Results 151 to 160 of about 11,192 (262)
Nonlinear KCCA in fMRI activation analysis: Self-supervised optimization and robust back-reconstruction. [PDF]
Han C, Yang Z, Zhuang X, Cordes D.
europepmc +1 more source
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
Linear Stability of the Slowly-Rotating Kerr-de Sitter Family. [PDF]
Fang AJ.
europepmc +1 more source
Interacting Parallel Fluidic Hysterons
The parallel coupling of fluidic hysterons is introduced, establishing advanced functionalities in inflatable soft systems. A pressure–volume framework reveals how preset volumes Δv∗${\Delta }v^*$ tune nonlinear interactions between hysterons and actuation sequences without changing architecture. Experiments validate the predictions, opening new routes
Katrien Stinissen +2 more
wiley +1 more source
Spatiotemporal visualization of long-range anisotropic plasmon polaritons in hyperbolic MoOCl<sub>2</sub>. [PDF]
Ghosh A +6 more
europepmc +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
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 +3 more
wiley +1 more source
Untangling biological complexity: A deep learning approach to separating multiple signals in single-cell data. [PDF]
Yau C.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
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 +3 more
wiley +1 more source
Multi-order hyperbolic graph convolution and aggregated attention for social event detection. [PDF]
Liu Y, Tan TP, Liu Z, Li Y.
europepmc +1 more source
This study investigates zwitterionic all‐solid‐state electrolytes, demonstrating strong carboxyl‐Li+ interaction that forms “ion‐enrichment pathway”‐like domains and manipulates Li+ deposition. Additionally, surface‐enriched zwitterions generate a dual‐layer SEI with an inner Li2O‐rich and outer LiF‐rich structure. Through ionic flux regulation and SEI
Wentao Xie +13 more
wiley +1 more source

