Shoulder-to-shoulder: healthcare professionals' experiences of learning during electronic health record implementation in municipal primary care. [PDF]
Wiggen CU +3 more
europepmc +1 more source
Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley +1 more source
Burnout and Well-being at Work: Exploring Psychological Mechanisms Through Stress Appraisal Perspective. [PDF]
Gupta R, Sharma H, Choudhary P.
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
Working conditions, job stress and work-related consequences among hospital employees-differences by professional group, working hours and job levels: A cross-sectional study. [PDF]
Hander NR +16 more
europepmc +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
Symposium: Professional Complexity and the Future Study of Professions
Andreas Eriksen, Tone Alm Andreassen
doaj +1 more source
Unpacking flexible work and employee thriving: knowledge-motivation mediation and the boundary role of cognitive flexibility. [PDF]
Xia B, Zhang M, Li Z.
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source

