Digital Commons Network^™

Structural Analysis Of The Aileu Metamorphic Complex And The Laclo Fault Of Timor Leste, Banda Arc-Continent Collision, Emma C. Morrison

Theses and Dissertations

This study presents a structural analysis of the brittle and ductile features within the Aileu Metamorphic Complex of Timor Leste, located in the active Banda Arc–Australian continental collision zone. The deformation history of the complex is interpreted from the Permian–Jurassic deposition of sediments and basalts into intra-arc basins of Gondwana, through to the present- day collision of the Australian continental margin. This collision led to the development of the Wetar Suture and subsequent back-thrusting of the Aileu metamorphic rocks northward over the Banda forearc. Field evidence confirms that the Laclo Fault is currently active, with the most recent movement exhibiting …

How Transitioning Autistic Adults Consciously Perform Neurotypical Communication, Makenna J. Allred

Theses and Dissertations

Using semi-structured interviews this research explored the experiences of transitioning autistic adults with online communication. Participants shared information about navigating online communication, highlighting specific challenges such as interpreting tone and sarcasm, managing unspoken social norms, like emoji use, and responding to ambiguous or unexpected interactions. Participants shared that misunderstandings do occur in their online communication and how they recognize those miscommunications and strategize around preventing and mitigating them. These findings reveal that while computer-mediated communication offers opportunities for connection, it also presents unique obstacles that can exacerbate feelings of frustration due to miscommunications or misunderstandings. To prevent these social frictions …

Modeling And Simulation Of Tensegrity Structures With Continuous Cables, Austin R. Brown

Theses and Dissertations

This thesis presents a novel approach for modeling and simulating tensegrity structures with continuous cables. A Python-based simulation framework package was developed to address limitations in existing tensegrity modeling software, particularly the inability to model cables passing through multiple nodes. The framework utilizes virtual work methods to solve for equilibrium configurations of 2D, 2.5D and 3D tensegrity systems. Key features include: • A YAML-based input system for easy definition of tensegrity topologies. • Algorithms for handling continuous cables spanning multiple nodes. • Optimization techniques to find stable equilibrium states. • Capability to simulate 2.5D structures wrapped around cylindrical surfaces. • …

Semitic Root Encoding: Tokenization Based On The Templatic Morphology Of Semitic Languages In Nmt, Brendan T. Hatch

Theses and Dissertations

The morphological structure of Semitic languages like Arabic and Hebrew is based on non-concatenative roots and templates. This complex word structure used by humans is obscured to neural models that use traditional tokenization algorithms. In this work, I present and evaluate Semitic Root Encoding (SRE), a tokenization method that represents Semitic words with distinct root and template stem tokens, and apply it to neural machine translation (NMT). I evaluate whether tokenization with the SRE method leads to increases in translation quality, whether it allows NMT models to hypothesize unseen word forms needed at inference, and how impervious resulting NMT models …

Building And Demonstrating A Framework And Guide For Human-Centered Threat Modeling, Warda Usman

Theses and Dissertations

As researchers increasingly seek to understand threats faced by people rather than systems, there remains little consensus on how to study these threats in ways that are grounded in human experience. Traditional approaches to threat modeling are often designed for system vulnerabilities and offer limited guidance for eliciting or analyzing threats as understood by individuals in their social and cultural contexts. This dissertation addresses this gap by advancing human-centered threat modeling (HCTM) in security and privacy research as both a conceptual framework and through a set of empirical studies. The dissertation employs a mixed set of qualitative methods across four …

Enhancing Gpr Reliability For Concrete Infrastructure: Integrating Signal Processing And Deep Learning For Defect And Corrosion Assessment, Priyam Chowdhury

Theses and Dissertations

This research addresses the critical issue of deteriorating civil infrastructure by utilizing GPR integrated with advanced signal processing and machine learning. Employing the Conquest 100 system, four concrete slab configurations were tested: multi-layer rebar with defects, single- and double-layer rebar setups, varied rebar spacing, and pre-corroded rebars (0–30% mass loss). GPR B-scans collected over 3–60 days demonstrated that detection accuracy varied significantly with curing time, structural complexity, and moisture levels. A custom-developed Python script surpassed EKKO_Project software in rebar localization, achieving lower position errors (0.4–0.7 inches compared to 0.5–1.25 inches). Notably, the amplitude of GPR signals unexpectedly increased with corrosion …

Incorporating Propensity Score Weighting And Nonresposne Adjustments Into Complex Survey Data With Survival Outcomes, Xinrui Shi

Theses and Dissertations

Propensity score weighting (PSW) plays a key role in minimizing confounding in observational research, especially when estimating treatment effects for time-to-event outcomes. However, its integration into survey data with complex design – particularly data with multiple stage sampling and censoring – remains underexplored. One significant challenge in such settings is the presence of nonresponse, which can introduce additional bias and complicate the use of standard weight adjustments. Moreover, there has been limited study on how PS weights can be effectively combined with nonresponse weighting adjustments in complex survey data that include survival outcomes. This dissertation aims to extend current methodologies …

Study Of Capital And Operation Costs For Reverse Osmosis Desalination Plants, Habiba Mahdy Mohamed

Theses and Dissertations

Desalination is a progressively common solution to supply freshwater in numerous parts of the globe where this resource falls short. Among all desalination techniques, seawater reverse osmosis (SWRO) is the most globally prevalent technology. Evaluating a desalination technology's cost-effectiveness is essential to ensure a well-designed plant can be implemented successfully and within an acceptable budget. In the Egyptian context, where water scarcity heightens the urgency of effective resource allocation, economic indicators such as capital expenditure (CAPEX) and operational expenditure (OPEX) are pivotal in shaping policy and planning decisions. Adopting this integrated financial perspective ensures that desalination projects are not only …

A Multiple Case Study On Cisgender Women Experiences In Electrical And Computer Engineering And Computer Science Majors, Alena Marie Degeorge

Theses and Dissertations

Gender disparities are found in Science, Technology, Engineering, and Math (STEM) education because of gender norms and stereotypes that project the ideology that men are better at those subjects than women. Women who pursue a college education in STEM encounter barriers that influence them to switch to a non-STEM-related major making them part of the leaky pipeline. This case study examines the experiences that junior and senior cisgender women have while pursuing an electrical and computer engineering or computer science degree and how they overcome barriers they encounter to continue their educational pursuits in a Computer Science and Engineering (CSE) …

Investigating Solvent Effects On Crystallization Kinetics, Ibrahim Joel

Theses and Dissertations

The use of crystallization for separation is not a recent phenomenon. However, the development of efficient crystallization processes is continually being challenged by the complexity and high cost of new drug substances, coupled with stringent regulatory requirements, which add to the uncertainty surrounding drug launches by pharmaceutical enterprises. Accurate characterization of crystallization kinetics is a key step in crystallizer design, which can be influenced by several factors, including process conditions, scale, and the measurement techniques used for tracking particle evolution. These factors often lead to inconsistencies between kinetic studies, hindering rapid implementation within industrial contexts. This thesis presents a case …

Efficient Signal Synthesis For Data Augmentation Using Generative Ai, Yagna Veera Narayan Kaasaragadda

Theses and Dissertations

Modern signal processing AI applications face increasing demands for diverse training data while operating under computational constraints. State-of-the-art generative models, though effective, often require prohibitive resources, limiting their deployment in real-time or embedded systems. This thesis proposes a computationally efficient framework for synthetic signal generation using a two-stage architecture that combines a Vector Quantized Variational Autoencoder (VQ-VAE) with either a decoder-only transformer or a discrete diffusion model. The VQ-VAE encodes high-dimensional signals into discrete latent tokens, significantly reducing model complexity while enabling symbolic sequence modeling. These discrete representations are then modeled using transformer-based autoregressive models or Score Entropy Discrete Diffusion …

Advances In And Applications Of Capillary Scale Liquid Chromatography, Samuel William Foster

Theses and Dissertations

Analytical-scale high performance liquid chromatography (HPLC) is one of the most widely used analytical techniques in the world. Efforts have been made to reduce the mobile phase consumption of HPLC by reducing the inner diameter (I.D.) of the column. By using capillary-scale columns (< 0.5 mm I.D.), separations can be performed with orders of magnitude less solvent consumption. This work describes advances made to capillary scale instrumentation as well as applications enabled by these advances. A compact capillary-scale LC was used for the analysis of numerous pharmaceutical and illicit drug compounds for point of need analysis. A miniaturized mass spectrometer was coupled to this instrument for on-line reaction monitoring within a standard chemical fume hood. Kinetic profiles of commercially available capillary columns were developed in order to provide guidance to others during column selection. The implementation of a column oven improved the analysis of large biopharmaceuticals. Several critical quality attributes of monoclonal antibodies including fragmentation, charge variants, and glycosylation profiles were able to be determined on the capillary scale. These results will help to make capillary-scale liquid chromatography a more viable solution for chromatographic analysis.

From Lists To Infinite Scroll: A Comparative Analysis Of Youtube’S Two Recommendation Algorithms, Selimhan Dagtas

Theses and Dissertations

As social media platforms increasingly dominate information consumption, the role of recommendation algorithms in determining user experience has grown both in complexity and impact. This thesis investigates the behavioral patterns and algorithmic preferences embedded within YouTube’s recommendation systems, comparing long- form videos with the rapidly growing category of short-form content, YouTube Shorts. Through a combination of automated data collection, engagement metric analysis, emotional sentiment detection, and toxicity assessment, this study analyzes the evolution of content over successive recommendation depths. Using a controlled digital environment, the research explores how content recommendations change in response to user behavior, including varying watch times …

Exploring Soft Polymeric Nanoparticles For Targeted Biomolecule Delivery In Plant Cells, Mohammad Rashid

Theses and Dissertations

Safe and efficient agricultural practices require innovative technologies. Nanotechnology offers promising solutions for advancing plant agriculture by enabling the targeted delivery of biomolecules such as agrochemicals and nucleic acids. This study focuses on developing a safe nanotechnological approach for delivering molecules of interest into plant cells. We investigated the ability of four types of polymeric nanoparticles such as Polyethylene glycol N, Nʹ-dibutylethylenediamine (PEG-DB), Polyethylene glycol 2-pyrrolidin-1-yl-ethyl-amine (PEG-PY), Polyethyleneimine (PEI), Arabinoxylan (AX)+, and Zein+ to form conjugates with plasmid DNA (pDNA). Our findings confirm that plant-derived cationic nanopolymers, AX+ and Zein+, effectively bind negatively charged pDNA (pGFPGUSPlus) carrying a GFP reporter …

Isotope Production Modeling In Sodium-Cooled Fast Reactors, Aaron W. Burkhardt

Theses and Dissertations

The accurate prediction of isotopic compositions in Sodium-Cooled Fast Reactors (SFRs) is essential for nuclear forensic analyses and international nuclear treaty monitoring, particularly with the increased global deployment of Generation-IV reactors. This research developed and validated a detailed computational model tailored specifically to the Prototype Fast Breeder Reactor (PFBR), employing advanced Monte Carlo neutron transport methods, sophisticated burnup modeling, and variance reduction techniques. Validation against empirical data from the Experimental Breeder Reactor-II confirmed the model’s accuracy, producing a comprehensive database of isotopic compositions across 301 assembly locations and 580 isotopes through the reactor’s initial operation and equilibrium cycle. The model …

Load Balancing In Mobile Networks Using Deep Reinforcement Learning And Traffic Prediction, Shorouk Raafat Mokhtar Abouamasha

Theses and Dissertations

Wireless communication networks are advancing at a rapid pace, driven by various challenges and ambitious goals. This rapid growth is driven by a range of applications, including technologies like the Internet of Things (IoT), as well as innovations in smart cities, autonomous vehicles, and more. Different applications demand specific performance criteria such as high data throughput, low latency, robust reliability, and efficient energy usage. In this thesis, we investigate two enhancements that can be adopted in wireless networks to tackle the challenges of resource optimization and network management. The motivation behind this is the fact that future networks will face …

Contract Quality Feature Extraction Using Llm, Aaron C. Washington

Theses and Dissertations

This study explored the potential insights generated from linguistic complexity measurements and large language model (LLM) based assessments on the quality of contract documents. By combining structured True/False prompts with log-probability analysis and ambiguity scoring, the study introduced novel contract-quality assessment methods. Results support a feature-driven approach to contract evaluation, one that offers automated, scalable insights for triaging risk and improving drafting practices. These assessment methods contribute to the growing field of legal natural language processing by offering modular tools for effective contract analysis.

Equiangularity From Compatible Orthobiangularity, Tyler J. Myers

Theses and Dissertations

An equiangular tight frame (ETF) is an equal norm sequence of vectors in a Hilbert space whose coherence achieves equality in the Welch bound. Such sequences necessarily have minimal coherence and thus are, in some sense, as "spread out" in space as possible. ETFs have a variety of applications, such as compressed sensing and waveform design. The main problem in the study of ETFs is determining the pairs (D, N) for which an ETF with N vectors in a D-dimensional space exists. Real ETFs are moreover equivalent to a special subset of a well-studied class of graphs known as strongly …

Rotating Scatter Mask System Optimization Study For Determining Optimal Image Recreation, Seth L. Grover

Theses and Dissertations

The Rotating Scatter Mask (RSM) system is a radiation imaging technology currently limited by the mask design and governing identification algorithm parameters. To optimize the RSM design, Dakota—an optimization software—was integrated with a ray tracing code that simulates particle interactions with the RSM detector, and with the Locally Competitive Algorithm (LCA), which reconstructs the source image based on the ray tracing code’s Detector Response Matrix (DRM). Since the original ray tracing code was developed in MATLAB, it was translated into Python to improve compatibility with both Dakota and LCA. The Python version of the ray tracing code was then integrated …

Fused-Silica Microelectromechanical Systems For Relative Gravimetry, Ethan Doerstling

Theses and Dissertations

Gravimeters are devices that measure gravitational acceleration which can be used by the United States Air Force (USAF) in the areas of navigation and remote sensing. Fused-silica microelectromechanical systems (MEMS) devices offer capabilities to make inexpensive relative gravimeters with higher thermal stability than common silicon devices while maintaining good gravitational sensitivity. The fused-silica devices in this research were designed, simulated, fabricated, and tested to observe their performance as gravimeters. The devices exhibit properties of highly sensitive accelerometers but the current designs do not qualify as gravimeters. This study provides information to improve the sensitivity and stability of these fused-silica MEMS …

Leveraging Large Language Models (Llms) For Automated Generation Of Sysml V2 State Machines In Guidance, Navigation, And Control (Gnc) Systems, Andrea Louise Ames

Theses and Dissertations

Modern defense systems continue to grow in complexity, placing increasing pressure on engineering workflows to be faster and more adaptable. While Model-Based Systems Engineering (MBSE) with the emerging SysML v2 standard provides a framework for capturing system behavior, its practical use is often limited by the expertise and time required for manual modeling. This research investigates whether large language models (LLMs) can help overcome that barrier by automatically generating SysML v2 state machines from Guidance, Navigation, and Control (GNC) textual inputs. Three LLM Flowise-based models were developed and evaluated: the Structured Transformation Model (STM), which uses a structured extraction and …

Constraining Nuclear Data Uncertainty Requirements For The 19F(A, N)22Na Reaction For Non-Proliferation Applications, Tyler R. M. Smith

Theses and Dissertations

This thesis explores the requirements on nuclear data uncertainties needed for the use of the ¹⁹F(α, n)²²Na reaction for nuclear non-proliferation applications. An overview of how neutrons are produced from alpha decays in a UF₆ medium is discussed. Calculation demonstrate the role nuclear data uncertainties effect the neutron yield and energy spectra as a function of enrichment.

Teaching Hygiene Skills To Teenagers With Developmental Disabilities Utilizing Friendship Circles, Nathaniel Medsker

Theses and Dissertations

High school students with intellectual and developmental disabilities (IDD) often struggle with hygiene skills, including table manners. These difficulties are especially noticeable in peer tutoring settings. Peer tutors were utilized to increase the mouth wiping behavior of the students with IDD using peer influence through the friendship circles intervention. The participants included high school age students with IDD and accompanying peer tutors from their classroom. This was done in a social setting during lunch while the peer tutors modeled the appropriate mouth wiping behavior and complimented the students with IDD if they also participated in the mouth wiping behavior. The …

Relations Among Racism-Related Stress, Anxiety, Spirituality And Mindfulness In Black Sexual Minority Men, Kainaat Anwar

Theses and Dissertations

Abstract Kainaat Anwar RELATIONS AMONG RACISM-RELATED STRESS, ANXIETY, SPIRITUALITY AND MINDFULNESS IN BLACK SEXUAL MINORITY MEN 2021-2022 Jonathan Mathias Lassiter, Ph.D. Master of Arts in Clinical Psychology Black sexual minority men’s experiences of racism and anxiety have not been documented extensively in the literature. There is also a paucity of research exploring protective factors that can mitigate the effects of racial stress on anxiety in BSMM. Therefore, this study looked at the potential moderating effects of spirituality and mindfulness on the relationship between racism-related stress and anxiety in BSMM. Participants completed measures regarding socio-demographics, racism-related stress, anxiety symptoms, mindfulness and …

Exploring Virtual Group Acceptance And Commitment Therapy Format On Participation Of Parents Of Children With Autism, Abigail Owen

Theses and Dissertations

Parents of children with autism spectrum disorder (ASD) and co-occurring challenging behavior (e.g., aggression, self-injury, property destruction) experience higher rates of anxiety, depression, and poor overall well-being. Acceptance and commitment therapy (ACT), which encourages psychological flexibility, is an effective intervention for addressing well-being in this population when presented in various formats. Despite its potential to increase accessibility and improve social connectedness for parents, time commitment may impact parents’ willingness to participate in virtual ACT group interventions. The current study examined parents’ participation in and perceived acceptability of 6 hrs of virtual ACT groups in three different formats: a 6-hr workshop, …

Calculating Moment Magnitude Using The Coda Calibration Technique To Update The Earthquake Catalog Of Iraq (1900-2021), Muntadher Al-Kaabi

Theses and Dissertations

The first comprehensive earthquake catalog for Iraq based on moment magnitude (Mw) ‎was compiled by Onur et al. (2017). It spanned the period from 1900 until the end of ‎‎2009, covered the region between 26°–40° N latitudes and 36°–51° E longitudes, and ‎included more than 18,000 earthquakes, of which roughly 4,000 are of Mw 4.0 or larger. ‎With the ongoing efforts of updating the probabilistic seismic hazard assessment ‎‎(PSHA) and the Iraqi building code, the need for an updated earthquake catalog for Iraq ‎in terms of moment magnitude (Mw) has been raised. Robust estimation of moment ‎magnitude (Mw) can be …

Design And Performance Evaluation Of Pv-Powered Ev Charging Stations With Grid Integration And Comparative Analysis Of Dc-Dc Converters For Offboard Chargers, Mohammad Abidur Rahman

Theses and Dissertations

Grid-integrated photovoltaic (PV)-powered electric vehicle (EV) charging stations offer a sustainable solution for reducing grid dependency and fossil fuel consumption in workplace environments. This study proposes a PV-powered EV charging system with an AC bus configuration and grid support to ensure stable and efficient operation. A comparative analysis of four DC-DC converter topologies—Dual Active Bridge (DAB), LLC Resonant, Interleaved Buck-Boost, and Interleaved Buck—is conducted for offboard charging applications. Performance evaluation is carried out using MATLAB/Simulink, considering voltage and current ripple, power density, stress levels, bidirectional capability, and control complexity. Component-level reliability is assessed using MIL-HDBK-217 standards to estimate failure rates …

Blockchain-Enabled Master Data Management, Shakhawat Hossain

Theses and Dissertations

Master Data Management (MDM) is essential for maintaining data quality, accuracy, consistency, and governance within organizations. However, traditional centralized MDM systems continue to face challenges related to data integrity, security, and scalability. This research presents a blockchain-enabled MDM framework designed to overcome these limitations by leveraging blockchain’s decentralized, immutable, and secure architecture. The study aims to identify and address the shortcomings of conventional MDM practices, examine the applicability of blockchain technology in enhancing these systems, and develop a functional prototype to validate the proposed model. The framework incorporates decentralized review mechanisms that improve auditability and ensure trusted data verification by …

Experimental Characterisation Of Laser Cladding Of Crniw And Crnifealzr Powders On H13 Tool Steel And Optimisation Of Process Parameters, Martin Vinoth S

Theses and Dissertations

In this work, laser cladding on H13 steel substrate with two different powder compositions CrNiW and CrNiFeAlZr has been carried out. The laser power, powder feed rate, and scanning speed were varied and the clad dimensions, aspect ratio, and dilution percentage were measured. The microhardness found in the CrNiW clad is 834 ± 20 HV0.5, which is higher than that of the CrNiFeAlZr clad (780 ± 20 HV0.5) as well as the substrate (548 ± 20 HV0.5).

The X-ray Diffraction (XRD) patterns identified the common phase creation of Ni3C and Fe3C for CrNiFeAlZr and CrNiW coatings, while the oxide formation …

Application Of Bioinformatic Tools To Tuberculosis Surveillance At The Arkansas Department Of Health, Brian Scott Delavan

Theses and Dissertations

Tuberculosis (TB) remains a public health threat in Arkansas. Great strides have been made over the past fifty years to reduce the number of TB cases in Arkansas. However, the rate of TB cases has remained steady since 2010. According to the Arkansas Department of Health, from 2012 through 2023 the TB Case rate per 100,00 population was between 2.0 and 3.1. To continue Arkansas’ drive towards elimination of TB in Arkansas, defined as one TB case per million residents, new data analysis tools are needed. This project employs multiple bioinformatic tools to analyze TB cases and latent tuberculosis infections …