Digital Commons Network^™

The Impact Of Cello Training On Spatial Orientation Abilities In Adult Learners, Circe Diaz Gamero

Doctoral Dissertations and Projects

Academic discourse lacks exploration of the effects that musical training during adulthood has on spatial orientation abilities through their connection between cognitive science and music education. This study seeks to address this knowledge gap through research that evaluates cello training effects on spatial orientation abilities in adult learners. The rising interest in non-medicine-based methods for brain function improvement and recovery establishes the urgent need to research possible cognitive advantages that occur when adults participate in music education. This research study adopted a convergent mixed-methods approach that studied adults with minimal musical background in an eight-week structured cello training program, aiming …

A Qualitative Phenomenological Study On Perceptions Of Pregnancy Bias And Career Advancement In Music Education, Chelsa N. Keathley

Doctoral Dissertations and Projects

This qualitative transcendental phenomenological research followed the perspectives of thirteen music educators across eleven states. The participants included five female secondary band directors, six male secondary band directors, one retired female secondary band director, and one male secondary administrator, along with the personal experiences of six mothers who currently serve as band directors in secondary music education. This study explored perceptions of gender bias within the field, focusing on issues such as the underrepresentation of women in secondary music education, negative societal perceptions regarding women in leadership positions, and the presence of a negative workplace culture. These factors were explored …

Fire Officer Leadership: Understanding The Lived Experience Of New Firefighters, Tyler Ames

Doctoral Dissertations and Projects

This qualitative phenomenological study looked into how newer firefighters experienced working under fire officer leaders who utilized laissez-faire leadership tendencies. The goal of the study was to better understand what this kind of leadership looks like in the fire service and how it affects newer members in their day-to-day lives as well as emergency scenarios. Twelve firefighters from different departments across Utah were interviewed, and all participants had less than three years of experience. The interviews focused on the participants’ experiences, challenges, and feelings when working under this particular leadership style. Each transcript was reviewed and coded using an inductive …

Motivation And Retention In Music Education: A Phenomenological Study On Socioeconomic Status Impact, Bracy C. Martin Jr.

Doctoral Dissertations and Projects

The retention of middle and high school students in music education programs remains a persistent concern, particularly when disparities in motivation are shaped by socioeconomic status (SES). This hermeneutic phenomenological study investigated how intrinsic and extrinsic motivational factors such as funding, parental involvement, off-campus performance opportunities, and student engagement are influenced by SES and how these influences affect student retention in school music programs. Grounded in Deci and Ryan's Self-Determination Theory and Vroom’s Expectancy Theory, the study examined how motivation and SES intersect to either support or hinder student persistence in music education.

Eight music educators from urban, suburban, and …

The Impact Of Modeling Music Literacy After English Literacy On Elementary Students’ Music Reading Abilities, Madeline Ann Lee

Doctoral Dissertations and Projects

Although numerous studies have been conducted to determine music’s ability to improve student achievement in other content areas, integrating general education pedagogy practices for the purpose of enhancing music education has not received the same attention. Music and language share one of the strongest and most recognizable connections, yet parallels drawn between music and language do not typically extend to the pedagogy used to teach music literacy acquisition and application. This applied research study compared the music literacy abilities of students instructed using traditional music literacy practices to those instructed using techniques modeled after English literacy practices. To determine the …

Identifying Aspects Of Musical Diversity That Engender Multigenerational Worship In Select Baptist Churches: A Case Study, Megan Scruggs Hollifield

Doctoral Dissertations and Projects

Multigenerational worship through the avenue of musical diversity in the Baptist church is the focus of this case study. This study aims to identify critical components of musical diversity, emphasizing song selection as a key element of liturgy within corporate worship. The research undertakes an observational analysis of the relationship between musical diversity through liturgy and congregational engagement of all generations. Five Baptist churches were selected to be studied to categorize the similarities and differences in the area of multigenerational worship. The case study research model provided a variety of data collection methods through research observations, online questionaries and in-person …

Integrating African American Veterans Into Church Life: The Impact Of Urban Neo-Tribalism At Olivet Church, Dennis Allen Rose Jr.

Doctoral Dissertations and Projects

African American veterans at Olivet Baptist Church attended worship services but did not participate in broader church activities. Many remained disconnected except during annual recognition events. This project was developed to address that gap. The Veteran Re-engagement Module (VRM) was delivered through six small group sessions. It focused on helping veterans talk through their past experiences, explore how those experiences affected their faith, and reconnect with the church. The approach centered around Scripture, group conversation, and spiritual storytelling. To evaluate its impact, data came through before-and-after surveys, individual interviews, and session notes. Twelve veterans participated. Some said this was the …

Hurricane Katrina Archive: E-Books And E-Journals A To Z Bibliography 2020-2025, Lsu Health Sciences Center - New Orleans Libraries, Elizabeth H. Holt

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 43 electronic books and edited collections created on the topic of Hurricane Katrina by authors and others affiliated with LSU Health Sciences Center - New Orleans between September 2005 and August 2025.

Hurricane Katrina Archive: Faculty Publications Bibliography 2020-2025, Lsu Health Sciences Center - New Orleans Libraries, Sharon Duffy, Matthew Folse

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 10 articles about Hurricane Katrina written by authors affiliated with LSU Health – New Orleans between January 2020 and August 2025.

Hurricane Katrina Archive: Faculty Publications Bibliography 2015-2019, Lsu Health Sciences Center - New Orleans Libraries, Sharon Duffy, Matthew Folse

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 19 articles about Hurricane Katrina written by authors affiliated with LSU Health – New Orleans between January 2015 and December 2019.

Hurricane Katrina Archive: Faculty Publications Bibliography 2010-2014, Lsu Health Sciences Center - New Orleans Libraries, Sharon Duffy, Matthew Folse

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 45 articles about Hurricane Katrina written by authors affiliated with LSU Health – New Orleans between January 2010 and December 2014.

Hurricane Katrina Archive: Faculty Publications Bibliography 2005-2009, Lsu Health Sciences Center - New Orleans Libraries, Sharon Duffy, Matthew Folse

LSUHSC Hurricane Katrina Archive: Bibliographies

This bibliography includes 91 articles about Hurricane Katrina written by authors affiliated with LSU Health – New Orleans between January 2005 and December 2009.

Approximation And Parameterized Algorithms For Covering With Disks Of Two Types Of Radii, Sayan Bandyapadhyay, Eli Mitchell

Computer Science Faculty Publications and Presentations

We study the Discrete Covering with Two Types of Radii problem motivated by its application in wireless networks. In this problem, the goal is to assign either small-range high frequency or large-range low frequency to each access point, maximizing the number of users in high-frequency regions while ensuring that each user is in the range of an access point. Unlike other weighted covering problems, our problem requires satisfying two simultaneous objectives, which calls for novel approaches that leverage the underlying geometry of the problem. In our work, we present two new algorithms: the first is a polynomial-time (2.5 + ϵ)-approximation, …

Enhancing Reliable And Energy-Efficient Uav Communications With Ris And Deep Reinforcement Learning, Wasim Ahmad, Umar Islam, Abdulkadhem A. Abdulkadhem, Babar Shah, Fernando Moreira, Ali Abbas

All Works

The rapid growth in wireless communication demands has led to a surge in research on technologies capable of enhancing communication reliability, coverage, and energy efficiency. Among these, uncrewed aerial vehicles (UAV) and reconfigurable intelligent surfaces (RIS) have emerged as promising solutions. Prior research on using deep reinforcement learning (DRL) to integrate RIS with UAV concentrated on enhancing signal quality and coverage, but it ignored the challenges caused by electromagnetic interference (EMI). This article introduces a novel framework addressing the challenges posed by EMI from Gallium nitride (GaN) power amplifiers in RIS-assisted UAV communication systems. By integrating DRL with quadrature phase …

Ddos Attack Detection In Edge-Iiot Digital Twin Environment Using Deep Learning Approach, Feras Al-Obeidat, Adnan Amin, Ahmed Shuhaiber, Inam Ul Haq

All Works

The industrial Internet of Things (IIoT) and digital twins are redefining how digital models and physical systems interact. IIoT connects physical intelligence, and digital twins virtually represent their physical counterparts. With the rapid growth of Edge-IIoT, it is crucial to create security and privacy regulations to prevent vulnerabilities and threats (i.e., distributed denial of service (DDoS)). DDoS attacks use botnets to overload the target system with requests. In this study, we introduce a novel approach for detecting DDoS attacks in an Edge-IIoT digital twin-based generated dataset. The proposed approach is designed to retain already learned knowledge and easily adapt to …

Deep Learning And Machine Learning Based Prediction Of Significant Wave Height Along The Grand Coast Of Dakar, Senegal, Dialo Diop, Xu Dongsheng, Sanjay Kumar Shukla

Research outputs 2022 to 2026

Recently, deep learning (DL) has become an essential tool for processing large datasets and is playing a crucial role in scientific research. It significantly contributes to protecting the marine environment and forecasting oceanic phenomena. This study applies an autoregressive integrated moving average model (ARIMA) time series model to forecast significant wave heights (SWHs) at two beaches in Dakar, Senegal: Malika and Yoff. Additionally, the long short-term memory network (LSTM) is used for comparative analysis. Both models estimate SWH for future predictions ranging from 12 hours to 60 days. The study utilized ERA5 reanalysis data, comprising 52584 elements of SWH and …

Whf Roadmap On Single Pill Combination Therapies, Enrico G Ferro, Mark Huffman, Orly Vardeny, Et Al.

2020-Current year OA Pubs

Cardiovascular diseases (CVDs) are the leading global cause of mortality, with treatment adherence posing a major barrier to effective prevention and control. Single pill combinations (SPCs), also known as fixed-dose combinations, simplify treatment by combining multiple agents into one pill, improving adherence and reducing cardiovascular risk. This World Heart Federation Roadmap synthesizes the latest clinical evidence and identifies key barriers to SPC implementation, including limited manufacturing, affordability, regulatory complexity, and inconsistent guideline inclusion. Drawing on global expert input and health systems analysis, the Roadmap outlines practical, context-specific solutions to improve access, scale-up, and integration of SPCs into national strategies, especially …

Advancing Statistical Literacy In Eye Care: A Series For Enhanced Clinical Decision-Making: Part 2: Statistical Testing In Eye And Vision Research – Principles And Practices, Daniela Oehring

School of Health Professions

Purpose: To enhance statistical literacy in eye and vision Research through practical guidance on hypothesis testing, test selection, and interpreting inferential statistics. The goal is to reduce common analytical errors and support more clinically meaningful conclusions in ophthalmic studies.Material and Methods: A narrative literature review was conducted using PubMed, Scopus, and Web of Science to identify best practices in hypothesis testing, error control, and test selection relevant to clinical research in ophthalmologyand optometry. Simulated datasets, based on real-world clinical scenarios, were generated in Python to illustrate core concepts. Worked examples demonstrate the Impact of sample size, data distribution, and error …

Palliative Inotropic Support In A Patient With End-Stage Systolic Heart Failure, Christiana King, Justin Hayes

Cardiovascular Research Symposium

No abstract provided.

A Dual-Model Machine Learning Framework For Predictive Maintenance Of Industrial Digital Press Components, Richmond Darko, Emmanuel Adabor

African Conference on Information Systems and Technology

This study presents a novel dual-model predictive maintenance framework designed to improve maintenance scheduling for components in industrial digital presses. The framework integrates two complementary approaches: a Threshold-Based Maintenance Approach (TBMA) for components operating within acceptable usage limits, and an Overdue Severity-Based Maintenance Approach (OSBMA) for those that have exceeded their expected lifespans or show signs of critical degradation. This study uses real-world operational data from a Konica Minolta C6000 press. It applies advanced machine learning models, including Gradient Boosting Machines and Random Forest for classification, and Generalized Additive Models (GAM) for Remaining Useful Life (RUL) prediction. The goal is …

The Integration Of Agile Methodologies In Devops Practices Within The Information Technology Industry, Ashley Hourigan, Ridewaan Hanslo

African Conference on Information Systems and Technology

The demand for rapid software delivery in the Information Technology (IT) industry has significantly intensified, emphasising the need for faster software products and service releases with enhanced features to meet customer expectations. Agile methodologies are replacing traditional approaches such as Waterfall, where flexibility, iterative development and adaptation to change are favoured over rigid planning and execution. DevOps, a subsequent evolution from Agile, emphasises collaborative efforts in development and operations teams, focusing on continuous integration and deployment to deliver resilient and high-quality software products and services. This study aims to critically assess both Agile and DevOps practices in the IT industry …

Toward Secure And Inclusive Educational Metaverse: Insights For African Countries, Nkosikhona T. Msweli

African Conference on Information Systems and Technology

The rapid growth of immersive learning platforms has introduced critical identity security challenges. This study presents a bibliometric analysis of over 200 publications (2005–2025) on AI and security issues in virtual educational environments, using Scopus as the primary source. Findings reveal a surge in research after 2022, with China, the U.S., and India as leading contributors, while African representation remains limited. Key concerns include cross-platform vulnerabilities, deepfake threats, and challenges in implementing blockchain-based identity verification. The study also highlights algorithmic bias and ethical issues in identity authentication, emphasizing the need for inclusive, transparent AI systems. The paper provides insights to …

Conceptualizing Sociotechnical Changes In Higher Education Institution Fundraising Practices Resulting From Popia Compliance, Tendani Mulanga Chimboza, Ronica Ramsout, Wallace Chigona

African Conference on Information Systems and Technology

This qualitative inquiry investigates the sociotechnical changes in fundraising practices of Higher Education Institutions (HEI) resulting from compliance with the Protection of Personal Information Act (POPIA) Act No 4 of 2013 in South Africa. POPIA imposes strict regulations for collection, processing, sharing and storage of personally identifiable information (PII). As the South African government continues to reduce subsidies in HEIs, a third-income stream has become important to support operational activities. A major source of a third-income stream for HEIs is fundraising. Fundraising practices are largely mediated through donor management systems (DMS) or Customer Relationship Management Systems (CRM) that rely on …

Biddle Physical Ability Test (Bpat) Performance By Attempt In Southern California Structural Firefighter Candidates, Robert G. Lockie, Joseph Dulla, Jennifer Meloni, Kristina A. Ross, Robin (Rob) Marc Orr, J. Jay Dawes, Tomas J. Ruvalcaba

International Journal of Exercise Science

International Journal of Exercise Science 18(8): 895-909, 2025. The Biddle Physical Ability Test (BPAT) is a job task simulation that must be completed in ≤9:34 min:s by structural firefighter candidates to be accepted to a fire training academy. This study investigated the influence of prior attempts on BPAT time. Retrospective analysis was conducted on 1435 male and 72 female candidates. All participants received equivalent instruction on how to complete the BPAT which incorporated: dry hose drag; charged hose drag; halyard raise; roof walk; attic crawl; roof ventilation; victim removal; ladder removal and carry; stair climb with hose bundle; crawling search; …

Equity In Every Beat: Advancing Women’S Heart Health Through Early Identification, Education, And Partnerships, Cristy Ellen Jomoc, Patricia Etheridge

Global Advocacy

Equity in Every Beat: Advancing Women’s Heart Health through Early Identification, Education, and Partnerships is a global advocacy initiative addressing disparities in cardiovascular care among women.

Background: Cardiovascular disease remains the leading cause of death in women worldwide, yet it is frequently underrecognized and undertreated due to implicit bias, misdiagnosis, and barriers to care. With one in three women globally succumbing to heart disease, there is an urgent need for improved early detection and intervention. This initiative aligns with Sustainable Development Goals (SDGs) 3 (Good Health and Well-being), 4 (Quality Education), and 17 (Partnerships for the Goals), focusing on empowering …

Gratifications That Contribute To Compulsive Youtube Use Among University Students, Mkhululi Tshepo Ncube, Zweithini Mabhena, Wallace Chigona

African Conference on Information Systems and Technology

This study investigated the gratifications contributing to compulsive YouTube use among university students. Compulsive YouTube use, marked by an inability to regulate consumption despite negative impacts to the user, is analysed through the Uses and Gratifications Theory (U&G) and Compulsive Internet Use (CIU). Specifically, the study examined how different gratifications—such as emotional support, habitual viewing, and escapism—drive compulsive use patterns. A cross-sectional survey strategy was employed, collecting data from 175 university students through structured online questionnaires. The study used Partial Least Squares Structural Equation Modelling (PLS-SEM) to test the relationships between the identified gratifications and compulsive usage behaviour. The findings …

Machine Learning Driven Email Phishing Detection, Selasi Tsatsu Ayekple, Ransford Fiifi Bekoe, Ebenezer Addy, Felicia Engmann

African Conference on Information Systems and Technology

Phishing attacks pose significant risks to cybersecurity, exploiting user trust through deceptive email content. This paper presents a machine learning based framework for detecting phishing emails using a 2024 dataset comprising over 80,000 labeled samples sourced from PhishTank and Kaggle. Features were engineered from URLs, email content, and metadata. Five models— Logistic Regression, Support Vector Machine (SVM), Random Forest, XGBoost, and K-Nearest Neighbors (KNN)—were evaluated. Simulated results demonstrate that ensemble models, particularly Random Forest and XGBoost, delivered optimal results, with near-perfect accuracy and recall. The study highlights the efficacy of combining feature-based engineering with ensemble learning to enhance real-time phishing …

How Can We Reduce Mental Health Disparities In Rural Areas?, Brenda Kinyumu

Global Advocacy

On a regular day, rural areas face a shortage of healthcare providers (Physicians) and have limited access to healthcare for their physical illness. Adding mental health to the equation complicates the situation. Different communities have distinct needs, thus requiring solutions tailored for each community. It is crucial to assess the specific needs of each community and customize interventions accordingly. 1/5 of the rural population, which is roughly 6.5 million people, suffer from mental health illness (Morales et al., 2020). According to the Mental Health America website, the Rural suicide rate is 18.3 &20.5 per 100,0000 compared to the urban rate …

Closing The Gap: A Global Advocacy Campaign To Promote Hiv Pre-Exposure Prophylaxis In Pregnancy, Marin Strong

Global Advocacy

Background: The risk of HIV acquisition is doubled during pregnancy compared to non-pregnant periods, and over one-third of vertical transmission of HIV (from mother to baby) is attributable to acute maternal HIV acquisition. Since 2017, the World Health Organization (WHO) has recommended oral HIV pre-exposure prophylaxis (PrEP) as a safe, effective prevention tool for pregnant and postpartum women at high risk for HIV acquisition. However, per the 2018-2019 Global Reproductive, Maternal, Newborn, Child and Adolescent Health Policy Survey, only 43% of WHO member states have policies in place aligned with supporting HIV PrEP in pregnancy. It is a critical time …

Activity Hierarchy: A Sequential Process Model For Information Systems Research, Irja Shaanika, Tiko Iyamu

African Conference on Information Systems and Technology

Due to the lack of guidelines on how to apply the activity hierarchy (AH) of activity theory (AT), many postgraduates including emerging researchers, continue to struggle in their attempts to apply the theory as a lens. Also, the difficulty limits options in selecting theories in information systems (IS) research. Thus, the study’s objective was to propose a set of guidelines for applying AH in IS research. From a qualitative methods perspective, thirty-one articles were gathered. The interpretive approach was applied using the hermeneutic cycle to examine the articles. Based on the analysis, a model was developed. The model provides a …