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Pedro Gómez-Carmona, Ismael Fernández-Cuevas, Manuel Sillero-Quintana, Javier Arnaiz-Lastras and Archit Navandar

statement, each injury was coded according to a modified version of the Orchard Sports Injury Classification System (version 10.0; https://www.johnorchard.com/osics-downloads.html ) to determine the injury classification, location, and type. Preseason Training Program Both the technical staff and the

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Sarah P. Shultz, Jinsup Song, Andrew P. Kraszewski, Jocelyn F. Hafer, Smita Rao, Sherry Backus, Rajshree M. Hillstrom and Howard J. Hillstrom

function can accurately discriminate between the 3 simplest foot type classifications: cavus, rectus, and planus. It is hypothesized that the most efficient model for classifying foot types will include variables representing foot structure, flexibility, and function. By identifying the contributing

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Anantha Narayanan, Farzanah Desai, Tom Stewart, Scott Duncan and Lisa Mackay

were searched for in abstracts, titles, and keywords: [(“physical activity” OR “posture” OR “activity classification” OR “sedentary” OR “sleep” OR “energy expenditure”) AND (“machine learning” OR “pattern recognition” OR “neural network” OR “classifier”) AND (“acceleromet*” OR “wearable” OR “IMU

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Simon J. MacLeod, Chris Hagan, Mikel Egaña, Jonny Davis and David Drake

relationship between loads and collision performance to be examined. Accordingly, the principal aim of this study was to determine if microtechnology-derived collision loads when cross-referenced with video analysis can discriminate between collision performances identified by 3 classification types (dominant

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David Pierce and James Johnson

code occupations. The empirical method uses occupational data provided by the Department of Labor to assign RIASEC codes through classification equations that estimate the probability that each of the occupations belong to each category. The judgmental method utilizes trained judges to analyze an

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Meghan K. Edwards and Paul D. Loprinzi

cancer mortality. 9 Given the relatively large proportion of deaths not attributed to the first 9 major causes of death (as defined in the International Classification of Disease, 10th revision), 10 , 11 a recent study explored the relationship between moderate to vigorous leisure time PA and residual

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Derek Breen, Michelle Norris, Robin Healy and Ross Anderson

-split times (0–40 km), the availability of age and gender information, and being classified as a masters athlete (≥35 y old). The athletes who fit the inclusion criteria were then classified based on gender (2 groups) and age (10 groups), resulting in 20 independent groups. Age classification was based on

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Michael Kirkwood, Sheau-Fen Yap and Yingzi Xu

author acted as the main coder, reviewed all data, and identified the categories for classification, the second coder reviewed the outcomes derived from the initial coding. This coding approach is deemed appropriate, as the purpose of the coding process was not to obtain identical answers or consensus

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E. Kipling Webster, Leah E. Robinson and Danielle D. Wadsworth

nearest 0.1 cm and pound, respectively, using a portable scale (Seca Floor Scale 769; Seca Corporation, Hanover, MD). Children removed shoes and heavy outerwear for anthropometric measurements. Weight classification status for children was determined using the Centers for Disease Control and Prevention

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Rafael L. Kons, Kai Krabben, David L. Mann, Gabriela Fischer and Daniele Detanico

( Katame-waza ), then further classified according to the official technical classification ( International Judo Federation, 2018 ). Throwing techniques were subdivided into hand techniques ( Te-waza ), foot techniques ( Ashi-waza ), hip techniques ( Koshi-waza ), and sacrifice techniques ( Sutemi