Digital Commons Network^™

Targeting The Dorsolateral Prefrontal Cortex With Transcranial Direct Current Stimulation To Improve Depression And Anxiety In Parkinson's Disease, Brock Renicks

Honors Theses

The aim of this study is to observe the outcomes of transcranial direct current stimulation (tDCS) as a treatment for Parkinson’s Disease (PD). This study will primarily look at changes in depression and anxiety, as these symptoms are often comorbid with Parkinson’s Disease. Transcranial direct current stimulation is a non-invasive, very low-intensity form of electrical stimulation of the brain. It is being increasingly used as a form of treatment for Parkinson’s Disease and depression and anxiety, however the literature is ambiguous, showing mixed results throughout various studies, with no standardization of tDCS administration. To determine the effect of tDCS on …

Community Perceptions Of A Hospital-Based Doula Program In Mobile, Alabama, Sarah Laney

Honors Theses

Background: The maternal mortality ratio in the United States is much higher than the mortality rate for women who live in other countries with similar Human Development Index scores. Black women are more likely to die than their white counterparts. Most of these deaths are preventable. Patients feel like they are being ignored, or that they are not being seen. Doula care is a possible solution to these problems.

Purpose: The purpose of this study was to assess patient understanding and perception of doulas as well as comparing desire for doulas to demographics and past experiences to search for relationships. …

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

Honors Theses

No abstract provided.

A Program Evaluation Of A Family-Based Healthy Weight Program For Overweight And Obese Children And Their Families, Ashley Heimbouch, Margaret Platel, Kelly Betts

Doctor of Nursing Practice Projects: College of Nursing

This project’s purpose was to complete a program evaluation of the Building Healthy Families (BHF) program to determine its effect on children and their families’ health outcomes. The specific aims of success were 1) an improved perception of health-related quality of life for children and parents and 2) decreased body mass index (BMI) percentiles for age and sex in children from baseline measurements and scores compared to measurements and scores at 3 months and 6 months of program completion. The project was completed in a community setting on the University of Nebraska Medical Center’s Western Nebraska campus, and the population …

Improving Fairness On Semantic Segmentation Using Large Language Models, Samuel E. Burggraf

Electrical & Computer Engineering Projects for D. Eng. Degree

As machine learning systems are increasingly integrated into critical decision-making processes, ensuring fairness in their design and implementation has become a significant concern. While fairness research has primarily focused on specific protected attributes, less attention has been given to spatial fairness, which can affect individuals at specific locations. If fairness is not addressed, models may systematically underperform in certain regions or across populations which can lead to unequal access to accurate predictions and potentially biased decision-making. Fairness considerations should extend across all machine learning applications to align with the National Institute of Standards and Technology (NIST) guidelines of fair and …

Agency Fact-Making, Haiyun Damon-Feng

Articles

Modern administrative-law scholarship, theory, and doctrine generally conceptualize agencies as engaging in three primary functions: rulemaking, enforcement, and adjudication. This understanding of agencies has informed deep debates surrounding the power, independence, and constitutional legitimacy of the administrative state. But the prevailing account is incomplete. It overlooks a fourth core function of the administrative state: its fact-making, or epistemic, function. Across the administrative state, agencies create and disseminate information in ways that are uniquely comprehensive and uniquely powerful. Agencies’ epistemic outputs include the census generated by the Census Bureau, repositories of public-health information maintained by the Centers for Disease Control and …

Conserved Spatial Proximity And Immune-Linked Evolution Of Lncrnas From Protein-Coding Genes In Vertebrates, Sahar Jamialahmadi

Master's Theses and Capstones

Long non-coding RNAs (lncRNAs) are widespread components of vertebrate genomes, yet theevolutionary principles governing their genomic positioning, origin, and functional associations remain incompletely understood. Here, we performed a comparative genomic analysis across 96 vertebrate species to investigate the spatial relationship between lncRNAs and protein-coding genes, their evolutionary trajectories within gene families, and their functional and genomic contexts.

We show that lncRNAs are consistently positioned in close proximity to protein-codinggenes across vertebrates, with distance distributions significantly deviating from random genomic placement in all species examined. Despite this non-random organization, genome-wide lncRNA–mRNA distance distributions were highly conserved across species. Ancestral state reconstruction …

A Data-Driven Assessment Of Coastal Roadway Vulnerability Using Observed Storm Damage Locations, Jack Kearing

Master's Theses and Capstones

Coastal roadways are increasingly vulnerable to storm impacts and sea level rise. One common failure mode during these events is roadway washout, defined in this study as the physical loss or structural failure of roadway segments due to erosion, overtopping, or hydraulic failure. Washout events can disrupt transportation networks, restrict emergency access, and isolate coastal communities, highlighting the need for improved predictive methods that move beyond index-based assessments toward data-driven identification of vulnerable roadways.This study develops a data-driven framework for assessing roadway washout vulnerability using observed damage data and environmental predictors. Machine learning models, including random forest and decision tree …

Vegetation Mediates Methane Ebullition Across Temporal Scales In A Temperate Peatland: A 10-Year Dataset, Apryl L. Perry

Master's Theses and Capstones

Wetlands are the largest and most variable natural source of methane (CH₄) to the atmosphere, contributing an estimated 161 Tg CH₄ yr-1 globally. Climate and anthropogenic changes can alter hydrology, geochemistry, and vegetation, generating substantial variability in CH₄ emissions across landscapes. Long-term measurements of CH₄ fluxes, inclusive of all transport pathways (ebullition, plant transport and diffusion), are rare but essential for understanding wetland contributions to the global carbon cycle. We present a decadal dataset of ebullitive CH₄ emissions from a temperate peatland, examining variation among vegetation types and relationships with environmental drivers. We found that ebullitive CH₄ fluxes were highest …

Home-Level Flood Damage Assessment With Physics-Constrained Deep Learning, James Ojoawo

Master's Theses and Capstones

Flood damage to residential buildings is commonly estimated using depth-damage functions that treat buildings as interchangeable, ignoring differences in size and layout that influence damage outcomes. In this work, we present a physics-informed neural network that incorporates building characteristics (floor area, bedrooms, bathrooms, stories and garage spaces) and reduces physically implausible predictions in which damage decreases as flood depth rises. The model predicts both the mean and uncertainty of percent damage and is tuned to balance physical consistency and predictive accuracy. Model interpretation shows that building characteristics collectively account for nearly half of predicted damage variability, highlighting the importance of …

Scaling Of Thermal Conductivity In The Eliot Formation, Ryan Todd Siegel

Master's Theses and Capstones

Heat flow governs the performance of geothermal energy systems, and thermal conductivity is the primary material property controlling subsurface heat transfer. This study investigates heat flow through media with spatially variable thermal conductivity within the heterogeneous Eliot Formation, a metamorphic unit extending across the coastal region of northeast New England. The objective of this work is to develop an approach for scaling thermal conductivity from core-scale measurements to field-scale values representative of geothermal borefield systems.Divided bar thermal conductivity testing, petrographic analyses, geological observations, and existing literature were integrated to construct a MODFLOW model that captures the heterogeneous thermal behavior of …

The Impact Of Ai Companions On Family Law, Clare Huntington

Cardozo Law Review

People of all ages and backgrounds regularly use AI companions—virtual friends, lovers, and confidantes powered by artificial intelligence. As a new form of relationship, this development poses novel doctrinal and policy questions for family law. As a doctrinal matter, what does child neglect look like when a parent delegates caretaking to an AI companion? How should standards for elder neglect adapt to the widespread use of robotic caregivers? Should lawmakers impose mandatory reporting requirements on therapy bots if children share experiences of abuse or neglect? And can people designate an AI companion as a health care proxy? As a policy …

Quantifying Macrophyte Ecosystem Services And Improving Environmental Nonprofit Messaging, Peyton R. Hughey

All Theses

Environmental nonprofits are essential to the management and restoration of our natural spaces. They are also tasked with engaging the public via outreach, education, and advocacy. As natural spaces are degraded, the ability of environmental nonprofits to deliver on their missions will become increasingly important. This study aimed to improve two approaches to environmental nonprofits’ missions: ecological restoration and social media communication.

Environmental nonprofits operate with limited resources, and ecological restoration can be an exhaustive task; therefore, we explore functional restoration as a tool. In this study, we focus on the use of functional, trait-based restoration to restore ecological function …

The Everlasting Bite Of The Colonizer In Contemporary Vampire Narratives, Emily Hatchett

All Theses

In the 1897 novel Dracula, Bram Stoker opens the vampire's coffin, unleashing the monstrous figure meant to terrify and control the inhabitants of late Victorian England. Following the vampire's journey from Transylvania to England, Stoker traces its desire to gain entrance into society through the British country house. Nevertheless, the vampire transforms as it makes its next journey to America. Leaving behind its haunting presence and adopting a loving, romantic personality that has rooted itself in our contemporary literature. It's also through this journey that the vampire is drawn to the lingering effects of colonization and is led to …

Decoding Trafficking Films: Advocate Perspectives On Human Trafficking Portrayals, Avery Mock

All Theses

The crime of human trafficking is often used as a plot point in popular action films in the United States, however, many of these portrayals do not fully represent the truth of the crime, how it occurs, and who the victims are. Nonprofit organizations often combat this misrepresentation to re-educate the public, in addition to aiding survivors and fighting for legislation. Previous research has looked into false representations of human trafficking in both news and fictional media, as well as public and advocate sentiments of popular film portrayals. This thesis aimed to better understand the ways in which anti-trafficking advocates …

Between Chronicle And Legend: A Two-Scene Environment And Visual Effects Examination Of Physical Accuracy And Emotional Exaggeration On The Honey Creek Bridge Collapse, Alison R. Gaddy

All Theses

This thesis explores how truth and dramatization intersect in digital storytelling by comparing realistic and stylized simulations of the Honey Creek bridge collapse within the context of the Kate Shelley animated short. At the core of storytelling lies a tension between factual accuracy and dramatic stylization. We investigate that tension by examining how narrative truth is conveyed, distorted, or enhanced through visual dramatization by focusing on the psychology of audience perception and the motivations behind creative embellishment. The practical contribution of this research is the development of two distinct digital scene setups depicting the same Honey Creek bridge collapse event. …

The Impact Of The Video Assistant Referee On Aggregate Match Outcomes And Measured Home-Field Advantage In European Soccer, Christopher P. Vetter

All Theses

The introduction of Video Assistant Referee (VAR) in European soccer aimed to improve referee decision accuracy in high-impact situations. This study examines the association between VAR implementation and match outcomes across Europe’s five major leagues. Exploiting the staggered adoption of VAR in Europe’s leagues between 2017 and 2019, the analysis utilizes both OLS and event study frameworks to evaluate average and dynamic patterns in match outcomes.

The results do not provide clear or consistent evidence of systematic changes in aggregate match outcomes following VAR implementation. While some event-time estimates suggest possible delayed movements in outcomes such as goals and yellow …

Neural-Network-Based Modeling Of Grid-Forming Inverters, Jacob D. Levesque

All Theses

Renewable energy production has grown significantly in recent years and continues to expand, resulting in an increasing number of inverter-based resources (IBRs) in the grid. As the number of IBRs in the grid continues to grow, grid-forming (GFM) inverters are becoming increasingly popular due to their ability to regulate voltage and frequency, providing increased grid stability and enabling islanding. As GFM inverters become more widely used in power systems, accurate and efficient models of their behavior are needed for system design purposes.

Emerging advances in neural networks have led to research on computationally efficient neural-network-based (NN-based) modeling approaches for inverters. …

The Dam Plan Matters: Proactive Policy And Nature-Based Solutions For Deliberate Dam Removal, Leah Kaisner

All Theses

Throughout the United States, the dam infrastructure is aging out of their lifespan. This increases risk of loss of life and property, particularly with dam failure. Dam aging necessitates proactive planning methods is needed to prepare communities for dam removal effects rather than responding to failure disasters. This thesis studies how city planners and local officials can use nature-based solutions, river restoration, and resilient policy tools to prepare for upstream dam removal. I created a Dam Removal Preparedness (DRP) Framework for integrating nature-based solutions, resilient policy, and restoration methods and used it as a scoring system to assess community plans’ …

Understanding Barriers To Breast Cancer Screening Among Rural Women In South Carolina: A Qualitative Study Using The Idea Model, Israt Jahan

All Theses

Breast cancer screening rates remain low among rural women in South Carolina, leading to higher incidences of late-stage cancer diagnosis. This qualitative study used semi-structured interviews to investigate reasons why many women delay or avoid screenings, even when free screening programs such as the Best Chance Network are available in South Carolina. Guided by the IDEA model, the study explored how women interpret cancer risk, how they seek and trust cancer information, how they understand screening explanations, and what barriers affect their ability to take action. Participants described fear of pain, fear of diagnosis, personal relevance, confusion about the screening …

Increasing The Number Of Injections Per Cycle In A Gasoline Compression Ignition Strategy: An Experimental Study, Joshua Murray

All Theses

Gasoline Compression Ignition (GCI) is an advanced compression ignition strategy which utilizes the high octane number of gasoline to improve diesel soot and NOx emissions by enabling partially premixed injections of fuel. GCI work in the literature typically uses single, double, or triple injection strategies, with higher numbers of injections noted for their ability to achieve low MPRRs, improved soot and NOx emissions, and higher efficiency. Thus, this study extends the literature by evaluating quadruple and quintuple injection strategies for continued improvement in engine efficiency and emissions.

The experiments in this work are conducted on a heavy-duty Detroit Diesel DD13 …

Polydactyl Precursors: Insights Into Early Tetrapod Locomotion From Polydactyl American Alligators, Trevor P. Brewington

All Theses

Several of the earliest tetrapod lineages exhibited polydactyl limbs, with seven or eight digits per limb rather than the typical five or fewer seen in extant lineages. How these digit configurations might have been used during terrestrial locomotion is unclear, given the lack of living models in which their performance can be studied and limited evidence from fossil trackways. However, polydactyly occasionally appears in natural populations of American alligators (Alligator mississippiensis), animals with body plans that broadly resemble those of early tetrapods. To test how polydactyl limbs similar to those of early tetrapods might have functioned on land, …

Exercise-Induced Muscle Damage As A Model For Exploring The Effects Of Pain On Gait, Sydney Savage

All Theses

Persistent gait asymmetry following anterior cruciate ligament reconstruction (ACLR) is a recognized contributor to post-traumatic knee osteoarthritis, yet the independent role of pain in driving altered movement patterns remains poorly understood due to confounding factors inherent to clinical populations. This study used exercise-induced muscle damage (EIMD) as a controlled experimental model to isolate the effects of musculoskeletal pain on gait, independent of kinesiophobia, structural damage, and proprioceptive disruption. Eighteen healthy adults underwent unilateral eccentric calf-raise protocols to induce delayed onset muscle soreness (DOMS), with gait assessed at baseline, 48 hours, and 168 hours post-exercise using bilateral inertial measurement units. Outcomes …

Design And Development Of A Perfusable Hydrogel Platform With Bioprinted Human-Endothelialized Microvascular Channels, Calvin A. Chernyatinskiy

All Theses

We developed an integrated bioprinting and perfusion platform to generate vascularized hydrogel constructs that support perfusable microchannel networks. Multiple hydrogel formulations, sacrificial ink systems, device geometries, and perfusion conditions were systematically evaluated to optimize print fidelity, mechanical stability, and cellular compatibility. Internally gelling alginate–calcium carbonate hydrogels were identified as a robust matrix, providing tunable gelation kinetics and structural stability during embedded printing. In parallel, Pluronic F-127 fugitive ink enabled reliable fabrication of continuous hollow channels due to its shear-thinning behavior and efficient post-print removal.

The finalized platform integrates stereolithographically fabricated perfusion chambers with extrusion-based bioprinting to produce three-dimensional, perfusable vascular …

Exploration Of Real-Time Power Electronic Simulation On Amd Npu, Shouyu Du

All Theses

The rapid electrification of the automotive and data center sectors has created a critical demand for high-fidelity, real-time simulation of complex power electronic systems. While Hardware- in-the-Loop (HIL) simulation on Field-Programmable Gate Arrays (FPGAs) is the current industry standard, it presents significant challenges regarding development complexity and memory limita- tions. This dissertation investigates the feasibility of utilizing Neural Processing Units (NPUs)— specifically the AMD AI Engine (AIE) XDNA2 architecture—as a novel platform for real-time, deterministic circuit simulation. This study establishes a comprehensive automated modeling framework based on graph theory and Massarini’s method to derive linear state-space representations for arbitrary circuit …

Identification, Pathogenicity, And Fungicide Sensitivity Of Itersonilia Perplexans Associated With Petal Spot Of Gerbera Cut Flowers In Colombia, Matheus Beger

All Theses

Petal diseases significantly affect gerbera cut flower production, as minor visual damage renders flowers unmarketable. Among those pathogens causing petal spots, Itersonilia perplexans affects some Asteraceae plants. However, this pathogen's impact on Colombian gerbera remains poorly studied. This study was designed to fill four gaps: molecular identification of Colombian isolates, confirmation of pathogenicity, standardized culture media, and fungicide sensitivity data. Four objectives were pursued: (i) isolate and identify the causal agent through sequencing the Internal Transcribed Spacer, Small Subunit and Large Subunit from the rDNA; (ii) evaluate pathogenicity on detached gerbera petals; (iii) identify optimal culture media for I. perplexans …

Addressing Medical Mistrust Among Women: Effects Of Narratives Acknowledging Mistrust On Identification, Credibility, And Persuasive Outcomes, Kylie A. Friday

All Theses

This study examines the effectiveness of narratives addressing medical mistrust in addressing medical mistrust and promoting preventive sexual health behaviors among women. Drawing on narrative persuasion frameworks, this research investigates how tailoring to aspects of medical mistrust influences identification, transportation, credibility, emotions, and persuasive outcomes. Particular attention is given to the role of medical mistrust as a key audience characteristic that may influence how individuals engage with and interpret health messages. By considering both emotional and cognitive mechanisms of persuasion, this study advances a more nuanced understanding of how narratives may function differently across audiences with varying levels of trust …

Connection Through Crisis: A Thematic Analysis Of Dialogic Public Relations And Renewal In Social Media Posts From Nonprofit Organizations During Hurricane Helene, Cassidy L. Gruber

All Theses

During a crisis, nonprofit organizations must communicate quickly and ethically with their stakeholders to maintain a good relationship. Data was collected from nonprofit organizations’ Instagram and X accounts during a one-month period surrounding Hurricane Helene in 2024 to see how organizations were communicating with their stakeholders during a crisis. This study found that nonprofit organizations were implementing elements of dialogic communication and renewal into their social media messages. It was also found that national and global organizations were more vocal than local and regional organizations during the crisis. This research highlights the importance of communicating ethically with stakeholders during a …

I Am The Perfect Wife: The Bildungsroman And The Disruption Of The System In Jane Eyre And The Hunger Games, Carolyn Carpenter

All Theses

None.

Energetic Eutectics: An Experimental And Computational Investigation On Explosive Deep Eutectic Solvents, Connor J. Parker

All Theses

This study reports on the incorporation an extreme gradient boosting (XGBoost) machine learning strategy tailored to identifying potential high-energy, insensitive explosive deep eutectic solvents. 1,1-diamino-2,2-dinitroethylene (FOX-7) was investigated as the explosive of interest in our eutectic modeling. The resulting predictions highlighted a wide range of binary compositions demonstrating significant depression from the FOX-7 melting temperature with >70% probabilities of formation. Subsequent computational investigation into select mixtures provided underlying stabilization energies and optimized mixture geometries, which were then assessed experimentally with near simulant compounds oxalyldihydrazide and 1-methyl-3- nitroguanidine replacing FOX-7.

Experimental results with these chosen simulants did not demonstrate classical eutectic …