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  1. 1

    The use of a consumer-grade bioelectrical impedance analysis device for weight certification in collegiate wrestling: Implications for minimal wrestling weight determination

    Twohey, E., Dobbs, W. C., Malone, C. M., Fields, J. B., Jones, M. T., Jagim, A. R.
    Published in The Journal of Strength and Conditioning Research (2025)
    “…MFBIA: 14.0 ± 3.3%; p = 0.198) or computed MWW values (SKF: 69.8 ± 8.7 kg vs. MFBIA: 69.4 ± 9.7 kg; p = 0.348) between devices. …”
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  2. 2

    A comparison of deviations from balanced and negative time perspectives between elite and non-elite wrestlers

    Nazarpouri, S.
    Published in Sport Psychology Studies (2025)
    “…The ZTPI questionnaire and relevant computational formulas were employed to extract DBTP and DNTP indices. …”
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  3. 3

    Analyzing tactics in Olympic wrestling: a markov chain perspective

    Moussa, I., Drider, A., Vitel, V., Schortgen, A., Leroy, P., Sauliere, G., Goyallon, T., Fruchard, B., Vazeilles, P., Reveret, L., Toussaint, J.
    Published in 29th Annual Congress of the European College of Sport Science, 2-5 July 2024, Book of Abstracts (2024)
    “…Subsequently, a multi-state Markov model was computed to ascertain the probabilities of match progression and outcome. …”
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  4. 4

    Relative age effect in the 2022-2023 World Fencing Championships

    Bonito, F., Viães, J. R. G., Teles, J., Flores, L. A., Iglesias, X., Fragoso, M. I. C. J.
    Published in Frontiers in Sports and Active Living (2025)
    “…An athlete`s relative classification was computed using their competition classification and the total number of participants in the event. …”
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  5. 5

    Effects of the wrestling + injury prevention program in freestyle wrestlers: a two-arm randomized controlled trial

    Bayati, R., Majelan, A. S., Zarei, H.
    Published in Journal of Orthopaedic Surgery and Research (2025)
    “…A total of 80 participants were assigned to this study and using simple and random method with computer divided into experimental (EXP, n = 40) and control (CON, n = 40) groups. …”
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  6. 6

    Essentials for mutual symmetrical and asymmetrical positions of wrestlers

    Fedyaev, N. A., Makarova, E. V., Melentyev, A. N., Tsagolova, N. G.
    Published in Theory and Practice of Physical Culture (2024)
    “…To indicate and measure the reaction forces of the support of wrestlers, the computer complex «AMTI» was used, as well as two dynamometric platforms. …”
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  7. 7

    Collegiate women`s wrestling body fat percentage and minimum wrestling weight values: Time for revisiting minimal body fat percent?

    Jagim, A. R., Tinsley, G. M., Oppliger, R. A., Horswill, C. A., Dobbs, W. C., Fields, J. B., Cushard, C., Rademacher, P. D., Jones, M. T.
    Published in Journal of the International Society of Sports Nutrition (2024)
    “…Frequency statistics and descriptive analysis were performed to compute normative MWW and BF% profiles. BF% thresholds of 12% (12MWW) and the BF% value defined as the lowest 5th percentile, which would be considered unusually lean, were used to determine the resulting MWW and MWC for each method. …”
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  8. 8

    Differences in body fat percentage and minimum wrestling weight values between NCAA and NAIA women`s wrestlers

    Jagim, A. R., Tinsley, G. M., Oppliger, R. A., Horswill, C. A., Dobbs, W. C., Fields, J. B., Bloomfield, S. A., Jones, M. T.
    Published in Medicine & Science in Sports & Exercise (2025)
    “…All wrestlers completed skinfold assessments for weight certification at the start of the competition season, with values entered into the system to compute BF% using the Slaughter skinfold equation. …”
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  9. 9

    Kinematic and kinetic analysis to improve the overall fitness of wrestlers

    Zohirov, K., Berdiev, G., Boykobilov, S., Pardayeva, G., Ochilov, M.
    Published in 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS) (2024)
    Collective title: “…2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS)…”
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  10. 10

    Decision-making and motor skills in elite wrestlers

    Korobeynikov, G., Kerimov, F., Korobeinikova, L., Goncharova, O.
    Published in 10th International scientific conference on kinesiology. Book of abstracts (2024)
    “…The complex method of decision-making and the effectiveness of the motor skills of elite wrestlers were assessed. Computer equipment "Multipsychometer-05" was used. …”
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  11. 11

    Comparing lunge techniques depending on the weapon used: Differences between foil and epee fencers

    Dedieu, P., Salesse, M., Champain, G., Zanone, P.
    Published in Journal of Physical Education and Sport (2024)
    “…The kinematics of the knee, hip and shoulder and the distances between the weapon and both the knee and the shoulder were computed. The relative phase between the motion of the scapular and pelvic girdles was calculated and the temporal pattern of muscle activity was determined from the EMG recording on the leg and on the arm of the participant`s armed side and n the participant`s non-armed side. …”
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  12. 12

    A comparative study of selected strength parameters of university and national level male wrestlers and judokas

    Prasad, A., Cruz, L. D., Mohare, M., Harshe, N. G., Sankar, U. V.
    Published in International Journal of Physical Education, Sports and Health (2024)
    “…Independent t-test was computed to compare the variables. To test the hypothesis the significance level was set at 0.05 percent. …”
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  13. 13

    Individual winning consistency metrics predict match outcome and podium performance in freestyle senior world wrestling

    López-González, D. E.
    Published in International Journal of Wrestling Science (2023)
    “…Match pairings were meticulously chosen based on varying IWC values, enabling computation of the associated metric "Winning Consistency Advantage" (WCA) by subtracting the lower IWC from the higher. …”
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  14. 14

    Time-motion analysis of olympic wrestlers

    Drider, A., Vitel, V., Schortgen, A., Moussa, I., Leroy, P., Sauliere, G., Goyallon, T., Fruchard, B., Vazeilles, P., Reveret, L., Toussaint, J.
    Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)
    “…Understanding the demands of competition allows training content to be better adapted and individualised [1]. In this sense, computer is a great tool to achieve this. It allows us to collect information as faithfully as possible while being non-intrusive [2]. …”
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  15. 15

    Estimating the relationship between the symptom-free waiting period and injury rates after return-to-play from concussion: a simulation analysis using CARE consortium data

    Garcia, G.-G. P., Czerniak, L. L., Lavieri, M. S., Liebel, S. W., Van Pelt, K. L., Pasquina, P. F., McAllister, T. W., McCrea, M. A., Broglio, S. P., CARE Consortium Investigators
    Published in Sports Medicine (2023)
    “…Objective: We design computational simulations to estimate the relationship between the SFWP and rates of repeat concussion and non-concussion time-loss injury up to 30 days post-RTP for male and female collegiate athletes across 13 sports. …”
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  16. 16

    Starting and specialising ages across Olympic sports: A cross-sectional study in an international sample of elite athletes

    Descheemaeker, K., De Bosscher, V., Shibli, S.
    Published in Book of Abstracts EASM (2023)
    “…Mean sport specific starting and specialising ages were computed based on a retrospective survey of the ages in every athlete. …”
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  17. 17

    Metod vizualizacii na osnove multimedijnych sredstv v obucenii techniko-takticeskim dejstvijam junych borcov (Method of visualization based on multimedia in teaching technical and tactical actions of young wrestlers)

    Agatovich, I. R.
    Published in Scientific Impulse (2023)
    “…Training process of young wrestlers of the Greek-Roman style has to rely on wide use of multimedia technologies, computer modeling, interactive methods which use staticizes on a new round of scientific judgment a problem of visual teaching methods in modern system of training and training. …”
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  18. 18

    Multicriteria analysis of the force ratio between two judokas in delayed real-time

    Calmet, M., Sallantin, J., Monino, J.-L.
    Published in Ido Movement for Culture. Journal of Martial Arts Anthropology (2022)
    “…One of their works consisted in analyzing on a computer a delayed real-time combat (without pause, nor visual or audi- tory signal) to observe one judoka. …”
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  19. 19

    Predicting successful throwing technique in judo from factors of kumite posture based on a machine-learning approach

    Kato, S., Yamagiwa, S.
    Published in Computation (2022)
    “…Computation…”
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  20. 20

    FenceNet: fine-grained footwork recognition in fencing

    Zhu, K., Wong, A., McPhee, J.
    Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)
    “…IEEE/CVF Conference on Computer Vision and Pattern Recognition…”
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