Georgia Institute of Technology

Saddlepoint approximations for plug-in resampling

Abstract Resampling-based procedures can improve on normal approximations in sparse, large-scale testing problems, but their computational cost can be prohibitive. We recognize that several existing procedures belong to a faster plug-in resampling subclass, fixing fitted nuisance...

Who Gains from creative destruction? Evidence from high-quality entrepreneurship in the United States

The question of who gains from high-quality entrepreneurship is crucial to understanding whether investments in innovative startup firms produce socially beneficial outcomes. Although entrepreneurship is widely viewed as a central driver of economic growth, recent research has ra...

Real‐Life Psychological Experiences and Cardiac Autonomic Physiology Among Survivors of a Myocardial Infarction in Midlife

Abstract Middle-aged women with ischemic heart disease have a higher burden of psychosocial factors compared with male counterparts. Data on daily life stress and autonomic physiology could help guide targeted interventions. We studied 302 individuals ≤ 61 years of age (129 women...

Spatial Statistics for Screening Molecular Structures

ABSTRACT The dominant paradigm in computational materials discovery relies on heavily parameterized deep architectures, including message‐passing graph and equivariant networks, that typically require large density functional theory (DFT)‐labeled training sets and produce nonconv...

Computation-through-Dynamics Toolkit: Simulated datasets and quality metrics for dynamical models of neural activity

A primary goal of systems neuroscience is to discover how ensembles of neurons transform inputs into goal-directed behavior, a process known as neural computation. A powerful framework for understanding neural computation uses neural dynamics – the rules that govern how neural ac...

Charge‐Domain In‐Memory Computing With NAND‐Compatible Ferroelectric Memcapacitor Crossbar

ABSTRACT Rapid growth in artificial intelligence has intensified the need for energy‐efficient computing architectures beyond the conventional von Neumann paradigm. While memristive in‐memory computing has attracted significant attention, its low cell resistance causes static pow...

Mechanism‐Driven Failure Criteria for Carbon Fiber Reinforced Composites Across Laminated and Three‐Dimensional Braided Architectures: A Review

ABSTRACT Carbon Fiber Reinforced Polymer (CFRP) is widely used in aerospace and other fields due to its excellent mechanical properties. Failure analysis is crucial for optimizing CFRP structural design and improving service performance. CFRP failure is closely related to materia...

Smoothing out the edges: continuous-time estimation with Gaussian process motion priors on factor graphs

Continuous-time state estimation is gaining in popularity due to its abilities to provide smooth solutions, handle asynchronous sensors and interpolate between data points. While there are two main paradigms, parametric (e.g., temporal basis functions, splines) and nonparametric...

Basin-scale organization of groundwater and surface water during the monsoon season: Hydrochemical and isotopic insights from the Brahmaputra River Basin, Northeast India

Study region The Indian sector of the Brahmaputra River Basin (BRB). Study focus We co-evaluated groundwater (GW) and river water (RW) across the Indian BRB using a synoptic monsoon-season survey (July 2022; n = 83; 36 GW, 47 RW). Hydrochemistry, stable isotopes (δ²H, δ¹⁸O), wate...

Machine-learned, finite temperature Fermi-operator expansions suitable for GPUs and AI-hardware

We present several finite-temperature recursive Fermi–operator expansion schemes based on the second-order spectral projection (SP2) method. Our approach builds on a previous observation that the electronic structure problem, as formulated through a recursive SP2 expansion, can b...

Reduced-Order Modeling of Hamiltonian Dynamics Based on Symplectic Neural Networks

Abstract. We introduce a novel data-driven symplectic reduced-order modeling (ROM) framework for high-dimensional Hamiltonian systems that unifies latent-space discovery and dynamics learning within a single, end-to-end neural architecture. The encoder–decoder is built from Hénon...

Response to Govindaraju et al.

Diethard Tautz, Greg Gibson, Anthony Long; Response to Govindaraju et al., Genetics, , iyag269, https://doi.org/10.1093/genetics/iyag269

CrossAcclimation and Endurance Performance Following Adaptation to Dry and Humid Heat

Purpose: To examine the influence of hot-dry and warm-humid heat acclimation (HA) on endurance performance and the cross-acclimation benefit between environments. Methods: In a cross-over design, trained male cyclists completed a 30-min time trial in hot-dry (Dry-TT; 42°C, 25% RH...

Regulated medication information, accessible web delivery? A cross-sectional evaluation of united states prescription drug brand homepages

Abstract Prescription drug brand homepages are widely used entry points for medication information in the United States, yet their usability as patient-facing digital interfaces is not well characterized. We evaluated official U.S. prescription drug brand homepages using a reprod...

Influence of Soil Particle Size, Shape, and Mineralogy on Microbially Induced Calcite Precipitation

Abstract Microbially induced calcite precipitation (MICP) has gained increasing attention as a potential sustainable ground improvement technique. This study investigates the influence of soil particle size, shape, and mineralogy on the MICP process and on the evolution of shear-...

Beyond Hill-Type Models: Aligning Experiments and Modeling to Understand Dynamic Muscle Function

Muscle models underpin how exercise, rehabilitation, and human-movement sciences infer muscle force during activity, yet profound gaps remain between traditional measures and models of muscle function and the dynamic features of muscle in natural movement. We review evidence for...

Effect of Hydroxyl‐Terminated Polybutadiene Grade on Rheology and Settling of High‐Solids Mixtures of Mock Propellants

ABSTRACT The most common binder used in composite rocket propellants is based on the pre‐polymer hydroxyl‐terminated polybutadiene (HTPB). It has been shown to have excellent mechanical properties and a long life once crosslinked, and studies have examined the kinetics of crossli...

Transforming Gas Separations with Scalable Carbon Molecular Sieve Membranes Enabled by Chemically Tuned Hollow‐Fiber Precursors

ABSTRACT Blending hydrogen into natural gas pipelines requires efficient separation, while helium recovery from natural gas via cryogenic distillation is energy‐ and capital‐intensive, driving demand for better membranes. This study develops ultraselective carbon molecular sieve...

DNA methylation differences between female and male X chromosomes in human brain

Abstract Background DNA methylation is a key epigenetic mechanism of sex chromosome regulation. However, DNA methylation studies often exclude X chromosomes. Moreover, widely used DNA methylation assays interrogate biased subsets of CpGs, rather than assessing CpGs across the who...

Prediction of cardiovascular outcomes using electrocardiography from overnight polysomnography.

STUDY OBJECTIVES: Polysomnography (PSG) is the gold standard for diagnosing sleep disorders, which are recognized as cardiovascular risk factors. Single-lead electrocardiograms (ECGs) are recorded during PSG but rarely analyzed, presenting an opportunity to leverage overnight ECG...