Digital Commons Network^™

Purine Metabolic Adaptation Protects The Endothelium From Disturbed Flow-Induced Dna Damage And Atherosclerosis, Qian Ma, Yongfeng Cai, Zhidan Zhang, Dingwei Zhao, Yuan Zhao, Peishan Xu, Tammy Lu, Wendy Zhang, Qiuhua Yang, Yaqi Zhou, Varadarajan Sudhahar, Tohru Fukai, Hanjoong Jo, Yiming Xu, Yuqing Huo

Faculty, Staff and Students Publications

Despite effective lipid-lowering therapies, atherosclerosis continues to be a leading cause of death, with considerable residual cardiovascular risk. Atherosclerotic lesions develop preferentially at arterial regions exposed to disturbed flow (d-flow), which induces genomic stress, endothelial injury, and barrier dysfunction. Hemodynamic forces are known to reprogram endothelial metabolism, but the role of de novo purine synthesis (DNPS), which supplies nucleotides for genome maintenance and whose terminal steps are catalyzed by the bifunctional enzyme ATIC, remains undefined in atherosclerosis. By integrating bulk and single-cell multiomics with in vitro flow systems and in vivo models, we show that d-flow upregulates DNPS and ATIC …

Variation In Prevalence Of Participation Limitation, Injury Location, And Training Habits Between Young And Master Runners: A Cross-Sectional Study, Rachel Berns, Jo Armour Smith, Natalia Sánchez, Samantha N. Jeffcoat, Susan Sigward, Andrew Hooyman, Shawn Farrokhi

Physical Therapy Faculty Articles and Research

Background/Objectives

Running is a popular form of physical activity, but its growing participation has been accompanied by high rates of injury that may limit ongoing engagement, particularly in older runners. This study explored differences in running participation limitation, injury location, and training characteristics between young (18–34 years) and master (>35 years) runners.

Methods

A total of 207 runners (105 young, 102 master) completed an online survey assessing demographics, training habits, and injury-related participation limitations using the updated Oslo Sports Trauma Research Center Overuse Injury Questionnaire.

Results

Master runners reported higher rates of injury-related participation limitation than young runners (51% …

Emerging Near-Infrared Targeted Imaging Pharmaceutics For Ovarian Cancer, Angel J. Phillip, Annu Karithara, Subhash Chauhan, Murali Yallapu

School of Medicine Publications

Background: Accurate intraoperative identification of ovarian cancer is challenging, as standard techniques such as visual inspection, palpation, and histopathology often fail to detect microscopic disease. Residual tumor contributes to poor cytoreductive outcomes, high recurrence rates, and chemoresistance. Near-infrared (NIR) imaging using tumor-specific biomarkers has emerged as a promising approach to enhance intraoperative visualization and improve tumor margin delineation. Methods: A focused literature review was conducted using PubMed to identify preclinical and clinical studies evaluating NIR image-guided strategies in ovarian cancer. Studies involving tumor-targeted probes against folate receptor alpha, α3-integrin, mesothelin, and CA125 were included, with emphasis on probe design, delivery, …

Nurturing The Nurturers: Caritas Literacy Wellness Program, Pakeeza Ali

Doctoral Projects

Burnout, compassion fatigue, and emotional exhaustion remain significant concerns among oncology staff in high-demand ambulatory settings. This quality improvement project implemented the Caritas Literacy and Resilience Training Program (CLARITY), a microlearning-based intervention grounded in Watson’s Caring Science Theory, to support self-caring behaviors and emotional resilience among oncology staff in an ambulatory cancer center. A quasi-experimental, mixed-methods design was used, incorporating pre- and post-intervention survey data and qualitative focus group feedback. Quantitative outcomes were assessed using the Watson Caritas Self-Rating Score (WCSR) and post-intervention ratings of perceived effectiveness of the microlearning format. Wilcoxon signed-rank tests were used to examine pre-post change …

Airborne Fungal Monitoring In Healthcare Environments: A Systematic Review, Dana L. Surwill, Patricia Cruz, Mark P. Buttner, Jennifer R. Pharr, Nancy Lough, Theresa T. Roehr

Environmental & Global Health Faculty Research

Background: Fungal infections pose a significant threat to public health, with over 6.55 million cases and 2.55 million deaths annually. Exposure to fungal spores in indoor environments primarily occurs through inhalation or direct contact with surfaces. Monitoring is critical for early detection and prevention of outbreaks, yet routine airborne fungal testing is not universally mandated across healthcare settings. Methods: A systematic review of peer-reviewed articles from four databases was conducted to identify current airborne fungal monitoring guidelines and best practices for sample collection, culture media, incubation conditions, and results interpretation. Results: Eighteen articles met the inclusion criteria, and four studies …

2025 Nursing Annual Report, Children's Health System Of Texas

2025

No abstract provided.

Automated Analysis Of Radiation Oncology Incident Reports Using Large Language Models, Nathan A. Dobranski

LSU Master's Theses

Patient safety incident reporting in radiation oncology requires expert analysis that is time-intensive and subject to variability. This thesis presents the development and technical validation of a locally deployed large language model (LLM) system for automated incident report analysis across multiple cancer centers. The system was designed for automated summarization and taxonomy assignment of Radiation Oncology Incident Learning System (RO-ILS) reports, operating entirely on local infrastructure to preserve patient privacy. A two-round, multi-rater evaluation methodology was employed, incorporating 600 total expert evaluations from two academic cancer centers. Round 1 established baseline performance using Mistral 7B and Mixtral 8x7B models with …

Staff Education Project:  Cultural Competency For Outpatient Nurses Caring For Adult Patients With Suds, Chloe Hylaire

Walden Dissertations and Doctoral Studies

No abstract provided.

Randomised Controlled Trial Comparing Antibiotic Cement Bead Pouch Versus Negative Pressure Wound Therapy For The Management Of Severe Open Tibia Fracture Wounds: Beads Versus Vac (Bvv) Protocol, Lucas S Marchand, Gerard Slobogean, Nathan N O'Hara, Anthony D Harris, David W Grainger, Lehana Thabane, Mohit Bhandari, Gregory J Della Rocca, Patrick J Kellam, Robert D Zura, Debra Marvel, Jeffrey L Wells, I Leah Gitajn, Kyle J Jeray, Robert V O'Toole, Zachary M Working, Roman M Natoli, Patrick F Bergin, Jennifer E Hagen, Ashley E Levack, Ernesto Guerra-Farfan, Gregory M Schrank, Joan N Hebden, Franca Mossuto, Cassandra Tsoutsounakis, David Pogorzelski, Hailey Pineda, Sofia Bzovsky, Sheila Sprague, Bvv Investigators

Faculty, Staff and Student Publications

Introduction: Early open fracture management aims to minimise the risk of complications. For the most severe open fracture wounds, multiple irrigation and debridement surgeries are required to overcome severe wound contamination, to reassess the evolving tissue injury or to temporise and plan further surgery. When multiple irrigation and debridement surgeries are needed, uncertainty remains about how the open fracture wound should be managed to best minimise complications. The primary aim of this trial is to compare the antibiotic cement bead pouch vs negative pressure wound therapy in the management of patients with severe open tibia fracture wounds.

Methods and analysis: …

Faircarenlp: An Ai-Driven Patient Review Analyzer For Healthcare, Sayyed Mohammad Pourya Momtaz Esfahani, Davey Seeman, Christoffer Dharma, Mohammad Noaeen, Shion Guha, Zahra Shakeri

Health Services and Informatics Research

Objective

To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language Processing (NLP) and machine learning methods to improve the efficiency, fairness, and accuracy of healthcare feedback analysis.

Materials and methods

We designed a multi-component pipeline incorporating sentiment analysis, key theme extraction, clinical Named Entity Recognition (NER), and fairness modules. Bias mitigation was addressed through the integration of three complementary approaches: adversarial debiasing, Hard Debiasing, and Iterative Null-space Projection (INLP). Multiple BERT-based models (DistilBERT, BioBERT, RoBERTa-base, BERT-base-uncased) were trained and evaluated under varying hyperparameters and fairness/adversarial loss configurations. Model performance was assessed using accuracy, F1, recall, …

Ais26s: Ai In Biomedicine, Shiqian Shen

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation explores the role of artificial intelligence in advancing biomedical research and clinical practice from the perspective of a physician-scientist. Dr. Shiqian Shen discusses current challenges in neuroscience and medicine, including limitations in human observation, data analysis, and decision-making across complex biological systems. The talk highlights how AI-driven approaches such as computer vision, neural signal processing, and large-scale data modeling can improve the understanding of disease mechanisms, enhance experimental workflows, and enable more precise, patient-centered care. Specific applications include automated classification of neural activity, behavioral analysis in animal models, and multimodal data integration. A key concept introduced is “shadow …

Syrah: A Pipeline To Maximize Spatial Transcriptomics Data Output, Carolyn Brewster, Frederick G Mann, Blair Benham-Pyle, Alejandro Sánchez Alvarado

Faculty, Staff and Students Publications

Spatial analysis of gene expression patterns has been a key technique for revealing the potential functions of genes. Traditionally, these analyses conducted using in-situ hybridizations and other labor-intensive protocols were constrained to examining only a few candidate genes per sample. However, the advent of spatial transcriptomic techniques like Slide-seqV2 has transformed this field, enabling massively parallel exploration of gene expression patterns within their tissue contexts by pairing spatial locations with RNA sequencing. Despite its potential, Slide-seqV2 datasets often produce fewer usable reads than expected. We have identified that a significant source of errors in the technology stems from the chemical …

Nuclear Export As A Therapeutic Vulnerability In Zfta-Rela Ependymoma, Siri M Ippagunta, Amir Arabzade, Srinidhi Varadharajan, Erik Emanus, Amanda Bland, Alisha Kardian, Nicholas Laboe, Hua Sun, Tuyu Zheng, Amelia Hancock, Mark Zhai, Emma Caesar, Maxwell Park, Wilda Orisme, Melissa Johnson, Brittany Rodgers, Gregory H Turner, Jeffrey Steinberg, Burgess Freeman, Martine F Roussel, Anang Shelat, Richard Kriwacki, Thomas E Merchant, Benjamin Deneen, Michael D Taylor, Sameer Agnihotri, Shondra Pruett-Miller, Jacob A Steele, Anoop Murthy Kavirayani, David W Ellison, Arzu Onar-Thomas, Giles Robinson, Stephen C Mack, Kelsey C Bertrand

Faculty, Staff and Students Publications

Background: Ependymoma (EPN) is the third most common pediatric brain tumor with no targeted therapies available to patients. In supratentorial ependymoma, the most frequent driver alteration is a gene fusion between ZFTA and RELA (denoted ZR), leads to constitutive localization of ZR in the nucleus. Because ZR is not currently druggable, we tested whether ZR expression leads to aberrant protein interactions that could represent therapeutic vulnerabilities.

Methods: Using CRISPR-Cas9 pooled screening, we identified many novel druggable ZR interacting proteins including XPO1, CARM1, SMARCA4, and CDK1. We focused on the nuclear export protein (XPO1), given the ability of most XPO1 inhibitors …

Antibody-Drug Conjugates Beyond Her2 In Non-Small Cell Lung Cancer (Nsclc): Mechanisms, Emerging Targets, And Future Directions., Ahmed Ismail, Aakash Desai, George R Simon, Yanis Boumber

Oncology Articles

Antibody-drug conjugates (ADCs) are a rapidly evolving class of oncology therapeutics that enable precise delivery of potent cytotoxic agents to tumor cells while minimizing systemic toxicity. While HER2-targeted ADCs such as trastuzumab deruxtecan (T-DXd) in HER2-mutant, Datopotamab deruxtecan (Dato-Dxd) in EGFR-mutant, and telisotumumab vedotin (Teliso-V) in MET IHC 3+ expressing lung cancer have already established a clinical role in non-small cell lung cancer (NSCLC), multiple ADCs targeting alternative antigens, including additional TROP2 ADCs, HER3, MET, CEACAM5, B7-H3, Nectin-4, and others, are now in advanced clinical development. This review synthesizes the current evidence for non-HER2 ADCs in NSCLC, highlighting mechanisms of …

Delivering Food, Exercise, And Nutrition Education For The Prevention Of Chronic Disease, Ava Caron

Human Nutrition and Hospitality Management Undergraduate Honors Theses

Chronic diseases such as diabetes, heart and respiratory diseases, cancer, and stroke pose significant health challenges in the United States, with Arkansas experiencing some of the highest rates of related mortality. This project aimed to improve health literacy related to nutrition and physical activity among adults at risk for chronic disease in Arkansas, focusing on those living independently in Ozark, Ouachita, and Delta regions, as well as cooperative extension agents in Family & Consumer Sciences. Using a mixed-methods approach involving surveys and focus groups, the study explored participants’ nutrition knowledge, health awareness, physical activity engagement, and preferred methods of receiving …

Seasonal Body Composition And Neuromuscular Changes In High School Wrestlers: Medicine Balls For Fatigue Testing, Courtney Mccall Condie Carroll

All Graduate Reports and Creative Projects, Fall 2023 to Present

This study examines the effects a single wrestling season has on high school athletes’ body composition, muscle quality, membrane capacitance, and neuromuscular performance, and whether instrumented medicine balls are sensitive enough to serve as a field test for chronic fatigue. Twenty-five high school wrestlers (males=18, females=7) were recruited and assessed pre-season (Pre), mid-season (Mid), and end-of-season (Post). Outcome measures included body mass, fat-free mass, fat mass (via bioelectrical impedance spectroscopy), echo intensity (EI, via B-mode ultrasound) of the vastus lateralis (VL) and biceps brachii (BB), and countermovement rotational and backward-overhead throws with medicine balls instrumented with accelerometers.  Repeated measures ANOVA …

Connecting With Augmentative And Alternative Communication Users: An Internship Report, Karaline Kerzie

Communication Disorders and Occupational Therapy Undergraduate Honors Theses

This article evaluates and reflects on personal experiences working with children with autism in an early intervention, multidisciplinary setting. Implementation of Applied Behavior Analysis, Speech-Language Pathology, Augmentative and Alternative Communication, and Occupational Therapy techniques created a multifaceted and comprehensive intervention environment in a free-clinic setting.

Clawing Our Way To Inclusion: Identifying Minority Students’ Barriers To Entering The Veterinary Medicine Profession, Danielle Reeves

Animal Science Undergraduate Honors Theses

Veterinary services are being utilized more each year as pet owners are increasingly viewing and treating their pets like family members. Due to this changing perspective, the veterinary profession has grown significantly. Yet, despite this change, there is a lack of ethnic/racial diversity within the veterinary field. The purpose of this study was to determine the factors and/or barriers associated with minority students' desire or lack of desire to pursue a career in veterinary medicine. This study used an online survey tool to collect qualitative and quantitative data from 423 undergraduate students at the University of Arkansas during the spring …

Plan To Develop A Theory-Based Diabetes Social Media Campaign For Spanish-Speaking Adults In Finney County, Ks: Integration Of A Promotora, Focused Discussion Groups, And Community Feedback To Ensure Cultural Appropriateness, Julevi P. Bernido

Capstone Experience: Master of Public Health

The 2025 Community Health Needs Assessment (CHNA) shows that over 11% of adults in Finney County, Kansas, have diabetes, which surpasses both state and national averages. Census data from 2016-2020 indicate that 42.6% of residents ages five and older speak a language other than English at home, and 36.1% speak Spanish (United States Census Bureau, n.d.). The CHNA further highlights concerns about language and cultural barriers to care, especially among the Spanish-speaking population. Notably, 21.74% of residents have limited English proficiency—much higher than the state’s 12.1% (CHNA, 2025).

This capstone will develop a theory-based social media campaign plan to support …

Improving Dimensional Stability Of Irreversible Hydrocolloid By Condensation Silicone Incorporation, Jefferson David Melo De Matos, João Pedro Oliveira De Batista, Jozely Francisca Mello Lima, Mário Alexandre Coelho Sinhoreti, Umberto Demoner Ramos, Daher Antonio Queiroz, Daniel Sartorelli Marques De Castro

Faculty, Staff and Student Publications

Background: Irreversible hydrocolloid (alginate) is widely used for dental impressions, but its poor dimensional stability over time limits accuracy when delays in pouring occur. Enhancing its stability through material modification, such as incorporating condensation silicone, may improve clinical outcomes.

Materials and methods: Three groups (n = 10) were evaluated: Group I (conventional alginate, Avagel), Group II (extended-pour alginate, Hydrogum 5), and Group III (alginate modified with condensation silicone). Specimens were fabricated using standardized molds and stored under controlled humidity. Dimensional stability was assessed at five time points (immediate, 24, 48, 72, and 120 h) by measuring mass and linear dimensions. …

Metabolic And Replicative Constraints On Pathogen Virulence: Isoleucine Catabolism In Shigella And Comparative Tanapoxvirus Replication In Cell Cultures, Benecia Angelica

Masters Theses

Pathogens survive by balancing metabolic demands with environmental challenges that shape their virulence and adaptability. Shigella flexneri, a highly infectious human pathogen responsible for severe diarrheal disease worldwide, utilizes branched-chain amino acid (BCAA) metabolism to withstand stress conditions encountered within the host environment. In this study, we explored the Shigella isoleucine catabolism pathway by knocking out four genes in the S. flexneri isoleucine catabolic pathway (ilvE, fadA, fadD, and acnB) and examining their metabolism and virulence. We found that the ilvE and acnB mutants displayed reduced metabolic activity and smaller plaque size, while the fadD mutant showed decreased invasion. In …

The Effects Of Dietary Interventions On Gut Microbial Balance In Healthy Adults: An Integrative Review, Miranda Demars

Senior Honors Theses

The goal of this review is to answer the question: What dietary changes are most effective in restoring gut dysbiosis in healthy adults? The gut microbiome (GM), a community of microorganisms that colonizes in the gastrointestinal (GI) tract, can become imbalanced, a condition known as dysbiosis, which is associated with an increased risk of dysbiosis-induced disease. Dysbiosis-induced diseases include GI disorders such as irritable bowel syndrome (IBS) and inflammatory bowel disease (IBD), neurological disorders such as Alzheimer’s disease (AD) and Parkinson’s disease (PD), and metabolic disorders such as diabetes and obesity (Shen et al., 2025). Pharmacologic interventions are often not …

Volume 17, Christian O’Neill, Kyara Greene, Savva Sidorov, Laura Bisaillon, Luke Clemmer, Hannah Gordon, Kitt Benson, Taylor Blount, Rachel Danzitz, Nicholas Duellman, Chase Gionis, Hima Fernando, Seth Franzyshen, Onyx Gonzalez, Bryan Lin, Samantha Start, Ysabel Wells, Maggie Duncan

Incite: The Journal of Undergraduate Scholarship

Introduction Dr. Amorette Barber, Director, Office of Student Research

From the Editor Dr. Hannah Dudley-Shotwell

Cover Artist’s Statement Maggie Duncan

On Mentoring Dr. Yulia Uryadova

Ukrainian Resistance in the Face of Russification: Nestor Makhno and Anarchism

by Christian O’Neill

Life Vest by Kyara Greene

Isolation and 16S rRNA Identification of Bacteria from Fire Department Connection Pipe by Savva Sidorov

The Effectiveness of Planned Exercise in Reducing ADHD Symptoms in Children by Laura Bisaillon & Luke Clemmer

Linguistic Analysis on Confidence and Communication Strategies with Disparities Between Sign Fluency and Hearing Impairment by Hannah Gordon

Freedmen in Indian Territory by Kitt …

Ai×Life 2026: Advances In Computational Biology Across Scales For Life & Health Sciences, Suma Mohan S., Devika N. T., Pranavathiyani G.

Conference Proceedings

Book of Abstracts of the International Conference, AIxLife 2026: Advances in Computational Biology Across Scales for Life & Health Sciences, held on 17–18 April 2026, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, INDIA 

About the Conference

Conventional computational biology laid the foundation for biological data analysis through statistical models, algorithms, and curated databases, enabling insights into genes, proteins, and pathways. Today, the integration of artificial intelligence, spanning machine learning, deep learning, and large language models (LLMs) is driving a transformative shift across biological scales, from atomic and molecular interactions to pathways, cellular systems, organisms, and populations.

AI-powered approaches …

Immersive Visualization Of Cardiac Segmentation And Analysis, Brandon Norman

Theses and Dissertations

Coronary artery disease remains one of the leading causes of death worldwide, making early detection and treatment critical to reducing mortality. While coronary angiography remains the gold standard procedure for diagnosing coronary artery disease, less invasive methods such as coronary computed tomography angiography and virtual fractional flow re-serve continue to improve. However, taking full advantage of volumetric coronary computed tomography angiography data requires extensive post-processing before the data can support geometric modeling, hemodynamic simulation, and analysis. Existing Open-Source Appli-cations provide powerful tools for these tasks, but their interaction models remain largely desktop based, restricting users to 2d manipulation and hindering …

Modeling Structural Support To Facilitate Novel Treatments Of Degenerative Disc Disease, Jose Luis Calderon

Poster Presentations

Over 600 million people worldwide suffered from low back pain in 2020, with projections for 2050 being over 800 million [1]. Annual costs associated with low back pain total over 450 billion dollars in the US alone [2]. This research serves as a proof-of-concept for the use of structural supports to facilitate intervertebral disc healing. This treatment would involve the implementation of these supports along with existing injection treatments to promote regeneration. In both models, along with the combined model, the ability for these supports to alleviate intervertebral disc height loss is shown. This indicates that these supports would serve …

Himmelfarb Headlines - May/June 2026, The George Washington University, Himmelfarb Health Sciences Library

Himmelfarb Headlines (2009 - present)

News, information, and resources relating to the Himmelfarb Library that is of interest to patrons.

Assessment Of Correctness, Content Omission, And Risk Of Harm In Large Language Model Responses To Ophthalmology Continuing Medical Education Questions, Jacqueline L. Chen, Amanda J. Lu, Rohan Verma, Li Wang, Douglas D. Koch, Allison J. Chen

SKMC Student Presentations and Publications

PURPOSE: To evaluate the accuracy and prose responses of 2 large language models (LLMs) to ophthalmology continuing medical education questions.

DESIGN: Question prompts and multiple choice (MC) answer options were input into the 2 LLMs, and responses were analyzed for accuracy and assessed for evidence of correctness, completeness, bias, and potential harm using a previously reported standardized rubric.

SUBJECTS: Basic and Clinical Science Course questions and MC answer options from the American Academy of Ophthalmology question bank were used as inputs into the 2 LLMs (ChatGPT-4 and Google Vertex's Gemini Pro 1.5).

METHODS: The MC responses were assessed for accuracy …

An Evaluation Of Leading Indicators In The Construction Industry And Their Relationship With Incident Rates, Kitti Miller Whalen

All-Inclusive List of Electronic Theses and Dissertations

Improving safety programs has been a focus of organizations for decades. Historically, focus has been directed towards lagging indicators such as recordable incident rates and experience modification rate (EMR). While these remain beneficial, they are only one component of the broader framework. In recent years, companies have started to examine what occurs prior to an incident, which are known as leading indicators. The research into leading indicators is promising, however research into the area is limited. The focus of this study is to identify which leading indicators are most strongly associated with improved incident rates in the construction industry specifically. …

Construction Workers Noise Exposure And Hearing Conservation Program Needs, Quinn Noelle Overlin

Doctoral Scholarly Projects & Capstones

Noise exposure among construction workers is a pervasive occupational hazard with serious implications for long-term hearing health and overall well-being. This literature review examines the extent of noise exposures in the construction industry and the long-standing need for implementation of effective hearing conservation programs (HCPs). It synthesizes current evidence on exposure levels, health outcomes, and the effectiveness of existing interventions. Findings reveal that construction workers are routinely exposed to noise levels that exceed occupational safety standards, resulting in a heightened risk of noise-induced hearing loss (NIHL) and associated health consequences. Despite regulatory frameworks and available intervention strategies, substantial gaps persist …