Local DEA app: Saving lives with accessible and well-located automated external defibrillators.

Purpose: Developing technological solutions to reduce care delay and mortality in out-of-hospital cardiac arrest (OHCA) cases is a challenge both in Brazil and worldwide. The aim of this study was to develop and validate a geolocation application for locating automated external defibrillators (AEDs) in the urban area of a medium-sized city in southern Brazil.

Methods: A mobile application was developed to locate AEDs in public places, indicating the best route to the nearest AED with an intuitive design for emergency use.

Cellulose-Derived Battery Separators: A Minireview on Advances Towards Environmental Sustainability.

Cellulose-derived battery separators have emerged as a viable sustainable alternative to conventional synthetic materials like polypropylene and polyethylene. Sourced from renewable and biodegradable materials, cellulose derivatives-such as nanofibers, nanocrystals, cellulose acetate, bacterial cellulose, and regenerated cellulose-exhibit a reduced environmental footprint while enhancing battery safety and performance. One of the key advantages of cellulose is its ability to act as a hybrid separator, using its unique properties to improve the performance and durability of battery systems.

Multiple dimensions approach in polysubstance use: An ESEM analysis based on the RDoC framework.

Substance use disorders (SUD) are associated with cognitive alterations, influenced by genetic, neurodevelopmental, and environmental factors, and frequently co-occur with emotional disorders, complicating treatment strategies. Employing the Research Domain Criteria (RDoC) framework and Exploratory Structural Equation Modeling (ESEM), this study investigated the direct and indirect relationships between drug abuse, neurocognitive performance, emotional indicators, and structural changes in brain regions implicated in emotional regulation and executive functions in SUD patients and healthy controls. High-resolution magnetic resonance imaging (MRI) scans were acquired from patients with SUD (n=50) and healthy controls (HC=50).