Digital Commons Network^™

Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …

The Impact Of Using History On Learning In Physics Laboratory Settings, Patrick W. Clouse

Dissertations

Integrating History of Science (HOS) into science courses has many benefits. Students demonstrate improved scientific content knowledge, develop their understanding of Nature of Science (NOS), and improve their attitudes towards science. However, barriers prevent instructors from effectively incorporating history into their teaching. The traditions and culture of science instruction, individual teacher attitudes and skills, existing institutional frameworks, and prevailing curricular materials all prevent HOS integration. Preservice teachers may never be exposed to HOS in their science or education courses, meaning they lack experience and knowledge surrounding the benefits of HOS. Therefore, alternative avenues for effective integration should be considered to …

Community Detection In Bipartite Networks Using Bipartite Stochastic Block Models With Node-Level Covariates, Geraldine Elaine Percival

Dissertations

In this age, monumental webs of data demands for perpetual cultivation of ways to untangle these webs of information. One of the many curiosities is how to systematically group entities. When clustering, one avenue to take is ascertaining the interconnectedness between the data points, and gauging their influence to each other. This perspective is programmed to model the relationships between the data presented as a network. Many of the methods being used today are algorithm-based, which may pose limitations in understanding and explaining the uncertainty revolving around the data. Hence, it is proposed to steer towards a model-based approach that …

Meiji: Developing A Reinforcement Learning Agent And Environment For Colonial Diplomacy, Alexander Aldama-Apodaca

Theses & ETDs

This thesis presents the development of MEIJI, an artificial intelligence (AI) agent that applies temporal difference (TD) learning to play Colonial Diplomacy within a custom reinforcement learning (RL) environment. While reinforcement learning has previously been applied to the board game Diplomacy, no reinforcement learning environment has been developed for the Colonial Diplomacy variant. To address this gap, this thesis implements a complete RL environment that models the rules and mechanics of Colonial Diplomacy and enables TD agents to learn through self-play. The project lays the groundwork for an investigation of whether the trained MEIJI agents learn to recognize the strategic …

Effective Science Instruction For Elementary Aged Students With Significant Cognitive And Adaptive Delays, Rabecca L. Juarez

All Graduate Reports and Creative Projects, Fall 2023 to Present

In Utah, students begin participating in statewide end-of-year assessments in third grade, with science added in fourth grade. Students with the most significant cognitive and adaptive disabilities participate in the Dynamic Learning Maps® (DLM®) alternate assessment, which measures student performance in English language arts, mathematics, and science aligned to Essential Elements (EE). Despite participation in statewide accountability systems, students with significant cognitive disabilities in a Southwest Utah School District have consistently demonstrated low science performance on the DLM assessment.

The aim of this project was to collaboratively create science lessons for students who participate in the alternate assessment. This project …

Music And Middle School Mathematics, Cheryl L. Hawkins

All Graduate Reports and Creative Projects, Fall 2023 to Present

The purpose of this project was to see if music playing in the background while learning essential mathematics skills would make a difference in the learning process of middle school students. For nine weeks I collected data on the scores of the special education students relearning skills they had been previously taught in a general education mathematics class. The students took a baseline assessment, then had 30-40 minutes of instruction spread across two days. They then took another assessment to see what the change was. During the lessons and assessments there was one of three conditions happening, one was silence, …

History In The Social Studies Classroom: Developing Historical Literacy And Skills Through Inquiry Lessons, Nancy J. Thatcher

All Graduate Reports and Creative Projects, Fall 2023 to Present

This Plan B project has created a series of inquiry-based lesson plans and activities for World History classrooms that emphasize historical literacy and disciplinary thinking. Rather than producing a traditional research thesis, this project emphasizes applied historical scholarship by translating historical and professional methodology into three classroom ready instructional lesson plans that are aligned with the Utah Core Standards for Social Studies. The project reflects the History MA’s emphasis on disciplinary rigor while addressing the practical needs of public history and education with pedagogical best practices. This project responds to ongoing challenges in World History education, including constrained instructional time, …

Improving Tensorsketch Using Complex Random Variables, Amit Sharma, Mohammad Azhar Khan, Rameshwar Pratap, Keegan Kang

Faculty Conference Papers and Presentations

TensorSketch by Pham and Pagh [2013], Kar and Karnick [2012] provides efficient sketching algorithms for highdimensional polynomial kernels $\vec{x}^{\otimes p} \in \R^{d^p}$. Kar and Karnick [2012] uses dense Johnson-Lindenstrauss (JL)-type projections with computational cost $O(pDd)$, whereas Pham and Pagh [2013] extends the sparse CountSketch [Charikar et al., 2024] algorithm, yielding a faster algorithm for high-dimensional sparse inputs with running time $O\left(p(\nnz{\vec{x}} + D \log D)\right)$. However, the variance of both estimators grows exponentially with the polynomial degree $p$, scaling as $3^{p}/D$, where $D$ denotes the sketch dimension. Recent work by Wacker et al. [2023] showed that using complex-valued distribution reduces …

Dbssnet: Dual-Branch Spectral-Spatial Network With Data-Driven And Knowledge-Guided Band Selection For Uav Hyperspectral Wheat Rust Detection, Subin Kim

All Graduate Theses and Dissertations, Fall 2023 to Present

Wheat rust is a serious plant disease that can reduce crop yield and quality. In practice, the disease is often noticed only after visible symptoms appear, when some damage may already be difficult to reverse. This thesis studies whether drone-based imaging can help detect wheat rust earlier and more reliably in field environments. 

Unlike an ordinary color photograph, a hyperspectral image records reflected light at many narrow wavelengths. These measurements can reveal useful information about plant condition, but they are also high dimensional, noisy, and difficult to analyze when only a limited number of labeled field samples are available. To …

Mining Time Series Shapelets And Association Rules For Solar Flare Prediction, Drew Watson

All Graduate Theses and Dissertations, Fall 2023 to Present

Solar flares are the largest explosions in the solar system; they are caused by changes in the Sun’s magnetic field. Strong solar flares can disrupt power systems, damage satellites, and interfere with radio communication, so improving flare prediction is important. This thesis develops a way to predict severe solar flares while also helping researchers understand why those predictions are made. The approach looks for short patterns in solar magnetic field data that are linked to future flare activity. It then studies how these patterns appear together and in what order they happen over time. By doing this, the research not …

2026 Summer Commencement Program, The University Of West Alabama

Commencement Programs

No abstract provided.

Assessing The Health Impacts Of Pm2.5 And Ozone Exposure: A Study Of Hospitalizations In El Paso, Alexia Breanna Reyes

Open Access Theses & Dissertations

Air pollution has been widely associated with adverse cardiovascular health outcomes; however, most research in arid regions has focused on high-intensity dust events rather than routine, non-dust conditions. This study aimed to evaluate the association between non-dust air pollution and cardiovascular hospitalizations in El Paso County, Texas. A time series analysis was conducted using hospitalization data from 2010 to 2014. Daily counts on non-dust event days of cardiovascular hospitalizations, including hypertensive diseases, ischemic heart disease, cerebrovascular disease, and diseases of pulmonary circulation, were examined in relation to ambient concentrations of fine particulate matter (PM2.5) and ozone. Quasi-Poisson regression models with …

Sentinel: Evaluating Occlusion-Centered Next-Best-View Selection Using Rgb-Derived Pseudo-Geometry, Paul Nassar

Master's Theses

Three-dimensional cameras provide direct geometric measurements, but their cost, weight, power requirements, and calibration constraints can limit their use in various lightweight or large-scale sensing systems. A potential alternative is to use conventional two-dimensional RGB cameras together with geometric reconstruction models that infer a partial three-dimensional representation from images. This thesis evaluates that possibility for next-best-view (NBV) selection through Sentinel, an occlusion-centered system for static, object-centric scenes with known camera poses and intrinsics. Sentinel converts source RGB observations into pseudo-geometry using monocular depth or point-map predictions, combines those predictions with camera-ray evidence, identifies occluded unknown regions, and selects a candidate …

A Maintainable Extensible And Performant Compiler Toolchain For The Trustguard Architecture, Ethan N. Emery

Master's Theses

TrustGuard is a hardware architecture implementing a CAVO (Containment Architecture with Verified Output) model, which provides security guarantees by bootstrapping trust of a system to a hardware component known as the Sentry. Rather than verifying an entire system, TrustGuard re-executes trusted computation on the Sentry and validates the host system's execution before allowing values to pass to the outside world, thereby containing the effects of erroneous computation. Implementing this architecture in practice without hardware modifications to a host CPU requires a compiler toolchain capable of automatically generating instrumented binaries for both the untrusted host and the trusted Sentry from C …

Asm And A Culture Of Sharing, Caring, And Fun In Education, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

One doesn't always equate a professional scientific society with sharing, caring, and fun, but in this age of public distrust, public engagement with science and active student learning are ways to regain trust. ASM holds a leadership position in promoting and recognizing the value of education in the future of our profession and is there to support your educational journey. From K12 outreach and public engagement, to professional development, to presenting and publishing scholarship of teaching and learning, ASM has been at the forefront of biology education. Under the leadership of visionary directors such as Amy Chang and now Irene …

Laplace Factor Models In High-Dimensional Data, Siqi Liu, Xuerong Meggie Wen, Akim Adekpedjou, Guangbao Guo

Mathematics and Statistics Faculty Research & Creative Works

Laplace factor models (LFMs) provide a heavy-tailed alternative to Gaussian factor models by representing high-dimensional observations through a low-rank common component and Laplace-distributed idiosyncratic errors. This paper develops an assumption-consistent finite-sample analysis of matrix concentration, covariance estimation, and Monte Carlo integration under this model. We first formulate the model with explicit dimensional, independence, covariance, and identifiability conditions. Standard matrix Laplace-transform and matrix Bernstein inequalities are then recalled with their precise applicability conditions. Because untruncated Laplace variables are neither almost surely bounded nor strongly log-concave, these standard results cannot be applied directly in the forms commonly used for bounded or Gaussian-like …

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, …

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 …

Mono Gold: An Informal Account Of The Geology, Production, And History Of Mono County Gold And Silver Mining Districts, D. D. Trent

Eastern Sierra History Journal

Mono Gold explores the mining production, technology, and history of the Eastern Sierra, with a special focus on Mono County. Author Dee Trent, a geologist, spent decades visiting, researching, and photographing each of the mining operations discussed in this book-length monograph.

Confronting Founding Injustices: Reconstructive Constitutional Adjudication And Constitutional Legitimacy In Postcolonial States, Mutasim Abuzeid

International Studies (MA) Theses

Why do some postcolonial constitutions achieve higher constitutional legitimacy than others? Across the Global South, constitutions have proliferated while legitimacy remains uneven and contested. Existing scholarship explains variation in constitutional legitimacy in postcolonial states through three dominant paradigms. Institutionalist theories equate legitimacy with procedural design and endurance, presuming that stable institutions generate compliance and, over time, diffuse support. Transformative constitutionalism locates legitimacy in social justice, emphasizing judicial doctrines such as proportionality and reasonableness to advance equality and material inclusion. Transitional justice approaches, by contrast, locate moral repair largely outside constitutional law—through truth commissions, reparations, and memory projects—often leaving the constitutional …

Predictors Of Pre-Service Teachers’ Strength-Based Teaching Practices With Els (English Learners), Stephany M. Panza

Electronic Theses and Dissertations

The increasing number of English learners (ELs) in U.S. school classrooms highlights the importance of utilizing pedagogical approaches that build upon their preexisting cultural and linguistic strengths. Strength-based teaching practices, grounded in positive psychology represent a systems-levels approach to promoting positive academic and socio-emotional outcomes for ELs. In this study, a sample of 21 pre-service teachers attending Northeastern teacher preparation programs completed a series of surveys identifying their EL teaching experience, EL coursework, multicultural attitudes, and intercultural self-efficacy. These predictors were examined to determine their cumulative impact and unique contributions to an adapted Strength-Based Practices Inventory (SBPI), which captured pre-service …

Evaluating Fish Assemblages At An Early-Stage Living Shoreline Project In Lake Pontchartrain, Collin Glaser

LSU New Orleans Theses and Dissertations

Living shorelines are an increasingly popular restoration approach for reducing erosion while improving habitat quality. The Bucktown Living Shoreline Project is a large-scale restoration effort along the southern shore of Lake Pontchartrain aimed at enhancing coastal resilience and restoring historic marsh habitat. This thesis evaluated early fish assemblage response to the Bucktown Living Shoreline Project over one year and placed those assemblages within the broader historical context of Lake Pontchartrain. Monthly sampling was conducted at the living shoreline and an adjacent riprap control site using seines, cast nets, and minnow traps. Fish assemblage structure was not significantly different between sites. …

Continuous Authentication For Industrial System Access: Evaluating Bluetooth Low Energy Direction Finding And Channel Sounding For Tailgating And Relay Attacks, Mitchell Mennelle

LSU New Orleans Theses and Dissertations

In physical access control, authentication is often viewed as a one-time event, where, once an authorized user crosses a protected boundary, downstream systems assume the user remains physically present. Tailgating and relay attacks violate this assumption. In this thesis we propose a continuous authentication layer based on two Bluetooth Low Energy spatial signals. Angle of Arrival direction finding follows the trail of a worn credential to determine when an operator exits a work zone. Bluetooth Channel Sounding measures a physical property of the radio path and verifies distance during stationary periods. Limiting Relay Attacks with Event-Driven Distance Verification. A stream …

Dietary Patterns And Cognitive Decline In Older Adults: Findings From The Western Australia Memory Study, Carolina Blagojevic Castro, Samantha L. Gardener, Farzana Jahan, Juliana Chen, Belinda M. Brown, Ruey L. Loo, Kevin Taddei, Stephanie R. Rainey-Smith, Michael Weinborn, Ana Caroline R.Dos Reis, Manohar L. Garg, Ralph N. Martins, Hamid R. Sohrabi

Research outputs 2022 to 2026

Background: Preventive strategies, including adherence to specific dietary patterns, have received increasing attention as approaches to reduce cognitive decline and dementia risk. However, findings remain inconsistent, partly due to differences in dietary assessment methods, cognitive outcomes, and THE consideration of genetic susceptibility factors such as apolipoprotein E (APOE) genotype.

Methods: This study examined associations between dietary patterns and longitudinal cognitive change in 185 older adults without dementia from the Western Australia Memory Study. Participants completed a food frequency questionnaire at baseline and underwent comprehensive neuropsychological assessments at baseline and up to five follow-up visits at 18-month intervals. Composite scores were …

Leveraging Artificial Intelligence To Enhance Marine Biosecurity, Marnie L. Campbell, Chi T.U. Le, Jumana Abu-Khalaf, Craig D.H. Sherman

Research outputs 2022 to 2026

Marine biosecurity stands at the crossroads of innovation and necessity, with artificial intelligence (AI) offering promising tools to enhance risk assessment, surveillance, and response strategies for invasive species management. Despite the rapid growth of AI applications in marine science, there has been no comprehensive overview of its potential role in enhancing and supporting marine biosecurity. Our literature review aims to fill this gap, showing that AI use in this field remains limited and underdeveloped. Through our literature analysis, we identify key opportunities for AI research and innovation across the marine biosecurity continuum, while also highlighting both general and domain-specific challenges. …

Promotion Architecture: A Deal Fairness Model Of Restricted Price Promotions, Shangwen Yi, David Hardisty, Dale Griffin, Thomas Allard

Research Collection Lee Kong Chian School Of Business

This research examines the effectiveness of two common types of restricted price promotions: threshold promotions (conditional on spending more than a threshold amount; e.g., “Get $5 off on orders of $10 or more”) and capped promotions (limited to a maximum dollar value; e.g., “Get 50% off, up to $5 per order”). Results from seven pre-registered studies, including one field study, show that threshold promotions lead to higher purchase intentions and conversion rates (but potentially lower purchase amounts) than comparable capped promotions—even though capped promotions are equivalent in maximal economic savings for the consumer—when the trigger value (the spending amount at …

From Passive To Active Learning: How Building Thinking Classrooms (Btc) Strategies Shape Teacher Perceptions Of Student Social-Emotional Development, Diane Maria Leja

Doctor of Education (Ed.D.)

This qualitative Improvement Science Dissertation in Practice examined how Building Thinking Classrooms for Social-Emotional Learning (BTC-SEL), an instructional approach adapted from Liljedahl's (2021) mathematics framework, could strengthen SEL instruction in Connecticut elementary schools. The study addressed a persistent problem of practice in which traditional SEL delivery fails to engage the students most in need of support, particularly Black and Hispanic/Latino students, students with disabilities, and students from economically disadvantaged backgrounds. Grounded in engagement theory, cognitive load theory, and social constructivism, the three-month intervention supported six elementary teachers across three Connecticut districts, including schools from District Reference Groups I and D …