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  1. 1

    Pacing and stroke mechanics in 400m freestyle: A hierarchical generalized additive model across performance levels

    Bideau, N., Bouvet, A.
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  2. 2

    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.
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  3. 3

    Modelling of performance prediction by analysis of elite swimmers` anthropometry, peak performance age and age-related performance progression

    Nazari Mehrabi, A., Imani, H., Khademnoe, O., Khantan, M., Lundberg, T. R., Gorzi, A.
    Published in PLOS ONE (2025)
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  4. 4

    An integer programming approach for relay design in masters swimming

    De Arca, F., Marenco, J.
    Published in Journal of Sports Analytics (2025)
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  5. 5

    W' reconstitution modelling during intermittent exercise performed to task failure

    Welburn, A. J., Pugh, C. F., Bailey, S. J., Ferguson, R. A.
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  6. 6

    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.
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  7. 7

    The structural relationship between achievement goal orientation and perceived performance among swimmers: a chain multiple mediation model

    Zhu, Y., Zhang, W., Liu, H., Song, H.
    Published in Frontiers in Psychology (2025)
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  8. 8

    A novel model for bicycle drivetrain efficiency

    Dowd, T., Cavanaugh, P., Mansson, J.-A.
    Published in Sports Engineering (2025)
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  9. 9

    Modeling lactate threshold in cycling - influence of sex, maximal oxygen uptake, and cost of cycling in young athletes

    Fischer, J., Hävecker, F., Ji, S., Wahl, P., Keller, S.
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  10. 10

    The influence of the environment on the calculation of drag area in cycling: Contrasting results between indoor and outdoor field tests

    Ordiñana-Pérez, M., Zabala, M., Blasco-Lafarga, C.
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  11. 11

    What it takes to win: examining predicted versus actual swimming performances at the Paris 2024 Olympic Games, and what comes next

    Powell, C, Pyne, D, Crowley, E, Mujika, I.
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  12. 12

    A method for personalizing the training regimen for elite female athletes in modern pentathlon over an annual training cycle

    Sevdalev S. V., Borovaya V. A., Vrublevskiy E.
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  13. 13

    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)
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  14. 14

    Enhancing endurance performance predictions: the role of movement velocity in metabolic simulations demonstrated by cycling cadence

    Dunst, A. K., Hesse, C., Ueberschär, O.
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  15. 15

    Ten-year evolution of world swimming trends for different performance clusters: a gaussian model

    Veiga, S., Grenouillat, A., Rodríguez-Adalia, L., Zarzosa-Alonso, F., Pla, R.
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  16. 16

    Interpreting the projected frontal area in front crawl: determining the projected frontal area of each body segment

    Washino, S., Murai, A., Kadi, T., Narita, K., Mankyu, H., Yoshitake, Y.
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  17. 17

    Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose-response model

    Busso, T., Chalencon, S.
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  18. 18

    A novel approach of modelling and predicting track cycling sprint performance

    Dunst, A. K., Grüneberger, R.
    Published in Applied Sciences (2021)
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  19. 19

    Modeling optimal cadence as a function of time during maximal sprint exercises can improve performance by elite track cyclists

    Dunst, A. K., Grüneberger, R., Holmberg, H.-C.
    Published in Applied Sciences (2021)
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  20. 20

    Quantification of the development trend of results during the career of Croatian sprinters in the 50m freestyle concerning the best European swimmers: Initial age-performance model

    Šiljeg, K., Dopsaj, M.
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