Digital Commons Network^™

Structured Dynamic Factor Analysis Of Environmental Time Series With Application To Morro Bay Estuary, Jose Garcia

Master's Theses

This thesis develops a structured dynamic factor analysis (sDFA) framework for decomposing multivariate environmental time series into latent biological and physical components. The methodology is applied to five years of high-resolution passive monitoring data collected from two sites in Morro Bay, California from 2020 through 2024. Relative contribution indices are developed based on the structured DFA that measure how much each latent process contributes to each observed variable at any given time. Structured DFA models fit to the application data suggest site-specific patterns in how biological and physical processes affect water quality variables. At the bay mouth location, physical processes …

A2s Uplink Latency Minimization For Wildfire Monitoring Systems Using Mbse And Stochastic Modeling, Luis Giovanni Wang

Master's Theses

Wildfire response depends on how quickly a detection reaches the people who act on it, and the slowest remaining step is often the link that carries an alert from a remote sensing platform to a satellite. This thesis models the latency of that link, the Air-to-Space uplink, for a wildfire-monitoring UAV that carries a Starlink terminal and sends an ALERT packet to a serving Low Earth Orbit satellite. The uplink is difficult to predict because both the UAV and the satellite move, and because the wildfire environment degrades the channel at the moment the data matters most.

The thesis uses …

Evaluating The Cost-Benefit Tradeoffs Of Simt Control Mechanisms In Resource-Constrained Gpus, Nikolas Tambornini

Master's Theses

This thesis conducts a hardware-level analysis of the cost–benefit tradeoffs associated with increasingly complex SIMT control mechanisms in a resource-constrained GPU core. Four design implementations are evaluated: a Base Tiny GPU without warp scheduling capability; a Warp Scheduler using round-robin warp selection; a Branch Divergence implementation incorporating a dedicated divergence stack and post-dominator reconvergence mechanism; and a Dynamic Warp Allocation implementation that replaces the static warp structure with a runtime warp manager, regrouping threads by current program counter to recover SIMD lane utilization during active divergence. Each design is evaluated using two complementary measurements: functional simulation implemented using the CocoTB …

Multimodal Machine Learning For Soil Burn Severity Mapping Across California Wildfires, Sanjana Checker

Master's Theses

Accurate mapping of soil burn severity (SBS) is critical for post-fire watershed management, erosion risk assessment, and ecological recovery planning, yet traditional field-based approaches remain costly, time-intensive, and spatially limited. This thesis presents a machine learning pipeline for wall-to-wall SBS classification across California wildfires using multi-sensor satellite imagery, terrain derivatives, and bioclimatic covariates. Field-collected SBS observations (n = 2,180) from 52 wildfires occur- ring between 2013 and 2025, sourced from the U.S. Forest Service and CAL FIRE, were used to train and evaluate multiple classification architectures within a Google Earth Engine and Google Cloud-based prediction framework. After upsampling the unburned …

Hidden Behind Happiness: Bhutan’S Global Image And Ethnic Exclusion, Deepesh Das Shrestha

Master's Theses

Bhutan has gained international recognition for its philosophy of Gross National Happiness (GNH), which promotes holistic development through principles of well-being, environmental sustainability, cultural preservation, and good governance. Yet this celebrated image conceals a darker history: the systematic expulsion of the Lhotsampa, the Nepali-speaking ethnic minority of southern Bhutan. This study critically explores the contradiction between Bhutan's international image as a model of happiness and the lived experiences of Lhotsampa refugees who were displaced during the early 1990s.

Using a qualitative phenomenological research design, the study draws upon in-depth semi-structured interviews with six resettled Bhutanese Lhotsampa refugees living in the …

A Stadium In Our Backyard: Community Participation In Stadia Redevelopment Projects, Sofia Zazueta

Master's Theses

The Santiago Bernabeu in Madrid, Spain and the Chase Center in San Francisco, California are two stadium redevelopment projects that exemplify the stakeholder dynamics that come into play when developers pitch a multipurpose stadium located a few blocks away from people’s backyards. Urban development patterns must be in constant evolution to meet the needs and demands of the current generations. In cities, stadia redevelopment projects have entered the picture to reimagine the role that these structures once played. The stadium once used for the sole purpose of holding matches has become a venue that now hosts different events such as …

Middle Management Diplomacy: An Examination Of Us Foreign Policy Analysis In Middle-Echelon Diplomatic Professionals, Isaac R. Silvino

Master's Theses

This study analyzes the role which managerial level U.S. military Foreign Area Officers and Foreign Service Officers play in shaping and implementing U.S. foreign policy. By analyzing the individual professional at the middle-echelons of an organizational hierarchy, we make an effort in dispelling ourselves from obscured perceptions of IR centered on character and state idealization driven narratives. Doing this may help bridge the foundational gap between academics and practitioners while shifting towards a paradigm of IR analysis focusing on human agency and decisions.

Result

Individual managerial echelon diplomats do not directly make policy, but rather play a crucial role in …

Spatial Analysis Of Maize Yields And Household Dietary Diversity In Sub-Saharan Africa: Causal Evidence From A Machine Learning Instrument, Addi Joof

Master's Theses

MAIZE YIELDS AND HOUSEHOLD DIETARY DIVERSITY IN SUB-SAHARAN AFRICA: EVIDENCE ON THE CAUSAL EFFECT FROM A MACHINE LEARNING INSTRUMENT

Addi Joof, University of San Francisco, May 2026

This paper provides estimates of the effect of maize yield on household dietary diversity across seven Sub-Saharan African countries, using data from 36,474 maize-growing households in the Living Standards Measurement Study Integrated Surveys on Agriculture (LSMS-ISA) panels for the period 2008--2021. OLS estimates which include district and country-by-wave fixed effects yield a positive and significant coefficient of 0.070 (SE = 0.006, p < 0.001), implying that a 10 percent increase in maize yield raises the Household Dietary Diversity Score (HDDS) by approximately 0.007 food groups. Because self-reported yields are subject to classical measurement error and unobserved household characteristics confound the OLS estimate, we construct an instrumental variable using a Random Forest model trained on satellite-derived agro-environmental features including the Enhanced Vegetation Index, Normalized Difference Vegetation Index, Growing Degree Days, precipitation, and soil moisture obtained from Google Earth Engine at the GPS-coordinate-by-year level. Our preferred 2SLS specification, which adds region fixed effects to absorb persistent sub-national geographic variation, returns a positive point estimate of 0.217 (SE = 0.206; 95% CI: -0.19 to +0.63, p = 0.294) larger than OLS and consistent with downward attenuation bias, but imprecisely estimated and statistically indistinguishable from zero at conventional levels. We interpret the OLS estimate of 0.070 as a credible lower bound on the true effect, with the IV evidence pointing to a moderately larger but uncertain magnitude. Heterogeneity analysis reveals a declining gradient across consumption quintiles the effect is strongest among the poorest households (Q1: 0.055, p < 0.01) and diminishes with wealth (Q5: 0.015, not significant) while showing no gradient across market-integration levels. These patterns are consistent with own-consumption, rather than market income from surplus sales, as the primary pathway from yield to dietary diversity. OLS estimates are positive and significant in five of six estimable countries. The findings suggest that maize yield improvements can serve as a nutrition co-investment, particularly for subsistence-oriented smallholders, though the available data do not permit a sharp causal quantification of the effect size.

Keywords: dietary diversity, maize yields, instrumental variables, Sub-Saharan Africa, LSMS-ISA, satellite …

The Feather Of The Quill: How Folklore Shapes Human Relationships With Wildlife, Taylor Breeanne Nelson

Master's Theses

This thesis examines how folklore and cultural phenomena shape human relationships with wildlife, arguing that the stories a society tells about animals are not merely reflective of its values but are constitutive of them. Drawing on narrative research methods sourced from literature and academic journals and interviews with academics, conservationists, and community members, this project examines the role of animal folklore.

I discuss how narratives around wildlife evolved alongside the development of the United States, arguing that the beginnings of mainstream American conservation not only displaced existing communities but also erased the sophisticated human-animal relationships their traditions had long sustained. …

Herd Conditions And Food Security: Evidence From Kenya, Kira J. Enriquez

Master's Theses

Food insecurity is worsening across Kenya's Arid and Semi-Arid Lands, where over three million people currently face acute hunger. Among pastoral communities in these regions, livestock are the central productive asset and primary food source. When herds deteriorate, households face falling milk production and the erosion of assets that would otherwise buffer consumption during difficult periods. This paper tests whether livestock body condition and rangeland forage quality predict household food coping behavior, and whether those relationships differ above and below a Micawber-style herd size threshold. Using a panel of 232 pastoralist households surveyed across five ASAL counties between 2021 and …

The Effects Of War Exposure On Psychological Well-Being And Social Preferences, Jacinta B. Duncan

Master's Theses

Using original survey and experimental data collected in Ukraine in 2023 and 2024, this paper estimates the causal impact of exposure to war-related violence on psychological outcomes, social preferences, and cognitive functioning. I combine a disaggregated war experience index with two incentivized economic experiments - a modified Dictator Game and an Emotional Stroop Test - and exploit randomized variation in task order as a priming treatment to establish causal identification. I find that war exposure has clear and consistently negative effects on psychological well-being, with direct personal experience producing the largest reduction in DASS well-being (β=−0.338 SD, p < 0.01), and that these effects are broadly distributed across demographic groups - though women report disproportionately higher psychological distress even at low levels of exposure. Social support emerges as the most effective buffer against war-related psychological harm, nearly eliminating the well-being gap between high- and low-exposure individuals, while economic hardship compounds distress and drives passive coping responses. In contrast, war exposure has limited and context-specific effects on social preferences: property loss and direct exposure increase prosocial behavior, but only when sharing is costless, consistent with solidarity norms operating within binding resource constraints. Cognitive task performance is largely unaffected by war exposure or emotional priming, with education emerging as the dominant predictor of Stroop performance across all specifications. Taken together, these findings support targeted, gender-sensitive mental health interventions and community-based support programs as high-leverage instruments for mitigating the long-term human costs of conflict.

Crop Yield Shocks And Conflict In Sub-Saharan Africa: Subnational Evidence From Satellite-Based Yield Predictions, Benson I. Adomako

Master's Theses

This paper examines whether crop yields affect violent conflict at the subnational level across seven Sub-Saharan African countries: Burkina Faso, Ethiopia, Mali, Malawi, Niger, Nigeria, and Tanzania, over the period 2010 to 2024. A central identification challenge is that observed yields are endogenous to conflict: armed violence disrupts planting, cultivation, and harvest. To address this, I train a machine learning model on observed maize yield and satellite and environmental features to generate predicted yields for 1,338 second-level administrative districts annually. These predictions serve as the key regressor in a two-way fixed-effects panel with district and year fixed effects. I find …

Urban Green Space As Climate Infrastructure, Wyatt W. Del Valle

Master's Theses

This thesis estimates the causal effect of urban parks on land surface temperature in the

American Southeast using a geographic regression discontinuity at park boundaries. The

result is null. Within a CCT-optimal 257-meter bandwidth across five cities, park interiors

are not detectably cooler than the land immediately outside them:−0.023 °C, p = 0.926.

A two-way fixed effects panel across 20 cities and 39 years confirms the well-documented

NDVI–LST relationship—a 0.1-unit increase in NDVI is associated with 3.4 °C lower surface

temperature—while a park size heterogeneity model runs directly into the siting endogeneity

problem, showing why naive distance gradients cannot be …

Flowing Borders: U.S. Border Externalization In Latin America And The Los Angeles Declaration On Migration And Protection, Magdalena Olvera Hernandez

Master's Theses

In recent years, Latin America has emerged as a central transit region for extracontinental migrants originating from Africa, Asia, and the Middle East who seek to reach North America through alternative routes. This thesis examines the Los Angeles Declaration on Migration and Protection, among other regional migration governance frameworks that have reshaped migratory flows, state responsibilities, and protection outcomes in the Western Hemisphere. Focusing on the Darién Gap as a strategic chokepoint, the study analyzes the effects of coordinated migration policies, border externalization, and differentiated state roles on extracontinental mobility.

Drawing on official migration statistics from Panama, the United States, …

Paternal Investment And Labor Market Soft Skills: Evidence From The Philippines, Timothy Crane Wilkins

Master's Theses

Fathers’ involvement in their children’s lives may shape the social skills that determine labor market success, yet evidence from Southeast Asia remains limited. This study examines the relationship between paternal investment and soft skills used in the workforce. Using original survey and experimental data from more than 300 parents of young children in Metro Manila, Philippines, I analyze how their fathers’ past involvement during childhood, and current involvement as grandparents in childcare relate to dictator-game giving, interpersonal trust, and workplace relations. The results indicate that paternal investment is most statistically significant with improved workplace relations, specifically with participants’ reported ability …

Building Cultural Wealth: A Look Into The 40x40 Council’S Rise East Plan, Camille L. Batiste

Master's Theses

This research began as an effort to understand how community-based organizations in neighborhoods that have experienced generational economic disinvestment address the financial and cultural wealth gap in their communities. With the 40x40 Council and its work in East Oakland serving as the case study, it is evident how this organization mobilizes to reverse the impact of cultural erasure and wealth exclusion, helping Black residents not just live, but thrive. With an enriched understanding of how the 40x40 Council frames its approach, implements its vision, and develops its longevity, the Rise East Plan utilizes an alternative wealth-building strategy that centers community, …

Effects Of A Basketball Match On Heart Rate Variability In Collegiate Intramural Players, Unobatsha Mbaiwa

Master's Theses

Heart rate variability (HRV) is a standard non-invasive physiological marker used to asses the autonomic nervous system (ANS) function and cardiovascular adaptability. HRV reflects the natural variations in time between successive heartbeats (R-R intervals), which come as a result of the interaction between sympathetic and parasympathetic branches of the ANS (Shaffer & Ginsberg, 2017). Higher HRV compared to an individual's baseline is normally considered an indicator of greater parasympathetic (rest/digest) influence and more effective physiological recovery, whereas lower HRV relative to baseline is associated with sympathetic (fight/flight) dominance, fatigue, and increased physiological strain. Since the standardized HRV measurement criteria were …

The Undaunted: How Young Adult Activist Literature Depicts The Fight For Social Justice, Emma Stack

Master's Theses

In this thesis, I will explore a wide range of young adult fiction novels that feature themes surrounding activism. My goal will be to use a number of novels to illustrate the importance of analyzing literature that features young people as activists within social justice movements. My main overarching question is: How are young people represented as activists in young adult literature, and how can young people use such literature as a catalyst for social change? I also plan to explore questions relating to how young people are represented as activists, why their voices are so integral when promoting social …

Extracting California's Land Grant History: A Comparative Study Of Rule-Based And Llm Methods For Historical Document Processing, Anthony Colin Herrera, Anthony Colin Herrera

Master's Theses

This thesis explores methods to extract structured data from historical documents, making them more accessible for analysis and visualization. The goal is to provide historians and Digital Humanities scholars with tools that save time and reduce the manual effort required for this kind of research. We work with census records and historical texts from the Early California Population Project and Spanish Colonial census, covering California's 18th-19th century transition from Spanish and Mexican control to U.S. statehood. The system has three components: person matching across records, family tree generation, and land grant extraction. For person matching, we use a modified Levenshtein …

Lateral Thinking In Large Language Models: Benchmarking And Fine-Tuning For Puzzle Solving And Generation, Ashish Khadka

Master's Theses

Recent progress in large language models has produced reasoning-oriented systems that allocate additional computation at inference time (e.g., deliberation, verification, and self-correction), raising the question of whether these gains can solve tasks requiring creative and lateral thinking. In this thesis, we study such capabilities using two popular word-association games—LinkedIn Pinpoint and New York Times (NYT) Connections—which require identifying non-obvious patterns or relationships. We first benchmark some light-weight open models and analyze their performance trends with respect to puzzle release dates and approximate model knowledge cutoffs to distinguish memorization effects from genuine inference. Our results show that accuracy of traditional embedding-based …

Hormonal, Cytokinetic, And Skeletal Response To A Single Weighted Vest Exercise Treatment: A Pilot Study To Determine Weighted Vest “Rucking” Treatment For Osteoporosis In Post-Menopausal Women, Eleanor Pell

Master's Theses

Osteoporosis is characterized by a deteriorating of bone tissue leading to brittleness and increased fracture risk that affects both men and women as they age. Postmenopausal women are of particular interest due to high risk of declining bone density, a characteristic of this population. Treatments for osteoporosis range from menopause hormone therapy, bisphosphonates, biologics, nutritional changes, and exercise. Load bearing exercise interventions have shown effectiveness for stimulating bone growth, but many factors such as lack of access, motivation, self-confidence or knowledge, prevent long term compliance. “Weighted vest rucking” refers to a variation of rucking, which is a form of exercise …

Comparative Development Of Mof‑Based And Mof‑Free Agnp Functionalized Zno Nanorod–Cotton Fabric Composites For Photocatalytic Applications, Md Al Mamun

Master's Theses

Photocatalysis offers a cost‑effective and environmentally friendly strategy for degrading organic pollutants and addressing energy and environmental challenges. This study initially explored MOF‑based cotton‑fabric‑supported ZnO nanorod composites but found that the MOF component primarily acted as an adsorbent rather than an effective photocatalyst. Consequently, MOF‑free composites were developed by directly growing ZnO nanorods on cotton fabric and functionalizing them with silver nanoparticles. Photocatalytic testing revealed that AgNP‑modified ZnO nanorods, particularly at 10 mM AgNP, exhibited superior dye degradation efficiency, thereby demonstrating a scalable and effective photocatalytic platform.

Morphological Variation Of Lingual Glands In Wild American Alligator (Alligator Mississippiensis) Populations, Benjamin Angalet

Master's Theses

American alligators (Alligator mississippiensis) inhabit diverse aquatic ecosystems including freshwater wetlands, swamps, and estuarine rivers. As apex predators, their physiological resilience has implications for ecosystem stability and long-term conservation. With projected sea-level rise and increasing saltwater intrusion into coastal freshwater habitats, understanding the osmoregulatory capacity of alligators is increasingly important. Unlike marine-tolerant crocodilians such as the saltwater crocodile (Crocodylus porosus), which possess specialized salt-secreting lingual glands in addition to renal and cloacal mechanisms, the morphology and physiological significance of lingual glands in wild American alligators remain poorly understood. This study examined lingual gland morphology and plasma …

Effectiveness Of Quiz-Based Interventions In Virtual Reality Lectures On Learning, Mason T. Prather

Master's Theses

This thesis examined whether quiz-based interventions affect learning during an immersive virtual reality (VR) lecture and whether quiz timing strategy matters when prompts are delivered on a fixed timer or through gaze/Region of Interest (ROI)-based attention timing. The study used an eye-tracking virtual reality headset and a game engine-based classroom application. The final completed cohort included 29 participants assigned to three between-subjects conditions: No Intervention (n = 10), Timer-Based Intervention (n = 9), and Attention-Based Intervention (n = 10). All participants viewed the same virtual reality lecture and completed the same 15-item post-lecture assessment. Mean learning scores were 44.00% for …

A Novel Approach To Creativity Assessment: Forced Pairwise Ranking With Large Language Models, Phillip R. Gregory Jr

Master's Theses

Assessing creativity at scale remains a persistent challenge in cognitive science, as human raters are costly, slow, and often inconsistent in their judgments. This thesis introduced a novel framework for automated scientific creativity assessment using forced pairwise ranking, in which fine-tuned large language models compared response pairs and determined which was more creative. Five empirical studies were conducted using Llama-2-7B and Llama-2-13B models adapted via LoRA fine-tuning and benchmarked against human scored responses from the Scientific Creative Thinking Test. A regression baseline achieved Pearson �� = .74 on the test set, matching the human inter-rater ceiling reported in the literature. …

Evaluating Modern Neural Network Architectures For Suicide Prediction, Kyle Brown

Master's Theses

Suicide remains a leading cause of death among adolescents despite more access to healthcare information than ever before. Medical professionals struggle to make accurate diagnoses and catch warning signs with the overwhelming amount of data available. Machine learning algorithms, including neural networks, have previously been employed for this task, yet it remains an understudied domain.

This research aims to evaluate the capabilities of Multi-Layer Perceptron (MLP) and a selection of its successors, ResNet and MLP with a category embedding layer, at the task of predicting suicidal ideation among high-school students. This research finds ResNet to be the most capable at …

Redeveloping Mississippi: A Case Study On Brownfields In Central & Southern Mississippi, Sahrah R. Yeroozedek

Master's Theses

Brownfields, or properties that are or possibly are contaminated with dangerous materials, represent a common obstacle for communities in Mississippi. The real or potential presence of contaminants at these sites often deters investors due to costly cleanup requirements (EPA, n.d. -b). The Environmental Protection Agency (EPA), through its Brownfield Revitalization Program, implemented guidelines for covering the costs and labor associated with the remediation of these properties. The EPA is not, however, responsible for redevelopment that supports long-term environmental and economic sustainability. Although the EPA maintains inventories of all Brownfields, there is also no comprehensive database of Brownfields and their current …

A Unified Framework For Distributed And Resource-Aware Plant Disease Detection Using Federated And Adaptive Hybrid Deep Learning, Ticauris S. Stokes

Master's Theses

Plant disease detection in precision agriculture must operate under significant computational constraints, particularly in low-resource (LR) environments such as unmanned aerial vehicles (UAVs) and edge devices. While LR models enable efficient real-time inference, they often lack the representational capacity required to accurately detect complex disease patterns. In contrast, high-resource (HR) models achieve superior detection performance due to their deep architectures but are computationally expensive and unsuitable for direct deployment in resource-constrained settings. This fundamental trade-off between efficiency and accuracy presents a major challenge for practical agricultural monitoring systems.

To address the distributed nature of agricultural data, federated learning (FL) is …

Simulated Battles, Real Lessons: Analyzing The Impact Of The U.S. Navy’S Fleet Problems On Battle In The Pacific War, Jackson T. Volkert

Master's Theses

The historiography of the Pacific Theater of World War II is thorough in regard to its coverage of the war itself. The technology, doctrine, and personnel practices of both the Imperial Japanese Navy and the United States Navy are well understood by historians in the field. In addition to this, a less thorough but still healthy understanding exists as to how the belligerents in question adopted the methods and tactics they used on the battlefields of the Pacific. What currently exists in this field of study places more analytical emphasis on the cultural and strategic level impacts of the interwar …

"Ostracized As We Are With God": Mina Loy's Anti-Career And The Search For Originality, Peyton L. Phillips

Master's Theses

Among many modernist artists, Mina Loy remains one of the most complex and allusive. Recent posthumous exposure of Loy's life and work adds to this precarity. A significant piece of Loy's life that is especially complex to contemporaries is her time spent writing. By establishing Loy's subjective relationship with her Victorian upbringing, this paper seeks to show examples of its influence on her search for originality. Mainly, the paper examines Loy's concept of originality, where that concept may have come from, and how it is reflected in her literature. The paper analyzes three of Loy's literary works, her poems "Virgins …