ANALYSIS OF THE FATIGUE STATUS OF MEDICAL SECURITY PERSONNEL DURING THE CLOSED-LOOP PERIOD USING MULTIPLE MACHINE LEARNING METHODS: A CASE STUDY OF THE BEIJING 2022 OLYMPIC WINTER GAMES

Analysis of the fatigue status of medical security personnel during the closed-loop period using multiple machine learning methods: a case study of the Beijing 2022 Olympic Winter Games

Abstract Using machine learning methods to analyze the fatigue status of medical security D Vitamins personnel and the factors influencing fatigue (such as BMI, gender, and wearing protective clothing working hours), with the goal of identifying the key factors contributing to fatigue.By validating the predicted outcomes, actionable and practical r

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THE CONCEPT OF ‘ALA BỤ ALA’: A SIGNAL FOR IGBO EXTINCTION

Igbo people has been known as the ethnic group that is most travelled.They do not only travel but also prosper in foreign lands, build houses, feel at home and relax in another man’s land.Some marry from other ethnic groups, bear children and imbibe the culture of other Astaxanthin people they meet in the host community.Some do not care to reach

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