Examining students' current academic motivation in relation to peer interactions and social environment in the classroom using the Experience Sampling Method. [PDF]
Knickenberg M, Zurbriggen CLA.
europepmc +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Perceived academic support and academic achievement among Ethiopian first-year university students: the serial mediating roles of academic motivation and resilience. [PDF]
Melaku BK, Negasi RD, Tolla TT.
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Nursing education in the digital era: the role of digital competence in enhancing academic motivation and lifelong learning among nursing students. [PDF]
Amin SM +7 more
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Gender differences in acute and perceived stress, bullying, and academic motivation among nursing and midwifery students. [PDF]
Alharbi HF +6 more
europepmc +1 more source
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
Educational Satisfaction, Academic Motivation, and Related Factors Among Nursing Students in Iran: A Cross-Sectional Study. [PDF]
Abdi A +3 more
europepmc +1 more source

