Digital Commons Network^™

Evaluation Of Intracavity Electromagnetic Field Probes And Sources: Implications For Shielding Effectiveness, Joseph Anthony Ferreri

Electrical and Computer Engineering ETDs

To measure the electric field in a reverberant cavity, a small, minimally invasive probe is required. Common solutions include electrically small surface mounted monopole antennas, B-dots, and D-dots. To obtain an accurate field measurement with a particular probe, it is necessary to characterize it to compensate for its ability to convert electric field into voltage which requires a gauge factor known as effective height. The characterization process is straight forward in open space on a ground plane but requires more insight when in situ in a reverberant cavity. This work adapts ground plane probe characterization methods for cavity measurements, facilitating …

Millimeter-Wave Antenna Gain Enhancement Through Stacked Planar Substrates, Zachary Bergstedt

Electrical and Computer Engineering ETDs

This work presents a new wideband millimeter-wave (mmWave) and sub-terahertz antenna design with flexible directivity through the integration of stepped horn antennas and transverse substrate integrated waveguide (SIW) slots for radar and communication applications. The work gives a theoretical and analytical basis for this filter-inspired approach to improving bandwidth and directivity, and presents design and results for a standalone stepped horn, a Ka-band antenna with a solid stepped horn and SIW feed, and W-band antennas with empty SIW feeds and stepped horns manufactured out of multiple planar layers. The realized antennas show bandwidth up to 40% and gain up to …

Statistical And Spectral Theory For Spatially Correlated Random Aperiodic Antenna Arrays, Thomas Edward Christian Jr

Electrical and Computer Engineering ETDs

Aperiodic phased arrays enable beam steering, interference suppression, and spectrum efficiency for 6G, radar, biomedical imaging, and distributed sensing. Minimum inter-element spacing and keep out zones induce spatial correlation, violating the i.i.d. element-position assumption behind classical probabilistic random array theory. This dissertation develops a unified probabilistic spectral framework for correlated (non-i.i.d.) arrays. Second moment power pattern analysis incorporates the pair-correlation function  and structure factor , recovering the i.i.d. limit when  and accommodating unequal excitations. Side lobe and main lobe fields deviate from Rayleigh/Exponential and are modeled by weighted Nakagami and Gamma-mixture distributions, parameterized via Monte Carlo. The blue noise spectral …

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), …

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, …

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 …

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. …

Calibration Methodology, Diagnostic Performance, And Redesign Of The Current Monitors On The Z Machine At Sandia National Laboratories, Stacie Hernandez

Electrical and Computer Engineering ETDs

A proper evaluation of the current diagnostics fielded in the inner-MITL region of the Z facility in 3D simulation models had not been performed until now. The evaluation of the current monitors has brought insight to their performance in a new view that has led to discoveries. The B-dot probe was the current diagnostic-of-choice since before the refurbishment of the Z facility [1] and until the development of the Inductively Driven Transmission Line (IDTL) current diagnostic [2]. Experimental data has shown that the IDTL can produce cleaner signals and it is more robust than conventional B-dots. Simulation (modeled using COMSOL …

Hierarchical Safe Reinforcement-Learning Framework For Mission-Aware, Edge-Enabled Multi-Uav Iot Networks, Abee F. Alazzwi

Electrical and Computer Engineering ETDs

This Ph.D. dissertation presents a unified Hierarchical Safe Reinforcement Learning (HSRL) framework for mission-aware, edge-enabled multi-UAV Internet of Things (IoT) networks. The work addresses the need for autonomous aerial infrastructures capable of delivering low-latency communication, scalable edge computation, and provably safe operation in dynamic environments. The dissertation develops three primary contributions. First, it formulates longhorizon drone base station placement and load balancing as a strategic actor–critic learning problem, enabling proactive adaptation to spatiotemporal demand variations. Second, it introduces a mission-aware multi-agent reinforcement learning controller for coordinated mobility, sensing, and computation offloading under latency and energy constraints. Third, it integrates a …

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 …

Rhythms Of Hippocampal Function And Memory After Moderate Prenatal Alcohol Exposure, Lilliana May Sanchez

Psychology ETDs

Fetal Alcohol Spectrum Disorders involve morphologic and neurobiological abnormalities in offspring subjected to prenatal alcohol exposure. Although not as well studied as high exposure, moderate prenatal alcohol exposure represents the most common and undetected form in humans. While learning and memory deficits have been well characterized at the behavioral level in humans with Fetal Alcohol Spectrum Disorders and in animal models of moderate prenatal alcohol exposure, few studies have determined the circuit or systems level mechanisms of the behavioral deficits. A complete understanding of the neural bases of memory deficits after moderate prenatal alcohol exposure is needed to ultimately identify …

Mapping Homogeneous Configuration States For Learning Based Motion Planners, Yazied Hasan

Computer Science ETDs

Reinforcement learning (RL) excels at solving complex tasks, but training times can become prohibitively large for challenging motion-planning problems. Methods that address this cost often require additional training or tuning, counteracting the goal of reducing training time. A more effective approach is to exploit inherent task equivalences: many elements of the state space, dynamics, or structure are functionally interchangeable, enabling simplification or knowledge reuse. We present learning solutions that leverage these equivalences to enhance the RL process. First, we leverage the symmetry of homogeneous multi-agent teams to simplify the task to a single strategy. Second, we map correspondences between distinct …

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% …

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 …

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 …

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 …

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 …

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. …

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 …

Symbolists Beyond The Magic: Appropriation In The Art Of Elihu Vedder And Gustave Moreau, Rebecca B. Shalliker

Art & Art History ETDs

This thesis examines the paintings of Elihu Vedder and Gustave Moreau as examples of how the late nineteenth-century Symbolist movement drew on Eastern regions as aesthetic sources for representing the spiritual. Considering the iconographic and conceptual overlap with the Spiritualist movement, it explores how these groups contributed to constructing an image of the “East” as inherently mystical. While existing scholarship analyzes the Symbolist movement’s engagement with psychoanalytical concepts such as the subconscious and dream state, the role of cultural appropriation in shaping the Symbolist aesthetic has been largely overlooked.

The depiction of Eastern iconography as fantastical will be explored through …

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 …

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 …

Amplifying Strengths: A Phenomenological Exploration Of Elementary Teachers’ Culturally Proficient Practices With Newcomer Students Through An Appreciative Inquiry Lens, Mary Elizabeth Bradford

Teacher Education, Educational Leadership & Policy ETDs

This qualitative study explored the lived experiences of elementary educators working with newcomer students in a Southwest urban school district, with the purpose of identifying culturally proficient strengths that support student belonging and learning. Guided by an interpretive (hermeneutic) phenomenological approach and informed by Appreciative Inquiry, the study centered educators’ meaning-making rather than deficit-oriented perspectives. Data were collected through in-depth, semi-structured interviews with five elementary educators serving newcomer students across kindergarten through fifth grade. Analysis followed van Manen’s phenomenological methods and resulted in six interrelated themes: belonging before language; school as a cultural system; language as agency and identity; cultural …

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 …

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 …

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 …

Assessing Uranyl-Specific Dnazymes And Dna-Aptamers For Uranium Binding In Environmentally Relevant Waters, Ashley R. Apodaca-Sparks

Civil Engineering ETDs

The legacy of uranium mining affects many communities in the western United States, resulting in elevated levels of uranium in surface water. The ability to quickly and accurately detect uranium on site in affected communities can lead to real-time water quality analysis that informs risk assessment and remediation efforts. The objective of this work is to advance the application of biosensing technologies for the measurement of uranium in waters affected by mining legacy. The third chapter of this thesis compares ANDalyze by AlpHa Instruments, a commercially available uranium biosensor, and inductively coupled plasma mass spectrometry (an EPA-verified method for uranium …