An Apparent Achilles Heel of the NFL: Have Achilles Tendon Injuries Significantly Increased to Unacceptably High Incidence Levels in the NFL and if so, why? A Clinical Insight by Timothy E Hewett, Chad D Lavender, Andrew L Schaver

“…With cell phones in hand, we watched as our X apps lit up with claims of an excess of ATRs in the NFL in recent years and much of the blame placed on the new rubberized turf surfaces in place in most of the NFL stadiums. That first week of the NFL season the NFL Players Association, the NFLPA, put out a statement to this effect that demanded removal of rubberized turf surfaces throughout the NFL! …”
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Efficiency Determinants in Brazilian Football Clubs by Marcelo Machado de Freitas, Rafael Araújo Sousa Farias, Leonardo Flach

“…Included among the strategies that allow for greater efficiency in Brazilian clubs are the better utilization of stadiums and club assets, maximization of the financial worth of player popularity, and joining these with titles and a place in the A Series. …”
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Review on Intelligent Governance of Physical Fitness of College Students under the Background of Big Data by Qing Liu, Zhenzhi Li, Shangli Liu

“…By creating an intelligent governance concept with data thinking, building an intelligent governance platform supported by data, and by such measures as improving the data literacy of physical education teachers in colleges and universities and upgrading stadiums with intelligent techniques, the study seeks to break through the bottleneck of college students’ physical fitness governance and open up a new path to realize the effective governance of college students’ physical fitness.…”
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Fish oocyte morphology detection using neural networks: a comparison of YOLO architectures by Yanna Leidy Ketley Fernandes Cruz, Ewaldo Eder Carvalho Santana, Isa Rosete Araujo Nascimento, Antonio Fhillipi Maciel Silva, Raimunda Nonata Fortes Carvalho Neta, José Ribamar de Souza Torres-Junior

“…The research uses an image database with 5,680 oocytes with different maturation stadiums (PV - pre-vitellogenesis, VI - early vitellogenesis and VF - late vitellogenesis), in histological images, divided into training, testing and validation, and detection performed by YOLOv3, YOLOv4, and YOLOv5 architectures. …”
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Analyzing Structural and Physical Changes and the Future of Tehran’s Urban Fringe (The Case: The Fringe of District 22 of Tehran Municipality) by Taher Parizadi, Ali Shamaei

“…The analysis of drivers also showed that in the future, out of a total of 25 possible land uses, forestry, eco- tourism, constructiing villas and secon homes, parks, malls, military spaces, stadiums and sports places, and roads and transportation terminals cause to main changes on the structural-physical of the studied fringe.…”
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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

“…This makes it a valuable tool for health monitoring and damage detection of buildings, bridges, wind turbines, and stadiums. One of the challenges of OMA is that its methods rely on the user's judgment to separate physical modes from spurious modes and to distinguish between real modes of the structure. …”
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