Digital Commons Network^™

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 …

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 …

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 …

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 …

Proactive Recognition Of Patient Violence Risk: Enhancing Emergency Department Staff Awareness Through Structured Education, Lindsey Frasure

Doctoral Projects

Background: Workplace violence is a significant concern in emergency departments (EDs), where early recognition of behavioral and situational warning signs may help prevent escalation. However, warning signs may be missed, misinterpreted, or recognized too late.

Purpose: This project evaluated a structured educational intervention designed to improve ED staff knowledge of early warning signs and risk factors associated with patient violence. Lewin’s Change Theory guided the project.

Methods: A quasi-experimental pre-/post-intervention design was conducted with 10 ED staff members. Participants completed baseline assessments of knowledge and confidence, received structured education on violence risk factors and early warning signs, and completed post-intervention …

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 …

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 …

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 …

Enhancing Agricultural Sustainability Under Climate Change: A Multi-Scale Framework Integrating Climate Extremes, Resource Efficiency, And Data-Driven Modeling, Shahryar Fazli

Computational and Data Sciences (PhD) Dissertations

Agricultural systems are increasingly challenged by climate variability, where shifting temperature regimes, hydrological variability, and the rising frequency of compound and cascading extremes threaten global food security and resource sustainability. Addressing these challenges requires integrated frameworks that bridge biophysical monitoring, predictive modeling, and adaptive decision-making. This dissertation develops a data-driven, multi-scale framework to quantify and enhance agricultural resilience by integrating remote sensing, climate analytics, and machine learning across the United States, with a focus on California and the Western U.S.

First, hyperspectral and thermal remote sensing data from EMIT and OpenET are integrated to characterize crop nitrogen–water interactions and assess …

Closing The Interactivity Gap: Towards Efficient In Situ Analysis, Bidirectional Steering, And Gaussian-Based Visualization For Large-Scale Scientific Computing, Andres Sewell

All Graduate Theses and Dissertations, Fall 2023 to Present

Scientists use supercomputers to simulate weather, blood flow, plasma, and other systems. The largest machines produce more data than can be saved to disk, so scientists are only able to analyze a fraction of what gets generated. Visualizing the data during the run slows the simulation, because the rendering shares the simulation’s graphics processing units (GPUs). Most simulation codes offer no way to interact with a run in progress. The results are often too large to visualize on a local workstation, and exploring them on the supercomputer means waiting in the queue and spending allocation time. We call these three …

Prioritizing Fuel Treatments To Reduce Post-Fire Debris Flow Risk In Utah, Kipling B. Klimas

All Graduate Theses and Dissertations, Fall 2023 to Present

Wildfire is a natural part of many forest ecosystems, but in the western United States, wildfires have become larger, more frequent, and more severe in recent decades. There are serious problems after severe wildfire, including erosion, flooding, and debris flows that threaten water quality, roads, and communities. Because of this, land managers need better ways to decide where fuel treatments, such as prescribed burning or thinning, can most effectively reduce wildfire damage and post-fire risks.

In this dissertation, I studied how fuel treatments might reduce wildfire severity and lower the risk of post-fire debris flows in Utah. First, I built …

Representing The Brand: A Study To Examine The Best Practices For Structuring And Operating Communications Teams In Higher Education Institutions, Margaret L. Reisser

Masters Theses and Doctoral Dissertations

As higher education institutions increasingly compete for students, faculty, funding, and recognition, academic leaders are recognizing the essential role communications and public relations professionals play in maintaining and promoting the value of their institutional brands. Much has been written about the value of communications professionals in brand management in the corporate arena. However, it appears less attention has been paid to their role in higher education. This mixed-methods study was undertaken to examine the best practices for structuring and operating communications and public relations organizations for optimal success in promoting the higher education institutions they represent. Communications and public relations …

Intersectional Realities And Adaptive Leadership: A Phenomenological Study Of Black Women Administrators In Higher Education, Jocelyn Vernet

Electronic Theses and Dissertations

Existing literature consistently documents the acute underrepresentation of Black women in administrative leadership. Furthermore, Black women administrators that are represented and visible in higher education often oversee programs and task forces that heighten their experiences to high-risk situations. Emerging narratives suggest Black women employ effective coping strategies and embrace opportunities to strengthen and cultivate support networks while in their leadership roles. However, there is a significant lack in understanding how these strategies are structured and sustained to overcome the underrepresentation of Black women administrators in higher education. Additionally, basing their experiences solely through a survival lens limits a deeper understanding …

Climate Change Impacts On Fish-Related Ecosystem Services: Synthesis, Network Analysis, And Strategic Pathways For Coordinated Adaptation, Ebenezer Afrifa-Yamoah, Awuah-Mensah, Stephen Bradshaw, Ute Mueller

Research outputs 2022 to 2026

Climate change is rapidly disrupting fish-related ecosystem services that underpin global food security, economic livelihoods, and cultural identity across both marine and freshwater systems. While impacts are increasingly recognised, disciplinary fragmentation has hindered integrated understanding of how climate-driven changes in fish populations affect ecosystem service delivery. This review makes two integrated contributions: a hierarchical synthesis tracing causal pathways from physical climate drivers through biological and ecological responses to socioeconomic outcomes, and a qualitative network analysis that maps the interconnections, implementation readiness, and strategic sequencing of seven major adaptation strategies. Ocean warming, acidification, deoxygenation, and their increasingly frequent co-occurrence as compound …

Efficient Removal Of Methyl Orange Dye Via A Mnfe₂O₄/Go Nanocomposite With A Ctab Dual-Layer Surfactant Coating, Taher Karami, Soleiman Bahar, Reza Mostafazadeh

Research outputs 2022 to 2026

This study investigated the adsorption of methyl orange (MO) from aqueous solutions using a novel MnFe₂O₄/GO nanocomposite coated with cetyltrimethylammonium bromide (CTAB). The dual-layer surfactant modification facilitates both electrostatic and lipophilic interactions. This enhancement significantly improves dye removal efficiency. The adsorption process was monitored using spectrophotometry at 464 nm, with various characterization techniques confirming the structural and magnetic properties of the nanocomposite. The optimized parameters for maximum adsorption include a 2-minute ultrasonic dispersion, pH 6.8, and a surfactant-to-adsorbent ratio of 1, achieving a maximum adsorption capacity of 285.7 mg/g. The kinetic data followed a pseudo-second-order model, whereas the adsorption isotherm …

Analysis Of U.S. Army Body Composition Policies: Implementation Effectiveness And Recommendations For Policy Enhancement At Brooke Army Medical Center, Michael L. Rizzo

Doctor of Nursing Practice (DNP) Manuscripts

US Army body composition policies (AR 600-9 and recent directives) are essential for military readiness, injury prevention, and force health protection, yet implementation gaps persist, particularly with the 2026 Department of Defense (DoD)-mandated waist-to-height ratio (WHtR < 0.55) transition. This DNP project evaluated policy implementation effectiveness at Brooke Army Medical Center using the W.K. Kellogg Foundation Logic Model and CFIR 2.0 framework. Analysis of 2022–2025 de-identified administrative data and 16 stakeholder questionnaires identified ≥10 implementation gaps, including low awareness of new standards and workload impacts. The project developed 8 evidence-based recommendations and an implementation roadmap to improve compliance, optimize resources, reduce administrative burden, and strengthen military readiness.

Revisiting Ulam Stability For Boundary Value Problems, Martin Bohner, Snezhana Hristova, Agnieszka B. Malinowska, Ewa Girejko

Mathematics and Statistics Faculty Research & Creative Works

The main goal of this paper is to apply Ulam stability theory to boundary value problems for dynamic equations, while addressing several common misconceptions found in the existing literature. We identify the key issues that arise when applying Ulam stability to such problems and propose three distinct approaches to overcome them. To enhance clarity and accessibility, we begin with nonlinear ordinary differential equations and subsequently extend the analysis to nonlinear dynamic equations on time scales. Since a time scale is defined as any nonempty closed subset of the real numbers, our results are applicable to dynamic equations on continuous, discrete, …

Wildfire And Fuel Treatments In Utah: A Practical Guide And Outcomes From An Oak-Maple Ecosystem, Annie E. Prescott

All Graduate Theses and Dissertations, Fall 2023 to Present

Wildfire is a natural part of Utah’s landscapes, but as wildfires become more extreme and communities continue to expand into wildland areas, it is increasingly important to understand how wildfires behave and how their negative effects can be mitigated. One way to reduce wildfire risks and protect life, property, and ecosystem services is through fuel treatments — actions that reduce the amount and arrangement of flammable vegetation through mechanical removal, wildland fire, or other methods.

Information on wildfire behavior and fuel treatments is abundant but often scattered, ecosystem-specific and difficult to access. In addition, most research in the Western U.S. …

The Effects Of Eps Level And Presentation Format Of Analysts’ Forecast Deviation On Non-Professional Investors’ Investment Judgments, Clarence Goh, Prasart Jongjaroenkamol, Poh-Sun Seow

Research Collection School Of Accountancy

We experimentally investigate how the presentation format of the extent to which a firm's earnings per share (EPS) diverges from analysts' EPS forecasts (i.e. deviation information) and a firm's EPS level affect the investment judgments of non-professional investors (referred to hereafter as “investors”). Our results suggest that investors' investment judgments are more positive when firms with low (high) EPS levels disclose deviation information in percentage (absolute) terms. Furthermore, when the percentage of forecast deviation is held constant, investment judgments are more positive when EPS levels are high versus low if the deviation information is expressed in absolute terms. By contrast, …