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  1. 1

    Aerodynamic challenges in running: Understanding headwind and tailwind effects

    Beaumont, F., Polidori, G.
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  2. 2

    Relationship between maximal jumping height in pole vault and the approach-run velocity evaluated by digitising method or laser method

    Kobayashi, F., Noro, A., Hatakeyama, S., Shinohara, Y., Otsuka, M.
    Published in Sports Biomechanics (2025)
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  3. 3

    The analysis of gait patterns using a color camera and computer vision

    Batysheva, T. T., Tikhonov, S. V., Alekseeva, M. V., Peganskiy, D. A.
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  4. 4

    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)
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  5. 5

    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)
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  6. 6

    Characteristic of elite male 800-m runner`s race performance based on hybrid computing methods

    Chen, C., Ma, J., Song, J., He, S., Tan, M.
    Published in Applied Bionics and Biomechanics (2023)
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  7. 7

    A simple equation to estimate half-marathon race time from the Cooper test

    Alvero-Cruz, J. R., Standley, R. A., Giráldez-Garcia, M. A., Carnero, E. A.
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  8. 8

    Parametric modeling of sports prostheses based on the flat spring design formulas

    Hase, K., Togawa, H., Kobayashi, S., Obinata, G.
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  9. 9

    Allometric scaling of body mass in running economy data: An important consideration in modeling marathon performance

    Lundstrom, C. J., Biltz, G. R., Snyder, E. M., Ingraham , S. J.
    Published in Journal of Human Sport & Exercise (2017)
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  10. 10

    Sprint performance and mechanical outputs computed with an iPhone app: Comparison with existing reference methods

    Romero-Franco, N., Jimenez-Reyes, P., Castano-Zambudio, A., Capelo-Ramirez, F., Rodriguez-Juan, J. J., Gonzalez-Hernandez, J., Toscano-Bendala, F. J., Cuadrado-Penafiel, V., Balsalobre-Fernandez, C.
    Published in European Journal of Sport Science (2017)
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  11. 11

    Effect of performance level on the prediction of middle-distance-running performances using a nomogram

    Tabben, M., Bosquet, L., Coquart, J. B.
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  12. 12

    An objective and individualised method of predicting performances in running events

    Watt, R.
    Published in New Studies in Athletics (2013)
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  13. 13

    An evaluation of the accuracy of the American College of Sports Medicine metabolic equation for estimating the oxygen cost of running

    Ruiz, A., Sherman, N. W.
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