Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022086 | PMC |
http://dx.doi.org/10.1016/j.aprim.2009.06.010 | DOI Listing |
J Strength Cond Res
December 2024
Department of Health, Exercise Science, and Recreation Management, Kevser Ermin Applied Physiology Laboratory, The University of Mississippi, University, Mississippi; and.
Hammert, WB, Dankel, SJ, Kataoka, R, Yamada, Y, Kassiano, W, Song, JS, and Loenneke, JP. Methodological considerations when studying resistance-trained populations: Ideas for using control groups. J Strength Cond Res 38(12): 2164-2171, 2024-The applicability of training effects from experimental research depends on the ability to quantify the degree of measurement error accurately over time, which can be accounted for by including a time-matched nonexercise control group.
View Article and Find Full Text PDFJ Vector Borne Dis
October 2024
Department of Biological Sciences, King AbdulAziz University, Jeddah, Makkah, Saudi Arabia.
Background Objectives: In malaria infection, quantifying blood parasitemia is a critical step for evaluating the severity of the disease. This has generally been conducted manually, and thus, its accuracy depends on the expertise of technicians. There is an urgent need for an automated technique to overcome manual errors.
View Article and Find Full Text PDFEur J Pediatr
January 2025
Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, 100191, China.
Unlabelled: This study aimed to synthesize evidence from primary studies on the acceptability and effectiveness of mindfulness-based interventions (MBIs) for improving lifestyle behaviors and body mass index (BMI) in children with overweight or obesity. We conducted a meta-analysis or followed the Synthesis Without Meta-analysis (SWiM) guidelines to synthesize study findings. The analysis included both mindfulness-only interventions and comprehensive behavioral interventions incorporating mindfulness components.
View Article and Find Full Text PDFSurg Endosc
January 2025
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Objectives: This study aimed to develop an automated skills assessment tool for surgical trainees using deep learning.
Background: Optimal surgical performance in robot-assisted surgery (RAS) is essential for ensuring good surgical outcomes. This requires effective training of new surgeons, which currently relies on supervision and skill assessment by experienced surgeons.
NPJ Digit Med
January 2025
AIM for Health Lab, Faculty of Information Technology, Monash University, Melbourne, VIC, Australia.
Traditional disease classification models often disregard the clinical significance of misclassifications and lack interpretability. To overcome these challenges, we propose a hierarchical prototypical decision tree (HPDT) for skin lesion classification. HPDT combines prototypical networks and decision trees, leveraging a class hierarchy to guide interpretable predictions from general to specific categories.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!