Search Results - Korea

Ganchar, I., Ganchar, O., Ciorba, C., Medynskyi, S., Protsenko, A., Tsybulska, V., Kyriienko, O., Sukhanova, H., Potop, V. “…Purpose of the study: to assess the level of achievements and swimming skills development among swimmers who won medals in pool and open-water (marathon) swimming events at the xxxiii olympic games 2024, paris, france. material. a summarized overview of the official competition protocols for 19 event categories at the xxxiii olympic games 2024 in paris, france, was conducted. it included both male and female athletes (87 men and 87 women, totaling 174 participants). results. the leading countries in olympic swimming at the xxxiii olympic games paris 2024 were represented by 19 national teams: usa - 28 medals (10 men + 18 women), australia - 19 (7 + 12), china - 12 (5 + 7), canada - 8 (3 + 5), france - 7 (6 + 1), italy - 6 (5 + 1), hungary - 5 (5 + 0), great britain - 5 (5 + 0), germany - 3 (2 + 1), ireland - 3 (2 + 1), netherlands - 3 (1 + 2), sweden - 2 (0 + 2), south africa - 2 (0 + 2), romania - 2 (1 + 1), hong kong - 2 (0 + 2), greece - 1 (1 + 0), japan - 1 (1 + 0), south korea - 1 (1 + 0) and switzerland - 1 (1 + 0). the age characteristics of the medal-winning swimmers were analyzed in detail. no significant differences in age between men and women were observed in seven events. the greatest age differences were noted in nine events, where men were older by 5-6 years. conversely, in four events women were older than men by 3-6 years. the overall average age was 24.73 ± 2.38 years for men and 24.00 ± 1.78 years for women (t = 0.403, p > 0.05), indicating no statistically significant age difference between genders. regarding swimming speed, the smallest gender difference was recorded in the 10,000 m marathon event (0.11 m/s), followed by freestyle (0.12 m/s), medley (0.155 m/s), relay (0.15 m/s), breaststroke (0.16 m/s), backstroke (0.16 m/s) and butterfly (0.185 m/s). the largest difference was noticed in freestyle events, reaching 0.203 m/s. the overall average difference in swimming speed between male and female medalists was 0.16 m/s (men: 1.83 ± 0.15 m/s; women: 1.67 ± 0.14 m/s; t = 7.63, p < 0.05), which was statistically significant. the greatest gender speed disparity was observed in the 50 m sprint (0.25 m/s), followed by 100 m events (0.19 m/s), 200 m events (0.154 m/s), relay swimming (0.15 m/s), stayer events (0.128 m/s) and marathon swimming (0.11 m/s). these findings indicate a consistent trend: the shorter the distance, the greater the speed difference between genders. conclusion. the results of the xxxiii olympic games paris 2024 in pool swimming and marathon swimming events show the dominance of top nations like the usa, australia and china, with both male and female athletes performing at similarly high levels. although men outperformed women by an average of 0.16 m/s, particularly in sprint events, the gap narrows over longer distances, reflecting progress in training and competitive equity. …”

Ganchar, I., Ganchar, O., Ciorba, C., Medynskyi, S., Protsenko, A., Tsybulska, V., Kyriienko, O., Sukhanova, H., Potop, V. “…Countries in the second tier of rankings included Sweden (4 medals), South Korea (3), Portugal (2+1), Spain (2+1), Hong Kong (3), Hungary (1+2), Poland (3), Ireland (2), Lithuania (2), Japan (2) and Austria (2). …”

Kim, D.-H., Yoon, S.-H. “…Korea…”

Aikin, V. A., Kuksina, A. A., Korichko, A. V. “…The analysis of arbitrary solo programs of athletes from different countries in the finals of the World Championships in Gwangju, the Republic of Korea, representatives of the countries of Russia, Spain and Japan was carried out in order to identify the constitutional features of athletes when compiling solo programs in synchro-nized swimming.Results and conclusions. …”

Koo, R. K., Kang, H., Park, S. W., Kim, T. “…Korea…”

Rossiter, A., Comyns, T. M., Powell, C., Nevill, A. M., Warrington, G. D. “…This study holistically examined the effects of long-haul transmeridian travel (LHTT) on physiological, perceptual, sleep and performance markers in nine international level swimmers preparing for the 2019 FINA World Long Course Championships in Gwangju, South Korea. Baseline (BL) measurements were taken over two days during the week before a long-haul eastward flight across eight time-zones. …”

Ko, B. S., Cho, S. H., Noh, D. Y., Kim, J. G. “…Korea…”

Veiga, S., Santos del Cerro, J., Rodriguez, L., Trinidad, A., González-Ravé, J. M. “…The primary goal of the present research was to determine the order of swimmers on a mixed relay team that would ensure the best performance in the Fédération Internationale de Natation (FINA) World Championships held in Kazan (Russia, 2015), Budapest (Hungary, 2017), and Gwangju (South Korea, 2019). The data were obtained from database websites for the 4 × 100 m freestyle and 4 × 100 m medley official results,1 including 660 records from 188 entries of finals and 472 preliminary events. …”

Sung, B.-J., Lee, K.-K. “…Korea…”

Boussana, A., Galy, O., Le Gallais, D., Hue, O. “…Korea…”

Park, J. H., Kim, J. E., Yoo, J. I., Kim, Y. P., Kim, E. H., Seo, T. B. “…Korea…”

Park, J.-H., Seo, T.-B. Subjects: “…South Korea…”

Kim, H. C., Park, K. J. Subjects: “…South Korea…”

J. Vilas-Boas, P. Pezarat-Correia, J. Cabri “…Dabnichki ; DOI:10.5220/0007949301170122 The Relationship between Body Composition and Physical Activity in Patients with Crohn`s Disease; P. 123 - 125; Maurizio Marra , Olivia Di Vincenzo , Iolanda Cioffi , Rosa Sammarco , Luca Scalfi and Fabrizio Pasanisi; DOI:10.5220/0007967001230125 Coach`s Actions Quality Perception by Powerlifters-Veterans in "Coach-athlete" Dyad; P. 126 - 131; Galiya Ldokova , Kadriya Volkova and Zinaida Kuznetsova ; DOI:10.5220/0008053901260131 Peculiarities of Adaptation to Training Loads in Paralympian Cross-country Skiers with Visual Impairment versus Able-bodied Athletes based on Analysis of Heart Rate Variability Data ; P. 132 - 137 ; Alexander Bolotin and Vladislav Bakayev; DOI:10.5220/0008065601320137 A Real-time Vital Data Collection System for a Group of Persons during a Variety of Sporting Activities in a Large Outdoor Ground; P. 138 - 145 ; Shinsuke Hara , Takunori Shimazaki , Takuma Hamagami , Yasutaka Kawamoto , Hiroyuki Yomo , Ryusuke Miyamoto , Hiroyuki Okuhata and Fumie Ono ; DOI:10.5220/0008066401380145 Swimmers` Training Process Control Taking into Consideration Typology of Bioenergetics; P. 146 - 152; Nataliya Moshkina , Ildus Gibadullin and Zinaida Kuznetsova ; DOI:10.5220/0008073001460152 Duration of the Hemodynamic Effects of 6 Weeks Repeated Moderate Aerobic Exercise after Its Cessation; P. 153 - 156 ; Midori Tanaka , Motoaki Sugawara , Yasuo Ogasawara , Tadafumi Izumi , Kiyomi Niki and Fumihiko Kajiya ; DOI:10.5220/0008073501530156 Body Composition and Physical Fitness in Elite Water Polo Athletes; P. 157 - 160; Olivia Di Vincenzo , Maurizio Marra , Ada Di Gregorio , Annarita Caldara , Antonino De Lorenzo and Luca Scalfi ; DOI:10.5220/0008161401570160 Modeling and Analyzing Sports Networks Revealed through K-12 Physical Education Systems: Case Studies of Korea, Japan, and the USA; P. 161 - 166 ; Yong-wook Kim and Jinyoung Han ; DOI:10.5220/0008163201610166 Methods of Increasing Statokinetic Stability in Racers using Normobaric Hypoxia and Neck Muscle Training; P. 167 - 172 ; Alexander Bolotin , Vladislav Bakayev and Leonid Buynov ; DOI:10.5220/0008198001670172 PoloTrac: A Water Polo Tracking and Advanced Statistics Application; P. 173 - 180 ; Nathan Verlin , Joey Gullikson , John Mayberry and Daniel Cliburn ; DOI:10.5220/0008344601730180 The Need for Data-driven Bike Fitting: Data Study of Subjective Expert Fitting ; P. 181 - 189 ; Jarich Braeckevelt , Jelle De Bock , Joke Schuermans , Steven Verstockt , Erik Witvrouw and Jeroen Dierckx ; DOI:10.5220/0008344701810189 Investigating the Perceived Effectiveness of Digital Technology for Elite Athlete Support in Golf; P. 190 - 197 ; Aimée Mears , Ieuan Phillips and Josh Sumner ; DOI:10.5220/0008347501900197 Investigating Relationship between Running Motions and Skills Acquired from Jump Trainings ; P. 198 - 203 ; Chanjin Seo , Masato Sabanai , Hiroyuki Ogata and Jun Ohya ; DOI:10.5220/0008348301980203 Using 3D Motion Capture to Analyse Ice Hockey Shooting Technique on Ice ; P. 204 - 208 ; Mikael Swarén , Quirin Söhnlein , Thomas Stöggl and Glenn Björklund ; DOI:10.5220/0008351602040208 The Use of IMU-based Human Motion Capture to Assess Kinematic Parameters of Specific Exercises Performed by 400 M Hurdlers; P. 209 - 216 ; Janusz Iskra , Michal Pietrzak and Krzysztof Przednowek ; DOI:10.5220/0008363602090216 Comparison of Machine Learning Algorithms for Somatotype Classification ; P. 217 - 223 ; Darko Katovic and Miljenko Cvjetko ; DOI:10.5220/0008368002170223 Assessment of Shoulder Girdle Elevation Motion using Daid Smart Shirt: A Reliability and Validity Study ; P. 229 - 235; Guna Semjonova , Janis Vetra , Aleksandrs Okss , Aleksejs Katashevs and Vinita Cauce ; DOI:10.5220/0008064802290235 Data-driven Basketball Web Application for Support in Making Decisions ; P. 239 - 244 ; Tomislav Horvat , Ladislav Havaš , Dunja Srpak and Vladimir Medved ; DOI:10.5220/0008388102390244 Validity of a Structure Sensor-based Anthropometric Measurement: Performing a Pilot Study ; P. 245 - 250 ; Darko Katovic , Marjeta Mišigoj-Durakovic and Anita Bušic ; DOI:10.5220/0008506902450250 Relations among Motor Abilities and Skills in Handball ; P. 251 - 256 ; Igor Gruic ; DOI:10.5220/0008548402510256…”

Aranson, M. V., Ozolin, E. S., Shustin, B. N. Subjects: “…South Korea…”

Ryu, J.-S., Yoon, S.-H., Park, S.-K. “…Korea…”

Lee, G.-H., Kim, J.-J., Kang, S.-S., Hong, A.-R., So, J.-M. “…Korea…”

Ryu, J.-S. “…Korea…”

Lee, M., Lee, H., Park, S. “…Korea…”

Ryu, J.-S. “…Korea…”