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Methodological Considerations When Studying Resistance-Trained Populations: Ideas for Using Control Groups.
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 PDFThe Contribution of Muscular Fatigue and Shoulder Biomechanics to Shoulder Injury Incidence During the Bench Press Exercise: A Narrative Review.
J Strength Cond Res
December 2024
School of Kinesiology, University of Michigan, Ann Arbor, Michigan.
Motlagh, JG and Lipps, DB. The contribution of muscular fatigue and shoulder biomechanics to shoulder injury incidence during the bench press exercise: A narrative review. J Strength Cond Res 38(12): 2147-2163, 2024-Participation in competitive powerlifting has rapidly grown over the past two decades.
View Article and Find Full Text PDFPlanned Surgical Trajectory Affects Clinical Motor Outcome in Deep Brain Stimulation Targeted at Subthalamic Nucleus for Parkinson's Disease.
Oper Neurosurg (Hagerstown)
September 2024
Department of Neurology, Washington University in St Louis, St Louis, Missouri, USA.
Background And Objectives: Surgical planning is critical to achieve optimal outcome in deep brain stimulation (DBS). The relationship between clinical outcomes and DBS electrode position relative to subthalamic nucleus (STN) is well investigated, but the role of surgical trajectory remains unclear. We sought to determine whether preoperatively planned DBS lead trajectory relates to adequate motor outcome in STN-DBS for Parkinson's disease (PD).
View Article and Find Full Text PDFUtilizing convolutional neural network (CNN) for orchard irrigation decision-making.
Environ Monit Assess
January 2025
Department of Environmental Management, Graduate School of Agriculture, Kindai University, Nara, Japan.
Efficient agricultural management often relies on farmers' experiential knowledge and demands considerable labor, particularly in regions with challenging terrains. To reduce these burdens, the adoption of smart technologies has garnered increasing attention. This study proposes a convolutional neural network (CNN)-based model as a decision-support tool for smart irrigation in orchard systems, focusing on persimmon cultivation in mountainous regions.
View Article and Find Full Text PDFOptimizing automated photo identification for population assessments.
Conserv Biol
January 2025
Marine Mammal Research Program, Hawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Kāne'ohe, Hawai'i, USA.
Several legal acts mandate that management agencies regularly assess biological populations. For species with distinct markings, these assessments can be conducted noninvasively via capture-recapture and photographic identification (photo-ID), which involves processing considerable quantities of photographic data. To ease this burden, agencies increasingly rely on automated identification (ID) algorithms.
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