Results 131 to 140 of about 3,488,731 (283)
Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
This study analyzed 58 503 laparoscopic right hemicolectomies for colon cancer in Japan between 2018 and 2022, comparing outcomes between male and female surgeons. No significant differences were found in surgical mortality or severe complications. Tailored surgical training programs for female surgeons may further enhance surgical outcomes.
Akihisa Matsuda +10 more
wiley +1 more source
This prospective randomized trial evaluated whether prehabilitation, exercise and nutrition intervention, enhance skeletal muscle mass during neoadjuvant chemotherapy in older patients with esophageal cancer undergoing esophagectomy. We also investigated whether exercise alone was sufficient to increase skeletal muscle mass, and whether nutritional ...
Keijiro Sugimura +7 more
wiley +1 more source
Adapt or Perish: Updating the Predoctoral Training Model. [PDF]
Chabowski D +3 more
europepmc +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
"How can we involve Patients?" - Students' perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care. [PDF]
Syversen A +10 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
Doctoral training to support sustainable soil geochemistry research in Africa. [PDF]
Manzeke-Kangara MG +20 more
europepmc +1 more source
Memory‐Reduced Convolutional Neural Network for Fast Phase Hologram Generation
This article reports a lightweight convolutional neural network framework using INT8 quantization to efficiently generate 3D computer‐generated holograms from a single 2D image. The quantized model reduces memory usage and computational cost, accelerates inference speed, and maintains high output quality, enabling real‐time holographic display on low ...
Chenliang Chang +6 more
wiley +1 more source

