This study determined the relationship between high school athletes' maximal strength, jumping, and sprinting with shot put performance. High school athletes ( = 9; 16.9 ± 1 years; 110.4 ± 10.8 kg; 183.73 ± 9.33 cm) performed the broad jump, 1RM squat, 1RM bench, 40-yard dash with 10-yd split, and shot put. Strong positive correlations between shot put performance and broad jump ( = 0.89), 1RM squat ( = 0.90), and 1RM bench press ( = 0.87), and a strong negative correlation between shot put performance and 40-yd dash ( = -0.86) were observed. No significant correlation was found between shot put performance and 10-yd split times. Results indicate that shot put performance is associated with strength, jumping, and sprinting. It is valuable for coaches to understand relationships between physical fitness measurements, such as strength, power, and speed/acceleration, with shot put performance to predict competition performance, make training adjustments, and develop young throwers appropriately.
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http://dx.doi.org/10.70252/LGRI2993 | DOI Listing |
Eur J Sport Sci
February 2025
School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Australia.
End-range movements are among the most demanding but least understood in the sport of tennis. Using male Hawk-Eye data from match-play during the 2021-2023 Australian Open tournaments, we evaluated the speed, deceleration, acceleration, and shot quality characteristics of these types of movement in men's Grand Slam tennis. Lateral end-range movements that incorporated a change of direction (CoD) were identified for analysis using k-means (end-range) and random forest (CoD) machine learning models.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany.
Background Large-scale secondary use of clinical databases requires automated tools for retrospective extraction of structured content from free-text radiology reports. Purpose To share data and insights on the application of privacy-preserving open-weights large language models (LLMs) for reporting content extraction with comparison to standard rule-based systems and the closed-weights LLMs from OpenAI. Materials and Methods In this retrospective exploratory study conducted between May 2024 and September 2024, zero-shot prompting of 17 open-weights LLMs was preformed.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
The fuel system serves as the core component of marine diesel engines, and timely and effective fault diagnosis is the prerequisite for the safe navigation of ships. To address the challenge of current data-driven fault-diagnosis-based methods, which have difficulty in feature extraction and low accuracy under small samples, this paper proposes a fault diagnosis method based on digital twin (DT), Siamese Vision Transformer (SViT), and K-Nearest Neighbor (KNN). Firstly, a diesel engine DT model is constructed by integrating the mathematical, mechanism, and three-dimensional physical models of the Medium-speed diesel engines of 6L21/31 Marine, completing the mapping from physical entity to virtual entity.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Faculty of Medicine and Surgery, "Kore" University of Enna, 94100 Enna, Italy.
: Firearm wounds tend to have a precise pattern. Despite this, real-world case presentations can present uncertain elements, sometimes deviating from what is considered standard, and present uncommon features that are difficult for forensic pathologists and ballistic experts to explain. : A retrospective analysis of autopsy reports from the Institute of Legal Medicine, University of Catania, covering 2019-2023, included 348 judicial inspections and 378 autopsies performed as part of the institute's overall activities.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK.
The chicken is the world's most farmed animal. In this work, we introduce the Chicks4FreeID dataset, the first publicly available dataset focused on the reidentification of individual chickens. We begin by providing a comprehensive overview of the existing animal reidentification datasets.
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