Results 131 to 140 of about 11,070 (191)

A priori bounds for the generalised parabolic Anderson model

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 5, Page 1315-1394, May 2026.
Abstract We show a priori bounds for solutions to (∂t−Δ)u=σ(u)ξ$(\partial _t - \Delta) u = \sigma (u) \xi$ in finite volume in the framework of Hairer's Regularity Structures [Invent Math 198:269–504, 2014]. We assume σ∈Cb2(R)$\sigma \in C_b^2 (\mathbb {R})$ and that ξ$\xi$ is of negative Hölder regularity of order −1−κ$- 1 - \kappa$ where κ<κ¯$\kappa <
Ajay Chandra   +2 more
wiley   +1 more source

Opportunities for the U.S. Geological Survey's National Seismic Hazard Model to Improve Seismic Risk Assessment of Critical Infrastructure

open access: yesEarthquake Spectra, Volume 42, Issue 2, May 2026.
As fragility and risk modeling techniques and computational capabilities evolve, complemented by moving toward more routine and systematic seismic risk assessment of all buildings and critical infrastructure, the authors pose a few critical questions to investigate how the U.S. Geological Survey (USGS) National Seismic Hazard Models (NSHMs) can be used
Kishor S. Jaiswal, N. Simon Kwong
wiley   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

open access: yesInternational Journal for Numerical Methods in Fluids, Volume 98, Issue 5, Page 557-577, May 2026.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime   +3 more
wiley   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, Volume 55, Issue 3, Page 1674-1682, May 2026.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

XIAP Deficiency Impairs Colonic Tuft Cell Development and Predisposes to Crohn's Disease

open access: yesMedComm, Volume 7, Issue 5, May 2026.
XIAP deficiency leads to impaired colonic tuft cells development and JAK–‐STAT pathway hyperactivation in CD patients and mice. Mechanically, XIAP regulates tuft cells development through Wnt–‐TLE4/TCF–‐ASCL2 signaling. Tuft cells deficiency predisposes XIAP‑‐deficient CD patients or Xiap−/−‐/‐ mice to hazardous microbial effects, driving colonic ...
Rongli Fang   +28 more
wiley   +1 more source

Analyzing the neural wave structures in the field of neuroscience. [PDF]

open access: yesSci Rep
Younas U   +4 more
europepmc   +1 more source

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