Results 221 to 230 of about 1,139,330 (298)
Incorporating terminal velocities into Lagrangian stochastic models of particle dispersal in the atmospheric boundary layer. [PDF]
Reynolds AM.
europepmc +1 more source
A quasi‐periodic porous structure‐based temperature and pressure dual‐mode electronic skin was proposed. Benefiting from the quasi‐periodic porous structure, the temperature and pressure sensing performance of the electronic skin can be precisely constructed and optimized by changing the size of the porous structure. By analyzing the thermoelectric and
Xiaoguang Gao +5 more
wiley +1 more source
Accounting for non-stationarity in epidemiology by embedding time-varying parameters in stochastic models. [PDF]
Cazelles B, Champagne C, Dureau J.
europepmc +1 more source
Schematic illustration demonstrating that hepatic Mettl3 depletion significantly elevates the secretion of Mif and Csf1. This elevation facilitates Trem2+ macrophage infiltration and triggers cholangiocyte remodeling through the Spp1‐Cd44 interaction, resulting in spontaneous PSC development in vivo.
Wenting Pan +19 more
wiley +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
Time-dependent propagators for stochastic models of gene expression: an analytical method. [PDF]
Veerman F, Marr C, Popović N.
europepmc +1 more source
Learned Conformational Space and Pharmacophore Into Molecular Foundational Model
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang +8 more
wiley +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source

