Publications by authors named "F M F Abdalla"

Background: Following the latest war in 2023, over nine million people have been internally displaced, of which White Nile State received over 50,000. They lived in different camps and moved to big cities. This study assessed the scope of mental and physical concerns among the IDPs to identify important healthcare needs.

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While bumblebees may be exposed to microplastics (MPs), the effects on them are not well studied. Therefore, in this research, we assessed the cytotoxicity of pristine and photodegraded spray paint-derived MPs on the midgut, Malpighian tubules, and hepato-nephrocitic system cells of Bombus atratus workers exposed to 50 mg.L MPs for 96 hours.

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Article Synopsis
  • Fipronil (FP) is an insecticide that is effective against pests but has harmful effects on bees, particularly on the brain of bumblebees.
  • A study was conducted on Bombus atratus, exposing them to two concentrations of FP for 96 hours, using techniques like the comet assay to assess DNA damage and morphological changes.
  • Results indicated that FP exposure led to significant DNA damage and structural changes in the bumblebee brains, highlighting the urgent need for further research on its toxic effects on other species for better environmental risk assessments.
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Flash floods, rapid and devastating inundations of water, are increasingly linked to the intensifying effects of climate change, posing significant challenges for both vulnerable communities and sustainable environmental management. The primary goal of this research is to investigate and predict a Flood Susceptibility Map (FSM) for the Ibaraki prefecture in Japan. This research utilizes a Random Forest (RF) regression model and GIS, incorporating 11 environmental variables (involving elevation, slope, aspect, distance to stream, distance to river, distance to road, land cover, topographic wetness index, stream power index, and plan and profile curvature), alongside a dataset comprising 224 instances of flooded and non-flooded locations.

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Assessing water quality in arid regions is vital due to scarce resources, impacting health and sustainable management.This study examines groundwater quality in Assuit Governorate, Egypt, using Principal Component Analysis, GIS, and Machine Learning Techniques. Data from 217 wells across 12 parameters were analyzed, including TDS, EC, Cl, Fe, Ca, Mg, Na, SO, Mn, HCO, K, and pH.

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