Impact of H37Rv Infection on Extracellular Vesicle Cargo in Macrophages: Implications for Host-Pathogen Interaction.

Tuberculosis (TB) is one of the most common respiratory infections worldwide, and it is caused by (). employs immune evasion mechanisms that allow the disease to become chronic. Despite extensive research, the host-pathogen interaction remains incompletely understood.

Mapping employment dynamics in public agencies with payroll data: A methodological framework with an application to Chile.

This study introduces a novel, replicable methodology for analyzing employment dynamics within public sector agencies, focusing on turnover and staff longevity. The methodology is designed to be generalizable and applicable to diverse national contexts where detailed administrative data is available. Using payroll data from over 325,000 Chilean civil servants (2006-2020), we apply mixed-effects Cox survival models and linear mixed models to examine patterns of employment stability across state agencies.

Topological confinement by a membrane anchor suppresses phase separation into protein aggregates: Implications for prion diseases.

Protein misfolding and aggregation are a hallmark of various neurodegenerative disorders. However, the underlying mechanisms driving protein misfolding in the cellular context are incompletely understood. Here, we show that the two-dimensional confinement imposed by a membrane anchor stabilizes the native protein conformation and suppresses liquid-liquid phase separation (LLPS) and protein aggregation.

Leak detection and localization in water distribution systems via multilayer networks.

The continuous increase of water distribution networks (WDNs) in size and complexity poses significant management challenges, including a high risk of failures. Due to the intrinsic interconnected feature of water flow, including losses, this study proposes a methodology based on graph correlation and multilayer network analysis for leak detection and localization in WDNs with multiple components (infrastructure, control devices, hydraulic sensors). The detection process involves correlating monitored data to create a temporal graph and classify vertices.