WKP|Q96013748

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Leader		00000nz a2200037n 45 0
001		WKP\|Q96013748 (VIAF cluster) (Authority/Source Record)
003		WKP
005		20241121000202.0
008		241121nneanz\|\|abbn n and d
035		‎‡a (WKP)Q96013748‏
024		‎‡a 0000-0002-0981-935X‏ ‎‡2 orcid‏
035		‎‡a (OCoLC)Q96013748‏
100	0	‎‡a Yue Wang‏ ‎‡c researcher ORCID 0000-0002-0981-935X‏ ‎‡9 en‏
670		‎‡a Author's Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language‏
670		‎‡a Author's Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study‏
670		‎‡a Author's Open-Set Object Detection Using Classification-Free Object Proposal and Instance-Level Contrastive Learning‏
670		‎‡a Author's Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing-Based Algorithm With Statewide Electronic Medical Records‏
909		‎‡a (orcid) 000000020981935x‏ ‎‡9 1‏
919		‎‡a kinematicmotionretargetingvianeurallatentoptimizationforlearningsignlanguage‏ ‎‡A Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language‏ ‎‡9 1‏
919		‎‡a onlinepredictionofhealthcareutilizationinthenext6monthsbasedonelectronichealthrecordinformationacohortandvalidationstudy‏ ‎‡A Online Prediction of Health Care Utilization in the Next Six Months Based on Electronic Health Record Information: A Cohort and Validation Study‏ ‎‡9 1‏
919		‎‡a opensetobjectdetectionusingclassificationfreeobjectproposalandinstancelevelcontrastivelearning‏ ‎‡A Open-Set Object Detection Using Classification-Free Object Proposal and Instance-Level Contrastive Learning‏ ‎‡9 1‏
919		‎‡a webbasedrealtimecasefindingforthepopulationhealthmanagementofpatientswithdiabetesmellitusaprospectivevalidationofthenaturallanguageprocessingbasedalgorithmwithstatewideelectronicmedicalrecords‏ ‎‡A Web-based Real-Time Case Finding for the Population Health Management of Patients With Diabetes Mellitus: A Prospective Validation of the Natural Language Processing-Based Algorithm With Statewide Electronic Medical Records‏ ‎‡9 1‏
996		‎‡2 LC\|no2004073091‏
996		‎‡2 NII\|DA17490538‏
996		‎‡2 DNB\|1032663103‏
996		‎‡2 NTA\|071984771‏
996		‎‡2 BNF\|16741955‏
996		‎‡2 LC\|n 85336447‏
996		‎‡2 SUDOC\|197649793‏
996		‎‡2 LC\|no2023041365‏
996		‎‡2 LC\|n 99042213‏
996		‎‡2 DNB\|1058270885‏
996		‎‡2 LC\|nr 91028196‏
996		‎‡2 NTA\|251255549‏
996		‎‡2 J9U\|987007325173705171‏
996		‎‡2 PLWABN\|9811769723105606‏
996		‎‡2 LC\|n 79035859‏
996		‎‡2 ISNI\|0000000419504938‏
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996		‎‡2 ISNI\|0000000434722546‏
996		‎‡2 DNB\|1140166530‏
996		‎‡2 LC\|n 81137175‏
996		‎‡2 ISNI\|000000010773841X‏
996		‎‡2 LC\|no2016125592‏
996		‎‡2 BNE\|XX1218971‏
996		‎‡2 LC\|n 2021021662‏
996		‎‡2 NII\|DA14937236‏
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996		‎‡2 NTA\|304118869‏
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996		‎‡2 NII\|DA09949269‏
996		‎‡2 LC\|no2013077303‏
996		‎‡2 NTA\|354223054‏
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996		‎‡2 PLWABN\|9811357029705606‏
996		‎‡2 DNB\|1254655735‏
996		‎‡2 LC\|no2019146004‏
996		‎‡2 ISNI\|000000038217740X‏
996		‎‡2 ISNI\|0000000053083306‏
996		‎‡2 ISNI\|000000006430248X‏
996		‎‡2 SUDOC\|28106024X‏
996		‎‡2 DNB\|1069449172‏
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996		‎‡2 CAOONL\|ncf11913703‏
996		‎‡2 CYT\|AC000642015‏
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996		‎‡2 LC\|n 2007047936‏
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996		‎‡2 CYT\|AC000209409‏
996		‎‡2 LC\|nr 93038344‏
996		‎‡2 LC\|no 00006764‏
996		‎‡2 BNF\|16203458‏
996		‎‡2 DNB\|107029411X‏
996		‎‡2 ISNI\|0000000063556293‏
996		‎‡2 RERO\|A013605902‏
996		‎‡2 SUDOC\|182460584‏
996		‎‡2 CYT\|AC000641898‏
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996		‎‡2 DNB\|1046084178‏
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996		‎‡2 DNB\|1261893298‏
996		‎‡2 DNB\|1033553875‏
996		‎‡2 ISNI\|0000000083690342‏
996		‎‡2 ISNI\|0000000064342430‏
996		‎‡2 LC\|nr 92019400‏
996		‎‡2 DNB\|1169916120‏
996		‎‡2 LC\|no2024076284‏
996		‎‡2 LC\|no2007107342‏
996		‎‡2 PLWABN\|9813704001905606‏
996		‎‡2 LC\|no2007107341‏
996		‎‡2 LC\|n 2023016711‏
996		‎‡2 LC\|n 2014014526‏
996		‎‡2 ISNI\|0000000078379576‏
996		‎‡2 ISNI\|0000000387713267‏
996		‎‡2 LC\|nr 92006496‏
996		‎‡2 CYT\|AC000375301‏
996		‎‡2 LC\|nr 88011201‏
996		‎‡2 SUDOC\|240992598‏
996		‎‡2 LC\|no2021023046‏
996		‎‡2 LC\|n 2019038440‏
996		‎‡2 BIBSYS\|90191049‏
996		‎‡2 SUDOC\|254090958‏
996		‎‡2 CYT\|AC000557538‏
996		‎‡2 CAOONL\|ncf10197331‏
996		‎‡2 DNB\|172768276‏
996		‎‡2 CYT\|AC000615570‏
996		‎‡2 ISNI\|0000000064298193‏
996		‎‡2 ISNI\|000000044630267X‏
996		‎‡2 DNB\|1346472920‏
996		‎‡2 NSK\|000431915‏
996		‎‡2 DNB\|1241481792‏
996		‎‡2 LC\|no2008040262‏
996		‎‡2 ISNI\|0000000024955953‏
996		‎‡2 ISNI\|0000000497640775‏
996		‎‡2 LC\|no 98069034‏
996		‎‡2 CAOONL\|ncf11059289‏
996		‎‡2 LC\|n 85308920‏
996		‎‡2 SELIBR\|374179‏
996		‎‡2 DNB\|1217741216‏
996		‎‡2 SZ\|1129186415‏
996		‎‡2 LC\|n 93094009‏
996		‎‡2 LC\|nb2012012326‏
996		‎‡2 PLWABN\|9812852944905606‏
996		‎‡2 ISNI\|0000000387137116‏
996		‎‡2 NSK\|000461453‏
996		‎‡2 DNB\|1166465055‏
996		‎‡2 LC\|n 2008037941‏
996		‎‡2 LC\|no2023109007‏
996		‎‡2 PLWABN\|9811566399305606‏
996		‎‡2 NSK\|000727709‏
996		‎‡2 LC\|no2021046509‏
996		‎‡2 DNB\|1158861249‏
996		‎‡2 CYT\|AC000641491‏
996		‎‡2 DNB\|1232186325‏
996		‎‡2 NII\|DA12045061‏
996		‎‡2 LC\|no2015064816‏
996		‎‡2 NDL\|001242781‏
996		‎‡2 ISNI\|0000000063305988‏
996		‎‡2 DNB\|1257349465‏
996		‎‡2 CYT\|AC000217892‏
996		‎‡2 ISNI\|0000000047487136‏
996		‎‡2 CYT\|AC000462478‏
996		‎‡2 ISNI\|0000000399683595‏
996		‎‡2 LC\|n 2014047915‏
996		‎‡2 NSK\|000158613‏
996		‎‡2 ISNI\|0000000064152629‏
996		‎‡2 ISNI\|0000000064202382‏
996		‎‡2 LC\|no2007107343‏
996		‎‡2 DNB\|1295713918‏
996		‎‡2 CYT\|AC000642071‏
996		‎‡2 NTA\|353979899‏
996		‎‡2 NSK\|000749799‏
996		‎‡2 BNF\|13947765‏
996		‎‡2 NUKAT\|n 2010121731‏
996		‎‡2 LC\|n 96061111‏
996		‎‡2 LC\|no2015106016‏
996		‎‡2 DNB\|1262410592‏
996		‎‡2 PLWABN\|9811552474005606‏
996		‎‡2 DNB\|1300353228‏
996		‎‡2 DNB\|1164241885‏
996		‎‡2 DNB\|1143607775‏
996		‎‡2 BNF\|14460012‏
996		‎‡2 DNB\|1103461958‏
996		‎‡2 DNB\|1025719514‏
996		‎‡2 DNB\|1333064152‏
996		‎‡2 LC\|no2019008813‏
996		‎‡2 NTA\|167920006‏
996		‎‡2 ISNI\|0000000498743469‏
996		‎‡2 ISNI\|0000000108978829‏
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996		‎‡2 ISNI\|0000000431268528‏
996		‎‡2 PLWABN\|9811771554805606‏
996		‎‡2 NTA\|364154853‏
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996		‎‡2 BIBSYS\|1707990466131‏
996		‎‡2 NTA\|438699432‏
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996		‎‡2 NSK\|000648337‏
996		‎‡2 ISNI\|0000000381308471‏
996		‎‡2 NTA\|369417666‏
996		‎‡2 ISNI\|000000011939209X‏
996		‎‡2 LC\|n 82098609‏
996		‎‡2 CYT\|AC000073129‏
996		‎‡2 CYT\|AC000641353‏
996		‎‡2 PLWABN\|9811772648405606‏
996		‎‡2 ISNI\|0000000034613324‏
996		‎‡2 LC\|n 88288392‏
996		‎‡2 LC\|n 82122804‏
996		‎‡2 LIH\|LNB:BD_p__n_;=B0‏
996		‎‡2 NTA\|439922674‏
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996		‎‡2 CYT\|AC000642122‏
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996		‎‡2 DNB\|1106281993‏
996		‎‡2 LC\|no2023111094‏
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996		‎‡2 LC\|nr 91010928‏
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996		‎‡2 LC\|no 97070661‏
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996		‎‡2 NTA\|401474194‏
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996		‎‡2 BNF\|14240951‏
996		‎‡2 LC\|nr 98033803‏
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996		‎‡2 CAOONL\|ncf10389396‏
996		‎‡2 DNB\|1306334705‏
996		‎‡2 CAOONL\|ncf10317295‏
996		‎‡2 J9U\|987007355317705171‏
997		‎‡a 0 0 lived 0 0‏ ‎‡9 1‏

VIAF

Virtual International Authority File

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