Digital Commons Network^™

Federated Learning And Blockchain-Enabled Framework For Secure And Intelligent Healthcare Systems, Jerina Eda

Electronic Theses and Dissertations

Artificial Intelligence is transforming healthcare delivery, particularly in chronic disease management and patient monitoring. However, significant challenges remain in ensuring data privacy, system security, and reliable real-time monitoring while maintaining diagnostic accuracy. This thesis presents a comprehensive investigation into secure, decentralized, and intelligent healthcare systems through three interconnected research contributions addressing these critical challenges.

First, we conduct a comprehensive survey of AI applications across major healthcare domains including Chronic Kidney Disease, Diabetes Mellitus, Cardiovascular Disease, and cancer. Through systematic review of over 150 studies published between 2017 and 2024, we examine how machine learning techniques are applied to diverse medical …

Ai And The Ethos Of Education: Reflections On Human Learning Past And Present, Melanie Trotochaud

Yale Divinity School Theses

This thesis reflects on contemporary issues of “Artificial Intelligence” (AI), while also bringing into conversation 12th century Christian mystic and polymath Hildegard Von Bingen and 18th century Humanist philosopher Giambattista Vico. Hildegard’s and Vico’s contexts philosophically and historically share similarities to our present moment: reassessing our humanity and learning in times of technological, economic, and social shifts. Holding up their writing to various conversations about our contemporary world helps illuminate the present. Key aspects of the discussion include what constitutes tools or technologies, the agency we have in choosing to use or not to use them, and how we make …

Numerical And Harmonic Analysis Of Simplex Number Parity, Hunter Dm Hannula

All NMU Master's Theses

The primary object of this thesis is the study of periodicity in the parity of simplex numbers by number-theoretic and harmonic methods. The regular d-simplex numbers are introduced geometrically, arithmetically, and combinatorially. We demonstrate that all sequences indexing even d-simplex numbers are defined by finitely many congruences in a single modulus, and are thus quasiperiodic. We therefore show that these "even index-sequences" are  particular elements in an affine space of functions, providing a natural decomposition result. We then introduce the discrete Fourier transform to construct the periodic parts of each index sequence, enabling the development of explicit forms for the …

From Admission To Achievement: Evaluating The Predictive Validity Of Entrance Exams And Grade Point Average In Nursing Education, Kristen Fenlason

Education Doctorate Dissertations

At a critical time of nursing shortages, nursing programs must examine admission gatekeeping practices. The two common admission metrics, grade point average (GPA) and entrance exam scores, are inconsistently supported in the literature, particularly within the understudied population of practical nursing students. This quantitative, retrospective, correlational study examined the relationship between admission criteria and three measures of practical nursing student success: on-time first-semester completion, on-time program completion, and first-time NCLEX-PN pass rate. Data were collected from historical records of five cohorts of practical nursing students (n = 94) at a medium-sized community college from Fall 2020 to Fall 2024. …

Investigating The Taxonomic Uncertainties Of Potentilla Rupincola, Natalie Elizabeth Hieber

Master's Theses

Landscape stewardship is an integral role for land managers that becomes more important when rare or endangered species occur within managed areas. Conservation across the landscape is a primary concern for land managers, but resources allocated for conservation can be limited due to many competing goals. Taxonomic uncertainty surrounding rare and endangered taxa, particularly plant taxa, that have historically been classified solely using morphological features further complicates conservation planning. One such taxon is Potentilla rupincola, a rare plant endemic to the eastern Rocky Mountains in Colorado. For over a century, botanists have debated whether P. rupincola is a distinct species …

Evaluating The Rural/Urban Divide In Conservation: Methods Of Improvement In Conservation Programming Across Kentucky, Lauren Tackett

Honors College Theses

Kentucky’s lands and waterways have always defined the state. Our unique karst landscape, combined with the Appalachian Mountains and Ohio River, help characterize the state and its identity. However, across Kentucky conservation efforts within recent years have been under attack. Through legislation changes and policy challenges, various bills have sought to repeal Kentucky’s conservation efforts regarding water, soil, and land use. Furthermore, there has been a rise in environmental disasters within the state that cause long term issues for both rural and urban communities to contend with. The responsibility of land stewardship falls on a variety of entities but weighs …

The Effects Of Impervious Land Cover And Red Tide (Karenia Brevis) On The Florida Manatee (Trichechus Manatus Latirostris) In The Gulf Coast Of Florida, Anna Compton

Honors College Theses

Red tide, caused by the dinoflagellate Karenia brevis, is an algal bloom event that occurs annually in the West Florida Continental Shelf. The algae releases brevetoxin, a toxin that can be fatal to wildlife in high concentrations. These algal bloom events are thought to be exacerbated by warming ocean temperatures and increased nutrient runoff from urbanization. Red tide is responsible for the mass mortality of various marine organisms like the Florida manatee (Trichechus manatus latirostris). This study analyzes the changes in nutrient runoff and sea surface temperatures, and how these factors affected red tide cell concentrations and Florida manatee mortalities …

2026 Workshop On Bridging The Gaps: Tackling Microplastics And Nanoplastics Challenges In Coastal Ecosystems, Shenghua Wu, Kaushik Venkiteshwaran, Melike Dizbay-Onat, Alexandra Stenson, Jinhui Wang, Tina Miller-Way, Ebenezer Nyadjro, Bhuvnesh Bharti, John Weinstein, Yi Bao, Shihui Shen, Valerie Longa, Shenghua Zha, John Cleary, Marty Lind

Workshops

This report presents the findings from the 2026 Workshop on Tackling Microplastics and Nanoplastics (MNPs) in Coastal Ecosystems, which took place in Mobile, Alabama. More than 140 experts from universities, government, industry, and community organizations gathered to address the increasing issue of MNPs in coastal regions.

Reframing Health: A Phenomenological Inquiry Into The Lived Experiences Of Weight- Inclusive Healthcare Providers, Hannah Brass

Dissertations

The purpose of this phenomenological study was to understand the unique lived experiences of healthcare professionals who practiced from a weight-inclusive lens. This study was guided by the following research questions:

Q1 What is the unique lived experience of a healthcare provider practicing from a weight-inclusive lens?

Q2 What are the significant experiences that have influenced the development of weight-inclusive providers’ attitudes (i.e., thoughts, feelings, and behaviors)?

Data from these findings were analyzed using Giorgi’s (2009) descriptive phenomenological method to discover rich descriptions and themes of weight-inclusive healthcare practitioners' experiences. The study explored the significant experiences and supports that influenced …

Feedback Without Content Expertise: Exploring Teacher Perception Of Effective Feedback In Teacher Evaluations With Content Mismatch, Anna Keathley Bergeron

Dissertations

A key element of teacher evaluation systems is to support professional growth by providing teachers with feedback on their instructional practices and identifying opportunities for improvement. Despite this intent, research consistently indicates that teachers often perceive evaluation feedback as vague, generic, or disconnected from their instructional context. These concerns are particularly evident at the secondary level, where evaluators frequently assess teachers outside their area of content expertise. As a result, recent research suggests that a lack of content knowledge may serve as a barrier to providing meaningful feedback.

The purpose of this qualitative instrumental case study was to examine how …

Barriers To Climate Change And Sustainability Action: Nursing Education And Practice, Dawn Marie Smith

Dissertations

Climate change is one of the most pressing public health emergencies of our time and nurses can have a great impact in their current practice and in the education of future nurses (The Alliance of Nurses for Healthy Environments, n.d.; American Nurses Association, 2023; Health Care without Harm, 2025). Deaths due to rising temperatures, vector-borne illness, and food insecurity related to drought and extreme weather are on the rise (WHO, 2024). It has been estimated that globally over 250,000 additional deaths will be attributed to climate related effects between 2030 and 2050 (Watts et al., 2020; WHO, 2023).

A primary …

Digital Grief Technology To Support Bereavement: A Systematic Review Of Potential Benefits And Risks, Xun Ci Soh, Adalia Yin Hui Goh, Paye Shin Koh, Andree Hartanto

Research Collection School of Social Sciences

Grief is a universal and inevitable experience. However, the way we support the bereaved is changing, especially in the digital era. This systematic review examines the potential benefits and risks associated with various digital grief technologies, including online grief support groups, generative AI chatbots, online memorials, online therapy interventions, virtual reality, and digitally reproduced visuals or audio of the deceased. A systematic search was conducted in seven databases, and 30 articles were included in the final review. Findings indicate that digital grief technologies offer several benefits, such as reductions in grief and depressive symptoms, enhanced social support, greater accessibility, and …

Understanding Critical Thinking In Generative Artificial Intelligence Use: Development, Validation, And Correlates Of The Critical Thinking In Ai Use Scale, Gabriel R. Lau, Wei Yan Low, Louis Tay, Ysabel Thereze Ang Guevarra, Dragon Gašević, Andree Hartanto

Research Collection School of Social Sciences

Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI outputs rather than accept them at face value. The present research conceptualises critical thinking in AI use as a dispositional tendency to verify the source and content of AI-generated information, to understand how models work and where they fail, and to reflect on the broader implications of relying on AI. Across six studies ( N = 1341), we developed and validated the 13-item critical thinking in AI use scale and mapped its nomological network. …

Uncertainty In Neural Networks: An Interval Approach, Yahriel Isaac Guel

Open Access Theses & Dissertations

Neural networks produce predictions but not reliable measures of how much to trust them. A clinician handed an output such as "97% chance malignant" has no way to tell whether that 97% reflects the model's actual reliability on inputs like this one, or whether the same number would have appeared on an image the model has no business classifying. The standard approaches to uncertainty quantification - Bayesian neural networks, deep ensembles, and Monte Carlo dropout - are useful. However, sometimes the uncertainty we need to handle only comes as lower and upper bounds. This raises a natural question: what if …

Active And Passive Seismic Studies Across Glacial And Geothermal Environments, Lucia Fernanda Gonzalez

Open Access Theses & Dissertations

The collection of passive and active-source seismic data remains central to the detailed investigation and understanding of complex Earth processes across diverse and often inaccessible environments. Of equal importance is the selection of methodologies that must be tailored to the geological setting and dataset resolution to accurately depict the subsurface. In this dissertation, we apply a range of classic and/or "newly" developed algorithms, unique to each chapter, on seismic datasets from distinct glaciological and geothermal settings to evaluate their performance and enhance subsurface interpretation. In Chapter 1, we analyze active-source seismic data from Lemon Creek Glacier in Juneau, Alaska, using …

Robust Logistic Regression With Elastic Net For Contaminated High-Dimensional Data, Chitra Bahadur Karki

Open Access Theses & Dissertations

High-dimensional logistic regression is particularly vulnerable to outliers, which can distort estimation, weaken variable selection, and harm prediction accuracy. This dissertation introduces RobENetLog, a robust elastic net logistic regression method that jointly selects informative variables and reliable observations by extending ideas from least trimmed squares regression to the classification setting. The proposed approach combines adaptive outlier detection with trimmed penalized estimation so that it can address contamination in both predictors and responses across a wide range of dimensional settings. Simulation studies show that RobENetLog consistently improves predictive performance and robustness in the presence of outliers, while remaining competitive with standard …

Mississippi Early Childhood Math Resource Guide: Supporting Mathematical Development From Birth Through Age Eight, Melissa Luckett, Systems Change Lab, Mississippi State University, Social Science Research Center, Mississippi State University

Books

The Mississippi Early Childhood Math Resource Guide is a comprehensive, research-informed digital publication designed to support the development of foundational mathematical skills in children from birth through age eight. Developed by the Systems Change Lab at Mississippi State University's Social Science Research Center, the guide translates evidence-based early mathematics concepts into practical, accessible strategies for educators, families, and caregivers. 

Organized by developmental stages, the guide integrates learning domains, age-appropriate math skills, and everyday instructional practices to promote the use of "math talk" and embedded learning opportunities across settings. It incorporates activities, instructional strategies, and resources aligned to support both formal …

Can Methanogens Grow On Asteroids?, Isabella N. Reimer

Biological Sciences Undergraduate Honors Theses

Because of asteroids’ chemical features, they may serve as potential environments for life and are of interest in astrobiology. Dr. Kral’s laboratory studies methanogens, microorganisms in the domain Archaea, as possible life forms on extraterrestrial bodies. Since some methanogens can withstand harsh environmental conditions and produce methane as a waste product, methane production can be used as an indicator of potential microbial activity.  In this study, three methanogen species, Methanothermobacter wolfeii, Methanobacterium formicicum, and Methanosarcina barkeri were tested for growth on asteroid simulants based on the Orgueil (CIE-1) and Murchison (CME-1) meteorites. First, methanogen growth was assessed in the …

Teaching Machines To Deter: Exploring Strategic Deterrence In Ai Models, Will Taylor

Theses/Capstones/Creative Projects

This capstone project investigates whether deterrence can emerge as a meaningful strategy within a zero-sum stochastic game using multi-agent reinforcement learning (MARL). After outlining core concepts in game theory and deterrence, the study models a simplified deterrence environment in which two minimax-Q agents repeatedly interact under uncertainty and adversarial incentives. The agents learn from rewards shaped by escalation costs, unilateral vulnerability, and the stabilizing benefits of restraint. Results show that both agents consistently converge toward a conservative, status-quo strategy, overwhelmingly selecting the Maintain action while avoiding both escalation and restraint in most scenarios. This behavior reflects the risk-averse logic of …

Examining Educational Legislation In Indiana, Jason Cary

All-Inclusive List of Electronic Theses and Dissertations

The purpose of this qualitative study was to explore the world of educational legislation and how it is crafted, molded, and signed into law in the state of Indiana. The study examined the key legislative players, the machinations of the Statehouse, the educational organizations and their lobbyists, the national landscape, and other factors at play. To find the answers to the research questions in this study, the researcher interviewed multiple Indiana legislators. An effort was made to sit down with elected officials from both chambers who serve on the educational committees. According to the research, state and federal legislatures are …

Application Of The Mattering Model By Generation In The Context Of Teacher Retention In Indiana K-12 Schools, Byron C. Sanders Ii

All-Inclusive List of Electronic Theses and Dissertations

When teachers see their actions as significant and recognize they would be missed if they were gone, they realize the significance of their individual impact (Wilfong & Donlan, 2024). Understanding what matters to teachers is an important factor in the process of teacher retention. This study examined the difference in four generations of Indiana K-12 teachers against the eight elements of mattering identified by Dr. Shelly Wilfong (2021). A survey instrument utilized the Foundational Elements of Mattering Survey for K-12 Teachers (Wilfong & Donlan, 2024) and the Rotter Internal-External Locus of Control Scale survey (1966a), and it was taken by …

The Environment, Health, And Vector Nexus: Evaluating The Spatiotemporal Variability And Societal Impact Of Ticks In Arkansas, Dalton Williams

Graduate Theses and Dissertations

Tick-borne diseases (TBDs) are a surging public health and veterinary concern in the United States. In states like Arkansas, climate change and shifting land use have recalibrated the ecological niches of vector species. This research utilizes species distribution and ecological niche modeling to assess the spatiotemporal suitability of ixodid tick habitats, specifically where environmental and socioeconomic factors intersect. By integrating spatial science with public health frameworks, this study identifies priority intervention areas in underserved rural regions where healthcare resources are often constrained. This study provides a comprehensive methodological framework, leveraging remote sensing datasets and historic disease data to delineate exposure …

Dinah Whipple: The Black Community’S Fight For Access To Fair And Equal Education, Isabelle C. Fortier

LSU New Orleans Theses and Dissertations

This thesis illuminates the story of Dinah Whipple, a former enslaved and literate woman of color living in Portsmouth, New Hampshire during the early 1800s. Dinah opened the Ladies Charitable African School, the first school for Black children in New Hampshire, and as an educator she was a community leader and championed social issues facing her community. This thesis will use the Ladies Charitable African School and Dinah Whipple’s work in New England to show the lengths local communities went to, to establish accessible schools. The major academic discussions surrounding education in the 18th-century to 19th-century revolve around earlier Black …

Persistence In The Pressure Cooker: A Mixed-Methods Case Study Of Teacher Working Conditions In High Turnover School Districts, John E. Byrnes

LSU New Orleans Theses and Dissertations

American schools face teacher shortages in many disciplines and age groups (Darling-Hammond et al., 2023; Learning Policy Institute, 2024). Rural and urban schools, especially those serving low-socioeconomic-status students, feel this shortage most (Goldhaber et al., 2021; Ingersoll et al., 2022). Teachers report rising dissatisfaction with their work (Lin et al., 2024). This study examined teacher working conditions in two high-turnover districts: Orleans and Jefferson Parish Schools. It used an explanatory sequential mixed-methods case study to assess working conditions (Creswell & Plano Clark, 2011; Stake, 1995; Yin, 2009). District and federal data showed limited resources in Jefferson Parish. Orleans Parish had …

Improving Online Political Discussion With Automated Bot Intervention, Bethanie E. Hackett

Departmental Honors & Graduate Capstone Projects

The quality of political discussions occurring on online platforms or social media sites has been deemed quite poor. To address this issue, I investigated whether a Large Language Model (LLM) can be used to promote civil and productive political discussions by identifying and responding to unproductive dialogue. I fine-tuned an existing LLM to detect elements of problematic dialogue, namely misinformation, misrepresentation of sources, logical fallacies, bias, and toxic language, and then respond in a corrective yet non-confrontational manner. The resulting model is referred to as FroBot and was evaluated through an experiment in which a human participant was placed in …

Cross-Facility Reliable Deep Learning Based Beef Marbling Assessment Via Unsupervised Domain Adaptation Regression, Samuel Vinson

Biological and Agricultural Engineering Undergraduate Honors Theses

Inconsistent quality grading in beef production leads to inefficiencies, economic disparity, and consumer mistrust. While USDA meat grading traditionally relies on skilled visual inspectors, these human evaluations suffer from cross-facility variability and subjectivity. This paper introduces the first known application of unsupervised domain adaptation regression for cross-facility beef marbling score prediction—an innovation that improves generalization across diverse environments in the beef supply chain. Utilizing numerical scores ranging from 100-900, the research employed convolutional neural networks (CNNs), including ResNet, VGG, and AlexNet architectures. The study specifically introduced and validated a unified unsupervised domain adaptation regression method using the ResNet-50 architecture to …

A Systems Approach To Nitrogen Fertilizer Management: Modeling Emissions And Runoff Pathways In Arkansas Agriculture, Avonelle Lindon

Biological and Agricultural Engineering Undergraduate Honors Theses

Nitrogen fertilizer management is a critical challenge in modern agriculture. This thesis develops a system dynamics model of nitrogen in Arkansas rice and corn systems to explore barriers to translating agricultural research into practical farmer guidance.  The modeling process revealed key challenges: (1) scarcity of Arkansas-specific factors and best management practice (BMP) effectiveness data; (2) tension between model comprehensiveness and accessibility; (3) misalignments in conservation incentive structures; and (4) difficulty in validating models without field measurements. The resulting model demonstrates basic nitrogen cycle processes and BMP integration, but validation against published literature revealed significant issues with predictive accuracy. These findings …

Understanding Grain Market Behavior: A Distributional Analysis Of Soybean And Corn Futures During Political And Global Disruptions, Caroline Brickey

Agricultural Economics and Agribusiness Undergraduate Honors Theses

This thesis analyzes soybean and corn futures over six years to evaluate how major global events influence volatility, price movement, and trader positioning. Using quantitative market data, the study identifies patterns of market sensitivity and event driven shocks, showing how uncertainty shapes commodity futures behavior and short term price dynamics during political and global disruptions.

Considerations When Designing In Vivo Protocols For Conducting Biomechanical Research Of The Shoulder Joint In Hockey Athletes, Kylie Giesler

Honors Program Theses

While the numbers and details of hockey-related injuries are variable across sources due to variations in sample age, sex, location, and confidentiality of many large hockey leagues, a 2023 narrative review study identified more than 100,000 upper extremity injuries documented in research since 2000. Nearly half of those injuries were to the shoulder with common injuries being acromioclavicular joint sprains, shoulder instability and dislocations, labral and rotator cuff tears, and clavicle fractures. In respect to the National Hockey League (NHL), the highest level of play in ice hockey, 12% of all injuries are to the shoulder, second only to head …

The Influence Of Composition On Porosity And Strength In Planetary Analog Saline Ices, Tara C. Tomlinson

Dartmouth College Ph.D Dissertations

This thesis investigates how composition influences the physical structure and mechanical behavior of saline ice, with implications for both terrestrial sea ice and the ice shells of ocean worlds such as Europa and Enceladus. This is done through a multi-pronged approach of both numerical modeling and laboratory experiments. Modeling results re- veal that small-scale parameter variations in porosity, permeability, and permeability fac- tor may produce large discrepancies when extrapolated to planetary scales, underscoring the need for improved experimental constraints on pore connectivity and thermochemical conditions. Laboratory analyses show that while total porosity is relatively uniform with depth, it varies strongly …