Results 151 to 160 of about 488 (225)

Phase-lag mixed integral equation of a generalized symmetric potential kernel and its physical meanings in (3+1) dimensions. [PDF]

Heliyon
Jan AR.
europepmc   +1 more source

Microscale FFT‐based modeling of artificial porous microstructures and analysis of macroscopic models under varying loading scenarios

GAMM-Mitteilungen, Volume 49, Issue 3, September 2026.
Abstract This article investigates the modeling of metallic isotropic porous materials by evaluating and comparing macroscopic and microstructure‐resolved simulation approaches. At the macroscopic level, different variants of the Deshpande‐Fleck (DF) model are implemented to describe the elastoplastic behavior of metallic porous materials.
Julian Dahler, Sarah Staub, Lisa Scheunemann   +2 more
wiley   +1 more source

Complex Time Approach to the Hamiltonian and the Entropy Production of the Damped Harmonic Oscillator. [PDF]

Entropy (Basel)
Aslani KE.
europepmc   +1 more source

Pure Gaussian Apodisation Reduces Integral Crosstalk Sensitivity in Quantitative NMR

Magnetic Resonance in Chemistry, Volume 64, Issue 9, Page 748-757, September 2026.
Exponential apodisation redistributes peak area away from its centre, which increases crosstalk with neighbouring peaks and reduces integral trueness when integrating between defined regions. A pure Gaussian apodisation limits wing growth: Crosstalk between peaks is not worsened, and trueness is conserved during integration.
A. Flook, C. S. Raman, G. C. Lloyd‐Jones   +2 more
wiley   +1 more source

Single‐cell marker gene clustering: A unified deep learning framework for marker gene‐based clustering of single‐cell RNA‐sequencing data

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) has transformed the study of cellular heterogeneity by making it possible to classify individual cells and their functional states. However, the analysis remains difficult because high dropout rates lead to sparse and noisy expression data.
Shahriar Rahman Niloy, Toushif Muktashid Hasan, Md. Saiduzzaman Apu, Fahim Hafiz, Salekul Islam, Riasat Azim   +5 more
wiley   +1 more source

Understanding cooperative membership and maize market participation in Rwanda: A Bayesian triple‐hurdle analysis

Annals of Public and Cooperative Economics, Volume 97, Issue 3, Page 777-799, September 2026.
Abstract Smallholder market participation studies often focus narrowly on selling decisions, overlooking the institutional role of agricultural cooperatives, particularly in contexts like Rwanda, where cooperatives underpin agricultural policy. Consequently, empirical evidence on how cooperative membership shapes farmers’ commercialization across ...
John N. Ng'ombe, Jules Ngango, Aristide Maniriho, Martinson Ankrah Twumasi   +3 more
wiley   +1 more source

Instructional Design and Practice of an Interactive Animation Course for the Cultivation of Computational Thinking Ability With the Support of Flowcharts

European Journal of Education, Volume 61, Issue 3, September 2026.
ABSTRACT Computational thinking (CT) has received considerable attention as a key competency in education, yet effective approaches for developing CT remain limited. This quasi‐experimental study included 63 undergraduates to examine the effects of flowchart‐supported learning on CT.
Wei Tang, Jun‐qing Cheng, Xue‐fen Lin   +2 more
wiley   +1 more source

Alternation of must, have to, and need to in English as a lingua franca

World Englishes, Volume 45, Issue 3, Page 532-553, September 2026.
Abstract This study explores the grammatical variability of modal auxiliary verbs in English as a lingua franca. Focusing on the ongoing change must, have to, and need to, this research utilizes two spoken corpora: the Vienna–Oxford International Corpus of English (VOICE) and the Asian Corpus of English (ACE).
Chunyuan Nie, Lea Meriläinen, Mikko Laitinen   +2 more
wiley   +1 more source

Thermo‐Mechanical Topology Optimization: An Immersed FEM Level‐Set‐Based Approach

International Journal for Numerical Methods in Engineering, Volume 127, Issue 15, 15 August 2026.
ABSTRACT This paper proposes a multi‐physics framework for topology optimization using an immersed level set‐finite element model. The work extends the capabilities of a recently developed immersed level‐set method to thermo‐mechanical problems, including coupling and material‐dependent properties.
Farzad Tatar, Silvia Monchetti, Elisabetta Manconi, Roberto Brighenti   +3 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source