Interdisciplinary Nursing Research Forum Successfully Held in Hong Kong
Notice bibliographique
Résumé
The “Interdisciplinary Nursing Research Forum,” jointly organized by the School of Nursing at Peking University, the Interdisciplinary Nursing Research (INR) journal, and the Nethersole School of Nursing at the Chinese University of Hong Kong, was successfully held in Hong Kong from October 20 to 24, 2025. With the theme of “Integration and Innovation: Empowering Nursing,” the forum brought together experts and scholars from nursing and related fields around the world to discuss innovative interdisciplinary research for addressing global health challenges. The opening ceremony of the forum was hosted by Jing Zhou, Deputy Dean of the School of Nursing at Peking University. Professor Zhiwen Wang, Director of the Center for Evidence-Based Nursing Research at Peking University Health Science Center and Associate Editor-in-Chief of INR, pointed out that integration and innovation in nursing are crucial strategic measures for addressing global health challenges and are essential for the high-quality development of the nursing discipline. Professor Wai Tong Chien, Director of the Nethersole School of Nursing at the Chinese University of Hong Kong, emphasized that nursing is evolving from a “terminal role” in health care services to a technology-led force throughout the entire process of disease prevention, diagnosis, treatment and rehabilitation, showcasing a new landscape of disciplinary integration. The forum featured one main session and two specialized sub-forums: “Smart Health and Eldercare” and “Evidence Translation and Application.” Experts and scholars from universities in the United Kingdom, the United States, Canada, Thailand, the Philippines, Singapore, and mainland China engaged in profound discussions on cutting-edge topics, including the innovative application of Artificial Intelligence in chronic disease management, the development of virtual simulation technology for nursing education and practice, and the application of digital and intelligent technology to rehabilitation nursing. The participating experts agreed that interdisciplinary integration is essential for innovative development in nursing and critical for addressing future health challenges. The forum provided a high-level academic exchange platform for nursing scholars around the world, particularly young researchers. The atmosphere was dynamic, and the discussions were lively, showcasing the vitality and frontier trends of nursing research. The successful conclusion of this forum marks a significant step forward in international cooperation for interdisciplinary nursing research. The School of Nursing at Peking University and the INR journal have stated their commitment to continuously building an open and shared international academic platform, driving disciplinary crossover and scientific innovation, and contributing Chinese expertise to the high-quality development of the global nursing profession. Conflict of interest disclosures The authors declare that they have no financial conflict of interest with regard to the content of this report.
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 | 0,036 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,014 | 0,022 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,006 | 0,011 |
| Intégrité de la recherche | 0,001 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».