The University of Texas at Austin

Data-Driven Prediction of Speech-in-Noise Performance: A Systematic Review and Meta-analysis of Machine Learning Models

PURPOSE: Difficulty understanding speech in noise (SIN) is a major determinant of communication ability and quality of life, affecting individuals with hearing loss as well as some with normal hearing. Data-driven prediction methods offer a promising approach for modeling complex...

From protogalaxy through thick and thin: Why did the Milky Way evolve in three kinematic phases?

Abstract APOGEE and Gaia data suggest the Milky Way’s kinematic structure evolved through three distinct phases: a disordered protogalaxy, which ‘spun up’ into a thick stellar disk, and then ‘cooled down’ to a final cold, thin stellar disk. We use a suite of FIRE-2 cosmological z...

Transportation Use, Trip Taking, and Trip Purposes Among Older Adults Not in the Labor Force: Evidence From the 2022 National Household Travel Survey

Background Transportation needs may differ by labor-force participation status, yet little is known about travel behavior among older adults not in the labor force. Objective To examine alternative transportation use, trip taking, and trip purposes among older adults not in the l...

Information shock: how AI demands an evolution of information science

Purpose This paper argues that AI authoring is prompting an Information Shock and a new information science. The shock is not a matter of increased volume and variable quality of AI-produced information. It comes as generative AI creates a new kind of author that dissolves the do...

Tree Species Classification in a Madagascar Tropical Dry Forest Using Multi-Temporal UAV Multispectral Imagery and Machine Learning

Accurate tree species mapping in tropical dry forests remains challenging because strong seasonal phenological variation and spectral overlap can limit discrimination from single-date imagery. This study evaluated the integration of wet- and dry-season unoccupied aerial vehicle (...

Evaluating a Lightweight Neural Network for Aggregate Isotope Distribution Prediction

Abstract Isotope distribution prediction is an important part of mass spectrometry data analysis. A variety of strategies have been developed, including brute-force polynomial methods and Fourier-transform (FT) convolution methods. Here, we present a novel neural network (NN) app...

A Job Demands-Resources Perspective on Science Communication: How Public Engagement Shapes Scientist Communicators’ Well-Being

Scientists are increasingly expected to engage public audiences, yet little is known about how this work shapes their well-being. Drawing on semi-structured interviews with scientist communicators and guided by the Job Demands-Resources (JD-R) model, this study examines demands a...

Integrating smartrock and seismic monitoring to investigate bedload transport dynamics during rapid increase of stages in ephemeral streams

Abstract. Bedload transport dynamics during rapid increases of stage remain poorly constrained, particularly in ephemeral streams where such conditions are common. We combined two cutting-edge monitoring techniques – smartrocks and seismic measurements – to investigate bedload tr...

Mergers Fall Short: Nonmerger Channels Required for Galactic Heavy Element Production

Abstract Since the discovery of the binary neutron star merger GW170817 and its associated kilonova, neutron star mergers have been established as a key production channel for r -process elements in the Universe. However, multiple lines of evidence, including the observations of...

Information and communication technology innovations and labor hours: A business cycle analysis

Abstract This paper examines the impact of changes in information and communication technologies (ICTs) on skilled and unskilled labor at the business cycle frequency. To achieve this, we construct aggregate hours series for both labor groups using the monthly outgoing rotation g...

III-V Selective Area Growth by Molecular Beam Epitaxy for Integrated Quantum Systems and Applications

Abstract To realize practical quantum information processing systems with high fidelity, disparate materials and components must be integrated on a scalable, unified platform. Among these, III-V alloys with their widely tunable optical properties and advantageous transport proper...

Comparative population genomics reveal stark differences in the genomic structure and drivers of isolation for two sky island bumble bees

Abstract Genetic diversity is critical for species’ persistence and for preserving biodiversity. Regions with extreme elevation gradients, including ‘sky island’ systems, are predicted to restrict gene flow owing to dispersal barriers between high-elevation habitat patches (isola...

Strength in families: Parental resilience, marital dynamics, and adolescent anxiety and substance use

Abstract Drawing on Luthar’s relational framework of resilience, this study examines how parental resilience operates within marital dynamics to shape adolescent adjustment in Mexican-origin families. Using four waves of data from 604 families (M adolage = 12.41, SD = 0.97; 54.3%...

Intratumoral Immunotherapy—The Future of Treating Merkel Cell Carcinoma?

Merkel cell carcinoma (MCC) represents a rare but highly aggressive neuroendocrine skin cancer with limited systemic therapy options for patients who fail or are ineligible for immune checkpoint inhibitors (ICIs). Intratumoral (IT) immunotherapy has emerged as a promising strateg...

Multi-Parameter Viscoelastic Full Waveform Inversion (Q-FWI) for CO2 Saturation Monitoring: Leveraging Velocity and Attenuation Attributes

Abstract Monitoring injected CO2 saturation is critical for carbon capture and storage (CCS) projects, but its quantification remains challenging due to complex fluid-rock interactions and the subtle seismic signatures of partial saturation. Saturation analysis is an integral asp...

Integrating New Fields of Study into Professional Identity: A social identity and landscapes of practice lens

INTRODUCTION: The medical profession exists at the crossroads of many fields of study, including ethics, basic science, and communication. However, health professions students struggle with integrating new fields of study into their clinical practice and professional identities....

The role of retinal flow in walking

Both visual direction and optic flow have been implicated in walking toward a goal in experiments that use prisms to alter visual direction. However, prisms bias retinal flow patterns in ways that might affect the path chosen. We used a prism manipulation in virtual reality for g...

Mixture of Directed Graphical Models for Discrete Spatial Random Fields

Current approaches for modeling discrete-valued outcomes associated with spatially-dependent areal units incur computational and theoretical challenges, especially in the Bayesian setting when full posterior inference is desired. As an alternative, we propose a novel statistical...

Maintaining cognitive gains in type 2 diabetes: Barriers, supports, and patterns of strategy use

In this study, we report how adults with type 2 diabetes maintained cognitive strategies learned in the Memory, Attention, and Problem-Solving Skills for Diabetes (MAPSS-DM) intervention. We identify three patterns of strategy maintenance that emerged from follow-up interviews wi...

Supramolecular Polymerization of Triphenylamine[3]arenes for Switchable and Stimuli‐Responsive Chiroptical Properties

ABSTRACT The design of advanced photonic materials with integrated stimuli‐responsive properties remains coveted yet challenging. Herein, we demonstrate that chiral supramolecular assembly of triphenylamine[3]arenes (TPA[3]s) offers an efficient and modular solution to address th...