Digital Commons Network^™

Memebuddy: Dialog-Style Audio Representations For Engaging Non-Visual Meme Experiences, Chirag Bhansali, Vikas Ashok, Hae-Na Lee

Computer Science Faculty Publications

Image memes are a pervasive form of online communication, widely used to convey humor, opinions, and cultural references. Prior work has explored making memes accessible to blind users, primarily through auto-generated descriptive captions. While these approaches improve comprehensibility and sometimes incorporate prosodic or emotional cues, they often fail to capture the humor, narrative structure, and contextual nuances that make memes engaging. We present MemeBuddy, a system that models memes as dialog, generating structured, multi-turn audio representations using role-based speakers. MemeBuddy reinterprets a meme as a conversation between two speakers, integrating extracted meme text with contextual knowledge implicitly inferred by a …

A Survey On Generative Ai For Detector Effects Unfolding In Particle And Nuclear Physics, Tareq Alghamdi, Tommaso Vittorini, Jitao Xu, Marco Battaglieri, Derek I. Glazier, Glòria Montaña, Giorgio Foti, Alessandro Pilloni, Nobuo Sato, Yaohang Li

Computer Science Faculty Publications

In particle and nuclear physics, “detector effects unfolding” can be viewed as a highdimensional inverse problem whose goal is to recover the true event distributions from observed experimental data corrupted by detector-induced distortions. Recent advances in generative AI have positioned data-driven and machine learning-based approaches as powerful alternatives to traditional unfolding techniques, offering superior scalability to high-dimensional data, capability of learning complex detector responses, and the ability to operate directly at the event level. We survey state-of the-art generative AI-based models for detector folding and unfolding. We review existing architectures and training strategies, and highlight recent methodological advances and open …

Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang

Computer Science Faculty Publications

The literature has witnessed an emerging interest in developing and evaluating AI agents for automated assessment of research claims in scientific papers. Existing benchmarks focus primarily on the computational aspect of this task, testing agents' ability to reproduce or replicate research outcomes when having access to the code and data. This setting, while foundational, (1) fails to capture the inconsistent availability of new data for replication as opposed to reproduction, and (2) lacks ground-truth diversity by focusing exclusively on fully reproducible or replicable papers, thereby failing to evaluate an agent's ability to identify non-replicable research. Furthermore, most benchmarks only evaluate …

Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu

Computer Science Faculty Publications

Reproducibility and replicability (R&R) are structural properties of scientific knowledge, yet existing R&R evidence remains fragmented across domains and initiatives. We present an ongoing effort to develop a centralized, cross-domain database of R&R studies that links published works to their corresponding R&R attempts and supporting assessments. Bibliographic metadata and title-based matching through scholarly indexing services identify canonical records and persistent identifiers. A heuristic, uncertainty-aware matching algorithm supports intra-source and inter-source deduplication, complemented by manual review of ambiguous cases. A unified schema accommodates heterogeneous assessment frameworks and records original studies, R&R studies, assessments, aggregated summaries, and source provenance. The database currently …

Summary Of Beaver And Iron Counties’ Water Conservation And Provisioning Strategies, Lisa Welsh, Joanna Endter-Wada, Burdette Barker, Bethany Neilson, Anna Mcentire, Melissa Stamp, Brian Steed

Reports

This report focuses on water conservation and provisioning strategies that both Beaver and Iron Counties are pursuing to help meet their citizens’ current and future water needs and to contribute to statewide water conservation efforts. It primarily relies on publicly available data from state, county, conservancy district, and city databases, plans, and documents. The purposes of this document are to provide regional context for understanding water use in Beaver and Iron Counties and to describe water conservation strategies that can influence the trajectories of their future water use. 

In both Beaver and Iron Counties, agriculture remains the primary user of …

The Influence Of Scale In Modeling Social Vulnerability And Disaster Assistance, Sina Razzaghi Asl, Oronde Drakes, Eric Tate, Samuel Brody, Wesley Highfield, Kayode Atoba

Political Science & Geography Faculty Publications

Understanding how social vulnerability relates to disaster impacts is critical for addressing social equity, yet the role of spatial scale in this relationship is often overlooked. Most studies use aggregated data, risking ecological fallacy-misinterpreting individual outcomes from group-level data. This study examines how spatial scale influences the relationship between social vulnerability and federal disaster assistance after Hurricane Harvey. Using spatial econometric models at both household and census tract levels, we assessed the strength of key vulnerability indicators in explaining disaster assistance. Results show that disability, housing tenure, household size, and income predict assistance at the household level, but their influence …

Beyond Discrete Indicators: Modeling Intersectional Flood Vulnerability, Sina Razzaghi Asl, Eric Tate, Christopher T. Emrich, Md Asif Rahman, Kaeleb Royster

Political Science & Geography Faculty Publications

Social vulnerability to flooding is shaped by intersectional social marginalization, yet most quantitative assessments employ indicators of single populations. This study applies spatial machine learning to examine how the intersectional social vulnerability indicators of poverty-race, poverty-housing tenure, and race-housing tenure compare with traditional discrete indicators of single populations in predicting flood exposure in California. Using geographically weighted random forests and partial dependence plots, we model spatial heterogeneity and non-linear relationships between social vulnerability and exposure. We quantified flood exposure using a population-adjusted measure derived from building footprints and modeled 500-year fluvial and pluvial flood hazard. The results reveal distinct explanatory …

State Of The University Annual Report - 2025-2026, Office Of The President, East Tennessee State University, University Marketing And Communication, East Tennessee State University

Office of the President State of the University Annual Report

No abstract provided.

Associations Of Blood Pressure Level And Variability With Cortical Thickness: A Cross-Sectional Analysis From The Maracaibo Aging Study, Romeo De Leon, Shana Garza, Silvia Mejia-Arango, Kristina Vatcheva, Sokratis Charisis, Claudia L. Satizabal, Luis J. Mena, Joseph H. Lee, Joseph D. Terwilliger, Eron Manusov

School of Medicine Publications

Background: Although high blood pressure (BP) level and variability are associated with Alzheimer's Disease (AD), their relationship with cortical thickness in brain regions that are associated with AD is unclear. Furthermore, the role of 24-hour BP has not been examined. We investigated the associations of office and ambulatory BP measures with cortical thickness in brain regions implicated in AD.

Methods: We performed a cross sectional analysis of 304 participants without dementia from a population-based study with office and 24-hour BP and magnetic resonance imaging (MRI) data. We considered cortical thickness values derived from 10 regions throughout the frontal, parietal, and …

Autonomous Weapons And Strategic Stability, Chick Edmond

Political Science & Geography Faculty Publications

The increasing number of artificial intelligence (AI) elements within military systems has introduced new forms of security dilemmas related to speed, level of secrecy, and transfer of responsibility from humans to machines. This article addresses the question of whether or how AI enabled autonomous weapons can lead to greater levels of strategic instability. Three causal mechanisms were determined by this study to potentially create destabilizing effects due to the introduction of autonomy; the first mechanism is a reduction in time available for decision making. The second mechanism involves the creation of multiple pathways of escalation. The third mechanism is the …

Global Evidence On Scaling Nature-Based Solutions For Compound Hazards, Sina Razzaghi Asl, Anahita Azadgar

Political Science & Geography Faculty Publications

Nature-based solutions (NbS) are increasingly promoted for climate adaptation to compound hazards, but systematic evidence of their effectiveness is still scarce. We address this gap with a systematic review of 38 studies. Each study was sorted by what its measurement design can support, not by what its authors claim. This produced four groups. Direct studies attribute a measured hazard reduction to the intervention, proxy studies infer protection from ecosystem condition, prioritization studies map suitable locations without estimating performance, and qualitative studies describe effectiveness without measuring it. We detect trends in geographic distribution, hazard combinations, intervention types, methodological approaches, and strength …

Narrating Institutional Becoming: Faith, Leadership, And Identity Reconstruction During A College-To-University Transition, Viviene H. Dyer

Dissertations

Problem

The contributions of faith-based higher education institutions to the tertiary landscape in small island developing states are insufficiently addressed in the scholarly literature. Consequently, there is limited understanding of how these institutions navigate organizational transitions and respond to capacity gaps that the public sector is unable to fill within dynamic cultural and regulatory environments. This gap is especially evident for Seventh-day Adventist institutions, whose efforts to preserve mission and identity during periods of institutional change remain underexamined and poorly documented.

Purpose

The purpose of this narrative inquiry study was to examine how university administrators influenced the development and ongoing …

Teacher Self-Efficacy Perceptions For Technology Integration And Social Media Use As Instructional Tools: Future Implications For Pedagogy In Trinidad And Tobago, Paula Edwards Sealey

Dissertations

Problem

As the educational landscape in Trinidad and Tobago evolve post COVID-19, gaining an understanding of the purpose of teachers in the implementation of national and ministerial ICT policies seem imperative. The exploration of teacher’s personal belief about their ability to effectively infuse technology and social media with their traditional teaching practices, may provide much needed insight about the role that teacher self-efficacy plays in this educational shift (Caner & Aydin, 2021; Phillip & Cain, 2015). Very few studies in the local and regional literature involve teacher self-efficacy as a variable of interest. Moreso, there has been no research to …

The Symphony Of Justice: An Intertextual Study Of Social Justice Material Between The Torah And The Psalms, Daniel Gordan

Dissertations

Do passages dealing with social justice in the Torah and the Psalms together comprise an intentionally composed grand symphony, or do they merely form an ad hoc patchwork quilt in which their echoes of similarity are mere coincidences?1 Literary interactions between the Torah and the Prophets of the Hebrew Bible have been a focus of biblical scholarship, but the intertextual connections between the legal corpus of the Torah and poetry in Psalms have not received sufficient attention. Scholars have noticed some thematic similarities, but there are no systematic studies that analyze these interactions to determine whether they involve reuse and, …

The Impact Of Culturally Diverse Student Populations On High School Mathematics Teachers’ Preparations And Practices In Southern Union Conference Of Seventh-Day Adventists, Carla Thrower

Dissertations

The Problem

Across the United States and within faith-based schools recent social and political currents have amplified tensions around culture and belonging in classrooms, particularly for students from racially, ethnically, linguistically, and socioeconomically diverse communities. Evidence indicates that when schooling practices overlook students’ cultural identities or normalize a single cultural frame, students can experience marginalization and reduced access to equitable opportunities to learn (Gay, 2018; Ladson-Billings, 1995; Milner, 2010). In mathematics, a subject often perceived as culture-neutral these dynamics may surface through curriculum choices, participation norms, and expectations that do not meaningfully connect to students’ lived experiences (Aguirre, Mayfield-Ingram, & …

Enhancing Offshore Wind Resource Assessment Through Neural Network-Based Hf Radar Data Analysis, Nikolas Martzikos, Matthew Craven, David Walker, Daniel Conley

School of Engineering, Computing and Mathematics

The increasing demand for offshore wind energy underscores the need for accurate wind speed estimation to support the design and operation of offshore wind farms. High-Frequency Radar (HFR), a widely used remote sensing technology in oceanographic research, offers promising potential for wind resource assessment, particularly in areas where conventional measurements are limited. This study explores the application of artificial neural networks (ANNs) for offshore wind speed prediction using HFR-derived data, addressing key challenges in model development and training. A key feature of this approach is the use of a decade-long dataset from the Celtic Sea, off the southwest UK coast, …

Next-Generation Virtual Environment Training For Cybersecurity In The Maritime Logistics Industry: A Position Paper, Tyler Cheng, Rory Hopcraft, Kimberly Tam, Ji-Jian Chin

School of Engineering, Computing and Mathematics

The maritime logistics industry is the most dependent on it in the modern world, yet it is not well protected against cyber risks. Recently, the maritime industry has been transitioning into industry-specific tech, and threats of cyberattacks are increasing as the adoption of technology and automation continues. One of the most effective methods to protect industries and ships from such security incidents, is to train seafarers to mitigate and handle such incidents. However, to the best of our knowledge, we did not find anything that addresses this gap. This article will present the idea and benefits of using virtual environments …

Scope 3 Carbon Emissions Assessment For Manufacturing Smes, Kourosh Halat, Stephen Childe, Nick Golding, John Summerscales

School of Engineering, Computing and Mathematics

This paper addresses the challenges facing managers of Small-andMedium-Size Enterprises (SMEs) when conducting environmental sustainability assessment at the value chain level, particularly Scope 3 Greenhouse Gases GHG) emissions. The paper investigates issues related to data availability and data quality for Scope 3 assessment and identifies dimensions of Scope 3 reliability.Utilising a series of in-depth case study analyses with SMEs in the south-west of England, UK, the paper fills a gap in supply chain sustainability research by identifying practical challenges. The findings show that SMEs encounter persistent difficulties in assessing emissions associated with purchased goods and services and downstream activities linked …

Heat Transfer From A Partially Buried Circular Cylinder In Oscillatory Flow, H. Thomas, R. Stuhlmeier, A. G.L. Borthwick, S. Michele

School of Engineering, Computing and Mathematics

With the growing abundance of man-made cylindrical structures located on or close to the seabed, it is important to be able to assess their potential environmental impact. Herein, a model is presented of the viscous-thermal boundary layer in the vicinity of a circular cylinder resting on, or partially buried in, an otherwise flat seabed. To model the influence of wave-induced motions near such a cylinder, we assume oscillatory flow in which the water particle displacements are small with respect to the cylinder radius. A perturbation expansion is utilised to derive solutions of the boundary layer equations, leading to analytical solutions …

2024 Annual Operations And Maintenance Report - 2024 Bres Annual Summary Report For Work Completed In Quadrant 4, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Building Capacity For Change At The Inter-Lakes School District: Modifying Professional Development To Support The Transformation To Competency-Based Education, Erica Pappalardo

Doctor of Education

Since 1998, the New Hampshire Department of Education has supported the integration of competency-based education (CBE), promoting a shift from traditional time-based models toward mastery-based, personalized learning. While important progress has been made through pilot programs and local innovations, full system-wide transformation remains incomplete. Many districts, including the Inter-Lakes School District (ILSD), continue to face challenges in dismantling entrenched structures and fully operationalizing CBE principles. One critical gap is the lack of a clearly defined, job-embedded professional development (PD) model that prepares educators to lead the shift to learner-centered, competency-based practices, a pathway to disrupt traditional systems. This study investigates …

Critical Success Factors For An Effective Security Risk Management Program: An Exploratory Case Study, Jason A. Williams, Humayun Zafar, Saurabh Gupta

Faculty Articles

This paper evaluates the perceived effectiveness of the security risk management (SRM) programs at a Fortune 500 firm. Layers of management and staff participated in the study. Perceived effectiveness of their SRM programs was based on nine critical success factors (CSFs). Interviews confirmed six initial CSFs (Executive Management Support, Organizational Maturity, Open Communication, Risk Management Stakeholders, Team Member Empowerment, and Holistic View of an Organization) that were extracted from the literature. They were confirmed and synthesized with three additional CSFs (Security Maintenance, Corporate Security Strategy, and Human Resource Development). Implications for SRM are discussed.

A Case Study Of California Postsecondary Faculty Collaboration On Rubric Development To Foster Student Learning, Emmanuel Kwadwo Frimpong

Dissertations

Although perceived as the ‘gold standard’ strategy for conquering complex problems, collaboration can be ignored by intellectuals who prefer to work independently. This oversight may occur even in the face of challenging problems such as assessment of scholarships, institutional effectiveness, strategizing, and even the crafting of effective rubrics for assessing student learning. The scholarly literature clearly reveals that real difficulties often refuse to respond to routine assignments or common bureaucratic patterns. Additionally, 21st century conflicts may require creative solutions involving interdependence, joining of forces and brains, or vision sharing. Effective assessment of student learning within higher education may reflect just …

An Autoethnography Of A Scholar Practitioner: Applying Social-Emotional Learning In A Math Classroom Through A Feminist Lens, Resha Layla Hissen

Antioch University Dissertations & Theses

Math anxiety occurs when individuals experience fear and stress while engaging in mathematical tasks (Lopez-Ramírez et al., 2025). While math anxiety is often examined through its impact on students, this autoethnography explores it through the lived experience of a Middle Eastern female mathematician and educator. Grounded in social-emotional learning (SEL) and feminist theory, this study investigates how personal, cultural, and gender-related experiences of mathematical trauma have shaped the author’s pedagogical approach. By tracing a personal journey from anxiety and emotional suppression to empowerment and reflective teaching, this work highlights strategies for integrating SEL and feminist-informed practices into K-12 public school …

A Systems Analysis Of Long-Term Community Recovery Following The 2023 Lāhainā Wildfire: Understanding Recovery As A Complex Adaptive Social-Ecological System, Christy Shaver

Antioch University Dissertations & Theses

No abstract provided.

Lease Capitalization And Financial Flexibility: An Empirical Investigation Of Asc 842’S Impact On Liquidity In The Us Telecommunications Industry, Caleb J. Martin

Doctor of Business Administration Dissertations

Measures of liquidity are some of the most important financial ratios to analyze when measuring a firm’s overall financial health and its ability to pay both creditors and dividends. The US telecommunications industry is an industry that has become synonymous with dividends, mergers, and acquisitions, all of which are possible due to industry wide and firm specific liquidity. With the implementation of ASC 842 and the new standard of placing operational leases on the balance sheet, additional research may be warranted to determine the effect ASC 842 may have on firm liquidity. This study investigated whether there was evidence to …

Generating Synthetic Ct From Mri Data, Foysal Ahmed

Theses and Dissertations

Magnetic resonance imaging (MRI) provides excellent soft tissue contrast without ionizing radiation, making it a strong alternative to computed tomography (CT) in medical imaging workflows. However, CT remains essential for applications requiring electron density information, such as radiation therapy treatment planning. This study investigated the feasibility of generating synthetic CT (sCT) images from MRI using a deep learning-based U-Net architecture. A two-dimensional U-Net was trained on paired MRI-CT data from the SynthRAD 2025 dataset, consisting of 120 T1-weighted (T1W) and 60 T2-weighted (T2W) axial cases, including deformed CT (dCT) aligned to MRI. Model testing used an independent dataset of 30 …

Summer Research Fellowship Project Descriptions 2026, Clark Science Center's Summer Research Fellows Program

SURF Abstracts (Women in Science)

A summary of research done by Smith College’s 2026 Summer Research Fellowship (SURF) Program participants. Ever since its 1967 start, SURF has been a cornerstone of Smith’s science education. Supervised by faculty mentor-advisors drawn from the Clark Science Center and connected to its eighteen science, mathematics, and engineering departments and programs and associated centers and units. At summer’s end, SURF participants were asked to summarize their research experiences for this publication.

Corporate Structuring, Ip Holding Companies & Bankruptcy, Ava Sheftick

Bankruptcy Research Library

(Excerpt)

There are various ways in which the founders of a company may structure their business. While a key focus of corporate planning is how to maximize revenue and operate efficiently, minimizing the risk associated with financial distress is an equally important consideration. A corporation’s structure is made during a time of stability, but it must account for the ultimate financial distress—bankruptcy. Asset allocation is a critical step in the planning stage of a business enterprise, especially when considering creditors the company is going to take on. Companies’ intellectual property ("IP") may be highly valuable assets that must be considered …

Implications Of Quantum Computing For Enterprise Cybersecurity And Data Integrity, Manikantha Varaprasad Inakollu

Computer Science and Engineering Faculty Publications

Quantum computing represents a paradigm shift in computational capabilities that poses both unprecedented threats and opportunities for enterprise cybersecurity. This research examines the implications of quantum computing advancement on current cryptographic systems, data protection mechanisms, and organizational security frameworks. Through analysis of quantum computing developments from 2019-2024 and surveys of 280 cybersecurity professionals across various industries, this study identifies critical vulnerabilities in existing encryption standards and explores emerging quantum-resistant solutions. The findings reveal that approximately 78% of enterprises remain unprepared for quantum threats, with current RSA and ECC encryption systems facing potential compromise within the next 10-15 years. The research …