Digital Commons Network^™

Advancing Prediction And Decision Analytics Techniques To Improve Treatment Of Tuberculosis, Maryam Kheirandish Borujeni

Graduate Theses and Dissertations

Tuberculosis (TB) remains a global health challenge, significantly impacting morbidity and mortality rates worldwide. Despite advancements in diagnosis and treatment, TB continues to pose substantial challenges, particularly in low-resource settings. This dissertation aims to develop a robust treatment monitoring framework for TB patients to ensure personalized and effective treatment using demographic and clinical information. The current standard TB treatment framework, recommended by the World Health Organization (WHO), involves monitoring patients through laboratory tests such as smear and culture sputum tests at specific time points during treatment. These tests, however, are not fast and accurate enough to determine the severity of …

A Brief Values-Based Intervention For Increasing Distress Tolerance In Overcontrol, Katherine Hyde Brott

Graduate Theses and Dissertations

Overcontrol is a transdiagnostic personality syndrome underlying difficult-to-treat psychopathology. Current treatments options are limited, and those that do exist are both cost- and time-prohibitive. Brief interventions are one pathway to improving the care of people with overcontrol. This study had two major aims: (1) evaluate a brief values-based intervention to increase distress tolerance in people with overcontrol and (2) examine the correlates of overcontrol using a novel, theoretically derived transdiagnostic measure of overcontrol. Participants (n = 177) were randomly assigned to one of three conditions: values clarification only, linking values to emotion, or a control condition. They then completed a …

How Supply Chains Respond To Disruptions: Three Essays On Responses To Operational, Geopolitical, And Natural Disaster Disruptions, Travis Kulpa

Graduate Theses and Dissertations

The ability to respond to supply chain disruptions efficiently and effectively is a highly sought after capability, particularly in light of recent events such as the COVID-19 pandemic, geopolitical conflicts, and major natural disasters. These events have led researchers, practitioners, and policymakers to ask: how can we better use our resources to respond to supply chain disruptions? This dissertation examines responses to the three main types of supply chain disruptions: operational disruptions, geopolitical disruptions, and natural disasters. The first study examines how US importers adjust between air and containerized transportation in response to shipment delays and abnormally high demand from …

Proton-Coupled Electron Transfer To Drive Biomass Conversion, Cody Canote

Graduate Theses and Dissertations

Meeting rising demands for commodity chemicals while simultaneously easing reliance on fossil fuels presents one of the most substantial challenges for chemistry to date. Biomass has emerged as a sustainable precursor to commodity chemicals but requires substantial deoxygenation to displace petrochemicals. Development of efficient catalysts to achieve these transformations remains one of the central goals of inorganic and organometallic chemistry. Electrochemical strategies to propel biomass conversion are attractive, providing the driving force for reactivity and insights into catalyst mechanism. This work focuses on proton-coupled electron transfer (PCET) to facilitate redox catalysis in biomass up conversion and homolytic bond cleavage in …

Modeling, Optimization, And Characterization For Choke Horn Antennas, Ibrahim Nasser I Alquaydheb

Graduate Theses and Dissertations

This dissertation presents a comprehensive study focusing on the modeling, optimization, and characterization of choke horn antennas (CHAs). An analytical model designed to capture the parameters of CHA and derive the total radiated fields from the choke and waveguide elements is primarily focused on in this work. Compared to the use of simulation software, such as ANSYS HFSS (High Frequency Structure Simulator) or CST Studio, which employs numerical methods to simulate and calculate antenna performance, numerous advantages are offered by the analytical model. Analytical models provide deeper insight into electromagnetic interactions and the principles governing antenna behavior, leading to a …

Rock Wall Fracturing As A Potential Control On River Valley Width In The Buffalo National River, Arkansas, Kindle Hon

Graduate Theses and Dissertations

Quantifying bedrock properties that control the persistence of fallen rock material (talus) along bedrock walls bounding river valleys may be a key factor in understanding what controls the rate at which these river valleys widen. My work is a component of a collaborative research project focused on the overarching hypothesis that the persistence vs. erodibility of talus that buffers river valley walls can be a first-order control on valley widening rates. I hypothesize that the primary control for creating erodible or persistent talus is the fracture spacing of bedrock valley walls as it sets the maximum block size of collapsed …

Effects Of Measurement Error In Student Pre-Post Test Score On The Recovery Of The Estimates Of Teachers Value-Added Scores, Merlin J. Kamgue

Graduate Theses and Dissertations

Abstract Background: Value-added models (VAMs) are statistical tools used to gauge a teacher’s impact on student performance by analyzing standardized test scores. These models project students’ future performance based on past scores and compare the projection to actual outcomes, accounting for differences in student backgrounds. However, the standard error of measurement (SEM) inherent in all measurement tools is often overlooked in VAMs. Aims and Objectives: This study aims to investigate the impact of test reliability on teacher and school score estimates within a Bayesian framework. We will precisely manipulate the reliability of standardized tests by adjusting the standard error of …

Tissue Engineered Models Of Environmental And Metabolism-Driven Cancer-Nerve Crosstalk, Emory Gregory

Graduate Theses and Dissertations

Purpose: Within the last 30 years, cancer-nerve interactions have garnered attention for causing patient pain, increasing the risk of recurrence, and decreasing patient prognosis. There are 2 key forms cancer-nerve crosstalk takes: perineural invasion (PNI), in which cancer cells infiltrate nerves as a route for metastasis, and tumor innervation (TI), in which neurites penetrate solid tumors to promote tumor progression. Present in vitro models of cancer-nerve crosstalk primarily include Matrigel® mouse matrix and collagen I hydrogels; whereas collagen I hydrogels neglect tumor extracellular matrix (ECM) complexity, Matrigel® is controversial for its batch-to-batch inconsistencies and inclusion of experiment-altering growth factors. Decellularized …

Approaches To Controlling Palmer Amaranth And Its Interference In Furrow-Irrigated Rice, Tanner Austin King

Graduate Theses and Dissertations

Palmer amaranth (Amaranthus palmeri S. Wats) is the most troublesome and problematic weed in most mid-southern U.S. row crop production systems. With the increased adoption of furrow-irrigated rice (Oryza sativa L.), there is a greater occurrence of Palmer amaranth due to sustained moist conditions allowing continual emergence of the weed throughout the growing season. Palmer amaranth has previously been shown to negatively affect crop yields when left unmanaged. Therefore, there is a high potential for rice yield loss due to the weed’s ability to emerge over an extended period and interfere with crop development. However, there is a lack of …

Remodel-Fpga: Reconfigurable Memory-Centric Array Processor Architecture For Deep-Learning Acceleration On Fpga, Md Arafat Kabir

Graduate Theses and Dissertations

Deep-Learning has become a dominant computing paradigm across a broad range of application domains. Different architectures of Deep-Networks like CNN, MLP, and RNN have emerged as the prominent machine-learning approaches for today’s application domains. These architectures are heavily data-dependent, requiring frequent access to memory. As a result, these applications suffer the most from the memory bottleneck of the von Neumann architectures. There is an imminent need for memory-centric architectures for deep-learning and big-data analytic applications that are memory intensive. Modern Field Programmable Gate Arrays (FPGAs) are ideal programmable substrates for creating customized Processor in/near Memory (PIM) accelerators. Modern FPGAs contain …

Environments And Controls Of Erosional Bedforms In Soluble Channels, Ethan W. Oleson

Graduate Theses and Dissertations

Erosional bedforms, such as scallops, preserve valuable information on the paleohydrologic conditions forming soluble channels in karst systems. While these bedforms are commonly used to interpret past conditions, questions about their formation remain. Mathematical models of speleogenesis in turbulent flow predict that the conditions for forming scallops do not occur in natural carbonate systems. However, scallops are readily found in caves throughout the world. This conundrum has several possible resolutions, but each lacks field-based observations. We present a field-based study of the environments and controls of scallops in gypsum, limestone, and dolostone caves. Our results are based on field observation, …

Understanding The Emergence Of Self-Determination In Children With Disabilities Through Family Experiences In Early Childhood: A Qualitative Study, Karen K. Lange

Graduate Theses and Dissertations

Abstract A person’s ability to be self-determined begins to develop through the earliest interactions in life within the context of the family and caregiving environments. This qualitative phenomenological study of the experiences of eight parents representing seven families of young children explored how families promote their children’s early development of the skills, abilities, and attitudes of self-determination. The critical importance of the family context for the promotion of self-determination in young children is seen in the four themes that emerged from the experiences shared by these families. (1) The family context is transformed by a child with a disability, changing …

Investigation Of Optically Pumped Gesn Quantum Well Lasers, Grey Steven Abernathy

Graduate Theses and Dissertations

Silicon photonic integrated circuits enable the capability of producing on-chip processing of photonic signals, including both emission and detection. Emission materials, however, have been limited for monolithic integration due to high processing temperatures, indirect bandgap materials, and material integration complications. The (Si)GeSn material system has recently attracted attention due to the bandgap transition from the Si and Ge, naturally indirect bandgap, to direct bandgap with sufficient Sn incorporation. Additionally, the low growth temperature (CMOS compatible; <400 >°C) of (Si)GeSn materials can enable the monolithic integration of the highly desired mid-infrared light emission on the Si Photonic platform. This dissertation first discusses …

Smartphone Gaming And International Students: Exploring The Experiences Of Hypercasual Gameplay For Practicing English Vocabulary And Learning About The United States Culture In Mediated Action, Se He Hwang

Graduate Theses and Dissertations

The use of smartphones in everyday settings is widespread, and people around the world use smartphones not only for making phone calls and sending text messages but also as a tool for searching for information and playing smartphone games during their free time. Since people around the world have easy access to smartphones regardless of their physical locations, smartphones can function as a tool for learning purposes, and playing games for learning purposes also supports the students to learn information in less stressful settings since playing games is predominantly for entertainment. The purpose of this qualitative phenomenological study in mediated …

Computational Alchemy: Pioneering Spintronic, Thermoelectric, And Optoelectronic Materials Design Through First-Principles Calculations And Machine Learning, Eesha Sanjay Andharia

Graduate Theses and Dissertations

Intelligent materials discovery and design plays a pivotal role in advancement of spintronics, optoelectronics and thermoelectric devices and technology. In this study, we investigate three types of materials using first principles calculations. First, the structural, electronic, and magnetic properties of CrTiCoZ (Z = Al, Si) equiatomic quaternary Heusler alloys were investigated. CrTiCoAl compound was found to exhibit a half metallic ferromagnetic structure and Curie temperature above room temperature, which makes it an ideal candidate for magnetic tunnel junction, the basic building block of Spintronic devices. Second, we use Green’s function to obtain the finite temperature phonons by including quartic anharmonicity …

Quantifying Physical Function: Moving Towards A New Definition And Better Assessment, Anthony Campitelli

Graduate Theses and Dissertations

Though poor physical function (PF) and disability are two of the most impactful problems facing older adults today, the field of kinesiology has not yet devised a method of measuring PF, thus limiting investigations with the potential to lead to improved PF interventions and assessments. This dissertation aimed to develop a single, continuous measure of PF using a latent variable modeling approach, and then use the generated scores to evaluate the role of lower body muscular power in PF assessment and to construct an improved PF assessment battery for predicting overall PF. Each aim of this dissertation was addressed through …

Understanding And Control Of Frustration And Topological Defects In Ferroic Matter, Suyash Rijal

Graduate Theses and Dissertations

Ferroic matter are of great importance as they provide a platform to extend the understanding of many-body physics and also for their amazing functional properties relevant for technological advancements. The work in this dissertation is dedicated to two of such ferroic materials.

First is CrGeTe₃ (CGT), a two dimensional (2D) magnet discovered in 2017. The discovery of two-dimensional magnetism has invigorated the research community as their low dimensionality offers a unique avenue to understand and investigate the origin of magnetism in these atomically thin systems and harvest diverse application such as information processing, storage and transfer using their magnetic …

The Growth And Governance Of American Classical And Christian Schools, Cassidy Syftestad Klutts

Graduate Theses and Dissertations

Classical and Christian education has proliferated across education sectors over the last decade. As a result, school leaders must implement these timeless philosophies of education and navigate such high demand. This dissertation seeks to equip relevant parties with research about what drives their skyrocketing enrollment and how to support school leaders and their governing boards. My first chapter uses in-person focus groups to understand the school choices of 25 parents whose children are enrolled in Texas-based classical charter schools. I explore the ways in which parents found their children’s school; what made them enroll their children; and whether they are …

How Local Interactions Give Rise To Large-Scale Conformational Changes In Proteins: A Molecular Dynamics Study, Shadi A. Badiee

Graduate Theses and Dissertations

Proteins are dynamic entities that undergo conformational changes essential for their biological functions. These structural changes often correspond with chemical events such as lipid interactions or environmental changes like protonation or acidification. Understanding the complex relationship between these chemical perturbations and the resultant mechanical responses is crucial for elucidating protein mechanisms. This dissertation investigates the chemo-mechanical coupling in the conformational dynamics of the bacterial ABC transporter Sav1866 and the impact of protonation on the Influenza virus hemagglutinin HA0. Using molecular dynamics simulations, we explore the conformational landscapes of Sav1866 and HA0. Our study examines how varying lipid compositions affect the …

Analyzing The Accuracy And Trading Strategy Potential Of Private Analyst Projections Of Usda Wasde Reports, Emmie Noyes

Graduate Theses and Dissertations

This thesis investigates the economic impact of private analyst forecasts on trading strategies in agricultural commodities markets. The primary objective is to assess whether private forecasts of world ending stocks contained in the USDA’s WASDE report provide valuable information for forming profitable trading strategies. The study utilizes panel regression models to analyze the relationship between private forecast accuracy and strategic returns derived from trading strategies based on these forecasts. The research employs unbalanced panel data spanning from January 2011 to April 2021, integrating monthly and yearly indicators to capture temporal patterns. The dataset includes observations from multiple firms, allowing for …

To Each Their Own: The Relationship Among Regret, Habits, And Academic Performance In College Students, Chandler Ann Findley

Graduate Theses and Dissertations

The extant literature on regret as motivation for behavior presents inconclusive results, collectively. While it has often been agreed that regret motivates reparative action, most studies from the past 14 years indicate that regret may motivate either detrimental actions or, more commonly, no action at all. There also appears to be no published research about college students’ academic regrets or how these regrets affect their classroom behaviors and performance. Therefore, this dissertation seeks to understand if college students regret their academic habits, what those habits are, and how their regrets and habits contribute to their academic performance over the course …

A Grain Of Hope: Analysis Of The Economic Potential For An Association Of South East Asian Nations (Asean) Rice Futures Market, Richard Nyarko

Graduate Theses and Dissertations

The ASEAN (Association of Southeast Nations) region is the world's leading rice producer, yet the region lacks a dedicated rice futures market. In contrast other world grain markets are served by liquid futures contracts, which aid producers through price discovery and risk management. This glaring gap raises a critical question: Can an ASEAN rice futures market be established to unlock the potential economic benefits for the region's rice sector? By predicting ASEAN rice pricing features and analyzing the efficacy of hedging for regional rice market players, this study explores the viability of an ASEAN rice futures contract to service the …

Sparse Neural Network To Enhance Performance Under Limited Parameter Constraints., Nailah Rawnaq

Graduate Theses and Dissertations

Over the past decade, the widespread adoption of deep neural networks has been a breakthrough driven by significant computational advancements. Additionally, the number of parameters of those models is exponentially increasing for performing complex tasks and achieving better performance. However, in most practical cases, often there are constraints in the number of parameters due to limited resources in storage size and computational cost. Network pruning can lead to an optimal solution to this problem. In this thesis, I present supporting evidence to the hypothesis that higher sparsity leads to better performance for a convolution-based neural network. I perform performance studies …

The Effects Of Grading Equity Practices On Students: Do Student Perceptions Of And Teachers’ Exposure To Grading Equity Practices Matter?, Sarah Ruth Morris

Graduate Theses and Dissertations

This dissertation critically examines grading practices within schools, tracing the evolution from traditional to modern approaches and highlighting the social dimensions and debates surrounding grading. Through a mixed-methods study spanning three empirical chapters, it explores students' and teachers' perceptions of grading practices, the impact of professional development (PD) on teachers' approaches to grading equity, and the resultant effects on student outcomes. Chapter Two reveals students' preferences for practices that recognize effort and support academic growth, alongside a tension between Pre-AP students' resistance and the support from students under high stress. Chapter Three finds that while PD can shift teachers' views …

Gan With Skip Patch Discriminator For Biological Electron Microscopy Image Generation, Nishith Ranjon Roy

Graduate Theses and Dissertations

GAN models have been successfully used for image generation in various sections such as real-life objects like human faces, cars, animal faces, landscapes, etc. This work focuses on biological electron microscopy (EM) image generation. Unlike other real-life objects, biological EM images are obtained through electron microscopy techniques to study biological specimens. Electron microscopy offers high resolution and magnification capabilities, making it a powerful tool for visualizing biological structures at the nanoscale. However, using GAN models for biological EM image generation poses challenges due to the complex and unique arrangements of biological structures and the sparse and asymmetrical patterns in EM …

Mental Health Calls For Service During The Covid-19 Pandemic: Examining The Geographic Distribution And Correlates Of Service Requests In Little Rock, Arkansas, Mckayla Bishop

Graduate Theses and Dissertations

In response to the Covid-19 global crisis, the United States implemented social interaction restrictions to curb the infection rate amongst citizens, affecting residents' mental health by adding strain from daily routine change. This study examines how mental health has changed during the pandemic by focusing on geospatial differences of volume and concentration within 311 calls in Little Rock, Arkansas in 2018 and 2020. Our data comes from the City of Little Rock’s open database to construct geospatial maps (n= 155 block groups), along with Census survey data logistic regression models to show differences in community characteristics. Overall, mental health worsened …

Exploring Telehealth Utilization Through Data Analytics, Statistical Analyses, And Machine Learning Techniques, Aysenur Betul Cengil

Graduate Theses and Dissertations

This dissertation investigates the utilization of telehealth services, initially focusing on the Arkansas healthcare system and then extending the analysis nationwide. It aims to understand the factors influencing telehealth adoption and its impact on healthcare delivery. After examining telehealth utilization in Arkansas from 2018 to 2022, the research utilizes a comprehensive dataset from Epic Cosmos, which includes a wide range of patient and visit data from multiple healthcare facilities across the United States from 2018 to 2023. This timeframe allows for a detailed analysis of telehealth trends before, during, and after the COVID-19 pandemic. In Chapter 2, we analyze key …

Computational Models That Exploit Spatial, Temporal, And Voltage-Current Relationships In The Electrochemical Generation-Collection Of Redox-Active Molecules, Miguel Angel Abrego Tello

Graduate Theses and Dissertations

The numerical studies in this dissertation explore the application of redox cycling, an advanced electrochemical technique, for analyzing bioelectrochemical systems with a particular focus on small-volume samples and involves electrodes that can be activated to oxidize and reduce, separated by varying distances and featuring different geometries. The redox cycling approach facilitates the spatio-temporal interrogation of kinetics, mass transport, and the quantification and identification of chemical systems. We optimize a previously fabricated neural probe design on an SU-8 substrate, featuring coplanar arrays of nine microband electrodes suited for in vivo applications. Through comprehensive in situ and in silico redox cycling studies …

How Others Affect Identity: The Roles Of Mere Presence, Self-Disclosure Extent, And Partner Responsiveness, Josephine Collins

Graduate Theses and Dissertations

Previous research has indicated that identity is social in nature and that close relationships strengthen sense of identity, but details of this relationship are not well understood. Self-disclosure is a vital part of close relationships; thus, the present research sought to understand how talking about oneself is at play in the relation between relationship closeness and identity. In this study, 314 emerging adults (157 dyads; Mage = 19.2) engaged in an in-person interaction with either a close other or a stranger and, within this interaction, were assigned to engage in self-disclosure or a control task. Even though the closer participants …

Will These Feelings Last Forever? Examining The Relationship Between The Longevity Belief About Emotion And Avoidance, Elise Warner

Graduate Theses and Dissertations

Research suggests that the belief that emotions last for long periods of time is associated with greater self-reported distress intolerance and greater experiential avoidance (Warner, 2022), with limited research examining the causal link between the longevity belief and experiential avoidance. Individuals high in emotional reactivity may tend to hold greater longevity beliefs (Veilleux et al., 2019), with high emotional reactivity linked to both greater experiential avoidance and distress intolerance (Bruns et al., 2019). Thus, the aim of the current study was to examine the influence of the longevity belief about emotions on behavioral avoidance in individuals high in emotional reactivity. …