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Machine Learning Techniques for Classification of Stress Levels in Traffic
Published 2024-06-01Get full text
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The impact of precompetition state on athletic performance among track and field athletes using machine learning
Published 2025-02-01“…ObjectiveThis study aims to compare the differences in the precompetition status (nutritional, physiological, biochemical, psychological, and sleep statuses) among college track and field athletes with different competition performances and to screen for key indicators of differences affecting athletic performance.MethodsMultiple indicators, traditional methods, and machine learning methods are used to detect the exercise load, fatigue index, and precompetition state of athletes with different sports performances.Results(1) Two weeks before the competition, the fat mass in the left upper limb in the BP group was significantly higher than that in the BnP group (P < 0.05). …”
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TAp63γ is the primary isoform of TP63 for tumor suppression but not development
Published 2025-02-01Get full text
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Association of Subclinical Hypothyroidism in Type 2 Diabetic Individuals
Published 2025-02-01Get full text
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Reshaping lipid metabolism with long-term alternate day feeding in type 2 diabetes mice
Published 2025-02-01Get full text
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A protocol to optimize non-invasive brain stimulation for post-stroke rehabilitation
Published 2025-06-01Get full text
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