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The Seeds Of Empire: Endogenous Influences On The Politics Of Bakumatsu And Meiji Era Japan (1853-1912), Benedict M.D. Talley

History ETDs

In this thesis, I argue the roots of Japanese nationalism, exceptionalism, and imperialism long preceded renewed contact with the West following American Commodore Matthew Perry’s historic 1853 expedition. Rather, late Edo Period (1603-1868) and Meiji Era (1868-1912) intellectuals and political figures looked to and were inspired by endogenous forces, ideologies, and intellectual movements of the Edo Period. Through a synthesis of secondary scholarship and analysis of Bakufu and Meiji Era figures’ writing, I seek to uncover the endogenous influences and de-emphasize western influence on the development of late nineteenth and early twentieth century Japanese nationalism and imperialism.

La Raza In The U.S.-Mexico Borderlands: A Comparative Regional Study Of Mexican American Elite Identity-Making From Texan Independence To The Mexican Revolution, Davis Diego Massey

History ETDs

After the U.S. annexed much of Mexico following the Mexican-American War, Mexicans in  the incorporated regions began to think of themselves as a racial group within the U.S. rather  than a distinctive nationality. The 1848 Treaty of Guadalupe Hidalgo promised citizenship  rights to all Mexicans in the area. The Treaty promises rarely were put into practice, as they  were left up to the enforcement of territories and states. Even where enforced, the rights of  citizenship were restricted and defined on the basis of race. Local laws excluded  Afro-Mexicans and Mexican Natives from exercising the rights promised by the Treaty. This …

La Raza In The U.S.-Mexico Borderlands: A Comparative Regional Study Of Mexican American Elite Identity-Making From Texan Independence To The Mexican Revolution, Davis Diego Massey

History ETDs

After the U.S. annexed much of Mexico following the Mexican-American War, Mexicans in the incorporated regions began to think of themselves as a racial group within the U.S. rather than a distinctive nationality. The 1848 Treaty of Guadalupe Hidalgo promised citizenship rights to all Mexicans in the area. The Treaty promises rarely were put into practice, as they were left up to the enforcement of territories and states. Even where enforced, the rights of citizenship were restricted and defined on the basis of race. Local laws excluded Afro-Mexicans and Mexican Natives from exercising the rights promised by the Treaty. This …

Technical Advancements In Single-Molecule Spectroscopy For High-Throughput Measurement Of Long-Time Dynamics, Quyen B. Le

Chemical and Biological Engineering ETDs

Single-molecule fluorescence spectroscopy is a powerful technique for resolving transient biomolecular dynamics and quantifying free energy landscapes, kinetics, and binding interactions. However, two fundamental limitations restrict its broader application: slow, labor-intensive data acquisition and the limited observation time imposed by fluorophore photobleaching. These limitations hinder its use in drug discovery and biomedical engineering applications that require both high-throughput and access to long-time dynamics. In this work, both challenges are addressed through technical advancements. First, a simple, generalizable approach is introduced to automate data acquisition, eliminating manual intervention during experiments. This increases the acquisition rate by more than an order of …

Nuclear Deterrence: Enhancing The Mission Through Smart Factory Predictive Solutions, Jarrod Matthew Ronquillo

Chemical and Biological Engineering ETDs

To meet the stewardship and modernization initiatives set by the Department of Energy new technologies must enter the manufacturing facilities within the nuclear deterrent complex. Predictive solutions begin with collecting data. An equipment health monitoring device was created to streamline data collection and organization for equipment and processes. A predictive and process performance dashboard was developed for a deionized water system. The dashboard used Western Electric statistical process rules and a machine learning regression algorithm to predict when the resistivity would fall out of specification. Lastly, a remaining useful life calculation was developed for all equipment related to nuclear deterrent …

The Effect Of Acute Hypoxia Exposure, With Exercise, On Bone Metabolic Biomarkers, Alyssa Bailly

Health, Exercise, and Sports Sciences ETDs

Hypoxic environments, resulting from decreased atmospheric partial pressure of oxygen, reduce oxygen availability in the blood and tissues, leading to a mismatch between supply and demand. This elicits several physiological adaptations and may influence bone metabolism. Although evidence suggests that hypoxia can modulate bone remodeling through hypoxia-inducible pathways, findings remain mixed, with most data derived from chronic hypoxic exposures in animal and cell culture models. Exercise, an essential stimulus for bone health, may exacerbate hypoxic stress; however, the skeletal response to acute hypoxic exposure combined with exercise remains unclear. We propose that intermittent exercise in hypoxia may increase negative markers …

Empowering Pedagogical Practice Through Autoethnography Within The Context Of Family Literacy Projects, Sarah M. Johnson

Language, Literacy, and Sociocultural Studies ETDs

Family Literacy Projects being used in the high school setting to promote cultural and linguistic identities. The Family Literacy Project is used to bridge the gap between student identities at school and the identities at home. The purpose of this study was for the teacher to reflect in an autoethnographic study of herself in relation to the context of community, pedagogy, and the perceived needs and changes of the project for both students and the school’s culture. Through the autoethnographic study, the focus of the Family Literacy Project is in its importance to the school, community, students, and teachers was …

Benefits Of Advisory & Culturally Responsive Advisory Framework (Craf) Within A Southwestern, Urban, Dual Language Middle School, Mariana Anguelova Castañon

Language, Literacy, and Sociocultural Studies ETDs

In this research report, I examine the benefits of a daily Advisory period at a southwestern, urban, dual-language middle school and explore the impact of the Culturally Responsive Advisory Framework (CRAF), a curriculum I developed as a researcher-practitioner. This work is situated within research on Advisory programs, urban schooling, and dual-language education, while addressing implementation challenges. Grounded in democratic learning theory, CRAF integrates social-emotional learning (SEL), social-cultural learning (SCL), and literacy. To evaluate its impact, I collected qualitative data through anonymous Google Surveys and semi-structured student interviews, supported by quantitative teacher and student surveys. Data were analyzed using open and …

Helium Effects In High Entropy Alloys For Fusion Reactor Plasma Facing Components, Shane Evans

Nuclear Engineering ETDs

The plasma facing materials (PFMs) within fusion reactors, such as the divertor, must be able to withstand high temperature (>1000 K) for extended durations of time, in addition to extreme flux from neutrons, helium (He) ash, and neutral species such as deuterium and tritium. These materials must withstand these conditions while maintaining their selected mechanical properties, minimal sputter yield, and low fuel retention. In recent years refractory high entropy alloys (RHEAs) have been investigated due to their improved mechanical and irradiation-resistant properties when compared to pure W, the current material for PFMs. In this work RHEAs have undergone fusion …

Cfd Simulation Analyses Of The Blowdown Phase Of A Depressurized Loss Of Forced Cooling Accident In A Htgr, Keenan Kresl-Hotz

Nuclear Engineering ETDs

This research numerically investigates the helium-air mixing in HTGR containment cavities during the blowdown phase of a simulated DLOFC accident. The results of the performed CFD simulation analyses, using the commercial code STAR-CCM+, are compared with reported measurements from an experiment conducted at CCNY. The analyses investigate the effects of the RANS and LES turbulence models, numerical mesh refinement, time-step size, and flow rate and temperature of the injected hot helium into the scaled reactor cavity. Calculated parameters analyzed include the pressure and spatial distributions of temperature and oxygen concentration in the simulated reactor and steam generator cavities. CFD oxygen …

In-Situ Measurement Of Dynamic Deuterium Retention In Tungsten-Based Alloys Under Plasma Exposure, Ethan Gabriel Rashap

Nuclear Engineering ETDs

Nuclear fusion is a promising pathway for sustainable energy production, but the performance of plasma-facing materials remains a key challenge for reactor operation. In particular, hydrogen isotope retention in tungsten—the leading candidate material for divertor components—affects tritium inventory, fuel recycling, and overall material lifetime. In this work, the temperature-dependent deuterium retention behavior of W–Ti and W–TiTa alloys was experimentally investigated under fusion-relevant ion irradiation conditions between 400 and 700 K. In-situ nuclear reaction analysis (NRA) was used to track retention during plasma exposure and subsequent cooldown, providing depth-resolved insight into deuterium accumulation and release. The results show that deuterium retention …

Novel Algorithmic Methods For Random Telegraph Noise Detection And Characterization In Electronic Devices, Victor Darie Pepel

Electrical and Computer Engineering ETDs

Random telegraph noise (RTN) produces discrete stochastic fluctuations in nanoscale semiconductor devices and increasingly limits performance and reliability as dimensions scale. This dissertation introduces three algorithmic contributions enabling automated and accurate RTN characterization across diverse devices and operating conditions. First, a computationally efficient histogram-based detection algorithm enables rapid identification of RTN in large focal plane array datasets for statistically robust defect analysis. Second, a frequency decomposition framework separates slow and fast RTN components, extending the range of extractable time constants and reducing estimation error in multi-trap signals obscured by background noise. Third, to address the lack of standardized RTN metrics, …

Applications And Comparisons Of Machine Learning Methods In Ultra-Fast Laser Control, Aasma Aslam

Electrical and Computer Engineering ETDs

This dissertation demonstrates the applications and comparative analyses of machine learning methods in ultrafast laser control. By learning the relationship between the system’s input parameters and output pulse characteristics, the performance of a laser can be significantly improved. In this work, the results are presented in two stages by utilizing data from the femtosecond laser system. The first stage concerns two neural networks, named NN1 (fitrnet) and NN2 (feedforwardnet). The second stage, which extended with five different models, namely the linear regression (fitlm), the support vector machine (SVM), the Gaussian process regression (GPR), the boosted tree (fitrensemble), and LASSO (fitrlinear), …

Shelter From The Storm: Public Library Value And Community Adaptive Capacities, Margo Gustina

Economics ETDs

This dissertation contributes to theoretical framing within the discipline of library science, while building out empirical methods for quantitatively valuing broadly loved public libraries. Chapter 1 lays the foundation for understanding how analysis public libraries must always be set within regional contexts. Chapter 2 demonstrates that positive voter valuation of public libraries is driven by proximity to a library building by using data from public funding referendum events. Chapter 3 estimates a reduction of 0.75 percentage point (p=0.002) in graduation rates where public libraries were closed (but school instruction was in-person) from COVID closures. Chapter 4 builds on the previous …

Perception, Payment, And Pollution- Examining The Effects Of Air Quality On Health And Healthcare, Colin Sleeper

Economics ETDs

Abstract

This dissertation examines how air quality and public attention to environmental shock affect perceived health status and healthcare utilization. The first chapter uses publicly available survey data from BRFSS and a triple difference framework to analyze the effects of the 2018 wildfire season in Oregon on self-reported mental and physical health. Findings indicate that those in Oregon in 2018, during the period of heightened attention to wildfire smoke, experienced approximately 1.4 additional poor mental health days, on average. The second chapter includes Merative MarketScan commercial insurance claims data to test whether these changes translate into a behavioral response. Results …

Agricultural Water Management, Farmer Decision-Making And Climate Adaptation In Dryland Agriculture: A Case Of The Middle Rio Grande Basin, Oluwatosin A. Olofinsao

Economics ETDs

Agriculture in dryland regions faces mounting pressure from climate change, water scarcity, and shifting land-use demands. The Middle Rio Grande Basin (MRGB) of central New Mexico exemplifies these challenges, where irrigated agriculture relies on increasingly variable surface water supplies. This dissertation examines agricultural water use, farmer decision-making, and adaptation strategies across farm types and climate conditions in the MRGB. The first study presents a spatial descriptive analysis of farm size, crop patterns, groundwater access, evapotranspiration (ET), and effective ET, revealing a landscape numerically dominated by smallholder farms that account for a substantial share of irrigation water use. The second study …

Marine Geophysical Studies Of Coupled Tectonic And Sedimentary Processes At Active Plate Boundaries, Sarah R. Rysanek

Earth and Planetary Sciences ETDs

Deep-sea and convergent margin sedimentary systems preserve critical records of tectonic and climatic processes that shape Earth’s surface. This dissertation investigates source-to-sink sediment routing and forearc deformation to better constrain the interplay between sedimentary and tectonic processes, through investigations of a deep-sea fan system, and the forearc geomorphology offshore Nicaragua. In the Gulf of Alaska, we integrate ultra-long-offset and regional multi-channel seismic reflection data, multi-resolution bathymetry, and plate reconstructions to remap the Baranof Fan system. Results show that the fan is larger than previously recognized and constructed by two primary depocenters linked to distinct glacial sediment pathways, with accommodation space …

Self-Supervised Spoofing Detection, David S. Choi

Electrical and Computer Engineering ETDs

Global Navigation Satellite Systems (GNSS) are vulnerable to spoofing attacks that can mislead receivers with counterfeit signals. Traditional detection techniques, such as antenna-based, encryption based, and signal processing approaches, often face limitations in adaptability, computational cost, or reliance on predefined thresholds. Supervised machine learning models, while powerful, require large labeled datasets and struggle to generalize to unseen spoofing scenarios. In this work, we propose a self-supervised spoofing detection framework based on Adaptive Sparse Gaussian Processes (ASGP). The method predicts incoming GNSS features using past observations and identifies spoofing as anomalous deviations in the prediction residuals. Unlike supervised approaches, ASGP adapts …

Quantum Control Protocols For Robust Quantum Computing, Leeseok Kim

Electrical and Computer Engineering ETDs

The fundamental goal of quantum computing is to precisely control quantum systems to perform meaningful tasks, including implementing high-fidelity quantum gates for reliable quantum computation and accurately simulating complex quantum many- body dynamics. In this dissertation, we develop improved quantum control protocols for three distinct objectives, quantum error suppression, quantum optimal control, and analog quantum algorithms, achieving performance beyond standard approaches. First, we introduce new dynamical decoupling protocols, including both determin- istic and randomized constructions, that can substantially outperform conventional deterministic sequences. We then extend the randomized approach to dynamically corrected gates. Second, we propose a randomized quantum optimal control …

Fault Tolerant Quantum Computing With Lower Overhead, Benjamin E. Anker

Electrical and Computer Engineering ETDs

Quantum computation promises asymptotic speedups over classical algorithms, but realizing these advantages requires overcoming the noisiness of quantum hardware. Although fault-tolerant error correction can allow for reliable quantum computation even using unreliable components, the resource overheads required can substantially erode the asymptotic performance gains. This dissertation focuses on constructing and optimizing fault-tolerant procedures with lower overhead than previous methods were capable of. We present new frameworks for fault-tolerant syndrome extraction using flag gadgets with exponentially reduced ancilla requirements, explicit measurement schedules that achieve asymptotically fewer measurements than stabilizer generators, and a general method for making arbitrary Clifford circuits fault tolerant. …

Alternative Positioning, Navigation, And Timing In Global Navigation Satellite System Denied Environments, Joshua R. Atencio

Electrical and Computer Engineering ETDs

Global Navigation Satellite Systems (GNSS) provide the majority of critical positioning, navigation, and timing (PNT) services for civilian, commercial, and military applications. However, GNSS is vulnerable to service denial from spoofing and jamming from adversaries and environmental obstruction. These vulnerabilities highlight the need for resilient Alternative PNT (APNT) methods. This dissertation investigates APNT frameworks operating in GNSS denied environments. We develop coalition formation and matching theoretic models that allow users APNT services from anchor nodes under resource constraints and in adversarial or emergency conditions. The proposed frameworks optimize positioning accuracy, network utility, and system stability while accounting for geometric dilution …

Constraining Magmatic Processes In The Central American Arc Using Melt Inclusion Vapor Bubble Analysis And Triple Oxygen Isotope Modeling And Exploration Of Volatile Contributions To The Production Of Continual Radio Frequency (Crf) Lightning Events, John M. Hamilton

Earth and Planetary Sciences ETDs

Magmatic volatiles are key to determining the processes happening in the subsurface that we cannot directly sample. Advances in measuring volatile and isotope contents from erupted volcanic samples have given us the ability to understand magmatic processes, mixing components that produce the bulk magma composition and potentially precursors to eruptive hazards, such as lightning.

Through analysis of melt inclusions that sample the melt at depth and triple oxygen isotope quantification of olivine crystals from multiple volcanic edifices, the three following studies display how I have utilized these analytical techniques to help unravel processes happening in the subsurface that lead volcanic …

The Formation Of Indian Health Services Within Imperial And Settler-Colonial Contexts, Jillian E. Grisel

American Studies ETDs

This dissertation examines the Indian Health Services as a Cold War biosecurity apparatus, showing how infectious disease was weaponized to dismantle treaty obligations, reorganize tribal lands into “service areas,” and reclassify Indigenous nations as surveilled populations. Against this carceral health economy, Indigenous nations refused. From the 1969 Alcatraz occupation to the 1976 Puyallup takeover of Cushman Indian Hospital, Native activists reclaimed health facilities as sovereign spaces, insisting that care is not a discretionary service but a treaty right grounded in land and kinship. Methodologically, I combine historical-legal analysis of congressional debates, Public Health Service reports, and IHS data with counter-archives …

Impact Of Third Trimester Alcohol Exposure (Ttae) On Oligodendrocyte Development And Behavior In Mice, Estrella Villicana

Biomedical Sciences ETDs

Prenatal alcohol exposure (PAE) during late gestation can cause cognitive, behavioral, and motor impairments associated with fetal alcohol spectrum disorders (FASDs). The third trimester corresponds to a critical period of brain growth and maturation. This study examined the effects of Third Trimester-equivalent Alcohol Exposure (TTAE) on oligodendrocyte development and adult behavior. Neonatal mice were exposed to ethanol or air vapor from postnatal day (P) 4–8. Immunohistochemical analyses were performed at P8 and P30 to assess myelination, apoptosis, and oligodendrocyte lineage progression. TTAE significantly reduced myelin basic protein (MBP) expression at P8, which was recovered by P30, indicating delayed developmental myelination. …

Design And Optimization Of Epitope Based Malaria Vaccine Targeting Pre-Erythrocytic Stage, Yogesh Nepal

Biomedical Sciences ETDs

Malaria remains a major global health challenge. Currently available vaccines provide only modest and transient protection. In this work, we developed virus like particles (VLPs) based vaccine to target vulnerable epitopes of circumsporozoite protein, a key surface protein of pre-erythrocytic sporozoite stage, across different structural contexts. The immunogenicity of these highly immunogenic vaccines were further enhanced using immune stimulating agents, adjuvants, and the most promising VLP and adjuvant combinations were evaluated in preclinical challenge models to assess efficacy. In parallel, we performed research in an antigen agonistic manner using VLP library immunization that displays different fragments of a target protein …

Computational Design Of Peptides And Proteins Through Machine Learning Approaches, Emily J. Hendrix

Chemistry and Chemical Biology ETDs

Advancements in machine learning have emerged as a pivotal tool in computational biochemistry, offering new advancements to address challenges in protein structure and function. However, current machine-learning approaches offer limited insight in understanding protein dynamics. The purpose of this work is to combine traditional physics-based computational tools, such as molecular dynamics and coarse-grained simulations, with recently developed AI-driven computational tools to bridge gaps and advance the understanding of proteins in both structural and dynamic aspects. I investigated several approaches such as (i) traditional physics-based methods to study protein conformation and ensembles; (ii) identifying a peptide inhibitor for the PICK1 PDZ …

Nanoscale Structure And Spontaneous Self-Assembly Of Hydrothermal Organic Products, Glorianne P. Dorce

Chemistry and Chemical Biology ETDs

Carbon nanomaterials derived from citric acid and urea exhibit behaviors that challenge conventional structure–property models based on static bulk descriptions. This study examines how precursor pairing and reaction duration, post‑synthetic thermal history, and time‑dependent aging govern nanoscale organization and optical response. Through controlled synthesis and processing, distinct nanostructures with tunable structural and spectroscopic profiles are generated.

A multiscale framework integrating nano‑FTIR, atomic force microscopy, and thermal analysis reveals chemical heterogeneity and continuous structural reorganization across length scales. By correlating local chemical environments with optical behavior, we show that fluorescence efficiency and photostability depend on specific nanoscale architectures rather than average …

Computing Certificates Of Members In Archimedean Quadratic Modules In A[X] And Certifying The Emptiness In Inconsistent Monogenic Archimedean Quadratic Modules In A[X_1, ..., X_N], Jose A. Castellanos Joo

Computer Science ETDs

Polynomials have been found to be a powerful tool over hundreds of years for modeling problems in numerous applications in science, engineering, medicine, and other domains. In the context of formal methods, polynomials arise in modeling in aerospace software and robotics, cyber-physical and hybrid systems, autonomous vehicles and controllers based on neural networks.

A quadratic module is a linear combination of polynomials in a set of generators (including the constant 1) with sum of squares polynomials as multipliers. The membership problem for a finitely generated quadratic module can be decided; however, computing a certificate exhibiting why it is nonnegative under …

Design, Fabrication, And Characterization Of Silicon Nitride Microresonator Optical Frequency Combs, Lala Rukh

Optical Science and Engineering ETDs

Optical frequency combs consist of equidistant optical frequencies and have numerous applications ranging from optical metrology to medical diagnostics. Initially, frequency combs were based on bulky mode-locked lasers, but advancements in integrated photonics enabled the generation of frequency combs in chip-scale resonators (microcombs) using Kerr nonlinearity. These miniaturized systems present various challenges, including increased propagation losses, enhanced thermal effects, and the extension of microcombs to visible wavelengths. In this dissertation, I will focus on addressing these challenges in silicon nitride (SiN) resonators. First, this thesis focuses on the fabrication of high-Q SiN resonators and the impact of fabrication parameters on …

Unpacking The Roots Of School Vouchers: A Critical Discourse Analysis Of Its Origins And The Arizona Model, Swechha Singh

Language, Literacy, and Sociocultural Studies ETDs

Critical Race Theory (CRT) gained prominence in mainstream political discourse following President Trump issuance of Executive Order 13950, Combating Race and Sex Stereotyping, which intensified political debate surrounding CRT, diversity initiatives, and educational curricula. This study used Fairclough’s Critical Discourse Analysis to examine how ideological forces gave rise to the enactment of school vouchers. Using CRT as a theoretical lens, the study examined historical and contemporary data to explore how ideology functioned to advance an expansive education policy agenda, including Arizona’s Empowerment Scholarship Account program. This study offers evidence of the impact of the anti-CRT movement, as well as sustained …