GABA, or gamma-aminobutyric acid, is an amino acid functioning as the principal inhibitory neurotransmitter that can act on the brain to slow or stop the reception of certain signals to the brain, leading to a calmer and more relaxed state. Low GABA levels in the brain have been associated with neurological disorders and diseases like depression, Alzheimer's or epilepsy. Recently, there has been a push towards understanding more about the gut’s influence on mood, behavior and mental health, as well as what foods might fuel or hinder a healthy mind. Researchers set to work on determining whether brain GABA levels can be increased through dietary additions with the aim of modulating the gut bacteria present in an individual to bypass the blood-brain barrier, a barrier in which it is not proven yet GABA can pass through.

SAN ANTONIO — July 1, 2025 —Southwest Research Institute (SwRI) and The University of Texas at San Antonio (UTSA) will receive a $500,000 award from NASA’s TechLeap Prize program to flight test novel electrolyzer technology designed to improve the production of propellants and life-support compounds on the Moon, Mars or near-Earth asteroids. The project, known as the Mars Atmospheric Reactor for Synthesis of Consumables (MARS-C), is led by SwRI’s Kevin Supak and Dr. Eugene Hoffman and UTSA’s Dr. Shrihari “Shri” Sankarasubramanian.

As global airspace regulations evolve and drone usage surges, accurately tracking multiple UAVs in dynamic swarm formations has become a pressing challenge for aerial safety, urban air mobility, and counter-drone operations. A research team from Beijing Institute of Technology has developed a novel visual tracking framework that significantly improves the identification and tracking of visually similar drones with nonlinear motion in air-to-air scenarios. Their work marks a major step toward scalable, intelligent swarm drone monitoring in real-world applications.

With the increasing focus on the pursuit-evasion game, the guidance law capturability analysis has been widely studied recently to theoretically assess the performance of different guidance laws and reveal the impact of the physical constraints on capture zones. In a recent study, the capture zones of the continuous and pulsed guidance laws in the pursuit-evasion game are analytically discussed to provide deep insights into the capturability distinction between the continuous guidance law and the pulsed guidance law.

Moving mesh adaptation provides optimal resource allocation to computational fluid dynamics for the capture of different key physical features, i.e., high-resolution flow field solutions on low-resolution meshes. Although many moving mesh methods are available, they require artificial experience as well as computation of a posteriori information about the flow field, which poses a significant challenge for practical applications. Para2Mesh uses a double-diffusion framework to accomplish accurate flow field reconstruction through iterative denoising to provide flow field features as supervised information for fast and reliable mesh movement, thus enabling adaptive mesh prediction from design parameters.

Aircraft safety faces a critical challenge: “stall,” where wings lose lift at high angles, risking crashes. Researchers from the Civil Aviation University of China have developed a bio-inspired solution—microscopic herringbone grooves mimicking bird feathers—that delays stalls by 28.57%. This passive, low-cost technology reduces flow separation on wings, outperforming traditional methods while minimizing drag.