Results 171 to 180 of about 13,053,297 (285)

Beyond the Badge: Do Sustainable Business Certifications Reflect Employees' Workplace Experiences? Evidence From Employee‐Reported Workplace Evaluations

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the relationship between sustainability certifications and employee satisfaction by conceptualizing certifications as external signals and internal organizational resources. Drawing on signaling theory and the resource‐based view (RBV), a purposively selected dataset of 172 certified firms and a comparison group of 20,026 ...
Malte Bau, Sumaya Islam, Michael Wunsch
wiley   +1 more source

Edge Fluid Turbulence Simulations of Stellarators With GRILLIX

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir   +4 more
wiley   +1 more source

TAMNet: Temporal and adaptive‐frequency network with MixStyle for cross‐region oil and fluid production forecasting

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang   +6 more
wiley   +1 more source

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

open access: yesDeep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang   +6 more
wiley   +1 more source

Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli   +12 more
wiley   +1 more source

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