Digital Commons Network^™

The Association Between The Number Of Languages Spoken, Working Memory, And Emotional Regulation In Monolingual English Speakers And Fluent Multilingual English And Non-English Speakers, Eun-Sung Chang

Doctoral Dissertations

Despite the growing linguistic diversity of the population in the United States, multilingual individuals remain underrepresented in psychological research and often experience disparities in access to culturally and linguistically appropriate mental health care. Using a cross-sectional design and quantitative methods, the present study examined the relationships among the number of languages spoken, working memory, and emotional regulation. A total of 94 participants (30 monolingual English speakers and 64 multilingual speakers who spoke English and at least one other language fluently) completed the Working Memory Index (WMI) of the WAIS-IV and the Difficulties in Emotion Regulation Scale (DERS). Results revealed no …

The Educational Experiences Of College Students Who Were Formerly Involved In The Juvenile Justice System, Nicole-Jasmin T. Clark

Doctoral Dissertations

In the United States, juvenile offending, reentry, and recidivism continue to be serious concerns for public and institutional policy making. Due to historical and current policies of both the education and juvenile justice system, youth of color (YOC) and youth with disabilities and diagnosed with mental health disorders have been overly disciplined by schools and disproportionately adjudicated by the juvenile justice system. In their annual Statistical Briefing Book, The Office of Juvenile Justice and Delinquency Prevention (OJJDP) has consistently reported YOC, particularly Black youth, are arrested, adjudicated, and detained at much higher rates when compared to their white peers. Research …

The Joint Effect Of Bilingualism And Sleep On Executive Functions Among Children And Adolescents With Attention Deficit/Hyperactivity Disorder (Adhd), Yirou Jiang

Doctoral Dissertations

Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that significantly impacts cognitive and behavioral functions, leading challenges for individuals across the lifespan. While extensive research has been conducted to understand the connection between executive functioning (EF) and ADHD, research findings related to the contributing factors of bilingualism and sleep still remains inconsistent (Bialystok et al., 2017). Investigating the joint effect between bilingualism and sleep on EF among children and adolescents with ADHD may help further clarify the connection between EF, language, and sleep, and facilitate the development of interventions from the perspective of these protective factors. EF encompasses cognitive processes …

Mathematical Analysis Of Within-Host Models: Viral–Immune Dynamics, Bifurcations, And Disease Severity, Nazia Afrin

Doctoral Dissertations

My research develops and analyzes ODE-based within-host models at multiple scales. Using dynamical systems theory and numerical methods, I study host–pathogen interactions and immune responses, providing insights into disease dynamics and control. The first model describes the complex dynamics of Hepatitis B virus (HBV) infection and addresses the question: what mechanisms determine whether the infection is cleared during the acute phase or progresses to a chronic state? A key feature of this model is the assumption that all classes of liver cells (uninfected, infected, and protected from reinfection) proliferate at different rates. The findings provide insight into two important aspects …

The Impact Of Evolution And Strong Allee Effects On The Dynamics Of A Discrete-Time Predator-Prey System, Neerob Basak

Doctoral Dissertations

This dissertation investigates the dynamics of discrete-time predator-prey systems, focusing on both evolutionary responses and ecological interactions. The first part of this dissertation, in Chapters 2 and 3, explores how evolutionary processes, particularly the development of resistance to toxicants in predators, influence the persistence and stability of predator-prey populations. In this part, we extend the predator-prey model developed in Ackleh et al., 2019 to incorporate the evolution of a predator's resistance to toxicant effects. We consider three cases: (1) lethal effects, where the toxicant directly influences the predator's survival; (2) sublethal effects, where the toxicant impacts the predator's fecundity, and …

An Oral History Study: The Relationship Between Curriculum And Social And Cultural Capital In The New Orleans School System, Alaina Gaugis Carter

Doctoral Dissertations

This oral history study examines how high school academic experiences in New Orleans public and charter schools have shaped graduates’ preparedness for adulthood, active citizenship, and participation as productive members of society. This study explores the relationship between curriculum, particularly scripted curriculum, and the development of social and cultural capital. The research critiques neoliberal education reforms that prioritize accountability, standardization, and market-based outcomes over relational and community-centered learning. Using oral history methodology and the currere method, semi-structured interviews were conducted with twelve New Orleans high school alumni who graduated both before and after Hurricane Katrina from public, charter, and parochial …

An Exploration Of Variables Related To Gender Role Differences And Social Relationships Among Nontraditional Bachelor's Degree Recipients, Cynthia Bourgeois Bergeron

Doctoral Dissertations

The goal of this study was to examine variables that speak to gender role differences among nontraditional bachelor’s degree recipients aged 30 to 49. These issues are particularly relevant given enrollment trends showing that the diversification of bachelor’s degree seekers has outpaced the policies and norms of traditional undergraduate education. A nonexperimental, correlational research design was employed using chi-square tests and Cramer’s V as post-hoc measures on categorical data from the 2012, 2014, and 2016 General Social Survey. Shaped by Gilligan’s moral development theory, several social variables were included in the analysis. Two statistically significant associations emerged: women earning bachelor’s …

Inference On Quantiles Of Normal Populations: One- And Multi-Sample Cases, Justin Dunnam

Doctoral Dissertations

The problems of interval estimation for quantiles of normal distributions in one- and multi-sample cases are considered. For the one-sample case, we show that the classical confidence interval (CI) based on the noncentral t (NCT) distribution and the one based on the uniformly minimum variance unbiased estimator of the population quantile are equivalent. We also propose a simple closed-form alternative CI for a quantile based on a normal approximation to the NCT distribution. In addition, fiducial distributions for population quantiles are developed using both the NCT distribution and its normal approximation. On the basis of fiducial distributions, we develop approximate …

A Bifurcation Theorem And Its Application To Discrete-Time Models In Ecology And Epidemiology, Jenita Jahangir

Doctoral Dissertations

Matrix models are useful for modeling populations or diseases that involve discrete developmental stages, multiple stages of infection, and interactions among species. To study the coexistence dynamics in matrix models, we extend a bifurcation theorem for resident-invader host-parasitoid type populations by allowing every block of the projection matrix, depending on the bifurcation parameter and the off-diagonal blocks, to be nonzero. As an application, in the first part of the dissertation, we propose a discrete-time host-parasitoid model with stage structure in both species. For this model, we establish conditions for the existence and global stability of the extinction and parasitoid-free equilibria. …

Fairness-Aware And Efficient Federated Learning Frameworks For Heterogeneous Systems, Simin Javaherian

Doctoral Dissertations

Federated Learning (FL) enables decentralized clients to collaboratively train machine learning models without sharing raw data, making it a promising paradigm for privacy-preserving intelligence across large-scale, heterogeneous systems. However, practical FL environments face significant challenges arising from variations in client resources, participation patterns, client behavior, and data distributions. These challenges often lead to inefficiency, unbalanced contributions, and unfairness, ultimately degrading model performance and discouraging long-term client participation. This dissertation advances the state of FL by developing a unified suite of fairness-aware and efficiency-driven frameworks tailored for heterogeneous environments. We investigate fairness from multiple perspectives, including client selection, contribution weighting, and …

Strang-Type Exponential Integrators For Stiff Reaction-Diffusion Systems, Saburi Tolulope Rasheed

Doctoral Dissertations

Reaction-diffusion systems, as examples of semilinear parabolic partial differential equations, have played significant roles in the mathematical modeling of physical, chemical, and biological processes. Several reaction-diffusion systems typically do not have exact solutions in closed form, and numerically solving them also comes with challenges due to the presence of the nonlinear local interaction/chemical reaction dynamics representing the reaction term, coupling between components, multidimensionality of the diffusion operator, and stiffness of the diffusion and/or reaction terms. Wederive and analyze several second-order accurate exponential integrators of the Strang type for the time discretization of stiff reaction-diffusion systems. We utilize the finite difference …

The Interplay Of Seasonality, Evolution, And Density-Dependence In Discrete-Time Predator-Prey Dynamics, Narendra Pant

Doctoral Dissertations

We extend the discrete-time mathematical models developed in (Ackleh et al., 2019) and (Ackleh et al., 2024) to account for seasonal prey reproduction and build a class of discrete-time predator-prey seasonal models. Each model distinguishes between breeding and non-breeding seasons, representing prey reproduction as a periodic function of period 2. Altogether, three different models are analyzed. In the first part, we extend the predator-prey model from (Ackleh et al., 2019) to incorporate seasonality. We study the resulting dynamics and show that when the inherent reproduction number of the prey and the invasion reproduction number of the predator are larger than …

Building And Restoring Trust In Deep Learning: From Multimodal Sensing To Generative Synthesis And Model Integrity, Liqun Shan

Doctoral Dissertations

Deep learning has become a foundational technology for modern intelligent systems used in sensing, authentication, media generation, and automated decision-making. As these systems are increasingly deployed in security- and privacy-sensitive settings, ensuring their trustworthiness has become a critical challenge. Yet deep learning models remain vulnerable to spoofed sensory inputs, synthetic media, and malicious behaviors hidden within trained networks. These vulnerabilities undermine reliability and raise serious concerns about whether such systems can be trusted under adversarial and deceptive scenarios. This dissertation investigates how to build and restore trust in deep learning across three tightly connected dimensions: multimodal sensing, generative authenticity, and …

A Qualitative Study Examining Teachers' Knowledge And Awareness In Recognizing The Characteristics Of Twice Exceptional Learners: An Underrepresented And Underserved Population, Adrianne Monique Williams

Doctoral Dissertations

Over the past 30 years, research on twice exceptional learners has been gradually increasing, however, knowledge and awareness of the information in the educational community have been slowly evolving (Bailey & Rose, 2011; Baum, 2004). Outwardly, twice exceptional students may present as typical. Still, they face many unique challenges that include academic achievement, social awkwardness, executive functioning deficits, social communication challenges, and teachers who are not aware and trained to meet the atypical needs of these students. Researchers and practitioners are becoming increasingly aware of the underrepresentation that plagues gifted and talented programs, especially concerning twice exceptional students, and students …

Multidomain Modeling And Ramp-Aware Forecasting Of Floating Photovoltaic Systems For Water-Energy Nexus Applications, Md Atiqur Rahaman

Doctoral Dissertations

Floating photovoltaic (FPV) systems have become a transformative renewable energy technology because of their cooling effects on PV performance and ability to prevent water evaporation in land-constrained areas. Although FPV systems have the potential to become a commercially viable technology, their large-scale deployment remains constrained by uncertainties in thermal behavior, sustainability, and grid-operational variability. This dissertation identifies and characterizes these three key issues and presents an integrated, measurement-based evaluation of a 130 kW FPV installation located at the Passaúna reservoir in Brazil. In the first contribution, four temperature models, including physical and empirical models, were developed and comparatively evaluated to …

Learning And Predicting The Performance Of Gradual Type System, Mohammad Wahiduzzaman Khan

Doctoral Dissertations

Gradual typing reconciles the complementary strengths of static and dynamic typing by allowing programmers to incrementally introduce type annotations while preserving the flexibility of dynamically typed code. This approach improves reliability, documentation, and tooling support without sacrificing rapid prototyping. To ensure soundness, gradual type systems enforce annotations through runtime checks, typically implemented via cast insertion. Although these checks guarantee correctness, they can introduce substantial and highly variable runtime overhead, making performance prediction and optimization a central challenge for practical adoption. Prior work has largely focused on coarse-grained (macro-level) configurations, where entire modules are either fully typed or untyped. While such …

Learning From Extremes: A Copula-Based Feature Selection Framework For Machine Learning-Driven Risk Prediction, Agnideep Aich

Doctoral Dissertations

Reliable feature selection is crucial for building interpretable and practical risk models, particularly when decisions depend on identifying the highest-risk groups rather than relying on average trends. This dissertation presents and tests a supervised filter that ranks predictors by their upper-tail concordance with the outcome, using a Gumbel-implied upper-tail concordance score $\lambda_U$. The score is calculated from pseudo-observations and Kendall’s $\tau$ (via the Gumbel $\tau\mapsto\lambda_U$ mapping), does not require model fitting during selection, and focuses directly on joint extreme events, such as when both a predictor and the positive class are high. The method is compared to Mutual Information, mRMR, …

Investigating The Distribution And Origin Of Pitted Mounds On Mars Using Machine Learning-Based Mapping And Integrated Geological Analysis: Application To Isidis Planitia, Precious Batubo

Doctoral Dissertations

Pitted mounds are widespread landforms across the northern plains of Mars, yet their origin remains uncertain. These features have been interpreted as possible expressions of subsurface fluid activity, including sedimentary volcanism, magmatic processes, or other fluid-assisted mechanisms. Determining their distribution, morphology, and geology is therefore important for understanding the evolution of subsurface hydrological processes and the planet’s potential for habitability. However, the large spatial extent of mound-bearing terrains makes comprehensive manual mapping impractical. This dissertation presents an automated approach to mound detection using Faster Region-Based Convolutional Neural Network (Faster R-CNN) from high-resolution Context Camera (CTX) images including morphometric and mineralogical …

Development Of Artificial Intelligence Based Geophysical Technique For Unconventional Resource Exploration, S M Shamsul Hoque

Doctoral Dissertations

Unconventional shale resources have become an important source of oil and gas in the United States, but their characterization remains challenging because of strong heterogeneity and complex elastic and geomechanical behavior. Important properties, such as total organic carbon (TOC) and brittleness, play a key role in evaluating source quality, reservoir behavior, development potential, and subsurface storage suitability. This dissertation develops artificial intelligence-based geophysical techniques to improve unconventional resource exploration and characterization by integrating seismic attributes, well-log data, deep learning, multicomponent seismic registration, and joint PP-PS inversion. A TOC estimation technique is developed and applied to both the Tuscaloosa Marine Shale …

Feeding Mechanics And Digestive Physiology Of Map Turtles, Michael Christopher Fulbright

Doctoral Dissertations

The objective of this research was to relate the form of the map turtle feeding apparatus to its function and digestive physiology. Female map turtles (Genus Graptemys) exhibit pronounced differences in their head shapes and prey bases in the wild. I measured voluntary bite force in megacephalic Pearl River map turtles (G. pearlensis) and microcephalic Sabine map turtles (G. sabinensis) along with a suite of morphological characteristics. I found that many morphological characteristics are good predictors of bite performance in both megacephalic and microcephalic map turtles, and that the commonly used metric of head width noted in other studies of …

Perception And Practice: A Multiple Case Study Exploration Of Teacher Beliefs Of Intelligence And Praise Practice Implementation In The Primary School Classroom, Johanna Rose Hall

Doctoral Dissertations

Possession of a fixed or growth mindset of intelligence has been shown to substantially influence student academic behaviors and achievement. Students who view intelligence as fixed are more likely to avoid academic challenges and learning opportunities, whereas students who view their intelligence as malleable are more likely to embrace challenges and persist through difficulty. Given the importance of fostering a growth mindset of intelligence in students, this study examines how primary school teachers’ beliefs about the malleability of intelligence influence the type of praise they use in the classroom. Specifically, this study explores how teachers’ internal and underlying beliefs shape …

Exploring The Use Of Nondigital And Digital Games In The Classroom Of Teaching Chinese As A Foreign Language For Adult Learners, Zheng George

Doctoral Dissertations

Game-based learning (GBL) has gained increasing attention as an instructional strategy in foreign language education due to its potential to enhance motivation, engagement, and language acquisition. However, most existing research has focused on young learners or on languages other than Chinese, leaving a gap in understanding of how games are used to teach Chinese as a Foreign Language (CFL) to adult learners. In addition, prior studies have primarily examined learners’ perspectives, with limited attention to teachers’ instructional practices when implementing game-based instruction. The purpose of this mixed-methods study was to explore how CFL teachers integrate nondigital and digital games in …

Beyond A Corrective Experience: Reimagining Liberation In Special Education, Erin Elise Macnabb

Doctoral Dissertations

This qualitative study establishes a critical bridge between special education and liberatory pedagogy, positioning these historically siloed fields as interdependent for systemic justice. While Special Education Teachers (SETs) daily work involves resisting systemic oppression, special education has been historically excluded from liberatory pedagogy and instead focused on medicalized models and deficit based assumptions. The separation of liberatory pedagogy and special education contributes to professional siloing and a culture of compliance that prioritizes bureaucratic processes over the meaningful and radical work of SETs.

The research utilizes a qualitative design rooted in Collaborative Critical Inquiry (CCI) where an intentional sample of veteran, …

The Effectiveness Of Mastery Learning On Student Achievement Across Stem Disciplines: A Meta-Analysis, Francis Siangco Estabillo

Doctoral Dissertations

Mastery learning has been one of the most extensively researched instructional strategies in education, studied continuously since the 1960s. Prior meta-analyses have consistently found positive effects of mastery learning on student learning outcomes, however, none have examined its effectiveness on student achievement explicitly within science, technology, engineering, and mathematics (STEM) disciplines.

This comprehensive meta-analysis investigated the effectiveness of the mastery-learning instructional strategy on student achievement across STEM disciplines in K-12 and higher-education contexts. A systematic literature search yielded 85 studies with combined sample sizes of 10,244 participants that met the inclusion criteria. Heterogeneity was assessed using Q,I^{2 …}

Computationally Probing Quantum Subgroups Via Graph Planar Algebra Embeddings, Caleb Kennedy Hill

Doctoral Dissertations

Tensor categories are algebraic objects used by physicists to describe symmetry, by computer scientists to describe programs, and by logicians to describe theorem and proof. Mathematicians invented them to capture the similarities of the representation theories of common algebraic objects including groups, algebras, and Lie algebras. In this dissertation we give presentations in terms of graphical generators and relations for two tensor categories arising from the two quantum subgroups of quantum G2.

We accomplish this by embedding a tensor-generating object's planar algebra into the graph planar algebra on that object's module fusion graph. Such an embedding allows one to explore …

Permeability And Mechanical Response Of Propped Fractured Rocks Under Varied Fluid Viscosities, Hebatalla A. Ghoneim

Doctoral Dissertations

Hydraulic fracturing relies on proppants to preserve fracture conductivity under reservoir stresses. The long-term performance of propped fractures is influenced by grain crushing, redistribution of fines, pack rearrangement, proppant–rock embedment, and shear deformation. These mechanisms are not fully understood under combined compression and shear stress paths, particularly when viscous carrier fluids interact with fractured rock and proppant packs. This dissertation provides experimental data and device development to characterize proppant and rock behavior relevant to these coupled mechanical and hydraulic processes.Proppant grain-scale strength and pack-scale mechanical response were first examined through uniaxial grain tests, crushing tests, and drained and undrained triaxial …

Leveraging Dna Intercalation For The Development Of Tunable, Versatile Supramolecular Hydrogels, Shaina Marlene Hughes

Doctoral Dissertations

Supramolecular hydrogels have emerged as a versatile class of biomaterials capable of mimicking the dynamic behavior of natural tissues due to their inherent hydrophilicity, stimuli-responsiveness, and viscoelastic behavior. However, achieving both biocompatibility and mechanical tunability remains a challenge. This work utilizes DNA intercalation to create a programmable, sustainable hydrogel platform. By utilizing the reversible insertion of planar aromatic molecules between DNA base pairs, we demonstrate that the network’s dissociation kinetics and thermodynamic response are directly governed by the intercalator structure, offering a highly tunable strategy for stimuli-responsive biomaterials.To demonstrate the versatility of double stranded DNA (dsDNA) intercalating supramolecular hydrogels (DISHs), …

Certain Hidden Stabilities Of Continued Fraction Arithmetic, With Applications To Classical Constants And Functions Of Analysis, Qian Hu

Doctoral Dissertations

We establish a hidden stability in the continued fraction expansions of certain real sequences. Classical theory predicts only statistical regularities for the partial quotients of actually random sequences, and repeated applications of the Gauss map would seem to have a randomizing effect even on analytically defined sequences; nevertheless we show how partial quotients connected to sequences governed by asymptotic expansions with rational coefficients always display a certain kind of periodic regularity and, upon taking closures, also an unexpected topological character. Our story connects three types of related data: sequences of real numbers, sequences of continued fraction expansions, and formal Laurent …

Who Works From Home, What Is It Worth, And Where Do They Live? Occupational Classification, Work Arrangement Preferences, And Residential Location Choice, Logan Robert Malone

Doctoral Dissertations

This dissertation examines work-from-home (WFH) arrangements through three complementary lenses: occupational feasibility, worker preferences, and residential location choice. The first chapter develops a continuous tools-based measure of WFH potential using the Department of Labor's O*NET Tools and Technology Supplement, which documents the tools used in each occupation. By categorizing tools according to their consistency with remote work and aggregating to the occupation level, I construct a measure that closely aligns with existing classifications while offering finer-grained distinctions than the binary categorizations common in the literature. The tools-based measure agrees with a widely cited task-based measure for approximately 80% of occupations …

Expanding Traditional Literacy Frameworks: A Multiliteracies Approach In Elementary Classrooms, Caroline Cuenca

Doctoral Dissertations

Teaching literacy in elementary schools can provide students with a rich, meaningful, and engaging learning experience. Furthermore, cultivating a culturally responsive approach to teaching and learning can promote feelings of acceptance and belonging in young children (Comber, 2018). However, elementary educators are feeling increased pressure to emphasize literacy instruction with a sole focus on foundational literacy skills, standardized curriculum, and accountability measures (Unadkat & Ochoa, 2026). Unfortunately, these instructional practices often limit students' opportunities to engage in creative, collaborative, multimodal, and meaningful learning (Unadkat & Cuenca, 2025). This mixed-methods study examined how a critical multiliteracies curriculum was implemented in a …