Digital Commons Network^™

What Complexity Costs: Growth, Productive Capability, And The Vulnerability Of Interconnectedness, Pete Mcniff

Master's Theses

Growth depends on the sophistication of what an economy can produce, but economies that have specialized more deeply depend on the market access that sustains it. I test whether this dependence makes complex economies more vulnerable when access is disrupted, computing the Economic Complexity Index (ECI) from firm-level records in the U.S. Census of Manufactures (1850--1880) and using the Panic of 1873 as a natural experiment to measure county-level market access shocks from railroad bond defaults following Dutta (2024) and Donaldson and Hornbeck (2016). ECI predicts production and employment growth across all three decade windows, with the association strengthening as …

Adaptive Reuse As Sustainability: Reconciling The Crises Of Functionalism And Environmental Conservation In Copenhagen And San Francisco, Samuel J. Fernandez

Master's Theses

Sustainability is the buzzword for modern global development. In the age of rapidly growing populations, unsustainable building practices, and an ever-present climate crisis, there must be a reorientation in global urban development practices. While experts tend to tout one sustainable initiative as a catch-all solution to the above crises, a multidimensional problem cannot be solved with a one-dimensional approach. In other words, sustainable development can only be achieved through a combination of different practices and approaches. This case study seeks to present adaptive reuse as a viable reaction to the climate crisis, but one that requires a combination of other …

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 …

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 …

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 …

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 …

Examining The Ligands, Location, And Function Of Toll-Like Receptor 10, Kiefer Keanu Tam

Master's Theses

Toll-like receptors are a class of innate immune pattern recognition receptors that detect pathogen-associated molecular patterns and regulate downstream inflammatory responses. Toll-like receptor 10 remains the only human TLR whose ligand specificity, cellular localization, and immunological function are not fully defined. Emerging evidence suggests that TLR10 may play an anti-inflammatory role and can heterodimerize with TLR2 to modulate immune signaling. Previous studies from our laboratory demonstrated that stimulation with heat-killed Mycobacterium tuberculosis promotes TLR2-TLR10 heterodimerization and trafficking to the cell surface. In this study, we expanded our ligand panel to include additional gram-positive bacteria, particularly anti-inflammatory probiotic species, to further …

Meeting Their Needs: Experiences Of Uc Berkeley International Graduate Students Navigating Financial Strain, Ryann M. Hirt

Master's Theses

Of prior research on student experiences with financial strain, little has specifically focused on international student experiences in higher education while studying in the U.S., in tandem with financial strain. This qualitative study, through utilization of narrative methodology, explores the ways in which international students–in particular, graduate students–experience and navigate financial strain during their studies at a large, R1: Doctoral university: the University of California, Berkeley. The research was guided by three questions: (a) What are UC Berkeley international students’ stories of navigating financial strain? (b) What are the experiences of UC Berkeley international students with external and internal (campus) …

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, …

Vietnamese American Anti-Imperialism: South Vietnamese History And Analysis Of Publications Pre-1975, Jeannie Nguyen

Master's Theses

During the Vietnam War, citizens contested US imperialism at multiple levels. In South Vietnam, citizens published newspapers and magazines to challenge their government and expose the depth of US aggression in South Vietnamese society and culture. Inside the imperial core, Black, Chicano, and Asian American activists formed solidarities to resist the war and challenge racial inequality. At the intersection of imperialism inside and outside its borders, lies a group of South Vietnamese students and scholars who became American, migrating during the war via state-structured projects. However, in response to the heightening of war and drawing inspiration from their ‘Third World’ …

Design And Reliability Analysis Of A Radiation-Tolerant On-Board Computer System For Martian Surface Missions, Jack Ryan

Master's Theses

Space environments present complex challenges for electronic devices, perhaps most notably in the form of radiation effects; the natural protections provided by Earth’s atmosphere and magnetosphere are largely absent in deep space and extraterrestrial environments, making single-event effects (SEE) a critical concern. Although radiation-hardened components offer near-immunity to SEE, they possess tremendous drawbacks in both cost and performance. To circumvent such issues, this thesis investigates the feasibility of leveraging a commercial-off-the-shelf (COTS) device, the AMD KRIA K24 system-on-module (SOM), for use in Martian surface missions.

Detailed models were used to predict SEE rates in the system, and system-level fault tree …

Humor And The Politics Of Belonging: Race, Gender, And Radicalization In Online Spaces, Reese Chatman

Master's Theses

This thesis argues that post-ironic and meta-ironic humor acts as an affective gateway to far-right radicalization within online masculine subcultures. Examining incel forums and Groyper spaces, it traces how humor operates as the architecture through which extremist ideology is introduced, normalized, and internalized. Drawing on a synthesis of meme studies, digital rhetoric, and theories of irony and affect, and using digital ethnography and critical discourse analysis, the study examines recurring meme figures, especially the Wojak and its NPC variant, as portable diagnostic devices that sort participants into the "awake" and the unconscious regardless of ideological content. Case studies include incel …

Culturally Inclusive Usability Engineering (Ciue): A Framework For Evaluating Cultural Inclusion In Study Abroad Platforms, Louis Muhammad

Master's Theses

Study abroad programs provide students with opportunities to develop global com- petence and intercultural understanding. However, the digital platforms that support these programs often fail to communicate information that reflects the cultural and faith-based needs of diverse student populations. While prior research in Human-Computer Interac- tion (HCI) and usability engineering has explored cross-cultural and accessible design, cultural and religious considerations are rarely integrated into usability engineering pro- cesses. This thesis introduces the Culturally Inclusive Usability Engineering (CIUE) frame- work, which extends traditional usability engineering by integrating culturally informed con- siderations into the system development lifecycle. CIUE begins by identifying the …

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 …

Programmable Degradation Of Polyethylene Via Amide-Functionalization: A Dual-Path Strategy Combining Palladium-Catalyzed Copolymerization And Enhanced Microbial Breakdown, Safi-Dapetel Balkissou Wouna

Master's Theses

Polyethylene (PE) is one of the most widely used polymers due to its durability, low cost, and chemical stability; however, these same properties contribute to its persistence in the environment. It takes about 1000 years for PE to be degraded by microbes in nature. This study investigates a molecular design strategy to enhance the biodegradability of PE by introducing polar functional groups into its backbone through palladium-catalyzed copolymerization with a Vince lactam-derived comonomer. This strategy was inspired by our previous observation that PHEVD (poly[7-(2-hydroxyethyl)-2,4-divinyl-3-oxa-7-azabicyclo[3.3.0]octane-6,8-dione]), a newly synthesized petroleum derived polymer that is rich of amide group, can be near-completely degraded …

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 …

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 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 …

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 …

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 …

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. …

Assessment Of Mississippi Landfill Capacity In Relation To Waste Generation And Land-Use Constraints, Jason C. Anderson

Master's Theses

Municipal solid waste (MSW) management presents a growing challenge in Mississippi as population trends, socioeconomic change and regional development continue to place pressure on existing landfill capacity. This thesis examines waste generation and disposal patterns from 2000 through 2022 across Mississippi counties, with projections extending to 2050. Historical landfill tonnage data was gathered and compiled from the Mississippi Department of Environmental Quality (MDEQ) and analyzed using regression models in Excel and RStudio, with forecasts generated for both in-state and out-of-state waste flow. Results highlight significant variations among landfills, including differing closure timelines, changing county service areas and notable shifts in …

Quantifying Discard Mortality Of Undersized And Ovigerous Crabs In The Gulf Of Mexico Blue Crab Fishery, Micayla Cochran

Master's Theses

Blue crabs support a valuable commercial fishery in the Gulf of Mexico. Most states require the release of undersized and ovigerous blue crabs, yet mortality of these discarded crabs is an understudied component of total mortality. The first objective of this project was to quantify discard mortality of non-target crabs using bycatch surveys across the Lake Pontchartrain–Mississippi Sound coastal system. Ovigerous crabs were most common at high salinities and temperatures, whereas undersized crab presence was inversely correlated with soak time, temperature, and the number of crabs per trap, and also varied among geographic locations. A reflex action mortality prediction assessment …

Modeling The Effects Of Low-Pressure Atmospheric Fronts On Sediment Transport Through Mississippi Sound Barrier Island Inlets, Nicholas J. Gagliano

Master's Theses

Coastal sediment dynamics in the Mississippi Sound are strongly influenced by tropical cyclones and the more frequent passage of low-pressure atmospheric fronts. While hurricanes are well recognized for reshaping barrier islands and altering sediment budgets, the cumulative role of recurrent fronts remains poorly quantified. This thesis investigates the impacts of six low-pressure atmospheric fronts (2015–2017) on sediment flux through six barrier island inlets in the Mississippi Sound.

A high-resolution application of the Regional Ocean Modeling System with the Community Sediment Transport Modeling System was developed to simulate tidal circulation, wind-driven currents, and sediment dynamics. Waves were excluded from the simulations. …

An Investigation Of Data Granularity In Rag Pipelines For Personalized Medicine, Paritosh Pandey

Master's Theses

Generative AI, exemplified by large language models like the OpenAI GPT and Meta LLaMA families, can produce diverse content in response to prompts. This capability offers a promising solution to challenges in precision medicine, which seeks to tailor treatments to individual clinical profiles but often struggles with data collection, cost, and privacy concerns. By generating realistic, privacy-preserving patient data, generative AI has the potential to transform patient-centric healthcare. With such motivation, this research develops a comprehensive Generative AI pipeline emphasizing data granularity for accurate prediction of personalized treatments. The pipeline features a central Large Language Model interacting with a Machine …

Simulation Of A Buried Hydrogen Pipeline In Kansas State Soil, Sidney Hines

Master's Theses

Underground pipelines can be used to transport large amounts of pressurized hydrogen gas over several hundred kilometers. The design will be sensitive to the pipe material, diameter, and trench construction, and traffic loads above the pipe. The purpose of this paper is to conduct various geotechnical engineering analyses (seepage, stress, and slope stability) using the software program GeoStudio (version 2025.2.0) on a buried steel or FRP pipe section in a specific soil type, Harney Soil. Harney soil is of particular interest, because it is the Kansas State Soil and the analysis is for a buried gas pipe to run through …

Agentcite: Trustworthy Ai Agents For Information Verification Across Referenced Documents, Eymen Yigit

Master's Theses

This thesis presents AgentCite, a multi-agent framework for automated verification of referenced numerical data in research documents. The framework employs a hybrid design in which LLM-based agents handle document understanding and evidence retrieval, while deterministic components manage structured parsing and value comparison, improving consistency and reproducibility while reducing token consumption and execution time compared to fully agentic approaches.

AgentCite consists of three autonomous agents: a Negotiator, a Main Document Agent, and a Source Documents Agent, coordinated through a fixed tool-call pipeline. The Negotiator orchestrates verification by extracting tabular data from the main document, retrieving evidence from per-source vector stores, and …

Probing Representational Emergence In Large Language Models, Shawn Ismail

Master's Theses

This thesis investigates whether abrupt behavioral gains in large language models under scaling are accompanied by systematic changes in internal representations. It combines a behavioral screen of 65 tasks per family with targeted layerwise probing across eight decoder-only, open-weight model families. Behavioral emergence is defined for each family-task trajectory using an empirical jump detector, with segmented regression retained only as a diagnostic. The representational follow-up analyzes 27 selected MMLU subtasks shared across all families, spanning 37 checkpoints and 216 family-task units.

For each follow-up checkpoint, frozen linear probes are trained on every layer's hidden states to measure how much task-relevant …

Ai-Enabled Autonomous Visual Navigation In Complex And Data-Constrained Agricultural Environments By Leveraging Image Augmentation And Translation Methods, Robel Mamo

Master's Theses

The field of agricultural robotics remains one of the most underexplored domains within the broader robotics community. As a result, there is a scarcity of robust, scalable, and adaptable robotic systems capable of operating under the highly variable conditions of real-world farms. Visual navigation is essential for field autonomy, yet state-of-the-art perception models rely heavily on large annotated datasets and consistent environmental conditions. This thesis addresses these limitations by proposing two novel frameworks to enhance model robustness against structural occlusions, environmental variability, and low-visibility conditions under nighttime settings. First, I introduce Crop-Aligned Cutout (CA-Cut), a spatially guided augmentation method that …