Digital Commons Network^™

Teachers’ Perspectives On Incorporating Moodle In A Ninth-Grade Reading Classroom, Cathy L. Miamba

Electronic Theses and Dissertations

Effective technology use in the classroom can help stimulate a variety of learning styles and engage students through fun and exciting activities that help the students comprehend the content. Although research reported the benefits of technology in the classroom, there is a lack of knowledge of the effects of technology like Moodle on students’ academic scores, engagement, motivation, and overall achievement. As such, the problem addressed in this study was the lack of effective use of technology that affects students’ motivation, engagement, and achievements in the classroom. Using Vygotsky’s constructivism theory as the theoretical foundation and qualitative case study as …

K–12 Educators’ Use Of Technology And Experiences With Technostress: A Case Study, Greg Blair Pittman

Electronic Theses and Dissertations

Abstract

This dissertation explored the increased use of technology in K–12 classrooms, which is causing educators to experience technostress. The purpose of the qualitative, descriptive, single case study was to explore the experiences of K–12 teachers with technology and technostress—techno-insecurity, techno-invasion, techno-complexity, techno-uncertainty, and techno-overload—in a West Texas private school district. The researcher conducted one-to-one interviews with seven K-12 educators and two senior leadership team members. In addition, open-ended online questionnaires were available for K–12 educators and senior leadership team members. Thematic analysis was used to locate and communicate the findings. The principal research question was: How do K–12 classroom …

A Pragmatic Legacy: Charles Wilson’S Politics And The Battle For His Archival Heritage, Jordan Coleman

Electronic Theses and Dissertations

Congressman Charlie Wilson served Texas and the United States with distinction throughout his political career, leaving a profound impact on East Texas and the global stage. Known for his progressive policies in the Texas Legislature and his influential role in U.S. foreign policy during his tenure in Congress, Wilson’s pragmatic political career and legacy is preserved in the Charlie Wilson Congressional Papers collection at the East Texas Research Center (ETRC). Despite its historical significance, the collection faced decades of delayed processing, disorganization, and neglect of archival best practices. This public history thesis confronts these challenges by detailing the efforts to …

The Lived Experiences Of African American Women In Predominantly White Higher Education Institutions In Texas And Their Journey To Advancement To Tenure, Wanda Yvonne Carter-Dyer

Electronic Theses and Dissertations

Abstract

African American women are underrepresented in predominantly White higher education institutions in Texas. Inconsistent treatment and policies have contributed to the disparate numbers of African American women in predominately White institutions. African American women are subjected to discrimination based on race, sex, and color. The problem investigated in this study was the barriers to African American tenure-seeking women in predominately White institutions. Barriers discussed in those interviews were discrimination, equity, inclusion, lack of support systems, organizational culture and relationships, and mentors. Six African American women in PWIs in Texas were interviewed to give a voice to the barriers experienced …

Polylactic Acid-Based Sustainable Hybrid Nanobiocomposites, Utsab Roy Ayan

Electronic Theses and Dissertations

Optimized extrusion melt-blending of polylactic acid (PLA) polymer with a minor biopolymeric phase, polybutylene adipate terephthalate (PBAT), and compatibilized with random ethylene-methyl acrylate-glycidyl methacrylate terpolymer (EMA-GMA, Trademark: Lotader® AX-8900) led to an outstanding improvement in mechanical properties. At the non-compatibilized PLA/PBAT (80/20) blend point, significant enhancement (~4500%) in toughness and elongation-at-break was already obtained without compromising any elastic properties. Lotader content at 2 wt.% was determined to be optimal by numerical optimization methodology to maximize toughness and elongation-at-break. Upon adding the compatibilizer, the original phase-separated morphology of the blends changed from PBAT quasi-spherical domains to nearly elongated elliptical ones. The …

Deep Learning Approaches For Predicting Strain Energy In Heterogeneous Materials, Junesh Gautam

Electronic Theses and Dissertations

Finite Element Analysis (FEA) faces computational challenges when analyzing nonlinear and heterogeneous materials. Utilizing the Mechanical MNIST dataset, comprising 60,000 simulated samples of 28x28 pixel domains under large deformation, the study evaluates classical regression methods (Linear Regression, Random Forest, Gradient Boosting) and advanced deep learning architectures (Convolutional Neural Networks (CNN) and Residual Networks (ResNet)). CNN models achieved superior performance, with a Mean Squared Error (MSE) of 4.21 and an R2 value of approximately 0.982, outperforming classical regression models and slightly surpassing ResNet architectures. These deep learning methods automatically learn spatial relationships from pixel-based representations, eliminating the need for manual feature …

Satellite And Uas Synergy For Large-Scale Crop Canopy Cover Mapping With Deep Learning, Muhammad Ali Irshad

Electronic Theses and Dissertations

No abstract provided.

A Framework For Fair And Trustworthy Multimodal Video Anomaly Detection: Fusion, Dataset Quality Auditing, Explainability, And Fairness, Omeshamisu Judith Anigala

Electronic Theses and Dissertations

No abstract provided.

St-Hybrid: Dynamic Graph Learning With Multi-Scale Spatio-Temporal Attention For Traffic Forecasting, Dhe Yeong Ewaza Tchalla

Electronic Theses and Dissertations

Accurate short-term traffic forecasting is central to modern Intelligent Transportation Systems, supporting route guidance, adaptive signal control, and incident response. Yet producing reliable predictions remains difficult because traffic is highly non-stationary. The relationships among roadway sensors shift during congestion, incidents, weather changes, or fluctuations in demand, and the temporal structure of traffic spans several scales from abrupt minute-level variations to broader daily and weekly rhythms. Models that rely on fixed spatial graphs or a single temporal scale tend to miss these evolving and layered dependencies. This thesis addresses these challenges by developing a graph-learning framework that adapts to changing traffic …

Integrating Invasion Risk And Habitat Suitability To Guide Invasive Species Management In Wetlands, Lakes, And Rivers, Brenden M. Elwer

Electronic Theses and Dissertations

Invasive species disrupt ecosystems by altering habitats, competing with native species, and disrupting food webs. The northern Great Plains is an ecologically important region with many wetlands, lakes, and rivers that are under threat from two invasive species, Bighead (Hypophthalmichthys nobilis) and Silver Carp (H. molitrix; bigheaded carp). These large planktivores change the abundance and composition of phytoplankton and zooplankton communities which alters prey for native mussels, fishes, and, potentially, waterfowl. Bigheaded carps have invaded a portion of the Northern Great Plains, and preventing further spread is a primary management goal. My work assists these efforts by providing tools to …

Pressure-Related Discrepancies In Landsat 8 Level 2 Collection 2 Surface Reflectance Products And Their Correction, Santosh Adhikari

Electronic Theses and Dissertations

No abstract provided.

Innovative Approaches To Enhancing The Functional Properties Of Dairy Products: Evaluating Water Hydration Effects On Fat-Free Mozzarella Baking Performance And Impact Of Hyaluronic Acid On The Functional Properties Of Milk, Suresh Ganpatbhai Sutariya

Electronic Theses and Dissertations

In recent years, the dairy sector has experienced a significant rise in the healthy eating trend, with consumers increasingly seeking products that are fat-free, free from added sugars, and high in protein. Additionally, specialized health dairy items enriched with functional ingredients such as probiotics, prebiotics, and bioactive peptides are gaining traction for their added health benefits. This dissertation covers three studies in two domains: the first on water hydration's impact on fat-free mozzarella baking, and the second on the influence of hyaluronic acid, and its combination with kappa-carrageenan, on the physical properties of milk. One such product, Fat-free mozzarella is …

Safety Effectiveness Of Unsignalized Restricted Crossing U-Turn (Rcut) Intersections In Mississippi Using Empirical Bayes Before After Study, Gaurav Aryal

Electronic Theses and Dissertations

At-grade intersections on high-speed highways can be hazardous, particularly where lower-speed vehicles from minor roads must cross fast-moving traffic on major roads. To address this, the Mississippi Department of Transportation (MDOT) converted more than 20 unsignalized rural and urban intersections to the Restricted Crossing U‐Turn (RCUT) configuration between 2012 and 2022. This study provides the first before-after safety evaluation of these implementations, applying three analytical approaches: naïve before-after annual crash frequency comparison, an Improved Prediction Method (that accounts for changes in duration and AADT in before vs. after period), and a rigorous Empirical Bayes (EB) framework considering two definitions of …

Levee Breach Analysis Using Numerical Simulation Aided By Machine Learning, Mudhaffer Alqudah

Electronic Theses and Dissertations

This dissertation presents a multi-faceted framework for the prediction of geotechnical and hydraulic failure mechanisms in earthen structures, with a focus on levees and embankments. The study integrates laboratory testing, numerical modeling, and artificial intelligence (AI) to enhance the assessment and forecasting of levee performance under static and dynamic loading conditions.

The first component of the research applies various machine learning (ML) algorithms to predict Unconfined Compressive Strength (UCS) of soils using basic geotechnical parameters. Experimental data from lab-tested soil mixtures were used to train and compare models including Artificial Neural Networks (ANN), Gradient Boosting, Random Forests, K-Nearest Neighbors, Support …

Designing Security Primitives Using Digital And Analog Discrete-Time Chaotic Systems, Mrittika Chowdhury

Electronic Theses and Dissertations

In this thesis, we explore the design of lightweight, reconfigurable, and entropy-rich security primitives using both digital and analog discrete-time chaotic systems. By leveraging the inherent unpredictability, sensitivity to initial conditions, and nonlinear dynamics of chaos theory, we present two distinct architectures: a pseudo-random number generator (PRNG) built using digital chaotic maps and a physically unclonable function (PUF) constructed from a compact analog chaotic oscillator. Each system is tailored for efficient implementation on resource-constrained platforms while maintaining strong statistical and security properties.

Boundaries And Barriers: A Study On The Factors Influencing Bachelor’S Degree Attainment For Women In Arkansas At Regional Public Universities, Meagan Rochelle Bowling Fudge

Electronic Theses and Dissertations

Arkansas consistently ranks among the bottom five states nationally for bachelor’s degree attainment. To explore the factors contributing to this trend and identify opportunities for increasing degree completion, this study focuses on women attending Regional Public Universities (RPUs) in Arkansas. By examining the barriers these women face, this research aims to uncover critical gaps and inform future areas for research, policy, and investment.

Women represent the largest segment of undergraduate enrollment in the state, consistently enrolling in college at higher rates than their male peers. RPUs enroll more bachelor's degree-seeking students than any other type of institution in Arkansas, including …

Multi-Hazard Analysis Of Bridges Under Seismic, Flood-Induced Scour, And Hydrodynamic Loading, Raul Gautam

Electronic Theses and Dissertations

Natural disasters such as floods and earthquakes pose significant threats to the resilience of highway transportation systems, particularly compromising the safety and serviceability of bridges. In regions susceptible to both seismic activity and flooding, the combined effects of earthquake loading, flood-induced scour, and hydrodynamic forces create a critical multi-hazard scenario. This research develops a comprehensive multi-hazard analysis framework to evaluate bridge performance under combined seismic and flood-induced hazards. Three-dimensional finite element (FE) models of representative three- and six-span steel girder bridges are developed and analyzed under varying scour depths and hydrodynamic loading conditions. Modal analysis, static pushover analysis, and non-linear …

Measuring The Dynamic Exponent Across The Excitation Spectrum Of The Fredkin Spin Chain, Coleman Kristopher Irby

Electronic Theses and Dissertations

Spin chains are thoroughly studied models used throughout statistical physics. They make considerable simplifications to complex many-body systems that allow us to analyze complex behaviors such as phase transitions. With these large interacting systems, it is often impossible to solve them analytically. However, with the advent of digital computers, we are able to investigate these models numerically and to extrapolate to the thermodynamic limit. Our area of study concerns the Fredkin Spin Chain model. The Fredkin Spin Chain is a well studied model which has an exactly solvable ground state and an unusually large dynamical exponent, z. Much analysis has …

Secure Wireless Communication With Intelligent Reflecting Surfaces, Babita Pradhan

Electronic Theses and Dissertations

With the promising use of Intelligent Reflecting Surface (IRS) for enhancing the security in wireless communication, this dissertation explores secure wireless communication facilitated by IRS to improve the secrecy rate of the system. We consider a multiple-input single-output (MISO) communication system supported by the IRS in the presence of a single legitimate user (Bob) and an illegitimate user (Eve).

First, we focus on maximizing the secrecy rate of the system through joint optimization of transmit beamforming and the phase shifts of the IRS elements. We examine two methods: (1) Method 1, which directly optimizes the secrecy rate as the objective …

Slope Stability Hazard Investigation Of Calhoun County, Mississippi And The County Road 210 Landslide, Miles Heath Grames

Electronic Theses and Dissertations

This thesis uses geological field data, laboratory characterization of sediments, and multiple computational models of slope stability to investigate a landslide that occurred in Calhoun County, Mississippi. The primary hypothesis is that intense rainfall led to the saturation of the slope, triggering failure through the reduction of shear strength.

Fieldwork included drilling at the failure site to obtain subsurface samples and drone-based site characterizations. Laboratory analysis included soil descriptions, grain size analysis, and Atterberg limit testing. Sample characterizations revealed a stratified soil profile dominated by fine-grained silts and clays, including an organic-rich lignite layer (OL). Strata generally exhibit low permeability …

Leveraging The Zebrafish Model For The Study Of Human Health Impacts Of Particulate Matter Exposure: Exploring Biological Effects Of Fuel Source Emissions, Autism Spectrum Disorder-Like Behaviors, And Molecular-Level Reproductive Impacts, Shayla Victoria

Electronic Theses and Dissertations

Particulate matter (PM) is the solid and liquid portion of air pollution that can be found at various size fractions, including PM2.5, which is 2.5 μm or smaller in aerodynamic diameter. PM is a complex mixture, containing a wide variety of chemical constituents, including inorganic compounds (heavy metals), organic compounds (polycyclic aromatic hydrocarbons), and pesticides, that have been individually linked to human health impacts. These include cardiovascular and respiratory conditions, but due to its small size and chemical composition, PM has the ability enter into systemic circulation and cause dysregulation of other physiological processes, such as neurodevelopment and reproduction, which …

Improving Detection Capabilities Of Traditional Machine Learning (Ml) Algorithms Against Data Poisoning Attacks On Image Data, Sabrina Perry

Electronic Theses and Dissertations

Machine learning (ML) algorithms play a critical role in automated decision-making systems across domains such as healthcare, finance, and autonomous systems. However, these models are increasingly vulnerable to adversarial threats, particularly poisoning attacks that manipulate training data without the knowledge of the ML developers. As ML models are often trained on publicly available data, data poisoning is trivial for attackers to perform, with no way to determine if training data is legitimate, poisoned during data collection, or poisoned during training in the current ML training pipeline.

This dissertation investigates data poisoning attacks, with a focus on label flipping and gradient …

Data-Driven Modeling Of Levee Failure: A State-Of-The-Art Approach For Integrating Artificial Intelligence Techniques With Hydraulic Erosion And Geotechnical Characterization, Haitham O. Saleh

Electronic Theses and Dissertations

Flooding is one of the most destructive natural disasters in the United States, often resulting in catastrophic damage to communities and infrastructure. The primary flood-protection structures, earthen dams and levees, are critical for mitigating these impacts. In Mississippi alone, there are over 2,800 dams and 3,750 miles of levees along the Mississippi River and its tributaries. Of this, nearly 2,200 miles are along the mainstem Mississippi River, with the remaining levees situated along backwaters, tributaries, and floodways. Understanding the erosion behavior of these structures during overtopping events is essential for accurate failure prediction and risk assessment. This study focuses on …

Large Sample Theory For Some New Copula-Based Models, Sahifa Siddiqua

Electronic Theses and Dissertations

This dissertation explores continuous-state stationary reversible Markov chains generated by a new family of absolutely continuous symmetric copulas that have square-integrable densities. We examine and define parameter estimation techniques for the Markov chains generated by the new family of copulas and different marginals. Furthermore, we provide the joint limiting distributions and confidence intervals/regions of these estimators. We also look into the parameter estimation and it’s limiting distributions for bivariate independent data generated by the new family of copula and various marginal distributions. A simulation study using R is proposed to support our findings.

Comprehensibility, Accentedness, And Intelligibility Of English Varieties As Perceived By Japanese Learners Of English, Kana Machida

Electronic Theses and Dissertations

In response to Japanese learners of English having limited exposure to various English accents in education, this study investigates their comprehensibility, accentedness, intelligibility, and familiarity with different accents. Twelve participants evaluated how easy speakers were to understand and the extent of their accentedness, and transcribed their speech.

Quantitative analysis revealed that Japanese learners of English struggle with understanding certain accented varieties of English, particularly Nigerian English, and are unfamiliar with them. In contrast, General American English and Southern American English speakers were generally perceived as less accented and easier to understand. However, results from the listening transcription task indicated that …

Voltage-Dependent Anion-Selective Channels 1 And 2 Wild Type And Mutant Bh3-Like Domain Peptides: Analysis Of Secondary Structure And Binding Stoichiometry To Recombinant Bax, Geanell C. Adams

Electronic Theses and Dissertations

Despite national efforts to increase female participation in science, technology, engineering, and mathematics (STEM), women remain significantly underrepresented in collegiate STEM programs. This pilot study sought to identify pre-collegiate factors that influence female students’ decisions to enroll and persist in STEM collegiate programs at the University of Mississippi, a predominantly white R1 research institution using qualitative methods. Grounded in Bandura’s Social Learning Theory, the research examined the environmental, behavioral, and personal determinants that shape academic pathways for women in STEM.

Data were collected through semi-structured interviews with six sophomore female STEM majors. Thematic analysis revealed that early exposure to structured …

Non-Standard Interaction Effects On Neutrino Oscillations In Dune, Ehsan Farooq

Electronic Theses and Dissertations

In this work, we aim to investigate the effects of matter-induced neutrino oscillations and non-standard interactions (NSIs) in long-baseline neutrino experiments, with a focus on long base line neutrino oscillation experiments, the Deep Underground Neutrino Experiment (DUNE) and the Neutrino at Main Injector( NuMI) Off-Axis electron-neutrino Appearance (NOvA) Experiment. Neutrino propagation through matter can be significantly modified by both the standard Mikheyev–Smirnov–Wolfenstein (MSW) effect and possible NSIs, which introduce additional flavor-dependent interactions beyond the Standard Model. We will systematically vary the NSI parameters to study how they enhance or suppress the neutrino oscillation probabilities, particularly for appearance and disappearance channels. …

The Collaborative Effect Of Ceo-Cfo Power Differentials: What Is The Impact On Performance?, Derek Wayne Henrichs

Electronic Theses and Dissertations

Survey evidence shows that in the 21st century the CFO’s power has been increasing more than any other executive position. Yet, an understanding of how this increasingly powerful executive interacts with CEO power is not fully understood. This study examines the collaborative effect of power dynamics in the CEO-CFO relationship and how that influences firm performance. I capture executive power by combining two data sets to examine three dimensions of an executive’s power: structural, individual, and social. I predict and find that certain aspects of executive power impact firm performance differently and measure this by changes in profitability. Furthermore, I …

A Study On The Geometric Design And Operations Of Restricted Crossing U-Turns, Troy Hill

Electronic Theses and Dissertations

Increasing traffic volumes and intersection-related crashes on rural highways have prompted the adoption of Restricted Crossing U-Turn (RCUT) designs as a safer and more efficient alternative to traditional intersections. RCUTs redirect minor road traffic to make right turns and U-turns, eliminating direct left turns and crossings, thereby reducing conflict points and enhancing safety. This study provides updated guidance on unsignalized RCUTs, focusing on geometric design, operational efficiency, safety performance, and cost-effectiveness. Key findings include the superior performance of shorter U-turn offsets (600–900 ft) with acceleration lanes, and the cost-effectiveness of temporary RCUTs, which offer immediate safety benefits at lower construction …

An Advanced Machine Learning Framework And Multi-Label Heart Disease Classification With Unet-Based Nucleus Segmentation, Md Rahat Kader Khan

Electronic Theses and Dissertations

The growing demand for accurate, rapid, and interpretable diagnostic tools in the medical field has spurred the integration of artificial intelligence into various healthcare applications. Acute Myocardial Infarction, which remains one of the primary causes of mortality in both developed and developing nations, requires timely and precise identification to prevent life-threatening complications. In response to the lack of interpretable AI models tailored to diagnosing AMI using hemogram parameters, this study presents a robust machine learning-based framework that explores the diagnostic potential of these parameters. By evaluating several machine learning techniques, the research establishes the superiority of boosting algorithms, particularly the …