Digital Commons Network^™

Using Noninvasive Calibrated Cuff Plethysmography To Observe The Effects Of Lifestyle Habits On Arterial Compliance, Joshua M. Whitaker

Master's Theses

Cardiovascular disease remains as a leading cause of death for both sexes and across all racial backgrounds. Continuing to research causes, early predictors, and preventative actions are paramount to ensuring that cardiovascular disease starts to decrease in its activity. Endothelial dysfunction is the earliest known predictor of cardiovascular disease, therefore investigating early detection methods of endothelial dysfunction can improve health outcomes. This study revolves around a non-invasive calibrated cuff device that uses the principles of segmental plethysmography and oscilliometry to measure arterial compliance of baseline and induced hyperemic conditions in human subjects to determine how well arteries vasodilate in response …

Caring For Others And Self Care: Examining “Good” Care Among The Older Vietnamese Community In San José, California, Chloe Nguyen

Master's Theses

In this thesis, I present a study of the older Vietnamese community in San José, California. I explore the concept of "good" care through the anthropology of care, a conceptual framework that examines how care is understood and practiced across different cultural and social contexts. Using ethnographic methods, such as interviews and participant observation, I examine caregiving practices and experiences, as well as community members' perceptions of what constitutes "good" care. I draw on concepts of "good" care, reciprocal caregiving, and self-care to analyze themes that emerge from their caregiving practices and experiences. I also discuss caregiving at a distance …

Exploring Synthetic Data Generation For Machine Learning And Statistical Analysis, Aditi S. Gajjar

Master's Theses

In the data-driven machine learning and statistical analysis world, real-world data availability is often constrained by privacy concerns, access restrictions, or resource limitations. To address these challenges, synthetic data provides a groundbreaking solution, enabling academics and data scientists to generate artificial datasets that mimic real-world data for model development and testing in a controlled, privacy-preserving environment. The syntheticDatasets package represents an R-based counterpart to Python's widely-used Scikit-learn dataset generators, adapted to meet the needs of statisticians, educators, and data scientists primarily working in the R programming ecosystem.

This thesis explores the design and implementation of the syntheticDatasets package, focusing on …

Performance Enhancement For Rufa: Rapid Urban Forest Assessment, Nicholas Tan

Master's Theses

Urban forests are crucial to the livability and resilience of cities, offering critical ecosystem benefits such as air quality enhancement, temperature regulation, and biodiversity. Managing said urban forests is essential to ensure their sustainability and adaptability to rapidly changing environmental and climate conditions. The Rapid Urban Forest Assessment (RUFA) tool was developed to address the need for a standardized approach to evaluating and comparing urban and community forestry programs. By analyzing and aggregating tree-specific data across California, such as canopy cover, tree counts, and diversity scores, RUFA assigns a comprehensive urban forestry score for each city. This score allows for …

Flower Color Variation And Its Maintenance: Experimental Ecology Of Serpentine-Adapted Leptosiphon Parviflorus Benth. (Polemoniaceae), Magdalene S. Lo

Master's Theses

Environmental heterogeneity can impose fluctuating selection pressures on species across space and time. If variations of a trait provide fitness benefits in certain environmental conditions but not others, these fitness tradeoffs under fluctuating selection could be a means of maintaining intraspecific variation. A common type of intraspecific variation is the production of anthocyanins, pigments responsible for red, pink, and blue colors in plants and that can also provide protection from abiotic stressors, such as water limitation and heavy metals. Leptosiphon parviflorus Benth. (Polemoniaceae, variable linanthus) is an annual wildflower whose individuals produce either pink or white flowers, and both flower …

Accelerating Relationship Discovery In Chronic Lower Back Pain Through Knowledge Graph And Ontology Enhanced Large Language Models, Damon Lin

Master's Theses

Chronic lower back pain (cLBP) is a widespread public health burden linked to anxiety, depression, and opioid addiction. Interventions aimed at treating cLBP have shown minimal improvements in pain outcomes, leading researchers to reexamine our understanding of cLBP through constructing a causal model. However, constructing causal models through Randomized Controlled Trials are often unfeasible, and relying on domain expertise requires extensive and time-consuming research, posing a serious bottleneck for designing effective treatments. To accelerate this process, we apply Knowledge Graphs, Ontologies, and Large Language Models (LLMs) to aid researchers in determining possible causal relationships. First, we demonstrate how LLMs can …

Dynamic Modeling And Simulation Of A Power Generation Steam Rankine Cycle For A Fluoride Salt-Cooled High-Temperature Reactor Nuclear Power Plant, William R. Ton

Master's Theses

Nuclear Fluoride Salt-Cooled High-Temperature Reactors (FHRs) have the potential to greatly improve nuclear technology in terms of safety and cost. By combining molten salt coolant technology from the Molten Salt Reactor (MSR) and TRISO fuel technology from the Very High Temperature Gas Reactor (VHTR), FHRs may operate at significantly lower pressures than Light Water Reactors (LWRs) and with a more robust fuel source that is excellent at containing fission products. However, as no FHR has been built, there are still many design questions to address. This thesis uses transient computer modeling and simulation to investigate how an FHR could potentially …

An Analysis Of Neuroidal Memory Formation Within D. Melanogaster, Jerry Chang

Master's Theses

The Neuroidal model poses a neurobiologically plausible theory for modeling the brain. This symbolic network has been shown to capture realistic memorization behaviors using the JOIN algorithm. The model has also been recently improved by incorporating Watts-Strogatz small-worlds within its base structure. From the efforts of neuroscience researchers, we have access to the Drosophila melanogaster (D. melanogaster) fruit fly’s connectome, which has been found to also contain small-worlds in this thesis. By synthesizing the Ocellar Ganglion (OCG) region of Drosophila, we compare a digitized version of a real-world brain with an instance of the Neuroidal model. In this thesis, we …

A Comparative Evaluation Of Feedback Strategies For Enhancing Student Software Test Suite Writing Outcomes, Ashton Alonge

Master's Theses

Background and Context

Software testing is a fundamental component of computer science education, forming the basis for students’ ability to ensure program correctness and reliability. Despite its importance, many students struggle to design test cases that effectively expose faults and achieve meaningful test coverage. Traditional instructional approaches often emphasize code coverage metrics such as line or branch coverage, but these metrics may not adequately capture the quality of student tests. Mutation analysis, which measures how well tests detect small, artificial faults (mutants) introduced into the program, offers a potentially richer measure of test effectiveness. However, little is known about how …

Reverse Design Of Solid Rocket Grain Geometry, Yechan Kang

Master's Theses

The reverse design of solid rocket motors remains a challenging process due to the nonlinear relationship between the grain geometry and the internal ballistics. The reverse design process involves obtaining an optimal grain geometry given a target performance curve set by mission requirements, which is the inverse problem of the forward design. The purpose of this study is to assess the validity and implementation of neural network and simulated annealing algorithms to perform the reverse design process. A modified phase field model of the eikonal equation is derived to simulate the evolution of combustion surfaces over time, enabling burn back …

Generalized Detection Of Animal Behavior Using Accelerometers, Alexander J. Arrieta

Master's Theses

Animal mounted sensors are becoming increasingly used to passively monitor both domestic and wild animals. Advances in lightweight accelerometer and GPS technology have allowed many animals to be fitted with high accuracy sensors for extended periods of time. This leads to new opportunities to study animal behavior without direct observation. However, interpreting the raw data is difficult due to the high volume and missing context of the information. Machine learning techniques excel at extracting information from raw data streams and are excellent candidates for processing the sensor data. However, due to large variance in how different animals execute the same …

Educational Methods For Fostering Sustainability Competencies: A Toolkit For Integration Of Sustainable Education In Engineering, Clara Hallgarth

Master's Theses

This thesis proposes a framework to assist in developing educational activities targeting the longitudinal growth of sustainability skills, knowledge, and attitudes (cumulatively known as competencies), contextualized in a Toolkit for engineering educators. This framework is applied to three civil engineering classes in a teaching-oriented university to demonstrate potential applications and limitations. Sustainability integration in higher education institutions has been recognized as increasingly important as complex sustainability challenges continue to develop and arise. Sustainable education, a pedagogical framework and collection of educational methods, has been shown to produce students with the key sustainability competencies needed to address sustainability challenges and promote …

Abiotic Stress Impacts On Macrophomina Root Rot And Nano-Encapsulated Citrus Oils To Control Fruit And Foliar Pathogens Of Strawberry, Marina J. Gutierrez

Master's Theses

Disease remains one of the major constraints to the productivity and economic success of the California strawberry industry. The most important soilborne pathogen is Macrophomina phaseolina, causing Macrophomina root rot (MRR). The most economically significant airborne pathogens include Botrytis cinerea, causing Botrytis fruit rot (BFR), and Podosphaera aphanis, causing powdery mildew (PM).

Disease severity of MRR is highly dependent on environmental factors. Therefore, understanding which abiotic stressors contribute most to disease development is crucial for effective management. A two-year field experiment at Cal Poly, SLO (2024 and 2025) evaluated the effects of drought stress, two elevated chloride …

Using Scenario-Based Design Activities To Explore Sociotechnical Thinking In Engineering Professionals, James M. Whealan

Master's Theses

Sociotechnical thinking is the ability to recognize the interconnectedness of both technical and non-technical dimensions such as environmental, economic, social, cultural, and political factors. Although traditional engineering curriculum often emphasizes technical knowledge and skills, research suggests that engineering work is inherently sociotechnical. While sociotechnical thinking is a critical engineering skill, relatively little is understood about the nature of it or the different aspects comprised within it. To that end, this study addresses the following research question: What sociotechnical factors do engineering professionals consider in a collaborative scenario-based design activity? To answer this question, we conducted a qualitative study of engineering …

Building Roads To Engagement: A Survey Of Post-Secondary Community Engagement Education In Transportation, Meghan E. Kolin

Master's Theses

Community engagement is a critical part of the urban planning process for both academics and practitioners, but transportation planning’s significant technical knowledge requirements and focus on special interest groups make such engagement difficult. As such, college- and graduate-level transportation planning programs must include significant education about public participation practices. However, little research exists regarding how community engagement is taught in these programs or how well this education prepares students for real-world practice. This research is aimed at filling this gap by answering two questions: first, how transportation-focused post-secondary programs in the United States conduct community engagement education; and second, whether …

Hallucination Techniques For Self-Supervised Synthetic Datasets For Mobile Robots, Wyatt D. Colburn

Master's Theses

Classical techniques in autonomous navigation struggle in tightly constrained spaces. Machine learning has been shown to perform better in these difficult environments but most techniques require large amounts of navigation experience for training. Using a new machine learning paradigm learning from hallucination (LfH), training data can be collected in a safe environment and not require supervision. Data is collected in real time while an agent performs a random walk in free space, supervision is not required as there are no obstacles for the robot to run into. After a random walk a post processing pipeline will hallucinate a safety corridor …

Time-Domain Symmetrical Components For Detection And Analysis Of Unbalanced Faults In Three-Phase Systems, Ryan Pospichal

Master's Theses

Unbalanced faults in three-phase power systems degrade performance, increase losses, and threaten equipment reliability. Traditional frequency-domain approaches using phasor analysis and symmetrical components offer valuable steady-state insights but respond too slowly for transient or rapidly changing conditions. This thesis investigates time-domain symmetrical components (ISCs) as a faster, physically interpretable method for detecting and analyzing unbalanced faults directly from instantaneous voltages and currents. Two ISC computation techniques were developed and compared: a polar-form method, applying one-third and two-thirds cycle time delays, and a rectangular-form method, which achieves equivalent phase shifts using only a quarter-cycle delay. Simulations in Microsoft Excel verified both …

Analyzing Urban Soil Moisture Profiles: Implications For Stormwater Management In New Haven, Ct, Tushar Ahmed

Master's Theses

Effective stormwater management is essential for enhancing the resilience of urban environments facing challenges from climate change, aging infrastructure, and increasing impervious surfaces. As cities adopt green stormwater infrastructure such as bioswales to relieve these pressures, understanding the hydrologic behavior within these systems becomes essential. This study investigated soil moisture dynamics in New Haven, Connecticut by analyzing the seven critical points (A, B, C, D, E, F′, and F) that describe pre-storm, during storm and post storm drying behavior within bioswale systems. A total of 77 bioswale sites were monitored during May and June 2025, covering 14 storm events. Soil …

Where Is Dance In Education? Perspectives On The State Of Dance In Independent Schools Across The Midwest And How One School Community Fits Into The Larger Picture, Megan O'Toole

Master's Theses

The goal of this study was to examine the current state of dance education in independent K-12 schools in the Midwest region of the United States. The researcher developed four essential questions to guide the study:

Q1 Which schools had dance programming, and which schools did not have dance programming?

Q2 For the schools that had dance programming, what did the dance programs look like?

Q3 What factors influenced a school’s decision to include dance programming?

Q4 What factors influenced a school's decision to exclude dance programming?

A regional study was conducted to understand the trends associated with current dance …

The Impact Of Using The Visual, Auditory/Aural, Reading/Writing, And Kinesthetic (Vark) Model In Ballet Class: A Multifaceted Approach To Teaching Ballet Technique To Children Ages Nine To Twelve Years Old, Angelle Cain Wise

Master's Theses

The purpose of this study was to generate data that would measure the impact of the application of the Visual, Auditory/Aural, Reading/Writing, and Kinesthetic (VARK) Model learning styles on student comprehension and execution of movement in ballet class. The researcher sought to answer these questions:

Q1 Does teaching students’ using their preferred learning style help them understand the movement thoroughly?

Q2 Does teaching students’ using their preferred learning style help them execute the movement more precisely?

There was a total of twelve participants ages nine to twelve years old and two observers, whom were colleagues of the researcher. A set …

So You Think You Can Teach Dance?: Evaluating Effective Indicators And Assessments For Teaching Ballroom Dance In A High School Setting, Alyssa Arnold

Master's Theses

The purpose of this study was to determine the most effective learning indicators of ballroom dancing for high school dance educators in Utah’s DSD so that a later date, updated rubrics and assessments could be created and presented as artifacts to DSD’s Fine Arts Supervisor for future teachers. The researcher sought to answer the following questions:

Q1 How are teachers currently assessing students’ ballroom dancing?

Q2 What are the most important learning indicators to teachers?

Q3 Are the learning indicators in alignment with the required standards?

This research took place over two sessions held during students’ regularly held ballroom dance …

Navigating The Terrain: Sense Of Belonging In Geology Field Camps, Ezra J. Hammersfeld

Master's Theses

Social success and feelings of belonging within academic settings play critical roles in students’ continued engagement. Students who feel like they belong are more likely to perform better academically, create feelings of academic self-efficacy, and be more satisfied with their educational experiences (Aelenei et al. 2020; Baker 2013; Chen et al. 2020; Hoffman et al. 2021; Rosenthal et al. 2013; Smerdon 2002; Walton et al. 2012). I examine sense of belonging through analysis of secondary data focused on college student experiences in geology field camps. I approached the study using modified grounded theory (Charmaz 2014) in order to best capture …

Integrating Dance Into Early Childhood Education For Children With Developmental Disabilities: A Curriculum-Based Approach, Stephanie Stine

Master's Theses

The purpose of this thesis was to examine the effects of a structured dance curriculum on the social-emotional learning (SEL) and gross motor development of preschool-aged children with disabilities, specifically those ages three to five, as well as to explore teacher and specialist perceptions of dance as a tool for supporting children’s development. The study was conducted in collaboration with an early childhood education center. Twenty-eight children, ages three to five, participated in ten creative movement sessions designed to promote coordination, balance, and expressive engagement through themed lessons emphasizing emotional awareness and imaginative play.

Quantitative data were collected through observation …

Dancing With Logic: The Impact Of Integrating Dance In Teaching Introductory Computer Science Concepts On Student Understanding And Engagement, April Monk

Master's Theses

The purpose of this study was to investigate the effectiveness of dance-integrated pedagogical methods in enhancing the learning experiences of students in an introductory computer science course. In particular, the research aimed to measure the impact of creative movement on student comprehension, engagement, and perceptions of computer science. To guide this investigation, the study explored three research questions: Does integrating dance into lessons impact students’ comprehension of fundamental computer science concepts? How does dance integration affect student perceptions of both dance and computer science? And what elements of dance contribute to differences in comprehension between dance-integrated and traditional lessons? A …

N-Aryl Phenoxazines As Polymer Supported Photocatalysts, Mary Kathryn Hall

Master's Theses

In photosynthesis, the energy of sunlight is perfectly harnessed to facilitate the production of small molecules that are essential for plant life on earth. Inspired by this model of energy efficiency and simplicity, this work seeks to mimic that ability to use the energy in visible light to perform new and more efficient chemistries. Just like in photosynthesis, photocatalysts can act as chromophores absorbing light to excite electrons opening new pathways for previously untapped reactivity. Recent research has provided a wide range of small molecule reactions that are made possible or easier by the use of a photocatalyst. However, these …

The Finite Fourier Transform: Realizing The Irreducible Complex Representations Of The Special Linear Group Over A Finite Field, Kelly Jane Lyle

Master's Theses

Classically, one of the central methods of understanding an abstract group has been through its representations in other structures, such as permutations of sets or linear transformations of vector spaces. As a detailed illustration of this method, we will focus on the matrix group SL(2,q), which consists of all invertible 2x2 matrices with entries in a finite field with q elements. We will outline the explicit construction of every (irreducible) complex representation of this group. Along the way we will also touch on foundational concepts in representation theory, such as characters and induced representations.

A Study On Deepsea Fish Detection Using Convolutional Neural Networks, Poojitha Priyadarshini Madari

Master's Theses

This study investigates automated deep-learning methodologies for two primary tasks, firstly fish and its habitat classification and deep-sea fish detection using the DeepFish dataset. A pretrained ResNet-50 model attained a validation accuracy of 82.8% for multi-class habitat classification, demonstrating robust performance in most habitats based on 6,517 images, although exhibiting lower recall for visually similar or underrepresented classes. A binary ResNet-50 classifier achieved 99.8% accuracy in distinguishing fish from. no-fish images using approximately 40,000 images. The YOLOv5s model, trained on 4,505 images containing 15,463 bounding-box annotations, achieved a mean average precision ([email protected]) of 98.2% All models were trained on the …

Seagrass Carbon Standing Stock In The Northern Gulf Of Mexico: The Role Of Seagrass Beds In Mississippi As Potential Blue Carbon Sinks, Devan Hildebrand

Master's Theses

Organic carbon stored in marine ecosystems is known as blue carbon. Seagrass beds have the ability to contribute to global blue carbon standing stocks through the uptake and sequestration of carbon from the water column. Through coastal management and conservation best practices, blue carbon habitats have the potential to help mitigate the effects of climate change. Although widely studied, knowledge gaps exist on the sediment carbon standing stock of seagrasses. I aim to better understand how persistent seagrass meadows surrounding barrier islands in the northcentral Gulf of Mexico contribute to long-term blue carbon standing stocks. Subaqueous sediment cores were collected …

Life History And Distribution Of Two Species Of Cownose Ray, Rhinoptera Bonasus And Rhinoptera Brasiliensis, In Mississippi Coastal Waters, Anna Millender

Master's Theses

Historically, the American Cownose Ray (Rhinoptera bonasus) was considered the only rhinopterid residing in the northern Gulf of Mexico (GOM); however, recent studies have confirmed the presence of the Brazilian Cownose Ray (Rhinoptera brasiliensis) throughout this region. The current study investigated the life history and distribution of both species within Mississippi waters, an area that previously represented a data gap for both species. From April 2016 – July 2025, 193 R. bonasus and 94 R. brasiliensis were analyzed to describe the reproductive biology. Reproductive timing, mating, gestation length, and parturition were similar among species. Although more …

Mississippi Dugout Canoes: An Ethnohistorical And Archaeological Analysis From 1538-1900s, Sean N. Mccraw

Master's Theses

Watercraft remains an overlooked aspect of Southeastern historical and archaeological scholarship. A more complete understanding has the potential to illuminate aspects of the human social process in anthropology and a more accurate construction of historical events. Recent Developments in Southeastern Archaeology, published in 2012, mentions the importance of the connections that water travel facilitated, but the work does not mention any serious investigation. While history has investigated the role native trails played in the development of the region, and while Andrew Lippmann has illustrated the agency that boat skills and watercraft gave Natives in the coastal North American region during …