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  1. 1

    The use of a consumer-grade bioelectrical impedance analysis device for weight certification in collegiate wrestling: Implications for minimal wrestling weight determination

    Twohey, E., Dobbs, W. C., Malone, C. M., Fields, J. B., Jones, M. T., Jagim, A. R.
    Published in The Journal of Strength and Conditioning Research (2025)
    “…MFBIA: 14.0 ± 3.3%; p = 0.198) or computed MWW values (SKF: 69.8 ± 8.7 kg vs. MFBIA: 69.4 ± 9.7 kg; p = 0.348) between devices. …”
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  2. 2

    Eating disorders risk assessment and body esteem among elite polish contact karate athletes

    Dobkowska-Szefer, D., Staskiewicz-Bartecka, W., Kiciak, A., Kardas, M.
    Published in Frontiers in Nutrition (2025)
    “…Data were collected using a computer-assisted web interview (CAWI) and validated tools: the Eating Attitudes Test (EAT-26), the Düsseldorf Orthorexia Scale (DOS-PL), and the Body Esteem Scale (BES). …”
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  3. 3

    A comparison of deviations from balanced and negative time perspectives between elite and non-elite wrestlers

    Nazarpouri, S.
    Published in Sport Psychology Studies (2025)
    “…The ZTPI questionnaire and relevant computational formulas were employed to extract DBTP and DNTP indices. …”
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  4. 4

    Real-time hand tracking and collision detection for immersive mixed-reality boxing training on Apple Vision Pro

    Karelin, A., Brazhenko, D., Kliukovkin, G., Chernenko, Y.
    Published in Sensors (2025)
    “…Leveraging the device`s advanced spatial computing capabilities, this research addresses the limitations of traditional fitness applications that lack precision for technique-based sports like boxing with visual-only hand tracking. …”
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  5. 5

    Combined effects of major rule changes impact injury profile in elite taekwondo athletes: an analysis of 2663 athletes from the 2017, 2019 and 2022 World Taekwondo Championships

    Jeong, H., Jeong, D. H., Yoon, S., Kim, S. J., Lee, S. Y.
    Published in BMJ Open Sport & Exercise Medicine (2025)
    “…Injury incidence proportion was computed and calculated both per 1000 athlete exposures and per 1000 minutes of exposure. …”
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  6. 6

    Analyzing tactics in Olympic wrestling: a markov chain perspective

    Moussa, I., Drider, A., Vitel, V., Schortgen, A., Leroy, P., Sauliere, G., Goyallon, T., Fruchard, B., Vazeilles, P., Reveret, L., Toussaint, J.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…Subsequently, a multi-state Markov model was computed to ascertain the probabilities of match progression and outcome. …”
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  7. 7

    Multi-person physics-based pose estimation for combat sports

    Feizollah Zadeh Khoiee, H., Labbe, D., Romeas, T., Faubert, J., Andrews, S.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
    Collective title: “…Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops…”
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  8. 8

    Transferring between sports: the case of Icelandic youth sport

    Donoghue, P. O., Maute, M. M., Jóhannsson, K. V., Þorgeirsson, S., Kristjánsdóttir, H., Saavedra, J. M., Oddsson, H. R
    Published in International Journal of Computer Science in Sport (2025)
    “…International Journal of Computer Science in Sport…”
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  9. 9

    Relative age effect in the 2022-2023 World Fencing Championships

    Bonito, F., Viães, J. R. G., Teles, J., Flores, L. A., Iglesias, X., Fragoso, M. I. C. J.
    Published in Frontiers in Sports and Active Living (2025)
    “…An athlete`s relative classification was computed using their competition classification and the total number of participants in the event. …”
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  10. 10

    Applications of AI in martial arts: A survey

    Pang, Y., Wang, Y., Wang, Q., Li, F., Zhang, C., Ding, C.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…Artificial intelligence (AI) has become an interdisciplinary subject that integrates digital image processing, machine learning, and computer science, etc. A lot of work in martial arts benefits from AI technology. …”
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  11. 11

    Effects of the wrestling + injury prevention program in freestyle wrestlers: a two-arm randomized controlled trial

    Bayati, R., Majelan, A. S., Zarei, H.
    Published in Journal of Orthopaedic Surgery and Research (2025)
    “…A total of 80 participants were assigned to this study and using simple and random method with computer divided into experimental (EXP, n = 40) and control (CON, n = 40) groups. …”
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  12. 12

    Development of complex exercise function test for Taekwondo Kyorugi athletes and establishment of criteria

    Jeon, M., Park, J. H., Yoon, J., Yun, H. J.
    Published in International Journal of Sports Science & Coaching (2025)
    “…To assess the content validity of the complex motor function test, the content validity ratio was computed for data processing. Additionally, validity based on the measured data was verified using an independent sample t-test, a well-known method for comparing different groups. …”
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  13. 13

    Essentials for mutual symmetrical and asymmetrical positions of wrestlers

    Fedyaev, N. A., Makarova, E. V., Melentyev, A. N., Tsagolova, N. G.
    Published in Theory and Practice of Physical Culture (2024)
    “…To indicate and measure the reaction forces of the support of wrestlers, the computer complex «AMTI» was used, as well as two dynamometric platforms. …”
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  14. 14

    Assessment of the reliability and validity of simple and complex reaction speed tests in mixed martial arts athletes using the BlazePod system

    Polechonski, J., Pilch, J., Langer, A., Pronczuk, M., Markowski, J., Maszczyk, A.
    Published in Baltic Journal of Health and Physical Activity (2025)
    “…The evaluation of reaction speed utilized the BlazePodTM system and classic computer tests. The time from the activation of a light stimulus to the hand striking a glowing target in front of the participants was assessed. …”
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  15. 15

    Collegiate women`s wrestling body fat percentage and minimum wrestling weight values: Time for revisiting minimal body fat percent?

    Jagim, A. R., Tinsley, G. M., Oppliger, R. A., Horswill, C. A., Dobbs, W. C., Fields, J. B., Cushard, C., Rademacher, P. D., Jones, M. T.
    Published in Journal of the International Society of Sports Nutrition (2024)
    “…Frequency statistics and descriptive analysis were performed to compute normative MWW and BF% profiles. BF% thresholds of 12% (12MWW) and the BF% value defined as the lowest 5th percentile, which would be considered unusually lean, were used to determine the resulting MWW and MWC for each method. …”
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  16. 16

    Differences in body fat percentage and minimum wrestling weight values between NCAA and NAIA women`s wrestlers

    Jagim, A. R., Tinsley, G. M., Oppliger, R. A., Horswill, C. A., Dobbs, W. C., Fields, J. B., Bloomfield, S. A., Jones, M. T.
    Published in Medicine & Science in Sports & Exercise (2025)
    “…All wrestlers completed skinfold assessments for weight certification at the start of the competition season, with values entered into the system to compute BF% using the Slaughter skinfold equation. …”
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  17. 17

    Biomechanical disparities in pankration: a comparative computational analysis of ancient and contemporary techniques

    Bourantanis, A. G., Nomikos, N. N., Nikolaidis, P. T., Yiannakopoulos, C. K., Aggelousis, N. G., Wang, W. W.
    Published in Biomedical Human Kinetics (2025)
    “…The methodology involved collecting and analyzing depictions of archaeological artifacts, examining video performances frame by frame, and applying computational analysis to determine the Cartesian two-dimensional coordinates of joints. …”
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  18. 18

    Kinematic and kinetic analysis to improve the overall fitness of wrestlers

    Zohirov, K., Berdiev, G., Boykobilov, S., Pardayeva, G., Ochilov, M.
    Published in 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS) (2024)
    Collective title: “…2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS)…”
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  19. 19

    Decision-making and motor skills in elite wrestlers

    Korobeynikov, G., Kerimov, F., Korobeinikova, L., Goncharova, O.
    Published in 10th International scientific conference on kinesiology. Book of abstracts (2024)
    “…The complex method of decision-making and the effectiveness of the motor skills of elite wrestlers were assessed. Computer equipment "Multipsychometer-05" was used. …”
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  20. 20

    Developing a high-performance sports results prediction artificial neural network: case study on world championship boxing

    Thisani, S. K.
    Published in International Journal of Computer Science in Sport (2024)
    “…International Journal of Computer Science in Sport…”
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