Digital Commons Network^™

Surgical Interventions For Treating Vesicovaginal Fistula In Women, Yoshiyuki Okada, Tomomi Matsushita, Takeshi Hasegawa, Hisashi Noma, Erika Ota, Bob Achila, Yasukuni Yoshimura

Obstetrics and Gynaecology, East Africa

Objectives This is a protocol for a Cochrane Review (intervention). The objectives are as follows:

To assess the benefits and harms of surgical interventions for treating vesicovaginal fistula in women.

Fifty Years Of Research In The Commonwealth Of The Bahamas: A Quantitative Thematic Analysis Of Scholarly Output, Amina Moss, Krista D. Sherman, Williamson Gustave, Kathleen Sullivan Sealey, Charlotte Dunn, Nicola Simone Smith, Lindy Knowles, Christy Gibson

Gulf and Caribbean Research

This study presents the first longitudinal bibliometric mapping of peer—reviewed research on The Bahamas, analyzing 12,113 Web of Science records (1975–2025) using CiteSpace v.6.4.R2. We identified 36 co—citation clusters (modularity Q = 0.7967; silhouette = 0.9231) and 28 keyword clusters (Q = 0.7523; silhouette = 0.8695), revealing 8 thematic trajectories over 5 decades. Early research (prior to 1990) focused on carbonate geology and sea—level dynamics across the northwestern Bahama Platform and Blake—Bahama Basin (Cluster#0, silhouette = 0.939). From the 1990s–mid—2000s, attention shifted to marine fisheries, Aliger gigas, coral reefs, and ecological resilience (Cluster #1, n = 203). In the …

Cybercrime, Vulnerability And Digital Guardianship: Opportunity Structures And Prevention In A Changing Online Landscape, Mike Toro-Alvarez, Amy Lim

International Journal of Cybersecurity Intelligence & Cybercrime

No abstract provided.

Analyzing Modern Scam Typologies: From Pig-Butchering And Nigerian Advance-Fee Fraud To Crypto Airdrop Schemes, Katalin Parti, Sinyong Choi, Thomas Dearden

International Journal of Cybersecurity Intelligence & Cybercrime

Rapid advancements in digital infrastructure and decentralized networks have fundamentally altered the nature of contemporary cybercrime, making comprehensive empirical and technical analysis more crucial than ever. To address these challenges, this editorial summarizes the research contributions featured in this issue of the International Jour nal of Cybersecurity Intelligence and Cybercrime. The included papers examine the structural on-chain dynamics of sanctioned pig-butchering operations, the representational production and AI-driven evolution of the “Nigerian scam” label, the critical transaction-authorization factors driving losses in crypto airdrop schemes, and the optimization of sentence-transformer models for automated Host Intrusion Detection System (HIDS) alert enrichment. Together, these …

Three-Tier On-Chain Transaction Architecture In A Sanctions-Linked Pig-Butchering Network: A Blockchain-Forensics Case Study, Matthew Stern, Kyung-Shick Choi

International Journal of Cybersecurity Intelligence & Cybercrime

n October 2025, the U.S. Department of the Treasury’s Office of Foreign Assets Control (OFAC) sanctioned 29 Bitcoin addresses asso ciated with the Prince Group and Chen Zhi, providing an opportunity to examine the internal on-chain structure of a sanctions-linked pig-butchering network. This blockchain-forensics case study analyzes the group of 29 addresses using blockchain tracing, cross-plat form attribution checks across multiple commercial analytics platforms, exposure screening, and thematic analysis of transaction be havior. Because the case rests on OFAC designations and DOJ allegations, the traced flows are interpreted as patterns consistent with suspected laundering rather than adjudicated crimes; no fiat …

Attribution Post ‘Aura’ Loss: A Qualitative Discourse Analysis Of The Nigerian Scam Label And Fraud Attribution, Emaediong Akpan

International Journal of Cybersecurity Intelligence & Cybercrime

In this essay, I employ qualitative discourse analysis of eleven purposively selected literature to examine how “Nigerian scam” became an established yet detached signifier of advance-fee fraud in global discourse. I do not treat this association as a reflection of offender identity or national inclination. Instead, the analysis traces how attribution is produced through representational repetition, institu tional uptake, and the circulation of familiar narrative cues. Using qualitative discourse analysis and an interpretive approach, this paper distinguishes among the socio-technical conditions that enable fraud, the institutional processes that stabilize attribution, and the semiotic dynamics through which national categories acquire durability. …

The Skills That Win Championships: An Nba Team Winrate Prediction Analysis (2023-2024) ​, Royce A. Reeves, Thirumukelan Senthilkumar, Alsion Tafa

High Impact Practices Student Showcase Spring 2026

This study examines the relationship between team performance metrics and win percentage in the 2023–24 NBA season. Using team level data sourced from NBA.com and Kaggle, we analyzed variables including shooting efficiency, rebounds, turnovers, and plus/minus. Exploratory data analysis was conducted to assess relationships and address potential collinearity. Multiple linear regression was used to model win percentage, followed by model selection to identify the most impactful predictors. The final model explains approximately 90% of the variation in team success and identifies plus/minus, three-point percentage, turnovers, and rebounds as significant factors. Results indicate that overall team performance three-point shooting, and limiting …

Analysis Of Workplace Attributes On Annual Income In The Technology Sector, Kyle J. Miller, Naddya Jannessa Favela, Kyle A. Carter

High Impact Practices Student Showcase Spring 2026

No abstract provided.

Exploring Novice Teacher Readiness For Urban Classrooms: A Phenomenological Study Of Teacher Education Programs, Thomas Virgona

Selected Full Text Dissertations, 2011-

This phenomenological study investigates the preparedness of novice educators transitioning from higher education programs to urban school settings, addressing high teacher attrition rates in under-resourced urban communities. Through the lens of Bandura’s self-efficacy theory and a phenomenological framework, the research explores how novice educators perceive their preparedness for urban classroom challenges and which elements of their preparation proved most beneficial. The study analyzes in-depth interviews with 10 novice teachers across four Title I school districts in Nassau and Suffolk Counties, New York. Findings revealed that participants perceived themselves as underprepared for the socioeconomic realities, behavioral complexities, and cultural diversity of …

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 …

Designed Lands©Apes—Ar©Hitecture, Sculpture, Visual Art, Shape, Pi©Torial Work, Or . . . Nothing At All?, Richard H. Chused

Articles & Chapters

This article arises from the saga of the construction and eventual destruction of a landmark landscape architectural work by the well-known artist Mary Miss that was constructed adjacent to the Des Moines Art Center called Greenwood Pond: Double Site. The project’s demise is emblematic of the remarkably ambiguous copyright problems that surround such artistic creations. They do not neatly fit into any category of copyrightable works. Though they may contain sculptural works, their overall designs are rarely totally sculptural. While architects typically draw plans and “sculpt” a landscaped space, the results usually are not “buildings,’ as required by the definition …

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.