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Improving physical balance among older workers is essential for preventing falls in workplace. We aimed to elucidate the age-related decline in one-leg standing time with eyes closed, an indicator of static balance, and mitigating influence of daily walking habits on this decline in Japan. This longitudinal study involved 249 manufacturing workers, including seven females, aged 20-66 years engaged in tasks performed at height in the aircraft and spacecraft machinery industry.

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Background: Virtual interviewing for fellowship training programs has been widely adopted since the COVID-19 pandemic. However, whether fellowship candidates can adequately evaluate training program culture through virtual interviews is unclear.

Objective: Our aim was to explore how pulmonary and critical care fellows ascertained program culture during virtual and in-person fellowship program recruitment interviews, with the overall goal of improving our virtual recruiting interview processes.

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Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.

Methods: Train data (n=190, age 54.

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Objective: assessment of probable exposure levels from radon and NORM in workplaces within the context of justi fying radiation protection plans in an existing exposure situation.

Materials And Methods: Materials regarding the assessment of naturally occurring radioactive material (NORM) con tent in tailing from mining and processing industries in Ukraine and assessments of contamination levels of industri al sites of oil and gas enterprises were used for estimating the probable range of effective doses (ED) of workers fromNORM at industrial enterprises. These materials were obtained as a result of research conducted by specialists from theRadiation Protection Laboratory of the State Institution «O.

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Background: A competency-based education approach calls for frequent workplace-based assessments (WBA) of Entrustable Professional Activities (EPAs). While mobile applications increase the efficiency, it is not known how many assessments are required for reliable ratings and whether the concept can be implemented in all sizes of residency programs.

Methods: Over 5 months, a mobile app was used to assess 10 different EPAs in daily clinical routine in Swiss anesthesia departments.

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