EXTREME LEARNING MACHINE APPROACH TO MODELING THE SUPERCONDUCTING CRITICAL TEMPERATURE OF DOPED MGB2 SUPERCONDUCTOR

Extreme Learning Machine Approach to Modeling the Superconducting Critical Temperature of Doped MgB2 Superconductor

Magnesium diboride (MgB2) superconductor combines many unique features such as transparency of its grain boundaries to super-current flow, large coherence length, absence of weak links and small anisotropy.Doping is one of the mechanisms for enhancing these features, as well as the superconducting critical temperature, of the compound.During the pr

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Multiple-omics analysis of aggrephagy-related cellular patterns and development of an aggrephagy-related signature for hepatocellular carcinoma

Abstract Background Protein aggrephagy, a selected autophagy process response for degrading protein aggregates, plays a critical role in various cancers.However, its regulatory mechanisms and clinical implications in hepatocellular carcinoma (HCC) remain largely unexplored.Methods We integrated bulk RNA-seq data from TCGA and single-cell RNA sequen

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Mechanistic insights into zearalenone-accelerated colorectal cancer in mice using integrative multi-omics approaches

Zearalenone (ZEA), a secondary metabolite of Fusarium fungi found in cereal-based foods, promotes the growth of colon, breast, and prostate cancer cells in vitro.However, the lack of Optrel PAPR Accessories and Consumables animal studies hinders a deeper mechanistic understanding of the cancer-promoting effects of ZEA.This study aimed to determine

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