Digital Commons Network^™

Design And Synthesis Of Crosslinkable Amphiphilic Pegylated Poly(Amino Acid) Copolymers For Spion Encapsulation, Adekunle Titus Akinmola

Dissertations

The development of polymeric micelles for biomedical applications has been of significant interest due to their potential for targeted delivery for therapeutic and diagnostic agents. This dissertation focusses on the synthesis, characterization, and application of amphiphilic PEGylated poly(amino acid) block copolymers as nanocarriers for superparamagnetic iron oxide nanoparticles (SPIONs) in magnetic particle imaging (MPI). Series of novel diblock and triblock copolymers were synthesized through ring-opening polymerization of amino acid N-Carboxyanhydrides (NCAs) to afford HO-PEG77-b-p(L-Leu)m and HO-PEGx-b-p(Allyl-L-Gly)10-b-p(L-Leu)n. These polymers were further functionalized to yield their folate conjugates through dicyclohexylcarbodiimide (DCC) coupling. NMR and FTIR were used to verify the chemical structures …

Air-Breathing Hypersonic Missile Control Using Adaptive Higher Order Sliding Mode Control Driven By Finite- And Fixed-Time Sliding Mode Observers, Polk Yu

Dissertations

This research is focused on the study of the trajectory tracking of a Hypersonic Missile (HM) in its terminal phase of flight in light of the cross coupling, high nonlinearity, and uncertainty in the missile dynamics. This is coupled with unmatched disturbances and perturbations that all need to be compensated for in a really short time. In this research, a relative degree approach is utilized to design an adaptive higher order sliding mode control (AHOSM) for controlling the nonlinear perturbed HM. This technique allows for the proposed observation/differentiation/control (autopilot) algorithms equipped with adaptation capabilities to be employed for designing the …

Mutual Coupling Reduction Techniques In Transverse-Electric-Mode And Hybrid-Mode Microstrip Patch Antenna Arrays, Matthew A. Adams

Dissertations

When the elements of an antenna array are closely spaced, the electromagnetic coupling between them can distort the radiation patterns of the individual elements and change their input impedances, causing significant degradation in the array’s performance. Numerous mutual coupling reduction methods exist in the current literature, each of which allows array elements to be closely spaced while being well-isolated from each other. This dissertation investigates mutual coupling reduction techniques for microstrip patch antenna arrays utilizing elements that excite the fundamental transverse electric (TE) mode. First, a mutual coupling reduction method inspired by the TE-mode microstrip patch cavity model is proposed …

Perceptions Of Influence And Collaboration Amongst Healthcare Providers, Nurses And Allied Health Professionals, Barbara Harrison

Dissertations

Problem

While attention to interprofessional collaboration is increasingly present in academic settings and in clinical practice, there is little understanding of the role power, specifically the scope of influence, plays in interprofessional collaboration.

Method

Targeted cross-sectional sampling was used to select possible candidates to participate in this quantitative study. An email invitation was sent to healthcare providers, nurses and allied healthcare professionals in a multi-hospital healthcare system in the mid-western United States of America. Willing participants proceeded to the Microsoft Forms survey via an embedded link which was available to them for eight days. The survey sought demographic information, and …

Navigating Big Data In Cyber Archaeology: An Updated Four-Field Approach Applied To San Miceli, Jared Wilson

Dissertations

Problem

This dissertation examines the evolving role of digital technologies in archaeological research, focusing on the management and interpretation of extensive digital datasets generated by modern excavations. Drawing on six years of comprehensive fieldwork at San Miceli, Sicily, this study critically evaluates and updates the established four-field methodology proposed by Levy et al. (2012), encompassing acquisition, analysis, dissemination, and curation. While traditional archaeological documentation methods rely heavily on analog techniques, these approaches increasingly fall short due to the rapid expansion and complexity of digital data.

Method

To address this gap, the dissertation refines and expands the current methodological framework by …

The Inequitable Access: Black And Latinx Students In Ap Courses, Jean C. Woolcock

Dissertations

This study posits that in American high schools, the preparation of Black and Latinx students, starting from the freshman year, can be effective in helping to increase their participation in Advanced Placement (AP) courses. Structural inequities, in how schools are resourced, affect the ways in which Black and Latinx students are denied equal opportunities. On the contrary, members of their peers do obtain this kind of preparation. As a framework, Critical Race Theory (CRT) contends that race, the law, and power are deeply ingrained in maintaining established bastions of wealth and dominance. Gaps in opportunity and achievement spill over into …

Selecting For Lysis In A Temperate Phage Population, Haley Atkins

Dissertations

The ongoing evolutionary arms race between bacteria and bacteriophages (phages) is a prime example of Red Queen hypothesis, where continuous adaptation drives survival. This study focuses on Escherichia coli-infecting temperate phages, which dominate natural environments and contribute to bacterial resistance mechanisms. Despite their prevalence, temperate phages are less suited for phage therapy due to their lysogenic life cycle, where they integrate into bacterial genomes instead of lysing the host. In contrast, obligately lytic phages, which directly lyse bacterial cells, are ideal for therapeutic use but occur less frequently in nature. This research aims to select for lytic behavior in temperate …

What Makes A Teacher A Teacher: A Philosophical Approach Aligned With Plato, Sojung Kim Hinterkopf

Dissertations

This thesis investigates how contemporary U.S. educational accountability policies—namely No Child Left Behind (NCLB) and Race to the Top (RttT)—redefine the role of teachers through a compliance-oriented lens. Moving beyond logistical and emotional impacts, this study applies Plato’s Allegory of the Cave as a philosophical framework to uncover the intellectual and ethical constraints imposed on educators. Through qualitative document analysis of federal policy texts, three metaphorical themes—shackles, shadows, and enlightenment—emerged to represent how teachers are bound by data-driven mandates, compelled to perform surface-level success, and yet still retain the potential to guide students toward deeper intellectual engagement. The findings reveal …

Anti-Inflamatory Mechansim Of Bacillus Subtilis Derirved Exopolysaccharide, Adrian Taylor Ibarra

Dissertations

Exopolysaccharides (EPS) secreted by the commensal bacterium Bacillus subtilis exhibit potent anti-inflammatory properties, yet the underlying molecular mechanisms remain incompletely understood. We hypothesized that EPS reprograms antigen-presenting cells toward a tolerogenic state by modulating TLR4–MyD88 signaling. To test this, we began using a chemically defined, high-yield EPS production and purification protocol that largely eliminates protein and DNA contaminants, thus improving functional reproducibility across experiments using this new method. In vitro, EPS engaged TLR4 on murine dendritic cells (DC2.4) without inducing classical NF-κB activation, seen by LPS stimulation. Rather, EPS treatment upregulated inhibitory molecules, PD-L1 and PD-L2 while leaving activation markers, …

Developing Chemically Defined Serum-Free Medium For Leukemic Blast And Stem Cell Expansion, Carmen Eva Finley

Dissertations

The relapse and chemotherapy resistance are the major challenges of acute myeloid leukemia (AML) treatment, driven by a rare population of leukemia stem cells (LSCs). LSCs are unique types of cells which evade standard chemotherapies and can regenerate AML post-treatment. Targeting LSC therapy remains limited, in part due to the lack of reliable in vitro AML culture systems to grow LSCs for drug discovery. This study aimed to engineer a chemically defined, serum-free 2D in vitro culture condition that supports either the expansion of leukemic blasts (LBs) or primary human LSCs by optimizing current protocols for hematopoietic stem cells (HSCs) …

“What’S Happening In The Gulf Of Maine?”: Middle School Students’ Engagement In Climate Science Through Data Visual Representation And Reflections, Grace Ocular

Dissertations

This study examined how middle school students engaged with science concepts while working with data visualizations during a field trip learning experience. Fifty-one teams of 2–4 students from 35 schools participating in the LabVenture program were video- and audio-recorded. Students completed two activities: one using a frequency table of marine species illustrating threats to Maine’s lobster population, and another using maps depicting changes in Gulf of Maine sea surface temperature. After each activity, students annotated the visualization, discussed their claims, and recorded short reflections. Transcripts were coded for science-related talk, and annotations and gestures were also analyzed. Findings indicate that …

Exploring Undergraduate Understanding And Learning Of Catholic Social Teaching In Catholic Higher Education, Kenny Van Tilburg

Dissertations

Since the Second Vatican Council in the mid-1960s, Catholic higher education (CHE) has wrestled with its Catholic identity in a changing landscape and changing world (Gallin, 1996, 2000; Gleason, 1995; Morey & Piderit, 2006). A big component of this identity-recognition process is the continued evolution and inclusion of Catholic social teaching (CST) in the educational approach of CHE. Despite its importance, much evidence has suggested CST is underwhelmingly present in the education of contemporary CHE (Beyer, 2021; Galligan-Stierle, 2014; Hudson et al., 2018; Nickerson & Dammer, 2018; Reed-Bouley, 2016; Sullivan & Pagnucco, 2014; United States Conference of Catholic Bishops [USCCB], …

Pushing The Boundaries Of Large Language Models: Innovations And Limitations In Nlp, Finance, And Mathematics, A M Muntasir Rahman

Dissertations

Large Language Models (LLMs) have emerged as transformative tools across a spectrum of domains, yet their practical deployment reveals a blend of remarkable potential and notable limitations. This research explores innovative methodologies to extend the capabilities of LLMs while addressing critical challenges in their evaluation and application. By leveraging rule-based approaches, the in-context learning capabilities of LLMs, and human-in-the-loop validation across three focused studies, this research introduces robust strategies for dataset synthesis, model enhancement, and model assessment in three distinct domains: natural language processing, financial sentiment analysis, and mathematical reasoning

The first study proposes an efficient data augmentation framework, EASE, …

Game-Based Learning With Augmented Reality, Kantida Nanon

Dissertations

Augmented Reality (AR) technology provides an effective and controllable learning environment, especially for complicated, potentially dangerous, or critical content. Effective implementation of interaction and platforms for educational tools can maximize learner engagement and optimize the learning experience. This dissertation explores the potential of AR technology to enhance learning experiences across multiple platforms and subject areas, particularly within chemistry and mathematics. The dissertation is grounded in the field of Human-Computer Interaction (HCI) and explores the potential of AR to increase learner engagement, improve learning outcomes, and transform traditional pedagogical practices.

The dissertation is divided into two parts. The first part examines …

First-Principles Study Of Ferroelectric Properties And Co2 Reduction Reaction Capabilities In Two-Dimensional Monolayers And Heterostructures, Mo Li

Dissertations

Two-dimensional (2D) materials hold significant potential for CO₂ reduction reactions (CO₂RR) due to their high surface-to-volume ratio. However, achieving high selectivity for desired products and overcoming limitations posed by scaling relationships remain challenging. Recent studies suggest that ferroelectric (FE) materials with switchable out-of-plane polarization (OOP) can effectively tune the adsorption behavior, thermodynamics, and kinetics of CO₂RR, offering promising solutions to these challenges. Using density functional theory (DFT) and the Berry phase approach, this work expands the family of 2D ferroelectrics by theoretically identifying Y₂CO₂, Y₂CS₂, and Sc …

Determination Of Electrochemical Parameters For Predicting Reaction Mechanism And Algorithmic Approaches To Pain Assessment, Huize Xue

Dissertations

This dissertation introduces novel advancements in electrochemical kinetics and pain assessment, structured into two main parts. The first part focuses on the comprehensive analysis of the kinetic and mechanistic aspects of electrochemical reactions, utilizing a combination of experimental techniques and simulation methods. A new software tool, Envismetrics, was developed using Python to facilitate the analysis of complex electrochemical data, including cyclic voltammetry (CV), chronoamperometry (CA), and hydrodynamic voltammetry (HDV). The software was rigorously tested and validated with well-characterized redox systems such as the ferricyanide/ferrocyanide couple, dimethylamine borane (DMAB), and Per- and Polyfluoroalkyl Substances (PFAS). It was successfully used to determine …

Gas-Generating Reactive Materials: Design, Evaluation And Effect Of Morphology On Their Ignition And Combustion, Purvam Mehulkumar Gandhi

Dissertations

This work investigates optimizing gas-generating reactive materials, focusing on particle morphology's effect on ignition and combustion behavior. Metal-based gas-generating energetic materials (EMs) are promising alternatives to replace traditional CHNO compounds. Design of advanced metal-based EMs requires consistent ways of evaluating how their characteristics affect their ignition and combustion. Many relevant evaluation approaches exist; however, the results may be difficult to compare directly across different studies. Commonly, experimentalists ignite metal-based EMs in enclosed chambers and report pressures, P. However, direct comparison of these pressures is hindered by variations in the chamber volume, V, and the EM mass, m. To standardize the …

Ensemble Learning Models For Large-Scale Time Series Forecasting In Supply Chain, Minjuan Zhang

Dissertations

Machine learning and AI techniques are transforming supply chain forecasting, driven by the expanding availability of data assets. These advanced methods offer powerful opportunities to optimize management processes, reduce operational costs, and enhance strategic decision-making, which is crucial for enterprise success. However, conventional statistical approaches, such as Autoregressive Integrated Moving Average Models (ARIMA), dynamic regression, and Unobserved Component Models (UCMs)—which have long dominated time series forecasting—often fall short in accuracy and scalability. These traditional models face limitations in batch processing, handling large-scale data, addressing uncertainty-induced disruptions, and synchronizing demand-supply scenarios.

To address these challenges, a novel class of AI-powered ensemble …

Knowledge Diffusion In Networks Of Artificial Learners, Ehsan Beikihassan

Dissertations

The dissertation draws inspiration from the topic of peer learning in the social sciences and the study of information dissemination and knowledge diffusion in network science. In particular, it introduces and studies a setting involving a population or network of artificial learners, with the objective of optimizing aggregate performance measures under constraints on training resources. In this context, natural knowledge diffusion processes in networks of interacting artificial learners are studied. The term "natural" refers to processes that emulate human peer learning, where the internal state and learning processes of students remain largely opaque, and the main degree of freedom lies …

Interactive Visualization Workflows For Mitigating Analytical Uncertainty, Kaustav Bhattacharjee

Dissertations

This dissertation takes a process-centric and stakeholder-first perspective for handling analytical uncertainty: the form of uncertainty that confronts data analysts' insight-generation processes in high-consequence decision-making scenarios. The cost of an incorrect decision when data is used for movie recommendations as opposed to when personal data is used to drive insights or when data-driven modeling is used to drive real-time decisions for maintaining the health of a grid are vastly different in terms of consequences. This dissertation looks at analytical uncertainty in two real-world scenarios: i) how sensitive information leakage can be prevented during the open data release process with data …

Decomposition Of Diisopropyl Methylphosphonate (Dimp) Exposed To Elevated Temperatures And Combustion Products Of Reactive Materials, Elif Irem Senyurt

Dissertations

The safe and efficient destruction of chemical weapon agents (CWAs) stockpiles remains a critical global challenge. Understanding the thermophysical properties, decomposition mechanisms, and interactions of CWAs with their environment is crucial for developing effective strategies to mitigate their threats. Diisopropyl methylphosphonate (DIMP) and Dimethyl methylphosphonate are commonly used nerve agent surrogates. This dissertation focuses on DIMP and DMMP, investigates their properties and behavior under conditions relevant to prompt defeat scenarios.

The thermophysical properties of DIMP and DMMP were experimentally characterized, including vapor-liquid surface tension (3-60 °C) and viscosities of neat and aqueous solutions. Results revealed significant non-ideal behavior in aqueous …

Visual Analytic Techniques For Interpretable Algorithmic Ranking Systems, Jun Yuan

Dissertations

Rankings have a profound impact on the increasingly data-driven society. From leisurely activities like the movies to watch, the restaurants to patronize; to highly consequential decisions, like making educational and occupational choices or getting hired by companies— these are all driven by sophisticated yet mostly opaque algorithmic rankers. A small change in how these rankers order the data items can have profound consequences, like deterioration of the prestige of a university or a job applicant missing out on being on the list of the top candidates for an organization. These scenarios necessitate data-driven and human-centered innovation to make rankers accessible, …

Beyond Average Effects In Education Research Syntheses: Explaining Heterogeneity Of Concept Mapping Research In Science Education Through Meta-Regression Modeling, Aaron Wenger

Dissertations

Contemporary education research seeks causal inferences in order to guide policy and practice. Often well-controlled quasi-experimental and experimental designs are used as they are very useful for supporting and contextualizing causal inferences. Nevertheless, individual studies, even high-quality, resource-intensive randomized controlled trials, are not able to establish generalized claims. Because primary studies vary over dozens of variables (e.g., grade, subject, duration) simply conducting additional primary studies cannot change this. Furthermore, the informal assessments of primary studies common in literature reviews are unable to resolve certain challenges (e.g., publication bias) that are described in the emerging field of meta-research. These challenges require …

Evaluating The Impact Of Post Discharge Callback On Patients With Copd Exacerbation, Stephanie L. Staten

Dissertations

The purpose of this project was to evaluate the impact of a post-discharge callback within 72 hours of discharge on medication adherence, attendance to post discharge follow up clinic visit, and 30-day readmissions in COPD patients. A secondary purpose was to explore reasons why patients who are discharged with a diagnosis of COPD exacerbation, did or did not adhere to their medications and keep their post-discharge follow up clinic visit during the 30-days following hospital discharge.

Nurse Delegation Decision Making: Impact On Nurse Job Satisfaction, Lynn Carol Parsons

Dissertations

The purpose of this experimental study was to ascertain if a structured educational intervention (versus a mimic intervention) was followed by a statistically significant increase in nurse delegation decision making knowledge and nurse job satisfaction.

Impact Of Disciplinary Literacy Pedagogy On Student Historical Content Learning: A Mixed Methods Research Study, Jeffrey Mayr

Dissertations

This study sought to assess if a disciplinary literacy (DL) teaching intervention could increase student historical content learning. The purpose of this study was to help make recommendations for usage of DL teaching strategies in the future. DL is a new and promising teaching strategy that has a multitude of research-backed benefits. However, DL adoption has been hampered by a lack of clarity on if DL can improve student content learning and test scores. This study used mixed methods methodology. Quantitative assessment was utilized for a quasi-experimental pre- and post-test design to assess the impact of a two-week DL teaching …

Examining The Relationship Between Textbook Formats, Students’ Self-Efficacy And Academic Performance In Higher Education, Anthony Eya

Dissertations

Ideally, educators would have sufficient data to understand how textbook formats (Ebook and Pbook) can transform negative student behaviors resulting from low self-efficacy to improve their academic performance (Alegre, 2014; Masa’deh et al., 2022). The problem driving this study is the lack of empirical data on the relationship between textbook format, student self-efficacy, academic performance, and behavioral factors that undermine student success in a self-regulated learning environment (Masa’deh et al., 2022). Also, there is a need for data that could inform strategies for solutions to poor student self-efficacy regarding textbook type and low academic performance (Alegre, 2014). This study used …

Academic Nurse Leaders’ Application Of Bolman And Deal’S Leadership Orientation Framework, Jasmine Bratton

Dissertations

While Academic Nurse Leaders (ANLs) are vital to the functioning and quality of nursing programs in academic settings, many enter their roles with limited or no prior academic leadership and management experience. The inadequate preparation and development of ANLs remains a critical concern. For this reason, ANLs positions can be challenging and hard to fill. Although ANLs can hold various titles and positions across different academic institutions, this study specifically focuses on Deans, Directors, and Department Chairs working in the New York State area. Bolman and Deal’s (2021) four-frame model of leadership offers a framework that can be used to …

Investigation Of Polybenzoxazine Vitrimers Based On Dynamic Transesterification Exchange, Jaylen Davis

Dissertations

With the ever-increasing issue of plastic waste production, a greener approach to synthetic processes and increased sustainability in plastic materials is still a high demand. Thermosets, which find uses in applications such as coatings, adhesives, and aerospace composites account for 15% of global plastics production, are particularly problematic in this context, as covalent crosslinks within the material serve both as a source of high-performance stability during use and as a barrier to conventional recycling after use. Therefore, our efforts focus on the incorporation of dynamic transesterification exchange chemistry into polybenzoxazine thermosets, which allows these materials to undergo reprocessing. This investigation …

Synthesis, Characterization And Testing Of Graphene-Based Materials For Proton-Exchange Membrane Fuel Cell Catalysts, Hassan Shirzadi Jahromi

Dissertations

The requirement for low cost and efficient catalysts for fuel cells motivated the proposed research on Nitrogen-doped reduced graphene oxide (N-rGO) integrated with transition metal zeolitic imidazolate frameworks (ZIFs). Synthesis, characterization and performance evaluation of the newly synthesized nitrogen-doped graphene oxide-based catalysts for Proton Exchange Membrane Fuel Cells (PEMFCs) constitutes the main objective of this thesis.

The synthesis of N-rGO combined with cobalt, nickel, or iron ZIFs was carried out using wet chemical methods followed by one step pyrolysis at 900°C, resulting in catalysts with highly porous structures and uniform metal nanoparticle distribution. These were characterized for structure, microstructure, composition …