Digital Commons Network^™

Improving The Quality Of Physics Practice, Wyatt W. Thompson

All Graduate Theses, Dissertations, and Other Capstone Projects

This case study started with personal observations and experiences. As a lab teaching assistant, I observed on many occasions that students do not like their current homework platforms, often venting to me about their frustrations during lab time. As a student, I shared similar sentiments with them. To develop a possible solution to these observations, a theory of reasoning was chosen as the foundation. The heuristic-analytic theory of reasoning (HATR) suggests that people present an epistemic model (beliefs and ideas about a phenomenon) through a heuristic process (generation from memory) and engage in an analytic process to validate the epistemic …

2026-2027 Undergraduate Catalog, Morehead State University. Registrar's Office.

Morehead State Catalog Archive

2026-2027 undergraduate catalog for Morehead State University.

An Analysis Of Slms For Machine Translation Of Healthcare Documents, Wyatt Clausen

All Graduate Theses, Dissertations, and Other Capstone Projects

The language barrier creates significant healthcare challenges for patients who struggle with English. While large language models (LLMs) have advanced machine translation, their high computational costs, environmental impact, and risk of data breaches have raised concerns. Small language models (SLMs) can address these concerns and be further adapted to specific tasks through parameter-efficient fine-tuning (PEFT) methods, including Quantized Low-Rank Adaptation (QLoRA). This study compares the Spanish-to-English translation quality of two 7-billion-parameter SLMs, Mistral and Llama 2 7B, in the medical domain, using BLEU, chrF, and COMET as evaluation metrics. It further investigates whether QLoRA fine-tuning and Retrieval-Augmented Generation (RAG) on …

A Comparative Analysis Of The Ecophysiology Between The Invasive Macroalgae Starry Stonewort And The Native Macroalgae Chara To Predict Invasion Potential, Thomas J. Zellmer

All Graduate Theses, Dissertations, and Other Capstone Projects

Starry stonewort (Nitellopsis obtusa) is an invasive macroalga from Eurasia. Currently, starry stonewort’s invasive range consists of the upper Midwest and Great Lakes region, including the Mississippi River. Starry stonewort poses recreational and ecological problems by forming dense canopies that extend through the water column. Starry stonewort occupies a late-season niche space with dense biomass occurring in late July and persisting well into autumn. There is a lack of information on the ecophysiology of starry stonewort. In this study, two populations of starry stonewort, Minnesota and New York, were analyzed to compare regional differences in ecophysiology, along with chara (native …

Exploring In-Service Teachers' Perceptions Of Video Game Use In Classroom Instruction: A Qualitative Study, Yvette A. Talley

Selected Full Text Dissertations, 2011-

This dissertation explores in-service teachers' perceptions of using video games as educational tools, focusing on the benefits, challenges, and practical considerations of game-based learning in classrooms. Employing a qualitative research design, the study seeks to capture the nuanced, subjective experiences and tacit knowledge of teachers, providing a comprehensive understanding of how video games can be effectively integrated into teaching practices. Data were gathered through interviews and analyzed thematically to uncover key themes and insights. The findings reveal a spectrum of viewpoints, highlighting both the potential of video games to enhance student engagement and learning outcomes, and concerns related to classroom …

The Breaking Point: Examining Teacher Burnout And Methods To Build Resilience In A Time Of Unprecedented Challenges, Maribel Rudecindo-Mendez

Selected Full Text Dissertations, 2011-

The purpose of this qualitative phenomenological study was to gain insight into the experiences of K–12 teachers in the Hudson Valley region of New York as it relates to teacher burnout. The Job Demands-Resources model was used as a framework to understand organizational causes of burnout, how burnout impacts instruction and relationships with students, and how teachers cope with stress. Twenty full-time teachers who were involved with K–12 students in various instructional capacities were interviewed in a semi-structured format. Thematic analysis revealed that the main contributors to burnout were instability in the system, being overburdened with work, and issues related …

Integration Of Ders Volt-Var Dynamic Constraint Into Time-Coupled Optimal Power Flow For System Stability, Shadrack T. Asiedu

Electronic Theses and Dissertations

The transition toward power systems with higher levels of inverter-based generation requires operating models that account for the dynamic support available from distribution-connected resources. Although inverter-based DERs can provide fast reactive-power support through functions such as Volt–VAR control, conventional optimal power flow models generally represent these resources as static power injections. In addition, transmission-level dispatch commonly represents the downstream distribution system as an aggregated load and does not explicitly consider the voltage at the point of common coupling. Consequently, an OPF solution may satisfy the transmission-bus voltage constraints while producing an operating point at which the downstream DERs do not …

Modeling Heterogeneous Trajectories Of Chronic Kidney Disease Progression With Finite Mixture Models Using The All Of Us Dataset, Yahaya Mumuni Musah

Electronic Theses and Dissertations

Background: Chronic kidney disease (CKD) does not progress uniformly across patients, and a single average trajectory often fails to capture this heterogeneity. Understanding variation in disease progression is important for improving risk stratification and clinical management. 
Objectives: This study aims to characterize the heterogeneity of chronic kidney disease (CKD) progression using longitudinal estimated glomerular filtration rate (eGFR) data and to identify factors associated with distinct progression trajectory patterns. 
Methods: A longitudinal cohort study was conducted using data from the All of Us} Research Program collected between April 23, 2002, and October 1, 2023. Adult participants with repeated eGFR measurements were …

Ai Privacy And Security In Healthcare: A Systematic Literature Review, Diane Dolezel, Karima Lalani, Valerie Watzlaf, Kerryn Butler-Henderson, Elise V Z Lambert, Mary Morton, Jamie Sand, David Gibbs, Susan Fenton

Faculty, Staff and Student Publications

Background: Artificial intelligence is expanding into telemedicine and telerehabilitation, yet significant privacy and security concerns persist.

Scope: To synthesize empirical evidence on privacy and security approaches in health care, particularly those relevant to distributed home care.

Methodology: A systematic review identified 80 studies (2019 to 2025), and Latent Dirichlet Allocation (LDA) topic modeling characterized the privacy and security themes.

Results: Sixty-six studies addressed privacy, only seventeen addressed security, and three studies addressed both. LDA identified four themes: patient data privacy, federated learning for medical imaging, encrypted training and secure computation, and healthcare data governance. Most studies emphasized privacy-preserving approaches, like …

A Structured Review Of Emerging Prompt Instability Indices (Piis) To Evaluate The Reproducibility Of Prompt-Driven Image Segmentation Models., Adib Shafipour, Deevakar Rogith, Zulfiia Ditto, Hien V Tran, Katie Stinson, Toufeeq Ahmed Syed

Faculty, Staff and Student Publications

Prompt-aware image segmentation has introduced new flexibility by allowing models to incorporate user-provided cues, such as points, boxes, or text prompts, to guide object delineation across diverse imaging domains. This flexibility introduces a fundamental challenge: ensuring segmentation results remain reproducible when prompts are altered. Minor variations in prompts produce substantially different outputs, raising concerns about the reliability and scientific validity of research and clinical applications. This paper conducts a structured review of emerging Prompt Instability Indices (PIIs), quantitative measures developed to assess the reproducibility of prompt-driven segmentation models. A systematic search of PubMed and arXiv (2020-2025) identified relevant studies, analyzed …

Safety And Efficacy Of 6% Hydroxyethyl Starch In Patients Undergoing Major Surgery: The Randomised Controlled Phoneics Trial, Wolfgang Buhre, Óscar Díaz-Cambronero, Simon Schaefer, Martin Novacek, Marina Soro Domingo, Bjorn Stessel, Aurelio Rodríguez-Pérez, Torsten Richter, Georg Rohe, Bernard Cholley, Matthias Gruenewald, Gerhardus Kuiper, Samir Jaber, Dianne De Korte, Javier Belda, Marcelo Gama De Abreu, Robert Baronica, Thomas Scheeren, Carlos Ferrando-Ortolá, Wojciech Szczeklik, Dana Tomescu, Tomas Vyzamal, Zejka Gavranovic, María Pilar Argente-Navarro, Guido Mazzinari, Sarah Thaler, Nuria García-Gregorio, Jeroen Vandenbrande, Diane Zlotnik, Jakob Wittenstein, Sonja Schmier, Susanne Rohn, Christoph Glasmacher, Martin Holler, Cornelius Jungheinrich, Ulf Niess, Daniel I Sessler, Martin Westphal

Faculty, Staff and Student Publications

Abstract

Background: Hydroxyethyl starch (HES) is often used for maintaining vascular volume during major surgery. Long-term high-dose HES in septic patients promotes renal injury, whereas meta-analyses of current HES products in surgical patients do not show such effects.

Objective: We studied if the peri-operative use of HES is noninferior to crystalloids in terms of acute kidney injury. Secondary outcome was the noninferiority of HES on worsening of renal injury and/or the incidence of a composite endpoint of major complications and mortality until postoperative day 90.

Design: Randomised double-blind trial in patients undergoing elective abdominal surgery with expected blood loss at …

The Law Of The Mid-Transition, Alison Gocke

Michigan Law Review

To address climate change, our energy systems need to transition from fossil fuels to clean energy resources. There is a tendency to think this transition will occur in a linear, seamless progression: We will move from the (old) fossil fuel system at Time A to a (new) clean energy system at Time B. But this belies the reality that an energy transition involves not just building a new energy system, but also unwinding an old one. Crucially, both processes will take time. That means there will be a significant period in which both energy systems coexist.

In the engineering literature, …

Algorithmic Medicine And The Duty To Disclose: Informed Consent Through The Lens Of Radiology, Lee Rodriguez

Michigan Law Review

Informed consent is the law’s mechanism for protecting patient autonomy by requiring disclosure of facts that bear on the decision to accept or refuse care. Artificial intelligence now helps decide what is medically true for patients, yet informed consent law still assumes that diagnostic judgment is rendered by a human mind whose reasoning is at least in principle communicable. Radiology has become the leading setting for this tension. AI systems triage worklists, flag suspected abnormalities, and anchor first-pass impressions in ways that guide radiologists’ attention and, in practice, can coauthor diagnostic conclusions while remaining invisible to patients. When patients are …

Superintendent Accountability In High Achieving School Districts: A Qualitative Multiple Case Study In The State Of Washington, Kristin Lind Jacobs

Graduate Student Theses, Dissertations, & Professional Papers

The primary goal of a school district is to promote and support student academic achievement. Superintendents of public school districts across the United States should therefore be held accountable for student performance within their districts. Establishing a successful public school district requires interconnected relationships among the superintendent, the school board, accountability structures, and evaluation processes.

The purpose of this qualitative multiple case study was to understand how superintendent accountability, in regard to student achievement, was conducted and accomplished by school boards who believe they hold the superintendent accountable for student learning. This study focused on school boards governing high-achieving school …

Instructional Coaching And The Development Of Data-Driven Decision-Making Cultures: A Quantitative Study Of Montana Schools, Kaitlyn Watts Hess

Graduate Student Theses, Dissertations, & Professional Papers

Over the past several decades, education policies in the United States have increasingly emphasized the use of data to guide instructional improvement to raise student achievement. While these policies have increased attention to data use in schools, many educators report limited preparation and support for effectively interpreting and applying student data in classroom practice. As a result, schools continue to face challenges in developing sustainable data-driven decision-making (DDDM) cultures that support continuous improvement.

This study examined the relationship between instructional coaching and the development of DDDM cultures in Montana schools. The purpose of this research was to determine whether statistically …

Bridging The Gap: Evaluating Gnss-Derived Total Water Storage As A Groundwater Monitoring Tool In The Colorado River Basin, Michelle Lee Barton

Graduate Student Theses, Dissertations, & Professional Papers

Groundwater resources in the Colorado River Basin are critically stressed yet remain under-monitored and under-regulated, creating urgent need for reliable, continuous observations at multiple spatial scales. This study evaluates the performance of the University of Montana Global Navigation Satellite Systems (GNSS) terrestrial water storage dataset as a tool for bridging groundwater monitoring gaps across the Upper and Lower Colorado River Basins between 2006 and 2024. We compare GNSS-derived total water storage and groundwater storage estimates against NASA’s Gravity Recovery and Climate Experiment (GRACE) satellite observations and in-situ groundwater well measurements at regional and sub-regional scales. We employ a Bayesian autoregressive …

Understanding Microglial Phenotype Switching Through Dimensionality Reduction And Clustering Analysis, Anthony Wolfe

IdeaFest 2026

Microglia are the brain’s resident immune cells, capable of shifting between pro- and anti-inflammatory states to regulate neural homeostasis. Disruptions to this balance contribute to neurodegenerative diseases such as Alzheimer’s disease. We analyzed single-cell gene expression data from approximately 600 mouse-derived microglia across six weeks to identify genes that capture cellular variability in both high and low dimensional representations. We also performed unsupervised clustering to identify subpopulations within the dataset based on gene expression patterns. This allowed us to map the known spectrum of functional states these cells occupy and examine how these transcriptional states change over time.

From Mandate To Implementation: A Qualitative Content Analysis Of Early Childhood Coursework In Educational Leadership Preparation Programs, Anna Louise Puryear

Graduate Student Theses, Dissertations, & Professional Papers

Research on principal leadership in the P-3 continuum is limited, even though leadership is second only to teaching in its impact on student outcomes. Most leadership preparation programs emphasize K–12 content, with little focus on early childhood education. Illinois is the only state to codify legislation requiring early childhood content in educational leadership programs, offering a unique case to examine how such mandates are implemented. This study employed qualitative content analysis to investigate how institutions of higher education represent mandated early childhood content in graduate-level coursework. Data sources included program-level documents from 22 Illinois leadership preparation programs and course-level materials …

Complete Arcs From Plane Curves, Desmond West-Hedlund

IdeaFest 2026

We discuss the conditions under which the Fq-rational points of a smooth degree-d projective plane curves are maximal under inclusion with respect to the property that no d+1 are collinear in the plane.

Reclaiming Agency: Ai Hallucinations And Translingual Interrogations In The City Tech Writing Center,, Joseph Franklin, Anna Laura Falvey

Publications and Research

No abstract provided.

Strategic Peer Region Selection For Economic Development, Xiaobing Shuai, Riley Ford

School of Professional and Continuing Studies Faculty Publications

Benchmarking against peer and aspirational regions is essential for economic development because it provides meaningful context for evaluating performance and shaping strategy. These comparisons help highlight regional advantages that attract new investments, as well as uncover gaps that may represent opportunities for future growth. ...

This article provides a practical, data-driven framework that economic development organizations can use to identify peer and aspirational regions, strengthen benchmarking efforts, and support strategy development. A case study illustrates how this can be applied to better interpret economic indicators and inform decision-making. For EDOs, this approach offers a more consistent way to evaluate competitiveness, …

Alternative English Language Development Scheduling In High School: Long-Term English Learners’ Attitudes And Perceived Control, Kira Rashada

University of the Pacific Theses and Dissertations

This explanatory sequential mixed-methods study examined whether an alternative English Language Development (ELD) scheduling model influenced ninth-grade Long-Term English Learners’ (LTELs) attitudes toward school and perceived control at a California high school operating on a block schedule. Guided by Self-Determination Theory (Ryan & Deci, 2000), the study explored how differing ELD scheduling models may shape students’ experiences related to autonomy, competence, and relatedness. Specifically, the study compared ninth-grade LTEL students who participated in a traditional 90-minute ELD course during the 2023-24 school year with students who participated in an alternative scheduling model during the 2024-25 school year in which designated …

Statistics 103a Instructor Guide, Elizabeth R. Wentworth

Open Educational Resources

This set of slides contains reading, original videos, activities and instructions for instructors to run a complete 12 week course in any modality. These resources can be used to supplement in-person instruction or can be used for either a hybrid or asynchronous course.

Integrated Seismic And Sequence Stratigraphic Analysis Of The Abu Madi Formation, Baltim Field, Nile Delta, Egypt, Nouran Mostafa Eissa, Mostafa Toni, Alhussein Adham Basheer, Amr Talaat, Amir Ismail

Trends in advanced sciences and technology

Despite the economic significance of the Messinian Abu Madi Formation as a primary gas reservoir target in the Nile Delta Basin, a high-resolution, field-scale integration of seismic sequence stratigraphy with quantitative petrophysical characterization remains lacking for the Baltim area. This study addresses this gap by presenting an integrated seismic sequence stratigraphic and petrophysical analysis of the Upper Miocene Abu Madi Formation within the prolific Baltim gas fields, offshore Nile Delta, Egypt. The objectives are to characterize its depositional architecture, delineate reservoir distribution, and assess hydrocarbon potential. The workflow synthesizes well log data from five key wells with a grid of …

Early Stem Impressions, Student Engagement, And Readiness For Digitalization, Myron Sheu

Journal of International Technology and Information Management

This study examines how early impressions of science, technology, engineering, and mathematics (STEM) shape business students’ learning behaviors and, ultimately, their readiness for organizational digitalization. Focusing on gender differences, subgroup identities, and perceived obstacles, the analysis uses survey data processed through correlation matrices, regression models, and subgroup heatmaps to trace the relationship between initial attitudes toward STEM and subsequent engagement patterns. The findings reveal consistent links between positive early impressions and active participation in structured STEM activities, along with gender-based distinctions in action preferences. Subgroup analyses further uncover nuanced patterns where stereotypes or perceived barriers correspond with reduced engagement. Collectively, …

A Sustainable & Universal Redesign Of Hickory Hill Park In Richmond, Virginia, Ren Hollis, Cynthia Lin, Kira Miller, Jackson Nivera, Patrick O’Shea, Corinne Tsou, Hayston Wines

UROP Posters

Urban green spaces provide essential environmental, psychological, and physical benefits, yet access to these resources is often inequitable. Cities are increasingly vulnerable to climate change, highlighting the need for adaptive design. This study focuses on the redesign of Hickory Hill Park in Southside Richmond, selected through a combination of site suitability analysis and qualitative survey. The guiding research question is: How can a park in Richmond be designed to optimize environmental resilience, accessibility, and community benefits?

The selection of a research location and scope used a mixed-methods approach integrating spatial analysis, environmental assessment, and community engagement. A site suitability analysis …

The Impact Of Test-Optional Policy On Private College Admissions During The Covid-19, Anna Kye, Meng-Jia Wu

Journal of College Access

The COVID-19 pandemic disrupted many aspects of higher education, including college admissions processes. Since 2020, numerous universities and colleges have adopted test-optional policies, allowing applicants to decide whether to submit standardized test scores. Although such policies have been in place at some institutions since 1998, research on their associations with student diversity and enrollment patterns has produced mixed findings. The widespread adoption of test-optional policies during the pandemic presents an opportunity to further examine their role in admissions. This study draws on admission data from a four-year, nonprofit, private university in the Midwest and uses logistic regression to explore patterns …

Saliency Guided Reinforcement Leaming For Multi Step Mathematical Reasoning In Large Language Models, Ji Dung Lo

Computer Science and Engineering Master's Theses

Large language models perform strongly on many tasks but remain unreliable on complex multi step mathematical reasoning. Existing reinforcement learning methods treat reasoning trajectories as uniformly informative, ignoring that some intermediate steps matter more than others. This thesis argues that reasoning is structurally uneven and that optimization should reflect this internal credit distribution.

We adopt Group Relative Policy Optimization (GRPO) to construct a fully automated reinforcement learning framework. To provide intermediate supervision without human annotation, we automatically generate short quiz questions that test key reasoning checkpoints. Quiz rewards complement final answer rewards, enabling structured feedback while keeping the pipeline scalable. …

Topic Modeling The Cuny Graduate Center's Dissertations And Theses, Michael Mandiberg

Open Educational Resources

This 4 week module is designed for Data Analysis, Data Visualization, and Digital Humanities courses at the MA/MS or advanced 400-level undergraduate level. It introduces students to textual analysis with topic modeling and requires a solid foundation in Python. The module uses Gensim and a Colab notebook to introduce a standard text analysis workflow used in Digital Humanities, archival research, and exploratory data analysis.

Students build a topic model describing 19,000 CUNY Graduate Center dissertations and theses. They work with an unexplored dataset to load and explore the data, prepare the corpus, train and evaluate a topic model, and interpret, …

Creative Destruction For The Patent System? Impact Of Generative Ai, Henry H. Perritt Jr.

Minnesota Journal of Law, Science & Technology

AI raises the provocative possibility that patents could one day become obsolete. AI has the ability both to generate inventions and to simulate the perspective of a person having ordinary skill in the art (PHOSITA). This article explores the transformative impact of generative artificial intelligence (AI) on the United States patent system. The article supports a scenario in which everything becomes invented—and simultaneously, everything becomes obvious—thus challenging a foundational criterion for patentability. These developments can occur within established principles of inventorship, obviousness, and subject matter eligibility under U.S. patent law. Using a narrative case study and a test invention, the …