Extracting Social Determinants of Health From Electronic Health Records: Development and Comparison of Rule-Based and Large Language Model Methods. [PDF]
Wang B +4 more
europepmc +1 more source
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Contrastive language image pretraining for a cardiac magnetic resonance image embedding with zero-shot capabilities. [PDF]
Nakashima M +10 more
europepmc +1 more source
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
Class-Sensitive TPB-Guided Memory Refinement for Online Zero-Shot Anomaly Detection. [PDF]
Zhao Z, Song F, Wang X, Yuan T, Zhou J.
europepmc +1 more source
Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi +3 more
wiley +1 more source
Explainable EEG-based machine learning for early diagnosis of Alzheimer's disease and frontotemporal dementia. [PDF]
Saeed F, Aldera S.
europepmc +1 more source
Zero-Shot-Learning for Plant Species Classification
Soukaina El Maachi +2 more
openaire +2 more sources
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Optimizing prompting strategies improves large language model classification of pain- and fatigue-related functional impact in childhood cancer survivors. [PDF]
Sim JA +8 more
europepmc +1 more source

