Results 81 to 90 of about 3,178 (169)

Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework

open access: yesGeographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami   +5 more
wiley   +1 more source

Potential for Natural Antimicrobials, Including Mushroom Chitosan, to Control Shiga‐Toxigenic Escherichia coli in Ground Beef

open access: yesJournal of Food Safety, Volume 46, Issue 2, April 2026.
This study evaluated the antimicrobial activity of 11 natural agents against eight STEC serotypes by determining their MIC and MBC at different pH and temperature conditions. Five agents demonstrating the strongest inhibitory activity in vitro were then tested at various concentrations in beef burgers inoculated with Escherichia coli O157 and stored ...
Angelos Papadochristopoulos   +4 more
wiley   +1 more source

Price Indices Rekindled, 1970s–1990s: Theory and Practice at Cross Purposes?

open access: yesJournal of Economic Surveys, Volume 40, Issue 2, Page 898-914, April 2026.
ABSTRACT This paper revisits the discussions on price indices during a period marked by theoretical advancements and practical challenges in measuring inflation. Index‐number theorists sought to improve accuracy, yet national statistical offices largely maintained established practices due to concerns over data availability, stability, and public trust.
Victor Cruz‐e‐Silva, Bert M. Balk
wiley   +1 more source

Mesh and Model Adaptivity for Multiscale Elastoplastic Models With Prandtl‐Reuss Type Material Laws

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.
ABSTRACT Homogenization methods simulate heterogeneous materials like composites effectively, but high computational demands can offset their benefits. This work balances accuracy and efficiency by assessing model and discretization errors of the finite element method (FEM) through an adaptive numerical scheme.
Arnold Tchomgue Simeu   +2 more
wiley   +1 more source

Homogenization With Guaranteed Bounds via Primal‐Dual Physically Informed Neural Networks

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.
ABSTRACT Physics‐informed neural networks (PINNs) have shown promise in solving partial differential equations (PDEs) relevant to multiscale modeling, but they often fail when applied to materials with discontinuous coefficients, such as media with piecewise constant properties. This paper introduces a dual formulation for the PINN framework to improve
Liya Gaynutdinova   +3 more
wiley   +1 more source

Orienteering with One Endomorphism. [PDF]

open access: yesMathematica (N Y), 2023
Arpin S   +5 more
europepmc   +1 more source

Machine Learning Prediction of Laccase‐Catalyzed Oxidation of Aromatic Compounds Using Curated Enzyme‐Specific Datasets

open access: yesJournal of Computational Chemistry, Volume 47, Issue 7, March 15, 2026.
We curate laccase‐substrate datasets and train five classifiers, from regularized logistic regression to tree‐based models and ChemBERTa, to predict whether a substrate will be oxidized. Feature importance and attention maps projected onto molecular substructures make the predictions interpretable and useful for pre‐screening before the bench ...
Yulia Kulagina   +3 more
wiley   +1 more source

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