Results 181 to 190 of about 72,738 (281)

Speaking About Artificial Intelligence for Sustainability—How Employees’ Perception of Credibility Shapes Their Initial Attitudes Toward AI Adoption

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Companies increasingly claim to adopt artificial intelligence (AI) not only for economic but also for ecological and social purposes. However, in light of rising greenwashing, bluewashing, and ethics washing, the impact of the communicated rationale on employees' initial attitude toward AI introduction remains unclear.
Marco Baumgartner   +3 more
wiley   +1 more source

Crystallization of Cathode Active Material Precursors from Tartaric Acid Solution

open access: yesChemSusChem, Volume 18, Issue 6, March 15, 2025.
This work investigates a novel approach for closing the gap between recycling and production of lithium‐ion battery cathode material. The new concept is based on antisolvent crystallization of metal carboxylates, which can be directly used as precursors in production of cathode material.
Chunyan Ma   +5 more
wiley   +1 more source

Effect of Magnetic Islands on Neoclassical Heat Diffusivity in a Global Tokamak Simulation

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Resonant magnetic perturbations (RMPs) alter magnetic field topology via island formation and can modify core transport in toroidal fusion devices. Using the global gyrokinetic particle‐in‐cell code XGC‐S, originally developed for stellarator geometries, we quantify how island topology affects neoclassical heat transport in a circular tokamak ...
Joseph X. Li   +5 more
wiley   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
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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