This article introduces an innovative approach that utilizes machine learning (ML) to address the computational challenges of accurate atomistic simulations in materials science. Focusing on the field of molecular dynamics (MD), which offers insight into material behavior at the atomic level, the study demonstrates the potential of trained artificial neural networks (tANNs) as surrogate models. These tANNs capture complex patterns from built datasets, enabling fast and accurate predictions of material properties.
View Article and Find Full Text PDFBackground: Multisystem inflammatory syndrome in children (MIS-C) involves multiple organs and shows increased inflammatory markers. Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, several studies have reported the association between severe COVID-19 and MIS-C. Reversible cerebral vasoconstriction syndrome (RCVS) presents with thunderclap headaches and multifocal reversible vasoconstriction on imaging.
View Article and Find Full Text PDFEnvironmental exposure to diesel particulate matter and commercial gasoline in gas station workers might induce oxidative stress and changes in the balance of the immune system. In this study, the immunomodulatory impacts of omega 3 fatty acid (ω3FA) supplement were assessed on inflammatory and anti-inflammatory markers in gas station workers in a double-blind placebo-controlled clinical trial. Fifty-three men working in gas stations were treated with ω3FA ( = 29) or placebo ( = 24) for 60 days.
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