Results 161 to 170 of about 788 (248)
Unpacking Corporate Twin Transformation Through Configurational Analysis
ABSTRACT This study focuses on the interplay of factors that influence the leveraging of effective corporate Twin Transformation (TT) which enables organizations to address burgeoning regulations, evolving customer needs, and rising awareness on sustainability.
Rutuja Lanjewar Haindl +4 more
wiley +1 more source
Multi-Scale Performance Assessment of Asphalt Mixtures Modified with Waste PVC Foils of Varying Geometries. [PDF]
Kırbaş U +4 more
europepmc +1 more source
A phase‐change magneto‐optical metagrating combines GST switching with InAs guided‐mode resonances to achieve strong nonreciprocal absorption contrast near normal incidence. A static magnetic bias creates direction‐dependent resonant splitting, while GST crystallization quenches and latches the response.
Ye Ming Qing +5 more
wiley +1 more source
Urban road surface crack detection based on U-net and ResNeXt network. [PDF]
Qiao J, Wang H, Zhou Z, Meng Y, Gong M.
europepmc +1 more source
Reactive melt extrusion utilizing nitroxide‐mediated silyl ether chemistry transforms post‐consumer high‐density polyethylene and polypropylene blends into robust vitrimers. Featuring highly phase‐selective crosslinking, these upcycled materials combine thermoset‐like dimensional stability at elevated temperatures with dynamic melt‐reprocessability ...
Subhaprad Ash +3 more
wiley +1 more source
Correlations among chemical and rheological aging indices/indicators of asphalt binder at high temperatures. [PDF]
Taheri A, Khodaii A, Hajikarimi P.
europepmc +1 more source
Mass Spectrometry Insights Into Post‐Translational Modifications in Extracellular Vesicles
ABSTRACT Extracellular vesicles (EVs) are membrane‐enclosed structures secreted by virtually all living cells, serving as essential mediators of intercellular communication in both physiological and pathological processes. There is growing interest in their potential applications as biomarkers, therapeutic targets, and drug delivery systems, which ...
Dávid Virág +5 more
wiley +1 more source
Exploring Asymptotic Normality in Multinomial Models
ABSTRACT Among the methods for analyzing categorical outcomes, the multinomial model offers a robust framework for examining the dependence between a multi‐category response variable and a set of explanatory variables. Its flexibility, versatility, and broad applicability across diverse fields make it a valuable tool, as it does not impose strict ...
Célia Nunes +3 more
wiley +1 more source
Fuzzy-Modulus-Based Layered Elastic Analysis of Asphalt Pavements for Enhanced Fatigue Life Prediction. [PDF]
Zbiciak A +4 more
europepmc +1 more source
Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite +16 more
wiley +1 more source

