Digital Commons Network^™

Chi Meta-Project Ecosystem Overview - Spring 2026, David B. Smith

Publications and Research

This paper offers a high-level account of the Center for Holistic Integration’s (CHI) meta-project ecosystem as visualized in the included system map. CHI provides an organizational structure framed around persistent meta-projects that support and extend individual initiatives across curriculum, scholarly and applied research, infrastructure, artistic production, AI development, cultural inquiry, and external partnerships. Rather than presenting the map as a static inventory of projects, the paper examines how its core domains function as living systems through which knowledge, tools, documentation, participants, and collaborations can accumulate over time. It also considers how CHI-mediated connectivity, institutional integration, and external funding allow the …

Crustal Structure Of The Vøring Plateau And Vøring Spur From Joint Refraction And Reflection Travel-Time Tomography, Anika Nawar Mayeesha

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

Crustal architecture of the Vøring Plateau and Vøring Spur in the mid-Norwegian continental margin remains debated because the geophysical data in the area do not uniquely constrain whether the crust is continental, oceanic, or transitional. This study reanalyzes wide-angle ocean-bottom seismometer data from Profile 11-03 across the Vøring passive continental margin using joint travel-time tomography of crustal refractions and Moho reflections. A total of 6,760 first-arrival picks and 542 PmP picks from sixteen instruments were inverted for P-wave velocity and reflector depth. Three starting models were inverted independently to test sensitivity to the initial crustal configuration. The first two used …

Systematic Errors In Judging The Performance Of Others, Michael J. Benson

Psychology ETDs

The well-documented tendency of people to be poor estimators of their relative abilities can be problematic in real life. These errors in are highly asymmetric: the worst performers dramatically overestimate their relative ability, whereas the best performers underestimate theirs (Kruger & Dunning, 1999). There are two possible causes of this misjudgment of relative ability: 1) participants are poor estimators of their own performance, or 2) participants are poor estimators of the comparison group’s performance. Kruger and Dunning (1999) attributed overestimation in the worst performers to the former problem but attributed the underestimation in the best performers to the latter problem. …

Examining Clinical Educators’ Readiness For Artificial Intelligence In Medical Education: An Exploratory Qualitative Study, Tim Murphy, Ginger Vaughn, Rob E. Carpenter, Benjamin Mckinney, Rochell Mcwhorter

Human Resource Development Faculty Publications and Presentations

Artificial intelligence (AI), treated in this study as an umbrella term for AI-enabled clinical and educational technologies rather than as a single platform, is reshaping medical education, including how diagnostic skills, treatment planning, and patient care are taught. This study examines AI integration in medical education through the perceptions and readiness of clinical educators. Guided by the Unified Theory of Acceptance and Use of Technology, the study explores factors influencing AI adoption in medical training, including performance expectancy, effort expectancy, social influence, and facilitating conditions. In this exploratory study, semi-structured interviews were conducted with 15 clinical educators in the south-central …

Data-Driven Characterization Of Counties In The Prison Industrial Complex Using Clustering Analysis, Riley N. Tuccio

Capstone Projects

This project investigates the complex relationship between counties that house prisons in the United States and the rurality associated with them. The central research question explores how both county characteristics, such as variables corresponding to cost of living and demographics of a county, and prison characteristics, such as programming available to inmates and staffing levels, differ across the census-designated rural-urban distinctions. Furthermore, the study examines whether modern data science methods can more accurately define and distinguish these characteristics, providing a nuanced understanding of the Prison Industrial Complex (PIC) and its manifestation across various American communities. The motivation for this research …

Perspectives Of Scholars, Families, And Advisors On 360-Degree Video Technology In Graduate Education, Oluwatobi A. Mogbojuri, Bridget A. Walsh, Matthew Aguirre

Journal of Human Sciences and Extension

This study explored the experiences of scholars in creating and sharing 360-degree videos, as well as the perspectives of families and advisors who viewed the videos. Focus groups and individual interviews were conducted online using a videoconferencing platform. Perspectives from 20 participants (15 scholars, three advisors, and two family members) were analyzed using thematic analysis. Three primary themes were identified: (1) barriers to 360-degree video use, (2) perspective shifts and limited change, and (3) storytelling and scholar visibility. Findings suggest that 360-degree video technology may be an innovative tool for enhancing recruitment and retention, especially for historically marginalized groups, through …

The Implementation Of Smart City Initiatives In Addressing Climate Change Challenges For The Transformation Of Jakarta Into A Resilient Global City, Roby Dwiputra, Nurulitha Andini Susetyo, Apriano Hanindito Amanza

CSID Journal of Infrastructure Development

Jakarta, a densely populated delta city and Indonesia's former capital undergoing post-relocation transformation, faces escalating climate change impacts, including land subsidence and tidal flooding. Annual subsidence rates of 5–25 cm in northern areas and recurrent tidal floods, including the December 2025 event, pose significant threats to urban sustainability and economic stability. This study employs a qualitative descriptive–analytic approach using a single-case study of Jakarta. Smart city initiatives are examined as governance instruments for climate resilience, drawing on secondary data from regulatory documents, real-time digital monitoring platforms, and global smart city performance indicators. The analysis applies thematic and comparative techniques supported …

Long-Run Effects Of H-1b Immigration On The U.S. Economy, Ran Abramitzky, Leah Boustan, Ahmet Gulak, Jens Hainmueller

Cowles Foundation Discussion Papers

We study the effects of H-1B immigration on U.S. industries that employ H-1B workers and their trading partners. Using a novel cross-industry design and the 1999–2003 expansion of the H-1B visa cap for identification, we find that H-1B exposure raised incomes for natives and pre-existing immigrants, with gains concentrated in non-STEM occupations. Income gains propagate forward through supply chains to downstream industries but not backward to upstream industries, consistent with a productivity shock rather than a labor supply shock. We find no direct effect on patenting, suggesting that productivity gains arise from better task execution rather than patentable invention.

Common Cybersecurity Attack Types And Zeek-Based Detection Strategies In Iot Networks, Christofer Piedra, Alain Edwards

Florida Atlantic Undergraduate Research Journal

As cybersecurity threats increase in scale and complexity, the ability to distinguish hostile traffic from benign network activity is essential. This research examines five prevalent cyberattack categories that impact IoT environments and outlines detection strategies utilizing the open-source Intrusion Detection System (IDS) Zeek. This study provides practical detection methods designed for scalable, real-time environments by classifying five commonly encountered attacks, namely: Reconnaissance, Denial of Service (DoS) and Distributed Denial of Service (DDoS), Brute Force, Man-in-the-Middle (MitM) and Spoofing, and Botnet and Malware Behavior. For each attack, we analyze the prevalence, operational impact, and associated indicators. We also present Zeekbased pseudocode …

Biographies, Editorial Team

Florida Atlantic Undergraduate Research Journal

No abstract provided.

A Comprehensive Overview Of The Quantum Approximate Optimization Algorithm, Vincent Stafford

Florida Atlantic Undergraduate Research Journal

As quantum computing research advances, the Quantum Approximate Optimization Algorithm (QAOA) has emerged as a leading approach to harnessing current quantum hardware for solving complex combinatorial optimization problems. This pedagogical, expository paper outlines the mathematical foundations of QAOA, explains its step-by-step implementation from first principles in a manner accessible to advanced undergraduate students and non-specialists, and explores real-world applications such as protein folding and job scheduling. We also examine the algorithm’s performance challenges, including barren plateaus and circuit depth limitations.

Assessment Of Information Literacy Instruction In Reference: Applying Vanscoy’S Conceptual And Procedural Framework In Practice, Vanessa Arce

Publications and Research

The instructional aspect of reference work has long been acknowledged, especially in academic libraries. The current RUSA guidelines include helping users develop information literacy as a goal of reference. In this context, investigating the presence and nature of information literacy instruction can be used to assess the quality of reference services. This study applied Amy VanScoy’s conceptual/procedural framework for point-of-need instruction to a sample of chat reference transcripts at Lehman College, City University of New York. One of the assessment’s goals was to determine the prevalence of instruction and type of knowledge addressed in reference interactions. Another goal was to …

Synoptic Conditions Favoring Tropical Cyclone-Enhanced Southwest Monsoon High Precipitation Events In The Philippines, Alwin Andriel L. Bathan, Lyndon Mark P. Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, John A. Manalo, Jun Matsumoto

SOSE Affiliate: Manila Observatory

The interaction of tropical cyclones (TCs) with the southwest monsoon frequently causes heavy precipitation events (HPEs) and widespread flooding across the Philippines. Despite their substantial socio-economic impacts, the synoptic conditions that favor these events remain insufficiently understood, underscoring the need for systematic investigation to help improve forecasting and risk assessment. Lag composite analysis of daily rainfall records and reanalysis data from July to September for the period 1981–2023 shows that HPEs are more likely to occur when: (1) enhanced monsoon westerlies are present over the tropical Indian Ocean for at least nine days before the HPE, (2) a TC passes …

Impacts Of Climate Hazards On Employment And Earnings By Hazard Type, Industry, Race, And Ethnicity, Dania V. Francis, Keren M. Horn

Sustainable Solutions Lab

We examine the relationship between climate-related disasters and subsequent county-level aggregate employment and earnings. We combine earnings and employment data from 2000 to 2023 with data on disasters to estimate local projection impulse response functions relating extreme disaster events to cumulative percent changes in employment and earnings. On average, disasters appear to reduce employment growth three to five years post disaster. There are small positive impacts on earnings. These results are largely driven by responses to hurricanes and tropical storms. Key rebuilding industries such as construction see short-term gains in employment that turn to losses in the longer-term that are …

Influence Of Stormwater Flooding Events On The Mobile County School District Student Population, Kadence Kali Johnston

Honors Theses

Mobile County, Alabama, receives among the highest annual rainfall totals in the United States resulting in frequent stormwater flooding that intersects with existing socioeconomic vulnerabilities. Within the Mobile County Public School System (MCPSS), 77% of students are economically disadvantaged and over 10% experience homelessness, creating heightened risk for educational disruption during flood events. This study investigates how stormwater flooding influences school attendance, closures, and academic performance across MCPSS, providing insight into how climate-driven hazards exacerbate educational inequities. The research integrates flood frequency, school performance metrics, and GIS flood-zone mapping and teacher perceptions to understand how flooding affects student learning opportunities. …

Mengukur Capaian Dan Identifikasi Konvergensi Pembangunan Infrastruktur Antarprovinsi Di Indonesia, Ressa Isnaini Arumnisaa', Aisyah Fitri Yuniasih

Jurnal Ekonomi dan Pembangunan Indonesia

Indonesia’s economic challenges are characterized by stagnant economic growth and regional development disparities. This study analyzes the achievement and convergence of infrastructure development across provinces in Indonesia during 2011–2021 through the construction of an Infrastructure Development Index (IPI). The study employs panel data from 33 provinces, using factor analysis to construct the IPI and the First Difference Generalized Method of Moments (FD-GMM) to examine convergence and its determinants. The results show that many provinces still have IDI scores below the national average. Furthermore, the FD-GMM model shows that σ-convergence and β-convergence occur in Indonesia. In addition, GRDP per capita, inflation, …

Food Insecurity, Economic Shocks, Poverty, And Inequality In Nigeria, Ibrahim Tijjani Salihu, Jahen F. Rezki

Jurnal Ekonomi dan Pembangunan Indonesia

Drawing on the 2018/2019 Nigeria General Household Survey — a nationally representative sample of 5,000 households across six geopolitical zones obtained using multi-stage stratified sampling — this study applied linear probability and probit models to examine poverty’s socioeconomic drivers. Findings show food insecurity and economic shocks worsen poverty, while remittances, credit access, employment, safety nets, and education help reduce it. Using poverty indices and the Gini coefficient, the analysis found rural households face greater poverty incidence, depth, and severity than urban households, despite urban areas showing marginally higher income inequality. Inequality among lower-income households, however, was nearly identical across both …

Bibliography For "Faculty Publications Book Display", Sally Park

Library Displays and Bibliographies

A bibliography created to support a display about faculty publications during summer 2026 at the Leatherby Libraries at Chapman University.

Ethos: A Computational Framework For Material Culture Research, Chelsea L. Grafe

Department of Textiles, Merchandising and Fashion Design: Dissertations, Theses, and Student Research

Museum catalog records make large collections searchable, but they do not always preserve the reasoning behind the claims they contain. A record may present a quilt's identity as settled while leaving the reasoning behind that claim invisible, making it difficult for later researchers to check, question, or reuse. This project asks whether museum catalog data can be analyzed in a way that keeps each analytical claim connected to the evidence that supports it. To test this question, the project applies a material-first computational framework named Ethos. Ethos formalizes an object-centered inquiry sequence in which material dependencies establish where analysis begins …

Late-Night And Early-Morning Train Scheduling With Non-Traffic Hour Maintenance Window In Urban Rail Transit Systems, Yaochen Ma, Hai Yang, Hai Wang

Research Collection School Of Computing and Information Systems

Regular maintenance during non-traffic hours (NTH) is vital for the resilience of urban rail transit (URT) systems, yet an insufficient NTH maintenance window poses a challenge for URT systems in various cities. For instance, the Hong Kong MTR Corporation has noted that the required NTH maintenance time often exceeds the available window, prompting service adjustments such as earlier late-night closures and/or later early-morning starts. To address this challenge, this study develops an optimal scheduling framework that links late-night and early-morning URT services through the NTH maintenance window requirement to maximize public welfare. A Decoupled Optimization Model (DOM) first derives closed-form …

Fraud And Focus: Examining Self-Control Strategies In Students Experiencing Impostor Phenomenon, Francesca Angela Catalano

Theses and Dissertations

Impostor phenomenon (IP) is a common experience among individuals in achievement contexts characterized largely by feelings of self-doubt, attributions of success that focus on external factors, and beliefs that one is “fooling” others about their competence. Current research suggests the effects of IP are complex (e.g., IP is associated with higher grade point average and productivity but also self-handicapping, psychological distress, and difficulties adjusting to college). To better understand these complex effects, this study proposes a self-control perspective for IP, where this phenomenon is seen as involving additional self-control burdens. Specifically, the study examines whether IP is associated with grade …

Estimasi Underground Economy Triwulanan Di Indonesia Pada Tahun 2010–2023, Ghina Anandhia, Hardius Usman

Jurnal Ekonomi dan Pembangunan Indonesia

Underground economics have a significant impact on economy. Underground economy leads to low potential state revenues from the tax sector. This study estimates the quarterly value of the underground economy in Indonesia from 2010 to 2023 using the Error Correction Model (ECM) method. The results show that the average value of the underground economy in Indonesia is IDR138,392.32 billion, equivalent to 5.36 percent of Gross Domestic Product (GDP) and 35.72 percent of tax revenue from 2010 to 2023. GDP and tax burden variables have a positive influence on currency demand.

Improving Urban Search And Rescue Team Coordination Through Adaptive Context Awareness, Daniel Reyes Duran

Doctoral Dissertations and Master's Theses

Modern multi-agent Urban Search and Rescue (USAR) operations heavily rely on mobile geospatial Common Operating Pictures (COPs) to maintain team coordination and Situational Awareness (SA). However, the proliferation of high-frequency sensor telemetry at the tactical edge has introduced a data saturation paradox challenge: while information theoretically drives informed decision-making, unmanaged data surges induce increased operator cognitive overload and alert fatigue on mobile End-User Devices (EUDs), while downstream data-broadcasting models inherently strain edge processing and viewport environments.

To resolve these constraints, this dissertation presents a context-aware Value of Information (VoI) data-management framework integrated directly with a custom, event-driven Android Team Awareness …

Polarized Truth Decay & The Role Of Education In A Democracy, Sonja Varbelow, William Yaworsky

Anthropology Faculty Publications

The purpose of this paper is to delineate the causes and dangers of truth decay for a democracy, the role education has played in the process, and how education can present a resistance to this dangerous trend. Truth decay has been characterized as an increase in quantity of opinion over fact, divergent views on what constitutes a fact, and decreased confidence of traditional sources of information. We agree that truth decay is a serious problem but would characterize it somewhat differently. Opinions, divergent views, and decreased confidence in traditional sources of information are not detrimental by themselves. Instead, we see …

Rhetorical Physics And The Laws Of Language: A Comparative Analysis Of President Trump And President Macron At The United Nations 2025, David Edmund Allen

Research outputs 2022 to 2026

The paper features a textual analysis of the UN speeches made by the US President Donald Trump and by France’s President Macron. President Trump’s speech was made in the absence of a teleprompter and lasted almost an hour. President Macron’s speech was representative of a more standard diplomatic speech. Both speeches are analyzed using a variety of models and techniques. The analysis incorporates an exploration of Manin’s link of Zipf’s law to concepts from information theory and algorithmic complexity, Tao’s concepts applied to power laws, ‘E pluribus unum’, out of many, one, plus a completely new application of Villermaux’s universal …

Preparing Today’S Workforce For Tomorrow’S Autonomous Transportation: Bridging Electrical And Civil Engineering Disciplines, Masoud Ghodrat Abadi, Rohollah Moghadam

Mineta Transportation Institute

Autonomous vehicles (AVs) are expected to transform transportation systems and reshape workforce needs across engineering and related fields. Although existing AV workforce development efforts often emphasize electrical engineering, computer science, and mechanical engineering, transportation engineering remains underrepresented despite its importance to infrastructure, traffic operations, safety, and mobility integration. This study addresses that gap through the development, implementation, and evaluation of an interdisciplinary certificate program, Workforce for Autonomous Vehicle Engineering (WAVE), at California State University, Sacramento. The program was designed to bridge transportation engineering and electrical engineering through a two-step curriculum model consisting of theoretical educational modules and hands-on laboratory activities. …

2026 July, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for July of 2026.

How Cultural Homogeneity Couples With Organizational Climate In Public School Environments, Steven R. Peterson

All-Inclusive List of Electronic Theses and Dissertations

This quantitative study examines how cultural homogeneity influences teachers’ perceptions of school climate in Indiana public schools. Grounded in systems thinking and organizational theory, the study analyzes how shared values and norms shape teachers’ responses to leadership practices and stakeholder demands. Data were collected from educators using the School Culture Survey and a custom scenario-based climate instrument capturing reactions to organizational challenges. Statistical analyses explored relationships between cultural homogeneity and teachers’ perceptions of stability, workload, and adaptive capacity. Results indicate that alignment in key cultural dimensions—particularly Collaborative Leadership—significantly shapes climate experiences, while overall homogeneity alone does not predict workload pressures. …

Global Prevalence Of Internet Gaming Disorder: An Umbrella Review Of Meta-Analytic Evidence And Implications For Child And Adolescent Psychiatry, Elisabeth C. S. Poon, Xun Ci Soh, Trina J. H. Poh, Andre C. S. Tan, Andree Hartanto

Research Collection School of Social Sciences

Background/Objectives: Internet gaming has become a widespread global activity, raising concerns about the prevalence of Internet Gaming Disorder (IGD). However, existing meta-analyses report highly variable prevalence estimates. This umbrella review aims to clarify the prevalence and variability of IGD by synthesizing evidence from meta-analyses to provide a comprehensive overview of IGD prevalence across populations, age groups, and regions. Methods: Following PRISMA guidelines, systematic searches were carried out across five published literature databases and two supplementary search sources. Title and abstract screening, followed by full-text eligibility assessment, were conducted independently by three authors. The same three authors then performed data extraction …

Online Planning Of Power Flows For Power Systems Against Bushfires Using Spatial Context, Jianyu Xu, Qiuzhuang Sun, Yang Yang, Huadong Mo, Daoyi Dong

Research Collection College of Integrative Studies

A power station or transmission line can be affected due to bushfires, increasing operation costs. We study a fundamental but challenging problem of planning the optimal power flow (OPF) for power systems under bushfires. We develop a model to capture the stochastic nature of bushfire spread based on Moore’s neighborhood model and propose an online optimization modeling framework to sequentially plan power flows in the electricity network. Our framework assumes that bushfire spread is non-stationary over time and that the spread and containment probabilities are unknown. To address these challenges, we develop a contextual online learning algorithm that treats the …