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  1. 1

    Construction of an added physical fitness training program to enhance the basic skills in speed roller skate for young athletes

    Yuan, P., Tasnaina, N., Soachalerm, A.
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  2. 2

    Best-Practice-Trainingsmerkmale in olympischen Ausdauersportarten, beschrieben von norwegischen Weltklassetrainern (Best practice training characteristics in Olympic endurance sports, described by Norwegian world-class coaches)

    Franz, B.
    Published 2025
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  3. 3

    Functional movement test performance improves in youth ice speed skaters after 8-week FMS training

    Qu, Q, Hurr, C, Qiu, X, Zhang, J, Kim, S.
    Published in Journal of Human Sport & Exercise (2025)
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  4. 4

    Best-practice training characteristics within Olympic endurance sports as described by Norwegian world-class coaches

    Sandbakk, Ø., Tønnessen, E., Sandbakk, S. B., Losnegard, T., Seiler, S., Haugen, T.
    Published in Sports Medicine - Open (2025)
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  5. 5

    A study of the effects of vibration training at different frequencies on lower limb muscle strength in semi-elite short track speed skaters

    Qi, Q., Gao, Y.
    Published in Research Square (2024)
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  6. 6

    Influence of voluntary isocapnic hyperpnoea on recovery after high-intensity exercise in elite short-track speedskaters - randomized controlled trial

    Kowalski, T., Wilk, A., Rebis, K., Lohse, K.-M., Sadowska, D., Klusiewicz, A.
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  7. 7

    Comparative study of different respiratory muscle training methods: Effects on cardiopulmonary indices and athletic performance in elite short-track speedskaters

    Kowalski, T., Klusiewicz, A., Rebis, K., Wilk, A., Starczewski, M.
    Published in Life (2024)
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  8. 8

    Towards IMU-based analysis of speed skating performance for immediate feedback investigation of stroke time and lean angle

    Seglina, I. L.
    Published 2024
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  9. 9

    Training session models in endurance sports: a norwegian perspective on best practice recommendations

    Tonnessen, E., Sandbakk, Ø., Sandbakk, S. B., Seiler, S., Haugen, T.
    Published in Sports Medicine (2024)
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  10. 10

    Developing speed (Entwicklung der Schnelligkeit)

    I. Jeffreys, NSCA
    Published 2025
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  11. 11

    Feedback systems

    Leinen, P., Panzer, S.
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  12. 12

    Interval training has more negative effects on sleep in adolescent speed skaters: a randomized cross controlled trial

    Zhenxing, K., Wei, X., Shen, M., Cheng, Y., Feng, J.
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  13. 13

    Monitoring training load and identifying fatigue in young elite speed skaters using machine learning methods

    Bolten, M.
    Published 2024
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  14. 14

    Speed and power improvements derived from hypoxic repeated-sprint training in world-class short-track speed skaters are influenced by the anaerobic speed reserve

    Billaut, F., Deguire, S., Bieuzen, F.
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  15. 15

    Unleashing potential and optimizing adolescent roller skating performance through a structured exercise program - a randomized controlled trial

    Sehgal, S., Chahal, A., Esht, V., Alshehri, M. M., Beg, R. A., Shaphe, M. A., Alajam, R. A., Kashoo, F. Z., Alghadir, A. H., Khan, M.
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  16. 16

    Time decay in the performance benefits from repeated-sprint training in hypoxia in world-class short-track speed skaters

    Deguire, S., Billaut, F., Bieuzen, F.
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  17. 17

    Capturing the complex relationship between internal and external training load: A data-driven approach

    van der Zwaard, S., Otter, R. T. A., Kempe, M., Knobbe, A., Stoter, I. K.
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  18. 18

    Sportartübergreifende Erkenntnisse und Schlussfolgerungen aus der Olympiazyklusanalyse Wintersport 2018-2022 und der Olympischen Winterspiele Peking 2022 unter besonderer Berücksic... (Cross-sport findings and conclusions from the Olympic cycle analysis winter sports 2018-2022 and the Beijing 2022 Olympic Winter Games, with special consideration of the sports supported by the IAT)

    Wick, J., Tippelt, U.
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  19. 19

    Are they in sync? A Machine learning approach to optimize training schedules

    Kempe, M.
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  20. 20

    Construction of women`s all-around speed skating event performance prediction model and competition strategy analysis based on machine learning algorithms

    Liu, M., Chen, Y., Guo, Z., Zhou, K., Zhou, L., Liu, H., Bao, D., Zhou, J.
    Published in Frontiers in Psychology (2022)
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