Digital Commons Network^™

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 …

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 …

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 …

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 …

Identification Of Aortic Centerline Shape Features, Bebel B. Trani

Mechanical Engineering and Materials Science Independent Study

Better predictions of the likelihood of an aortic event in patients are paramount to providing quality care in medicine. Ascending aortic aneurysms (AsAA) are typically asymptomatic until sudden complications, such as rupture or dissection, occur and are often fatal [1]. As a form of preventative care, physicians identify and monitor high-risk patients. Surgical interventions are also performed for high-risk patients, replacing the weakened segment of the ascending aorta before a catastrophic event occurs. Determining which patients require surgical intervention or close monitoring is therefore extremely important. These decisions are largely guided by maximum diameter measurements; for the ascending aorta, a …

Success By Design? A Combined Outcome And Process Program Evaluation Of California’S Early And Middle College High Schools, Brooke N. Martin-Gill

Education Dissertations

Early and Middle College High Schools (EMCHS) expand college access for

underrepresented students by integrating high school and college coursework within

community college settings. Despite strong reported outcomes, some EMCHS face

substantial student attrition. Limited research examines how EMCHS organizational

structures influence student persistence. This mixed methods outcome and process

evaluation seeks to address this research gap. Quantitative analysis (paired samples-t-

tests) examined statewide enrollment data (2017-2025) to determine whether significant

differences exist between Year 1 and Year 4 cohort enrollment. Qualitative analysis was

conducted through a deductive discourse analysis of Western Association of Schools and

Colleges (WASC) Self-Study reports …

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 …

Development Of A Lead-Lithium Eutectic Magnetohydrodynamic Loop For Corrosion Studies, Xavier S. Angus

Nuclear Engineering ETDs

Lead–lithium eutectic (LLE) is a leading candidate coolant and tritium breeder for fusion reactor blankets due to its favorable heat transfer properties and high tritium breeding ratio. However, LLE is highly corrosive and, in the strong magnetic fields present in fusion reactors, experiences magnetohydrodynamic (MHD) effects that can produce significant pressure drops and flow instabilities. Understanding corrosion behavior in these extreme environments is essential for assessing the viability of LLE blanket systems. This work presents the design and construction of a forced-convection LLE corrosion loop to study corrosion behavior at temperatures up to 425 °C and flow velocities up to …

Design And Analysis Of An Intermediate Heat Exchanger And Passive Decay Heat Removal System For A Generic Fluoride Salt-Cooled High-Temperature Reactor Application, Bao Hoang Nguyen

Nuclear Engineering ETDs

Generation IV reactors, such as the Fluoride salt-cooled High-temperature Reactor (FHR), feature efficient heat transfer and passive heat removal systems. However, accurately predicting thermal behavior under steady-state and transient conditions remains challenging. This work designs and evaluates a twisted tube heat exchanger (TTHX) serving as an intermediate heat exchanger (IHX) and a reactor cavity cooling system (RCCS) serving as a passive decay heat removal system for a generic FHR (gFHR), integrating both systems into a system-level MELCOR model. The TTHX was first designed and assessed using a MATLAB-based framework, followed by detailed MELCOR simulations. The results demonstrate effective heat transfer …

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, …

The Motivation Tapes: Employee Narratives Of Leadership That Matters, Jessica Gray

Masters Theses, 2020-current

This qualitative phenomenological study explored how employees describe their lived experiences at work. The purpose of the research was to understand the relational, emotional, and developmental dimensions that shape employees’ day-to-day workplace realities and the meanings they assign to those experiences. Four participants from diverse occupational backgrounds were interviewed using semi-structured protocols designed to elicit rich, descriptive accounts of their work environments, relationships, and sense-making processes. The findings reveal that participants shared experiences of supportive and hands-on leadership, opportunities for autonomy and ownership, and moments of connection, meaning, and long-term growth. Participants also described disruptions to these experiences. The implications …

Active Memory Civil Association Vs. Argentina, Kamila Knaudt

Loyola of Los Angeles International and Comparative Law Review

This case is about the botched investigation of the bombing of the building hosting the Asociación Mutual Israelita Argentina, (AMIA) in Buenos Aires, Argentina. The State admitted responsibility for the faulty investigation, which took more than twenty years, and the Court found Argentina in violation of several articles of the American Convention.

Kinetic Study Of Oil–Water Separation In A Dual Port Inlet Cyclone Separator, Ikhwanul Qiram, Agung Nugroho

Journal of Mechanical Engineering Science and Technology (JMEST)

In this study, a Computational Fluid Dynamics method is used to investigate the oil–water separation kinetics in a dual-port inlet cyclone separator. This was achieved using the Reynolds Stress Model coupled to an Eulerian multiphase framework. Three Reynolds numbers were studied (Re = 1.41×10⁵, 1.94×10⁵ and 2.52×10⁵) to analyse the flow; axial velocity distribution, vortex stability, radial migration velocity and separation efficiency were examined individually. Results indicate that both the radial migration velocity (vᵣ) and separation probability (p_remove) grow with Reynolds number, especially for larger oil droplets (10–100 µm). The best condition concerned is that …

Realizing The Long Wavelength Array Swarm, Craig Anthony Taylor

Physics & Astronomy ETDs

Sensitive modern radio interferometers are costly to build and operate at the university level. The `swarm telescope' concept addresses this challenge by enabling the collaborative use of individual telescope systems, overseen by separate institutions, that come together to form a more powerful and manageable facility. This dissertation focuses on demonstrating this concept using the Long Wavelength Array (LWA) by commissioning an aperture synthesis telescope consisting of interconnected LWA stations, called the LWA Swarm. The presented work details building a cost-efficient prototype LWA platform -- the LWA--North Arm station -- to enable synthesis imaging using the 3-element interferometer comprised of LWA1, …

Examining The Glat As A Measure Of Ai Literacy, Hunter R. Castleton

Masters Theses, 2020-current

The current study examined the Generative AI Literacy Assessment Test (GLAT) as a promising test of AI literacy due to its content, which is grounded in relevant AI literacy theory, and its design as a cognitive measure of AI literacy. To examine the GLAT, data were collected from a sample of 543 graduating seniors at James Madison University (JMU) who took the GLAT as part of a longer series of tests. Their responses were first analyzed to assess the test’s item characteristics and internal structure. Following this initial analysis, a final item set was established to ensure that low-quality items …

2026 Lynn University Commencement Program, Lynn University

Commencement Programs

The commencement exercises program for Lynn University's class of 2025. The ceremony, held on Saturday, May 16, 2026 at the Palm Beach Convention Center, included all graduating students (undergraduates and graduates).

The commencement speaker was was Bruce J. Himelstein, former Chief Sales & Marketing Officer of the Ritz-Carlton Hotel Company and Loews Hotels.

Hybrid Densenet-U-Net Framework For Automated Grading Of Renal Cell Carcinoma, Rohini Jadhav, Banani Mohapatra, Bhavnish Walia, Sital Dash, Kailas Patil, Shrikant Jadhav, Ishwari Rohit Raskar

Faculty Research, Scholarly, and Creative Activity

Introduction: Precisely grading renal cell carcinoma (RCC) through histopathology slides is a requisite to predict the cancer prognosis and select treatments, however, there is a considerable variability in the assessment between observers. While some AI systems mainly rely on transformer-based and nuclei-centric models, they are computationally very demanding so their clinical use is thus limited. Hence, there is a need for practical and easy-to-understand solutions that can be integrated into digital pathology workflows. Methods: We built a hybrid framework that integrates U-Net-based tumor segmentation, convolutional feature extraction, nuclei-aware descriptors, stain normalization, and attention-based multiple instance learning for slide-level RCC grading. …

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 …

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 …

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 …

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), …

Investigating Workforce Development Gaps In Tribal Transportation Agencies, Benson Long Jr

Civil Engineering ETDs

Tribal transportation programs face challenges in recruiting and retaining qualified staff, prompting reliance on external consultants for key responsibilities. This study explores how workforce constraints and organizational structures influence tribal outsourcing decisions. Survey data from 57 tribes informed a logistic regression model examining how geographic isolation, population size, training access, and the presence of a transportation department affect preferences for internal work, actual task completion, and instances where tribes intended to perform tasks in-house but outsourced instead. Findings indicate that outsourcing is driven by limited internal capacity, including staffing shortages, lack of certified personnel, and training opportunities. Geography also plays …

A Colonial Past Revisited: An Authethnography Of Outsider And Insider Identities In Indigenous Education Communities, Tara L. Deyoung

Teacher Education, Educational Leadership & Policy ETDs

In the late 90s, at Rehoboth Christian school, a small private boarding school in northwest New Mexico, I had four different English teachers in my four years of high school. All but two of my teachers at that time would be considered outsiders to the community in which they taught. Teacher outsiders leave schools and districts at higher rates than insiders to a community; this is especially true for rural and remote areas (Hudson et al., 2020). The purpose of this autoethnographic study is to analyze my history as a cultural outsider and insider in relation to my core beliefs …

Commencement 2026

Commencement Programs

No abstract provided.

Spring Graduate School Commencement: May 16, 2026, University Of North Dakota

UND Commencement Programs

UND Spring Graduate School Commencement program from May 16, 2026.

Spring Undergraduate Commencement: May 16, 2026, University Of North Dakota

UND Commencement Programs

UND Spring Undergraduate Commencement program from May 16, 2026.

Developing A Durable, Memory-Driven, Cspz-Targeting Lyme Disease Vaccine By Rationale Adjuvant Selection\, Miranda Mccarty, Sergio A Hernández, Jill Malfetano, Ana Carolina Leão, Maria Jose Villar, Xiuli Yang, Yi-Lin Chen, Jungsoon Lee, Zhuyun Liu, Ulrich Strych, Maria Elena Bottazzi, Utpal Pal, Klemen Strle, Wen-Hsiang Chen, Yi-Pin Lin

Faculty, Staff and Students Publications

Rational adjuvant selection is a systematic approach based on adjuvant-mediated immunomodulation to identify safe vaccine regimens that enhance protective immunity. Transmitted through ticks and caused by the bacterium Borrelia burgdorferi (Bb), Lyme disease (LD) is the most common vector-borne disease in the Northern hemisphere. There are no approved human vaccines, making it suitable for testing the concept of rational adjuvant selection. Here, we formulated our previously developed and effective LD vaccine antigen, CspZ-YAC187S, with different adjuvants suitable for human use; we analyzed the immune response by transcriptomics and tested the vaccine efficacy after Bb infection. We identified Alum-CpG and Alum-αGal …

Remaking Buford Highway: Immigration And The Struggle For Walkable Suburbia, Amit Kamma

Harvey M. Applebaum ’59 Award

Constructed according to a car-centric vision typical of American suburbs, one segment of Buford Highway outside Atlanta has become a corridor defined by immigrants who often walk and use public transit. These behaviors conflict with the existing car-focused infrastructure, compelling government actors to make the Highway more multimodal. Progress towards that goal is ongoing and precarious, demonstrating wider systemic challenges in U.S. planning and local governance.