Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
While numerous researchers claim that the minimization of prediction error (PE) is a general force underlying most brain functions, others argue instead that PE minimization drives low-level, ...
Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...
In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...
Medindia on MSN
Breakfast Timing Trick That Could Add Years to Your Life
Delaying breakfast in older adults is linked to increased risk of physical and mental illness, multimorbidity, and higher ...
PsyPost on MSN
Personality traits predict students’ use of generative AI in higher education, study finds
Students who are curious, organized, and outgoing may be more likely to incorporate generative artificial intelligence tools ...
Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...
1 Department of Sport Science, University of Innsbruck, Innsbruck, Austria 2 Department of Psychology, University of Innsbruck, Innsbruck, Austria Correspondence to Larissa Ledochowski, PhD, ...
Importance Little research has been done on post-COVID symptoms at 24 months postinfection and on the association these may ...
This is a preview. Log in through your library . Abstract 4 different procedures are commonly employed with sample data to reduce a set of predictor variables. In the present study these procedures ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results