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The Current - Volume 36 Issue 1, Nova Southeastern University Aug 2025

The Current - Volume 36 Issue 1, Nova Southeastern University

Student Newspapers

No abstract provided.

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Insights Regarding The Role Of Administrative Support And Teacher Retention In A Suburban Arizona School District, Kristen Louise Tiffany Aug 2025

Insights Regarding The Role Of Administrative Support And Teacher Retention In A Suburban Arizona School District, Kristen Louise Tiffany

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study is that teachers are leaving the profession in an Arizona high school district (AHSD, a pseudonym), which might be due to a lack of administrator support. The purpose of this basic qualitative study was to explore teachers’ perceptions of reasons they chose to remain in their positions as well as administrators’ perceptions on the support they provide to encourage teacher retention at AHSD. Grounded in Bandura’s social cognitive theory, semistructured interviews were conducted with six administrators and 10 teachers from AHSD. Saldana’s pattern coding was used with the following themes emerging: Teachers …

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Understanding Loss To Follow-Up: The Role Of Social Determinants Of Health In Infants Referred After A Positive Newborn Screening – A Quantitative Analysis, Betsy Graham-Moeller Graham-Moeller Aug 2025

Understanding Loss To Follow-Up: The Role Of Social Determinants Of Health In Infants Referred After A Positive Newborn Screening – A Quantitative Analysis, Betsy Graham-Moeller Graham-Moeller

Walden Dissertations and Doctoral Studies

Newborn screening (NBS) is a vital U.S. public health initiative that identifies medical conditions shortly after birth. Patients with positive screenings are referred for medical follow-up or evaluation. However, many patients do not receive the recommended long-term follow-up, posing concerns for healthcare providers and public health professionals working to ensure timely treatment and care continuity. Based on the Social Determinants of Health framework, this quantitative, retrospective cohort study aimed to examine demographic and clinical factors associated with follow-up adherence among 691 infants identified through NBS in Colorado and Wyoming. The purpose of the study was to determine whether race, ethnicity, …

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Relationship Between Perioperative Nurses’ Perception Of Empowerment Versus Burnout And Intent To Leave In A Level 1 Hospital On The East Coast, Kelly D. Sambrano Aug 2025

Relationship Between Perioperative Nurses’ Perception Of Empowerment Versus Burnout And Intent To Leave In A Level 1 Hospital On The East Coast, Kelly D. Sambrano

Walden Dissertations and Doctoral Studies

Retaining perioperative nurses is vital for maintaining high-quality care, operational efficiency, and financial stability in healthcare settings. These nurses are integral to surgical care and require significant training and resources, making their retention a strategic priority. This quantitative study, grounded in Kanter’s theory of structural empowerment, used secondary data to explore two main questions: (a) Which demographic factors—such as age, experience, training, certification, and loyalty predict empowerment, burnout, and intent to leave? and (b) How do empowerment and job satisfaction influence the intent to stay? With nearly 20% of the perioperative workforce expected to retire within five years, identifying retention …

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Predicting Utilization Of Mental Health Services Among Undergraduate Nursing Students On College Campuses In The Mississippi Delta, Deidra Michelle Byas Aug 2025

Predicting Utilization Of Mental Health Services Among Undergraduate Nursing Students On College Campuses In The Mississippi Delta, Deidra Michelle Byas

Walden Dissertations and Doctoral Studies

Over recent years, concerns about the mental health of nursing students in the Mississippi Delta have increased. However, research indicated that many nursing students do not utilize mental health services. This population has received little research attention, creating a gap in the literature and leaving counselor educators and supervisors ill-equipped to prepare counselors to meet the needs of nursing students. This quantitative study examined whether attitudes toward mental health services, social and cultural stigmas, and demographic characteristics explained the variance in nursing students’ willingness to seek help. Guided by the Theory of Planned Behavior, the study focused on three areas: …

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Enhancing Social Determinants Of Health Education In Home Health Care Including Social Determinants Of Health In Assessments And Care Plans For Home Health Clinicians, Emilia Mbanwite Aug 2025

Enhancing Social Determinants Of Health Education In Home Health Care Including Social Determinants Of Health In Assessments And Care Plans For Home Health Clinicians, Emilia Mbanwite

Walden Dissertations and Doctoral Studies

This staff education-focused doctor of nursing practice (DNP) project addressed the critical practice problem of one southern health care facility staff’s knowledge on the integration of social determinants of health (SDOH) into home health care plans. Despite SDOH screening, clinicians lacked standardized training to effectively assess and intervene on factors such as housing, transportation, and food insecurity, contributing to preventable hospitalizations, particularly in vulnerable populations. The practice-focused question addressed whether an evidence-based education module could improve home health nurses’ knowledge and application of SDOH in assessments and care plans. The project’s purpose was to develop, implement, and evaluate this training …

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Reconciling Harm Reduction Philosophy And Approaches Among Abstinence-Only Substance Abuse Treatment Professionals, Amy Rose Ashton-Williams Aug 2025

Reconciling Harm Reduction Philosophy And Approaches Among Abstinence-Only Substance Abuse Treatment Professionals, Amy Rose Ashton-Williams

Walden Dissertations and Doctoral Studies

Historically, substance use disorder (SUD) treatment in the United States has been firmly grounded in abstinence-only treatment approaches. Harm reduction as a treatment model has gained additional traction. With increased rates of opioid use, overdoses, and advancements in medications for SUDs, harm reduction treatment approaches are becoming more important to improve lives of people who use drugs. Little is known about how counselors who have been educated, trained, and deliver abstinence-based SUD treatment reconcile use of harm reduction into their practice. To address this gap in literature, a generic qualitative study was conducted using the social constructivism theory. A purposive …

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Development Of Turbulence Models For Prediction Of Hypersonic Flows Using Compressibility Corrections And Uncertainty Quantification With Emphasis On The Wray-Agarwal Model, Aidan Robert Murphy Aug 2025

Development Of Turbulence Models For Prediction Of Hypersonic Flows Using Compressibility Corrections And Uncertainty Quantification With Emphasis On The Wray-Agarwal Model, Aidan Robert Murphy

McKelvey School of Engineering Graduate Student Theses & Dissertations

Accurate prediction of high-speed compressible turbulent flows remains one of the most significant challenges in Computational Fluid Dynamics (CFD), especially in the realm of hypersonic vehicle design. These flow regimes involve significant aerodynamic heating and shock-wave boundary layer interactions (SBLI) which remain a significant challenge for the current CFD prediction capabilities. While Direct Numerical Simulation (DNS) and Large-Eddy Simulation (LES) provide high-fidelity solutions, their computational demands limit their usability, making the Reynolds-Averaged Navier-Stokes (RANS) equations an efficient alternative for many industrial aerodynamic applications. Traditional RANS techniques, while computationally efficient, often provide limited accuracy in high-speed flows due to the presence …

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A Novel P–N Junction Uio-66/Agins2 For Photodegradation Of Enrofloxacin Under Visible Light, Sajedeh Sadat Hashemipoor, Reza Fazaeli, Hamid Reza Moghadam Zadeh, Mehdi Arjomand Aug 2025

A Novel P–N Junction Uio-66/Agins2 For Photodegradation Of Enrofloxacin Under Visible Light, Sajedeh Sadat Hashemipoor, Reza Fazaeli, Hamid Reza Moghadam Zadeh, Mehdi Arjomand

Turkish Journal of Chemistry

The formation of a heterogeneous junction between photocatalysts may be a potential solution for removing medicinal compounds from wastewater, which is crucial due to the environmental and health risks. The present study aims to investigate the efficacy of UiO-66/AgInS2 p–n junction photocatalyst—a Zr-based metal-organic framework—in degradation of enrofloxacin (ENR) antibiotic using visible light. UiO-66, AgInS2 (AIS), and UiO-66/AIS semiconductors were characterized using various techniques. The comparative analysis of particle structural parameters utilized diverse methodologies, and response surface methodology (RSM) was applied for the optimization of ENR degradation. The degradation kinetics of ENR were investigated. We identified UiO-66/AIS as a p–n …

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Ski Resort Cybersecurity, Nathan Clark Aug 2025

Ski Resort Cybersecurity, Nathan Clark

All Student Scholarship

By comparing ski resorts to other industries, such as beach resorts, infrastructure, and live events, this study aims to establish a foundation of understanding for ski hills. Through an analysis of data collected from state-level data breach lists and corporate filings required by the SEC, the study utilizes this broader scope to identify the primary cyber concerns facing the ski industry. The study aims to identify the unique cybersecurity challenges faced by ski resorts and compare them in terms of security concerns with those in large-scale events and the tourism industry.

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Combining Code Analysis And Pedagogical Guidance: Automated Tools For Teaching Debugging In Introductory Programming, Yana Malysheva Aug 2025

Combining Code Analysis And Pedagogical Guidance: Automated Tools For Teaching Debugging In Introductory Programming, Yana Malysheva

McKelvey School of Engineering Graduate Student Theses & Dissertations

The ability to debug code is critical to being a programmer and represents a distinct skill from writing code. Yet debugging is rarely explicitly taught in introductory programming and Computer Science courses. Instead, novices typically develop their own debugging habits and strategies when they encounter bugs in their code, which are often less effective than those of expert programmers. When students do seek help with debugging, they traditionally turn to office hours conducted by Teaching Assistants (TAs) or, increasingly, to Large Language Models such as ChatGPT. However, both sources of assistance have limitations. TAs are often students themselves with limited …

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Code Stories For Software Evolution, John Joseph Allen Aug 2025

Code Stories For Software Evolution, John Joseph Allen

McKelvey School of Engineering Graduate Student Theses & Dissertations

Programmers spend more than half of their time comprehending code, and in particular struggle to answer questions about the rationale, intent, and history behind software artifacts. Through this dissertation, I explore how history-aware tools can help programmers understand unfamiliar software artifacts. First, I investigated how providing additional context -- historical code changes grouped by the original developer's stated subgoals and the web foraging activity of the original developer impacted the process of code reuse. I found that programmers utilized these resources to 1) make better analogies between their reuse scenario and what code was already written, and 2) anchor into …

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Multi-Layer Support For Component-Based Cyber-Physical Systems Applications, Oren Bell Aug 2025

Multi-Layer Support For Component-Based Cyber-Physical Systems Applications, Oren Bell

McKelvey School of Engineering Graduate Student Theses & Dissertations

Component-based design is a paradigm meant to aid in development of software applications by modularizing different functionalities of a system. This building-block approach is used extensively in cyber–physical and robotic systems. Common and established solutions to specific problems, such as perception nodes, state estimators, and motion planners, can be developed, verified, and reused as off-the-shelf modules. These modules may be integrated atop today’s heterogeneous hardware platforms, where an application can be distributed across GPUs, FPGAs, and CPU cores. When heterogeneous computational devices share the workload of a collection of components, the very act of integration may inject timing uncertainty. For …

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Applying Machine Learning To Developmental Psychopathology, Robert Jesus Jirsaraie Aug 2025

Applying Machine Learning To Developmental Psychopathology, Robert Jesus Jirsaraie

McKelvey School of Engineering Graduate Student Theses & Dissertations

Psychopathology arises from a combination of many contributing factors, which can include genetic predispositions, family history, environmental stressors, developmental processes, and psychosocial dynamics. Each of these contributing factors has been researched for decades, and their influences on mental health have been well documented. In recent years, there has been a growing enthusiasm for integrating these risk factors using machine learning. However, there are a wide array of data-driven frameworks that have been implemented, and the relative strengthens of each approach is not clear. Through of series of four research studies, we examined each data-driven approach in terms of its potential …

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Harnessing Metabolic Modeling And Artificial Intelligence For Next-Generation Bioproduction, Zhengyang Xiao Aug 2025

Harnessing Metabolic Modeling And Artificial Intelligence For Next-Generation Bioproduction, Zhengyang Xiao

McKelvey School of Engineering Graduate Student Theses & Dissertations

Bioproduction in microbial hosts faces two main challenges: (1) unique metabolism of each species is difficult to generalize, and it requires precise quantification before metabolic engineering. (2) Past experiment data are fragmented in different studies, making it difficult to combine these non-standardized data for future experiment design. These challenges lead to high costs and risks in scaling up biomanufacturing processes, where R&D requires substantial budgets and iterative experiments are expensive. This thesis addresses both challenges through two research pillars. Part I uses 13C metabolic flux analysis (MFA) and genome-scale model (GSM) to investigate metabolic limitations in bioproduction hosts. In Escherichia …

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Moment Ensemble Approaches For Estimation And Robust Quantum Control, Andre Luiz Paes De Lima Aug 2025

Moment Ensemble Approaches For Estimation And Robust Quantum Control, Andre Luiz Paes De Lima

McKelvey School of Engineering Graduate Student Theses & Dissertations

Large-scale population dynamics governed by ensemble systems present significant challenges due to their inherently high dimensionality. Recent advances have demonstrated the effectiveness of moment-based methods (particularly those employing polynomial bases such as Legendre and Chebyshev polynomials) when integrated with optimization techniques for control design in ensemble systems. However, these methods have not been extensively explored for enhancing robustness against systematic noise, nor have they been widely applied to complex quantum systems involving multi-parameter configurations and entanglement phenomena. In this work, we extend the application of moment methods in ensemble systems through two projects. Initially by developing a Kalman filter analogue, …

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Towards Graph Foundation Models: Few-Shot And Zero-Shot Learning On Graphs, Hao Liu Aug 2025

Towards Graph Foundation Models: Few-Shot And Zero-Shot Learning On Graphs, Hao Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Graphs naturally model complex relationships and interactions across various domains, including social networks, biological systems, and recommender platforms. Graph Neural Networks (GNNs) have emerged as powerful tools for learning effective graph representations through iterative message passing, significantly improving performance in tasks such as node classification, link prediction, and graph classification. However, the success of GNNs largely depends on abundant labeled data, posing challenges in practical scenarios where labeled data is scarce or unavailable. This dissertation addresses these challenges by exploring few-shot and zero-shot learning within the graph domain. We first propose COLA, a self-supervised few-shot node classification method that exploits …

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Spatial Patterns In Electronic Health Record Data-Based Predictive Modeling: A Case Study Of Prenatal Care And Preeclampsia, Abigail Lewis Aug 2025

Spatial Patterns In Electronic Health Record Data-Based Predictive Modeling: A Case Study Of Prenatal Care And Preeclampsia, Abigail Lewis

McKelvey School of Engineering Graduate Student Theses & Dissertations

The electronic health record (EHR) documents interactions between patients and healthcare systems and is widely used for secondary research on health outcomes due to broad adoption. While EHR data support efficient clinical informatics research, they are subject to biases stemming from healthcare seeking behavior, health system attributes, and individual or environmental characteristics. Place-based characteristics, in particular, strongly influence when and how patients access care and shape health outcomes. These biases in EHR data can affect predictive modeling pipelines which leverage them, contributing to variation in model performance across groups. In healthcare, where predictive models are increasingly used to guide care, …

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Developing Aerosol Representation In Atmospheric Modeling, Inderjeet Singh Aug 2025

Developing Aerosol Representation In Atmospheric Modeling, Inderjeet Singh

McKelvey School of Engineering Graduate Student Theses & Dissertations

Ambient aerosols affect climate and air quality in the Earth system. Global chemical transport models used to study these impacts require an accurate representation of aerosols in terms of shape, composition, and vertical distribution. For example, despite having a complex morphology, mineral dust is often treated as spherical particles in these models. This can lead to errors in optical properties calculations, trace gas retrievals, and heterogeneous chemistry. Similarly, inaccurate representation of the vertical distribution of smoke particles in these models can lead to uncertainties in air quality assessments. Aerosol composition also plays a critical role in determining radiative forcing and …

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Computational Imaging Under Incomplete Information, Weijie Gan Aug 2025

Computational Imaging Under Incomplete Information, Weijie Gan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Computational imaging is a pivotal field that synergizes physical measurement principles with advanced algorithms to generate visual information. An important task in this field is solving imaging inverse problems that aim to reconstruct high-quality images from observed measurements. Model-based deep learning (MBDL) has emerged as a particularly powerful tool for tackling these inverse problems by integrating machine learning (ML)-driven priors with knowledge of the imaging physics. This dissertation focuses on the pervasive challenge of informational incompleteness in computational imaging, arising from various practical and physical limitations, that hinder the widespread adoption of ML-driven computational imaging algorithms in practice. This includes: …

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Intravital Optical Imaging Of Peripheral Nerve Injury Response, Igor Luzhansky Aug 2025

Intravital Optical Imaging Of Peripheral Nerve Injury Response, Igor Luzhansky

McKelvey School of Engineering Graduate Student Theses & Dissertations

Peripheral nerve injuries in animal models require imaging approaches that can reveal the dynamic, multiscale process of regeneration over time without disrupting repair mechanisms. Traditional methods lack the ability to visualize cellular behavior and matrix remodeling continuously. We present an imaging technique based on an implantable nerve window and fluorescent labeling, enabling high-resolution, longitudinal cellular-scale observation of peripheral nerve regeneration in living mice. We first evaluated near-infrared fluorophore-conjugated fibrin as a transient marker for early regenerative tissue within nerve guidance conduits. Imaging performed upon surgical re-exposure of the nerve revealed the incorporation of fibrin into early-stage regenerative cables, with gradual …

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Multimodal Representation Learning For Geospatial Soundscape Mapping, Subash Khanal Aug 2025

Multimodal Representation Learning For Geospatial Soundscape Mapping, Subash Khanal

McKelvey School of Engineering Graduate Student Theses & Dissertations

Sound is one of the fundamental senses that helps us reason about our environment. There exists an intricate relationship between the visual appearance of a location and the distribution of sounds present there. We propose leveraging this relationship to formulate the task of soundscape mapping—predicting the most probable distribution of sounds that could be perceived at a given geographic location, as observed in its overhead imagery. To support research on this task, we curated a comprehensive dataset, GeoSound, which consists of geotagged audio recordings from various sources, paired with both low- and high-resolution overhead imagery. We approach the soundscape mapping …

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Faster, Higher, Stronger: Modern Methodologies For The Calibration, Exploration, And Utilization Of Agent-Based Models, David O'Gara Aug 2025

Faster, Higher, Stronger: Modern Methodologies For The Calibration, Exploration, And Utilization Of Agent-Based Models, David O'Gara

McKelvey School of Engineering Graduate Student Theses & Dissertations

Increases in computing power and availability have led to the widespread use and adoption of agent-based models (ABMs) in the physical, biological, and social sciences. At their core, ABMs represent a novel paradigm for scientific inquiry: their micro-level specification allows for the simulation of the individual components of a system which yields a deeper understanding of dynamic processes such as contagion and adaptive decision-making when used appropriately. However, several hurdles exist when attempting to use ABMs to their full potential. In this thesis, we will explore and address several challenges in designing and utilizing ABMs, with a focus on applying …

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Spectral Mixture Analyses Of Hematite-Rich And Clay-Bearing Terrains In Meridiani And Oxia Planum, Mars, Thomas Jake Condus Aug 2025

Spectral Mixture Analyses Of Hematite-Rich And Clay-Bearing Terrains In Meridiani And Oxia Planum, Mars, Thomas Jake Condus

Arts & Sciences Graduate Student Theses and Dissertations

Minerals have characteristic absorption features in the visible and near-infrared wavelength range, which can be detected in remotely sensed observations using methods such as spectral parameter maps or modeled via spectral mixtures. My dissertation uses both methods on orbital and ground-based single-scattering albedo data to assess the surface compositions of Meridiani Planum and Oxia Planum, regions of Mars that are rich in secondary minerals. A probabilistic approach to spectral unmixing was adopted to account for the nonuniqueness of model solutions, with endmember abundance and grain size maps being produced for Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) orbital images. For …

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Development, Numerical Simulation, And Optimization Of Quiet Supersonic Transport Aircraft And Extension Of The Wray-Agarwal Algebraic Transition Model To Include Compressibility And Crossflow Effects, Dean Ryan-Simmons Aug 2025

Development, Numerical Simulation, And Optimization Of Quiet Supersonic Transport Aircraft And Extension Of The Wray-Agarwal Algebraic Transition Model To Include Compressibility And Crossflow Effects, Dean Ryan-Simmons

McKelvey School of Engineering Graduate Student Theses & Dissertations

In the first part of this thesis, the goal of the research is to implement and extend multi fidelity methods for conceptual design and optimization of a commercial supersonic transport (SST). Most modern commercial aircraft operate at a cruise condition between Mach 0.7 and 0.9, as this is the optimal trade-off of flight efficiency, operational cost, and adherence of noise regulations for overland travel. Advancements in aviation propulsion fuel efficiency and design materials suggests a primary restraint on commercial supersonic transport is noise regulations. At speeds above Mach 1, the shock waves generated by the airframe are strong enough to …

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A Control Theoretic Approach To The Stochastic Multi-Armed Bandit Problem With Applications In Hyperparameter Optimization, Jonathan Gornet Aug 2025

A Control Theoretic Approach To The Stochastic Multi-Armed Bandit Problem With Applications In Hyperparameter Optimization, Jonathan Gornet

McKelvey School of Engineering Graduate Student Theses & Dissertations

Decision-making under uncertainty is a fundamental problem encountered frequently in many real-world applications. This challenge has been rigorously formulated as the Stochastic Multi-Armed Bandit (SMAB) problem, which consists of a learner interacting with an environment. For each interaction, the learner selects an action and then receives a reward from the environment based on the chosen action. The learner's objective is to maximize the accumulated reward over a set number of rounds. This thesis addresses the SMAB problem by leveraging the field of Control Theory and dynamical systems. We specifically focus on a SMAB environment where the rewards are the output …

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Relationships Between Household Economic Distress And Child Mental Health: Determinants, Mechanisms, And Interventions, Yuanyuan Yang Aug 2025

Relationships Between Household Economic Distress And Child Mental Health: Determinants, Mechanisms, And Interventions, Yuanyuan Yang

Brown School Graduate Student Theses and Dissertations

Economic inequality has grown dramatically worldwide, creating serious problems for children and families. At the same time, child and adolescent mental health problems have reached crisis levels, yet many of them cannot access treatment. Researchers have studied how economic inequality affects mental and behavioral health, but most of this work focuses on adults rather than children. This dissertation used recent data from the Panel Study of Income Dynamics (2019 and 2021 waves) to unpack the complex relationships between household economic distress and child mental health across multiple levels, including individual, family, school, and community factors in the United States. This …

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Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2024 Site-Wide Surface Water Monitoring Data Summary Report (Dated May 30, 2025), Emma Rott Aug 2025

Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2024 Site-Wide Surface Water Monitoring Data Summary Report (Dated May 30, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Teachers’ Perceptions Of Digital Citizenship In A Local U.S. Public Middle School, Rebekah A. Watson Aug 2025

Teachers’ Perceptions Of Digital Citizenship In A Local U.S. Public Middle School, Rebekah A. Watson

Walden Dissertations and Doctoral Studies

The problem addressed in this study was that although there are computer science standards requiring teachers to integrate digital citizenship skills to practice safe and ethical behaviors, local U.S. public middle school teachers were struggling to develop students’ digital citizenship skills. The purpose of this qualitative study was to explore local rural public middle school teachers’ perceptions of building students’ digital citizenship skills, and to identify the training and supports teachers need to improve performance in this area. Ribble’s theory of digital citizenship was used for the conceptual framework. For this basic qualitative design, semistructured interviews were conducted with nine …

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Using Exercise To Treat Anxiety In Adult Patients With Addiction, Emmanuella N. Nnadozie Aug 2025

Using Exercise To Treat Anxiety In Adult Patients With Addiction, Emmanuella N. Nnadozie

Walden Dissertations and Doctoral Studies

Summary In this Doctor of Nursing Practice (DNP) project, I selected a staff education as the best intervention to improve staff knowledge in using exercise to treat anxiety disorders in adult patients at a recovery clinic for addiction. Anxiety disorders are highly prevalent among individuals undergoing substance abuse treatment, often exacerbating withdrawal symptoms and increasing relapse risks; thus, integrating the use of exercise in addition to existing standard care for anxiety treatment in individuals with substance use disorder (SUD) will lead to decreased anxiety, decreased alcohol use and drug cravings, improved quality of life and affect, increased abstinence, and improve …

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