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Wyszukujesz frazę "running performance" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Be Positive and Engage in Training: Positive Orientation and Marathon Performance
Autorzy:
Kędra, Michał
Łaguna, Mariola
Powiązania:
https://bibliotekanauki.pl/articles/31340957.pdf
Data publikacji:
2022
Wydawca:
Katolicki Uniwersytet Lubelski Jana Pawła II. Towarzystwo Naukowe KUL
Tematy:
positive orientation
running performance
training engagement
marathon
mediation analysis
Opis:
Psychological mechanisms explaining running performance have not been fully identified yet. One of the factors potentially important in running performance is positive orientation—a higher order construct capturing the core of self-esteem, life satisfaction, and optimism. The aim of the study was to investigate the role of positive orientation in explaining running performance of recreational runners. The study involved 204 recreational runners taking part in a marathon race. Before the race, they reported their positive orientation, training engagement, BMI, and previous marathon experience. Actual running performance was measured using runners’ personal bib numbers and their objective time scores obtained from the official competitors’ list after the race. Structural equation modelling results show that the higher is runners’ positive orientation, the higher is also their training engagement before the marathon, which in turn predicts their actual running performance. The study extends the understanding of a role of personality in recreational sport performance. The findings broaden also evidence concerning the role of positive orientation in effective functioning.
Źródło:
Roczniki Psychologiczne; 2022, 25, 3; 223-237
1507-7888
Pojawia się w:
Roczniki Psychologiczne
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of Live High Train High on Physiological Training Adaptations and Athletic Performance in Trained Runners: An Observational Cohort Case Study
Autorzy:
Sarkar, Surojit
Dutta, Sreejita
Chatterjee, Subhra
Tiwana, Kamlesh
Saraswat, Sanjay
Powiązania:
https://bibliotekanauki.pl/articles/48529054.pdf
Data publikacji:
2024
Wydawca:
Uniwersytet Szczeciński. Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Tematy:
Live high-train high
erythropoiesis
endurance performance
running performance
iron metabolism
lung functioning
Opis:
Introduction: Live high-train high (LHTH) is suggested to improve performance, especially maximal aerobic capacity through the hypoxic adaptation responses. The present study aims to determine the impact of LHTH protocol on cardio-respiratory variables, lactate response, iron profile indices, and lung function capacities to the performance enhancement of middle-long distance (MLD) runners. Methods: Seven MLD runners were trained LHTH for six weeks at 8000ft altitude. Cardio-respiratory variables (V̇O2max, VO2/HR, VEmax, HR response), lactate response, iron profile indices (Hb, iron, UIBC, TIBC, transferrin, EPO, ferritin), and lung function parameters (FVC, FEV1, FEV1/FVC, PEF, and VC) were measured via standard protocols. Result: Hemoglobin (Hb, 7.8%), iron concentration (36.7%), and TIBC (8.2%) were found to be significantly increased after LHTH. On the other hand, V̇O2max (6.4%) and PEF (10.7%) were found to be significantly (p < 0.05) increased after camp. But HRrest (1.8%), HRrec (5min and 10min with 2.3% and 4.7% respectively), and lactate peak (7.9%) significantly decreased after LHTH condition. Discussion: All participating athletes improved performances after LHTH (overall group improved by 1.7%, individual increase up to 2.6%). Specific training load with hypoxic stress at high altitude induces peripheral chemoreceptor activation and stimulates sympathetic drive to initiate adaptive cascade leading to V̇O2max improvement (improved group mean 6.4%, individually up to 16.7%) which might be supported by enhanced erythropoiesis, iron metabolism, Hb concentrations, peak expiratory flow, glycolytic enzyme activity, enhanced oxidative capacity, improved resting and recovery HR response and peak lactate tolerance.
Źródło:
Central European Journal of Sport Sciences and Medicine; 2024, 46; 103-115
2300-9705
2353-2807
Pojawia się w:
Central European Journal of Sport Sciences and Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An SFA-HMM performance evaluation method using state difference optimization for running gear systems in high-speed trains
Autorzy:
Cheng, Chao
Wang, Meng
Wang, Jiuhe
Shao, Junjie
Chen, Hongtian
Powiązania:
https://bibliotekanauki.pl/articles/2172116.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
slow feature analysis
SFA
performance evaluation
hidden Markov model
HMM
running gear system
analiza cech
ocena efektywności
ukryty model Markowa
układ biegowy
Opis:
The evaluation of system performance plays an increasingly important role in the reliability analysis of cyber-physical systems. Factors of external instability affect the evaluation results in complex systems. Taking the running gear in high-speed trains as an example, its complex operating environment is the most critical factor affecting the performance evaluation design. In order to optimize the evaluation while improving accuracy, this paper develops a performance evaluation method based on slow feature analysis and a hidden Markov model (SFA-HMM). The utilization of SFA can screen out the slowest features as HMM inputs, based on which a new HMM is established for performance evaluation of running gear systems. In addition to directly classical performance evaluation for running gear systems of high-speed trains, the slow feature statistic is proposed to detect the difference in the system state through test data, and then eliminate the error evaluation of the HMM in the stable state. In addition, indicator planning and status classification of the data are performed through historical information and expert knowledge. Finally, a case study of the running gear system in high-speed trains is discussed. After comparison, the result shows that the proposed method can enhance evaluation performance.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 3; 389--402
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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