Modeling and predicting caffeine contamination in surface waters using artificial intelligence and standard statistical methods.

Caffeine, considered an emerging contaminant, serves as an indicator of anthropic influence on water resources. This research employs various modeling techniques, including Artificial Neural Networks (ANN), Random Forest (RF), and more, along with hybrid and ensemble methods, to predict caffeine concentrations (in regression and classification scenarios) using readily available water quality parameters. The results indicate Ensemble-RF as the most effective method for estimating caffeine concentrations, while classification scenarios highlight Ensemble-RF, ANN, and Ensemble-ANN as promising methodologies for predicting contamination levels.

A Call for Transformative Intersectional LPAA Intervention for Equity and Social Justice in Ethnosocially Diverse Post-Stroke Aphasia Services.

The disproportionate health disparities in ethnoracial groups highlighted by the COVID-19 pandemic catalyzed a sociopolitical momentum for transformative approaches in health care. As the U.S.

Protective Actions of Cannabidiol on Aging-Related Inflammation, Oxidative Stress and Apoptosis Alterations in Liver and Lung of Long Evans Rats.

Background: Aging is characterised by the progressive accumulation of oxidative damage which leads to inflammation and apoptosis in cells. This affects all tissues in the body causing the deterioration of several organs. Previous studies observed that cannabidiol (CBD) could extend lifespan and health span by its antioxidant, anti-inflammatory and autophagy properties.

Cerebroprotective Effect of 17β-Estradiol Replacement Therapy in Ovariectomy-Induced Post-Menopausal Rats Subjected to Ischemic Stroke: Role of MAPK/ERK1/2 Pathway and PI3K-Independent Akt Activation.

Despite the overwhelming advances in the understanding of the pathogenesis of stroke, a devastating disease affecting millions of people worldwide, currently there are only a limited number of effective treatments available. Preclinical and clinical studies show that stroke is a sexually dimorphic disorder, affecting males and females differently. Strong experimental evidence indicates that estrogen may play a role in this difference and that exogenous 17β-estradiol (E2) is neuroprotective against stroke in both male and female rodents.