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Purpose: Head acceleration events (HAEs) are a growing concern in contact sports, prompting two rugby governing bodies to mandate instrumented mouthguards (iMGs). This has resulted in an influx of data imposing financial and time constraints. This study presents two computational methods that leverage a dataset of video-coded match events: cross-correlation synchronisation aligns iMG data to a video recording, by providing playback timestamps for each HAE, enabling analysts to locate them in video footage; and post-synchronisation event matching identifies the coded match event (e.

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Background: The effect of targeted temperature management (TTM) combined with decompressive craniectomy (DC) on poor-grade aneurysmal subarachnoid hemorrhage (aSAH) has not been previously addressed in the literature. This study aims to investigate the therapeutic outcomes of the combination of TTM and DC in patients with poor-grade aSAH.

Methods: This study represents a secondary analysis of the Multicenter Clinical Research on Targeted Temperature Management of Poor-grade Aneurysmal Subarachnoid Hemorrhage (High-Quality TTM for PaSAH), a multicenter prospective study conducted in China.

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Improving ADR reporting in Jordan: a qualitative exploration of pharmacists' perspectives.

Front Med (Lausanne)

January 2025

Department of Pharmacy Practice, College of Clinical Pharmacy, King Faisal University, Al-Ahsa, Saudi Arabia.

Background: Community pharmacists are most accessible to patients. Hence, they have a crucial role in ensuring drug safety by detecting and reporting adverse drug reactions (ADRs). However, there may be gaps in their knowledge of ADR reporting systems and barriers they face in reporting.

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Introduction Video-based learning has proved to be an effective tool for education and knowledge gain in all fields. YouTube is a free video-sharing website consisting of numerous educational and skill development videos; you can even create and upload your videos to share knowledge and experience with others. YouTube contains videos about simple button sewing to space rocket preparation.

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Humans and animals excel at learning complex tasks through reward-based feedback, dynamically adjusting value expectations and choices based on past experiences to optimize outcomes. However, understanding the hidden cognitive components driving these behaviors remains challenging. Neuroscientists use the Temporal Difference (TD) learning model to estimate cognitive elements like value representation and prediction error during learning and decision-making processes.

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