In the trend sport CrossFit, international competition is held at the CrossFit Games, known worldwide as the definitive fitness test. Since American athletes are the best in the world regarding CrossFit, there might be influencing factors on international competition performance. Here, we characterize the benchmark performance profile of American and German CrossFit athletes (n = 162). To collect the common benchmark performance by questionnaire, 66 male and 96 female CrossFit athletes (32.6 ± 8.2 years) participated in our survey in both nations. By comparing the individual performance variables, only a significant difference in total power lift performance by males was identified between the nations ( = 0.034). No other significant differences were found in the Olympic lift, running, or the "Girl" Workout of the Day (Fran, Grace, Helen) performance. Very large to extremely large (r = 0.79-0.99, < 0.01) positive correlations were found between the power lift and Olympic lift variables. Further linear regression analysis predicted the influence of back squat performance on performance in the Olympic lifts, snatch (R = 0.76) and clean and jerk (R = 0.84). Our results suggested a dominant role of back squat performance in the assessment of physical fitness of CrossFit athletes.
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http://dx.doi.org/10.3390/sports9060080 | DOI Listing |
Brief Bioinform
November 2024
Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, 999077, China.
The complexity of T cell receptor (TCR) sequences, particularly within the complementarity-determining region 3 (CDR3), requires efficient embedding methods for applying machine learning to immunology. While various TCR CDR3 embedding strategies have been proposed, the absence of their systematic evaluations created perplexity in the community. Here, we extracted CDR3 embedding models from 19 existing methods and benchmarked these models with four curated datasets by accessing their impact on the performance of TCR downstream tasks, including TCR-epitope binding affinity prediction, epitope-specific TCR identification, TCR clustering, and visualization analysis.
View Article and Find Full Text PDFHeliyon
January 2025
Information Technology Department, Technical College of Informatics-Akre, Akre University for Applied Sciences, Kurdistan Regain, Iraq.
Deep Learning (DL) has significantly contributed to the field of medical imaging in recent years, leading to advancements in disease diagnosis and treatment. In the case of Diabetic Retinopathy (DR), DL models have shown high efficacy in tasks such as classification, segmentation, detection, and prediction. However, DL model's opacity and complexity lead to errors in decision-making, particularly in complex cases, making it necessary to estimate the model's uncertainty in predictions.
View Article and Find Full Text PDFAchieving the smallest crystallite/particle size of zinc oxide nanoparticles (ZnO NPs) reported to date, measuring 5.2/12.41 nm with () leaf extract, this study introduces a facile green synthesis.
View Article and Find Full Text PDFFront Artif Intell
January 2025
Department of Physics and Astronomy, The University of Alabama, Tuscaloosa, AL, United States.
Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation functions on the edges of the computational graph followed by summation on nodes. The learnable edge activation functions in the original implementation are basis spline functions (B-Spline).
View Article and Find Full Text PDFScand J Trauma Resusc Emerg Med
January 2025
Department of Emergency Medicine, Lausanne University Hospital and University of Lausanne, 21 Rue du Bugnon, BH 09, 1011, Lausanne, Switzerland.
Background: The Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS) grade the severity of injuries and are useful for trauma audit and benchmarking. However, AIS coding is complex and requires specifically trained staff. A simple yet reliable scoring system is needed.
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