Digital Commons Network^™

Effective Traffic Routing Under Disastrous Events Through Machine Learning, Eric Itemuagbor

All Theses

Disastrous events such as hurricanes, wildfires, and floods routinely disrupt transportation networks, preventing emergency response, evacuation, and the delivery of critical supplies. Conventional optimization-based routing methods offer strong theoretical guarantees but cannot scale and are often too slow to support time-sensitive decision-making during a disaster, while prior machine learning approaches to disaster routing have largely prioritized prediction accuracy over inference speed and data efficiency. This thesis investigated whether lightweight machine learning models can deliver both competitive routing accuracy and superior inference speed when trained on limited data, addressing a practical gap between existing research and real-world deployment needs.

The road …

Cost-Effectiveness Evaluation Of Artificial Intelligence-Assisted Chest Radiograph Interpretation For Tuberculosis Screening In Rural Health Units In The Philippines, Harold Henrison C. Chiu, Bryan Christopher C. Lao, Gloanne C. Adolor

Graduate School of Business Publications

Background: Tuberculosis remains a major public health burden in the Philippines, where diagnostic delays are amplified by limited radiology capacity in rural health units (RHUs) and geographically isolated and disadvantaged areas (GIDAs). Computer-aided diagnosis (CAD) using artificial intelligence (AI)-assisted chest radiograph interpretation may shorten the screening pathway and reduce reliance on scarce specialist readers. However, its economic value for RHUbased tuberculosis screening has not been fully evaluated.
Methods: We developed a decision-tree cost-effectiveness model in Microsoft Excel 365 to compare AI-assisted chest radiograph interpretation with conventional manual radiologist or teleradiology interpretation among a theoretical annual cohort of 1,000 presumptive tuberculosis …

Impact Of Chiral Chain Conformations On The Self-Assembly Of Helical Polymers, Michael J. Grant

Theses

Polymers are a soft material with diverse applications across a spectrum of technologies including, but not limited to, packaging, drug-delivery, optics, lithography and templating. This ubiquity stems from over a century of in-depth theoretical and experimental investigations relating polymer size, stiffness and architecture to their emergent material properties. Interestingly, unlike small organic molecules where solution behavior is predominantly a function of hydrophobicity, in polymers, adjusting the aforementioned features can have a dramatic impact on their interactions with neighboring molecules. In turn, this allows for a tunable parameter space enabling the ability to achieve specific engineering goals. Yet, while the impact …

Why Technical Readiness Is Not Enough: Institutional Barriers To Full Harvest Strategy Adoption In The International Pacific Halibut Commission, Evelyn Roozee, Owen Temby, Gordon M. Hickey

School of Earth, Environmental, & Marine Sciences Faculty Publications

Harvest strategies are increasingly promoted as a mechanism to reduce political discretion and align fisheries management with pre-agreed scientific objectives. While substantial progress has been made in tuna regional fisheries management organizations (RFMOs), non-tuna RFMOs have lagged behind. Existing research has focused primarily on technical modeling challenges, with comparatively limited attention to the governance dynamics shaping adoption. Using the International Pacific Halibut Commission (IPHC) as an instrumental case study, we examine the progress and delays in the development of a harvest strategy policy (HSP) through semi-structured interviews and participant observation. We find that the IPHC successfully addressed commonly cited barriers, …

Aqqd: Annotated Quranic Qira’At Dataset, Linda Smail, Mohammed Lataifeh, Md Sohazur Islam Sozib, Arthur Diniz De Souza

All Works

AQQD (Annotated Quranic Qira'at Dataset) is an open audio dataset of Quranic recitations annotated across canonical Qira'at styles. The dataset is designed to support research in machine learning, speech and audio processing, computational linguistics, and Quranic studies. The current release contains 24,183 WAV audio files from 309 reciters and covers 70 selected Quranic Surahs segmented into representative verses and phonetic variation points. Of these, 23,111 recordings were collected from publicly available sources, including official reciter websites, the Midad repository, MP3Quran, and verified YouTube channels, while an additional controlled subset of 1,072 recordings was obtained from a single reciter recorded as …

Modeling The Psychological And Technical Factors Influencing The Use Of Artificial Intelligence Tools Among Non-Native Arabic Learners: A Comparative Study In Egypt, Saudi Arabia, And Jordan., Mohammad Odeh, Alaa Al Din Musa, Ahmed Ragab Ali Ghalish, Montaser Adel Sayed Ahmed

All Works

This study aimed to develop a predictive longitudinal model of the psychological and technical factors influencing the use of artificial intelligence tools among non-native Arabic learners (international students) in three Arab countries: Egypt, the Kingdom of Saudi Arabia, and Jordan. The study adopted an extended Technology Acceptance Model (TAM) incorporating two psychological variables: trust in artificial intelligence and artificial intelligence anxiety. A quantitative longitudinal design with two time waves (T1 and T2) over a full academic semester was employed using Hierarchical Multiple Regression Analysis and PROCESS Macro for mediation. The sample consisted of 812 international students from public universities in …

Sem-Pdpl: Semantic Exposure Graphs For Privacy-Law-Informed Risk Assessment Of Public Social-Media Data, Heba Ismail

All Works

Public social-media content often contains self-disclosed personal attributes that appear low-risk in isolation but become privacy-relevant when linked across posts, platform accounts, or user-level traces. Existing research has advanced privacy-sensitive content detection, de-anonymization analysis, social-media research ethics, and privacy-compliance workflows; however, limited work operationalizes how personal-data disclosures combine structurally and how these structures can be translated into auditable governance actions. This paper proposes SEM-PDPL, a computational, privacy-law-informed risk-assessment framework for modeling public social-media exposure as semantic exposure graphs and mapping graph patterns to controls aligned with the United Arab Emirates Personal Data Protection Law (PDPL) and compatible with GDPR principles. …

Integrating Hydrology And Human Water Footprints: A Case Study Of The Great Salt Lake Basin, Rachel Lynne Seeley

All Graduate Theses and Dissertations, Fall 2023 to Present

Global demand for water is outrunning supply, and how we account for water is part of the problem. Many water management frameworks are based solely on how much physical water moves through rivers, aquifers, and other water bodies, missing the water that is embedded in food and other products a region produces and exports. This study developed a new, generalizable water accounting framework that incorporates this “hidden water,” known as virtual water, into water management and applied the framework in the Great Salt Lake Basin.

The Great Salt Lake is shrinking, and an often-overlooked driver of the lake’s decline is …

Black Adolescents' Understanding Of Racial Trauma: An Interpretive Phenomenological Analysis, Winifred Wilson

Dissertations

Over the past two decades, scholars have increasingly recognized that chronic stress from racism can cause racial trauma in Black individuals. However, research on the impact of racial trauma on Black adolescents remains limited. Understanding the language and experiences of Black adolescents is essential for identifying and addressing the biopsychosocial effects of racial trauma. This study used interpretive phenomenological analysis to examine how 12 Black adolescents (9 boys, 3 girls, aged 14-17) from the Midwest conceptualize, experience, and cope with racial trauma. Participants completed two interviews: an initial session exploring their understanding and experiences, and a member-checking interview (completed by …

Decidability Of The Orbit Problem Over Q(X), Joshua Holden, Alexa Renner

Mathematical Sciences Technical Reports (MSTR)

The orbit problem is the problem of whether, given x, y ∈ Qn and an n × n matrix A, there exists an i ∈ N such that Aix = y. In 1980, Kannan and Lipton proved that the orbit problem is decidable. We show that a generalization of the orbit problem, where the field is Q(X) for X a countable set of transcendentals, is also decidable. We define the orbit power problem for an arbitrary group G to be the problem of when, given x, y ∈ G, there exists an n ∈ Z such that xn = y. …

Understanding The Correlation Between Prediction Performance And Trust In Ai Through Scenario-Based Tasks, Likhitha Kammara

Theses and Dissertations

Trust in artificial intelligence is commonly assessed through self-reported scales or behavioral reliance, yet behavioral reliance is retrospective and can only be observed after a decision has already been made. This thesis examines whether prediction accuracy — a user's ability to predict what an AI system will recommend before its output is revealed — can serve as a prospective correlate of trust in the same empirical sense as behavioral reliance. The study was conducted in two phases using scenario-based AI decision tasks across disaster response, healthcare, and infrastructure restoration contexts, employing a between-group design in which participants either predicted AI …

Quality Versus Qualified: Head Start Program Leaders’ Perceptions Of The Characteristics And Traits Of High-Quality Early Childhood Educators In New York State, Tracy L. Persaud

Education Doctoral

The purpose of this study was to examine how leaders in New York State Head Start programs perceive the interpersonal traits and characteristics that define a high-quality, early childhood educator working with children from ages 3 to 5 years old. While formal qualifications, such as degrees and certifications, remain as requirements for employment, leaders may rely on interpersonal and dispositional qualities to distinguish effective early childhood educators in practice. Guided by credentialism theory, this study explored how leaders define teacher quality beyond credentials and how these perceptions shape hiring, evaluation, and professional support decisions. Data were collected through semi-structured interviews …

Paraeducator Perceptions Of Teacher-Supervisory Behaviors And Their Effects On Paraeducator Retention, Alexis M. Graham

Education Doctoral

Paraeducators are leaving their positions at alarming levels, leaving teachers, students, and schools vulnerable. The exploratory, cross-sectional, correlational survey study examines the relationship between paraeducator perceptions of teacher-supervisor leadership behaviors and retention, as well as the factors contributing to turnover. Full range leadership theory (FRLT) and the Multifactor Leadership Questionnaire (MLQ) are used to describe leadership behaviors. The study used a survey design advertised to a paraeducator Facebook group, which included the MLQ rating scale, a closed-response item on intent to leave, and an open ended question on intent to leave. Data was analyzed using statistical and correlational analyses, as …

Ultraviolet Imaging Of Sr 12 C With Hst/Wfc3: Accretion And Variability Of A Giant Planet At The End Stages Of Growth, Claire O. Finley, Brendan P. Bowler, Ya-Lin Wu, Adam L. Kraus, Yifan Zhou, Yuhiko Aoyama, William Best, Ian Czekala, Catherine C. Espaillat, Katherine B. Follette, Gregory J. Herczeg, Raquel A. Martinez, Connor E. Robinson, Quang H. Tran, K. Ward-Duong

Astronomy: Faculty Publications

Many details of the gas accretion phase during giant planet formation remain untested. We present new 0.2–0.7 μm UV-through-red optical imaging of the young, wide-orbit planetary-mass companion SR 12 c from the Wide Field Camera 3 (WFC3) instrument on board the Hubble Space Telescope. SR 12 c exhibits strong accretion-related continuum excess blueward of∼5000 Å and clear signs of the Balmer jump at 3646 Å. We derive a total accretion luminosity of1.65 ±0.19× 10⁻⁵L_⊙and a mass accretion rate of 8 ±2 × 10⁻¹² M_⊙yr⁻¹. Based on its mass and age,SR12 c …

Adaptive Insole Design To Prevent Foot Ulcers In Diabetic Neuropathy Patients, Ali Ahmed Osman Abuelgasim

Masters Theses and Doctoral Dissertations

This thesis investigates whether an adaptive multilayer insole can sense high plantar pressure and redistribute load through soft robotic pneumatic actuation to prevent diabetic foot ulcers. The prototype includes a cushioning layer, a 16-zone force-sensitive resistor array, a McKibben pneumatic actuator, and a 3D-printed TPU structural base. Experimental procedures included sensor calibration, passive TPU evaluation, actuator displacement testing, localized pneumatic offloading, and closed-loop sensing-and-actuation testing, all under controlled laboratory conditions. Pressure data was converted to kilopascals and evaluated using heat maps, zone-by-zone comparisons, and measures of actuator deformation and percent change. Most sensor zones showed a pressure decrease due to …

Measuring Administrative Hiring Confidence Of Music Teachers In The Context Of Shallow Hiring Pools, Aaron M. Strum

Dissertations

The purpose of this study was to identify and measure the confidence of K-12 administrators in hiring music faculty. This study also aimed to analyze administrators’ perspectives and confidence in key stages of the hiring process, including defining job expectations, posting, advertising, interviewing, and selecting highly specialized music teachers in K-12 settings. Confidence of K-12 administrators can be gauged through their understanding of how well an applicant aligns with the specific needs of the school’s program. Three research questions guided this investigation: (1a) How confident are K-12 administrators in their understanding of music teaching pedagogy when interviewing music teacher candidates …

A Simulation Assessment Of The 'Law Of One Price', Caleb Wilkins

Computational and Data Sciences (MS) Theses

The ‘law of one price’ is an appealing notion regarding pricing of tradeable commodities that are priced in different currencies. It states that the prices of the same good in different markets should be equal after adjustment for exchange rates and that equality should persist through exchange rate fluctuations.

My research simulates the market conditions that should precipitate the ‘law of one price.’ Data was obtained from the simulated trade between algorithmic artificial intelligence agents that operated under induced boundedly rational market behaviors. Trade took place in two initially separate markets, a high-price market with a higher equilibrium price and …

Why They Stay: A Qualitative Study Of Experiences Of Veteran Low-Incidence Self-Contained Special Education Teachers Who Remain In The Profession, Jessie Leyden

Dissertations

Persistent shortages of special education teachers in the United States have intensified the need to understand not only why some educators leave, but why others choose to stay. The purpose of this qualitative case study was to understand the experiences of veteran special education teachers working in low-incidence, self-contained classrooms who choose to remain in the profession. With a particular focus on the factors that contribute to their retention beyond the first three years, the study involved a sample of ten low-incidence, self-contained teachers from a variety of states across the country. Using semi-structured interviews, the study explored how these …

Black Women Science Teachers’ Contextual Knowledge Shapes Technology Integration To Support Culturally Responsive Teaching In Secondary Science Classrooms, Ashley M. Thomas

Dissertations

The number of Black and Brown high school students entering college to study science and technology majors is declining. Because they encounter shared intersectional experiences in the science and technology fields, Black women have a unique connection with their students that builds on teaching practices grounded in culturally responsive teaching (CRT). The mixed methods study was bounded to one school district that had a CRT initiative and provided training to its teachers. The study used a pre-validated survey regarding the perceptions of CRT in a technology-supported learning environment and identified the tools and practices Black female science teachers (BFSTs) use …

Navigating Dual Standards: Secondary Educators Integrating English Language Standards To Achieve English Proficiency, Calleigh Herrell

Electronic Theses and Dissertations

English Learners represent one of the fastest-growing student populations in the United States, creating increased demands on secondary educators to support both language development and academic achievement. As accountability expectations continue to emphasize grade-level proficiency in English Language Arts (ELA), educators serving English Learners must navigate the intersection of English language proficiency standards and content-area instructional requirements. While English Language Proficiency Assessment for the 21st Century (ELPA-21) standards are intended to support language acquisition and access to academic content, educators often face challenges integrating language development goals with grade-level ELA expectations. As such, secondary educators play a critical role in …

Effects Of Disorder On The Magnetic And Electronic Structure Of Kagome Alloy Fe2mnsn., Thayne Dean

Theses

Iron-based magnets with the Kagome lattice are a rich set of materials due to their non-trivial topology combined with high magnetic ordering temperature (Tc). Previously, we identified and synthesized Fe2MnSn as a promising material with high magnetic anisotropy characterized by a high Tc. The desirable magnetic properties of ternary alloys are controlled by atomic-level antisite disorder and are sensitive to stoichiometry as well. To illustrate the role of disorder in Fe2MnSn, we performed DFT calculations using 64-atom supercells, which enabled us to probe changes in the density of states and magnetic moments by design. Our data show that substitution of …

Ai-Ready Libraries Require Ai-Ready Librarians: Building Organisational Capability For Digital Transformation, Salihin Mohammed Ali

Research Collection Library

Academic libraries worldwide are rapidly experimenting with artificial intelligence (AI) to enhance research, learning, discovery, operations, and user engagement. However, many institutions continue to approach AI adoption primarily through isolated pilots, individual experimentation, or technology-centric initiatives. While these efforts generate innovation, they often struggle to scale sustainably without corresponding organisational capability development. This presentation argues that AI-ready libraries require AI-ready librarians and proposes an organisational capability approach for sustainable AI transformation in academic libraries. Drawing from the development of a library-wide AI strategy plans at Singapore Management University, the presentation explores how AI capability-building can be operationalised across diverse functional …

Prediction Of Pasture Condition In The Kimberley Rangelands Of Western Australia Using Simple Classification Tree Models, Ben Nestor, Kath Ryan, Charles Martin, Philip Thomas, Chris Hetherington, Matthew Fletcher, Robert Sudmeyer, Karyn Reeves

Natural Resources Research Articles

Pasture condition assessments assist pastoralists, regulators, and policy makers in making informed decisions around livestock production and the preservation of natural resources in the Kimberley rangelands of Western Australia (WA). Reliable qualitative assessments of pasture condition require assessors with extensive expertise, which means frequent and reproducible assessments can be difficult to achieve. To develop a quantitative approach that can complement existing qualitative assessment approaches in the Kimberley, we investigated the use of simple classification tree models to predict pasture condition using assessment data from the Western Australian Rangeland Monitoring System (WARMS). Quantitative traits were derived from WARMS observation data for …

Id-More Vision: Real-Data Machine-Learning Assessment For A Digital-Twin-Inspired, Xr-Ready Rehabilitation Prototype, Rickey L. Clark

Master's Theses

Rehabilitation assessment often relies on periodic observation, while many XR prototypes show scripted rather than recorded-motion evidence. iD-MORE Vision is an offline pipeline trained on KIMORE and IRDS and linked through JSON packets to a two-mode Unity desktop prototype. Both datasets include controls and rehabilitation participants with neurologic, musculoskeletal, or mobility impairments. This improves relevance but does not clinically validate the system.

Under fixed subject-wise splits, the primary five-seed Random Forest predicted KIMORE clinician scores with MAE 6.087 ± 0.044 cTS and R² 0.568 ± 0.006; the subject-level R² interval crossed zero. The primary IRDS five-run CUDA GRU averaged 0.877 …

Advantages Of Dynamic Representation For Related Rates Problems In Calculus, Eri Osuna

Electronic Theses, Projects, and Dissertations

Related-rates problems are a standard yet persistently difficult topic in first-semester calculus. Research increasingly recommends dynamic visualization tools such as GeoGebra, but direct comparisons of static and dynamic representations in related-rates settings remain scarce. This qualitative study examines how representation type shapes the quality of students' reasoning and their perceived experience during related-rates problem solving. Six mathematics students who had completed Calculus —a group of four undergraduates and a pair of graduate students—completed a static sliding-ladder task and a dynamic airplane-and-camera task supported by an interactive GeoGebra applet, followed by an interview. Findings indicate that the two representations supported reasoning …

Geodesic Completeness And The Hopf-Rinow Theorem, Christopher Farias

Electronic Theses, Projects, and Dissertations

Differential geometry is concerned with the properties of calculus and geometry on curved n-dimensional manifolds. As a result, thinking about such a space often runs counter to the Euclidean geometer's intuition of distances, angles, and transformations. This thesis aims to build up to proving an important result in the study of Riemannian manifolds: the Hopf-Rinow theorem.

In Chapter 2, we begin by defining what a manifold is and showing that the collection of directional derivatives at a point on the manifold spans a tangent vector space. After defining a basis and a metric for this space, in Chapter 3, we …

Effects Of Photosynthetic Mode On Growth In Closely Related Tillandsia Species, Jeremy L. Read

Electronic Theses, Projects, and Dissertations

To examine the effects of photosynthetic mode (C3 vs CAM) on plant productivity, subjects of the sister taxa Tillandsia confertiflora (a C3 species) and Tillandsia latifolia (a CAM species) were grown under controlled conditions via growth chamber over 30 weeks. These subjects were divided into non-stressed and drought stress groups. Subjects were compared for total biomass gained or lost over the time period as well as physiological stress measures and CAM activity. The primary conclusion is that usage of CAM does not show major differences or tradeoffs for overall productivity. Future work is needed to clarify if this holds true …

Developing Solvent Tolerant Microbial Membranes: Lipid Extraction And Laurdan Fluorescence Approaches For Biofuel Optimization, Gladstone Anku

Electronic Theses and Dissertations

The high demand for sustainable energy has increased interest in advanced biofuels, though production is limited by solvent toxicity to microbial hosts. This study investigated the role of lipid composition in modulating membrane fluidity and solvent tolerance using Bacillus subtilis as a model organism. Five strains were cultured, and membrane lipids were extracted and analyzed using thin-layer chromatography and gas chromatography–mass spectrometry; however, inconsistent results limited compositional characterization. To address this problem, reconstituted vesicles composed of phosphatidylglycerol (PG) and phosphatidylethanolamine (PE) were used as model membranes. Membrane fluidity was assessed using Laurdan fluorescence spectroscopy by measuring generalized polarization (GP) values …

A Large And Robust Legless Lizard (Squamata, Anguinae) From The Gray Fossil Site Of Eastern Tennessee, Justice D. Lamer

Electronic Theses and Dissertations

The early Pliocene Gray Fossil Site in Tennessee preserved an abundance of microfossils, including numerous anguid lizard specimens. This includes the following elements: dentaries, a pterygoid fragment, a jugal, frontals, parietal fragments, dorsal and caudal vertebrae, and many osteoderms. Because these specimens had not been placed taxonomically beyond the subfamily level, comparative anatomy of similar elements from extant anguids and some quantitative data were used to provide more refined identifications. Using these methods, it was determined that a new, robust type of Ophisaurus is represented at the Gray Fossil Site. Important novel features include relatively robust dentaries, fewer but broader …

Disruption, Recovery, And Divergence: How Prepandemic Achievement Levels Shaped Learning Loss, Recovery, And Spending Efficiency In Tennessee Public High Schools, Wilson Boyd

Electronic Theses and Dissertations

The COVID-19 pandemic caused significant and uneven learning loss in Tennessee public high schools. The statewide ACT composite average fell from 20.2 in 2019 to 19.1 in 2021. By 2024-2025, it recovered only to 19.3. During the same period, Tennessee received approximately $3.86 billion in additional federal funds and $1.15 billion in new state funding. This ex post facto quantitative study examined whether prepandemic achievement levels predicted learning loss severity and recovery patterns of a census of 322 Tennessee public high schools from 2018-2019 through 2024-2025.

The study used two theoretical frameworks. Baumol's cost disease theory predicted that structural productivity …