Atomistic models regarding dislocation range of motion inside refractory high-entropy metals and also the aftereffect of compound short-range get. Furthermore, the findings are robust to various robustness checks that we have performed for checking the reliability of our main findings. This study also offers some useful policy implications to the stakeholder in general and specifically concerning the GCC countries for promoting their environmental sustainability.Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and mankind all over the world is vulnerable to this virus. Alternative tools are needed that can help in diagnosis of the coronavirus. Researchers of this article investigated the potential of machine learning methods for automatic diagnosis of corona virus with high accuracy from X-ray images. Two most commonly used classifiers were selected logistic regression (LR) and convolutional neural networks (CNN). The main reason was to make the system fast and efficient. Moreover, a dimensionality reduction approach was also investigated based on principal component analysis (PCA) to further speed up the learning process and improve the classification accuracy by selecting the highly discriminate features. The deep learning-based methods demand large amount of training samples compared to conventional approaches, yet adequate amount of labelled training samples was not available for COVID-19 X-ray images. Therefore, data augmentation technique using generative adversarial network (GAN) was employed to further increase the training samples and reduce the overfitting problem. We used the online available dataset and incorporated GAN to have 500 X-ray images in total for this study. Both CNN and LR showed encouraging results for COVID-19 patient identification. The LR and CNN models showed 95.2-97.6% overall accuracy without PCA and 97.6-100% with PCA for positive cases identification, respectively.The aim of this study is to explore whether the single nucleotide polymorphism rs2275294 in the ZNF512B gene is related to the length of survival of patients with amyotrophic lateral sclerosis (ALS). This prospective study examined 212 patients with ALS, who were genotyped at the rs2275294 locus in ZNF512B using the ligase method. Genotype was compared with clinical data and survival. Kaplan-Meier survival analysis and Cox hazard regression were used to identify risk factors of shorter survival. Our results were meta-analyzed together with previous work in order to examine the potential association between the rs2275294-C allele and survival. Of the 212 patients, 166 carried the CC + CT genotype at the rs2275294 locus, while 46 carried the TT genotype. Patients with the C allele showed significantly shorter survival than those without it (34.13 ± 1.9 vs. 45.32 ± 5.7 months, p = 0.036). Cox analysis identified the C allele and time from symptom onset to diagnosis as risk factors for shorter survival. Meta-analysis of 447 patients in China and Japan confirmed the rs2275294-C allele to be an independent risk factor of shorter survival in ALS patients. The C allele at the rs2275294 locus in ZNF512B is a risk factor for shorter survival in patients with ALS.We have previously shown that the expression of nicotinamide N-methyltransferase (NNMT) is significantly increased in the brains of patients who have died of Parkinson's disease (PD). this website In this study, we have compared the expression of NNMT in post-mortem medial temporal lobe, hippocampus and cerebellum of 10 Alzheimer's disease (AD) and 9 non-disease control subjects using a combination of quantitative Western blotting, immunohistochemistry and dual-label confocal microscopy coupled with quantitative analysis of colocalisation. NNMT was detected as a single protein of 29 kDa in both AD and non-disease control brains, which was significantly increased in AD medial temporal lobe compared to non-disease controls (7.5-fold, P  less then  0.026). this website There was no significant difference in expression in the cerebellum (P = 0.91). NNMT expression in AD medial temporal lobe and hippocampus was present in cholinergic neurones with no glial localisation. Cell-type expression was identical in both non-disease control and AD tissues. These results are the first to show, in a proof-of-concept study using a small patient cohort, that NNMT protein expression is increased in the AD brain and is present in neurones which degenerate in AD. These results suggest that the elevation of NNMT may be a common feature of many neurodegenerative diseases. Confirmation of this overexpression using a larger AD patient cohort will drive the future development of NNMT-targetting therapeutics which may slow or stop the disease pathogenesis, in contrast to current therapies which solely address AD symptoms.Ethanol consumption during pregnancy or lactation period can induce permanent damage to the development of the central nervous system (CNS), resulting in fetal alcohol spectrum disorders (FASD). CNS development depends on proper neural cells and blood vessel (BV) development and blood-brain barrier (BBB) establishment; however, little is known about how ethanol affects these events. Here, we investigated the impact of ethanol exposure to endothelial cells (ECs) function and to ECs interaction with astrocytes in the context of BBB establishment. Cerebral cortex of newborn mice exposed in utero to ethanol (FASD model) presented a hypervascularized phenotype, revealed by augmented vessel density, length, and branch points. Further, aberrant distribution of the tight junction ZO-1 protein along BVs and increased rates of perivascular astrocytic endfeet around BVs were observed. In vitro exposure of human brain microcapillary ECs (HBMEC) to ethanol significantly disrupted ZO-1 distribution, decreased Claudin-5 and GLUT-1 expression and impaired glucose uptake, and increased nitric oxide secretion. These events were accompanied by upregulation of angiogenesis-related secreted proteins by ECs in response to ethanol exposure. Treatment of cortical astrocytes with conditioned medium (CM) from ethanol exposed ECs, upregulated astrocyte's expression of GFAP, Cx43, and Lipocalin-2 genes, as well as the pro-inflammatory genes, IL-1beta, IL-6, and TNF-alpha, which was accompanied by NF-kappa B protein nuclear accumulation. Our findings suggest that ethanol triggers a dysfunctional phenotype in brain ECs, leading to impairment of cortical vascular network formation, and promotes ECs-induced astrocyte dysfunction, which could dramatically affect BBB establishment in the developing brain.