Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World Validity [PDF]
Hongjun An +5 more
openalex
Factorial validity and internal consistency of the motivational climate in physical education scale. [PDF]
Markus Soini +4 more
openalex
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
Re-evaluation of the factorial validity of the Revised Competitive State Anxiety Inventory-2 [PDF]
Peter C. Terry +2 more
openalex
Optimising Human–AI Decision Performance: A Trust and Capability Framework for Knowledge Management
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]
Chen S +6 more
europepmc +1 more source
Factorial Validity and Invariance of a Survey Measuring Psychosocial Correlates of Colorectal Cancer Screening among African Americans and Caucasians [PDF]
Jasmin A. Tiro +3 more
openalex +1 more source
Application of Machine Learning in Heat Treatment Process Design of Carburized Steel
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

