EARTHQUAKE PROGNOSIS USING MACHINE LEARNING

Earthquake prognosis using machine learning

One of the deadliest and riskiest natural disasters is an earthquake.They often occur without a warning or any further alert.Therefore there was read more a need for its prognosis as it is extremely important for mankind as well as the environment.In this project, the successful application of machine learning techniques have been used for differen

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Effects of the upward-increasing gradient magnetic field on soot properties in ethylene inverse diffusion flames with different oxygen concentrations

The effects of the upward-increasing gradient magnetic field on soot properties are experimentally investigated in ethylene inverse diffusion flames with different oxygen concentrations.The soot morphology, nanostructure, graphitization degree, and oxidation reactivity are obtained by high-resolution transmission electron spectroscopy (HRTEM), X-ra

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Role of SH3GLB1 in the regulation of CD133 expression in GBM cells

Abstract Background Glioblastoma (GBM), a malignant brain tumor, has poor survival outcomes due to recurrence or drug resistance.We found that SH3GLB1 is a crucial factor for cells to evade temozolomide (TMZ) cytotoxicity through autophagy-mediated oxidative phosphorylation, which is associated with CD133 levels.Therefore, we propose that SH3GLB1 p

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