Search Results - Mathematics

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  1. 1

    Changes in stroke performance in 13-14 year old swimmers over an annual training cycle

    Malinovsky, M. S., Arishin, A. V., Pogrebnoy, A. I. “…The material was processed using mathematical statistics methods. Results of the study and conclusions. …”
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  2. 2

    Heart rate variability and autonomic activity in young short-track athletes at the age of 14

    Brook, T. M., Litvin, F. B. “…Further processing and study of the obtained data were carried out using mathematical statistics methods. Results and conclusions. …”
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  3. 3

    Using balancing equipment in archer training. The role of using balancing devices in the training process of archers.

    Gulich, I.
    Published in Health Technologies (2025)
    “…Theoretical analysis, data generalization, questionnaire method, and mathematical statistics Results Developed and implemented in the training process of exercises with fitness balls, balance pillows, boards, fitness trampolines, balancing platforms. …”
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  4. 4

    Toward a better understanding of coaches` information search in talent selection: A first experimental investigation on the basis of the iCodes model

    Lath, F., Koopmann, T., Schorer, J. Subjects: “…mathematics…”
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  5. 5

    A multidimensional prediction model for overtraining risk in youth soccer players: integrating physiological and psychological markers

    Qian, H., Lee, S.
    Published in Journal of Sports Sciences (2025)
    Subjects: “…mathematic-logical model…”
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  6. 6

    Reimaging talent development in sport. Seeing a different world

    A. Borie, E. Ryall
    Published 2025
    “…Talented young athletes are being recruited into programmes at ever younger ages as sports are looking to identify and attract athletes who they perceive have potential to become senior elite performers. Just the mathematics of talent development means there will always be a higher number of young athletes who are rejected by a talent pathway than ever reach the end of the pathway and become elite adult performers. …”
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  7. 7

    Talent identification: Time to move forward on estimation of potentials? Proposed explanations and promising methods

    Sedeaud, A., Difernand, A., De Larochelambert, Q., Irid, Y., Fouillot, C., Pinczon du Sel, N., Toussaint, J.-F.
    Published in Sports Medicine (2025)
    “…The proposed terminology of "estimation of potential" is based on a semantic and mathematical definition, which operationalizes its conceptualization. …”
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  8. 8

    Competitive game technology at the stage of sports specialization of freestyle wrestlers in the Sakha Republic

    Ponomarev V. V., Efimov A. A., Bartnovskaya L. A., Kravchenko V. M. Subjects: “…mathematical statistics…”
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  9. 9

    Improvement of speed abilities of young tennis players

    Mavropulo O. S., Agafonov S. V., Trufanova S. N., Chub S. A. “…The analysis of literary sources, pedagogical observation, pedagogical testing, pedagogical experiment, methods of mathematical statistics are carried out. The direct participants of the pedagogical experiment were 20 young tennis players aged 9-10 years from the groups of primary training at the sports school (PT 3), 10 of whom were included in the experimental group and 10 players in the control group. …”
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  10. 10

    The significance of U23 competitions in wrestling career

    Latyshev, M., Holovach, I., Polianychko, O., Tropin, Y., Shtanagei, D., Lakhtadyr, O.
    Published in Studia Sportiva (2024)
    “…The following research methods have been used in the paper: the analysis of the scientific and methodological literature, the analysis of the official results, and methods of mathematical statistics. We have studied the sports careers of participants in the 2017, 2018, and 2019 World Championships in freestyle, Greco-Roman, and women's wrestling. …”
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  11. 11

    Foot health: new approaches to prevention in young athletes

    Lutkov, V. F., Smirnov, G. I., Shadrin, D. I., Miller, L. L. “…Plantography methods, Romberg test, and mathematical statistics method (Microsoft Office Excel and Stats Graphics) were used. …”
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  12. 12

    Early specialization in formative basketball: A machine learning analysis of shooting patterns in U14 and professional players

    Contreras-García, J. M., Courel-Ibáñez, J., Piñar-López, M. I., Ibáñez, S. J.
    Published in Journal of Sports Sciences (2024)
    Subjects: “…mathematic-logical model…”
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  13. 13

    Prediction of talent selection in elite male youth soccer across 7 seasons: A machine-learning approach

    Altmann, S., Ruf, L., Thiem, S., Beckmann, T., Wohak, O., Romeike, C., Härtel, S.
    Published in Journal of Sports Sciences (2024)
    Subjects: “…mathematic-logical model…”
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  14. 14

    "There is more that unites us than divides us". Optimizing talent transfer processes by clustering 34 sports by their task, individual and environmental similarities

    Teunissen, J. W., De Bock, J., Schasfoort, D., Slembrouck, M., Verstockt, S., Lenoir, M., Pion, J. Subjects: “…mathematic-logical model…”
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  15. 15

    Classification of recovery states in U15, U17, and U19 sub-elite football players: a machine learning approach

    Teixeira, J. E., Encarnação, S., Branquinho, L., Ferraz, R., Portella, D. L., Monteiro, D., Morgans, R., Barbosa, T. M., Monteiro, A. M., Forte, P.
    Published in Frontiers in Psychology (2024)
    Subjects: “…mathematic-logical model…”
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  16. 16

    School-age talent identification in female handball by a mathematical model: Equation proposed from anthropometry, maturity offset, fitness, and technical field-tests

    Caporal, G., Gaya, A. C. A., Pedretti, A., Mello, J. B. Subjects: “…mathematic-logical model…”
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  17. 17

    Psychological well-being of sport gifted adolescents in an educational environment

    Laktionova, E. B., Orlova, A. V., Kondakova, I. V., Gretsov, A. G. “…Methods and structure of the study. 26 athletically gifted teenagers with achievements in the sports field, studying in general education (14 people) and specialized schools of physics, mathematics and natural sciences (12 people) took part in the scientific work. …”
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  18. 18

    Features of the stroke in the process of integrating physical and technical training of crawler swimmers at the stage of improving sportsmanship

    Arishin A. V., Pogrebnoy A. I. “…The work used methods of computer video analysis of swimmer movements, analysis of intra-cycle swimming speed, dynamic parameters of swimming technique, testing, and mathematical statistics. Results and conclusions. Significant differences were revealed in 24 out of 30 parameters of stroke movements in athletes from the EG and CG, indicating pronounced positive changes in the stroke in athletes from the EG. …”
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  19. 19

    Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis

    Ab Rasid, A. M., Muazu Musa, R., Abdul Majeed, A. P., Musawi Maliki, A. B. H., Abdullah, M. R., Mohd Razmaan, M. A., Abu Osman, N. A.
    Published in PLOS ONE (2024)
    Subjects: “…mathematic-logical model…”
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  20. 20

    Pupillometry: Detection of variations in autonomic nervous system activity in high level young athlete

    Giovannangeli, C., Borrani, F., Broussouloux, O., Candau, R. “…It`s based on a strength equilibrium mathematical model whose fitting with real data is almost perfect. …”
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