Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe

Abstract The impacts and threats posed by wildfires are dramatically increasing due to climate change.In recent years, the wildfire community has attempted to estimate wildfire occurrence with machine learning models.However, to fully exploit the potential of these models, it is of paramount importance to make their predictions interpretable and in

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A Protocol for Fabrication and on-Chip Cell Culture to Recreate PAH-Afflicted Pulmonary Artery on a Microfluidic Device

Pulmonary arterial hypertension (PAH) is a rare pulmonary vascular disease that affects people of all ethnic origins and age groups including newborns.In PAH, pulmonary arteries and arterioles undergo a series of pathological changes including remodeling of the entire pulmonary vasculatures and extracellular matrices, mis-localized growth of pulmon

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