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Psychoneurological Links Contributing to Body Mass Index and Eating Disorder Severity.
Nutrients
January 2025
Department of Psychobiology and Methodology, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.
Background-objectives: Multiple dynamic interacting factors contribute to the presence and progression of eating disorders (ED). Empirical research has provided mixed findings regarding the mechanisms explaining the contribution of body mass index (BMI) to the diverse ED endophenotypes. The present study aims to evaluate the underlying processes (direct and indirect effects) contributing to BMI and ED severity, considering the contribution of multiple neuropsychological constructs.
View Article and Find Full Text PDFAn Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models.
Sensors (Basel)
January 2025
School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. Given the dynamic, multi-source, and heterogeneous characteristics of data in typical mining scenarios, traditional manual assessment methods are limited in their information processing capacity and cost-effectiveness. This study addresses these challenges by proposing an embodied intelligent system for mine safety assessment based on multi-level large language models (LLMs) for multi-source sensor data.
View Article and Find Full Text PDFAmygdala Nuclei Atrophy in Cognitive Impairment and Dementia: Insights from High-Resolution Magnetic Resonance Imaging.
Medicina (Kaunas)
January 2025
Institute of Public Health, Riga Stradins University, LV-1007 Riga, Latvia.
Cognitive impairment affects memory, reasoning, and problem-solving, with early detection being critical for effective management. The amygdala, a key structure in emotional processing and memory, may play a pivotal role in detecting cognitive decline. This study examines differences in amygdala nuclei volumes in patients with varying levels of cognitive performance to evaluate its potential as a biomarker.
View Article and Find Full Text PDFReasonings on multiple strategies in differential systems: Comment on "Parrondo's paradox reveals counterintuitive wins in biology and decision making in society" by T. Wen & K.H. Cheong.
Phys Life Rev
January 2025
Cadi Ayyad University, Faculty of Sciences Semlalia, LMDP-UMMISCO, Morocco. Electronic address:
Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features.
Digit Health
January 2025
School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Objective: Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. This challenge is especially pronounced in healthcare because of stringent ethical considerations and resource constraints.
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