Digital Commons Network^™

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  Findings include unsecure practices, limited communication between sectors, outdated technology, and weaknesses in security processes and employee training.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 …

Making As A Method For Knowledge Production, Nithikul Nimkulrat, Camilla Groth

DRS Summer Meetings

No abstract provided.

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 …

School Resource Officers: Why And How We Should Demand Change, Jillian La Serna

North Carolina Civil Rights Law Review

No abstract provided.

Protecting Abortion By Protecting Speech: Revisiting North Carolina's Mandatory Ultrasound Law After Dobbs And Nifla, Kathryn S. Rowe

North Carolina Civil Rights Law Review

No abstract provided.

More Than Just An "Atypical" Hardship: How Courts Are Missing The Mark On Solitary Confinement, Kyra Goins

North Carolina Civil Rights Law Review

No abstract provided.

Discrimination Disguised As Parental Empowerment: A Title Ix Challenge To North Carolina's Bill Of Rights, Beth Lecroy

North Carolina Civil Rights Law Review

No abstract provided.

Punishment, Cruelty & Justice: Critically Interrogating Grants Pass V. Johnson, Sara K. Rankin

North Carolina Civil Rights Law Review

No abstract provided.

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 …

​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 …

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 …

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 …

Assessing The Preparedness Of New Graduate Physical Therapists For Primary Care Physical Therapy Roles, Hannah Ellen Snobeck, Olivia Mavis Manuel, Rachel Jean Dukart, Samantha Marie Krogfoss, Logan Nicole Redding, Haley Paige Hase, Reese Paige Richards

Physical Therapy Scholarly Projects

Background and Purpose: The growing shortage of primary care providers in the United States has led to increased discussion about expanding the role of physical therapists (PTs) in primary care. Physical therapists have advanced diagnostic and musculoskeletal expertise that helps them succeed in these roles. This study aimed to assess how new graduates perceive their readiness to practice as primary care providers and to identify the education and experiential factors that shape this.

Methods: Using a qualitative research design guided by self-perception theory, semi-structured interviews were conducted with three physical therapists who graduated between 2022 and 2024. Participants were asked …

Dental Rehabilitation With General Anesthesia And Analysis Of Waiting Time Periods, Hannah Shelton, Bethany Castro, Neena Patel, Robin Onikul, Amy Burleson, Jenna Sparks

Posters

Purpose: The aim of this research project is to understand how long patients are waiting to be seen to have dental rehabilitation completed under general anesthesia at Children’s Mercy Hospital. The data will help determine if additional surgical blocks are needed for dental providers to serve the patient population in a more reasonable time frame. Methods: A retrospective review of all appointments in the CMH dental clinic was conducted for all patients referred for general anesthesia. Data collected included patient wait times, patient age, ASA (American Society of Anesthesiologists) classification, type of appointment in which GA referral was made, and …

Barriers To Effective Parent-Teacher Communication In K-5 Settings, Dylan Sawicki

Leadership Education Capstones

The purpose of this study was to examine barriers that influence parent-teacher communication in K-5 educational settings, with a focus on cultural background, communication methods, and parents’ prior experiences with educators. This study employed a quantitative research design and collected data through a nationwide Qualtrics survey distributed via email and social media platforms. Participants included parents of K-5 students. Findings suggest that most parents feel comfortable communicating with teachers and perceive cultural background and prior experiences as having minimal influence on communication. However, the data also indicate areas for improvement, particularly in the consistency, frequency, and clarity of communication methods …

Examining Organizational Factors Contributing To Burnout In Community College Employees: An Anthropological Perspective, Jesse N. Blue

Leadership Education Capstones

Organizational culture and systemic inequities remain under-researched factors driving the mental and physical deterioration of community college employees. The purpose of this phenomenological study was to describe and interpret the lived experiences of job-related burnout among community college employees. This qualitative short-term ethnography was conducted at Big Rock College, a rural community college in central Arkansas. The sample consisted of six volunteer participants across administrative, faculty, and staff roles. Data collection involved semi-structured interviews conducted via Zoom®. Interviews were recorded, transcribed, and triangulated with institutional document analysis. Findings indicated that 84% of participants experienced varying degrees of burnout, driven by …

Burnout Among Wisconsin Career Firefighters: An Examination Of Shift Schedules, Sleep Disturbances, And Organizational Factors, Nickolas R. Pridgeon

Leadership Education Capstones

Occupational burnout among career firefighters represents a growing crisis with serious consequences for individual health, public safety, and fire department sustainability. This study investigates the factors contributing to burnout among career firefighters in Wisconsin, with a focus on three primary areas: shift schedules, sleep disturbances, and organizational culture. Using a concurrent mixed-methods design, the research combines an online quantitative survey with semi-structured qualitative interviews to examine how these factors interact to produce burnout in the fire service context.

The quantitative component employs the Copenhagen Burnout Inventory and the Pittsburgh Sleep Quality Index alongside measures of organizational factors, targeting a sample …

The Effect Of Neuromuscular Training On Return-To-Activity/Return-To-Sport Outcomes Following Acl Reconstruction In Physically Active Adults, Orion Piston

All Student Scholarship

Anterior cruciate ligament (ACL) injuries are among the most common knee injuries in physically active individuals and often require surgical reconstruction to restore stability and function6 . Even with advances in surgery and rehabilitation, many individuals continue to show neuromuscular deficits and have difficulty returning to their prior level of activity7,11. Research suggests only about 55–65% of individuals return to their pre-injury level of sport after ACL reconstruction6

. Neuromuscular training has been proposed as a way to improve movement control, restore functional stability, and potentially improve return-to-activity and return-to-sport outcomes7,8,11,12. Because of this, it is important for clinicians to …

Teaching Legal Thinking In The Age Of Ai: Reimagining Legal Education Through Cognitive Science And Deliberate Practice, Joan R. M. Bullock

University of Baltimore Law Review

No abstract provided.