Digital Commons Network^™

Effectiveness Of Quiz-Based Interventions In Virtual Reality Lectures On Learning, Mason T. Prather

Master's Theses

This thesis examined whether quiz-based interventions affect learning during an immersive virtual reality (VR) lecture and whether quiz timing strategy matters when prompts are delivered on a fixed timer or through gaze/Region of Interest (ROI)-based attention timing. The study used an eye-tracking virtual reality headset and a game engine-based classroom application. The final completed cohort included 29 participants assigned to three between-subjects conditions: No Intervention (n = 10), Timer-Based Intervention (n = 9), and Attention-Based Intervention (n = 10). All participants viewed the same virtual reality lecture and completed the same 15-item post-lecture assessment. Mean learning scores were 44.00% for …

Long Run Effect Of Industrial Place-Based Policy On County Level Complexity, An Investigation Of The Tennessee Valley Authority, Anita Ifeyinwa Umunnah

Master's Theses

This paper studies the long-term effects of large federal investments in place-based industrial policies on regional economic development, contributing new evidence on how industrial policies shape regional local productive capabilities over time. While extensive research show that industrial policies impact regional development by advancing productive technology (capabilities), the fundamental question remains how to measure this technological transformation. The study employs the use of Economic Complexity Index (ECI) as a measure of “technological advancements” resulting from large federal investments in place-based industrial policies. Previous evaluations of such investment were based on livelihood, employment and income outcomes, with productive capability of receiving …

A Novel Approach To Creativity Assessment: Forced Pairwise Ranking With Large Language Models, Phillip R. Gregory Jr

Master's Theses

Assessing creativity at scale remains a persistent challenge in cognitive science, as human raters are costly, slow, and often inconsistent in their judgments. This thesis introduced a novel framework for automated scientific creativity assessment using forced pairwise ranking, in which fine-tuned large language models compared response pairs and determined which was more creative. Five empirical studies were conducted using Llama-2-7B and Llama-2-13B models adapted via LoRA fine-tuning and benchmarked against human scored responses from the Scientific Creative Thinking Test. A regression baseline achieved Pearson �� = .74 on the test set, matching the human inter-rater ceiling reported in the literature. …

Programmable Degradation Of Polyethylene Via Amide-Functionalization: A Dual-Path Strategy Combining Palladium-Catalyzed Copolymerization And Enhanced Microbial Breakdown, Safi-Dapetel Balkissou Wouna

Master's Theses

Polyethylene (PE) is one of the most widely used polymers due to its durability, low cost, and chemical stability; however, these same properties contribute to its persistence in the environment. It takes about 1000 years for PE to be degraded by microbes in nature. This study investigates a molecular design strategy to enhance the biodegradability of PE by introducing polar functional groups into its backbone through palladium-catalyzed copolymerization with a Vince lactam-derived comonomer. This strategy was inspired by our previous observation that PHEVD (poly[7-(2-hydroxyethyl)-2,4-divinyl-3-oxa-7-azabicyclo[3.3.0]octane-6,8-dione]), a newly synthesized petroleum derived polymer that is rich of amide group, can be near-completely degraded …

Humor And The Politics Of Belonging: Race, Gender, And Radicalization In Online Spaces, Reese Chatman

Master's Theses

This thesis argues that post-ironic and meta-ironic humor acts as an affective gateway to far-right radicalization within online masculine subcultures. Examining incel forums and Groyper spaces, it traces how humor operates as the architecture through which extremist ideology is introduced, normalized, and internalized. Drawing on a synthesis of meme studies, digital rhetoric, and theories of irony and affect, and using digital ethnography and critical discourse analysis, the study examines recurring meme figures, especially the Wojak and its NPC variant, as portable diagnostic devices that sort participants into the "awake" and the unconscious regardless of ideological content. Case studies include incel …

Culturally Inclusive Usability Engineering (Ciue): A Framework For Evaluating Cultural Inclusion In Study Abroad Platforms, Louis Muhammad

Master's Theses

Study abroad programs provide students with opportunities to develop global com- petence and intercultural understanding. However, the digital platforms that support these programs often fail to communicate information that reflects the cultural and faith-based needs of diverse student populations. While prior research in Human-Computer Interac- tion (HCI) and usability engineering has explored cross-cultural and accessible design, cultural and religious considerations are rarely integrated into usability engineering pro- cesses. This thesis introduces the Culturally Inclusive Usability Engineering (CIUE) frame- work, which extends traditional usability engineering by integrating culturally informed con- siderations into the system development lifecycle. CIUE begins by identifying the …

An Investigation Of Data Granularity In Rag Pipelines For Personalized Medicine, Paritosh Pandey

Master's Theses

Generative AI, exemplified by large language models like the OpenAI GPT and Meta LLaMA families, can produce diverse content in response to prompts. This capability offers a promising solution to challenges in precision medicine, which seeks to tailor treatments to individual clinical profiles but often struggles with data collection, cost, and privacy concerns. By generating realistic, privacy-preserving patient data, generative AI has the potential to transform patient-centric healthcare. With such motivation, this research develops a comprehensive Generative AI pipeline emphasizing data granularity for accurate prediction of personalized treatments. The pipeline features a central Large Language Model interacting with a Machine …

Simulation Of A Buried Hydrogen Pipeline In Kansas State Soil, Sidney Hines

Master's Theses

Underground pipelines can be used to transport large amounts of pressurized hydrogen gas over several hundred kilometers. The design will be sensitive to the pipe material, diameter, and trench construction, and traffic loads above the pipe. The purpose of this paper is to conduct various geotechnical engineering analyses (seepage, stress, and slope stability) using the software program GeoStudio (version 2025.2.0) on a buried steel or FRP pipe section in a specific soil type, Harney Soil. Harney soil is of particular interest, because it is the Kansas State Soil and the analysis is for a buried gas pipe to run through …

Agentcite: Trustworthy Ai Agents For Information Verification Across Referenced Documents, Eymen Yigit

Master's Theses

This thesis presents AgentCite, a multi-agent framework for automated verification of referenced numerical data in research documents. The framework employs a hybrid design in which LLM-based agents handle document understanding and evidence retrieval, while deterministic components manage structured parsing and value comparison, improving consistency and reproducibility while reducing token consumption and execution time compared to fully agentic approaches.

AgentCite consists of three autonomous agents: a Negotiator, a Main Document Agent, and a Source Documents Agent, coordinated through a fixed tool-call pipeline. The Negotiator orchestrates verification by extracting tabular data from the main document, retrieving evidence from per-source vector stores, and …

Probing Representational Emergence In Large Language Models, Shawn Ismail

Master's Theses

This thesis investigates whether abrupt behavioral gains in large language models under scaling are accompanied by systematic changes in internal representations. It combines a behavioral screen of 65 tasks per family with targeted layerwise probing across eight decoder-only, open-weight model families. Behavioral emergence is defined for each family-task trajectory using an empirical jump detector, with segmented regression retained only as a diagnostic. The representational follow-up analyzes 27 selected MMLU subtasks shared across all families, spanning 37 checkpoints and 216 family-task units.

For each follow-up checkpoint, frozen linear probes are trained on every layer's hidden states to measure how much task-relevant …

Preserving Cherokee Culture Through Literacy And Literature: A Study Of Gendered Literacy, Rhetoric, And Cultural Continuity In The Cherokee Nation, Diana W. Baber

Master's Theses

Early explorers to what is now America, beginning with Hernando DeSoto in 1530, stole the dignity and the lands of the Indigenous peoples of America, of whom the Cherokees are only one nation. Two of the things that could not be taken was the Cherokees’ rich cultural tradition and oral histories. Stories passed orally from generation to generation to ensure that histories were preserved. They were largely preserved by the women of the tribe.

After the American Revolution, there was pressure from the new government to force the Cherokees to assimilate to the new American culture—to speak English, dress and …

Toni Morrison's New World Black Woman: Refuting, Deconstructing, And Redefining Black Women's Identity, Victoria L. Bell

Master's Theses

Abstract

Through critical analysis of media: literary works, performance, and television, this thesis explores the prejudices, silencing, dehumanizing, sexualization, and marginalization of Black women, their bodies, identity, and trauma inflicted by White-authored texts, specifically the American canon. I analyze the works of Black women authors, scholars, and activists, who counter the false representation of the patriarchy. Their literary works refute, deconstruct, and redefine the canon’s distorted, racial and gendered stereotypes, later to be named controlling images.  While narrating the Black woman’s authentic self, experience, body, and womanhood they reclaim space, authenticity, and agency.

In my research and analysis, the central …

Analysis Of Lateral Load Distribution In Steel Girder–Concrete Deck Bridges: Influence Of Diaphragm Behavior Under Wind And Vessel Collision Loads, Bhupesh Chand

Master's Theses

Bridges are critical components of modern transportation infrastructure, and their structural response under extreme loading conditions is essential for ensuring safety and serviceability. A key challenge in current bridge engineering practice is accurately understanding and predicting the lateral load distribution in steel girder–concrete deck bridge systems subjected to wind and vessel collision loads. While the AASHTO LRFD Bridge Design Specifications provide well-established provisions for vertical load distribution, magnitudes and load combinations (Article 3.4), they do not explicitly define lateral load distribution factors (LLDFs) for such extreme lateral loading conditions or address the role of the deck in redistributing these loads …

Design And Validation Of A Wearable Respiratory Protection System For Wildland Firefighters, Oliver Pilon

Master's Theses

Wildland and Wildland–Urban Interface firefighters are routinely exposed to hazardous smoke with fine particulate matter, carbon monoxide, volatile organic compounds, and other toxic combustion products. Existing protective gear has significant limitations and shortcomings for these conditions. Respirators with tight-fitting facepieces make it difficult to breathe and speak. On the other hand, self-contained breathing apparatuses are too heavy, have a limited duration of use, and do not work well with long wildland fire scenes, while smaller protective equipment like N-95’s and gaiters provide very little protection. These constraints contribute to low adoption rates and prolonged occupational exposure.

This thesis presents the …

Johnson–Lindenstrauss Projections As Architectural Components In Deep Neural Networks, Charles Q. Ray

Master's Theses

Modern deep neural networks are heavily overparameterized, with learned representations occupying lower-dimensional subspaces than their ambient dimensions suggest. This thesis investigates whether fixed random Johnson-Lindenstrauss (JL) projections can exploit this redundancy by functioning as architectural bottlenecks that reduce model size and training cost while preserving task performance.

We systematically evaluate JL-based compression across multiple architectures (convolutional networks, multilayer perceptrons, vision transformers, autoregressive language models) and tasks (reconstruction, classification, language modeling). Experiments reveal that compression tolerance depends critically on placement strategy and compression ratio.

Linear probe analysis quantifies intrinsic dimensionality at different network depths, revealing that CIFAR-10 final representations require only …

Using Ensemble Disagreement To Stabilize Conformal Prediction Under Distribution Shift, Patrick D. Murphy

Master's Theses

Semantic segmentation of eelgrass from drone imagery is crucial for coastal habitat monitoring, restoration, and management, as these habitats continue to see rapid changes due to climate change and human influence. However, the reliability of generalizing a deployed classification model relies on both high-accuracy segmentation as well as robust uncertainty quantification that holds up when conditions change over years or locations. Conformal prediction (CP) is a method that converts a classifier's output into prediction sets with a guaranteed average coverage level for in-distribution data. However, the “vanilla” conformal score can often under-cover in hard or out-of-distribution (OOD) regions under drift. …

Design And Development Of A 12-Degree-Of-Freedom Quadruped Robot, Kai De La Cruz

Master's Theses

This thesis presents the design, analysis, and experimental validation of a 12-degree-of-freedom (DOF) quadruped robot developed as a research platform for legged locomotion and control. The system builds upon the Cal Poly Legged Robotics Group’s prior 8-DOF quadruped, addressing key limitations in manipulability, load distribution, and mechanical robustness by introducing a 3-DOF leg architecture.

The mechanical design emphasizes lightweight construction, structural integrity, and modularity to support future research extensions. Static and dynamic loading models were developed to inform component sizing and material selection. A carbon-fiber chassis and redesigned leg assemblies were fabricated and validated through finite element analysis and physical …

The Application, Construction, And Validation Of Hidden Markov Model Profiles For Carbonic Anhydrase Enzymes, Samuel F. Kaplan

Master's Theses

Carbonic anhydrases (CAs) catalyze the reversible hydration of CO2 and have evolved independently at least eight times, resulting in structurally distinct enzyme families (α, β, γ, δ, ζ, η, θ, ι). Traditional sequence alignment methods struggle to classify these convergently evolved proteins because their sequential similarity does not reliably indicate functional or evolutionary relationships. Many CA sequences in public databases are annotated generically without family assignments, and prior computational approaches have focused predominantly on the three well characterized families (α, β, γ), leaving the five recently discovered classes without robust classification tools. Family level assignment is often a prerequisite for …

Covering Spaces, Mapping Class Groups And Heegaard Splittings, Tri Tran

Master's Theses

One studies the symmetries of an algebraic object by looking at its automorphism group. For example, the automorphism group of a regular n-gon is generated by rotations and reflections, and the automorphism group of {1,...,n} is generated by transpositions. We study the group of symmetries of a closed, oriented 2- and 3-dimensional manifold M, called the mapping class group of M. In the 2-dimensional case, it is known explicitly what the generators of the mapping class group are. We present a proof of this fact following Farb and Margalit's exposition. The question about the mapping …

Mechanistic Framework Of Wood Decomposition In Post-Storm Vegetative Debris Piles Using Continuous Quality Theory, Thomas T. Lee

Master's Theses

Storm events generate significant quantities of vegetative debris composed of wood, branches, twigs, and other organic materials. Efficient post-storm resource recovery and carbon accounting depend on reliable predictions of decomposition within these large, heterogeneous debris piles. While small-scale wood decay is well studied, decomposition dynamics within multi-layer debris piles remain poorly characterized, limiting municipalities' ability to estimate material longevity and resource recovery potential.

To address this gap, this study develops the WOOD_DK (Wood Organic Oxidation and DegraDation Kinetics) model, a preliminary, exploratory one-dimensional multilayer decomposition framework simulating coupled temperature, moisture, oxygen, and carbon dynamics in MATLAB. Microbial decomposition follows Continuous …

Neurosymbolic Counterpoint Generation, Paul D. Jarski

Master's Theses

Recent advancements in generative artificial intelligence have revolutionized music generation, yet research has predominantly focused on raw audio synthesis over music in symbolic form, i.e. a score. This thesis presents the first neurosymbolic model designed to generate imitative Renaissance counterpoint in symbolic (MIDI) format. By leveraging an autoregressive Transformer architecture, this research explores the capacity of deep learning models to manage independent voices and strict stylistic constraints.

We compare multiple data representation strategies with distinct tokenization methods. The proposed model incorporates a symbolic component that enforces fundamental contrapuntal rules. Additionally, this thesis contributes a preprocessed dataset of Renaissance polyphony, in …

A Simulation Framework For Edge Lane Roads And Bicycle Shared Roadways, Nick Sauciur

Master's Theses

Edge Lane Roads, also referred to as Advisory Bike Lanes, are a shared roadway treatment that designates space for cyclists while allowing flexible use of the roadway by motorists. They are commonly applied on lower speed corridors and can be used both where roadway width is limited and where agencies seek to manage vehicle speeds, clarify cyclist positioning, or improve shared roadway operations. The configuration provides visually designated space for cyclists while allowing motorists to encroach into that space when yielding to opposing traffic. Although interest in these facilities is growing in North America, quantitative tools for evaluating their operational …

Evaluating Carbon Risk And Benefit Under Improved Forest Management Prescriptions In A California Mixed Conifer Stand, Jonathan A. Garcia

Master's Theses

Improved forest management (IFM) prioritizes carbon accumulation through practices such as extended rotations and retention harvesting. These management strategies, increase fuel loads and elevate the potential fire intensity, may offset the benefits of carbon sequestration. Additionally, IFMs use spatially complex silvicultural treatments that may introduce prediction errors into the simulation processes used for long-term projections, and carbon accounting.

We evaluated the extent to which calibration in the Forest Vegetation Simulator (FVS) reduces error in aboveground carbon stock predictions and tested whether modeling approaches and calibration influence the magnitude and direction of basal area increment (BAI) prediction error using generalized mixed-effects …

Time-Dependent Amplification Of Growth Rates In A Plankton-Oxygen Model, Rapha Coutin

Master's Theses

Near-bottom hypoxia occurs when dissolved oxygen levels drop to a level that is harmful to marine biology, creating biological dead zones along the ocean floor. Recent years have seen a dramatic increase in the percentage of coastal, near-bottom, hypoxic water, with the average in 2021 nearly double that of the average from 2009 to 2018 and about twenty-eight times the average from 1950 to 1980. Recent literature has linked this increase in oceanic hypoxia to the increase in upwelling-favorable winds caused by climate change. Upwelling brings low-oxygen, nutrient-rich water up to the surface, leading to plankton blooms and mass consumption …

Video Generation Techniques For Novel View Synthesis With Flow-Matching Transformers, Xiuyuan Qiu

Master's Theses

Novel view synthesis (NVS) aims to generate images of a scene from unseen camera viewpoints. Recent work, such as Stable Virtual Camera, shows that large-scale image diffusion models like Stable Diffusion can be adapted for pose-conditioned view synthesis by incorporating video-generation techniques with camera conditioning. In this thesis, we introduce MVFlow, a new NVS model that extends this approach to a different image generation architecture: a flow-matching diffusion transformer, specifically FLUX.1, which has demonstrated strong performance in image synthesis. We evaluate MVFlow under varying input view counts and pose distance settings. Our results show that this architectural transfer is feasible; …

Designing For Trust In Chat-Based Question Answering Systems: An Exchange-Based Retrieval Approach, Nathan Mccutchen

Master's Theses

Community chat platforms such as Discord and Slack support spontaneous, collaborative communication but make it difficult to retrieve previously discussed information. As conversations accumulate, valuable exchanges become buried, leading to repeated questions and sustained burden on experienced community members.

This work contributes a set of design requirements for question-answering systems operating over unstructured chat data, a Discord bot prototype implementing those requirements named Echo, and an empirical evaluation of how such a system affects user trust. Rather than encoding discrete question-answer pairs or generating synthetic responses with a language model, Echo indexes conversation topics for semantic retrieval and presents results …

Exploring Non-Conventional Substrates: The Role Of Hibiscus And Whey In Kombucha Fermentation, Benjamin J. Lee

Master's Theses

This study evaluated the impact of hibiscus and whey as alternative fermentation substrates on the physicochemical, phytochemical, and microbial properties of kombucha. A 2 × 2 full factorial design was used to compare four treatments: black tea + water (BW), black tea + whey (BH), hibiscus + water (HW), and hibiscus + whey (HH). The fermentation solvents (water or whey) were heated to 88 °C, infused with 0.6% (w/v) black tea or hibiscus for 10 minutes, sweetened with 10% (w/v) sucrose, cooled to 22 °C, and inoculated with 20% (v/v) kombucha starter culture. Fermentations were carried out at 22 °C …

A Scalable Iteration Of The Horizon Simulation Framework Using Multithreading Techniques, Jason E. Beals

Master's Theses

The Horizon Simulation Framework (HSF) occupies a unique space in the modern aerospace modeling landscape, enabling flexible, modular modeling of mission-level agent behavior through an object-oriented, hierarchical design. HSF's hallmark breadth-first search scheduling algorithm explores a "multiverse" of possible mission execution pathways, enabling exhaustive evaluation of schedule combinations against user-defined heuristics.

As aerospace systems become increasingly complex, HSF faces critical challenges in establishing verifiable, deterministic behavior. The framework's core scheduling algorithm had not undergone systematic validation, leaving questions about temporal consistency, state management correctness, and reproducibility across different program executions. Furthermore, the exponential growth of schedule combinations creates computational bottlenecks …

Empirical Comparisons Of Partial Dimension Reduction Algorithms In High-Dimensional Regression, Nathan Greenfield

Master's Theses

In high-dimensional regression problems, dimension reduction methods are often used to address the challenges of multicollinearity and estimation instability. Partial dimension reduction extends these ideas by applying dimension reduction to a subset of the predictors, while the remaining predictors are modeled without compression. This approach is particularly useful when it is important to retain variability and interpretability in certain predictors.

This thesis investigates the empirical performance of partial dimension reduction algorithms and introduces a novel algorithm, Iterative Partial Residual (IPR). Two algorithms are considered: a baseline algorithm, Marginal Residual (MR), and the proposed IPR method. Their predictive performance is evaluated …

Sea Level Trends Near Critical Levees In The Sacramento-San Joaquin Delta, Reyna Sanchez Gomez

Master's Theses

The Sacramento-San Joaquin Delta (Delta) levee system faces threats from rising sea levels, land subsidence, and deteriorating levees, all of which pose risks to California’s primary surface water supply. The purpose of this thesis is to assess relative sea level rise (RSLR) and estimate the spatially varying factors that influence water levels in the Delta. This thesis extends the work of Baranes et al. (2023) to the period 1975-2022 by appending recently acquired water-level records (1975-1982) to modern datasets (1982-2022) from 10 water-level stations. These water level datasets were digitized, quality-assured, and referenced to a common geodetic datum, as described …