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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
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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
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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
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0173    JEX SM, 1998, STRESS JOB PERFORMAN
0174    JONES JR, 2003, SELF REPORTED WORK R
0175    JORDAN J, 2003, BEACONS EXCELLENCE S
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0183    KOSSEK EE, 1999, WORK FAMILY, V2, P7
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0185    LAZARUS RS, 1984, STRESS APPRAISAL COP
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0188    MARSDEN JR, 1992, EMPLOYEES DRINKING P
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0190    MEGLINO BM, 1977, SUPERV MANAGE, V22, P2
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0194    MUSE LA, 2003, HUM PERFORM, V16, P349
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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
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0206    SPARKS K, 2001, J OCCUP ORGAN PSYC 4, V74, P489
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0208    SPECTOR PE, 1988, J APPL PSYCHOL, V70, P469
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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
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0215    TARIS TW, 2006, WORK STRESS, V20, P316
0216    THOMSON L, 2003, 138 HSEHMSO
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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
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0285    *VET HLTH ADM, 2001, REP VHA TASK FORC VI
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0291    BEECH B, 2006, AGGRESS VIOLENT BEH, V11, P27
0292    BULATAO EQ, 1996, VIOLENCE JOB IDENTIF, P1
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0324    SPECTOR PE, 1998, J OCCUP HEALTH, V3, P356
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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
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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
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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
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0507    GUNTER SA, 1996, PROF ANIM SCI, V12, P167
0508    GUNTER SA, 2004, J ANIM SCI, V82, E75
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0516    MYERS SE, 1999, J ANIM SCI, V77, P311
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0520    PHILLIPS WA, 2001, J ANIM SCI, V79, P1370
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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
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0532    TROXEL TR, 2002, PROF ANIM SCI, V18, P227
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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
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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
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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
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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
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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
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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
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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
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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.
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1927    KOH S, 2003, ARTHROSCOPY, V19, P820
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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
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2231    GARNSWORTHY PC, 2007, RECENT ADV ANIMAL NU, P150
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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
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2263    WALKER SL, 2006, REPROD DOMEST ANIM, V41, P304
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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
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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
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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
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2653    PARASURAMAN B, 2003, MALAYSIAN IND RELATI
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2664    TAIB M, 1992, GOVERNANCE, V5, P423
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2668    TURNER M, 2002, INT J PUBLIC ADMIN, V25, P1493
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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
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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
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2921    CHIMENTI C, 2003, CIRC RES, V93, P604
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2930    MESSINA E, 2004, CIRC RES, V95, P911
2931    MURASAWA S, 2005, ARTERIOSCL THROM VAS, V25, P1388
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2936    SAEGUSA M, 1993, LIVER, V13, P239
2937    URBANEK K, 2003, P NATL ACAD SCI USA, V100, P10440
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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
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3090    SWANSON J, 2006, J AM ACAD CHILD PSY, V45, P1304
3091    SWANSON JM, 1992, SCH BASED ASSESSMENT
3092    SWANSON JM, 2006, J CLIN PSYCHIAT, V67, P137
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3096    UPADHYAYA HP, 2005, J CHILD ADOL PSYCHOP, V15, P799
3097    VALERA EM, 2006, BIOL PSYCHIAT
3098    VANDERFELTZCORNELIS CM, 2006, EPILEPSY BEHAV, V8, P659
3099    WENDER PH, 1993, AM J PSYCHIAT, V150, P1280
3100    WENDER PH, 1995, ATTENTION DEFICIT HY
3101    WILENS TE, 1996, AM J PSYCHIAT, V153, P1147
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3104    WILENS TE, 2003, PEDIATRICS, V111, P179
3105    WILENS TE, 2006, ARCH PEDIAT ADOL MED, V160, P82
3106    WILENS TE, 2006, J PEDIATR, V149, P112
3107    WILENS TE, 2006, PEDIATRICS, V118, P1215
3108    WOLRAICH ML, 1996, J AM ACAD CHILD PSY, V35, P319
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3110    ZANG YF, 2005, BRAIN DEV-JPN, V27, P544
3111 NR 115
3112 TC 0
3113 PU W B SAUNDERS CO-ELSEVIER INC
3114 PI PHILADELPHIA
3115 PA 1600 JOHN F KENNEDY BOULEVARD, STE 1800, PHILADELPHIA, PA 19103-2899 USA
3116 SN 0095-4543
3117 J9 PRIMARY CARE
3118 JI Primary Care
3119 PD JUN
3120 PY 2007
3121 VL 34
3122 IS 2
3123 BP 317
3124 EP +
3125 PG 26
3126 SC Medicine, General & Internal
3127 GA 208SE
3128 UT ISI:000249338700011
3129 ER
3130 
3131 PT J
3132 AU Rieta, JJ
3133    Hornero, F
3134 AF Rieta, Jose Joaquin
3135    Hornero, Fernando
3136 TI Comparative study of methods for ventricular activity cancellation in
3137    atrial electrograms of atrial fibrillation
3138 SO PHYSIOLOGICAL MEASUREMENT
3139 LA 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
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3200    LONGINI RL, 1975, IEEE T BIOMED ENG, V22, P432
3201    MALMIVUO J, 1995, BIOELECTROMAGNETISM
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3215    SOMMO L, 2005, BIOELECTRICAL SIGNAL
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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.
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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
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4219 NR 94
4220 TC 0
4221 PU BLACKWELL PUBLISHING
4222 PI OXFORD
4223 PA 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND
4224 SN 0737-6782
4225 J9 J PROD INNOVAT MANAGE
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.
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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. The financial value of the latter to
5689    employers in terms of recovered hiring, training, and salary costs
5690    suggests that many employers would experience a positive return on
5691    investment from outreach and enhanced treatment of depressed workers.
5692 C1 NIMH, Div Serv & Intervent Res, Bethesda, MD 20892 USA.
5693    Harvard Univ, Sch Med, Dept Hlth Care Policy, Boston, MA 02115 USA.
5694    Brigham & Womens Hosp, Div Pharmacoepidemiol & Pharmacoecon, Boston, MA 02115 USA.
5695    United Behav Hlth, San Francisco, CA USA.
5696    Grp Hlth Cooperat Puget Sound, Ctr Hlth Studies, Grp Hlth Cooperat, Seattle, WA 98101 USA.
5697 RP Wang, PS, NIMH, Div Serv & Intervent Res, 6001 Execut Blvd,Room
5698    7141,MSC 9629, Bethesda, MD 20892 USA.
5699 EM wangphi@mail.nih.gov
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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
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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
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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
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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
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6679    CHRISTIE CDC, 2001, CLIN INFECT DIS, V33, P997
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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
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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
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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
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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
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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
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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
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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
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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
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8050    REFSGAARD JC, 2004, ADV WATER RESOUR, V27, P71
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8055    SALORANTA TM, 2006, ECOL MODEL, V194, P316
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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
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8154    MILBAU A, 2005, FUNCT ECOL, V19, P27
8155    MILLER TE, 1987, ECOLOGY, V68, P1201
8156    MUEGGLER WF, 1980, GRASSLAND SHRUBLAND
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8158    NAEEM S, 2000, OIKOS, V91, P97
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8160    PAVLU V, 2006, GRASS FORAGE SCI, V61, P42
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8165    POWER ME, 1996, BIOSCIENCE, V46, P609
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8167    RALPHS MH, 1990, WEED SCI, V38, P573
8168    SHELEY RL, 1999, BIOL MANAGEMENT NOXI
8169    SKINNER RH, 2004, CROP SCI, V44, P1361
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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
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8380    *WHO, 1992, INT STAT CLASS DIS R
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8470    ZHANG Q, 2003, J TRADITIONAL CHINES, V23, P125
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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
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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
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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
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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
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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
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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
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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
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8857    KONAR S, 1997, J ENVIRON ECON MANAG, V32, P109
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8859    LATHAM M, 2003, CORP GOV, V11, P91
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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12285    REISCHL U, 2003, BMC INFECT DIS, V3
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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
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12523    HANSON DJ, 2004, ICPEXT0400300 ID NAT
12524    HEISER JH, 1997, HMP49 MSE TECHN APPL
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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
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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
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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
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13583    BLACK WK, 2005, J SOCIO EC, V34, P734
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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, RES CORPORATE SOCIAL, V9, P73
13595    COHEN J, 1983, APPL MULTIPLE REGRES
13596    COOPER K, 1983, J ACCOUNTING PUBLIC, V2, P189
13597    DABOUB AJ, 1995, ACAD MANAGE REV, V20, P138
13598    DAILY CM, 1996, J MANAGE, V22, P185
13599    DAVIDSON WN, 2004, ACAD MANAGE J, V47, P267
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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
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13728    *IMD WORLD COMP CT, 2001, WORLD COMP YB
13729    *UNESCO, 2001, STAT YB
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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. Subsequently, he discusses empirical and
13823    conceptual constraints on the production of quality research and
13824    highlights research that successfully overcomes these barriers.
13825 C1 IESE Business Sch, Barcelona 08034, Spain.
13826 RP Etzion, D, IESE Business Sch, Avda Pearson 21, Barcelona 08034, Spain.
13827 EM docdetzion@iese.edu
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13832    BANERJEE SB, 2003, J MARKETING, V67, P106
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13843    BOWEN FE, 2005, RESOURCING CORPORATE
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13865    GEFFEN CA, 2000, INT J OPER PROD MAN, V20, P166
13866    GLADWIN TN, 1995, ACAD MANAGE REV, V20, P874
13867    GOLDMAN M, 2000, ANNU REV SOCIOL, V26, P563
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13869    GUENSTER N, 2005, EC VALUE CORPORATE E
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13879    HILLMAN AJ, 2001, STRATEGIC MANAGE J, V22, P125
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13881    HOFFMAN AJ, 1999, ACAD MANAGE J, V42, P351
13882    HOFFMAN AJ, 1999, AM BEHAV SCI, V42, P1368
13883    HOFFMAN AJ, 2001, HERESY DOGMA I HIST
13884    HOFFMAN AJ, 2001, ORGAN SCI, V12, P414
13885    HOFFMAN AJ, 2002, AM BEHAV SCI, V45, P820
13886    HOFFMAN AJ, 2002, ORG POLICY NATURAL E, P1
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13890    HUTCHINSON C, 1996, LONG RANGE PLANN, V29, P11
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13892    JENNINGS PD, 2002, ORG POLICY NATURAL E, P57
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13897    KASSINIS G, 2006, ACAD MANAGE J, V49, P145
13898    KHANNA M, 2002, LAND ECON, V78, P539
13899    KING A, 2002, MANAGE SCI, V48, P289
13900    KING A, 2002, ORG POLICY NATURAL E, P393
13901    KING AA, 2000, ACAD MANAGE J, V43, P698
13902    KING AA, 2001, STRATEGIC MANAGE J, V22, P1069
13903    KING AA, 2005, ACAD MANAGE J, V48, P1091
13904    KINGDOM FAA, 2000, J SOC 3D BROADCASTIN, V1, P10
13905    KLASSEN RD, 1999, ACAD MANAGE J, V42, P599
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13907    KOLLN K, 2002, POLICY SCI, V35, P43
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13910    LENOX M, 2004, STRATEGIC MANAGE J, V25, P331
13911    LENOX MJ, 2003, BUSINESS STRATEGY EN, V12, P343
13912    LEVY D, 1997, ORG ENV, V10, P126
13913    LEVY D, 2002, ORG POLICY NATURAL E, P173
13914    LEVY DL, 2000, ENVIRONMENT, V42, P8
13915    LEWIN AY, 2001, ORGAN STUD, V22, R1
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13918    MARCUS AA, 2006, J MANAGE STUD, V43, P19
13919    MARGOLIS JD, 2003, ADMIN SCI QUART, V48, P268
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13964    SROUFE R, 2003, PROD OPER MANAG, V12, P416
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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
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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
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14362    MEYER LD, 1985, T ASAE, V28, P461
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14365    SHAW RB, 1990, J ENVIRON QUAL, V19, P234
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14367    THUROW TL, 1991, MANAGEMENT ECOLOGICA, P141
14368    THUROW TL, 1995, EN9502 USACERL
14369    VANDOREN CA, 1950, SOIL SCI SOC AM P, V15, P413
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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
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14471    TOORU S, 2001, KAMIPA GIKYOSHI, V55, P52
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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
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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
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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
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14912    BERGER PG, 2003, J ACCOUNTING RES, V41, P163
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14924    HATCHER L, 1994, USING SAS FACTOR ANA
14925    HAYES RM, 1996, J ACCOUNTING RES, V34, P261
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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
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15507    JANSSEN O, 1999, J MANAGE, V25, P117
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15518    LUHMANN N, 1979, TRUST POWER
15519    MASON RO, 1981, CHALLENGING STRATEGI
15520    MAYER RC, 1995, ACAD MANAGE REV, V20, P709
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15524    MILLER D, 1982, STRATEGIC MANAGEMENT, V3, P1
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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
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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
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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
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15764    DANGAYACH GS, 2001, INT J OPER PROD MAN, V21, P884
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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
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15775    GOLDRATT EM, 1986, GOAL PROCESS ONGOING
15776    GORDON JRM, 2005, J STRATEGIC INF SYST, V14, P69
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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
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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
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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
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17937    BELGHITI J, 2003, ANN SURG, V238, P885
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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
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18041    BARNES PJ, 1995, AM J RESP CRIT CARE, V152, P838
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18043    BENAYOUN S, 2001, CHEST, V119, P85
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18045    BOLTON PB, 1997, AM J RESP CRIT CARE, V155, P1428
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18079    MAN WDC, 2004, THORAX, V59, P471
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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
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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
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18094    RENNARD SI, 2001, AM J RESP CRIT CARE, V163, P1087
18095    SAETTA M, 1998, AM J RESP CRIT CARE, V157, P822
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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
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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
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18197    GROSSMAN HB, 2006, JAMA-J AM MED ASSOC, V295, P299
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18199    HALLING KC, 2002, J UROLOGY, V167, P2001
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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
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18406    BROOKFIELD JFY, 1996, MOL ECOL, V5, P453
18407    BROWN LD, 1992, ABALONE WORLD BIOL F, P19
18408    BROWN LD, 1993, J MOLLUS STUD, V59, P429
18409    CASTRIC V, 2004, MOL ECOL, V13, P1299
18410    CHAKRABORTY R, 1993, DNA FINGERPRINTING S, P153
18411    CLAVIER J, 1992, ABALONE WORLD BIOL F, P86
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18451    LI WH, 2002, CURR OPIN GENET DEV, V12, P650
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18476    SAMBROOK J, 1989, MOL CLONING LAB MANU
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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
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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
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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
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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
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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
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18801    BOURNE M, 2001, HDB PERFORMANCE MEAS
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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
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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
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18984    ARTTO KA, 1994, LIFE CYCLE COST CONC
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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
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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
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20170    KING AC, 1997, JAMA-J AM MED ASSOC, V277, P32
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20172    LATHAM N, 2003, COCHRANE DB SYST REV
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20174    LEE IM, 2001, MED SCI SPORT EXER S, V33, S459
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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
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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
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20290    CONNOLLY KM, 1993, J HISTOCHEM CYTOCHEM, V41, P1
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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
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20302    QIN ZH, 2001, J BIOL CHEM, V276, P8079
20303    SINGH AV, 2004, CARCINOGENESIS, V25, P83
20304    SRIVASTAVA SK, 2003, CARCINOGENESIS, V24, P1665
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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
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20408    EWIG S, 2004, THORAX, V59, P421
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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
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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
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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
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20582    MACIEJOWSKI JM, 2002, PREDICTIVE CONTROL C
20583    MANER BR, 1996, AUTOMATICA, V32, P1285
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20585    MCAULEY KB, 1993, AICHE J, V39, P855
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20587    QIN SJ, 2003, CONTROL ENG PRACT, V11, P733
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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
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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
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20780    CONWAY J, 2006, PARTNERING PATIENTS
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20800    REASON J, 2000, BRIT MED J, V320, P768
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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
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20862    *SAF MOTH IN, 2006, WHAT IS SAF MOTH
20863    *WHO UNICEF UNFPA, 2001, MAT MORT 1995 EST DE
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20865    *WORLD BANK, 2006, MILL DEV GOALS   OCT
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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
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21046    JAIN A, 2004, P 3 WORKSH HOT TOP N
21047    JAIN N, 2005, P 20 ACM S OP SYST P, P1
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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
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21343 NR 150
21344 TC 0
21345 PU UNIV FEDERATION ANIMAL WELFARE
21346 PI 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
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21418    *ISO, 1999, 109904 ISO
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21549    WARBURTON B, 1996, NEW ZEAL J ZOOL, V23, P307
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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
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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
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22005    TILLEMENT JP, 2005, CLIN EXP ALLERGY REV, V5, P7
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22017 NR 84
22018 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
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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
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22080    AYOTAMUNO MJ, 2006, NIGER J TECHNOL, V25, P15
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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
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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
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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
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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
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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
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22752    ISAAZ K, 1989, AM J CARDIOL, V64, P81
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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
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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
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23193    BRANCOURTHULMEL M, 2005, CROP SCI, V45, P1427
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23226    MALLARD S, 2005, THEOR APPL GENET, V110, P1401
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23231    MOTZO R, 2002, AUST J AGR RES, V53, P1285
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23235    RAUGH BL, 2002, THEOR APPL GENET, V104, P743
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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
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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. All rights
24415    reserved.
24416 C1 Wyeth Ayerst Res, Clin Neurosci Programs, F-92931 Paris, France.
24417    Univ Paris 02, Ctr Hosp Univ Bicetre, INSERM, Psychiat Serv,U 669, F-94275 Le Kremlin Bicetre, France.
24418    Fac Med, EA 3256, Neurobiol Anxiete Depress, F-44035 Nantes, France.
24419 RP Emilien, G, Wyeth Ayerst Res, Clin Neurosci Programs, Coeur Def Tour A
24420    La Def 4, F-92931 Paris, France.
24421 EM Emilig@wyeth.com
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24621    THASE ME, 2000, BIOL PSYCHIAT, V48, P558
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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
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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
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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
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25218    HORNE DJ, 1985, THESIS MASSEY U PALM
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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
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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
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25435    KATZ P, 2001, J AM GERIATR SOC, V49, P808
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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
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25447    MARTINSON BC, 2003, PREV MED, V37, P319
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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
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25949    CHUNG DJ, 2005, AM J ROENTGENOL, V184, P98
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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
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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
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25992    PICKHARDT PJ, 2006, RADIOLOGY, V239, P313
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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
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26465    ESHAGHIAN MM, 1996, HETEROGENEOUS COMPUT
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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
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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
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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
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26884    HOFMANN DA, 2003, J APPL PSYCHOL, V88, P170
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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
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26893    LOCKE EA, 1994, J MANAGE, V20, P67
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26897    MURPHY LR, 1986, J BUSINESS PSYCHOL, V1, P5
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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
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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
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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
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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
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27419    BLUNT MJ, 2002, ADV WATER RESOUR, V25, P1069
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27430    FERER M, 2003, PHYSICA A, V319, P11
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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
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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
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27715    ALLEN RG, 1989, AGRON J, V81, P650
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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
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27722    BICKNELL BR, 2000, HYDROLOGICAL SIMULAT, V12
27723    BOX GEP, 1964, J R STAT SOC B, V26, P211
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27747    KUCZERA G, 1998, J HYDROL, V211, P69
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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
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27848    ABRAHAM J, 2004, HERLEITUNG NATURRAUM, P9
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27850    BARDOSSY A, 1996, ECOL MODEL, V85, P59
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27854    BEVEN K, 2001, J HYDROL, V249, P11
27855    BEVEN KJ, 2001, RAINFALL RUNOFF MODE
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27857    COPPOLA EA, 2002, J HYDROL ENG, V7, P326
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27859    DOHERTY J, 2004, PEST MODEL INDEPENDE
27860    DOU C, 1999, J HYDROL, V220, P74
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27862    EISELE M, 2002, HYDROLOG SCI J, V47, P753
27863    FINK M, 2004, THESIS U CHEMISCH GE
27864    HORNBERGER GM, 1994, BIOGEOCHEMISTRY, V25, P147
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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
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29712    DEBUSK GK, 2003, BRIT ACCOUNTING REV, V35, P215
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29714    DEMAREST M, 1997, LONG RANGE PLANN, V30, P374
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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
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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
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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
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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
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30009    NARVAEZ FR, 2003, CRITERIOS INDICADORE
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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
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30099    *ETSI EN, 1999, 301210 ETSI EN
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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
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30160    POSTEL J, 1981, 791 IETF RFC
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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
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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
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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
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30386    FACANHA C, 2006, INT J LIFE CYCLE ASS, V11, P229
30387    FIKSEL J, 2003, ENVIRON SCI TECHNOL, V37, P5330
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30390    GRAEDEL TE, 1998, J IND ECOLOGY, V1, P57
30391    GRAEDEL TE, 2002, INT J LIFE CYCLE ASS, V7, P219
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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
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30410    MONGELLI I, 2005, INT J LIFE CYCLE ASS, V10, P317
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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
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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
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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
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30531    GIVELBERG E, 2006, SIAM J SCI COMPUT, V28, P1361
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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
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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
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30750    FLETCHER WL, 1992, J APPL GERONTOL, V11, P489
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30752    GIST ME, 1992, ACAD MANAGE REV, V17, P183
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30755    GRELLER MM, 2000, INT J AGING HUM DEV, V50, P215
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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
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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
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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
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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
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31247    HEINDL A, 2001, PERFORM EVALUATION, V44, P139
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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
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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
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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
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32981    COLLET JF, 2005, BRIT J CANCER, V93, P1175
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32989    HAMBURGER JL, 1979, PATHOLOGICAL EVALUAT
32990    HARVEY JN, 2005, J CLIN ULTRASOUND, V33, P57
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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
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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
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33115    DIENSTAG JL, 2006, GASTROENTEROLOGY, V130, P231
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33118    GAN FY, 1992, EPITHELIAL CELL BIOL, V1, P13
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33122    LIU H, 1996, 13 INT C MACH LEARN, P319
33123    MACHIDA K, 2006, J VIROL, V80, P866
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33130    POYNARD T, 2003, J HEPATOL, V38, P257
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33134    SKINNER HA, 1982, J STUD ALCOHOL, V43, P1157
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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
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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
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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
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34003    SCHALL P, 2004, SCALING RESULTS FORE, P114
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34005    SEIDLING W, 2000, MULTIVARIATE STAT IN
34006    SEIDLING W, 2001, INTEGRATED STUDIES F, P88
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34008    SEIDLING W, 2005, ENVIRON MONIT ASSESS, V101, P223
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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
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34110    FISCHER RA, 1996, INCREASING YIELD WHE, P150
34111    HETZLER J, 1991, WHEAT NON TRADITIONA, P266
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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
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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
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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
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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
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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
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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
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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
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35643    HALL PL, 1998, J FINANCIAL STRATEGI, V11, P83
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35648    KING A, 2000, J IND ECOL, V4, P1
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35652    LORRAINE N, 2004, ACCOUNTING FORUM, V28, P7
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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
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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
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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
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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
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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
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36564    *PION QUAL FUNCT D, 1995, QUAL FUNCT DEPL HOW
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36575    HSU SP, 2002, QFD FMEA INTEGRATED
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36577    ISHII K, 1995, MANUFACTURING SCI EN, P921
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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
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36584    ODRISCOLL M, 2002, J MATER PROCESS TECH, P318
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36586    PAHL G, 1996, ENG DESIGN SYSTEMATI
36587    RAU H, 2001, CHUNG YUAN J, V29, P399
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36589    SHEU D, 2003, DESIGN EXCELLENCE DF
36590    SHEU D, 2004, J TECHNOLOGY MANAGEM, V9, P149
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36592    SHEU DD, 2003, INT J PROD ECON, V84, P215
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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
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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
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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
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38459    SIMBERLOFF D, 1981, BIOTRIC CRISES ECOLO
38460    SIMBERLOFF D, 2000, NATURE HUMAN SOC QUE
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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
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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
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38601    MASTER L, 1995, BIODIVERSITY RES CON
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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
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38625    STRANGE N, 2006, BIOL CONSERV, V131, P33
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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
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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
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39728    BENVENISTE H, 1999, P NATL ACAD SCI USA, V96, P14079
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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
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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
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40417    NASH JE, 1970, J HYDROL, V10, P282
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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
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40518    FAUCETTE LB, 2005, J SOIL WATER CONSERV, V60, P288
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40525    MUKHTAR S, 2004, 044079 ASAE CASE
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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
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40621    GROHE M, 2006, P PODS 06, P243
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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
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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
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40892    MIKKOLA JH, 2003, THESIS COPENHAGEN BU
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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
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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
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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
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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
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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
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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
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41827    PRICE DJD, 1965, NATURE, V206, P233
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41829    SAVANI V, IN PRESS METRIKA
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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
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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
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42439    1987, 87605 NSF
42440    1987, BUSINESS WEEK   0202, P74
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42445    *NAT RES COUNC, 1987, MAN TECHN HIDD ADV, P15
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42448    ALLEN, 1985, 169285 MIT SLOAN SCH
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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
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42467    CHAKRABARTI AK, 1974, CALIFORNIA MANAGEMEN, P58
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42471    DALTON GW, 1986, NOVATIONS STRATEGIES, CH3
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42474    DRUCKER PF, 1952, HARVARD BUSINESS MAY
42475    DRUCKER PF, 1975, WALL STREET J   1107
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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
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42492    HOLLEY WH, 1973, PERSONNEL ADM    MAR, P21
42493    HUGHES E, 1968, HARVARD BUSINESS JAN
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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
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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
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42737    BERLOCHER SH, 2002, ANNU REV ENTOMOL, V47, P773
42738    BOURTZIS K, 2003, INSECT SYMBIOSIS
42739    BOURTZIS K, 2006, INSECT SYMBIOSIS, V2
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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
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42764    OLIVER KM, 2005, P NATL ACAD SCI USA, V102, P12795
42765    RUSSELL JA, 2006, P R SOC B, V273, P603
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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
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42950    DIXON D, 1998, CURRENT ISSUES CRIMI, V10, P96
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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
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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
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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
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44380    JAFFRAY DA, 2000, MED PHYS, V27, P1311
44381    JAFFRAY DA, 2002, INT J RADIAT ONCOL, V53, P1337
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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
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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
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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
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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
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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
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45301    FELSENSTEIN J, 2006, PHYLIP PHYLOGENETIC
45302    GARNEIR L, 2002, CLIN VIROLOGY, P1153
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45306    KWOK S, 1989, NATURE, V339, P237
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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
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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
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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
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45544    SMITH JP, 1985, JAMA-J AM MED ASSOC, V253, P544
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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
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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
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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
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45750    BENTLER PM, 1990, PSYCHOL BULL, V107, P238
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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
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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
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45771    EDVINSSON L, 1997, INTELLECTUAL CAPITAL
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45774    FIOL CM, 1985, ACAD MANAGE REV, V10, P803
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45780    HAIR JR, 1999, ANAL MULTIVARIANTE
45781    HAMEL G, 1991, STRATEGIC MANAGE J, V12, P83
45782    HAMEL G, 1994, COMPETING FUTURE
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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
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45792    KOHLI AK, 1993, J MARKETING RES, V30, P467
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45795    LIOEBOWITZ J, 2000, BUILDING ORG INTELLI
45796    LUKAS BA, 1996, J BUS RES, V36, P233
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45799    MARCOULIDES GA, 1993, ORGAN SCI, V4, P209
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45801    MENTZER JT, 2001, J MARKETING, V65, P82
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45809    OSLAND G, 1995, EUR J MARKETING, V29, P52
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45817    SELNES F, 2003, J MARKETING, V67, P80
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45819    SINKULA JM, 1994, J MARKETING, V58, P35
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45826    WAH L, 2000, KNOWLEDGE MANAGEMENT, P307
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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
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45904    BELLINGER DC, 1999, CIRCULATION, V100, P526
45905    BELLINGER DC, 2003, J THORAC CARDIOV SUR, V126, P1385
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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
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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
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45922    SATTLER J, 1992, ASSESSMENT CHILDREN
45923    VISCONTI KJ, 1999, CIRCULATION S, V100, P145
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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
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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
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46022    NILSSON JA, 1993, ANIM BEHAV, V46, P379
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46025    PASINELLI G, 1999, THESIS U ZURICH SWIT
46026    PERRINS CM, 1985, IBIS, V127, P306
46027    PERRINS CM, 1991, IBIS, V133, P49
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46030    PYNNONEN A, 1943, ANN ZOOL SOC ZOOL BO, V9, P1
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46032    SEKI SI, 1998, OECOLOGIA, V114, P514
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46034    TIAINEN J, 1985, ORNIS FENNICA, V62, P80
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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
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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
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47209    PFAFF D, 2005, J ENDOCRINOL, V184, P447
47210    PHILIPSSON J, 2003, LIVEST PROD SCI, V83, P99
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47217    ROCHE JR, 2006, J DAIRY SCI, V89, P3532
47218    ROCHE JR, 2007, J DAIRY SCI, V90, P376
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47220    ROYAL MD, 2002, J DAIRY SCI, V85, P3071
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47228    TENASEMPERE M, 2005, GROWTH HORM IGF RES, V15, P83
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47230    WADE GN, 2004, AM J PHYSIOL-REG I, V287, R1277
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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
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47330    ROY JHB, 1990, CALF, V1
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47336    TSUJI S, 1990, J DAIRY SCI, V73, P125
47337    WEAVER DM, 2000, J VET INTERN MED, V14, P569
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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
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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
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47606    BERRY DP, 2007, J DAIRY SCI, V90, P637
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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
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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
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47905    MEYER JP, 1989, J APPL PSYCHOL, V74, P152
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47909    NORRIS DR, 1984, ACAD MANAGE J, V27, P424
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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
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47917    STEERS RM, 1977, ADM SCI Q, V22, P46
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47919    TUBRE TC, 2000, J MANAGE, V26, P155
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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
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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
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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
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48598    PATTANAIK AK, 2000, ASIAN AUSTRAL J ANIM, V13, P1245
48599    PATTANAIK AK, 2001, SMALL RUMINANT RES, V41, P51
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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
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49649    BAKER WE, 2002, J MARKET FOCUSED MAN, V5, P5
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49652    BARNEY JB, 1986, MANAGE SCI, V32, P1231
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49656    BROWN JS, 1991, ORGAN SCI, V2, P40
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49661    CHURCHILL GA, 1979, J MARKETING RES, V16, P64
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49679    EDMONDSON B, 1998, ORG LEARNING COMPETI
49680    EPPLE D, 1991, ORGAN SCI, V2, P58
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49695    HULT GTM, 2001, STRATEGIC MANAGE J, V22, P899
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49697    HURLEY RF, 1998, J MARKETING, V62, P42
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49699    JONES AM, 1994, BRIT J MANAGE, V5, P153
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49701    KELLOWAY EK, 1998, USING LISREL STRUCTU
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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
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49735    SLATER SF, 2000, J BUS RES, V48, P69
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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
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49805    BERGERON F, 1995, DECIS SUPPORT SYST, V14, P131
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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
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49819    FORMAN H, 2005, J LOGISTICS MANAGEME, V16, P4
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49832    LACZNIAK GR, 1979, IND MARKET MANAG, V8, P57
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49834    LILIEN GL, 1984, J MARKETING RES, V21, P1
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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
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49914    BERGEN M, 1992, J MARKETING, V56, P1
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49916    BLUMENTHAL D, 2005, J BRAND MANAGEMENT, V12, P148
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49953    SUROWIECKI J, 2004, WIRED, V12, P205
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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
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50013    BLANCHFLOWER DG, 2003, INT HDB TRADE UNIONS
50014    BLANCHFLOWER DG, 2004, J LABOR RES, V25, P383
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50016    BRYSON A, 2005, UNPUB SIZE UNION MEM
50017    DELBRIDGE R, 1998, LIFE LINE CONT MANUF
50018    DELBRIDGE R, 2001, IND RELAT, V40, P472
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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
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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
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50095    DELANEY JT, 1996, ACAD MANAGE J, V39, P949
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50100    GUTHRIE JP, 2001, ACAD MANAGE J, V44, P180
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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