Results 161 to 170 of about 216,818 (306)

Cannabinoid exposure during pregnancy: Cardiorespiratory effects and offspring outcomes

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Prenatal exposure to cannabinoids has been investigated across human and animal studies to understand its impact on physiological development. Evidence suggests that early‐life cannabinoid exposure influence multiple developmental processes, extending beyond neurodevelopmental outcomes to potentially affect placental function ...
Luis Gustavo A. Patrone   +1 more
wiley   +1 more source

Arbitrary Lagrangian–Eulerian Formulation in a Rotating Frame to Model Friction Spinning

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Friction spinning is a metal forming process that can be used to manufacture various shapes by rotating a metallic workpiece relative to a blunt tool. When used as a hot metal forming process, the relative velocity between workpiece and tool is increased until substantial heat is generated due to friction.
Johannes Friedlein   +3 more
wiley   +1 more source

Multicontinuum Homogenization for Poroelasticity Model

open access: yesInternational Journal for Numerical Methods in Fluids, Volume 98, Issue 9, Page 1035-1060, September 2026.
This work derives a generalized multicontinuum poroelasticity model using the multicontinuum homogenization method to enable accurate coarse‐grid simulations of coupled flow–mechanics processes in highly heterogeneous porous media. Coupled constraint cell problems are formulated, and the corresponding multicontinuum equations are rigorously derived ...
Dmitry Ammosov   +2 more
wiley   +1 more source

A Semi‐Discrete Lagrangian‐Eulerian Numerical Scheme for Diffusive‐Dispersive Conservation Laws With Discontinuous Coefficient

open access: yesNumerical Methods for Partial Differential Equations, Volume 42, Issue 5, September 2026.
ABSTRACT In this work, we present an extension of the semi‐discrete Lagrangian‐Eulerian numerical scheme for diffusive‐dispersive conservation law problems, including a jump discontinuous flux function. As in the one‐dimensional scalar hyperbolic case, the no‐flow curves also organize the geometry of the method.
Eduardo Abreu   +2 more
wiley   +1 more source

Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach

open access: yesJournal of the Science of Food and Agriculture, Volume 106, Issue 11, Page 6766-6778, 30 August 2026.
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley   +1 more source

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