While Washington’s breakup with Anthropic exposed the complete lack of any coherent rules governing artificial intelligence, a bipartisan coalition of thinkers has assembled something the government has so far declined to produce: a framework…
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A perfectly balanced atom just broke one of nuclear physics’ biggest rules
For many years, nuclear physicists believed that “Islands of Inversion” were found mainly in isotopes packed with extra neutrons. These unusual regions of the nuclear chart are places where the normal structure of atomic nuclei suddenly stops…
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International Women’s Day: Honouring the resilience and leadership of women living with HIV long-term
On International Women’s Day, we honour the resilience, leadership, and lived experiences of women who have lived with HIV for decades. Their stories challenge stigma and shape the future of HIV advocacy.
At EATG, these voices are central to…
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Men’s Hockey Suffers Overtime Defeat in UCHC Championship Game
MARYLAND HEIGHTS, Mo. – The Lindenwood men’s hockey…
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The allure of kitchen gizmos solving problems we didn’t know we had? It’s dizzying – The Irish Times
Myself and Daughter Number Four had to get her a small whiteboard for class. This isn’t a high-end piece of equipment, so we knew exactly where to go to get it. In the shopping centre near where we live, there are a number of shops that sell…
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Exploring associations between energetic and anthropometric characteristics with front crawl technique in young male swimmers using IMU sensors: a preliminary study
Morales, E. O. & Arellano, R. C. Regression analysis model applied to age-group swimmers: 50m race component times analysis. J. Hum. Sport. Exerc. 14(2), 315–324. https://doi.org/10.14198/jhse.2019.142.05 (2019).
Gonjo, T. & Olstad, B. H. Race analysis in competitive swimming: a narrative review. Int. J. Enivron Res. Public. Health. 18 (1), 69. https://doi.org/10.3390/ijerph18010069 (2021).
Thng, S., Pearson, S., Mitchell, S. J. G., Meulenbroek, C. & Keogh, J. W. L. On-block mechanistic determinants of start performance in high performance swimmers. Sports Biomech. 23(5), 682–694. https://doi.org/10.1080/14763141.2021.1887342 (2021).
Born, D-P., Polach, M. & Staunton, C. Determining validity and reliability of an in-field performance analysis system for swimming. Sensors 24 (22), 7186. https://doi.org/10.3390/s24227186 (2024).
Barbosa, T. M. et al. The role of the biomechanics analyst in swimming training and competition analysis. Sports Biomech. 22(12), 1734–1751. https://doi.org/10.1080/14763141.2021.1960417 (2021).
Morais, J. E., Barbosa, T. M., Silva, A. J., Veiga, S. & Marinho, D. A. Profiling of elite male junior 50 m freestyle sprinters: Understanding the speed-time relationship. Scand. J. Med. Sci. Sports 32(1), 60–68. https://doi.org/10.1111/sms.14058 (2022).
Morais, J. E., Barbosa, T. M., Bragada, J. A., Nevill, A. M. & Marinho, D. A. Race analysis and determination of stroke frequency – Stroke length combinations during the 50-m freestyle event. J. Sports. Sci. Med. 22, 156–165. https://doi.org/10.52082/jssm.2023.156 (2023).
Wadrzyk, L. et al. Impact of energetic-anthropometric features on 50-m and 100-m freestyle kinematic indices in young male swimmers. Act. Bioeng. Biomech. 27 (1), 157–167. https://doi.org/10.37190/abb-02559-2024-02 (2025).
Delhaye, E. et al. Automatic swimming activity recognition and lap time assessment based on a single IMU: A deep learning approach. Sensors 22 (15), 5786. https://doi.org/10.3390/s22155786 (2022).
Donisi, L. et al. Wearable sensors and artificial intelligence for physical ergonomics: a systematic review of literature. Diagnostics 12(12), 3048. https://doi.org/10.3390/diagnostics12123048 (2022).
Morais, J. E., Oliveira, J. P., Sampaio, T. & Barbosa, T. M. Wearables in swimming for real-time feedback: a systematic review. Sensors 22 (10), 3677. https://doi.org/10.3390/s22103677 (2022).
Skorulski, M., Stachowicz, M., Kulis, S. & Gajewski, J. Accelerometric assessment of fatigue-induced changes in swimming technique in high performance adolescent athletes. Sci. Rep. 15 (1), 2409. https://doi.org/10.1038/s41598-024-83310-w (2025).
Worsey, M. T. O., Pahl, R., Espinosa, H. G., Shepherd, J. B. & Thiel, D. V. Is machine learning and automatic classification of swimming data what unlocks the power of inertial measurement units in swimming? J. Sports Sci. 39 (18), 2095–2114. https://doi.org/10.1080/02640414.2021.1918432 (2021).
Ide, T. et al. Examining Stroke Efficiency: How an Olympian outperformed a masters swimmer in backstroke. Psychol. Res. 14(8), 251–258 (2024).
Biro, A., Cuesta-Vargas, A. I. & Szilagyi, L. AI-assisted fatigue and stamina control for performance sports on IMU-generated multivariate times series datasets. Sensors 24, 132. https://doi.org/10.3390/s24010132 (2023).
Serena, R. M., Hinterwimmer, F., Burgkart, R., von Eisenhart-Rothe, R. & Rueckert, D. The use of artificial intelligence and wearable inertial measurement units in medicine: systematic review. JMIR Mhealth Uhealth 29(13), 60521. https://doi.org/10.2196/60521 (2025).
Barbosa, T. M., Bartolomeu, R., Morais, J. E. & Costa, M. J. Skillful swimming in age-groups is determined by anthropometrics, biomechanics and energetics. Front. Physiol. 15 (10), 73. https://doi.org/10.3389/fphys.2019.00073 (2019).
Ruiz-Navarro, J. J. et al. Factors relating to sprint swimming performance: A systematic review. Sports Med. 55(4), 899–922. https://doi.org/10.1007/s40279-024-02172-4 (2025).
Ruiz-Navarro, J. J., Lopez-Belmonte, O., Gay, A., Cuenca-Fernandez, F. & Arellano, R. A new model of performance classification to standardize the research results in swimming. Eur. J. Sport Sci. 23(4), 478–488. https://doi.org/10.1080/17461391.2022.2046174 (2022).
Martin, R. & Saller, K. Textbook of Anthropology Vol. 1 (Gustav Fischer Verlag, 1957).
Tanner, J. Growth at Adolescence 2nd ed. (Blackwell Scientific Publications, 1962).
Kryst, L., Zeglen, M., Woronkowicz, A. & Kowal, M. Secular changes of foot dimensions among children and adolescents (3–18 years of age). Anthropol. Anz. 80(1), 31–38. https://doi.org/10.1127/anthranz/2022/1615 (2023).
Pla, R. et al. Spatial-temporal variables for swimming coaches: A comparison study between video and TritonWear sensor. Int. J. Sports Sci. Coach. 16 (6), 1–10. https://doi.org/10.1177/17479541211013755 (2021).
Hopkins, W. G. A Scale of Magnitudes for Effect Statistics: A New View of Statistics. http://www.sportsci.org/resource/stats/effectmag.html.
Ghorbani, H. Mahalanobis distance and its application for detecting multivariate outrliers. Facta Univ. Ser. Math. Inform. 34(3), 583–595. https://doi.org/10.22190/FUMI1903583G (2019).
Rea, A. & Rea, W. How many components should be retained from a multivariate time series PCA? https://arxiv.org/abs/1610.03588 (2016).
Morais, J. E., Barbosa, T. M., Nevill, A. M., Cobley, S. & Marinho, D. A. Understanding the role of propulsion in the prediction of front-crawl swimming velocity and in the relationship between stroke frequency and stroke length. Front. Physiol. 27 (13), 876838. https://doi.org/10.3389/fphys.2022.876838 (2022).
Simbana-Escobar, D., Hellard, P. & Seifert, L. Influence of stroke rate on coordination and sprint performance in elite male and female swimmers. Scand. J. Med. Sci. Sports 30(11), 2078–2091. https://doi.org/10.1111/sms.13786 (2020).
Wadrzyk, L., Staszkiewicz, R. & Strzala, M. Comparison of race performance characteristics for the 50 m and 100 m freestyle among regional-level male swimmers. Appl. Sci. 12 (24), 12577. https://doi.org/10.3390/app122412577 (2022).
Marinho, D. A., Neiva, H. P., Branquinho, L. & Ferraz, R. Anthropometric characterization and muscle strength parameters in young female swimmers at national level: The relationship with performance in the 50 m freestyle. J. Hum. Sport Exerc. 16(2), 295–306. https://doi.org/10.14198/jhse.2021.16.Proc2.15. (2021).
Alves, M., Carvalho, D. D., Fernandes, R. J. & Vilas-Boas, J. P. How anthropometrics of young and adolescent swimmers influence stroking parameters and performance? A systematic review. Int. J. Environ. Res. Public. Health. 19 (5), 2543. https://doi.org/10.3390/ijerph19052543 (2022).
Retzepis, N. O. et al. The effect of peak height velocity on strength and power development of young athletes: a scoping review. J. Funct. Morphol. Kinesiol. 10 (2), 168. https://doi.org/10.3390/jfmk10020168 (2025).
Keiner, M. et al. The influence of upper- and lower-body maximum strength on swim block start, turn, and overall swim performance in sprint swimming. J. Strength Cond. Res. 35(10), 2839–2845. https://doi.org/10.1519/JSC.0000000000003229 (2021).
Nevill, A. M., Negra, Y., Myers, T. D., Sammoud, S. & Chaabene, H. Key somatic variables associated with, and differences between the 4 swimming strokes. J. Sports Sci. 38(7), 787–794. https://doi.org/10.1080/02640414.2020.1734311 (2020).
Price, T., Cimadoro, G. & Legg, H. S. Physical performance determinants in competitive youth swimmers: a systematic review. BMC Sports Sci. Med. Rehabil. 16, 20. https://doi.org/10.1186/s13102-023-00767-4 (2024).
Dopsaj, M. et al. Body composition in international sprint swimmers: are there any relations with performance? Int. J. Environ. Res. Public. Health. 17 (24), 9464. https://doi.org/10.3390/ijerph17249464 (2020).
Gourgoulis, V. et al. The influence of the hand’s acceleration and the relative contribution of drag and lift forces in front crawl swimming. J. Sports Sci. 33(7), 696–712. https://doi.org/10.1080/02640414.2014.962571 (2015).
Takagi, H. et al. How do swimmers control their front crawl swimming velocity? Current knowledge and gaps from hydrodynamic perspectives. Sports Biomech. 22(12), 1552–1571. https://doi.org/10.1080/14763141.2021.1959946 (2023).
Koga, D. et al. Relationship between hand kinematics, hand hydrodynamic pressure distribution and hand propulsive force in sprint front crawl swimming. Front. Sports Act. Living. 15 (4), 786459. https://doi.org/10.3389/fspor.2022.786459 (2022).
Dos Santos, K. B., Bento, P. C. B. & Rodacki, A. F. L. A three-dimensional aspect of front crawl swimming in swimmers with different proficiency levels. J. Phys. Educ. Sport 23(5), 1092–1095. https://doi.org/10.7752/jpes.2023.05136 (2023).
Dos Santos, M. A. M. et al. The influence of anthropometric variables, body composition, propulsive force and maturation on 50m freestyle swimming performance in junior swimmers: An allometric approach. J. Sports Sci. 39(14), 1615–1620. https://doi.org/10.1080/02640414.2021.1891685 (2021).
Di Prampero, P. E. & Osgnach, C. Energy cost of human locomotion on land and in water. In Muscle and Exercise Physiology (ed. Zoladz, J. A.) 183–213 (Elsevier Science Publishing Co Inc, 2019).
Cortesi, M. et al. Passive drag in young swimmers: effects of body composition, morphology and gliding position. Int. J. Environ. Res. Public. Health. 17 (6), 2002. https://doi.org/10.3390/ijerph17062002 (2020).
Bartolomeu, R. F. et al. Nonlinear analysis of the hand and foot force-time profiles in the four competitive swimming strokes. J. Hum. Kinet. 90, 71–88. https://doi.org/10.5114/jhk/172616 (2024).
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Women’s Basketball Earns Two-Seed at the CUSA Basketball Championships
MIAMI – With a program record 12 wins in…
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Punjab to build 358 underground water tanks for irrigation – Pakistan Today
The Punjab government will construct 358 underground water tanks and install wastewater treatment plants to improve irrigation and water management, aiming to address water scarcity for farmers across the province.
LAHORE: The Punjab government…
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Explosion at US embassy in Oslo may have been terrorism, Norway police say
Speaking to NRK later on Sunday, Larsen stressed that “we have to be open to the possibility that there may be other causes behind what has happened”.
In an earlier statement, Norway’s police said that “large resources” were sent to the area…
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Lenovo Advances Smarter & Adaptive AI for All
Lenovo is launching faster laptops and bridging the gap between human intent and hardware. With the rollout of Lenovo Qira and a suite of “adaptive” concepts, the message is the future of tech is invisible, modular, and deeply personal.
Meet…
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