Digital Commons Network^™

Factors Influencing Quality Of Citizen Science-Collected Litter Data And The Retention Of Recruited Citizen Scientists, Jessi Alexandria James-Barry

Theses and Dissertations

There are many benefits to using citizen science in scientific research, however, there are several perceived limitations. One being that citizen science data are often viewed as inferior or unusable by the broader science community. A primary concern to the usability and accuracy of this data depends on the level of training a participant receives. Another limitation is the recruitment and retention of volunteers participating in the data collection process. To further understand how training level affects the accuracy of citizen science and how demographics may influence participation, this study evaluated 73 volunteers trained in two different marine debris data …

A Case Against Exclusive Reliance On Volumetric Mixture Characterization For Future Asphalt Pavements And The Advancement Of A Viable Alternative, Jonathan Randy Easterling

Theses and Dissertations

Volumetric properties have been the cornerstone of asphalt mixture design and control dating back to the early 20th century. However, social and economic drivers have caused the asphalt industry to make changes in materials and processes used to produce mixtures that have stretched the limits of volumetric centric methodologies. The primary objectives of this dissertation were to present an extensive case on how volumetrics is limited in their ability to characterize asphalt mixtures and to advance the body of knowledge of a viable alternative. State agency specifications were examined and found that Departments of Transportation (DOTs) were using asphalt volumetric …

An Analysis Of Suspension Days Among Students In Special Education And General Education In A Rural School District, Lakesia Falanda Bryant

Theses and Dissertations

An Analysis of Suspension Days Among Students in Special Education and General Education in A Rural School District, is designed to look at those disciplinary trends that directly affect our most vulnerable population of students, with an emphasis on suspension, expulsions and the rates at which special education students are suspended and/or expelled as compared to their non-disabled peers in a rural district in Mississippi. As the Mississippi State Department of Education cited this district for its high rate of suspension and/or expulsions of students with Individualized Educational Plans, this study is of significant importance in identifying those factors that …

Applied Behavior Analysis: Perspectives Of Mississippi Students Before They Enter The Educational Behavioral Consulting Field, Lauren Ashley Besong

Theses and Dissertations

This thesis analyzes how prospective Applied Behavior Analysis (ABA) professionals are enculturated through their educational pathways at one public university in Mississippi. I surveyed 24 current and prior students of the ABA program, as well as interviewed 1 prior and 10 current ABA students. Findings captured their perceptions of the field they are entering, through their experiences within the program. Results found that the ABA field appears to be split in a dual identity, existing in both educational and clinical spaces. Results showed that external perceptions of the institution viewed the ABA program as more clinical, while the students were …

Effects Of Eugenol And Carvacrol In Combination Against Salmonella In Hummus, Lauryn Ashley Heidelberg

Theses and Dissertations

Hummus consumption has risen but multiple foodborne outbreaks due to Salmonella contamination have been reported. Essential oils (EOs) eugenol and carvacrol have been found to inhibit the growth and survival of Salmonella in food products. The objective was to evaluate antibacterial properties of various concentrations of eugenol (EU) and carvacrol (CA), alone or in combination (EUCA) against Salmonella in vitro and in hummus. Eugenol demonstrated a MIC of 0.125 mg/mL and an MBC of 0.25 mg/mL, while carvacrol showed a MIC of 0.0625 mg/mL and an MBC of 0.125 mg/mL. In the hummus study, 2% EUCA was the most effective …

Identification Of Bacterial Species Composition And Diversity Of Chicken Breast Meat During Processing., Lizzie Raquel Zaldivar

Theses and Dissertations

Understanding the bacterial profile of chicken during processing is essential to identify spoilage-related bacteria. Using advanced methods like Oxford Nanopore sequencing, specific bacterial species on chicken meat can be identified. This study aimed to characterize bacterial composition and diversity on chicken breast during processing. Results showed a reduction in aerobic bacteria, E. coli, coliform, and lactic acid bacteria counts. However, three thermophilic bacteria, Anoxybacillus contaminants, Neobacillus thermocopriae, and Anoxybacillus flavithermus, dominated across processing steps. Notably, Pseudomonas species were undetected by conventional plating but identified via Nanopore sequencing, highlighting the need for molecular detection methods. Although antimicrobial interventions significantly reduced bacterial …

The Effect Of Teacher Efficacy On Career Technical Education Program Participation In Select Mississippi Schools, Lori Parkman Nail

Theses and Dissertations

The primary purpose of this study was to determine to what degree school staff understood the benefits and outcomes of Career Technical Education programs and how this level of understanding impacted Career Technical Education program enrollment in five selected schools in Mississippi. The levels of understanding keyed in on three pivotal factors. First, perceptions of the availability and accessibility of Career Technical Education programs to students in the participating schools were measured. Second, the perceptions of the benefits students reap from being involved in Career Technical Education programs were examined. Next, the perceptions of the benefits Career Technical Education programs …

Description And Influence Of Diseases On The East Mississippi Catfish Industry, And The Role Of Clay Minerals, Iron, And Aluminum Salts In The Susceptibility Of Channel Catfish To Aeromonas Hydrophila And Edwardsiella Ictaluri, Mark Alan Peterman

Theses and Dissertations

In 2014, a virulent clonal group of Aeromonas hydrophila (VAH) was the predominant disease impacting the east Mississippi (EMS) commercial catfish industry. The EMS aquatic ambulatory service observed an area not prone to VAH outbreaks. In addition, frequent underestimations of the scope and economic impact of the EMS catfish industry and its diseases warranted a descriptive effort. Therefore, the EMS catfish industry, its economic impact, the diseases of this region and their economic impact were described. Further, differences in water and geological chemistry of the area not prone to VAH outbreaks, and the sensitivity of VAH and Edwardsiella ictaluri to …

Predicting Vegetation Override Force For Off-Road Autonomy, Marc Nicholas Moore

Theses and Dissertations

Vegetation override is an important aspect of off-road ground vehicle mobility. An autonomous ground vehicle’s (AGV) perception system must distinguish between vegetation that can be easily driven through from vegetation that cannot. Predicting the resistance of vegetation could allow path- planning systems to make this distinction. However, despite its importance, direct measurement of vegetation resistance is rare, as most studies use indirect proprioceptive data, such as inertial measurements, as proxies for override force. Notably, there is a lack of empirical data on the override resistance of small stems (< 2.5 cm) and clusters of vegetation on medium-sized (approx. 1000kg) vehicles. To address this gap, a comprehensive dataset of override measurements was collected for clumps of small vegetation relevant to intermediate-sized AGVs navigating off-road terrain. This dataset includes over 70 recordings using the Robot Operating System (ROS) during controlled driving experiments through small trees, grasses, and bushes. The collected data includes light detection and ranging (LiDAR) scans, imagery, force measurements from integrated load cells, and simultaneous localization and mapping (SLAM) information. A key contribution of this research is the development and calibration of a custom push bar system equipped with load cells to directly measure override forces. These measurements are compared to empirical models previously developed by the U.S. Army Corps of Engineers for larger single-stem vegetation. A preprocessing pipeline was developed to automatically extract and label LiDAR and camera data according to these force measurements. This self-labeled dataset was then used to train machine learning models that predict override resistance of vegetation from LiDAR and camera scans alone. This research characterizes the relationship between override forces and the observable features of vegetation as measured by LiDAR and camera sensors. Deep learning models were developed and trained to predict override forces based on different input modalities and features derived from point clouds and images. The performance of these models was compared across various input features to investigate how deep learning can create a generalizable and accurate force prediction system.

Bridging Scales Integrating Satellite Derived With Airborne And Uas-Collected Bathymetry For Coastal And Inland Water Management, Md Salman Bashit

Theses and Dissertations

This study makes important scientific contributions by improving remote sensing methods for collecting bathymetric data. It demonstrates an improved and novel approach to utilizing Sentinel-2 reflectance data to extract satellite-derived bathymetry (SDB), validated against data from airborne LiDAR bathymetry (ALB). The study looks at how well SDB works in several coastal areas of the United States. It uses the Normalized Difference Turbidity Index (NDTI) and Total Suspended Solids (TSS) to see how water quality affects the accuracy of SDB. The study also analyzes how unoccupied aerial systems (UAS) can be combined with echo sounder systems to derive bathymetric maps with …

Invasive Bigheaded Carp Distribution Patterns In Oxbow Lakes Of The Lower Mississippi Alluvial Valley, Michaela Ann Palmieri

Theses and Dissertations

Large populations of Silver Carp (Hypophthalmichthys molitrix) and Bighead Carp (H. nobilis), collectively called bigheaded carps, may have significant impacts where they are invasive. In the Lower Mississippi Alluvial Valley (LMAV), bigheaded carps have been documented in major rivers; however, knowledge of their distribution in oxbow lakes is lacking. Species distribution models are tools that can be used to estimate species distribution with presence data and environmental variables. As a cost-effective alternative to onsite sampling, I administered a questionnaire to biologists to inventory bigheaded carp presence and obtained environmental data from existing datasets. I used Maximum Entropy (Maxent) to illustrate …

A Comparison Of Reading Fluency Interventions: Group Repeated Reading And Rapid Read, Michelle Renee Poynter

Theses and Dissertations

Reading fluency is a crucial skill to learn to be successful in school and in life. Research indicates that the most effective and widely used group interventions to increase children’s reading fluency such as repeated reading have been used with minimal to no modifications since their development. Although there are many reading fluency strategies and interventions to select from, few group reading fluency interventions have emerged in the literature with enough evidence to support their use. It is crucial to implement effective and efficient group reading fluency intervention to decrease the time the student spends instructionally behind peers as well …

Numerical Predictions Of Turbulent Heat Transfer In Liquid Metal Flows, Mohammed Elmellouki

Theses and Dissertations

Fast breeder nuclear reactors use liquid metals such as Sodium (Na), Sodium-Potassium (Na-K), and Lead (Pb) as coolants since these liquids have high thermal conductivity, high thermal diffusivity, and lower heat capacity compared to water and air, thus involving low Prandtl numbers (Pr). However, liquid metals solidify at room temperature which poses challenges for experimental studies, making computational fluid dynamics (CFD) is considered a valuable analysis and design tool. Furthermore, the accurate modeling of turbulent heat transfer in low Pr flows remains one of the main challenges due to the gap between momentum and turbulent thermal diffusion. The study aims …

Examining Special Education Programming Through The Lens Of Upper Elementary And High School General Education Teachers In Select Black Rural Schools In Mississippi - Do They Feel Prepared To Serve?, Natasha Michelle Porter

Theses and Dissertations

The present study investigated the perceptions of upper elementary and high school general education teachers towards special education programming and whether they felt prepared to meet the needs of students with Individualized Education Plans. The literature review provided a comprehensive synthesis of existing research on the topic researched, offering an in-depth exploration of key themes, trends, and findings in the relevant academic literature. It critically examined assorted studies, theories, and methodologies researchers employ, identifying gaps and areas of consensus. The purpose of this study was to build from the foundation set by existing bodies of related literature, to gain formal …

Impact Of Cascading Optical Processes On Spectroscopic Quantification Of Absorption And Scattering Properties Of Samples, Pathum Dilshan De Silva Wathudura

Theses and Dissertations

Light absorption and scattering are fundamental properties of matter, particularly significant in nanoscale materials. This study explores how cascading optical processes affect the experimental measurement of absorption and scattering intensities, along with scattering depolarization, in samples containing absorbers and scatterers. The experimental UV–vis spectrum results from the combination of absorption and scattering extinction spectra. However, the maximum measurable extinction may be limited by forward scattered light. Light absorption decreases the intensity of scattered light and influences scattering depolarization. While scattering can reduce absorption along the optical path to the detector, sufficient absorption of the scattered light may counterbalance this effect, …

Comparative Analysis Of Conventional And Non-Conventional Current Transformers: Advancements, Applications, And Implications For Modern Power Systems, Phalguni Morla

Theses and Dissertations

This thesis, titled "Comparative Analysis of Conventional and Non-Conventional Current Transformers: Advancements, Applications, and Implications for Modern Power Systems," examines the performance and challenges of conventional and non-conventional current transformers (CTs). Conventional CTs, while reliable in traditional power systems, face issues like core saturation, mechanical stress, and environmental limitations, making them less suited for modern, dynamic systems. Non-conventional CTs, such as optical and Rogowski coil-based transformers, offer higher accuracy and better adaptability, especially in digital applications like smart grids. Through experiments, the study compares the thermal performance, accuracy, and load-handling abilities of both CT types. Results show that while conventional …

Analysis Of Cortical Evoked Auditory Response Detection In Adults Using Machine Learning, Pranavi Beerelli

Theses and Dissertations

This study focuses on the use of machine learning (ML) techniques to automate the detection of Cortical Evoked Auditory Responses (CEARs), which are key in understanding how the auditory cortex processes sound stimuli. Traditionally, analyzing these auditory responses has relied on manual interpretation by audiologists, a process that can introduce variability and human error, particularly in complex cases. To address this challenge, the research utilizes advanced deep learning models, including Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Bidirectional LSTM (BiLSTM) architectures, to analyze Electroencephalography (EEG) data and classify the presence or absence of auditory responses automatically. …

Serving Students With Specific Learning Disabilities: Identifying Prevalent Eligibility Practices In Mississippi, Phyllis Marie Yucatonis

Theses and Dissertations

This study investigated the determination eligibility practices for Specific Learning Disabilities (SLD) within Mississippi school districts, framed by the Individuals with Disabilities Education Act 2004 (IDEA) and Mississippi Department of Education (MDE) guidelines. A survey of 139 educational professionals in Mississippi offered insights into the methods preferred for determining SLD eligibility and the decision-making factors at the district level. The study examined commonly used methods for determining SLD, the challenges faced during the process, the need for professional development, the impact of educator demographics on SLD determination eligibility and general satisfaction with the SLD eligibility determination process. It also explored …

Evaluation Of The Physical And Mechanical Properties Of Hardwoods And Softwood Cross Laminated Timber, Richard Olakunle Omotayo

Theses and Dissertations

This thesis is focused on the evaluation of cross laminated timber made from southern pine lumber and low-grade hardwood species (which included red oak, sweetgum, and yellow poplar) growing in the southeastern part of the United States. The properties of interest were density, modulus of elasticity (MOE), modulus of rupture (MOR) and dynamic modulus of elasticity (dMOE). Mechanical testing using static bending technique was used to determine MOE and MOR and non-destructive technique (NDT) was used to predict dMOE. The results from mechanical testing showed that over 98% of low-grade hardwood CLT samples exceeded 8300 MPa. This proved the suitability …

Deep Learning - Based Automated Detection And Classification Of Foreign Materials In Poultry Using Color And Hyperspectral Imaging, Rohini Maram

Theses and Dissertations

This thesis explores the use of Deep learning for detection and classification of small foreign materials (FMs) in poultry meat using color and hyperspectral imagery (HSI). The study employs You only look once (YOLO) object detection models on color images for precise localization, and one-dimensional convolutional neural network (1D CNN), two-dimensional convolutional neural network (2D CNN) was used on HSI (600 – 1700 nm) for classification. Twelve different FMs commonly known as polymers including PVC, PET, LDPE and HDPE, were examined using 52 color and 52 hyperspectral images. Four YOLO models (v5x, v7x, v8x, v10x) were implemented, trained, tested and …

Habitat Suitability Modeling For Optimizing Stand Initiation And Restoration Efforts Of Economically And Ecologically Important Hardwoods, Segun Michael Adeyemo

Theses and Dissertations

This dissertation addresses critical challenges in forest management and restoration in the Lower Mississippi Alluvial Valley (LMAV) through a series of interconnected studies focused on improving habitat suitability modeling and growth prediction for oak species. The research employs advanced modeling techniques to enhance our understanding of species-habitat relationships and forest dynamics in the context of climate change. Initial studies focused on developing ensemble habitat suitability models for American chestnut (Castanea dentata) and butternut (Juglans cinerea), two historically important but currently threatened tree species. These models predict suitable habitats and potential range shifts under various climate change scenarios, highlighting the species' …

The Legal Environment Associated With Disputes From Conservation Easements On Private Property In The United States Of America, Thera J. Mullen

Theses and Dissertations

Conservation of natural resources on private land helps protect property against increasing civilization needs. Integrating conservation with property rights is necessary to understand conservation easements' implications as legally binding agreements. Conservation easements, used by different agencies, allow the land to remain privately owned while protecting natural conservation qualities. The legal aspects involve both creating the contract and enforcing it. Litigation becomes involved when the parties of the easement start to have disagreements. Little literature is currently present on this topic, so this study analyzed and summarized legal disputes related to conservation easements being implemented on private property. Some potential implications …

Improved Vector Pruning For Partially Observable Markov Decision Processes, Thomas Jonathan Bowman

Theses and Dissertations

Exact dynamic programming algorithms for planning problems that are represented as partially observable Markov decision processes rely on a subroutine that removes, or ``prunes", dominated vectors from sets of vectors that represent piecewise-linear and convex value functions. The classic vector pruning subroutine solves one linear program per vector, where the number of variables is equal to the size of the state space and the number of constraints is equal to the number of vectors shown so far to be undominated. Thus, its scalability is limited not only by the number of linear programs it solves, but especially by their size. …

Mapping Invasive Aquatic Plants Using Deep Learning Classification And Segmentation Models, Ruchitha Yadav Prakash

Theses and Dissertations

High-resolution imagery from Uncrewed Aerial Systems (UAS) equipped with multispec tral(MSI) and RGB sensors can be used for mapping invasive aquatic species. This research employs classification models like CNN, AlexNet, VGG16, ResNet, and DenseNet, alongside segmentation models such as FCN, U-Net, SegNet, DeepLabV3+, and Mask R-CNN, to analyze and visualize four invasive aquatic species including Cuban Bulrush (Oxycaryum cubense), Water Hyacinth (Eichhornia crassipes), Juncus (Juncus effusus), and Cattail (Typha latifolia). Among the tested models, ResNet (97.44% for RGB)andDenseNet(96.20%forMSI)exhibitedthehighest classification accuracies. For segmentation tasks, FCN (75.5% for RGB) and SegNet (79.6% for MSI) excelled. The study also examines the computational complexity …

A Supervised Machine Learning Statistical Design Of Experiment Approach To Modeling The Barriers To Effective Snakebite Treatment In Ghana, Eric Nyarko, Edmund F. Agyemang, Ebenezer Kwesi Ameho, Louis Agyekum, José María Gutiérrez, Eduardo Alberto Fernandez

School of Mathematical & Statistical Sciences Faculty Publications

Background

Snakebite envenoming is a serious condition that affects 2.5 million people and causes 81,000–138,000 deaths every year, particularly in tropical and subtropical regions. The World Health Organization has set a goal to halve the deaths and disabilities related to snakebite envenoming by 2030. However, significant challenges in achieving this goal include a lack of robust research evidence related to snakebite incidence and treatment, particularly in sub-Saharan Africa. This study aimed to combine established methodologies with the latest tools in Artificial Intelligence to assess the barriers to effective snakebite treatment in Ghana.

Method

We used a MaxDiff statistical experiment design …

Constructing The Communal Body: Literary Topographies Of Underclass And Working-Class Neighborhoods In Modern Osaka (1933-1960), Ran Wei

Arts & Sciences Graduate Student Theses and Dissertations

When literary scholars examine narratives about Osaka, they have largely focused on the relationship between Osaka and Tokyo or the representations of Osaka in the national imagination. The approach tends to neglect the role that minority groups play in creating Osaka as a city of local cosmopolitanism. Centering on how Osaka writers have represented four underclass and working-class neighborhoods in the city, this dissertation scrutinizes how the narratives complicate the images of Osaka constructed by the national government and challenge the official narrative of a homogeneous Japan. Despite Osaka’s changing position within the nation-state, its importance as a home for …

An Exploration Of The Contributions Of Parenting Styles And Peer Relationships On The Emotional Expression Of Second-Generation Indian-Americans, Smitha M. Kashi

Doctoral Dissertations

This dissertation used a qualitative analysis methodology to study the contributions of parenting styles and peer relationships on the emotional expressivity of second generation Asian Indian-Americans. Seven participants participated in a 60 - 90 minute long semi-structured interview and the content was analyzed using a thematic analysis approach. Most previous research regarding this topic has been conducted on White American or European individuals and does not take into consideration the many intersectionalities that second-generation Indian-Americans hold. Many participants discussed the lack of direction they experienced in regards to learning about their emotions and disclosed that college and young adulthood provided …

The Implementation Of Artificial Intelligence In University Classrooms: Perspective And Applications, Erika Grodzki, Gary Carlin, Stefanie Powers, Hung Chum Kao

Faculty and Staff Publications & Presentations

This study examined the integration of Artificial Intelligence (AI) in university classrooms, focusing on its benefits, challenges, and the diverse perspectives of academic faculty. While AI was widely embraced in disciplines like animation and design for enhancing creativity and efficiency, traditional fields remained cautious due to concerns about academic integrity and its impact on critical thinking. By analyzing literature and case studies, the presentation highlighted AI’s transformative potential in higher education, fostering dialogue on its strategic adoption to balance innovation with ethical and pedagogical considerations.

Transcriptomic Landscape Of Mammalian Ventral Pallidum At Single-Cell Resolution, Lite Yang, Lisa Z Fang, Michelle R Lynch, Chang S Xu, Hannah J Hahm, Yufen Zhang, Monique R Heitmeier, Vincent D Costa, Vijay K Samineni, Meaghan C Creed

2020-Current year OA Pubs

The ventral pallidum (VP) is critical for motivated behaviors. While contemporary work has begun to elucidate the functional diversity of VP neurons, the molecular heterogeneity underlying this functional diversity remains incompletely understood. We used single-nucleus RNA sequencing and in situ hybridization to define the transcriptional taxonomy of VP cell types in mice, macaques, and baboons. We found transcriptional conservation between all three species, within the broader neurochemical cell types. Unique dopaminoceptive and cholinergic subclusters were identified and conserved across both primate species but had no homolog in mice. This harmonized consensus VP cellular atlas will pave the way for understanding …

How Do Religious Women Cope With Marital Conflict And Hardship? Article 2, Elizabeth M. Lyman, Loren D. Marks, David C. Dollahite, Chelom E. Leavitt, Tamara M. Chamberlain, Christina N. Cooper

Faculty Publications

Frequent and unresolved conflict is a significant relationship risk factor for divorce, but it has also been shown that religion strengthens marriages, specifically in ways that give direction and motivation for couples in resolving marital conflict or other marital hardships. Thus, a study of how successful religious couples resolve conflict is pertinent in helping us better understand how to strengthen marriages and families. Our qualitative study of 113 highly religious women of diverse faiths and races found that women’s perceived relationship or connection with God reportedly impacted conflict resolution and coping with marital hardship. Results suggest greater reconciliation and unity …