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University of Texas at Austin


Deep learning for new protein design

Deep learning methods significantly improved protein design success rates by 10-fold using AI-augmented pipelines and machine learning software tools AlphaFold 2 and RoseTTA fold. The study successfully generated accurate models of protein structures, paving the way for new discoveries in fields like cancer and COVID-19 research.

SourceUniversity of Texas at Austin·JournalNature Communications·TypeComputational simulation/modeling·DateAug 3, 2023

Investors want better climate risk disclosure

A study by researchers at the University of Texas at Austin found that institutional investors demand disclosure of climate risk due to its impact on a company's health and performance. The survey of 439 institutional investors showed that mandatory disclosure has an effect on investors' decisions.

SourceUniversity of Texas at Austin·JournalReview of Financial Studies·TypeObservational study·DateJul 26, 2023

New radar technique lets scientists probe invisible ice sheet region on Earth and icy worlds

Scientists have developed a new radar technique that can image hidden features within the upper few feet of ice sheets, including melting glaciers on Earth and potentially habitable environments on Jupiter's moon Europa. The technique boosts resolution by combining two different radar bandwidths and looking for discrepancies.

SourceUniversity of Texas at Austin·JournalThe Cryosphere·TypeImaging analysis·DateJul 12, 2023

Study shines light on why companies use a variety of dark money strategies

Researchers found that companies use a variety of strategies to hide their political activities, including those below the surface not observable by public, according to McCombs School of Business Associate Professor Tim Werner. The study provides insight into corporate decision-making and can inform policies related to transparency

SourceUniversity of Texas at Austin·JournalAcademy of Management Review·TypeComputational simulation/modeling·DateJul 5, 2023

Internal job candidates have a leg up

A new study from the University of Texas at Austin found that internal job candidates are more likely to be promoted, even if they're less qualified than external candidates. The research showed that managers prefer to reward past effort and perceive it as a 'gift' that should be reciprocated.

SourceUniversity of Texas at Austin·JournalJournal of Accounting Research·TypeExperimental study·DateMay 25, 2023

Seeing electron orbital signatures

Researchers have directly observed the signatures of electron orbitals in two different transition-metal atoms, iron and cobalt, using atomic force microscopy. The study validated that the observed experimental differences primarily stem from the different electronic configurations in 3d electrons near the Fermi level.

SourceUniversity of Texas at Austin·JournalNature Communications·TypeExperimental study·DateMay 15, 2023

Acquisitions can nix existing partnerships

A new study found that acquisitions in the biopharmaceutical industry can disrupt trust and knowledge exchange routines between companies, leading to a higher risk of alliance termination. The odds of termination for exposed alliances are 11% greater than for unexposed ones.

SourceUniversity of Texas at Austin·JournalStrategic Management Journal·TypeObservational study·DateMar 24, 2023

Urban gardens are good for ecosystems and humans

A new study from researchers at the University of Texas at Austin found that community gardens and urban farms support incredibly high levels of plant and animal biodiversity. These gardens also provide numerous ecosystem services, including pollination, carbon sequestration, and food production, while increasing human well-being.

SourceUniversity of Texas at Austin·JournalEcology Letters·TypeObservational study·DateFeb 13, 2023

Algorithms for hiring: Bias in, bias out

Researchers tested three common techniques to make algorithms fairer and found that one approach didn't reduce social norm bias at all. They proposed a new technique: a formula to directly measure social norm bias in an algorithm so it can be corrected. This bias can persist even after overt discrimination is removed.

SourceUniversity of Texas at Austin·JournalData Mining and Knowledge Discovery·TypeData/statistical analysis·DateFeb 8, 2023

Don’t complain to these co-workers

Research finds speaking up to competent managers leads to a 12%-15% increase in sales performance, while speaking sideways to peers decreases performance by 10%. Employees should critically assess who they direct their voice to when proposing changes.

SourceUniversity of Texas at Austin·JournalOrganization Science·TypeObservational study·DateFeb 6, 2023

Loss of reptiles poses threat for small islands where humans may have caused extinctions

A University of Texas at Austin paleobiologist's new examination reveals the serious impact of reptile extinctions on island ecosystems. The study found that smaller islands lack a buffer when losing reptile species, leading to reduced ecosystem stability and increased vulnerability to collapse.

SourceUniversity of Texas at Austin·JournalProceedings of the National Academy of Sciences·TypeObservational study·DateFeb 6, 2023