Interpreting artificial neural networks to detect genome-wide association signals for complex traits. [PDF]
Yelmen B +5 more
europepmc +1 more source
Actuating and Sensing Composites of Liquid Crystal Elastomers and Poly(ionic liquid)s
Ionic conductive, mechanically tough, flexible, and stretchable filaments of a composite material comprising a liquid crystal elastomer and a poly(ionic liquid) are produced through 3D printing, which exhibit large actuation strain under stimulation and electrical resistance variation in response to deformation or environmental condition changes. Their
Zeping Liu +6 more
wiley +1 more source
Assessing the impact of human error factors on railway accident severity: Evidence from accident investigation reports in Korea. [PDF]
Kim C, Lee J.
europepmc +1 more source
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source
Does neurocognition predict personal recovery over time in psychotic disorder patients? [PDF]
Rietveld R +4 more
europepmc +1 more source
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
A Novel Image Encryption Scheme Based on Two-Dimensional Chaotic Map Constructed from Ackley Function and DNA Operations. [PDF]
Jiang C, Zhang X, Zhang X.
europepmc +1 more source
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep learning, and large language models on free-text ED records. [PDF]
Costa M +5 more
europepmc +1 more source

