RESPIR RES 24090 JI Respir. Res. 24091 PD JUL 4 24092 PY 2007 24093 VL 8 24094 AR 46 24095 DI ARTN 46 24096 PG 7 24097 SC Respiratory System 24098 GA 191WG 24099 UT ISI:000248162100001 24100 ER 24101 24102 PT J 24103 AU Minarovic, TJ 24104 Bambara, LM 24105 AF Minarovic, Timothy J. 24106 Bambara, Linda M. 24107 TI Teaching employees with intellectual disabilities to manage changing 24108 work routines using varied sight-word checklists 24109 SO RESEARCH AND PRACTICE FOR PERSONS WITH SEVERE DISABILITIES 24110 LA English 24111 DT Article 24112 DE antecedent prompts; self-management; sight words; supported employment; 24113 generalization; multiple exemplar training 24114 ID SEVERE MENTAL-RETARDATION; SELF-MANAGEMENT; COMMUNITY SETTINGS; SEVERE 24115 HANDICAPS; PICTURE PROMPTS; INSTRUCTION; STUDENTS; SKILLS; INDIVIDUALS; 24116 ADOLESCENTS 24117 AB This study examined the effects of teaching employees with moderate 24118 intellectual disabilities to use sight-word checklists as antecedent 24119 prompts to self-initiate job tasks in varied and novel sequences. The 24120 intervention package consisted of (a) sight word reading and 24121 comprehension instruction, and (b) self-management training using first 24122 a consistently ordered sight-word checklist and then varied checklists 24123 in which the word order representing job sequences varied across 24124 sessions. A multiple probe design across participants was used to 24125 evaluate (a) the effects of sight word instruction and self-management 24126 training on the participants' self-initiations of job tasks, and b) the 24127 effects of a consistently ordered (i.e., single exemplar) versus varied 24128 (i.e., multiple exemplars) checklists on the participants' performance 24129 across novel job sequences. Results indicated that the training package 24130 was effective in teaching the employees to use sight-word checklists to 24131 initiate job tasks, but only when the employees were trained on varied 24132 checklists were they able to initiate job tasks across novel varied job 24133 sequences. The advantages of instructing across varied sight-word 24134 checklists for promoting independence in changing work environments are 24135 discussed. 24136 C1 Lehigh Univ, Bethlehem, PA 18015 USA. 24137 RP Bambara, LM, Coll Educ, Dept Educ & Human Serv, Mountaintop Campus,111 24138 Res Dr, Bethlehem, PA 18015 USA. 24139 EM lmb1@lehigh.edu 24140 CR AGRAN M, 1987, TEACH SELF INSTRUCTI 24141 AGRAN M, 1989, J ASSOC PERS SEVERE, V14, P147 24142 AGRAN M, 2003, STUDENT DIRECTED LEA 24143 BAMBARA LM, 1992, J ASSOC PERS SEVERE, V17, P67 24144 BAMBARA LM, 1997, STUDENT DIRECTED LEA, P111 24145 BRIGGS A, 1990, EDUC TRAIN MENT RET, V25, P381 24146 BROWDER DM, 1998, J SPEC EDUC, V32, P130 24147 BROWDER DM, 2000, EDUC TRAIN MENT RET, V35, P78 24148 BROWDER DM, 2006, EXCEPT CHILDREN, V72, P392 24149 COPELAND SR, 2000, EDUC TRAIN MENT RET, V35, P294 24150 FERGUSON B, 1991, EDUC TRAIN MENT RET, V26, P292 24151 GETTINGER M, 1985, J APPL BEHAV ANAL, V18, P167 24152 HORNER RD, 1978, J APPL BEHAV ANAL, V11, P189 24153 HUGHES C, 1989, J APPL BEHAV ANAL, V22, P365 24154 HUGHES C, 1992, AM J MENT RETARD, V97, P302 24155 HUGHES C, 1993, J ASSOC PERS SEVERE, V18, P261 24156 HUGHES C, 1996, AM J MENT RETARD, V100, P565 24157 IRVINE AB, 1992, EDUC TRAIN MENT RET, V27, P241 24158 JOHNSON BF, 1981, BEHAV MODIF, V5, P187 24159 LANCIONI GE, 2001, RES DEV DISABIL, V22, P41 24160 LOVETT DL, 1989, EDUC TRAIN MENT RET, V24, P306 24161 MALONE LD, 1992, EXCEPT CHILDREN, V58, P270 24162 MCDONNELL JJ, 1985, ANAL INTERVENTION DE, V5, P323 24163 MITHAUG DE, 1987, EXCEPT CHILDREN, V53, P500 24164 OREILLY MF, 1989, BEHAV RESIDENTIAL TR, V4, P359 24165 OREILLY MF, 1990, J APPL BEHAV ANAL, V23, P431 24166 PIERCE KL, 1994, J APPL BEHAV ANAL, V27, P471 24167 SMITH DJ, 1992, SCH PSYCHOL REV, V21, P59 24168 SOWERS JA, 1985, J APPL BEHAV ANAL, V18, P81 24169 WACKER DP, 1983, J APPL BEHAV ANAL, V16, P417 24170 WACKER DP, 1984, ANAL INTERVEN DEVEL, V4, P353 24171 WACKER DP, 1985, J APPL BEHAV ANAL, V18, P329 24172 WILSON PG, 1987, J ASSOC PERS SEVERE, V12, P145 24173 WONG BYL, 1986, LEARNING DISABILITIE, V2, P20 24174 ZENCIUS AH, 1991, BEHAV RESIDENTIAL TR, V6, P1 24175 NR 35 24176 TC 0 24177 PU TASH 24178 PI BALTIMORE 24179 PA 29 W SUSQUEHANNA AVE, STE 210, BALTIMORE, MD 21204-5201 USA 24180 SN 0274-9483 24181 J9 RES PRACT PERS SEV DISABIL 24182 JI Res. Pract. Pers. Sev. Disabil. 24183 PD SPR 24184 PY 2007 24185 VL 32 24186 IS 1 24187 BP 31 24188 EP 42 24189 PG 12 24190 SC Education, Special; Rehabilitation 24191 GA 193DH 24192 UT ISI:000248253700003 24193 ER 24194 24195 PT J 24196 AU Gehrig, AK 24197 Mikus, G 24198 Haefeli, WE 24199 Burhenne, J 24200 AF Gehrig, Anne-Kathrin 24201 Mikus, Gerd 24202 Haefeli, Walter E. 24203 Burhenne, Juergen 24204 TI Electrospray tandem mass spectroscopic characterisation of 18 24205 antiretroviral drugs and simultaneous quantification of 12 24206 antiretrovirals in plasma 24207 SO RAPID COMMUNICATIONS IN MASS SPECTROMETRY 24208 LA English 24209 DT Article 24210 ID HIV-PROTEASE-INHIBITORS; PERFORMANCE LIQUID-CHROMATOGRAPHY; 24211 REVERSE-TRANSCRIPTASE INHIBITORS; BLOOD MONONUCLEAR-CELLS; SIMULTANEOUS 24212 QUANTITATIVE ASSAY; HUMAN-IMMUNODEFICIENCY-VIRUS; M8 NELFINAVIR 24213 METABOLITE; ACTIVE METABOLITE; SPECTROMETRIC ASSAY; CEREBROSPINAL-FLUID 24214 AB The determination of antiretroviral drug concentrations in patients 24215 treated with highly active antiretroviral therapy (HAART) is an 24216 essential part of optimum patient management because of the multitude 24217 of pharmacokinetic drug interactions between these drugs and the risk 24218 of treatment failure or viral resistance if therapeutic concentrations 24219 are not reached. Currently, 21 different antiretrovirals are used in 24220 various combinations rendering therapeutic drug monitoring a laborious 24221 task. We therefore aimed to simultaneously determine as many 24222 antiretrovirals as possible using triple quadrupole mass spectroscopy 24223 with electrospray ionisation. For this purpose, spectra and 24224 fragmentation patterns of the protease inhibitors amprenavir, 24225 atazanavir, indinavir, lopinavir, nelfinavir, ritonavir, and 24226 saquinavir, the non-nucleoside reverse transcriptase inhibitors 24227 delavirdine, efavirenz, and nevirapine, the nucleoside reverse 24228 transcription inhibitors abacavir, didanosine, erntricitabine, 24229 lamivudine, stavudine, zalcitabine, and zidovudine, and the nucleotide 24230 reverse transcriptase inhibitor tenofovir were evaluated. A 24231 bioanalytical method to determine all protease and non-nucleoside 24232 reverse transcriptase inhibitors, and zalcitabine and zidovudine 24233 concentrations in biological matrices was developed. Samples were 24234 prepared by protein precipitation with methanol after addition of three 24235 different internal standards. Antiretrovirals were separated by 24236 high-performance liquid chromatography on a Nucleosil C18-100 Nautilus 24237 column using a gradient of 20mM ammonium acetate including 0.1% aqueous 24238 acetic acid and acetonitrile and detected by electrospray ionisation/ 24239 tandem mass spectrometry in the negative (efavirenz, stavudine, 24240 zidovudine) or positive ionisation mode (all other compounds). The 24241 bioanalytical method was successfully validated according to FDA 24242 guidelines and applied to plasma and cerebrospinal fluid samples of 24243 patients treated for acquired immunodeficiency syndrome (AIDS). 24244 Copyright (c) 2007 John Wiley & Sons, Ltd. 24245 C1 Univ Heidelberg, Dept Internal Med 6, D-69120 Heidelberg, Germany. 24246 RP Burhenne, J, Univ Heidelberg, Dept Internal Med 6, Neuenheimer Feld 24247 410, D-69120 Heidelberg, Germany. 24248 EM juergen.burhenne@med.uni-heidelberg.de 24249 CR *US DHHS FDA, 2001, GUID IND BIOAN METH 24250 AARNOUTSE RE, 2003, DRUGS, V63, P741 24251 ANNESLEY TM, 2003, CLIN CHEM, V49, P1041 24252 ANTINORI A, 2005, CLIN INFECT DIS, V41, P1787 24253 AYMARD G, 2000, J CHROMATOGR B, V744, P227 24254 BECHER F, 2002, RAPID COMMUN MASS SP, V16, P555 24255 BONFIGLIO R, 1999, RAPID COMMUN MASS SP, V13, P1175 24256 BURHENNE J, 2003, J CHROMATOGR B, V784, P233 24257 CHI JD, 2002, J PHARMACEUT BIOMED, V30, P675 24258 COMPAIN S, 2005, J MASS SPECTROM, V40, P9 24259 CROMMENTUYN KML, 2003, J MASS SPECTROM, V38, P157 24260 CROMMENTUYN KML, 2004, J CHROMATOGR B, V804, P359 24261 CROMMENTUYN KML, 2005, J PHARMACEUT BIOMED, V38, P139 24262 DAILLY E, 2004, J CHROMATOGR B, V813, P353 24263 DASGUPTA A, 1999, THER DRUG MONIT, V21, P421 24264 DICKINSON L, 2005, J CHROMATOGR B, V829, P82 24265 EGGEJACOBSEN W, 2004, THER DRUG MONIT, V26, P546 24266 FAN B, 2002, BIOMED CHROMATOGR, V16, P383 24267 HEESWJIJK RPG, 2002, THER DRUG MONIT, V24, P323 24268 HIRABAYASHI Y, 2006, BIOMED CHROMATOGR, V20, P28 24269 HUANG Y, 2004, J CHROMATOGR B, V799, P51 24270 KAPPELHOFF BS, 2004, CLIN PHARMACOKINET, V43, P845 24271 KEIL K, 2003, THER DRUG MONIT, V25, P340 24272 NOTARI S, 2006, J CHROMATOGR B, V831, P258 24273 PALELLA FJ, 1998, NEW ENGL J MED, V338, P853 24274 PELERIN H, 2005, J CHROMATOGR B, V819, P47 24275 PISCITELLI SC, 2001, NEW ENGL J MED, V344, P984 24276 POIRIER JM, 2002, THER DRUG MONIT, V24, P302 24277 POIRIER JM, 2005, THER DRUG MONIT, V27, P186 24278 POLSON C, 2003, J CHROMATOGR B, V785, P263 24279 ROUZES A, 2004, J CHROMATOGR B, V813, P209 24280 TITIER K, 2002, THER DRUG MONIT, V24, P417 24281 TRIBUT O, 2002, THER DRUG MONIT, V24, P554 24282 TRIBUT O, 2005, THER DRUG MONIT, V27, P265 24283 USAMI Y, 2003, CHEM PHARM BULL, V51, P715 24284 VILLANI P, 2001, THER DRUG MONIT, V23, P380 24285 VOLOSOV A, 2002, CLIN BIOCHEM, V35, P99 24286 NR 37 24287 TC 0 24288 PU JOHN WILEY & SONS LTD 24289 PI CHICHESTER 24290 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 24291 SN 0951-4198 24292 J9 RAPID COMMUN MASS SPECTROM 24293 JI Rapid Commun. Mass Spectrom. 24294 PY 2007 24295 VL 21 24296 IS 16 24297 BP 2704 24298 EP 2716 24299 PG 13 24300 SC Chemistry, Analytical; Spectroscopy 24301 GA 200NJ 24302 UT ISI:000248769800021 24303 ER 24304 24305 PT J 24306 AU Blenkharn, JI 24307 AF Blenkharn, J. I. 24308 TI Standards of clinical waste management in hospitals - A second look 24309 SO PUBLIC HEALTH 24310 LA English 24311 DT Article 24312 DE clinical waste; health and safety; hospital hygiene; waste management 24313 AB Methods: The arrangements for bulk clinical waste handling were audited 24314 in 16 UK hospitals, one year after an earlier audit that revealed many 24315 deficiencies in performance. 24316 Results: Storage of clinical waste carts in areas accessible to members 24317 of the public and failure to lock individual waste carts was common. 24318 Waste segregation was poor. Many clinical waste carts and the areas 24319 dedicated to their storage were in a poor state of repair. Many 24320 instances of clinical waste storage apparently in breach of UK health 24321 and safety legislation, of fire regulations, and of the hazardous waste 24322 regulations were observed. 24323 Conclusions: The standard of performance in clinical waste management 24324 in UK hospitals remains poor, with evidence of neglect of basic 24325 hygiene, housekeeping and safety standards. However, codes of practice 24326 exist, and despite implementation of the Hazardous Waste Regulations 24327 2006 that provide further control on all wastes management issues, the 24328 reality of clinical waste management in some National Health Service 24329 (NHS) hospitals continues to be largely inadequate. (C) 2007 The Royal 24330 Institute of Public Health. Published by Elsevier Ltd. All rights 24331 reserved. 24332 RP Blenkharn, JI, 18 S Rd, London W5 4RY, England. 24333 EM blenkharn@ianblenkharn.com 24334 CR *ENV AG, 2002, P4073TR RD ENV AG, P1 24335 *ENV AG, 2005, INT DEF CLASS HAZ W 24336 *UN, 2003, STSGAC101 24337 BLENKHARN JI, 2006, J HOSP INFECT, V62, P300 24338 BLENKHARN JI, 2006, J HOSP INFECT, V62, P467 24339 BLENKHARN JL, 2005, HLTH ESTATE, V59, P23 24340 MUHLICH M, 2003, J HOSP INFECT, V55, P260 24341 PRUSS A, 1999, SAFE MANAGEMENT WAST, P1 24342 TOWNEND WK, 2005, WASTE MANAGE RES, V23, P398 24343 TUDOR TL, 2005, WASTE MANAGE, V25, P606 24344 NR 10 24345 TC 0 24346 PU W B SAUNDERS CO LTD 24347 PI LONDON 24348 PA 32 JAMESTOWN RD, LONDON NW1 7BY, ENGLAND 24349 SN 0033-3506 24350 J9 PUBLIC HEALTH 24351 JI Public Health 24352 PD JUL 24353 PY 2007 24354 VL 121 24355 IS 7 24356 BP 540 24357 EP 545 24358 PG 6 24359 SC Public, Environmental & Occupational Health 24360 GA 190LO 24361 UT ISI:000248060500009 24362 ER 24363 24364 PT J 24365 AU Emilien, G 24366 Septien, L 24367 Brisard, C 24368 Corruble, E 24369 Bourin, M 24370 AF Emilien, Gerard 24371 Septien, Lucia 24372 Brisard, Claudine 24373 Corruble, Emmanuelle 24374 Bourin, Michel 24375 TI Bipolar disorder - How far are we from a rigorous definition and 24376 effective management? 24377 SO PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY 24378 LA English 24379 DT Review 24380 DE bipolar depression; bipolar disorder; mania 24381 ID RANDOMIZED CONTROLLED-TRIAL; PLACEBO-CONTROLLED TRIAL; 24382 ANTIDEPRESSANT-INDUCED MANIA; WEEKLY SYMPTOMATIC STATUS; DOUBLE-BLIND; 24383 I-DISORDER; MOOD DISORDERS; UNIPOLAR DEPRESSION; RELAPSE PREVENTION; 24384 MAJOR DEPRESSION 24385 AB Bipolar disorder is a pathological disturbance of mood, characterized 24386 by waxing and waning manic, depressive and, sometimes distinctly mixed 24387 states. A diagnosis of bipolar disorder can only be made with certainty 24388 when the manic syndrome declares itself. Most individuals who are 24389 diagnosed with this disorder will experience both poles of the illness 24390 recurrently, but depressive episodes are the commonest cause of 24391 morbidity and, indeed, of death by suicide. 24392 Twin, adoption and epidemiological studies suggest a strongly genetic 24393 aetiology. It is a genetically and phenotypically complex disorder. 24394 Thus, the genes contributing are likely to be numerous and of small 24395 effect. Individuals with bipolar disorder also display deficits on a 24396 range of neuropsychological tasks in both the acute and euthymic phases 24397 of illness and correlations between number of affective episodes 24398 experienced and task performance are commonly reported. Current 24399 self-report and observer-rated scales are optimized for unipolar 24400 depression and hence limited in their ability to accurately assess 24401 bipolar depression. The development of a specific depression rating 24402 scale will improve the assessment of bipolar depression in both 24403 research and clinical settings. It will improve the development of 24404 better treatments and interventions. 24405 Guidelines support the use of antidepressants for bipolar depression. 24406 With regard to the adverse effects of antidepressants for bipolar 24407 depression, double-blind, placebo-controlled data suggest that 24408 antidepressant monotherapy or the addition of a tricyclic 24409 antidepressant may worsen the course of bipolar disorder. Importantly, 24410 adjunctive psychotherapies add significantly (both statistically and 24411 clinically) to the efficacy of pharmacological treatment regimens. The 24412 successful management of bipolar disorder clearly demands improved 24413 recognition of bipolar disorder and effective long-term treatment for 24414 bipolar depression as well as mania. (c) 2007 Elsevier Inc. 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RICE JP, 1986, PSYCHIAT RES, V19, P285 24592 RIHMER Z, 1999, PSYCHIAT CLIN N AM, V22, P667 24593 ROBINS LN, 1984, ARCH GEN PSYCHIAT, V41, P949 24594 ROTHSCHILD AJ, 1999, J CLIN PSYCHIAT, V60, P116 24595 ROTONDO A, 2002, AM J PSYCHIAT, V159, P23 24596 RUBINSZTEIN JS, 2006, PSYCHOL MED, V36, P629 24597 RYBAKOWSKI JK, 1999, J PSYCHIAT RES, V33, P363 24598 SACHS G, 2003, 55 M I PSYCH SERV BO 24599 SACHS GS, 2000, POSTGRAD MED, P1 24600 SCHATZBERG AF, 1983, AM J PSYCHIAT, V140, P88 24601 SCHURHOFF F, 2000, J AFFECT DISORDERS, V58, P215 24602 SERRETTI A, 2002, PSYCHIAT RES, V112, P195 24603 SHARMA V, 2005, J AFFECT DISORDERS, V84, P251 24604 SHELINE YI, 2003, BIOL PSYCHIAT, V54, P338 24605 SIMPSON SG, 1999, J CLIN PSYCHIAT S2, V60, P53 24606 SKLAR P, 2002, MOL PSYCHIATR, V7, P579 24607 SMALL JG, 1990, PSYCHOPHARMACOL BULL, V26, P25 24608 SMOLLER JW, 2003, AM J MED GENET C C, V123, P48 24609 SOARES JC, 1997, J PSYCHIAT RES, V31, P393 24610 SPORN J, 1997, J CLIN PSYCHOPHARM, V17, P185 24611 SRISURAPANONT M, 1995, CAN J PSYCHIAT, V40, P533 24612 STARDO L, 1987, ACT APSYCHIAT SCAND, V76, P129 24613 STEER RA, 1997, MEAS EVAL COUNS DEV, V30, P128 24614 STEINGARD RJ, 1996, J AM ACAD CHILD PSY, V35, P307 24615 STOPKOVA P, 2004, BIOL PSYCHIAT, V55, P981 24616 STRAKOWSKI SM, 1996, J AFFECT DISORDERS, V39, P157 24617 STROOP JR, 1935, J EXP PSYCHOL, V18, P643 24618 SUPPES T, 1999, AM J PSYCHIAT, V156, P1164 24619 SUPPES T, 2001, J AFFECT DISORDERS, V67, P45 24620 SUPPES T, 2005, J CLIN PSYCHIAT, V66, P870 24621 THASE ME, 2000, BIOL PSYCHIAT, V48, P558 24622 TOHEN M, 1999, AM J PSYCHIAT, V156, P702 24623 TOHEN M, 2003, 156 ANN M AM PSYCH A 24624 TOHEN M, 2003, AM J PSYCHIAT, V160, P1263 24625 TOHEN M, 2003, ARCH GEN PSYCHIAT, V60, P1079 24626 TOHEN M, 2004, BRIT J PSYCHIAT, V184, P337 24627 TOHEN M, 2005, AM J PSYCHIAT, V162, P1281 24628 TOHEN M, 2006, AM J PSYCHIAT, V163, P247 24629 TONDO L, 2003, CNS DRUGS, V17, P491 24630 TREISER SL, 1981, SCIENCE, V213, P1529 24631 TSUCHIYA KJ, 2005, J AFFECT DISORDERS, V86, P151 24632 VIETA E, 1997, EUR PSYCHIAT, V12, P11 24633 VIETA E, 2005, BRIT J PSYCHIAT, V187, P235 24634 VIETA E, 2005, CURR MED RES OPIN, V21, P923 24635 WATSON S, 2004, BRIT J PSYCHIAT, V184, P496 24636 WATSON S, 2006, BIPOLAR DISORD, V8, P85 24637 WEBSTER MJ, 2003, MOL PSYCHIATR, V8, P9 24638 WELLER EB, 1995, J AM ACAD CHILD PSY, V34, P709 24639 YATHAM LN, 2003, BRIT J PSYCHIAT, V182, P141 24640 YOUNG RC, 1978, BRIT J PSYCHIAT, V133, P429 24641 YOUNG RC, 1992, AM J PSYCHIAT, V149, P867 24642 ZUNG WWK, 1965, ARCH GEN PSYCHIAT, V12, P63 24643 NR 221 24644 TC 0 24645 PU PERGAMON-ELSEVIER SCIENCE LTD 24646 PI OXFORD 24647 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 24648 SN 0278-5846 24649 J9 PROG NEURO-PSYCH BIOL PSYCH 24650 JI Prog. Neuro-Psychopharmacol. Biol. Psychiatry 24651 PD JUN 30 24652 PY 2007 24653 VL 31 24654 IS 5 24655 BP 975 24656 EP 996 24657 PG 22 24658 SC Clinical Neurology; Neurosciences; Pharmacology & Pharmacy; Psychiatry 24659 GA 190LW 24660 UT ISI:000248061300001 24661 ER 24662 24663 PT J 24664 AU Frank, WL 24665 AF Frank, W. L. 24666 TI Process safety culture in the CCPS risk based process safety model 24667 SO PROCESS SAFETY PROGRESS 24668 LA English 24669 DT Article 24670 DE PSM; process safety management; management system; safety culture; 24671 leadership; risk-based 24672 AB The American Institute of Chemical Engineers (AIChE) Center for 24673 Chemical Process Safety (CCPS) has developed a guideline describing a 24674 new risk based approach that an organization can use in defining and 24675 implementing a process safety management system specific to its unique 24676 needs. Recognizing the importance of safety culture as a determinant of 24677 safety performance, CCPS has included process safety culture as one 24678 element in the new risk-based process safety (RBPS) model. This paper 24679 will describe both the new process safety culture element and its 24680 integration in the overall ABPS model. 24681 C1 ABSG Consulting Inc, Org Performance Assurance Ctr, Wilmington, DE 19806 USA. 24682 RP Frank, WL, ABSG Consulting Inc, Org Performance Assurance Ctr, 5301 24683 Limestone Rd,Ste 210, Wilmington, DE 19806 USA. 24684 EM wfrank@absconsulting.com 24685 CR *CCPS, 2005, BUILD PROC SAF CULT 24686 *UK DEP EN, 1990, PUBL INQ INTO PIP AL, V2 24687 ARENDT S, 2005, 20 ANN CCPS INT C AT 24688 FRANK WL, 2005, AICHE PROC PLANT SAF 24689 HOPKINS A, 2000, LESSONS LONGFORD 24690 JONES D, 2005, 20 ANN CCPS INT C AI 24691 MCCAVIT J, 2005, 20 ANN CCPS INT C AT 24692 SCHEIN EH, 2004, ORG CULTURE LEADERSH 24693 VAUGHAN D, 1996, CHALLENGER LAUNCH DE 24694 WEICK KE, 2001, MANAGING UNEXPECTED 24695 NR 10 24696 TC 0 24697 PU JOHN WILEY & SONS INC 24698 PI HOBOKEN 24699 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 24700 SN 1066-8527 24701 J9 PROCESS SAF PROG 24702 JI Process Saf. Prog. 24703 PD SEP 24704 PY 2007 24705 VL 26 24706 IS 3 24707 BP 203 24708 EP 208 24709 PG 6 24710 SC Engineering, Chemical 24711 GA 202KB 24712 UT ISI:000248899300005 24713 ER 24714 24715 PT J 24716 AU Jennings, SF 24717 AF Jennings, Stephen F. 24718 TI Personal development plans and self-directed learning for healthcare 24719 professionals: are they evidence based? 24720 SO POSTGRADUATE MEDICAL JOURNAL 24721 LA English 24722 DT Article 24723 ID CONTINUING MEDICAL-EDUCATION; GENERAL-PRACTITIONERS; NEEDS ASSESSMENT; 24724 ADULT LEARNER; RISK-TAKING; INSTRUCTION; PARTICIPATION; EXPERIENCE; 24725 KNOWLEDGE; VALIDITY 24726 AB The UK chief medical officer's recommendations for the re-licensing and 24727 performance management of doctors will mean a move from a formative 24728 towards a summative role for appraisal and its adjunct, the personal 24729 development plan. Where does this leave medical educators trying to 24730 promote reflective learning? It is taken for granted that self-directed 24731 learning is the sine qua non of all adult learning. But is it? This 24732 review re-evaluates self-directed learning and its corollary, the 24733 personal development plan, in the light of the chief medical officer's 24734 report, seeking the evidence behind today's accepted educational 24735 practice. It discovers a reality which challenges assumptions long 24736 enshrined in medical education. 24737 C1 Staffordshire Univ, Fac Hlth, Stafford ST18 0AD, England. 24738 RP Jennings, SF, Staffordshire Univ, Fac Hlth, Blackhlth Lane, Stafford 24739 ST18 0AD, England. 24740 EM sfjmedical@btinternet.com 24741 CR *DEP HLTH, 2006, GOOD DOCT SAF PAT PR, P194 24742 ALLISON JJ, 1998, MED DECIS MAKING, V18, P320 24743 ASADOORIAN A, 2005, J DENT EDUC, V69, P1315 24744 BAKER JD, 1985, SOUTH MED J, V78, P1494 24745 BANDARA I, 2002, ED PRIMARY CARE, V13, P370 24746 BANDURA A, 1986, SOCIAL FDN THOUGHT A 24747 BIGGS J, 1986, STUDENT LEARNING RES 24748 BJORK R, 1994, METACOGNITION KNOWIN 24749 BOSHIER R, 1971, ADULT EDUC, V21, P3 24750 BOSHIER R, 1973, ADULT EDUC, V23, P255 24751 BOUCOUVALAS M, 1982, J CORRECTIONAL ED, V32, P31 24752 BROCKETT R, 1991, SELF DIRECTION ADULT 24753 BROOKFIELD S, 1981, STUDIES ADULT ED, P15 24754 BROOKFIELD S, 1982, P 23 ANN ED RES C U, P48 24755 BROOKFIELD S, 1986, UNDERSTANDING FACILI, P96 24756 BURSTOW B, 1984, INT J LIFELONG ED, V3, P193 24757 CAFFARELLA R, 1988, ANN AM ASS ADULT CON 24758 CAMPBELL VN, 1964, PSYCHOL SCH, V1, P348 24759 CANDY P, 1991, SELF DIRECTION LIFEL 24760 CARTER Y, 2005, ED PRIMARY CARE, V16, P672 24761 CERVONE D, 2000, BEHAV MODIF, V24, P30 24762 CSIKSZENTMIHALYI M, 1999, AM PSYCHOL, V54, P821 24763 CURRY L, 1983, LEARNING STYLE CONTI, P115 24764 DANIS C, 1985, P AD ED RES C 24765 DAVIS D, 1996, J CONT ED HLTH PROF, V16, P75 24766 DAVIS DA, 1995, JAMA-J AM MED ASSOC, V274, P700 24767 DENNEY ML, 2005, ED PRIMARY CARE, V16, P697 24768 DEWEY J, 2007, WE THINK 24769 DITTMAN J, 1976, EDUC LEADERSHIP, V33, P463 24770 DUBIN R, 1968, TEACHING LEARNING PA 24771 EVA KW, 2004, ADV HEALTH SCI EDUC, V9, P211 24772 EVA KW, 2005, ACAD MED S, V80, S46 24773 EVA KW, 2005, ADV HEALTH SCI EDUC, V10, P275 24774 EVANS A, 2002, MED TEACH, V24, P79 24775 FLANAGAN J, 1976, J HIGH EDUC, V47, P249 24776 FREIRE P, 1970, PEDAGOGY OPPRESSED 24777 FREIRE P, 1973, ED CRITICAL CONSCIOU 24778 FREWIN C, 1977, ANN 18 ANN AD ED RES 24779 FRY JP, 1972, J EDUC PSYCHOL, V63, P459 24780 GEIS G, 1976, J HIGH EDUC, V47, P249 24781 GORDON MJ, 1991, ACAD MED, V66, P762 24782 GRANT J, 1999, EFFECTIVENESS CONTIN 24783 GRANT J, 2002, BRIT MED J, V324, P156 24784 GROW G, 1996, ADULT ED Q, V41, P125 24785 GRUBER H, 1962, 19 U COL BEH RES LAB 24786 GRUBER H, 1963, SCHOOL SOC, V91, P222 24787 GUGLIELMINO L, 1977, THESIS U GEORGIA, V38, A6467 24788 HONEY P, 1982, MANUAL LEARNING STYL 24789 JUNG C, 1923, PSYCHOL TYPES 24790 KNOWLES M, 1976, SELF DIRECTED LEARNI 24791 KNOWLES M, 1984, ANDRAGOGY ACTION APP 24792 KOLB D, 1976, LEARNING STYLE INVEN 24793 KOLB D, 1984, EXPT LEARNING EXPERI 24794 KOTASKA J, 1975, ADULT EDUC, V25, P161 24795 LAXDAL OE, 1982, J MED EDUC, V57, P827 24796 LEWIS L, 2003, BR J GEN PRACT, V53, P454 24797 LYONS N, 2005, RESPONSIBILITIES NAT 24798 MARBEAU V, 1976, ED CULTURE, P14 24799 MASLOW A, 1968, PSYCHOL BEING 24800 MCKEACHIE WJ, 1960, REV EDUC RES, V30, P351 24801 MEZIROW J, 1981, ADULT LEARNING, V31, P21 24802 MILLAR C, 1986, J CURRICULUM STUD, V18, P437 24803 MOHANNA K, 2004, TEACHING MADE EASY M, P12 24804 MOHANNA K, 2004, TEACHING MADE EASY M, P37 24805 MYERS IB, 1980, GIFTS DIFFERING UNDE 24806 NAYAR V, 2003, ED PRIMARY CARE, V14, P202 24807 NELSON TO, 1994, PSYCHOL SCI, V5, P207 24808 NEWMAN P, 2002, BRIT MED J, V325, P200 24809 NORMAN GR, 1999, ACAD MED, V74, P886 24810 ODDI LF, 1986, ADULT EDUC QUART, V36, P97 24811 OWEN T, 2002, ED461050 ERIC CLEAR 24812 PEARSON P, 1997, BRIT MED J, V314, P817 24813 PRATT D, 1984, P AD ED RES C 25 REL 24814 RAMSAY R, 2003, ED PRIMARY CARE, V14, P166 24815 RAYNER S, 2000, INT PERSPECTIVES IND, V1 24816 RIDING RJ, 1991, EDUC PSYCHOL, V11, P193 24817 ROBINSON G, 2002, MED TEACH, V24, P71 24818 ROGERS C, 1969, FREEDOM LEARN VIEW W 24819 ROSENBLUM S, 1983, ADULT ED Q, V33, P147 24820 ROSS L, 1991, PERSON SITUATION PER 24821 SALJO R, 1975, GOTEBORG STUDIES ED, V14 24822 SCHON D, 1987, ED REFLECTIVE PRACTI 24823 SEARLE J, 2005, MED EDUC, V39, P544 24824 SHAPIRO DH, 1996, AM PSYCHOL, V51, P1213 24825 SIBLEY JC, 1982, NEW ENGL J MED, V306, P511 24826 SMITH J, 2004, 5 REPORT SHIPMAN INQ 24827 SPEAR G, 1981, ED226148 ERIC CLEAR 24828 STANLEY I, 1993, BRIT J GEN PRACT, V43, P210 24829 THIEL J, 1984, P AD ED RES C 25 RAL 24830 TOUGH A, 1978, ADULT EDUC, V28, P250 24831 TOUGH A, 1979, ADULTS LEARNING PROJ 24832 TRACEY JM, 1997, BRIT MED J, V315, P1426 24833 WARD M, 2002, ADV HEALTH SCI EDUC, V7, P63 24834 WITKIN HA, 1949, J PSYCHOL, V18, P145 24835 WUN Y, 2002, ED PRIMARY CARE, V13, P504 24836 NR 95 24837 TC 0 24838 PU B M J PUBLISHING GROUP 24839 PI LONDON 24840 PA BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND 24841 SN 0032-5473 24842 J9 POSTGRAD MED J 24843 JI Postgrad. Med. J. 24844 PD AUG 24845 PY 2007 24846 VL 83 24847 IS 982 24848 BP 518 24849 EP 524 24850 PG 7 24851 SC Medicine, General & Internal 24852 GA 197TU 24853 UT ISI:000248580200003 24854 ER 24855 24856 PT J 24857 AU Williams, TA 24858 Abberton, MT 24859 Olyott, P 24860 Mizen, KA 24861 Cook, R 24862 AF Williams, T. A. 24863 Abberton, M. T. 24864 Olyott, P. 24865 Mizen, K. A. 24866 Cook, R. 24867 TI Evaluation of the effects of resistance to stem nematode (Ditylenchus 24868 dipsaci) in white clover (Trifolium repens L.) under sheep grazing and 24869 cutting 24870 SO PLANT BREEDING 24871 LA English 24872 DT Article 24873 DE Trifolium repens; Ditylenchus dipsaci; grassland management; dry matter 24874 yield 24875 ID ESTABLISHMENT 24876 AB Two field experiments were carried out to analyze the performance of 24877 white clover varieties differing in their resistance to stem nematode. 24878 Varieties were compared under grazing and cutting regimes in mixed 24879 swards with or without the addition of nematode and dry matter yields 24880 of white clover and perennial ryegrass recorded over a 3-year period. 24881 The resistant variety did not show a yield advantage in the absence of 24882 nematode but did so in the presence of nematode in the first year and 24883 for several of the sampling dates in the second year. White clover 24884 yields under grazing were significantly less than under cutting in both 24885 experiments. The hypothesis that the additional stress of grazing would 24886 increase the benefits of resistance relative to a cutting management 24887 was not supported. 24888 C1 Inst Grassland & Environm Res, Aberystwyth SY23 3EB, Ceredigion, Wales. 24889 RP Abberton, MT, Inst Grassland & Environm Res, Plas Gogerddan, 24890 Aberystwyth SY23 3EB, Ceredigion, Wales. 24891 EM michael.abberton@bbsrc.ac.uk 24892 CR *GENST 5 COMM, 1993, GENST 5 REL 3 REF MA 24893 COOK R, 1992, ANN APPL BIOL, V120, P83 24894 COOK R, 1992, GRASS FORAGE SCI, V47, P274 24895 COOK R, 1993, PLANT PARASIT NEMAT, P305 24896 EVANS DR, 1998, J AGR SCI 3, V130, P317 24897 MERCER CF, 1995, NEW ZEAL J AGR RES, V38, P495 24898 PLOWRIGHT RA, 2002, EVALUATING PLANTS RE, P107 24899 SWIFT G, 1992, GRASS FORAGE SCI, V47, P8 24900 WILLIAMS WM, 1972, NZ J AGR RES, V15, P356 24901 NR 9 24902 TC 0 24903 PU BLACKWELL PUBLISHING 24904 PI OXFORD 24905 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 24906 SN 0179-9541 24907 J9 PLANT BREED 24908 JI Plant Breed. 24909 PD AUG 24910 PY 2007 24911 VL 126 24912 IS 4 24913 BP 343 24914 EP 346 24915 PG 4 24916 SC Agronomy; Biotechnology & Applied Microbiology; Plant Sciences 24917 GA 201RD 24918 UT ISI:000248849400002 24919 ER 24920 24921 PT J 24922 AU Hotho, S 24923 Pollard, D 24924 AF Hotho, Sabine 24925 Pollard, David 24926 TI Management as negotiation at the interface: Moving beyond the hill 24927 critical-practice impasse 24928 SO ORGANIZATION 24929 LA English 24930 DT Article 24931 DE academic management; change; critical management; rationality; 24932 universities 24933 ID PERFORMANCE-APPRAISAL; ORGANIZATIONS; RATIONALITIES; MCUNIVERSITY; 24934 DISCOURSE; EDUCATION 24935 AB The seemingly marginal contribution of management theory to management 24936 practice has been commented on in different contexts. Specifically, 24937 critical management studies (CMS) seems suspended in an impasse between 24938 the aim to critique dominant management practice and discourse, and the 24939 expectation to facilitate transformative management action. This paper 24940 argues that the theory-practice impasse may, in part, be a result of 24941 reductivist perspectives discursively produced by both mainstream and 24942 critical management studies. To illustrate this argument, the paper 24943 refers to a case study exploring middle management practice in the 24944 higher education context. It demonstrates that academic middle 24945 management practice as constructed by polarized and polarizing 24946 discourses of either managerial or critical orientation is 24947 counterproductive to a full understanding of this practice and the 24948 contribution it can make to organizations if properly understood, and 24949 proposes an alternative reading aimed to 'cross the divide' between 24950 discourses and between theory and practice. It is proposed that a more 24951 constructive engagement with multiple rationalities can move towards a 24952 more comprehensive understanding of currently marginalized management 24953 activity, and, from there, towards a more productive link between 24954 theory and practice. 24955 C1 Univ Abertay Dundee, Dundee Business Sch, Dundee DD1 1HG, Scotland. 24956 Leeds Metropolitan Univ, Leeds Business Sch, Leeds LS6 3QS, W Yorkshire, England. 24957 RP Hotho, S, Univ Abertay Dundee, Dundee Business Sch, Dundee DD1 1HG, 24958 Scotland. 24959 EM bstsh@tay.ac.uk 24960 D.J.Pollard@Leedsmet.ac.uk 24961 CR *LEAD MAN, 2003, REP JOINT WORK GROUP 24962 AINLEY P, 1994, DEGREES DIFFERENCE H 24963 ALLEN D, 2002, EFFECTIVE ACAD HDB E, P70 24964 ALVESSON M, 1996, MAKING SENSE MANAGEM 24965 ALVESSON M, 2000, DOING CRITICAL MANAG 24966 BARNETT R, 2000, REALIZING U AGE SUPE 24967 BOLAN RS, 1999, J MANAGEMENT HIST, V5, P68 24968 BOYETT I, 1996, LEADERSHIP ORG DEV J, V17, P24 24969 BURKE K, 1945, GRAMMAR MOTIVES 24970 CARR A, 2000, J ORGAN CHANGE MANAG, V13, P208 24971 CASEY C, 2004, J ORGAN CHANGE MANAG, V17, P302 24972 CHIA R, 2000, ORGANIZATION, V7, P513 24973 CLARK H, 1998, NEW HIGHER ED ISSUES, P207 24974 DAVIES A, 2002, CRIT PERSPECT, V13, P179 24975 DEARING R, 1997, NATL COMMITTEE INQUI 24976 DEARLOVE J, 1998, HIGHER ED POLICY, V11, P59 24977 DENTON DD, 1994, HIGHER ED POLICY, V7, P45 24978 DOOST RK, 2000, MANAGERIAL AUDITING, V15, P187 24979 FAIRCLOUGH N, 2003, DISCOURSE SOCIAL CHA 24980 FORD P, 1996, MANAGING CHANGE HIGH 24981 FOURNIER V, 2000, HUM RELAT, V53, P7 24982 GARRICK R, 1997, INQUIRY HIGHER ED RE 24983 GERGEN KJ, 2001, SOCIAL CONSTRUCTION 24984 GORDON G, 1995, QUALITY ASSURANCE ED, V3, P21 24985 GREGORY M, 1996, LEADERSHIP ORG DEV J, V17, P46 24986 HALL S, 1993, NEW STATESMAN S 1126, P14 24987 HALSEY AH, 1992, DECLINE DONNISH DOMI 24988 JACKSON MP, 1999, INT J ED MANAGEMENT, V13, P142 24989 JACKSON N, 2000, RETHINKING ORG BEHAV 24990 JARY D, 1998, NEW HIGHER ED ISSUES, P207 24991 JOHNSTON C, 2004, TIMES HIGHER ED 0130, P9 24992 KENNERLEY JA, 1992, HIGHER ED Q, V46, P166 24993 KNIBGHT PT, 2001, DEP LEADERSHIP HIGHE 24994 MARTIN E, 1999, CHANGING ACAD WORK D 24995 MEYER HD, 2002, J EDUC ADMIN, V40, P534 24996 MIDDLEHURST R, 1993, LEADING ACAD 24997 MIDDLEHURST R, 1995, CHANGING U 24998 OSSEOASARE AE, 2002, QUALITY ASSURANCE ED, V10, P26 24999 PARKER M, 1995, ORGANIZATION, V2, P319 25000 PARKER M, 2002, AGAINST MANAGEMENT 25001 PRICHARD C, 1997, ORGAN STUD, V18, P287 25002 PRICHARD C, 2000, MAKING MANAGERS U CO 25003 ROWLEY DJ, 2003, MANAGE DECIS, V41, P1058 25004 ROWLEY J, 1997, IND COMMER TRAIN, V29, P78 25005 RUTHERFORD D, 1992, STUD HIGH EDUC, V17, P201 25006 SHORE C, 1998, NEW HIGHR ED ISSUES, P151 25007 TAYLOR PG, 1999, MAKING SENSE ACAD LI 25008 TOWNLEY B, 1993, J MANAGE STUD, V30, P221 25009 TOWNLEY B, 1999, J MANAGE STUD, V36, P287 25010 TOWNLEY B, 2002, ACAD MANAGE J, V45, P163 25011 TROW M, 1994, HIGHER ED POLICY, V7, P11 25012 TROWLER P, 2001, ORGANIZATION, V8, P183 25013 TROWLER PR, 1998, ACAD RESPONDING CHAN 25014 TYACK DB, 1995, TINKERING UTOPIA 25015 WHITE RF, 1995, J ORGAN CHANGE MANAG, V8, P45 25016 WILLMOTT H, 1994, NEW THEORY ORG 25017 WILSON T, 1991, IND RELATIONS J, V22, P250 25018 WINTER R, 1996, WORKING HIGHER ED, P71 25019 ZALD MN, 2002, ORGANIZATION, V9, P365 25020 NR 59 25021 TC 0 25022 PU SAGE PUBLICATIONS LTD 25023 PI LONDON 25024 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 25025 SN 1350-5084 25026 J9 ORGANIZATION 25027 JI Organization 25028 PD JUL 25029 PY 2007 25030 VL 14 25031 IS 4 25032 BP 583 25033 EP 603 25034 PG 21 25035 SC Management 25036 GA 191RX 25037 UT ISI:000248150800006 25038 ER 25039 25040 PT J 25041 AU Gulden, W 25042 Ciattaglia, S 25043 Massaut, V 25044 Sardain, P 25045 AF Gulden, W. 25046 Ciattaglia, S. 25047 Massaut, V. 25048 Sardain, P. 25049 TI Main safety issues at the transition from ITER to fusion power plants 25050 SO NUCLEAR FUSION 25051 LA English 25052 DT Article 25053 AB In parallel to the ITER design process and in close cooperation with 25054 the designers a fusion specific safety approach was developed and 25055 implemented. Detailed safety assessments have been performed and 25056 documented in the ITER Generic Site Safety Report (GSSR). Following the 25057 decision on ITER construction in France, results from the GSSR and from 25058 ongoing safety related activities tailored to the Cadarache site and 25059 the French licensing process are now being used to write the ITER 25060 Preliminary Safety Analysis Report. 25061 In the most recent European fusion power plant conceptual. study the 25062 inherent fusion favourable features have been exploited, by appropriate 25063 design and choice of materials, to provide major safety and 25064 environmental advantages. The study focused on five power plant models, 25065 which are illustrative of a wider spectrum of possibilities. These span 25066 a range from relatively near-term concepts, based on limited technology 25067 and plasma physics extrapolations, to a more advanced conception. All 25068 five PPCS plant models differ substantially in their plasma physics, 25069 blanket and divertor technology, size, fusion power and materials 25070 compositions, and these differences lead to differences in the economic 25071 performance and in the details of safety and environmental impacts. 25072 The paper uses the quite detailed information available from ITER 25073 safety documents and highlights the differences between ITER and future 25074 fusion power plants. The main areas investigated are releases and doses 25075 during normal operation and under accidental conditions, occupational 25076 radiation exposure and optimization and waste management, including 25077 recycling and/or final disposal in repositories. 25078 C1 EDFA CSU, D-85748 Garching, Germany. 25079 RP Gulden, W, EDFA CSU, Boltzmannstr 2, D-85748 Garching, Germany. 25080 EM Werner.gulden@tech.efda.org 25081 CR 1995 EUROPEAN UTILIT 25082 *ITER, G84RI ITER 25083 *ITER, G84RI5R02 ITER, V6 25084 *ITER, ITER TECHNICAL BASIS, V24 25085 BRODEN K, 2004, CATEGORISATION ACTIV 25086 DIPACE L, 2004, ONGOING ACTIVITIES R 25087 GULDEN W, 2005, FUSION ENG DES, V75, P1211 25088 MAISONNIER D, 2005, FUSION ENG DES, V75, P1173 25089 NATALIZIO A, 1995, ASSESSMENT ORE 2 FUS 25090 NATALIZIO A, 2004, REV GDRD WORKER DOSE 25091 NATALIZIO A, 2004, WORKER DOSE ASSESSME 25092 OOMS L, 2005, R4056 SCKCEN 25093 PACI S, 2003, ANAL EXTERNAL RADIOA 25094 PAMPIN R, 2006, ACTIVATION LEVELS DE 25095 PAMPIN R, 2007, NUCL FUSION, V47, S469 25096 PAMPINGARCIA R, 2003, CALCULATION TEMPERAT 25097 PAMPINGARCIA R, 2003, HEAT TRANSFER ANAL B 25098 PINNA T, 2002, IDENTIFICATION SELEC 25099 RASKOB W, 2004, 903 FZK IKET 25100 NR 19 25101 TC 0 25102 PU INT ATOMIC ENERGY AGENCY 25103 PI VIENNA 25104 PA WAGRAMERSTRASSE 5, PO BOX 100, A-1400 VIENNA, AUSTRIA 25105 SN 0029-5515 25106 J9 NUCL FUSION 25107 JI Nucl. Fusion 25108 PD JUL 25109 PY 2007 25110 VL 47 25111 IS 7 25112 BP S415 25113 EP S421 25114 PG 7 25115 SC Physics, Fluids & Plasmas; Physics, Nuclear 25116 GA 196RN 25117 UT ISI:000248499800002 25118 ER 25119 25120 PT J 25121 AU Collins, R 25122 Mcleod, M 25123 Hedley, M 25124 Donnison, A 25125 Close, M 25126 Hanly, J 25127 Horne, D 25128 Ross, C 25129 Davies-Colley, R 25130 Bagshaw, C 25131 Matthews, L 25132 AF Collins, Rob 25133 Mcleod, Malcolm 25134 Hedley, Mike 25135 Donnison, Andrea 25136 Close, Murray 25137 Hanly, James 25138 Horne, Dave 25139 Ross, Colleen 25140 Davies-Colley, Robert 25141 Bagshaw, Caroline 25142 Matthews, Lindsay 25143 TI Best management practices to mitigate faecal contamination by livestock 25144 of New Zealand waters 25145 SO NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH 25146 LA English 25147 DT Article 25148 DE agriculture; best management practices; faecal contamination; 25149 mitigation; New Zealand 25150 ID CHEMICAL TRACER MOVEMENT; DAIRY EFFLUENT APPLICATION; PIPE DRAINED 25151 SOILS; SUBSURFACE DRAINAGE; CATTLE PERFORMANCE; QUALITY; FARM; STREAM; 25152 FLOW; REMOVAL 25153 AB This paper summarises findings from the Pathogen Transmission Routes 25154 Research Program, describing pathogen pathways from farm animals to 25155 water bodies and measures that can reduce or prevent this transfer. 25156 Significant faecal contamination arises through the deposition of 25157 faeces by grazing animals directly into waterways in New Zealand. 25158 Bridging of streams intersected by farm raceways is an appropriate 25159 mitigation measure to prevent direct deposition during herd crossings, 25160 whilst fencing stream banks will prevent access from pasture into 25161 waterways by cattle that are characteristically attracted to water. 25162 Riparian buffer strips not only prevent cattle access to waterways, 25163 they also entrap microbes from cattle and other animals being washed 25164 down-slope towards the stream in surface runoff. Microbial water 25165 quality improvements can be realised by fencing stock from ephemeral 25166 streams, wetlands, seeps, and riparian paddocks that are prone to 25167 saturation. Soil type is a key factor in the transfer of faecal 25168 microbes to waterways. The avoidance of, or a reduction in, grazing and 25169 irrigation upon poorly drained soils characterised by high bypass flow 25170 and/or the generation of surface runoff, are expected to improve 25171 microbial water quality. Dairyshed wastewater should be irrigated onto 25172 land only when the water storage capacity of the soil will not be 25173 exceeded. This "deferred irrigation" can markedly reduce pollutant 25174 transfer to waterways, particularly that via subsurface drains and 25175 groundwater. Advanced pond systems provide excellent effluent quality 25176 and have particular application where soil type and/or climate are 25177 unfavourable for irrigation. Research needs are indicated to reduce 25178 faecal contamination of waters by livestock. 25179 C1 Natl Inst Water & Atmospher Res Ltd, Hamilton 3251, New Zealand. 25180 Landcare Res Ltd, Hamilton 3240, New Zealand. 25181 Massey Univ, Inst Nat Resources, Palmerston North 4442, New Zealand. 25182 AgResearch Ltd, Hamilton 3240, New Zealand. 25183 Inst Environm Sci & Res, Christchurch 8540, New Zealand. 25184 Thinking Anim, Hamilton 3253, New Zealand. 25185 RP Davies-Colley, R, Natl Inst Water & Atmospher Res Ltd, POB 11115, 25186 Hamilton 3251, New Zealand. 25187 EM r.davies-colley@niwa.co.nz 25188 CR *DEXC ENV WAIK, 2004, GUID MAN FARM DAIR E 25189 *ENV SOUTHL, 2000, STAT ENV REP WAT 25190 *MFE, 2003, MICR WAT QUAL GUID M 25191 *PARL COMM ENV, 2004, GROW GOOD INT FARM S 25192 AISLABIE J, 2001, AUST J SOIL RES, V39, P1397 25193 ASKEYDORAN M, 1999, RIPARIAN LAND MANAGE, V2, P99 25194 BAGSHAW CS, 2000, THESIS U AUCKLAND AU 25195 BAGSHAW CS, 2002, 200219 MAF 25196 BURNS DA, 2002, NEW ZEAL J MAR FRESH, V36, P371 25197 CAMERON M, 1999, RESOURCE MANAGEMENT 25198 CLOSE M, 2005, FW0535 ESR 25199 CLOSE ME, IN PRESS J WATER HLT 25200 COLLIER KJ, 1995, MANAGING RIPARIAN ZO, V2 25201 COLLINS R, 2003, DIFFUSE POLLUTION BA, P176 25202 COLLINS R, 2004, J ENVIRON QUAL, V33, P1912 25203 COLLINS R, 2004, NEW ZEAL J AGR RES, V47, P565 25204 COLLINS R, 2005, HAM2005054 NIWA MIN 25205 COLLINS R, 2005, J APPL MICROBIOL, V99, P126 25206 CONNOLLY J, 2004, PATHOGEN TRANSMISSIO 25207 CRAGGS RJ, 2004, ECOL ENG, V22, P113 25208 CRAGGS RJ, 2004, NEW ZEAL J AGR RES, V47, P449 25209 DAVIESCOLLEY RJ, 2002, P NZ GRASSLAND ASS, V64, P107 25210 DAVIESCOLLEY RJ, 2003, HAM2003057 NIWA NZ E 25211 DAVIESCOLLEY RJ, 2004, NEW ZEAL J MAR FRESH, V38, P569 25212 DONNISON A, 2004, NEW ZEAL J MAR FRESH, V38, P845 25213 DUNCANSON M, 2000, WATER RES, V34, P3804 25214 FERGUSON C, 2003, CRIT REV ENV SCI TEC, V33, P299 25215 HEDLEY M, 2005, PATHOGEN TRANSMISSIO 25216 HEWITT AF, 1998, LANDCARE RES SCI SER, V1 25217 HICKEY CW, 1989, NEW ZEAL J MAR FRESH, V23, P569 25218 HORNE DJ, 1985, THESIS MASSEY U PALM 25219 HOULBROOKE DJ, 2004, NEW ZEAL J AGR RES, V47, P405 25220 HOULBROOKE DJ, 2004, NEW ZEAL J AGR RES, V47, P587 25221 LARDNER HA, 2005, AUST J AGR RES, V56, P97 25222 LUO J, 2006, P NZ GRASSLAND ASS, V68, P315 25223 MCBRIDE G, 2002, PATHOGEN OCCURRENCE 25224 MCLEOD M, 2001, J ENVIRON QUAL, V30, P2134 25225 MCLEOD M, 2003, AUST J SOIL RES, V41, P1163 25226 MCLEOD M, 2004, NEW ZEAL J AGR RES, V47, P557 25227 MCLEOD M, 2005, LCR0405165 25228 MINER JR, 1992, RANGELANDS, V14, P35 25229 MONAGHAN RM, 2004, NEW ZEAL J AGR RES, V47, P417 25230 MUIRHEAD RW, 2005, APPL ENVIRON MICROB, V71, P2875 25231 NGUYEN L, 2002, DAIRY FARM SOIL MANA, P261 25232 NGUYEN ML, 1998, NEW ZEAL J AGR RES, V41, P279 25233 PARKYN S, 2004, 200405 MAF 25234 PARKYN SM, 2003, RESTOR ECOL, V11, P436 25235 ROBB C, 2000, NZ GUIDELINES UTILIS 25236 ROSS C, 2003, NEW ZEAL J AGR RES, V46, P255 25237 RUTHERFORD JC, 2004, J ENVIRON QUAL, V33, P1133 25238 SAVILL MG, 2001, J APPL MICROBIOL, V91, P38 25239 SHEFFIELD RE, 1997, T ASAE, V40, P595 25240 SUKIAS JPS, 2001, NEW ZEAL J AGR RES, V44, P279 25241 TANNER CC, 2005, AGR ECOSYST ENVIRON, V105, P145 25242 TRIMBLE SW, 1995, GEOMORPHOLOGY, V13, P233 25243 WILCOCK RJ, 1999, NEW ZEAL J MAR FRESH, V33, P683 25244 WILCOCK RJ, 2006, HAM2006104 NIWA ENV 25245 WILCOCK RJ, 2006, P WAT 2006 INT C 1 4 25246 WILLMS WD, 2002, J RANGE MANAGE, V55, P452 25247 NR 59 25248 TC 0 25249 PU RSNZ PUBLISHING 25250 PI WELLINGTON 25251 PA PO BOX 598, WELLINGTON, 00000, NEW ZEALAND 25252 SN 0028-8233 25253 J9 N Z J AGR RES 25254 JI N. Z. J. Agric. Res. 25255 PD JUN 25256 PY 2007 25257 VL 50 25258 IS 2 25259 BP 267 25260 EP 278 25261 PG 12 25262 SC Agriculture, Multidisciplinary 25263 GA 193AF 25264 UT ISI:000248244800011 25265 ER 25266 25267 PT J 25268 AU Dickey, W 25269 AF Dickey, William 25270 TI A case of sequential development of celiac disease and ulcerative 25271 colitis 25272 SO NATURE CLINICAL PRACTICE GASTROENTEROLOGY & HEPATOLOGY 25273 LA English 25274 DT Article 25275 DE biopsy; celiac disease; diagnosis; serology; ulcerative colitis 25276 ID GLUTEN-FREE DIET; CLINICAL CHARACTERISTICS; MULTICENTER; PREVALENCE; 25277 DIAGNOSIS 25278 AB Background A 65-year-old white female who presented with flatulence and 25279 weight loss was investigated by celiac antibody testing, 25280 esophagogastroduodenoscopy, duodenal biopsy and colonoscopy. There were 25281 no positive findings, except for diverticulosis. Almost 5 years later 25282 repeat investigations performed in response to the patient's anemia 25283 confirmed the development of celiac disease. After 18 months of symptom 25284 improvement as a result of gluten exclusion the patient developed 25285 diarrhea, and colonoscopy revealed ulcerative colitis. 25286 Investigations Physical examination; analysis of full blood count; 25287 measurement of serum ferritin, vitamin B-12,folate and C-reactive 25288 protein levels; thyroid and autoantibody profiling (including analysis 25289 of endomysial and tissue transglutaminase antibodies); CT scanning of 25290 the chest, abdomen and pelvis; and performance of 25291 esophagogastroduodenoscopy, push enteroscopy, colonoscopy and wireless 25292 capsule endoscopy. 25293 Diagnosis Celiac disease and ulcerative colitis. 25294 Management Gluten-free diet, mesalazine and prednisolone. 25295 C1 Altnagelvin Hosp, Dept Gastroenterol, Londonderry BT47 6SB, North Ireland. 25296 RP Dickey, W, Univ Ulster, Fac Life & Hlth Sci, Londonderry, North Ireland. 25297 EM wildickey@aol.com 25298 CR ABDULKARIM AS, 2002, AM J GASTROENTEROL, V97, P2016 25299 BROUSSE N, 2005, BEST PRACT RES CL GA, V19, P401 25300 CORRADO F, 2002, ACTA OBSTET GYN SCAN, V81, P180 25301 DICKEY W, 2002, SCAND J GASTROENTERO, V37, P1054 25302 DICKEY W, 2005, DIGEST LIVER DIS, V37, P928 25303 DICKEY W, 2005, SCAND J GASTROENTERO, V40, P1240 25304 DICKEY W, 2006, AM J GASTROENTEROL, V101, P2356 25305 FASANO A, 2003, ARCH INTERN MED, V163, P286 25306 FINE KD, 1997, GASTROENTEROLOGY, V112, P1830 25307 GASBARRINI G, 2001, GERONTOLOGY, V47, P306 25308 KAUKINEN K, 2002, AM J GASTROENTEROL, V97, P695 25309 OBERHUBER G, 1999, EUR J GASTROEN HEPAT, V11, P1185 25310 SANDERS DS, 2005, BRIT MED J, V330, P775 25311 URBAIN D, 2006, ENDOSCOPY, V38, P408 25312 YANG A, 2005, INFLAMM BOWEL DIS, V11, P528 25313 ZIPSER RD, 2003, DIGEST DIS SCI, V48, P761 25314 NR 16 25315 TC 0 25316 PU NATURE PUBLISHING GROUP 25317 PI NEW YORK 25318 PA 75 VARICK STREET, 9TH FLOOR, NEW YORK, NY 10013-1917 USA 25319 SN 1743-4378 25320 J9 NAT CLIN PRACT GASTROENTEROL 25321 JI Nat. Clin. Pract. Gastroenterol. Hepatol. 25322 PD AUG 25323 PY 2007 25324 VL 4 25325 IS 8 25326 BP 463 25327 EP 467 25328 PG 5 25329 SC Gastroenterology & Hepatology 25330 GA 195KX 25331 UT ISI:000248412200012 25332 ER 25333 25334 PT J 25335 AU Nelson, ME 25336 Rejeski, WJ 25337 Blair, SN 25338 Duncan, PW 25339 Judge, JO 25340 King, AC 25341 Macera, CA 25342 Castaneda-Sceppa, C 25343 AF Nelson, Miriam E. 25344 Rejeski, W. Jack 25345 Blair, Steven N. 25346 Duncan, Pamela W. 25347 Judge, James O. 25348 King, Abby C. 25349 Macera, Carol A. 25350 Castaneda-Sceppa, Carmen 25351 TI Physical Activity and Public Health in Older Adults: Recommendation 25352 from the American College of Sports Medicine and the American Heart 25353 Association 25354 SO MEDICINE AND SCIENCE IN SPORTS AND EXERCISE 25355 LA English 25356 DT Article 25357 DE older adults; physical activity; benefits; risks; health 25358 ID RANDOMIZED CONTROLLED-TRIAL; CLINICAL CARDIOLOGY; 25359 CARDIOVASCULAR-DISEASE; EXERCISE; PREVENTION; MANAGEMENT; 25360 REHABILITATION; INTERVENTIONS; SUBCOMMITTEE; PERFORMANCE 25361 AB NELSON, M. E., W. J. REJESKI, S. N. BLAIR, P. W. DUNCAN, J. O. JUDGE, 25362 A. C. KING, C. A. MACERA, and C. CASTANEDA-SCEPPA. Physical Activity 25363 and Public Health in Older Adults: Recommendation from the American 25364 College of Sports Medicine and the American Heart Association. Med. 25365 Sci. Sports Exerc., Vol. 39, No. 8, pp. 1435-1445, 2007. Objective: To 25366 issue a recommendation on the types and amounts of physical activity 25367 needed to improve and maintain health in older adults. Participants: A 25368 panel of scientists with expertise in public health, behavioral 25369 science, epidemiology, exercise science, medicine, and gerontology. 25370 Evidence: The expert panel reviewed existing consensus statements and 25371 relevant evidence from primary research articles and reviews of the 25372 literature. Process: After drafting a recommendation for the older 25373 adult population and reviewing drafts of the Updated Recommendation 25374 from the American College of Sports Medicine (ACSM) and the American 25375 Heart Association (AHA) for Adults, the panel issued a final 25376 recommendation on physical activity for older adults. Summary: The 25377 recommendation for older adults is similar to the updated ACSM/AHA 25378 recommendation for adults, but has several important differences 25379 including: the recommended intensity of aerobic activity takes into 25380 account the older adult's aerobic fitness; activities that maintain or 25381 increase flexibility are recommended; and balance exercises are 25382 recommended for older adults at risk of falls. In addition, older 25383 adults should have an activity plan for achieving recommended physical 25384 activity that integrates preventive and therapeutic recommendations. 25385 The promotion of physical activity in older adults should emphasize 25386 moderate-intensity aerobic activity, muscle-strengthening activity, 25387 reducing sedentary behavior, and risk management. 25388 C1 Tufts Univ, Friedman Sch Nutr Sci & Policy, John Honcock Ctr Phys Act & Nutr, Boston, MA 02111 USA. 25389 Tufts Univ, Frieman Sch Nutr Sci & Policy, Boston, MA 02111 USA. 25390 Wake Forest Univ, Dept Hlth & Exercise Sci, Winston Salem, NC 27109 USA. 25391 Univ S Carolina, Dept Exercise Sci, Dept Epidemiol & Biostat, Columbia, SC 29208 USA. 25392 Duke Univ, Dept Community & Family Med, Div Phys Therapy, Durham, NC USA. 25393 Evercare, Hartford, CT USA. 25394 Univ Connecticut, Sch Med, Ctr Aging, Farmington, CT USA. 25395 Stanford Univ, Dept Hlth Res & Policy & Med, Stanford, CA 94305 USA. 25396 San Diego State Univ, Grad Sch Publ Hlth, San Diego, CA 92182 USA. 25397 Tufts Univ, USDA, Jean Mayer Human Nutr Res Ctr Aging, Boston, MA 02111 USA. 25398 RP Nelson, ME, Tufts Univ, Friedman Sch Nutr Sci & Policy, John Honcock 25399 Ctr Phys Act & Nutr, 150 Harrison Ave,Rm 249, Boston, MA 02111 USA. 25400 EM miriam.nelson@tufts.edu 25401 CR *AGS PAN PERS PAIN, 2002, J AM GERIATR SOC, V50, S205 25402 *AM COLL CARD AM H, 2006, METH MAN ACC AHA GUI 25403 *AM COLL SPORTS ME, 1998, MED SCI SPORTS EXERC, V30, P975 25404 *AM COLL SPORTS ME, 2004, MED SCI SPORTS EXERC, V36, P553 25405 *CDCP, 2003, MMWR-MORBID MORTAL W, V52, P764 25406 *CDCP, 2004, MORBIDITY MORTALITY, V53, P82 25407 *FED INT FOR AG RE, OLD AM 2004 KEY IND 25408 *HLTH CAN, 1999, CAN PHYS ACT GUID HL 25409 *NAT COMM QUAL ASS, 2005, HEDIS, V2 25410 *SIGN, 2002, SIGN PUBL, V62 25411 *US DEP HHS US DEP, 2005, DIET GUID AM 2005 25412 *US DEP HHS, 1996, PHYS ACT HLTH REP SU 25413 *US DEP HHS, 2000, MMWR-MORBID MORTAL W, V22, P22 25414 *US DEP HHS, 2004, BON HLTH OST REP SUR 25415 ABBOTT RD, 2004, JAMA-J AM MED ASSOC, V292, P1447 25416 ALTMAN RD, 2000, ARTHRITIS RHEUM, V43, P1905 25417 BERG AO, 2003, ANN INTERN MED, V139, P930 25418 BORG G, 1982, MED SCI SPORTS EXERC, V14, P377 25419 BRIGNOLE M, 2001, EUR HEART J, V22, P1256 25420 BROSSE AL, 2002, SPORTS MED, V32, P741 25421 BUCHNER DM, 1994, PHYS MED REHABIL CLI, V5, P357 25422 CHOBANIAN AV, 2003, JAMA-J AM MED ASSOC, V289, P2560 25423 DESAI MM, 1999, MOR MORTAL WKLY REP, V48, P7 25424 DOODY RS, 2001, NEUROLOGY, V56, P1154 25425 FLETCHER GF, 2001, CIRCULATION, V104, P1694 25426 FRANKLIN BA, 2000, ACSMS GUIDELINES EXE, P137 25427 GELIEBTER A, 1997, AM J CLIN NUTR, V66, P557 25428 GOING S, 2003, OSTEOPOROSIS INT, V14, P637 25429 GORDON NF, 2004, CIRCULATION, V109, P2031 25430 HAGEN KB, 2002, SPINE, V27, P1736 25431 HASKELL WL, 2007, MED SCI SPORT EXER, V39, P1423 25432 HOOTMAN JM, 2002, MED SCI SPORT EXER, V34, P838 25433 JANSSEN I, 2006, MED SCI SPORT EXER, V38, P418 25434 KAHN EB, 2002, AM J PREV MED S, V22, P73 25435 KATZ P, 2001, J AM GERIATR SOC, V49, P808 25436 KESANIEMI YA, 2001, MED SCI SPORT EXER S, V33, S351 25437 KEYSOR JJ, 2003, AM J PREV MED S2, V25, P129 25438 KING AC, 1997, JAMA-J AM MED ASSOC, V277, P32 25439 KING AC, 2000, J GERONTOL A-BIOL, V55, P74 25440 LARSON EB, 2006, ANN INTERN MED, V144, P73 25441 LATHAM N, 2003, COCHRANE DB SYST REV 25442 LEE I, 2001, MED SCI SPORT EXER S, V33, S93 25443 LEE IM, 2001, MED SCI SPORT EXER S, V33, S459 25444 LOUCKS AB, 1998, J APPL PHYSIOL, V84, P37 25445 LUNDEBJERG N, 2001, J AM GERIATR SOC, V49, P664 25446 MANSON JE, 2002, NEW ENGL J MED, V347, P716 25447 MARTINSON BC, 2003, PREV MED, V37, P319 25448 MCDERMOTT MM, 2006, ANN INTERN MED, V144, P10 25449 NELSON ME, 2004, J GERONTOL A-BIOL, V59, P154 25450 ORY M, 2005, ANN BEHAV MED S, V29, P20 25451 PAHOR M, 2006, J GERONTOL A-BIOL, V61, P1157 25452 PATE RR, 1995, JAMA-J AM MED ASSOC, V273, P402 25453 PAUWELS RA, 2001, AM J RESP CRIT CARE, V163, P1256 25454 PEMBERTON J, 2001, GASTROENTEROLOGY, V119, P1761 25455 PENNINX BWJH, 2001, ARCH INTERN MED, V161, P2309 25456 POLLOCK ML, 2000, CIRCULATION, V101, P828 25457 POPE AM, 1991, DISABILITY AM NATL A, P76 25458 REMME WJ, 2001, EUR HEART J, V22, P1527 25459 ROBERTSON MC, 2002, J AM GERIATR SOC, V50, P905 25460 SIGAL RJ, 2004, DIABETES CARE, V27, P2518 25461 SINGH NA, 1997, SLEEP, V20, P95 25462 SINGH SK, 2002, B ELECTROCHEM, V18, P1 25463 STEWART KJ, 2002, NEW ENGL J MED, V347, P1941 25464 THACKER SB, 2004, MED SCI SPORT EXER, V36, P371 25465 THOMPSON PD, 2003, CIRCULATION, V107, P3109 25466 TSENG BS, 1995, J GERONTOL A-BIOL, V50, P113 25467 WEUVE J, 2004, JAMA-J AM MED ASSOC, V292, P1454 25468 NR 67 25469 TC 2 25470 PU LIPPINCOTT WILLIAMS & WILKINS 25471 PI PHILADELPHIA 25472 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 25473 SN 0195-9131 25474 J9 MED SCI SPORT EXERCISE 25475 JI Med. Sci. Sports Exerc. 25476 PD AUG 25477 PY 2007 25478 VL 39 25479 IS 8 25480 BP 1435 25481 EP 1445 25482 PG 11 25483 SC Sport Sciences 25484 GA 197UH 25485 UT ISI:000248581500028 25486 ER 25487 25488 PT J 25489 AU Kneebone, RL 25490 Nestel, D 25491 Vincent, C 25492 Darzi, A 25493 AF Kneebone, R. L. 25494 Nestel, D. 25495 Vincent, C. 25496 Darzi, A. 25497 TI Complexity, risk and simulation in learning procedural skills 25498 SO MEDICAL EDUCATION 25499 LA English 25500 DT Article 25501 DE humans; patient simulation; education; medical; graduate, methods; risk 25502 assessment; safety management; curriculum; learning 25503 ID CRISIS RESOURCE-MANAGEMENT; OPERATING-ROOM; SAFETY; PERFORMANCE; PATIENT 25504 AB BACKGROUND A complex chain of events underpins every clinical 25505 intervention, especially those involving invasive procedures. Safety 25506 requires high levels of awareness and vigilance. In this paper we 25507 propose a structured approach to procedural training, mapping each 25508 learner's evolving experience within a matrix of clinical risk and 25509 procedural complexity. We use a traffic light analogy to conceptualise 25510 a dynamic awareness of prevailing risk and the implications of moving 25511 between zones. 25512 THE IMPORTANCE OF CONTEXT We argue that clinical exposure can be 25513 consolidated by simulation where appropriate, ensuring that each 25514 learner gains the skills for safe care within the increasingly limited 25515 time available for training. To be effective, however, such simulation 25516 must be realistic, patient-focused, structured and grounded in an 25517 authentic clinical context. Challenge comes not only from technical 25518 difficulty but also from the need for interpersonal skills and 25519 professionalism within clinical encounters. 25520 PATIENT FOCUSED SIMULATION Many existing simulations focus on crises, 25521 so clinicians are in a heightened state of expectation that may not 25522 reflect their usual practice. We argue that simulation should also 25523 reflect commonly occurring non-crisis situations, allowing clinicians 25524 to develop an awareness of the complex events that underpin clinical 25525 encounters. We describe a patient-focused approach to simulation, using 25526 simulated patients and inanimate models within realistic scenarios, to 25527 ground experience in authentic clinical practice and bring together the 25528 complex elements that underpin clinical events. 25529 APPLICATIONS Although our argument has evolved from surgical practice 25530 and operating theatre teams, we believe it can be widely applied to the 25531 increasing number of health care professionals who perform clinical 25532 interventions. 25533 C1 Univ London Imperial Coll Sci Technol & Med, St Marys Hosp, Fac Med,Div Surg Oncol Reprod & Anaesthet, Chancellors Teaching Ctr,Dept Biosurg & Technol, London W2 1NY, England. 25534 RP Kneebone, RL, Univ London Imperial Coll Sci Technol & Med, St Marys 25535 Hosp, Fac Med,Div Surg Oncol Reprod & Anaesthet, Chancellors Teaching 25536 Ctr,Dept Biosurg & Technol, 2nd Floor QEQM Wing,Praed St, London W2 25537 1NY, England. 25538 EM r.kneebone@imperial.ac.uk 25539 CR *AM COLL SURG, 2006, TECHN SKILLS ED SURG 25540 ARON DC, 2002, QUAL SAF HEALTH CARE, V11, P168 25541 BLACK S, 2006, SIMULTAION HEALTHCAR, V1, P66 25542 BLUM RH, 2004, MED EDUC, V38, P45 25543 CALLAND JF, 2002, SURG ENDOSC, V16, P1005 25544 ERICSSON KA, 2004, ACAD MED S, V79, S70 25545 FLETCHER G, 2004, COGNITION TECHNOLOGY, V6, P165 25546 GABA DM, 1995, HUM FACTORS, V37, P20 25547 GABA DM, 2001, SIMULATION GAMING, V32, P175 25548 GABA DM, 2004, QUAL SAF HLTH CAR S1, V13, P2 25549 HOLZMAN RS, 1995, J CLIN ANESTH, V7, P675 25550 HOWARD SK, 1992, AVIAT SPACE ENVIR MD, V63, P763 25551 ISSENBERG SB, 2005, MED TEACH, V27, P10 25552 KNEEBONE R, 2002, MED EDUC, V36, P628 25553 KNEEBONE R, 2005, ACAD MED, V80, P549 25554 KNEEBONE R, 2006, ACAD MED, V81, P919 25555 KNEEBONE R, 2006, MED EDUC, V40, P1105 25556 KNEEBONE RL, 2003, MED EDUC S1, V37, P50 25557 KNEEBONE RL, 2004, MED EDUC, V38, P1095 25558 LINGARD L, 2002, ACAD MED, V77, P232 25559 MARAVELAKIS PE, 2003, QUAL QUANT, V37, P1 25560 MOORTHY K, 2004, SURG ENDOSC, V18, P328 25561 MOORTHY K, 2005, ANN SURG, V242, P631 25562 VINCENT C, 2003, NEW ENGL J MED, V348, P1051 25563 VINCENT C, 2004, ANN SURG, V239, P475 25564 VINCENT CA, 2002, QUAL SAF HEALTH CARE, V11, P76 25565 NR 26 25566 TC 0 25567 PU BLACKWELL PUBLISHING 25568 PI OXFORD 25569 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 25570 SN 0308-0110 25571 J9 MED EDUC 25572 JI Med. Educ. 25573 PD AUG 25574 PY 2007 25575 VL 41 25576 IS 8 25577 BP 808 25578 EP 814 25579 PG 7 25580 SC Education, Scientific Disciplines; Health Care Sciences & Services 25581 GA 200UY 25582 UT ISI:000248789500012 25583 ER 25584 25585 PT J 25586 AU Ahmed, NU 25587 Ouyang, XH 25588 AF Ahmed, N. U. 25589 Ouyang, X. H. 25590 TI Suboptimal RED feedback control for buffered TCP flow dynamics in 25591 computer network 25592 SO MATHEMATICAL PROBLEMS IN ENGINEERING 25593 LA English 25594 DT Article 25595 AB We present an improved dynamic system that simulates the behavior of 25596 TCP flows and active queue management (AQM) system. This system can be 25597 modeled by a set of stochastic differential equations driven by a 25598 doubly stochastic point process with intensities being the controls. 25599 The feedback laws proposed monitor the status of buffers and 25600 multiplexor of the router, detect incipient congestion by sending 25601 warning signals to the sources. The simulation results show that the 25602 optimal feedback control law from the class of linear as well as 25603 quadratic polynomials can improve the system performance significantly 25604 in terms of maximizing the link utilization, minimizing congestion, 25605 packet losses, as well as global synchronization. The optimization 25606 process used is based on random recursive search technique known as RRS. 25607 Copyright (c) 2007. 25608 C1 Univ Ottawa, SITE, Ottawa, ON K1N 6N5, Canada. 25609 RP Ahmed, NU, Univ Ottawa, SITE, 161 Louis Pasteur,POB 450, Ottawa, ON K1N 25610 6N5, Canada. 25611 EM ahmed@site.uottawa.ca 25612 xouya073@uottawa.ca 25613 CR AHMED NU, 2005, MATH PROBL ENG, P477 25614 CHUNG J, 2003, P 2 IEEE INT S NETW, P359 25615 FLOYD S, 1993, IEEE ACM T NETWORK, V1, P397 25616 YE T, 2001, RECURSIVE RANDOM SEA 25617 NR 4 25618 TC 0 25619 PU HINDAWI PUBLISHING CORPORATION 25620 PI NEW YORK 25621 PA 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA 25622 SN 1024-123X 25623 J9 MATH PROBL ENG 25624 JI Math. Probl. Eng. 25625 PY 2007 25626 SI Sp. Iss. SI 25627 AR 54683 25628 DI ARTN 54683 25629 PG 17 25630 SC Engineering, Multidisciplinary; Mathematics, Interdisciplinary 25631 Applications 25632 GA 192QM 25633 UT ISI:000248217100005 25634 ER 25635 25636 PT J 25637 AU Hetzel, MW 25638 Iteba, N 25639 Makemba, A 25640 Mshana, C 25641 Lengeler, C 25642 Obrist, B 25643 Schulze, A 25644 Nathan, R 25645 Dillip, A 25646 Alba, S 25647 Mayumana, I 25648 Khatib, RA 25649 Njau, JD 25650 Mshinda, H 25651 AF Hetzel, Manuel W. 25652 Iteba, Nelly 25653 Makemba, Ahmed 25654 Mshana, Christopher 25655 Lengeler, Christian 25656 Obrist, Brigit 25657 Schulze, Alexander 25658 Nathan, Rose 25659 Dillip, Angel 25660 Alba, Sandra 25661 Mayumana, Iddy 25662 Khatib, Rashid A. 25663 Njau, Joseph D. 25664 Mshinda, Hassan 25665 TI Understanding and improving access to prompt and effective malaria 25666 treatment and care in rural Tanzania: the ACCESS Programme 25667 SO MALARIA JOURNAL 25668 LA English 25669 DT Article 25670 ID INSECTICIDE-TREATED NETS; HOME TREATMENT; HEALTH-CARE; INTEGRATED 25671 MANAGEMENT; CHILDHOOD ILLNESS; PUBLIC-HEALTH; FEBRILE ILLNESS; 25672 DISTRICT; KENYA; AREA 25673 AB Background: Prompt access to effective treatment is central in the 25674 fight against malaria. However, a variety of interlinked factors at 25675 household and health system level influence access to timely and 25676 appropriate treatment and care. Furthermore, access may be influenced 25677 by global and national health policies. As a consequence, many malaria 25678 episodes in highly endemic countries are not treated appropriately. 25679 Project: The ACCESS Programme aims at understanding and improving 25680 access to prompt and effective malaria treatment and care in a rural 25681 Tanzanian setting. The programme's strategy is based on a set of 25682 integrated interventions, including social marketing for improved care 25683 seeking at community level as well as strengthening of quality of care 25684 at health facilities. This is complemented by a project that aims to 25685 improve the performance of drug stores. The interventions are 25686 accompanied by a comprehensive set of monitoring and evaluation 25687 activities measuring the programme's performance and (health) impact. 25688 Baseline data demonstrated heterogeneity in the availability of malaria 25689 treatment, unavailability of medicines and treatment providers in 25690 certain areas as well as quality problems with regard to drugs and 25691 services. 25692 Conclusion: The ACCESS Programme is a combination of multiple 25693 complementary interventions with a strong evaluation component. With 25694 this approach, ACCESS aims to contribute to the development of a more 25695 comprehensive access framework and to inform and support public health 25696 professionals and policy-makers in the delivery of improved health 25697 services. 25698 C1 Swiss Trop Inst, Dept Publ Hlth & Epidemiol, CH-4002 Basel, Switzerland. 25699 Ifakara Hlth Res & Dev Ctr, Ifakara, Tanzania. 25700 Novartis Fdn Sustainable Dev, CH-4002 Basel, Switzerland. 25701 RP Hetzel, MW, Swiss Trop Inst, Dept Publ Hlth & Epidemiol, POB, CH-4002 25702 Basel, Switzerland. 25703 EM manuel.hetzel@unibas.ch 25704 drnelly.Iteba@gmail.com 25705 makemba_am@yahoo.co.uk 25706 cmshana@ihrdc.or.tz 25707 christian.lengeler@unibas.ch 25708 brigit.obrist@unibas.ch 25709 alexander.schulze@novartis.com 25710 rnathan@ihrdc.or.tz 25711 adillip@ihrdc.or.tz 25712 sandra.alba@gmail.com 25713 imayumana@yahoo.com 25714 rashiditz@yahoo.com 25715 joseph.don@gmail.com 25716 hmshinda@ihrdc.or.tz 25717 CR *COMM EC ANT DRUGS, 2004, SAV LIV BUY TIM EC M 25718 *MIN HLTH SOC WELF, 2006, NAT GUID DIAGN TREAT, V11 25719 *MIN HLTH, 2000, NAT GUID MAL DIAGN T 25720 *MIN HLTH, 2002, NAT MAL MED TERM STR 25721 *MIN HLTH, 2003, PROJ DOC SUPP STRENG 25722 *MIN HLTH, 2004, ASS REP QUAL IMPR RE 25723 *MSH, 2006, INCR ACC QUAL ESS ME 25724 *UN REP TANZ, 2002, POP HOUS CENS 25725 *US PHARM CONV, 2000, US PHARM NAT FORM US 25726 *WHO UNICEF, 2003, AFR MAL REP 2003 25727 *WHO UNICEF, 2005, WORLD MAL REP 2005 25728 *WHO, 1997, IMPR CHILD HLTH IMCI 25729 *WHO, 2004, CHILD HLTH COMM COMM 25730 *WHO, 2004, STRAT FRAM MAL PREV 25731 *WHO, 2005, ROLL BACK MAL STRAT 25732 AFENYADU GY, 2005, TROP MED INT HEALTH, V10, P1065 25733 ANDREASEN AR, 1995, MARKETING SOCIAL CHA 25734 BELL D, 2006, NAT REV MICROBIOL, V4, P682 25735 BRAUN M, 2005, QUALITY ASSESSMENT A, P1 25736 BREMAN JG, 2004, AM J TROP MED HYG S, V71, P1 25737 BRYCE J, 2005, HEALTH POLICY PLA S1, V20, I69 25738 BRYCE J, 2005, HEALTH POLICY PLA S1, V20, I94 25739 DESAVIGNY D, 2004, FIXING HLTH SYSTEMS 25740 DESAVIGNY D, 2004, MALAR J, V3 25741 DRAKELEY C, 2003, TROP MED INT HEALTH, V8, P767 25742 FANKHAUSER M, 2006, MAARIA MORBIDITY PRE 25743 FONT F, 2001, TROP MED INT HEALTH, V6, P423 25744 GILSON L, 2003, SOC SCI MED, V56, P1453 25745 GILSON L, 2005, SOC SCI MED, V61, P1418 25746 GIMNIG JE, 2006, AM J TROP MED HYG, V74, P738 25747 GOODMAN C, 2004, TROP MED INT HEALTH, V9, P655 25748 GOODMAN CA, 2004, EC ANAL RETAIL MARKE 25749 HABICHT JP, 1999, INT J EPIDEMIOL, V28, P10 25750 HAINES A, 2004, B WORLD HEALTH ORGAN, V82, P724 25751 HAMEL MJ, 2001, B WORLD HEALTH ORGAN, V79, P1014 25752 HETZEL MW, 2006, MALARIA J, V5, P108 25753 HETZEL MW, 2007, TROP MED INT HLTH S1, V12, P32 25754 KIDANE G, 2000, LANCET, V356, P550 25755 LIGANGA L, 2006, THISDAY 25756 MAKEMBA AM, 1996, TROP MED INT HEALTH, V1, P305 25757 MANZI F, 2005, HEALTH POLICY PLA S1, V20, I85 25758 MARSH VM, 1999, TROP MED INT HEALTH, V4, P383 25759 MARSH VM, 2004, TROP MED INT HEALTH, V9, P451 25760 MBWASI R, 2005, MAPPING DUKA DAWA BA 25761 MBWASI R, 2005, US HOL APPR TRANSF P 25762 MCCOMBIE SC, 1996, SOC SCI MED, V43, P933 25763 MCCOMBIE SC, 2002, HEALTH POLICY PLANN, V17, P333 25764 MINJA H, 2001, INTRO INSECTICIDE TR 25765 MINJA H, 2001, TROP MED INT HEALTH, V6, P614 25766 NOOR AM, 2003, TROP MED INT HEALTH, V8, P917 25767 NSIMBA SED, 2002, TROP MED INT HEALTH, V7, P201 25768 NSIMBA SED, 2006, J EHNOBIOL ETHNOMEDI, V2, P5 25769 OBRIST B, 2007, IN PRESS PLOS MED 25770 PENCHANSKY R, 1981, MED CARE, V19, P127 25771 REYBURN H, 2004, BRIT MED J, V329, P1212 25772 RISHA P, 2005, MAPPING DUKA DAWA BA 25773 ROWE AK, 2005, LANCET, V366, P1026 25774 SACHS J, 2002, NATURE, V415, P680 25775 SCHELLENBERG D, 2003, T R SOC TROP MED HYG, V97, P1 25776 SCHELLENBERG JRM, 2002, POPULATION HLTH DEV, V1, P159 25777 SCHELLENBERG JRMA, 1999, T ROY SOC TROP MED H, V93, P225 25778 SCHELLENBERG JRMA, 2001, LANCET, V357, P1241 25779 SCHELLENBERG JRMA, 2004, LANCET, V364, P1583 25780 SMITH T, 1993, ACTA TROP, V54, P55 25781 SMITH T, 1994, STAT MED, V13, P2345 25782 SMITH T, 1998, AM J TROP MED HYG, V59, P252 25783 TANNER M, 1991, DIS MORTALITY SUBSAH, P286 25784 TARIMO DS, 2000, TROP MED INT HEALTH, V5, P179 25785 THOEN E, 2006, B WORLD HEALTH ORGAN, V84, P421 25786 TRAORE FN, 2005, T ROY SOC TROP MED H, V99, P403 25787 VICTORA CG, 2003, LANCET, V362, P233 25788 VICTORA CG, 2004, AM J PUBLIC HEALTH, V94, P400 25789 WEISS MG, 2001, ANTHR MED, V8, P5 25790 WHITE NJ, 1999, LANCET, V353, P1965 25791 YAMEY G, 2000, BRIT MED J, V320, P1228 25792 NR 75 25793 TC 0 25794 PU BIOMED CENTRAL LTD 25795 PI LONDON 25796 PA MIDDLESEX HOUSE, 34-42 CLEVELAND ST, LONDON W1T 4LB, ENGLAND 25797 SN 1475-2875 25798 J9 MALAR J 25799 JI Malar. J. 25800 PD JUN 29 25801 PY 2007 25802 VL 6 25803 AR 83 25804 DI ARTN 83 25805 PG 15 25806 SC Parasitology; Tropical Medicine 25807 GA 191WJ 25808 UT ISI:000248162400001 25809 ER 25810 25811 PT J 25812 AU Granebring, A 25813 Revay, P 25814 AF Granebring, Annika 25815 Revay, Peter 25816 TI Service-oriented architecture is a driver for daily decision support 25817 SO KYBERNETES 25818 LA English 25819 DT Article 25820 DE business improvement; cybernetics; management theory 25821 AB Purpose - This paper aims to explain why service-oriented business 25822 intelligence (SOBI) happened, the new development and how to make a 25823 strategy to introduce daily decision support in the retail trade. 25824 Design/methodology/approach - The diffusion of business intelligence 25825 (131) tools is operationalized on Rogers' innovation theory. 25826 Findings - The article answered the question: How to draft a BI 25827 strategy for all parts of the retail enterprise? By excellent data 25828 warehouse quality; choosing an area for common decision support; 25829 starting simply, with metrics (sale, gross margin, number of customers) 25830 to get users started and then continue the iterative process of 25831 practicing more comparing and personalized BI. 25832 Practical implications - Retailers meet a changeable world around where 25833 business decisions must be taken daily. In the retail industry, the 25834 customer's current demands control the supply of commodities, 25835 inventories and crew. Retailers have enterprise applications designed 25836 for their business processes, but also daily want to measure the 25837 performance. It is a question of from existing enterprise applications 25838 and databases design new decision processes and business flows that 25839 currently request BI data to be presented directly to operative 25840 responsible staff. 25841 Originality/value - Explains why there are attempts to combine the two 25842 broad architectural paradigms BI and service orientation. 25843 Service-oriented architecture, Bl, on line analytical processing, 25844 extract, transform and load, SOBI are discussed in detail. 25845 C1 Malardalen Univ, Sch Business, Vasteras, Sweden. 25846 RP Revay, P, Malardalen Univ, Sch Business, Vasteras, Sweden. 25847 EM peter.revay@mdh.se 25848 CR *CAS CO, 2006, HOM AB RET BUS SYST 25849 ALVESSON M, 2000, KRITISK SAMHHALLSVET 25850 AVISON D, 2001, INFORMATION TECHNOLO, V14, P28 25851 AX C, 2000, 23 ANN C EUR ACC ASS 25852 BACKLUND M, 2006, COMMUNICATION 0707 25853 BACKLUND M, 2006, COMMUNICATION 1010 25854 COVEY S, 1994, 1 THINGS 1 25855 DAVENPORT TH, 2005, AUTOMATED DECISION M 25856 GORDON S, 2005, ARCHITECTURE J, V6 25857 GRANEBRING A, 2006, ECITE 2006 C 28 29 S 25858 GRANEBRING A, 2007, MICROCAD 2007 INT SC 25859 GUMMESSON E, 1998, QUALITATIVE METHODS 25860 HOLME IM, 1997, FORSKNINGSMETODIK KV 25861 HOUGHTON R, 2004, MIS Q EXECUTIVE, V3 25862 LITTERER JA, 1973, ANAL ORG 25863 MERRIAM SB, 1998, FALLSTUDIEN SOM FORS 25864 PATEL R, 2003, FORSKNINGSMETODIKENS 25865 PRAHALAD CK, 1990, HARVARD BUS REV, V68, P79 25866 QUADDUS M, 2005, KNOWL-BASED SYST, V18, P107 25867 ROGERS EM, 2003, DIFFUSION INNOVATION 25868 RUSSELL S, 1995, ARTIFICIAL INTELLIGE 25869 SIMON H, 1965, SHAPE AUTOMATION MEN 25870 SIMON H, 1969, SCI ARTIFICIAL 25871 STROHMAIER M, 2005, E COMM TECHN WORKSH, P109 25872 SVEIBY KE, 2001, WHAT IS KNOWLEDGE MA 25873 TIDD J, 2005, MANAGING INNOVATION 25874 VERSTRAETE C, 2004, IEE MANUFACTURING EN, V83, P18 25875 WALLS J, 2004, J INFORMATION TECHNO, V6 25876 WHITEHEAD AN, 1910, PRINCIPIA MATH 25877 YIN RK, 2003, CASE STUDY RES DESIG 25878 NR 30 25879 TC 0 25880 PU EMERALD GROUP PUBLISHING LIMITED 25881 PI BRADFORD 25882 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 25883 SN 0368-492X 25884 J9 KYBERNETES 25885 JI Kybernetes 25886 PY 2007 25887 VL 36 25888 IS 5-6 25889 BP 622 25890 EP 635 25891 PG 14 25892 SC Computer Science, Cybernetics 25893 GA 189KX 25894 UT ISI:000247988900006 25895 ER 25896 25897 PT J 25898 AU Park, SH 25899 Yee, J 25900 Kim, SH 25901 Kim, YH 25902 AF Park, Seong Ho 25903 Yee, Judy 25904 Kim, Se Hyung 25905 Kim, Young Hoon 25906 TI Fundamental elements for successful performance of CT Colonography 25907 (Virtual colonoscopy) 25908 SO KOREAN JOURNAL OF RADIOLOGY 25909 LA English 25910 DT Review 25911 DE computed tomography (CT); colonography; CTC; virtual colonoscopy; review 25912 ID COMPUTED TOMOGRAPHIC COLONOGRAPHY; OPTIMIZING COLONIC DISTENSION; 25913 CONTRAST BARIUM ENEMA; AIDED POLYP DETECTION; CONVENTIONAL COLONOSCOPY; 25914 CATHARTIC PREPARATION; COLORECTAL NEOPLASIA; ASYMPTOMATIC ADULTS; 25915 NATIONAL-SURVEY; SPIRAL CT 25916 AB There are many factors affecting the successful performance of CT 25917 colonography (CTC). Adequate colonic cleansing and distention, the 25918 optimal CT technique and interpretation with using the newest CTC 25919 software by a trained reader will help ensure high accuracy for lesion 25920 detection. Fecal and fluid tagging may improve the diagnostic accuracy 25921 and allow for reduced bowel preparation. Automated carbon dioxide 25922 insufflation is more efficient and may be safer for colonic distention 25923 as compared to manual room air insufflation. CT scanning should use 25924 thin collimation of <= 3 mm with a reconstruction interval of <= 1.5 mm 25925 and a low radiation dose. There is not any one correct method for the 25926 interpretation of CTC; therefore, readers should be well-versed with 25927 both the primary 3D and 2D reviews. Polyps detected at CTC should be 25928 measured accurately and reported following the "polyp size-based" 25929 patient management system. The time-intensive nature of CTC and the 25930 limited resources for training radiologists appear to be the major 25931 barriers for implementing CTC in Korea. 25932 C1 Univ Ulsan, Coll Med, Dept Radiol, Asan Med Ctr, Seoul 138736, South Korea. 25933 Univ Ulsan, Coll Med, Res Inst Radiol, Asan Med Ctr, Seoul 138736, South Korea. 25934 Univ Calif San Francisco, San Francisco Vet Adm Med Ctr, San Francisco, CA 94121 USA. 25935 Seoul Natl Univ Hosp, Dept Radiol, Seoul 110744, South Korea. 25936 Seoul Natl Univ Hosp, Inst Radiat Med, Seoul 110744, South Korea. 25937 Seoul Natl Univ, Bundang Hosp, Dept Radiol, Songnam 468802, South Korea. 25938 RP Park, SH, Univ Ulsan, Coll Med, Dept Radiol, Asan Med Ctr, 388-1 25939 Poongnap-2Dong, Seoul 138736, South Korea. 25940 EM seongho@amc.seoul.kr 25941 CR *AM COLL RAD IM NE, ACRIN PROT 6664 25942 *NAT CANC CTR, CANC STAT 25943 *NZ MED MED DEV SA, MED DAT SHEET 25944 BOGONI L, 2005, BRIT J RADIOL, V78, S57 25945 BURLING D, 2006, EUR RADIOL, V16, P1737 25946 BURLING D, 2006, RADIOLOGY, V239, P464 25947 CALLSTROM MR, 2001, RADIOLOGY, V219, P693 25948 CHEN SC, 1999, AM J ROENTGENOL, V172, P595 25949 CHUNG DJ, 2005, AM J ROENTGENOL, V184, P98 25950 COADYFARIBORZIAN L, 2004, DIS COLON RECTUM, V47, P1247 25951 COTTON PB, 2004, JAMA-J AM MED ASSOC, V291, P1713 25952 DACHMAN AH, 1998, AM J ROENTGENOL, V171, P989 25953 DACHMAN AH, 2006, RADIOLOGY, V239, P317 25954 EHRENPREIS ED, 1996, SURG ENDOSC-ULTRAS, V10, P1022 25955 FERRUCCI JT, 2005, RADIOLOGY, V235, P13 25956 FISICHELLA V, 2006, ACTA RADIOL, V47, P231 25957 FLETCHER JG, 2002, AM J ROENTGENOL, V178, P283 25958 FLETCHER JG, 2005, CURR OPIN GASTROEN, V21, P90 25959 FLETCHER JG, 2006, RAD SOC N AM SCI ASS, P358 25960 GLICK SG, 2005, ACR PRACTICE GUIDELI, P295 25961 HALLIGAN S, 2006, GASTROENTEROLOGY, V131, P1690 25962 HOPPE H, 2004, AM J ROENTGENOL, V182, P1151 25963 HORTON KM, 2000, J COMPUT ASSIST TOMO, V24, P67 25964 HSU CW, 1998, GASTROINTEST ENDOSC, V48, P276 25965 IANNACCONE R, 2003, RADIOLOGY, V229, P775 25966 IANNACCONE R, 2004, GASTROENTEROLOGY, V127, P1300 25967 JOHNSON KT, 2006, AM J ROENTGENOL, V186, P90 25968 JUCHEMS MS, 2006, EUR RADIOL, V16, P68 25969 KAMAR M, 2004, DIS COLON RECTUM, V47, P1242 25970 KEMERINK GJ, 2001, BRIT J RADIOL, V74, P420 25971 KIM SH, 2006, CLIN RADIOL, V61, P483 25972 KIM YK, 2005, J KOREAN RADIOL SOC, V52, P15 25973 LAGHI A, 2003, EUR RADIOL, V13, P883 25974 LEFERE P, 2004, AM J ROENTGENOL, V183, P945 25975 LEFERE P, 2005, AM J ROENTGENOL, V184, P1836 25976 LEFERE P, 2006, VIRTUAL COLONOSCOPY, P35 25977 LEFERE PA, 2002, RADIOLOGY, V224, P393 25978 MACARI M, 2000, AM J ROENTGENOL, V174, P1543 25979 MANI A, 2004, J COMPUT ASSIST TOMO, V28, P318 25980 MCFARLAND EG, 2001, RADIOLOGY, V218, P375 25981 MILLER SH, 1997, AM J ROENTGENOL, V168, P959 25982 MORRIN MM, 2000, RADIOLOGY, V217, P765 25983 MORRIN MM, 2002, EUR RADIOL, V12, P525 25984 MULHALL BP, 2005, ANN INTERN MED, V142, P635 25985 NERI E, 2005, ABDOM IMAGING, V30, P694 25986 OTO A, 2003, EUR RADIOL, V13, P1657 25987 PARK SH, 2005, RADIOLOGY, V235, P495 25988 PEDERSEN BG, 2002, ACTA RADIOL, V43, P306 25989 PICKHARDT PJ, 2003, AM J ROENTGENOL, V181, P799 25990 PICKHARDT PJ, 2003, NEW ENGL J MED, V349, P2191 25991 PICKHARDT PJ, 2005, RADIOLOGY, V236, P872 25992 PICKHARDT PJ, 2006, RADIOLOGY, V239, P313 25993 RISTVEDT SL, 2003, AM J GASTROENTEROL, V98, P578 25994 ROCKEY DC, 2005, LANCET, V365, P305 25995 SEYMOUR CW, 2004, J TRAUMA, V57, P1105 25996 SHINNERS TJ, 2006, AM J ROENTGENOL, V186, P1491 25997 SOSNA J, 2006, RADIOLOGY, V239, P457 25998 SOTO JA, 2005, RADIOLOGY, V237, P26 25999 SUMMERS RM, 2000, RADIOLOGY, V216, P284 26000 SUMMERS RM, 2005, GASTROENTEROLOGY, V129, P1832 26001 TAYLOR SA, 2003, RADIOLOGY, V229, P99 26002 TAYLOR SA, 2006, RADIOLOGY, V239, P759 26003 TRIESTER SL, 2006, AM J GASTROENTEROL, V101, P189 26004 VUKASIN P, 1997, DIS COLON RECTUM, V40, P497 26005 YEE J, 2003, RADIOLOGY, V226, P653 26006 YEE J, 2005, RAD SOC N AM SCI ASS, P185 26007 YEE J, 2006, VIRTUAL COLONOSCOPY, P23 26008 YOSHIDA H, 2002, RADIOLOGY, V222, P327 26009 YOUNG BM, 2006, AM J ROENTGENOL, V186, P119 26010 ZALIS ME, 2004, IEEE T MED IMAGING, V23, P1335 26011 ZALIS ME, 2005, RADIOLOGY, V236, P3 26012 NR 71 26013 TC 0 26014 PU KOREAN RADIOLOGICAL SOC 26015 PI SEOUL 26016 PA 121-8 YANGJAE-DONG, SEOCHO-GU, SEOUL 137-130, SOUTH KOREA 26017 SN 1229-6929 26018 J9 KOREAN J RADIOL 26019 JI Korean J. Radiol. 26020 PD JUL-AUG 26021 PY 2007 26022 VL 8 26023 IS 4 26024 BP 264 26025 EP 275 26026 PG 12 26027 SC Radiology, Nuclear Medicine & Medical Imaging 26028 GA 200TN 26029 UT ISI:000248785800001 26030 ER 26031 26032 PT J 26033 AU Malla, RB 26034 Joshi, S 26035 AF Malla, Ramesh B. 26036 Joshi, Shraddha 26037 TI Resilient modulus prediction models based on analysis of LTPP data for 26038 subgrade soils and experimental verification 26039 SO JOURNAL OF TRANSPORTATION ENGINEERING-ASCE 26040 LA English 26041 DT Article 26042 AB Resilient modulus (M-R) value of a subgrade soil is the primary 26043 property needed for pavement design and analysis. It is the elastic 26044 modulus based on the recoverable strain under repeated loads, and 26045 depends on several factors including soil properties, soil type, and 26046 state of stresses. This paper presents prediction equations developed 26047 using regression analysis for six AASHTO soil types (A-1 -b, A-3, 26048 A-2-4, A-4, A-6, and A-7-6) for estimating MR. Data extracted from the 26049 Long-Term Pavement Performance Information Management System (LTPP IMS) 26050 database for 258 test specimens (approximately 3,870 MR values) 26051 collected in 19 states in New England and the nearby regions in the 26052 United States and two provinces in Canada were used in this study. A 26053 generalized constitutive model that captures the effect of both bulk 26054 stress and octahedral shear stress was used to predict the MR of 26055 subgrade soils by developing regression equations that relate the k 26056 coefficients to the soil physical properties. The prediction models 26057 developed were verified for four types of soils collected in the New 26058 England region by independent laboratory MR tests. It was observed that 26059 MR values from the prediction models compared well with the laboratory 26060 values for the majority of the soil types. 26061 C1 Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT 06269 USA. 26062 GM2 Associates Inc, Glastonbury, CT 06033 USA. 26063 RP Malla, RB, Univ Connecticut, Dept Civil & Environm Engn, 261 Glenbrook 26064 Rd,Unit 2037, Storrs, CT 06269 USA. 26065 EM mallar@engr.uconn.edu 26066 CR *AASHTO, 1993, AASHTO GUID DES PAV 26067 *NCHRP, 2003, 137A NCHRP 26068 *NCHRP, 2004, 137A NCHRP 26069 *SAS I INC, 2002, SAS 9 1 3 HELP DOC 26070 CHATTERJEE S, 1977, REGRESSION ANAL EXAM 26071 CHEN X, 2004, REGRESSION SAS UCLA 26072 GEORGE KP, 2004, RHWAMSDOTRD04172 U M 26073 LTPP IMS, 2003, LONG TERM PAV PERF I 26074 MALLA R, 2005, P 2005 JOINT ASCE AS 26075 MALLA R, 2006, NETCR57 26076 MAY RW, 1981, TRANSPORT RES REC, V810, P1 26077 MOHAMMAD LN, 1999, 1687 NAT RES COUNC T, P47 26078 MONTGOMERY D, 1992, INTRO LINEAR REGRESS 26079 RAUCH AF, 1997, EMPIRICAL METHOD PRE 26080 SANTHA BL, 1994, 1462 NAT RES COUNC T, P79 26081 SMART AL, 1999, 9610 DOT BUR PLANN T 26082 UZAN J, 1985, TRANSPORT RES REC, V1022, P52 26083 VONQUINTUS H, 1998, FHWARD97085 26084 YAU A, 2002, FHWARD02051 26085 NR 19 26086 TC 0 26087 PU ASCE-AMER SOC CIVIL ENGINEERS 26088 PI RESTON 26089 PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA 26090 SN 0733-947X 26091 J9 J TRANSP ENG-ASCE 26092 JI J. Transp. Eng.-ASCE 26093 PD SEP 26094 PY 2007 26095 VL 133 26096 IS 9 26097 BP 491 26098 EP 504 26099 PG 14 26100 SC Engineering, Civil; Transportation Science & Technology 26101 GA 201FO 26102 UT ISI:000248817100001 26103 ER 26104 26105 PT J 26106 AU Heesen, C 26107 Kasper, J 26108 Kopke, S 26109 Richter, T 26110 Segal, J 26111 Muhlhauser, I 26112 AF Heesen, C. 26113 Kasper, J. 26114 Koepke, S. 26115 Richter, T. 26116 Segal, J. 26117 Muehlhauser, I. 26118 TI Informed shared decision making in multiple sclerosis - inevitable or 26119 impossible? 26120 SO JOURNAL OF THE NEUROLOGICAL SCIENCES 26121 LA English 26122 DT Article 26123 DE informed shared decision making; evidence-based patient information; 26124 multiple sclerosis; relapse treatment; immunotherapy 26125 ID INFORMATION; RISK; AIDS; MS; PREFERENCES; DEPRESSION; ENCOUNTER; MODEL; 26126 CARE 26127 AB Patients and health authorities increasingly claim active roles in 26128 health care decision making processes. As immune therapies in MS are 26129 partially effective MS is a prototypic condition for a shared decision 26130 making process. The treatment of acute relapses and the initiation, 26131 change or withdrawal of so called disease-modifying treatments are key 26132 decisions in MS management. We developed two decision aids following 26133 the phased approach of the framework of increasing evidence for complex 26134 interventions for these key decisions. In prestudies we found that 80% 26135 of MS patients demand autonomous roles in treatment decisions which 26136 contrasts with a poor knowledge of risks. On the other hand MS patients 26137 are not disturbed by evidence-based, balanced complex information. MS 26138 patients do understand this kind of information and are able to 26139 transfer new abilities to other situations. Currently we study the 26140 effects of a 4-hour education programme on relapse management versus an 26141 information leaflet in controls in 150 MS patients. In a second trial 26142 with n=298 MS patients we study the effects of an evidence-based 26143 patient information on immunotherapy on decisional role preference and 26144 performance in the patient physician encounter. Results in early 2007 26145 will show to which extent patient education with a focus on 26146 evidence-based patient information influences participation in the 26147 decision making process. (C) 2007 Elsevier B.V. All rights reserved. 26148 C1 INIMS, Inst Neuroimmunol & Clin Multiple Sclerosis Res, D-20246 Hamburg, Germany. 26149 Univ Hamburg, Dept Hlth Sci, Hamburg, Germany. 26150 Brent Rehabil Serv, Brent PCT, London, England. 26151 RP Heesen, C, INIMS, Inst Neuroimmunol & Clin Multiple Sclerosis Res, 26152 Martinstr 52, D-20246 Hamburg, Germany. 26153 EM heesen@uke.uni-hamburg.de 26154 CR *EBSIMS, MULT CTR RAND CONTR 26155 *GEN MED COUNC, 1999, PROT PAT GUID DOCT S 26156 *ISDIMS, RAND CONTR TRIAL INV 26157 *NAT I CLIN EX, 2003, MULT SCLER MAN MULT 26158 *UK MED RES COUNC, 2000, FRAM DEV EV RCTS COM 26159 BASSETTI C, 2004, J NEUROL, V251, P1329 26160 BEKKER H, 1999, HLTH TECHNOLOGY ASSE, V3, P1 26161 BEKKER HL, 2003, PATIENT EDUC COUNS, V50, P323 26162 BRUNNER R, 2005, NEUROLOGY, V64, P335 26163 CHARLES C, 1997, SOC SCI MED, V44, P681 26164 CHARLES C, 1999, SOC SCI MED, V49, P651 26165 CHARLES C, 2005, HEALTH EXPECT, V8, P114 26166 COULTER A, 1999, BRIT MED J, V318, P318 26167 DEGNER LF, 1997, CANADIAN J NURSING R, V29, P21 26168 EDWARDS A, 2002, BRIT MED J, V324, P827 26169 ELWYN G, 2000, BRIT J GEN PRACT, V50, P892 26170 ELWYN G, 2005, HEALTH EXPECT, V8, P34 26171 ENTWISTLE VA, 2001, SOC SCI MED, V53, P721 26172 FILIPPINI G, 2003, COCHRANE LIB 26173 FILIPPINI G, 2003, LANCET, V61, P45 26174 HALVORSEN PA, 2005, ARCH INTERN MED, V165, P1140 26175 HAMANN J, 2003, ACTA PSYCHIAT SCAND, V107, P403 26176 HEESEN C, 2003, ACTA NEUROL SCAND, V107, P363 26177 HEESEN C, 2004, MULT SCLER, V10, P643 26178 JACOBS LD, 1996, ANN NEUROL, V39, P285 26179 JANSSENS ACJW, 2004, J CLIN EPIDEMIOL, V57, P180 26180 KASPER J, IN PRESS PSCHO ONCOL 26181 KASPER J, 2003, SHARED DECISION MAKI, P34 26182 KASPER J, 2005, ARZTL FORBILD QUALSI, V99, P359 26183 KASPER J, 2006, PATIENT EDUC COUNS, V62, P56 26184 KLEEBERG J, 2004, ANN NEUROL, V56, P787 26185 KOPKE S, 2004, ACTA NEUROL SCAND, V110, P1 26186 KRAETSCHMER N, 2004, HEALTH EXPECT, V7, P317 26187 KROENCKE DC, 2001, MULT SCLER, V7, P237 26188 LUHMMANN N, 1993, RISK SOCIOLOGICAL TH 26189 MAKOUL G, 2006, PATIENT EDUC COUNS, V60, P301 26190 MCNUTT RA, 2004, JAMA-J AM MED ASSOC, V292, P2516 26191 MOHR DC, 1996, MULT SCLER, V2, P222 26192 MUSHLIN AI, 1994, ARCH NEUROL-CHICAGO, V51, P67 26193 OCONNOR AM, 1999, BRIT MED J, V319, P731 26194 OCONNOR AM, 2003, BRIT MED J, V327, P736 26195 OCONNOR P, 1994, ARCH NEUROL-CHICAGO, V51, P46 26196 PROSSER LA, 2002, MED DECIS MAKING, V22, P506 26197 SELLEBJERG F, 1998, NEUROLOGY, V51, P529 26198 SIMON D, 2006, PATIENT EDUC COUNS, V63, P319 26199 STECKELBERG A, 2005, ARZTL FORTBILD QUALS, V99, P343 26200 TREMLETT HL, 1998, J NEUROL NEUROSUR PS, V65, P62 26201 TREMLETT HL, 2003, NEUROLOGY, V61, P551 26202 VICKREY BG, 2000, NEUROLOGY, V55, P1341 26203 WEBER M, 2005, MED KLIN, V100, P165 26204 WOLLIN J, 2000, INT J MS CARE, V2, P4 26205 NR 51 26206 TC 0 26207 PU ELSEVIER SCIENCE BV 26208 PI AMSTERDAM 26209 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 26210 SN 0022-510X 26211 J9 J NEUROL SCI 26212 JI J. Neurol. Sci. 26213 PD AUG 15 26214 PY 2007 26215 VL 259 26216 IS 1-2 26217 SI Sp. Iss. SI 26218 BP 109 26219 EP 117 26220 PG 9 26221 SC Clinical Neurology; Neurosciences 26222 GA 198HK 26223 UT ISI:000248617400020 26224 ER 26225 26226 PT J 26227 AU Simon, JS 26228 Rundall, TG 26229 Shortell, SM 26230 AF Simon, Jodi S. 26231 Rundall, Thomas G. 26232 Shortell, Stephen M. 26233 TI Adoption of order entry with decision support for chronic care by 26234 physician organizations 26235 SO JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 26236 LA English 26237 DT Article 26238 ID INFORMATION-TECHNOLOGY; INCREASED MORTALITY; HEALTH-CARE; 26239 IMPLEMENTATION; SYSTEMS; ERRORS; PERFORMANCE; GUIDELINES; MANAGEMENT; 26240 BARRIERS 26241 AB Objective: This study sought to explore physician organizations' 26242 adoption of chronic care guidelines in order entry systems and to 26243 investigate the organizational and market-related factors associated 26244 with this adoption. 26245 Design: A quantitative nationwide survey of all primary care medical 26246 groups in the United States with 20 or more physicians; data were 26247 collected on 1,104 physician organizations, representing a 70% response 26248 rate. 26249 Measurements: Measurements were the presence of an asthma, diabetes, or 26250 congestive heart failure guideline in a physician organization's order 26251 entry system; size; age of the organization; number of clinic 26252 locations; type of ownership; health maintenance organization market 26253 penetration; urban/rural location; and presence of external incentives 26254 to improve quality of care. 26255 Results: Only 27% of organizations reported access to order entry with 26256 decision support for chronic disease care. External incentives for 26257 quality is the only factor significantly associated with adoption of 26258 these tools. Organizations experiencing greater external incentives for 26259 quality are more likely to adopt order entry with decision support. 26260 Conclusion: Because external incentives are strong drivers of adoption, 26261 policies requiring reporting of chronic care measurements and rewarding 26262 improvement as well as financial incentives for use of specific 26263 information technology tools are likely to accelerate adoption of order 26264 entry with decision support. 26265 C1 Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94720 USA. 26266 RP Simon, JS, 1019 Hillside Ave, Deerfield, IL 60015 USA. 26267 EM jodi_sacks@yahoo.com 26268 CR *I MED, 1997, COMP BAS PAT REC ESS 26269 ASH JS, 2004, J AM MED INFORM ASSN, V11, P104 26270 AUSTIN SM, 1994, P ANN S COMP APPL ME, P121 26271 BALAS EA, 2000, ARCH INTERN MED, V160, P301 26272 BRAILER D, 2003, US ADOPTION COMPUTER 26273 CASALINO L, 2003, JAMA-J AM MED ASSOC, V289, P434 26274 DAFT R, 2004, INNOVATION CHANGE OR, P398 26275 DELBECCARO MA, 2006, PEDIATRICS, V118, P290 26276 ECCLES M, 2002, BRIT MED J, V325, P941 26277 GILLIES R, 2002, NATL STUDY PHYS ORG 26278 GILLIES RR, 2003, HLTH AFF S, V3, P492 26279 HAN YY, 2005, PEDIATRICS, V116, P1506 26280 HETLEVIK I, 2000, INT J TECHNOL ASSESS, V16, P210 26281 HUNT DL, 1998, JAMA-J AM MED ASSOC, V280, P1339 26282 JHA A, 2006, HLTH AFF MILLWOOD, V26, P496 26283 KOHN L, 1999, ERR IS HUMAN BUILDIN 26284 KOPPEL R, 2005, JAMA-J AM MED ASSOC, V293, P1197 26285 KUPERMAN GJ, 2003, ANN INTERN MED, V139, P31 26286 LOBACH DF, 1997, AM J MED, V102, P89 26287 MILLER RH, 2004, HEALTH AFFAIR, V23, P116 26288 OVERHAGE JM, 1997, J AM MED INFORM ASSN, V4, P364 26289 PHIBBS C, 2005, NO PROVEN LINK CPOE 26290 POON EG, 2004, HEALTH AFFAIR, V23, P184 26291 REED M, 2004, LIMITED INFORM TECHN 26292 RUNDALL TG, 2002, BRIT MED J, V325, P958 26293 SIMON JS, 2005, J QUALITY PATIENT SA, V31, P631 26294 WHOLEY DR, 1997, HEALTH AFFAIR, V16, P75 26295 WILLIAMS T, 2006, J MED PRACT MANAGE, V21, P301 26296 NR 28 26297 TC 0 26298 PU ELSEVIER SCIENCE INC 26299 PI NEW YORK 26300 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 26301 SN 1067-5027 26302 J9 J AMER MED INFORM ASSOC 26303 JI J. Am. Med. Inf. Assoc. 26304 PD JUL-AUG 26305 PY 2007 26306 VL 14 26307 IS 4 26308 BP 432 26309 EP 439 26310 PG 8 26311 SC Computer Science, Information Systems; Computer Science, 26312 Interdisciplinary Applications; Mathematical & Computational Biology; 26313 Information Science & Library Science; Medical Informatics 26314 GA 191AU 26315 UT ISI:000248103000008 26316 ER 26317 26318 PT J 26319 AU Monchiero, M 26320 Palermo, G 26321 Silvano, C 26322 Villa, O 26323 AF Monchiero, Matteo 26324 Palermo, Gianluca 26325 Silvano, Cristina 26326 Villa, Oreste 26327 TI Exploration of distributed shared memory architectures for NoC-based 26328 multiprocessors 26329 SO JOURNAL OF SYSTEMS ARCHITECTURE 26330 LA English 26331 DT Article 26332 DE multiprocessor systems-on-chip; network-on-chip; design space 26333 exploration; low-power design 26334 ID SYSTEMS 26335 AB Multiprocessor system-on-chip (MP-SoC) platforms represent an emerging 26336 trend for embedded multimedia applications. To enable MP-SoC platforms, 26337 scalable communication-centric interconnect fabrics, such as 26338 networks-on-chip (NoCs), have been recently proposed. The shared memory 26339 represents one of the key elements in designing MP-SoCs to provide data 26340 exchange and synchronization support. 26341 This paper focuses on the energy/delay exploration of a distributed 26342 shared memory architecture, suitable for low-power on-chip 26343 multiprocessors based on NoC. A mechanism is proposed for the data 26344 allocation on the distributed shared memory space, dynamically managed 26345 by an on-chip hardware memory management unit (HwMMU). Moreover, the 26346 exploitation of the HwMMU primitives for the migration, replication, 26347 and compaction of shared data is discussed. Experimental results show 26348 the impact of different distributed shared memory configurations for a 26349 selected set of parallel benchmark applications from the 26350 power/-performance perspective. Furthermore, a case study for a graph 26351 exploration algorithm is discussed, accounting for the effects of the 26352 core mapping and the network topology on energy and performance at the 26353 system level. (C) 2007 Elsevier B.V. All rights reserved. 26354 C1 Politecn Milan, Dipartimento Elettron & Informaz, I-20133 Milan, Italy. 26355 RP Silvano, C, Politecn Milan, Dipartimento Elettron & Informaz, I-20133 26356 Milan, Italy. 26357 EM silvano@elet.polimi.it 26358 CR ANGIOLINI F, 2003, P WORKSH COMP ARCH S, P318 26359 ARTIAGA E, 1997, UPCDAC199707 26360 BANAKAR R, 2002, P 10 INT S HARDW SOF, P73 26361 CATALANO V, 2006, 45 POL MIL 26362 CHANG JM, 1996, IEEE T COMPUT, V45, P106 26363 CHANG JM, 1999, P ICCD WORKSH HARDW, P11 26364 CHEN G, 2006, DATE 06 P C DES AUT, P931 26365 CLAUSET A, 2004, PHYS REV E, V6 26366 COPPOLA M, 2004, SPIDER NOVEL CHIP CO, P15 26367 DELALUZ V, 2002, DES AUT CON, P213 26368 DUCH J, 2005, PHYS REV E 2, V72 26369 KANDEMIR M, 2002, DES AUT CON, P219 26370 LI T, 1999, IEEE T COMPUT, V18, P1405 26371 MILUTINOVIC V, 1999, P IEEE, V87, P399 26372 MOLNOS AM, 2005, DATE 05 P C DES AUT, P932 26373 MONCHIERO M, 2006, IEEE IC SAMOS 06 P I, P144 26374 NEWMAN MEJ, 2004, EUR PHYS J B, V38, P321 26375 NEWMAN MEJ, 2004, PHYS REV E 2, V69 26376 NEWMAN MEJ, 2004, PHYS REV E 2, V69 26377 NIKOLOPOULOS DS, 2000, ICPP 00 P 2000 INT C, P95 26378 OZTRUK O, 2006, GLSVLSI 06 P 16 ACM, P386 26379 PALERMO C, 2004, LECT NOTES COMPUT SC, V3254, P521 26380 PANDE PP, 2005, IEEE T COMPUT, V54, P1025 26381 SHALAN M, 2000, CASES, P180 26382 SHALAN VJ, 2002, CODES 02 P 10 INT WO, P79 26383 SHIVAKUMAR P, 2001, CACTI 3 0 INT CACH T 26384 SINHA A, 2003, IEEE T VLSI SYST, V11, P1044 26385 SRISAAN W, 1999, WVLSI 99 P IEEE COMP, P106 26386 VONPUTTKAMER E, 1975, IEEE T COMPUTERS C, V24, P953 26387 WILSON PR, 1995, P INT WORKSH MEM MAN, P1 26388 WOO SC, 1995, P ISCA, V22, P24 26389 WUYTACK S, 1999, IEEE T COMPUT AID D, V18, P533 26390 NR 32 26391 TC 0 26392 PU ELSEVIER SCIENCE BV 26393 PI AMSTERDAM 26394 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 26395 SN 1383-7621 26396 J9 J SYST ARCHITECT 26397 JI J. Syst. Architect. 26398 PD OCT 26399 PY 2007 26400 VL 53 26401 IS 10 26402 SI Sp. Iss. SI 26403 BP 719 26404 EP 732 26405 PG 14 26406 SC Computer Science, Hardware & Architecture 26407 GA 198DT 26408 UT ISI:000248607900005 26409 ER 26410 26411 PT J 26412 AU Mehta, AM 26413 Smith, J 26414 Siegel, HJ 26415 Maciejewski, AA 26416 Jayaseelan, A 26417 Ye, B 26418 AF Mehta, Ashish M. 26419 Smith, Jay 26420 Siegel, H. J. 26421 Maciejewski, Anthony A. 26422 Jayaseelan, Arun 26423 Ye, Bin 26424 TI Dynamic resource allocation heuristics that manage tradeoff between 26425 makespan and robustness 26426 SO JOURNAL OF SUPERCOMPUTING 26427 LA English 26428 DT Article 26429 DE resource management; robustness; dynamic mapping; makespan; resource 26430 allocation 26431 ID DISTRIBUTED COMPUTING SYSTEMS; INDEPENDENT TASKS; PROCESSORS 26432 AB Heterogeneous parallel and distributed computing systems may operate in 26433 an environment where certain system performance features degrade due to 26434 unpredictable circumstances. Robustness can be defined as the degree to 26435 which a system can function correctly in the presence of parameter 26436 values different from those assumed. This work develops a model for 26437 quantifying robustness in a dynamic heterogeneous computing environment 26438 where task execution time estimates are known to contain errors. This 26439 mathematical expression of robustness is then applied to two different 26440 problem environments. Several heuristic solutions to both problem 26441 variations are presented that utilize this expression of robustness to 26442 influence mapping decisions. 26443 C1 Colorado State Univ, Dept Comp Sci, Ft Collins, CO 80523 USA. 26444 IBM Corp, Boulder, CO 80301 USA. 26445 Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA. 26446 RP Siegel, HJ, Colorado State Univ, Dept Comp Sci, Ft Collins, CO 80523 26447 USA. 26448 EM ammehta@engr.colostate.edu 26449 bigfun@us.ibm.com 26450 hj@engr.colostate.edu 26451 aam@engr.colostate.edu 26452 arun@engr.colostate.edu 26453 binye@engr.colostate.edu 26454 CR ALI S, 2000, TAMKANG J SCI ENG, V3, P195 26455 ALI S, 2002, UTILIZATION BASED TE, P5 26456 ALI S, 2004, IEEE T PARALL DISTR, V15, P630 26457 ALI S, 2005, ADV COMPUT, V63, P91 26458 BANICESCU I, 2001, 10 IEEE HET COMP WOR 26459 BARADA H, 2001, 10 IEEE HET COMP WOR 26460 BEAN JC, 1991, OPER RES, V39, P470 26461 BRAUN TD, 2001, J PARALLEL DISTR COM, V61, P810 26462 CASTAIN R, 2004, 13 HET COMP WORKSH H 26463 COFFMAN EG, 1976, COMPUTER JOB SHOP SC 26464 DANIELS RL, 1997, IIE TRANS, V29, P977 26465 ESHAGHIAN MM, 1996, HETEROGENEOUS COMPUT 26466 FERNANDEZBACA D, 1989, IEEE T SOFTWARE ENG, V15, P1427 26467 FOSTER I, 1999, GRID BLUEPRINT NEW C 26468 FREUND RF, 1993, IEEE COMPUT, V26, P13 26469 GHAFOOR A, 1993, IEEE COMPUT, V26, P78 26470 IBARRA OH, 1977, J ASSOC COMPUT MACH, V24, P280 26471 KAFIL M, 1998, IEEE CONCURR, V6, P42 26472 KHOKHAR AA, 1993, IEEE COMPUT, V26, P18 26473 KIM JK, 2003, 12 HET COMP WORKSH H 26474 LEANGSUKSUN C, 1995, 4 IEEE HET COMP WORK, P30 26475 LEON VJ, 1994, IIE TRANS, V26, P32 26476 LUH PB, 2000, IEEE T ROBOTIC AUTOM, V16, P78 26477 MAHESWARAN M, 1999, ENCY ELECT ELECT ENG, V8, P679 26478 MICHALEWICZ Z, 2000, SOLVE MODERN HEURIST 26479 NAIK VK, 2003, 4 INT WORKSH GRID CO 26480 POLICELLA N, 2005, THESIS U DEGLI STUDI 26481 SHIVLE S, 2006, J PARALLEL DISTR COM, V66, P600 26482 SINGH H, 1996, 5 IEEE HET COMP WORK, P86 26483 SUGAVANAM P, IN PRESS J PARALLEL 26484 WU MY, 2000, 9 IEEE HET COMP WORK, P375 26485 XU D, 2001, CLUSTER COMPUT, V4, P95 26486 YANG J, 1993, INT C PAR PROC AUG, P219 26487 YARMOLENKO V, 2000, IEEE INT WORKSH PAR, P437 26488 NR 34 26489 TC 0 26490 PU SPRINGER 26491 PI DORDRECHT 26492 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 26493 SN 0920-8542 26494 J9 J SUPERCOMPUT 26495 JI J. Supercomput. 26496 PD OCT 26497 PY 2007 26498 VL 42 26499 IS 1 26500 BP 33 26501 EP 58 26502 PG 26 26503 SC Computer Science, Hardware & Architecture; Computer Science, Theory & 26504 Methods; Engineering, Electrical & Electronic 26505 GA 202MV 26506 UT ISI:000248906800004 26507 ER 26508 26509 PT J 26510 AU Castain, RH 26511 Squyres, JM 26512 AF Castain, Ralph H. 26513 Squyres, Jeffrey M. 26514 TI Creating a transparent, distributed, and resilient computing 26515 environment: the OpenRTE project 26516 SO JOURNAL OF SUPERCOMPUTING 26517 LA English 26518 DT Article 26519 DE fault tolerance; runtime systems; resilience; distributed computing 26520 ID PERFORMANCE; MANAGEMENT; SYSTEMS 26521 AB Meeting the future computing needs of the scientific community will 26522 likely require the development of petascale computing environments 26523 based on the integration of significant numbers of processors into 26524 large-scale clusters, and the (possibly heterogeneous) aggregation of 26525 multiple clusters for use by individual and/or synchronized 26526 applications. Despite the best of efforts, such complex systems dictate 26527 that applications must expect to encounter failures of their computing 26528 resources and/or networks during the course of execution. 26529 The Open Run-Time Environment (OpenRTE) has been designed to support 26530 high-performance computing applications in such environments. Gaining 26531 acceptance by the user community requires that OpenRTE not only meet 26532 basic functional requirements, but must also provide users with (a) a 26533 transparent interface that avoids the need to customize applications 26534 when moving between specific computing and/or communication resources; 26535 (b) effective strategies that can be selected at run-time for dealing 26536 with faults; (c) transparent support for inter-process communication, 26537 resource discovery and allocation, and process launch across a variety 26538 of platforms; and (d) the ability to launch their applications remotely 26539 from their desktop, disconnect from them, and reconnect at a later time 26540 to monitor progress. 26541 This paper provides an updated description of OpenRTE and discusses its 26542 relation to the current grid protocols. In addition, we introduce the 26543 concept of resilient computing-a next-generation approach to fault 26544 tolerance-and describe how OpenRTE will utilize this concept in the 26545 future. 26546 C1 Los Alamos Natl Lab, Los Alamos, NM 87544 USA. 26547 Cisco Syst Inc, San Jose, CA 95134 USA. 26548 RP Castain, RH, Los Alamos Natl Lab, POB 1663, Los Alamos, NM 87544 USA. 26549 EM rhc@lanl.gov 26550 CR ALI S, 2004, IEEE T PARALL DISTR, V15, P630 26551 AULWERS RT, 2004, 18 INT PAR DISTR PRO 26552 BERRY PM, 1993, IEE COMPUTING CONTRO 26553 BURNS G, 1994, P SUP S, P379 26554 CASTAIN RH, 2005, P 12 EUR PVM MPI US 26555 FAGG GE, 2002, FUTURE GENER COMP SY, V18, P1127 26556 FOSTER I, 1997, INT J SUPERCOMPUT AP, V11, P115 26557 FOSTER I, 2002, OPEN GRID SERVICE IN 26558 GABRIEL E, 2004, P 11 EUR PVM MPI US 26559 GROPP W, 1996, PARALLEL COMPUT, V22, P789 26560 KIM D, 2004, IEEE T COMPUT, V53, P288 26561 KISTLER M, 2004, IEEE T PARALL DISTR, V16, P885 26562 KRONSTADT EP, 2005, 19 IEEE INT PAR DIST 26563 KWOK YK, 2006, J PARALLEL DISTR COM, V66, P77 26564 MORRISON JP, 1999, P INT C PAR DISTR PR 26565 MORRISON JP, 2004, NEURAL SCI PARALLEL, V12, P419 26566 SHEPPARD JW, 2005, IEEE T INSTRUM MEAS, V54, P1003 26567 SQUYRES JM, 2003, 10 EUROPEAN PVM MPI 26568 SQUYRES JM, 2004, 18 ACM INT C SUP WOR 26569 TILEVICH E, 2004, P EUR C OBJ OR PROGR 26570 VICHARE NM, 2006, IEEE T COMPON PACK T, V29, P222 26571 WATSON GR, 2005, STRAGEGY ADDRESSING 26572 YOO AB, 2003, LECT NOTES COMPUT SC, V2862, P44 26573 NR 23 26574 TC 0 26575 PU SPRINGER 26576 PI DORDRECHT 26577 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 26578 SN 0920-8542 26579 J9 J SUPERCOMPUT 26580 JI J. Supercomput. 26581 PD OCT 26582 PY 2007 26583 VL 42 26584 IS 1 26585 BP 107 26586 EP 123 26587 PG 17 26588 SC Computer Science, Hardware & Architecture; Computer Science, Theory & 26589 Methods; Engineering, Electrical & Electronic 26590 GA 202MV 26591 UT ISI:000248906800007 26592 ER 26593 26594 PT J 26595 AU Kurzyniec, D 26596 Slawinska, M 26597 Slawinski, J 26598 Sunderam, V 26599 AF Kurzyniec, Dawid 26600 Slawinska, Magdalena 26601 Slawinski, Jaroslaw 26602 Sunderam, Vaidy 26603 TI Unibus: a contrarian approach to grid computing 26604 SO JOURNAL OF SUPERCOMPUTING 26605 LA English 26606 DT Article 26607 DE resource sharing; virtualization; aggregation; grids; MPI 26608 AB Despite maturing in many ways, heterogeneous distributed computing 26609 platforms continue to require substantial effort in terms of software 26610 installation and management for efficient use, often necessitating 26611 manual intervention by resource providers and end-users. In this paper 26612 we propose a novel model of resource sharing that is a viable 26613 alternative to that commonly adopted in the grid community. Our model, 26614 termed Unibus, shifts the resource virtualization and aggregation 26615 responsibilities to the software at the client side, taking these 26616 burdens away from resource providers. Drawing from parallels with 26617 operating systems, we argue that distributed resources may be unified 26618 and aggregated at the user's end, in a manner similar to ordinary 26619 peripheral devices. Running on the user's access device, the overlay 26620 system software can virtualize remote resources via dynamically 26621 deployed software mediators analogous to device drivers, reconfiguring 26622 the resources if necessary via "firmware" modules. To illustrate the 26623 feasibility of the Unibus model, we have prototyped a development 26624 toolkit automating the installation, build, run, and post-processing 26625 stages of MPI applications. Through the provided console, this toolkit 26626 can deploy and configure an MPI execution environment across a set of 26627 heterogeneous, isolated distributed resources, turning them into a 26628 coherent virtual machine with a single interface point. We conducted a 26629 series of experiments with the NAS Parallel Benchmarks. Results 26630 indicate that the toolkit preserves the application performance of 26631 "bare" MPI, while substantially reducing maintenance and configuration 26632 efforts. Overall, the results suggest that the envisioned client side 26633 overlay model for resource sharing may potentially be able to address 26634 some of long-standing obstacles in building heterogeneous HPC systems. 26635 C1 Emory Univ, Dept Math & Comp Sci, Atlanta, GA 30322 USA. 26636 RP Kurzyniec, D, Emory Univ, Dept Math & Comp Sci, 400 Dowman Dr, Atlanta, 26637 GA 30322 USA. 26638 EM dawidk@mathcs.emory.edu 26639 magg@mathcs.emory.edu 26640 jaross@mathcs.emory.edu 26641 vss@mathcs.emory.edu 26642 CR 2006, BIOMEDICAL INFORM RE 26643 2006, ENABLING SCI DISCOVE 26644 *IBM, 2006, PRACT AUT COMP ROADM 26645 *INT ENG TASK FORC, 2006, 4254 RFC CONN PROT 26646 *NASA, NASA ADV SUP NAS DIV 26647 *NAT I ENV HLTH SC, US NAT I HLTH 26648 *OP GRID PORT, 2006, OP GRID PORT PORTL G 26649 ABRAMSON D, 2000, P INT PAR DISTR PROC, P520 26650 ARJAV GB, 2005, IEEE T SYST MAN CY A, V35, P373 26651 CHELIOTIS G, 2003, GRID EC 10 LESSONS F, V2 26652 CHIN J, 2004, TRACTABLE TOOLKITS G 26653 CZAJKOWSKI K, 1998, P IPPS SPDP 98 WORKS, P62 26654 DUBOIS PF, 2003, COMPUT SCI ENG, V5, P83 26655 FAGG G, 2004, P ISC2004 HEID GERM 26656 FOX G, 2003, GRID COMPUTING OVERV, P541 26657 GRIMSHAW AS, 2004, IBM J RES DEV, P48 26658 GUO Y, 2005, ACM IEEE SC 2005 C 26659 HAN J, 2003, P 3 INT C PEER PEER, P168 26660 JURCZYK P, 2004, CRACK GRID WORKSH 20 26661 KAMINSKY M, 2004, P 2004 USENIX ANN TE, P199 26662 KUMFERT GK, 2002, SOFTWARE DOE HIDDEN 26663 KURZYNIEC D, 2003, PARALLEL PROCESSING, V13, P273 26664 MUTHITACHAROEN A, 2002, P 5 S OP SYST DES IM, P31 26665 ONG E, 2001, LNCS, V2131 26666 SATYANARAYANAN M, 2002, ACM T COMPUT SYST, V20, P85 26667 WALKER E, 2004, P INT C COMP COMM CO, P182 26668 WERNER JC, SUCCEED USING GRID H 26669 WONG FC, 1999, P 1999 ACM IEEE C SU 26670 YALAGANDULA P, 2002, P 6 INT WORKSH OBJ O, P34 26671 YURKIEWICZ K, 2005, SCI GRID SYMMETRY, V2 26672 NR 30 26673 TC 0 26674 PU SPRINGER 26675 PI DORDRECHT 26676 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 26677 SN 0920-8542 26678 J9 J SUPERCOMPUT 26679 JI J. Supercomput. 26680 PD OCT 26681 PY 2007 26682 VL 42 26683 IS 1 26684 BP 125 26685 EP 144 26686 PG 20 26687 SC Computer Science, Hardware & Architecture; Computer Science, Theory & 26688 Methods; Engineering, Electrical & Electronic 26689 GA 202MV 26690 UT ISI:000248906800008 26691 ER 26692 26693 PT J 26694 AU Chafetz, RS 26695 Mulcahey, MJ 26696 Betz, RR 26697 Anderson, C 26698 Vogel, LC 26699 Gaughan, JP 26700 O'Del, MA 26701 Flanagan, A 26702 McDonald, CM 26703 AF Chafetz, Ross S. 26704 Mulcahey, Mary Jane 26705 Betz, Randal R. 26706 Anderson, Caroline 26707 Vogel, Lawrence C. 26708 Gaughan, John P. 26709 O'Del, Mary Ann 26710 Flanagan, Ann 26711 McDonald, Craig M. 26712 TI Impact of prophylactic thoracolumbosacral orthosis bracing on 26713 functional activities and activities of daily living in the pediatric 26714 spinal cord injury population 26715 SO JOURNAL OF SPINAL CORD MEDICINE 26716 LA English 26717 DT Article 26718 DE spinal cord injuries; scoliosis; child; adolescence; bracing; 26719 paraplegia; tetraplegia; activities of daily living; orthosis 26720 ID MILD IDIOPATHIC SCOLIOSIS; CHILDREN; DEFORMITY; MYELOMENINGOCELE; 26721 ADOLESCENTS 26722 AB Background/Objective: The purpose of this study is to assess the impact 26723 of a thoracolumbosacral orthosis (TLSO) on children with spinal cord 26724 injuries (SCI) in terms of functional independence and time 26725 requirements for performance of functional activities and to ascertain 26726 the children's preference for TLSO use. 26727 Methods: Fourteen subjects with thoracic SCI, ages 6 to 14 years, were 26728 studied. All subjects had previously been prescribed and were using a 26729 TLSO to prevent the progression of scoliosis. Functional activities 26730 included in the Functional Independence Measure and 6 additional 26731 wheelchair and transfer skills were scored by level of assistance 26732 required. The timed motor test (TMT) included 6 activities involving 26733 dressing, transfers, and wheelchair propulsion. Subjects completed the 26734 activities of the functional activities scale (FAS) and TMT while 26735 wearing a TLSO and without a TLSO. Subjects were asked their preference 26736 for wearing or not wearing the TLSO during each of the activities. 26737 Results: For the TMT, subjects were slower with a TLSO when donning a 26738 shirt or pants, with even and uneven transfers and hallway propulsion 26739 (P < 0.05). The majority of subjects preferred not wearing the TLSO 26740 during the TMT activities. Lower functional activity scores were 26741 recorded while wearing a TLSO for upper-extremity dressing (P < 0.05), 26742 lower-extremity dressing, bladder management, transferring to bed, and 26743 reaching for objects on the floor. Subjects preferred not wearing a 26744 TLSO for the following activities: lower-extremity dressing, bladder 26745 management, reaching for an object on the floor, and transfer from a 26746 supine to a sitting position. 26747 Conclusions: Wearing a TLSO adversely affected independence level and 26748 time requirements for selected functional activities. Subjects 26749 preferred not wearing a TLSO while performing the activities. 26750 Activities that required hip flexion, such as donning pants or 26751 transitioning from a supine to a sitting position were restricted by 26752 the TLSO. Future studies with larger sample sizes should explore the 26753 relationships between functioning with a TLSO as related to a patient's 26754 age, level of injury, and TLSO design. 26755 C1 Shriners Hosp Children, Philadelphia, PA 19140 USA. 26756 Shriners Hosp Children, Chicago, IL USA. 26757 Temple Univ, Philadelphia, PA 19122 USA. 26758 Shriners Hosp Children Northern Calif, Sacramento, CA USA. 26759 RP Chafetz, RS, Shriners Hosp Children, 3551 N Broad St, Philadelphia, PA 26760 19140 USA. 26761 EM rchafetz@shrinenet.org 26762 CR BERGSTROM EMK, 1999, SPINAL CORD, V37, P838 26763 BETZ RR, 1997, J SPINAL CORD MED, V20, P14 26764 BETZ RR, 2001, PEDIAT SPINE PRINCIP, P601 26765 BROWN H, 1973, J BONE JOINT SURG AM, V55, P441 26766 BROWN JC, 1984, J PEDIATR ORTHOPED, V4, P456 26767 CHAFETZ R, 2004, J SPINAL CORD MED S1, V27, S38 26768 CLAYSON D, 1987, SPINE, V12, P983 26769 DEAROLF WW, 1990, J PEDIATR ORTHOPED, V10, P214 26770 DRUMMOND D, 1985, J PEDIATR ORTHOPED, V5, P396 26771 FALLSTROM K, 1986, SPINE, V11, P756 26772 HADLEY MN, 1988, J NEUROSURG, V68, P18 26773 HUNTER L, 2006, 13 INT M ADV SPIN TE 26774 KENNEDY JD, 1987, THORAX, V42, P959 26775 KENNEDY JD, 1989, THORAX, V44, P548 26776 KEWALRAMANI LS, 1980, PARAPLEGIA, V18, P206 26777 KILLFOYLE R, 1965, J BONE JOINT SURG AM, V47, P659 26778 LANCOURT JE, 1981, J BONE JOINT SURG AM, V63, P47 26779 LUBICKY JP, 1996, CHILD SPINAL CORD IN, P363 26780 MAYFIELD JK, 1981, J BONE JOINT SURG AM, V63, P1401 26781 MCCARTHY JJ, 2004, J SPINAL CORD MED S1, V27, S80 26782 MCCARTHY JJ, 2006, ORTHOP CLIN N AM, V37, P197 26783 MEHTA S, 2004, J SPINAL CORD MED S1, V27, S88 26784 MILLER F, 1996, CHILD SPINAL CORD IN, P353 26785 MULLER EB, 1992, ACTA PAEDIATR, V81, P173 26786 MULLER EB, 1992, ACTA PAEDIATR, V81, P925 26787 MULLER EB, 1994, SPINE, V19, P151 26788 NOBLEJAMIESON CM, 1986, ARCH DIS CHILD, V61, P178 26789 NOBUNAGA AI, 1999, ARCH PHYS MED REHAB, V80, P1372 26790 OLAFSSON Y, 1999, J PEDIATR ORTHOPED, V19, P376 26791 SHAKHAZIZIAN KA, 2001, PHYS THERAPY CHILDRE, P571 26792 WINTER RB, 1987, MOES TXB SCOLLOSIS S, P307 26793 NR 31 26794 TC 0 26795 PU AMER PARAPLEGIA SOC 26796 PI JACKSON HWIGHTS 26797 PA 75-20 ASTORIA BLVD, JACKSON HWIGHTS, NY 11370-1177 USA 26798 SN 1079-0268 26799 J9 J SPINAL CORD MED 26800 JI J. Spinal Cord. Med. 26801 PY 2007 26802 VL 30 26803 SU Suppl. 1 26804 BP S178 26805 EP S183 26806 PG 6 26807 SC Clinical Neurology 26808 GA 203DO 26809 UT ISI:000248955500029 26810 ER 26811 26812 PT J 26813 AU McLain, DL 26814 Jarrell, KA 26815 AF McLain, David L. 26816 Jarrell, Kimberly A. 26817 TI The perceived compatibility of safety and production expectations in 26818 hazardous occupations 26819 SO JOURNAL OF SAFETY RESEARCH 26820 LA English 26821 DT Article 26822 DE safety; job design; trust; performance; risk 26823 ID ORGANIZATIONAL-CLIMATE; JOB DEMANDS; PERFORMANCE; BEHAVIOR; WORK; RISK; 26824 MANAGEMENT; TRUST; PERCEPTIONS; PREDICTORS 26825 AB Introduction: Safety hazards are unavoidable in many work environments. 26826 Employees must be both productive and safe, however, conflicting safety 26827 and production demands can negatively affect safety, production, or 26828 both. The employee's perception of the compatibility of management's 26829 safety and production expectations is a possible predictor of such 26830 consequences. This paper defines "safety-production compatibility" and 26831 describes how measures of safety-production compatibility, as well as 26832 safety pressure and production pressure, were developed. Method: We 26833 used LISREL structural equation modeling to test the influences of 26834 safety-production compatibility, safety pressure, and production 26835 pressure on safe work behavior and interference with performing other 26836 work tasks. The 239 study participants were workers employed in diverse 26837 but hazardous occupations. Results: Pressure to work safely was 26838 positively associated with safe work behavior. The perceived 26839 compatibility of safety and production demands positively influenced 26840 safe work behavior and reduced the interference of safety hazards 26841 performing other tasks. Safety-production compatibility was also found 26842 to mediate the relationship between trust in management and safe work 26843 behavior. Conclusions: The results of this field study suggest 26844 increased compatibility, and thus less conflict, between safety and 26845 production demands influences safe work behavior and the interference 26846 of safety hazards with performing other work tasks. More broadly, the 26847 worker's reaction to multiple work demands is a safety and performance 26848 influence. Impact on Industry: Safety management efforts that focus 26849 only on the hazards fail to eliminate many accidents because accidents 26850 arise from many factors including technology, safety climate, social 26851 influences, production, and safety demands. This study suggests that 26852 workers differ in their perception of the compatibility of safety and 26853 production demands. These differences will show up in safe work 26854 behavior, influencing the effectiveness of safety management efforts 26855 and the trust workers have in management's concern for safety. (c) 2007 26856 National Safety Council and Elsevier Ltd. All rights reserved. 26857 C1 SUNY Coll Technol Utica Rome, Inst Technol, Sch Business, Utica, NY 13504 USA. 26858 RP McLain, DL, SUNY Coll Technol Utica Rome, Inst Technol, Sch Business, 26859 POB 3050, Utica, NY 13504 USA. 26860 EM mclaind@sunyit.edu 26861 CR ANDERSON JC, 1987, J MARKETING RES, V24, P432 26862 BAKKER AB, 2005, J APPL PSYCHOL, V90, P170 26863 BARON MM, 1999, IEEE T ENG MANAGE, V46, P87 26864 BOOMSMA A, 1982, SYSTEMS INDIRECT O 1, P149 26865 BROWN KA, 2000, J OPER MANAG, V18, P445 26866 BROWN SP, 2005, J APPL PSYCHOL, V90, P972 26867 BUTLER JK, 1991, J MANAGE, V17, P642 26868 CARTWRIGHT S, 1997, MANAGING WORKPLACE S 26869 COOPER CL, 1985, JOB STRESS BLUE COLL 26870 COX S, 2004, SAFETY SCI, V42, P825 26871 DAS TK, 2001, ORGAN STUD, V22, P251 26872 DEPASQUALE JP, 1999, J SAFETY RES, V30, P237 26873 DEUTSCH M, 1958, J CONFLICT RESOLUT, V2, P265 26874 DIRKS KT, 2002, J APPL PSYCHOL, V87, P611 26875 DORNHEIM MA, 2000, AVIATION WEEK SPACE, V153, P58 26876 EMBREY DE, 1992, RELIAB ENG SYST SAFE, V38, P199 26877 EREZ M, 1990, ORGAN BEHAV HUM, V47, P247 26878 FREUDENBURG WR, 1993, SOC FORCES, V71, P909 26879 FRONE MR, 1998, J APPL PSYCHOL, V83, P565 26880 GRIMALDI JV, 1989, WORK REDESIGN 26881 HARVEY S, 2003, J OCCUP HEALTH, V8, P306 26882 HEMINGWAY MA, 1999, J OCCUP ORGAN PSYC 3, V72, P285 26883 HOFMANN DA, 1996, PERS PSYCHOL, V49, P307 26884 HOFMANN DA, 2003, J APPL PSYCHOL, V88, P170 26885 JANSSENS M, 1995, ACAD MANAGE J, V38, P364 26886 JERMIER JM, 1989, J ORGAN BEHAV, V10, P15 26887 KARASEK R, 1990, HEALTHY WORK STRESS 26888 KARASEK RA, 1979, ADM SCI Q, V24, P285 26889 KLINE RB, 1998, PRINCIPLES PRACTICE 26890 KRAMER RM, 1996, TRUST ORG FRONTIERS 26891 KRAUSE TR, 1999, SAFETY SCI, V32, P1 26892 LEVESON N, 1995, SAFEWARE SYSTEM SAFE 26893 LOCKE EA, 1994, J MANAGE, V20, P67 26894 MAYER RC, 2005, ACAD MANAGE J, V48, P874 26895 MCLAIN DL, 1991, THESIS U WISCONSIN M 26896 MCLAIN DL, 1995, ACAD MANAGE J, V38, P1726 26897 MURPHY LR, 1986, J BUSINESS PSYCHOL, V1, P5 26898 NEAL A, 2000, SAFETY SCI, V34, P99 26899 NELKIN D, 1984, WORKERS RISK VOICES 26900 ODRISCOLL MP, 1996, PSYCHOL WORK, P188 26901 OTOOLE M, 2002, J SAFETY RES, V33, P231 26902 OXLEY JA, 2005, ACCIDENT ANAL PREV, V37, P962 26903 PARKER SK, 1999, J APPL PSYCHOL, V84, P925 26904 PARKER SK, 2001, J OCCUP HEALTH, V6, P211 26905 PERROW C, 1984, NORMAL ACCIDENTS LIV 26906 PROBST TM, 2002, J OCCUP HEALTH, V7, P211 26907 REASON J, 1990, HUMAN ERROR 26908 REASON J, 1998, J OCCUP ORGAN PSYC 4, V71, P289 26909 REASON J, 2000, WESTERN J MED, V172, P393 26910 RECARTE MA, 2003, J EXP PSYCHOL-APPL, V9, P119 26911 ROBERTS KH, 1990, ORGAN SCI, V1, P160 26912 ROBERTS KH, 2001, ACAD MANAGE EXEC, V15, P70 26913 SIEGEL PA, 2005, J APPL PSYCHOL, V90, P13 26914 SLOCUM JW, 2002, J LEADERSHIP ORG STU, V9, P77 26915 SLOVIC P, 1993, RISK ANAL, V13, P675 26916 TUBRE TC, 2000, J MANAGE, V26, P155 26917 TYLER TR, 1996, TRUST ORG FRONTIERS 26918 ULLEBERG P, 2003, SAFETY SCI, V41, P427 26919 WEICK KE, 1990, J MANAGE, V16, P571 26920 WIDAMAN KF, 1985, APPL PSYCH MEAS, V9, P1 26921 WILLIAMS LJ, 1989, J APPL PSYCHOL, V74, P462 26922 WRIGHT C, 1986, SOCIOL REV, P265 26923 ZACHARATOS A, 2005, J APPL PSYCHOL, V90, P77 26924 ZOHAR D, 1980, J APPL PSYCHOL, V65, P96 26925 ZOHAR D, 2000, J APPL PSYCHOL, V85, P587 26926 ZOHAR D, 2004, J APPL PSYCHOL, V89, P322 26927 NR 66 26928 TC 0 26929 PU PERGAMON-ELSEVIER SCIENCE LTD 26930 PI OXFORD 26931 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 26932 SN 0022-4375 26933 J9 J SAFETY RES 26934 JI J. Saf. Res. 26935 PY 2007 26936 VL 38 26937 IS 3 26938 BP 299 26939 EP 309 26940 PG 11 26941 SC Ergonomics; Public, Environmental & Occupational Health; Social 26942 Sciences, Interdisciplinary; Transportation 26943 GA 193CJ 26944 UT ISI:000248251000005 26945 ER 26946 26947 PT J 26948 AU Lee, BJ 26949 Lee, JG 26950 Kim, YH 26951 AF Lee, Bong-Ju 26952 Lee, Jung-Goo 26953 Kim, Young-Hoon 26954 TI A 12-week, double-blind, ptacebo-controlled trial of donepezil as an 26955 adjunct to haloperidol for treating cognitive impairments in patients 26956 with chronic schizophrenia 26957 SO JOURNAL OF PSYCHOPHARMACOLOGY 26958 LA English 26959 DT Article 26960 DE donepezil; cognition; schizophrenia 26961 ID PERFORMANCE; RISPERIDONE; MEMORY 26962 AB To study the effects of acetylchohnesterase inhibitors (AChEIs) in the 26963 management of cognitive impairments in patients with schizophrenia, we 26964 investigated the effects of 12 weeks of adjunctive therapy with 26965 donepezil on their cognitive impairments. 26966 Twenty-four subjects stabilized on hatoperichot treatment (5-30mg/day) 26967 for a minimum of 3 months were entered into a doubleblind, 26968 placebo-controlled trial of donepezil as an adjunctive treatment. 26969 Subjects were randomly assigned under double-blind conditions to 26970 receive either 5 mg/day donepezil (N = 12) or placebo (N= 12) for 12 26971 weeks. The subjects were evaluated at baseline, and after 4, 8, and 12 26972 weeks using the Korean version of Mini Mental State Examination 26973 (K-MMSE), Brief Psychiatric Rating Scale (BPRS), and standard 26974 neuropsychological assessment. 26975 The K-MMSE scores improved significantly (p < 0.05) but the BPRS scores 26976 did not improve significantly in patients given chonepezil; subjects 26977 showed slight improvement in several cognitive measures. At the end of 26978 the study, the difference in the mean K-MMSE scores between the 26979 donepezit and placebo groups approached statistical significance (p = 26980 0.056). Of the several domains of cognitive functions assessed, verbal 26981 recognition and visual recall memory improved significantly (p <0.05). 26982 But donepezil did not affect scores in the executive function tests. 26983 Our findings support a potential positive effect of AChEIs in the 26984 management of cognitive impairments in patients with chronic 26985 schizophrenia. Further studies with large subjects are needed to 26986 confirm our findings. 26987 C1 Inje Univ, Sch Med, Dept Psychiat, Pusan 614735, South Korea. 26988 Inje Univ, Paik Inst Clin Res, Pusan 614735, South Korea. 26989 Dong Suh Mental Hosp, Dept Psychiat, Masan, South Korea. 26990 RP Kim, YH, Inje Univ, Sch Med, Dept Psychiat, 633-165,Gaegum Dong, Pusan 26991 614735, South Korea. 26992 EM npkyh@chol.com 26993 CR BLYLER CR, 2000, COGNITION SCHIZOPHRE, P241 26994 BRANDT J, 1991, CLIN NEUROPSYCHOL, V5, P125 26995 BROCKS A, 1998, BIOL PSYCHIAT, V43, P408 26996 BUCHANAN RW, 2003, SCHIZOPHR RES, V59, P29 26997 CROOK JM, 2000, BIOL PSYCHIAT, V48, P381 26998 CROWE SF, 1998, J CLIN EXP NEUROPSYC, V20, P391 26999 CUESTA MJ, 1998, SCHIZOPHR RES, V33, P141 27000 DAVIES R, 1999, P 7 INT KIMB C, V1, P148 27001 FREEDMAN R, 1995, BIOL PSYCHIAT, V38, P22 27002 FREUDENREICH O, 2005, PSYCHOPHARMACOL 0319 27003 FRIEDMAN JI, 1999, BIOL PSYCHIAT, V45, P1 27004 FRIEDMAN JI, 2002, BIOL PSYCHIAT, V51, P349 27005 FUREY ML, 2000, SCIENCE, V290, P2315 27006 GOLDBERG TE, 1995, PSYCHOPHARMACOLOGY 4, P1245 27007 GREEN MF, 1996, AM J PSYCHIAT, V153, P321 27008 KANG Y, 1997, J KOREAN NEUROL ASS, V15, P300 27009 KARSON CN, 1996, MOL CHEM NEUROPATHOL, V29, P181 27010 KEEFE RSE, 1999, SCHIZOPHRENIA BULL, V25, P201 27011 LEONARD S, 1996, SCHIZOPHRENIA BULL, V22, P431 27012 MITRUSHINA M, 1995, AGING, V7, P123 27013 MOERING RG, 2004, ARCH CLIN NEUROPSYCH, V19, P61 27014 PARK JH, 1991, INT J GERIATR PSYCH, V6, P875 27015 PARKS MM, 1990, DUANES CLIN OPHTHALM, V1, P1 27016 POULTON RG, 1995, ARCH CLIN NEUROPSYCH, V10, P47 27017 PURDON SE, 2000, ARCH GEN PSYCHIAT, V57, P249 27018 REITAN RM, 1958, PERCEPT MOTOR SKILL, V8, P271 27019 RISCH SC, 2001, NEUROCASE, V7, P105 27020 ROGERS SL, 1998, ARCH INTERN MED, V158, P1021 27021 SUMIYOSHI T, 2001, BIOL PSYCHIAT, V49, P861 27022 TUGAL O, 2004, INT J NEUROPSYCHOPH, V7, P117 27023 VITIELLO B, 1997, NEUROPSYCHOPHARMACOL, V16, P15 27024 NR 31 27025 TC 0 27026 PU SAGE PUBLICATIONS LTD 27027 PI LONDON 27028 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 27029 SN 0269-8811 27030 J9 J PSYCHOPHARMACOL 27031 JI J. Psychopharmacol. 27032 PD JUN 27033 PY 2007 27034 VL 21 27035 IS 4 27036 BP 421 27037 EP 427 27038 PG 7 27039 SC Clinical Neurology; Neurosciences; Pharmacology & Pharmacy; Psychiatry 27040 GA 192DF 27041 UT ISI:000248180300009 27042 ER 27043 27044 PT J 27045 AU Ma, KQ 27046 Liu, J 27047 AF Ma, Kun-Quan 27048 Liu, Jing 27049 TI Heat-driven liquid metal cooling device for the thermal management of a 27050 computer chip 27051 SO JOURNAL OF PHYSICS D-APPLIED PHYSICS 27052 LA English 27053 DT Article 27054 ID THERMOELECTRIC GENERATORS; MICRODEVICES; PERFORMANCE; POWER 27055 AB The tremendous heat generated in a computer chip or very large scale 27056 integrated circuit raises many challenging issues to be solved. 27057 Recently, liquid metal with a low melting point was established as the 27058 most conductive coolant for efficiently cooling the computer chip. 27059 Here, by making full use of the double merits of the liquid metal, i.e. 27060 superior heat transfer performance and electromagnetically drivable 27061 ability, we demonstrate for the first time the liquid-cooling concept 27062 for the thermal management of a computer chip using waste heat to power 27063 the thermoelectric generator (TEG) and thus the flow of the liquid 27064 metal. Such a device consumes no external net energy, which warrants it 27065 a self-supporting and completely silent liquid-cooling module. 27066 Experiments on devices driven by one or two stage TEGs indicate that a 27067 dramatic temperature drop on the simulating chip has been realized 27068 without the aid of any fans. The higher the heat load, the larger will 27069 be the temperature decrease caused by the cooling device. Further, the 27070 two TEGs will generate a larger current if a copper plate is sandwiched 27071 between them to enhance heat dissipation there. This new method is 27072 expected to be significant in future thermal management of a desk or 27073 notebook computer, where both efficient cooling and extremely low 27074 energy consumption are of major concern. 27075 C1 Chinese Acad Sci, Tech Inst Phys & Chem, Cryogen Lab, Beijing 100080, Peoples R China. 27076 RP Liu, J, Chinese Acad Sci, Tech Inst Phys & Chem, Cryogen Lab, POB 2711, 27077 Beijing 100080, Peoples R China. 27078 EM jliu@cl.cryo.ac.cn 27079 CR BENNETT GL, 2002, SPACE NUCL POWER, P537 27080 CHEIN R, 1992, APPL PHYS LETT, V60, P2 27081 CHEIN RY, 2005, INT J REFRIG, V28, P828 27082 CHEN JC, 2000, J ENERG RESOUR-ASME, V122, P61 27083 COLLETT J, 1989, P INT EN CONV ENG C, V3 27084 ESARTE J, 2001, J POWER SOURCES, V93, P72 27085 GHOSHAL U, 2005, 21 IEEE SEMI THERM S, P16 27086 JOSEPH B, 1999, EUR PHYS J-APPL PHYS, V5, P19 27087 KAPITULNIK A, 1992, APPL PHYS LETT, V60, P180 27088 LENOIR B, 2003, APPL THERM ENG, V23, P1407 27089 LI T, 2004, ANN HEAT MASS TRANSF, P1115 27090 LIU J, 2002, 021314195, CN 27091 LIU J, 2005, ASME INT MECH ENG C, P501 27092 MA KQ, 2007, PHYS LETT A, V361, P252 27093 MAHAN GD, 1996, P NATL ACAD SCI USA, V93, P7436 27094 MINER A, 1999, APPL PHYS LETT, V75, P8 27095 MINER A, 2004, APPL PHYS LETT, V85, P506 27096 MOHSENI K, 2005, 21 IEEE SEMI THERM S, P20 27097 ROWE DM, 1999, RENEW ENERG, V16, P1251 27098 SLEICHER CA, 1975, INT J HEAT, V18, P677 27099 TELKE, 1947, J APPL PHYS, V18, P1116 27100 YANG RG, 2005, ENERG CONVERS MANAGE, V46, P1407 27101 YAZAWA K, 2005, IEEE T ADV PACKAGING, V28, P231 27102 NR 23 27103 TC 0 27104 PU IOP PUBLISHING LTD 27105 PI BRISTOL 27106 PA DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND 27107 SN 0022-3727 27108 J9 J PHYS-D-APPL PHYS 27109 JI J. Phys. D-Appl. Phys. 27110 PD AUG 7 27111 PY 2007 27112 VL 40 27113 IS 15 27114 BP 4722 27115 EP 4729 27116 PG 8 27117 SC Physics, Applied 27118 GA 193CG 27119 UT ISI:000248250600056 27120 ER 27121 27122 PT J 27123 AU Husebo, BS 27124 Strand, LI 27125 Moe-Nilssen, R 27126 Husebo, SB 27127 Snow, AL 27128 Ljunggren, AE 27129 AF Husebo, Bettina Sandgathe 27130 Strand, Liv Inger 27131 Moe-Nilssen, Rolf 27132 Husebo, Stein Borge 27133 Snow, Andrea Lynn 27134 Ljunggren, Anne Elisabeth 27135 TI Mobilization-observation-behavior-intensity-dementia pain scale 27136 (MOBID): Development and validation of a nurse administered pain 27137 assessment tool for use in dementia 27138 SO JOURNAL OF PAIN AND SYMPTOM MANAGEMENT 27139 LA English 27140 DT Article 27141 DE pain; pain assessment; behavioral assessment; movement-related pain; 27142 older adults; dementia; reliability; validity; nursinghome 27143 ID LOW-BACK-PAIN; IMPAIRED OLDER-ADULTS; HOME RESIDENTS; COGNITIVE 27144 IMPAIRMENT; ELDERLY-PATIENTS; PREVALENCE; MANAGEMENT; EXPRESSIONS; 27145 RELIABILITY; PERFORMANCE 27146 AB Pain assessment in older persons with severe cognitive impairment (SCI) 27147 is a challenge due to reduced self-report capacity and lack of 27148 movement-related pain assessment instruments. The purpose of this 27149 article was to describe the development of the 27150 Mobilization-Observation-Behaviour-Intensity-Dementia Pain Scale 27151 (MOBID) and, to investigate aspects of reliability and validity. MOBID 27152 is a nurse-administered instrument developed for use in patients with 27153 SCI, where presence of pain behavior indicators (pain noises, facial 27154 expression, and defense) may be observed during standardized active, 27155 guided movements, and then inferred to represent pain intensity. 27156 Initially, the MOBID contained seven items (observing at rest, 27157 mobilization of the hands, arms, legs, turn over in bed, sitting on 27158 bedside, and teeth/mouth care). This was tested in 26 nursing home 27159 patients with SCI. Their primary caregivers, five registered nurses and 27160 six licensed practical nurses (LPNs), rated the patients' pain 27161 intensity during regular morning care, and by MOBID, both at bedside 27162 and from video uptakes. Three external raters (LPNs), not knowing the 27163 patients, also completed the MOBID by rating the videos. Internal 27164 consistency of the MOBID indicated high Cronbach's alpha (alpha = 0.90) 27165 after deleting the items for observation, at rest and observation of 27166 teeth/mouth care. MOBID disclosed significantly more pain than did pain 27167 scorings during regular morning care, and video observation 27168 demonstrated higher pain intensity than bedside scoring. Intertester 27169 reliability for inferred pain intensity was high to excellent 27170 (intraclass correlation coefficient= 0.70-0.96), but varied between 27171 poor and excellent for pain behavior indicators (kappa = 0.05-0.84). 27172 These results suggest that registration of pain behavior indicators 27173 during active, guided movements, as performed by the MOBID procedure, 27174 is useful to disclose reliable and valid pain intensity scores in 27175 patients with SCI. 27176 C1 Univ Bergen, Sect Physiotherapy Sci, Dept Publ Hlth & Primary Hlth Care, N-5018 Bergen, Norway. 27177 Univ Klagenfurt, Fac Interdisciplinary Res & Educ, Dept Palliat Care & Eth, Vienna, Austria. 27178 Univ Alabama, Dept Psychol, Ctr Mental Hlth & Aging, Tuscaloosa, AL 35487 USA. 27179 RP Husebo, BS, Univ Bergen, Sect Physiotherapy Sci, Dept Publ Hlth & 27180 Primary Hlth Care, Kalfarveien 31, N-5018 Bergen, Norway. 27181 EM Bettina.Husebo@isf.uib.no 27182 CR *COUNC EUR, 2005, ADD PROT CONV HUM RI 27183 ABBEY J, 2004, INT J PALLIAT NURS, V10, P6 27184 ALEXOPOULOS GS, 1988, BIOL PSYCHIAT, V23, P271 27185 ALTMAN DG, 1995, PRACTICAL STAT MED R, P396 27186 BLAND JM, 1996, BRIT MED J, V312, P1654 27187 BOYER F, 2004, INT J GERIATR PSYCH, V19, P1026 27188 BRATTBERG G, 1997, CLIN J PAIN, V13, P144 27189 BUALON A, 1999, GERONTOL GERIATR, V32, P50 27190 CLOSS SJ, 2004, J PAIN SYMPTOM MANAG, V27, P196 27191 COHENMANSFIELD J, 2002, J PAIN SYMPTOM MANAG, V24, P562 27192 CRAIG KD, 1991, PAIN, V46, P161 27193 CRAIG KD, 2006, TXB PAIN, P231 27194 CUMMINGS JL, 1994, NEUROLOGY, V44, P2308 27195 DALY LE, 2000, INTERPRETATION USE M 27196 DAVIES E, 2004, NURS STAND, V19, P39 27197 DEFRIN R, 2006, PAIN, V124, P312 27198 DESSON JF, 1999, GERONTOL GERIATR, V32, P245 27199 DOMHOLDT E, 2005, REHABILITATION RES P 27200 EKMAN P, 1969, AM PSYCHOL, V24, P240 27201 EKMAN P, 1993, AM PSYCHOL, V48, P384 27202 ENGEDAL K, 1993, INT J GERIATR PSYCH, V8, P565 27203 FELDT KS, 1998, J AM GERIATR SOC, V46, P1079 27204 FELDT KS, 2000, PAIN MANAGEMENT NURS, V1, P13 27205 FERRELL BA, 1990, J AM GERIATR SOC, V38, P409 27206 FERRELL BA, 1991, J AM GERIATR SOC, V39, P64 27207 FERRELL BA, 1998, J AM GERIATR SOC, V46, P635 27208 FERRI CP, 2005, LANCET, V366, P2112 27209 FISHER SE, 2002, J AM GERIATR SOC, V50, P152 27210 FOLSTEIN MF, 1975, J PSYCHIAT RES, V12, P189 27211 FRAMPTON M, 2003, AGE AGEING, V32, P248 27212 FRIEDLAND RP, 2000, OXFORD TXB GERIATRIC, P922 27213 FUCHSLACELLE S, 2004, PAIN MANAG NURS, V5, P37 27214 GAGLIESE L, 1997, PAIN, V70, P3 27215 GIBSON SJ, 2006, PAIN CLIN UPDATES, V14, P1 27216 HADJISTAVROPOULOS T, 2000, CLIN J PAIN, V16, P54 27217 HADJISTAVROPOULOS T, 2000, PAIN CLINIC, V12, P25 27218 HADJISTAVROPOULOS T, 2002, EUR J PAIN-LONDON, V6, P179 27219 HASENBRING M, 2001, SCHMERZ, V15, P442 27220 HELME RD, 2001, CLIN GERIATR MED, V17, P417 27221 HERR K, 2002, AM J NURS, V102, P65 27222 HERR KA, 1998, CLIN J PAIN, V14, P29 27223 HUFFMAN JC, 2000, GERONTOLOGIST, V40, P574 27224 HUGHES CP, 1982, BRIT J PSYCHIAT, V140, P566 27225 HURLEY AC, 1992, RES NURS HEALTH, V15, P369 27226 JENSEN MP, 1999, PAIN, V83, P157 27227 KEEFE FJ, 1982, BEHAV THER, V13, P363 27228 KEEFE FJ, 2001, HDB PAIN ASSESSMENT, P170 27229 KRULEWITCH H, 2000, J AM GERIATR SOC, V48, P1607 27230 LEFEBVRECHAPIRO S, 2001, EUR J PALLIAT CARE, V8, P191 27231 LETHEM J, 1983, BEHAV RES THER, V21, P401 27232 LINDBLOM U, 1986, PAIN, V3, P215 27233 MAGNUSSEN L, 2004, SPINE, V29, P903 27234 MANFREDI PL, 2003, J PAIN SYMPTOM MANAG, V25, P48 27235 MERCADANTE S, 2006, PAIN CLIN UPDATES, V14, P1 27236 MERSKEY H, 1986, PAIN SUPPL, V3, P3 27237 MERSKEY H, 1994, CLASSIFICATION CHRON 27238 MORRIS JN, 1994, J GERONTOL, V49, M174 27239 PALLANT J, 2005, SPSS SURVIVAL MANUAL 27240 PRKACHIN KM, 1992, PAIN, V51, P57 27241 PRKACHIN KM, 1994, PAIN, V58, P253 27242 RABINS PV, 1996, AM J GERIAT PSYCHIAT, V4, P247 27243 SENGSTAKEN EA, 1993, J AM GERIATR SOC, V41, P541 27244 SHEIKH K, 1979, INT REHABIL MED J, V1, P51 27245 SHROUT PE, 1979, PSYCHOL BULL, V86, P420 27246 SIMONS W, 1995, J ADV NURS, V22, P663 27247 SNOW AL, 2004, DEMENT GERIATR COGN, V17, P240 27248 STOLEE P, 2005, J AM GERIATR SOC, V53, P319 27249 STREINER DL, 2001, HLTH MEASUREMENT SCA, P54 27250 TENO JM, 2004, J AM GERIATR SOC, V52, P762 27251 VILLANUEVA MR, 2003, J AM MED DIR ASSOC, V4, P1 27252 VLAEYEN JWS, 1995, PAIN, V62, P363 27253 WARDEN V, 2001, GERONTOLOGIST, V41, P146 27254 WEINER D, 1999, CLIN J PAIN, V15, P92 27255 WEINER D, 1999, PAIN, V80, P577 27256 WEINER DK, 2004, J AM GERIATR SOC, V52, P1020 27257 ZWAKHALEN SM, 2006, BMC GERIATR, V6, P3 27258 NR 76 27259 TC 0 27260 PU ELSEVIER SCIENCE INC 27261 PI NEW YORK 27262 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 27263 SN 0885-3924 27264 J9 J PAIN SYMPTOM MANAGE 27265 JI J. Pain Symptom Manage. 27266 PD JUL 27267 PY 2007 27268 VL 34 27269 IS 1 27270 BP 67 27271 EP 80 27272 PG 14 27273 SC Health Care Sciences & Services; Medicine, General & Internal; Clinical 27274 Neurology 27275 GA 189JK 27276 UT ISI:000247985000012 27277 ER 27278 27279 PT J 27280 AU Keidar, Z 27281 Engel, A 27282 Hoffman, A 27283 Israel, O 27284 Nitecki, S 27285 AF Keidar, Zohar 27286 Engel, Ahuva 27287 Hoffman, Aaron 27288 Israel, Ora 27289 Nitecki, Samy 27290 TI Prosthetic vascular graft infection: The role of F-18-FDG PET/CT 27291 SO JOURNAL OF NUCLEAR MEDICINE 27292 LA English 27293 DT Article 27294 DE PET/CT; infection; prosthetic vascular graft 27295 ID POSITRON-EMISSION-TOMOGRAPHY; FDG PET; MANAGEMENT; CANCER; FUSION 27296 AB Graft infection after prosthetic vascular reconstruction is an uncommon 27297 but severe complication. The clinical presentation is often subtle and 27298 nonspecific and may occur long after surgery. Although defining a 27299 prosthetic vascular graft infection can be difficult, early diagnosis 27300 and treatment are important because of the relatively high rates of 27301 amputation and death. The present study assessed the role of PET/CT 27302 using F-18-FDG for the diagnosis of vascular graft infections. Methods: 27303 Thirty-nine patients (35 men and 4 women; age range, 44-82 y) with 27304 suspected vascular graft infection underwent 18F-FDG PET/CT. The 27305 performance of PET/CT for the diagnosis of an infectious process and 27306 its localization to the graft or soft tissues was assessed. The final 27307 diagnosis was based on histopathologic findings and microbiologic 27308 assays obtained at surgery or on clinical and imaging follow-up. 27309 Results: PET/CT detected foci of increased 18F-FDG uptake suspected as 27310 infection in 27 patients and localized these findings to the graft in 27311 16 patients. Vascular graft infection was confirmed in 14 of these 27312 patients (88%). PET/CT excluded graft involvement in 11 patients, and 27313 in 10 (91 %) of these 11, long-term follow-up further confirmed that 27314 the infectious process was limited to surrounding soft tissues only. No 27315 abnormal 18F-FDG uptake was found in any of the 12 patients with no 27316 further evidence of infection. PET/CT had a sensitivity of 93%, 27317 specificity of 91%, positive predictive value of 88%, and negative 27318 predictive value of 96% for the diagnosis of vascular graft infection. 27319 Conclusion: 18F-FDG PET/CT is a reliable noninvasive imaging modality 27320 for the diagnosis of vascular graft-related infection. The precise 27321 anatomic locaiization of increased 18F-FDG uptake provided by PET/CT 27322 enables accurate differentiation between graft and soft-tissue 27323 infection. 27324 C1 Dept Nucl Med, IL-35254 Haifa, Israel. 27325 Technion Israel Inst Technol, Bruce Rappaport Fac Med, IL-31096 Haifa, Israel. 27326 Dept Radiol, Haifa, Israel. 27327 Dept Vasc Surg, Haifa, Israel. 27328 RP Keidar, Z, Dept Nucl Med, Rambam Hlth Care Campus, IL-35254 Haifa, 27329 Israel. 27330 EM zohar@keidar.net 27331 CR BANDYK DF, 2005, VASCULAR SURG, P875 27332 CHANG JK, 2003, ANN VASC SURG, V17, P91 27333 COOK GJR, 1996, SEMIN NUCL MED, V26, P308 27334 DIEDERICHS CG, 1998, J NUCL MED, V39, P1030 27335 FUKUCHI K, 2005, J VASC SURG, V42, P919 27336 GORENBERG M, 2002, EUR J NUCL MED MOL I, V29, P1324 27337 ISRAEL O, 2001, SEMIN NUCL MED, V31, P191 27338 KEIDAR Z, 2003, MOL IMAGING BIOL, V5, P23 27339 KEIDAR Z, 2005, J NUCL MED, V46, P444 27340 LIBERATORE M, 1998, J NUCL MED, V39, P875 27341 ORTON DF, 2000, RADIOGRAPHICS, V20, P977 27342 RAMO OJ, 1993, EUR J VASCULAR SURG, V7, P122 27343 SAMUEL A, 1996, J NUCL MED, V37, P55 27344 SEEGER JM, 2000, AM SURGEON, V66, P166 27345 STADLER P, 2004, J VASC SURG, V40, P1246 27346 SWAYNE LC, 1992, INVEST RADIOL, V27, P78 27347 VOGELZANG RL, 1987, AM J ROENTGENOL, V148, P819 27348 WILLIAMSON MR, 1986, AM J ROENTGENOL, V147, P173 27349 WINTER F, 2002, EUR J CLIN MICROBIOL, V21, P247 27350 ZHUANG HM, 2001, J NUCL MED, V42, P44 27351 ZHUANG HM, 2001, NUCL MED COMMUN, V22, P1123 27352 ZHUANG HM, 2002, SEMIN NUCL MED, V32, P47 27353 NR 22 27354 TC 1 27355 PU SOC NUCLEAR MEDICINE INC 27356 PI RESTON 27357 PA 1850 SAMUEL MORSE DR, RESTON, VA 20190-5316 USA 27358 SN 0161-5505 27359 J9 J NUCL MED 27360 JI J. Nucl. Med. 27361 PD AUG 27362 PY 2007 27363 VL 48 27364 IS 8 27365 BP 1230 27366 EP 1236 27367 PG 7 27368 SC Radiology, Nuclear Medicine & Medical Imaging 27369 GA 197VJ 27370 UT ISI:000248584300018 27371 ER 27372 27373 PT J 27374 AU Sinha, PK 27375 Mukherjee, PP 27376 Wang, CY 27377 AF Sinha, Puneet K. 27378 Mukherjee, Partha P. 27379 Wang, Chao-Yang 27380 TI Impact of GDL structure and wettability on water management in polymer 27381 electrolyte fuel cells 27382 SO JOURNAL OF MATERIALS CHEMISTRY 27383 LA English 27384 DT Article 27385 ID GAS-DIFFUSION LAYERS; LATTICE BOLTZMANN-EQUATION; POROUS-MEDIA; NETWORK 27386 MODEL; 2-PHASE FLOW; CAPILLARY-PRESSURE; DYNAMIC PROPERTIES; PORE 27387 NETWORKS; SIMULATION; TRANSPORT 27388 AB A key performance limitation in polymer electrolyte fuel cells (PEFC), 27389 called the mass transport loss, originates from liquid water transport 27390 and resulting flooding phenomena in the constituent components. The 27391 cathode gas diffusion layer (GDL) is a primary contributor to mass 27392 transport loss owing to the blockage of available pore space by liquid 27393 water thereby rendering hindered oxygen transport to the active 27394 reaction sites in the electrode. The GDL, typically a fibrous non-woven 27395 carbon paper or a woven carbon cloth, thus plays an important role in 27396 the water management of a PEFC. This Feature Article provides a 27397 systematic description of the development of pore-scale models coupled 27398 with realistic microstructural delineation as well as micron-resolution 27399 imaging techniques to study the profound influence of the underlying 27400 structure and surface wettability on liquid water transport and 27401 interfacial dynamics in the fuel cell GDL. A pore-network model and a 27402 two-phase lattice Boltzmann model coupled with stochastic generation of 27403 GDL microstructures are elaborated. Concurrently, optical diagnostics 27404 of water dynamics at GDL interfaces and X-ray micro-tomographic imaging 27405 of liquid water distribution inside the GDL of an operating fuel cell 27406 are discussed. 27407 C1 Penn State Univ, Electrochem Engine Ctr, University Pk, PA 16802 USA. 27408 Penn State Univ, Dept Mech & Nucl Engn, University Pk, PA 16802 USA. 27409 RP Wang, CY, Penn State Univ, Electrochem Engine Ctr, University Pk, PA 27410 16802 USA. 27411 EM cxw31@psu.edu 27412 CR ALFUTAISI A, 2004, J CONTAM HYDROL, V74, P61 27413 ANDRADE JS, 1997, PHYS REV E B, V55, P772 27414 BAZYLAK A, 2007, J POWER SOURCES, V163, P784 27415 BHATNAGAR PL, 1954, PHYS REV, V94, P511 27416 BIRD GA, 1994, MOL GAS DYNAMICS DIR 27417 BLUNT M, 1991, TRANSPORT POROUS MED, V6, P407 27418 BLUNT MJ, 1997, SPE J, V2, P70 27419 BLUNT MJ, 2002, ADV WATER RESOUR, V25, P1069 27420 BRAY YL, 1999, INT J HEAT MASS TRAN, V42, P4207 27421 CHEN S, 1998, ANNU REV FLUID MECH, V30, P329 27422 CONCUS P, 1969, P NATL ACAD SCI USA, V63, P292 27423 EVANS DJ, 1983, PHYS REV LETT, V51, P1776 27424 EWING RP, 2001, ADV WATER RESOUR, V24, P309 27425 FAGHRI A, 2005, INT J HEAT MASS TRAN, V48, P19 27426 FATT I, 1956, T AIME, V207, P160 27427 FATT I, 1956, T AM I MIN METALL PE, V207, P144 27428 FATT I, 1956, T AM I MIN METALL PE, V207, P164 27429 FERER M, 2003, PHYS REV E 1, V67 27430 FERER M, 2003, PHYSICA A, V319, P11 27431 GE S, 2007, ELECTROCHIM ACTA, V52, P3965 27432 GOSTICK JT, 2006, J POWER SOURCES, V156, P375 27433 GOSTICK JT, 2006, J POWER SOURCES, V162, P228 27434 HAZLETT RD, 1995, TRANSPORT POROUS MED, V20, P21 27435 HE WS, 2000, AICHE J, V46, P2053 27436 HEWITT GF, 2001, SHORT COURS MOD 2 B 27437 HILPERT M, 2001, ADV WATER RESOUR, V24, P243 27438 IOANNIDIS MA, 1993, CHEM ENG SCI, V48, P951 27439 JU H, 2007, J ELECTROCHEM SOC, V154, P218 27440 LAURINDO JB, 1996, CHEM ENG SCI, V51, P5171 27441 LENORMAND R, 1984, SPE J, P13264 27442 LENORMAND R, 1990, J PHYS-CONDENS MAT A, V2, SA79 27443 LEONRMAND R, 1998, J FLUID MECH, V189, P165 27444 LI X, 1995, AICHE J, V41, P214 27445 LITSTER S, 2006, J POWER SOURCES, V154, P95 27446 LUO LS, 2000, P INT C APPL COMP FL, P52 27447 MATHIAS MF, 2003, FUNDAMENTALS TECHNOL, V3, P517 27448 MUKHERJEE PP, UNPUB 27449 MUKHERJEE PP, 2006, EL SOC M CANC MEX OC 27450 NAM JH, 2003, INT J HEAT MASS TRAN, V46, P4595 27451 PAN C, 2003, THESIS U N CAROLINA 27452 PASAOGULLARI U, 2004, J ELECTROCHEM SOC, V151, P399 27453 PATZEK TW, 2001, J COLLOID INTERF SCI, V236, P295 27454 PISANI L, 2002, J ELECTROCHEMICAL SO, V149, P898 27455 RAABE D, 2004, MODEL SIMUL MATER SC, V12, R13 27456 RAPAPORT DC, 1995, ART MOL DYNAMICS SIM 27457 RIVET JP, 2001, LATTICE GAS HYDRODYN 27458 ROTHMAN DH, 1997, LATTICE GAS CELLULAR 27459 SCHLADITZ K, 72 FRAUNH ITWM 27460 SCHLADITZ K, 2006, COMP MATER SCI, V38, P56 27461 SCHULZ VP, 2006, EL SOC M CANC MEX OC 27462 SCHULZ VP, 2007, J ELECTROCHEM SOC, V154, B419 27463 SHAN XW, 1993, PHYS REV E, V47, P1815 27464 SHAN XW, 1994, PHYS REV E A, V49, P2941 27465 SHAN XW, 1995, J STAT PHYS, V81, P379 27466 SHAN XW, 1996, PHYS REV E A, V54, P3614 27467 SINHA PK, UNPUB ELECTROCHIM AC 27468 SINHA PK, 2006, 200603 PENNS STAT U 27469 SINHA PK, 2006, ELECTROCHEM SOLID ST, V9, A344 27470 SUCCI S, 2001, LATTICE BOLTZMANN EQ 27471 THOMPSON KE, 2002, AICHE J, V48, P1369 27472 TIAB D, 1996, PETROPHYSICS THEORY 27473 VALVATNE PH, 2004, WATER RESOUR RES, V40 27474 WANG CY, 2003, HDB FUEL CELLS, V3, P337 27475 WANG CY, 2004, CHEM REV, V104, P4727 27476 WANG Y, 2006, J ELECTROCHEM SOC, V153, P1193 27477 WANG ZH, 2001, J POWER SOURCES, V94, P40 27478 WEBER AZ, 2004, J ELECTROCHEM SOC, V151, P1715 27479 WIEGMANN A, COMMUNICATION 27480 WOLFGLADROW DA, 2000, LATTICE GAS CELLULAR 27481 YANG XG, 2004, ELECTROCHEM SOLID ST, V7, A408 27482 YIOTIS AG, 2001, ADV WATER RESOUR, V24, P439 27483 YORTSOS AG, 2003, PHYS REV E, V68 27484 ZHANG FY, 2006, J ELECTROCHEM SOC, V153, A225 27485 NR 73 27486 TC 1 27487 PU ROYAL SOC CHEMISTRY 27488 PI CAMBRIDGE 27489 PA THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, 27490 ENGLAND 27491 SN 0959-9428 27492 J9 J MATER CHEM 27493 JI J. Mater. Chem. 27494 PY 2007 27495 VL 17 27496 IS 30 27497 BP 3089 27498 EP 3103 27499 PG 15 27500 SC Chemistry, Physical; Materials Science, Multidisciplinary 27501 GA 194HM 27502 UT ISI:000248335300021 27503 ER 27504 27505 PT J 27506 AU Schulke, DG 27507 Krantzberg, E 27508 Grant, J 27509 AF Schulke, David G. 27510 Krantzberg, Elaine 27511 Grant, Jim 27512 TI Medicare quality improvement organizations' ambulatory drug therapy 27513 improvement activities and partnerships with Medicare Part D 27514 prescription drug plans and Medicare advantage plans 27515 SO JOURNAL OF MANAGED CARE PHARMACY 27516 LA English 27517 DT Article 27518 AB BACKGROUND: The Medicare Modernization Act (MMA) has provided an 27519 opportunity for quality improvement organizations (010s) to partner 27520 with Medicare Part D plan sponsors. These new relationships have 27521 developed into a set of diverse projects, each approved by the Centers 27522 for Medicare & Medicaid Services. 27523 OBJECTIVE: To provide information about the scope of the projects being 27524 conducted by the QlOs and their partners. 27525 SUMMARY. The document describes a variety of quality improvement 27526 projects addressing medication use by beneficiaries enrolled in 27527 Medicare Part D. Private Medicare 010 contractors are implementing 27528 these projects in each state. Descriptions of each project were 27529 developed by individual OlOs with the assistance of lead staff for the 27530 Physician Practice/Pharmacy QIO Support Center for all 010s nationwide. 27531 These projects vary in their complexity, in the quality measures used, 27532 and in the clinical processes and economic impact they seek to improve. 27533 The summaries in this supplement were prepared 6 months into the 27534 current 3-year contract period, which began August 2006. Accordingly, 27535 the summaries reflect varying stages of development, funding reductions 27536 could occur that necessitate project redesign, and projects have not 27537 yet been evaluated. With few exceptions, these projects are not 27538 designed as research but as quality improvement projects following the 27539 "Plan, Do, Study, Act" model for speeding acceptance of evidence-based 27540 practice. 27541 CONCLUSIONS: This survey describes the promise of partnerships whose 27542 value will be fully realized in future years. The results of these 27543 early 010 initiatives will not be available until projects are 27544 evaluated, but OlOs and many Medicare Part D plans have established 27545 promising partnerships and have begun to share data for the purpose of 27546 assessing and improving plan and practitioner performance as well as 27547 patient engagement. Most projects are focused on ambulatory care, but 27548 some OlOs are addressing nursing home care and continuity of care 27549 between settings. Most ambulatory care projects are limited to 27550 prescription drug claims data, but a few plans are providing medical 27551 and lab data to QlOs in addition to drug claims. 010s have historically 27552 worked almost exclusively with physicians and nurses but in many states 27553 are now engaged with colleges of pharmacy as well as with managed care 27554 and community pharmacists. 010 partnerships will provide managed care 27555 organizations and pharmacists with the opportunity for innovative 27556 quality improvement initiatives that might not otherwise be possible 27557 because of limitations of available data or resources. Pharmacists can 27558 use this document to review a wide array of options for working with 27559 OlOs and other partners in their market to design or strengthen their 27560 organization's medication therapy management and quality improvement 27561 programs. Managed care pharmacists may be particularly interested in 27562 the ability of OlOs to assist them in comparing their plans' 27563 performance with other national and regional plans. 27564 C1 Amer Hlth Qual Assoc, Washington, DC 20036 USA. 27565 Phys Practice Pharm Qual Improvement Org Support, FMQAI, Tampa, FL USA. 27566 RP Schulke, DG, Amer Hlth Qual Assoc, 1155 21st St NW, Washington, DC 27567 20036 USA. 27568 EM dschulke@ahqa.org 27569 CR CORNISH PL, 2005, ARCH INTERN MED, V165, P424 27570 FICK DM, 2003, ARCH INTERN MED, V163, P2716 27571 FLEMING T, 2007, RED BOOK 2007 PHARM 27572 GELBACH SH, 1984, MED CARE, V22, P193 27573 NR 4 27574 TC 0 27575 PU ACAD MANAGED CARE PHARMACY 27576 PI ALEXANDRIA 27577 PA 100 N PITT ST, 400, ALEXANDRIA, VA 22314-3134 USA 27578 SN 1083-4087 27579 J9 J MANAG CARE PHARM 27580 JI J. Manag. Care Pharm. 27581 PD JUL 27582 PY 2007 27583 VL 13 27584 IS 6 27585 SU Suppl. B 27586 BP S3 27587 EP S44 27588 PG 42 27589 SC Health Care Sciences & Services; Pharmacology & Pharmacy 27590 GA 200VE 27591 UT ISI:000248790100001 27592 ER 27593 27594 PT J 27595 AU Chuah, MC 27596 Ma, WB 27597 AF Chuah, Mooi Choo 27598 Ma, Wen-Bin 27599 TI Integrated buffer and route management in a DTN with message ferry 27600 SO JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 27601 LA English 27602 DT Article 27603 DE disruption tolerant network; buffer management; ferry route design; 27604 performance evaluation; fairness 27605 AB Unlike normal wireless ad hoc networks, end-to-end connection may not 27606 exist in DTNs Thus, the Message Ferrying (MF) scheme has been proposed 27607 as a strategy for providing connectivity in disruption tolerant network 27608 (DTN)s, where a set of nodes called ferries are responsible for 27609 carrying messages for all nodes in the networks. In such store- 27610 and-forward networks, buffers at ferry and regular nodes become 27611 critical resources and need to be allocated fairly among different 27612 users. In this paper, we propose a max-min fairness model for a DTN 27613 with a message ferry. Based on this model, we propose a buffer 27614 allocation scheme that can achieve fairness among different sessions. 27615 We also design an integrated buffer and routing management scheme 27616 called buffer efficient routing scheme (BERS). Via simulations, we 27617 demonstrate that our fair buffer allocation scheme assigns buffers 27618 fairly to different sessions. Our simulation studies also show that 27619 BERS can achieve higher session throughput and lower packet delivery 27620 latency than the only-store-and-forward routing scheme that is 27621 typically used in a message ferry system. 27622 C1 Lehigh Univ, Dept Comp Sci & Engn, Bethlehem, PA 18015 USA. 27623 RP Chuah, MC, Lehigh Univ, Dept Comp Sci & Engn, Bethlehem, PA 18015 USA. 27624 CR HUANG XL, 2001, P AC MOBI HOC, P221 27625 JOHNSON DB, 1996, MOBILE COMPUTING, P153 27626 LUO HY, 2004, IEEE T MOBILE COMPUT, V3, P86 27627 PENTLAND A, 2004, IEEE COMPUT, V37, P78 27628 PERKINS CE, 1999, P 2 IEEE WORKSH MOB, P90 27629 SHAH RC, 2003, P IEEE WORKSH SENS N, P30 27630 TASSIULAS L, 2002, P IEEE INFOCOM, P320 27631 VAHDAT A, 2000, CS200006 DUK U DEP C 27632 VISWANATHAN R, 2003, P 6 IEEE INT S WORLD, P487 27633 XU K, 2002, P ACM WOWM 2002 ATL, P41 27634 YI Y, 2004, P IEEE INFOCOM 27635 ZHAO W, 2000, P IEEE INFOCOM, P1407 27636 ZHAO W, 2003, P IEEE WORKSH FUT TR, P308 27637 ZHAO W, 2004, P 5 ACM INT S MOB AD, P187 27638 NR 14 27639 TC 0 27640 PU INST INFORMATION SCIENCE 27641 PI TAIPEI 27642 PA ACADEMIA SINICA, TAIPEI 115, TAIWAN 27643 SN 1016-2364 27644 J9 J INF SCI ENG 27645 JI J. Inf. Sci. Eng. 27646 PD JUL 27647 PY 2007 27648 VL 23 27649 IS 4 27650 BP 1123 27651 EP 1139 27652 PG 17 27653 SC Computer Science, Information Systems 27654 GA 192XN 27655 UT ISI:000248237300012 27656 ER 27657 27658 PT J 27659 AU Yang, J 27660 Reichert, P 27661 Abbaspour, KC 27662 Yang, H 27663 AF Yang, Jing 27664 Reichert, Peter 27665 Abbaspour, Karim C. 27666 Yang, Hong 27667 TI Hydrological modelling of the chaohe basin in china: Statistical model 27668 formulation and Bayesian inference 27669 SO JOURNAL OF HYDROLOGY 27670 LA English 27671 DT Article 27672 DE watershed model; calibration; uncertainty analysis; Bayesian inference; 27673 continuous-time autoregressive error; model; MCMC; SWAT; UNCSIM; 27674 aggregate parameters 27675 ID NONPOINT-SOURCE POLLUTION; RAINFALL-RUNOFF MODELS; PARAMETER 27676 UNCERTAINTY; GLOBAL OPTIMIZATION; TRANSPORT PARAMETERS; DATA 27677 ASSIMILATION; CATCHMENT MODELS; MIYUN RESERVOIR; CALIBRATION; SIMULATION 27678 AB Calibration of hydrologic models is very difficult because of 27679 measurement errors in input and response, errors in model structure, 27680 and the large number of non-identifiable parameters of distributed 27681 models. The difficulties even increase in arid regions with high 27682 seasonal variation of precipitation, where the modelled residuals often 27683 exhibit high heteroscedasticity and autocorrelation. On the other hand, 27684 support of water management by hydrologic models is important in and 27685 regions, particularly if there is increasing water demand due to 27686 urbanization. The use and assessment of model results for this purpose 27687 require a careful calibration and uncertainty analysis. Extending 27688 earlier work in this field, we developed a procedure to overcome (i) 27689 the problem of non-identifiability of distributed parameters by 27690 introducing aggregate parameters and using Bayesian inference, (ii) the 27691 problem of heteroscedasticity of errors by combining a Box-Cox 27692 transformation of results and data with seasonally dependent error 27693 variances, (iii) the problems of autocorrelated errors, missing data 27694 and outlier omission with a continuous-time autoregressive error model, 27695 and (iv) the problem of the seasonal variation of error correlations 27696 with seasonally dependent characteristic correlation times. The 27697 technique was tested with the calibration of the hydrologic sub-model 27698 of the Soil and Water Assessment Toot (SWAT) in the Chaohe Basin in 27699 North China. The results demonstrated the good performance of this 27700 approach to uncertainty analysis, particularly with respect to the 27701 fulfilment of statistical assumptions of the error model. A comparison 27702 with an independent error model and with error models that only 27703 considered a subset of the suggested techniques clearly showed the 27704 superiority of the approach based on all the features (i)-(iv) 27705 mentioned above. (C) 2007 Elsevier B.V. All rights reserved. 27706 C1 Swiss Fed Inst Aquat Sci & Technol, Eawag, CH-8600 Dubendorf, Switzerland. 27707 RP Yang, J, Swiss Fed Inst Aquat Sci & Technol, Eawag, Ueberlandstr 133, 27708 POB 611, CH-8600 Dubendorf, Switzerland. 27709 EM jing.yang@eawag.ch 27710 CR *SOIL CONS SERV, 1972, NATL ENG HDB 27711 ABBASPOUR KC, 1997, WATER RESOUR RES, V33, P1879 27712 ABBASPOUR KC, 2004, VADOSE ZONE J, V3, P1340 27713 ABBASPOUR KC, 2007, J HYDROL, V333, P413 27714 ALLEN RG, 1986, J IRRIG DRAIN E-ASCE, V112, P348 27715 ALLEN RG, 1989, AGRON J, V81, P650 27716 ARNOLD JG, 1998, J AM WATER RESOUR AS, V34, P1 27717 BATES BC, 2001, WATER RESOUR RES, V37, P937 27718 BEST NG, 1995, CONVERGENCE DIAGNOSI 27719 BEVEN K, 1992, HYDROL PROCESS, V6, P279 27720 BEVEN K, 2001, HYDROL EARTH SYST SC, V5, P1 27721 BEVEN K, 2001, J HYDROL, V249, P11 27722 BICKNELL BR, 2000, HYDROLOGICAL SIMULAT, V12 27723 BOX GEP, 1964, J R STAT SOC B, V26, P211 27724 BOX GEP, 1982, J AM STAT ASSOC, V77, P209 27725 BROCKWELL PJ, 1996, INTRO TIME SERIES FO 27726 BROCKWELL PJ, 2001, HANDB STAT, V19, P249 27727 CHATFIELD C, 2003, ANAL TIME SERIES INT, P40 27728 CHEN J, 2004, ACTA SCI NATURALIUM, V40 27729 CHOW VT, 1988, APPL HYDROLOGY 27730 COWLES MK, 1996, J AM STAT ASSOC, V91, P883 27731 CRAWFORD NH, 1966, 39 STANF U DEP CIV E 27732 CUNGE JA, 1969, J HYDRAUL RES, V7, P205 27733 DILUZIO M, 2002, ARCVIEW INTERFACE SW 27734 DUAN Q, 1988, WATER RESOUR RES, V24, P1163 27735 DUAN Q, 2003, CALIBRATION WATERSHE 27736 DUAN QY, 1992, WATER RESOUR RES, V28, P1015 27737 DUAN QY, 1993, J OPTIMIZ THEORY APP, V76, P501 27738 DUAN QY, 1994, J HYDROL, V158, P265 27739 GELMAN S, 1995, BAYESIAN DATA ANAL 27740 HARGREAVES GH, 1985, APPL ENG AGRIC, V1, P96 27741 HU Y, 2003, RES ENV SCI, V16, P29 27742 HUANG Q, 2004, J NANJING FORESTRY U, V28, P22 27743 JIA H, 2002, WATER SCI TECHNOL, V46, P473 27744 KAVETSKI D, 2003, CALIBRATION WATERSHE, P49 27745 KLOEDEN PE, 1992, NUMERICAL SOLUTION S 27746 KUCZERA G, 1983, WATER RESOUR RES, V19, P1151 27747 KUCZERA G, 1998, J HYDROL, V211, P69 27748 LAMB R, 1999, WATER RESOUR RES, V35, P3103 27749 LIU YC, 2004, BMC BIOINFORMATICS, V5 27750 MONTEITH JL, 1965, STATE MOVEMENT WATER, V1, P205 27751 NASH JE, 1970, J HYDROL, V10, P282 27752 NEITSCH SL, 2001, SOIL WATER ASSESSMEN 27753 PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81 27754 REICHERT P, 2002, TECHNOMETRICS, V44, P318 27755 REICHERT P, 2005, P 2005 EUR SIM MOD C, P51 27756 REICHERT P, 2006, WATER SCI TECHNOL, V53, P267 27757 SCHAAP MG, 1996, WATER RESOUR RES, V32, P3033 27758 SCHAAP MG, 2001, J HYDROL, V251, P163 27759 SHI XZ, 2004, SOIL SURVEY HORIZON, V45, P129 27760 TOMASSINI L, UNPUB SMOOTHING ALGO 27761 VRUGT JA, 2002, SOIL SCI SOC AM J, V66, P1740 27762 VRUGT JA, 2003, WATER RESOURCES RES, V39 27763 VRUGT JA, 2005, WATER RESOUR RES, V41 27764 WANG GS, 2002, PROGR GEOGRAPHY CHIN, V21, P573 27765 WANG X, 2001, WATER SCI TECHNOL, V44, P35 27766 WANG ZG, 2003, PROGR GEOGRAPHY, V22, P79 27767 WILLIAMS JR, 1969, T ASAE, V12, P100 27768 WILLIAMS JR, 1995, WATER RESOURCES PUBL, P909 27769 YANG J, 2005, P INT S BOND BEH FRP, P169 27770 YAPO PO, 1996, J HYDROL, V181, P23 27771 YOUNG RA, 1989, J SOIL WATER CONSERV, V44, P168 27772 ZELLNER A, 1971, INTRO BAYESIAN INFER 27773 ZHANG LN, 2004, HYDROLOGY, V22, P4 27774 ZHANG XS, 2003, CHINESE GEOGRAPHICAL, V13, P334 27775 ZHANG XS, 2003, RES SOIL WATER CONSE, V10, P38 27776 ZHAO RJ, 1992, J HYDROL, V135, P371 27777 ZHAO RJ, 1995, WATER RESOURCES PUBL, P215 27778 NR 68 27779 TC 0 27780 PU ELSEVIER SCIENCE BV 27781 PI AMSTERDAM 27782 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 27783 SN 0022-1694 27784 J9 J HYDROL 27785 JI J. Hydrol. 27786 PD JUL 15 27787 PY 2007 27788 VL 340 27789 IS 3-4 27790 BP 167 27791 EP 182 27792 PG 16 27793 SC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources 27794 GA 191XY 27795 UT ISI:000248166500003 27796 ER 27797 27798 PT J 27799 AU Shrestha, RR 27800 Bardossy, A 27801 Rode, M 27802 AF Shrestha, Rajesh Raj 27803 Bardossy, Andras 27804 Rode, Michael 27805 TI A hybrid deterministic-fuzzy rule based model for catchment scale 27806 nitrate dynamics 27807 SO JOURNAL OF HYDROLOGY 27808 LA English 27809 DT Article 27810 DE fuzzy rules; hydrological model; nitrate transport model; optimisation; 27811 TOPMODEL; water balance 27812 ID NITROGEN DYNAMICS; TRANSPORT; METHODOLOGY; RIVER 27813 AB Current understanding of nitrate export from catchments indicates that 27814 the transport dynamics are mainly driven by hydrological processes 27815 characterised by complex nonlinear relationships. The aim of this paper 27816 is to develop a hybrid deterministic-fuzzy rule based model capable of 27817 simulating catchment scale nitrate transport on the basis of the 27818 relationships between driving and resultant variables. The 27819 deterministic water balance model WaSiM-ETH is used for the simulation 27820 of hydrological flow components. The simulated flow components from the 27821 WaSiM-ETH model together with observations are used to develop a fuzzy 27822 rule based nitrate transport model. The fuzzy rules are derived using a 27823 simulated annealing optimisation procedure supplemented by knowledge 27824 about data relationships. The study is undertaken using daily time step 27825 data from the Weida catchment. in the North-Eastern Germany, which is a 27826 100 km(2) subcatchment of the Weisse Elster river in the Elbe river 27827 basin. The models show reasonable performance with regards to the 27828 magnitude and dynamics of the streamflow, and nitrate-N concentration 27829 and load. The superior performance of the fuzzy rule based model in 27830 comparison to a multiple linear regression model indicates a complex 27831 nonlinear relationship between driving and resultant variables. The 27832 assessment of the rules provides explicit insights on the qualitative 27833 and quantitative relationships between different variables and their 27834 relative importance. The subsurface flow is found to be the most 27835 important variable which corresponds to the prevailing understanding 27836 that the nitrate transport processes are mainly driven by it. The 27837 relative importance of temperature as an input variable indicates the 27838 effect of seasonal. variability. The hybrid model is valid for present 27839 land use characteristics and management practices, which can be 27840 extended to include additional variables that affect nitrate entry to 27841 subsurface flow. (c) 2007 Elsevier B.V. All rights reserved. 27842 C1 UFZ, Helmholtz Ctr Environm Res, Dept Hydraul Modelling, D-39114 Magdeburg, Germany. 27843 Univ Stuttgart, Inst Hydraul Engn, D-70569 Stuttgart, Germany. 27844 RP Shrestha, RR, UFZ, Helmholtz Ctr Environm Res, Dept Hydraul Modelling, 27845 Brueckstr 3A, D-39114 Magdeburg, Germany. 27846 EM rajesh.shrestha@ufz.de 27847 CR *ASCE TASK COMM AP, 2000, J HYDROL ENG, V5, P115 27848 ABRAHAM J, 2004, HERLEITUNG NATURRAUM, P9 27849 BARDOSSY A, 1995, FUZZY RULE BASED MOD 27850 BARDOSSY A, 1996, ECOL MODEL, V85, P59 27851 BARDOSSY A, 2002, IEEE T GEOSCI REMOTE, V40, P362 27852 BARDOSSY A, 2003, SOFT COMPUT, V7, P370 27853 BEVEN K, 1979, HYDROL SCI B, V24, P1 27854 BEVEN K, 2001, J HYDROL, V249, P11 27855 BEVEN KJ, 2001, RAINFALL RUNOFF MODE 27856 BONGARTZ K, 2004, ABSCHLUBBERICHT FSU 27857 COPPOLA EA, 2002, J HYDROL ENG, V7, P326 27858 CREED IF, 1996, WATER RESOUR RES, V32, P3337 27859 DOHERTY J, 2004, PEST MODEL INDEPENDE 27860 DOU C, 1999, J HYDROL, V220, P74 27861 DUAN QY, 1992, WATER RESOUR RES, V28, P1015 27862 EISELE M, 2002, HYDROLOG SCI J, V47, P753 27863 FINK M, 2004, THESIS U CHEMISCH GE 27864 HORNBERGER GM, 1994, BIOGEOCHEMISTRY, V25, P147 27865 HUNDECHA Y, 2001, HYDROLOG SCI J, V46, P363 27866 JASPER K, 2002, J HYDROL, V267, P40 27867 KRASNOPOLSKY VM, 2006, ECOL MODEL, V191, P5 27868 KUNSTMANN H, 2005, J HYDROL, V314, P105 27869 LEGATES DR, 1999, WATER RESOUR RES, V35, P233 27870 LINDENSCHMIDT KE, 2004, HYDROLOG SCI J, V49, P495 27871 LISCHEID G, 2004, HYDROL EARTH SYST SC, V8, P742 27872 MAMDANI EH, 1974, P I ELECTR ENG, V121, P1585 27873 MARTIN C, 2004, HYDROL PROCESS, V18, P1237 27874 OCAMPO CJ, 2006, WATER RESOUR RES, V42 27875 QUINN P, 2004, J HYDROL, V291, P197 27876 RODE M, 2001, PHYS CHEM EARTH PT B, V26, P635 27877 RUNKEL RL, 2004, US GEOL SURV TECH ME, V4, P69 27878 SCHAERER M, 2006, J HYDROL, V331, P484 27879 SCHULLA J, 2001, MODEL DESCRIPTION WA 27880 SHRESTHA BP, 1996, J WATER RES PL-ASCE, V122, P262 27881 SHULLA J, 1997, THESIS ETH ZURICH SW 27882 STIEGLITZ M, 2003, GLOBAL BIOGEOCHEM CY, V17 27883 VANHERPE Y, 2000, HYDROL PROCESS, V14, P2439 27884 WRIEDT G, 2006, ADV GEOSCIENCES, V9, P145 27885 ZADEH LA, 1965, FUZZY SETS INFORMATI, V8, P338 27886 NR 39 27887 TC 0 27888 PU ELSEVIER SCIENCE BV 27889 PI AMSTERDAM 27890 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 27891 SN 0022-1694 27892 J9 J HYDROL 27893 JI J. Hydrol. 27894 PD AUG 15 27895 PY 2007 27896 VL 342 27897 IS 1-2 27898 BP 143 27899 EP 156 27900 PG 14 27901 SC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources 27902 GA 201WD 27903 UT ISI:000248862400011 27904 ER 27905 27906 PT J 27907 AU Pastor, M 27908 Garcia-Vila, M 27909 Soriano, MA 27910 Vega, V 27911 Fereres, E 27912 AF Pastor, M. 27913 Garcia-Vila, M. 27914 Soriano, M. A. 27915 Vega, V. 27916 Fereres, E. 27917 TI Productivity of olive orchards in response to tree density 27918 SO JOURNAL OF HORTICULTURAL SCIENCE & BIOTECHNOLOGY 27919 LA English 27920 DT Article 27921 ID EFFICIENCY; GROWTH; YIELD; WATER 27922 AB Tree density in newly planted olive orchards has been increasing 27923 steadily as part of the intensification of olive oil production. 27924 Because of the importance that harvest costs have on the profitability 27925 of this crop, the mechanisation of harvesting operations has been an 27926 important goal. Hedgerow plantations at very high densities have been 27927 proposed as a means of reducing harvest costs by using an over-the-tree 27928 harvester. We conducted an 8-year experiment in Cordoba, Southern 27929 Spain, to evaluate the performance of olive orchards at four planting 27930 densities that included: a) the conventional density under irrigated 27931 conditions of 204 trees ha(-1) (7 m x 7 m; D1); b) 408 trees ha(-1) (7 27932 m x 3.5 m; 132); 816 trees ha(-1) (3.5 m x 3.5 m; D3); and, almost 27933 1,904 trees ha(-1) (3.5 m x 1.5 m; D4), the recommended density for the 27934 hedgerow system. Yields for the first 3 years of production were 27935 highest in D4, reaching almost 20 t fruit ha(-1) in year-3. Thereafter, 27936 the need for topping the D4 canopy to 2.5 m, to adapt it to the 27937 harvester, reduced D4 yields drastically. The relationships between 27938 intercepted radiation, vegetative growth, and reproductive development 27939 at the branch level, were explored in D4 canopies in 2005 to understand 27940 the effect of shading on yield-determining processes. At the end of the 27941 sixth producing year, the cumulative fruit production of D4 was 60,096 27942 kg ha(-1), while the yields of D1, D2, and D3 were 32,513; 60,125 and 27943 76,149 kg ha(-1), respectively. Fruit oil content in D4 was less than 27944 in all the other densities, and cumulative oil yields for the first six 27945 producing years were 6,829; 12,853; 14,973 and 10,113 kg ha(-1) for D1, 27946 D2, D3 and D4, respectively. It is concluded that the hedgerow system, 27947 in its current form and management, is less productive and probably 27948 less sustainable than orchards planted at densities such as that of D2. 27949 C1 CSIC, Inst Agr Sostensible, Cordoba 14080, Spain. 27950 Univ Cordoba, Dept Agron, E-14080 Cordoba, Spain. 27951 IFAPA, Cordoba 14080, Spain. 27952 RP Fereres, E, CSIC, Inst Agr Sostensible, Apdo 4084, Cordoba 14080, Spain. 27953 EM ag1fecae@uco.es 27954 CR *FAO, 2006, FAOSTAT 27955 ACEBO MM, 2000, ADV HORTICULTURAL SC, V14, P169 27956 CASTILLOLLANQUE.FJ, 2006, THESIS U CORDOBA SPA 27957 CATALANA A, 2002, OLINT, V5, P11 27958 DELRIO C, 2005, VARIEDADES OLIVO ESP, P247 27959 DEVRIES FWT, 1974, J THEOR BIOL, V45, P339 27960 FREEMAN M, 1994, U CALIFORNIA PUBLICA, V3353, P77 27961 GILRIBES J, 2004, CULTIVO OLIVO, P419 27962 GRATTAN SR, 2006, AGR WATER MANAGE, V85, P133 27963 HAMPSON CR, 2002, HORTSCIENCE, V37, P627 27964 HARTMANN HT, 1986, OLIVAE, V11, P24 27965 HIDALGO FJ, 2003, TRENDS FOOD SCI TECH, V14, P499 27966 JACKSON JE, 1980, HORTIC REV, V2, P208 27967 MARISCAL MJ, 2000, TREE PHYSIOL, V20, P65 27968 MONTEITH JL, 1977, PHILOS T ROY SOC B, V281, P277 27969 MORETTINI A, 1972, OLIVICOLTURA 27970 ORGAZ F, 2006, IRRIGATION SCI, V24, P77 27971 ORTEGA JM, 1950, B I INVESTIGACIONES, P81 27972 PASTOR M, 1989, PODA OLIVO MODERNA O 27973 PASTOR M, 1998, SERIES MONOGRAFICAS, V2298, P59 27974 PASTOR M, 2005, CULTIVO OLIVO RIEGO, P627 27975 PROIETTI P, 1996, ADV HORT SCI, V10, P11 27976 PSYLLAKIS N, 1981, ACTAS SEMINAIRE INT, P95 27977 RALLO L, 2004, CULTIVO OLIVO, P125 27978 RAPOPORT HF, 2004, CULTIVO OLIVO, P37 27979 SIBBETT GS, 1994, US PUBLICATION U CAL, V3353, P31 27980 TODOLIVO, 2006, TIERRA VIDA, V335, P20 27981 TOMBESI A, 1986, RIV ORTOFLOROFRUTTIC, V70, P277 27982 TOMBESI A, 1994, ACTA HORTIC, V356, P225 27983 TOMBESI A, 1999, ACTA HORTIC, V474, P255 27984 TOUS J, 1999, ACTA HORTIC, V474, P177 27985 TOUS J, 2003, AGRICULTURA, V851, P346 27986 TOUS J, 2005, ACTAS PORTUGUESAS HO, V6, P596 27987 VILLAOBOS FJ, 2006, EUR J AGRON, V24, P296 27988 NR 34 27989 TC 0 27990 PU HEADLEY BROTHERS LTD 27991 PI ASHFORD 27992 PA INVICTA PRESS, ASHFORD TN24 8HH, KENT, ENGLAND 27993 SN 1462-0316 27994 J9 J HORTIC SCI BIOTECHNOL 27995 JI J. Horticult. Sci. Biotechnol. 27996 PD JUL 27997 PY 2007 27998 VL 82 27999 IS 4 28000 BP 555 28001 EP 562 28002 PG 8 28003 SC Horticulture 28004 GA 199ZT 28005 UT ISI:000248734400010 28006 ER 28007 28008 PT J 28009 AU O'Mahony, S 28010 Mazur, E 28011 Charney, P 28012 Wang, Y 28013 Fine, J 28014 AF O'Mahony, Stephen 28015 Mazur, Eric 28016 Charney, Pamela 28017 Wang, Yun 28018 Fine, Jonathan 28019 TI Use of multidisciplinary rounds to simultaneously improve quality 28020 outcomes, enhance resident education, and shorten length of stay 28021 SO JOURNAL OF GENERAL INTERNAL MEDICINE 28022 LA English 28023 DT Article 28024 DE quality improvement; residency education; health care costs; 28025 communication; performance measurement 28026 ID CARE; TRIAL; MANAGEMENT; PNEUMONIA; FAILURE 28027 AB Background: Hospital-based clinicians and educators face a difficult 28028 challenge trying to simultaneously improve measurable quality, educate 28029 residents in line with ACGME core competencies, while also attending to 28030 fiscal concerns such as hospital length of stay (LOS). 28031 Objective: The purpose of this study was to determine the effect of 28032 multidisciplinary rounds (MDR) on quality core measure performance, 28033 resident education, and hospital length of stay. 28034 Design: Pre and post observational study assessing the impact of MDR 28035 during its first year of implementation. 28036 Setting: The Norwalk Hospital is a 328-bed, university-affiliated 28037 community teaching hospital in an urban setting with a total of 44 28038 Internal Medicine residents. 28039 Methods: Joint Commission on Accreditation of Healthcare Organizations 28040 (JCAHO) core measure performance was obtained on a monthly basis for 28041 selected heart failure (CHF), pneumonia, and acute myocardial 28042 infarction (AMI) measures addressed on the general medical service. 28043 Resident knowledge and attitudes about MDR were determined by an 28044 anonymous questionnaire. LOS and monthly core measure performance rates 28045 were adjusted for patient characteristics and secular trends using 28046 linear spline logistic regression modeling. 28047 Results: Institution of MDR was associated with a significant 28048 improvement in quality core measure performance in targeted areas of 28049 CHF from 65% to 76% (p <.001), AMI from 89% to 96% (p=.004), pneumonia 28050 from 27% to 70% (p <.001), and all combined from 59% to 78% (p <.001). 28051 Adjusted overall monthly performance rates also improved during MDR 28052 (odds ratio [OR] 1.09, CI 1.06-1.12, p <.001). Residents reported 28053 substantial improvements in core measure knowledge, systems-based care, 28054 and communication after institution of MDR (p <.001). Residents also 28055 agreed that MDR improved efficiency, delivery of evidence-based care, 28056 and relationships with involved disciplines. Adjusted average LOS 28057 decreased 0.5 (95% CI 0.1-0.8) days for patients with a target core 28058 measure diagnosis of either CHF, pneumonia, or AMI (p <.01 ) and by 0.6 28059 (95% CI 0.5-0.7) days for all medicine DRGs (p <.001). 28060 Conclusions: Resident-centered MDR is an effective process using no 28061 additional resources that simultaneously improves quality of care while 28062 enhancing resident education and is associated with shortened length of 28063 stay. 28064 C1 Norwalk Hosp, Dept Med, Norwalk, CT 06856 USA. 28065 Yale Univ, Sch Med, New Haven, CT USA. 28066 Albert Einstein Coll Med, Bronx, NY 10467 USA. 28067 Yale Univ, Ctr Outcomes Res, New Haven, CT USA. 28068 Norwalk Hosp, Hinds Ctr Lung Studies & Hlth Informat, Norwalk, CT 06856 USA. 28069 RP O'Mahony, S, Norwalk Hosp, Dept Med, 24 Stevens St, Norwalk, CT 06856 28070 USA. 28071 EM stephen.omahony@norwalkhealth.org 28072 CR BRADLEY EH, 2001, JAMA-J AM MED ASSOC, V285 28073 CABANA MD, 1999, JAMA-J AM MED ASSOC, V282, P1458 28074 COLEMAN MT, 2003, JT COMM J QUAL SAF, V29, P238 28075 CREGIN R, 2002, AM J HEALTH-SYST PH, V59, P364 28076 CURLEY C, 1998, MED CARE AS, V36, P4 28077 DJURICICH AM, 2004, ACAD MED, V79, P65 28078 FAXON DP, 2004, CIRCULATION, V109, P2651 28079 FINE JM, 2002, ARCH INTERN MED, V162, P827 28080 JITAPUNKUL S, 1995, J MED ASS THAI, V78, P618 28081 LABRESH KA, 2003, JT COMM J QUAL SAF, V29, P539 28082 LANDEFELD CS, 1995, NEW ENGL J MED, V332, P1338 28083 LEE TH, 1995, ANN INTERN MED, V122, P434 28084 MCVEY LJ, 1989, ANN INTERN MED, V110, P79 28085 OGRINC G, 2003, ACAD MED, V78, P748 28086 RATHORE SS, 2006, AM HEART J, V152, P371 28087 TRIVEDI AN, 2005, NEW ENGL J MED, V353, P692 28088 TU GS, 2004, JOINT COMM J QUAL IM, V30, P25 28089 VITTINGHOFF E, 2005, REGRESSION MODELS BI 28090 VOSS JD, 2005, ACAD MED, V80, P129 28091 WEINGART SN, 2004, J GEN INTERN MED, V19, P861 28092 ZWARENSTEIN M, 2000, BRIT MED J, V320, P1022 28093 NR 21 28094 TC 0 28095 PU SPRINGER 28096 PI NEW YORK 28097 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 28098 SN 0884-8734 28099 J9 J GEN INTERN MED 28100 JI J. Gen. Intern. Med. 28101 PD AUG 28102 PY 2007 28103 VL 22 28104 IS 8 28105 BP 1073 28106 EP 1079 28107 PG 7 28108 SC Medicine, General & Internal 28109 GA 189SF 28110 UT ISI:000248008100002 28111 ER 28112 28113 PT J 28114 AU Chossis, I 28115 Lane, C 28116 Gache, P 28117 Michaud, PA 28118 Pecoud, A 28119 Rollnick, S 28120 Daeppen, JB 28121 AF Chossis, Isabelle 28122 Lane, Claire 28123 Gache, Pascal 28124 Michaud, Pierre-Andre 28125 Pecoud, Alain 28126 Rollnick, Stephen 28127 Daeppen, Jean-Bernard 28128 TI Effect of training on primary care residents' performance in brief 28129 alcohol intervention: A randomized controlled trial 28130 SO JOURNAL OF GENERAL INTERNAL MEDICINE 28131 LA English 28132 DT Article 28133 DE residents; primary care; performance; brief alcohol intervention 28134 ID IDENTIFICATION TEST AUDIT; USE DISORDERS; SUBSTANCE-ABUSE; BRIEF 28135 PHYSICIAN; NATIONAL-SURVEY; RELIABILITY; DRINKERS; CONSUMPTION; 28136 DRINKING; VALIDITY 28137 AB Background: Brief alcohol interventions (BAI) reduce alcohol use and 28138 related problems in primary care patients with hazardous drinking 28139 behavior. The effectiveness of teaching BAI on the performance of 28140 primary care residents has not been fully evaluated. 28141 Methods: A cluster randomized controlled trial was conducted with 26 28142 primary care residents who were randomized to either an 8-hour, 28143 interactive BAI training workshop (intervention) or a lipid management 28144 workshop (control). During the 6-month period after training (i.e., 28145 from October 1, 2003 to March 30, 2004), 506 hazardous drinkers were 28146 identified in primary care, 260 of whom were included in the study. 28147 Patients were interviewed immediately and then 3 months after meeting 28148 with each resident to evaluate their perceptions of the BAI experience 28149 and to document drinking patterns. 28150 Results: Patients reported that BAI trained residents: conducted more 28151 components of BAI than did controls (2.4 vs 1.5, p=.001); were more 28152 likely to explain safe drinking limits (27% vs 10%, p=.001) and provide 28153 feedback on patients' alcohol use (33% vs 21%, p=.03); and more often 28154 sought patient opinions on drinking limits (19% vs 6%, p=.02). No 28155 between-group differences were observed in patient drinking patterns or 28156 in use of 9 of the 12 BAI components. 28157 Conclusions: The BAI-trained residents did not put a majority of BAI 28158 components into practice, thus it is difficult to evaluate the 28159 influence of BAI on the reduction of alcohol use among hazardous 28160 drinkers. 28161 C1 Univ Lausanne Hosp, Alcohol Treatment Ctr, Lausanne, Switzerland. 28162 Univ Hosp Geneva, Univ Med Policlin, Geneva, Switzerland. 28163 Univ Lausanne Hosp, Adolescent Hlth Multidisciplinary Unit, Lausanne, Switzerland. 28164 Univ Lausanne Hosp, Univ Med Policlin, Lausanne, Switzerland. 28165 Univ Wales Coll Cardiff, Dept Gen Practice, Cardiff, S Glam, Wales. 28166 RP Daeppen, JB, Mont Paisible 16, CH-1011 Lausanne, Switzerland. 28167 EM jean-bernard.daeppen@chuv.ch 28168 CR 2000, SCHWEIZ ARZTEZEITUNG, V780, P1593 28169 *MRC, 2000, FRAM DEV EV RAND CON 28170 *NAT I ALC AB ALCH, 1995, PHYS GUID HELP PAT A 28171 ADAMS A, 1998, J GEN INTERN MED, V13, P692 28172 AMRHEIN PC, 2003, J CONSULT CLIN PSYCH, V71, P862 28173 BABOR TF, 2004, SUBST ABUS, V25, P17 28174 BEICH A, 2002, BRIT MED J, V325, P870 28175 BENDTSEN P, 1999, ALCOHOL ALCOHOLISM, V34, P795 28176 BERG AO, 2004, ANN INTERN MED, V140, P554 28177 BERTHOLET N, 2005, ARCH INTERN MED, V165, P986 28178 BREWSTER JM, 1990, CAN MED ASSOC J, V143, P1076 28179 BUCHSBAUM DG, 1993, ARCH INTERN MED, V153, P1573 28180 BUSH K, 1998, ARCH INTERN MED, V158, P1789 28181 CZARNECKI DM, 1990, J STUD ALCOHOL, V51, P68 28182 DAEPPEN JB, 2000, ALCOHOL CLIN EXP RES, V24, P659 28183 DAEPPEN JB, 2003, VADE MECUM ALCOOLOGI 28184 DONNER A, 2000, DESIGN ANAL CLUSTER 28185 EMBREE BG, 1993, J STUD ALCOHOL, V54, P334 28186 FLEMING M, 1994, ACAD MED, V69, P362 28187 FLEMING MF, 1997, JAMA-J AM MED ASSOC, V277, P1039 28188 FLEMING MF, 1999, J FAM PRACTICE, V48, P725 28189 FRIEDMANN PD, 2000, J GEN INTERN MED, V15, P84 28190 GACHE P, 2005, ALCOHOL CLIN EXP RES, V29, P2001 28191 KING AM, 1994, TEACH LEARN MED, V6, P6 28192 KRISTENSON H, 1983, ALCOHOL CLIN EXP RES, V7, P203 28193 LONGNECKER MP, 1992, EPIDEMIOLOGY, V3, P535 28194 MILLER WR, 2002, MOTIVATIONAL INTERVI 28195 MOYER A, 2002, ADDICTION, V97, P279 28196 OCKENE JK, 1997, ARCH INTERN MED, V157, P2334 28197 OCKENE JK, 1999, ARCH INTERN MED, V159, P2198 28198 ROLLNICK S, 2005, BRIT MED J, V331, P961 28199 SAITZ R, 1997, AM J DRUG ALCOHOL AB, V23, P343 28200 SAITZ R, 2002, J GEN INTERN MED, V17, P373 28201 SAITZ R, 2003, ANN INTERN MED, V138, P372 28202 SEALE JP, 2005, BMC FAM PRACT, V6, P46 28203 STEWART M, 2003, PATIENT CENTERED MED 28204 STILLMAN PL, 1993, ACAD MED, V68, P464 28205 WILK AI, 1997, J GEN INTERN MED, V12, P274 28206 WILK AI, 2002, J GEN INTERN MED, V17, P356 28207 NR 39 28208 TC 0 28209 PU SPRINGER 28210 PI NEW YORK 28211 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 28212 SN 0884-8734 28213 J9 J GEN INTERN MED 28214 JI J. Gen. Intern. Med. 28215 PD AUG 28216 PY 2007 28217 VL 22 28218 IS 8 28219 BP 1144 28220 EP 1149 28221 PG 6 28222 SC Medicine, General & Internal 28223 GA 189SF 28224 UT ISI:000248008100013 28225 ER 28226 28227 PT J 28228 AU Werner, RM 28229 Greenfield, S 28230 Fung, C 28231 Turner, BJ 28232 AF Werner, Rachel M. 28233 Greenfield, Sheldon 28234 Fung, Constance 28235 Turner, Barbara J. 28236 TI Measuring quality of care in patients with multiple clinical 28237 conditions: Summary of a conference conducted by the society of general 28238 internal medicine 28239 SO JOURNAL OF GENERAL INTERNAL MEDICINE 28240 LA English 28241 DT Article 28242 DE performance measurement; quality measures; clinically complex patients 28243 ID PAY-FOR-PERFORMANCE; COMPETING DEMANDS; DISEASE; DELIVERY; COMORBIDITY; 28244 DEPRESSION; GUIDELINES; MANAGEMENT; PROFILES; SYSTEM 28245 AB Performance measurement has been widely advocated as a means to improve 28246 health care delivery and, ultimately, clinical outcomes. However, the 28247 evidence supporting the value of using the same quality measures 28248 designed for patients with a single clinical condition in patients with 28249 multiple conditions is weak. If clinically complex patients, defined 28250 here as patients with multiple clinical conditions, present greater 28251 challenges to achieving quality goals, providers may shun them or 28252 ignore important, but unmeasured, clinical issues. This paper 28253 summarizes the proceedings of a conference addressing the challenge of 28254 measuring quality of care in the patient with multiple clinical 28255 conditions with the goal of informing the implementation of quality 28256 measurement systems and future research programs on this topic. The 28257 conference had three main areas of discussion. First, the potential 28258 problems caused by applying current quality standards to patients with 28259 multiple conditions were examined. Second, the advantages and 28260 disadvantages of three strategies to improve quality measurement in 28261 clinically complex patients were evaluated: excluding certain 28262 clinically complex patients from a given standard, relaxing the 28263 performance target, and assigning a greater weight to some measures 28264 based on the expected clinical benefit or difficulty of reaching the 28265 performance target. Third, the strengths and weaknesses of potential 28266 novel measures such change in functional status were considered. The 28267 group concurred that, because clinically complex patients present a 28268 threat to the implementation of quality measures, high priority must be 28269 assigned to a research agenda on this topic. This research should 28270 evaluate the impact of quality measurement on these patients and expand 28271 the range of quality measures relevant to the care of clinically 28272 complex patients. 28273 C1 Philadelphia VAMC, Ctr Hlth Equity Res & Promot, Philadelphia, PA USA. 28274 Univ Penn, Sch Med, Div Gen Internal Med, Philadelphia, PA 19104 USA. 28275 Univ Penn, Leonard Davis Inst Hlth Econ, Philadelphia, PA 19104 USA. 28276 Univ Calif Irvine, Dept Med, Irvine, CA 92717 USA. 28277 Univ Calif Irvine, Ctr Hlth Policy Res, Irvine, CA 92717 USA. 28278 VA Greater Los Angeles Healthcare Syst, Div Gen Internal Med, Los Angeles, CA USA. 28279 Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA USA. 28280 RAND Corp, Santa Monica, CA USA. 28281 RP Werner, RM, 1230 Blockley Hall,423 Guardian Dr, Philadelphia, PA 19104 28282 USA. 28283 EM rwerner@mail.med.upenn.edu 28284 CR *AG HEALTHC RES QU, 2007, CAHPS SURV TOOLS 28285 *AM BOARD INT MED, PRACT IMPR MOD 28286 *CTR MED MED SERV, HOSP QUAL IN 28287 *JOINT COMM ACCR H, PUBL POL PRINC CONST 28288 ANDERSON G, 2001, HEALTH AFFAIR, V20, P146 28289 ANDERSON G, 2002, CHRONIC CONDITIONS M 28290 BOYD CM, 2005, JAMA-J AM MED ASSOC, V294, P716 28291 CHRISTIANSON JB, 2006, J GEN INTERN MED S2, V21, S9 28292 DORAN T, 2006, NEW ENGL J MED, V355, P375 28293 DRURSO SC, 2006, JAMA-J AM MED ASSOC, V295, P1935 28294 FISCELLA K, 1999, ANN INTERN MED, V131, P745 28295 FORTIN M, 2006, ANN FAM MED, V4, P104 28296 FRANKS P, 2002, MED CARE, V40, P717 28297 GREENFIELD S, 1993, MED CARE, V31, P141 28298 GREENFIELD S, 1995, MED CARE S, V33, P47 28299 GREENFIELD S, 2007, AM J MED S4A, V120, S3 28300 GROSSBART SR, 2006, MED CARE RES REV S, V63, S29 28301 HIPPISLEYCOX J, 2004, BRIT MED J, V329, P1267 28302 IEZZONI L, 1997, RISK ADJUSTMENT MEAS 28303 JAEN CR, 1994, J FAM PRACTICE, V38, P166 28304 KRAVITZ RL, 2004, MILBANK Q, V82, P661 28305 LEVINSCHERZ J, 2006, MED CARE RES REV S, V63, S14 28306 LITWIN MS, 2007, IN PRESS CANCER 28307 NICHOLS LM, 2006, HEALTH AFFAIR, V25, P81 28308 NUTTING PA, 2000, ARCH FAM MED, V9, P1059 28309 NUTTING PA, 2001, J AM BOARD FAM PRACT, V14, P352 28310 PARCHMAN ML, 2005, MED CARE, V43, P1123 28311 PIETTE JD, 2006, DIABETES CARE, V29, P725 28312 REDELMEIER DA, 1998, NEW ENGL J MED, V338, P1516 28313 ROST K, 2000, ARCH FAM MED, V9, P150 28314 SAFRAN DG, 1998, MED CARE, V36, P728 28315 SAFRAN DG, 2006, J GEN INTERN MED, V21, P13 28316 SHEIFER SE, 2000, AM HEART J, V139, P848 28317 STARFIELD B, 2006, ANN FAM MED, V4, P101 28318 TINETTI ME, 2004, NEW ENGL J MED, V351, P2870 28319 NR 35 28320 TC 0 28321 PU SPRINGER 28322 PI NEW YORK 28323 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 28324 SN 0884-8734 28325 J9 J GEN INTERN MED 28326 JI J. Gen. Intern. Med. 28327 PD AUG 28328 PY 2007 28329 VL 22 28330 IS 8 28331 BP 1206 28332 EP 1211 28333 PG 6 28334 SC Medicine, General & Internal 28335 GA 189SF 28336 UT ISI:000248008100024 28337 ER 28338 28339 PT J 28340 AU Zugarramurdi, A 28341 Parin, MA 28342 Gadaleta, L 28343 Lupin, HM 28344 AF Zugarramurdi, Aurora 28345 Parin, Maria A. 28346 Gadaleta, Liliana 28347 Lupin, Hector M. 28348 TI A quality cost model for food processing plants 28349 SO JOURNAL OF FOOD ENGINEERING 28350 LA English 28351 DT Article 28352 DE HACCP; quality costs; food; fish freezing plant 28353 ID RAW-MATERIAL QUALITY; FISH; INVESTMENT 28354 AB A HACCP-based system is a recognized food safety management program 28355 aiming at the control of all the factors affecting food safety. It is 28356 also possible to add factors related to food quality. To evaluate the 28357 effectiveness of a quality system, a realistic estimate of quality 28358 costs is essential. The purpose of this work is to develop a 28359 mathematical model for the calculation of the costs associated with a 28360 specific quality level due to HACCP-based system implementation. 28361 Experimental results obtained at Argentinean hake freezing plants 28362 (Merluccius hubbsi) are presented and compared with those calculated 28363 with the proposed model. The proportion of variance explained by the 28364 model was 0.903 for total quality costs; proving its optimum 28365 performance. (c) 2007 Elsevier Ltd. All rights reserved. 28366 C1 INTI Mar del Plata CIC, So Reg Ctr, RA-7600 Mar Del Plata, Argentina. 28367 FAO, DANIDA Traning Programme, Fishery Ind Div, I-00100 Rome, Italy. 28368 RP Zugarramurdi, A, INTI Mar del Plata CIC, So Reg Ctr, Marcelo T Alvear 28369 1168, RA-7600 Mar Del Plata, Argentina. 28370 EM auroraz@inti.gov.ar 28371 CR 1989, QUALITY MANAGEMENT P 28372 *ECOLAB INC, 1997, SAN PROC EV CONTR SY 28373 *FOOD STAND AG, 2002, MEAT HAZ AN CRIT CON 28374 *NAT MAR FISH SERV, 1990, HACCP REG MOD RAW FI 28375 *NOOA, 1993, REP MOD SEAF SURV PR 28376 *SENASA, 1996, ANAL RIESGOS PUNTOS 28377 *US FDA, 2001, AN EV PREV CONTR MEA 28378 BONNELL AD, 1994, QUALITY ASSURANCE SE 28379 COLATORE C, 2000, EC HACCP COSTS BENEF, P45 28380 CRUPKIN M, 1996, J AQUAT FOOD PROD T, V5, P29 28381 DEODHAR SY, 2003, MOTIVATION COST HACC 28382 DUNSMORE DG, 1983, FOOD TECHNOL AUST, V35, P566 28383 FEIGENBAUM AV, 1974, TOTAL QUALITY CONTRO 28384 GADALETA L, 2003, REV TECNOLOGIA HIGIE, V343, P41 28385 GALL K, 2000, NAT SEAF IND HACCP I 28386 GIANNINI D, 2001, J FOOD QUALITY, V24, P527 28387 GOLAN EH, 2000, EC HACCP COSTS BENEF, P149 28388 GOULD W, 1993, TOTAL QUALITY ASSURA 28389 HENSON S, 1999, FOOD CONTROL, V10, P99 28390 HUBBARD MR, 1996, STAT QUALITY CONTROL 28391 HUSS HH, 1994, 334 FAO 28392 HUSS HH, 1995, 348 FAO 28393 JELEN FC, 1983, COST OPTIMIZATION EN 28394 JENSEN HH, 2000, EC HACCP COSTS BENEF, P29 28395 MONTANER MI, 1994, REV TECNOLOGIA HIGIE, V253, P19 28396 MONTANER MI, 1994, REV TECNOLOGIA HIGIE, V254, P81 28397 MONTANER MI, 1995, INT J PROD ECON, V40, P153 28398 OLLINGER M, 2004, USDA TECHNICAL B, V1911 28399 PARIN MA, 1994, INT J PROD ECON, V34, P83 28400 SAITA M, 1991, EC QUALITA STRATEGIA, P9 28401 SANDHOLM L, 1987, INT TRADE FORUM OCT, P26 28402 SOMSEN D, 2002, TRENDS FOOD SCI TECH, V13, P136 28403 VALDIMARSON G, 1992, QUALITY ASSURANCE FI, P169 28404 ZIGGERS GW, 2000, EC HACCP COSTS BENEF, P269 28405 ZUGARRAMURDI A, 1988, ENG COSTS PROD EC, V13, P89 28406 ZUGARRAMURDI A, 1995, 351 FAO 28407 ZUGARRAMURDI A, 1999, ADV SEM IMPL EC HACC 28408 ZUGARRAMURDI A, 2000, EC HACCP COSTS BENEF, P403 28409 ZUGARRAMURDI A, 2004, FOOD CONTROL, V15, P503 28410 NR 39 28411 TC 0 28412 PU ELSEVIER SCI LTD 28413 PI OXFORD 28414 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND 28415 SN 0260-8774 28416 J9 J FOOD ENG 28417 JI J. Food Eng. 28418 PD DEC 28419 PY 2007 28420 VL 83 28421 IS 3 28422 BP 414 28423 EP 421 28424 PG 8 28425 SC Engineering, Chemical; Food Science & Technology 28426 GA 198RH 28427 UT ISI:000248644700010 28428 ER 28429 28430 PT J 28431 AU Endres, KL 28432 Mayer, A 28433 Hand, DW 28434 AF Endres, Karen L. 28435 Mayer, Alex 28436 Hand, David W. 28437 TI Equilibrium versus nonequilibrium treatment modeling in the optimal 28438 design of pump-and-treat groundwater remediation systems 28439 SO JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE 28440 LA English 28441 DT Article 28442 ID GRANULAR ACTIVATED CARBON; HETEROGENEOUS POROUS-MEDIA; MASS-TRANSFER; 28443 ORGANIC-CHEMICALS; SOLUTE TRANSPORT; ALGORITHM; ADSORBERS; PERFORMANCE; 28444 ADSORPTION; MANAGEMENT 28445 AB The present work proposes that the incorporation of granular activated 28446 carbon (GAC) treatment model that accounts for nonequilibrium 28447 adsorption into the optimal design of pump-and-treat systems will 28448 result in more realistic costs and better-engineered remediation 28449 systems. It was found that, when nonequilibrium GAC adsorption effects 28450 are considered, the predicted cost of optimal remediation strategies 28451 increases consistently when compared to costs obtained assuming 28452 equilibrium GAC adsorption, for a wide range of cleanup goals. This 28453 finding implies that when simpler equilibrium models are used for GAC 28454 adsorption, cleanup costs will be underestimated. GAC treatment costs 28455 are shown to be particularly sensitive to the degree of mass transfer 28456 limitations in the aquifer-contaminant system, especially when 28457 nonequilibrium GAC adsorption is accounted for. Time-varying pumping 28458 rates are shown to produce more efficient remediation solutions; the 28459 increase in efficiency is even more pronounced when nonequilibrium GAC 28460 adsorption is accounted for. Further results show that the optimal 28461 remediation designs can be significantly more efficient when the number 28462 of GAC adsorber units is selected through optimization. 28463 C1 Michigan Technol Univ, Dept Geol & Min Engn & Sci, Houghton, MI 49931 USA. 28464 Michigan Technol Univ, Dept Civil & Environm Engn, Houghton, MI 49931 USA. 28465 RP Mayer, A, Michigan Technol Univ, Dept Geol & Min Engn & Sci, 1400 28466 Townsend Dr, Houghton, MI 49931 USA. 28467 EM asmayer@mtu.edu 28468 CR AKSOY A, 2000, GROUND WATER, V38, P200 28469 CHANG LC, 1992, WATER RESOUR RES, V28, P3157 28470 COATS KH, 1964, SOC PETROL ENGR J, V4, P73 28471 CRITTENDEN JC, 1987, J AM WATER WORKS ASS, V79, P74 28472 CRITTENDEN JC, 1987, J ENVIRON ENG-ASCE, V113, P1363 28473 CULVER TB, 1997, J WATER RES PL-ASCE, V123, P23 28474 CULVER TB, 1998, J WATER RES PL-ASCE, V124, P59 28475 ERICKSON M, 2002, ADV WATER RESOUR, V25, P51 28476 FEEHLEY CE, 2000, WATER RESOUR RES, V36, P2501 28477 GORELICK SM, 1982, WATER RESOUR RES, V18, P71 28478 HAGGERTY R, 1994, WATER RESOUR RES, V30, P435 28479 HAGGERTY R, 1995, WATER RESOUR RES, V31, P2383 28480 HAND DW, 1984, J ENVIRON ENG-ASCE, V110, P440 28481 HAND DW, 1989, J AM WATER WORKS ASS, V81, P67 28482 HAND DW, 1997, WATER SCI TECHNOL, V35, P235 28483 HUANG CL, 1997, WATER RESOUR RES, V33, P1001 28484 JARVIE ME, 2005, WATER RES, V39, P2407 28485 LABOLLE EM, 1996, WATER RESOUR RES, V32, P583 28486 MAXWELL RM, 1909, THESIS U CALIFORNIA 28487 MCKINNEY DC, 1994, WATER RESOUR RES, V30, P1897 28488 RITZEL BJ, 1994, WATER RESOUR RES, V30, P1589 28489 SARDIN M, 1991, WATER RESOUR RES, V27, P2287 28490 SONTHEIMER H, 1988, ACTIVATED CARBON WAT 28491 VALOCCHI AJ, 1985, WATER RESOUR RES, V21, P808 28492 VANGENUCHTEN MT, 1982, TECHNICAL B, V1661 28493 WEBER WJ, 1972, PHYSICOCHEMICAL PROC 28494 YU M, 1998, P 12 INT C COMP METH 28495 ZHANG ZH, 1999, WATER RESOUR RES, V35, P2921 28496 NR 28 28497 TC 0 28498 PU ASCE-AMER SOC CIVIL ENGINEERS 28499 PI RESTON 28500 PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA 28501 SN 0733-9372 28502 J9 J ENVIRON ENG-ASCE 28503 JI J. Environ. Eng.-ASCE 28504 PD AUG 28505 PY 2007 28506 VL 133 28507 IS 8 28508 BP 809 28509 EP 818 28510 PG 10 28511 SC Engineering, Environmental; Engineering, Civil; Environmental Sciences 28512 GA 190YT 28513 UT ISI:000248097500005 28514 ER 28515 28516 PT J 28517 AU Wissgott, C 28518 Richter, A 28519 Kamusella, P 28520 Steinkamp, HJ 28521 AF Wissgott, Christian 28522 Richter, Andre 28523 Kamusella, Peter 28524 Steinkamp, Hermann J. 28525 TI Treatment of critical limb ischemia using ultrasound-enhanced 28526 thrombolysis (PARES trial): Final results 28527 SO JOURNAL OF ENDOVASCULAR THERAPY 28528 LA English 28529 DT Article 28530 DE lower limb arteries; critical limb ischemia; occlusion; femoropopliteal 28531 segment; ultrasound; thrombolysis; recombinant tissue plasminogen 28532 activator 28533 ID TISSUE-PLASMINOGEN-ACTIVATOR; PERIPHERAL ARTERIAL OCCLUSIONS; 28534 PROSPECTIVE RANDOMIZED TRIAL; LOWER-EXTREMITY ISCHEMIA; INITIAL 28535 TREATMENT; UROKINASE; THROMBECTOMY; MANAGEMENT; CATHETER; SURGERY 28536 AB Purpose: To evaluate the safety and performance of ultrasound-enhanced 28537 thrombolysis in the treatment of acute thrombotic or embolic occlusion 28538 of the lower limb arteries. 28539 Methods: From April 2005 to July 2006, 25 patients (15 men; mean age 28540 64.1 years, range 3782) presenting with acute (<14 days old) occlusions 28541 of the lower limb arteries were treated with local thrombolysis 28542 [recombinant tissue plasminogen activator (rtPA)] in a dosage of 1.0 28543 mg/h using the EKOS Lysus Peripheral Catheter System with an ultrasound 28544 core. No bolus injection of rtPA was given. The mean occlusion length 28545 was 25.1 cm (range 2-70). 28546 Results: The technical success rate was 100%. Total clot removal was 28547 achieved in 22 (88%) patients after 16.9 hours (range 5-24) using a 28548 mean 17 mg (range 5-25) of rtPA. In 8 cases, total clot removal of the 28549 main lesion was achieved after 6 hours (6 mg of rtPA). In 1 patient, 28550 lysis was stopped after 2.5 hours because of bleeding due a dislocation 28551 of the introducer sheath. In 2 cases, total clot removal could not be 28552 achieved; these patients were successfully treated with 28553 thromboaspiration. At the 1-month follow-up, the treated vessel was 28554 still patent in 20 patients. Two reocclusions occurred; 1 was treated 28555 with a bypass graft and the other with conservative therapy. There were 28556 no cases of amputation or death during follow-up. There were no side 28557 effects related to rtPA or the catheter system. 28558 Conclusion: This study demonstrates that local lysis of acute arterial 28559 occlusions using the Lysus Peripheral Catheter System is safe and 28560 effective. Blood flow is restored quickly. 28561 C1 DRK Kliniken Mark Brandenburg, Dept Radiol, D-13359 Berlin, Germany. 28562 RP Wissgott, C, DRK Kliniken Mark Brandenburg, Dept Radiol, Drontheimerstr 28563 39, D-13359 Berlin, Germany. 28564 EM cwissgott@gmx.de 28565 CR BERRIDGE DC, 1991, BRIT J SURG, V78, P988 28566 BILDSOE MC, 1989, RADIOLOGY, V171, P231 28567 BRAATEN JV, 1997, THROMB HAEMOSTASIS, V78, P1063 28568 BRAITHWAITE BD, 1997, BRIT J SURG, V84, P646 28569 DECRINIS M, 1993, EUR HEART J, V14, P297 28570 DRASLER WJ, 1992, RADIOLOGY, V182, P263 28571 FRANCIS CW, 1995, ULTRASOUND MED BIOL, V21, P419 28572 GRAOR RA, 1994, ANN SURG, V220, P251 28573 HESS H, 1996, EUR J VASC ENDOVASC, V12, P97 28574 LAVANIER GL, 1992, EMERG MED CLIN NA, V10, P103 28575 MOTARJEME A, 2007, J ENDOVASC THER, V14, P251 28576 OURIEL K, 1994, J VASC SURG, V19, P1021 28577 OURIEL K, 1998, NEW ENGL J MED, V338, P1105 28578 OURIEL K, 1999, J VASC INTERV RADIOL, V10, P1083 28579 REEKERS JA, 1993, RADIOLOGY, V188, P871 28580 RITCHIE JL, 1989, CIRCULATION, V73, P1006 28581 RUTHERFORD RB, 1997, J VASC SURG, V26, P517 28582 SCHMITZRODE T, 1991, RADIOLOGY, V178, P677 28583 SCHWEIZER J, 1996, EUR J RADIOL, V22, P129 28584 SIDDIQI F, 1998, BLOOD, V91, P2019 28585 TACHIBANA K, 1992, J VASC INTERV RADIOL, V3, P299 28586 WARD AS, 1994, ARCH SURG-CHICAGO, V129, P861 28587 YEAGER RA, 1992, J VASC SURG, V15, P385 28588 NR 23 28589 TC 0 28590 PU ALLIANCE COMMUNICATIONS GROUP DIVISION ALLEN PRESS 28591 PI LAWRENCE 28592 PA 810 EAST 10TH STREET, LAWRENCE, KS 66044 USA 28593 SN 1526-6028 28594 J9 J ENDOVASCULAR THERAPY 28595 JI J. Endovascular Ther. 28596 PD AUG 28597 PY 2007 28598 VL 14 28599 IS 4 28600 BP 438 28601 EP 443 28602 PG 6 28603 SC Surgery; Peripheral Vascular Disease 28604 GA 200WU 28605 UT ISI:000248794300002 28606 ER 28607 28608 PT J 28609 AU Lavy, S 28610 Shohet, IM 28611 AF Lavy, Sarel 28612 Shohet, Igal M. 28613 TI Computer-aided healthcare facility management 28614 SO JOURNAL OF COMPUTING IN CIVIL ENGINEERING 28615 LA English 28616 DT Article 28617 ID REASONING SYSTEMS; NEURAL-NETWORKS; KNOWLEDGE; MODELS; TIME 28618 AB The decision-making process in the field of health-care facility 28619 management is multifaceted and encompasses many different areas, 28620 including maintenance, performance, risk, operations, and development. 28621 Information and communications technologies are perceived as the 28622 interface that integrates these topics. The main objective of this 28623 research is to develop a decision-support system based on core 28624 parameters affecting the performance of health-care facilities. This 28625 paper presents the preliminary development of a quantitative integrated 28626 health-care facility management model, subdivided into the following 28627 three interfaces: input, reasoning evaluator and predictor, and output. 28628 The model proposes the following five modules: maintenance, performance 28629 and risk, energy and operations, business management. and development. 28630 It offers projection of maintenance costs, performance, and risk of 28631 built facilities in the health-care sector. The model hypotheses are 28632 that age, occupancy, and environment affect the maintenance of the 28633 facility. These factors are quantitatively developed and analyzed for 28634 performance-based maintenance planning, employing an occupancy 28635 coefficient and a projection of performance indicator. Simulations of 28636 the facility coefficient for different combinations of occupancy and 28637 environment reveal that the occupancy level is a major factor that 28638 causes an augmentation of more than 18% in the allocation of resources 28639 for maintenance compared with standard occupancy. Prediction of the 28640 performance score of a building is carried out using a nonlinear 28641 pattern for the structural components and linear patterns for the rest 28642 of the components. 28643 C1 Texas A&M Univ, Coll Architecture, Dept Construct Sci, College Stn, TX 77843 USA. 28644 Ben Gurion Univ Negev, Dept Struct Engn, Div Construct Management, IL-84105 Beer Sheva, Israel. 28645 RP Lavy, S, Texas A&M Univ, Coll Architecture, Dept Construct Sci, College 28646 Stn, TX 77843 USA. 28647 EM slavy@archmail.tamu.cdu 28648 igals@bgumail.bgu.ac.il 28649 CR *AHA, 2004, TRENDWATCH CHARTBOOK 28650 *BIFM, 2004, FAC MAN INTR 28651 *BPG, 1999, BPG BUILD FABR COMP 28652 *BRIT MIN FINS, 2003, BUDG 2003, CH6 28653 *CONSTR AUD LTD, 1999, HAPM COMP LIF MAN 28654 *FED STAT OFF GERM, 2003, FAC BEDS PAT TURN HO 28655 *IFMA, 2004, FM DEF 28656 ABIDI SSR, 2002, INT J MED INFORM, V68, P187 28657 AHA DW, 1998, KNOWL-BASED SYST, V11, P261 28658 ALLWEIL A, 1989, 3 RES REP LIFE CYCLE 28659 AMARATUNGA D, 2002, INT J HLTH CARE QUAL, V15, P277 28660 ARDITI D, 1999, J COMPUT CIVIL ENG, V13, P162 28661 ATKIN B, 2000, TOTAL FACILITIES MAN 28662 BENTUR A, 1997, STEEL CORROSION CONC 28663 BRANDON PS, 1998, CONSTR MANAGE EC, V16, P57 28664 BURKE EK, 2000, KNOWL-BASED SYST, V13, P159 28665 CECCARONI L, 2004, ENVIRON MODELL SOFTW, V19, P785 28666 CLARK L, 2000, FACILITIES, V18, P435 28667 DZENG RJ, 2004, AUTOMAT CONSTR, V13, P341 28668 GALLAGHER M, 1998, CONSTRUCTION PAPERS, P1 28669 GALLANT SI, 1993, NEURAL NETWORK LEARI 28670 GANESHAN R, 2001, J COMPUT CIVIL ENG, V15, P74 28671 HINKS J, 1999, FACILITIES, V17, P31 28672 HOSKING JE, 2003, J FACILITIES MANAGEM, V2, P214 28673 KIM GH, 2004, BUILD ENVIRON, V39, P1235 28674 KIM KJ, 2001, EXPERT SYST APPL, V21, P139 28675 LANGSTON C, 2002, STRATEGIC MANAGEMENT 28676 MELIN A, 2004, FACILITIES, V22, P284 28677 MORCOUS G, 2002, J COMPUT CIVIL ENG, V16, P104 28678 MOUBRAY J, 1997, REALIABILITY CENTRED 28679 NG TS, 2001, AUTOM CONSTR, V10, P443 28680 NUTT B, 1999, FACILITIES, V17, P11 28681 OZTURK P, 1998, INT J HUM-COMPUT ST, V48, P331 28682 PAYNE T, 1999, FACILITIES, V17, P217 28683 PROBERT D, 1999, J MANAGEMENT MED, V13, P308 28684 SADEK A, 2003, COMPUT-AIDED CIV INF, V18, P173 28685 SCARPONCINI P, 1996, J COMPUT CIVIL ENG, V10, P3 28686 SHEN Q, 1999, PRIORITY SETTING MAI 28687 SHEN QP, 1998, BUILD RES INF, V26, P169 28688 SHOHET GM, 2004, J CONSTR ENG M ASCE, V130, P249 28689 SHOHET IM, 2002, CONSTR MANAGE EC, V20, P305 28690 SHOHET IM, 2003, CONSTRUCTION MANAGEM, V21, P219 28691 SHOHET IM, 2004, CONSTR MANAGE EC, V22, P1081 28692 SHOHET IM, 2004, FACILITIES, V22, P129 28693 SHOHET IM, 2004, FACILITIES, V22, P213 28694 VANIER DJ, 2001, J COMPUT CIVIL ENG, V15, P35 28695 WARING TS, 2002, J MANAGEMENT MED, V16, P133 28696 WATSON I, 1999, KNOWL-BASED SYST, V12, P303 28697 YAU NJ, 1998, AUTOMAT CONSTR, V7, P271 28698 YU K, 2000, AUTOMAT CONSTR, V9, P145 28699 NR 50 28700 TC 0 28701 PU ASCE-AMER SOC CIVIL ENGINEERS 28702 PI RESTON 28703 PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA 28704 SN 0887-3801 28705 J9 J COMPUT CIVIL ENG 28706 JI J. Comput. Civil. Eng. 28707 PD SEP-OCT 28708 PY 2007 28709 VL 21 28710 IS 5 28711 BP 363 28712 EP 372 28713 PG 10 28714 SC Computer Science, Interdisciplinary Applications; Engineering, Civil 28715 GA 201FB 28716 UT ISI:000248815800008 28717 ER 28718 28719 PT J 28720 AU Ponzoni, M 28721 Ferreri, AJM 28722 Campo, E 28723 Facchetti, F 28724 Mazzucchelli, L 28725 Yoshino, T 28726 Murase, T 28727 Pileri, SA 28728 Doglioni, C 28729 Cavalli, EZF 28730 Nakamura, S 28731 AF Ponzoni, Maurilio 28732 Ferreri, Andres J. M. 28733 Campo, Elias 28734 Facchetti, Fabio 28735 Mazzucchelli, Luca 28736 Yoshino, Tadashi 28737 Murase, Takuhei 28738 Pileri, Stefano A. 28739 Doglioni, Claudio 28740 Cavalli, Emanuele Zucca Franco 28741 Nakamura, Shigeo 28742 TI Definition, diagnosis, and management of intravascular large B-Cell 28743 lymphoma: Proposals and perspectives from an international consensus 28744 meeting 28745 SO JOURNAL OF CLINICAL ONCOLOGY 28746 LA English 28747 DT Article 28748 ID MALIGNANT ANGIOENDOTHELIOMATOSIS; HEMOPHAGOCYTIC SYNDROME; ANGIOTROPIC 28749 LYMPHOMA; CHEMOTHERAPY; TRANSPLANTATION; RITUXIMAB; FEATURES; VARIANT; 28750 CHOP 28751 AB Intravascular large B-cell lymphoma ( IVLBCL) is a rare form of diffuse 28752 LBCL characterized by preferential intravascular growth of malignant 28753 lymphocytes, aggressive behavior, and an often fatal course. IVLBCL 28754 usually affects elderly patients with poor performance status, elevated 28755 lactic dehydrogenase serum levels, anemia, and B symptoms. It displays 28756 some differences in clinical presentation among diverse geographical 28757 areas, mostly between patients diagnosed in Western countries and 28758 Japan. In addition, data from the literature suggest that pathologic 28759 diagnostic criteria as well as clinical features of this disease may be 28760 broader than described in current classification scheme( s). Under the 28761 sponsorship of the International Extranodal Lymphoma Study Group, 28762 clinicians and pathologists with interest in IVLBCL, coming from 28763 Western and Eastern countries, joined to reach a consensus on defining 28764 features as well as to focus on the most urgent unresolved issues in 28765 IVLBCL. To this end, a representative group of IVLBCL patients coming 28766 from both the aforementioned geographical areas were collectively 28767 analyzed. Additional features of IVLBCL were proposed both under 28768 clinical and pathologic stand points. At the meeting, it emerged that 28769 IVLBCL may have additional histopathologic/cytologic definition 28770 criteria with respect to those currently recommended, some clinical 28771 features are not randomly distributed worldwide, recent therapeutic 28772 approaches, such as anti-CD20-containing regimens, may improve outcome, 28773 and kidney, spleen, and liver involvement may show peculiar 28774 histopathologic features. Finally, a provisional practical diagnostic 28775 approach to hemophagocytosis-associated patients and a proposal for the 28776 most useful criteria in the settings of differential diagnosis are 28777 included. 28778 C1 Ist Sci San Raffaele, Pathol Unit, Unit Lymphoma Malignancies, I-20132 Milan, Italy. 28779 Ist Sci San Raffaele, Oncol Unit, Unit Lymphoma Malignancies, I-20132 Milan, Italy. 28780 Univ Brescia, Sch Med, Spedali Civili, Dept Pathol 1, Brescia, Italy. 28781 Univ Bologna, Sch Med, Bologna, Italy. 28782 Univ Barcelona, Hosp Clin, Pathol Lab, Barcelona, Spain. 28783 Ist Patol, Locarno, Switzerland. 28784 Osped San Giovanni Bellinzona, Ist Oncol Svizzera Italiana, Bellinzona, Switzerland. 28785 Okayama Univ, Dept Pathol, Okayama, Japan. 28786 Nishi Municipal Hosp, Dept Internal Med, Aichi, Japan. 28787 Nagoya Univ, Dept Pathol & Clin Labs, Nagoya, Aichi, Japan. 28788 RP Ponzoni, M, Ist Sci San Raffaele, Pathol Unit, Unit Lymphoma 28789 Malignancies, Via Olgettina 60, I-20132 Milan, Italy. 28790 EM ponzoni.maurilio@hsr.it 28791 CR BAZHENOVA L, 2006, LEUKEMIA LYMPHOMA, V47, P337 28792 CARTER DK, 1996, MAYO CLIN PROC, V71, P869 28793 COIFFIER B, 2002, NEW ENGL J MED, V346, P235 28794 DIGIUSEPPE JA, 1994, J CLIN ONCOL, V12, P2573 28795 FERRERI AJM, 2004, ANN ONCOL, V15, P1215 28796 FERRERI AJM, 2004, BRIT J HAEMATOL, V127, P173 28797 GATTER KC, 2001, TUMOURS HAEMATOPOIET, P177 28798 HANIHARA T, 1996, AM J HEMATOL, V53, P144 28799 KO YH, 1997, HISTOPATHOLOGY, V31, P555 28800 KOIZUMI M, 2001, BONE MARROW TRANSPL, V27, P1101 28801 KUTZNER H, 2006, SKIN TUMORS, P200 28802 MASSIMINO M, 2001, J NEURO-ONCOL, V51, P47 28803 MOLINA A, 1990, CANCER, V66, P474 28804 MORICE WG, 2005, MODERN PATHOL, V18, P495 28805 MOUSSOUTTAS M, 2002, ARCH NEUROL-CHICAGO, V59, P640 28806 MURASE T, 2000, BRIT J HAEMATOL, V111, P826 28807 MURASE T, 2007, BLOOD, V109, P478 28808 NAKAHARA T, 1999, J NEUROL NEUROSUR PS, V67, P403 28809 NATALISORA MG, 1996, J NEUROL, V243, P205 28810 OWA M, 2000, INT J CARDIOL, V75, P283 28811 PONZONI M, 1994, MAYO CLIN PROC, V69, P37 28812 PONZONI M, 2000, HUM PATHOL, V31, P220 28813 PONZONI M, 2006, HEMATOL ONCOL, V26, P105 28814 ROSE C, 1999, BRIT J HAEMATOL, V105, P313 28815 SAVARESE DMF, 2000, CANCER, V89, P2515 28816 STAHL RL, 1991, CANCER, V68, P2319 28817 SUKPANICHNANT S, 2006, CLIN LYMPHOMA MYELOM, V6, P319 28818 TIAB M, 2000, BEST PRACT RES CL HA, V13, P163 28819 VIEREN M, 1999, CLIN NEUROL NEUROSUR, V101, P33 28820 WALLS JG, 1999, CHEST, V115, P1207 28821 WU HQ, 2005, AM J CLIN PATHOL, V123, P603 28822 YAMAGUCHI M, 2001, BONE MARROW TRANSPL, V27, P89 28823 YEGAPPAN S, 2001, MODERN PATHOL, V14, P1147 28824 ZHAO XF, 2005, ARCH PATHOL LAB MED, V129, P391 28825 NR 34 28826 TC 0 28827 PU AMER SOC CLINICAL ONCOLOGY 28828 PI ALEXANDRIA 28829 PA 330 JOHN CARLYLE ST, STE 300, ALEXANDRIA, VA 22314 USA 28830 SN 0732-183X 28831 J9 J CLIN ONCOL 28832 JI J. Clin. Oncol. 28833 PD JUL 20 28834 PY 2007 28835 VL 25 28836 IS 21 28837 BP 3168 28838 EP 3173 28839 PG 6 28840 SC Oncology 28841 GA 200DJ 28842 UT ISI:000248743800028 28843 ER 28844 28845 PT J 28846 AU Wen, Z 28847 Frear, C 28848 Chen, S 28849 AF Wen, Zhiyou 28850 Frear, Craig 28851 Chen, Shulin 28852 TI Anaerobic digestion of liquid dairy manure using a sequential 28853 continuous-stirred tank reactor system 28854 SO JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY 28855 LA English 28856 DT Article 28857 DE anaerobic digestion; dairy manure; completely mixed; plug-flow 28858 ID WASTE-WATER; ANIMAL WASTE; SEPARATION; ACID; PERFORMANCE; SLUDGE 28859 AB BACKGROUND: Anaerobic digestion of liquid manure from flush dairy 28860 operations is an alternative to manure management practices with 28861 environmental benefits and producing biogas. A unique sequential 28862 reactor system was used to study the anaerobic digestion (AD) of flush 28863 dairy manure with the aim of determining (1) the effects of organic 28864 strength of the influent on AD performance; (2) whether phase 28865 separation is beneficial to treatment and AD design; and (3) whether 28866 there is any difference between completely mixed and plug-flow 28867 approaches to implementing the AD process. 28868 RESULTS: The influent with high organic strength resulted in higher 28869 levels of biogas production and chemical oxygen demand (COD)/solids 28870 removal. When the manure stream is used as influent for the anaerobic 28871 digestion, the phenomenon of two-stage anaerobic digestion process does 28872 not exist because the stream contained high levels of alkalinity and 28873 volatile fatty acids. The biogas production and COD/solids destruction 28874 achieved by plug-flow and completely mixed reactor were very similar 28875 when treating the liquid manure stream. 28876 CONCLUSION: The organic strength of the influent significantly 28877 influenced AD performance. The plug-flow reactor and the completely 28878 mixed reactor had a similar AD performance. For the type of manure and 28879 organic loading rate investigated, the results give indications for 28880 designing an AD process in flush dairy operations. 28881 (c) 2007 Society of Chemical Industry. 28882 C1 Washington State Univ, Dept Biol Syst Engn, Pullman, WA 99164 USA. 28883 RP Wen, Z, Virginia Polytech Inst & State Univ, Dept Biol Syst Engn, 28884 Blacksburg, VA 24061 USA. 28885 EM wenz@vt.edu 28886 CR *APHA, 1995, STAND METH EX WAT WA 28887 ADNEY WS, 1991, APPL BIOCHEM BIOTECH, V30, P165 28888 ANGELIDAKI I, 2000, WATER SCI TECHNOL, V41, P189 28889 BATSTONE DJ, 2002, ANAEROBIC DIGESTION 28890 COHEN A, 1979, WATER RES, V13, P571 28891 CRITES R, 1998, SMALL DECENTRALIZED 28892 DEMIRER GN, 2005, PROCESS BIOCHEM, V40, P3542 28893 DINSDALE RM, 2000, BIORESOURCE TECHNOL, V72, P159 28894 DUGBA PN, 1999, BIORESOURCE TECHNOL, V68, P225 28895 GHALY AE, 1999, ENERG SOURCE, V21, P475 28896 GHOSH S, 1977, 4022665, US 28897 GHOSH S, 1987, J ENVIRON ENG-ASCE, V113, P1265 28898 HILLS DJ, 1984, T ASAE, V27, P889 28899 INCE O, 1998, WATER RES, V32, P2707 28900 KARIM K, 2005, WATER RES, V39, P3597 28901 LIAO PH, 1984, ENERG AGR, V3, P61 28902 LIAO PH, 1985, BIOMASS, V8, P185 28903 LIU TC, 1997, WATER SCI TECHNOL, V36, P303 28904 LO KV, 1986, AGR WASTES, V17, P279 28905 MOLLER HB, 2002, BIORESOURCE TECHNOL, V85, P189 28906 MORRIS DR, 2004, COMMUN SOIL SCI PLAN, V35, P1757 28907 POWERS WJ, 1997, T ASAE, V40, P1449 28908 SPEECE RE, 1996, ANAEROBIC BIOTECHNOL 28909 ULUDAGDEMIRER S, 2005, PROCESS BIOCHEM, V40, P3667 28910 WANG JY, 2002, WATER SCI TECHNOL, V45, P159 28911 WILKIE AC, 2003, P AN DIG TECHN APPL, P350 28912 WILKIE AC, 2004, BIOSYST ENG, V89, P457 28913 WRIGHT P, 2004, AM SOC AGR ENG ANN M 28914 ZHANG RH, 2000, T ASAE, V43, P1795 28915 NR 29 28916 TC 0 28917 PU JOHN WILEY & SONS LTD 28918 PI CHICHESTER 28919 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 28920 SN 0268-2575 28921 J9 J CHEM TECHNOL BIOTECHNOL 28922 JI J. Chem. Technol. Biotechnol. 28923 PD AUG 28924 PY 2007 28925 VL 82 28926 IS 8 28927 BP 758 28928 EP 766 28929 PG 9 28930 SC Biotechnology & Applied Microbiology; Chemistry, Multidisciplinary; 28931 Engineering, Chemical 28932 GA 200VX 28933 UT ISI:000248792000010 28934 ER 28935 28936 PT J 28937 AU Wang, WP 28938 Wang, JX 28939 AF Wang Wei-ping 28940 Wang Jian-xin 28941 TI Design and analysis of two-layer anonymous communication system 28942 SO JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY 28943 LA English 28944 DT Article 28945 DE scalability; anonymity; performance analysis; communication system 28946 AB A new architecture for scalable anonymous communication system(SACS) 28947 was proposed. The users were divided into several subgroups managed by 28948 different sub-blenders, and all sub-blenders were managed by the 28949 main-blender using two layers management scheme. The identity 28950 information of members are distributed on different sub-blenders, which 28951 makes each member keep much less information and network overload 28952 greatly reduce. The anonymity and the overhead of the new scheme were 28953 analyzed and compared with that of Crowds, which shows the cost of 28954 storage and network overhead for the new scheme largely decreases while 28955 the anonymity is little degraded. The experiment results also show that 28956 the new system architecture is well scalable. The ratio of management 28957 cost of SACS to that of Crowds is about 1:25 while the value of P(I 28958 vertical bar H1+) only increases by 0.001-0.020, which shows that SACS 28959 keeps almost the same anonymity with Crowds. 28960 C1 Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China. 28961 RP Wang, WP, Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, 28962 Peoples R China. 28963 EM wpwang@mail.csu.edu.cn 28964 CR BERTHOLD O, 2001, SYSTEM ANONYMOUS UNO, P115 28965 CHAUM D, 1988, J CRYPTOL, V1, P65 28966 DINGLEDINE R, 2004, P 13 USENIX SEC S, P303 28967 FREEDMAN M, 2002, 9 ACM C COMP COMM SE, P193 28968 GOEL S, 2003, TR20031890 CORN U 28969 GOLDSCHLAG D, 1999, COMMUN ACM, V42, P39 28970 HARCHOLBALTER M, 1999, ACM S PRINC DISTR CO, P229 28971 MURDOCH SJ, 2005, IEEE S SEC PRIV, P183 28972 REITER MK, 1998, ACM T INFORM SYST, V1, P62 28973 SHERWOOD R, 2002, IEEE S SEC PRIV, P58 28974 SUI HF, 2003, IEEE INT C COMM, P261 28975 SUI HF, 2004, INFORM PROCESS LETT, V90, P81 28976 SUI HF, 2005, MINI-MICRO SYST, V26, P387 28977 WANG A, 2003, J KOREAN MATH SOC, V40, P609 28978 WANG WP, 2004, J SOFTWARE, V15, P561 28979 NR 15 28980 TC 0 28981 PU JOURNAL OF CENTRAL SOUTH UNIV TECHNOLOGY 28982 PI HUNAN 28983 PA EDITORIAL OFFICE, CHANGSHA, HUNAN 410083, PEOPLES R CHINA 28984 SN 1005-9784 28985 J9 J CENT SOUTH UNIV TECHNOL 28986 JI J. Cent. South Univ. Technol. 28987 PD JUN 28988 PY 2007 28989 VL 14 28990 IS 3 28991 BP 380 28992 EP 385 28993 PG 6 28994 SC Metallurgy & Metallurgical Engineering 28995 GA 191OW 28996 UT ISI:000248141800020 28997 ER 28998 28999 PT J 29000 AU Rutkowski, P 29001 Nowecki, ZI 29002 Debiec-Rychter, M 29003 Grzesiakowska, U 29004 Michej, W 29005 Wozniak, A 29006 Siedlecki, JA 29007 Limon, J 29008 Dobosz, AJV 29009 Kakol, M 29010 Osuch, C 29011 Ruka, W 29012 AF Rutkowski, Piotr 29013 Nowecki, Zbigniew I. 29014 Debiec-Rychter, Maria 29015 Grzesiakowska, Urszula 29016 Michej, Wanda 29017 Wozniak, Agnieszka 29018 Siedlecki, Janusz A. 29019 Limon, Janusz 29020 Dobosz, Anna Jerzak vel 29021 Kakol, Michai 29022 Osuch, Czesiaw 29023 Ruka, Wlodzimierz 29024 TI Predictive factors for long-term effects of imatinib therapy in 29025 patients with inoperable/metastatic CD117(+) gastrointestinal stromal 29026 tumors (GISTs) 29027 SO JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY 29028 LA English 29029 DT Article 29030 DE gastrointestinal stromal tumor; imatinib; prognosis; predictive factors 29031 ID CYTOKINE SERUM LEVELS; BONE-SARCOMA-GROUP; EORTC-SOFT-TISSUE; 29032 PROGNOSTIC-FACTORS; LATE RESISTANCE; KIT MUTATIONS; PHASE-I; MESYLATE; 29033 MANAGEMENT; DIAGNOSIS 29034 AB The Purpose To analyze the outcomes of treatment and factors predicting 29035 effects of imatinib (IM) therapy in inoperable/metastatic 29036 gastrointestinal stromal tumors (GIST) CD117(+) patients. 29037 Materials and methods We identified 232 patients in a prospectively 29038 collected Clinical GIST Registry with advanced inoperable/metastatic 29039 GIST treated with IM 400-800 mg daily (129 males and 103 females and 29040 median age 56 years). Median follow-up time was 26 months. 29041 Results The estimated 3-year progression-free survival (PFS; calculated 29042 from the date of the start of IM) was 54% and median PFS was 40.5 29043 months. The following factors significantly and negatively influenced 29044 PFS in univariate analysis: poor baseline World Health Organization 29045 (WHO) performance status >= 2 (P < 0.00001), tumor genotype indicating 29046 other than KIT exon 11 isoform (P = 0.005), baseline high neutrophils 29047 count (P < 0.00001), age < 45 years at the diagnosis (P = 0.04), 29048 mitotic index > 10/50 high-power fields (HPF) (P = 0.001), GIST 29049 histological type other than spindle-cell (P = 0.03), baseline low 29050 albumin level (P = 0.0005), low baseline hemoglobin level (P < 29051 0.00001), and primary overtly malignant tumors (unresectable and/or 29052 metastatic lesions at presentation) (P = 0.05). We identified four 29053 factors negatively affecting PFS, statistically significant (P < 0.05) 29054 in multivariate analysis: baseline poor WHO performance status >= 2, 29055 high baseline neutrophils count (> 5 x 10(9)/l), tumor genotype 29056 indicating the presence of non-exon 11 KIT mutant and mitotic index > 29057 10/50 HPF. 29058 Conclusions We confirmed that many advanced GIST patients benefit from 29059 IM therapy for a prolonged time, although resistance to therapy is 29060 observed. We identified four independent biological factors influencing 29061 the PFS during long-term IM therapy. 29062 C1 M Sklodowska Curie Mem Canc Ctr, Dept Soft Tissue Bone Sarcoma & Melanoma, PL-02871 Warsaw, Poland. 29063 Inst Oncol, PL-02871 Warsaw, Poland. 29064 Katholieke Univ Leuven, Ctr Human Genet, B-3000 Louvain, Belgium. 29065 M Sklodowska Curie Mem Canc Ctr, Dept Radiol, PL-02781 Warsaw, Poland. 29066 M Sklodowska Curie Mem Canc Ctr, Inst Oncol, PL-02781 Warsaw, Poland. 29067 M Sklodowska Curie Mem Canc Ctr, Dept Pathol, PL-02781 Warsaw, Poland. 29068 Med Univ Gdansk, Dept Biol & Genet, Gdansk, Poland. 29069 M Sklodowska Curie Mem Canc Ctr, Dept Biol Mol, PL-02781 Warsaw, Poland. 29070 Reg Oncol Ctr, Gdansk, Poland. 29071 Jagiellonian Univ, Dept Gen Surg, Krakow, Poland. 29072 RP Rutkowski, P, M Sklodowska Curie Mem Canc Ctr, Dept Soft Tissue Bone 29073 Sarcoma & Melanoma, Roentgena 5, PL-02871 Warsaw, Poland. 29074 EM rutkowskip@coi.waw.pl 29075 CR BLAY JY, 2005, ANN ONCOL, V16, P566 29076 CHOI H, 2004, AM J ROENTGENOL, V183, P1619 29077 CORLESS CL, 2004, J CLIN ONCOL, V22, P3813 29078 DEBIECRYCHTER M, 2004, EUR J CANCER, V40, P689 29079 DEBIECRYCHTER M, 2005, GASTROENTEROLOGY, V128, P270 29080 DEBIECRYCHTER M, 2006, EUR J CANCER, V42, P1093 29081 DEMATTEO RP, 2000, ANN SURG, V231, P51 29082 DEMATTEO RP, 2002, HUM PATHOL, V33, P466 29083 DEMETRI GD, 2002, NEW ENGL J MED, V347, P472 29084 FLETCHER CDM, 2002, HUM PATHOL, V33, P459 29085 GOLD JS, 2007, ANN SURG ONCOL, V14, P134 29086 HEINRICH MC, 2003, J CLIN ONCOL, V21, P4342 29087 HEINRICH MC, 2006, J CLIN ONCOL, V24, P4764 29088 HIROTA S, 1998, SCIENCE, V279, P577 29089 JUDSON I, 2005, CANCER CHEMOTH PHARM, V55, P379 29090 LASOTA J, 2006, SEMIN DIAGN PATHOL, V23, P91 29091 LECESNE A, 2006, J CLIN ONCOL, V24, P9510 29092 MIETTINEN M, 2001, VIRCHOWS ARCH, V438, P1 29093 RUKA W, 2001, ANN ONCOL, V12, P1423 29094 RUTKOWSKI P, 2002, INT J CANCER, V100, P463 29095 THERASSE P, 2000, J NATL CANCER I, V92, P205 29096 TRENT JC, 2006, CURR OPIN ONCOL, V18, P386 29097 VANGLABBEKE M, 2005, J CLIN ONCOL, V23, P5795 29098 VANOOSTEROM AT, 2001, LANCET, V358, P1421 29099 VANOOSTEROM JIR, 2002, EJC SUPPL, V38, S83 29100 VERWEIJ J, 2004, LANCET, V364, P1127 29101 WAKAI T, 2004, BRIT J CANCER, V90, P2059 29102 WARDELMANN E, 2006, CLIN CANCER RES, V12, P1743 29103 NR 28 29104 TC 0 29105 PU SPRINGER 29106 PI NEW YORK 29107 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 29108 SN 0171-5216 29109 J9 J CANCER RES CLIN ONCOL 29110 JI J. Cancer Res. Clin. Oncol. 29111 PD SEP 29112 PY 2007 29113 VL 133 29114 IS 9 29115 BP 589 29116 EP 597 29117 PG 9 29118 SC Oncology 29119 GA 191FN 29120 UT ISI:000248116100002 29121 ER 29122 29123 PT J 29124 AU Schopfer, U 29125 Hohn, F 29126 Hueber, M 29127 Girod, M 29128 Engeloch, C 29129 Popov, M 29130 Muckenschnabel, I 29131 AF Schopfer, U. 29132 Hoehn, F. 29133 Hueber, M. 29134 Girod, M. 29135 Engeloch, C. 29136 Popov, M. 29137 Muckenschnabel, I. 29138 TI Screening library evolution through automation of solution preparation 29139 SO JOURNAL OF BIOMOLECULAR SCREENING 29140 LA English 29141 DT Article 29142 DE compound management; automated weighing; automated solution production; 29143 life cycle management 29144 ID COMPOUND; COLLECTION; DISCOVERY 29145 AB The quality of the compound library is a critical success factor in 29146 every high-throughput screening campaign. Screening solutions have to 29147 be prepared with a high level of process control to ensure the correct 29148 identity and initial concentration of each compound. However, even 29149 under optimized storage conditions, a certain level of degradation in 29150 solution cannot be avoided. Therefore, regular quality control and 29151 eventual removal of solutions from the screening deck is necessary. 29152 Because solution preparation, especially the weighing of compounds, is 29153 a tedious and often manual task, a regular resolubilization of 29154 compounds is difficult to achieve. By complete automation of the 29155 solution preparation, the authors have laid the foundation for a life 29156 cycle management of screening solutions. They demonstrate how a 29157 combination of quality and process control leads to a continuous 29158 improvement of the screening library. In presenting an automation 29159 concept, they show how a series of innovative process optimizations led 29160 to a high-performance system that achieves full industrialization of 29161 solution preparation. 29162 C1 Novartis Inst BioMed Res, Lead Finding Ctr, CH-4002 Basel, Switzerland. 29163 RP Schopfer, U, Novartis Inst BioMed Res, Lead Finding Ctr, Postfach, 29164 CH-4002 Basel, Switzerland. 29165 EM ulrich.schopfer@novartis.com 29166 CR CHAN JA, 2002, METH MOL B, V190, P117 29167 CHENG XH, 2003, J BIOMOL SCREEN, V8, P292 29168 COMLEY J, 2005, DRUG DISCOVERY WORLD, V6, P59 29169 JACOBY E, 2005, CURR TOP MED CHEM, V5, P397 29170 KEIGHLEY WW, 2002, METHOD MOL BIOL, P129 29171 KESERU GM, 2006, DRUG DISCOV TODAY, V11, P741 29172 LANE SJ, 2006, DRUG DISCOV TODAY, V11, P267 29173 LIPINSKI CA, 2004, DRUG DISCOV TODAY, V1, P337 29174 OPREA TI, 2001, J CHEM INF COMP SCI, V41, P1308 29175 SCHOPFER U, 2005, COMB CHEM HIGH T SCR, V8, P513 29176 SCHOPFER U, 2005, EUR PHARM REV, V1, P68 29177 SCHUFFENHAUER A, 2005, CURR TOP MED CHEM, V5, P751 29178 VERHEIJ HJ, 2006, MOL DIVERS, V10, P377 29179 WONG SKF, 2005, J BIOMOL SCREEN, V10, P524 29180 NR 14 29181 TC 0 29182 PU SAGE PUBLICATIONS INC 29183 PI THOUSAND OAKS 29184 PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA 29185 SN 1087-0571 29186 J9 J BIOMOL SCREEN 29187 JI J. Biomol. Screen 29188 PD AUG 29189 PY 2007 29190 VL 12 29191 IS 5 29192 BP 724 29193 EP 732 29194 PG 9 29195 SC Biochemical Research Methods; Biotechnology & Applied Microbiology; 29196 Chemistry, Analytical 29197 GA 201AI 29198 UT ISI:000248803500012 29199 ER 29200 29201 PT J 29202 AU Zweben, C 29203 AF Zweben, Carl 29204 TI Advances in high-performance thermal management materials - A review 29205 SO JOURNAL OF ADVANCED MATERIALS 29206 LA English 29207 DT Review 29208 EM c.h.zweben@usa.net 29209 CR CHUNG DDL, 2000, COMPREHENSIVE COMPOS, V6 29210 FLEMING TF, 1995, P INT EL PACK C WHEA, P493 29211 JENSEN W, 1982, 4318954, US 29212 KELLY A, 2000, COMPREHENSIVE COMPOS 29213 KLETT JW, 1998, P 43 INT SAMPE S AN 29214 LASANCE CJM, 2003, ELECT COOLING NOV 29215 LEE E, MOUNTING FLIP CHIPS 29216 MARKOFF J, 2004, NY TIMES 0517 29217 NORLEY J, 2004, P IMAPS ADV TECHN WO 29218 SCHMIDT KA, 1989, ELECT MAT HDB 29219 SHIVELEY R, 2006, TECHNOLOGUY INTE JUL 29220 THAW C, 1987, ELECT PACKAGING AUG, P27 29221 ZWEBEN C, 1999, ELECT COOLING, V5 29222 ZWEBEN C, 2001, ASM HDB, V21, P1078 29223 ZWEBEN C, 2001, ENCY MAT SCI TECHNOL, V3, P2676 29224 ZWEBEN C, 2002, HDB PLASTICS ELASTOM, CH5 29225 ZWEBEN C, 2005, P SAMPE 200K S EXH L 29226 ZWEBENB C, 1998, MECH ENG HDB 29227 NR 18 29228 TC 0 29229 PU SAMPE PUBLISHERS 29230 PI COVINA 29231 PA 1161 PARKVIEW DRIVE, COVINA, CA 91722 USA 29232 SN 1070-9789 29233 J9 J ADV MATER 29234 JI J. Adv. Mater. 29235 PD JAN 29236 PY 2007 29237 VL 39 29238 IS 1 29239 BP 3 29240 EP 10 29241 PG 8 29242 SC Materials Science, Multidisciplinary 29243 GA 191LT 29244 UT ISI:000248133400002 29245 ER 29246 29247 PT J 29248 AU Lien, HH 29249 Huang, CC 29250 Wang, PC 29251 Chen, YH 29252 Huang, CS 29253 Lin, TL 29254 Tsai, MC 29255 AF Lien, Heng-Hui 29256 Huang, Chi-Cheng 29257 Wang, Pa-Chun 29258 Chen, Ya-Hui 29259 Huang, Ching-Shui 29260 Lin, Tzung-Li 29261 Tsai, Meng-Chao 29262 TI Validation assessment of the Chinese (Taiwan) version of the 29263 gastrointestinal quality of life index for patients with symptomatic 29264 gallstone disease 29265 SO JOURNAL OF LAPAROENDOSCOPIC & ADVANCED SURGICAL TECHNIQUES 29266 LA English 29267 DT Article 29268 ID HEALTH SURVEY SF-36; LAPAROSCOPIC CHOLECYSTECTOMY; ACUTE CHOLECYSTITIS; 29269 MANAGEMENT 29270 AB Background: Symptomatic gallstone is one of the most common diseases in 29271 Taiwan. The aim of this study was to develop a Mandarin Chinese 29272 outcomes measure for the assessment on quality of life among gallstone 29273 patients. Materials and Methods: The Gastrointestinal Quality of Life 29274 Index (GIQLI) is a valid, disease-specific measure for the evaluation 29275 of health status and treatment effectiveness for adults with chronic 29276 gastrointestinal condition. The GIQLI was translated into Mandarin 29277 Chinese using a parallel model. The Chinese ( Taiwan) version of the 29278 GIQLI (CGIQLI) was administered to 102 patients with symptomatic 29279 gallstone disease in a prospective manner; the CGIQLI then was 29280 validated according to established criteria for reliability, validity, 29281 and longitudinal sensitivity. Results: The CGIQLI demonstrates good 29282 test-retest reliability ( r = 0.92, P < 0.001) and internal consistency 29283 (Cronbach's alpha = 0.92). The CGIQLI significantly correlates with the 29284 Mandarin Chinese ( Taiwan) version of the generic 36-Item Short-Form 29285 Health Survey (SF-36). The standardized response mean for the CGIQLI 29286 total score is 0.96, indicating excellent sensitivity to clinical 29287 change in the study group. Conclusion: This validation study 29288 demonstrated that the performance characteristics of the CGIQLI are 29289 equivalent to the English version, the GIQLI. This study demonstrates 29290 that the CGIQLI is a valid tool to evaluate adults with chronic 29291 gastrointestinal problems among the Chinese-speaking population. 29292 C1 Cathay Med Ctr, Div Gen Surg, Taipei 106, Taiwan. 29293 Cathay Med Ctr, Cathay Med Res Inst, Taipei 106, Taiwan. 29294 Fu Jen Catholic Univ Sch Med, Taipei, Taiwan. 29295 RP Huang, CS, Cathay Med Ctr, Div Gen Surg, 208 Sect 4,Jen Ai Rd, Taipei 29296 106, Taiwan. 29297 EM hhlhhl@cgh.org.tw 29298 CR *NEW ENGL MED CTR, 1996, IQOLA SF36 TAIW STAN 29299 COHEN J, 1988, STAT POWER ANAL BEHA 29300 COX MR, 1993, ANN SURG, V218, P630 29301 DECKER G, 2002, ANN SURG, V236, P750 29302 EYPASCH E, 1995, BRIT J SURG, V82, P216 29303 HUANG CS, 2001, SURG LAPARO ENDO PER, V11, P242 29304 HUANG CS, 2003, SURG ENDOSC, V17, P1362 29305 HUNTER JG, 1998, ANN SURG, V227, P468 29306 KUM CK, 1994, BRIT J SURG, V81, P1651 29307 LIANG MH, 1990, MED CARE, V28, P632 29308 LIEN HH, 2002, WORLD J SURG, V26, P598 29309 LIEN HH, 2004, SURG TODAY, V34, P326 29310 LIEN HH, 2005, J LAPAROENDOSC ADV S, V15, P298 29311 LIU JS, 2002, J LAB CLIN MED, V140, P387 29312 LU JR, 2003, TAIWAN J PUBLIC HLTH, V22, P501 29313 MCHORNEY CA, 1993, MED CARE, V31, P247 29314 NUNNALLY JC, 1978, PSYCHOMETRIC THEORY 29315 SCHRIMER BD, 1991, ANN SURG, V213, P665 29316 TSENG HM, 2003, TAIWAN J PUBLIC HLTH, V22, P512 29317 VANDIJKUM EJM, 2000, BRIT J SURG, V87, P110 29318 WARE JE, 1992, MED CARE, V30, P473 29319 WARE JE, 1993, SF 36 HLTH SURVEY MA, V10, P1 29320 WARE JE, 1993, SF 36 HLTH SURVEY MA, V10, P38 29321 ZUCKER KA, 1993, AM J SURG, V165, P508 29322 NR 24 29323 TC 0 29324 PU MARY ANN LIEBERT INC 29325 PI NEW ROCHELLE 29326 PA 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA 29327 SN 1092-6429 29328 J9 J LAPAROENDOSC ADV SURG TECH 29329 JI J. Laparoendosc. Adv. Surg. Tech. 29330 PD AUG 29331 PY 2007 29332 VL 17 29333 IS 4 29334 BP 429 29335 EP 434 29336 PG 6 29337 SC Surgery 29338 GA 201KO 29339 UT ISI:000248830400007 29340 ER 29341 29342 PT J 29343 AU Zhu, Q 29344 Gong, J 29345 Zhang, YT 29346 AF Zhu, Qing 29347 Gong, Jun 29348 Zhang, Yeting 29349 TI An efficient 3D R-tree spatial index method for virtual geographic 29350 environments 29351 SO ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 29352 LA English 29353 DT Article 29354 DE virtual geographic environments; 3D spatial index; R-tree; spatial 29355 cluster grouping 29356 AB A three-dimensional (3D) spatial index is required for real time 29357 applications of integrated organization and management in virtual 29358 geographic environments of above ground, underground, indoor and 29359 outdoor objects. Being one of the most promising methods, the R-tree 29360 spatial index has been paid increasing attention in 3D geospatial 29361 database management. Since the existing R-tree methods are usually 29362 limited by their weakness of low efficiency, due to the critical 29363 overlap of sibling nodes and the uneven size of nodes, this paper 29364 introduces the k-means clustering method and employs the 3D overlap 29365 volume, 3D coverage volume and the minimum bounding box shape value of 29366 nodes as the integrative grouping criteria. A new spatial cluster 29367 grouping algorithm and R-tree insertion algorithm is then proposed. 29368 Experimental analysis on comparative performance of spatial indexing 29369 shows that by the new method the overlap of R-tree sibling nodes is 29370 minimized drastically and a balance in the volumes of the nodes is 29371 maintained. (c) 2007 International Society for Photogrammetry and 29372 Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights 29373 reserved. 29374 C1 Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China. 29375 Jiangxi Normal Univ, Key Lab Poyang Lake Ecol Environm & Resource Dev, Nanchang 330022, Peoples R China. 29376 RP Zhu, Q, Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, 29377 129 Luoyu Rd, Wuhan 430079, Peoples R China. 29378 EM zhuq66@263.net 29379 gongjunbox@163.com 29380 CR ARENS C, 2005, COMPUT GEOSCI-UK, V31, P165 29381 BECKMANN N, 1990, P ACM SIGMOD INT C M, P322 29382 BRAKATSOULAS S, 2002, P 6 ADBIS C BRAT SLO, P149 29383 GAEDE V, 1998, ACM COMPUT SURV, V30, P173 29384 GUTTMAN A, 1984, P ACM SIGMOD INT C M, P47 29385 KAMEL I, 1994, P 20 INT C VER LARG, P500 29386 KOFLER M, 1998, THESIS GRAZ U TECHNO 29387 LIN H, 2005, LARGESCALE 3D DATA I, P211 29388 SELLIS T, 1987, P 13 INT C VER LARG, P507 29389 ZLATANOVA S, 2000, THESIS INT I GEO INF 29390 NR 10 29391 TC 0 29392 PU ELSEVIER SCIENCE BV 29393 PI AMSTERDAM 29394 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 29395 SN 0924-2716 29396 J9 ISPRS J PHOTOGRAMM 29397 JI ISPRS-J. Photogramm. Remote Sens. 29398 PD AUG 29399 PY 2007 29400 VL 62 29401 IS 3 29402 BP 217 29403 EP 224 29404 PG 8 29405 SC Geography, Physical; Geosciences, Multidisciplinary; Remote Sensing; 29406 Imaging Science & Photographic Technology 29407 GA 200NA 29408 UT ISI:000248768900004 29409 ER 29410 29411 PT J 29412 AU Khatri, KL 29413 Smith, RJ 29414 AF Khatri, Kanya L. 29415 Smith, R. J. 29416 TI Toward a simple real-time control system for efficient management of 29417 furrow irrigation 29418 SO IRRIGATION AND DRAINAGE 29419 LA English 29420 DT Article 29421 DE surface irrigation; automation; irrigation advance; irrigation 29422 efficiency; simulation 29423 ID INFILTRATION PARAMETERS; ADVANCE DATA 29424 AB A simple real-time control system for furrow irrigation is proposed 29425 that predicts the infiltration characteristic of the soil in real time 29426 using data measured during an irrigation event, simulates the 29427 irrigation, and determines the optimum time to cut-off for that 29428 irrigation. The basis of the system is a new method for estimating the 29429 soil infiltration characteristic under furrow irrigation, previously 29430 developed by the authors, that uses a model infiltration curve, and a 29431 scaling process to predict the infiltration characteristic for each 29432 furrow and each irrigation event. Using the new method, infiltration 29433 parameters were calculated for two different fields. The SIRMOD 29434 simulation model was then used to simulate irrigation performance under 29435 different model strategies. These were framed to assess the feasibility 29436 of, and demonstrate the gains from, the real-time control strategy. The 29437 simulation results showed that the system is feasible. The scaled 29438 infiltration gave predictions of the irrigation performance comparable 29439 to the measured performance, clearly establishing the suitability of 29440 this method for use in real-time control. The results further indicated 29441 that under simple real- time control the irrigation performance for the 29442 two fields could be greatly improved with reductions in the total 29443 volume of water applied to the two fields of 20 and 60% respectively, 29444 indicating the scale of benefits that can be achieved in the irrigation 29445 sector by implementing simple real-time control. Copyright (c) 2007 29446 John Wiley & Sons, Ltd. 29447 C1 Univ So Queensland, Fac Engn & Surveying, Cooperat Res Ctr Irrigat Futures, Toowoomba, Qld 4350, Australia. 29448 Univ So Queensland, Natl Ctr Engn Agr, Toowoomba, Qld 4350, Australia. 29449 RP Khatri, KL, Univ So Queensland, Fac Engn & Surveying, Cooperat Res Ctr 29450 Irrigat Futures, Toowoomba, Qld 4350, Australia. 29451 EM khatrik@usq.edu.au 29452 CR AZEVEDO CAV, 1996, P COMP AGR C CANC ME, P872 29453 CAMACHO E, 1997, J IRRIG DRAIN E-ASCE, V123, P264 29454 DALTON P, 2001, 1797072 NATL CTR ENG 29455 ELLIOTT RL, 1982, T AM SOC AGR ENG, V25, P396 29456 GILLIES MH, 2005, IRRIGATION SCI, V24, P25 29457 KHATRI KL, 2005, INT C ADV INT PROC S 29458 KHATRI KL, 2005, IRRIG DRAIN, V54, P467 29459 KHATRI KL, 2006, IRRIGATION SCI, V25, P33 29460 MCCLYMONT DJ, 1996, IRRIGATION AUSTR 199 29461 MCCLYMONT DJ, 1996, IRRIGATION SCI, V17, P15 29462 OYONARTE NA, 2002, J IRRIG DRAIN E-ASCE, V128, P26 29463 RAINE SR, 1997, P AUSTR SOC SUG CAN, P293 29464 SHAFIQUE MS, 1983, P NAT C ADV INF ST J, P292 29465 SMITH DL, 1984, 842590 ASAE 29466 WALKER WR, 1990, J IRRIG DRAIN E-ASCE, V116, P299 29467 WALKER WR, 2001, SIRMOD 2 SURFACE IRR 29468 NR 16 29469 TC 0 29470 PU JOHN WILEY & SONS LTD 29471 PI CHICHESTER 29472 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 29473 SN 1531-0353 29474 J9 IRRIG DRAIN 29475 JI Irrig. Drain. 29476 PD OCT 29477 PY 2007 29478 VL 56 29479 IS 4 29480 BP 463 29481 EP 475 29482 PG 13 29483 SC Agronomy; Water Resources 29484 GA 202VN 29485 UT ISI:000248932200008 29486 ER 29487 29488 PT J 29489 AU Mulligan, FJ 29490 O'Grady, L 29491 Gath, VP 29492 Rice, DA 29493 Doherty, ML 29494 AF Mulligan, F. J. 29495 O'Grady, L. 29496 Gath, V. P. 29497 Rice, D. A. 29498 Doherty, M. L. 29499 TI Nutrition and fertility in dairy cows 29500 SO IRISH VETERINARY JOURNAL 29501 LA English 29502 DT Article 29503 ID BODY CONDITION SCORE; NEGATIVE-ENERGY BALANCE; HOLSTEIN-FRIESIAN COWS; 29504 SELENIUM SUPPLEMENTATION; REPRODUCTIVE FUNCTION; PRODUCTION DISEASES; 29505 TRANSITION COW; MILK-YIELD; PERFORMANCE; MANAGEMENT 29506 C1 Univ Coll Dublin, Sch Agr Food Sci & Vet Med, Dublin 4, Ireland. 29507 Nutr Serv Int, Antrim, North Ireland. 29508 RP Mulligan, FJ, Univ Coll Dublin, Sch Agr Food Sci & Vet Med, Dublin 4, 29509 Ireland. 29510 CR BEEVER DE, 2006, ANIM REPROD SCI, V96, P212 29511 BLACK DH, 2004, VET REC, V154, P652 29512 BUCKLEY F, 2003, J DAIRY SCI, V86, P2308 29513 CHAPA AM, 2001, J DAIRY SCI, V84, P908 29514 DECHOW CD, 2002, J DAIRY SCI, V85, P3062 29515 DISKIN MG, 2006, ANIM REPROD SCI, V96, P297 29516 DONOVAN GA, 2004, J DAIRY SCI, V87, P73 29517 GARDENER NH, 1999, FERTILITY HIGH PRODU, P313 29518 GARNSWORTHY PC, 1982, ANIM PROD, V35, P113 29519 GARNSWORTHY PC, 1999, RECENT DEV RUMINANT, V4, P499 29520 GONG JG, 2002, REPRODUCTION, V123, P419 29521 GUPTA S, 2005, THERIOGENOLOGY, V64, P1273 29522 HEMMINGWAY RG, 2003, VET RES COMMUN, V27, P159 29523 HORAN B, 2005, J DAIRY SCI, V88, P1231 29524 HUSBAND J, 2006, UK VET, V11, P39 29525 INGVARTSEN KL, 2000, J DAIRY SCI, V83, P1573 29526 LEROY JL, 2005, REPRODUCTION, P485 29527 LEROY JLMR, 2006, REPROD DOMEST ANIM, V41, P119 29528 LOGAN EF, 1990, VET REC, V126, P163 29529 MATTOS R, 2004, J DAIRY SCI, V87, P921 29530 MAYNE CS, 2002, VET REC, V150, P707 29531 MCNAMARA S, 2003, ANIM REPROD SCI, V79, P45 29532 MEE JF, 2003, P NAT DAIR C 2003 TE 29533 MEE JF, 2004, CATTL ASS VET IR C, P65 29534 MULLIGAN F, 2006, IRISH VET J, V59, P505 29535 MULLIGAN FT, 2006, ANIM REPROD SCI, V96, P331 29536 OCON OM, 2003, J DAIRY SCI, V86, P1197 29537 ORSKOV ER, 1987, ANIM PROD, V45, P345 29538 PETIT HV, 2006, THERIOGENOLOGY, V66, P1316 29539 RHOADS ML, 2006, ANIM REPROD SCI, V91, P1 29540 RICE DA, 1994, TRACE ELEMENT DEFICI 29541 RIZOS D, 2004, REPROD FERT DEVELOP, V16, P262 29542 ROCHE JF, 2000, ANIM REPROD SCI, V60, P703 29543 ROCHE JF, 2006, ANIM REPROD SCI, V96, P282 29544 STAPLES CR, 1998, J DAIRY SCI, V81, P856 29545 TAMMINGA S, 2006, ANIM REPROD SCI, V96, P227 29546 WESTWOOD CT, 2002, J DAIRY SCI, V85, P3225 29547 NR 37 29548 TC 0 29549 PU I F P MEDIA 29550 PI DUBLIN 29551 PA 31 DEANSGRANGE RD, BLACKROCK, CO, DUBLIN, 00000, IRELAND 29552 SN 0368-0762 29553 J9 IRISH VET J 29554 JI Irish Vet. J. 29555 PD MAY 29556 PY 2007 29557 VL 60 29558 IS 5 29559 BP 311 29560 EP + 29561 PG 5 29562 SC Veterinary Sciences 29563 GA 192ZA 29564 UT ISI:000248241400007 29565 ER 29566 29567 PT J 29568 AU Lu, IY 29569 Wang, CH 29570 AF Lu, Iuan-Yuan 29571 Wang, Chun-Hsien 29572 TI Technology innovation and knowledge management in the high-tech industry 29573 SO INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 29574 LA English 29575 DT Article 29576 DE Knowledge Management (KM); technology innovation; high technology firms 29577 ID BALANCED SCORECARD; FIRMS; CAPABILITIES; PERFORMANCE; COMPANY 29578 AB This study presents a comprehensive and integrated discussion of the 29579 various facets of technology innovation and Knowledge Management (KM) 29580 for high-tech firms. KM represents a key contemporary trend and is a 29581 key management discipline in decision making, strategy development, 29582 information systems and technology management. KM provides a broad 29583 perspective, an efficient method of problem-solving, sharing managerial 29584 knowledge and leveraging technological knowledge. This work focuses 29585 mainly on influences that might shape the future of knowledge-based 29586 technological innovation in the knowledge economy, particularly, the 29587 influence of knowledge activities. Accordingly, it is important to 29588 provide some brief perspectives on the development of technological 29589 innovation and KM. 29590 C1 Natl Sun Yat Sen Univ, Inst Business Management, Kaohsiung 804, Taiwan. 29591 Fortune Inst Technol, Dept Business Adm, Kaohsiung 831, Taiwan. 29592 RP Lu, IY, Natl Sun Yat Sen Univ, Inst Business Management, Kaohsiung 804, 29593 Taiwan. 29594 EM iylu@bm.nsysu.edu.tw 29595 absshian@yahoo.com.tw 29596 CR ALAVI M, 2001, MIS QUART, V25, P107 29597 BOWER GH, 1981, THEORIES LEARNING 29598 BURGELMAN R, 2004, STRATEGIC MANAGEMENT, P8 29599 COHEN WM, 1990, ADMIN SCI QUART, V35, P128 29600 CURRIE G, 2003, INT J HUM RESOUR MAN, V14, P1027 29601 DAVENPORT TH, 1998, WORKING KNOWLEDGE OR 29602 DAVENPORT TH, 2003, IND MANAGEMENT, V45, P12 29603 FREDBERG T, UNPUB INT J TECHNOLO 29604 GARVIN DA, 1993, HARVARD BUS REV, V71, P78 29605 GROVER V, 2001, J MANAGE INFORM SYST, V18, P5 29606 HAMEL G, 1994, HARVARD BUS REV, V72, P122 29607 HANNINEN S, UNPUB INT J TECHNOLO 29608 HANSEN MT, 1999, HARVARD BUS REV, V77, P106 29609 HARRYSON S, UNPUB INT J TECHNOLO 29610 HENDRIKS P, 1999, KNOWLEDGE PROCESS MA, V6, P91 29611 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 29612 KAPLAN RS, 1996, HARVARD BUS REV, V74, P75 29613 KOGUT B, 1992, ORGAN SCI, V3, P383 29614 KRACKHARDT D, 1993, HARVARD BUS REV, V71, P104 29615 LEE CL, UNPUB INT J TECHNOLO 29616 LEE G, 2000, ED MEASUREMENT ISSUE, V19, P9 29617 LEONARD D, 1995, WELLSPRING KNOWLEDGE 29618 MAINE E, UNPUB INT J TECHNOLO 29619 MOTOHASHI K, UNPUB INT J TECHNOLO 29620 NONAKA I, 1991, HARVARD BUSINESS NOV, P2 29621 NONAKA I, 1994, ORGAN SCI, V5, P1 29622 ODELL C, 2003, AM PRODUCTIVITY QUAL 29623 PANDA H, 1996, TECHNOVATION, V16, P561 29624 PAVITT K, 1984, RES POLICY, V13, P343 29625 POLANYI M, 1997, KNOWLEDGE ORG 29626 PROBST G, 2000, MANAGING KNOWLEDGE B 29627 ROGERS EM, 1995, DIFFUSION INNOVATION 29628 ROTHWELL R, 1977, R&D MANAGE, V7, P191 29629 SCARBROUGH H, 2000, INVESTIGATING KNOWLE 29630 SCHUMPETER JA, 1939, BUSINESS CYCLE THEOR 29631 SKYRME DJ, 2000, KNOWLEDGE MANAGEMENT 29632 SU CT, UNPUB INT J TECHNOLO 29633 SZULANSKI G, 1996, STRATEGIC MANAGE J, V17, P27 29634 TAI CL, UNPUB INT J TECHNOLO 29635 THWAITES A, 1996, REG STUD, V30, P135 29636 TIDD J, 2001, MANAGEMENT INNOVATIO 29637 TORRENS F, 1999, MOLECULES, V4, P28 29638 WALSH JP, 1991, ACAD MANAGE REV, V16, P57 29639 WENGER EC, 2000, HARVARD BUS REV, V78, P139 29640 WU HL, UNPUB INT J TECHNOLO 29641 YAM RCM, 2004, RES POLICY, V33, P1123 29642 YEH YJ, UNPUB INT J TECHNOLO 29643 YUAN B, UNPUB INT J TECHNOLO 29644 NR 48 29645 TC 0 29646 PU INDERSCIENCE ENTERPRISES LTD 29647 PI GENEVA 29648 PA WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 896, 29649 CH-1215 GENEVA, SWITZERLAND 29650 SN 0267-5730 29651 J9 INT J TECHNOL MANAGE 29652 JI Int. J. Technol. Manage. 29653 PY 2007 29654 VL 39 29655 IS 1-2 29656 BP 3 29657 EP 19 29658 PG 17 29659 SC Engineering, Multidisciplinary; Management; Operations Research & 29660 Management Science 29661 GA 192CT 29662 UT ISI:000248179100002 29663 ER 29664 29665 PT J 29666 AU Lee, CL 29667 Lai, SQ 29668 AF Lee, Chia-Ling 29669 Lai, Sun-Quae 29670 TI Performance measurement systems for knowledge management in high 29671 technology industries: a balanced scorecard framework 29672 SO INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 29673 LA English 29674 DT Article 29675 DE Knowledge Management (KM); strategy; reward; performance measurement 29676 system; Balanced Scorecard (BSC) 29677 ID PRODUCT; STRATEGY; FIRMS 29678 AB Effectively implementing Knowledge Management (KM) is a strategic 29679 process and requires a balanced performance measurement system in high 29680 technology industries. The Balanced Scorecard (BSC) is a comprehensive 29681 performance measurement model that aligns measurements with a firm's 29682 strategy and organises measurements into four perspectives, namely, 29683 financial, customer, internal business process and learning and growth. 29684 By analysing the data collected from high technology firms in Taiwan, 29685 this paper analyses the relative weights placed on the four 29686 perspectives of measurements in a BSC framework for KM. In such a 29687 performance measurement system for high technology industries, the 29688 performance measurements related to the internal business process 29689 perspective obtain the highest weight. This result suggests that 29690 measuring the performance of the internal business process perspective 29691 is more important than that of three other perspectives for high-tech 29692 firms. This paper provides evidence showing that high technology firms 29693 having a clear description of KM strategy, and linking rewards to KM 29694 are more likely to pay attention to measurement performance for KM, 29695 especially, the performance measurements related to the customer and 29696 internal business process perspectives. 29697 C1 Natl Chung Cheng Univ, Dept Accounting & Informat Technol, Chiayi 621, Taiwan. 29698 Natl Taipei Univ Technol, Dept Business Adm, Taipei, Taiwan. 29699 RP Lee, CL, Natl Chung Cheng Univ, Dept Accounting & Informat Technol, 160 29700 San Hsing, Chiayi 621, Taiwan. 29701 EM actcll@ccu.edu.tw 29702 sqlai@moeasmea.gov.tw 29703 CR ACSA ZJ, 2002, RES POLICY, V31, P1069 29704 ARGOTE L, 1990, MANAGE SCI, V36, P117 29705 ARORA R, 2002, J KNOWLEDGE MANAGEME, V6, P240 29706 BECKETT AJ, 2000, IND MANAGE DATA SYST, V100, P330 29707 BOOMER J, 2004, ACCOUNTING TODAY, V18, P9 29708 BRAND A, 1998, J KNOWLEDGE MANAGEME, V2, P17 29709 CARNEIRO A, 2000, J KNOWLEDGE MANAGEME, V4, P87 29710 CHOURIDES P, 2003, MEASURING BUSINESS E, V7, P29 29711 COOPER RG, 1987, IND MARKET MANAG, V16, P215 29712 DEBUSK GK, 2003, BRIT ACCOUNTING REV, V35, P215 29713 DELREYCHAMORRO FM, 2003, J KNOWLEDGE MANAGEME, V7, P46 29714 DEMAREST M, 1997, LONG RANGE PLANN, V30, P374 29715 FOSTER A, 1999, LIB ASS RECORD, V101, P154 29716 GINSBURG M, 1999, P 32 HAW INT C SYST, P1 29717 GOTTSCHALK P, 2000, J INFORM TECHNOL, V15, P69 29718 HAIR JF, 1998, MULTIVARIATE DATA AN 29719 HARRIS K, 1999, GARTN C PRES KEY ISS 29720 HAUSCHILD S, 2001, MCKINSEY Q, V1, P74 29721 HAVENS C, 1999, STRATEGY LEADERSHIP, V27, P4 29722 HOLLANDER DP, 2002, NATL UNDERWRITER, V106, P26 29723 ITTNER C, 1998, J MANAGEMENT ACCOUNT, V6, P205 29724 ITTNER CD, 2001, J ACCOUNT ECON, V32, P349 29725 ITTNER CD, 2003, ACCOUNT ORG SOC, V28, P715 29726 JOHANSON U, 2001, EUROPEAN ACCOUNTING, V10, P407 29727 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 29728 KAPLAN RS, 1996, BALANCED SCORECARD T 29729 KAPLAN RS, 2001, ACCOUNTING HORIZONS, V15, P147 29730 KAPLAN RS, 2001, ACCOUNTING HORIZONS, V15, P87 29731 KAPLAN RS, 2001, STRATEGY FOCUSED ORG 29732 KAPLAN RS, 2004, STRATEGY MAP CONVERT 29733 LANGFIELDSMITH K, 1997, ACCOUNT ORG SOC, V22, P207 29734 LEE KC, 2005, INFORM MANAGE-AMSTER, V42, P469 29735 LEONARDBARTON D, 1995, WELLSPRINGS KNOWLEDG 29736 LINGLE JH, 1996, MANAGEMENT REV MAR, P56 29737 MOORE C, 2001, ISSUES ACCOUNTING ED, V16, P569 29738 NAHAPIET J, 1998, ACAD MANAGE REV, V23, P242 29739 NIVEN PR, 2003, BALANCED SCORECARD S 29740 NUMPRASERTCHAI S, 2004, INT J TECHNOL MANAGE, V28, P667 29741 ODELL C, 1998, IF ONLY WE KNEW WHAT 29742 ODELL C, 1999, STRATEGY LEADERSHIP, V27, P10 29743 SAID AA, 2003, J MANAGEMENT ACCOUNT, V15, P193 29744 SKYRME DJ, 1999, KNOWLEDGE NETWORKING 29745 SONG XM, 1997, J MARKETING RES, V34, P64 29746 SOUDER XM, 1998, J PROD INNOVAT MANAG, V15, P124 29747 TIWANA A, 2000, KNOWLEDGE MANAGEMENT 29748 UTTERBACK JM, 1994, MASTERING DYNAMICS I 29749 ZACK MH, 1999, CALIF MANAGE REV, V41, P125 29750 NR 47 29751 TC 0 29752 PU INDERSCIENCE ENTERPRISES LTD 29753 PI GENEVA 29754 PA WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 896, 29755 CH-1215 GENEVA, SWITZERLAND 29756 SN 0267-5730 29757 J9 INT J TECHNOL MANAGE 29758 JI Int. J. Technol. Manage. 29759 PY 2007 29760 VL 39 29761 IS 1-2 29762 BP 158 29763 EP 176 29764 PG 19 29765 SC Engineering, Multidisciplinary; Management; Operations Research & 29766 Management Science 29767 GA 192CT 29768 UT ISI:000248179100010 29769 ER 29770 29771 PT J 29772 AU Wu, SH 29773 Lin, LY 29774 Hsu, MY 29775 AF Wu, Se-Hwa 29776 Lin, Liang-Yang 29777 Hsu, Mu-Yen 29778 TI Intellectual capital, dynamic capabilities and innovative performance 29779 of organisations 29780 SO INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 29781 LA English 29782 DT Article 29783 DE intellectual capital; Dynamic Capabilities (DC); Innovative Performance 29784 (IP); Human Capital (HC); Structural Capital (SC); Relationship Capital 29785 (RC) 29786 ID FIRM PERFORMANCE; STRATEGIC MANAGEMENT; KNOWLEDGE; TECHNOLOGY; 29787 ALLIANCES; CAPACITY; INDUSTRY; ASSETS; LENS 29788 AB This paper is an empirical study exploring the effects of intellectual 29789 capital and Dynamic Capabilities (DC) on Innovative Performance (IP) of 29790 organisations. Data were collected from a survey of 100 Taiwan 29791 companies related to the electronic and Information Technology (IT) 29792 industries. Hypotheses were tested using hierarchical regression 29793 analysis. Results show that Structural Capital (SC) and Relationship 29794 Capital (RC) fully mediate the effects of Human Capital (HC) on IP. 29795 Moreover, DC have a direct effect on IP. Dynamic capabilities, on the 29796 other hand, enhance the positive effect of RC on IP. The implication of 29797 the study is that managers should build and cultivate the firm's 29798 dynamic capabilities, because of its significant main and moderating 29799 effects. 29800 EM sehwa@nccu.edu.tw 29801 g1359503@nccu.edu.tw 29802 muyen@nccu.edu.tw 29803 CR AIKEN LS, 1991, MULTIPLE REGRESSION, P9 29804 AMABILE TM, 1993, HUMAN RESOURCE MANAG, V3, P185 29805 ARANDA DA, 2002, IND MANAGE DATA SYST, V102, P289 29806 BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173 29807 BHARADWAJ AS, 1999, MANAGE SCI, V45, P1008 29808 BLYER M, 2003, STRATEGIC MANAGEMENT, V24, P677 29809 BONTIS N, 1998, MANAGE DECIS, V36, P63 29810 BONTIS N, 2000, J INTELLECTUAL CAPIT, V1, P85 29811 BONTIS N, 2001, INT J MANAG REV, V3, P41 29812 COHEN J, 1983, APPL MULTIPLE REGRES 29813 COHEN WM, 1990, ADMIN SCI QUART, V35, P128 29814 COONEY R, 2002, INT J OPER PROD MAN, V22, P1130 29815 COX A, 2004, SUPPLY CHAIN MANAG, V9, P357 29816 EDVINSSON L, 1997, INTELLECTUAL CAPITAL 29817 EISENHARDT KM, 2000, STRATEGIC MANAGE J, V21, P1105 29818 GERSTNER L, 2002, WHO SAYS ELEPHANTS C 29819 HALL BH, 1993, AM ECON REV, V83, P259 29820 HUDSON W, 1993, INTELLECTUAL CAPITAL 29821 INKPEN AC, 1998, ACAD MANAGEMENT EXEC, V12, P69 29822 JARVIS CB, 2003, J CONSUM RES, V30, P199 29823 JOIA LA, 2000, J INTELLECTUAL CAPIT, V1, P68 29824 KALE P, 2000, STRATEGIC MANAGE J, V21, P217 29825 KOGUT B, 1992, ORGAN SCI, V3, P383 29826 MAVRIDIS DG, 2004, J INTELLECTUAL CAPIT, V5, P92 29827 NAHAPIET J, 1998, ACAD MANAGE REV, V23, P242 29828 NELSON RR, 1982, EVOLUTIONARY THEORY 29829 NONAKA I, 1991, HARVARD BUS REV, V69, P96 29830 NONAKA I, 1994, ORGAN SCI, V5, P14 29831 ORLIKOWSKI WJ, 2000, ORGAN SCI, V11, P404 29832 RIAHIBELKAOUI A, 2003, J INTELLECTUAL CAPIT, V4, P215 29833 ROOS G, 2001, STRATEGY LEADERSHIP, V29, P21 29834 ROOS J, 1998, INTELLECTUAL CAPITAL 29835 SHER PJ, 2005, TECHNOVATION, V25, P33 29836 STEWART TA, 1994, FORTUNE 1003, P28 29837 TEECE DJ, 1984, CALIF MANAGE REV, V26, P87 29838 TEECE DJ, 1997, STRATEGIC MANAGE J, V18, P509 29839 TSAN V, 2002, 2002 6 INT C INT MUL 29840 VERDUJOVER AJ, 2005, INT J TECHNOL MANAGE, V30, P131 29841 WEMERFELT B, 1984, STRATEGIC MANAGEMENT, V5, P171 29842 WU SH, 1999, ANN C CHIN SOC MAN T 29843 YANG J, 2005, EPIDEMIOLOGY, V16, P121 29844 ZOLLO M, 2002, ORGAN SCI, V13, P339 29845 ZOLLO M, 2002, ORGAN SCI, V13, P701 29846 ZOTT C, 2003, STRATEGIC MANAGE J, V24, P97 29847 NR 44 29848 TC 0 29849 PU INDERSCIENCE ENTERPRISES LTD 29850 PI GENEVA 29851 PA WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 896, 29852 CH-1215 GENEVA, SWITZERLAND 29853 SN 0267-5730 29854 J9 INT J TECHNOL MANAGE 29855 JI Int. J. Technol. Manage. 29856 PY 2007 29857 VL 39 29858 IS 3-4 29859 BP 279 29860 EP 296 29861 PG 18 29862 SC Engineering, Multidisciplinary; Management; Operations Research & 29863 Management Science 29864 GA 192CU 29865 UT ISI:000248179200004 29866 ER 29867 29868 PT J 29869 AU Wu, FS 29870 AF Wu, Feng-Shang 29871 TI Internationalisation of research and development: the case of Taiwanese 29872 firms 29873 SO INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 29874 LA English 29875 DT Article 29876 DE internationalisation; R&D; product innovation; technology transfer; 29877 Taiwan 29878 ID PRODUCT DEVELOPMENT; TECHNOLOGY; INNOVATION; MANAGEMENT; NETWORKS 29879 AB Most of the previous studies in global R&D were focused on developed 29880 economies, meaning the situation of developing countries has been 29881 neglected. Consequently, this work conducts a deep case study of eight 29882 Taiwanese companies with overseas R&D units. The sample companies came 29883 mainly from two industrial sectors: computer hardware and software. 29884 Preliminary research findings include the following: (1) firms in 29885 developing countries seem all to follow a similar path in 29886 internationalising their R&D activities, (2) companies from developed 29887 and developing countries appear to have the same motivations and use 29888 the similar methods in globalising their R&D, (3) communication and 29889 managerial process of global innovation differ for hardware and 29890 software product developments and (4) problems of communication, 29891 language and cultural difference critically affect the performance of 29892 global R&D and can be reduced by employing standard manuals, a unified 29893 language and international liaisons. 29894 C1 Natl Chengchi Univ, Grad Inst Technol & Innovat Management, Taipei, Taiwan. 29895 RP Wu, FS, Natl Chengchi Univ, Grad Inst Technol & Innovat Management, 29896 64,Sec 2,Tze Nan Rd, Taipei, Taiwan. 29897 EM fswu@nccu.edu.tw 29898 CR BOUTELLIER R, 1998, R&D MANAGE, V28, P13 29899 CHIESA V, 1996, INT J TECHNOL MANAGE, V12, P462 29900 CUSUMANO MA, 1991, JAPANS SOFTWARE FACT 29901 DUYSTERS G, 1996, RES POLICY, V25, P1 29902 ETEMAD H, 1986, MULTINATIONALS GOVT, P101 29903 FLORIDA R, 1997, RES POLICY, V26, P85 29904 HAMEL G, 1993, HARVARD BUSINESS REV, V71 29905 HOULDER V, 1995, FINANCIAL TIMES 0106, P7 29906 HOWELLS JR, 1995, RES POLICY, V24, P169 29907 KUEMMERLE W, 1997, HARVARD BUSINESS MAR, P61 29908 LAU HF, 1992, EUR J MARKETING, V26, P17 29909 MANSFIELD E, 1988, MANAGE SCI, V34, P1157 29910 MARTIN MJC, 1984, MANAGING TECHNOLOGIC 29911 MCDONOUGH EF, 1996, R&D MANAGE, V26, P241 29912 MEDCOF JW, 1997, R&D MANAGE, V27, P301 29913 NAMBISAN S, 2000, IEEE T ENG MANAGE, V47, P211 29914 NIOSI J, 1997, MANAGE INT REV, V37, P387 29915 PERRINO AC, 1989, RES TECHNOLOGY MANAG, V32 29916 PETERS L, 1993, TECHNOLOGY MANAGEMEN 29917 POWELL WW, 1987, CALIF MANAGE REV, V30, P67 29918 REDDY P, 2000, GLOBALIZATION CORPOR 29919 RING PS, 1992, STRATEGIC MANAGE J, V13, P483 29920 SAKAKIBARA K, 1992, TECHNOLOGY WEALTH NA, P327 29921 TEPSTRA V, 1993, J INT MARKETING, V1, P4 29922 TUSHMAN ML, 1977, ADM SCI Q, V22, P587 29923 WALSH K, 2003, FOREIGN HIGH TECH R 29924 WILLIAMSON OE, 1991, ADM SCI Q, V36, P269 29925 YIN RK, 1989, CASE STUDY RES DESIG 29926 YIN RK, 1993, APPL CASE STUDY RES 29927 ZANDER I, 2002, IND CORP CHANGE, V11, P327 29928 NR 30 29929 TC 0 29930 PU INDERSCIENCE ENTERPRISES LTD 29931 PI GENEVA 29932 PA WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 896, 29933 CH-1215 GENEVA, SWITZERLAND 29934 SN 0267-5730 29935 J9 INT J TECHNOL MANAGE 29936 JI Int. J. Technol. Manage. 29937 PY 2007 29938 VL 39 29939 IS 3-4 29940 BP 297 29941 EP 310 29942 PG 14 29943 SC Engineering, Multidisciplinary; Management; Operations Research & 29944 Management Science 29945 GA 192CU 29946 UT ISI:000248179200005 29947 ER 29948 29949 PT J 29950 AU Martinez-Salvado, M 29951 Beltran-Morales, L 29952 Valdez-Cepeda, R 29953 Arias, HR 29954 Troyo-Dieguez, E 29955 Murillo-Amador, B 29956 Galindo, JJ 29957 Ortega-Rubio, A 29958 AF Martinez-Salvado, M. 29959 Beltran-Morales, L. 29960 Valdez-Cepeda, R. 29961 Arias, H. Rubio 29962 Troyo-Dieguez, E. 29963 Murillo-Amador, B. 29964 Galindo, J. Jimenez 29965 Ortega-Rubio, A. 29966 TI Assessment of sustainability performance on the utilization of Agave 29967 (Agave salmiana ssp crassispina) in Zacatecas, Mexico 29968 SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY 29969 LA English 29970 DT Article 29971 DE agave; sustainability index; native species; exploitation 29972 AB Agave is a native plant utilized for mezcal and tequila production. 29973 Since 1997, Agave exploitation has been increasing, leading to possible 29974 ecological deterioration and without social and economic benefits for 29975 the rural population. A sustainability index was developed for 29976 1990-2001, including social, economic and ecological indicators related 29977 to Agave exploitation at Zacatecas, Mexico. Increases in the rural 29978 population have had a negative effect on Agave sustainability, directly 29979 affecting the ecological component of sustainability. Increased Agave 29980 exploitation has not improved the socio-economic components and has 29981 negatively affected the ecological indicators. All these factors 29982 resulted in a low (= 0.6) sustainability index. A lack of appropriate 29983 management may have led to the exploitation of native plants, leading 29984 to ecological deterioration of the local plant populations, without 29985 contributing to socio-economic improvement for the human population. 29986 The model using the sustainability index may also be validated for 29987 other species within this region. 29988 C1 Inst Nacl Invest Forestales Agr & Pecuarias, Chihuahua, Mexico. 29989 Ctr Invest Biol Noroeste, La Paz, Mexico. 29990 Univ Autonoma Chapingo, CRUCEN, Zacatecas, Mexico. 29991 RP Martinez-Salvado, M, Ave Homero 3744,Fraccionamiento Vergel, Chihuahua, 29992 Mexico. 29993 EM martinez.martin@inifap.gob.mx 29994 CR *CETENAL, 1972, CART ED 29995 *OCDE, 1993, CORE IND ENV PERF RE 29996 *PNUD, 1991, INF SOBR DES HUM 29997 *UNAM, 1970, CART CLIM SANL POT 1 29998 COLUNGAGARCIAMA.P, 1993, ECON BOT, V47, P312 29999 FRANCO MI, 1995, B SOC BOT MEX, V57, P27 30000 GARCIA E, 1981, MODIFICACIONES SISTE 30001 GENTRY HS, 1982, AGAVES CONTINENTAL N 30002 HENS L, 2003, INT J SUST DEV WORLD, V6, P436 30003 HERRERAULLOA AF, 2003, INTERCIENCIA, V28, P268 30004 HOLDEN E, 2004, INT J SUST DEV WORLD, V7, P44 30005 LOREK S, 2001, INT J SUST DEV WORLD, V4, P101 30006 MARTINEZ SM, 2005, ARID LAND RES MANAG, V19, P101 30007 MARTINEZ SM, 2005, INDICADORES INDICE S 30008 MORSE S, 2004, INT J SUST DEV WORLD, V7, P410 30009 NARVAEZ FR, 2003, CRITERIOS INDICADORE 30010 RZEDOWSKI RJ, 1978, VEGETACION MEXICO 30011 SIGRID S, 2001, INT J SUST DEV WORLD, V4, P4 30012 WONOGRAD M, 1995, MARCO CONCEPTUAL DES 30013 NR 19 30014 TC 0 30015 PU SAPIENS PUBLISHING 30016 PI DUMFRIESSHIRE 30017 PA DUNCOW, KIRKMAHOE, DUMFRIESSHIRE, DG1 1TA, ENGLAND 30018 SN 1350-4509 30019 J9 INT J SUSTAIN DEV WORLD ECOL 30020 JI Int. J. Sustain. Dev. World Ecol. 30021 PD AUG 30022 PY 2007 30023 VL 14 30024 IS 4 30025 BP 362 30026 EP 371 30027 PG 10 30028 SC Ecology 30029 GA 200WI 30030 UT ISI:000248793100004 30031 ER 30032 30033 PT J 30034 AU Ong, FLC 30035 Liang, X 30036 Pillai, P 30037 Chan, PML 30038 Koltsidas, G 30039 Pavlidou, FN 30040 Ferro, E 30041 Gotta, A 30042 Cruickshank, H 30043 Iyengar, S 30044 Fairhurst, G 30045 Mancuso, V 30046 AF Ong, F. L. C. 30047 Liang, X. 30048 Pillai, P. 30049 Chan, P. M. L. 30050 Koltsidas, G. 30051 Pavlidou, F. N. 30052 Ferro, E. 30053 Gotta, A. 30054 Cruickshank, H. 30055 Iyengar, S. 30056 Fairhurst, G. 30057 Mancuso, V. 30058 TI Fusion of digital television, broadband Internet and mobile 30059 communications - Part I: Enabling technologies 30060 SO INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS AND NETWORKING 30061 LA English 30062 DT Article 30063 DE DVB; DVB-S; DVB-RCS; DVB-S2; IP; mobility management; security 30064 ID PARITY-CHECK CODES; PERFORMANCE; DESIGN 30065 AB The introduction of digital video broadcasting (DVB) satellite systems 30066 has become an important tool for future mobile communication and is 30067 currently a focus in several research areas such as the integration of 30068 DVB satellite systems with different wireless technologies. This 30069 tutorial consists of two parts, Enabling technologies and Future 30070 service scenarios, which aims to provide an introduction to the current 30071 state-of-the-art of DVB standards over satellite and its fusion with 30072 mobile and Internet technologies. 30073 This paper, Enabling technologies, focuses on providing an overview of 30074 the different technologies and issues that facilitates better 30075 understanding of the current and future operational scenarios, whereas 30076 the second paper, Future service scenarios will emphasize. future 30077 research directions in this research area. In the first part, the paper 30078 will initially be focused on the introduction of different DVB 30079 satellite systems, i.e. DVB-via satellite (DVB-S), DVB return channel 30080 by satellite (DVB-RCS) and second-generation DVB system for broadband 30081 satellite services (DVB-S2). This is then followed by a description of 30082 the different Internet Protocol (IP) technologies used to support 30083 macro- and micro-mobility and the migration strategies from IP version 30084 4 (IPv4) to IP version 6 (lPv6). Finally, the different security 30085 mechanisms for the DVB system and end-to-end satellite network are 30086 addressed. Copyright (C) 2007 John Wiley & Sons, Ltd. 30087 C1 Univ Bradford, Bradford BD7 1DP, W Yorkshire, England. 30088 Aristotle Univ Thessaloniki, GR-54006 Thessaloniki, Greece. 30089 Univ Surrey, Guildford GU2 5XH, Surrey, England. 30090 Univ Aberdeen, Aberdeen AB9 1FX, Scotland. 30091 Univ Roma Tor Vergata, Dept Biol, I-00173 Rome, Italy. 30092 RP Chan, PML, Univ Bradford, Dept Comp, Richmond Rd, Bradford BD7 1DP, W 30093 Yorkshire, England. 30094 EM p.m.l.chan@bradford.ac.uk 30095 CR *ATM FOR TECHN COM, 2001, ATM SEC SPEC VERS 1 30096 *DIG TERR TEL ACT, 2005, TEL HANDH REC BRAODC 30097 *ESA, 2004, 1762903NLND ESA 30098 *ETSI EN, 1997, 300421 ETSI EN 30099 *ETSI EN, 1999, 301210 ETSI EN 30100 *ETSI EN, 2004, 300468 ETSI EN 30101 *ETSI EN, 2004, 300744 ETSI EN 30102 *ETSI EN, 2004, 301192 ETSI EN 30103 *ETSI EN, 2004, 302304 ETSI EN 30104 *ETSI TR, 2000, 1013742 ETSI TR 30105 *ETSI TR, 2002, 101984 ETSI TR 30106 *ETSI TR, 2004, 102287 ETSI TR 30107 *ETSI TR, 2004, 102353 ETSI TR 30108 *ETSI TR, 2005, 102377 ETSI TR 30109 *ETSI TS, 2000, 103197 ETSI TS 30110 *ETSI, 2002, 301958 ETSI EN 30111 *ETSI, 2005, 301790 ETSI EN 30112 *ETSI, 2005, 302307 ETSI EN 30113 *ISO IEC, 2000, 138181 ISOIEC 30114 ALBERTAZZI G, 2004, P 10 KA BROADB COMM 30115 BORDER J, 2001, 3135 IETF RFC 30116 BOUND J, 2005, IETF INTERNET DRAFT 30117 CAMPBELL A, 2000, ACM SIGMOBILE MOBILE, V4, P45 30118 CARNEIRO G, 2004, IEEE WIREL COMMUN, V11, P7 30119 CARPENTER B, 2001, 3056 IETF RFC 30120 CASINI E, 2004, INT J SATELL COMM N, V22, P281 30121 CASTELLUCCIA C, 2000, ACM MOBILE COMPUTING, V4, P48 30122 CHAKRABORTY K, 2001, P IEEE INT C COMM HE, P2488 30123 CONFORTO P, 2002, IEEE COMMUN MAG, V40, P98 30124 CRUICKSHANK H, 2007, UNPUB IETF INTERNET 30125 DAS S, 2000, IEEE PERS COMMUN, V7, P50 30126 DEERING S, 1998, 2460 IETF RFC 30127 DURAND A, 2001, 3053 IETF RFC 30128 EROZ M, 2004, INT J SATELL COMM N, V22, P269 30129 FAIRHURST G, 2005, 4326 IETF RFC 30130 FOROUZAN BA, 2003, TCP IP PROTOCOL SUIT 30131 FU X, 2002, P 2 IFIP TC6 NETW C, P721 30132 GALLAGER RG, 1962, IEEE T INFORM THEORY, V8, P21 30133 GILLIGAN R, 2000, 2893 IETF RFC 30134 HAGINO J, 2001, 3142 IETF RFC 30135 HSIEH R, 2002, P IEEE GLOB TEL C 20, V3, P2488 30136 HUITEMA C, 2005, IETF INTERNET DRAFT 30137 JAEKEL T, 2004, TESTING DVBH SYST 30138 JOHNSON D, 2004, 3775 IETF RFC 30139 KENT S, 2005, 4301 IETF RFC 30140 KITAMURA H, 2001, 3089 IETF RFC 30141 KOODLI R, 2005, 4068 IETF RFC 30142 KORNFELD M, 2005, 301 EBU 30143 KUROSE JF, 2005, COMPUTER NETWORKING 30144 LEE S, 2002, 3338 IETF RFC 30145 LIANG X, 2003, P 14 IEEE 2003 INT S, P177 30146 MACKAY M, 2003, IEEE INTERNET COMPUT, V7, P27 30147 MANNER J, 2004, 3753 IETF RFC 30148 MAY G, 2004, P IEEE INT S CONS EL, P509 30149 MCCANN P, 2005, 4260 IETF RFC 30150 MISRA A, 2001, UNPUB IETF INTERNET 30151 MONTPETIT MJ, 2005, 4259 IETF RFC 30152 NIKANDER P, 2005, 4225 IETF RFC 30153 NORDMARK E, 2000, 2765 IETF RFC 30154 NORDMARK E, 2005, 4213 IETF RFC 30155 ONEILL A, 2000, EDGE MOBILITY ARCHIT 30156 ONEILL A, 2000, IETF INTERNET DRAFT 30157 PEREZCOSTA X, 2002, P IST MOB WIR TEL SU, P100 30158 PEREZCOSTA X, 2003, ACM SIGMOBILE MOBILE, V7, P5 30159 PERKINS C, 2002, 3344 IETF RFC 30160 POSTEL J, 1981, 791 IETF RFC 30161 REINBOLD P, 2003, IEEE COMMUNICATIONS, V5, P40 30162 RINALDO R, 2004, INT J SATELL COMM N, V22, P367 30163 ROSENBERG J, 2002, 3261 IETF RFC 30164 SAHA D, 2004, IEEE NETWORK, V18, P34 30165 SHARMA A, 2004, P ACM INT WORKSH MOB, P72 30166 SHARMA A, 2004, P LCN 2004, P435 30167 SOLIMAN H, 2005, 4140 IETF RFC 30168 TEMPLIN F, 2005, 4214 IETF RFC 30169 TSIRTSIS G, 2000, 2766 IETF RFC 30170 TSUCHIYA K, 2000, 2767 IETF RFC 30171 VAZQUEZCASTRO MA, 2004, P VTC 2004 30172 WEDLUND E, 1999, P 2 ACM INT WORKSH W, P76 30173 WHELBY ZD, 2001, UNPUB IETF INTERNET 30174 WILLIAMS C, 2005, UNPUB IETF INTERNET 30175 WOOD D, 1997, ELECTRON COMMUN ENG, V9, P5 30176 NR 81 30177 TC 0 30178 PU JOHN WILEY & SONS LTD 30179 PI CHICHESTER 30180 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 30181 SN 1542-0973 30182 J9 INT J SATELL COMMUN NETW 30183 JI Int. J. Satell. Commun. Netw. 30184 PD JUL-AUG 30185 PY 2007 30186 VL 25 30187 IS 4 30188 BP 363 30189 EP 407 30190 PG 45 30191 SC Engineering, Aerospace; Telecommunications 30192 GA 191TI 30193 UT ISI:000248154500003 30194 ER 30195 30196 PT J 30197 AU Molina, A 30198 Velandia, M 30199 Galeano, N 30200 AF Molina, A. 30201 Velandia, M. 30202 Galeano, N. 30203 TI Virtual enterprise brokerage: a structure-driven strategy to achieve 30204 build to order supply chains 30205 SO INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 30206 LA English 30207 DT Article 30208 DE virtual enterprise; manufacturing strategy; supply chain management; 30209 manufacturing systems 30210 ID INFORMATION-TECHNOLOGY; SYSTEMS; PERFORMANCE; STOCK; MODEL 30211 AB This paper proposes the concept of the virtual enterprise broker as an 30212 innovative model to design and create build to order supply chains. The 30213 build to order supply chain responds to the demands of new global 30214 manufacturing economy offering high level of customisation, high 30215 customer driven design, volume flexibility, short cycle time, no 30216 inventory costs, minimal total cost and supply chain integration. A 30217 review of different manufacturing operational models, including make to 30218 stock, make to order, assembly to order, engineer to order and 30219 configure to order, is presented to set the context for the 30220 requirements of build to order operations. The virtual enterprise 30221 broker is proposed as a structure driven strategy to support the 30222 creation of dynamic supply chains to satisfy build to order 30223 requirements. The virtual enterprise broker strategy is described in 30224 terms of core processes and competencies. We also demonstrate of how 30225 the virtual enterprise broker strategy has been implemented in various 30226 industrial scenarios related to supply maintenance tooling for the 30227 aerospace industry, standard parts for capital goods equipment, and 30228 design and manufacturing of medical devices. 30229 C1 Inst Tecnol & Estud Super Monterrey, Nuevo Leon 64849, Mexico. 30230 RP Molina, A, Inst Tecnol & Estud Super Monterrey, Ave Eugenio Garza Sada 30231 2501 Monterrey, Nuevo Leon 64849, Mexico. 30232 EM armolina@itesm.mx 30233 CR AGRAWAL M, 2001, MCKINSEY Q, V3, P62 30234 AMARO G, 1999, INT J OPER PROD MAN, V19, P349 30235 ANDEL T, 2002, MAT HANDLING MANAGEM, V57, P24 30236 BERTSIMAS D, 2001, OPER RES, V49, P119 30237 BREMER C, 1999, INT J AGILE MANUFACT, V2, P1 30238 BROWNE J, 1999, INT J AGILE MANAGEME, V1, P30 30239 CABALLERO D, 2000, E BUSINESS VIRTUAL E, P443 30240 CAMARINHAMATOS LM, 1999, INFRASTRUCTURES VIRT, V153 30241 CAMARINHAMATOS LM, 2003, COMPUT IND, V51, P139 30242 CARBONE J, 2001, PURCHASING, V128, P75 30243 CARBONE J, 2001, PURCHASING, V130, P37 30244 DAVIDOW WH, 1992, VIRTUAL CORPORATION 30245 EVERSHEIM W, 1998, ZWF 93, P62 30246 FLORES M, 2000, ADV NETWORKED ENTERP, P111 30247 GALEANO N, 2005, 16 IFAC WORLD C 4 8 30248 GILMORE JH, 1997, HARVARD BUS REV, V75, P91 30249 GLASSERMAN P, 1998, OPER RES, V46, P858 30250 GOLDMAN S, 1995, AGILE COMPETITORS VI 30251 HENDRY LC, 1998, J OPER MANAG, V16, P63 30252 HICKS C, 2000, INT J PROD RES, V38, P4783 30253 HICKS C, 2001, INT J LOGISTICS RES, V4, P43 30254 HOLWEG M, 2001, MIT SLOAN MANAGE REV, V43, P74 30255 KANET JJ, 1999, INT J PROD ECON, V62, P23 30256 KATZY B, 1996, 431996 TECHN RUNDSCH, P30 30257 KRAEMER KL, 2000, INFORM SOC, V16, P5 30258 MCCARTHY I, 1995, J MANUFACTURING TECH, V6, P37 30259 MCGOVERN T, 1999, INT J LOGIST RES APP, V2, P147 30260 MEJIA R, 2002, COLLABORATIVE BUSINE, P81 30261 MEJIA R, 2002, KNOWLEDGE TECHNOLOGY, P141 30262 MOLINA A, 1998, AGILITY GLOBAL COMPE, V2, P56 30263 MOLINA A, 1999, J INTELL ROBOT SYST, V26, P289 30264 MOLINA A, 1999, REV FRANCAISE GESTIO, V19, P63 30265 MOLINA A, 2001, FORESIGHT, V3, P59 30266 MOLINA A, 2006, INTEGRATION ICT SMAR, P68 30267 MUDA S, 2002, INT J PROD RES, V40, P353 30268 MUDA S, 2002, INT J PROD RES, V40, P353 30269 NEW SJ, 1997, SUPPLY CHAIN MANAG, V2, P15 30270 PINE BJ, 1993, MASS CUSTOMISATION 30271 PORTER K, 1999, INTEGRATED MANUFACTU, V10, P189 30272 RAJAGOPALAN S, 2002, MANAGE SCI, V48, P241 30273 REHG J, 2001, COMPUTER INTEGRATED 30274 SEN W, 2000, P IEEE INT C MAN INN, V2, P782 30275 SHALADDIN M, 2003, INT J OP PROD MANAGE, V23, P470 30276 SONG JS, 1999, OPER RES, V47, P131 30277 SONG JS, 2000, MANAGE SCI, V46, P739 30278 SOUZA GC, 2002, INT J PROD RES, V40, P477 30279 SVENSSON C, 2000, 4 SME INT C MAN INF 30280 TERRENCE A, 1998, ELECT BUYERS NE NOV, P64 30281 WEMMERLOV U, 1984, J OPERATIONS MANAGEM, V4, P347 30282 WERTHER WB, 1999, BUS HORIZONS, V42, P13 30283 YHE C, 2000, IND MANAGE DATA SYST, V4, P180 30284 NR 51 30285 TC 0 30286 PU TAYLOR & FRANCIS LTD 30287 PI ABINGDON 30288 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND 30289 SN 0020-7543 30290 J9 INT J PROD RES 30291 JI Int. J. Prod. Res. 30292 PY 2007 30293 VL 45 30294 IS 17 30295 BP 3853 30296 EP 3880 30297 PG 28 30298 SC Engineering, Industrial; Engineering, Manufacturing; Operations 30299 Research & Management Science 30300 GA 189CU 30301 UT ISI:000247967400004 30302 ER 30303 30304 PT J 30305 AU Junnila, S 30306 AF Junnila, Seppo 30307 TI Environmentally significant processes of consulting, banking and 30308 facility management companies in Finland and the US 30309 SO INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT 30310 LA English 30311 DT Article 30312 DE climate change; environmental impact; environmental management; 30313 scenario analysis; services companies 30314 ID LIFE-CYCLE ASSESSMENT; IMPACT ASSESSMENT; PERFORMANCE 30315 AB Background, Aims, and Scope. A significant shift towards services has 30316 occurred globally though service industry companies are still, 30317 typically, neglected when the significant environmental players in the 30318 society are listed. However, scientific evidence is increasingly 30319 showing that the service sector may produce a notable share of the 30320 environmental impact in the society. Unfortunately, very few 30321 quantitative studies exist that would have determined the 30322 environmentally significant processes of a service industry 30323 organization. The purpose of this study is, therefore, to quantify the 30324 environmental impact of selected service industry companies, and to 30325 identify the processes with the highest environmental contribution. 30326 Methods. A multiple case study method with life cycle assessment (LCA) 30327 framework using both process and input-output data was used to estimate 30328 the environmental impact of four service industry organizations in 30329 Europe and the U.S. The companies studied are all international or 30330 global companies, and the functional unit of the LCA is the yearly 30331 operation of the organization per employee. The firms chosen have 30332 noticeable differences in terms of size, location, and their line of 30333 business. 30334 Results. Regardless the significant differences in the size, location 30335 and line of business, the same activities were always found to 30336 contribute the most on the environmental impact of the organizations. 30337 The office premises clearly contributed the most (some 40%) to the 30338 environmental impact and commuting was the second most significant 30339 contributing factor (some 20%). The contribution of all the other 30340 activities, the business travel, the purchases services, the use of 30341 office equipment and the office supplies was found to be clearly less 30342 significant. The U.S. based case was found to produce constantly higher 30343 impact values than all the other cases. The range of differences 30344 between the U.S. case and the others were quite substantial: around 30345 two- to five-fold. Interestingly, it seemed that the differences in 30346 impacts were explained half by the differences in the surrounding 30347 infrastructure and supply chain, and half by the differences in the 30348 actual operating quantities of the studied organizations. 30349 Discussion. As the results were not particularly sensitive to the 30350 changes from company specific processes to the statistical averages in 30351 Finland, they could be expected to give a relatively good estimation of 30352 a typical Finnish organization in the relevant fields of services 30353 industry. However, services industry includes a broad scope of 30354 different kinds of companies, and thus the results would probably not 30355 apply for all services companies, for example, travel agencies and 30356 cleaning services. 30357 Conclusions. The result would imply that in several services sectors 30358 the office premises related processes could potentially produce 30359 significant amount of environmental impacts. In addition, it seems that 30360 the LCA method could produce added value for environmental management 30361 in services companies because, at the moment, the focus of the 30362 environmental objectives there appear biased toward activities not 30363 having high environmental importance. 30364 Recommendations and Perspectives. Based on the results, many 30365 organizations could start their environmental work by concentrating on 30366 the office premises related processes. In the future, the environmental 30367 significance of services industries in the society should be studied 30368 more thoroughly, as the services industry could, based on the results 30369 of the study, offer an untapped management potential for sustainable 30370 communities. 30371 C1 Helsinki Univ Technol, Dept Civil & Environm Engn, Helsinki 02015, Finland. 30372 RP Junnila, S, Helsinki Univ Technol, Dept Civil & Environm Engn, POB 30373 9800, Helsinki 02015, Finland. 30374 EM seppo.junnila@tkk.fi 30375 CR *EC, 1997, EUR METH EV EN IMP B 30376 *LCA SOFTW, 2004, KCL ECO 4 0 30377 *PRE CONS, 2004, SIM 6 0 30378 *PRE CONS, 2006, SIM 70 30379 *PRE CONS, 2006, SIMPR 7 0 30380 *TXU, 2002, TXU ENV REV 30381 *WORLD BANK, 2005, WORLD DEV IND 05 30382 BAUMANN H, 2004, PROG IND ECOL INT J, V1, P292 30383 CHARTER M, 2000, INTEGRATED PRODUCT P 30384 CONSOLI F, 1993, GUIDELINES LIFE CYCL 30385 EKVALL T, 2006, INT J LIFE CYCLE ASS, V11, P344 30386 FACANHA C, 2006, INT J LIFE CYCLE ASS, V11, P229 30387 FIKSEL J, 2003, ENVIRON SCI TECHNOL, V37, P5330 30388 FOSTER ST, 2000, INT J OPER PROD MAN, V20, P187 30389 FRANKEN EA, 1998, ACAD RADIOL, V5, P1 30390 GRAEDEL TE, 1998, J IND ECOLOGY, V1, P57 30391 GRAEDEL TE, 2002, INT J LIFE CYCLE ASS, V7, P219 30392 HANEMANN M, 2005, MANAGING GREENHOUSE 30393 HAYASHI K, 2006, INT J LIFE CYCLE ASS, V11, P150 30394 HELIAS A, 2004, J IND ECOL, V8, P9 30395 HELMINEN V, 2003, 611 ET TY SUOM 30396 HOVI K, 2004, PRODUCTION ELECT HEA 30397 HUNKELER D, 2005, INT J LIFE CYCLE ASS, V10, P305 30398 INBERG A, 2000, E58 EUR UN 30399 JUNNILA S, 2004, FACILITIES, V22, P190 30400 JUNNILA S, 2004, THESIS HELSINKI U TE 30401 JUNNILA S, 2006, EMPIRICAL COMP PROCE 30402 JUNNILA S, 2006, J IND ECOL, V10, P113 30403 JUNNILA S, 2006, J INFRAST SYST, V12, P10 30404 KRUTWAGEN B, 6 INT C 29 30 OCT DE 30405 LIIKANEN J, 1999, 19 MIN TRAD IND 30406 LINDFORS LG, 1995, 20 NORD COUNC MIN 30407 LINE M, 2002, CORPORATE ENV STRATE, V9, P69 30408 MAKELA K, 2002, LIPASTO CALCULATION 30409 MEIJER A, 2006, INT J LIFE CYCLE ASS, V11, P64 30410 MONGELLI I, 2005, INT J LIFE CYCLE ASS, V10, P317 30411 NAKAMURA S, 2006, INT J LIFE CYCLE ASS, V11, P305 30412 NEOVONEN P, 2002, P CIB IISBE INT C SU 30413 NISHIOKA Y, 2005, INT J LIFE CYCLE ASS, V10, P193 30414 NOUSIAINEN M, 2005, 11 CIB INT S COMB FO 30415 ROSENBLUM J, 2000, ENVIRON SCI TECHNOL, V34, P4669 30416 SCHMIDT WP, 2002, INT J LIFE CYCLE ASS, V7, P5 30417 SOLO M, 2003, RECYCLING OFFICE WAS 30418 SOUMI U, 2003, ENERGY AUDITING BUIL 30419 STAHEL W, 2001, SUSTAINABLE SOLUTION 30420 STOKES J, 2005, INT J LCA, V11, P335 30421 SUH S, 2004, ENVIRON SCI TECHNOL, V38, P657 30422 SUH S, 2006, ENVIRON SCI TECHNOL, V40, P6555 30423 TARNA K, 1999, GREEN MAN INT, V27, P49 30424 TIEHALLINTO, 2003, DISTANCE FINLAND PAI 30425 TORRAS M, 2003, INT J SOC ECON, V30, P700 30426 TRELOAR G, 2000, CONTRUCT MANAG EC, V8, P5 30427 VIRTANEN Y, 1996, 17821787 VTT 30428 WONG M, 2004, THESIS U CAMBRIDGE C 30429 NR 54 30430 TC 0 30431 PU ECOMED PUBLISHERS 30432 PI LANDSBERG 30433 PA JUSTUS-VON-LIEBIG-STR 1, D-86899 LANDSBERG, GERMANY 30434 SN 0948-3349 30435 J9 INT J LIFE CYCLE ASSESS 30436 JI Int. J. Life Cycle Assess. 30437 PD AUG 30438 PY 2007 30439 VL 12 30440 SI Sp. Iss. 1 30441 BP 18 30442 EP 27 30443 PG 10 30444 SC Engineering, Environmental; Environmental Sciences 30445 GA 192ZR 30446 UT ISI:000248243200006 30447 ER 30448 30449 PT J 30450 AU Yelick, K 30451 Hilfinger, P 30452 Graham, S 30453 Bonachea, D 30454 Su, J 30455 Kamil, A 30456 Datta, K 30457 Colella, P 30458 Wen, T 30459 AF Yelick, K. 30460 Hilfinger, P. 30461 Graham, S. 30462 Bonachea, D. 30463 Su, J. 30464 Kamil, A. 30465 Datta, K. 30466 Colella, P. 30467 Wen, T. 30468 TI Parallel languages and compilers: Perspective from the Titanium 30469 experience 30470 SO INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS 30471 LA English 30472 DT Article 30473 DE Titanium; parallel; language; compiler 30474 ID IMPLEMENTATION; DESIGN 30475 AB We describe the rationale behind the design of key features of 30476 Titanium-an explicitly parallel dialect of Java for high-performance 30477 scientific programming-and our experiences in building applications 30478 with the language. Specifically, we address Titanium's partitioned 30479 global address space model, single program multiple data parallelism 30480 support, multi-dimensional arrays and array-index calculus, memory 30481 management, immutable classes (class-like types that are value types 30482 rather than reference types), operator overloading, and generic 30483 programming. We provide an overview of the Titanium compiler 30484 implementation, covering various parallel analyses and optimizations, 30485 Titanium runtime technology and the GASNet network communication layer. 30486 We summarize results and lessons learned from implementing the NAS 30487 parallel benchmarks, elliptic and hyperbolic solvers using adaptive 30488 mesh refinement, and several applications of the immersed boundary 30489 method. 30490 C1 Univ Calif Berkeley, Div Comp Sci, Berkeley, CA 94720 USA. 30491 Lawrence Berkeley Lab, Berkeley, CA 94720 USA. 30492 RP Yelick, K, Univ Calif Berkeley, Div Comp Sci, Berkeley, CA 94720 USA. 30493 EM YELICK@CS.BERKELEY.EDU 30494 CR *CRAY INC, 2003, MAN PAG COLL SHAR ME 30495 *DOLPH INT SOL, 2001, SISCI API US GUID V1 30496 *HIGH PERF FORTR F, 1997, HIGH PERF FORTR LANG 30497 *IBM, 2003, SA22793600 IBM 30498 *IEEE OP GROUP, 2004, PORT OP SYST INT POS 30499 *INTR TECHN INC, GCC UPC COMP 30500 *MELL TECHN INC, 2001, MELL IB VERBS API VA 30501 *MPI FOR, 1995, INT J HIGH PERFORM C, V12, P1 30502 *MPI FOR, 1995, MPI MESS PASS INT ST 30503 *MYR INC, 2002, GM MESS PASS SYST 30504 *OPEN64, OPEN64 PROJ RIC U 30505 *OPENMP, OPENMP SPEC 30506 *QUADR SUP, EL PROGR MAN 30507 AIKEN A, 1998, PRINCIPLES PROGRAMMI 30508 ANDERSEN LO, 1994, PROGRAM ANAL SPECIFI 30509 BAILEY DH, 1991, INT J SUPERCOMPUT AP, V5, P63 30510 BALLS GT, 2002, J COMPUT PHYS, V180, P25 30511 BELL C, 2002, WORKSH COMM ARCH CLU 30512 BELL C, 2004, 19 ANN INT C SUP ICS 30513 BELL C, 2006, 20 INT PAR DISTR PRO 30514 BERGER MJ, 1984, J COMPUT PHYS, V53, P484 30515 BERKELEY UPC, 1995, BERKELEY UPC COMPILE 30516 BLELLOCH G, 1995, CMUCS95170 30517 BODIN F, 1993, SCI PROGRAMMING, V2 30518 BOEHM H, GARBAGE COLLECTOR C 30519 BOEHM H, 1988, SOFTWARE PRACTICE EX, V8, P807 30520 BONACHEA D, 2002, CSD021207 U CAL 30521 BONACHEA D, 2003, 2 WORKSH HARDW SOFTW 30522 CARLSON WW, 1995, P 5 ACM SIGPLAN S PR, P39 30523 CHAMBERLAIN BL, 2000, SUPERCOMPUTING 00 30524 CHEN W, 2003, P 17 INT C SUP ICS S 30525 CULLER D, 1993, SUPERCOMPUTING SC199 30526 DATTA K, 2005, 18 INT WORKSH LANG C 30527 DETLEFS D, 1993, CUCS66593 U COL BOUL 30528 FRIGO M, 2005, P IEEE, V93, P216 30529 GAY D, 2001, SIGPLAN C PROGR LANG, P70 30530 GIVELBERG E, 2003, J COMPUT PHYS, V191, P377 30531 GIVELBERG E, 2006, SIAM J SCI COMPUT, V28, P1361 30532 HILFINGER P, 2001, UCBCSD011163 30533 HILFINGER PN, 1989, SYMBOLIC COMPUTATION, P97 30534 KALE LV, 2004, P 7 WORKSH LANG COMP 30535 KAMIL A, 2005, 18 INT WORKSH LANG C 30536 KAMIL A, 2005, P 2005 ACM IEEE C SU 30537 KESSELMAN C, 1996, ACM SIGAPP APPL COMP, V4, P24 30538 LAWSON CL, 1979, ACM T MATH SOFTWARE, V5, P308 30539 LEE HK, 2004, 27 ACM SIGPLAN SIGAC, V19, P175 30540 LIU JX, 2004, INT J PARALLEL PROG, V32, P167 30541 MCCORQUODALE P, 1999, INT PAR COMP FLUID D 30542 MCQUEEN DM, 1983, J THORAC CARDIOV SUR, V86, P126 30543 MERCHANT S, 2003, ANAL CONTRACTILE TOR 30544 NIEPLOCHA J, 1999, P RTSPP IPPS SDP 99 30545 NUMRICH RW, 1998, ACM FORTRAN FORUM, V17, P1 30546 PESKIN C, 1972, THESIS ALBERT EINSTE 30547 PESKIN CS, 2002, ACT NUMERIC, V11, P479 30548 PIKE G, 1999, 9 SIAM C PAR PROC SC 30549 PIKE G, 2002, P IEEE ACM SC2002 C 30550 PIKE G, 2002, THESIS U CALIFORNIA 30551 SNYDER L, 1999, ZPL PROGR GUID 30552 SU J, 2005, 19 INT PAR DISTR PRO 30553 SU JZ, 2006, UCBEECS200687 30554 VONEICKEN T, 1992, P 19 INT S COMP ARCH, P256 30555 WEN T, 2005, 19 INT PAR DISTR PRO 30556 YAU SM, 2002, EXPERIENCES USING TI 30557 YELICK K, 1998, CONCURRENCY-PRACT EX, V10, P825 30558 NR 64 30559 TC 0 30560 PU SAGE PUBLICATIONS LTD 30561 PI LONDON 30562 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 30563 SN 1094-3420 30564 J9 INT J HIGH PERFORM COMPUT APP 30565 JI Int. J. High Perform. Comput. Appl. 30566 PD FAL 30567 PY 2007 30568 VL 21 30569 IS 3 30570 BP 266 30571 EP 290 30572 PG 25 30573 SC Computer Science, Hardware & Architecture; Computer Science, 30574 Interdisciplinary Applications; Computer Science, Theory & Methods 30575 GA 202FH 30576 UT ISI:000248886900003 30577 ER 30578 30579 PT J 30580 AU Diaconescu, RE 30581 Zima, HP 30582 AF Diaconescu, R. E. 30583 Zima, H. P. 30584 TI An approach to data distributions in Chapel 30585 SO INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS 30586 LA English 30587 DT Article 30588 DE high productivity language; chapel; user-defined data distributions; 30589 locality 30590 ID HIGH-PERFORMANCE FORTRAN 30591 AB A key characteristic of today's high performance computing systems is a 30592 physically distributed memory, which makes the efficient management of 30593 locality essential for taking advantage of the performance enhancements 30594 offered by these architectures. Currently, the standard technique for 30595 programming such systems involves the extension of traditional 30596 sequential programming languages with explicit message-passing 30597 libraries, in a processor-centric model for programming and execution. 30598 It is commonly understood that this programming paradigm results in 30599 complex, brittle, and error-prone programs, because of the way in which 30600 algorithms and communication are inextricably interwoven. 30601 This paper describes a new approach to locality awareness, which 30602 focuses on data distributions in high-productivity languages. Data 30603 distributions provide an abstract specification of the partitioning of 30604 large-scale data collections across memory units, supporting 30605 coarse-grain parallel computation and locality of access at a high 30606 level of abstraction. Our design, which is based on a new programming 30607 language called Chapel, is motivated by the need to provide a 30608 high-productivity paradigm for the development of efficient and 30609 reusable parallel code. We present an object-oriented framework that 30610 allows the explicit specification of the mapping of elements in a 30611 collection to memory units, the control of the arrangement of elements 30612 within such units, the definition of sequential and parallel iteration 30613 over collections, and the formulation of specialized allocation 30614 policies as required for advanced applications. The result is a concise 30615 high-productivity programming model that separates algorithms from data 30616 representation and enables reuse of distributions, allocation policies, 30617 and data structures. 30618 C1 CALTECH, CACR, Pasadena, CA 91125 USA. 30619 CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA. 30620 Univ Vienna, Inst Comp Sci, A-1010 Vienna, Austria. 30621 RP Diaconescu, RE, CALTECH, CACR, Pasadena, CA 91125 USA. 30622 EM ZIMA@JPL.NASA.GOV 30623 CR *CRAY INC, 2005, CHAP SPEC 4 0 30624 *ECMA, 2005, ECMA334 30625 *HIGH PERF EMB COM, 1997, HIGH PERF FORTR LANG 30626 *HIGH PERF EMB COM, 2006, VSIPL SPEC PAR SPEC 30627 *IND U PERV TECHN, 2004, HIGH PERF JAV 30628 *PAC SIERR RES COR, 1990, MIMDIZER US GUID VER 30629 *SUN DEV NETW, JAV RMI 30630 ALBERT E, 1988, P S PAR PROGR EXP AP, P42 30631 ALLEN E, 2005, FORTRESS LANGUAGE SP 30632 ANDRE F, 1990, INT C SUP AMST NETH, P380 30633 BENKNER S, 1999, PARALLEL COMPUT, V25, P1785 30634 BODIN F, 1993, SCI PROGRAMMING, V2 30635 CALLAHAN D, 2004, 9 INT WORKSH HIGH LE, P52 30636 CHAMBERLAIN BL, 2001, THESIS U WASHINGTON 30637 CHAPMAN B, 1992, SCI PROG, V1, P31 30638 CHARLES P, 2005, C OBJ OR PROGR SYST, P519 30639 CHOY R, PARALLEL MATLAB DOIN 30640 CULLER DE, 1993, P SUPERCOMPUTING 93, P262 30641 DARTE A, 2003, J PARALLEL DISTR COM, V63, P887 30642 DIACONESCU RE, 2006, NEW APPROACH LOCALIT 30643 DOTSENKO Y, 2004, P 13 INT C PAR ARCH, P29 30644 FINKE PA, 1998, NUTR CYCL AGROECOSYS, V50, P1 30645 FOX G, 1990, CRPCTR90079 RIC U 30646 GAMMA E, 1999, DESIGN PATTERN ELEME 30647 GANNON D, 1993, P SUP 93 30648 GANNON D, 2001, COMPILER OPTIMIZATIO, P73 30649 HAMEL L, 1992, LANGUAGES COMPILERS 30650 HATCHER P, 1991, 3 ACM SIGPLAN S PRIN, P73 30651 HUSBANDS P, 2003, ICS 03, P63 30652 IKUDOME K, 1990, 5TH P DISTR MEM COMP, P1105 30653 KALE LV, 1993, P OOPSLA 93, P91 30654 KANDEMIR M, 1999, ACM T PROGR LANG SYS, V21, P1251 30655 KENNEDY K, UNPUB 3 ACM SIGPLAN 30656 KENNEDY K, 1995, P 9 INT PAR PROC S S 30657 LEA D, 1997, CONCURRENT PROGRAMMI, CH5 30658 LI J, 1990, P SUPERCOMPUTING 90, P865 30659 MEHROTRA P, 1991, ADV LANGUAGES COMPLI 30660 MEHROTRA P, 1998, PARALLEL COMPUT, V24, P325 30661 MERLIN JH, 1991, LECT NOTES COMPUTER, V591, P184 30662 MILLSTEIN RE, 1973, COMMUN ACM, V16, P621 30663 PASE D, 1991, MPP FORTRAN PROGRAMM 30664 REEVES A, 1991, COMPILERS RUNTIME SO 30665 ROGERS A, 1989, C PROGR LANG DES IMP, P69 30666 RUHL R, 1990, INT C SUP AMST NETH 30667 SAKAGAMI H, 2002, P SC2002 30668 YELICK K, 1998, ACM 1998 WORKSH JAV 30669 ZIMA HP, 1992, 21 NASA LANGL RES CT 30670 NR 47 30671 TC 1 30672 PU SAGE PUBLICATIONS LTD 30673 PI LONDON 30674 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 30675 SN 1094-3420 30676 J9 INT J HIGH PERFORM COMPUT APP 30677 JI Int. J. High Perform. Comput. Appl. 30678 PD FAL 30679 PY 2007 30680 VL 21 30681 IS 3 30682 BP 313 30683 EP 335 30684 PG 23 30685 SC Computer Science, Hardware & Architecture; Computer Science, 30686 Interdisciplinary Applications; Computer Science, Theory & Methods 30687 GA 202FH 30688 UT ISI:000248886900005 30689 ER 30690 30691 PT J 30692 AU Robson, SM 30693 Hansson, RO 30694 AF Robson, Sean M. 30695 Hansson, Robert O. 30696 TI Strategic self development for successful aging at work 30697 SO INTERNATIONAL JOURNAL OF AGING & HUMAN DEVELOPMENT 30698 LA English 30699 DT Article 30700 ID EMPLOYEE DEVELOPMENT ACTIVITY; OLDER WORKERS; CAREER-DEVELOPMENT; 30701 LIFE-SPAN; AGE; EFFICACY; PERFORMANCE; MODEL; RETIREMENT; MALLEABILITY 30702 AB Two studies involving 265 participants were conducted to assess the 30703 content and range of strategies used by employees to age successfully 30704 in the work-place. Study 1 included 64 individuals ranging in age from 30705 23 to 61. These individuals were asked to list up to five activities 30706 they have pursued in five potentially important areas of development. 30707 Content analyses on these activities were then conducted for purposes 30708 of item development. In the second study, the sample was limited to 201 30709 older workers, defined as employees age 40 and older. Participants 30710 completed several scales examining the frequency with which they 30711 engaged in activities related to successful aging at work. Factor 30712 analyses indicated seven major types of strategies: 1) Relationship 30713 Development, 2) Security, 3) Continuous Learning, 4) Stress-Relief, 5) 30714 Skill Extension, 6) Career Management, and 7) Conscientiousness. 30715 Analyses indicated that each strategy domain was positively related to 30716 perceived success. Furthermore, hierarchical regression analyses 30717 indicated that Security, Relationship Development, Continuous Learning, 30718 and Career Management strategies were predictive of success above and 30719 beyond important characteristics of the individual or employing 30720 organization. The results also indicated that age moderated the 30721 relationship between strategy use and perceived success for two 30722 strategy domains. Relationship Development and Skill Extension 30723 strategies were less strongly related to perceived success as employees 30724 aged. Implications of these findings are discussed in relation to 30725 theory development, application, and future research. 30726 C1 Radford Univ, Radford, VA 24142 USA. 30727 Univ Tulsa, Tulsa, OK 74104 USA. 30728 RP Robson, SM, Radford Univ, POB 6946, Radford, VA 24142 USA. 30729 EM smrobson@radford.edu 30730 CR *AARP, 2003, STAYING AH CURV 2003 30731 *RAND CORP, RAND 36 IT HLTH SURV 30732 ABELES RP, 1987, LIFESPAN PERSPECTIVE 30733 ABRAHAM JD, 1993, THESIS U TULSA OKLAH 30734 AIKEN LS, 1991, MULTIPLE REGRESSION 30735 ARTHUR MB, 1995, ACAD MANAGEMENT EXEC, V9, P7 30736 BAILEY LL, 1995, J GERONTOL, V50, P280 30737 BALTES MM, 1999, HDB THEORIES AGING, P209 30738 BALTES PB, 1990, SUCCESSFUL AGING PER, P1 30739 BANDURA A, 1977, PSYCHOL REV, V84, P191 30740 BIRDI K, 1997, J APPL PSYCHOL, V82, P845 30741 CARR JZ, 2003, J APPL PSYCHOL, V88, P605 30742 CARSTENSEN LL, 1998, CURR DIR PSYCHOL SCI, V7, P144 30743 CHAN SW, 2001, J LABOR ECON, V19, P484 30744 CHERRINGTON DJ, 1979, ACAD MANAGE J, V22, P617 30745 COHEN J, 1988, STAT POWER ANAL BEHA 30746 DUBIN SS, 1990, MAINTAINING PROFESSI, P9 30747 EKERDT D, 1996, J GERONTOLOGY SOCIAL, V48, S35 30748 EKERDT DJ, 2000, RES AGING, V22, P3 30749 FABRIGAR LR, 1999, PSYCHOL METHODS, V4, P272 30750 FLETCHER WL, 1992, J APPL GERONTOL, V11, P489 30751 FOSSUM JA, 1986, ACAD MANAGE REV, V11, P362 30752 GIST ME, 1992, ACAD MANAGE REV, V17, P183 30753 GOLDSTEIN IL, 1993, TRAINING ORG NEEDS A 30754 GRELLER MM, 1995, J VOCAT BEHAV, V47, P232 30755 GRELLER MM, 2000, INT J AGING HUM DEV, V50, P215 30756 GRIFFIN MA, 2000, J OCCUP HEALTH, V5, P347 30757 GRZEDA M, 1999, J CAREER DEV, V25, P233 30758 HALL DT, 1971, ORGAN BEHAV HUM PREF, V6, P50 30759 HALL DT, 1986, CAREER DEV ORG, P120 30760 HALL DT, 1991, CAREER DEV ORG 30761 HALL DT, 1995, J VOCAT BEHAV, V47, P269 30762 HALL DT, 2004, J VOCAT BEHAV, V65, P1 30763 HANSSON RO, 1997, J VOCAT BEHAV, V51, P202 30764 HANSSON RO, 2001, WORK, V16, P1 30765 JONES C, 1996, ACAD MANAGEMENT EXEC, V10, P89 30766 KANFER R, 1994, KEY REV MANAGERIAL P 30767 KATZELL RA, 1990, AM PSYCHOL, V45, P144 30768 KOZLOWSKI SWJ, 1987, PERS PSYCHOL, V40, P539 30769 LATHAM GP, 1994, INCREASING PRODUCTIV 30770 LOCKE EA, 1984, J APPL PSYCHOL, V69, P241 30771 LOCKE EA, 1990, THEORY GOAL SETTING 30772 MAURER TJ, 1994, J APPL PSYCHOL, V79, P3 30773 MAURER TJ, 2001, J MANAGE, V27, P123 30774 MAURER TJ, 2002, ACAD MANAGE REV, V27, P432 30775 MAURER TJ, 2003, J APPL PSYCHOL, V88, P707 30776 MCEVOY GM, 1989, J APPL PSYCHOL, V74, P11 30777 MEZIERE CM, 1994, THESIS U TULSA OKLAH 30778 NOE RA, 1993, J APPL PSYCHOL, V78, P291 30779 NOE RA, 1997, IMPROVING TRAINING E 30780 NUNNALLY JC, 1994, PSYCHOMETRIC THEORY 30781 PERRY EL, 1996, J APPL PSYCHOL, V81, P628 30782 RAIDER HJ, 1996, BOUNDARYLESS CAREER 30783 REICHERS AE, 1990, ORG CLIMATE CULTURE, P5 30784 REIDIGER M, 2005, J GERONTOL B-PSYCHOL, V60, P84 30785 RUHM CJ, 1989, GERONTOLOGIST, V29, P294 30786 RUHM CJ, 1990, J LABOR ECON, V8, P482 30787 SCHABRACQ MJ, 1994, WORK AGING EUROPEAN 30788 SCHULZ R, 1996, AM PSYCHOL, V51, P702 30789 SEIBERT SE, 2001, ACAD MANAGE J, V44, P219 30790 SIMON R, 1996, MONEY, V25, P118 30791 STAJKOVIC AD, 1998, PSYCHOL BULL, V124, P240 30792 STEPHENS GK, 1997, RES PERS HUM RES MAN, V15, P333 30793 STERNS HL, 1986, AGE HLTH EMPLOYMENT 30794 STERNS HL, 1989, TRAINING DEV ORG 30795 STERNS HL, 1995, J VOCAT BEHAV, V47, P248 30796 STERNS HL, 1999, GERONTOLOGY INTERDIS, P355 30797 STERNS HL, 2001, HDB MIDLIFE DEV 30798 STERNS HL, 2002, WORK CAREERS DEV PER, P186 30799 SUPER DE, 1980, J VOCAT BEHAV, V16, P282 30800 TABACHNICK BG, 2001, USING MULTIVARIATE S 30801 TANNENBAUM SI, 1997, HUM RESOURCE MANAGE, V36, P437 30802 TOOSSI M, 2004, MON LABOR REV, V127, P37 30803 WARR P, 1994, HDB IND ORG PSYCHOLO, V4, P487 30804 WECKERLE JR, 1999, J OCCUP ORGAN PSYC 3, V72, P317 30805 WRENN KA, 2004, J APPL SOC PSYCHOL, V34, P223 30806 YEATTS DE, 2000, EDUC GERONTOL, V26, P565 30807 NR 77 30808 TC 0 30809 PU BAYWOOD PUBL CO INC 30810 PI AMITYVILLE 30811 PA 26 AUSTIN AVE, PO BOX 337, AMITYVILLE, NY 11701 USA 30812 SN 0091-4150 30813 J9 INT J AGING HUMAN DEVELOP 30814 JI Int. J. Aging Human Dev. 30815 PY 2007 30816 VL 64 30817 IS 4 30818 BP 331 30819 EP 359 30820 PG 29 30821 SC Gerontology; Psychology, Developmental 30822 GA 192YI 30823 UT ISI:000248239600002 30824 ER 30825 30826 PT J 30827 AU Gao, F 30828 Xiao, G 30829 Zhang, YM 30830 AF Gao, Fei 30831 Xiao, Gang 30832 Zhang, Yuanming 30833 TI Strategy and method of part reengineering 30834 SO INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 30835 LA English 30836 DT Article 30837 DE part reengineering; isostructural parts; similarity degree; fuzzy 30838 clustering 30839 ID GROUP-TECHNOLOGY; PRODUCT; DESIGN; MANAGEMENT; FRAMEWORK; SUPPORT 30840 AB Reducing part redundancy because of design arbitrariness is an 30841 effective measure of improving production volume, of which part 30842 reengineering is a reasonable and effective approach. The problem was 30843 formalized, then similarity degree was measured by Euclidean proximity 30844 through considering similar rules of parts based on properties of 30845 isostructure, geometry, precision, material and performance indices. A 30846 similarity matrix could be constructed based on similarity degree, and 30847 part reengineering arithmetic was advanced based on fuzzy clustering. 30848 Finally, analysis and adjustment of part reengineering scheme was 30849 discussed. The strategy and method are effective in an instance of a 30850 motorcycle-hydraulic-disk brake disk reengineering. 30851 C1 Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310032, Peoples R China. 30852 RP Gao, F, Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310032, 30853 Peoples R China. 30854 EM feig@zjut.edu.cn 30855 CR AHMADI R, 2001, EUR J OPER RES, V130, P539 30856 CHEN YK, 1992, PRACTICAL GROUP TECH 30857 DOWLATSHAHI S, 1998, COMPUT IND ENG, V34, P235 30858 GOONETILLAKE JS, 2002, COMPUT IND, V48, P29 30859 HANSEN CT, 2001, INT J TECHNOL MANAGE, V21, P240 30860 HULL FM, 1996, IEEE T ENG MANAGE, V43, P133 30861 LAU HCW, 2002, J MATER PROCESS TECH, V123, P85 30862 LIAO TW, 2001, FUZZY SET SYST, V122, P425 30863 ODONNELL FJ, 1996, COMPUT IND, V31, P281 30864 PAN SX, 2003, CHINESE J MECH ENG, V39, P1 30865 PAUL G, 1996, ENG DESIGN 30866 QI GN, 2000, CHINA MECH ENG, V11, P525 30867 SARKER BR, 1996, COMPUT IND ENG, V30, P103 30868 SARKER BR, 1999, COMPUT IND ENG, V37, P769 30869 TICHEM M, 1997, COMPUT IND, V33, P155 30870 WANG XZ, 2002, FUZZY CASE STUDY FUZ 30871 XUE D, 1997, COMPUT IND, V34, P139 30872 YUVAL S, 2006, IN PRESS COMP AIDED 30873 NR 18 30874 TC 0 30875 PU SPRINGER LONDON LTD 30876 PI ARTINGTON 30877 PA ASHBOURNE HOUSE, THE GUILDWAY, OLD PORTSMOUTH ROAD, ARTINGTON GU3 1LP, 30878 GUILDFORD, ENGLAND 30879 SN 0268-3768 30880 J9 INT J ADV MANUF TECHNOL 30881 JI Int. J. Adv. Manuf. Technol. 30882 PD SEP 30883 PY 2007 30884 VL 34 30885 IS 3-4 30886 BP 219 30887 EP 226 30888 PG 8 30889 SC Automation & Control Systems; Engineering, Manufacturing 30890 GA 201LP 30891 UT ISI:000248833200002 30892 ER 30893 30894 PT J 30895 AU Wang, XQ 30896 Mujumdar, AS 30897 Yap, C 30898 AF Wang, Xiang-Qi 30899 Mujumdar, Arun S. 30900 Yap, Christopher 30901 TI Effect of orientation for phase change material (PCM)-based heat sinks 30902 for transient thermal management of electric components 30903 SO INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 30904 LA English 30905 DT Article 30906 DE heat sink; phase change material; electronic cooling; orientation 30907 ID TRANSFER ENHANCEMENT 30908 AB Phase change material (PCM)-based heat sink, consisting of a 30909 conventional, extruded aluminum sink embedded with appropriate PCMs, 30910 can potentially be used for cooling of mobile electronic devices such 30911 as personal digital assistants (PDAs) and notebooks which are operated 30912 intermittently. During the use of such mobile devices, the orientation 30913 changes from time to time. A numerical investigation was carried out to 30914 study the effect of orientation of heat sink on the thermal performance 30915 of the combined cooling system to determine if it affects the thermal 30916 performance of a PCM-based cooling system significantly. (C) 2007 30917 Elsevier Ltd. All rights reserved. 30918 C1 Natl Univ Singapore, Dept Mech Engn, Singapore 119260, Singapore. 30919 RP Mujumdar, AS, Natl Univ Singapore, Dept Mech Engn, 10 Kent Ridge 30920 Crescent, Singapore 119260, Singapore. 30921 EM mpeasm@nus.edu.sg 30922 CR AKHILESH R, 2005, INT J HEAT MASS TRAN, V48, P2759 30923 BASS JC, 2004, 20 IEEE SEMI THERM S, P18 30924 BRENT AD, 1988, NUMER HEAT TRANSFER, V13, P297 30925 CASANO G, 2002, INT J HEAT MASS TRAN, V45, P4181 30926 GONG ZX, 1997, APPL THERM ENG, V17, P1067 30927 GONG ZX, 1998, INT J NUMER METHOD H, V8, P393 30928 GONG ZX, 1999, APPL THERM ENG, V19, P1237 30929 HIRT CW, 1981, J COMPUT PHYS, V39, P201 30930 HUMPHRIES WR, 1977, 1074NASA SCI TECHN I 30931 KANDASAMY R, 2006, THESIS NAT U SINGAPO 30932 KANDASAMY R, 2007, APPL THERM ENG, V30, P30 30933 KRISHNAN S, 2004, P ITHERM 02, P310 30934 LATIF M, 2006, APPL THERM ENG, V26, P568 30935 PAL D, 2001, INT J HEAT MASS TRAN, V44, P375 30936 REID RC, 1987, PROPERTIES GASES LIQ 30937 SHATIKIAN V, 2005, INT J HEAT MASS TRAN, V48, P3689 30938 TAN FL, 2004, APPL THERM ENG, V24, P159 30939 VELRAJ R, 1999, SOL ENERGY, V65, P171 30940 WANG XQ, IN PRESS INT J THERM 30941 ZALBA B, 2004, INT J REFRIG, V27, P839 30942 NR 20 30943 TC 0 30944 PU PERGAMON-ELSEVIER SCIENCE LTD 30945 PI OXFORD 30946 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 30947 SN 0735-1933 30948 J9 INT COMMUN HEAT MASS TRANS 30949 JI Int. Commun. Heat Mass Transf. 30950 PD AUG 30951 PY 2007 30952 VL 34 30953 IS 7 30954 BP 801 30955 EP 808 30956 PG 8 30957 SC Thermodynamics; Mechanics 30958 GA 202VZ 30959 UT ISI:000248933500003 30960 ER 30961 30962 PT J 30963 AU Peng, DL 30964 Wang, X 30965 Zhou, AY 30966 AF Peng, Dunlu 30967 Wang, Xiaoling 30968 Zhou, Aoying 30969 TI VsLattice: A vector-based conceptual index structure for web service 30970 retrieval 30971 SO INFORMATION SYSTEMS FRONTIERS 30972 LA English 30973 DT Article 30974 DE Web service; Information retrieval; conceptual index structure; formal 30975 concept analysis; XML web service 30976 AB With the rising adoption of web services, effective management of web 30977 services becomes a critical issue in making the paradigm of 30978 service-oriented computing more practical. In this paper, a novel 30979 structure, called Vector-based service Lattice (VsLattice), is devised 30980 to index web services in a semantic way. Each web service is modeled as 30981 a group of Service Operation Vectors (SOVs) in the vector space, and 30982 each SOV represents an operation provided by the service. The web 30983 services, SOVs and the relationship between web services and SOVs form 30984 the Conceptual Indexing Context (CIC) of a given service collection. In 30985 the CIC, web services that provide similar operations (functions) are 30986 conceptually indexed by the same Operation Vector Concepts (OVCs). The 30987 underlying relationships among the OVCs are captured with the 30988 VsLattice, which is constructed by adopting the traditional concept 30989 lattice in a CIC. By taking advantage of the information obtained from 30990 the VsLattice, a new representation of SOV is devised. Based on this 30991 representation, a novel service retrieval model and the implemental 30992 system are developed to retrieve web services efficiently. The 30993 performance and retrieving quality of the proposed approach has been 30994 evaluated through a series of experiments. 30995 C1 Fudan Univ, Dept Comp Sci & Engn, Shanghai 200433, Peoples R China. 30996 Shanghai Univ Sci & Technol, Sch Elect & Comp Engn, Shanghai 200093, Peoples R China. 30997 RP Wang, X, Fudan Univ, Dept Comp Sci & Engn, Shanghai 200433, Peoples R 30998 China. 30999 EM dlpeng@fudan.edu.cn 31000 ayzhou@fudan.edu.cn 31001 wxling@fudan.edu.cn 31002 CR *WORDN, 2007, WORDN DICT 31003 CARDOSO J, 2002, THESIS U GEORGIA 31004 COALITION DS, 2002, P INT SEM WEB C ISWC 31005 DOAN S, 2005, P IEEE INT C FUZZ SY 31006 DONG X, 2004, P VLDB, P372 31007 GRANTER B, 1999, FORMAL CONCEPT ANAL 31008 HEB A, 2003, P INT SEM WEB C ISWC, P258 31009 JAIN AK, 1998, PRACTICE HALL ADV RE 31010 KING B, 1967, J AM STAT ASSOC, V62, P86 31011 LI L, 2003, P WORLD WID WEB WWW2 31012 LU SY, 1978, IEEE T SYST MAN CYB, V8, P381 31013 MACQUEEN J, 1967, P 5 BERK S MATH STAT, P281 31014 MAGNINI B, 1999, INT J THEORETICAL AP, V5, P203 31015 PAOLUCCI M, 2002, P INT SEM WEB C ISWC 31016 PENG D, 2005, P 10 C DAT SYST ADV, P359 31017 PURTILO JM, 1991, SOFTWARE PRACT EXPER, V21, P539 31018 RICARDO BY, 2003, P WSMAI 2003 31019 SNEATH PHA, 1973, NUMERICAL TAXONOMY 31020 SYCARA K, 1999, P AAAI SPRING S INT 31021 WILLE R, 1982, ORDERED SETS, P445 31022 ZEREMSKI AM, 1995, ACM T SOFTW ENG METH, V4, P146 31023 ZEREMSKI AM, 1997, ACM T SOFTW ENG METH, V6, P333 31024 NR 22 31025 TC 0 31026 PU SPRINGER 31027 PI DORDRECHT 31028 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 31029 SN 1387-3326 31030 J9 INF SYST FRONT 31031 JI Inf. Syst. Front. 31032 PD SEP 31033 PY 2007 31034 VL 9 31035 IS 4 31036 BP 423 31037 EP 437 31038 PG 15 31039 SC Computer Science, Information Systems; Computer Science, Theory & 31040 Methods 31041 GA 201IR 31042 UT ISI:000248825200008 31043 ER 31044 31045 PT J 31046 AU Chen, CK 31047 Hung, YC 31048 Liao, TL 31049 Yan, JJ 31050 AF Chen, Chang-Kuo 31051 Hung, Yung-Ching 31052 Liao, Teh-Lu 31053 Yan, Jun-Juh 31054 TI Design of robust active queue management controllers for a class of TCP 31055 communication networks 31056 SO INFORMATION SCIENCES 31057 LA English 31058 DT Article 31059 DE AQM; TCP; Lyapunov-Krasovskii functional approach; LMI 31060 ID TIME-DELAY SYSTEMS 31061 AB This paper describes the design of active queue management (AQM) 31062 controllers for a class of TCP communication networks. In TCP/IP 31063 networks, the packet-dropping probability function is considered as a 31064 control input. Therefore, a TCP AQM controller was modeled as a 31065 time-delayed system with a saturated input. The objective of the work 31066 described here was to design robust controllers capable of achieving 31067 the desired queue size and guaranteeing asymptotic stability of the 31068 operating point. To achieve this aim, we have proposed two control 31069 strategies, namely a static state feedback controller and an 31070 observer-based controller. By applying the Lyapunov-Krasovskii 31071 functional approach and the linear matrix inequality technique, control 31072 laws and delay-independent stability criteria for the AQM controllers 31073 were derived. The performance of the two control schemes was evaluated 31074 in various network scenarios via a series of numerical simulations. The 31075 simulation results confirm that the proposed schemes outperform other 31076 AQM schemes. (c) 2007 Elsevier Inc. All rights reserved. 31077 C1 Natl Cheng Kung Univ, Dept Engn Sci, Tainan 701, Taiwan. 31078 Shute Univ, Dept Comp & Commun, Kaohsiung 824, Taiwan. 31079 RP Liao, TL, Natl Cheng Kung Univ, Dept Engn Sci, Tainan 701, Taiwan. 31080 EM tlliao@mail.ncku.edu.tw 31081 CR ALSHAMALI SA, 2003, P AM CONTR C DENV CO, P7875 31082 ARTSTEIN Z, 1982, IEEE T AUTOMAT CONTR, V27, P869 31083 ATHURALIYA S, 2001, IEEE NETWORK, V15, P48 31084 CAMPOBELLO G, 2004, INFORM SCIENCES, V158, P173 31085 CAO YY, 2002, IEEE T CIRCUITS-I, V49, P233 31086 CHANG X, 2004, P IEEE 2004 GLOB TEL, P1698 31087 FAN Y, 2004, P 5 WORLD C INT CONT, P1410 31088 FLOYD S, 1993, IEEE ACM T NETWORK, V1, P397 31089 HOLLOT CV, 2001, P IEEE INFOCOM, P1726 31090 HOLLOT CV, 2002, IEEE T AUTOMAT CONTR, V47, P945 31091 JACOBSON V, 1998, P ACM SIGCOMM 88, P314 31092 KELLY FP, 2001, MATH UNLIMITED 2001, P685 31093 KHARITONOV VL, 1999, ANNU REV CONTROL, V23, P185 31094 LIN D, 1997, P ACM SIGCOMM 97 CAN, P127 31095 MISRA V, 2000, P ACM SIGCOMM, P151 31096 NICULESCU SI, 1996, IEEE T AUTOMAT CONTR, V41, P742 31097 QTT TJ, 1999, P IEEE INFOCOM 99 NE, P1346 31098 REN FY, 2005, COMPUT COMMUN, V28, P1050 31099 WANG DJ, 2003, P INT COMM TECHN BEI, P276 31100 WONG YC, 2005, INFORM SCIENCES, V169, P263 31101 YAN P, 2003, P 8 IEEE INT S COMP, P1005 31102 ZHANG H, 2003, P 2003 INT C IM SCI, P277 31103 NR 22 31104 TC 0 31105 PU ELSEVIER SCIENCE INC 31106 PI NEW YORK 31107 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 31108 SN 0020-0255 31109 J9 INFORM SCIENCES 31110 JI Inf. Sci. 31111 PD OCT 1 31112 PY 2007 31113 VL 177 31114 IS 19 31115 BP 4059 31116 EP 4071 31117 PG 13 31118 SC Computer Science, Information Systems 31119 GA 202WY 31120 UT ISI:000248936300009 31121 ER 31122 31123 PT J 31124 AU Chen, YY 31125 Young, KY 31126 AF Chen, Yi-Yuan 31127 Young, Kuu-Young 31128 TI An SOM-based algorithm for optimization with dynamic weight updating 31129 SO INTERNATIONAL JOURNAL OF NEURAL SYSTEMS 31130 LA English 31131 DT Article 31132 DE self-organizing map; optimization; dynamic function; genetic algorithm 31133 ID SELF-ORGANIZING MAP; IDENTIFICATION; VISUALIZATION; WEBSOM 31134 AB The self-organizing map (SOM), as a kind of unsupervised neural 31135 network, has been used for both static data management and dynamic data 31136 analysis. To further exploit its search abilities, in this paper we 31137 propose an SOM-based algorithm (SOMS) for optimization problems 31138 involving both static and dynamic functions. Furthermore, a new SOM 31139 weight updating rule is proposed to enhance the learning efficiency; 31140 this may dynamically adjust the neighborhood function for the SOM in 31141 learning system parameters. As a demonstration, the proposed SOMS is 31142 applied to function optimization and also dynamic trajectory 31143 prediction, and its performance compared with that of the genetic 31144 algorithm (GA) due to the similar ways both methods conduct searches. 31145 C1 Natl Chiao Tung Univ, Vis Res Ctr, Dept Elect & Control Engn, Hsinchu, Taiwan. 31146 RP Young, KY, Natl Chiao Tung Univ, Vis Res Ctr, Dept Elect & Control 31147 Engn, Hsinchu, Taiwan. 31148 EM kyoung@mail.nctu.edu.tw 31149 CR AZCARRAGA AP, 2004, IEEE T KNOWL DATA EN, V16, P380 31150 BARRETO GA, 2004, IEEE T NEURAL NETWOR, V15, P1244 31151 BARTO AG, 1992, HDB INTELLIGENT CONT, P469 31152 CARPENTER GA, 1988, IEEE COMPUT, V21, P77 31153 CHEN YY, 2004, INT J FUZZY SYSTEMS, V6, P90 31154 GOLDBERG DE, 1989, GENETIC ALGORITHMS S 31155 HAGENBUCHNER M, 2004, IEEE IJCNN, P1923 31156 HAYKIN S, 1994, NEURAL NETWORKS COMP 31157 JIN HD, 2003, IEEE T SYST MAN CY B, V33, P877 31158 KANGAS JA, 1990, IEEE T NEURAL NETWOR, V1, P93 31159 KASKI S, 1998, NEUROCOMPUTING, V21, P101 31160 KIM KJ, 2003, IEEE IJCNN, P28 31161 KOHONEN T, 1995, SELF ORG MAP 31162 LAAKSONEN J, 2002, IEEE T NEURAL NETWOR, V13, P841 31163 MILANO M, 2004, IEEE T NEURAL NETWOR, V15, P758 31164 OBERMAYER K, 2001, SELF ORG MAP FORMATI 31165 PRINCIPE JC, 1998, P IEEE, V86, P2240 31166 SBARBARO D, 1995, IEEE, P1774 31167 SHAHHOSSEINI H, 2003, IEEE T SYST MAN CY B, V33, P271 31168 SU MC, 2000, IEEE T NEURAL NETWOR, V11, P721 31169 SU MC, 2004, IEEE IJCNN, P781 31170 WALTER JA, 1993, IEEE T NEURAL NETWOR, V4, P86 31171 WU ST, 2005, IEEE T NEURAL NETWOR, V16, P1362 31172 XU PF, 2005, IEEE T SYST MAN CY B, V35, P515 31173 YIN HJ, 2002, IEEE T NEURAL NETWOR, V13, P237 31174 NR 25 31175 TC 0 31176 PU WORLD SCIENTIFIC PUBL CO PTE LTD 31177 PI SINGAPORE 31178 PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE 31179 SN 0129-0657 31180 J9 INT J NEURAL SYST 31181 JI Int. J. Neural Syst. 31182 PD JUN 31183 PY 2007 31184 VL 17 31185 IS 3 31186 BP 171 31187 EP 181 31188 PG 11 31189 SC Computer Science, Artificial Intelligence 31190 GA 192ZF 31191 UT ISI:000248242000004 31192 ER 31193 31194 PT J 31195 AU Haines, RJ 31196 Clemo, GR 31197 Munro, ATD 31198 AF Haines, R. J. 31199 Clemo, G. R. 31200 Munro, A. T. D. 31201 TI Petri-nets for formal verification of MAC protocols 31202 SO IET SOFTWARE 31203 LA English 31204 DT Article 31205 ID WIRELESS LANS; IEEE-802.11 31206 AB Full or partial reconfiguration of communications devices offers both 31207 optimised performance for niche scenario-specific deployments and 31208 support for de-regulated radio spectrum management. The correctness of 31209 the protocols or protocol-enhancements being deployed in such a dynamic 31210 and autonomous manner cannot easily be determined through traditional 31211 testing techniques. Formal description techniques are a key 31212 verification technique for protocols. The Petri-net formal description 31213 technique offers the best combination of intuitive representation, 31214 toolsupport and analytical capabilities. Having described key features 31215 and analytical approaches of Reference-nets (an extended Petri-net 31216 formalism), a case study is presented applying this approach to a 31217 contemporary research area: IEEE 802.11 centralised control mechanisms 31218 to support delay-sensitive streams and bursty data traffic. This case 31219 study showcases the ability both to generate performance-oriented 31220 simulation results and to determine more formal correctness properties. 31221 The simulation results allow comparison with published results and show 31222 that a packet-expiration mechanism places greater demands on the 31223 contention-free resource allocation, while the mathematical analysis of 31224 the model reveals it to be free of deadlock and k-bounded with respect 31225 to resources. The work demonstrates the potential that the Petri-net 31226 formal method has for analysing process and protocol models to support 31227 reconfigurable devices. 31228 C1 Univ Bristol, Commun Res Ctr, Bristol BS8 1UB, Avon, England. 31229 Toshiba Res Europe Ltd, Telecommun Res Lab, Bristol BS1 4ND, Avon, England. 31230 RP Haines, RJ, Univ Bristol, Commun Res Ctr, Bristol BS8 1UB, Avon, 31231 England. 31232 EM russell.haines@toshiba-trel.com 31233 CR *ETSI, 2000, METH TEST SPEC MTS T 31234 *IEEE, 2003, 80211TM1999 IEEE 31235 *IEEE, 2005, 80211E IEEE 11 31236 *OFCOM, 2005, TECHN RES PROGR RES 31237 BAUSE F, 2002, STOCHASTIC PETRI NET 31238 BERTHELOT G, 1982, IEEE T COMMUN, V30, P2497 31239 CABRIC D, 2004, 38 AS C SIGN SYST CO, P772 31240 CHAUDET C, 2005, IEEE COMMUN MAG, V43, P110 31241 COURTIAT JP, 1984, P ACM SIGCOMM S COMM, P66 31242 DINGLE NJ, 2001, PRODUCTION EXTENSIBL 31243 DONATELLI S, 1995, P 6 INT WORKSH PETR, P158 31244 HAINES RJ, 2006, IEEE 63 VEH TECHN C, P1171 31245 HAINES RJ, 2006, IEEE 64 VEH TECHN C 31246 HAINES RJ, 2006, NONLINEAR OPTIMIZATI, P1211 31247 HEINDL A, 2001, PERFORM EVALUATION, V44, P139 31248 JENSEN K, 1997, COLOURED PETRI NETS 31249 KUMMER O, 2001, SOZIONIK AKTUELL, V1, P1 31250 KUMMER O, 2004, RENEW USER GUIDE 31251 LI C, 2004, 15 IEEE INT S PERS I, V3, P1922 31252 LI C, 2004, ELECTRON LETT, V40, P1596 31253 LI C, 2004, P 18 C ADV INF NETW, V2, P343 31254 MARSAN MA, 1987, LECT NOTES COMPUT SC, V266, P132 31255 MOLLOY MK, 1989, 3 INT WORKSH PETR NE, P2 31256 MURATA T, 1989, P IEEE, V77, P541 31257 PETRI CA, 1962, RADCTR65377 U BON S1, V1 31258 SIDHU D, 1991, ACM SIGCOMM COMPUTER, V21, P81 31259 SLOANE EB, 2005, 27 ANN INT C ENG MED, P162 31260 VALK R, 1998, LECT NOTES COMP SCI, P1 31261 VONBOCHMANN G, 1980, IEEE T COMMUN, V28, P624 31262 XIAO Y, 2005, IEEE T WIREL COMMUN, V4, P1506 31263 NR 30 31264 TC 0 31265 PU INST ENGINEERING TECHNOLOGY-IET 31266 PI HERTFORD 31267 PA MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND 31268 SN 1751-8806 31269 J9 IET SOFTW 31270 JI IET Softw. 31271 PD APR 31272 PY 2007 31273 VL 1 31274 IS 2 31275 BP 39 31276 EP 47 31277 PG 9 31278 GA 199RG 31279 UT ISI:000248712300001 31280 ER 31281 31282 PT J 31283 AU Miranda, SLC 31284 Baker, CJ 31285 Woodbridge, K 31286 Griffiths, HD 31287 AF Miranda, S. L. C. 31288 Baker, C. J. 31289 Woodbridge, K. 31290 Griffiths, H. D. 31291 TI Fuzzy logic approach for prioritisation of radar tasks and sectors of 31292 surveillance in multifunction radar 31293 SO IET RADAR SONAR AND NAVIGATION 31294 LA English 31295 DT Article 31296 ID SYSTEM 31297 AB The effective allocation of radar resources is essential if 31298 multifunction radars are to realise their full potential. In the most 31299 stressing conditions, there will be insufficient resources to carry out 31300 all the desired radar functions. Therefore the ranking of radar tasks 31301 is an important sub-problem for radar resource management, particularly 31302 as resource allocation is likely to be based on the relative importance 31303 of radar tasks. The development of an adaptive prioritisation 31304 assignment, fuzzy-reasoning-based algorithm used for ranking targets 31305 and sectors of surveillance in dynamically changing tactical 31306 environments has been addressed. The performance of this approach is 31307 compared with that of other prioritisation methods based on more 31308 conventional `hard decision logic' and simple fixed prioritisation. 31309 C1 Univ Coll London, Dept Elect & Elect Engn, London WC1E 7JE, England. 31310 Cranfield Univ, Def Coll Management & Technol, Swindon SN6 8LA, Wilts, England. 31311 RP Baker, CJ, Univ Coll London, Dept Elect & Elect Engn, Torrington Pl, 31312 London WC1E 7JE, England. 31313 EM c.baker@ee.ucl.ac.uk 31314 CR BILLAM ER, 1992, IEE C PUBL, V365, P34 31315 BOJADZIEV G, 1995, FUZZY SETS FUZZY LOG 31316 BUTLER JM, 1998, THESIS U COLLEGE LON 31317 IZQUIERDOFUENTE A, 1994, IEEE INT C NEUR NETW 31318 KOMORNICZAK W, 2000, 13 INT C MICR RAD WI 31319 KOMORNICZAK W, 2002, 14 INT C MICR RAD WI 31320 LOPEZ JMM, 1998, 37 IEEE C DEC CONTR 31321 MIRANDA SLC, 2004, P 2004 IEEE RAD C PH, P79 31322 MIRANDA SLC, 2004, RADAR CONF, P79 31323 ORMAN AJ, 1996, EUR J OPER RES, V90, P13 31324 ORMAN AJ, 1998, COMPUT OPER RES, V25, P239 31325 SABATINI S, 1994, MULTIFUNCTION ARRAY 31326 STOFFEL AP, 1994, 1994 IEEE NAT TEL C 31327 STROMBERG D, 1996, IEEE INT S PHAS ARR 31328 VINE MT, 2001, IEE C MULT RAD SON S 31329 NR 15 31330 TC 0 31331 PU INST ENGINEERING TECHNOLOGY-IET 31332 PI HERTFORD 31333 PA MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND 31334 SN 1751-8784 31335 J9 IET RADAR SONAR NAVIG 31336 JI IET Radar Sonar Navig. 31337 PD APR 31338 PY 2007 31339 VL 1 31340 IS 2 31341 BP 131 31342 EP 141 31343 PG 11 31344 GA 199QV 31345 UT ISI:000248711200006 31346 ER 31347 31348 PT J 31349 AU Zhao, JH 31350 Dong, ZY 31351 Li, X 31352 AF Zhao, J. H. 31353 Dong, Z. Y. 31354 Li, X. 31355 TI Electricity market price spike forecasting and decision making 31356 SO IET GENERATION TRANSMISSION & DISTRIBUTION 31357 LA English 31358 DT Article 31359 ID ARIMA MODELS 31360 AB Forecasting price spikes is a timely issue for the deregulated 31361 electricity market. Traditional price forecasting techniques show poor 31362 performance in handling price spikes, which usually follow a pattern 31363 different from the prices under normal market conditions. Therefore, 31364 novel approaches are required to forecast both the occurrences and 31365 values of spikes. In this paper a comprehensive study is conducted to 31366 investigate the performance of several data mining techniques for spike 31367 forecasting. Another major contribution of this paper is that a novel 31368 approach is proposed to integrate the spike forecasting process with 31369 decision-making, and to provide a comprehensive risk management tool 31370 against spikes. This approach is based on the Naive Bayesian 31371 Classifier. The benefits/costs of possible decisions are considered in 31372 the spike forecasting process to achieve the maximum benefits from the 31373 decisions against price spikes. We give a comprehensive theoretical 31374 proof of the proposed Bayesian classifier with benefit maximisation 31375 (BCBM) approach, which empirically demonstrates its effectiveness by 31376 achieving promising experiment results on real market price datasets. 31377 C1 Univ Queensland, Sch Informat Technol & Engn, Brisbane, Qld 4072, Australia. 31378 RP Zhao, JH, Univ Queensland, Sch Informat Technol & Engn, Brisbane, Qld 31379 4072, Australia. 31380 EM zydong@ieee.org 31381 CR *LTD JOHN FIELD CO, 2003, CHAR POOL PRIC VOLT 31382 BORENSTEIN S, ELECT RESTRUCTURING 31383 BORENSTEIN S, UNDERSTANDING COMPET 31384 BUSHNELL J, REGULATION LEVERAGE 31385 CONEJO AJ, 2005, IEEE T POWER SYST, V20, P1035 31386 CONTRERAS J, 2003, IEEE T POWER SYST, V18, P1014 31387 GARCIA RC, 2005, IEEE T POWER SYST, V20, P867 31388 GUAN XH, 2001, IEEE T POWER SYST, V16, P402 31389 GUO JH, 2003, IEEE T POWER SYST, V18, P665 31390 HAN JW, 2001, DATA MINING CONCEPTS 31391 HSU CN, 2003, MACH LEARN, V53, P235 31392 LEWIS DD, 1998, P ECML 98 10 EUR C M, P4 31393 LITTLESTONE N, 1988, MACH LEARN, V2, P285 31394 LU X, 2005, ELECTR POW SYST RES, V73, P19 31395 MOUNT T, 1999, P 34 HAW INT C SYST 31396 MOUNT T, 2004, P 37 ANN HAW INT C S 31397 NIIMURA T, 2001, IEEE T SYST MAN CY C, V31, P320 31398 NOGALES FJ, 2002, IEEE T POWER SYST, V17, P342 31399 NOGALES FJ, 2006, J OPER RES SOC, V57, P350 31400 QUINLAN TR, 1996, J ARTIF INTELL, V4, P77 31401 TAMHANE AC, 2000, STAT DATA ANAL ELEME 31402 VAPNIK V, 1995, NATURE STAT LEARNING 31403 WILKS SS, 1962, MATH STAT 31404 XU Z, 2003, P 3 INT DCDIS C ENG, P15 31405 ZHAO J, 2005, POW ENG SOC GEN M 20, P563 31406 NR 25 31407 TC 0 31408 PU INST ENGINEERING TECHNOLOGY-IET 31409 PI HERTFORD 31410 PA MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND 31411 SN 1751-8687 31412 J9 IET GENER TRANSM DISTRIB 31413 JI IET Gener. Transm. Distrib. 31414 PD JUL 31415 PY 2007 31416 VL 1 31417 IS 4 31418 BP 647 31419 EP 654 31420 PG 8 31421 SC Engineering, Electrical & Electronic 31422 GA 195NW 31423 UT ISI:000248419900015 31424 ER 31425 31426 PT J 31427 AU Finco, S 31428 Melo, W 31429 Castaldo, F 31430 Pomilio, J 31431 Borges, BV 31432 Santos, P 31433 AF Finco, Saulo 31434 Melo, Wellington 31435 Castaldo, Fernando 31436 Pomilio, Jose 31437 Borges, Beatriz Vieira 31438 Santos, Pedro 31439 TI A smart power integrated circuit educational tool 31440 SO IEEE TRANSACTIONS ON POWER ELECTRONICS 31441 LA English 31442 DT Article 31443 DE CMOS technology; education; integrated switching converters; smart 31444 power integrated circuit 31445 ID TOP-DOWN DESIGN; ELECTRONICS EDUCATION; SYSTEM 31446 AB This paper describes a course in Smart Power based on the introduction 31447 of an innovative educational tool-a preprocessed Smart Power integrated 31448 circuit. The methodology used to introduce students to the issue of 31449 Smart Power design, resorting to low cost standard CMOS technology is 31450 presented. The theoretical support is envisaged to provide the required 31451 knowledge to specify characteristics and performance of the most common 31452 blocks used in Smart Power and to develop skills for monolithic 31453 integration. Through design, simulation, and experimental 31454 characterization, the students were able to experience the different 31455 steps of a Smart Power project, from the power device basic switching 31456 cell mask layout to the final system prototype, in 60 hours of a one 31457 semester course. The referred Smart Power Integrated Circuit (IC) 31458 embedding analog and digital basic blocks and high-voltage transistor 31459 arrays is the key idea to the presented pedagogical methodology. Based 31460 on this Smart Power IC, different topologies required by power 31461 electronics and power management systems were implemented. A complete 31462 system illustrative example-a step-down hard-switching dc-de regulator 31463 (buck regulator)-implemented by the students is shown and discussed. 31464 C1 Univ Estadual Londrina, Dept Engn Eletr, BR-86051990 Parana, Brazil. 31465 Univ Estadual Campinas, BR-13083852 Campinas, Brazil. 31466 Inst Telecommun, P-1049001 Lisbon, Portugal. 31467 Univ Tecn Lisbon, Inst Super Tecn, P-1049001 Lisbon, Portugal. 31468 EM saulo.finco@cenpra.gov.br 31469 castaldo@uel.br 31470 antenor@dsce.fee.unicamp.br 31471 bborges@lx.it.pt 31472 pedro.santos@lx.it.pt 31473 CR BALLAN H, 1999, HIGH VOLTAGE DEVICES 31474 BLAABJERG F, 2005, IEEE T POWER ELECTR, V20, P715 31475 CHEN T, 1993, IEEE T EDUC, V36, P137 31476 CONTIERO C, 1998, P ISPSD, P11 31477 CONTIERO C, 2004, P INT S POW SEM DEV, P3 31478 DALFABBRO PA, 2001, P 6 BRAZ POW EL C CO, P287 31479 FINCO S, 2000, THESIS U ESTADUAL CA 31480 FINCO S, 2001, P 6 C BRAS EL POT CO, P786 31481 FRANCA JE, 1994, IEEE T EDUC, V37, P351 31482 GANDER RE, 1994, IEEE T EDUC, V37, P30 31483 MCSHANE EA, 2001, IEEE T EDUC, V44, P282 31484 MURARI B, 1995, SMART POWER IC TECHN 31485 MURARI B, 2000, P C REC IEEE IND APP, P10 31486 PALUMBO G, 2002, IEEE T CIRCUITS-I, V49, P1535 31487 SANTOS PM, 2001, IEEE T ELECTRON DEV, V48, P1013 31488 SANTOS PM, 2002, MICROELECTR J, V33, P609 31489 SANTOS PM, 2004, MICROELECTRON J, V35, P723 31490 SICARD E, 1992, IEEE T EDUC, V35, P311 31491 SMITH M, 1989, IEEE T EDUC, V32, P210 31492 TRIVEDI M, 2002, IEEE T EDUC, V45, P57 31493 WILLIAMS RW, 1991, IEEE T EDUC, V34, P47 31494 NR 21 31495 TC 0 31496 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 31497 PI PISCATAWAY 31498 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 31499 SN 0885-8993 31500 J9 IEEE TRANS POWER ELECT 31501 JI IEEE Trans. Power Electron. 31502 PD JUL 31503 PY 2007 31504 VL 22 31505 IS 4 31506 BP 1290 31507 EP 1302 31508 PG 13 31509 SC Engineering, Electrical & Electronic 31510 GA 189IW 31511 UT ISI:000247983600022 31512 ER 31513 31514 PT J 31515 AU Atreya, R 31516 Mittal, N 31517 Peri, S 31518 AF Atreya, Ranganath 31519 Mittal, Neeraj 31520 Peri, Sathya 31521 CA IEEE Computer Soc 31522 TI Quorum-based group mutual exclusion algorithm for a distributed system 31523 with dynamic group set 31524 SO IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 31525 LA English 31526 DT Article 31527 DE message-passing system; resource management; mutual exclusion; group 31528 mutual exclusion; quorum-based algorithm 31529 ID COMPUTER-NETWORKS 31530 AB The group mutual exclusion problem extends the traditional mutual 31531 exclusion problem by associating a type ( or a group) with each 31532 critical section. In this problem, processes requesting critical 31533 sections of the same type can execute their critical sections 31534 concurrently. However, processes requesting critical sections of 31535 different types must execute their critical sections in a mutually 31536 exclusive manner. We present a distributed algorithm for solving the 31537 group mutual exclusion problem based on the notion of surrogate-quorum. 31538 Intuitively, our algorithm uses the quorum that has been successfully 31539 locked by a request as a surrogate to service other compatible requests 31540 for the same type of critical section. Unlike the existing quorum-based 31541 algorithms for group mutual exclusion, our algorithm achieves a low 31542 message complexity of O(q) and a low ( amortized) bit-message 31543 complexity of O(bqr), where q is the maximum size of a quorum, b is the 31544 maximum number of processes from which a node can receive critical 31545 section requests, and r is the maximum size of a request while 31546 maintaining both synchronization delay and waiting time at two message 31547 hops. As opposed to some existing quorum-based algorithms, our 31548 algorithm can adapt without performance penalties to dynamic changes in 31549 the set of groups. Our simulation results indicate that our algorithm 31550 outperforms the existing quorum-based algorithms for group mutual 31551 exclusion by as much as 45 percent in some cases. We also discuss how 31552 our algorithm can be extended to satisfy certain desirable properties 31553 such as concurrent entry and unnecessary blocking freedom. 31554 C1 Univ Texas, Dept Comp Sci, Richardson, TX 75083 USA. 31555 RP Atreya, R, Univ Texas, Dept Comp Sci, Richardson, TX 75083 USA. 31556 EM ratreya@amazon.com 31557 neerajm@utdallas.edu 31558 sathya.p@student.utdallas.edu 31559 CR ATREYA R, 2005, P IEEE INT C DISTR C, P251 31560 BEAUQUIER J, 2003, J INF SCI ENG, V19, P415 31561 CANTARELL S, 2005, COMPUT J, V48, P239 31562 CHANDY KM, 1984, ACM T PROGR LANG SYS, V6, P632 31563 CHANDY KM, 1988, PARALLEL PROGRAM DES 31564 DIJKSTRA EW, 1965, COMMUN ACM, V8, P569 31565 DIJKSTRA EW, 1971, ACTA INFORM, V1, P115 31566 FISCHER MJ, 1979, P 20 ANN S FDN COMP, P234 31567 HADZILACOS V, 2001, P 20 ACM S PRINC DIS 31568 JOUNG YJ, 2000, DISTRIB COMPUT, V13, P189 31569 JOUNG YJ, 2002, DISTRIB COMPUT, V15, P155 31570 JOUNG YJ, 2003, IEEE T PARALL DISTR, V14, P463 31571 KEANE P, 1999, P 18 ANN ACM S PRINC, P23 31572 LAMPORT L, 1978, COMMUN ACM, V21, P558 31573 MAEKAWA M, 1985, ACM T COMPUT SYST, V3, P145 31574 MANABE Y, 2004, P INT C PAR DISTR SY, P341 31575 MATTERN F, 1989, INFORM PROCESS LETT, V30, P195 31576 RAYMOND K, 1989, ACM T COMPUT SYST, V7, P61 31577 RICART G, 1981, COMMUN ACM, V24, P9 31578 SUZUKI I, 1985, ACM T COMPUT SYST, V3, P344 31579 TOYOMURA M, 2003, P 4 INT C PAR DISTR, P742 31580 VIDYASANKAR K, 2002, P 12 ANN ACM S PRINC, P130 31581 VIDYASANKAR K, 2003, INFORM PROCESS LETT, V85, P79 31582 WU KP, 2000, IEE P-COMPUT DIG T, V147, P1 31583 NR 24 31584 TC 0 31585 PU IEEE COMPUTER SOC 31586 PI LOS ALAMITOS 31587 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 31588 SN 1045-9219 31589 J9 IEEE TRANS PARALL DISTRIB SYS 31590 JI IEEE Trans. Parallel Distrib. Syst. 31591 PD OCT 31592 PY 2007 31593 VL 18 31594 IS 10 31595 BP 1345 31596 EP 1360 31597 PG 16 31598 SC Computer Science, Theory & Methods; Engineering, Electrical & Electronic 31599 GA 202ZL 31600 UT ISI:000248943800001 31601 ER 31602 31603 PT J 31604 AU Laoutaris, N 31605 Smaragdakis, G 31606 Bestavros, A 31607 Matta, I 31608 Stavrakakis, I 31609 AF Laoutaris, Nikolaos 31610 Smaragdakis, Georgios 31611 Bestavros, Azer 31612 Matta, Ibrahim 31613 Stavrakakis, Ioannis 31614 TI Distributed selfish caching 31615 SO IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 31616 LA English 31617 DT Article 31618 DE selfish caching; cooperative caching; overlay networks; peer-to-peer 31619 networks; content distribution networks 31620 ID CONTENT DELIVERY; WEB; REPLICATION; ALLOCATION 31621 AB Although cooperation generally increases the amount of resources 31622 available to a community of nodes, thus improving individual and 31623 collective performance, it also allows for the appearance of potential 31624 mistreatment problems through the exposition of one node's resources to 31625 others. We study such concerns by considering a group of independent, 31626 rational, self-aware nodes that cooperate using online caching 31627 algorithms, where the exposed resource is the storage at each node. 31628 Motivated by content networking applications - including Web caching, 31629 content delivery networks ( CDNs), and peer-to-peer ( P2P) - this paper 31630 extends our previous work on the offline version of the problem, which 31631 was conducted under a game-theoretic framework and limited to object 31632 replication. We identify and investigate two causes of mistreatment: 1) 31633 cache state interactions ( due to the cooperative servicing of 31634 requests) and 2) the adoption of a common scheme for cache management 31635 policies. Using analytic models, numerical solutions of these models, 31636 and simulation experiments, we show that online cooperation schemes 31637 using caching are fairly robust to mistreatment caused by state 31638 interactions. To appear in a substantial manner, the interaction 31639 through the exchange of miss streams has to be very intense, making it 31640 feasible for the mistreated nodes to detect and react to exploitation. 31641 This robustness ceases to exist when nodes fetch and store objects in 31642 response to remote requests, that is, when they operate as Level-2 31643 caches ( or proxies) for other nodes. Regarding mistreatment due to a 31644 common scheme, we show that this can easily take place when the 31645 "outlier" characteristics of some of the nodes get overlooked. This 31646 finding underscores the importance of allowing cooperative caching 31647 nodes the flexibility of choosing from a diverse set of schemes to fit 31648 the peculiarities of individual nodes. To that end, we outline an 31649 emulation-based framework for the development of mistreatment-resilient 31650 distributed selfish caching schemes. 31651 C1 Harvard Univ, Cambridge, MA 02138 USA. 31652 Boston Univ, Dept Comp Sci, Boston, MA 02215 USA. 31653 Univ Athens, Dept Informat & Telecommunicat, Athens 15784, Greece. 31654 RP Laoutaris, N, Harvard Univ, Maxwell Dorkin 207,33 St, Cambridge, MA 31655 02138 USA. 31656 EM nlaout@eecs.harvard.edu 31657 gsmaragd@cs.bu.edu 31658 best@cs.bu.edu 31659 matta@cs.bu.edu 31660 istavrak@di.uoa.gr 31661 CR ARLITT MF, 1996, P ACM SIGMETRICS 96, P126 31662 BRESLAU L, 1999, P INFOCOM 99 MAR 31663 BYERS JW, 2004, IEEE ACM T NETWORK, V12, P767 31664 CHUN BG, 2004, P ACM S PRINC DISTR 31665 COFFMAN EG, 1973, OPERATING SYSTEMS TH 31666 COHEN E, 2002, P ACM SIGCOMM 02 AUG 31667 DAN A, 1990, P 1990 ACM SIGMETRIC, P143 31668 ERCETIN C, 2003, IEEE T COMPUT, V52, P1573 31669 FAN L, 2000, IEEE ACM T NETWORK, V8, P281 31670 GUIRGUIS M, 2004, P 12 IEEE INT C NETW 31671 JIN S, 2000, P 8 IEEE ACM INT S M 31672 KANGASHARJU J, 2002, OPTIMAL CONTENT REPL 31673 LANDRY R, 1993, IEEE ACM T NETWORK, V1, P576 31674 LAOUTARIS N, 2005, COMPUT NETW, V47, P409 31675 LAOUTARIS N, 2006, BUCSTR2006003 BOST U 31676 LAOUTARIS N, 2006, IEEE T PARALL DISTR, V17, P1401 31677 LAOUTARIS N, 2006, P INFOCOM 06 APR 31678 LAOUTARIS N, 2006, PERFORM EVALUATION, V63, P609 31679 LEFF A, 1993, IEEE T PARALL DISTR, V4, P1185 31680 LIN G, 2004, P INFOCOM 04 31681 LOUKOPOULOS T, 2005, P 19 ACM INT C SUP I 31682 MAHANTI A, 2000, IEEE NETWORK, V14, P16 31683 MARINA A, 2001, P INT WORKSH WIR NET 31684 PAN J, 2003, COMPUTER NETWORKS, V43 31685 PODLIPNIG S, 2003, ACM COMPUT SURV, V35, P374 31686 PSOUNIS K, 2004, COMPUTER NETWORKS, V45 31687 ROSS KW, 1997, IEEE NETWORK, V11 31688 SMARAGDAKIS G, 2006, BUCSTR200623 BOST U 31689 TANG XY, 2004, J PARALLEL DISTR COM, V64, P1168 31690 WESSELS D, 2007, ICP SQUID WEB CACHE 31691 WOLMAN A, 1999, ACM SIGOPS OPERATING, V33, P16 31692 YIN L, 2004, P INFOCOM 04 31693 NR 32 31694 TC 0 31695 PU IEEE COMPUTER SOC 31696 PI LOS ALAMITOS 31697 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 31698 SN 1045-9219 31699 J9 IEEE TRANS PARALL DISTRIB SYS 31700 JI IEEE Trans. Parallel Distrib. Syst. 31701 PD OCT 31702 PY 2007 31703 VL 18 31704 IS 10 31705 BP 1361 31706 EP 1376 31707 PG 16 31708 SC Computer Science, Theory & Methods; Engineering, Electrical & Electronic 31709 GA 202ZL 31710 UT ISI:000248943800002 31711 ER 31712 31713 PT J 31714 AU Lee, M 31715 Kim, EJ 31716 AF Lee, Manhee 31717 Kim, Eun Jung 31718 CA IEEE Computer Soc 31719 TI A comprehensive framework for enhancing security in InfiniBand 31720 Architecture 31721 SO IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 31722 LA English 31723 DT Article 31724 DE cluster security; InfiniBand Architecture; Galois/Counter mode; 31725 authentication; encryption; availability; DoS 31726 AB The InfiniBand Architecture ( IBA) is a promising communication 31727 standard for building clusters and system area networks. However, the 31728 IBA specification has left out security aspects, resulting in potential 31729 security vulnerabilities, which could be exploited with moderate 31730 effort. In this paper, we view these vulnerabilities from three 31731 classical security aspects - confidentiality, authentication, and 31732 availability - and investigate the following security issues. First, as 31733 groundwork for secure services in IBA, we present partition-level and 31734 queue-pair-level key management schemes, both of which can be easily 31735 integrated into IBA. Second, for confidentiality and authentication, we 31736 present a method to incorporate a scalable encryption and 31737 authentication algorithm into IBA, with little performance overhead. 31738 Third, for better availability, we propose a stateful ingress filtering 31739 mechanism to block denial-of-service ( DoS) attacks. Finally, to 31740 further improve the availability, we provide a scalable packet marking 31741 method tracing back DoS attacks. Simulation results of an IBA network 31742 show that the security performance overhead due to 31743 encryption/authentication on network latency ranges from 0.7 percent to 31744 12.4 percent. Since the stateful ingress filtering is enabled only when 31745 a DoS attack is active, there is no performance overhead in a normal 31746 situation. 31747 C1 Texas A&M Univ, Dwight Look Coll Engn, Dept Comp Sci, College Stn, TX 77843 USA. 31748 RP Lee, M, Texas A&M Univ, Dwight Look Coll Engn, Dept Comp Sci, HR Bright 31749 Bldg,Room 427D,College Stn, College Stn, TX 77843 USA. 31750 EM manhee@cs.tamu.edu 31751 ajkim@cs.tamu.edu 31752 CR 1994, 1401 FIPS NIST 31753 2005, HPC WIRE 31754 *COMM NATL SEC SYS, 2006, NAT INF ASS GLOSS 31755 *INFINIBAND TRAD A, 2002, INFINIBAND ARCHITECT, V1 31756 ALJIFRI H, 2003, IEEE SECUR PRIV, V1, P24 31757 BODEN NJ, 1995, IEEE MICRO, V15, P29 31758 CHESWICK WR, 2003, FIREWALLS INTERNET S 31759 CONNELLY K, 1960, P WORKSH NEW SEC PAR, P36 31760 DENNING DE, 1981, COMMUN ACM, V24, P533 31761 DIMITROV R, 1998, P 21 NAT INF SYST SE, P457 31762 DYER J, 1999, P 22 NATL INF SYST S 31763 FELLER W, 1968, INTRO PROBABILITY TH, V1 31764 FOSTER I, 1998, CLUSTER COMPUTING, V1, P95 31765 GEER D, 2004, COMPUTER, V37, P14 31766 HELLEKALEK P, 2003, ACM T MODELING COMPU, V13, P322 31767 HODJAT A, 2004, P IEEE COMP SOC ANN, P83 31768 KIM EJ, 2003, P 9 INT S HIGH PERF, P253 31769 LEE JY, 2005, CURR OPIN LIPIDOL, V16, P19 31770 LEE M, 2006, P 2 INT WORKSH CLUST, P25 31771 LIPMAA H, 2003, P NIST WORKSH SYMM K 31772 MCGREW D, 2003, FLEXIBLE EFFICIENT M 31773 MCGREW D, 2004, GALOIS COUNTER MODE 31774 POURZANDI M, 2004, P USENIX 2004 ANN TE, P231 31775 SAVAGE S, 2000, P 2000 ACM SIGCOMM C, P295 31776 SCHNEIER B, 1995, APPL CRYPTOGRAPHY PR 31777 SONG DX, 2001, P INFOCOM, V2, P878 31778 WILTON SJE, 1996, IEEE J SOLID-ST CIRC, V31, P677 31779 WOOL A, 2004, COMPUTER, V37, P62 31780 YAAR A, 2003, P IEEE S SECUR PRIV, P93 31781 YURCIK W, 2004, P 8 LCI INT C HIGH P 31782 ZHANG Y, 2005, P 11 INT S HIGH PERF 31783 NR 31 31784 TC 0 31785 PU IEEE COMPUTER SOC 31786 PI LOS ALAMITOS 31787 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 31788 SN 1045-9219 31789 J9 IEEE TRANS PARALL DISTRIB SYS 31790 JI IEEE Trans. Parallel Distrib. Syst. 31791 PD OCT 31792 PY 2007 31793 VL 18 31794 IS 10 31795 BP 1393 31796 EP 1406 31797 PG 14 31798 SC Computer Science, Theory & Methods; Engineering, Electrical & Electronic 31799 GA 202ZL 31800 UT ISI:000248943800004 31801 ER 31802 31803 PT J 31804 AU Baccarelli, E 31805 Biagi, M 31806 Cordeschi, N 31807 Pelizzoni, C 31808 AF Baccarelli, Enzo 31809 Biagi, Mauro 31810 Cordeschi, Nicola 31811 Pelizzoni, Cristian 31812 TI Minimization of download times for large files over wireless channels 31813 SO IEEE TRANSACTIONS ON MOBILE COMPUTING 31814 LA English 31815 DT Article 31816 DE minimum download time; elastic traffic; energy-scheduling policies; 31817 CDNs; multiantenna downlink channels; convex Calculus of Variations 31818 ID VIDEO 31819 AB The emerging proxy-based wireless Content Delivery Networks (CDNs) 31820 should to be designed to download huge-size files over fading-affected 31821 channels. However, from a radio resource management point of view, 31822 several basic problems still need to be solved for such wireless 31823 delivery systems to operate efficiently. Specifically, due to the 31824 fading nature of the downlink channel, a still open basic problem is 31825 how to design optimal energy-allocation ( for example, scheduling) 31826 policies that minimize the requested download time when constraints on 31827 the total available energy and peak energy are simultaneously active. 31828 In this contribution, this problem is solved for application scenarios 31829 where the downlink channel is slotted and continuous-state, the carried 31830 out traffic is elastic, and the resulting conveyed throughput is 31831 measured by any desired increasing concave rate function. Specifically, 31832 the optimal energy-allocation policy minimizing the download time is 31833 computed in closed form, and its performance is compared against that 31834 of a basic On-Off heuristic energy scheduler on some Rayleigh-faded 31835 Multiantenna delivery systems of practical interest. The carried out 31836 performance comparisons point out that the presented optimal policy 31837 typically may outperform the heuristic one up to two orders of 31838 magnitude, especially when the delivery system is strongly energy 31839 limited. 31840 C1 Univ Roma La Sapienza, Dept Info Com, I-00184 Rome, Italy. 31841 RP Baccarelli, E, Univ Roma La Sapienza, Dept Info Com, Via Eudossiana 18, 31842 I-00184 Rome, Italy. 31843 EM enzobac@infocom.uniroma1.it 31844 mauro.biagi@uniroma1.it 31845 cordeschi@infocom.uniroma1.it 31846 pelcris@infocom.uniroma1.it 31847 CR AKSOY D, 1998, P IEEE INFOCOM, V2, P651 31848 BACCARELLI E, 2005, OPTIMIZED DOWNLOAD L 31849 BAKIRAS S, 2005, P 19 INT PAR DISTR P 31850 BALACRISHNAN AV, 1981, APPL FUNCTIONAL ANAL 31851 BENDER P, 2000, IEEE COMMUN MAG, V38, P70 31852 BINGHAM JAC, 2002, ADSL VDSL MULTICARRI 31853 BOYD S, 2004, CONVEX OPTIMIZATION 31854 EKELAND I, 1976, SIAM 31855 FU A, 2003, THESIS MASSACHUSETTS 31856 GITZENIS S, 2002, P INFOCOM, V3, P1405 31857 IMIELINSKI T, 1994, P 1994 ACM SIGMOD IN, P25 31858 JIANG S, 1999, P ACM INT WORKSH DAT, P52 31859 KUMAR A, 2004, COMMUNICATION NETWOR 31860 LEBOUDEC JY, 2001, NETWORK CALCULUS 31861 PAHLAVAN K, 2002, PRINCIPLES WIRELESS 31862 PAULRAJ A, 2004, INTRO SPACE TIME WIR 31863 PROAKIS JG, 2001, DIGITAL COMMUNICATIO 31864 REXFORD J, 1999, IEEE ACM T NETWORK, V7, P202 31865 SALEHI JD, 1998, IEEE ACM T NETWORK, V6, P397 31866 STARR T, 1999, UNDERSTANDING DIGITA 31867 SU CJ, 1997, P IEEE INFOCOM 97 KO, V1, P109 31868 THIRAN P, 2001, P INFOCOM, V3, P1474 31869 TRIANTAFILLOU P, 2003, P 2 IEEE INT S NETW, P59 31870 TSYBAKOV BS, 2002, IEEE T INFORM THEORY, V48, P2323 31871 VAKALI A, 2003, IEEE INTERNET COMPUT, V7, P68 31872 WARABINO T, 2000, IEEE COMMUN MAG, V38, P66 31873 NR 26 31874 TC 0 31875 PU IEEE COMPUTER SOC 31876 PI LOS ALAMITOS 31877 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 31878 SN 1536-1233 31879 J9 IEEE TRANS MOB COMPUT 31880 JI IEEE. Trans. Mob. Comput. 31881 PD OCT 31882 PY 2007 31883 VL 6 31884 IS 10 31885 BP 1105 31886 EP 1115 31887 PG 11 31888 SC Computer Science, Information Systems; Telecommunications 31889 GA 200XU 31890 UT ISI:000248796900001 31891 ER 31892 31893 PT J 31894 AU Gou, G 31895 Chirkova, R 31896 AF Gou, Gang 31897 Chirkova, Rada 31898 TI Efficiently querying large XML data repositories: A survey 31899 SO IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 31900 LA English 31901 DT Review 31902 DE XML query processing; twig pattern matching 31903 ID QUERIES; STREAMS; INDEXES 31904 AB Extensible Markup Language (XML) is emerging as a de facto standard for 31905 information exchange among various applications on the World Wide Web. 31906 There has been a growing need for developing high-performance 31907 techniques to query large XML data repositories efficiently. One 31908 important problem in XML query processing is twig pattern matching, 31909 that is, finding in an XML data tree D all matches that satisfy a 31910 specified twig ( or path) query pattern Q. In this survey, we review, 31911 classify, and compare major techniques for twig pattern matching.(1) 31912 Specifically, we consider two classes of major XML query processing 31913 techniques: the relational approach and the native approach. The 31914 relational approach directly utilizes existing relational database 31915 systems to store and query XML data, which enables the use of all 31916 important techniques that have been developed for relational databases, 31917 whereas in the native approach, specialized storage and query 31918 processing systems tailored for XML data are developed from scratch to 31919 further improve XML query performance. As implied by existing work, XML 31920 data querying and management are developing in the direction of 31921 integrating the relational approach with the native approach, which 31922 could result in higher query processing performance and also 31923 significantly reduce system reengineering costs. 31924 C1 N Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA. 31925 RP Gou, G, N Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA. 31926 EM ggou@ncsu.edu 31927 chirkova@csc.ncsu.edu 31928 CR *ONL COMP LIB CTR, 2006, DEW DEC CLASS 31929 *SAX PROJ ORG, SAX SIMPL API XML 31930 *W3C CONS, GUID W3C XML SPEC XM 31931 *W3C CONS, XML PATH LANG XPATH 31932 *W3C CONS, XML QUER US CAS 31933 *W3C CONS, XML SCH 31934 *W3C CONS, XQUERY 1 0 XML QUER 31935 ABITEBOUL S, 1999, DATA WEB RELATIONS S 31936 AGRAWAL R, 1989, P ACM SIGMOD INT C M 31937 ALKHALIFA S, 2002, P 18 IEEE INT C DAT 31938 ALTINEL M, 2000, P 26 INT C VER LARG 31939 AMERYAHIA S, 2004, P 23 ACM SIGMOD INT 31940 BARTON C, 2003, P 19 IEEE INT C DAT 31941 BEYER KS, 2005, P 24 ACM SIGMOD INT 31942 BRUNO N, 2002, P 21 ACM SIGMOD INT 31943 BRUNO N, 2003, P 19 IEEE INT C DAT 31944 CHAMBERLIN DD, 2002, IBM SYSTEMS J, V41 31945 CHAN CY, 2002, P 18 IEEE INT C DAT 31946 CHEN Q, 2003, P 22 ACM SIGMOD INT 31947 CHEN T, 2004, P 15 INT C DTA EXP S 31948 CHEN T, 2005, P 24 INT C DTA EXP S 31949 CHEN XX, 2003, COMPUT SYST SCI ENG, V18, P3 31950 CHEN Y, 2004, P 23 ACM SIGMOD INT 31951 CHEN Y, 2006, P 22 IEEE INT C DAT 31952 CHEN Z, 2005, P 2 INT WORKSH XML S 31953 CHIEN SY, 2002, P 28 INT C VER LARG 31954 CHOI B, 2002, P 5 INT WORKSH WEB D 31955 CHOI B, 2003, P 14 INT WORKSH DAT 31956 CHUNG CW, 2002, P 21 ACM SIGMOD INT 31957 COHEN E, 2003, SIAM J COMPUT, V32, P1338 31958 COOPER B, 2001, P 27 INT C VER LARG 31959 DEHAAN D, 2003, P 22 ACM SIGMOD INT 31960 DEUTSCH A, 2004, P 30 INT C VER LARG 31961 DIAO Y, 2003, P 29 INT C VER LARG 31962 DIAO YL, 2003, ACM T DATABASE SYST, V28, P467 31963 DIETZ PF, 1982, P 14 ACM S THEOR COM 31964 FERNANDEZ M, 2006, GALAX IMPLEMENTATION 31965 FIEBIG T, 2002, VLDB J, V11, P292 31966 FLORESCU D, 1999, 3684 INRIA 31967 FLORESCU D, 1999, IEEE DATA ENG B, V22, P27 31968 FLORESCU D, 2003, P 29 INT C VER LARG 31969 FONTOURA M, 2005, P 14 INT C INF KNOWL 31970 FUHR N, 2001, P 24 ACM INT C RES D 31971 GOLDMAN R, 1997, P 23 INT C VER LARG 31972 GOTTLOB G, 2002, P 28 INT C VER LARG 31973 GOTTLOB G, 2003, P 22 ACM S PRINC DAT 31974 GOTTLOB G, 2005, ACM T DATABASE SYST, V30, P444 31975 GOTTS NM, 2003, ARTIF INTELL REV, V19, P3 31976 GREEN TJ, 2004, ACM T DATABASE SYST, V29, P752 31977 GRUST T, 2002, P 21 ACM SIGMOD INT 31978 GRUST T, 2003, P 29 INT C VER LARG 31979 GRUST T, 2004, ACM T DATABASE SYST, V29, P91 31980 GRUST T, 2004, P 30 INT C VER LARG 31981 GUO ZS, 2003, J EXP BOT S1, V54, P29 31982 GUPTA AK, 2003, P 29 ACM SIGMOD INT 31983 HALVERSON A, 2003, P 29 INT C VER LARG 31984 HE H, 2004, P 20 IEEE INT C DAT 31985 HE H, 2005, P 14 INT C VER LARG 31986 JAGADISH HV, 2001, P 8 INT WORKSH DAT P 31987 JAGADISH HV, 2002, VLDB J, V11, P274 31988 JIANG H, 2002, P 13 AUSTR DAT C ADC 31989 JIANG H, 2003, P 19 IEEE INT C DAT 31990 JIANG H, 2003, P 29 INT C VER LARG 31991 JIANG H, 2004, P 23 ACM SIGMOD INT 31992 JOSIFOVSKI V, 2005, VLDB J, V14, P197 31993 KAUSHIK R, 2002, P 18 IEEE INT C DAT 31994 KAUSHIK R, 2002, P 21 ACM SIGMOD INT 31995 KAUSHIK R, 2004, P 23 ACM SIGMOD INT 31996 KAY MH, SAXON XSLT XQUERY PR 31997 KOCH C, 2004, P 30 INT C VER LARG 31998 KRISHNAMURTHY R, 2003, P 1 INT XML DAT S XS 31999 LI HY, 2004, SIGMOD RECORD, V33, P28 32000 LI Q, 2004, P 30 INT C VER LARG 32001 LI X, 2005, P 31 INT C VER LARG 32002 LI Y, 2004, P 30 INT C VER LARG 32003 LIU X, 2004, SLEEP S, V27, P4 32004 LU J, 2004, P 13 INT C INF KNOWL 32005 LU J, 2005, P 31 INT C VER LARG 32006 LUDASCHER B, 2002, P 28 INT C VER LARG 32007 MCHUGH J, 1999, P 25 INT C VER LARG 32008 MILNER R, 1980, LECT NOTES SCI, V92 32009 MILO T, 1999, P 7 INT C DAT THEOR 32010 MIN JK, 2003, P 22 ACM SIGMOD INT 32011 MORO MM, 2005, P 31 INT C VER LARG 32012 MUHUGH J, 1997, SIGMOD REC, V26, P54 32013 MURTHY R, 2005, P 24 ACM SIGMOD INT 32014 ONEIL PE, 2004, P 23 ACM SIGMOD INT 32015 PAL S, 2004, P 30 INT C VER LARG 32016 PAPARIZOS S, 2004, P 23 ACM SIGMOD INT 32017 PARK D, 1981, P 5 GI C THEOR COMP, P167 32018 PENG F, 2003, P 22 ACM SIGMOD INT 32019 PENG F, 2005, ACM T DATABASE SYST, V30, P577 32020 PRUFER H, 1918, ARCH MATH PHYS, V27, P142 32021 RAMANAN P, 2003, P 29 INT C VER LARG 32022 RAO P, 2004, P 20 IEEE INT C DAT 32023 RIZZOLO F, 2001, P 4 INT WORKSH WEB D 32024 SALTON G, 1983, INTRO MODERN INFORM 32025 SCHENKEL R, 2004, P 9 INT C EXT DAT TE 32026 SCHENKEL R, 2005, P 21 IEEE INT C DAT 32027 SCHMIDT A, 2000, P 3 INT WORKSH WEB D 32028 SELINGER PG, 1979, P ACM SIGMOD INT C M 32029 SHANMUGASUNDARA.J, 1999, P 25 INT C VER LARG 32030 SHANMUGASUNDARAM J, 2001, SIGMOD RECORD, V30, P20 32031 SILBERSTEIN A, 2005, P 21 IEEE INT C DAT 32032 SU H, 2005, P 31 INT C VER LARG 32033 TATARINOV I, 2002, P 21 ACM SIGMOD INT 32034 TIAN F, 2002, SIGMOD RECORD, V31, P5 32035 VAGENA Z, 2004, P 7 INT WORKSH WEB D 32036 WANG H, 2003, P ACM SIGMOD INT C M 32037 WANG H, 2005, P 22 IEEE INT C DAT 32038 WANG H, 2006, P 22 IEEE INT C DAT 32039 WANG W, 2003, P 19 IEEE INT C DAT 32040 WANG W, 2003, P 22 ACM SIGMOD INT 32041 WANG W, 2005, P 31 INT C VER LARG 32042 WEIGEL F, 2004, P 26 EUR C IR RES EC 32043 WEIGEL F, 2005, P 3 INT XML DAT S XS 32044 WU Y, 2002, P 8 INT C EXT DAT TE 32045 WU Y, 2003, P 19 IEEE INT C DAT 32046 XU Y, 2005, P 24 ACM SIGMOD INT 32047 YANG B, 2004, P 13 INT C INF KNOWL 32048 YOSHIKAWA M, 2001, ACM T INTERNET TECHN, V1, P110 32049 ZHANG C, 2001, P 20 ACM SIGMOD INT 32050 ZHANG N, 2004, P 20 IEEE INT C DAT 32051 NR 123 32052 TC 0 32053 PU IEEE COMPUTER SOC 32054 PI LOS ALAMITOS 32055 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 32056 SN 1041-4347 32057 J9 IEEE TRANS KNOWL DATA ENG 32058 JI IEEE Trans. Knowl. Data Eng. 32059 PD OCT 32060 PY 2007 32061 VL 19 32062 IS 10 32063 BP 1381 32064 EP 1403 32065 PG 23 32066 SC Computer Science, Artificial Intelligence; Computer Science, 32067 Information Systems; Engineering, Electrical & Electronic 32068 GA 202ES 32069 UT ISI:000248885400006 32070 ER 32071 32072 PT J 32073 AU Hung, HP 32074 Chuang, KT 32075 Chen, MS 32076 AF Hung, Hao-Ping 32077 Chuang, Kun-Ta 32078 Chen, Ming-Syan 32079 TI Efficient process of top-k range-sum queries over multiple streams with 32080 minimized global error 32081 SO IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 32082 LA English 32083 DT Article 32084 DE Data Stream Management System; top-k queries; wavelet synopses 32085 AB Due to the resource limitation in the data stream environments, it has 32086 been reported that answering user queries according to the wavelet 32087 synopsis of a stream is an essential ability of a Data Stream 32088 Management System (DSMS). In the literature, recent research has been 32089 elaborated upon minimizing the local error metric of an individual 32090 stream. However, many emergent applications such as stock marketing and 32091 sensor detection also call for the need of recording multiple streams 32092 in a commercial DSMS. As shown in our thorough analysis and 32093 experimental studies, minimizing global error in multiple-stream 32094 environments leads to good reliability for DSMS to answer the queries. 32095 In contrast, only minimizing local error may lead to a significant loss 32096 of query accuracy. As such, we first study in this paper the problem of 32097 maintaining the wavelet coefficients of multiple streams within 32098 collective memory so that the predetermined global error metric is 32099 minimized. Moreover, we also examine a promising application in the 32100 multistream environment, that is, the queries for top-k range sum. We 32101 resolve the problem of efficient top-k query processing with minimized 32102 global error by developing a general framework. For the purposes of 32103 maintaining the wavelet coefficients and processing top-k queries, 32104 several well-designed algorithms are utilized to optimize the 32105 performance of each primary component of this general framework. We 32106 also evaluate the proposed algorithms empirically on real and simulated 32107 data streams and show that our framework can process top-k queries 32108 accurately and efficiently. 32109 C1 Natl Taiwan Univ, Grad Inst Commun Engn, Taipei, Taiwan. 32110 Natl Taiwan Univ, Grad Inst Commun Engn, Dept Elect Engn, Taipei, Taiwan. 32111 RP Hung, HP, Natl Taiwan Univ, Grad Inst Commun Engn, 1,Sec 4,Roosevelt 32112 Rd, Taipei, Taiwan. 32113 EM hphung@arbor.ee.ntu.edu.tw 32114 doug@arbor.ee.ntu.edu.tw 32115 mschen@cc.ee.ntu.edu.tw 32116 CR BABCOCK B, 2002, P 21 ACM S PRINC DAT 32117 BABCOCK B, 2005, P ACM SIGMOD INT C M 32118 BALKE WT, 2005, P 21 IEEE INT C DAT 32119 BAWA M, 2003, P 12 INT WORLD WID C 32120 BULUT A, 2003, P 19 IEEE INT C DAT 32121 BULUT A, 2005, P 21 IEEE INT C DAT 32122 CHAKRABARTI K, 2002, ACM T DATABASE SYSTE, V27 32123 CHAUDHURI S, 2004, IEEE T KNOWLEDGE DAT, V16 32124 CHENG R, 2003, P ACM SIGMOD INT C M 32125 CHENGY R, 2005, P 31 INT C VER LARG 32126 CORMODE G, 2005, P 31 INT C VER LARG 32127 FAGIN R, 2001, P 20 ACM S PRINC DAT 32128 GAROFALAKIS M, 2004, ACM T DATABASE SYSTE, V29 32129 GAROFALAKIS M, 2004, P 23 ACM PRINC DAT S 32130 GILBERT AC, 2003, IEEE T KNOWLEDGE DAT, V15 32131 GUHA S, 2004, P 30 INT C VER LARG 32132 GUHA S, 2005, P 11 INT C KNOWL DIS 32133 GUHA S, 2006, ACM T DATABASE SYSTE, V31 32134 GUNTZER U, 2000, P 26 INT C VER LARG 32135 HSIEH MJ, 2005, P 14 ACM INT C INF K 32136 JAGADISH HV, 2001, P ACM SIGMOD INT C M 32137 KARRAS P, 2005, P 31 INT C VER LARG 32138 KOUDAS N, 2004, P 30 INT C VER LARG 32139 LIU KH, 2005, P ICDM WORKSH TEMP D 32140 MATIAS Y, 1998, P ACM SIGMOD INT C M 32141 MICHEL S, 2005, P 31 INT C VER LARG 32142 PAPADIMITRIOU S, 2005, P 31 INT C VER LARG 32143 PERNG CS, 2000, P 16 IEEE INT C DAT 32144 STOLLNITZ EJ, 1996, WAVELETS COMPUTER GR 32145 VITTER JS, 1999, P ACM SIGMOD INT C M 32146 NR 30 32147 TC 0 32148 PU IEEE COMPUTER SOC 32149 PI LOS ALAMITOS 32150 PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA 32151 SN 1041-4347 32152 J9 IEEE TRANS KNOWL DATA ENG 32153 JI IEEE Trans. Knowl. Data Eng. 32154 PD OCT 32155 PY 2007 32156 VL 19 32157 IS 10 32158 BP 1404 32159 EP 1419 32160 PG 16 32161 SC Computer Science, Artificial Intelligence; Computer Science, 32162 Information Systems; Engineering, Electrical & Electronic 32163 GA 202ES 32164 UT ISI:000248885400007 32165 ER 32166 32167 PT J 32168 AU Andria, G 32169 Baccigalupi, A 32170 Borsic, M 32171 Carbone, P 32172 Daponte, P 32173 De Capua, C 32174 Ferrero, A 32175 Grimaldi, D 32176 Liccardo, A 32177 Locci, N 32178 Lanzolla, AML 32179 Macii, D 32180 Muscas, C 32181 Peretto, L 32182 Petri, D 32183 Rapuano, S 32184 Riccio, M 32185 Salicone, S 32186 Stefani, F 32187 AF Andria, Gregorio 32188 Baccigalupi, Aldo 32189 Borsic, Mladen 32190 Carbone, Paolo 32191 Daponte, Pasquale 32192 De Capua, Claudio 32193 Ferrero, Alessandro 32194 Grimaldi, Domenico 32195 Liccardo, Annalisa 32196 Locci, Nicola 32197 Lucia Lanzolla, Anna Maria 32198 Macii, David 32199 Muscas, Carlo 32200 Peretto, Lorenzo 32201 Petri, Dario 32202 Rapuano, Sergio 32203 Riccio, Maria 32204 Salicone, Simona 32205 Stefani, F. 32206 TI Remote didatic laboratory "G. Savastano," The Italian experience for 32207 e-learning at the technical university in the field of electrical and 32208 electronic measurement: Architecture and optimization of the the 32209 communication performance based on thin client technology 32210 SO IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 32211 LA English 32212 DT Article 32213 DE instrumentation and measurement education; learning management system; 32214 remote learning; remote measurement laboratory; thin client paradigm; 32215 virtual systems 32216 ID NETWORK 32217 AB The Remote Didactic Laboratory Laboratorio Didattico Remoto-LA.DI.RE. 32218 "G. Savastano" is an e-learning measurement laboratory supported by the 32219 Italian Ministry of Education and University. It provides the students 32220 of electric and electronic measurement courses with access to remote 32221 measurement laboratories, delivering different didactic activities 32222 related to measurement experiments. The core of the software. 32223 architecture is the integration of the Learning Management System (LMS) 32224 with the remotely accessible measurement laboratories through web 32225 services and thin client paradigm, providing a new approach to remote 32226 experiments on measurement instrumentation. The overview of this paper 32227 is on the different solutions concerning the thin client technology, 32228 and the solution implemented is described. This solution takes into 32229 account the delivered services to students and teachers and permits 32230 optimization of the communication performances. The results of the 32231 comparison among the performances of different implementations of the 32232 thin client paradigm highlight the advantages of the adopted solution. 32233 As a consequence, the description of the thin client protocol 32234 implemented, together with the presentation of the LMS and delivered 32235 services given in a previous paper, makes an exhaustive analysis of the 32236 software architecture of the LA.DI.RE. "G. Savastano." 32237 C1 Polytech Bari, DIASS, I-74100 Taranto, Italy. 32238 Univ Naples Federico 2, Dipartimento Informat Sistemist, I-80121 Naples, Italy. 32239 Univ Zagreb, Fac Elect Engn & Comp, HR-10000 Zagreb, Croatia. 32240 Univ Perugia, Dipartimento Ingn Elettron & Informaz, I-06125 Perugia, Italy. 32241 Univ Sannio, Fac Engn, I-82100 Benevento, Italy. 32242 Univ Mediterranea Reggio Calabria, Dept Comp Sci & Elect Technol, I-89060 Reggio Di Calabria, Italy. 32243 Politecn Milan, Dipartimento Elettrotecn, I-20133 Milan, Italy. 32244 Univ Calabria, Dept Elect Comp & Syst Sci, I-87036 Arcavacata Di Rende, CS, Italy. 32245 Univ Naples Federico 2, Dipartimento Ingn Elettr, I-80121 Naples, Italy. 32246 Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy. 32247 Univ Trent, Dept Informat & Commun Technol, I-38050 Trento, Italy. 32248 Univ Bologna, Dept Elect Engn, I-40136 Bologna, Italy. 32249 Didagrp SpA, I-82018 San Giorgio Del Sannio, BN, Italy. 32250 RP Andria, G, Polytech Bari, DIASS, I-74100 Taranto, Italy. 32251 EM andria@misure.poliba.it 32252 baccigal@unina.it 32253 mladen.borsic@hmd.hr 32254 carbone@diei.unipg.it 32255 daponte@unisannio.it 32256 decapua@unirc.it 32257 alessandro.ferrero@polimi.it 32258 grimaldi@deis.unical.it 32259 aliccard@unina.it 32260 locci@diee.unica.it 32261 lanzolla@misure.poliba.it 32262 petri@dit.unitn.it 32263 carlo@diee.unica.it 32264 lorenzo.peretto@mail.ing.unibo.it 32265 rapuano@unisannio.it 32266 mriccio@didagroup.it 32267 simona.salicone@polimi.it 32268 CR CITRIX 32269 RDESKTOP REMOTE DESK 32270 VNC 32271 WINDOWS 2000 TERMINA 32272 X PROTOCOL 32273 *LAB DID REM DISTR, MIN ISTR U RIC PIAN 32274 *PROP LTD, PROP 32275 ALBU MA, 2004, IEEE T POWER SYST, V19, P139 32276 ANDRIA G, 2006, P IEEE I MEAS TECHN, P998 32277 ANDRIA G, 2007, IEEE T INSTRUM MEAS, V56 32278 ARPAIA P, 1996, P IMEKO 8 INT S NEW, P294 32279 ARPAIA P, 2000, IEEE T INSTRUM MEAS, V49, P992 32280 BAGNASCO A, 2003, P 2 INT WORKSH E LEA, P132 32281 BAGNASCO MC, 2002, P 19 IEEE IMTC ANCH, V1, P651 32282 BARKER P, 1994, P IEE C COMP BAS LEA 32283 BENETAZZO L, 2000, IEEE T INSTRUM MEAS, V49, P349 32284 BENETAZZO L, 2002, P ED ANN C OP DIST L, P409 32285 CANFORA G, 2004, COMPUT STAND INTER, V26, P489 32286 COBBY M, 1995, P IEE C COMP BAS LEA 32287 CONDARCURI A, 2004, P 13 IMEKO TC 4 INT, P360 32288 DAPONTE P, 1994, P 1994 INSTR MEAS TE, P11 32289 DAPONTE P, 2002, IEEE T INSTRUM MEAS, V51, P962 32290 DAPONTE P, 2004, P IMEKO TC4 13 INT S, P687 32291 DAPONTE P, 2004, PROGETTO PRELIMINARE 32292 GRIMALDI D, 2005, P IMTC 2005 OTT CAN, P1233 32293 GRIMALDI D, 2005, P TYRRH INT WORKSH D, P289 32294 ILLYEFALVIVITEZ Z, 1999, P 49 EL COMP TECHN C, P1068 32295 KO CC, 2000, ENG SCI EDUC J, V9, P69 32296 LAPOULOS T, 1999, IEEE INSTRU MEAS MAG, V2, P28 32297 NIEH J, 2003, ACM T COMPUT SYST, V21, P87 32298 ORSAK GC, 1996, IEEE T EDUC, V39, P165 32299 PALOP JMG, 2000, IEEE T EDUC, V43, P15 32300 PISANI U, 2004, P IEEE IMTC 04 COM I, V2, P1277 32301 RANALDO N, 2004, P AICA 2004 S BEN IT, P503 32302 TYML P, 2004, P IEEE IMTC 04 COM I, V2, P1269 32303 NR 35 32304 TC 0 32305 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32306 PI PISCATAWAY 32307 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32308 SN 0018-9456 32309 J9 IEEE TRANS INSTRUM MEAS 32310 JI IEEE Trans. Instrum. Meas. 32311 PD AUG 32312 PY 2007 32313 VL 56 32314 IS 4 32315 BP 1124 32316 EP 1134 32317 PG 11 32318 SC Engineering, Electrical & Electronic; Instruments & Instrumentation 32319 GA 192WT 32320 UT ISI:000248235000005 32321 ER 32322 32323 PT J 32324 AU Angrisani, L 32325 Vadursi, M 32326 AF Angrisani, Leopoldo 32327 Vadursi, Michele 32328 TI Cross-layer measurements for a comprehensive characterization of 32329 wireless networks in the presence of interference 32330 SO IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 32331 LA English 32332 DT Article 32333 DE coexistence issues; cross-layer measurements; interference 32334 measurements; one-way-delay (OWD) measurements; packet-loss-ratio (PLR) 32335 measurements; timing-jitter measurements; Wi-Fi; wireless networks 32336 ID SYSTEMS; WLAN; COEXISTENCE; PROTOCOL 32337 AB Assessing the overall performance of wireless communication networks is 32338 of key importance for optimal management and planning. With special 32339 regard to wireless networks operating in an unlicensed band, evaluating 32340 overall performance mainly implies facing the coexistence issues, which 32341 are associated with the contemporaneous presence of true and 32342 interfering signals at the physical layer. This task is difficult to 32343 fulfill only on the basis of single-layer measurements, if not 32344 prohibitive; a partial perspective of network behavior would, in fact, 32345 be gained. With this concern, a cross-layer approach is presented 32346 hereinafter. It provides for several measurements to be concurrently 32347 carried out at different layers through a proper-automatic station. It 32348 aims to correlate the values of the major physical-layer quantities 32349 (e.g., channel power and signal-to-interference ratio) exhibited by 32350 those characterizing the key higher layers' parameters (e.g., 32351 packet-loss ratio. and one-way delay) in the presence of interference. 32352 A first step toward a full characterization of how the effects of a 32353 problem, which is experienced at the physical layer, propagates along 32354 the whole protocol stack, can thus be taken. 32355 C1 Univ Naples Federico 2, Dipartimento Informat & Sistemist, I-80125 Naples, Italy. 32356 Univ Naples Federico 2, Dipartimento Tecnol, I-80133 Naples, Italy. 32357 RP Angrisani, L, Univ Naples Federico 2, Dipartimento Informat & 32358 Sistemist, I-80125 Naples, Italy. 32359 EM angrisan@unina.it 32360 vadursi@uniparthenope.it 32361 CR *BLUET SIG, 2003, TEST SPEC BLUET SYST 32362 AMARO JC, 2001, P IEEE INT S NETW CO, P358 32363 ANGRISANI L, 2006, COMPUT NETW, V50, P332 32364 ANGRISANI L, 2006, IEEE T INSTRUM MEAS, V55, P1051 32365 ANGRISANI L, 2006, P IEEE IMTC SORR IT, P2323 32366 AVALLONE S, 2006, J SUPERCOMPUT, V35, P5 32367 DHAOU R, 2004, P TUT HET NETS 2 INT 32368 FENG W, 2003, P 57 IEEE SEM VTC AP, V2, P1489 32369 GOLMIE N, 2003, IEEE WIREL COMMUN, V10, P22 32370 HOWITT I, 2001, IEEE T VEH TECHNOL, V50, P1114 32371 HOWITT I, 2003, P IEEE WIR COMM NETW, V3, P1487 32372 MATSUMOTO Y, 2005, IEEE T ELECTROMAGN C, V47, P45 32373 MILLS DL, 1991, IEEE T COMMUN, V39, P1482 32374 MOHANTY S, 2006, IEEE T MOBILE COMPUT, V5, P1347 32375 MOLTCHANOV D, 2004, P NET CON PALM MALL 32376 MOLTCHANOV D, 2004, P QOFIS 2004 BARC SP, P194 32377 POLLIN S, 2003, P IEEE SCVT EINDH NE 32378 SIKORA A, 2005, P INSTR MEAS TECHN C, P1786 32379 SRIVASTAVA V, 2005, IEEE COMMUN MAG, V43, P112 32380 TAKAYA K, 1998, P IEEE INT S EL COMP, V1, P80 32381 XYLOMENOS G, 1999, P IEEE INFOCOM 99, V2, P439 32382 NR 21 32383 TC 0 32384 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32385 PI PISCATAWAY 32386 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32387 SN 0018-9456 32388 J9 IEEE TRANS INSTRUM MEAS 32389 JI IEEE Trans. Instrum. Meas. 32390 PD AUG 32391 PY 2007 32392 VL 56 32393 IS 4 32394 BP 1148 32395 EP 1156 32396 PG 9 32397 SC Engineering, Electrical & Electronic; Instruments & Instrumentation 32398 GA 192WT 32399 UT ISI:000248235000007 32400 ER 32401 32402 PT J 32403 AU Schubert, M 32404 Boche, H 32405 AF Schubert, Martin 32406 Boche, Holger 32407 TI A generic approach to QoS-Based transceiver optimization 32408 SO IEEE TRANSACTIONS ON COMMUNICATIONS 32409 LA English 32410 DT Article 32411 DE multiuser channels; power control; resource management 32412 ID CELLULAR RADIO SYSTEMS; TRANSMITTER POWER-CONTROL; MINIMUM TOTAL POWER; 32413 CDMA SYSTEMS; ANTENNA-ARRAYS; LOG-CONVEXITY; DOWNLINK; UPLINK; 32414 PERFORMANCE; CAPACITY 32415 AB We propose a generic framework for jointly optimizing the transmit 32416 power allocation and the adaptive receive strategies in a multiuser 32417 network with individual quality-of-service (QoS) requirements. The QoS 32418 is assumed to be a one-to-one mapping of the 32419 signal-to-interference-plus-noise ratio (SINR). The feasibility of 32420 certain target QoS depends on the mutual interference and on a given 32421 sum-power constraint. This coupling can be modeled by interference 32422 functions, which determine how the transmit powers cause interference 32423 to the individual users. We show fundamental properties, like 32424 continuity and feasibility for the most general case when the functions 32425 are defined by axioms. Additional properties are shown for the case 32426 when the interference functions are based on a parameter-dependent 32427 coupling matrix, which allows to apply techniques from the theory of 32428 nonnegative matrices. We derive a class of iterative algorithms, which 32429 exploit the matrix structure. The proposed iteration converges 32430 monotonically to the global optimum. Starting from the same 32431 initialization, it is better than the known fixed-point iteration. It 32432 achieves arbitrary QoS values within the QoS-feasible region. 32433 C1 Fraunhofer German Sino Lab, Mobile Communicat MCI, D-10587 Berlin, Germany. 32434 Heinrich Hertz Inst Nachrichtentech Berlin GmbH, Fraunhofer Inst Telecommunicat, D-10587 Berlin, Germany. 32435 Fraunhofer German Sino Lab Mobile Communicat MCI, D-10587 Berlin, Germany. 32436 Tech Univ Berlin, Inst Telecommun Syst, D-10587 Berlin, Germany. 32437 RP Schubert, M, Fraunhofer German Sino Lab, Mobile Communicat MCI, D-10587 32438 Berlin, Germany. 32439 EM schubert@hhi.fhg.de 32440 boche@hhi.fhg.de 32441 CR BENGTSSON M, 2001, HDB ANTENNAS WIRELES, CH18 32442 BOCHE H, 2002, P IEEE VEH TECHN C S, V1, P87 32443 BOCHE H, 2004, IEEE T COMMUN, V52, P2190 32444 BOCHE H, 2004, P IEEE INT S INF THE, P353 32445 BOCHE H, 2005, CAN WORKSH INF THE C 32446 BOCHE H, 2005, IEEE T INFORM THEORY, V51, P374 32447 BOCHE H, 2006, EURASIP J WIRELESS C 32448 BOCHE H, 2006, P IEEE INT WORKSH SI, P1 32449 BOCHE H, 2007, IEEE T SIGNAL PROC 1, V55, P3484 32450 CATREIN D, 2004, IEEE T COMMUN, V52, P1777 32451 FARSAKH C, 1998, IEEE T COMMUN, V46, P1497 32452 GERLACH D, 1996, SIGNAL PROCESS, V54, P59 32453 MEYER CD, 2000, MATRIX ANAL APPL LIN 32454 MONTALBANO G, 1998, P AS C SIGN SYST COM, P1337 32455 MONTALBANO G, 1998, P IEEE INT C UN PERS, P677 32456 RASHIDFARROKHI F, 1998, IEEE T COMMUN, V46, P1313 32457 SCHUBERT M, 2005, IEEE T SIGNAL PROCES, V53, P2324 32458 SCHUE F, 2004, POLYM INT, V53, P1 32459 SUNG CW, 2002, IEEE COMMUN LETT, V6, P248 32460 VISOTSKY E, 1999, P IEEE VEH TECHN C V, V1, P851 32461 VISOTSKY E, 2001, IEEE T INFORM THEORY, V47, P2632 32462 VISWANATH P, 2003, IEEE T INFORM THEORY, V49, P1912 32463 WIESEL A, 2006, IEEE T SIGNAL PROCES, V54, P161 32464 YANG W, 1998, P 1998 IEEE INT C AC, P3337 32465 YATES RD, 1995, IEEE J SEL AREA COMM, V13, P1341 32466 ZANDER J, 1992, IEEE T VEH TECHNOL, V41, P57 32467 ZANDER J, 1994, IEEE T VEH TECHNOL, V43, P636 32468 ZANDER J, 2001, RADION RESOURCE MANA 32469 NR 28 32470 TC 0 32471 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32472 PI PISCATAWAY 32473 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32474 SN 0090-6778 32475 J9 IEEE TRANS COMMUN 32476 JI IEEE Trans. Commun. 32477 PD AUG 32478 PY 2007 32479 VL 55 32480 IS 8 32481 BP 1557 32482 EP 1566 32483 PG 10 32484 SC Engineering, Electrical & Electronic; Telecommunications 32485 GA 201LM 32486 UT ISI:000248832900015 32487 ER 32488 32489 PT J 32490 AU Luis, RS 32491 Fonseca, D 32492 Teixeira, ALJ 32493 Monteiro, P 32494 AF Luis, Ruben S. 32495 Fonseca, Daniel 32496 Teixeira, Antonio Luis Jesus 32497 Monteiro, Paulo 32498 TI Dispersion management of electrically precompensated RZ single-sideband 32499 signals at 10 gb/s without inline dispersion compensation 32500 SO IEEE PHOTONICS TECHNOLOGY LETTERS 32501 LA English 32502 DT Article 32503 DE electrical dispersion compensation; optical fiber dispersion; optical 32504 single-sideband (SSB); pseudolinear regime 32505 ID PREDISTORTION 32506 AB An alternative approach is presented to minimize the impact of fiber 32507 nonlinearities in optical single-sideband systems at 10 Gb/s using 32508 electrical dispersion precompensation by adding optical 32509 postcompensation while maintaining low accumulated dispersion. 32510 Numerical simulation is used to show that the dependence of the system 32511 performance on the dispersion compensation scheme resembles a 32512 pseudolinear transmission regime, although it is not considered as such 32513 in the strictest sense. A launched power increase of 3 dB is achieved 32514 when compared to full electrically precompensated systems. A feasible 32515 implementation of the optical transmitter is considered, which imposes 32516 a maximum transmitted modulation depth. It is shown that low modulation 32517 depths result in an asymmetric optimum dispersion compensation map. 32518 C1 Nokia Siemens Networks SA, P-2700 Amadora, Portugal. 32519 Inst Telecommun, P-3810 Aveiro, Portugal. 32520 Univ Aveiro, P-3810 Aveiro, Portugal. 32521 Inst Super Tecn, P-1049 Lisbon, Portugal. 32522 RP Luis, RS, Nokia Siemens Networks SA, P-2700 Amadora, Portugal. 32523 EM ruben.luis@siemens.com 32524 paulo.monteiro@siemens.com 32525 CR ESSIAMBRE R, 2002, OPTICAL FIBER TELE B, V4 32526 ESSIAMBRE RJ, 2006, IEEE PHOTONIC TECH L, V18, P1804 32527 FONSECA D, 2006, IEEE J SEL TOP QUANT, V12, P603 32528 KILLEY RI, 2005, IEEE PHOTONIC TECH L, V17, P714 32529 MECOZZI A, 2001, IEEE PHOTONIC TECH L, V13, P445 32530 NR 5 32531 TC 0 32532 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32533 PI PISCATAWAY 32534 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32535 SN 1041-1135 32536 J9 IEEE PHOTONIC TECHNOL LETT 32537 JI IEEE Photonics Technol. Lett. 32538 PD JUL-AUG 32539 PY 2007 32540 VL 19 32541 IS 13-16 32542 BP 1039 32543 EP 1041 32544 PG 3 32545 SC Engineering, Electrical & Electronic; Optics; Physics, Applied 32546 GA 199BQ 32547 UT ISI:000248671600029 32548 ER 32549 32550 PT J 32551 AU Fan, BF 32552 Wu, H 32553 Zhao, Y 32554 Xian, YL 32555 Wang, G 32556 AF Fan, Bingfeng 32557 Wu, Hao 32558 Zhao, Yu 32559 Xian, Yulun 32560 Wang, Gang 32561 TI Study of phosphor thermal-isolated packaging technologies for 32562 high-power white light-emitting diodes 32563 SO IEEE PHOTONICS TECHNOLOGY LETTERS 32564 LA English 32565 DT Article 32566 DE finite-element method (FEM) simulation; packaging configuration; 32567 thermal-isolation; white light-emitting diode (LED) 32568 ID LEDS; ILLUMINATION 32569 AB A novel packaging configuration for high-power phosphor-converting 32570 white light-emitting diodes (LEDs) application is reported. In this 32571 packaging configuration, a thermal-isolated encapsulant layer was used 32572 to separate the phosphor coating layer from the LED chip and the 32573 submount. Experimental and finite-element method simulation results 32574 proved that this thermal management can prevent the heat of LED chip 32575 from transferring to the phosphor coating layer. The surface 32576 temperature of the phosphor coating layer is a 16.8 degrees C lower 32577 than that of the conventional packaging at 500-mA driver current for 32578 1-mm(2) power GaN-based LED chip. Experimental results also show that 32579 this packaging configuration can improve the light-emitting power 32580 performance and color characteristics stability of the white LED, 32581 especially under high current operating condition. 32582 C1 Sun Yat Sen Univ, State Key Lab Optoelect Mat & Technol, Guangzhou 510275, Peoples R China. 32583 Sun Yat Sen Univ, Sch Phys & Engn, Guangzhou 510275, Peoples R China. 32584 RP Fan, BF, Sun Yat Sen Univ, State Key Lab Optoelect Mat & Technol, 32585 Guangzhou 510275, Peoples R China. 32586 EM stswangg@mail.sysu.edu.cn 32587 CR ARIK M, 2004, P SOC PHOTO-OPT INS, V5187, P64 32588 LUO H, 2005, APPL PHYS LETT, V86 32589 MUELLERMACH R, 2002, IEEE J SEL TOP QUANT, V8, P339 32590 NARENDRAN N, 2004, J CRYST GROWTH, V268, P449 32591 NARENDRAN N, 2005, PHYS STATUS SOLIDI A, V202, R60 32592 SCHUBERT EF, 2005, SCIENCE, V308, P1274 32593 SHATALOV M, 2005, APPL PHYS LETT, V86 32594 STEIGERWALD DA, 2002, IEEE J SEL TOP QUANT, V8, P310 32595 TAMURA T, 2000, J LUMIN, V87, P1180 32596 NR 9 32597 TC 0 32598 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32599 PI PISCATAWAY 32600 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32601 SN 1041-1135 32602 J9 IEEE PHOTONIC TECHNOL LETT 32603 JI IEEE Photonics Technol. Lett. 32604 PD JUL-AUG 32605 PY 2007 32606 VL 19 32607 IS 13-16 32608 BP 1121 32609 EP 1123 32610 PG 3 32611 SC Engineering, Electrical & Electronic; Optics; Physics, Applied 32612 GA 199BQ 32613 UT ISI:000248671600055 32614 ER 32615 32616 PT J 32617 AU Bergida, S 32618 Shavitt, Y 32619 AF Bergida, Shlomi 32620 Shavitt, Yuval 32621 TI Analysis of shared memory priority queues with two discord levels 32622 SO IEEE NETWORK 32623 LA English 32624 DT Article 32625 AB Two-rate SLAs become increasingly popular in today's Internet, allowing 32626 a customer to save money by paying one price for committed traffic and 32627 a much lower price for additional traffic that is not guaranteed. These 32628 types of SLAs are suggested for all types of traffic from best effort 32629 to QoS constrained applications. In access networks, where these SLAs 32630 are prevalent, shared memory switches are a common feature of 32631 architecture. Thus, dimensioning and management of shared memory queues 32632 for multiple priorities, each with two levels of guarantees, becomes an 32633 interesting challenge. We present a simple analysis of a multipriority 32634 multi-discard-level system controlled by a buffer occupancy threshold 32635 policy aimed at assuring SLA compliance for conforming (i.e., 32636 committed) traffic, and performance maximization for nonconforming 32637 (i.e., excess) traffic. Our analysis shows how to calculate the 32638 different system parameters: total buffer size, threshold position, and 32639 offered load control performance for the committed and excess traffic. 32640 Our suggested design enables assuring high SLA compliance for 32641 conforming traffic and performance maximization for nonconforming 32642 traffic. 32643 C1 Tel Aviv Univ, IL-69978 Tel Aviv, Israel. 32644 RP Bergida, S, Tel Aviv Univ, IL-69978 Tel Aviv, Israel. 32645 EM shavitt@eng.tau.ac.il 32646 CR BERGIDA S, 2006, EE60 TEL AV U SCH EL 32647 BLAKE S, 1998, 2475 IETF RFC 32648 CHOUDHURY AK, 1998, IEEE ACM T NETWORK, V6, P130 32649 CIDON I, 1994, IEEE ACM T NETWORK, V2, P240 32650 CIDON I, 1999, IEEE ACM T NETWORK, V7, P885 32651 FAUCHEUR FL, 2002, 3270 IETF RFC 32652 GROSSMAN D, 2002, 3260 IETF RFC 32653 IYER S, 2001, IEEE HIGH PERFORMANC, P368 32654 KLEINROCK L, 1976, QUEUING SYSTEMS 32655 LOTKER Z, 2002, PODC 02 MONTEREY JUL 32656 MARSAN MA, 1995, MODELLING GENERALIZE 32657 STOICA I, 2003, IEEE ACM T NETWORK, V11, P33 32658 NR 12 32659 TC 0 32660 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32661 PI PISCATAWAY 32662 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32663 SN 0890-8044 32664 J9 IEEE NETWORK 32665 JI IEEE Netw. 32666 PD JUL-AUG 32667 PY 2007 32668 VL 21 32669 IS 4 32670 BP 46 32671 EP 50 32672 PG 5 32673 SC Computer Science, Hardware & Architecture; Computer Science, 32674 Information Systems; Engineering, Electrical & Electronic; 32675 Telecommunications 32676 GA 192WV 32677 UT ISI:000248235200007 32678 ER 32679 32680 PT J 32681 AU Du, HF 32682 Fan, LG 32683 Mudugamuwa, U 32684 Evans, BG 32685 AF Du, Hongfei 32686 Fan, Linghang 32687 Mudugamuwa, Upendra 32688 Evans, Barry G. 32689 TI A cross-layer packet scheduling scheme for multimedia broadcasting via 32690 satellite digital multimedia broadcasting system 32691 SO IEEE COMMUNICATIONS MAGAZINE 32692 LA English 32693 DT Article 32694 ID SERVICES 32695 AB In recent years, multimedia content broadcasting via satellite has 32696 attracted increased attention. The satellite digital multimedia 32697 broadcasting (S-DMB) system has emerged as one of the most promising 32698 alternatives for the efficient delivery of multimedia broadcast 32699 multicast service (MBMS). The design of an efficient radio resource 32700 management (RRM) strategy, especially the packet scheduling scheme, 32701 becomes a key technique for provisioning multimedia services at 32702 required quality of service (QoS) in S-DMB. In this article, we propose 32703 a novel cross-layer packet scheduling scheme that consists of a 32704 combined delay and rate differentiation (CDRD) service prioritization 32705 algorithm and a dynamic rate matching (DRM)-based resource allocation 32706 algorithm. The proposed scheme considers multiple key factors that span 32707 from the application layer to the physical layer, aiming at 32708 simultaneously guaranteeing diverse QoS while utilizing radio resources 32709 efficiently under the system power and resource constraints. Simulation 32710 results demonstrate that the proposed cross-layer scheme achieves 32711 significantly better performance than existing schemes in queuing 32712 delay, jitter, and channel utilization. 32713 C1 Univ Surrey, Ctr Commun Syst Res, Guildford GU2 5XH, Surrey, England. 32714 RP Du, HF, Univ Surrey, Sch Elect & Phys Sci, Guildford GU2 5XH, Surrey, 32715 England. 32716 EM H.Du@surrey.ac.uk 32717 L.Fan@surrey.ac.uk 32718 Upendra.Mudugamuwa@aeroflex.com 32719 B.Evans@surrey.ac.uk 32720 CR 2006, TIA1099 32721 *3GPP, 2005, 23107V630 TS 3GPP 32722 *3GPP, 2005, 23246V680 TS 3GPP 32723 *3GPP, 2005, 25301620 TS 3GPP 32724 *ETSI, 2004, 302 304 ETSI EN 32725 CHUBERRE N, 2005, 1 MOB WIR COMM SUMM 32726 DOVROLIS C, 2002, IEEE ACM T NETWORK, V10, P12 32727 HOMER S, 2000, COMPUTABILITY COMPLE 32728 KARALIOPOULOS M, 2004, INT J SATELL COMM N, V22, P503 32729 MUDUGAMUWA U, 2006, THESIS U SURREY 32730 NR 10 32731 TC 0 32732 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32733 PI PISCATAWAY 32734 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32735 SN 0163-6804 32736 J9 IEEE COMMUN MAG 32737 JI IEEE Commun. Mag. 32738 PD AUG 32739 PY 2007 32740 VL 45 32741 IS 8 32742 BP 94 32743 EP 101 32744 PG 8 32745 SC Engineering, Electrical & Electronic; Telecommunications 32746 GA 200LJ 32747 UT ISI:000248764600013 32748 ER 32749 32750 PT J 32751 AU Perello, J 32752 Spadaro, S 32753 Comellas, J 32754 Junyent, G 32755 AF Perello, Jordi 32756 Spadaro, Salvatore 32757 Comellas, Jaume 32758 Junyent, Gabriel 32759 TI An analytical study of control plane failures impact on GMPLS ring 32760 optical networks 32761 SO IEEE COMMUNICATIONS LETTERS 32762 LA English 32763 DT Article 32764 DE GMPLS; LMP; control plane failure recovery 32765 AB Within the Generalized Multi-Protocol Label Switching (GMPLS), Link 32766 Management Protocol (LMP) has been proposed to maintain the 32767 connectivity of the out-of-fiber control plane. In this letter, we 32768 analytically quantify the impact of control plane link failures on 32769 whole network performance. Then, we use the obtained results to suggest 32770 the keep-alive interval for LMP, introducing the least overhead to the 32771 control network while keeping an acceptable network Grade of Service 32772 (GoS). 32773 C1 Univ Politecn Catalunya, GCO, Barcelona, Spain. 32774 RP Perello, J, Univ Politecn Catalunya, GCO, Barcelona, Spain. 32775 EM jperello@tsc.upc.edu 32776 spadaro@tsc.upc.edu 32777 comellas@tsc.upc.edu 32778 junyent@tsc.upc.edu 32779 CR BERGER L, 2003, 3473 RFC 32780 JAJSZCZYK A, 2006, IEEE COMMUN MAG FEB 32781 JAJSZCZYK A, 2006, IEEE NETWORK FEB 32782 KATZ D, 2003, 3630 RFC 32783 LANG J, 2005, 4204 RFC 32784 MANNIE E, 2004, 3945 RFC 32785 MOY J, 1998, 23238 RFC 32786 PERELLO J, 2006, IEEE COMMUN LETT DEC 32787 VEERARAGHAVAN M, OFC 2002 MARCH 2002 32788 NR 9 32789 TC 0 32790 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 32791 PI PISCATAWAY 32792 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 32793 SN 1089-7798 32794 J9 IEEE COMMUN LETT 32795 JI IEEE Commun. Lett. 32796 PD AUG 32797 PY 2007 32798 VL 11 32799 IS 8 32800 BP 695 32801 EP 697 32802 PG 3 32803 SC Telecommunications 32804 GA 196YW 32805 UT ISI:000248520600019 32806 ER 32807 32808 PT J 32809 AU Nikolic, MI 32810 Sarter, NB 32811 AF Nikolic, Mark I. 32812 Sarter, Nadine B. 32813 TI Flight deck disturbance management: A simulator study of diagnosis and 32814 recovery from breakdowns in pilot-automation coordination 32815 SO HUMAN FACTORS 32816 LA English 32817 DT Article 32818 ID ATTENTION ALLOCATION; INDEPENDENT AGENT; EVENT-DRIVEN; TEAM PLAY; 32819 POWERFUL; PERFORMANCE; STRATEGIES; FEEDBACK; SYSTEMS; ERRORS 32820 AB Objective: To examine operator strategies for diagnosing and recovering 32821 from errors and disturbances as well as the impact of automation design 32822 and time pressure on these processes. Background: Considerable efforts 32823 have been directed at error prevention through training and design. 32824 However, because errors cannot be eliminated completely, their 32825 detection, diagnosis, and recovery must also be supported. Research has 32826 focused almost exclusively on error detection. Little is known about 32827 error diagnosis and recovery, especially in the context of event-driven 32828 tasks and domains. Method: With a confederate pilot, 12 airline pilots 32829 flew a 1-hr simulator scenario that involved three challenging 32830 automation-related tasks and events that were likely to produce 32831 erroneous actions or assessments. Behavioral data were compared with a 32832 canonical path to,examine pilots' error and disturbance management 32833 strategies. Debriefings were conducted to probe pilots' system 32834 knowledge. Results: Pilots seldom followed the canonical path to cope 32835 with the scenario events. Detection of a disturbance was often delayed. 32836 Diagnostic episodes were rare because of pilots' knowledge gaps and 32837 time criticality. In many cases, generic inefficient recovery 32838 strategies were observed, and pilots relied on high levels of 32839 automation to manage the consequences of an error. Conclusion. Our 32840 findings describe and explain the nature and shortcomings of pilots' 32841 error management activities. They highlight the need for improved 32842 automation training and design to achieve more timely detection, 32843 accurate explanation, and effective recovery from errors and 32844 disturbances. Application: Our findings can inform the design of tools 32845 and techniques that support disturbance management in various complex, 32846 event-driven environments. 32847 C1 Boeing Co, Seattle, WA 98124 USA. 32848 Univ Michigan, Ann Arbor, MI 48109 USA. 32849 RP Nikolic, MI, Boeing Co, POB 3707, Seattle, WA 98124 USA. 32850 EM mark.i.nikolic@boeing.com 32851 CR *BOEING COMM AIRPL, 2006, STAT SUMM COMM JET A 32852 AMALBERTI R, 1996, CONTROL HIGH RISK SY 32853 BOVE T, 2003, INT J APPL AVIATION, V3, P39 32854 DEKKER SWA, 2003, INT J AVIAT PSYCHOL, V13, P95 32855 HELMREICH RL, 2001, P 11 INT S AV PSYCH, P1 32856 HUTCHINS E, 1997, 2591 NCC NASA AM RES 32857 JACOBSEN A, 2000, SITUATION AWARE 0323 32858 JAMIESON GA, 2005, HUM FACTORS, V47, P12 32859 KANSE L, 2001, INT J COGNITIVE ERGO, V5, P199 32860 KEITH N, 2005, J APPL PSYCHOL, V90, P677 32861 KONTOGIANNIS T, 1997, RELIAB ENG SYST SAFE, V58, P233 32862 KONTOGIANNIS T, 1999, SAFETY SCI, V32, P49 32863 MUMAW RJ, 2004, P HCI AER 2004 CD RO 32864 NAIKAR N, 2003, COGNITION TECHNOLOGY, V5, P171 32865 NIKOLIC MI, 2001, HUM FACTORS, V43, P30 32866 NIKOLIC MI, 2003, P HUM FACT ERG SOC 4, P513 32867 NORMAN D, 1981, PSYCHOL REV, V88, P1 32868 NORMAN D, 1988, DESIGN EVERYDAY THIN 32869 PLAT M, 2000, COGNITIVE ENG AVIATI, P287 32870 REASON J, 1990, HUMAN ERROR 32871 SARTER NB, 1997, HDB HUMAN FACTORS ER, P1926 32872 SARTER NB, 1997, HUM FACTORS, V39, P553 32873 SARTER NB, 2000, HUM FACTORS, V42, P390 32874 SARTER NB, 2007, HUM FACTORS, V49, P347 32875 SCHAAF TW, 2000, HUMAN ERROR SYSTEM D, P27 32876 SKLAR AE, 1999, HUM FACTORS, V41, P543 32877 SPIRO RJ, 1988, P 10 ANN C COGN SCI, P375 32878 WIENER EL, 1993, 4547 NASA AM RES CTR 32879 WIOLAN L, 1998, P 9 EUR C COGN ERG, P13 32880 WOODS DD, 1981, P HUM FACT SOC 25 AN, P110 32881 WOODS DD, 1984, ERGONOMIC PROBLEMS P, P21 32882 WOODS DD, 1988, TASKS ERRORS MENTAL, P128 32883 WOODS DD, 1993, DECISION MAKING ACTI, P228 32884 WOODS DD, 1994, HUMAN ERROR COGNITIV 32885 WOODS DD, 1994, HUMAN FACTORS ALARM, P63 32886 ZAPF D, 1994, APPL PSYCHOL-INT REV, V43, P427 32887 NR 36 32888 TC 0 32889 PU HUMAN FACTORS SOC 32890 PI SANTA MONICA 32891 PA BOX 1369, SANTA MONICA, CA 90406 USA 32892 SN 0018-7208 32893 J9 HUM FACTORS 32894 JI Hum. Factors 32895 PD AUG 32896 PY 2007 32897 VL 49 32898 IS 4 32899 BP 553 32900 EP 563 32901 PG 11 32902 SC Behavioral Sciences; Ergonomics; Psychology, Applied; Psychology 32903 GA 192FX 32904 UT ISI:000248187300002 32905 ER 32906 32907 PT J 32908 AU Carpi, A 32909 Nicolini, A 32910 Marchetti, C 32911 Iervasi, G 32912 Antonelli, A 32913 Carpi, F 32914 AF Carpi, A. 32915 Nicolini, A. 32916 Marchetti, C. 32917 Iervasi, G. 32918 Antonelli, A. 32919 Carpi, F. 32920 TI Percutaneous large-needle aspiration biopsy histology of palpable 32921 thyroid nodules: technical and diagnostic performance 32922 SO HISTOPATHOLOGY 32923 LA English 32924 DT Article 32925 DE large needle biopsy; thyroid nodules 32926 ID RELIABLY DISTINGUISH BENIGN; GUIDED CORE BIOPSY; FINE-NEEDLE; 32927 PREOPERATIVE SELECTION; MICROFOLLICULAR NODULE; SUSPECTED CANCER; 32928 GALECTIN-3 IMMUNODETECTION; FOLLICULAR NEOPLASMS; MANAGEMENT; 32929 INDETERMINATE 32930 AB Aim: To report original and review existing data on safety and 32931 performance of large-needle aspiration biopsy (LNAB) histology in the 32932 preoperative selection of palpable thyroid nodule. 32933 Methods and results: The English literature and original data were 32934 reviewed or analysed. The literature on LNAB of thyroid nodules did not 32935 report any complications. A study on needle dimensions has explained 32936 why LNAB obtains more tissue than fine-needle aspiration (FNA) and is 32937 safe. LNAB histology has higher specificity than FNA cytology and 32938 markedly reduces the number of inadequate and indeterminate FNA 32939 findings. A comparison of 150 FNA-derived cell blocks with 200 32940 LNAB-derived histological blocks after galectin-3 determination in a 32941 large nationwide (Italian) study has shown that one to two sections in 32942 10% of the FNA cell blocks and at least five sections in 90% of the 32943 LNAB blocks were available for further determinations of thyroid tumour 32944 markers. 32945 Conclusion: LNAB merits further consideration for the preoperative 32946 selection of thyroid nodules. 32947 C1 Univ Hosp, Dept Reprod Aging, I-56126 Pisa, Italy. 32948 Univ Hosp Pisa, Dept Internal Med, Pisa, Italy. 32949 St Andrea Univ Hosp, Dept Pathol, Rome, Italy. 32950 CNR, Inst Clin Physiol, Pisa, Italy. 32951 Univ Pisa, Sch Engn, Interdept Res Ctr E Piaggio, Pisa, Italy. 32952 RP Carpi, A, Univ Hosp, Dept Reprod Aging, Via Roma 67, I-56126 Pisa, 32953 Italy. 32954 EM a.carpi@med.unipi.it 32955 CR *AACE AME, 2006, ENDOCRINE PRAC, V12, P64 32956 *AM THYR ASS, 2003, THYROID MONOGRAPHY, V13, P80 32957 BARTOLAZZI A, 2001, LANCET, V357, P1644 32958 BARTOLAZZI A, 2006, HISTOPATHOLOGY, V48, P212 32959 BLOCK MA, 1980, WORLD J SURG, V4, P737 32960 BLOCK MA, 1983, AM J SURG, V146, P72 32961 BOEY J, 1984, WORLD J SURG, V8, P458 32962 BURCH HB, 1995, ENDOCRIN METAB CLIN, V24, P663 32963 BURCH HB, 1996, ACTA CYTOL, V40, P1176 32964 BUSSOLATI G, 1982, J CLIN PATHOL, V35, P574 32965 CARPI A, 1981, ADV THYROID NEOPLASI, P293 32966 CARPI A, 1988, THYROIDOL CLIN EXP, V1, P35 32967 CARPI A, 1992, PROGR CLIN ONCOLOGY, P204 32968 CARPI A, 1994, THYROIDOL CLIN EXP, V6, P6 32969 CARPI A, 1996, J CLIN ONCOL, V14, P1704 32970 CARPI A, 1998, BIOMED PHARMACOTHER, V52, P303 32971 CARPI A, 1999, AM J CLIN ONCOL-CANC, V22, P499 32972 CARPI A, 1999, AM J CLIN ONCOL-CANC, V22, P65 32973 CARPI A, 2000, AM J CLIN PATHOL, V113, P872 32974 CARPI A, 2000, BIOMED PHARMACOTHER, V54, P350 32975 CARPI A, 2002, AM J CLIN ONCOL-CANC, V25, P209 32976 CARPI A, 2004, BIOMED PHARMACOTHER, V58, P351 32977 CARPI A, 2005, BIOMED PHARMACOTHER, V59, P517 32978 CARPI A, 2006, BRIT J CANCER, V95, P204 32979 CASTRO MR, 2003, ENDOCR PRACT, V9, P128 32980 CASTRO MR, 2005, ANN INTERN MED, V142, P926 32981 COLLET JF, 2005, BRIT J CANCER, V93, P1175 32982 CUSICK EL, 1990, BRIT MED J, V301, P318 32983 DANESE D, 1998, THYROID, V8, P15 32984 ESSELSTYN CB, 1978, WORLD J SURG, V2, P321 32985 FROST AR, 1998, CANCER CYTOPATHOL, V84, P17 32986 GASBARRI A, 2004, BIOMED PHARMACOTHER, V58, P356 32987 GHARIB H, 1993, ANN INTERN MED, V118, P282 32988 HAMBURGER JI, 1996, WERNER INGBARS THYRO, P447 32989 HAMBURGER JL, 1979, PATHOLOGICAL EVALUAT 32990 HARVEY JN, 2005, J CLIN ULTRASOUND, V33, P57 32991 HOOFT L, 2004, THYROID, V14, P287 32992 LIPPI G, 1995, J ENDOCRINOL INVEST, V18, P64 32993 LIU Q, 1995, AM SURGEON, V61, P628 32994 LOGERFO P, 1982, SURGERY, V92, P835 32995 LOGERFO P, 1989, DIAGNOSTIC METHODS C, P205 32996 LOGERFO P, 1994, THYROIDOL CLIN EXP, V6, P1 32997 MARTIN HE, 1930, ANN SURG, V92, P169 32998 MARUTA J, 2004, DIAGN CYTOPATHOL, V31, P392 32999 MCHENRY CR, 1993, AM SURGEON, V59, P415 33000 MECHANICK JI, 2004, ENDOCRINE SURG, P115 33001 MEHROTRA P, 2004, HISTOPATHOLOGY, V45, P493 33002 MEHROTRAL P, 2005, SURG-J R COLL SURG E, V3, P1 33003 MILLER JM, 1979, JAMA-J AM MED ASSOC, V241, P481 33004 MILLER JM, 1985, CANCER, V55, P2812 33005 MILLS LJ, 2005, CYTOPATHOLOGY, V16, P132 33006 NISHIYAMA RH, 1986, SURGERY, V100, P1133 33007 NOORDZIJ JP, 2005, AM J OTOLARYNG, V26, P398 33008 PISANI T, 2000, ANTICANCER RES, V20, P3843 33009 ROSSI ED, 2005, CANCER CYTOPATHOL, V105, P87 33010 SAGGIORATO E, 2004, J ENDOCRINOL INVEST, V27, P311 33011 SAGGIORATO E, 2005, ENDOCR-RELAT CANCER, V12, P305 33012 SCHMIDT T, 1997, SOUTHERN MED J, V90, P1183 33013 SILVERMAN JF, 1986, DIAGN CYTOPATHOL, V2, P25 33014 TAKI S, 1997, RADIOLOGY, V202, P874 33015 WANG CA, 1976, SURG GYNECOL OBSTET, V143, P365 33016 WITT RL, 2004, OTOLARYNG HEAD NECK, V131, P964 33017 YLAGAN LR, 2004, THYROID, V14, P35 33018 NR 63 33019 TC 0 33020 PU BLACKWELL PUBLISHING 33021 PI OXFORD 33022 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 33023 SN 0309-0167 33024 J9 HISTOPATHOLOGY 33025 JI Histopathology 33026 PD AUG 33027 PY 2007 33028 VL 51 33029 IS 2 33030 BP 249 33031 EP 257 33032 PG 9 33033 SC Cell Biology; Pathology 33034 GA 199XZ 33035 UT ISI:000248729800014 33036 ER 33037 33038 PT J 33039 AU Huang, HJ 33040 Shiffman, ML 33041 Friedman, S 33042 Venkatesh, R 33043 Bzowej, N 33044 Abar, OT 33045 Rowland, CM 33046 Catanese, JJ 33047 Leong, DU 33048 Sninsky, JJ 33049 Layden, TJ 33050 Wright, TL 33051 White, T 33052 Cheung, RC 33053 AF Huang, Honjin 33054 Shiffman, Mitchefl L. 33055 Friedman, Scott 33056 Venkatesh, Ramasubbu 33057 Bzowej, Natatie 33058 Abar, Ohvia T. 33059 Rowland, Charles M. 33060 Catanese, Joseph J. 33061 Leong, Diane U. 33062 Sninsky, John J. 33063 Layden, Thomas J. 33064 Wright, Teresa L. 33065 White, Thomas 33066 Cheung, Ramsey C. 33067 TI A 7 gene signature identifies the risk of developing cirrhosis in 33068 patients with chronic hepatitis C 33069 SO HEPATOLOGY 33070 LA English 33071 DT Article 33072 ID FIBROSIS PROGRESSION; NATURAL-HISTORY; VIRUS-INFECTION; LIVER FIBROSIS; 33073 ASSOCIATION; MANAGEMENT; BIOPSY; INDEX 33074 AB Clinical factors such as age, gender, alcohol use, and age-at-infection 33075 influence the progression to cirrhosis but cannot accurately predict 33076 the risk of developing cirrhosis in patients with chronic hepatitis C 33077 (CHC). The aim of this study was to develop a predictive signature for 33078 cirrhosis in Caucasian patients. All patients had well-characterized 33079 liver histology and clinical factors; DNA was extracted from whole 33080 blood for genotyping. We validated all significant markers from a 33081 genome scan in the training cohort, and selected 361 markers for the 33082 signature building. Using a "machine learning" approach, a signature 33083 consisting of markers most predictive for cirrhosis risk in Caucasian 33084 patients was developed in the training set (N = 420). The Cirrhosis 33085 Risk Score (CRS) was calculated to estimate the risk of developing 33086 cirrhosis for each patient. The CRS performance was then tested in an 33087 independently enrolled validation cohort of 154 Caucasian patients. A 33088 CRS signature consisting of 7 markers was developed for Caucasian 33089 patients. The area-under-the-ROC curves (AUC) of the CRS was 0.75 in 33090 the training cohort. In the validation cohort, AUC was only 0.53 for 33091 clinical factors, increased to 0.73 for CRS, and 0.76 when CRS and 33092 clinical factors were combined. A low CRS cutoff of < 0.50 to identify 33093 low-risk patients would misclassify only 10.3% of high-risk patients, 33094 while a high cutoff of > 0.70 to identify high-risk patients would 33095 misclassify 22.3% of low-risk patients. Conclusion: CRS is a better 33096 predictor than clinical factors in differentiating high-risk versus 33097 low-risk for cirrhosis in Caucasian CHC patients. Prospective studies 33098 should be conducted to further validate these findings. 33099 C1 Celera Diagnost, Alameda, CA 94502 USA. 33100 Virginia Commonwealth Univ, Richmond, VA 23284 USA. 33101 Mt Sinai Sch Med, New York, NY USA. 33102 Calif Pacific Med Ctr, San Francisco, CA USA. 33103 Univ Illinois, Chicago, IL 60680 USA. 33104 Univ Calif San Francisco, San Francisco, CA 94143 USA. 33105 Stanford Univ, Stanford, CA 94305 USA. 33106 RP Huang, HJ, Celera Diagnost, 1401 Harbor Bay Pkwy, Alameda, CA 94502 USA. 33107 EM hongjin.huang@celeradiagnostics.com 33108 CR *NAT I HLTH CONS D, 2002, HEPATOLOGY, V36, S3 33109 BEDOSSA P, 1994, HEPATOLOGY 1, V20, P15 33110 BRUNT EM, 2000, HEPATOLOGY, V31, P241 33111 CARDON LR, 2003, LANCET, V361, P598 33112 CASTERA L, 2005, GASTROENTEROLOGY, V128, P343 33113 DASH M, 2003, ARTIF INTELL, V151, P155 33114 DELONG ER, 1988, BIOMETRICS, V44, P837 33115 DIENSTAG JL, 2006, GASTROENTEROLOGY, V130, P231 33116 FAYYAD UM, 1993, P 13 INT JOINT C ART, P1022 33117 FRIEDMAN SL, 2000, J BIOL CHEM, V275, P2247 33118 GAN FY, 1992, EPITHELIAL CELL BIOL, V1, P13 33119 GRAHAM CS, 2001, CLIN INFECT DIS, V33, P562 33120 HUANG HJ, 2006, GASTROENTEROLOGY, V130, P1679 33121 LEVINE RA, 2006, CLIN GASTROENTEROL H, V4, P1271 33122 LIU H, 1996, 13 INT C MACH LEARN, P319 33123 MACHIDA K, 2006, J VIROL, V80, P866 33124 MACINTOSH E, 1992, HEPATOLOGY, V16, P1428 33125 MANNS MP, 2001, LANCET, V358, P958 33126 MARCELLIN P, 2002, HEPATOLOGY, V36, P47 33127 MONTO A, 2004, HEPATOLOGY, V39, P826 33128 MURAKAMI Y, 2000, BIOCHEM BIOPH RES CO, V267, P1 33129 POYNARD T, 1997, LANCET, V349, P825 33130 POYNARD T, 2003, J HEPATOL, V38, P257 33131 RAMESH S, 2004, SEMIN LIVER DIS, V24, P399 33132 SCHWABE RF, 2006, GASTROENTEROLOGY, V130, P1886 33133 SEKI E, 2005, HEPATOLOGY S1, V42, A265 33134 SKINNER HA, 1982, J STUD ALCOHOL, V43, P1157 33135 STRADER DB, 2004, HEPATOLOGY, V39, P1147 33136 WAI CT, 2003, HEPATOLOGY, V38, P518 33137 WIESE M, 2000, HEPATOLOGY, V32, P91 33138 WITTEN I, 2005, DATA MINING PRACTICA 33139 WRIGHT M, 2003, GUT, V52, P574 33140 YANG Q, 2005, INT J EPIDEMIOL, V4, P1129 33141 ZEUZEM S, 2000, NEW ENGL J MED, V343, P1666 33142 NR 34 33143 TC 0 33144 PU JOHN WILEY & SONS INC 33145 PI HOBOKEN 33146 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 33147 SN 0270-9139 33148 J9 HEPATOLOGY 33149 JI Hepatology 33150 PD AUG 33151 PY 2007 33152 VL 46 33153 IS 2 33154 BP 297 33155 EP 306 33156 PG 10 33157 SC Gastroenterology & Hepatology 33158 GA 196SF 33159 UT ISI:000248501600005 33160 ER 33161 33162 PT J 33163 AU Arocena, P 33164 Garcia-Prado, A 33165 AF Arocena, Pablo 33166 Garcia-Prado, Ariadna 33167 TI Accounting for quality in the measurement of hospital performance: 33168 evidence from Costa Rica 33169 SO HEALTH ECONOMICS 33170 LA English 33171 DT Article 33172 DE productivity; quality; Malmquist index; hospitals; Costa Rica 33173 ID GENERALIZED DISTANCE FUNCTION; SPANISH PUBLIC HOSPITALS; PRODUCTIVITY 33174 INDEX; EARLY READMISSION; INPATIENT CARE; EFFICIENCY; ASSOCIATION; 33175 COUNTRIES; OUTPUTS; REFORMS 33176 AB This paper provides insights into how Costa Rican public hospitals 33177 responded to the pressure for increased efficiency and quality 33178 introduced by the reforms carried out over the period 1997-2001. To 33179 that purpose we compute a generalized output distance function by means 33180 of non-parametric mathematical programming to construct a productivity 33181 index, which accounts for productivity changes while controlling for 33182 quality of care. Our results show an improvement in hospital 33183 performance mainly driven by quality increases. The adoption of 33184 management contracts seems to have contributed to such enhancement, 33185 more notably for small hospitals. Further, productivity growth is 33186 primarily due to technical and scale efficiency change rather than 33187 technological change. A number of policy implications are drawn from 33188 these results. Copyright (C) 2006 John Wiley & Sons, Ltd. 33189 C1 Univ Publ Navarra, Dept Gest Empresas, Pamplona 31006, Spain. 33190 World Bank, Washington, DC 20433 USA. 33191 RP Arocena, P, Univ Publ Navarra, Dept Gest Empresas, Campus Arrosadia, 33192 Pamplona 31006, Spain. 33193 EM pablo@unavarra.es 33194 CR *CCSS, 2003, SER EST SAL GER DIV 33195 *INEC, 2002, ENC HOG MOD SAL 33196 *WORLD BANK, 2002, COST RIC SOC SPEND P 33197 ABRAMSON WB, 2001, HEALTH POLICY PLANN, V16, P404 33198 ALTHIN R, 2001, J PROD ANAL, V16, P107 33199 AROCENA P, 2002, INT J IND ORGAN, V20, P41 33200 ASHTON CM, 1995, ANN INTERN MED, V122, P415 33201 ASHTON CM, 1997, MED CARE, V35, P1044 33202 BANKER RD, 1984, MANAGE SCI, V30, P1078 33203 BIORN E, 2003, HLTH CARE MANAGEMENT, V6, P271 33204 BJUREK H, 1996, SCAND J ECON, V98, P303 33205 CERCONE J, 2000, R418 INT AM DEV BANK 33206 CHAMBERS RG, 1996, J ECON THEORY, V70, P407 33207 CHAVAS JP, 1999, SOUTHERN ECON J, V66, P294 33208 CHUNG YH, 1997, J ENVIRON MANAGE, V51, P229 33209 DISMUKE C, 2002, ANN OPER RES, V107, P101 33210 DONABEDIAN A, 1980, DEFINITION QUALITY A, V1 33211 DRANOVE D, 2000, HDB HLTH EC A, V1, P1093 33212 EPSTEIN AM, 1991, INQUIRY-J HEALTH CAR, V28, P19 33213 FARE R, 1989, REV ECON STAT, V71, P90 33214 FARE R, 1994, PRODUCTION FRONTIERS 33215 FARE R, 2004, RESOUR ENERGY ECON, V26, P343 33216 FERRIER GD, 1996, J PROD ANAL, V7, P63 33217 FILMER D, 2000, WORLD BANK RES OBSER, V15, P199 33218 FORSUND FR, 1979, ECON J, V89, P294 33219 GARCIAPRADO A, 2006, HEALTH POLICY PLANN, V21, P91 33220 HERRERO F, 2001, 200101 PROC SER CUAD 33221 HOLLINGSWORTH B, 2003, HLTH CARE MANAGEMENT, V6, P203 33222 JACK W, 2003, HEALTH POLICY PLANN, V18, P195 33223 JACOBS R, 2001, HLTH CARE MANAGEMENT, V4, P103 33224 JACOBS R, 2002, HEALTH ECON, V12, P669 33225 KORNAI J, 2001, EUR ECON REV, V45, P1573 33226 LINNA M, 1998, HEALTH ECON, V7, P291 33227 LOVELL CAK, 1993, MEASUREMENT PRODUCTI 33228 LUDKE RL, 1993, INQUIRY-J HEALTH CAR, V30, P95 33229 MANIADAKIS N, 1999, HLTH CARE MANAGEMENT, V2, P75 33230 MCPAKE B, 2003, HEALTH POLICY PLANN, V18, P182 33231 PASTOR JT, 2005, ECON LETT, V88, P266 33232 PITCHES D, 2003, BRIT MED J, V327, P1436 33233 PUIGJUNOY J, 2004, HEALTH ECON, V13, P1149 33234 RODRIGUEZALVAREZ A, 2004, HEALTH ECON, V13, P157 33235 RODRIGUEZALVAREZ A, 2004, INT J PROD ECON, V92, P99 33236 SALAS A, 1997, WORLD HLTH, V50, P10 33237 SOJO A, 2000, REFORMAS GESTION SAL, V39 33238 SOLA M, 2001, FINANCIAL ACCOUNTABI, V3, P219 33239 TULKENS H, 1995, EUR J OPER RES, V80, P474 33240 VENTURA J, 2004, ANN PUBLIC COOPERATI, V75, P549 33241 ZOFIO JL, 2001, APPL ECON, V33, P1433 33242 ZOFIO JL, 2006, SPAN ECON REV, V8, P113 33243 NR 49 33244 TC 0 33245 PU JOHN WILEY & SONS LTD 33246 PI CHICHESTER 33247 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 33248 SN 1057-9230 33249 J9 HEALTH ECONOMICS 33250 JI Health Econ. 33251 PD JUL 33252 PY 2007 33253 VL 16 33254 IS 7 33255 BP 667 33256 EP 685 33257 PG 19 33258 SC Economics; Health Care Sciences & Services; Health Policy & Services 33259 GA 192FZ 33260 UT ISI:000248187500002 33261 ER 33262 33263 PT J 33264 AU Willcox, S 33265 Seddon, M 33266 Dunn, S 33267 Edwards, RT 33268 Pearse, J 33269 Tu, JV 33270 AF Willcox, Sharon 33271 Seddon, Mary 33272 Dunn, Stephen 33273 Edwards, Rhiannon Tudor 33274 Pearse, Jim 33275 Tu, Jack V. 33276 TI Measuring and reducing waiting times: A cross-national comparison of 33277 strategies 33278 SO HEALTH AFFAIRS 33279 LA English 33280 DT Article 33281 ID NEW-ZEALAND; SURGERY 33282 AB We compare strategies to manage surgical waiting times in Australia, 33283 Canada, England, New Zealand, and Wales to give policy insights into 33284 those that are most effective. Most of these countries have allocated 33285 dedicated funding and set explicit waiting time targets. Of the five 33286 countries, England has achieved the most sustained improvement, linked 33287 to major funding boosts, ambitious waiting-time targets, and a rigorous 33288 performance management system. While supply-side strategies are used in 33289 all five countries, New Zealand and parts of Canada have also invested 33290 in demand-side strategies through the use of clinical criteria to 33291 prioritize access to surgery. 33292 C1 Hlth Policy Solut, Middle Pk, Vic, Australia. 33293 Univ Auckland, Sch Populat Hlth, Auckland 1, New Zealand. 33294 Dept Hlth, London, England. 33295 Univ Wales, Ctr Econ & Policy Hlth, Inst Med & Social Care Res, Bangor, Gwynedd, Wales. 33296 Univ Wollongong, Ctr Hlth Serv Dev, Wollongong, NSW 2500, Australia. 33297 Univ Toronto, Inst Clin Evaluat Sci, Sunnybrook Hlth Sci Ctr, Toronto, ON, Canada. 33298 RP Willcox, S, Hlth Policy Solut, Middle Pk, Vic, Australia. 33299 EM sharon@healthpolicysolutions.com.au 33300 CR 2007, ONTARIO WAIT TI 0315 33301 *AUSTR GOV DEP HLT, 2006, STAT OUR PUBL HOSP J 33302 *CAN HLTH SERV RES, 2006, LINKS, V9, P4 33303 *CAN I HLTH INF, 2006, WAIT HLTH CAR CAN WH 33304 *NAT AUD OFF WAL, NHS WAIT TIM WAL, V2 33305 *NAT AUD OFF WAL, 2005, NHS WAIT TIM WAL, V1 33306 *NAT AUD OFF WAL, 2005, NHS WAIT TIM WAL, V2 33307 COLLINS SR, 2006, GAPS HLTH INSURANCE 33308 DENNETT ER, 1998, NEW ZEAL MED J, V111, P163 33309 DERRETT S, 1999, INT J QUAL HEALTH C, V11, P47 33310 DERRETT S, 2002, J HLTH SERV RES P S1, V7, P14 33311 DUCKETT SJ, 2005, AUST HLTH REV, V29, P87 33312 HADORN DC, 1997, BRIT MED J, V314, P131 33313 HURST J, 2003, 6 OECD 33314 JOHNSTON M, 2007, NZ HERALD 0129 33315 MAYS N, 2006, USE TARGETS IMPROVE 33316 SCHOEN C, 2002, COMP HLTH CARE SYSTE 33317 SEDDON ME, 1999, HEART, V81, P586 33318 SICILIANI L, 2004, OECD EC STUDIES, V38 33319 TU JV, 2005, ACCESS HLTH SERVICES 33320 NR 20 33321 TC 0 33322 PU PROJECT HOPE 33323 PI BETHESDA 33324 PA 7500 OLD GEORGETOWN RD, STE 600, BETHESDA, MD 20814-6133 USA 33325 SN 0278-2715 33326 J9 HEALTH AFFAIR 33327 JI Health Aff. 33328 PD JUL-AUG 33329 PY 2007 33330 VL 26 33331 IS 4 33332 BP 1078 33333 EP 1087 33334 PG 10 33335 SC Health Care Sciences & Services; Health Policy & Services 33336 GA 191GL 33337 UT ISI:000248119500020 33338 ER 33339 33340 PT J 33341 AU Wang, H 33342 Takizawa, H 33343 Kobayashi, H 33344 AF Wang, Hong 33345 Takizawa, Hiroyuki 33346 Kobayashi, Hiroaki 33347 TI A dependable Peer-to-Peer computing platform 33348 SO FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID 33349 COMPUTING THEORY METHODS AND APPLICATIONS 33350 LA English 33351 DT Article 33352 DE Peer-to-Peer; workflow management; redundant task dispatch; runtime 33353 optimization 33354 ID ARCHITECTURE 33355 AB This paper discusses a dependable and widely applicable Peer-to-Peer 33356 (P2P) computing platform. As the existing P2P computing platforms are 33357 limited due to the lack of support for various computational models, 33358 this paper proposes a workflow management mechanism to support task 33359 dependency in parallel programs while increasing computing efficiency. 33360 In general, task dependency leads to a serious performance degradation 33361 for failed task re-execution because of volatile peers. Therefore, it 33362 results in low dependability. Here, dependability is defined as a 33363 comparison of the actual performance with task failures to the 33364 theoretical one without failure on a P2P computing platform. Redundant 33365 task dispatch and a ruintime optimization method are proposed to 33366 guarantee high dependability even with highly volatile peers. 33367 Large-scale simulation results indicate that the computing platform 33368 efficiently solves the problem of P2P computing due to volatile peers. 33369 (c) 2007 Elsevier B.V. All rights reserved. 33370 C1 Tohoku Univ, Informat Synergy Ctr, Sendai, Miyagi 9808578, Japan. 33371 Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi 9808579, Japan. 33372 RP Kobayashi, H, Tohoku Univ, Informat Synergy Ctr, Sendai, Miyagi 33373 9808578, Japan. 33374 EM koba@isc.tohoku.ac.jp 33375 CR ABAWAJY JH, 2004, 18 INT PAR DISTR PRO 33376 AMIN K, 2004, P 37 ANN HAW INT C S 33377 ANDERSON DP, 2002, COMMUN ACM, V45, P56 33378 ANDERSON DP, 2003, PUBLIC COMPUTING REC 33379 ANDERSON DP, 2004, P 5 IEEE ACM INT WOR, P4 33380 ANDERSON DP, 2006, P ACM IEEE SC2006 C 33381 BHATIA D, 1997, CONCURRENCY-PRACT EX, V9, P555 33382 BIVENS HP, 2001, GRID WORKKFLOW GRID 33383 CAO J, 2003, P 3 IEEE ACM INT S C, P198 33384 CAPPELLO F, 2005, FUTURE GENER COMP SY, V21, P417 33385 CHIEN A, 2003, J PARALLEL DISTR COM, V63, P597 33386 DJILALI S, 2003, P 3 IEEE ACM INT S C, P406 33387 FURMENTO N, 2001, P 2001 ACM IEEE C SU, P30 33388 GANNON D, 2002, CLUSTER COMPUT, V5, P325 33389 GONG L, 2001, IEEE INTERNET COMPUT, V5, P88 33390 HWANG S, 2003, J GRID COMPUTING, V1, P251 33391 LITKE A, 2007, FUTURE GENER COMP SY, V23, P163 33392 LORCH M, 2002, P 2 IEEE ACM INT S C, P136 33393 LUTHER A, 2005, INT C INT COMP, P269 33394 NEUBAUER F, 2006, FUTURE GENER COMP SY, V22, P6 33395 SATO M, 1997, P HPCN 97, P491 33396 SATO M, 2003, P CCGRID 2003, P206 33397 VERBEKE J, 2002, P 3 INT WORKSH GRID, P1 33398 YU J, 2005, J GRID COMPUTING, V3, P171 33399 NR 24 33400 TC 0 33401 PU ELSEVIER SCIENCE BV 33402 PI AMSTERDAM 33403 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 33404 SN 0167-739X 33405 J9 FUTURE GENER COMPUT SYST 33406 JI Futur. Gener. Comp. Syst. 33407 PD NOV 33408 PY 2007 33409 VL 23 33410 IS 8 33411 BP 939 33412 EP 955 33413 PG 17 33414 SC Computer Science, Theory & Methods 33415 GA 202WL 33416 UT ISI:000248934800003 33417 ER 33418 33419 PT J 33420 AU Holmstrom, N 33421 Ihonen, J 33422 Lundblad, A 33423 Lindbergh, G 33424 AF Holmstrom, N. 33425 Ihonen, J. 33426 Lundblad, A. 33427 Lindbergh, G. 33428 TI The influence of the gas diffusion layer on water management in polymer 33429 electrolyte fuel cells 33430 SO FUEL CELLS 33431 LA English 33432 DT Article 33433 DE flooding; gas diffusion layer; membrane hydration; polymer electrolyte 33434 fuel cell; water management 33435 ID PERFORMANCE; PEFC; BACKING; MEDIA 33436 AB Performance losses due to flooding of gas diffusion layers (GDLs) and 33437 flow fields as well as membrane dehydration are two of the major 33438 problems in PEFC. In this investigation, the effect of GDL on the cell 33439 water management in PEFC is studied using segmented and single cell 33440 experiments. The behaviour of four different commercial GDLs was 33441 investigated at both high and low inlet humidity conditions by 33442 galvanostatic fuel cell experiments. The influence of varying reactant 33443 humidity and gas composition was studied. The results at high inlet 33444 humidity show that none of the studied GDLs are significantly flooded 33445 on the anode side. On the other hand, when some of the GDLs are used on 33446 the cathode side they are flooded, leading to increased mass transfer 33447 losses. The results at low inlet humidity conditions show that the 33448 characteristics of the GDL influence the membrane hydration. It is also 33449 shown that inlet humidity on the anode side has a major effect on 33450 flooding at the cathode. 33451 C1 KTH Chem Sci & Engn, SE-10044 Stockholm, Sweden. 33452 VTT Tech Res Ctr Finland, Espoo 02044, Finland. 33453 RP Holmstrom, N, KTH Chem Sci & Engn, Teknikringen 42, SE-10044 Stockholm, 33454 Sweden. 33455 EM nicklas.holmstrom@ket.kth.se 33456 CR HE WS, 2003, AICHE J, V49, P3221 33457 IHONEN J, 2004, J ELECTROCHEM SOC, V151, A1152 33458 LIM C, 2004, ELECTROCHIM ACTA, V49, P4149 33459 LIU ZX, 2005, J POWER SOURCES, V141, P205 33460 NAM JH, 2003, INT J HEAT MASS TRAN, V46, P4595 33461 NOPONEN M, 2004, J APPL ELECTROCHEM, V34, P255 33462 PASAOGULLARI U, 2005, J ELECTROCHEM SOC, V152, A1574 33463 PASAOGULLARI U, 2005, J ELECTROCHEM SOC, V152, A380 33464 PRASANNA M, 2004, J POWER SOURCES, V131, P147 33465 SCHNEIDER IA, 2005, ELECTROCHEM COMMUN, V7, P1393 33466 SONG JM, 2005, ELECTROCHEMISTRY, V73, P189 33467 WEBER AZ, 2005, J ELECTROCHEM SOC, V152, A667 33468 NR 12 33469 TC 0 33470 PU WILEY-V C H VERLAG GMBH 33471 PI WEINHEIM 33472 PA PO BOX 10 11 61, D-69451 WEINHEIM, GERMANY 33473 SN 1615-6846 33474 J9 FUEL CELLS 33475 JI Fuel Cells 33476 PD AUG 33477 PY 2007 33478 VL 7 33479 IS 4 33480 BP 306 33481 EP 313 33482 PG 8 33483 SC Electrochemistry; Energy & Fuels 33484 GA 201QZ 33485 UT ISI:000248849000007 33486 ER 33487 33488 PT J 33489 AU Velayutham, G 33490 Kaushik, J 33491 Rajalakshmi, N 33492 Dhathathreyan, KS 33493 AF Velayutham, G. 33494 Kaushik, J. 33495 Rajalakshmi, N. 33496 Dhathathreyan, K. S. 33497 TI Effect of PTFE content in gas diffusion media and microlayer on the 33498 performance of PEMFC tested under ambient pressure 33499 SO FUEL CELLS 33500 LA English 33501 DT Article 33502 DE gas diffusion; impedance spectroscopy; PEMFC; PTFE content 33503 ID FUEL-CELLS; WATER MANAGEMENT; LAYER; POROSITY; CATHODE 33504 AB Polytetrafluoroethylene (PTFE) content in the fuel cell electrode plays 33505 an important role on the performance of polymer electrolyte membrane 33506 fuel cell (PEMFC) when the cell is tested under low temperature and 33507 under ambient pressure. PTFE is added to the PEM fuel cell electrode to 33508 improve the mechanical strength and to help in removing the product 33509 water formed on the cathode; however, higher PTFE loading increases the 33510 resistance and thus decreases the performance of the cell and very low 33511 PTFE content has the disadvantage of water flooding in long-term 33512 operation. We have investigated the effect of the PTFE content in the 33513 gas diffusion media (carbon paper) and in the microlayer on the 33514 performance of PEMFC operating at ambient pressure. The PTFE contents 33515 in these two layers have to be finely matched to get the best 33516 performance of the cells. The polarisation behaviour, electrochemical 33517 surface area and the electrochemical impedance spectra have been 33518 analysed. The results are presented in this paper. 33519 C1 ARC Int, CFCT, Madras 601302, Tamil Nadu, India. 33520 RP Velayutham, G, ARC Int, CFCT, 120 Manbakkam Main Rd, Madras 601302, 33521 Tamil Nadu, India. 33522 EM velyuthamg@sify.com 33523 CR ESCRIBANO S, 2006, J POWER SOURCES, V156, P8 33524 FISCHER A, 1998, J APPL ELECTROCHEM, V28, P277 33525 GIORGI L, 1998, ELECTROCHIM ACTA, V43, P3675 33526 GOTTESFELD S, 1997, POLYM ELECTROLYTE FU, P195 33527 IHONEN J, 2004, J ELECTROCHEM SOC, V151, P1152 33528 KONG CS, 2002, J POWER SOURCES, V108, P185 33529 LEE HK, 2004, J POWER SOURCES, V131, P200 33530 NAM JH, 2003, INT J HEAT MASS TRAN, V46, P4595 33531 PRASANNA M, 2004, J POWER SOURCES, V131, P147 33532 QI ZG, 2002, J POWER SOURCES, V109, P38 33533 THOBEN B, 2004, J NEW MAT ELECTR SYS, V7, P13 33534 WILLIAMS MV, 2004, J ELECTROCHEM SOC, V151, A1173 33535 NR 12 33536 TC 0 33537 PU WILEY-V C H VERLAG GMBH 33538 PI WEINHEIM 33539 PA PO BOX 10 11 61, D-69451 WEINHEIM, GERMANY 33540 SN 1615-6846 33541 J9 FUEL CELLS 33542 JI Fuel Cells 33543 PD AUG 33544 PY 2007 33545 VL 7 33546 IS 4 33547 BP 314 33548 EP 318 33549 PG 5 33550 SC Electrochemistry; Energy & Fuels 33551 GA 201QZ 33552 UT ISI:000248849000008 33553 ER 33554 33555 PT J 33556 AU Kocak-Enturk, E 33557 Yetilmezsoy, K 33558 Ozturk, M 33559 AF Kocak-Enturk, Emel 33560 Yetilmezsoy, Kaan 33561 Ozturk, Mustafa 33562 TI A small-scale biogas digester model for hen manure treatment: 33563 Evaluation and suggestions 33564 SO FRESENIUS ENVIRONMENTAL BULLETIN 33565 LA English 33566 DT Article 33567 DE fixed-dome biogas reactor; hen manure; biogas plants; renewable energy 33568 ID UASB REACTORS; ANAEROBIC-DIGESTION; HILLY CONDITIONS; CATTLE MANURE; 33569 PERFORMANCE EVALUATION; SWINE WASTE; DOME; PLANTS; TEMPERATURE; JANATA 33570 AB In this case study, a small-scale biogas plant in treatment of manure 33571 wastes was proposed for a hen farm (Dortler Farm on Ankara Highway in 33572 Corum city of Turkey) selected as model pilot plant. A fixed-dome 33573 Chinese model biogas reactor (FDCMBR) having a digester volume of 280 33574 m(3) was found to be appropriate in treatment of hen manure wastes. 33575 Calculations based on design criteria and literature data were 33576 presented. The proposed biogas plant was designed for local 33577 possibilities, and low cost conditions based on local information and 33578 experimental studies given in the literature. In Corum city, the total 33579 daily biogas production (about 7625 in 3 day(-1)) can be provided from 33580 individual biogas plants, operating at 58 active hen farms having 33581 different waste loads. By considering the population of Corum city 33582 (161000 people), this total production was estimated to compensate the 33583 daily requirements of 290 families (5 members) including heating, 33584 cooking, cooling and lighting. The number of people who make use of 33585 this biogas energy (1452 people) was found to be equal to approximately 33586 1% of the total population of Corum city. In this case study, revenues 33587 and expenditures (R&E) were also estimated for the proposed FDCMBR. The 33588 R&E analysis showed that revenues that can be provided from selling of 33589 stabilized manure were estimated to be E 15500 per year. This value was 33590 found to be nearly equal to total operating and construction 33591 expenditures of the proposed biogas plant. Moreover, results of some 33592 experimental studies including projection criteria were also presented. 33593 More importantly, this case study is expected to provide a useful 33594 background and a scientific contribution in manure management for rural 33595 areas of Turkey. 33596 C1 Yildiz Tech Univ, Dept Environm Engn, Fac Civil Engn, TR-34349 Istanbul, Turkey. 33597 RP Yetilmezsoy, K, Yildiz Tech Univ, Dept Environm Engn, Fac Civil Engn, 33598 TR-34349 Istanbul, Turkey. 33599 EM yetilmez@yildiz.edu.tr 33600 CR *FAO, 1996, BIOG TECHN TRAIN MAN 33601 *ITDG, 2002, BIOG LIQ FUELS TECHN 33602 *TURKSTAT, 2005, NUMB AN KIND 33603 CASTRILLON L, 2002, WASTE MANAGE RES, V20, P350 33604 CHOWDHURY SA, 1999, BIODIGESTER EFFLUENT 33605 CONVERSE JC, 1977, 774051 AM SOC AGR EN 33606 DEMIRER GN, 2005, WORLD J MICROB BIOT, V21, P1509 33607 GRIPENTROG HW, 2005, ECOLOGICAL AGR, V1 33608 GUPTA R, 1988, ENERGY CONVERSION MA, V28, P53 33609 JAYASHANKAR BC, 1989, INT J ENERG RES, V13, P193 33610 KALIA AK, 1988, BIOMASSS, V16, P225 33611 KALIA AK, 1989, BIOL WASTE, V30, P217 33612 KALIA AK, 1996, ENERG SOURCE, V18, P283 33613 KALIA AK, 1998, BIORESOURCE TECHNOL, V65, P61 33614 KALIA AK, 2004, ENERG SOURCE, V26, P707 33615 KALYUZHNYI S, 1998, BIORESOURCE TECHNOL, V65, P221 33616 KANWAR SS, 1994, BIORESOURCE TECHNOL, V50, P239 33617 KARKI AB, 2000, LATRINE CUM BIOGAS P 33618 KHOIYANGBAM RS, 2004, BIORESOURCE TECHNOL, V95, P35 33619 KISHOR J, 1988, INT J ENERG RES, V12, P711 33620 KISHORE VVN, 1989, BIOL WASTES, V30, P199 33621 KISHORE VVN, 1989, INT J AMBIENT ENERGY, V19, P199 33622 KOCAKENTURK E, 2004, THESIS YILDIZ TECHNI 33623 KOSSMAN W, 1999, DTSCH GESELLSCHAFT T, V1 33624 KOTTNER M, 2001, BIOGAS AGR IND POTEN 33625 LO KV, 1994, BIORESOURCE TECHNOL, V47, P153 33626 LUSK PD, 2003, BIOCYCLE, V44, P55 33627 MARANON E, 2001, WASTE MANAGE RES, V19, P436 33628 MASSE DI, 1996, CAN J CIVIL ENG, V23, P1285 33629 MEHER KK, 1990, RES IND, V35, P115 33630 NELSON C, 2002, FINAL HAUBENSCHILD F 33631 NIELSEN HB, 2004, BIOTECHNOL BIOENG, V86, P291 33632 NIENHUYS S, 2003, CONSTRUCTION OPTIONS 33633 RAHEMAN H, 2002, AGR ENG DIVISION, V83, P10 33634 RAHESH DR, INEXPENSIVE SOLAR HE 33635 RAMAN P, 1988, SESI J, V2, P13 33636 RAMAN P, 1989, BIOL WASTES, V30, P261 33637 REHLING U, 2001, SMALL BIOGAS PLANTS 33638 SASSE L, 1988, BRAUNSCHWEIG 33639 SINGH D, 1985, INT J ENERG RES, V9, P417 33640 SINGH PP, 1998, ENERG CONVERS MANAGE, V39, P51 33641 SINGH SP, 1997, BIORESOURCE TECHNOL, V59, P69 33642 SODHA MS, 1989, INT J ENERG RES, V13, P621 33643 SUNG S, 2001, TAMKANG J SCI ENG, V4, P301 33644 TIWARI GN, 1992, ENERGY, V17, P995 33645 VIJAYARAGHAVAN K, 2003, CONVERSION URBAN WAS, V10, P34 33646 WELLINGER A, 1999, PROCESS DESIGN AGR D 33647 ZHANG RH, 1997, T ASAE, V40, P761 33648 NR 48 33649 TC 0 33650 PU PARLAR SCIENTIFIC PUBLICATIONS (P S P) 33651 PI FREISING 33652 PA ANGERSTR. 12, 85354 FREISING, GERMANY 33653 SN 1018-4619 33654 J9 FRESEN ENVIRON BULL 33655 JI Fresenius Environ. Bull. 33656 PY 2007 33657 VL 16 33658 IS 7 33659 BP 804 33660 EP 811 33661 PG 8 33662 SC Environmental Sciences 33663 GA 197QW 33664 UT ISI:000248571800015 33665 ER 33666 33667 PT J 33668 AU Newton, RF 33669 Amponsah, IG 33670 AF Newton, R. F. 33671 Amponsah, I. G. 33672 TI Comparative evaluation of five height-diameter models developed for 33673 black spruce and jack pine stand-types in terms of goodness-of-fit, 33674 lack-of-fit and predictive ability 33675 SO FOREST ECOLOGY AND MANAGEMENT 33676 LA English 33677 DT Article 33678 DE Chapman-Richards-based and allometric-based models; multivariate 33679 expansion of the equation of simple allometry; relative error; bias and 33680 prediction error tolerance intervals; bootstrapping; bisector 33681 regression; potential utility 33682 ID DENSITY MANAGEMENT DIAGRAMS; LINEAR-REGRESSION; PLANTATIONS; GROWTH; 33683 YIELD; TREE; DISTRIBUTIONS; ASTRONOMY; UTILITY 33684 AB The objective of this study was to comparatively evaluate five 33685 nonlinear models on their ability to describe the relationship between 33686 total height (H; m) and diameter at breast-height (D; cm) within six 33687 commercially-important boreal stand-types. Specifically, the five 33688 models evaluated were as follows: (1) the constrained (i.e., H = 1.3 33689 when D = 0) Chapman-Richards-based model proposed by Peng, Zhang and 33690 Liu [Peng, C., Zhang, L, Liu, L., 2001. Developing and validating 33691 nonlinear height-diameter models for major species of Ontario's boreal 33692 forests. NJAF 18, 87-94; denoted Model 1] which excludes consideration 33693 of stand-level effects; (2 and 3) the constrained 33694 Chapman-Richards-based models proposed by Sharma and Zhang [Sharma, M., 33695 Zhang, S.Y., 2004. Height-diameter models using stand characteristics 33696 for Pinus banksiana and Picea mariana. Scand. J. For. Res. 19, 442-451; 33697 denoted Models 2 and 3] which includes consideration of stand-level 33698 density effects through the explicit inclusion of density-based 33699 predictor variables (density (N; stems/ha) and basal area (G; 33700 m(2)/ha)); and (4 and 5) constrained and unconstrained allometric-based 33701 models (denoted Models 4 and 5, respectively) derived from a 33702 multivariate expansion of the equation of simple allometry which 33703 includes consideration of stand-level effects via the explicit 33704 inclusion of density and stand developmental predictor variables 33705 (relative density index (R; %/100) and mean dominant height (H-D; m), 33706 respectively). The six stand-types considered were (I and 2) natural 33707 (density unregulated) and managed (density regulated) upland black 33708 spruce (Picea mariana (Mill.) B.S.P.) stands (denoted PIm(UL(N)) and 33709 PIm(UL(m)), respectively), (3 and 4) natural and managed jack pine 33710 (Pinus banksiana Lamb.) stands (denoted PNb(N) and PNb(M), 33711 respectively), (5) natural black spruce-jack pine mixed stands (denoted 33712 PImPNb((N))), and (6) natural lowland black spruce stands (denoted 33713 PIMLL(N)). The full dataset, consisting of 26741 H-D measurements and 33714 associated stand-level variables (N, G, R and H-D) obtained from 985 33715 sample plots situated throughout the central portion of the Canadian 33716 Boreal Forest Region, was randomly subdivided into calibration and 33717 validation subsets of approximately equal size by stand-type. Parameter 33718 estimates for each model were obtained using the calibration subsets in 33719 combination with nonlinear regression (Models 1-3) and multiple 33720 regression (Models 4 and 5) analyses. Employing the validation subsets, 33721 the calibrated models were evaluated using goodness-of-fit, lack-of-fit 33722 and prediction error indices at both the diameter class and stand 33723 levels. The results indicated that the best performing models were as 33724 follows: (1) Model 3 for PIm(UL(N)); (2) Model 5 for PIm(UL(M)); (3) 33725 Model 4 for PNb(N); (4) Model 5 for PNb(M); (5) Model 2 for 33726 PImPNb((N)); and (6) Model 5 for PIm(LL(N)). 33727 Collectively, these results (1) reconfirms the utility of explicitly 33728 incorporating stand-level variables within the model specification when 33729 developing H-D models, (2) demonstrates the superiority of the newly 33730 introduced allometric-based H-D composite model which incorporates both 33731 stand density and developmental effects for four of the six stand-types 33732 assessed, and (3) provides a suite of calibrated functions and 33733 associated performance metrics for potential use in product recovery 33734 and value estimation, stand structural analyses, growth and yield 33735 projection systems, and crbon budgeting models. Furthermore, given the 33736 success of the allometric-based models derived from the multivariate 33737 expansion of the equation of simple allometry, suggests that this 33738 modeling approach may have wider applicability in the (1) development 33739 of prediction equations for other important dimensional relationships 33740 used in forest management (e.g., localizing stem taper, volume and 33741 biomass equations) and (2) study of allometry in general (e.g., provide 33742 analytical direction in the assessment of population-level effects on 33743 allometric scaling relationships). Crown Copyright (c) 2007 Published 33744 by Elsevier B.V. All rights reserved. 33745 C1 Nat Resources Canada, Canadian Forest Serv, Canadian Wood Fibre Ctr, Sault Ste Marie, ON P6A 2E5, Canada. 33746 NorthWind Land Resources Inc, Edmonton, AB T6H 1G9, Canada. 33747 RP Newton, RF, Nat Resources Canada, Canadian Forest Serv, Canadian Wood 33748 Fibre Ctr, 1219 Queen St E, Sault Ste Marie, ON P6A 2E5, Canada. 33749 CR ANDO T, 1962, B GOVT FOREST EXPT S, V147 33750 ANDO T, 1968, B GOVT FOREST EXPT S, V210 33751 AVERY TE, 2002, FOREST MEASUREMENTS 33752 BABU GJ, 1992, COMMUN STAT SIMULATI, V21, P533 33753 BASKERVILLE GL, 1972, CAN J FOREST RES, V2, P49 33754 DRAPER NR, 1981, APPL REGRESSION ANAL 33755 DREW TJ, 1977, FOREST SCI, V23, P517 33756 DREW TJ, 1979, FOREST SCI, V25, P518 33757 EFRON B, 1986, STAT SCI, V1, P54 33758 EK AR, 1979, CAN J FOREST RES, V9, P231 33759 FEIGELSON ED, 1992, ASTROPHYS J 1, V397, P55 33760 GRIBKO LS, 1992, COMPILER, V10, P48 33761 HONER TG, 1983, MX140 GOVT CAN DEP A 33762 HYINK DM, 1983, FOREST SCI, V29, P85 33763 ISOBE T, 1990, ASTROPHYS J, V364, P104 33764 JACK SB, 1996, FOREST ECOL MANAG, V86, P205 33765 JOLLIFFE PA, 1988, ANN BOT, V62, P31 33766 LIU CM, 2005, CAN J FOREST RES, V35, P930 33767 MALLOWS CL, 1973, TECHNOMETRICS, V15, P661 33768 MEYER JS, 1986, ECOLOGY, V67, P1156 33769 NETER J, 1990, APPL LINEAR STAT MOD 33770 NEWTON PF, 1993, FOREST CHRON, V69, P421 33771 NEWTON PF, 1997, FOREST ECOL MANAG, V98, P251 33772 NEWTON PF, 1998, NORTH J APPL FOR, V15, P94 33773 NEWTON PF, 2003, COMPUT ELECTRON AGR, V38, P45 33774 NEWTON PF, 2004, FOREST CHRON, V80, P349 33775 NEWTON PF, 2005, FOREST ECOL MANAG, V209, P181 33776 NEWTON PF, 2006, ECOL MODEL, V190, P190 33777 NEWTON PF, 2006, FOREST ECOL MANAG, V226, P49 33778 PENG C, 2001, NORTH J APPL FOR, V18, P87 33779 PETTERSSON N, 1993, SCAND J FOR RES, V8, P528 33780 REYNOLDS MR, 1984, FOREST SCI, V30, P454 33781 REYNOLDS MR, 1988, FOREST SCI, V34, P373 33782 ROWE JS, 1972, GOVT CANADA PUBLICAT, V1300 33783 SHARMA M, 2004, SCAND J FOREST RES, V19, P442 33784 SMITH NJ, 1989, FOREST ECOL MANAG, V27, P235 33785 STURTEVANT BR, 1996, FOREST ECOL MANAG, V87, P13 33786 TERMIKAELIAN MT, 1997, FOREST ECOL MANAG, V97, P1 33787 WHITE J, 1981, J THEOR BIOL, V89, P475 33788 NR 39 33789 TC 0 33790 PU ELSEVIER SCIENCE BV 33791 PI AMSTERDAM 33792 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 33793 SN 0378-1127 33794 J9 FOREST ECOL MANAGE 33795 JI For. Ecol. Manage. 33796 PD AUG 15 33797 PY 2007 33798 VL 247 33799 IS 1-3 33800 BP 149 33801 EP 166 33802 PG 18 33803 SC Forestry 33804 GA 200UD 33805 UT ISI:000248787400016 33806 ER 33807 33808 PT J 33809 AU Walshe, T 33810 Wintle, B 33811 Fidler, F 33812 Burgman, M 33813 AF Walshe, Terry 33814 Wintle, Brendan 33815 Fidler, Fiona 33816 Burgman, Mark 33817 TI Use of confidence intervals to demonstrate performance against forest 33818 management standards 33819 SO FOREST ECOLOGY AND MANAGEMENT 33820 LA English 33821 DT Article 33822 DE forest management standards; monitoring; performance communication; 33823 type I and type II error; statistical power; confidence intervals 33824 ID STATISTICAL POWER; CONSERVATION; IMPACT 33825 AB The objective of continuous improvement embedded in forest management 33826 standards relies on the capacity of management to respond appropriately 33827 to evidence of performance provided by monitoring. This evidence is 33828 rarely unequivocal. Under a null hypothesis of no effect, two kinds of 33829 errors in interpretation are possible-inferring an effect where none 33830 exists (Type I error) and inferring no effect when in fact one exists 33831 (Type II error). If the monitoring relates to possible improvement in 33832 growth or yield then a Type I error leads to false optimism and a Type 33833 II error to false pessimism. If monitoring concerns a potential 33834 environmental or social impact, a Type I error implies alarmism and a 33835 Type II error a false sense of security. 33836 Explicit consideration of statistical power in designing and 33837 interpreting monitoring data is an effective buffer against these 33838 errors. However, strict application of statistical power may be 33839 impractical. In particular, the requirement to specify tolerable error 33840 rates and effect sizes will be difficult in many circumstances where 33841 the perspectives of managers, auditors or stakeholders are contested or 33842 perceived to be arbitrary or vague. We advocate the use of confidence 33843 intervals as an alternative to power calculations. Confidence intervals 33844 offer an accessible approach to communicating performance under a 33845 standard and the extent to which a monitoring program is able to 33846 distinguish compliance from noncompliance. We illustrate these 33847 arguments and tools through a hypothetical example involving a proposed 33848 change in silviculture where the magnitude of gains in yield and 33849 environmental impacts are unclear. (c) 2007 Elsevier B.V. All rights 33850 reserved. 33851 C1 Univ Melbourne, Sch Bot, Melbourne, Vic 3010, Australia. 33852 RP Walshe, T, Univ Melbourne, Sch Bot, Melbourne, Vic 3010, Australia. 33853 EM twalshe@unimelb.edu.au 33854 CR 1999, CRITERIA INDICATORS 33855 *ANZECC ARCMANZ, 2000, AUSTR GUID WAT QUAL 33856 *AS NZS, 2004, RISK MAN 33857 *AUSTR FOR STAND S, 2003, INT AUSTR STAND AUST 33858 *FSC, 2000, FSCSTD01001 33859 *ICE FIA, 1998, RAMP RISK AN MAN PRO 33860 *ISO, 1998, 14971 ISO 33861 BOCKING S, 2004, NATURES EXPERTS SCI 33862 BURGMAN MA, 1998, PN98803 FOR WOOD PRO 33863 BURGMAN MA, 2005, RISKS DECISIONS CONS 33864 CROWLEY PH, 1992, ANNU REV ECOL SYST, V23, P405 33865 DISTEFANO J, 2001, FOREST ECOL MANAG, V154, P141 33866 DISTEFANO J, 2003, FUNCT ECOL, V17, P707 33867 DISTEFANO J, 2004, FOREST ECOL MANAG, V187, P173 33868 DISTEFANO J, 2005, NEW TRENDS ECOLOGY R, P71 33869 FAIRWEATHER PG, 1991, AUST J MAR FRESH RES, V42, P555 33870 FIDLER F, 2006, CONSERV BIOL, V20, P1539 33871 FIDLER F, 2006, THESIS U MELBOURNE 33872 FIELD SA, 2004, ECOL LETT, V7, P669 33873 FISCHER F, 2000, CITIZENS EXPERTS ENV 33874 FOSTER JR, 2001, FOREST ECOL MANAG, V151, P211 33875 FOWLER J, 1998, PRACTICAL STAT FIELD 33876 GARDNER MJ, 2000, STAT CONFIDENCE CONF 33877 HART B, 2005, ECOLOGICAL RISK MANA 33878 HOENIG JM, 2001, AM STAT, V55, P19 33879 LUDWIG D, 1993, SCIENCE, V260, P17 33880 MANLY BF, 1997, RANDOMIZATION BOOTST 33881 MAPSTONE BD, 1995, ECOL APPL, V5, P401 33882 MCCARTHY MA, 2007, BAYESIAN METHODS ECO 33883 MORGAN MG, 1990, UNCERTAINTY GUIDE DE 33884 OBRIEN M, 2000, MAKING BETTER ENV DE 33885 PHILIP MS, 1994, MEASURING TREES FOR 33886 PRABHU R, 2001, CRITERIA INDICATORS, P39 33887 QUINN GP, 2002, EXPT DESIGN DATA ANA 33888 RAISON RJ, 2001, CRITERIA INDICATORS 33889 SOKAL RR, 1995, BIOMETRY 33890 SUTER GW, 1993, ECOLOGICAL RISK ASSE 33891 TVERSKY A, 1971, PSYCHOL BULL, V76, P105 33892 WALSHE T, 2006, GUIDELINES COMMUNICA 33893 NR 39 33894 TC 0 33895 PU ELSEVIER SCIENCE BV 33896 PI AMSTERDAM 33897 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 33898 SN 0378-1127 33899 J9 FOREST ECOL MANAGE 33900 JI For. Ecol. Manage. 33901 PD AUG 15 33902 PY 2007 33903 VL 247 33904 IS 1-3 33905 BP 237 33906 EP 245 33907 PG 9 33908 SC Forestry 33909 GA 200UD 33910 UT ISI:000248787400025 33911 ER 33912 33913 PT J 33914 AU Zirlewagen, D 33915 Raben, G 33916 Weise, M 33917 AF Zirlewagen, Dietmar 33918 Raben, Gerhard 33919 Weise, Markus 33920 TI Zoning of forest health conditions based on a set of soil, topographic 33921 and vegetation parameters 33922 SO FOREST ECOLOGY AND MANAGEMENT 33923 LA English 33924 DT Article 33925 DE crown condition; forest health; defoliation; regionalization; soil 33926 status; upscaling 33927 ID CROWN CONDITION; SPATIAL PREDICTION; CROSS-VALIDATION; MODEL; 33928 ATTRIBUTES; EUROPE; LEVEL 33929 AB Saxony, a federal state in the east of Germany, includes regions with a 33930 history of high deposition rates of total acidity and conspicuous 33931 impairments of the health status of forests and forest soils. Both the 33932 reduction Of SO2 immissions and extensive forest liming campaigns have 33933 led to a visible regeneration of forests, especially in the Saxon low 33934 mountain ranges. There is a strong need for maps with landscape-related 33935 information about the forest health status as a basis for an ecological 33936 underpinning of forest management practices. The aim of the analyses 33937 presented was to derive a zoning of forest health conditions in Saxony 33938 on the basis of soil, topographic and vegetation parameters. 33939 The upscaling approach of the present paper is based on multiple linear 33940 regression analyses coupled with geostatistics using a two-stage 33941 procedure with global and regional transfers. First, the forest soil 33942 monitoring data of Saxony were evaluated using variables derived from a 33943 digital terrain model, geological information and soil and stand 33944 related parameters available in high spatial resolution as independent 33945 variables. In a second step the influence of environmental factors on 33946 the medium-term crown defoliation was analysed using the modelling 33947 results from step 1 (regionalized soil chemical attributes) as 33948 additional auxiliary variables. Spatio-temporally limited damaging 33949 events were diminished by the plotwise and temporal aggregation of 33950 defoliation values. Unlike soil chemical data, it was not possible to 33951 detect clear auto-correlative spatial structures for defoliation 33952 measurements due to the influence of stand age. About 70-80% of the 33953 total variance of defoliation could be explained by the multiple linear 33954 regression models. Methodological limitations and interpretations are 33955 discussed. Stand age, with 35-64% of the explained variance, showed by 33956 far the highest influence. This confirms the necessity to quantify the 33957 influence of the stand age as a systematic and intrinsic natural factor 33958 if the relationship between defoliation and stress factors is intended 33959 to be examined. The model performance of the regression algorithms was 33960 examined using both an independent validation procedure and 33961 cross-validation terms. Finally, the modelled "mean level of 33962 defoliation" was mapped using the mean stand age of forests in Saxony 33963 (60 years) by means of regression equations as scenario models. (c) 33964 2007 Elsevier B.V. All rights reserved. 33965 C1 INTERRA, D-79341 Kenzingen, Germany. 33966 Staatbetrieb Sachsenforst, Dept Resources Management, D-01796 Pirna, Germany. 33967 RP Zirlewagen, D, INTERRA, Sr Peter Str 30, D-79341 Kenzingen, Germany. 33968 EM d.zirlewagen@interra.biz 33969 CR *BML, 1990, LANDW FORST 33970 *PCC, 1998, MAN METH CRIT HARM S 33971 *SAS I INC, 1990, SAS STAT US GUID VER, V2 33972 *SMUL, 2004, WALDZ 2004 FREIST SA 33973 ABRAHAM J, 2004, JOINT REPORT AIR QUA 33974 BECHER G, 1999, WALDZUSTANDSANALYSE, P312 33975 BEVEN K, 1979, HYDROL SCI B, V24, P1 33976 BIRCH HF, 1956, J SOIL SCI, V7, P156 33977 BOLSTAD PV, 2001, ASSESSMENT METHODS S, P45 33978 DAVIS BM, 1987, MATH GEOL, V19, P241 33979 DESCHRIJVER A, 2000, P INT C FOR EC REST, P77 33980 DEVRIES W, 2002, CAUSE EFFECT RELATIO 33981 GODZIK S, 1990, ECOLOGICAL RISKS PER, P155 33982 HILDEBRAND EE, 2000, NUTR CYCL AGROECOSYS, V56, P69 33983 HOLOPAINEN M, 2005, URBAN FOREST URBAN G, V4, P75 33984 HRUSKA J, 2000, P INT C FOR EC REST, P133 33985 HRUSKA J, 2003, LONG TERM ACIDIFICAT 33986 HUTTL RF, 1998, ECOL ENG, V10, P19 33987 ISAAKS EH, 1989, INTRO APPL GEOSTATIS, P561 33988 KLAP JM, 2000, WATER AIR SOIL POLL, V119, P387 33989 KOZAK A, 2003, CAN J FOREST RES, V33, P976 33990 KREUTZER K, 1995, PLANT SOIL, V168, P447 33991 MCKENZIE NJ, 1999, GEODERMA, V89, P67 33992 MILLER DM, 1984, AM STAT, V38, P124 33993 MIZOUE N, 2003, FOREST ECOL MANAG, V172, P79 33994 MOORE ID, 1991, HYDROL PROCESS, V5, P3 33995 MOORE ID, 1993, SOIL SCI SOC AM J, V57, P443 33996 ODEH IOA, 1994, GEODERMA, V63, P197 33997 ODEH IOA, 1995, GEODERMA, V67, P215 33998 PANNATIER Y, 1996, VARIOWIN SOFTWARE SP, P91 33999 PURDON M, 2004, FOREST ECOL MANAG, V195, P355 34000 RABEN G, 2000, BODENZUSTANDSERHEBUN, P20 34001 ROTHE A, 2002, PLANT SOIL, V240, P33 34002 SABOROWSKI J, 2002, SPATIAL MODELLING FO, P19 34003 SCHALL P, 2004, SCALING RESULTS FORE, P114 34004 SCHMIDT F, 2003, PRECIS AGR, V4, P179 34005 SEIDLING W, 2000, MULTIVARIATE STAT IN 34006 SEIDLING W, 2001, INTEGRATED STUDIES F, P88 34007 SEIDLING W, 2004, EUR J FOR RES, V123, P63 34008 SEIDLING W, 2005, ENVIRON MONIT ASSESS, V101, P223 34009 ULRICH B, 1986, FORSTWISS CENTRALBL, V105, P421 34010 VONWILPERT K, 2000, WATER AIR SOIL POLL, V122, P105 34011 VONWILPERT K, 2003, AFJZ, V174, P21 34012 ZIRLEWAGEN D, 2003, THESIS SCHRIFTENREIH, V19 34013 ZIRLEWAGEN D, 2004, EUR J FOR RES, V123, P269 34014 NR 45 34015 TC 0 34016 PU ELSEVIER SCIENCE BV 34017 PI AMSTERDAM 34018 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 34019 SN 0378-1127 34020 J9 FOREST ECOL MANAGE 34021 JI For. Ecol. Manage. 34022 PD AUG 30 34023 PY 2007 34024 VL 248 34025 IS 1-2 34026 BP 43 34027 EP 55 34028 PG 13 34029 SC Forestry 34030 GA 202LR 34031 UT ISI:000248903700006 34032 ER 34033 34034 PT J 34035 AU Joshi, AK 34036 Ortiz-Ferrara, G 34037 Crossa, J 34038 Singh, G 34039 Sharma, RC 34040 Chand, R 34041 Parsad, R 34042 AF Joshi, A. K. 34043 Ortiz-Ferrara, G. 34044 Crossa, J. 34045 Singh, G. 34046 Sharma, R. C. 34047 Chand, R. 34048 Parsad, Rajender 34049 TI Combining superior agronomic performance and terminal heat tolerance 34050 with resistance to spot blotch (Bipolaris sorokiniana) of wheat in the 34051 warm humid Gangetic Plains of South Asia 34052 SO FIELD CROPS RESEARCH 34053 LA English 34054 DT Article 34055 DE spot blotch; Bipolaris sorokiniana; Cochliobolus sativus; wheat; 34056 Triticum aestivum; germplasm; yield; resistance; heat tolerance 34057 ID HELMINTHOSPORIUM LEAF-BLIGHT; X ENVIRONMENT INTERACTION; SPRING WHEAT; 34058 MANAGEMENT; INHERITANCE; GENOTYPES; DISEASES 34059 AB Seven hundred twenty-nine lines of diverse wheat germplasm lines were 34060 evaluated in eight locations of three countries (India, Nepal and 34061 Bangladesh) of South Asia for 5 years (1999-2000 to 2003-2004) through 34062 Eastern Gangetic Plains Screening Nursery (EGPSN) organized by CIMMYT 34063 South Asia, Nepal, for agronomic performance and tolerance to spot 34064 blotch of wheat. Each year, the number of lines represented a new set 34065 of 150 lines that included six common checks and a different local 34066 check at each of the eight locations. One hundred and five lines, 21 in 34067 each year, advanced from EGPSN were also tested for 5 years (2000-2001 34068 to 2004-2005) in five locations of South Asia through Eastern Gangetic 34069 Plains Yield Trials (EGPYT) to verify spot blotch tolerance and 34070 superior yield performance of the selected germplasm. Many lines 34071 yielded significantly more than the best check and possessed high 34072 levels of spot blotch resistance under warm humid environments of South 34073 Asia. The most promising 25 lines have been listed as sources of strong 34074 resistance, with 9 lines better yielding than the best resistant check 34075 PBW 343 in fewer days to maturity. Most of these superior lines 34076 represented elite CIMMYT germplasm and around half were derived from 34077 Kauz and Veery. The line EGPYT 67, 34078 Kauz//Kauz/Star/3/Prinia/4/Milan/Kauz, was the best for spot blotch 34079 resistance, yield, days to maturity, and 1000 grain weight (TKW). The 34080 next two lines in the order of merit were EGPYT 84 34081 (Mrng/Buc//Blo/Pvn/3/Pjb 8 1) and EGPYT 69 (Chirya3/Pastor). The 34082 results demonstrate that additional spot blotch resistant wheat 34083 genotypes with high grain yield and TKW, and early maturity, have 34084 become available as a result of the regional and international 34085 collaboration in South Asia. (c) 2007 Elsevier B.V. All rights reserved. 34086 C1 Banaras Hindu Univ, Inst Agr Sci, Dept Genet & Plant Breeding, Varanasi 221005, Uttar Pradesh, India. 34087 CIMMYT S Asia, Reg Off, Kathmandu, Nepal. 34088 CIMMYT, Int Maize & Wheat Improvement Ctr, Mexico City 06600, DF, Mexico. 34089 Directorate Wheat Res, Karnal, Haryana, India. 34090 Inst Agr & Anim Sci, Rampur, Nepal. 34091 Banaras Hindu Univ, Dept Mycol & Plant Pathol, Inst Agr Sci, Varanasi 221005, Uttar Pradesh, India. 34092 Indian Agr Res Inst, New Delhi, India. 34093 RP Joshi, AK, Banaras Hindu Univ, Inst Agr Sci, Dept Genet & Plant 34094 Breeding, Varanasi 221005, Uttar Pradesh, India. 34095 EM joshi_vns@yahoo.co.in 34096 CR 2006, INDIAN WHEAT IMPORTS 34097 *SAS, 2003, SAS US GUID STAT 34098 *WMO, 1997, COMPR ASS FRESHW RES 34099 AGGARWAL PK, 1991, WHEAT NONTRADITIONAL, P429 34100 BADARUDDIN M, 1999, AGRON J, V91, P975 34101 BRAUN HJ, 1992, CROP SCI, V32, P1420 34102 CHAURASIA S, 1999, GENET RESOUR CROP EV, V46, P469 34103 CROSSA J, 2002, CROP SCI, V42, P619 34104 DUBIN HJ, 1991, WHEAT NONTRADITIONAL, P125 34105 DUBIN HJ, 1998, DHELMINTHOSPORIUM BL, P182 34106 EVENSON RE, 1999, AGR RES PRODUCTIVITY 34107 EYAL Z, 1987, SEPTORIA DIS WHEAT C 34108 FERRARA GO, 2001, RES HIGHLIGHTS WHEAT, V33 34109 FISCHER RA, 1991, WHEAT NONTRADITIONAL, P3 34110 FISCHER RA, 1996, INCREASING YIELD WHE, P150 34111 HETZLER J, 1991, WHEAT NON TRADITIONA, P266 34112 JOSHI AK, 2002, EUPHYTICA, V123, P221 34113 JOSHI AK, 2002, EUPHYTICA, V124, P283 34114 JOSHI AK, 2004, CROP SCI, V44, P792 34115 JOSHI AK, 2004, PLANT BREEDING, V123, P213 34116 JOSHI AK, 2005, P 7 INT WHEAT C 27 N 34117 JOSHI AK, 2007, CROP SCI, V47, P1 34118 JOSHI AK, 2007, EUPHYTICA, V153, P135 34119 JOSHI AK, 2007, IN PRESS EUPHYTICA 34120 KRONSTAD WE, 1996, INT S ORG CIMMYT INC 34121 LILLEMO M, 2005, CROP SCI, V45, P2443 34122 MEHTA YR, 1992, CROP PROT, V11, P517 34123 NAGARAJAN S, 2005, CURR SCI INDIA, V89, P1467 34124 PANDEY S, 2005, EUR J PLANT PATHOL, V111, P47 34125 RAJARAM S, 1990, GLOBAL IMPACT 1B 1R, P105 34126 RAJARAM S, 2002, BREAD WHEAT IMPROVEM, P103 34127 RANE J, 2000, INDIAN WHEAT NEWS LE, V6, P5 34128 RASMUSSON DC, 1996, P INT S ORG CIMMYT I 34129 REYNOLDS KL, 1997, EXERCISES PLANT DIS, P34 34130 REYNOLDS MP, 1998, EUPHYTICA, V100, P85 34131 ROELFS AP, 1992, RUST DIS WHEAT CONCE, P37 34132 SAARI EE, 1975, PLANT DIS REP, V59, P377 34133 SAARI EE, 1998, HELMINTHOSPORIUM BLI, P37 34134 SHARMA RC, 2004, EUPHYTICA, V139, P33 34135 SHARMA RC, 2004, FIELD CROP RES, V89, P205 34136 SHARMA RC, 2004, PLANT BREEDING, V123, P520 34137 SHARMA RC, 2006, J PHYTOPATHOL, V154, P482 34138 TANDON JP, 1994, WHEAT HEAT STRESSED, P17 34139 VANDERPLANK JE, 1963, PLANT DIS EPIDEMICS 34140 VARGAS M, 1998, CROP SCI, V38, P679 34141 NR 45 34142 TC 0 34143 PU ELSEVIER SCIENCE BV 34144 PI AMSTERDAM 34145 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 34146 SN 0378-4290 34147 J9 FIELD CROP RES 34148 JI Field Crop. Res. 34149 PD JUL 25 34150 PY 2007 34151 VL 103 34152 IS 1 34153 BP 53 34154 EP 61 34155 PG 9 34156 SC Agronomy 34157 GA 197WE 34158 UT ISI:000248586400007 34159 ER 34160 34161 PT J 34162 AU Arun, B 34163 Singh, BD 34164 Sharma, S 34165 Paliwal, R 34166 Joshi, AK 34167 AF Arun, B. 34168 Singh, B. D. 34169 Sharma, S. 34170 Paliwal, R. 34171 Joshi, A. K. 34172 TI Development of somaclonal variants of wheat (Triticum aestivum L.) for 34173 yield traits and disease resistance suitable for heat stressed and 34174 zero-till conditions 34175 SO FIELD CROPS RESEARCH 34176 LA English 34177 DT Article 34178 DE tissue culture; somaclonal variation; Triticum aestivum; somatic 34179 embryogenesis; zero till; late sowing; terminal heat stress 34180 ID SPOT BLOTCH RESISTANCE; TISSUE-CULTURE; WINTER-WHEAT; SPRING WHEAT; 34181 INHERITANCE; PLANTS; EMBRYOGENESIS; ASSOCIATION; MANAGEMENT; SELECTION 34182 AB In a substantial rice-wheat cropping system area of South Asia, wheat 34183 sowing often gets too delayed and exposed to terminal heat stress. 34184 Therefore, farmers prefer varieties that are able to perform well under 34185 a short growing period. Tissue culturally regenerated plants of wheat 34186 variety cv. HUW 234, the most widely cultivated variety of North 34187 Eastern Plain Zone (NEPZ) of India were screened using immature embryo 34188 as explant. Days to heading and maturity, yield and other yield 34189 components and resistance to leaf rust and spot blotch were evaluated. 34190 A few somaclones in R-3 and R-4 generations displayed significant 34191 earliness for days to heading and maturity, improved yield traits and 34192 resistance to leaf rust and spot blotch diseases. The superior 34193 performance of two of the variants was confirmed in the R-5 generation 34194 in 3 years of testing under two dates of conventional and zero-till 34195 sowing. Stability analysis also suggested superiority of the two 34196 somaclones across 12 environments. This appeared to confirm the 34197 possibility of obtaining useful somaclonat variants of wheat for very 34198 late sown as well as zero-till managed agriculture. The superior 34199 performing somaclones can be used as parents in the ongoing breeding 34200 programmes targeting late sown wheat in South Asia exposed to terminal 34201 heat stress. (c) 2007 Elsevier B.V. All rights reserved. 34202 C1 Banaras Hindu Univ, Dept Genet & Plant Breeding, Inst Agr Sci, Varanasi 221005, Uttar Pradesh, India. 34203 Banaras Hindu Univ, Sch Biotechnol, Fac Sci, Varanasi 221005, Uttar Pradesh, India. 34204 RP Joshi, AK, Banaras Hindu Univ, Dept Genet & Plant Breeding, Inst Agr 34205 Sci, Varanasi 221005, Uttar Pradesh, India. 34206 EM joshi_vns@yahoo.co.in 34207 CR *SAS INC, 1997, SAS 34208 AHLOOWALIA BS, 1982, CROP SCI, V22, P405 34209 ARUN B, 2003, EUPHYTICA, V132, P235 34210 CARVER BF, 1989, THEOR APPL GENET, V78, P405 34211 CHENG XY, 1992, EUPHYTICA, V64, P1 34212 CROSSA J, 2002, CROP SCI, V42, P619 34213 DORFFLING K, 1997, ACTA AGRONOMICA HUNG, V45, P295 34214 DUVEILLER E, 2005, PHYTOPATHOLOGY, V95, P248 34215 HANSON K, 1994, PLANT BREEDING, V112, P183 34216 HOBBS P, 1998, 9601 NRG, P46 34217 HOBBS PR, 2001, J CROP PROD, V4, P1 34218 IVANOV P, 1998, EUPHYTICA, V104, P167 34219 JEGER MJ, 2004, ANNU REV PHYTOPATHOL, V42, P61 34220 JOSHI AK, 1997, MALAYSIAN APPL BIOL, V26, P7 34221 JOSHI AK, 2002, EUPHYTICA, V123, P221 34222 JOSHI AK, 2002, EUPHYTICA, V124, P283 34223 JOSHI AK, 2004, CROP SCI, V44, P792 34224 JOSHI AK, 2004, PLANT BREEDING, V123, P763 34225 JOSHI AK, 2007, EUPHYTICA 34226 JOSHI AK, 2007, EUPHYTICA, V153, P135 34227 JOSHI AK, 2007, EUPHYTICA, V153, P59 34228 JOSHI AK, 2007, IN PRESS CROP SCI, V47 34229 KRANZ E, 1993, PLANT CELL, V5, P739 34230 LADHA JK, 2000, 40 IRRI 34231 LIANG HS, 1996, J NE AGRIL U ENG ED, V3, P81 34232 MADDOCK SE, 1985, J EXP BOT, V36, P1976 34233 MOHMAND AS, 1990, PLANT CELL REP, V8, P558 34234 NAYAR SK, 1994, INDIA RES B, V1, P1 34235 PANDEY S, 2005, EUR J PLANT PATHOL, V111, P47 34236 PETERSON RF, 1948, CAN J RES C, V26, P496 34237 QUERSHI AJ, 1992, EUPHYTICA, V60, P221 34238 RANA RK, 1996, AGRIFOOD QUALITY INT, P19 34239 ROELFS AP, 1992, RUST DIS WHEAT CONCE, P1 34240 RYAN SA, 1987, THEOR APPL GENET, V74, P77 34241 SAARI EE, 1998, HELMINTHOSPORIUM BLI, P37 34242 SYMILLIDES Y, 1995, EUPHYTICA, V82, P263 34243 TUCHIN SV, 1996, SELSKOKHOZYAISTVENNA, V5, P112 34244 VANDERPLANK, 1963, PLANT DIS EPIDEMICS, P349 34245 WENZEL G, 1990, THEOR APPL GENET, V80, P359 34246 YANG ZP, 1998, EUPHYTICA, V101, P213 34247 ZADOKS JC, 1974, WEED RES, V14, P415 34248 NR 41 34249 TC 0 34250 PU ELSEVIER SCIENCE BV 34251 PI AMSTERDAM 34252 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 34253 SN 0378-4290 34254 J9 FIELD CROP RES 34255 JI Field Crop. Res. 34256 PD JUL 25 34257 PY 2007 34258 VL 103 34259 IS 1 34260 BP 62 34261 EP 69 34262 PG 8 34263 SC Agronomy 34264 GA 197WE 34265 UT ISI:000248586400008 34266 ER 34267 34268 PT J 34269 AU Sato, ME 34270 Da Silva, MZ 34271 De Souza, MF 34272 Matioli, AL 34273 Raga, A 34274 AF Sato, Mario Eidi 34275 Da Silva, Marcos Zatti 34276 De Souza Filho, Miguel Francisco 34277 Matioli, Andre Luis 34278 Raga, Adalton 34279 TI Management of Tetranychus urticae (Acari : Tetranychidae) in strawberry 34280 fields with Neoseiulus californicus (Acari : Phytoseiidae) and 34281 acaricides 34282 SO EXPERIMENTAL AND APPLIED ACAROLOGY 34283 LA English 34284 DT Article 34285 DE two-spotted spider mite; predaceous mite; biological control; chemical 34286 control; interplant movement; pesticide resistance 34287 ID 2-SPOTTED SPIDER-MITE; CROSS-RESISTANCE; KOCH ACARI; 34288 AMBLYSEIUS-CALIFORNICUS; ABAMECTIN RESISTANCE; SOUTHERN-CALIFORNIA; 34289 INHERITANCE; PERSIMILIS; STABILITY; GENETICS 34290 AB The purpose of this study was to evaluate the performance of Neoseiulus 34291 californicus (McGregor) for the control of Tetranychus urticae Koch in 34292 commercial strawberry fields, under greenhouse conditions, in 34293 association or not with the use of acaricides. The N. californicus 34294 strain used in this study was tolerant or resistant to several 34295 pesticides. Three experiments were carried out in the State of Sao 34296 Paulo, Brazil. For the first experiment, the initial infestation of T. 34297 urticae was 87.1 active stages per leaflet. Two applications of 34298 propargite were made on the first and the 14th day of the experiment. 34299 Approximately 2 h after each propargite application, N. californicus 34300 was released at a rate of 3.0 and 1.9 adult mites per plant, 34301 respectively, for each application. The population of T. urticae 34302 decreased from 87.1 to 2.8 mites per leaflet in the first three weeks. 34303 After this period, the population of T. urticae was maintained at low 34304 levels (<= 1.5 mites/leaflet) until the end of the experiment (10th 34305 week). Propargite and dimethoate sprayed on the strawberry field did 34306 not affect significantly the population of this predaceous mite. For 34307 the second experiment, the infestation of T. urticae was 29.1 mites per 34308 leaflet, when the acaricide chorfenapyr was applied on the strawberry 34309 field. The release of N. californicus (2 mites per plant) was made 2 34310 weeks after spraying the acaricide. The population of T. urticae was 34311 maintained at low levels (<= 2.8 mites/leaflet) for 8 weeks (evaluation 34312 period). The T. urticae infestations in plots with N. californicus were 34313 significantly lower than in non-release plots, for the experiments 1 34314 and 2. In the third experiment, the initial infestation of T. urticae 34315 was 40.5 mites per leaflet (55.5 active stages/leaflet on release 34316 plants; 25.5 active stages/leaflet on non-release plants). Three 34317 releases of N. californicus (average rate of 3.0 adult mites/plant), 34318 without any acaricide application, were not sufficient to reduce 34319 significantly the T. urticae population in release plots (release 34320 plants + non-release plants) in 6 weeks from the first release, 34321 however, the spider mite population decreased from 55.5 to 7.8 active 34322 stages per leaflet on release plants, during this period. Interplant 34323 dispersal of N. californicus was low in this strawberry field with high 34324 infestation of T. urticae. The studies indicate the viability of the 34325 use of this strain of N. californicus for the control of T. urticae in 34326 strawberry fields under greenhouse conditions, especially in 34327 association with selective acaricides. 34328 C1 APTA, Biolog Inst, BR-13001 Campinas, SP, Brazil. 34329 RP Sato, ME, APTA, Biolog Inst, Caixa Postal 70, BR-13001 Campinas, SP, 34330 Brazil. 34331 EM mesato@biologico.sp.gov.br 34332 CR *AGROFIT, 2007, SIST AGR FIT MIN AGR 34333 *SAS I, 2001, SAS STAT AN SYST WIN 34334 AUGER P, 1999, EXP APPL ACAROL, V23, P235 34335 CHIAVEGATO LG, 1981, CIENTIFICA, V9, P257 34336 CROFT BA, 1998, ENVIRON ENTOMOL, V27, P531 34337 DASILVA MZ, 2006, REV BRAS FRUTIC, V28, P205 34338 DEMORAES GJ, 2004, ZOOTAXA, V434, P1 34339 FLECHTMANN CHW, 1985, ACAROS IMPORTANCIA A 34340 FOURNIER D, 1985, SPIDER MITES THEIR B, V1, P423 34341 GERSON U, 2003, MITES ACARI PEST CON 34342 GIMENEZFERRER RM, 1994, J ECON ENTOMOL, V87, P168 34343 GRECO NM, 1999, EXP APPL ACAROL, V23, P567 34344 HERRON GA, 1993, EXP APPL ACAROL, V17, P423 34345 HINOMOTO N, 1995, APPL ENTOMOL ZOOL, V30, P521 34346 HOY MA, 1985, ANNU REV ENTOMOL, V30, P345 34347 HOY MA, 1990, PESTICIDE RESISTANCE, P203 34348 MCMURTRY JA, 1997, ANNU REV ENTOMOL, V42, P291 34349 MONTERIRO LB, 1994, REV BRAS FRUT, V16, P46 34350 MONTSE A, 2001, J CLIN EXP NEUROPSYC, V23, P592 34351 OATMAN ER, 1977, J ECON ENTOMOL, V70, P45 34352 OATMAN ER, 1977, J ECON ENTOMOL, V70, P638 34353 POLETTI M, 2005, MANEJO INTEGRADO PLA, V75, P32 34354 SANCES FV, 1982, CALFORNIA AGR, V36, P15 34355 SATO MA, 2002, NEOTROP ENTOMOL, V31, P449 34356 SATO ME, 2004, APPL ENTOMOL ZOOL, V39, P293 34357 SATO ME, 2005, NEOTROP ENTOMOL, V34, P991 34358 SCHAUSBERGER P, 2001, BIOL CONTROL, V20, P269 34359 STRONG WB, 1995, ENVIRON ENTOMOL, V24, P446 34360 STUMPF N, 2001, J ECON ENTOMOL, V94, P1577 34361 STUMPF N, 2002, PESTIC BIOCHEM PHYS, V72, P111 34362 TOMCZYK A, 1985, SPIDER MITES THEIR A, V1, P317 34363 TSAGKARAKOU A, 1996, J ECON ENTOMOL, V89, P1354 34364 VANDEVRIE M, 1972, HILGARDIA, V41, P387 34365 WALSH DB, 1998, J ECON ENTOMOL, V91, P678 34366 WALZER A, 2001, EXP APPL ACAROL, V25, P731 34367 ZALOM PG, 2002, UC IMP PROGRAM UC CO 34368 NR 36 34369 TC 0 34370 PU SPRINGER 34371 PI DORDRECHT 34372 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 34373 SN 0168-8162 34374 J9 EXP APPL ACAROL 34375 JI Exp. Appl. Acarol. 34376 PD JUN 34377 PY 2007 34378 VL 42 34379 IS 2 34380 BP 107 34381 EP 120 34382 PG 14 34383 SC Entomology 34384 GA 188PA 34385 UT ISI:000247930600004 34386 ER 34387 34388 PT J 34389 AU Gulpinar, N 34390 Rustem, B 34391 AF Gulpinar, Nalan 34392 Rustem, Berc 34393 TI Worst-case robust decisions for multi-period mean-variance portfolio 34394 optimization 34395 SO EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 34396 LA English 34397 DT Article 34398 DE stochastic programming; nonlinear programming; risk management; 34399 finance; worst-case design; uncertainty modelling; scenario tree 34400 ID FORECASTS 34401 AB In this paper, we extend the multi-period mean-variance optimization 34402 framework to worst-case design with multiple rival return and risk 34403 scenarios. Our approach involves a min-max algorithm and a multi-period 34404 mean-variance optimization framework for the stochastic aspects of the 34405 scenario tree. Multi-period portfolio optimization entails the 34406 construction of a scenario tree representing a discretised estimate of 34407 uncertainties and associated probabilities in future stages. The 34408 expected value of the portfolio return is maximized simultaneously with 34409 the minimization of its variance. There are two sources of further 34410 uncertainty that might require a strengthening of the robustness of the 34411 decision. The first is that some rival uncertainty scenarios may be too 34412 critical to consider in terms of probabilities. The second is that the 34413 return variance estimate is usually inaccurate and there are different 34414 rival estimates, or scenarios. In either case, the best decision has 34415 the additional property that, in terms of risk and return, performance 34416 is guaranteed in view of all the rival scenarios. The ex-ante 34417 performance of min-max models is tested using historical data and 34418 backtesting results are presented. (C) 2006 Elsevier B.V. All rights 34419 reserved. 34420 C1 Univ Warwick, Warwick Business Sch, Coventry CV4 7AL, W Midlands, England. 34421 Univ London Imperial Coll Sci Technol & Med, Dept Comp, London SW7 2AZ, England. 34422 RP Gulpinar, N, Univ Warwick, Warwick Business Sch, Coventry CV4 7AL, W 34423 Midlands, England. 34424 EM Nalan.Gulpinar@wbs.ac.uk 34425 br@doc.ic.ac.uk 34426 CR AOKI M, 1967, OPTIMIZATION STOCHAS 34427 BIRGE JR, 1997, INTRO STOCHASTIC PRO 34428 BRETON M, 1995, COMPUT OPTIM APPL, V4, P317 34429 DEMPSTER M, 1993, CALM STOCHASTIC MIP 34430 FRAUENDORFER K, 1995, J MASS PARALLEL COMP, V5, P449 34431 GULPINAR N, 2002, DECISION MAKING EC F, P33 34432 GULPINAR N, 2003, INNOVATIONS FINANCIA, V3, P46 34433 GULPINAR N, 2004, 5 INT C COMP SCI MCO, P60 34434 GULPINAR N, 2004, J ECON DYN CONTROL, V28, P1291 34435 KALL P, 1976, STOCHASTIC LINEAR PR 34436 KALL P, 1994, STOCHASTIC PROGRAMMI 34437 LAWRENCE MJ, 1986, MANAGE SCI, V32, P1521 34438 MAKRIDAKIS S, 1983, MANAGE SCI, V29, P987 34439 MARKOWITZ HM, 1952, J FINANC, V7, P77 34440 MESZAROS C, 1997, 978 DEP COMP RES 34441 MESZAROS C, 1998, LAB OR DEC SCI 34442 PREKOPA A, 1995, STOCHASTIC PROGRAMMI 34443 RUSTEM B, 2000, J ECON DYN CONTROL, V24, P1591 34444 RUSTEM B, 2002, ALGORITHMS WORST CAS 34445 NR 19 34446 TC 0 34447 PU ELSEVIER SCIENCE BV 34448 PI AMSTERDAM 34449 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 34450 SN 0377-2217 34451 J9 EUR J OPER RES 34452 JI Eur. J. Oper. Res. 34453 PD DEC 16 34454 PY 2007 34455 VL 183 34456 IS 3 34457 BP 981 34458 EP 1000 34459 PG 20 34460 SC Management; Operations Research & Management Science 34461 GA 197XK 34462 UT ISI:000248590100005 34463 ER 34464 34465 PT J 34466 AU Yang, YX 34467 AF Yang, Yingxu 34468 TI Adaptive credit scoring with kernel learning methods 34469 SO EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 34470 LA English 34471 DT Article 34472 DE risk management; credit scoring; kernel methods; machine learning 34473 ID SUPPORT VECTOR MACHINES; PATTERNS 34474 AB Credit scoring is a method of modelling potential risk of credit 34475 applications. Traditionally, logistic regression and discriminant 34476 analysis are the most widely used approaches to create scoring models 34477 in the industry. However, these methods are associated with quite a few 34478 limitations, such as being instable with high-dimensional data and 34479 small sample size, intensive variable selection effort and incapability 34480 of efficiently handling non-linear features. Most importantly, based on 34481 these algorithms, it is difficult to automate the modelling process and 34482 when population changes occur, the static models usually fail to adapt 34483 and may need to be rebuilt from scratch. In the last few years, the 34484 kernel learning approach has been investigated to solve these problems. 34485 However, the existing applications of this type of methods (in 34486 particular the SVM) in credit scoring have all focused on the batch 34487 model and did not address the important problem of how to update the 34488 scoring model on-line. This paper presents a novel and practical 34489 adaptive scoring system based on an incremental kernel method. With 34490 this approach, the scoring model is adjusted according to an on-line 34491 update procedure that can always converge to the optimal solution 34492 without information loss or running into numerical difficulties. 34493 Non-linear features in the data are automatically included in the model 34494 through a kernel transformation. This approach does not require any 34495 variable reduction effort and is also robust for scoring data with a 34496 large number of attributes and highly unbalanced class distributions. 34497 Moreover, a new potential kernel function is introduced to further 34498 improve the predictive performance of the scoring model and a kernel 34499 attribute ranking technique is used that adds transparency in the final 34500 model. Experimental studies using real world data sets have 34501 demonstrated the effectiveness of the proposed method. (c) 2006 34502 Elsevier B.V. All rights reserved. 34503 C1 SHS VIVEON, D-82152 Munich, Germany. 34504 RP Yang, YX, SHS VIVEON, Fraunhoferstr 12, D-82152 Munich, Germany. 34505 EM yingxu.yang@shs-viveon.com 34506 CR *TEL RISK MAN, 2004, FAIR ISS WHIT PAP 34507 AIZERMAN MA, 1964, AUTOMAT REM CONTR+, V25, P821 34508 BACK B, 1996, P 1 INT M ART INT AC, P337 34509 BAESENS B, 2003, J OPER RES SOC, V54, P627 34510 BOMHARDT C, 2004, WEB INT IEEE WIC ACM 34511 CAUWENBERGHS G, 2000, ADV NEURAL INFORMATI, P409 34512 CORTES C, 1995, MACH LEARN, V20, P273 34513 DIEHL CP, 2003, P IEEE INT JOINT C N 34514 DROR G, 2005, BIOINFORMATICS, V21, P897 34515 DUDA RO, 2000, PATTERN CLASSIFICATI 34516 DURAND D, 1941, RISK ELEMENTS CONSUM 34517 FISHER RA, 1936, ANN EUGENIC 2, V7, P179 34518 GELUK JL, 2000, ADV APPL PROBAB, V32, P1011 34519 GUYON I, 2000, MACHINE LEARNING 34520 HAARDLE W, 2003, PREDICTING CORPORATE 34521 HAND DJ, 1997, J ROY STAT SOC A S 3, V160, P523 34522 HOSMER DW, 1989, APPL LOGISTIC REGRES 34523 KARUSH W, 1939, THESIS U CHICAGO ILL 34524 KUHN HW, 1951, P 2 BERK S MATH STAT, P481 34525 KWANG IK, 2002, IEEE T PATTERN ANAL, V24 34526 LUENBERGER D, 1984, LINEAR NONLINEAR PRO 34527 MAYS E, 2004, HDB LENDERS 34528 OSUNA E, 1997, PROC CVPR IEEE, P130 34529 PLATT JC, 1998, MSRTR9814 34530 ROSENBLATT F, 1962, PRINCIPLES NEURODYNA 34531 RUD OP, 2001, DATA MINING COOKBOOK 34532 RUPING S, 2001, P ICDM 2001 C SAN JO, P641 34533 SCHEBESCH KB, 2005, J OPER RES SOC, V56, P1082 34534 SHILTON A, 2001, P INNT JOINT C NEUR 34535 SHIN KS, 2005, EXPERT SYST APPL, V28, P127 34536 SIDDIQI N, 2005, CREDIT RISK SCORECAR 34537 SYED NA, 1999, P INT JOINT C ART IN 34538 VANGESTEL T, 2003, P IEEE INT C COMP IN, P1 34539 WIGINTON JC, 1980, J FINANCIAL QUANTITA, V15, P757 34540 YANG YX, 2000, IEEE T SYST MAN CY A, V30, P840 34541 YANG YX, 2000, IEEE T SYST MAN CY B, V30, P573 34542 NR 36 34543 TC 0 34544 PU ELSEVIER SCIENCE BV 34545 PI AMSTERDAM 34546 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 34547 SN 0377-2217 34548 J9 EUR J OPER RES 34549 JI Eur. J. Oper. Res. 34550 PD DEC 16 34551 PY 2007 34552 VL 183 34553 IS 3 34554 BP 1521 34555 EP 1536 34556 PG 16 34557 SC Management; Operations Research & Management Science 34558 GA 197XK 34559 UT ISI:000248590100043 34560 ER 34561 34562 PT J 34563 AU Wu, ID 34564 Hand, DJ 34565 AF Wu, I-Ding 34566 Hand, David J. 34567 TI Handling selection bias when choosing actions in retail credit 34568 applications 34569 SO EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 34570 LA English 34571 DT Article 34572 DE consumer banking; retail banking; reject inference; customer value 34573 management; decision making 34574 ID SAMPLE SELECTION; INFERENCE; MODELS 34575 AB In many situations one needs to know which action one should take with 34576 a customer to yield the greatest response. Typically, estimates of the 34577 response functions of different actions will be based on the responses 34578 of customers previously assigned to each action. Often, however, the 34579 previous assignments will not have been random, so that estimates of 34580 the response functions will be biased. We examine the case of two 34581 possible actions. We look at the error arising from using the simple 34582 OLS estimate ignoring the selection bias, and also explore the 34583 possibility of using the Heckman model to allow for the sample 34584 selectivity. The performance of Heckman's model is then compared with 34585 the simple OLS through simulation. (c) 2006 Elsevier B.V. All rights 34586 reserved. 34587 C1 Univ London Imperial Coll Sci Technol & Med, Dept Math, London SW7 2AZ, England. 34588 Univ London Imperial Coll Sci Technol & Med, Inst Math Sci, London SW7 2AZ, England. 34589 RP Wu, ID, Univ London Imperial Coll Sci Technol & Med, Dept Math, Huxley 34590 Bldg, London SW7 2AZ, England. 34591 EM i.wu@imperial.ac.uk 34592 d.j.hand@imperial.ac.uk 34593 CR COPAS JB, 1997, J ROY STAT SOC B MET, V59, P55 34594 CROOK J, 2004, J BANK FINANC, V28, P857 34595 HAND DJ, 1994, NEW APPROACHES CLASS, P292 34596 HAND DJ, 2001, HDB CREDIT SCORING, P225 34597 HECKMAN JJ, 1976, ANN ECON SOC MEAS, V5, P475 34598 HECKMAN JJ, 1979, ECONOMETRICA, V47, P153 34599 LITTLE RJA, 1985, ECONOMETRICA, V53, P1469 34600 LITTLE RJA, 2002, STAT ANAL MISSING DA, P312 34601 OLSEN RJ, 1980, ECONOMETRICA, V48, P1815 34602 RUBIN DB, 1976, BIOMETRIKA, V63, P581 34603 STOLZENBERG RM, 1990, SOCIOL METHOD RES, V18, P395 34604 NR 11 34605 TC 0 34606 PU ELSEVIER SCIENCE BV 34607 PI AMSTERDAM 34608 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 34609 SN 0377-2217 34610 J9 EUR J OPER RES 34611 JI Eur. J. Oper. Res. 34612 PD DEC 16 34613 PY 2007 34614 VL 183 34615 IS 3 34616 BP 1560 34617 EP 1568 34618 PG 9 34619 SC Management; Operations Research & Management Science 34620 GA 197XK 34621 UT ISI:000248590100046 34622 ER 34623 34624 PT J 34625 AU Mineo, TC 34626 AF Mineo, Tommaso Claudio 34627 TI Epidural anesthesia in awake thoracic surgery 34628 SO EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY 34629 LA English 34630 DT Review 34631 DE epidural anesthesia; VATS; thoracoscopy; LVRS; pulmonary nodule; 34632 thoracic surgery 34633 ID CORONARY-ARTERY DISEASE; UNSTABLE ANGINA-PECTORIS; LUNG-VOLUME 34634 REDUCTION; GENERAL-ANESTHESIA; MYASTHENIA-GRAVIS; REGIONAL ANESTHESIA; 34635 BYPASS-SURGERY; SPONTANEOUS PNEUMOTHORAX; THORACOSCOPIC OPERATION; 34636 CONSCIOUS PATIENTS 34637 AB Despite the indisputable and well-known advantages of general 34638 anesthesia in thoracic surgery, this can trigger some adverse effects 34639 including an increased risk of pneumonia, impaired cardiac performance, 34640 neuromuscular problems, mechanical ventilation -induced injuries, which 34641 include barotrauma, volotrauma, atelectrauma, and biotrauma. In order 34642 to reduce the adverse effects of general. anesthesia, thoracic epidural 34643 anesthesia has been recently employed to perform awake thoracic surgery 34644 procedures including coronary artery bypass, management of 34645 pneumothorax, resection of pulmonary nodules and solitary metastases, 34646 lung volume reduction surgery, and even transsternal thymectomy. The 34647 results achieved in this early series have been encouraging, although 34648 indications and many pathophysiologic aspects remain to be elucidated. 34649 In this review we have tried to provide a first-step analysis of the 34650 anecdotal reports available in the literature on this topic. We also 34651 desired to provide insights into the main physiologic effects of awake 34652 thoracic surgery with epidural anesthesia, with particular attention to 34653 the several issues raised by its application in patients with chronic 34654 obstructive pulmonary disease, which can represent one of the most 34655 stimulating challenges in this setting. (c) 2007 European Association 34656 for Cardio-Thoracic Surgery. Published by Elsevier B.V. All rights 34657 reserved. 34658 C1 Univ Roma Tor Vergata, Cattedra Chirurg Torac, Policlin Tor Vergata, I-00133 Rome, Italy. 34659 Policlin Tor Vergata, Tor Vergata Sch Thorac Surg, Thorac Surg Div, Rome, Italy. 34660 RP Mineo, TC, Univ Roma Tor Vergata, Cattedra Chirurg Torac, Policlin Tor 34661 Vergata, V Oxford 81, I-00133 Rome, Italy. 34662 EM mineo@med.uniroma2.it 34663 CR ABEL M, 2002, MT SINAI J MED, V69, P31 34664 ALBRIGHT GA, 1979, ANESTHESIOLOGY, V51, P285 34665 ANDERSON MB, 2001, EUR J CARDIO-THORAC, V20, P415 34666 AUROY Y, 1997, ANESTHESIOLOGY, V87, P479 34667 AYBEK T, 2003, ANN THORAC SURG, V75, P1165 34668 BASSE L, 2002, BRIT J SURG, V89, P446 34669 BJORK VO, 1950, J THORAC SURG, V20, P151 34670 BLAIR E, 1955, J CLIN INVEST, V34, P383 34671 BLOCH KE, 1997, AM J RESP CRIT CARE, V156, P553 34672 BLOMBERG S, 1989, ANESTH ANALG CURR RE, V69, P558 34673 BLOMBERG S, 1990, ANESTHESIOLOGY, V73, P840 34674 BORGHI B, 2002, J CLIN ANESTH, V14, P102 34675 BRAUER L, 1904, MITTEIL GRENZGEB MED, V13, P483 34676 BROGAN TV, 2002, FASEB J 2, V16, A876 34677 CHENEY FW, 1991, ANESTHESIOLOGY, V75, P932 34678 COHEN E, 1997, CHEST SURG CLIN N AM, V7, P753 34679 DAVIS RF, 1986, ANESTH ANALG CURR RE, V65, P711 34680 DIBONA GF, 1997, PHYSIOL REV, V77, P75 34681 ENOKI T, 1989, ANESTH ANALG, V69, P840 34682 FAWCETT WJ, 1997, ANAESTHESIA, V52, P294 34683 FEIHL F, 1994, AM J RESP CRIT CARE, V150, P1722 34684 GIBSON P, 2004, ANAESTH INTENS CARE, V32, P596 34685 GOVASI C, 2004, BRIT J ANAESTH, V92, P294 34686 GROEBEN H, 2002, ANESTHESIOLOGY, V96, P536 34687 GROEBEN H, 2006, J ANESTH, V20, P290 34688 HARROPGRIFFITHS AW, 1991, ANAESTHESIA, V46, P11 34689 HEARN M, 2003, BRIT J ANAESTH, V90, P706 34690 HO AMH, 2000, CHEST, V117, P551 34691 HORLOCKER TT, 2000, ANESTHESIOL CLIN N A, V18, P461 34692 JACK ES, 2006, ACTA ANAESTHESIOL SC 34693 JACOBAEUS HC, 1922, SURG GYNECOL OBSTET, V34, P289 34694 JANSSEN JP, 1995, CHEST, V108, P330 34695 KARAGOZ HY, 2000, ANN THORAC SURG, V70, P91 34696 KARAGOZ HY, 2003, J THORAC CARDIOV SUR, V125, P1401 34697 KEHLET H, 1993, ANESTH ANALG CURR RE, V77, P1048 34698 KESSLER P, 2002, ANESTH ANALG, V95, P791 34699 KIM JM, 1989, BRIT J ANAESTH, V63, P497 34700 KLASSEN GA, 1980, ANESTHESIOLOGY, V52, P8 34701 KOCK M, 1990, ANESTH ANALG CURR RE, V71, P625 34702 KREGENOW DA, 2002, EUR RESPIR J, V20, P6 34703 LAZAR HL, 2001, J THORAC CARDIOV SUR, V121, P943 34704 LOICK HM, 1999, ANESTH ANALG, V88, P701 34705 LUMB AB, 1989, ANAESTHESIA, V44, P828 34706 MARK DB, 1994, ANN INTERN MED, V120, P111 34707 MEININGER D, 2003, WORLD J SURG, V27, P534 34708 MINEO TC, 2006, ANN SURG, V243, P131 34709 MONTES FR, 2000, ANESTH ANALG, V91, P776 34710 MUKAIDA T, 1998, ANN THORAC SURG, V65, P924 34711 MULDER DG, 2004, WORLD J SURG, V28, P965 34712 NEAL JM, 1993, ANESTHESIOL CLIN N A, P163 34713 NEZU K, 1997, CHEST, V111, P230 34714 OLAUSSON K, 1997, CIRCULATION, V96, P2178 34715 PAISTE J, 2001, ANESTH ANALG, V93, P1486 34716 PATERSON IG, 1994, BRIT J ANAESTH, V73, P494 34717 POMPEO E, 2004, ANN THORAC SURG, V78, P1761 34718 POMPEO E, 2007, J THORAC CARDIOV SUR, V133, P786 34719 POMPEO E, 2007, J THORAC CARDIOV SUR, V133, P960 34720 READY LB, 1985, ANESTHESIOLOGY, V63, P364 34721 RENCK H, 1995, ACTA ANAESTH SCAND, V39, P859 34722 RIBAKOVE GH, 1998, J THORAC CARDIOV SUR, V115, P1101 34723 RIGLER ML, 1991, ANESTH ANALG, V72, P275 34724 RUPPEN W, 2006, BMC ANESTHESIOL, V6, P10 34725 RUTBERG H, 1984, BRIT J ANAESTH, V56, P233 34726 SAUERBRUCH F, 1904, MITTEIL GRENZGEB MED, V13, P399 34727 SAUERBRUCH F, 1953, MASTER SURG NY, P92 34728 SCOTT NB, 1989, BRIT J ANAESTH, V62, P253 34729 SEEGOBIN RD, 1991, CAN J ANAESTH, V38, P1005 34730 SHNIDER SM, 1961, ANESTHESIOLOGY, V22, P886 34731 SIDIROPOULOU T, 2003, REGION ANESTH PAIN M, V28, P531 34732 STRIDE PC, 1993, ANAESTHESIA, V48, P247 34733 SUGIMOTO S, 2005, J THORAC CARDIOV SUR, V130, P1219 34734 SUNDBERG A, 1986, ACTA ANAESTH SCAND, V30, P215 34735 TAHRAN S, 1973, SURGERY, V74, P720 34736 TAKASAKI M, 1980, BRIT J ANAESTH, V52, P1271 34737 TANAKA K, 1993, REGION ANESTH PAIN M, V18, P34 34738 TARHAN S, 1972, JAMA-J AM MED ASSOC, V220, P1451 34739 TOKICS L, 1996, J APPL PHYSIOL, V81, P1822 34740 TSUNEZUKA Y, 2004, WORLD J SURG, V28, P962 34741 VONDOSSOW V, 2001, ANESTH ANALG, V92, P848 34742 WARNER DO, 1996, ANESTHESIOLOGY, V85, P761 34743 WHITEHEAD T, 2002, THORAX, V57, P635 34744 WILDEBOERVENEMA F, 1980, RESPIR PHYSL, V39, P63 34745 WILLIAMS NM, 1999, TEC BEHAV N, V13, P31 34746 YOKOYAMA T, 2001, MASUI, V50, P290 34747 ZAVOD WA, 1940, J THORAC SURG, V10, P27 34748 NR 85 34749 TC 0 34750 PU ELSEVIER SCIENCE BV 34751 PI AMSTERDAM 34752 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 34753 SN 1010-7940 34754 J9 EUR J CARDIO-THORAC SURG 34755 JI Eur. J. Cardio-Thorac. Surg. 34756 PD JUL 34757 PY 2007 34758 VL 32 34759 IS 1 34760 BP 13 34761 EP 19 34762 PG 7 34763 SC Cardiac & Cardiovascular Systems; Respiratory System; Surgery 34764 GA 195VC 34765 UT ISI:000248439200003 34766 ER 34767 34768 PT J 34769 AU Borgia, E 34770 Delmastro, F 34771 AF Borgia, Eleonora 34772 Delmastro, Franca 34773 TI Effects of unstable links on AODV performance in real testbeds 34774 SO EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 34775 LA English 34776 DT Article 34777 AB A link between a pair of nodes is defined unstable if it is 34778 characterized by a packet loss which is not negligible in one or both 34779 directions. The presence of unstable links in multihop ad hoc networks 34780 is very likely and it depends on several factors (e.g., different 34781 transmission capabilities of the devices, interferences caused by 34782 additional wireless devices). Their management by the routing protocols 34783 is of paramount importance since they negatively affect applications 34784 performance. In our previous experimental studies, we found that AODV 34785 is characterized by very low performance in some specific situations 34786 and, in this work, we demonstrate that it mainly depends on the wrong 34787 management of unstable links as valid routes. We present some policies 34788 that have been proposed in literature to avoid this problem, and we 34789 validate two of them through experimental results, exploiting also a 34790 direct comparison with the proactive routing protocol OLSR. Our results 34791 show that AODV is not able to avoid the use of unstable links, even 34792 when an alternative stable route exists. In the same conditions, OLSR 34793 outperforms AODV by correctly managing unstable links. In fact, it is 34794 able to guarantee a higher packet delivery ratio to the application by 34795 using the most stable path to reach the destination. Copyright (c) 2007 34796 E. Borgia and F. Delmastro. This is an open access article distributed 34797 under the Creative Commons Attribution License, which permits 34798 unrestricted use, distribution, and reproduction in any medium, 34799 provided the original work is properly cited. 34800 C1 CNR, Inst Informat & Telemat IIT, Pervas Computing & Networking Lab PerLab, I-56124 Pisa, Italy. 34801 RP Borgia, E, CNR, Inst Informat & Telemat IIT, Pervas Computing & 34802 Networking Lab PerLab, Via G Moruzzi, I-56124 Pisa, Italy. 34803 CR AS HOC ON DEMAND DIS 34804 NETPERF TRAFFIC GENE 34805 *OSL U DEP INF, OLSR IMPL 34806 *UPPS U DEP INF TE, AODV IMPL 34807 ANASTASI G, 2004, P 2 IEEE ANN C PERV, P145 34808 ANASTASI G, 2005, PERVASIVE MOBILE COM, V1, P237 34809 BORGIA E, 2005, AD HOC SENSOR WIRELE, V1, P125 34810 BORGIA E, 2005, P 1 INT WORKSH PERV, P232 34811 BORGIA E, 2005, P ACM SIFCOMM WORKSH, P82 34812 BORGIA E, 2006, P 15 IST MOB WIR COM 34813 CLAUSEN T, 2003, 3626 RFC 34814 DAS SR, 2000, MOBILE NETW APPL, V5, P179 34815 DAS SR, 2000, P 19 ANN JOINT C IEE, V1, P3 34816 GERLA M, 1983, P IEEE GLOBAL TELECO 34817 GRAY RS, 2004, P 7 ACM INT S MOD AN, P220 34818 KIESS W, 2007, AD HOC NETWORKS, V5, P324 34819 LUNDGREN H, 2002, P 5 ACM INT WORKSH W, P49 34820 MARINA M, 2002, P 3 ACM INT S MOB AD, P12 34821 MARINA MK, 2001, P 9 INT C NETW PROT 34822 NESARGI S, 2000, P 9 INT C COMP COMM, P522 34823 NR 20 34824 TC 0 34825 PU HINDAWI PUBLISHING CORPORATION 34826 PI NEW YORK 34827 PA 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA 34828 SN 1687-1499 34829 J9 EURASIP J WIREL COMMUN NETW 34830 JI EURASIP J. Wirel. Commun. Netw. 34831 PY 2007 34832 AR 19375 34833 DI ARTN 19375 34834 PG 14 34835 SC Engineering, Electrical & Electronic; Telecommunications 34836 GA 192QR 34837 UT ISI:000248217600001 34838 ER 34839 34840 PT J 34841 AU Wang, J 34842 Song, M 34843 AF Wang, Jun 34844 Song, Min 34845 TI Rate-based active queue management for TCP flows over wired and 34846 wireless networks 34847 SO EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 34848 LA English 34849 DT Article 34850 ID ALGORITHM; STABILITY; MODEL 34851 AB Current active queue management (AQM) and TCP protocol are designed and 34852 tuned to work well on wired networks where packet loss is mainly due to 34853 network congestion. In wireless networks, however, communication links 34854 suffer from significant transmission bit errors and handoff failures. 34855 As a result, the performance of TCP flows is significantly degraded. To 34856 mitigate this problem, we analyze existing AQM schemes and propose a 34857 rate-based exponential AQM (REAQM) scheme. The proposed REAQM scheme 34858 uses the input rate as a primary metric and queue length as the 34859 secondary metric. The objectives of REAQM are to stabilize networks 34860 with low packet loss, low packet delay, and high link utilization 34861 regardless the dynamic of network conditions. We prove the global 34862 asymptotic stability of the equilibrium based on Lyapunov theory. 34863 Simulation results suggest that REAQM is capable of performing well for 34864 TCP flows over both wired and wireless networks, and has comparable 34865 implementation complexity as other AQM schemes. 34866 CR ATHURALIYA S, 2001, IEEE NETWORK, V15, P48 34867 DEB S, 2004, P JOINT INT C MEAS M, P246 34868 FLOYD S, 1993, IEEE ACM T NETWORK, V1, P397 34869 GURTOV A, 2004, COMPUT COMMUN REV, V34, P85 34870 KUNNIYUR SS, 2004, IEEE ACM T NETWORK, V12, P286 34871 LI VH, 2004, P 58 IEEE VEH TECHN, V4, P2302 34872 LONG CN, 2005, COMPUT NETW, V47, P525 34873 LOW SH, 2003, IEEE ACM T NETWORK, V11, P525 34874 OHSAKI H, 2002, IEICE T COMMUN EB, V85, P107 34875 PAGANINI F, 2002, SYST CONTROL LETT, V46, P165 34876 SAGFORS M, 2003, P IEEE WIR COMM NETW, V3, P1663 34877 WANG HS, 1995, IEEE T VEH TECHNOL, V44, P163 34878 NR 12 34879 TC 0 34880 PU HINDAWI PUBLISHING CORPORATION 34881 PI NEW YORK 34882 PA 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA 34883 SN 1687-1499 34884 J9 EURASIP J WIREL COMMUN NETW 34885 JI EURASIP J. Wirel. Commun. Netw. 34886 PY 2007 34887 AR 54038 34888 DI ARTN 54038 34889 PG 8 34890 SC Engineering, Electrical & Electronic; Telecommunications 34891 GA 192RI 34892 UT ISI:000248219500001 34893 ER 34894 34895 PT J 34896 AU Polyakov, V 34897 Fares, A 34898 Kubo, D 34899 Jacobi, J 34900 Smith, C 34901 AF Polyakov, V. 34902 Fares, A. 34903 Kubo, D. 34904 Jacobi, J. 34905 Smith, C. 34906 TI Evaluation of a non-point source pollution model, AnnAGNPS, in a 34907 tropical watershed 34908 SO ENVIRONMENTAL MODELLING & SOFTWARE 34909 LA English 34910 DT Article 34911 DE watershed; modeling; AnnAGNPS; erosion; water quality 34912 ID AGNPS MODEL; SOIL-EROSION; SCALE; SEDIMENT; PRECIPITATION; VALIDATION; 34913 SIMULATION; RAINFALL; SYSTEM; FOREST 34914 AB Impaired water quality caused by human activity and the spread of 34915 invasive plant and animal species has been identified as a major factor 34916 of degradation of coastal ecosystems in the tropics. The main goal of 34917 this study was to evaluate the performance of AnnAGNPS (Annualized 34918 Non-Point Source Pollution Model), in simulating runoff and soil 34919 erosion in a 48 km(2) watershed located on the Island of Kauai, Hawaii. 34920 The model was calibrated and validated using 2 years of observed stream 34921 flow and sediment load data. Alternative scenarios of spatial rainfall 34922 distribution and canopy interception were evaluated. Monthly runoff 34923 volumes predicted by AnnAGNPS compared well with the measured data (R-2 34924 = 0.90, P < 0.05); however, up to 60% difference between the actual and 34925 simulated runoff were observed during the driest months (May and July). 34926 Prediction of daily runoff was less accurate (R-2 = 0.55, P < 0.05). 34927 Predicted and observed sediment yield on a daily basis was poorly 34928 correlated (R-2 = 0.5, P < 0.05). For the events of small magnitude, 34929 the model generally overestimated sediment yield, while the opposite 34930 was true for larger events. Total monthly sediment yield varied within 34931 50% of the observed values, except for May 2004. Among the input 34932 parameters the model was most sensitive to the values of ground residue 34933 cover and canopy cover. It was found that approximately one third of 34934 the watershed area had low sediment yield (0-1 t ha(-1) Y-1), and 34935 presented limited erosion threat. However, 5% of the area had sediment 34936 yields in excess of 5 t ha(-1) y(-1). Overall, the model performed 34937 reasonably well, and it can be used as a management too] on tropical 34938 watersheds to estimate and compare sediment loads, and identify "hot 34939 spots" on the landscape. (C) 2007 Elsevier Ltd. All rights reserved. 34940 C1 Univ Hawaii, Dept Nat Resources & Environm Management, Honolulu, HI 96822 USA. 34941 USDA, Nat Resources Conservat Serv, Honolulu, HI 96850 USA. 34942 US Geol Survey, Pacific Isl Ecosyst Res Ctr, Hawaii Natl Pk, HI 96718 USA. 34943 RP Polyakov, V, Univ Hawaii, Dept Nat Resources & Environm Management, 34944 1910 East West Rd, Honolulu, HI 96822 USA. 34945 EM viktor@hawaii.edu 34946 CR *NOAA, 2000, MAIN 8 HAW ISL LAND 34947 *NRCS, 2004, SOIL SURV GEOGR DAT 34948 *SCS, 1972, HYDR NATL ENG HDB 34949 *SCS, 1986, 55 USDASCS 34950 *USDA, 1972, SOIL SURV KAUAI OAH 34951 BAGINSKA B, 2003, ENVIRON MODELL SOFTW, V18, P801 34952 BINGNER R, 1997, 972008 ASAE 34953 BORAH DK, 2003, T ASAE, V46, P1553 34954 BORAH DK, 2004, T ASAE, V47, P789 34955 BOSCH DD, 1998, 982195 ASAE 34956 BRANNAN K, 1998, T ASAE, V41, P1011 34957 CALHOUN RS, 1999, GEOMORPHOLOGY, V30, P213 34958 CAVELIER J, 1997, J HYDROL, V193, P83 34959 CROCKFORD RH, 2000, HYDROL PROCESS, V14, P2903 34960 DALY C, 1994, J APPL METEOROL, V33, P140 34961 EINSTEIN HA, 1954, 2 APPROXIMATION SOLU 34962 GIAMBELLUCA TW, 1986, R76 DEP LAND NAT RES 34963 GIAMBELLUCA TW, 2004, AM GEOPH UN FALL M S 34964 GRUNWALD S, 2000, AGR WATER MANAGE, V45, P17 34965 HAREGEWEYN N, 2003, AGR ECOSYST ENVIRON, V99, P201 34966 JOHNSON GL, 2000, J APPL METEOROL, V39, P778 34967 LENZI MA, 1997, EUR J AGRON, V6, P1 34968 LEON LF, 2003, ENVIRON MODELL SOFTW, V18, P531 34969 LEONARD RA, 1995, EUR J AGRON, V4, P485 34970 MITCHELL JK, 1993, WATER RESOUR BULL, V29, P833 34971 MOSTAGHIMI S, 1997, WATER RES, V31, P1867 34972 NASH JE, 1970, J HYDROL, V10, P282 34973 NEARING MA, 1990, T ASAE, V33, P839 34974 NEARING MA, 1998, CATENA, V32, P15 34975 OZARIO C, 2001, CERC8335 34976 PEKAROVA P, 1999, PHYS CHEM EARTH PT B, V24, P303 34977 PERRONE J, 1997, T ASAE, V40, P1349 34978 PETERSON DM, 1993, 93514 US GEOL SURV 34979 PETTYJOHN WA, 1979, 552 U WAT RES CTR OH 34980 RENARD KG, 1997, AGR HDB, V703 34981 SRIVASTAVA P, 2002, WATER RESOURCE RES, V38 34982 SUTTLES JB, 2003, T ASAE, V46, P1325 34983 THEURER FG, 1991, P 5 FED INT SED C JU 34984 TSOU MS, 2004, J ENVIRON SCI-CHINA, V16, P865 34985 VERSTRAETEN G, 2003, HYDROBIOLOGIA, V494, P153 34986 WILLIAMS JR, 1995, COMPUTER MODELS WATE, P909 34987 YUAN YP, 2001, T ASAE, V44, P1183 34988 ZHEN XY, 2004, J WATER RES PL-ASCE, V130, P339 34989 NR 43 34990 TC 0 34991 PU ELSEVIER SCI LTD 34992 PI OXFORD 34993 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND 34994 SN 1364-8152 34995 J9 ENVIRON MODELL SOFTW 34996 JI Environ. Modell. Softw. 34997 PD NOV 34998 PY 2007 34999 VL 22 35000 IS 11 35001 BP 1617 35002 EP 1627 35003 PG 11 35004 SC Computer Science, Interdisciplinary Applications; Engineering, 35005 Environmental; Environmental Sciences 35006 GA 192WD 35007 UT ISI:000248233200006 35008 ER 35009 35010 PT J 35011 AU Xu, YP 35012 Booij, MJ 35013 Mynett, AE 35014 AF Xu, Yue-Ping 35015 Booij, Martijn J. 35016 Mynett, Arthur E. 35017 TI An appropriateness framework for the Dutch Meuse decision support system 35018 SO ENVIRONMENTAL MODELLING & SOFTWARE 35019 LA English 35020 DT Article 35021 DE appropriateness framework; uncertainty analysis; sensitivity analysis; 35022 decision support systems; flood safety; dutch meuse river; uncertainty 35023 reduction 35024 ID SENSITIVITY ANALYSIS; MODEL PERFORMANCE; UNCERTAINTY; MANAGEMENT; 35025 COMPLEXITY; STRATEGIES; TOOL 35026 AB Models are essential in a decision support system for river basin 35027 management. In a decision support system for integrated planning and 35028 management, the use of appropriate models is important to avoid models 35029 being either too simple or too complex. In this paper, appropriate 35030 models refer to models that are good-enough-but-not-more-than-that to 35031 obtain an acceptable ranking of river engineering measures under 35032 uncertainty. A systematic approach called 'appropriateness framework' 35033 is proposed to determine appropriate models that can be used in a 35034 decision support system. The approach is applied to a decision support 35035 system for the Dutch Meuse River. One important component of this 35036 decision support system, flood safety, is used in this paper to 35037 demonstrate how this approach works. The results show that the approach 35038 is very useful in helping to determine appropriate models. Potential 35039 applications of the approach in other decision support systems are 35040 discussed. The approach presented in this paper is designed as a tool 35041 to stimulate the communication between decision makers and modelers and 35042 to promote the use of models in decision-making for river basin 35043 management. (C) 2007 Elsevier Ltd. All rights reserved. 35044 C1 Hong Kong Univ Sci & Technol, Dept Civil Engn, Kowloon, Hong Kong, Peoples R China. 35045 Univ Twente, Fac Engn, NL-7500 AE Enschede, Netherlands. 35046 WL Delft Hydraul, NL-2600 MH Delft, Netherlands. 35047 UNESCO IHE, NL-2601 DA Delft, Netherlands. 35048 RP Xu, YP, Zhejiang Univ, Inst Water Resource, Sch Architecture & Civil 35049 Engn, Hangzhou 310027, Peoples R China. 35050 EM yueping1126@gmail.com 35051 CR *EUR COMM, 2000, COMM PREC PRINC COM 35052 *MIN PUBL HOUS PHY, 1985, HAND UNC ENV IMP ASS 35053 *MIN TRANSP PUB WO, 1994, RES MEUS FLOOD 10 35054 *MIN TRANSP PUB WO, 1994, RES MEUS FLOOD 9 35055 *NAT RES COUNC, 2000, RISK AN UNC FLOOD DA 35056 *RWS, 1997, DAIL BORGH DISCH DAT 35057 *RWS, 2001, 7 VVM RWS 35058 ANDREU J, 1996, J HYDROL, V177, P269 35059 BARNWELL TO, 1986, DEV PROTOTYPE EXPERT 35060 BASSON L, 2007, ENVIRON MODELL SOFTW, V22, P167 35061 BEVINGTON PR, 1992, DATA REDUCTION ERROR 35062 BOOIJ MJ, 2003, HYDROL PROCESS, V17, P2581 35063 BROOKS RJ, 1996, MATH COMPUT MODEL, V24, P1 35064 CAMINITI JE, 2004, ENVIRON MODELL SOFTW, V19, P991 35065 CAMPOLONGO F, 1997, RELIAB ENG SYST SAFE, V57, P49 35066 CHWIF L, 2000, P 2000 WINT SIM C OR 35067 DEBLOIS CJ, 2000, UNCERTAINTY LARGE SC 35068 DEKORT IAT, 2004, ENVIRON MODELL SOFTW, V22, P128 35069 DORNER S, 2007, ENVIRON MODELL SOFTW, V22, P211 35070 DUCHESNE S, 2001, WATER SCI TECHNOL, V43, P311 35071 DUNN SM, 1996, J HYDROL, V177, P213 35072 FREAD DL, 1985, APPL CRITERIA KINEMA 35073 GIUPPONI C, 2007, ENVIRON MODELL SOFTW, V22, P248 35074 HOWARD RA, 1988, MANAGE SCI, V34, P679 35075 JAKEMAN AJ, 1993, WATER RESOUR RES, V29, P2637 35076 JAKEMAN AJ, 2006, ENVIRON MODELL SOFTW, V21, P602 35077 KAPLAN S, 1981, RISK ANAL, V1, P1 35078 KARL VB, 1999, STAT DISTRIBUTIONS E 35079 KEEN PGW, 1978, DECISION SUPPORT SYS 35080 KEISLER JM, 2002, J MULTICRITERIA DECI, V11, P315 35081 MATHESON D, 1998, SMART ORG 35082 MCMAHON GF, 1984, J WATER RES PL-ASCE, V110, P75 35083 MORGAN MG, 1990, UNCERTAINTY GUIDE DE 35084 MORRIS MD, 1991, TECHNOMETRICS, V33, P161 35085 NIHOUL JCJ, 1994, J MARINE SYSTEMS, V5, P401 35086 PERRIN C, 2001, J HYDROL, V242, P275 35087 RECKHOW KH, 1994, ENVIRON MANAGE, V18, P161 35088 REDA ALL, 1997, WATER SCI TECHNOL, V36, P357 35089 REICHERT P, 2005, ENVIRON MODELL SOFTW, V20, P991 35090 RHIJNSBURGER E, 1997, 5 U MAASTR 35091 ROGERS P, 1978, WATER RESOUR RES, V14, P1003 35092 SALTELLI A, 2000, SENSITIVITY ANAL 35093 SCHIELEN RMJ, 2003, PHYS CHEM EARTH, V28, P635 35094 SCHLUTER M, 2007, ENVIRON MODELL SOFTW, V22, P158 35095 SHAW EM, 1994, HYDROLOGY PRACTICE 35096 SOJDA RS, 2007, ENVIRON MODELL SOFTW, V22, P269 35097 VANASSELT MBA, 2000, PERSPECTIVES UNCERTA 35098 VREUGDENHIL CB, 2002, J AM WATER RESOUR AS, V38, P1083 35099 VREUGDENHIL CB, 2006, COAST ENG, V53, P303 35100 XU Y, UNPUB ENV MODELLING 35101 XU Y, 2004, T 2 BIENN M INT ENV, V2, P611 35102 XU Y, 2005, THESIS U TWENTE ENSC 35103 ZAGONA EA, 2001, J AM WATER RESOUR AS, V37, P913 35104 NR 53 35105 TC 0 35106 PU ELSEVIER SCI LTD 35107 PI OXFORD 35108 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND 35109 SN 1364-8152 35110 J9 ENVIRON MODELL SOFTW 35111 JI Environ. Modell. Softw. 35112 PD NOV 35113 PY 2007 35114 VL 22 35115 IS 11 35116 BP 1667 35117 EP 1678 35118 PG 12 35119 SC Computer Science, Interdisciplinary Applications; Engineering, 35120 Environmental; Environmental Sciences 35121 GA 192WD 35122 UT ISI:000248233200010 35123 ER 35124 35125 PT J 35126 AU Schott, S 35127 Buckley, NJ 35128 Mestelman, S 35129 Muller, RA 35130 AF Schott, Stephan 35131 Buckley, Neil J. 35132 Mestelman, Stuart 35133 Muller, R. Andrew 35134 TI Output sharing in partnerships as a common pool resource management 35135 instrument 35136 SO ENVIRONMENTAL & RESOURCE ECONOMICS 35137 LA English 35138 DT Article 35139 DE common pool resources; partners and strangers; experimental economics; 35140 collective action; natural resource management 35141 AB Many economic environments are susceptible to either free-riding or 35142 overuse. Common pool resources (CPRs) fall in the latter category. 35143 Equally sharing the output of a CPR in partnerships introduces a 35144 free-riding incentive that may offset overuse. Socially optimal 35145 harvesting can be induced by dividing the set of resource users into a 35146 number of partnerships in such a way that each resource users' tendency 35147 to over-harvest from the resource is exactly offset by his or her 35148 tendency to free-ride on the contributions of others. We conduct a 35149 laboratory experiment to assess the performance of this partnership 35150 solution by introducing equal-sharing subgroups of size one, four and 35151 six into a twelve-person CPR environment. Group assignment is either 35152 unchanging throughout a 15 period session or randomly mixed each 35153 decision round. Group size significantly affects aggregate effort, 35154 while group assignment makes no significant difference. The 35155 distribution of total payoffs is more equitable for randomly mixed 35156 groups. Implications of our results for voluntary and centralized 35157 implementations of the partnership solution are discussed. 35158 C1 Carleton Univ, Sch Publ Policy & Adm, Ottawa, ON K1S 5B6, Canada. 35159 York Univ, Econ Unit, Atkinson Fac Liberal & Profess Stuides, N York, ON M3J 1P3, Canada. 35160 McMaster Univ, Dept Econ, Hamilton, ON L8S 4M4, Canada. 35161 RP Schott, S, Carleton Univ, Sch Publ Policy & Adm, 1125 Colonel Dr, 35162 Ottawa, ON K1S 5B6, Canada. 35163 EM sschott@connect.carleton.ca 35164 nbuckley@yorku.ca 35165 mestelma@mcmaster.ca 35166 mullera@mcmaster.ca 35167 CR 2003, ECONOMIST 0224 35168 *OECD, 1997, SUST FISH EC ASP MAN 35169 ANDREONI J, 2005, IN PRESS HDB EXPT EC 35170 BROWN G, 1974, J POLITICAL EC, V82, P163 35171 CARPENTER J, 2004, UNPUB SOCIAL PREFERE 35172 CHAN KS, 1999, EXPT EC, V2, P5 35173 COPES P, 1986, LAND ECON, V62, P278 35174 DASGUPTA PS, 1979, EC THEORY EXHAUSTIBL 35175 HARDIN G, 1968, SCIENCE, V162, P1247 35176 HEINTZELMAN MD, 2006, PUTTING FREE RIDING 35177 ISAAC RM, 1988, ECON INQ, V26, P586 35178 KINUKAWA S, 2000, PACIFIC EC REV, V5, P411 35179 LEDYARD JO, 1995, HDB EXPT EC, P111 35180 NOUSSAIR CN, 1995, AM ECON REV, V85, P462 35181 OSTROM E, 1994, RULES GAMES COMMON P 35182 PARSONS LS, 1993, MANAGEMENT MARINE FI 35183 PLATTEAU JP, 2001, COMMUNITIES MARKETS, P344 35184 SCHOTT S, 2001, 4 TOUL C ENV RES EC 35185 SCHOTT S, 2004, OTTAWA SPENDS 2004 2, P151 35186 TIETENBERG T, 2002, DRAMA COMMONS, P197 35187 NR 20 35188 TC 0 35189 PU SPRINGER 35190 PI NEW YORK 35191 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 35192 SN 0924-6460 35193 J9 ENVIRON RESOUR ECON 35194 JI Environ. Resour. Econ. 35195 PD AUG 35196 PY 2007 35197 VL 37 35198 IS 4 35199 BP 697 35200 EP 711 35201 PG 15 35202 SC Economics; Environmental Studies 35203 GA 192KB 35204 UT ISI:000248199300005 35205 ER 35206 35207 PT J 35208 AU Jarungthammachote, S 35209 Dutta, A 35210 AF Jarungthammachote, S. 35211 Dutta, A. 35212 TI Thermodynamic equilibrium model and second law analysis of a downdraft 35213 waste gasifier 35214 SO ENERGY 35215 LA English 35216 DT Article 35217 DE downdraft waste gasifier; thermodynamic equilibrium model; second law 35218 analysis; municipal solid waste; waste to energy 35219 ID CIRCULATING FLUIDIZED-BED; FREE-ENERGY MINIMIZATION; BIOMASS 35220 GASIFICATION; PREDICTION; FUELS 35221 AB The management of municipal solid waste (MSW) and the current status of 35222 world energy resources crisis are important problems. Gasification is a 35223 kind of waste-to- energy conversion scheme that offers the most 35224 attractive solution to both waste disposal and energy problems. In this 35225 study, the thermodynamic equilibrium model based on equilibrium 35226 constant for predicting the composition of producer gas in a downdraft 35227 waste gasifier was developed. To enhance the performance of the model, 35228 further modification was made by multiplying the equilibrium constants 35229 with coefficients. The modified model was validated with the data 35230 reported by different researchers. MSW in Thailand was then used to 35231 simulate and to study the effects of moisture content (MC) of the waste 35232 on the gasifier's performance. The results showed that the mole 35233 fraction of H-2 gradually increases; CO decreases; CH4, which has a 35234 very low percentage in the producer gas increases; N-2 slightly 35235 decreases; and CO2 increases with increasing MC. The reaction 35236 temperature, the calorific value, and the second law efficiency, 35237 decrease when MC increases. (c) 2007 Elsevier Ltd. All rights reserved. 35238 C1 Asian Inst Technol, Sch Environm Resources & Develop, Energy Field Study, Pathum Thani 12120, Thailand. 35239 RP Dutta, A, Asian Inst Technol, Sch Environm Resources & Develop, Energy 35240 Field Study, PO Box 4 Klongluang, Pathum Thani 12120, Thailand. 35241 EM duttaa@ait.ac.th 35242 CR *AS I TECHN SCH EN, 2004, MUN SOL WAST MAN AS 35243 ALTAFINI CR, 2003, ENERG CONVERS MANAGE, V44, P2763 35244 BACON DW, 1982, FUNDAMENTALS THERMOC, P717 35245 BRUNNER RC, 2002, HDB SOLID WASTE MANA 35246 CENGEL YA, 2002, THERMODYNAMICS ENG A 35247 CHANNIWALA SA, 2002, FUEL, V81, P1051 35248 DESOUZASANTOS ML, 2004, SOLID FUELS COMBUSTI 35249 FILIPPIS PD, 2004, WASTE MANAGE, V24, P633 35250 GUMZ W, 1950, GAS PRODUCERS BLAST 35251 HIGMAN C, 2003, GASIFICATION 35252 JAYAH TH, 2003, BIOMASS BIOENERG, V25, P459 35253 KAUPP A, 1984, GASIFICATION RICH HU 35254 KOTAS TJ, 1985, ENERGY METHOD THERMA 35255 LI X, 2001, FUEL, V80, P195 35256 LI XT, 2004, BIOMASS BIOENERG, V26, P171 35257 MORRIS M, 1998, WASTE MANAGE, V18, P557 35258 PRINS MJ, 2005, ENERGY, V30, P982 35259 PROBSTIEN RF, 1982, SYNTHETIC FUEL 35260 RUGGIERO M, 1999, RENEW ENERG, V16, P1106 35261 TANG HQ, 2005, CHEM ENG J, V106, P261 35262 TCHOBANOGLOUS G, 1993, INTEGRATED SOLID WAS 35263 ZAINAL ZA, 2001, ENERG CONVERS MANAGE, V42, P1499 35264 NR 22 35265 TC 0 35266 PU PERGAMON-ELSEVIER SCIENCE LTD 35267 PI OXFORD 35268 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 35269 SN 0360-5442 35270 J9 ENERGY 35271 JI Energy 35272 PD SEP 35273 PY 2007 35274 VL 32 35275 IS 9 35276 BP 1660 35277 EP 1669 35278 PG 10 35279 SC Thermodynamics; Energy & Fuels 35280 GA 199ES 35281 UT ISI:000248679600008 35282 ER 35283 35284 PT J 35285 AU Buck, J 35286 Young, D 35287 AF Buck, J. 35288 Young, D. 35289 TI The potential for energy efficiency gains in the Canadian commercial 35290 building sector: A stochastic frontier study 35291 SO ENERGY 35292 LA English 35293 DT Article 35294 DE energy efficiency; commercial buildings; stochastic frontier 35295 ID PERFORMANCE 35296 AB The achievement of energy efficiency in commercial buildings is a 35297 function of the activities undertaken, the technology in place, and the 35298 extent to which those technologies are used efficiently. We study the 35299 factors that affect efficient energy use, in the Canadian commercial 35300 sector by applying a stochastic frontier approach to a cross-section of 35301 Canadian commercial buildings included in the Commercial and 35302 Institutional Building Energy Use Survey (CIBEUS). Structural and 35303 climate-control features of the buildings as well as climatic 35304 conditions are assumed to determine the location of the frontier, while 35305 management-related variables including such factors as ownership type 35306 and activities govern whether or not the maximally attainable 35307 efficiency along the frontier is achieved. Our results indicate that 35308 although, on average, buildings appear to be fairly efficient, certain 35309 types of operations are more likely than others to exhibit energy 35310 efficiencies that are significantly worse than average. These results, 35311 along with those related to the effects of physical characteristics on 35312 the stochastic efficiency frontier, suggest that there is scope for 35313 focused policy initiatives to increase energy efficiency in this 35314 sector. (c) 2006 Elsevier Ltd. All rights reserved. 35315 C1 Univ Alberta, Dept Econ, Edmonton, AB T6G 2H4, Canada. 35316 RP Young, D, Univ Alberta, Dept Econ, Edmonton, AB T6G 2H4, Canada. 35317 EM denise.young@ualberta.ca 35318 CR *DEP EN MIN RES, 1982, EN MIN RES CAN SAV E 35319 *ENV CAN, 2004, CLIM DAT ONL 35320 *OFF EN EFF, 2003, ENERGY USE DATA HDB 35321 *PAC GAS EL COMP, 2004, EN SAV RES BUS 35322 *US DEP EN EN INF, 1992, LIGHT EN CONS POT 35323 *US DEP EN ENE INF, 1995, MEAS EN EFF US EC BE 35324 *US DEP EN ENE INF, 2000, EN EFF MEAS DISC 35325 AIGNER DJ, 1977, J ECONOMETRICS, V6, P21 35326 ALAJUUSELA M, 2003, HEATING COOLING FOCU 35327 BARON SL, 1978, MANUAL ENERGY SAVING 35328 BATTESE GE, 1988, J ECONOMETRICS, V38, P387 35329 BECKER R, 2002, ENERG BUILDINGS, V34, P25 35330 CANBAY CS, 2004, ENERG BUILDINGS, V36, P587 35331 CHIOGIOJI MH, 1982, ENERGY CONSERVATION 35332 COELLI T, 1996, 9607 CEPA 35333 DUBIN FS, 1976, SAVE ENERGY CUT COST 35334 GREENE WH, 2002, LIMDEP VERSION 8 0 E 35335 HABIB M, 2003, FIRM VALUE MANAGERIA 35336 HOFLER RA, 1997, ECON LETT, V55, P293 35337 LINDBERG R, 2004, ENERG BUILDINGS, V36, P495 35338 MECKLER M, 1994, RETROFITTING BUILDIN 35339 MONTS JK, 1981, ENERGY, V7, P861 35340 PATRICK SR, 1993, ENERGY CONSERVATION 35341 SCHIPPER L, 1981, ENERGY, V8, P7 35342 SHUKUYA M, 2002, INTRO CONCEPT EXERGY 35343 THUMANN A, 2003, HDB ENERGY AUDITS 35344 WINKELMANN FC, 1985, ENERG BUILDINGS, V8, P1 35345 YOUNGER B, 1998, BUILDING ENVELOPE HL 35346 NR 28 35347 TC 0 35348 PU PERGAMON-ELSEVIER SCIENCE LTD 35349 PI OXFORD 35350 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 35351 SN 0360-5442 35352 J9 ENERGY 35353 JI Energy 35354 PD SEP 35355 PY 2007 35356 VL 32 35357 IS 9 35358 BP 1769 35359 EP 1780 35360 PG 12 35361 SC Thermodynamics; Energy & Fuels 35362 GA 199ES 35363 UT ISI:000248679600020 35364 ER 35365 35366 PT J 35367 AU Shimpalee, S 35368 Beuscher, U 35369 Van Zee, JW 35370 AF Shimpalee, S. 35371 Beuscher, U. 35372 Van Zee, J. W. 35373 TI Analysis of GDL flooding effects on PEMFC performance 35374 SO ELECTROCHIMICA ACTA 35375 LA English 35376 DT Article 35377 DE CFD; PEMFC model; water flooding; ES-PEMFC; gas diffusion layer 35378 ID ELECTROLYTE FUEL-CELLS; LIQUID WATER TRANSPORT; GAS-DIFFUSION MEDIA; 35379 CURRENT DISTRIBUTIONS; FLOW-FIELD; MODEL; LAYER; PREDICTIONS; SIMULATION 35380 AB One of the major concerns of the gas diffusion layer (GDL) inside a 35381 proton exchange membrane fuel cell (PEMFC) is water management. 35382 Treatment of the pores of the GDL can affect the PEMFC performance due 35383 to the degree of water flooding inside the GDL. In this work, GDL 35384 flooding was investigated using a simplified approach in an established 35385 numerical model. The predictions are compared with experimental data of 35386 GDLs with different treatments. Local distributions inside the cell are 35387 given and the effect of homogenous GDL flooding on these is discussed. 35388 (c) 2007 Elsevier Ltd. All rights reserved. 35389 C1 Univ S Carolina, Dept Chem Engn, Columbia, SC 29208 USA. 35390 WL Gore & Assoc Inc, Elkton, MD 21922 USA. 35391 RP Shimpalee, S, Univ S Carolina, Dept Chem Engn, Columbia, SC 29208 USA. 35392 EM shimpale@engr.sc.edu 35393 CR *CE AD GROUP, ES PEMFC METH TUT MA 35394 *CE AD GROUP, STAR CD 3 2 METH 35395 BASCHUK JJ, 2004, J POWER SOURCES, V142, P134 35396 KULIKOVSKY AA, 2005, J ELECTROCHEM SOC, V152, A1290 35397 LEE WK, 2003, J ELECTROCHEM SOC, V150, A341 35398 LITSTER S, 2006, J POWER SOURCES, V156, P334 35399 LIU XL, 2006, J POWER SOURCES, V158, P25 35400 MAZUMDER S, 2003, J ELECTROCHEM SOC, V150, A1510 35401 MENG H, 2004, CHEM ENG SCI, V59, P3331 35402 MENG H, 2005, FUEL CELLS, V5, P455 35403 MENG H, 2005, J ELECTROCHEM SOC, V152, A1733 35404 MUKHERJEE PP, 2006, J ELECTROCHEM SOC, V153, A840 35405 OOSTHUIZEN PH, 2005, APPL THERM ENG, V25, P1083 35406 PASAOGULLARI U, 2004, ELECTROCHIM ACTA, V49, P4359 35407 PASAOGULLARI U, 2004, J ELECTROCHEM SOC, V151, A399 35408 PHAROAH JG, 2005, J POWER SOURCES, V144, P77 35409 SHIMPALEE S, 2004, J POWER SOURCES, V135, P79 35410 SHIMPALEE S, 2006, J POWER SOURCES, V163, P480 35411 SHIMPALEE S, 2007, INT J HYDROGEN ENERG, V32, P842 35412 SIVERTSEN BR, 2005, J POWER SOURCES, V141 35413 WANG CY, 2004, CHEM REV, V104, P4727 35414 YING W, 2005, J POWER SOURCES, V145, P563 35415 ZHOU TH, 2004, J POWER SOURCES, V138, P101 35416 NR 23 35417 TC 0 35418 PU PERGAMON-ELSEVIER SCIENCE LTD 35419 PI OXFORD 35420 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 35421 SN 0013-4686 35422 J9 ELECTROCHIM ACTA 35423 JI Electrochim. Acta 35424 PD AUG 1 35425 PY 2007 35426 VL 52 35427 IS 24 35428 BP 6748 35429 EP 6754 35430 PG 7 35431 SC Electrochemistry 35432 GA 200SO 35433 UT ISI:000248783300021 35434 ER 35435 35436 PT J 35437 AU Garnett, ST 35438 Sayer, J 35439 du Toit, J 35440 AF Garnett, Stephen T. 35441 Sayer, Jeffrey 35442 du Toit, Johan 35443 TI Improving the effectiveness of interventions to balance conservation 35444 and development: a conceptual framework 35445 SO ECOLOGY AND SOCIETY 35446 LA English 35447 DT Review 35448 DE integrated conservation and development; natural capital; social capital 35449 ID CONSERVING TROPICAL BIODIVERSITY; SOCIAL-ECOLOGICAL SYSTEMS; HABITAT 35450 PROTECTION; RAIN-FORESTS; ARID END; MANAGEMENT; AFRICA; PERFORMANCE; 35451 RESILIENCE; GOVERNANCE 35452 AB There are numerous case studies around the world describing integrated 35453 conservation and development projects (ICDPs). Recently some localized 35454 syntheses have been published that use sophisticated statistics to 35455 identify patterns and causal linkages, but no attempt has yet been made 35456 to draw together lessons from across the globe. This paper is an 35457 attempt to provide a framework for such an analysis. A set of lessons 35458 is proposed for improving the prospects of ICDPs by giving 35459 consideration to each of the five capitals: natural, social, human, 35460 built, and financial. The language of ICDPs has been adopted by 35461 development agencies of all persuasions. There is now some urgency to 35462 identify the characteristics of the environment and the community in 35463 which success is most likely. This paper is intended as a step in that 35464 direction. 35465 C1 Utah State Univ, Logan, UT 84322 USA. 35466 CR ADAMS M, 2001, P SARPN C LAND REF P, P1 35467 ADAMS WM, 2004, SCIENCE, V306, P1146 35468 AGRAWAL A, 2001, WORLD DEV, V29, P1649 35469 AGRAWAL A, 2006, WORLD DEV, V34, P149 35470 ALLISON G, 2004, ECOL MONOGR, V74, P117 35471 ANDERIES JM, 2004, ECOL SOC, V9 35472 ANDERSON B, 1991, IMAGINED COMMUNITIES 35473 APPLEBY JO, 1976, PAST PRESENT, V71, P43 35474 APPLEBY JO, 1978, EC THOUGHT IDEOLOGY 35475 ASHLEY C, 2000, NATURAL RESOURCE PER, V51, P1 35476 ASWANI S, 2004, ENVIRON CONSERV, V31, P69 35477 BARRETT CB, 2005, WORLD DEV, V33, P193 35478 BEBBINGTON A, 1999, WORLD DEV, V27, P2021 35479 BERNOULLI D, 1954, ECONOMETRICA, V22, P23 35480 BHAGWAT SA, 2005, CONSERV BIOL, V19, P1853 35481 BINSWANGER HP, 1991, WORLD DEV, V19, P821 35482 BRASHARES JS, 2004, SCIENCE, V306, P1180 35483 BRASSELLE AS, 2002, J DEV ECON, V67, P313 35484 BROOKS JS, 2006, CONSERV BIOL, V20, P1528 35485 BURKE A, 2004, TRENDS ECOL EVOL, V19, P225 35486 BYERS BA, 2001, HUM ECOL, V29, P187 35487 CAMPBELL B, 2001, CONSERV ECOL, V5, P22 35488 CAMPBELL BMS, 2002, UNCOVERING HIDDEN HA 35489 CAMPBELL LM, 2003, HUM ECOL, V31, P417 35490 CARNEY D, 1998, SUSTAINABLE RURAL LI 35491 CHILD B, 2004, GETTING BIODIVERSITY, P256 35492 CINNER J, 2005, ECOL SOC, V10 35493 CONNELL JH, 1978, SCIENCE, V199, P1302 35494 CUMMINS RA, 2003, SOC INDIC RES, V64, P159 35495 DEBOTTON A, 2004, STATUS ANXIETY 35496 DEININGER K, 2004, UN FIG PC IDEA INTER, P1 35497 DUNBAR RIM, 1998, EVOL ANTHROPOL, V6, P178 35498 DUTOIT JT, 2004, TRENDS ECOL EVOL, V19, P226 35499 EVANS SM, 1997, FISH RES, V31, P83 35500 FEDDERKE JW, 2006, WORLD DEV, V34, P1037 35501 FEDER G, 1998, LAND USE POLICY, V15, P25 35502 FENTRESS J, 1992, SOCIAL MEMORY NEW PE 35503 FERRARO PJ, 2001, CONSERV BIOL, V15, P990 35504 FERRARO PJ, 2006, PLOS BIOL, V4, P482 35505 FRANKS P, 2004, GETTING BIODIVERSITY, P77 35506 GARTLAN S, 2004, GETTING BIODIVERSITY, P208 35507 GIBSON CC, 2005, WORLD DEV, V33, P273 35508 GJERTSEN H, 2005, WORLD DEV, V33, P199 35509 GREELEY A, 1993, J SCI STUD RELIG, V32, P19 35510 GROVE R, 1989, J S AFR STUD, V15, P163 35511 GUNDERSON L, 2002, PANARCHY UNDERSTANDI 35512 HARDIN G, 1968, SCIENCE, V162, P1248 35513 HARKES I, 2002, OCEAN COAST MANAGE, V45, P237 35514 HAYES TM, 2005, INDIANA LAW REV, V38, P595 35515 HELLQUIST A, 2004, THESIS LUND U LUND 35516 HOLLING CS, 1973, ANNUAL REV ECOLOGY S, V4, P1 35517 HORN HS, 1975, ECOLOGY EVOLUTION CO, P196 35518 HRUSCHKA DJ, 2006, J THEOR BIOL, V239, P1 35519 JOHANNESEN AB, 2006, ENVIRON DEV ECON 2, V11, P247 35520 JONES CB, 2004, J APPL ANIMAL WELFAR, V7, P127 35521 KAUFMANN D, 2005, GOVERNANCE MATTERS, V4 35522 KHALID FM, 2002, SOCIAL EC DIMENSIONS, P332 35523 KISS A, 2004, GETTING BIODIVERSITY, P98 35524 KISS A, 2004, TRENDS ECOL EVOL, V19, P232 35525 KNOTTS HG, 2006, COMMUNITY DEV J, V41, P37 35526 KREMEN C, 2000, SCIENCE, V288, P1828 35527 LAM WF, 1996, WORLD DEV, V24, P1301 35528 LEVANG P, 2003, P INT C RUR LIV FOR, P1 35529 LUTZ W, 2001, POPUL DEV REV, V27, P323 35530 MARKOWITZ H, 1999, FINANCIAL ANAL J, V55, P5 35531 MARKOWITZ HM, 1952, J FINANC, V7, P77 35532 MCSHANE TO, 2004, GETTING BIODIVERSITY, P3 35533 MCSHANE TO, 2004, GETTING BIODIVERSITY, P49 35534 MUSTERS CJM, 2001, CONSERV BIOL, V15, P363 35535 NEGI CS, 2005, INT J BIODIVERS SCI, V1, P85 35536 OHERRON M, 2004, GETTING BIODIVERSITY, P154 35537 OSTROM E, 1990, GOVERNING COMMONS EV 35538 OSTROM E, 2005, UNDERSTANDING I DIVE 35539 PASSMORE J, 1974, MANS RESPONSIBILITY 35540 POWELL F, 2006, COMMUNITY DEV J, V41, P128 35541 PRETTY J, 2003, SCIENCE, V302, P1912 35542 PRETTY J, 2004, CONSERV BIOL, V18, P631 35543 RIDDETT L, 1995, J AUSTR STUDIES, V44, P38 35544 ROBINSON JG, 2004, GETTING BIODIVERSITY, P10 35545 ROGERS PJ, 2005, AFRICAN STUDIES REV, V48, P143 35546 ROGOFF I, 2000, TERRA INFIRMA GEOGRA 35547 SALAFSKY N, 2001, CONSERV BIOL, V15, P1585 35548 SALAFSKY N, 2002, CONSERV BIOL, V16, P1469 35549 SALAFSKY N, 2004, GETTING BIODIVERSITY, P372 35550 SAYER J, 2004, GETTING BIODIVERSITY, P35 35551 SAYER J, 2004, SCI SUSTAINABLE DEV 35552 SCHRODER JM, 2001, ETFRN NEWS, V32, P12 35553 SCOTT JC, 1998, SEEING LIKE STATE CE 35554 SHARMA S, 1999, SOC NATUR RESOUR, V12, P599 35555 SIVARAKSA S, 1989, ZULAK, V24, P429 35556 SMITH RJ, 2005, ORYX, V39, P251 35557 STEM C, 2005, CONSERV BIOL, V19, P295 35558 STRUHSAKER TT, 2005, BIOL CONSERV, V123, P45 35559 SUTHERLAND WJ, 2004, TRENDS ECOL EVOL, V19, P305 35560 TAYLOR B, 2001, RELIGION, V31, P175 35561 THOMAS K, 1983, MAN NATURAL WORLD 35562 WALKER BH, 2006, ECOL SOC, V11 35563 WELLS MP, 2004, GETTING BIODIVERSITY, P397 35564 WUNDER S, 2001, EC DEFORESTATION EXA 35565 WUNDER S, 2005, PAYMENTS ENV SERVICE 35566 XU JC, 2005, ECOL SOC, V10 35567 ZAVALETA ES, 2004, SCIENCE, V306, P1175 35568 NR 102 35569 TC 0 35570 PU RESILIENCE ALLIANCE 35571 PI WOLFVILLE 35572 PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA 35573 SN 1708-3087 35574 J9 ECOL SOC 35575 JI Ecol. Soc. 35576 PD JUN 35577 PY 2007 35578 VL 12 35579 IS 1 35580 AR 2 35581 DI ARTN 2 35582 PG 20 35583 SC Ecology 35584 GA 188FM 35585 UT ISI:000247904800016 35586 ER 35587 35588 PT J 35589 AU Halkos, G 35590 Sepetis, A 35591 AF Halkos, George 35592 Sepetis, Anastasios 35593 TI Can capital markets respond to environmental policy of firms? Evidence 35594 from Greece 35595 SO ECOLOGICAL ECONOMICS 35596 LA English 35597 DT Article 35598 DE environmental management; systematic risk; capital market; TGARCH 35599 ID CONDITIONAL HETEROSKEDASTICITY; PERFORMANCE; STANDARDS; POLLUTION; 35600 BEHAVIOR; CREATE; COST 35601 AB In this study we attempt to evaluate the stock value of Greek firms, 35602 which apply systems of environmental management in the light of 35603 systemic risk. Risk is examined empirically with the help of 35604 conditional volatility models of investment in environmental friendly 35605 firms. The empirical analysis relies on financial econometric models, 35606 which deter-mine the underlying conditional volatility. We find that 35607 improved environmental management system and environmental performance 35608 result in reductions in firms' beta. Specifically, our empirical 35609 estimates show evidence of volatility clustering, short- and long-run 35610 persistence of shocks to the returns of the market and asymmetry in the 35611 leverage effect between negative and positive shocks to returns. 35612 Finally, the macroeconomic factors proposed and included in the 35613 analysis have no statistical significant influence on the beta 35614 estimates in almost all cases. (c) 2007 Elsevier B.V. All rights 35615 reserved. 35616 C1 Univ Thessaloniki, Dept Econ, GR-38221 Volos, Greece. 35617 Univ Aegean, Dept Environm, Lab Corp Environm Policy & Managememt, GR-81100 Mitilini, Greece. 35618 RP Halkos, G, Alexandroupoleos 31,Ano Melissia, GR-15127 Athens, Greece. 35619 EM halkos@uth.gr 35620 CR *SOC INV FOR, 2005, REP SOC RESP INV TRE 35621 BARTH ME, 1994, J ACCOUNTING RES, V32, P177 35622 BERNDT ER, 1991, PRACTICE ECONOMETRIC 35623 BLACCONIERE WG, 1994, J ACCOUNT ECON, V18, P357 35624 BLACCONIERE WG, 1997, J ACCOUNTING AUDITIN, V12, P149 35625 BLUMBERG J, 1997, ENV PERFORMANCE SHAR 35626 BOLLERSLEV T, 1986, J ECONOMETRICS, V31, P307 35627 BOSCH JC, 1998, MANAGERIAL DECISION, V19, P167 35628 BOUMA JJ, 2001, SUSTAINABLE BANKING 35629 DITZ D, 1995, GREEN LEDGERS CASE S 35630 DOBERS P, 2001, ECOMANAGEMENT AUDITI, V8, P123 35631 DOWELL G, 2000, MANAGE SCI, V46, P1059 35632 ELKINGTON J, 2000, RESPONSIBLE INVESTME 35633 ENGLE R, 1993, J FINANC, V48, P987 35634 ENGLE RF, 1982, ECONOMETRICA, V50, P987 35635 FAYERS C, 2000, J ENV ASS POL MANAGE, V2, P173 35636 FELDMAN SJ, 1997, J INVESTING, V6, P87 35637 GARBER S, 1998, J ENVIRON ECON MANAG, V36, P267 35638 GENTRY SB, 1997, VALUING ENV FORTUNE 35639 GLOSTEN LR, 1993, J FINANC, V48, P1779 35640 GOODMAN SB, 2003, GAP GAAP EXAMINATION 35641 GUPTA S, 2005, ECOL ECON, V52, P81 35642 HALKOS G, 2002, BUSINESS STRATEGY EN, V11, P360 35643 HALL PL, 1998, J FINANCIAL STRATEGI, V11, P83 35644 HAMILTON JT, 1995, J ENVIRON ECON MANAG, V28, P98 35645 HART SL, 1996, BUSINESS STRATEGY EN, V5, P30 35646 HEINKEL R, 2001, J FINANC QUANT ANAL, V36, P431 35647 KARPOFF JM, 1998, ENV VIOLATIONS LEGAL, V71 35648 KING A, 2000, J IND ECOL, V4, P1 35649 KLASSEN RD, 1996, MANAGE SCI, V42, P1199 35650 KONAR S, 2001, REV ECON STAT, V83, P281 35651 LANOIE P, 1998, ECOL ECON, V26, P31 35652 LORRAINE N, 2004, ACCOUNTING FORUM, V28, P7 35653 NELSON DB, 1991, ECONOMETRICA, V59, P347 35654 PALMER K, 1995, J ECON PERSPECT, V9, P119 35655 PORTER ME, 1995, J ECON PERSPECT, V9, P97 35656 REED D, 1998, GREEN SHAREHOLDER VA 35657 REINDERS AHME, 1999, RENEW SUST ENERG REV, V3, P1 35658 REINHARDT FL, 1999, HARVARD BUS REV, V77, P149 35659 SCHALTEGGER S, 2000, ECOMANAGEMENT AUDITI, V7, P29 35660 SEPETIS A, 2005, INT C RHOD GLOB NET 35661 THOMAS A, 2001, BUSINESS STRATEGY EN, P125 35662 WHITE M, 1995, RES CORPORATE SOCIAL, V1, P323 35663 YAMASHITA M, 1999, NURS SCI QUART, V12, P73 35664 ZAKOIAN JM, 1991, THRESHOLD HETEROSKED 35665 ZIEGLER A, 2002, EFFECT ENV SOCIAL PE 35666 NR 46 35667 TC 0 35668 PU ELSEVIER SCIENCE BV 35669 PI AMSTERDAM 35670 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 35671 SN 0921-8009 35672 J9 ECOL ECON 35673 JI Ecol. Econ. 35674 PD AUG 1 35675 PY 2007 35676 VL 63 35677 IS 2-3 35678 BP 578 35679 EP 587 35680 PG 10 35681 SC Ecology; Economics; Environmental Sciences 35682 GA 190VU 35683 UT ISI:000248089500030 35684 ER 35685 35686 PT J 35687 AU Iervolino, I 35688 Giorgio, M 35689 Manfredi, G 35690 AF Iervolino, Iunio 35691 Giorgio, Massimiliano 35692 Manfredi, Gaetano 35693 TI Expected loss-based alarm threshold set for earthquake early warning 35694 systems 35695 SO EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS 35696 LA English 35697 DT Article 35698 DE earthquake early warning; real-time seismology; loss assessment; 35699 performance-based earthquake engineering 35700 ID GROUND MOTIONS 35701 AB Earthquake early warning systems (EEWS) seem to have potential as tools 35702 for real-time seismic risk management and mitigation. In fact, although 35703 the evacuation of buildings requires warning time not available in many 35704 urbanized areas threatened by seismic hazard, they may still be used 35705 for the real-time protection of critical facilities using automatic 35706 systems in order to reduce the losses subsequent to a catastrophic 35707 event. This is possible due to the real-time seismology, which consists 35708 of methods and procedures for the rapid estimation of earthquake 35709 features, as magnitude and location, based on measurements made on the 35710 first seconds of the P-waves. An earthquake engineering application of 35711 earthquake early warning (EEW) may be intended as a system able to 35712 issue the alarm, if some recorded parameter exceeds a given threshold, 35713 to activate risk mitigation actions before the quake strikes at a site 35714 of interest. Feasibility analysis and design of such EEWS require the 35715 assessment of the expected loss reduction due to the security action 35716 and set of the alarm threshold. In this paper a procedure to carry out 35717 these tasks in the performance-based earthquake engineering 35718 probabilistic framework is proposed. A merely illustrative example 35719 refers to a simple structure assumed to be a classroom. Structural 35720 damage and non-structural collapses are considered; the security action 35721 is to shelter occupants below the desks. The cost due to a false alarm 35722 is assumed to be related to the interruption of didactic activities. 35723 Results show how the comparison of the expected losses, for the 35724 alarm-issuance and non-issuance cases, allows Setting the alarm 35725 threshold on a quantitative and consistent basis, and how it may be a 35726 tool for the design of engineering applications of EEW. Copyright (c) 35727 2007 John Wiley & Sons, Ltd. 35728 C1 Univ Naples Federico 2, Dipartimento Analisi & Progettazione Strutturale, I-80125 Naples, Italy. 35729 Seconda Univ Napoli, Dipartimento Ingn Agrospaziale & Meccan, I-81031 Aversa, Italy. 35730 RP Iervolino, I, Univ Naples Federico 2, Dipartimento Analisi & 35731 Progettazione Strutturale, Via Claudio 21, I-80125 Naples, Italy. 35732 EM iunio.iervolino@unina.it 35733 CR *MIN LAV PUBBL, 1975, NORM IT MAT ED SCOL 35734 ALLEN RM, 2003, SCIENCE, V300, P786 35735 ASLANI A, 2005, THESIS STANFORD U CA 35736 BAKER JW, 2006, B SEISMOL SOC AM, V96, P215 35737 BERGER JO, 1985, STAT DECISION THEORY 35738 CORNELL CA, 2000, PEER CTR NEW, V3, P4 35739 CORNELL CA, 2004, 200405 PAC EARTHQ EN 35740 HEATON TH, 1985, SCIENCE, V228, P987 35741 IERVOLINO I, 2006, P 1 EUR C EARTHQ ENG 35742 KANAMORI H, 2005, ANN REV EARTH PLANET, V33 35743 MCGUIRE RK, 1995, B SEISMOL SOC AM, V85, P1275 35744 MOOD MA, 1988, INTRO STAT 35745 OCCHIUZZI A, 2006, 4 WORLD C STRUCT CON 35746 PORTER K, 2006, 200203 PAC EARTHQ EN 35747 SABETTA F, 1996, B SEISMOL SOC AM, V86, P337 35748 SATRIANO C, 2007, EARTHQUAKE EARLY WAR 35749 VAMVATSIKOS D, 2002, EARTHQUAKE ENG STRUC, V31, P491 35750 WALD DJ, 1999, EARTHQ SPECTRA, V15, P537 35751 WALD DJ, 1999, EARTHQ SPECTRA, V15, P557 35752 WIELAND M, 2001, EARTHQUAKE ALARM RAP 35753 YEO GL, 2005, 149 BLUM EARTHQ ENG 35754 ZOLLO A, 2007, EARTHQUAKE EARLY WAR 35755 NR 22 35756 TC 0 35757 PU JOHN WILEY & SONS LTD 35758 PI CHICHESTER 35759 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 35760 SN 0098-8847 35761 J9 EARTHQUAKE ENG STRUC DYNAM 35762 JI Earthq. Eng. Struct. Dyn. 35763 PD JUL 25 35764 PY 2007 35765 VL 36 35766 IS 9 35767 BP 1151 35768 EP 1168 35769 PG 18 35770 SC Engineering, Civil; Engineering, Geological 35771 GA 189NW 35772 UT ISI:000247996700003 35773 ER 35774 35775 PT J 35776 AU Pagliusi, SR 35777 Garland, SM 35778 AF Pagliusi, Sonia R. 35779 Garland, Suzanne M. 35780 TI International standard reagents for HPV detection 35781 SO DISEASE MARKERS 35782 LA English 35783 DT Article 35784 DE papillomavirus; cervical cancer; diagnostic; genital infection; 35785 hybridization; PCR; serology; vaccine 35786 ID HUMAN-PAPILLOMAVIRUS TYPE-16; CERVICAL INTRAEPITHELIAL NEOPLASIA; 35787 RANDOMIZED CONTROLLED-TRIAL; GLUTATHIONE-S-TRANSFERASE; VIRUS-LIKE 35788 PARTICLES; YOUNG-WOMEN; NEUTRALIZING EPITOPES; CANCER WORLDWIDE; POOLED 35789 ANALYSIS; RISK 35790 AB Humam papillomavirus is the commonest genital viral infection in 35791 healthy sexually active subjects, and the presence of chronic or 35792 persistent HPV types in genital cells may constitute a prognostic 35793 marker of underlying, or predict future HPV-associated diseases. A 35794 variety of novel tests for detecting the presence of oncogenic HPV 35795 types in biological specimens have been reported. These are based on 35796 the various stages of infection and viral life cycle. HPV infects 35797 squamous epithelium with expression of various gene products intimately 35798 linked to epithelial cell differentiation. Hence, there are basically 35799 three classes of detectable markers directly derived from HPVs: 35800 molecular markers based on detection of nucleic acid sequences, 35801 serological markers based on detection of antibodies against viral 35802 proteins, and cellular markers based on detection of proteins expressed 35803 intracellularly, upon either infection or carcinogenesis. The nature of 35804 various assays and the development of international standard reagents 35805 for qualitative and quantitative assessment of assay performance are 35806 outlined. There is an increasing demand to develop standard tools to 35807 assess the quality of HPV detection systems, for regulatory and 35808 clinical management purposes. International standard reagents for HPV 35809 will help defining the analytical sensitivity and specificity of 35810 various detection methods, and will allow assuring that laboratory 35811 services used to evaluate disease burden, HPV vaccines, and cancer 35812 prevention strategies are accurate and comparable worldwide. The 35813 advancement of prophylactic vaccine candidates against HPV infections 35814 and related diseases stresses the increasing importance of HPV assays 35815 in monitoring the impact of HPV vaccination on disease burden. 35816 C1 WHO, Dept Immunizat Vaccines & Biol, CH-1211 Geneva 27, Switzerland. 35817 Royal Hosp Women, Dept Infect Dis & Microbiol, Melbourne, Vic, Australia. 35818 Univ Melbourne, Dept Obstet & Gynaecol, Parkville, Vic 3052, Australia. 35819 RP Pagliusi, SR, WHO, Dept Immunizat Vaccines & Biol, Ave Appia 20, 35820 CH-1211 Geneva 27, Switzerland. 35821 EM pagliusi@who.int 35822 CR TECH WORKSH INT COLL 35823 2005, IARC MONOGRAPHS EVAL 35824 *WHO, WHO EXP COMM BIOL ST 35825 *WHO, WHO TECHN REP SER 35826 *WHO, 2001, WHO INF WORKSH DEV I 35827 *WHO, 2005, WHO TECHN WORKSH CEL 35828 BASEMAN JG, 2005, J CLIN VIROL S, V32, P16 35829 CARTER JJ, 2001, CANCER RES, V61, P1934 35830 CASTELLSAGUE X, 2003, J NATL CANC I MONOGR, V31, P20 35831 CASTLE PE, 2005, J NATL CANCER I, V97, P1066 35832 CLIFFORD GM, 2003, BRIT J CANCER, V88, P63 35833 CLIFFORD GM, 2005, LANCET, V366, P991 35834 CUZICK J, 2003, LANCET, V362, P1871 35835 DIAS D, 2005, CLIN DIAGN LAB IMMUN, V12, P959 35836 ELFGREN K, 2002, OBSTET GYNECOL 1, V100, P965 35837 FERGUSON M, 2006, INT J CANCER, V118, P1508 35838 GALLOWAY DA, 2003, LANCET INFECT DIS, V8, P469 35839 GARCIACLOSAS R, 2005, INT J CANCER, V117, P629 35840 GUSTAFSSON L, 1997, CANCER CAUSE CONTROL, V8, P755 35841 HARPER DM, 2004, LANCET, V364, P1757 35842 HARRO CD, 2001, J NATL CANCER I, V93, P284 35843 HO GYF, 1998, NEW ENGL J MED, V338, P423 35844 IFTNER T, 2003, J NATL CANC I MONOGR, V31, P80 35845 JENNINGS C, 2005, J CLIN MICROBIOL, V43, P5950 35846 JOSEFSSON A, 1999, J CLIN MICROBIOL, V37, P490 35847 KEATING JT, 2001, AM J SURG PATHOL, V25, P884 35848 KIMBAUER R, 1996, INTERVIROLOGY, V39, P54 35849 KIYONO T, 1997, P NATL ACAD SCI USA, V94, P11612 35850 KLAES R, 1999, CANCER RES, V59, P6132 35851 KORNEGAY JR, 2003, J CLIN MICROBIOL, V41, P1080 35852 KOUTSKY LA, 2002, NEW ENGL J MED, V347, P1645 35853 LEHTINEN M, 2003, AM J OBSTET GYNECOL, V188, P49 35854 LIE AK, 2005, GYNECOL ONCOL, V97, P908 35855 LORINCZ A, 2001, PAPILLOMAVIRUS REP, V12, P145 35856 LOWY DR, 2001, FIELDS VIROLOGY 35857 MAO C, 2006, OBSTET GYNECOL, V107, P18 35858 MARAIS DJ, 2001, J MED VIROL, V65, P149 35859 MIDDLETON K, 2003, J VIROL, V77, P10186 35860 MONSONEGO J, 2005, GYNECOL ONCOL, V99, P160 35861 MUNOZ N, 2003, NEW ENGL J MED, V348, P518 35862 NARDELLIHAEFLIGER D, 2003, J NATL CANCER I, V95, P1128 35863 NOBBENHUIS MAE, 2002, BRIT J CANCER, V87, P75 35864 OHLSCHLAGER P, 2003, J VIROL, V77, P4635 35865 OPALKA D, 2003, CLIN DIAGN LAB IMMUN, V10, P108 35866 OSTOR AG, 1993, INT J GYNECOL PATHOL, V12, P86 35867 PAPANICOLAOU GN, 1941, AM J OBSTET GYNECOL, V42, P193 35868 PARKIN DM, 2005, CA-CANCER J CLIN, V55, P74 35869 PARKIN DM, 2006, INT J CANCER, V118, P3030 35870 PASTRANA DV, 2004, VIROLOGY, V321, P205 35871 QUINT WGV, 2006, J CLIN MICROBIOL, V44, P571 35872 RODEN RBS, 1996, J VIROL, V70, P3298 35873 SALDANHA J, 2005, VOX SANG, V89, P52 35874 SCHILLER JT, 1999, MOL MED TODAY, V5, P209 35875 SCHIRM J, 2002, J CLIN MICROBIOL, V40, P2973 35876 SCHLECHT NF, 2005, ONCOL REP, V14, P1239 35877 SCHMITT M, 2006, J CLIN MICROBIOL, V44, P504 35878 SEHR P, 2002, J VIROL METHODS, V106, P61 35879 SEO SS, 2006, GYNECOL ONCOL, V102, P67 35880 SHIN HR, 2004, J INFECT DIS, V190, P468 35881 SILINS I, 2002, GYNECOL ONCOL, V85, P333 35882 SMITH JS, 2004, INT J CANCER, V111, P431 35883 SNIJDERS PJF, 2003, J PATHOL, V201, P1 35884 VILLA LL, 2005, LANCET ONCOL, V6, P271 35885 VINOKUROVA S, 2005, METH MOLEC MED, V119, P73 35886 WALBOOMERS JMM, 1999, J PATHOL, V189, P12 35887 WANG X, 2005, J GEN VIROL, V85, P65 35888 WATERBOER T, 2005, CLIN CHEM, V51, P1845 35889 WATERBOER T, 2005, J IMMUNOL METHODS, V309, P200 35890 WENTZENSEN N, 2005, CANCER CYTOPATHOL, V105, P461 35891 WRIGHT TC, 2000, JAMA-J AM MED ASSOC, V283, P81 35892 WRIGHT TC, 2004, OBSTET GYNECOL, V103, P304 35893 YLITALO N, 2000, LANCET, V355, P2194 35894 ZURHAUSEN H, 1976, CANCER RES, V36, P794 35895 ZURHAUSEN H, 2002, NAT REV CANCER, V2, P342 35896 NR 74 35897 TC 0 35898 PU IOS PRESS 35899 PI AMSTERDAM 35900 PA NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS 35901 SN 0278-0240 35902 J9 DISEASE MARKER 35903 JI Dis. Markers 35904 PY 2007 35905 VL 23 35906 IS 4 35907 BP 283 35908 EP 296 35909 PG 14 35910 SC Biotechnology & Applied Microbiology; Genetics & Heredity; Medicine, 35911 Research & Experimental; Pathology 35912 GA 199XD 35913 UT ISI:000248727600009 35914 ER 35915 35916 PT J 35917 AU MacKown, CT 35918 Heitholt, JJ 35919 Rao, SC 35920 AF MacKown, Charles T. 35921 Heitholt, James J. 35922 Rao, Srinivas C. 35923 TI Agronomic feasibility of a continuous double crop of winter wheat and 35924 soybean forage in the southern Great Plains 35925 SO CROP SCIENCE 35926 LA English 35927 DT Article 35928 ID LEGUME GREEN MANURES; QUALITY; REGISTRATION; YIELD; PERFORMANCE; 35929 CULTIVAR; RELEASE; SYSTEMS 35930 AB In the southern Great Plains, dryland double-cropping soybean [Glycine 35931 max (L.) Merr] after winter wheat (Triticum aestivum L.) could provide 35932 quality summer forage, partially offset mineral fertilizer N applied to 35933 winter wheat, and lessen soil erosion. Waiting for wheat grain to 35934 mature, however, delays soybean planting and subjects growth to dry and 35935 hot conditions. Planting soybean after a hay crop of wheat investigated 35936 to determine the feasibility of the system as a source of livestock 35937 feeds and N uptake by both crops. Twelve treatment com-112 kg N ha(-1)) 35938 and six summer management treatments (fallow: conventional and no-till; 35939 soybean: grazed, cut for hay, green manure, and mulch) were arranged in 35940 strips across four replications. Soybean biomass ranged from 1.35 to 35941 from 129 to 220 g kg(-1) resulting in a 3-yr average uptake of 44 kg 35942 ha(-1). Within each N fertilizer level, average wheat forage yields 35943 were not different, but yield increased 29% with N fertilizer and crude 35944 protein was inversely related to yield.,Double-cropped soybean failed 35945 to offer any yield-enhancing N benefit to wheat or enhance soil N and C 35946 content after 3 yr, even when used. as a green manure. Unless a 35947 producer is willing to accept the low productivity of soybean as a 35948 double crop with wheat, the feasibility of this dryland double-crop 35949 forage system is limited. 35950 C1 USDA ARS, Grazinglands Res Lab, El Reno, OK 73036 USA. 35951 Texas Agr Exptl Stn, Dallas, TX 75252 USA. 35952 RP MacKown, CT, USDA ARS, Grazinglands Res Lab, 7207 W Cheyenne St, El 35953 Reno, OK 73036 USA. 35954 EM Charles.MacKown@ars.usda.gov 35955 CR *NAT RES COUNC, 1984, NUTR REQ BEEF CATTL 35956 *SAS I, 2005, SAS STAT US GUID REL 35957 ARTHINGTON JD, 2005, J ANIM SCI, V83, P1726 35958 BOWEN WT, 1988, PLANT SOIL, V111, P75 35959 BROWN PL, 1971, AGRON J, V63, P43 35960 DALRYMPLE RL, 1999, CRABGRASS FORAGE MAN, P1 35961 DEVINE TE, 1998, CROP SCI, V38, P1719 35962 DEVINE TE, 1998, CROP SCI, V38, P1720 35963 DEVINE TE, 2004, CROP SCI, V44, P1020 35964 FEHR WR, 1977, 80 LOW STAT U 35965 HEITHOLT JJ, 2004, FORAGE SOYBE PROVIDE 35966 HINTZ RW, 1992, AGRON J, V84, P795 35967 HINTZ RW, 1994, AGRON J, V86, P59 35968 HOSSAIN I, 2004, WHEAT PRODUCTION PRA 35969 KEIM KR, 2003, PRODUCING SOYBEAN WH 35970 LITTELL RC, 1996, SAS SYSTEM MIXED MOD 35971 MITCHELL R, 2001, AGRON J, V93, P118 35972 MUSICK JT, 1994, AGRON J, V86, P980 35973 PERRY LJ, 1979, AGRON J, V71, P355 35974 PINCHAK WE, 1996, J RANGE MANAGE, V49, P126 35975 RAO SC, 2005, CROP SCI, V45, P1973 35976 READFERN DD, 1999, CROP SCI, V39, P1380 35977 SALVATOR K, 1995, COMMUN SOIL SCI PLAN, V26, P469 35978 SAXTON AM, 1998, P 23 SAS US GROUP IN, P1243 35979 SHEAFFER CC, 1992, J PROD AGRIC, V5, P33 35980 SHEAFFER CC, 2001, AGRON J, V93, P99 35981 THONNISSEN C, 2000, AGRON J, V92, P245 35982 THONNISSEN C, 2000, AGRON J, V92, P253 35983 ZEIHER C, 1982, AGRON J, V74, P375 35984 NR 29 35985 TC 0 35986 PU CROP SCIENCE SOC AMER 35987 PI MADISON 35988 PA 677 S SEGOE ROAD, MADISON, WI 53711 USA 35989 SN 0011-183X 35990 J9 CROP SCI 35991 JI Crop Sci. 35992 PD JUL-AUG 35993 PY 2007 35994 VL 47 35995 IS 4 35996 BP 1652 35997 EP 1660 35998 PG 9 35999 SC Agronomy 36000 GA 197UQ 36001 UT ISI:000248582400037 36002 ER 36003 36004 PT J 36005 AU Garcia, LC 36006 Anson, SG 36007 AF Garcia, Laura Cabeza 36008 Anson, Silvia Gomez 36009 TI Governance and performance of Spanish privatised firms 36010 SO CORPORATE GOVERNANCE-AN INTERNATIONAL REVIEW 36011 LA English 36012 DT Article 36013 DE privatisation; public offerings; performance; corporate governance 36014 ID CORPORATE GOVERNANCE; OPERATING PERFORMANCE; AUDIT COMMITTEE; 36015 DEVELOPING-COUNTRIES; EARNINGS MANAGEMENT; EMPIRICAL-ANALYSIS; 36016 OWNERSHIP; BOARD; LIBERALIZATION; TURNOVER 36017 AB This paper analyses the effect of the Spanish privatisation process on 36018 the performance and corporate governance of the firms that were 36019 privatised through public offerings over the 1985-2003 period. Using 36020 conventional pre- versus post-privatisation comparisons, we do not find 36021 significant improvements in privatised firms' profitability and 36022 efficiency. However, our results do suggest a change in firms' 36023 ownership structure and in the characteristics of Boards of Directors 36024 after privatisation. Firms' ownership concentration decreases as a 36025 consequence of the relinquishment of control by the State and the 36026 Boards of Directors are restructured with the creation of new 36027 specialised committees and the incorporation of more executives. 36028 C1 Univ Leon, Dept Business Adm, Fac Econ & Business Adm, E-24071 Leon, Spain. 36029 Univ Oviedo, Oviedo, Spain. 36030 RP Garcia, LC, Univ Leon, Dept Business Adm, Fac Econ & Business Adm, 36031 Campus Vegazana SN, E-24071 Leon, Spain. 36032 EM laura.cabeza@unileon.es 36033 CR ARCAS MJ, 1999, HACIENDA PUBLICA ESP, V38, P21 36034 AROCENA P, 2003, CES WARW U JOINT C P 36035 BISHOP M, 1992, INFORM COMERCIAL ESP, V707, P22 36036 BOSCH T, 2002, 11 C NAC AS EUR EC D, P269 36037 BOUBAKRI N, 1998, J FINANC, V53, P1081 36038 BOUBAKRI N, 2005, J CORP FINANC, V11, P767 36039 BOUBAKRI N, 2005, J FINANC ECON, V76, P369 36040 BOUTCHKOVA MK, 2000, FINANCIAL MANAGE WIN, P31 36041 BOYCKO M, 1993, PRIVATIZATING RUSSIA 36042 BRICKLEY JA, 1997, J CORP FINANC, V3, P189 36043 DAHYA J, 2002, J FINANC, V57, P461 36044 DEMSETZ H, 1985, J POLIT ECON, V93, P1155 36045 DENIS DJ, 1999, J FINANC ECON, V52, P187 36046 DSOUZA J, 1999, J FINANC, V54, P1397 36047 DSOUZA J, 2005, J CORP FINANC, V11, P747 36048 EARLE JS, 2002, J COMP ECON, V30, P657 36049 FERNANDEZ E, 2005, EUR FIN MAN 2005 S L 36050 FRYDMAN R, 1999, CORPORATE GOVERNANCE 36051 FRYDMAN R, 2000, ECON TRANSIT, V8, P577 36052 GREEN R, 1994, PRIVATIZATION EC PER 36053 HERNANDEZCASTIL.N, 2000, PRIVATIZACIONES LIBE 36054 JENSEN MC, 1983, ACCOUNT REV, V58, P319 36055 KIKERI S, 1992, PRIVATIZATION LESSON 36056 KLEIN A, 2002, ACCOUNT REV, V77, P435 36057 KLEIN A, 2002, J ACCOUNT ECON, V33, P375 36058 KOSE J, 1998, J BANK FINANC, V22, P371 36059 LAPORTA R, 1998, J POLIT ECON, V106, P1113 36060 MARTIN S, 1997, IMPACT PRIVATIZATION 36061 MEGGINSON WL, 1994, J FINANC, V49, P403 36062 MEGGINSON WL, 2001, J ECON LIT, V39, P321 36063 MELLE M, 1999, EC IND, V330, P141 36064 NEWBERY DM, 1997, EUR ECON REV, V41, P357 36065 PESTIEAU P, 1993, FINANZARCHIV, V50, P293 36066 QI D, 2000, PACIFIC BASIN FINANC, V8, P587 36067 ROMERO AM, 2005, THESIS COMPLUTENSE U 36068 SANCHIZ JA, 1996, REV EC APLICADA, V10, P65 36069 SHIVDASANI A, 1999, J FINANC, V54, P1829 36070 SHLEIFER A, 1994, Q J ECON, V109, P995 36071 SHLEIFER A, 1997, J FINANC, V52, P737 36072 VINING AR, 1992, PUBLIC CHOICE, V73, P205 36073 WEISBACH MS, 1988, J FINANC ECON, V20, P431 36074 XIE B, 2003, J CORP FINANC, V9, P295 36075 YARROW G, 1986, ECON POLICY, V2, P324 36076 NR 43 36077 TC 0 36078 PU BLACKWELL PUBLISHING 36079 PI OXFORD 36080 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 36081 SN 0964-8410 36082 J9 CORP GOV 36083 JI Corp. Gov. 36084 PD JUL 36085 PY 2007 36086 VL 15 36087 IS 4 36088 BP 503 36089 EP 519 36090 PG 17 36091 SC Management 36092 GA 192TT 36093 UT ISI:000248226600002 36094 ER 36095 36096 PT J 36097 AU Ruigrok, W 36098 Peck, S 36099 Tacheva, S 36100 AF Ruigrok, Winfried 36101 Peck, Simon 36102 Tacheva, Sabina 36103 TI Nationality and gender diversity on Swiss corporate boards 36104 SO CORPORATE GOVERNANCE-AN INTERNATIONAL REVIEW 36105 LA English 36106 DT Article 36107 DE board composition; nationality diversity; gender diversity; directors' 36108 characteristics 36109 ID STRATEGIC CHANGE; WOMEN DIRECTORS; FIRM; PERFORMANCE; GOVERNANCE; TEAM; 36110 OWNERSHIP; RESOURCE; IMPACT; AGENCY 36111 AB For a sample of 210 Swiss publicly listed firms we analyse the 36112 characteristics of all 1678 directors in the year 2003 in order to 36113 investigate how board members' nationality and gender interact with 36114 directors' level of independence, number of other directorships and 36115 demographic characteristics. Our results suggest that whereas foreign 36116 directors tend to be more independent, women directors are more likely 36117 to be affiliated to firm management through family ties and that 36118 foreign directors hold significantly lower numbers of directorships at 36119 other Swiss boards. Female and foreign directors also differ in terms 36120 of educational background, educational level, age and board tenure. 36121 Some of our gender diversity findings are different from previous 36122 research. We conclude that in order to manage diversity on corporate 36123 boards it is imperative to understand the characteristics, 36124 qualifications and affiliations that these directors bring to the 36125 boardroom and that it is important to take national circumstances into 36126 account rather than relying on research results from other countries. 36127 C1 Case Western Reserve Univ, Weatherhead Sch Management, Cleveland, OH 44106 USA. 36128 Univ St Gallen, MBA Programme, St Gallen, Switzerland. 36129 Copenhagen Sch Econ & Business Adm, Dept Int Econ & Management, Copenhagen, Denmark. 36130 RP Peck, S, Case Western Reserve Univ, Weatherhead Sch Management, 36131 Cleveland, OH 44106 USA. 36132 EM simon.peck@case.edu 36133 CR ARFKEN DE, 2004, J BUS ETHICS, V50, P177 36134 ASHKANASY NM, 2002, J MANAGE, V28, P307 36135 AU K, 2000, ASIA PACIFIC J MANAG, V17, P29 36136 BARNHART S, 1994, MANAGERIAL DECISION, V15, P329 36137 BAYSINGER BD, 1985, J LAW ECON ORGAN, V1, P101 36138 BOYD B, 1990, STRATEGIC MANAGE J, V11, P419 36139 BURKE R, 2000, WOMEN CORPORATE BOAR 36140 BURKE RJ, 1997, CORP GOV, V5, P118 36141 BURKE RJ, 1997, J BUS ETHICS, V16, P909 36142 CARPENTER MA, 2001, ACAD MANAGE J, V44, P493 36143 CARPENTER MA, 2004, J MANAGE, V30, P747 36144 CARTER DA, 2003, FINANCIAL REV, V38, P33 36145 CONYON MJ, 1997, CORP GOV, V5, P112 36146 DAILY CM, 1994, ACAD MANAGE J, V37, P1603 36147 DAILY CM, 1999, STRATEGIC MANAGE J, V20, P93 36148 DAILY CM, 2003, ACAD MANAGE REV, V28, P371 36149 DAILY CM, 2003, J BUS STRAT, V24, P8 36150 ERHARDT NL, 2003, CORP GOV, V11, P102 36151 FAMA EF, 1980, J POLITICAL EC, V88, P288 36152 FAMA EF, 1983, J LAW ECON, V26, P301 36153 GOLDEN BR, 2001, STRATEGIC MANAGE J, V22, P1087 36154 GOODSTEIN J, 1994, STRATEGIC MANAGE J, V15, P241 36155 GOSPEL H, 2005, CORPORATE GOVERNANCE 36156 HENDRY K, 2004, CORP GOV, V12, P500 36157 HERMALIN BE, 1988, RAND J ECON, V19, P589 36158 HILLMAN AJ, 2000, J MANAGE STUD, V37, P235 36159 HILLMAN AJ, 2002, J MANAGE, V28, P747 36160 JACKSON SE, 2001, HDB WORK ORG PSYCHOL 36161 JACKSON SE, 2002, HDB WORK GROUP PSYCH 36162 JACKSON SE, 2003, J MANAGE, V29, P801 36163 JACKSON SE, 2004, J ORGAN BEHAV, V25, P675 36164 JENSEN MC, 1976, J FINANC ECON, V3, P305 36165 JUDGE WQ, 1992, ACAD MANAGE J, V35, P766 36166 KESNER IF, 1988, ACAD MANAGE J, V31, P66 36167 KOSNIK RD, 1987, ADMIN SCI QUART, V32, P163 36168 LAPORTA R, 1999, J FINANC, V54, P471 36169 MILLIKEN FJ, 1996, ACAD MANAGE REV, V21, P402 36170 MIZRUCHI MS, 1996, ANNU REV SOCIOL, V22, P271 36171 OXELHEIM L, 2003, J BANK FINANC, V27, P2369 36172 PEARCE JA, 1991, STRATEGIC MANAGE J, V12, P135 36173 PELLED LH, 1996, ORGAN SCI, V7, P615 36174 PENG MW, 2001, ASIA PACIFIC J MANAG, V18, P161 36175 PENNINGS JM, 1980, INTERLOCKING DIRECTO 36176 PFEFFER J, 1972, ADM SCI Q, V17, P218 36177 PFEFFER J, 1978, EXTERNAL CONTROL ORG 36178 RINDOVA VP, 1999, J MANAGE STUD, V36, P953 36179 ROBINSON G, 1997, ACAD MANAGEMENT EXEC, V11, P21 36180 RUIGROK W, 1999, STRANGE BEDFELLOWS F 36181 RUIGROK W, 2005, STICKINESS LOCAL ROO 36182 SANDERS WG, 1998, ACAD MANAGE J, V41, P158 36183 SHRADER CB, 1991, J MANAGERIAL ISSUES, V3, P46 36184 SHRADER CB, 1997, J MANAGERIAL ISSUES, V9, P355 36185 SINGH V, 2001, CORP GOV, V9, P206 36186 SINGH V, 2004, CORP GOV, V12, P479 36187 VANDERWALT N, 2003, CORP GOV, V11, P218 36188 WESTPHAL JD, 1995, ADMIN SCI QUART, V40, P60 36189 WESTPHAL JD, 2000, ADMIN SCI QUART, V45, P366 36190 WIERSEMA MF, 1992, ACAD MANAGE J, V35, P91 36191 WILLIAMS KY, 1998, RES ORGAN BEHAV, V20, P77 36192 NR 59 36193 TC 0 36194 PU BLACKWELL PUBLISHING 36195 PI OXFORD 36196 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 36197 SN 0964-8410 36198 J9 CORP GOV 36199 JI Corp. Gov. 36200 PD JUL 36201 PY 2007 36202 VL 15 36203 IS 4 36204 BP 546 36205 EP 557 36206 PG 12 36207 SC Management 36208 GA 192TT 36209 UT ISI:000248226600005 36210 ER 36211 36212 PT J 36213 AU Sanchez-Ballesta, JP 36214 Garcia-Meca, E 36215 AF Sanchez-Ballesta, Juan Pedro 36216 Garcia-Meca, Emma 36217 TI Ownership structure, discretionary accruals and the informativeness of 36218 earnings 36219 SO CORPORATE GOVERNANCE-AN INTERNATIONAL REVIEW 36220 LA English 36221 DT Article 36222 DE corporate governance; ownership structure; discretionary accruals; 36223 capital markets 36224 ID CORPORATE GOVERNANCE; MANAGERIAL OWNERSHIP; INVESTOR PROTECTION; 36225 EMPIRICAL-ANALYSIS; BONUS SCHEMES; MANAGEMENT; FIRM; DETERMINANTS; 36226 MANIPULATION; PERFORMANCE 36227 AB In this paper we use panel data methodology to examine the relationship 36228 between ownership structure, discretionary accruals and the 36229 informativeness of earnings for a sample of Spanish non-financial 36230 companies listed on the Madrid Stock Exchange during the period 36231 1999-2002. We find a non-linear relationship between insider ownership 36232 and discretionary accruals and between insider ownership and earnings 36233 explanatory power for returns. This supports the hypothesis that 36234 insider ownership contributes both to the informativeness of earnings 36235 and to constraining earnings management when the proportion of shares 36236 held by insiders is not too high. When insiders own a large percentage 36237 of shares, however, they are entrenched and the relation between 36238 insider ownership, discretionary accruals and earnings informativeness 36239 reverses. 36240 C1 Univ Murcia, Accounting & Finance Dept, Murcia 30003, Spain. 36241 RP Sanchez-Ballesta, JP, Univ Murcia, Accounting & Finance Dept, Avda 36242 Teniente Flomesta,5, Murcia 30003, Spain. 36243 EM juanpsb@um.es 36244 CR 1998, INFORME COMITE OLIVE 36245 2002, INFORME COMISION ESP 36246 AGRAWAL A, 1996, J FINANC QUANT ANAL, V31, P377 36247 ALCARRIA J, 2004, EUROPEAN ACCOUNTING, V13, P73 36248 BALTAGI BH, 1994, J ECONOMETRICS, V62, P67 36249 BOUBAKRI N, 2005, J FINANC ECON, V76, P369 36250 BRICK IE, 2005, SIMULTANEOUS ESTIMAT 36251 CHO MH, 1998, J FINANC ECON, V47, P103 36252 CHUNG W, 2004, SPR TRA ADV ROBOT, V13, P1 36253 CLOYD CB, 1996, J ACCOUNTING RES, V34, P23 36254 COLLINS DW, 1989, J ACCOUNT ECON, V11, P143 36255 DEBOS A, 2004, CORP GOV, V12, P60 36256 DECHOW PM, 1995, ACCOUNT REV, V70, P193 36257 DEFOND ML, 1994, J ACCOUNT ECON, V17, P145 36258 DEMIGUEL A, 2004, STRATEGIC MANAGE J, V25, P1199 36259 DEMSETZ H, 1983, J LAW ECON, V11, P143 36260 DEMSETZ H, 2001, J CORP FINANC, V7, P209 36261 FAN JPH, 2002, J ACCOUNT ECON, V33, P401 36262 GABRIELSEN G, 2002, J BUSINESS FINANCE A, V29, P967 36263 GUL FA, 2002, J ACCOUNTING AUDITIN, V17, P25 36264 GUL FA, 2003, CONTEMP ACCOUNT RES, V20, P441 36265 HAUSMAN JA, 1978, ECONOMETRICA, V46, P1251 36266 HEALY P, 1999, ACCOUNTING HORIZONS, V13, P365 36267 HEALY PM, 1985, J ACCOUNT ECON, V7, P85 36268 HIMMELBERG CP, 1999, J FINANC ECON, V53, P353 36269 HOLTHAUSEN RW, 1995, J ACCOUNT ECON, V19, P29 36270 JENSEN MC, 1976, J FINANC ECON, V3, P305 36271 JENSEN MC, 1986, MIDLAND CORPORATE FI, V4, P6 36272 JETER D, 1999, ACCOUNTING BUSINESS, V29, P299 36273 JONES JJ, 1991, J ACCOUNTING RES, V29, P193 36274 KLASSEN KJ, 1997, ACCOUNT REV, V72, P455 36275 KLEIN A, 2002, J ACCOUNT ECON, V33, P375 36276 LAPORTA R, 1997, J FINANC, V52, P1131 36277 LAPORTA R, 1999, J FINANC, V54, P471 36278 LARCKER DF, 2004, J ACCOUNTING RES, V42, P625 36279 LEUZ C, 2003, J FINANC ECON, V69, P505 36280 MCCONNELL JJ, 1990, J FINANC ECON, V27, P595 36281 MORCK R, 1988, J FINANC ECON, V20, P293 36282 PALIA D, 2001, REV FINANC STUD, V14, P735 36283 PARK YW, 2004, J CORP FINANC, V10, P431 36284 PEASNELL KV, 2000, ACCOUNTING BUSINESS, V30, P313 36285 SHORT H, 1999, J CORP FINANC, V5, P79 36286 SKINNER D, 1999, REV ACCOUNT STUD, V7, P287 36287 WARFIELD TD, 1995, J ACCOUNT ECON, V20, P61 36288 YEO GHH, 2002, J BUSINESS FINANCE A, V29, P1023 36289 NR 45 36290 TC 0 36291 PU BLACKWELL PUBLISHING 36292 PI OXFORD 36293 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 36294 SN 0964-8410 36295 J9 CORP GOV 36296 JI Corp. Gov. 36297 PD JUL 36298 PY 2007 36299 VL 15 36300 IS 4 36301 BP 677 36302 EP 691 36303 PG 15 36304 SC Management 36305 GA 192TT 36306 UT ISI:000248226600014 36307 ER 36308 36309 PT J 36310 AU O'Neill, G 36311 AF O'Neill, Graham 36312 TI A priori conceptions, methodological dogmatism and theory versus 36313 practice: three reasons why CEO pay research lacks convergence 36314 SO CORPORATE GOVERNANCE-AN INTERNATIONAL REVIEW 36315 LA English 36316 DT Article 36317 DE agency theory; non-executive directors; executive remuneration 36318 (compensation); CEO 36319 ID CORPORATE GOVERNANCE; EXECUTIVE-COMPENSATION; DIRECTORS; MANAGEMENT; 36320 ACCOUNTABILITY; REMUNERATION; BOARDROOM; TRENDS; WORK; UK 36321 AB Pay Without Performance: The Unfilled Promise of Executive Compensation 36322 by Lucian Bebchuk and Jesse Fried (Harvard University Press, 2004) 36323 challenges the view that executive remuneration arrangements are 36324 designed to maximise shareholder value. The authors argue that 36325 managerial power results in remuneration being structured to benefit 36326 executives at the expense of shareholders. This paper contends that 36327 Bebchuk and Fried's approach illustrates issues that contribute to the 36328 problematic nature of executive remuneration research. In particular, 36329 it is proposed that a priori conceptions about executive remuneration, 36330 methodological dogmatism in research approaches and a significant gap 36331 between theory and practice, each contribute to the lack of convergence 36332 in executive pay research. Illustrative data taken from interview-based 36333 research conducted with Australian non-executive directors supports the 36334 view that reliance on economic efficiency arguments alone does not 36335 provide a sufficient framework to explain the subjective, judgemental 36336 and socially interactive processes involved in determining executive 36337 pay. 36338 C1 RMIT Business, Sch Management, Melbourne, Vic 3001, Australia. 36339 RP O'Neill, G, RMIT Business, Sch Management, POB 2476V, Melbourne, Vic 36340 3001, Australia. 36341 EM oneillg@bigpond.net.au 36342 CR 2004, AUSTR FINANCIAL 1109, S10 36343 2004, ECONOMIST 1209 36344 BAINBRIDGE SM, 2005, TEX LAW REV, V83, P1615 36345 BAKER GP, 1988, J FINANC, V43, P593 36346 BEBCHUK L, 2004, PAY PERFORMANCE UNFI 36347 BENDER R, 2003, CORP GOV, V11, P206 36348 BENDER R, 2004, CORP GOV, V12, P521 36349 CONYON MJ, 2000, LONG RANGE PLANN, V33, P478 36350 DAILY CM, 2003, ACAD MANAGE REV, V28, P371 36351 DAINES R, 2004, GOOD BAD LUCKY CEO P 36352 DAVIS JH, 1997, ACAD MANAGE REV, V22, P20 36353 EZZAMEL M, 1998, ACAD MANAGE J, V41, P221 36354 FORBES DP, 1999, ACAD MANAGE REV, V24, P489 36355 GHOSHAL S, 2005, ACAD MANAG LEARN EDU, V4, P75 36356 GOMEZMEJIA L, 1992, COMPENSATION ORG STR 36357 GORDON J, 2005, J CORPORATION LAW 36358 HERMALIN BE, 2003, FRBNY EC POLICY REV, P7 36359 HERMALIN BE, 2005, J FINANC, V60, P2351 36360 HIMMELBERG CP, 2000, INCENTIVE PAY MARKET 36361 JENSEN MC, 1976, J FINANC ECON, V3, P305 36362 KAHNEMAN D, 2003, AM ECON REV, V93, P162 36363 KERR J, 1987, ACAD MANAGE J, V30, P645 36364 LETENDRE L, 2004, ACAD MANAGE EXEC, V18, P101 36365 MCCONVILL J, 2005, FALSE PROMISE PAY PE 36366 MCNULTY T, 1996, CORP GOV, V4, P160 36367 MURPHY KJ, 2002, U CHICAGO LAW REV, V69, P847 36368 MURPHY KJ, 2004, AM ECON REV, V94, P192 36369 PARK YW, 2001, J FINANC RES, V24, P347 36370 PETTIGREW A, 1998, EUROPEAN J WORK ORG, V7, P197 36371 PETTIGREW AM, 1992, STRATEGIC MANAGE J, V13, P163 36372 PRIEST M, 2004, AUSTR FINANCIAL 0109, P1 36373 PRIEST M, 2004, AUSTR FINANCIAL 0109, P6 36374 ROBERTS J, 2001, HUM RELAT, V54, P1547 36375 ROBERTS J, 2002, LONG RANGE PLANN, V35, P493 36376 ROBERTS J, 2005, BRIT J MANAGE, V16, S5 36377 SHIELDS J, 2003, BUCKS STOP HERE PRIV 36378 SIMON HA, 1957, SOCIOMETRY, V20, P32 36379 STILES P, 2002, BOARDS WORK DIRECTOR 36380 THOMPSON S, 2005, CORP GOV, V13, P19 36381 ZAJAC EJ, 1995, ADMIN SCI QUART, V40, P283 36382 NR 40 36383 TC 0 36384 PU BLACKWELL PUBLISHING 36385 PI OXFORD 36386 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 36387 SN 0964-8410 36388 J9 CORP GOV 36389 JI Corp. Gov. 36390 PD JUL 36391 PY 2007 36392 VL 15 36393 IS 4 36394 BP 692 36395 EP 700 36396 PG 9 36397 SC Management 36398 GA 192TT 36399 UT ISI:000248226600015 36400 ER 36401 36402 PT J 36403 AU Lira, EM 36404 Ripoll, P 36405 Peiro, JM 36406 Gonzalez, P 36407 AF Lira, Eva M. 36408 Ripoll, Pilar 36409 Peiro, Jose M. 36410 Gonzalez, Pilar 36411 TI The roles of group potency and information and communication 36412 technologies in the relationship between task conflict and team 36413 effectiveness: A longitudinal study 36414 SO COMPUTERS IN HUMAN BEHAVIOR 36415 LA English 36416 DT Article 36417 DE group potency; communication media; task conflict; team effectiveness; 36418 longitudinal study 36419 ID COMPUTER-MEDIATED COMMUNICATION; GROUP DECISION-MAKING; TOP MANAGEMENT 36420 TEAMS; INTRAGROUP CONFLICT; GROUP EFFICACY; GROUP-LEVEL; PERFORMANCE; 36421 WORK; METAANALYSIS; INTERDEPENDENCE 36422 AB The effects of task conflict on group effectiveness are far from 36423 conclusive. In order to further clarify this relationship, a 36424 contingency approach has been suggested. In this context, the present 36425 study examines the roles of group potency and information and 36426 communication technologies (ICTs) in the relationship between task 36427 conflict and team effectiveness. The study involved 44 groups of 4 36428 members each, working in two communication media. Twenty-two groups 36429 worked in a face-to-face condition, and the other 22 groups worked in a 36430 computer-mediated communication condition. The groups developed a 36431 project during four weekly sessions over a one-month period. The 36432 results showed that group potency moderated the relationship between 36433 task conflict and group effectiveness. However, the communication 36434 medium did not play a moderator role in these relationships. (C) 2006 36435 Elsevier Ltd. All rights reserved. 36436 C1 Univ Valencia, Fac Psychol, IVIE, Dept Social Psychol, E-46010 Valencia, Spain. 36437 RP Peiro, JM, Univ Valencia, Fac Psychol, IVIE, Dept Social Psychol, Av 36438 Blasco Ibanez 21, E-46010 Valencia, Spain. 36439 EM Eva.Lira@uv.es 36440 Pilar.Ripoll@uv.es 36441 Jose.M.Peiro@uv.es 36442 Pilar.Glez-Navarro@uv.es 36443 CR AJCCARD J, 1990, INTERACTION EFFECTS 36444 AMASON AC, 1997, J MANAGE, V23, P495 36445 BALTES BB, 2002, ORGAN BEHAV HUM DEC, V87, P156 36446 CAPLAN RD, 1975, J APPL PSYCHOL, V60, P713 36447 CHAMPOUX JE, 1987, J OCCUP PSYCHOL, V60, P243 36448 CHEN MH, 2006, CREATIVITY INNOVATIO, V15, P105 36449 COHEN J, 1983, APPL MULTIPLE REGRES 36450 CRONBACH LJ, 1987, PSYCHOL BULL, V102, P414 36451 CULNAN MJ, 1987, HDB ORG COMMUNICATIO, P420 36452 DAFT RL, 1984, RES ORGAN BEHAV, V6, P191 36453 DAFT RL, 1986, MANAGE SCI, V32, P554 36454 DECHURCH LA, 2001, INT J CONFL MANAGE, V12, P4 36455 DEDREU CKW, 2001, J ORGAN BEHAV, V22, P309 36456 DEDREU CKW, 2003, INT HDB ORG TEAMWORK, P150 36457 DEDREU CKW, 2003, J APPL PSYCHOL, V88, P741 36458 EDMONDSON A, 1999, ADMIN SCI QUART, V44, P350 36459 FINKEL SE, 1995, SAGE U PAPER SERIES, V7105 36460 GIBSON CB, 1999, ACAD MANAGE J, V42, P138 36461 GIBSON CB, 2000, GROUP ORGAN MANAGE, V25, P67 36462 GONZALEZ MG, 2003, COMPUT HUM BEHAV, V19, P629 36463 GULLY SM, 2002, J APPL PSYCHOL, V87, P819 36464 GUZZO RA, 1993, BRIT J SOC PSYCHOL, V32, P87 36465 GUZZO RA, 1995, TEAM EFFECTIVENESS D, P1 36466 HACKMAN JR, 1987, HDB ORG BEHAV, P315 36467 HOGG MA, 1998, EUR J SOC PSYCHOL, V28, P323 36468 ILGEN DR, 2005, ANNU REV PSYCHOL, V56, P517 36469 JACKSON SE, 1995, DIVERSITY WORK TEAMS 36470 JANSSEN O, 1999, J MANAGE, V25, P117 36471 JEHN KA, 1994, INT J CONFL MANAGE, V5, P223 36472 JEHN KA, 1995, ADMIN SCI QUART, V40, P256 36473 JEHN KA, 1997, ADMIN SCI QUART, V42, P530 36474 JEHN KA, 1997, INT J CONFL MANAGE, V8, P287 36475 JEHN KA, 2000, INT J CONFL MANAGE, V11, P56 36476 JEHN KA, 2003, RES ORGAN BEHAV, V25, P187 36477 JEX SM, 1999, J APPL PSYCHOL, V84, P349 36478 JUNG D, 1999, GROUP DYNAMICS, V3, P279 36479 KORSGAARD MA, 1995, ACAD MANAGE J, V38, P60 36480 KUHN T, 2000, HUM COMMUN RES, V26, P558 36481 KURTZBERG TR, 2000, DISS ABSTR INT, V51, P2270 36482 LEBIE L, 1996, COMPUTER SUPPORTED C, V4, P127 36483 LEE C, 2002, J APPL SOC PSYCHOL, V32, P1628 36484 LESTER SW, 2002, ACAD MANAGE J, V45, P352 36485 LINDELL MK, 2001, APPL PSYCH MEAS, V25, P89 36486 LOVELACE K, 2001, ACAD MANAGE J, V44, P779 36487 MCGRATH JE, 1984, GROUPS INTERACTION P 36488 MCGRATH JE, 1993, GROUP SUPPORT SYSTEM, P78 36489 MCGRATH JE, 1994, GROUPS INTERACTING T 36490 MCGRATH JE, 1998, APPL THEORY RES GROU, V4, P205 36491 MOHRMAN SA, 1995, DESIGNING TEAM BASED 36492 MORTENSEN M, 2001, INT J CONFL MANAGE, V12, P212 36493 NIJDAM NE, 1998, THESIS U AMSTERDAM N 36494 PEARCE CL, 2002, J OCCUP ORGAN PSYC 1, V75, P115 36495 PELLED LH, 1999, ADMIN SCI QUART, V44, P1 36496 PLEWIS I, 1985, ANAL CHANGE MEASUREM 36497 PORTER ME, 1991, STRATEGY MANAGEMENT, V12, P92 36498 PRIEM RL, 1995, J MANAGE, V21, P691 36499 RODRIGUEZ I, 2001, WORK STRESS, V15, P97 36500 SHORT JA, 1976, SOCIAL PSYCHOL TELEC 36501 SIMONS TL, 2000, J APPL PSYCHOL, V85, P102 36502 SIVASUBRAMANIAM N, 2002, GROUP ORGAN MANAGE, V27, P66 36503 SOSIK JJ, 1997, J APPL PSYCHOL, V82, P89 36504 TANNENBAUM SI, 1992, ISSUES THEORY RES IN, P117 36505 TANNENBAUM SI, 1996, HDB WORK GROUP PSYCH, P503 36506 THATCHER SMB, 2003, GROUP DECIS NEGOT, V12, P217 36507 WALTHER JB, 1995, ORGAN SCI, V6, P186 36508 WEST MA, 1996, J APPL PSYCHOL, V81, P680 36509 WEST MA, 1998, INT REV IND ORG PSYC, V13, P1 36510 YANG JX, 2004, J ORGAN BEHAV, V25, P589 36511 ZORNOZA A, 2002, SMALL GR RES, V33, P481 36512 NR 69 36513 TC 0 36514 PU PERGAMON-ELSEVIER SCIENCE LTD 36515 PI OXFORD 36516 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 36517 SN 0747-5632 36518 J9 COMPUT HUM BEHAV 36519 JI Comput. Hum. Behav. 36520 PD NOV 36521 PY 2007 36522 VL 23 36523 IS 6 36524 BP 2888 36525 EP 2903 36526 PG 16 36527 SC Psychology, Multidisciplinary; Psychology, Experimental 36528 GA 187JM 36529 UT ISI:000247843700019 36530 ER 36531 36532 PT J 36533 AU Sheu, DD 36534 Chen, DR 36535 AF Sheu, D. Daniel 36536 Chen, D. R. 36537 TI Backward design and cross-functional design management 36538 SO COMPUTERS & INDUSTRIAL ENGINEERING 36539 LA English 36540 DT Article 36541 DE design for excellence; backward design; cross-functional design 36542 management; design for manufacturing; design management 36543 AB This study establishes a framework for backward design analyses and 36544 cross-functional performance management system to achieve product 36545 design for excellence. The authors define backward design as opposed to 36546 regular forward design. A cross-functional viewpoint emphasizing 36547 downstream knowledge and lessons learned is introduced for proactive 36548 product design management. The study proposes several approaches for 36549 backward design endeavors, including Extended Failure Mode and Effect 36550 Analysis (EFMEA), Attributes Function Deployment (AFD), Feedback 36551 Tracking and Analysis System (FeTAS), Fuzzy Decision Tree, etc. Based 36552 on the backward design concerns, a cross-functional design management 36553 system is then established to serve as an incentive system for designer 36554 to incorporate cross-functional concerns. The contributions include: 36555 (1) Proposing backward design mechanisms; (2) Establishing a 36556 cross-functional design management system which is conducive to design 36557 for excellence. (c) 2007 Elsevier Ltd. All rights reserved. 36558 C1 Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu, Taiwan. 36559 RP Sheu, DD, Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, 36560 Hsinchu, Taiwan. 36561 EM dsheu@ie.nthu.edu.tw 36562 CR *GEN EL CO, 1960, MAN PROD HDB 36563 *PION QUAL FUNCT D, 1995, INTRO QUAL FUNCT DEP 36564 *PION QUAL FUNCT D, 1995, QUAL FUNCT DEPL HOW 36565 *PION REL RES GROU, 1988, PRACT FMEA FTA 36566 ALTING L, 1991, CONCURRENT ENG-RES A, V1, P19 36567 BOOTHROYD G, 1983, DESIGN ASSEMBLY DESI 36568 BOOTHROYD G, 1986, PRODUCT DESIGN ASSEM 36569 BOOTHROYD G, 1992, ANN CIRP, V41, P625 36570 BOOTHROYD G, 1994, PRODUCT DESIGN MANUF 36571 CHEN RY, 2005, COMPUTERS OPERATIONS 36572 CORBETT J, 1987, EUREKA TRANSFERS MAY, P59 36573 FIKSEL J, 1994, IEEE S ELECT ENV 36574 HENSTOCK ME, 1988, DESIGN RECYCLABILITY 36575 HSU SP, 2002, QFD FMEA INTEGRATED 36576 ISHII K, 1988, AI EDAM, V2, P53 36577 ISHII K, 1995, MANUFACTURING SCI EN, P921 36578 ISHIKAWA K, 1982, GUIDE QUALITY CONTRO 36579 ISHIKAWA K, 1991, INTRO QUALITY CONTRO 36580 JOVANE F, 1993, ANN CIRP, P1 36581 KUME H, 2002, QUALITY MANAGEMENT D 36582 LEONARD L, 1991, PLASTICS DESIGN FORU, P25 36583 LYU PJ, 1988, CONSTRUCTION CONCURR 36584 ODRISCOLL M, 2002, J MATER PROCESS TECH, P318 36585 OTTO K, 2001, PRODECT DESIGN TECHN 36586 PAHL G, 1996, ENG DESIGN SYSTEMATI 36587 RAU H, 2001, CHUNG YUAN J, V29, P399 36588 SHEU D, 2001, INT J IND ENG THEORY 36589 SHEU D, 2003, DESIGN EXCELLENCE DF 36590 SHEU D, 2004, J TECHNOLOGY MANAGEM, V9, P149 36591 SHEU D, 2004, NEW PRODUCT DEVELOPM 36592 SHEU DD, 2003, INT J PROD ECON, V84, P215 36593 STOLL HW, 1988, MANUFACTURING EN JAN, P67 36594 NR 32 36595 TC 0 36596 PU PERGAMON-ELSEVIER SCIENCE LTD 36597 PI OXFORD 36598 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 36599 SN 0360-8352 36600 J9 COMPUT IND ENG 36601 JI Comput. Ind. Eng. 36602 PD AUG 36603 PY 2007 36604 VL 53 36605 IS 1 36606 BP 1 36607 EP 16 36608 PG 16 36609 SC Computer Science, Interdisciplinary Applications; Engineering, 36610 Industrial 36611 GA 201NF 36612 UT ISI:000248838200001 36613 ER 36614 36615 PT J 36616 AU Bhagwat, R 36617 Sharma, MK 36618 AF Bhagwat, Rajat 36619 Sharma, Milind Kumar 36620 TI Performance measurement of supply chain management: A balanced 36621 scorecard approach 36622 SO COMPUTERS & INDUSTRIAL ENGINEERING 36623 LA English 36624 DT Article 36625 DE balanced scorecard; supply chain management; performance measurement; 36626 metrics; framework; case studies 36627 ID STRATEGIC MANAGEMENT; OPPORTUNITIES; SYSTEMS; IMPLEMENTATION; 36628 IMPROVEMENT; FRAMEWORK; SMES 36629 AB This paper develops a balanced scorecard for supply chain management 36630 (SCM) that measures and evaluates day-to-day business operations from 36631 following four perspectives: finance, customer, internal business 36632 process, and learning and growth. Balanced scorecard has been developed 36633 based on extensive review of literature on SCM performance measures, 36634 supported by three case studies, each illustrating ways in which BSC 36635 was developed and applied in small and medium sized enterprises (SMEs) 36636 in India. The paper further suggests that a balanced SCM scorecard can 36637 be the foundation for a strategic SCM system provided that certain 36638 development guidelines are properly followed, appropriate metrics are 36639 evaluated, and key implementation obstacles are overcome. The balanced 36640 scorecard developed in this paper provides a useful guidance for the 36641 practical managers in evaluation and measuring of SCM in a balanced way 36642 and proposes a balanced performance measurement system to map and 36643 analyze supply chains. While suggesting balanced scorecard, different 36644 SCM performance metrics have been reviewed and distributed into four 36645 perspectives. This helps managers to evaluate SCM performance in a 36646 much-balanced way from all angles of business. (c) 2007 Elsevier Ltd. 36647 All rights reserved. 36648 C1 Jai Narain Vyas Univ, Fac Engn & Architecture, MBM Engn Coll, Dept Prod & Ind Engn, Jodhpur, Rajasthan, India. 36649 Jai Narain Vyas Univ, Fac Engn & Architecture, MBM Engn Coll, Dept Mech Engn, Jodhpur, Rajasthan, India. 36650 RP Sharma, MK, Jai Narain Vyas Univ, Fac Engn & Architecture, MBM Engn 36651 Coll, Dept Prod & Ind Engn, Jodhpur, Rajasthan, India. 36652 EM milindksharma@rediffmail.com 36653 CR BARUA A, 1996, INFORM SYST RES, V7, P409 36654 BHAGWAT R, 2006, INT J ENT NET MANAGE, V1, P99 36655 BITITCI U, 2005, PROD PLAN CONTROL, V16, P99 36656 BITITICI US, 2002, MANUFACTURING ENG, V81, P230 36657 BOWER JL, 1988, HARVARD BUS REV, V66, P110 36658 CHAN FTS, 2002, P I MECH ENG B-J ENG, V216, P1155 36659 CHAN FTS, 2003, INT J ADV MANUF TECH, V21, P534 36660 CHAN FTS, 2003, MANAGE DECIS, V41, P635 36661 CHAN FTS, 2003, SUPPLY CHAIN MANAG, V8, P209 36662 CHAN FTS, 2006, INT J BUSINESS PERFO, V8, P110 36663 CHANDIA O, 2003, J HIGH ENERGY PHYS 36664 CHRISTOPHER M, 1992, LOGISTICS SUPPLY CHA 36665 CROSS KF, 1989, NAT PRODUCTION REV, V8, P23 36666 DIXION JR, 1990, NEW PERFORMANCE CHAL 36667 DOBLER DW, 1996, PURCHASING SUPPLY MA 36668 ELLRAM LM, 1991, INT J PURCHASING MAT, V27, P2 36669 FISHER LM, 1997, HARVARD BUSINESS MAR, P105 36670 GELDERS L, 1994, INT J PROD RES, V32, P797 36671 GHALAYINI AM, 1997, INT J PROD ECON, V48, P207 36672 GRAHAM TS, 1994, INT J PURCHASING MAT, V30, P13 36673 GUNASEKARAN A, 2001, INT J OPER PROD MAN, V21, P71 36674 GUNASEKARAN A, 2004, INT J PROD ECON, V87, P333 36675 HARRINGTON L, 1996, UNTAPPED SAVINGS ABO, P53 36676 HUDSON M, 2001, PROD PLAN CONTROL, V12, P804 36677 HVOLBY HH, 2002, COMPUT IND, V49, P3 36678 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 36679 KAPLAN RS, 1996, HARVARD BUS REV, V74, P75 36680 LANDEROS R, 1995, INT J PURCHASING MAT, V31, P3 36681 LEE HL, 1992, SLOAN MANAGE REV, V33, P65 36682 LETZA SR, 1996, BUSINESS PROCESS REE, V2, P54 36683 LEVY DL, 1997, SLOAN MANAGE REV, V38, P94 36684 MALMI T, 2001, MANAGE ACCOUNTING, V12, P207 36685 MALONI MJ, 1997, EUR J OPER RES, V101, P419 36686 MAPES J, 1997, INT J OPER PROD MAN, V17, P1020 36687 MARTINSONS M, 1999, DECIS SUPPORT SYST, V25, P71 36688 MASKELL BH, 1991, PERFORMANCE MEASUREM 36689 MASONJONES R, 1997, MANUFACTURING ENG, V3, P156 36690 MCBETH DK, 1994, PARTNERSHIP SOURCING 36691 NEW SJ, 1996, INT J OPER PROD MAN, V16, P19 36692 NORREKLIT H, 2000, MANAGE ACCOUNTING, V11, P65 36693 NOVICH N, 1990, SLOAN MANAGEMENT FAL, P71 36694 PYKE DF, 1994, EUR J OPER RES, V74, P18 36695 RUSHTON A, 1991, HDB LOGISTICS DISTRI 36696 SCHONBERGER RJ, 1990, BUILDING CHAIN CUSTO 36697 SHARMA MK, 2005, INT J GLOBAL SMALL B, V1, P183 36698 SHARMA MK, 2006, J MANUF TECH MANAGE, V17, P199 36699 SLACK N, 1995, OPERATIONS MANAGEMEN 36700 STEWART G, 1995, LOGISTICS INFORMATIO, V8, P38 36701 THOMAS DJ, 1996, EUR J OPER RES, V94, P1 36702 TONI AD, 1994, LOGISTICS INFORMATIO, V7, P41 36703 TOWILL DR, 1997, INT J TECHNOL MANAGE, V13, P37 36704 TURNER TJ, 2005, PROD PLAN CONTROL, V16, P135 36705 VITALE M, 1994, PLANNING REV, V22, P12 36706 WAGNER BA, 2003, SUPPLY CHAIN MANAG, V8, P343 36707 WILD R, 1995, PRODUCTION OPERATION 36708 NR 55 36709 TC 0 36710 PU PERGAMON-ELSEVIER SCIENCE LTD 36711 PI OXFORD 36712 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 36713 SN 0360-8352 36714 J9 COMPUT IND ENG 36715 JI Comput. Ind. Eng. 36716 PD AUG 36717 PY 2007 36718 VL 53 36719 IS 1 36720 BP 43 36721 EP 62 36722 PG 20 36723 SC Computer Science, Interdisciplinary Applications; Engineering, 36724 Industrial 36725 GA 201NF 36726 UT ISI:000248838200004 36727 ER 36728 36729 PT J 36730 AU Akyol, DE 36731 Bayhan, GM 36732 AF Akyol, Derya Eren 36733 Bayhan, G. Mirac 36734 TI A review on evolution of production scheduling with neural networks 36735 SO COMPUTERS & INDUSTRIAL ENGINEERING 36736 LA English 36737 DT Review 36738 DE artificial neural networks; production scheduling; review 36739 ID ADAPTIVE PATTERN-CLASSIFICATION; JOB-SHOP; MANUFACTURING SYSTEMS; 36740 KNOWLEDGE REPRESENTATION; PARALLEL MACHINES; SELF-ORGANIZATION; 36741 SEQUENCING JOBS; HEURISTIC RULES; HYBRID APPROACH; DECISION-TREE 36742 AB The production scheduling problem allocates limited resources to tasks 36743 over time and determines the sequence of operations so that the 36744 constraints of the system are met and the performance criteria are 36745 optimized. One approach to this problem is the use of artificial neural 36746 networks (ANNs) stand alone or in conjunction with other methods. 36747 Artificial neural networks are computational structures that implement 36748 simplified models of biological processes, and are preferred for their 36749 robustness, massive parallelism, and learning ability. In this paper, 36750 we give a comprehensive overview on ANN approaches for solution of 36751 production scheduling problems, discuss both theoretical developments 36752 and practical experiences, and identify research trends. More than 50 36753 major production and operations management journals published in years 36754 1988-2005 have been reviewed. Existing approaches are classified into 36755 four groups, and additionally a historical progression in this field 36756 was emphasized. Finally, recommendations for future research are 36757 suggested in this paper. (c) 2007 Elsevier Ltd. All rights reserved. 36758 C1 Dokuz Eylul Univ, Dept Ind Engn, TR-35100 Bornova, Turkey. 36759 RP Akyol, DE, Dokuz Eylul Univ, Dept Ind Engn, TR-35100 Bornova, Turkey. 36760 EM derya.eren@deu.edu.tr 36761 CR AARTS E, 1989, SIMULATING ANNEALING 36762 ADAMS J, 1988, MANAGE SCI, V34, P3 36763 AGARWAL A, 2003, EUR J OPER RES, V151, P481 36764 AIYER SVB, 1990, IEEE T NEURAL NETWOR, V1, P204 36765 AKIYAMA Y, 1989, IJCNN INT C NEURAL N, V1, P533 36766 AKYOL DE, 2004, COMPUT IND ENG, V46, P679 36767 AKYOL DE, 2005, LECT NOTES COMPUT SC, V3483, P596 36768 ALVAREZ A, 2002, NEURAL PROCESS LETT, V16, P43 36769 ARIZONO I, 1992, INT J PROD RES, V30, P503 36770 ARZI Y, 1999, IIE TRANS, V31, P217 36771 ASKIN R, 1993, MODELING ANAL MANUFA 36772 BENDAYA M, 1998, EUR J OPER RES, V109, P88 36773 BRANDT RD, 1988, P IEEE INT C NEURAL, V2, P333 36774 CAKAR T, 2004, INT J COMP INTEG M, V17, P195 36775 CARPENTER GA, 1987, APPL OPTICS, V26, P4919 36776 CHA YP, 2003, INT J PROD RES, V41, P1831 36777 CHEN FF, 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COMPUT OPER RES, V13, P533 36799 GOLDBERG DE, 1989, GENETIC ALGORITHMS S 36800 GROSSBERG S, 1972, KYBERNETIK, V10, P49 36801 GROSSBERG S, 1976, BIOL CYBERN, V23, P121 36802 GROSSBERG S, 1976, BIOL CYBERN, V23, P187 36803 HAMAD A, 2003, INT J COMPUT MATH, V80, P845 36804 HAYKIN S, 1994, NEURAL NETWORKS COMP 36805 HEDGE S, 1988, P INT C NEUR NETW, V2, P291 36806 HINTON GE, 1986, PARALLEL DISTRIBUTED 36807 HOLLAND JH, 1975, ADAPTION NATURAL ART 36808 HONG YS, 2003, ENG OPTIMIZ, V35, P91 36809 HOPFIELD JJ, 1982, P NATL ACAD SCI USA, V79, P2554 36810 HOPFIELD JJ, 1984, P NATL ACAD SCI USA, V81, P3088 36811 HOPFIELD JJ, 1985, BIOL CYBERN, V52, P141 36812 HUANG YL, 1999, IEEE T SYST MAN CY B, V29, P490 36813 JAIN AS, 1998, INT J PROD RES, V36, P1249 36814 JENG MD, 1997, ELECTRON LETT, V33, P399 36815 JONG KAD, 1975, THESIS U MICHIGAN 36816 KAMGARPARSI B, 1992, P INT JOINT C NEUR N, V4, P566 36817 KARTAM N, 1998, AI EDAM, V12, P273 36818 KIDO T, 1994, INFORMATICA, V18, P399 36819 KIM CO, 1998, INT J PROD RES, V36, P2497 36820 KIM SY, 1995, PROD PLAN CONTROL, V6, P445 36821 KIRKPATRICK S, 1983, SCIENCE, V220, P671 36822 KOHONEN T, 1982, BIOL CYBERN, V43, P59 36823 LAI WK, 1992, P INT JOINT C NEUR N, V4, P618 36824 LEE HC, 1997, INT J PROD ECON, V51, P115 36825 LEE I, 2000, COMPUT IND ENG, V38, P125 36826 LEE YH, 1997, IIE TRANS, V29, P45 36827 LI DC, 1997, INT J SYST SCI, V28, P977 36828 LI DC, 2003, INT J PROD RES, V41, P4011 36829 LI H, 2000, EUR J OPER RES, V124, P283 36830 LI Z, 1996, IEEE T NEURAL NETWOR, V7, P1507 36831 LIANSHENG G, 2000, PRODUCTION PLANNING, V11, P234 36832 LIEBOWITZ J, 1997, EXPERT SYST, V14, P119 36833 LIEBOWITZ J, 2000, EXPERT SYST, V17, P185 36834 LO ZP, 1993, COMPUT ELECTR ENG, V19, P87 36835 LOOI C, 1992, COMPUTERS OPERATIONS, V19, P818 36836 LUH PB, 2000, IEEE T ROBOTIC AUTOM, V16, P78 36837 MCCULLOCH WS, 1943, B MATH BIOPHYS, V5, P115 36838 MCMULLEN PR, 2001, INT J PROD ECON, V72, P59 36839 MIN HS, 1998, INT J PROD RES, V36, P1749 36840 MIN HS, 2003, INT J PROD RES, V41, P3921 36841 MUHLENBEIN H, 1991, PARALLEL COMPUT, V17, P619 36842 NAWAZ M, 1991, OMEGA, V11, P91 36843 OSMAN IH, 2002, COMPUT IND ENG, P205 36844 PALMES PP, 2003, P INT JOINT C NEURAL, V1, P478 36845 PARK YS, 2000, COMPUT IND ENG, V38, P189 36846 PARKER DB, 1985, TR47 CTR COMP RES EC 36847 PETERSON C, 1987, COMPLEX SYSTEMS, V1, P995 36848 PHILIPOOM PR, 1994, DECISION SCI, V25, P825 36849 POTVIN JY, 2003, HDB METAHEURISTICS, P429 36850 PRIORE P, 2003, INTEGRATED MANUFACTU, V14, P160 36851 RAAYMAKERS WHM, 2003, EUR J OPER RES, V145, P14 36852 RABELO L, 1993, P IEEE INT C ROB AUT, P810 36853 RABELO LC, 1990, P RENSS 2 INT C COMP, P538 36854 RODAMMER FA, 1988, IEEE T SYST MAN CYB, V18, P841 36855 RUMELHART DE, 1986, PARALLEL DISTRIBUTED 36856 SABUNCUOGLU I, 1996, EUR J OPER RES, V93, P288 36857 SABUNCUOGLU I, 1998, PROD PLAN CONTROL, V9, P2 36858 SABUNCUOGLU I, 2002, INT J PROD RES, V40, P2483 36859 SATAKE T, 1994, INT J PROD ECON, V33, P67 36860 SCHAFFER JD, 1992, P INT WORKSH COMB GE, P1 36861 SCHWEFEL HP, 1981, NUMERICAL OPTIMIZATI 36862 SCHWEFEL HP, 1995, EVOLUTION OPTIMUM SE 36863 SEXTON RS, 1998, EUR J OPER RES, V106, P570 36864 SHIUE YR, 2002, INT J ADV MANUF TECH, V20, P532 36865 SHIUE YR, 2003, INT J COMP INTEG M, V16, P48 36866 SHUGANG L, 2005, INT J ADV MANUF TECH, V26, P870 36867 SIM SK, 1994, INT J PROD RES, V32, P1759 36868 SMITH KA, 1999, INFORMS J COMPUT, V11, P15 36869 SOLIMANPUR M, 2004, COMPUT OPER RES, V31, P2151 36870 TAILLARD E, 1993, EUR J OPER RES, V64, P278 36871 VAITHYANATHAN S, 1992, COMPUT OPER RES, V19, P241 36872 VANDENBOUT D, 1988, P IEEE INT C NEURAL, V2, P299 36873 VANHULLE MM, 1991, INT J NEURAL SYST, V2, P201 36874 VONDERMALSBURG C, 1973, KYBERNETIK, V14, P85 36875 WANG H, 2003, EXPERT SYST, V20, P208 36876 WERBOS PJ, 1974, THESIS HARVARD U 36877 WILLEMS TM, 1995, J INTELL MANUF, V6, P377 36878 WILLSHAW DJ, 1976, P ROY SOC LOND B BIO, V194, P431 36879 YANG SX, 2001, COMPUT OPER RES, V28, P955 36880 YAO X, 1991, P 2 AUSTR C NEUR NET, P94 36881 YAO X, 1997, P 2 AIZ INT S PAR AL, P282 36882 YAO X, 1998, APPL MATH COMPUT, V91, P83 36883 YAO X, 1999, P IEEE, V87, P1423 36884 ZHOU DN, 1991, IEEE T NEURAL NETWOR, V2, P175 36885 NR 124 36886 TC 0 36887 PU PERGAMON-ELSEVIER SCIENCE LTD 36888 PI OXFORD 36889 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 36890 SN 0360-8352 36891 J9 COMPUT IND ENG 36892 JI Comput. Ind. Eng. 36893 PD AUG 36894 PY 2007 36895 VL 53 36896 IS 1 36897 BP 95 36898 EP 122 36899 PG 28 36900 SC Computer Science, Interdisciplinary Applications; Engineering, 36901 Industrial 36902 GA 201NF 36903 UT ISI:000248838200007 36904 ER 36905 36906 PT J 36907 AU Leoleis, GA 36908 Prezerakos, GN 36909 Venieris, IS 36910 AF Leoleis, Georgios A. 36911 Prezerakos, George N. 36912 Venieris, Iakovos S. 36913 TI Seamless multicast mobility support using fast MIPv6 extensions 36914 SO COMPUTER COMMUNICATIONS 36915 LA English 36916 DT Article 36917 DE FMIPv6; IP multicast; mobility management; performance evaluation; 36918 remote subscriptions; seamless handover 36919 ID CHALLENGES 36920 AB This paper elaborates on seamless handover support for wireless IP 36921 multicast networks with the use of a novel mobility management 36922 mechanism. The latter enables mobile nodes with active multicast 36923 sessions to execute seamless remote subscriptions while changing their 36924 network attachment point and is formulated by extending the unicast 36925 "Fast Handovers for Mobile IPv6" protocol (FMIPv6). The proposed scheme 36926 minimizes service disruption due to handover, by using conditional 36927 tunneling of multicast traffic on a per flow (rather than per mobile 36928 node) basis. Moreover, a simple buffering technique is proposed, 36929 enabling the temporary storage of the tunneled before the handover 36930 packets thus eliminating packet loss occurring during the link layer 36931 handover period. Also, multicast traffic recipients experience reduced 36932 handover latency due to the timely configuration of the network routers 36933 providing the multicast service. The performance of the proposed 36934 mechanism is evaluated by OPNET simulation results, for realistic IEEE 36935 802.11 WLAN indoor simulation scenarios, incorporating spatially 36936 correlated shadowing for the propagation environment and random 36937 mobility of users. Performance results are provided in terms of service 36938 disruption time perceived by video streaming recipients as well as 36939 tunneling and buffering overhead for handover support, while varying 36940 the FMIPv6 protocol triggering configuration, the inter-domain distance 36941 and the access router buffering capacity. The performance evaluation 36942 reveals a significant reduction in the handover packet loss level when 36943 compared to similar multicast mobility schemes, causing a slight 36944 increase of resource consumption for tunneling and buffering purposes. 36945 (C) 2006 Elsevier B.V. All rights reserved. 36946 C1 Natl Tech Univ Athens, Sch Elect & Comp Engn, Athens 15773, Greece. 36947 Technol Educ Inst Piraeus, Dept Elect Comp Syst, Athens 12244, Greece. 36948 RP Leoleis, GA, Natl Tech Univ Athens, Sch Elect & Comp Engn, 9 Heroon 36949 Polytech Str, Athens 15773, Greece. 36950 EM gleol@telecom.ntua.gr 36951 prezerak@teipir.gr 36952 venieris@cs.ntua.gr 36953 CR *IEEE, 1999, 80211 IEEE ANSI 36954 *IEEE, 2006, P80221D0005 IEEE 36955 *ITU R, 2005, P12384 ITUR 36956 *ITU R, 2005, P14113 ITUR 36957 BETTSTETTER C, 2004, WIREL NETW, V10, P555 36958 CHRISTENSEN M, 2006, 4541 IETF RFC 36959 CONTA A, 1998, 2473 IETF RFC 36960 COSTA XP, 2003, ACM MOBILE COMPUTING, V7, P5 36961 DEERING S, 1999, 2710 IETF RFC 36962 DIMOPOULOU L, 2005, IEEE NETWORK, V19, P14 36963 FORKEL I, 2004, P 7 INT S WIR PERS M, V2, P314 36964 GOSSAIN H, 2002, IEEE COMMUN MAG, V40, P116 36965 GUPTA V, 2004, 80221 IEEE 36966 JELGER C, 2002, IEEE WIREL COMMUN, V9, P58 36967 JERUCHIM MC, 2000, SIMULATIONS COMMUNIC, P397 36968 JOHNSON D, 2004, 3775 IETF RFC 36969 KOODLI R, 2005, 4068 IETF RFC 36970 KOTZ D, 2004, P ACM IEEE INT S MOD, P78 36971 LEOLEIS G, 2006, P 12 EUR WIR C 36972 MCCANN P, 2005, 4260 IETF RFC 36973 NARTEN T, 2006, NEIGHBOR DISCOVERY I 36974 PACK S, LNCS SERIES, V2775, P679 36975 QUINN B, 2001, 3170 IETF RFC 36976 ROMDHANI I, 2004, IEEE COMMUNICATIONS, V6, P18 36977 SCHMIDT T, 2005, SEAMLESS MULTICAST H 36978 SOLIMAN H, 2005, 41040 IETF RFC 36979 SUH K, 2004, FAST MULTICAST PROTO 36980 THOMSON S, 2005, IN PRESS IPV6 STATEL 36981 NR 28 36982 TC 0 36983 PU ELSEVIER SCIENCE BV 36984 PI AMSTERDAM 36985 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 36986 SN 0140-3664 36987 J9 COMPUT COMMUN 36988 JI Comput. Commun. 36989 PD NOV 28 36990 PY 2006 36991 VL 29 36992 IS 18 36993 BP 3745 36994 EP 3765 36995 PG 21 36996 SC Computer Science, Information Systems; Engineering, Electrical & 36997 Electronic; Telecommunications 36998 GA 196FB 36999 UT ISI:000248466000007 37000 ER 37001 37002 PT J 37003 AU Assi, C 37004 Huo, W 37005 Shami, A 37006 AF Assi, Chadi 37007 Huo, Wei 37008 Shami, Abdallah 37009 TI Multiple link failures survivability of optical networks with traffic 37010 grooming capability 37011 SO COMPUTER COMMUNICATIONS 37012 LA English 37013 DT Article 37014 DE optical networks; protection; traffic grooming and routing; simulations 37015 ID MESH NETWORKS; WDM NETWORKS; RINGS 37016 AB This paper investigates the problem of survivable traffic grooming 37017 (STG) in shared mesh optical networks and proposes different frameworks 37018 for improving the survivability of low speed demands against multiple 37019 near simultaneous failures. Spare capacity reprovisioning has recently 37020 been considered for improving the overall network restorability in the 37021 event of dual failures; here, after the recovery form the first 37022 failure, some connections in the network may become unprotected and 37023 exposed to new failures. Capacity reprovisioning then allocates 37024 protection resources to unprotected and vulnerable connections so that 37025 the network can withstand a future failure. In this paper, we propose 37026 two different reprovisioning schemes (lightpath level reprovisioning, 37027 LLR, and connection level reprovisioning, CLR); they differ in the 37028 granularity at which protection resources are reprovisioned. Further, 37029 each of these schemes is suitable for a different survivable grooming 37030 policy. While LLR provides collective reprovisioning of connections at 37031 the lightpath level, CLR reprovisions spare bandwidth for lower speed 37032 connections instead. We use simulation methods to study the performance 37033 of these schemes under two grooming policies (PAL and PAC), and we show 37034 that while CLR reprovisions substantially many more connections than 37035 LLR (i.e., potentially more management overhead) CLR yields a much 37036 better network robustness to simultaneous failures due to its superior 37037 flexibility in using network resources. (C) 2006 Elsevier B.V. All 37038 rights reserved. 37039 C1 Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, PQ, Canada. 37040 Univ Western Ontario, Dept Elect & Comp Engn, London, ON, Canada. 37041 RP Assi, C, Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, 37042 PQ, Canada. 37043 EM assi@ciise.concordia.ca 37044 w_huo@ciise.concordia.ca 37045 ashami@eng.uwo.ca 37046 CR ASSI C, 2005, IEEE COMMUN LETT, V9, P658 37047 CHOI H, 2002, IEEE INFOCOM 37048 CLOUQUEUR M, 2002, IEEE J SEL AREA COMM, V20, P810 37049 CLOUQUEUR M, 2002, SPIE OPTICOMM BOST M 37050 GERSTEL O, 2000, IEEE ACM T NETWORK, V8, P618 37051 GROVER W, 2003, MESH BASED SURVIVABL 37052 HE W, 2003, P IEEE GLOBECOM 2003 37053 KIM S, 2003, P OFC03 MARCH 37054 LADOURDETTE J, 2004, P OFC 04 FEBR 37055 MODIANO E, 2001, IEEE COMMUN MAG, V39, P124 37056 MUKHERJEE B, 2004, OFC 2004 37057 OU CH, 2003, IEEE J SEL AREA COMM, V21, P1367 37058 RAMAMURTHY R, 2003, P OFC03 MARCH 37059 RAMAMURTHY S, IEEE ICC 1999 37060 SCHUPKE D, P OFC03 MARCH 37061 SCHUPKE DA, 2004, ICC 04 PAR JUN 20 24 37062 WANG Y, 2005, ICC05 SEOUL KOR 37063 XU D, 2002, ICNP 2002 PAR FRANC, P344 37064 ZHANG J, 2004, ICCO4 PAR JUN 20 24 37065 ZHANG XJ, 2000, IEEE ACM T NETWORK, V8, P608 37066 ZHU HY, 2003, IEEE ACM T NETWORK, V11, P285 37067 ZHU KY, 2002, IEEE J SEL AREA COMM, V20, P122 37068 NR 22 37069 TC 0 37070 PU ELSEVIER SCIENCE BV 37071 PI AMSTERDAM 37072 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 37073 SN 0140-3664 37074 J9 COMPUT COMMUN 37075 JI Comput. Commun. 37076 PD NOV 28 37077 PY 2006 37078 VL 29 37079 IS 18 37080 BP 3900 37081 EP 3912 37082 PG 13 37083 SC Computer Science, Information Systems; Engineering, Electrical & 37084 Electronic; Telecommunications 37085 GA 196FB 37086 UT ISI:000248466000020 37087 ER 37088 37089 PT J 37090 AU Lim, HK 37091 Choi, JG 37092 Bahk, S 37093 AF Lim, Hyoung-Kyu 37094 Choi, Jin-Ghoo 37095 Bahk, Saewoong 37096 TI Utility-based downlink power allocation in multicell wireless packet 37097 networks 37098 SO COMPUTER COMMUNICATIONS 37099 LA English 37100 DT Article 37101 DE utility; radio resource management; power allocation; nonlinear 37102 programming; wireless packet networks; power control 37103 ID CDMA 37104 AB This paper introduces a utility-based radio resource management 37105 technique in multicell wireless packet networks. In terms of allocation 37106 of base station (BS) downlink transmit power and assignment of resource 37107 to users in each cell, we formulate a problem of maximizing system 37108 utility which is defined as the sum of cell utilities. The problem, 37109 however, is not solvable due to its non-convex property. Thus, we 37110 propose a heuristic algorithm based on an intuition obtained from 37111 analyzing a simple two-cell problem. Though the heuristic approach also 37112 incurs signaling overhead for power coordination between neighboring 37113 base stations, it is much less than that of the original approach. 37114 Simulation results show the performance of our proposed algorithm 37115 compared with two competitive schemes: optimal and maximum power 37116 allocation schemes. As expected, the optimal allocation scheme shows 37117 the best performance but can not be employed in a real network due to 37118 intractable complexity. Our heuristic algorithm performs reasonably 37119 well with very low complexity. (C) 2006 Elsevier B.V. All rights 37120 reserved. 37121 C1 Seoul Natl Univ, Sch Elect Engn, Seoul 151742, South Korea. 37122 Seoul Natl Univ, INMC, Seoul 151742, South Korea. 37123 Samsung Elect, Suwon 442600, South Korea. 37124 RP Bahk, S, Seoul Natl Univ, Sch Elect Engn, Seoul 151742, South Korea. 37125 EM hk03.lim@samsung.com 37126 jinghoo.choi@samsung.com 37127 sbahk@netlab.snu.ac.kr 37128 CR BAZARAA MS, 1993, NONLINEAR PROGRAMMIN 37129 BENDER P, IEEE COMMUN MAG, P70 37130 BERGGREN F, 2001, IEEE J SEL AREA COMM, V19, P1860 37131 BERTSEKAS DP, 1999, NONLINEAR PROGRAMMIN 37132 COVER TM, 1991, ELEMENTS INFORM THEO 37133 GEN M, 1997, GENETIC ALGORITHMS E 37134 GOLDSMITH AJ, 1997, IEEE T COMMUN, V45, P1218 37135 JAKES WC, 1974, MICROWAVE MOBILE COM 37136 LEE JW, 2002, P IEEE INFOCOM 2002 37137 LIAO RRF, 2001, WIREL NETW, V7, P541 37138 LIU PJ, 2004, IEEE T WIREL COMMUN, V3, P533 37139 MARBACH P, 2002, P IEEE INFOCOM 2002 37140 MURTY KG, 1987, SOME NP COMPLETE PRO 37141 OH SJ, 2000, P IEEE INFOCOM 2000 37142 OJANPERA T, 1998, IEEE COMMUN MAG, V36, P82 37143 SARAYDAR CU, 2001, IEEE J SEL AREA COMM, V19, P1883 37144 SARAYDAR CU, 2002, IEEE T COMMUN, V50, P291 37145 SHENKER S, 1995, IEEE J SEL AREA COMM, V13, P1176 37146 VARIAN HR, 2003, INTERMEDIATE MICROEC 37147 ZHOU C, 2004, IEEE T WIREL COMMUN, V3, P2256 37148 ZHOU C, 2005, IEEE T WIREL COMMUN, V4, P2764 37149 NR 21 37150 TC 0 37151 PU ELSEVIER SCIENCE BV 37152 PI AMSTERDAM 37153 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 37154 SN 0140-3664 37155 J9 COMPUT COMMUN 37156 JI Comput. Commun. 37157 PD NOV 28 37158 PY 2006 37159 VL 29 37160 IS 18 37161 BP 3913 37162 EP 3920 37163 PG 8 37164 SC Computer Science, Information Systems; Engineering, Electrical & 37165 Electronic; Telecommunications 37166 GA 196FB 37167 UT ISI:000248466000021 37168 ER 37169 37170 PT J 37171 AU Karapantazis, S 37172 Pavlidou, FN 37173 AF Karapantazis, Stylianos 37174 Pavlidou, Fotini-Niovi 37175 TI Call admission control in multiservice high altitude platform (HAP) 37176 W-CDMA cellular systems 37177 SO COMPUTER NETWORKS 37178 LA English 37179 DT Article 37180 DE call admission control; W-CDMA; imperfect power control; HAP systems 37181 ID IMPERFECT POWER-CONTROL; REVERSE LINK; CHANNEL ASSIGNMENT; SOFT 37182 HANDOFF; UMTS NETWORK; PERFORMANCE; CAPACITY; MOBILITY; IMPACT 37183 AB Of the various radio resource management functions, in this paper we 37184 focus on call admission control (CAC). We propose a CAC scheme for 37185 multiservice High Altitude Platform (HAP) wideband code division 37186 multiple access (W-CDMA) cellular systems that caters for multimedia 37187 services. HAPs have known increasing popularity during the past few 37188 years and are expected to play a pivotal role in the telecommunications 37189 arena by virtue of their appealing features. We first study the uplink 37190 capacity of a multiservice HAP W-CDMA cellular system taking into 37191 consideration power control imperfections and evaluate the degradation 37192 that a new call induces in the quality of service of ongoing calls. 37193 Based on the obtained statistics, we then develop a CAC scheme that 37194 takes account of power control imperfections and user mobility and 37195 compare it to a CAC scheme that is based on instantaneous energy per 37196 bit to noise power spectral density ratio (E-b/N-0) measurements. 37197 Additionally, we examine these algorithms for two different criteria 37198 that apply to both new and handoff call requests. The first criterion 37199 is based on the minimum E-b/N-0 of the first tier cells, while the 37200 second bases its decision upon the mean E-b/N-0 of the cells of the 37201 first tier. Simulation studies further document and confirm the 37202 positive characteristics of the proposed CAC scheme. (c) 2007 Elsevier 37203 B.V. All rights reserved. 37204 C1 Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki 54124, Greece. 37205 RP Karapantazis, S, Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, 37206 Thessaloniki 54124, Greece. 37207 EM skarap@auth.gr 37208 niovi@auth.gr 37209 CR *3GPP TS, 22105 3GPP TS 37210 *3GPP, TS23107 3GPP 37211 *ITU R, 2000, ITURM1456 37212 ANDERSIN M, 1997, IEEE ACM T NETWORK, V5, P255 37213 CORAZZA GE, 1998, IEEE T VEH TECHNOL, V47, P450 37214 DIMITRIOU N, 2000, IEEE COMMUN MAG, V38, P88 37215 DING L, 2001, INT J WIRELESS I JAN, V8, P1 37216 ELAYOUBI SE, 2004, COMPUT COMMUN, V27, P1115 37217 FALLETTI E, 2003, WIRELESS PERS COMMUN, V24, P291 37218 FOO Y, 2002, P 13 IEEE INT S PERS, V4, P1577 37219 FOO Y, 2002, P IEEE 56 VEH TECHN, V1, P549 37220 JEON WS, 2002, IEEE T WIREL COMMUN, V1, P649 37221 KARAPANTAZIS S, IEEE COMMUNICATIONS, V7, P2 37222 KARAPANTAZIS S, 2005, IEEE COMMUN LETT, V9, P414 37223 KARAPANTAZIS S, 2005, IEEE WIREL COMMUN, V12, P33 37224 KIM D, 2000, IEEE T VEH TECHNOL, V49, P1017 37225 KIM IM, 2000, IEEE COMMUN LETT, V4, P29 37226 KOO I, 2003, INT J WIRELESS INFOR, V10, P159 37227 LINDEMANN C, 2004, WIREL NETW, V10, P457 37228 LITJENS R, 2002, COMPUT NETW, V38, P497 37229 LIU Z, 1994, IEEE J SEL AREA COMM, V12, P638 37230 MA Y, 2002, COMPUT COMMUN, V25, P689 37231 NARRAINEN RP, 2001, IEEE T VEH TECHNOL, V50, P1507 37232 OJANPERA T, 1998, WIDEBAND CDMA THIRD 37233 PRISCOLI FD, 1996, IEEE J SEL AREA COMM, V14, P1809 37234 ROMEROJEREZ JM, 2004, IEEE T VEH TECHNOL, V53, P61 37235 SHEN S, 2004, IEEE T WIREL COMMUN, V3, P1810 37236 SHIN SM, 1995, ELECTRON LETT, V31, P1897 37237 SHIN SM, 1999, IEEE T VEH TECHNOL, V48, P233 37238 TUGCU T, 2005, WIREL NETW, V11, P341 37239 VITERBI AJ, 1992, IEEE COMMUN MAG, V30, P38 37240 VITERBI AJ, 1994, IEEE J SEL AREA COMM, V12, P1281 37241 VITERBI AM, 1993, IEEE J SEL AREA COMM, V11, P892 37242 NR 33 37243 TC 0 37244 PU ELSEVIER SCIENCE BV 37245 PI AMSTERDAM 37246 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 37247 SN 1389-1286 37248 J9 COMPUT NETW 37249 JI Comput. Netw. 37250 PD AUG 22 37251 PY 2007 37252 VL 51 37253 IS 12 37254 BP 3491 37255 EP 3506 37256 PG 16 37257 SC Computer Science, Hardware & Architecture; Computer Science, 37258 Information Systems; Engineering, Electrical & Electronic; 37259 Telecommunications 37260 GA 191OD 37261 UT ISI:000248139800011 37262 ER 37263 37264 PT J 37265 AU Pucha, H 37266 Das, SM 37267 Hu, YC 37268 AF Pucha, Himabindu 37269 Das, Saumitra M. 37270 Hu, Y. Charlie 37271 TI The performance impact of traffic patterns on routing protocols in 37272 mobile ad hoc networks 37273 SO COMPUTER NETWORKS 37274 LA English 37275 DT Article 37276 DE traffic patterns; routing protocols; mobile ad hoc networks; route 37277 caching 37278 AB As mobile ad hoc network (MANET) systems research has matured and 37279 several testbeds have been built to study MANETs, research has focused 37280 on developing new MANET applications such as collaborative games, 37281 collaborative computing, messaging systems, distributed security 37282 schemes, MANET middleware, peer-to-peer file sharing systems, voting 37283 systems, resource management and discovery, vehicular computing and 37284 collaborative education systems. The growing set of diverse 37285 applications developed for MANETs pose far more complex traffic 37286 patterns than the simple one-to-one traffic pattern, and hence the 37287 one-to-one traffic pattern widely used in previous protocol studies has 37288 become inadequate in reflecting the relative performance of these 37289 protocols when deployed to support these emerging applications. 37290 As a first step towards effectively supporting newly developed and 37291 future diverse MANET applications, this paper studies the performance 37292 impact of diverse traffic patterns on routing protocols in MANETs. 37293 Specifically, we propose a new communication model that extends the 37294 previous communication model to include a more general traffic pattern 37295 that varies the number of connections per source node. We study the 37296 performance impact of traffic patterns on various routing protocols via 37297 detailed simulations of an ad hoc network of 112 mobile nodes. Our 37298 simulation results show that many of the conclusions drawn in previous 37299 protocol comparison studies no longer hold under the new traffic 37300 patterns. These results motivate the need for performance evaluation of 37301 ad hoc networks to not only include rich and diverse mobility models as 37302 has been done in the past but also include diverse traffic patterns 37303 that stress a wide set of protocol design issues. (c) 2007 Elsevier 37304 B.V. All rights reserved. 37305 C1 Purdue Univ, Sch Elect & Comp Engn, Ctr Wireless Syst & Applicat, W Lafayette, IN 47907 USA. 37306 RP Hu, YC, Purdue Univ, Sch Elect & Comp Engn, Ctr Wireless Syst & 37307 Applicat, W Lafayette, IN 47907 USA. 37308 EM hpucha@purdue.edu 37309 smdas@purdue.edu 37310 ychu@purdue.edu 37311 CR BARKHUUS L, 2005, P UB COMP 37312 BERTSEKAS D, 1987, DATA NETWORKS, P297 37313 BISIGNANO M, 2003, P P2P 37314 BOTTAZZI D, 2005, P MDM 37315 BOULKENAFED M, 2003, P IEEE NCA 37316 BRESLAU L, 2000, IEEE COMPUT, V33, P59 37317 BROCH J, 1998, P ACM MOB COM OCT 37318 CAMP T, 2002, WIREL COMMUN MOB COM, V2, P483 37319 DAS SR, 1998, P ICCCN OCT 37320 DAS SR, 2000, MOBILE NETW APPL, V5, P179 37321 DAS SR, 2000, P IEEE INFOCOM MARCH 37322 DESHPANDE A, 2004, P ICENCO 37323 DIKAIAKOS MD, 2005, P ACM VANET 37324 DIMICCO JM, 2002, P CHI WORKSH MOB AD 37325 FULLER A, 2004, P IEEE ICALT 37326 GUPTA P, 2000, IEEE T INFORM THEORY, V46, P388 37327 GWALANI S, 2003, P NEXT GEN INT S MAY 37328 HU YC, 2000, P ACM MOB COM AUG 37329 JARDOSH A, 2003, P ACM MOB COM SEPT 37330 JOHANSSON P, 1999, P ACM MOB COM AUG 37331 JOHNSON DB, 1996, DYNAMIC SOURCE ROUTI 37332 KILLIJIAN MO, 2004, P ACM MPAC 37333 LEE SJ, 2000, P IEEE WCNC SEPT 37334 LI Z, 2003, P USENIX MOB SYS 37335 LIU H, 2005, P USENIX MOB SYS 37336 LIU J, 2005, P MDM 37337 MUSOLESI M, 2004, P ACM MPAC 37338 PARK VD, 1997, P IEEE INFOCOM APR 37339 PEI G, 2000, P IEEE ACM MOB AUG 37340 PENZ S, 2005, P ACM MPAC 37341 PERKINS CE, 1994, P ACM SIGCOMM AUG 37342 PERKINS CE, 1999, P IEEE WMCSA FEB 37343 PUCHA H, 2004, P ACM MSWIM OCT 37344 RANIWALA A, 2005, IJWMC SPECIAL ISSUE 37345 RATNASAMY S, 2001, P ACM SIGCOMM AUG 37346 REPANTIS T, 2005, P MDM 37347 ROWSTRON A, 2001, P MIDDL NOV 37348 STOICA I, 2001, P ACM SIGCOMM AUG 37349 TENNENT P, 2005, P MOB HCI 37350 VOLLSET E, 2003, P PWC 37351 YOON J, 2003, P ACM MOB COM SEPT 37352 YOON J, 2003, P IEEE INFOCOM APR 37353 ZHAO BY, 2001, UCBCSD011141 37354 NR 43 37355 TC 0 37356 PU ELSEVIER SCIENCE BV 37357 PI AMSTERDAM 37358 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 37359 SN 1389-1286 37360 J9 COMPUT NETW 37361 JI Comput. Netw. 37362 PD AUG 22 37363 PY 2007 37364 VL 51 37365 IS 12 37366 BP 3595 37367 EP 3616 37368 PG 22 37369 SC Computer Science, Hardware & Architecture; Computer Science, 37370 Information Systems; Engineering, Electrical & Electronic; 37371 Telecommunications 37372 GA 191OD 37373 UT ISI:000248139800017 37374 ER 37375 37376 PT J 37377 AU Eun, DY 37378 Wang, XB 37379 AF Eun, Do Young 37380 Wang, Xinbing 37381 TI Performance analysis of TCP/AQM with generalized AIMD under 37382 intermediate buffer sizes 37383 SO COMPUTER NETWORKS 37384 LA English 37385 DT Article 37386 DE congestion control; buffer sizing; active queue management; 37387 discrete-time stochastic models; performance analysis 37388 AB For TCP/AQM systems, the issue of buffer sizing has recently received 37389 much attention. The classical rule-of-thumb suggests O(N) buffer size 37390 to ensure full link utilization when N TCP flows share a bottleneck 37391 link of capacity O(N), while recent empirical study shows the buffer of 37392 size O(root N) is enough to yield high utilization (say, 95%) for large 37393 N. However, these results are all limited to the drop-tail scheme and 37394 there has been no systematic modeling framework for any buffer sizing 37395 between O(root N) and O(N). In this paper, we study the limiting 37396 behavior of a TCP/AQM system for an intermediate buffer sizing of 37397 O(N-gamma) (0.5 <= gamma < 1). We develop a stochastic model in a 37398 discrete-time setting to characterize the system dynamics and then show 37399 that we can have 100% link utilization and zero packet loss probability 37400 for a large number of flows when the buffer size is chosen anywhere 37401 between O(root N) and O(N). Our model is general enough to cover any 37402 queue-based AQM scheme with ECN marking (including the drop-tail) and 37403 various generalized AIMD (additive-increase-multiplicative-decrease) 37404 algorithms for each TCP flow. We also provide arguments showing that 37405 the discrete-time based modeling can effectively capture all the 37406 essential system dynamics under our choice of scaling (0.5 <= gamma < 37407 1) for buffer size as well as AQM parameters. (c) 2007 Elsevier B.V. 37408 All rights reserved. 37409 C1 N Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA. 37410 Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China. 37411 RP Eun, DY, N Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 37412 27695 USA. 37413 EM dyeun@ncsu.edu 37414 xwang8@sjtu.edu.cn 37415 CR 2004, NETWORK SIMULATOR NS 37416 ALDOUS DJ, 2005, ANN APPL PROBAB, V15, P1047 37417 APPENZELLER G, 2004, P ACM SIGCOMM PORTL 37418 ATHURALIYA S, 2001, IEEE NETWORK, V15, P48 37419 BREMAUD P, 1999, MARKOV CHAINS GIBBS 37420 CAO J, 2002, P IEEE INFOCOM 37421 CHOE J, 1998, IEEE ACM T NETWORK, V6, P659 37422 CHOE J, 2000, STOCH MODELS, V16, P209 37423 COURCOUBETIS C, 1999, TELECOMMUN SYST, V12, P167 37424 CROVELLA M, 1996, P ACM SIGMETRICS 37425 DHAMDHERE A, 2005, P IEEE INFOCOM MIAMI 37426 EUN DY, 2001, P IEEE INFOCOM ANCH 37427 EUN DY, 2003, IEEE ACM T NETWORK, V11, P222 37428 EUN DY, 2004, ADV APPL PROBAB, V36, P893 37429 EUN DY, 2005, IEEE INT C COMM SEOU 37430 EUN DY, 2006, P C INF SCI SYST CIS 37431 EUN DY, 2006, P IEEE INT PERF COMP 37432 FLOYD S, 2582 RFC 37433 FLOYD S, 3649 RFC 37434 GANESH A, 2004, LECT NOTES MATH, V1838 37435 GIBBENS RJ, 1999, P 16 INT TEL C, P87 37436 GROSSGLAUSER M, 1999, IEEE ACM T NETWORK, V7, P629 37437 HOLLOT CV, 2002, IEEE T AUTOMAT CONTR, V47, P945 37438 KELLY T, 2003, ACM SIGCOMM COMPUTER, V33, P83 37439 KIKDAR B, 2001, PERFORM EVALUATION, V46, P139 37440 KNESSL C, 1991, SIAM J APPL MATH, V51, P187 37441 LIKHANOV N, 1999, J APPL PROBAB, V36, P86 37442 LOW SH, 2003, COMPUT NETW, V43, P633 37443 MANDJES M, 2001, QUEUEING SYST, V37, P349 37444 MATHIS M, 1997, P ACM SIGCOMM 37445 PADHYE J, 1998, P ACM SIGCOMM 37446 RAINA G, 2005, EURONGI 37447 SUN J, 2004, P IEEE INFOCOM HONG 37448 TINNAKORNSRISUP.P, 2003, P IEEE INFOCOM SAN F 37449 TINNAKORNSRISUP.P, 2004, P ACM SIGMETRICS NY 37450 VILLAMIZAR C, 1994, ACM COMPUTER COMMUNI, V24, P45 37451 WHITT W, 2002, STOCHASTIC PROCESS L 37452 WISCHIK D, MODERATE DEVIATIONS 37453 WISCHIK D, 2000, ANN APPL PROBAB, V11, P379 37454 NR 39 37455 TC 0 37456 PU ELSEVIER SCIENCE BV 37457 PI AMSTERDAM 37458 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 37459 SN 1389-1286 37460 J9 COMPUT NETW 37461 JI Comput. Netw. 37462 PD AUG 22 37463 PY 2007 37464 VL 51 37465 IS 12 37466 BP 3655 37467 EP 3671 37468 PG 17 37469 SC Computer Science, Hardware & Architecture; Computer Science, 37470 Information Systems; Engineering, Electrical & Electronic; 37471 Telecommunications 37472 GA 191OD 37473 UT ISI:000248139800021 37474 ER 37475 37476 PT J 37477 AU Gaglio, PJ 37478 Sterling, R 37479 Daniels, E 37480 Tedaldi, E 37481 AF Gaglio, Paul J. 37482 Sterling, Richard 37483 Daniels, Eric 37484 Tedaldi, Ellen 37485 CA Terry Beirn Community Programs Cli 37486 TI Hepatitis B virus and HIV coinfection: Results of a survey on treatment 37487 practices and recommendations for therapy 37488 SO CLINICAL INFECTIOUS DISEASES 37489 LA English 37490 DT Article 37491 ID CO-INFECTED PATIENTS; CONSENSUS CONFERENCE; VIRAL-HEPATITIS; 37492 MANAGEMENT; CARE 37493 AB Background. The management of hepatitis B virus (HBV) and human 37494 immunodeficiency virus (HIV) coinfection is challenged by the selection 37495 of patients for therapy, options for antiviral medications, and 37496 inconsistency in published treatment guidelines. 37497 Methods. A survey was sent to 161 sites in a multicenter HIV clinical 37498 trials group to assess HBV screening, criteria for initiation of 37499 therapy, and treatment choices for patients coinfected with HBV and HIV. 37500 Results. Of 161 sites, 78 completed the survey (response rate, 48.4%). 37501 Of these sites, 98.7% screened for HBV infection, 86% vaccinated 37502 HIV-infected patients who were not immune to HBV infection, and 79% 37503 made treatment decisions without referral to a hepatologist or 37504 gastroenterologist. Treatment recommendations varied; 42% of the sites 37505 initiated therapy when patients' levels of alanine aminotransferase and 37506 aspartate aminotransferase were elevated and HBV DNA level was > 10(5) 37507 copies/mL, whereas 49% of the sites initiated therapy in the presence 37508 of any detectable HBV DNA level. Antiviral treatment choices for 37509 patients who were not concurrently receiving antiretroviral therapy 37510 were lamivudine plus tenofovir, adefovir, or interferon. Patients 37511 concurrently receiving antiretroviral therapy received lamivudine plus 37512 tenofovir preferentially, followed by tenofovir plus emtricitabine, 37513 adefovir, or interferon. Ninety-one percent of the sites screened for 37514 hepatocellular carcinoma. 37515 Conclusions. The majority of HIV-infected patients were screened and 37516 vaccinated for HBV infection and underwent surveillance for 37517 hepatocellular carcinoma. Decisions regarding the performance of liver 37518 biopsy, threshold to initiate therapy, and criteria to discontinue 37519 therapy varied, reflecting inconsistencies in available treatment 37520 guidelines. Treatment decisions reflected concerns regarding future 37521 drug resistance in patients who are naive to antiretroviral therapy and 37522 the emergence of drug resistance in patients receiving antiretroviral 37523 therapy. 37524 C1 Columbia Univ Coll Phys & Surg, Dept Med, Ctr Liver Dis & Transplantat, New York, NY 10032 USA. 37525 Virginia Commonwealth Univ, Sch Med, Div Gastroenterol, Richmond, VA 23284 USA. 37526 Virginia Commonwealth Univ, Sch Med, Div Hepatol, Richmond, VA 23284 USA. 37527 Virginia Commonwealth Univ, Sch Med, Div Infect Dis, Richmond, VA 23284 USA. 37528 Social & Sci Syst, Silver Spring, MD USA. 37529 Temple Univ, Sch Med, Dept Med, Philadelphia, PA 19122 USA. 37530 RP Gaglio, PJ, Columbia Univ Coll Phys & Surg, Dept Med, Ctr Liver Dis & 37531 Transplantat, PH-14,622 W 168th St, New York, NY 10032 USA. 37532 EM pg2011@columbia.edu 37533 CR ALBERTI A, 2005, J HEPATOL, V42, P615 37534 ANANWORANICH J, 2006, LANCET, V368, P459 37535 BECK EJ, 1996, INT J STD AIDS, V7, P34 37536 BONACINI M, 2004, AIDS, V18, P2039 37537 BRAU N, 2004, HEPATOLOGY S1, V4, A308 37538 BROOK MG, 2003, INT J STD AIDS, V14, P469 37539 BROOK MG, 2005, HIV MED S2, V6, P84 37540 DIMARTINO V, 2002, GASTROENTEROLOGY, V123, P1812 37541 ELSADR WM, 2006, NEW ENGL J MED, V355, P2283 37542 GUITTON E, 2006, EUR J CLIN PHARMACOL, V62, P243 37543 KEEFFE EB, 2006, CLIN GASTROENTEROL H, V4, P936 37544 OPRAVIL M, 1998, DEUT MED WOCHENSCHR, V123, P753 37545 ROCKSTROH JK, 2006, J HEPATOL S1, V44, S25 37546 SALMON D, 2006, J HEPATOL S1, V44, S2 37547 SORIANO V, 2004, J VIRAL HEPATITIS, V11, P2 37548 SORIANO V, 2005, AIDS, V19, P221 37549 TEDALDI EM, 2004, CLIN INFECT DIS, V38, P1478 37550 THIO CL, 2005, CLIN INFECT DIS, V41, P1035 37551 VEIGA APR, 2006, VACCINE, V24, P7124 37552 WRIGHT TL, 2006, AM J GASTROENTERO S1, V101, S32 37553 NR 20 37554 TC 1 37555 PU UNIV CHICAGO PRESS 37556 PI CHICAGO 37557 PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA 37558 SN 1058-4838 37559 J9 CLIN INFECT DIS 37560 JI Clin. Infect. Dis. 37561 PD SEP 1 37562 PY 2007 37563 VL 45 37564 IS 5 37565 BP 618 37566 EP 623 37567 PG 6 37568 SC Immunology; Infectious Diseases; Microbiology 37569 GA 197LM 37570 UT ISI:000248557000024 37571 ER 37572 37573 PT J 37574 AU Reidsma, P 37575 Ewert, F 37576 Lansink, AO 37577 AF Reidsma, Pytrik 37578 Ewert, Frank 37579 Lansink, Alfons Oude 37580 TI Analysis of farm performance in Europe under different climatic and 37581 management conditions to improve understanding of adaptive capacity 37582 SO CLIMATIC CHANGE 37583 LA English 37584 DT Article 37585 ID LAND-USE; FUTURE SCENARIOS; ELEVATED CO2; ADAPTATION; VULNERABILITY; 37586 IMPACTS; MODELS; AGRICULTURE; VARIABILITY; SYSTEMS 37587 AB The aim of this paper is to improve understanding of the adaptive 37588 capacity of European agriculture to climate change. Extensive data on 37589 farm characteristics of individual farms from the Farm Accountancy Data 37590 Network (FADN) have been combined with climatic and socio-economic data 37591 to analyze the influence of climate and management on crop yields and 37592 income and to identify factors that determine adaptive capacity. A 37593 multilevel analysis was performed to account for regional differences 37594 in the studied relationships. Our results suggest that socio-economic 37595 conditions and farm characteristics should be considered when analyzing 37596 effects of climate conditions on farm yields and income. Next to 37597 climate, input intensity, economic size and the type of land use were 37598 identified as important factors influencing spatial variability in crop 37599 yields and income. Generally, crop yields and income are increasing 37600 with farm size and farm intensity. However, effects differed among 37601 crops and high crop yields were not always related to high incomes, 37602 suggesting that impacts of climate and management differ by impact 37603 variable. As farm characteristics influence climate impacts on crop 37604 yields and income, they are good indicators of adaptive capacity at 37605 farm level and should be considered in impact assessment models. 37606 Different farm types with different management strategies will adapt 37607 differently. 37608 C1 Wageningen Univ, Grp Plant Prod Syst, Dept Plant Sci, NL-6700 AK Wageningen, Netherlands. 37609 Netherlands Environm Assessment Agcy RIVM MNP, NL-3720 BA Bilthoven, Netherlands. 37610 Wageningen Univ, Dept Social Sci Business Econ, NL-6700 EW Wageningen, Netherlands. 37611 RP Reidsma, P, Wageningen Univ, Grp Plant Prod Syst, Dept Plant Sci, POB 37612 430, NL-6700 AK Wageningen, Netherlands. 37613 EM pytrik.reidsma@wur.nl 37614 CR *IMAGE TEAM, 2001, IMAGE 2 2 IMPL SRES 37615 *IPCC, 2001, CLIM CHANG 2001 IMP 37616 ALLISON PD, 1999, LOGISTIC REGRESSION 37617 ANDERSEN E, 2004, OECD EXP M FARM MAN 37618 ANTLE JM, 2004, CLIMATIC CHANGE, V64, P289 37619 BAKKER MM, 2005, AGR ECOSYST ENVIRON, V110, P195 37620 CASWELL M, 2001, ADOPTION AGR PRODUCT 37621 DOWNING TE, 2000, 21 U OXF ENV CHANG I 37622 EASTERLING WE, 2003, CLIMATIC CHANGE, V60, P149 37623 EWERT F, 2005, AGR ECOSYST ENVIRON, V107, P101 37624 GITAY H, 2001, CLIMATE CHANGE 2001, P237 37625 HARRISON SP, 1995, CLIMATE CHANGE AGR E, P411 37626 HAUSMAN JA, 1978, ECONOMETRICA, V46, P1251 37627 IGLESIAS A, 2000, GLOBAL ENVIRON CHANG, V10, P69 37628 KAISER HM, 1993, AM J AGR ECON, V75, P387 37629 KAUFMANN RK, 1997, AM J AGR ECON, V79, P178 37630 LIU H, 2004, CLIMATIC CHANGE, V65, P125 37631 MCCULLOCH CE, 2001, GEN LINEAR MIXED MOD 37632 MENDELSOHN R, 1994, AM ECON REV, V84, P753 37633 MENDELSOHN R, 1999, WORLD BANK RES OBSER, V14, P277 37634 METZGER MJ, 2005, THESIS WAGENINGEN U, P192 37635 METZGER MJ, 2006, AGR ECOSYST ENVIRON, V114, P69 37636 MOLUA EL, 2002, ENVIRON DEV ECON 3, V7, P529 37637 NEW M, 2002, CLIMATE RES, V21, P1 37638 OOMS DL, 2005, EUR REV AGRIC ECON, V32, P517 37639 PAN WKY, 2004, AGR ECOSYST ENVIRON, V101, P117 37640 PARRY ML, 2004, GLOBAL ENVIRON CHANG, V14, P53 37641 POLSKY C, 2001, AGR ECOSYST ENVIRON, V85, P133 37642 REID WV, 2005, MILLENIUM ECOSYSTEM 37643 REIDSMA P, 2007, GLOBAL ENV CHANGE 37644 REILLY J, 2002, AGR POTENTIAL CONSEQ 37645 ROUNSEVELL MDA, 2005, AGR ECOSYST ENVIRON, V107, P117 37646 SAARIKKO RA, 2000, ECOL MODEL, V131, P191 37647 SCHROTER D, 2003, 5 OPEN M HUM DIM GLO 37648 SCHROTER D, 2005, SCIENCE, V310, P1333 37649 SHEIKH AD, 2003, AGR SYST, V75, P79 37650 SMIT B, 2001, CLIMATE CHANGE 2001, P876 37651 SNIJDERS TAB, 1999, MULTILEVEL ANAL INTR 37652 STERK B, 2006, AGR SYST, V87, P211 37653 TRNKA M, 2004, CLIMATIC CHANGE, V64, P227 37654 TUBIELLO FN, 2000, EUR J AGRON, V13, P179 37655 TUBIELLO FN, 2002, EUR J AGRON, V18, P57 37656 VANITTERSUM MK, 2003, EUR J AGRON, V18, P201 37657 VANMEIJL H, 2006, AGR ECOSYST ENVIRON, V114, P421 37658 WOLF J, 1995, CLIMATIC CHANGE, V29, P299 37659 NR 45 37660 TC 0 37661 PU SPRINGER 37662 PI DORDRECHT 37663 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 37664 SN 0165-0009 37665 J9 CLIMATIC CHANGE 37666 JI Clim. Change 37667 PD OCT 37668 PY 2007 37669 VL 84 37670 IS 3-4 37671 BP 403 37672 EP 422 37673 PG 20 37674 SC Environmental Sciences; Meteorology & Atmospheric Sciences 37675 GA 202NV 37676 UT ISI:000248911200009 37677 ER 37678 37679 PT J 37680 AU Yoo, Y 37681 Sohn, JW 37682 Park, DW 37683 Kim, JY 37684 Shin, HK 37685 Lee, Y 37686 Choung, JT 37687 Lee, CK 37688 Kim, MJ 37689 AF Yoo, Young 37690 Sohn, Jang Wook 37691 Park, Dae Won 37692 Kim, Jeong Yeon 37693 Shin, Hye Kyung 37694 Lee, Yoon 37695 Choung, Ji Tae 37696 Lee, Chang Kyu 37697 Kim, Min Ja 37698 TI Clinical evaluation of the SD bioline influenza virus antigen test for 37699 rapid detection of influenza viruses A and B in children and adults 37700 during the influenza season 37701 SO CLINICAL AND VACCINE IMMUNOLOGY 37702 LA English 37703 DT Article 37704 ID RESPIRATORY VIRUSES; DIAGNOSTIC-TESTS; SURVEILLANCE; INFECTIONS; 37705 MANAGEMENT; IMPACT; ASSAY 37706 AB The performance of the SD Bioline rapid antigen test kit for influenza 37707 virus detection was evaluated with 295 respiratory specimens during the 37708 influenza season. The overall sensitivity and specificity of the SD 37709 Bioline test were 61.9% and 96.8% for the influenza A virus antigen and 37710 54.5% and 100% for the influenza B virus antigen, respectively. The 37711 results were consistent with peak influenza activities. 37712 C1 Korea Univ, Coll Med, Dept Internal Med, Div Infect Dis, Seoul 136705, South Korea. 37713 Korea Univ, Dept Pediat, Seoul 136705, South Korea. 37714 Korea Univ, Dept Lab Med, Seoul 136705, South Korea. 37715 Korea Univ, Inst Emerging Infect Dis, Seoul 136705, South Korea. 37716 RP Kim, MJ, Korea Univ, Coll Med, Dept Internal Med, Div Infect Dis, 126-1 37717 Anam Dong 5-Ga, Seoul 136705, South Korea. 37718 EM macropha@korea.ac.kr 37719 CR AGORITSAS K, 2006, J CLIN MICROBIOL, V44, P2638 37720 BARENFANGER J, 2001, J CLIN VIROL, V22, P101 37721 BELLEI N, 2003, J VIROL METHODS, V109, P85 37722 BONNER AB, 2003, PEDIATRICS, V112, P363 37723 CAZACU AC, 2003, J CLIN MICROBIOL, V41, P2132 37724 CHAN KH, 2002, J CLIN MICROBIOL, V40, P1675 37725 EFFLER PV, 2002, EMERG INFECT DIS, V8, P23 37726 FONG CKY, 2000, J CLIN MICROBIOL, V38, P4660 37727 JENSEN C, 1994, DIAGN MICR INFEC DIS, V19, P137 37728 MCBEAN AM, 1993, ARCH INTERN MED, V153, P2105 37729 NEUZIL KM, 2002, J INFECT DIS, V185, P147 37730 NOYOLA DE, 2000, PEDIATR INFECT DIS J, V19, P303 37731 PREGLIASCO F, 2004, J MED VIROL, V73, P269 37732 RODRIGUEZ WJ, 2002, PEDIATR INFECT DIS J, V21, P193 37733 STEININGER C, 2002, J CLIN MICROBIOL, V40, P2051 37734 WUNDERLI W, 2003, CLIN MICROBIOL INFEC, V9, P295 37735 NR 16 37736 TC 0 37737 PU AMER SOC MICROBIOLOGY 37738 PI WASHINGTON 37739 PA 1752 N ST NW, WASHINGTON, DC 20036-2904 USA 37740 SN 1556-6811 37741 J9 CLIN VACCINE IMMUNOL 37742 JI Clin. Vaccine Immunol. 37743 PD AUG 37744 PY 2007 37745 VL 14 37746 IS 8 37747 BP 1050 37748 EP 1052 37749 PG 3 37750 SC Immunology; Infectious Diseases; Microbiology 37751 GA 200XM 37752 UT ISI:000248796100016 37753 ER 37754 37755 PT J 37756 AU Zhang, K 37757 Yuen, MMF 37758 Gao, JH 37759 Xu, B 37760 AF Zhang, K. 37761 Yuen, M. M. F. 37762 Gao, J. H. 37763 Xu, B. 37764 TI Fabrication of high thermal conductivity carbon nanotube arrays by self 37765 assembled Fe3O4 particles 37766 SO CIRP ANNALS-MANUFACTURING TECHNOLOGY 37767 LA English 37768 DT Article 37769 DE chemical vapor deposition (CVD); carbon nanotube; thermal 37770 ID GROWTH; NANOPARTICLES 37771 AB The outstanding properties of carbon nanotubes (CNTs) have induced 37772 widespread interest in researches and applications. A new approach of 37773 fabricating vertically aligned CNT arrays with good CNT size and 37774 distribution control, and enhanced substrate attachment is under 37775 development. This technique includes fabrication and size tuning of 37776 Fe3O4 nanoparticles, buffer layer preparation on Si substrates, self 37777 assembly of Fe3O4 nanoparticles on substrates, CNT synthesis by thermal 37778 CVD with optimized operation parameters. One application of the 37779 synthesized CNT arrays is serving as thermal interface material to meet 37780 the thermal management challenge in high power microelectronic 37781 packages. The thermal performance of the synthesized CNT arrays was 37782 evaluated. 37783 C1 Hong Kong Univ Sci & Technol, Dept Mech Engn, Kowloon, Hong Kong, Peoples R China. 37784 Hong Kong Univ Sci & Technol, Dept Chem, Kowloon, Hong Kong, Peoples R China. 37785 RP Zhang, K, Hong Kong Univ Sci & Technol, Dept Mech Engn, Clear Water 37786 Bay, Kowloon, Hong Kong, Peoples R China. 37787 CR BRONIKOWSKI MJ, 2006, CARBON, V44, P2822 37788 CASSELL AM, 1999, J PHYS CHEM B, V103, P6484 37789 HATA K, 2004, SCIENCE, V306, P1362 37790 HOMMA Y, 2003, J PHYS CHEM B, V107, P12161 37791 JUNG YJ, 2003, NANO LETT, V3, P561 37792 KIM SG, 2006, ANN CIRP, V55, P15 37793 SUN SH, 2000, SCIENCE, V287, P1989 37794 SUN SH, 2002, J AM CHEM SOC, V124, P8204 37795 ZENG H, 2004, J AM CHEM SOC, V126, P11458 37796 ZHANG K, 2006, P 56 EL COMP TECHN C, P177 37797 ZHANG Y, 2000, APPL PHYS LETT, V77, P3015 37798 NR 11 37799 TC 0 37800 PU TECHNISCHE RUNDSCHAU EDITION COLIBRI LTD 37801 PI BERN 37802 PA NORDRING 4, CH-3001 BERN, SWITZERLAND 37803 SN 0007-8506 37804 J9 CIRP ANN-MANUF TECHNOL 37805 JI CIRP Ann-Manuf. Technol. 37806 PY 2007 37807 VL 56 37808 IS 1 37809 BP 245 37810 EP 248 37811 PG 4 37812 SC Engineering, Industrial; Engineering, Manufacturing 37813 GA 194ZU 37814 UT ISI:000248383100060 37815 ER 37816 37817 PT J 37818 AU Schneider, BJ 37819 El-Rayes, B 37820 Muler, JH 37821 Philip, PA 37822 Kalemkerian, GP 37823 Griffith, KA 37824 Zalupski, MM 37825 AF Schneider, Bryan J. 37826 El-Rayes, Basil 37827 Muler, Jeffery H. 37828 Philip, Philip A. 37829 Kalemkerian, Gregory P. 37830 Griffith, Kent A. 37831 Zalupski, Mark M. 37832 TI Phase II trial of carboplatin, gemcitabine, and capecitabine in 37833 patients with carcinoma of unknown primary site 37834 SO CANCER 37835 LA English 37836 DT Article 37837 DE carcinoma of unknown primary; chemotherapy; experimental therapeutics; 37838 gemcitabine; capecitabine 37839 ID CANCER-RESEARCH-NETWORK; POORLY DIFFERENTIATED ADENOCARCINOMA; 37840 PROGNOSTIC-FACTORS; COMBINATION CHEMOTHERAPY; METASTATIC CARCINOMA; 37841 PACLITAXEL; STATISTICS; MANAGEMENT; CISPLATIN; ORIGIN 37842 AB BACKGROUND. The purposes of this study were to evaluate efficacy and 37843 toxicity of the combination of carboplatin, gemcitabine, and 37844 capecitabine in patients with carcinoma of unknown primary site (CUP). 37845 METHODS. Patients with CUP received carboplatin AUC 5 mg/mL a minute 37846 intra venously Day 1, gemcitabine 1000 mg/m(2) intravenously Days 1 and 37847 8, and capecitabine 1600 mg/m2 orally in divided doses, Days 1-14 of a 37848 21-day cycle for up to 8 cycles. The primary endpoint of the study was 37849 objective response rate by intent-to-treat analysis. 37850 RESULTS. Thirty-three patients were treated (median age, 58 years; 37851 men:women ratio, 19:14). Most patients had a baseline performance 37852 status of 1. The objective response rate was 39.4% (95% CI, 37853 22.9%-57.9%) in all patients, 36.4% in 22 patients with well to 37854 moderately differentiated adenocarcinoma, and 40.0% in 20 patients with 37855 liver metastases. Median progression -free survival time was 6.2 months 37856 (95% Cl, 5.4%-8.01/0), and median survival time was 7.6 months (95% CI, 37857 6.3-14.1). One and 2-year survival rates were 35.6% and 14.2%, 37858 respectively. The most frequent grade >= 3 adverse events were 37859 neutropenia (67%), thrombocytopenia (48%), and anemia (33%). 37860 CONCLUSIONS. The combination of carboplatin, gemcitabine, and 37861 capecitabine is active in CUP, especially in patients with liver 37862 metastases. This regimen may be a potential therapy for CUP patients 37863 with good performance status, particularly those with a suspected 37864 origin below the diaphragm. 37865 C1 Univ Michigan, Dept Internal Med, Div Hematol, Ann Arbor, MI 48109 USA. 37866 Univ Michigan, Dept Internal Med, Div Oncol, Ann Arbor, MI 48109 USA. 37867 Karmanos Canc Inst, Div Hematol Oncol, Detroit, MI USA. 37868 Univ Michigan, Canc Ctr, Biostat Core Facil, Ann Arbor, MI USA. 37869 RP Schneider, BJ, Univ Michigan, Dept Internal Med, Div Hematol, 1500 E 37870 Med Ctr Dr,C361 MIB, Ann Arbor, MI 48109 USA. 37871 EM bryansch@umich.edu 37872 CR *NAT COMPR CANC NE, 2005, OCC PRIM 37873 ABBRUZZESE JL, 1994, J CLIN ONCOL, V12, P1272 37874 ALBERTS AS, 1989, MED PEDIATR ONCOL, V17, P188 37875 BRIASOULIS E, 2000, J CLIN ONCOL, V18, P3101 37876 ELRAYES BF, 2005, AM J CLIN ONCOL-CANC, V28, P152 37877 GRECO FA, 2002, J CLIN ONCOL, V20, P1651 37878 GRECO FA, 2004, ONCOLOGIST, V9, P644 37879 HAINSWORTH JD, 1992, J CLIN ONCOL, V10, P912 37880 HAINSWORTH JD, 1997, J CLIN ONCOL, V15, P2385 37881 HAINSWORTH JD, 2005, CANCER, V104, P1992 37882 JEMAL A, 2006, CA-CANCER J CLIN, V56, P106 37883 KAUFMAN D, 2000, J CLIN ONCOL, V18, P1921 37884 LANGER CJ, 1998, SEMIN ONCOL S9, V25, P51 37885 LENZI R, 1997, J CLIN ONCOL, V15, P2056 37886 MADAJEWICZ S, 2000, J CLIN ONCOL, V18, P3553 37887 MAYORDOMO JI, 1993, TUMORI, V79, P321 37888 NYSTROM JS, 1977, SEMIN ONCOL, V4, P53 37889 PARKER SL, 1996, CA-CANCER J CLIN, V46, P5 37890 PASTERZ R, 1986, J CLIN ONCOL, V4, P1652 37891 PAVLIDIS N, 2003, EUR J CANCER, V39, P1990 37892 SHILDT RA, 1983, CANCER TREAT REP, V67, P77 37893 SIMON R, 1989, CONTROL CLIN TRIALS, V10, P1 37894 THERASSE P, 2000, J NATL CANCER I, V92, P205 37895 VANDEWOUW AJ, 2004, ANTICANCER RES, V24, P297 37896 NR 24 37897 TC 0 37898 PU JOHN WILEY & SONS INC 37899 PI HOBOKEN 37900 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 37901 SN 0008-543X 37902 J9 CANCER 37903 JI Cancer 37904 PD AUG 15 37905 PY 2007 37906 VL 110 37907 IS 4 37908 BP 770 37909 EP 775 37910 PG 6 37911 SC Oncology 37912 GA 197WH 37913 UT ISI:000248586700010 37914 ER 37915 37916 PT J 37917 AU Laskar, S 37918 Bahl, G 37919 Muckaden, MA 37920 Nair, R 37921 Gupta, S 37922 Bakshi, A 37923 Gujral, S 37924 Shet, T 37925 Shrivastava, SK 37926 Dinshaw, KA 37927 AF Laskar, Siddhartha 37928 Bahl, Gaurav 37929 Muckaden, Mary Ann 37930 Nair, Reena 37931 Gupta, Sudeep 37932 Bakshi, Ashish 37933 Gujral, Sumeet 37934 Shet, Tanuja 37935 Shrivastava, Shyam Kishore 37936 Dinshaw, Ketayun Ardeshir 37937 TI Primary diffuse large B-cell lymphoma of the tonsil - Is a higher 37938 radiotherapy dose required? 37939 SO CANCER 37940 LA English 37941 DT Article 37942 DE diffuse large B-cell lymphoma; non-Hodgkin; extranodal; tonsil; 37943 radiotherapy 37944 ID NON-HODGKINS-LYMPHOMA; WALDEYERS RING; PROGNOSTIC-FACTORS; NECK; HEAD; 37945 EXPERIENCE; INVOLVEMENT; MANAGEMENT 37946 AB BACKGROUND. The purpose was to evaluate the prognostic factors and 37947 treatment outcome of Indian patients with primary diffuse large B-cell 37948 lymphoma (DLBCL) of the tonsil treated at a single institution. 37949 METHODS. In all, 121 patients with DLBCL of the tonsil, treated at the 37950 Tata Memorial Hospital, Mumbai, India, from January 1990 to December 37951 2002, were included. The median age was 45 years and the majority of 37952 patients (68%) were males. Systemic symptoms were present in 12% of 37953 patients; 28% presented with stage I and 67% had stage 11 disease. 37954 Treatment consisted of a combination of chemotherapy (CTh) and 37955 radiotherapy (RT) for the majority of patients (69.4%). Among those 37956 receiving RT, 64% received an RT dose of >= 45 Gy. 37957 RESULTS. After a median follow-up of 62 months, disease-free survival 37958 (DFS) and overall survival (OS) were 66.4% and 81.6%, respectively. 37959 Significant prognostic factors included: WHO performance score >= 2 37960 (OS: 72.1% vs 95.6%, P =.016), bulky tumors (OS: 68.5% vs 86.9%, P 37961 =.001), presence of B-symptoms (OS: 36.7% vs 79.6%, P <.001), and Ann 37962 Arbor stage. On multivariate analysis; WHO performance score >= 2 37963 (hazard ratio [HR], 4.27; 95% confidence interval [CI], 1.20-15.12), 37964 and B symptoms (HR, 6.27; 95% CI, 2.38-16.48), retained statistical 37965 significance. CTh + RT resulted in a significantly better outcome than 37966 those treated with CTh alone (OS: 85.7% vs 70.7%, P =.008). The 37967 complete response (P =.053), DFS (P =.039), and OS (P =.014) rates were 37968 significantly better for patients receiving an RT dose >= 45 Gy. 37969 CONCLUSIONS. Tumor bulk, WHO performance score, the presence of B 37970 symptoms, and Ann Arbor stage significantly influence Outcome. A 37971 combined modality treatment, consisting of CTh and RT (with an RT dose 37972 of >= 45 Gy), results in a satisfactory outcome in patients with this 37973 uncommon neoplasm. 37974 C1 Tata Mem Hosp, Dept Radiat Oncol, Tata Mem Ctr, Bombay 400012, Maharashtra, India. 37975 Tata Mem Hosp, Tat Mem Ctr, Dept Med Oncol, Bombay, Maharashtra, India. 37976 Tata Mem Hosp, Tata Mem Ctr, Dept Pathol, Bombay, Maharashtra, India. 37977 RP Laskar, S, Tata Mem Hosp, Dept Radiat Oncol, Tata Mem Ctr, Dr Ernest 37978 Borges Rd, Bombay 400012, Maharashtra, India. 37979 EM laskars2000@yahoo.com 37980 CR *WHO, 1979, 48 WHO 37981 AVILES A, 1996, EUR J CANC B, V32, P19 37982 BAJETTA E, 1983, TUMORI, V69, P129 37983 BANFI A, 1970, CANCER, V26, P341 37984 DOLL DC, 1999, SEMIN ONCOL, V26, P249 37985 EZZAT AA, 2001, HEAD NECK-J SCI SPEC, V23, P547 37986 GAO Y, 2002, ZHONGHUA ZHONG LIU Z, V24, P483 37987 GAO YH, 2003, ZHONGHUA XUE YE XUE, V24, P190 37988 GLICK JH, 1995, P AN M AM SOC CLIN, V14, P1221 37989 HARABUCHI Y, 1997, ACTA ONCOL, V36, P413 37990 HARRIS NL, 1994, BLOOD, V84, P1361 37991 HART S, 2004, CLIN ONCOL-UK, V16, P186 37992 HOPPE RT, 1978, CANCER, V42, P1096 37993 ISOBE K, 2006, CANCER, V106, P609 37994 JACOBS C, 1985, INT J RADIAT ONCOL, V11, P357 37995 JACOBS C, 1986, ARCH OTOLARYNGOL, V112, P654 37996 KONDO M, 1985, ACTA RADIOL ONCOL, V24, P153 37997 KOOM WS, 2004, INT J RADIAT ONCOL, V59, P1127 37998 LASKAR S, 2006, LEUKEMIA LYMPHOMA, V47, P2132 37999 MOHAMMADIANPANAH M, 2005, ANN HEMATOL, V84, P223 38000 NATHU RM, 1999, HEAD NECK-J SCI SPEC, V21, P247 38001 QIN Y, 2006, AI ZHENG, V25, P481 38002 SAUL SH, 1985, CANCER, V56, P157 38003 YAMANAKA N, 1985, CANCER, V56, P768 38004 NR 24 38005 TC 0 38006 PU JOHN WILEY & SONS INC 38007 PI HOBOKEN 38008 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 38009 SN 0008-543X 38010 J9 CANCER 38011 JI Cancer 38012 PD AUG 15 38013 PY 2007 38014 VL 110 38015 IS 4 38016 BP 816 38017 EP 823 38018 PG 8 38019 SC Oncology 38020 GA 197WH 38021 UT ISI:000248586700016 38022 ER 38023 38024 PT J 38025 AU van den Berg, H 38026 von Hildebrand, A 38027 Ragunathan, V 38028 Das, PK 38029 AF van den Berg, Henk 38030 von Hildebrand, Alexander 38031 Ragunathan, Vaithilingam 38032 Das, Pradeep K. 38033 TI Reducing vector-borne disease by empowering farmers in integrated 38034 vector management 38035 SO BULLETIN OF THE WORLD HEALTH ORGANIZATION 38036 LA English 38037 DT Article 38038 ID SRI-LANKA; FIELD SCHOOLS; RICE FIELDS; MALARIA; POPULATIONS; 38039 IRRIGATION; PREVENTION; ECOSYSTEM; VILLAGE; COMPLEX 38040 AB Problem Irrigated agriculture exposes rural people to health risks 38041 associated with vector-borne diseases and pesticides used in 38042 agriculture and for public health protection. Most developing countries 38043 lack collaboration between the agricultural and health sectors to 38044 jointly address these problems. 38045 Approach We present an evaluation of a project that uses the "farmer 38046 field school" method to teach farmers how to manage vector-borne 38047 diseases and how to improve rice yields. Teaching farmers about these 38048 two concepts together is known as "integrated pest and vector 38049 management". 38050 Local setting An intersectoral project targeting rice irrigation 38051 systems in Sri Lanka. 38052 Relevant changes Project partners developed a new curriculum for the 38053 field school that included a component on vector-borne diseases. Rice 38054 farmers in intervention villages who graduated from the field school 38055 took vector-control actions as well as improving environmental 38056 sanitation and their personal protection measures against disease 38057 transmission. They also reduced their use of agricultural pesticides, 38058 especially insecticides. 38059 Lessons learned The intervention motivated and enabled rural people to 38060 take part in vector-management activities and to reduce several 38061 environmental health risks. There is scope for expanding the curriculum 38062 to include information on the harmful effects of pesticides on human 38063 health and to address other public health concerns, Benefits of this 38064 approach for community-based health programmes have not yet been 38065 optimally assessed.Also, the institutional basis of the integrated 38066 management approach needs to be broadened so that people from a wider 38067 range of organizations take part.A monitoring and evaluation system 38068 needs to be established to measure the performance of integrated 38069 management initiatives. 38070 C1 Wageningen Univ, Entomol Lab, NL-6700 EH Wageningen, Netherlands. 38071 WHO, Reg Off S East Asia, New Delhi, India. 38072 Food & Agr Org, New Delhi, India. 38073 Vector Control Res Ctr, Pondicherry, India. 38074 RP van den Berg, H, Wageningen Univ, Entomol Lab, NL-6700 EH Wageningen, 38075 Netherlands. 38076 EM henk.vandenberg@wur.nl 38077 CR *WHO, 2004, WHOCDSCPEPVC200410 38078 *WHO, 2005, WORLD HLTH REP 2005 38079 AMERASINGHE FP, 1997, J MED ENTOMOL, V34, P290 38080 AMERASINGHE PH, 1999, AM J TROP MED HYG, V60, P421 38081 DIABATE A, 2002, AM J TROP MED HYG, V67, P617 38082 ERLANGER TE, 2005, AM J TROP MED HYG, V73, P523 38083 GHOSH SK, 2005, T ROY SOC TROP MED H, V99, P101 38084 GILLES HM, 1993, BRUCECHWATTS ESSENTI 38085 IJUMBA JN, 2001, MED VET ENTOMOL, V15, P1 38086 KEISER J, 2005, ACTA TROP, V95, P40 38087 KEISER J, 2005, AM J TROP MED HYG, V72, P392 38088 KENMORE PE, 1996, BIOTECHNOLOGY INTEGR, P76 38089 KISHI M, 2005, PESTICIDE DETOX, P23 38090 KONRADSEN F, 2003, TOXICOLOGY, V192, P249 38091 MURPHY HH, 2002, INT J OCCUP ENV HEAL, V8, P201 38092 OVERGAARD HJ, 2005, SE ASIAN J TROP M S4, V36, S152 38093 PINTIUS JC, 2002, 10 YEARS IPM TRAININ 38094 PREMASIRI DAR, 2005, T ROY SOC TROP MED H, V99, P106 38095 QUNHUA L, 2004, ACTA TROP, V89, P241 38096 SERVICE MW, 1977, J MED ENTOMOL, V13, P535 38097 SETTLE WH, 1996, ECOLOGY, V77, P1975 38098 TOWNSON H, 2005, B WORLD HEALTH ORGAN, V83, P942 38099 TRIPP R, 2005, WORLD DEV, V33, P1705 38100 VANDENBERG H, 2003, PESTICIDES NEWS, V61, P14 38101 VANDENBERG H, 2006, MALARIA J, V5 38102 VANDENBERG H, 2007, WORLD DEV, V35, P663 38103 VANDENBERGH H, 2006, EVALUATION INTEGRATE 38104 VICTOR TJ, 2000, MED VET ENTOMOL, V14, P361 38105 YASUOKA J, 2006, AM J TROP MED HYG, V74, P1034 38106 YASUOKA J, 2006, T ROY SOC TROP MED H, V100, P995 38107 NR 30 38108 TC 0 38109 PU WORLD HEALTH ORGANIZATION 38110 PI GENEVA 27 38111 PA MARKETING AND DISSEMINATION, CH-1211 GENEVA 27, SWITZERLAND 38112 SN 0042-9686 38113 J9 BULL WHO 38114 JI Bull. World Health Organ. 38115 PD JUL 38116 PY 2007 38117 VL 85 38118 IS 7 38119 BP 561 38120 EP 566 38121 PG 6 38122 SC Public, Environmental & Occupational Health 38123 GA 190LX 38124 UT ISI:000248061400013 38125 ER 38126 38127 PT J 38128 AU Scholz, M 38129 Grabowlecki, P 38130 AF Scholz, Miklas 38131 Grabowlecki, Plotr 38132 TI Review of permeable pavement systems 38133 SO BUILDING AND ENVIRONMENT 38134 LA English 38135 DT Article 38136 DE design; geotextile; geothermal heating and cooling system; permeable 38137 pavement; porous pavement; sustainable drainage system 38138 ID URBAN DRAINAGE SYSTEM; STORMWATER MANAGEMENT; RUNOFF WATER; QUALITY; 38139 BIODEGRADATION; PERFORMANCE; BEHAVIOR; AREAS 38140 AB The purpose of this review paper is to summarise the wide-range but 38141 diffuse literature on predominantly permeable pavement systems (PPS), 38142 highlight current trends in research and industry, and to recommend 38143 future areas of research and development. The development of PPS as an 38144 integral part of sustainable drainage systems is reviewed in the 38145 context of traditional and modern urban drainage. Particular emphasise 38146 is given to detailed design, maintenance and water quality control 38147 aspects. The most important target pollutants are hydrocarbons, heavy 38148 metals and nutrients (i.e. nitrogen and phosphorus). The advantages and 38149 disadvantages of different PPS are discussed with the help of recent 38150 case studies. The latest innovations are highlighted and explained, and 38151 their potential for further research work is outlined. Recent research 38152 on the development of a combined geothermal heating and cooling, water 38153 treatment, and recycling pavement system is promising. (c) 2006 38154 Elsevier Ltd. All rights reserved. 38155 C1 Univ Edinburgh, Sch Elect & Engn, Inst Infrastruct & Environm, Edinburgh EH9 3JL, Midlothian, Scotland. 38156 RP Scholz, M, Univ Edinburgh, Sch Elect & Engn, Inst Infrastruct & 38157 Environm, William Rankine Bdg,Kings Bldg, Edinburgh EH9 3JL, 38158 Midlothian, Scotland. 38159 EM m.scholz@ed.ac.uk 38160 CR *NCDENR, 2005, DOC71 NCDENR 38161 ABBOT CL, 2003, J CHART INST WATER E, V17, P187 38162 ANDERSEN CT, 1999, HYDROL PROCESS, V13, P597 38163 ASTEBOL SO, 2004, SCI TOTAL ENVIRON, V334, P239 38164 BALKEMA AJ, 2002, URBAN WATER, V4, P153 38165 BARRELL RAE, 2000, COMMUN DIS PUBLIC HL, V3, P8 38166 BEAN EZ, 2004, P AM SOC CIV ENG EWW 38167 BOOTH DB, 1999, J AM PLANN ASSOC, V65, P314 38168 BRATTEBO BO, 2003, WATER RES, V37, P4369 38169 CAOI SL, 1998, DRAINAGE DESIGN PERF 38170 CHOUBANE B, 1998, J ASS ASPHALT PAVING, V67, P254 38171 COUPE SJ, 2003, EUR J PROTISTOL, V39, P495 38172 DARCY BJ, 1998, WATER SCI TECHNOL, V38, P131 38173 DIERKES C, 2002, MELBOURNE WATER 38174 DIERKES C, 2002, P 9 INT C URB DRAIN 38175 JAMES W, 2003, P 7 INT C CONCR BLOC 38176 KELLEMS BL, 2003, P WAT WORLD ENV RES 38177 LEGRET M, 1996, SCI TOTAL ENVIRON, V190, P335 38178 LEI L, 2005, WATER RES, V39, P349 38179 MALLICK RB, 2003, 302 NCAT 38180 NEWMAN AP, 2002, P 9 INT C URB DRAIN, P1 38181 NEWMAN AP, 2004, Q J ENG GEOL HYDRO 4, V37, P283 38182 NISHIGAKI M, 2000, WASTE MANAGE, V20, P185 38183 OMOTO S, 2003, P 7 INT C CONCR BLOC 38184 PAGOTTO C, 2000, WATER RES, V34, P4446 38185 PINDADO MA, 1999, CEMENT CONCRETE RES, V29, P1077 38186 PRATT CJ, 1999, WATER SCI TECHNOL, V39, P109 38187 ROSSI L, 2005, WATER RES, V39, P4188 38188 SCHLUTER W, 2004, URBAN WATER, V4, P245 38189 SCHOLZ M, 2006, ENVIRON ENG SCI, V23, P908 38190 SCHOLZ M, 2006, P I CIV ENG ENG SUST, V159, P117 38191 SCHOLZ M, 2006, WETLAND SYSTEMS CONT 38192 WILSON S, 2003, P I CIV ENG ENG SUST, V156, P51 38193 YANG J, 2003, CEMENT CONCRETE RES, V33, P381 38194 NR 34 38195 TC 0 38196 PU PERGAMON-ELSEVIER SCIENCE LTD 38197 PI OXFORD 38198 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 38199 SN 0360-1323 38200 J9 BLDG ENVIRON 38201 JI Build. Environ. 38202 PD NOV 38203 PY 2007 38204 VL 42 38205 IS 11 38206 BP 3830 38207 EP 3836 38208 PG 7 38209 SC Construction & Building Technology; Engineering, Environmental; 38210 Engineering, Civil 38211 GA 202BW 38212 UT ISI:000248877600005 38213 ER 38214 38215 PT J 38216 AU Martin-Fernandez, J 38217 Gomez-Gascon, T 38218 Beamud-Lagos, M 38219 Cortes-Rubio, JA 38220 Alberquilla-Menendez-Asenjo, A 38221 AF Martin-Fernandez, Jesus 38222 Gomez-Gascon, Tomas 38223 Beamud-Lagos, Milagros 38224 Cortes-Rubio, Jose Alfonso 38225 Alberquilla-Menendez-Asenjo, Angel 38226 TI Professional quality of life and organizational changes: a five-year 38227 observational study in Primary Care 38228 SO BMC HEALTH SERVICES RESEARCH 38229 LA English 38230 DT Article 38231 ID GENERAL-PRACTITIONERS; WORK-ENVIRONMENT; JOB-SATISFACTION; HEALTH; 38232 CONTRACT; STRESS; MODEL 38233 AB Background: The satisfaction and the quality of life perceived by 38234 professionals have implications for the performance of health 38235 organizations. We have assessed the variations in professional quality 38236 of life ( PQL) and their explanatory factors during a services 38237 management decentralization process. 38238 Methods: It was designed as a longitudinal analytical observational 38239 study in a Health Area in Madrid, Spain. Three surveys were sent out 38240 during an ongoing management decentralization process between 2001 and 38241 2005. The professionals surveyed were divided into three groups: Group 38242 I ( 97.3% physicians), group II ( 92.5% nurses) and group III ( 38243 auxiliary personnel). Analysis of the tendency and elaboration of an 38244 explanatory multivariate model was made. The PQL - 35 questionnaire, 38245 based on Karasek's demand-control theory, was used to measure PQL. This 38246 questionnaire recognizes three PQL dimensions: management support ( 38247 MS), workload ( WL) and intrinsic motivation ( IM). 38248 Results: 1444 responses were analyzed. PQL increased 0.16 ( CI 95% 0.04 38249 - 0.28) points in each survey. Group II presents over time a higher PQL 38250 score than group I of 0.38 ( IC 95% 0.18 - 0.59) points. There is no 38251 difference between groups I and III. 38252 For each point that MS increases, PQL increases between 0.44 and 0.59 38253 points. PQL decreases an average of between 0.35 and 0.49 point, for 38254 each point that WL increases. 38255 Age appears to have a marginal association with PQL ( CI 95% 0.00 - 38256 0.02), as it occurs with being single or not having a stable 38257 relationship ( CI 95% 0.01 - 0.41). Performing management tasks 38258 currently or in the past is related to poorer PQL perception ( CI 95% 38259 -0.45 - -0.06), and the same occurs with working other than morning 38260 shifts ( CI 95% -0.03 - -0.40 points). 38261 PQL is not related to sex, location of the centre ( rural/urban), time 38262 spent working in the organization or contractual situation. 38263 Conclusion: With the improvement in work control and avoiding increases 38264 in workloads, PQL perception can be maintained despite deep 38265 organizational changes at the macro-management level. Different 38266 professional groups experience different perceptions depending on how 38267 the changes impact their position in the organization. 38268 C1 San Martin Valdeiglesias Hlth Ctr, Primary Care Area 8, Madrid, Spain. 38269 Puerta Bonia II Hlth Ctr, Primary Care Area 11, Madrid, Spain. 38270 Res Unit, Primary Care Area 11, Madrid, Spain. 38271 Minist Hlth & Consumer Affairs, Madrid, Spain. 38272 Informat Syst, Primary Care Area 11, Madrid, Spain. 38273 RP Martin-Fernandez, J, San Martin Valdeiglesias Hlth Ctr, Primary Care 38274 Area 8, Madrid, Spain. 38275 EM jmartinefe@hotmail.com 38276 tgomez.gapm11@salud.madrid.org 38277 mbeamud.gapm11@salud.madrid.org 38278 jcortes@msc.es 38279 aalberquilla.gapm11@salud.madrid.org 38280 CR AGUIRRE JG, 2001, ATEN PRIMARIA, V28, P608 38281 ALONSO M, 2002, ATEN PRIMARIA, V30, P483 38282 APPLETON K, 1998, BRIT J GEN PRACT, V48, P1059 38283 CARTES JA, 2003, ATEN PRIMARIA, V32, P288 38284 ENGSTROM M, 2006, J NURS MANAGE, V14, P318 38285 FRENCH F, 2005, J HLTH ORGAN MANAG, V19, P5 38286 GIRARD DE, 2006, MED EDUC, V40, P79 38287 GROL R, 1985, FAM PRACT, V2, P128 38288 JOHNSON JV, 1996, AM J PUBLIC HEALTH, V86, P324 38289 KARASEK R, 1989, INT J HEALTH SERV, V19, P481 38290 KLEINBAUM DG, 1988, APPL REGRESSION ANAL 38291 LEESE B, 1996, BRIT J GEN PRACT, V46, P95 38292 LICHTENSTEIN RL, 1984, MED CARE REV, V41, P139 38293 MARTIN J, 2004, GAC SANIT, V18, P129 38294 MECHANIC D, 2003, JAMA-J AM MED ASSOC, V290, P941 38295 MUNOZSECO E, 2006, ATEN PRIMARIA, V37, P209 38296 NEWMAN K, 2002, HLTH SERVICES MANAGE, V15, P93 38297 ORTEGA CG, 2004, MED CLIN-BARCELONA, V123, P61 38298 PENA CC, 2000, FMC S7, V7, P53 38299 SIBBALD B, 2003, BRIT MED J, V326, P22 38300 SIEGRIST J, 2000, SOC SCI MED, V51, P1283 38301 SOBREQUES J, 2003, ATEN PRIMARIA, V31, P227 38302 SUTHERLAND VJ, 1992, BRIT MED J, V304, P1545 38303 VANVEGCHEL N, 2005, SOC SCI MED, V60, P1117 38304 VERHAEGHE R, 2006, J ADV NURS, V56, P646 38305 WEICK KE, 1999, ANNU REV PSYCHOL, V50, P361 38306 WHITCOMB ME, 2004, NEW ENGL J MED, V351, P710 38307 WORDSWORTH S, 2004, BRIT J GEN PRACT, V54, P740 38308 NR 28 38309 TC 0 38310 PU BIOMED CENTRAL LTD 38311 PI LONDON 38312 PA MIDDLESEX HOUSE, 34-42 CLEVELAND ST, LONDON W1T 4LB, ENGLAND 38313 SN 1472-6963 38314 J9 BMC HEALTH SERV RES 38315 JI BMC Health Serv. Res. 38316 PD JUL 4 38317 PY 2007 38318 VL 7 38319 AR 101 38320 DI ARTN 101 38321 PG 9 38322 SC Health Care Sciences & Services 38323 GA 193YE 38324 UT ISI:000248310300001 38325 ER 38326 38327 PT J 38328 AU Buchanan, JB 38329 Gutierrez, RJ 38330 Anthony, RG 38331 Cullinan, T 38332 Diller, LV 38333 Forsman, ED 38334 Franklin, AB 38335 AF Buchanan, Joseph B. 38336 Gutierrez, R. J. 38337 Anthony, Robert G. 38338 Cullinan, Tim 38339 Diller, Lowell V. 38340 Forsman, Eric D. 38341 Franklin, Alan B. 38342 TI A synopsis of suggested approaches to address potential competitive 38343 interactions between Barred Owls (Strix varia) and Spotted Owls 38344 (S-occidentalis) 38345 SO BIOLOGICAL INVASIONS 38346 LA English 38347 DT Article 38348 DE Barred Owl; review of potential approaches to respond to Barred Owl 38349 invasion; Spotted Owl; Strix occidentalis; Strix varia 38350 ID DEMOGRAPHIC PERFORMANCE; COWBIRD PARASITISM; REMOVAL EXPERIMENT; 38351 FEEDING EXPERIMENT; SUPPLEMENTAL FOOD; NORTHERN GOSHAWKS; ECOLOGICAL 38352 TRAPS; BRITISH-COLUMBIA; EGG REMOVAL; POPULATION 38353 AB The conservation of Spotted Owl (Strix occidentalis) populations has 38354 been one of the most controversial and visible issues in United States 38355 conservation history. Coincident with declines in Spotted Owl 38356 populations over the last three decades has been the invasion of Barred 38357 Owls (Strix varia) throughout the range of the Northern Spotted Owl (S. 38358 o. caurina) and into the range of the California Spotted Owl (S. o. 38359 occidentalis). This invasion has confused the reasons behind recent 38360 Spotted Owl declines because anecdotal and correlative information 38361 strongly suggests that Barred Owls are a new factor influencing the 38362 declines. There is great uncertainty about all aspects of the invasion, 38363 and this has sparked discussion about appropriate management and 38364 research responses regarding the effects of this invasion on Spotted 38365 Owls. We present a set of possible responses to address the issue, and 38366 we discuss the relative merits of these with regard to their efficacy 38367 given the current state of knowledge. We recommend that research 38368 specifically aimed at learning more about the interspecific 38369 relationships of these two owls throughout the range of sympatry should 38370 begin immediately. Approaches that seem unlikely to be useful in the 38371 short-term either because they do not facilitate knowledge acquisition, 38372 are relatively costly, or would be technically less feasible, should 38373 not be considered viable at this time. We believe the consequences of 38374 the invasion are potentially dire for the Spotted Owl and that research 38375 and management actions, including the use of adaptive management, are 38376 required to inform the near- and long-term decision-making process for 38377 conservation of Spotted Owls. 38378 C1 Washington Dept Fish & Wildlife, Olympia, WA 98501 USA. 38379 Univ Minnesota, Dept Fisheries Wildlife & Conservat Biol, St Paul, MN 55108 USA. 38380 Oregon State Univ, Dept Fisheries & Wildlife, Corvallis, OR 97331 USA. 38381 Audubon Washington, Olympia, WA 98382 USA. 38382 RP Buchanan, JB, Washington Dept Fish & Wildlife, 600 Capitol Way N, 38383 Olympia, WA 98501 USA. 38384 EM buchajbb@dfw.wa.gov 38385 CR *US DEP INT, 1990, FED REGISTER, V55, P26114 38386 *US DEP INT, 1992, REC PLAN N SPOTT OWL 38387 *US DEP INT, 1993, FED REGISTER, V58, P14248 38388 ABRAMS PA, 2001, OIKOS, V94, P209 38389 ADAMS ES, 2001, ANNU REV ECOL SYST, V32, P277 38390 AMAR A, 2004, J APPL ECOL, V41, P305 38391 ANDERSON DR, 1999, WILDLIFE SOC B, V27, P1050 38392 ANTHONY RG, 2006, WILDLIFE MONOGR AUG, P1 38393 BATTIN J, 2004, CONSERV BIOL, V18, P1482 38394 BLACKWELL BF, 2002, WILDLIFE SOC B, V30, P345 38395 BORN W, 2005, ECOL ECON, V55, P321 38396 BRETAGNOLLE V, 2004, BIOL CONSERV, V120, P19 38397 BROMLEY C, 2001, J WILDLIFE MANAGE, V65, P510 38398 BUCHANAN JB, 2005, WILDLIFE SOC B, V32, P1333 38399 CADE TJ, 2003, RETURN PEREGRINE FAL 38400 CHUTTER MJ, 2004, RECOVERY STRATEGY N 38401 COURCHAMP F, 2003, SCIENCE, V302, P1533 38402 COURTNEY SP, 2004, SCI EVALUATION STATU 38403 CROZIER ML, 2006, CONDOR, V108, P760 38404 CUTHILL I, 1991, ANIM BEHAV, V42, P1007 38405 DANTONIO C, 2001, CONSERVATION BIOL RE 38406 DEFAZIO JT, 1987, P ANN C SE ASS FISH, V41, P311 38407 DEWEY SR, 2001, AUK, V118, P352 38408 DIJKSTRA C, 1982, IBIS, V124, P210 38409 DUGGER KM, 2005, CONDOR, V107, P863 38410 EKERHOLM P, 2004, OIKOS, V106, P457 38411 FORSMAN ED, 1984, WILDLIFE MONOGR, V87, P1 38412 FRANKLIN AB, 2000, ECOL MONOGR, V70, P539 38413 FRANKLIN AB, 2004, ORNITHOLOGICAL MONOG, V54, P1 38414 GARSHELIS DL, 2000, RES TECHNIQUES ANIMA 38415 GJERDRUM C, 2004, AUK, V121, P463 38416 GREEN RE, 1991, BIRD POPULATION STUD 38417 GUTHERY FS, 2004, WILDLIFE SOC B, V32, P1248 38418 GUTIERREZ R, 2004, SCI EVALUATION STATU 38419 GUTIERREZ RJ, 1995, BIRDS N AM, V179 38420 GUTIERREZ RJ, 2006, INVASION BARRED OWLS 38421 HAMER TE, 2001, J RAPTOR RES, V35, P221 38422 HIPKISS T, 2002, J ANIM ECOL, V71, P693 38423 HOOD GM, 2000, J APPL ECOL, V37, P914 38424 HOWALD GR, 1999, ECOTOXICOLOGY, V8, P431 38425 ICKES SK, 1998, WILDLIFE SOC B, V26, P269 38426 JODICE PGR, 2002, CAN J ZOOL, V80, P214 38427 JOHNSON N, 2004, EC SOC AM ANN M ABST, V89, P252 38428 KELLY EG, 2003, CONDOR, V105, P45 38429 KENDALL WL, 2001, MODELING NATURAL RES 38430 KOKKO H, 2001, EVOL ECOL RES, V3, P537 38431 KORPIMAKI E, 1998, ECOLOGY, V79, P2448 38432 LODGE DM, 2003, CONSERV BIOL, V17, P31 38433 MACK RN, 2000, ECOL APPL, V10, P689 38434 MARTIN PR, 2001, ECOLOGY, V82, P189 38435 MAYFIELD HF, 1961, EVOLUTION, V15, P174 38436 MAZUR KM, 2000, BIRDS N AM, V508 38437 MEEK WR, 2003, BIOL CONSERV, V109, P271 38438 MERRILL JA, 2003, J WILDLIFE MANAGE, V67, P267 38439 MILLER LA, 2004, P VERTEBR PEST C, V21, P269 38440 MILLS EL, 1994, BIOSCIENCE, V44, P666 38441 NOGALES M, 2004, CONSERV BIOL, V18, P310 38442 NOON BR, 2006, CONSERV BIOL, V20, P288 38443 OLSON GS, 2004, J WILDLIFE MANAGE, V68, P1039 38444 OLSON GS, 2005, J WILDLIFE MANAGE, V69, P918 38445 OPPEL S, 2004, BIRD CONSERV INT, V14, P63 38446 ORIANS GH, 1986, ECOLOGY BIOL INVASIO 38447 PEARSON RR, 2003, J RAPTOR RES, V37, P265 38448 PULLIAM HR, 1988, AM NAT, V132, P652 38449 PULLIN AS, 2004, BIOL CONSERV, V119, P245 38450 REDPATH SA, 2004, CONSERV BIOL, V18, P350 38451 RETTIE WJ, 1999, CAN J ZOOL, V77, P1175 38452 ROTHSTEIN SI, 2003, STUD AVIAN BIOL, V26, P157 38453 ROTHSTEIN SI, 2005, ORNITHOLOGICAL MONOG, V57, P98 38454 RUESINK JL, 1995, BIOSCIENCE, V45, P465 38455 SCHARDT JD, 1997, STRANGERS PARADISE 38456 SCHLAEPFER MA, 2002, TRENDS ECOL EVOL, V17, P474 38457 SCHMIDT KA, 2001, ECOLOGY, V82, P2927 38458 SIGG DP, 2005, BIOL CONSERV, V123, P289 38459 SIMBERLOFF D, 1981, BIOTRIC CRISES ECOLO 38460 SIMBERLOFF D, 2000, NATURE HUMAN SOC QUE 38461 SIMBERLOFF D, 2003, BIOL INVASIONS, V5, P179 38462 SMITH JNM, 2003, AUK, V120, P772 38463 TAYLOR RH, 2000, RESTOR ECOL, V8, P151 38464 TOWNSEND CR, 2003, CONSERV BIOL, V17, P38 38465 TUYTTENS FAM, 1998, ANIM WELFARE, V7, P339 38466 VANZANT JL, 2003, BIOL CONSERV, V112, P405 38467 VERNER J, 1992, PSWGTR133 USDA FOR S 38468 WARD JM, 1996, AUK, V113, P200 38469 WIENS JA, 1989, ECOLOGY BIRD COMMUNI, V2 38470 WILLIAMS TD, 2003, AUK, V120, P481 38471 WILSON WH, 2001, WILSON BULL, V113, P65 38472 WOOD PB, 1993, J WILDLIFE MANAGE, V57, P1 38473 WOODROFFE R, 2003, ANIMAL BEHAV WILDLIF 38474 YODER CA, 2004, POULTRY SCI, V83, P234 38475 NR 90 38476 TC 0 38477 PU SPRINGER 38478 PI DORDRECHT 38479 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 38480 SN 1387-3547 38481 J9 BIOL INVASIONS 38482 JI Biol. Invasions 38483 PD AUG 38484 PY 2007 38485 VL 9 38486 IS 6 38487 BP 679 38488 EP 691 38489 PG 13 38490 SC Biodiversity Conservation; Ecology 38491 GA 201BA 38492 UT ISI:000248805300006 38493 ER 38494 38495 PT J 38496 AU Strange, N 38497 Theilade, I 38498 Thea, S 38499 Sloth, A 38500 Helles, F 38501 AF Strange, Niels 38502 Theilade, Ida 38503 Thea, So 38504 Sloth, Arvid 38505 Helles, Finn 38506 TI Integration of species persistence, costs and conflicts: An evaluation 38507 of tree conservation strategies in Cambodia 38508 SO BIOLOGICAL CONSERVATION 38509 LA English 38510 DT Article 38511 DE Cambodia; tree conservation; reserve selection; uncertainty; conflict 38512 assessment 38513 ID RESERVE SELECTION ALGORITHMS; NATURAL-RESOURCE MANAGEMENT; CAPE 38514 FLORISTIC REGION; NEW-SOUTH-WALES; SITE-SELECTION; BIODIVERSITY 38515 HOTSPOTS; PROTECTED AREAS; REAL-WORLD; PRIORITIES; NETWORKS 38516 AB Cambodia forms part of the Indo-Burma hotspot. Its extent of 38517 biodiversity, however, is subject to considerable uncertainty, as there 38518 has been little systematic collection of flora and fauna. During the 38519 Khmer Rouge regime institutions were banned, academics were prosecuted 38520 and written documentation systematically destroyed. Compared with 38521 neighbouring countries Cambodia has a low population density and 38522 relatively large natural areas that are still intact. However, 38523 deforestation is expanding rapidly and a significant but un-estimated 38524 area of forest has been degraded by development of agro-industries, 38525 encroachment, illegal logging, over-harvesting and forest fire as well 38526 as the use of chemicals during war. The purpose of the paper is to: (i) 38527 apply reserve selection methods to design more robust conservation 38528 networks when knowledge of species occurrence is incomplete and habitat 38529 is threatened, and (ii) evaluate the usefulness of systematic 38530 conservation. planning in a developing country where data are limited 38531 and institutions for implementation are weak. This study investigates 38532 the performance of four non-probabilistic strategies: (i) a so-called 38533 'rule of thumb', (ii) hotspot, (iii) minimum cost representation, and 38534 (iv) maximum coverage; and one probabilistic design strategy, i.e. 38535 maximum expected coverage. The maximum expected coverage approach is 38536 between 15% and 24% more efficient than the non-probabilistic 38537 strategies. Finally, the relevance of such tools to real-world 38538 conservation planning in Cambodia is investigated. By incorporating 38539 experts in the generation of data, running the models and setting up 38540 premises, they acknowledge that it is possible to contribute to more 38541 systematic conservation planning in developing countries. (C) 2007 38542 Elsevier Ltd. All rights reserved. 38543 C1 Univ Copenhagen, Fac Life Sci, Danish Ctr Forest Landscape & Planning, Div Econ Polit & Management Planning, DK-1958 Frederiksberg, Denmark. 38544 Forestry Adm, Forest & Wildlife Sci Res Inst, Phnom Penh, Cambodia. 38545 Univ Copenhagen, Fac Life Sci, Danish Ctr Forest Landscape & Planning, Coll Forestry, DK-3480 Fredensborg, Denmark. 38546 RP Strange, N, Univ Copenhagen, Fac Life Sci, Danish Ctr Forest Landscape 38547 & Planning, Div Econ Polit & Management Planning, Rolighedsvej 23, 38548 DK-1958 Frederiksberg, Denmark. 38549 EM nst@life.ku.dk 38550 idat@life.ku.dk 38551 ctsp@online.com.kh 38552 arsl@life.ku.dk 38553 fh@life.ku.dk 38554 CR *DEP INT DEV, 1995, GUID NOD STAK ANAL A 38555 *FOR ADM CAMB CAMB, 2003, FOR GEN CONS STR 38556 *FOR ADM CAMB CAMB, 2004, CAMO TREE SPEC 38557 *FOR ADM CAMB, 2005, INV DAT PERM SAMP UN 38558 *FOR ADM CAMB, 2006, INV DAT PERM SAMP PL 38559 *INT TROP TIMB ORG, 2006, TROP FOR UPD, V1, P26 38560 *INT UN CONS NAT N, 2006, IUCN RED LIST THREAT 38561 *ROYAL GOV CAMB, 2002, CAMB NAT BIOD STRAT 38562 *ROYAL GOV CAMB, 2004, IND FOR SECT REV 38563 *SAV COMB WILDL, 2006, ATL CAMB NAT POV ENV 38564 ARTHUR JL, 2004, ECOL APPL, V14, P1936 38565 BALL IR, 2000, MARXAN V 1 8 2 MARIN 38566 BALMFORD A, 2001, SCIENCE, V291, P2616 38567 BEDWARD M, 1992, BIOL CONSERV, V62, P115 38568 CABEZA M, 2001, TRENDS ECOL EVOL, V16, P242 38569 CABEZA M, 2003, CONSERV BIOL, V17, P1402 38570 CABEZA M, 2004, J APPL ECOL, V41, P252 38571 CAMM JD, 2002, OPER RES, V50, P946 38572 CARROLL C, 1993, INT REV STRATEGIC MA, V4, P3 38573 CHECKLAND PB, 1981, SYSTEMS THINKING SYS 38574 CHECKLAND PB, 1999, SYSTEMS THINKING SYS 38575 COOKE B, 2002, PARTICIPATION NEW TY, P1 38576 COSTELLO C, 2004, RESOUR ENERGY ECON, V26, P157 38577 COWLING RM, 2003, BIOL CONSERV, V112, P147 38578 COWLING RM, 2003, BIOL CONSERV, V112, P191 38579 CSUTI B, 1997, BIOL CONSERV, V80, P83 38580 DAVIS R, 1984, MUANG METAPHYSICS ST 38581 DAY DL, 1987, MANAGE SCI, V33, P1534 38582 DINERSTEIN E, 2000, WORKBOOK CONDUCTIN 1 38583 DYE TR, 2002, UNDERSTANDING PUBLIC 38584 ELLEN R, 1986, ANTHR TODAY, V2, P8 38585 GUJIT I, 1998, MYTH COMMUNITY GENDE 38586 HAMALAINEN R, 2001, GROUP DECIS NEGOT, V10, P331 38587 HANNAH L, 1998, ENVIRON CONSERV, V25, P30 38588 HJORTSO CN, 2005, AGR HUM VALUES, V22, P149 38589 ISAGER L, 2001, FOREST CULTURE CULTU 38590 KASANEN E, 2000, EUR J OPER RES, V120, P496 38591 KEENEY R, 1976, DECISION MULTIPLE OB 38592 KIERNAN B, 2002, POL POT REGIME RACE 38593 KORTEN D, 1984, PEOPLE CTR DEV 38594 KRESS WJ, 1998, BIODIVERS CONSERV, V7, P1577 38595 LEACH M, 1999, WORLD DEV, V27, P225 38596 LOMBARD AT, 1997, CONSERV BIOL, V11, P1101 38597 LOMBARD AT, 1999, PLANT ECOL, V142, P35 38598 MADDOCK AH, 2000, BIODIVERS CONSERV, V9, P1153 38599 MAJONE G, 1989, EVIDENCE ARGUMENT PE 38600 MARGULES CR, 1988, BIOL CONSERV, V43, P63 38601 MASTER L, 1995, BIODIVERSITY RES CON 38602 MCDONALD JA, 2004, ECOLOGICAL SURVEY PR 38603 MEIR E, 2002, DYNAMIC CONSERVATION 38604 MEIR E, 2004, ECOL LETT, V7, P615 38605 MILTON K, 1993, MONOGRAPH ASA, V32, P1 38606 MILTON K, 1996, ENVIRONMENTALISM CUL 38607 MITTERMEIER RA, 1998, CONSERV BIOL, V12, P516 38608 MOILANEN A, 2006, BIOL CONSERV, V129, P427 38609 MYERS N, 1988, ENVIRONMENTALIST, V8, P187 38610 MYERS N, 2000, NATURE, V403, P853 38611 NICHOLLS AO, 1993, BIOL CONSERV, V64, P165 38612 NICHOLSON E, 2006, ECOL LETT, V9, P1049 38613 NUTT PC, 1999, ACAD MANAGEMENT EXEC, V13, P75 38614 POLASKY S, 2000, BIOL CONSERV, V94, P1 38615 POLASKY S, 2005, ECOL APPL, V15, P1387 38616 POSSINGHAM H, 2000, QUANTITATIVE METHODS, P291 38617 PRENDERGAST JR, 1993, NATURE, V365, P335 38618 PRENDERGAST JR, 1999, CONSERV BIOL, V13, P484 38619 PRESSEY RL, 1998, BIOL CONSERV, V85, P305 38620 PRESSEY RL, 2001, CONSERV BIOL, V15, P275 38621 PRESSEY RL, 2002, BIOL CONSERV, V106, P57 38622 ROBINSON JG, 2006, CONSERV BIOL, V20, P658 38623 STOTT P, 1991, THAI CONSTRUCTIONS K, P142 38624 STRANGE N, 2006, BIOL CONSERV, V128, P455 38625 STRANGE N, 2006, BIOL CONSERV, V131, P33 38626 TENHUMBERG B, 2004, CONSERV BIOL, V18, P1304 38627 WESTPHAL MI, 2003, ECOL APPL, V13, P543 38628 WILKIE DS, 2001, BIODIVERS CONSERV, V10, P691 38629 WILLIAMS PH, 2003, BIODIVERS CONSERV, V12, P1297 38630 WILSON KA, 2006, NATURE, V440, P337 38631 ZELENY M, 1982, MULTIPLE CRITERIA DE 38632 NR 78 38633 TC 0 38634 PU ELSEVIER SCI LTD 38635 PI OXFORD 38636 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND 38637 SN 0006-3207 38638 J9 BIOL CONSERV 38639 JI Biol. Conserv. 38640 PD JUN 38641 PY 2007 38642 VL 137 38643 IS 2 38644 BP 223 38645 EP 236 38646 PG 14 38647 SC Biodiversity Conservation; Ecology; Environmental Sciences 38648 GA 189BE 38649 UT ISI:000247962600006 38650 ER 38651 38652 PT J 38653 AU Emerson, MV 38654 Lauer, AK 38655 AF Emerson, M. Vaughn 38656 Lauer, Andreas K. 38657 TI Emerging therapies for the treatment of neovascular age-related macular 38658 degeneration and diabetic macular edema 38659 SO BIODRUGS 38660 LA English 38661 DT Article 38662 ID ENDOTHELIAL GROWTH-FACTOR; INTRAVITREAL BEVACIZUMAB AVASTIN; RANDOMIZED 38663 CLINICAL-TRIAL; EPITHELIUM-DERIVED FACTOR; OPTICAL COHERENCE 38664 TOMOGRAPHY; ANTI-VEGF ANTIBODY; PHASE-I TRIAL; CHOROIDAL 38665 NEOVASCULARIZATION; LASER PHOTOCOAGULATION; PHOTODYNAMIC THERAPY 38666 AB Diabetic macular edema (DME) and choroidal neovascularization (CNV) 38667 associated with age-related macular degeneration (AMD) are the leading 38668 causes of vision loss in the industrialized world. The mainstay of 38669 treatment for both conditions has been thermal laser photocoagulation, 38670 while there have been recent advances in the treatment of CNV using 38671 photodynamic therapy with verteporfin. While both of these treatments 38672 have prevented further vision loss in a subset of patients, vision 38673 improvement is rare. Anti-vascular endothelial growth factor (VEGF)-A 38674 therapy has revolutionized the treatment of both conditions. 38675 Pegaptanib, an anti-VEGF aptamer, prevents vision loss in CNV, although 38676 the performance is similar to that of photodynamic therapy. 38677 Ranibizumab, an antibody fragment, and bevacizumab, a full-length 38678 humanized monoclonal antibody against VEGF, have both shown promising 38679 results, with improvements in visual acuity in the treatment of both 38680 diseases. VEGF trap, a modified soluble VEGF receptor analog, binds 38681 VEGF more tightly than all other anti-VEGF therapies, and has also 38682 shown promising results in early trials. Other treatment strategies to 38683 decrease the effect of VEGF have used small interfering RNA to inhibit 38684 VEGF production and VEGF receptor production. Corticosteroids have 38685 shown efficacy in controlled trials, including anacortave acetate in 38686 the treatment and prevention of CNV, and intravitreal triamcinolone 38687 acetonide and the fluocinolone acetonide implant in the treatment of 38688 DME. Receptor tyrosine kinase inhibitors, such as vatalanib, inhibit 38689 downstream effects of VEGF, and have, been effective in the treatment 38690 of CNV in early studies. Squalamine lactate inhibits plasma membrane 38691 ion channels with downstream effects on VEGF, and has shown promising 38692 results with systemic administration. Initial results are also 38693 encouraging for other growth factors, including pigment 38694 epithelium-derived factor administered via an adenoviral vector. 38695 Ruboxistaurin, which decreases protein kinase C activity, has shown 38696 positive results in the prevention of diabetic retinopathy progression, 38697 and the resolution of DME. Combination therapy has been investigated, 38698 and may prove to be quite effective in the management of both DME and 38699 AMD-associated CNV, although ongoing and future studies will be crucial 38700 to treatment optimization for each condition. 38701 C1 Oregon Hlth & Sci Univ, Casey Eye Inst, Portland, OR 97239 USA. 38702 RP Lauer, AK, Oregon Hlth & Sci Univ, Casey Eye Inst, 3375 SW Terwilliger 38703 Blvd, Portland, OR 97239 USA. 38704 CR EVALUATION VITRECTOM 38705 INTRAVITREAL RANIBIZ 38706 PHASE 2 EVALUATION A 38707 RANDOMIZED TRIAL COM 38708 *EARL TREATM DIAB, 1985, ARCH OPHTHALMOL-CHIC, V103, P1796 38709 *EYE DIS PREV RES, 2004, ARCH OPHTHALMOL-CHIC, V12, P564 38710 *MAC PHOT STUD GRO, 1982, ARCH OPHTHALMOL-CHIC, V100, P912 38711 *MAC PHOT STUD GRO, 1986, ARCH OPHTHALMOL-CHIC, V104, P694 38712 *MAC PHOT STUD GRO, 1991, ARCH OPHTHALMOL-CHIC, V109, P1220 38713 *MAC PHOT STUD GRO, 1993, ARCH OPHTHALMOL-CHIC, V111, P1200 38714 *MAC PHOT STUD GRO, 1994, ARCH OPHTHALMOL-CHIC, V112, P500 38715 *WHO, MAGN CAUS VIS IMP 38716 ABRAHAM P, 2006, OPHTHALMOLOGY, V113, P2221 38717 ADAMIS AP, 1994, AM J OPHTHALMOL, V118, P445 38718 ADAMIS AP, 2005, RETINA-J RET VIT DIS, V25, P111 38719 ADAMS AP, 2006, AM AC OPHTH ANN M SU 38720 AGUSTIN AJ, 2006, AM AC OPTH ANN M SUB 38721 AIELLO LP, 1994, NEW ENGL J MED, V331, P1480 38722 AIELLO LP, 2005, DIABETES, V54, P2188 38723 AMBATI J, 2003, SURV OPHTHALMOL, V48, P257 38724 AREVALO JF, 2007, OPHTHALMOLOGY, V114, P743 38725 AVERY RL, 2006, OPHTHALMOLOGY, V113, P363 38726 BAKRI SJ, 2006, RETINA-J RET VIT DIS, V26, P519 38727 BASHSHUR ZF, 2006, AM J OPHTHALMOL, V142, P141 38728 BLINDER KJ, 2003, AM J OPHTHALMOL, V136, P407 38729 BLUMENKRANZ MS, 2001, ARCH OPHTHALMOL-CHIC, V119, P198 38730 BROWN DM, 2006, NEW ENGL J MED, V355, P1432 38731 BROWN JC, 2004, ARCH OPHTHALMOL-CHIC, V122, P330 38732 BRUCKER AJ, 2006, RET SOC CLUB JUL GON 38733 BULLOCK WH, 2002, CURR TOP MED CHEM, V2, P915 38734 CAMPOCHIARO PA, 2006, HUM GENE THER, V17, P67 38735 CARRION ME, 2005, INVEST OPHTH VIS SCI, P46 38736 CHEN Y, 1999, J MOL BIOL, V293, P865 38737 CHEW E, 2007, OPHTHALMOLOGY, V114, P1190 38738 CHUN DW, 2006, OPHTHALMOLOGY, V113, P1706 38739 CIULLA TA, 2003, RETINA-J RET VIT DIS, V23, P808 38740 CONTI SM, 2006, CURR OPIN OPHTHALMOL, V17, P235 38741 CUNNINGHAM ET, 2005, OPHTHALMOLOGY, V112, P1747 38742 EDELMAN JL, 2005, EXP EYE RES, V80, P249 38743 EDWARDS AO, 2005, SCIENCE, V308, P421 38744 FERRARA N, 2004, ENDOCR REV, V25, P581 38745 FERRARA N, 2004, NAT REV DRUG DISCOV, V3, P391 38746 FERRIS FL, 1982, AM J OPHTHALMOL, V94, P91 38747 FONG DS, 2007, ARCH OPHTHALMOL-CHIC, V125, P469 38748 FRANCIS PJ, 2003, OPHTHALMOL CLIN N AM, V16, P575 38749 FRIEDMAN SM, 2006, AM AC OPHTH ANN M SU 38750 FUNG AE, 2006, BRIT J OPHTHALMOL, V90, P1344 38751 GILLIES MC, 2006, OPHTHALMOLOGY, V113, P1533 38752 GRAGOUDAS ES, 2004, NEW ENGL J MED, V351, P1805 38753 GRANT MB, 2000, DIABETES CARE, V23, P504 38754 GREEN WR, 1993, OPHTHALMOLOGY, V100, P1519 38755 HAMILTON MM, 2006, INVEST OPHTH VIS SCI, V47, P299 38756 HARITOGLOU C, 2006, RETINA-J RET VIT DIS, V26, P999 38757 HEIER JS, 2006, ARCH OPHTHALMOL-CHIC, V124, P1532 38758 HEIER JS, 2006, OPHTHALMOLOGY, V113, P633 38759 HURWITZ H, 2004, NEW ENGL J MED, V350, P2335 38760 IP MS, 2006, RET SOC CLUB JUL GON 38761 JABS DA, 2006, RET SOC CLUB JUL GON 38762 JONAS JB, 2003, ARCH OPHTHALMOL-CHIC, V121, P57 38763 JOONDEPH BC, 2006, RET SOC CLUB JUL GON 38764 KAISER K, 2006, AM AC OPHTH ANN M SU 38765 KAISER PK, 2001, AM J OPHTHALMOL, V131, P44 38766 KEMPEN JH, 2004, ARCH OPHTHALMOL-CHIC, V122, P552 38767 KEYT BA, 1996, J BIOL CHEM, V271, P7788 38768 KING RC, 1963, BR J OPHTHALMOL, V47, P666 38769 KLEIN R, 1995, OPHTHALMOLOGY, V102, P7 38770 KLEIN R, 2006, ARCH OPHTHALMOL-CHIC, V113, P373 38771 LANZETTA P, 2006, RET SOC CLUB JUL GON 38772 LEWIS H, 1990, OPHTHALMOLOGY, V97, P503 38773 LYONS TJ, 2004, INVEST OPHTH VIS SCI, V45, P910 38774 MAIER P, 2005, GRAEF ARCH CLIN EXP, V243, P593 38775 MARTIDIS A, 2002, OPHTHALMOLOGY, V109, P920 38776 MASSIN P, 2003, AM J OPHTHALMOL, V135, P169 38777 MICHELS S, 2006, INVEST OPHTH VIS SCI, V47, P371 38778 MORI K, 2002, INVEST OPHTH VIS SCI, V43, P2428 38779 MOSHFEGHI AA, 2006, OPHTHALMOLOGY, V113, P2002 38780 NGUYEN QD, 2006, OPHTHALMOLOGY, V113, P1522 38781 NGUYEN QD, 2006, RET SOC CLUB JUL GON 38782 POULSEN JE, 1953, DIABETES, V2, P7 38783 PRESTA LG, 1997, CANCER RES, V57, P4593 38784 RAKIC JM, 2003, INVEST OPHTH VIS SCI, V44, P3186 38785 RICH RM, 2006, RETINA-J RET VIT DIS, V26, P495 38786 ROSENFELD PJ, 2006, AM SOC RET SPEC EUR 38787 ROSENFELD PJ, 2006, NEW ENGL J MED, V355, P1419 38788 SCHMIDTERFURTH U, 2003, INVEST OPHTH VIS SCI, V44, P4473 38789 SCHMIDTERFURTH U, 2006, AM AC OPHTH ANN M SU 38790 SHAH SM, 2006, RET SOC CLUB JUL GON 38791 SHAMOON H, 1993, NEW ENGL J MED, V329, P977 38792 SHEN J, 2006, GENE THER, V13, P225 38793 SIEVING PA, 2006, P NATL ACAD SCI USA, V103, P3896 38794 SIGURDSSON R, 1980, BR J OPHTHALMOL, V64, P392 38795 SLAKTER JS, 2006, AM AC OPTH ANN M SUB 38796 SLAKTER JS, 2006, OPHTHALMOLOGY, V113, P3 38797 SMITH LEH, 1997, SCIENCE, V276, P1706 38798 SPAIDE RF, 2006, RETINA-J RET VIT DIS, V26, P383 38799 SPANDAU UHM, 2005, BRIT J OPHTHALMOL, V89, P999 38800 STEARNE MR, 1998, BRIT MED J, V317, P703 38801 STEELE FR, 1993, P NATL ACAD SCI USA, V90, P1526 38802 TAO W, 2002, INVEST OPHTH VIS SCI, V43, P3292 38803 WANG YS, 2002, GRAEF ARCH CLIN EXP, V240, P42 38804 NR 100 38805 TC 0 38806 PU ADIS INTERNATIONAL LTD 38807 PI AUCKLAND 38808 PA 41 CENTORIAN DR, PRIVATE BAG 65901, MAIRANGI BAY, AUCKLAND 1311, NEW 38809 ZEALAND 38810 SN 1173-8804 38811 J9 BIODRUGS 38812 JI Biodrugs 38813 PY 2007 38814 VL 21 38815 IS 4 38816 BP 245 38817 EP 257 38818 PG 13 38819 SC Oncology; Immunology; Pharmacology & Pharmacy 38820 GA 196WR 38821 UT ISI:000248514200005 38822 ER 38823 38824 PT J 38825 AU Sayer, J 38826 Campbell, B 38827 Petheram, L 38828 Aldrich, M 38829 Perez, MR 38830 Endamana, D 38831 Dongmo, ZLN 38832 Defo, L 38833 Mariki, S 38834 Doggart, N 38835 Burgess, N 38836 AF Sayer, Jeffrey 38837 Campbell, Bruce 38838 Petheram, Lisa 38839 Aldrich, Mark 38840 Perez, Manuel Ruiz 38841 Endamana, Dominque 38842 Dongmo, Zacharie-L Nzooh 38843 Defo, Louis 38844 Mariki, Stephen 38845 Doggart, Nike 38846 Burgess, Neil 38847 TI Assessing environment and development outcomes in conservation 38848 landscapes 38849 SO BIODIVERSITY AND CONSERVATION 38850 LA English 38851 DT Article 38852 DE adaptive management; conservation; evaluation; indicators; landscape 38853 performance; livelihoods; monitoring Tools 38854 ID SUSTAINABILITY; INDICATORS; MANAGEMENT; FRAMEWORK 38855 AB An approach to assessing the environmental outcomes and changes in 38856 peoples' livelihoods resulting from landscape-scale conservation 38857 interventions was developed for three locations in Africa. Simple sets 38858 of performance indicators were developed through participatory 38859 processes that included a variety of stakeholders. The selection of 38860 indicators was designed to reflect wider landscape processes, 38861 conservation objectives and as local peoples' preferred scenarios. This 38862 framework, combined with the use of social learning techniques, helped 38863 stakeholders develop greater understandings of landscape system 38864 dynamics and the linkages between livelihood and conservation 38865 objectives. Large scale conservation and development interventions 38866 should use these approaches to explore linkages and improve shared 38867 understanding of tradeoffs and synergies between livelihood and 38868 conservation initiatives. Such approaches provide the basis for 38869 negotiating and measuring the outcomes of conservation initiatives and 38870 for adapting these to changing perspectives and circumstances. 38871 C1 Chales Darwin Univ, Sch Environm Res, Darwin, NT, Australia. 38872 Chales Darwin Univ, Ctr Int Forestry Res, Darwin, NT, Australia. 38873 Charles Darwin Univ, Sch Environm Res, Darwin, NT 0909, Australia. 38874 Univ Autonoma Madrid, Dept Ecol, Fac Ciencias, Madrid, Spain. 38875 WWF No Savannah Project, Yaounde, Cameroon. 38876 WWF Cameroon Country Programme Off, Jengi SE Forest Project, Yaounde, Cameroon. 38877 WWF SE Cameroon Forest Programme, Yaounde, Cameroon. 38878 WWF Tanzania Programme Off, Dar Es Salaam, Tanzania. 38879 Tanzania Forest Conservat Grp, Dar Es Salaam, Tanzania. 38880 WWF, Conservat Sci Program, Washington, DC USA. 38881 RP Campbell, B, Chales Darwin Univ, Sch Environm Res, Darwin, NT, 38882 Australia. 38883 EM Bruce.campbell@cdu.edu.au 38884 Lisa.petheram@cdu.edu.au 38885 CR *HIGH PERF SYST IN, 2003, STELLA 38886 *OECD, 1993, OECD CORE SET IND EN 38887 *OECD, 1997, ENV IND AGR 38888 *UNCSD, 1996, IND SUST DEV FRAM ME 38889 BEBBINGTON A, 1999, WORLD DEV, V27, P2021 38890 BELL S, 1999, SUSTAINABILITY INDIC 38891 BELL S, 2001, LOCAL ENV, V6, P291 38892 BELL S, 2003, MEASURING SUSTAINABI 38893 BOSSEL H, 2001, CONSERV ECOL, V5, P12 38894 CAMPBELL B, 2001, CONSERV ECOL, V5, P22 38895 CARNEY D, 1998, SUSTAINABLE RURAL LI 38896 CARNEY D, 1999, LIVELIHOOD COMPARED 38897 CARRUTHERS G, 2003, AUST J EXP AGR, V43, P307 38898 CHECKLAND P, 1990, SOFT SYSTEMS METHODO 38899 FARINA A, 2006, PRINCIPLES METHODS L 38900 FREEBAIRN DM, 2003, AUST J EXP AGR, V43, P223 38901 JESINGHAUS J, 2000, WORLD EC FORUMS ENV 38902 METER K, 1999, NEIGHBOURHOOD SUSTAI 38903 REED MS, 2003, P INT C SUST IND 6 8 38904 SCOONES I, 1998, 7I IDS 38905 SMYTH AJ, 1995, CAN J SOIL SCI, V75, P401 38906 STEM C, 2005, CONSERV BIOL, V19, P295 38907 WELLS MP, 2004, GETTING BIODIVERSITY 38908 NR 23 38909 TC 0 38910 PU SPRINGER 38911 PI DORDRECHT 38912 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 38913 SN 0960-3115 38914 J9 BIODIVERS CONSERV 38915 JI Biodivers. Conserv. 38916 PD AUG 38917 PY 2007 38918 VL 16 38919 IS 9 38920 BP 2677 38921 EP 2694 38922 PG 18 38923 SC Biodiversity Conservation; Ecology; Environmental Sciences 38924 GA 189DJ 38925 UT ISI:000247969300015 38926 ER 38927 38928 PT J 38929 AU Mussaffi, H 38930 Omer, R 38931 Prais, D 38932 Mei-Zahav, M 38933 Weiss-Kasirer, T 38934 Botzer, Z 38935 Blau, H 38936 AF Mussaffi, H. 38937 Omer, R. 38938 Prais, D. 38939 Mei-Zahav, M. 38940 Weiss-Kasirer, T. 38941 Botzer, Z. 38942 Blau, H. 38943 TI Computerised paediatric asthma quality of life questionnaires in 38944 routine care 38945 SO ARCHIVES OF DISEASE IN CHILDHOOD 38946 LA English 38947 DT Article 38948 ID CHILDHOOD ASTHMA; CHILDREN; PARENTS; PERCEPTIONS; CAREGIVERS; HEALTH 38949 AB Background: Asthma quality of life questionnaires are not readily 38950 incorporated into clinical care. We therefore computerised the 38951 Paediatric Asthma Quality of Life Questionnaire (standardised) 38952 (PAQLQ(S)) and the Paediatric Asthma Caregivers Quality of Life 38953 Questionnaire (PACQLQ), with a colour-coded printed graphical report. 38954 Objectives: To (a) assess the feasibility of the electronic 38955 questionnaires in clinical care and (b) compare the child's PAQLQ 38956 scores with the parent's score, physician's clinical score and 38957 spirometry. 38958 Methods: Children with asthma were given a clinical severity score of 38959 1-4 (increasing severity) and then completed the PAQLQ(S) 38960 electronically (scores 1-7 for increasing quality of life in emotional, 38961 symptoms and activity limitation domains) followed by spirometry and 38962 physician review. Parents completed the PACQLQ. Inclusion criteria 38963 required fluent Hebrew and reliable performance of spirometry. Children 38964 with additional chronic diseases were excluded. //Results: 147 children 38965 with asthma aged 7-17 years completed PAQLQs and 115 accompanying 38966 parents completed PACQLQs, taking 8.3 (4.3-15) and 4.4 (1.5-12.7) min, 38967 respectively (mean (range)). Graphical reports enabled physicians to 38968 address quality of life during even brief visits. Children's (PAQLQ) 38969 and parents' (PACQLQ) total scores correlated (r = 0.61, p<0.001), 38970 although the children's median emotional score of 6.3 was higher than 38971 their parents' 5.7 (p<0.001), whereas median activity limitation score 38972 was lower than their parents': 5.0 and 6.8, respectively (p<0.001). No 38973 correlation was found with physician's clinical score or spirometry. 38974 Conclusions: Electronic PAQLQs are easy to use, providing additional 38975 insight to spirometry and physician's assessment, in routine asthma 38976 care. Future studies must assess impact on asthma management. 38977 C1 Schneider Childrens Med Ctr, Pulm Unit, IL-19202 Petah Tiqwa, Israel. 38978 Schneider Childrens Med Ctr, Dept Med Psychol, Petah Tiqwa, Israel. 38979 RP Blau, H, Schneider Childrens Med Ctr, Pulm Unit, 14 Kaplan St, IL-19202 38980 Petah Tiqwa, Israel. 38981 EM hblau@post.tau.ac.il 38982 CR *GINA, 2006, GLOB IN ASTHM GUID R 38983 BENDER BG, 1996, ANN ALLERG ASTHMA IM, V77, P438 38984 BUSHNELL DM, 2003, J ASTHMA, V40, P751 38985 CARO JJ, 2001, QUAL LIFE RES, V10, P683 38986 ERICKSON SR, 2002, J ASTHMA, V39, P107 38987 FIESE BH, 2005, J PEDIATR, V146, P171 38988 GUYATT GH, 1997, PEDIATRICS, V99, P165 38989 JANSE AJ, 2005, ARCH DIS CHILD, V90, P486 38990 JONES PW, 1995, EUR RESPIR J, V8, P885 38991 JUNIPER E, MEASUREMENT HLTH REL 38992 JUNIPER EF, 1996, QUAL LIFE RES, V5, P27 38993 JUNIPER EF, 1996, QUAL LIFE RES, V5, P35 38994 JUNIPER EF, 1999, CHEST, V115, P1265 38995 MANDHANE PJ, 2000, AM J RESP CRIT CARE, V161, A621 38996 OKELO SO, 2004, J PEDIATR, V145, P523 38997 REICHENBERG K, 2000, ACTA PAEDIATR, V89, P989 38998 REICHENBERG K, 2001, ACTA PAEDIATR, V90, P45 38999 RYDSTROM I, 2004, J PEDIAT NURS, V19, P85 39000 TAYLOR WR, 1992, PEDIATRICS, V90, P657 39001 WILLIAMS J, 2003, PEDIATR PULM, V35, P114 39002 NR 20 39003 TC 0 39004 PU B M J PUBLISHING GROUP 39005 PI LONDON 39006 PA BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND 39007 SN 0003-9888 39008 J9 ARCH DIS CHILD 39009 JI Arch. Dis. Child. 39010 PD AUG 39011 PY 2007 39012 VL 92 39013 IS 8 39014 BP 678 39015 EP 682 39016 PG 5 39017 SC Pediatrics 39018 GA 192PO 39019 UT ISI:000248214500007 39020 ER 39021 39022 PT J 39023 AU Zaman, QU 39024 Schumann, AW 39025 Hostler, HK 39026 AF Zaman, Q. U. 39027 Schumann, A. W. 39028 Hostler, H. K. 39029 TI Quantifying sources of error in ultrasonic measurements of citrus 39030 orchards 39031 SO APPLIED ENGINEERING IN AGRICULTURE 39032 LA English 39033 DT Article 39034 DE canopy volume; DGPS; real time sensing; sensors 39035 ID SENSED TREE SIZE; CANOPY VOLUME 39036 AB Ultrasonic sensors can be used to estimate tree canopy volume 39037 variability within orchards, which is useful for planning site-specific 39038 management practices and estimating crop yield. The objective of this 39039 study was to investigate the errors in tree canopy volume measured with 39040 a 10-transducer ultrasonic orchard measurement array and Trimble AgGPS 39041 132 DGPS. Sensitivity analysis was used to investigate the magnitude of 39042 individual errors in ultrasonically-sensed tree canopy volume 39043 measurement (epsilon (UCV)) caused by several factors including ground 39044 speed accuracy measured by DGPS, uncalibrated air temperature, 39045 ultrasonic transducers, and deviation in driving path from the 39046 centerline between two rows. The height error in the transducer array 39047 due to improper tire inflation and uneven ground was also estimated. 39048 Canopy volume of a selected tree measured with the ultrasonic system 39049 was used as the basis to simulate epsilon (UCV) caused by each error 39050 factor. One hundred data points were simulated within the selected 39051 range of each factor to calculate epsilon (UCV) and the ranges were 39052 determined on the basis of measured data and literature. The overall 39053 ranking of error sources affecting canopy volume were, from high to low 39054 1) DGPS ground speed (+/- 6.78%), 2) air temperature (+4.83% to -4.69% 39055 for the temperature range 5 degrees C to 45 degrees C), 3) ultrasonic 39056 transducer performance (+/- 2.29%), and 4) deviations in driving path 39057 (+/- 1.56%). The height error due to uneven ground and wheel tracks 39058 ranged from 0.025 to 0.12 m. These results could be used to control 39059 error in ultrasonically-sensed canopy volumes within orchards. 39060 C1 Univ Florida, CREC, Lake Alfred, FL 33850 USA. 39061 Nova Scotia Agr Coll, Dept Engn, Truro, NS B2N 5E3, Canada. 39062 RP Schumann, AW, Univ Florida, CREC, 700 Expt Stn Rd, Lake Alfred, FL 39063 33850 USA. 39064 EM schumaw@ufl.edu 39065 CR *DURA WAYL, 1998, SMART SPRAY OP MAN 39066 *TRIMB NAV LIM, 2000, AGGPS 124 132 OP MAN 39067 GILES DK, 1988, T ASAE, V31, P264 39068 LI B, 2002, 02021053 ASAE 39069 MOLTO E, 2001, J AGR ENG RES, V78, P35 39070 ROPER BE, 1988, 4768713, US 39071 SCHUMANN AW, 2005, COMPUT ELECTRON AGR, V47, P25 39072 SOLANELLES FS, 2002, ASPECTS APPL BIOL, V66, P139 39073 TUMBO SD, 2002, APPL ENG AGRIC, V18, P367 39074 ZAMAN QU, 2004, APPL ENG AGRIC, V20, P173 39075 ZAMAN QU, 2005, APPL ENG AGRIC, V21, P331 39076 ZAMAN QU, 2006, APPL ENG AGRIC, V22, P39 39077 NR 12 39078 TC 0 39079 PU AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS 39080 PI ST JOSEPH 39081 PA 2950 NILES RD, ST JOSEPH, MI 49085-9659 USA 39082 SN 0883-8542 39083 J9 APPL ENG AGRIC 39084 JI Appl. Eng. Agric. 39085 PD JUL 39086 PY 2007 39087 VL 23 39088 IS 4 39089 BP 449 39090 EP 453 39091 PG 5 39092 SC Agricultural Engineering 39093 GA 202UE 39094 UT ISI:000248928500007 39095 ER 39096 39097 PT J 39098 AU Dexter, F 39099 Willemsen-Dunlap, A 39100 Lee, JD 39101 AF Dexter, Franklin 39102 Willemsen-Dunlap, Ann 39103 Lee, John D. 39104 TI Operating room managerial decision-making on the day of surgery with 39105 and without computer recommendations and status displays 39106 SO ANESTHESIA AND ANALGESIA 39107 LA English 39108 DT Article 39109 ID TIME; ANESTHESIA; PERFORMANCE; EFFICIENCY; COORDINATION; UNCERTAINTY; 39110 AUTOMATION; MANAGEMENT; SYSTEM; SAFETY 39111 AB Background: There are three basic types of decision aids to facilitate 39112 operating room (OR) management decision-making on the day of surgery. 39113 Decision makers can rely on passive status displays (e.g., big screens 39114 or whiteboards), active status displays (e.g., text pager 39115 notification), and/or command displays (e.g., text recommendations 39116 about what to do). 39117 Methods: Anesthesiologists, OR nurses, and housekeepers were given nine 39118 simulated scenarios (vignettes) involving multiple ORs to study their 39119 decision-making. Participants were randomized to one of four groups, 39120 all with an updated paper OR schedule: with/without command display and 39121 with/without passive status display. 39122 Results: Participants making decisions without command displays 39123 performed no better than random chance in terms of increasing the 39124 predictability of work hours, reducing over-utilized OR time, and 39125 increasing OR efficiency. Status displays had no effect on these 39126 end-points, whereas command displays improved the quality of decisions. 39127 In the scenarios for which the command displays provided 39128 recommendations that adversely affected safety, participants 39129 appropriately ignored advice. 39130 Conclusions: Anesthesia providers and nursing staff made decisions that 39131 increased clinical work per unit time in each OR, even when doing so 39132 resulted in an increase in over-utilized OR time, higher staffing 39133 costs, unpredictable work hours, and/or mandatory overtime. 39134 Organizational culture and socialization during clinical training may 39135 be a cause. Command displays showed promise in mitigating this 39136 tendency. Additional investigations are in our companion paper. 39137 C1 Univ Iowa, Dept Anesthesia, Div Management Consulting, Iowa City, IA 52242 USA. 39138 Univ Iowa, Dept Hlth Management & Policy, Iowa City, IA USA. 39139 Univ Iowa, Dept Mech & Ind Engn, Iowa City, IA USA. 39140 RP Dexter, F, Univ Iowa, Dept Anesthesia, Div Management Consulting, Iowa 39141 City, IA 52242 USA. 39142 EM Franklin-Dexter@Ulowa.edu 39143 CR ABENSTEIN JP, 2003, ANESTH ANALG, V97, P196 39144 CARAYON P, 2006, ERGONOMICS, V49, P470 39145 DEDEYNE C, 2004, STUD HLTH TECHNOL IN, V110, P61 39146 DEXTER F, 2002, ANESTH ANALG, V94, P933 39147 DEXTER F, 2003, J CLIN ANESTH, V15, P206 39148 DEXTER F, 2004, ANESTHESIOLOGY, V101, P1444 39149 DEXTER F, 2005, ANESTH ANALG, V100, P1425 39150 DEXTER F, 2005, ANESTHESIOLOGY, V103, P1259 39151 DEXTER F, 2007, ANESTH ANALG, V105, P430 39152 DZINDOLET MT, 2001, MIL PSYCHOL, V13, P147 39153 DZINDOLET MT, 2002, HUM FACTORS, V44, P79 39154 EPSTEIN RH, 2002, ANESTH ANALG, V95, P1726 39155 ESPIN S, 2001, ASS OPERATING ROOM N, V74, P672 39156 ESPIN S, 2006, QUAL SAF HEALTH CARE, V15, P165 39157 LEE JD, 2004, HUM FACTORS, V46, P50 39158 LINGARD L, 2004, MED EDUC, V38, P691 39159 MCINTOSH C, 2006, ANESTH ANALG, V103, P1499 39160 METZGER U, 2005, HUM FACTORS, V47, P35 39161 MEYER MA, 2006, J SURG RES, V132, P153 39162 MOSS J, 2002, J AM MED INFORM AS S, V9, S70 39163 MOSS J, 2004, J NURS ADMIN, V34, P93 39164 OVERDYK FJ, 1998, ANESTH ANALG, V86, P896 39165 RILEY R, 2006, J CLIN NURS, V15, P546 39166 SARTER NB, 2001, HUM FACTORS, V43, P573 39167 SEAGULL FJ, 2004, IEEE T SYST MAN CY A, V34, P764 39168 SPANGLER WE, 2000, INT J HLTH TECHNOL M, V2, P15 39169 STJACQUES PJ, 2004, J CLIN ANESTH, V16, P523 39170 STRUM DP, 1999, ANESTHESIOLOGY, V90, P1176 39171 SULLIVAN EE, 2003, J PERIANESTH NURS, V18, P123 39172 SULLIVAN EE, 2005, J PERIANESTH NURS, V20, P438 39173 TESSLER MJ, 1997, CAN J ANAESTH, V44, P1036 39174 TOPP R, 1998, AORN J, V67, P852 39175 VIGODA MM, 2006, ANESTH ANALG, V103, P390 39176 VITEZ TS, 1998, J CLIN ANESTH, V10, P166 39177 WIEGMANN DA, 2001, THEORETICAL ISSUES E, V2, P352 39178 XIAO Y, 2005, ANESTH ANALG, V101, P823 39179 NR 36 39180 TC 1 39181 PU LIPPINCOTT WILLIAMS & WILKINS 39182 PI PHILADELPHIA 39183 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 39184 SN 0003-2999 39185 J9 ANESTH ANALG 39186 JI Anesth. Analg. 39187 PD AUG 39188 PY 2007 39189 VL 105 39190 IS 2 39191 BP 419 39192 EP 429 39193 PG 11 39194 SC Anesthesiology 39195 GA 194KN 39196 UT ISI:000248343400024 39197 ER 39198 39199 PT J 39200 AU Pandit, JJ 39201 Westbury, S 39202 Pandit, M 39203 AF Pandit, J. J. 39204 Westbury, S. 39205 Pandit, M. 39206 TI The concept of surgical operating list 'efficiency': a formula to 39207 describe the term 39208 SO ANAESTHESIA 39209 LA English 39210 DT Article 39211 ID SURGERY; MANAGEMENT; PRODUCTIVITY; CANCELLATION; SUITE; TIME 39212 AB While numerous reports have sought ways of improving the efficiency of 39213 surgical operating lists, none has defined 'efficiency'. We describe a 39214 formula that defines efficiency as incorporating three elements: 39215 maximising utilisation, minimising over-running and minimising 39216 cancellations on a list. We applied this formula to hypothetical (but 39217 realistic) scenarios, and our formula yielded plausible descriptions of 39218 these. We also applied the formula to 16 consecutive elective surgical 39219 lists from three gynaecology teams (two at a university hospital and 39220 one at a non-university hospital). Again, the formula gave useful 39221 insights into problems faced by the teams in improving their 39222 performance, and it also guided possible solutions. The formula 39223 confirmed that a team that schedules cases according to the predicted 39224 durations of the operations listed (i.e. the non-university hospital 39225 team) suffered fewer cancellations (median 5% vs 8% and 13%) and fewer 39226 list over-runs (6% vs 38% and 50%), and performed considerably more 39227 efficiently (90% vs 79% and 72%; p = 0.038) than teams that did not do 39228 so (i.e. those from the university hospital). We suggest that surgical 39229 list performance is more completely described by our formula for 39230 efficiency than it is by other conventional measures such as list 39231 utilisation or cancellation rate alone. 39232 C1 John Radcliffe Hosp, Nuffield Dept Anaesthet, Oxford OX3 9DU, England. 39233 Milton Keynes Dist Gen Hosp, Dept Obstet & Gynaecol, Milton Keynes MK6 5LD, Bucks, England. 39234 RP Pandit, JJ, John Radcliffe Hosp, Nuffield Dept Anaesthet, Oxford OX3 39235 9DU, England. 39236 EM jaideep.pandit@dpag.ox.ac.uk 39237 CR *AAGBI, 2003, THEATR EFF SAF QUAL 39238 *AUD COMM, 2003, OP THEATR REV NAT FI 39239 *AUD COMM, 2004, PAYM RES KEY RISKS Q 39240 *NEW S WAL HLTH DE, 2002, OP THEATR MAN REP 39241 *NO IR AUD OFF, 2003, US OP THEATR NO IR H 39242 *OFF NAT STAT, 2004, PUBL SERV PROD HLTH 39243 *QUEENSL HLTH, 2005, POL FRAM EL SURG SER 39244 *SASK PROV WAIT LI, 2002, SURG WAIT LIST MAN S 39245 *SCOTT EX, 2006, NAT THEATR PROJ FIN 39246 ABOULEISH AE, 2003, ANESTHESIA ANALGESIA, V96, P8138 39247 BERWICK DM, 2005, BRIT MED J, V330, P975 39248 CALVERT N, 2004, ANAESTHESIA, V59, P1116 39249 CEGAN PC, 2005, MED J AUSTRALIA, V182, P605 39250 DERISO B, 1995, INT ANESTHESIOL CLIN, V33, P133 39251 DEXTER F, 1999, ANESTHESIOLOGY, V91, P1501 39252 DEXTER F, 2003, ANESTHESIA ANALGESIA, V97, P119 39253 DURANI P, 2005, ANN ROYAL COLL SUR S, V87, P170 39254 GABEL RA, 2003, ASA NEWSLETTER, V67, P5 39255 GORDON T, 1988, J MED SYST, V12, P169 39256 HEALEY AN, 2004, QUAL SAF HEALTH C S1, V13, I33 39257 IVARSON B, 2002, J NURSING MANAGEMENT, V10, P75 39258 KELLEY MG, 1985, AORN J, V41, P565 39259 LAWRENTSCHUK N, 2003, ANZ J SURG, V73, P890 39260 MCINTOSH C, 2006, ANESTH ANALG, V103, P1499 39261 MCWHINNIE DL, 1994, BRIT MED J, V398, P138 39262 OVERDYK FJ, 1996, ANESTHESIA ANALGESIA, V85, P1232 39263 PANDIT JJ, 2006, ANAESTHESIA, V61, P768 39264 PANDIT JJ, 2007, IN PRESS ANESTHESIA 39265 PITCHES D, 2003, BRIT MED J, V327, P1436 39266 RAI MR, 2003, ANAESTHESIA, V58, P692 39267 SHAFER SL, 2006, ANESTH ANALG, V103, P1351 39268 SIER D, 1997, J OPER RES SOC, V48, P884 39269 STRUM DP, 1997, J MED SYST, V21, P309 39270 TAIT AR, 1997, J CLIN ANESTH, V9, P213 39271 TESSLER MJ, 1997, CAN J ANAESTH, V44, P1036 39272 WEINBROUM AA, 2003, AM J SURG, V185, P244 39273 WIDDISON AI, 1995, ANN R COLL SURG ENGL, V77, P304 39274 WRIGHT IH, 1996, ANESTHESIOLOGY, V85, P1235 39275 WU RL, 2005, MED J AUSTRALIA, V183, P551 39276 NR 39 39277 TC 0 39278 PU BLACKWELL PUBLISHING 39279 PI OXFORD 39280 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 39281 SN 0003-2409 39282 J9 ANAESTHESIA 39283 JI Anaesthesia 39284 PD SEP 39285 PY 2007 39286 VL 62 39287 IS 9 39288 BP 895 39289 EP 903 39290 PG 9 39291 SC Anesthesiology 39292 GA 198ZM 39293 UT ISI:000248666000006 39294 ER 39295 39296 PT J 39297 AU Seybert, AL 39298 Barton, CM 39299 AF Seybert, Amy L. 39300 Barton, Christine M. 39301 TI Simulation-based learning to teach blood pressure assessment to doctor 39302 of pharmacy students 39303 SO AMERICAN JOURNAL OF PHARMACEUTICAL EDUCATION 39304 LA English 39305 DT Article 39306 DE patient simulation; cardiovascular disease; hypertension; blood pressure 39307 ID HUMAN PATIENT SIMULATOR; INTERVENTION PROGRAM; MEDICAL-EDUCATION; 39308 SKILLS; HYPERTENSION; PERFORMANCE; MANAGEMENT; CURRICULUM; CARE 39309 AB Objective. To assess the effect of simulation- based learning on doctor 39310 of pharmacy ( PharmD) students' ability to perform accurate blood 39311 pressure assessments and to measure student satisfaction with this 39312 novel teaching method. 39313 Methods. Didactic lectures on blood pressure assessment were combined 39314 with practical sessions using a high-fidelity computerized patient 39315 simulator. Before and after the simulation sessions, students completed 39316 a written objective examination to assess knowledge and completed a 39317 survey instrument to determine their attitudes regarding the learning 39318 experience. Individual clinical skills were assessed using the patient 39319 simulator. 39320 Results. Ninety- five students completed the study. Significant 39321 improvement was seen in students' knowledge and their ability to 39322 accurately determine blood pressure following simulation sessions. 39323 Survey responses indicated that students felt confident that 39324 simulation- based learning would improve their ability to perform 39325 accurate blood pressure assessments. 39326 Conclusion. Pharmacy students showed significant improvement in 39327 clinical skills performance and in their knowledge of the 39328 pharmacotherapy of hypertension. Students expressed high levels of 39329 satisfaction with this type of learning experience. 39330 C1 Univ Pittsburgh, Med Ctr, Sch Pharm, Pittsburgh, PA 15213 USA. 39331 Peter M Winter Inst Simulat Educ & Res, Pittsburgh, PA USA. 39332 RP Seybert, AL, Univ Pittsburgh, Med Ctr, Sch Pharm, 302 Scaife Hall,200 39333 Lothrop St, Pittsburgh, PA 15213 USA. 39334 EM seyberta@upmc.edu 39335 CR *AM HEART ASS, 2005, HEART DIS STROK STAT 39336 *ASS AM MED COLL, 1984, PHYS 21 CENT 39337 *WORLD FED MED ED, 1989, ANN COMMUNITY ORIENT, V2, P111 39338 BERKENSTADT H, 2005, ANESTH ANALG, V101, P1068 39339 BLUM RH, 2005, ANESTH ANALG, V100, P1375 39340 BOND WF, 2004, ACAD MED, V79, P438 39341 BORENSTEIN J, 2003, PHARMACOTHERAPY, V23, P109 39342 CARTER BL, 2003, J CLIN HYPERTENS, V5, P31 39343 CHABOT I, 2003, ANN PHARMACOTHER, V37, P1186 39344 COHEN L, 2000, RES METHODS ED 39345 COTE I, 2003, PHARMACOECONOMICS, V21, P415 39346 COTE I, 2005, J CLIN PHARM THER, V30, P355 39347 DEERING S, 2006, OBSTET GYNECOL, V107, P86 39348 DEVITA MA, 2005, QUAL SAF HEALTH CARE, V14, P326 39349 FIEDOR ML, 2004, CRIT CARE MED S, V32, S72 39350 HENNEMAN EA, 2005, NURS EDUC, V30, P172 39351 JAMES D, 2001, PHARM WORLD SCI, V23, P212 39352 JAMIESON S, 2004, MED EDUC, V38, P1212 39353 KYLE RR, 2004, J CLIN ANESTH, V16, P152 39354 MANGUM SA, 2003, J AM PHARM ASSOC, V43, P50 39355 MCLAUGHLIN SA, 2002, ACAD EMERG MED, V9, P1310 39356 MUELLER AP, 2005, BRIT J ANAESTH, V95, P300 39357 RAGUCCI KR, 2005, AM J HEALTH-SYST PH, V62, P927 39358 REID F, 2005, PHARM WORLD SCI, V27, P202 39359 RHODES ML, 2005, CIN-COMPUT INFORM NU, V23, P256 39360 RODGERS PL, 2001, CRIT CARE MED, V29, P1268 39361 SEYBERT AL, 2006, AM J PHARM EDUC, V70 39362 STEADMAN RH, 2006, CRIT CARE MED, V34, P151 39363 VIVIAN EM, 2002, PHARMACOTHERAPY, V22, P1533 39364 YEE B, 2005, ANESTHESIOLOGY, V103, P241 39365 NR 30 39366 TC 0 39367 PU AMER ASSOC COLL PHARMACY 39368 PI ALEXANDRIA 39369 PA 1426 PRINCE STREET, ALEXANDRIA, VA 22314-2815 USA 39370 SN 0002-9459 39371 J9 AMER J PHARM EDUC 39372 JI Am. J. Pharm. Educ. 39373 PD JUN 15 39374 PY 2007 39375 VL 71 39376 IS 3 39377 AR 48 39378 DI ARTN 48 39379 PG 6 39380 SC Education, Scientific Disciplines; Pharmacology & Pharmacy 39381 GA 200HG 39382 UT ISI:000248753900008 39383 ER 39384 39385 PT J 39386 AU Dolva, AS 39387 Lilja, M 39388 Hemmingsson, H 39389 AF Dolva, Anne-Stine 39390 Lilja, Margareta 39391 Hemmingsson, Helena 39392 TI Functional performance characteristics associated with postponing 39393 elementary school entry among children with Down syndrome 39394 SO AMERICAN JOURNAL OF OCCUPATIONAL THERAPY 39395 LA English 39396 DT Article 39397 DE Down syndrome; mainstream school; Pediatric Evaluation of Disability 39398 Inventory (PEDI); pediatrics; school entry 39399 ID SKILLS; KINDERGARTEN; ACQUISITION; PARENTS 39400 AB OBJECTIVES. This study investigated the relation between functional 39401 performance skills of children with Down syndrome and the age of entry 39402 into mainstream elementary education. 39403 METHOD. In a cross-sectional study of 70% of the 7-year-old children 39404 with Down syndrome in Norway (N= 43), we measured functional 39405 performance using the Pediatric Evaluation of Disability Inventory 39406 (PEDI). The study was a follow-up of a previous study of the same 39407 children at age 5 assessed using the same instrument. Data from both 39408 studies were used in the analysis. 39409 RESULTS. Forty percent of the sample of children with Down syndrome in 39410 Norway had entered elementary school after a 1-year postponement (i.e., 39411 at age 7). The functional performance skills of the children, as 39412 measured using the PEDI, were significantly lower at both age 5 and age 39413 7 in self-care and social function compared with children with Down 39414 syndrome who entered elementary school at the usual time (i.e., at age 39415 6). The main characteristics associated with postponed elementary 39416 school entry were found in communication skills and bladder and bowel 39417 management. 39418 CONCLUSION. A certain level of development and independence seems to be 39419 required for a child with Down syndrome to be viewed as ready to enter 39420 elementary school, and perceptions of readiness for school may be 39421 culturally dependent. In addition to the well-described challenges in 39422 language and communication skills, being viewed as ready for school 39423 includes having stopped using diapers, a topic not previously mentioned 39424 as a factor in postponing elementary school entry for children with 39425 Down syndrome. Awareness of culturally influenced performance skills 39426 may give direction to parents and professionals in targeting areas in 39427 the preschool years that might help promote these children's readiness 39428 for school. 39429 C1 Lillehammer Univ Coll, N-2626 Lillehammer, Norway. 39430 Karolinska Inst, Dept Occupat Therapy, Stockholm, Sweden. 39431 RP Dolva, AS, Lillehammer Univ Coll, N-2626 Lillehammer, Norway. 39432 EM anne-stine.dolva@hil.no 39433 CR *KUNNSK, 2007, OPPL 39434 *NORW I PUBL HLTH, 2005, BIRTH DEF 39435 ANNEREN G, 1997, DOWNS SYNDROME 39436 BERG M, 2003, SCANDINAVIAN J OCCUP, V10, P118 39437 BERG M, 2007, CROSS CULTURAL VALID 39438 BERGLUND E, 2001, J SPEECH LANG HEAR R, V44, P179 39439 BRUSCHINI H, 2003, INT BRAZILIAN J UROL, V29, P455 39440 DOLVA AS, 2004, AM J OCCUP THER, V58, P621 39441 DYKENS EM, 1994, AM J MENT RETARD, V98, P580 39442 FELDMAN AB, 1990, PHYS THER, V70, P602 39443 FIDLER DJ, 2003, J INTELLECT DEV DIS, V28, P196 39444 FIDLER DJ, 2005, AM J OCCUP THER, V59, P129 39445 FOWLER A, 1994, CONSTRAINTS LANGUAGE, P91 39446 FOX S, 2004, BRIT J SPECIAL ED, V31, P184 39447 HALEY SM, 1992, PEDIAT EVALUATION DI 39448 JAHNSEN R, 2000, NORWEGIAN S VERSION 39449 JANSSON UB, 2005, J UROLOGY, V174, P289 39450 JOBLING A, 1998, INT J DISABILITY DEV, V45, P283 39451 LADD GW, 1999, CHILD DEV, V70, P1373 39452 LOFTEROD B, 1989, BARN UNGE MED DOWN S 39453 MCCLELLAND MM, 2000, EARLY CHILD RES Q, V15, P307 39454 NICHOLS DS, 1996, PEDIAT PHYS THER, V8, P15 39455 PELLEGRINI AD, 1992, EARLY CHILDHOOD RES, V7, P565 39456 PIANTA R, 1999, T KINDERGARTEN 39457 PIANTA RC, 1999, YOUNG CHILDREN, V54, P47 39458 ROGERS J, 1998, NURS TIMES, V94, P66 39459 ROSENBAUM P, 1998, PHYSICAL OCCUPATIONA, V18, P1 39460 SCHUM TR, 2002, PEDIATRICS, V109 39461 SPANO M, 1999, EUROPEAN J PAEDIAT N, V3, P7 39462 SWART SK, 1997, AM J OCCUP THER, V51, P289 39463 NR 30 39464 TC 0 39465 PU AMER OCCUPATIONAL THERAPY ASSOC, INC 39466 PI BETHESDA 39467 PA 4720 MONTGOMERY LANE, BETHESDA, MD 20814-3425 USA 39468 SN 0272-9490 39469 J9 AMER J OCCUP THER 39470 JI Am. J. Occup. Ther. 39471 PD JUL-AUG 39472 PY 2007 39473 VL 61 39474 IS 4 39475 BP 414 39476 EP 420 39477 PG 7 39478 SC Rehabilitation 39479 GA 191DT 39480 UT ISI:000248111000007 39481 ER 39482 39483 PT J 39484 AU Fonarow, GC 39485 Yancy, CW 39486 Albert, NM 39487 Curtis, AB 39488 Stough, WG 39489 Gheorghlade, M 39490 Heywood, JT 39491 Mehra, M 39492 O'Connor, CM 39493 Reynolds, D 39494 Walsh, MN 39495 AF Fonarow, Gregg C. 39496 Yancy, Clyde W. 39497 Albert, Nancy M. 39498 Curtis, Anne B. 39499 Stough, Wendy Gattis 39500 Gheorghlade, Mihai 39501 Heywood, J. Thomas 39502 Mehra, Mandeep 39503 O'Connor, Christopher M. 39504 Reynolds, Dwight 39505 Walsh, Mary Norine 39506 TI Improving the use of evidence-based heart failure therapies in the 39507 outpatient setting: The IMPROVE HF performance improvement registry 39508 SO AMERICAN HEART JOURNAL 39509 LA English 39510 DT Article 39511 ID ACUTE MYOCARDIAL-INFARCTION; QUALITY-OF-CARE; IMPLANTABLE 39512 CARDIOVERTER-DEFIBRILLATOR; CARDIAC-RESYNCHRONIZATION THERAPY; 39513 VENTRICULAR SYSTOLIC DYSFUNCTION; DISEASE MANAGEMENT; 39514 RANDOMIZED-TRIALS; AMERICAN-COLLEGE; HEALTH-CARE; ANTITHROMBOTIC THERAPY 39515 AB Evidence-based consensus treatment guidelines are available to assist 39516 physicians with the management of chronic heart failure (HF). Although 39517 it has been generally presumed that physicians incorporate these 39518 treatment guidelines into clinical practice, the actual assimilation of 39519 evidence-based strategies and guidelines has been demonstrated to be 39520 less than ideal. Studies of HF care show that treatment guidelines are 39521 slowly adopted and inconsistently applied and, thus, often fail to lead 39522 to improvements in patient care and outcomes. There are a number of 39523 ongoing, large, national quality improvement registries that are 39524 following the clinical care and outcomes of inpatient HF treatment. 39525 However, to date, there have been no similar quality improvement 39526 registries in the outpatient arena. The Registry to Improve the Use of 39527 Evidence-Based Heart Failure Therapies in the Outpatient Setting 39528 (IMPROVE HF) is the first large, comprehensive performance improvement 39529 registry designed to characterize the current outpatient management of 39530 systolic HF and assess the effect of practice-specific process 39531 improvement interventions consisting of education, specific clinical 39532 guidelines, reminder systems, benchmarked quality reports, and 39533 structured academic detailing on the use of evidence-based HF 39534 therapies. Seven performance measures to quantify the quality of 39535 outpatient HF care were explicitly developed by the IMPROVE HF Steering 39536 Committee. The primary objective is to observe, over the aggregate of 39537 IMPROVE HF practice sites, a relative 20% improvement in at least 2 of 39538 the 7 performance measures at 24 months, compared with baseline. 39539 Deidentified clinical data from the medical records of a planned 43 000 39540 patients from 160 US cardiology practices will be included in this 39541 study. 39542 C1 Univ Calif Los Angeles, Med Ctr, Ahmanson UCLA Cardiomyopathy Ctr, Dept Med, Los Angeles, CA 90095 USA. 39543 Univ Texas, SW Med Ctr, Dept Med, Dallas, TX 75230 USA. 39544 Cleveland Clin Fdn, Div Nursing, Cleveland, OH 44195 USA. 39545 Cleveland Clin Fdn, George M & Linda H Kaufman Ctr Heart Failure, Cleveland, OH 44195 USA. 39546 Univ S Florida, Coll Med, Div Cardiol, Tampa, FL 33620 USA. 39547 Duke Univ, Med Ctr, Dept Med, Durham, NC 27710 USA. 39548 Campbell Univ, Sch Pharm, Dept Clin Res, Res Triangle Pk, NC USA. 39549 Northwestern Univ, Feinberg Sch Med, Div Cardiol, Chicago, IL 60611 USA. 39550 Scripps Clin, Div Cardiol, La Jolla, CA USA. 39551 Univ Maryland, Div Cardiol, Baltimore, MD 21201 USA. 39552 Duke Univ, Med Ctr, Div Cardiol, Durham, NC 27706 USA. 39553 Univ Oklahoma, Hlth Sci Ctr, Cardiovasc Sect, Oklahoma City, OK USA. 39554 Care Grp LLC, Indianapolis, IN USA. 39555 RP Fonarow, GC, Univ Calif Los Angeles, Med Ctr, Ahmanson UCLA 39556 Cardiomyopathy Ctr, Dept Med, 10833 LeConte Ave,Room 47-123CHS, Los 39557 Angeles, CA 90095 USA. 39558 EM gfoncrow@mednet.ucla.edu 39559 CR *AM HEART ASS, 2006, HEART DIS STROK STAT 39560 *AM HEART ASS, 2007, HEART DIS STROK STAT 39561 *JOINT COMM ACCR H, 2006, FACTS ORYX HOSP COR 39562 ABRAHAM WT, 2000, J CARD FAIL, V6, P369 39563 ABRAHAM WT, 2002, NEW ENGL J MED, V346, P1845 39564 ADAMS KF, 1999, J CARD FAIL, V5, P357 39565 ADAMS KF, 2005, AM HEART J, V149, P209 39566 ADAMS KF, 2006, J CARD FAIL, V12, E1 39567 ADAMS KF, 2006, J CARD FAIL, V12, E1 39568 ANSARI M, 2003, CIRCULATION, V107, P2799 39569 ANTMAN EM, 2004, CIRCULATION, V110, E82 39570 BARDY GH, 2005, NEW ENGL J MED, V352, P225 39571 BARKER WH, 2006, CIRCULATION, V113, P799 39572 BONOW RO, 2005, J AM COLL CARDIOL, V46, P1144 39573 BRISTOW MR, 2000, J CARD FAIL, V6, P276 39574 BRISTOW MR, 2004, NEW ENGL J MED, V350, P2140 39575 BROOK RH, 1996, NEW ENGL J MED, V335, P966 39576 BROOK RH, 2000, INT J QUAL HEALTH C, V12, P281 39577 BUXTON AE, 1999, NEW ENGL J MED, V341, P1882 39578 CLELAND JGF, 2002, LANCET, V360, P1631 39579 CLELAND JGF, 2005, NEW ENGL J MED, V352, P1539 39580 CODY RJ, 1986, J CLIN INVEST, V77, P1441 39581 CRANNEY M, 2001, FAM PRACT, V18, P359 39582 EAGLE KA, 2005, J AM COLL CARDIOL, V46, P1242 39583 FONAROW GC, 2001, ANN INTERN MED 2, V135, P694 39584 FONAROW GC, 2004, AM HEART J, V148, P43 39585 FONAROW GC, 2004, REV CARDIOVASC ME S1, V5, S45 39586 FONAROW GC, 2005, ARCH INTERN MED, V165, P1469 39587 FUSTER V, 2001, CIRCULATION, V104, P2118 39588 GALBREATH AD, 2004, CIRCULATION, V110, P3518 39589 GARG R, 1995, JAMA-J AM MED ASSOC, V273, P1450 39590 GHEORGHIADE M, 2006, JAMA-J AM MED ASSOC, V296, P2217 39591 GOTTLIEB SS, 1993, CIRCULATION 1, V88, P1602 39592 GREGORATOS G, 2002, CIRCULATION, V106, P2145 39593 HJALMARSON A, 2000, JAMA-J AM MED ASSOC, V283, P1295 39594 HOHNLOSER SH, 2004, NEW ENGL J MED, V351, P2481 39595 HUNT SA, 2001, J AM COLL CARDIOL, V38, P2101 39596 HUNT SA, 2005, ACC AHA 2005 GUIDELI, P1 39597 HUNT SA, 2005, CIRCULATION, V112, P1825 39598 LECHAT P, 1998, CIRCULATION, V98, P1184 39599 LEE DS, 2005, JAMA-J AM MED ASSOC, V294, P1240 39600 MARCINIAK TA, 1998, JAMA-J AM MED ASSOC, V279, P1351 39601 MASSIE BM, 1997, AM HEART J, V133, P703 39602 MCALISTER FA, 2004, J AM COLL CARDIOL, V44, P810 39603 MCGLYNN EA, 2003, NEW ENGL J MED, V348, P2635 39604 MEHTA RH, 2002, JAMA-J AM MED ASSOC, V287, P1269 39605 MOSS AJ, 1996, NEW ENGL J MED, V335, P1933 39606 MOSS AJ, 2002, NEW ENGL J MED, V346, P877 39607 PACKER M, 2001, NEW ENGL J MED, V344, P1651 39608 PFEFFER MA, 2003, LANCET, V362, P759 39609 PFEFFER MA, 2003, NEW ENGL J MED, V349, P1893 39610 PITT B, 1999, NEW ENGL J MED, V341, P709 39611 PITT B, 2003, NEW ENGL J MED, V348, P1309 39612 RICH MW, 1995, NEW ENGL J MED, V333, P1190 39613 SHAHAR E, 2004, J CARD FAIL, V10, P374 39614 SHIVKUMAR K, 1996, PROG CARDIOVASC DIS, V38, P337 39615 SILAGY CA, 2002, FAM PRACT, V19, P223 39616 SINGER DE, 2004, CHEST S, V126, S429 39617 SPERTUS JA, 2005, J AM COLL CARDIOL, V45, P1147 39618 STAFFORD RS, 2003, J AM COLL CARDIOL, V41, P56 39619 STRICKBERGER SA, 2005, CIRCULATION, V111, P2146 39620 SWEDBERG K, 2005, EUR HEART J, V26, P1115 39621 TOMA M, 2006, AM J CARDIOL, V97, P882 39622 WEINGARTEN SR, 2002, BRIT MED J, V325, P925 39623 WHELLAN DJ, 2001, ARCH INTERN MED, V161, P2223 39624 YOUNG JB, 2003, JAMA-J AM MED ASSOC, V289, P2685 39625 YOUNG JB, 2004, CIRCULATION, V110, P2618 39626 ZEGER SL, 1988, BIOMETRICS, V44, P1049 39627 NR 68 39628 TC 0 39629 PU MOSBY-ELSEVIER 39630 PI NEW YORK 39631 PA 360 PARK AVENUE SOUTH, NEW YORK, NY 10010-1710 USA 39632 SN 0002-8703 39633 J9 AMER HEART J 39634 JI Am. Heart J. 39635 PD JUL 39636 PY 2007 39637 VL 154 39638 IS 1 39639 BP 12 39640 EP 38 39641 PG 27 39642 SC Cardiac & Cardiovascular Systems 39643 GA 188KR 39644 UT ISI:000247919300004 39645 ER 39646 39647 PT J 39648 AU Manaye, KF 39649 Wang, PC 39650 O'Neil, JN 39651 Huang, SY 39652 Xu, T 39653 Lei, DL 39654 Tizabi, Y 39655 Ottinger, MA 39656 Ingram, DK 39657 Mouton, PR 39658 AF Manaye, Kebreten F. 39659 Wang, Paul C. 39660 O'Neil, Jahn N. 39661 Huang, Sophia Y. 39662 Xu, Tao 39663 Lei, De-Liang 39664 Tizabi, Yousef 39665 Ottinger, Mary Ann 39666 Ingram, Donald K. 39667 Mouton, Peter R. 39668 TI Neuropathological quantification of dtg APP/PS1: neuroimaging, 39669 stereology, and biochemistry 39670 SO AGE 39671 LA English 39672 DT Article 39673 DE MRI; Alzheimer's disease; hippocampal formation; amygdala; unbiased 39674 stereology 39675 ID ALZHEIMERS-DISEASE; COGNITIVE DECLINE; NEURITIC PLAQUES; CEREBRAL 39676 ATROPHY; LOCUS-COERULEUS; SYNAPSE LOSS; DEMENTIA; HIPPOCAMPUS; MICE; 39677 EFFICIENCY 39678 AB Murine models that mimic the neuropathology of Alzheimer's disease (AD) 39679 have the potential to provide insight into the pathogenesis of the 39680 disease and lead to new strategies for the therapeutic management of 39681 afflicted patients. We used magnetic resonance imaging (MRI), 39682 design-based stereology, and high performance liquid chromatography 39683 (HPLC) to assess the age-related neuropathology in double transgenic 39684 mice that overexpress two AD-related proteins-amyloid precursor protein 39685 (APP) and presenilin 1 (PS1)-and age- and gender-matched wild-type (WT) 39686 controls. In mice ranging in age from 4-28 months, total volumes of the 39687 hippocampal formation (V-HF) and whole brain (V-brain) were quantified 39688 by the Cavalieri-point counting method on a systematic-random sample of 39689 coronal T2-weighted MRI images; the same stereological methods were 39690 used to quantify V-HF and V-brain after perfusion and histological 39691 processing. To assess changes in AD-type beta-amyloid (A beta) plaques, 39692 sections from the hippocampal formation and amylgdaloid complex of mice 39693 aged 5, 12, and 15 months were stained by Congo Red histochemistry. In 39694 aged mice with large numbers of amyloid plaques, systematic-random 39695 samples of sections were stained by GFAP immunocytochemistry to assess 39696 gender and genotype effects on total numbers of astrocytes. In 39697 addition, levels of norepinephrine (NE), dopamine (DA), serotonin 39698 (5-HT) and 5-HT metabolites were assayed by HPLC in fresh-frozen 39699 samples from neocortex, striatum, hippocampus, and brainstem. We 39700 confirmed age-related increases in amyloid plaques, beginning with a 39701 few plaques at 5 months of age and increasing densities by 12 and 15 39702 months. At 15 months of age, there were robust genotype effects, but no 39703 gender effects, on GFAP-immunopositive astrocytes in the amygdaloid 39704 complex and hippocampus. There were no effects on monoamine levels in 39705 all brain regions examined, and no volume changes in hippocampal 39706 formation or whole brain as quantified on either neuroimages or tissue 39707 sections. Strong correlations were present between volume estimates 39708 from MRI images and histological sections, with about 85% reduction in 39709 mean V-HF or mean V-brain between MRI and processed histological 39710 sections. In summary, these findings show that the double transgenic 39711 expression of AD-type mutations is associated with age-related 39712 increases in amyloid plaques and astrocytosis; however, this model does 39713 not recapitulate the cortical atrophy or neurochemical changes that are 39714 characteristic of AD. 39715 C1 Howard Univ, Coll Med, Dept Physiol & Biophys, Washington, DC 20059 USA. 39716 Howard Univ, Coll Med, Dept Radiol, Washington, DC 20059 USA. 39717 Howard Univ, Coll Med, Dept Pharmacol, Washington, DC 20059 USA. 39718 Univ Maryland, College Pk, MD 20742 USA. 39719 NIA, Lab Expt Gerontol, NIH, Baltimore, MD 21224 USA. 39720 Louisiana State Univ, Nutr Neurosci & Aging Lab, Baton Rouge, LA 70803 USA. 39721 Stereol Resource Ctr, Chester, MD USA. 39722 Johns Hopkins Univ, Sch Med, Baltimore, MD USA. 39723 RP Manaye, KF, Howard Univ, Coll Med, Dept Physiol & Biophys, 520 W 39724 St,NW,Suite 2305,Adams Bldg, Washington, DC 20059 USA. 39725 EM kmanaye@howard.edu 39726 CR ALETRINO MA, 1992, NEUROBIOL AGING, V13, P461 39727 ALZHEIMER A, 1907, ALLG Z PSYCHIAT, V64, P146 39728 BENVENISTE H, 1999, P NATL ACAD SCI USA, V96, P14079 39729 BORTHAKUR A, 2003, P INT SOC MAG RESON, V11, P2039 39730 CAVALIERI B, 1966, JGEOMETRIA INDIVIBIL 39731 CONVIT A, 1993, PSYCHIAT QUART, V64, P371 39732 DEDEOGLU A, 2004, BRAIN RES, V1012, P60 39733 DEKOSKY ST, 1990, ANN NEUROL, V27, P457 39734 DELAMONTE SM, 1989, ANN NEUROL, V25, P450 39735 DELEON MJ, 2004, J INTERN MED, V256, P205 39736 GUNDERSEN HJG, 1981, J MICROSC, V121, P65 39737 GUNDERSEN HJG, 1987, J MICROSC-OXFORD, V147, P3 39738 GUNDERSEN HJG, 1999, J MICROSC-OXFORD 3, V193, P199 39739 HELPERN JA, 2004, MAGNET RESON MED, V51, P794 39740 JANKOWSKY JL, 2003, HUM MOL GENET, V13, P159 39741 JOBST KA, 1994, LANCET, V343, P829 39742 LEE GD, 2005, BRAIN RES BULL, V65, P317 39743 LONG JM, 1998, NEUROBIOL AGING, V19, P497 39744 MCGOWAN E, 2003, NEUROGENERATION MOL, P74 39745 MCKEEL DW, 2004, J NEUROPATH EXP NEUR, V63, P1028 39746 MIRRA SS, 1993, ARCH PATHOL LAB MED, V117, P132 39747 MOUTON PR, 1994, J CHEM NEUROANAT, V7, P185 39748 MOUTON PR, 1997, J NEUROSCI METH, V75, P119 39749 MOUTON PR, 1998, NEUROBIOL AGING, V19, P371 39750 MOUTON PR, 2002, BRAIN RES, V956, P30 39751 MOUTON PR, 2002, PRINCIPLES PRACTICES 39752 OHNO M, 2006, EUR J NEUROSCI, V23, P251 39753 ONEIL JN, IN PRESS J CHEM NEUR 39754 PODUSLO JF, 2002, NEUROBIOL DIS, V11, P315 39755 ROBERTS N, 2000, BRIT J RADIOL, V73, P679 39756 SAVENNENKO A, 2005, NEUROBIOL DIS, V18, P602 39757 STORGA D, 1996, NEUROSCI LETT, V203, P29 39758 STOUT JC, 1996, ARCH NEUROL-CHICAGO, V53, P742 39759 SUBBIAH P, 1996, J NEUROPATH EXP NEUR, V55, P1032 39760 SZAPACS ME, 2004, NEUROBIOL DIS, V16, P572 39761 SZE CI, 1997, J NEUROPATH EXP NEUR, V56, P933 39762 TERRY RD, 1991, ANN NEUROL, V30, P572 39763 TIRABOSCHI P, 2004, NEUROLOGY, V62, P1984 39764 TUPPO EE, 2005, INT J BIOCHEM CELL B, V37, P289 39765 WADGHIRI YZ, 2003, MAGNET RESON MED, V50, P293 39766 WEST MJ, 1993, NEUROBIOL AGING, V14, P287 39767 ZAROW C, 2003, ARCH NEUROL-CHICAGO, V60, P337 39768 NR 42 39769 TC 0 39770 PU SPRINGER 39771 PI DORDRECHT 39772 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 39773 SN 0161-9152 39774 J9 AGE 39775 JI Age 39776 PD SEP 39777 PY 2007 39778 VL 29 39779 IS 2-3 39780 BP 87 39781 EP 96 39782 PG 10 39783 SC Geriatrics & Gerontology 39784 GA 201KK 39785 UT ISI:000248829900004 39786 ER 39787 39788 PT J 39789 AU Subtil, J 39790 Varandas, J 39791 Galrao, F 39792 Dos Santos, A 39793 AF Subtil, Joao 39794 Varandas, Jorge 39795 Galrao, Fernando 39796 Dos Santos, Alves 39797 TI Alternobaric vertigo: prevalence in Portuguese Air Force Pilots 39798 SO ACTA OTO-LARYNGOLOGICA 39799 LA English 39800 DT Article 39801 DE alternobaric vertigo; pressure vertigo; flight vertigo; Air Force pilots 39802 ID MIDDLE-EAR PRESSURE; VESTIBULAR RESPONSE; OVAL WINDOWS; GUINEA-PIGS; 39803 COCHLEAR 39804 AB Conclusion. Having found a prevalence rate of alternobaric vertigo in 39805 Portuguese Air Force pilots that is somewhat higher than previously 39806 reported, we underline the importance of implementing education on the 39807 management of this condition as part of routine Air Force pilot 39808 training programs. Objectives. Alternobaric vertigo is a condition in 39809 which transient vertigo with spatial disorientation occurs suddenly 39810 during flying or diving activities, caused by bilateral asymmetrical 39811 changes in middle ear pressure. Its prevalence is very likely 39812 underestimated and under-reported, with the 10-17% prevalence rate 39813 mentioned in early literature not being challenged by recent data. 39814 Subjects and methods. To assess its actual prevalence, the authors 39815 requested all high performance aircraft pilots presently on active duty 39816 in the Portuguese Air Force to anonymously answer a questionnaire on 39817 alternobaric vertigo symptoms, after a short briefing on the subject. 39818 Results. A 29% prevalence rate of in-flight episodes consistent with 39819 alternobaric vertigo was obtained. 39820 C1 Torre Fato, Hosp Forca Aerea, ORL Dept, P-1600 Lisbon, Portugal. 39821 Air Force Hosp, Dept Otorhinolaryngol, Lisbon, Portugal. 39822 RP Subtil, J, Torre Fato, Hosp Forca Aerea, ORL Dept, Az Torre Fato, 39823 P-1600 Lisbon, Portugal. 39824 EM subtil@netcabo.pt 39825 CR FIELDS JA, 1958, ARCH OTOLARYNGOL, V68, P531 39826 GREGH JN, 1967, EAR NOSE THROAT J, V46, P464 39827 IVARSSON A, 1977, ACTA OTO-LARYNGOL, V84, P38 39828 KONRADSSON KS, 1994, ACTA OTO-LARYNGOL, V114, P24 39829 LUNDGREN CEG, 1965, BRIT MED J, V2, P511 39830 LUNDGREN CEG, 1966, AEROSPACE MED, V37, P178 39831 MOLVAER OI, 1988, UNDERSEA BIOMED RES, V15, P271 39832 SUZUKI M, 1994, ACTA OTO-LARYNGOL, V510, P16 39833 SUZUKI M, 1998, ACTA OTO-LARYNGOL, V118, P712 39834 TJERNSTROM O, 1974, ACTA OTOLARYNGOL STO, V78, P221 39835 TJERNSTROM O, 1974, ACTA OTOLARYNGOL STO, V78, P376 39836 NR 11 39837 TC 0 39838 PU TAYLOR & FRANCIS AS 39839 PI OSLO 39840 PA PO BOX 12 POSTHUSET, NO-0051 OSLO, NORWAY 39841 SN 0001-6489 39842 J9 ACTA OTO-LARYNGOL 39843 JI Acta Oto-Laryngol. 39844 PY 2007 39845 VL 127 39846 IS 8 39847 BP 843 39848 EP 846 39849 PG 4 39850 SC Otorhinolaryngology 39851 GA 202CR 39852 UT ISI:000248880100011 39853 ER 39854 39855 PT J 39856 AU Rup, B 39857 Hara, DO 39858 AF Rup, Bonita 39859 Hara, Denise O. ' 39860 TI Critical ligand binding reagent Preparation/Selection: When specificity 39861 depends on reagents 39862 SO AAPS JOURNAL 39863 LA English 39864 DT Review 39865 DE ligand binding reagents; reagent characterization; assay specificity 39866 ID BIOTECHNOLOGY PRODUCTS; IMMUNOASSAYS; VALIDATION; ANTIBODIES; 39867 RECOMMENDATIONS; IMMUNOGENICITY; LIBRARIES; PROTEIN; BETA 39868 AB Throughout the life cycle of biopharmaceutical products, bioanalytical 39869 support is provided using ligand binding assays to measure the drug 39870 product for pharmacokinetic, pharmacodynamic, and immunogenicity 39871 studies. The specificity and selectivity of these ligand binding assays 39872 are highly dependent on the ligand binding reagents. Thus the 39873 selection, characterization, and management processes for ligand 39874 binding reagents are crucial to successful assay development and 39875 application. This report describes process considerations for selection 39876 and characterization of ligand binding reagents that are integral parts 39877 of the different phases of assay development. Changes in expression, 39878 purification, modification, and storage of the ligand binding re agents 39879 may have a profound effect on the ligand binding assay performance. 39880 Thus long-term management of the critical ligand binding assay reagents 39881 is addressed including suggested characterization criteria that allow 39882 ligand binding reagents to be used in as consistent a manner as 39883 possible. Examples of challenges related to the selection, 39884 modification, and characterization of ligand binding reagents are 39885 included. 39886 C1 Wyeth Ayerst Res, Bioanalyt Res & Dev, Reading, MA 01867 USA. 39887 RP Hara, DO, Wyeth Ayerst Res, Bioanalyt Res & Dev, Reading, MA 01867 USA. 39888 EM dohara@wyeth.com 39889 CR BLUM WF, 1991, MODERN CONCEPTS INSU, P381 39890 BRADBURY ARM, 2004, J IMMUNOL METHODS, V290, P29 39891 BRODY EN, 2000, J BIOTECHNOL, V74, P5 39892 BURNS R, 2005, IMMUNOCHEMICAL PROTO 39893 BUTLER JE, 1991, PERSPECTIVES CONFIGU, P3 39894 COLEMAN PM, 1988, ADV IMMUNOL, V43, P99 39895 DESILVA B, 2003, PHARMACEUT RES, V20, P1885 39896 ENGELBIENNE P, 2000, IMMUNE RECEPTOR ASSA 39897 FINDLAY JWA, 2000, J PHARMACEUT BIOMED, V21, P1249 39898 GENG D, 2005, J PHARMACEUT BIOMED, V39, P364 39899 GOSLING JB, 2000, IMMUNOASSAYS PRACTIC 39900 HARRISON D, 1992, 74 END SOC M JUN 24 39901 HOWARD GC, 2001, BASIC METHODS ANTIBO 39902 KINGSLEY DM, 1994, GENE DEV, V8, P133 39903 KOHLER G, 1975, NATURE, V256, P495 39904 KONTHUR Z, 2005, GENE, V364, P19 39905 LIPOVSEK D, 2004, J IMMUNOL METHODS, V290, P51 39906 MIRESLUIS AR, 2004, J IMMUNOL METHODS, V289, P1 39907 NIEMEYER CM, 2004, BIOCONJUGATION PROTO, P283 39908 NORD K, 1997, NAT BIOTECHNOL, V15, P772 39909 PORSTMANN T, 1992, J IMMUNOL METHODS, V150, P5 39910 SHANKAR G, 2006, TRENDS BIOTECHNOL, V24, P274 39911 SMOLEC J, 2005, PHARM RES, V22, P1425 39912 SUBRAMANIAN G, 2004, ANTIBODIES NOVEL TEC, V2 39913 TANG L, 2004, J PHARM SCI-US, V93, P2184 39914 TIJSSEN P, 1985, LAB TECHNIQUES BIOCH 39915 WEBB DJ, 1998, J BIOL CHEM, V273, P13339 39916 WONG SS, 2000, CHEM PROTEIN CONJUGA 39917 WOZNEY JM, 1998, CLIN ORTHOP RELA JAN, P26 39918 NR 29 39919 TC 0 39920 PU AMER ASSOC PHARMACEUTICAL SCIENTISTS 39921 PI ARLINGTON 39922 PA 2107 WILSON BLVD, STE 700, ARLINGTON, VA 22201-3042 USA 39923 SN 1550-7416 39924 J9 AAPS J 39925 PY 2007 39926 VL 9 39927 IS 2 39928 BP E148 39929 EP E155 39930 AR 16 39931 PG 8 39932 SC Pharmacology & Pharmacy 39933 GA 200DQ 39934 UT ISI:000248744500005 39935 ER 39936 39937 PT J 39938 AU Niehoff, D 39939 Tolle, KH 39940 Krieter, J 39941 AF Niehoff, Donata 39942 Toelle, K.-H. 39943 Krieter, J. 39944 TI Fertility monitoring in dairy herds 39945 SO ZUCHTUNGSKUNDE 39946 LA German 39947 DT Article 39948 DE dairy herds; fertility monitoring; repeat breeding days; colving 39949 interval; controll charts 39950 ID PERFORMANCE 39951 AB An important factor for the economy of dairy herds is their performance 39952 in reproduction. To achieve acceptable results, a fertility monitoring 39953 system is introduced in the present study. Using data of electronical 39954 dairy herd management programs, the system normally analyses one single 39955 control parameter. For this purpose, the fraction of repeat-breeding 39956 days of all production days was calculated. This variable merges both, 39957 the economically important parameter calving inter-Val and the cows 39958 getting more than one insemination without gestation and are 39959 slaughtered afterwards because of infertility. This variable was 39960 calculated for one dairy farm and analysed with control charts. So far, 39961 the use of control charts is very common in the industry, but the 39962 application of these charts in monitoring biological processes is rare. 39963 The great advantage of those charts is the classification of the 39964 process variation into unavoidable random variation and special 39965 variation because of preventable causes. In the present study, two 39966 different charts are introduced: the CUSUM and the EWMA chart. The 39967 borderline for random process variation is passed in both charts for 39968 the analysed farm. To find the reasons for this trespassing, the 39969 variables percent of repeat-breeder cows and time between inseminations 39970 were analysed. For the contemplated dairy herd both charts detected the 39971 increasing quota of repeat-breeder cows as reason for the growth of the 39972 fraction of repeat-breeding days of all production days. 39973 Overall, control charts and the variable fraction of repeat-breeding 39974 days of all production days seem to give a satisfactory overview about 39975 the herd performance. A monitoring system containing these two 39976 components could be a good tool for the herd manager and complete the 39977 appraisals of his electronical dairy herd management program. 39978 C1 Bundesforsch Anstalt Landwirtschaft, Inst Tierernahrung, D-3300 Braunschweig, Germany. 39979 Landwirtschaftskammer Schleswig Holstein, Futterkamp, Germany. 39980 Univ Kiel, Inst Tierzucht & Tierhaltung, Kiel, Germany. 39981 RP Niehoff, D, Bundesforsch Anstalt Landwirtschaft, Inst Tierernahrung, 39982 D-3300 Braunschweig, Germany. 39983 EM jkrieter@tierzucht.uni-kiel.de 39984 CR ARBEL R, 2001, J DAIRY SCI, V84, P600 39985 BOWER KM, 2000, USING EXPONENTIALLY 39986 BRITT JH, 1985, J DAIRY SCI, V68, P1585 39987 DEVRIES A, 2001, STAT PROCESS CONTROL 39988 DEVRIES A, 2003, J DAIRY SCI, V86, P1970 39989 ENGLER J, 2004, CONTROL CHARTS LEIST 39990 GROENENDAAL H, 2004, J DAIRY SCI, V87, P2146 39991 KLEIN M, 2000, J QUAL TECHNOL, V32, P427 39992 MARSHALL C, 2004, J ROY STAT SOC A S 3, V167, P541 39993 MONTGOMERY DC, 1997, INTRO STAT QUALITY C 39994 PIGEON J, 2005, INTRO STAT QUALITY C 39995 PLAIZIER JCB, 1997, J DAIRY SCI, V80, P2775 39996 RENEAU JK, 2000, PROCESS CONTROL TIME 39997 RICHTER F, 1999, THESIS FREIE U BERLI 39998 WEIGEL KA, 2004, J DAIRY SCI S, V87, E86 39999 WEIHS C, 1999, STAT METHODEN QUALIT 40000 NR 16 40001 TC 0 40002 PU EUGEN ULMER GMBH CO 40003 PI STUTTGART 40004 PA POSTFACH 700561 WOLLGRASWEG 41, D-70599 STUTTGART, GERMANY 40005 SN 0044-5401 40006 J9 ZUCHTUNGSKUNDE 40007 JI Zuchtungskunde 40008 PD JUL-AUG 40009 PY 2007 40010 VL 79 40011 IS 4 40012 BP 275 40013 EP 286 40014 PG 12 40015 SC Agriculture, Dairy & Animal Science 40016 GA 190QY 40017 UT ISI:000248075200003 40018 ER 40019 40020 PT J 40021 AU Roth, C 40022 Wegge, J 40023 Schmidt, KH 40024 AF Roth, Carla 40025 Wegge, Juergen 40026 Schmidt, Klaus-Helmut 40027 TI Consequences of demographic change for the management of human 40028 resources in organizations 40029 SO ZEITSCHRIFT FUR PERSONALPSYCHOLOGIE 40030 LA German 40031 DT Article 40032 DE demography; age discrimination; performance and learning potential of 40033 older employees; age diversity; group composition; human resource 40034 management 40035 ID WORK GROUP DIVERSITY; TEAM PERFORMANCE; OLDER-ADULTS; RELATIONSHIP 40036 CONFLICT; AGE-DISCRIMINATION; INTEGRATIVE MODEL; IMPROVING MEMORY; 40037 JOB-PERFORMANCE; METAANALYSIS; EMPLOYMENT 40038 AB In future, organizations will find fewer young employees and will have 40039 to employ more older (50plus) employees. However, many organizations 40040 are not well prepared to face the corresponding risks and chances. 40041 After an introductory glance at the known facts concerning demographic 40042 change in Germany and the often ignored problem of age discrimination 40043 in the work place, recent results regarding the learning and 40044 performance potential of older employees are summarized. This analysis 40045 reveals that the very low percentage of older employees in Germany has 40046 several reasons and cannot be explained solely by pointing to 40047 age-related decreases in performance capabilities of aging individuals. 40048 Therefore, human resource management is called upon to act against age 40049 discrimination in organizations and to establish more incentives for 40050 long-term employment. Further, other strategies which lead to the 40051 maintenance of innovation and work performance of aging employees and 40052 can assist in better utilization of potentials of these employees are 40053 discussed. Special attention is given to recent findings concerning age 40054 diversity in teams. Continued training, leadership, and age 40055 differentiated work design are discussed as further important areas of 40056 human resource management for organizations with an aging work force. 40057 C1 Univ Munich, Dept Psychol Psychol Excellence Business & Educ, D-80802 Munich, Germany. 40058 RP Roth, C, Univ Munich, Dept Psychol Psychol Excellence Business & Educ, 40059 Martiusstr 4, D-80802 Munich, Germany. 40060 EM croth@psy.uni-muenchen.de 40061 CR 2003, VIELE VOURURTEILE 40062 *BAUA, 2004, MIT ERF ZUK MEIST AL 40063 *BDA, 2002, ALT MIT BETR LEITF U 40064 *BIBB, 2005, RBS INF 40065 *BKK, 2006, GES 2006 40066 *BMBF, 2006, INT GES WEIT DEUTSCH 40067 ALLEN TD, 2004, J APPL PSYCHOL, V89, P127 40068 ALLMENDINGER J, 2006, Z ARB ORGAN, V50, P227 40069 BALTES PB, 1999, Z GERONTOL GERIATR, V32, P433 40070 BAMBERG E, 2006, Z ARB ORGAN, V50, P215 40071 BARGH JA, 1996, J PERS SOC PSYCHOL, V71, P230 40072 BEHREND C, 2002, Z PERSONALFUHRUNG, V6, P34 40073 BIRD CP, 1986, J APPL PSYCHOL, V71, P515 40074 BOWERS CA, 2000, SMALL GR RES, V31, P305 40075 BUCK H, 2002, HANDLUNGSANLEITUNGEN, P9 40076 BUCK H, 2004, 13 WISS K DEM WAND A 40077 BUNGARD W, 1983, Z GERONTOL, V16, P222 40078 BYRNE D, 1971, ATTRACTION PARADIGM 40079 CHASTEEN AL, 2005, INT J AGING HUM DEV, V61, P123 40080 CHIU WCK, 2001, HUM RELAT, V54, P629 40081 COLOMBE S, 2003, PSYCHOL SCI, V14, P125 40082 COSTA PT, 2006, PSYCHOL BULL, V132, P26 40083 DEDREU CKW, 2003, J APPL PSYCHOL, V88, P741 40084 DEDREU CKW, 2006, J MANAGE, V32, P83 40085 DEVINE DJ, 2001, SMALL GR RES, V32, P507 40086 DUNCAN C, 2004, GENDER WORK ORGAN, V11, P95 40087 ECKHARDSTEIN D, 2004, Z FUHRUNG ORG, V73, P128 40088 ELY RJ, 2004, J ORGAN BEHAV, V25, P755 40089 FINKELSTEIN LM, 1995, J APPL PSYCHOL, V80, P652 40090 FRIELING E, 2006, Z ARBEITSWISSENSCHAF, V60, P71 40091 GARMAN AN, 2004, CONSULT PSYCHOL J, V56, P119 40092 GEBERT D, 2004, INNOVATION TEAMARBEI 40093 HASLAM SA, 2004, PSYCHOL ORG SOCIAL I 40094 HEDGE JW, 2006, AGEING WORKFACE REAL 40095 HERTEL G, 2006, ENZY PSYCHOL THEMENB, V2, P181 40096 HEUER H, 1996, WORK STRESS, V10, P322 40097 HOBMAN EV, 2004, GROUP ORGAN MANAGE, V29, P560 40098 HUBER A, 1998, Z PERSONALFUHRUNG, V1, P39 40099 ILLMARINEN J, 2002, ARBEITSFAHIGKEIT 201 40100 JACKSON SE, 2003, J MANAGE, V29, P801 40101 KANFER R, 2004, ACAD MANAGE REV, V29, P440 40102 KERSCHREITER R, 2003, TEAMARBEIT TEAMENTWI, P85 40103 KESSLER EM, 2004, AGEING SOC 4, V24, P531 40104 KITE ME, 2005, J SOC ISSUES, V61, P241 40105 KLIEGL R, 1997, ENZY PSYCHOL, V4, P87 40106 KLUGE A, IN PRESS Z ARBEITS O 40107 KOCHER E, 2005, ARBEIT, V14, P305 40108 KOSTER K, 2003, JUGENDKULT LASST FIR 40109 KRAMER U, 2003, SPRACHE KOMMUNIKATIO, P257 40110 KRISTOFBROWN AL, 2005, PERS PSYCHOL, V58, P281 40111 KRUSE A, 1997, ENZYKLOPADIE PSYCHOL, V4, P46 40112 KRUSE A, 2005, DOKUMENTATION FACHTA, P1 40113 KRUSE A, 2005, Z GERONTOL GERIAT S1, V38, P56 40114 KRUSE A, 2006, ENZY PSYCHOL THEME 3, V2, P425 40115 LANDAU K, 2003, PERSONAL Z HUMAN RES, P11 40116 LEHR U, 2006, Z ARB ORGAN, V50, P240 40117 LEONARD JS, 2004, J ORGAN BEHAV, V25, P731 40118 LEVY B, 1996, J PERS SOC PSYCHOL, V71, P1092 40119 LUCZAK H, 1997, HDB ARBEITSWISSENSCH 40120 MARTIN M, 2005, MIDDLE ADULTHOOD LIF, P179 40121 MARTIN M, 2005, THER UMSCH, V62, P801 40122 MAURER TJ, 2001, J MANAGE, V27, P123 40123 MCEVOY GM, 1989, J APPL PSYCHOL, V74, P11 40124 MUNTEFERING F, 2006, B BUNDESREGIERUNG, V15 40125 NAEGELE G, 2005, DOKUMENTATION FACHTA, P13 40126 NOICE H, 1999, APPL COGNITIVE PSYCH, V13, P315 40127 OREILLY C, 1997, RES MANAGEMENT GROUP 40128 PELLED LH, 1999, ADMIN SCI QUART, V44, P1 40129 PERRY EL, 1996, J APPL PSYCHOL, V81, P628 40130 PETTIGREW TF, 1998, ANNU REV PSYCHOL, V49, P65 40131 RIORDAN CM, 1997, J APPL PSYCHOL, V82, P342 40132 ROBERTS BW, 2006, PSYCHOL BULL, V132, P1 40133 ROHRSENDLMEIER UM, 2004, Z GERONTOL GERIATR, V37, P56 40134 ROTH C, UNPUB AGE DIVERSITY 40135 SCHMITT E, 2004, ENZY GERONTOLOGIE, P135 40136 SCHULTE K, 2006, ARBEITSZUFRIEDENHEIT, P273 40137 SONNTAG K, 2002, Z PERSONALPSYCHOLOGI, V1, P59 40138 SONNTAG K, 2004, UNTERRICHTSWISSENSCH, V32, P104 40139 SONNTAG KH, IN PRESS HDB ARBEITS 40140 TIMMERMAN TA, 2000, SMALL GR RES, V31, P592 40141 TSUI AS, 1995, DIVERSITY ORG NEW PE, P191 40142 VANDICK R, 2006, Z PERSONALPSYCHOLOGI, V5 40143 VANKNIPPENBERG D, 2003, SOCIAL IDENTITY WORK 40144 VANKNIPPENBERG D, 2004, J APPL PSYCHOL, V89, P1008 40145 WALDMAN DA, 1986, J APPL PSYCHOL, V71, P33 40146 WARR P, 1994, WORK AGING EUROPEAN, P309 40147 WEGGE J, 2003, TEAMARBEIT TEAMENTWI, P119 40148 WEGGE J, 2004, FORDERUNG ARBEITSMOT 40149 WEGGE J, 2004, FUHRUNG ARBEITSGRUPP 40150 WEGGE J, 2006, BRIT J MANAGE, V17, P237 40151 WEST MA, 1999, 0436 CEP LSE 40152 WEST MA, 2002, APPL PSYCHOL-INT REV, V51, P355 40153 WILLIAMS KY, 1998, RES ORGAN BEHAV, V20, P77 40154 WILLIS SL, 2005, MIDLIFE ADULTHOOD LI, P243 40155 YANG JX, 2004, J ORGAN BEHAV, V25, P589 40156 ZIMPRICH D, 2004, ENZY GERONTOLOGIE, P289 40157 NR 96 40158 TC 0 40159 PU HOGREFE & HUBER PUBLISHERS 40160 PI GOTTINGEN 40161 PA ROHNSWEG 25, D-37085 GOTTINGEN, GERMANY 40162 SN 1617-6391 40163 J9 Z PERSONALPSYCHOL 40164 JI Z. Personalpsychol. 40165 PY 2007 40166 VL 6 40167 IS 3 40168 BP 99 40169 EP 116 40170 PG 18 40171 SC Psychology, Applied 40172 GA 188EO 40173 UT ISI:000247902100001 40174 ER 40175 40176 PT J 40177 AU Winkler, J 40178 Bilitewski, B 40179 AF Winkler, Jorg 40180 Bilitewski, Bernd 40181 TI Comparative evaluation of life cycle assessment models for solid waste 40182 management 40183 SO WASTE MANAGEMENT 40184 LA English 40185 DT Article 40186 AB This publication compares a selection of six different models developed 40187 in Europe and America by research organisations, industry associations 40188 and governmental institutions. The comparison of the models reveals the 40189 variations in the results and the differences in the conclusions of an 40190 LCA study done with these models. The models are compared by modelling 40191 a specific case - the waste management system of Dresden, Germany - 40192 with each model and an in-detail comparison of the life cycle inventory 40193 results. Moreover, a life cycle impact assessment shows if the LCA 40194 results of each model allows for comparable and consecutive 40195 conclusions, which do not contradict the conclusions derived from the 40196 other models' results. Furthermore, the influence of different level of 40197 detail in the life cycle inventory of the life cycle assessment is 40198 demonstrated. 40199 The model comparison revealed that the variations in the LCA results 40200 calculated by the models for the case show high variations and are not 40201 negligible. In some cases the high variations in results lead to 40202 contradictory conclusions concerning the environmental performance of 40203 the waste management processes. The static, linear modelling approach 40204 chosen by all models analysed is inappropriate for reflecting actual 40205 conditions. Moreover, it was found that although the models' approach 40206 to LCA is comparable on a general level, the level of detail 40207 implemented in the software tools is very different. (c) 2007 Elsevier 40208 Ltd. All rights reserved. 40209 C1 Tech Univ Dresden, Fac Forestry Geo & Hydro Sci, Inst Waste Management & Contaminated Sites Treatm, D-01796 Pirna, Germany. 40210 RP Bilitewski, B, Tech Univ Dresden, Fac Forestry Geo & Hydro Sci, Inst 40211 Waste Management & Contaminated Sites Treatm, Pratzsch Str 15, D-01796 40212 Pirna, Germany. 40213 EM abfall@rcs.urz.tu-dresden.de 40214 CR *CML, 2002, CTR ENV SCI LEID 40215 *IFEU, 1992, VERGL AUSW VERSCH VE 40216 BIRGISDOTTER, 2005, LCA TOOL DISPOSAL MS 40217 BJORKLUND A, 2000, THESIS ROYAL I TECHN 40218 COLEMAN T, 2003, INT J LIFE CYCLE ASS, V8, P175 40219 FRANKE M, 1999, P 1 INT C WAST MIN R 40220 SCHWING W, 1999, BEWERTUNG EMMISSIONE 40221 THORNLOE S, 2003, INLCALCM 2002 C 40222 WINKLER J, 2004, COMPARATIVE EVALUATI, V36, P127 40223 NR 9 40224 TC 0 40225 PU PERGAMON-ELSEVIER SCIENCE LTD 40226 PI OXFORD 40227 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 40228 SN 0956-053X 40229 J9 WASTE MANAGEMENT 40230 JI Waste Manage. 40231 PY 2007 40232 VL 27 40233 IS 8 40234 BP 1021 40235 EP 1031 40236 PG 11 40237 SC Engineering, Environmental; Environmental Sciences 40238 GA 187GA 40239 UT ISI:000247834400006 40240 ER 40241 40242 PT J 40243 AU Webber, R 40244 Butler, T 40245 AF Webber, Richard 40246 Butler, Tim 40247 TI Classifying pupils by where they live: How well does this predict 40248 variations in their GCSE results? 40249 SO URBAN STUDIES 40250 LA English 40251 DT Article 40252 ID SCHOOLS 40253 AB This paper summarises key findings resulting from the appending of the 40254 neighbourhood classification system Mosaic to the records of the Pupil 40255 Level Annual School Census (PLASC) within the National Pupil Database 40256 (NPD) of the Department for Education and Skills (DfES). The most 40257 significant of these findings is that, other than the performance of 40258 the pupil at an earlier Key Stage test, the type of neighbourhood in 40259 which a pupil lives is a more reliable predictor of a pupil's GCSE 40260 performance than any other information held about that pupil on the 40261 PLASC database. Analysis then shows the extent to which the performance 40262 of pupils from any particular type of neighbourhood is also 40263 incrementally affected by the neighbourhoods from which the other 40264 pupils in the school they attend are drawn. It finds that whilst a 40265 pupil's exam performance is affected primarily by the social background 40266 of people he or she may encounter at home, the social background of 40267 fellow school pupils is of only marginally lower significance. These 40268 findings suggest that so long as pupils' GCSE performances are so 40269 strongly affected by the type of neighbourhood in which they live, a 40270 school's league position bears only indirect relationship to the 40271 quality of school management and teaching. A better measurement of the 40272 latter would be a league table system which took into account the 40273 geodemographic profile of each school's pupil intake. The paper 40274 concludes with discussion of the relevance of these findings to the 40275 sociology of education, to the debate on consumer choice in public 40276 services, to the general appropriateness of adjusting public-sector 40277 performance metrics to take into account the social mix of service 40278 users and to parental strategies in the educational sector in 40279 particular. 40280 C1 Univ Coll London, Ctr Adv Spatial Anal, Dept Geog, London WC1E 6BT, England. 40281 Kings Coll London, Dept Geog, London WC2R 2LS, England. 40282 RP Webber, R, Univ Coll London, Ctr Adv Spatial Anal, Dept Geog, Pearson 40283 Bldg,Gower St, London WC1E 6BT, England. 40284 EM richardwebber@blueyonder.co.uk 40285 tim.butler@kcl.ac.uk 40286 CR BAKER K, 1979, P MARK RES SOC C BRI, P253 40287 BALL SJ, 1995, SOCIOL REV, V43, P52 40288 BERNSTEIN B, 1975, CLASS CODES CONTROL 40289 BOURDIEU P, 1990, REPROD ED SOC CULTUR 40290 BURGESS S, 2005, T I BRIT GEOGR, V30, P20 40291 BUTLER T, 2003, LONDON CALLING MIDDL 40292 DENNIS N, 1956, COAL IS OUR LIFE ANA 40293 DEVINE F, 2004, CLASS PRACTICES PARE 40294 EHRENREICH B, 1989, FEAR FALLING INNER L 40295 HART TJ, 1971, LANCET 0227, P405 40296 JACKSON B, 1962, ED WORKING CLASS SOM 40297 JOHNSTON R, 2005, ENVIRON PLANN A, V37, P45 40298 LEVY J, 2005, MARKET BETTER HLTH D 40299 LONGLEY P, 2003, ADV SPATIAL ANAL CAS 40300 MACHIN S, 2005, MOB PRIV SECT PUB ED 40301 MCCORKELL G, 1977, DIRECT DATABASE MARK 40302 POWER S, 2003, ED MIDDLE CLASS 40303 SAVAGE M, 2005, GLOBALISATION BELONG 40304 SLEIGHT P, 2004, TARGETING CUSTOMERS 40305 WEBBER R, 2004, 84 U COLL CTR ADV SP 40306 WEBBER R, 2004, J INTERACTIVE MARKET, V5, P219 40307 WILLIS P, 1977, LEARNING LABOUR WORK 40308 YOUNG MFD, 1971, KNOWLEDGE CONTROL NE 40309 NR 23 40310 TC 2 40311 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 40312 PI ABINGDON 40313 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 40314 SN 0042-0980 40315 J9 URBAN STUDIES 40316 JI Urban Stud. 40317 PD JUN 40318 PY 2007 40319 VL 44 40320 IS 7 40321 BP 1229 40322 EP 1253 40323 PG 25 40324 SC Environmental Studies; Urban Studies 40325 GA 187SS 40326 UT ISI:000247869400005 40327 ER 40328 40329 PT J 40330 AU Moriasi, DN 40331 Arnold, JG 40332 Van Liew, MW 40333 Bingner, RL 40334 Harmel, RD 40335 Veith, TL 40336 AF Moriasi, D. N. 40337 Arnold, J. G. 40338 Van Liew, M. W. 40339 Bingner, R. L. 40340 Harmel, R. D. 40341 Veith, T. L. 40342 TI Model evaluation guidelines for systematic quantification of accuracy 40343 in watershed simulations 40344 SO TRANSACTIONS OF THE ASABE 40345 LA English 40346 DT Article 40347 DE accuracy; model calibration and validation; simulation; watershed model 40348 ID HYDROLOGIC-MODELS; SWAT MODEL; SENSITIVITY-ANALYSIS; RIVER-BASIN; 40349 QUALITY; CALIBRATION; VALIDATION; STREAMFLOW; FLOW; OPTIMIZATION 40350 AB Watershed models are powerful tools for simulating the effect of 40351 watershed processes and management on soil and water resources. 40352 However, no comprehensive guidance is available to facilitate model 40353 evaluation in terms of the accuracy of simulated data compared to 40354 measured flow and constituent values. Thus, the objectives of this 40355 research were to: (1) determine recommended model evaluation techniques 40356 (statistical and graphical), (2) review reported ranges of values and 40357 corresponding performance ratings for the recommended statistics, and 40358 (3) establish guidelines for model evaluation based on the review 40359 results and project-specific considerations; all of these objectives 40360 focus on simulation of streamflow and transport of sediment and 40361 nutrients. These objectives were achieved with a thorough review of 40362 relevant literature on model application and recommended model 40363 evaluation methods. Based on this analysis, we recommend that three 40364 quantitative statistics, Nash-Sutcliffe efficiency (NSE), percent bias 40365 (PBIAS), and ratio of the root mean square error to the standard 40366 deviation of measured data (RSR), in addition to the graphical 40367 techniques, be used in model evaluation. The following model evaluation 40368 performance ratings were established for each recommended statistic. In 40369 general, model simulation can be judged as satisfactory if NSE > 0.50 40370 and RSR <= 0.70, and if PBIAS +/- 25% for streamflow, PBIAS +/- 55% for 40371 sediment, and PBIAS +/- 70% for N and P. For PBIAS, 40372 constituent-specific performance ratings were determined based on 40373 uncertainty of measured data. Additional considerations related to 40374 model evaluation guidelines are also discussed. These considerations 40375 include: single-event simulation, quality and quantity of measured 40376 data, model calibration procedure, evaluation time step, and project 40377 scope and magnitude. A case study illustrating the application of the 40378 model evaluation guidelines is also provided. 40379 C1 USDA ARS, Grazinglands Res Lab, El Reno, OK 73036 USA. 40380 USDA ARS, Grassland Soil & Water Res Lab, Temple, TX 76502 USA. 40381 Water Qual Planning Bur, Montana Dept Environm Qual, Helena, MT USA. 40382 USDA ARS, Watershed Phys Proc Res Unit, Oxford, MS USA. 40383 USDA ARS, Pasture Syst & Watershed Management Res Unit, University Pk, PA USA. 40384 RP Moriasi, DN, USDA ARS, Grazinglands Res Lab, 7207 W Cheyenne St, El 40385 Reno, OK 73036 USA. 40386 EM dmoria-si@spa.ars.usda.gov 40387 CR *ACSE, 1993, J IRRIGATION DRAINAG, V119, P429 40388 *CEAP WAS, 2005, CONS EFF ASS PROJ WA 40389 *US EPA, 2002, EPA240R02007 40390 AMATYA DM, 2004, T ASAE, V47, P677 40391 ARNOLD JG, 1995, GROUND WATER, V33, P1010 40392 ARNOLD JG, 1998, J AM WATER RESOUR AS, V34, P1 40393 ARNOLD JG, 1999, J AM WATER RESOUR AS, V35, P411 40394 ARNOLD JG, 2000, J HYDROL, V227, P21 40395 BALASCIO CC, 1998, T ASAE, V41, P615 40396 BORAH DK, 2004, T ASAE, V47, P789 40397 BOYLE DP, 2000, WATER RESOUR RES, V36, P3663 40398 BRACMORT KS, 2006, T ASABE, V49, P367 40399 BRAZIL LE, 1988, THESIS COLORADO STAT 40400 CHU TW, 2004, T ASAE, V47, P1057 40401 DONIGIAN AS, 1983, AGR MANAGEMENT WATER, P200 40402 DUAN QY, 1993, J OPTIMIZ THEORY APP, V76, P501 40403 ENGEL B, 2007, IN PRESS J AM WAT RE 40404 ENGELMANN CJK, 2002, J AM WATER RESOUR AS, V38, P289 40405 FERNANDEZ GP, 2005, T ASAE, V48, P639 40406 GAN TY, 1996, WATER RESOUR RES, V32, P3513 40407 GAN TY, 1997, J HYDROL, V192, P81 40408 GUPTA HV, 1999, J HYDROL ENG, V4, P135 40409 HAAN CT, 1998, T ASAE, V41, P65 40410 HAMBY DM, 1994, ENVIRON MONIT ASSESS, V32, P135 40411 HARMEL RD, 2006, T ASABE, V49, P689 40412 ISUKAPALLI SS, 1999, THESIS STATE U NEW J 40413 LEGATES DR, 1999, WATER RESOUR RES, V35, P233 40414 MA L, 2000, T ASAE, V43, P883 40415 MOTOVILOV YG, 1999, AGR FOREST METEOROL, V98, P257 40416 NARASIMHAN B, 2005, T ASAE, V48, P1101 40417 NASH JE, 1970, J HYDROL, V10, P282 40418 PARKER R, 2006, J AM WATER RESOURCES 40419 PETERSON JR, 1998, J AM WATER RESOUR AS, V34, P531 40420 RAMANARAYANAN TS, 1997, 972209 ASAE 40421 RAMIREZ JA, 2000, INLAND FLOOD HAZARDS, CH11 40422 REFSGAARD JC, 1997, J HYDROL, V198, P69 40423 REYES MR, 2004, T ASAE, V47, P129 40424 SALEH A, 2000, T ASAE, V43, P1077 40425 SALEH A, 2004, T ASAE, V47, P1039 40426 SANDS GR, 2003, T ASAE, V46, P645 40427 SANTHI C, 2001, J AM WATER RESOUR AS, V37, P1169 40428 SEVAT E, 1991, HYDROLOG SCI J, V36, P307 40429 SHIRMOHAMMADI A, 2001, 012005 ASAE 40430 SINGH J, 2004, 200408 ISWS CR 40431 SINGH J, 2005, J AM WATER RESOUR AS, V41, P361 40432 SPRUILL CA, 2000, T ASAE, V43, P1431 40433 TAYLOR MM, 1967, J ACOUSTICAL SOCIETY, V41, P782 40434 TOPPING J, 1972, ERRORS OBSERVATION T 40435 VANGRIENSVEN A, 2003, WATER RESOUR RES, V39 40436 VANLIEW MW, 2003, T ASAE, V46, P1539 40437 VANLIEW MW, 2007, J HYDROL ENG, V12, P173 40438 VARANOU E, 2002, J HYDROL ENG, V7, P228 40439 VAZQUEZAMABILE GG, 2005, T ASAE, V48, P991 40440 WANG X, 2005, T ASAE, V48, P1359 40441 WILLMOTT CJ, 1981, PHYS GEOG, V2, P184 40442 WILLMOTT CJ, 1984, SPATIAL STAT MODELS, P443 40443 YAPO PO, 1998, J HYDROL, V204, P83 40444 YUAN YP, 2001, T ASAE, V44, P1183 40445 NR 58 40446 TC 0 40447 PU AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS 40448 PI ST JOSEPH 40449 PA 2950 NILES RD, ST JOSEPH, MI 49085-9659 USA 40450 SN 0001-2351 40451 J9 TRANS ASABE 40452 JI Trans. ASABE 40453 PD MAY-JUN 40454 PY 2007 40455 VL 50 40456 IS 3 40457 BP 885 40458 EP 900 40459 PG 16 40460 SC Agricultural Engineering 40461 GA 190CY 40462 UT ISI:000248036800021 40463 ER 40464 40465 PT J 40466 AU Birt, LN 40467 Persyn, RA 40468 Smith, PK 40469 AF Birt, L. N. 40470 Persyn, R. A. 40471 Smith, P. K. 40472 TI Evaluation of Texas compost specifications for stormwater erosion 40473 control 40474 SO TRANSACTIONS OF THE ASABE 40475 LA English 40476 DT Article 40477 DE best management practices; compost; construction; first flush; 40478 interrill erosion; runoff; sediment; stormwater; total suspended solids 40479 ID WATER-QUALITY; RUNOFF; RAINFALL; LOSSES 40480 AB Growing urbanization has led to increasing concern and emphasis on 40481 better construction site stormwater management. The objectives of this 40482 study were to determine the effectiveness of using compost rather than 40483 conventional hydroseeding or topsoil to reduce erosion from disturbed 40484 soils. The runoff rates, interrill erosion rates, and interrill 40485 erodibility factors from five compost and two control treatments 40486 (hydroseeding and topsoil) were compared. Compost treatments followed 40487 Texas Department of Transportation (TxDOT) specifications for compost 40488 applied as an erosion control at 1.3 and 5 cm depths. Rainfall 40489 simulation was used to apply a storm of 92 mm h(-1). Surface runoff was 40490 collected after 5 min of rainfall (first flush) and during the last 30 40491 min of rainfall (steady-state). The first flush mean runoff from the 5 40492 cm depth general-use compost treatment was significantly higher than 40493 that of all other treatments. The other treatments (50% woodchips and 40494 50% compost blend at 1.3 and 5 cm depths) and hydroseeding had 40495 significantly lower runoff and erosion rates compared to topsoil and 40496 compost manufactured topsoil at first flush and steady-state. 40497 Furthermore, there were no performance differences between 1.3 and 5 cm 40498 compost applications at first flush or steady-state. The TxDOT 40499 specification for erosion control compost depth might be able to be 40500 reduced from 5 to 1.3 cm. 40501 C1 Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47907 USA. 40502 S Dakota State Univ, Dept Agr & Biosyst Engn, Brookings, SD 57007 USA. 40503 Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA. 40504 RP Persyn, RA, Box 2120, Brookings, SD 57007 USA. 40505 EM persyn@sdstate.edu 40506 CR *AASHTO, 2003, M1003 AASHTO 40507 *APHA, 2004, STAND METH EX WAT WA 40508 *SPSS, 2003, SIGM PLOTS WIND VER 40509 *TEX ENV PROF, 2004, AGR URB SPRAWL 40510 *TMECC, 2001, TEST METH EX COMP C, CH2 40511 *USEPA, 1995, 530R95023 EPA, V2 40512 *USEPA, 1999, 530R95023 EPA 40513 ADAMS JE, 1966, SOIL SCI SOC AM J, V30, P110 40514 BIRT LB, 2007, THESIS TEXAS A M U 40515 BUCHANAN JR, 2002, APPL ENG AGRIC, V18, P679 40516 DEMARS K, 2000, TECHN REP PREP NEW E 40517 FAUCETTE LB, 2004, J SOIL WATER CONSERV, V59, P154 40518 FAUCETTE LB, 2005, J SOIL WATER CONSERV, V60, P288 40519 GIDDENS J, 1980, J ENVIRON QUAL, V9, P518 40520 GILLEY JE, 1998, T ASAE, V41, P1289 40521 GOLDMAN SJ, 1986, EROSION SEDIMENT CON 40522 KLADIVKO EJ, 1979, J WATER POLLUT CONTR, V51, P325 40523 MEYER LD, 1979, T ASAE, V22, P100 40524 MEYER VF, 2001, J ENVIRON QUAL, V30, P1528 40525 MUKHTAR S, 2004, 044079 ASAE CASE 40526 PERSYN RA, 2004, T ASAE, V47, P463 40527 RICHARD TL, 2003, 0022051 ASAE 40528 RISSE LM, 2003, P 9 INT AN AGR FOOD 40529 STOREY BB, 1996, 13522F TEX TRANS I 40530 ZHENG FL, 2004, J ENVIRON QUAL, V33, P2174 40531 NR 25 40532 TC 0 40533 PU AMER SOC AGRICULTURAL & BIOLOGICAL ENGINEERS 40534 PI ST JOSEPH 40535 PA 2950 NILES RD, ST JOSEPH, MI 49085-9659 USA 40536 SN 0001-2351 40537 J9 TRANS ASABE 40538 JI Trans. ASABE 40539 PD MAY-JUN 40540 PY 2007 40541 VL 50 40542 IS 3 40543 BP 955 40544 EP 960 40545 PG 6 40546 SC Agricultural Engineering 40547 GA 190CY 40548 UT ISI:000248036800028 40549 ER 40550 40551 PT J 40552 AU Grohe, M 40553 Koch, C 40554 Schweikardt, N 40555 AF Grohe, Martin 40556 Koch, Christoph 40557 Schweikardt, Nicole 40558 TI Tight lower bounds for query processing on streaming and external 40559 memory data 40560 SO THEORETICAL COMPUTER SCIENCE 40561 LA English 40562 DT Article 40563 DE data streams; external memory; lower bounds; machine models; XML query 40564 languages 40565 ID COMPLEXITY; AUTOMATA; LANGUAGES; TREES 40566 AB It is generally assumed that databases have to reside in external. 40567 inexpensive storage because of their sheer size. Current technology for 40568 external storage systems presents us with a reality that, 40569 performance-wise, a small number of sequential scans of the data is 40570 strictly preferable over random data accesses. Database technology - in 40571 particular query processing technology has developed around a notion of 40572 memory hierarchies with layers of greatly varying sizes and access 40573 times. It seems that the current technologies scale up to their tasks 40574 and are very successful, but on closer investigation it may appear that 40575 our theoretical understanding of the problems involved - and of optimal 40576 algorithms for these problems - is not quite as developed. 40577 Recently. data stream processing has become an object of study by the 40578 database management community, but from the viewpoint of database 40579 theory. this is really a special case of the query processing problem 40580 on data in external storage where we are limited to a single scan of 40581 the input data. 40582 In the present paper we study a clean machine model for external memory 40583 and stream processing. We establish tight bounds for the data 40584 complexity of Core XPath evaluation and filtering. We show that the 40585 number of scans of the external data induces a strict hierarchy (as 40586 long as internal memory space is sufficiently small, e.g., 40587 polylogarithmic in the size of the input). We also show that neither 40588 joins nor sorting are feasible if the product of the number r (n) of 40589 scans of the external memory and the size s (n) of the internal memory 40590 buffers is sufficiently small, i.e., of size o(n). (C) 2007 Published 40591 by Elsevier B.V 40592 C1 Humboldt Univ, Inst Informat, D-10099 Berlin, Germany. 40593 Univ Saarland, Database Grp, D-66041 Saarbrucken, Germany. 40594 RP Grohe, M, Humboldt Univ, Inst Informat, Unter Linden 6, D-10099 Berlin, 40595 Germany. 40596 EM grohe@informatik.hu-berlin.de 40597 koch@cs.uni-sb.de 40598 schweika@informatik.hu-berlin.de 40599 CR *WORLD WID WEB CON, 2002, XQUER 1 0 XPATH 2 0 40600 ABITEBOUL S, 1995, FDN DATABASES 40601 AGGARWAL G, 2004, P 44 ANN IEEE S FDN, P540 40602 ALON N, 1999, J COMPUT SYST SCI, V58, P137 40603 ARASU A, 2002, P 21 ACM SIGACT SIGM, P221 40604 BABCOCK B, 2002, P 21 ACM SIGACT SIGM, P1 40605 BARYOSSEF Z, 2004, P 23 ACM SIGACT SIGM, P177 40606 BARYOSSEF Z, 2005, P 24 ACM S PRINC DAT, P216 40607 BOAS PV, 1990, HDB THEORETICAL COMP, V1, P1 40608 BRUGGEMANNKLEIN A, 2001, HKUSTTCSC200105 40609 CHEN JE, 1991, SIAM J COMPUT, V20, P622 40610 DONER J, 1970, J COMPUTER SYSTEM SC, V4, P406 40611 DURIS P, 1987, INFORM COMPUT, V73, P1 40612 FRICK M, 2003, P 18 IEEE S LOG COMP, P188 40613 GOTTLOB G, 2002, P 28 INT C VER LARG, P95 40614 GOTTLOB G, 2003, PODS, P179 40615 GOTTLOB G, 2004, J ACM, V51, P74 40616 GRAEFE G, 1993, ACM COMPUT SURV, V25, P73 40617 GREEN TJ, 2003, LECT NOTES COMPUT SC, V2572, P173 40618 GROHE M, 2005, LECT NOTES COMPUT SC, V3580, P1076 40619 GROHE M, 2005, LECT NOTES COMPUT SC, V3623, P1 40620 GROHE M, 2005, P PODS 05, P238 40621 GROHE M, 2006, P PODS 06, P243 40622 HENZINGER M, 1999, DIMACS SERIES DISCR, V50, P107 40623 HERNICH A, 2006, REVERSAL COMPLEXITY 40624 HOPCROFT J, 1969, J ASSOC COMPUT MACH, V16, P168 40625 KOCH C, 2003, P VLDB 2003, P249 40626 KUSHILEVITZ E, 1997, COMMUNICATION COMPLE 40627 MARX M, 2005, LECT NOTES COMPUT SC, V3363, P114 40628 MEYER U, 2003, LNCS, V2625 40629 MUNRO JI, 1980, THEORET COMPUT SCI, V12, P315 40630 MUTHUKRISHNAN S, 2005, DATA STREAMS ALGORIT 40631 NEUMANN A, 1998, LECT NOTES COMPUT SC, V1530, P134 40632 NEVEN F, 1999, THESIS LIMBURGS U CE 40633 NEVEN F, 2000, P 19 S PRINC DAT SYS, P145 40634 NEVEN F, 2002, J ACM, V49, P56 40635 NEVEN F, 2002, SIGMOD RECORD, V31, P39 40636 NEVEN F, 2002, THEOR COMPUT SCI, V275, P633 40637 RAMAKRISHNAN R, 2002, DATABASE MANAGEMENT 40638 RAZBOROV AA, 1990, COMBINATORICA, V10, P81 40639 SEGOUFIN L, 2002, P 21 S PRINC DAT SYS, P53 40640 SEGOUFIN L, 2003, P 22 ACM SIGACT SIGM, P167 40641 THATCHER JW, 1968, MATH SYST THEORY, V2, P57 40642 THOMAS W, 1997, HDB FORMAL LANGUAGES, V3, P389 40643 VITTER JS, 2001, ACM COMPUT SURV, V33, P209 40644 YAO AC, 1979, P 11 ANN ACM S THEOR, P209 40645 NR 46 40646 TC 0 40647 PU ELSEVIER SCIENCE BV 40648 PI AMSTERDAM 40649 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 40650 SN 0304-3975 40651 J9 THEOR COMPUT SCI 40652 JI Theor. Comput. Sci. 40653 PD JUN 21 40654 PY 2007 40655 VL 380 40656 IS 1-2 40657 BP 199 40658 EP 217 40659 PG 19 40660 SC Computer Science, Theory & Methods 40661 GA 186GC 40662 UT ISI:000247766100014 40663 ER 40664 40665 PT J 40666 AU Paul, G 40667 Elam, B 40668 Verhulst, SJ 40669 AF Paul, Gina 40670 Elam, Barb 40671 Verhulst, Steven J. 40672 TI A longitudinal study of students' perceptions of using deep breathing 40673 meditation to reduce testing stresses 40674 SO TEACHING AND LEARNING IN MEDICINE 40675 LA English 40676 DT Article 40677 ID MEDICAL-STUDENTS; 1ST YEAR; ACADEMIC-PERFORMANCE; TEST ANXIETY; SCHOOL; 40678 HEALTH 40679 AB Background: Stress can impact student performance. Yet few medical 40680 schools provide students with a consistent opportunity to develop and 40681 regularly practice stress-reduction techniques to aid them 40682 academically. Description: A curriculum component designed to assist 64 40683 postbaccalaureate minority students in developing and practicing a 40684 stress-management technique was implemented on a regular basis from 40685 June 2004 to April 2006. Students participated in Deep Breathing 40686 Meditation exercises in two classes and completed pre-, post-, and 40687 follow-lip surveys each academic year. Evaluation: Students reported 40688 having perceptions of decreased test anxiety, nervousness, self doubt, 40689 and concentration loss, using the technique outside of the two classes, 40690 and believing it helped them academically and would help them as a 40691 physician. Conclusions: The Deep Breathing Meditation technique was 40692 successfully implemented each academic year, and it provided students 40693 with a promising solution for meeting challenging academic and 40694 professional situations. 40695 C1 So Illinois Univ, Sch Med, Med Dent Preparatory Program, Carbondale, IL 62901 USA. 40696 So Illinois Univ, Wellness Ctr, Carbondale, IL 62901 USA. 40697 RP Paul, G, So Illinois Univ, Sch Med, Med Dent Preparatory Program, 40698 Wheeler Hall,Mailcode 4323, Carbondale, IL 62901 USA. 40699 EM rpaul@siumed.edu 40700 CR *I HEARTMATH, 2002, INS STOR UND POW FEE 40701 *MAY CLIN, 2005, MAYO CLIN WOMEN 0701 40702 ADAMS J, 2004, MED EDUC, V38, P463 40703 AKTEKIN M, 2001, MED EDUC, V35, P12 40704 BENSON B, 2000, J RES DEV EDUC, V33, P156 40705 BENSON B, 2001, RELAXATION RESPONSE 40706 COOMBS RH, 1994, MED EDUC, V28, P47 40707 DEARY IJ, 1994, MED EDUC, V28, P55 40708 FIRTHCOZENS J, 2001, MED EDUC, V35, P6 40709 GALLAGHER TH, 2005, TEACH LEARN MED, V17, P80 40710 HALL PD, 1999, J BLACK STUD, V29, P408 40711 HARRIS HL, 2003, HELPING STUDENTS COP 40712 HEMBREE R, 1988, REV EDUC RES, V58, P47 40713 HORNEFFER K, WELLNESS MANAGEMENT 40714 KIESSLING C, 2004, MED EDUC, V38, P504 40715 KIRSCHBAUM C, 1996, LIFE SCI, V58, P1457 40716 LEE J, 2001, MED EDUC, V35, P652 40717 LUPIEN SJ, 1997, BRAIN RES REV, V24, P1 40718 LUPIEN SJ, 2000, ENCY STRESS, V2 40719 LUPIEN SJ, 2002, BIOL PSYCHIAT 40720 LUPIEN SJ, 2003, YEARBOOK SCI TECHNOL 40721 MATTHEWS D, 1987, J HUMANISTIC ED DEV, V25, P112 40722 MILLER PM, 1994, MED EDUC, V28, P5 40723 MOFFAT KJ, 2004, MED EDUC, V38, P482 40724 MORRISON J, 2001, MED EDUC, V35, P617 40725 MOSLEY TH, 1994, ACAD MED, V69, P765 40726 SANTANA S, 2005, AAMC REPORTER 0108 40727 SARASON IG, 1990, HDB SOCIAL EVALUATIO 40728 SCHUWIRTH L, 2004, MED EDUC, V38, P769 40729 SEAWARD B, 2002, MANAGING STRESS 40730 STECKER T, 2004, MED EDUC, V38, P465 40731 STEWART SM, 1997, MED EDUC, V31, P163 40732 STEWART SM, 1999, MED EDUC, V33, P243 40733 TOEWS JA, 1997, ACAD MED, V72, P997 40734 WOLF TM, 1988, AM J HEALTH PROMOT, V3, P33 40735 WOLF TM, 1994, MED EDUC, V28, P8 40736 WOLF TM, 1995, BR J MED PSYCHOL, V68, P85 40737 ZEIDNER M, 1990, J PERS ASSESS, V55, P145 40738 NR 38 40739 TC 0 40740 PU LAWRENCE ERLBAUM ASSOC INC-TAYLOR & FRANCIS 40741 PI PHILADELPHIA 40742 PA 325 CHESTNUT STREET, STE 800, PHILADELPHIA, PA 19106 USA 40743 SN 1040-1334 40744 J9 TEACH LEARN MED 40745 JI Teach. Learn. Med. 40746 PD SUM 40747 PY 2007 40748 VL 19 40749 IS 3 40750 BP 287 40751 EP 292 40752 PG 6 40753 SC Education, Scientific Disciplines; Health Care Sciences & Services 40754 GA 187LV 40755 UT ISI:000247850100012 40756 ER 40757 40758 PT J 40759 AU Halldorsson, A 40760 Kotzab, H 40761 Mikkola, JH 40762 Skjott-Larsen, T 40763 AF Halldorsson, Arni 40764 Kotzab, Herbert 40765 Mikkola, Juliana H. 40766 Skjott-Larsen, Tage 40767 TI Complementary theories to supply chain management 40768 SO SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL 40769 LA English 40770 DT Review 40771 DE supply chain management; product development 40772 ID RESOURCE-BASED-VIEW; COMPETITIVE ADVANTAGE; MASS CUSTOMIZATION; 40773 TRANSACTION COST; DYNAMIC CAPABILITIES; STRATEGIC MANAGEMENT; PRODUCT; 40774 POSTPONEMENT; PERSPECTIVE; PERFORMANCE 40775 AB Purpose - The paper seeks to discuss and develop SCM as a scientific 40776 discipline using different theories from non-logistics areas to explain 40777 interorganizational phenomena. it also attempts to establish a frame of 40778 reference that allows us to mitigate the gap between the current SCM 40779 research and practice and the theoretical explanations of how to 40780 structure and manage supply chains. 40781 Design/methodology/approach - The paper introduces three different 40782 perspectives that together will contribute to a broader understanding 40783 of SCM in practice: an economic perspective; a socio-economic 40784 perspective; and a strategic perspective. The theoretical framework is 40785 applied to two important research topics within SCM: third party 40786 logistics (TPL); and new product development (NPD). 40787 Findings - There is no such thing as "a unified theory of SCM". 40788 Depending on the concrete situation, one can choose one theory as the 40789 dominant explanatory theory, and then complement it with one or several 40790 of the other theoretical perspectives. 40791 Research limitations/implications - The way the four theories 40792 complement one another is explored on a conceptual basis, but further 40793 research into this direction may explore more deeply how these alleged 40794 complementarities occur in practice, and how managers mould their 40795 decisions by these ideas. 40796 Practical implications - The four theories can provide normative 40797 support to important management decisions in supply chains, such as 40798 outsourcing, safeguards against opportunism, and alignment of 40799 incentives. 40800 Originality/value - The main contribution is that one cannot rely on 40801 one theoretical explanation when analyzing phenomena in SCM. It is 40802 neccessary to consider several theories and how they may complement one 40803 another in order to provide a more comprehensive view of SCM. 40804 C1 Copenhagen Sch Econ & Business Adm, Dept Operat Management, Frederiksberg, Denmark. 40805 Univ Southampton, Sch Management, Southampton, Hants, England. 40806 Univ Reykjavik, Reykjavik, Iceland. 40807 RP Skjott-Larsen, T, Copenhagen Sch Econ & Business Adm, Dept Operat 40808 Management, Frederiksberg, Denmark. 40809 EM tsl.om@cbs.dk 40810 CR AKKERMANS H, 1999, INT J OPER PROD MAN, V19, P565 40811 ALDERSON W, 1957, MARKETING BEHAV EXEC 40812 ANDERSON KS, 2002, MULTIBODY SYST DYN, V8, P1 40813 ANDERSSON D, 1997, THESIS LINKOPING U L 40814 ARLBJOERN JS, 2002, INT J PHYS DISTRIB, V31, P22 40815 BAIMAN S, 2002, ACCOUNT ORG SOC, V27, P213 40816 BALLOU RH, 2000, IND MARKET MANAG, V29, P7 40817 BARNEY JB, 1999, SLOAN MANAGE REV, V40, P137 40818 BECHTEL C, 1997, INT J LOGISTICS MANA, V8, P15 40819 BENSAOU M, 1999, SLOAN MANAGE REV, V40, P35 40820 BERGLUND M, 1999, INT J LOGISTICS MANA, V10, P59 40821 BOARDMAN JT, 2001, INT J OPER PROD MAN, V21, P795 40822 BOVET D, 2000, VALUE NETS BREAKING 40823 BRADACH JL, 1989, ANNU REV SOCIOL, V15, P97 40824 BRUCE M, 2004, INT J OPER PROD MAN, V24, P151 40825 CARR AS, 2002, INT J OPER PROD MAN, V22, P1032 40826 CHANDRASHEKAR A, 1999, INT J LOGISTICS MANA, V10, P27 40827 CHEN CC, 2001, BOT BULL ACAD SINICA, V42, P1 40828 CHEN IJ, 2004, J OPER MANAG, V22, P119 40829 CHRISTOPHER M, 1998, LOGISTICS SUPPLY CHA 40830 CHRISTY DP, 1994, INT J PROD ECON, V36, P233 40831 CIGOLINI R, 2004, INT J OPER PROD MAN, V24, P7 40832 COASE RH, 1937, ECONOMICA, V4, P386 40833 COMBS JG, 1999, STRATEGIC MANAGEMENT, V20, P876 40834 COOPER MC, 1990, INT J LOGISTICS MANA, V1, P1 40835 COOPER MC, 1997, INT J LOGISTICS MANA, V8, P1 40836 COUSINS PD, 2005, INT J OPER PROD MAN, V25, P403 40837 COX A, 2001, J SUPPLY CHAIN MANAG, V37, P28 40838 CROOM S, 2000, EUROPEAN J PURCHASIN, V6, P67 40839 CROOM S, 2001, INT J OPER PROD MAN, V21, P504 40840 CROXTON KL, 2001, INT J LOGISTICS MANA, V12, P13 40841 DAVIS EW, 2004, EXTENDED ENTERPRISE 40842 DOWSLATSHAHI S, 1998, INT J OPER PROD MAN, V18, P143 40843 DURAY R, 2000, J OPER MANAG, V18, P605 40844 DYER JH, 1998, CALIF MANAGE REV, V40, P57 40845 EATSON G, 1993, P 9 IMP IND MARK PUR 40846 EISEN SV, 1989, MCLEAN HOSP J, V14, P1 40847 EISENHARDT KM, 2000, STRATEGIC MANAGE J, V21, P1105 40848 ERNST R, 2000, EUR J OPER RES, V124, P495 40849 FEITZINGER E, 1997, HARVARD BUS REV, V75, P116 40850 FINE CH, 2000, PROD OPER MANAG, V9, P213 40851 FISHER ML, 1997, HARVARD BUS REV, V75, P105 40852 FRAZIER GL, 1999, J ACAD MARKET SCI, V27, P226 40853 GADDE LE, 2001, SUPPLY NETWORK STRAT 40854 GANESHAN R, 1998, QUANTITATIVE MODELS, P879 40855 GOBEL E, 2002, NEUE I KONZEPTION BE 40856 GRANT RM, 1991, CALIF MANAGE REV, V33, P114 40857 HAAKANSSON H, 1999, IND MARKET MANAG, V28, P443 40858 HAAKANSSON H, 2002, J BUS RES, V55, P133 40859 HAAKASSON H, 1987, IND TECHNOLOGICAL DE 40860 HAAKASSON H, 1995, DEV RELATIONSHIPS BU 40861 HALLDORSSON A, 2002, THESIS COPENHAGEN BU 40862 HALLORSSON A, 2004, INT J OPER PROD MAN, V24, P192 40863 HANDFIELD RB, 1998, J OPER MANAG, V16, P321 40864 HANDFIELD RB, 2002, SUPPLY CHAIN REDESIG 40865 HARLAND CM, 1996, BRIT J MANAGE, V7, P63 40866 HARLAND CM, 2001, INT J OPER PROD MAN, V21, P476 40867 HEIKKILA J, 2002, J OPER MANAG, V20, P747 40868 HERTZ S, 2003, IND MARKET MANAG, V32, P139 40869 HSUAN J, 1999, EUROPEAN J PURCHASIN, V5, P197 40870 JAP SD, 2001, INT J RES MARK, V18, P19 40871 JOHANSEN J, 2005, INT J OPER PROD MAN, V25, P202 40872 JOHANSON J, 1987, INT STUDIES MANAGEME, V17, P34 40873 KETCHEN DJ, 2004, IND MARKET MANAG, V33, P51 40874 LAMBERT DM, 1998, INT J LOGISTICS MANA, V9, P1 40875 LAMBERT DM, 2005, J BUSINESS LOGISTICS, V26, P25 40876 LAMMING R, 1996, INT J OPER PROD MAN, V16, P183 40877 LANGLOIS RN, 1992, RES POLICY, V21, P297 40878 LARSON PD, 2001, INT J LOGISTICS RES, V4, P191 40879 LARSON PD, 2004, INT J LOGISTICS RES, V7, P17 40880 LEE HL, 1993, PERSPECTIVES OPERATI, P45 40881 LEWIS MA, 2000, INT J OPER PROD MAN, V20, P959 40882 LOGAN MS, 2000, INT J LOGISTICS MANA, V11, P21 40883 MAALOEE E, 1977, CASE STUDIES OG OM M 40884 MACNEIL I, 1980, NEW SOCIAL CONTRACT 40885 MADHOK A, 2002, STRATEGIC MANAGE J, V23, P535 40886 MALTZ A, 1993, TRANSPORT J, V32, P46 40887 MEARSYOUNG B, 1997, OMEGA-INT J MANAGE S, V25, P605 40888 MENTZER JT, 2001, J BUSINESS LOGISTICS, V22, P1 40889 MENTZER JT, 2004, INT J PHYS DISTRIB, V34, P606 40890 MIKKOLA JH, 2003, 022003 COP BUS SCH D 40891 MIKKOLA JH, 2003, R&D MANAGE, V33, P439 40892 MIKKOLA JH, 2003, THESIS COPENHAGEN BU 40893 MIKKOLA JH, 2004, PROD PLAN CONTROL, V15, P352 40894 MILLER SR, 2003, INT J OPER PROD MAN, V23, P1062 40895 MIN S, 2004, J BUSINESS LOGISTICS, V25, P63 40896 MOMME J, 2000, INT J LOGISTICS RES, V3, P127 40897 MONCZKA RM, 1997, PURCHASING, V122, P69 40898 NARAYANAN V, 2004, HARVARD BUS REV, V82, P94 40899 NELSON RR, 1982, EVOLUTIONARY THEORY 40900 NEW S, 2004, UNDERSTANDING SUPPLY 40901 NEW SJ, 1997, SUPPLY CHAIN MANAG, V2, P15 40902 OLAVARRIETA S, 1997, INT J PHYS DISTRIB, V27, P559 40903 OLIVER C, 1990, ACAD MANAGE REV, V15, P241 40904 OLIVER R, 1982, LOGISTICS STRATEGIC 40905 PAGH JD, 1998, J BUSINESS LOGISTICS, V19, P13 40906 PANDZA K, 2003, INT J OPER PROD MAN, V23, P822 40907 PENROSE E, 1959, THEORY GROWTH FIRM 40908 PERSSON U, 1997, THESIS LULEA U TECHN 40909 PFEFFER J, 1978, EXTERNAL CONTROL ORG 40910 PICOT A, 2001, GRENZENLOSE UNTERNEH 40911 PINE J, 1993, MASS CUSTOMIZATION N 40912 PRAHALAD CK, 1990, HARVARD BUS REV, V68, P79 40913 RAGATZ GL, 1997, J PROD INNOVAT MANAG, V14, P190 40914 RINDFLEISCH A, 1997, J MARKETING, V61, P30 40915 ROMANO P, 2001, INT J OPER PROD MAN, V21, P446 40916 RUDBERG M, 2003, OMEGA-INT J MANAGE S, V31, P29 40917 RUNGTUSANATHAM M, 2003, INT J OPER PROD MAN, V23, P1084 40918 SALVADOR F, 2001, INT J OPER PROD MAN, V21, P457 40919 SALVADOR F, 2002, J OPER MANAG, V20, P549 40920 SANCHEZ R, 1996, STRATEGIC MANAGE J, V17, P63 40921 SKJOETTLARSEN T, 2000, INT J PHYS DISTRIB, V30, P112 40922 SKJOTTLARSEN T, 1999, INT J LOGISTICS MANA, V10, P41 40923 SRIVASTAVA RK, 1999, J MARKETING, V63, P168 40924 STERN LW, 1980, J MARKETING, V44, P52 40925 STUART FI, 1996, INT J OPER PROD MAN, V16, P5 40926 SVENSSON G, 2002, INT J PHYS DISTRIB, V32, P734 40927 TAN KC, 1999, INT J OPER PROD MAN, V19, P1034 40928 TAN KC, 2002, INT J OPER PROD MAN, V22, P614 40929 TEECE DJ, 1986, RES POLICY, V15, P285 40930 TEECE DJ, 1997, STRATEGIC MANAGE J, V18, P509 40931 VANHOEK RI, 2001, J OPER MANAG, V19, P161 40932 WASTI SN, 1997, J PROD INNOVAT MANAG, V14, P337 40933 WILK ED, 2003, INT J OPER PROD MAN, V23, P995 40934 WILLIAMSON O, 1975, MARKETS HIERARCHIES 40935 WILLIAMSON O, 1985, EC I CAPITALISM FIRM 40936 WILLIAMSON O, 1996, MECH GOVERNANCE 40937 WILLIAMSON O, 1999, STRATEGIC MANAGEMENT, V20, P1089 40938 WYNSTRA F, 2001, EUROPEAN MANAGEMENT, V19, P157 40939 NR 129 40940 TC 0 40941 PU EMERALD GROUP PUBLISHING LIMITED 40942 PI BRADFORD 40943 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 40944 SN 1359-8546 40945 J9 SUPPLY CHAIN MANAG 40946 JI Supply Chain Manag. 40947 PY 2007 40948 VL 12 40949 IS 4 40950 BP 284 40951 EP 296 40952 PG 13 40953 SC Business; Management 40954 GA 188NU 40955 UT ISI:000247927400007 40956 ER 40957 40958 PT J 40959 AU Aramyan, LH 40960 Lansink, AGJMO 40961 van der Vorst, JGAJ 40962 van Kooten, O 40963 AF Aramyan, Lusine H. 40964 Lansink, Alfons G. J. M. Oude 40965 van der Vorst, Jack G. A. J. 40966 van Kooten, Olaf 40967 TI Performance measurement in agri-food supply chains: a case study 40968 SO SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL 40969 LA English 40970 DT Article 40971 DE food industry; supply chain management; performance measurement 40972 (quality); case study 40973 AB Purpose - Measurement of the performance of entire supply chains is an 40974 important issue because it allows for "tracking and tracing" of 40975 efficacy and efficiency failures and leads to more informed decision 40976 making with regard to chain design. However, the choice of appropriate 40977 supply chain performance indicators is rather complicated due to the 40978 presence of multiple inputs and multiple outputs in the system. 40979 Therefore, this paper aims to evaluate the usefulness of a novel 40980 conceptual model for supply chain performance measurement in an 40981 agri-food supply chain. 40982 Design/methodology/approach - A conceptual model for integrated supply 40983 chain performance measurement is evaluated in a Dutch-German tomato 40984 supply chain by means of a case study approach. 40985 Findings - The proposed conceptual framework is found to be useful for 40986 measuring performance of the tomato supply chain. From the case study 40987 it is concluded that four main categories of performance measures (i.e. 40988 efficiency, flexibility, responsiveness, and food quality) are 40989 identified as key performance components of the tomato supply chain 40990 performance measurement system. 40991 Originality/value - This research evaluates a novel concept for 40992 measuring the performance of agri-food supply chains. This concept is 40993 the first step in developing an integrated performance measurement 40994 system that contains financial as well as non-financial indicators 40995 combined with the specific characteristics of agri-food supply chains. 40996 Based on a case study in the tomato supply chain, this concept is found 40997 to have potential. 40998 C1 Wageningen Univ, Wageningen, Netherlands. 40999 RP Aramyan, LH, Wageningen Univ, Wageningen, Netherlands. 41000 EM Lusine.Aramyan@wur.nl 41001 CR ARAMYAN L, 2006, QUANTIFYING AGRIFOOD, P47 41002 BEAMON BM, 1998, INT J PROD ECON, V55, P281 41003 BEAMON BM, 1999, INT J OPER PROD MAN, V19, P275 41004 BEAMON BM, 1999, LOGISTICS INFORMATIO, V12, P332 41005 BERRY L, 2006, GREAT SERVICE FRAMEW 41006 BITITCI US, 1997, INT J OPER PROD MAN, V17, P522 41007 BOWERSOX DJ, 1996, LOGISTICAL MANAGEMEN 41008 BUNTE F, 1998, 163 DUTCH AGR EC I 41009 CHRISTOPHER MG, 1998, LOGISTICS SUPPLY CHA 41010 CHURCHILL GA, 1999, MARKETING RES METHOD 41011 GUNASEKARAN A, 2001, INT J OPER PROD MAN, V21, P71 41012 HOBBS JE, 1996, SUPPLY CHAIN MANAG, V1, P15 41013 KANO N, 1984, J JAPANESE SOC QUALI, V14, P39 41014 LAI KH, 2002, TRANSPORT RES E-LOG, V38, P439 41015 LEE HL, 1992, SLOAN MANAGE REV, V33, P65 41016 LI D, 1999, INT J PROD ECON, V59, P147 41017 LUNING PA, 2002, FOOD QUALITY MANAGEM 41018 PERSSON F, 2002, INT J PROD ECON, V77, P231 41019 ROSENAU MD, 1996, PDMA HDB NEW PRODUCT 41020 SIMONS R, 2000, PERFORMANCE MEASUREM 41021 VALEEV NI, 2005, THESIS WAGENINGEN U 41022 VANDERSPIEGEL M, 2004, THESIS WAGENINGEN U 41023 VANDERVORST JGA, 2000, THESIS WAGENING U WA 41024 VANDERVORST JGA, 2005, QUANTIFYING AGRIFOOD, P13 41025 VANHOEK RI, 1998, SUPPLY CHAIN MANAG, V3, P187 41026 WIJNANDS JH, 2006, QUANTIFYING AGRIFOOD 41027 WOMACK J, 2002, SEEING WHOLE MAPPING 41028 YIN RK, 2003, CASE STUDY RES DESIG 41029 NR 28 41030 TC 0 41031 PU EMERALD GROUP PUBLISHING LIMITED 41032 PI BRADFORD 41033 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 41034 SN 1359-8546 41035 J9 SUPPLY CHAIN MANAG 41036 JI Supply Chain Manag. 41037 PY 2007 41038 VL 12 41039 IS 4 41040 BP 304 41041 EP 315 41042 PG 12 41043 SC Business; Management 41044 GA 188NU 41045 UT ISI:000247927400009 41046 ER 41047 41048 PT J 41049 AU Mears, RJ 41050 AF Mears, Robert J. 41051 TI Tackling power/performance trade-offs with silicon channel engineering 41052 SO SOLID STATE TECHNOLOGY 41053 LA English 41054 DT Article 41055 AB The silicon industry is facing unprecedented problems in power 41056 management, particularly static power, while the demand for increased 41057 performance remains unabated. It is likely that techniques at every 41058 level, from architectural changes to materials advances, will be 41059 required to mitigate these problems. Engineering the electronic 41060 properties of the silicon channel, while preserving the integrity of 41061 the silicon-silica interface, offers considerable benefits of reduced 41062 power and enhanced performance in a cost-effective, fab-friendly manner. 41063 C1 MEARS Technol, Waltham, MA 02451 USA. 41064 RP Mears, RJ, MEARS Technol, 1100 Winter st, Waltham, MA 02451 USA. 41065 EM robert.mears@mearstechnologies.com 41066 CR CARLTON J, 2006, WALL STREET J 1221 41067 NR 1 41068 TC 0 41069 PU PENNWELL PUBL CO 41070 PI NORTHBROOK 41071 PA P O BOX 3284, NORTHBROOK, IL 60065-3284 USA 41072 SN 0038-111X 41073 J9 SOLID STATE TECHNOL 41074 JI Solid State Technol. 41075 PD JUL 41076 PY 2007 41077 VL 50 41078 IS 7 41079 BP 95 41080 EP 97 41081 PG 3 41082 SC Engineering, Electrical & Electronic; Physics, Applied; Physics, 41083 Condensed Matter 41084 GA 193IQ 41085 UT ISI:000248268100013 41086 ER 41087 41088 PT J 41089 AU Zunino, C 41090 Pompili, I 41091 Sanna, A 41092 Ciminiera, L 41093 AF Zunino, C. 41094 Pompili, I. 41095 Sanna, A. 41096 Ciminiera, L. 41097 TI A brokerage system for solar data archives 41098 SO SOFTWARE-PRACTICE & EXPERIENCE 41099 LA English 41100 DT Article 41101 DE distributed systems; data brokerage; service composition; large 41102 archives mana-gement 41103 AB Scientific research and practical applications of solar physics require 41104 data and computational services to be integrated seamlessly and 41105 efficiently. The European Grid for Solar Observations (EGSO) leverages 41106 Grid-oriented concepts and technology to provide a high-performance 41107 infrastructure for solar applications. In this paper, an architecture 41108 for a data brokerage service is proposed. Brokers interact with 41109 providers and consumers in order to build a profile of both parties. In 41110 particular, a broker interacts with providers in order to gather 41111 information on the data potentially available to consumers, and with 41112 the consumers in order to identify the set of providers that are most 41113 likely to satisfy specific data needs. The brokerage technique is based 41114 on a multi-tier management of metadata. Copyright (C) 2006 John Wiley & 41115 Sons, Ltd. 41116 C1 IEIIT CNR, I-10129 Turin, Italy. 41117 Politecn Turin, Dipartimento Automat & Informat, I-10129 Turin, Italy. 41118 RP Zunino, C, IEIIT CNR, CSo Duca Abruzzi 24, I-10129 Turin, Italy. 41119 EM claudio.zunino@polito.it 41120 CR ABRAMSON D, 2002, FUTURE GENER COMP SY, V18, P1061 41121 ALOISIO G, 2003, P ITCC 2003, P432 41122 ANDROUTSELLISTH.SA, 2002, WHITE PAPER 41123 BAKER M, 2005, COMPUTER, V38, P43 41124 BARU C, 1998, P 1998 IBM CTR ADV S 41125 BUYYA R, 2000, P 4 INT C HIGH PERF 41126 CLARKE I, 2000, P WORKSH DES ISS AN 41127 CURBERA F, 2002, IEEE INTERNET COMPUT, V6, P86 41128 FOSTER I, 2001, LECT NOTES COMPUTER, V2150 41129 FOSTER I, 2002, P 14 INT C SCI STAT, P37 41130 FREY J, 2001, P 10 IEEE S HIGH PER, P55 41131 RATNASAMY S, 2001, P ACM SIGCOMM, P161 41132 ROWSTRON A, 2001, P IFIP ACM INT C DIS 41133 ROY J, 2001, IT PROFESSIONAL, V3, P69 41134 SANNA A, 2005, FUTURE GENER COMP SY, V21, P349 41135 SAROIU S, 2003, MULTIMEDIA SYST, V9, P170 41136 STEELE RA, 2003, P INT C INF TECHN CO, P248 41137 STOCKINGER H, 2003, P 2003 C COMP HIGH E 41138 STOICA I, 2001, P ACM SIGCOMM, P149 41139 VENUGOPAL S, 2004, P 2 WORKSH MIDDL GRI, P75 41140 VENUGOPAL S, 2006, ACM COMPUTING SURVEY, V38 41141 WAN M, 2003, P 20 IEEE 11 NASA GO, P20 41142 NR 22 41143 TC 0 41144 PU JOHN WILEY & SONS LTD 41145 PI CHICHESTER 41146 PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND 41147 SN 0038-0644 41148 J9 SOFTWARE-PRACT EXP 41149 JI Softw.-Pract. Exp. 41150 PD JUL 10 41151 PY 2007 41152 VL 37 41153 IS 8 41154 BP 881 41155 EP 896 41156 PG 16 41157 SC Computer Science, Software Engineering 41158 GA 187HB 41159 UT ISI:000247837100004 41160 ER 41161 41162 PT J 41163 AU Chen, MC 41164 Lin, CL 41165 Chen, AP 41166 AF Chen, Mei-Chih 41167 Lin, Chang-Li 41168 Chen, An-Pin 41169 TI Constructing a dynamic stock portfolio decision-making assistance 41170 model: using the Taiwan 50 Index constituents as an example 41171 SO SOFT COMPUTING 41172 LA English 41173 DT Article 41174 DE classifier system; real number encoding; dynamic stock portfolio; 41175 capital allocation 41176 ID MARKET; VOLUME 41177 AB There are several decisions in investment management process. Security 41178 selection is the most time-consurning stage. Tatical allocation is in 41179 order to take advantage of market opportunities based on short-term 41180 prediction (Amenc and Le Sourd in Portfolio theory and performance 41181 analysis. Wiley, 2003). Although it is difficult to keep track of the 41182 fluctuations of volatile financial markets, the capacity of artificial 41183 intelligence to perform spatial search and obtain feasible solutions 41184 has led to its recent widespread adoption in the resolution of 41185 financial problems. Classifier systems possess a dynamic learning 41186 mechanism, they can be used to constantly explore environmental 41187 conditions, and immediately provide appropriate decisions via 41188 self-aware learning. This study consequently employs a classifier 41189 system in conjunction with real number encoding to investigate how to 41190 obtain optimal stock portfolio based on investor adjustment cycle. We 41191 examine the constituents of the TSEC Taiwan 50 Index taking moving 41192 average (MA), stochastic indicators (KD), moving averaae convergence 41193 divergence (MACD), relative strength index (RSI) and Williams %R (WMS 41194 %R) as input factors, adopting investor-determined adjustment cycle to 41195 allocate capital, and then constructing stock portfolio. We have 41196 conducted empirical testing using weekly and monthly adjustment cycle; 41197 the results revealed that this study's decision-making assistance model 41198 yields average annual interest rate of 49.35%, which is significantly 41199 better than the -6.59% of a random purchase model. This research 41200 indicates that a classifier system can effectively monitor market 41201 fluctuations and help investors obtain relatively optimal returns. The 41202 assistance model proposed in this study thus can provide really helpful 41203 decision-making information to investors. 41204 C1 Natl Chiao Tung Univ, Inst Informat Management, Hsinchu, Taiwan. 41205 Minghsin Univ Sci & Technol, Dept Informat Management, Hsinchu, Taiwan. 41206 RP Chen, MC, Natl Chiao Tung Univ, Inst Informat Management, Hsinchu, 41207 Taiwan. 41208 EM mindy.must@gmail.com 41209 changli.lin@gmail.com 41210 apc@iim.nctu.edu.tw 41211 CR AMENC N, 2003, PORTFOLIO THEORY PER 41212 ARSHANAPALLI B, 2001, J PORTFOLIO MANAGE, V27, P27 41213 BARRY AM, 2004, DATA MINING USING LE 41214 BELTRAMETTI L, 1997, J ECON DYN CONTROL, V21, P1543 41215 BLUME L, 1994, J FINANC, V49, P153 41216 BUTZ MV, 2002, ALGORITHMIC DESCRIPT 41217 CARSE B, 1996, FUZZY SET SYST, V80, P273 41218 CHAN MC, 2002, LECT NOTES COMPUT SC, V2412, P403 41219 GENCAY R, 1998, J FORECASTING, V17, P401 41220 HENSEL CR, 1991, FINANCIAL ANAL J, V47, P65 41221 HOLLAND JH, 1977, ACM SIGART B, V49 41222 HUANG KD, 2002, SUN YATSEN MANAG REV, V10, P651 41223 JAHNKE WW, 1997, J FINANCIAL PLANNING, V10, P109 41224 KENDALL G, 2005, PROCESSING ARTIFICIA 41225 LIAO PY, 2001, P 2001 C EV COMP, V2, P783 41226 LOIACONO D, 2004, THESIS POLITECNICO M 41227 MARK, 1991, TECHN ANAL STOCKS CO, V9, P18 41228 MICHAUD R, 2002, INTRO RESAMPLED EFFI 41229 MICHAUD R, 2004, WHY MEAN VARIANCE OP 41230 OBERUC RE, 2003, DYNAMIC PORTFOLIO TH 41231 PAWLEY MG, 2005, P BIENN 2005 C EC SO 41232 PRUITT SW, 1988, J PORTFOLIO MANAGE, P55 41233 SCHULENBURG S, 2002, LECT NOTES ARTIF INT, V2321, P150 41234 SOROS G, 1994, ALCHEMY FINANCE READ 41235 VENUGOPAL MS, 2004, J FINANC MANAG ANAL, V17, P45 41236 WILSON SW, 1995, EVOLUT COMPUT, V3 41237 WILSON SW, 2000, LECT NOTES ARTIF INT, V1813, P209 41238 NR 27 41239 TC 0 41240 PU SPRINGER 41241 PI NEW YORK 41242 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 41243 SN 1432-7643 41244 J9 SOFT COMPUT 41245 JI Soft Comput. 41246 PD OCT 41247 PY 2007 41248 VL 11 41249 IS 12 41250 BP 1149 41251 EP 1156 41252 PG 8 41253 SC Computer Science, Artificial Intelligence; Computer Science, 41254 Interdisciplinary Applications 41255 GA 196TO 41256 UT ISI:000248505300006 41257 ER 41258 41259 PT J 41260 AU Yoon, SJ 41261 Choi, DC 41262 Park, JW 41263 AF Yoon, Sung-Joon 41264 Choi, Dong-Choon 41265 Park, Jong-Won 41266 TI Service orientation: Its impact on business performance in the medical 41267 service industry 41268 SO SERVICE INDUSTRIES JOURNAL 41269 LA English 41270 DT Article 41271 ID MARKET ORIENTATION; CUSTOMER SATISFACTION; JOB-SATISFACTION; QUALITY; 41272 CONSEQUENCES; ORGANIZATION; PERCEPTIONS; ANTECEDENTS; ENVIRONMENT; 41273 MANAGEMENT 41274 AB From the viewpoint of internal marketing, employees who are content in 41275 their job may be motivated to satisfy their customers better than ones 41276 who are not content. Another relevant premise is that the content 41277 employees, because of their work motivation, would eventually help 41278 improve the performance of their firm. To verify these relationships, 41279 some previous studies looked into the effects of organisational service 41280 orientation on employee's satisfaction. But only few of them 41281 investigated the mediating effects of variables such as service value 41282 and customer orientation for their role in linking service orientation 41283 to business performance. This study examines how an organisation's 41284 service orientation had an effect on its performance at hospitals. For 41285 this purpose, verification of the mediating role of service value 41286 perceived by employees as well as the role of customer orientation on 41287 the firm's performance was attempted. For this study, a total of 292 41288 usable questionnaires were collected from hospital staffs located in 41289 metropolitan cities of Korea. The hypotheses concerning relationships 41290 among service orientation, service value, employee satisfaction and 41291 customer orientation were verified by covariance structural modelling, 41292 using SPSS 10.0 and AMOS 4.0 programs. The result is as follows. First, 41293 organisational service orientation had a positive effect on both 41294 employee satisfaction and service value perceived by hospital staff. 41295 Second, employee satisfaction had a positive impact on service value 41296 and customer orientation. Finally, service value as well as employee's 41297 customer orientation were found to exert positive influence on the 41298 medical firm's performance. 41299 C1 Kyonggi Univ, Div Business Adm, Seoul, South Korea. 41300 Bucheon Univ, Dept Business Adm, Puchon, South Korea. 41301 Suwon Womens Univ, Dept E Commerce, Suwon, South Korea. 41302 RP Yoon, SJ, Kyonggi Univ, Div Business Adm, Choongjongro 2Ga, Seoul, 41303 South Korea. 41304 EM yoons@hanafos.com 41305 choi0812@dreamwiz.com 41306 jesgold@hanmail.net 41307 CR ALBRECHT K, 1985, SERVICE AM DOING BUS 41308 BENOY JW, 1996, J HEATH CARE MARKET, V16, P54 41309 BERRY LL, 1994, ACAD MANAGEMENT EXEC, V8, P32 41310 BETTENCOURT LA, 1997, J RETAILING, V73, P39 41311 BITNER MJ, 1990, J MARKETING, V54, P71 41312 BOLTON RN, 1991, J CONSUM RES, V17, P375 41313 BOWEN D, 1988, RES ORG BEHAV, V10 41314 BROWN KA, 1993, HUM RELAT, V46, P725 41315 BROWN SP, 1993, J MARKETING RES, V30, P63 41316 CHOI GS, 2000, THESIS YONSEI U 41317 CHURCH AH, 1995, MANAGING SERVICE QUA, V5, P26 41318 CRONIN JJ, 2000, J RETAILING, V76, P193 41319 DESHPANDE R, 1993, J MARKETING, V57, P23 41320 DIENHART JR, 1990, 1991 ANN C COUNC HOT 41321 ETTINGER WH, 1998, J AM GERIATR SOC, V46, P111 41322 FORNELL C, 1992, J MARKETING, V55, P1 41323 GEORGE WR, 1991, AMA HDB MARKETING SE, P85 41324 GOODING S, 1995, J HEATH CARE MARKET, V15, P24 41325 HAIR JF, 1998, MULTIVARIATE DATA AN 41326 HALLOWELL RL, 1996, HUMAN RESOURCE PLANN, V19, P206 41327 HARTLINE MD, 1996, J MARKETING, V60, P52 41328 HESKETT J, 1997, SERVICE PROFIT CHAIN 41329 HOFFMAN KD, 1991, J HLTH CARE MARK, V11, P24 41330 HOGAN J, 1984, J APPL PSYCHOL, V69, P167 41331 JAWORSKI BJ, 1993, J MARKETING, V57, P53 41332 JOHNSON JW, 1996, PERS PSYCHOL, V49, P831 41333 KOHLI AK, 1990, J MARKETING, V54, P1 41334 KOTTER J, 1992, CORPORATE CULTURE PE 41335 LEE H, 1999, MOL CELL, V4, P1 41336 LYTLE RS, 1994, THESIS ARIZONA STATE 41337 LYTLE RS, 1998, J RETAILING, V74, P455 41338 NARVER JC, 1990, J MARKETING, V54, P20 41339 OCONNOR SJ, 1995, HOSP HEALTH SERV ADM, V40, P535 41340 REICHHELD FF, 1990, HARVARD BUS REV, V68, P105 41341 SCHLESINGER LA, 1991, HUMAN RESOURCE PLANN, V14, P141 41342 SCHNEIDER B, 1980, ORGAN DYN, V9, P52 41343 SCHNEIDER B, 1993, ORGAN DYN, V21, P39 41344 SEO CJ, 2000, STUDY QUALITY MANAGE, V28, P161 41345 SIGUAW JA, 1994, J MARKETING RES, V31, P106 41346 SIRDESHMUKH D, 2002, J MARKETING, V66, P15 41347 SLATER SF, 1994, J MARKETING, V58, P46 41348 ULRICH D, 1991, HUMAN RESOURCE PLANN, V14, P89 41349 WILEY JW, 1991, HUMAN RESOURCE PLANN, V14, P117 41350 WILLIAMS MR, 1992, THESIS OKLAHOMA STAT 41351 ZEITHAML V, 1997, SERVICES MARKETING 41352 ZEITHAML VA, 1988, J MARKETING, V52, P2 41353 NR 46 41354 TC 0 41355 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 41356 PI ABINGDON 41357 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 41358 SN 0264-2069 41359 J9 SERV IND J 41360 JI Serv. Ind. J. 41361 PY 2007 41362 VL 27 41363 IS 4 41364 BP 371 41365 EP 388 41366 PG 18 41367 SC Management 41368 GA 188OK 41369 UT ISI:000247929000003 41370 ER 41371 41372 PT J 41373 AU Hsu, CS 41374 Lin, JR 41375 AF Hsu, Chi-Sheng 41376 Lin, Jwu-Rong 41377 TI Mutual fund performance and persistence in Taiwan: A non-parametric 41378 approach 41379 SO SERVICE INDUSTRIES JOURNAL 41380 LA English 41381 DT Article 41382 ID EFFICIENCY; MANAGEMENT; FLOWS 41383 AB This paper applies data envelopment analysis (DEA) to measure the 41384 performance of Taiwan domestic equity funds during the period 1999 to 41385 2003. To test performance persistence, we first divide the sample funds 41386 into low efficiency (0-25th percentile), middle efficiency (26th-75th 41387 percentile), and high efficiency (76th-100th percentile) groups 41388 according to their rankings on technical efficiency (TE) and Sharpe 41389 ratios, respectively. Then, based on the previous one-, two-, and 41390 three- year performances of the sample funds, we employ iterative 41391 seemingly unrelated regressions to analyse the persistence of sample 41392 fund performance. The results show that there exists a significant 'hot 41393 hands' effect in Taiwan domestic equity funds under the TE measure, but 41394 not under the measure of Sharpe ratios. The paper concludes that the 41395 different results in performance persistence analyses between the above 41396 two measures is driven by the DEA taking transaction costs into 41397 consideration. 41398 C1 Tunghai Univ, Dept Int Business, Taichung 407, Taiwan. 41399 RP Hsu, CS, Tunghai Univ, Dept Int Business, Taichung 407, Taiwan. 41400 EM echsu@thu.edu.tw 41401 CR ALEXANDER GJ, 1998, FINANCIAL SERVICES R, V7, P301 41402 BARBER BM, 2005, J BUS, V78, P2095 41403 BERK JB, 2004, PERSISTENCE FUND FLO 41404 BLAKE CR, 2000, J FINANC QUANT ANAL, V35, P451 41405 BRIGHTMAN JS, 1980, J PORTFOLIO MANAGE, V6, P43 41406 BROWN KA, 1995, J NUCL CARDIOL, V2, P98 41407 CARHART MM, 1997, J FINANC, V52, P57 41408 CARLSON R, 1970, J FINANCIAL QUANTITA, V5, P1 41409 CHARNES A, 1978, EUR J OPER RES, V2, P429 41410 CHEN HL, 2000, J FINANC QUANT ANAL, V35, P343 41411 CHEVALIER J, 1997, J POLIT ECON, V105, P1167 41412 CHOI Y, 2001, J BUSINESS FINANCE A, V28, P853 41413 ELTON EJ, 1990, FINANCIAL ANAL J, V46, P23 41414 FRANK MM, 2004, J LAW ECON, V47, P515 41415 GOETZMANN WN, 1994, J PORTFOLIO MANAGE, V20, P9 41416 GRINBLATT M, 1992, J FINANC, V47, P1977 41417 HENDRICKS D, 1993, J FINANC, V48, P93 41418 JAN YC, 2004, J INVESTING, V13, P67 41419 MOREY MR, 2005, J INVT MGMT, V3, P41 41420 MURTHI BPS, 1997, EUR J OPER RES, V98, P408 41421 SENGUPTA JK, 2003, APPL FINANCIAL EC, V13, P869 41422 SHARPE W, 1966, J BUS, V34, P119 41423 SIRRI ER, 1998, J FINANC, V53, P1589 41424 WERMERS R, 2003, MONEY REALLY SMART N 41425 NR 24 41426 TC 0 41427 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 41428 PI ABINGDON 41429 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 41430 SN 0264-2069 41431 J9 SERV IND J 41432 JI Serv. Ind. J. 41433 PY 2007 41434 VL 27 41435 IS 5 41436 BP 509 41437 EP 523 41438 PG 15 41439 SC Management 41440 GA 188OL 41441 UT ISI:000247929100001 41442 ER 41443 41444 PT J 41445 AU Nunes, PJM 41446 Serrasqueiro, ZM 41447 AF Nunes, Paulo J. Macas 41448 Serrasqueiro, Zelia M. 41449 TI Capital structure of Portuguese service industries: A panel data 41450 analysis 41451 SO SERVICE INDUSTRIES JOURNAL 41452 LA English 41453 DT Article 41454 ID DEBT; DETERMINANTS; INVESTMENT; BANKRUPTCY; CHOICE; COSTS; PERFORMANCE; 41455 COMPANIES; FINANCE; EQUITY 41456 AB Using panel data for the period 1999-2003, this study shows that 41457 internal and external financing are not perfect substitutes, not 41458 corroborating the theorem of Modigliani and Miller. Portuguese service 41459 industries prefer internal to external financing, corroborating Pecking 41460 Order theory. The bigger the size of the company, the greater the level 41461 of debt, corroborating Trade-Off and Signalling theories. The negative 41462 relationship between the amount of fixed capital and debt corroborates 41463 Agency theory. The results allow us to conclude that debt contributes 41464 to improving management efficiency, agency problems between 41465 shareholders and creditors having little relevance. 41466 C1 Beira Interior Univ, Management & Econ Dept, Univ Evora, CEFAGE, P-6200209 Covilha, Portugal. 41467 RP Nunes, PJM, Beira Interior Univ, Management & Econ Dept, Univ Evora, 41468 CEFAGE, Estr Sineiro, P-6200209 Covilha, Portugal. 41469 EM macas@ubi.pt 41470 zelia@ubi.pt 41471 CR AIVAZIAN VA, 2005, J CORP FINANC, V11, P277 41472 ALONSO E, 2003, APPL FINANCIAL EC, V13, P427 41473 ANG JS, 1982, J FINANC, V37, P219 41474 BEVAN A, 2002, APPL FINANCIAL EC, V123, P159 41475 CHEN JJ, 2004, J BUS RES, V57, P1341 41476 DEESOMSAK R, 2004, J MULTINATIONAL FINA, V14, P387 41477 FAMA EF, 2002, REV FINANC STUD, V15, P1 41478 FRANK MZ, 2003, J FINANC ECON, V67, P217 41479 GALAI D, 1976, J FINANC ECON, V3, P53 41480 GAUD P, 2005, EUR FINANC MANAG, V11, P51 41481 GRAHAM J, 2001, J FINANC ECON, V60, P131 41482 GROSSMAN S, 1982, EC INFORMATION UNCER, P107 41483 HARRIS M, 1990, J FINANC, V45, P321 41484 HARRIS M, 1991, J FINANC, V46, P297 41485 HOVAKIMIAN A, 2001, J FINANC QUANT ANAL, V36, P1 41486 JENSEN MC, 1986, AM ECON REV, V76, P323 41487 KESTER WC, 1986, FINANC MANAGE, V15, P5 41488 KIM EH, 1978, J FINANC, V33, P45 41489 KRAUS A, 1973, J FINANC, V28, P991 41490 MARSH P, 1982, J FINANC, V37, P121 41491 MODIGLIANI F, 1958, AM ECON REV, V48, P261 41492 MUNRO JW, 1996, J BUSINESS FINANCE A, V23, P319 41493 MYERS SC, 1977, J FINANC ECON, V5, P147 41494 MYERS SC, 1984, J FINANC ECON, V13, P187 41495 MYERS SC, 1984, J FINANC, V39, P575 41496 OPLER TC, 1994, J FINANC, V49, P1015 41497 PHILLIPS PA, 2004, SERV IND J, V24, P31 41498 RAJAN RG, 1995, J FINANC, V50, P1421 41499 ROSS SA, 1977, BELL J ECON, V8, P23 41500 SCOTT JH, 1977, J FINANC, V32, P1 41501 STULZ RM, 1990, J FINANC ECON, V26, P3 41502 TITMAN S, 1984, J FINANC ECON, V13, P137 41503 TITMAN S, 1988, J FINANC, V43, P1 41504 WARNER JB, 1977, J FINANC, V32, P337 41505 NR 34 41506 TC 0 41507 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 41508 PI ABINGDON 41509 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 41510 SN 0264-2069 41511 J9 SERV IND J 41512 JI Serv. Ind. J. 41513 PY 2007 41514 VL 27 41515 IS 5 41516 BP 549 41517 EP 561 41518 PG 13 41519 SC Management 41520 GA 188OL 41521 UT ISI:000247929100003 41522 ER 41523 41524 PT J 41525 AU Eriksson, K 41526 Fjeldstad, OD 41527 Sasson, A 41528 AF Eriksson, Kent 41529 Fjeldstad, Oystein D. 41530 Sasson, Amir 41531 TI Knowledge of inter-customer relations as a source of value creation and 41532 commitment in financial service firm's intermediation 41533 SO SERVICE INDUSTRIES JOURNAL 41534 LA English 41535 DT Article 41536 ID COMPETITIVE ADVANTAGE; MANAGEMENT RESEARCH; WEAK TIES; NETWORKS; 41537 EMBEDDEDNESS; PERFORMANCE; INNOVATION; BUSINESS; INFORMATION; STRATEGY 41538 AB This paper develops a knowledge perspective on value creation in 41539 organisations that employ mediating technology to facilitate 41540 inter-customer relations. Mediators, individually and collectively, 41541 build networks of customers between whom linking can take place, and 41542 they provide services that facilitate inter-customer exchanges. Earlier 41543 research has shown the importance of size and standardisation in 41544 mediation. A different stream of research has shown that contextual 41545 knowledge is important for problem solving and innovation in 41546 organisations. Combining theories of mediating technology and situated 41547 problem solving, the paper posits that inter-customer relations 41548 constitute the fundamental context for value creation of firms using 41549 the mediating technology. LISREL is used to test relationship-level, 41550 cross-sectional hypotheses that link knowledge of inter-customer 41551 relationships, added value, and customer commitment to bank services 41552 for small firms. This work extends Thompson's work on mediating 41553 technology with implications for organisation action by demonstrating 41554 that mediators' knowledge of inter- customer relationships is an 41555 important resource in intermediation. Three contributions are made to 41556 strategic management and organisation theory. First, the paper provides 41557 a deeper understanding of the relationship between knowledge and 41558 committed customers. Second, fundamental resources are developed for 41559 firms using mediating technology. Finally, the use of the situated 41560 knowledge concept is extended to inter-customer relations, thus 41561 explaining performance beyond the contexts to which the concept has 41562 previously been applied. The findings have implications for 41563 segmentation practices, organisation domain decisions and the 41564 corresponding organisational 41565 C1 Norwegian Sch Management, Dept Strategy, N-1302 Sandvika, Norway. 41566 KTH, Royal Inst Technol, Ctr Banking & Finance, Stockholm, Sweden. 41567 Univ Coll, Dublin, Ireland. 41568 RP Fjeldstad, OD, Norwegian Sch Management, Dept Strategy, BI,Elias Smiths 41569 Vei 15,POB 580, N-1302 Sandvika, Norway. 41570 EM kent.eriksson@sh.se 41571 oystein.fjeldstad@bi.no 41572 amir.sasson@ucd.ie 41573 CR AHUJA G, 2000, ADMIN SCI QUART, V45, P425 41574 ANDERSON E, 1992, J MARKETING RES, V29, P18 41575 ARROW KJ, 1975, BELL J ECON, V6, P173 41576 ARTHUR WB, 1987, EUR J OPER RES, V30, P294 41577 ARTHUR WB, 1989, ECON J, V99, P116 41578 BARNETT WP, 1987, ADM SCI Q, V32, P400 41579 BARNEY J, 1991, J MANAGE, V17, P99 41580 BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173 41581 BAUMGARTNER H, 1996, INT J RES MARK, V13, P139 41582 BENNER MJ, 2003, ACAD MANAGE REV, V28, P238 41583 BENSAOU M, 1999, ORGAN SCI, V10, P460 41584 BERGER AN, 1995, J BUS, V68, P351 41585 BHATTACHARYA S, 1993, J FINANCIAL INTERMED, V3, P2 41586 BLAU PM, 1964, EXCHANGE POWER SOCIA 41587 BOLLEN KA, 1989, STRUCTURAL EQUATIONS 41588 BRANDENBURGER AM, 1996, J ECON MANAGE STRAT, V5, P5 41589 BROWN JS, 1991, ORGAN SCI, V2, P40 41590 BURT RS, 1992, STRUCTURAL HOLES SOC 41591 CAMPBELL T, 1979, J FINANCIAL QUANTITA, V14, P313 41592 CASTELLS M, 1996, INFORM AGE EC SOC CU, V1 41593 COHEN WM, 1990, ADMIN SCI QUART, V35, P128 41594 COLE RA, 1998, J BANK FINANC, V22, P958 41595 COOK KS, 1978, AM SOCIOL REV, V43, P721 41596 DAS SR, 1999, J BANK FINANC, V23, P863 41597 DIAMOND DW, 1984, REV ECON STUD, V51, P393 41598 DIMAGGIO P, 1998, AM SOCIOL REV, V63, P619 41599 DYER JH, 2000, STRATEGIC MANAGE J, V21, P345 41600 ECCLES RG, 1987, CALIF MANAGE REV, V30, P176 41601 EISENHARDT KM, 2000, STRATEGIC MANAGE J, V21, P1105 41602 ERIKSSON K, 2003, J BUS RES, V56, P961 41603 GRANOVETTER M, 1985, AM J SOCIOL, V91, P3 41604 GRANT RM, 1996, STRATEGIC MANAGE J, V17, P109 41605 GREENO JG, 1998, AM PSYCHOL, V53, P5 41606 GREVE HR, 1995, ADMIN SCI QUART, V40, P444 41607 HANSEN MT, 1999, ADMIN SCI QUART, V44, P82 41608 HANSEN MT, 2001, ADMIN SCI QUART, V46, P1 41609 HAUBRICH JG, 1989, J BANK FINANC, V13, P9 41610 HAYEK FA, 1945, AM ECON REV, V35, P519 41611 HAYTHORNTHWAITE C, 2002, INFORM SOC, V18, P385 41612 HOLM DB, 1999, STRATEGIC MANAGE J, V20, P467 41613 HOSHI T, 1990, J FINANC ECON, V27, P67 41614 ITAMI H, 1987, MOBILIZING INVISIBLE 41615 JENSEN MC, 1976, J FINANC ECON, V3, P305 41616 JOHNSON MD, 1996, J ECON PSYCHOL, V17, P163 41617 JORESKOG KG, 1993, LISTREL 8 STRUCTURAL 41618 KALWANI MU, 1995, J MARKETING, V59, P1 41619 KATZ M, 1992, J IND ECON, V40, P50 41620 KATZ ML, 1985, AM ECON REV, V75, P424 41621 KATZ ML, 1994, J ECON PERSPECT, V8, P93 41622 KOGUT B, 1992, ORGAN SCI, V3, P383 41623 LAWLER EJ, 1996, AM SOCIOL REV, V61, P89 41624 LELAND H, 1977, J FINANC, V32, P371 41625 LEVINTHAL DA, 1988, ADMIN SCI QUART, V33, P345 41626 MACAULAY S, 1963, AM SOCIOL REV, V28, P55 41627 MATTSON S, 1998, THESIS U UPSALIENSIS 41628 MCEVILY SK, 2002, STRATEGIC MANAGE J, V23, P285 41629 MCPHERSON JM, 1982, AM J SOCIOL, V87, P883 41630 MILES RE, 1997, ACAD MANAGEMENT EXEC, V11, P7 41631 NELSON P, 1970, J POLITICAL EC, V78, P311 41632 NONAKA I, 1995, KNOWLEDGE CREATING C 41633 NORTH DC, 1991, J ECON PERSPECT, V5, P97 41634 PETERSEN MA, 1994, J FINANC, V49, P3 41635 PFEFFER J, 1978, EXTERNAL CONTROL ORG 41636 PORTER ME, 1985, COMPETITIVE ADVANTAG 41637 POWELL WW, 1996, ADMIN SCI QUART, V41, P116 41638 ROHLFS J, 1974, BELL J ECON, V5, P16 41639 RUMELT RP, 1994, FUNDAMENTAL ISSUES S 41640 SCHULZ M, 2001, ACAD MANAGE J, V44, P661 41641 SHAH R, 2006, J OPER MANAG, V24, P148 41642 SHAPIRO C, 1999, INFORM RULES STRATEG 41643 SHOOK CL, 2004, STRATEGIC MANAGE J, V25, P397 41644 STABELL CB, 1998, STRATEGIC MANAGE J, V19, P413 41645 THOMPSON JD, 1967, ORG ACTION 41646 TYRE MJ, 1997, ORGAN SCI, V8, P71 41647 UZZI B, 1997, ADMIN SCI QUART, V42, P35 41648 UZZI B, 1999, AM SOCIOL REV, V64, P481 41649 UZZI B, 2002, STRATEGIC MANAGE J, V23, P595 41650 UZZI B, 2003, MANAGE SCI, V49, P383 41651 VONHIPPEL E, 1994, MANAGE SCI, V40, P429 41652 VONHIPPEL E, 1998, MANAGE SCI, V44, P629 41653 VONKROGH G, 2000, ENABLING KNOWLEDGE C 41654 WEIGELT K, 1988, STRATEGIC MANAGEMENT, V9, P443 41655 WEINSTEIN DE, 1998, J FINANC, V53, P635 41656 WILLIAMSON OE, 1975, MARKETS HIERARCHIES 41657 NR 84 41658 TC 0 41659 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 41660 PI ABINGDON 41661 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 41662 SN 0264-2069 41663 J9 SERV IND J 41664 JI Serv. Ind. J. 41665 PY 2007 41666 VL 27 41667 IS 5 41668 BP 563 41669 EP 582 41670 PG 20 41671 SC Management 41672 GA 188OL 41673 UT ISI:000247929100004 41674 ER 41675 41676 PT J 41677 AU Yang, CC 41678 AF Yang, Ching-Chow 41679 TI A systems approach to service development in a concurrent engineering 41680 environment 41681 SO SERVICE INDUSTRIES JOURNAL 41682 LA English 41683 DT Article 41684 ID FINANCIAL SERVICES; KEY CONCEPTS; DESIGN; PERFORMANCE; INNOVATION; 41685 PRODUCTS; SUCCESS 41686 AB If a service organisation is to ensure continuous growth, long- term 41687 profitability, and ongoing competitiveness, it needs to develop new 41688 services to attract and satisfy customers. Service development is thus 41689 a key challenge for any service organisation. Such service development 41690 requires a continuous process that begins with an innovative idea and 41691 continues until the new service is introduced to the market. The 41692 process involves the planning of systems and processes, the allocation 41693 of resources, a process of quality design, the creation of 41694 prerequisites, and the ultimate realisation of the original idea. 41695 Quality is the most important prerequisite for satisfying customers and 41696 ensuring the competitiveness of a service organisation. To guarantee 41697 service quality, all phases of the service-development process must be 41698 optimised. The present paper develops a framework for a systems 41699 approach to service development in a concurrent engineering 41700 environment. The framework consists of several key design stages: (i) 41701 process design; (ii) quality design; (iii) production-management 41702 design; (iv) capacity design; (v) management design; and (vi) physical 41703 and technical design. These designs are integrated and conducted 41704 systematically in the implementation of the project to raise the 41705 overall performance of the new service. A case study is presented to 41706 illustrate the implementation process. The case study demonstrates that 41707 this integrated and systematic approach is a powerful and useful tool 41708 for new service development. 41709 C1 Chung Yuan Christian Univ, Dept Ind Engn, Chungli, Taiwan. 41710 RP Yang, CC, Chung Yuan Christian Univ, Dept Ind Engn, 22 Pu Zen, Chungli, 41711 Taiwan. 41712 EM chinchow@cycu.edu.tw 41713 CR ALAM I, 2002, J SERVICES MARKETING, V16, P515 41714 BALLANTYNE D, 1995, J MARKETING MANAGEME, V11, P7 41715 BROWN LD, 1994, STAT DECISION THEORY, V5, P1 41716 BULLINGER HM, 2003, INT J PROD ECON, V85, P275 41717 CHASE RB, 1991, SERVICE QUALITY MULT, P157 41718 CLARK G, 2000, NEW SERVICE DESIGN, P71 41719 COHEN MA, 2000, MANUFACTURING SERVIC, V2, P337 41720 COOPER RG, 1994, J PROD INNOVAT MANAG, V11, P281 41721 COOPER RG, 1995, J PROD INNOVAT MANAG, V12, P374 41722 CROSBY PB, 1989, LETS TALK QUALITY 41723 DEBRENTANI U, 1995, J BUS RES, V32, P93 41724 DEMING WE, 1986, OUT CRISIS 41725 DOWLATSHAHI S, 1997, PROD PLAN CONTROL, V8, P522 41726 DOWLATSHAHI S, 2001, J OPER RES SOC, V52, P1201 41727 EDVARDSSON B, 1992, INT J SERV IND MANAG, V3, P17 41728 EDVARDSSON B, 1996, SERV IND J, V16, P140 41729 EDVARDSSON B, 1997, INT J PROD ECON, V52, P31 41730 EDVARDSSON B, 2000, NEW SERVICE DEV INNO 41731 FISK RP, 1993, J RETAILING, V69, P61 41732 FITZSIMMONS JA, 1998, SERVICE MANAGEMENT O 41733 FITZSIMMONS JA, 2001, SERVICE MANAGEMENT O 41734 GOLDSTEIN SM, 2002, J OPER MANAG, V20, P121 41735 GUMMESSON E, 1991, QUALITATIVE METHODS 41736 GUMMESSON E, 1993, QUALITY MANAGEMENT S 41737 HENDRICKS KB, 1997, MANAGE SCI, V43, P422 41738 HESKETT JL, 1987, HARVARD BUSINESS MAR, P118 41739 HUANG GQ, 1997, ROBOT CIM-INT MANUF, V13, P271 41740 JOHNE A, 1998, EUR J MARKETING, V32, P184 41741 JOHNSON R, 2001, SERVICE OPERATIONS M 41742 JOHNSON SP, 2000, NEW SERVICE DEV, P1 41743 JURAN JM, 1992, JURAN QUALITY DESIGN 41744 KESSLER EH, 1996, ACAD MANAGE REV, V21, P1143 41745 KUO TC, 2001, COMPUT IND ENG, V41, P241 41746 LOVELOCK CH, 1999, SERVICES MARKETING E 41747 MENOR LJ, 2002, J OPER MANAG, V20, P135 41748 MURDICK RG, 1990, SERVICES OPERATION M 41749 NORLING P, 1992, 92 U KARLST SERV RES, P5 41750 PILLAI AS, 2002, INT J PROJECT MANAGE, V20, P165 41751 SCHEUING EE, 1989, NEW PRODUCT MANAGEME 41752 SCHILLING MA, 1998, ACAD MANAGEMENT EXEC, V12, P67 41753 SONG XM, 2000, J PROD INNOVAT MANAG, V17, P378 41754 STOREY C, 1999, J BUS RES, V46, P193 41755 TATIKONDA MV, 2001, MANAGE SCI, V47, P151 41756 TAX SS, 1997, J RETAILING, V73, P105 41757 NR 44 41758 TC 0 41759 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD 41760 PI ABINGDON 41761 PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND 41762 SN 0264-2069 41763 J9 SERV IND J 41764 JI Serv. Ind. J. 41765 PY 2007 41766 VL 27 41767 IS 5 41768 BP 635 41769 EP 652 41770 PG 18 41771 SC Management 41772 GA 188OL 41773 UT ISI:000247929100008 41774 ER 41775 41776 PT J 41777 AU Adams, J 41778 Gurney, K 41779 Marshall, S 41780 AF Adams, Jonathan 41781 Gurney, Karen 41782 Marshall, Stuart 41783 TI Profiling citation impact: A new methodology 41784 SO SCIENTOMETRICS 41785 LA English 41786 DT Article 41787 ID SCIENCE; NATIONS 41788 AB A methodology for creating bibliometric impact profiles is described. 41789 The advantages of such profiles as a management tool to supplement the 41790 reporting power of traditional average impact metrics are discussed. 41791 The impact profile for the UK as a whole reveals the extent to which 41792 the median and modal UK impact values differ from and are significantly 41793 below average impact. Only one-third of UK output for 1995-2004 is 41794 above world average impact although the UK's average world-normalised 41795 impact is 1.24. 41796 Time-categorised impact profiles are used to test hypotheses about 41797 changing impact and confirm that the increase in average UK impact is 41798 due to real improvement rather than a reduction in low impact outputs. 41799 The impact profile methodology has been applied across disciplines as 41800 well as years and is shown to work well in all subject categories. It 41801 reveals substantial variations in performance between disciplines. The 41802 value of calculating the profile median and mode as well as the average 41803 impact are demonstrated. Finally, the methodology is applied to a 41804 specific data-set to compare the impact profile of the elite Laboratory 41805 of Molecular Biology (Cambridge) with the relevant UK average. This 41806 demonstrates an application of the methodology by identifying where the 41807 institute's exceptional performance is located. 41808 The value of impact profiles lies in their role as an interpretive aid 41809 for non-specialists, not as a technical transformation of the data for 41810 scientometricians. 41811 C1 Evidence Ltd, Leeds LS2 9DF, W Yorkshire, England. 41812 RP Adams, J, Evidence Ltd, 103 Clarendon Rd, Leeds LS2 9DF, W Yorkshire, 41813 England. 41814 EM jonathan.adams@evidence.co.uk 41815 CR 2005, PSA TARGET UK RES BA 41816 *EUR COMM, 2003, 3 EUR REP SCI TECHN 41817 ADAMS J, 1998, NATURE, V396, P615 41818 EHRENBERG A, 1988, REPEAT BUYING FACTS 41819 FELLER W, 1943, ANN MATH STAT, V14, P389 41820 GARFIELD E, 1955, SCIENCE, V122, P108 41821 KING DA, 2004, NATURE, V430, P311 41822 LEYDESDORFF L, 2006, J AM SOC INF SCI TEC, V57, P1470 41823 MAY RM, 1997, SCIENCE, V275, P793 41824 MICHELSON ES, 2006, SCI PUBL POLICY, V33, P546 41825 MOED HF, 2004, HDB QUANTITATIVE SCI 41826 MOED HF, 2005, CITATION ANAL RES EV 41827 PRICE DJD, 1965, NATURE, V206, P233 41828 SAVANI V, IN PRESS ASYMPTOTIC 41829 SAVANI V, IN PRESS METRIKA 41830 SAVANI V, 2006, COMMUNICATIONS STAT, V35, P1 41831 SMALL H, SCIENTOMETRICS, V60, P305 41832 WEINGART P, 2005, SCIENTOMETRICS, V62, P117 41833 ZITT M, 2005, SCIENTOMETRICS, V63, P373 41834 NR 19 41835 TC 0 41836 PU SPRINGER 41837 PI DORDRECHT 41838 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 41839 SN 0138-9130 41840 J9 SCIENTOMETRICS 41841 JI Scientometrics 41842 PD AUG 41843 PY 2007 41844 VL 72 41845 IS 2 41846 BP 325 41847 EP 344 41848 PG 20 41849 SC Computer Science, Interdisciplinary Applications; Information Science & 41850 Library Science 41851 GA 190SP 41852 UT ISI:000248080300010 41853 ER 41854 41855 PT J 41856 AU Reiman, T 41857 Oedewald, P 41858 AF Reiman, Teemu 41859 Oedewald, Pia 41860 TI Assessment of complex sociotechnical systems - Theoretical issues 41861 concerning the use of organizational culture and organizational core 41862 task concepts 41863 SO SAFETY SCIENCE 41864 LA English 41865 DT Review 41866 DE organizational culture; organizational core task; task analysis; 41867 assessment; work psychology; safety culture 41868 ID ASSESSING SAFETY CULTURE; OFFSHORE ENVIRONMENTS; BRINGING WORK; 41869 CLIMATE; PERCEPTIONS; PERFORMANCE; MANAGEMENT; ATTITUDES; MAINTENANCE; 41870 RELIABILITY 41871 AB This article studies organizational assessment in complex 41872 sociotechnical systems. There is a practical need to monitor, 41873 anticipate and manage the safety and effectiveness of these systems. A 41874 failure to do so has resulted in various organizational accidents. Many 41875 theories of accidents and safety in industrial organizations are either 41876 based on a static and rational model of an organization or they are 41877 non-contextual. They are thus reactive in their search for errors and 41878 analysis of previous accidents and incidents, or they are disconnected 41879 from the actual work in the organization by their focus on general 41880 safety attitudes and values. A more proactive and predictive approach 41881 is needed, that is based on an accurate view on an organization and the 41882 demands of the work in question. This article presents and elaborates 41883 four statements: (1) the current models of safety management are 41884 largely based on either a rational or a non-contextual image of an 41885 organization, (2) complex sociotechnical systems are socially 41886 constructed and dynamic cultures, (3) in order to be able to assess 41887 complex sociotechnical systems an understanding of the organizational 41888 core task is required, and (4) effectiveness and safety depend on the 41889 cultural conceptions of the organizational core task. Finally, we will 41890 discuss the implications of the proposed concepts for safety research 41891 and development work in complex sociotechnical systems. (c) 2006 41892 Elsevier Ltd. All rights reserved. 41893 C1 Tech Res Ctr Finland, FIN-02044 Espoo, Finland. 41894 RP Reiman, T, Tech Res Ctr Finland, POB 1000, FIN-02044 Espoo, Finland. 41895 EM teemu.reiman@vtt.fi 41896 CR *HSE, 1997, SUCC HLTH SAF MAN 41897 *IAEA, 1991, SAFETY SERIES SAFETY 41898 ALVESSON M, 1992, CORPORATE CULTURE OR 41899 ALVESSON M, 2002, UNDERSTANDING ORG CU 41900 BAKER EL, 1980, MANAG REV, V69, P8 41901 BARLEY SR, 1996, ADMIN SCI QUART, V41, P404 41902 BARLEY SR, 2001, ORGAN SCI, V12, P76 41903 BARNEY JB, 1986, ACAD MANAGE REV, V11, P656 41904 BOURRIER M, 1999, NUCL SAFETY HUMAN FA, P25 41905 BRUNSSON N, 1993, REFORMING ORG 41906 BURRELL G, 1979, SOCIOLOGICAL PARADIG 41907 CHEYNE A, 1998, WORK STRESS, V12, P255 41908 CLARKE S, 1998, WORK STRESS, V12, P285 41909 CLARKE S, 1999, J ORGAN BEHAV, V20, P185 41910 CORLEY KG, 2004, HUM RELAT, V57, P1145 41911 COX S, 1998, WORK STRESS, V12, P189 41912 COX SJ, 2000, SAFETY SCI, V34, P111 41913 CZARNIAWSKAJOER.B, 1992, EXPLORING COMPLEX OR 41914 DEKKER S, 2003, APPL ERGON, V34, P233 41915 DEKKER SWA, 2002, J SAFETY RES, V33, P371 41916 DEKKER SWA, 2005, 10 QUESTIONS HUMAN E 41917 DENISON DR, 1996, ACAD MANAGE REV, V21, P619 41918 DONALD I, 1994, J LOSS PREVENT PROC, V7, P203 41919 DURKHEIM E, 1982, RULES SOCIOLOGICAL M 41920 ENGESTROM Y, 1999, PERSPECTIVES ACTIVIT, P19 41921 ETZIONI A, 1964, MODERN ORG 41922 FARRINGTONDARBY T, 2005, SAFETY SCI, V43, P39 41923 FELDMAN MS, 2000, ORGAN SCI, V11, P611 41924 FELDMAN MS, 2002, J MANAGE STUD, V39, P309 41925 FROST PJ, 1985, REFRAMING ORG CULTUR 41926 GEERTZ C, 1973, INTERPRETATION CULTU, P3 41927 GEPHART RP, 1984, J MANAGE, V10, P205 41928 GHERARDI S, 2002, ORGANIZATION, V9, P191 41929 GIDDENS A, 1984, CONSTITUTION SOC OUT 41930 GULDENMUND FW, 2000, SAFETY SCI, V34, P215 41931 HALE AR, 1998, OCCUPATIONAL INJURY 41932 HARVEY J, 2002, WORK STRESS, V16, P18 41933 HEMPEL CG, 1965, ASPECTS SCI EXPLANAT 41934 HERNES T, 2003, ORGAN STUD, V24, P1511 41935 HUTCHINS E, 1995, COGNITION WILD 41936 KATZ D, 1966, SOCIAL PSYCHOL ORG 41937 KIRWAN B, 1992, GUIDE TASK ANAL 41938 KIRWAN B, 2001, SAFETY SCI, V37, P77 41939 KUNDA G, 1992, ENG CULTURE CONTROL 41940 LAPORTE TR, 1996, J CONTINGENCIES CRIS, V4, P60 41941 LEE T, 1998, WORK STRESS, V12, P217 41942 LEE T, 2000, SAFETY SCI, V34, P61 41943 LEONTIEV AN, 1975, DEJATELNOST COZNANIE 41944 LEVESON N, 2004, SAFETY SCI, V42, P237 41945 LEVINSON H, 2002, ORG ASSESSMENT STEP 41946 MARTIN J, 2002, ORG CULTURE MAPPING 41947 MCDONALD N, 2000, SAFETY SCI, V34, P151 41948 MEARNS K, 1998, WORK STRESS, V12, P238 41949 MEARNS K, 2003, SAFETY SCI, V41, P641 41950 MEEK VL, 1988, ORGAN STUD, V9, P453 41951 MILLER E, 1967, SYSTEMS ORG TASK SEN 41952 MORGAN G, 1997, IMAGES ORG 41953 NORROS L, 2002, WORK PROCESS KNOWLED, P25 41954 NORROS L, 2004, VTT PUBLICATIONS, V546 41955 NORROS L, 2005, INT J HUM-COMPUT ST, V63, P328 41956 NUUTINEN M, 2005, INT J IND ERGONOM, V35, P905 41957 OEDEWALD P, 2003, COGNITION TECHNOLOGY, V5, P283 41958 ORLIKOWSKI WJ, 1992, 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1978, MAN MADE DISASTERS 42003 TURNER B, 1997, MAN MADE DISASTERS 42004 TURNER BA, 1971, EXPLORING IND SUBCUL 42005 VAUGHAN D, 1996, CHALLENGER LAUNCH DE 42006 VICENTE K, 1999, COGNITIVE WORK ANAL 42007 WARING A, 1996, SAFETY MANAGEMENT SY 42008 WARING AE, 1998, MANAGING RISK 42009 WEBER M, 1978, EC SOC 42010 WEEKS J, 2003, ORGAN STUD, V24, P1309 42011 WEICK KE, 1979, SOCIAL PSYCHOL ORG 42012 WEICK KE, 1987, CALIF MANAGE REV, V29, P112 42013 WEICK KE, 1993, ADMIN SCI QUART, V38, P357 42014 WEICK KE, 1993, ADV THEORY RES, P10 42015 WEICK KE, 1993, ORG CHANGE REDESIGN, P346 42016 WEICK KE, 1995, SENSEMAKING ORG 42017 WEICK KE, 1998, J CONTINGENCIES CRIS, V6, P72 42018 WEICK KE, 2001, MANAGING UNEXPECTED 42019 WILLIAMSON AM, 1997, SAFETY SCI, V25, P15 42020 WILLIAMSON OE, 1975, MARKETS HIERARCHIES 42021 WRIGHT C, 1994, SOCIOL REV, V38, P79 42022 ZUBOFF S, 1988, AGE SMART MACHINE FU 42023 NR 127 42024 TC 0 42025 PU ELSEVIER SCIENCE BV 42026 PI AMSTERDAM 42027 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 42028 SN 0925-7535 42029 J9 SAF SCI 42030 JI Saf. Sci. 42031 PD AUG 42032 PY 2007 42033 VL 45 42034 IS 7 42035 BP 745 42036 EP 768 42037 PG 24 42038 SC Engineering, Industrial; Operations Research & Management Science 42039 GA 199LB 42040 UT ISI:000248696200001 42041 ER 42042 42043 PT J 42044 AU Michaud, L 42045 Cador, R 42046 Paul, JF 42047 Caussin, C 42048 Vignaux, O 42049 Kettaneh, A 42050 AF Michaud, L. 42051 Cador, R. 42052 Paul, J.-F. 42053 Caussin, C. 42054 Vignaux, O. 42055 Kettaneh, A. 42056 TI The contribution of the computed tomography coronary angiography in the 42057 Kawasaki disease on adult patients. About two cases 42058 SO REVUE DE MEDECINE INTERNE 42059 LA English 42060 DT Article 42061 DE computed tomography coronary angiography; kawasaki disease; coronary 42062 disease; aneurisme 42063 ID AMERICAN-HEART-ASSOCIATION; STABLE ANGINA-PECTORIS; 42064 DIAGNOSTIC-ACCURACY; CARDIOVASCULAR-DISEASE; HIGH-RISK; EXPERIENCE; 42065 YOUNG; MANAGEMENT; STATEMENT; STENOSES 42066 AB Objectives. - During the past few years, multislice computed tomography 42067 coronary angiography has made great progress in terms of spatial and 42068 temporal resolution. Results on detection and quantification of 42069 stenoses are excellent. We found interesting reporting its achievements 42070 in aneurismal coronaropathies such as the Kawasaki disease. 42071 Methods, - We searched for young adults with Kawasaki disease who had a 42072 multislice computed tomography coronary angiography available. Several 42073 hospitals in the Paris area have been contacted and only two 42074 observations have been kept. 42075 Results. - Computed tomography provided higher performance than 42076 coronarography for the measurement of the real diameter of an aneurism 42077 taking into account the mural thrombus, evaluation of its links with 42078 the collateral branches and the other aneurisms, assessment of the 42079 development of recanalized vessels and the degree of development of 42080 collateral vessels, and visualization of non-circulating aneurisms 42081 which were not detected with coronary angiography. In addition, the 42082 evaluation of the location and the degree of the stenoses by the 42083 computed tomography matched the coronary angiography data. It was not 42084 possible to conclude with this observations that the computed 42085 tomography is better for the diagnostic of Kawasaki disease. 42086 Conclusion. - Multislice computed tomography coronary angiography will 42087 be likely more and more used to detect and follow coronary anomalies in 42088 case of Kawasaki disease among teenagers and young adults. It is 42089 recommended for monitoring medium or large aneurisms in order to 42090 evaluate their progression to stenosis. (c) 2007 Elsevier Masson SAS. 42091 Tous droits reserves. 42092 C1 Hop St Joseph, Serv Cardiol, F-75014 Paris, France. 42093 Ctr Chirurg Marie Lannelongue, Serv Radiol, F-92350 Le Plessis Robinson, France. 42094 Ctr Chirurg Marie Lannelongue, Serv Cardiol, F-92350 Le Plessis Robinson, France. 42095 Hop Cochin, Serv Radiol, F-75014 Paris, France. 42096 Hop St Antoine, Serv Med Interne, F-75012 Paris, France. 42097 RP Michaud, L, Hop St Joseph, Serv Cardiol, 185 Rue Raymond Losserand, 42098 F-75014 Paris, France. 42099 EM michaud.l@free.fr 42100 CR BURNS JC, 2004, LANCET, V364, P533 42101 CADEMARTIRI F, 2006, INT J CARDIOVAS IMAG, V22, P101 42102 COHEN A, 2002, COEUR MED INTERNE, P1629 42103 HOFFMANN U, 2004, CIRCULATION, V110, P2638 42104 KANAMARU H, 2005, AM J CARDIOL, V95, P522 42105 KARASAWA K, 2005, PEDIATR INT, V47, P711 42106 KATO H, 1996, CIRCULATION, V94, P1379 42107 KAVEY REW, 2006, CIRCULATION, V114, P2710 42108 KUETTNER A, 2005, J AM COLL CARDIOL, V45, P123 42109 LESCHKA S, 2005, EUR HEART J, V26, P1482 42110 MARTUSCELLI E, 2004, EUR HEART J, V25, P1043 42111 MOLLET NR, 2004, J AM COLL CARDIOL, V43, P2265 42112 MOLLET NR, 2005, J AM COLL CARDIOL, V45, P128 42113 NEWBURGER JW, 2004, CIRCULATION, V110, P2747 42114 NIEMAN K, 2001, LANCET, V357, P599 42115 NIEMAN K, 2002, CIRCULATION, V106, P2051 42116 PAUL JF, 2004, ARCH MAL COEUR VAISS, V97, P31 42117 PAUL JF, 2005, B ACAD NAT MED PARIS, V189, P657 42118 PUGLIESE F, 2006, EUR RADIOL, V16, P575 42119 RAFF GL, 2005, J AM COLL CARDIOL, V46, P552 42120 ROPERS D, 2003, CIRCULATION, V107, P664 42121 SCHROEDER S, 2002, CLIN IMAG, V26, P106 42122 SCHUIJF JD, 2006, AM HEART J, V151, P404 42123 SEVE P, 2003, REV MED INTERNE, V23, P577 42124 VIGNAUX O, 2005, IMAGERIE CARDIAQUE S 42125 NR 25 42126 TC 0 42127 PU ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER 42128 PI PARIS 42129 PA 23 RUE LINOIS, 75724 PARIS, FRANCE 42130 SN 0248-8663 42131 J9 REV MED INTERNE 42132 JI Rev. Med. Interne 42133 PD AUG 42134 PY 2007 42135 VL 28 42136 IS 8 42137 BP 526 42138 EP 530 42139 PG 5 42140 SC Medicine, General & Internal 42141 GA 199ZS 42142 UT ISI:000248734300003 42143 ER 42144 42145 PT J 42146 AU Salas, N 42147 Wisor, B 42148 Agazio, J 42149 Branson, R 42150 Austin, PN 42151 AF Salas, Nichole 42152 Wisor, Bernadette 42153 Agazio, Janice 42154 Branson, Richard 42155 Austin, Paul N. 42156 TI Comparison of ventilation and cardiac compressions using the Impact 42157 Model 730 automatic transport ventilator compared to a conventional bag 42158 valve with a facemask in a model of adult cardiopulmonary arrest 42159 SO RESUSCITATION 42160 LA English 42161 DT Article 42162 DE Advanced Life Support (ALS); airway management; cardiopulmonary 42163 resuscitation (CPR); chest compression; ventilation 42164 ID LIFE-SUPPORT VENTILATION; SMALLER TIDAL VOLUMES; CHEST COMPRESSIONS; 42165 MASK VENTILATION; RESCUER FATIGUE; AIRWAY PRESSURE; FLOW-RATE; 42166 RESUSCITATION; LUNG; QUALITY 42167 AB Purpose: To determine the performance of two person CPR on an 42168 instrumented manikin by registered nurses using conventional bag valve 42169 mask (BVM) ventilation or the Impact Model 730 automatic transport 42170 ventilator (Impact 730, Impact Instrumentation, Inc., West Caldwell, 42171 NJ) in CPR mode using a face mask. 42172 Design: Randomized crossover quasi-experimental. 42173 Setting: Laboratory simulation. 42174 Subjects: Twenty-eight registered nurses trained in performing adult 42175 cardiopulmonary resuscitation (CPR). 42176 Interventions: Basic Life Support was provided by subjects using a 42177 conventional bag valve mask (BVM) ventilation or mask ventilation with 42178 an automatic transport ventilator, the Impact 730, which incorporates a 42179 metronome to facilitate chest compression timing. Subjects alternated 42180 performing 4 min of CPR using the BVM or Impact 730 to deliver breaths 42181 with a mask while the other subject performed compressions. 42182 Measurements and main results: Flow, volume and pressure were measured 42183 using a pneumotachograph and pressure transducer, and ease of use was 42184 measured using a 10cm visual analogue scale. There was no statistical 42185 or clinical difference between the actual and recommended tidal lung 42186 volume (mean +/- S.D.) delivered by the Impact 730 (-120.4 +/- 91.5 mt) 42187 versus the 137.7 +/- (-119.8 +/- 187.3 ml). Ventilation with the BVM 42188 resulted in more (137.7 +/- 143.9 mt) air per breath passing through 42189 the simulated lower esophageal sphincter compared to the Impact 730 42190 (14.0 +/- 16.8 mt, p < 0.05). The reduced mask leak per breath with the 42191 Impact 730 (176.1 +/- 98.3ml) compared to the BVM (367.6 +/- 337.7 mt, 42192 p < 0.05) is likely to have resulted from the subject being able to 42193 manage the mask with two rather than one hand and is reflected in the 42194 higher ease of use score on a 10 cm visual analogue scale with the 42195 Impact 730 (8.06 +/- 1.35 cm) versus the BVM (6.46 +/- 2.46 cm, p < 42196 0.05). Subjects tended to deliver slightly more compressions and 42197 breaths when using the BVM. 42198 Conclusion: Compared to the BVM, the Impact 730 is as effective, easier 42199 to use and limits the amount of gas entering the stomach when used 42200 during adult CPR in a simulated setting. (C) 2006 Elsevier Ireland Ltd. 42201 AR rights reserved. 42202 C1 Catholic Univ Amer, Washington, DC 20064 USA. 42203 Uniformed Serv Univ Hlth Sci, Grad Sch Nursing, Bethesda, MD 20814 USA. 42204 Univ Cincinnati, Coll Med, Div Trauma Crit Care, Cincinnati, OH 45221 USA. 42205 RP Austin, PN, 14311 Harvest Moon Rd, Boyds, MD 20841 USA. 42206 EM srazi@usuhs.mil 42207 srazi@usuhs.mil 42208 Richard.Branson@uc.edu 42209 Paulaustin5@comcast.net 42210 CR *IMP INSTR INC, 2003, OP MAN IMP MOD 730 42211 ASHTON A, 2002, RESUSCITATION, V55, P151 42212 BOWMAN FP, 1995, ANN EMERG MED, V26, P216 42213 BROWER RG, 2000, NEW ENGL J MED, V342, P1301 42214 CHIANG WC, 2005, RESUSCITATION, V64, P297 42215 CUMMINS RO, 2001, ACLS PROVIDER MANUAL 42216 DAVIS K, 1995, ACAD EMERG MED, V2, P874 42217 DOERGES V, 1999, RESUSCITATION, V43, P31 42218 GABRIELLI A, 2002, CURR OPIN CRIT CARE, V8, P199 42219 HACKMAN BB, 1995, ANN EMERG MED, V26, P25 42220 HIGHTOWER D, 1995, ANN EMERG MED, V26, P300 42221 IDRIS AH, 1994, CIRCULATION, V90, P3024 42222 JOHANNIGMAN JA, 1991, J TRAUMA, V31, P93 42223 MENEGAZZI JJ, 1994, ACAD EMERG MED, V1, P29 42224 MILANDER MM, 1995, ACAD EMERG MED, V2, P708 42225 NAIMARK A, 1960, J APPL PHYSIOL, V15, P377 42226 OCHOA FJ, 1998, RESUSCITATION, V37, P149 42227 ORNATO JP, 1983, CRIT CARE MED, V11, P79 42228 OSTERWALDER JJ, 1998, RESUSCITATION, V36, P23 42229 RUBEN H, 1961, ACTA ANAESTH SCAND, V5, P107 42230 STALLINGER A, 2002, RESUSCITATION, V54, P167 42231 VONGOEDECKE A, 2005, RESUSCITATION, V64, P321 42232 WAGNERBERGER HG, 2003, RESUSCITATION, V56, P191 42233 WAGNERBERGER HG, 2003, RESUSCITATION, V57, P193 42234 WALSH K, 2003, IMJ, V96, P77 42235 WEILER N, 1995, PREHOSPITAL DISASTER, V10, P101 42236 WENZEL V, 1998, CRIT CARE MED, V26, P364 42237 WENZEL V, 1999, RESUSCITATION, V43, P25 42238 WILLERSON JT, 2000, CIRCULATION, V102, P1 42239 NR 29 42240 TC 0 42241 PU ELSEVIER IRELAND LTD 42242 PI CLARE 42243 PA ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, 42244 IRELAND 42245 SN 0300-9572 42246 J9 RESUSCITATION 42247 JI Resuscitation 42248 PD JUL 42249 PY 2007 42250 VL 74 42251 IS 1 42252 BP 94 42253 EP 101 42254 PG 8 42255 SC Critical Care Medicine; Emergency Medicine 42256 GA 190OQ 42257 UT ISI:000248068900014 42258 ER 42259 42260 PT J 42261 AU Greenland, KB 42262 Tsui, D 42263 Goodyear, P 42264 Irwin, MG 42265 AF Greenland, K. B. 42266 Tsui, D. 42267 Goodyear, P. 42268 Irwin, M. G. 42269 TI Personal protection equipment for biological hazards: Does it affect 42270 tracheal intubation performance? 42271 SO RESUSCITATION 42272 LA English 42273 DT Article 42274 DE biological hazard; tracheal intubation; intubating laryngea; mask; 42275 flexible bronchoscopy; personal protection equipment 42276 ID ACUTE RESPIRATORY SYNDROME; LARYNGEAL MASK AIRWAY; CRITICALLY-ILL 42277 PATIENTS; ENDOTRACHEAL INTUBATION; MEDICAL PERSONNEL; SARS PATIENTS; 42278 GEAR; TRANSMISSION; ANESTHESIA; CROSSOVER 42279 AB Purpose: Personal protection equipment (PPE) is recommended for use 42280 during airway management of patients with highly contagious respiratory 42281 tract illness. While its use in chemical hazards and its effect on 42282 airway management has been assessed previously, there has been no 42283 research assessing whether this equipment affects the ability to 42284 perform tracheal intubation. It is the intention of this investigation 42285 to answer this question. 42286 Methods: Eighteen workers at various level of training were asked to 42287 wear three different types of PPE while performing four different types 42288 of tracheal, intubation. The PPE used included the eye shield, face 42289 shield and the "Dustmaster (TM)". The intubation techniques were direct 42290 laryngoscopy, intubation through the intubating laryngeal mask(Fastrach 42291 (TM)) and flexible bronchoscopy using the eyepiece and an eyepiece with 42292 camera attached. We assessed the time to intubate as well as the 42293 incidence of oesophageal intubation. A short questionnaire was used to 42294 examine participants' subjective experiences of wearing the various 42295 types of PPE. 42296 Results: There was no significant effect on the time to intubation for 42297 any of the methods studied. However, all subjects found that the face 42298 shield was uncomfortably hot to wear. Fibreoptic bronchoscopic 42299 intubation using the eyepiece was particularly difficult with all of 42300 the PPE used due to the distance of the subjects' eye from the eyepiece. 42301 C1 Royal Brisbane & Womens Hosp, Dept Anaesthesia & Perioperat Med, Brisbane, Qld 4006, Australia. 42302 Univ Queensland, Sch Med, St Lucia, Qld 4067, Australia. 42303 Univ Hong Kong, Queen Mary Hosp, Dept Anaesthesiol, Hong Kong, Hong Kong, Peoples R China. 42304 RP Greenland, KB, Royal Brisbane & Womens Hosp, Dept Anaesthesia & 42305 Perioperat Med, Butterfield St, Brisbane, Qld 4006, Australia. 42306 EM french9a@yahoo.co.uk 42307 CR *CDCP, 2003, INF CONTR PREC AER G 42308 *WHO, AV INFL INCL INFL A 42309 BENABRAHAM R, 2004, AM J EMERG MED, V22, P24 42310 BERKENSTADT H, 2003, ANESTH ANALG, V96, P1739 42311 FLAISHON R, 2004, ANESTHESIOLOGY, V100, P260 42312 FLAISHON R, 2004, ANESTHESIOLOGY, V100, P267 42313 FOWLER RA, 2003, JAMA-J AM MED ASSOC, V290, P367 42314 FOWLER RA, 2004, AM J RESP CRIT CARE, V169, P1198 42315 GARNER A, 2004, EMERG MED AUSTRALAS, V16, P108 42316 HENDLER I, 2000, MIL MED, V165, P272 42317 KAMMING D, 2003, BRIT J ANAESTH, V90, P715 42318 KONRAD C, 1998, ANESTH ANALG, V86, P635 42319 KWAN A, 2004, BRIT J ANAESTH, V92, P280 42320 LAPINSKY SE, 2004, CURR OPIN CRIT CARE, V10, P53 42321 LEW TWK, 2003, JAMA-J AM MED ASSOC, V290, P374 42322 LIU EH, 2004, ANESTHESIOLOGY, V100, P1629 42323 LOEB M, 2004, EMERG INFECT DIS, V10, P251 42324 LOUTFY MR, 2004, EMERG INFECT DIS, V10, P771 42325 ONG MEH, 2004, CJEM, V6, P31 42326 SETO WH, 2003, LANCET, V361, P1519 42327 SMITH JE, 1997, ANAESTHESIA, V52, P101 42328 TING CK, 2005, CAN J ANAESTH, V52, P446 42329 WEDMORE IS, 2003, MIL MED, V168, P876 42330 WONG DT, 2003, CAN J ANAESTH, V50, P747 42331 NR 24 42332 TC 0 42333 PU ELSEVIER IRELAND LTD 42334 PI CLARE 42335 PA ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, 42336 IRELAND 42337 SN 0300-9572 42338 J9 RESUSCITATION 42339 JI Resuscitation 42340 PD JUL 42341 PY 2007 42342 VL 74 42343 IS 1 42344 BP 119 42345 EP 126 42346 PG 8 42347 SC Critical Care Medicine; Emergency Medicine 42348 GA 190OQ 42349 UT ISI:000248068900018 42350 ER 42351 42352 PT J 42353 AU Smith, R 42354 AF Smith, Roger 42355 TI What CTOs do 42356 SO RESEARCH-TECHNOLOGY MANAGEMENT 42357 LA English 42358 DT Article 42359 DE Chief Technology Officer; CTO; innovation; career management 42360 AB The Chief Technology Officer position has been adopted by a wide 42361 variety of industries that are seeking to leverage technology within 42362 products and services. The position calls for an operational executive 42363 who can make important strategic decisions that impact the competitive 42364 position of the company. However, little research has been done to 42365 define the CTO's responsibilities, methods of evaluating the person's 42366 performance, and the skills that he or she should bring to the office. 42367 This paper identifies five dominant patterns of the CTO position, 42368 labeled the Genius, Administrator, Director, Executive, and Advocate. 42369 These patterns are useful in understanding the diversity within the 42370 position and in matching a CTO from a specific pattern to a business 42371 with unique issues to be addressed. 42372 C1 USA, Simulat Training & Instrumentat, Orlando, FL USA. 42373 RP Smith, R, USA, Simulat Training & Instrumentat, Orlando, FL USA. 42374 EM rdsmith@modelbenders.com 42375 CR *INT CORP, INT EX BIO PATR 42376 *NAT AC, AER SPAC ENG BOARD 42377 BOORSTEIN J, FORTUNE MAGAZIN 0915 42378 BROCMAN J, NATHAN MYHRVOLD CHEF 42379 GOTCHER R, 2000, IT WORLD ONLINE 42380 JONES J, 2000, IT WORLD ONLINE 42381 MADCOF J, 2007, RES TECHNOL MANAGE, P23 42382 PARKER DP, 2002, CHANGING ROLE CHIEF 42383 PATTON S, 2002, CIO MAGAZINE 1015 42384 SMITH, 2003, RES TECHNOLOGY MANAG, P28 42385 SPIERS D, 2001, TECHNOLOGYS EASY PEO 42386 NR 11 42387 TC 0 42388 PU INDUSTRIAL RESEARCH INSTITUTE, INC 42389 PI ARLINGTON 42390 PA 2200 CLARENDON BLVD, STE 1102, ARLINGTON, VA 22201 USA 42391 SN 0895-6308 42392 J9 RES TECHNOL MANAGE 42393 JI Res.-Technol. Manage. 42394 PD JUL-AUG 42395 PY 2007 42396 VL 50 42397 IS 4 42398 BP 18 42399 EP 22 42400 PG 5 42401 SC Business; Engineering, Industrial; Management 42402 GA 186FA 42403 UT ISI:000247763300010 42404 ER 42405 42406 PT J 42407 AU Badawy, MK 42408 AF Badawy, Michael K. 42409 TI Managing human resources 42410 SO RESEARCH-TECHNOLOGY MANAGEMENT 42411 LA English 42412 DT Review 42413 DE human resources; planning; rewards; performance appraisal; career 42414 management 42415 ID PERFORMANCE; ROLES 42416 AB 2007 is Research-Technology Management's 50th year of publication. To 42417 mark the occasion, each issue reprints one of RTM's six most frequently 42418 referenced articles. The articles were identified by N. Thongpapanl and 42419 Jonathan D. Linton in their 2004 study of technology innovation 42420 management journals, a citation-based study in which RTM ranked third 42421 out of 25 specialty journals in that field (see RTM, May-June 2004, pp. 42422 5-6). The article reprinted here was originally published in 1988 and 42423 has been updated with its author's reflections." It surveys what had 42424 been learned about the management of human resources during the 42425 previous 50 years since the Industrial Research Institute's founding in 42426 1938. The focus is on the effective utilization of technical 42427 professionals, which the author breaks into four "distinct, yet, 42428 interrelated components or sub-systems": an effective human resource 42429 planning, reward, performance appraisal, and career planning system. 42430 After discussing the major research findings and lessons for each 42431 element, the article concludes with a research agenda for the next 50 42432 years. 42433 C1 Virginia Polytech Inst & State Univ, Merrifield, VA 24061 USA. 42434 RP Badawy, MK, Virginia Polytech Inst & State Univ, Merrifield, VA 24061 42435 USA. 42436 EM mbadawy@vt.edu 42437 CR 1985, R&D MANAGE, V15, P71 42438 1985, TIME 0204, P36 42439 1987, 87605 NSF 42440 1987, BUSINESS WEEK 0202, P74 42441 *AL SOFTW, 2006, ROADMAP YOUR WAY BET 42442 *HUGH AIRCR COMP, 1974, R D PROD 42443 *IND RES I, 1981, LIV CAS HIST IND INN 42444 *IND RES I, 1986, R D PROD 42445 *NAT RES COUNC, 1987, MAN TECHN HIDD ADV, P15 42446 ALLEN TJ, 1977, MANAGING FLOW TECHNO 42447 ALLEN TJ, 1986, R&D MANAGE, V16, P185 42448 ALLEN, 1985, 169285 MIT SLOAN SCH 42449 BADAWY MK, P 1987 IEEE CAR C, P152 42450 BADAWY MK, 1970, ACAD MANAGEMENT JUN 42451 BADAWY MK, 1971, CALIFORNIA MANAG FAL, P11 42452 BADAWY MK, 1971, PERSONNEL J JUN, P449 42453 BADAWY MK, 1973, HUMAN ORG SUM 42454 BADAWY MK, 1976, J SOC RES ADM FAL, P9 42455 BADAWY MK, 1978, IEEE T ENG MANAGE, P37 42456 BADAWY MK, 1982, DEV MANAGERIAL SKILL, CH3 42457 BADAWY MK, 1983, RES MANAGEMENT JUL, P28 42458 BADAWY MK, 1985, CHEM ENG NEWS 1028 42459 BADAWY MK, 1986, INT C ENG MANAGE SEP 42460 BADAWY MK, 1986, P ANN NAT DES ENG C 42461 BADAWY MK, 1986, RES MANAGEMENT JUL, P28 42462 BADAWY MK, 1986, RES MANAGEMENT JUL, P33 42463 BADAWY MK, 1987, WALL STREET J FEB 42464 BADAWY MK, 1995, DEV MANAGERIAL SKILL 42465 BALDERSTON J, 1984, MODERN MANAGEMENT TE, P241 42466 BERNARDIN HJ, 1985, PERFORMANCE APPRAISA 42467 CHAKRABARTI AK, 1974, CALIFORNIA MANAGEMEN, P58 42468 CHALUPSKI A, 1964, PERSONNEL PSYCHO WIN, P385 42469 COLLINS JD, 2006, J ENG TECHNOL MANAGE, V23, P147 42470 DALTON GW, 1986, NOVATIONS STRATEGIES, P7 42471 DALTON GW, 1986, NOVATIONS STRATEGIES, CH3 42472 DALTON, 1986, IEEE SPECTRUM DEC, P43 42473 DESOURZA KC, 2005, NEW FRONTIERS KNOWLE 42474 DRUCKER PF, 1952, HARVARD BUSINESS MAY 42475 DRUCKER PF, 1975, WALL STREET J 1107 42476 DRUCKER PF, 1987, ACAD MANAGEMENT FEB, P13 42477 DRUCKER PF, 2002, HARVARD BUSINESS AUG, P5 42478 EDWARDS SA, 1973, RES MANAGEMENT JAN, P34 42479 EVANS B, 1972, PERSONNEL ADM SEP, P35 42480 FELSHER SM, 164085 MIT SLOAN SCH 42481 FISCHER WA, 1986, RES MANAGE, P13 42482 FLORIDA R, 2004, HARVARD BUSINESS MAR, P161 42483 FROHMAN AL, 1976, RES MANAGEMENT JUL, P7 42484 GERSTENFELD A, 1970, BUSINESS HORIZON APR, P47 42485 GOLDSTEIN ML, 1988, IND WEEK 0104, P57 42486 HALL D, 1969, RES MANAGE, V12, P339 42487 HALL DT, 1976, CAREERS ORG, P44 42488 HENDERSON R, 1980, PERFORMANCE APPRAISA 42489 HILBERRY N, 1953, ELEMENTS BASIC RES M 42490 HILL ID, 1987, RES MANAGEMENT MAY, P33 42491 HINCH I, 1958, HARVARD BUS REV, V36, P66 42492 HOLLEY WH, 1973, PERSONNEL ADM MAR, P21 42493 HUGHES E, 1968, HARVARD BUSINESS JAN 42494 JAUCH LR, 1976, RES MANAGEMENT NOV, P23 42495 KATZ R, 1981, R&D MANAGE, V11, P103 42496 KAUFMAN HG, 1974, J APPL PSYCHOL, P377 42497 KELTON G, 1983, R D MANAGEMENT OCT, P9 42498 KOTTER JP, 1982, GEN MANAGERS 42499 LYNN L, 2006, ISSUES SCI TECHNOL, P75 42500 MACCOBY M, 1984, IEEE SPECTRUM JUN, P69 42501 MAIDIQUE MA, 1980, SLOAN MANAGEMENT WIN, P59 42502 MARQUIS DG, 1999, MANAGEMENT FACTORS P 42503 MERRIFIELD B, 1976, RES MANAGEMENT NOV 42504 MEYER HH, 1965, HARVARD BUS REV, V43, P123 42505 MICHAELROTH L, 1986, CRITICAL EXAMINATION 42506 MOSER RA, 1987, RES MANAGEMENT MAY, P30 42507 MYERS RR, 1970, IND RELATIONS OCT, P437 42508 MYERS S, 1964, HARVARD BUSINESS JAN, P74 42509 OBRIEN TL, 2005, NY TIMES 1113 42510 PACHARN P, 2007, J ENG TECHNOL MANAGE, V23, P114 42511 PAKE GE, 1986, P C BOARD NAT C RES 42512 PATTEN TH, 1982, MANAGERS GUIDE PERFO 42513 PELZ D, 1976, SCI ORG 42514 PETERS TJ, 1982, SEARCH EXCELLENCE 42515 PINCHOT G, 1985, INTRAPRENEURING 42516 RAELIN JA, 1985, P IEEE CAREER C 42517 RICHARD A, 1985, RES MANAGEMENT MAY, P15 42518 ROBERTS EA, 1977, TECHNOLOGY REV OCT, P27 42519 ROBERTS EB, 1968, RES MANAGEMENT 42520 ROBERTS EB, 1981, SLOAN MANAGEMENT SPR, P19 42521 ROBERTS EB, 1988, TECHNOLOGY MANAG JAN, P11 42522 SHAPERO A, 1985, RES MANAGEMENT MAR 42523 SMITH TJ, 1984, RES MANAGE, P23 42524 SOUDER WE, 1981, RES MANAGEMENT MAY, P18 42525 SOUTH JC, 1980, PERSONNEL PSYCHO SUM, P371 42526 SQUIRES MF, 1984, J SOC RES ADM WIN, P8 42527 STEERS RM, 1975, ADM SCI Q, V20, P546 42528 STRAUSS RS, 1966, PERCEPTION MOTOR SKI, V23, P471 42529 STUMPF SA, 1977, J APPL BEHAV SCI, V13, P507 42530 TURNER WJ, 1979, RES MANAGEMENT JUL, P24 42531 VANDUREN A, 1976, DISSERT ABSTR, V37, P1954 42532 WHITLEY R, 1971, HUM RELAT, V24, P161 42533 WOLFF M, 1987, RES MANAGEMENT MAY, P8 42534 WOLFF MF, 1984, RES MANAGEMENT JAN, P8 42535 WOLFF MF, 1985, RES MANAGEMENT MAR, P7 42536 WOLFF MF, 1987, RESEARCH MANAGEM SEP, P7 42537 ZACHARY WB, 1984, IEEE T ENG MANAG FEB 42538 NR 101 42539 TC 0 42540 PU INDUSTRIAL RESEARCH INSTITUTE, INC 42541 PI ARLINGTON 42542 PA 2200 CLARENDON BLVD, STE 1102, ARLINGTON, VA 22201 USA 42543 SN 0895-6308 42544 J9 RES TECHNOL MANAGE 42545 JI Res.-Technol. Manage. 42546 PD JUL-AUG 42547 PY 2007 42548 VL 50 42549 IS 4 42550 BP 56 42551 EP 74 42552 PG 19 42553 SC Business; Engineering, Industrial; Management 42554 GA 186FA 42555 UT ISI:000247763300015 42556 ER 42557 42558 PT J 42559 AU Patel, SM 42560 Lingam, RK 42561 Beaconsfield, TI 42562 Tran, TL 42563 Brown, B 42564 AF Patel, Shilpan M. 42565 Lingam, Ravi K. 42566 Beaconsfield, Tina I. 42567 Tran, Tan L. 42568 Brown, Beata 42569 TI Role of radiology in the management of primary aldosteronism 42570 SO RADIOGRAPHICS 42571 LA English 42572 DT Article 42573 ID HYPERALDOSTERONISM CONNS-SYNDROME; ACETIC-ACID INJECTION; DELAYED 42574 ENHANCED CT; COMPUTED-TOMOGRAPHY; ADRENAL ADENOMAS; UNILATERAL 42575 ALDOSTERONOMA; HYPERTENSIVE DISEASE; SURGICAL-MANAGEMENT; SCINTIGRAPHY; 42576 LOCALIZATION 42577 AB The diagnosis of primary aldosteronism, the most common form of 42578 secondary hypertension, is based on clinical and biochemical features. 42579 Although radiology plays no role in the initial diagnosis, it has an 42580 important role in differentiating between the two main causes of 42581 primary aldosteronism: aldosterone-producing adenoma (APA) and 42582 bilateral adrenal hyperplasia (BAH). This distinction is important 42583 because APAs are generally managed surgically and BAH medically. 42584 Adrenal venous sampling is considered the standard of reference for 42585 determining the cause of primary aldosteronism but is technically 42586 demanding, operator dependent, costly, and time consuming, with a low 42587 but significant complication rate. Other imaging modalities, including 42588 computed tomography, magnetic resonance imaging, and adrenal 42589 scintigraphy, have also been used to determine the cause of primary 42590 aldosteronism. Cross-sectional imaging has traditionally focused on 42591 establishing the diagnosis of an APA, with that of BAH being one of 42592 exclusion. A high specificity for detecting an APA is desirable, since 42593 it will avert unnecessary surgery in patients with BAH. However, an 42594 overreliance on cross-sectional imaging can lead to the incorrect 42595 treatment of affected patients, mainly due to the wide variation in the 42596 reported diagnostic performance of these modalities. A combination of 42597 modalities is usually required to confidently determine the cause of 42598 primary aldosteronism. The quest for optimal radiologic management of 42599 primary aldosteronism continues just over a half century since this 42600 disease entity was first described. 42601 C1 NW London Hosp, Cent Middlesex & NW Pk Hosp, Dept Radiol & Endocrinol, Harrow HA1 3UJ, Middx, England. 42602 RP Lingam, RK, NW London Hosp, Cent Middlesex & NW Pk Hosp, Dept Radiol & 42603 Endocrinol, Trsut Watford Rd, Harrow HA1 3UJ, Middx, England. 42604 EM raviklingam@yahoo.co.uk 42605 CR AL FM, 2004, SURG CLIN N AM, V84, P887 42606 AUDA SP, 1980, ANN SURG, V191, P1 42607 BOLAND GWL, 1998, AM J ROENTGENOL, V171, P201 42608 BROWN CA, 2002, AM J MED SCI, V324, P227 42609 CAOILI EM, 2000, AM J ROENTGENOL, V175, P1411 42610 CAOILI EM, 2002, RADIOLOGY, V222, P629 42611 CONN JW, 1955, J LAB CLIN MED, V45, P3 42612 CONN JW, 1955, J LAB CLIN MED, V45, P661 42613 CONN JW, 1955, T ASSOC AM PHYSICIAN, V68, P215 42614 CONN JW, 1976, J LAB CLIN MED, V88, P841 42615 DAUNT N, 2005, RADIOGRAPHICS, V25, S143 42616 DEGASPARO M, 1987, J PHARMACOL EXP THER, V240, P650 42617 DOPPMAN JL, 1992, RADIOLOGY, V184, P677 42618 DOPPMAN JL, 1996, RADIOLOGY, V198, P309 42619 DUNN PJ, 1976, AUST NZ J MED, V6, P131 42620 DUNNICK NR, 1993, AM J ROENTGENOL, V160, P321 42621 FALLO F, 1997, AM J HYPERTENS 1, V10, P476 42622 FARDELLA CE, 2000, J CLIN ENDOCR METAB, V85, P1863 42623 FOO R, 2001, POSTGRAD MED J, V77, P639 42624 GARROD O, 1956, LANCET, V270, P860 42625 GLODNY B, 2000, ENDOCR J, V47, P657 42626 GROSS MD, 1984, AM J MED, V77, P839 42627 GROSS MD, 1989, SEMIN NUCL MED, V19, P122 42628 GROSS MD, 1999, Q J NUCL MED, V43, P224 42629 HARPER R, 1999, QJM-MON J ASSOC PHYS, V92, P643 42630 HARRIS DA, 2003, EUR J SURG ONCOL, V29, P467 42631 HERD GW, 1987, CLIN ENDOCRINOL, V26, P699 42632 HIROHARA D, 2001, J CLIN ENDOCR METAB, V86, P4292 42633 HOKOTATE H, 2003, RADIOLOGY, V227, P401 42634 HOLLAK CEM, 1991, J INTERN MED, V229, P545 42635 IKEDA DM, 1989, AM J ROENTGENOL, V153, P301 42636 INOUE H, 1997, AM J ROENTGENOL, V168, P1241 42637 KAPLAN NM, 2004, J HYPERTENS, V22, P863 42638 KAZEROONI EA, 1990, J NUCL MED, V31, P526 42639 KOROBKIN M, 1996, RADIOLOGY, V200, P743 42640 KOROBKIN M, 1998, AM J ROENTGENOL, V170, P747 42641 LIANG HL, 1999, RADIOLOGY, V213, P612 42642 LIM PO, 1999, LANCET, V353, P40 42643 LINGAM RK, 2003, AM J ROENTGENOL, V181, P843 42644 LINGAM RK, 2004, EUR RADIOL, V14, P1787 42645 LUMACHI F, 2003, NUCL MED COMMUN, V24, P683 42646 MAGILL SB, 2001, J CLIN ENDOCR METAB, V86, P1066 42647 MELBY JC, 1967, NEW ENGL J MED, V277, P1050 42648 MINOWADA S, 2003, J CLIN ENDOCR METAB, V88, P5814 42649 MONTORI VM, 2002, ENDOCRIN METAB CLIN, V31, P619 42650 MOSSO L, 2003, HYPERTENSION, V42, P161 42651 NAKAHAMA H, 2003, AM J HYPERTENS 1, V16, P725 42652 NAKAJO M, 2000, BIOMED PHARMACOTHE S, V54, S119 42653 NOCAUDIECALZADA M, 1999, EUR J NUCL MED, V26, P1326 42654 NOMURA K, 1990, J CLIN ENDOCR METAB, V71, P825 42655 OUTWATER EK, 1995, AM J ROENTGENOL, V165, P579 42656 RESCHINI E, 1991, EUR J NUCL MED, V18, P817 42657 ROSSI GP, 2001, J CLIN ENDOCR METAB, V86, P1083 42658 SCHWARTZ GL, 2002, CLIN CHEM, V48, P1919 42659 SHEAVES R, 1996, EUR J ENDOCRINOL, V134, P308 42660 SOHAIB SA, 2000, RADIOLOGY, V214, P527 42661 TSUSHIMA Y, 1994, J CLIN ENDOCR METAB, V79, P1759 42662 VEGLIO F, 2003, MINERVA MED, V94, P259 42663 VINCENT JM, 1994, CLIN RADIOL, V49, P453 42664 WEINBERGER MH, 2002, AM J HYPERTENS, V15, P709 42665 YAMADA T, 2003, EUR J RADIOL, V48, P198 42666 YOUNG WF, 2003, ENDOCRINOLOGY, V144, P2208 42667 YOUNG WF, 2004, SURGERY, V136, P1227 42668 ZILLICH AJ, 2002, ANN PHARMACOTHER, V36, P1567 42669 NR 64 42670 TC 0 42671 PU RADIOLOGICAL SOC NORTH AMERICA 42672 PI OAK BROOK 42673 PA 820 JORIE BLVD, OAK BROOK, IL 60523 USA 42674 SN 0271-5333 42675 J9 RADIOGRAPHICS 42676 JI Radiographics 42677 PD JUL-AUG 42678 PY 2007 42679 VL 27 42680 IS 4 42681 BP 1145 42682 EP U49 42683 PG 14 42684 SC Radiology, Nuclear Medicine & Medical Imaging 42685 GA 188GZ 42686 UT ISI:000247909400017 42687 ER 42688 42689 PT J 42690 AU Hosokawa, T 42691 Kikuchi, Y 42692 Shimada, M 42693 Fukatsu, T 42694 AF Hosokawa, Takahiro 42695 Kikuchi, Yoshitomo 42696 Shimada, Masakazu 42697 Fukatsu, Takema 42698 TI Obligate symbiont involved in pest status of host insect 42699 SO PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES 42700 LA English 42701 DT Article 42702 DE Megacopta punctatissima; Megacopta cribraria; Candidatus Ishikawaella 42703 capsulata; symbiont capsule; plant adaptation; pest evolution 42704 ID MEGACOPTA-PUNCTATISSIMA; BACTERIAL SYMBIONTS; PLATASPID STINKBUG; PEA 42705 APHIDS; SPECIALIZATION; ENDOSYMBIONTS; RESISTANCE; CAPSULE; SYSTEMS; 42706 BUGS 42707 AB The origin of specific insect genotypes that enable efficient use of 42708 agricultural plants is an important subject not only in applied fields 42709 like pest control and management but also in basic disciplines like 42710 evolutionary biology. Conventionally, it has been presupposed that such 42711 pest-related ecological traits are attributed to genes encoded in the 42712 insect genomes. Here, however, we report that pest status of an insect 42713 is principally determined by symbiont genotype rather than by insect 42714 genotype. A pest stinkbug species, Megacopta punctatissima, performed 42715 well on crop legumes, while a closely related non-pest species, 42716 Megacopta cribraria, suffered low egg hatch rate on the plants. When 42717 their obligate gut symbiotic bacteria were experimentally exchanged 42718 between the species, their performance on the crop legumes was, 42719 strikingly, completely reversed: the pest species suffered low egg 42720 hatch rate, whereas the non-pest species restored normal egg hatch rate 42721 and showed good performance. The low egg hatch rates were attributed to 42722 nymphal mortality before or upon hatching, which were associated with 42723 the symbiont from the non-pest stinkbug irrespective of the host insect 42724 species. Our finding sheds new light on the evolutionary origin of 42725 insect pests, potentially leading to novel approaches to pest control 42726 and management. 42727 C1 AIST, Inst Biol Resources & Funct, Tsukuba, Ibaraki 3058566, Japan. 42728 Univ Tokyo, Dept Syst Sci, Tokyo 1538902, Japan. 42729 Univ Connecticut, Dept Mol & Cell Biol, Storrs, CT 06269 USA. 42730 RP Fukatsu, T, AIST, Inst Biol Resources & Funct, Tsukuba, Ibaraki 42731 3058566, Japan. 42732 EM t-fukatsu@aist.go.jp 42733 CR *R DEV COR TEAM, 2006, R LANG ENV STAT COMP 42734 ABE Y, 1995, JPN J APPL ENTOMOL Z, V39, P109 42735 BAUMANN P, 2000, PROKARYOTES, P1 42736 BENBEARD C, 2002, ANNU REV ENTOMOL, V47, P123 42737 BERLOCHER SH, 2002, ANNU REV ENTOMOL, V47, P773 42738 BOURTZIS K, 2003, INSECT SYMBIOSIS 42739 BOURTZIS K, 2006, INSECT SYMBIOSIS, V2 42740 BRAENDLE C, 2003, PLOS BIOL, V1, P70 42741 BRODERICK NA, 2006, P NATL ACAD SCI USA, V103, P15196 42742 BUCHNER P, 1965, ENDOSYMBIOSIS ANIMAL 42743 COYNE JA, 2004, SPECIATION 42744 CRAWLEY MJ, 1993, GLIM ECOLOGISTS 42745 CRAWLEY MJ, 2005, STAT INTRO USING R 42746 DOBSON SL, 2003, TRENDS PARASITOL, V19, P128 42747 DOUGLAS AE, 1989, BIOL REV, V64, P409 42748 DURVASULA RV, 1997, P NATL ACAD SCI USA, V94, P3274 42749 ENDO N, 2002, KYUSYU PL PROT RES, V48, P68 42750 FEDER JL, 1988, NATURE, V336, P61 42751 FUKATSU T, 2002, APPL ENVIRON MICROB, V68, P389 42752 HAWTHORNE DJ, 2001, NATURE, V412, P904 42753 HOSOKAWA T, 2005, FEMS MICROBIOL ECOL, V54, P471 42754 HOSOKAWA T, 2006, PLOS BIOL, V4, E377 42755 KARBAN R, 2002, ANNU REV ECOL SYST, V33, P641 42756 KIKUCHI Y, 2003, APPL ENVIRON MICROB, V69, P6082 42757 KOGA R, 2003, P ROY SOC LOND B BIO, V270, P2543 42758 KONO S, 1990, JPN J APPL ENTOMOL Z, V34, P89 42759 LEONARDO TE, 2006, P R SOC B, V273, P1079 42760 MCCULLAGH P, 1989, GEN LINEAR MODELS 42761 MONTLLOR CB, 2002, ECOL ENTOMOL, V27, P189 42762 MULLER HJ, 1956, Z MORPHOL OKOL TIERE, V44, P459 42763 OLIVER KM, 2003, P NATL ACAD SCI USA, V100, P1803 42764 OLIVER KM, 2005, P NATL ACAD SCI USA, V102, P12795 42765 RUSSELL JA, 2006, P R SOC B, V273, P603 42766 SCARBOROUGH CL, 2005, SCIENCE, V310, P1781 42767 SCHAEFER CW, 2000, HETEROPTERA EC IMPOR 42768 SCHNEIDER G, 1940, Z MORPHOL OKOL TIERE, V36, P565 42769 SHOONHOVEN LM, 2005, INSECT PLANT BIOL 42770 SINKINS SP, 2006, NAT REV GENET, V7, P427 42771 TOMOKUNI M, 1993, FIELD GUIDE JAPANESE 42772 TSUCHIDA T, 2004, SCIENCE, V303, P1989 42773 VIA S, 1990, ANNU REV ENTOMOL, V35, P421 42774 ZABALOU S, 2004, P NATL ACAD SCI USA, V101, P15042 42775 NR 42 42776 TC 0 42777 PU ROYAL SOCIETY 42778 PI LONDON 42779 PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND 42780 SN 0962-8452 42781 J9 PROC R SOC B 42782 JI Proc. R. Soc. B-Biol. Sci. 42783 PD AUG 22 42784 PY 2007 42785 VL 274 42786 IS 1621 42787 BP 1979 42788 EP 1984 42789 PG 6 42790 SC Biology 42791 GA 188GF 42792 UT ISI:000247906800008 42793 ER 42794 42795 PT J 42796 AU Wong, KS 42797 Parkin, RM 42798 Coy, J 42799 AF Wong, K. S. 42800 Parkin, R. M. 42801 Coy, J. 42802 TI Integration of the Cimosa and high-level coloured Petri net modelling 42803 techniques with application in the postal process using hierarchical 42804 dispatching rules 42805 SO PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL 42806 OF ENGINEERING MANUFACTURE 42807 LA English 42808 DT Article 42809 DE Cimosa; enterprise modelling; high-level coloured Petri net; 42810 dispatching rule; mail sorting process 42811 ID SYSTEMS; TOOL; SIMULATION 42812 AB Enterprise processes, i.e. business and manufacturing, rely on 42813 enterprise modelling and simulation tools to assess the quality of 42814 their structure and performance in an unobtrusive and cost-effective 42815 way. Each of these processes is a collaboration of inseparable elements 42816 such as resources, information, operations, and organization. In order 42817 to provide a more complete assessment of enterprise processes, a 42818 simulation approach that allows communication and interaction among 42819 these elements needs to be provided. The simulation approach requires 42820 an analysis of the performance of each element and its influence on 42821 other elements in an object-oriented way. It also needs to have the 42822 capability to represent the structures and dynamics of the elements 42823 mentioned, and to present the performance assessment comprehensively. 42824 This will ensure a more holistic simulation modelling task. 42825 These simulation requirements have motivated the investigation of the 42826 novel integration of two popular enterprise process modelling methods: 42827 Cimosa and high-level coloured Petri net. The Cimosa framework is used 42828 to formalize the enterprise modelling procedure in the aspects of 42829 representing process elements, structure, behaviours, and 42830 relationships. The high-level coloured Petri nets method provides the 42831 mechanism to simulate the dynamics of objects and their 42832 characteristics, and also to enable communication among the objects. 42833 The approach is applied on a postal process model, which involves 42834 elements from manufacturing processes, i.e. machine processing 42835 (sorting), inventory (storage), product flow, and resource planning. 42836 Simulation studies based on the hierarchical dispatching rules show 42837 that the integrated approach is able to present vital information 42838 regarding the communication method, resource management, and the effect 42839 of interactions among these manufacturing process elements, which are 42840 not provided by the current modelling system in the postal company. The 42841 current paper has presented a novel mechanism, i.e. Cimosa-HCTSPN 42842 modelling approach, to extract information on process elements and 42843 their interactions. It has also presented the novel hierarchical 42844 dispatching rules and contributed to the extension of information that 42845 can be represented for a postal process. 42846 C1 Loughborough Univ Technol, Mechatron Res Ctr, Loughborough LE11 3TU, Leics, England. 42847 Loughborough Univ Technol, Wolfson Sch Mech & Mfg Engn, Loughborough LE11 3TU, Leics, England. 42848 Technol Res Grp, Swindon, Wilts, England. 42849 RP Wong, KS, Loughborough Univ Technol, Mechatron Res Ctr, Loughborough 42850 LE11 3TU, Leics, England. 42851 EM ksh_wong@msn.com 42852 CR AGUIAR MWC, 1999, INT J PROD RES, V37, P1767 42853 BRUNO G, 1999, COMPUT IND, V40, P279 42854 CHAN FTS, 2003, J MAT PROCESS TECHNO, V138, P325 42855 CHEN J, 2003, INT J ADV MANUF TECH, V21, P98 42856 CHEN SC, 2004, HUM EXP TOXICOL, V23, P1 42857 DOMINIC PDD, 2004, INT J ADV MANUF TECH, V24, P70 42858 DONG M, 2001, ROBOT CIM-INT MANUF, V17, P121 42859 JENSEN K, 1997, COLOURED PETRI NETS 42860 KOSANKE K, 1999, COMPUT IND, V40, P83 42861 LEVI MH, 1999, COMPUT IND, V40, P267 42862 LIN JT, 2001, INT J PROD RES, V39, P1221 42863 LIN MH, 2000, INT J PROD RES, V38, P3305 42864 MONFARED RP, 2002, P I MECH ENG B-J ENG, V216, P1413 42865 ORTIZ A, 1999, COMPUT IND, V40, P207 42866 RAJENDRAN C, 1999, EUR J OPER RES, V116, P156 42867 REYNERI C, COMPUTERS IND, V40, P115 42868 SULE DR, 1997, IND SCHEDULING 42869 VANDERAALST WMP, 2001, DECIS SUPPORT SYST, V30, P451 42870 VERNADAT FB, 1996, ENTERPRISE MODELING 42871 VERNADAT FB, 2002, ANNU REV CONTROL, V26, P15 42872 VONDERAALST WMP, 1994, COMPUT IND, V25, P45 42873 WONG KS, P MECHATRONICS ROBOT, V1, P388 42874 ZHOU MC, 1999, MODELING SIMULATION 42875 ZIMMERMANN A, 1999, INT J ADV MANUF TECH, V15, P132 42876 NR 24 42877 TC 0 42878 PU PROFESSIONAL ENGINEERING PUBLISHING LTD 42879 PI WESTMINISTER 42880 PA 1 BIRDCAGE WALK, WESTMINISTER SW1H 9JJ, ENGLAND 42881 SN 0954-4054 42882 J9 PROC INST MECH ENG B-J ENG MA 42883 JI Proc. Inst. Mech. Eng. Part B-J. Eng. Manuf. 42884 PD MAY 42885 PY 2007 42886 VL 221 42887 IS 5 42888 BP 775 42889 EP 786 42890 PG 12 42891 SC Engineering, Manufacturing; Engineering, Mechanical 42892 GA 190ZV 42893 UT ISI:000248100400002 42894 ER 42895 42896 PT J 42897 AU Mazerolle, L 42898 Rombouts, S 42899 McBroom, J 42900 AF Mazerolle, Lorraine 42901 Rombouts, Sacha 42902 McBroom, James 42903 TI The impact of COMPSTAT on reported crime in Queensland 42904 SO POLICING-AN INTERNATIONAL JOURNAL OF POLICE STRATEGIES & MANAGEMENT 42905 LA English 42906 DT Article 42907 DE police; performance management systems; crimes; performance management; 42908 time series analysis; Australia 42909 ID HOMICIDE TRENDS; POLICE; TRAJECTORIES 42910 AB Purpose - The purpose of this paper is to evaluate the impact of 42911 Queensland Police Service's version of COMPSTAT, known as "Operational 42912 Performance Reviews" (OPRs), on reported crime. 42913 Design/methodology/approach - The paper employed interrupted time 42914 series analytic techniques to examine the impact of OPRs on various 42915 categories of reported crime in Queensland. The analyses assessed the 42916 extent to which OPRs were associated with crime reductions across the 42917 29 police districts in Queensland. 42918 Findings - The introduction of OPRs was found to be associated with a 42919 significant decrease in the total number of reported offences in 42920 Queensland. OPRs were found to have their strongest effect on reported 42921 unlawful entries into dwellings and unlawful entries into other 42922 proper-ties. The overall finding was that OPRs appeared to be a 42923 cost-effective approach to controlling crime, resulting in an overall 42924 saving of AUD$1,162,175. 42925 Practical implications - The current study suggests that COMPSTAT 42926 generally - and Queensland's OPRs in particular - can be an effective 42927 police management mechanism, which results in observable reductions in 42928 reported crimes. Moreover, OPRs appear to be most effective at reducing 42929 property-related crime. Modifications of this performance management 42930 process may help to generalize its effects to other types of crime. 42931 Originality/value - This study was the first to provide a systematic 42932 examination of the impact of OPRs on a relatively large number of 42933 offence categories. 42934 C1 Griffith Univ, Sch Criminol & Criminal Justice, Mt Gravatt, Australia. 42935 Griffith Univ, Sch Environm Studies, Mt Gravatt, Australia. 42936 RP Mazerolle, L, Griffith Univ, Sch Criminol & Criminal Justice, Mt 42937 Gravatt, Australia. 42938 EM l.mazerolle@griffith-edu.au 42939 CR *CRIM MISC COMM, 2004, PROT CHILDR INQ AB C 42940 *QUEENS GOV, 2005, QUEENS GOV POP GROWT 42941 BAYLEY DH, 1994, POLICE FUTURE 42942 BAYLEY DH, 1998, WHAT WORKS POLICING 42943 BLUMSTEIN A, 2000, CRIME DROP AM 42944 BOUZA T, 1997, LAW ENFORCEMENT NEWS, V31, P10 42945 BRATTON W, 1997, 0 TOLERANCE POLICING, P29 42946 BRATTON W, 1998, TURNAROUND AM TOP CO 42947 BRERETON D, 1999, AUSTR I CRIM C MAPP 42948 CHILVERS M, 2004, AUST NZ J CRIMINOL, V37, P22 42949 COOK TD, 1979, QUASI EXPT DESIGN AN 42950 DIXON D, 1998, CURRENT ISSUES CRIMI, V10, P96 42951 DODENHOFF P, 1996, LAW ENFORCEMENT NEWS, V458, P1 42952 ECK J, 2000, CRIME DROP AM, P207 42953 ECK JE, 1987, SOLVING PROBLEMS PRO 42954 GLASS GV, 1997, COMPLEMENTARY METHOD, P589 42955 GOLDSTEIN H, 1990, PROBLEM ORIENTED POL 42956 GOTTFREDSON M, 1990, GEN THEORY CRIME 42957 GRABOSKY P, 1999, 0 TOLERANCE POLICING, V102 42958 GREENWOOD P, 1978, CRIMINAL INVESTIGATI 42959 GRIFFITHS E, 2004, CRIMINOLOGY, V42, P941 42960 GURWITT R, 1998, GOVERNING JAN, P14 42961 HENRY V, 2002, COMPSTAT PARADIGM MA 42962 KELLING G, 1988, COMMUNITY POLICING R, P3 42963 KELLING GL, 2001, DO POLICE MATTER ANA 42964 KUBRIN CE, 2003, SOCIOL QUART, V44, P329 42965 LEVINE JP, 1975, PUBLIC POLICY, V23, P523 42966 LITTELL RC, 1996, SAS SYSTEM MIXED MOD 42967 MAAS P, 1998, PARADE 0510, P4 42968 MAGERS JS, 2004, J CONT CRIMINAL JUST, V20, P70 42969 MAPLE J, 1999, CRIME FIGHTER PUTTIN 42970 MAYHEW P, 2003, COUNTING COSTS CRIME 42971 MAZEROLLE LO, 2006, 3 PARTY POLICING 42972 MAZEROLLE LO, 2007, IN PRESS POLICE Q 42973 MCDONALD PP, 2002, MANAGING POLICE OPER 42974 MCDOWALL D, 1980, INTERRUPTED TIME SER 42975 MOORE MH, 1997, LECT SERIES US DEP J 42976 PRENZLER T, 2002, ROLE PRIVATE INVESTI, V234 42977 QUIGLEY BM, 2003, J STUD ALCOHOL, V64, P765 42978 REMNICK D, 1997, NEW YORKER 0224, P94 42979 ROSENFELD R, 2005, CRIMINOLOGY PUBLIC P, V4, P419 42980 SAFIR H, 1998, COMPSTAT PROCESS 42981 SAMPSON RJ, 1997, SCIENCE, V277, P918 42982 SHAW C, 1942, JUVENILE DELINQUENCY 42983 SHEARING C, 1987, PRIVATE POLICING 42984 SHERMAN LW, 1997, PREVENTING CRIME WHA 42985 SILVA LK, 1997, INT J QUAL HEALTH C, V9, P101 42986 SKOGAN W, 1990, DISORDER DECLINE CRI 42987 SKOGAN W, 1997, COMMUNITY POLICING C 42988 SMITH MJ, 2002, ANAL CRIME PREVENTIO 42989 TABACHNICK BG, 2001, USING MULTIVARIATE S 42990 WALSH W, 2004, J CONT CRIMINAL JUST, V20, P51 42991 WEATHERBURN D, 1999, CRIME DELINQUENCY, V45, P256 42992 WEISBURD D, 2003, CRIMINOLOGY PUBLIC P, V2, P421 42993 WEISBURD D, 2004, ANN AM ACAD POLIT SS, V593, P42 42994 WEISBURD D, 2004, CRIMINOLOGY, V42, P283 42995 WEISBURD DS, 2006, POLICE INNOVATION CO, P284 42996 WEISBURG D, 2001, COMPSTAT ORG CHANGE 42997 WHITE MD, 2003, J RES CRIME DELINQ, V40, P194 42998 WITKIN G, 1998, US NEWS WORLD R 0525, P28 42999 NR 60 43000 TC 0 43001 PU EMERALD GROUP PUBLISHING LIMITED 43002 PI BRADFORD 43003 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 43004 SN 1363-951X 43005 J9 POLICING 43006 JI Policing-An Int J Police Strategies & Manag. 43007 PY 2007 43008 VL 30 43009 IS 2 43010 BP 237 43011 EP 256 43012 PG 20 43013 SC Criminology & Penology 43014 GA 187KD 43015 UT ISI:000247845500008 43016 ER 43017 43018 PT J 43019 AU Rozza, DB 43020 Correa, AMR 43021 Leal, JS 43022 Bandarra, PM 43023 Guagnini, FS 43024 Raymundo, DL 43025 Driemeier, D 43026 AF Rozza, Daniela B. 43027 Ribeiro Correa, Andre M. 43028 Leal, Juliano S. 43029 Bandarra, Paulo M. 43030 Guagnini, Fabio S. 43031 Raymundo, Djeison L. 43032 Driemeier, David 43033 TI Experimental monensin poisoning in water buffaloes (Bubalus bubalis) 43034 and cattle 43035 SO PESQUISA VETERINARIA BRASILEIRA 43036 LA Portuguese 43037 DT Article 43038 DE buffaloes; cattle; CK levels; degenerative myopathy; monensin toxicity; 43039 monensin tolerance 43040 ID FEEDLOT CATTLE; TOXICOSIS; IONOPHORES; TOXICITY; MODE 43041 AB Monensin is widely used as a feed additive to improve performance of 43042 livestock; however accidental poisoning by this ionophore compound has 43043 been reported in a number of animal species. Typical clinical signs and 43044 lesions of monensin poisoning were induced in water buffaloes dosed 43045 with single dosages of 15, 10, 7.5, and 5mg/kg of the compound. Only 43046 buffaloes dosed with 2.5 mg/kg (1 day) and 1 mg/kg (7 days) survived. 43047 Clinical signs initiated about 6 h post-dosing and included apathy, 43048 anorexia, diarrhea, drooling, muscular weakness, locomotion disorders, 43049 dyspnea, tachycardia, jugular distension and pulse, recumbency and 43050 death. The creatine kinase (CK) levels were highly augmented in blood 43051 samples of buffaloes dosed with monensin. Most prominent gross changes 43052 were ascites, hydrothorax, hydropericardium, cardiomegaly, 43053 hepatomegaly, and focal pale areas in the myocardium and in skeletal 43054 muscles. Degeneration and necrosis of myofibers were the principal 43055 histopathological findings. Conversely, no evidence of disease, neither 43056 change in CK levels were observed in the beef cattle steers dosed with 43057 same doses, confirming preliminary findings that buffaloes are more 43058 susceptible to monensin than cattle. In addition, this communication 43059 presents the minimal toxic dosage of monensin to buffaloes and suggests 43060 that CK tests may serve as health monitoring tools in the management of 43061 buffalo herds supplemented with monensin. 43062 C1 Univ Fed Rio Grande do Sul, Dept Patol Clin Vet, BR-91500000 Porto Alegre, RS, Brazil. 43063 RP Driemeier, D, Univ Fed Rio Grande do Sul, Dept Patol Clin Vet, Av Bento 43064 Goncalves 9090,Bairro Agron, BR-91500000 Porto Alegre, RS, Brazil. 43065 EM davetpat@ufrgs.br 43066 CR ALLEN TC, 1992, LAB METHODS HISTOTEC, P53 43067 ANDRIGHETTO C, 2005, REV BRAS ZOOTECN, V34, P641 43068 BARMAN K, 2002, BUFFALO J, V18, P71 43069 BARROS CSL, 1999, PESQUISA VET BRASIL, V19, P68 43070 BARROS CSL, 2001, DOENCAS RUMINANTES E, P186 43071 BASARABA RJ, 1999, J VET DIAGN INVEST, V11, P79 43072 BERGEN WG, 1984, J ANIM SCI, V58, P1465 43073 COLLINS EA, 1978, VET REC, V103, P386 43074 GABOR LJ, 2003, AUST VET J, V81, P476 43075 GALITZER SJ, 1986, AM J VET RES, V47, P2624 43076 GEOR RJ, 1985, AUST VET J, V62, P130 43077 GONZALEZ M, 2005, CAN VET J, V46, P910 43078 HALL JH, 2004, CLIN VETERINARY TOXI, P120 43079 HOSIE BD, 1985, VET REC, V116, P132 43080 HULLAND TJ, 1993, PATHOLOGY DOMESTIC A, P183 43081 NATION PN, 1982, CAN VET J, V23, P362 43082 NOVILLA MN, 1992, VET HUM TOXICOL, V34, P66 43083 ORDIDGE RM, 1979, VET REC, V104, P375 43084 POTTER EL, 1984, J ANIM SCI, V58, P1499 43085 PRESSMAN BC, 1976, ANNU REV BIOCHEM, V45, P501 43086 PRESSMAN BC, 1982, ANN REV PHARM TOXICO, V22, P465 43087 RADOSTITS OM, 2002, DOENCAS CAUSADAS SUB, P1417 43088 ROZZA DB, 2006, J VET DIAGN INVEST, V18, P494 43089 RUMSEY TS, 1984, J ANIM SCI, V58, P1461 43090 SCHELLING GT, 1984, J ANIM SCI, V58, P1518 43091 SCHWEITZER D, 1984, J AM VET MED ASSOC, V184, P1273 43092 SHLOSBERG A, 1986, VET HUM TOXICOL, V28, P230 43093 SHLOSBERG A, 1992, VET RES COMMUN, V16, P45 43094 VANVLEET JF, 1983, AM J VET RES, V44, P1629 43095 VANVLEET JF, 1983, AM J VET RES, V44, P2133 43096 WARDROPE DD, 1983, VET REC, V112, P560 43097 NR 31 43098 TC 0 43099 PU REVISTA PESQUISA VETERINARIA BRASILEIRA 43100 PI RIO JANEIRO 43101 PA EMBRAPA-SAUDE ANIMAL, KM47 SEROPEDICA, 23851-970 RIO JANEIRO, BRAZIL 43102 SN 0100-736X 43103 J9 PESQUISA VET BRASIL 43104 JI Pesqui. Vet. Bras. 43105 PD APR 43106 PY 2007 43107 VL 27 43108 IS 4 43109 BP 172 43110 EP 178 43111 PG 7 43112 SC Veterinary Sciences 43113 GA 188JC 43114 UT ISI:000247915200009 43115 ER 43116 43117 PT J 43118 AU Dainty, A 43119 Grugulis, I 43120 Langford, D 43121 AF Dainty, Andrew 43122 Grugulis, Irena 43123 Langford, David 43124 TI Understanding construction employment: the need for a fresh research 43125 agenda 43126 SO PERSONNEL REVIEW 43127 LA English 43128 DT Editorial Material 43129 DE construction industry; employment 43130 ID CULTURE 43131 AB Purpose - As a backdrop to the empirical contributions contained within 43132 this special section, this Guest Editorial aims to review the context 43133 of construction employment. It summarises the challenges inherent in 43134 construction work which have impeded the development of human resource 43135 management within the sector and discusses the mutually supporting 43136 contributions of the papers in furthering our understanding of how to 43137 improve the performance of the industry. 43138 Design/methodology/approach - The operational context of the sector is 43139 reviewed briefly, before the efficacy of the industry's employment 43140 practices are examined through a review of the contributions contained 43141 within the special section. 43142 Findings - The papers reveal the interplay of structural and cultural 43143 factors which have led to the skills shortages currently impeding the 43144 industry's development. There is a need for the sector to modernise and 43145 formalise its working and employment practices if performance and 43146 productivity improvements are to be achieved. 43147 Originality/value - By revealing the interconnected nature of the 43148 construction employment perspectives presented within this special 43149 section, this paper presents a case for adopting a fresh 43150 transdisciplinary research agenda for addressing the industry's 43151 employment concerns. 43152 C1 Univ Loughborough, Dept Civil & Bldg Engn, Loughborough, Leics, England. 43153 Univ Bradford, Sch Management, Bradford BD7 1DP, W Yorkshire, England. 43154 Glasgow Caledonian Univ, Sch Buuilt & Nat Environm, Glasgow, Lanark, Scotland. 43155 RP Dainty, A, Univ Loughborough, Dept Civil & Bldg Engn, Loughborough, 43156 Leics, England. 43157 EM a.r.j.dainty@lboro.ac.uk 43158 CR *CITB, 2002, CITB SKILLS FOR REP 43159 *CONSTR IND COUNC, 1998, EG REP RETH CONSTR 43160 *CRISP, 2002, CULT PEOPL CONSTR RE 43161 *STRAT FOR CONSTR, 2002, ACC CHANG 43162 ATKINSON J, 1984, 88 IMS 43163 BELOUT A, 1998, INT J PROJECT MANAGE, V16, P21 43164 BOSCH G, 2005, 2 INT C TRAIN EMPL E 43165 BRESNEN MJ, 1985, SOCIOLOGY, V19, P108 43166 CASTELLS M, 1996, RISE NETWORK SOC 43167 CHOEN MG, 2003, TRAINING EXCLUDED WO, P53 43168 CLARKE L, 1998, CONSTRUCTION MANAGEM, V16, P553 43169 CLARKE L, 2000, CONSTRUCTION MANAGEM, V18, P689 43170 CLARKE L, 2004, SKILLS MATTER, P128 43171 COX A, 1997, EUROPEAN J PURCHASIN, V3, P127 43172 CROUCH C, 1999, SKILLS ANSWER POLITI 43173 CULLY M, 1999, BRITAIN WORK DEPICTE 43174 FORDE C, 2005, 2 INT C TRAIN EMPL E 43175 GRUGULIS I, 2003, HUMAN RESOURCE MANAG, V13, P45 43176 HART S, 2003, TRAINING EXCLUDED WO 43177 HILLAGE J, 2002, EMPLOYERS SKILL SURV 43178 LATHAM M, 1994, CONSTRUCTING TEAM 43179 LEGGE K, 1994, PERS MANAGE, P397 43180 LOOSEMORE M, 2003, MANAGING PEOPLE CONS 43181 OGBONNA E, 2002, J MANAGE STUD, V39, P673 43182 RAINBIRD H, 1991, FAREWELL FLEXIBILITY, P200 43183 SMIRCICH L, 1983, ADMIN SCI QUART, V28, P339 43184 TRESSELL R, 1914, RAGGED TROUSERED PHI 43185 WHITLEY R, 2003, ORGAN STUD, V24, P667 43186 WILLMOTT H, 1993, J MANAGE STUD, V30, P515 43187 YAW AD, 1997, INT J HUM RESOUR MAN, V8, P690 43188 NR 30 43189 TC 0 43190 PU EMERALD GROUP PUBLISHING LIMITED 43191 PI BRADFORD 43192 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 43193 SN 0048-3486 43194 J9 PERS REV 43195 JI Pers. Rev. 43196 PY 2007 43197 VL 36 43198 IS 4 43199 BP 501 43200 EP 508 43201 PG 8 43202 SC Psychology, Applied 43203 GA 187KA 43204 UT ISI:000247845200001 43205 ER 43206 43207 PT J 43208 AU Serpell, A 43209 Ferrada, X 43210 AF Serpell, Alfredo 43211 Ferrada, Ximena 43212 TI A competency-based model for construction supervisors in developing 43213 countries 43214 SO PERSONNEL REVIEW 43215 LA English 43216 DT Article 43217 DE line managers; construction industry; human resource management; 43218 competences; developing countries; Chile 43219 AB Purpose - To analyze the role of construction site supervisors, 43220 including foremen and general foremen, as front-line managers. The role 43221 is treated as a critical labor function and a source of value-added for 43222 construction management. 43223 Design/methodology/approach - An original model based on the labor 43224 competency management framework is proposed for training, developing 43225 and certifying construction supervisors in Chile and other developing 43226 countries. This model was developed from the findings of a case study 43227 in which the competency framework was applied to a specific 43228 construction company. 43229 Findings - This case study has demonstrated the significant potential 43230 of the competency framework for the Chilean construction sector, with 43231 its underdeveloped human resources management methods. In particular, 43232 this framework can be an effective approach to achieving the 43233 competencies required by construction site supervisors who must deal 43234 with inadequately trained workers, as is the case in many developing 43235 countries. The structured approach of the competency framework can help 43236 companies create more objective schemes for the design and 43237 implementation of training programs. 43238 Practical implications - The application of the competency approach can 43239 greatly improve the human resources management function in construction 43240 companies as well as the site performance of their personnel. The 43241 findings obtained so far in Chile can also be projected to construction 43242 companies in other developing countries in the region. 43243 Originality/value - This paper presents the first application of the 43244 competency framework to a Chilean construction company. This study is 43245 also original in the sense that the application described here was 43246 carried out in an environment where human resource conditions are quite 43247 deficient. 43248 C1 Pontificia Univ Catolica Chile, Dept Construct Engn & Management, Santiago, Chile. 43249 RP Serpell, A, Pontificia Univ Catolica Chile, Dept Construct Engn & 43250 Management, Alameda 340, Santiago, Chile. 43251 EM aserpell@ing.puc.cl 43252 CR *CAM CHIL CONSTR, 1993, PLAN ESTR CAM CHIL C 43253 *CHIL, 2003, ED CAP PERM 43254 *INEM, 1995, MET ORD FORM PROF OC 43255 *NCVER LTD, 2003, DEF GEN SKILLS GLANC 43256 ALLEN RC, 1996, APPL THEOR ELECTROPH, V6, P1 43257 CHAVEZ G, 2002, MANUAL DISENO NORMAS 43258 DATTA M, 2000, 2 INT C CONSTR DEV C, P119 43259 DRUCKER P, 2002, TREND MANAGEMENT, V4, P16 43260 EVANS J, 2002, MANAGEMENT CONTROL Q 43261 GONZALEZ A, 2002, THESIS PONTIFICIA U 43262 GONZALEZ C, 2001, THESIS PONTIFICIA U 43263 HAYES J, 2000, PERS REV, V29, P92 43264 LEBOTERF G, 2001, INGENIERIA COMPETENC 43265 LIBBRECHT S, 2002, 6 INT C COMP BAS MAN 43266 LINDGREN R, 2004, MIS QUART, V28, P435 43267 MERTENS L, 1996, COMPETENCIA LABORAL 43268 MERTENS L, 1998, GESTION COMPETENCIA 43269 RODRIGUEZ D, 2001, GESION ORG 43270 SERPELL A, 1989, REV INGENIERIA CONST, V7, P39 43271 SERPELL A, 1993, ADM OPERACIONES CONS 43272 SERPELL A, 2002, CIB PUBLICATION, V275, P765 43273 SPENCER L, 1993, COMPETENCY WORK MODE 43274 VARGAS F, 2001, ENFOQUE COMPETENCIA 43275 VARGAS F, 2002, COMPETENCIAS FORMACI 43276 WOODRUFFE C, 1991, PERSONNEL MANAGE SEP, P30 43277 NR 25 43278 TC 0 43279 PU EMERALD GROUP PUBLISHING LIMITED 43280 PI BRADFORD 43281 PA 60/62 TOLLER LANE, BRADFORD BD8 9BY, W YORKSHIRE, ENGLAND 43282 SN 0048-3486 43283 J9 PERS REV 43284 JI Pers. Rev. 43285 PY 2007 43286 VL 36 43287 IS 4 43288 BP 585 43289 EP 602 43290 PG 18 43291 SC Psychology, Applied 43292 GA 187KA 43293 UT ISI:000247845200006 43294 ER 43295 43296 PT J 43297 AU Menasce, DA 43298 Ruan, H 43299 Gomaa, H 43300 AF Menasce, Daniel A. 43301 Ruan, Honglei 43302 Gomaa, Hassan 43303 TI QoS management in service-oriented architectures 43304 SO PERFORMANCE EVALUATION 43305 LA English 43306 DT Article 43307 DE QoS; service oriented architectures; performance; QoS broker 43308 ID WEB SERVICES 43309 AB The next generation of software systems will be highly distributed, 43310 component-based and service-oriented. They will need to operate in 43311 unattended mode and possibly in hostile environments, will be composed 43312 of a large number of 'replaceable' components discoverable at run-time, 43313 and will have to run on a multitude of unknown and heterogeneous 43314 hardware and network platforms. This paper focuses on QoS management in 43315 service-oriented architectures in which service providers (SP) provide 43316 a set of interrelated services to service consumers, and a QoS broker 43317 mediates QoS negotiations between SPs and consumers. The main 43318 contributions of this paper are: (i) the description of an architecture 43319 that includes a QoS broker and service provider software components, 43320 (ii) the specification of a secure protocol for QoS negotiation with 43321 the support of a QoS broker, (iii) the specification of an admission 43322 control mechanism used by SPs, (iv) a report on the implementation of 43323 the QoS broker and SPs, and (v) the experimental validation of the 43324 ideas presented in the paper. (c) 2007 Elsevier B.V. All rights 43325 reserved. 43326 C1 George Mason Univ, Dept Comp Sci, Volgenau Sch Informat Technol & Engn, Fairfax, VA 22030 USA. 43327 George Mason Univ, Dept Informat & Software Engn, Fairfax, VA 22030 USA. 43328 RP Menasce, DA, George Mason Univ, Dept Comp Sci, Volgenau Sch Informat 43329 Technol & Engn, Room 160,MS 5C8,4400 Univ Dr, Fairfax, VA 22030 USA. 43330 EM menasce@cs.gmu.edu 43331 hruan@gmu.edu 43332 hgomaa@ise.gmu.edu 43333 CR *SOAP, SIMPL OBJ ACC PROT 43334 *UDDI, 2002, VERS 2 03 REPL SPEC 43335 *W3C, WEB SERV ACT 43336 *WSDL, WEB SERV DESCR LANG 43337 ALALI RJ, 2003, P 1 INT WORKSH MIDDL 43338 BENNANI M, 2005, P 2 INT C AUT COMP 1 43339 CAVANAUGH C, 2002, IPDPS WORKSH BIO INS, P757 43340 DERMLER G, 1996, P IEEE MULT C JAP, P113 43341 EMMERICH W, METHOD SERVICE COMPO 43342 FOSTER I, 1999, P INT WORKSH QUAL SE, P27 43343 FOSTER L, 2000, P 8 INT WORKSH QUAL, P181 43344 FROLUND S, 1998, QUALITY SERVICE AWAR 43345 GARCIAMOLINA H, 1982, IEEE T COMPUT, V31, P48 43346 GOMAA H, 1996, J DISTRIBUTED SYSTEM, V3, P162 43347 GOMAA H, 2000, ADDISONWESLEY OBJECT 43348 GOMAA H, 2000, P 2 INT WORKSH SOFTW, P117 43349 GOMAA H, 2001, PERFORMANCE ENG, P40 43350 GOMAA H, 2005, ADDISONWESLEY OBJECT 43351 GRAY J, 1981, P INT C VER LARG DAT, P144 43352 HE J, 2001, IFIP ACM INT C DISTR, P351 43353 KRAISS A, 2001, IEEE DATA ENG B, V24, P58 43354 LEVY R, 2003, P INT NET MGT C IM20 43355 MAXIMILIEN EM, 2004, IEEE INTERNET COMPUT, V8, P84 43356 MENASCE DA, 1995, P 1 IEEE INT C ENG C 43357 MENASCE DA, 2000, IEEE T SOFTWARE ENG, V26, P1066 43358 MENASCE DA, 2000, SCALING E BUSINESS T 43359 MENASCE DA, 2001, P 2001 ACM C E COMM 43360 MENASCE DA, 2002, CAPACITY PLANNING WE 43361 MENASCE DA, 2002, IEEE INTERNET COMPUT, V6, P72 43362 MENASCE DA, 2002, P 10 IEEE INT S MOD, P267 43363 MENASCE DA, 2003, IEEE INTERNET COMPUT, V7, P92 43364 MENASCE DA, 2003, P 2003 COMP MEAS GRO 43365 MENASCE DA, 2004, IEEE INTERNET COMPUT, V8, P100 43366 MENASCE DA, 2004, P 2004 ACM WORKSH SO, P186 43367 PETRIU D, 2000, P 2 INT WORKSH SOFTW 43368 PRUYNE J, 2000, ENABLING QOS VIA INT 43369 RAN SP, 2003, ACM SIGECOM EXCHANGE, V1, P1 43370 ROLIA JA, 1995, IEEE T SOFTWARE ENG, V21, P689 43371 SIQUEIRA F, 2000, 20 INT C DISTR COMP, P197 43372 TIAN M, 2003, 4 INT C WEB INF SYST, P149 43373 TIEN DL, 1999, 2 IEEE INT S OBJ OR, P213 43374 TIEN M, 1999, 4 INT C WEB INF SYST, P213 43375 WOODSIDE CM, 2006, IEEE INTERNET COMPUT, V10 43376 NR 43 43377 TC 0 43378 PU ELSEVIER SCIENCE BV 43379 PI AMSTERDAM 43380 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 43381 SN 0166-5316 43382 J9 PERFORM EVALUATION 43383 JI Perform. Eval. 43384 PD AUG 43385 PY 2007 43386 VL 64 43387 IS 7-8 43388 BP 646 43389 EP 663 43390 PG 18 43391 SC Computer Science, Hardware & Architecture; Computer Science, Theory & 43392 Methods 43393 GA 198CN 43394 UT ISI:000248604700003 43395 ER 43396 43397 PT J 43398 AU Goodlin, SJ 43399 Trupp, R 43400 Bernhardt, P 43401 Grady, KL 43402 Dracup, K 43403 AF Goodlin, Sarah J. 43404 Trupp, Robin 43405 Bernhardt, Paul 43406 Grady, Kathleen L. 43407 Dracup, Kathleen 43408 TI Development and evaluation of the "Advanced Heart Failure Clinical 43409 Competence Survey": A tool to assess knowledge of heart failure care 43410 and self-assessed competence 43411 SO PATIENT EDUCATION AND COUNSELING 43412 LA English 43413 DT Article 43414 DE nurse knowledge; advanced heart failure; end of life; competence 43415 ID MANAGEMENT; OUTCOMES; CARDIOLOGISTS; DISEASE; UPDATE 43416 AB Objective: We developed a tool to identify self-assessment of skills 43417 for advanced HF assessment and management and knowledge of HF care. 43418 Methods: A framework for nursing competency in HF care was developed 43419 and its face validity confirmed through expert review. An initial 43420 instrument was pilot tested and revised. The survey tool was validated 43421 via administration to nurses expert in HF care and nurses novice in HF 43422 care. Descriptive statistics were used to identify sample 43423 characteristics; t-tests and Chi-square analysis were used to compare 43424 the novice and expert g-goups. An Analysis of Variance (ANOVA) was 43425 performed to test whether expert scores differed from novice scores. 43426 Results: Thirty-six HF "expert" nurses and 85 hospice "novice" nurses 43427 completed the survey. The survey took 19.6 min on average (mean) with a 43428 mode of 15 min to complete. Self assessment of competence resulted in 43429 generally lower ratings by novice nurses (mean = 69.6; S.D. = 10.5) 43430 than by expert nurses (mean = 81.9: S.D. = 6.7), t (119) = 6.47, p < 43431 0.001. HF nurse experts scored themselves less comfortable than did the 43432 hospice nurses in the three questions that dealt with coping, 43433 bereavement, and communication about dying and prognosis. The mean 43434 knowledge scores for experts (30.3; S.D. = 2.5) were significantly 43435 higher than for novices (22.1; S.D. = 4.0), t (119) 11.47, p < 0.00). 43436 The standardized alpha coefficient of the survey was 0.78 for the 43437 questions about knowledge, indicating acceptable reliability of the 43438 survey as a tool to discriminate knowledge. Many novice nurses 43439 over-estimated their competence in HF assessment and prognostication 43440 compared to their performance on the knowledge portion of the survey. 43441 Conclusion: The Advanced Heart Failure Clinical Competence Survey 43442 adequately distinguishes between novice nurses' self-assessment of 43443 skills and their demonstrated knowledge of HF assessment and management 43444 and those of HF nurse experts. 43445 Practice implications: The Advanced Heart Failure Clinical Competence 43446 Survey can identify hospice nurses' confidence and knowledge or the 43447 need for education to enable patient and family education and 43448 counseling regarding self-care, medications, distressing symptoms and 43449 approaching the end of life. (C) 2007 Elsevier Ireland Ltd. All rights 43450 reserved. 43451 C1 Patient Ctr Educ & Res, Salt Lake City, UT 84103 USA. 43452 Ohio State Univ, Columbus, OH 43210 USA. 43453 Northwestern Univ, Chicago, IL 60611 USA. 43454 Univ Calif San Francisco, Sch Nursing, San Francisco, CA 94143 USA. 43455 RP Goodlin, SJ, Patient Ctr Educ & Res, Salt Lake City, UT 84103 USA. 43456 EM sjg-pcer@comcast.net 43457 CR 2004, NHPCO FACTS FIGURES 43458 ALBERT NM, 2002, HEART LUNG, V31, P102 43459 ANSARI M, 2003, J AM COLL CARDIOL, V41, P62 43460 BENNER P, 1984, NOVICE EXPERT EXCELL 43461 BENNER P, 1996, EXPERTISE NURSING PR 43462 EDEP ME, 1997, J AM COLL CARDIOL, V30, P518 43463 FOX E, 1999, JAMA-J AM MED ASSOC, V282, P1638 43464 FRANCIS C, 2004, AM COLL CARD ANN SCI 43465 GOODLIN SJ, 2005, J PAIN SYMPTOM MANAG, V29, P525 43466 HANRATTY B, 2002, BRIT MED J, V325, P581 43467 HUNT SA, 2005, CIRCULATION, V112, E154 43468 JONG P, 2003, CIRCULATION, V108, P184 43469 KOELLING TM, 2005, CIRCULATION, V111, P179 43470 LEVY WC, 2006, CIRCULATION, V113, P1424 43471 MARTENSSON J, 2001, HEART LUNG, V30, P341 43472 MCALISTER FA, 2004, J AM COLL CARDIOL, V44, P810 43473 MEHTA NJ, 2001, AM J CARDIOL, V88, P1460 43474 THOM T, 2006, CIRCULATION, V113, E85 43475 NR 18 43476 TC 0 43477 PU ELSEVIER IRELAND LTD 43478 PI CLARE 43479 PA ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO, CLARE, 00000, 43480 IRELAND 43481 SN 0738-3991 43482 J9 PATIENT EDUC COUNS 43483 JI Patient Educ. Couns. 43484 PD JUL 43485 PY 2007 43486 VL 67 43487 IS 1-2 43488 BP 3 43489 EP 10 43490 PG 8 43491 SC Public, Environmental & Occupational Health; Social Sciences, 43492 Interdisciplinary 43493 GA 189UN 43494 UT ISI:000248014200002 43495 ER 43496 43497 PT J 43498 AU Kwiatkowski, F 43499 Bignon, YJ 43500 AF Kwiatkowski, F. 43501 Bignon, Y.-J. 43502 TI To test the impact of hypnotherapy upon immunity and circadian rhythms 43503 among palliative cancer patients: a promising goal? 43504 SO PATHOLOGIE BIOLOGIE 43505 LA French 43506 DT Article 43507 DE psychology; immunity; cancer; hypnosis; biological rhythms; palliative 43508 treatments; methodology 43509 ID INTERVENTION IMPROVE SURVIVAL; BREAST-CANCER; GASTROINTESTINAL CANCER; 43510 RISK; METAANALYSIS; ADJUSTMENT; STRESS; WOMEN; NIGHT; DISORDERS 43511 AB Epidemiological and clinical researches in the borderline domain 43512 between psychology and cancer have produced consequent results, despite 43513 the large variety of employed approaches and aimed goals: these results 43514 permit to define domains where new investigations still appear 43515 promising. If randomized prospective controlled trials that test the 43516 impact of psychosocial interventions, constitute to our mind a strategy 43517 that must not be bypassed, a special attention should be focussed on 43518 the following topics: 1) it seems necessary to add to standard goals 43519 (survival and quality of life) the evaluation of the impact on immunity 43520 and main biological rhythms (circadian and ultradian). Specific 43521 questionnaires should be included (pain, sleep, mood, self-esteem, life 43522 events...) and others may need to be developed or adapted (sexuality, 43523 spirituality, coping with death); 2) among types of psychosocial 43524 management, hypnosis and/or learning of self-hypnosis appears to be a 43525 modality of choice since some results have already been obtained on 43526 immune pathologies and also on cancer. Mixed to an approach of clinical 43527 psychology, such a management could arouse behavior changes toward 43528 pathology but also promote an improvement of biological rhythms (action 43529 on sleep...) and perhaps, by the way, an immune rebound; 3) on a 43530 methodological point of view, trials cannot be double-blind. The effort 43531 must then concern sample sizes, that were often insufficient in many 43532 trials, but also targeted populations: palliative cancer patients with 43533 a good performance status seem more relevant for this type of 43534 investigation, since psychosocial interventions usually improve quality 43535 of life. (c) 2007 Elsevier Masson SAS. Tous droits reserves. 43536 C1 Ctr Lutte Contre Canc, Ctr Jean Perrin, F-63011 Clermont Ferrand, France. 43537 RP Kwiatkowski, F, Ctr Lutte Contre Canc, Ctr Jean Perrin, 58,Rue 43538 Montalembert,BP 392, F-63011 Clermont Ferrand, France. 43539 EM fabrice.kwiatkowski@cjp.fr 43540 CR ABRIAL C, 2005, PATHOL BIOL, V53, P265 43541 ANBAR RD, 2002, BMC PEDIAT, V2, P1 43542 BLAND JM, 1995, BRIT MED J, V310, P170 43543 BLASER BW, 2006, BEST PRACT RES CL HA, V19, P281 43544 BROWN DW, 2006, CANCER CAUSE CONTROL, V17, P349 43545 CAMPMANY L, 1996, PHARMACOL BIOCHEM BE, V53, P517 43546 CANN SH, 2006, CANC DETECT PREV, V30, P83 43547 CAYROU S, 2003, PSYCHO-ONCOL, V12, P379 43548 CHAN YM, 2005, J CLIN ONCOL, V23, P4913 43549 CHOW E, 2004, PALLIATIVE MED, V18, P25 43550 DALTON SO, 2002, EUR J CANCER, V38, P1313 43551 DAVIS S, 2001, J NATL CANCER I, V93, P1557 43552 DHABHAR FS, 1994, BRAIN BEHAV IMMUN, V8, P66 43553 DUIJTS SFA, 2003, INT J CANCER, V107, P1023 43554 ELIAS SG, 2004, J NATL CANCER I, V96, P539 43555 FAWZY FI, 1990, ARCH GEN PSYCHIAT, V47, P729 43556 FU LN, 2002, CELL, V111, P41 43557 GILBAR O, 1989, J PSYCHOSOM RES, V33, P1 43558 GOODWIN PJ, 2005, CANCER S, V104, P2596 43559 HALL M, 1998, PSYCHOSOM MED, V60, P48 43560 HANSEN J, 2001, EPIDEMIOLOGY, V12, P74 43561 HOROWITZ MM, 1990, BLOOD, V75, P555 43562 JACOBS JR, 2000, PSYCHOL MED, V30, P669 43563 JADOULLE V, 2004, B CANCER, V91, P249 43564 KIECOLTGLASER JK, 1999, EUR J CANCER, V35, P1603 43565 KRIPKE DF, 1998, BIOL PSYCHIAT, V43, P687 43566 KUCHLER T, 1999, HEPATO-GASTROENTEROL, V46, P322 43567 KWIATKOWSKI F, 2003, PATHOL BIOL, V51, P185 43568 KWIATKOWSKI F, 2005, REV FRANCOPH PSYCHOO, V2, P105 43569 LEPINE JP, 1985, ANN MED-PSYCHOL, V143, P175 43570 MEYER TJ, 1995, HEALTH PSYCHOL, V14, P101 43571 MORMONT MC, 1996, PATHOL BIOL, V44, P165 43572 NEWELL S, 2000, MED J AUSTRALIA, V172, P110 43573 NINOT G, 2000, REV STAPS, V53, P35 43574 NORDIN K, 1998, PSYCHO-ONCOL, V7, P413 43575 OLOFSSON K, 2004, ACTA ANAESTH SCAND, V48, P679 43576 PUKKALA E, 2003, AVIAT SPACE ENVIR MD, V74, P699 43577 RONSON A, 2004, CURR OPIN ONCOL, V16, P318 43578 RONSON A, 2005, ENCEPHALE, V31, P118 43579 ROSBASH M, 2002, NATURE, V420, P373 43580 ROSENBERG M, 1979, CONCEIVING SELF 43581 ROSS L, 2002, EUR J CANCER, V38, P1447 43582 ROSSI E, 2002, PSYCHOBIOLOGIE GUERI 43583 SCHERNHAMMER ES, 2001, J NATL CANCER I, V93, P1563 43584 SHAPIRO F, 1989, J TRAUMA STRESS, V2, P199 43585 SHAPIRO F, 1995, EYE MOVEMENT DESENSI 43586 SPIEGEL D, 1989, LANCET, V2, P211 43587 STANTON A, 2005, J CLIN ORTHOD, V22, P4818 43588 STROMBERG MF, 1989, NURS RES, V38, P364 43589 VANDENHEILIGENBERG S, 1999, LIFE SCI, V64, P2523 43590 WATSON M, 2005, EUR J CANCER, V41, P1710 43591 WLADMANN T, 2002, ARTHRITIS RES, V4, P161 43592 ZACHARIAE R, 2001, ALLERGY, V56, P734 43593 ZAZA C, 2002, J PAIN SYMPTOM MANAG, V24, P526 43594 NR 54 43595 TC 0 43596 PU ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER 43597 PI PARIS 43598 PA 23 RUE LINOIS, 75724 PARIS, FRANCE 43599 SN 0369-8114 43600 J9 PATHOL BIOL 43601 JI Pathol. Biol. 43602 PD APR-MAY 43603 PY 2007 43604 VL 55 43605 IS 3-4 43606 BP 186 43607 EP 193 43608 PG 8 43609 SC Pathology 43610 GA 186BR 43611 UT ISI:000247754600013 43612 ER 43613 43614 PT J 43615 AU Gordin, A 43616 Golz, A 43617 Keidar, Z 43618 Daitzchman, M 43619 Bar-Shalom, R 43620 Israel, O 43621 AF Gordin, Arie 43622 Golz, Avishay 43623 Keidar, Zohar 43624 Daitzchman, Marcello 43625 Bar-Shalom, Rachel 43626 Israel, Ora 43627 TI The role of FDG-PET/CT imaging in head and neck malignant conditions: 43628 Impact on diagnostic accuracy and patient care 43629 SO OTOLARYNGOLOGY-HEAD AND NECK SURGERY 43630 LA English 43631 DT Article 43632 ID POSITRON-EMISSION-TOMOGRAPHY; SQUAMOUS-CELL CARCINOMA; RECURRENT HEAD; 43633 F-18-FDG PET; CANCER; CT; SURVEILLANCE; MANAGEMENT; MODALITIES; FUSION 43634 AB BACKGROUND: To assess the value of positron emission 43635 tomography/computed tomography (PET/CT) with F-18-Fluorodeoxyglucose 43636 (FDG) in patients with head and neck carcinoma as compared with PET and 43637 conventional imaging alone, and to assess the impact of PET/CT on 43638 further clinical management. 43639 STUDY DESIGN: Prospective nonrandomized study. 43640 SETTING: Ninety patients with head and neck tumors had 107 PET/CT 43641 examinations. 43642 RESULTS: The study analysis showed that PET/CT had a sensitivity of 43643 89%, specificity 95%, PPV 94%, NPV 90%, and accuracy of 92%. PET/CT 43644 altered management in 51 patients (56%). PET/CT eliminated the need for 43645 previously planned diagnostic procedures in 24 patients, induced a 43646 change in the planned therapeutic approach in 21 patients and guided 43647 biopsy in 6 patients. 43648 CONCLUSIONS: PET/CT is an imaging modality with high diagnostic 43649 performance in the assessment of head and neck cancer, and induced a 43650 change in further clinical management in more than half of the study 43651 population. (C) 2007 American Academy of Otolaryngology-Head and Neck 43652 Surgery Foundation. All rights reserved. 43653 C1 Dept Otolaryngol Head & Neck Surg, IL-31096 Haifa, Israel. 43654 Dept Nucl Med & Diagnost Imaging, Haifa, Israel. 43655 RP Gordin, A, Dept Otolaryngol Head & Neck Surg, Rambam Hlth Care 43656 Campus,POB 9602, IL-31096 Haifa, Israel. 43657 EM ariegor@hotmail.com 43658 CR ADAMS S, 1998, EUR J NUCL MED, V25, P1255 43659 ANZAI Y, 1996, RADIOLOGY, V200, P135 43660 BRANSTETTER BF, 2005, RADIOLOGY, V235, P580 43661 BROUWER J, 2004, EUR ARCH OTO-RHINO-L, V261, P417 43662 CURTIN HD, 1998, RADIOLOGY, V207, P123 43663 FUKUI MB, 2003, SEMIN ULTRASOUND CT, V24, P157 43664 HA PK, 2006, ARCH OTOLARYNGOL, V132, P12 43665 JEMAL A, 2004, CA-CANCER J CLIN, V54, P8 43666 KRESNIK E, 2001, EUR J NUCL MED, V28, P816 43667 LOWE VJ, 1997, HEAD NECK-J SCI SPEC, V19, P666 43668 LOWE VJ, 2000, J CLIN ONCOL, V18, P651 43669 MCGUIRT WF, 1998, HEAD NECK-J SCI SPEC, V20, P208 43670 NG SH, 2005, J NUCL MED, V46, P1136 43671 RYAN WR, 2005, LARYNGOSCOPE, V115, P645 43672 SCHODER H, 2004, RADIOLOGY, V231, P65 43673 SIGG MB, 2003, J ORAL MAXIL SURG, V61, P1022 43674 WARD PH, 1975, LARYNGOSCOPE, V85, P522 43675 ZANATION AM, 2005, LARYNGOSCOPE, V115, P1186 43676 NR 18 43677 TC 0 43678 PU MOSBY-ELSEVIER 43679 PI NEW YORK 43680 PA 360 PARK AVENUE SOUTH, NEW YORK, NY 10010-1710 USA 43681 SN 0194-5998 43682 J9 OTOLARYNGOL HEAD NECK SURG 43683 JI Otolaryngol. Head Neck Surg. 43684 PD JUL 43685 PY 2007 43686 VL 137 43687 IS 1 43688 BP 130 43689 EP 137 43690 PG 8 43691 SC Otorhinolaryngology; Surgery 43692 GA 185VY 43693 UT ISI:000247739700024 43694 ER 43695 43696 PT J 43697 AU Nguyen, TVT 43698 Cao, TH 43699 AF Nguyen, Truc-Vien T. 43700 Cao, Tru H. 43701 TI VN-KIM IE: Automatic extraction of Vietnamese named-entities on the web 43702 SO NEW GENERATION COMPUTING 43703 LA English 43704 DT Article 43705 DE semantic web; information extraction; named-entity; semantic annotation 43706 AB The most fascinating advantage of the semantic web would be its 43707 capability of understanding and processing the contents of web pages 43708 automatically. Basically, the semantic web realization involves two 43709 main tasks: (1) Representation and management of a large amount of data 43710 and metadata for web contents; (2) Information extraction and 43711 annotation on web pages. On the one hand, recognition of named-entities 43712 is regarded as a basic and important problem to be solved, before 43713 deeper semantics of a web page could be extracted. On the other hand, 43714 semantic web information extraction is a language-dependent problem, 43715 which requires particular natural language processing techniques. This 43716 paper introduces VN-KIM IE, the information extraction module of the 43717 semantic web system VN-KIM that we have developed. The function of 43718 VN-KIM IE is to automatically recognize named-entities in Vietnamese 43719 web pages, by identifying their classes, and addresses if existing, in 43720 the knowledge base of discourse. That information is then annotated to 43721 those web pages, providing a basis for NE-based searching on them, as 43722 compared to the current keyword-based one. The design, implementation, 43723 and performance of VN-KIM IE are presented and discussed. 43724 C1 Ho Chi Minh City Univ Technol, Fac Comp Sci & Engn, Thanh Pho Ho Chi Minh, Vietnam. 43725 RP Nguyen, TVT, Ho Chi Minh City Univ Technol, Fac Comp Sci & Engn, Thanh 43726 Pho Ho Chi Minh, Vietnam. 43727 EM nttvien@cse.hcmut.edu.vn 43728 tru@cse.hcmut.edu.vn 43729 CR BERNERSLEE T, 2001, SEMANTIC WEB 43730 BONTCHEVA K, 2003, P EACL WORKSH DED LA 43731 BRICKLEY D, 1999, W3C TECHNICAL REPORT 43732 CAO TH, 2004, P VIETN JAP WORKSH A, P197 43733 CAO TH, 2005, 13 INT C CONC STRUCT, P27 43734 CAO TH, 2005, MODELLING SIMULATION, P57 43735 CAO TH, 2006, IN PRESS FUZZY LOGIC 43736 CHAU NQ, 2006, P 4 IEEE INT C COMP, P145 43737 CHINCHOR N, 1998, P MUC 43738 CUNNINGHAM H, 2000, CS0010 U SHEFF DEP C 43739 CUNNINGHAM H, 2002, P 40 ANN M ASS COMP 43740 ERDMANN M, 2000, P COLING WORKSH SEM 43741 GRISHMAN R, 1996, P COLING 96 43742 HANDSCHUH S, 2002, P 13 INT C KNOWL ENG 43743 KAHAN J, P WWW10 C HONG KONG, P623 43744 KAMPMAN A, 2002, P 1 INT SEM WEB C 43745 KIRYAKOV A, 2005, WEB SEMANTICS, V2 43746 LASSILA O, 1999, W3C TECHNICAL REPORT 43747 LE P, 2006, 4 IEEE INT C COMP SC, P47 43748 NOY N, 2001, IEEE INTELL SYST APP, V2, P60 43749 POPOV B, 2003, P 2 INT SEM WEB C FL 43750 STAAB S, 2001, P 1 INT WORKSH MULT 43751 THIN TT, 1995, LANGUAGE MAGAZINE, V1, P72 43752 VARGASVERA M, 2002, P EKAW 02 43753 VULUONG X, RULES VIETNAMESE ACC 43754 NR 25 43755 TC 0 43756 PU SPRINGER 43757 PI NEW YORK 43758 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 43759 SN 0288-3635 43760 J9 NEW GENERATION COMPUT 43761 JI New Gener. Comput. 43762 PY 2007 43763 VL 25 43764 IS 3 43765 BP 277 43766 EP 292 43767 PG 16 43768 SC Computer Science, Hardware & Architecture; Computer Science, Theory & 43769 Methods 43770 GA 187OT 43771 UT ISI:000247858300008 43772 ER 43773 43774 PT J 43775 AU Yonekawa, Y 43776 AF Yonekawa, Yasuhiro 43777 TI Operative neurosurgery: Personal view and historical backgrounds (3) 43778 anterior circulation-pterional approach 43779 SO NEUROLOGICAL SURGERY 43780 LA English 43781 DT Article 43782 DE pterional approach; selective extradural anterior clinoidectomy (SEAC); 43783 anterior communicating artery aneurysms; internal carotid artery 43784 aneurysms; middle cerebral artery aneurysms; dissecting aneurysms 43785 ID SUBARACHNOID HEMORRHAGE; ANEURYSMS; CLINOIDECTOMY; ARTERY 43786 AB Under the title of anterior circulation aneurysms and the pterional 43787 approach, followings are presented and emphasized along with mentioning 43788 their historical development in our present performance status. 43789 Pterional approach: head positioning with Mayfield-Kees fixation 43790 apparatus using one pin around the processus matoideus and the other 2 43791 pins on the contralateral side behind the hair line the head turned 30 43792 degrees and reclined chin-up 15-20 grade. Skin incision beginning just 43793 in front of the tragus ending up at the midline hair line in a 43794 curvilinear fashion always including the superficial temporal artery 43795 STA in its frontal branch and the facial nerve (frontal branch) in the 43796 skin flap. A muscle fascial preparation is so fashioned such that a 43797 strip of myofascial cuff is left at the linea temporalis and the 43798 temporal musculature is reflected and retracted towards the 43799 postero-basal direction in order to expose the pterion, for which a 43800 small short myofascial incision is added parallel to the skin incision 43801 towards the tragus up to several cm above it to prevent postoperative 43802 trismus. Bone flap is sawed out usually using three burr holes, at the 43803 key hole just at the proximal part of the linea temporalis, 43804 frontomedially on the squama frontalis and on the sutura squamosa, so 43805 that the Sylvian fissure and the superior temporal gyros are exposed 43806 enough for further procedure. The sphenoid ridge is drilled away until 43807 the most lateral corner of the superior orbital fissure comes into 43808 view. Thus one has drilled away enough to do surgery in question at the 43809 skull base even at the time of "angry brain" due to subarachnoid 43810 hemorrhage SAH. This procedure can be followed by selective extradural 43811 anterior clinoidectomy SEAC in case of necessity. The dura is opened in 43812 a curvilinear fashion so that the dura can be reflected over the 43813 drilled sphenoid wing and so that the Sylvian fissure and the superior 43814 temporal gyros is exposed for the treatment of aneurysms of the 43815 internal carotid artery ICA, of the anterior communicating artery AcomA 43816 and the middle cerebral artery MCA. The dural incision is suitable also 43817 for doing other surgeries e.g. basilar bifurcation aneurysms and 43818 amygdalohippocampectomy AHE. 43819 Following points are emphasised in aneurysm surgery at the acute stage 43820 of SAH: 1) Artificial hypotension of the systolic pressure down to 100 43821 mmHg. 2) Use of temporary clipping (or trapping) method not only for 43822 the management of premature rupture but for complete dissection of 43823 aneurysms and for optimal neck clipping. 3) Opening of the lamina 43824 terminalis to gain slackness of "angry brain" and to insert an external 43825 ventricular drainage at the end of surgery for the intracranial 43826 pressure ICP registration and its regulation. 4) Importance of subpial 43827 approximation ("subpiale Annaherung") at the time of aneurysm 43828 dissection to take advantage of the strength of the pia mater over (the 43829 arachnoid) and the dome of aneurysm. 5) Use of oxycellulose Tabotamp(R) 43830 insertion technique between the aneurysm neck and neighbouring 43831 perforators to avoid inclusion of the latter ("Mitklippen") at the time 43832 of neck clipping. 6) Double clipping method at the time of incomplete 43833 neck clipping due to athromatous plaque. Combination of fenestrated 43834 clip and standard clip or "puncture and collapse" method at the time of 43835 aneurysm incorporation of parent and /or branching arteries. 7) Use of 43836 microDoppler to confirm patency of the parent arteries and their 43837 branches. 43838 For doing surgery of aneurysms of main cerebral arteries following 43839 points are discussed: 1) AcomA aneurysms; a) Aneurysms located lower 43840 than 1.5 cm above the level of the anterior clinoid process in the 43841 lateral view on digital subtraction angiography DSA can be managed with 43842 conventional pterional approach. b) Usually from the right side (non 43843 dominant hemisphere) but in the following situations from the left 43844 side: hematoma on the left side, concomitant unruptured aneurysms on 43845 the left side, left A1 dominancy at the acute stage of SAH and its 43846 dissection is considered to be difficult from the right side. c) Always 43847 rectal gyrus approach to the aneurysm with any direction. This also 43848 enables safety subpial approximation "subpiale Annaeherung" to 43849 aneurysms. d) No use of coagulation as much as possible. 2) ICA 43850 aneurysms; a) Performance of selective extradural anterior 43851 clinoidectomy SEAC for paraclinoid aneurysms not only for aneurysm 43852 dissection but for proximal control. b) Neither sacrifice nor 43853 Mitklippen of the posterior communicating artery at the time of 43854 ICA-PcomA aneurysms, not only for the prevention of the PCA infarction 43855 in case of its embryonal type but also for the prevention of 43856 tuberothalamic infarction due to compromise of the anterior 43857 thalamoperforating arteries originating from the PcomA. 0 Dissecting 43858 aneurysms of the ICA: difficulties of diagnosis or differentiation from 43859 paraclinoid anurysms. Difficulties of optimal direct clipping and 43860 resort to trapping or proximal ligation plus bypass. Its predilection 43861 site is at the medial anterior wall of the C1 portion but may occur 43862 also in any other portion of the ICA. 43863 3) Middle cerebral artery MCA aneurysms; a) For dissection, superior 43864 temporal gyrus ablation is not necessary but opening of the Sylvian 43865 fissure by retrograde tracing of a cortical artery on the surface of 43866 the temporal lobe. This cortical artery can be used as recipient when a 43867 bypass surgery turns out to be necessary with the use of a donor artery 43868 from the frontal branch of the STA. b) Importance of interpreting DSA 43869 or 3DCT angiography in regard to whether the aneurysm dome is outside 43870 (lateral) or inside (medial) of the MCA bifurcation. This helps in 43871 anticipating whether the aneurysm dome or MCA branches come into view 43872 first at the time of intraSylvian dissection. c) In case of presence of 43873 aneurysms at the contralateral MCA, accessibility from the ipsilateral 43874 side depends on the distance form the midline (for example early 43875 bifurcation), the relationship to the sphenoid wing (not below the 43876 level of the sphenoid wing) and no strong Sylvian vein darining into 43877 the sphenoparietal sinus being in the way. 43878 C1 Neurochirurg Univ Klin Zurich, CH-8091 Zurich, Switzerland. 43879 RP Yonekawa, Y, Neurochirurg Univ Klin Zurich, Frauenklin Str 10, CH-8091 43880 Zurich, Switzerland. 43881 CR CAHILL WJ, 2006, J CEREBR BLOOD F MET, V26, P1341 43882 CROWELL RM, 1977, STROKE, V8, P272 43883 FOX JL, 1977, STROKE, V7, P489 43884 FOX JL, 1989, ATLAS NEUROSURGICAL 43885 FUJIOKA M, 2003, ANN NEUROL, V54, P732 43886 HERNESNIEMI J, 2006, COMMUNICATION JAN 43887 HEROS RC, 1982, NEUROSURGERY, V10, P308 43888 KEMPE LG, 1968, OPERATIVE NEUROSURGE, V1 43889 KEMPE LG, 1968, OPERATIVE NEUROSURGE, V2 43890 KHAN N, 2005, ACT NEUR S, V94, P23 43891 LERCH C, 2006, NEUROCRIT CARE, V5, P85 43892 OGATA N, 1996, ACTA NEUROCHIR, V138, P726 43893 POOL JL, 1965, ANEURYSMS ARTERIOVEN, P222 43894 YASARGIL MG, 1975, ADV TECHNICAL STANDA, V2, P113 43895 YASARGIL MG, 1987, J NEUROSURG, V67, P463 43896 YONEKAWA Y, 1982, NEUROSURGEONS, V2, P127 43897 YONEKAWA Y, 1997, J NEUROSURG, V87, P636 43898 YONEKAWA Y, 2002, ACT NEUR S, V82, P105 43899 NR 18 43900 TC 0 43901 PU IGAKU-SHOIN LTD 43902 PI TOKYO 43903 PA 5-24-3 HONGO BUNKYO-KU, TOKYO, 113 91, JAPAN 43904 SN 0301-2603 43905 J9 NEUROL SURG TOKYO 43906 JI Neurol. Surg. 43907 PD JUL 43908 PY 2007 43909 VL 35 43910 IS 7 43911 BP 703 43912 EP 718 43913 PG 16 43914 SC Neurosciences; Surgery 43915 GA 200EL 43916 UT ISI:000248746600009 43917 ER 43918 43919 PT J 43920 AU Awada, H 43921 Al-Tannir, M 43922 Ziade, MF 43923 Alameh, J 43924 El Rajab, M 43925 AF Awada, H. 43926 Al-Tannir, M. 43927 Ziade, M. F. 43928 Alameh, J. 43929 El Rajab, M. 43930 TI Cardiac troponin T: A useful early marker for cardiac and respiratory 43931 dysfunction in Neonates 43932 SO NEONATOLOGY 43933 LA English 43934 DT Article 43935 DE cardiac troponin T; neonate; respiratory distress; cardiac function; 43936 biochemical diagnostic; useful marker 43937 ID CORD-BLOOD; MYOCARDIAL INJURY; DISTRESS-SYNDROME; PRETERM INFANTS; 43938 SERUM; PERFORMANCE; DIAGNOSIS; ASPHYXIA; HYPOXIA; OUTPUT 43939 AB Background: Cardiac troponin T (cTnT) has been proposed as specific 43940 biochemical marker for myocardial infarction in adults. Cardiac 43941 function in neonates could be influenced by the severity of respiratory 43942 distress and its ventilatory management. Objectives: To establish a 43943 normal range of cTnT in healthy neonates, compare troponin 43944 concentrations among healthy neonates and those in respiratory distress 43945 ( sick) and detect whether any correlation occurs between severity of 43946 respiratory distress and troponin concentrations. Methods: 43947 Concentrations of cTnT were compared between sick and healthy infants, 43948 accounting for confounding variables in a prospective investigation 43949 manner. Age at sampling, need for ventilation, duration of respiratory 43950 support, and inotropic use in addition to neonatal and maternal 43951 characteristics were assessed. Results: Samples were collected from164 43952 neonates ( 116 healthy and 48 sick). The medians [interquartile ranges] 43953 of cTnT in healthy and sick infants were 0.044 [0.027-0.073] mu g/l and 43954 0.121 [0.065-0.238] mu g/l, respectively, with p < 0.0001. The 99th 43955 percentile for healthy neonates was 0.244 mu g/l. Comparing both 43956 groups, there were significant differences concerning gestation, birth 43957 weight, Apgar at 5 min and admission to neonatal intensive care unit. 43958 Troponin concentrations in subgroups of sick infants including 43959 hypotensive, ventilated and dead infants were higher than other infants 43960 of the same subgroup. CTnT was positively correlated to the duration of 43961 respiratory support in ventilated neonates. Conclusion: CTnT may prove 43962 to be a useful early marker for cardiac and respiratory dysfunction in 43963 newborns. Copyright (c) 2007 S. Karger AG, Basel. 43964 C1 Makassed Gen Hosp, Dept Pediat, Beirut 11072210, Lebanon. 43965 Makassed Gen Hosp, Res Unit, Beirut 11072210, Lebanon. 43966 Lebanese Univ, Fac Publ Hlth, Beirut, Lebanon. 43967 RP Awada, H, Makassed Gen Hosp, Dept Pediat, POB 11-6301, Beirut 11072210, 43968 Lebanon. 43969 EM hanaawassim@hotmail.com 43970 CR 2004, TROPIN T STAT DATA S 43971 ADAMCOVA M, 1995, PHYSIOL RES, V44, P99 43972 ADAMCOVA M, 1997, ACTA MED, V40, P83 43973 ADAMCOVA M, 2000, BIOL NEONATE, V78, P288 43974 ADAMCOVA M, 2003, ACTA PAEDIATR, V92, P1373 43975 BAUM H, 2004, CLIN BIOCHEM, V37, P1079 43976 BHAYANA V, 1995, CLIN BIOCHEM, V28, P1 43977 CLARK SJ, 2001, ARCH DIS CHILD, V84, F34 43978 CLARK SJ, 2004, ARCH DIS CHILD, V89, F348 43979 CLARK SJ, 2006, EUR J PEDIATR, V165, P87 43980 EVANS N, 1996, ARCH DIS CHILD, V74, F88 43981 GERHARDT W, 1992, CLIN CHEM, V38, P1194 43982 GILL AB, 1993, ARCH DIS CHILD, V68, P17 43983 HAUSDORF G, 1987, CRIT CARE MED, V15, P661 43984 HETLAND O, 1998, CLIN CHEM, V44, P1430 43985 KATUS HA, 1991, AM J CARDIOL, V67, P1360 43986 MOLLER JC, 1998, BIOL NEONATE, V73, P367 43987 PANTEGHINI M, 1997, CLIN CHEM 1, V43, P1455 43988 PANTEGHINI M, 1999, SCAND J CLIN LAB I S, V230, P103 43989 RANJIT MS, 2000, INDIAN J PEDIATR, V67, P529 43990 SHELTON SD, 1999, AM J OBSTET GYNECO 1, V181, P1259 43991 SZYMANKIEWICZ M, 2005, BIOL NEONATE, V88, P19 43992 THIRU Y, 2000, CRIT CARE MED, V28, P2979 43993 TREVISANUTO D, 2000, ACTA PAEDIATR, V89, P1134 43994 TREVISANUTO D, 2006, BIOL NEONATE, V89, P190 43995 TURKER G, 2004, BIOL NEONATE, V86, P131 43996 VANBEL F, 1990, ACTA PAEDIATR SCAND, V79, P756 43997 WALTHER FJ, 1985, J PEDIATR, V107, P781 43998 WU AH, 1994, J CLIN IMMUNOASSAY, V17, P45 43999 NR 29 44000 TC 0 44001 PU KARGER 44002 PI BASEL 44003 PA ALLSCHWILERSTRASSE 10, CH-4009 BASEL, SWITZERLAND 44004 SN 1661-7800 44005 J9 NEONATOLOGY 44006 JI Neonatology 44007 PY 2007 44008 VL 92 44009 IS 2 44010 BP 105 44011 EP 110 44012 PG 6 44013 SC Pediatrics 44014 GA 198VP 44015 UT ISI:000248655900005 44016 ER 44017 44018 PT J 44019 AU Chen, X 44020 Li, CL 44021 Rhee, BD 44022 Simchi-Levi, D 44023 AF Chen, Xin 44024 Li, Chung-Lun 44025 Rhee, Byong-Duk 44026 Simchi-Levi, David 44027 TI The impact of manufacturer rebates on supply chain profits 44028 SO NAVAL RESEARCH LOGISTICS 44029 LA English 44030 DT Article 44031 DE newsvendor problem; pricing; rebates; supply chain management 44032 ID PRICE-DISCRIMINATION; CHANNEL COORDINATION; RETURNS POLICIES; CONSUMER; 44033 INCENTIVES; PROMOTIONS; DEMAND; MODEL; PERFORMANCE; EVENTS 44034 AB Manufacturer rebates are commonly used as price discount tools for 44035 attracting end customers. In this study, we consider a two-stage supply 44036 chain with a manufacturer and a retailer, where a single seasonal 44037 product faces uncertain and price-sensitive demand. We characterize the 44038 impact of a manufacturer rebate on the expected profits of both the 44039 manufacturer and the retailer. We show that unless all of the customers 44040 claim the rebate, the rebate always benefits the manufacturer. Our 44041 results thus imply that "mail-in rebates," where some customers end up 44042 not claiming the rebate, particularly when the size of the rebate is 44043 relatively small, always benefit the manufacturer. On the other hand, 44044 an "instant rebate," such as the one offered in the automotive industry 44045 where every customer redeems the rebate on the spot when he/she 44046 purchases a car, does not necessarily benefit the manufacturer. (c) 44047 2007 Wiley Periodicals, Inc. 44048 C1 Hong Kong Polytech Univ, Dept Logist, Kowloon, Peoples R China. 44049 Univ Illinois, Dept Mech & Ind Engn, Urbana, IL 61801 USA. 44050 Syracuse Univ, Whitman Sch Management, Syracuse, NY 13244 USA. 44051 MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA. 44052 MIT, Engn Syst Div, Cambridge, MA 02139 USA. 44053 RP Li, CL, Hong Kong Polytech Univ, Dept Logist, Kowloon, Peoples R China. 44054 EM Igtclli@polyu.edu.hk 44055 CR AILAWADI KL, 2001, J RETAILING, V77, P299 44056 ALI A, 1994, J BUS RES, V29, P238 44057 AULT RW, 2000, ECON INQ, V38, P570 44058 BELK RW, 1975, J CONSUM RES, V2, P157 44059 BELTRAMINI RF, 2003, J ADVERTISING RES, V43, P16 44060 BRUCE N, 2006, MARKET SCI, V25, P350 44061 CACHON GP, IN PRESS MANUFACT SE 44062 CACHON GP, 2003, HDBK OPER R, V11, P229 44063 CHEN FY, 2004, IEEE T SYST MAN CY A, V34, P450 44064 CHEN YF, 2006, NAVAL RES LOGIST, V53, P17 44065 CRAFTON SM, 1980, J CONSUM RES, V7, P211 44066 EMMONS H, 1998, MANAGE SCI, V44, P276 44067 ERDEM T, 2001, J MARKETING RES, V38, P445 44068 GERSTNER E, 1991, AM ECON REV, V81, P872 44069 GERSTNER E, 1991, ECON LETT, V36, P5 44070 GERSTNER E, 1994, AM ECON REV, V84, P1437 44071 GERSTNER E, 1995, MARKET SCI, V14, P43 44072 GRABOWSKI HG, 1970, Q J ECON, V84, P217 44073 GRANOT D, 2005, NAV RES LOG, V52, P765 44074 GUPTA S, 1988, J MARKETING RES, V25, P342 44075 HANEMANN WM, 1984, ECONOMETRICA, V52, P541 44076 HOCH SJ, 1985, J EXP PSYCHOL LEARN, V11, P719 44077 HOCH SJ, 1995, J MARKETING RES, V32, P17 44078 JOLSON MA, 1987, J ADVERTISING RES, V27, P33 44079 KARLIN S, 1962, PRICES OPTIMAL INVEN, P159 44080 KHOUJA M, 2006, EUR J OPER RES, V174, P706 44081 LARIVIERE MA, 1998, QUANTITATIVE MODELS, P233 44082 LICHTENSTEIN DR, 1989, J CONSUM RES, V16, P55 44083 MAYHEW GE, 1992, J CONSUM RES, V19, P62 44084 MAZUMDAR T, 2005, J MARKETING, V69, P84 44085 MILLS ES, 1959, Q J ECON, V73, P116 44086 MOON S, 2006, J RETAILING, V82, P1 44087 MURRAY T, 1976, REV ECON STAT, V58, P75 44088 OUM TH, 1986, LOGIST TRANSPORT REV, V22, P195 44089 PETRUZZI NC, 1999, OPER RES, V47, P183 44090 PULFORD BD, 1996, BRIT J PSYCHOL 3, V87, P431 44091 SILK T, 2005, MANAGING REBATE PROM 44092 SIMCHILEVI D, 2003, DESIGNING MANAGING S 44093 SOMAN D, 1998, J MARKETING RES, V35, P427 44094 SONG Y, IN PRESS MANUFACT SE 44095 TAYLOR TA, 2002, MANAGE SCI, V48, P992 44096 TSAY AA, 1998, QUANTITATIVE MODELS, P299 44097 VALLONE RP, 1990, J PERS SOC PSYCHOL, V58, P582 44098 WANG YZ, 2004, MANAGE SCI, V50, P34 44099 WELAM UP, 1982, MANAGE SCI, V28, P1313 44100 WENG ZK, 1995, MANAGE SCI, V41, P1509 44101 WHITIN TM, 1955, MANAGE SCI, V2, P61 44102 WINER RS, 1988, ISSUES PRICING THEOR, P35 44103 YANO CA, 2004, MANAGING BUSINESS IN, P65 44104 ZHANG ZJ, 2000, MANAGE SCI, V46, P348 44105 NR 50 44106 TC 0 44107 PU JOHN WILEY & SONS INC 44108 PI HOBOKEN 44109 PA 111 RIVER ST, HOBOKEN, NJ 07030 USA 44110 SN 0894-069X 44111 J9 NAV RES LOG 44112 JI Nav. Res. Logist. 44113 PD SEP 44114 PY 2007 44115 VL 54 44116 IS 6 44117 BP 667 44118 EP 680 44119 PG 14 44120 SC Operations Research & Management Science 44121 GA 200ER 44122 UT ISI:000248747200008 44123 ER 44124 44125 PT J 44126 AU Ashe, MC 44127 Eng, JJ 44128 Miller, WC 44129 Soon, JA 44130 AF Ashe, Maureen C. 44131 Eng, Janice J. 44132 Miller, William C. 44133 Soon, Judith A. 44134 TI Disparity between physical capacity and participation in seniors with 44135 chronic disease 44136 SO MEDICINE AND SCIENCE IN SPORTS AND EXERCISE 44137 LA English 44138 DT Article 44139 DE older adults; physical activity; performance; chronic conditions 44140 ID DWELLING OLDER-ADULTS; MINI-MENTAL-STATE; HEALTH-PROMOTION; 44141 PUBLIC-HEALTH; WALK TEST; GO TEST; SCALE; INTERVENTION; DISABILITIES; 44142 EXERCISE 44143 AB Purpose: To explore the predictors of physical capacity and 44144 participation in older community-dwelling individuals living with 44145 multiple chronic diseases. 44146 Methods: This was a descriptive cross-sectional investigation of 44147 physical capacity (physiological potential) and physical activity 44148 participation (recorded engagement in physical activity). Multiple 44149 regression and odds ratios were used to investigate determinants of 44150 physical capacity (6-min walk test) and physical activity participation 44151 (Physical Activity Scale for Individuals with Physical Disabilities 44152 Questionnaire; pedometer steps per day). 44153 Results: Two hundred community-dwelling ambulatory participants living 44154 with two or more chronic diseases were assessed. Sixty-five percent 44155 (65%) were women, and the mean age was 74 +/- 6 yr (range 65-90 yr). 44156 Mobility (timed up and go) was a consistent determinant across all 44157 three primary outcomes. For the 6-min walk test, determinants included 44158 mobility, BMI, grip strength, number of medications, leg strength, 44159 balance, and Chronic Disease Management Self-Efficacy Scale (r(2) = 44160 0.58; P = 0.000). The determinants for the self-reported participation 44161 measure (Physical Activity Scale for Individuals with Physical 44162 Disabilities Questionnaire) was mobility (r(2) = 0.04; P = 0.007). For 44163 the mean daily pedometer steps, the determinants included mobility, 44164 body mass index (BMI), age, and Chronic Disease Management 44165 Self-Efficacy Scale (r2 = 0.27; P 0.000). There were higher risks for 44166 inactivity associated with impairments compared with the presence of a 44167 chronic disease. In addition, more than a third of participants had 44168 sufficient physical capacity but did not meet minimal recommendations 44169 of physical activity. 44170 Conclusion: This study suggests that it is easier to predict an 44171 individual's physical capacity than their actual physical participation. 44172 C1 Univ British Columbia, Sch Rehabil Sci, Vancouver, BC V6T 2B5, Canada. 44173 Vancouver Coastal Hlth, Ctr Clin Epidemiol & Evaluat, Vancouver, BC, Canada. 44174 GF Strong Rehab Ctr, Rehabil Res Lab, Vancouver, BC, Canada. 44175 Univ British Columbia, Fac Pharmaceut Sci, Vancouver, BC V5Z 1M9, Canada. 44176 Univ British Columbia, CORE, Vancouver, BC V5Z 1M9, Canada. 44177 RP Eng, JJ, Univ British Columbia, Sch Rehabil Sci, T325-2211 Wesbrook 44178 Mall, Vancouver, BC V6T 2B5, Canada. 44179 EM Janice.Eng@vch.ca 44180 CR BANDURA A, 2004, HEALTH EDUC BEHAV, V31, P143 44181 BOOTSMAVANDERWIEL A, 2002, J AM GERIATR SOC, V50, P1405 44182 CALVERLEY PMA, 2003, LANCET, V362, P1053 44183 COHEN J, 1988, STAT POWER ANAL BEHA 44184 CRAPO RO, 2002, AM J RESP CRIT CARE, V166, P111 44185 ENRIGHT PL, 2003, CHEST, V123, P387 44186 ENRIGHT PL, 2003, RESP CARE, V48, P783 44187 FOLSTEIN MF, 1975, J PSYCHIAT RES, V12, P189 44188 GURALNIK JM, 1994, J GERONTOL, V49, P85 44189 HANN D, 1999, J PSYCHOSOM RES, V46, P437 44190 HEATH GW, 1997, EXERCISE SPORT SCI R, V25, P195 44191 HEITZMANN CA, 1988, HEALTH PSYCHOL, V7, P75 44192 JONES DA, 1998, ARCH FAM MED, V7, P285 44193 KUJALA UM, 2004, SCAND J MED SCI SPOR, V14, P339 44194 LIUAMBROSE T, 2004, GERONTOLOGY, V50, P373 44195 LORIG K, 1996, OUTCOME MEASURES HLT 44196 LUNAHEREDIA E, 2005, CLIN NUTR, V24, P250 44197 NEWMAN AB, 2006, JAMA-J AM MED ASSOC, V295, P2018 44198 POWELL LE, 1995, J GERONTOL A-BIOL, V50, M28 44199 RIMMER JH, 2002, AM J HEALTH PROMOT, V16, P220 44200 ROCKWOOD K, 2004, J GERONTOL A-BIOL, V59, P1310 44201 SHEPHARD RJ, 1982, ANN CLIN RES S34, V14, P86 44202 SHUMWAYCOOK A, 2000, PHYS THER, V80, P896 44203 SINGH MAF, 2002, J AM GERIATR SOC, V50, P2089 44204 TIEDEMANN A, 2005, GERONTOLOGY, V51, P390 44205 TOMBAUGH TN, 1992, J AM GERIATR SOC, V40, P922 44206 TSUYUKI RT, 2002, ARCH INTERN MED, V162, P1149 44207 TUDORLOCKE C, 2004, SPORTS MED, V34, P1 44208 TUDORLOCKE C, 2005, PREV MED, V40, P293 44209 WASHBURN RA, 2002, ARCH PHYS MED REHAB, V83, P193 44210 WHITE JL, 2005, WOMEN HEALTH, V41, P123 44211 WHITNEY JC, 2005, AGE AGEING, V34, P567 44212 NR 32 44213 TC 0 44214 PU LIPPINCOTT WILLIAMS & WILKINS 44215 PI PHILADELPHIA 44216 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 44217 SN 0195-9131 44218 J9 MED SCI SPORT EXERCISE 44219 JI Med. Sci. Sports Exerc. 44220 PD JUL 44221 PY 2007 44222 VL 39 44223 IS 7 44224 BP 1139 44225 EP 1146 44226 PG 8 44227 SC Sport Sciences 44228 GA 187CB 44229 UT ISI:000247823800015 44230 ER 44231 44232 PT J 44233 AU Apostolakis, E 44234 Akinosoglou, K 44235 AF Apostolakis, Efstratios 44236 Akinosoglou, Karolina 44237 TI What's new in the biochemical diagnosis of acute aortic dissection: 44238 Problems and perspectives 44239 SO MEDICAL SCIENCE MONITOR 44240 LA English 44241 DT Article 44242 DE myocin-heavy chains; D-dimers soluble elastin fragments; biochemical 44243 diagnosis; aortic dissection 44244 ID MYOSIN HEAVY-CHAIN; D-DIMER; ELASTIC ARCHITECTURE; IMMUNOASSAY; SERUM; 44245 MANAGEMENT; MORTALITY; ANEURYSM; PROTEIN 44246 AB Acute aortic dissection of the thoracic aorta represents a medical 44247 emergency that, despite its rare occurrence, is characterized by severe 44248 morbidity and mortality Prompt diagnosis is the key to a desired 44249 outcome. According to current, clinical data, diagnosis is mostly based 44250 on a high index of suspicion and diagnostic imaging and less on 44251 clinical Manifestations. Oil the other hand, a biochemical approach to 44252 the entity is still falling short in terms of diagnostic practice, 44253 although optimistic efforts are being made towards the development of 44254 such methods. Myocin heavy-chain concentrations, D-dimer levels, and 44255 soluble elastin fragment measurement are some of the new promising 44256 tools emerging in the battle of acute diagnosis. Despite their 44257 potentials, all three still need to be reevaluated. More prospective 44258 clinical trials should be performed so as to improve and ensure a 44259 biochemical diagnostic method for acute aortic dissection of high 44260 sensitivity and specificity and thus of great clinical value. 44261 Search of the Literature: Two reviewers performed a literature search, 44262 identified the relevant studies to be included in this review, and 44263 extracted the data. Relevant studies for inclusion in this review were 44264 identified through PubMed as well as from references of the initially 44265 found articles. The search terms used were "myocin-heavy chains", 44266 "D-dimers", "soluble elastin fragments", "biochemical diagnosis", 44267 "aortic dissection", "sensitivity", "specificity", and "performance 44268 characteristics". 44269 C1 Univ Hosp Patras, Cardiothorac Surg Clin, Patras, Greece. 44270 Univ London Imperial Coll Sci Technol & Med, Fac Nat Sci, London, England. 44271 RP Akinosoglou, K, 2A Butler Rd, London HA1 4DR, England. 44272 EM k.akinosoglou07@imperial.ac.uk 44273 CR DUNN KL, 2002, J AM COLL CARDIOL, V40, P1475 44274 EGGEBRECHT H, 2004, J AM COLL CARDIOL, V44, P804 44275 ERBEL R, 1993, CIRCULATION, V87, P1604 44276 ERBEL R, 2001, EUR HEART J, V22, P1642 44277 GOLDHABER S, 2005, HARRISONS PRINCIPLES, P1562 44278 IMMER FF, 2006, HEART, V92, P727 44279 ISSELBACHER E, 2005, BRAWNWOLD HEART DIS, P1417 44280 JOHNA S, 2002, MED SCI MONIT, V8, CR5 44281 KATAYAMA M, 1992, J IMMUNOL METHODS, V153, P41 44282 KATOH H, 1995, J IMMUNOL METHODS, V185, P57 44283 KHAN IA, 2002, CHEST, V122, P311 44284 KHOURY NE, 1996, ANN EMERG MED, V28, P289 44285 MESZAROS I, 2000, CHEST, V117, P1271 44286 NAKASHIMA Y, 1990, LAB INVEST, V62, P751 44287 NAKASHIMA Y, 1992, AM J PATHOL, V140, P959 44288 NIENABER C, 2004, CIRCULATION, V109, P24 44289 POWELL JT, 1992, ATHEROSCLEROSIS, V97, P201 44290 RUCKER RB, 1977, INT REV EXPT PATHOL, V17, P1 44291 SAWHNEY NS, 2001, CHEST, V120, P1340 44292 SCHILLINGER M, 2002, INTENS CARE MED, V28, P740 44293 SCHUTGENS REG, 2003, CIRCULATION, V107, P593 44294 SHINOHARA T, 2003, ARTERIOSCL THROM VAS, V23, P1839 44295 SPINA M, 1983, ARTERIOSCLEROSIS, V3, P64 44296 SUZUKI T, 1996, CIRCULATION, V93, P1244 44297 SUZUKI T, 1999, JPN HEART J, V40, P527 44298 SUZUKI T, 2000, ANN INTERN MED, V133, P537 44299 VONKODOLITSCH Y, 1997, Z KARDIOL, V86, P469 44300 VONKODOLITSCH Y, 2000, ARCH INTERN MED, V160, P2977 44301 WEBER T, 2003, CHEST, V123, P1375 44302 WEBER T, 2006, HEART, V92, P836 44303 NR 30 44304 TC 0 44305 PU INT SCIENTIFIC LITERATURE, INC 44306 PI ALBERTSON 44307 PA 1125 WILLIS AVE, ALBERTSON, NY 11507 USA 44308 SN 1234-1010 44309 J9 MED SCI MONITOR 44310 JI Med. Sci. Monitor 44311 PD AUG 44312 PY 2007 44313 VL 13 44314 IS 8 44315 BP RA154 44316 EP RA158 44317 PG 5 44318 SC Medicine, Research & Experimental 44319 GA 199SV 44320 UT ISI:000248716400017 44321 ER 44322 44323 PT J 44324 AU Graham, SA 44325 Moseley, DJ 44326 Siewerdsen, JH 44327 Jaffray, DA 44328 AF Graham, S. A. 44329 Moseley, D. J. 44330 Siewerdsen, J. H. 44331 Jaffray, D. A. 44332 TI Compensators for dose and scatter management in cone-beam computed 44333 tomography 44334 SO MEDICAL PHYSICS 44335 LA English 44336 DT Article 44337 DE x-ray scatter; dose; compensator; bow-tie filter; cone-beam CT 44338 ID X-RAY SCATTER; FLAT-PANEL IMAGER; DIAGNOSTIC-RADIOLOGY; RADIATION 44339 DISTRIBUTION; DIGITAL RADIOGRAPHY; AIR GAPS; CT; SIMULATION; REDUCTION; 44340 ALGORITHM 44341 AB The ability of compensators (e.g., bow-tie filters) designed for kV 44342 cone-beam computed tomography (CT) to reduce both scatter reaching the 44343 detector and dose to the patient is investigated. Scattered x rays 44344 reaching the detector are widely recognized as one of the most 44345 significant challenges to cone-beam CT imaging performance. With 44346 cone-beam CT gaining popularity as a method of guiding treatments in 44347 radiation therapy, any methods that have the potential to reduce the 44348 dose to patients and/or improve image quality should be investigated. 44349 Simple compensators with a design that could realistically be 44350 implemented on a cone-beam CT imaging system have been constructed to 44351 determine the magnitude of reduction of scatter and/or dose for various 44352 cone-beam CT imaging conditions. Depending on the situation, the 44353 compensators were shown to reduce x-ray scatter at the detector and 44354 dose to the patient by more than a factor of 2. Further optimization of 44355 the compensators is a possibility to achieve greater reductions in both 44356 scatter and dose. (C) 2007 American Association of Physicists in 44357 Medicine. 44358 C1 Princess Margaret Hosp, Ontario Canc Inst, Toronto, ON M5G 2M9, Canada. 44359 Univ Toronto, Dept Med Biophys, Toronto, ON M5G 2M9, Canada. 44360 Princess Margaret Hosp, Radiat Med Program, Toronto, ON M5G 2M9, Canada. 44361 Univ Toronto, Dept Radiat Oncol, Toronto, ON M5G 2M9, Canada. 44362 RP Graham, SA, Princess Margaret Hosp, Ontario Canc Inst, Toronto, ON M5G 44363 2M9, Canada. 44364 CR BARRETT HH, 1981, RADIOLOGICAL IMAGING 44365 BERGER MJ, 2000, XCOM PHOTON CROSS SE 44366 BERNHARDT TM, 2000, BRIT J RADIOL, V73, P963 44367 BOONE JM, 1988, MED PHYS, V15, P713 44368 BOONE JM, 1988, MED PHYS, V15, P721 44369 BOONE JM, 2000, MED PHYS, V27, P2408 44370 BROOKS RA, 1976, PHYS MED BIOL, V21, P390 44371 EDHOLM P, 1973, 3755672, US 44372 FAHRIG R, 1997, AM J NEURORADIOL, V18, P1507 44373 FAHRIG R, 2000, MED PHYS, V27, P30 44374 FELDKAMP LA, 1984, J OPT SOC AM A, V1, P612 44375 GLOVER GH, 1982, MED PHYS, V9, P860 44376 HOUNSFELD GN, 1975, 3867634, US 44377 HSIEH J, 2000, MED PHYS, V27, P23 44378 HSIEH J, 2003, 6647095, US 44379 ITOH S, 2001, J THORAC IMAG, V16, P81 44380 JAFFRAY DA, 2000, MED PHYS, V27, P1311 44381 JAFFRAY DA, 2002, INT J RADIAT ONCOL, V53, P1337 44382 JARRY G, 2006, MED PHYS, V33, P4320 44383 JOHNS PC, 1982, MED PHYS, V9, P231 44384 KATSUDA T, 1996, RADIOL TECHNOL, V68, P18 44385 MAGERAS GS, 2005, SEMIN RADIAT ONCOL, V15, P133 44386 MALUSEK A, 2003, P SOC PHOTO-OPT INS, V5030, P740 44387 NEITZEL U, 1992, MED PHYS, V19, P475 44388 NING R, 2003, 6618466, US 44389 NING R, 2004, MED PHYS, V31, P1195 44390 NING RL, 2003, MED PHYS, V30, P1694 44391 PERSLIDEN J, 1997, PHYS MED BIOL, V42, P155 44392 SEERAM E, 1994, COMPUTED TOMOGRAPHY 44393 SIEWERDSEN JH, 2000, MED PHYS, V27, P1903 44394 SIEWERDSEN JH, 2001, MED PHYS, V28, P220 44395 SIEWERDSEN JH, 2004, MED PHYS, V31, P3506 44396 SIEWERDSEN JH, 2006, MED PHYS, V33, P187 44397 SMITH CD, 1940, 2216326, US 44398 SPIES L, 2001, PHYS MED BIOL, V46, P821 44399 TKACZYK JE, 2004, P SOC PHOTO-OPT 1&2, V5368, P403 44400 WALTERS RG, 1981, 4288695, US 44401 ZHANG L, 2006, P SOC PHOTO-OPT INS, V6065, P282 44402 NR 38 44403 TC 0 44404 PU AMER ASSOC PHYSICISTS MEDICINE AMER INST PHYSICS 44405 PI MELVILLE 44406 PA STE 1 NO 1, 2 HUNTINGTON QUADRANGLE, MELVILLE, NY 11747-4502 USA 44407 SN 0094-2405 44408 J9 MED PHYS 44409 JI Med. Phys. 44410 PD JUL 44411 PY 2007 44412 VL 34 44413 IS 7 44414 BP 2691 44415 EP 2703 44416 PG 13 44417 SC Radiology, Nuclear Medicine & Medical Imaging 44418 GA 191TK 44419 UT ISI:000248154700004 44420 ER 44421 44422 PT J 44423 AU Levi, R 44424 Pal, M 44425 Roundy, RO 44426 Shmoys, DB 44427 AF Levi, Retsef 44428 Pal, Martin 44429 Roundy, Robin O. 44430 Shmoys, David B. 44431 TI Approximation algorithms for Stochastic inventory control models 44432 SO MATHEMATICS OF OPERATIONS RESEARCH 44433 LA English 44434 DT Article 44435 DE inventory; approximation; dual-balancing; algorithms 44436 ID OPTIMAL POLICIES; DEMAND 44437 AB We consider two classical stochastic inventory control models, the 44438 periodic-review stochastic inventory control problem and the stochastic 44439 lot-sizing problem. The goal is to coordinate a sequence of orders of a 44440 single commodity, aiming to supply stochastic demands over a discrete, 44441 finite horizon with minimum expected overall ordering, holding, and 44442 backlogging costs. In this paper, we address the important problem of 44443 finding computationally efficient and provably good inventory control 44444 policies for these models in the presence of correlated, nonstationary 44445 (time-dependent), and evolving stochastic demands. This problem arises 44446 in many domains and has many practical applications in supply chain 44447 management. 44448 Our approach is based on a new marginal cost accounting scheme for 44449 stochastic inventory control models combined with novel cost-balancing 44450 techniques. Specifically, in each period, we balance the expected cost 44451 of overordering (i.e., costs incurred by excess inventory) against the 44452 expected cost of underordering (i.e., costs incurred by not satisfying 44453 demand on time). This leads to what we believe to be the first 44454 computationally efficient policies with constant worst-case performance 44455 guarantees for a general class of important stochastic inventory 44456 control models. That is, there exists a constant C such that, for any 44457 instance of the problem, the expected cost of the policy is at most C 44458 times the expected cost of an optimal policy. In particular, we provide 44459 a worst-case guarantee of two for the periodic-review stochastic 44460 inventory control problem and a worst-case guarantee of three for the 44461 stochastic lot-sizing problem. Our results are valid for all of the 44462 currently known approaches in the literature to model correlation and 44463 nonstationarity of demands over time. 44464 C1 MIT, Alfred P Sloan Sch Management, Cambridge, MA 02139 USA. 44465 Google Inc, New York, NY 10018 USA. 44466 Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY 14853 USA. 44467 Cornell Univ, Dept Comp Sci, Ithaca, NY 14853 USA. 44468 RP Levi, R, MIT, Alfred P Sloan Sch Management, Cambridge, MA 02139 USA. 44469 EM retsef@mit.edu 44470 martin@palenica.com 44471 robin@orie.cornell.edu 44472 shmoys@cs.cornell.edu 44473 CR AXSATER S, 1984, LECT NOTES COMPUTER, P839 44474 AXSATER S, 1990, OPER RES, V38, P64 44475 BERTSIMAS D, 2004, LECT NOTES COMPUTER, P86 44476 CHAN EWM, 1999, THESIS CORNELL U ITH 44477 CHAN EWM, 1999, UNPUB MARKOV CHAIN M 44478 CHEN FR, 2001, OPER RES, V49, P226 44479 DEAN BC, 2004, P 45 ANN IEEE S FDN, P208 44480 DONG LX, 2003, OPER RES, V51, P969 44481 DYE S, 2003, NAV RES LOG, V50, P869 44482 ERKIP N, 1990, MANAGE SCI, V36, P381 44483 GALLEGO G, 2001, MANAGE SCI, V47, P1344 44484 GALLEGO G, 2001, MANAGE SCI, V47, P1344 44485 HALMAN N, 2006, FULLY POLYNOMIAL TIM 44486 HURLEY G, 2005, UNPUB NEW POLICIES S 44487 IGNALL E, 1969, MANAGE SCI, V15, P284 44488 IIDA T, 2006, M&SOM-MANUF SERV OP, V8, P407 44489 JONEJA D, 1990, OPER RES, V38, P723 44490 LEE HL, 2000, MANAGE SCI, V46, P626 44491 LEVI R, 2004, UNPUB APPROXIMATION 44492 LEVI R, 2005, UNPUB PROVABLY NEAR 44493 LU X, 2003, IN PRESS OPER RES 44494 MOHRING RH, 1984, Z OPER RES, V28, P193 44495 MOHRING RH, 1984, ZOR Z OPERATIONS RES, V29, P65 44496 MOHRING RH, 1999, J ACM, V46, P924 44497 MUHARREMOGLU A, 2001, SINGLE UNIT DECOMPOS 44498 SHMOYS DB, 2004, 45 ANN IEEE S FDN CO, P228 44499 SILVER EA, 1973, PRODUCTION INVENTORY, V14, P64 44500 SONG JS, 1993, OPER RES, V41, P351 44501 STOUGIE L, 2003, 03A14 SOM 44502 VEINOTT AF, 1965, MANAGE SCI, V12, P206 44503 ZIPKIN PH, 2000, FDN INVENTORY MANAGE 44504 NR 31 44505 TC 0 44506 PU INST OPERATIONS RESEARCH MANAGEMENT SCIENCES 44507 PI HANOVER 44508 PA 7240 PARKWAY DR, STE 310, HANOVER, MD 21076-1344 USA 44509 SN 0364-765X 44510 J9 MATH OPER RES 44511 JI Math. Oper. Res. 44512 PD MAY 44513 PY 2007 44514 VL 32 44515 IS 2 44516 BP 284 44517 EP 302 44518 PG 19 44519 SC Operations Research & Management Science; Mathematics, Applied 44520 GA 200DI 44521 UT ISI:000248743700003 44522 ER 44523 44524 PT J 44525 AU Firat, M 44526 Gungor, M 44527 AF Firat, Mahmut 44528 Gungor, Mahmud 44529 TI River flow estimation using adaptive neuro fuzzy inference system 44530 SO MATHEMATICS AND COMPUTERS IN SIMULATION 44531 LA English 44532 DT Article 44533 DE River flow estimation; Great Menderes River; ANN; fuzzy logic; ANFIS 44534 ID NETWORK; PREDICTION; MODEL; RUNOFF; LOGIC 44535 AB Accurate estimation of River flow changes is a quite important problem 44536 for a wise and sustainable use. Such a problem is crucial to the works 44537 and decisions related to the water resources and management. In this 44538 study, an adaptive network-based fuzzy inference system (ANFIS) 44539 approach was used to construct a River flow forecasting system. In 44540 particular, the applicability of ANFIS as an estimation model for River 44541 flow was investigated. To illustrate the applicability and capability 44542 of the ANFIS, the River Great Menderes. located die west of Turkey and 44543 the most important water resource of Great Menderes Catchment's, was 44544 chosen as a case study area. The advantage of this method is that it 44545 uses the input-output data sets. Totally 5844 daily data sets collected 44546 in 1985-2000 years were used to estimate the River flow. The models 44547 having various input structures were constructed and the best structure 44548 was investigated. In addition four various training/testing data sets 44549 were constructed by cross validation methods and the best data set was 44550 investigated. T-ie performance of the ANFIS models in training and 44551 testing sets were compared with the observations and also evaluated. 44552 The results indicated that the ANFIS can be applied successfully and 44553 provide high accuracy and reliability for River flow estimation. (C) 44554 2006 IMACS. Published by Elsevier B.V. All rights reserved. 44555 C1 Pamukkale Univ, Fac Engn, Dept Civil Engn, TR-20017 Denizli, Turkey. 44556 RP Firat, M, Pamukkale Univ, Fac Engn, Dept Civil Engn, TR-20017 Denizli, 44557 Turkey. 44558 EM mfirat@pamukkale.edu.tr 44559 mgungor@pamukkale.edu.tr 44560 CR BODRI L, 2000, ADV ENG SOFTW, V31, P311 44561 CHANG FJ, 2001, HYDROL PROCESS, V15, P219 44562 CHANG FJ, 2006, ADV WATER RESOUR, V29, P1 44563 CHEN SH, 2006, HYDROL PROCESS, V20, P1525 44564 DASILVA IN, 1999, MATH COMPUT SIMULAT, V48, P251 44565 DIBIKE YB, 2001, PHYS CHEM EARTH PT B, V26, P1 44566 ERTUNGA CO, 2001, J HYDROL, V253, P41 44567 FIRAT M, 2004, IMO TECHNICAL J, V15, P3267 44568 HSU K, 1998, ASCE WATER RESOURCES, P967 44569 JAIN SK, 1998, ASCE J WATER RES PLA, V25 44570 JANG JSR, 1997, NEUROFUZZY SOFT COMP, P607 44571 LIONG SY, 2000, HYDROL PROCESS, V14, P431 44572 MAHABIR C, 2003, HYDROL PROCESS, V17, P3749 44573 MITRA B, 1998, GEODERMA, V86, P183 44574 NAGY HM, 2002, J HYDRAUL ENG-ASCE, V128, P588 44575 NAYAK PC, 2004, HYDROLIC PROCESS, V17, P3749 44576 NAYAK PC, 2004, J HYDROL, V291, P52 44577 SAJIKUMAR N, 1999, J HYDROL, V216, P32 44578 SEN Z, 2001, FUZZY LOGIC FDN 44579 SEN Z, 2004, ARTIFICIAL NEURAL NE 44580 NR 20 44581 TC 0 44582 PU ELSEVIER SCIENCE BV 44583 PI AMSTERDAM 44584 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 44585 SN 0378-4754 44586 J9 MATH COMPUT SIMULAT 44587 JI Math. Comput. Simul. 44588 PD JUL 2 44589 PY 2007 44590 VL 75 44591 IS 3-4 44592 BP 87 44593 EP 96 44594 PG 10 44595 SC Computer Science, Interdisciplinary Applications; Computer Science, 44596 Software Engineering; Mathematics, Applied 44597 GA 189OQ 44598 UT ISI:000247998800003 44599 ER 44600 44601 PT J 44602 AU Li, JS 44603 Huang, NJ 44604 AF Li, Jingshan 44605 Huang, Ningjian 44606 TI Quality evaluation in flexible manufacturing systems: A Markovian 44607 approach 44608 SO MATHEMATICAL PROBLEMS IN ENGINEERING 44609 LA English 44610 DT Article 44611 ID ASSEMBLY SYSTEMS; PRODUCTION LINE; FLEXIBILITY; PRODUCTIVITY; 44612 DIRECTIONS; DESIGN; IMPACT 44613 AB The flexible manufacturing system ( FMS) has attracted substantial 44614 amount of research effort during the last twenty years. Most of the 44615 studies address the issues of flexibility, productivity, cost, and so 44616 forth. The impact of flexible lines on product quality is less studied. 44617 This paper intends to address this issue by applying a Markov model to 44618 evaluate quality performance of a flexible manufacturing system. Closed 44619 expressions to calculate good part probability are derived and 44620 discussions to maintain high product quality are carried out. An 44621 example of flexible fixture in machining system is provided to 44622 illustrate the applicability of the method. The results of this study 44623 suggest a possible approach to investigate the impact of flexibility on 44624 product quality and, finally, with extensions and enrichment of the 44625 model, may lead to provide production engineers and managers a better 44626 understanding of the quality implications and to summarize some general 44627 guidelines of operation management in flexible manufacturing systems. 44628 Copyright (c) 2007 J. Li and N. Huang. 44629 C1 Univ Kentucky, Dept Elect & Comp Engn, Lexington, KY 40506 USA. 44630 Univ Kentucky, Ctr Mfg, Lexington, KY 40506 USA. 44631 GM Corp, Gen Motors Res & Dev Ctr, Mfg Syst Res Lab, Warren, MI 48090 USA. 44632 RP Li, JS, Univ Kentucky, Dept Elect & Comp Engn, Lexington, KY 40506 USA. 44633 EM jingshan@engr.uky.edu 44634 ninja.huang@gm.com 44635 CR BARAD M, 1997, INT J COMP INTEG M, V10, P296 44636 BEACH R, 2000, EUR J OPER RES, V122, P41 44637 BI ZM, 2001, INT J PROD RES, V39, P2867 44638 BOLAT A, 1989, 893 DEPT IND OP ENG 44639 BULGAK AA, 1992, J MANUF SYST, V11, P124 44640 BUZACOTT JA, 1982, P 1 INT C FLEX MAN S, P13 44641 BUZACOTT JA, 1986, MANAGE SCI, V32, P890 44642 BUZACOTT JA, 1993, STOCHASTIC MODELS MA 44643 CHEN FF, 1991, IEEE T ENG MANAGE, V38, P33 44644 CHENG CH, 2000, IEEE T ENG MANAGE, V47, P321 44645 DASILVEIRA G, 2001, INT J PROD ECON, V72, P1 44646 DETONI A, 1998, INT J PROD RES, V36, P1587 44647 DING Y, 2005, IIE TRANS, V37, P493 44648 HOEL PG, 1972, INTRO STOCHASTIC PRO 44649 INMAN RR, 2003, INT J PROD RES, V41, P1953 44650 JACOBS D, 1991, COMPUT MATH APPL, V21, P85 44651 KHOUJA M, 1995, INT J ADV MANUF TECH, V10, P342 44652 KIM J, 2005, OR SPECTRUM, V27, P287 44653 LI J, 2005, 10274 GEN MOT RES DE 44654 LI J, 2007, IIE T, V39 44655 LI JS, 2006, IIE TRANS, V38, P837 44656 LI JS, 2007, IEEE T AUTOM SCI ENG, V4, P75 44657 MATANACHAI S, 2001, IIE TRANS, V33, P29 44658 PAYNE J, 2000, INT J PROD RES, V38, P4763 44659 SETHI AK, 1990, INT J FLEX MANUF SYS, V2, P289 44660 SHI D, 2003, IBM SYST J, V42, P414 44661 SON YK, 1987, J MANUF SYST, V6, P193 44662 TEMPELMEIER H, 1993, FLEXIBLE MANUFACTURI 44663 URBAN TL, 1998, INT J PROD RES, V36, P3085 44664 VANHOP N, 2005, INT J PROD RES, V43, P3605 44665 VISWANADHAM N, 1992, MATH COMPUT MODEL, V16, P15 44666 VISWANADHAM N, 1996, IEEE T SYST MAN CY A, V26, P222 44667 VISWANADHAN N, 1992, PERFORMANCE MODELING 44668 ZHOU M, 1999, MODELING SIMULATION 44669 ZOIA DE, 2005, HARBOUR OUTLINES WHO 44670 NR 35 44671 TC 0 44672 PU HINDAWI PUBLISHING CORPORATION 44673 PI NEW YORK 44674 PA 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA 44675 SN 1024-123X 44676 J9 MATH PROBL ENG 44677 JI Math. Probl. Eng. 44678 PY 2007 44679 AR 57128 44680 DI ARTN 57128 44681 PG 24 44682 SC Engineering, Multidisciplinary; Mathematics, Interdisciplinary 44683 Applications 44684 GA 196CG 44685 UT ISI:000248458700001 44686 ER 44687 44688 PT J 44689 AU Cachon, GP 44690 Kok, AG 44691 AF Cachon, Gerard P. 44692 Kok, A. Gurhan 44693 TI Implementation of the newsvendor model with clearance pricing: How to 44694 (and how not to) estimate a salvage value 44695 SO M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT 44696 LA English 44697 DT Article 44698 DE markdown management; game theory; retailing; inventory; revenue 44699 management 44700 ID INVENTORY SYSTEMS; DEMAND; POLICIES; MARKET; MANAGEMENT; BOUNDS; SALES; 44701 UNCERTAINTY; INVESTMENT; PRODUCTS 44702 AB The newsvendor model is designed to decide how much of a product to 44703 order when the product is to be sold over a short selling season with 44704 stochastic demand and there are no additional opportunities to 44705 replenish inventory. There are many practical situations that 44706 reasonably conform to those assumptions, but the traditional newsvendor 44707 model also assumes a fixed salvage value: all inventory left over at 44708 the end of the season is sold off at a fixed per-unit price. The fixed 44709 salvage value assumption is questionable when a clearance price is 44710 rationally chosen in response to the events observed during the selling 44711 season: a deep discount should be taken if there is plenty of inventory 44712 remaining at the end of the season, whereas a shallow discount is 44713 appropriate for a product with higher than expected demand. This paper 44714 solves for the optimal order quantity in the newsvendor model, assuming 44715 rational clearance pricing. We then study the performance of the 44716 traditional newsvendor model. The key to effective implementation of 44717 the traditional newsvendor model is choosing an appropriate fixed 44718 salvage value. (We show that an optimal order quantity cannot be 44719 generally achieved by merely enhancing the traditional newsvendor model 44720 to include a nonlinear salvage value function.) We demonstrate that 44721 several intuitive methods for estimating the salvage value can lead to 44722 an excessively large order quantity and a substantial profit loss. Even 44723 though the traditional model can result in poor performance, the model 44724 seems as if it is working correctly: the order quantity chosen is 44725 optimal given the salvage value inputted to the model, and the observed 44726 salvage value given the chosen order quantity equals the inputted one. 44727 We discuss how to estimate a salvage value that leads the traditional 44728 newsvendor model to the optimal or near-optimal order quantity Our 44729 results highlight the importance of understanding how a model can 44730 interact with its own inputs: when inputs to a model are influenced by 44731 the decisions of the model, care is needed to appreciate how that 44732 interaction influences the decisions recommended by the model and how 44733 the model's inputs should be estimated. 44734 C1 Univ Penn, Wharton Sch, Philadelphia, PA 19104 USA. 44735 Duke Univ, Fuqua Sch Business, Durham, NC 27708 USA. 44736 RP Cachon, GP, Univ Penn, Wharton Sch, Philadelphia, PA 19104 USA. 44737 EM cachon@wharton.upenn.edu 44738 gurhan.kok@duke.edu 44739 CR AGRAWAL V, 2000, MANUFACTURING SERVIC, V2, P410 44740 AGRAWAL V, 2000, NAV RES LOG, V47, P635 44741 ARMONY M, 2005, MANAGE SCI, V51, P1505 44742 AXSATER S, 1996, MANAGE SCI, V42, P830 44743 BALAKRISHNAN A, 2004, MANAGE SCI, V50, P630 44744 BERRY S, 1995, ECONOMETRICA, V63, P841 44745 BERTSEKAS DP, 2000, DYNAMIC PROGRAMMING 44746 BITRAN GB, 1997, OPER RES, V46, P609 44747 BITRAN GR, 1997, MANAGE SCI, V43, P64 44748 BRUMELLE SL, 1990, TRANSPORT SCI, V24, P183 44749 CACHON G, 2003, HDB OPERATIONS RES M, P229 44750 CACHON G, 2005, MANUFACTURING SERVIC, V7, P330 44751 CARR S, 2000, MANAGE SCI, V46, P912 44752 CHINTAGUNTA P, 2006, MARKET SCI, V25, P604 44753 COOPER WL, 2006, OPER RES, V54, P968 44754 DANA JD, 2001, MANAGE SCI, V47, P1488 44755 DOBSON G, 1988, OPER RES, V36, P570 44756 DONOHUE KL, 2000, MANAGE SCI, V46, P1397 44757 EECKHOUDT L, 1995, MANAGE SCI, V41, P786 44758 FEDERGRUEN A, 1999, OPER RES, V47, P454 44759 FENG YY, 1995, MANAGE SCI, V41, P1371 44760 FISHER M, 1996, OPER RES, V44, P87 44761 FISHER M, 2001, MANUFACTURING SERVIC, V3, P230 44762 GALLEGO G, 1994, MANAGE SCI, V40, P999 44763 GALLEGO G, 1998, MANAGE SCI, V44, P219 44764 HERTZ DB, 1960, OPER RES, V8, P45 44765 HOCH S, 1995, J MARKETING, V13, P7 44766 KOUVELIS P, 1997, MANAGE SCI, V43, P571 44767 LEE H, 2002, MANAGE SCI, V48, P719 44768 LEE HL, 1996, OPER RES, V44, P151 44769 LI L, 1992, MANAGE SCI, V38, P182 44770 LIPPMAN S, 1995, OPER RES, V45, P54 44771 LOVEJOY WS, 1990, MANAGE SCI, V36, P724 44772 MONAHAN GE, 2004, MANUFACTURING SERVIC, V6, P73 44773 MULHERN FJ, 1991, J MARKETING, V55, P63 44774 NEVO A, 2001, ECONOMETRICA, V69, P307 44775 PETRUZZI NC, 1999, OPER RES, V47, P183 44776 PETRUZZI NC, 2001, MANUFACTURING SERVIC, V3, P242 44777 PORTEUS EL, 1990, HDB OR MS, V2, P605 44778 SCHWEITZER ME, 2000, MANAGE SCI, V46, P404 44779 SHANG KH, 2003, MANAGE SCI, V49, P618 44780 SMITH SA, 1998, MANAGE SCI, V44, P285 44781 TELLIS GJ, 1988, J MARKETING RES, V25, P331 44782 VANMIEGHEM JA, 1999, MANAGE SCI, V45, P954 44783 VANMIEGHEM JA, 2002, MANUFACTURING SERVIC, V4, P313 44784 VANRYZIN G, 1999, MANAGE SCI, V45, P1496 44785 VIVES X, 1999, OLIGOPOLISTIC COMPET 44786 ZHENG YS, 1992, MANAGE SCI, V38, P87 44787 NR 48 44788 TC 0 44789 PU INFORMS 44790 PI HANOVER 44791 PA 7240 PARKWAY DRIVE, STE 310, HANOVER, MD 21076-1310 USA 44792 SN 1523-4614 44793 J9 M&SOM-MANUF SERV OPER MANAG 44794 JI M&SOM-Manuf. Serv. Oper. Manag. 44795 PD SUM 44796 PY 2007 44797 VL 9 44798 IS 3 44799 BP 276 44800 EP 290 44801 PG 15 44802 SC Management; Operations Research & Management Science 44803 GA 188RM 44804 UT ISI:000247937000004 44805 ER 44806 44807 PT J 44808 AU Bureau, C 44809 Pagan, JCG 44810 Layrargues, GP 44811 Metivier, S 44812 Bellot, P 44813 Perreault, P 44814 Otal, P 44815 Abraldes, JG 44816 Peron, JM 44817 Rousseau, H 44818 Bosch, J 44819 Vinel, JP 44820 AF Bureau, Christophe 44821 Garcia Pagan, Juan Carlos 44822 Layrargues, Gilles Pomier 44823 Metivier, Sophie 44824 Bellot, Pablo 44825 Perreault, Pierre 44826 Otal, Philippe 44827 Abraldes, Juan-G 44828 Peron, Jean Marie 44829 Rousseau, Herve 44830 Bosch, Jaume 44831 Vinel, Jean Pierre 44832 TI Patency of stents covered with polytetrafluoroethylene in patients 44833 treated by transjugular intrahepatic portosystemic shunts: long-term 44834 results of a randomized multicentre study 44835 SO LIVER INTERNATIONAL 44836 LA English 44837 DT Article 44838 DE cirrhosis; covered stents; TIPS 44839 ID REFRACTORY ASCITES; ENDOSCOPIC THERAPY; COST-EFFECTIVENESS; TIPS; 44840 METAANALYSIS; GRAFTS; PREVENTION; MANAGEMENT; CREATION 44841 AB An 80% dysfunction rate at 2 years limits the use of transjugular 44842 intrahepatic portosystemic shunts ( TIPS) in the treatment of 44843 complications of portal hypertension. The use of covered stents could 44844 improve shunt patency; however, long- term effect and safety remain 44845 unknown. Eighty patients randomized to be treated by TIPS either with a 44846 covered stent ( Group 1) or an uncovered prosthesis ( Group 2) were 44847 followed- up for 2 years. Doppler US was performed every 3 months. 44848 Angiography and portosystemic pressure gradient measurement were 44849 performed every 6 months or whenever dysfunction was suspected. 44850 Actuarial rates of primary patency in Groups 1 and 2 were 76% and 36% 44851 respectively ( P = 0.001). Clinical relapse occurred in four patients ( 44852 10%) in Group 1 and 12 ( 29%) in Group 2 ( P<0.05). Actuarial rates of 44853 being free of encephalopathy were 67% in Group 1 and 51% in Group 2 ( 44854 P<0.05). Probability of survival was 58% and 45% at 2 years, 44855 respectively, in Groups 1 and 2 ( NS). The mean Child - Pugh score 44856 improved only in Group 1 ( from 8.1 +/- 1.6 to 7 +/- 2.2 at 2 years - 44857 P<0.05). We also compared the Doppler- US parameters between patent and 44858 dysfunctioning shunts. In patent shunts, the mean velocity within the 44859 portal vein was significantly higher but the performance of Doppler- US 44860 was not accurate enough to predict shunt dysfunction. In conclusion, 44861 the improvement in TIPS patency by using covered prostheses is 44862 maintained over time with a decreased risk of encephalopathy, while the 44863 risk of death was not increased. 44864 C1 CHU Purpan, Serv Hepatogastroenterol, Federat Digest Purpan, F-31059 Toulouse, France. 44865 CHU Rangueil, INSERM U858, I2MR, F-31073 Toulouse, France. 44866 Hosp Clin Barcelona, Hepat Hemodynam Liver Unit, Barcelona 36, Spain. 44867 Hop St Luc, Liver Unit, Montreal, PQ H2X 1P1, Canada. 44868 Ctr Hosp Univ Rangueil, Serv Radiol, Toulouse, France. 44869 RP Bureau, C, CHU Purpan, Serv Hepatogastroenterol, Federat Digest Purpan, 44870 Pl Baylac, F-31059 Toulouse, France. 44871 EM bureau.c@chu-toulouse.fr 44872 CR ALBILLOS A, 2005, J HEPATOL, V43, P990 44873 ANDREWS RT, 1999, J VASC INTERV RADIOL, V10, P1371 44874 ANGERMAYR B, 2003, HEPATOLOGY, V38, P1043 44875 BOYER TD, 2003, GASTROENTEROLOGY, V124, P1700 44876 BUREAU C, 2004, GASTROENTEROLOGY, V126, P469 44877 BURROUGHS AK, 2002, SCAND J GASTROENTERO, V37, P249 44878 CASADO M, 1998, GASTROENTEROLOGY, V114, P1296 44879 CEJNA M, 2001, RADIOLOGY, V221, P437 44880 CONN HO, 1972, MEDICINE, V51, P27 44881 DAMICO G, 2005, GASTROENTEROLOGY, V129, P1282 44882 DELTENRE P, 2005, LIVER INT, V25, P349 44883 DISALLE RS, 1998, CARDIOVASC INTER RAD, V21, P172 44884 HASKAL ZJ, 1997, RADIOLOGY, V205, P682 44885 HASKAL ZJ, 1999, RADIOLOGY, V213, P759 44886 MAHADEVA S, 2003, AM J GASTROENTEROL, V98, P2688 44887 MEDDI P, 1999, HEPATOLOGY, V29, P1074 44888 NISHIMINE K, 1995, RADIOLOGY, V196, P341 44889 OTAL P, 2002, AM J ROENTGENOL, V178, P141 44890 ROSEMURGY AS, 1997, SURGERY, V122, P794 44891 ROSSLE M, 2004, BEST PRACT RES CL GA, V18, P99 44892 RUSSO MW, 2000, HEPATOLOGY, V31, P358 44893 SANYAL AJ, 1997, GASTROENTEROLOGY, V112, P889 44894 NR 22 44895 TC 0 44896 PU BLACKWELL PUBLISHING 44897 PI OXFORD 44898 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 44899 SN 1478-3223 44900 J9 LIVER INT 44901 JI Liver Int. 44902 PD AUG 44903 PY 2007 44904 VL 27 44905 IS 6 44906 BP 742 44907 EP 747 44908 PG 6 44909 SC Gastroenterology & Hepatology 44910 GA 186VU 44911 UT ISI:000247807300002 44912 ER 44913 44914 PT J 44915 AU Walter, D 44916 Dopfner, M 44917 AF Walter, Daniel 44918 Doepfner, Manfred 44919 TI Treatment of adolescents with academic problems with the SELBST-program 44920 - concept and case vignette 44921 SO KINDHEIT UND ENTWICKLUNG 44922 LA German 44923 DT Article 44924 DE SELBST; cognitiv-behavior therapy; adolescence; self management; 44925 academic problems; multimodal therapy 44926 ID DISORDERS 44927 AB Academic underachievement is wide-spread in adolescence and proses a 44928 considerable risk for further development. Many youngsters are 44929 appropriately placed in school, but nevertheless show unsufficient 44930 school performance so that their ability to continue in school is in 44931 great danger. Often the relationship between the youngster and the 44932 parent is very much impaired due to the academic problems as well. The 44933 so far available guidebooks, self-help manuals, and training programs 44934 available to date for the treatment of achievement problems within 44935 adolescence have not been empirically evaluated. The treatment approach 44936 SELBST - a treatment program for adolescents with problems in 44937 self-esteem, achievement, and relationships - aims at tackling common 44938 problems in adolescence and takes into account particularities in the 44939 therapeutic work with youngsters. SELBST is not disorder specific, 44940 multimodal, and consists of adolescent, parent and teacher focused 44941 interventions. The module "achievement problems" is part of the 44942 treatment program and tries to enhance achievement motivation and 44943 organizational skills, to improve active participation during lessons, 44944 and to reduce gaps in knowledge. The therapeutic work is described on 44945 the basis of a case vignette, results of a clinical study are 44946 summarized. 44947 C1 Klinikum Univ Cologne, Klin & Poliklin Psychiat & Psychotherapie Kindes, D-50931 Cologne, Germany. 44948 RP Walter, D, Klinikum Univ Cologne, Klin & Poliklin Psychiat & 44949 Psychotherapie Kindes, Robert Koch Str 10, D-50931 Cologne, Germany. 44950 CR *ARB DTSCH CHILD B, 1993, LEHR VERH KIND JUG D 44951 *ARB DTSCH CHILD B, 1998, 48 CBCL KJFD ARB DTS 44952 *ARB DTSCH CHILD B, 1998, FRAG JUG DTSCH BEARB 44953 *BUND BILD FORSCH, 2001, GRAUND STRUKT 2000 2 44954 *STAT BUND DEUTSCH, 2002, FACHS STAT BUND DEUT, V11 44955 *STAT BUND DEUTSCH, 2005, FACHS STAT BUND DEUT, V11 44956 ALSAKER FD, 2005, KINDH ENTWICKL, V14, P169 44957 BAUMERT J, 2001, PISA 2000 BASISKOMPE 44958 BETZ D, 1998, TEUFELSKREIS LERNSTO 44959 DOPFNER M, 2000, DIAGNOSTIK SYSTEM PS 44960 DOPFNER M, 2000, HYPERKINETISCHE STOR 44961 DOPFNER M, 2000, THERAPIEPROGRAMM KIN 44962 DOPFNER M, 2006, SCHULE PSYCHISCHE ST, P218 44963 ESSER G, 2000, Z KL PSYCH PSYCHOTH, V29, P276 44964 ESSER G, 2002, Z KL PSYCH PSYCHOTH, V31, P235 44965 GROEN G, 2002, DEPRESSIVE KINDER JU 44966 HARRINGTON RC, 2001, KOGNITIVE VERHALTENS 44967 IHLE W, 2003, STIMMUNGSPROBLEME BE 44968 KANFER FH, 2000, SELBSTMANAGEMENT THE 44969 LAUTH G, 1999, VERHALTENSTHERAPIE V, P76 44970 LAUTH GW, 2006, KINDH ENTWICKL, V15, P199 44971 MAY P, 2002, HAMBURGER SCHREIB PR 44972 PETERMANN F, 2007, TRAINING JUGENDLICHE 44973 RADEMACHER C, 2002, KINDH ENTWICKL, V11, P107 44974 RESCH F, 1999, ENTWICKLUNGSPSYCHOPA 44975 SCHMIDT MH, 2006, KINDH ENTWICKL, V15, P133 44976 WALTER D, UNPUB BEHANDLUNG JUG 44977 WALTER D, 2006, VERHALTENSTHERAPIE, V16, P257 44978 WALTER D, 2007, GRUNDLAGEN SELBSTMAN, V1 44979 WALTER D, 2007, LEISTUNGSPROBLEME JU, V2 44980 NR 30 44981 TC 1 44982 PU HOGREFE & HUBER PUBLISHERS 44983 PI GOTTINGEN 44984 PA ROHNSWEG 25, D-37085 GOTTINGEN, GERMANY 44985 SN 0942-5403 44986 J9 KINDH ENTWICKL 44987 JI Kindh. Entwickl. 44988 PY 2007 44989 VL 16 44990 IS 3 44991 BP 163 44992 EP 170 44993 PG 8 44994 SC Psychology, Developmental 44995 GA 188AX 44996 UT ISI:000247891900005 44997 ER 44998 44999 PT J 45000 AU Westhoff, TH 45001 Franke, N 45002 Schmidt, S 45003 Vallbracht-Israng, K 45004 Meissner, R 45005 Yildirim, H 45006 Schlattmann, P 45007 Zidek, W 45008 Dimeo, F 45009 van der Giet, M 45010 AF Westhoff, Timm H. 45011 Franke, Nadine 45012 Schmidt, Sven 45013 Vallbracht-Israng, Katja 45014 Meissner, Romy 45015 Yildirim, Havva 45016 Schlattmann, Peter 45017 Zidek, Walter 45018 Dimeo, Fernando 45019 van der Giet, Markus 45020 TI Too old to benefit from sports? The cardiovascular effects of exercise 45021 training in elderly subjects treated for isolated systolic hypertension 45022 SO KIDNEY & BLOOD PRESSURE RESEARCH 45023 LA English 45024 DT Article 45025 DE isolated systolic hypertension; exercise; pulse pressure; endothelium 45026 ID BLOOD-PRESSURE; ENDOTHELIAL DYSFUNCTION; AEROBIC EXERCISE; PULSE 45027 PRESSURE; RISK FACTOR; DISEASE; TRANSPLANTATION; GUIDELINES; 45028 MANAGEMENT; MORTALITY 45029 AB Background: Hypertension in the elderly is commonly characterized by an 45030 elevation of pulse pressure. With regard to advanced arteriosclerosis 45031 and limited physical fitness, doubt was casted whether elderly patients 45032 still achieve relevant cardiovascular benefits by physical exercise. 45033 The present work examines the impact of pulse pressure as a footprint 45034 of vascular ageing on cardiovascular benefits of endurance training in 45035 elderly hypertensives. Methods: 54 patients >= 60 years with systolic 45036 24- hour ambulatory blood pressure ( ABP) > 140 mm Hg and/ or 45037 antihypertensive treatment and diastolic ABP <= 90 mm Hg were randomly 45038 assigned to sedentary activity or a 12- week treadmill exercise program 45039 ( target lactate 2.5 +/- 0.5 mmol/ l). Results: Exercise significantly 45040 decreased systolic and diastolic ABP by 8.5 +/- 8.2 and 5.1 +/- 3.7 mm 45041 Hg ( p < 0.001 each) and increased physical performance. Arterial 45042 compliance remained unchanged, whereas endotheliumdependent 45043 vasodilation - measured by flow- mediated dilation - significantly 45044 increased from 5.6 +/- 1.7 to 7.9 +/- 3.0% ( p < 0.007). After 45045 adjustment for initial systolic ABP, pulse pressure did not affect the 45046 change of BP. Conclusion: The exercise- induced reduction of BP, which 45047 is mediated by improved endothelial function, is independent of pulse 45048 pressure. Thus, physical exercise is a helpful adjunct to control BP 45049 even in old hypertensives with markedly increased arterial stiffness. 45050 C1 Med Klin 4, DE-12200 Berlin, Germany. 45051 Dept Cardiol, Berlin, Germany. 45052 Charite CBF, Dept Clin Epidemiol & Biostat, Berlin, Germany. 45053 Med Klin 3, Sect Sports Med, Berlin, Germany. 45054 RP Westhoff, TH, Med Klin 4, Charite Campus Benjamin 45055 Franklin,Hindenburgdamm 3, DE-12200 Berlin, Germany. 45056 EM timm.westhoff@charite.de 45057 CR 1995, GUIDELINES EXERCISE 45058 ALAM MG, 2003, AM J HYPERTENS, V16, P140 45059 ARAKAWA K, 1993, J HYPERTENS, V11, P223 45060 CELERMAJER DS, 1992, LANCET, V340, P1111 45061 CHOBANIAN AV, 2003, JAMA-J AM MED ASSOC, V289, P2560 45062 COHN JN, 1995, HYPERTENSION, V26, P503 45063 CONONIE CC, 1991, MED SCI SPORT EXER, V23, P505 45064 CUSPIDI C, 2004, J HYPERTENS, V22, P273 45065 DIMEO FC, 1997, CANCER, V79, P1717 45066 DOMANSKI M, 2002, JAMA-J AM MED ASSOC, V287, P2677 45067 FAGARD RH, 2001, MED SCI SPORT EXER S, V33, S484 45068 FERRIER KE, 2001, HYPERTENSION, V38, P222 45069 FRANKLIN SS, 1997, CIRCULATION, V96, P308 45070 FRANKLIN SS, 1999, CIRCULATION, V100, P354 45071 HAGBERG JM, 1989, AM J CARDIOL, V64, P348 45072 HAMBRECHT R, 2000, NEW ENGL J MED, V342, P454 45073 KINDERMANN W, 1979, EUR J APPL PHYSIOL O, V42, P25 45074 MAIORANA A, 2003, SPORTS MED, V33, P1013 45075 MANCIA G, 2003, J HYPERTENS, V21, P1011 45076 MCINNES GT, 2002, BLOOD PRESSURE, V11, P134 45077 OHKUBO T, 1997, AM J HYPERTENS, V10, P1201 45078 OROURKE MF, 2005, HYPERTENSION, V45, P652 45079 PESCATELLO LS, 2004, MED SCI SPORT EXER, V36, P533 45080 PYKE KE, 2005, J PHYSIOL-LONDON, V568, P357 45081 SORENSEN KE, 1995, BRIT HEART J, V74, P247 45082 STAESSEN JA, 2000, LANCET, V355, P865 45083 SWALES JD, 1999, AM HEART J, V138, P231 45084 VALLBRACHT KB, 2002, J AM COLL CARDIOL, V40, P515 45085 VALLBRACHT KB, 2004, CIRCULATION, V110, P2938 45086 WESTHOFF TH, 2006, TRANSPLANTATION, V81, P1410 45087 WILKING SVB, 1988, JAMA-J AM MED ASSOC, V260, P3451 45088 WILLIAMS B, 2004, J HUM HYPERTENS, V18, P139 45089 NR 32 45090 TC 0 45091 PU KARGER 45092 PI BASEL 45093 PA ALLSCHWILERSTRASSE 10, CH-4009 BASEL, SWITZERLAND 45094 SN 1420-4096 45095 J9 KIDNEY BLOOD PRESSURE RES 45096 JI Kidney Blood Pressure Res. 45097 PY 2007 45098 VL 30 45099 IS 4 45100 BP 240 45101 EP 247 45102 PG 8 45103 SC Physiology; Urology & Nephrology; Peripheral Vascular Disease 45104 GA 187CV 45105 UT ISI:000247825800006 45106 ER 45107 45108 PT J 45109 AU Telesco, RL 45110 Van Manen, FT 45111 Clark, JD 45112 Cartwright, ME 45113 AF Telesco, Rebecca L. 45114 Van Manen, Frank T. 45115 Clark, Joseph D. 45116 Cartwright, Michael E. 45117 TI Identifying sites for elk restoration in Arkansas 45118 SO JOURNAL OF WILDLIFE MANAGEMENT 45119 LA English 45120 DT Article 45121 DE Arkansas; Cervus elaphus; conflict; elk; habitat models; Mahalanobis 45122 distance; wildlife restoration 45123 ID MENINGEAL WORM; PELLET-GROUP; HABITAT SELECTION; SCALE; POPULATION; 45124 KENTUCKY; MODELS 45125 AB We used spatial data to identify potential areas for elk (Cervus 45126 elaphus) restoration in Arkansas. To assess habitat, we used locations 45127 of 239 elk groups collected from helicopter surveys in the Buffalo 45128 National River area of northwestern Arkansas, USA, from 1992 to 2002. 45129 We calculated the Mahalanobis distance (D) statistic based on the 45130 relationship between those elk-group locations and a suite of 9 45131 landscape variables to evaluate winter habitat in Arkansas. We tested 45132 model performance in the Buffalo National River area by comparing the 45133 D-2 values of pixels representing areas with and without elk pellets 45134 along 19 fixed-width transects surveyed in March 2002. Pixels with elk 45135 scat had lower D-2 values than pixels in which we found no pellets 45136 (logistic regression: Wald chi(2) = 24.37, P < 0.001), indicating that 45137 habitat characteristics were similar to those selected by the aerially 45138 surveyed elk. Our D-2 model indicated that the best elk habitat 45139 primarily occurred in northern and western Arkansas and was associated 45140 with areas of high landscape heterogeneity, heavy forest cover, gently 45141 sloping ridge tops and valleys, low human population density, and low 45142 road densities. To assess the potential for elk-human conflicts in 45143 Arkansas, we used the analytical hierarchy process to rank the 45144 importance of 8 criteria based on expert opinion from biologists 45145 involved in elk management. The biologists ranked availability of 45146 forage on public lands as having the strongest influence on the 45147 potential for elk-human conflict (33%), followed by human population 45148 growth rate (22%) and the amount of private land in row crops (18%). We 45149 then applied those rankings in a weighted linear summation to map the 45150 relative potential for elk-human conflict. Finally, we used 45151 white-tailed deer (Odocoileus virginianus) densities to identify areas 45152 where success of elk restoration may be hampered due to meningeal worm 45153 (Parelaphostrongylus tenuis) transmission. By combining results of the 45154 3 spatial data layers (i.e., habitat model, elk-human conflict model, 45155 deer density), our model indicated that restoration sites located in 45156 west-central and north-central Arkansas were most favorable for 45157 reintroduction. 45158 C1 Univ Tennessee, Dept Forestry Fisheries & Wildlife, So Appalachian Res Branch, US Geol Survey, Knoxville, TN 37996 USA. 45159 N Cent Reg Off, Calico Rock, AR 72519 USA. 45160 RP Telesco, RL, Univ Tennessee, Dept Forestry Fisheries & Wildlife, So 45161 Appalachian Res Branch, US Geol Survey, 274 Ellington Plant Sci, 45162 Knoxville, TN 37996 USA. 45163 EM vanmanen@utk.edu 45164 CR *LOW MISS VALL JOI, 2001, MISS ALL VALL CONS P 45165 *MI DEP CONS, 2000, MISS ELK REINTR FEAS 45166 *NAT AGR STAT SERV, 1997, 1997 CENS AGR, V1 45167 *QUAL DEER MAN ASS, 2005, WHIT TAIL DEER POP D 45168 *US CENS BUR, 1991, CENS POP HOUS 1990 S 45169 *US CENS BUR, 2001, CENS 2000 SUMM FIL 1 45170 ALLDREDGE JR, 1998, J AGRIC BIOL ENVIR S, V3, P237 45171 ANDERSON RC, 1972, J WILDLIFE DIS, V8, P304 45172 ANDERSON RC, 1981, TALL TIMBERS RES STN, V7, P266 45173 BATTIN J, 2006, CONDOR, V108, P59 45174 BENDER LC, 2005, J WILDLIFE DIS, V41, P134 45175 BUKENHOFER GA, 1994, P ARKANSAS ACAD SCI, V48, P243 45176 CARPENTER JW, 1973, J WILDLIFE DIS, V9, P148 45177 CARTWRIGHT ME, 1991, STATUS ARKANSAS ELK 45178 CARTWRIGHT ME, 1995, ARKANSAS WILDLIFE, V26, P2 45179 CARTWRIGHT ME, 1998, ELK MANAGEMENT PLAN 45180 CARTWRIGHT ME, 2004, ARKANSAS WILDLIFE, V35, P16 45181 CLARK JD, 1993, J WILDLIFE MANAGE, V57, P519 45182 CLUTTONBROCK TH, 1982, RED DEER BEHAV ECOLO 45183 COOK JG, 2002, N AM ELK ECOLOGY MAN, P259 45184 DIDIER KA, 1999, WILDLIFE SOC B, V27, P409 45185 EASTMAN JR, 1995, PHOTOGRAMM ENG REM S, V61, P539 45186 EDGE WD, 1989, J WILDLIFE MANAGE, V53, P621 45187 EIST V, 2002, N AM ELK ECOLOGY MAN, P389 45188 FARBER O, 2003, ECOL MODEL, V160, P115 45189 FOTI TL, 1974, ARKANSAS NATURAL ARE, P11 45190 GESCH D, 2002, PHOTOGRAMM ENG REM S, V68, P5 45191 GORHAM B, 2001, FINAL REPORT 1999 AR 45192 HALL LS, 1997, WILDLIFE SOC B, V25, P173 45193 HERNERTHOGMARTI.JH, 1999, THESIS U ARKANSAS MO 45194 HERNERTHOGMARTI.JH, 2001, J ARKANSAS ACAD SCI, V55, P51 45195 KNICK ST, 1998, J AGR BIOL ENVIR ST, V3, P311 45196 LARKIN JL, 2001, LARGE MAMMAL RESTORA, P101 45197 LARKIN JL, 2003, J WILDLIFE MANAGE, V67, P467 45198 LARKIN JL, 2004, RESTOR ECOL, V12, P97 45199 LARKINY JL, 2003, J WILDLIFE DIS, V39, P588 45200 LAWLER JJ, 2006, CONDOR, V108, P47 45201 LOFT ER, 1988, J WILDLIFE MANAGE, V52, P524 45202 LYON LJ, 2002, N AM ELK ECOLOGY MAN, P557 45203 MAEHR DS, 2001, LARGE MAMMAL RESTORA 45204 MCGARIGAL K, 1995, PNW351 US FOR SERV 45205 MORRISON ML, 2002, PREDICTING SPECIES O, P43 45206 MUSTAJOKI J, 1999, 5 INT S AN HIER PROC 45207 NEFF DJ, 1968, J WILDLIFE MANAGE, V32, P597 45208 ONEILL RV, 1996, LANDSCAPE ECOL, V11, P169 45209 PEREIRA JMC, 1991, PHOTOGRAMM ENG REM S, V57, P1475 45210 POWER M, 1993, ECOL MODEL, V68, P33 45211 RASKEVITZ RF, 1991, J WILDLIFE DIS, V27, P92 45212 RIITTERS KH, 1997, BIOL CONSERV, V81, P191 45213 ROLOFF GJ, 1998, P 1997 DEER ELK WORK, P158 45214 SAATY TL, 1980, ANAL HIERARCHY PROCE 45215 SCHMOLDT DL, 2001, ANAL HIERARCHY PROCE, P1 45216 SENFT RL, 1987, BIOSCIENCE, V37, P789 45217 SEVERINGHAUS CW, 1976, NEW YORK FISH GAME J, V23, P98 45218 SKOVLIN JM, 2002, N AM ELK ECOLOGY MAN, P531 45219 SMITH KG, 1998, ARKANSAS GAP ANAL PR 45220 STOMS DM, 1992, PHOTOGRAMM ENG REM S, V58, P843 45221 TELESCO RL, 2003, THESIS U TENNESSEE K 45222 THATCHER CA, 2006, J WILDLIFE MANAGE, V70, P752 45223 THORNE ET, 2002, N AM ELK ECOLOGY MAN, P351 45224 TURNER MG, 2001, LANDSCAPE ECOLOGY TH 45225 UNSWORTH JW, 1998, J WILDLIFE MANAGE, V62, P1255 45226 VANDEELEN TR, 1997, WILDLIFE SOC B, V25, P86 45227 VOGELMANN JE, 2001, PHOTOGRAMM ENG REM S, V67, P650 45228 WECKERLY FW, 2000, WILDLIFE SOC B, V28, P146 45229 WEMMER C, 1996, MEASURING MONITORING, P157 45230 WITMER G, 1990, J PENNSYLVANIA ACAD, V64, P131 45231 NR 67 45232 TC 0 45233 PU WILDLIFE SOC 45234 PI BETHESDA 45235 PA 5410 GROSVENOR LANE, BETHESDA, MD 20814-2197 USA 45236 SN 0022-541X 45237 J9 J WILDLIFE MANAGE 45238 JI J. Wildl. Manage. 45239 PD JUL 45240 PY 2007 45241 VL 71 45242 IS 5 45243 BP 1393 45244 EP 1403 45245 PG 11 45246 SC Ecology; Zoology 45247 GA 189ZP 45248 UT ISI:000248027800002 45249 ER 45250 45251 PT J 45252 AU Ross, RS 45253 Viazov, S 45254 Roggendorf, M 45255 AF Ross, R. S. 45256 Viazov, S. 45257 Roggendorf, M. 45258 TI Genotyping of hepatitis C virus isolates by a new line probe assay 45259 using sequence information from both the 5 ' untranslated and the core 45260 regions 45261 SO JOURNAL OF VIROLOGICAL METHODS 45262 LA English 45263 DT Article 45264 DE hepatitis C virus; genotyping; reverse hybridisation test; DNA 45265 immunoassay; phylogenetic analyses 45266 ID HEPATOCELLULAR-CARCINOMA; PHYLOGENETIC ANALYSIS; 5'-NONCODING REGION; 45267 NS5B REGION; INNO-LIPA; INFECTION; TRUGENE; VARIANTS; SUBTYPES; FRANCE 45268 AB The correct assessment of hepatitis C virus (HCV) genotypes and 45269 subtypes by commercial assays is of utmost importance mainly for the 45270 therapeutic management of patients suffering from HCV infections. In 45271 this study, the performance characteristics of a newly designed 45272 genotyping assay were evaluated that does not rely exclusively on 45273 sequence information derived from the 5'untranslated region but also 45274 takes into account part of the HCV core. One hundred and ten clinical 45275 specimens were tested by this new assay prior to its commercialisation. 45276 The obtained typing results were compared to those recorded by the 45277 5'UTR-based Versant HCV Genotyping Assay, version 1, the core-related 45278 Gen-Efi K DEIA, and phylogenetic analyses of partial HCV core and NS5B 45279 sequences. The HCV genotypes and subtypes identified by the newly 45280 devised kit were completely in line with the assignments achieved by 45281 DEIA and phylogenetic analyses. In particular, all 64 HCV strains 45282 belonging to subtypes la or lb were recognised correctly, and HCV 6e 45283 and 6f isolates were adequately assigned to subtypes 6c-1. Thus, the 45284 second generation of the Versant genotyping assay could overcome the 45285 drawbacks of its exclusively 5'UTR-based predecessor and will turn out 45286 to be a reliable toot for HCV typing in clinical laboratories. (C) 2007 45287 Elsevier B.V. All rights reserved. 45288 C1 Univ Duisburg Essen, Essen Univ Hosp, Natl Reference Ctr Hepatitis C, Inst Virol, Essen, Germany. 45289 RP Ross, RS, Univ Duisburg Essen, Essen Univ Hosp, Natl Reference Ctr 45290 Hepatitis C, Inst Virol, Essen, Germany. 45291 EM stefan.ross@uni-due.de 45292 CR 2002, HEPATOLOGY, V36, S3 45293 ALTER MJ, 2000, HEPATITIS C, P169 45294 ANSALDI F, 2001, J MED VIROL, V63, P17 45295 CANTALOUBE JF, 2006, J CLIN MICROBIOL, V44, P2051 45296 CHEN ZY, 2002, J CLIN MICROBIOL, V40, P3127 45297 CHINCHAI T, 2003, J VIROL METHODS, V109, P195 45298 CHOO QL, 1989, SCIENCE, V244, P359 45299 CHOO QL, 1991, P NATL ACAD SCI USA, V88, P2451 45300 DEFRANCESCO R, 2005, NATURE, V436, P953 45301 FELSENSTEIN J, 2006, PHYLIP PHYLOGENETIC 45302 GARNEIR L, 2002, CLIN VIROLOGY, P1153 45303 HALFON P, 2001, J CLIN MICROBIOL, V39, P1771 45304 HAUSHOFER AC, 2003, J CLIN VIROL, V27, P276 45305 HNATYSZYN HJ, 2005, ANTIVIR THER, V10, P1 45306 KWOK S, 1989, NATURE, V339, P237 45307 LAU JYN, 1996, ANN INTERN MED, V124, P868 45308 LAVANCHY D, 2000, HEPATITIS C, P185 45309 LOLE KS, 2003, J CLIN MICROBIOL, V41, P5240 45310 MULLER Z, 2003, J CLIN VIROL, V26, P295 45311 NAOUMOV NV, 1997, J HEPATOL, V27, P331 45312 NOLTE FS, 2001, MOL DIAGN, V6, P265 45313 NOLTE FS, 2003, J CLIN MICROBIOL, V41, P1558 45314 NOUSBAUM JB, 1995, ANN INTERN MED, V122, P161 45315 PODZORSKI RP, 2002, ARCH PATHOL LAB MED, V126, P285 45316 ROQUEAFONSO AM, 2002, J VIRAL HEPATITIS, V9, P385 45317 ROSS RS, 1999, FORENSIC SCI INT, V100, P69 45318 ROSS RS, 2000, J CLIN MICROBIOL, V38, P3581 45319 ROSS RS, 2000, J MED VIROL, V60, P122 45320 SANDRESSAUNE K, 2003, J VIROL METHODS, V109, P187 45321 SIMMONDS P, 1993, J GEN VIROL, V74, P2391 45322 SIMMONDS P, 2005, HEPATOLOGY, V42, P962 45323 SMITH DB, 1995, J GEN VIROL 7, V76, P1749 45324 STRIMMER K, 2003, PHYLOGENETIC HDB, P72 45325 STUYVER L, 1996, J CLIN MICROBIOL, V34, P2259 45326 TOKITA H, 1994, P NATL ACAD SCI USA, V91, P11022 45327 VIAZOV S, 1994, J VIROL METHODS, V48, P81 45328 VIAZOV S, 1997, J MED VIROL, V53, P36 45329 VIAZOV S, 2000, INFECTION, V28, P21 45330 WECK K, 2005, EXPERT REV MOL DIAGN, V5, P507 45331 ZEIN NN, 1996, AM J GASTROENTEROL, V91, P2560 45332 ZEKRI ARN, 2005, J MED VIROL, V75, P412 45333 ZHENG XT, 2003, J CLIN VIROL, V28, P214 45334 NR 42 45335 TC 0 45336 PU ELSEVIER SCIENCE BV 45337 PI AMSTERDAM 45338 PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 45339 SN 0166-0934 45340 J9 J VIROL METH 45341 JI J. Virol. Methods 45342 PD AUG 45343 PY 2007 45344 VL 143 45345 IS 2 45346 BP 153 45347 EP 160 45348 PG 8 45349 SC Biochemical Research Methods; Biotechnology & Applied Microbiology; 45350 Virology 45351 GA 191DK 45352 UT ISI:000248110000005 45353 ER 45354 45355 PT J 45356 AU Harbrecht, BG 45357 Ko, SH 45358 Watson, GA 45359 Forsythe, RM 45360 Rosengart, MR 45361 Peitzman, AB 45362 AF Harbrecht, Brian G. 45363 Ko, Sae Hee 45364 Watson, Gregory A. 45365 Forsythe, Raquel M. 45366 Rosengart, Matthew R. 45367 Peitzman, Andrew B. 45368 TI Angiography for blunt splenic trauma does not improve the success rate 45369 of nonapevative management 45370 SO JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE 45371 LA English 45372 DT Article 45373 DE spleen trauma; wounds and injuries; angiography; blunt force trauma 45374 ID NONOPERATIVE MANAGEMENT; ARTERY LIGATION; SELECTIVE EMBOLIZATION; 45375 NONSURGICAL MANAGEMENT; INJURED SPLEEN; BLOOD-FLOW; EXPERIENCE; 45376 SALVAGE; SPLENECTOMY; ARTERIOGRAPHY 45377 AB Background. Splenic artery arteriography with possible therapeutic 45378 embolization (SAE) has been postulated to improve the success rate of 45379 nonoperative management of blunt splenic injuries and increase splenic 45380 salvage. Previous reports, however, have compared SAE with historical 45381 controls. We compared nonoperative success with SAE with a 45382 contemporaneous group treated nonoperatively without SAE. 45383 Methods: Patients who suffered blunt splenic trauma from 2000 to 2004 45384 were identified. Demographic and outcome data were abstracted. Data on 45385 the performance of SAE, type of vessel embolized, and success or 45386 failure of nonoperative management were collected. Analysis of 45387 variance, chi(2), and regression analysis were used to evaluate the 45388 impact of SAE on outcome. 45389 Results. There were 570 patients who suffered blunt splenic trauma and 45390 221 (39%) were treated operatively. There were 349 patients who were 45391 treated non-operatively and 46 (13.2%) underwent SAE. SAE was more 45392 frequently used for patients with spleen Abbreviated Injury Score (AIS) 45393 >= 3 (31 %) than AIS = 2 (6.7%). For patients with spleen AIS >= 3,, 45394 there was no difference in age, gender, Injury Severity Score, or 45395 admission blood pressure between those who did or did not undergo SAE. 45396 The nonoperative success rate was similar for patients who did (79.3%) 45397 and those that did not (78.8%) undergo SAE. 45398 Conclusions: Patients who underwent splenic arteriography did not have 45399 improved nonoperative splenic salvage rates compared with a 45400 contemporaneous control group of similarly injured patients. Subsets of 45401 patients with blunt trauma may benefit from SAE but further study will 45402 be required to define these patients. 45403 C1 Univ Louisville, Dept Surg, Louisville, KY 40292 USA. 45404 Univ Pittsburgh, Med Ctr, Dept Surg, Pittsburgh, PA 15260 USA. 45405 RP Harbrecht, BG, Univ Louisville, Dept Surg, 550 S Jackson St, 45406 Louisville, KY 40292 USA. 45407 EM briang.harbrecht@louisville.edu 45408 CR BJERKE S, 2006, AM J SURG, V191, P413 45409 CHUANG VP, 1975, SURG GYNECOL OBSTET, V140, P715 45410 CLAYER MTR, 1989, AUST NZ J SURG, V59, P653 45411 CONTI S, 1980, AM J SURG, V140, P444 45412 COONEY R, 2005, J TRAUMA, V59, P926 45413 DAVIS KA, 1998, J TRAUMA, V44, P1008 45414 DENT D, 2004, J TRAUMA, V56, P1063 45415 EKEH AP, 2005, AM J SURG, V189, P335 45416 FEIGENBERG Z, 1985, ISRAEL J MED SCI, V21, P579 45417 HAAN J, 2001, J TRAUMA, V51, P1161 45418 HAAN JM, 2004, J TRAUMA, V56, P542 45419 HAAN JM, 2005, J TRAUMA, V58, P492 45420 HARBRECHT BG, 2004, J AM COLL SURGEONS, V198, P232 45421 HARBRECHT BG, 2005, AM SURGEON, V71, P942 45422 HARBRECHT BG, 2007, SURGERY, V141, P229 45423 HORTON J, 1982, ANN SURG, V195, P172 45424 KERAMIDAS DC, 1979, SURGERY, V85, P530 45425 KERAMIDAS DC, 1980, J PEDIATR SURG, V15, P38 45426 KERAMIDAS DC, 2003, SURGERY, V133, P583 45427 LIU PP, 2004, J TRAUMA, V56, P768 45428 PABST R, 1984, AM J SURG, V147, P382 45429 RESENDE V, 2003, AM J SURG, V185, P311 45430 RICHARDSON JD, 2005, J AM COLL SURGEONS, V200, P648 45431 SCHWALKE MA, 1991, J TRAUMA, V31, P385 45432 SCLAFANI SJA, 1981, RADIOLOGY, V141, P645 45433 SCLAFANI SJA, 1991, RADIOLOGY, V181, P189 45434 SCLAFANI SJA, 1995, J TRAUMA, V39, P818 45435 SHANMUGANATHAN K, 2000, RADIOLOGY, V217, P75 45436 SMITH HE, 2006, J TRAUMA, V61, P541 45437 VANWYCK DB, 1978, SURGERY, V84, P134 45438 VILLARREALRIOS A, 1974, AM J SURG, V127, P310 45439 WAHL WL, 2004, SURGERY, V136, P891 45440 WATSON GA, 2006, J TRAUMA, V61, P1113 45441 WITTE CL, 1976, SURG GYNECOL OBSTET, V142, P1 45442 NR 34 45443 TC 0 45444 PU LIPPINCOTT WILLIAMS & WILKINS 45445 PI PHILADELPHIA 45446 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 45447 SN 0022-5282 45448 J9 J TRAUMA 45449 JI J. Trauma-Injury Infect. Crit. Care 45450 PD JUL 45451 PY 2007 45452 VL 63 45453 IS 1 45454 BP 44 45455 EP 49 45456 PG 6 45457 SC Critical Care Medicine; Surgery 45458 GA 190MI 45459 UT ISI:000248062600009 45460 ER 45461 45462 PT J 45463 AU Seamon, MJ 45464 Fisher, CA 45465 Gaughan, J 45466 Lloyd, M 45467 Bradley, KM 45468 Santora, TA 45469 Pathak, AS 45470 Goldberg, AJ 45471 AF Seamon, Mark J. 45472 Fisher, Carol A. 45473 Gaughan, John 45474 Lloyd, Michael 45475 Bradley, Kevin M. 45476 Santora, Thomas A. 45477 Pathak, Abhijit S. 45478 Goldberg, Amy J. 45479 TI Prehospital procedures before emergency department thoracotomy: "Scoop 45480 and run" saves lives 45481 SO JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE 45482 LA English 45483 DT Article 45484 ID ADVANCED LIFE-SUPPORT; ENDOTRACHEAL INTUBATION; INJURED PATIENTS; 45485 HYPOTENSIVE PATIENTS; FLUID RESUSCITATION; PROMPT TRANSPORT; 45486 CARDIAC-ARREST; TRAUMA; SURVIVAL; TIME 45487 AB Background. The role of prehospital healthcare personnel in the 45488 management of acutely injured patients is rapidly evolving. However, 45489 the performance of prehospital procedures on unstable, penetrating 45490 trauma patients remains controversial. The objective of this study is 45491 to test the hypothesis that survival of most critically injured 45492 penetrating trauma patients requiring emergency department thoracotomy 45493 (EDT) would be improved if procedures were restricted until arrival to 45494 the trauma bay. 45495 Methods. A retrospective chart review on 180 consecutive penetrating 45496 trauma patients (2000-2005) who underwent EDT was performed. Patients 45497 were divided into two groups by mode of transportation and compared on 45498 the basis of demographics, clinical and physiologic parameters, 45499 prehospital procedures, and survival. 45500 Results. Eighty-eight patients arrived by emergency medical services 45501 (EMS), and 92 were brought by police or private vehicle. Groups were 45502 similar with respect to demographics. Seven of 88 (8.0%) 45503 EMS-transported patients survived until hospital discharge, and 16 of 45504 92 (17.4%) survived after police or private transportation. Overall, 45505 137 prehospital procedures were performed in 78 of 88 (88.6%) 45506 EMS-transported patients, but no police- or private-transported patient 45507 underwent field procedures. Multivariate logistic regression analyses 45508 identified prehospital procedures as the sole independent predictor of 45509 mortality. For each procedure, patients were 2.63 times more likely to 45510 die before hospital discharge (OR = 0.38, 95 % CI = 0.18-0.79, p = 45511 0.0096). 45512 Conclusions: The performance of prehospital procedures in critical, 45513 penetrating trauma victims had a negative impact on survival after EDT 45514 in our study population. Paramedics should adhere to a minimal or 45515 "scoop and run" approach to prehospital transportation in this setting. 45516 C1 Temple Univ, Sch Med, Dept Surg, Philadelphia, PA 19122 USA. 45517 Temple Univ, Sch Med, Dept Physiol & Biostat, Philadelphia, PA 19122 USA. 45518 RP Seamon, MJ, Temple Univ Hosp & Med Sch, Dept Surg, 3401 N Broad St, 45519 Philadelphia, PA 19104 USA. 45520 EM mjssox@yahoo.com 45521 CR APRAHAMIAN C, 1985, ANN EMERG MED, V14, P583 45522 ASENSIO JA, 2001, J AM COLL SURGEONS, V193, P303 45523 BICKELL WH, 1994, NEW ENGL J MED, V331, P1105 45524 BRANAS CC, 1995, ACAD EMERG MED, V2, P486 45525 CAYTEN CG, 1993, J TRAUMA, V35, P460 45526 CLEVENGER FW, 1988, J TRAUMA, V28, P441 45527 COPASS MK, 1984, AM J SURG, V148, P20 45528 DURHAM LA, 1992, J TRAUMA, V32, P775 45529 GERVIN AS, 1982, J TRAUMA, V22, P443 45530 HEDGES JR, 1988, AM J EMERG MED, V6, P443 45531 HONIGMAN B, 1990, ANN EMERG MED, V19, P145 45532 IVATURY RR, 1987, J TRAUMA, V27, P1066 45533 JACOBS LM, 1983, JAMA-J AM MED ASSOC, V250, P2175 45534 JACOBS LM, 1984, J TRAUMA, V24, P8 45535 KAWESKI SM, 1990, J TRAUMA, V30, P1215 45536 KRALOVICH KA, 1997, J TRAUMA, V42, P1023 45537 LUNA GK, 1989, J TRAUMA, V29, P1430 45538 MARTIN RR, 1992, J TRAUMA, V33, P354 45539 MATTOX KL, 1982, J TRAUMA, V22, P934 45540 MCSWAIN GR, 1980, ANN EMERG MED, V9, P341 45541 POTTER D, 1988, ANN EMERG MED, V17, P582 45542 SAMPALIS JS, 1993, J TRAUMA, V34, P252 45543 SMITH JP, 1985, J TRAUMA, V25, P65 45544 SMITH JP, 1985, JAMA-J AM MED ASSOC, V253, P544 45545 SPAITE DW, 1991, ANN EMERG MED, V20, P1299 45546 STEWART RD, 1984, CHEST, V85, P341 45547 STRATTON SJ, 1998, J TRAUMA, V45, P96 45548 WINCHELL RJ, 1997, ARCH SURG-CHICAGO, V132, P592 45549 NR 28 45550 TC 0 45551 PU LIPPINCOTT WILLIAMS & WILKINS 45552 PI PHILADELPHIA 45553 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 45554 SN 0022-5282 45555 J9 J TRAUMA 45556 JI J. Trauma-Injury Infect. Crit. Care 45557 PD JUL 45558 PY 2007 45559 VL 63 45560 IS 1 45561 BP 113 45562 EP 120 45563 PG 8 45564 SC Critical Care Medicine; Surgery 45565 GA 190MI 45566 UT ISI:000248062600020 45567 ER 45568 45569 PT J 45570 AU Pouplard, C 45571 Gueret, P 45572 Fouassier, M 45573 Ternisien, C 45574 Trossaert, M 45575 Regina, S 45576 Gruel, Y 45577 AF Pouplard, C. 45578 Gueret, P. 45579 Fouassier, M. 45580 Ternisien, C. 45581 Trossaert, M. 45582 Regina, S. 45583 Gruel, Y. 45584 TI Prospective evaluation of the '4Ts' score and particle gel immunoassay 45585 specific to heparin/PF4 for the diagnosis of heparin-induced 45586 thrombocytopenia 45587 SO JOURNAL OF THROMBOSIS AND HAEMOSTASIS 45588 LA English 45589 DT Article 45590 DE 4Ts score; heparin; particle gel immunoassay; thrombocytopenia 45591 ID MOLECULAR-WEIGHT HEPARIN; PLATELET-AGGREGATION TEST; INDUCED 45592 ANTIBODIES; UNFRACTIONATED HEPARIN; DEPENDENT ANTIBODIES; 45593 CLINICAL-FEATURES; LIKELIHOOD RATIOS; THROMBOSIS; MANAGEMENT; SURGERY 45594 AB Background: Heparin-induced thrombocytopenia (HIT) is a severe disease 45595 that is often difficult to diagnose. A clinical scoring system, the 45596 '4Ts' score, has been proposed to estimate its probability before 45597 laboratory testing, and a particle gel immunoassay (H/PF4 PaGIA((R))) 45598 has also been developed for rapid detection of HIT antibodies. Aim: To 45599 evaluate the performance of both methods when HIT is suspected 45600 clinically. Methods: Two hundred thirteen consecutive patients were 45601 included in four centers. The probability of HIT was evaluated using 45602 the 4Ts score blind to antibody test results. HIT was confirmed only 45603 when the serotonin release assay (SRA) was positive. Results: The risk 45604 of HIT was evaluated by the 4Ts score as low (LowR), intermediate (IR) 45605 or high (HR) in 34.7%, 60.6% and 4.7% of patients, respectively. The 45606 negative predictive value (NPV) of the 4Ts score was 100%, as the SRA 45607 was negative in all LowR patients. PaGIA((R)) was negative in 176 45608 patients without HIT (99.4%, NPV) and the negative likelihood ratio 45609 (LR-) was 0.05. PaGIA((R)) was positive in 37 patients, including 21 45610 with HIT (positive predictive value = 56.8%), with a positive LR of 45611 11.4. A negative PaGIA((R)) result decreased the probability of HIT in 45612 IR patients from 10.9% before assay to 0.6%, whereas a positive result 45613 did not substantially increase the likelihood for HIT. Conclusion: The 45614 use of the 4Ts score with PaGIA((R)) appears to be a reliable strategy 45615 to rule out HIT. 45616 C1 Hop Trousseau, Serv Hematol Hemostase, F-37044 Tours, France. 45617 CHRU, Dept Hematol, Tours, France. 45618 CHRU, Dept Hematol, Rennes, France. 45619 CHRU, Dept Hematol, Nantes, France. 45620 CHRU, Dept Hematol, Angers, France. 45621 INSERM U618, Tours, France. 45622 RP Gruel, Y, Hop Trousseau, Serv Hematol Hemostase, F-37044 Tours, France. 45623 EM gruel@med.univ-tours.fr 45624 CR ALBERIO L, 2003, AM J MED, V114, P528 45625 ALBERIO L, 2005, J THROMB HAEMOST, V3, P1549 45626 CHONG BH, 1993, THROMB HAEMOSTASIS, V69, P344 45627 CHONG BH, 2003, J THROMB HAEMOST, V1, P1471 45628 DEEKS JJ, 2004, BRIT MED J, V329, P168 45629 EICHLER P, 1999, THROMB HAEMOSTASIS, V81, P625 45630 EICHLER P, 2002, BRIT J HAEMATOL, V116, P887 45631 FAGAN TJ, 1975, NEW ENGL J MED, V293, P257 45632 GREINACHER A, 2005, THROMB HAEMOSTASIS, V94, P132 45633 GRIMES DA, 2005, LANCET, V365, P1500 45634 GRUEL Y, 2003, BRIT J HAEMATOL, V121, P786 45635 JUHL D, 2006, EUR J HAEMATOL, V76, P420 45636 KEELING D, 2006, BRIT J HAEMATOL, V133, P259 45637 LINDHOFFLAST E, 2000, THROMB RES, V97, P387 45638 LO GK, 2006, J THROMB HAEMOST, V4, P759 45639 LUBENOW N, 2001, AM J CARDIOVASC DRUG, V1, P429 45640 MARTEL N, 2005, BLOOD, V106, P2710 45641 POUPLARD C, 1997, BRIT J HAEMATOL, V99, P273 45642 POUPLARD C, 1999, AM J CLIN PATHOL, V111, P700 45643 POUPLARD C, 1999, CIRCULATION, V99, P2530 45644 POUPLARD C, 2005, BRIT J HAEMATOL, V128, P837 45645 SACKETT DL, 2000, EVIDENCE BASED MED P, P67 45646 SHERIDAN D, 1986, BLOOD, V67, P27 45647 TARDY B, 2006, BLOOD, V108, P1492 45648 WARKENTIN TE, 1995, NEW ENGL J MED, V332, P1330 45649 WARKENTIN TE, 2000, J THROMB THROMBOLYS, V10, P35 45650 WARKENTIN TE, 2003, BRIT J HAEMATOL, V121, P535 45651 WARKENTIN TE, 2003, CURR HEMATOL REP, V2, P148 45652 WARKENTIN TE, 2005, CHEST S, V127, S35 45653 WARKENTIN TE, 2005, J LAB CLIN MED, V146, P341 45654 ZWICKER JI, 2004, J THROMB HAEMOST, V2, P2133 45655 NR 31 45656 TC 1 45657 PU BLACKWELL PUBLISHING 45658 PI OXFORD 45659 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 45660 SN 1538-7933 45661 J9 J THROMB HAEMOST 45662 JI J. Thromb. Haemost. 45663 PD JUL 45664 PY 2007 45665 VL 5 45666 IS 7 45667 BP 1373 45668 EP 1379 45669 PG 7 45670 SC Hematology; Peripheral Vascular Disease 45671 GA 189HM 45672 UT ISI:000247980000006 45673 ER 45674 45675 PT J 45676 AU Maynard, A 45677 Ayalew, Y 45678 AF Maynard, Alan 45679 Ayalew, Yezenash 45680 TI Performance management and the Royal Colleges of medicine and surgery 45681 SO JOURNAL OF THE ROYAL SOCIETY OF MEDICINE 45682 LA English 45683 DT Article 45684 C1 Univ York, Dept Hlth Sci, York YO10 5DD, N Yorkshire, England. 45685 Univ York, Hull York Med Sch, York YO10 5DD, N Yorkshire, England. 45686 RP Maynard, A, Univ York, Dept Hlth Sci, York YO10 5DD, N Yorkshire, 45687 England. 45688 EM akm3@york.ac.uk 45689 CR 1954, HISTORIES, P132 45690 *ROYAL COLL PHYS, 2006, ENG CLIN IMPR DAT QU 45691 *ROYAL COLL SURG, 2006, DEL HIGH QUAL SURG S 45692 APPLEBY J, 2004, MEASURING SUCCESS NH 45693 CHALMERS I, 2003, ANN AM ACAD POLIT SS, V589, P22 45694 KIND P, 2004, HLTH POLICY MATTERS, P9 45695 WOOTTON D, 2006, BAD MED DOCTORS DOIN 45696 NR 7 45697 TC 0 45698 PU ROYAL SOC MEDICINE PRESS LTD 45699 PI LONDON 45700 PA 1 WIMPOLE STREET, LONDON W1G 0AE, ENGLAND 45701 SN 0141-0768 45702 J9 J ROY SOC MED 45703 JI J. R. Soc. Med. 45704 PD JUL 45705 PY 2007 45706 VL 100 45707 IS 7 45708 BP 306 45709 EP 308 45710 PG 3 45711 SC Medicine, General & Internal 45712 GA 189PZ 45713 UT ISI:000248002300010 45714 ER 45715 45716 PT J 45717 AU Cegarra-Navarro, JG 45718 AF Cegarra-Navarro, Juan Gabriel 45719 TI Linking exploration with exploitation through relationship memory 45720 SO JOURNAL OF SMALL BUSINESS MANAGEMENT 45721 LA English 45722 DT Article 45723 ID ORGANIZATIONAL MEMORY; MARKET ORIENTATION; SERVICE QUALITY; DYNAMIC 45724 THEORY; KNOWLEDGE; FRAMEWORK; PERFORMANCE; MODEL; TRUST; MANAGEMENT/ 45725 AB Companies that are able to help clients make better decisions and 45726 enhance their business capabilities to flourish. However, there is 45727 often poor rapport between operating personnel who are in touch with 45728 end customers and executive personnel who make decisions. Through 45729 exploration and exploitation processes, new ideas and actions flow from 45730 the individual (i.e., operating personnel) to the organization (i.e., 45731 the rest of individuals and groups that form pail of the organization). 45732 This paper examines the relative importance and significance of "the 45733 relationship memory" as a bridge between "exploration" and 45734 "exploitation" processes and its effects on the creation of "customer 45735 capital" through an empirical investigation of 139 small to 45736 medium-sized enterprises in the Spanish optometry sector using 45737 structural equation modeling validated by factor analysis. 45738 C1 Univ Politecn Cartagena, Fac Ciencias Empresa, Murcia 30203, Spain. 45739 RP Cegarra-Navarro, JG, Univ Politecn Cartagena, Fac Ciencias Empresa, 45740 Paseo Alfonso 13,50, Murcia 30203, Spain. 45741 EM juan.cegarra@upct.es 45742 CR *COM, 1996, 19960710 COM 45743 ANDERSON JC, 1987, MIS Q, V25, P107 45744 ARGYRIS C, 1978, ORG LEARNING THEORY 45745 BABAKUS E, 1992, HEALTH SERV RES, V26, P767 45746 BADARACCO J, 1991, KNOWLEDGE LINK FIRMS 45747 BAGOZZI RP, 1988, J ACADEMY MARKETING, V16, P74 45748 BAKER J, 2002, J MARKETING, V66, P77 45749 BENTLER PM, 1980, PSYCHOL BULL, V88, P588 45750 BENTLER PM, 1990, PSYCHOL BULL, V107, P238 45751 BOYCE ME, 1996, J ORGAN CHANGE MANAG, V9, P5 45752 BROOKING A, 1996, INTELLECTUAL CAPITAL 45753 BROWN SA, 2000, CUSTOMER RELATIONSHI 45754 BUENO E, 1998, MED CAPITAL INTELECT 45755 CANNON JP, 1999, J MARKETING RES, V36, P439 45756 CARMINES EG, 1981, SOCIAL MEASUREMENT C, P65 45757 CEGARRA J, 2005, J STRATEGIC MARKETIN, V16, P3 45758 CEGARRANAVARRO JG, 2003, J UNIVERS COMPUT SCI, V9, P1469 45759 CHURCHILL GA, 1979, J MARKETING RES, V16, P64 45760 COHEN DM, 1991, ORGAN SCI, V2, P134 45761 COHEN WM, 1990, ADMIN SCI QUART, V35, P128 45762 CRONBACH LJ, 1951, PSYCHOMETRIKA, V16, P297 45763 CROSSAN MM, 1999, ACAD MANAGE REV, V24, P522 45764 DAFT RL, 1984, ACAD MANAGE REV, V9, P2 45765 DAVENPORT T, 2001, J MANAGEMENT INFORMA, V18, P5 45766 DAVID MM, 1999, WEB TECHNIQUES, V4, P67 45767 DAWSON R, 2000, DEV KNOWLEDGE BASED 45768 DAY GS, 2000, J ACAD MARKET SCI, V28, P24 45769 DEWHURST FW, 2004, LEARNING ORG, V11, P322 45770 EDSTROM A, 1988, LEADERSHIP CORPORATE 45771 EDVINSSON L, 1997, INTELLECTUAL CAPITAL 45772 FAHEY L, 2001, IBM SYST J, V40, P889 45773 FEIGENBAUM AV, 1983, TOTAL QUALITY CONTRO 45774 FIOL CM, 1985, ACAD MANAGE REV, V10, P803 45775 FORNELL C, 1981, J MARKETING RES, V18, P39 45776 FULK J, 1993, ACAD MANAGE J, V36, P921 45777 GERBING DW, 1988, J MARKETING RES, V25, P186 45778 GRONROOS C, 1984, EUR J MARKETING, V18, P36 45779 GULATI R, 1995, ACAD MANAGE J, V38, P85 45780 HAIR JR, 1999, ANAL MULTIVARIANTE 45781 HAMEL G, 1991, STRATEGIC MANAGE J, V12, P83 45782 HAMEL G, 1994, COMPETING FUTURE 45783 HUBER GP, 1991, ORGAN SCI, V2, P88 45784 HULT GTM, 2000, DECISION SCI, V31, P293 45785 JAWORSKI B, 2000, J ACAD MARKET SCI, V28, P45 45786 JORESKOG KG, 1978, PSYCHOMETRIKA, V43, P443 45787 JURAN J, 1996, JURAN CALIDAD DISENO 45788 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 45789 KAPLAN RS, 2000, COMO UTILIZAR CUADRO 45790 KIM DH, 1993, SLOAN MANAGE REV, V35, P37 45791 KOHLI AK, 1990, J MARKETING, V54, P1 45792 KOHLI AK, 1993, J MARKETING RES, V30, P467 45793 KOTLER P, 2000, MARKETING MANAGEMENT 45794 LEHMANN DR, 1999, MARKETING RES 45795 LIOEBOWITZ J, 2000, BUILDING ORG INTELLI 45796 LUKAS BA, 1996, J BUS RES, V36, P233 45797 MAKHIJA MV, 1997, ORGAN SCI, V8, P508 45798 MARCH JG, 1991, ORGAN SCI, V2, P71 45799 MARCOULIDES GA, 1993, ORGAN SCI, V4, P209 45800 MEGILL KA, 1997, CORPORATE MEMORY INF 45801 MENTZER JT, 2001, J MARKETING, V65, P82 45802 MOORMAN C, 1992, J MARKETING RES, V29, P314 45803 MOORMAN C, 1997, J MARKETING RES, V34, P91 45804 MORGAN RM, 1994, J MARKETING, V58, P20 45805 MOWERY DC, 1983, POLICY SCI, V16, P27 45806 NONAKA I, 1994, ORGAN SCI, V5, P14 45807 NONAKA I, 1995, KNOWLEDGE CREATING C 45808 NOOTEBOOM B, 1999, DYNAMIC EFFICIENCY N 45809 OSLAND G, 1995, EUR J MARKETING, V29, P52 45810 POLANYI M, 1966, TACIT DIMENSION 45811 REICHHELD FF, 2000, HARVARD BUS REV, V78, P105 45812 REINHARD M, 2000, WISSENS TECHNOLOGIET, P243 45813 RUEKERT RW, 1987, J MARKETING, V51, P1 45814 RUEKERT RW, 1992, INT J RES MARK, V9, P225 45815 SCHWANDT D, 2000, ORG LEARNING WORLD C 45816 SEKARAN U, 1992, RES METHODS BUSINESS 45817 SELNES F, 2003, J MARKETING, V67, P80 45818 SENGE PM, 1990, SLOAN MANAGE REV, V7, P7 45819 SINKULA JM, 1994, J MARKETING, V58, P35 45820 SPENDER JC, 1996, STRATEGIC MANAGE J, V17, P45 45821 STEENKAMP JB, 1991, INT J RES MARK, V8, P283 45822 STEIN MM, 2003, J ORG EXCELLENCE, V22, P23 45823 STONGE H, 1996, STRATEGY LEADERSHIP, V24, P10 45824 SUNDSTROM E, 1990, AM PSYCHOL, V45, P120 45825 VOLBERDA HW, 2003, J MANAGE STUD, V40, P2105 45826 WAH L, 2000, KNOWLEDGE MANAGEMENT, P307 45827 WALSH JP, 1991, ACAD MANAGE REV, V16, P57 45828 WINER RS, 2001, CALIF MANAGE REV, V43, P89 45829 WOOLCOCK M, 1998, THEOR SOC, V27, P151 45830 NR 88 45831 TC 0 45832 PU BLACKWELL PUBLISHING 45833 PI OXFORD 45834 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND 45835 SN 0047-2778 45836 J9 J SMALL BUS MANAGEMENT 45837 JI J. Small Bus. Manag. 45838 PD JUL 45839 PY 2007 45840 VL 45 45841 IS 3 45842 BP 333 45843 EP 353 45844 PG 21 45845 SC Management 45846 GA 188TR 45847 UT ISI:000247942700004 45848 ER 45849 45850 PT J 45851 AU Miatton, M 45852 De Wolf, D 45853 Francois, K 45854 Thiery, E 45855 Vingerhoets, G 45856 AF Miatton, Marijke 45857 De Wolf, Daniel 45858 Francois, Katrien 45859 Thiery, Evert 45860 Vingerhoets, Guy 45861 TI Neuropsychological performance in school-aged children with surgically 45862 corrected congenital heart disease 45863 SO JOURNAL OF PEDIATRICS 45864 LA English 45865 DT Article 45866 ID ARTERIAL SWITCH OPERATION; CIRCULATORY ARREST; CARDIAC-SURGERY; 45867 GREAT-ARTERIES; SEPTAL-DEFECT; BRAIN-INJURY; INFANCY; TRANSPOSITION; 45868 DYSFUNCTION; TETRALOGY 45869 AB Objective As surgical management of children with congenital heart 45870 disease (CHD) advanced, developmental outcome became the main focus of 45871 contemporary research. In this study, we specify the cognitive profile 45872 of children with CHD, 6 to 12 years postoperatively. 45873 Study design Patients with CHD (n = 43, mean age 8 years, 8 months) and 45874 healthy controls (n = 43, mean age 8 years, 11 months). were examined 45875 with an abbreviated intelligence scale (Weehsler Intelligence Scale for 45876 Children-3rd edition. Dutch version) and a developmental 45877 neuropsychological assessment battery (NEPSY [a developmental 45878 NEuroPSYchological assessment]). 45879 Results We identified significantly lower scores for the CHD group on 45880 Estimated Full Scale IQ (P < .01). Neuropsychological assessment 45881 revealed lowers,. ores for the CHD group on the cognitive domains of 45882 Sensorimotor Functioning (P < .001), Language (P < .001). Attent-on and 45883 Executive Functioning (P < .05), and Memory (P < .05). Children with 45884 CHD displayed more impulsive test behavior than healthy peers. No 45885 differences on IQ or cognitive domains were found between the cyanotic 45886 and tire acyanotic CHD group. 45887 Conclusions Six to 12 years postoperatively, children with CHD display 45888 a neuropsychological profile with mainly mild motor deficits and subtle 45889 difficulties with language tasks. Attention/executive functioning and 45890 memory also appear involved but to a lesser degree. Long-term follow-up 45891 of children with surgically corrected CHD, even when hemodynamically 45892 successful, is warranted. as they are at risk for neurodevelopmental 45893 delay at school age. 45894 C1 Univ Ghent, Neuropsychol Lab, Dept Internal Med, B-9000 Ghent, Belgium. 45895 Univ Ghent, Reference Ctr Refactory Epilepsy, B-9000 Ghent, Belgium. 45896 Univ Ghent, Pediat Cardiac Surg, Dept Surg, B-9000 Ghent, Belgium. 45897 Univ Ghent, Dept Pediat, B-9000 Ghent, Belgium. 45898 RP Miatton, M, Univ Ghent, Neuropsychol Lab, Dept Internal Med, De 45899 Pintelaan 185,4 K 3, B-9000 Ghent, Belgium. 45900 EM marijke.miatton@ugent.be 45901 CR *WORLD MED ASS, 1997, JAMA-J AM MED ASSOC, V277, P925 45902 ARIZA M, 2004, ARCH NEUROL-CHICAGO, V61, P541 45903 BELLINGER DC, 1997, J DEV BEHAV PEDIATR, V18, P75 45904 BELLINGER DC, 1999, CIRCULATION, V100, P526 45905 BELLINGER DC, 2003, J THORAC CARDIOV SUR, V126, P1385 45906 DALIENTO L, 2005, HEART, V91, P213 45907 DICKINSON DF, 1979, ARCH DIS CHILD, V54, P1 45908 FAN LW, 2005, BEHAV BRAIN RES, V165, P80 45909 GALLI KK, 2004, J THORAC CARDIOV SUR, V127, P692 45910 GREGOIRE J, 2000, EUR REV APPL PSYCHOL, V50, P437 45911 HANEDA K, 1996, CARDIOVASC SURG, V4, P303 45912 HOFFMAN JIE, 1995, PEDIATR CARDIOL, V16, P103 45913 HOLLINGSHEAD AB, 1975, 4 FACTOR INDEX SOCIA 45914 HOVELSGURICH HH, 1997, J THORAC CARDIOV SUR, V114, P578 45915 HOVELSGURICH HH, 2001, ANN THORAC SURG, V71, P881 45916 HOVELSGURICH HH, 2002, J THORAC CARDIOV SUR, V124, P448 45917 HOVELSGURICH HH, 2006, ANN THORAC SURG, V81, P958 45918 KORKMAN M, 1998, DEV NEUROPSYCHOLOGIC 45919 LIMPEROPOULOS C, 2002, J PEDIATR, V141, P51 45920 MIATTON M, 2006, NEUROPSYCHOL REV, V16, P65 45921 OATES RK, 1995, ARCH DIS CHILD, V72, P298 45922 SATTLER J, 1992, ASSESSMENT CHILDREN 45923 VISCONTI KJ, 1999, CIRCULATION S, V100, P145 45924 WRAY J, 1999, ARCH DIS CHILD, V80, P511 45925 WRAY J, 2001, HEART, V85, P687 45926 WRIGHT M, 1994, ARCH DIS CHILD, V71, P64 45927 NR 26 45928 TC 0 45929 PU MOSBY-ELSEVIER 45930 PI NEW YORK 45931 PA 360 PARK AVENUE SOUTH, NEW YORK, NY 10010-1710 USA 45932 SN 0022-3476 45933 J9 J PEDIAT 45934 JI J. Pediatr. 45935 PD JUL 45936 PY 2007 45937 VL 151 45938 IS 1 45939 BP 73 45940 EP 78 45941 PG 6 45942 SC Pediatrics 45943 GA 187MM 45944 UT ISI:000247851900017 45945 ER 45946 45947 PT J 45948 AU Rossmanith, E 45949 Hontsch, K 45950 Blaum, N 45951 Jeltsch, F 45952 AF Rossmanith, Eva 45953 Hoentsch, Kerstin 45954 Blaum, Niels 45955 Jeltsch, Florian 45956 TI Reproductive success and nestling diet in the Lesser Spotted Woodpecker 45957 (Picoides minor): the early bird gets the caterpillar 45958 SO JOURNAL OF ORNITHOLOGY 45959 LA English 45960 DT Article 45961 DE clutch size; nestling diet; Picoides minor; reproductive success; 45962 timing of breeding 45963 ID TITS PARUS-MAJOR; GREAT TITS; POSTFLEDGING SURVIVAL; FORAGING 45964 PERFORMANCE; BREEDING PERFORMANCE; SEASONAL-VARIATION; FOOD 45965 AVAILABILITY; POPULATION; DATE; TIME 45966 AB Populations of Lesser Spotted Woodpecker (Picoides minor) are 45967 decreasing in size, necessitating management strategies. However, data 45968 on the reproductive biology of this species are scarce. The aim of this 45969 study was to investigate the influence of timing of breeding and 45970 nestling diet on the reproductive success of the Lesser Spotted 45971 Woodpecker and thereby contribute to an understanding of the 45972 determinants influencing its reproductive success. During 6 study years 45973 between 1996-2003, we investigated various variables of reproductive 45974 success in a Lesser Spotted Woodpecker population in the Taunus low 45975 mountain range, Germany. We observed nestling feeding at breeding holes 45976 to assess the composition of nestling diet and how it changes during 45977 the season. Clutch size, number of fledglings as well as body mass of 45978 the nestlings declined with the start of egg laying. Pairs composed of 45979 individuals that had breed together in previous years started egg 45980 laying earlier than newly established pairs. Nestling diet consisted 45981 mainly of aphids, caterpillars, craneflies and wood-living larvae. The 45982 composition changed considerably within the breeding season in both 45983 early and late broods. However, early broods were provided with 45984 caterpillars more frequently, whereas late broods received 45985 wood-dwelling larvae more often. Our results suggest that Lesser 45986 Spotted Woodpeckers time their breeding so as to coincide with the 45987 early nestling stage with the highest availability of caterpillars, 45988 since this is the time of highest energy demand. Moreover, food 45989 availability declines during the breeding season, and the decline in 45990 reproductive performance seems to be an effect of this development. 45991 C1 Univ Potsdam, Inst Biol & Biochem, D-14469 Potsdam, Germany. 45992 Naturstiftung David, D-99084 Erfurt, Germany. 45993 RP Rossmanith, E, Univ Potsdam, Inst Biol & Biochem, Maulbeerallee 3, 45994 D-14469 Potsdam, Germany. 45995 EM rossmani@uni-potsdam.de 45996 CR ARNOLD JM, 2004, J AVIAN BIOL, V35, P33 45997 BERGMANN F, 1999, J ORNITHOL, V140, P81 45998 BOTH C, 2006, NATURE, V441, P81 45999 BRINKHOF MWG, 1997, ARDEA, V85, P51 46000 CRAMP S, 1985, HDB BIRDS EUROPE MID 46001 DIAS PC, 1996, IBIS, V138, P644 46002 ENS BJ, 1992, J ANIM ECOL, V61, P703 46003 ENS BJ, 1996, PARTNERSHIPS BIRDS S, P344 46004 FEENY P, 1970, ECOLOGY, V51, P565 46005 FORSLUND P, 1991, BEHAV ECOL, V2, P116 46006 GASTON AJ, 1997, IBIS, V139, P673 46007 GREEN DJ, 2001, J ANIM ECOL, V70, P505 46008 GRIECO F, 2002, J AVIAN BIOL, V33, P331 46009 HAIG SM, 1993, CONSERV BIOL, V7, P289 46010 HARRIS MP, 1994, J AVIAN BIOL, V25, P268 46011 HONTSCH K, 2005, THESIS U FRANKFURT G 46012 INGOLD DJ, 1994, WILSON BULL, V106, P227 46013 KLOMP H, 1970, ARDEA, V58, P1 46014 KRISTIN A, 1992, ORNITHOL BEOB, V89, P157 46015 MCGRAW KJ, 2004, BEHAVIOUR 1, V141, P1 46016 MIKUSINSKI G, 1997, VOGELWELT, V118, P277 46017 MONROS JS, 2002, OIKOS, V99, P481 46018 MURPHY MT, 1986, ECOLOGY, V67, P1483 46019 NAEFDAENZER B, 1999, J ANIM ECOL, V68, P708 46020 NAEFDAENZER B, 2001, J ANIM ECOL, V70, P730 46021 NAEFDAENZER L, 2000, J AVIAN BIOL, V31, P206 46022 NILSSON JA, 1993, ANIM BEHAV, V46, P379 46023 NILSSON SG, 1992, ORNIS SVECICA, V2, P13 46024 OLSSON O, 1998, THESIS LUND U SWEDEN 46025 PASINELLI G, 1999, THESIS U ZURICH SWIT 46026 PERRINS CM, 1985, IBIS, V127, P306 46027 PERRINS CM, 1991, IBIS, V133, P49 46028 PRICE T, 1988, SCIENCE, V240, P798 46029 PYLE P, 2001, J ANIM ECOL, V70, P1088 46030 PYNNONEN A, 1943, ANN ZOOL SOC ZOOL BO, V9, P1 46031 ROSSMANITH E, 2005, THESIS U POTSDAM GER 46032 SEKI SI, 1998, OECOLOGIA, V114, P514 46033 SIIKAMAKI P, 1998, ECOLOGY, V79, P1789 46034 TIAINEN J, 1985, ORNIS FENNICA, V62, P80 46035 TOMTOV Y, 1993, CONDOR, V95, P282 46036 TOROK J, 1990, HOLARCTIC ECOL, V13, P257 46037 VANBALEN JH, 1973, ARDEA-T NED, V61, P1 46038 VERBOVEN N, 1998, OIKOS, V81, P511 46039 VERHULST S, 1995, ECOLOGY, V76, P2392 46040 VISSER ME, 1998, P ROY SOC LOND B BIO, V265, P1867 46041 VONBLOTZHEIM UNG, 1994, COLUMBIFORMES PICIFO 46042 WESOLOWSKI T, 1998, ARDEA, V86, P89 46043 WESOLOWSKI T, 2000, J ORNITHOL, V141, P309 46044 WIKTANDER U, 1998, THESIS LUND U SWEDEN 46045 WIKTANDER U, 2001, AUK, V118, P624 46046 WIKTANDER U, 2001, IBIS, V143, P72 46047 NR 51 46048 TC 0 46049 PU SPRINGER 46050 PI NEW YORK 46051 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 46052 SN 0021-8375 46053 J9 J ORNITHOL 46054 JI J. Ornithol. 46055 PD JUL 46056 PY 2007 46057 VL 148 46058 IS 3 46059 BP 323 46060 EP 332 46061 PG 10 46062 SC Ornithology 46063 GA 188PF 46064 UT ISI:000247931100006 46065 ER 46066 46067 PT J 46068 AU Loeppke, R 46069 Taitel, M 46070 Richling, D 46071 Parry, T 46072 Kessler, RC 46073 Hymel, P 46074 Konicki, D 46075 AF Loeppke, Ronald 46076 Taitel, Michael 46077 Richling, Dennis 46078 Parry, Thomas 46079 Kessler, Ronald C. 46080 Hymel, Pam 46081 Konicki, Doris 46082 TI Health and productivity as a business strategy 46083 SO JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE 46084 LA English 46085 DT Article 46086 ID PERFORMANCE QUESTIONNAIRE HPQ; ORGANIZATION HEALTH; PRESENTEEISM; 46087 RECOMMENDATIONS; ASSOCIATION; DISABILITY; IMPACT; COSTS 46088 AB Objective: The objective of this study is to assess the magnitude of 46089 health-related lost productivity relative to medical and pharmacy costs 46090 for four employers and assess the business implications of a 46091 'full-cost" approach to managing health. Methods: A database was 46092 developed by integrating medical and pharmacy claims data with employee 46093 self-report Productivity and health information collected through the 46094 Health and Work Performance Questionnaire (HPQ). Information collected 46095 on employer business measures were combined with this database to model 46096 health-related lost productivity. Results: 1) Health-related 46097 productivity costs were more than four times greater than medical and 46098 pharmacy costs. 2) The full cost of poor health is driven 1 different 46099 health conditions than those driving medical and pharmacy costs alone. 46100 Conclusions: This study demonstrates that Integrated Population Health 46101 & Productivity Management should be built on a foundation of Integrated 46102 Population Health & Productivity Measurement. Therefore, employers 46103 would reveal a blueprint for action for their integrated health and 46104 productivity enhancement strategies by measuring the full health and 46105 productivity costs related to the burdens of illness and health risk in 46106 their population. 46107 C1 Matria Healthcare, Marietta, GA 30067 USA. 46108 RP Loeppke, R, Matria Healthcare, 1850 Pkwy Pl, Marietta, GA 30067 USA. 46109 EM ron_loeppke@matria.com 46110 CR *HLTH PROJ, 2006, CE KOOP NAT AW WINN 46111 ALDANA SG, 2001, AM J HEALTH PROMOT, V15, P296 46112 ALTMAN SH, 2003, HEALTH AFFAIR 46113 BLUMENTHAL D, 2006, NEW ENGL J MED, V355, P195 46114 BRADY W, 1997, J OCCUP ENVIRON MED, V39, P224 46115 BURTON WN, 2004, J OCCUP ENVIRON ME S, V46, S38 46116 BURTON WN, 2006, DIS MANAG, V9, P131 46117 BURTON WN, 2006, J OCCUP ENVIRON MED, V48, P252 46118 EDINGTON DW, 2003, PRACTICAL APPROACH O, P40 46119 GILMER T, 2001, MED CARE, V39, P1188 46120 GOETZEL RZ, 2004, J OCCUP ENVIRON MED, V46, P398 46121 GOETZEL RZ, 2007, J OCCUP ENVIRON MED, V49, P111 46122 KESSLER RC, 2003, J OCCUP ENVIRON MED, V45, P156 46123 KESSLER RC, 2004, J OCCUP ENVIRON ME S, V46, S23 46124 LEAVITT M, 2006, HLTH HUMAN SERVICES 46125 LERNER D, 2005, J OCCUP ENVIRON MED, V47, P253 46126 LOEPPKE R, 2003, J OCCUP ENVIRON MED, V45, P349 46127 LOEPPKE R, 2006, J OCCUP ENVIRON MED, V48, P533 46128 MURRAY CJL, 1996, SCIENCE, V274, P740 46129 NICHOLSON S, 2006, HEALTH ECON, V15, P111 46130 PARRY T, 2002, BRINK CHANGE CFOS IN 46131 PARRY T, 2004, BUSINESS CASE MANAGE 46132 PARRY T, 2006, BUSINESS VALUE HLTH 46133 NR 23 46134 TC 0 46135 PU LIPPINCOTT WILLIAMS & WILKINS 46136 PI PHILADELPHIA 46137 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 46138 SN 1076-2752 46139 J9 J OCCUP ENVIRON MED 46140 JI J. Occup. Environ. Med. 46141 PD JUL 46142 PY 2007 46143 VL 49 46144 IS 7 46145 BP 712 46146 EP 721 46147 PG 10 46148 SC Public, Environmental & Occupational Health 46149 GA 190PF 46150 UT ISI:000248070500004 46151 ER 46152 46153 PT J 46154 AU Kong, HF 46155 Phillips, C 46156 AF Kong, Huifang 46157 Phillips, Chris 46158 TI Improved dynamic lightpath provisioning for large wavelength-division 46159 multiplexed backbones 46160 SO JOURNAL OF LIGHTWAVE TECHNOLOGY 46161 LA English 46162 DT Article 46163 DE control plane; dynamic lightpath provisioning; prebooking; resource 46164 management; wavelength-division multiplexed (WDM) 46165 ID OPTICAL NETWORKS; WDM NETWORKS; ARCHITECTURE; DESIGN 46166 AB Technology already exists that would allow future optical networks to 46167 support automatic lightpath configuration in response to dynamic 46168 traffic demands. Given appropriate commercial drivers, it is possible 46169 to foresee carrier network operators migrating away from semipermanent 46170 provisioning to enable on-demand short-duration communications. 46171 However, with traditional lightpath reservation protocols, a portion of 46172 the lightpath is idly held during the signaling propagation phase, 46173 which can significantly reduce the lightpath bandwidth efficiency in 46174 large wavelength-division multiplexed backbones. This paper proposes a 46175 prebooking mechanism to improve the lightpath efficiency over 46176 traditional reactive two-way reservation protocols, consequently 46177 liberating network resources to support higher traffic loads. The 46178 prebooking mechanism predicts the time when the traffic will appear at 46179 the optical cross connects, and intelligently schedules the lightpath 46180 components such that resources are only consumed as necessary. We 46181 describe the proposed signaling procedure for both centralized and 46182 distributed control planes and analyze its performance. This paper also 46183 investigates the aggregated flow length characteristics with the 46184 self-similar incident traffic and examines the effects of traffic 46185 prediction on the blocking probability as well as the ability to 46186 support latency sensitive traffic in a wide-area environment. 46187 C1 Univ London Queen Mary & Westfield Coll, Dept Elect Engn, London E1 4NS, England. 46188 RP Kong, HF, Univ London Queen Mary & Westfield Coll, Dept Elect Engn, 46189 Mile End Rd, London E1 4NS, England. 46190 EM huifang.kong@bt.com 46191 chris.phillips@elec.qmul.ac.uk 46192 CR ASSI C, 2001, IEEE NETWORK, V15, P36 46193 CHEN H, 1997, P IEEE TENCON97 IEEE, V2, P791 46194 DEMIGUEL I, 2002, P IFIP 6 WORK C OPT, P85 46195 DUSER M, 2002, J LIGHTWAVE TECHNOL, V20, P574 46196 DUSER M, 2004, J OPT NETW, V3, P667 46197 GILBERT AC, 1999, IEEE T INFORM THEORY, V45, P971 46198 IZAL M, 2002, P IEEE GLOBECOM, V3, P2308 46199 KONG H, 2006, IEE P-COMMUN, V153, P779 46200 LELAND WE, 1994, IEEE ACM T NETWORK, V2, P1 46201 LIU JX, 2003, IEEE J SEL AREA COMM, V21, P1210 46202 LU KJ, 2005, IEEE ACM T NETWORK, V13, P187 46203 MANNIE E, 2004, 3945 RFC 46204 MAROM DM, 2005, J LIGHTWAVE TECHNOL, V23, P1620 46205 RAMAMURTHY R, 2001, J LIGHTWAVE TECHNOL, V19, P40 46206 SAHARA A, 2003, ELECTRON LETT, V39, P1267 46207 SENGUPTA S, 2001, IEEE NETWORK, V15, P46 46208 XIONG YJ, 2000, IEEE J SEL AREA COMM, V18, P1838 46209 YU J, 2005, IEEE T SIGNAL PROC 1, V53, P505 46210 ZHANG ZL, 2003, P IEEE INFOCOM, V3, P1826 46211 NR 19 46212 TC 0 46213 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 46214 PI PISCATAWAY 46215 PA 445 HOES LANE, PISCATAWAY, NJ 08855 USA 46216 SN 0733-8724 46217 J9 J LIGHTWAVE TECHNOL 46218 JI J. Lightwave Technol. 46219 PD JUL 46220 PY 2007 46221 VL 25 46222 IS 7 46223 BP 1693 46224 EP 1701 46225 PG 9 46226 SC Engineering, Electrical & Electronic; Optics 46227 GA 189WX 46228 UT ISI:000248020400006 46229 ER 46230 46231 PT J 46232 AU Harstad, B 46233 AF Harstad, Bard 46234 TI Organizational form and the market for talent 46235 SO JOURNAL OF LABOR ECONOMICS 46236 LA English 46237 DT Article 46238 ID CAREER CONCERNS; INCENTIVES; TURNOVER; FIRM; COMPETITION; ECONOMICS; 46239 MANAGEMENT; PERSPECTIVE; PERFORMANCE; SUPERSTARS 46240 AB This article brings together the market for products, the market for 46241 talent, and firms' organizational form. While the organizational design 46242 determines the allocation of blame and fame within the firm, the value 46243 of a good reputation depends on the market structure. Consequently, the 46244 market structure dictates the optimal organizational design. If 46245 competition becomes tougher and the market thicker, transparent firms 46246 decentralize while nontransparent firms concentrate control, 46247 transparency itself is improved, corporations switch from unitary to 46248 multidivisional form, and the turnover of managers increases. The model 46249 rationalizes recent trends in both executive pay and organizational 46250 design. 46251 C1 Northwestern Univ, Evanston, IL 60208 USA. 46252 RP Harstad, B, Northwestern Univ, Evanston, IL 60208 USA. 46253 EM harstad@kellogg.northwestern.edu 46254 CR ABRAHAM KG, 1996, J LABOR ECON, V14, P394 46255 ADAMS RB, 2005, REV FINANC STUD, V18, P1403 46256 AGHION P, 1995, EUR ECON REV, V39, P440 46257 ANDERSSON F, 2002, J LABOR ECON, V20, P42 46258 BAKER GP, 2004, J LABOR ECON, V22, P767 46259 BARTONE CR, 1997, WASTE MANAGE RES, V15, P3 46260 BROWN C, 1989, J POLIT ECON, V97, P1027 46261 CABRAL LMB, 2000, RAND J ECON, V31, P658 46262 CAROLI E, 2001, Q J ECON, V116, P1449 46263 CARRILLO JD, 2001, EUR ECON REV, V45, P1 46264 CARRILLO JD, 2003, INT J IND ORGAN, V21, P881 46265 CHANDLER A, 1962, STRATEGY STRUCTURE 46266 DEMOUGIN D, 1994, AM ECON REV, V84, P1261 46267 DEWATRIPONT M, 1999, REV ECON STUD, V66, P199 46268 ECONOMIDES N, 1984, EUR ECON REV, V24, P345 46269 FAMA EF, 1980, J POLITICAL EC, V88, P288 46270 FEE CE, 2000, J BUS, V73, P205 46271 FRANK RH, 1995, WINNER TAKE ALL SOC 46272 FRYDMAN C, 2005, RISING RANKS EVOLUTI 46273 GABAIX X, 2007, WHY HAS CEO PAY INCR 46274 GIBBONS R, 1990, IND LABOR RELATIONS, V43, P30 46275 GIBBONS R, 1992, REV ECON STUD, V59, P515 46276 HADLOCK CJ, 1997, J BUS, V70, P153 46277 HOLMSTROM B, 1999, REV ECON STUD, V66, P169 46278 HUSON MR, 2001, J FINANC, V56, P2265 46279 JEON S, 1996, INT J IND ORGAN, V14, P297 46280 KANEMOTO Y, 1992, J LABOR ECON, V10, P85 46281 KANTER RM, 1989, GIANTS LEARN DANCE M 46282 KRUEGER AB, 2005, J LABOR ECON, V23, P1 46283 MACDONALD GM, 1988, AM ECON REV, V78, P155 46284 MASKIN E, 2000, REV ECON STUD, V67, P359 46285 MEYER MA, 1994, Q J ECON, V109, P1157 46286 MEYER MA, 1997, J POLIT ECON, V105, P547 46287 MILGROM P, 1992, EC ORG MANAGEMENT 46288 MURPHY KJ, 1999, HDB LABOR EC B, V3 46289 NEAL D, 2000, HDB INCOME DISTRIBUT, V1 46290 OI WY, 1999, HDB LABOR EC B, V3 46291 OLSON CA, 2002, J LABOR ECON 2, V20, S91 46292 ORTEGA J, 2001, MANAGE SCI, V47, P1361 46293 ORTEGA J, 2003, J ECON MANAGE STRAT, V12, P1 46294 OWAN H, 2004, J LABOR ECON, V22, P955 46295 QIAN YY, 2006, J POLIT ECON, V114, P366 46296 RAITH M, 2003, AM ECON REV, V93, P1425 46297 ROSEN S, 1981, AM ECON REV, V71, P845 46298 ROSEN S, 1982, BELL J ECON, V13, P311 46299 ROSEN S, 1986, HDB LABOR EC, V1 46300 SALOP SC, 1979, BELL J ECON, V10, P141 46301 SMITH A, 1947, INQUIRY NATURE CAUSE 46302 TADELIS S, 1999, AM ECON REV, V89, P548 46303 TADELIS S, 2002, J POLIT ECON, V110, P854 46304 TERVIO M, 2006, SUPERSTARS MEDIOCRIT 46305 TERVIO M, 2007, DIFFERENCE CEOS MAKE 46306 TIROLE J, 1988, THEORY IND ORG 46307 VIVES X, 1999, OLIGOPOLY PRICING OL 46308 WILLIAMSON O, 1975, MARKETS HIERARCHIES 46309 NR 55 46310 TC 0 46311 PU UNIV CHICAGO PRESS 46312 PI CHICAGO 46313 PA 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA 46314 SN 0734-306X 46315 J9 J LABOR ECON 46316 JI J. Labor Econ. 46317 PD JUL 46318 PY 2007 46319 VL 25 46320 IS 3 46321 BP 581 46322 EP 611 46323 PG 31 46324 SC Economics; Industrial Relations & Labor 46325 GA 191BR 46326 UT ISI:000248105300007 46327 ER 46328 46329 PT J 46330 AU Skovmand, O 46331 AF Skovmand, Ole 46332 TI Microbial control in Southeast Asia 46333 SO JOURNAL OF INVERTEBRATE PATHOLOGY 46334 LA English 46335 DT Article 46336 DE microbial control; Southeast Asia; IPM; integrated pest management; 46337 biopesticide; biological control 46338 ID PERFORMANCE; FUNGAL 46339 AB Beginning in the 1980s, concerns about the deleterious effects of 46340 synthetic pesticides have driven a significant Southeast Asian research 46341 and development effort directed towards alternative pest control 46342 strategies, including the use of microbial control agents. Despite this 46343 effort, use of microbial control agents has grown slowly in the region. 46344 This is the result of an interplay between internal factors such as 46345 economics, national research programs, farmer education, manufacturing 46346 capabilities and regulatory frameworks, and external factors such as 46347 the influence of neighboring countries (particularly China), the 46348 availability of competitive pest control products, import regulations 46349 on pesticide residues and the activities of donor agencies. The role of 46350 these factors in providing both incentives and barriers to the adoption 46351 of microbial control are explored, and examples of promising projects 46352 are examined as a means of pointing the way forward towards increased 46353 progress in the future. (c) 2007 Elsevier Inc. All rights reserved. 46354 C1 Intelligent Insect Control, F-34170 Montpellier, France. 46355 RP Skovmand, O, Intelligent Insect Control, 118 Alouettes, F-34170 46356 Montpellier, France. 46357 EM ole.skovmand@insectcontrol.net 46358 CR *FAO, 2004, FAO COMM TRAD TECHN 46359 *FAO, 2004, RAP PUBLICATION 46360 *UN DEV PROGR, 2005, 2182 PIMS 46361 ALIMOESO S, 2001, COUNTRY REPORT INDON 46362 GELERNTER WD, 2005, BCPC INT C P 2005, V1, P293 46363 GRZYWACZ D, 2003, DFID CROP PROTECTION, P147 46364 GRZYWACZ D, 2004, REGISTRATION BIOCONT, P101 46365 JAKEL T, 2004, INT S BIOP DEV COUNT, P187 46366 JENKINS NE, 2000, BIOCONTROL SCI TECHN, V10, P753 46367 KHANH HQ, 2002, REG S BIOP 16 18 0CT 46368 MOSLIM R, 2004, J IOL PALM RES, V16, P78 46369 NATH P, 1999, RAP PUBLICATION 46370 NGUYEN TL, 2005, OMONRICE, V13, P69 46371 POSADA F, 2005, MYCOLOGIA, V97, P1195 46372 SANTOSO D, 2004, PEST MANAG SCI, V60, P735 46373 TABORSKY V, 1992, FAO AGR SERVICES B, V96 46374 TU JM, 2000, NAT BIOTECHNOL, V18, P1101 46375 NR 17 46376 TC 1 46377 PU ACADEMIC PRESS INC ELSEVIER SCIENCE 46378 PI SAN DIEGO 46379 PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA 46380 SN 0022-2011 46381 J9 J INVERTEBR PATHOL 46382 JI J. Invertebr. Pathol. 46383 PD JUL 46384 PY 2007 46385 VL 95 46386 IS 3 46387 SI Sp. Iss. SI 46388 BP 168 46389 EP 174 46390 PG 7 46391 SC Zoology 46392 GA 187MB 46393 UT ISI:000247850700004 46394 ER 46395 46396 PT J 46397 AU Halevi, G 46398 Wang, K 46399 AF Halevi, Gideon 46400 Wang, Kesheng 46401 TI Knowledge based manufacturing system (KBMS) 46402 SO JOURNAL OF INTELLIGENT MANUFACTURING 46403 LA English 46404 DT Article 46405 DE manufacturing; scheduling; capacity planning; shop floor control 46406 AB Production management, in batch type manufacturing environment, is 46407 regarded by the current research community as a very complex task. This 46408 paper claims that the complexity is a result of the system approach 46409 where management performance relies on decisions made at a too early 46410 stage in the manufacturing process. Decisions are made and stored in 46411 company databases by engineers who are neither economists nor 46412 production planner's experts. This paper presents a new method where 46413 engineer's task is not to make decisions but rather to prepare a 46414 knowledge-based "road map". The road map method does introduce 46415 flexibility and dynamics in the manufacturing process and thus 46416 simplifies the decision making process in production planning. Each 46417 user will generate a routine that meets his/her needs at the time of 46418 needs by using KBMS CAPP. Thereby this method increases dramatically 46419 manufacturing efficiency. 46420 C1 Hal Teck, IL-64369 Tel Aviv, Israel. 46421 NTNU, Dept Prod & Qual Engn, N-7491 Trondheim, Norway. 46422 RP Halevi, G, Hal Teck, 20A Dobnov St, IL-64369 Tel Aviv, Israel. 46423 EM halev@bezeqint.net 46424 Kesheng.wang@ntnu.no 46425 CR COLLETTE Y, 2003, MULITOBJECTIVE OPTIM 46426 FITZGERALD A, 2000, 3 INT C FACT 2000 CO, V359 46427 GUENOV MD, 2002, 2 INT C MAN COMPL NE, P455 46428 HALEVI G, 1980, ROLE COMPUTERS MANUF 46429 HALEVI G, 1999, RESTRUCTURING MANUFA 46430 HALEVI G, 2004, INT J INNOVATION TEC, V1, P369 46431 HALEVI G, 2006, INT CIRP C DIG ENT T 46432 LIU J, 1996, INT J PROD RES, V34, P647 46433 TINHAM B, 2000, MANUFACTURING COMPUT, V6, P14 46434 WANG KS, 2003, INT J MACH TOOL MANU, V43, P995 46435 NR 10 46436 TC 0 46437 PU SPRINGER 46438 PI DORDRECHT 46439 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 46440 SN 0956-5515 46441 J9 J INTELL MANUF 46442 JI J. Intell. Manuf. 46443 PD AUG 46444 PY 2007 46445 VL 18 46446 IS 4 46447 BP 467 46448 EP 474 46449 PG 8 46450 SC Computer Science, Artificial Intelligence; Engineering, Manufacturing 46451 GA 198JH 46452 UT ISI:000248623900004 46453 ER 46454 46455 PT J 46456 AU Sharif, SA 46457 Kayis, B 46458 AF Sharif, Syed A. 46459 Kayis, Berman 46460 TI DSM as a knowledge capture tool in CODE environment 46461 SO JOURNAL OF INTELLIGENT MANUFACTURING 46462 LA English 46463 DT Article 46464 DE design structure matrix (DSM); new product development (NPD); customer 46465 order driven engineering (CODE); knowledge management (KM) 46466 ID DESIGN; SYSTEM 46467 AB A design structure matrix (DSM) provides a simple, compact, and visual 46468 representation of a complex system/process. This paper shows how DSM, a 46469 system engineering tool, is applied as a knowledge capture 46470 (acquisition) tool in a generic NPD process. The acquired knowledge 46471 (identified in the DSM) is provided in the form of Questionnaires, 46472 which are organized into five performance indicators of the 46473 organization namely 'Marketing', 'Technical', 'Financial', 'Resource 46474 Management', and 'Project Management'. Industrial application is 46475 carried out for knowledge validation. It is found form the application 46476 that the acquired knowledge helps NPD teams, managers and stakeholders 46477 to benchmark their NPD endeavor and select areas to focus their 46478 improvement efforts (up to 80% valid). 46479 C1 Univ New S Wales, Sch Mech & Mfg Engn, Sydney, NSW 2052, Australia. 46480 RP Sharif, SA, Univ New S Wales, Sch Mech & Mfg Engn, Sydney, NSW 2052, 46481 Australia. 46482 EM sasharif_unsw@yahoo.com 46483 CR *DEF SYST MAN COLL, 1990, SYST ENG MAN GUID 46484 *PROJ MAN I, 2004, GUID PROJ MAN BOD KN 46485 ANDERSON DM, 2004, BUILD TO ORDER MASS, P1 46486 BIESNER J, 2005, KNOWLEDGE MANAGEMENT, P159 46487 BROWNING TR, 1998, P 5 ISPE INT C CONC 46488 BROWNING TR, 1999, TECHNOLOGY MANAGEMEN, P103 46489 BROWNING TR, 1999, THESIS SLOAN SCH MAN 46490 BROWNING TR, 2001, IEEE T ENG MANAGE, V48, P292 46491 CHANDRA C, 2004, MASS CUSTOMIZATION S 46492 CHENG F, 2002, MANUFACTURING SERVIC, V4, P114 46493 DAVIS J, 2005, KNOWLEDGE MANAGEMENT 46494 DENKER S, 1999, CQM J, V8, P55 46495 DONG Q, 1999, THESIS MIT 46496 EPPINGER SD, 1990, ASME C DES THEOR MET, P39 46497 EPPINGER SD, 1994, RES ENG DES, V6, P1 46498 FERNANDO EPC, 1969, P 2 INT C PROJ PLANN, P76 46499 GROSE DL, 1994, P 5 AIAA USAF NASA I 46500 HAYES M, 1969, P 2 INT C PROJ PLANN, P128 46501 LORSCH JW, 1972, MANAGING GROUP INTER 46502 ROGERS JL, 1996, TM110247 46503 SHARIF SA, 2006, THESIS U N S WALES S 46504 STEWARD DV, 1981, IEEE T ENG MANAGE, V28, P71 46505 STEWARD DV, 1981, SYSTEMS ANAL MANAGEM 46506 THAM KM, 2006, 3 IEEE INT C MAN INN, P427 46507 THAM KM, 2006, IMPLEMENTING CONCURR 46508 WARFIELD JN, 1976, SOCIAL SYSTEMS PLANN 46509 YASSINE A, 1999, INT J PROD RES, V37, P2957 46510 NR 27 46511 TC 0 46512 PU SPRINGER 46513 PI DORDRECHT 46514 PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 46515 SN 0956-5515 46516 J9 J INTELL MANUF 46517 JI J. Intell. Manuf. 46518 PD AUG 46519 PY 2007 46520 VL 18 46521 IS 4 46522 BP 497 46523 EP 504 46524 PG 8 46525 SC Computer Science, Artificial Intelligence; Engineering, Manufacturing 46526 GA 198JH 46527 UT ISI:000248623900008 46528 ER 46529 46530 PT J 46531 AU Campisano, A 46532 Creaco, E 46533 Modica, C 46534 AF Campisano, A. 46535 Creaco, E. 46536 Modica, C. 46537 TI Dimensionless aproach for the design of flushing gates in sewer channels 46538 SO JOURNAL OF HYDRAULIC ENGINEERING-ASCE 46539 LA English 46540 DT Article 46541 ID SEDIMENT TRANSPORT; SIMULATION; FLOW 46542 AB The various hydraulic and environmental problems related to the 46543 accumulation of solids have recently drawn increasingly attention to 46544 deposits in the management of sewer systems. Among the mechanical and 46545 hydraulic devices used for deposit removal, hydraulic flushing gates 46546 have proved to be a cost-effective solution and have been adopted in 46547 several sewer networks. This paper reports the results of an 46548 investigation on the scouring performance of flushing waves produced by 46549 hydraulic flushing gates. A numerical model based on the De Saint 46550 Venant-Exner equations in dimensionless form was validated by using 46551 data derived from laboratory experiments and was then utilized in this 46552 investigation. Simulations were carried out considering various values 46553 of the dimensionless parameters involved in the analysis, in order to 46554 obtain indications for the design and positioning of flushing devices 46555 in sewer channels. The problem of optimal flushing frequency was also 46556 investigated. 46557 C1 Univ Catania, Dip Ing Civil & Ambientale, I-95125 Catania, Italy. 46558 RP Creaco, E, Univ Catania, Dip Ing Civil & Ambientale, Viale A Doria 6, 46559 I-95125 Catania, Italy. 46560 EM ecreaco@dica.unict.it 46561 CR ASHLEY RM, 1996, J HYDRAUL RES, V34, P753 46562 ASHLEY RM, 2004, SOLIDS SEWERS 46563 BERTOZZI L, 1993, INT DAIRY J, V3, P4 46564 BERTRANDKRAJEWSKI JL, 2003, WATER SCI TECHNOL, V47, P129 46565 BERTRANDKRAJEWSKI JL, 2005, WATER SCI TECHNOL, V51, P129 46566 BHALLAMUDI SM, 1991, J HYDRAUL ENG-ASCE, V117, P1145 46567 CAMPISANO A, 2004, J HYDROL, V299, P324 46568 CAMPISANO A, 2005, J HYDRAUL ENG-ASCE, V131, P1145 46569 CAMPISANO A, 2005, P 10 INT C URB DRAIN 46570 COLEBROOK CF, 1937, PROC R SOC LON SER-A, V161, P367 46571 DETTMAR J, 2005, P 10 INT C URB DRAIN 46572 EINSTEIN HA, 1950, T AM GEOPHYS UNION, V31, P603 46573 GARCIANAVARRO P, 1992, J HYDRAUL ENG-ASCE, V118, P1359 46574 GARCIANAVARRO P, 1992, J HYDRAUL RES, V30, P95 46575 GUO QZ, 2004, J HYDRAUL ENG-ASCE, V130, P463 46576 KALINSKE AA, 1947, T AM GEOPHYSICAL UNI, V28, P615 46577 LIN HS, 1996, WATER SCI TECHNOL, V33, P61 46578 MEYERPETER E, 1948, 2ND P C IAHR STOCKH, V2, P39 46579 NIELSEN P, 1992, COASTAL BOTTOM BOUND, P95 46580 VANRIJN LC, 1984, J HYDRAUL ENG-ASCE, V110, P1431 46581 NR 20 46582 TC 0 46583 PU ASCE-AMER SOC CIVIL ENGINEERS 46584 PI RESTON 46585 PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA 46586 SN 0733-9429 46587 J9 J HYDRAUL ENG-ASCE 46588 JI J. Hydraul. Eng.-ASCE 46589 PD AUG 46590 PY 2007 46591 VL 133 46592 IS 8 46593 BP 964 46594 EP 972 46595 PG 9 46596 SC Engineering, Civil; Engineering, Mechanical; Water Resources 46597 GA 190ZG 46598 UT ISI:000248098800012 46599 ER 46600 46601 PT J 46602 AU Qutab, SS 46603 Razzaq, SN 46604 Khan, IU 46605 Ashfaq, M 46606 Shuja, ZA 46607 AF Qutab, Syed Shanaz 46608 Razzaq, Syed Naeem 46609 Khan, Islam Ullah 46610 Ashfaq, Muhammad 46611 Shuja, Zeba Ahmad 46612 TI Simultaneous determination of atorvastatin calcium and ezetimibe in 46613 pharmaceutical formulations by liquid chromatography 46614 SO JOURNAL OF FOOD AND DRUG ANALYSIS 46615 LA English 46616 DT Article 46617 DE HPLC; acetonitrile; isocratic; atorvastatin calcium; ezetimibe 46618 ID TANDEM MASS-SPECTROMETRY; HPLC METHOD; HUMAN PLASMA; VALIDATION; 46619 MANAGEMENT; FORMS; ASSAY 46620 AB A simple, precise and sensitive reverse-phase high performance liquid 46621 chromatographic (RP-HPLC) method has been developed for the 46622 quantitation of atorvastatin calcium simultaneously with ezetimibe in 46623 pharmaceutical formulations. Chromatographic separation was achieved on 46624 a 250 x 4.6 mm, 5 mu Hypersil (R) phenyl-2 column. Eluent was monitored 46625 by absorbance at 242 nm using a mixture of 0.1 M ammonium acetate (pH 46626 6.5) and acetonitrile in the ratio of 28:72 (v/v). Calibration plots 46627 were linear in the concentration range of 12-52 mu g mL-1 for both 46628 atorvastatin calcium and ezetimibe with correlation coefficient (R2) 46629 between 0.9966 and 0.9993. The total run time is less than 5 min. The 46630 proposed method was validated by testing its linearity, recovery, 46631 selectivity, repeatability and LOD/LOQ values and it was successfully 46632 employed for the determination of atorvastatin calcium and ezetimibe in 46633 pharmaceutical tablet formulations. 46634 C1 Govt Coll Univ, Dept Chem, Lahore 54000, Pakistan. 46635 Schazoo Labs Pvt Ltd, Lahore 54000, Pakistan. 46636 RP Khan, IU, Govt Coll Univ, Dept Chem, Lahore 54000, Pakistan. 46637 EM iukhan@gcu.edu.pk 46638 CR BAHRAMI G, 2005, J CHROMATOGR B, V82, P41 46639 BULLEN WW, 1999, J AM SOC MASS SPECTR, V10, P55 46640 ERTURK S, 2003, J PHARMACEUT BIOMED, V33, P1017 46641 HERMANN M, 2005, ANAL BIOANAL CHEM, V382, P1242 46642 JEMAL M, 1999, RAPID COMMUN MASS SP, V13, P1003 46643 LEA AP, 1997, DRUGS, V53, P828 46644 LEITERSDORF E, 2002, INT J CLIN PRACT, V56, P116 46645 SINGH S, 2006, J PHARMACEUT BIOMED, V41, P1037 46646 SISTLA R, 2005, J PHARMACEUT BIOMED, V39, P517 46647 VONHEEK M, 2001, BRIT J PHARMACOL, V134, P409 46648 ZARGHI A, 2005, ARZNEIMITTEL-FORSCH, V55, P451 46649 NR 11 46650 TC 0 46651 PU BUREAU FOOD DRUG ANALYSIS 46652 PI TAIPEI 46653 PA 161-2 KUNYANG STREET, NANGANG, TAIPEI, 00000, TAIWAN 46654 SN 1021-9498 46655 J9 J FOOD DRUG ANAL 46656 JI J. Food Drug Anal. 46657 PD JUN 46658 PY 2007 46659 VL 15 46660 IS 2 46661 BP 139 46662 EP 144 46663 PG 6 46664 SC Food Science & Technology; Pharmacology & Pharmacy 46665 GA 189NE 46666 UT ISI:000247994800006 46667 ER 46668 46669 PT J 46670 AU Louis, H 46671 White, H 46672 AF Louis, Henock 46673 White, Hal 46674 TI Do managers intentionally use repurchase tender offers to signal 46675 private information? Evidence from firm financial reporting behavior 46676 SO JOURNAL OF FINANCIAL ECONOMICS 46677 LA English 46678 DT Article 46679 DE repurchase tender offers; signaling; managerial opportunism; financial 46680 reporting 46681 ID MUTUAL FUND PERFORMANCE; COMMON-STOCK REPURCHASES; EARNINGS MANAGEMENT; 46682 MARKET PERFORMANCE; SHARE REPURCHASES; ACCRUALS; RETURNS; TESTS; 46683 BONDHOLDERS; PRICES 46684 AB Signaling is the most commonly cited explanation for stock repurchases 46685 in the academic literature. Yet, there is little evidence on whether 46686 managers intentionally use repurchases as signaling devices. Using a 46687 firm's financial reporting behavior to infer managerial intent, we find 46688 evidence suggesting that managers intentionally use fixed-price 46689 repurchase tender offers to signal undervaluation. In contrast, we find 46690 no evidence that managers use Dutch-auction tender offers to signal 46691 undervaluation. Instead, firms engaging in Dutch-auction repurchases 46692 act as if they are trying to deflate their earnings prior to the 46693 repurchases to further reduce the repurchasing price. (c) 2007 Elsevier 46694 B.V. All rights reserved. 46695 C1 Penn State Univ, Smeal Coll Business, University Pk, PA 16802 USA. 46696 RP Louis, H, Penn State Univ, Smeal Coll Business, University Pk, PA 16802 46697 USA. 46698 EM hul4@psu.edu 46699 CR ARYA A, 2003, ACCOUNTING HORIZONS, V17, P111 46700 BARBER BM, 1997, J FINANC ECON, V43, P341 46701 BHATTACHARYA S, 1979, BELL J ECON, V10, P259 46702 BRAV A, 2005, J FINANC ECON, V77, P483 46703 BRENNAN M, 1990, J FINANC, V4, P993 46704 CARHART MM, 1997, J FINANC, V52, P57 46705 COMMENT R, 1991, J FINANC, V46, P1243 46706 CONSTANTINIDES GM, 1989, REV FINANC STUD, V2, P445 46707 COWAN AR, 2001, J BANK FINANC, V25, P741 46708 DANIEL K, 1997, J FINANC, V52, P1035 46709 DANN LY, 1981, J FINANC ECON, V9, P113 46710 DANN LY, 1991, J ACCOUNT ECON, V14, P217 46711 DEFOND ML, 1994, J ACCOUNT ECON, V17, P145 46712 DENIS D, 1993, J APPL CORPORATE FIN, V6, P60 46713 DITTMAR AK, 2000, J BUS, V73, P331 46714 FAMA EF, 1973, J POLITICAL EC, V81, P607 46715 FAMA EF, 1998, J FINANC ECON, V49, P283 46716 FRIED JM, 2000, U CHICAGO LAW REV, V67, P421 46717 GAY G, 1991, FINANC MANAGE, V20, P44 46718 GRULLON G, 2000, J APPL CORPORATE FIN, V13, P31 46719 GRULLON G, 2004, J FINANC, V59, P651 46720 GUAY WR, 1996, J ACCOUNTING RES S, V34, P83 46721 HEALY P, 1999, ACCOUNTING HORIZONS, V13, P365 46722 HUDDART S, 2007, UNPUB STOCK RETURNS 46723 IKENBERRY D, 1999, J PRIVATE PORTFOLIO, V1, P13 46724 JOLLS C, 1998, UNPUB ROLE INCENTIVE 46725 JONES JJ, 1991, J ACCOUNTING RES, V29, P193 46726 KAHLE KM, 2002, J FINANC ECON, V63, P235 46727 KLEIN A, 2002, J ACCOUNT ECON, V33, P375 46728 KOTHARI SP, 2005, J ACCOUNT ECON, V39, P163 46729 LAKONISHOK J, 1990, J FINANC, V45, P455 46730 LEE DS, 1992, J FINANC, V47, P1947 46731 LEE F, 1981, PUBLIC DISCLOSURE CO 46732 LOUIS H, 2004, J FINANC ECON, V74, P121 46733 LOUIS H, 2005, J ACCOUNT ECON, V39, P361 46734 LOUIS H, 2007, IN PRESS REV ACCOUNT 46735 LOUIS H, 2007, UNPUB INSIDER TRADIN 46736 LYON JD, 1999, J FINANC, V54, P165 46737 MAXWELL WF, 2003, J FINANC, V58, P895 46738 NOFSINGER JR, 1999, J FINANC, V54, P2263 46739 PERRY SE, 1994, J ACCOUNT ECON, V18, P157 46740 PERSONS JC, 1994, J FINANC, V49, P1373 46741 PERSONS JC, 1997, J CORP FINANC, V3, P221 46742 PEYER U, 2006, UNPUB NATURE PERSIST 46743 RAU PR, 2002, J BUS, V75, P245 46744 RUHNKA J, 1986, HARVARD BUS REV, V64, P34 46745 SKINNER DJ, 1994, J ACCOUNTING RES, V32, P38 46746 SKINNER DJ, 1997, J ACCOUNT ECON, V23, P249 46747 SLOAN RG, 1996, ACCOUNT REV, V71, P289 46748 TEOH SH, 1998, J FINANC ECON, V50, P63 46749 TEOH SH, 1998, J FINANC, V53, P1935 46750 VERMAELEN T, 1981, J FINANC ECON, V9, P139 46751 VERMAELEN T, 1984, J FINANC QUANT ANAL, V19, P163 46752 WATTS R, 1986, POSITIVE ACCOUNTING 46753 WERMERS R, 1999, J FINANC, V54, P581 46754 WERMERS R, 2000, J FINANC, V55, P1655 46755 XIE H, 2001, ACCOUNT REV, V76, P357 46756 NR 57 46757 TC 0 46758 PU ELSEVIER SCIENCE SA 46759 PI LAUSANNE 46760 PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND 46761 SN 0304-405X 46762 J9 J FINAN ECON 46763 JI J. Financ. Econ. 46764 PD JUL 46765 PY 2007 46766 VL 85 46767 IS 1 46768 BP 205 46769 EP 233 46770 PG 29 46771 SC Business, Finance; Economics 46772 GA 186VY 46773 UT ISI:000247807700008 46774 ER 46775 46776 PT J 46777 AU Taylor, A 46778 Curnow, R 46779 Fletcher, T 46780 Lewis, J 46781 AF Taylor, Andre 46782 Curnow, Rob 46783 Fletcher, Tim 46784 Lewis, Justin 46785 TI Education campaigns to reduce stormwater pollution in commercial areas: 46786 Do they work? 46787 SO JOURNAL OF ENVIRONMENTAL MANAGEMENT 46788 LA English 46789 DT Article 46790 DE behavioral change; monitoring; non-structural best management practices 46791 (BMPs); stormwater management 46792 AB A monitoring and evaluation program was undertaken, involving six 46793 different styles of evaluation to determine whether a low-cost, eight 46794 month education campaign that operated within a small commercial 46795 district was successful at changing people's behavior and reducing 46796 stormwater litter loads. This project also tested newly developed 46797 guidelines for monitoring and evaluating all types of nonstructural 46798 stormwater quality best management practices (BMPs). The project 46799 evaluated: the extent and quality of the campaign's implementation; the 46800 degree to which it changed the awareness, attitudes, self-reported 46801 behavior and actual behavior of merchants and the public;, and the 46802 nature of changes in stormwater litter loads. Overall, the education 46803 campaign produced mixed results, with the net result being modestly 46804 positive. Specifically, it was: unsuccessful at significantly 46805 influencing the knowledge or attitudes of merchants or the public; 46806 modestly successful at influencing the behavior of merchants and the 46807 public; and modestly successful at reducing litter loads in stormwater. 46808 At a theoretical level, the project highlights how using different 46809 'styles' of BMP evaluation can help to build a more complete picture of 46810 a BMP's performance. At a practical level, the project helped to 46811 improve the monitoring and evaluation guidelines and produced 46812 evidence-based design guidelines for future campaigns that aim to 46813 reduce littering in commercial areas. (C) 2006 Elsevier Ltd. All rights 46814 reserved. 46815 C1 Monash Univ, Dept Civil Engn, Inst Sustainable Water Resources, Melbourne, Vic 3800, Australia. 46816 Commun Change Pty Ltd, Moorooduc, Vic 3933, Australia. 46817 RP Taylor, A, Monash Univ, Dept Civil Engn, Inst Sustainable Water 46818 Resources, Melbourne, Vic 3800, Australia. 46819 EM andretaylor@iprimus.com.au 46820 rob@communitychange.com.au 46821 tim.fietcher@eng.monash.edu.au 46822 justin.lewis@eng.monash.edu.au 46823 CR *ASCE US EPA, 2002, PERF MON GUID MAN M 46824 *BIEC, 1999, WHAT WORKS NEW S WAL 46825 *NVPDC, 1996, NONSTR URB BMP HDB G 46826 *US EPA, 1997, MON GUID DET EFF NON 46827 *US EPA, 2001, TECHN TRACK EV REP I 46828 BROWN R, 1999, P COMPR STROMW AQ EC, V2, P67 46829 CURNOW RC, 2001, LITTERING BEHAV STUD, V3 46830 CURNOW RC, 2003, P 2003 INT SOL WAST 46831 CURNOW RC, 2004, MONITORING EVALUATIN 46832 CURNOW RC, 2004, P LEAD LITT NAT C EX 46833 CURNOW RC, 2005, P 4 S PAC STORMW C 3 46834 LEHNER PH, 1999, STROMWATER STRATEGIE 46835 MORISON P, 2002, P 9 INT C URB DRAIN 46836 TAYLOR AC, 2000, P HYDR 2000 3 INT HY, P869 46837 TAYLOR AC, 2002, 0213 COOP RES CTR CA 46838 TAYLOR AC, 2005, 0314 COOP RES CTR CA 46839 TAYLOR AC, 2005, 0510 COOP RES CTR CA 46840 NR 17 46841 TC 0 46842 PU ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD 46843 PI LONDON 46844 PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND 46845 SN 0301-4797 46846 J9 J ENVIRON MANAGE 46847 JI J. Environ. Manage. 46848 PD AUG 46849 PY 2007 46850 VL 84 46851 IS 3 46852 BP 323 46853 EP 335 46854 PG 13 46855 SC Environmental Sciences; Environmental Studies 46856 GA 188FU 46857 UT ISI:000247905600009 46858 ER 46859 46860 PT J 46861 AU Blew, BDM 46862 Dagnone, AJ 46863 Fazio, LM 46864 Pace, KT 46865 Honey, RJD 46866 AF Blew, Brian D. M. 46867 Dagnone, A. Joel 46868 Fazio, Luke M. 46869 Pace, Kenneth T. 46870 Honey, R. John D'A. 46871 TI Practical comparison of four nitinol stone baskets 46872 SO JOURNAL OF ENDOUROLOGY 46873 LA English 46874 DT Article 46875 ID POLE RENAL CALCULI; DESIGNS IN-VITRO; URETEROSCOPIC MANAGEMENT; 46876 RETRIEVAL CAPABILITIES; TIPLESS; MODEL 46877 AB Background and Purpose: The use of stone baskets for repositioning of 46878 stones or removal of fragment in conjunction with ureterorenoscopy has 46879 become widespread. We tested the performance of the ACMI Sur-Catch NT, 46880 Bard Dimension, Boston Scientific Zero-tip, and Cook N-Circle in a pig 46881 kidney model of flexible ureterorenoscopy. 46882 Materials and Methods: Opening characteristics of the basket were 46883 measured with mechanical calipers at 1-mm increments and compared with 46884 published reports to ensure the tested baskets were representative. Pig 46885 kidneys were placed in a basin and the ureters secured with a suture to 46886 a weight for stability. Flexible renoscopy was performed using a 16F 46887 flexible cystonephroscope. An 8-mm calculus was placed in the lower 46888 pole. Using each of four designs, the time necessary to grasp the 46889 stone, time to release the stone, and total time to move a stone from 46890 the lower-pole calix to the upper-pole were recorded. Total time 46891 experiments were repeated six times with each basket by three surgeons 46892 for a total of 18 attempts, and catch-and-release experiments were 46893 repeated six times by four surgeons for a total of 24 attempts per 46894 basket. 46895 Results: The Sur-Catch was significantly slower for catch and release 46896 (P < 0.001) and total time; P < 0.05) compared with all other baskets. 46897 There were no differences between the other baskets in either catch, 46898 release, or total times. There was no difference between surgeons (P < 46899 0.0634) or between attempts one through six (P = 0.538). 46900 Conclusions: Baskets with added complexity of the wire configurations 46901 (Sur-Catch) or a deflectable-wire mechanism (Dimension) offer no 46902 advantages and may slow capture and release of stones. 46903 C1 Univ Toronto, St Michaels Hosp, Dept Surg, Toronto, ON M5B 1W8, Canada. 46904 Queensway Profess Ctr, Etobicoke, ON, Canada. 46905 RP Honey, RJD, Univ Toronto, St Michaels Hosp, Dept Surg, Toronto, ON M5B 46906 1W8, Canada. 46907 EM honeyj@smh.toronto.on.ca 46908 CR AUGE BK, 2001, J ENDOUROL, V15, P835 46909 CHENVEN ES, 2005, J ENDOUROL, V19, P204 46910 ELGABRY EA, 1999, J ENDOUROL, V13, P305 46911 GALLENTINE ML, 2001, J ENDOUROL, V15, P911 46912 HONEY RJD, 1998, J ENDOUROL, V12, P529 46913 KOURAMBAS J, 2000, UROLOGY, V56, P935 46914 LUKASEWYCZ S, 2004, J UROLOGY, V172, P562 46915 LUKASEWYCZ S, 2004, UROLOGY, V64, P435 46916 MONGA M, 2004, UROLOGY, V63, P1042 46917 PTASHNYK T, 2002, EUR UROL, V41, P406 46918 NR 10 46919 TC 0 46920 PU MARY ANN LIEBERT INC 46921 PI NEW ROCHELLE 46922 PA 140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA 46923 SN 0892-7790 46924 J9 J ENDOUROL 46925 JI J. Endourol. 46926 PD JUN 46927 PY 2007 46928 VL 21 46929 IS 6 46930 BP 655 46931 EP 658 46932 PG 4 46933 SC Urology & Nephrology 46934 GA 190SM 46935 UT ISI:000248079700018 46936 ER 46937 46938 PT J 46939 AU Macdonald, KA 46940 McNaughton, LR 46941 Verkerk, GA 46942 Penno, JW 46943 Burton, LJ 46944 Berry, DP 46945 Gore, PJS 46946 Lancaster, JAS 46947 Holmes, CW 46948 AF Macdonald, K. A. 46949 McNaughton, L. R. 46950 Verkerk, G. A. 46951 Penno, J. W. 46952 Burton, L. J. 46953 Berry, D. P. 46954 Gore, P. J. S. 46955 Lancaster, J. A. S. 46956 Holmes, C. W. 46957 TI A comparison of three strains of Holstein-Friesian cows grazed on 46958 pasture: Growth, development, and puberty 46959 SO JOURNAL OF DAIRY SCIENCE 46960 LA English 46961 DT Article 46962 DE strain; Holstein-Friesian; body weight; body size 46963 ID BODY CONDITION SCORE; GRAZING DAIRY-COWS; MILK-PRODUCTION; 46964 REPRODUCTIVE-PERFORMANCE; GENETIC-RELATIONSHIPS; FEEDING LEVEL; WEIGHT; 46965 HEIFERS; FERTILITY; YIELD 46966 AB With the introduction of a protein milk payment system in New Zealand 46967 in 1988, there was an influx of North American (NA) Holstein-Friesian 46968 (HF) genetics into New Zealand (NZ) dairy herds, leading to an increase 46969 in the average percentage of NA genetics in NZ HF cows-from 2% in 1980 46970 to 38% in 1999. Of interest has been the effect this change has had on 46971 farm profitability and on the management required for these animals, as 46972 well as the phenotypic changes that have occurred within the national 46973 herd under the breeding programs operated in NZ from 1970 to 1990. The 46974 objective of this study was to quantify differences in body dimensions, 46975 body weights, and puberty- related parameters among 3 strains of HF, 46976 representing animals of NZ origin representative of the genetics 46977 present in 1970 and 1990 and of NA origin with 1990s genetics. A total 46978 of 172 animals born in 1999 were compared. The strains were 1) NZ70, a 46979 strain of NZ Friesian (average 7% NA genetics) equivalent to 46980 high-genetic-merit (high Breeding Worth) cows farmed in the 1970s; 2) 46981 NZ90, a strain of HF of NZ origin (average 24% NA genetics) typical of 46982 the animals present in the 1990s; and 3) NA90, a strain of HF of NA 46983 origin (average of 91% NA genetics) typical of animals present in the 46984 1990s. The differences in BW among all strains were significant at 6 46985 and 12 mo of age. At 15 and 24 mo, the 2 NZ strains were significantly 46986 lighter than the NA90 animals. At 24 mo of age (i. e., prior to first 46987 calving), the NA90 strain animals (BW = 515 kg) were 22 and 34 kg 46988 heavier than the NZ90 and NZ70 strains. The body length of the NA90 46989 strain was greater than either of the 2 NZ strains; the differences 46990 among the NA90 strain and the 2NZ strains varied from 2 to 6 cm, with 46991 the differences generally being greater at older ages. The trend in 46992 heart girth difference among strains was similar to that observed for 46993 body length. The wither height of the NA90 animals was greater than 46994 that of the NZ strains by 1 to 7 cm, although there was no significant 46995 difference between the NA90 and NZ90 strains at birth. At puberty the 46996 NA90 heifers were 20 d older and 20 kg heavier than the NZ90 heifers, 46997 which in turn were 25 kg and 25 d older than the NZ70 heifers. The NA90 46998 strain had a heavier mature body weight, and their older age at puberty 46999 suggested either that they mature later or that, under pastoral 47000 conditions, their growth rate is limited by their inability to consume 47001 sufficient metabolizable energy as grazed pasture, with a consequent 47002 delay in puberty. Results from this study will be useful in revising 47003 target BW in growing heifers of different germplasm. 47004 C1 Dexcel, Hamilton, New Zealand. 47005 LIC, Hamilton, New Zealand. 47006 TEAGASC, Moorepk Prod Res Ctr, Dairy Prod Dept, Fermoy, Cork, Ireland. 47007 Massey Univ, Inst Vet Anim & Biomed Sci, Palmerston North, New Zealand. 47008 RP Macdonald, KA, Dexcel, Private Bag 3221, Hamilton, New Zealand. 47009 EM Kevin.macdonald@dexcel.co.nz 47010 CR *SAS I, 2005, SAS US GUID VERS 8 0 47011 BERRY DP, 2003, J DAIRY SCI, V86, P2193 47012 BERRY DP, 2004, IRISH J AGR FOOD RES, V43, P161 47013 BERRY DP, 2005, ANIM SCI 2, V80, P151 47014 BRYANT JR, 2004, P NZ SOC ANIM PROD, V64, P118 47015 BYERLEY DJ, 1987, J ANIM SCI, V65, P645 47016 FOSTER DL, 1994, PHYSL REPRODUCTION, V2, P411 47017 GALLO L, 2001, J DAIRY SCI, V84, P2321 47018 GARCIAMUNIZ JG, 1998, THESIS MASSEY U PALM 47019 HAFEZ ESE, 2000, REPROD FARM ANIMALS, P55 47020 HARRIS BL, 2001, J DAIRY SCI S, V84, E56 47021 HEINRICHS AJ, 1987, J DAIRY SCI, V70, P653 47022 HEINRICHS AJ, 1993, J DAIRY SCI, V76, P3179 47023 HOLMES CW, 1995, OCC PUB, V19, P51 47024 HOLMES CW, 2002, FEEDING MANAGEMENT H, P119 47025 HORAN B, 2004, ANIM SCI 3, V79, P453 47026 KERTZ AF, 1997, J DAIRY SCI, V80, P525 47027 KOLVER ES, 2000, P N Z SOC ANIM PROD, V60, P264 47028 LEAN I, 1994, CALF COW CARE PROFIT 47029 MACDONALD K, 2004, CONDITION SCORING EA 47030 MACDONALD KA, 1998, P NZ SOC ANIMAL PROD, V58, P132 47031 MACDONALD KA, 2005, J DAIRY SCI, V88, P3363 47032 MACDONALD KA, 2005, P NZ SOC ANIMAL PROD, V65, P40 47033 MCGRATH ME, 2001, P AGR RES FOR TULL I, P46 47034 MCLEAN DM, 1996, P AUSTR SOC ANIMAL P, V21, P72 47035 MCNAUGHTON LR, 2002, P NZ SOC ANIMAL PROD, V62, P30 47036 PENNO J, 1994, P RUAK FARM C, V46, P36 47037 PENNO JW, 1995, PROC NEW ZEAL SOC AN, V55, P79 47038 ROCHE JR, 2006, J DAIRY SCI, V89, P3532 47039 SEJRSEN K, 1997, J ANIM SCI, V75, P828 47040 SPELMAN RJ, 1997, J DAIRY SCI, V80, P2557 47041 NR 31 47042 TC 0 47043 PU AMER DAIRY SCIENCE ASSOC 47044 PI SAVOY 47045 PA 1111 N DUNLAP AVE, SAVOY, IL 61874 USA 47046 SN 0022-0302 47047 J9 J DAIRY SCI 47048 JI J. Dairy Sci. 47049 PD AUG 47050 PY 2007 47051 VL 90 47052 IS 8 47053 BP 3993 47054 EP 4003 47055 PG 11 47056 SC Agriculture, Dairy & Animal Science; Food Science & Technology 47057 GA 190UG 47058 UT ISI:000248085500049 47059 ER 47060 47061 PT J 47062 AU Chagas, LM 47063 Bass, JJ 47064 Blache, D 47065 Burke, CR 47066 Kay, JK 47067 Lindsay, DR 47068 Lucy, MC 47069 Martin, GB 47070 Meier, S 47071 Rhodes, FM 47072 Roche, JR 47073 Thatcher, WW 47074 Webb, R 47075 AF Chagas, L. M. 47076 Bass, J. J. 47077 Blache, D. 47078 Burke, C. R. 47079 Kay, J. K. 47080 Lindsay, D. R. 47081 Lucy, M. C. 47082 Martin, G. B. 47083 Meier, S. 47084 Rhodes, F. M. 47085 Roche, J. R. 47086 Thatcher, W. W. 47087 Webb, R. 47088 TI New perspectives on the roles of nutrition and metabolic priorities in 47089 the subfertility of high-producing dairy cows 47090 SO JOURNAL OF DAIRY SCIENCE 47091 LA English 47092 DT Article 47093 DE subfertility; high-producing dairy cow 47094 ID BODY CONDITION SCORE; POSTPARTUM ANOVULATORY INTERVALS; 47095 HOLSTEIN-FRIESIAN COWS; GROWTH-FACTOR SYSTEM; MILK-PRODUCTION; 47096 IN-VITRO; REPRODUCTIVE-PERFORMANCE; EARLY LACTATION; ENERGY-BALANCE; 47097 HEALTH TRAITS 47098 AB Management, nutrition, production, and genetics are the main reasons 47099 for the decline in fertility in the modern dairy cow. Selection for the 47100 single trait of milk production with little consideration for traits 47101 associated with reproduction in the modern dairy cow has produced an 47102 antagonistic relationship between milk yield and reproductive 47103 performance. The outcome is a multifactorial syndrome of subfertility 47104 during lactation; thus, to achieve a better understanding and derive a 47105 solution, it is necessary to integrate a range of disciplines, 47106 including genetics, nutrition, immunology, molecular biology, 47107 endocrinology, metabolic and reproductive physiology, and animal 47108 welfare. The common theme underlying the process is a link between 47109 nutritional and metabolic inputs that support complex interactions 47110 between the gonadotropic and somatotropic axes. Multiple hormonal and 47111 metabolic signals from the liver, pancreas, muscle, and adipose tissues 47112 act on brain centers regulating feed intake, energy balance, and 47113 metabolism. Among these signals, glucose, fatty acids, insulin-like 47114 growth factor-I, insulin, growth hormone, ghrelin, leptin, and perhaps 47115 myostatin appear to play key roles. Many of these factors are affected 47116 by changes in the somatotropic axis that are a consequence of, or are 47117 needed to support, high milk production. Ovarian tissues also respond 47118 directly to metabolic inputs, with consequences for folliculogenesis, 47119 steroidogenesis, and the development of the oocyte and embryo. Little 47120 doubt exists that appropriate nutritional management before and after 47121 calving is essential for successful reproduction. Changes in body 47122 composition are related to the processes that lead to ovulation, 47123 estrus, and conception. However, better indicators of body composition 47124 and measures of critical metabolites are required to form precise 47125 nutritional management guidelines to optimize reproductive outcomes. 47126 The eventual solution to the reduction in fertility will be a new 47127 strategic direction for genetic selection that includes 47128 fertility-related traits. However, this will take time to be effective, 47129 so, in the short term, we need to gain a greater understanding of the 47130 interactions between nutrition and fertility to better manage the 47131 issue. A greater understanding of the phenomenon will also provide 47132 markers for more targeted genetic selection. This review highlights 47133 many fruitful directions for research, aimed at the development of 47134 strategies for nutritional management of reproduction in the 47135 high-producing subfertile dairy cow. 47136 C1 Dexel, Hamilton, New Zealand. 47137 Univ Auckland, Liggins Inst, Auckland 1003, New Zealand. 47138 Univ Western Australia, Sch Anim Biol, Crawley 6009, Australia. 47139 Univ Missouri, Div Anim Sci, Columbia, MO 65211 USA. 47140 Univ Tasmania, Hobart 7320, Australia. 47141 Univ Florida, Dept Anim Sci, Gainesville, FL 32610 USA. 47142 Univ Nottingham, Sch Biosci, Div Agr & Environm Sci, Loughborough LE12 5RD, Leics, England. 47143 RP Chagas, LM, Dexel, Private Bag 3221, Hamilton, New Zealand. 47144 EM lucia.chagas@dexcel.co.nz 47145 CR *NAT RES COUNC, 2001, NUTR REQUIRMENTS DAI 47146 ADAMIAK SJ, 2005, BIOL REPROD, V73, P918 47147 ADAMIAK SJ, 2006, REPRODUCTION, V131, P247 47148 AMBROSE DJ, 2006, J DAIRY SCI, V89, P3066 47149 ANDREW SM, 1994, J DAIRY SCI, V77, P3022 47150 ARMSTRONG DG, 2001, BIOL REPROD, V64, P1624 47151 ARMSTRONG DG, 2002, REPRODUCTION, V123, P371 47152 ARMSTRONG DG, 2003, REPROD S, V61, P403 47153 AUGUSTIN R, 2003, REPRODUCTION, V126, P91 47154 BAILE CA, 1987, J DAIRY SCI, V70, P467 47155 BARTNESS TJ, 2005, P NUTR SOC, V64, P53 47156 BAUMAN DE, 1980, J DAIRY SCI, V63, P1514 47157 BAUMGARD LH, 2005, P NZ SOC ANIM PROD, V65, P33 47158 BEAM SW, 1999, J REPROD FERTILITY S, V54, P411 47159 BERRY DP, 2003, J DAIRY SCI, V86, P2193 47160 BILBY TR, 2006, J DAIRY SCI, V89, P3360 47161 BLACHE D, 2006, REPROD NUTR DEV, V46, P379 47162 BLACHE D, 2007, REPROD SUPPL, V64, P124 47163 BOKEN SL, 2005, J DAIRY SCI, V88, P4258 47164 BORWICK SC, 1997, REPROD FERT DEVELOP, V9, P711 47165 BUCKLEY F, 2003, J DAIRY SCI, V86, P2308 47166 BURKE CR, 1995, PROC NEW ZEAL SOC AN, V55, P76 47167 BURKE CR, 2005, P NZ SOC ANIMAL PROD, V65, P221 47168 BURKE CR, 2006, P N Z SOC ANIM PROD, V66, P334 47169 BUTLER WR, 1989, J DAIRY SCI, V72, P767 47170 CANFIELD RW, 1990, J DAIRY SCI, V73, P2342 47171 CHAGAS LM, 2006, J DAIRY SCI, V89, P1981 47172 CHAGAS LM, 2007, J DAIRY SCI, V90, P1168 47173 CHAGAS LM, 2007, P NZ SOC ANIM PROD, V67, P255 47174 COLLARD BL, 2000, J DAIRY SCI, V83, P2683 47175 DISKIN MG, 2003, ANIM REPROD SCI, V78, P345 47176 FLINT APF, 2004, P BRIT CATTL C, P59 47177 FOULADINASHTA AA, 2005, BIOL REPROD, V70 47178 FOULADINASHTA AA, 2006, REPRODUCTION, V131, P449 47179 GARNSWORTHY PC, 1982, ANIM PROD, V35, P113 47180 GARNSWORTHY PC, 2006, RECENT ADV ANIMAL NU, P61 47181 GIBB MJ, 1992, ANIM PROD, V55, P339 47182 GOFF JP, 2006, J DAIRY SCI, V89, P1292 47183 GONG JG, 1991, BIOL REPROD, V45, P941 47184 GONG JG, 2002, REPRODUCTION, V123, P419 47185 GRAINGER C, 1982, AUST J EXP AGR ANIM, V22, P9 47186 GUTIERREZ CG, 1997, BIOL REPROD, V56, P608 47187 GUTIERREZ CG, 2000, BIOL REPROD, V62, P1322 47188 GUTIERREZ CG, 2006, ANIM REPROD SCI, V95, P193 47189 HARRIS BL, 2001, NZ J DAIRY SCI S, V84, E56 47190 HARRIS BL, 2005, MULTIPLE TRAIL FRETI, P1 47191 HORAN B, 2004, ANIM SCI 3, V79, P453 47192 KACSOH B, 2000, ENDOCRINE PHYSL 47193 KADOKAWA H, 2006, J REPROD DEVELOP, V52, P161 47194 KENDALL NR, 2004, REPRODUCTION, V128, P757 47195 KOLVER ES, 2006, P N Z SOC ANIM PROD, V66, P403 47196 LAMOTE I, 2004, STEROIDS, V69, P145 47197 LEE SJ, 2004, ANNU REV CELL DEV BI, V20, P61 47198 LOPEZ H, 2004, ANIM REPROD SCI, V81, P209 47199 LUCY MC, 2003, REPROD S, V61, P415 47200 LUCY MC, 2007, REPROD SUPPL, V64, P237 47201 LYONS DT, 1991, J DAIRY SCI, V74, P1092 47202 MACDONALD KA, 1999, P NZ SOC ANIMAL PROD, V59, P177 47203 MACDONALD KA, 2004, CONDITION SCORING DA, P4 47204 MCNEILL RE, 2006, THERIOGENOLOGY, V65, P1435 47205 MCNEILLY AS, 2001, REPROD FERT DEVELOP, V13, P583 47206 MITCHELL MD, 2006, J CLIN ENDOCR METAB, V91, P1434 47207 NICHOLAS B, 2005, BIOL REPROD, V72, P796 47208 OKAMURA H, 2007, ANIM SCI J, V78, P105 47209 PFAFF D, 2005, J ENDOCRINOL, V184, P447 47210 PHILIPSSON J, 2003, LIVEST PROD SCI, V83, P99 47211 RAE MT, 2001, REPRODUCTION, V122, P915 47212 RAWSON JA, 2001, J NEUROENDOCRINOL, V13, P129 47213 RHIND SM, 1998, SMALL RUMINANT RES, V30, P121 47214 RHODES FM, 2003, REPROD FERT DEVELOP, V15, P11 47215 ROCHE JF, 2006, ANIM REPROD SCI, V96, P282 47216 ROCHE JR, 2004, J DAIRY SCI, V87, P3076 47217 ROCHE JR, 2006, J DAIRY SCI, V89, P3532 47218 ROCHE JR, 2007, J DAIRY SCI, V90, P376 47219 ROYAL MD, 2000, ANIM SCI 3, V70, P487 47220 ROYAL MD, 2002, J DAIRY SCI, V85, P3071 47221 SINCLAIR KD, 2000, J ANIM SCI, V78, P2670 47222 SINCLAIR KD, 2005, CALF HEIFER REARING, P277 47223 SOTIROPOULOS A, 2006, P NATL ACAD SCI USA, V103, P7315 47224 SPICER LJ, 1998, BIOL REPROD, V58, P207 47225 SPICER LJ, 2004, MOL CELL ENDOCRINOL, V227, P1 47226 STAPLES CR, 1998, J DAIRY SCI, V81, P856 47227 STRASSMAN G, 2002, 20020031517, US 47228 TENASEMPERE M, 2005, GROWTH HORM IGF RES, V15, P83 47229 UNDERWOOD EJ, 2001, MINERAL NUTR LIVESTO 47230 WADE GN, 2004, AM J PHYSIOL-REG I, V287, R1277 47231 WALTNER SS, 1993, J DAIRY SCI, V76, P3410 47232 WATSON AJ, 1999, J REPROD FERTIL S, V54, P303 47233 WEBB R, 2003, REPROD S, V61, P71 47234 WEBB, 2004, J ANIM SCI S, V82, E63 47235 WILTBANK M, 2006, THERIOGENOLOGY, V65, P17 47236 WRIGHT IA, 1984, ANIM PROD, V38, P23 47237 WYNNE K, 2005, J ENDOCRINOL, V184, P291 47238 ZIEBA DA, 2005, DOMEST ANIM ENDOCRIN, V29, P166 47239 ZIMMERS TA, 2002, SCIENCE, V296, P1486 47240 NR 95 47241 TC 0 47242 PU AMER DAIRY SCIENCE ASSOC 47243 PI SAVOY 47244 PA 1111 N DUNLAP AVE, SAVOY, IL 61874 USA 47245 SN 0022-0302 47246 J9 J DAIRY SCI 47247 JI J. Dairy Sci. 47248 PD SEP 47249 PY 2007 47250 VL 90 47251 IS 9 47252 BP 4022 47253 EP 4032 47254 PG 11 47255 SC Agriculture, Dairy & Animal Science; Food Science & Technology 47256 GA 200AX 47257 UT ISI:000248737400002 47258 ER 47259 47260 PT J 47261 AU Kehoe, SI 47262 Jayarao, BM 47263 Heinrichs, AJ 47264 AF Kehoe, S. I. 47265 Jayarao, B. M. 47266 Heinrichs, A. J. 47267 TI A survey of bovine colostrum composition and colostrum management 47268 practices on Pennsylvania dairy farms 47269 SO JOURNAL OF DAIRY SCIENCE 47270 LA English 47271 DT Article 47272 DE colostrum composition; colostrum management; dairy calf; Pennsylvania 47273 ID PERFORMANCE LIQUID-CHROMATOGRAPHY; BETA-CAROTENE; HEIFER MANAGEMENT; 47274 ALPHA-TOCOPHEROL; NEWBORN CALVES; HOLSTEIN COWS; VITAMIN-A; CALF; 47275 LACTOFERRIN; HERDS 47276 AB Colostrum composition and management were surveyed via sample and data 47277 collection from 55 dairy farms in Pennsylvania. Colostrum samples were 47278 analyzed for fat, protein, lactose, total solids, ash, Ig, lactoferrin, 47279 water- and fat-soluble vitamins, and minerals. Mean percentages of fat, 47280 protein, and lactose in colostrum were 6.7, 14.9, and 2.5, 47281 respectively. Concentrations of IgG(1), IgG(2), IgA, IgM, and 47282 lactoferrin were 35.0, 6.0, 1.7, 4.3, and 0.8 mg/mL, respectively. Mean 47283 concentrations of fat-soluble vitamins, including retinol, tocopherol, 47284 and beta-carotene, were 4.9, 2.9, and 0.7 mu g/g, respectively. Mean 47285 concentrations of water- soluble vitamins were 0.34, 0.90, 4.55, 0.60, 47286 0.15, 0.21, and 0.04 mu g/mL for niacin, thiamine, riboflavin, vitamin 47287 B-12, pyridoxal, pyridoxamine, and pyridoxine, respectively. Mean 47288 concentrations (mg/kg) of selected minerals in colostrum were also 47289 determined (Ca 4,716; P 4,452; Mg 733; Na 1,058; K 2,845; Zn 38; Fe 47290 5.3; Cu 0.3; S 2,595; and Mn 0.1). The findings of this study revealed 47291 that the mean concentrations of most nutrients in colostrum have 47292 increased when compared with values previously reported. Results also 47293 showed that management practices have improved over time, particularly 47294 with regard to colostrum storage and feeding. Additionally, we observed 47295 that herd size influenced colostrum management and quality. It can be 47296 inferred, based on these findings, that although improvements have been 47297 made with regard to colostrum management and quality, there is still a 47298 need to educate producers on issues related to storage and timely 47299 feeding of colostrum to increase passive transfer and decrease the rate 47300 of calf morbidity and mortality. 47301 C1 Penn State Univ, Dept Dairy & Anim Sci, University Pk, PA 16802 USA. 47302 Penn State Univ, Dept Vet & Biomed Sci, University Pk, PA 16802 USA. 47303 RP Heinrichs, AJ, Penn State Univ, Dept Dairy & Anim Sci, University Pk, 47304 PA 16802 USA. 47305 EM ajh@psu.edu 47306 CR *AOAC, 1975, OFF METH AN 47307 *SAS I, 2002, US GUID STAT 47308 *US EPA, 1986, TEST METH EV SOL WAS, V1 47309 *USDA, 2002, REF DAIR CATT HLTH 1 47310 *USDA, 2003, PENNS AGR STAT REP 47311 ALBALAHURTADO S, 1997, J CHROMATOGR A, V778, P247 47312 ARNAUD J, 1991, J CHROMATOGR-BIOMED, V572, P103 47313 CARSTENS GE, 1987, J ANIM SCI, V65, P745 47314 DIETZ RE, 2003, J ANIM SCI, V81, P885 47315 EITENMILLER RR, 1999, VITAMIN ANAL HLTH FO 47316 FOLEY JA, 1978, J DAIRY SCI, V61, P1033 47317 HALLIDAY R, 1978, RES VET SCI, V24, P26 47318 HEINRICHS AJ, 1987, J DAIRY SCI, V70, P896 47319 HEINRICHS AJ, 1994, J DAIRY SCI, V77, P338 47320 JOHNSTON LA, 1984, J DAIRY SCI, V67, P1832 47321 KUME S, 1993, J DAIRY SCI, V76, P1654 47322 MASSEYEFF RF, 1969, ANAL BIOCHEM, V30, P180 47323 MASSON PL, 1971, COMP BIOCHEM PHYS B, V39, P119 47324 PARRISH DB, 1950, J DAIRY SCI, V33, P457 47325 PORTER P, 1972, IMMUNOLOGY, V23, P225 47326 PRITCHETT LC, 1991, J DAIRY SCI, V74, P2336 47327 QUIGLEY JD, 1998, J DAIRY SCI, V81, P2779 47328 ROBBLEE ED, 2003, J DAIRY SCI, V86, P1458 47329 RODERUCK CE, 1945, AM J DIS CHILD, V70, P171 47330 ROY JHB, 1990, CALF, V1 47331 SPEICHER JA, 1973, J AM VET MED ASSOC, V162, P463 47332 SPIELMAN AA, 1946, J DAIRY SCI, V29, P707 47333 STEWART J, 1938, J AGR SCI 3, V28, P428 47334 SVENSSON C, 2003, PREV VET MED, V58, P179 47335 TELES FFF, 1978, J DAIRY SCI, V61, P506 47336 TSUJI S, 1990, J DAIRY SCI, V73, P125 47337 WEAVER DM, 2000, J VET INTERN MED, V14, P569 47338 WEHR HM, 2004, STANDARD METHODS EXA 47339 WEISS WP, 1990, J DAIRY SCI, V73, P3187 47340 YOSHIDA A, 2000, J DAIRY SCI, V83, P2211 47341 ZABIELSKI R, 1999, REPROD NUTR DEV, V39, P5 47342 ZANKER IA, 2000, INT J VITAM NUTR RES, V70, P305 47343 NR 37 47344 TC 0 47345 PU AMER DAIRY SCIENCE ASSOC 47346 PI SAVOY 47347 PA 1111 N DUNLAP AVE, SAVOY, IL 61874 USA 47348 SN 0022-0302 47349 J9 J DAIRY SCI 47350 JI J. Dairy Sci. 47351 PD SEP 47352 PY 2007 47353 VL 90 47354 IS 9 47355 BP 4108 47356 EP 4116 47357 PG 9 47358 SC Agriculture, Dairy & Animal Science; Food Science & Technology 47359 GA 200AX 47360 UT ISI:000248737400012 47361 ER 47362 47363 PT J 47364 AU Drillich, M 47365 Klever, N 47366 Heuwieser, W 47367 AF Drillich, M. 47368 Klever, N. 47369 Heuwieser, W. 47370 TI Comparison of two management strategies for retained fetal membranes on 47371 small dairy farms in Germany 47372 SO JOURNAL OF DAIRY SCIENCE 47373 LA English 47374 DT Article 47375 DE retained fetal membrane; treatment strategy; reproductive performance 47376 ID SYSTEMIC ANTIBIOTIC-TREATMENT; TOXIC PUERPERAL METRITIS; 47377 REPRODUCTIVE-PERFORMANCE; CEFTIOFUR HYDROCHLORIDE; ESTRADIOL CYPIONATE; 47378 COWS; PLACENTA; OXYTETRACYCLINE; EFFICACY; DISEASE 47379 AB The objective of this study was to compare 2 strategies for the 47380 management of dairy cows having retained fetal membranes (RFM) with 47381 regard to clinical traits, milk yield, and reproductive performance. In 47382 contrast to recent studies evaluating optimal strategies for the 47383 management of cows with RFM, this trial was conducted on small dairy 47384 farms with 26 to 166 cows per herd. In the systemic (SYS) group (n = 47385 116), cows having RFM and a rectal temperature >= 39.5 degrees C were 47386 treated with 1 mg/kg of body weight of ceftiofur on 3 to 5 consecutive 47387 days. The RFM cows without fever remained untreated. In the 47388 intrauterine (IUT) group (n = 115), all RFM cows received an 47389 intrauterine treatment with 6 g of tetracycline on 3 consecutive days 47390 combined with an attempt to remove the fetal membranes manually. The 47391 IUT cows with a fever received an additional systemic treatment with 10 47392 mg/kg of body weight of amoxicillin on 3 to 5 consecutive days. Body 47393 temperature, daily milk yield, prevalence of vaginal discharge 28 to 35 47394 d in milk (DIM), and reproductive performance traits within 200 DIM 47395 were monitored. The proportion of cows experiencing fever within 5 d 47396 after enrollment was greater in SYS compared with IUT. The proportion 47397 of cows with mucopurulent or purulent vaginal discharge 28 to 34 DIM 47398 did not differ between the groups. Furthermore, no significant 47399 differences between groups were found in daily milk yield in the first 47400 10 d after enrollment, or in reproductive performance or proportion of 47401 cows culled. Significant differences in the proportion of cows with a 47402 fever in SYS and IUT have not been reported in studies with similar 47403 study designs conducted on large dairy farms. Further results on milk 47404 yield and reproductive performance, however, support findings that a 47405 management strategy for RFM based on a selective systemic treatment of 47406 feverish cows is at least as efficacious as a strategy based on 47407 intrauterine treatments of all cows and a systemic antibiotic treatment 47408 of feverish cows. 47409 C1 Free Univ Berlin, Fac Vet Med, Clin Anim Reprod, D-14163 Berlin, Germany. 47410 RP Drillich, M, Free Univ Berlin, Fac Vet Med, Clin Anim Reprod, Konigsweg 47411 65, D-14163 Berlin, Germany. 47412 EM author@bestandsbetreuung.de 47413 CR BOLINDER A, 1988, THERIOGENOLOGY, V30, P45 47414 CHENAULT JR, 2004, JAVMA-J AM VET MED A, V224, P1634 47415 CORREA MT, 1993, J DAIRY SCI, V76, P1305 47416 DINSMORE RP, 1996, J AM VET MED ASSOC, V209, P1753 47417 DRILLICH M, 2001, J DAIRY SCI, V84, P2010 47418 DRILLICH M, 2003, THERIOGENOLOGY, V59, P951 47419 DRILLICH M, 2005, DEUT TIERARZTL WOCH, V112, P174 47420 DRILLICH M, 2006, J DAIRY SCI, V89, P1502 47421 DRILLICH M, 2006, J DAIRY SCI, V89, P3431 47422 DRILLICH M, 2006, J DAIRY SCI, V89, P627 47423 EILER H, 1997, CURRENT THERAPY LARG, P340 47424 FOURICHON C, 2000, THERIOGENOLOGY, V53, P1729 47425 GOSHEN T, 2006, THERIOGENOLOGY, V66, P2210 47426 GROHN YT, 2000, ANIM REPROD SCI, V60, P605 47427 KRISTULA M, 2001, BOVINE PR, V35, P117 47428 LAVEN RA, 1995, CATTLE PRACT, V3, P267 47429 LAVEN RA, 1996, VET REC, V139, P465 47430 LEBLANC SJ, 2002, J DAIRY SCI, V85, P2223 47431 OVERTON MW, 2003, J AM VET MED ASSOC, V223, P846 47432 PETERS AR, 1996, VET REC, V139, P535 47433 RISCO CA, 2003, THERIOGENOLOGY, V60, P47 47434 SHELDON IM, 2006, THERIOGENOLOGY, V65, P1516 47435 SMITH BI, 1998, J DAIRY SCI, V81, P1555 47436 STEVENS RD, 1995, J AM VET MED ASSOC, V207, P1612 47437 ZHOU C, 2001, J AM VET MED ASSOC, V219, P805 47438 NR 25 47439 TC 0 47440 PU AMER DAIRY SCIENCE ASSOC 47441 PI SAVOY 47442 PA 1111 N DUNLAP AVE, SAVOY, IL 61874 USA 47443 SN 0022-0302 47444 J9 J DAIRY SCI 47445 JI J. Dairy Sci. 47446 PD SEP 47447 PY 2007 47448 VL 90 47449 IS 9 47450 BP 4275 47451 EP 4281 47452 PG 7 47453 SC Agriculture, Dairy & Animal Science; Food Science & Technology 47454 GA 200AX 47455 UT ISI:000248737400030 47456 ER 47457 47458 PT J 47459 AU Valde, JP 47460 Lystad, ML 47461 Simensen, E 47462 Osteras, O 47463 AF Valde, J. P. 47464 Lystad, M. L. 47465 Simensen, E. 47466 Osteras, O. 47467 TI Comparison of feeding management and body condition of dairy cows in 47468 herds with low and high mastitis rates 47469 SO JOURNAL OF DAIRY SCIENCE 47470 LA English 47471 DT Article 47472 DE mastitis; feeding; body condition score; dairy cow 47473 ID METABOLIC DISORDERS; CONDITION SCORE; UDDER HEALTH; DRY PERIOD; 47474 VITAMIN-E; PERFORMANCE; ASSOCIATION; SELENIUM; YIELD 47475 AB Feeding practices, ration composition, and body condition scores (BCS) 47476 were assessed in an observational casecontrast study of Norwegian dairy 47477 herds with low (n = 98) and high (n = 94) mastitis infection rates. 47478 Differences between the 2 groups of herds were associated with feeding 47479 practices and amount of roughage. More herds in the low-infection group 47480 were fed a reduced amount of roughage at drying off, and reduced 47481 rations during the dry period resulted in lower BCS at calving. Cows in 47482 the low-infection herds had significantly lower BCS in the last month 47483 before calving and the first month of lactation than cows in the 47484 high-infection herds. The significant associations between mastitis 47485 infection rates and BCS, frequency of concentrate feeding, and amount 47486 of roughage at drying off and during the dry period indicated that 47487 feeding practices may have an important influence on the risk of 47488 mastitis in Norwegian dairy cows. 47489 C1 Norwegian Coll Vet Med, Dept Prod Anim Med, N-0033 Oslo, Norway. 47490 TINE Norwegian Dairies, Dept Cattle Hlth Serv, N-1431 As, Norway. 47491 Norwegian Meat Res Ctr, N-0513 Oslo, Norway. 47492 RP Valde, JP, Norwegian Coll Vet Med, Dept Prod Anim Med, N-0033 Oslo, 47493 Norway. 47494 EM jpvalde@online.no 47495 CR *SAS I, 1990, SAS STAT US GUID VER 47496 BOISCLAIR Y, 1984, J DAIRY SCI S1, V67, P100 47497 DINGWELL RT, 2004, PREV VET MED, V63, P75 47498 EDMONSON AJ, 1989, J DAIRY SCI, V72, P68 47499 FAYE B, 1998, VET RES, V29, P31 47500 FRONK TJ, 1980, J DAIRY SCI, V63, P1080 47501 GARNSWORTHY PC, 1982, ANIM PROD, V35, P113 47502 GEARHART MA, 1990, J DAIRY SCI, V73, P3132 47503 GILLUND P, 1999, NORSK VETERINAER TID, V10, P623 47504 GOFF JP, 1997, J DAIRY SCI, V80, P1260 47505 GOODGER WJ, 1993, PREV VET MED, V15, P235 47506 HOGAN JS, 1993, J DAIRY SCI, V76, P2795 47507 MARKUSFELD O, 1997, VET REC, V141, P67 47508 MCDERMOTT JJ, 1994, PREV VET MED, V18, P155 47509 MORGENSTERN H, 1982, AM J PUBLIC HEALTH, V72, P1336 47510 RIEMANN HP, 1985, ACTA VET SCAND, V26, P482 47511 RUEGG PL, 1995, J DAIRY SCI, V78, P552 47512 SALONIEMI H, 1980, J SCI AGR SOC FINL, V52, P85 47513 SMITH KL, 1984, J DAIRY SCI, V67, P1293 47514 TREACHER RJ, 1986, ANIM PROD, V43, P1 47515 VALDE JP, 2005, J DAIRY SCI, V88, P86 47516 NR 21 47517 TC 0 47518 PU AMER DAIRY SCIENCE ASSOC 47519 PI SAVOY 47520 PA 1111 N DUNLAP AVE, SAVOY, IL 61874 USA 47521 SN 0022-0302 47522 J9 J DAIRY SCI 47523 JI J. Dairy Sci. 47524 PD SEP 47525 PY 2007 47526 VL 90 47527 IS 9 47528 BP 4317 47529 EP 4324 47530 PG 8 47531 SC Agriculture, Dairy & Animal Science; Food Science & Technology 47532 GA 200AX 47533 UT ISI:000248737400036 47534 ER 47535 47536 PT J 47537 AU Roche, JR 47538 Berry, DP 47539 Lee, JM 47540 Macdonald, KA 47541 Boston, RC 47542 AF Roche, J. R. 47543 Berry, D. P. 47544 Lee, J. M. 47545 Macdonald, K. A. 47546 Boston, R. C. 47547 TI Describing the body condition score change between successive calvings: 47548 A novel strategy generalizable to diverse cohorts 47549 SO JOURNAL OF DAIRY SCIENCE 47550 LA English 47551 DT Article 47552 DE body condition score; model; profile; nutrition 47553 ID 1ST 3 LACTATIONS; DAIRY-COWS; ENERGY-BALANCE; MILK-YIELD; RANDOM 47554 REGRESSION; HOLSTEIN COWS; WEIGHT; PERFORMANCE; PROFILES; SYSTEMS 47555 AB The objective of this study was to explore the derivation of a 47556 mathematical model that adequately describes the intercalving body 47557 condition score (BCS) profile in dairy cows and is robust and 47558 applicable to different animal cohorts. The data used to generate the 47559 function were 75,352 daily BCS records across 3,209 lactations in 1,172 47560 cows from a research herd in New Zealand. Mean daily BCS (scale 1 to 47561 10) across all data were plotted and 4 distinct phases were observed. 47562 The functional form used to describe the pattern and quantify its 47563 features comprised the sum of the 4 phase functions created from 47564 intercepts, rates of change, approximate timing of phase transition 47565 points, and the sharpness of these transition points in the BCS 47566 profile. The generality and applicability of the described model were 47567 tested across substrata of BCS at calving and parity. A second data set 47568 consisting of a multiyear study comparing cows fed a total mixed ration 47569 (TMR) or grazing fresh pasture was compiled from a different research 47570 farm. This data set consisted of 4,112 BCS records from 211 lactations 47571 on 95 cows. The third data set was a collation of data from another 47572 multiyear experiment comparing animal performance under different 47573 stocking rates. The data set consisted of 12,414 BCS test-day records 47574 on 564 lactations from 287 cows. The presented model is robust and 47575 applicable to different animal cohorts, explaining between 29 and 79% 47576 of variation depending on the cohort studied. Anotable second period of 47577 negative energy balance was evident in all grazing cows during 47578 midlactation, irrespective of calving BCS, parity, or stocking rate, 47579 but did not appear in cows fed TMR. The amount of BCS lost postcalving 47580 and nadir BCS were positively correlated with calving BCS, with fatter 47581 cows at calving losing more BCS postcalving but remaining at a greater 47582 BCS at nadir. Primiparous cows calved at a greater BCS than multiparous 47583 cows, as dictated by management protocols, but they failed to regain 47584 BCS postnadir as effectively as their multiparous counterparts. Results 47585 may highlight the need for preferential feeding of younger cows during 47586 late lactation, at least in grazing systems, to ensure that they 47587 achieve the required calving BCS at second calving. Cows receiving TMR 47588 lost BCS at a slower rate than cows on pasture but for a longer period; 47589 the amount of BCS lost between calving and nadir did not differ between 47590 the different feeding treatments. Calving BCS declined with increasing 47591 stocking rate, and the rates of both loss and gain were negatively 47592 affected by stocking rate. The presented model accurately identified 47593 biological attributes of the intercalving BCS profile of different 47594 groups of cows. 47595 C1 Dexcel, Hamilton, New Zealand. 47596 Teagasc Moorepark, Fermoy, Cork, Ireland. 47597 Univ Penn, New Bolton Ctr, Dept Clin Studies, Kennett Sq, PA 19104 USA. 47598 RP Roche, JR, Univ Tasmania, POB 3523, Burnie, Tas 7320, Australia. 47599 EM john.roche@utas.edu.au 47600 CR *STATACORP, 2005, STAT 9 0 SOC SCI NET 47601 BANOS G, 2005, J DAIRY SCI, V88, P2226 47602 BAUMAN DE, 1980, J DAIRY SCI, V63, P1514 47603 BEAM SW, 1998, J DAIRY SCI, V81, P121 47604 BERRY DP, 2003, J DAIRY SCI, V86, P3704 47605 BERRY DP, 2006, LIVEST SCI, V104, P1 47606 BERRY DP, 2007, J DAIRY SCI, V90, P637 47607 BREIER BH, 1988, J ENDOCRINOL, V116, P169 47608 BROSTER WH, 1998, J DAIRY RES, V65, P155 47609 BUCKLEY F, 2003, J DAIRY SCI, V86, P2308 47610 COFFEY MP, 2002, J DAIRY SCI, V85, P2669 47611 DOMECQ JJ, 1997, J DAIRY SCI, V80, P101 47612 FONTANELI RS, 2005, J DAIRY SCI, V88, P1264 47613 FRIGGENS NC, 2004, J DAIRY SCI, V87, P988 47614 GIBB MJ, 1992, ANIM PROD, V55, P339 47615 GROSSMAN M, 1999, J DAIRY SCI, V82, P2192 47616 HOLTER JB, 1990, J DAIRY SCI, V73, P3502 47617 HUBER PJ, 1964, ANN MATH STAT, V35, P73 47618 KOLVER ES, 1998, J DAIRY SCI, V81, P1403 47619 KOLVER ES, 2002, P NZ SOC ANIMAL PROD, V62, P246 47620 MACDONALD KA, 1998, P NZ SOC ANIMAL PROD, V58, P132 47621 MAO IL, 2004, LIVEST PROD SCI, V89, P55 47622 MCGUIRE MA, 1995, J NUTR, V125, P493 47623 ORSINI JA, 2006, J VET PHARMACOL THER, V29, P539 47624 PRYCE JE, 2006, J DAIRY SCI, V89, P4424 47625 ROCHE JR, 2004, J DAIRY SCI, V87, P3076 47626 ROCHE JR, 2006, J DAIRY SCI, V89, P2775 47627 ROCHE JR, 2006, J DAIRY SCI, V89, P3532 47628 ROCHE JR, 2007, J DAIRY SCI, V90, P376 47629 ROCHE JR, 2007, J DAIRY SCI, V90, P3802 47630 STEFANOVSKI D, 2003, METABOLISM, V52, P1153 47631 STPIERRE NR, 2001, J DAIRY SCI, V84, P741 47632 VANSOEST PJ, 1996, P CORN NUTR C FEED M, P1 47633 WALTNER SS, 1993, J DAIRY SCI, V76, P3410 47634 WEIGEL KA, 1992, J DAIRY SCI, V75, P580 47635 WILMINK JBM, 1987, LIVEST PROD SCI, V16, P321 47636 WOOD PDP, 1976, ANIM PROD, V22, P35 47637 NR 37 47638 TC 0 47639 PU AMER DAIRY SCIENCE ASSOC 47640 PI SAVOY 47641 PA 1111 N DUNLAP AVE, SAVOY, IL 61874 USA 47642 SN 0022-0302 47643 J9 J DAIRY SCI 47644 JI J. Dairy Sci. 47645 PD SEP 47646 PY 2007 47647 VL 90 47648 IS 9 47649 BP 4378 47650 EP 4396 47651 PG 19 47652 SC Agriculture, Dairy & Animal Science; Food Science & Technology 47653 GA 200AX 47654 UT ISI:000248737400043 47655 ER 47656 47657 PT J 47658 AU Valeeva, NI 47659 Lam, TJGM 47660 Hogeveen, H 47661 AF Valeeva, N. I. 47662 Lam, T. J. G. M. 47663 Hogeveen, H. 47664 TI Motivation of dairy farmers to improve mastitis management 47665 SO JOURNAL OF DAIRY SCIENCE 47666 LA English 47667 DT Article 47668 DE mastitis management; motivation; conjoint analysis; cluster analysis 47669 ID SOMATIC-CELL COUNTS; CONJOINT-ANALYSIS; MILK QUALITY; BULK MILK; HERDS; 47670 SUGGESTIONS; ECONOMICS; IMPACT 47671 AB The aims of this study were 1) to explore different motivating factors 47672 and to quantify their importance in decisions of farmers on improving 47673 mastitis management, 2) to evaluate different quality payment schemes 47674 as extra incentive mechanisms for farmers, and 3) to link the 47675 motivating factors to farmer characteristics. Data on characteristics 47676 of farmers were obtained through a traditional paper-based 47677 questionnaire (n = 100). Data on the factors motivating farmers to 47678 improve mastitis management were collected in a computer-interactive 47679 mode. Adaptive conjoint analysis was used to investigate perceptions of 47680 farmers of the importance of factors. Factors that are internal to the 47681 farm performance and the individual farmer provided more motivation 47682 than external factors implying esteem and awareness of the whole dairy 47683 sector performance. Internal nonmonetary factors relating to internal 47684 esteem and taking pleasure in healthy animals on the farm were equally 47685 motivating as monetary factors affecting farm economic performance. The 47686 identified difference in perceptions of farmers of importance of extra 47687 financial incentive based on bulk milk somatic cell count (BMSCC) 47688 depending on whether farmers think in terms of quality premium or 47689 penalty for a lower and a higher BMSCC, respectively, suggested that 47690 farmers are expected to be more motivated by a price decrease for milk 47691 with a greater BMSCC than by a price increase for milk with a lower 47692 BMSCC. In this respect, quality penalties were found to be more 47693 effective in motivating farmers than quality premiums. Two-stage 47694 cluster analysis of individual perceptions resulted in 3 distinct 47695 clusters according to motivation of farmers: premium-or 47696 penalty-oriented motivation, motivation to have an efficient 47697 (well-organized) farm that easily complies with regulatory 47698 requirements, and basic economic motivation. The obtained results 47699 highlight possible areas of improvement in incentive and educational 47700 programs aimed at improving mastitis management. 47701 C1 Univ Wageningen & Res Ctr, Agr Econ Res Inst, Sect Markets & Networks, NL-6706 KN Wageningen, Netherlands. 47702 Dutch Udder Hlth Ctr, NL-7400 AA Deventer, Netherlands. 47703 Anim Hlth Serv, NL-7400 AA Deventer, Netherlands. 47704 Univ Wageningen & Res Ctr, Business Econ Grp, NL-6706 KN Wageningen, Netherlands. 47705 Univ Utrecht, Dept Farm Anim Hlth, NL-3508 TD Utrecht, Netherlands. 47706 RP Valeeva, NI, Univ Wageningen & Res Ctr, Agr Econ Res Inst, Sect Markets 47707 & Networks, NL-6706 KN Wageningen, Netherlands. 47708 EM natasha.valeeva@wur.nl 47709 CR *AGR EC RES I, 2004, AGR EC RES I 47710 *AGR EC RES I, 2005, AGR EC RES I 47711 *RES I AN HUSB, 2005, QUANT INF AN HUSB 20 47712 *SAWT SOFTW INC, 2002, SAWT SOFTW ACA US MA 47713 ALLORE HG, 1998, J DAIRY SCI, V81, P2280 47714 BARKEMA HW, 1998, J DAIRY SCI, V81, P1917 47715 CAVAZOS GF, 2003, P NATL MAST COUNC FO, P77 47716 CHURCHILL GA, 1999, MARKETING RES METHOD 47717 DENOUDEN M, 1997, LIVEST PROD SCI, V48, P23 47718 FIELD AP, 2002, DISCOVERING STAT USI 47719 GOODGER WJ, 1993, PREV VET MED, V15, P235 47720 GREEN PE, 1990, J MARKETING, V54, P3 47721 GREEN PE, 1991, J MARKETING RES, V28, P215 47722 HAIR JF, 1998, MULTIVARIATE DATA AN 47723 HORST HS, 1996, PREV VET MED, V27, P183 47724 HUBER JC, 1991, P SAWT SOFTW C, P189 47725 HUTTON CT, 1990, J DAIRY SCI, V73, P1135 47726 KUIPER D, 2005, P 4 IDF INT MAST C M, P576 47727 LATTIN JM, 2003, ANAL MULTIVARIATE DA 47728 MCFADDEN D, 1999, J RISK UNCERTAINTY, V19, P73 47729 NIGHTINGALE C, 2005, P 4 IDF INT MAST C M, P558 47730 PUNJ G, 1983, J MARKETING RES, V20, P134 47731 RABIN M, 1998, J ECON LIT, V36, P11 47732 RIEKERINK RGM, 2005, P 4 INT DAIR FED I M, P587 47733 RODRIGUES ACO, 2005, J DAIRY SCI, V88, P2672 47734 SCHUKKEN YH, 1992, J DAIRY SCI, V75, P3352 47735 SEEGERS H, 2003, VET RES, V34, P475 47736 SERIEYS F, 2005, P 4 IDF INT MAST C M, P224 47737 VALEEVA NI, 2005, J DAIRY SCI, V88, P1601 47738 VANSCHAIK G, 2005, P 4 IDF INT MAST C M, P242 47739 YALCIN C, 1999, PREV VET MED, V41, P135 47740 NR 31 47741 TC 0 47742 PU AMER DAIRY SCIENCE ASSOC 47743 PI SAVOY 47744 PA 1111 N DUNLAP AVE, SAVOY, IL 61874 USA 47745 SN 0022-0302 47746 J9 J DAIRY SCI 47747 JI J. Dairy Sci. 47748 PD SEP 47749 PY 2007 47750 VL 90 47751 IS 9 47752 BP 4466 47753 EP 4477 47754 PG 12 47755 SC Agriculture, Dairy & Animal Science; Food Science & Technology 47756 GA 200AX 47757 UT ISI:000248737400052 47758 ER 47759 47760 PT J 47761 AU Elyamany, A 47762 Basha, I 47763 Zayed, T 47764 AF Elyamany, Ahmed 47765 Basha, Ismail 47766 Zayed, Tarek 47767 TI Performance evaluating model for construction companies: Egyptian case 47768 study 47769 SO JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE 47770 LA English 47771 DT Article 47772 ID BUSINESS FAILURE; PREDICTORS; INDUSTRY 47773 AB The dynamic nature of today's construction industry compels 47774 construction partners to seek strategies in order to improve 47775 performance. Current research introduces a performance evaluation model 47776 for construction companies in order to provide a proper tool for a 47777 company's managers, owners, shareholders, and funding agencies to 47778 evaluate the performance of construction companies. The model developed 47779 helps a company's management to make the right decisions. Financial, 47780 economical, and industrial data are collected from Egyptian 47781 construction companies for nine consecutive years (1992-2000). Five 47782 indices (models) are developed: company performance score, economy 47783 performance score, industry performance score, performance index, and 47784 performance grade. The models developed consider companies in four 47785 construction sectors: general building, heavy, special trade, and real 47786 estate. These models accommodate the effect of macroeconomic and 47787 industry related factors and company size on the performance 47788 evaluation. The final outcome of current research is a performance 47789 grade, which provides the performance of a construction company. The 47790 developed model is validated, which shows robust results. 47791 C1 Concordia Univ, Bldg Civil & Environm Engn Dept, Montreal, PQ H3G 1M7, Canada. 47792 N Dakota State Univ, Dept Civil Engn & Construct, Fargo, ND 58105 USA. 47793 RP Basha, I, Concordia Univ, Bldg Civil & Environm Engn Dept, 1455 De 47794 Maisonneuve W, Montreal, PQ H3G 1M7, Canada. 47795 EM ismailbasha@georgiasouthern.edu 47796 CR *EG MIN FOR TRAD, 2003, EG MIN FOR TRAD PUBL, V7 47797 *EG MIN FOR TRAD, 2003, EG MIN FOR TRAD PUBL, V9 47798 ALTMAN EI, 1968, J FINANC, V23, P4 47799 BASHA I, 1988, MEASUREMENT CONSTRUC 47800 BEAVER WH, 1966, J ACCOUNTING RES S, V4, P71 47801 DEAKIN EB, 1972, J ACCOUNTING RES, V10, P167 47802 GODA A, 1999, THESIS ZAGAZIG U EGY 47803 HASABO HA, 1996, MODERN DIRECTIONS FI 47804 KANGARI R, 1988, J CONSTR ENG MANAGE, V114, P172 47805 KANGARI R, 1992, J CONSTR ENG MANAGE, V118, P349 47806 LAPIN KW, 1983, STAT ANAL MODERN ENG 47807 LITTLE RE, 1978, PROBABILITY STAT ENG 47808 NETER J, 1996, APPL LINEAR STAT MOD 47809 RUSSELL JS, 1996, J CONSTR ENG M ASCE, V122, P183 47810 SEVERSON GD, 1994, J CONSTR ENG M ASCE, V120, P405 47811 NR 15 47812 TC 0 47813 PU ASCE-AMER SOC CIVIL ENGINEERS 47814 PI RESTON 47815 PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA 47816 SN 0733-9364 47817 J9 J CONSTR ENG MANAGE-ASCE 47818 JI J. Constr. Eng. Manage.-ASCE 47819 PD AUG 47820 PY 2007 47821 VL 133 47822 IS 8 47823 BP 574 47824 EP 581 47825 PG 8 47826 SC Construction & Building Technology; Engineering, Industrial; 47827 Engineering, Civil 47828 GA 190ZA 47829 UT ISI:000248098200004 47830 ER 47831 47832 PT J 47833 AU Cheng, EWL 47834 Lie, H 47835 Fox, P 47836 AF Cheng, Eddie W. L. 47837 Lie, Heng 47838 Fox, Paul 47839 TI Job performance dimensions for improving final project outcomes 47840 SO JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE 47841 LA English 47842 DT Article 47843 ID CONTEXTUAL PERFORMANCE; ORGANIZATIONAL COMMITMENT; TASK-PERFORMANCE; 47844 APPRAISAL; SELECTION; CONFLICT; BEHAVIOR; RATINGS; CURVES; MODEL 47845 AB Job performance is argued to be substantially influential to project 47846 performance. However, existing construction management literature pays 47847 less attention to job performance issues, not to mention exploring the 47848 relationship between job performance and project performance. This 47849 study therefore aims at examining the effects of job performance on 47850 project performance. Four categories (task, behavior, management, and 47851 self) of job performance dimensions were extracted by means of an 47852 exploratory factor analysis. A hypothesized model is developed, which 47853 specifies the relationships between the four job performance categories 47854 (independent variables) and overall project performance (the dependent 47855 variable). The model was tested using path analysis. Results indicate 47856 that the task category of job performance (consisting of nine 47857 dimensions) is significantly related to final project outcomes. 47858 Specifically, for the success of a project, a construction company must 47859 consider how to ensure employees are equipped with such attributes as 47860 responsibility, quality of work, ability, job knowledge, experience, 47861 efficiency, accuracy, judgment, and initiative. 47862 C1 Univ Queensland Technol, Sch Management, Brisbane, Qld 4001, Australia. 47863 Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong, Hong Kong, Peoples R China. 47864 RP Cheng, EWL, Univ Queensland Technol, Sch Management, 2 George Str, 47865 Brisbane, Qld 4001, Australia. 47866 EM e.cheng@qut.edu.au 47867 CR *APA, 1974, STAND ED PSYCH TESTS 47868 ALARCON LF, 1996, J CONSTR ENG M ASCE, V122, P265 47869 ALARCON LF, 1998, INT J PROJECT MANAGE, V16, P145 47870 BARRAZA GA, 2000, J CONSTR ENG M ASCE, V126, P142 47871 BARRAZA GA, 2004, J CONSTR ENG M ASCE, V130, P25 47872 BERNARDIN HJ, 1984, PERFORMANCE APPRAISA 47873 BORMAN WC, 1991, HDB IND ORG PSYCHOL, P271 47874 BORMAN WC, 1993, PERSONNEL SELECTION, P71 47875 BORMAN WC, 1997, HUM PERFORM, V10, P67 47876 BORMAN WC, 1997, HUM PERFORM, V10, P99 47877 BROWN A, 2000, INT J PROJ MANAGE, V18, P327 47878 BRYMAN A, 1994, QUANTITATIVE DATA AN 47879 CAMPBELL JP, 1993, PERSONNEL SELECTION, P35 47880 CASCIO WF, 1998, APPL PSYCHOL HUMAN R 47881 CHENG EWL, 2000, J MANAGE ENG, V16, P84 47882 CHENG EWL, 2001, INFORM MANAGEMENT CO, V9, P61 47883 CHENG EWL, 2005, J CONSTR ENG M ASCE, V131, P459 47884 CLEVELAND JN, 1989, J APPL PSYCHOL, V74, P130 47885 CONWAY JM, 1999, J APPL PSYCHOL, V84, P3 47886 COOKEDAVIES T, 2002, INT J PROJECT MANAGE, V20, P185 47887 DAINTY ARJ, 2003, CONSTR MANAGE EC, V21, P209 47888 DEADRICK DL, 2000, J QUAL MANAGE, V4, P225 47889 DULAIMI MF, 1999, J CONSTR ENG M ASCE, V125, P256 47890 GRANDEY AA, 1999, J VOCAT BEHAV, V54, P350 47891 GRANSBERG DD, 1999, J CONSTR ENG M ASCE, V125, P161 47892 GREENHAUS JH, 1990, ACAD MANAGE J, V33, P64 47893 HAIR JF, 1998, MULTIVARIATE DATA AN 47894 HANNA AS, 1997, J MANAGE ENG, V13, P66 47895 HOROWITZ I, 1995, OMEGA-INT J MANAGE S, V23, P667 47896 IGBARIA M, 1991, J ENG TECHNOL MANAGE, V8, P141 47897 ILGEN DR, 1991, HDB IND ORG PSYCHOL, V2, P165 47898 IRELAND V, 2004, CONSTR MANAGE EC, V22, P121 47899 KATERBERG R, 1983, ACAD MANAGE J, V26, P249 47900 KATZ D, 1978, SOCIAL PSYCHOL ORG 47901 KIM JO, 1978, QUANTITATIVE APPL SO, V14 47902 LEE K, 1988, ECON LETT, V26, P95 47903 LING FYY, 2004, INT J PROJ MANAGE, V22, P477 47904 MCKIM R, 2000, J CONSTR ENG M ASCE, V126, P137 47905 MEYER JP, 1989, J APPL PSYCHOL, V74, P152 47906 MOLENAAR KR, 1998, J CONSTR ENG M ASCE, V124, P467 47907 MOORE D, 2003, 155 CIQ, P6 47908 MORSE JJ, 1978, ACAD MANAGE J, V21, P23 47909 NORRIS DR, 1984, ACAD MANAGE J, V27, P424 47910 NUNNALLY JC, 1978, PSYCHOMETRIC THEORY 47911 OBERLANDER GD, 1993, PROJECT MANAGEMENT E 47912 ODUSAMI KT, 2003, INT J PROJECT MANAGE, V21, P519 47913 PARKER SK, 2005, INT J PROJ MANAGE, V23, P205 47914 ROBITSCHEK C, 1999, J VOCAT BEHAV, V54, P127 47915 SHAOUT A, 1998, EXPERT SYST APPL, V14, P323 47916 SIDERS MA, 2001, ACAD MANAGE J, V44, P570 47917 STEERS RM, 1977, ADM SCI Q, V22, P46 47918 TOULIATOS J, 1984, SOC BEHAV PERSONAL, V12, P61 47919 TUBRE TC, 2000, J MANAGE, V26, P155 47920 VANSCOTTER JR, 1996, J APPL PSYCHOL, V81, P525 47921 VINCHUR AJ, 1998, J APPL PSYCHOL, V83, P586 47922 VISWESVARAN C, 1993, THESIS U IOWA IOWA 47923 VISWESVARAN C, 1996, J APPL PSYCHOL, V81, P557 47924 WOHLERS AJ, 1989, PERS PSYCHOL, V42, P235 47925 WOODS RH, 1998, CORNELL HOTEL RE APR, P25 47926 WRIGHT PM, 1995, J MANAGE, V21, P1129 47927 NR 60 47928 TC 0 47929 PU ASCE-AMER SOC CIVIL ENGINEERS 47930 PI RESTON 47931 PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA 47932 SN 0733-9364 47933 J9 J CONSTR ENG MANAGE-ASCE 47934 JI J. Constr. Eng. Manage.-ASCE 47935 PD AUG 47936 PY 2007 47937 VL 133 47938 IS 8 47939 BP 592 47940 EP 599 47941 PG 8 47942 SC Construction & Building Technology; Engineering, Industrial; 47943 Engineering, Civil 47944 GA 190ZA 47945 UT ISI:000248098200006 47946 ER 47947 47948 PT J 47949 AU Lecouvet, FE 47950 Geukens, D 47951 Stainier, A 47952 Jamar, F 47953 Jamart, J 47954 d'Othee, BJ 47955 Therasse, P 47956 Berg, BV 47957 Tombal, B 47958 AF Lecouvet, Frederic E. 47959 Geukens, Daphne 47960 Stainier, Annabelle 47961 Jamar, Francois 47962 Jamart, Jacques 47963 d'Othee, Bertrand Janne 47964 Therasse, Patrick 47965 Berg, Bruno Vande 47966 Tombal, Bertrand 47967 TI Magnetic resonance imaging of the axial skeleton for detecting bone 47968 metastases in patients with high-risk prostate cancer: Diagnostic and 47969 cost-effectiveness and comparison with current detection strategies 47970 SO JOURNAL OF CLINICAL ONCOLOGY 47971 LA English 47972 DT Article 47973 ID WHOLE-BODY MRI; BREAST-CANCER; SPINAL METASTASES; SOLID TUMORS; FDG 47974 PET; SCINTIGRAPHY; MARROW; LESIONS; SCAN; CT 47975 AB Purpose 47976 To evaluate the diagnostic performance, costs, and impact on therapy of 47977 one-step magnetic resonance imaging ( MRI) of the axial skeleton ( 47978 MRIas) for detecting bone metastases in patients with high-risk 47979 prostate cancer ( PCa). 47980 Patients and Methods 47981 Sixty-six consecutive patients with high-risk PCa prospectively 47982 underwent MRIas in addition to the standard sequential work-up ( SW) of 47983 bone metastases ( technetium-99m bone scintigraphy [ BS] completed with 47984 targeted x-rays [ TXR] in patients with equivocal BS findings and with 47985 MRI obtained on request [ MRIor] in patients with inconclusive BS/ TXR 47986 findings). Panel review of initial and 6-month follow-up MRI findings, 47987 BS/ TXR, and all available baseline and follow-up clinical and biologic 47988 data were used as the best valuable comparator to define metastatic 47989 status. Diagnostic effectiveness of MRIas alone was compared with each 47990 step of the SW. Impact of MRIas screening on patient management and 47991 costs was evaluated. 47992 Results 47993 On the basis of the best valuable comparator, 41 patients ( 62%) had 47994 bone metastases. Sensitivities were 46% for BS alone, 63% for BS/ TXR, 47995 83% for BS/ TXR/ MRIor, and 100% for MRIas; the corresponding 47996 specificities were 32%, 64%, 100%, and 88%, respectively. MRIas was 47997 significantly more sensitive than any other approach ( P < .05, 47998 McNemar). MRIas identified metastases in seven ( 30%) of 23 patients 47999 considered negative and eight ( 47%) of 17 patients considered 48000 equivocal by other strategies, which altered the initially planned 48001 therapy. Economic impact was variable among countries, depending on 48002 reimbursement rates. 48003 Conclusion 48004 MRIas is more sensitive than the current SW of radiographically 48005 identified bone metastases in high-risk PCa patients, which impacts the 48006 clinical management of a significant proportion of patients. 48007 C1 Catholic Univ Louvain, Clin Univ St Luc, Dept Radiol, B-3000 Louvain, Belgium. 48008 Catholic Univ Louvain, Clin Univ St Luc, Dept Urol, B-3000 Louvain, Belgium. 48009 Catholic Univ Louvain, Clin Univ St Luc, Dept Nucl Med, B-3000 Louvain, Belgium. 48010 European Org Res Treatment Canc, Brussels, Belgium. 48011 Mt Godinne Univ Hosp, Ctr Biostat, Yvoir, Belgium. 48012 Harvard Univ, Sch Med, Beth Israel Deaconess Med Ctr, Boston, MA USA. 48013 RP Lecouvet, FE, St Luc Univ Hosp, Dept Radiol, Hippocrate Ave 10-2942, 48014 B-1200 Brussels, Belgium. 48015 EM lecouvet@rdgn.ucl.ac.be 48016 CR AVRAHAMI E, 1989, J COMPUT ASSIST TOMO, V13, P598 48017 BATSON OV, 1940, ANN SURG, V112, P138 48018 BUBENDORF L, 2000, HUM PATHOL, V31, P578 48019 CARDUCCI MA, 2003, J CLIN ONCOL, V21, P679 48020 CONDON BR, 1981, BRIT J RADIOL, V54, P18 48021 CUMMING J, 1990, BRIT J UROL, V66, P411 48022 DAFFNER RH, 1986, AM J ROENTGENOL, V146, P353 48023 DALDRUPLINK HE, 2001, AM J ROENTGENOL, V177, P229 48024 DEARNALEY DP, 2003, J NATL CANCER I, V95, P1300 48025 DOTAN ZA, 2005, J CLIN ONCOL, V23, P1962 48026 ENGELHARD K, 2004, EUR RADIOL, V14, P99 48027 EUSTACE S, 1997, AM J ROENTGENOL, V169, P1655 48028 EVENSAPIR E, 2006, J NUCL MED, V47, P287 48029 FRAT A, 2006, J COMPUT ASSIST TOMO, V30, P151 48030 FREEDLAND SJ, 2005, JAMA-J AM MED ASSOC, V294, P433 48031 FREEDMAN GM, 1999, UROLOGY, V54, P118 48032 FUJII Y, 1995, BRIT J UROL, V75, P54 48033 GHANEM N, 2002, EUR J RADIOL, V43, P256 48034 GHANEM N, 2005, EUR J RADIOL, V55, P41 48035 GHANEM N, 2006, IN VIVO, V20, P173 48036 GOSFIELD E, 1993, J NUCL MED, V34, P2191 48037 GROVES AM, 2006, EUR RADIOL, V16, P1066 48038 HAMAOKA T, 2004, J CLIN ONCOL, V22, P2942 48039 JACOBSON AF, 1998, EUR J NUCL MED, V25, P1219 48040 KATTAPURAM SV, 1990, SKELETAL RADIOL, V19, P113 48041 LEE N, 2000, INT J RADIAT ONCOL, V48, P1443 48042 MCCALL I, 2003, NUCL MED RAD DIAGNOS, P37 48043 NAKANISHI K, 2005, MAGN RESON MED SCI, V4, P11 48044 POLLEN JJ, 1981, CANCER, V47, P2585 48045 RIGAUD J, 2002, J UROLOGY 1, V168, P1423 48046 RYBAK LD, 2001, Q J NUCL MED, V45, P53 48047 SAAD F, 2004, J NATL CANCER I, V96, P879 48048 SAITOH H, 1984, CANCER, V54, P3078 48049 SANAL SM, 1994, J CLIN ONCOL, V12, P1415 48050 SCHIRRMEISTER H, 1999, J CLIN ONCOL, V17, P2381 48051 SCHIRRMEISTER H, 1999, J NUCL MED, V40, P1623 48052 SCHIRRMEISTER H, 2001, EUR J NUCL MED, V28, P351 48053 SMITH MR, 2005, J CLIN ONCOL, V23, P2918 48054 SODERLUND V, 1996, EUR RADIOL, V6, P587 48055 SOLOWAY MS, 1988, CANCER, V61, P195 48056 THURAIRAJA R, 2004, BJU INT, V94, P268 48057 TOMBAL B, 2005, PROSTATE, V65, P178 48058 TRAILL ZC, 1999, CLIN RADIOL, V54, P448 48059 UEMATSU T, 2005, AM J ROENTGENOL, V184, P1266 48060 VANDEBERG BC, 1998, EUR RADIOL, V8, P1335 48061 VANDEBERG BC, 1998, SKELETAL RADIOL, V27, P471 48062 VANDEBERG BC, 1998, SKELETAL RADIOL, V27, P529 48063 VANEL D, 1998, EUR RADIOL, V8, P1345 48064 NR 48 48065 TC 0 48066 PU AMER SOC CLINICAL ONCOLOGY 48067 PI ALEXANDRIA 48068 PA 330 JOHN CARLYLE ST, STE 300, ALEXANDRIA, VA 22314 USA 48069 SN 0732-183X 48070 J9 J CLIN ONCOL 48071 JI J. Clin. Oncol. 48072 PD AUG 1 48073 PY 2007 48074 VL 25 48075 IS 22 48076 BP 3281 48077 EP 3287 48078 PG 7 48079 SC Oncology 48080 GA 200DL 48081 UT ISI:000248744000017 48082 ER 48083 48084 PT J 48085 AU Neel, JPS 48086 Fontenot, JP 48087 Clapham, WM 48088 Duckett, SK 48089 Felton, EED 48090 Scaglia, G 48091 Bryan, WB 48092 AF Neel, J. P. S. 48093 Fontenot, J. P. 48094 Clapham, W. M. 48095 Duckett, S. K. 48096 Felton, E. E. D. 48097 Scaglia, G. 48098 Bryan, W. B. 48099 TI Effects of winter stocker growth rate and finishing system on: I. 48100 Animal performance and carcass characteristics 48101 SO JOURNAL OF ANIMAL SCIENCE 48102 LA English 48103 DT Article 48104 DE average daily gain; beef; carcass; finishing; pasture; stocker 48105 ID FATTY-ACID-COMPOSITION; FEEDLOT PERFORMANCE; BEEF-PRODUCTION; FORAGE 48106 SYSTEMS; QUALITY; CATTLE; CONCEPTION; MANAGEMENT; SLAUGHTER; PASTURE 48107 AB Angus-crossbred steers (n = 216) were used in a 3-yr study to assess 48108 the effects of winter stocker growth rate and finishing system on 48109 finishing performance and carcass characteristics. During winter months 48110 (December to April) steers were randomly allotted to 3 stocker growth 48111 rates: low (0.23 kgmental unit, and year was considered a random 48112 effect. Winter stocker phase treatments resulted in differences (P < 48113 0.001) in final BW, ADG, and ultrasound LM area between all treatments 48114 for that phase. Pasture-finished cattle had lower (P < 0.001) final BW, 48115 ADG, HCW, LM area, fat thickness, KPH, dressing percent, USDA yield 48116 grade, and USDA quality grade. Winter stocker treatment influenced (P < 48117 0.05) final BW and HCW, with low and medium being less than high. 48118 Steers with low stocker gain had greater (P < 0.05) finishing ADG. 48119 Dressing percent was greater (P < 0.001) for high than low, and USDA 48120 quality grade was greater (P < 0.05) for high than low and medium. 48121 Carcass LM area, fat thickness, KPH, and USDA yield grade were not 48122 influenced (P > 0.05) by winter rate of gain. Cattle on low during 48123 winter exhibited compensatory gain during finishing but were unable to 48124 catch the high group regarding BW or HCW. The USDA quality grade was 48125 greater for high than low or medium. Animal performance during the 48126 winter stocker period clearly impacts finishing performance, carcass 48127 quality and beef production in both pasture-and feedlot-finishing 48128 systems, when cattle were finished to an equal-time endpoint.center dot 48129 d(-1)), medium (0.45 kg center dot d(-1)), or high (0.68 kg center dot 48130 d(-)1). Upon completion of the winter phase, steers were randomly 48131 allotted within each stocker treatment to a corn silage-concentrate or 48132 pasture finishing system. All steers regardless of finishing treatment 48133 were finished to an equal-time endpoint to eliminate confounding of 48134 treatments with animal age or seasonal factors. Upon completion of the 48135 finishing period, steers were slaughtered in 2 groups (one-half of 48136 pasture and one-half of feedlot cattle each time) and carcass data were 48137 collected. Winter data were analyzed as a completely randomized design, 48138 with winter treatment, pen replicate, year, and the winter x year 48139 interaction in the model. Finishing performance and carcass data were 48140 analyzed in a split-plot design with finishing system in the whole 48141 plot, and winter growth rate and winter x finish in the split-plot. 48142 Winter treatment mean within finishing replication was the experimental 48143 unit, and year was considered a random effect. Winter stocker phase 48144 treatments resulted in differences (P < 0.001) in final BW, ADG, and 48145 ultrasound LM area between all treatments for that phase. 48146 Pasture-finished cattle had lower (P < 0.001) final BW, ADG, HCW, LM 48147 area, fat thickness, KPH, dressing percent, USDA yield grade, and USDA 48148 quality grade. Winter stocker treatment influenced (P < 0.05) final BW 48149 and HCW, with low and medium being less than high. Steers with low 48150 stocker gain had greater (P < 0.05) finishing ADG. Dressing percent was 48151 greater (P < 0.001) for high than low, and USDA quality grade was 48152 greater (P < 0.05) for high than low and medium. Carcass LM area, fat 48153 thickness, KPH, and USDA yield grade were not influenced (P > 0.05) by 48154 winter rate of gain. Cattle on low during winter exhibited compensatory 48155 gain during finishing but were unable to catch the high group regarding 48156 BW or HCW. The USDA quality grade was greater for high than low or 48157 medium. 48158 Animal performance during the winter stocker period clearly impacts 48159 finishing performance, carcass quality and beef productin in both 48160 pasture- and feedlot-finishing systems, when cattle were finished to an 48161 equal-time endpoint. 48162 C1 Appalachian Farming Syst Res Ctr, USDA ARS, Beaver, WV 25813 USA. 48163 Virginia Polytech Inst & State Univ, Blacksburg, VA 24061 USA. 48164 Clemson Univ, Clemson, SC 29634 USA. 48165 W Virginia Univ, Morgantown, WV 26505 USA. 48166 RP Neel, JPS, Appalachian Farming Syst Res Ctr, USDA ARS, Beaver, WV 25813 48167 USA. 48168 EM Jim.Neel@ars.usda.gov 48169 CR *NAMP, 1997, MEAT BUYERS GUID 48170 *NAT BEEF TEND SUR, 2005, EX SUMM 48171 *NRC, 1996, NUTR REQ BEEF CATTL 48172 ALLEN VG, 1992, J ANIM SCI, V70, P588 48173 ALLEN VG, 1996, J ANIM SCI, V74, P625 48174 BERTHIAUME R, 2006, J ANIM SCI, V84, P2168 48175 CHOAT WT, 2003, J ANIM SCI, V81, P3191 48176 CROUSE JD, 1984, J ANIM SCI, V58, P619 48177 DROUILLARD JS, 1999, J ANIM SCI S2, V77, P136 48178 HERSOM MJ, 2004, J ANIM SCI, V82, P262 48179 MANDELL IB, 1998, J ANIM SCI, V76, P2619 48180 OWENS FN, 1995, J ANIM SCI, V73, P3152 48181 PHILLIPS WA, 1991, J ANIM SCI, V69, P3102 48182 PHILLIPS WA, 2004, PROF ANIM SCI, V20, P401 48183 REALINI CE, 2004, MEAT SCI, V66, P567 48184 NR 15 48185 TC 0 48186 PU AMER SOC ANIMAL SCIENCE 48187 PI SAVOY 48188 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 48189 SN 0021-8812 48190 J9 J ANIM SCI 48191 JI J. Anim. Sci. 48192 PD AUG 48193 PY 2007 48194 VL 85 48195 IS 8 48196 BP 2012 48197 EP 2018 48198 PG 7 48199 SC Agriculture, Dairy & Animal Science 48200 GA 190FL 48201 UT ISI:000248043600020 48202 ER 48203 48204 PT J 48205 AU Linneen, SK 48206 Dritz, SS 48207 Goodband, RD 48208 Tokach, MD 48209 DeRouchey, JM 48210 Nelssen, JL 48211 AF Linneen, S. K. 48212 Dritz, S. S. 48213 Goodband, R. D. 48214 Tokach, M. D. 48215 DeRouchey, J. M. 48216 Nelssen, J. L. 48217 TI Effects of frequent out-of-feed events on growth performance of nursery 48218 and grow-finish pigs 48219 SO JOURNAL OF ANIMAL SCIENCE 48220 LA English 48221 DT Article 48222 DE feed availability; feed management; pig 48223 ID BODY-COMPOSITION; RESTRICTION; PERIOD 48224 AB Two experiments were conducted to evaluate effects of out-of-feed 48225 events on nursery and grow-finish pig performance. An out-of-feed event 48226 is a period of time that pigs do not have access to feed as a result of 48227 late feed delivery or bridging in bulk bins, feed lines, or feeders. In 48228 these studies, we created an out-of-feed event by removing the feeders 48229 from pens or preventing access to the feeder. In Exp. 1, 190 pigs 48230 (initially 6.4 +/- 1.6 kg and 21 +/- 3 d of age) were used in a 35-d 48231 growth study. Treatments involved a 20-h feed withdrawal for 1, 2, or 3 48232 randomly selected times or a control treatment where feeders were never 48233 withdrawn. Feeders were withdrawn on d 11 for pigs with 1 out-of-feed 48234 event, d 8 and 23 for pigs with 2 out-of-feed events, and d 9, 14, and 48235 20 for pigs with 3 out-of-feed events. There was a treatment (P < 0.06) 48236 effect only during weeks in which an out-of-feed event occurred. Growth 48237 rate was lower ( P < 0.05) for pigs with 1 out-of-feed event (d 11) 48238 compared with control in the d 8 to 14 period. During the same period, 48239 those pigs with the first of 2 ( 8) or 3 (d 9) out-of-feed events had 48240 intermediate ADG. In the d 15 to 21 period, only pigs with the second 48241 and third of 3 out-of-feed events (d 15 and 20) had lower growth 48242 performance compared with control pigs, whereas growth performance was 48243 similar to the control for those with 1 or 2 out-of-feed events. Pigs 48244 with 3 out-of-feed events had greater ADG and G:F (P < 0.05) compared 48245 with the other 3 treatments for the d 22 to 28 period. For the overall 48246 study ( d 0 to 35), there were no differences (P > 0.86) in growth 48247 performance among pigs with 0, 1, 2, or 3 out-of-feed events. In Exp. 48248 2, 479 pigs ( initially 41.6 +/- 4 kg) were used in an 85-d growth 48249 study. Treatments involved feed withdrawal (20 h) weekly for the 48250 duration of the study; feed withdrawn weekly from d 45 to 85; or a 48251 control treatment where pigs had access to feed for the duration of the 48252 experiment. Feed withdrawal occurred on a randomly selected day with 48253 the exception of Saturday, Sunday, or a day before a weigh day ( 48254 usually a Thursday every other week). From d 0 to 45, 46 to 85, and the 48255 overall d 0 to 85 period, there were no differences ( P > 0.12) in ADG, 48256 ADFI, G: F, or average final BW among treatments. Results suggest that 48257 out of feed events of 20 h or less have no long-term detrimental 48258 effects on growth performance in nursery or grow-finish pigs. 48259 C1 Kansas State Univ, Dept Anim Sci & Ind, Coll Vet Med, Manhattan, KS 66506 USA. 48260 Kansas State Univ, Food Anim Hlth & Management Ctr, Coll Vet Med, Manhattan, KS 66506 USA. 48261 RP Goodband, RD, Kansas State Univ, Dept Anim Sci & Ind, Coll Vet Med, 48262 Manhattan, KS 66506 USA. 48263 EM Goodband@ksu.edu 48264 CR *NRC, 1998, NUTR REQ SWIN 48265 BRUMM M, 2005, J ANIM SCI S2, V83, P38 48266 BRUMM M, 2006, EC062191013 U NEBR 48267 BRUMM M, 2006, J ANIM SCI S2, V84, P115 48268 BRUMM MB, 2005, EXT PUBL 48269 CHIBA LI, 1999, J ANIM SCI, V77, P1769 48270 COLE DJA, 1968, ANIM PROD, V10, P345 48271 DEGREEF KH, 1992, LIVEST PROD SCI, V30, P141 48272 HORNICK JL, 2000, DOMEST ANIM ENDOCRIN, V19, P121 48273 LOVATTO PA, 2006, J ANIM SCI, V84, P3329 48274 PRINCE TJ, 1983, J ANIM SCI, V56, P846 48275 STAMATARIS C, 1991, ANIM PROD, V53, P373 48276 TOKACH MD, 1997, KANSAS STATE SWINE N 48277 WHANG KY, 2003, J ANIM SCI, V81, P705 48278 NR 14 48279 TC 0 48280 PU AMER SOC ANIMAL SCIENCE 48281 PI SAVOY 48282 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 48283 SN 0021-8812 48284 J9 J ANIM SCI 48285 JI J. Anim. Sci. 48286 PD AUG 48287 PY 2007 48288 VL 85 48289 IS 8 48290 BP 2043 48291 EP 2047 48292 PG 5 48293 SC Agriculture, Dairy & Animal Science 48294 GA 190FL 48295 UT ISI:000248043600023 48296 ER 48297 48298 PT J 48299 AU Grings, EE 48300 Geary, TW 48301 Short, RE 48302 MacNeil, MD 48303 AF Grings, E. E. 48304 Geary, T. W. 48305 Short, R. E. 48306 MacNeil, M. D. 48307 TI Beef heifer development within three calving systems 48308 SO JOURNAL OF ANIMAL SCIENCE 48309 LA English 48310 DT Article 48311 DE beef heifer; calving date; weaning 48312 ID NORTHERN GREAT-PLAINS; REPRODUCTIVE-PERFORMANCE; CALF PERFORMANCE; 48313 PUBERTY; WEIGHT; GROWTH; GAIN; AGE; MANAGEMENT; CATTLE 48314 AB A 3-yr study was conducted to evaluate the effects of calving system, 48315 weaning age, and postweaning management on growth and reproduction in 48316 beef heifers. Heifer calves (n = 676) born in late winter (average 48317 birth date = February 7 +/- 9 d) or early spring (average birth date 48318 April 3 +/- 10 d) were weaned at 190 or 240 d of age, and heifers born 48319 in late spring (average birth date May 29 +/- 10 d) were weaned at 140 48320 or 190 d of age. Heifers were managed to be first exposed to breeding 48321 at approximately 14 mo of age. After weaning, the calves were randomly 48322 assigned to treatments. Heifers on the constant gain treatment were fed 48323 a corn silage- and hay-based diet. Heifers on delayed gain treatments 48324 were placed on pasture but were fed grass hay or a supplement, or both, 48325 depending on the forage conditions. Three months before their 48326 respective breeding seasons, delayed gain heifers were moved to drylot 48327 and fed a corn silage- and barley-based diet (late winter or early 48328 spring) or moved to spring rangeland (late spring). The data were 48329 analyzed using mixed model procedures with calving system, weaning age, 48330 and postweaning management options creating 12 treatments. Average 48331 daily gain was 0.36 +/- 0.05 (SED) kg/d less (P < 0.001) for delayed 48332 gain heifers during the initial phase, whereas these heifers gained 48333 0.44 +/- 0.03 kg/d more (P < 0.001) than constant gain heifers during 48334 the last 90 d before breeding. Body weights at the beginning of the 48335 breeding season did not differ (P = 0.97) between constant gain and 48336 delayed gain heifers but were affected by calving system and weaning 48337 age, reflecting some of the differences in initial BW. Prebreeding BW 48338 for heifers weaned at 190 d of age were 36 +/- 6.4 kg heavier (P < 48339 0.001) for those born in late winter and early spring compared with 48340 late spring and were 388, 372, and 330 kg for heifers weaned in October 48341 at 240, 190, or 140 d of age (linear effect, P < 0.001). The proportion 48342 of heifers exhibiting luteal activity at the beginning of the breeding 48343 season was not affected (P = 0.57) by treatment. Approximately half of 48344 the heifers were randomly selected for breeding. Treatment had no 48345 effect (P = 0.64) on pregnancy rates. In conclusion, heifers from 48346 varied calving systems and weaning strategies can be raised to breeding 48347 using either constant or delayed gain strategies without affecting the 48348 percentage of heifers cycling at the beginning of the breeding season. 48349 These results suggest that producers have multiple options for 48350 management of heifer calves within differing calving systems. 48351 C1 USDA ARS, Ft Keogh Livestock & Range Res Lab, Miles City, MT 59301 USA. 48352 RP Grings, EE, USDA ARS, Ft Keogh Livestock & Range Res Lab, Miles City, 48353 MT 59301 USA. 48354 EM elaine.grings@ars.usda.gov 48355 CR *AOAC, 1990, OFF METH AN 48356 *FASS, 1999, GUID CAR US AGR AN 48357 *NOAA, 1999, CLIM DAT ANN SUMM 48358 *NRC, 1996, NUTR REQ BEEF CATTL 48359 BELLOWS RA, 1991, THERIOGENOLOGY, V35, P1069 48360 CICCIOLI NH, 2005, J ANIM SCI, V83, P2653 48361 CLANTON DC, 1983, J ANIM SCI, V56, P280 48362 FREETLY HC, 2001, J ANIM SCI, V79, P819 48363 FUNSTON RN, 2004, J ANIM SCI, V82, P3094 48364 GRINGS EE, 1996, J ANIM SCI, V74, P2317 48365 GRINGS EE, 1998, J ANIM SCI, V76, P2177 48366 GRINGS EE, 2002, J RANGE MANAGE, V55, P135 48367 GRINGS EE, 2005, J ANIM SCI, V83, P2671 48368 HEITSCHMIDT RK, 1993, J RANGE MANAGE, V46, P529 48369 HERD DB, 1986, TEXAS A M U EXT B, V1526 48370 KUCHLER AW, 1964, AM GEOGR SOC SPEC PU, V36 48371 LEWIS JM, 1990, J ANIM SCI, V68, P2525 48372 LYNCH JM, 1997, J ANIM SCI, V75, P1715 48373 MARSTON TT, 1995, J ANIM SCI, V73, P63 48374 MORTENSEN MC, 2003, THESIS U WYOMING LAR 48375 PARK CS, 1989, GROWTH DEVELOP AGING, V53, P159 48376 PATTERSON DJ, 1992, J ANIM SCI, V70, P4018 48377 POLAND W, 2001, P W SEC AM SOC ANIM, V52, P582 48378 SHORT RE, 1971, J ANIM SCI, V32, P127 48379 TILLEY JMA, 1963, J BRIT GRASSLAND SOC, V18, P104 48380 NR 25 48381 TC 0 48382 PU AMER SOC ANIMAL SCIENCE 48383 PI SAVOY 48384 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 48385 SN 0021-8812 48386 J9 J ANIM SCI 48387 JI J. Anim. Sci. 48388 PD AUG 48389 PY 2007 48390 VL 85 48391 IS 8 48392 BP 2048 48393 EP 2058 48394 PG 11 48395 SC Agriculture, Dairy & Animal Science 48396 GA 190FL 48397 UT ISI:000248043600024 48398 ER 48399 48400 PT J 48401 AU Leesburg, VLR 48402 Tess, MW 48403 Griffith, D 48404 AF Leesburg, V. L. Reisenauer 48405 Tess, M. W. 48406 Griffith, D. 48407 TI Evaluation of calving seasons and marketing strategies in Northern 48408 Great Plains beef enterprises: I. Cow-calf systems 48409 SO JOURNAL OF ANIMAL SCIENCE 48410 LA English 48411 DT Article 48412 DE beef cattle; calving season; marketing; system 48413 ID RANGE ENVIRONMENT; PREWEANING CALF; PERFORMANCE; CATTLE; MODEL; 48414 PRODUCTIVITY; SIMULATION; PROFITABILITY; MANAGEMENT; LENGTH 48415 AB A bioeconomic computer model was used to evaluate alternate calving 48416 seasons in a cow-calf enterprise under range conditions representative 48417 of the Northern Great Plains. The simulated ranch utilized a rotational 48418 breeding system based on Hereford and Angus and had a fixed forage base 48419 ( 4,500 animal unit months of native range, 520 t of grass hay, and 183 48420 t of alfalfa hay). Calving seasons studied were spring (SP, beginning 48421 March 15), summer (SU, beginning May 15), and fall ( FA, beginning 48422 August 15). Weaning dates were October 31, December 15, and February 1, 48423 for SP, SU, and FA. The SP system was also simulated with a 5% increase 48424 in calf mortality (SP-IM), and SU with early weaning on October 31 48425 (SU-EW). Herd size for the fixed resource was 509, 523, 519, 560, and 48426 609 cows exposed per year for SP, SP-IM, SU, SU-EW, and FA, 48427 respectively. Corresponding values for weight weaned per cow exposed 48428 were 206, 186, 193, 153, and 145 kg. Steer calves, nonreplacement 48429 heifer calves, and cull cows were sold at the time of weaning. 48430 Quarterly cattle and feed prices used were representative of the peak, 48431 descending, valley, and ascending phases of the 1990s cattle cycle 48432 adjusted for inflation. Estimates of ranch gross margin ( gross returns 48433 minus variable costs) were greatest for SP, followed by SP-IM, SU, 48434 SU-EW, and FA, and the ranks were consistent across phases of the 48435 cattle cycle. Differences between ranch gross margin for SP-IM and SU 48436 were small. In beef enterprises representative of the Northern Great 48437 Plains, with a restricted grazing season, limited access to low-cost, 48438 high-quality grazeable forage, and with calves sold at weaning, 48439 switching from early spring to a summer or fall calving date is not 48440 expected to improve profitability. If delaying calving improves calf 48441 survival, then calving in early summer may be a competitive choice. 48442 C1 Montana State Univ, Dept Anim & Range Sci, Bozeman, MT 59717 USA. 48443 Montana State Univ, Dept Agr Econ & Econ, Bozeman, MT 59717 USA. 48444 RP Tess, MW, Montana State Univ, Dept Anim & Range Sci, Bozeman, MT 59717 48445 USA. 48446 EM mwtess@montana.edu 48447 CR 2006, GDP IMPLICIT PRICE D 48448 *NRC, 1996, NUTR REQ BEEF CATTL 48449 *SRM, 1989, GLOSS TERMS US RANG 48450 ADAMS DC, 1994, J RANGE MANAGE, V47, P258 48451 ADAMS DC, 1996, RANGELANDS, V18, P57 48452 ANDERSON DP, 1996, MANAGING TODAYS CATT 48453 AZZAM SM, 1989, J ANIM SCI, V67, P1405 48454 AZZAM SM, 1991, J ANIM SCI, V69, P2329 48455 BAGLEY CP, 1987, J ANIM SCI, V64, P687 48456 BELLIDO MM, 1981, J ANIM SCI, V52, P455 48457 DEUTSCHER GH, 1991, J ANIM SCI, V69, P3453 48458 DHUYVETTER KT, 2002, MANAGING TODAYS CATT 48459 GRIMES JF, 1991, J PROD AGRIC, V4, P464 48460 GRIMES JF, 1991, J PRODUCTION AGR, V4, P468 48461 GRINGS EE, 2005, J ANIM SCI, V83, P2671 48462 JULIEN DJ, 2002, J ANIM SCI, V80, P1462 48463 KREFT B, 1998, FALL CALVING N DAKOT 48464 LAMB JB, 1997, J RANGE MANAGE, V50, P16 48465 LARDY GP, 1999, J RANGE MANAGE, V52, P317 48466 LEESBURG VLR, 2007, J ANIM SCI, V85, P2322 48467 MAY GJ, 1999, J RANGE MANAGE, V52, P560 48468 MAY GJ, 1999, RANGELANDS, V21, P8 48469 PANG H, 1999, CAN J ANIM SCI, V79, P409 48470 PEEL D, 2002, MANAGING TODAYS CATT 48471 SHORT RE, 1996, J ANIM SCI, V74, P1701 48472 TESS MW, 1999, P AM SOC AN SCI 48473 TESS MW, 2000, J ANIM SCI, V78, P1159 48474 TESS MW, 2000, J ANIM SCI, V78, P1170 48475 TORSTENSON WLF, 2002, J RANGE MANAGE, V55, P117 48476 VAVRA M, 1976, J RANGE MANAGE, V29, P449 48477 NR 30 48478 TC 1 48479 PU AMER SOC ANIMAL SCIENCE 48480 PI SAVOY 48481 PA 1111 NORTH DUNLAP AVE, SAVOY, IL 61874 USA 48482 SN 0021-8812 48483 J9 J ANIM SCI 48484 JI J. Anim. Sci. 48485 PD SEP 48486 PY 2007 48487 VL 85 48488 IS 9 48489 BP 2314 48490 EP 2321 48491 PG 8 48492 SC Agriculture, Dairy & Animal Science 48493 GA 199TX 48494 UT ISI:000248719200026 48495 ER 48496 48497 PT J 48498 AU Pattanaik, AK 48499 Khan, SA 48500 Goswami, TK 48501 AF Pattanaik, A. K. 48502 Khan, S. A. 48503 Goswami, T. K. 48504 TI Influence of iodine on nutritional, metabolic and immunological 48505 response of goats fed Leucaena leucocephala leaf meal diet 48506 SO JOURNAL OF AGRICULTURAL SCIENCE 48507 LA English 48508 DT Article 48509 ID DEGRADING RUMEN BACTERIA; FORAGE-BASED DIETS; THYROID-HORMONES; 48510 FEED-INTAKE; DIFFERENT PROPORTIONS; NUTRIENT UTILIZATION; BLOOD 48511 METABOLITES; GLIRICIDIA-SEPIUM; REPLACEMENT VALUE; IMMUNE-RESPONSE 48512 AB Fifteen indigenous nondescript kids (8 center dot 2 kg; 8 months 48513 initial age), randomly allotted into three equal groups, were used to 48514 study the effects of supplementation of extra iodine on their 48515 performance when fed a leucaena (Leucaena leucocephala) leaf meal 48516 containing diet. Group I (CON) was fed a control concentrate supplement 48517 consisting of a conventional protein source whereas the other two 48518 groups (LL and LLI) were fed a concentrate containing leucaena leaf 48519 meal so as to supply 0 center dot 5 of the net crude protein (CP) 48520 requirements. Additionally, animals in group LLI were given 48521 supplemental iodine (as potassium iodide solution) at 0 center dot 25 48522 mg/head/day. Wheat straw was provided ad libitum as the sole source of 48523 roughage during the 120 days of the experimental period. A metabolism 48524 trial, conducted at the end of the feeding trial, revealed no variation 48525 in the dry matter intake (DMI) among the groups. A significant (P<0 48526 center dot 01) decline was evident in digestibility of CP in both the 48527 leucaena-fed groups (0 center dot 463 and 0 center dot 482 versus 0 48528 center dot 586) whilst that of the other organic components remained 48529 unaffected. Animals on the LL diet exhibited lower (P<0-01) nitrogen 48530 retention and average daily gain (ADG) in live weight (LW). Blood 48531 collected periodically was analysed for the thyroid hormones 48532 triiodothyronine (TO and thyroxine (T-4) as well as other biochemical 48533 parameters. At the end of the experimental feeding, the cell-mediated 48534 immune (CMI) response of the goats was assessed by intra-dermal 48535 inoculation of phytohaemagglutinin-P and measuring the change in skin 48536 thickness at various postinoculation hours. The results revealed that 48537 the serum concentration of glucose was significantly (P<0 center dot 48538 05) higher in the LLI group of animals fed leucaena with iodine. The 48539 concentration of cholesterol in serum of LL animals increased 48540 significantly (P<0 center dot 05) compared to the CON and LLI groups. 48541 No variation due to dietary interventions was evident in other indices 48542 of metabolic profile. While the concentration of circulating T-3 48543 remained unaffected due to dietary intervention, that of T4 reduced 48544 significantly (P<0 center dot 05) in the LL group. Moreover, the T4 48545 concentration in the LLI group remained similar to that of control 48546 indicative of positive impact of iodine supplementation. The immune 48547 response revealed that the skin thickness of animals in the LL group 48548 was lower (P < 0 center dot 05) as compared to the control, indicating 48549 a compromise of CMI response due to feeding of leucaena leaf meal. 48550 Supplementation of iodine appeared to be partially effective in 48551 potentiating the response. In conclusion, iodine supplementation could 48552 be adopted as a strategic management strategy to ameliorate the 48553 negative impacts of feeding leucaena leaf meal in growing kids. 48554 C1 Indian Vet Res Inst, Ctr Adv Studies Anim Nutr, Izatnagar 243122, Uttar Pradesh, India. 48555 Indian Vet Res Inst, Immunol Sect, Izatnagar 243122, Uttar Pradesh, India. 48556 RP Pattanaik, AK, Indian Vet Res Inst, Ctr Adv Studies Anim Nutr, 48557 Izatnagar 243122, Uttar Pradesh, India. 48558 EM patnaik@ivri.up.nic.in 48559 CR *AOAC, 1995, OFF METH AN 48560 *MAFF, 1984, 433 MAFF 48561 AKBAR MA, 1985, INDIAN J ANIM SCI, V55, P808 48562 AKINGBADE AA, 2002, J AGR SCI 1, V138, P103 48563 ANBARASU C, 2004, SMALL RUMINANT RES, V51, P47 48564 BEDI SPS, 2000, INDIAN J ANIM SCI, V70, P736 48565 BERMUDEZ FF, 1983, J PHYSIOL-LONDON, V337, P19 48566 DANA N, 2000, ANIM FEED SCI TECH, V86, P239 48567 DMELLO JPF, 1981, TROPICAL SCI, V23, P75 48568 DZOWELA BH, 1995, ANIM FEED SCI TECH, V55, P207 48569 EGAN AR, 1980, J AGR SCI, V94, P47 48570 ELLIOTT R, 1985, AUST J AGR RES, V36, P867 48571 FORBES JM, 1988, 36 EAAP, P1 48572 FOX DG, 1974, J ANIM SCI, V38, P437 48573 GARCIA GW, 1996, ANIM FEED SCI TECH, V60, P29 48574 GUPTA HK, 1998, ANIM FEED SCI TECH, V74, P29 48575 HAMMOND AC, 1995, J ANIM SCI, V73, P1487 48576 HEGARTY MP, 1964, AUST J AGR RES, V15, P153 48577 HEGARTY MP, 1976, AUST VET J, V52, P490 48578 HEGARTY MP, 1979, AUST J BIOL SCI, V32, P27 48579 HEMBADE AS, 2004, INDIAN J ANIMAL NUTR, V21, P5 48580 HOLMES JHG, 1980, PAPUA NEW GUINEA AGR, V31, P47 48581 HONGO F, 1986, JAP J ZOOTECH SCI, V57, P223 48582 JONES RJ, 1978, AUST VET J, V54, P387 48583 JONES RJ, 1982, LEUCAENA RES REP, V3, P2 48584 JONES RJ, 1983, AUST J AGR RES, V34, P781 48585 JONES RJ, 1984, AUST J AGR RES, V35, P317 48586 JONES RJ, 1985, PLANT TOXICOLOGY, P111 48587 KAILAS MM, 1991, THESIS INDIAN VET RE 48588 KANEKO JJ, 1989, CLIN BIOCH DOMESTIC 48589 KHATTAB HM, 1998, EGYTIAN J DAIRY SCI, V26, P1 48590 MAASDORP BV, 1999, ANIM FEED SCI TECH, V77, P49 48591 MARSH JA, 1995, ARCH GEFLUGELKD, V62, P21 48592 MEGARRITY RG, 1978, J SCI FOOD AGR, V29, P182 48593 MEGARRITY RG, 1983, AUST J AGR RES, V34, P791 48594 MTENGA LA, 1990, SMALL RUMINANT RES, V3, P9 48595 NORTON BW, 1994, FORAGE TREE LEGUMES, P171 48596 PADMAVATHY P, 1987, J FOOD SCI TECH MYS, V24, P180 48597 PATTANAIK AK, 1999, ASIAN AUSTRAL J ANIM, V12, P728 48598 PATTANAIK AK, 2000, ASIAN AUSTRAL J ANIM, V13, P1245 48599 PATTANAIK AK, 2001, SMALL RUMINANT RES, V41, P51 48600 PRATCHETT D, 1991, TROP GRASSLANDS, V25, P268 48601 RAJENDRAN D, 2001, ASIAN AUSTRAL J ANIM, V14, P785 48602 RAJENDRAN D, 2001, ASIAN AUSTRAL J ANIM, V14, P791 48603 RAMAKRISHNA C, 1991, INDIAN J VET PATHOL, V15, P5 48604 REED JD, 1990, ANIM FEED SCI TECH, V30, P39 48605 REGIUSMOCSENY A, 1992, ACTA AGRONOMICA HUNG, V41, P271 48606 REIS PJ, 1975, AUST J BIOL SCI, V28, P495 48607 RICHARDS DE, 1994, ANIM FEED SCI TECH, V46, P37 48608 RICHARDS DE, 1994, ANIM FEED SCI TECH, V46, P53 48609 RITTNER U, 1992, J SCI FOOD AGR, V58, P21 48610 SCHONE F, 1987, ACTA VET BRNO, V56, P281 48611 SEVI A, 2001, J DAIRY SCI, V84, P629 48612 SHETAEWI MM, 1991, SMALL RUMINANT RES, V4, P365 48613 SNEDECOR GW, 1989, STAT METHODS 48614 SRIVASTAVA SNL, 1998, SMALL RUMINANT RES, V28, P139 48615 STANBURY JB, 1994, SOS BILLION CONQUEST, P73 48616 TANGENDJAJA B, 1984, J SCI FOOD AGR, V35, P613 48617 TANGENDJAJA B, 1990, ANIM FEED SCI TECH, V29, P63 48618 TOMKINS NW, 1991, SMALL RUMINANT RES, V5, P337 48619 WILLIAMSON RA, 1990, DEV COMP IMMUNOL, V14, P305 48620 YAMI A, 2000, SMALL RUMINANT RES, V38, P17 48621 NR 62 48622 TC 0 48623 PU CAMBRIDGE UNIV PRESS 48624 PI NEW YORK 48625 PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA 48626 SN 0021-8596 48627 J9 J AGR SCI 48628 JI J. Agric. Sci. 48629 PD AUG 48630 PY 2007 48631 VL 145 48632 PN Part 4 48633 BP 395 48634 EP 405 48635 PG 11 48636 SC Agriculture, Multidisciplinary 48637 GA 189LO 48638 UT ISI:000247990600009 48639 ER 48640 48641 PT J 48642 AU Bluestein, D 48643 Brantley, C 48644 Barnes-Eley, M 48645 Gravenstein, S 48646 Basta, S 48647 AF Bluestein, Daniel 48648 Brantley, Cynthia 48649 Barnes-Eley, Myra 48650 Gravenstein, Stefan 48651 Basta, Sameh 48652 TI Measuring international normalized ratios in long-term care: A 48653 comparison of commercial laboratory and point-of-care device results 48654 SO JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION 48655 LA English 48656 DT Article 48657 DE point-of-care systems; long-term care; warfarin; anticoagulation 48658 ID PROTHROMBIN-TIME; WHOLE-BLOOD; CLINICAL IMPACT; VITAMIN-K; 48659 ANTICOAGULATION; MANAGEMENT; ACCURACY; THERAPY; MONITOR; TRIAL 48660 AB Objectives: Point-of-care (POC) anticoagulation testing devices can 48661 potentially improve warfarin therapeutics in long-term care; however, 48662 there is variable accuracy reported for these devices and scant data 48663 when used in older adults. Accordingly, we undertook this study to 48664 determine the accuracy of a POC device (Hemosense IN-ratio) in 48665 long-term care settings and examine factors associated with discrepant 48666 results. 48667 Design: Case series. 48668 Setting: Two, demographically comparable continuing-care retirement 48669 communities in the Southeastern United States. 48670 Participants: Long-term (nursing home and assisted living) residents 48671 with atrial fibrillation, venous thromboembolism, or prior 48672 cerebrovascular accident (16 at site 1; 8 at site 2). 48673 Measurements: INR results calculated by the Hemosense device were 48674 compared with those determined by venipuncture-collected samples run in 48675 commercial laboratories. Patient demographic and clinical data were 48676 collected, as was performance by tester. 48677 Results: Correlation varied between sites and, at site 1, between 48678 testers. Accuracy at site 1 was comparable to published reports for 2 48679 of the 3 testers, with rather disconcerting discrepancy rates of 17.8% 48680 and 23.1%. However, correlation for the third tester was much better, 48681 with only a 7% discrepancy rate based on clinician rating of 48682 Hemosense-Reference lab differences. Correlation at site 2 was 48683 considerably worse than site 1, to the point that the Hemosense could 48684 not be safely adopted. 48685 Conclusion: POC devices may not be appropriate for commercial 48686 laboratory tests substitution without prior performance evaluation. 48687 Running POC lNRs concurrent with laboratory-determined INRS can 48688 determine test reliability. Timing of Hemosense testing in relation to 48689 when laboratory INRs were drawn is one likely explanation for our 48690 results, although user differences may also contribute significantly. 48691 Further research in larger, more diverse populations, using a variety 48692 of POC devices, and with direct comparison of older and younger 48693 patients is needed. 48694 C1 Eastern Virginia Med Sch, Dept Family & Community Med, Norfolk, VA 23507 USA. 48695 Eastern Virginia Med Sch, Ctr Pediatr Res, Norfolk, VA 23501 USA. 48696 Eastern Virginia Med Sch, Glennan Ctr Geriatr & Gerontol, Norfolk, VA 23501 USA. 48697 Sentara Healthcare, Norfolk, VA USA. 48698 RP Bluestein, D, Eastern Virginia Med Sch, Dept Family & Community Med, 48699 721 Fairfax Ave, Norfolk, VA 23507 USA. 48700 EM bluestda@evms.edu 48701 CR ANSELL J, 2004, CHEST S, V126, S204 48702 CHAPMAN DC, 1999, ANN PHARMACOTHER, V33, P775 48703 CROWTHER MA, 2002, ANN INTERN MED, V137, P251 48704 DORFMAN DM, 2005, VASC MED, V10, P23 48705 ELDOR A, 2002, PATHOPHYSIOL HAEMO T, V32, P99 48706 FINCK KM, 2001, AM J HEALTH-SYST PH, V58, P684 48707 HOBBS FDR, 1999, J CLIN PATHOL, V52, P494 48708 HORTON JD, 1999, AM FAM PHYSICIAN, V59, P635 48709 JONSSON M, 2004, THROMB RES, V114, P83 48710 KITCHEN S, 2000, BRIT J HAEMATOL, V111, P397 48711 LATIF AKA, 2005, J AM MED DIR ASS, V6, P128 48712 MCBANE RD, 2005, MAYO CLIN PROC, V80, P181 48713 PERRY SL, 2005, THROMB HAEMOSTASIS, V94, P1196 48714 POLLER L, 2003, BRIT MED J, V327, P30 48715 QUIEN ET, 1997, AM J HEMATOL, V55, P193 48716 REED C, 1999, AM J HEALTH-SYST PH, V56, P1619 48717 REISS RA, 2002, PHARMACOTHERAPY, V22, P677 48718 SUNDERJI R, 2005, AM J CLIN PATHOL, V123, P184 48719 WEINBERG AD, 2006, J AM MED DIR ASSOC, V7, P315 48720 NR 19 48721 TC 0 48722 PU ELSEVIER SCIENCE INC 48723 PI NEW YORK 48724 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 48725 SN 1525-8610 48726 J9 J AM MED DIR ASSOC 48727 JI J. Am. Med. Dir. Assoc. 48728 PD JUL 48729 PY 2007 48730 VL 8 48731 IS 6 48732 BP 404 48733 EP 408 48734 PG 5 48735 SC Geriatrics & Gerontology 48736 GA 191NY 48737 UT ISI:000248139200009 48738 ER 48739 48740 PT J 48741 AU Mak, CL 48742 Fan, HSL 48743 AF Mak, Chin Long 48744 Fan, Henry S. L. 48745 TI Heavy flow-based incident detection algorithm using information from 48746 two adjacent detector stations 48747 SO JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS 48748 LA English 48749 DT Article 48750 DE freeway incident detection; freeway traffic management; intelligent 48751 transport systems 48752 ID NEURAL-NETWORK 48753 AB In heavy traffic flow conditions, vehicles have limited manouverability 48754 which affects the magnitude of response to incident-induced traffic 48755 disturbances and how fast changes in these traffic variables can signal 48756 the occurrence of an incident. Such characteristics are usually used to 48757 formulate a loop-based algorithm. A recent study reported that some 48758 existing algorithms were not able to maintain a desired level of 48759 effectiveness when these algorithms were used to detect incidents with 48760 a video-based detector system. Two new video-based automatic incident 48761 detection algorithms, the INdividual Detection Evaluation (INDE) and 48762 COmbined Detection Evaluation ( CODE) algorithms were, therefore, 48763 developed for the detection of lane-blocking incidents in heavy traffic 48764 flow conditions using the Central Expressway in Singapore as a case 48765 study. The algorithms detect incident-induced traffic speed and 48766 occupancy disturbances differently: INDE processes information at each 48767 individual detector station and CODE processes information at two 48768 adjacent detector stations. Both algorithms outperformed existing 48769 algorithms commonly used in incident management systems. Of these 48770 algorithms, the INDE algorithm raised fewer false alarms and gave 48771 slightly faster incident warnings. However, its performance was 48772 relatively less consistent when applied to a validation database. 48773 C1 Nanyang Technol Univ, Sch Civil & Environm Engn, Ctr Transportat Studies, Singapore 639798, Singapore. 48774 RP Mak, CL, Nanyang Technol Univ, Sch Civil & Environm Engn, Ctr 48775 Transportat Studies, 50 Nanynag Ave, Singapore 639798, Singapore. 48776 EM cclmak@ntu.edu.sg 48777 CR ADBULHAI B, 1996, THESIS U CALIFORNIA 48778 ADBULHAI B, 1999, TRANSPORT RES C-EMER, V7, P261 48779 CHEU RI, 2004, TRANSPORT RES REC, V1867, P80 48780 CHEU RL, 2002, TRANSPORT RES REC, V1811, P12 48781 CORBY MJ, 1997, TRANSPORT RES REC, V1603, P80 48782 DIA H, 1997, TRANSPORT RES C-EMER, V5, P313 48783 JIN X, 2002, TRANSPORT RES C-EMER, V10, P121 48784 KARIM A, 2002, J TRANSP ENG-ASCE, V128, P232 48785 MAK CL, 2004, ROAD TRANSPORT RES, V13, P51 48786 MAK CL, 2005, J TRANSP ENG-ASCE, V131, P101 48787 MAK CL, 2006, COMPUT-AIDED CIV INF, V21, P120 48788 MICHALOPOULOS PG, 1995, TRANSPORT RES REC, V1494, P40 48789 OH J, 2003, J TRANSP ENG-ASCE, V129, P462 48790 TENG HL, 2003, TRANSPORT RES C-EMER, V11, P289 48791 WEIL R, 1998, MATH COMPUT MODEL, V27, P257 48792 NR 15 48793 TC 0 48794 PU TAYLOR & FRANCIS INC 48795 PI PHILADELPHIA 48796 PA 325 CHESTNUT ST, SUITE 800, PHILADELPHIA, PA 19106 USA 48797 SN 1547-2450 48798 J9 J INTELL TRANSPORT SYST 48799 JI J. Intell. Transport. Syst. 48800 PY 2006 48801 VL 10 48802 IS 1 48803 BP 23 48804 EP 31 48805 PG 9 48806 GA 190TE 48807 UT ISI:000248082400003 48808 ER 48809 48810 PT J 48811 AU Nield, MA 48812 Hoo, GWS 48813 Roper, JM 48814 Santiago, S 48815 AF Nield, Margaret A. 48816 Hoo, Guy W. Soo 48817 Roper, Janice M. 48818 Santiago, Silverio 48819 TI Efficacy of pursed-lips breathing - A breathing pattern retraining 48820 strategy for dyspnea reduction 48821 SO JOURNAL OF CARDIOPULMONARY REHABILITATION AND PREVENTION 48822 LA English 48823 DT Article 48824 DE breathing exercises; chronic obstructive; dyspnea; pulmonary disease 48825 ID OBSTRUCTIVE PULMONARY-DISEASE; AIR-FLOW LIMITATION; HEALTH SURVEY 48826 SF-36; QUALITY-OF-LIFE; RESPIRATORY SENSATION; BREATHLESSNESS; 48827 EXERCISE; COPD; HYPERINFLATION; MANAGEMENT 48828 AB PURPOSE: Breathing pattern retraining is frequently used for exertional 48829 dyspnea relief in adults with moderate to severe chronic obstructive 48830 pulmonary disease. However, there is contradictory evidence to support 48831 its use. The study objective was to compare 2 programs of prolonging 48832 expiratory time (pursed-lips breathing and expiratory muscle training) 48833 on dyspnea and functional performance. 48834 METHODS: A randomized, controlled design was used for the pilot study. 48835 Subjects recruited from the outpatient pulmonary clinic of a 48836 university-affiliated Veteran Affairs healthcare center were randomized 48837 to: 1) pursed-lips breathing, 2) expiratory muscle training, or 3) 48838 control. Changes over time in dyspnea [modified Borg after 6-minute 48839 walk distance (6MWD) and Shortness of Breath Questionnaire] and 48840 functional performance (Human Activity Profile and physical function 48841 scale of Short Form 36-item Health Survey) were assessed with a 48842 multilevel modeling procedure. Weekly laboratory visits for training 48843 were accompanied by structured verbal, written, and audiovisual 48844 instruction. 48845 RESULTS: Forty subjects with chronic obstructive pulmonary disease [age 48846 = 65 +/- 9 (mean +/- standard deviation) years, forced expiratory 48847 volume 1 second/ forced vital capacity % = 46 +/- 10, forced expiratory 48848 volume 1 second % predicted = 39 +/- 13, body mass index = 26 +/- 6 48849 kg/M-2, inspiratory muscle strength = 69 +/- 22 cm H2O, and expiratory 48850 muscle strength (PEmax) = 102 +/- 29 cm H2O] were enrolled. No 48851 significant Group x Time difference was present for PEmax (P = .93). 48852 Significant reductions for the modified Borg scale after 6MWD (P = .05) 48853 and physical function (P = .02) from baseline to 12 weeks were only 48854 present for pursed-lips breathing. 48855 CONCLUSION: Pursed-lips breathing provided sustained improvement in 48856 exertional dyspnea and physical function. 48857 C1 Univ Hawaii Manoa, Honolulu, HI 96822 USA. 48858 W Los Angeles Healthcare Ctr, VA Greater Los Angeles Healthcare Syst, Los Angeles, CA USA. 48859 Univ Calif Los Angeles, Geffen Sch Med, Los Angeles, CA USA. 48860 RP Nield, MA, Univ Hawaii Manoa, 2528 McCarthy Mall,Webster 414, Honolulu, 48861 HI 96822 USA. 48862 EM mnield@earthlink.net 48863 CR *AM THOR SOC, 1999, AM J RESP CRIT CARE, V159, P321 48864 BIANCHI R, 2004, CHEST, V125, P459 48865 BLACK LF, 1969, AM REV RESPIR DIS, V99, P696 48866 BURDON JGW, 1982, AM REV RESPIR DIS, V126, P825 48867 CELLI BR, 2004, EUR RESPIR J, V23, P932 48868 DAUGHTON DM, 1982, ARCH PHYS MED REHAB, V63, P620 48869 EAKIN EG, 1998, CHEST, V113, P619 48870 ELMANSHAWI A, 1986, J APPL PHYSIOL, V61, P896 48871 ELTAYARA L, 1996, AM J RESP CRIT CARE, V154, P1726 48872 FERRER M, 1997, ANN INTERN MED, V127, P1072 48873 GARROD R, 2005, CHRON RESP DIS, V2, P67 48874 GOLDSTEIN H, 2003, MULTILEVEL STAT MODE 48875 HOX JJ, 2002, MULTILEVEL ANAL TECH 48876 JONES AYM, 2003, PHYS THER, V83, P424 48877 MANNING HL, 1995, AM J RESP CRIT CARE, V151, P751 48878 MARIN JM, 2001, AM J RESP CRIT CARE, V163, P1395 48879 MCHORNEY CA, 1993, MED CARE, V31, P247 48880 MUELLER RE, 1970, J APPL PHYS, V28, P784 48881 NIELD M, 2000, HEART LUNG, V29, P50 48882 NIELD M, 2005, J CARDIOPULM REHABIL, V25, P115 48883 ODONNELL DE, 1987, AM REV RESPIR DIS, V135, P912 48884 ODONNELL DE, 1993, AM REV RESPIR DIS, V148, P1351 48885 ODONNELL DE, 1998, AM J RESP CRIT CARE, V157, P1489 48886 PITTA F, 2005, AM J RESP CRIT CARE, V171, P972 48887 SASSIDAMBRON DE, 1995, CHEST, V107, P724 48888 SINGER JD, 2003, APPL LONGITUDINAL DA 48889 SPAHIJA J, 2005, CHEST, V128, P640 48890 SPAHIJA JA, 1996, J APPL PHYSIOL, V80, P1772 48891 TIEP BL, 1986, CHEST, V90, P218 48892 WARE JE, 1992, MED CARE, V30, P473 48893 WARE JE, 1996, QUALITY LIFE PHARMAC, P337 48894 WEINER P, 2003, CHEST, V124, P1357 48895 WILSON RC, 1991, CLIN SCI, V80, P309 48896 WILSON RC, 1991, CLIN SCI, V80, P65 48897 NR 34 48898 TC 1 48899 PU LIPPINCOTT WILLIAMS & WILKINS 48900 PI PHILADELPHIA 48901 PA 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA 48902 SN 1932-7501 48903 J9 J CARDIOPULM REHABIL PREV 48904 JI J. Cardiopulm. Rehabil. Prev. 48905 PD JUL-AUG 48906 PY 2007 48907 VL 27 48908 IS 4 48909 BP 237 48910 EP 244 48911 PG 8 48912 SC Cardiac & Cardiovascular Systems 48913 GA 200AO 48914 UT ISI:000248736500009 48915 ER 48916 48917 PT J 48918 AU Langat, PK 48919 Raine, SR 48920 Smith, RJ 48921 AF Langat, Philip K. 48922 Raine, Steven R. 48923 Smith, Rod J. 48924 TI Errors in predicting furrow irrigation performance using single 48925 measures of infiltration 48926 SO IRRIGATION SCIENCE 48927 LA English 48928 DT Article 48929 ID REAL-TIME; PARAMETERS; MANAGEMENT; ADVANCE; OPTIMIZATION; EQUATIONS; 48930 MODEL 48931 AB Commercial performance evaluations of surface irrigation are commonly 48932 conducted using infiltration functions obtained at a single inflow 48933 rate. However, evaluations of alternative irrigation management (e.g. 48934 flow rate, cut-off strategy) and design (e.g. field length) options 48935 using simulation models often rely on this single measured infiltration 48936 function, raising concerns over the accuracy of the predicted 48937 performance improvements. Measured field data obtained from 12 48938 combinations of inflow rate and slope over two irrigations were used to 48939 investigate the accuracy of simulated surface irrigation performance 48940 due to changes in the infiltration. Substantial errors in performance 48941 prediction were identified due to (a) infiltration differences at 48942 various inflow rates and slopes and (b) the method of specifying the 48943 irrigation cut-off. Where the irrigation cut-off at various inflow 48944 rates was specified as a fixed time identified from simulations using 48945 the infiltration measured at a single inflow rate, then the predicted 48946 application efficiency was generally well correlated with the 48947 application efficiency measured under field conditions at the various 48948 inflow rates. However, the predictions of distribution uniformity (DU) 48949 were poor. Conversely, specifying the irrigation cut-off as a function 48950 of water advance distance resulted in adequate predictions of DU but 48951 poor predictions of application efficiency. Adjusting the infiltration 48952 function for the change in wetted perimeter at different inflow rates 48953 improved the accuracy of the performance predictions and substantially 48954 reduced the error in performance prediction associated with the cut-off 48955 recommendation strategy. 48956 C1 Univ So Queensland, Cooperat Res Ctr Irrigat Futures, Toowoomba, Qld 4350, Australia. 48957 Univ So Queensland, Natl Ctr Engn Agr, Fac Engn & Surveying, Toowoomba, Qld 4350, Australia. 48958 Univ So Queensland, Fac Engn & Surveying, Toowoomba, Qld 4350, Australia. 48959 RP Raine, SR, Univ So Queensland, Cooperat Res Ctr Irrigat Futures, 48960 Toowoomba, Qld 4350, Australia. 48961 EM raine@usq.edu.au 48962 CR *ASAE, 2003, EP419 ASAE 48963 ALVAREZ JAR, 2003, AGR WATER MANAGE, V60, P227 48964 CAMACHO E, 1997, J IRRIG DRAIN E-ASCE, V123, P264 48965 ENCISOMEDINA J, 1998, J IRRIG DRAIN E-ASCE, V124, P73 48966 GILLIES MH, 2005, IRRIGATION SCI, V24, P25 48967 HOLZAPFEL EA, 2004, AGR WATER MANAGE, V68, P19 48968 KHATRI KL, 2006, IRRIGATION SCI, V25, P33 48969 MAILHOL JC, 2005, IRRIGATION SCI, V24, P37 48970 MCCLYMONT DJ, 1996, IRRIGATION SCI, V17, P15 48971 MCCLYMONT DJ, 1996, P 13 C IRR ASS AUSTR 48972 MWATHA S, 2000, LAND WATER MANAGEMEN 48973 OYONARTE NA, 2002, J IRRIG DRAIN E-ASCE, V128, P26 48974 PEREIRA LS, 1999, CIGR HDB AGR ENG, V1, P297 48975 RAGHUWANSHI NS, 1997, J IRRIG DRAIN E-ASCE, V123, P377 48976 RAINE SR, 1997, P AUST SOC SUGAR TEC, V19, P293 48977 RAINE SR, 1998, P ASSSI NAT SOILS C, P311 48978 RAINE SR, 2005, IRRIGATION 2005 REST 48979 RASOULZADEH A, 2003, BIOSYST ENG, V86, P375 48980 SCHMITZ GH, 1993, J IRRIG DRAIN E-ASCE, V119, P443 48981 SCHWANKL LJ, 2000, J IRRIG DRAIN E-ASCE, V126, P355 48982 SMITH RJ, 2005, AGR WATER MANAGE, V71, P117 48983 STRELKOFF T, 1984, J IRRIG DRAIN E-ASCE, V110, P375 48984 WALKER WR, 1987, SURFACE IRRIGATION T 48985 WALKER WR, 2001, USERS GUIDE TECHNICA 48986 ZERIHUN D, 1996, J IRRIG DRAIN E-ASCE, V122, P49 48987 NR 25 48988 TC 0 48989 PU SPRINGER 48990 PI NEW YORK 48991 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 48992 SN 0342-7188 48993 J9 IRRIG SCI 48994 JI Irrig. Sci. 48995 PD JUL 48996 PY 2007 48997 VL 25 48998 IS 4 48999 BP 339 49000 EP 349 49001 PG 11 49002 SC Agricultural Engineering; Water Resources 49003 GA 186NJ 49004 UT ISI:000247785100003 49005 ER 49006 49007 PT J 49008 AU Doltra, J 49009 Oncins, JA 49010 Bonany, J 49011 Cohen, M 49012 AF Doltra, Jordi 49013 Oncins, Jose Antonio 49014 Bonany, Joan 49015 Cohen, Moshe 49016 TI Evaluation of plant-based water status indicators in mature apple trees 49017 under field conditions 49018 SO IRRIGATION SCIENCE 49019 LA English 49020 DT Article 49021 ID TRUNK DIAMETER CHANGES; PEACH-TREES; STEM DIAMETER; DEFICIT IRRIGATION; 49022 DIURNAL CHANGES; SAP FLOW; TRANSPIRATION; CONDUCTANCE; VARIABILITY; 49023 SENSITIVITY 49024 AB The performance of different indicators of plant water status as a tool 49025 for irrigation management was evaluated in mature field grown 'Golden 49026 Delicious' apple trees during the late summer of 1998. Control (C) and 49027 stress (S) treatments were studied. In the C treatment trees were 49028 irrigated daily at 100% ETc whereas in the S treatment water was 49029 withheld during 31 days (DOY's 236-266). Predawn water potential 49030 (Psi(pd)) and midday stem water potential (Psi(stem)) were measured 49031 several times a week during the experimental period. Three daily 49032 measurements of stomatal conductance (g(s)) and stem water potential 49033 were made during five consecutive days in mid-September. Trunk diameter 49034 changes (TDC) were recorded by LVDT sensors, and from these 49035 measurements, maximum daily shrinkage (MDS), daily growth (DG), and 49036 cumulative growth (CG) were calculated. Midday Psi(stem) showed the 49037 best ratio between the response to moderate water stress and tree 49038 variability ("signal/noise" ratio) among the indicators studied here, 49039 followed closely by Psi(pd). On the other hand, the poorest water 49040 status indicator was g(s). Due to the low trunk growth rate of the 49041 trees, and its high variability, DG and CG were not adequate 49042 indicators. MDS showed a lower sensitivity to water stress and a higher 49043 variability (CV = 0.19) than midday Psi(stem) (CV = 0.08) and Psi(pd) 49044 (CV = 0.10). However, MDS correlated well with ET0 and with midday 49045 Psi(stem) (R 2= 0.79) thus, making this parameter an interesting and 49046 promising tool for irrigation management in apple orchards. More 49047 research needs to be done in order to define reference values for MDS 49048 and plant water potential indicators, in relation to evaporative 49049 conditions and in different phenological periods, and to quantify the 49050 relationship between water status indicators values and apple tree 49051 yield and fruit quality. 49052 C1 IRTA, Dept Tecnol Hort, Barcelona 08348, Spain. 49053 Fdn Mas Badia, IRTA, Girona 17134, Spain. 49054 RP Doltra, J, IVIA, Dept Recursos Nat, Apdo Oficial, Valencia 46113, Spain. 49055 EM jdoltra@ivia.es 49056 CR ALARCON JJ, 2003, PLANT SOIL, V251, P125 49057 ALLEN RG, 1998, 56 FAO 49058 AMEGLIO T, 1991, THESIS U BLAISE PASC, P99 49059 AMEGLIO T, 1999, PLANT SOIL, V207, P155 49060 ANGELOCCI LR, 1993, J HORTIC SCI, V68, P299 49061 BROUGH DW, 1986, PLANT CELL ENVIRON, V9, P1 49062 BUSSI C, 1999, FRUITS, V54, P57 49063 CABIBEL B, 1997, AGRONOMIE, V17, P97 49064 COHEN M, 2001, J HORTIC SCI BIOTECH, V76, P55 49065 DIXON MA, 1984, PLANT CELL ENVIRON, V7, P693 49066 DOLTRA J, 1999, CATALUNYA RURAL AGRA, V57, P7 49067 ELDREDGE EP, 1993, AGRON J, V85, P1228 49068 FERERES E, 2003, J HORTIC SCI BIOTECH, V78, P139 49069 GARNIER E, 1985, J HORTIC SCI BIOTECH, V60, P47 49070 GINESTAR C, 1995, THESIS U POLITECNICA, P188 49071 GIRONA J, 2002, AGR WATER MANAGE, V54, P107 49072 GOLDHAMER D, 2000, ACTA HORTIC, V537, P431 49073 GOLDHAMER DA, 1999, J AM SOC HORTIC SCI, V124, P437 49074 GOLDHAMER DA, 2001, IRRIGATION SCI, V20, P115 49075 HILHORST MA, 1994, P S TDR ENV INFR MIN, P23 49076 HUGUET JG, 1992, J HORTIC SCI, V67, P631 49077 INTRIGLIOLO DS, 2004, IRRIGATION SCI, V23, P93 49078 KLEPPER B, 1971, PLANT PHYSIOL, V48, P683 49079 LAKSO AN, 1994, HDB ENV PHYSL FRUIT, V1, P3 49080 LANDSBERG JJ, 1976, J EXP BOT, V27, P579 49081 LI SH, 1989, IRRIG DRAIN, V3, P1 49082 MARSAL J, 2002, ACTA HORTIC, V596, P659 49083 MARSAL J, 2002, J HORTIC SCI BIOTECH, V77, P55 49084 MORIANA A, 2000, ACTA HORTIC, V537, P293 49085 MORIANA A, 2002, IRRIGATION SCI, V21, P83 49086 NAOR A, 1997, J HORTIC SCI, V72, P765 49087 NAOR A, 1998, J HORTIC SCI BIOTECH, V73, P431 49088 NAOR A, 2003, HORTSCIENCE, V38, P547 49089 NOBEL PS, 1991, PHYSICOCHEMICAL ENV 49090 ORTUNO MF, 2004, PLANT SCI, V167, P275 49091 PARLANGE JY, 1975, PLANT PHYSIOL, V55, P247 49092 PEARCY RW, 1989, PLANT PHYSL ECOLOGY, P137 49093 PERETZ J, 1984, T ASAE, V84, P437 49094 SCHMITZ M, 2000, IRRIGATION SCI, V19, P147 49095 SELLES G, 1990, ACTA HORTIC, V278, P87 49096 SHACKEL KA, 1997, HORTTECHNOLOGY, V7, P23 49097 SIMONNEAU T, 1993, J EXP BOT, V44, P615 49098 TOPP GC, 1980, WATER RESOUR RES, V16, P574 49099 TURNER NC, 1981, PLANT SOIL, V58, P339 49100 WRONSKI EB, 1985, PLANT CELL ENVIRON, V8, P613 49101 NR 45 49102 TC 0 49103 PU SPRINGER 49104 PI NEW YORK 49105 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 49106 SN 0342-7188 49107 J9 IRRIG SCI 49108 JI Irrig. Sci. 49109 PD JUL 49110 PY 2007 49111 VL 25 49112 IS 4 49113 BP 351 49114 EP 359 49115 PG 9 49116 SC Agricultural Engineering; Water Resources 49117 GA 186NJ 49118 UT ISI:000247785100004 49119 ER 49120 49121 PT J 49122 AU Adekalu, KO 49123 Fapohunda, HO 49124 AF Adekalu, K. O. 49125 Fapohunda, H. O. 49126 TI Comparisons of two soil water flow models under variable irrigation 49127 SO IRRIGATION SCIENCE 49128 LA English 49129 DT Article 49130 ID SIMULATION-MODEL; BALANCE 49131 AB Performance of WATCOM (a numerical model) and CRPSM (a simple water 49132 balance model) were assessed in simulating root zone water storage and 49133 water balance components under cowpea in Nigeria using a line source 49134 sprinkler system. Three sets of field data were collected: the first 49135 was used for calibration and model parameters' estimation and the other 49136 two for testing and comparisons. The simulated soil water storage and 49137 crop evapotranspiration with WATCOM and CRPSM were in good agreement 49138 with field-measured data though WATCOM performed significantly better 49139 (P < 0.05) under the stressed condition. The maximum average error 49140 between predicted and measured soil water storage was -0.95 and +1.47 49141 mm for WATCOM and CRPSM, respectively, while that between measured and 49142 predicted actual crop evapotranspiration was +2.7 and +11.38 mm, 49143 respectively, for the two models. WATCOM gave generally higher 49144 cumulative deep percolation and lower evapotranspiration than that of 49145 CRPSM for all irrigation levels (P < 0.05), and values of deep 49146 percolation for WATCOM were in better agreement with field data than 49147 that of CRPSM. This suggests that drainage below the field capacity 49148 needs to be included in CRPSM and that WATCOM will be a more useful 49149 management tool when detailed soil parameter is required and under 49150 variable water regime. 49151 C1 Obafemi Awolowo Univ, Dept Agr Engn, Ife, Nigeria. 49152 RP Adekalu, KO, Obafemi Awolowo Univ, Dept Agr Engn, Ife, Nigeria. 49153 EM koadekalu2002@yahoo.co.uk 49154 CR *FAO, 1998, 56 FAO 49155 ALLMARAS RR, 1975, SOIL SCI SOC AM J, V39, P764 49156 ARORA VK, 1987, WATER RESOUR RES, V23, P903 49157 ARORA VK, 1996, AGR WATER MANAGE, V31, P51 49158 BELMANS C, 1983, J HYDROL, V63, P271 49159 CLEMENTE RS, 1994, AGR WATER MANAGE, V25, P135 49160 DASILVA CC, 1986, AGR FOREST METEOROL, V36, P249 49161 DYER JA, 1984, 1984IE LAND RES RES 49162 FARIA RT, 1994, CANADIAN AGR ENG, V36, P57 49163 HANKS RJ, 1976, SOIL SCI SOC AM J, V40, P426 49164 HAYHOE HN, 1982, COMPUTER SIMULATION 49165 HAYHOE HN, 1988, CAN AGR ENG, V30, P5 49166 HILL RW, 1996, CROP YIELD MODELS AD 49167 MCGOWAN M, 1980, J SOIL SCI, V31, P218 49168 SAXTON KE, 1974, T ASAE, V17, P673 49169 SCHWAB GO, 1992, SOIL WATER CONSERVAT, P49 49170 VANCLOOSTER M, 1994, WAVE MATH MODEL SIMU 49171 VANGENUCHTEN MT, 1991, EPA600291065 49172 WAGENET RJ, 1989, LEACHM LEACHING ESTI 49173 NR 19 49174 TC 0 49175 PU SPRINGER 49176 PI NEW YORK 49177 PA 233 SPRING STREET, NEW YORK, NY 10013 USA 49178 SN 0342-7188 49179 J9 IRRIG SCI 49180 JI Irrig. Sci. 49181 PD JUL 49182 PY 2007 49183 VL 25 49184 IS 4 49185 BP 375 49186 EP 385 49187 PG 11 49188 SC Agricultural Engineering; Water Resources 49189 GA 186NJ 49190 UT ISI:000247785100006 49191 ER 49192 49193 PT J 49194 AU Verheijen, T 49195 Dobrolyubova, Y 49196 AF Verheijen, Tony 49197 Dobrolyubova, Yelena 49198 TI Performance management in the Baltic States and Russia: success against 49199 the odds? 49200 SO INTERNATIONAL REVIEW OF ADMINISTRATIVE SCIENCES 49201 LA English 49202 DT Article 49203 DE Latvia; Lithuania; public management reforms; Russia 49204 AB This article analyses the public management reform process in Latvia, 49205 Lithuania and Russia, the only three post-Communist states that have 49206 sought to introduce comprehensive performance management systems in the 49207 public sector. The central premise of the article is that the 49208 introduction of such reforms can be successful even in public 49209 management systems that are not 'advanced'. This contradicts the widely 49210 held notion that performance-based public management systems are not 49211 suitable for 'developing' countries. The article concludes that if 49212 sufficient political support and a dedicated reform team in the civil 49213 service are present, and performance management systems are introduced 49214 in a step-by-step manner, significant improvement in the effectiveness 49215 and efficiency of public management systems can be achieved. The case 49216 of the two Baltic States studied in the article, which moved from being 49217 laggards in the EU accession process to among its best performing 49218 members, provides a strong argument that a more radical approach to 49219 public management reform can pay off, even in public management systems 49220 in development. 49221 C1 World Bank, Publ Sector & Capac Bldg Dept, Washington, DC 20433 USA. 49222 Univ Limerick, Limerick, Ireland. 49223 Leiden Univ, NL-2300 RA Leiden, Netherlands. 49224 World Bank, Russia Country Off, Washington, DC 20433 USA. 49225 RP Verheijen, T, World Bank, Publ Sector & Capac Bldg Dept, 1818 H St NW, 49226 Washington, DC 20433 USA. 49227 CR *HSE, 2004, REF GOD UPR ROSS VZG 49228 *OECD, 2003, OECD WB BUDG PRACT P 49229 *OECD, 2005, MOD GOV WAY FORW 49230 *WOLD BANK, 2004, RUSS CIV SERV REF HI 49231 *WORLD BANK, 2004, LITH PERF MAN REV AS 49232 *WORLD BANK, 2005, INCR GOV EFF 49233 *WORLD BANK, 2006, ADM CAP NEW MEMB STA 49234 *WORLD BANK, 2006, I REF RUSS DES IMPL 49235 BOUCKAERT GD, 2000, POTENTIAL GOVERNANCE 49236 EVANS A, 2001, J EUR PUBLIC POLICY, V8, P933 49237 HALLIGAN J, 2003, CIVIL SERVICE SYSTEM 49238 HOLKERI K, 2004, STRATEGIA REFORMY GO 49239 KOTCHEGURA A, 1999, CIVIL SERVICE SYSTEM, CH3 49240 LAEGREID P, 2002, NEW PUBLIC MANAGEMEN, CH1 49241 LUNDHOLM G, 2005, ANK WORKSH STRAT PLA 49242 MOL N, 2004, INT REV ADM SCI, V50, P33 49243 PETERS BG, 2005, COALITIONS UNWILLING 49244 POLLITT C, 2000, PUBLIC MANAGEMENT RE 49245 POLLITT C, 2005, PERFORMANCE MANAGEME 49246 SCHICK A, 1997, WORLD BANK RES OBSER, P23 49247 NR 20 49248 TC 0 49249 PU SAGE PUBLICATIONS LTD 49250 PI LONDON 49251 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 49252 SN 0020-8523 49253 J9 INT REV ADM SCI 49254 JI Int. Rev. Adm. Sci. 49255 PD JUN 49256 PY 2007 49257 VL 73 49258 IS 2 49259 BP 205 49260 EP 215 49261 PG 11 49262 SC Public Administration 49263 GA 187TM 49264 UT ISI:000247871400003 49265 ER 49266 49267 PT J 49268 AU van Witteloostuijn, A 49269 de Jong, G 49270 AF van Witteloostuijn, Arjen 49271 de Jong, Gjalt 49272 TI The evolution of higher education rules: evidence for an ecology of law 49273 SO INTERNATIONAL REVIEW OF ADMINISTRATIVE SCIENCES 49274 LA English 49275 DT Article 49276 DE ecology of rules; higher education; minister profiles; rule evolution 49277 ID PERFORMANCE; MANAGEMENT; GOVERNMENT 49278 AB Politicians have displayed a keen interest in the build-up of 49279 regulations and bureaucracies for quite some time now. A case in point 49280 is the Netherlands. The second Balkenende cabinet, though, vowed to 49281 downsize the number of rules as one of its main policy initiatives. 49282 Evaluating the success of such a policy requires the measurement of 49283 changes in rule volumes. Doing so is no easy task. Using higher 49284 education legislation as a case study, this article attempts to chart 49285 and explain developments in regulation volumes for the period 49286 1986-2004. For the time being, there appears to be no evidence that 49287 rule levels are on the decline in fact, the reverse is the case. We 49288 also provide evidence for a so-called ecology of law, suggesting that 49289 the rules-breed-rules mechanism is difficult to put to a halt. 49290 C1 Univ Antwerp, B-2020 Antwerp, Belgium. 49291 Univ Durham, Durham DH1 3HP, England. 49292 Univ Utrecht, NL-3508 TC Utrecht, Netherlands. 49293 Univ Groningen, NL-9700 AB Groningen, Netherlands. 49294 RP van Witteloostuijn, A, Univ Antwerp, B-2020 Antwerp, Belgium. 49295 CR *ALG REK COURT AUD, 2004, AAND FIN GEV EUR BEL 49296 *WET RAAD REG SCI, 2004, BEW GOED DIENSTV 49297 ANDEWEG RB, 1992, LEGISLATIVE STUDIES, V2, P161 49298 ANDEWEG RB, 2005, GOVERNANCE POLITICS 49299 ANDEWEG RB, 2005, LEGISLATIVE STUDIES, V4, P151 49300 BLOMHANSEN J, 2003, EUROPAEISKE FORBINDE 49301 BLOSSFELD HP, 1995, TECHNIQUES EVENT HIS 49302 BOEKHOLT PTF, 1987, GESCHIEDENIS SCH NED 49303 BOONE C, 2002, AM SOCIOL REV, V67, P408 49304 BOONE C, 2004, ACAD MANAGE J, V47, P633 49305 BOONE C, 2005, ACAD MANAGE J, V48, P889 49306 BOVENS M, 2004, 2004 EGPA C 4 MONTHS 49307 BOZEMAN B, 1993, J PUBL ADM RES THEOR, V3, P273 49308 BUITER WH, 2005, BUREAUCRATISERING OV 49309 CAPELLERAS JL, 2005, DO MORE HEAVILY REGU 49310 DEJONG E, 2004, BELEIDSWETENSCHAP, V3, P223 49311 DEVRIES MS, 2000, INT REV ADM SCI, V66, P325 49312 DEVRIES MS, 2002, INT REV ADM SCI, V68, P599 49313 DODDE NL, 1993, DAG MAMMOET VERLEDEN 49314 FINKELSTEIN S, 1996, STRATEGIC LEADERSHIP 49315 KNIPPENBERG H, 1994, BRON AANHOUDENDE ZOR 49316 LATORRE M, 1997, RATIO JURIS, V10, P316 49317 MARCH JG, 2000, DYNAMICS RULES CHANG 49318 OLSON M, 1996, J ECON PERSPECT, V10, P3 49319 PAGE EC, 1998, PUBLIC ADMIN, V76, P803 49320 PENNINGS JM, 1998, ACAD MANAGE J, V41, P425 49321 POLLITT C, 2006, J PUBL ADM RES THEOR, V16, P25 49322 POSTMA A, 1995, HDB NEDERLANDSE ONDE 49323 SCHULZ M, 1998, ADMIN SCI QUART, V43, P845 49324 TANG P, 2004, REDUCING ADM BURDEN 49325 VANHEEL PAD, 2004, REGELDRUK OCW INSTEL 49326 VANWITTELOOSTUIJN A, 2003, INT J SOCIOL LAW, V31, P55 49327 VERMEULEN BP, 1999, CONSTITUTIONEEL ONDE 49328 WATSON A, 1985, LAW HIST REV, V87, P537 49329 ZOONTJENS PJJ, 1999, INLEIDING ONDERWIJSW 49330 NR 35 49331 TC 0 49332 PU SAGE PUBLICATIONS LTD 49333 PI LONDON 49334 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 49335 SN 0020-8523 49336 J9 INT REV ADM SCI 49337 JI Int. Rev. Adm. Sci. 49338 PD JUN 49339 PY 2007 49340 VL 73 49341 IS 2 49342 BP 235 49343 EP 255 49344 PG 21 49345 SC Public Administration 49346 GA 187TM 49347 UT ISI:000247871400005 49348 ER 49349 49350 PT J 49351 AU Bourgault, J 49352 AF Bourgault, Jacques 49353 TI Corporate management at top level of governments: the Canadian case 49354 SO INTERNATIONAL REVIEW OF ADMINISTRATIVE SCIENCES 49355 LA English 49356 DT Article 49357 DE assessment of performance; bureaucracy; corporate management; 49358 government; holistic management; horizontal management; 49359 results-oriented management; senior civil service; transversal 49360 management 49361 AB To coordinate action, reduce bureaucratic in-fighting and favour the 49362 efficient implementation of the governmental agenda, governments are 49363 tending to use more collaborative and holistic tools. In Canada, within 49364 the federal and provincial governments, relatively integrated corporate 49365 management tools have been established for senior civil servants and 49366 their work. On the basis of interviews and discussions, this article 49367 presents the three types of tools used (a senior personnel secretariat 49368 reporting to the head of government, an integrated organizational 49369 system and the development of a community culture), which provide: a 49370 framework for the development, orientation, integration and support for 49371 the most senior managers; strategic, coordination and learning meetings 49372 for the entire group; and individualized HRM tools. Despite obstacles 49373 to it, and its risks, all of those surveyed conclude that this model is 49374 considered, in the Canadian context, both effective and satisfactory. 49375 C1 Univ Quebec, Montreal, PQ G1V 2M3, Canada. 49376 CR *COMM FIN ASP CORP, 1992, CAD REP 49377 *GOUV QUEB, 2006, EXP SES 49378 ABERBACH JD, 1981, BUREAUCRATS POLITICI 49379 BAKVIS H, 2004, DEFI HORIZONTALITE M 49380 BARDACH E, 1998, GETTING AGENCIES WOR 49381 BERNIER L, 2005, EXECUTIVE STYLES CAN 49382 BOURGAULT J, 1990, ADM PUBLIQUE CANADA, V33, P414 49383 BOURGAULT J, 1993, PUBLIC ADMIN REV, V53, P73 49384 BOURGAULT J, 1997, GESTION, V22, P18 49385 BOURGAULT J, 1998, OPTIMUM, V27, P14 49386 BOURGAULT J, 2002, CONT ROLE CHALLENGES 49387 BOURGAULT J, 2002, HORIZONTALITE GESTIO 49388 BOURGAULT J, 2003, ROLE DEFIS CONT MINI 49389 BOURGAULT J, 2004, STRUCTURES GESTION E 49390 BOURGON J, 2004, C GROUP AM SEN FRANC 49391 BOVAIRD A, 2003, PUBLIC MANAGEMENT GO 49392 BOZEMAN B, 2000, BUREAUCRACY RED TAPE 49393 CAPUL JY, 1998, CAHIERS FRANCAIS, V287, P57 49394 CLARKE RA, 2004, ALL ENEMIES 49395 COLLINS J, 2001, GOOD GREAT 49396 CROZIER M, 1992, ACTEUR SYSTEME 49397 DUNN C, 1995, I CABINET GOVERNING 49398 GOW JI, 2004, MODELE CANADIEN ADM 49399 GUAY MM, 2003, GUIDE MENTORAT FONCT 49400 KROEGER A, 1998, GESTION CHANGEMENT S, P24 49401 LEAT P, 2002, HOLISTIC GOVERNANCE 49402 PENY P, 2006, PERFORMANCES SEP 49403 PERROW C, 1986, COMPLEX ORG CRITICAL 49404 PETERS BG, 1998, GESTION GOUVERNEMENT 49405 PIERRE J, 2005, GOVERNING COMPLEX SO 49406 PLOWDEN W, 1994, MINISTERS MANDARINS 49407 PODGER A, 2004, AUST J PUBL ADMIN, V63, P108 49408 PRESSMAN JL, 1984, IMPLEMENTATION GREAT 49409 RHODES RAW, 2004, AM REV PUBLIC ADM, V35, P3 49410 SAVOIE D, 2005, OPTIONS POLITIQUES, V25, P52 49411 WEBB NJ, 2006, INT PUBLIC MANAGEMEN, V7, P98 49412 NR 36 49413 TC 0 49414 PU SAGE PUBLICATIONS LTD 49415 PI LONDON 49416 PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND 49417 SN 0020-8523 49418 J9 INT REV ADM SCI 49419 JI Int. Rev. Adm. Sci. 49420 PD JUN 49421 PY 2007 49422 VL 73 49423 IS 2 49424 BP 257 49425 EP 274 49426 PG 18 49427 SC Public Administration 49428 GA 187TM 49429 UT ISI:000247871400006 49430 ER 49431 49432 PT J 49433 AU Biagi, R 49434 Bart-Smith, H 49435 AF Biagi, Russell 49436 Bart-Smith, Hilary 49437 TI Imperfection sensitivity of pyramidal core sandwich structures 49438 SO INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES 49439 LA English 49440 DT Article 49441 DE cellular metals; pyramidal lattice; failure modes; sandwich panels; 49442 imperfections 49443 ID CELLULAR METALS; HOLLOW TRUSSES; PERFORMANCE; DESIGN; PANELS; PLATES; 49444 BEAMS 49445 AB Lightweight metallic truss structures are currently being investigated 49446 for use within sandwich panel construction. These new material systems 49447 have demonstrated superior mechanical performance and are able to 49448 perform additional functions, such as thermal management and energy 49449 amelioration. The subject of this paper is an examination of the 49450 mechanical response of these structures. In particular, the retention 49451 of their stiffness and load capacity in the presence of imperfections 49452 is a central consideration, especially if they are to be used for a 49453 wide range of structural applications. To address this issue, sandwich 49454 panels with pyramidal truss cores have been tested in compression and 49455 shear, following the introduction of imperfections. These imperfections 49456 take the form of unbound nodes between the core and face sheets-a 49457 potential flaw that can occur during the fabrication process of these 49458 sandwich panels. Initial testing of small scale samples in compression 49459 provided insight into the influence of the number of unbound nodes but 49460 more importantly highlighted the impact of the spatial configuration of 49461 these imperfect nodes. Large scale samples, where bulk properties are 49462 observed and edge effects minimized, have been tested. The stiffness 49463 response has been compared with finite element simulations for a 49464 variety of unbound node configurations. Results for fully bound cores 49465 have also been compared to existing analytical predictions. 49466 Experimentally determined collapse strengths are also reported. Due to 49467 the influence of the spatial configuration of unbound nodes, upper and 49468 lower limits on stiffness and strength have been determined for 49469 compression and shear. Results show that pyramidal core sandwich 49470 structures are robust under compressive loading. However, the 49471 introduction of these imperfections causes rapid degradation of core 49472 shear properties. (c) 2006 Elsevier Ltd. All rights reserved. 49473 C1 Univ Virginia, Dept Mech & Aerosp Engn, Charlottesville, VA 22904 USA. 49474 RP Bart-Smith, H, Univ Virginia, Dept Mech & Aerosp Engn, Charlottesville, 49475 VA 22904 USA. 49476 EM hb8h@virginia.edu 49477 CR *ABK, 2002, AB US MAN 49478 *ASTM, 2000, C27300 ASTM 49479 *ASTM, 2000, C36500 ASTM 49480 ALLEN HG, 1969, ANAL DESIGN STRUCTUR 49481 ASHBY MF, 2000, METAL FOAMS DESIGN G 49482 BARTSMITH H, 2001, INT J MECH SCI, V43, P1945 49483 BIAGI R, 2006, IMPERFECTION SENSITI 49484 BITZER T, 1997, HONEYCOMB TECHNOLOGY 49485 CHEN C, 1999, J MECH PHYS SOLIDS, V47, P2235 49486 CHEN C, 2001, INT J MECH SCI, V43, P487 49487 CHIRAS S, 2002, INT J SOLIDS STRUCT, V39, P4093 49488 CHRISTENSEN RM, 2000, INT J SOLIDS STRUCT, V37, P93 49489 DESHPANDE VS, 2001, INT J SOLIDS STRUCT, V38, P6275 49490 DESHPANDE VS, 2001, J MECH PHYS SOLIDS, V49, P1747 49491 EVANS AG, 1998, PROG MATER SCI, V43, P171 49492 EVANS AG, 2001, PROG MATER SCI, V46, P309 49493 FLECK NA, 2004, J APPL MECH-T ASME, V71, P386 49494 GIBSON LJ, 1997, CELLULAR SOLIDS STRU 49495 GRIMMETT G, 1999, PERCOLATION 49496 GU S, 2001, INT J HEAT MASS TRAN, V44, P2163 49497 QUEHEILLALT DT, 2005, ACTA MATER, V53, P303 49498 QUEHEILLALT DT, 2005, MAT SCI ENG A-STRUCT, V397, P132 49499 RATHBUN HJ, 2005, INT J SOLIDS STRUCT, V43, P1748 49500 SHANLEY FR, 1967, MECH MAT 49501 STAUFFER D, 1992, INTRO PERCOLATION TH 49502 SUGIMURA Y, 2004, MECH MATER, V36, P715 49503 SYPECK DJ, 2002, ADV ENG MATER, V4, P759 49504 WADLEY HNG, 2003, COMPOS SCI TECHNOL, V63, P2331 49505 WALLACH JC, 2001, INT J SOLIDS STRUCT, V38, P7181 49506 WALLACH JC, 2001, SCRIPTA MATER, V45, P639 49507 WICKS N, 2001, INT J SOLIDS STRUCT, V38, P5165 49508 WICKS N, 2004, MECH MATER, V36, P739 49509 XUE ZY, 2004, INT J NUMER METH ENG, V61, P2205 49510 ZOK FW, 2003, INT J SOLIDS STRUCT, V40, P5707 49511 ZOK FW, 2004, INT J SOLIDS STRUCT, V41, P6249 49512 NR 35 49513 TC 0 49514 PU PERGAMON-ELSEVIER SCIENCE LTD 49515 PI OXFORD 49516 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND 49517 SN 0020-7683 49518 J9 INT J SOLIDS STRUCT 49519 JI Int. J. Solids Struct. 49520 PD JUL 49521 PY 2007 49522 VL 44 49523 IS 14-15 49524 BP 4690 49525 EP 4706 49526 PG 17 49527 SC Mechanics 49528 GA 189LF 49529 UT ISI:000247989700007 49530 ER 49531 49532 PT J 49533 AU Jasimuddin, SM 49534 AF Jasimuddin, Sajjad M. 49535 TI Exploring knowledge transfer mechanisms: The case of a UK-based group 49536 within a high-tech global corporation 49537 SO INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT 49538 LA English 49539 DT Article 49540 DE knowledge management; knowledge transfer; knowledge; mechanisms 49541 ID COMPETITIVE ADVANTAGE; TACIT KNOWLEDGE; WEAK TIES; PERFORMANCE; 49542 MANAGEMENT; NETWORKS; CREATION; STRATEGY; SEARCH; IMPACT 49543 AB Knowledge transfer constitutes a strategic area of knowledge management 49544 research. However, little is known about the circumstances under which 49545 one particular mechanism is the most appropriate and the other one is 49546 not. To address these issues, the present study reports the result from 49547 a large multinational corporation involved in software development. 49548 This paper yields some very interesting findings concerning knowledge 49549 transfer mechanisms in a real-world setting, investigating why its 49550 software engineers employ one mechanism than the other. The findings 49551 imply that the three key variables, namely status, personal ties, and 49552 proximity, act as a powerful force in exploring an appropriate 49553 knowledge transfer mechanism, which based on case evidence leads to an 49554 interesting decision tree of media user for different transfer 49555 situations. (C) 2007 Elsevier Ltd. All rights reserved. 49556 C1 Univ Coll Wales Aberystwyth, Sch Management & Business, Aberystwyth SY23 3DD, Dyfed, Wales. 49557 RP Jasimuddin, SM, Univ Coll Wales Aberystwyth, Sch Management & Business, 49558 Cledwyn Bldg, Aberystwyth SY23 3DD, Dyfed, Wales. 49559 EM smj@aber.ac.uk 49560 CR ALBINO V, 1999, TECHNOVATION, V19, P53 49561 ARGOTE L, 2000, ORGAN BEHAV HUM DEC, V82, P150 49562 BOUTY I, 2000, ACAD MANAGE J, V43, P50 49563 BUCHEL B, 2001, HDB ORG LEARNING KNO 49564 CARBONARA N, 2003, TECHNOVATION, V25, P213 49565 CONNELL NAD, 2003, J OPER RES SOC, V54, P140 49566 CONSTANT D, 1996, ORGAN SCI, V7, P119 49567 CROSS R, 2001, ORGAN DYN, V30, P100 49568 DAFT RL, 1987, MIS QUART, V11, P355 49569 DAVENPORT TH, 1998, WORKING KNOWLEDGE OR 49570 DAY GS, 1994, J MARKETING, V58, P31 49571 DECAROLIS DM, 1999, STRATEGIC MANAGE J, V20, P953 49572 GRANELL S, 2004, BMC GASTROENTEROL, V4 49573 HACKNEY R, 2005, 2 INT C KNOWL MAN CH 49574 HALDINHERRGARD T, 2000, J INTELLECTUAL CAPIT, V1, P357 49575 HANSEN MT, 1999, ADMIN SCI QUART, V44, P82 49576 HANSEN MT, 1999, HARVARD BUS REV, V77, P106 49577 JASIMUDDIN SM, 2006, ADV DOCTORAL RES MAN, V1 49578 JOHANNESSEN JA, 2003, INT J INFORM MANAGE, V23, P277 49579 LAM A, 2000, ORGAN STUD, V21, P487 49580 MILES MB, 1994, QUALITATIVE DATA ANA 49581 POLANYI M, 1958, PERSONAL KNOWLEDGE 49582 SCARBROUGH H, 1999, TECHNOL ANAL STRATEG, V11, P5 49583 TSAI WP, 1998, ACAD MANAGE J, V41, P464 49584 YIN RK, 1994, CASE STUDY RES DESIG 49585 ZACK MH, 1999, CALIF MANAGE REV, V41, P125 49586 NR 26 49587 TC 0 49588 PU ELSEVIER SCI LTD 49589 PI OXFORD 49590 PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND 49591 SN 0268-4012 49592 J9 INT J INFORM MANAGE 49593 JI Int. J. Inf. Manage. 49594 PD AUG 49595 PY 2007 49596 VL 27 49597 IS 4 49598 BP 294 49599 EP 300 49600 PG 7 49601 SC Information Science & Library Science 49602 GA 189LB 49603 UT ISI:000247989300007 49604 ER 49605 49606 PT J 49607 AU Jimenez-Jimenez, D 49608 Cegarra-Navarro, JG 49609 AF Jimenez-Jimenez, Daniel 49610 Cegarra-Navarro, Juan G. 49611 TI The performance effect of organizational learning and market orientation 49612 SO INDUSTRIAL MARKETING MANAGEMENT 49613 LA English 49614 DT Review 49615 DE organizational learning; learning orientation; market orientation; 49616 performance; competitive advantage 49617 ID SUSTAINED COMPETITIVE ADVANTAGE; BUSINESS PROFITABILITY; CUSTOMER 49618 ORIENTATION; MISSING LINK; FIRM; ANTECEDENTS; KNOWLEDGE; CONSEQUENCES; 49619 CAPABILITIES; CORPORATION 49620 AB In recent decades an important set of articles on management has 49621 focused upon the marketing concept and the related construct of market 49622 orientation. The next challenge is to understand how this 49623 organizational orientation can be achieved and maintained. Using data 49624 from 451 companies and through structural equation models, this study 49625 considers that organizational learning represents the capacity of a 49626 company to move from a given situation to another desired situation of 49627 market orientation and performance. The results suggest that the 49628 influence of market orientation on performance is only significant when 49629 it is mediated by organizational learning. The results also indicate 49630 that organizational learning has a positive effect on performance. (c) 49631 2006 Elsevier Inc. All rights reserved. 49632 C1 Univ Murcia, Dept Org Empresas & Finanzas, Fac Econ & Empresa, E-30100 Murcia, Spain. 49633 Univ Politecn Cartagena, Dept Econ Empresa, Fac Ciencias Empresa, Murcia 30203, Spain. 49634 RP Jimenez-Jimenez, D, Univ Murcia, Dept Org Empresas & Finanzas, Fac Econ 49635 & Empresa, Campus Espinardo, E-30100 Murcia, Spain. 49636 EM danieljj@um.es 49637 juan.cegarra@upct.es 49638 CR *OECD, 2005, OECD EC SURV SPAIN 49639 ACHROL RS, 1991, J MARKETING, V55, P77 49640 AGGARWAL N, 2004, MARKETING INTELLIGEN, V22, P700 49641 ANDERSON JC, 1988, PSYCHOL BULL, V103, P411 49642 ARGYRIS C, 1976, ADM SCI Q, V21, P363 49643 ARGYRIS C, 1978, ORG LEARNING THEORY 49644 ARMSTRONG A, 2003, LEARNING ORG, V10, P74 49645 BAGOZZI RP, 1980, CAUSAL MODELS MARKET 49646 BAGOZZI RP, 1988, J ACADEMY MARKETING, V16, P74 49647 BAKER WE, 1999, J ACAD MARKET SCI, V27, P411 49648 BAKER WE, 1999, J MARKET FOCUSED MAN, V4, P295 49649 BAKER WE, 2002, J MARKET FOCUSED MAN, V5, P5 49650 BARNEY J, 1991, J MANAGE, V17, P99 49651 BARNEY JB, 1986, ACAD MANAGE REV, V11, P656 49652 BARNEY JB, 1986, MANAGE SCI, V32, P1231 49653 BELL SJ, 2002, J ACAD MARKET SCI, V30, P70 49654 BONTIS N, 2002, J MANAGE STUD, V39, P437 49655 BROCKMAND B, 2003, DECISION SCI, V32, P385 49656 BROWN JS, 1991, ORGAN SCI, V2, P40 49657 CANGELOSI VE, 1965, ADM SCI Q, V10, P175 49658 CARMINES EG, 1981, SOCIAL MOVEMENT CURR 49659 CELUCH KG, 2002, IND MARKET MANAG, V31, P545 49660 CHAPMAN RL, 1959, MANAGE SCI, V5, P250 49661 CHURCHILL GA, 1979, J MARKETING RES, V16, P64 49662 CROSSAN M, 1995, INT J ORG ANAL, V3, P337 49663 CROSSAN MM, 1999, ACAD MANAGE REV, V24, P522 49664 CYERT RM, 1963, BEHAV THEORY FIRM 49665 DAFT RL, 1984, ACAD MANAGE REV, V9, P2 49666 DAY GS, 1994, CALIF MANAGE REV, V36, P9 49667 DAY GS, 1994, J MARKETING, V58, P37 49668 DEAN JW, 1991, ACAD MANAGE J, V34, P776 49669 DEGEUS AP, 1988, HARVARD BUS REV, V66, P70 49670 DESHPANDE R, 1993, J MARKETING, V57, P23 49671 DESS GG, 1984, STRATEGIC MANAGE J, V5, P265 49672 DICKSON PR, 1992, J MARKETING, V56, P69 49673 DICKSON PR, 1996, J MARKETING, V60, P102 49674 DIXON NM, 1992, HUMAN RESOURCE DEV Q, V3, P29 49675 DODGSON M, 1993, ORGAN STUD, V14, P375 49676 DOYLE P, 1998, EUR J MARKETING, V32, P514 49677 EASTERBYSMITH M, 1997, HUM RELAT, V50, P1085 49678 EDMONDSON A, 1998, MANAGE LEARN, V29, P5 49679 EDMONDSON B, 1998, ORG LEARNING COMPETI 49680 EPPLE D, 1991, ORGAN SCI, V2, P58 49681 FARRELL MA, 2000, AUSTR J MANAGEMENT, V25, P201 49682 FARRELL MA, 2002, J MARKET FOCUSED MAN, V5, P197 49683 FIOL CM, 1985, ACAD MANAGE REV, V10, P803 49684 FORNELL C, 1981, J MARKETING RES, V18, P39 49685 GARVIN DA, 1993, HARVARD BUS REV, V71, P78 49686 GRANT RM, 1996, STRATEGIC MANAGE J, V17, P109 49687 GREENLEY GE, 1995, BRIT J MANAGE, V6, P1 49688 HAN JK, 1998, J MARKETING, V62, P30 49689 HART S, 1993, EUR J MARKETING, V27, P54 49690 HARVEY C, 1999, J MANAGE STUD, V36, P897 49691 HIRSCHMAN AO, 1962, BEHAV SCI, V8, P211 49692 HOOLEY G, 1999, J MARKET FOCUSED MAN, V4, P259 49693 HOYLE RH, 1995, STRUCTURAL EQUATION 49694 HUBER GP, 1991, ORGAN SCI, V2, P88 49695 HULT GTM, 2001, STRATEGIC MANAGE J, V22, P899 49696 HUNT SD, 1996, J MARKETING, V60, P107 49697 HURLEY RF, 1998, J MARKETING, V62, P42 49698 JAWORSKI BJ, 1993, J MARKETING, V57, P53 49699 JONES AM, 1994, BRIT J MANAGE, V5, P153 49700 JORESKOG KG, 1978, PSYCHOMETRIKA, V43, P443 49701 KELLOWAY EK, 1998, USING LISREL STRUCTU 49702 KOFFMAN F, 1993, ORGAN DYN, V22, P5 49703 KOGUT B, 1993, J INT BUS STUD, V24, P625 49704 KOHLI AK, 1990, J MARKETING, V54, P1 49705 KOHLI AK, 1993, J MARKETING RES, V30, P467 49706 KULULANGA GK, 2001, BUILD RES INF, V29, P21 49707 LEONARDBARTON D, 1992, SLOAN MANAGE REV, V34, P23 49708 LOPEZ SP, 2004, J KNOWLEDGE MANAGEME, V8, P93 49709 LUKAS BA, 1996, J BUS RES, V36, P233 49710 MARCH JG, 1975, EUROPEAN J POLITICAL, V3, P147 49711 MARCH JG, 1991, ORGAN SCI, V2, P71 49712 MATLAY H, 1997, LEARNING ORG CONTEXT 49713 MCGILL ME, 1992, ORGAN DYN, V21, P5 49714 NARVER JC, 1990, J MARKETING, V54, P20 49715 NEVIS EC, 1995, SLOAN MANAGE REV, V36, P73 49716 NONAKA I, 1995, KNOWLEDGE CREATING C 49717 OCZKOWSKI E, 1998, INT J RES MARK, V15, P349 49718 PODSAKOFF PM, 2003, J APPL PSYCHOL, V88, P879 49719 PRAHALAD CK, 1990, HARVARD BUS REV, V68, P79 49720 QUINN RE, 1983, MANAGE SCI, V29, P363 49721 ROMME G, 1997, EUROPEAN MANAGEMENT, V15, P68 49722 RUEKERT RW, 1992, INT J RES MARK, V9, P225 49723 SANTOSVIJANDE ML, 2005, IND MARKET MANAG, V34, P187 49724 SAXE R, 1982, J MARKETING RES, V19, P343 49725 SCHNEIDER SC, 1993, ORGAN STUD, V14, P323 49726 SENGE PM, 1990, 5 DISCPLINE ART PRAC 49727 SHAPIRO BP, 1988, HARVARD BUS REV, V66, P119 49728 SHRIVASTAVA P, 1983, J MANAGE STUD, V20, P7 49729 SINKULA JM, 1994, J MARKETING, V58, P35 49730 SINKULA JM, 1997, J ACAD MARKET SCI, V25, P305 49731 SLATER SF, 1994, J MARKETING, V58, P46 49732 SLATER SF, 1995, J MARKETING, V59, P63 49733 SLATER SF, 1996, IND MARKET MANAG, V25, P79 49734 SLATER SF, 2000, J ACAD MARKET SCI, V28, P120 49735 SLATER SF, 2000, J BUS RES, V48, P69 49736 SNELL SA, 1996, RES PERS H, V14, P61 49737 SPENDER JC, 1996, STRATEGIC MANAGE J, V17, P45 49738 STATA R, 1989, SLOAN MANAGE REV, V30, P45 49739 TIPPINS MJ, 2003, STRATEGIC MANAGE J, V24, P745 49740 VENKATRAMAN N, 1986, ACAD MANAGE REV, V11, P801 49741 WALSH JP, 1991, ACAD MANAGE REV, V16, P57 49742 WEBSTER FE, 1988, BUS HORIZONS, V31, P29 49743 WEERAWARDENA J, 2004, IND MARKET MANAG, V33, P419 49744 WERNERFELT B, 1984, STRATEGIC MANAGE J, V5, P171 49745 YAHYA S, 2002, J KNOWLEDGE MANAGEME, V6, P457 49746 NR 108 49747 TC 0 49748 PU ELSEVIER SCIENCE INC 49749 PI NEW YORK 49750 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 49751 SN 0019-8501 49752 J9 IND MARKET MANAG 49753 JI Ind. Mark. Manage. 49754 PD AUG 49755 PY 2007 49756 VL 36 49757 IS 6 49758 BP 694 49759 EP 708 49760 PG 15 49761 SC Business; Management 49762 GA 190NT 49763 UT ISI:000248066500002 49764 ER 49765 49766 PT J 49767 AU Forman, H 49768 Lippert, SK 49769 Kothandaraman, P 49770 AF Forman, Howard 49771 Lippert, Susan K. 49772 Kothandaraman, Prabakar 49773 TI Understanding users' performance evaluation of IT solutions 49774 SO INDUSTRIAL MARKETING MANAGEMENT 49775 LA English 49776 DT Article 49777 DE knowledge workers; user evaluations; buying center; supply chain; 49778 consequences 49779 ID INFORMATION-SYSTEMS; KNOWLEDGE WORKERS; BUYING CENTER; TECHNOLOGY; 49780 MODEL; ADOPTION; DETERMINANTS 49781 AB Traditionally, buying center research in business marketing has long 49782 focused on the role of various buying center members, including users, 49783 in influencing purchasing decisions. Recent studies have also 49784 established the important role users play in successfully implementing 49785 information technology (IT) initiatives of buying organizations and its 49786 influence on future relationships with sellers. Consequently, in order 49787 to ensure future business, marketers need users to evaluate their 49788 solutions favorably. This study attempts to understand the factors 49789 influencing user evaluation of performance of sellers' IT solutions. 49790 Based on an inter-disciplinary approach, a model of antecedent factors 49791 to explain user evaluation of suppliers IT solutions is proposed and 49792 tested. Results gleaned from a survey of 361 users of Internet-based 49793 technology in an automotive supply chain indicate that user attitudes 49794 toward technology, satisfaction with the new technology, users' overall 49795 understanding of supply chain management principles, and job-related 49796 consequences influence user evaluation of IT solutions. (c) 2006 49797 Elsevier Inc. All rights reserved. 49798 C1 Drexel Univ, LeBow Coll Business, Philadelphia, PA 19104 USA. 49799 RP Forman, H, Drexel Univ, LeBow Coll Business, 502E Matheson Hall,32nd & 49800 Market St, Philadelphia, PA 19104 USA. 49801 EM forman@drexel.edu 49802 CR AGARWAL R, 2000, IEEE T ENG MANAGE, V47, P295 49803 ALKHALDI MA, 1999, INFORM MANAGE, V36, P185 49804 BARRETT J, 1986, IND MARKET MANAG, V15, P63 49805 BERGERON F, 1995, DECIS SUPPORT SYST, V14, P131 49806 BETTMAN J, 1982, ADV CONSUMER RES, V9 49807 BOGOZZI RP, 1999, J ACAD MARKET SCI, V27, P184 49808 BRISTOR JM, 1993, J BUSINESS BUSINESS, V1, P63 49809 CASCANTE LP, 2002, INFORM RESOURCES MAN, V15, P64 49810 CHANG MK, 2001, INFORM MANAGE, V39, P1 49811 CHAU PYK, 2000, INFORM MANAGE, V37, P229 49812 CHEUNG WM, 2000, DECIS SUPPORT SYST, V30, P83 49813 DADZIE KQ, 1999, J BUS IND MARK, V14, P433 49814 DAHLSTROM R, 1996, J ACAD MARKET SCI, V24, P110 49815 DELONE WH, 1992, INFORMATION SYSTEMS, V3, P60 49816 DOWLING GR, 1994, INT J ADVERTISING, V13, P229 49817 FICHMAN RG, 1992, INFORM TECHOLOGY DIF, P1 49818 FISHBEIN M, 1975, BELIEF ATTITUDE INTE 49819 FORMAN H, 2005, J LOGISTICS MANAGEME, V16, P4 49820 GANESAN S, 1994, J MARKETING, V58, P1 49821 GAUVIN S, 1993, INT J RES MARK, V10, P165 49822 GHINGOLD M, 1998, J BUSINESS IND MARKE, V13, P96 49823 GOODHUE DL, 1995, MANAGE SCI, V41, P1827 49824 GREGANPAXTON J, 1997, J CONSUM RES, V24, P266 49825 GUTMAN J, 1982, J MARKETING, V46, P60 49826 HOLWEG M, 2002, INT J PROD ECON, V78, P163 49827 JACKSON JH, 1974, J PURCHASING MAT MAN, V10, P68 49828 JOHNSTON WJ, 1981, J MARKETING, V45, P43 49829 JONES M, 2001, INFORMATION RESOURCE, V14, P17 49830 KOHLI AK, 1988, IND MARKET MANAG, V17, P197 49831 KOTLER P, 2000, MARKETING MANAGEMENT 49832 LACZNIAK GR, 1979, IND MARKET MANAG, V8, P57 49833 LEIGH TW, 1984, J MARKETING, V48, P22 49834 LILIEN GL, 1984, J MARKETING RES, V21, P1 49835 MARWICK AD, 2001, IBM SYST J, V40, P814 49836 NAUDE P, 1994, 10 IMP ANN C GRON, P195 49837 OLIVER RL, 1989, J CONSUM RES, V16, P372 49838 PAGELL M, 2000, PROD OPER MANAG, V9, P222 49839 ROBINSON P, 1967, IND BUYING CREATIVE 49840 SAAKSJARVI M, 2003, EUROPEAN J INNOVATIO, V6, P90 49841 SHIH CF, 2004, J MARKETING, V68, P59 49842 SUJAN M, 1985, J CONSUM RES, V12, P31 49843 SVIOKLA JJ, 1996, SLOAN MANAGE REV, V37, P25 49844 TANNER JF, 1998, J BUSINESS IND MARKE, V13, P479 49845 TRIANDIS HC, 1971, ATTITUDE ATTITUDE CH 49846 WEBSTER FE, 1972, ORG BUYING BEHAV 49847 WEBSTER FE, 1984, INT MARKETING STRATE 49848 WEISS AM, 1993, J MARKETING RES, V30, P220 49849 WILSON DT, 1995, J ACAD MARKET SCI, V23, P335 49850 NR 48 49851 TC 0 49852 PU ELSEVIER SCIENCE INC 49853 PI NEW YORK 49854 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 49855 SN 0019-8501 49856 J9 IND MARKET MANAG 49857 JI Ind. Mark. Manage. 49858 PD AUG 49859 PY 2007 49860 VL 36 49861 IS 6 49862 BP 745 49863 EP 756 49864 PG 12 49865 SC Business; Management 49866 GA 190NT 49867 UT ISI:000248066500006 49868 ER 49869 49870 PT J 49871 AU Seggie, SH 49872 Cavusgil, E 49873 Phelan, SE 49874 AF Seggie, Steven H. 49875 Cavusgil, Erin 49876 Phelan, Steven E. 49877 TI Measurement of return on marketing investment: A conceptual framework 49878 and the future of marketing metrics 49879 SO INDUSTRIAL MARKETING MANAGEMENT 49880 LA English 49881 DT Article 49882 DE marketing returns; intangible assets; marketing metrics; value added 49883 ID RESOURCE-BASED VIEW; BRAND EQUITY; COMPETITIVE ADVANTAGE; CUSTOMER 49884 EQUITY; SHAREHOLDER VALUE; PERFORMANCE; MANAGEMENT; STRATEGY; ASSETS; 49885 FIRM 49886 AB There is growing recognition that firms in the contemporary business 49887 environment derive substantial and sustained competitive advantage from 49888 a bundle of intangible assets such as knowledge, networks and 49889 innovative capability. Measuring the return on such intangible assets 49890 has now become imperative for managers. The present manuscript focuses 49891 on the measurement of the return on marketing. We first discuss the 49892 conditions that make this task a high managerial priority. We then 49893 discuss measurement efforts to date, both in general management and 49894 marketing. We then offer a conceptual framework that places measurement 49895 efforts in a historical perspective. We conclude with a discussion on 49896 where the future of marketing metrics lies. (c) 2006 Elsevier Inc. All 49897 rights reserved. 49898 C1 Bilkent Univ, Fac Business Adm, TR-06800 Bilkent, Turkey. 49899 Michigan State Univ, Dept Marketing & Supply Chain Management, E Lansing, MI 48824 USA. 49900 Univ Nevada, Dept Management, Las Vegas, NV 89154 USA. 49901 RP Seggie, SH, Bilkent Univ, Fac Business Adm, TR-06800 Bilkent, Turkey. 49902 EM steven@bilkent.edu.tr 49903 cavusgile@bus.msu.edu 49904 steven.phelan@unlv.edu 49905 CR AAKER DA, 1996, CALIF MANAGE REV, V38, P102 49906 ACHROL RS, 1997, J ACAD MARKET SCI, V25, P56 49907 AILAWADI KL, 2003, J MARKETING, V67, P1 49908 AMBLER T, 2004, J MARKETING MANAGEME, V20, P475 49909 BALDINGER A, 1990, J ADVERTISING RES, V30, P2 49910 BARNEY J, 1991, J MANAGE, V17, P99 49911 BARWISE P, 2004, EUROPEAN MANAGEMENT, V22, P257 49912 BAYON T, 2002, EUROPEAN MANAGEMENT, V20, P213 49913 BENNETT R, 2005, J BRAND MANAGEMENT, V12, P250 49914 BERGEN M, 1992, J MARKETING, V56, P1 49915 BLATTBERG RC, 1996, HARVARD BUS REV, V74, P136 49916 BLUMENTHAL D, 2005, J BRAND MANAGEMENT, V12, P148 49917 BRANDENBURGER AM, 1995, HARVARD BUS REV, V73, P57 49918 BREWER PC, 1999, SAM ADV MANAGE J, V64, P4 49919 BYRON S, 1995, J PROFESSIONAL SERVI, V13, P3 49920 CLANCY KJ, 2005, HARVARD BUS REV, V83, P26 49921 CROSBY LA, 2001, MARKETING MANAGEMENT, V10, P10 49922 FARQUHAR PH, 1990, J ADVERTISING RES, V30, P7 49923 HOGAN JE, 2002, J SERVICE RES, V5, P26 49924 ITTNER CD, 1998, J MANAGEMENT ACCOUNT, V10, P205 49925 JACKSON D, 1989, DIRECT MARKETING, V51, P60 49926 JACOBSON R, 1988, STRATEGIC MANAGEMENT, V9, P415 49927 JAIN D, 2002, J INTERACTIVE MARKET, V16, P34 49928 JEDIDI K, 1999, MARKET SCI, V18, P1 49929 KALE SH, 2004, MARK MANAG, V13, P42 49930 KAPLAN RS, 1992, HARVARD BUS REV, V70, P71 49931 KELLER KL, 1993, J MARKETING, V57, P1 49932 KUMAR A, 2007, MAKING OUTSOURCING H 49933 LAVERTY KJ, 1996, ACAD MANAGE REV, V21, P825 49934 LEMON KN, 2001, MARK MANAG, V10, P20 49935 LIPPMAN SA, 2003, STRATEGIC MANAGE J, V24, P1069 49936 MCMULLAN E, 2001, ENTREP THEORY PRACT, V26, P37 49937 MOERS F, 2005, ACCOUNT ORG SOC, V30, P67 49938 MOORMAN C, 1999, J MARKETING, V63, P180 49939 MORGAN RM, 1994, J MARKETING, V58, P20 49940 MORRISON A, 1991, J MARKETING MANAGEME, V7, P105 49941 RIGBY DK, 2004, HARVARD BUS REV, V82, P118 49942 RUST RT, 2000, DRIVING CUSTOMER EQU 49943 RUST RT, 2004, HARVARD BUS REV, V82, P110 49944 RUST RT, 2004, J MARKETING, V68, P109 49945 RUST RT, 2004, J MARKETING, V68, P76 49946 SAWHNEY M, 2002, J ACAD MARKET SCI, V30, P313 49947 SCHUCK JR, 1997, ALTERN THER HEALTH M, V3, P40 49948 SIMON CJ, 1993, MARKET SCI, V12, P28 49949 SRIVASTAVA RK, 1998, J MARKETING, V62, P2 49950 SRIVASTAVA RK, 1999, J MARKETING, V63, P168 49951 SRIVASTAVA RK, 2001, J MANAGE, V27, P777 49952 STEWART S, 1993, STERN STEWART PERFOR 49953 SUROWIECKI J, 2004, WIRED, V12, P205 49954 VORHIES DW, 2005, J MARKETING, V69, P80 49955 WEBSTER FE, 2003, WORKING PAPER SERIES, P29 49956 WERNERFELT B, 1984, STRATEGIC MANAGE J, V5, P171 49957 WIGGINS SN, 1996, J IND ECON, V44, P377 49958 WINER RS, 2001, CALIF MANAGE REV, V43, P89 49959 NR 54 49960 TC 0 49961 PU ELSEVIER SCIENCE INC 49962 PI NEW YORK 49963 PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 49964 SN 0019-8501 49965 J9 IND MARKET MANAG 49966 JI Ind. Mark. Manage. 49967 PD AUG 49968 PY 2007 49969 VL 36 49970 IS 6 49971 BP 834 49972 EP 841 49973 PG 8 49974 SC Business; Management 49975 GA 190NT 49976 UT ISI:000248066500013 49977 ER 49978 49979 PT J 49980 AU Godard, J 49981 AF Godard, John 49982 TI Unions, work practices, and wages under different institutional 49983 environments: The case of Canada and England 49984 SO INDUSTRIAL & LABOR RELATIONS REVIEW 49985 LA English 49986 DT Article 49987 ID HIGH-PERFORMANCE; INDUSTRIAL-RELATIONS; BRITAIN; MANAGEMENT 49988 AB Using data collected in 2003-2004 in national telephone surveys of 750 49989 Canadian and 450 English workers, the author finds that alternative 49990 work practices (Awl's), such as autonomous teams, quality circles, and 49991 information sharing, provided meaningful pay gains for non-union 49992 workers but not union workers in both Canada and England. In Canada, 49993 non-union AWP payoffs approached union wage premia at even moderate 49994 levels of AWP adoption, suggesting that AWPs may serve as an 49995 alternative means to higher pay, one that is incompatible with unions 49996 and that could erode demand for union representation. In England, there 49997 was no meaningful union wage premium, suggesting that AWPs may have 49998 replaced pay bargaining as a means to higher pay; but an interaction 49999 term combining union representation and "best" HR practices bore a 50000 strong association with higher pay, consistent with a new economic role 50001 whereby unions achieve gains for their members through collaborative, 50002 performance-enhancing strategies. 50003 C1 Univ Manitoba, Asper Sch Management, Winnipeg, MB R3T 5V4, Canada. 50004 RP Godard, J, Univ Manitoba, Asper Sch Management, Winnipeg, MB R3T 5V4, 50005 Canada. 50006 EM Godard@ms.umanitoba.ca 50007 CR ACKERS P, 1998, INT J HUM RESOUR MAN, V9, P529 50008 AIKEN LS, 1991, MULTIPLE REGRESSION 50009 BAILEY T, 2001, IND LABOR RELAT REV, V54, P525 50010 BELMAN D, 2004, IND RELAT, V43, P491 50011 BLACK SE, 2004, IND RELAT, V43, P44 50012 BLANCHFLOWER DG, 1992, IND RELAT, V31, P56 50013 BLANCHFLOWER DG, 2003, INT HDB TRADE UNIONS 50014 BLANCHFLOWER DG, 2004, J LABOR RES, V25, P383 50015 BROWN W, 1997, NATL I ECON REV, V161, P69 50016 BRYSON A, 2005, UNPUB SIZE UNION MEM 50017 DELBRIDGE R, 1998, LIFE LINE CONT MANUF 50018 DELBRIDGE R, 2001, IND RELAT, V40, P472 50019 FANG T, 2002, PERSPECTIVES LABOR I, V14, P17 50020 FORTH J, 2004, IND RELAT, V43, P98 50021 FREEMAN R, 1990, BRIT J IND RELAT, V28, P141 50022 GODARD J, 2000, IND LABOR RELAT REV, V53, P482 50023 GODARD J, 2001, IND LABOR RELAT REV, V54, P776 50024 GODARD J, 2004, BRIT J IND RELAT, V42, P349 50025 GODARD J, 2004, THEORETICAL PERSPECT, P229 50026 GODARD J, 2006, UNPUB I ENV WORK HUM 50027 HALL PA, 2001, VARIETIES CAPITALISM, P1 50028 HANDEL MJ, 2004, IND RELAT, V43, P1 50029 HECKMAN J, 1998, ECONOMETRICA, V66, P1017 50030 HOWELL C, 2005, TRADE UNIONS STATE 50031 LEWIS HG, 1986, UNION RELATIVE WAGE 50032 MACHIN S, 2000, BRIT J IND RELAT, V38, P631 50033 MACHIN S, 2005, IND LABOR RELAT REV, V58, P201 50034 MARSHALL R, 1996, RECLAIMING PROSPERIT 50035 MONGER J, 2004, INT COMPARISONS LAB 50036 OLDHAM GR, 1980, WORK REDESIGN 50037 OSTERMAN P, 2006, IND LABOR RELAT REV, V59, P187 50038 OXENBRIDGE S, 2003, BRIT J IND RELAT, V41, P315 50039 OXENBRIDGE S, 2004, IND RELATIONS J, V35, P388 50040 OXENBRIDGE S, 2005, PARTNERSHIP MODERNIS, P83 50041 RINEHART J, 1997, JUST ANOTHER CAR FAC 50042 SMITH P, 2001, BRIT J IND RELAT, V39, P119 50043 WHITE M, 2005, IND RELATIONS J, V36, P348 50044 WOOD S, 1999, BRIT J IND RELAT, V37, P203 50045 NR 38 50046 TC 0 50047 PU INDUSTRIAL LABOR RELAT REV 50048 PI ITHACA 50049 PA CORNELL UNIV, ITHACA, NY 14851-0952 USA 50050 SN 0019-7939 50051 J9 IND LABOR RELAT REV 50052 JI Ind. Labor Relat. Rev. 50053 PD JUL 50054 PY 2007 50055 VL 60 50056 IS 4 50057 BP 457 50058 EP 476 50059 PG 20 50060 SC Industrial Relations & Labor 50061 GA 188AS 50062 UT ISI:000247891400001 50063 ER 50064 50065 PT J 50066 AU Chadwick, C 50067 AF Chadwick, Clint 50068 TI Examining non-linear relationships between human resource practices and 50069 manufacturing performance 50070 SO INDUSTRIAL & LABOR RELATIONS REVIEW 50071 LA English 50072 DT Article 50073 ID MANAGEMENT-PRACTICES; FIRM PERFORMANCE; ORGANIZATIONAL PERFORMANCE; 50074 WORK PRACTICES; PRODUCTIVITY; TURNOVER; STRATEGY; IMPACT; INDUSTRY; 50075 SYSTEMS 50076 AB One little-explored question concerning innovative human resources 50077 practices is how the intensity of their implementation affects their 50078 impact on establishment performance: is the relationship linear, or 50079 more complex? This analysis, using U.S. Census Bureau data for 1997 50080 from a sample of 1,212 private sector manufacturing establishments, 50081 investigates the possibility of non-linearities in the relationship 50082 between establishment performance and six human resource practices. The 50083 author finds departures from linearity that are both statistically 50084 significant and substantively meaningful for four of the six practices. 50085 He concludes that linear estimations of these relationships could 50086 mislead theorists and result in faulty recommendations to practitioners. 50087 C1 Univ Illinois, Urbana, IL 61801 USA. 50088 RP Chadwick, C, Univ Illinois, Urbana, IL 61801 USA. 50089 CR ARTHUR JB, 1994, ACAD MANAGE J, V37, P670 50090 BATT R, 2002, ACAD MANAGE J, V45, P587 50091 BECKER B, 1996, ACAD MANAGE J, V39, P779 50092 CAPPELLI P, 2001, IND LABOR RELAT REV, V54, P737 50093 CAPPELLI P, 2001, IND RELAT, V40, P635 50094 DEAN JW, 1996, STRATEGIC MANAGE J, V17, P459 50095 DELANEY JT, 1996, ACAD MANAGE J, V39, P949 50096 DELERY JE, 1998, HUM RESOUR MANAGE R, V8, P289 50097 DUNLOP JT, 1996, IND RELAT, V35, P334 50098 DYER L, 1995, INT J HUM RESOUR MAN, V6, P656 50099 GERHART B, 2000, PERS PSYCHOL, V53, P803 50100 GUTHRIE JP, 2001, ACAD MANAGE J, V44, P180 50101 HECKMAN JJ, 1979, ECONOMETRICA, V47, P153 50102 HITT MA, 2001, ACAD MANAGE J, V44, P13 50103 HUSELID MA, 1995, ACAD MANAGE J, V38, P635 50104 HUSELID MA, 1995, STRATEGIC IMPACT HIG 50105 HUSELID MA, 1997, ACAD MANAGE J, V40, P171 50106 ICHNIOWSKI C, 1997, AM ECON REV, V87, P291 50107 KOCH MJ, 1996, STRATEGIC MANAGE J, V17, P335 50108 LAM LW, 1998, HUMAN RESOURCE DEV Q, V9, P351 50109 LEE J, 1999, STRATEGIC MANAGE J, V20, P579 50110 MACDUFFIE JP, 1995, IND LABOR RELAT REV, V48, P197 50111 PRITCHARD RD, 1991, ORGAN BEHAV HUM DEC, V50, P341 50112 SCHAFER JL, 1997, ANAL INCOMPLETE MULT 50113 SCHMIDT FL, 1998, PSYCHOL BULL, V124, P262 50114 WRIGHT PM, 1999, INT J HUM RESOUR MAN, V10, P551 50115 YOUNDT MA, 1996, ACAD MANAGE J, V39, P836 50116 NR 27 50117 TC 0 50118 PU INDUSTRIAL LABOR RELAT REV 50119 PI ITHACA 50120 PA CORNELL UNIV, ITHACA, NY 14851-0952 USA 50121 SN 0019-7939 50122 J9 IND LABOR RELAT REV 50123 JI Ind. Labor Relat. Rev. 50124 PD JUL 50125 PY 2007 50126 VL 60 50127 IS 4 50128 BP 499 50129 EP 521 50130 PG 23 50131 SC Industrial Relations & Labor 50132 GA 188AS 50133 UT ISI:000247891400003 50134 ER 50135 50136 EF