The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Evaluation of CoreConnect: A Collaborative Professional Training Programme for Provisional Psychologists in Regional NSW. [PDF]
Sudmalis N, Thomas M, Todoroska Z.
europepmc +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Integration of patient safety into educational curricula and continuing professional training - comparison of patient safety competency models. [PDF]
Eloranta S, Ketola S, Ikonen T.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Practical obstetric multi-professional training (PROMPT): the evidence for effective training. [PDF]
Papageorgiou S +7 more
europepmc +1 more source
Mental health status of students pursuing professional training: A questionnaire-based study. [PDF]
Behera S, Paluri SSSL, Mishra A.
europepmc +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Dark Emotions Are Not Always Bad: The Role of Emotions and Professional Training in Predicting Patterns of Engagement and Burnout Among Preschool Teachers. [PDF]
Wang C, Yang D, Hu J, Cai Z.
europepmc +1 more source
Preparing for an Artificial Intelligence-Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings. [PDF]
Jeyakumar T +13 more
europepmc +1 more source

