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  1. 1

    Individual load-velocity measures are associated with 2,000-m rowing ergometer performance in German national rowers

    Jacobs, M. W., Schumann, M.
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  2. 2

    Comparisons between different methods of calculating dynamic strength index: effect on training recommendations

    Ripley, N. J., Fahey, J., Guppy, S., Comfort, P.
    Published in PLOS ONE (2025)
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  3. 3

    Potential use of the medicine ball throw test to reveal the upper-body maximal capacities to produce force, velocity, and power

    Marovic, I., Janicijevic, D., Kneževic, O. M., Garcia-Ramos, A., Prebeg, G., Mirkov, D. M.
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  4. 4

    Measuring critical force in sport climbers: a validation study of the 4 min all-out test on finger flexors

    Baláš, J., Gajdošík, J., Javorský, T., Berta, P., Feldmann, A.
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  5. 5

    Exploring the dynamics of hamstring strength in volleyball: A positional perspective through a cross-sectional lens

    Soylu, Ç., Altundag, E.
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  6. 6

    Zusammenhang von biologischer Reife, Körperkonstitution und körperlicher Fitness und der Leistung auf dem Ruderergometer bei Elite-Nachwuchsruderinnen (Association between biological maturity, body constitution and physical fitness with performance on a rowing ergometer in elite youth female rowers)

    Thiele, D., Prieske, O., Gäbler, M., Granacher, U.
    Published in Sportverletzung Sportschaden (2023)
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  7. 7

    The relationship between specific game-based and general performance in young adult elite male team handball players

    Wagner, H., Hinz, M.
    Published in Applied Sciences (2023)
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  8. 8

    Maximal strength measurement: A critical evaluation of common methods - a narrative review

    Warneke, K., Wagner, C. M., Keiner, M., Hillebrecht, M., Schiemann, S., Behm, D. G., Wallot, S., Wirth, K.
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  9. 9

    A quadriceps femoris motor pattern for efficient cycling

    Hering, G. O., Bertschinger, R., Stepan, J.
    Published in PLOS ONE (2023)
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  10. 10

    Simulative Bestimmung von Gelenkleistungen - Erschließung von Leistungsreserven im Gewichtheben (Simulative determination of joint performance - development of performance reserves in weightlifting)

    Hofmann, N., Ebitsch, O., Hermsdorf, H., Sandau, I., Schleichardt, A.
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  11. 11

    Pilot study: optical tracking of barbell kinematics for low-cost strength training performance monitoring

    Achermann, B., Oberhofer, K., Gross, M., Lorenzetti, S.
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  12. 12

    Entwicklung einer wissenschaftlich fundierten Leistungsdiagnostik im Sportklettern (Development of a scientifically based performance diagnostics in sport climbing)

    Augste, C., Winkler, M., Künzell, S.
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  13. 13

    Krafttraining im Nachwuchsleistungssport (KINGS-Studie) (Strength training in junior competitive sports (KINGS study))

    Granacher, U., Arampatzis, A., Kellmann, M., Wolfarth, B., Duda, G., Gabriel, H., Werner, H., Puta, C.
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  14. 14

    Validation of the repetitions in reserve rating scale in Paralympic powerlifting athletes

    Neto, F. R., Dorneles, J. R., Aidar, F. J., Gonçalves, C. W., Veloso, J., Costa, R. R. G.
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  15. 15

    Use of machine-learning and load-velocity profiling to estimate 1-repetition maximums for two variations of the bench-press exercise

    Balsalobre-Fernández, C., Kipp, K.
    Published in Sports (2021)
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  16. 16

    Longitudinal strength development of elite adolescent Rugby Union players by playing position

    Casserly, N., Grainger, A., Ditroilo, M., Neville, R. D.
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  17. 17

    Weightlifting

    Chavda, S., Everett, G.
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  18. 18

    Prediction of competition performance via selected strength-power tests in junior weightlifters

    Ince, I., Ulupinar, S.
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  19. 19

    Validität und Reliabilität der Rumpfkraft-Diagnostik-Systeme IsoMed2000 Backmodul und Schnell m3 Diagnos+ (Validity and reliability of the IsoMed2000 core force diagnostic systems IsoMed2000 baking module and Schnell m3 Diagnos+)

    Markus, H., Kösters, A., Müller, E.
    Published in Sportverletzung Sportschaden (2009)
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  20. 20

    The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

    Chau, V., Vo, A., Le, B.
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