Digital Commons Network^™

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 …

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 …

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 …

Pneumomlpred: Innovating Pneumonia Management With Guideline Adherence Review And Explainable Machine Learning-Based Mortality Prediction - A Single-Centre Retrospective Study, Kamel A. Samara, Hiba Jawdat Barqawi, Saryia Adra, Batool Aldaher, Drishti D. Kampani, Enad Haddad, Hebah Soudan, Islam Ibrahim Anwar, Mohamad Besher Adi, Omar Hamadi, Yumna Almour, Mohamed Nassef, Zaher Al Aghbari, Eman Abu-Gharbieh

Abington Jefferson Health Papers

Introduction: Community-acquired pneumonia (CAP) is one of the leading causes of death globally. Changing antibiotic resistance profiles, paucity of reliable CAP mortality prediction models, and ageing populations will increase its burden. This study aims to evaluate adherence to CAP management guidelines as well as develop an ML-based mortality prediction model.

Methods: This retrospective, chart review included all CAP cases between 2016 and 2021. Variables collected included patients' demographics, comorbidities, vitals, laboratory, imaging, and culture findings, as well as initial and targeted antibiotic regimens. Data was pre-processed and analysed in python-3. Adherence to the American thoracic society/infectious diseases society of America …

Shaping Emergent Competitive And Cooperative Behaviors In Multi-Agent General-Sum Games, Ethan F. Erickson

Honors Projects

Reinforcement learning (RL) algorithms can train agents to solve problems in environments using complex behaviors that are not explicitly programmed, known as emergent behaviors. The goal of our research is to investigate how different RL reward values influence the emergence of competitive and cooperative behaviors in games with teams of multiple agents. Specifically, we focus on general-sum games, in which the sum of gains and losses of each team may be non-zero, allowing situations for agents to mutually benefit or mutually fail. Using Unity’s ML-Agents Toolkit to train agents with RL self-play in bounded 2D environments, we identify high-level behaviors …

Musical Expression: How Do We As Composers And Performers Use The Tools Of Music In Such A Way To Realize Our Creative Endeavors And Communicate Them To Others?, Max Vance

Honors Projects

Why do we create things? This project delves into the deep, intentional processes of composition and cello performance. This paper discusses how the process is vital to the final outcome, outlines the necessary steps for composition and performance, and provides examples of work that has emerged from these processes.

Improving Health Literacy And Self-Management In Adults With Heart Failure: A Nurse-Led Virtual Intervention In Outpatient Support Groups, Vivian Efosa Osunde

Doctoral Projects

Heart failure is a leading cause of morbidity and hospital readmissions, with limited health literacy contributing to poor self‑management and adherence challenges. The purpose of this Doctor of Nursing Practice project was to evaluate the feasibility and preliminary outcomes of a nurse‑led, virtual education-intervention designed to improve health literacy, self‑care behaviors, and medication adherence among adults with chronic heart failure who participate in an outpatient support group. A quality improvement design was used. Convenience sampling yielded nine adult participants with a documented diagnosis of chronic heart failure who attended at least one virtual support group session. The intervention consisted of …

Whiny Women: How Medical Gaslighting Becomes Medical Trauma, Neena Marcus

Honors Projects

Background: The idea of “medical gaslighting” has been present since 1969, but it has increased in popularity in the recent century. Women in particular are at increased risk of being dismissed by their healthcare providers, as throughout history they have been deemed “hysterical” or untrustworthy when recounting their symptoms.

Methods: Articles were compiled from CINAHL Complete, Google Scholar, and the University of Washington library. A total of 33 articles were chosen and reviewed.

Results: Medical gaslighting results in lasting medical trauma, a decreased quality of life and detachment from standard healthcare. Six themes were recurrent in the papers utilized: sexism, …

Musical Methods For Nonverbal Emotional Expression, Carrie Uddenberg

Music: Student Scholarship & Creative Works

No abstract provided.

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 …

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 …

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 …

Brain-Based Mechanisms Of Behavioral Impairment In Fetal Alcohol Spectrum Disorder (Fasd): The Neuroimaging Biomarkers Of Inhibitory Control, Zinia Pervin

Biomedical Engineering ETDs

The developing brain is highly susceptible to alcohol-induced toxicity, often resulting in long-term deficits in executive function and behavioral regulation. Inhibitory control impairments are among the most prominent deficits observed in Fetal Alcohol Spectrum Disorder (FASD). This study investigated the neural mechanisms of inhibitory dysfunction using a multimodal MEG–DTI approach in 67 children aged 6–8 years (34 with FASD, 33 controls) who performed a Go/No-Go task. Source-level MEG analyses revealed reduced stimulus-locked cortical activation in the anterior cingulate cortex and significant group-by-hemisphere interactions in the superior parietal cortex and cuneus. Time–frequency analyses showed diminished response-locked beta power in the sensory-motor …

Policy Concerning Student Use Of Magnification Loupes By American Dental Hygiene Schools, Amye M. Burruss

Dental Hygiene ETDs

This descriptive study was to assess whether dental hygiene schools require students to purchase magnification loupes, at what point in the program they implement the use of loupes, and which type of loupes they require students to purchase. A survey link through Microsoft Forms consisting of nineteen multiple-choice questions was emailed to 327 dental hygiene program directors and was open for a total of three weeks. With a response rate of 13% (45 respondents), results indicate that most dental hygiene programs mandate or strongly encourage the use of magnification loupes and allow students to start wearing loupes in the first …

Stochastic Derivative-Free Deep Learning Methods For Solving High Dimensional Partial Differential Equations, Qing He Mr.

Mathematics Theses and Dissertations

Solving high-dimensional partial differential equations (PDEs) is a fundamental challenge in scientific computing, with applications ranging from quantum chemistry and computational finance to statistical physics and stochastic optimal control.  Classical numerical methods such as finite element or finite difference schemes suffer from the curse of dimensionality, rendering them computationally infeasible when the dimension $d$ exceeds a handful. Physics-informed neural network (PINN) methods alleviate this by embedding the PDE residual directly into a loss function, but they require computing derivatives of the network with respect to its spatial inputs---an operation that scales poorly in high dimensions and demands that the approximate …

Post-Fire Flood Modeling In Ruidoso, New Mexico: Improving Burn Scar Runoff Predictions, Pramesh Bhaila

Civil Engineering ETDs

Recent large wildfires in New Mexico have demonstrated severe hydrological driven by vegetation loss and the development of hydrophobic soil surfaces. This thesis evaluates the performance of three infiltration models—Curve Number (CN), Linear Constant (LC), and Green–Ampt (GA)— for the watershed impacted by the 2024 South Fork and Salt Fires near Ruidoso, New Mexico. All three models performed comparably during post‑fire simulations, with strong performance in 2024 and notable degradation in 2025, particularly for the CN. Post-fire analyses indicate substantial reductions in infiltration capacity, with CN increasing by 18–24%, LC initial deficit decreasing by 65–77%, effective hydraulic conductivity reduced by …

Sensitivity-Informed Resonance Parameter Cross Section Adjustments, Matthew Juan Lazaric

Nuclear Engineering ETDs

This work details the process of developing several new features into the MCNP6.3 Monte Carlo code for use in uncertainty quantification and reduction. These new capabilities, which include the CLUTCH method of calculating k-eigenvalue cross section sensitivities and the Windowed Multipole method of calculating cross sections, are implemented and verified against previous implementations and existing cross section data, respectively. These capabilities are then combined to produce sensitivities of k-eigenvalue to resonance parameters, which are verified against direct perturbation sensitivity estimates. The resonance parameters are calibrated using linear Bayesian methods and the accuracy of the resulting cross section is evaluated via …

Representativeness And Sensitivity Analysis Of Accident Tolerant Fuel Cladding Behavior In Reactivity-Initiated Accidents, Melissa Andrea Moreno

Nuclear Engineering ETDs

Accident Tolerant Fuels (ATFs) such as FeCrAl are being developed to enhance safety margins in light water reactors during transients like Reactivity Initiated Accidents (RIAs). This dissertation evaluates the accuracy and representativeness of TRACE thermal hydraulic models for predicting FeCrAl C36M cladding behavior under steady state and transient flow boiling conditions. Benchmarking against University of New Mexico separate effects experiments shows that TRACE reproduces key thermal trends but underpredicts cladding temperatures near CHF by approximately 25 to 30%. A calibrated uncertainty and global sensitivity analysis, using Sobol indices, demonstrates that CHF and cladding temperature variability are dominated by mass flux, …

From Sparse To Precise: Modeling Beam Profiles Using Wavelet-Based Implicit Neural Network (Winn) For Linear Accelerator Commissioning And Quality Assurance, Maryam Ali Albuainin

Computer Science ETDs

Commissioning and routine quality assurance (QA) in radiotherapy require extensive measurements using bulky water tank systems, making the process time-consuming and costly. This research proposes an efficient framework for radiotherapy commissioning and QA by generating complete LINAC physics data from sparse measurements and developing a portable solid-water detector with embedded diodes for high-resolution dosimetry.

At the core of the framework is a Wavelet-based Implicit Neural Network (WINN) that reconstructs full measurement datasets from limited inputs while maintaining clinical accuracy. The model achieves gamma passing rates above 95% (1%/1 mm) and mean absolute errors below 0.5%, while reducing parameters by 99.46% …

Rodríguez Pacheco Et Al. V. Venezuela, Katrina Karaguzian

Loyola of Los Angeles International and Comparative Law Review

This case is about medical malpractice and the failure of the State to provide justice to the victim. The Court found Venezuela in violation of several articles of the American Convention, including Article 26.