Digital Commons Network^™

Remotely Assessing Foundational Skills Of 5–14-Year-Old Children: A Six-Country Psychometric Evaluation Of The Remote Assessment Of Learning (Real), Elizabeth Hentschel, Sascha Hein, Nan Li, Clay Westrope, Julia Taladay, Gillian Valentine, James Leckman, Amira Abdurahman, Fatime Bachir, Farah Darwazeh

Psychological Science Faculty Publications

Approximately 250 million children worldwide are out of school. There is growing consensus for investing in feasible, contextually appropriate, psychometrically tested, remote tools to support quality education in low-resource contexts, including low- and middle-income countries and crisis-affected contexts. Save the Children developed the Remote Assessment of Learning (ReAL) to assess 5–14-year-old children's foundational learning. Children (N = 4,840) were sampled from Cambodia, Mozambique, Niger, the occupied Palestinian territories, the Philippines, and Sudan, with an approximately equal proportion of male and female children within each country. The study assessed inter-rater reliability, factor structure, item slope and difficulty, criterion validity, …

Comparing Online Versus In-Person Administration Of Cognitive Tasks And Evaluating Their Predictive Utility Of Inattention Symptoms And Related Behaviors, Cameron Pothoven

Master's Theses

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder associated with less developed working memory (WM) processes, theorized to be a core contributing factor in the development of ADHD and a predictor of ADHD symptom severity (Alderson et al., 2013; Rapport et al., 2008). Objective measures inclusive of working memory tasks, when used in conjunction with self-report measures, have been previously shown to increase the accuracy of diagnosing ADHD (Marshal et al., 2021. However, given that WM is typically assessed by a trained clinician, it is unclear how accurate and comparable online administration of adapted WM tasks are to their in-person counterparts. …

Theory-Informed Generative Agents For Human Behavioral Modeling In Disasters, Liming Lu

All Dissertations

This dissertation develops a theory-informed generative-agent framework for modeling human behavioral decisions in disasters. Existing flood and disaster preparedness models often emphasize physical hazards, infrastructure exposure, or statistical correlations, but they struggle to capture the heterogeneous and evolving choices households make. This limitation is especially important for climate-related hazards, where future damage depends not only on changes in rainfall, inundation, and urban development, but also on decentralized protective actions such as house elevation, flood insurance, evacuation, and early preparedness. The dissertation integrates two empirical studies: a flood-risk study in Charleston, South Carolina, and a household disaster-preparedness study across hurricane contexts. …

Can Kinematics Specify Tool Use Affordances?, Tyler Duffrin

All Dissertations

Object properties such as length, shape, and heaviness, as well as affordance-based properties such as strike-with-ability and poke-with-ability, can be perceived via dynamic touch as functions of inertia tensor invariants. The primary question addressed here was whether people can perceive these same power and precision properties for purely virtual objects, which lack dynamic physical forces. The Kinematic Specification of Dynamics (KSD) principle asserts that missing dynamics are lawfully specified by kinematic (visual) motion patterns, such that kinematic information alone may support successful interactions with virtual objects. In three experiments, we investigated (1) whether virtual reality (VR) users could calibrate to …

Unlocking The Behavior Code: How Function-Based Behavior Skills Coaching Empowers Teachers And Reduces Tier Iii Referrals In Mtss, Erin C. Smith-Harrah

All Dissertations

The purpose of this study is to examine the effect of behavior skills coaching on the percentage of students receiving Tier 3 intervention at an elementary school in South Carolina using a Multi-Tiered Systems of Support (MTSS) framework. The research site for this study has experienced a significant increase in students referred for and receiving Tier 3 instruction. Whereas Tier 3 instruction typically accounts for 5% of a student population, data indicate that the percentage of students who received Tier 3 instruction at the beginning of the 2025-2026 school year at this campus was 39%, with 14% identified as students …

Technique-Level Normalization For Cybersecurity Intelligence: An Empirical Evaluation Of Att&Ck Attribution From Hids Alerts Using Fine-Tuned Transformers And Metadata Re-Ranking, Emad Sherif

International Journal of Cybersecurity Intelligence & Cybercrime

Cybercrime investigations increasingly depend on the ability to interpret large volumes of automated security events. For organizations without dedicated security operations centres, a situation common among small and medium enterprises, the manual translation of raw alerts into structured threat intelligence represents a critical bottleneck that slows investigative triage and limits cross-case comparability. This paper evaluates an automated enrichment pipeline designed to address this bottleneck by mapping security events to standardised adversary behaviour labels drawn from the MITRE ATT&CK framework, supporting both operational response and cybercrime investigation workflows. We compare three pipeline configurations, a general-purpose encoder model, a cybersecurity domain-adapted variant, …

Indigenous Community Research Opportunities, Sharon Hausam, Aaron M. Canter

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

Opportunities For Leadership In Indigenous And Tribally Engaged Research At The University Of New Mexico, Sharon Hausam

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

Predicting Student Belonging In Computing Education: A Multimodal Machine Learning Approach Using Eeg And Survey Data, Hannah Moshtaghi

Master's Theses

Measuring students’ sense of belonging, characterized by feelings of acceptance, inclusion, and encouragement from teachers, remains a significant challenge in computing education. Prior research has associated this multidimensional construct with positive academic outcomes and has identified instructors’ growth- and fixed-mindset messaging as a potential influence. However, belonging is a complex and deeply personal experience that is difficult to capture through direct observation alone. Current measurement methods rely on self-report surveys, which may not capture every aspect of an experience that can also involve emotional and cognitive responses.

This thesis investigates whether combining EEG data recorded during a belonging questionnaire with …

Impact Of Repeated Serotonin 6 Receptor Activation On Weight And Anxiety In C57bl/6j And Btbr Mice, Pedro Flores

Electronic Theses, Projects, and Dissertations

Selective Serotonin Reuptake Inhibitors (SSRI) are the most common form of medication prescribed to people with anxiety disorders. One of the most common side effects is weight gain. This weight gain often leads to the suspension of treatment. This has led to studies focusing on specific serotonin (5-HT) receptor targets for modulating depression and anxiety. Studies examining 5-HT6 antagonist treatment have shown that they reduce body weight as well as produce brain specific changes. Less is known regarding 5-HT6 receptor agonists, although previous literature has shown that exposure to high doses produces weight loss but not at lower doses, while …

The Relativity Of Education: Student Perspectives On Artificial Intelligence In Community College, Ashley Greta Magana

Electronic Theses, Projects, and Dissertations

This hermeneutic phenomenological study examined how diverse community college students experience and make meaning of the integration of generative artificial intelligence (AI) into their educational contexts. Although AI is quickly transforming higher education through automated grading, personalized learning systems, and new models of assessment, the discourse surrounding its implementation remains dominated by administrators, faculty, and institutional stakeholders, while the perspectives of students, specifically community college students who are often historically underrepresented and economically marginalized, are systematically excluded. Most existing research is quantitative and centered on universities, leaving a critical gap in qualitative understanding of the most diverse population in higher …

The Augmented Matching Law, Matias A. Avellaneda

All Graduate Theses and Dissertations, Fall 2023 to Present

Every living organism, including humans, has a finite amount of time available: 24 hours in a day, 365 days in a year, and a certain number of years in its life. At every moment, such an organism will be engaging in one of a multitude of possible activities, such as eating, sleeping, or reading this dissertation. We use the term choice to denote the way in which the organism distributes its time among all these activities, and some of these choice patterns are more beneficial to the organism than others, showcasing the importance of understanding the mechanisms underlying choice. A …

The Impact Of Early Exposure To Engineering Concepts In The Form Of Family, School Classes, And Stem Extracurriculars On The Long-Term Sense Of Belonging In Undergraduate Women In Engineering, Hannah Lloyd

All Graduate Theses and Dissertations, Fall 2023 to Present

Engineering continues to struggle with the underrepresentation of women, and many women who begin engineering programs report feeling isolated or uncertain about whether they belong. A strong sense of belonging has been linked to greater confidence, persistence, and success in engineering. This study examined how early experiences with engineering before college may influence students' sense of belonging later in their undergraduate engineering programs.

Using survey responses from undergraduate engineering students across the United States, this study explored several types of early exposure to engineering, including family influence, school-based engineering and STEM courses, extracurricular programs such as robotics clubs and engineering …

Impact Of Chronic Stress And Nutrition On Functional Connectivity And Neural Networks In Young Kichwa Children From The Ecuadorian Amazon Rainforest, Matthew L. Cook

All Graduate Theses and Dissertations, Fall 2023 to Present

Early childhood is a critical period for brain development. Positive and negative experiences during this time can have lasting effects on learning, health, and well-being. However, most research on children’s brain development has been conducted in wealthy, industrialized nations, leaving important gaps in our understanding of how children develop in other cultural and environmental contexts.

This study examined brain development in Indigenous Kichwa children living in two rural communities in the Ecuadorian Amazon Rainforest. The goal was to better understand how chronic stress and nutrition may influence a child’s developing brain during early childhood. Children participated in noninvasive brain assessments …

Affective And Cognitive Factors Contributing To Male-Female Differences In Mathematics, Sarah N. Herod

All Graduate Theses and Dissertations, Fall 2023 to Present

Math differences between men and women have been studied for several decades, with original theories suggesting a biological reason for the differences and more new ones suggesting multiple factors, such as self-efficacy, anxiety, and spatial ability, may be responsible for these apparent differences. Additionally, most research into math differences between the sexes involves the use of a composite score, rather than examining the different sub-domains of math separately. The purpose of the current study was to examine the relationship between sex and math performance within the context of an individual's belief and attitudes towards math and spatial information. Seventy-one participants …

Transnational Indigenous Environmental Justice: A Distant Comparative Study Of Nepali And U.S. Environmental Policies And Counter-Archives In Technical Communication, Shankar Paudel

Open Access Theses & Dissertations

This dissertation investigates how institutional communication, state bureaucracy, and Indigenous sovereignty intersect within Rhetoric and Writing Studies (RWS) and Technical and Professional Communication (TPC). Current TPC research increasingly focuses on social justice; however, the field still lacks ethical frameworks to deal with the complicated dynamics of transnational Indigenous Environmental Justice Communication (IEJC). This study addresses this gap by examining how two distinct Indigenous communities - the Tharus of Chitwan, Nepal, and the Ysleta del Sur Pueblo Tigua Indians of El Paso, Texas - communicatively navigate, contest, and resist state environmental policies.

Grounded in decolonial Distant Comparativism, Mestiza Consciousness, Rhetoric of …

Predictors Of Pre-Service Teachers’ Strength-Based Teaching Practices With Els (English Learners), Stephany M. Panza

Electronic Theses and Dissertations

The increasing number of English learners (ELs) in U.S. school classrooms highlights the importance of utilizing pedagogical approaches that build upon their preexisting cultural and linguistic strengths. Strength-based teaching practices, grounded in positive psychology represent a systems-levels approach to promoting positive academic and socio-emotional outcomes for ELs. In this study, a sample of 21 pre-service teachers attending Northeastern teacher preparation programs completed a series of surveys identifying their EL teaching experience, EL coursework, multicultural attitudes, and intercultural self-efficacy. These predictors were examined to determine their cumulative impact and unique contributions to an adapted Strength-Based Practices Inventory (SBPI), which captured pre-service …

The Effect Of Childcare On Female Labor Supply And Child Development In Low And Middle Income Countries, Serena Goldberg, Costas Meghir

Discussion Papers

Childcare services can offer an opportunity for women to develop their careers and increase household income. At the same time, it can affect the development of children, depending on the quality of care. We first develop a collective model of the household as a conceptual framework to show how improving the availability of childcare can affect mothers’ labor market opportunities and earnings and how it can affect child development. We then review the literature on the effects of childcare on the employment and earnings of women and on child development. Childcare can increase mothers’ employment. However, limited work opportunities or …

Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury

Dissertations

The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …

Broadening Participation In Computing: Retention Pathways For Supporting Underrepresented Students, Oluwafemi Osho

All Dissertations

The computing sector's rapid growth has intensified demand for computing professionals, yet undergraduate computer science (CS) programs continue to lose substantial numbers of students, often within the first two years, before they reach degree completion. Attrition is not evenly distributed: women and other underrepresented minority (URM) students remain less likely to persist in CS despite broader increases in enrollment. These persistent disparities suggest the need to understand not only how to broaden entry into computing but also how students' experiences within programs shape retention over time. In this dissertation, I address this critical challenge by focusing on identifying inclusive strategies …

Behind The Screen: Online Sex Buyer Networks And The Organized Criminal Promotion Of Exploitation, Ava Kamdem, Vanessa Bouché, Ben Silver, Nick Freeman, Justin Euteneier

Dignity: A Journal of Analysis of Exploitation and Violence

This study investigates the extent to which online sex buyer communities in the United States function as organized criminal networks pursuant to the United Nations Convention against Transnational Organized Crime’s definition of organized criminal groups. Drawing from theories of organized crime, social network analysis, and digital ecosystems, we conceptualize sex buyers not as isolated actors but as participants in coordinated, mutually reinforcing networks that share information to facilitate exploitation, mitigate risk, and sustain criminal behavior. To test this framework, we scraped over 1.2 million posts from a publicly accessible sex buyer forum, comprising 72,974 unique users and nearly 800,000 direct …

Dynamics Of High-Growth Young Firms And The Role Of Venture Capitalists, Yoshiki Ando

Research Collection School Of Economics

Motivated by the substantial growth and upfront investments of venture capital (VC)-backed firms observed in administrative US Census data, this study develops a life-cycle firm dynamics model. In the model, startups choose the source of financing from VC, angel investors, or banks, depending on their growth potential, and invest in innovation. The calibrated model explains the life-cycle dynamics of firms with different sources of financing and suggests that venture capitalists' managerial advice accounts for around 22% of the growth in VC-backed firms. A counterfactual economy without VC financing would experience an aggregate consumption loss of around 0.46%.

Semiparametric Cointegrating Rank Selection For Curved Cross-Section Time Series, Peter C. B. Phillips

Research Collection School Of Economics

Cointegrating rank selection is studied in a function space reduced rank regression where the data are time series of cross-section curves. Consistent cointegrating rank estimation is developed using information criteria extended to curve time series environments. The asymptotic theory involves two-parameter Gaussian processes that generalise the standard limit processes involved in cointegrating regressions. Simulations provide evidence of the effectiveness of consistent rank selection by the BIC criterion and the tendency of AIC to overestimate order as in standard lag order selection in autoregression, as well as in reduced rank regression with multiple time series.

Marital Stability And Intrahousehold Inequality, Tomoki Fujii, Xirong Lin, Jacob Penglase

Research Collection School Of Economics

We study what predicts marital instability using a unique dataset from Japan with detailed measures of spouses’ consumption, savings, labor supply, satisfaction, and marriage-market conditions. We combine descriptive survival and event-study analyses with several econometric and machine-learning approaches, including Cox proportional-hazards models and DynForest, a method designed for survival data with time-varying covariates. Across these approaches, match quality, household resources, time use, stated satisfaction, and marriage-market conditions all contain predictive information. Our main contribution is to show that intrahousehold consumption allocation matters, highlighting information that is missed by standard demographic, time use, and income measures. We relate these findings to …

Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …

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

Morehead State Press Release Archive, 1961 to the Present

Press releases for August of 2026.

The Impact Of State Insulin Copayment Caps On Diabetics In The United States, Ryan C. Meyer

All Theses

Insulin is a life-saving medication for people with diabetes that helps regulate blood glucose levels throughout the body. A Type 1 diabetic cannot survive without insulin, and a Type 2 diabetic’s quality of life greatly diminishes without access and use of this drug. Currently, many diabetics skip, ration, or abstain from insulin due to financial barriers. As of June 2026, 29 states have enacted insulin copayment caps for state-regulated commercial health insurance plans to reduce the financial burden of insulin costs. This study examines the impact of these caps on all commercially insured diabetics in the United States, particularly on …

What Makes A Cozy Game Cozy? Looking Through The Lens Of Feminism And 4e Cognition, Mary Catherine M. Wilcox

All Theses

Why do some games feel cozy, and others miss the mark, even if they are tricked out in bright colors and festooned with bows? This thesis examines the emerging genre of “cozy games” to better understand why some titles successfully evoke comfort and relaxation while others fail, despite relying on conventionally cute aesthetics or farming-sim mechanics. Although cozy games have grown rapidly in popularity over the past decade, the genre remains under-studied and is often dismissed as frivolous, reflecting the broader historical devaluation of media associated with women. Accordingly, this study argues that understanding cozy games requires examining women’s relationship …

When The Best-Fit Model Is Not Best: The Glass Slipper Fallacy And Latent Growth Mixture Modelling, Jonathan L. Chia, Markus Wettstein, Andree Hartanto

Research Collection School of Social Sciences

Despite the use of latent growth mixture modelling (LGMM) to study longitudinal changes, existing practices may inadvertently impede this very investigation. Although subgroup trajectories may theoretically differ in their structure (e.g., some subgroups being linear, some curvilinear), the current convention advocates overreliance on the baseline model to derive subsequent profile trajectories, which may obscure these structural differences. In this article, we provide a brief description of extant LGMM practices, after which we explicate the pitfalls of the current approach. Finally, we provide a principled approach for LGMM research moving forward. Specifically, we recommend specifying a set of theoretically plausible models …

Artificial Intelligence (Ai) In Forensic Psychology: An Umbrella Review Of Potentials And Pitfalls, Ysabel Thereze Ang Guevarra, Nur Eva Alisha Binte Mohamed Hisham, Andree Hartanto

Research Collection School of Social Sciences

Artificial intelligence (AI) is becoming increasingly embedded within forensic psychological practice, shaping how criminal risk, legal responsibility and public safety are assessed. AI tools are now used in recidivism prediction, behavioural analysis, deception detection and investigative support, high-stakes domains where errors can have profound consequences. Despite this rapid adoption, the existing literature remains fragmented, with most reviews confined to narrow subdomains and offering limited integrated synthesis of AI′s broader role in forensic psychology. Thus, this umbrella review addresses this gap by synthesising findings from 43 reviews obtained from five major databases, namely EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus and Web …