Digital Commons Network^™

Charge Transport Modeling Of Multifunctional Molecular Transistors, Romena Akter

Graduate Studies Theses and Dissertations 2026

Distinguishing between the current–voltage characteristic curves associated with different transport mechanisms in a molecular electronic device and an artifact arising from device-level disorder is a central challenge in the study of molecular electronics. Characterizing these mechanisms and connecting them qualitatively to molecular-level orbital alignment, electrode coupling, voltage division, energetic disorder, and reorganization energy requires not only experimental data but also a rigorous theoretical framework for extracting physically meaningful parameters from measured transfer characteristics. This dissertation addresses this challenge in Chapters 2, 3, and 4 by developing and applying four complementary transport models —Simmons tunneling, single-level Landauer, Marcus hopping, and McConnell …

From Motherhood To Sisterhood: Women Strike For Peace And The Transmission Of Feminist Consciousness, Olivia R. Aldrich

Graduate Studies Theses and Dissertations 2026

Women Strike for Peace (WSP) has traditionally been understood as a maternalist peace movement that emerged in response to atmospheric nuclear testing during the early Cold War era. This thesis argues that WSP’s history reveals a more nuanced relationship between motherhood, feminism, and political activism than existing scholarship has suggested. Rather than operating in distinct stages, maternalism and feminism operated simultaneously, working alongside one another throughout the organization’s history. Furthermore, this thesis builds upon Ednie Kaeh Garrison’s concept of feminist “radio waves,” arguing that WSP functioned as a transmitter of feminist consciousness, where ideas, organizational practices, and different political identities …

Robust Deep Learning One-Class Classification, Shahd Alnofaie

Graduate Studies Theses and Dissertations 2026

One-Class Classification (OCC) focuses on learning the characteristics of normal data and identifying observations that deviate from this learned pattern as anomalies. It is commonly used in applications such as medical diagnosis, cybersecurity, industrial monitoring, and fraud detection, where abnormal examples are often rare or unavailable during training. Classical approaches such as SVDD and LS-SVDD describe normal data using a hypersphere. While effective in some settings, these methods rely on shallow representations and can be sensitive to noise and contaminated observations. To address these limitations, this dissertation introduces a Deep LS-SVDD framework that combines hypersphere-based data description with deep neural …

Effects Of Back-Pressure On Pseudo-Shock Systems, Emil C. Alunno

Graduate Studies Theses and Dissertations 2026

The isolator of a scramjet engine houses a pseudo-shock, a compressive flow structure that raises the static pressure and decelerates the incoming supersonic flow for efficient combustion while shielding the inlet from the elevated pressure downstream. Under sufficient back pressure the leading shock bifurcates and forms a shock train followed by a shockless mixing region, and the resulting system oscillates even under nominally steady conditions; this unsteadiness distorts the flow, can drive the pseudo-shock out of the isolator and unstart the inlet. This thesis experimentally examines how a pseudo-shock in a constant-area isolator at a measured entrance Mach number of …

Making Unsafe Sequences Unexecutable: Formal Protocol Enforcement For Cyber-Physical Systems, Arthur Amorim

Graduate Studies Theses and Dissertations 2026

Cyber-physical systems execute physical actions in response to software commands, making their communication protocols a primary attack surface. A stealthy attack is a sequence of individually valid messages that violates a required ordering, driving the system into an unsafe state without malware or protocol violation. Existing defenses examine messages or physical state in isolation, not protocol level sequences, and cannot prevent them. Preventing them requires enforcement that makes unsafe sequences unexecutable at the communication boundary.

Formal methods offer a principled path to enforcement, but no tool spans specification to safe deployed hardware. Model checking automates proofs but has no certified …

Soil Texture And Organic Matter Influence Hydraulic Performance Of Stormwater Infiltration Systems Across Antecedent Moisture Conditions, Laura E. Andrade Barron

Graduate Studies Theses and Dissertations 2026

Stormwater infiltration systems are widely used to improve urban stormwater management by promoting drainage and groundwater recharge while treating nonpoint source pollution such as nutrients in surface runoff. Nutrient removal and hydrologic performance of these systems are closely coupled and both are dependent on characteristics of underlying soils. In this study, laboratory flow-through experiments were conducted using 30 intact cores taken from six soil types with different textures (0.99-16.63% clay content) and organic matter contents (OMC 0.44-93.3%). Measured cumulative fluxes from laboratory experiments were used to calibrate numerical models simulating flow through porous media (HYDRUS-1D). Calibrated models were used to …

Numerical Investigation Of Reacting Flow In Pmma-Fueled Solid Fuel Scramjet Combustors Under Experimental Test Conditions, Hunter Bassett

Graduate Studies Theses and Dissertations 2026

A simplified steady RANS-based numerical study of reacting flow in solid-fuel scramjet combustors is presented to evaluate the ability of commercial CFD frameworks to reproduce key features observed in experimental test sections. The work focuses on solid PMMA fuel in two supersonic combustor configurations: a cavity-assisted flameholding combustor and a variable-angle diverging combustor. The cavity combustor is analyzed as a baseline case and results are compared directly with experimental data. Three combustor geometry states corresponding to ignition, early-burning, and steady-burning conditions are investigated. Meshes are assessed through a systematic grid refinement method to establish grid independence. A novel variable-angle diverging …

Developing A System Dynamics Framework For Sustained Digital Transformation, Quintal Battle

Graduate Studies Theses and Dissertations 2026

Despite significant organizational investments, more than 70% (Ellmer et al., 2025) of digital transformation initiatives fail. The existing literature evaluates transformation mechanisms as separate factors rather than as interacting, evolving feedback systems. This dissertation addresses this gap by developing and validating a system dynamics framework for sustained digital transformation. Guided by three research questions, the study examined the mechanisms that enable or constrain transformation, identified mechanisms distinctive to digital transformation contexts, and evaluated how existing change management frameworks guide transformation efforts. The study followed a six-phase methodology that combined a systematic literature review of peer-reviewed studies, empirical cases, causal loop …

Fgf19 As A Colorectal Cancer Serum Biomarker And Fgfr4 As A Mediator Of Anti-Her2 Resistance In Breast Cancer, Jordan Beardsley

Graduate Studies Theses and Dissertations 2026

The fibroblast growth factor 19 (FGF19)-fibroblast growth factor receptor 4 (FGFR4) signaling pathway regulates hepatic metabolism, bile acid (BA) synthesis, and hepatocyte proliferation. This signaling axis also is implicated in promoting tumor progression, therapeutic resistance, and metastasis in certain cancers.

In colorectal cancer (CRC) there is a critical need for non-invasive biomarkers for disease detection and monitoring. We identified FGF19 as a candidate CRC serum marker through meta-transcriptomics and found FGF19 to be expressed and secreted by CRC cell lines. Tumor-derived FGF19 was detectable in mouse serum at levels correlating with tumor volume in a subcutaneous xenograft model. RNA sequencing …

Non-Destructive Hhxrf Archaeometry For Grouping Individuals Via Trace Element Analysis Of Dental Remains, Griffon G. Binkowski

Graduate Studies Theses and Dissertations 2026

Handheld X-ray fluorescence (HHXRF) spectrometry has been validated as an accurate, non-destructive method for analyzing archaeological osseous materials. This study utilizes HHXRF to address key bioarchaeological questions, including population differentiation, individuation, and the interpretation of bioaccumulated trace elements versus diagenetic impacts. Using dental enamel from the Maya site of Altun Ha, Belize (n=20) and several Roman-Christian sites in the Dakhleh Oasis in Egypt (n=6), the occlusal surface of molar crowns was assayed in air using a Bruker Tracer III- equipped with a 12 mil Al, 1 mil Ti, 6 mil Cu filter. Semi-quantitative trace element ratios (Sr/Ca, Fe/Ca, and Zn/Ca) …

Sensory And Emotional Impacts On Modern Consumer Experiences, Winter E. Bland

Graduate Studies Theses and Dissertations 2026

This dissertation comprises two essays examining how environmental and psychological stimuli shape consumer experience, attitudes, and cognition. The first essay investigates the joint influence of scent temperature (warm versus cool) and scent arousal (stimulating versus relaxing) on experiential attitudes and cognitive performance in digitally mediated consumption environments. Across multiple lab experiments with biometric validation, findings reveal that these two scent dimensions interact to shape downstream outcomes. Warm, low-arousal scents (e.g., vanilla) enhance consumers' experiential evaluations of digital interactions but do not improve task performance, whereas cool, high-arousal scents (e.g., peppermint) boost cognitive efficiency and accuracy but do not elevate experiential …

An Examination Of The Impact Of School Context And Socioeconomic Status On Agency And Creative Productivity In Gifted High School Students, Elizabeth Bronson

Graduate Studies Theses and Dissertations 2026

This explanatory sequential mixed methods study investigated gifted high school students’ perception of the agency afforded them within school settings, and the relationship between these perceptions and their creative productivity. A sample of 140 students was drawn from a population of 966 identified gifted high school students. These students were contacted via their parents and asked to complete the Agentic Engagement Scale (AES) questionnaire which provided gifted high school students’ perceptions of the agency afforded at school. No significant differences in perceived agency were found across demographic variables, including socioeconomic status and school type. Of the respondents, 10 students were …

A Systematic Review And Characterization Of Privacy Noncompliance In Real-World Applications, Alexander E. Charkiewicz

Graduate Studies Theses and Dissertations 2026

Software applications increasingly rely on user data to provide their functionality, but improper handling of such data can lead to serious privacy noncompliance with applicable regulations and policies. A prominent example is the Facebook–Cambridge Analytica scandal, in which a third-party application collected the personal data of approximately 87 million Facebook users without users' consent. Despite growing attention to privacy compliance, two key challenges hinder the systematic understanding and analysis of privacy noncompliance. First, unlike security vulnerabilities, which have been systematically categorized through taxonomies such as the Common Weakness Enumeration (CWE), privacy noncompliance lacks a technical taxonomy describing how it manifests …

Vaccine Hesitancy In Arabic Discourse: A Multi-Method Social Media Study, Nada Dimashkieh Chehab

Graduate Studies Theses and Dissertations 2026

Vaccine hesitancy — the state of uncertainty about vaccination — poses global public health challenges, undermining efforts to prevent infectious diseases. It is also a contextual phenomenon, shaped by social and political forces. While survey-based research on vaccine hesitancy is abundant both globally and in the Arab world, humanities-oriented approaches using discourse analysis remain limited especially in Arabic on social media: some have tracked trends on Twitter, but virtually none have done so on Facebook. This dissertation addresses these gaps through a multimethod design combining Textual and Trend Analyses and Critical Discourse Study. It examines vaccine-related trends and discourses among …

Pioglitazone Uncouples Macrophage Inflammatory Signaling From Epithelial Oxidative Stress During Map Infection Mimicking Crohn’S Disease Treatment, Sabera Akter Bushra

Graduate Studies Theses and Dissertations 2026

Crohn’s disease (CD) is a chronic inflammatory bowel disease characterized by intestinal inflammation, epithelial barrier dysfunction, and abnormal immune signaling. CD pathophysiology is increasingly linked to Mycobacterium avium subspecies paratuberculosis (MAP) infection, which increases chronic macrophage activation and the production of inflammatory mediators that lead to epithelial damage. Among these mediators, CXCL10, TNF-α, and IL-6 contribute in inflammation, while NOX-1 and SERPINE-1 indicate epithelial oxidative stress and damage. Despite the role of macrophage-epithelial interaction in CD, selective pharmaceutical regulation of this axis remains unclear. Pioglitazone, an FDA-approved PPARγ agonist used for type 2 diabetes, is an appealing repurposing candidate, given …

Design, Fabrication Modeling, And Optical Metrology Of Mwir Silicon Metalenses, Weiyu Chen

Graduate Studies Theses and Dissertations 2026

Mid-wave infrared (MWIR) optical systems require compact, broadband, manufacturable components whose performance can be predicted and measured reliably. Silicon metalenses are attractive because silicon combines high refractive index, MWIR transparency, and semiconductor-compatible fabrication. This dissertation develops a scale-bridging design–fabrication-modeling–metrology framework for MWIR silicon metalenses.

A shared full-aperture framework connects meta-atom libraries, physical layout generation, angular-spectrum propagation, point-spread-function calculation, and focal-plane energy metrics. Building on this foundation, the Dispersive Sweatt Model (DSM) incorporates meta-atom dispersion into conventional ray-tracing software, enabling broadband co-optimization of metasurfaces and refractive elements. A process-aware design framework then incorporates scanning electron microscopy (SEM)-measured height–radius relationships produced by …

An Exploration Of The Professionalization Of Graduate Students Using Rhetorical Theory, Jennifer M. Crowell

Graduate Studies Theses and Dissertations 2026

This qualitative study examines the professionalization of graduate students as a rhetorically mediated and relational process of identity development within an interdisciplinary doctoral program. While existing scholarship emphasizes institutional structures and formal mechanisms of professional preparation, less attention has been given to how graduate students experience professionalization at the individual level. This study addresses that gap by exploring how students interpret expectations, use rhetorical strategies, and construct professional identities across multiple disciplinary contexts.

Grounded in organizational rhetoric and community of practice theory, the study investigates how graduate students in the Texts & Technology Ph.D. Program at the University of Central …

An Empirical Comparison Of K-Nearest-Neighbors And Logistic Regression Classification Models, Jackson Cushing

Graduate Studies Theses and Dissertations 2026

This thesis presents an empirical comparison of two classification methods: Logistic Regression and K Nearest Neighbors (KNN). The primary objective of this research is to evaluate the strengths and limitations of each method when applied to real-world datasets. Several publicly available datasets on diabetes, breast cancer, heart attack risk, and cardiovascular disease, were analyzed. For each dataset, K Nearest Neighbors models were implemented in the same way logistic regression had already been applied. The results demonstrate that while logistic regression offers interpretable parameter estimates and performs well when the underlying predictor and outcome relationship is approximately linear, however KNN can …

Non-Gaussian Phenomena In Light Scattering And Applications, Shubham Atul Dawda

Graduate Studies Theses and Dissertations 2026

Physical reality is rarely deterministic; which, when probed by electromagnetic fields that also fluctuate, leads to observables that are most efficiently modelled as statistical processes. At equilibrium, this is usually achieved by invoking the Gaussian statistics of underlying physical processes, however, in practice, one often encounters out-of-equilibrium conditions where Gaussian descriptions may not suffice. Such situations are plentiful in nature– from biology to astronomy. This dissertation addresses several non-Gaussian phenomena associated with light scattering, and includes specific models’ derivations, experimental techniques developments, and demonstrations of potential applications. The systematic presentation will consider circumstances that infringe upon specific assumptions of the …

Machine Learning Modeling Of In-Situ Effective Thermal Conductivities And Ablation Behaviors Of Ceramic Matrix Composites Under Hydrogen Combustion Environments For Gas Turbine Engines, Jayanta Bhusan Deb

Graduate Studies Theses and Dissertations 2026

Through the integration of experimental characterization, machine learning, deep learning, numerical modeling, and physics-informed artificial intelligence, this dissertation explores the thermal performance of polymer-derived ceramic matrix composites (CMCs) for hydrogen combustion environments. The polymer infiltration and pyrolysis (PIP) process was used to create Yttria-stabilized zirconia (YSZ)-fiber-reinforced ceramic matrix composites, which were then experimentally assessed under hydrogen torch and hydrogen combustion conditions typical of next-generation gas turbine and aerospace propulsion systems. Front- and back-surface temperature measurements were used to continually monitor thermal reactions, and post-test microstructural characterization and numerical simulations were carried out to evaluate material integrity and heat-transfer behavior. To …

Independent And Interacting Effects Of Co-Presence And Social Media 'Likes' On Online Disinhibition, Margaret M. Doheny

Graduate Studies Theses and Dissertations 2026

Social media platforms have fundamentally transformed interpersonal communication by creating environments in which behaviors are publicly reinforced through visible social feedback systems such as “likes.” Although prior research has linked online environments with increased disinhibition and negative behavior, existing literature has primarily focused on anonymity and invisibility as the primary mechanisms underlying these effects. However, the mechanistic role of physical and psychological co-presence in driving online disinhibition has received little empirical investigation. The central aim of the present study was to determine whether reduced social presence and the selective reinforcement of negative content contribute to online disinhibition and anticipatory reward-seeking …

Exploring The Experiences Of Late Age-On-Arrival Multilingual Learners In Postsecondary Education, Robyn D. Ecklund

Graduate Studies Theses and Dissertations 2026

Multilingual learners (MLs) are the fastest growing population in the United States public school system (Biondi et al., 2024; Kanno & Cromley, 2013; Perez & Morrison, 2016; Varghese & Fuentes, 2020). Within this population of students, there is a subset of students that arrive in the United States during secondary school. These “late age-on-arrival” students face significant linguistic, cultural and social challenges in their pursuit of postsecondary success after high school (Kanno, 2021; Kanno & Cromley, 2013; Perez & Morrison, 2016). This interpretative phenomenological analysis sought to answer the research question: what are the lived experiences of late age-on-arrival MLs …

Flow Field Characterization Of The Hyperreact Vitiated Hypersonic Wind Tunnel, Erik R. Fernandez

Graduate Studies Theses and Dissertations 2026

Reliable interpretation of hypersonic ground-test data requires knowledge of the thermochemical state delivered to the test section, especially in combustion-heated facilities where the gas is chemically altered before nozzle expansion. This thesis investigates the HyperReact vitiated hypersonic wind tunnel using the effective specific-heat ratio, γeff, as an experimentally inferred indicator of the coupled chemical and gas-dynamic behavior of hydrogen-air vitiated flow. HyperReact produces high stagnation temperatures through hydrogen-air combustion before expanding the mixture through interchangeable converging-diverging nozzles. During this expansion, temperature-dependent specific heats, molecular-weight changes, finite-rate chemistry, and internal energy relaxation can modify the relationship between Mach number, pressure ratio, …

Detecting Error In Ai-Generated Text: The Effects Of Authorship And Word Presentation Speed, Gabriela Flores Cruz

Graduate Studies Theses and Dissertations 2026

The increased us of artificial intelligent (AI) chatbots powered by Generative Pre-trained Transformers has raised concerns about users’ ability to detect errors of AI-generated text. This dissertation examined how readers identify inconsistencies in AI-generated expository passages using the inconsistency detection paradigm from comprehension monitoring research. Across two experiments, it investigated whether perceived authorship and word presentation speed influenced inconsistency detection. Experiment 1 used a 3 (author: human, AI, no author) × 2 (inconsistency type: internal, external) between-subjects design. Perceived authorship did not significantly affect hit rates, sensitivity, or response bias. Exploratory analyses indicated that reading comprehension and working memory predicted …

Lost Innocence, Found Martyrdom: Childhood War Exposure, Narratives, And Militancy In Hezbollah, Léa Faure

Graduate Studies Theses and Dissertations 2026

What explains participation in armed insurgent groups? Existing literature has examined psychological, individual, structural, and organizational dynamics of mobilization, but rarely looks at all three in tandem. This can be problematic, since these explanations cannot on their own explain variations in participation. Research on the effects of individual exposure to war-related violence also cannot explain why in conflict-ridden, organizationally dense environments, mobilization is still relatively rare despite widespread violent exposure. This study creates a unified theory of participation around the interaction between childhood exposure to war-related violence and relatable timely group narratives. Focusing on the case of Hezbollah in Lebanon, …

Gaining Voice, Creating Opportunity: An Exploration Of Non-Native English-Speaking Students’ Sources Of Self-Efficacy In U.S. College Public Speaking Classrooms, Desiree M M Flores-Molina

Graduate Studies Theses and Dissertations 2026

This qualitative dissertation explores the sources of public speaking self-efficacy among non-native English-speaking international students enrolled in U.S. college public speaking courses. The study applies Bandura's social cognitive theory to examine how students describe the experiences that shape their confidence and perceived ability to succeed, with attention to mastery experiences, vicarious experiences, verbal persuasion, and physiological and affective states. It also considers how classroom practices and instructor support contribute to or constrain students' confidence.

Data were collected through semi-structured student interviews, guided reflection artifacts connected to major speech assignments, and key-informant interviews with public speaking instructors. Thematic analysis was used …

Investigating The Impact Of School Leaders’ Leadership Style And Teachers’ Intrinsic Motivation For Improved Science Instruction In Elementary Schools, Leila M. Greene

Graduate Studies Theses and Dissertations 2026

A report by the National Academies of Sciences, Engineering, and Medicine, determined that 69% of U.S. elementary teachers are not prepared to teach science, especially in the areas of earth/space and physical sciences. As a result, some elementary teachers avoid teaching science. School administrators play a key role in providing a supportive environment to inspire and motivate elementary science teachers. For this reason, the study utilized the Self-Determination Theory (SDT), to examine three types of school leadership styles (Transformational, Transactional, and Laissez-Faire) and how they impact the intrinsic motivation for elementary science teachers in three areas including autonomy, competency, and …

Deciphering Ultrafast Photoinduced And Photocatalytic Reaction Dynamics On Oxide Surfaces: Direct Detection Of Radical Intermediates, Fragment Trapping, And Carbon–Carbon, Carbon–Oxygen, And Carbon–Hydrogen Bond Formation Pathways, Aakash Gupta

Graduate Studies Theses and Dissertations 2026

Understanding photoinduced reactions at solid interfaces is essential for advancing heterogeneous photocatalysis, surface photochemistry, and energy conversion technologies. This dissertation investigates the ultrafast dynamics of reactive intermediates, fragment trapping, and radical-mediated bond formation on oxide surfaces using time-of-flight mass spectrometry in conjunction with femtosecond pump-probe spectroscopy. Various experimental findings are validated through collaborations via density functional theory (DFT). By combining temporal, mass, and energy-resolved measurements, this work provides molecular-level insight into the elementary processes governing light-driven surface reactions. The photodissociation dynamics of CH₃I adsorbed on TiO₂(110), TiO₂(100), and amorphous silicon oxide surfaces are examined …

Policy Into Practice: Exploring School Counselors' And School Psychologists' Knowledge And Sensemaking Towards The Application Of Alternative Gifted Identification Criteria For Lower Socioeconomic Students, Brittany E. Hague

Graduate Studies Theses and Dissertations 2026

Persistent underrepresentation of students from lower socioeconomic status (SES) backgrounds in Gifted education reflects long-standing structural inequities embedded in identification policies and practices. In response, many Florida school districts have adopted equity-oriented identification reforms, including universal screening, local norms, and multiple-measure approaches. However, policy equity does not automatically translate into equitable outcomes; rather, it is mediated through the interpretive work of school-based practitioners. Guided by Sensemaking Theory, this convergent mixed-methods study examines how school counselors and school psychologists construct meaning around alternative Gifted identification criteria and how their beliefs, professional judgment, and organizational contexts shape implementation. The study explores how …

Examining Teachers’ Data Usage Using The Teacher Data Use Survey, Natasha L. Hawkins

Graduate Studies Theses and Dissertations 2026

The United States spends approximately 2.7 billion dollars on classroom assessments and local exams for K-12 students (SIMBA, 2019).  However, despite this financial investment and the adoption of data-driven frameworks such as Multi-Tiered System of Support, the U.S. Department of Education found that only 55% of teachers used student data to make instructional decisions (U.S. Department of Education, 2007).  This study aims to explore the psychological and organizational factors that influence teachers’ data use when making instructional decisions.

This study used the Teacher Data Use Survey (TDUS) to investigate the extent that teachers’ use of data could be predicted by …