Digital Commons Network^™

Understanding How Latinx Millennials Attend To Their Mental Health And Emotional Well-Being: A Phenomenological Study, Natalie A. Nieves

Theses, Dissertations and Culminating Projects

Latinx millennials represent over half of the millennial population in the United States. Yet, existing research on how this population attends to their mental health and emotional well-being remains largely absent from the counseling literature. This descriptive phenomenological study asked: How do Latinx millennials attend to their mental health and emotional well-being? Twelve participants, identifying as Latinx millennials born between 1981 and 1996, residing in the United States, and actively engaging in practices supporting their mental health and emotional well-being, participated in a two-part, semi-structured interview process. Data were collected and analyzed using Colaizzi's phenomenological data analysis method. The findings …

The Cobalt Curse: Cobalt’S Role And Risks, Marley Jackowitz

Student Theses 2015-Present

This paper examines the hidden environmental, geopolitical, economic, and social costs of the cobalt supply chain. Fueled by the demand for battery technology and electric vehicles, cobalt has become an essential element to the green energy transition. With the largest share of global cobalt deposits, the Democratic Republic of the Congo bears a disproportionate share of the industry’s harms. Cobalt mining in the DRC is marked by environmentally degrading practices and inhumane working conditions, compromising Congolese health, safety, and well-being. Chapter 1 discusses the environmental impacts of DRC cobalt mining and its adverse effects on public health. Environmentally degrading mining …

Consumerism In The Digital Age: Environmental And Cultural Consequences, Danielle Andrea Montoya

Student Theses 2015-Present

Overconsumption has emerged as a significant environmental problem, characterized by persistent patterns of buying, using, and discarding goods at rates that exceed ecological limits. In the digital age, these patterns of consumption are reinforced by economic systems, technological advancements, and cultural norms that make constant consumption feel normal and convenient. While consumption is necessary for everyday life, consumption beyond basic needs contributes to increased waste, resource depletion, pollution, and climate change. Overconsumption is embedded in daily habits such as online shopping, food consumption, and frequent product replacement. Therefore, understanding and addressing overconsumption is crucial for achieving environmental sustainability and social …

Personalized Learning Instructional Strategies And Student Engagement, Trisha J. Doverspike

Master of Education Program Theses

This action research project sought to determine the effect of implementing personalized learning instructional strategies on student engagement. Over a six-week period, students were observed for on-task behavior to measure engagement in the Social Studies lessons. Data was collected through observation. Results indicate that implementing personalized learning instructional strategies showed an increase in student engagement and suggest that implementing personalized learning instructional strategies are an effective method of increasing student engagement when compared to teacher-centered instruction.

The Expectation Of Pain: Effects On Threshold, Tolerance, And Perception, Emma Paulus

Mechanical Engineering Undergraduate Honors Theses

Brain activity in pain-related regions of the cortex is thought to be influenced by interactions between expectations and incoming sensory information. However, the subjective experience of pain based on expectation has not been thoroughly explored. By changing visual and auditory cues to set expectation levels, a relationship between unconscious expectation of pain and actual sensory pain experienced was characterized. With IRB approval, volunteers were randomly and blindly grouped into low and high pain expectancy groups. Each group completed a survey about initial pain expectations before the muscle stimulation tolerance test, followed by a survey about actual pain perception after the …

Strengthening Cyber Resilience In Critical Infrastructure: Lessons From Major Attack Case Studies, Jodi Barnes

Data Science Undergraduate Honors Theses

This comparative case study research paper analyzes the Colonial Pipeline attack, the Oldsmar Water Treatment Plant attack, and related case studies to identify past and current gaps in cyber resilience in critical infrastructure.  It provides insights into the importance of cybersecurity and opportunities to enhance protection in an increasingly digital world.  Findings include unsecure practices, limited communication between sectors, outdated technology, and weaknesses in security processes and employee training. These vulnerabilities are interconnected and are largely driven by limited funding within critical infrastructure systems, which restricts the ability to address them effectively.

Reimagining Less-Than-Truckload Pricing Development In Competitive Bid Environments With Artificial Intelligence, Lawson C. Levin

Data Science Undergraduate Honors Theses

This undergraduate thesis explores how data analytics and engineering judgment are used to support pricing decisions in the less-than-truckload (LTL) freight market. It’s based on an internship with ArcBest Corporation. It explains the company’s background, its role in the LTL market, and the responsibilities of a Pricing and Supply Chain Engineer within the Yield department.

Most of the internship was spent evaluating requests for proposals (RFPs), in which a negotiating third party provides a customer’s shipment data that must be cleaned, analyzed, and translated into a comprehensive pricing offer. Using the Data Science Analytics Process as a framework, this thesis …

Prescribing Company Action Through Machine Learning And Ai, Breck T. Husong

Data Science Undergraduate Honors Theses

The purpose of this research is to implement an OpenAI Reinforced Learning prescription-giving model for improving sales on a week-by-week basis. The data used comes from a segment of High Impact Analytics’s sales data that has been anonymized for proprietary reasons. The features among the data include inventory numbers, shipments in transit, total quantity and dollars of products sold each week for the past 2 years, all aggregated at the store-item-week level. In order to build this model, Tigramite, a causal discovery model combined with prediction models XGBoost, Linear Regression, Ridge Regression, Lasso Regression, Scikit-learn’s MLP, and Keras’s Neural Model …

A Comparative Machine Learning Framework For Identifying Ai-Generated Versus Real Celebrity Faces, Sidney Gehring

Data Science Undergraduate Honors Theses

The rapid advancements in the world of generative artificial intelligence has enabled the creation of highly realistic fictitious facial images, raising concerns about authenticity and bias in computer vision systems. This study investigates the capabilities of machine learning models to distinguish between real and artificially generated facial images across gender and race focusing on celebrity imagery. Four datasets were used against the classification model, each trained on images of a single celebrity within distinct demographic groups: White women, White men, Black women, and Black men. For each group, real images are paired with AI-generated counterparts designed to closely replicate the …

A Forecasting Framework For Distribution Center Capacity Utilization: An Applied Industry Study, Jordan J. Shortt

Data Science Undergraduate Honors Theses

This project develops and evaluates a predictive modeling framework for forecasting distribution center capacity utilization at Company Y, with monthly forecast horizons up to one year. Motivated by the operational challenges of seasonal demand volatility, promotional cycles, and the absence of a formally defined capacity metric, the study first constructs a historical capacity utilization measure from raw warehouse management system data — reconciling item volumes, location dimensions, and utilization factors across all DCs — which serves as the target variable for all modeling work. Four models are developed and evaluated against a naïve seasonal baseline: SARIMA, LightGBM, LSTM, and a …

Developing Tracking Compliance Standards For Inbound Freight: A Data-Driven Industry Application At O’Reilly Automotive, Jackson Endacott

Data Science Undergraduate Honors Theses

Visibility of inbound freight is critical for managing operational efficiency, yet many organizations lack standardized compliance metrics for third-party carriers to uphold, preventing them from utilizing tracking data to make data-driven decisions. During a summer internship with the Transportation Department at O’Reilly Automotive, data inconsistencies were addressed in the Transportation Management System (TMS), and that data was utilized to create tracking compliance standards for third-party carriers. Data populated from various sources within O’Reilly’s TMS was cleaned, validated, and utilized to create a Tracking Scorecard that evaluates message transmission rates, timeliness, and errors. This tool provides actionable insights to improve tracking …

Industry Analysis: Consulting Industry, Mckinsey & Company, Lucia Blaha

Theses & ETDs

The thesis analyzes the consulting industry using the Structure–Conduct–Performance (SCP) framework to study McKinsey & Company operations in Germany. The consulting market shows overall market fragmentation, but the high-end strategy market remains dominated by McKinsey, Boston Consulting Group, and Bain & Company (Statista, 2024). McKinsey uses premium pricing together with its worldwide operational capabilities to maintain its dominant market position, which receives constant backing from major corporations and government organizations. The study also examines German and U.S. consulting markets to demonstrate their fundamental differences in structure and operational practices. The U.S. market experiences rapid growth together with new innovations, while …

The Theory Of Structure, Conduct, And Performance: Btg Pactual In The Brazilian Banking And Capital Markets Industry, Gabriela Dos Santos De Medeiros

Theses & ETDs

This paper analyzes the structure and performance of the Brazilian investment banking market, with a specific focus on the performance of BTG Pactual. Using the Structure-Conduct-Performance paradigm and oligopoly theory, this study examines the behavior of firms within the industry to understand the dynamics that shape the performance of the investment banking sector, including the influence of a market structure marked by high concentration and substantial entry barriers on firm profitability and business strategy. The analysis examines BTG Pactual’s business strategy, emphasizing its diverse income sources from advisory, underwriting, trading and asset management business lines.

Implementing Engagement Strategies For Growth On Twitch, Chandler Gravely

Communications and Digital Media Theses

Online media sites have changed how viewers’ are taking in content in addition to how content creators engage with their audiences. One of these sites that has proven itself as the main source for live-streaming content, is Twitch. Despite how popular the site is, there is a lack of research on how individual creators can use growth and engagement methods over a period of time to help grow an audience and viewer base. This study will look at how doing so over a three-month period can provide valuable insight into expanding one’s viewer base and channel on Twitch. In order …

Exergames And Motivation To Exercise, Nathaniel Clark

Theses & ETDs

Physical inactivity is a significant public health concern, and motivation has been identified as a key barrier to regular exercise. This thesis investigates exergames, video games that require physical activity to play, as a means of increasing exercise motivation and physical activity. Chapter 1 describes the Exertron 5000, a custom exergame system developed in Godot, a free and open source node and scene-based game engine. The system uses a lightweight wearable interface to track physical activity to control the game. Movement data is processed through a multi-stage filtering and smoothing pipeline to extract pedaling speed. The exergame is an asteroids-like …

An Investigation Of Entamoeba Histolytica Chitin Synthases And Other Encystation Factors In Early Encystation, John N. Talledo

All Theses

Entamoeba histolytica is a food-and-water-borne human protozoan pathogen that relies on a two-stage life cycle for successful proliferation outside of the host. E. histolytica exists in its dormant cyst form while outside of its host and converts to the motile trophozoite (amoeba) form in the small intestine. The trophozoites colonize the large intestine to cause symptomatic disease in ~10% of infections, resulting in ~100 million cases of amoebic dysentery each year. Trophozoites can convert back to the cyst form, which is shed in feces to continue the infection cycle.

Currently, there is a lack of understanding of the exact molecular …

Splitting Shores: Comparative Analysis Of Italy’S And Spain’S Reactions To Immigration, William E. Montgomery V

International and Global Studies Undergraduate Honors Theses

The divergence in public immigration sentiment between Italy and Spain, two countries with striking historical, geographic, and demographic similarities, is seen as a mystery for popular theoretical frameworks. Although both nations transitioned from net emigration to net immigration beginning in the 1970s and 1980s, Italy has consistently exhibited more negative attitudes toward immigration relative to the European average, while Spain has seen sustained improvement in immigration sentiment despite receiving immigrants at historically unprecedented levels. Employing a Most Similar Systems Design and drawing on quantitative demographic and survey data, primary legislative texts, and secondary scholarly literature, this thesis tests Group Threat …

Limerence, Social Media, And The Reinforcement Of Romantic Obsessions Across Online Contexts, Lily Lawson

Honors Projects

This project examines limerence from both a psychological and sociological perspective. The psychological component aimed to investigates whether higher limerent scores predict greater engagement in social media monitoring behaviors related to a romantic interest, and whether these monitoring behaviors are associated with increased interpretation of ambiguous social cues-failure to obtain IRB approval resulted in limitations in completing the study. The sociological component uses qualitative observational methods to examine how two Reddit communities,  r/NevilleGoddard and r/ShiftingRealities,  reinforce limerent and parasocial romantic behaviors. Findings from the qualitative analysis reveal patterns of emotional attachment, ritualized obsession, perceived reciprocation, self-insert fantasy, and escapism across …

The Moral Influences On Non-Denominational Christian Students’ College Major Decision And Future Career Outlook, Makayla Frame

Honors Projects

This is an undergraduate research project for the Honors College. A qualitative research project in the form of case studies was conducted on the influence of Non-Denominational Christian morals and values on how college students decide college major and future career. Non-Denomination students in particular were chosen for this study because of the recent rise in popularity of the Non-Denominational belief in the US, especially among young adults.

The study outlines previous research on the Christian religion, the history of Non-Denominationality, and how typical college students decide their major. The conclusions of the study are that Non-Denominational Christian college students …

Odor Vs. Direction Prioritization In Shelter Navigation By The Whip Spider Phrynus Marginemaculatus, Aiden Barno, Daniel D. Wiegmann, Verner Peter Bingman, Sidney Tyler Ley

Honors Projects

Arthropod navigation is known to rely on a variety of multisensory strategies, yet the prioritization of these cues in whip spiders remains poorly understood. This study examined whether Phrynus marginemaculatus prioritizes olfactory cues or idioethic directional cues when the two cues directly conflict with one another. Twelve subjects were trained to associate a shelter with both a specific odor (geraniol or 1‑hexanol) and a consistent directional movement (left or right) from the release site. In a subsequent test trial, odor and direction were dissociated, and subjects’ time spent in front of each shelter was used to determine an association index …

Pyspqr: A Python Package For Density Estimation Using Deep Learning, Cameron Eddy, Reetam Majumder

Electrical Engineering and Computer Science Undergraduate Honors Theses

Splines are used for representing complex functions. In statistics, splines can be used for distributional shapes that are difficult to model by traditional parametric approaches. Ramsay (1) uses M-Spline bases to estimate continuous distributions. Semi-Parametric Quantile Regression (SPQR), developed by Xu and Reich (2), models conditional distributions where a neural network is used to estimate the basis function weights that depend on covariates. (3) implements a package for SPQR in R. We build on this by implementing a version of SPQR in Python with PyTorch. By using PyTorch, we can use more sophisticated deep learning architectures than those available in …

Towards Multi-Hop Retrieval Using Bipartite Question-Oriented Graphs, Micah Mccollum

Electrical Engineering and Computer Science Undergraduate Honors Theses

Accurately answering multi-hop questions requires full retrieval of multiple, interdependent passages and is a long-standing problem in the area of natural language question answering (QA). While retrieval-augmented generation (RAG) helps address single-hop questions, many retrievers presently focus on semantic similarity in a dense vector space, which is insufficient for handling multi-hop questions specifically. To ameliorate this, we propose constructing a bipartite question- oriented graph composed of hypothetically generated questions connected to passages at index time. The construction of the graph is guided by a large language model (LLM) to prioritize the formation of edges that signal whether a question can …

Evaluating The Use Of Extended Reality Technology To Improve Marching Band Conducting Patterns, Nathan R. Fuhrman

Electrical Engineering and Computer Science Undergraduate Honors Theses

Conducting pattern consistency is an essential skill for marching band drum

majors, yet developing this consistency through individual practice remains diffi-

cult without real-time feedback. This thesis investigates if the use of extended

reality technologies can be used to enhance the conducting skills of novice drum

majors. Using the Meta Quest 3’s passthrough capability, the system overlays vi-

sual feedback elements — including a 3D pattern guide, path visualization, tempo

cues, and a real-time score — onto the user’s physical environment. A within-

subjects study with seven participants evaluated eight combinations of three binary

feedback variables: pattern guide visibility, tempo …

Small-Scale Analog Spiking Neural Network: Design And Simulation Of An Analog Deep Neural Network, Lucas Hogue

Electrical Engineering and Computer Science Undergraduate Honors Theses

A small-scale analog schematic of a spiking neural network (SNN) is designed and demonstrated through the analog design environment (ADE) within Cadence Virtuoso. An SNN is a type of neuromorphic system that utilizes components mimicking the function of the neurons and synapses found in biological neural networks. The SNN designed in this project is composed of four layers: one input layer, two hidden layers, and one output layer. The inclusion of more than one hidden layer classifies the network as “deep” and increases the network’s efficiency at handling data with increased complexity. The SNN categorizes inputs by producing a set …

​Autonomous Agentic Orchestration For Physics-Aware Scientific Discovery: An Integrative Multimodal Framework For 2d Material Characterization​, Sankalp Pandey

Electrical Engineering and Computer Science Undergraduate Honors Theses

The advancement of next-generation semiconductor and quantum technologies relies on the scalability of the fabrication of two-dimensional (2D) van der Waals heterostructures. However, this process is severely bottlenecked by characterization workflows. Optical microscopy provides high-throughput imaging of 2D material flakes, but lacks the explicit physical priors required for the discernment of sub-nanometer thickness variations, such as distinguishing monolayers from bilayers. The use of computer vision models to automate the localization and characterization process of the flakes was proposed. As a part of this effort, we develop QuantumFlake, an open-source framework to streamline the integration and deployment of computer vision models …

Intertidal Ecosystem Variation Along A Latitudinal Gradient Across The Gulf Of Maine, Reuven William Frye, Justin Baumann

Standard Theses

Rocky intertidal ecosystems are structured by environmental conditions and are particularly sensitive to climate change driven stressors such as ocean warming and acidification (Fernandez et al., 2020; Kleisner et al., 2017). This study examined algal and invertebrate community composition across eight rocky intertidal sites spanning northern and southern regions along the Gulf of Maine to assess how tidal height, site, and region shape species distributions and interactions. Surveys quantified percent cover and total count across low, mid, and high tidal zones, and patterns were analyzed using two-way ANOVA and Tukey HSD post hoc tests. Algal community composition varied significantly with …

Speaking Sustainability, Sustaining Extraction: Narratives Of Corporate Climate Obstruction Within The Unfccc, Liam Rule

Standard Theses

This thesis applies a critical lens to how the most influential corporate actors at the recent UNFCCC COPs seek to obstruct climate action and the green transition through a smoke screen of corporate environmental and sustainability discourses. Through a systematic deconstruction of these corporate documents, this study reveals a variety of key narratives through which corporations delay, deny, and foster inaction to climate action. The eight most influential corporations, determined by the InfluenceMap database as Amazon, BASF, Chevron, ExxonMobil, Shell, SINOPEC, Toyota, and Volkswagen, were selected based on their documented presence and strategic engagement at COPs 27-29. This research employs …

Assessing The Impact Of Toxic Fescue Consumption During Gestation On Muscle Growth Gene Expression And Beef Color Quality Of The Offspring, Madison Blank

Animal Science Undergraduate Honors Theses

Endophyte-infected tall, toxic fescue is the most common forage for beef cattle in the southeastern U.S. However, exposure to this forage causes detrimental effects on the health of gestating cattle. The exposure to toxic fescue during gestation has been shown to impact fetal development during pregnancy and their offspring’s subsequent growth. However, limited information is currently available on the impact of this exposure on the meat quality of the offspring. Our objective is to determine how the dam’s exposure to toxic fescue during gestation impacts the beef color and quality of the final offspring.

A total of 22 animals (11 …

Establishing The Inter-Rater Reliability Of The Titleist Performance Institute (Tpi) Movement Screen, Ian Henry Dahners, Matthew Fetner, Carlan Haugrud, Hunter Johnson, Braeden Lee Knutson, Erica Jo Peters, Dana Jayde Zarn

Physical Therapy Scholarly Projects

Background: The Titleist Performance Institute (TPI) Movement Screen is a golf-specific physical assessment widely used by professionals to identify physical limitations that may influence swing mechanics and injury risk. Despite its popularity, there is limited peer-reviewed evidence regarding the screen’s inter-rater reliability. Without established reliability, clinical and performance decisions based on TPI scores may be questionable. Prior research on similar tools, such as the Functional Movement Screen (FMS) and Selective Functional Movement Assessment (SFMA), shows that reliability varies based on evaluator experience, scoring objectivity, and standardization—all relevant concerns for the TPI Movement Screen.

Purpose: To determine the inter-rater reliability of …

The Effects Of Dynamic Blood Flow Restriction On Transmembrane Fluid Shifts, Parker Bradley Carroll, Caden John Heinert, Isaiah John Kludt, Lucas Robert Simon

Physical Therapy Scholarly Projects

The benefits of blood flow restriction (BFR) training, particularly its ability to induce muscle hypertrophy, are well established. However, the physiological mechanisms underlying this hypertrophy remain unclear. This study hypothesized that fluid shifts within the skeletal muscle, specifically changes in intracellular fluid (ICF) and extracellular fluid (ECF) composition, contribute to hypertrophic responses following BFR exercise. The purpose of this study was to investigate ICF and ECF dynamics in the lower extremity skeletal muscle using bioelectrical impedance spectroscopy (BIS) following BFR in combination with submaximal resistance exercise. Additionally, the researchers aimed to determine the duration of fluid shifts by assessing ICF/ECF …