Herein, we analyse by experimental techniques the human kicking thrust and measure the effect of a warm-up routine that includes post-activation potentiation (PAP) sets on front-crawl flutter kick thrust, kinematics, and performance. Sixteen male competitive swimmers with 22.13 ± 3.84 years of age were randomly assigned in a crossover manner to undergo a standard warm-up (non-PAP; control condition) and a warm-up that included PAP sets (PAP; experimental condition) consisting in 2 × 5 repetitions of unloaded countermovement jump. Participants performed a 25 m all-out trial in front-crawl with only flutter kicks eight min after each warm-up. Kinetics (i.e., peak thrust, mean thrust, and thrust-time integral) and kinematics (i.e., speed, speed fluctuation and kicking frequency) were experimentally collected by an in-house customized system composed of differential pressure sensors, speedo-meter, and underwater camera. Peak thrust ( = 0.02, = 0.66) and mean thrust ( = 0.10, = 0.40) were increased by 15% in PAP compared to non-PAP. Large and significant differences were noted in speed ( = 0.01, d = 0.54) and speed fluctuation ( = 0.02, d = 0.58), which improved by 10% in PAP compared with non-PAP. In conclusion, a warm-up that includes PAP sets improves kicking thrust, kinematics and performance.
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http://dx.doi.org/10.1016/j.jare.2019.10.001 | DOI Listing |
J Hum Kinet
October 2024
Graduate School of Sport and Exercise Sciences, Osaka University of Health and Sport Sciences, Sennan, Osaka, Japan.
The effects of jump exercises as a conditioning activity (CA) on the rate of force development (RFD) measured during the isometric midthigh pull (IMTP) have not been investigated. Therefore, we aimed to investigate the effect of the CA comprising three sets of five countermovement jumps on the RFD measured during the IMTP, and furthermore to investigate whether post-activity potentiation (PAP) would be involved in this mechanism. Thirteen healthy male university students (age: 19.
View Article and Find Full Text PDFEur J Med Res
November 2024
Hays Documentation Specialists, LLC, 225 Virginia Avenue, 2B, San Mateo, CA, 94402, USA.
Background: Cytopathological examination serves as a tool for diagnosing solid tumors and hematologic malignancies. Artificial intelligence (AI)-assisted methods have been widely discussed in the literature for increasing sensitivity, specificity and accuracy in the diagnosis of cytopathological clinical samples. Many of these tools are also used in clinical practice.
View Article and Find Full Text PDFJ Perianesth Nurs
October 2024
Duke University School of Nursing, Durham, NC; Geriatric Research, Education, and Clinical Center, Durham Veterans Administration Health Care System, Durham, NC.
Purpose: The purpose of this quality improvement (QI) project was to establish and evaluate a process to improve use of positive airway pressure (PAP) therapy on the day of surgery, postoperative day 0 (POD 0), for Veterans using home PAP therapy for obstructive sleep apnea (OSA) admitted to the hospital after surgery.
Design: QI project using a preimplementation and postimplementation design.
Methods: The QI project occurred from June 2023 through November 2023.
Sci Rep
October 2024
School of Strength and Conditioning Training, Beijing Sport University, Beijing, China.
The study aimed to optimise post-activation potentiation (PAP) strategies for Rider 1 in elite team sprints to improve performance over 250 m (opening lap), with a focus on female cyclists. Eight national-level track cyclists participated in this study, undergoing four sets of activation strategies: control (CON), dynamic high inertia (DYN, 4 × 4 pedal strokes), isometric contraction (ISO, 4 × 4 s, 4 angles), and back squat activation (BSQ, 4 × 4 rep, 80%1RM). The tests were divided into pre-activation and post-activation phases, including measurements at 4 min, 8 min, and 12 min after activation.
View Article and Find Full Text PDFSensors (Basel)
June 2024
Department of Information Engineering, Engineering University of PAP, Xi'an 710086, China.
Currently, complex scene classification strategies are limited to high-definition image scene sets, and low-quality scene sets are overlooked. Although a few studies have focused on artificially noisy images or specific image sets, none have involved actual low-resolution scene images. Therefore, designing classification models around practicality is of paramount importance.
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