Digital Commons Network^™

Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim

Theses and Dissertations

Accurate estimation of the Maximum Detectable Distance (MDD) is critical for environmental remediation, nuclear incident response, and public safety. Conventional approaches assume stationary detectors and rely on computationally intensive simulations, limiting their applicability for mobile, real-time surveys. Mobile gamma spectrometry introduces additional complexities due to detector motion, variable acquisition times, and heterogeneous backgrounds. This study addresses the central question of how effectively a Physics-Informed Neural Network (PINN) can estimate MDD for mobile gamma spectrometry, while maintaining both accuracy and computational efficiency under dynamically changing environmental conditions. A multi-phase approach was employed, combining field data collection, computational modeling, and operational tool …

Nanocarbons For Electrodes And Electrolytes Of Sustainable And Solid-State Energy Storage Systems: Materials, Electrochemical Characterization, And Lifecycle Analysis, Ridwan Tobi Ayinla

Theses and Dissertations

The growing global demand for clean, efficient, and scalable energy storage technologies has intensified the search for sustainable alternatives to conventional battery and supercapacitor systems. Traditional electrochemical energy storage devices often rely on finite and environmentally harmful materials, toxic electrolytes, and rigid architectures that limit their applicability in emerging domains such as flexible electronics and wearable technologies. Additionally, the leakage of liquid electrolytes poses a persistent safety and reliability challenge, particularly for long-term and real-world applications. This research addresses these pressing challenges by developing a new class of green, flexible, and high-performance electrochemical energy storage systems using bio-derived materials. The …

A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan

Theses and Dissertations

This dissertation investigates the dynamic interplay between pedagogical strategies, learner diversity, and emerging educational technologies through three interconnected studies. Study 1 compares Traditional instruction, Problem-Based Learning (PBL), and Simulation-Based Learning (SBL), revealing that while PBL and SBL enhance student performance—particularly PBL—their impact on perceived learning varies. Notably, SBL reduced perceived learning despite strong outcomes, underscoring the affective and metacognitive complexities of active learning. Study 2 examines the role of demographic factors such as gender, ethnicity, employment, and first-generation status, finding no significant main effects but identifying a key two-way and three-way interactions, suggesting that instructional effectiveness is influenced by the …

Design, Development, And Validation Of An Automated Hole-Punching System For Precision Irrigation In Lay-Flat Poly Pipe Tubing, Micah James Foster

Theses and Dissertations

Increasing pressure on water resources in agricultural regions, particularly the Mississippi Delta, demands innovative irrigation technologies to optimize water usage while maintaining crop productivity. This research presents the design, development, and validation of an automated hole-punching system for lay-flat poly pipe tubing used in precision irrigation applications. The system ensures accurate and consistent hole placement through an integrated rotary cutting die, a PLC-based control architecture, stepper motor actuation, and distance-sensing and position-synchronization. The software logic maintains precise hole spacing despite variations in tubing speed. System performance was evaluated through extensive testing and statistical analysis of hole-spacing accuracy, repeatability, and sagitta-based …

Novel Experimental Techniques For Pressure Transients, Luliang Zhang

Theses and Dissertations

This dissertation introduces novel experimental techniques for analyzing pressure transients, focusing on dynamic strain and pressure measurements to advance the understanding and application of Pulse Pressure Amplification in percussive devices. The research evaluates a high-speed linescan extensometer utilizing linescan Digital Image Correlation (DIC) on a Kolsky Bar to obtain strain data at high strain rates. This data is critical for accurate material characterization and simulations to model dynamic behavior. Additionally, a novel method for measuring dynamic pressure waves in pipe systems has been developed, enabling direct assessments of pressure amplification in devices such as tapered pipe systems. The findings contribute …

The Social In The Spiritual: Non-Theistic Spirituality In 12-Step Addiction Recovery, Steph Jacobs

Theses and Dissertations

To investigate whether Western-raised Narcotics Anonymous (NA) members engage in non-theistic spirituality and non-humanist modes of sociality with non-human beings, I conducted six qualitative interviews and a small-scale survey within a Vancouver NA community. The majority of participants practice non-theist spirituality, and three interviewees relate to non-humans in ways not accounted for by Western humanism. Findings suggest that connection and sociality are intrinsically woven into recovery and well-being. This research opens conversations about non-theistic spirituality in NA recovery, non-human sociality and healing, processes of ontological negotiation, and the entanglement of spirituality, sociality, and well-being. Through daily practices of exploration and …

Improving Artificial Intelligence Literacy Among Middle School Students Using Tangible Objects, Sayantani Dutta

Theses and Dissertations

Given the rapid advancement of Computer Science (CS) and Artificial Intelligence (AI), introducing these disciplines early and effectively in education is essential. Many middle school students, however, struggle to understand these subjects when taught with traditional, abstract, and screen-based methods, which often fail to engage students or build deep conceptual understanding. This study argues that tangible, hands-on learning tools and interactive activities make AI and CS concepts more accessible, concrete, and engaging for students. The findings show that, compared to traditional lectures, hands-on activities lead to substantially improved comprehension, retention, and enjoyment. While the sample size poses limitations, the evidence …

Using Quantum Annealing For Sampling And Pattern Generation In Generative Machine Learning And Catastrophic Forgetting Mitigation, Abdelmoula El Yazizi

Theses and Dissertations

The first goal of this dissertation was to understand the reasons for the absence in previous investigations of significant and consistent improvements in the trainability of Restricted Boltzmann Machines (RBM) when the Quantum Annealer (QA) was used for sampling from the RBM probability distribution. The second goal was to address the shortcomings of those previous investigations, explore possibilities of improving RBM training, and identify other machine learning applications that could benefit from sampling or from generating patterns by the QA. The first part of this dissertation focused on a Local-Valley (LV) centered approach to assessing the quality of sampling. QA-based …

Dem Simulations For Tractive Performance Of Rigid Wheel In Granular Media, Aidan Noah Dickerson

Theses and Dissertations

Accurately predicting vehicle mobility in granular media is essential for evaluating off-road mobility in agriculture, defense, and planetary exploration. Traditional empirical models often fail in capturing complex micromechanics of soil deformation, especially under dynamic conditions such as high slips and maneuvering. This study demonstrates the value of the discrete element method (DEM) in modeling wheel-soil interactions with higher fidelity. Using Altair EDEM and pre-calibrated GEMM materials, simulations were conducted for a range of forward (-5.9% to 54.8%) and side slip angles (3°, 6°, 12°) in dry sand. DEM enabled detailed analysis of sinkage, traction forces, and lateral loads, revealing trends …

Faculty Adoption Of The Canvas Learning Management System: An Application Of The Utaut2 Framework, Alyssa Hutcheson Mckinley

Theses and Dissertations

This study aimed to examine faculty adoption of the Canvas LMS at a public university through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. Survey data were collected from faculty across multiple colleges within the university and were used to explore the predictive power of the UTAUT2 constructs including hedonic motivation, facilitating conditions, performance expectancy, effort expectancy, social influence, habit and behavioral intention. In addition to this, disciplinary differences along with discipline-specific needs were also considered in order to better understand adoption patterns. The results of this study indicated habit, hedonic motivation, facilitating conditions, and the …

How Are Teacher Leadership Characteristics Defined?: Investigating The Development Of Leadership Identity, Role Clarity, And Administrative Support, Anna C. Daher

Theses and Dissertations

The research study investigated how graduates of a teacher leadership preparation program perceived their development as teacher leaders, the factors that supported or hindered their leadership practices, and how their lived experiences aligned with the Teacher Leader Model Standards. The mixed method qualitative research study was designed to examine how teacher leaders make meaning of their growth and enactment of leadership while remaining in classroom roles. Eighteen graduates of a teacher leadership preparation program at a public university in Mississippi completed a survey on their leadership development and current roles. Of those, six participants representing diverse educational backgrounds, experience levels, …

Analysis Of Trends From Mass Concrete Case Studies, Bradford Songer

Theses and Dissertations

While conventional mass concrete is well understood, high strength and ultra high performance concrete present unique challenges when placed in large volumes. This thesis compiles and analyzes thermal data from mass high strength and ultra high performance concrete placements collected over the past eight years by the U.S. Army Corps of Engineers in support of military construction projects. The datasets span a wide range of material types and volumes. The analysis identifies trends in temperature development, temperature differentials, and the influence of mixture constituents on heat generation. This thesis contributes to the improved understanding of thermal behavior in mass concrete. …

Exploring The Impact Of Incorporating Artificial Intelligence Integrated Systems In The Workplace, Catherine Cruz Agosto Noda

Theses and Dissertations

This study focuses on assessing the impact of incorporating systems integrated with in the workplace by assessing the constructs of usability, cognitive load, and trust. The constructs are assessed by generation and experience level to determine which factors are relevant in a workplace setting. A workplace scenario was simulated by asking participants to complete tasks where they assumed the role of a warehouse manager assigned with assessing two scheduling systems – one with artificial intelligence and one without artificial intelligence. The participants were presented with three tasks of increasing difficulty for each prototype. Both quantitative and qualitative measures were used …

Enhancing Leadership Development For Faculty And Staff At Community Colleges, Christopher L. Haralson

Theses and Dissertations

Community colleges serve as critical gateways to higher education and workforce advancement, yet many lack formal leadership development programs tailored to their unique missions and operational challenges. This capstone project explores the need for and proposes the design of a comprehensive leadership program for community colleges, addressing three guiding questions: (1) How can community colleges build institutional support for leadership development programs? (2) In what ways can leadership programs increase faculty and staff engagement to improve student success? (3) How can structured leadership programs serve as foundations for succession planning within college administration? A desk-based research methodology was employed, anchored …

Bridging The Gap: Enhancing Novice Teacher Retention Through Logistical And Administrative Support, Denise Fleurette Harrel

Theses and Dissertations

This project examines the challenges novice teachers encounter and how structured support systems impact their job satisfaction, effectiveness, and retention. The review focuses on administrative and logistical support, highlighting gaps between teacher preparation and classroom realities that contribute to high attrition (Falk, 2017; Koca, 2016). Key challenges include insufficient time management training, inconsistent expectations, and limited district or school-level support (Fantilli & McDougall, 2009), all of which are intensified by the demands of navigating modern classroom technologies (Philipsen et al., 2019). The literature review centers on teacher perceptions to clarify what constitutes effective logistical and administrative support (Banerjee et al., …

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong

Theses and Dissertations

This research investigates the strategic decision-making process involved in selecting a nuclear-capable fighter aircraft for NATO (North Atlantic Treaty Organization) nations in Europe. In adaptation to the continuously changing technology landscape and the necessity for enhanced deterrence capabilities, this study evaluates three potential aircraft: the legacy Panavia Tornado (PA-200), the widely deployed F-16 Fighting Falcon (F-16), and the advanced F-35 Lightning II (F-35). Each platform presents distinct advantages and limitations regarding operational performance, mission adaptability, cost-effectiveness, and long-term sustainability. To systematically assess these alternatives, the study employs various decision analysis frameworks, including Multi-Criteria Decision Analysis (MCDA), single dimensional value function …

Inductively Heated Platinum Electrodes, Jayamini Madumali Mudugamuwa Hewage

Theses and Dissertations

This dissertation presents the fabrication and application of a 150 micrometer platinum microelectrode for induction heating, with a copper coil generating the electromagnetic field and the heating process controlled using pulse width modulation technique (PWM) to regulate the duty cycle of a high-frequency signal. Electrochemical characterization, including resonance frequency determination, peak-to-peak potential optimization, and scan rate variation, is conducted using a 5 mM [Ru(NH3)6]2+/3+ solution in 0.1 M KNO3 to calibrate current variations with changing duty cycles, while the temperature increase (delta T) is estimated using the Seebeck coefficient of [Ru(NH3)6]2+/3+. The study further explores the application of induction heating …

Power Resilience In Utah's Water Sector: A Survey Of Stakeholder Practices, Preferences And Potential, Tyler Christopher Peterson

Theses and Dissertations

Drinking water and wastewater services are vulnerable to disruptions because they rely heavily on the electric grid. As a result, power outages can lead to water outages, creating cascading failures that compromise sanitation, firefighting, healthcare, and daily routines. Although an important topic, there are little to no studies of water and wastewater power resilience at a geographic or state level. In this study we investigate the extent of existing backup power and renewable energy integration as well as the motivations and barriers around their power resilience. We collect our data through semi-structured interviews with staff at 19 urban and rural …

Climate-Driven Flood Risk Mapping And Adaptive Strategy Modelling For Coastal Tamil Nadu, Sakthi Kiran Dr Mr

Theses and Dissertations

Background: Tamil Nadu’s coastal corridor (Cuddalore–Sirkazhi; ~2,740 km²) experiences recurring floods driven by climate change, rapid urban expansion, and inadequate drainage across low-lying deltaic terrain. Existing flood assessments remain largely reactive and rely on static methods that fail to incorporate future climate projections, demographic growth, and evolving urban patterns.

Methods: This research develops a dynamic, climate-resilient flood risk framework integrating (i) long-term hydroclimatic trend analysis (1984–2023), (ii) satellite-based flood hazard mapping using multi-temporal Sentinel-1A and RISAT-1A SAR, (iii) CORDEX REMO2015 (RCP 4.5)–driven HEC-RAS 2D hydrodynamic modelling, (iv) machine-learning-based susceptibility modelling (RF, DT, SVM), and (v) scenario-based evaluation of structural mitigation …

Evaluation Of Internal Field In Ppln And Studies On Qpm Shg Efficiency Factor, Prasath Rk Mr

Theses and Dissertations

Periodically Poled Lithium Niobate (PPLN) crystals have attracted interest in optoelectronics and nonlinear optics. The response to the applied electric field is determined by their larger electro-optic and nonlinear optical coefficients. An internal electric field exists in congruent PPLN crystals due to its defects. Its evaluation is important in controlling the electro-optical behavior. A simple nondestructive diffraction method is proposed to estimate the internal electric field present in the congruent lithium niobate crystal.

Due to the presence of an unrelaxed internal field, the as-poled sample acts as an index grating. When a light is incident on such a sample, it …

Experimental And Theoretical Characterization Of Molten Salt Thermal Conductivity, Jacob C. Numbers

Theses and Dissertations

Molten salts form an ideal heat transfer fluid for advanced energy generation systems, including molten salt reactors (MSR). Accurate characterization of molten salt thermal conductivity is needed to confidently predict transient thermal behavior and optimize salt properties. Measurements are hindered by salts' challenging material properties, which---in the case of the needle probe device---induced unaccounted physical changes that limited its accuracy and repeatability. Sparse thermal conductivity data in general is exacerbated by a limited fundamental understanding of molecular energy transfer in liquids. This work extends the experimental capacity for compositional studies using the needle probe and proposes a theoretical model for …

Implementing Dataops: A Scalable Framework For Modern Data Warehousing, Dmytro Valiaiev

Theses and Dissertations

DataOps has been coined as a novel term that emerged as a synthesis of data management practices with software engineering concepts, such as DevOps and Agile, with the goal of improving data quality and governance in enterprises. The proliferation of scratch table use and transformation tools, such as dbt, has led to an exponential increase in the number of data models, which complicates standardization efforts and increases maintenance overhead. Although the market is saturated with various flavors of text-to-SQL engines that promote increased productivity and self-service use in organizations, there are limited tools available to optimize individual queries, enforce consistency, …

Mitochondrial Insoluble Aggregates In Aging And Alzheimer’S Disease Models: Cross-Species Proteomic Integration, Identification Of Conserved Candidates, And Pharmacological Disruption Of Eef-2 Interactions, Sonu Pahal

Theses and Dissertations

Protein aggregation within mitochondria emerges early in both aging and Alzheimer’s disease (AD) and contributes to progressive loss of proteostasis. Insoluble mitochondrial aggregate fractions from Caenorhabditis elegans revealed extensive enrichment of metabolic and translational proteins that also appear in human Alzheimer hippocampal aggregates. Comparative analysis across age and genotype identified a conserved subset of aggregation-prone proteins, several of which cluster around elongation factor 2 (eEF-2), a regulator of ribosomal translocation and energy coupling. Cross-species integration defined a network in which eEF-2 links chaperones, metabolic enzymes, and RNA-binding proteins that co-aggregate in both human Alzheimer material and nematode models. Functional tests …

Towards Resilient Data Governance: An Industry Study On Practitioner Perspectives On The Current State Of Data Governance, Anthony Mazzarella Iii

Theses and Dissertations

Experts agree that data governance is crucial for managing data as an asset, yet in practice, it remains inconsistently defined, unevenly implemented, and poorly understood. Earlier industry studies offered valuable descriptive benchmarks of governance adoption and professional roles, but provided limited theoretical insight and little empirical evidence explaining how governance functions within organizations. Building on this foundation, the current research offers a more substantial and analytically rigorous contribution by transforming descriptive observations into empirical explanations. Through a collaborative academic–industry partnership, the study utilizes a global survey of 565 respondents (348 valid cases) to analyze governance structures, motivations, challenges, and the …

Beyond Binaries, Bridging Divides: Centering Identity, Resistance, And Educational Justice Along The Texas-Mexico Border. A Critical Autoethnography Of Underrepresented Intersectionality, Invisibility, And Transformation In Education, Alexander Hernandez

Theses and Dissertations

This dissertation employs solo autoethnography and counter-storytelling to examine how intersecting identities, queer, neurodivergent, bilingual, and fronterizo, shape lived experiences within U.S. educational spaces along the Texas–Mexico border. Grounded in Critical Race Theory as a historical foundation and guided by the braiding logic of Intersectionality (Crenshaw, 1989), the study integrates Latino Critical Race Theory (LatCrit), Disability Critical Race Studies (DisCrit), and Queer Theory to analyze how race, language, ability, and sexuality converge within systems of schooling.

Using memory-work, poetic autoethnography, and narrative vignettes as primary data, the dissertation traces how educational institutions discipline identity through racio-linguistic policing, behavioral surveillance, and …

Feed Network Design For Passive Beamforming In Hemispherical Phased Arrays, Daniel Flores

Theses and Dissertations

This thesis presents the design, fabrication, and evaluation of a four-element microstrip patch antenna array with a passive 1 to 4 corporate feed network operating at 5 GHz. A single inset-fed patch was developed on Rogers DiClad 880 to ensure accurate tuning and mechanical flexibility, achieving a measured resonance of 5.009 GHz with excellent return loss. The corporate feed network, synthesized using T-junction dividers and quarter-wave transformers, demonstrated strong impedance matching, balanced amplitude distribution, and broadside realized gain near 10 dBi when integrated with the array.

Beam steering was examined through simulation-based phase control, revealing effective scanning up to approximately …

Navigating Cultural And Professional Identities: A Study Of Hispanic Women's Experiences In Aerospace Internship Programs, Jennifer Becerra

Theses and Dissertations

This phenomenological study investigated how Hispanic women navigated cultural identity and professional development during National Aeronautics and Space Administration (NASA) internship programs, examining the role of culturally responsive mentoring in supporting retention. The research question was, How do Hispanic women in aerospace-internship programs navigate the intersection of cultural identity and professional development as they transition from academic science, technology, engineering, and mathematics (STEM) programs to aerospace careers, and what role does culturally responsive mentoring play in supporting their retention?

Using Anzaldúa’s nepantla concept, Duncan-Andrade’s critical-hope theory, and Ladson-Billings’ culturally relevant pedagogy as theoretical frameworks, in this study, I employed semistructured …

Clustering 24-Hour Ambulatory Blood Pressure Time Series With Dynamic Time Warping And Time Warp Edit Distance, John Knight

Theses and Dissertations

Ambulatory blood pressure monitoring (ABPM) captures dynamic circadian changes in blood pressure (BP) that are not reflected in static clinic readings. This study applied time-series clustering with two elastic distance measures—Dynamic Time Warping (DTW) and Time Warp Edit Distance (TWED)—to identify distinct phenotypes in 2,155 24-hour ABPM time series from participants in the Maracaibo Aging Study. DTW and TWED both yielded three clusters corresponding to non-dipping, moderate-dipping, and strong-dipping patterns. The non-dipping group showed elevated nighttime BP, associated with greater cardiovascular and cognitive risk, while the strong-dipping group was associated with higher education and younger age in baseline clinic measurements. …

Efficient Self-Supervised Representation Learning For Large-Scale Time Series Classification, Kevin Garcia

Theses and Dissertations

Recently, there has been a significant advancement in designing Self-Supervised Learning (SSL) frameworks for time series data to reduce the dependency on data labels. Among these works, hierarchical contrastive learning-based SSL frameworks, which learn representations by contrasting data embeddings at multiple resolutions, have gained considerable attention. Due to their ability to gather more information, they exhibit better generalization in various downstream tasks. However, when the time series data length is significant long, the computational cost is often significantly higher than that of other SSL frameworks. In this paper, to address this challenge, we propose an efficient way to train hierarchical …

Interpretable Alignment Of Textual Weather Reports With Local Sensor Time Series For Extreme Weather Event Visualization, Juan Luis Garza

Theses and Dissertations

This thesis presents an automated and interpretable pipeline that links natural-language weather narratives with local meteorological sensor time series. Using large language models, NOAA-style event reports are transformed into structured records capturing event type, timing, descriptive context, and uncertainty. Each extracted event is aligned with harmonized temperature, precipitation, and wind measurements from nearby weather stations, enabling systematic comparisons between narrative evidence and observed atmospheric conditions.

Across roughly fifty stations and more than two thousand events, the analyses show that discrepancies between narrative descriptions and sensor behavior arise primarily from spatial separation rather than from temporal offsets, sensor preprocessing artifacts, or …