Search Results - de Lira, C. A.
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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.Published in Frontiers in Sports and Active Living (2025)“…de Lira, C. A. B.…”
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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)“…Barbosa de Lira, C. A.…”
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Running economy in long-distance runners is positively affected by running experience and negatively by aging
Dos Anjos Souza, V. R., Seffrin, A., Alves da Cunha, R., Vivan, L., Barbosa de Lira, C. A., Vancini, R. L., Weiss, K., Knechtle, B., Santos Andrade, M.Published in Physiology & Behavior (2022)“…Barbosa de Lira, C. A.…”
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Influence of biological maturity on the muscular strength of young male and female swimmers
Costa, T., Murara, P., Vancini, R. L., Barbosa de Lira, C. A., Santos Andrade, M.Published in Journal of Human Kinetics (2021)“…Barbosa de Lira, C. A.…”
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Impact of training volume and experience on amateur Ironman triathlon performance
Sinisgalli, R., de Lira, C. A. B., Vancini, R. L., Puccinelli, P. J. G., Hill, L., Knechtle, B., Nikolaidis, P. T., Andrade, M. S.Published in Physiology & Behavior (2021)“…de Lira, C. A. B.…”
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Previous experience, aerobic capacity and body composition are the best predictors for Olympic distance triathlon performance: Predictors in amateur triathlon
Puccinelli, P. J., Lima, G. H., Pesquero, J. B., de Lira, C. A., Vancini, R. L., Nikolaids, P. T., Knechtle, B., Andrade, M. S.Published in Physiology & Behavior (2020)“…de Lira, C. A.…”
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Pacing strategy of a wheelchair athlete in a 5x and 10x Ironman ultra triathlon: a case study
Sousa, C. V., Nikolaidis, P. T., Santos Andrade, M., Vancini, R. L., Barbosa de Lira, C. A., Gomes Puccinelli, P. J., Knechtle, B.Published in Disability and Rehabilitation: Assistive Technology (2020)“…Barbosa de Lira, C. A.…”
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Effort and duration matched `High Intensity Interval Training` using cycle ergometry compared to leg press resistance training.
Silva, M. H., de Lira, C. A. B., Steele, J., Fisher, J., Mota, J. F., Gomes, A. C., Gentil, P.Published in SportRxiv (2019)“…de Lira, C. A. B.…”
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10
Effect of intermittent hypoxic training followed by intermittent hypoxic exposure on aerobic capacity of long distance runners
Nakamoto, F. P., Ivamoto, R. K., Andrade, M. S., de Lira, C. A. B., Silva, B. M., da Silva, A. C.Published in The Journal of Strength and Conditioning Research (2016)“…de Lira, C. A. B.…”
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O que explicaria o fantástico fenômeno de rendimento esportivo dos corredores africanos? (Which would explain the fantastic sports yield phenomenon of the African runners?)
Vancini, R. L., Bosco Pesquero, J., de Freitas Guina Fachina, R. J., Carderelli Minozzo, F., dos Santos Andrade, M., Borin, J. P., Montagner, P. C., Barbosa de Lira, C. A.Published in Brazilian Journal of Biomotricity (2013)“…Barbosa de Lira, C. A.…”
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performance
age
relation
endurance events
long distance running
prognosis
triathlon
aerobic
analysis
body
experience
genetics
interval method
junior elite sport
long-term endurance
marathon running
maximum
performance factor
sex
sport physiology
strength
swimming
training
Africa
Ethiopia
Kenya
O2
O2-uptake
adaptation
aerobic-anaerobic threshold