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  1. 1

    The large volume and three-dimensional shape of the flexor hallucis longus muscle in sprinters and distance runners

    Peter, A., Hegyi, A., Kóbor, I., Gyebnár, G., Kovács, B.
    Published in ISBS Proceedings Archive: Vol. 43: Iss. 1 (2025)
    “…modelling…”
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  2. 2

    Using multilevel models to compare performance prediction and characterization abilities between power-law and critical-speed models in middle- and long-distance running

    Walt, M., Casado, A., Le Goff, J.-M.
    Published in International Journal of Sports Physiology and Performance (2025)
    “…modelling…”
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  3. 3

    Evaluation of a custom trained human pose estimation model for kinematic analysis of pole vault performance

    Baker, J., Balloch, A., Peeling, P., Reid, M., Hall, A., Bayne, H.
    Published in Journal of Sports Sciences (2025)
    “…modelling…”
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  4. 4

    Quantifying metabolic energy contributions in sprint running: a novel bioenergetic model

    Briand, J., di Prampero, P. E., Osgnach, C., Thibault, G., Tremblay, J.
    Published in European Journal of Applied Physiology (2025)
    “…modelling…”
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  5. 5

    Aerodynamic challenges in running: Understanding headwind and tailwind effects

    Beaumont, F., Polidori, G.
    Published in International Journal of Sports Science & Coaching (2025)
    “…modelling…”
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  6. 6

    Characteristics of the technical action model for athletes specializing in race walking within the long-term development system

    Sovenko, S., Vynohradov, V., Edeliev, O., Popov, S.
    Published in Journal of Physical Education and Sport (2025)
    “…modelling…”
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  7. 7

    Estimating sagittal knee and ankle moment during running using only inertial measurement units: a top-down inverse dynamics approach

    van Middelaar, R. P., van Rijswijk, N. T., Wouda, F. J., Veltink, P. H., Reenalda, J.
    Published in Sports Biomechanics (2025)
    “…modelling…”
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  8. 8

    Are very high rates of exogenous carbohydrate ingestion (>90 g/hr) sufficient or indeed necessary to run a sub-2hr marathon? An analysis of the model predictions of Lukasiewicz and...

    Noakes, T. D., Prins, P. J.
    Published in Frontiers in Nutrition (2025)
    “…modelling…”
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  9. 9

    A new index for intensity regulation in intermittent sprint training

    Shiraki, S., Kigoshi, K.
    Published in Japan Journal of Physical Education, Health and Sport Sciences (2025)
    “…modelling…”
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  10. 10

    Investigation of a theoretical model for the rotational shot put technique

    Kato, T., Maeda, K., Mizushima, J., Maeda, A.
    Published in Journal of Applied Biomechanics (2024)
    “…modelling…”
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  11. 11

    An empirical model for world record running speeds with distance, age, and sex: anaerobic and aerobic contributions to performance

    Roy, T. K., Joyner, M. J., Senefeld, J. W., Wiggins, C. C., Secomb, T. W.
    Published in Journal of Applied Physiology (2024)
    “…modelling…”
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  12. 12

    Athletic performance decline over the life span: Cross-sectional and longitudinal analyses of elite and masters track-and-field data

    Pfeifer, B., Nelson, W. B., Hyldahl, R. D.
    Published in International Journal of Sports Physiology and Performance (2024)
    “…modelling…”
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  13. 13

    Does high-intensity running to fatigue influence lower limb injury risk?

    Rice, H., Starbuck, C., Willer, J., Allen, S., Bramahm, C., Jones, R., Herrington, L., Folland, J.
    Published in Journal of Science and Medicine in Sport (2024)
    “…modelling…”
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  14. 14

    Opensim full-body model for athletes with a running-specific below the knee prosthesis

    Krämer, L., Zedler, M., Heinrich, K., Potthast, W., Funken, J.
    Published in ISBS Proceedings Archive: Vol. 42: Iss. 1 (2024)
    “…modelling…”
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  15. 15

    Analysis of the 72-h ultramarathon using a predictive XG Boost model

    Knechtle, B., Villiger, E., Weiss, K., Valero, D., Gajda, R., Scheer, V., Barbosa de Lira, C. A., Braschler, L., Nikolaidis, P. T., Vancini, R. L., Cuk, I., Rosemann, T., Thuany, M.
    Published in Sport Sciences for Health (2024)
    “…modelling…”
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  16. 16

    Energy flow in men`s javelin throw and its relationship to joint load and performance

    Köhler, H.-P., Witt, M.
    Published in PeerJ (2023)
    “…modelling…”
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  17. 17

    Advancing 100m sprint performance prediction: A machine learning approach to velocity curve modeling and performance correlation

    Tam, C. K., Yao , Z.-F.
    Published in PLOS ONE (2024)
    “…modelling…”
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  18. 18

    Implementation of an individually differentiated approach in training runners

    Segal, I. V., Deryabina, M. A., Kiryakova, O. S., Nevyantseva, Y. S.
    Published in Theory and Practice of Physical Culture (2024)
    “…modelling…”
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  19. 19

    Management of preparation of highly qualified decathleters based on the development of a competitive activity model

    Tsyplenkova, E. S., Ogandganov, A. L., Salamatov, M. B.
    Published in Theory and Practice of Physical Culture (2023)
    “…modelling…”
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  20. 20

    Modelling the optimization of world-class 400 m and 1,500 m running performances using high-resolution data

    Le Hyaric, A., Aftalion, A., Hanley, B.
    Published in Frontiers in Sports and Active Living (2024)
    “…modelling…”
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