BEFORE AND BEYOND COVID-19: THE INTERPLAY OF CORRUPTION, LOGISTICS, AND ECONOMIC GROWTH IN THE EU THROUGH THE RBV LENS

Before and Beyond COVID-19: The Interplay of Corruption, Logistics, and Economic Growth in the EU through the RBV Lens

This study explores the complex interplay between corruption, Horse Neck Rugs economic growth, and logistics performance in EU nations, utilizing a mixed-method approach and data from pre- and post-pandemic periods.Applying the Resource-Based View (RBV) and Qualitative Comparative Analysis (QCA), it identifies critical conditions impacting GDP grow

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ZEB2 stably represses RAB25 expression through epigenetic regulation by SIRT1 and DNMTs during epithelial-to-mesenchymal transition

Abstract Background Epithelial mesenchymal transition (EMT) is tightly regulated by a network of transcription factors (EMT-TFs).Among them is the nuclear factor ZEB2, a member of the zinc-finger E-box binding homeobox family.ZEB2 nuclear localization has been identified in several cancer types, and its overexpression is correlated with the maligna

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Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma

Abstract Background A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that have hitherto been reported are challenged with low reproducibility due to high molecular heterogeneity of ESCC.The purpose of this study was to identify the optimal biomarkers for ESCC using machine learning algorithms.Methods Swaddle Biomark

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