The Integrated Task Modeling Environment (ITME) is a user-friendly software tool that has been developed to automatically recode low-level data into an empirical record of meaningful task performance. The present research investigated and validated the performance of the ITME software package by conducting complex simulation missions and comparing the task analyses produced by ITME with taskanalyses produced by experienced video analysts. A very high interrater reliability (> or = .94) existed between experienced video analysts and the ITME for the task analyses produced for each mission. The mean session time:analysis time ratio was 1:24 using video analysis techniques and 1:5 using the ITME. It was concluded that the ITME produced task analyses that were as reliable as those produced by experienced video analysts, and significantly reduced the time cost associated with these analyses.
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http://dx.doi.org/10.3758/bf03192978 | DOI Listing |
PLoS One
January 2025
School of Physical Education, Jinjiang College, Sichuan University, Chengdu, Sichuan Province, People's Republic of China.
In athletes' competitions and daily training, in order to further strengthen the athletes' sports level, it is usually necessary to analyze the athletes' sports actions at a specific moment, in which it is especially important to quickly and accurately identify the categories and positions of the athletes, sports equipment, field boundaries and other targets in the sports scene. However, the existing detection methods failed to achieve better detection results, and the analysis found that the reasons for this phenomenon mainly lie in the loss of temporal information, multi-targeting, target overlap, and coupling of regression and classification tasks, which makes it more difficult for these network models to adapt to the detection task in this scenario. Based on this, we propose for the first time a supervised object detection method for scenarios in the field of motion management.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Physical Education, Beijing Wuzi University, Beijing, China.
Purpose: Stroke is one of the leading causes of acquired disability in adults in high-income countries. This study aims to determine the intervention effects of robot-assisted task-oriented training on enhancing the upper limb function and daily living skills of stroke patients.
Methods: A systematic search was conducted across PubMed, China National Knowledge Infrastructure, Web of Science, Cochrane Library, Embase, and Scopus databases through March 1, 2024.
J Correct Health Care
January 2025
Departments of Medicine and Pediatrics, Warren Alpert Medical School at Brown University, Providence, Rhode Island, USA.
Limited data exist on cancer screening in carceral facilities. This study evaluates the feasibility and outcomes of a population-based lung cancer screening initiative in a carceral setting. This is a retrospective review of a lung cancer screening event at the Rhode Island Department of Corrections.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Men's Health Inequities Research Lab, Milwaukee, Wisconsin.
Importance: Research indicates that social drivers of health are associated with cancer screening adherence, although the exact magnitude of these associations remains unclear.
Objective: To investigate the associations between individual-level social risks and nonadherence to guideline-recommended cancer screenings.
Design, Setting, And Participants: This cross-sectional study used 2022 Behavioral Risk Factor Surveillance System data from 39 US states and Washington, DC.
Environ Sci Pollut Res Int
January 2025
School of Management, Tianjin University of Commerce, Tianjin, 300134, China.
Decoupling economic growth and carbon emissions is essential to a sustainable high-quality development. As a small unit of the engine of development, more research has begun to focus on city-level issues. In order to fill the gaps in the decoupling research at the city level covering the whole nationwide, this paper applied the bottom-up method to calculate 282 cities' carbon emissions according to China's city-level panel data of terminal energy consumption, and combined Tapio decoupling with LMDI decomposition model to analyze cities' decoupling status and its driving factors.
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