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From Miocene Origins To Ecological Diversification: Unraveling Evolutionary Dynamics Of North American Asters (Symphyotrichum), Sushil Dahal
From Miocene Origins To Ecological Diversification: Unraveling Evolutionary Dynamics Of North American Asters (Symphyotrichum), Sushil Dahal
Theses and Dissertations
Symphyotrichum, a plant genus traditionally treated within the genus Aster L., comprises >100 species of annual or perennial plants in the Compositae family Asteraceae. One of the most diverse genera in the southeastern US flora, the genus extends across the Americas, the Caribbean as well as eastern Eurasia. Despite its presence across the major American biomes and with distinctive floristic characteristics, several question regarding Symphyotrichum remains obscure. This research project focuses on exploring diverse aspects of Symphyotrichum systematics, biogeography and evolution. I tested three main hypotheses: (1a) Symphyotrichum originated ancestrally across Mexico and eastern North America in the Miocene ( …
British Subjects "Of Ye Jewish Religion": The Negotiated Identities Of The Levy-Franks Family, Laura Miriam Drake
British Subjects "Of Ye Jewish Religion": The Negotiated Identities Of The Levy-Franks Family, Laura Miriam Drake
Theses and Dissertations
Through a series of determined choices over sixty-five years, the Levy-Franks family blended their religious identity as Jews with their claimed British socio-political identity to achieve economic success in eighteenth-century colonial New York. Through colonial records, newspapers, legal petitions, portraits and, most significantly, the letters of Abigaill Levy Franks, this dissertation examines the family’s actions taken to create a blended identity, despite the potential threat that their participation in the broader British Atlantic world posed to their religious selves. During a time in British history when religious identities were at the forefront of political debate, the Levy-Franks family created a …
Evaluation And Mitigation Of Bias And Toxicity In Open-Source Large Language Models Using Crows-Pairs And Bold, Sai Harika Gade
Evaluation And Mitigation Of Bias And Toxicity In Open-Source Large Language Models Using Crows-Pairs And Bold, Sai Harika Gade
Theses and Dissertations
This thesis evaluates bias and harmful language generation in five open-source language models and tests practical mitigation methods that do not require retraining. Two masked models are assessed with a sentence-pair benchmark for stereotype preference, and three generative models are assessed with a prompt-based benchmark for harmful continuations across demographic domains. The study uses a unified experimental workflow to compare model behavior, summarize differences across bias categories, and measure changes after intervention. Results show that the masked models favor stereotypical content above a random baseline, while the generative models usually produce low average toxicity but still show uneven risk across …
Assessment Of Energy And Hydration Demands Of Farm Workers In Mississippi, Mckenzie Lynne Hargrove
Assessment Of Energy And Hydration Demands Of Farm Workers In Mississippi, Mckenzie Lynne Hargrove
Theses and Dissertations
The agricultural community in Mississippi is critical to the state’s economy and the health of its communities. Farm workers meet these needs by performing highly demanding work with long hours of labor, limited resources, and stressful environmental conditions. The purpose of this investigation was to examine and measure indicators of physiological and behavioral adaptations to the heat such as whole body sweat rate (WBSR), sweat sodium (Na+) content, urine specific gravity (USG), and fluid intake, as well as determine total daily energy expenditure (TEE) and water influx (rH2O) via the doubly labeled water technique (DLW) in farm workers during the …
Investigating Teacher Cognition Of Teaching Spatial Thinking Among Middle And High School Stem Teachers: A Knowledge, Belief, And Attitude Perspective, Jonathan Grant Harris
Investigating Teacher Cognition Of Teaching Spatial Thinking Among Middle And High School Stem Teachers: A Knowledge, Belief, And Attitude Perspective, Jonathan Grant Harris
Theses and Dissertations
Spatial thinking is a critical cognitive ability that supports learning and problem solving across science, technology, engineering, and mathematics (STEM) disciplines. Despite extensive research highlighting the importance of spatial thinking in STEM achievement and career success, limited research has examined STEM teachers’ cognition of spatial thinking or developed instruments to measure it. The purpose of this study was to investigate middle and high school STEM teachers’ cognition of spatial thinking, including their perceived pedagogical content knowledge (PCK) of spatial thinking, self-efficacy beliefs about teaching spatial thinking, and attitudes toward spatial thinking as a critical component of STEM learning and achievement. …
Developing And Evaluating U.S. Army Bridging For Ship Simulation, Jacob C. Hodges
Developing And Evaluating U.S. Army Bridging For Ship Simulation, Jacob C. Hodges
Theses and Dissertations
This research investigates the intricacies of ship simulation and developmental processes for integrating wet gap crossing capabilities into a simulated environment. The US Army Mark III Bridge Erection Boat (BEB) and Improved Ribbon Bridge (IRB) were modeled in commercial off the shelf (COTS) and Government Co-Owned (GCO) navigation software suites to determine their performance capabilities and limitations. Each model was constructed using naval architecture concepts to accurately capture their hydrostatic and hydrodynamic effects before being validated against available performance data and expert elicitation from expert US Army watercraft operators. Models were configured and tested in simulated river flows with current …
Exclusionary Disciplinary Composition Outcomes: Schools With High African American Enrollments And Schools With Low African American Enrollments, Darrell A. Jones
Exclusionary Disciplinary Composition Outcomes: Schools With High African American Enrollments And Schools With Low African American Enrollments, Darrell A. Jones
Theses and Dissertations
Racial disparities in exclusionary disciplinary outcomes remain consistently documented across United States public schools, with African American (AA) students disproportionately represented in in-school suspension (ISS) and out-of-school suspension (OSS) outcomes. The purpose of this quantitative comparative study was to examine whether statistically significant differences existed between (a) the percentage of students receiving ISS who were AA and (b) the percentage of students receiving OSS who were AA in selected Mississippi public high schools with high AA enrollment (≥70%) and low AA enrollment (≤30%) during the 2022–2023 and 2023–2024 academic years. The study utilized archival, publicly available, school-level discipline and enrollment …
Accelerating Defensive Cyber Operations Via Unsupervised Log Clustering And Automated Regex Template Synthesis, Charles Matthew Jones
Accelerating Defensive Cyber Operations Via Unsupervised Log Clustering And Automated Regex Template Synthesis, Charles Matthew Jones
Theses and Dissertations
Modern Security Operations Centers (SOCs) ingest millions of log entries per day, but manual parsing does not scale to the volume, heterogeneity, and rapid evolution of log formats. This dissertation investigates whether unsupervised clustering can automate the generation of candidate field-extraction templates while remaining deployable in production and feasible under realistic runtime and memory constraints. The central research question asks whether a machine-learning-assisted pipeline that proposes extraction templates for security engineer review—relative to reproducible human-authored baselines such as hand-written regular expressions—can measurably improve rule-set deployability and corpus-scale extraction quality. Improvement is quantified using four applicability metrics: Coverage Rate (CR), Exclusive …
A Pedagogically Effective Conceptual Framework For The Resilience Of Unit Test Suites To Refactoring, Daniel Paul Knight
A Pedagogically Effective Conceptual Framework For The Resilience Of Unit Test Suites To Refactoring, Daniel Paul Knight
Theses and Dissertations
Unit test suites are intended to support safe and efficient source code refactoring, yet in practice they can hinder rather than help when tests are tightly coupled to implementation details. Such non-resilient tests require frequent co-evolution, consume valuable engineering time, and may disincentivize beneficial code improvements. While concepts such as passive and active resilience, test smells, and technical debt have been studied individually, they have not been integrated into a single actionable framework, nor has their pedagogical value been systematically evaluated. This dissertation introduces a novel conceptual framework for the resilience of unit test suites to refactoring, grounded in resilience …
Low-Dimensional Metal Halides For Light-Emitting Diodes (Leds): Photophysical Aspects And Device Engineering, Udara Madushanka Kuruppu Kuruppu Achchige Don
Low-Dimensional Metal Halides For Light-Emitting Diodes (Leds): Photophysical Aspects And Device Engineering, Udara Madushanka Kuruppu Kuruppu Achchige Don
Theses and Dissertations
In recent years, low-dimensional metal halides have garnered significant interest due to their exceptional optical properties. This dissertation focuses on the structural, optical, and photophysical properties of both lead-based and lead-free low-dimensional metal halides and investigates their applications in light-emitting diodes. In Chapter II, the nature of Mn2+ doping in two-dimensional (2D) lead halide perovskites is discussed. 2D perovskites show strong excitonic and dielectric confinement due to their quantum well structures. Introducing optically active Mn²⁺ dopant ions into these 2D perovskites further enhances their optical properties and promotes energy transfer from the host to the Mn²⁺ dopants, resulting in dual …
Assessment Of Local Ecological Knowledge, Oyster Predation, And Habitat Function To Improve Management Of Nearshore Habitats, Cynthia Evelyn Marie Lupton
Assessment Of Local Ecological Knowledge, Oyster Predation, And Habitat Function To Improve Management Of Nearshore Habitats, Cynthia Evelyn Marie Lupton
Theses and Dissertations
Coastal ecosystems along the northern Gulf of Mexico are ecologically and economically vital yet increasingly threatened by environmental change, habitat degradation, and knowledge gaps that complicate restoration and management efforts. This dissertation integrates social and ecological approaches to improve understanding of predator dynamics, stakeholder perceptions, and habitat function related to nearshore habitats. Thereby, providing information that can inform adaptive management and restoration in the region through addressing three overarching objectives: 1) evaluate stakeholder perceptions of oyster (Crassostrea virginica) predation and management practices; 2) quantify environmental and habitat factors influencing oyster drill (Stramonita haemastoma complex) abundance; and, 3) assess the influence …
Body Swaps, Prophetic Dreams, And The Angel Of Destruction: Agency And Narration In Mary Shelley’S Short Stories And Revisions To Frankenstein, Meg Mcdougal
Theses and Dissertations
This thesis investigates Mary Shelley’s later bibliography, focusing on several of her short stories published around the 1831 revisions to Frankenstein. This study investigates Shelley’s techniques to present the agency of each of her protagonists through various techniques of narration, including points of view, methods of storytelling, and usage of voice. Comparing three of Shelley’s short stories creates a throughline of agency and narration in tandem with the presence of the supernatural, and this throughline can be found exclusively in the 1831 edition of Frankenstein. Through this examination, Shelley’s later edition of her most famous work can be looked at …
Investigating Semantic Categorization Using Fast Periodic Visual Stimulation, Zack Murphy
Investigating Semantic Categorization Using Fast Periodic Visual Stimulation, Zack Murphy
Theses and Dissertations
Fast periodic visual stimulation (FPVS) with EEG provides a rapid method for isolating both higher-order and lower-order cognitive responses, an advantage that could prove useful in future research into higher order cognitive tasks. This thesis tested whether a semantic categorization response could be reliably differentiated from a low-level color response. EEG data were collected while 33 young adults viewed image sequences of fruits and vegetables of varying colors across five experimental conditions that compared color and semantic categorization responses. Frequency domain analysis revealed that color responses were much stronger and localized to the Left Occipito-Temporal (LOT) region of interest (ROI) …
Improving And Supporting Flight Instructor’S Decisions For First Solo, Isabella Piasecki
Improving And Supporting Flight Instructor’S Decisions For First Solo, Isabella Piasecki
Theses and Dissertations
Flight instructors have the burden of determining when a student is ready for their first solo flight, and many have expressed uncertainty over their own decision-making skills during this phase of a student’s training. Prior studies have examined flight instructors’ pre-solo decisions in other countries, but no such study has been conducted with American flight instructors. For this study, current flight instructors with multiple prior endorsements for a student pilot’s first solo were interviewed to identify the more abstract concepts they use to guide their decision. Qualitative themes were identified from their experiences. Using this information, a checklist was developed …
Characterizing The Microbial Structure And Function In Black Soldier Fly Digested Dairy Manure And Subsequent Larvae, Branden N. Pierce
Characterizing The Microbial Structure And Function In Black Soldier Fly Digested Dairy Manure And Subsequent Larvae, Branden N. Pierce
Theses and Dissertations
This work examined the microbial structure and gene expression found in Black Soldier Fly larval guts and their frass when reared on dairy cattle manure that had been amended with either R. rhodococcus 21198, P. polymyxa 8158, or both and compare the results to larvae reared on untreated manure. First an overview of literature surrounding projected global food supplies and the possible use of insects to either increase them or mitigate the environmental effect of producing said supply. A cellulose degradation assay was performed to assist in determining which bacterial species to use as amendments. Characterization of the microbial communities …
Attentional Prioritization And Refreshing As Pathways To Long-Term Memory Formation, Pouria Rahgosha
Attentional Prioritization And Refreshing As Pathways To Long-Term Memory Formation, Pouria Rahgosha
Theses and Dissertations
Attention regulates which information in working memory becomes stabilized in long-term memory. Two candidate mechanisms are attentional prioritization and attentional refreshing. Although both reliably benefit working memory, their contribution to long-term memory remains unclear. Two experiments examined this issue using an associative memory paradigm in which participants encoded image-keypress pairs, maintained them under varying conditions, and completed both working memory and unexpected cued-recall tests. Experiment 1 manipulated refreshing indirectly by varying attentional load during maintenance, whereas Experiment 2 contrasted implicit and explicitly cued refreshing. Across both experiments, prioritization consistently improved working memory performance. However, prioritization benefited long-term memory only when …
Development And Evaluation Of A Closed-Loop Controlled Ugv With Rtk-Gps Navigation For Plastic Contamination Removal From Cotton Fields, Asifur Rahman
Development And Evaluation Of A Closed-Loop Controlled Ugv With Rtk-Gps Navigation For Plastic Contamination Removal From Cotton Fields, Asifur Rahman
Theses and Dissertations
Plastic contamination in cotton reduces fiber quality, causing an estimated $600 to $750 losses annually for the U.S. cotton industry. This work developed an RTK-GNSS-based UGV navigation for a collaborative UAV-UGV plastic retrieval system. An Amiga rover was adopted and modified, and a closed-loop PD steering control based on cross-track and heading error was developed and deployed in it. The first set of tests was conducted on a 111 m A-B line on a flat lane based on ASABE/ISO 12188-2 guidelines, then repeated in a cotton field. The P50 and P95, and max cross-track errors were about 1, 5, and …
Evaluation Of Soybean (Glycine Max (L.) Merr.) Response Following Simulated Damage, Brittany Rhea
Evaluation Of Soybean (Glycine Max (L.) Merr.) Response Following Simulated Damage, Brittany Rhea
Theses and Dissertations
Deer damage to row crops has been an ongoing issue in the state of Mississippi, and hail damage can be catastrophic. The objective of this research was to evaluate soybean response following simulated deer and hail damage at specific growth stages and damage levels. Soybean yield response to deer damage indicates the singular feedings of 75 % results in a loss of up to 2688.32 kg ha-1 in most scenarios, and continual feeding at the 50 % level leads to a yield reduction of up to 2168.81 kg ha-1 in all scenarios. Hail damage at V3 and R1 growth stages …
Evaluating The Spatial Relationship Between Geomorphology And Subsurface Structures On The Us Atlantic Margin With Applications To Other Terrestrial Planets, Andrea Caitlyn Stiles
Evaluating The Spatial Relationship Between Geomorphology And Subsurface Structures On The Us Atlantic Margin With Applications To Other Terrestrial Planets, Andrea Caitlyn Stiles
Theses and Dissertations
High-resolution digital elevation models (DEMs) are widely available for terrestrial planetary bodies, but subsurface structural data remain limited. This research evaluated whether surface geomorphology could predict subsurface features, specifically faults and methane seeps, along the US Atlantic continental margin as an analog site. Faults were mapped with seismic interpretation and compared with quantitative geomorphic classifications derived from 100-m bathymetry including slope, aspect, rugosity, bathymetric position index, and geomorphon classes. Maximum-entropy modelling was used to predict fault occurrences from surface data. Results indicated that specific geomorphic landforms and slopes had the strongest control on fault presence, reflected in topographic expression of …
Liposomal Bupivacaine Caudal Epidural In Horses Results In Adverse Effects Without Analgesia, Christopher Stokes
Liposomal Bupivacaine Caudal Epidural In Horses Results In Adverse Effects Without Analgesia, Christopher Stokes
Theses and Dissertations
Liposomal bupivacaine (10 mL; 1.3%) was administered into the caudal epidural space via an indwelling epidural catheter. Mechanical nociceptive threshold (MNT) testing with pressure algometry was used to measure analgesia at 4 anatomic locations for 72 hours following injection. Physical examinations were performed and ataxia scores recorded every 4 h to monitor for adverse effects, and fecal and urine output were recorded. There were no significant differences at any time point in rectal temperature, heart rate, respiratory rate, or MNT at any anatomic site compared to baseline. Ataxia scores were significantly elevated from 24 to 36 h following epidural injection. …
Improving 3d Object Compression For Machine Learning Applications, Ander James-Rush Talley
Improving 3d Object Compression For Machine Learning Applications, Ander James-Rush Talley
Theses and Dissertations
To alleviate the computational restraints inherent in 3D Deep Learning tasks, we propose a data compression method based on existing voxelization techniques. We analyze this technique through tests of structural similarity, speed, and machine learning application. In order to appropriately test its performance for machine learning tasks, we also propose an efficient method of training Convolutional Neural Networks by utilizing binary bit data as an input for a multiclass classification problem. Our current findings show that these two contributions have potential to aid the state of the art in handling large data in 3D AI/ML tasks, both in the space …
Students’ College Choice: Factors Influencing The Decision To Attend A Particular College, Miss Thompson Gordon
Students’ College Choice: Factors Influencing The Decision To Attend A Particular College, Miss Thompson Gordon
Theses and Dissertations
Community colleges play a vital role in expanding access to higher education by offering affordable and flexible opportunities for diverse learners, including many who face academic and socioeconomic challenges. This qualitative phenomenological study examined the factors that influence high school seniors' decisions to attend a particular college. Guided by Hossler and Gallagher's (1987) three-stage college choice model of predisposition, search, and choice, the research explored how students gather information; the influence of family, peers, and school personnel; and the importance of college characteristics such as cost, location, and campus environment. Data were collected through semi-structured interviews with ten high school …
Agentic Synthetic Data Generation For Automated Model Development, Frederick Eugene Diehl
Agentic Synthetic Data Generation For Automated Model Development, Frederick Eugene Diehl
Theses and Dissertations
Large Language Model research has made large strides in capabilities from sentiment analysis to writing code. These advancements have been realized thanks to research into specific capabilities such as prompting techniques. Language models today have demonstrated the ability to create content, transform, and classify. These capabilities are not limited to academic exploration but also found in commercial products that are positioning themselves from application augmentation to personal assistants. These commercial products tend to steer towards single actions such as “summarize this article” or “write a function that performs action...” In parallel research has continued to advance towards more advanced constructs …
A Study & Comparison Of Lift Boosters For An Unmanned Aerial Vehicle, Trevor Sean Dady
A Study & Comparison Of Lift Boosters For An Unmanned Aerial Vehicle, Trevor Sean Dady
Theses and Dissertations
Unmanned aerial vehicles are becoming increasingly prevalent in modern society for tasks, such as package delivery, defense, and cinematography. Due to this surge in applications, many researchers have begun to search for improvements to unmanned aerial vehicles for their lift and thrust properties. Potential solutions to magnify an unmanned aerial vehicle’s thrust capability are the implementation of Coanda surfaces, nozzles, or bowl-shaped structures on each propeller. Coanda surfaces provide additional lift force by creating a vacuum in response to the adhesion of fluid to the smooth surface. Nozzles can constrict the flow of air, while also increasing its velocity. The …
A Governance-Aware Multi-Agent Framework For Enhancing Fairness & Temporal Accuracy In Disaster Response Systems, Md. Ashfaqur Rahman
A Governance-Aware Multi-Agent Framework For Enhancing Fairness & Temporal Accuracy In Disaster Response Systems, Md. Ashfaqur Rahman
Theses and Dissertations
Large Language Models (LLMs) have demonstrated significant potential in disaster-response decision support, however, their deployment in high-stakes humanitarian settings raises critical concerns regarding factual reliability, fairness, temporal validity, and governance compliance. Hallucinated outputs, demographic bias, and outdated recommendations can directly impact vulnerable populations and undermine public trust. This dissertation proposes a governance-aware multi-agent framework designed to enhance fairness and temporal accuracy in disaster-response systems through structured Retrieval-Augmented Generation (RAG), verification-driven orchestration, and adaptive correction mechanisms.The proposed architecture decomposes response generation into specialized agents responsible for real-time retrieval, fact-checking, bias auditing, temporal validation, threshold-based correction, and monitoring. By embedding governance constraints …
“Am I Truly Getting Prepared To Be A Good Teacher?”: Pre-Service Teachers’ Barriers In The Absence Of An Education Living Learning Community (Llc), Daisy Garcia
Theses and Dissertations
“A teacher is an important element of an education system because the impact of the teachers on the students and education programs is known much higher than other elements” (Kadi et al., 2015, p. 1). This study seeks to further understanding of the challenges pre-service teacher experience through their collegiate careers, and how institutions can implement resources such as Living-learning communities in their college campus residence halls to support their students and contribute to the long-term success of teachers post college. A quantitative study was done surveying pre-service teachers at Rowan University to gather knowledge about their different experiences with …
Small Businesses: A Comprehensive Investigation Into Data Quality's Impact On Security, Privacy, And Governance, Deveeshree Nayak
Small Businesses: A Comprehensive Investigation Into Data Quality's Impact On Security, Privacy, And Governance, Deveeshree Nayak
Theses and Dissertations
This dissertation investigates the extent to which deficiencies in data quality, specifically accuracy, completeness, consistency, timeliness, validity, and uniqueness, undermine data security, privacy compliance, and governance effectiveness in small businesses (fewer than 200 employees and annual revenues under $10 million) in Washington State. Although data are increasingly viewed as a strategic asset, empirical research on how poor data quality amplifies cyber risks and regulatory exposure in resource-constrained environments remains limited. A convergent mixed-methods design was employed. A purposive survey captured practitioner perceptions from nine small-business professionals regarding the impact of data quality on security (CIA triad), privacy (accuracy and transparency …
Reflective Telemetry Replay For Performance Analysis In Extended Reality, Atit Kharel
Reflective Telemetry Replay For Performance Analysis In Extended Reality, Atit Kharel
Theses and Dissertations
Extended Reality (XR) environments are increasingly used for training, simulation, and skill development. However, conventional feedback mechanisms such as summary performance scores or first-person video recordings often lack the spatial and contextual detail necessary to support effective reflective learning. As a result, users may observe what occurred during an immersive task without fully understanding how their movement strategies and navigation decisions influenced performance outcomes. This work presents DataEcho, a telemetry-driven replay framework designed to capture, store, and reconstruct structured XR session data for interactive performance review and behavioral analysis. The system records frame-level telemetry from Unity-based XR applications, including object …
Automated Evaluation Of Web Accessibility In Cybersecurity Tools, William Robert Cox
Automated Evaluation Of Web Accessibility In Cybersecurity Tools, William Robert Cox
Theses and Dissertations
Screen reader users face significant barriers when using web-based cybersecurity tools, however, the accessibility of these interfaces has received minimal systematic research attention. Existing automated evaluation tools assess Web Content Accessibility Guidelines (WCAG) conformance but do not measure the practical operability of complex and domain-specific interfaces for users of assistive technology. This dissertation presents the Deciphering Interfaces for Your Accessibility (DIYA) framework, an open-source automated auditing framework that evaluates cybersecurity tool web interfaces across eight normalized dimensions: WCAG conformance, Accessible Rich Internet Applications (ARIA) usage, semantic structure, keyboard operability, form accessibility, dynamic content accessibility, interaction cost, and screen reader readiness. …
Examining Data Quality Management Practices In Light Of The Adoption Of Llms And Genai: Closing The Gap Between Iq Theory And Iq Practice, Venant Habamungu
Examining Data Quality Management Practices In Light Of The Adoption Of Llms And Genai: Closing The Gap Between Iq Theory And Iq Practice, Venant Habamungu
Theses and Dissertations
The rapid adoption of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) has intensified longstanding data quality concerns while exposing important gaps in current Data Quality Management (DQM) practice. This dissertation examines whether widely used DQM frameworks sufficiently address semantic data quality dimensions that are critical for trustworthy GenAI and LLM applications. Guided by Information Quality (IQ) theory, particularly the Wang and Strong conceptualization of data quality, the study evaluates selected DQM frameworks used in practice to determine the extent to which they emphasize semantic dimensions such as accuracy, value-added, relevancy, objectivity, reputation, believability, security, and appropriate amount of …