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Found in everything from space shuttles to dental fillings, composite materials have thoroughly infiltrated modern society. But their potential is still greatly untapped, offering researchers ample opportunity for discovery.
Within the particle showers created at the Large Hadron Collider, answers to some of the universe’s mysteries are waiting.
Model systems like pigeons can help illuminate our own evolutionary and genomic history.
UT Arlington's tiny windmills are bringing renewable energy to a whole new scale.
The stability of our highways, pipelines, and even manholes is reaching a breaking point.
Scientists believe they have discovered a subatomic particle that is crucial to understanding the universe.
UT Arlington researchers unlock clues to the human body’s most mysterious and complex organ.
UT Arlington researchers probe the hidden world of microbes in search of renewable energy sources.
Wounded soldiers are benefiting from Robert Gatchel’s program that combines physical rehabilitation with treatment for post-traumatic stress disorder.
Tiny sensors implanted in the body show promise in combating acid reflux disease, pain and other health problems.
Nanotechnology researchers pursue hybrid silicon chips with life-saving potential.
Biomedical engineers combat diseases with procedures that are painless to patients.
An innovative examination of Facebook, Twitter, and other social media websites could help combat terrorism, improve e-commerce, and even identify pharmaceutical side effects.
Computer science and engineering Professor Gautam Das received a $450,000 Army Research Office grant to develop efficient analytic techniques for combining and understanding the data stored in online social networks. He is searching for implicit edges, which connect two seemingly unrelated occurrences on a social media platform. (Explicit edges, in contrast, represent more obvious relationships, such as a user’s friends, followers, and contacts.)
“We are trying to determine which are the more promising directions to pursue when seeking hidden data,” explains Dr. Das, director of UT Arlington’s Database Exploration Laboratory. “We’ll look at who is acquainted or are followers of one person or another across a broad spectrum of social networks.”
Das is collaborating with Professor Nan Zhang of George Washington University. The hidden-access model they are creating enables the researchers to construct and understand virtual social networks built upon multiple Web data sources.
For example, from the view of an Army intelligence agency, a real-world social network formed by a group of suspected terrorists can be considered a virtual social network. This network does not reside on any single website, but instead leaves traces on a variety of Web data sources, like forums, exchanges on social media sites, and even comments on certain online articles.
According to College of Engineering Dean Khosrow Behbehani, the team’s work will also help expand UTA’s increasing expertise in the field of “big data.”
Illustration by john hersey
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