Digital Commons Network^™

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 …

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 …

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 …

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 …

Marsanywhere: Dataset And Cross-View Diffusion Model For Satellite-To-Ground View Synthesis With Mars Data, Benjamin T. Hinchliff

Master's Theses

Satellite-to-ground view synthesis aims to create a realistic ground view image from a corresponding satellite view image. This is a well-studied problem for street level imagery, with good results being achieved by using modern image synthesis techniques such as diffusion models. However, despite the public availability of satellite and ground level imagery on Mars, these techniques have yet to be applied to the domain due to difficulties in collating and processing the data into a usable form. We address this deficiency by creating a dataset consisting of ground view panorama imagery from the Perseverance rover, along with associated satellite view …

Why The Long Face? The Distribution And Niche Of The Imperiled Narrow-Faced Kangaroo Rat (Dipodomys Venustus), Garrett L. Gimbel

Master's Theses

Distribution models provide a practical use case of connecting ecological niche theory with species’ occurrence and assemblages. By explicitly linking Hutchinson’s “niche space” with geographic space researchers can gain valuable information on a species’ niche characteristics and interactions, thereby informing conservation and management practices. The narrow-faced kangaroo rat (Dipodomys venustus) is a highly understudied kangaroo rat species endemic to the central coast of California and is an ideal species to explore niche theory in distribution modeling. Three subspecies are currently recognized: The Santa Cruz kangaroo rat (D. v. venustus), the elephant-eared kangaroo rat (D. v. …

Using Hydraulic And Hydrologic Modeling To Determine Scour At Toro Creek Under Climate Change Conditions, Gabriel E. Alaniz

Master's Theses

ABSTRACT

This study evaluates bridge scour at the Toro Creek crossing of Highway 1 in Morro Bay, California, under present conditions and future climate conditions with more frequent extreme rainfall events. California infrastructure is becoming increasingly vulnerable to extreme storm events and increased intense precipitation events brought by climate change. This analysis focuses on the calculation of scour for both the northbound and southbound spans. Highway 1 plays a vital role in California’s coastal transportation infrastructure by carrying more than 20,000 vehicles daily (Caltrans, 2017). In this thesis, a hydrological model (HEC-HMS) is used to simulate runoff under present-day and …

The Edge Of The World: An Examination Of The Wild West In California, 1840-1880, Chloe J. Cushing

Master's Theses

“The Edge of the World” revolves around the history of the Wild West in California through the lens of Richard Maxwell Brown’s Western War of Incorporation theory. Rather than being a mythology sensationalized by Hollywood and literature, for the Golden State, the Wild West was a very real and tangible part of its early-American era, characterized by U.S. imperialism, high murder rates, anti-authoritarianism, and other rampant forms of chaos that affected the state for generations. By examining the conditions and effects of the late Mexican period, the Gold Rush, Confederate sympathizers, and the Southern Pacific Railroad, this thesis highlights the …

Enhancing Ad/Adrd Management Through Ihelpcare: A Compliant And Culturally Sensitive Ai-Driven Digital Healthcare Platform, Trisha Bhowmick

Master's Theses

The digital healthcare field is expanding fast, and now it requires platforms that use advanced technology and maintain robust data security and compliance practices. In the present paper, we present the main structure, key methods, and compliance strategies of the digital healthcare system iHelpCare, which, while fully meeting the HIPAA/GDPR requirements, provides health services more accessible, efficient, and inclusive. The proposed platform is powered by AI for personalized care solutions, with the main emphasis on preventive health management and providing tools for people with disabilities.

iHelpCare achieves real-time patient monitoring while securing medical data management and easy communication between patients, …

Llm-Powered Question Answering For Object States In Virtual Reality, Shiyi Ding

Master's Theses

Recent advances in large language models (LLMs) and multimodal large language models (MLLMs) enable natural language–based querying in virtual reality (VR). However, VR environments are highly localized, personalized, and dynamic, making it challenging for general-purpose models to answer environment-specific queries or reason about subtle object state changes. To address these challenges, this thesis develops two systems for 3D question answering in VR.

First, we present RAG-VR, the first retrieval-augmented 3D question-answering system designed for VR. RAG-VR augments an LLM with external knowledge retrieved from a localized knowledge database and includes a pipeline for extracting environmental and user-related information. To improve …

Moving Beyond The Tiktok Frame: Exploring Middle School Students' Understanding Of Dance Composition Through The Use Of Choreographic Exercises, Heather Barrett

Master's Theses

The purpose of this study was two-fold: (a) to measure student initial understanding of choreography against student final understanding of choreography and (b) to measure student dependency on social media for choreographic initiation. This study focused on the impact of choreographic exercises on participants’ abilities to create dance. This study also focused on the impact of using social media for inspiration on participants’ abilities to create dance. Participants were given a survey, choreographic exercises, reflections, an interview, and a rubric for a final performance project as metrics. These instruments measured participants’ responses in comparison to the beginning of the study …

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 …

Computational Study On Protein Docking With Vascular Disease Application, Lohitha Reddy Shanigaram

Master's Theses

This thesis investigates how computational methods can help us understand protein docking and vascular diseases by integrating machine learning. The main goal of this research is to develop a system that can predict whether variants in the SOX17 gene are associated to Pulmonary Arterial Hypertension (PAH), a significant vascular condition. To do this, a dataset of 1,063 SOX17 variants was created using publicly available sources such as ClinVar, gnomAD, LOVD, and Ensembl. The study included cleaning and structuring the dataset, encoding genomic data and training a Random Forest classifier to classify variants as positive, negative, or unknown for disease association. …

Personality And Perceived Police Legitimacy, Yuxuan Yang

Master's Theses

Police legitimacy refers to one’s trust in the police to be fair and make just decisions in their interactions with the public. Individuals’ perceptions of police legitimacy play a crucial role in predicting how they interact with police. More positive perceptions are associated with cooperative behaviors; less favorable views are associated with resisting behaviors. Few studies have examined the relationship of broad personality traits with perceptions of police legitimacy. The current study examined the HEXACO model of personality and right-wing authoritarianism as predictors of perceived police legitimacy among college students (N = 268). While taking gender, race, and social …

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 …

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 …

Best Practices For Local Law Enforcement In Counterterrorism: Enhancing Interagency Communication & Developing Modern Information Sharing Systems, Michael G. Fitterman

Master's Theses

Local law enforcement agencies play a critical and increasingly central role in the United States’ domestic counterterrorism architecture. While federal agencies possess sophisticated intelligence capabilities, local officers are often the first to encounter early indicators of radicalization, pre-operational planning, and suspicious behavior. Despite this frontline role, communication between local, state, and federal agencies remains fragmented, inconsistent, and sometimes informal. These gaps weaken national situational awareness and limit the ability of agencies to identify emerging threats.

This thesis examines the structural, technological and cultural challenges hat impede effective information sharing among law enforcement agencies. It outlines best practices that local departments …

Associations Between Food Insecurity And Gpa Among Full-Time California State University Undergraduates During Covid-19: The Impact Of Mental Health, Lindsey Jones

Master's Theses

Food insecurity is a persistent public health concern among college students that has been associated with student’s academic and mental health outcomes. This thesis examined the associations between food insecurity, academic performance (measured by GPA) and mental health (using Kessler 6 psychological distress and self-perceived mental health impacts on academic performance), among full-time undergraduate students within the California State University (CSU) system. Cross-sectional analyses were conducted using data from the Spring 2021 CSU National College Health Assessment, administered across all 23 campuses. Of the 20,167 respondents, 12,899 students were included in the analytical sample. Bivariate analyses were conducted to analyze …

Short-Arc Angles-Only Initial Orbit Determination For Leo And Geo Objects Using A Genetic Algorithm, Joseph R. Piini

Master's Theses

An ever-growing interest in utilizing space for scientific, commercial, and defense applications has led to an exponential rise in orbital debris recent years. With this sharp increase in space objects comes a greatly increased risk of potential collisions, necessitating an increase in Space Situational Awareness. In order to best mitigate the risk of future collisions in an increasingly congested space environment, it is crucial to be able to accurately determine the orbits of these new objects for trajectory tracking. This process is initial orbit determination (IOD), and is especially difficult when only observation angles are available for short observation times. …

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 …

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 …

Predicting Newsworthiness Of California Bill Discussions, Venkata Kedarnath Chaturvedula

Master's Theses

Among various California bill hearings, it is crucial to identify which hearings are most likely to receive media coverage, as this highlights the importance of the bill and the hearing, while also underscoring its societal impact. Digital Democracy, established at Cal Poly’s Institute for Advanced Technology and Public Policy, provides users access to a distinctive dataset and information about state legislative committee hearings, hearing transcripts, assets, bill information, etc.

This thesis presents a machine learning framework for predicting whether California legislative bills are likely to receive media coverage. Drawing on a dataset of legislative ”tip sheets” provided by Digital Democracy …

Analyzing Patterns In Hofstede’S Cultural Dimensions Towards Individual Ai Receptiveness For Affective Experiences, Maggie Yang

Master's Theses

The use of artificial intelligence (AI) has significantly advanced efficient decision-making, with trust in algorithmic decisions shown to vary by cultural upbringing [1]. As AI becomes increasingly embedded in everyday life, it is essential to examine how cultural values affect trust in AI in subjective contexts that extend beyond purely quantitative analysis, like the personal interpretation of art. This work utilizes Hofstede’s cultural dimensions to investigate potential patterns in receptiveness towards AI predictions during art interpretation, providing insight into individual susceptibility to bias in AI-assisted affective analysis.

The study leveraged a cultural dimension survey and a custom Java program connected …

Per- And Poly-Fluoroalkyl Substances Fate Across California Wastewater Treatment Plants: A Meta-Analysis Of Formation, Distribution, And Persistence, Elizabeth Reineke

Master's Theses

Per- and poly-fluoroalkyl substances (PFAS) are persistent contaminants that move through municipal and industrial wastewater systems with limited attenuation. As a result, they are increasingly detected in drinking water supplies. Despite growing regulatory concern, a systems-level understanding of PFAS behavior across multiple treatment facilities and watershed settings remains incomplete. This study compiled influent, effluent, and biosolids datasets from more than one hundred California wastewater treatment plants to evaluate PFAS occurrence, transformation, and partitioning across diverse treatment configurations. Analytical steps included calculating removal efficiencies, assessing precursor-to-product oxidation, evaluating co-contaminant correlations, and grouping facilities by process design to quantify configuration-specific fate patterns. …

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 …

Retrieval Augmented Framework For Deepfake Audio Detection, Avinash Saxena

Master's Theses

The widespread use of AI-based audio deepfakes threatens severely to undermine media integrity and public trust. Speech synthesis techniques have improved dramatically in voice conversion (VC) and text-to-speech (TTS) in recent years, making forgeries sound highly realistic, and concerns are raised about possible malevolent uses. Existing state-of-the-art techniques for identifying fake speech have proven to be effective in some cases but are still limited in application and robustness when faced with novel attacking strategies, different acoustic conditions, or alternative linguistic domains. To address some of these limitations, the current research presents a novel deepfake audio detection system based on personalized …

Towards A Generalized And Optimized Apriori Approach, Artem Abdikov

Master's Theses

Apriori is a machine learning algorithm developed in 1994 by R. Agrawal and R. Srikant for association rule mining purposes. This family of algorithms takes transactional data and analyzes relationships between variables in large datasets. The typical output of such algorithms is a prediction that if users choose item X, it is highly likely that they will also choose item Y. Apriori is known to be a robust algorithm and is used by many large companies in order to analyze user tendencies and even make recommendations. Although Apriori is a powerful algorithm, its original implementation is known to have limitations, …

“What Are We And What’S Coming Next?”: Queer People’S Experiences During Sociopolitical Unrest In The Us, Ariana Cristal Morales

Master's Theses

Queer (lesbian, gay, bisexual, transgender, queer, or other gender and sexual identities) folx have become a major focal point during political elections. As political climates have projected forced attacks towards queer populations, society has followed suit. Investigation on the impacts of such changes towards queer folx is important to uncover, as sociopolitical climates have shifted within the last 10 years in the US. The present study utilizes a phenomenological framework to understand the lived experiences of queer participants living in the US from 2015-2025 during political and social shifts. Semi-structured interviews were utilized to explore 10 queer participant’s lived experience …