Results 231 to 240 of about 189,851 (348)

Factorial validity and internal consistency of the motivational climate in physical education scale. [PDF]

open access: green, 2014
Markus Soini   +4 more
openalex  

Health and Safety at Work in the Transport Industry (TRANS-12): Factorial Structure, Reliability and Validity

open access: diamond, 2018
Jordi Assens-Serra   +5 more
openalex   +2 more sources

Chronic, Environmentally Relevant PM2.5 Exposure Exacerbates Metabolic Dysfunction‐Associated Steatotic Liver Disease and Early‐Stage Renal Dysfunction in a Rodent Model

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT While epidemiological studies link fine particulate matter (PM2.5) exposure to metabolic dysfunction‐associated steatotic liver disease (MASLD) and renal dysfunction, a translational gap exists, as most animal models utilize acute, high‐dose exposures that poorly reflect chronic, moderate‐level human scenarios.
Yi‐Siao Chen   +11 more
wiley   +1 more source

The 9-item Bergen Burnout Inventory: Factorial Validity Across Organizations and Measurements of Longitudinal Data

open access: bronze, 2013
Taru Feldt   +6 more
openalex   +2 more sources

Optimising Human–AI Decision Performance: A Trust and Capability Framework for Knowledge Management

open access: yesKnowledge and Process Management, EarlyView.
ABSTRACT Organisations struggle to optimise human–AI collaboration in knowledge‐intensive decision‐making. This paper proposes the Trust–Complementarity Model of Collective Intelligence (TCM‐CI), explaining how calibrated trust and complementary capability utilisation drive superior organisational performance.
Eduardo Carlos Dittmar, Martin Sposato
wiley   +1 more source

Factorial validity of a substance-use stigma scale in methamphetamine-using adults in China. [PDF]

open access: yesDrug Alcohol Depend, 2020
Chen S   +6 more
europepmc   +1 more source

Application of Machine Learning in Heat Treatment Process Design of Carburized Steel

open access: yesMaterials Genome Engineering Advances, EarlyView.
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang   +5 more
wiley   +1 more source

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