Digital Commons Network^™

Mathematics-Ai Based Phylogenetic Analysis Of Influenza Virus Mutation Data, Emilee Walden

Mathematical Sciences Undergraduate Honors Theses

The influenza virus is one of the most common viral infections each year and can mutate rapidly. Viral mutations pose significant threats to public health by increasing infectivity and strengthening vaccine resistance. To track these evolving patterns, agencies like the CDC annually evaluate thousands of virus strains to understand viral mutagenesis and evolution in depth. Therefore, a computational method for analyzing high-dimensional, noisy virus data could aid in the rapid identification of antigens essential for an effective influenza vaccine for the upcoming season. Through the integration of genomic analysis, clustering, and dimensionality reduction methods, this study specifically aims to develop …

Some Interpolation Problems In The Projective Plane, Lilah Estes

Mathematical Sciences Undergraduate Honors Theses

Given some set of r general points in the projective plane, we want to better understand: what is the smallest degree of any polynomial passing through the points m times? How many linearly independent equations of this degree pass through the points m times? The investigation of these questions, particularly for the case of m=3 and r< 16, motivates the development of several results. We translate Terracini's inductive argument, a tool for evaluating the expectedness of certain sets of double points, into a version which can be used for triple points, and prove that the argument holds. We compute the minimal graded free resolutions for the ideals corresponding to up to 15 points, for m up to 6, and we conjecture a connection between the expectedness of these ideals and what their resolutions look like. Further, we prove that this conjecture holds when m=1, and we either fully or partially prove that these ideals are …

Validating An Electronics Cooler Experiment And Optimizing Its Performance Using Ansys Icepak, Daniel V. Curl

Mechanical Engineering Undergraduate Honors Theses

Researchers at the University of Arkansas' Mechanical and Electrical Engineering Research Departments have designed and built a cold plate and substrate design for a 10 kV SiC MOSFET power module. Many variables define the design of the cold plate and substrate system and have quantifiable effects on the device’s performance. These variables include but are not limited to geometry and material selection of the fins and substrate. Manufacturing many test designs, running experiments, and comparing their performance is a time-consuming and expensive design optimization method that may be effective for some low-cost applications. Still, simulation is often a more cost-effective …

Development Of Soil Water Characteristic Curves Through Control Of Relative Humidity, Lauren E. Johnson, Julia I. Loshelder, Richard A. Coffman

Civil Engineering Undergraduate Honors Theses

The relationship between soil suction and soil water content in unsaturated soil mechanics is important but can be difficult to measure. The objective of the research described herein was to develop soil water characteristic curves (SWCC) from relative humidity values by incorporating the use of glycerin-water mixtures. Glycerin-water mixtures can be used to achieve different relative humidity levels by varying the concentration of glycerin within the mixture. The relative humidity created by each mixture was measured with a relative humidity sensor, and the relative humidity values and Kelvin’s equation were used to compute the total suction.

Soil water characteristic curves …

Relating Strength, Time, And Temperature For Bcsa Cement Concrete Using The Maturity Method, Daniel M. Passarelli

Civil Engineering Undergraduate Honors Theses

Belite calcium sulfoaluminate (BCSA) cement is an extension of CSA cement technology designed to provide early setting times and rates of strength gain with reduced environmental impact compared with portland cement. However, its application in the field of structural concrete is widely unexplored. To that end, this paper details research conducted at the University of Arkansas Civil Engineering Research and Education Center (CEREC) exploring the rates of strength gain in concrete samples created using BCSA cement relative to various temperatures and ages. Following the practices outlined in ASTM C1074, the maturity method, compression strength tests were conducted on the aforementioned …

Usage Of Natural Language Processing And Deep-Learning Techniques On Thematic Apperception Tests To Predict Big Five Personality Traits, Blayten Jones

Electrical Engineering and Computer Science Undergraduate Honors Theses

The usage of personality as a method of behavioral prediction and outcomes of success has grown considerably over the last few decades. This project explores predicting user personality profiles via the Big Five personality index through the integration of advanced natural language processing techniques as well as neural networks. Using a dataset provided by Dr. James W. Pennebaker, participants analyze an image—formally referred to as a thematic apperception test—and write a thorough paragraph describing the details. This free-form text, along with their personality test results, is captured in a structured dataset. Many deep-learning and machine learning models have been used …

A Novel Approach To Attention-Based Models In Image Completion: Weighted Spatial-Attention Using Radial Distance, Tyler D. Kuper

Electrical Engineering and Computer Science Undergraduate Honors Theses

Humans infer missing visual information by focusing on spatial relationships in the context of their surroundings. Machine learning aims to replicate this skill through image completion, a fundamental task in current computer vision research. While advances in self-attention layers have recently enhanced generative machine learning models for text, these mechanisms still currently lack the capability to handle sparse image completion efficiently. We introduce a distance-based attention mechanism that uses radial-based weights to efficiently reconstruct an image. We compare this attention mechanism with self-attention and a fully connected network on an image completion task using the MNIST dataset. Our results show …

Fairness In Recommender Systems: Balancing Bias In Academic Paper Selection, Zachary Bergin

Electrical Engineering and Computer Science Undergraduate Honors Theses

Bias in academic paper selection remains a consistent issue, even within processes designed to promote fairness, such as double-blind peer review, bias stays persistent. In this paper we investigate demographic bias while particularly focusing on racial bias in the process of selecting academic papers and explore the impact of fairness aware recommender systems on the demographic parity. To build an effective system our focus is on the Special Interest Group on Computer Human Interaction (SIGCHI) a pillar in the community, we develop a neural network-based recommender system that uses real demographic data collected by other systems withing the context of …

Synthetic Dataset Generator To Assist In Training Of Multilayer Perceptron Based Neural Network, Megan Leach

Electrical Engineering and Computer Science Undergraduate Honors Theses

Synthetic dataset generation attempts to solve the issue of needing large datasets to train models and observe behaviors in both a cost and time effective way. This project aims to highlight the value of synthetic data creation and how it was useful when training a neural network model by creating a synthetic dataset generator for a specific model in order to evaluate its behavior in difference scenarios. The model that was used in this project was created to select high-quality papers while maximizing the diversity of authors based on race, gender, and country characteristics, essentially mimicking a review process. The …

Leveraging P4 Programmable Switches For Resilient Operation And Design Of Phasor Measurement Unit Networks, Eva Casto

Electrical Engineering and Computer Science Undergraduate Honors Theses

The power grid utilizes a device called the phasor measurement unit (PMU), allowing power system administrators to remotely monitor and manage the state of the grid in Wide Area Monitoring Systems (WAMS). The advantages of PMUs – such as fine-grained, time-synchronized measurements and efficient, decentralized monitoring – are what make them key devices in the power grid. However, PMU technology also comes with new threats of the digital age, like malfunctions and cyberattacks, which can result in missing and faulty measurements that compromise power grid observability. P4 programmable networks can be used to detect faulty PMU data in a decentralized, …

All Mud In The End: Exploring Registration Between Handcraft And Digital Craft Through Ceramic 3d Printing, Emily Kloostra

Architecture Undergraduate Honors Theses

The goal of this research was to investigate the possible interconnections between handcrafted objects and digital fabrication technologies, specifically in ceramic 3D printing workflows. Digital fabrication tools have advanced rapidly in recent years, raising questions about the role handcraft can still play in the making of objects and buildings. While many artistic endeavors have investigated how far digital technology can be pushed, this study was focused on bringing handcrafted objects back into the conversation. Specifically, it sought to understand how irregular, handcrafted objects may be registered in the digital space and then used in 3D printing processes.

The study used …

Understanding University-Level Food Recovery Programs’ Approaches To Minimizing Food Waste While Combating Food Insecurity In The United States, Ella F. Flesher

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

Food is wasted every day at each level of the food system from production to consumption. This surplus has significant negative impacts on the environment after food is sent to the landfill and allowed to rot. However, some surplus food can be repurposed and diverted from the landfill. This study served as an initial investigation to explore multiple food waste diversion programs and analyze their structure, best practices, and methods to divert leftover food. This study specifically aimed to compare and contrast food recovery programs by interviewing participants from three food recovery programs from different university institutions. With the key …

Land8fire: A Complete Study On Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, And Extensive Benchmarking, Anh Tran

Data Science Undergraduate Honors Theses

Early and accurate wildfire detection is critical for minimizing environmental damage and ensuring a timely response. However, existing satellite-based wildfire datasets suffer from limitations such as coarse ground truth, poor spectral coverage, and class imbalance, which hinder progress in developing robust segmentation models. In this paper, we introduce Land8Fire, a new large-scale wildfire segmentation dataset composed of over 20,000 multispectral image patches derived from Landsat 8 and manually annotated for high-quality fire masks. Building on the ActiveFire dataset, Land8Fire improves ground truth reliability and offers predefined splits for consistent benchmarking. We evaluate a range of state-of-the-art convolutional and transformer-based models, …

Effects Of Thermal Interface Materials On Thermal Conductivity Measurement Using A Modified Astm D5470 Thermal Resistance Tester, Chinmaya Joshi

Mechanical Engineering Undergraduate Honors Theses

In this paper, we have investigated the effect of thermal interface materials (TIMs) on the accuracy and uncertainty of thermal conductivity measurements. A modified ASTM D5470 thermal resistance tester (TRT) is developed to measure the out-of-plane thermal conductivity of pyrolytic graphite (PG) and grade 2 titanium (TiG2) with and without TIMs. Compared to the ASTM D5470 standard, this modified design uses three thermocouples per side to support regressive analysis and explores the use of TIMs.s Nine PG samples and four TiG2 samples of varying thickness have been tested to obtain thermal resistance as a function of sample thickness. The steady-state …

The Electric Revolution: A Quantitative Analysis Of Tesla's Sales Growth, Mason Bravo

Accounting Undergraduate Honors Theses

This thesis explores the key factors influencing Tesla's sales growth within the evolving electric vehicle (EV) market. It uses regression analysis to quantify the impact of average sales price, charging infrastructure, EV demand, and macroeconomic performance on Tesla's vehicle sales. The analysis is based on data from Tesla's annual reports, the Alternative Fuels Data Center, the International Energy Agency, and the Bureau of Labor Statistics. Key findings include a significant negative correlation between average sales price and vehicle sales, and a strong positive correlation between charging infrastructure and sales. These insights offer valuable implications for Tesla’s strategic decision-making, investor analysis, …

Comparative Analysis Of The Community Reinvestment Act And The B Impact Assessment, Ella G. Claborn

Finance Undergraduate Honors Theses

This thesis presents a comparative analysis of the Community Reinvestment (CRA) and the B Corp Certification through the B-Impact Assessment (BIA). The CRA was enacted in 1977 and is a mandatory regulatory measure aimed at addressing discriminatory lending practices and encouraging equitable credit distribution in underserved communities. In contrast, the BIA is a voluntary assessment developed by the nonprofit B Lab to evaluate a company’s social, environmental and governance practices, which lead to B Corp Certification. This analysis explores the historical background, mission, methodology, success metrics and financial costs associated with each framework. Ultimately, this thesis highlights how both models, …

Minimizing Uncovered Triples: An Integer Programming Approach To College Football Conference Scheduling, Caleb Mallett

Industrial Engineering Undergraduate Honors Theses

Collegiate football teams often compete in groups of 8-20 teams known as conferences. One such conference, the Atlantic Coastal Conference (ACC), added three new schools for the 2024-25 season, bringing their total to 17 teams. Currently, each ACC team plays eight games against others within the ACC. At the season’s conclusion, the two ACC teams with the best intraconference record compete in a conference championship game. With 17 total teams each playing eight games, the ACC could have a three-way tie for the best record where none of top the three teams play one another. To avoid this situation, we …

Electrochemically Precipitated Struvite Effects On Extractable Soil Nutrients, Owen Collins

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

Struvite recovery from wastewater streams may provide an alternative to traditional fertilizer-phosphorus (P) sources, while also providing the benefit of reducing nitrogen and P loads in wastewater effluent and reducing effects of eutrophication in surface waters. Limited research has been conducted to assess the effects of struvite fertilization on concentrations of soil micronutrients and potassium (K) compared to other traditional fertilizer-P sources in historically agricultural soils. The objective of this study was to assess the effects of fertilizer-P source (i.e., synthetically produced electrochemically precipitated struvite [ECST], chemically precipitated struvite [CPST], monoammonium phosphate [MAP], diammonium phosphate [DAP], triple superphosphate [TSP], rock …

How Graphene’S Berry Dipole Is Determined By Its Atomic Registry With A Substrate, Hannah K. Isbell

Physics Undergraduate Honors Theses

Since graphene’s discovery in 2004, it has been established as one of the most important materials in recent condensed matter history. Understanding its properties and potential uses has been the subject of intense scientific research around the world. Graphene’s unique physical properties allow it to serve a wide variety of purposes, from its everyday role in the formation of graphite in pencils to its more cutting-edge scientific functions in electronics and energy storage. Gaining a better understanding of graphene’s rich quantum landscape through geometric and topological phenomena, like Berry curvature and Berry dipole, could have significant implications for both theoretical …

Enhancing The University Of Arkansas' Operations Through Data Science, Aura L. Pinto-Avelar

Data Science Undergraduate Honors Theses

As universities navigate financial constraints and resource allocation challenges, data driven financial analysis has become increasingly important. Universities employ various methods to assess financial efficiency, predict future expenditures, and optimize student credit hour distribution. However, the approaches to financial analysis vary widely, with some institutions leveraging advanced predictive modeling and business intelligence tools, while others rely on traditional budgeting techniques and manual forecasting.

This thesis examines how the University of Arkansas' (“Uark”) financial analysis methods compare to those of other institutions and alternative data-driven approaches. Using four years of financial and student credit hour data, this study evaluates cost trends …

Lucky Charms: Leveraging Consumer Data Analysis For Strategic Decision-Making At General Mills, Katherine Page Thomas

Data Science Undergraduate Honors Theses

This undergraduate thesis examines the application of data analytics in sales strategy and consumer insights from the perspective of a summer internship at General Mills. It gives an overview of the company’s background, industry position, and intern’s role within the sales organization. It outlines the personal learning objectives established before the internship and how they evolved through practical experience.

A central focus of the summer internship was the analysis of consumer demographics within the cereal category to enhance sales performance and optimize retail execution. Using the Data Science Analytics Process as a framework, this thesis details the problem statements, methodologies, …

Optimizing Fire Station Placement In Sugar Land, Tx: A Socioeconomic Risk-Based Approach, Alicia Gallemore

Data Science Undergraduate Honors Theses

Fire station placement has a critical role in emergency response efficiency and community safety. Traditional optimization models focus on mainly the minimization of response times and the maximization of coverage. However, this approach may overlook potential socioeconomic disparities that can influence emergency demand. This study seeks to expand upon the existing project of zoning a fire station in Sugar Land, TX, by integrating spatial road network analysis and publicly available census data—including population density, median household income, and age-based vulnerability—into a Maximal Coverage Location Problem (MCLP) framework. Using a road network-based travel time with realistic constraints, the goal is to …

Attribute Based Assortment Using Machine-Learning, Hector Negron

Data Science Undergraduate Honors Theses

Retail success is influenced by a store's demographic and environmental context, both of which impact item-level sales performance. This study applies machine learning techniques to optimize item allocation based on club attributes at Sam’s Club locations. By analyzing store- specific factors such as proximity to universities, income levels, and regional preferences, the research identifies patterns that contribute to product demand. The results offer insights into how clubs can enhance inventory decisions, improving sales outcomes while reducing inefficiencies. This study reinforces the value of data-driven retail strategies and presents a practical framework for implementing predictive models in a real-world business context.

Shortage To Surge - Studying The Post-Covid-19 Guitar Retail Market, Jed H. Kim

Data Science Undergraduate Honors Theses

The COVID-19 pandemic was one of the most catalyzing events of the 21st century, leading to supply chain disruptions, lifestyle changes, and a massive shift towards digital technologies. During the COVID-19 lockdown, many people had more free time, and over 16 million individuals learned to play guitar in the first 2 years of the pandemic. According to a study by Fender, 62% of these new guitar learners cited the pandemic as their primary reason for learning the instrument. However, pandemic policies and supply chain disruptions meant that many guitar retailers were unable to satisfy demand, and backorders accumulated. After the …

Computer Vision In Soccer: Yolov11 Analytics Engine For Quantifying Game Strategy, Connor S. Maurer

Data Science Undergraduate Honors Theses

Single-shot object detection capabilities significantly reduce computational overhead for real-time computer vision in sports analytics at 60 FPS. YOLO11’s lightweight CNN gives promising accuracy while meeting the low-latency demand of dynamic soccer matches. As data-driven approaches take over the sport of soccer, efficient player tracking systems become critical for informing coach’s strategies. I prototype the ETL (Extract, Transform, Load) process of data collected from a single- shot detection program and evaluate its viability for estimating player fatigue. YOLO11 detects players, the ball, and other characteristics, with the output transformed by homography to estimate the positions in the real world. These …

Nutmeg: Separating Signal From Noise In Annotator Disagreement, Jonathan W. Ivey, Susan Gauch, David Jurgens

Data Science Undergraduate Honors Theses

NLP (natural language processing) models often rely on human-labeled data for training and evaluation. Many approaches crowdsource this data from a large number of annotators with varying skills, backgrounds, and motivations, resulting in conflicting annotations. These conflicts have traditionally been resolved by aggregation methods that assume disagreements are errors. Recent work has argued that for many tasks annotators may have genuine disagreements and that variation should be treated as signal rather than noise. However, limited work has combined the two frameworks to separate signal from noise in human-labeled data. In this work, we introduce NUTMEG, a new Bayesian model that …

Quantum Oscillation Studies Of The Nodal Line Semimetal Ni3in2s2-Xsex, M. M. Sharma, Santosh Karki Chhetri, Gokul Acharya, David Graf, Dinesh Upreti, Sagar Dahal, Md Rafique Un Nabi, Sumaya Rahman, Joshua Sakon, Hugh O.H. Churchhill, Jin Hu

Physics Faculty Publications and Presentations

Ternary shandite compounds with the general formula T3M2X2 (T = Ni, Co, Rh or Pd; M = Sn, In, or Pb; and X = S or Se) have emerged as a large pool of topological semimetals. This family of compounds hosts different topological phases for various combinations of T, M and X. This paper reports the observation of quantum oscillations under the high magnetic fields in Ni3In2S2-xSex single crystals. Angular dependence of oscillation frequency suggests an evolution of the Fermi surface from three-dimensional to two-dimensional on Se substitution for S in Ni3In2S2. The effective mass obtained for each composition by …

Rewriting The School Calendar: A Mixed-Methods Analysis Of Four-Day School Week Implementation In Arkansas, Kate Barnes

Graduate Theses and Dissertations

The four-day school week (4DSW) has gained traction across the United States, particularly in rural districts seeking innovative responses to mounting challenges. Despite its expanding adoption, key questions remain regarding the motivations for implementing 4DSW schedules and their implications for teacher well-being and student achievement. This dissertation examines the emergence and effects of the 4DSW in Arkansas, where adoption has increased rapidly in recent years, offering a unique context shaped by state-level policy and rural dynamics. Employing a mixed-methods, this dissertation investigates (1) why and how districts adopt the 4DSW, (2) whether the policy alleviates teacher burnout, and (3) how …

Effects Of Sensor Separation On Flux Calculations In The Eddy Covariance Method., Maria D. Vergara Murillo

Biological and Agricultural Engineering Undergraduate Honors Theses

Rice production contributes approximately 8% of global anthropogenic methane emissions. Methane (CH₄) is a powerful greenhouse gas with a global warming potential 28 times greater than carbon dioxide (CO₂) which makes it important to monitor for understanding and mitigating its contribution to climate change. The Eddy Covariance (EC) method is used to monitor greenhouse gas emissions such as CO₂, CH₄, etc. As part of the EC method, the instruments on the EC towers are used to record the gas concentrations in the atmosphere; these concentrations are then run in the EddyPro software …

Characteristics Of Patterned Surface Dielectric Barrier Discharge Devices For Ionic Wind Propulsion, Ethan J. Graef

Mechanical Engineering Undergraduate Honors Theses

Electroaerodynamic (EAD) or ionic wind propulsion is a growing area of research for small noiseless low speed aircraft. Previous flight demonstrations and experimentation have revealed that traditional methods of EAD propulsion utilizing corona discharge incur a large drag penalty due to their collector and emitter geometries. Recent publications detail flexible and geometrically conformable surface dielectric barrier discharge devices (SDBD) that could increase thrust and decrease drag as an ion source for an EAD propulsion system. This thesis explores the effects of different electrode sizes and geometries on total SDBD power consumption. SDBDs of a hexagonal, triangular, and square electrode geometry …