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University of Texas at San Antonio


UTSA collaborative study with DoD and VA aims to heighten awareness, improve care for veterans with traumatic brain injury

A UTSA-led study found that post-9/11 military veterans with traumatic brain injury (TBI) are at higher risk of chronic disease, mortality, and mental health issues compared to the general population. The study estimates excess deaths among a large cohort of veterans and highlights the need for better methods of intervening.

SourceUniversity of Texas at San Antonio·JournalJournal of the American Medical Association·DateFeb 17, 2022

UTSA develops model to understand how a city’s design creates congestion

The UTSA-Glasgow model analyzed nearly 100 American cities to understand the relationship between city design and traffic congestion. It found that high-intensity urban land use and polycentric city shapes are associated with higher levels of congestion, supporting the long-held belief that traffic congestion is tied to urbanization.

SourceUniversity of Texas at San Antonio·JournalComputers Environment and Urban Systems·TypeData/statistical analysis·DateSep 22, 2021

University professor helps make breakthrough achievement in quantum computing

A UTSA researcher has developed a theory behind the record-setting experiment, which demonstrates the most accurate entangling gate without lasers. This achievement enables more cost-effective and easier-to-use quantum computers, with potential applications in fields such as science, engineering, and finance.

SourceUniversity of Texas at San Antonio·JournalNature·TypeComputational simulation/modeling·DateSep 9, 2021

UTSA research team makes breakthrough discovery on brain cortex functionality

A team of UTSA researchers discovered long-range parvalbumin-expression neurons from the cortex to the striatum in mouse brains, challenging the exclusive local organization of cortical circuit neurons. This finding could lead to new treatments for epilepsy, PTSD, schizophrenia, and other mental conditions involving GABAergic neurons.

SourceUniversity of Texas at San Antonio·JournalFrontiers in Neural Circuits·DateNov 11, 2020

Researcher builds solution to work-from-home cloud-computing 'storms'

A computer science researcher has developed an algorithm called Orchestra that reduces spikes in resource demands in cloud computing, allowing companies to maintain smooth operations despite increased work-from-home usage. The solution uses lightweight monitoring and performance-based models to adjust cloud resources in real-time.

SourceUniversity of Texas at San Antonio·JournalIEEE Transactions on Cloud Computing·DateJun 16, 2020