Digital Commons Network^™

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 …

Navigating Cultural Transitions: The Adaptation Experiences Of Bangladeshi International Students In The Usa, Khadiza Tul Kubra

Electronic Theses and Dissertations

This thesis explores how Bangladeshi international students adapt to life and study in the United States. I conducted in-depth interviews with students at the University of Mississippi to understand their everyday experiences. My focus was on how they manage cultural, academic, and social challenges. I used segmented assimilation theory, Berry’s acculturation model, and Bourdieu’s concept of cultural capital to guide my analysis. The findings are shared in three main parts. First, I discuss how students use community support and religious networks to feel at home. Second, I look at how they deal with language barriers, classroom culture, and identity shifts. …

Synthesis And Characterization Of Agmatine Based Carbon Dots, Suyasha Sharad Chaudhari

Electronic Theses and Dissertations

In this study, carbon dots (CDs) were synthesized from agmatine sulfate, a bioactive molecule with nitrogen-rich moiety guanidine, and citric acid, a commonly used carbon source with oxygen-rich functional groups, at controlled temperatures of 180, 200, and 220°C, as well as CDs of agmatine only at 220°C using a hydrothermal method. The synthesized CDs were characterized for its optical properties, using UV–Vis, Fluorescence, chemical properties using, Fourier transform infrared (FT-IR) spectrophotometry, structural properties using Transmission electron microscopy (TEM) and for surface charge evaluation ζ-potential was measured. UV-Visible spectra confirmed CD formation through characteristic sp² hybridization bands. The synthesized CDs exhibited …

Attitudes And Motivation Of Saudi Students Learning Chinese As A Foreign Language In Saudi Arabia, Emad Hamuh

Electronic Theses and Dissertations

This study aims to examine the attitudes and motivation of Saudi learners toward learning Chinese as a foreign language (CFL), the effectiveness of Chinese teaching pedagogy, and the learners’ perceptions of Chinese culture and its impact on cross-cultural communication. This study is qualitative in nature, incorporating a qualitative instrument of data collection (in-depth interviews). The target population includes 8 Saudi CFL learners and 4 instructors at two universities in Saudi Arabia, namely King Abdulaziz University (KAU) and the University of Jeddah (UJ). The findings revealed that some Saudi CFL learners exhibited positive attitudes toward CFL learning, primarily influenced by their …

Optimizing Infill Density For Fabricating Novel Radio Frequency Devices Utilizing Additive Manufacturing, Bibek Kattel

Electronic Theses and Dissertations

Additive manufacturing, commonly known as 3D printing, is revolutionizing radio frequency engineering. Along with rapid prototyping and fabricating complex structures, it enables varying substrate thickness and dielectric properties, which are highly beneficial for radio frequency research. However, despite its growing popularity, there’s a gap in understanding how 3D printing process parameters affect the electrical properties of the 3D printed structure. In radio frequency design, where device performance and characteristics heavily depend on electrical parameters such as relative permittivity, this hinders the consistency, repeatability, and reliability of 3D printed radio frequency devices.

This research addressed this gap by investigating the relationship …

Exploring Simplified Reservoir Computing Systems For Resource-Constrained Edge Ai Hardware, Ziyi Niu

Electronic Theses and Dissertations

Echo State Networks (ESNs) have emerged as a promising paradigm for modeling complex temporal dynamics due to their unique architecture in which only the output weights require training, while the recurrent internal reservoir remains fixed. This characteristic significantly reduces training complexity and computation time, making ESNs particularly attractive for real-time processing and resource-constrained, low-power hardware implementations. However, conventional ESNs typically employ the computationally demanding hyperbolic tangent (tanh) activation function within the reservoir neurons, which poses challenges for efficient hardware realization. To address this limitation, recent research has focused on exploring alternative lightweight activation functions—including Logistic, Tent, tanh-Linear, ReLU, and Quadratic …

Storytelling In Context: How Resources Enable And Constrain The Stories Entrepreneurs Tell, John J. Rogers

Electronic Theses and Dissertations

This dissertation investigates how entrepreneurial storytelling is shaped by and shapes its material and cultural context, extending the Theory of Cultural Entrepreneurship (TOCE). While TOCE highlights storytelling as a mechanism through which entrepreneurs construct legitimacy and secure resources by drawing on culturally resonant narratives, prior research has largely overlooked the constraining and enabling role of material resources in this process. This dissertation addresses this gap by examining how context functions, not merely as a backdrop but as a constitutive force in entrepreneurial storytelling. Using ethnographic methods, two studies were conducted at a regenerative farm and processing facility in rural Mississippi. …

The Characterization Of Radiation Forces Using Tunable Acoustic Lenses, Sina Rostami

Electronic Theses and Dissertations

This dissertation investigates the design, analysis, and optimization of tunable acoustic lenses with a primary focus on beamforming, dynamic focusing, and the generation of limited diffraction beams. The study examines the performance of four-channel and six-channel lenses in producing highly controlled ultrasonic fields with minimal diffraction. Numerical simulations and experimental validation are used to demonstrate how these lenses effectively form focused beams that maintain spatial coherence over a range of distances.

A systematic comparison between the four-channel and six-channel lenses is performed at multiple focal configurations (5.5 cm, 7.8 cm, and 10.0 cm). The results show that both lens types …

An Evaluation Of A Collaborative Effort In High School Science Classes To Support Teaching And Learning Through Professional Development, Shalanda Saulsberry

Electronic Theses and Dissertations

The purpose of this study was to improve high school teachers’ instructional practices through professional learning. This applied research study, using program evaluation, sought to improve science instruction in building their capacity through instructional practices. Faculty interest was created from reviewing various school and district data sources, observing the practices of science teachers, and having informal conversations with students about learning. Although professional development was provided in the past, there was a need for content-specific science professional learning to change teachers’ instructional practices. Through targeted professional development sessions, as well as observation and feedback, there was a goal of increasing …

Maximum Likelihood Estimation For Partially Observed Markov Model Using Different Tail Perturbations, Zamzam Qazi

Electronic Theses and Dissertations

This work is about parameter estimation of POMP models using the two-time scale Iterated Filtering algorithms with p-generalized Gaussian perturbations. The algorithms are effective for estimating numerous types of infectious disease models such as COVID-19, influenza or various other diseases. First, we introduce the generalization of Stein’s identity for normal distribution to p-generalized Gaussian distribution, which enables more flexible perturbation with different tail behaviors. Then, we provide proofs and verify their authenticity by applying them in black box optimization as well as optimization of multivariate state space models. Also, we propose a novel weighted average algorithm for maximizing likelihood through …

Microgravity-Induced Effects On Global Gene Fitness And Secondary Metabolite Yield In Bacteria, Gayatri Sharma

Electronic Theses and Dissertations

Bacteria are ubiquitous and capable of colonizing nearly any environment, including extreme conditions such as deep oceans, high altitudes, and even space-faring vehicles. These vehicles present unique stresses not found on Earth such as microgravity and radiation. As space exploration advances, understanding how microgravity affects bacterial life has become increasingly important. Over the past 60 years, studies using both real and simulated microgravity have revealed species-specific responses, collectively indicating broad changes in bacterial function and physiological adaptations.

Initially, this study examined Novosphingobium aromaticivorans, a lignin-degrading bacterium detected in spacecraft cleanroom environments by assessing gene fitness during growth in microgravity on …

Efficient Hierarchical Design In Reservoir Computing, Shuai Song

Electronic Theses and Dissertations

Reservoir Computing (RC) has established itself as a compelling paradigm for modeling complex temporal dynamics, particularly owing to its efficient training regime, theoretical grounding in dynamical systems, and growing compatibility with hardware-oriented deployments. Among RC variants, Echo State Networks (ESNs) remain popular due to their simplicity and effectiveness; however, traditional ESNs with densely connected, randomly initialized reservoirs present inherent limitations in scalability, energy efficiency, and hardware realizability challenges that hinder their adoption in edge and embedded intelligence scenarios.

In this work, we present an efficient hierarchical reservoir computing framework that integrates three complementary strategies: (1) deterministic Simple Cycle Reservoirs (SCRs) …

1:1 Ipad Implementation & Standardized Testing, Kristen Lane Whitehead Zemek

Electronic Theses and Dissertations

This study investigates the relationship between 1:1 iPad implementation and student performance on the Mississippi Academic Assessment Program (MAAP) standardized tests. As school districts increasingly adopt 1:1 technology initiatives, it is critical to understand their impact on key academic outcomes. This research examines the extent to which the consistent use of iPads in the learning environment influences student achievement in core subjects. By analyzing test score data from schools with established 1:1 iPad programs, this paper seeks to provide empirical evidence to inform educational stakeholders, administrators, and policymakers. The findings aim to contribute to the broader discourse on technology integration …

Modeling Capillary-Gravity Wave Scattering With Contact Lines And Meniscus, Guoqin Liu

Electronic Theses and Dissertations

Capillary–gravity wave scattering is crucial in fluid systems governed by gravitational and surface tension forces, yet classical theories often neglect key boundary and geometric effects. This dissertation examines two influential mechanisms—dynamic contact line conditions and meniscus curvature—that significantly affect wave behavior at smaller scales.

First, a semi-analytical framework is presented to show how dynamic contact lines, modeled by an effective-slip boundary, alter wave reflection and transmission around a fixed, semi-immersed cylindrical barrier. Using linear potential flow theory combined with conformal mapping and integral-equation methods, the study quantifies how barrier geometry, Bond number, and slip parameters shape energy dissipation. It identifies …

Teacher Perceptions And Student Self-Reports: Examining Aggression, Delinquency, And Contextual Correlates In Education And Non-Educational Settings, Abigail Claire Boozer

Electronic Theses and Dissertations

This study investigates the relationship between teacher-perceived delinquency and student self-reported delinquency, utilizing data from the LONGSCAN data set. The research also examines whether the correlates of these behaviors differ across classroom and non-classroom settings, offering insights into the contextual dynamics of delinquency. Grounded in labeling theory, this study explores the influence of teacher perceptions on student behavior, highlighting how labeling may reinforce or mitigate patterns of aggression and delinquency. By leveraging the rich longitudinal data from LONGSCAN, the research identifies key demographic, familial, and environmental factors that contribute to these behaviors. The findings aim to inform educational interventions and …

Structure And Function Of Sulfated Fucans And Fucosylated Chondroitin Sulfates: Therapeutic And Mechanistic Insights, Marwa Farrag

Electronic Theses and Dissertations

Glycosaminoglycans (GAGs) are heteropolysaccharides widely exploited in the clinic and as molecular models in biomedical research. Marine-derived GAG analogs, particularly sulfated fucans and fucosylated chondroitin sulfates exhibit unique and diverse glycan motifs that are not found in the typical mammalian GAGs. The distinctive structures of the marine sulfated glycans (MSGs) not only expand the structural landscape of GAG-like molecules but also provide valuable platforms to elucidate structure-activity relationships and explore their potential as novel scaffolds for glycan-based therapeutic development. This dissertation presents the isolation, structural characterization, controlled depolymerization, and functional evaluation of several MSGs, highlighting their therapeutic potential, particularly those …

Sentiment Driven Deep Learning Approach In Stock Market Prediction, Zhiqi Niu

Electronic Theses and Dissertations

With the rapid development of Artificial Intelligence (AI) technology, its application in the financial field has moved from theoretical exploration to practical deployment. Especially in stock market forecasting, machine learning (ML) and deep learning (DL) have significantly improved the performance of traditional statistical methods by analyzing massive historical data. However, the stock market is affected by multiple dynamic factors, including macroeconomic indicators (e.g., GDP, interest rates), company fundamentals (e.g., earnings reports, management changes), technical indicators (e.g., moving averages, trading volume), and unforeseen black swan events (e.g., political unrest, natural disasters). These nonlinear interactions of these factors makes stock price prediction …