Publications by authors named "M Alrasheed"

The health of poultry flock is crucial in sustainable farming. Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. However, there has been little research on using Tiny Machine Learning (Tiny ML) for continuous vocalization monitoring in poultry.

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Background: Duloxetine, a serotonin and norepinephrine reuptake inhibitor (SNRI), is used to treat various health conditions, including major depressive disorder, generalized anxiety disorder, fibromyalgia, and off-label for chemotherapy-induced pain. We conducted this systematic review and meta-analysis aiming to test the current evidence regarding effectiveness and safety of duloxetine for postspine surgeries pain.

Methods: We searched the Cochrane Central Register of Controlled Trials, PubMed, Scopus and Web of science databases for relevant articles up to March 2024.

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Background: Out-of-office blood pressure (BP) measurement devices, such as ambulatory BP monitoring (ABPM) and home BP monitoring (HBPM), enhance the accuracy and reliability of BP readings, detecting white-coat and masked hypertension. The American Heart Association (AHA) advises confirming hypertension diagnoses with ABPM to prevent overdiagnosis, emphasizing the importance of precise out-of-office diagnostic tools. This study aimed to 1) explore the prevalence of ABPM and HBPM use prior to hypertension diagnosis; 2) assess the adherence to AHA recommendations regarding ABPM utilization; and 3) investigate the association between patient characteristics and out-of-office BP monitoring practices.

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Article Synopsis
  • The study aimed to create and validate an Arabic version of the Pre-Sleep Arousal Scale (PSAS) to measure mental and physical arousal before sleep among Arabic-speaking individuals.
  • In a survey of 438 participants, the Arabic PSAS displayed strong psychometric properties, including high internal consistency and reliability, and maintained the original two-factor structure of cognitive and somatic arousal.
  • Results showed significant differences in pre-sleep arousal levels between individuals with insomnia symptoms and those without, indicating that the Arabic PSAS is a useful tool for assessing sleep-related issues in this population.
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