Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
Effect of evidence-based education program with mentoring system for prevention of ventilator-associated pneumonia on nurses' competency to improve quality care for patients in the intensive care unit: a quasi-experimental study in a tertiary hospital in Bangladesh. [PDF]
Akhter N +7 more
europepmc +1 more source
Evaluation of a Professional Graduate Program: Master's in Instrumental Chemical Analysis
Jean-François Koprivnjak
openalex +2 more sources
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
Students' motives for enrolling in the master of nursing program in Croatia despite degree recognition uncertainties: a cross-sectional study. [PDF]
Vuksa A +15 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
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
Understanding the learning experience of Chinese nursing students in an English-medium instructional program: growth and challenges. [PDF]
Liang Q +6 more
europepmc +1 more source

