How employees respond to customer anger and sadness: emotional reciprocity and recovery strategies in service failures. [PDF]
Song P, Wang Y, Yang Y, Li Y.
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Generation Alpha's expectations at work: Well-being, pay and sense of agency. [PDF]
Syper-Jędrzejak M +4 more
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 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
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
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
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
Burnout and Well-being at Work: Exploring Psychological Mechanisms Through Stress Appraisal Perspective. [PDF]
Gupta R, Sharma H, Choudhary P.
europepmc +1 more source

