Search Results - Valero, D.

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  1. 1

    An analysis of the 6-h ultra-marathon race using a machine learning approach

    Thuany, M., Weiss, K., Valero, D., Villiger, E., Andrade, M. S., Nikolaidis, P. T., Scheer, V., de Lira, C. A. B., Vancini, R. L., Cuk, I., Braschler, L., Rosemann, T., Knechtle, B. “…Valero, D.…”
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  2. 2

    Identifying anxiety and sleep problems, associated factors and sex differences in endurance and ultra-endurance runners

    Scheer, V., Valero, D., Valero, E., Weiss, K., Rosemann, T., Knechtle, B.
    Published in Frontiers in Psychology (2025)
    “…Valero, D.…”
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  3. 3

    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)
    “…Valero, D.…”
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  4. 4

    Where are the world's fastest Ironman® 70.3 race courses for professional athletes?

    Thuany, M., Valero, D., Villiger, E., Andrade, M., Weiss, K., Nikolaidis, P., Cuk, I., Knechtle, B.
    Published in Journal of Science and Cycling (2023)
    “…Valero, D.…”
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  5. 5

    The impact of the COVID-19 pandemic on endurance and ultra-endurance running

    Scheer, V., Valero, D., Villiger, E., Rosemann, T., Knechtle, B.
    Published in Medicina (2021)
    “…Valero, D.…”
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