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  1. 1

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
    “…technical and natural sciences…”
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  2. 2

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
    “…technical and natural sciences…”
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  3. 3

    Development of prototypes in sport: A systematic review

    Gomes da Silva, J. C., Silva, K. F., Batista, C. E. C. F., Patrício, G. T., Batista, G. R.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…technical and natural sciences…”
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  4. 4

    Investigating the influence of head kinematics on head injury metrics and factors to consider for football helmet design

    Chatham, L. S., Young, T. S., Wojcik, R. M., Bell, L. A., Torbati, A. H., Carpenter, R. D., Jenkins, P. E., Poddar, S. K., Yakacki, C. M.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…technical and natural sciences…”
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  5. 5

    Head impacts in non-helmeted sports: Measuring and locating the impact force

    Sohail, J., Teixeira-Dias, F., Merriman, S.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…technical and natural sciences…”
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  6. 6

    Parametric design methods development for the comparison of American football faceguards using validated structural stiffness models

    Ferriell, W. D., Wright, N. P., DesJardins, J. D., Batt, G. S.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…technical and natural sciences…”
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  7. 7

    The training and development process for a world-class female handball player: a longitudinal and retrospective case study

    Haugen, T., Bucher Sandbakk, S., Sandbakk, Ø., Tønnessen, E.
    Published in Frontiers in Sports and Active Living (2025)
    “…Key athlete characteristics included a multidimensional sports talent, discipline, dedication, a development-oriented mindset, a strong ability to handle setbacks, and an empathetic nature. Environmental success factors encompassed a sport-enthusiastic family, high-quality training environments, and access to domain-specific expertise. …”
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  8. 8

    Machine learning techniques for estimating the individual three-dimensional ground reaction forces during rugby scrummaging

    Pomarat, Z., Passieux, J.-C., Dufour, J.-E., Watier, B.
    Published in Journal of Biomechanics (2025)
    “…technical and natural sciences…”
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  9. 9

    Comparison of anthropometric and performance characteristics in elite male football and handball players

    Karadenizli, Z. I., Ilbak, I., Bartik, P.
    Published in Journal of Human Sport & Exercise (2026)
    “…Elite-level athletes develop distinct performance profiles shaped by training regimens tailored to the specific physical and physiological demands of their respective sports. The nature of the sport, training methods, and game dynamics directly influence the development of strength, power, speed, and anthropometric characteristics. …”
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  10. 10

    Comparison of shoulder kinematics and kinetics during running throws with whip-like and circular wind up in elite handball players

    Van den Tillaar, R.
    Published in ISBS Proceedings Archive: Vol. 43: Iss. 1 (2025)
    “…technical and natural sciences…”
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  11. 11

    Smart technologies and the future of concussion prevention in ice hockey

    Gråstén, A.
    Published in Frontiers in Sports and Active Living (2025)
    “…technical and natural sciences…”
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  12. 12

    Azure Kinect for joint range of motion analysis: A validity and reliability evaluation in elite female weightlifters

    Örücü, S., Erdagi, K., Isik, B., Özbay, E., Osmanoglu, U. Ö.
    Published in PLOS ONE (2025)
    “…technical and natural sciences…”
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  13. 13

    Global positioning system-derived metrics and machine learning models for injury prediction in professional rugby union players

    Ren, X., Boisbluche, S., Philippe, K., Demy, M., Äyrämö, S., Rautiainen, I., Ding, S., Prioux, J.
    Published in European Journal of Sport Science (2025)
    “…technical and natural sciences…”
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  14. 14

    Menstrual cycle symptoms, but not oestrogen or progesterone concentrations, are associated with sleep in female athletes

    Pearson, M. A., Weakley, J. J. S., McKay, A. K. A., Russell, S., Leota, J., Johnston, R. D., Minahan, C., Harris, R., Burke, L. M., Halson, S. L.
    Published in European Journal of Sport Science (2025)
    “…During the camp, oestradiol and progesterone concentrations were analysed at three timepoints according to naturally cycling and hormonal contraception groups. …”
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  15. 15

    Concussion risk and the need for prevention: an exploration into the complexity of community perspectives in rugby union

    Badenhorst, M., Romanchuk, J., Salmon, D., Brown, J. C., Hendricks, S., Walters, S.
    Published in Sports Medicine (2025)
    “…A second theme, `focus on technique and conditioning, or is injury just the nature of the game?`, described beliefs in the importance of technique and conditioning or contrary beliefs such as `as long as there is contact, there will be concussion`. …”
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  16. 16

    Is the classification of athletes based on force-velocity profiling from countermovement jumps influenced by the choice of method?

    Paulsen, G., Lindberg, K., Eriksrud, O., Solberg, P., Bjørnsen, T., Seynnes, O., Gløersen-Haga, Ø., Bobbert, M., Rice, H.
    Published in Medicine & Science in Sports & Exercise (2025)
    “…technical and natural sciences…”
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  17. 17

    Position-specific workload and performance analysis in professional rugby union: insights from global positioning system data and principal component analysis

    Ren, X., Boisbluche, S., Philippe, K., Demy, M., Hu, Z., Ding, S., Prioux, J.
    Published in PLOS ONE (2025)
    “…technical and natural sciences…”
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  18. 18

    Instrumented mouthguards in men's rugby league: quantifying the incidence and probability of head acceleration events at a group and individual level

    Tooby, J., Owen, C., Sawczuk, T., Roe, G., Till, K., Phillips, G., Vishnubala, D., White, R., Rowson, S., Tucker, R., Tierney, G., Jones, B.
    Published in Sports Medicine (2025)
    “…technical and natural sciences…”
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  19. 19

    Clinical utility of the Sport Concussion Office Assessment Tool 6 (SCOAT6) and other select multidomain assessments for subacute sport-related concussion

    Kontos, A. P., Zynda, A. J., Trbovich, A. M., French, J., Kegel, N., Burley, C., Patel, S., Mucha, A., Womble, M. N., Jennings, S., Dollar, C. M., Elbin, R. J., Collins, M. W.
    Published in Sports Medicine (2025)
    “…technical and natural sciences…”
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  20. 20

    Assessment of an eye-tracking tool to discriminate between concussed and not concussed professional male rugby players: a cohort study

    Brown, J., Fuller, G. W., McDonald, W., Rasmussen, K., Sawczuk, T., Gilthorpe, M., Jones, B., Falvey, É. C.
    Published in The Physician and Sportsmedicine (2025)
    “…technical and natural sciences…”
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