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Philippa M. Dall, Dawn A. Skelton, Manon L. Dontje, Elaine H. Coulter, Sally Stewart, Simon R. Cox, Richard J. Shaw, Iva Čukić, Claire F. Fitzsimons, Carolyn A. Greig, Malcolm H. Granat, Geoff Der, Ian J. Deary, Sebastien F.M. Chastin and On behalf of the Seniors USP Team

(on a secure cloud server) allowing easy review by all staff •  Data recorded to increase compliance and allow identification of systematic errors/deviation from protocol and monitor malfunction •  Member of staff with experience of data collection using the monitor assigned to triage technical issues

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Keishi Soga, Keita Kamijo and Hiroaki Masaki

picture was presented. The order of the size block and animacy block, and the stimulus-response mapping were counterbalanced across participants and conditions. Responses were classified into six categories: (a) hit was defined as the correct identification of old pictures as old, (b) miss was defined as

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Susan Carter

difficult to identify energy deficiency in the recreational population because there is little or no regulating entity. Recognition and identification is key, and I feel like we have made progress in this regard. However, we are still lacking access and consistency to the treatments offered. In the mid

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Melissa Theige and Shannon David

emphasized proprioception and sport-specific movement. Patients completed treatment within 9–16 wk depending on speed of progress. The dancer was examined using a Sahrmann analysis to identify deficits in movement patterns believed to have contributed to her labral pathology. Identification of improper

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Mindi Fisher, Ryan Tierney, Anne Russ and Jamie Mansell

Wisconsin participating in football, hockey, and boys’ and girls’ soccer; 8,056 used for sample based on identification of ADHD or learning disability history; average age = 18 years. 39,247 adolescent athletes between the ages of 13–18; average age = 15.5 years. 29 student athletes between the ages of 12

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Roel De Ridder, Julien Lebleu, Tine Willems, Cedric De Blaiser, Christine Detrembleur and Philip Roosen

corresponds with Trojaniello et al 9 who evaluated several methods of single IMU’s mounted on the lower trunk and showed an acceptable accuracy, sensitivity, and robustness for temporal parameters based on the identification of the initial foot contact, that is, step and stance duration. The accuracy was

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Bradley D. Hatfield, Calvin M. Lu and Jo B. Zimmerman

secondary anterior cruciate ligament (ACL) injury prevention and the future of research on this devastating injury. She described considerable advances in risk identification and prevention over the past 20 years and posed many questions regarding the most effective training and rehabilitation approaches to

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Gemma N. Parry, Lee C. Herrington and Ian G. Horsley

important to identify ways of assessing an athlete’s ability to produce upper-limb force in order to not only understand an individual’s performance potential but also monitor training program effects, long-term development, and talent identification. Despite the importance of upper-limb muscular power

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Kai-Yu Ho, Brenda Benson Deaver, Tyrel Nelson and Catherine Turner

a sampling rate of 240 Hz. Another contributing factor leading to variability in validity data was the presence or absence of markers for bony landmark identification. Particularly, Gwynne and Curran 3 and Munro et al 5 used markers for identifying corresponding bony landmarks when making 2D

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Melody Smith, Erika Ikeda, Erica Hinckson, Scott Duncan, Ralph Maddison, Kim Meredith-Jones, Caroline Walker and Sandra Mandic

Cards and recent research in relevant areas and a panel convened. Individual panel members took responsibility for sourcing data and generating grades for discussion with the panel. All panel members contributed to grading indicators through identification of pertinent data sources, and discussion and