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Designing And Understanding Physical Behavior Of Polymeric Materials, Chinmoy Saha
Designing And Understanding Physical Behavior Of Polymeric Materials, Chinmoy Saha
Theses and Dissertations
Organic conjugated polymers (CPs) are emerging materials for advanced electronic applications such as organic photovoltaics (OPVs), field-effect transistors (OFETs), light-emitting diodes (OLEDs), flexible and wearable electronics, and biomedicals. High-spin donor-acceptor CPs have been investigated for their potential applications in magnetic and spintronic devices. Inter-chain charge transfer among these high-spin polymers mainly depends on the nature of the local structure of the thin film and pi-stacking between the polymer chains. However, the microscopic structural details of high-spin polymeric materials are rarely studied, especially in the liquid phase, and remain largely unexplored. This study examined the effects of oligomer chain length, side …
Manifold Design For A High-Enthalpy, Long-Duration High Speed Wind Tunnel, Gradon Parker Bailey
Manifold Design For A High-Enthalpy, Long-Duration High Speed Wind Tunnel, Gradon Parker Bailey
Theses and Dissertations
Since the 1940s, the study of supersonic and hypersonic flow has posed significant challenges due to the variable aerodynamic characteristics and alterations in air properties at such high speeds. Hypervelocity wind tunnels have been instrumental in addressing gaps in this field, yet no existing facility can fully replicate true hypersonic conditions. The primary obstacle lies in sustaining the high enthalpies and targeted total conditions necessary for authentic supersonic and hypersonic environments. This paper focuses on the development of a mixing manifold section for a high enthalpy, long-duration hypervelocity wind tunnel designed to provide clean airflow and accurately replicate true hypervelocity …
Robust Longitudinal Velocity Control For Advanced Vehicles: A Deep Reinforcement Learning Approach, Fahmida Islam
Robust Longitudinal Velocity Control For Advanced Vehicles: A Deep Reinforcement Learning Approach, Fahmida Islam
Theses and Dissertations
Longitudinal velocity control, or adaptive cruise control (ACC), is a common advanced driving feature aimed at assisting the driver and reducing fatigue. It maintains the velocity of a vehicle and ensures a safe distance from the preceding vehicle. Many models for ACC are available, such as Proportional, Integral, and Derivative (PID) and Model Predictive Control (MPC). However, conventional models have some limitations as they are designed for simplified driving scenarios. Artificial intelligence (AI) and machine learning (ML) have made robust navigation and decision-making possible in complex environments. Recent approaches, such as reinforcement learning (RL), have demonstrated remarkable performance in terms …
Salinity Tolerance In The Elymus Genus, Hunter Pegram
Salinity Tolerance In The Elymus Genus, Hunter Pegram
Theses and Dissertations
Most crop species are highly sensitive to elevated levels of soil salinity. Increased soil salination has become one of the most detrimental environmental factors limiting agricultural productivity. Agricultural commodity losses due to salinity are currently estimated to be 12 billion USD per year and are expected to increase every year as more acreage is affected by salination. The Elymus genus is composed of approximately 150 species of grasses with geographic distribution that spans the globe. Elymus species are commonly used for revegetation, wildlife habitat, and erosion control. While increased tolerance to soil salinity has been reported that Argentine wheatgrass (Elymus …
Performance Evaluation Of Deep Learning Object Detectors For Weed Detection And Real Time Deployment In Cotton Fields, Abdur Rahman
Performance Evaluation Of Deep Learning Object Detectors For Weed Detection And Real Time Deployment In Cotton Fields, Abdur Rahman
Theses and Dissertations
Effective weed control is crucial, especially for herbicide-resistant species. Machine vision technology, through weed detection and localization, can facilitate precise, species-specific treatments. Despite the challenges posed by unstructured field conditions and weed variability, deep learning (DL) algorithms show promise. This study evaluated thirteen DL-based weed detection models, including YOLOv5, RetinaNet, EfficientDet, Fast RCNN, and Faster RCNN, using pre-trained object detectors. RetinaNet (R101-FPN) achieved the highest accuracy with a mean average precision ([email protected]) of 79.98%, though it had longer inference times. YOLOv5n, with the fastest inference (17 ms on Google Colab) and only 1.8 million parameters, achieved a comparable 76.58% [email protected], …
Human Behavioral And Technological Adaptation To The Younger Dryas In The Midsouth: Investigations Into The Mississippi Projectile Point Survey, Christopher Dylan Colucci
Human Behavioral And Technological Adaptation To The Younger Dryas In The Midsouth: Investigations Into The Mississippi Projectile Point Survey, Christopher Dylan Colucci
Theses and Dissertations
In this study, I use 1,163 Paleoindian bifaces from Mississippi to study human behavioral changes in response to the Younger Dryas climate event (12,900 – 11,700 cal yr BP). I use the “organization of technology” as a theoretical approach and a modified version of the marginal value theorem to track changes in Paleoindian lithic technology through time and compare those changes to regional paleoenvironmental data. I find a decrease in absolute point size, increase in rates of resharpening, and expansion of settlement organization and raw material preferences throughout the Younger Dryas. I argue that the organization of hunter gatherer technology …
Forest Management In Changing Landscapes: Evaluating Hurricane Damage And Salvage Market Dynamics, Ian Pereira Sartorio
Forest Management In Changing Landscapes: Evaluating Hurricane Damage And Salvage Market Dynamics, Ian Pereira Sartorio
Theses and Dissertations
This dissertation comprises three interrelated studies exploring the effects of hurricanes on forestlands and the optimization of salvage logging practices. The first study examines land cover changes and salvage logging patterns following Hurricane Michael. It utilizes predictive models to identify key drivers of these changes, exploring the relative influence of storm intensity, forest vulnerability, and economic/operational factors. The second study builds upon these findings, focusing on the agent attribution for land cover change observations leveraging advanced remote sensing tools and relevant spatial data. By distinguishing between wind damage and salvage logging activities, it advances the understanding of post-hurricane land cover …
That The Parliament Should Be In Harmony With The Nation: The Whig Party, National Self- Determination, And Parliamentary Reform, 1790-1830, J.D. Scott
Theses and Dissertations
Between 1790 and 1830 the Whig party in Britain championed the rights of continental European peoples to determine their governments free of outside interference. The universal right to national self-determination became an important part of their own domestic, partisan effort to oppose the ministries of William Pitt the younger and his acolytes—ministries which they believed were undermining the independency of the House of Commons by allying Britain with the despotic governments of the continent in their war against the French Revolution. By casting the wars against Revolutionary and Napoleonic France as an attack against the right to national self-determination, the …
Evaluating The Effects Of Incremental Rehearsal At Increasing Drivers Permit Exam Material Knowledge For Individuals With Asd, Madison Billingsley
Evaluating The Effects Of Incremental Rehearsal At Increasing Drivers Permit Exam Material Knowledge For Individuals With Asd, Madison Billingsley
Theses and Dissertations
Learning to drive represents a rite of passage for many adolescents and young adults, which increases their access to vocational, education, and social opportunities (Almberg et al., 2015; Cox et al., 2012; Lindsay, 2016). When examining licensure rates for individuals with developmental disabilities and/or Autism Spectrum Disorder, research demonstrates lower licensure rates and more difficulties obtaining licensure (Almberg et al., 2015; Cox et al., 2012). Most research focusses on teaching on the road or simulation based driving skills to increase licensure rates, however little research addresses the barriers these individuals face obtaining their drivers permit (Huang et al., 2012; Pandolfe, …
Toward Privacy-Preserving Component Certification For Metal Additive Manufacturing, Mahathir Mohammad Bappy
Toward Privacy-Preserving Component Certification For Metal Additive Manufacturing, Mahathir Mohammad Bappy
Theses and Dissertations
Metal-based additive manufacturing (AM) has emerged as a cutting-edge technology for fabricating complex geometries with high precision. However, the major challenges to the wider adoption of metal AM technologies are process uncertainty-induced quality issues. Consequently, there is an urgent need for fast and reliable certification techniques for AM components, which can be achieved by leveraging Artificial Intelligence (AI)-enabled modeling. Developing a robust AI-enabled model presents a significant challenge because of the costly and time-intensive nature of acquiring diverse and high volume of datasets. In this context, the data-sharing attributes of Manufacturing-as-a-Service (MaaS) platforms can facilitate the development of AI-enabled certification …
Divergent Selection For Anthesis Of Annual Ryegrass (Lolium Perenne Ssp. Multiflorum), Prakriti Adhikari
Divergent Selection For Anthesis Of Annual Ryegrass (Lolium Perenne Ssp. Multiflorum), Prakriti Adhikari
Theses and Dissertations
Annual ryegrass (Lolium perenne ssp. multiflorum) is an excellent cover crop for winter-fallow fields of the Southeast. However, late senescence and herbicide resistance pose challenges for spring eradication. This study aims to develop a ryegrass variety that naturally senescence early using the recurrent phenotypic selection. A base population with anthesis dates from March 21 to April 2 was collected in 2022. 903 seedlings of this population were grown in Cycle0. For Cycle1, the Cycle0 population upon anthesis was segregated into NV0 (11 non-vernalizing), E0 (earliest 70 to anthesis), and L0 (last 70 to anthesis). Isolated groups were allowed to polycross …
Enhancing Afm Particle Analysis And Shape Factor Identification With Machine Learning, William David Mckelvey
Enhancing Afm Particle Analysis And Shape Factor Identification With Machine Learning, William David Mckelvey
Theses and Dissertations
Through enhancing aerosol particle measurement accuracy by determining particle shape factors using Atomic Force Microscopy (AFM) combined with machine learning techniques, this study aims to provide a methodology that will improve the precision of aerosol measurements and contribute to the development of more effective filtration technologies. Accurate shape factor measurement is crucial for devices such as the Scanning Mobility Particle Sizer (SMPS), which often assume spherical particles of uniform density. By identifying and analyzing particles in AFM scans using machine learning techniques, this research provides a better understanding of shape factors, improving the quality of aerosol measurements. These advancements contribute …
A Multivariate Analysis Of Coliform Microbial Dynamics And Intervention Efficacy In A Complex Ready-To-Eat (Rte) Beef Value Stream, Benjamin Adam Miles
A Multivariate Analysis Of Coliform Microbial Dynamics And Intervention Efficacy In A Complex Ready-To-Eat (Rte) Beef Value Stream, Benjamin Adam Miles
Theses and Dissertations
A complex multi-vector processed beef value stream was biomapped and work-in-process (WIP) was sampled at various processing points that affected the product microbiome. Coliform Petrifilm™ was used to analyze samples qualitatively and quantitatively across the meat and glaze vectors. There was an impact (p≤0.05) of the glaze distribution system on coliforms. The pumps of the glaze system were fully disassembled and additional microbial data were obtained through swabbing. WIP and sponge samples were subjected to 16S V1/V2 gene amplification with primers designed for taxonomic identification. Sequencing was conducted on the Illumina MiSeq platform and bioinformatics were developed in QIIME 2 …
The Loggerhead Sea Turtle Nesting Habitat Suitability Index Validation And Workflow Modernization For Habitat Monitoring And Coastal Management Best Practices, Brooke Marlo Walker
The Loggerhead Sea Turtle Nesting Habitat Suitability Index Validation And Workflow Modernization For Habitat Monitoring And Coastal Management Best Practices, Brooke Marlo Walker
Theses and Dissertations
The Caretta caretta, or Loggerhead sea turtle, is a protected species found across all temperate and subtropical oceans. Previous research has identified that the Caretta caretta has preferences for nesting sites based on beach width, beach slope, and vegetation coverage, which facilitated the development of a nesting site suitability index. In this thesis, these indices were integrated with standard coastal geomorphology metrics in the ESRI Suitability Modeler to pinpoint potential nesting locations for the C. caretta on various beach reaches. The results were then validated against observed nesting site data. The results of this study can inform critical decisions regarding …
Deep Learning-Based Radio Frequency Interference Detection And Mitigation For Microwave Radiometers With 2-D Spectral Features, Ahmed Manavi Alam
Deep Learning-Based Radio Frequency Interference Detection And Mitigation For Microwave Radiometers With 2-D Spectral Features, Ahmed Manavi Alam
Theses and Dissertations
Radio frequency interference (RFI) poses significant challenges for passive microwave radiometry used in climate studies and Earth science. Despite operating in protected frequency bands, microwave radiometers often encounter RFI from sources like air surveillance radars, 5G communications, and unmanned aerial vehicles. Traditional RFI detection methods rely on handcrafted algorithms designed for specific RFI types. This study proposes a deep learning (DL) approach, leveraging convolutional neural networks to detect various RFI types on a global scale. By learning directly from radiometer data, this data-driven method enhances detection accuracy and generalization. The DL framework processes raw moment data and Stokes parameters, dynamically …
Biomass Conversion Models For Selected Pines In The Southern United States, Chris Driskill
Biomass Conversion Models For Selected Pines In The Southern United States, Chris Driskill
Theses and Dissertations
Current carbon and bioenergy markets shifted the focus of typical forest attribute estimation from volume to biomass. We used multiple linear regression and the dataset collected as part of the National Scale Volume and Biomass modeling effort to develop biomass prediction models for Pinus taeda L., Pinus elliottii Engelm. var. elliottii, Pinus echinata Mill., and Pinus palustris Mill. In addition to utilizing traditional forest measurements such as diameter at breast height and total tree height, biomass was estimated as functions of volume, latitude, and longitude. We also evaluated the differences in wood density by geographic location for these species. The …
Efficacy Of Recycled Glass Cullet As A Soil Substrate For U.S. Gulf Coast Salt Marsh Restoration, Ansley Levine
Efficacy Of Recycled Glass Cullet As A Soil Substrate For U.S. Gulf Coast Salt Marsh Restoration, Ansley Levine
Theses and Dissertations
Recycled glass cullet is a potential alternative to fill substrate in salt marsh restoration projects, given its similarity to natural silica sands. However, the ability for common salt marsh plants to grow in glass cullet has not yet been tested. An outdoor mesocosm experiment assessed the ability of the dominant mid-marsh plant Juncus roemerianus and the upland marsh plant Spartina patens to grow in various mixtures of glass cullet versus fill soil. Results showed that J. roemerianus can survive in glass cullet, but growth declined as the proportion of cullet increased. However, S. patens grew comparably, if not better, in …
Application Of Numerical Weather Prediction With Machine Learning Techniques To Improve Middle Latitude Rapid Cyclogenesis Forecasting, Colin Matthew Snyder
Application Of Numerical Weather Prediction With Machine Learning Techniques To Improve Middle Latitude Rapid Cyclogenesis Forecasting, Colin Matthew Snyder
Theses and Dissertations
This study goal was to first determine the baseline Global Forecast System (GFS) skill in forecasting borderline (non-bomb:0.75-0.95, bomb: 1.-1.25) bomb events, and second to determine if machine learning (ML) techniques as a post-processor can improve the forecasts. This was accomplished by using the Tempest Extreme cyclone tracking software and ERA5 analysis to develop a case list during the period of October to March for the years 2008-2021. Based on the case list, GFS 24-hour forecasts of atmospheric base state variables in 10-degree by 10-degree cyclone center subdomains was compressed using S-mode Principal Component Analysis. A genetic algorithm was then …
Examination Of The Impact Of Discriminatory Legislation On Gender Minority Stress And Suicide Desire And Intent In Gender Minority Adults, Ashley R. Pate
Examination Of The Impact Of Discriminatory Legislation On Gender Minority Stress And Suicide Desire And Intent In Gender Minority Adults, Ashley R. Pate
Theses and Dissertations
Suicidal ideation and suicide attempt rates are far higher among gender minority individuals than in the general population. In the wake of an unprecedented number of anti-LGBTQ+ legislation being proposed and passed in 2023 in the United States, this study sought to examine the impact of this legislation on gender minority stress and suicidal desire and intent among gender minority adults. Results indicated that anxiety about the legislation was associated with the desire to die, perceived burdensomeness, thwarted belongingness, and the likelihood of attempting suicide in the future. The perceived impact of the legislation was associated with intent to die …
The Conservation Genetics Of Elassoma Alabamae And Phylogeography Of Elassoma Evergladei, David Lee Pounders
The Conservation Genetics Of Elassoma Alabamae And Phylogeography Of Elassoma Evergladei, David Lee Pounders
Theses and Dissertations
The southeastern U.S. is a hotspot of aquatic biodiversity and endemism in the upland and Coastal Plain regions. One component of this biodiversity is the Pygmy Sunfishes of the genus Elassoma. I used next-generation sequencing to aid in the understanding and conservation of these enigmatic fish. My first chapter focused on one of the most restricted species in the U.S. the Spring Pygmy Sunfish Elassoma alabamae. In this study I found four distinct genetic populations, evidence of founder effects, and that a newly discovered population is native. My second chapter focused on the Everglades Pygmy Sunfish Elassoma evergladei a more …
Examining The Impact Of De-Escalation Training For Rural Mississippi Leos: Using Simulation To Assess Behavioral Outcomes, Deepali Manoj Dhruve
Examining The Impact Of De-Escalation Training For Rural Mississippi Leos: Using Simulation To Assess Behavioral Outcomes, Deepali Manoj Dhruve
Theses and Dissertations
People with mental illness (PMI) are at a 67% greater risk of arrest and 16 times greater risk of being killed during a police incident than other civilians. Indeed, law enforcement officers (LEOs) report lacking expertise when addressing mental health calls, and existing trainings aimed at reducing violence in LEO encounters with PMI do not account for challenges specific to rural LEOs. Additionally, many trainings are severely lacking in assessing outcome changes pre- and post-training with more than half of trainings relying on survey-based knowledge subject to social desirability bias and inaccurate self-assessment. This study aimed to address limitations in …
Investigating Differences In Perceived Value And Opportunities For Student Professional Development In Chemistry Graduate Programs, Contessa L. Maggard
Investigating Differences In Perceived Value And Opportunities For Student Professional Development In Chemistry Graduate Programs, Contessa L. Maggard
Theses and Dissertations
The primary focus of chemistry graduate programs in R1 universities in the United States (US) is training students to become research scientists. However, additional skills, such as effective presentations, writing practical proposals, teaching, mentoring, and networking, are essential for successful careers. This study evaluates the emphasis on professional development skills in R1 chemistry graduate programs in the US, as perceived by graduate students and professors, and their perceived adequacy in preparing graduate students for academic careers. A questionnaire survey of current graduate students and faculty members was conducted. Results indicated that current graduate students perceived a lack of development opportunities …
Impacts Of Quality On Cotton Hedging And Basis, Jacob Epperson
Impacts Of Quality On Cotton Hedging And Basis, Jacob Epperson
Theses and Dissertations
The main objective of this study is to analyze the effects cotton quality has on hedging and basis movements within the cotton market to help market participants minimize price risk. The effectiveness of using cotton futures in hedging price risk will be determined by calculating optimal hedge ratios by tenderable quality. Hedge ratios will be calculated using simple differences and error correction models (ECM) on overlapping price data, estimated under both generalized least squares (GLS) and maximum likelihood estimation (MLE). An empirical analysis shows that as cotton quality improves, the optimal hedge ratio decreases. ECMs estimated under GLS are found …
An Examination Of Depressive Symptoms Of African Americans As A Part Of A Complex System, Jenna Kilgore
An Examination Of Depressive Symptoms Of African Americans As A Part Of A Complex System, Jenna Kilgore
Theses and Dissertations
Symptoms associated with Major Depressive Disorder (MDD) have become a source of distress and disability throughout the world, and MDD is among the most common disorders diagnosed annually in the United States. Despite this growing epidemic, scientists and practitioners continue to conceptualize MDD using a common-cause model, which suggests MDD is a result of a latent depression entity that gives rise to symptoms. This is particularly problematic in African American populations where some symptoms associated with depression (i.e., irritability and pain or numbness in the body) are different than those listed in the DSM. The current study examined depressive symptoms …
Estimation Of Cyanobacterial Concentrations From Uncrewed Aircraft Systems Imagery Over The Western Mississippi Sound, Gulf Of Mexico, John Preston Liles
Estimation Of Cyanobacterial Concentrations From Uncrewed Aircraft Systems Imagery Over The Western Mississippi Sound, Gulf Of Mexico, John Preston Liles
Theses and Dissertations
The Western Mississippi Sound (WMS) is home to the largest natural oyster reef in the Gulf of Mexico and contributes substantially to Mississippi's economy. In 2019, the WMS experienced an unprecedented cyanobacterial bloom that killed fish and birds and led to shut down of beaches and oyster fishery. This thesis aims to quantify cyanobacteria from uncrewed aircraft systems (UAS) imagery and investigate the relative influence of river discharge into the WMS on cyanobacterial concentrations. Several field campaigns were undertaken to collect field data and UAS imagery from WMS. A remote sensing algorithm was developed to quantify the unique cyanobacterial pigment …
Using Phenological And Physiological Data To Improve Bioenergy Feedstock Production Of Populus In The Southeastern United States, Jiaxin Wang
Theses and Dissertations
Climate change poses a significant threat to bioenergy production, impacting plant’s phenology and physiological performance. Investigating the adaptation of bioenergy crops like Populus is crucial for sustaining production. Populus, known for its genetic variation and ease of study, offers insights into tree responses to climate change. My research, part of the Advancing Populus Pathways in the Southeast (APPS) project, focuses on various Populus genotypes across multiple growing seasons, exploring phenology under different management strategies. Planting Populus across two sites, namely Monroe and Pontotoc, allows for the examination of genotype responses to climate change factors, particularly in terms of phenology and …
Source Contributions To Nekton Diet In An Oligohaline Ecosystem, Keith Antoine Chenier
Source Contributions To Nekton Diet In An Oligohaline Ecosystem, Keith Antoine Chenier
Theses and Dissertations
West Back Bay in Biloxi, Mississippi is an oligohaline estuary. Salt-tolerant submerged aquatic vegetation (SAV) and saltmarsh grasses are found ubiquitously throughout this estuary with Vallisneria americana and Juncus roemerianus being the dominant SAV and saltmarsh vegetation. No studies have directly evaluated the role of these vegetation species in the food web. Carbon and sulfur stable isotope analyses were used to identify primary source contributions to fishes Menidia beryllina, Fundulus grandis, and Lepomis macrochirus. Isotopic niche overlap was compared between fishes and basal carbon sources bimonthly from May 2021 through May 2022. Fishes had greater than 50% isotopic niche overlap …
Characterizing Threats To Coastal Forests By A Native Defoliator And Non-Native Woodborer, Kristy Marie Mcandrew
Characterizing Threats To Coastal Forests By A Native Defoliator And Non-Native Woodborer, Kristy Marie Mcandrew
Theses and Dissertations
Coastal forests are facing threats due to rising sea levels, increased storm severity, and land use change. These factors stress trees within coastal ecosystems, potentially predisposing them to attack by insects. In North America, two insect species of concern that pose threats to for coastal forest health are the native baldcypress leafroller (BCLR), Archips goyerana Kruse (Lepidoptera: Tortricidae), and non-native Japanese cedar longhorned beetle (JCLB), Callidiellum rufipenne Motschulsky (Coleoptera: Cerambycidae). Baldcypress leafroller has been reported from Mississippi and Louisiana, with defoliation only reported from the latter where increased flooding has stressed host trees. Through widespread trapping efforts, I found that …
Evaluating Depictions Of Representation: An Analysis Of Female Law Enforcement Officers In Prime-Time Fictional Entertainment Television, Linda Christine Williams
Evaluating Depictions Of Representation: An Analysis Of Female Law Enforcement Officers In Prime-Time Fictional Entertainment Television, Linda Christine Williams
Theses and Dissertations
This study looked at uniformed female municipal police officers in fictional entertainment television shows that were centered around law enforcement. Building on previous research by Evans and Davies, this replication study uses a content analysis model to look at city level police, as opposed to the female federal agents from Booker’s 2018 study. This project builds on earlier work that looked at portrayals of female law enforcement officers in entertainment television and applies a framework of Representative Bureaucracy, Cultivation Theory, and Social Construction of Reality to find at their intersection, answers about the construction of the street-level bureaucrats who are …
Effects Of Acute Alcohol Treatment On Macrophage Polarization, Liyuan Liu
Effects Of Acute Alcohol Treatment On Macrophage Polarization, Liyuan Liu
Theses and Dissertations
Alcohol is an underestimated toxicant, and binge drinking is increasing rapidly. Macrophages are important immune cells characterized by heterogeneity and can be polarized into pro-inflammatory and anti-inflammatory phenotypes.To elucidate the effects of acute alcohol exposure on macrophage polarization and function, we established an optimized multi-parameter flow cytometry panel, assessed the impact of acute alcohol on macrophage polarization, developed macrophage polarization models, and proposed novel indices for a refined understanding of macrophage polarization status.First, we developed a flow cytometry panel quantifying eleven markers critical to macrophage polarization within the RAW 264.7 cell line. Inducing specific polarization states with IFN-γ ± LPS …