Digital Commons Network^™

Zeroizing Trust In A Naïve Federated Zero Trust Environment, Keith E. Strandell

Theses and Dissertations

The position of the United States on the global stage is predicated on information dominance and the ability to project power through cooperative engagements with mission partners in both wartime and peacetime. Recent cyber-attacks highlighted the need for a more robust cybersecurity posture. As the United States progresses toward the adoption of Zero Trust, it is incumbent on the Department of Defense to assess the impact to the ability to share data across strategic partnerships while securing the data of both the United States and its partners. This paper proposes research into ensuring an environment rooted in Zero Trust and …

Synthetic Data Augmentation For Retinoblastoma Using Diffusion, Andrew Thompson

Theses and Dissertations

Many AI models rely on large and high quality datasets for optimal training. In certain cases, data can be difficult or expensive to obtain, making training difficult. Rare medical conditions are one of these cases. Datasets for retinoblastoma are severely lacking in quantity. Diffusion has been used to create synthetic data in the industrial, medical, and financial domains. By applying the latest Diffusion methods to retinoblastoma, this work seeks to improve predictive model performance on identifying retinoblastoma.

The Role Of K-12 Educators In Shaping Stem Pathways: Examining Social Capital And Self-Efficacy In Stem Education, Holly Trisch

Theses and Dissertations

This dissertation examines the impact of K-12 educators on students’ pathways in STEM (Science, Technology, Engineering, and Mathematics) by focusing on two main factors: the social capital of K-12 and elementary school teachers and the self-efficacy of preservice teachers in STEM education instruction. The first study investigates the social capital of first year engineering students, emphasizing the relationships and resources they gained during their K-12 education that influenced their decision to major in engineering. A quantitative study using survey data collected from first-year undergraduate engineering students indicates that K-12 educators play a crucial role by providing mentorship and resources that …

Estimation Of Soybean Root Traits Using Computer Vision And Deep Learning, Muhammad Usman

Theses and Dissertations

Root phenotyping provides insights into root structure, function, and response to environmental stimuli, aiding researchers in improving crop yields, developing new plant varieties, and enhancing plant health. Traditionally, measuring root traits, such as length and area, is manual, time-consuming, and resource intensive. This study introduces a deep learning-based computer vision method for soybean root segmentation and traits estimation using RGB (red, green, blue) images captured under controlled illumination. A separate web-based application was also developed that can extract the root length and area using RGB images. A diverse set of 3,363 soybean root images was collected using an in-house root …

An Updated Viscoplastic Self-Consistent Model To Capture The Effects Of Residual Stress, Microstructural Heterogeneity, And Precipitation In Cold-Sprayed Aluminum Alloys, Aulora Williams

Theses and Dissertations

Cold spray additively manufactured (CSAM) aluminum alloys exhibit heterogenous microstructures and mechanical properties, primarily due to high dislocation densities, sub-grain structures, and variation in inter-particle (intersplat) bonding arising from high-velocity particle impacts. Thermal post-processing has been shown to enhance intersplat bonding, reduce high residual stress concentrations, and lower dislocation densities, thereby improving the overall mechanical properties. Building on previous advancements with a mean-field viscoplastic self-consistent (VPSC) model, integrating intersplat boundary terms, Hall-Petch relations, and physically informed residual stress parameters, the current work extends the model to include precipitates and their effects. Observations of CSAM aluminum 7050 alloy indicate precipitate congregation …

The Teaching Experiences Of Black Women Faculty In Educator Preparation Providers Licensure Programs At Predominantly White Institutions, Tiffiney M. Atterberry

Theses and Dissertations

Understanding the experiences that Black women faculty encounter in instructional spaces of Educator Preparation Providers licensure programs (hereafter referred to as EPPs) at predominantly White institutions are important for institutional change and reform to occur. In spaces of EPPs, Black women faculty are forced to cope and deal with racialized issues such as feelings of social isolation, a lack of inclusion, acts of microaggression from students, disrespectful acts, and students challenging their knowledge and credentials. The purpose of this qualitative study was to explore how Black women faculty narrate their teaching experiences in EPPs at PWIs. The use of Collins’ …

Developing An Optimized Site Selection Model For Eastern Cottonwood In The Lower Mississippi Alluvial Valley, Quentin Boccaleri

Theses and Dissertations

Demand for bioenergy has renewed interest and opportunities for short rotation woody crop (SRWC) systems. In the Lower Mississippi Alluvial Valley (LMAV), specific attention is on the conversion of marginal agricultural sites using eastern cottonwood (Populus deltoides).Therefore, analysis is needed to determine the feasibility of afforestation within the region. This study identifies marginal agricultural lands using random forest regression methods and uses process-based Physiological Processes Predicting Growth (3PG) model to determine biomass productivity of these marginal sites. This thesis discusses the following findings: 1. A review of marginal land identified along with key identification features 2. the results of eight …

A Framework For Modular Knowledge Composition In Network Intrusion Detection Systems, Patrick L. Day

Theses and Dissertations

Autonomic Intrusion Detection Systems (AIDS) are sophisticated software systems designed to autonomously and adaptively identify and respond to security threats and intrusions in computer networks or systems. One of the fundamental challenges in intrusion detection research lies in the limited availability and scope of publicly available datasets. The proposed research aims to address data-related gaps with autonomic and traditional intrusion detection systems by describing a comprehensive approach to investigate the impact and potential of data augmentation. The goal is to explore various data augmentation techniques, assess their effectiveness in introducing variability, and evaluate their impact on the performance of neural-based …

Assessment Of Water Quality And Remediation Of Heavy Metals In A Coastal System, Christiana Fumnanya Eziashi

Theses and Dissertations

This research focuses on a three-part study to assess water quality in a coastal system and evaluate the absorption capacity of modified biochar and algae to remediate cadmium (Cd). The first chapter introduces the hypothesis and objectives, and the second chapter provides a detailed literature review. The third chapter focuses on the first study, where surface water samples and water quality data collected from a manned boat and a novel autonomous surface vessel (ASV) in the Western Mississippi Sound (WMS) in the summer of 2021 and 2022 were analyzed and the interrelationship between the nutrient, trace metals, salinity, and chlorophyll-a …

Bucket-Based Priority Queues For A* And Related Bounded-Suboptimal And Anytime Search Algorithms: Theoretical And Practical Advancements, Garrett Michael Fereday

Theses and Dissertations

For shortest-path problems with a small number of integer transition costs, it is well-known that the performance of the classic A* algorithm can be improved by using bucketing to reduce priority queue overhead—in particular, by using a bucket queue data structure for the priority queue, instead of a binary heap. This dissertation describes several theoretical and practical extensions of this approach. First, the traditional two-level bucket queue data structure is modified in simple ways to improve the worst-case complexity of its operations, which leads to the first demonstration that the priority queue operations of a two-level bucket queue for A* …

Assessment Of Pagp Gene Function In Avian Pathogenic Escherichia Coli Pathogenicity Using Different Challenge Models, Hailey Fugate

Theses and Dissertations

Avian pathogenic Escherichia coli (APEC) is a leading cause of morbidity and mortality in poultry, contributing an estimated $40 million in annual losses in the U.S. broiler industry alone, and contributing to growing concerns over antibiotic resistance. This study investigated the role of the pagP gene, which encodes a lipid A palmitoyl transferase involved in immune evasion, using both a broiler chick and embryo challenge model. Deletion of pagP significantly reduced mortality and lesion severity in broilers, indicating its role in APEC pathogenicity. However, in embryos, pagP deletion had minimal effects on survival and bacterial colonization, suggesting alternative virulence mechanisms …

How Do Tuition Benefits Affect University Staff Retention, Social Connection, And Institutional Commitment?, Lian A. Harris

Theses and Dissertations

Employee retention is costly for many companies, including colleges and universities. Tuition benefits have been shown to be helpful in recruitment and retention. This study looked at how tuition benefits used by university staff members affected turnover intentions, workplace belonging and institutional commitment. Benefits eligible university staff members, who were in primarily non-teaching roles at one rural, four-years land grant university were asked to complete an electronic survey, and 250 responses were collected. To measure the variables of interest the survey combined scale items representing each of the dependent variables; turnover intention (Bothma & Roodt, 2013), workplace belonging (Jena & …

Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi

Theses and Dissertations

The exponential rise in internet usage has precipitated a corresponding surge in cyber threats, underscoring the urgent need for advanced cybersecurity solutions. While traditional intrusion detection systems (IDS) can identify these threats, their inability to self-recover leaves systems vulnerable. Intrusion response systems (IRS) have been developed to address this, aiming to auto- matically restore systems to their desired state post-security breach. However, current IRSs often necessitate manual intervention and may not be su!ciently robust against sophisticated threats. To overcome these limitations, we propose an AI-powered Autonomic, Safe, and Interactive Intrusion Response System called ‘Intrusion Response System Digital Assistant (IRSDA)’. IRSDA …

Stakeholder Opinions On Design And Management Strategies At The Pharr Mounds Site, Lauryn Elizabeth Polito

Theses and Dissertations

The Pharr Mounds site along the Natchez Trace Parkway is a culturally significant burial location that is visited by thousands each year. This site is home to the remains of an ancient group of individuals that the current Chickasaw Nation are descended. To provide culturally sensitive management strategies, enhance visitor experience, and to analyze the perspectives of others on design solutions, a mixed-method approach including individual interviews and online surveys were used for three main stakeholder groups including members from the Chickasaw Nation, employees from the National Park service, and public site visitors. Questions addressed mound significance, site accessibility, interpretation, …

Design And Evaluation Of A 5g Testbed: Analyzing Security Solutions, Iq Sample Management, And Performance Visualization, Mohammed Saleh Shaik

Theses and Dissertations

The evolution of 5G networks has introduced new opportunities for high-speed, low-latency wireless communication, supporting a wide range of applications from industrial automation to secure data transmission. However, as 5G networks become more complex, ensuring security and maintaining optimal performance present significant challenges. This thesis explores the development of a 5G testbed using Software-Defined Radios (SDRs) and open-source platforms to analyze signal behavior, security implementations, and performance. The testbed, built with the open source srsRAN software library and widely available SDR hardware, serves as a controlled environment for studying 5G communications security features and innovations. To evaluate transmission characteristics, in-phase/quadrature …

A Fine-Tined Bert Model For Improved Querying Of The Unmanned Aerial System Integration Safety And Security Technology Ontology, Minh Hong To

Theses and Dissertations

The use of unmanned aerial vehicles (UAS) in all industries is steadily increasing every year. To govern the use of UAS, the Federal Aviation Administration (FAA) seeks to provide a foundation of rules and regulations for UAS operation in the National Airspace System (NAS). The UAS Integration Safety and Security Technology Ontology (ISSTO) was developed using the Web Ontology Language (OWL) in 2023. In 2024, a query application was developed to search ISSTO for information about the safety and security of UAS operations. While the application is functional, the search results can be further fine-tuned to match what the user …

Data In The Classroom: The Impact Of A Data-Centric, High School Program To Motivate Career Interest In Stem Fields, Tyler Stabiler

Theses and Dissertations

This dissertation proposes to analyze the importance of introducing data-centric STEM (Science, Technology, Engineering, and Mathematics) studies at the high school level. In today's digital age, the importance of studying data-centric STEM in high school cannot be overstated. This dissertation looks to discover educational capabilities of high school students in various grade levels by understanding their drive, desire, and ambitions in a different STEM course than what is currently offered at the high school. Finally, the study analyzes the students’ participation in lectures, laboratory environment, and model/simulations to identify the significance in high schools adding data-centric curriculums to their academic …

Efficient Eeg Epilepsy Classification And Feature Selections Based On Hellinger Distance, Muhammed Sadiq

Theses and Dissertations

Accurate and efficient detection of epileptic seizures from EEG signals remains a critical challenge due to high-dimensional data, class imbalance, and the limitations of standard classifiers. This thesis introduces two novel models to address these challenges. The first model presents a new classifier based on the Hellinger Distance, specifically designed to enhance discriminative capability and robustness against imbalanced datasets. By integrating the Hellinger Distance Classifier with Particle Swarm Optimization (PSO) for feature selection, this model significantly improves classification performance while reducing computational complexity. Experimental evaluations on the Bonn dataset demonstrate an accuracy of 96.25%, an F1-score of 97.74%, a recall …

The Evolution And Impact Of Blog Analysis Tools: A Study Of Blogtracker's Comprehensive Approach To Digital Discourse Analysis, Oyindamola Koleoso

Theses and Dissertations

This study presents BlogTracker, a comprehensive web-based platform designed to address the growing complexities of analyzing the modern blogosphere. We detail BlogTracker's evolution from earlier blog analysis tools, highlighting its innovative integration of features including real-time data collection, advanced content analysis, sentiment analysis, influence tracking, and narrative analysis. At the core of our contribution is a robust content extraction system that achieves 91.33% accuracy across diverse blog formats, providing a reliable foundation for all analytical functions. This extraction system effectively distinguishes between primary content and peripheral elements, ensuring high-quality inputs for downstream analysis regardless of source blog structure. The platform's …

Modeling Cross-Platform Narrative Templates: A Temporal Knowledge Graph Approach, Ridwan Amure

Theses and Dissertations

Over the past decade, social media platforms have rapidly evolved in scale, functionality, and user engagement, encouraging individuals to maintain active presences across multiple networks. This complex, interconnected ecosystem has also enabled information actors to exploit cross-platform dynamics to amplify the reach of their content and strategically target diverse audiences. Recognizing the persistence and adaptability of such actors, this research emphasizes the need for robust models that can effectively capture and analyze cross-platform narrative diffusion. To this end, we propose a framework that utilizes temporal knowledge graphs to model the evolution and relationships among narratives across platforms. We extract temporal …

Decoding Symbolic Influence On Youtube Engagement, Emotion Resonance And Trust In Information Campaigns, Diwash Poudel

Theses and Dissertations

This study examined how symbolic images in YouTube videos influences viewers’ emotions, trust, and engagement with political content online. Approximately 2,000 videos were collected and analyzed, with a focus on both thumbnails and standout frames. The findings revealed that cultural symbols were particularly effective at capturing attention and evoking strong emotional reactions—especially anger and disgust. Notably, these same symbols also enhanced viewer trust, making audiences less susceptible to misinformation. Statistical tests confirmed that these effects were consistent and significant. To ensure the validity of these results, additional analyses were conducted to assess potential biases in YouTube’s recommendation algorithm, as well …

Sustainable Process Valorization For Bioactives From Invasive Plants Environmental Burden And Their Efficacy As Antimicrobial Agents, Shamprasad Br

Theses and Dissertations

Agri-food industries produce large quantities of fruit waste which are usually discarded and one such major beverage juice waste is Citrus waste. Likewise, invasive plants like Prosopis juliflora, which is richly distributed across Tamil Nadu, are underutilized for secondary metabolites/bioactives isolation. Halophytes are another rich source of bioactives present around mangrove forests and distributed in the salt rich marshy land.

1. Separation of phenylpropanoids from the Citrus waste through solvent extraction and pH-assisted precipitation was developed. The PPCM precipitated (phenylpropanoids form Citrus medica) were analysed by HPTLC and were found to contain Rutin, Naringin, Quercetin-3-beta-glycoside, Chlorogenic acid, Ferulic acid and optimization …

Existence Of Traveling Waves In A Predator-Prey Invasion Model With Nonlocal Dispersal And Delayed Effects In Dispersal, Austin Simms

Theses and Dissertations

We investigate the existence and stability of traveling wave solutions in a predator--prey population model that incorporates both nonlocal dispersal and time-delayed interactions. The problem arises when species distributions and feeding or reproduction processes do not respond instantaneously, but rather exhibit lags in space and time. Our aim is to understand how these delays and nonlocal effects impact the wavefront speed and the eventual establishment of a predator population in previously prey-dominated regions. To accomplish this, we derive a PDE--integro--delay system from ecological considerations of prey self-regulation, predator ratio dependence, and jump-type dispersal kernels. We then employ a traveling wave …

Biogenic Synthesis Of Metallic And Bimetallic Oxide Nanoparticles For Water Treatment Applications, Gunarani G.I

Theses and Dissertations

Access to clean water is a quality-of-life indicator. The availability of clean water apart from water scarcity is marred due to contamination by heavy metals and synthetic dyes, posing a grave environmental and public health challenge. This necessitates the implementation of advanced and sustainable treatment solutions towards water remediation. This research work focusses on the fabrication and application of biogenic and chemically synthesized metallic and bimetallic nanoparticles for the efficient removal of uranium, chromium, and toxic dyes from aqueous environments. The study particularly focuses on zero-valent (C-Fe and B-Fe) and bimetallic (C-NiFe and B-NiFe) nanoparticles, evaluating their adsorption capabilities and …

E Is For Ephemera, E Rady

Theses and Dissertations

E is for Ephemera contends with an artist's role as a performer - traversing questions of identity, documentation, temporality, authority, power relations and implication of the self in response to systemic forces. Here, performances are treated as zones in which simulated scenarios sometimes offer various potential opportunities to resolve.

4 In 10 Tiktok Users Find Their ‘For You’ Page Extremely Or Very Interesting, Aashish Gadani

Theses and Dissertations

Using video supercuts, sculptural forms, and digital prints on textiles in my work, I explore how images/videos can be used to reflect on cultural and personal trends. In this paper, I discuss how the structure of software recommendation systems combines with ideas of the post-internet image and creates unintended cultural consequences.

Fountain, Sadaf Azadehfar

Theses and Dissertations

This thesis investigates the intersections of water, power, identity, and architecture through the lens of colonial and postcolonial landscapes, focusing particularly on Persian gardens and fountain sculptures. Drawing on historical, cultural, and symbolic frameworks, the study explores how water systems embody both practical and spiritual roles, positioning water as a force of control, resistance, and regeneration. Central to this work are analyses of arches and garden designs, which serve as architectural metaphors for cosmic harmony, community gathering, and contested space. Through a combination of visual analysis, historical research, and personal artistic practice—including ceramic sculptures and multimedia installations—this thesis traces the …

Assessing The Effect Of Covid-19 On Air Quality For Five Texas Metro Areas Using Daily Air Quality Index Values, Rahul Sahajpal

Theses and Dissertations

Air pollution is one of the biggest health hazards known to humans. The quality of the air that we breath is mainly determined by the level of six major air pollutants, Carbon Monoxide (CO), Nitrogen dioxide (NO₂), Particulate Matter 10 (PM 10), Particulate Matter 2.5 (PM 2.5), Sulfur dioxide (SO₂) and Ozone (O₃). The main source of these air pollutants are fossil fuels (Oil, Coal and Natural gas). Their levels in the air are reported using an Air Quality Index (AQI). Higher AQI values indicate bad air quality and vice versa. In this study …

Inherited Fervor: Maternal Archive, Maria Angela Talavera Tejeda

Theses and Dissertations

Inherited Fervor: Maternal Archive investigates the deconstruction of the non-verbal language of Catholic ecstasy rituals to develop a choreographic language. Through the piece Doves Don’t Fly at Night, it explores the expansion of dancers’ physical range, positioning the body as an archive that embodies memories and mirrors the audience’s humanity.

One Can Only Dream, Sophia V. Yacca

Theses and Dissertations

One Can Only Dream is an interactive installation in which players are invited to navigate a liminal, dream-like game, engage with a branching series of questions, and introspect upon the relationships between unconscious expression, conscious self-perception, and the inherent difficulty of depicting, sharing, and understanding subconscious thought.

Rooted in both my personal experience with a rare neurophysiological condition and in my desire to create, this project examines dreams not only as a medical and cultural phenomenon, but also as a means to form identity, reflect trauma, and inspire creativity. Drawing from modern interactive storytelling and my lived experiences, this work …