A review of 16 studies examining on-field performances of rugby union players was conducted. Based on this review, we discuss a number of methodological and measurement concerns, and provide practical implications for practitioners who develop training programs for rugby players. Among the main findings that emerged from our review were (a) rugby is an intermittent sport in nature with many tempo changes, ranging from high-intensity sprints and static exertion to jogging, standing, and walking, and (b) differences in on-field performance among players playing different positions are common, and are especially apparent among forwards, who are involved in more static high-intensity efforts, and backs, who spend more time in high-intensity running. Among the methodological concerns in these studies are the lack of a standardized method of coding movement categories and the lack of data about the opposing team. We suggest that practitioners design training programs, which reflect the specific needs of players playing different positions, and that they use up-to-date technology to accurately assess players' on-field efforts.
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http://dx.doi.org/10.1519/JSC.0000000000001129 | DOI Listing |
Front Sports Act Living
January 2025
Sports Science Research Studies, Rey Juan Carlos University, Fuenlabrada, Madrid, Spain.
Introduction: The aim of this study was to evaluate the effect of an Athletic Performance Program (APP), implemented as a complement to the usual training routines of a professional football team, on match performance variables in professional football players. The APP was designed to target mobility, stability, strength, multidirectional and sprint skills, which are critical for performance during competitive matches.
Methods: A prospective quasi-experimental study was conducted over three consecutive seasons.
Rev Sci Instrum
January 2025
State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China.
Long-Time Coherent Integration (LTCI) utilizes digital integration to combine multiple coherent cycles, thereby improving the signal-to-noise ratio (SNR). Our previous work introduced single-bit LTCI, an approach optimized for FPGA implementation, but faced challenges of output saturation at high SNR levels and inherent limitations in SNR gain (SNRG), which are insufficient for certain applications. This paper presents a threshold tracking method that improves the performance of single-bit LTCI in high-SNR scenarios.
View Article and Find Full Text PDFMedicina (Kaunas)
December 2024
Sports Science Research Studies, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain.
There is limited information on the quantification of external load and reconditioning programs during adductor longus injuries in soccer. This case report describes a male professional soccer player () returning to performance following an adductor longus muscle injury during the 2022/2023 season. The player suffered the injury during a change of direction in a match.
View Article and Find Full Text PDFGenes (Basel)
December 2024
Joe C. Wen School of Population & Public Health, University of California at Irvine, Irvine, CA 92697, USA.
Background: The swift expansion of the invasive malaria vector throughout Africa presents a major challenge to malaria control initiatives. Unlike the native African vectors, thrives in urban settings and has developed resistance to multiple classes of insecticides, including pyrethroids, organophosphates, and carbamates.
Methods: Insecticide susceptibility tests were performed on field-collected mosquitoes from Awash Sebac Kilo, Ethiopia, to assess insecticide resistance levels.
Sci Rep
January 2025
Civil and Environmental Engineering Department, King Fahd University of Petroleum and Minerals, 31261, Dhahran, Saudi Arabia.
Pollution monitoring in surface water using field observational procedure is a challenging matter as it is time consuming, and needs a lot of efforts. This study addresses the challenge of efficiently monitoring and predicting water pollution using a GIS-based artificial neural network (ANN) to detect heavy metal (HM) pollution in surface water and effect of wastewater required discharge on the Euphrates River in Al-Diwaniyah City, Iraq. The study established using 40 water sampling stations and incorporates Inductively Coupled Plasma Atomic Emission Spectrometry (ICP-OES) to assess HM levels.
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