Digital Commons Network^™

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. …

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 …

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. …

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 …

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 …

Real Time Markerless 3d Hand Tracking For Intuitive Robotic Arm Control, Dylan G. Featherson

Master's Theses

This thesis presents a real-time, markerless motion-capture system for intuitive control of a multi-degree-of-freedom robotic arm. Using two synchronized RGB cameras and stereo-vision triangulation, the system reconstructs the three-dimensional position of a user’s hand without the need for physical markers or wearable sensors. The reconstructed 3D coordinates are mapped directly to the end-effector position of the Quanser QArm, a four-degree-of-freedom educational manipulator. Developed entirely in Python, the system integrates stereo camera calibration, 3D hand tracking with MediaPipe, coordinate transformation, and inverse kinematics into a unified real-time control pipeline operating at approximately 200 Hz. Calibration is performed through a checkerboard-based stereo …

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 …

Origami-Inspired Pneumatic Soft Robotic Gripper, Conor J. Schott

Master's Theses

This thesis presents the design and evaluation of a vacuum-actuated, origami-based soft robotic gripper. A custom Sea Urchin crease pattern forms a lightweight folding skeleton that collapses radially under vacuum. The system emphasizes low cost and accessibility through laser cutting, 3D printing, and silicone molding. The Sea Urchin geometry was selected after digital and physical screening of candidate crease patterns for smooth folding, low strain concentration, and uniform inward motion. The folding skeleton is laser cut from 4 mil drafting film and folded into a compliant core. Four membrane configurations were developed: an origami gripper with a 36-inch balloon (Design …

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 …

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 …

Digital Neuropsychology And Social Anxiety: The Effect Of Observer Presence And Personality On Stress And Cognition, Ava M. Dixon

Master's Theses

This study examined how observer presence and social anxiety influence stress and cognitive performance during neuropsychological assessments, focusing on the potential benefits of unsupervised digital testing environments. Eighty university students were randomly assigned to observed or unobserved digital neuropsychological conditions and completed assessments of social cognition and executive functioning and questionnaires of social anxiety and personality. Participants also completed measures of state anxiety and heart rate variability at baseline and after cognitive tests. The findings indicated that observation led to higher subjective anxiety, but it did not produce significant interactions with social anxiety on stress or cognitive performance. Post-hoc analyses …

The Potential Co-Occurrence Of Perfectionism, Food Insecurity, And Gpa With Orthorexia Nervosa Risk, Samantha Kay Gould

Master's Theses

There are indeterminate risk, prevalence, and correlation data on orthorexia nervosa (ON) as shown by current literature on disordered eating (Rodgers et al., 2021). As a roughly defined disordered eating pattern, ON may be better understood after identifying associations among other attributes in a college student sample (Abdullah et al., 2020; Mavrandrea & Gonidakis, 2023; Parra-Fernández, 2019; Rogowska et al., 2021). A cooccurrence and influence of perfectionism, food insecurity, and grade point average (GPA) with ON risk was hypothesized since current literature suggests college students exhibit each of these characteristics independently (Abdullah et al., 2020; Ambwani et al., 2019; Caferoglu …

Food Neophobia And Its Prevalence Among College Students In The United States, Joanne Mwendi Ponnappa

Master's Theses

Food neophobia “the reluctance to try unfamiliar foods” may influence diet variety and cultural food acceptance among young adults. College students represent a critical group for studying this behavior, as they are developing independent eating habits that can persist into adulthood. This study examined the prevalence of food neophobia among U.S. college students and evaluated how academic background, travel, cultural exposure, and demographic factors influence openness to trying unfamiliar foods. A cross-sectional online survey was administered via Qualtrics to 264 college students across the United States. The Food Neophobia Scale (FNS; Pliner & Hobden, 1992) was used to assess reluctance …

Early Visual Predictors Of Progression To Alzheimer’S Disease And Dementia With Lewy Bodies, Abril Baez

Master's Theses

We examined whether specific visual cognitive skills predict progression from Mild Cognitive Impairment (MCI) to Alzheimer’s disease (AD), or dementia with Lewy bodies (DLB). The Benson Complex Figure Task (BCFT) was used to measure visual perception and construction (copy), and visual memory (recall). National Alzheimer Coordination Center longitudinal dataset included participants who remained stable (MCI-stable; n =2630), progressed to AD (MCI-AD; n =798), or progressed to DLB (MCI-DLB; n =59). Baseline BCFT scores were entered into logistic regression models predicting diagnostic outcome. Impaired copy performance was significantly associated with MCI-DLB (B = 0.79, OR = 2.21, BCa CI [0.26, 1.36], …

Phylogenetic Comparative Vocal Evolution, Casper W. Buchanan

Master's Theses

Vocal learning is a trait unique to humans, bats, cetaceans, primates, and birds (Jarvis & Nottebohm, 1997; McComb & Semple, 2005; Wilbrecht & Nottebohm, 2003). Although there has been extensive research on vocal learning in songbirds, parrots are an even closer proxy to human learning, as they are social, intelligent, and lifelong learners, with some having repertoires of over 300 sounds (Benedict et al., 2022; Péron et al., 2011; Thomsen et al., 2019; Toft & Wright, 2015). Elevated vocal learning can be attributed to the need for parrots to have strong communication skills through the sharing of information over foraging, …

Towards Automated And Explainable Insider Threat Response In Electronic Health Records: A Role-Aware Machine Learning Framework, Luca Lippi Ornstil

Master's Theses

Healthcare remains a prime target for cyberattacks, with insider misuse and credential compromise posing major risks to Electronic Health Records (EHRs). This thesis introduces a role-aware, explainable anomaly detection and response framework integrated with OpenEMR to address post-authentication threats. Four models—Local Outlier Factor (LOF), Isolation Forest, Autoencoder, and Graph Neural Network (GNN)—detect behavioral deviations across temporal, device, and role-based features, with LOF serving as the primary runtime detector. A configurable policy engine maps anomaly severity to proportional actions, from email alerts to read-only restrictions or account suspension, all reversible and auditable. Evaluation on real EHR logs shows the system’s operational …

Alpine Plants And Climate Change: Tracking Community Shifts In Yosemite National, Brooke L. Wallasch

Master's Theses

As climate change progresses, alpine plant communities are predicted to shift upslope as they track temperature over time. Relative to lowland environments, alpine areas are experiencing a faster rate of temperature change due to a phenomenon referred to as elevation-dependent warming. A common approach for tracking plant communities shifts over time, is to conduct resurveys of the same area at several time points, as the Global Observational Research Initiative in Alpine Environments (GLORIA) has done on mountain summits around the world since 2001. In 2011-2013, GLORIA developed a supplemental survey method whereby belt transects were established downslope of summits in …

Enhancing Non-Player Character Dialogue In Video Gages: An Evaluation Of Large Language Model-Generated Responses, Lam P. Quach

Master's Theses

As video games increasingly emphasize narrative depth and player immersion, the quality of Non-Player Character (NPC) dialogue has become crucial for creating engaging gaming experiences. This thesis investigates the potential of Large Language Models (LLMs) to generate high-quality NPC dialogue by comprehensively evaluating four state-of-the-art models: Gemma 3 27B, Mistral 7B, QWEN 2.5, and LLAMA 3.1. The study employs a mixed-methods approach, combining human evaluation (N=50 participants) with AI-based assessment across five key benchmarks: coherence, personality expression, engagement, style/tone appropriateness, and overall quality. Participants evaluated 32 dialogue samples (8 per model) generated for a fantasy game context featuring two distinct …

An Evaluation Of The Relationship Between Beef Cattle Grazing Activity Traits And Conception Methods During The Breeding Season, Jason Dubowsky

Master's Theses

Efficient use of native rangelands and improved reproductive success are primary objectives in beef cattle production. Grazing behavior during the breeding season may be influenced by pasture characteristics, including size and water availability, as well as physiological differences due to reproductive status. This study aimed to evaluate the relationship between grazing activity and conception method in crossbred Angus cows over a 2-year period. The study was conducted during the winter months (December – February) on the Central Coast of California with a mean temperate of 53 degrees Fahrenheit. Cows (n = 76) were blocked by age and then randomly assigned …

Exploring The Moderating Effect Of Boundary Management Strategy In A Remote Work Environment, Brandon M. Vasquez

Master's Theses

Remote work has evolved significantly, especially during the COVID-19 pandemic, and continues to influence employee experiences in both positive and negative ways. Managing the separation between work and personal life is of importance. More specifically, using a boundary management strategy of segmentation may be more effective than an integration strategy because those who separate the two domains of work and family/personal life may be less prone to conflict in their lives. The present study aimed to examine the moderating effect of boundary management strategy on the relationship between remote work and job satisfaction, work-life balance, and well-being. Specifically, it was …

Blenderized Tube Feeding Formulas: Attitudes, Barriers, And Clinical Benefits As Perceived By Registered Dietitians In Pediatric Care, Savannah Smiley Keeler

Master's Theses

Blenderized tube feeding formulas (BTFF) are increasingly recognized as a viable alternative to conventional commercial tube feeding formulas (CTFF) for pediatric patients requiring enteral nutrition. This cross-sectional, exploratory study aimed to assess the experiences, attitudes, and perceived clinical benefits of BTFF use among Registered Dietitian Nutritionists (RDNs) working with gastrostomy-tube-dependent pediatric populations in the United States. A total of 146 RDNs completed a 45-item online survey, which gathered quantitative and qualitative data on BTFF familiarity, feasibility, clinical outcomes, caregiver factors, and institutional barriers. Findings revealed that while BTFF use remains variable across clinical settings, 55.8% of RDNs reported increased utilization …

Evaluation Of The Performance Of The Traveling Wave Differential Element In Protective Relays, Niranjan Kc

Master's Theses

This thesis evaluates the dependability, security, and limitations of the traveling wave differential protection function (TW87) in modern time-domain-based protective relays, using a combination of simulations and hardware testing in a laboratory environment. Fault transients are first generated using the electromagnetic transients program model of a real, 230 kV, 65.7 km long overhead transmission line, which are then played back on real time-domain-based protective relays. Various fault scenarios are chosen to evaluate the impacts of factors such as fault inception angle, distance to fault from line terminals, fault type, fault impedance, and external faults on the relay functions’ performance. Results …

Analyzing The Relationship Between Diabetes Duration And Self-Management In Adults With Diabetes, Caroline Noel Stroo

Master's Theses

Diabetes mellitus (DM) is a metabolic disease that affects 14.7% of adults in the United States (Centers for Disease Control and Prevention, 2023). Prevalence of diabetes increases with age, with rates for adults aged 65 and older reaching 29.2% (Centers for Disease Control and Prevention, 2023). Factors such as age, race, obesity, physical activity level, and genetics strongly increase the risk of developing type 2 diabetes (T2DM) (National Institute of Diabetes and Digestive and Kidney Disease, 2016). Diabetes requires complex and comprehensive management to reduce the risk of developing comorbidities (Al-Shabeeb et al., 2021). Factors such as education, familial support, …

Lactation Management Training In Graduate Nutrition And Dietetics Programs: A Preliminary Report, Laura Ashton Gillin

Master's Theses

The American Academy of Pediatrics recommends exclusive breastfeeding (BF) for the first six months and continued breastfeeding for at least two years with complementary food. Despite this recommendation, only 24.9% of infants in the United States are exclusively breastfed at six months (Breastfeeding Report Card 2022). Breastfeeding support and lactation management are critical to promoting a successful breastfeeding experience. Specifically, qualified support from a Registered Dietitian Nutritionist (RDN) is recommended, yet graduate students in Nutrition and Dietetics do not receive adequate training regarding breastfeeding intervention. This study aimed to evaluate graduate Nutrition and Dietetic programs to determine the amount of …

Vitamin B12 Deficiency: Confidence, Perspectives, And Practices Among Registered Dietitian Nutritionists, Avery Miller Adams

Master's Theses

Vitamin B12 deficiency is common in the United States, occurring in 20% of adults aged 60 and above (Andres et al., 2004). Veterans are susceptible to B12 deficiency due to tobacco product usage, alcohol consumption, and poor diet quality. Megaloblastic anemia is the second most prevalent vitamin deficiency disorder recorded in military personnel from 1997 to 2015 (Knapik et al., 2021). This exploratory, analytic research aims to assess registered dietitian RDN nutritionists’ (RDN) knowledge, perceptions, and intentions regarding treating vitamin B12 deficiency in a clinical setting. Due to population prevalence differences, responses from VA and non-VA practicing registered dietitian-nutritionists (RDNs) …

Is There An Association Between Food Literacy And Diet Quality In Young Adult College Men?, Morgan Claire Mayeux

Master's Theses

Food literacy skills can improve dietary intake in young adults as it provides them with the tools they need to make healthier food-related decisions. The benefits of improving food literacy includes the reduction in the risk of prevalent, preventable dietrelated diseases such as obesity, T2DM, heart disease, and other chronic diseases that plague the Unites States today. Previous literature reports primarily on college female samples. Because a large proportion of the samples in the available studies are female, the current literature may not reflect young adult men’s food literacy and its comparison to their overall diet quality. The purpose of …