Rapid and accurate predictions of perfect and defective material properties in atomistic simulation using the power of 3D CNN-based trained artificial neural networks.

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. The article highlights the application of 3D convolutional neural networks (CNNs) to incorporate atomistic details and defects in predictions, a significant advancement compared to current 2D image-based, or descriptor-based methods. Through a dataset of atomistic structures and MD simulations, the trained 3D CNN achieves impressive accuracy, predicting material properties with a root-mean-square error below 0.65 GPa for the prediction of elastic constants and a speed-up of approximately 185 to 2100 times compared to traditional MD simulations. This breakthrough promises to expedite materials design processes and facilitate scale-bridging in materials science, offering a new perspective on addressing computational demands in atomistic simulations.

Reversible Cerebral Vasoconstriction Syndrome and Multisystem Inflammatory Syndrome in Children With COVID-19.

BACKGROUND: 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. RCVS is very rare in children. This article reports two cases of pediatric COVID-19 with severe MIS-C and clinical and imaging features indicative of RCVS. METHODS: Clinical, laboratory, and imaging data of the patients were reviewed. The diagnosis of RCVS was confirmed based on clinical symptomatology and brain magnetic resonance imaging findings. RESULTS: Two pediatric patients with clinical findings compatible with severe MIS-C and hemodynamic compromise presented to the hospital. During their hospitalization course, they developed thunderclap headaches and neurological deficits. Both were receiving vasoactive agents, intravenous immunoglobulin, and immunosuppressants. Imaging studies showed marked multifocal cerebral vasoconstriction in both cases and infarcts in one. The course and management of the patients will be presented. After controlling inflammation and elimination of triggers, both patients were ultimately symptom free upon discharge. Cerebral vasoconstriction had completely resolved on follow-up imaging. CONCLUSIONS: Although a variety of symptoms including headaches may be seen in pediatric COVID-19 patients with MIS-C, RCVS should be considered as a differential diagnosis in cases of thunderclap headache accompanied by neurological signs in these patients. Imaging findings and follow-up are also key in establishing the diagnosis.

Omega 3 Supplementation Can Regulate Inflammatory States in Gas Station Workers: A Double-Blind Placebo-Controlled Clinical Trial.

Environmental 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 (n = 29) or placebo (n = 24) for 60 days. C-reactive protein, interleukin-12 (IL-12), transforming growth factor ß (TGF-ß), interferon γ (IFN-γ), tumor necrosis factor α, IL-10, and IL-17 levels were measured by enzyme-linked immunosorbent assay method before and after the completion of the trial. The concentrations of IFN-γ and IL-17 were significantly decreased in ω3FA group compared with the placebo group (P < 0.001). Moreover, the levels of inhibitory cytokines including TGF-ß and IL-10 significantly were increased in ω3FA group (P < 0.001). Overall, ω3FA nutritional supplementation can be useful in reducing inflammatory immune responses and maintaining immune tolerance in people with high exposure to inflammation-inducing factors. [Figure: see text].