Digital Commons Network^™

A Multi-Layered, Discourse-Oriented Exploration Of Learning Assistant-Student Interaction In Calculus I, Rebecca Butler

Doctoral Dissertations

Learning Assistants (LAs) are undergraduate near-peer tutors who aid in the instruction of collegiate courses in which they have previously been successful as students. It has been consistently shown that students in LA-supported STEM courses have more positive course outcomes than their peers without LA support. The benefits include improved retention, better scores on content assessments requiring higher-order reasoning, and a greater sense of belonging in STEM. Little is known about why students in LA-supported courses evidence this range of positive course outcomes, but it is conjectured that LAs facilitate these outcomes through their frequent and engaging interactions with students. …

Personal Device Use In Mathematics: An Investigation Into Access, Utilization, And Outcomes, Catherine Dennis

Doctoral Dissertations

Personal devices, such as laptops, tablets, and smartphones, have become increasingly ubiquitous in undergraduate mathematics classrooms around the world. Moreover, the increased use of technology in educational contexts has provoked questions about equity in terms of student access, utilization, and the potential impact on outcomes (Hennessy & Dunham, 2008). This dissertation adds to the body of literature that addresses the overlap of personal device use and equity in undergraduate mathematics through three different methodological approaches: systematic review, quantitative inquiry, and qualitative exploration. The systematic review synthesizes 355 studies on personal device access, utilization, and outcomes in undergraduate mathematics. One key …

A Daughter’S Inheritance: The Construction Of Motherhood Through Death, Michaela George

Doctoral Dissertations

Mother-daughter relationships have been of feminist interest for decades as this relationship shifts narrative focus to underrepresented characters. In literature their relationship illustrates and complicates what it means to be ‘woman’ and provides access to educational theories, political understanding, and familial ideologies. Further, examining how these relationships shift and alter through eras of narratives offers tangible patterns for study. My dissertation examines the mother-daughter relationships in late eighteenth-century, early nineteenth-century prose by investigating how social constructions of gender are complicated, critiqued, shaped, and altered as they are passed from parent to child in deathbed scenes. I engage with medical humanities …

Charting Reciprocity: The Mapping Of Knowledge Production In Collaborative Community Networks, Nicole Cunningham-Frisbey

Doctoral Dissertations

Abstract

This dissertation reconceptualizes community-based literacy and writing practices as dynamic processes of reciprocal textual production grounded in feminist and Indigenous methodologies. It challenges traditional hierarchical structures by foregrounding community-generated epistemologies, emphasizing relational accountability, iterative reflexivity, and sustained ethical engagement. Using qualitative methods—including practitioner-created knowledge and social network maps and an analytical mapping method—the study explores how community practitioners strategically leverage their cultural identities and epistemological frameworks within collaborative writing and advocacy.Empirical case studies illustrate reciprocal knowledge production in action, showcasing intentional approaches such as oral storytelling, collaborative writing, and policy advocacy. Findings demonstrate how textual artifacts from reciprocal frameworks …

Assessing The Roles Of Corticosterone And Familiarity In Prosocial Helping Tasks, Taylor Anne Kimball-Sabatella

Doctoral Dissertations

Studies have suggested that rats may be motivated by empathy, a characteristic that has been historically viewed as uniquely human, when engaging in helping other individuals escape stressful situations. Some researchers refute this idea, suggesting rats may be motivated by social interaction or other factors. To better understand what is driving helping behavior, it is critical to investigate the effectiveness of the stressors used in previous studies, how stress levels change over time, and how the stress of the recipient is related to the actions of the helper. If restraint is causing sufficient stress to the trapped individual and a …

Wigner's Theorem And Spectrum Shrinking Maps, Meaghan Allen

Doctoral Dissertations

Wigner's Theorem, an influential result in quantum mechanics established by Eugene Wigner in 1931, states that every symmetry transformation on a ray space is induced by either a unitary or anti-unitary transformation. In this work, we generalize Wigner's Theorem in two directions: first, to maps between different Hilbert spaces, and second, to maps between factors of type II. In both cases, we focus on weakening the assumptions on the map, specifically by utilizing spectrum shrinking conditions. For the first generalization, let $\mathcal{H}_1$ and $\mathcal{H}_2$ be Hilbert spaces, and let $k$ be a positive integer such that $2\leq k < \frac{1}{2} \dim(\mathcal{H}_1)$. We show that if an injective map $\psi: \mathcal{P}_k(\mathcal{H}_1) \to \mathcal{P}_k(\mathcal{H}_2)$ satisfies two spectrum shrinking conditions, then it is induced by a linear or conjugate-linear isometry. For the second generalization, let $\mathcal{M}$ be a type II$_1$ or type II$_\infty$ factor, let $\tau_\mathcal{M}$ be a faithful normal semi-finite tracial weight of $\mathcal M$, and let $0

Consumptive And Energetic Responses Of Fishes Under Pressure Of Climate Change, Nathan Thomas Hermann

Doctoral Dissertations

Marine organisms are confronted with warming waters due to climate change requiring species to exhibit responses to persist. For many fish, these responses have included range shifts to cooler waters, but are species-specific which may create further disruption through trophic mismatches. To identify potential mismatches and estimate their implications for the quality of consumption within major predators, analyses of predator stomach contents were integrated with reviews of organismal energetics and physiological parameter values. The energy density of prey that is consumed dictates the consequences of consumption, so having data expands general understanding of diet. To that end, published records (n …

Double Segregated Districts And The Persistence Of The Education Debt: A Study In Three Research Essays – Desegregation, The Education Debt, And Brown To Brownsville: A Case Study., Shantel Palacio

Doctoral Dissertations

This dissertation investigates the persistence of double segregation—the racial and socioeconomic isolation of students—in New York City public schools. Using a three-article, mixed-methods design grounded in Gloria Ladson-Billings’ education debt framework, it explores how legal precedent, school-level demographics, and community perspectives interact to sustain unequal educational opportunity.The first article provides a legal-historical analysis tracing desegregation efforts from Plessy v. Ferguson (1896) to IntegrateNYC v. State of New York (2024). Using the IRAC method, it examines how federal courts shifted from enforcing desegregation to limiting race-conscious remedies, leading advocates to pursue equity through state-based legal strategies. The article highlights the increasing …

Dynamic Defense Strategies For Field Programmable Gate Array (Fpga) Security, Sandeep Sunkavilli

Doctoral Dissertations

Field Programmable Gate Arrays (FPGA) have gained popularity and usage in recent years, and they have been widely used in mission-critical applications. Due to its popularity, the security of FPGA has become a big concern. Most existing research on FPGA security focuses on hardware Trojans, side-channel attacks, and reverse engineering. The existing FPGA countermeasures against the attacks above are typically limited to the FPGA systems implemented in the old FPGA utilization model. An increase in cloud-based FPGA providers, third-party accelerator suppliers, and open-source FPGAdesign tools has changed the FPGA utilization model, which requires new security measures for modern FPGAs. This …

Investigation Of Elastin-Like Polymer Surfaces By Electrochemical Impedance Spectroscopy In Redox Mediated And Non-Redox Mediated Electrolytes, Stanley Grant Feeney

Doctoral Dissertations

As the biomedical engineering industry grows, so does the need for on-line, continuous monitoring of specific biomolecules in industrial bioreactors. Elastin-like polymers, a thermoresponsive, protein-based macromolecule that mimics the behavior of the naturally occurring elastin protein, may hold the answer in the form of their stimuli-responsive conformation change. Surface-bound ELPs still require characterization, especially under conditions relevant to on-line sensing in bioreactors. The protocol for fabricating ELP-modified electrodes needs to be fine-tuned for reproducibility, with careful consideration for physisorption. Additionally, bioreactors require carefully controlled environments, without the presence of exogenous reagents. Therefore, the stimuli-responsive behavior of ELPs will need to …

Age Distribution Of Minors Portrayed In Image-Based Sexual Abuse And Child Sexual Abuse Material, Samantha Jean Sutton

Doctoral Dissertations

Child sexual abuse material (CSAM) poses a significant threat, especially in the current technological age. A better understanding of victim characteristics is needed to direct investigation and prevention efforts properly. However, determining the age distribution of children in CSAM has been difficult due to numerous factors, including differing laws governing CSAM, the priority placed on investigating younger victims, and the difficulty of determining from images alone the age of young people. This meta-analysis sought to understand the proportion of image abuse victims who are under the age of 13 compared to those who are 13 years or older and whether …

Probing Neutron Star Interiors: Insights Into Asymmetric Dark Matter, Dark Energy, And The Cold Dense Matter Equation Of State, Nathan Rutherford

Doctoral Dissertations

The combination of derived neutron star mass-radius measurements from NASA's Neutron Star Interior Composition ExploreR (NICER) mission, constraints from chiral effective field theory (chiEFT), and mass-tidal deformability constraints from gravitational waves has led to significant improvements in the understanding of the cold dense matter equation of state (EoS) of neutron stars. Interestingly, asymmetric dark matter (ADM) and dark energy may also be present within neutron star interiors, potentially impacting their global properties. Taking these effects into account, neutron star measurements can not only offer new insights into the dense matter EoS, but also serve as a hunting ground for dark …

Design And Synthesis Of Single Atom Catalysts For Solar Fuel Generation, Allison Harper St. John

Doctoral Dissertations

Solar fuel generation from photocatalytic carbon dioxide (CO2) reduction is a growing area of interest to mitigate global energy and climate crises. Graphitic carbon nitride (C3N4) is a light-absorbing semiconductor with a promising outlook for solar fuels, gaining popularity in recent years due to its low cost and appropriate band positions for many environmentally relevant reactions. The addition of atomically dispersed single atom catalysts (SACs) to semiconducting materials is a viable strategy for creating active sites to improve photocatalytic performance of the semiconductors studied. Designing C3N4 materials as a support for SACs with well-defined binding motifs and sufficiently high concentrations …

The Role Of The Gut Microbiota In Opioid Use Disorder, Izabella Jannae Sall

Doctoral Dissertations

Opioids are highly effective analgesics for acute and chronic pain management but carry dangerous side effects that limit their utility and increase the risk of opioid use disorder (OUD). Yet not all individuals prescribed opioids develop an OUD, presenting a conundrum: why are so some individuals develop an OUD and others do not? While genetics, social environment, and behavior contribute to risk, they fail to explain why some individuals transition from prescribed use to an OUD. My doctoral research investigates an increasingly likely culprit that is also a promising therapeutic target: the gut microbiota. The gut microbiota is essential for …

Responding To Range Expansion: Assessing Insect Communities, Tree Decline Symptoms, And Tree Mortality Risk As The Southern Pine Beetle Moves North, Caroline Rachel Kanaskie

Doctoral Dissertations

Climate change is shifting species distributions. In New England, warmer winters allow southern species to survive further north. The northward range expansion of the tree-killing southern pine beetle is the focus of this dissertation. Outbreaks of this beetle cause both ecological and economic damage, which threaten the globally rare pine barrens ecosystem. I used an interdisciplinary approach to study this insect: 1) I synthesized literature on the beetle’s natural enemies; 2) I used a suite of chemical attractants to investigate the insect community attracted to the beetle’s pheromones and assessed the diversity and abundance of its potential predators; 3) I …

Molecular Simulation Studies Of Peptide Transport Across The Mitochondrial Membrane, Son Nguyen

Doctoral Dissertations

Molecular transport across membranes is an important biophysical process. Designing molecules capable of crossing cell membranes and targeting specific organelle is becoming necessary in treating many diseases and disorders. In recent decades, cell-penetrating peptides have been studied and utilized to deliver a variety of cargoes. My dissertation work focuses on studying the molecular details of the peptide translocation process across a cell membrane. Specifically, I investigated the dynamics of mitochondrial-targeting peptides and their mechanisms of translocation across the mitomembrane. I conducted molecular dynamics (MD) simulations of model mitochondrial-targeting peptides with distinct physical and chemical properties such as sequence lengths, functional …

Investigating The Role Of Soundscape Properties And Genetic Material As Sentinel Indicators Of The Acoustic Environment In Gulf Of Maine Coastal Marine Ecosystems, Grant Alexander Milne

Doctoral Dissertations

ABSTRACT By identifying soundscape properties and taxa detected with metabarcoding that accurately predict substrate composition, assumptions about propagative properties of the environment can be rapidly formed without the use of active acoustic sensing or invasive environmental sampling techniques. “Sentinel indicators,” are variables, processes, or components within ecosystems that can be measured or quantified and have sensitivity to environmental pressures. Passive acoustic monitoring (PAM) and metabarcoding of seawater samples (MSS) are two minimally invasive potential methods of identifying sentinel indicators of soundscape and propagation properties of marine habitats by detecting the presence of marine taxa and extracting information from soundscapes. To …

Navigating Insulin Access For Pediatric Type 1 Diabetes: Caregivers' Experiences And Challenges, Ella Anderson

Doctoral Dissertations

Between 2012 and 2018, the annual 14% increase in insulin prices made Type 1 Diabetes (T1D) the most expensive chronic health condition, significantly raising out-of-pocket costs for uninsured or underinsured individuals in the United States (Hayes & Farmer, 2020; Willner et al., 2020). This study utilized a qualitative content analysis methodology to explore the challenges and experiences of parents with children diagnosed with T1D with accessing insulin for their child. Five participants from various areas of the United States responded to open-ended questions both in person and via Zoom. The analysis revealed three main themes: pragmatics of managing diabetic care, …

Multiscale Materials Characterization And In-Situ Process Monitoring In Additive Manufacturing Via Non-Contact Optical Thermometry Techniques, Rifat-E-Nur Hossain

Doctoral Dissertations

While additive manufacturing (AM) is experiencing rapid growth, its development is uneven across different branches. Some areas are still emerging, while even the more established branches are still facing ongoing challenges that require further development. Regardless of their development stage, both emerging and mature AM require process monitoring and part characterization. Process monitoring helps to achieve more control over the process and build a self-adaptive system, while characterization of printed parts speeds up process optimization and ensures required quality. Together, process monitoring and build characterization will transform AM into a more dependable and commercially viable technique. Build surface temperature is …

If You Were A Sesame Street Character, Which One Would You Be? Natural Language Processing And Personality With Big Bird And Friends, Joseph Uran Meyer

Doctoral Dissertations

This paper examined and compared several natural language processing and machine learning techniques in predicting self-reported Big Five personality traits from text responses. The models were validated on the open-source 2019 SIOP Machine Learning Competition dataset (N = 1,689). The techniques evaluated included bag-of-words, Empath dictionary, LSTM networks, fine-tuning Transformer models, and stacked generalization. Results indicated that the present study’s models had lower error in four of the five constructs analyzed. Limitations of the study include use of an MTurk sample and small sample size. Future research should explore similar techniques on larger applicant samples. Practical implications and contributions to …

Solid-State Crystallization Of Zeolites And Their Use In Plastic Upcycling Applications, Yixin Liao

Doctoral Dissertations

Plastics have been an irreplaceable component of modern technology as well as everyday life. They have brought much convenience to us with their characteristics of great malleability, durability, and stability. The versatile and low-cost nature of plastics also enables their wide engagement in many modern industries including automobile, medical, communication as well as aerospace. Polyethylene (“PE”), made from polymerization of ethylene, is one of the most widely used plastics in the world. Being cheap, flexible, and long-lasting, they are extensively used in the packaging industry, especially for plastic bags and other sorts of containers. However, the durability of plastics, on …

Smoothed Particle Hydrodynamics For Free-Surface Flows And Time Series Forecasting Approach For Computational Fluid Dynamics, Huali Ye

Doctoral Dissertations

With the increase in computing power, numerical simulation has become an essential approach to solving problems in engineering and science. Numerical simulations provide a platform for theoretical validation and facilitate novel discovery. Even though extensive mesh-based numerical methods are utilized, significant limitations exist, particularly in Computational Fluid Dynamics (CFD). Because of the grid distortion, issues related to large deformations, moving interfaces, and free surfaces may lead to considerable computational errors, constraining their efficacy in numerous applications. As a mesh-free method, Smoothed Particle Hydrodynamics (SPH) was introduced in 1977 and has been widely applied in many fields such as astrophysics and …

The Moderating Effect Of Empathy On The Relationship Between Psychological Reactance And Intimate Partner Violence Perpetration, Victoria Anne Rukus

Doctoral Dissertations

Intimate Partner Violence (IPV) is a phenomenon found across cultures, genders, and sexualities. Those who are victimized are more likely to experience negative health and psychological outcomes than those who have not and are also at an increased risk for becoming perpetrators themselves. This has resulted in a significant need to identify the risk factors associated with perpetrators, so cycles of violence can be broken and violence can be prevented. Previous research has utilized a predominately feminist perspective to understand IPV perpetration risk factors and has focused predominately on exclusively male samples. Additional research is needed to develop a broader …

Real-Time Prediction Of Dynamical Systems Using A Hybrid Analog Computer: Network Traffic Modeling, Majd Zuhair Tahat

Doctoral Dissertations

As the number of online users grows exponentially, the number and severity of cyber threats escalate, urgently requiring advancements in real-time network modeling and response. Swiftly predicting and analyzing network traffic is crucial for effective network monitoring and control, preventing cyber breaches, and maintaining healthy network functionality. This research presents a novel approach to real-time modeling based on analyzing evolving properties and patterns in a dynamical network system using a hybrid analog-digital computer. An analog computer was utilized as a co-processor to compute differential equations that model the Transmission Control Protocol (TCP) window size. A comparative analysis was conducted between …

A Human-In-The-Loop Framework For Scalable And Interpretable Event Triaging In Large-Scale Systems, Ibrahim Khaled Al-Agha

Doctoral Dissertations

This dissertation presents a comprehensive and scalable framework for real-time fault detection and event triage in industrial systems, addressing critical challenges such as class imbalance, ambiguous feature boundaries, and the prioritization of complex, high-dimensional event data. The proposed framework integrates advanced methodologies, including micro-batch processing, retrospective divergence-based event detection (DB-RED), association rule mining (ARM), clustering, and Dempster-Shafer Theory (DST) for conflict resolution. Together, these components enable the systematic stratification of events into actionable priority levels, ensuring robust and interpretable decision-making in real-time environments. DB-RED forms the cornerstone of the framework, leveraging KL-divergence and PE-divergence metrics to detect subtle and transient …

Creating A Framework To Develop Project-Based Platforms To Support Engineering And Technology Education, Casey Daniel Kidd

Doctoral Dissertations

Engineering education has evolved over the last few decades to increasingly include project-based learning (PBL) throughout the curriculum to give students more hands-on experience. However, there can be a hesitancy from faculty and instructors to move from traditional lectures to PBL-based curricula. Research has been conducted to identify barriers to research-based instructional strategies (RBIS), which include PBL. However, this research does not go into depth about the specific barriers for these individual RBIS. Furthermore, it has been found that the adoption of a new practice within a community has more success through a propagation paradigm, where the change agents are …

Photoionization Of Spin-Polarized Rydberg Atoms Out Of A Continuous Wave Optical Dipole Trap, Kevin Lee Romans

Doctoral Dissertations

"Recent research has demonstrated the need for a fully differential experiment on the photoionization of ⁶Li Rydberg atoms in a continuous wave (cw) laser field, as this would provide a new path forward for studying never before accessible atom-light interactions. Rydberg atoms are back in the focus of intense research due to their peculiar properties, which make them interesting candidates for quantum optics and information applications. In this work, we study the ionization of such Rydberg atoms, due to their interaction with a trapping laser field, by utilizing a reaction microscope (ReMi) capable of measuring photoelectron momentum distributions with …

Parallel Algorithms For Large Scale Dynamic Graph Analysis, Arindam Khanda

Doctoral Dissertations

A complex system of interacting entities in contemporary scenarios, be it biological, technological, or social, can be represented using graphs. Dynamic graphs, unlike their static counterparts, are ones in which the underlying topology changes over time. These networks act as a model for numerous systems, from transportation to social interactions, capturing the ever-evolving nature of real-world phenomena. However, the inherent temporality of these networks presents a unique set of challenges and the traditional static graph algorithms often fall short in efficiency and applicability. In our research, we delve into the complexities presented by large dynamic networks and suggest various methodologies …

Development Of Dual-Scan Nuclear Magnetic Resonance (Nmr) Pulse Programs For Spin-Lattice Relaxation Measurements, Zachary Mayes

Doctoral Dissertations

This research develops and refines the Split Inversion Pulse and Recovery (SIP R) methodology for spin-lattice relaxation (T₁) measurements in NMR spectroscopy. SIP R introduces a two-scan difference technique using a split inversion pulse sequence, where the 180° pulse is split into two 90° pulses phase-shifted with respect to each other. This approach simplifies data fitting, requiring only two parameters to extract T₁ values, compared to the traditional inversion-recovery method, which needs three. The SIP-R-DS and SIP-R-S adaptations extend this framework by incorporating selective NMR resonance excitations, enhancing its applicability to cross-polarization experiments and enabling unobstructed NOE measurements. These adaptations …

“The Culture - I Wish It Were Less Intense And More Joyful And Full Of Life”: A Youth Participatory Action Study On Teen Mental Health And Wellness, Marna Wolak

Doctoral Dissertations

Studies indicate that a grave mental health crisis is disproportionately impacting female-identified youth. While school districts have made attempts to address this problem, those most impacted - young people - have frequently found their voices overlooked by adults seeking solutions. Therefore, this Youth Participatory Action Research (YPAR) study, grounded in humanizing and liberatory pedagogy, examines how high school-aged students in an urban school district understand and define their experiences with mental health challenges and suggest strategies and interventions for improved wellness. Two sets of research questions guide this study: 1) Primary questions: What are youth perspectives about how their mental …