Digital Commons Network^™

Sustainable Approaches For Water Remediation And Soil Amendment, Hashani Abeysinghe Herath Mudiyanselage

Theses and Dissertations

Hydrosphere decontamination and sustainable agriculture are economic, health, and environmental concerns. Conventional non-destructive and destructive water treatment methods, and fertilizer formulations, can be expensive or ineffective. Biochar-nutrient composites have gained global acceptance as adsorbents or soil additives due to biochar’s modifiable surfaces, enabling enhanced performance and environmental benefits. This dissertation studied sustainable methods for removal of aqueous arsenic(V) by adsorption and destruction of per- and polyfluoroalkyl substances (PFASs) in liquid ammonia by defluorination and fertilizing phosphorus-deficient soil. Chapter II focuses on the surface morphological and physicochemical changes in alkali-exposed microparticulate magnetite-deposited rice husk (RH) biochar (Fe3O4@RHBC) relative to its pristine …

Comparative Analysis Of Spray Pattern Deposition In Commercial-Off-The-Shelf (Cots) U.S.-Manufactured Uncrewed Aerial Application System (Uaas), James Mackey Ikerd Ii

Theses and Dissertations

Uncrewed aerial application systems (UAAS) are increasingly used for agricultural spraying, but spray deposition uniformity and effective swath width can vary between platforms. This study evaluated spray-pattern deposition and effective swath width for two commercial off-the-shelf (COTS) UAAS platforms during manual and autonomous flight operations. Manual, single-pass testing was used to assess preliminary performance and spray characteristics for both UAAS. Further autonomous multi-pass and single-pass evaluations were conducted to assess deposition uniformity and in-swath variability for both UAAS utilizing two methods of evaluation: Operation Self-regulating Application & Flight Efficiency (S.A.F.E.) pattern testing for manual flight evaluation and the Swath Gobbler …

Improving The Hemp Fiber Supply Chain: Barriers, Innovations, And Regulatory Impacts, Sneha Chapagain

Theses and Dissertations

The hemp fiber sector in the United States has seen significant growth challenges, including a lack of processing infrastructure, inconsistent regulations, and limited research. The Theory of Constraints and Systems Engineering frameworks are used in this study to carefully analyze these difficulties. The study identifies important bottlenecks, investigates system-wide inefficiencies, and examines the impact of regulatory complexity using a survey of key supply chain stakeholders. The findings emphasize the need for more processing capacity, better coordination among supply chain actors, and more policy harmonization. The report also identifies stakeholder-driven improvements in technology, transportation, and market integration that could boost efficiency …

How Family Functioning Impacts Adolescent Outcomes: The Roles Of Cohesion, Flexibility, Communication, Satisfaction, And The Family Environment On Well-Being Across Levels Of Family Complexity, Emily E. Shaw

Theses and Dissertations

This dissertation research is a combination of two studies. The overarching and guiding focus for this study involved how family functioning and environments influence adolescent psychological well-being, and do these associations vary based on levels of family complexity. Study 1 examined family complexity and family environments as potential predictors of family functioning, while Study 2 examined family functioning and family complexity as potential predictors of adolescent negative (i.e., anxiety and depression) and positive (i.e., engagement, perseverance, optimism, connectedness, and happiness) well-being. In Study 1, family complexity was not predictive of family functioning, but the family environment was a strong predictor. …

Exploring Rural Ap Stem Motivation, Interests, And Aspirations: A Self-Determination Theory Lens, Erin Seger Mcguire

Theses and Dissertations

Science, technology, engineering, and mathematics (STEM) have become the focal point of many countries around the world, with the intention of strengthening national renown by being the first to make advancements in STEM domains. The United States has recognized the importance of STEM and STEM education, though these efforts are lacking in rural areas, like Mississippi. These schools often serve underrepresented populations and may be unable to financially support learning opportunities inside and outside the classroom. Additionally, the national teacher shortage disproportionately affects science and mathematics classes; in rural schools, teachers in these areas may be underqualified, as the schools …

Scan Statistics For Nonhomogeneous Poisson Processes: A Method For Cnv Detection, Asanka Rathnayaka Duwage

Theses and Dissertations

This dissertation studies scan statistics for detecting localized changes in non-homogeneous Poisson processes. The motivating problem arises from genomic sequencing data, where tumor and normal read locations may differ over short regions due to copy number variation, while the underlying event intensity varies across the domain. In this setting, methods based on homogeneous Poisson process assumptions are not appropriate. The dissertation develops and studies scan-based methods for detecting local differences while accounting for non-homogeneous structure. Three related approaches are considered. The first develops a scan statistic for a nonhomogeneous Poisson process and uses extreme value calibration after transformation under the …

Geospatial Approach To Assessing The Association Between Air Pollution And Asthma Prevalence Across Metro Areas In The U.S., Clifford Boateng

Theses and Dissertations

Asthma is a common respiratory disease with growing evidence linking air pollution as a major risk factor. This study examined associations between asthma prevalence among U.S. adults and satellite-derived pollutant estimates (NO2, SO2, PM2.5/AOD) across major metropolitan areas. Individual-level and aggregated data from the 2022 SMART BRFSS were analyzed using multilevel logistic regression and spatial hotspot analysis, respectively. Results showed that higher SO2 concentrations were associated with increased odds of asthma, while NO2 showed an inverse association and AOD was not statistically significant in fully adjusted models. Lower household income was associated with increased asthma odds. The spatial analysis revealed …

The Impact Of Z-Plane Stitching On The Toughness Of Resin Infused Composite Structures, Stephan Sendelbach

Theses and Dissertations

While Stitched Resin Infusion (SRI) has been successfully implemented in aerospace, the understanding of the benefits of z-plane reinforcement in resin-infused carbon fiber structures remains in its infancy. This study was conducted in two phases. Phase 1 involved the fabrication, testing, and failure analysis of both z-plane reinforced and unreinforced standardized skin–stringer assemblies. Comparison of the experimental results and examination of the failure progression informed a second phase of testing. In Phase 2, testing was repeated with the addition of localized z-plane reinforcement to delay the initial yield and supported the postdoctoral research of Dr. Taehee Lee. Results from both …

Interpretable Model For Chlorophyll-A Using Symbolic Regression-Genetic Programming., Ruta Narkhede

Theses and Dissertations

This research explores application of symbolic regression using genetic programming (SRGP) to develop interpretable analytical models. Most state-of-the-art machine learning techniques produce models with reasonable predictive accuracy. However, the black-box nature of these models occludes the relationship between inputs and outputs. Symbolic regression using genetic programming evolves an analytical equation that is transparent, interpretable, and portable, allowing researchers to easily apply the models on the field with minimal equipment and inputs. This study demonstrates the capability of genetic programming to generate accurate and explainable models, highlighting its potential as an alternative to traditional machine learning approaches where interpretability is an …

Carbon Dioxide Capture, Utilization, And Storage: A Comprehensive Overview, Katheryn Bailey

Theses and Dissertations

The average global surface temperature is rising, with the 20th-century average being 2.63˚F/1.46˚C above the pre-industrial average, 56.7˚F/13.7˚C. Therefore, research into CO2 capture technology is being explored and implemented as a method to reduce greenhouse gas emissions. The main methods of CO2 capture are pre-combustion, post-combustion, oxy-fuel combustion, and direct air capture. These processes utilize solvent-based absorption, adsorption, membrane separation, and chemical looping combustion to separate CO2 from the exhaust gas. Implementation of this technology can come with increased: material cost, energy penalty, and CAPEX depending on the separation technique, existing equipment, inlet CO2 concentration, and partial pressure, etc.. Financial …

A Comparative Study Of Synthetic Aperture Radar Focus Algorithms For Maritime Surveillance Applications, Madison M. Forrest

Theses and Dissertations

Maritime Synthetic Aperture Radar (SAR) imagery is frequently degraded by vessel motion and ocean-induced dynamics that violate the stationary scene assumptions of conventional SAR image formation, resulting in azimuth defocus and reduced image interpretability. Autofocus techniques are commonly employed to mitigate these effects; however, their relative performance in maritime environments and the tradeoffs between image quality and computational complexity remain areas of ongoing investigation. This work presents a comparative evaluation of three established SAR autofocus algorithms—Phase Gradient Autofocus (PGA), Minimum Entropy (ME), and the Doppler Parameter Estimation Algorithm (DPEA)—applied to real-world maritime SAR imagery. The study utilizes X-band SAR data …

Optimization Of Punicalagin-Releasing In Situ Forming Microparticles (Prism) For Treatment Of Osteoarthritis, J. Alejandra Amaya

Theses and Dissertations

Osteoarthritis (OA) is characterized by inflammation and degradation of articular cartilage, of which disease-modifying therapies are limited. Punicalagin (PUN), a polyphenol with cartilage-protective and anti-inflammatory properties, has inhibitory effects on matrix metalloproteinase-13 and pro-inflammatory cytokines. This study aims to optimize formulation of punicalagin-releasing in situ forming microparticles (PRISM) by varying polymer concentration, polymer ratio, solvent ratio, and oil-to-polymer ratio. Design of Experiment (DoE) software was used to generate 25 formulations. PRISM was created by emulsifying the polymer/drug solutions in sesame oil. Drug release data was measured via optical absorption readings and particle size determined by both scanning electron microscope (SEM) …

Engineering Identity And Persistence In Community College Students, Joseph Anthony Minutolo

Theses and Dissertations

As our society becomes more technologically advanced, the need for engineers grows. Academia is tasked with preparing future engineers to meet this increasing need. However, as graduation rates continue to hover around 50%, researchers have begun to investigate what aspects of the student experience have a positive effect on the retention of engineering students. One researched topic is the relationship between engineering identity and persistence. Engineering Identity is rooted in the theoretical framework of Identity Theory, whereas Persistence is grounded in Expectancy-Value Theory. Previous research has shown a positive correlation between engineering identity and persistence among traditional university engineering students; …

Decentralized And Privacy-Preserving Intelligent Systems Via Federated Learning For Healthcare Monitoring And Financial Security, George Anim

Theses and Dissertations

The rapid expansion of data-driven methodologies in healthcare and finance is increasingly constrained by ethical, regulatory, and security requirements that limit centralized data sharing. Sensitive information—including electroencephalogram (EEG) recordings and inter-institutional financial transaction logs—remains siloed, reducing opportunities for collaborative model development and limiting generalizability across heterogeneous environments. In healthcare, epileptic seizure prediction is challenged by inter-patient variability, scarce and non-IID EEG data distributions, and the need for real-time inference on resource-constrained wearable devices. In finance, anti-money laundering (AML) detection is complicated by decentralized and dynamically evolving transaction networks, temporal-structural dependencies, limited labeled data, and information-sharing restrictions. This dissertation proposes a …

Toward Secure Genomic Intelligence: Privacy-Preserving Deep Learning Frameworks For Cancer Classification And Collaborative Analysis, Yibo Dong

Theses and Dissertations

Genomic data contains highly sensitive personal information, yet cancer classification and collaborative medical research increasingly depend on sharing such data across institutions. Existing privacy-preserving approaches for deep learning, including differential privacy (DP) and standard federated learning (FL), leave critical vulnerabilities: DP degrades model utility through noise injection, while FL relies on a trusted aggregation server that remains susceptible to gradient-based attacks. This dissertation develops, evaluates, and optimizes a series of privacy-preserving deep learning frameworks specifically designed for genomic cancer classification. First, a systematic benchmarking study evaluates DP, FL, and fully homomorphic encryption (FHE) across three deep learning architectures (fully connected …

Engineering Education Beyond The Engineering Classroom: Three Studies On Behavioral Nudges, General Education Completion, And Honors Program Participation, Andrew Harrison Volk

Theses and Dissertations

Engineering education extends well beyond the engineering classroom. Engineering undergraduates progress through general education courses, institutional support structures, and enrichment opportunities operating outside their major. The administrative offices that shape these non-engineering experiences typically operate independently of engineering departments, and the structural decisions they make can shape the engineering student's experience without engineering's input. This dissertation examines three settings in which decisions outside engineering matter for engineering students. Study 1 reports a PRISMA-format systematic review of nudge interventions in higher education, developing a four-category typology of nudge types (informational, environmental, process-oriented, and in-name-only) and a six-category typology of application domains. …

Simulating Wind-Induced Temporal Variability In Gnss Transmissometry Via Coherent Bistatic Scattering, Brantley Allen Forrest

Theses and Dissertations

Global Navigation Satellite System Transmissometry is a technique for forest remote sensing. Interpreting these measurements requires physically based models to relate observed signal behavior to underlying biophysical parameters. A limitation of current electromagnetic modeling approaches is the assumption that vegetation optical depth is static. In practice, forest canopies, and therefore vegetation optical depth, are dynamic systems continuously influenced by wind. These geometric changes alter the scattering environment and introduce temporal variability in the received signal, particularly through phase-sensitive multipath interactions. This thesis presents a methodology for simulating wind dynamics for first-order scattering. The approach integrates a procedural, stochastic aeroelastic wind …

Enhancing Levee Resilience With Biopolymers To Reduce Erosion And Improve Overtopping Performance, Ethan Tyler Vroman

Theses and Dissertations

Levee breaches from overtopping erosion present a significant flood risk across the US. Biopolymers have been proposed as a soil-stabilization method for embankments to improve slope stability and mitigate erosion. This study evaluates the technical and economic efficacy of two biopolymers, Rhizobium tropici (RT) and Xanthan gum (XG). Silt treated with 1% biopolymer was subjected to five wetting-drying cycles to assess erosion performance and durability. Laboratory testing revealed significant, temporary improvements to mechanical properties. Compared to untreated soil, RT and XG treatments increased critical shear stress by nearly one order of magnitude and more than an order of magnitude, respectively, …

The Impact Of Interactive Digital Tools On Students’ Engagement And Learning Outcomes In Economics, Ashram Ramgarib

Theses and Dissertations

This study examined how the integration of digital tools in a constructivist framework improved student learning outcomes and learning engagement in the 12th-grade economics class. The quasi-experimental design was used. Sixty participants took part in the study. Five research questions guided the study. Data collection involved administering a pretest, a posttest, and a survey questionnaire. However, the survey questionnaire was administered only to the quasi-experimental group. Data analysis included calculating percentages, means, standard deviations, t-tests, correlations, and ANOVA. The findings showed that the quasi-experimental group outperformed the control group. The results revealed that 63% of the students in the quasi-experimental …

Integration Of Artificial Intelligence And Extended Reality: Process, Implementation, Assessment, And Adoption, Amirarash Kashef

Theses and Dissertations

The integration of Artificial Intelligence (AI) and Extended Reality (XR) represents a transformative frontier in human–computer interaction, offering the potential for adaptive, intelligent, and immersive systems. Despite recent advances, the mechanisms of effective AI-XR integration, methods for practical implementation, approaches for systematic assessment, and pathways for adoption remain underexplored. This dissertation addresses these gaps by developing a conceptual framework for AI-XR integration and validating it through applied studies across safety, healthcare, and behavioral domains. The work establishes a taxonomy of AI algorithms, XR modalities, and sensor ecosystems. Empirical evaluations demonstrate the feasibility and effectiveness of AI-XR systems, including real-time monitoring …

Thermomechanical Characterization And Modeling Of An Smp-Epoxy Composite For Deployable Space Structures, Ap Anshuman Behera

Theses and Dissertations

Deployable space structures can be stowed in a compact form and later allowed to their operational shape. Carbon fiber reinforced polymer (CFRP) composites have been utilized as a material candidate due to their increased strength-to-weight ratio and tailored performance. Current challenges associated with CFRP composites are driven by the viscoelastic nature of the polymer matrix causing long-term stowage effects and deployment issues such as shape deformation and incomplete recovery. In this study, a shape memory polymer (SMP) is presented as a potential option in mitigating these issues. An epoxy SMP is synthesized and experimentally characterized and its performance in the …

Intensification Of Thermal Energy Storage Systems Based On Sodium Nitrate, Hari Suthan V Mr

Theses and Dissertations

Thermal energy storage (TES) systems employing phase change materials (PCM) bridge the gap between thermal energy demand and supply. The low thermal conductivity of sodium nitrate (NaNO3), an inorganic PCM for high-temperature TES systems restricts charging and discharging kinetics, reducing system-level performance. This thesis investigates the intensification of sodium nitrate-based thermal energy storage systems through the incorporation of different classes of additives. Metal oxides (zinc oxide and aluminium oxide) and carbon-based materials (graphene oxide (GO) and expanded graphite (EG)), were incorporated into NaNO3 to improve its thermophysical properties (thermal conductivity, latent heat, specific heat).

Composites were prepared using low-energy ball …

Automated Classification, Measurement, And Semantic Segmentation Of Open-Web Joists From Point Cloud Data, Justin Raymond Dworacek

Theses and Dissertations

This thesis presents a BIM-oriented methodology for the automated classification, measurement, and segmentation of structural trusses from point cloud data. A real truss point cloud and a complementary synthetic dataset derived from CADBIM Revit families were used to develop and evaluate the workflow. Classification was performed using a rule-based Python algorithm based on principal component analysis, side-view feature extraction, and family-specific geometric decision logic, while a separate family-aware script was used to extract key truss dimensions. Semantic segmentation was evaluated using a PointTransformerV3 model to separate truss and non-truss points in mixed point cloud scenes. The results demonstrated strong performance …

A Graphical Approach To Isospectral Unfoldings, Dallin Seyfried

Theses and Dissertations

Isospectral reductions are mathematical techniques used to shrink a matrix, or a graph, into a smaller, dimensionally reduced form while preserving its spectrum. Simple graphs that share isospectral reductions also share quantum walk properties. As such we further develop the inverse process, isospectral unfoldings, to find graphs that share isospectral reductions. We first prove many conditions relating to isospectral reductions and unfoldings. Afterwards, we define two new unfolding processes: general unfolding which unfolds the graph one vertex at a time, and equitable partition unfolding which excels at larger graph unfolding. In particular, through equitable partition unfolding, we discover many graphs …

Surface-Modified Zinc Oxide Nanostructures For Ammonia Detection, Gowri Shonali N Ms

Theses and Dissertations

The escalating demand for sustainable gas sensors with low-ppm detection has driven research on surface-engineered nanomaterials for portable air-quality and health screening. This thesis focuses on the fabrication of nanostructured ZnO films as chemiresistive sensors for NH3 detection at RT. This study investigates surface modification using GO, rGO, g-C3N4, Ti3C2Tx; (Se, and Te) ink using a drop casting technique over DC-sputtered ZnO films. Surface modification plays a vital role by providing plenty of active sites, enhancing defective oxygen vacancy, facilitating charge transfer, and synergistic interaction between adsorbed oxygen species to enhance the sensing performance at RT. Among them trGO/ZnO hybrid …

College Sports Clubs: Engines Of Emotional And Social Development, Robert Robinson

Theses and Dissertations

This thesis examines the relationship between structured campus involvement and the development of campus connectedness among students at Rowan University. While the transition to university life is a critical period marked by social, emotional, and academic adjustments, this study highlights how sport clubs serve as a primary social anchor to facilitate successful integration. Utilizing a qualitative thematic analysis of focus group data across diverse campus organizations, this research clarifies how these spaces foster identity formation and resilience. Findings reveal that participation in sport clubs significantly enhances student wellbeing by providing support networks that mitigate early feelings of isolation. A key …

Comparing Principal Component Analysis And Sequential Fusion Deeponet With Varying Dataset Size For Design Space Exploration Of Hypersonic Flow, J. Dallan Trentman

Theses and Dissertations

Design space exploration and optimization of hypersonic vehicles is costly due to the difficulty of producing high fidelity CFD simulations in the hypersonic domain. Reduced order modeling can allow for design optimization at a fraction of the computational cost. This paper investigates the amount of training data required to produce an accurate Reduced Order Model. A PCA based ROM is developed and compared to a Sequential Fusion DeepONet by comparing model prediction accuracy, training time, and prediction time, across dataset sizes from 25 samples to 1024 samples. These models are applied to 2D hypersonic CFD simulations of the Orion reentry …

Resonant Shock Plate Simulation And Prediction Using Modal Substructuring, Harrison C. Denning

Theses and Dissertations

Aerospace structures such as rockets can experience various shock events during flight, such as stage separation or impacts. These shock events can expose components inside the rocket to large accelerations and stresses which in turn can damage the parts. Shocks are often simulated in the lab using a resonant shock plate test. Resonant shock plate testing is often used to qualify aerospace parts, as it can mimic the shocks experienced during launch and stage separations. However, during the course of development, both the definition of the shock environment and the design of the subcomponent tend to change, so that multiple …

Rfsoc Based Ground Penetrating Radar For Detection And Avoidance Of Underground Utilities, Brady Bowerbank

Theses and Dissertations

Preexisting underground utilities present a considerable danger to underground boring projects. Gas and electrical lines can be damaged, leading to major economic impact and even loss of life. While maps of underground utilities exist, they are not always accurate and gas and electrical lines can shift over time, necessitating tools to accurately detect utilities so that crews can steer the machines away from any possible danger. In this thesis, the design of a new frequency-modulated continuous-wave (FMCW) ground penetrating radar (GPR) is outlined. The design of a lightweight, flexible radar is demonstrated using the CASPER FPGA framework with an operating …

Isoperimetric Soft Robots, Mihai Stanciu

Theses and Dissertations

This thesis presents two advances in isoperimetric soft robotic trusses that improve their performance, modularity, and configurability. The first contribution introduces a large-scale modular robotic truss designed as a lightweight, reconfigurable structure for lunar applications. The system consists of inflatable fabric tubes routed through motorized roller units and interconnected by a newly developed spherical joint that enables multiple robotic triangles to connect at a common vertex. The resulting truss can be assembled into structures beyond a single octahedron while retaining compact stowage when deflated and untethered operation after initial inflation. Experimental validation demonstrates modular assembly, long-term pressure retention, load-bearing capabilities …