Digital Commons Network^™

Culturally Responsive Stem Education: Integrating Mapping Techniques And Drone Technology For Youth, Mayra Rodriguez Gonzalez, Kevin G. Torres Garrido

Journal of Youth Development

Integrating drone and geospatial technologies with participatory techniques offers a promising approach to culturally responsive STEM education. However, these areas are rarely combined in existing literature. Drone and geospatial education for youth generally focuses on technical skills, while participatory methods in youth-led initiatives often aim to foster community connection and a sense of place. Unfortunately, these approaches typically exist in isolation within youth programming. This disconnect limits the potential to engage underrepresented youth in STEM by not linking spatial data to local contexts and culturally meaningful narratives. By combining these approaches, both technical learning and personal engagement could be enhanced, …

Gentrification And Voter Turnout In Urban School Board Elections, Erika Leicht

Tennessee State University Alumni Theses and Dissertations

Gentrification is a process in which low-income urban neighborhoods experience reinvestment and an influx of higher socioeconomic status (SES) residents. There is a growing literature on the impacts of gentrification on public schools, including effects on enrollment, student achievement, and parent involvement. This study examined whether gentrification is related to voter turnout in school board elections in urban local education agencies (LEAs) in Texas. It also examined whether the relationship between gentrification and voter turnout varies depending on the availability of school choice options and the racial/ethnic differences between public school students and neighborhood populations. Using a fractional logistic regression …

A. Syllabus His 207 Comparative Twentieth Century South African And United States Civil Rights And Voting Rights Histories, Frankie Nicole Weaver

Frankie Nicole Weaver, Comparative Twentieth Century South African and United States Civil Rights and Voting Rights Histories

Originally shared as an in-person comparative upper-level undergraduate history course, this course was adapted for online, virtual use. It works well in either format; however, if you share it virtually, I strongly encourage at least one weekly synchronous class meeting and utilizing breakout rooms to promote discussion. Also, provide discussion questions and randomly enter breakout rooms to facilitate discussion --ensuring that engaging discussions occur. I recommend offering both in-person and virtual office hours, regardless.

The Imperial Gaze: Affective Governance, Hybrid Cartography, And China’S U-Shaped Line, William A. Callahan

Research Collection School of Social Sciences

This article develops ‘the imperial gaze’ concept to explore how maps not only represent the world, but also do things in geopolitics, even provoking mass demonstrations. It examines China’s early-modern and contemporary maps to highlight how they create an imperial gaze that guides Chinese understandings of world order. If your cartographic ‘view of the world’ produces your ideological ‘worldview’, then it is important to see how China’s early-modern maps inform the PRC’s twenty-first-century claims in the South China Sea. The article argues that Chinese cartography does things in geopolitics by mobilising the affective governance of an assemblage of hybrid combinations …

Designing An Experiment To Create And Evaluate Behavioral Changes In Air Force Pilots' Fuel Efficiency, Jackson Macias

Theses and Dissertations

Fuel represents over 70% of the logistical resupply demand within the Department of Defense, with the United States Air Force accounting for most of that consumption. While prior fuel efficiency efforts have primarily focused on technical upgrades, this research explores how behavioral interventions can influence pilot decision-making and operational energy outcomes. Using the Theory of Planned Behavior (TPB) as a guiding framework, this study investigates the effects of targeted behavioral strategies on pilots’ attitudes, subjective norms, perceived behavioral control, intentions, and actual fuel-efficient behaviors. A quasi-experimental design was applied through a controlled pilot study using simulator flights. Six participants were …

Designing The Protocol For An Experimental Flight Simulation Study Encouraging Fuel Efficient Behavior, Thomas S. Reardon

Theses and Dissertations

This study designed and tested an experimental instrument to examine how pilots respond to fuel efficiency feedback in a flight simulator. A standardized flight plan, script, and hardware setup were created using X-Plane 12 software and physical flight simulator hardware. The chosen sortie guided participants from Monterey Regional Airport to Moffett Federal Airfield using instrument flight rules (IFR). The flight script provided step-by-step guidance to ensure consistent behavior across participants. The simulator was mapped to match real cockpit controls and allowed for precise data collection including flight time, altitude, heading, and fuel use. The goal was to support a larger …

Trends And Predictive Modeling Of Real Estate Prices In Major Saudi Arabia Cities, Meshal S. Aldahas

Theses and Dissertations

his research examines historical trends and explanatory modeling of real estate prices in major Saudi cities, with a focus on Riyadh, Jeddah, and Dammam. Using a mixed-methods approach, the study integrates quantitative data from 2010–2023, including housing and macroeconomic indicators, with qualitative insights drawn from over 320 survey responses that captured consumer sentiment on affordability, job security, and housing policies. A combination of descriptive statistics, ARIMA and Exponential Smoothing techniques was applied to detect long-term patterns, seasonal variations, and market shocks. Predictive modeling was conducted using Linear Regression, Decision Trees, and Neural Networks, with results showing that job security consistently …

The Evolution Of Women Behind The Wheel, Gabrielle Iorio

Proceedings of the New York State Communication Association

This paper places the current state of women in motorsports in conversation with scholarship focused on media and cultural identity by providing historical context for women in motorsports while analyzing media representations of Danica Patrick and current racers Hailie Deegan, Toni Breidinger, and Tatiana Calderon. While great progress has been made in acceptance of women as professional race car drivers and in media representations of them, stereotypes still face these drivers when it comes to obtaining sponsorships and the types of sponsorships they receive.

2025 September, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for September of 2025.

The Weight Of Complicity: A Network Analysis Of Ecocide In Palestine, Marilyn Moy

Dissertations, Theses, and Capstone Projects

This paper combines multi-criteria decision analysis (MCDA) with a network graph visualization to examine corporate and institutional involvement in ecocide in Palestine from 1917 to the present. Using a weighted sum model based on UN human rights principles and UNEP guidelines, actors are evaluated across three criteria: directness, scale, and duration of harm. A dataset of 50+ entities, including Caterpillar, Elbit Systems, and the Jewish National Fund, reveals a dense network of responsibility, with major enablers in the construction, tech, and military sectors. Findings highlight the severe impacts of the 2023–present assault on Gaza and demonstrate that ecocide is a …

Non-Linear Heart Rate Variability: Investigating Cardiac Complexity Of Psychopathic Traits, Khaya A. Roach

Dissertations, Theses, and Capstone Projects

Psychopathy is a complex personality disorder characterized by distinct emotional and interpersonal deficits, and affects approximately 25% of the prison population and 4.5% of nonincarcerated populations. The manifestation of psychopathy can be understood through two distinct variants, each demonstrating unique etiological pathways and clinical presentations. Primary psychopathy is characterized by core interpersonal and affective deficits, including shallow emotions and manipulativeness, while demonstrating reduced autonomic responsivity and lower anxiety levels. Secondary psychopathy presents with higher levels of impulsivity, anxiety, and emotional dysregulation, showing stronger associations with various psychopathologies. Treatment outcomes also vary between the variants, with primary psychopaths typically showing poor …

Full Issue, Volume 20, Issue 3

Journal of Youth Development

No abstract provided.

Learning Camp, Language Of Instruction, And Education Outcomes: Evidence From A Field Experiment In Malawi, Hyuncheol Bryant. Kim, Kim

Research Collection School Of Economics

We conducted a randomized experiment to study the impacts of a summer learning camp and the language of instruction on education outcomes. The program, covering social studies and mathematics, provided additional high-quality learning time for 4th and 5th graders in Malawi. The program significantly increased test scores in social studies and mathematics (0.24–0.36 standard deviations). We find suggestive evidence that the impact on test scores in social studies was greater for students instructed in Chichewa, the local language, than for those instructed in English. However, we find no such evidence of differential impacts on test scores in mathematics by the …

A Difficult Act To Maintain, J.G. Allen

Research Collection Yong Pung How School Of Law

In "Where is Singapore's AI regulation headed?" (Issues, Summer 2025), Manoj Harjani starts by recounting its delicate balancing act in governing artificial intelligence. The city-state is able to maintain credibility on the global stage while remaining pragmatically grounded in technical experimentation, maintaining policy realism without overcommitting to rigid legal frameworks. The choice to adopt a regulatory “light touch” is often framed as a way to maintain flexibility, avoid overregulation, and enable innovation. But this obscures the extent to which this posture is itself a political and economic settlement—one that reinforces Singapore’s position in the global digital economy by facilitating capital …

Bridging The Great Wall: China’S Evolving Cross-Border Data Flow Policies And Implications For Global Data Governance, Sheng Zhang, Henry S. Gao

Research Collection Yong Pung How School Of Law

Despite the rapid expansion of the digital economy, the global regulatory framework for data flows remains fragmented, with countries adopting divergent approaches shaped by their own regulatory priorities. As a key player in the Internet economy, China’s approach to cross-border data flows (CBDF) not only defines its domestic digital landscape but also influences emerging global norms. This paper takes a comprehensive view of the evolution of China’s CBDF regime, examining its development through both domestic and international lenses. Domestically, China’s regulation of CBDF has evolved from a security-first approach to one that seeks to balance security with economic development. This …

The Question Of Money: State, Protest, And Informal Currencies In The Wake Of Greece’S Economic Crisis, Helen Panagiotopoulos

Dissertations, Theses, and Capstone Projects

Monetary unions are designed to foster political, social, and economic integration among member states by enabling the free movement of people, goods, services, and capital. Yet when a member nation faces economic crisis, citizens may respond by creating monetary systems of their own. This research asks whether such practices are simply demonstrations of human resiliency and adaptability, or whether they also challenge the very idea of a shared market and currency that do not align with national identity. Greece offers a crucial case for this inquiry. Following the 2008 debt crisis, austerity measures led to economic depression, mass unemployment, and …

Wavelength And Luminance Interaction On Spatio-Temporal Contrast Sensitivity Function, Taylan S. Ergun

Dissertations, Theses, and Capstone Projects

Contrast sensitivity (CS) measures the ability to discriminate objects from their backgrounds under varying conditions(Campbell & Robson, 1968). Contrast sensitivity is important for navigating the real world and operating under different light conditions. The contrast sensitivity function (CSF) reflects how the visual system performs under different conditions. This measure is crucial in assessing the health of the visual system (Chen & Gardner, 2021). CSF contributes to a deeper understanding of how the visual system processes and integrates properties of light to create visual sensation and perception. Human contrast sensitivity depends on the viewing conditions such as field size, luminance, color, …

Large Lithium-Ion Battery Model For Secure Shared E-Bike Battery In Smart Cities, Donghui Ding, Zhao Li, Linhao Luo, Ming Jin, Bin Zhu, Yichen Zhong, Junhao Hu, Peng Cai, Huiqi Hu

Research Collection School Of Computing and Information Systems

Electric bikes powered by lithium-ion batteries are increasingly used in smart cities to promote sustainable mobility and efficient delivery services. However, limited battery range and slow plug-in charging remain key challenges. Shared electric bike battery systems, facilitated by battery swapping stations, offer a promising solution by enabling quick and efficient battery replacements. However, their success hinges on accurate anomaly detection, battery health estimation and remain range prediction. These tasks remain challenging due to data scarcity, battery diversity and environmental variability. Here we show that a large-scale lithium-ion battery model trained on over ten million battery time series data enables robust …

Blending Informing Literacy And Visual Literacy: Instructional Vignettes In Art, Architecture, And Design, Stephanie Beene, Sara Schumacher, Dana Statton Thompson, Mary Wegmann

University Libraries & Learning Sciences Faculty and Staff Publications

The ACRL Framework for Visual Literacy in Higher Education (Framework for Visual Literacy), based on empirical research into the trends, opportunities, and challenges facing the field of visual literacy in the twenty-first century,1 was codified in April 2022 and is an adaptable document to help learners grow their visual literacy competencies. In this chapter, written by four of the task force members charged with the creation of the Framework for Visual Literacy, we examine the relationship between the four themes in the Framework for Visual Literacy and the six frames of the ACRL Framework for Information Literacy for Higher Education …

Applying Artificial Intelligence And Chatbots To Enhance Collection Development In Health Sciences Libraries, Ivan Portillo, David Carson

Library Presentations, Posters, and Audiovisual Materials

The continuous advancement of artificial intelligence (AI) and large language models (LLMs) has presented several opportunities for librarians to reduce their workload and become more efficient. This session will explore the potential of generative AI chatbots in assisting health sciences librarians with collection development. Two methods that will be discussed include the potential of AI to help discover new titles and how AI can evaluate your library collection for any potential gaps based on a college program’s curriculum.

Scientific Multimodal Summarization : Integrating Knowledge Across Textual, Visual And Auditory Content, Zusheng Tan

Lingnan Theses (MPhil & PhD)

As scientific publications increasingly incorporate multimodal content, ranging from textual descriptions to figures, tables, presentation videos, and audio, there is a growing need for summarization systems that can effectively process and integrate information across these diverse modalities.

This work presents a comprehensive exploration of Scientific Multimodal Summarization, introducing a series of novel architectures and datasets aimed at advancing this emerging field. 1): We begin by introducing CMT-Sum, which integrates multimodal scientific source content (i.e., primarily paper text and figures) to generate high-quality textual summaries and identify representative graphical abstracts. We refer to this task as Scientific Multimodal Summarization with …

Robust Ai Solutions For Financial Markets Through Generative Modeling, Dynamic Graph Learning, And Reinforcement-Based Portfolio Optimization, Jingyi Gu

Dissertations

Financial markets are inherently uncertain and dynamic, driven by complex factors such as macroeconomic signals, investor sentiment, and evolving inter-asset relationships. While machine learning has advanced financial modeling, existing approaches often fall short in addressing the real-world intricacies of finance. This dissertation confronts two critical challenges, human-driven stochasticity and risk-intensive decision-making under real-world trading constraints, while seizing a pivotal opportunity, the structural dynamics of evolving financial systems. These elements are foundational to advancing robust and practical financial intelligence.

To this end, this dissertation develops a unified framework for robust financial modeling and decision-making. The framework is architected as a progressive, …

Bridging The Gap: Harnessing Emerging Technology To Narrow The Academic Achievement Gaps Of Minority Students, Dionne Williams, Terence Vinson, Kristi Young, Danielle Williams, James R. Mixon

The Journal of the Research Association of Minority Professors

The academic achievement gap of Black, Hispanic, and Native American students has historically lagged as it relates to Caucasian students. This work defines academic achievement as standardized test scores, graduation rates, and college completion rates. The persistent educational disparities faced by minority students remain a significant challenge for school systems. The integration of technology offers a promising solution to help narrow these academic achievement gaps and provide equitable learning opportunities. Technology offers educators the ability to utilize self-paced instructional programming, ensuring that the educational needs and deficiencies of minority students are addressed. This work explores how innovative technological tools, ranging …

Pipeline Vs. Choice: The Global Gender Gap In Stem Applications, Isaac Ahimbisibwe, Adam Altjmed, Georgy Artemov, Andres Barrios-Fernandez, Aspasia Bizopoulou, Martti Kaila, Jin-Tan Liu, Rigissa Megalokonomou, José Montalban, Christopher Neilson, Jintao Sun, Sebastian Otero, Xiaoyang Ye

Cowles Foundation Discussion Papers

Women account for only 35% of global STEM graduates, a share unchanged for a decade. We use administrative microdata from centralized university admissions in ten systems to deliver the first crossnational decomposition of the STEM gender gap into a pipeline gap (academic preparedness) and a choice gap (first-choice field conditional on eligibility). In deferred-acceptance platforms where eligibility is score-based, we isolate preferences from access. The pipeline gap varies widely, from -19 to +31 percentage points across education systems. By contrast, the choice gap is remarkably stable: high-scoring women are 25 percentage points less likely than men to rank STEM first.

Subsidiarity In The Shadow Of Sovereignty, Loren King

Political Science Faculty Publications

Subsidiarity frustrates. It admits of clear articulation as an ideal (‘vest authority as close as feasible to those most affected’) but then invites conflicting interpretations and elaborations. As a workable principle, subsidiarity seems to founder exactly when we need it: when we ask what, precisely, that principle regulates. As a regulative moral precept, subsidiarity promises a politics sensitive to diverse needs and responsive to local knowledge, yet in practice any implementation of the ideal pulls us back toward an authoritative center to regulate disputes and coordinate all of this local wisdom. I love subsidiarity for these frustrations and ambiguities. In …

Identifying Potentially Illicit Money Laundering And Terrorism Financing Transactions Through Machine Learning Techniques, Shiuh Tong Lim, Rou Qing Khoo, Khai Wah Khaw, Xinying Chew

International Journal of Management, Finance and Accounting

Financial institutions worldwide face significant challenges in detecting and preventing illicit financial activities, such as money laundering and terrorism financing. Traditional rule-based methods often generate high false positive rates, increasing manual verification efforts and higher operational costs. This research explores machine learning techniques to enhance the detection of suspicious transactions. Several algorithms, including K-Nearest Neighbors, Decision Tree, Random Forest, Logistic Regression, Support Vector Machine, and Naïve Bayes, are applied and evaluated using a dataset from a financial institution. After a comprehensive performance assessment, the Random Forest model is the most effective, exhibiting the highest accuracy of 0.9333 in identifying suspicious …

Factors Influencing Intention To Purchase Electric Motorcycles In Urban India, Chung Hui Ong

International Journal of Management, Finance and Accounting

This study investigates factors influencing urban Indian consumers’ electric motorcycle purchase intentions amid growing sustainable transportation demands. Building on the Technology Acceptance Model (TAM), the research integrates core constructs—Perceived Usefulness, Perceived Ease of Use, and Attitude—with two contextual variables, including Consumer Awareness and Perceived Trust. A quantitative survey was distributed via Google Forms to 153 urban residents across Indian cities, with a GPower analysis confirming adequate statistical power for regression modeling. The findings reveal that Perceived Usefulness, Attitude, and Perceived Trust significantly influence consumers’ purchase intentions, with attitude emerging as the most influential predictor. In contrast, Perceived Ease of Use …

Bridging Innovation And Security: A Bibliometric Review Of Blockchain’S Impact On Higher Educational Institution Management, Zhi Ning Koo, Bak Aun Teoh, Phern Chern Bryan Teoh

International Journal of Management, Finance and Accounting

Blockchain technology in higher education institutions (HEIs) can revolutionize academic administration by improving data security, increasing transparency, and boosting operational efficiency. However, blockchain adoption in HEIs faces technological, organizational, and regulatory challenges. A bibliometric review procedure assessed the 246 relevant studies from Scopus peer-reviewed literature on blockchain adoption’s main themes, most prominent authors, journals, and articles. The findings highlight Blockchain’s ability to streamline credential verification, automate academic processes, and reduce administrative costs. However, key barriers such as scalability limitations, interoperability issues, financial constraints, and regulatory challenges continue to hinder widespread implementation. Besides, there is a significant gap in top management …

Creepy, Invasive, And Exploitative Algorithms: A Cpm Analysis Of Users' Privacy Breakdowns And Recalibration Practices With Social Media Algorithms, Matthew J. A. Craig, Jeffrey T. Child

Human-Machine Communication

Social media content filtering algorithms can both provide desired personalized content and ads for users. However, sometimes these recommendations can resemble individual private information. How might users navigate these experiences to best manage their private information? The present exploratory study utilizes the rules- and systems-based framework of communication privacy management (CPM) theory to explore social media users’ experiences of privacy breakdowns with social media algorithms and investigates what users do in response to said breakdowns. These responses were refined using content analysis and divided into different categories of privacy breakdowns and recalibration strategies. Implications for future research surrounding human-machine communication …

The Hai-Io Model: A Framework For Understanding The Human-Ai Communication Process, Rae Francis Quilantang

Human-Machine Communication

The increasing integration of artificial intelligence (AI) into daily life calls for new theoretical frameworks that capture human-AI interaction’s dynamic, feedback-driven nature. Traditional models treat AI as a passive medium, overlooking its adaptive capabilities. This paper proposes the Human-AI Interaction Outcomes (HAI-IO) model, an interdisciplinary framework synthesizing human-machine communication, social exchange theory, dialogue systems, and computational feedback models like cybernetics and reinforcement learning. The HAI-IO model frames interaction as iterative and bidirectional—AI adapts through predictive processing while users adjust based on AI feedback. This mutual adaptation shapes trust, engagement, and system optimization. The model informs AI system design, user education, …