Digital Commons Network^™

Workplace Incivility And Well-Being: A Moderated Mediation Analysis Of Loneliness And Supervisor Support, Marie Rylance

Master's Theses

By building on previous research and addressing calls to examine the growing epidemic of loneliness, this study investigated how workplace incivility affects employee well-being and workplace outcomes, with attention to the roles of loneliness and supervisor support. Guided by the Conservation of Resources theory, workplace incivility was conceptualized as a resource-draining process that fosters stress states such as loneliness. A key contribution of this study was examining the process through which incivility impacts employees, by testing loneliness as a mediating mechanism and supervisor support as a potential moderator. Using data from 178 participants, regression and mediation analyses were conducted, as …

The Effects Of Educational Materials On Knowledge And Attitudes Toward Psilocybin, Lindsey Elise Wade

Master's Theses

Depression is one of the most prevalent and burdensome mental health conditions worldwide, affecting millions and contributing to over 700,000 deaths by suicide annually. Nearly half of patients with major depressive disorder fail to respond adequately to standard antidepressant treatments such as selective serotonin reuptake inhibitors (SSRIs). Psilocybin-assisted therapy (PAT) has emerged as a promising alternative for treatment-resistant depression (TRD), yet public understanding of this therapy remains limited. The present study examined whether a brief psychoeducational intervention could affect knowledge and attitudes toward PAT among members of the general public in the United States. Participants were randomly assigned to read …

Parameter-Efficient Multimodal Adaptation: Ocr-Integrated Lora For Textvqa And Captioning, Karthik Ganesh Malini

Master's Theses

Vision-Language Models (VLMs) have emerged as transformative technologies for multimodal AI, yet they face significant hurdles in processing text-rich images required for enterprise applications like document understanding, medical imaging, and industrial inspection. Current VLMs struggle with accurate text extraction and reasoning, often exhibiting high hallucination rates and poor Optical Character Recognition (OCR) token utilization. To address these limitations, this research presents a comprehensive framework for optimizing parameter-efficient Low-Rank Adaptation (LoRA) fine-tuning strategies on state-of-the-art architectures, including LLaVA-1.5 and BLIVA-FlanT5. Our methodology integrates enhanced OCR token utilization, faithful caption generation, and specific hallucination mitigation techniques. We employ a multi-dimensional evaluation protocol …

Subculture And Identity As An Escape From The Societal Norms Of Power Imbalance And Authoritative Abuse, Sarah Goldberg

Master's Theses

By definition, a “bolthole” is an animal’s escape or burrow; or, a person’s escape or place of refuge. It also connotes construction, building, even sculpture - relating proletarian materials to themes of working-class labor and the need for escape. Through sculpture, installation, drawing, and oil painting, Bolthole as a body of work examines power imbalance as a societal norm, and identity and subculture as a rejection of the influence of capitalist institutions. Animal symbolism is used in combination with figurative work and portraiture, directly comparing power imbalances between humans to those in nature; such as predator and prey, parent and …

Bicultural Identity, Work-Life Balance And Mental Health Outcomes In Swana Students, Julie M. Salama

Master's Theses

Southwest Asian and North African (SWANA) college students navigate academic demands alongside immigration-salient stressors that may shape their mental health and academic performance. This study examined generational status (Gen 1 vs. Gen 2+), identity conflict, ethnic identity, and work–life balance (WLB) in overall GPA and major GPA, and mental health outcomes of depression (PHQ-9), and anxiety (GAD-7) among SWANA students (N = 35). Two one-way MANOVAs found no generational differences for academics (overall/major GPA) or mental health (PHQ-9/GAD-7). Identity conflict was unrelated to GPA or symptoms but was positively associated with ethnic identity, while WLB was negatively correlated with depression …

A Functional Mri Meta-Analysis Encoding In Alzheimer’S Disease, Joanne Ha

Master's Theses

Alzheimer’s disease (AD) is the most common form of dementia and is characterized by episodic memory impairment. Numerous functional magnetic resonance imaging (fMRI) studies have examined brain activity differences between individuals with AD and age-matched controls during memory encoding. However, small sample sizes and methodological variability across studies have limited the ability to draw meaningful conclusions regarding brain activity underlying encoding impairments. We conducted a meta-analysis to identify consistent patterns of hyperactivity and hypoactivity in AD during episodic memory encoding. Using PubMed to identify studies that met our inclusion criteria, 1,002 studies were screened; ultimately, seven studies were included in …

I Can’T Believe It’S Not Social: Investigating The Relationship Between Loneliness, Parasocial Relationships, And Potential Moderators, Hannah I. Suozzi

Master's Theses

Increased loneliness trends coincide with increased media use. Media is turned to as a source of comfort and distraction from the real world. There is cause to believe that people also use media as a way to form parasocial relationships (PSRs), one-sided relationships audiences form with media figures (i.e., celebrities, influencers, and fictional characters). The connection between loneliness and PSR is thought to be moderated by social vulnerability, particularly the need to belong (NTB) and ethnicity. The medium from which PSRs originate lacks empirical study. To address the limitations, this study analyzed data collected from San Jose State University students …

Stream Behavior Characterization Of Marin County Coastal Watersheds And Their Influence On Salmonid Habitat, Ellie L. Murdoch

Master's Theses

Coastal watersheds in California are increasingly affected by climatic variability, threatening stream behavior, ecological function, and salmonid habitat suitability. This study evaluated streamflow behavior of seven watersheds in Marin County, California, with detailed analysis of Corte Madera, Olema, and Redwood watersheds, which are not influenced by reservoir releases. Using USGS stream gauge records, PRISM climate data, SSURGO soils, and geologic and vegetation information, streamflow metrics critical to salmonid life cycles were quantified for water years 2014 to 2023. Watersheds with greater storage capacity, such as Redwood, exhibited muted hydrologic responses, including delayed flow activation, lower peak flows, slower recession rates, …

A Methodology To Reconstruct The Extent And Dynamics Of Historic Wildfires (1850-1950) In The Santa Cruz Mountains Of California, David Vásquez Ospina

Master's Theses

This thesis reconstructs the extent and dynamics of historic wildfires in the Santa Cruz Mountains of California between 1850 and 1950 using qualitative archival evidence from historical newspapers, maps, and related documents. A systematically coded database of 225 reports, consolidated into 155 unique wildfire events, was developed to analyze temporal and spatial patterns, ignition sources, vegetation types, suppression strategies, and impacts on communities and infrastructure. Historical rainfall records from the Boulder Creek station were integrated using water-year totals, three-year rolling averages, and standardized precipitation indices to examine how multi-year dryness relates to fire occurrence and size. Linear regressions show only …

Building A Data-Driven Security Ai Framework Using Machine Learning Models, Christopher Chan Vi

Master's Theses

This research project explores a modern approach to Intrusion Detection System (IDS) anomaly detection by leveraging Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLM), and Explainable AI (XAI). The purpose is to assess the effectiveness of these technologies in enhancing the understanding of intrusion events. This research study addresses the challenges of threshold determination and the interpretability of anomaly detection results. The proposed solution involves an LLM-based framework with XAI capabilities, integrated with a Retrieval Augmented Generation (RAG) architecture, to provide clear explanations for detected anomalies, utilizing both custom and pre-trained datasets. The study navigated inherent challenges, including …

Fully Integrated Slippage Detection System For Lower Limb Amputees, Christopher E. Miglio

Master's Theses

Lower limb amputees face significant challenges in maintaining a proper prosthetic fit, as improper fit can lead to slippage at the limb-socket interface, resulting in discomfort, pressure sores, and long-term musculoskeletal complications. To address this issue, a fully integrated slippage detection system was developed to monitor an amputee’s daily activities and slippage occurrences to understand their prosthetic fit over time. The system consists of a prosthetic sock embedded with Interlink 406 flexible piezoresistive force-sensing resistors (FSRs). The sock, worn directly on the residual limb, continuously measures pressure at the limb-socket interface. Sensor data from six FSRs is sampled at approximately …

A Novel Microfluidic Device For Preclinical Testing Of Chemotherapeutics, Kaija Saleh Ogan

Master's Theses

This work demonstrates the feasibility of a novel microfluidic tumor model that reproduces physiologically relevant nutrient gradients and endothelium–tumor interactions, validating its potential as a preclinical test platform. Finite element simulations of glutamine diffusion and fluid dynamics aligned with experimental tracer studies, and co-cultures supported directed endothelial migration toward tumor spheroids, confirming the device’s ability to mimic in vivo–like behavior.

Current preclinical models often fail to capture the complexity of the tumor microenvironment (TME), limiting their predictive value for therapeutic testing. Nutrient availability and angiogenic signaling are critical drivers of tumor progression, yet they are poorly represented in traditional …

Muscle Impulse Transducer: Research, Pre-Pilot Experiments, And The Design Of A Pilot Study For Quadriplegic Spinal Cord Injured Subjects For The Development Of A Novel Device, Marta Oreglia

Master's Theses

Paralysis due to spinal cord injury is a challenging condition that affects millions of people around the world. The Muscle Impulse Transducer (MIT) is a novel, wearable device that can be used to improve grip strength in the hand by using functional muscle impulses as a trigger for stimulus delivery to weakened or paralyzed nerves, to induce contraction of a paralyzed or paretic muscle. The MIT is still in development, with proof of concept [1], and functional prototypes [2] achieved. In this thesis, research was conducted on the best methods for functional electrical stimulation, EMG data collection, and nerve stimulus …

Self-Efficacy In Juvenile Probation Officers: An Examination Of Training, Eva K. Ott Hill

Master's Theses

The role of juvenile probation officers (JPO) has significantly changed in the past two decades. Rather than a focus on compliance, juvenile probation officers are tasked with using evidence-based practices focused on rehabilitation. Training is a key tool as it equips juvenile probation officers with the skills they need to implement new evidence-based practices and programs. Juvenile probation officers’ confidence in their ability to complete their changing job tasks should increase when they receive training. The current study examines how training impacts perceived self-efficacy among juvenile probation officers in Connecticut. The study seeks to understand what aspects of training impact …

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 …

Forecasting Floral Demand To Reduce Operational Cost And Optimize Production, Mackenzi Saleh Mehlberg-Smith

Master's Theses

The floral industry faces rising operational costs, increasingly strict environmental regulations, and high market volatility, all of which threaten the sustainability of flower production. Accurate demand forecasting and production planning are therefore critical to minimize waste and reduce costs while maintaining competitiveness.

This thesis develops mathematical models for optimization, forecasting, and production planning in the floral industry, extending recent work on production planning and trapezoidal demand modeling. We integrate time-series forecasting methods with optimization techniques from production planning and operations research to model both short-term demand fluctuations and medium-term capacity constraints. The mathematical framework links linear and nonlinear optimization, time-series …

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 …

Birds In Changing Landscapes: Community Diversity And Breeding Phenology, Lindsay Peria

Master's Theses

Humans are altering the environment in varied and widespread ways. Increasing urban and agricultural development causes changes to habitat and resource availability as well as changes to the sensory environment via light and noise pollution. Climate change also causes more extreme temperature anomalies, storms, and droughts that challenge birds in a multitude of ways. In this thesis, we assessed these impacts of these changes on a local and continental scale. In the first chapter, we assessed the impact of natural, anthropic, and structural characteristics of viticultural land on both taxonomic and structural avian diversity. Loss of habitat from agriculture is …

Associations Between Feed Efficiency And Feeding Behavior In Yearling Angus Bulls In A Competitive Environment, Amelia Katz

Master's Theses

Feed efficiency in beef cattle is a complex trait shaped by physiological, behavioral, and social factors that influence how animals access and utilize feed resources. This study examined feed efficiency classification and how it is influenced by feeding behavior, competitive interactions, and bunk approach patterns in yearling Angus bulls housed in a drylot over two years. Bulls were grouped into high and low feed efficiency categories using residual feed intake and feed conversion ratio within pen and year (n = 40 per year; n = 40 per treatment). Continuous electronic monitoring quantified feeder visitation, feeding duration, intake, and rate. A …

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 …

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 …

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 …

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 …

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 …

Evaluating Watershed Characteristics And Land Use Patterns To Optimize Bioswale Performance In New Haven, Connecticut, Shruthika Deva

Master's Theses

Bioswales are a major component of New Haven’s green infrastructure network, designed to intercept roadway runoff and promote infiltration. Their hydrologic performance, however, varies widely due to differences in watershed loading, surrounding land use, vegetation condition, and sediment accumulation at inlets. Understanding these sources of variability is essential for improving maintenance strategies and guiding future bioswale placement. This study evaluates the hydrologic behavior of 281 roadside bioswales using field-measured infiltration rates, GIS-based watershed delineation, parcel-level land-use classification, vegetation assessments, and inlet-outlet comparisons. Contributing drainage areas were delineated from a 2-ft LiDAR derived Digital Elevation Model, land-use context was assigned using …