Information Dense and Industry Scalable Accelerated Formation
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker +3 more
wiley +1 more source
State-transition trajectories in out-of-hospital cardiac arrest: neurological outcomes beyond myocardial activity. [PDF]
Kandori K +6 more
europepmc +1 more source
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Machine learning to predict hospital admission at triage in paediatric emergency care: A meta-analysis. [PDF]
Pérez BP +4 more
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Effects of Psychiatric Inpatient or Residential Care on Service Use After Psychiatric Emergency Department Boarding. [PDF]
Overhage LN +4 more
europepmc +1 more source
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source
Pre-hospital blood transfusion in non-traumatic major haemorrhage: a retrospective observational study. [PDF]
Ru S.
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
Impact of World Trade Center dust exposure on upper-aero digestive tract disorders and sinonasal surgery: findings from patients seen in the Department of Otolaryngology - Head and Neck Surgery at Mount Sinai Hospital. [PDF]
Romero Castillo HM +5 more
europepmc +1 more source

