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Individuals with long-COVID exhibit a higher frequency of hypomagnesemia, vitamin D deficiency, and depression. Objective. To evaluate the efficacy and safety of oral supplementation with magnesium chloride plus vitamin D in alleviating depressive symptoms related to long-COVID.

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Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare.

Health Sci Rep

January 2025

Department of Research The Medical Research Circle (MedReC) Goma Democratic Republic of the Congo.

Background And Aim: Epilepsy is a major neurological challenge, especially for pediatric populations. It profoundly impacts both developmental progress and quality of life in affected children. With the advent of artificial intelligence (AI), there's a growing interest in leveraging its capabilities to improve the diagnosis and management of pediatric epilepsy.

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Objective: To investigate the relationship between United States (US) containment measures during the COVID-19 pandemic and household food insecurity.

Design: To investigate these relationships, we developed a framework linking COVID-related containment policies with different domains of food security, then used multilevel random effects models to examine associations between state-level containment policies and household food security. Our framework depicts theorized linkages between stringency policies and five domains of food security (availability, physical access, economic access, acceptability in meeting preferences, and agency, which includes both self-efficacy and infrastructure).

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Objective: This study evaluated the impact of adding authentic patient video training to a base e-module featuring simulated patient videos, aimed at improving the mental status examination (MSE) skills of fifth-year medical students during their psychiatric rotation.

Methods: A randomized controlled trial (RCT) was conducted with 290 students, assigned to either an experimental group, the full e-learning group (Full), or an active comparator group, the limited e-learning group (Limited). The Limited group received a base e-module on MSE, while the Full group received both the base e-module and an additional module with 23 authentic patient videos.

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The continuous evolution of information technology underscores the growing emphasis on data security. In the realm of medical imaging, various diagnostic images represent the privacy of individuals, and the potential repercussions of their unauthorized disclosure are substantial. Therefore, this study introduces a novel chaotic system (TLCMCML) and employs it to propose a multi-image medical image encryption algorithm.

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