This study examines whether burned area from forest fires in Portugal can be predicted using satellite, weather, and time-series data. Results show human-caused fires dominate over natural ones, and predictive models achieved around 95% accuracy, demonstrating strong potential for improving resource allocation and fire management strategies.

This research investigates how microplastics and nanoplastics affect human cells. Using laboratory models that mimic the digestive system, it examines how particle size and concentration influence toxicity. The findings show that smaller particles are more harmful, providing evidence that can inform safety regulations and reduce human exposure to plastic pollution.