West Virginia University

Endovascular Stroke Thrombectomy for Patients With Concomitant Head Trauma: A Propensity Score–Matched and Machine Learning Study

BACKGROUND: The safety and efficacy of endovascular thrombectomy (EVT) for patients with large vessel occlusion stroke presenting with concomitant head trauma is unclear. METHODS: Using the Nationwide Readmissions Database in the United States (2016–2022), we identified adults wi...

Comparative effects of atorvastatin and rosuvastatin on inflammatory biomarkers: a systematic review and meta-analysis of randomized head-to-head trials

Abstract Background Inflammation contributes significantly to cardiovascular disease progression. While both atorvastatin and rosuvastatin have anti-inflammatory effects, evidence directly comparing their effects on inflammatory biomarkers is limited and inconsistent. This study...

The GMRT High-resolution Southern Sky Survey for Pulsars and Transients. VIII. Orbital Variability and the Evolution of a 1 day He-WD Millisecond Pulsar J2101–4802

Abstract We present timing and orbital phase-resolved polarimetry of the millisecond pulsar (MSP) J2101−4802, having a spin period of 9.48 ms and dispersion measure (DM) 25.05 pc cm −3 discovered with the Giant Meter Radio Telescope (GMRT). From the phase-connected timing of this...

Evaluating Latent Hazards in AI-Enabled Clinical Occupational and Environmental Medicine: A Conceptual Systems-Based Hazard Analysis

Occupational and environmental medicine (OEM) clinicians operate at the intersection of clinical medicine and the legal system. The impact of the clinical decisions and determinations made by OEM clinicians extends far beyond clinical outcomes. The integration of artificial intel...

Development of a Computational Histology Artificial Intelligence-Powered Prognostic Biomarker in Colorectal Cancer in The Cancer Genome Atlas

Background: Risk stratification in colorectal cancer (CRC) plays an important role in treatment decision-making. As such, prognostic biomarkers that can augment risk stratification have clinical value. Quantitative histologic features from routine hematoxylin and eosin (H&E)-stai...

Best Case/Worst Case: A Multisite Randomized Trial of Scenario Planning for Patients With Late‐Stage Kidney Disease

BACKGROUND: Best Case/Worst Case (BC/WC) is a communication tool to support nephrologists and older adults with advanced chronic kidney disease with decisions about dialysis. We compared the effectiveness of training nephrologists to use BC/WC versus usual care on receipt of pall...

Unraveling Spatial Electrochemical Heterogeneity and Additive‐Mediated Regulation in Scale‐up Aqueous Zinc‐Ion Pouch‐Type Cells

ABSTRACT Scaling aqueous zinc‐ion batteries (AZIBs) to pouch‐type configurations amplifies electric‐field and Zn 2+ flux heterogeneities, causing non‐uniform Zn deposition. Here, β‐cyclodextrin (β‐CD) and Tween 80 (Tw80) are systematically investigated to decouple bulk transport...

Superlarge-Bore Versus Large-Bore Aspiration Catheters in Mechanical Thrombectomy: A Multicenter Propensity-Matched Analysis

BACKGROUND AND OBJECTIVES: Aspiration catheters are an integral component of mechanical thrombectomy for acute ischemic stroke (AIS). Following early series demonstrating increasing procedural efficiency and improved outcomes with use of large-bore (LB) aspiration catheters, ther...

Rhinosinusitis in Adults Receiving Tumor Necrosis Factor Alpha Inhibitors and Anti‐CD20 Therapy: A Scoping Review

ABSTRACT Introduction Immunomodulatory therapies, including tumor necrosis factor alpha (TNF‐α) inhibitors and anti‐CD20 agents, are often used for autoimmune, inflammatory, and neoplastic disorders. While infection risk is well recognized, their association with rhinosinusitis r...

Deep Learning–Based Approach for Short- and Long-Term IRI Forecasting Using Long-Term Pavement Performance Data

Abstract This study presents a deep learning–based approach for forecasting the international roughness index (IRI) using a long short-term memory (LSTM) network enhanced with an attention mechanism. Leveraging data from the long-term pavement performance program, the proposed LS...

Photovoltaic panel failure detection using class-conditioned generative adversarial networks

Abstract Detection of defects and failure in photovoltaic (PV) modules increasingly relies on multi-modal data. Artificial intelligencemodels trained on imaging data can help identifying PV defects and failures. However, the effectiveness of these imaging-baseddiagnostic models i...

A Current Snapshot of Well-being Among Transgender Adults

Health challenges, including the onset, severity, and treatment of chronic health conditions, are differentially experienced by sexual and gender minority adults, resulting in health disparities. Using data from the 2023 CDC's BRFSS, we examine heterogeneity across age and transg...

The beginning of the end for manual chart review: LLM-mediated database construction

Manual clinical data abstraction is the reference standard for research databases but is labor-intensive, costly, and susceptible to human error. We evaluated the accuracy of a locally deployed open-source large language model (LLM) framework for automated extraction of structure...

Encounter Geometry Effects on Space-Based Laser Debris Remediation and Estimation

The escalating accumulation of orbital debris poses a critical threat to future space operations. Space-based lasers leveraging laser ablation have emerged as a promising approach for mitigating debris proliferation and preserving the orbital environment. Current literature, howe...

‘Give me a point and I will place the map’: automated georeferencing historical maps using spatially explicit AI

Georeferencing provides a foundation for transforming historical maps into usable data for geographic analysis. Existing methods remain limited in their ability to integrate spatial semantics with geometric feature extraction, accommodate complex street geometries and stay robust...

Unmet Needs of Adolescent and Young Adult Cancer Survivors Treated in West Virginia: A Qualitative Analysis of Open-Ended Survey Responses

Purpose: To characterize unmet supportive care needs among adolescent and young adult (AYA) cancer survivors in rural West Virginia. Methods: We conducted a cross-sectional survey of individuals diagnosed with cancer at ages 15–39 and treated within the West Virginia University H...

Review of Network-Level Pavement Performance Modeling Approaches throughout the US and Critical Assessment of Deterministic Methods

Abstract This paper presents a detailed review of pavement performance modeling methods found in literature and reported to be used by transportation agencies in the US. It was found that deterministic models are the dominant type for network-level pavement management application...

Occupational safety and health risks among plumbers: A qualitative study of workplace hazards, safety practices, and system-level gaps in Texas

Background The plumbing trade exposes workers to ongoing workplace hazards that pose significant health risks. This issue is well known but remains unresolved. A key question remains: why have current safety measures, such as training programs, regulatory standards, and personal...

Role of Steroids in the Diagnosis of Primary Central Nervous System Lymphomas: A Single-Center Experience

BACKGROUND AND OBJECTIVES: The effect of preoperative steroids on primary central nervous system lymphoma (PCNSL) diagnosis is debated, because of concerns about lesion regression and false-negative biopsies. Steroids are commonly administered to manage the mass effect and neurol...

The 2NS chromosomal translocation enhances redox homeostasis and mitigates oxidative stress during Magnaporthe oryzae Triticum infection in wheat

Wheat blast, caused by the hemibiotrophic fungus Magnaporthe oryzae Triticum (MoT), is a destructive disease that poses a severe threat to global wheat production. The 2NS chromosomal translocation, introgressed from Aegilops ventricosa into the Bangladeshi wheat variety BARI Gom...