Notice bibliographique
Résumé
With this first 2007 issue of the Journal, it is time again to recognize the services of all individuals who have contributed to its continuing growth in the past year. I would like to gratefully acknowledge the support of the increasing number of authors who have chosen this Journal over others, and also the dedication and work of all reviewers and members of the Editorial Board. Particularly deserving of special appreciation and thanks are the outstanding reviewers and two of the retiring Associate Editors for their six years of exceptional service.On behalf of the members of the Editorial Board and staff, I would like to wish all a prosperous New Year.K. F. EhmannEach year, based on nominations by the members of the Editorial Board, the services of outstanding reviewers are recognized. This year, they are:Yusuf AltintasUniversity of British ColumbiaMuammer KocVirginia Commonwealth UniversityYuefeng LuoFederal Mogul CorporationSteven MalkinUniversity of MassachusettsGracious NgaileNorth Carolina State UniversityO. Bruak OzdoganlarCarnegie Mellon UniversityWon-Soo YunKorea Polytechnic UniversityAlbert Shih is a Professor of Mechanical Engineering, University of Michigan at Ann Arbor. From 1991 to 1998, Dr. Shih worked at Cummins Inc. in Columbus, Indiana as a manufacturing engineer to develop advanced engineering materials for a wide variety of diesel engines and fuel systems applications. From 1998 to 2002, he was an Associate Professor in the Department of Mechanical and Aerospace Engineering at North Carolina State University at Raleigh, North Carolina. Dr. Shih's research and teaching interests are in precision machining of advanced materials, biomedical manufacturing, precision machine design, optical measurements, and electrical discharge machining (EDM). Professor Shih is the recipient of the 1999 ASME BOSS Award, 2000 NSF CAREER Award, and 2004 SAE Ralph Teetor Education Award. Dr. Shih also serves as an Associate Editor of the International Journal for Manufacturing Science and Production.Y. Lawrence Yao is Professor and Chair of the Department of Mechanical Engineering at Columbia University, where he also serves as the Director of the Manufacturing Research Laboratory (MRL). Before joining Columbia in 1994, he was a Senior Lecturer in the School of Mechanical and Manufacturing Engineering at the University of New South Wales, Sydney, Australia. He received his Ph.D. from the University of Wisconsin–Madison in 1988, following his MS from the same institution, and a BE from Shanghai Jiao Tong University, China, all in Mechanical Engineering. Dr. Yao and his team in the Manufacturing Research Laboratory (MRL) are interested in multidisciplinary research in manufacturing and design, nontraditional manufacturing, laser materials processing, laser assisted material removal, shaping, and surface modification, laser applications in industry and art restoration, robotics in industry, and health care. Professor Yao currently serves on the Board of Directors of the Laser Institute of America, and of the North American Manufacturing Research Institution of SME. He also serves as an Associate Editor of the SME Journal of Manufacturing Processes, SME Journal of Manufacturing Systems, and High Temperature Material Processes: An International Journal, France. He is the recipient of the 2006 Blackall Machine Tool and Gauge Award from ASME.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».