Digital Commons Network^™

Testing P300-Based Biometric Authentication Paradigms, Jordan Razzak

Electronic Theses and Dissertations

Bench research suggests that P300 amplitude is greater in response to self-relevant stimuli compared to familiar stimuli. This effect could enable a novel method of biometric authentication based on the self-relevant P300. This dissertation aims to: (1) determine the optimal presentation paradigm for leveraging self-relevance in P300-based biometric authentication, and (2) investigate P300 responses from self-relevant stimuli versus stimuli learned over the course of a week.

Two presentation paradigms were compared – rapid serial visual presentation (RSVP) and matrix presentation (MP). Participant-specific RSVP and MP classifiers were trained by applying stepwise linear discriminant analysis to data collected during presentations of …

Reapplication And Credential Completion Among Non-Selected Community College Health Science Applicants: A Social Stratification Perspective, Donna G. Whitehouse

Electronic Theses and Dissertations

Reapplication and Credential Completion Among Non-Selected Community College Health Science Applicants: A Social Stratification Perspective by Donna Whitehouse Community colleges serve as primary access points for healthcare workforce preparation, yet thousands of qualified applicants are not selected for competitive admission health science programs each year. Research on what happens to these students following non-selection is limited, and existing studies focus almost exclusively on nursing, leaving allied health programs largely absent from the literature. This study addressed that gap by examining the reapplication behavior and credential completion outcomes among 2,604 applicants to three competitive admission health science programs, Nursing, Occupational Therapy …

Enabling Multi-Task Neural Network Inference On Heterogeneous Edge Devices, Redwanul Islam Arif

Master's Theses

Deep neural networks are increasingly required to run on the devices that generate the data. If such a device must perform more than one task, the standard practice is deploying one model per task, which makes memory grow linearly with task count, which is unacceptable when the entire budget is kilobytes. This thesis asks one question in three settings: how much capability can a network acquire without incurring deployment cost?

The first study takes an ImageNet-pretrained ResNet-18, sweeps the branch point across every residual stage and the classification-head depth across one, ten, and twenty layers, and deploys the resulting multi-head …

Spatial And Hydrologic Effects Of Climate Change And Urbanization On Freshwater Fish Communities In North Georgia Watersheds, Mayuko Mizutani

Master's Theses

Urbanization and climate change are altering streamflow and land cover across the southeastern United States, threatening freshwater biodiversity in rivers already burdened by impoundments and habitat loss. I investigated how changes in streamflow and land cover might affect fish community biodiversity in the Etowah River watershed of North Georgia. By combining a dataset of fish collections from 1999 through 2019 with contemporaneous land use and daily streamflow, I was able to model fish community responses to urbanization and climate-driven hydrologic changes and then forecast fish community structure under multiple CMIP6 global climate models and greenhouse gas emissions scenarios (SSP2-4.5 and …

Federated Learning For Early Medical Diagnosis: Enhanced Diabetic Retinopathy Detection In Smart Healthcare, Mohammad Nasajpour Esfahani

Master's Theses

This thesis investigates the role of federated learning as a privacy-preserving solution for modern healthcare challenges. In traditional machine learning, sensitive medical data must be centralized for model training, raising concerns about privacy, security, and regulatory compliance. Federated learning offers an alternative by allowing hospitals, clinics, and personal health devices to collaboratively train shared models without exchanging raw patient data. The study first explores how federated learning is being used across various healthcare domains, including cancer detection, medical imaging, and disease prediction— highlighting its potential to support secure collaboration across institutions. It addresses key benefits such as data privacy, scalability, …

Student Motivation In Writing, Technology Integration, And Middle Grade Pedagogy, Carol M. Edge

Dissertations

This qualitative case study explored how seventh-grade students experienced three-dimensional (3D) holographic technology during writing instruction. Grounded in Self-Determination Theory (SDT) and Multimodality Theory, the study examined how students’ intrinsic motivation processes were influenced by immersive learning environments that incorporated multiple modes of communication. A qualitative case study design was employed with 15 seventh-grade students. Data were triangulated through classroom observations, semi-structured interviews, focus groups, and artifact analysis.

Findings indicated that the 3D holographic environment supported students’ experiences of autonomy, competence, and relatedness. Students engaged with diverse modes of expression, including textual, visual, spatial, and gestural forms, which enhanced their …

Bridging The Gap: A Qualitative Case Study Of Pre-K Teachers' Literacy Professional Development Needs In The Context Of Georgia's Early Literacy Act (Hb 538), Deborah Lissimore

Dissertations

Abstract

The purpose of this qualitative case study was to explore how school-based pre-K teachers in Georgia perceived their literacy professional development needs within the context of the Georgia Early Literacy Act, House Bill 538, and to examine the role of teacher leadership in supporting their professional learning. Although the Act established evidence-based literacy requirements and professional learning expectations for kindergarten through third grade educators, comparable supports for school-based pre-K teachers were not clearly defined. Participants included five certified pre-K teachers employed in a Georgia public school district. Data were collected through semi-structured interviews and researcher field notes, with member …

Rural Middle School Teacher Perceptions Of Ai-Generated Feedback, Chad J. Dewolf

Dissertations

The Artificial intelligence (AI) technologies that generate automated feedback are increasingly present in educational environments. However, limited research has investigated teachers’ perceptions of the usefulness, reliability, and instructional value of AI-generated feedback. This qualitative study explored rural middle school teachers’ perceptions of AI-generated feedback and examined factors influencing their acceptance and potential classroom use of this technology. Guided by the Artificial Intelligence Technology Acceptance Model (AI-TAM), the study examined how perceived usefulness, perceived ease of use, and trust influence teachers’ attitudes toward AI-assisted feedback.

The study involved ten rural middle school teachers in northeastern Georgia in the United States. A …

A Phenomenological Study Of The Lived Experiences Of African American Female Leaders In Public K-12 Schools In Georgia, Tyisha Davis

Dissertations

The purpose of this phenomenological study was to explore how the intersectionality of race and gender shapes the leadership experiences of African American women in public K–12 schools. Despite comprising a significant portion of the educator workforce, African American women remain underrepresented in school leadership positions nationally, warranting deeper examinations of their professional pathways and daily realities. This qualitative study employed interpretative phenomenological analysis, guided by an intersectional framework, to understand the lived experiences of 10 African American female educational leaders across K–12 settings in Georgia. Principals, assistant principals, instructional specialists, and a superintendent engaged in semi-structured interviews analyzed through …

Perceptions Of Family Involvement And Its Influence On High School Attendance: Voices Of Families And Mathematics Teachers, Amber Phillips

Dissertations

Chronic absenteeism continues to be a growing concern in high schools, particularly in the years following the COVID-19 pandemic. Although family involvement has been widely studied in elementary and middle schools, less is known about how families and mathematics teachers experience school-based family involvement at the high school level. This qualitative case study explored those perspectives at a rural high school in Northwest Georgia. Individual semi-structured interviews were conducted with five families and five upper-level mathematics teachers, and a focus group was conducted with eight mathematics teachers. Interview and focus group transcripts were analyzed using structural and focused coding to …

Applications Of Machine Learning To Gas Plume Analysis In Longwave Infrared Hyperspectral Images, Scout C. Jarman

All Graduate Theses and Dissertations, Fall 2023 to Present

Each pixel from a hyperspectral camera measures the intensity of light over a continuous range of wavelengths, which is in contrast to traditional color cameras, which just measure the intensity of red, green, and blue wavelengths of light. Longwave infrared hyperspectral images can be used to detect gases from a distance by measuring how different materials emit and absorb heat. This makes them useful for applications such as monitoring industrial emissions or locating hazardous gas leaks. In practice, however, gas signatures in these hyperspectral images are often weak and easily obscured by variations in the background scene, making reliable identification …

A Comparison Of The Effectiveness Of Teacher-Led And Student-Supported Variations Of The Good Behavior Game, Patrick Wells

All Graduate Theses and Dissertations, Fall 2023 to Present

This project examined the effectiveness of two variations of the Good Behavior Game (GBG) intervention: the traditional teacher-led and a student-supported variation. The traditional intervention has been shown to be an effective intervention for reducing disruptive classroom behaviors. Despite its effectiveness, proper implementation does require additional effort from the teacher—effort that may better be directed toward improving instruction. A student-supported variation of the intervention has the potential to reduce the effort required of teachers who wish to implement the intervention in their classroom. We utilized a nonconcurrent, multiple baseline design with alternating treatment to compare the effectiveness of both versions …

The Influence Of Habitat And Individual Specialization On Mountain Lion (Puma Concolor) Hunting Strategy In A Multi-Prey System, Hannah B. Klugman

All Graduate Theses and Dissertations, Fall 2023 to Present

There is a growing recognition that animal species considered generalists (having a broad and varied diet), are actually specialists, a collection of individuals with different preferences and strategies known as specializations. The diet of a specialist depends on the variety and quantity of available food options, and their own ability to take what they need. Mountain lions (Puma concolor) are known for their ability and tendency to hunt large prey, such as elk (Cervus canadensis) and mule deer (Odocoileus hemionus), but despite the fact they overlap with other potential large prey, like feral horses …

Agronomic And Economic Evaluation Of Alternative Forage Crops Under Irrigation Technologies And Deficit Irrigation, Shikha Sharma

All Graduate Theses and Dissertations, Fall 2023 to Present

Water is becoming more limited in the western United States, including Utah, so farmers need forage crops that can produce well while using less irrigation water. This study examined how different forage crops respond to reduced irrigation and different irrigation application methods, and whether some crops can provide better economic returns under limited water conditions.

Field studies were conducted at three Utah locations, Cedar City, Logan, and Vernal, from 2020 to 2024. The alternative forage crops included teff, sorghum-sudangrass (sudex), and forage rye. For economic comparison, conventional forage crops included alfalfa, corn, and three-way small grains. Four to five irrigation …

Bees In The Trap: Leveraging Bumble Bee (Hymenoptera: Apidae: Bombus) Bycatch For Ecological And Genetic Insights, Tori L. Strausser

All Graduate Theses and Dissertations, Fall 2023 to Present

Managers rely on insect monitoring traps to detect insect pests that harm crops and protect food and other agricultural production. However, these traps also capture non-target insects, including bumble bees, raising concerns about whether repeated trapping could harm pollinator populations. This thesis explores whether bees caught as non-targets, also called bycatch, in routine pest monitoring traps can be used to better understand bumble bee populations, and whether traps pose risks to their long-term persistence. Using bumble bees collected from pest surveillance traps placed in crop fields across Utah, this research examined seasonal patterns in body size, timing of capture, and …

Bridging Animal Production And Human Nutrition: How Production Ecology Shapes The Nutritional Quality Of Terrestrial Animal Foods And Human Omega-3 Status, Joseph Vinod Varre

All Graduate Theses and Dissertations, Fall 2023 to Present

The question at the center of this dissertation is simple: does the way food is produced change the quality of the food itself in ways that matter for human health? Across a series of studies on bison meat, eggs, and human dietary intervention, the answer was yes. This work began with a broad look at the modern food system and the nutritional consequences of industrialized diets. In particular, it focused on the growing imbalance between omega-6 and omega-3 fatty acids in the Western diet. This balance matters because omega-3 fats support heart, brain, and immune health, and diets high in …

The Impact Of Early Exposure To Engineering Concepts In The Form Of Family, School Classes, And Stem Extracurriculars On The Long-Term Sense Of Belonging In Undergraduate Women In Engineering, Hannah Lloyd

All Graduate Theses and Dissertations, Fall 2023 to Present

Engineering continues to struggle with the underrepresentation of women, and many women who begin engineering programs report feeling isolated or uncertain about whether they belong. A strong sense of belonging has been linked to greater confidence, persistence, and success in engineering. This study examined how early experiences with engineering before college may influence students' sense of belonging later in their undergraduate engineering programs.

Using survey responses from undergraduate engineering students across the United States, this study explored several types of early exposure to engineering, including family influence, school-based engineering and STEM courses, extracurricular programs such as robotics clubs and engineering …

Investigating Factors That Affect Students' Help-Seeking Strategies In A University-Level Foundational Mathematics Course, Randall I. Haws

All Graduate Theses and Dissertations, Fall 2023 to Present

Quantitative literacy, or the ability to understand and use mathematical information, is an important skill developed in college. However, required math courses can be a major obstacle for many students, and those who struggle to complete them are more likely to leave school without earning a degree. Understanding why some students seek help while others do not is key to improving student success.

This study explores how students in a university-level foundational mathematics course (college algebra) seek help and what factors influence their use of available support services. A total of 118 students completed a survey about their help-seeking behaviors, …

Learning Latent Structure In High-Dimensional Data Via Geometry And Graphs, Haozhe Chen

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern datasets often contain many measured variables for each observation, such as gene-expression levels, brain activity signals, or features in tabular data. These data are also often noisy, meaning that useful patterns are mixed with measurement error or irrelevant variation. Although such datasets can appear complex, they are frequently represented by simpler hidden structures, such as trajectories, clusters, or relationships between observations. This dissertation develops methods for uncovering these hidden structures by learning geometric and graph-based representations directly from data. The first part introduces Functional Information Geometry, which represents local patterns in high-dimensional data using functional features and constructs a …

Unifying And Expanding Global And Local Variable Importance Methods For Explainable Machine Learning, Kelvyn K. Bladen

All Graduate Theses and Dissertations, Fall 2023 to Present

Machine learning methods are powerful analytical tools used across all scientific disciplines and many other fields of investigation for prediction and inference from diverse data sources. Despite their broad applicability, machine learning methods are often highly complex and difficult to interpret. Developing a greater understanding of which variables most influence a response is essential for increasing the interpretability of these models and supporting informed decision-making. This research focuses on improving how we evaluate the importance of these variables.

One common approach is to shuffle the values of a variable and see how much the model accuracy gets worse. Another approach …

Three Essays In Discrete Choice Analysis: Valuation, Attention Level, And Spatial Heterogeneity, Marcelo Pignatari

All Graduate Theses and Dissertations, Fall 2023 to Present

Understanding how people value food labels and environmental goods is essential for designing policies, incentives, and market mechanisms that improve the well-being of the population. In this study, we found that a local label indicating that fruit was produced in Utah makes Utahns value strawberries, gala apples, and dried tart cherries more. An organic label has a similar effect, which is especially strong for dried tart cherries. In contrast, a freshness label only increases value for fruits with a shorter shelf life, such as strawberries. We also found that people who chose to access clarifying information about what these labels …

Advancing Management Strategies For Two Promising Mason Bee Species (Osmia Ribifloris And Osmia Bruneri) For Berry Pollination, Miranda L. Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Bee management can broadly refer to human manipulation of one or multiple parts of a bee’s lifecycle. Managing honey bees, commonly referred to as beekeeping, is responsible for providing most pollination for global food crops. However, using more than one bee species for crop pollination can have many benefits. Benefits include better crop pollination and insurance in case one bee species underperforms or its population collapses. Some bees within the genus Osmia are already widely managed for crop pollination because their developmental lifecycle allows bee managers to readily deploy pollinating bees in sync with varying crop blooms, and for certain …

Sensitivity Analysis Of A Low-Power Wireless Capacitive Charging System To Inform Thermal Limitations And Battery Size Reduction Potential For Electric Passenger Vehicles, Karmen Teuscher

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of using electric vehicles instead of internal combustion engine vehicles that burn gas is to reduce pollutants in the air and potential environmental impacts such as climate change. EVs produce much less air pollutants than ICEVs but manufacturing the EV batteries and the repeated recharging still contributes to the overall air pollution.

Capacitive power transfer systems can wirelessly charge vehicles through the road as they drive along highways or stop at traffic lights. If vehicles charge as they drive, an opportunity opens to reduce the size of the battery while maintaining the same driving range. Reducing the size …

Visualizing The Phase Space Of Two Interacting Spherical Magnets Via Lagrangian Descriptors, Matthew Pontius

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis studies the motion of one spherical magnet sliding on another fixed spherical magnet. Although the setup is simple, the resulting motion can range from regular and predictable to chaotic as the energy increases. To understand this behavior, mathematical tools are used to visualize how all possible motions are organized in phase space. These methods reveal patterns such as stable regions, repeating motions, and chaotic trajectories. The results show how order and chaos coexist in this system and provide insight into how small changes in the initial conditions can lead to very different outcomes.

Pesticide Dissipation In Agroecosystems – Exploring Pesticide Fate And Transport Mechanisms To Protect Alternative Pollinators, Calvin Luu

All Graduate Theses and Dissertations, Fall 2023 to Present

Honey bees are the most well-known pollinators, but there exists thousands of other bee species that contribute to pollination; one such group of bees are the solitary bees. True to their namesake, solitary bees do not live in hives like honey bees. Some solitary bees, like alfalfa leafcutting bees (ALCB) and blue orchard bees, can pollinate crops more efficiently than honey bees. However, since they live solitary lives, pesticide exposure is much more harmful to their overall population. If one honey bee dies from pesticide exposure, the hive can still survive, and the queen bee will continue producing offspring. If …

Hidden Symmetries And Higher Dimensional Rotating Black Holes, Luis Fernando Temoche Hurtado

All Graduate Theses and Dissertations, Fall 2023 to Present

A standard approach to probing the dynamics of a physical system is to expose it to an external perturbation—such as an incident wave—and analyze its response after the interaction. Mathematically, this procedure is formulated in terms of differential equations governing the evolution of the perturbation.

In the context of black hole physics, an analogous strategy can be employed by studying the response of the event horizon to external perturbations. The differential equations describing these interactions are often invariant under nontrivial transformations, revealing hidden symmetries that help explain distinctive features of higher-dimensional black holes.

By exploiting these hidden symmetries in the …

The Impact Of Ai On The Landscape Design Process, Jacob Owen Huff

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence (AI) is becoming more common in design fields, including landscape architecture. For example, AI has been used to visually analyze park aesthetics and generate landscape design concepts (Jahani et al., 2022; Senem et al., 2023; Ploennigs & Berger, 2023). This study explores how AI, specifically an image-generation tool called Midjourney, affects the design process for landscape architecture students.

Students completed two design projects—one using AI-generated images and one using traditional, non-AI precedent images. Their final designs were evaluated by professional landscape architects who did not know which designs had been influenced by AI. Students also completed surveys about …

Evolving Roles: School Counselors Addressing Mental Health In Pk-12 Education, Evin Daines

All Graduate Theses and Dissertations, Fall 2023 to Present

A significant number of children and youth are currently experiencing poor mental health. School counselors work with all students and are in a position to provide support to students experiencing mental health challenges. School counselors can also identify what may hinder children and youth from accessing mental health resources in their communities. This study explores how many school counselors engage in mental health counseling, how school counselors view their roles in addressing student mental health, and what barriers they perceive as keeping children and youth from accessing mental health and behavior services.

Comparing Error Correction Strategies In Discrete Trial Training For Children With Autism, Rachael Litchford

All Graduate Theses and Dissertations, Fall 2023 to Present

Children diagnosed with Autism Spectrum Disorder (ASD) often require structured, evidence-based teaching methods to promote skill acquisition. Discrete Trial Training (DTT) is one such approach widely used in Applied Behavior Analysis (ABA) to teach skills through repeated learning opportunities. However, limited research has compared the efficiency of specific error correction procedures within DTT. This study examined the comparative effectiveness of two error correction strategies, Active Student Response (ASR) and Model-Only, when acquiring tacting skills for children ages 2-10 with ASD. An alternating treatments design (ATD) was used to evaluate each strategy’s impact on skill acquisition, as measured by the percentage …

Pavlovian Conditioning And Self-Control: From Laboratory To Classroom Application, Saba Mahmoudi

All Graduate Theses and Dissertations, Fall 2023 to Present

Impulsive choice, the preference for a smaller-sooner reward (SSR) over a larger-later reward (LLR), is associated with various challenging behaviors (e.g., gambling and substance-used disorders). Many interventions can reduce impulsive choice but those that produce long-lasting effects typically require long training durations or are difficult to implement in applied settings. This dissertation evaluated a novel Pavlovian training approach designed to promote self-control. In Experiment 1, procedures from Mahmoudi and Madden (2024) were replicated in the laboratory with the addition of a truly random control group. The study also assessed whether presenting the conditioned stimulus (CS) before a choice would increase …