Digital Commons Network^™

The 2025 Measles Outbreak In Texas, Tamer Oraby, Martial L. Ndeffo-Mbah

School of Mathematical & Statistical Sciences Faculty Publications

Background: In 2025, Texas experienced its largest measles outbreak in decades, reporting 762 cases by mid-August. Measles is a highly contagious but vaccine-preventable infection transmitted mainly among unvaccinated individuals and capable of causing severe outcomes.

Methods: We investigate counterfactual measles control scenarios based on daycare and school closures and reactive vaccination of infants and children, including mixed interventions. We analyze the 2025 Texas outbreak using an age-structured multi-stage SEIR model formulated as a system of ordinary differential equations. The model is fit to case data using Bayesian inference to estimate the effective reproduction number and generate posterior predictive trajectories under …

Clinical Utility Of An Fda-Authorized Artificial Intelligence Imaging Platform In Interstitial Lung Disease Diagnosis, Arjun Prakash Tambe, Ryan Boente, Gautam George, Fayez Kheir, Omid Tahamtani Omran, Kavitha Selvan

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

Background/Objectives: The diagnosis of interstitial lung disease (ILD) is challenging and frequently delayed. Clinically accessible and minimally invasive diagnostic tools are needed to expedite the diagnosis of ILD while minimizing risk to patients. Fibresolve is an imaging artificial intelligence (AI) tool recently approved by the Food and Drug Administration (FDA) for use in ILD diagnosis and made available to clinicians. The objective of this study was to describe its utility in clinical practice. Methods: We conducted a prospective, observational study of patients across the United States (US) in whom Fibresolve was utilized during routine clinical practice between July 2024 and …

Expression Levels Of Heat Shock Protein 72 And Their Correlation With Biomarkers Of Renal Function Among Hispanic Construction Workers Exposed To Ambient Heat In El Paso, Texas, Maria Fuentes

Open Access Theses & Dissertations

Heat shock proteins (HSP) are intracellular molecular proteins that are upregulated in response to cellular stress, including heat exposure. Through their protective functions, HSP help maintain protein structure, prevent protein denaturation, and preserve cellular homeostasis during states of physiological stress. Because of their cytoprotective properties, HSP have emerged as potential biomarkers for detecting early signs of tissue injury and predicting clinical outcomes associated with heat related illnesses (HRI), including acute kidney injuries (AKI). AKI is a leading cause of hospitalizations due to heat stress exposure and heat stroke. In the absence of early detection and effective therapeutic interventions, AKI may …

Analysis Of Terpenes In Cannabis Flowers Using Gas Chromatography Via Headspace-Solid Phase Microextraction (Hs-Spme), Hannah I. Bergner

Forensic Science Master's Projects

As cannabis commercialization grows, rigorous profiling of cannabinoids, terpenes, and chemical contaminants is legally required for industry standardization and consumer safety. Terpenes are highly volatile components that dictate the unique aromatic profiles and therapeutic properties of cannabis via receptor pathways. This project focused on a gas chromatography-flame ionization detector/mass selective detector (GC-FID/MSD) combined with headspace-solid phase microextraction (HS-SPME) sampling to analyze terpenes present in four cannabis samples. Cannabis samples were tightly sealed in vials (10 mL) and heated to vaporize terpenes in the headspace above the samples, followed by the extraction of the vaporized terpenes using a polydimethylsiloxane (PDMS)-coated SPME …

The Relationship Between Depression And Cognitive Proficiency Index Across Biological Sex, Angela N. Ferdinardo

Dissertations

Depression is a widely studied mood disorder, and understanding its effect on cognitive functioning has become an important area of research. While research has examined relationships among depression, working memory, and cognitive deficits, limited research has explored depressive symptoms and cognitive proficiency across biological sex. Depression manifests similarly in men and women, though men are more likely to experience irritability, impulsivity, and anger, while women tend to experience sadness, stress, and sleep disturbances (Johns Hopkins Medicine, 2023). Women are also more likely to seek treatment and cope differently than men. This study examined the relationship between depression and cognitive proficiency …

Cost-Effectiveness Evaluation Of Artificial Intelligence-Assisted Chest Radiograph Interpretation For Tuberculosis Screening In Rural Health Units In The Philippines, Harold Henrison C. Chiu, Bryan Christopher C. Lao, Gloanne C. Adolor

Graduate School of Business Publications

Background: Tuberculosis remains a major public health burden in the Philippines, where diagnostic delays are amplified by limited radiology capacity in rural health units (RHUs) and geographically isolated and disadvantaged areas (GIDAs). Computer-aided diagnosis (CAD) using artificial intelligence (AI)-assisted chest radiograph interpretation may shorten the screening pathway and reduce reliance on scarce specialist readers. However, its economic value for RHUbased tuberculosis screening has not been fully evaluated.
Methods: We developed a decision-tree cost-effectiveness model in Microsoft Excel 365 to compare AI-assisted chest radiograph interpretation with conventional manual radiologist or teleradiology interpretation among a theoretical annual cohort of 1,000 presumptive tuberculosis …

Id-More Vision: Real-Data Machine-Learning Assessment For A Digital-Twin-Inspired, Xr-Ready Rehabilitation Prototype, Rickey L. Clark

Master's Theses

Rehabilitation assessment often relies on periodic observation, while many XR prototypes show scripted rather than recorded-motion evidence. iD-MORE Vision is an offline pipeline trained on KIMORE and IRDS and linked through JSON packets to a two-mode Unity desktop prototype. Both datasets include controls and rehabilitation participants with neurologic, musculoskeletal, or mobility impairments. This improves relevance but does not clinically validate the system.

Under fixed subject-wise splits, the primary five-seed Random Forest predicted KIMORE clinician scores with MAE 6.087 ± 0.044 cTS and R² 0.568 ± 0.006; the subject-level R² interval crossed zero. The primary IRDS five-run CUDA GRU averaged 0.877 …

Agent-Based Modeling Of Cellular Dynamics In Adoptive Cell Therapies, Yujia Wang

Dissertations and Theses (Open Access)

Adoptive cell therapies (ACT) have shown promising progress in combating cancer, but clinical responses remain heterogeneous. Key determinants, including the functional states of infused cells, tumor–immune interactions, and dosing strategies, are difficult to resolve experimentally in the dynamic and heterogeneous tumor microenvironment, limiting optimization of ACT products and treatment regimens. To address the gap, we developed ABMACT (Agent-Based Model for Adoptive Cell Therapies), a computational framework that reconstruct key cellular functions, interactions, and molecular signatures to recapitulate cell population dynamics associated with differential treatment responses. ABMACT encodes autonomous “virtual cells” using literature-informed rules calibrated with experimental data, enabling simulation of …

Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta

Dissertations and Theses (Open Access)

In liver-directed radiotherapy (RT), liver regions receiving higher doses typically undergo atrophy while contralateral/adjacent lower-dose regions may exhibit compensatory hypertrophy through regeneration of healthy tissue. Optimizing the RT plan to promote regional hypertrophy while minimizing the risk of developing atrophy has the potential to enhance post-RT liver function and long-term survivorship. However, current clinical practice largely relies on global liver dose-volume metrics during RT-planning, which may obscure favorable dose-response correlation and limit actionable guidance for clinicians. Therefore, we hypothesized that post-RT regional liver response is governed by a combination of region-specific dose-volume and patient clinical features, and that these responses …

Endotyping Obstructive Sleep Apnea In Infants With Micrognathia, Alexis Dominic, Zarmina Ehsan, Baha Al-Shawwa Md, Karishma Rao, Blake A. Welker, Meghan Tracy, Andrew Li, Alessandra Manoylova-Vedder, Shiyuan Chen, Shu-Ching Chen, Members Of The Data Science And Analytics Innovation Center (Dsaic), John P. Dahl, Janelle Noel-Macdonnell

Posters

No abstract provided.

Behavioral And Dietary Associations Of Vitamin D Deficiency Among Landscaping Workers: An Analytical Cross-Sectional Study In El Paso, Texas., Cristela Anahi Avila

Open Access Theses & Dissertations

Background: Vitamin D deficiency is a persistent public health concern, even among outdoor workers who receive substantial sunlight exposure. Landscaping workers may still be at risk because sun-protective clothing, early work hours, behavioral practices, and low dietary intake can reduce effective vitamin D synthesis. Purpose: This pilot study examined dietary vitamin D intake, sun exposure behaviors, and serum 25-hydroxyvitamin D status among male landscaping workers in El Paso, Texas, to identify behavioral and nutritional factors associated with deficiency. Methods: Twenty participants completed a culturally adapted food frequency questionnaire and behavioral assessment and underwent capillary point-of-care testing for serum 25(OH)D. Descriptive …

The Impact Of State Insulin Copayment Caps On Diabetics In The United States, Ryan C. Meyer

All Theses

Insulin is a life-saving medication for people with diabetes that helps regulate blood glucose levels throughout the body. A Type 1 diabetic cannot survive without insulin, and a Type 2 diabetic’s quality of life greatly diminishes without access and use of this drug. Currently, many diabetics skip, ration, or abstain from insulin due to financial barriers. As of June 2026, 29 states have enacted insulin copayment caps for state-regulated commercial health insurance plans to reduce the financial burden of insulin costs. This study examines the impact of these caps on all commercially insured diabetics in the United States, particularly on …

A Longitudinal Analysis Of Hospital Consumer Evaluation In Virginia, Tulay Akmandor Inac

Health Services Research Dissertations

Suboptimal patient experience signals a need to improve clinical efficacy, patient safety, and healthcare quality. The COVID-19 pandemic intensified hospital resource and staffing demands, reducing hospitals’ capacity to invest in patient experience improvement. Prior studies remain limited because many lack longitudinal structure and organized theoretical models, making temporal inference difficult and weakening analyses of patient experience disparities. To address these limitations, this dissertation incorporates three studies examining patient experience and pandemic-related effects.

In state-level markets comparable to Virginia, limited research has examined longitudinal patient experience trends across regional hospital systems using HCAHPS scores. The first study uses descriptive trend analysis …

Computational And Ai Tools For Understanding Telomere-Associated Cancer Mechanisms, Eleni Adam

Computer Science Theses & Dissertations

Telomeres are the protective caps of the human chromosomes and are critical for genome stability. Dysfunctional telomeres caused by their erosion with age and cell proliferation as well as by defects in their maintenance is a major early event leading to genome changes and cancer. Subtelomeres possess the critical role of regulating adjacent telomeres. Due to their complex repeat structure and high variance from one person to another, these areas have not been analyzed in detail. We present a set of computational and machine learning tools to aid in the understanding of subtelomere structure and its rearrangements in cancer.

Initially, …

Dietary Patterns And Cognitive Decline In Older Adults: Findings From The Western Australia Memory Study, Carolina Blagojevic Castro, Samantha L. Gardener, Farzana Jahan, Juliana Chen, Belinda M. Brown, Ruey L. Loo, Kevin Taddei, Stephanie R. Rainey-Smith, Michael Weinborn, Ana Caroline R.Dos Reis, Manohar L. Garg, Ralph N. Martins, Hamid R. Sohrabi

Research outputs 2022 to 2026

Background: Preventive strategies, including adherence to specific dietary patterns, have received increasing attention as approaches to reduce cognitive decline and dementia risk. However, findings remain inconsistent, partly due to differences in dietary assessment methods, cognitive outcomes, and THE consideration of genetic susceptibility factors such as apolipoprotein E (APOE) genotype.

Methods: This study examined associations between dietary patterns and longitudinal cognitive change in 185 older adults without dementia from the Western Australia Memory Study. Participants completed a food frequency questionnaire at baseline and underwent comprehensive neuropsychological assessments at baseline and up to five follow-up visits at 18-month intervals. Composite scores were …

Unilateral Numbers Need Context: Reference Values For Single-Leg Cmj Performance Relative To Bilateral Cmj Capacity, Karol Kruczek, Tim Gabbett, Jason Lake, Michał Nowak

Research outputs 2022 to 2026

The single-leg countermovement jump (SL CMJ) is widely used to assess limb-specific neuromuscular function, with interpretation commonly centred on inter-limb asymmetry. However, contextualising unilateral performance relative to bilateral capacity remains less clearly defined. This retrospective cross-sectional study aimed to develop exploratory descriptive benchmarks for SL CMJ kinetic, kinematic, and temporal variables expressed as a percentage of bilateral CMJ performance in a heterogeneous athletic cohort. A total of 348 athletes completed bilateral and unilateral CMJs using dual force plate sampling at 1000 Hz. The best trials were selected using the modified reactive strength index (mRSI), and averaged unilateral variables were expressed …

Estimation Of Persistent Inward Currents Contribution To Inspiratory Motoneuron Firing In Humans, Ricardo N.O. Mesquita, Simon C. Gandevia, Janet L. Taylor, Anna L. Hudson, Jane E. Butler

Research outputs 2022 to 2026

Persistent inward currents (PICs) are known to prolong firing of limb-muscle motoneurons. Although there is immunohistochemical evidence of PIC channels in respiratory motoneurons, it is unknown whether PICs contribute to their firing prolongation. Intramuscular electromyographic signals were recorded from human inspiratory muscles to identify motor unit (MU) activity. Diaphragm MUs were identified during quiet breathing (n = 7; one female) and MUs from the 1st, 3rd, and 5th parasternal intercostal muscles during quiet (no lung volume feedback) and voluntary (triangular-shaped lung volume feedback) breathing (n = 5 males). PIC contribution to firing prolongation was estimated via quantification of firing hysteresis …

From Algorithm To Alarm: A Narrative Review On Insulin Delivery Innovation, Noor Ul Asaleem, Faraz Arshad, Maria Qadri, Muhammad Saqlain Mushtaq, Mishaim Khan, Pakeeza Shakoor, Tirath Patel, Anaya Noor, Nikhilesh Anand

School of Medicine Publications

Background and objective: The global rise in the incidence of diabetes mellitus necessitates innovative management strategies to mitigate the severity of the disease. The mainstay of diabetes treatment is still insulin therapy, although there are drawbacks, such as the need to maintain ideal glycemic control while lowering the risk of hypoglycemia and user fatigue. The development, clinical usefulness, and constraints of insulin delivery systems are examined in this narrative review, with particular attention to sensor-augmented and closed-loop technologies.

Methods: A thorough electronic database search was conducted to obtain pertinent data on major insulin delivery devices, including sensor-augmented and closed-loop systems. …

The Joint Effect Of Bilingualism And Sleep On Executive Functions Among Children And Adolescents With Attention Deficit/Hyperactivity Disorder (Adhd), Yirou Jiang

Doctoral Dissertations

Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that significantly impacts cognitive and behavioral functions, leading challenges for individuals across the lifespan. While extensive research has been conducted to understand the connection between executive functioning (EF) and ADHD, research findings related to the contributing factors of bilingualism and sleep still remains inconsistent (Bialystok et al., 2017). Investigating the joint effect between bilingualism and sleep on EF among children and adolescents with ADHD may help further clarify the connection between EF, language, and sleep, and facilitate the development of interventions from the perspective of these protective factors. EF encompasses cognitive processes …

Quantitative Imaging Of Pyruvate Metabolism In A Patient With Anaplastic Thyroid Cancer, James A Bankson, Joshua S Niedzielski, Collin J Harlan, Yunyun Chen, Christopher M Walker, Philip L Lorenzi, Lin Tan, Vikas Kundra, Matthew E Merritt, Mukundan Ragavan, Dawid Schellingerhout, Renjie He, Yao Ding, Sahana Datar, Qing Wang, Christine B Peterson, Clifton D Fuller, Vlad C Sandulache, Stephen Y Lai

Faculty, Staff and Students Publications

Purpose: Magnetic resonance imaging using hyperpolarized (HP) [1-13C]-pyruvate enables assessment of pyruvate metabolism in vivo and offers new insight into metabolic changes in response to cancer therapy. Widely used semi-quantitative metrics of pyruvate metabolism can be affected by physiological factors that are extrinsic to intracellular metabolism. A validated pharmacokinetic (PK) model for analysis of intracellular pyruvate metabolism is needed to enhance the accuracy of quantitative metrics and clinical translation of metabolic MRI using HP pyruvate.

Methods: A PK model with two physical compartments and two chemical pools was developed to analyze the conversion of labeled pyruvate into lactate in vitro. …

Cost-Effectiveness Of Hes V2.0 And Galad For Hepatocellular Carcinoma Surveillance In Patients With Cirrhosis, Mert Sahinkoc, Gizem S Nemutlu, Hashem B El-Serag, Mary Linton B Peters, Ali Hajjar, Anthony E Samir, Leigh Anne Dageforde, Fasiha Kanwal, Jagpreet Chhatwal

Faculty, Staff and Students Publications

Background: Ultrasound-based surveillance for HCC is limited by suboptimal sensitivity and low adherence. Blood-based biomarkers are potential alternatives for routine HCC surveillance. We aimed to define optimal sensitivity, specificity, and cost parameters under which blood-based biomarkers could serve as cost-effective alternatives in patients with cirrhosis.

Methods: We developed a microsimulation model of the natural history of HCC in individuals with compensated cirrhosis. We compared the cost-effectiveness of biannual surveillance using 2 blood-based biomarkers-HES V2.0 and GALAD-versus ultrasound-based surveillance across a range of sensitivity, specificity, test costs, and adherence levels. Outcomes included quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios …

An Evaluation Of Peer Mentoring In A Pre-Veterinary Science Program Within A College Of Forestry And Agriculture, Amy Neal

Electronic Theses and Dissertations

Mentoring is a tool utilized to improve the retention of college students and can serve as an effort to increase their willingness to persist despite challenges. Establishing mentoring relationships amongst first-year students and more-experienced students can create a sense of belonging. Mentorship programs may be developed within a particular major or program. Within this study, an online survey was formed to analyze the perceptions of first-year pre-veterinary students in Fall 2024 and Fall 2025. A peer-mentorship program was implemented amongst pre-veterinary students in Fall 2025. First-year students who completed the survey in Fall 2024 were not mentored. Many of the …

Evaluating Machine Learning Models On Classification Of Novel Cyber Attacks In The Healthcare Domain, Promise Ehimen

Dissertations, Theses, and Projects

The increasing adoption of the Internet of Medical Things (IoMT) has improved healthcare delivery through connected medical devices while simultaneously expanding the cybersecurity risks facing healthcare organizations. Although machine learning based intrusion detection systems have demonstrated high detection accuracy, their ability to respond reliably to previously unseen cyberattacks remains uncertain. This study investigated how a Neural Network model and a Logistic Regression model classified novel cyberattacks within the IoMT environment. The Neural Network and Logistic Regression models were both trained and tested using a subset of the CICIoMT2024 benchmark dataset. The Neural Network achieved 99.82% test accuracy and a 0.94 …

Systematic Review Of The Institutionalization Of Service Learning In Higher Education, Wilmer Hernan Cruz Gutierrez

ASEAN Journal of Community Engagement

An increasing number of universities are integrating service-learning (SL) to fulfill their social mission. However, sustainable institutionalization of SL remains a persistent challenge. This study identifies and analyzes the factors, actors, and strategies that drive and inhibit SL institutionalization in higher education. Using the PRISMA 2020 guidelines, a systematic literature review analyzed 52 documents from seven academic databases (including WoS, Scopus, and ERIC). The findings were grouped into three sections: cultural (integration into institutional values/missions), process (articulation within teaching, research, and outreach), and structural dimensions (dedicated support entities). The results obtained reveal a reciprocal relationship where cultural alignment enables processual …

Public Responses About Air Quality In The World’S Ten Most Populous Countries, Noah Lim, Alessandro Del Ponte, Lina Ang, Wei Jie Seow

Political Science Faculty Articles and Research

Understanding how people view and react to outdoor air quality is crucial to effectively managing and responding to air pollution, which is a major threat to global public health. Using a quota sample of 10,618 respondents from 1,372 localities across the world’s ten most populous countries (Bangladesh, Brazil, China, Indonesia, India, Mexico, Nigeria, Pakistan, Russia, and the United States), we assessed the association between exposure to fine particulate matter with diameter ≤ 2.5 micrometers (PM2.5) and people’s knowledge, attitudes, perceptions, practices, and concern about air quality. Overall, we find an inverse association between air pollution exposure and knowledge about air …

Spae: Deciphering Cell Cycle Dynamics And Cell States In Single-Cell Rna-Seq Data, Jiahao Yi, Jiajia Liu, Peng Guo, Yuan-Nong Ye, Xiaobo Zhou

Faculty, Staff and Student Publications

Rapid advances in single-cell RNA sequencing (scRNA-seq) technology have enabled the investigation of gene expression changes at the single-cell level, particularly for elucidating the heterogeneity among cells and complex biological processes. This technique reveals subtle molecular differences within individual cells, thereby offering a unique viewpoint for the investigation of cell cycle progression, cellular differentiation, and disease pathogenesis. However, accurately identifying and analyzing cell cycle dynamics in scRNA-seq data remains challenging due to the complexity of the data and the subtle differences between cell states. To address this challenge, we developed the integrated Sinusoidal and Piecewise AutoEncoder (SPAE), an autoencoder-based piecewise …

Bridging The Gap In Science Research: Preparing Students For College- Level Research In The Sciences, Victoria Helwig, Yaoguang Li

UConn Library Presentations

Many first-year students enter college unprepared to fully engage with scientific literature and academic library resources. Drawing on experiences from academic librarians working with STEM students, this session explores common gaps in science research skills, including navigating databases, identifying scholarly sources, and understanding the structure of scientific literature. Participants will be introduced to practical strategies and classroom-ready activities to better prepare students for college-level research. Discussion questions: What science research skills do students struggle with most when entering college? How can high school instruction better support these skills? Where can librarians and educators collaborate to support student success?

Interpretable Case-Control Inference Through Log-Linear General Location Models, Zacharia Stuart

Mathematics & Statistics ETDs

This dissertation analyzes one of the few publicly available NFL injury datasets to study field type and non-contact lower-limb injuries. Field type is studied jointly with other risk factors to understand how these factors interact to affect injury risk. The data were gathered through a case-control sampling scheme, which limits direct inference on absolute injury probabilities. While not the most common approach for case-control data, this dissertation models the retrospective distribution directly through Log-Linear General Location Models (Log-Linear GLOMs). Through a log-linear structure placed on a log-odds-ratio reparameterization, the model provides directly interpretable marginal and interaction contributions to injury log-odds …

Mapping And Modeling Threat-Evoked Brain States After Early Life Adversity, Taylor W. Uselman

Biomedical Sciences ETDs

Early life adversity (ELA) increases lifelong neuropsychiatric vulnerability. Yet how ELA reorganizes brain-wide activity and circuit coordination across later experience remains unclear. This dissertation tests the hypothesis that ELA alters adult brain-wide activity and responses to threat through disrupted coordination among neural systems that regulate emotional experience, including prefrontal-limbic and monoaminergic systems. Longitudinal manganese-enhanced MRI of adult mice exposed to standard or fragmented early care, combined with computational processing and statistical modeling, quantified brain states before, during, and long after innate predator threat. These studies established that acute threat evokes large-scale, distributed brain activity that evolves over time. ELA potentiates …

Naturalistic Aided Language Intervention For Children Who Have Multiple Disabilities Including Visual Impairment, Naomi Nattress

Speech and Hearing Sciences ETDs

ABSTRACT

This dissertation examined aided AAC interventions for individuals with multiple disabilities, including visual impairment, across three original studies. Chapter 2, a meta-analysis, found limited rigorous research for this population while showing that individuals at early symbolic stages with diverse visual profiles can successfully engage with AAC when appropriate adaptations are provided. The pilot study in Chapter 3 indicated that caregivers and graduate student clinicians can learn and implement naturalistic AAC techniques and VI accommodations with high fidelity through structured coaching. The mixed methods study in Chapter 4 introduced the ImPAACT-VI program, showing strong outcomes in educator performance, students’ symbolic …