An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security.

In recent times, there has been rapid growth of technologies that have enabled smart infrastructures-IoT-powered smart grids, cities, and healthcare systems. But these resource-constrained IoT devices cannot be protected by existing security mechanisms against emerging cyber threats. The aim of the paper is to present an improved security for smart healthcare IoT systems by developing an architecture for IADCL.

The MR1/MAIT cell axis enhances dystrophic neurite development in Alzheimer's disease.

Introduction: Plaques are a hallmark feature of Alzheimer's disease (AD). We found that the loss of mucosal-associated invariant T (MAIT) cells and their antigen-presenting molecule MR1 caused a delay in plaque pathology development in AD mouse models. However, it remains unknown how this axis is impacting dystrophic neurites.

MCP5, a methyl-accepting chemotaxis protein regulated by both the Hk1-Rrp1 and Rrp2-RpoN-RpoS pathways, is required for the immune evasion of Borrelia burgdorferi.

Borrelia (or Borreliella) burgdorferi, the causative agent of Lyme disease, is a motile and invasive zoonotic pathogen adept at navigating between its arthropod vector and mammalian host. While motility and chemotaxis are well known to be essential for its enzootic cycle, the role of each methyl-accepting chemotaxis proteins (MCPs) in the infectious cycle of B. burgdorferi remains unclear.

Evaluation of Tridax procumbens Secondary Metabolites Anti-Tuberculosis Activity by In Vitro and In Silico Methods.

Mycobacterium tuberculosis is a human pathogen that causes Tuberculosis (TB) disease. Researchers have reported the activity of traditional medicinal plants against human pathogens. However, antimycobacterial studies of medicinal plants against M.