Digital Commons Network^™

Lack Of Effects Of Autistic Traits On Adjunct Control Processing, Alyssa Crezee

Theses and Dissertations

Autism has effects on social, communication, and information processing factors (American Psychological Association, 2022; Happé & Frith, 2006). Sentence processing is a type of information processing that synthesizes both discourse and local information (e.g., syntactic and morphological). This thesis explores potential effects of autistic traits on sentence processing in the context of adjunct control structures. In a two-part study, adult English L1 participants (n=118) were administered a self-paced-reading (SPR) task with comprehension and acceptability questions for task 1. Task 2 consisted of an online survey containing three standardized autism questionnaires: the Autism Quotient (AQ; Baron-Cohen et al, 2001), the Broad …

U.S. Black Men’S Perceptions Of The Similarities And Interplay Among Mind-Body Practices, Spirituality, And Religion: A Qualitative Study, Khanh Pham

Theses and Dissertations

This qualitative study explored U.S. Black men’s perceptions of relations among mind-body practices (MBPs), spirituality, and religion to understand how these factors might influence Black men’s health. Reflexive thematic analysis was used to analyze data from individual semi-structured interviews with 18 Black male MBP instructors. Five themes were generated. The themes were (1) spirit(uality) is the foundation for Black men’s experience of life seen and unseen, (2) MBPs and religion are rooted in spirituality, (3) MBPs, religion, and Black culture share common characteristics, (4) MBPs and religion facilitate holistic wellbeing, and (5) confusion and negative perceptions about MBPs, spirituality, and …

Context-Sensitive Control-Flow Analysis For Non-Standard Language Semantics, Tim Whiting

Theses and Dissertations

Control-Flow Analysis (CFA) is a static technique for understanding the execution of higher-order programs without running the code. CFA aids in identifying bugs, assisting program comprehension, and exposing optimization opportunities. Constructing a CFA typically begins with an idealized evaluator--such as an abstract machine or interpreter--and proceeds by approximating components of evaluation to ensure that: (a) the analysis is sound (representing all possible behaviors), and (b) the analysis is guaranteed to terminate (finitely representable). These constraints necessitate a loss of precision, providing an approximation of the values that flow to program locations rather than exact execution traces. This imprecision causes the …

A Peer Evaluation Of Safety At Signalized Intersections, Auzton Mitchell Stutts

Theses and Dissertations

The Utah Department of Transportation (UDOT) has made significant efforts to reduce crashes at signalized intersections and is constantly seeking to improve safety across the state. The purpose of this research is to quantify and evaluate the safety rates and frequencies at signalized intersections in Utah compared to other states. Once the crashes have been quantified, the secondary purpose is to determine why there may or may not be differences. A survey was developed to understand how states analyze, prioritize, and implement safety at signalized intersections, including different policies, procedures, and countermeasures. Crash data from eight states were analyzed and …

Data Science In The Utah Draft K-12 Standards Of Mathematics, Kate Webster Green

Theses and Dissertations

In today's data-driven world, the field of data science is becoming increasingly important. Research has shown that more job listings in Utah require applicants to have data science skills than ever before. Due to this growing demand, there is a push to begin data science instruction in grades K-12; however, what data science instruction is in grades K-12 is not yet clearly defined. Previous research has identified the skills and processes that make up data science in grades K-12, and several states and research groups have begun developing and implementing data science standards and learning progressions. This study analyzes the …

Design Of Precise Hinges For Optical Space Arrays, Jacob Sutton

Theses and Dissertations

Deployable origami-based arrays offer significant advantages for space optical systems due to their ability to stow compactly and deploy to a large surface area. However, achieving the panel alignment precision required for optical applications remains an open challenge, particularly for non-rigid-foldable patterns such as the flasher, where large relative motion during deployment and geometric constraints at panel interfaces limit the effectiveness of traditional hinge designs. This thesis addresses the precision alignment challenge through the design, prototyping, and experimental testing of novel passive precision hinges for rigid-panel origami-based deployable space arrays. A compact kinematic coupling hinge incorporating Lamina Emergent Torsional (LET) …

The Evolution Of Collaborative Dialogue And Instructional Change Among Secondary Mathematics Teachers Engaged In Peer Observation, Shazia Akbar

Theses and Dissertations

This qualitative study examined how collaborative dialogue evolved across four cycles of a formative peer observation system involving one veteran and two first-year secondary mathematics teachers, exploring which aspects of that dialogue teachers attributed to changes in their instructional practice. Using the Math Talk for Equitable Participation (MTEP) framework across one academic year, data were drawn from verbatim transcripts of eight collaborative sessions and video-stimulated recall interviews. Four key findings emerged: evidence shifted from planning documents to video of student thinking, deepening pedagogical reasoning; novice teacher contributions grew from peripheral to central; relational trust fostered critical rather than merely affirming …

Modeling The Spread Of Competing Narratives In Multimodal Social Media Network, Mayor Inna Gurung

Theses and Dissertations

Social media has fundamentally transformed how narratives are produced, contested, and disseminated, enabling competing interpretations of the same event to spread rapidly across networked populations. Understanding how narratives gain traction over others in these environments is critical for addressing misinformation, supporting informed public discourse, and designing effective counter-messaging strategies. Yet existing research largely treats narrative propagation as a single-process phenomenon and focuses predominantly on textual data, overlooking both the competitive dynamics between opposing narratives and the growing role of visual symbolic communication in shaping how narratives are received. This dissertation addresses these gaps through a multi-platform, multimodal framework applied to …

Dual Language Immersion In Utah Schools: Examining Experiences And Access To Improve Sustainability, Melissa Catherine Jensen Kimball

Theses and Dissertations

Dual language immersion (DLI) programs can impact students in many ways. Multiple researchers have studied the effects of these programs and have found numerous benefits. However, there is little published information on the actual experiences of individuals in schools with a DLI program, including those who are involved in the program and those who were a part of DLI school communities but not directly involved in the program. A. Hawks, J. Rowley, D. Stovall, and their respective thesis and dissertation committees created a survey to better understand the current perspectives of administrators, parents, teachers, and other school staff on these …

The Impact Of Student Choice On Reading Engagement And Comprehension In First Grade, Gia Stella Nardi

Theses and Dissertations

The purpose of this study was to (a) examine the effect of student choice on first-grade students’ reading engagement and (b) determine how student choice impacted their reading comprehension during instruction. Throughout the study, students utilized a choice board following each read-aloud to express their understanding of what they perceived as important in the text. Findings indicated that students demonstrated high levels of engagement during the 12 read-alouds, which were intentionally selected based on their interests, as well as during the choice-based activities that followed. Additionally, students showed growth in their ability to apply key comprehension skills, including summarizing, identifying …

Scientific Crosstalk: Natural Language Processing, Praveshika Bhandari

Theses and Dissertations

While sentiment analysis has made significant strides in domains such as social media and personal correspondence, its application to formal scientific writings remains under-explored. The crosstalk between emotional expressions in personal and professional communications has also received limited attention despite its potential to reveal insights into the emotional drivers of scientific creativity. Our research introduces a computational framework designed to detect and quantify emotional expressions across various documents over time. Leveraging state-of-the-art transformer models fine-tuned on domain-specific corpora, the framework models emotional tone distribution. Integrating emotion analysis with knowledge graph modeling enables the exploration of emotional trends alongside key scientific …

Effects Of Divided Attention On Linguistic Tasks And Speech In Healthy Young Adults, Allison Coca

Theses and Dissertations

The purpose of this study was to determine the effects of divided attention on concurrent speech and linguistic tasks by investigating performance on three linguistic computer tasks (phonological, syntactic, and semantic) and speech kinematics. Thirty-seven healthy young adults (19 male, 18 female) ages 19-30 were recorded performing a sentence repetition task using electromagnetic articulography. Each participant completed the sentence repetition once in isolation and once concurrently with each of the three linguistic computer tasks. Participants also completed computer tasks in isolation. Significant dual-task effects were observed on total number of correct responses in the phonological and syntactic linguistic tasks. No …

Harnessing Story To Overcome The Double Empathy Problem Between Autistic And Neurotypical People: Brain-Behavior Relationships, Kate Gifford

Theses and Dissertations

There is a dearth of information on the physical aspects of the Double Empathy Problem which is the bidirectional challenge of shared empathy and understanding between autistic and neurotypical individuals. Storytelling has been shown as means to facilitate empathy between storytellers and listeners in both neurotypical and autistic populations through behavioral research. Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used to evaluate the hemodynamic response in the cortex and can be used to compare hemodynamic responses across multiple individuals (i.e., hyperscanning). The purpose of this study was to examine activation in empathy-related brain regions and assess brain synchrony between …

Centering Well-Being And Wholeness: Exploring Racial Battle Fatigue Among Black 3-K To Twelfth-Grade Teachers, Olubunmi Fashusi

Theses and Dissertations

This qualitative case study, with some descriptive statistics, examined Black 3-K through 12th- grade teachers’ experiences with racial battle fatigue (RBF), the psychological and behavioral stress responses they perceived most accurately convey how RBF manifests for them, and the strategies they used to disrupt RBF’s impact. Participants experienced compounded RBF due to advocating for students (i.e., speaking out, supporting, or intervening). Participants’ most perceived psychological stress response to RBF was racism awareness, and most perceived behavioral stress response was spirituality or religion. Participants disrupted the impact of RBF through intrinsic care (i.e., purpose or why, managing emotions, and self-care) and …

Design And Optimization Of A Bluff Body For Energy Harvesting Of Transverse Galloping Induced By Low-Speed Wind Using Bernstein Polynomial Equations, Youssef Wael Abdelmoneim

Theses and Dissertations

In this thesis, a computational framework is proposed for optimizing the aerodynamic shape of bluff bodies used in galloping-based wind energy harvesters. The system targets low-wind speed environments, where normal wind turbines are not effective, offering a potential alternative to batteries used for powering small electronic devices such as wireless sensors. The design relies on the galloping effect, where airflow around a bluff body induces transverse oscillations that drive an energy conversion mechanism. To generate efficient bluff body geometry, the Class-Shape Transformation (CST) method is used to define a wide range of candidate shapes with minimal design parameters. These shapes …

Spatiospectral Lobes And Radiation Modeling Of Partially Coherent Supersonic Jet Noise, Tyce Wayne Olaveson

Theses and Dissertations

Noise fields generated by high-performance military jets are known to contain acoustic structures that differ from their simulated and lab-scale counterparts. These differences may limit current noise control efforts, which are designed and tested at scale before being considered for full-scale aircraft. One such noise structure is the presence of spatiospectral lobes, which appear as multiple spectral peaks at single microphone locations and multiple radiation lobes in field reconstructions. This dissertation uses data collected from the T-7A jet noise measurement to characterize the spatial behavior of the spatiospectral lobes as well as their first time-domain description. A multiple wavepacket decomposition …

Parent Perspectives On Primary And Secondary Online Learning, Barbara Tanner Sandberg

Theses and Dissertations

Given the growth of K-12 online learning and the expanded responsibilities parents often assume in this learning context, the purpose of this dissertation is to understand parents' perspectives on K-12 online learning. The first article reviews and synthesizes literature documenting parents' perspectives on how instructional modality affects parental support. Instructional modality affects parental support roles, parental perception of online school support, parents' lives outside the online course, and students' online learning support needs. Hence, parents expect modality decisions to account for modality affordances, student engagement, and personal circumstances. The second article examines parent perspectives on the decision to leave a …

The Disconnect In Female Labour Force Participation Policy In Egypt: Design And Implementation Gaps, Miral Mohamed Omran

Theses and Dissertations

This study investigates the disconnect between Egypt's ambitious female labor force participation (FLFP) policy goals in the National Strategy for the Empowerment of Egyptian Women 2030 and the declining indicators since its launch. Applying Van Meter and Van Horn's implementation framework, it analyzes the full policy process using qualitative interviews across government, civil society, and private sector actors involved in the national policy’s design and execution. Findings reveal structural failures, resource shortages, coordination gaps, leadership turnover, and donor-driven fragmentation, intensified by cultural norms and frontline resistance. Recommendations prioritize short-term administrative tweaks leveraging public sector downsizing for harmonization and rethinking the …

Traveling Wave Fronts For Sir Epidemic Models With Nonlocal Dispersal And Delayed Effects, Ashley Evette Embry

Theses and Dissertations

This dissertation investigates traveling wave solutions for two classes of delayed nonlocal dispersal susceptible--infected--recovered (SIR) epidemic models incorporating biologically realistic mechanisms such as delayed infectivity, delayed dispersal, nonlocal transmission, demographic turnover, and nonlinear incidence effects. These models extend classical spatial epidemic frameworks by allowing long-range population movement through nonlocal dispersal operators and incorporating temporal memory into both diffusion and transmission processes. The primary objective is to establish the existence of traveling wave solutions connecting disease-free equilibria to endemic states and to characterize threshold conditions governing epidemic propagation. The simultaneous presence of nonlocal dispersal, multiple delays, and non-monotone nonlinear incidence terms …

Rethinking Functional Groupings In Basketball Wings Through Ecological Trait Frameworks, Dhruv Mehrotra

Theses and Dissertations

This paper starts with a review about Plant Functional Types and then goes deeper into the conceptual foundations of Plant Functional Types (PFT's) with detailed discussion of global trait spectra such as the leaf economics spectrum and the fast-slow continuum. Using concepts like response and effect traits, the review then talks about how a trait based ecological framework can provide a more robust guideline to classify plants. The review then talks about how players in basketball have been classified in the past along with some of the newer typologies. The review starts to draw some parallels between the ecological framework …

Vigor: Virtual Intelligence For Gaze Observation And Representation, Meherun Nesa Shraboni

Theses and Dissertations

Eye tracking in modern XR head-mounted displays can capture high-frequency gaze data at 90–120 Hz, generating thousands of samples within a single 30-second interaction. At the same time, the XR market has grown to millions of active users worldwide, with major platforms such as Meta investing heavily in eye-tracking-enabled devices. Despite this large-scale adoption and data availability, most applications still rely on hand-controller input, with gaze either processed offline or reduced to a simple pointing signal. As a result, the majority of temporally rich gaze information remains unused in real-time interaction, limiting system responsiveness, reducing interaction fidelity, and preventing effective …

The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown

Theses and Dissertations

Object detection is an important operation for satellites to be able to perform, and in outer-space missions it is crucial that machine learning models perform inference on satellite images accurately and reliably. Where size, weight, power, and other constraints exist, meeting this goal for accurate and reliable object detection is challenging. Additionally, soft errors caused by radiation further disrupt and degrade the operation of object detection in satellites. This thesis studies the performance of a deep learning model on an embedded device, the AMD Versal, in the presence of soft errors. The well-known and high-performing YOLO convolutional neural network was …

Power Consumption Prediction And Energy Forecasting Using Machine Learning Models, Sheik Mohideen Shah S Mr

Theses and Dissertations

Power consumption trends are essential to be identified in the energy grid areas to analyze the utilization, deficiency, and the measures to be taken for an effective and comfortable usage of energy. There are two scenarios in which the power consumption can be analyzed, namely identification and prediction. Identification deals with the post-utilization analysis of energy trends, whereas prediction deals with prior analysis of various factors of energy utilization, including the cost, supply details, shortages, and the need for new energy resources. In the existing models, the power consumption-related data are collected through smart meters, and the energy forecasting methods …

Multimodal Analysis Of Content Drift And Algorithmic Bias In Youtube Recommendations, Mert Can Cakmak

Theses and Dissertations

Recommendation systems play a major role in shaping how users encounter information on digital platforms, yet their influence often unfolds through sequences of recommended content rather than isolated outputs. This dissertation investigates recommendation bias on YouTube by examining how recommendation pathways evolve across long-form videos and YouTube Shorts. Focusing on politically sensitive narratives, including the China–Uyghur conflict, the South China Sea dispute, and Taiwan’s 2024 presidential election, the dissertation develops a unified framework for understanding how recommendation systems reshape exposure across platform formats. Using an audit-based and multimodal methodology, the dissertation combines controlled recommendation collection, topic and relevance analysis, emotion …

Receptivity And The Thing In Itself: Allison, Allais, And The Problem Of Outer Affection In Kant’S Transcendental Idealism, Amr Elmargoushy

Theses and Dissertations

This thesis examines Kant’s distinction between appearances and things in themselves within the framework of transcendental idealism, focusing on how this distinction is meant to secure objective validity while respecting the limits of possible experience. It critically evaluates two influential contemporary interpretations: Henry Allison’s epistemological reading, which understands the distinction as marking different ways of considering the same object, and Lucy Allais’s metaphysical reading, which attributes a grounding role to things in themselves. The thesis argues that while Allison’s reinterpretation successfully avoids noumenal causation by construing affection epistemically, it generates a structural epistemic circularity concerning the role of receptivity and …

Real-Time Instruction Internalization For Large Language Models, Brenden Smith

Theses and Dissertations

For the end user, Large Language Models (LLMs) are programs that process natural language inputs into natural language outputs. In popular usage, this tends to take the form of conversation: a user asks a question, provides information, or gives instructions, and the LLM (hopefully) replies in a manner we would expect of an informed and compliant person. While convenient and intuitive for users, this natural conversational format encourages the misconception that LLMs are learning from conversations, when they do not. This work presents the benefits and practicality of a language model paradigm that meets this user expectation -- that is, …

The Development And Evaluation Of An Automated Tactical Tillage Tool To Identify And Control Weeds In Row-Crop Production Systems Using Vision-Based Machine Learning., Clara Anne Cobb

Theses and Dissertations

Controlling in-field weeds in row-crop production systems is vital to the success of the operation. To control weeds, most producers use combinations of weed control strategies, including tillage and herbicide applications. Cotton production operations across the country have been trending toward conservation tillage practices in an effort to minimize soil disruption and maintain crop residues on the soil surface. This practice, in addition to the adoption of herbicide-tolerant cotton varieties, has encouraged more use of chemical herbicides. The overuse of these herbicides has resulted in an increase in herbicide-resistant weeds, making weed control difficult for farmers. This research aimed to …

From Natural Language To Cryptographic Protocol Specifications: Evaluating Llms For Cpsa Generation, Martin Duclos

Theses and Dissertations

Formal verification can prove the security properties of cryptographic protocols, but translating natural language specifications into formal models requires specialized expertise, limiting the broader adoption of formal verification methods. This dissertation investigates whether large language models (LLMs) can lower this barrier by automatically generating Cryptographic Protocol Shapes Analyzer (CPSA) models from natural language protocol specifications. We evaluate three complementary strategies for improving LLM-based CPSA code generation through systematic experimentation across 104 protocols and 15 language models. First, we analyze prompt engineering and find that moderate structured guidance yields the most accurate outputs, while excessive prompt complexity degrades performance. Second, we …

Why Become A Teacher? Perspectives From Undergraduate Students Majoring In Secondary Mathematics Education, Benjamin E. Jordan

Theses and Dissertations

This qualitative dissertation was an exploration of the motivations and factors influencing undergraduate students to pursue a degree in secondary mathematics education through traditional route teacher preparation programs. Grounded in a pragmatic theoretical framework, the researcher attempted to respond to increasing teacher shortages by seeking to understand why students continue to choose the teaching profession despite documented challenges. Prior research indicated two driving forces students consider when choosing a major: intrinsic influences and extrinsic factors. Semi-structured interviews with six undergraduate students from three Southeastern Conference, R1 land-grant universities were conducted. Four academic advisors from four Southeastern Conference, R1 land-grant universities, …

Machine Learning Assisted Development Of Al0.2cufemnni High Entropy Alloy Through Selective Laser Melting, Hareharen K Mr

Theses and Dissertations

High Entropy Alloys (HEAs) are an emerging class of advanced materials that have gained significant attention due to their exceptional mechanical strength, thermal stability, and structural performance. Unlike conventional alloys based on a single principal element, HEAs are composed of multiple elements in a near-equiatomic ratio. Despite these advantages, designing HEAs with tailored properties is difficult because of the enormous number of possible combinations and the limitations of traditional trial-and-error methods. To overcome these challenges, this study presents a machine learning (ML) based approach to accelerate the design and development of an HEA.

In this work, a newly designed composition, …