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2026

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Castrip Process Technology: Non-Grain Oriented (Ngo) Si Steels Extension And Carbide-Free Bainitic (Cfb) For Flat Products, Naram Naidu Meesala Jan 2026

Castrip Process Technology: Non-Grain Oriented (Ngo) Si Steels Extension And Carbide-Free Bainitic (Cfb) For Flat Products, Naram Naidu Meesala

Masters Theses

"This research explores the development of advanced steel grades manufactured through Castrip® twin-roll thin strip casting technology, with particular attention to non-grain-oriented electrical Si-Steels (NGOES) and carbide-free bainitic (CFB) steels. The Castrip® process offers a near-net-shape route for producing thin steel strips, which greatly decreases the number of processing stages, lowers energy demand, and reduces carbon dioxide emissions when compared with traditional steel production methods.

In the NGOES part of the study, several industrial Fe–Si steel compositions were cold rolled to final thicknesses ranging from 0.35 mm to 0.15 mm. These materials were then exposed to short-duration continuous annealing at …


Exploring The Potential Of Renewable Energy For Sustainable Mobility: A Simulation- Based Study Of Hydrogen Vehicle Penetration In Oman’S Road Network, Siham Farrag, Tarek R. Sheltami, Fatma Outay, Ansar Ul Haque Yasar Jan 2026

Exploring The Potential Of Renewable Energy For Sustainable Mobility: A Simulation- Based Study Of Hydrogen Vehicle Penetration In Oman’S Road Network, Siham Farrag, Tarek R. Sheltami, Fatma Outay, Ansar Ul Haque Yasar

All Works

Hydrogen fuel is gaining attention as a promising zero-emission energy source, aligning with global sustainability goals and supporting the transition to zero carbon emissions. This study examines the potential of using hydrogen as an alternative fuel for sustainable mobility in Muscat, Oman. We developed an integrated modelling framework that combines microscopic traffic simulation, energy demand modeling, refueling infrastructure station’ estimation, and well-to-wheel (WTW) emissions evaluation. A microscopic simulation software (SUMO) was applied to evaluate the penetration rate of hydrogen-powered vehicles (0%, 20%, 40%, 60%) with different hydrogen production pathways. Results indicate that with a 60% penetration of green hydrogen, total …


Energy-Efficient Mixed-Criticality Multicore Systems, Fayyaz Ali, Saud Wasly, Amjad Ali, Shahid Iqbal, Asad Masood Khattak, Bashir Hayat, Shah Khalid Jan 2026

Energy-Efficient Mixed-Criticality Multicore Systems, Fayyaz Ali, Saud Wasly, Amjad Ali, Shahid Iqbal, Asad Masood Khattak, Bashir Hayat, Shah Khalid

All Works

Balancing energy efficiency with stringent timing guarantees in real-time mixed-criticality systems (MCS) is a key challenge, especially in multicore architectures. This paper introduces a novel energy-aware scheduling framework that integrates dynamic voltage and frequency scaling (DVFS) with a Decreasing-Criticality-Decreasing-Utilization (DCDU) allocation approach. The optimal operating frequencies are obtained at each criticality level; high-criticality tasks are assigned to cores at full operating frequency to maintain timing guarantees, while low-criticality tasks are allocated using worst-case execution times scaled to their optimal frequency. A fixed-priority response-time analysis is used for schedulability in low mode, high mode, and during mode changes. The extensive simulations …


Machine Learning For Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review, Yassine Benachour, Farid Flitti, Lina Maloukh, Aicha Beya Far, Elhocine Boutellaa, Mohamed Bentoumi, Marwa Chendeb El Rai, Nour Aburaed, Khaled Ali, Moez Rehman, Sultan Mosleh, Rania Dghaim, Sadok Bouamama Jan 2026

Machine Learning For Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review, Yassine Benachour, Farid Flitti, Lina Maloukh, Aicha Beya Far, Elhocine Boutellaa, Mohamed Bentoumi, Marwa Chendeb El Rai, Nour Aburaed, Khaled Ali, Moez Rehman, Sultan Mosleh, Rania Dghaim, Sadok Bouamama

All Works

Wearable-sensor-based human movement analysis is an increasingly important component of digital health and rehabilitation, enabling objective monitoring and data-driven personalization of therapy. In parallel, machine learning (ML) methods have rapidly expanded for interpreting multimodal movement signals, yet the evidence base remains heterogeneous and difficult to benchmark. This PRISMA-guided systematic review synthesizes recent ML approaches for wearable human motion analysis in rehabilitation-oriented health applications. We searched IEEE Xplore, PubMed, and Scopus for English-language studies published from 2021 to 2025 and extracted information on sensor modalities, ML task formulations and model families, dataset characteristics, validation protocols, and reported performance metrics, together with …


Edge-Aware Ris-Assisted Dynamic Channel Allocation With Lightweight Llm Decision Agent For Interference Mitigation In Low-Altitude Remote Sensing Networks, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Muhammad Attique Khan, Rashid A. Saeed, Hashim Elshafie, Bishwajeet Kumar Pandey, Khairul Akram Zainol Ariffin Jan 2026

Edge-Aware Ris-Assisted Dynamic Channel Allocation With Lightweight Llm Decision Agent For Interference Mitigation In Low-Altitude Remote Sensing Networks, Safiya Nasser Al-Jaradi, Mohammad Kamrul Hasan, Nabeel Al-Qirim, Shayla Islam, Muhammad Attique Khan, Rashid A. Saeed, Hashim Elshafie, Bishwajeet Kumar Pandey, Khairul Akram Zainol Ariffin

All Works

Low-altitude remote sensing networks are increasingly important for applications, such as environmental monitoring, disaster response, infrastructure inspection, and real-time sensing services. However, when many sensing nodes share limited spectrum resources, severe cochannel interference can degrade communication reliability and delay sensing-data delivery. This challenge becomes more critical in edge-enabled deployments, where control decisions must be made under strict latency, memory, and computational constraints. To address this issue, this article proposes a large language model (LLM)-enhanced edge-aware lightweight reconfigurable intelligent surface (RIS)-assisted dynamic channel allocation (EL-RIS-DCA) framework for interference mitigation in dense low-altitude remote sensing networks. The novelty of the proposed framework …


Lightweight Tinyml-Enhanced Task Offloading In Vanets For Next-Generation Intelligent Transportation Systems, Muhammad Ali, Tariq Qayyum, Asadullah Tariq, Zouheir Trabelsi, Irfan Ud Din, Shabir Ahmed Jan 2026

Lightweight Tinyml-Enhanced Task Offloading In Vanets For Next-Generation Intelligent Transportation Systems, Muhammad Ali, Tariq Qayyum, Asadullah Tariq, Zouheir Trabelsi, Irfan Ud Din, Shabir Ahmed

All Works

Vehicular Ad Hoc Networks (VANETs) face resource constraints, high node mobility, and stringent latency requirements, especially in safety-critical applications such as collision avoidance, path planning, and emergency braking. Task offloading to nearby vehicles or Roadside Units (RSUs) mitigates local computational limits, but dynamic conditions, unreliable nodes, and rapid topology changes complicate dependable node selection. This paper proposes a Tiny Machine Learning (TinyML)-enhanced, credibility-based task offloading framework for real-time decision-making in vehicular networks. RSUs evaluate vehicle reliability through a three-component Credibility Assessment Module: a Task Assignment Component that distributes lightweight test tasks and filters unreliable nodes via TinyML inference; a Verification …


Rumooz Aljareemah: An Intelligent Search System For Uae Criminal Law With Case Correlation Framework For Forensic Investigators, Rahaf Alnuaimi, Maryam Almarzooqi Jan 2026

Rumooz Aljareemah: An Intelligent Search System For Uae Criminal Law With Case Correlation Framework For Forensic Investigators, Rahaf Alnuaimi, Maryam Almarzooqi

All Works

Digital forensic investigations in the UAE encounter dual challenges: effectively correlating data across cases and complying with local legal frameworks. Conventional methods create information silos that hide connections between instances and increase the probability of procedural errors. This paper presents RUMOOZ ALJAREEMAH, a prototype platform for case correlation designed for cybersecurity experts and forensic investigators in the UAE. The approach integrates a correlation engine with a UAE-specific legal compliance framework, using authentication protocols, bilingual assistance, and text-based search algorithms. Our theoretical framework suggests enhancements in investigative efficiency, including reduced case resolution durations, improved identification of cross-case relationships, and a decrease …


Leveraging Quantum Storage Mechanism For Digital Forensic Readiness Towards Smart City Security, Bashaer Aljeneibi, Richard Ikuesan Jan 2026

Leveraging Quantum Storage Mechanism For Digital Forensic Readiness Towards Smart City Security, Bashaer Aljeneibi, Richard Ikuesan

All Works

The increasing digitization of urban infrastructure has introduced advanced efficiency and connectivity in smart cities while exposing them to sophisticated cybersecurity threats. This study explores how Quantum Storage Mechanisms (QSM) can be integrated with digital forensic readiness systems to enhance smart city security and incident response. Through a simulated environment, the research evaluates the effectiveness of QSM against three critical cyberattack scenarios: Distributed Denial of Service (DDoS), sensor spoofing, and supply chain firmware attacks. The findings reveal that QSM-enabled systems outperform traditional cybersecurity tools by ensuring tamper-proof evidence collection, real-time threat detection, and secure long-term data retention. The study also …


Changepoint Analyses Confirms Global Tropical Cyclone Frequency Decline, Michael Wehner, Thomas Fisher, Norou Diawara, Robert Lund Jan 2026

Changepoint Analyses Confirms Global Tropical Cyclone Frequency Decline, Michael Wehner, Thomas Fisher, Norou Diawara, Robert Lund

Mathematics & Statistics Faculty Publications

Changes in tropical cyclone frequencies as the climate warms is a topic of significant current debate [1, 2]. There is no accepted theory of how tropical cyclogenesis might respond to a warmer ocean-atmosphere system as multiple controlling factors exist [3–7]. Anthropogenic warming of surface ocean temperatures due to increased greenhouse gas concentrations [8] increases the potential for tropical cyclogenesis [9–11]; however, realized cyclogenesis also requires an initial local disturbance [12–16] to develop. Most multi-decadal tropical cyclone permitting climate models (i.e. resolutions of 15-50km) exhibit frequency decreases in warmer climates, despite the increase in tropical cyclogenesis potential [17–25]. In this paper, …


From Screens To Stress: Public Health Implications Of Cancer Worry In A Digitally Connected World, Shreya Mathur, Ethan Burns, Michael Pokojovy, Tzu-Liang Bill Tseng, Sunil Mathur Jan 2026

From Screens To Stress: Public Health Implications Of Cancer Worry In A Digitally Connected World, Shreya Mathur, Ethan Burns, Michael Pokojovy, Tzu-Liang Bill Tseng, Sunil Mathur

Mathematics & Statistics Faculty Publications

Aims:

This study examines how digital information environments, genetic testing experiences, health behaviors, and psychological distress influence cancer-related worry among adults in the United States. It further considers the public health implications of elevated or reduced cancer worry for prevention and risk communication.

Methods:

Data were drawn from a nationally representative survey of 6,252 U.S. adults. Measures included reliance on social media for health decision-making, smoking status, history of genetic testing, and psychological distress. Multivariable analyses assessed associations between these factors and levels of cancer worry.

Results/Findings:

Reliance on social media for health decisions was associated with greater cancer worry, …


A Composite Narxnn Approach To Photovoltaic Power Forecasting With Integrated Weather Inputs And Uncertainty Quantification, Denisse Urenda Castañeda, Sharmin Abdullah, Jackson Morgan, Honglun Xu, Michael Pokojovy, Tzu-Liang Tseng Jan 2026

A Composite Narxnn Approach To Photovoltaic Power Forecasting With Integrated Weather Inputs And Uncertainty Quantification, Denisse Urenda Castañeda, Sharmin Abdullah, Jackson Morgan, Honglun Xu, Michael Pokojovy, Tzu-Liang Tseng

Mathematics & Statistics Faculty Publications

Solar photovoltaics (PV) are a major source of sustainable energy. Yet, their power output is highly sensitive to environmental variability, particularly solar irradiance, cloud cover, wind, and temperature. Accurate forecasting of PV power is essential for efficient grid integration and energy planning, especially in applications requiring reliable longer-term forecasting rather than one-step-ahead predictions. This study presents a PV power forecasting approach using Nonlinear Autoregressive models with Exogenous Inputs (NARX), integrating large-scale numerical weather historical data as exogenous variables. Although NARX models effectively capture temporal dependencies, they can become overly dependent on historical power values, reducing responsiveness to real-time weather changes. …


A New Parallel-In-Time Direct Inverse Method For Nonlinear Differential Equations, Nail K. Yamaleev, Subhash Paudel Jan 2026

A New Parallel-In-Time Direct Inverse Method For Nonlinear Differential Equations, Nail K. Yamaleev, Subhash Paudel

Mathematics & Statistics Faculty Publications

We propose a new method for parallelization of the first-order backward difference discretization (BDF1) of the first-order time derivative in nonlinear partial differential equations, such as conservation law equations. The time derivative term is discretized by using the method of lines based on the implicit BDF1 scheme, while the inviscid and viscous terms are approximated by conventional 2nd-order central discretizations of the 1st- and 2nd-order derivatives in each spatial direction. The global system of nonlinear discrete equations in the space-time domain is solved by the Newton method for all time levels simultaneously. For the BDF1 discretization, this all-at-once system at …


Thermomechanical Modeling Of Transpiration Surfaces For Hypersonic Propulsion, Spencer D. Smith Jan 2026

Thermomechanical Modeling Of Transpiration Surfaces For Hypersonic Propulsion, Spencer D. Smith

Graduate Studies Theses and Dissertations 2026

Hypersonic flight vehicles are a promising form of high speed passenger transport and efficient space access architectures. However, they are fundamentally a thermally limited technology. High heat fluxes exceeding 10 MW/m2 and gas temperatures between 3000-4000K can be found both within the engine, and on the outer surface. Current conventional engineering materials are non-viable at these conditions. In order to make these materials viable, active cooling strategies could be utilized. One particularly promising type is transpiration cooling, where a coolant is diffused through a porous surface. Although researched heavily in the 1960s, adoption is still minimal. Part of the reason …


Associations Of Blood Pressure Level And Variability With Cortical Thickness: A Cross-Sectional Analysis From The Maracaibo Aging Study, Romeo De Leon, Shana Garza, Silvia Mejia-Arango, Kristina Vatcheva, Sokratis Charisis, Claudia L. Satizabal, Luis J. Mena, Joseph H. Lee, Joseph D. Terwilliger, Eron Manusov Jan 2026

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

School of Medicine Publications

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

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


The State Of The Region: Hampton Roads 2026, Dragas Center For Economic Analysis And Policy, Old Dominion University, Vinod Agarwal, Josh Andrews, Andrea Barcenas, Barbara A. Blake, Leora Friedman, Elizabeth Janik, Angela Kwao, James V. Koch, Feng Lian, Nathan Moore, Melody Nguyen, Terry Parker, Mohamed Rahoui Jan 2026

The State Of The Region: Hampton Roads 2026, Dragas Center For Economic Analysis And Policy, Old Dominion University, Vinod Agarwal, Josh Andrews, Andrea Barcenas, Barbara A. Blake, Leora Friedman, Elizabeth Janik, Angela Kwao, James V. Koch, Feng Lian, Nathan Moore, Melody Nguyen, Terry Parker, Mohamed Rahoui

State of the Region Reports: Hampton Roads

This is Old Dominion University’s 27th annual State of the Region: Hampton Roads Report. While it represents the work of many people connected in various ways to the university, the report does not constitute an official viewpoint of Old Dominion, its president, Brian Hemphill, Ph.D., the Board of Visitors, the Strome College of Business, or the generous donors who support the activities of the Dragas Center for Economic Analysis and Policy.

This year’s report provides an opportunity to reflect on the region’s recent economic performance and ask how changes in federal trade, immigration, civilian employment, and spending policy have impacted …


Reduced Threat-Related Neural Efficiency: A Possible Biomarker For Pediatric Anxiety Disorders, Julia O. Linke, Reut Naim, Simona P. Haller, Parmis Khosravi, Beck Scheinberg, Meghan E. Byrne, Anita Harrewijn, Ellen Leibenluft, Melissa A. Brotman, Anderson M. Winkler, Daniel Samuel Pine Jan 2026

Reduced Threat-Related Neural Efficiency: A Possible Biomarker For Pediatric Anxiety Disorders, Julia O. Linke, Reut Naim, Simona P. Haller, Parmis Khosravi, Beck Scheinberg, Meghan E. Byrne, Anita Harrewijn, Ellen Leibenluft, Melissa A. Brotman, Anderson M. Winkler, Daniel Samuel Pine

School of Medicine Publications

Objective: Pediatric anxiety disorders are common and predict adult psychopathology, yet current treatments, such as cognitive-behavioral therapy (CBT), produce lasting remission in less than 50% of affected youths. To support the search for improved, mechanistically grounded interventions, this study evaluated neural efficiency, defined as similarity in functional connectivity between a threat task and rest, as a potential biomarker. The study evaluated neural efficiency in relation to anxiety diagnosis and treatment response.

Methods: The authors compared 103 youths with an anxiety disorder diagnosis (mean age, 12.5 years [SD=2.91], 62% female) to 103 youths with no psychiatric diagnosis (mean age, 13.4 years …


The Impact Of Portfolio-Based Learning On Pre-Clinical Prosthodontics Competencies: A Randomized Educational Intervention, Anum Baqar, Farhan Saeed Vakani, Shumaila Rafi Jan 2026

The Impact Of Portfolio-Based Learning On Pre-Clinical Prosthodontics Competencies: A Randomized Educational Intervention, Anum Baqar, Farhan Saeed Vakani, Shumaila Rafi

Health Professions Education

     Purpose: This study aimed to assess the educational impact of routine course learning with or without the use of a portfolio and to compare the learning experiences of students using portfolios versus those who did not use them in preclinical prosthodontics.

     Methods: This randomized controlled educational intervention was conducted at Bahria University Dental College. Paper-based portfolio learning was implemented with 38 preclinical undergraduates as an educational intervention alongside the routine teaching of the prosthodontics course and was compared with conventional instruction. Portfolios were designed using structured learning activities aligned with the learning outcomes of the second-year prosthodontics curriculum. Participants’ knowledge …


Study And Evaluation Of The Trimester System In Ksau-Hs, Saudi Arabia, Ayesha Mukthar, Sharon Pricilla Jeevan Kumar Leela, Suchithra Koipurathu Rajappan Jan 2026

Study And Evaluation Of The Trimester System In Ksau-Hs, Saudi Arabia, Ayesha Mukthar, Sharon Pricilla Jeevan Kumar Leela, Suchithra Koipurathu Rajappan

Health Professions Education

Purpose: The study aimed to identify the perceptions of students, faculty and administrative staff in College of Science and Health Professions (COSHP), Al Ahsa campus, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), about the trimester system implemented in education sectors in the Kingdom of Saudi Arabia since the beginning of the Academic Year 2022-23 i.e. (1442) AH.

Methods: A cross-sectional study with a structured questionnaire of 30 closed-end items consisting of three sections was implemented. The first and second section focusses on the overall opinion, impact, and challenges observed as well as evaluating the trimester plan, the academic …


Psychometric Properties Of A Novel Affective Bias Task And Its Application In Clinical And Nonclinical Populations, Prathik Kalva, Kourtney Kanja, Brian A Metzger, Xiaoxu Fan, Brian Cui, Bailey Pascuzzi, John Magnotti, Madaline Mocchi, Raissa Mathura, Kelly R Bijanki Jan 2026

Psychometric Properties Of A Novel Affective Bias Task And Its Application In Clinical And Nonclinical Populations, Prathik Kalva, Kourtney Kanja, Brian A Metzger, Xiaoxu Fan, Brian Cui, Bailey Pascuzzi, John Magnotti, Madaline Mocchi, Raissa Mathura, Kelly R Bijanki

Faculty, Staff and Students Publications

To mitigate limitations in self-reported mood assessments, we introduce a novel affective bias task (ABT). The task quantifies instantaneous emotional state by leveraging the phenomenon of affective bias, in which people interpret external emotional stimuli in a manner consistent with their current emotional state. This study establishes task stability in measuring and tracking depressive symptoms in clinical and non-clinical populations. Initial assessment in a large non-clinical sample established normative ratings. Depressive symptoms were tracked relative to task performance in a non-clinical sample, as well as in a clinical cohort undergoing surgical evaluation for severe epilepsy. In both cohorts, a stronger …


Front Matter: The State Of The Region, Hampton Roads 2026, Dragas Center For Economic Analysis And Policy, Old Dominion University Jan 2026

Front Matter: The State Of The Region, Hampton Roads 2026, Dragas Center For Economic Analysis And Policy, Old Dominion University

State of the Region Reports: Hampton Roads

Cover, Front Matter, Table of Contents, Sponsors, and other materials for the 2026 The State of the Region Report authored by the Center for Economic Analysis and Policy at Old Dominion University.


Tau In Alzheimer’S Disease: Shaping The Future Patient Journey, Catherine J Mummery, Christopher Chen Li-Hsian, Cristian A Lasagna-Reeves, Rik Ossenkoppele, Christopher C Rowe, Douglas W Scharre, Huali Wang, Simon Kyaga, Jeffrey L Cummings Jan 2026

Tau In Alzheimer’S Disease: Shaping The Future Patient Journey, Catherine J Mummery, Christopher Chen Li-Hsian, Cristian A Lasagna-Reeves, Rik Ossenkoppele, Christopher C Rowe, Douglas W Scharre, Huali Wang, Simon Kyaga, Jeffrey L Cummings

Faculty, Staff and Students Publications

Alzheimer's disease is a complex and multifactorial disease characterized by two key pathological hallmarks: amyloid-beta plaques and tau neurofibrillary tangles. Recent progress has led to the development and approval of disease-targeted therapies for Alzheimer's disease in the form of anti-amyloid-beta monoclonal antibodies. However, findings suggest that amelioration of multiple pathological drivers may be required to maximize clinical effect. An increasing body of evidence suggests that tau is a critical player in Alzheimer's disease pathophysiology, contributing significantly to neurodegeneration and cognitive decline. There are now several tau-targeting drugs in clinical development. In this review, we build on research and advancements in …


Improving Timely Pain Reassessments And Documentation Using Nurse Education And Visual Reminders: A Quality Improvement Project, Madison Grace Jan 2026

Improving Timely Pain Reassessments And Documentation Using Nurse Education And Visual Reminders: A Quality Improvement Project, Madison Grace

Master's Theses and Capstones

Background: Effective pain management requires nurses to complete and document an entire pain assessment cycle, including the initial assessment, intervention, and reassessment (Wolters Kluwer, paragraph 5, 2020). Timely reassessments are essential for determining whether interventions were effective or if additional actions need to be taken to improve patient pain and comfort. Despite established hospital policies and guidelines, inconsistencies in timeliness of pain reassessments and associated documentation are a common challenge faced.

Local Problem: Baseline chart audits on a 22-bed combined pediatric and adult medical-surgical unit identified opportunities to improve adherence to timely pain assessments and documentation. With only 65% percent …


Improving Staff Knowledge And Consistency In Sat And Sbt Practices In The Critical Care Unit: A Quality Improvement Initiative, Morgan Crapo Jan 2026

Improving Staff Knowledge And Consistency In Sat And Sbt Practices In The Critical Care Unit: A Quality Improvement Initiative, Morgan Crapo

Master's Theses and Capstones

Abstract

Background: Spontaneous Awakening Trails (SATs) and Spontaneous Breathing Trials (SBTs) are key components of the ICU Liberation Bundle and have been associated with shorter durations of mechanical ventilation, reduced intensive care unit (ICU) length of stay (LOS), and improvement in patient outcomes. Despite having strong evidence supporting their use, implementation remains inconsistent due to knowledge gaps, workflow barriers and interdisciplinary communication challenges.

Local Problem: This quality improvement (QI) project aimed to improve critical care nurses’ knowledge and confidence regarding the implementation of SATs and SBTs through an evidence-based educational intervention.

Methods: Guided by the Plan-Do-Study-Act (PDSA) framework, this QI …


A Quality Improvement Project: Enhancing Nursing Knowledge And Patient Safety In The Prevention Of Hospital-Acquired Pressure Injuries (Hapis) In A Medical-Surgical Unit, Kristen Vartabedian Jan 2026

A Quality Improvement Project: Enhancing Nursing Knowledge And Patient Safety In The Prevention Of Hospital-Acquired Pressure Injuries (Hapis) In A Medical-Surgical Unit, Kristen Vartabedian

Master's Theses and Capstones

Background: Hospital-acquired pressure injuries (HAPIs) are a significant quality indicator within the hospital system. HAPIs increase hospitalization, morbidity, and associated healthcare costs. The current evidence suggests that ongoing nursing education can improve pressure injury prevention and help in the early identification.

Local Problem: Nurses within a medical-surgical unit demonstrated a gap in knowledge in the identification of hospital acquired pressure injuries and lack of accuracy when charting skin findings. Thus, contributing to a delay in recognition and treatment of HAPIs.

Methods: This quality improvement project utilized the Plan-Do-Study-Act (PDSA) framework to guide implementation of educational flipbooks. Materials contained standardized wound …


Implementing A Nurse Re-Education Program To Promote Timely Use Of The Jada® System In The Postpartum Hemorrhage Cascade: A Quality Improvement Project, Maegan E. Doody Jan 2026

Implementing A Nurse Re-Education Program To Promote Timely Use Of The Jada® System In The Postpartum Hemorrhage Cascade: A Quality Improvement Project, Maegan E. Doody

Master's Theses and Capstones

Background: Postpartum hemorrhage (PPH), defined as blood loss greater than 1,000 mL after delivery, is a leading cause of maternal morbidity in the United States. Identification of risk factors and timely intervention are critical to improving maternal outcomes after delivery. First-line interventions include manual uterine massage, uterotonic medications, and antifibrinolytic medications; however, when bleeding is not well controlled, the Jada® System (Jada) is a newer vacuum-induced hemorrhage control device with a high efficacy and safety profile, particularly when implemented earlier in the hemorrhage cascade.

Local Problem: In 2025, the annual rate of PPH within the microsystem was 7.29%, …


Enhancing Patient Safety And Team Communication Via Standardized Unit Handoff Tools In Inpatient Rehabilitation, Julia Rae Before Jan 2026

Enhancing Patient Safety And Team Communication Via Standardized Unit Handoff Tools In Inpatient Rehabilitation, Julia Rae Before

Master's Theses and Capstones

Abstract

Background: Interdisciplinary safety huddles in healthcare are used to facilitate staff communication, voice patient safety concerns and identify high acuity patients, as well as identify current unit issues that need resolution. Using characteristics of safety huddles, revising patient report sheets to include pertinent safety information often shared during huddles may lead to an increase in staff perception of communication as well as awareness to patient safety concerns. Within an in-patient rehabilitation hospital, anonymous staff reports indicated dissatisfaction with interprofessional communication and microsystem data revealed increased events of adverse patient outcomes and safety concerns. Baseline data indicated inconsistent patient handoff …


Enhancing Safety And Efficiency In Cardiac Admission Handoffs Through Implementation Of An I-Pass Checklist: A Quality Improvement Project, Soraia D. Barros Jan 2026

Enhancing Safety And Efficiency In Cardiac Admission Handoffs Through Implementation Of An I-Pass Checklist: A Quality Improvement Project, Soraia D. Barros

Master's Theses and Capstones

Abstract

Background: Effective care handoff is a necessary step for maintaining patient safety during hospitalizations. The goal of this quality improvement project was to improve the completeness of information, particularly cardiac-related, provided by the ED staff to the CSSU nurses. The implementation involved the creation of a cardiac checklist and applying it to the pre-existing I-PASS forms used during asynchronous handoff.

Local Problem: The macrosystem implemented an updated system for handoffs between the ED and CSSU by substituting an over-the-phone report with a faxed I-PASS sheet. The result, as identified by the CSSU staff, is that reports contain undetailed patient …


Advancing Safe Medication Administration During Pediatric Emergency Care Through Nurse Education: A Quality Improvement Project, Ciera Hunter Jan 2026

Advancing Safe Medication Administration During Pediatric Emergency Care Through Nurse Education: A Quality Improvement Project, Ciera Hunter

Master's Theses and Capstones

Background: Due to the increased complexities of pediatric medication administration, preventable errors occur at a higher rate than in general adult populations. Rural emergency departments (EDs) often see fewer pediatric patients and have less specialized support available on-site. Nurse continuing education is an evidence-based intervention to reduce medication administration errors making it vital to supporting patient safety and maintaining pediatric readiness.

Local Problem: The microsystem is a rural, critical access hospital in northern New England. In 2021, the microsystem scored 66/81 on the National Pediatric Readiness Project’s (NPRP’s) ED Assessment. In 2026, the score dropped 11 points to 55/81. Contributing …


Addressing Perception Of Nurse Burnout Through Educational Interventions On An Inpatient Hematology And Oncology Unit: A Quality Improvement Project, Kendra Flint Jan 2026

Addressing Perception Of Nurse Burnout Through Educational Interventions On An Inpatient Hematology And Oncology Unit: A Quality Improvement Project, Kendra Flint

Master's Theses and Capstones

Introduction Nurse burnout is a growing concern in healthcare due to its negative effects on nurse well-being, staff retention, patient safety and quality of care. This quality improvement project evaluated whether a brief educational intervention could improve nurses’ confidence in recognizing and managing early signs of burnout within an inpatient hematology and oncology unit.

Methods This QI project utilized the Plan-Do-Study-Act (PDSA) framework to guide implementation and evaluation. Registered nurses completed anonymous pre- and post- intervention electronic surveys and descriptive statistics were used to compare change in self-reported confidence and burnout perception.

Intervention Participants were directed through a brief electronic …


Promoting Safe And Effective Ciwa-Ar Protocol Adherence On An Inpatient Psychiatric Unit Through An Educational Reference Poster: A Quality Improvement Project, Kenan J. Gray Jan 2026

Promoting Safe And Effective Ciwa-Ar Protocol Adherence On An Inpatient Psychiatric Unit Through An Educational Reference Poster: A Quality Improvement Project, Kenan J. Gray

Master's Theses and Capstones

Abstract

Background: Alcohol withdrawal syndrome (AWS) can progress to seizures, delirium tremens, and autonomic instability. The Clinical Institute Withdrawal Assessment for Alcohol–Revised (CIWA-Ar) supports symptom-triggered AWS management, but safe use depends on timely nursing assessment, reassessment, and documentation.

Local Problem: On an adult inpatient psychiatric unit, chart audits identified CIWA-Ar protocol adherence gaps, including missed four-hour assessments and one-hour reassessments after lorazepam.

Methods: This quality improvement project used the Plan-Do-Study-Act model. Three educational reference posters were placed in high-visibility staff areas with QR-linked access to the facility’s AWS protocol and CIWA-Ar scoring guidelines. Outcomes were evaluated using pre- and post-intervention …