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http://dx.doi.org/10.25122/jml-2023-1027 | DOI Listing |
PLoS One
December 2024
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning Province, China.
The iterative shrinkage-thresholding algorithm (ISTA) is a classic optimization algorithm for solving ill-posed linear inverse problems. Recently, this algorithm has continued to improve, and the iterative weighted shrinkage-thresholding algorithm (IWSTA) is one of the improved versions with a more evident advantage over the ISTA. It processes features with different weights, making different features have different contributions.
View Article and Find Full Text PDFContemp Nurse
December 2024
Department of Rehabilitation Science, Clinic for Rehabilitation Muenster, Groeben 700, Muenster 6232, Austria.
Background: The number of patients with neurological disorders and severe disability is increasing globally. These patients often need help with positioning and the amount of support varies with their level of impairment. High rates of work-related musculoskeletal disorders are observed among healthcare professionals (HCP) with patient contact due to injuries during manual handling.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Nursing, College of Medicine and Health Science, Woldia University, Woldia, Ethiopia.
Introduction: An unintended pregnancy refers to a situation where a pregnancy occurs either when there is no desire for a child (unwanted) or when it takes place at a time that was not anticipated (mistimed). Pregnant women infected with HIV face a two to tenfold increased risk of mortality during both pregnancy and the postpartum period compared to those who are not infected. A national level cohort study has identified that about 70 babies born HIV positive, 60% of them were from unplanned pregnancy.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.
Sports (Basel)
December 2024
Department of Physical Education and Sports, Faculty of Education and Sport Sciences, University of Granada, Melilla Campus, ES-52071 Melilla, Spain.
Background: The evolution of women's football over the past three decades has been remarkable in terms of development, visibility, and acceptance, transforming into a discipline with growing popularity and professionalization. Significant advancements in gender equality and global visibility have occurred, and the combination of emerging talent, increasing commercial interest, and institutional support will continue to drive the growth and consolidation of women's football worldwide.
Methods: The purpose of this study was to present a bibliometric analysis of articles on the evolution of women's football in terms of scientific production as well as its causes and motivations over the past 30 years (1992-2024).
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