Results 201 to 210 of about 401,256 (317)
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen +7 more
wiley +1 more source
Optimizing lung SBRT delivery: A hybrid approach combining dynamic conformal arc (DCA) and volumetric modulated arc therapy (VMAT) techniques. [PDF]
Snyder KC +5 more
europepmc +1 more source
Moment varieties from inverse Gaussian and gamma distributions
Oskar Henriksson, Lisa Seccia, Teresa Yu
openalex +1 more source
Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets
A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai +18 more
wiley +1 more source
Sex Differences in Functional Connectivity Patterns During Mental Rotation Task: An Event-Related EEG Study. [PDF]
Wang S.
europepmc +1 more source
The interaction between trophoblasts and decidual polymorphonuclear myeloid‐derived suppressor cells (dPMN‐MDSCs) via the XCL1–XCR1 axis is crucial for fetal development during the third trimester. Disruption of this axis impairs FOXO1 activity and causes metabolic imbalance in dPMN‐MDSCs, contributing to adverse outcomes associated with advanced ...
Meiqi Chen +12 more
wiley +1 more source
Entomopathogenic fungi disrupt the feeding behavior of Euschistus heros in soybean. [PDF]
de Oliveira GP +5 more
europepmc +1 more source
An inverse-gamma source variance prior with factorized parameterization for audio source separation
Dionyssos Kounades-Bastian +4 more
semanticscholar +1 more source
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu +10 more
wiley +1 more source
Predicting the remaining useful life of metro pantograph sliding strips using gamma processes and its implications for maintenance scheduling. [PDF]
Liu J, Wu C.
europepmc +1 more source

