UTA professor Paul Fadel receives a four-year NIH grant to study high sympathetic nerve activity in patients with chronic kidney disease and its link to ADMA, a natural occurring chemical in the body. The goal is to develop a treatment to lower sympathetic nerve activity and prevent dialysis, improving patient outcomes.
Researchers have created a safer and more efficient water-based system for synthesizing organic compounds, reducing reliance on volatile organic solvents and improving environmental sustainability. The new process also produces higher yields of product and allows for easy separation and extraction of the final compound.
A recent study published in Housing Policy Debate journal assesses the impact of transportation costs on subsidized housing affordability. The research reveals that many affordable housing units in locations without public transportation have residents spending over 15% of their income on transportation costs.
The project aims to integrate public health performance measures into the North Texas Council of Governments' regional transportation plan, considering factors like safety, air quality, and physical activity. The research will inform transportation decisions that enhance livability and community development.
African-American adults are at higher risk of developing hypertension, with nearly half being at risk. Researchers from UTA aim to understand the underlying mechanisms and develop treatment strategies to combat hypertension.
A team of UTA engineering and business school graduates has designed a Build-Teach-Play Robots package to stimulate STEM learning in kindergarten through 12th grades. The project aims to expose students to pathways in science, technology, math and engineering fields.
Ioannis Schizas is creating a sensing environment that uses simple devices to process data previously requiring a supercomputer. The network can be applied to surveillance, defense, healthcare, and environmental monitoring applications.
Ankur Jain, an assistant professor at UTA, has received a five-year, $500,000 NSF CAREER grant to develop a fundamental understanding of thermal transport in Li-ion batteries. His goal is to improve the safety and efficiency of these batteries for widespread applications.
Researchers at The University of Texas at Arlington found that stable environments like constant predator threats induce trans-generational responses in offspring. Water fleas from populations experiencing intense predation developed faster to enhance survival rates in future generations.
A University of Texas at Arlington engineer is developing a computational model to measure how and when battlefield blasts can cause devastating damage to neurons in the brain. The research aims to quantify the effects of blasts on brain cells, providing new insight into brain injuries caused by combat scenarios.
Researchers from UTARI and Pitt are developing an automated seat cushion to prevent pressure ulcers in wheelchair users. The smart seat cushion technology includes real-time pressure monitoring and automated pressure modulation capabilities to alleviate pressure buildup and discomfort.
Dr. Yi Hong's research aims to create flexible, conductive, and biodegradable elastomers for biomedical applications like tissue repair. His technology has the potential to expand beyond biomedical fields into biodegradable electronics and wearable electronics.
UTA researchers have developed a new hybrid material that demonstrates improved efficiency, safety, and cost-effectiveness in solar fuel generation. The material uses ultra-long carbon nanotube networks with copper oxide nanoparticles, generating five-fold higher electrical conductivity and three-fold increase in photocurrents.
Assistant Professor Yuze Sun is developing an all-liquid optofluidic laser for cancer detection and other biosensing applications. The laser's adaptive nature achieves high-precision tuning, making it biocompatible and bioconfigurable.
Researchers at UTA are using ultra-thin semiconductor lasers to create more efficient and power-consumption systems for computers and data centers. The technology has the potential to be applied in various fields, including medicine and consumer electronics, enabling devices with increased speed, bandwidth, and capabilities.
Researchers at UTA are designing safer cryotherapy devices to reduce nerve and tissue damage caused by extreme cold therapy. They will also investigate the physiological mechanisms behind blood flow reductions and develop new devices for precise treatment.
Researchers are mining existing landfills to recycle materials and convert them into energy, boosting methane production. This approach could extend a landfill's lifespan from 25-30 years to over 150 years, reducing the need for new landfills in urban areas.
Biochemists at UTA are mapping sulfur-oxidizing enzyme catalytic processes to improve understanding of chemical imbalances in autism, Alzheimer's disease and Down syndrome. The team aims to develop effective therapies and drugs for these conditions.
The University of Texas at Arlington's TxLTAP program provides technical assistance and workforce training in transportation, addressing rural areas with inadequate roads and expertise. The program offers free courses on roadway maintenance, heavy equipment operations, and employee development skills to local governments.
Researchers aim to understand how blast shockwaves injure brain tissue, despite symptoms often going undetected by scans. The project may lead to new clinical strategies for treating traumatic brain injuries suffered in battle.
Researchers at UTA have developed a new, personalized respiratory-motion system that captures images of the lung when it is depressed, providing clearer and more precise images of tumors. This technology promises to lead to improved and more precise radiation therapy for lung cancer patients.
Researchers at UTA have developed a new platform that uses ultrafast near-infrared lasers to deliver gene therapy to damaged areas of the retina, enabling vision restoration in patients with macular degeneration. The laser-based method has been shown to be more effective than traditional chemical gene delivery systems.
A new study from UTA explores the motivations behind adult learners' decision to pursue an engineering degree. Adult learners aged 25 and older are driven by perceived prestige and high career goals, including graduate school or internships. The study offers recommendations for campus policies and practices to support these students.
Researchers at UTA are analyzing the energy entering the upper atmosphere following space weather events to refine models used for satellite trajectory forecasting. Current estimates can be off by as much as 100%, resulting in an error of up to 30% in tracking satellites.
University of Texas at Arlington engineer Jeff Lei has received a $375,000 grant to develop combinatorial testing techniques for big data software. This will enable developers to efficiently test large datasets, reducing the likelihood of bugs and improving software reliability.
Researchers at UTA are working with North Central Texas Council of Governments to determine the optimal toll price for managed lanes. They will use survey data and video traffic volume data to make recommendations about toll charges that encourage efficient use without increasing congestion, enabling speed of at least 50 mph.
Researchers at UTA are developing an integrated decision support tool to optimize water supply systems, allowing water providers to make informed decisions about when to transfer water between reservoirs. The Hydrologic Ensemble Forecast System will provide a range of possible values for cost-effective decisions.
A new study by researchers at the University of Texas at Arlington found that straight women place more trust in gay men's dating advice due to fewer ulterior motives. Women are also more likely to form close friendships with gay men in competitive dating environments.
Kyungsuk Yum, a UTA researcher, is developing an injectable nanoscale device that continuously monitors blood glucose levels and transmits readings to a scanner. This innovation has the potential to transform diabetes management, providing a more accurate and pain-free alternative to current methods.
A University of Texas at Arlington engineer is co-leading a team to develop tools that can convert temperature changes into electrical energy. The goal is to create energy-harvesting microdevices for sensing systems and other applications, which could have a widespread impact on meeting the global energy challenge.
Researchers at the University of Texas at Arlington are using formal, methods-based testing to automatically discover bugs in development environments for cyber-physical systems. The technique, known as randomized differential testing, generates random programs and models, then translates and compiles them to identify defects.
Cyber-physical systems, such as automobiles and medical devices, can fail due to unforeseen requirements made between software and physical components. Dr. Taylor T. Johnson's research aims to automate the identification of these mismatches using formal methods, enabling safe upgrades with limited financial or safety concerns.
Researchers at UTA are exploring polyculture planting, which uses timesharing strategies to allow multiple species to coexist and grow together. This approach provides benefits such as increased oxygen production and diversity of insect species, leading to a more sustainable ecological environment.
Researchers at UTA are using a next-generation positron beam facility to investigate the properties of graphene, a versatile pure carbon material 200 times stronger than steel. The team is analyzing the microscopic interaction of graphene with other materials to translate its exceptional properties into real-life applications.
The University of Texas at Arlington has developed a sensing and therapeutic tool called the SMART bandage, which can monitor and cure wounds in real-time. This innovative technology will help doctors and healthcare workers better treat patients' complex wounds more quickly and effectively.
A $250,000 grant from the National Institute on Aging will help researchers at UTA and Ohio State University study the molecular mechanisms of muscle aging. The study aims to discover new ways to keep muscle function optimal during aging, potentially leading to treatments for age-related muscle loss.
Dr. Kaushik De has been recognized for his contributions to developing cloud computing architectures that enabled global collaboration in particle physics research. He is also exploring physics beyond the standard model, seeking new discoveries in the field.
A new app will automatically create a mobile-friendly website where one does not exist, saving time and frustration. Using deep web mining, the app taps into databases behind websites to provide seamless access.
Researchers are developing a healing glove that delivers medicine to injured hands and speeds up healing, allowing for earlier rehabilitation. The REHEAL Glove provides positive pressure wound therapy, delivering therapeutics and controlling the wound environment for better and faster healing.
David Nygren, a renowned physicist at UTA, has been awarded the Division of Particles and Fields Instrumentation Award for his pioneering work on the Time Projection Chamber. This technology has enabled accurate capture of results in high-energy particle collisions, leading to breakthroughs in particle detection and discovery.
A UT Arlington researcher is developing a comprehensive framework to analyze North Texas dams and detect damage from seismic activity. The framework will use geo-statistics and three key indicators of damage caused by earthquakes, including liquefaction, dynamic slope stability, and lateral spreading.
The University of Texas at Arlington will build a unique, arc-heated wind tunnel to study heat shield materials for hypersonic vehicles and spacecraft. The $1.01 million grant will enable researchers to create high-temperature flows and test new thermal protection systems.
A University of Texas at Arlington professor will analyze complex data using imaging genomics to identify biomarkers predicting Alzheimer's disease risk. He aims to develop advanced algorithms to study the brain, incorporating biological knowledge into data sets.
A new study by UT Arlington researchers recommends that primary care providers screen teenagers for depression and suicide risk during well visits. The paper highlights the importance of screening tools, such as the Patient Health Questionnaire for Adolescents (PHQ-A), to detect mental health conditions like depression and anxiety.
A UT Arlington computer scientist is developing novel software engineering methods to detect and mitigate unsafe cyber-physical upgrades in the energy domain. The research aims to create more reliable and safer systems, easing the verification and validation process for software and systems engineers.
Researchers at UT Arlington are developing a hybrid software/hardware approach to create highly accurate models of electric motors. The new method aims to reduce the time and expense of modeling prototypes by speeding up model simulations by as much as 1 million times, making it easier to create more efficient motors.
A new robotic nurse is being developed at the University of Texas at Arlington to assist nurses with daily tasks, such as walking patients and monitoring their safety. The robot aims to improve patient care, reduce workplace injuries, and increase productivity for healthcare providers.
Hispanics struggle with depression, but cultural concerns and stigma hinder seeking care. A new project uses a culturally sensitive comic-book style education tool to overcome barriers and encourage treatment.
The University of Texas at Arlington has partnered with over 20 companies and an industry council to create two masonry schools addressing a shortage of skilled bricklayers. The eight-week accelerated discipline program will train individuals in brick and concrete masonry unit construction, leading to better job prospects.
A University of Texas at Arlington engineer has developed a way to program robots using observation and feedback. Robots will learn the function of a task, rather than just replicating motions, allowing them to achieve the same outcome without human intervention.