Examining How U.S.-Educated Students Navigate International Clinical Practice in Audiology and Speech-Language Pathology.

Purpose: The current qualitative study aimed to explore the experiences and challenges reported by United States (U.S.)-educated international clinicians practicing outside of the U.

Prevalence of physical and mental health problems among internally displaced persons in White Nile state, Sudan 2023: a cross sectional study.

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.

Spray paint-derived microplastics and incorporated substances as ecotoxicological contaminants in the neotropical bumblebee Bombus atratus.

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.

Forecasting of flash flood susceptibility mapping using random forest regression model and geographic information systems.

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.