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Background: Artificial intelligence (AI) is anticipated to play a significant role in criminal trials involving citizen jurors. Prior studies have suggested that AI is not widely preferred in ethical decision-making contexts, but little research has compared jurors' reliance on judgments by human judges versus AI in such settings.

Objectives: This study examined whether jurors are more likely to defer to judgments by human judges or AI, especially in cases involving mitigating circumstances in which human-like reasoning may be valued.

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Objectives: This study aimed to investigate the factors associated with physical fitness and disparities in population segments among older adults, using data from the National Physical Fitness Surveilling Survey of China.

Study Design: A cross-sectional study.

Methods: A total of 13524 older adults aged 60-79 years were involved in the study.

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Exploring imitation of within hand prehensile object manipulation using fMRI and graph theory analysis.

Sci Rep

January 2025

Support Centre for Advanced Neuroimaging (SCAN), Institute for Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

This study aims to establish an imitation task of multi-finger haptics in the context of regular grasping and regrasping processes during activities of daily living. A video guided the 26 healthy, right-handed volunteers through the three phases of the task: (1) fixation of a hand holding a cuboid, (2) observation of the sensori-motor manipulation, (3) imitation of that motor action. fMRI recorded the task; graph analysis of the acquisitions revealed the associated functional cerebral connectivity patterns.

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TPepRet: a deep learning model for characterizing T cell receptors-antigen binding patterns.

Bioinformatics

January 2025

School of Computer Science and engineering, Central South University, Changsha, 410083, China.

Motivation: T-cell receptors (TCRs) elicit and mediate the adaptive immune response by recognizing antigenic peptides, a process pivotal for cancer immunotherapy, vaccine design, and autoimmune disease management. Understanding the intricate binding patterns between TCRs and peptides is critical for advancing these clinical applications. While several computational tools have been developed, they neglect the directional semantics inherent in sequence data, which are essential for accurately characterizing TCR-peptide interactions.

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A novel DES-enhanced sodium alginate-based conductive organohydrogel fiber for high-performance wearable sensors.

Int J Biol Macromol

January 2025

College of Textile and Clothing Engineering, Soochow University, 199 Ren-ai Road, Suzhou 215123, China; Jiangsu Engineering Research Center of Textile Dyeing and Printing for Energy Conservation, Discharge Reduction and Cleaner Production (ERC), 215123, China; State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China. Electronic address:

Conductive organohydrogel fibers based on sodium alginate (SA) exhibit remarkable flexibility and electrical conductivity, making them ideal candidates for conformal skin adhesion and real-time monitoring of human activity signals. However, traditional conductive hydrogels often suffer from issues such as uneven distribution of conductive fillers, and achieving the integration of high mechanical strength, stretchability, and transparency using environmentally friendly methods remains a significant challenge. In this study, a novel and sustainable strategy was developed to fabricate dual-network organohydrogel fibers using sodium alginate as the primary material.

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