Digital Commons Network^™

Using Facial Recognition For Selective Pose Detection, William J. Parker

Master's Theses

Pose detection involves locating and identifying key body points for all individuals within a frame. This enables the ability to convert the pose into a digital format, which can then be recorded and analyzed for a variety of purposes. Advancements in the field have already opened applications in areas such as digital fitness coaches, fall detection, and virtual reality. Existing approaches primarily focus on tracking all detected individuals, which limits the practical applications when attempting to analyze a single or specific subject when there are other people in frame. Previous work has discussed integrating identification, but these approaches use identification …

An Interpretative Phenomenological Analysis Of Black Female Swimmers' Experiences Of Belonging, Felicity E. Passon

Master's Theses

Although swimming participation has grown in the United States, the experiences of Black female swimmers remain significantly underrepresented in academic literature. This study addresses that gap by exploring the lived experiences of Black women participating in Division 1 (D1) college swimming. Using Interpretative Phenomenological Analysis (IPA) and Black feminist thought, the research explored how Black female D1 swimmers experienced belonging in this underrepresented sport. Semi-structured interviews were conducted with nine D1 Black female swimmers, and six major themes illustrate the varied factors that shaped their experiences of belonging. Even with racially gendered barriers to inclusion, they identified strategies to foster …

Investigating The Complexity Of Language Acquisition For Linguistically Diverse Children, Krittin Srisajjakul

Master's Theses

Understanding the natural productions of children's early expressive language development is important to support their development. These natural productions may also be especially complex in children with diverse linguistic backgrounds. A challenge for clinicians is how to assess these natural productions for children’s early expressive language milestones. For example, what does it mean for children to say the same word in two languages and refer to the same concept (e.g., “water” and “agua”)? Or refer to two different concepts, (e.g., “water” and “leche” (milk))? By understanding how children’s expressive language connects to conceptual understanding, clinicians can better support language learning. …

Sirilla: Predicting Traffic Flow Via Stacked Decentralized Federated Learning, Andrew Selvia

Master's Theses

Billions of people today rely on traffic predictions to optimize their travels. Digital mapping services deliver accurate predictions by learning from vast troves of historical data. Impressive as these systems are, their assumptions do not always apply. They depend on an endless flow of sensitive user data to a central authority, a stable Internet connection, and trustworthiness on both sides of the traditional client-server model. This thesis explores a novel architecture which bucks those assumptions. In the proposed model, traffic data remains on edge devices which individually train models via federated learning. Beyond the obvious privacy benefits, this architecture enables …

False Starts & Finish Lines: Youth Sports, Coaching, & The Crisis Of The American Dream, John S. Lammert Jr

Master's Theses

False Starts & Finish Lines: Youth Sports, Coaching, & the Crisis of the American Dream examines how the American youth sports system reflects, reproduces, and at times resists the evolving contradictions of the American Dream. Drawing on a comparative analysis of institutional documents from public high schools, travel clubs, and recreational leagues, this thesis interrogates how youth sports have shifted from inclusive spaces of play and character-building to stratified marketplaces governed by the Athletic Industrial Complex (AIC). It argues that rising costs, performance pressures, and privatized structures have transformed access to sport—and, by extension, to the Dream itself—into a function …

Unmanned Aerial Systems (Uass) In Rangeland Ecosystem Management: Assessing Grazing Impacts At Willits, California, Pramil Khanal

Master's Theses

California's rangelands, vital for biodiversity and cattle production, face threats from land use changes and climate changes, necessitating robust management strategies. While overgrazing has been studied extensively, the effects of light rotational grazing on vegetation have seldom been assessed. This study used Unmanned Aerial Systems (UASs) and multispectral imagery to assess the seasonal impacts of light rotational grazing on vegetation health and coverage in wetland mitigation areas near Willits, California. Data were collected in May (spring) and November (fall) 2024 using a DJI M3M drone and MicaSense camera capturing RGB and Near-Infrared (NIR) bands. Green Chromatic Coordinate (GCC) and Normalized …

The Buzzard In The Abolitionist Sea; An Examination Of Maritime Suppression, Imperial Policy, And The Slave Trade Through The Royal Navy’S Hms Buzzard, 1830s-1840s, Sean Joaquim Coudray-Pereira

Master's Theses

Analysis of the Royal Navy through the microhistory of the HMS Buzzard following the abolition of the slave trade between 1807 and the 1840s by Great Britain offers insight into the moral ambiguities and complexities of the humanitarian mission. The historiography of the slave trade has primarily focused on the moral and economic ideology behind its abolition, pitting one against the other. Applying a micro-historic approach highlights the nuances of both arguments, and through the HMS Buzzard’s crew, captives, disease, voyages, and legal battles accentuates the blend of both argument approaches. The case study of its longevity through all six …

Seconds From Impact: Anticipatory Vehicular Crash Prediction Using Video Vision Transormers, Ryan P. Geisen

Master's Theses

Vehicular collisions represent a significant public health concern, necessitating re search into advanced emergency notification systems. While deep learning has shown promise in accident detection, a research gap persists in applying state-of-the-art transformer architectures to the task of anticipatory, real-time crash prediction from video. This thesis addresses this gap by developing and evaluating a Video Vision Transformer (ViViT) for the binary classification of imminent vehicular collisions. Utilizing a curated dataset of 1,493 unique collision sequences, this study systemati cally investigates the impact of temporal context by comparing the ViViT against a single-frame Vision Transformer (ViT) baseline and conducting comprehensive exper …

Chemical And Physical Characterization Of Verbenaceae Essential Oils Using Modern Analytical Methods And Chemometrics, Aleksandra N. Hilliard

Master's Theses

Essential oils have been used for generations to treat various health issues, including mitigating insomnia, reducing stress, inflammation, and preserving foods, to mention a few. Essential oils have complex chemistry, which defines the essence of the host plant. Recently, increased commercial uses of essential oils have prompted attention at the governmental level to monitor the chemical, physical, or biological activity of essential oils. This study is an attempt to add new information for consumers to the understanding of the composition of essential oils.

Modern analytical techniques including FTIR-ATR, GC-MS, LC-MS-MS, multivariate analysis statistics, and physio-chemical techniques (electrochemistry, DPPH, TRC, and …

Regulation Of Spermatogenesis By The Notch Signaling Pathway, Emma O'Flaherty

Master's Theses

The Notch signaling pathway plays a significant role in gonad development and spermatogenesis, but little is known about its specific targets in the testis. The Drosophila testis contains two populations of stem cells: germline stem cells and cyst stem cells, which give rise to differentiating germline and somatic cyst cells, respectively. Notch signaling is activated in the somatic cyst cells by the Delta ligand from the germline in a region of the testes coined the “transition zone”, where somatic cyst cells progress from early cyst cells surrounding gonialblasts and 2-cell germline cysts to late cyst cells surrounding 16-cell spermatocyte cysts. …

Loss Of Neuropeptide F (Npf) Signaling Reduces The Strength Of Circadian Rest-Activity Rhythms But Not Feeding-Fasting Rhythms, Katelyn Ann Wendt

Master's Theses

The circadian system governs crucial physiological and behavioral processes, dictating activities like movement, hormone release, and sleep patterns over a 24-hour cycle. Disruptions to these rhythms can lead to various health problems, including cardiometabolic dysfunction. Research has demonstrated the presence of circadian rhythms of feeding behavior in diverse organisms, but the specific molecules involved are not yet identified. Neuropeptide Y (NPY) influences metabolic activity in mammals, and its counterpart, NPF, affects locomotor activity and feeding in Drosophila melanogaster. Our study aims to investigate whether NPF, its receptor (NPFR), and NPF-expressing cells play a role in regulating circadian rest-activity and feeding-fasting …

Two Leading Female Figures Of The Anti-Colonial Struggle In Africa, Marie-Ange Anezi Djie

Master's Theses

The Eurocentric and male narrative of the anti-colonial struggle in Africa during the twentieth century marginalized women’s contributions and presented them as passive victims of colonialism. Therefore, this study offers a more comprehensive historical account of women's leadership in Africa and a more inclusive and liberated narrative of the anti-colonial movement. Achieving this goal involves delving into the roles and contributions of two prominent female figures in the anti-colonial resistance in Northern and Sub-Saharan Africa during the twentieth century: Huda Shaarawi from Egypt and Funmilayo Ransome-Kuti from Nigeria. Furthermore, this study aims to demonstrate that the actions and strategies of …

Family Matters: Experiences Of Family Stigma, Addiction Recovery & The Role Of Self-Compassion, Kennedy Hoying

Master's Theses

Addiction and substance use is currently one of the most stigmatized disorders in society, creating a barrier to treatment and recovery. This study explored the role of family stigma, the stigmatization processes of family members of otherwise stigmatized individuals, within families of substance users to examine how stigma might affect family support behaviors. Two hundred and twenty-two U.S. adults who have a substance using family member completed an online survey regarding their experiences of family stigma, attributions of responsibility for addiction, self-compassion, and any supportive recovery behaviors they engage in to help their family member’s addiction. Results of correlation analysis …

Anthropogenic Litter In Freshwater Ecosystems: Effect On Ecosystem Processes And Spatial Distribution, Emily Johnson

Master's Theses

The rapid increase of plastic production and disposal into the environment has resulted in anthropogenic litter (i.e., trash; AL) becoming a global problem. In aquatic ecosystems, macro- and microplastics are long-lived, mobile, and interact with the physical and chemical components of aquatic ecosystems. Our objectives were to: (1) assess the impact of microplastic pollution on the ecosystem processes of ecosystem metabolism and N2 flux in an oligotrophic lake and (2) to assess the abundance and assemblage of anthropogenic litter in a large urban river. For objective (1), we added microplastics at a range of concentrations to littoral mesocosms. Ecosystem metabolism …

Effect Of Foot Strike Pattern On Joint Kinetics On A Downhill Slope, Evan Manley

Master's Theses

With recent increases in participation in outdoor running events, there is a need for research in downhill gait biomechanics. One change that could impact joint loading is foot strike pattern. Foot strike patterns have been categorized into rearfoot-strike (RFS), midfoot-strike (MFS), and forefoot-strike (FFS) [1]. While 75-99% of distance runners naturally RFS on level surfaces, they tend to move towards FFS when it is necessary to reduce vertical loading conditions at the knee [1]. The purpose of this study was to examine differences in peak vertical knee and ankle forces, knee moment, and ankle power, as well as cumulative force …

Opensim Analysis Of The Aymara Indigenous People Performing Ancestral Tasks: Exploring Trends Of Muscle Activity With Tiwanaku Skeletal Indicators, Noah M. Taylor

Master's Theses

The Tiwanaku civilization (AD 500-1100) of the Andean highlands exhibited occupational specialization in communities, with archeological evidence suggesting the existence of labor- and residential-communities, or “taskscapes”, based on an individual’s livelihood. Prior bioarcheological studies have examined Tiwanaku skeletal remains for musculoskeletal stress markers, osteoarthritis, and cross-sectional geometry to infer activity patterns. Their descendants, the Aymara Indigenous people, currently live in the same highlands and until recently lived a lifestyle like their ancestors. Over the past 20 years, the global quinoa demand has risen, thrusting the Aymara into globalization and moving them away from the traditional tasks previously performed. This study …

Acoustic And Hemodynamic Analysis Of Phantoms: Roughness And Flow Dynamics, Ethan Erik Olof Sundberg

Master's Theses

The purpose of this study was to determine whether different vascular phantoms, with and without a surrogate arm, could serve as effective analogs to the human brachial artery for assessing endothelial dysfunction, an early indicator of cardiovascular disease, particularly atherosclerosis. Atherosclerosis is characterized by plaque buildup and endothelial damage, which precede more severe clinical events and are often detectable through changes in vascular function. A 40” water tower was used to simulate diastolic pressure, enabling water flow through each phantom. Strain gauge pressure transducers were placed at both ends of the phantoms to measure pressure drop, while a microphone captured …

Video Game Hacking, A General Problem With Generalized Solutions, Luke Rowe

Master's Theses

As video games continue to get more popular and lucrative, the number of malicious actors seeking to exploit them grows with it. As this industry expands, so does the importance of securing games against cheating and abuse. This thesis aims to educate developers to help mitigate the abuse of video games by these malicious actors. The goal of this thesis is to provide a foundational framework for thinking like a hacker and how to make games harder to abuse once a hacker bypasses conventional anti-cheat software.

This thesis outlines some of the most common cheating methods and provides general context …

Optimizing Microfluidic Murine Fibroblast And Human Epidermal Keratinocyte Cell Culture In 70Μm Microwells, Christian Navarro

Master's Theses

Cell culture is an essential technique utilized in biotechnology and medicine to remove systemic influences to study cellular behavior and morphological development of individual cell lines. However, conventional cell culture is two-dimensional and static meaning it can’t easily mimic in vivo conditions such as multicellular cell to cell interactions, fluid perfusion, or 3D structures which might alter cellular behavior and morphology. Microfluidic cell culture allows for the incorporation of in vivo conditions such as perfusion and chemical gradients allowing for more physiologically accurate models. The goal of this study is to develop a protocol for testing a microfluidic chip designed …

Evaluating The Viability Of Shared Electric Vehicle Fleet Services For A Higher Education Campus Through An Assessment Of Current Commuter Behaviors, Gabriel Denson

Master's Theses

The transportation sector remains the largest contributor to greenhouse gas emissions in the United States, with single-occupant personal automobile travel accounting for a significant portion of total emissions. While sustainable mobility solutions such as electric vehicles (EVs) and shared transportation services have emerged as potential strategies to reduce environmental impact, adoption rates remain slow due to behavioral, economic, and infrastructural barriers. This research explores the feasibility of a shared electric vehicle fleet service to reduce vehicle miles traveled (VMT) and improve mobility in and around college campuses, using California Polytechnic State University, San Luis Obispo, as a case study.

Through …

Effectiveness Of Nutrition Education On Male Student Veterans From Cal Poly, San Luis Obispo University, Keith S. Kim

Master's Theses

This pilot study evaluated the effectiveness of a 13-week nutrition education intervention designed to improve dietary patterns, physical health, and mental health outcomes among 10 student male military veterans at California Polytechnic State University, San Luis Obispo. The intervention, grounded in the Dietary Guidelines for Americans, 2020–2025, included a one-time educational presentation and periodic recap videos to reinforce key messages. Outcome measures included dietary intake, body mass index (BMI), handgrip strength, depressive symptoms (via the Beck Depression Inventory), and post-traumatic stress disorder (PTSD) symptoms (via the PCL-5). Results revealed no statistically significant changes in dietary patterns, BMI, handgrip strength, …

"Great Big Beautiful Tomorrow": Disneyland, Science, And The Cultural Cold War, Emily Searson

Master's Theses

Disneyland, the popular Anaheim-based theme park in California, opened its doors during heightened Cold War tensions in 1955. In this thesis, I trace the origins of Tomorrowland, one of the five original themed lands in Disneyland that included futuristic rides and attractions to depict Walt Disney’s imagining of the year 1986. I examine Tomorrowland in particular to argue that WED Enterprises (Disneyland, Inc.’s research and development arm) and Disney’s vision of scientific progress aligned with U.S. Cold War policy goals, especially containment. Disney and WED Enterprises meticulously planned Tomorrowland with the help of notable American defense contractors, including the Monsanto …

Analysis And Design Of A Building With Inter-Story Seismic Isolation, Sofia Barale

Master's Theses

Earthquakes can cause considerable damage to buildings, and their unpredictability means engineers must often design for worst-case scenarios. The current goal of building design codes is to prevent collapse and loss of life during a seismic event. However, after a seismic event, even if the building did not collapse, enough damage can leave the building uninhabitable and need of extensive and costly repairs. Therefore, seismic mitigation techniques like base isolation systems have been widely implemented as a seismic design solution. An isolation system works to decouple the structure from the ground and laterally displaces it with a longer fundamental period …

A Decision Support System For Conference Session Selection Using Natural Language Processing, Tillman E. Erb

Master's Theses

Conference attendees are faced with selecting from hundreds to thousands of presentations and sessions in pursuit of new findings and methods relevant to their area of interest, an overwhelming amount of information from which to clearly make a decision. To address this, we developed a decision support system leveraging natural language processing (NLP) techniques such as semantic matching. By creating and matching embeddings of conference presentation abstracts and titles, the application provides improved query matching compared to keyword searching. We introduce Session Scout, a novel conference decision support system built upon a semantic retrieval framework. Session Scout is designed to …

Open Source Microgrid Integration, Zachary J. Kwast

Master's Theses

Microgrids are small-scale electrical systems that operate in tandem with a centralized grid to provide power to a smaller group of target devices. These microgrids are used for a wide range of different purposes, which invites the need for a generalized model that can be tweaked for a variety of uses. This document goes over the theory used to design an open source AC and DC microgrid meant for use by anyone. The microgrid is created using a Raspberry Pi that controls two different power converters so that a wide range of voltage and current characteristics can be achieved. These …

Bandwagon Behavior In Major League Baseball, Daniel E. Erro

Master's Theses

This study investigates “bandwagon” behavior among Major League Baseball (MLB) fans by analyzing Google search interest data from 2004 to 2019. Drawing on publicly available information from Google Trends, the analysis explores how fluctuations in search activity align with team performance during both the regular season and postseason. Hierarchical linear models are used to estimate expected levels of fan interest based on team performance and market characteristics. Deviations from these expectations during the regular season are interpreted as evidence of bandwagon or anti-bandwagon behavior. A drop-off in interest following playoff elimination is also examined to capture shifts in fan attention …

Babies, Babes, And Bayes: Modeling Mother-Infant Feedings With Bayesian Multilevel Hidden Markov Models, Zachary G. Felix

Master's Theses

Understanding the interaction between mother and baby during feeding is critical for the long-term development health of the baby. Overfeeding can lead to later obesity, while underfeeding can lead to malnutrition. In a recent study, the behaviors exhibited by mother-infant dyads across multiple ages of infants have been observed and coded according to the Baby Behaviors when Satiated (BABES) coding scheme. However, creating models using the data obtained from this coding is no simple task since the data coding is continuous, multivariate, and longitudinal in nature. The specific model utilized for these data is a hidden Markov model, since there …

When Trees Disappear: Understory Successional Implications Of Sudden Oak Death And High-Severity Wildfire In Big Sur, California, Sam J. Balthazard

Master's Theses

The rapidly emerging disease sudden oak death, caused by the non-native pathogen Phytophthora ramorum, is transforming coastal California forests by driving extensive mortality of tanoak (Notholithocarpus densiflorus) and increasing fire severity. As a novel disturbance, sudden oak death and its interaction with wildfire may catalyze unexpected shifts in successional trajectories and reconfigure forest understory communities. Furthermore, how tanoak influences the forest understory and how its decline might reshape understory dynamics remain poorly understood. We hypothesize that disease alone and the compounding disturbances of disease and wildfire alter successional dynamics, and that the potential functional extinction of N. …

Comparing The Effectiveness Of Low Impact Image Analysis To Traditional Vegetation Sampling In A Branford Marsh, Peter T. Porrello

Master's Theses

The growing need for non-intrusive research methods has led to a surge in passive data collection, such as audio recorders, data loggers, and camera traps, in the ecological field. This improves the capacity to observe fragile habitats without causing any harm and gives researchers new perspectives on the natural world. A non-invasive cable camera system is suggested as a means of gathering data to lessen these ecological disruptions. By taking images of the salt marsh's surface, this technique will minimize plant destruction and lower CO2 emissions brought on by foot traffic through the marsh, whilst producing data that is on …

Topodino: Self-Supervised Topological Representation Learning For Neuronal Morphologies, Yasser Binbisher

Master's Theses

Neuronal cell types are categorized by transcriptomic identity, yet their morphological heterogeneity defies this classification. In response, researchers have adopted unsupervised graph representation learning as a tool to reveal morphological variation within single-class transcriptomic types. However, the complex geometry of neuronal morphology—especially long axons and dense dendrites—challenges graph neural networks, which struggle with message propagation across extended structures. To mitigate this, current approaches enforce sub-sampling on neuronal graphs and omit axons entirely, sacrificing critical biological features for computational efficiency. To overcome this trade-off, this thesis introduces TopoDINO, a self-supervised, topology-aware representation learning model designed to preserve the full hierarchical organization …