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Studying Causal Inferences For Student Success In Higher Education, Prabesh Shrestha
Studying Causal Inferences For Student Success In Higher Education, Prabesh Shrestha
Theses and Dissertations
Higher education institutions strive to support students in achieving their academic goals through targeted interventions and data-driven strategies. This study analyzed 19 variables, spanning student demographics, enrollment patterns, and institutional interventions, to identify predictors of students completing all enrolled courses in a semester. Using random forest, logistic regression, and bootstrap forest models, we assessed variable importance and derived causal estimates to determine their impact. Results from causal analysis indicate positive effects from session type, term load, referrals, kudos, flags, and scholarships, while negative impacts were associated with location, course delivery method, enrollment status, advisor contact, and registration interval. These findings …
Achieving More Accurate And Interpretable Fraud Detection With Double Machine Learning, Jeremy Andrew Berry
Achieving More Accurate And Interpretable Fraud Detection With Double Machine Learning, Jeremy Andrew Berry
Theses and Dissertations
Fraud detection remains a critical challenge across industries such as insurance, healthcare, finance, and government. Global losses from fraud and financial crime are estimated in the trillions annually, including billions in healthcare and insurance fraud alone. While effective for prediction, traditional machine learning methods often lack causal interpretability and struggle to adapt to evolving fraud tactics. This dissertation investigates the application of Double Machine Learning (DML), an emerging causal inference technique, to enhance both the accuracy and interpretability of fraud analytics. The research compares DML against established causal inference approaches, leveraging a meta-learning framework to evaluate model performance on accuracy, …
Measuring And Modeling Nonlinear Vibrations In Structures With Mechanical Joints, Suzanna Gilbert
Measuring And Modeling Nonlinear Vibrations In Structures With Mechanical Joints, Suzanna Gilbert
Theses and Dissertations
Many assembled structures have bolted or riveted joints. Aside from providing a convenient method of assembly, mechanical joints have an important effect on the structure's dynamic response to its environment. Friction and microslip within the joints help to damp out unwanted vibration. However, the joints also introduce nonlinearity into the response. Most notably, the natural vibrational modes of the structure no longer have constant natural frequencies and damping ratios. Rather, they shift as a function of vibration amplitude. Several methods exist to characterize the dynamics of nonlinear systems, yet they are generally validated on simple benchmark structures, and many still …
The Negotiation Of Identities Through Humorous Discourse In Political Resistance: An Analysis Of Bassem Youssef's 'The B+ Show', Howaida Aref
Theses and Dissertations
This study examines the strategic use of humorous discourse in negotiating identities and expressing political resistance during the 2011 Egyptian Revolution, focusing on Bassem Youssef's satirical YouTube show, "The B+ Show." Employing a mixed-method approach that combines Grice's maxims of cooperative communication and Fairclough's critical discourse analysis framework, the research investigates how humor functioned as a tool for challenging hegemonic narratives and power dynamics through constructing and deconstructing identities in a volatile sociopolitical context. The analysis reveals that Youssef skillfully exploited various discursive resources, particularly intertextuality and the flouting of conversational maxims, to generate implicatures that effectively debunked negative representations …
Mississippi River Pre-Loess Terrace Deposits: Distribution Of Aggregate Resources, Jonathan Leard
Mississippi River Pre-Loess Terrace Deposits: Distribution Of Aggregate Resources, Jonathan Leard
Theses and Dissertations
Pre-loess Terrace Deposits are a Pleistocene, high-quality aggregate resource of gravel, sand, and clay subjacent to loess of varying thickness along the eastern valley wall of the Yazoo Basin in Mississippi. This project delineated 1,230 mi2 of this resource with a volume greater than 33 billion yd3 from the misinterpreted Citronelle Formation in Desoto, Tate, Marshall, Panola, Tallahatchie, Yalobusha, Grenada, Carroll, Holmes, Yazoo, Madison, Hinds, Warren, Jefferson, Claiborne, Adams, Franklin, and Wilkinson Counties with nine terrace base levels at 40, 180, 220, 250, 270, 300, 330, 340, and 370 feet msl indicated by test holes, gravel mine data, outcrop studies, …
Genetic Reconstruction And Diversity Analysis In The Usda Forest Service Populus Deltoides Breeding Collection, Carlos Armando Rivera Moreno
Genetic Reconstruction And Diversity Analysis In The Usda Forest Service Populus Deltoides Breeding Collection, Carlos Armando Rivera Moreno
Theses and Dissertations
The thesis investigates the genetic structure and diversity of the Populus deltoides collection from the USDA Forest Service breeding program. Using genomics techniques, six population groups with varying levels of admixture were identified, revealing extensive historical recombination and complexity in the population structure, which contrasts with earlier studies from different regions. The research also confirms the collection's integrity by detecting operational errors and contamination, addressed through genetic identity and parentage analysis. Notably, over 80% of the clones have contributions from multiple ancestors, indicating widespread interbreeding. Additionally, a reliable database was created, covering about 96% of the unique genotypes. This enables …
A New Model For Predicting Two-Zone Parameters Based On Geometric Modifications In Computational Fluid Dynamics Simulations, Jason B. Metten
A New Model For Predicting Two-Zone Parameters Based On Geometric Modifications In Computational Fluid Dynamics Simulations, Jason B. Metten
Theses and Dissertations
This study uses Computational Fluid Dynamics (CFD) to create a new and improved model for key Two-Zone modeling parameters, 𝜒 and 𝛿2𝑝. It explores how geometric changes to centrifugal compressors impact these modeling parameters. While centrifugal impellers are an important part of many systems, the flow through such impellers is inherently complex, making performance often difficult to predict. There are many approaches for modeling this complex flow environment, one method being the Two-Zone model developed by Dave Japikse. Values for 𝜒 and 𝛿2𝑝 are often determined from data obtained from test rigs or correlations. In this study high-fidelity CFD simulations …
Anxiety, Stress, And Depression As A Predictor Of Established Vaping Among High School Students, Autumn Schneider
Anxiety, Stress, And Depression As A Predictor Of Established Vaping Among High School Students, Autumn Schneider
Theses and Dissertations
Previous research has linked initiation of e-cigarette use with mental health but has not identified how mental health factors impact patterns of use of these products in adolescents. I tested the hypothesis that adolescents who report vaping to cope with stress, depression, and anxiety have more established patterns of use with data from the National Youth Tobacco Survey. Crosstabulations and logistic regression outcome measures included current use, intensity of use, and cumulative lifetime use. Reasons for initial and current use related to mental health were associated with current e-cigarette use, more intense use, and higher cumulative use. Mental health plays …
Considerations For Cottonseed Oil As A Feedstock For Renewable Fuels, John Elmore
Considerations For Cottonseed Oil As A Feedstock For Renewable Fuels, John Elmore
Theses and Dissertations
As the world population grows and the standard of living improves in developing countries, global energy demand will continue to rise, with energy use in the developing world expected to increase dramatically more than the per capita reductions in developed countries from efficiency improvements. Nearly a third of the total global energy demand is used for transportation, resulting in a substantial contribution to greenhouse gas (GHG) emissions. While the demand for energy rises, initiatives and regulations are underway to mitigate the amount of GHG emissions to Earth’s atmosphere. As efforts progress in industry, governments, and society to reduce the total …
Impacts Of Upgrading Gcc On The Srtuner Compiler Autotuning Algorithm, Jonathan D. Butterfield
Impacts Of Upgrading Gcc On The Srtuner Compiler Autotuning Algorithm, Jonathan D. Butterfield
Theses and Dissertations
An often-overlooked research gap is the applicability of research over time. The impact of updating the GNU Compiler Collection version was investigated for the SRTuner compiler optimization research. Versions 7 through 14 were tested using documented flags and recommended flag dependencies. Quality controls measured and enforced consistency across test runs and benchmarks. The performance of SRTuner was compared to a random control while the impact of enforcing flag dependencies was evaluated. The most influential flags were investigated by turning them off in isolation, but results were mixed. It was determined that enforcing flag dependencies resulted in improved performance, but the …
Evaluating Avian And Aquatic Macroinvertebrate Communities In Wetland Reserve Easements In The Mississippi Alluvial Valley, Kara Michelle Hall
Evaluating Avian And Aquatic Macroinvertebrate Communities In Wetland Reserve Easements In The Mississippi Alluvial Valley, Kara Michelle Hall
Theses and Dissertations
During the 19th and 20th centuries, nearly 80% of historic bottomland hardwood forests (BLHFs) in the Mississippi Alluvial Valley (MAV) was converted to cropland. Efforts to enhance and restore wetlands on marginal farmland have occurred since the early 1990s through the Wetland Reserve Easement (WRE) and other programs, yet few studies have evaluated ecological impacts of WREs. I conducted avian and aquatic macroinvertebrate surveys across WREs, croplands, and historic minimally disturbed wetlands to index abundance, richness, and diversity. I found WREs had less overall avian abundance, richness, and diversity than reference wetlands, whereas WREs exceeded crop sites in total richness …
Small Area Estimation Methods For County-Level Forest Biomass Estimation, Pratyush Dhungana
Small Area Estimation Methods For County-Level Forest Biomass Estimation, Pratyush Dhungana
Theses and Dissertations
We evaluated small area estimation (SAE) methods for county-level forest biomass across four Forest Inventory and Analysis (FIA) regions in the contiguous United States using the coefficient of variation and relative root mean squared error. The Standard Fay–Herriot (FH) model was compared with multivariate, spatial, and measurement-error extensions, while the unit-level Battese–Harter–Fuller (BHF) model was compared with mixed-effects random forests (MERF) with auxiliary data from remote sensing. Spatial FH improved precision when spatial dependence was strong; otherwise, Standard FH was more reliable. All FH models were effective with fewer than 100 plots. Measurement-Error FH produced more accurate estimates than FIA …
Leveraging Google Earth Engine For Computationally Efficient Pixel-Level Analysis And Vector Delineation From Satellite Data., Rishita Garg
Leveraging Google Earth Engine For Computationally Efficient Pixel-Level Analysis And Vector Delineation From Satellite Data., Rishita Garg
Theses and Dissertations
Analyzing large-scale, high-resolution satellite imagery is a computationally intensive task requiring time and computing resources. This can be accelerated using cloud computing platforms such as Google Earth Engine (GEE) where computational and storage requirements can be scaled based on demand. However, cloud-based platforms for processing high-resolution imagery remain underutilized in environmental applications such as agriculture, and forest health. This thesis explored the application of GEE to two geospatial problems in agricultural conservation and disease mapping in forestry: 1) Extraction of agricultural field boundaries from Sentinel-2 satellite imagery, for use in conservation, precision agriculture, land management, and organization, etc., and 2) …
Study On Vehicle-Pedestrian Interaction Autonomy By Risk Potential Theory, Riku Kikuta
Study On Vehicle-Pedestrian Interaction Autonomy By Risk Potential Theory, Riku Kikuta
Theses and Dissertations
Vehicle–pedestrian interaction is a critical aspect of autonomous vehicle (AV) development, as socially acceptable AVs must account for pedestrian intention and behavior. Risk Potential (RP) theory provides a framework to build human-like AVs by modeling expert driver risk perception, but conventional RP models treat pedestrians as static obstacles and neglect their dynamics. This dissertation extends RP theory by incorporating pedestrian velocity and orientation into three new models: the RP velocity model, the RP related-velocity model, and the RP Pedestrian Potential Position (PPP) model. These models were implemented in the Navigating All Terrains Using Robotic Exploration (NATURE) autonomy stack and tested …
Complex-Valued Structured Parameterized Learnable Filter Banks For Time-Frequency Domain Based Classification, Sabyasachi Biswas
Complex-Valued Structured Parameterized Learnable Filter Banks For Time-Frequency Domain Based Classification, Sabyasachi Biswas
Theses and Dissertations
Most conventional radar-based classification methods, including human activity recognition (HAR) and modulation recognition, rely on computationally intensive two-stage processes involving time-frequency (TF) transformations, such as the short-time Fourier transform (STFT), to generate micro-Doppler signature (��-Ds). These ��-Ds are then classified using deep neural network (DNN), a method introducing significant temporal latency and limiting real-time applicability. To overcome these limitations, this dissertation proposes a novel complex-valued Deep learning (DL) framework employing structured parameterized learnable filter (PLF) banks, enabling direct classification from raw radar data. The research first introduces high-resolution spectrogram network (HRSpecNet), a deep learning model designed to reconstruct high-resolution ��-Ds …
Space Utilization Optimization, Troy D. Rockwood
Space Utilization Optimization, Troy D. Rockwood
Theses and Dissertations
Outer space is a crucial and increasingly leveraged resource for advancing human quality of life; however, its utility is constrained by inherent physical and spectral limitations. This thesis examines two distinct resource optimization problems critical to the sustainable development of space. The first part of this work addresses the optimization of physical orbital space. Unlike a terrestrial resource, mismanagement of this orbital space can lead to a runaway cascade of collisions, destroying the utility of entire orbital regimes. This thesis proposes a conjunction metric to quantify orbital capacity based on Keplerian parameters. We develop a computational tool to measure and …
Integrated Experimental, Numerical, And Machine-Learning Framework For The Analysis Of Spray Dynamics In Diesel And Gasoline Direct-Injection (Gdi) Engines, Yassine El Marnissi
Integrated Experimental, Numerical, And Machine-Learning Framework For The Analysis Of Spray Dynamics In Diesel And Gasoline Direct-Injection (Gdi) Engines, Yassine El Marnissi
Theses and Dissertations
The regulation of diesel and gasoline direct injection (GDI) during cold starts has become subject to stricter numerical limits by both the Environmental Protection Agency (EPA) in the US and the European Commission (EC). For diesel engines, the EPA’s Clean Trucks Plan (Model Year 2027+) sets a certification NOₓ limit of 0.035 g/bhp-hr and an in-use fleet average limit of 0.050 g/bhp-hr, along with a PM limit of 0.005 g/bhp-hr, representing an 82.5% reduction in NOₓ compared to the former 0.2 g/bhp-hr standard. For gasoline engines, US standards regulate cold-start pollutants such as hydrocarbons (HC) ranging from 0.03 to 0.08 …
Mechanical Properties Of Oak Timbers And Mats And Toughness Of Loblolly Pine After 0 To 6 Months On The Ground., Zachary Thomas Kyzer
Mechanical Properties Of Oak Timbers And Mats And Toughness Of Loblolly Pine After 0 To 6 Months On The Ground., Zachary Thomas Kyzer
Theses and Dissertations
Testing wood in various ways is important to be able to understand the strength and recovery values. The first part of this study aims to assess the design values of mixed oak in-grade, 8 in. thick timbers and mats under various design and loading scenarios. Graded timbers were drilled, assembled into mats, and tested. Results indicated that the mat with a line load across all timbers, was nearly equivalent to the mat with a load applied to the middle timber only. Drilling did not negatively impact strength as compared to solid non-drilled timbers. The second part of this study investigates …
Evaluating Three Lightweight Airfield Matting Systems Under F-35b Aircraft Loading, Brett D. Cobb
Evaluating Three Lightweight Airfield Matting Systems Under F-35b Aircraft Loading, Brett D. Cobb
Theses and Dissertations
Aircraft matting has been in service since WWII. It has provided a maneuverable substrate to allow aircraft forward operations to take place in austere environments. AM2 is the main matting system that has been used for generations. In recent years, the need for a lightweight matting system has come to the forefront of the matting community. This is not only to improve the maneuverability, but also the shipping restrictions. This research is on three different light weight matting systems above subgrade with two CBR values (i.e., 6 and 25). A specially designed load cart was adopted to simulate F-35B loading. …
Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara
Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara
Theses and Dissertations
Accurate and efficient estimation of soil properties is essential for advancing sustainable agriculture, water management, and soil survey applications. Traditional laboratory methods and pedotransfer functions (PTFs) are widely used but are often constrained by high costs, time requirements, and limited scalability. As an alternative, mid-infrared (MIR) and visible–near-infrared (vis–NIR) spectroscopy provide cost-effective, rapid, and non-destructive approaches for soil analysis. However, variability among spectrometer types, geographic regions, and soil scanning conditions poses challenges to model transferability and generalizability. This dissertation evaluated strategies to overcome these challenges and enhance the prediction of soil chemical, physical, and hydrological properties in Mississippi and Texas. …
Electrospun Nanofiber Creation With Varying Polymer-Solvent Combinations For Air Filtration, Lancaster Jace Hill
Electrospun Nanofiber Creation With Varying Polymer-Solvent Combinations For Air Filtration, Lancaster Jace Hill
Theses and Dissertations
This study aims to analyze various polymer-solvent combinations for electrospun creation of nanofiber media and to determine the best-suited solution for lab-grade electrospinning. Suitable solutions allow for controlled morphology of fiber diameters and for efficiency of media creation. The principal variables are solvent, concentration, and voltage. Humidity and temperature play a secondary variable role. The solution must withstand an electric field of ≤30 kV and be insoluble in water to maintain desired morphology and structure. Manipulation of the solutions and variables allow for fiber diameter optimization and beading minimization. High temperature filter applications require efficiency in intense heat and preservation …
Toward A Unified Network Flow Framework: From Conservation Principles To Fluid Dynamics Models, Zonghan Zhang
Toward A Unified Network Flow Framework: From Conservation Principles To Fluid Dynamics Models, Zonghan Zhang
Theses and Dissertations
Network flows govern a wide range of critical systems, from tangible infrastructures like transportation and power grids to replicable processes such as information spread and epidemics. While tangible flows obey conservation laws and physical constraints, replicable flows, like rumors or viruses, can grow, decay, or vanish unpredictably. Despite their increasing interaction in real-world settings, these flow types are typically modeled in isolation, using disconnected mathematical frameworks. This dissertation presents a unified modeling approach that bridges the gap between conserved and replicable flows by embedding principles from fluid dynamics into graph-based propagation models. I introduce physically informed extensions to classical models, …
Sex Disparities In Prescription Opioids Associated Cardiovascular Adverse Events, Li Ma
Sex Disparities In Prescription Opioids Associated Cardiovascular Adverse Events, Li Ma
Theses and Dissertations
The opioid crisis in the United States has evolved from a medical response to pain into a nationwide public health emergency. The prescription opioids (POs) – associated cardiovascular adverse events (CVAEs) remain insufficiently studied, especially in relation to sex disparities. This dissertation investigates sex disparities in PO-associated cardiovascular adverse events (CVAEs) through an analytic framework integrating artificial-intelligence-assisted literature mining and real-world pharmacovigilance analytics. In the analytic framework, first, AI powered topic modeling was employed to uncover POs-associated CVAEs risks with a focus on sex differences. A total of 1,837 PubMed abstracts were analyzed using two methods, Latent Dirichlet Allocation (LDA) …
Understanding Acceptance Capacity And Intentions Of Mississippians To Participate In The Conservation And Management Of Black Bears In Mississippi, Basant Pant
Theses and Dissertations
This dissertation explores the acceptance capacity of Mississippians towards black bears (Ursus Americanus), and their intentions to participate in their conservation and management. It intends to bridge the theory and application of wildlife acceptance capacity among three main objectives. First, a systematic literature review of journal articles employing the Search, Appraisal, Synthesis and Analysis (SALSA) method revealed the development phase of Wildlife Acceptance Capacity (WAC)-conceptual phase (1988 -2000) and applied phase (post 2000), highlighting the strong scholarly collaboration among high human development index (HDI) countries with limited collaboration with the low HDI countries. Second, a mail survey of 4,080 Mississippi …
Quantifying Benefits Of Biochar With Variable Absorption Capacity As A Partial Cement Replacement In Concrete, Benjamin Shannon
Quantifying Benefits Of Biochar With Variable Absorption Capacity As A Partial Cement Replacement In Concrete, Benjamin Shannon
Theses and Dissertations
Extensive research has been conducted on biochar-incorporated concrete. However, no concrete mixture design guideline is currently available for implementing biochar incorporation in practice. The objective of this study was to correlate biochar absorption capacity with the compressive strength of biochar-incorporated concrete, to quantify the benefits of biochar and develop mix design guidelines. Biochar with varying absorption capacities was incorporated into concrete at 10%, 20%, and 40%. Strength and moisture loss were recorded over the 90-day curing period of the biochar-incorporated concrete. Results revealed three main findings: (1) in 10%, 20%, and 40% biochar mixes, the normalized strengths ranged from 0.65–0.85, …
‘Cog In The Machine’ Or Social Being? How Digital Communications Affect Social Capital Development In Higher Education Institution Workplaces., Daphne Abigail Knox
‘Cog In The Machine’ Or Social Being? How Digital Communications Affect Social Capital Development In Higher Education Institution Workplaces., Daphne Abigail Knox
Theses and Dissertations
The purpose of this research is to investigate the impact of digital communications on social capital development within the workplace in public institutions of higher education. While previous literature recognizes the potential implications of the internet on areas like social capital (Putnam, 2000; 2020) and formal and informal communications in organizations (Simon, 1997), an in-depth understanding of how modern digital communications impact social capital development is still necessary to address the gap in literature and to analyze the impact of digital communications on the development of organizational social capital. The potential implications of this work on scholarly research include expanding …
Toward Approachable Reinforcement Learning: Using Dataflow Application And Large Language Models For Human-Understandable Policies, Joel Thomas Huber
Toward Approachable Reinforcement Learning: Using Dataflow Application And Large Language Models For Human-Understandable Policies, Joel Thomas Huber
Theses and Dissertations
Optimal decision-making under uncertainty is a challenge in everything from board games to business scenario planning. With visual programming systems, end-users can utilize reinforcement learning (RL) agents to identify an optimal policy in their own stochastic environments. However, while the RL agent can demonstrate that an optimal policy exists, RL polices tend to be opaque and difficult to interpret. This thesis investigates how Large Reasoning Models (LRMs) can generate human-understandable rules from RL policies. I compare multiple approaches and models, varying the format of the RL policy provided to the LRM as well as the prompting strategy. My results show …
The Impact Of Land Use Types On Pollinator Communities In Upland Oak Forests, John Olanrewaju Omolewa
The Impact Of Land Use Types On Pollinator Communities In Upland Oak Forests, John Olanrewaju Omolewa
Theses and Dissertations
This research investigates how land use types influence pollinator communities in upland oak forests, focusing on bees (Hymenoptera: Apoidea). The study has four objectives: (1) compare bee species richness and abundance across four land use types; hardwood, pine/mixed pine, open fields/agricultural areas, and scattered hardwood; (2) test whether bee community composition differs among these land uses; (3) assess how land use shapes diversity of both common and rare bee species; and (4) investigate the reproductive output of cavity-nesting communities in upland oak forests. Together, these aims provide a comprehensive understanding of how land use practices affect wild bee communities in …
Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman
Development And Validation Of A Machine-Learned Actuator Line Model For Rotors, Joshua L. Bowman
Theses and Dissertations
This dissertation develops and validates a machine‑learned (ML) actuator line model (ALM) as an advancement in rotor modeling that can be applied to diverse engineering applications. The model addresses two standard ALM limitations: dependence on pre‑tabulated lift and drag coefficients and the inability to represent unsteady inflow. The ML‑ALM is trained on a hydrokinetic blade‑resolved simulation database of blade‑element forces under unsteady conditions, and is queried at run time to supply axial, tangential, and spanwise forcing at each actuator element. Validation covers solitary rotor performance and wake predictions against experimental data, and verification in an inline configuration against blade‑resolved simulations …
Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter
Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter
Theses and Dissertations
Parkinson's disease (PD) is a complex condition with a wide range of clinical symptoms. It is a progressive neurological disorder that has afflicted an estimated 1 million people in the US and 10 million worldwide. The diagnosis of PD is typically based on the presence of clinical features, with no specific diagnostic test or biomarker. The methods of assessment for PD are also used, in whole or in part, for similar symptom diseases such as Multiple Sclerosis, Essential Tremors, Multiple System Atrophy, Supranuclear Palsy, Dementia with Lewy bodies and Huntington’s disease. Many of the current clinical tests have low sensitivity …