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A Pilot Study Of A Culturally Responsive Cognitive-Behavioral Intervention For Black American High School Students With Social Anxiety, Hannah Thomas

Theses, Dissertations and Culminating Projects

Cognitive-behavioral interventions have been shown to be effective for treating social anxiety, yet few have been evaluated for racially and ethnically minoritized youth, including Black American adolescents. These interventions also do not address sociocultural factors, including racial discrimination and mental health stigma, that may shape the experience of social anxiety among Black American youth and serve as barriers to care. Therefore, the aim of this study was to conduct a pilot evaluation of the feasibility, acceptability, and preliminary outcomes of Interacting and Changing Our Narratives (ICON), a culturally-responsive, school-based cognitive-behavioral group intervention for Black American high school students with social …

Agentcite: Trustworthy Ai Agents For Information Verification Across Referenced Documents, Eymen Yigit

Master's Theses

This thesis presents AgentCite, a multi-agent framework for automated verification of referenced numerical data in research documents. The framework employs a hybrid design in which LLM-based agents handle document understanding and evidence retrieval, while deterministic components manage structured parsing and value comparison, improving consistency and reproducibility while reducing token consumption and execution time compared to fully agentic approaches.

AgentCite consists of three autonomous agents: a Negotiator, a Main Document Agent, and a Source Documents Agent, coordinated through a fixed tool-call pipeline. The Negotiator orchestrates verification by extracting tabular data from the main document, retrieving evidence from per-source vector stores, and …

Probing Representational Emergence In Large Language Models, Shawn Ismail

Master's Theses

This thesis investigates whether abrupt behavioral gains in large language models under scaling are accompanied by systematic changes in internal representations. It combines a behavioral screen of 65 tasks per family with targeted layerwise probing across eight decoder-only, open-weight model families. Behavioral emergence is defined for each family-task trajectory using an empirical jump detector, with segmented regression retained only as a diagnostic. The representational follow-up analyzes 27 selected MMLU subtasks shared across all families, spanning 37 checkpoints and 216 family-task units.

For each follow-up checkpoint, frozen linear probes are trained on every layer's hidden states to measure how much task-relevant …

Ai-Enabled Autonomous Visual Navigation In Complex And Data-Constrained Agricultural Environments By Leveraging Image Augmentation And Translation Methods, Robel Mamo

Master's Theses

The field of agricultural robotics remains one of the most underexplored domains within the broader robotics community. As a result, there is a scarcity of robust, scalable, and adaptable robotic systems capable of operating under the highly variable conditions of real-world farms. Visual navigation is essential for field autonomy, yet state-of-the-art perception models rely heavily on large annotated datasets and consistent environmental conditions. This thesis addresses these limitations by proposing two novel frameworks to enhance model robustness against structural occlusions, environmental variability, and low-visibility conditions under nighttime settings. First, I introduce Crop-Aligned Cutout (CA-Cut), a spatially guided augmentation method that …

Toni Morrison's New World Black Woman: Refuting, Deconstructing, And Redefining Black Women's Identity, Victoria L. Bell

Master's Theses

Abstract

Through critical analysis of media: literary works, performance, and television, this thesis explores the prejudices, silencing, dehumanizing, sexualization, and marginalization of Black women, their bodies, identity, and trauma inflicted by White-authored texts, specifically the American canon. I analyze the works of Black women authors, scholars, and activists, who counter the false representation of the patriarchy. Their literary works refute, deconstruct, and redefine the canon’s distorted, racial and gendered stereotypes, later to be named controlling images.  While narrating the Black woman’s authentic self, experience, body, and womanhood they reclaim space, authenticity, and agency.

In my research and analysis, the central …

Deep Learning For Predicting Impact Energy And Compression After Impact Strength Of Composite Materials Using C-Scan Images, K. T. Tan, Jason P. Mack, Faizan Mirza, Zhong-Hui Duan

University Research

Traditional assessment of post-impact performance in carbon fiber reinforced polymer (CFRP) composites often relies on simplified scalar metrics that fail to capture the complex spatial interactions driving failure. This study addresses this limitation by developing an automated, end-to-end deep learning framework that shifts from manual feature extraction to the direct interpretation of raw damage morphology from ultrasonic C-scans. Using a ResNet18-based convolutional neural network (CNN) trained on 1,428 augmented images, the model achieved coefficients of determination (R2) of 0.7948 ± 0.0847 for compression after impact (CAI) strength and 0.9436 ± 0.0098 for impact energy. Beyond prediction, this dual-purpose methodology serves …

Perceptions Of Effective Co-Teaching Partnerships In High School Inclusive Classrooms, Korri-Lee S. Wood

Electronic Theses and Dissertations

The purpose of this qualitative study was to examine the characteristics and contextual factors that general education and special education teachers perceive as essential for effective co-teaching partnerships in high school inclusive classrooms. The study, which involved in-depth interviews with general and special education teachers in co-teaching partnerships, was conducted within a constructivist paradigm to shed light on interpersonal, communicative, and systemic variables that contribute to a positive, productive co-teaching experience. Purposeful sampling was employed to select general and special education teachers who were part of co-teaching partnerships. Thematic analysis was used to analyze data from semi-structured interviews, and an …

Attendance Matters: Incentive Programs And Chronic Absenteeism In Elementary Schools, Aubryn Street

Electronic Theses and Dissertations

Chronic absenteeism is a common challenge in elementary education. Schools often use attendance incentive programs, such as rewards or recognition, to encourage students to attend regularly. However, it is not always clear whether these programs actually improve attendance. This study examined whether attendance incentive programs are effective and how school staff view and use these programs.

This mixed-methods study used both school attendance data and interviews with school personnel. Attendance data from two school years showed that schools with incentive programs did not have lower absenteeism rates than schools without them. However, attendance improved overall from one year to the …

Bergsonian Blend: Subjective Temporality Within Modernist Aesthetics Of Mental Illness, Lydia Victoria Gervais

Electronic Theses and Dissertations

Henri Bergson was a modernist French philosopher who wrote extensively on the topic of the lived experience of time, which he called durée, or duration. His contemporary, Sigmund Freud, was developing psychoanalytic theory in a growing field of psychological study, which serves as a prominent ancestor to modern psychiatry and current psychoanalytical literary studies. Fiction writers of the 1900s absorbed the zeitgeist of melded chronology and consciousness, interweaving themes of time and trauma in their works. Utilizing Henri Bergson’s durée as a philosophical framework, I examine the moralization of time-consciousness in connection with mental illness and investigate representations of …

Discrete-Event Simulation: A Leslie System Model For Transportation Demography, Md Zobaer Ahammad

Electronic Theses and Dissertations

Transportation systems are influenced by demographic change, household formation,and patterns of vehicle ownership. These factors affect long-run transportation demand and congestion levels within urban infrastructure. Understanding how demographic dynamics interact with transportation behavior is therefore important for analyzing the long-term evolution of transportation systems. This thesis develops a modeling framework that integrates discrete-event simulation with a Leslie-type matrix model to study transportation–demography interactions.Simulation outputs are aggregated to construct a transition matrix describing changes in transportation states. This matrix acts as a linear (or affine) transformation on the transportation state vector, allowing the system to be analyzed as a discrete linear …

Machine-Learning Landslide Susceptibility And Runout Modeling In The Nolichucky River Gorge After Hurricane Helene, Grace Braver

Electronic Theses and Dissertations

Extreme rainfall from Hurricane Helene (September 2024) triggered widespread landslides across the southern Appalachian region, highlighting the need for rapid landslide susceptibility assessments that capture both landslide initiation and downstream runout. Traditional susceptibility models often focus solely on initiation zones, limiting their ability to identify which slopes will generate destructive landslides or where material will travel. This study addresses that gap by (1) integrating Geographic Information System (GIS)-based machine learning susceptibility modeling using ArcGIS Pro: Maximum Entropy (MaxEnt) and Random Forest-Based and Boosted Classification and Regression (FBBC) and (2) the U.S. Geological Survey (USGS) Grfin (Growth, Flow, and Inundation) runout …

Behavioral Bottlenecks In Belizean Smallholder Farming: An Action Plan, Mckinley A. Almeida

Economics Undergraduate Honors Theses

Behavioral Bottlenecks in Belizean Smallholder Farming: An Action Plan investigates why Belizean smallholders hesitate to adopt new practices informed by a two-month internship with the Ministry of Agriculture at the Stann Creek branch. During the internship, a seventeen-page bilingual farm plan outline integrating SMART goals, a standard business plan, and farming essentials relevant to the local culture and environment was designed and developed. The Farm Plan Outline is grounded in observations in goal-setting theory, risk aversion under price uncertainty, and knowledge gap literature (AKIS/AKAP) tailored by smallholder Belizean contexts. Farmers were assisted with the Sustainable & Inclusive Belize Program grant …

Do I Have To Know Someone? The Impact Of Factors Beyond The Playing Field That Affect Mlb Hall Of Fame Voting., Jackson Wollscheid

Economics Undergraduate Honors Theses

With the creation of WAR (Wins above Replacement), it has created an index to measure the player’s value using a variety of statistics relevant to that player’s position. The higher a player’s career WAR then the greater the impact that player had on the game during his career. However, players are not simply inducted into the Hall of Fame on this measure of value but on voting from members of the BBWAA (Baseball Writers’ Association of America). This research investigates external factors outside of standard playing statistics’ influence on Hall of Fame voting, including team affiliation, career length, and other …

Gun Violence Prevention In The Christian Church: A Deductive Content Analysis Of Faith-Based Firearm Education Resources, Sarah Winn

Graduate Theses and Dissertations

This thesis analyzed whether Christian faith-based curricula and toolkits regarding firearm safety and violence prevention align with established best practices in public health, social work, and education research. Previous research has explored the prevalence and impact of gun violence, best practices regarding gun violence and safety interventions, the effectiveness of churches as public health initiative partners, and the relationship between Christianity and views on firearms. In this study, qualitative deductive content analysis indicated that faith-based gun violence prevention toolkits are strongly oriented toward advocacy, community mobilization, and public health framing. At the same time, gaps remain in their integration of …

Nanoscale Electrochemical Measurements: Theory, Instrumentation, And Operation, Kamsy Lerae Anderson

Graduate Theses and Dissertations

Electrochemical processes underpin many modern technologies (e.g., batteries, fuel cells, and corrosion protection systems), and because these processes are often controlled by interactions that occur at the nanoscale, gaining insight into nanoscale electrochemical behavior is essential to advancing these technologies. Nanoscale electrochemical imaging probes measure electrochemical activity with nanoscale spatial resolution and have enabled researchers to gain new insights into diverse experimental systems. However, limitations remain, including a lack of methods for direct quantitative interpretation, the influence of atmospheric conditions on experimental reproducibility and stability, and a knowledge barrier resulting from limited accessible resources, all of which continue to restrict …

Will The Demons Follow (And Other Stories), Eberechi Onyekachi Mcbride

Graduate Theses and Dissertations

Will The Demons Follow (and Other Stories) is a collection of interconnected short stories that examines memory, trauma, migration, and womanhood across Nigerian and diasporic spaces. Set in both Nigeria and the United States, the stories move between villages, cities, and immigrant communities, presenting characters whose lives are shaped by cultural expectations, spiritual beliefs, family authority, and personal longing. Through multiple narrative voices, the collection considers how the past continues to shape the present. Characters struggle with family conflict, religious pressure, sexual violence, and the psychological burdens carried across borders. In the title story, “Will The Demons Follow?”, the narrator …

Design And Evaluation Of A Single-Gate Multi-Threshold Null Convention Logic Architecture For Area Efficiency, John Edward Swaim

Graduate Theses and Dissertations

Asynchronous circuit design paradigms, such as NULL convention logic (NCL) and Multi-Threshold NCL (MTNCL), offer increased energy efficiency over synchronous equivalents and robust pipelines with minimal timing analysis. However, their dependency on dual-rail signal encoding causes significant overhead compared to single-rail equivalents. Previous single-gate and single-rail NCL paradigms have sought to reduce circuit area, but most compromise their quasi-delay-insensitivity and correct-by-construction nature with logic gate and system-level design choices. This thesis presents Single-Gate MTNCL (SG-MTNCL), a register controlled, single-gate, and dual-rail asynchronous architecture to improve the area efficiency of MTNCL without compromising the reliability of previous paradigms. The benefits of …

Across The Pond And Veil: Spiritualists, Female Mediums, And Ghosts In The Nineteenth-Century United States And Britain, Allison Tucker

Graduate Theses and Dissertations

This thesis examines how women mediums in the late nineteenth-century United States and Britain shaped Spiritualism and interpreted their respective social landscapes. Spiritualist mediums claimed the ability to communicate with spirits in the spirit world. These conversations with ghosts allowed mediums to speak on recent events, traverse social boundaries, and assume positions of authority. Drawing on trance writings, spirit-authored books, newspaper articles, and the performances of women mediums, this study compares the development and practices of Spiritualism in both countries. This thesis argues that proximity to violence significantly shaped Spiritualism during its formative years. The Civil War placed Americans in …

Of Dunes And Ice: A Surface-Atmosphere Investigation Of Mars Co2 Sublimation Features And Titan Aeolian Fields, Racine D. Cleveland

Graduate Theses and Dissertations

This dissertation investigates a central question: How do planetary boundary layer processes manifest in observable surface geomorphology, and how can planetary imagery be used to quantify those effects? The planetary boundary layer (PBL) governs near-surface exchanges of momentum, heat, and volatiles, yet direct atmospheric measurements remain spatially and temporally limited on most planetary bodies. By analyzing geomorphic features preserved in high-resolution imagery, this work quantifies how boundary-layer processes leave measurable signatures on planetary surfaces. For Mars, high-resolution images from the Mars Reconnaissance Orbiter (MRO) HiRISE instrument were used to map CO2 sublimation features, or Swiss Cheese Features (SCFs), on the …

‘Enemy Communist Cocksuckers’: Conceptualizing Patriotic Masculinity In Threats To Election Officials, Alma Harrison

Graduate Theses and Dissertations

Research on political violence demonstrates how certain aspects of masculinity are linked to asserting ideological authority and reinforcing exclusionary social identities through physical aggression, such as assaults, homicides, and gender-based violence. However, little research analyzes the use of violent threats as masculinity performances to achieve these same ends. To address this gap, this study analyzes messages from qualitative interviews with 26 election officials who experienced violent threats, examining performances of a distinct form of masculinity – patriotic masculinity – which fuses hegemonic masculine norms with patriotic values. Findings reveal ways in which actors construct and perform patriotic masculinity to frame …

Faster Than The Speed Of Bram: In-Memory Computing For Next Generation Fpgas On The Edge, Nathaniel Joseph Fredricks

Graduate Theses and Dissertations

Traditional computer systems are hitting the Memory Wall as machine learning applications are bottlenecked by the bandwidth between separate memory and compute units. Current FPGA architectures are able to bypass this bottleneck with block RAMs (BRAMs) that provide on-chip, in-fabric storage. However, their potential as the foundation of computing components is often overlooked; machine learning accelerators implemented on FPGAs face additional delays when transferring data between memory and compute units. These penalties arise from BRAM bandwidth limitations and movement of data through the reconfigurable fabric. To support FPGA-based accelerators on the edge and break the Memory Wall, reconfigurable architectures must …

Caregiver Self-Reflection: Does It Matter? A Study Of The Relationship Between Caregiver Self-Reflection And Participation In Home Programs In Outpatient Pediatric Physical Therapy Settings, Andrea Myane

Graduate Theses and Dissertations

Despite evidence that caregiver coaching can improve patient outcomes and caregiver participation, little information exists on the effects of its individual components. Additionally, previous research has highlighted the importance of home programs in improving pediatric physical therapy outcomes. The aim of this study is to explore the role that caregiver self-reflection, a component of caregiver coaching, plays in facilitating outcomes in the pediatric physical therapy outpatient setting. Caregivers will be asked to complete a series of self-reflection questions based on Gibbs’ Reflective Cycle, while also recording the number of minutes they spend facilitating a prescribed home program. All study participants …

Conservation Agriculture Effects On Greenhouse Gas Emissions From Cotton, Soybean, And Corn In Southeast Arkansas, Jonathan Benjamin Brye

Graduate Theses and Dissertations

The slow degradation of natural resources has resulted in the focus of agriculture shifting towards conservation practices, such as reduced/no-tillage, cover crops (CC), and organic amendments (i.e., biochar), that conserve and improve natural resource quality. The objectives of this thesis were to i) quantify the impacts of biochar rate (i.e., 0, 2000, and 4000 kg ha-1) and ii) the combination of CC and tillage practice on carbon dioxide (CO¬2), methane (CH4), and nitrous oxide (N2O) fluxes, growing-season-long emissions, global warming potential (GWP), soil properties, and plant response from a minimally tilled cotton (Gossypium hirsutum)-corn (Zea mays) rotation and a soybean …

Quantifying The Short-Term Hydrogeologic Responses Of Highway Construction In Hot Springs, Arkansas, Billy Jack Summerford

Graduate Theses and Dissertations

In late 2020, excavation for the Highway 5 Bypass in Hot Springs, Arkansas exposed seepage faces along roadcut walls. Groundwater levels at nearby wells decreased by up to 20.9 ft and have remained ~20 ft below pre-construction values on average. This study quantifies changes in storage in the unconfined aquifer within the Hot Springs thermal recharge zone associated with the seepage faces using a numerical groundwater model calibrated to pre-construction head at well ARb4. Model scenarios are used to evaluate whether construction-induced seepage or drought best explains the decrease from late 2020 to early 2021. The numerical groundwater simulation represented …

Impacts Of Climate-Smart Agriculture On Greenhouse Gas Emissions In Southeast Arkansas Cotton, Cassandra Seuferling

Graduate Theses and Dissertations

Increasing concerns of climate change have led to the evaluation of greenhouse gas (GHG) emissions [i.e., carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O)] from agroecosystems, particularly cotton (Gossypium hirsutum) production. Technology improvement and conservation agriculture methods [i.e., reduced-tillage (RT) instead of conventional tillage (CT) and the use of cover crops (CC)] require further evaluation regarding GHG emissions from Arkansas cotton production. The first objective of the study was to evaluate four gas-flux-determination methods [i.e., linear or exponential regression models, with negative fluxes (WNF) included in the dataset or replacing negative fluxes (RNF)] on CO2, CH4, and N2O fluxes …

Searching Harder For The Darter: Evaluating Endangered Yellowcheek Darter (Nothonotus Moorei) Status And Drought Responses, Kearstin Findley

Graduate Theses and Dissertations

Freshwater ecosystems are one of the most imperiled habitats across the world with biodiversity declining rapidly. There are many stressors contributing to freshwater species declines including habitat loss and degradation, land-use changes, anthropogenic water demands, changes in precipitation and weather extremes, and pollution. Current environmental projections predict that these stressors will continue to impact freshwater ecosystems to greater extents moving forward. Stream drying from drought conditions increasing in intensity and frequency is especially concerning in northern Arkansas where seasonal drought is typical in the summer and fall months. With increased drying conditions, the elimination of shallow-water riffle habitats in streams …

Exploring A 'Fishy' Solution: Uncovering Human Norovirus Using A Zebrafish Model, Sahaana Chandran

Graduate Theses and Dissertations

Human norovirus (HuNoV) is the leading cause of acute gastroenteritis worldwide; however, the lack of robust laboratory culture systems and reliable animal models has limited progress in understanding viral replication and developing effective intervention strategies. While alternative models such as the zebrafish system have been explored, gaps remain in evaluating their ability to support replication across diverse HuNoV strains and in identifying factors that influence infectivity. This dissertation provides a comprehensive investigation into the use of the zebrafish model for studying viral replication, host interactions, and potential inhibition strategies. Initial studies focused on optimizing viral delivery methods using Tulane virus …

Design And Optimization To Advance Silicon Carbide Modules For Medium Voltage High Power Applications, Ahmed Ismail

Graduate Theses and Dissertations

The commercial availability of the first 10 kV silicon carbide (SiC) MOSFET removes the principal semiconductor barrier to medium-voltage power conversion, enabling converter topologies that are structurally inaccessible to silicon IGBT solutions at this voltage class. This dissertation presents the characterization infrastructure, device-level data, and preliminary system-level validation needed to advance the deployment of the third-generation 10 kV SiC MOSFET in converter applications. A custom-built 10 kV double-pulse test platform is developed with a fully documented component-sizing methodology, custom medium-voltage magnetics, and a measurement infrastructure capable of high bandwidth waveform capture at kilovolt common-mode potentials. On this platform, the third-generation …

Automated Circuit Design Algorithm And Implementation For Asynchronous Reset (Ares) Physically Unclonable Functions, Andrew Michael Felder

Graduate Theses and Dissertations

Technology is increasingly interwoven in all aspects of society as it solves new problems, creates new possibilities, and enables new conveniences. With its unceasing evolution, environments handling protected information such as military, finance, and medicine demand ever-evolving threat mitigation. Combating attackers’ abilities to spoof devices, uncover cryptographic keys, and bypass security features is a never-ending task which drives technological advancement to improve existing capabilities and develop entirely new methodologies. In this dissertation work, the hybrid Asynchronous RESet Physically Unclonable Function (ARES PUF) is evaluated at the circuit to determine its merits as a PUF. As part of this evaluation, results …

Privacy Protection In Machine Learning: Methods For Structured And Unstructured Data, Karuna Bhaila

Graduate Theses and Dissertations

As machine learning models become increasingly integrated into data-driven decision-making, the protection of sensitive information throughout the model lifecycle is a paramount concern. As these models process and memorize sensitive, proprietary, or personal data, they risk leaking information through their outputs or internal states, especially in domains such as healthcare and finance. The protection of data in machine learning has thus been a crucial field of study. Within this paradigm, researchers have studied theoretical and application-oriented mechanisms for realizing privacy protections for various data formats. Nonetheless, privacy in machine learning still has many open problems, especially with the emergence of …