Evaluation of Large Language Models as Tools, Models, and Partners in Creative Thinking Research: A Selective Narrative Review with the GCA Framework. [PDF]
Huang K, Liu C, Yang J.
europepmc +1 more source
Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao +6 more
wiley +1 more source
Strengthening Rare Disease Data Readiness: a semantic approach to cross-registry interoperability. [PDF]
Hentrich CM +10 more
europepmc +1 more source
Multi‐Modal Low‐Power Adaptive Braille Recognition System Based on Hf0.3Zr0.7O2 Memristor
A multimodal adaptive perception system based on HZO ferroelectric memristor realizes efficient Braille digit recognition via reservoir computing. It delivers high recognition accuracy with ultralow‑energy analog computation, offering a promising hardware solution for environment‑robust neuromorphic assistive devices for visually impaired users ...
Jikang Xu +9 more
wiley +1 more source
WVM-UNet: A Wavelet-Vision Mamba Framework for Enhanced Medical Image Segmentation. [PDF]
Yang Y, Gao W, Wu Z, Yang C.
europepmc +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
MHF-Net: a multi-modal hybrid fusion network for ophthalmic disease diagnosis. [PDF]
Xiong Z +6 more
europepmc +1 more source
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge +13 more
wiley +1 more source
Characterizing LLM scientific concept generation: A multi-dimensional measurement study. [PDF]
Ahmadpour J.
europepmc +1 more source
Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge +6 more
wiley +1 more source

