Georgia Institute of Technology

Applying Natural Language Processing to Address Healthcare Bias: Using CARE-SD to Evaluate the Distribution of Stigmatizing Language in Clinical Notes

Electronic health records (EHRs) are a critical medium through which patient stigmatization is perpetuated among healthcare teams. We identified doubt markers and stigmatizing labels in MIMIC-III, a de-identified EHR, via expanded lexicon matching and machine learning classifiers...

Joint XMM-Newton and NuSTAR Observations of Type I X-ray Bursts from the Dipping Low-Mass X-ray Binary 4U 1323–62

Abstract In this study, we report partly simultaneous XMM-Newton and NuSTAR observations of the bursting, dipping low mass X-ray binary, 4U 1323–62 obtained in 2024. 4U 1323–62 is one of the well-known persistent bursters, with bursts occurring roughly every three hours. It is al...

From Trees to Treewidth: Inventory Management in Complex Supply Chain Networks

We propose an exact linear programming (LP)-based solution approach to the Guaranteed Service Model (GSM), one of the most widely applied models for optimizing safety stock placement in supply chain networks. Our approach handles any directed acyclic network and any cost function...

Safety compliance and construction waste reduction in Ghana with implications for sub-Saharan Africa: the role of deep and surface practices

Purpose Despite growing recognition that worker behaviour drives construction waste generation, no study has empirically tested whether disaggregated safety compliance dimensions directly predict waste reduction outcomes, particularly in Sub-Saharan Africa, with evidence from the...

Convergence rate of the join-the-shortest-queue system

Abstract The join-the-shortest-queue (JSQ) policy is among the most widely used load-balancing algorithms and has been extensively studied. However, an exact characterization of the system behavior remains challenging. Most prior research has focused on analyzing its performance...

Research on multimodal dense small object detection algorithms guided by cross-modal information

To address the challenges of modality heterogeneity, scale inconsistency, and background interference in dense small object detection under multimodal conditions, this paper proposes a novel detection framework based on cross-modality guidance and hierarchical scale refinement. B...

Comparison of Chemical Transport Model and Observation Derived Ozone-NO x -VOC Isopleths for the South Coast Air Basin of California

Abstract We developed, applied, evaluated, and compared chemical transport model-based and observation-based methods for constructing ozone isopleths used to understand ozone-emission relationships, focusing on the South Coast Air Basin of California (SoCAB). The High-order Decou...

Global Reanalysis Reveals Recurrent Cyanobacterial Enrichment in the Aquatic Plastisphere

Abstract The plastisphere is an emerging anthropogenic ecosystem hosting complex microbial assemblages. While heterotrophic colonizers are well studied, the role of primary producers such as cyanobacteria remains underexplored. Here, we reanalyzed 16S rRNA gene amplicon data from...

Mutation E300 recommended by protein language models gives ChrimsonR amplified photocurrent response

Abstract A central challenge in opsin engineering is identifying mutations that reliably improve desired functional properties, a task made difficult by the enormous mutation space and limited throughput of electrophysiological screening. Improving opsin properties such as photoc...

Illusory early-warning signals of Greenland Ice Sheet destabilization

Interannual variability of surface mass balance over the Greenland Ice Sheet has been increasing, which has been cited as an early-warning signal of ice sheet destabilization under current climatic conditions. A destabilized ice sheet would continue to lose mass and contribute to...

Epochs of regularity for wild Hölder-continuous solutions of the hypodissipative Navier–Stokes system

Abstract We consider the hypodissipative Navier–Stokes equations on [ 0 , T ] × T d [0,T]\times\mathbb{T}^{d} and seek to construct non-unique, Hölder-continuous solutions with epochs of regularity (smooth almost everywhere outside a small singular set in time), using convex inte...

Identifying Informative Psychophysiological and Gaze-Based Indicators for Inferring Human Cognition During Automated Driving: An Information-Theoretic Approach

We present an information-theoretic framework for identifying which physiological and eye-gaze-based indicators, and at what temporal scales, are most informative of cognition-related reliance behavior during conditionally automated (SAE Level 3) driving. We analyze data collecte...

Predicting Trust Contagion via Gaze Allocation in Multi-Human-AI Teams

In multi-human–AI teams, trust in AI is shaped not only by direct interaction but also by social influence among teammates, a process known as trust contagion. While social signals facilitate this process, prior research have overlooked specific mechanisms such as gaze. This stud...

Designing for Social Engagement in Cognitive Care: A Case Study

Objectives: This study reports on a postoccupancy evaluation (POE) of the Cognitive Empowerment Program (CEP), a purpose-built day program designed for individuals with mild cognitive impairment (MCI). It examines how the built environment is perceived to support or constrain soc...

Mechanics-driven evolution of effective thermal conductivity in salt-hydrate thermochemical energy storage materials

Inorganic salt hydrates are promising thermochemical energy storage (TCES) materials because of their low cost, high energy density, and moderate operating temperatures. However, hydration/dehydration cycling produces large volumetric changes that alter microstructure, generate i...

Aβ-42 Side Chain Deamidation at Q15 or N27 Modulates Protein Aggregation and Alters Microglial Cytokines and CD68

The progressive aggregation of amyloid beta (Aβ) monomers into oligomers is a critical factor in Alzheimer's disease (AD) pathogenesis. Although mutated forms of Aβ have been shown to display altered aggregation dynamics, the specific effects of deamidated Aβ on microglial functi...

When “Signals” Boomerang: Employers’ Reactions to a Novel Signaling Mechanism

Information asymmetry is a persistent challenge in online labor markets because employers cannot directly observe worker quality. Platforms attempt to mitigate this problem by introducing signaling mechanisms. We examine how employers respond to a novel signaling device: a volunt...

Reasoning-Driven Design of Single-Atom Catalysts via a Multiagent Large Language Model Framework

Abstract Large language models (LLMs) are becoming increasingly applied beyond natural language processing, demonstrating strong capabilities in complex scientific tasks that traditionally require human expertise. This progress has extended into materials discovery, where LLMs in...

The structure of infrastructure adoption: competition of hydrogen and electric for long-haul freight decarbonization

Long-haul freight decarbonization requires deploying hydrogen refueling stations (HRSs) across networks designed around incumbent diesel supply. Existing planning tools treat node-level demand as uniform, ignoring how it emerges from the coupling between freight flows and technol...

Learning in Lost-Sales Inventory Systems with Stochastic Lead Times and Random Supplies

Supply uncertainty, characterized by stochastic lead times and random supply quantities, has attracted increasing attention from academia, industries, and governments, particularly in the aftermath of the COVID-19 pandemic. In this paper, we consider the problem of managing lost-...