Digital Commons Network^™

Automated Video Colorization Techniques For Enhanced Visual Realism And Computational Efficiency, Zahoor M. Aydam, Nidhal K. El Abbadi

Mesopotamian Journal of Computer Science

Automatic video colorization remains a challenging computer vision task, particularly when ensuring semantic accuracy and temporal coherence across dynamic, multi-scene content. Existing methods often rely on a single fixed reference image, which fails to adapt to abrupt scene changes or variations in lighting and texture. This study presents a hybrid deep learning framework that dynamically selects multiple reference images per scene using adaptive thresholds derived from the Structural Similarity Index Measure (SSIM) and deep features extracted via a ResNet50 backbone with Generalized Mean Pooling (GeM). The framework integrates three specialized modules pre-processing, reference image processing, and attention-based colorization—operating in the …

Lightweight Deep Reinforcement Learning Model For Energy-Efficient Resource Allocation In Edge Computing, Ghassan A. Abed, Mohanad A. Al-Askari

Mesopotamian Journal of Computer Science

A lightweight digital twin model for a single 6G cell operating in the D-band (140 GHz) with a 1 GHz bandwidth is presented in this work with the goal of assessing the cell's capacity, coverage, and terminal time in order to support extended reality (XR) applications. With a tangent dispersion of 3 dB and a path exponent of n = 2.2, the model is based on the free-space loss equation as per ITU-R Recommendation P.525. The instantaneous capacity is determined using the Shannon-Hartley theorem. Three XR sessions are created every minute using a Poisson method, and their durations are determined …

Diabetes At A Glance: Assessing Ai Strategies For Early Diabetes Detection And Intervention Via A Mobile App, Ayad Hameed Mousa, Ibrahim Oday Alrubaye, Mayameen S. Kadhim, Ahmed Dheyaa Radhi, Mudatheer M. Al-Slivani, Rusul Mansoor Al-Amri, Liaw Geok Pheng

Mesopotamian Journal of Computer Science

Diabetes is a widespread disease worldwide that does not differentiate between children and adults. It also affects the elderly and pregnant women. However, early detection of the disease facilitates its control to avoid the effects resulting from delayed diagnosis. With the emergence of artificial intelligence represented by machine learning techniques and its use in most sectors, accordingly, the adoption of machine learning techniques to help in disease prediction has become a necessity. This study proposes a machine learning algorithm-based approach for diabetes prediction. This study uses three datasets, two of which are private and the other includes the Pima Indians …

Challenges Of The Opposition In Cameroon Multipartism, Chick Edmond, Nkenglefack Dessailly Forku

Political Science & Geography Faculty Publications

The main goal of this study was to explore the challenges faced by Cameroon opposition political parties and how these challenges affect presidential electoral outcomes since 1990. We employed both qualitative and quantitative methods to collect data for the study. The research design was the case study design, and the sampling technique was nonprobability sampling (precisely purposeful sampling). We employed the constructivist research philosophy to show that reality resides in the different views of people. Consequently, it finds out that the opposition in Cameroon lacks credibility and vision to achieve victory in presidential elections. They also face challenges of suppression, …

Bioaccumulation Of Legacy And Novel Pfas In The Environment, Hesham Taher, Rainer Lohmann

Graduate School of Oceanography Faculty Publications

The bioaccumulation of per- and polyfluoroalkyl substances (PFAS), both legacy and novel, in the environment presents significant ecological and health risks. PFAS are a diverse group of synthetic chemicals known for their persistence and bioaccumulation, which can cause widespread environmental contamination and health risks. Strong carbon-fluorine bonds give these compounds unparalleled stability, preventing them from degrading and enabling them to endure in a range of environmental matrices, including water, soil, and biota. Legacy PFAS, including perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS), have been extensively studied and regulated, resulting in lower concentrations in some environmental media. However, novel PFAS, …

Furthering The Capabilities Of Diffusive-Gradient Passive Samplers For Per- And Polyfluoroalkyl Substances, Jarod Snook, Jitka Becanova, Simon Vojta, Rainer Lohmann

Graduate School of Oceanography Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) are chemical pollutants of growing concern for many stakeholders. Due to their ubiquity, persistence in the environment, and potential for toxicity at low environmental concentrations, it is necessary to have convenient and reliable methods to measure PFAS in natural waters. Passive sampling methods (in situ preconcentration of PFAS) may be suitable for monitoring situations. One passive sampling design successfully employed for other, well studied contaminants (e.g., methylmercury) is the diffusive gradient in thin film sampler (DGT). However, the application of DGT for PFAS requires development and validation. Here, we iterate on previous PFAS-DGT studies by …

Corporate ‘Capture Strategies’ Impacting Human And Ecosystem Health, Alex T. Ford, Marlene Ågerstrand, Michael G. Bertram, Miriam L. Diamond, Rainer Lohmann, Andreas Schäffer, Martin Scheringer, Gabriel Sigmund, Anna Soehl, Maria Clara V.M. Starling, Noriyuki Suzuki, Marta Venier, Penny Vlahos

Graduate School of Oceanography Faculty Publications

The concept of regulatory capture has been extensively studied in academic literature, primarily within the social sciences. This phenomenon has been increasingly discussed in the environmental sciences as the impacts of regulatory capture on human and ecosystem health have become increasingly apparent. Regulatory capture is just one tactic employed by vested interests in the strategy of delaying, weakening, or abolishing policies designed to protect the public interest. Here, we define capture strategies as ‘the act of influencing individuals, organizations, or governments to prioritize corporate interests over those of human and ecosystem health’. Similar to the evolution of terms like whitewashing …

State Of The University Annual Report - 2024-2025, 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.

Disability Awareness And Inclusion, Claudia C. Gonzalez, Raquel C. Vasquez, Bruce J. Reed

School of Rehabilitation Services & Counseling Faculty Publications

The Centers for Disease Control and Prevention (2021) reported an increase in the prevalence of persons with disabilities affecting one in four people in the United States. Disability awareness and inclusion describe how a combination of understanding, acknowledgment, compassion, and acceptance can allow persons with disability the same opportunities as those without disabilities. This can be seen with the increase in persons with a disability graduating from postsecondary institutions, about 14% from 2012 to 2022 of persons over 25. This chapter covers foundational material regarding disability awareness and inclusion, including the prevalence of disability in general and in educational settings, …

2025-2026 Craft Academy Student Handbook, Morehead State University. Office Of Communications & Marketing.

Communications and Marketing Publications Archive

The 2025-2026 Craft Academy Student Handbook.

Examining Our Practice: Engaging In A Faculty Learning Community To Enhance An Online Graduate Program, Regina Rahimi, Lina Soares, Hui Jin

Middle Grades & Secondary Education: Faculty Publications

This research report details a faculty learning community (FLC) developed by three faculty teaching in a graduate program in a mid-size southern university. The purpose of the research was to engage in the study of best practices for online graduate courses by engaging in collaborative discussions on common texts related to improving the teaching and learning experience. Specifically, the faculty engaged in common readings on “small teaching practices” and reflected on the knowledge gleaned and how it related to current online teaching practices (Darby & Lang, 2019; Lang, 2016). The study further explored how an FLC helped higher education instructors …

Enhancing Throughput In A Network Function Virtualization Environment Via The Manta Ray Foraging Optimization Algorithm, Sanaa S. Alwan, Asia Ali Salman

Mesopotamian Journal of Big Data

Network function virtualization (NFV) has emerged as a transformative paradigm in which traditional hardware appliances are replaced with virtual network functions (VNFs) running on commodity hardware. While NFV offers scalability and flexibility, it faces major challenges in sustaining high throughput and minimizing resource overhead under dynamic traffic conditions. In particular, flooding algorithm-based request propagation often leads to excessive redundancy, congestion, and resource waste. To address this limitation, this study applies Manta ray foraging optimization (MRFO), a swarm intelligence algorithm inspired by natural foraging behaviors, to optimize packet routing and resource allocation in NFV environments. The research employs a Barabási–Albert (BA) …

Retinal Vessel Image Segmentation Based On Guided Filter And Neural Networks, Ibrahem Al-Jadir, Jawad S. Hameed, Husam Yahya, Dalia N. Al-Oboudi

Mesopotamian Journal of Artificial Intelligence in Healthcare

Accurate segmentation of retinal blood vessels is essential for the early diagnosis and monitoring of various ophthalmic and systemic diseases. This work shows how to use a modified U-Net architecture to improve how retinal blood vessels are segmented. The method uses rolling guidance filters with two different sets of parameters to make the edges of the vessels sharper and make it easier to tell them apart. Separate U-Net models process each filtered image independently, and then the outputs are combined to make the final segmentation result. Both networks are trained at the same time using a shared loss function. Tests …

Developing The Leadership Competency Of Critical Thinking In College Students: A Quasi-Experimental Mixed Methods Study At A Small Christian College, Norberto Restrepo

Dissertations

Our world of constant change and complex challenges requires citizens who know how to exercise higher-order thinking skills, and individuals who have developed their metacognitive abilities to a higher extent are better prepared to perform effectively as leaders. This quasi-experimental mixed methods study employed a pre and posttest design to determine whether the critical thinking skills of students at Hartland College could be improved over the course of a one quarter ten week term through the use of biblical worldview instructional approaches such as biblical worldview development, faith learning integration, and deep Bible study that had critical thinking activities embedded …

Wave Power Extraction From A U-Shaped Oscillating Water Column Consisting Of A Flexible Bottom-Standing Front Wall, Siming Zheng, Haojie Zheng, Simone Michele, Guixun Zhu, Yeaw Chu Lee, Deborah Greaves

School of Engineering, Computing and Mathematics

In this paper, the concept of a U-shaped oscillating water column (UOWC) device consisting of a flexible bottom-standing front wall is proposed. The deflection of the flexible wall could bring benefits for wave power absorption. To evaluate the hydrodynamic performance and predict the wave power absorption of the flexible UOWC, a theoretical model based on the linear potential flow theory and the Galerkin approximation method is developed. For some examined flexible UOWCs, three peaks of the frequency response of the maximum wave power capture efficiency are observed, in which two are related to the resonant frequencies of the oscillating water …

On The Frontline: Stop The Bleed© Training For School Staff, Mary Michaela Hinson

Doctor of Nursing Practice Projects

The American College of Surgeons’ Stop the Bleed© course was introduced in 2015 following an outcry from the community surrounding the Sandy Hook Elementary School shooting. The Stop the Bleed© course was developed as a tool for training that any person could participate in, despite their medical background or knowledge. The course is comprised of a 30-minute didactic portion followed by a 30-minute hands-on portion where participants can practice applying tourniquets, packing a wound, and applying manual pressure. This DNP project aimed to educate school staff in a high school located in North Carolina on Stop the Bleed© in an …

Data Privacy Regulations In The Gaming Industry: A Comparative Analysis Of Singapore, Macau, And Japan, Miloslava Plachkinova

Faculty Articles

This study explores the relatively under-researched area of comparing data privacy regulations and best practices across different countries, with a focus on the gaming industry. It provides an overview of general data privacy principles and existing global regulations, analyzing how gaming operators leverage personal data for competitive advantage. Specifically, the research examines the data privacy approaches and regulatory requirements in Singapore, Macau, and Japan, highlighting the cultural and historical contexts influencing these regulations. Through a comparative analysis, the article discusses the compliance needs for gaming operators in these jurisdictions.

Including Individuals' Sense Of Self In Digital Information Privacy, Peter N. Meso, Solomon Negash, Humayun Zafar, Gurpreet Dhillon

Faculty Articles

The nature of contemporary digital ecosystems causes concerns that affect the person, the individual-self, an integral part of an individual’s information privacy calculus and hence a component of individuals’ Information Privacy Concerns (IPC). Yet, prior IPC models overlook self-focused concerns. This study articulates two constructs, termed “loss of autonomy” (i.e., autonomy) and “control over profiling” (i.e., profiling), that reflect individuals’ self-focused privacy concerns. Combining these new constructs with conventional IPC constructs that capture data-focused and device-focused concerns yields an IPC model made up of three dimensions: self-focused concerns, data-focused concerns, and device-focused concerns. The authors first develop instrument items for …

Relationship Between Financial Literacy And Financial Behavior Among Seventh-Day Adventist Full-Time Pastors In The North American Division Of The Seventh-Day Adventist Church, Edwin G. Romero

Dissertations

Problem

This investigation intended to examine the relationship between the financial literacy components of full-time pastors and their financial behavior components. Many pastors struggle with their finances and often retire unprepared due to having inaccurate or incomplete knowledge of relevant financial information and planning strategies.

Method

This study adopted a quantitative, descriptive, and correlational approach to investigate the financial and demographic characteristics of pastors. The questionnaire completed by participants was the financial literacy questionnaire developed by Stella et al. (2020), which helped measure general financial literacy among full-time pastors, and the Financial Management Behavior Scale (FMBS) developed by Xiao (2008) …

Assessment Of The Level Of Relevancy Of Theological Education In The Chinese Context, Jacky Yeung

Dissertations

Problem

The contextualization of theological education has been a topic of academic discussion for many years with scholars exploring various angles related to this subject. Despite the ongoing need for contextualized theological education, an assessment of its relevancy in the Chinese setting has not been extensively studied. This dissertation aims to fill this research gap by assessing the relevancy of Adventist theological education in China and providing recommendations for improvement.

Method

The study employs a mixed-method approach, combining both quantitative and qualitative research methods to gain a comprehensive understanding of the issue. The quantitative stage involves a survey administered to …

Talk Like An Egyptian: Egyptian Influence And Appropriation In The Book Of Exodus, Dorian W. Alexander

Dissertations

Problem

It is an inarguable truth that ancient Egypt has left a legacy upon world culture. However, the one area of Egyptian influence and legacy that remains to be studied in greater scholarship is the Bible. While many have made observations in effort to detract from and even outrightly refute any Egyptian influence on the Bible, one merely need read through any number of passages in the Bible (particularly the Old Testament) to witness just how large of an imprint is made upon it by ancient Egypt.

Method

Within just the limits of the book of Exodus alone, one finds …

2025 Conference Program, Georgia Southern University

SoTL Commons Conference

2025 Conference Program

A Biogeochemical Perspective On Acidification And Buffering Capacity In The Piscataqua Estuary, Sanjana Varanasi

Master's Theses and Capstones

Coastal acidification is influenced not only by rising atmospheric CO2 and river-ocean mixing, but also by metabolic processes that alter seawater carbonate chemistry and buffering capacity. This study examines how sedimentary biogeochemical processes contribute to carbonate system variability in the Piscataqua Estuary, a tidally dynamic channel connecting Great Bay to the Gulf of Maine. The biogeochemical processes considered include sedimentary aerobic respiration, denitrification, sulfate reduction, and carbonate dissolution or precipitation. Two incubation experiments were conducted in September and October of 2024 at the University of New Hampshire’s Coastal Marine Laboratory (CML) to quantify changes in pH, dissolved inorganic carbon (DIC), …

Replicating Attention-Deficit/Hyperactivity Disorder (Adhd) Behavioral Profiles In School-Age Children: A Multi-Informant Investigation Of Emotional, Behavioral, And Cognitive Functioning, Tarah K. Todd Mrs.

Electronic Theses and Dissertations

Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder characterized by difficulties with attention, behavioral regulation, and impulsivity. Traditional diagnostic methods rely on categorical subtypes, often failing to capture the substantial heterogeneity observed across children with ADHD. As a result, there is growing support for data-driven, person-centered approaches that identify naturally occurring behavioral profiles rather than relying solely on categorical subtypes.

The present study sought to replicate previously identified ADHD-related behavioral profiles using contemporary clinical measures. BASC-3 Parent Rating Scale (PRS) data served as the foundation for replication of behavioral profiles, and then these profiles were examined across teacher ratings, executive-function …

Is It Getting Better? An Evaluation Of Two Successive Generations Of Chatgpt In Answering Specialized Vascular Surgery Questions, Dongjin Suh, Quang Le, Leana Dogbe, Kedar Lavingia, Michael Amendola

Department Surgery Faculty Publications

Purpose: Large language models (LLMs) can generate clinically relevant text; however, their performance in highly specialized medical domains remains uncertain. This study evaluated ChatGPT-3.5 and ChatGPT-4 (OpenAI) using vascular surgery board–style questions from the Vascular Education and Self-Assessment Program, version 4 (VESAP4) and compared the two public model versions (June and November 2023).

Materials and Methods: All non-image VESAP4 questions (n=384) were presented independently three times to each model version (ChatGPT-3.5 June/November; ChatGPT-4, June/November). Outcomes included accuracy (proportion correct), consistency (same option letter across all three attempts and “consistently correct”), explanation length (word count), and modes of failure classified for …

Implementing A New High-Quality Math Curriculum, Mitchelle Wambua, Maia Elkana

Institute for School Partnership: Research & Publications

The process of adopting and implementing a new, high-quality mathematics curriculum (HQMC) can beboth exciting and challenging. A HQMC is one that provides coherent and standards-based mathematical concepts within and across grades while also providing authentic opportunities and teacher guidance for supporting students to engage in the processes of problem solving, mathematics reasoning, communication, connections, and representations. Selecting such a curricular resource on its own does not guarantee high-quality teaching and learning. The benefits of a HQMC are achieved through a successful implementation process which has both benefits and challenges. How teachers interpret and enact the curriculum matters, and how …

Enhancing Gender-Responsiveness In Agriculture, Aquatic, And Natural Resources (Aanr) Through Gender-Analysis Framework And Monitoring And Evaluation (Game) Tools, Blesshe L. Querijero, Lei A. Pangilinan-Jamolin, Anne Margarette M. Balog, Jane M. Bahil

Journal Article

Gender issues are still observed in the Agriculture, Aquatic, and Natural Resources (AANR) Sector. There have been several programs and initiatives that aimed to address challenges related to gender, however, traditional gender norms greatly influence Filipinos. To continuously address these issues, the DOST- PCAARRD funded a two-year project entitled Gender analysis framework and monitoring and evaluation tools in gender-responsive AANR development projects (GAME tools in AANR), with UPLB as the implementing agency. It started in June 2022 and ended in May 2024. The project aimed to promote gender- responsiveness in the AANR sectors by creating a guidebook for the AANR …

The Petrology And Geochemistry Of The Montagna Grande-Monte Gibele Trachytic Shield Volcano (Pantelleria, Italy)., John C. White, Ray Macdonald, Pierangelo Romano, Boguslaw Baginski, Silvio G. Rotolo, Beata Marciniak-Maliszewska, Alessandra Cinquegrani

EKU Faculty and Staff Scholarship

The 45.7 ± 1.0 ka (2σ) eruption of the compositionally zoned (comenditic trachyte to pantellerite) Green Tuff ignimbrite on the volcanic island of Pantelleria, Italy, was followed by the extrusion of a series of post-caldera metaluminous to mildly peralkaline trachyte lavas between 26.2 ± 2.0 and 22.3 ± 2.9 ka (2σ). This study uses whole-rock major- and trace-element compositions, mineral compositions, geothermobarometry, and petrogenetic models to examine the role of trachytes in the evolution of the Pantelleria magma system. Although previous studies have suggested that all of these units are consanguineous and form a liquid line of descent (LLOD) from …

Biomarkers In Coronary Artery Disease: Systematic Review And Meta-Analysis, Nicola King, Neil A. Smart, Theodore Bungon, Martin Peacock, Shakil A. Awan

Faculty of Science and Engineering Datasets

Little information exists regarding the detection of early coronary heart disease protein biomarkers. The aim of this study was to investigate several potential candidates. Systematic review was carried out followed by meta-analysis. The standardized mean difference (95% confidence intervals) for each comparison was: Troponins 2.31 (1.18, 3.4), iL-6 1.3 (0.8, 1.81), fibrinogen 1.55 (1.16, 1.94), NT-proBNP 1.05 (0.72, 1.38), lipoprotein a 0.75 (0.48, 1.03) osteoprotegerin 0.92 (0.23, 1.62), VCAM-1 1.53 (0.87, 2.18), pentraxin 3 0.87 (−0.13, 1.87), PAI-1 2.51 (−0.65, 5.66) MMP9 1.25 (0.36, 2.14), MCP-1 1.99 (1.12, 2.85) and adiponectin −1.11 (−1.49, −0.73). Multiple biomarkers that could potentially be …

Quantum-Resilient Architectures For Enterprise And Cloud Information Systems, Implications Of Quantum Computing For Enterprise Cybersecurity And Data Integrity, Manikantha Varaprasad Inakollu

Computer Science and Engineering Faculty Publications

The emergence of quantum computing presents unprecedented challenges to contemporary enterprise cybersecurity frameworks. Current cryptographic systems that protect sensitive data and secure communications will become vulnerable to quantum attacks within the next decade. This research examines the implications of quantum computing advancement for enterprise and cloud information systems, proposing quantum-resilient architectural frameworks that can withstand both classical and quantum threats. We analyze the timeline of quantum computing development, assess vulnerabilities in existing enterprise security infrastructures, and evaluate post-quantum cryptographic approaches suitable for organizational implementation. Through comparative analysis of quantum-resistant algorithms and architectural patterns, this study demonstrates that enterprises must begin …