Notice bibliographique
Résumé
Current Opinion in Clinical Nutrition and Metabolic Care was launched in 1998. It is one of a successful series of review journals whose unique format is designed to provide a systematic and critical assessment of the literature as presented in the many primary journals. The fields of clinical nutrition and metabolic care are divided into 15 sections that are reviewed once a year. Each section is assigned a Section Editor, a leading authority in the area, who identifies the most important topics at that time. Here we are pleased to introduce the Section Editors for this issue. SECTION EDITORS Chris McGloryChris McGloryChris McGlory is an Associate Professor at Queen's University, Ontario, Canada. Dr. McGlory specializes in the use of stable isotopic tracers to track skeletal muscle protein turnover during periods of fasting, feeding, training, and surgery. His work employs a range of methodologies such as deuterium labelling of proteins and magnetic resonance imaging, as well as a variety of molecular biology techniques for measurement of enzyme activity, protein expression, and post-translational modification. Currently, his lab is focused on exploring how omega-3 fatty acid and essential amino acid intake protect against muscle disuse atrophy. Dr. McGlory has received over $3 M in funding from agencies such as European Society for Clinical Nutrition and Metabolism, Canadian Institutes of Health Research, National Sciences and Engineering Research Council of Canada, and the New Frontiers in Research Fund to support his work. He has published over 70 scientific papers and has delivered numerous invited national and international presentations at prestigious scientific meetings, such as the European College of Sport Science, the American College of Sports Medicine, and the International Biochemistry of Exercise Conference. In 2024, he was awarded the Young Investigator Award by the Canadian Society for Exercise Physiology for his work related to stable isotopes and skeletal muscle atrophy. Javier T. GonzalezJavier T. GonzalezJavier T. Gonzalez, FASN, is Professor of Nutrition and Metabolism at the University of Bath, UK. Prof. Gonzalez is interested in human fuel use. How we get fuel from our diet, burn fuels during exercise; and store fuels when they exceed our requirements. His research group employs a variety of methods to understand human fuel use, including indirect calorimetry, tissue biopsies and stable isotope infusion and ingestion. They use these methods across laboratory-based and free-living studies. Prof. Gonzalez joined the Department for Health at the University of Bath in 2014 as a Lecturer (Assistant Professor) before being promoted to Senior Lecturer (Associate Professor) in 2017, Reader (Associate Professor) in 2020 and Professor of Nutrition and Metabolism in 2022. He is also a consultant to sports teams and industry. In recognition of his research, he received the Julie Wallace Award in 2018 from the Nutrition Society and in 2025, became one of the Inaugural Excellence in Nutrition Fellows of the American Society for Nutrition. He is also an Associate Editor for the International Journal of Sport Nutrition & Exercise Metabolism. Karin AmreinKarin AmreinKarin Amrein, MD, MSc trained at the Medical University of Graz, Austria, including one Erasmus semester in Cagliari, Italy, graduating in 2001 as the youngest MD in Austria aged 21. Following this, Dr. Amrein started training in general internal medicine in Switzerland. In 2006, she made a detour to transfusion medicine at the Medical University of Graz, Austria, and developed an interest in clinical research, studying the effects of apheresis on bone health of blood donors. In 2008, Dr. Amrein moved to the Division of Endocrinology and was involved in several ICU trials on glycemic control. She now works as an internist and has a subspecialty degree in intensive care medicine and endocrinology/ metabolism. Dr. Amrein is the chief investigator for the VITDALIZE Study: Effect of High-dose Vitamin D3 on 28-day Mortality in Adult Critically Ill Patients (VITDALIZE), that now also recruits in several European countries including Germany, Belgium and the United Kingdom. Her research interests are vitamin D in critical illness, hypoparathyroidism, bone metabolism in critical care and other settings, and donor health, specifically donation induced iron depletion (and its therapy) and the effects of apheresis on bone health.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,044 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,005 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,006 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,206 | 0,128 |
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 source (Gemma direct ou Codex distillé), 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 ».