Publications by authors named "S Al-Marri"

The current study investigates removing tetracycline from water using batch, column, and tank experiments with statistical modelling using ANN for continuous tests. An artificial neural network (ANN) using the Levenberg-Marquardt back-propagation (LMA) training algorithm is constructed to compare the effectiveness of Tetracycline removal from aqueous solution using the sorption technique with prepared adsorbent. Several characterization analyses XRD, FT-IR, and SEM are employed for prepared Brownmillerite (CaFeO)-Na alginate beads.

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Introduction: Child abuse refers to any type of mistreatment of a child, perpetrated by a parent, caregiver, or another individual in a custodial capacity, which may lead to instances of physical, sexual, or emotional abuse. Physicians play a crucial role in identifying and managing this phenomenon in the healthcare setting, as the number of unreported cases increases globally.

Methods: A questionnaire-based cross-sectional study was conducted between 2022 and 2023 among physicians practicing in Saudi Arabia to assess their knowledge, awareness, and attitude toward child abuse.

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Age-related differences in physical activity (PA), maturity status (PHV), physical performance (PP), and academic achievement (AA) among schoolchildren in Qatar were examined. Sixty-nine students from a school in Doha were categorized into three equal (n = 23) groups: 11-year-old students (U11; male: n = 14), 12-year-old students (U12: male: n = 7), and 13-year-old students (U13: male: n = 11). The testing process comprised a medicine ball throw, Stork balance test, hand grip strength test, the T-half test (PP), GPA in Arabic, mathematics, science (AA), International Physical Activity Questionnaire Short Form (PA), and Moore's equations (PHV).

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This investigation explored relationships between biological maturation, physical and academic performance in young male soccer players. Thirty-eight players (age: 9.79 ± 1.

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