Results 201 to 210 of about 1,349,495 (300)

Garbage in, garbage out: stringent quality control of behavioral data boosts signal in brain-behavior associations. [PDF]

Cereb Cortex
Elsayed M, Deng WQ, Belisario KL, MacKillop J.   +3 more
europepmc   +1 more source

A Worm‐Inspired Origami Robot with Multimodal Locomotion for Adaptive Mobility in Complex Pipeline Environments

Advanced Science, EarlyView.
An origami worm‐inspired robot achieves multimodal locomotion in confined pipelines through mechatronic integration that embeds actuation, control, and communication within each origami module. Large, reversible configuration and dimensional changes enable 25 gaits synthesized by a unified framework across peristaltic, inchworm, and wheel‐rolling modes
Qiwei Zhang, Kangning Tan, Zihan He, Hongsen Pang, Yanjie Wang, Hongbin Fang, Jian Xu   +6 more
wiley   +1 more source

Automorphisms of relatively hyperbolic groups and the Farrell-Jones conjecture. [PDF]

Math Ann
Andrew N, Guerch Y, Hughes S.
europepmc   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Low-temperature hyperbolic phonon polaritonics with suppressed phononic scattering. [PDF]

Sci Adv
Zhong G, Liu L, Bi W, Xie Z, Cui Z, Yang H, Wu J, Sun Q, Xiao Y, Xing Q, Wu Y, Cheng T, Yan H, Peng B, Bao Q, Wang C, Dai Z, Ou Q.   +17 more
europepmc   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Effect of Thickener Rheology on Bolus Cohesivity in Dysphagia Management. [PDF]

J Texture Stud
Stading M, Eckardt J.
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

GAHIB: graph attention VAE with a hyperbolic information bottleneck for biologically structured single-cell representations. [PDF]

Front Genet
Fu Z, Fu J, Wang X, Liu Y, Ran T.
europepmc   +1 more source