University of Maryland, College Park

ZIP-Code-Level Forecasting of Heating and Cooling Degree-Days for Urban Building Energy Planning in the United States

Heating and cooling degree-days (HDDs and CDDs) link outdoor temperature to building heating and cooling demand and serve as inputs for building energy and emissions models. Existing data-driven forecasts cover a few stations or provinces within single countries; none exists at n...

Testing Group Differences in Nonlinear Growth Curve Modeling with Penalized Spline

Longitudinal data analysis in social and behavioral sciences often assumes a linear change over time, but human behavior is complex and frequently exhibits nonlinear patterns. Regression spline is a popular approach in machine learning to model nonlinear trajectories. While tradi...

The Evolution of Low-ionization Electron Densities in Galaxies across Cosmic Epochs

Abstract We investigate the low-ionization electron density in the interstellar medium (ISM) of galaxies across 0 < z < 8, derived with the [O ii ] λλ 3727, 3730 and [S ii ] λλ 6718, 6733 doublets, using both deep JWST/NIRCam/grism and NIRSpec/MSA spectroscopy. Along with ancilla...

Tracking recent extremes and interannual variability of global fire emissions using a near-real-time extension to the Global Fire Emissions Database

Abstract. The Global Fire Emissions Database (GFED) is widely used to quantify spatiotemporal variability and long-term trends in burned area and fire emissions, supporting assessments of fire impacts on ecosystems and atmospheric composition. GFED has historically relied on obse...

Language-derived mental object load suppresses posterior alpha power

Language and vision are two primary source modalities of information for humans. To uncover shared and unique mental representations across linguistic and visual inputs, one approach is to test the extent to which a certain neural signature is shared. In the current EEG study, we...

Normal Science and Middle-Range Theory in Criminology: Assessing the Contested Notion of Offending Specialization

This review traces the evolution of the specialization concept in criminology and assesses its value for theory, research, and policy. Although empirical research has generally shown that most offenders exhibit versatility rather than long-term specialization, we argue that speci...

Laboratory Measurements of Energy Partitioning and Anomalous Electron Heating in Magnetized, Perpendicular Collisionless Shocks

Abstract We present laboratory results on energy partitioning from supercritical, magnetized collisionless shock experiments ( M A ∼ 8, M ms ∼ 4). We report the first observation of fully developed laboratory shocks that evolve for more than seven upstream ion gyroperiods and hav...

Influence of Nonpolar Amino Acids on Phase Transitions of Atmospheric Aerosol Particles

Abstract The fate of aerosol particles in the atmosphere depends, in part, on their composition, morphology, and phase transitions. Studies of aerosol phase transitions have focused on aerosol particles with organic compounds consisting of C, H, and O atoms, although a substantia...

A machine learning approach to predicting high-risk irritability trajectories across the transition to adolescence

Abstract Youth irritability, characterized as proneness to anger/frustration, is associated with negative mental health outcomes. This study identified irritability trajectories across the transition to early adolescence and applied machine learning to identify preadolescent pred...

Optically Active Single Hole Spin in ZnSe

Abstract Semiconductor hole spins offer a pathway to extended coherence times by decoupling from nuclear magnetic noise, while their spin–orbit coupling enables fast all-electrical control. In ZnSe, however, realizing this potential has been limited by p-doping challenges. Here,...

Multimodal folate receptor-targeted liposomes enable photo-chemo-antibiotic synergy for peritoneal cancer therapy

The complex and heterogeneous nature of cancer presents significant challenges to effective treatment. Because no single therapy can overcome this complex challenge, rational combination strategies that concurrently target tumor survival pathways and engage non-overlapping mechan...

The use of real‐world data in health services research for dementia care: A scoping review

Abstract Health services research (HSR) is critical to informing dementia care and often relies on real‐world data (RWD); however, RWD use in HSR has not been systematically mapped in the United States. Following previous researchers and Preferred Reporting Items for Systematic R...

Structural Vulnerability and the Pandemic: Widening Gaps in Nursing Home Antipsychotic Prescribing

To assess whether national reductions in antipsychotic prescribing in U.S. nursing homes were shared equitably or masked widening gaps between top and bottom performers, we examined distributional trends across facilities from 2013 to 2023 using national facility-level data (CMS...

Sex-specific skeletal muscle fiber atrophy and reduced macrophage inflammation in a rodent transverse aortic constriction model

Abstract Heart failure is associated with systemic skeletal muscle remodeling, where sex-specific differences suggest differential peripheral involvement in disease progression. Skeletal muscle macrophages regulate angiogenesis and tissue remodeling and may contribute to early al...

A global base temperature dataset for residential building energy demand modelling

Abstract. Accurate building energy demand modeling is critical to decarbonizing regional energy systems. The cooling and heating degree-day models are widely used due to their simplicity and low data requirements; however, the lack of accurate base temperature data limits their p...

Trends in Spending on Corrective Lenses

Importance About 50% of the population has a refractive error, but corrective lenses can impose cost barriers on patients given the lack of widespread vision insurance. Objective To describe temporal trends and sociodemographic variation in corrective lens spending and payment so...

SWOT‐Fitted River Bathymetry for Global Hydrodynamic Models

Abstract We present a robust, global method to reconcile absolute water surface elevations (WSE) from the Surface Water and Ocean Topography (SWOT) mission with a large‐scale hydrodynamic model by iteratively correcting river bathymetry. After removing sensor and representativene...

Three-Dimensional Nanopore γ′-V2O5 Architectures Enabling Stable, Long-Life, High-Power Sodium-Ion Microbatteries

Abstract A three-dimensional nanoscale architecture originating from semiconductor manufacturing offers a powerful route to overcome ion-transport limitations in microscale electrochemical systems. Here, we report a sodium-ion microbattery array based on a coaxial γ’-V2O5/Pt nano...

Latent profiles of change in opioid-related stigma and predictors of profile membership within a nationally representative, weighted sample in the United States

Background Stigma is a well-established barrier to opioid use disorder (OUD) treatment initiation and outcomes. However, research has yet to fully describe if and how national public OUD stigma changes over time in the absence of formal intervention. Utilizing a longitudinal, nat...

Using Representation Learning and Website Text to Identify Competitor Networks

This paper introduces a new approach to identify competitors using company websites to map competitive relationships among public and private firms. We apply representation learning techniques to create embeddings of companies based on website content, emphasizing information abo...