MULTIDIMENSIONAL ASSESSMENT OF THE AESTHETIC QUALITY OF NATURAL LANDSCAPES IN MOUNT WUYI NATIONAL PARK, CHINA



Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling

In the present work, machine learning (ML) was employed to build a model, and through it, the microstructural features (parameters) affecting the stress concentration (SC) during plastic deformation of magnesium (Mg)-based materials are determined.As a descriptor for the SC, the kernel average misorientation (KAM) was used, and starting from the mi

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A Novel Method with Dilute Surfactant Flooding by Considering the Effect of Time and Temperature on Crude Oil Aging, Experimental Study on Heavy Oil of Bangestan

Wettability alteration has been a sophisticated issue for scientists and reservoir engineers since early 20th century; thus, many investigations have been carried out to determine wettability and enhance it to ideal conditions, which leads to improvement Salt in oil recovery.Dilute surfactant flooding has been approved as one of the noteworthy meth

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Reversible Regulation of Cell Cycle-Related Genes by Epigallocatechin Gallate for Hibernation of Neonatal Human Tarsal Fibroblasts

We investigated the hibernation effect of epigallocatechin-3- O -gallate (EGCG) on neonatal human tarsal fibroblasts (nHTFs) by analyzing the expression of cell cycle-related genes.EGCG application to culture media moderately inhibited the growth of nHTFs, and the removal of EGCG from culture media led to complete recovery of cell growth.EGCG resul

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