Digital Commons Network^™

The Moderating Effect Of Income Inequality On The Income–Emissions Relationship In G20 Countries, Zahra Rizky Fadilah, Budiasih Budiasih

Economics and Finance in Indonesia

This study analyzes the moderating effect of income inequality on the income–emissions relationship in the environmental Kuznets curve (EKC) framework. Findings indicate that the relationship is inverted U-shaped in middle-income G20 countries, but monotonically increasing in high-income G20 countries. Interestingly, income inequality moderates this relationship only in the latter group. These findings suggest that middle-income G20 countries should focus on raising income per capita to mitigate environmental degradation, while their high-income counterparts need to prioritize reducing income inequality to effectively decouple income from emissions.

Motor And Phonic Tic Severity And Its Relationship To Social, Emotional, And School Functioning In Children With Tourette Syndrome From The Caregivers’ Perspective, Courtney C. Thompson

Dissertations

Abstract

Tourette Syndrome (TS) is a neurodevelopmental disorder characterized by motor and phonic tics that is frequently associated with functional impairments. The present study examined the relationship between motor and phonic tic severity, comorbid conditions, academic accommodations, and the social, emotional, and school functioning of children with TS. Caregiver data were collected on tic severity, comorbid conditions, social, emotional, and school functioning, academic accommodations, and grades. Overall, social, emotional, and school functioning fell within the moderate range, with school functioning positively associated with social and emotional functioning. Phonic tics were linked to social functioning, whereas both motor and overall tic …

Collective Agency And Community Resilience Among Farmworkers In The Lower Rio Grande Valley, Angel Velazquez

Theses and Dissertations

This research assesses how farmworkers in the Lower Rio Grande Valley of Texas use everyday practices to build resilience and adapt to changes in their lives. I apply two interconnected theories, White’s (2017, 2019) framework of collective agency and community resilience and Castro and Sen’s (2022) framework of everyday adaptation actions, to study these practices. I conducted 19 semi-structured interviews with Latino farmworkers and professionals who work with local farmworker organizations in the Rio Grande Valley (RGV) of Texas. Interview transcripts were analyzed to determine if and how Latino farmworkers in the RGV can work towards community resilience and implement …

Information Without Rents: Mechanism Design Without Expected Utility, Ernesto Rivera Mora, Philipp Strack

Cowles Foundation Discussion Papers

We study mechanism design for a sophisticated agent with non-expected utility (EU) preferences. We show that the revelation principle holds if and only if all types are EU maximizers: if at least one type is a non-EU maximizer, randomizing over dynamic mechanisms generates a strictly larger set of implementable allocations than using static mechanisms. Moreover, dynamic stochastic mechanisms can fully extract the private information of any type who doesn’t have uniformly quasi-concave preferences without providing that type any rent. Full-surplus extraction is possible in a broad variety of non-EU environments, but impossible for types with concave preferences.

Groundwater Arsenic Contamination In The Oro Grande Wash, Dalila Boice

Electronic Theses, Projects, and Dissertations

This study investigates the distribution of naturally occurring arsenic in groundwater within the Oro Grande Wash in San Bernardino County, California. Depth-discrete groundwater quality data were collected over multiple years using nested and Westbay monitoring wells. Water quality results showed higher levels of arsenic in the deeper aquifers, ranging between 600 feet and 1,000 feet below ground surface. Arsenic levels in these regions reached as high as 66 µg/L. At roughly 800 feet and below, water quality data from the wells reveal that arsenic concentrations exceeded the 10 µg/L maximum contaminant level (MCL) in 87% of cases. These data provide …

High-School-Age Youth Serving As “Emotion Coaches” For Young Children In The Early Grades: A Feasibility Study Of A Cross-Age Approach To Social And Emotional Learning, Amanda Moreno, Maria Kontoudakis, Whitney Davis-Mcintosh, Anita Evans, Olivia Bobbitt

Journal of Youth Development

While the benefits of cross-age programming within youth have been understood for decades, such programs are rarely employed with curricula specific to social and emotional learning (SEL) or with a wide age range between the two groups of youth. This article describes the findings of a pilot implementation and feasibility study of the Emotion Coaches program, which sought to explore whether the conceptual and pragmatic challenges involved in bringing early childhood students (i.e., preschool to second grade) together with adolescent teachers delivering an SEL curriculum could be overcome. Findings from the pilot evaluation suggested that middle-school-age students are likely too …

From Principles To Protection: Leadership In Uniting Integrity And Ethics For Research Security, Seán Lacey, Tom Farrelly, Tara Doherty, Suzanne Mcmurphy, Áine De Róiste

Publications

In today's global research landscape, ensuring integrity and security is critical. The CORRIE - Collaborative Open Resources on Research Integrity and Ethics - project brought together an international, multidisciplinary, cross-jurisdictional team to develop practical principles and resources for research integrity and ethics. Using a values-driven, collaborative leadership model, the team co-created tools grounded in authenticity and accountability, establishing an actionable framework. These resources should effectively address research security, fostering a resilient, effective research culture. Through a user-informed methodology and inclusive collaboration, the project team translated principles into tangible tools reinforcing ethical conduct in daily practice. This approach ensures robust protections …

Investigating The Role Of Motivation On The Effectiveness Of Computerized Cognitive Training Among At-Risk Youth, Emely N. Lugo

Electronic Theses, Projects, and Dissertations

Student motivation plays a central role in academic success, influencing persistence, engagement, and performance across grade levels. Within situated expectancy-value theory (SEVT), motivation is shaped by students’ beliefs about their ability to succeed (expectancy), the importance or usefulness they assign to a task (value), the perceived effort or trade-offs involved (cost), and the situational context in which learning occurs. Although the link between motivation and academic performance is well known, there is limited research on how motivational factors, like those proposed by SEVT, influence the extent of cognitive gains from school-based cognitive interventions designed to improve abilities related to academic …

The Life Significance Of Summer Outdoor Program Employment During Emerging Adulthood, Austin M. Souto

All Dissertations

Seasonal employment in outdoor programs—encompassing camps, guiding services, and similar organizations—plays a vital role in delivering structured outdoor experiences, yet little research has explored its enduring effects on staff over the course of their lives. This dissertation examined the long-term significance and influence of seasonal outdoor work during emerging adulthood. Guided by Significant Life Experience and Life Course Theory, an exploratory sequential mixed-methods design was used. In the qualitative phase, interviews revealed that seasonal work influenced life trajectories by contributing to identity formation, career discovery, ways of relating to others, and the navigation of trade-offs. Seven mechanisms—opportunities for growth, connection …

Human Capital, Immigration, And Growth: A State-Level Dynamic Panel Study, William R. Cooper

Graduate Theses and Dissertations (2019 - present)

This study examines whether who immigrates, rather than how many, matters for state economic growth in the United States. It integrates a policy-relevant proxy for skill (H-1B approvals) into an augmented Solow framework that separates immigration's quantity channel from its human capital channel and estimates dynamic effects in a balanced quarterly panel of 50 states (2010 to 2023 ). The empirical strategy estimates a two-step difference GMM Arellano-Bond model that reinforces identification using a double/debiased machine learning (DML) variant that orthogonalizes high-dimensional nuisance components via cross-fitting. This design targets the distinct roles of immigrant headcount versus skill in per capita …

Modeling Flood Risks For Small-Scale Coastal Watershed Across Shared Socioeconomic Pathway Scenarios, Sebastian Loschner

Graduate Theses and Dissertations (2019 - present)

Coastal flooding, driven by the mixture of natural processes and human activities such as precipitation, waves, sea level rise, and urbanization, remains a growing concern. While recent flood-risk studies use IPCC's Shared Socioeconomic Pathways with climate projections to assess future flood exposure, smaller coastal watersheds, < 120,000 acres, remain insufficiently studied. Projected sea level rise is expected to intensify these impacts in smaller systems, potentially causing more severe flooding than reported for larger watersheds. To address this gap, this study used the SRH-2D model integrated with Aquaveo's Surface-water Modeling System to simulate flooding in the lower Fish River basin, Alabama. A coastal watershed sensitive to both riverine and tidal influences. Simulations tested different sea levels based on SSP scenarios corresponding to low, moderate, and high emissions for the years 2050 and 2100. Results indicate that the midcentury scenarios remained even in inundation extent and volume, between 9.9-10.4% compared to the 2020 baseline, the latter scenarios had a wider range in results of between 25.9-50.3% compared to the same baseline. Across scenarios, the most vulnerable and inundated areas of the smaller coastal watershed were the narrow points where upstream flow convene with downstream backwater. These findings highlight the need for futuristic location-specific flood mitigation strategies.

Information Literacy In The Artificial Intelligence Era: A Proposed Framework, Radwan Ali, Matthew L. Wilson

Communications in Information Literacy

Artificial intelligence (AI) systems and applications have become ubiquitous across daily life. While AI offers numerous positive opportunities, it also presents numerous challenges. Information literacy (IL) advocates are concerned about the risks that accompany AI systems. Given the universal reach of AI with its potential pitfalls and perils, researchers and practitioners from various fields and disciplines should inform the dialogue on AI’s development and application. A critical aspect of this dialogue comes in the form of information literacy. Our paper aims to answer the question “How can information literacy guide users in navigating and shaping artificial intelligence technologies?” by establishing …

Unmixing In Very High Spatial Resolution Hyperspectral Images, Ana C. Chavez Lopez

Open Access Theses & Dissertations

Hyperspectral Imaging (HSI) captures hundreds of contiguous narrow wavelength bands across the optical region of the electromagnetic spectrum collecting the spectral signature of materials in the field of view of the sensor enabling detailed analysis of each pixel's spectral signature. Satellite or airborne remote sensing systems often capture imagery with low to moderate spatial resolution (LMSR). At these resolutions, the measured spectral signature is a mixture of the signatures of the materials within a single pixel. This mixing of spectral information makes analysis and material identification difficult. Hyperspectral unmixing is an analysis technique that decomposes a pixel's spectrum into constituent …

From Morphology To Machine Learning And Genomics: Understanding Phenotypic Variation In Wild Ducks, Sara Gonzalez

Open Access Theses & Dissertations

Understanding the genetic underpinning and distribution of phenotypic variation within and between divergent groups is core towards shedding light into how populations diverge and adapt, as well as how hybridization breaks or builds on these scenarios; and thus, central to evolutionary biology. In wild organisms, however, quantifying and linking phenotypic traits to underlying genetic processes, like mutation, gene expression, epigenetics and allele interactions, remains challenging. This difficulty arises from the complex interplay between morphology, environment, and gene regulation, as well as the logistical barriers of collecting and standardizing large-scale data across individuals and populations. As a result, researchers are increasingly …

Physics-Guided Strategies For Enhancing Neural Networks Trained With Limited Data, Jose Guadalupe Perez Zamora

Open Access Theses & Dissertations

Deep neural networks excel at a wide range of processing tasks across various disciplines. However, the quantity and quality of data significantly impact network performance. In specialized domains, high-quality datasets are often difficult to gather, interpret, and curate for effective learning. Few-shot learning techniques, including transfer learning, data augmentation, and meta-learning, have emerged to address these constraints.

We propose three physics-guided strategies for enhancing neural networks trained with limited data: (1) combining existing models like LSTMs with Physics-Informed Neural Networks through two-branch architectures that merge their outputs, (2) deriving custom physics-informed data augmentation algorithms to expand limited datasets, and (3) …

Under Pressure: The Effects Of Stress And Cognitive Load On Interrogative Suggestibility, Claudia Cota

Open Access Theses & Dissertations

High-stakes situations, like police interrogations, can impair critical thinking due to stress and cognitive demands, making individuals more susceptible to suggestion. While much research focuses on children, young adults are also at risk for interrogative suggestibility, which can have serious legal consequences. This study experimentally manipulated stress and cognitive load to test whether both factors increase suggestibility in young adults, both independently and interactively, with the highest suggestibility among those experiencing both greater stress and cognitive demands. This was evaluated by examining both condition effects and self-reports of stress and cognitive load. College students (N = 230), aged 18 to …

Applying The Quadruple Process Model To A Measure Of Implicit Bias Towards Individuals With Alcohol Use Disorder, Erin Marie Portillo

Open Access Theses & Dissertations

Alcohol use disorders is one of the major burdens of disease, yet it remains one of the disorders with the lowest treatment prevalence. For individuals who seek treatment for their alcohol use disorder, they may experience higher levels of social disintegration, guilt, shame, and stigmatization. Stigma is a multistep process that makes way for stereotypes, prejudice, and acts of discrimination to take place. With labels such as “alcoholic” implying negative connotation and being frequently used, the fear of being stigmatized and negatively labeled often results in delayed or entirely avoided care. Research has turned to the use of implicit measures …

Synthetic Dataset For Understanding Negation In Text-Guided Image Editing, Nhat-Tan Bui

Graduate Theses and Dissertations

Negation is a fundamental linguistic concept used by humans to convey information that they do not desire. Despite this, minimal research has focused on negation within text-guided image editing. This lack of research means that vision-language models (VLMs) for image editing may struggle to understand negation, implying that they struggle to provide accurate results. One barrier to achieving human-level intelligence is the lack of a standard collection by which research into negation can be evaluated. This thesis presents the first large-scale dataset, Negative Instruction (NeIn), for studying negation within instruction-based image editing. Our dataset comprises 366,957 quintuplets, i.e., source image, …

Accepting Film: A Study On Tradition, Values Change And Continuity In Tebuireng Pesantren, Jombang, Nurman Hakim

Antropologi Indonesia

The pesantren tradition contains values that become a guide for life and become a source for the actions of santri and kiai. The values in the pesantren tradition in the form of akhlak (morals), ibadah (worship) and barokah (blessings) become an anchor for kiai and santri in responding to films that are considered products of modernity emerging from the west. In the past the act of watching and making films was rejected and considered contrary to the pesantren tradition, but slowly now films are used by pesantren to preserve the tradition itself. This article explores how values in the …

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

Morehead State Press Release Archive, 1961 to the Present

Press releases for December of 2025.

Attachment To Artificial Intelligence: Development Of The Ai Attachment Scale, Construct Validation, And The Psychological Mechanisms Of Human-Ai Attachment, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Andree Hartanto

Research Collection School of Social Sciences

Artificial intelligence (AI) systems are increasingly integrated into daily life, not only as tools but also as social partners that people may turn to for interaction and support. This raises important questions about whether, how, and why individuals form attachment-like bonds with AI, and the psychological implications of such attachments. Across five studies involving 1259 unique participants from Singapore and the U.S., the current work developed and validated the 15-item AI Attachment Scale and investigated the dispositional and motivational factors associated with attachment to AI, as well as its emotional and social outcomes. The AI Attachment Scale displayed strong psychometric …

Navigating Ai-Nature Frictions: Autonomous Vehicle Testing And Nature-Based Constraints, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

In cities, the application of Artificial Intelligence (AI) is being directed towards transforming different aspects of urban life. These applications take material form in urban spaces, with autonomous vehicles (AVs) providing a prominent example. AI systems rely on large volumes of data on their surroundings to refine the algorithms and enhance the accuracy of prediction for operational efficiency and safety. However, such algorithmic learning and execution can present challenges when dealing with the unpredictable, complex, and dynamic aspects of urban spaces. Nature is a paradigmatic example of such unpredictability, because natural phenomena usually defy consistent patterns and precise data-based modelling. …

Privately Owned Companies Dominate Renewable Energy Generation Ownership Around The World, Dyaran Bansraj, Theodor Florian Cojoianu, Xi Hu, Khaladdin Rzayev, Francisco Urzua

Research Collection College of Integrative Studies

Global sustainable finance policies are premised on publicly listed companies driving decarbonization through transparency, investor pressure, and capital market access. Analysing c. 20,000 corporate owners of renewable and fossil-fuel assets worldwide, we show the opposite: private firms own approximately 75% of global renewable generation capacity. This private dominance holds across all major technologies and regions, with listed ownership of renewable assets being the majority only in the oil & gas and technology sectors. The Paris Agreement did not alter this balance. Instead, ownership of the energy transition reflects countries' financial structures, with similar patterns observed across manufacturing, construction, and financial …

Development Of A Handy Tool For The Selection Of Urban Stormwater Best Management Practices, Aaron T. Kenny

Civil & Environmental Engineering Theses & Dissertations

The City of Norfolk, Virginia faces substantial stormwater management challenges due to shallow groundwater, tidal influence, dense urban development, and limited right-of-way. These constraints limit the applicability of many Best Management Practices (BMPs) and require the early identification of feasible practices before detailed hydrologic modeling. This thesis introduces a decision-support tool that quickly and systematically identifies and prioritizes BMPs that are both feasible and well-suited to Norfolk’s Municipal Separate Storm Sewer System (MS4) program, streamlining early-stage selection and saving time and resources.

The tool implements a two-stage methodology. First, feasibility gates are applied using catalog attributes derived from the Virginia …

The Future Is Now: Empowering Society Through Ai Literacy, Jason S. Wrench, Sanae Elmoudden

Milne Open Textbooks

Artificial Intelligence (AI) is no longer a futuristic concept—it is the reality of the present. From the algorithms shaping our social media feeds to the generative tools transforming our workplaces, AI has permeated every aspect of modern life. The Future is Now moves beyond the hype to provide a comprehensive roadmap for understanding, navigating, and shaping this technological revolution.

Demystifying the Machine

This textbook serves as a user-friendly guide to the “black box” of AI. It breaks down complex technical concepts—from machine learning and neural networks to large language models—making them accessible to students across all disciplines. By establishing a …

Developing American Indian/Alaska Native Children As Leaders In The Climate Movement, Joseph Burns, Alessandra Angelino, Danielle Heims-Waldron, Allison Empey, Jason Deen

Journal of Youth Development

American Indian/Alaska Native (AI/AN) voices are critical in the climate movement, as numerous social drivers have rendered these communities particularly vulnerable to the consequences of environmental change. In recent years, specific events, including the Dakota Access Pipeline, have galvanized AI/AN youth, who have been increasingly involved as leaders in the climate movement both in the United States and internationally. This yields a significant opportunity to promote leadership development for Indigenous youth, both through local, national, and international organizing and through curricular development to spark interests in environmental science. This review aims to discuss the role of AI/AN youth leadership in …

The Presentation Of Self In Everyday Digital Life: A Study Of Self- Disclosure And Work Environments, Mackenzie Michelle Skiff

Communication & Theatre Arts Theses

The digital age impacts individuals’ lives in many ways. One impact is how and where work is completed across many careers. The work-from-home strategy enables individuals to complete work that is not within a shared space, such as an office. With the absence of this shared space, communication practices within workplaces could be changing. Specifically, self-disclosure while working from home may differ from self-disclosure within the office or hybrid (both in office and remote) work environments. This thesis investigates whether there are differences in self-disclosure practices across three different types of contemporary work environments and offers a digital update to …

Building Rapport In Ethnoculturally Dissimilar Dyads: A Critical Grounded Theory Inquiry, Danielle E. Burton

LSU New Orleans Theses and Dissertations

Multiculturalism is not a new concept within the field of counseling. It is discussed in terms adjacent to competency, theory, and identity development. However, research indicates that students do not usually feel multiculturally-competent following their graduation from counseling programs, nor do they feel that they have adequate skills and techniques to engage diverse clientele. This critical grounded theory study examines counseling skills, dispositional factors, systemic factors, and other experiential factors used in pursuit of rapport within counseling dyads of ethnocultural dissimilarity. Semi-structured interview data was coded to reveal five themes to be used as a heuristic for further discovery. These …

Exploring Hiring Managers’ Strategies For Recruiting Diverse Educators In A Southeastern State, Keisa K. Davis Ma

Dissertations

This dissertation examined the strategies applied by hiring managers within one state in the southeastern United States to recruit diverse teachers. The purpose of the study was to explore hiring managers’ experiences and knowledge of minority teacher recruitment. The primary research question for this study was: What strategies do hiring managers in the school district under study find most effective in overcoming barriers to recruiting minority educators, and how do they measure their success? Data was collected through semi-structured interviews, and thematic coding was used to arrive at emerging themes, patterns, and perceptions. The findings revealed that while hiring managers …

The Paradox Of Discipline: Equity, Standardization, And Black Student Outcomes In Public Schools, Latricia T. Davenport

Educational Leadership & Workforce Development Theses & Dissertations

Despite efforts to address profound discipline disparities impacting Black students, the implementation of alternative disciplinary approaches like Positive Behavioral Interventions and Supports (PBIS) and Restorative Justice (RJ) has failed to eliminate significant disproportionality in school discipline. This study investigates how teachers navigate the challenges of disciplining Black students within a paradoxical school environment that juxtaposes equitable, human-centered methods with a historically rooted managerial paradigm emphasizing uniformity and zero tolerance. Drawing upon systemic racism and the concept of 'apprenticeship of observation,' this study explores how teachers' implicit biases about Black students are formed by long-held institutional norms and personal experiences. It …