Digital Commons Network^™

Trends In The Utilization Of Metaverse Technology In Media Content Production:A Second-Level Study Of The Arab Experience, Amal Nabil Badr, Tarek Ismail Mohamed, Nassereldin Abdel Qadir Osman

Journal of Arts and Social Sciences

The research problem is defined through a main question: How did Arab studies discuss the interactions of the Arab media experience with metaverse technology and supporting tools, the limits and levels of current and future use of this technology in Arab media institutions, and how did the quantitative and qualitative trends in these studies reflect the applied aspect in using metaverse technology and related tools in media content industry? The research relies on the secondary analysis methodology of the results reached by studies that dealt with the analysis of A sample of (30 studies) from 2015 until 2023. The results …

Diagnostic Delays In Endometriosis Among Reproductive-Aged Women: An Evidence-Based Primary Care Policy Proposal, Francis P. Ronayne

Capstones

No abstract provided.

Toward Mapping Multiphase Multicomponent Mixtures With Neural Networks, Kristen L. Hallas, Melissa De Jesus, Christine J. Wu, Jianzhi Li, Jason Bernstein, Philip C. Myint

School of Mathematical & Statistical Sciences Faculty Publications

Equation of state (EOS) tables are commonly used in hydrodynamic simulations of high-pressure, high-temperature phenomena in fields like planetary science, astrophysics, and high-energy-density science. However, generating and storing EOS tables for multiphase, multicomponent mixtures over a wide range of pressures and temperatures is computationally infeasible due to their memory-intensive nature. To address this issue, we have developed a neural network-based machine learning model to predict new EOS tables for binary mixtures. In particular, a deep feedforward neural network trained on a set of ten EOS tables at particular mixture compositions is able to predict nine new (hold-out) EOS tables at …

Sustainable – Low-Cost - Upgrade Of Activated Sludge Process For Nitrogen And Phosphorus (N&P) Removal From Wastewater, Abanoub N. Basta

Theses and Dissertations

Many municipal wastewater treatment plants (WWTPs) in developing countries were designed primarily for organic matter and suspended solids removal and therefore face increasing difficulty in meeting modern nitrogen (N) and phosphorus (P) discharge requirements. Conventional biological nutrient removal upgrades commonly require additional reactor volume, recirculation systems, aeration energy, and capital investment. Accordingly, sustainable retrofit strategies that improve nutrient removal within existing treatment footprints are increasingly needed, particularly in water-scarce and land-constrained regions.

This study investigated the integration of water hyacinth (Eichhornia crassipes) into the aeration stage of an activated sludge process as a hybrid nature-based enhancement for nitrogen and phosphorus …

Nourishing Births: A Program Evaluation Proposal For Community-Based Nutrition Education, Food Access, And Garden Engagement Among Black Birthing People, Naa Deedei-Vera Hammond

Master's Projects and Capstones

Black birthing people in the United States continue to experience unequal maternal health outcomes, shaped in part by racism and barriers to nutritious food, culturally relevant health education, and supportive community spaces. While prenatal nutrition education and food assistance programs can provide important resources, information alone cannot address the challenges many people face when trying to access healthy and affordable food during pregnancy. The Nourishing Births Initiative is a proposed community-based maternal health program designed to respond to these needs by bringing together prenatal nutrition education, help connecting to food resources, community gardening, and peer support for Black birthing people …

Impact Of Implementing Standard Wound Care Guidelines For Patients In The Home Care Setting On Patient Outcomes, Raymond Anthony Flores Jr

Doctor of Nursing Practice (DNP) Projects

Wound care is among the most significant public health concerns, affecting millions of people worldwide. Most individuals with wounds end up self-managing their condition from their homes due to being discharged early from the hospital, owing to various reasons, and the costs associated with health care. Although home wound management offers convenience and lower costs for patients, it is also associated with substantial challenges, including limited access to and use of appropriate care protocols, wound management tools, and sufficient education on the topic, as well as limited professional advice. These limitations contribute to poor outcomes, including slow healing rates, infections, …

Is Your Cyst Really A Ganglion Cyst? A Case Report Of Angioleiomyoma Mimicking A Plantar Fascia Cystic Lesion, Christopher Anjorin Ms Dpmc, Joseph Bender Dpm

School of Podiatric Medicine - Student Research

Ganglion cysts are among the most common benign soft tissue masses encountered in podiatric clinical practice, and their diagnosis is often presumed based on location, clinical observation, and transillumination. However, this case highlights a diagnostic idiosyncrasy: a lesion clinically presumed to be a ganglion cyst within the plantar fascia was ultimately identified as an angioleiomyoma following surgical excision and histopathological evaluation. This finding underscores the importance of maintaining a broad differential diagnosis when assessing cystic lesions, particularly those that transilluminate, as benign vascular tumors may closely mimic more common entities in both clinical presentation and imaging. More importantly, what if …

Deep Brain Stimulation In Early-Stage Alzheimer's Disease: A Systematic Review Of Neuropsychological Outcomes, Nora Huey

Doctoral Dissertations

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory impairment, and disruption of neural networks involved in cognitive functioning. Although existing treatments may provide symptomatic benefit, there remains a need for interventions capable of slowing or stabilizing disease progression. Deep brain stimulation (DBS) has emerged as a potential neuromodulatory intervention for early-stage AD through stimulation of memory- and cognition-related neural circuitry. This dissertation employed a systematic review research methodology to examine teh neuropsychological and neurobiological outcomes associated with DBS targeting the fornix (DBS-f) and nucleus basalis of Meynert (DBS-NBM) in individuals with early-stage AD over 12–24 …

Adolescent And Young Adult Cancer Survivorship: Supportive Care Needs, Resources, And Barriers, Allison Bryn Koplos

Master's Projects and Capstones

Background: Adolescent and young adult (AYA) cancer survivors experience unique physical, psychosocial, developmental, and healthcare-related challenges that often persist beyond treatment completion. Although survivorship resources have expanded, gaps in supportive care needs persist. This scoping review examined the supportive care needs, survivorship resources, and barriers to accessing supportive care among AYA cancer survivors.

Methods: A scoping review was conducted following the Arksey and O'Malley framework and reported in accordance with the PRISMA-ScR guidelines. Peer-reviewed literature published between 2000 and 2026 was identified through searches in PubMed and Google Scholar. Studies examining supportive care needs, survivorship resources, or supportive care services …

Enhancing Shipboard Safety Management Under The Ism Code: An Innovative Risk Assessment Framework With A Stern Tube Case Study, Pi-Yen Lin

Journal of Marine Science and Technology–Taiwan

The shipboard safety management system (SMS) is designed to enhance safe operations, risk management, and emergency response to improve overall ship safety and efficiency. This paper demonstrates the use of an engine room simulator (ERS) for collecting failure modes and applies it to a comprehensive failure analysis of the stern tube lubricating oil system. A new risk closeness coefficient method was developed, integrating expert background knowledge and weighted risk assessments. The analysis, based on multiple expert evaluations, covered five subsystems, eight main components, 23 failure modes, and 112 failure causes. This study presents 26 recommendations for maritime practitioners and onboard …

Port And Vessel Communication Traffic Intrusion Detection: A Variational Autoencoder‑Enhanced Multilayer Perceptron Approach, Chien-Lin Chiang, Hsien-Cheng Chou, Ming-Yuan Peng, Yi-Yuan Chiang, Yu-Shun Liu

Journal of Marine Science and Technology–Taiwan

Port and vessel networks increasingly operate on IP/Ethernet backbones with high‑noise, high‑dimensional traffic. We present a lightweight hybrid intrusion‑detection model that couples a variational autoencoder (VAE) with a multilayer perceptron (MLP) and augments training with a boundary‑oriented latent‑space mixup strategy. The VAE models the distribution of normal traffic and identifies anomalies through reconstruction errors. Subsequently, it generates robust latent vectors, enabling the MLP to perform highly accurate supervised classification. On the UNSW‑NB15 dataset, the proposed pipeline attains ≥97% accuracy and an outstanding recall of 99.56% in binary intrusion detection, and visualization of the latent space (PCA) together with reconstruction‑error analyses …

Sar Ship Detection Based On Shallow Feature Guidance, Chenxu Xia, Peng Chen, Ya Zhang, Ying Li

Journal of Marine Science and Technology–Taiwan

Maritime ship detection is of great significance for both military security and civilian applications. Synthetic Aperture Radar (SAR), with its all-weather and all-day imaging capability, plays a vital role in maritime surveillance. Nevertheless, SAR ship targets typically appear small in scale, embedded in complex backgrounds, blurred at boundaries, and easily confused with near-shore features, which pose substantial challenges for accurate detection. To address these issues, we propose a SAR ship detection network that integrates dual enhancements of small-object representation and edge information. The network introduces two key components: the Small Target Refine Pyramid (STRP) to strengthen shallow feature representation for …

Improvements Upon Reprocessing Of Orthopedic Single-Use Instruments, Alyssa P. Nguyen

Master's Projects and Capstones

Internal Medline data for Hospital A, a level I academic trauma center, identified a quality gap due to improper segregation and underutilization of orthopedic single-use device reprocessing bins. The baseline reprocessing rate of 4% for orthopedic products results in missed sustainability opportunities, financial strain, and increased regulated waste. A proposed quality improvement intervention implemented updated communication strategies, visual management tools, and education modules to reinforce current reprocessing workflows and close knowledge gaps. Outcome measures include the percentage of SUDs collected for reprocessing, survey results on reprocessing awareness, and potential financial savings in Appendix I. Early data showed a 10% year-to-year …

Robust Statistical Methods For Microbiome Abundance Data, Yiming Shi

WUSM Theses and Dissertations – All Programs

Differential abundance analysis in microbiome studies aims to identify taxa whose abundance differs across biological or clinical conditions. The observed data are typically taxon-specific sequencing read counts, representing reads assigned to different taxa within each sample. These counts are indirect measurements of the underlying microbial abundance profile and are constrained by sample-specific library sizes. Microbiome count data are also typically sparse, overdispersed, and heteroscedastic. Together, these characteristics create substantial challenges for differential abundance analysis and make the results highly sensitive to normalization procedures, model specification, and the statistical methods used for inference.

Normalization defines the scale on which samples are …

Diverging Impacts Of Organizational Dei Practices: The Role Of Objective And Subjective Group Status, Julia Oberlin, Claudia Toma, Tessa L. Dover

Psychology Faculty Publications and Presentations

Purpose – While DEI practices aim to enhance the outcomes of disadvantaged groups, their impact remains uncertain, with disparities often persisting. This paper examines whether the accumulation of DEI practices helps reduce psychological and work disparities between employees, considering both their objective (e.g. gender and race) and subjective (or perceived) (dis)advantage.

Design/methodology/approach – Study 1 surveyed 602 employees to assess the impact of perceiving their organization as having many orfew DEI practices on theirsense ofinclusion and job satisfaction. Study 2 used an experimental design (N 5 739) to extend the findings of Study 1 by manipulating the number of DEI …

The Impact Of A Play-Based Nature Camp On Self-Regulation In School-Age Children, Margaret Berkemeyer

Doctoral Dissertations

This study is a program evaluation with a mixed-methods design that evaluated the effectiveness of Y Rangers, a summer camp offered by the YMCA of San Francisco, in increasing the self-regulation abilities of school-age children. A total of 18 caregivers completed the quantitative portion of this study that included pre/post-test analyses of self-regulation measures. There were no statistically significant changes between pre and post assessments of self-regulation. A subset of seven caregivers and three Y Rangers counselors participated in interviews, the transcripts of which were analyzed using interpretive phenomenological analysis. Caregivers experienced Y Rangers as a unique opportunity for their …

Knowledge, Attitudes, And Practices (Kap) Of Parents Regarding The Prevention And Control Of Childhood Iron Deficiency Anemia In Egypt: A Cross-Sectional Study, Omnia Soliman

Theses and Dissertations

Childhood Iron Deficiency Anemia (IDA) remains a major public health challenge in Egypt, where its persistently high and rising prevalence carries substantial consequences for child growth, cognitive development, immunity, and long-term health outcomes. Globally, approximately 40% of children aged 6–59 months are affected by anemia (World Health Organization, 2025), and Egypt mirrors this burden, with national data showing a worsening trend in recent years. In Egypt, national strategies have traditionally focused on biomedical interventions such as iron supplementation and food fortification, while less attention has been directed toward behavioral and household-level determinants, particularly parental knowledge, attitudes, and practices (KAP) related …

The Relationship Between Acculturative Stress, Body Dissatisfaction, And Disordered Eating Behavior Among Latina Women In The United States, Emily Lillian Johnson

Doctoral Dissertations

The majority of research on body dissatisfaction and disordered eating behaviors focuses predominantly on the experiences of white women, neglecting the significant impact of acculturative stress on these issues, especially among understudied groups like Latina women. The present study seeks to address the gap in the literature by obtaining data that explores the extent to which acculturative stress, body dissatisfaction, and disordered eating behavior have a relationships. Additionally, it investigates the roles of cultural values and ethnic identification in protecting against body dissatisfaction and disordered eating behavior within this population. To determine whether acculturative stress is predictive of body dissatisfaction …

Alarm Fatigue Among Georgia Southern University Nursing Students: Examining Clinical Effects And Preventive Interventions, Madison T. Mills

Honors College Theses

Alarm fatigue, a response to constant exposure to clinical devices’ alarms that can lead to a decrease in responsiveness and safety in healthcare settings. Although it’s well researched in practicing nurses, yet there isn’t much known if alarm fatigue can start in nursing school and how it affects nursing students when in clinical settings. This study examines the importance and effects of alarm fatigue among Georgia Southern University nursing students and the faculty/staff through a mixed-methods survey. Prior research suggests that alarm fatigue can be developed through clinical exposure. Educational and technological interventions, such as alarm-management training and improved monitoring …

Investigating Patient Reported Outcomes (Pros) Of Long Covid, Luke A. Sims

Summer Research Program Abstracts

No abstract provided.

Interpreting The Trispectrum As The Cross-Spectrum Of The Wigner-Ville Distribution, Aviva Abosch

All Publications

The fourth-order time-invariant spectrum, or trispectrum, has a simple derivation as the cross-spectrum among frequency bands in the Wigner-Ville distribution (WVD). Viewed this way, the trispectrum gains intuitive meaning as a measure of the linear dependence of power across frequencies, which yields some insight into its structure and interpretation. We highlight, in particular, a two-dimensional subdomain as useful for identifying modulated oscillations when the modulating envelope is non-negative or lowpass. Spectral characteristics of the carrier and modulating signals are revealed along separate axes of a two-dimensional representation of this domain. The application of this framework, combined with a previously described …

Efficacy And Engagement In Digital Acceptance And Commitment Therapy: A Meta-Analysis And Investigation Of Mechanisms, Korena S. Klimczak

All Graduate Theses and Dissertations, Fall 2023 to Present

Digital mental health interventions offer a more accessible, affordable, and flexible option for mental health support. These apps and websites draw from the same therapeutic models as face-to-face therapy, but are available on demand at a fraction of the cost. In exchange, digital formats give up the personal relationship, accountability, and scheduled structure that keep people connected to treatment. This places a greater burden on users to stay involved on their own, and as a result, engagement is widely believed to be the main bottleneck limiting the impact of digital mental health care.

This dissertation examined engagement in digital programs …

International Aid And Post-Conflict Recovery In The Western Balkans, R. Mary Wall

All Graduate Theses and Dissertations, Fall 2023 to Present

After violent conflicts end, communities often receive international support to help rebuild their governments and economies. This study asks whether aid targeted toward physical reconstruction and institutional reform produces measurable outcomes in those areas. 

Examining five Western Balkans countries between 2000 and 2021, the study finds that infrastructure aid is associated with improved access to clean water and reductions in displaced populations, while aid directed toward strengthening government institutions shows no measurable association with improvements in government effectiveness within the same period. These findings suggest that in the years immediately following conflict, physical reconstruction produces more observable improvements than institutional …

Nature-Based Therapy In The Uae: Leveraging Ecosystems To Alleviate Depression And Anxiety, Aya Abdul Karim Al-Taani, Mahmoud Mohammad Al-Gharaibeh, Ahmed A. Al-Taani

All Works

This review synthesizes current evidence on the relationship between natural ecosystems and mental health outcomes with a particular focus on arid and rapidly urbanizing contexts such as the United Arab Emirates (UAE). It introduces the Multi-Ecosystem Therapeutic Framework for Arid Urban Environments, which moves beyond generalized "nature exposure" models by systematically linking distinct environmental systems to mental health outcomes through identifiable psychological, physiological and social mechanisms. The framework is structured around three interconnected components: ecosystem types (urban green spaces, desert landscapes, mountain environments and blue spaces), mediating mechanisms (including psychological restoration, stress reduction, physical activity and social interaction) and mental …

Hed-Id: A Federated Expert System For Interpretable And Resource-Adaptive Intrusion Detection On Edge Devices, Kushboo Nasir, Sahar K. Badri, Asad Khattak, Daniyal M. Alghazzawi, Mohammed Yahya Alghamdi, Mona Alkhozae, Abeer Almakky, Rania M. Alhazmi, Muhammad Zubair Asghar

All Works

The proliferation of edge computing in industrial and IoT networks necessitates expert systems that support accurate, interpretable, and resource-efficient intrusion detection under strict privacy and computational constraints. This paper presents HED-ID, a fully integrated federated expert system designed for real-time, edge-oriented anomaly detection. The system combines: (i) a stacked bidirectional GRU (BiGRU) architecture with hybrid temporal–spatial attention for sequential and feature-level anomaly modeling, (ii) a resource-adaptive Grey Wolf Optimizer (A-GWO) that modulates exploration–exploitation behavior based on real-time CPU utilization and Bayesian epistemic uncertainty, with formal convergence proof under bounded resource shifts (Appendix A), (iii) federated SHAP, which aggregates local explanations …

Fine-Tuning Large Language Models For Binary And Multiclass Target-Specific Hate Speech Detection, Sanaa Kaddoura, Sumaia Al-Kohlani

All Works

Social media platforms are widely used by individuals from diverse demographic backgrounds to share their opinions and daily experiences. The anonymity provided by these platforms has increased the prevalence of hate speech, causing significant psychological harm to targeted groups. Existing hate speech detection approaches predominantly rely on binary classification, which fails to capture the lexical and contextual diversity of hate categories, leading to the misclassification of hate against minority groups. This study addresses this limitation by evaluating the effectiveness of five large language models (LLMs) for target-specific multiclass hate speech detection across six classes. The evaluation uses a dataset of …

Tennessee General Education Preschool Teachers’ Perceptions Of Their Preparedness To Teach Young Children With Disabilities, Misty M. Moody

Electronic Theses and Dissertations

Under the Individuals with Disabilities Education Act (IDEA), local education agencies (LEAs) must educate young children with disabilities in the least restrictive environment (LRE) while ensuring opportunities to learn alongside their non-disabled peers. As inclusive opportunities for preschool-aged children with disabilities continue to expand, general education preschool teachers play an important role in providing instruction that meets the diverse needs of all children. However, limited research has examined general education preschool teachers’ perceptions of their preparedness to teach young children with disabilities, particularly in Tennessee.

This qualitative study explored Tennessee general education preschool teachers’ perceptions of their preparedness to teach …

Adaptive Active Snore Noise Control Using Microphone And Loudspeaker Arrays, Nathan Walker

All Graduate Theses and Dissertations, Fall 2023 to Present

Snoring can wreck a good night’s sleep, not just for the snorer but for their partner, and over time it can strain relationships. Common fixes like CPAP machines, nasal strips, and earplugs either have to be worn or don’t do much against the deep, low-pitched rumble that makes snoring so hard to ignore.

This research explores a different approach, a device that doesn’t need to be worn at all. It uses a small set of microphones to listen to the snoring and a set of speakers to play back carefully timed anti-snore noise, which is sound designed to cancel out …

Scalable Quality Assessment Of Ground Motion Records Via Interpretable Deep Learning Architectures, Ali Montazeri Namin

All Graduate Theses and Dissertations, Fall 2023 to Present

Earthquake engineers rely on accurate recordings of ground shaking to design safe and resilient buildings. However, sorting through thousands of these recordings to find the reliable ones and throwing out those ruined by sensor errors or background noise is traditionally done by hand. Because modern seismic networks collect massive amounts of earthquake data every day, this manual checking process is much too slow. To fix this, researchers are turning to artificial intelligence to automatically check the quality of these recordings.

While artificial intelligence offers a fast solution, there are limitations. These computer models can become massive and expensive to run, …

Cascaded Pid Control Of A Passive Bio-Inspired Rotating Empennage Aircraft, Zachary T. Jenkins

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis presents an autopilot for a Bio-Inspired Rotating Empennage (BIRE) aircraft. Most airplanes control yaw using a vertical stabilizer and a moving rudder, a design that has stayed essentially unchanged for nearly a century but adds weight, drag, and surface area to the aircraft. The BIRE removes the vertical tail entirely and instead allows the horizontal tail to rotate about the body x-axis of the airplane; tilting the horizontal tail produces a yaw force, doing the job of a rudder. This thesis first develops a controller for the BIRE where the empennage angle is commanded directly, then extends …