Digital Commons Network^™

Viral And Host Cell Determinants Of Resistance To Complement-Mediated Killing During Parainfluenza Virus Type 5 Infection, Jenna R. Aquino

Graduate Studies Theses and Dissertations 2026

RNA viruses are a major global public health concern due to high mutation rates, zoonotic potential, and immune evasion. Parainfluenza virus 5 (PIV5) can establish persistent infections (PIs) despite encountering innate immune responses, including the complement (C′) system. RNA virus replication produces defective interfering particles (DIPs) containing truncated defective viral genomes (DVGs) that depend on standard (STD) virus for replication. DVGs are increasingly detected in natural infections and modulate type I interferon (IFN-I), but their role in the C′ system is unclear. We investigated how DVGs affect C′-mediated lysis during PIV5 infection using real-time in vitro cell viability assays. C′ …

Learning-Based Optimization For Collaborative Truck-Drone Routing And Scheduling, Ahmad A. Bany Abdelnabi

Graduate Studies Theses and Dissertations 2026

Modern delivery networks increasingly rely on innovative technologies such as drones working alongside trucks to meet rising demands for fast and efficient last–mile transportation. Hybrid truck–drone delivery offers strong potential, but its effectiveness depends on careful synchronization between trucks and drones. Although drones provide fast, direct travel, their limited endurance and the need to coordinate launch and recovery with trucks create tightly coupled routing and scheduling interactions. Poor dispatch decisions can cause truck waiting, reduce parallelism, and increase mission completion time. These challenges motivate decision frameworks that explicitly model synchronization and develop scalable methods for coordinated truck–drone operations. This dissertation …

Restoring Digital Trust: Decentralized Frameworks For Identity, Consent, And Media Provenance, Raghu N. Avula

Graduate Studies Theses and Dissertations 2026

Digital platforms are deeply embedded in modern society through centralized network architectures. As online interactions transition to the physical world handling sensitive data, user privacy and cryptographic security require enhancement beyond traditional limits. This dissertation presents a decentralized “Tri-Layer Trust Architecture” that leverages Verifiable Trust Registries, Cryptographic Binding, and Edge Verification to prioritize data sovereignty and local authentication. To demonstrate the architecture’s applicability across distinct operational environments, we implement three solutions: (1) Verifiable Presence for peer-to-peer ride-sharing via D-RideX, which encrypts biometric data on physical hardware (TEEs) and Soulbound Tokens (SBTs) to prevent impersonation without cloud database exposure; (2) Verifiable …

Understanding The Potential Biogeochemical Effects Of Alternative Restoration Materials: A Study Of Basalt And Other Materials, Cadie L. Barnes

Graduate Studies Theses and Dissertations 2026

Concern over the effects of microplastics on estuarine ecosystems and public health has prompted many restoration practitioners to switch from plastic materials to more “natural” substrates. These natural (BESE-biopolymer, cement-jute structures) and non-plastic (basalt fiber) materials should not contain harmful substances; however, their chemical composition is unknown. Natural materials may degrade faster in subtropical environments and release nutrients into surrounding waters, which is concerning for eutrophic restoration areas. Basalt fiber bags, made from melted basalt rock spun into fibers, have not been evaluated for biogeochemical impacts within estuaries. To address this knowledge gap, two field experiments and two laboratory experiments …

An Integrated Framework For Last-Mile Delivery Optimization Using Reinforcement Learning And Social Media-Based Traffic Prediction In Underdeveloped Megacities, Vasanth Bhat

Graduate Studies Theses and Dissertations 2026

Supply chain management has become increasingly critical as transportation costs rise and urban delivery systems place additional pressure on already congested networks. Last-mile delivery—the movement of goods from distribution centers to end users—represents the most expensive and operationally complex segment of the logistics process, particularly in underdeveloped megacities characterized by unpredictable traffic, limited infrastructure, and sparse real-time data. This dissertation proposes an integrated framework for optimizing last-mile delivery in such environments by combining social media–based traffic intelligence, machine learning, and deep reinforcement learning. The framework leverages unstructured, real-time data from social media platforms to enhance traffic prediction and incorporates these …

Investigation Of Exotic Phenomena In Topological Quantum Materials, Iftakhar Bin Elius

Graduate Studies Theses and Dissertations 2026

he First Quantum Revolution established quantum mechanics as the foundation of modern physics, enabling transformative technologies such as semiconductors, lasers, and transistors through prin-ciples of quantization, wave-particle duality, and uncertainty. The ongoing Second Quantum Rev-olution harnesses entanglement, superposition, and coherence to advance quantum computation, communication, simulation, and sensing. Central to this endeavor is the study of quantum mate-rials hosting novel electronic structures and emergent phases, including topological insulators and Dirac, Weyl, and nodal-line semimetals. In this thesis, using angle-resolved photoemission spec-troscopy (ARPES), transport measurements, and density functional theory (DFT) calculations, we investigate three classes of materials: (i) magnetic topological semimetals, …

Computational Modeling Of Bubble Dispersion In Alginate Hydrogel Foams For Radiologically Equivalent Biomedical Phantoms, Godson N. Brako

Graduate Studies Theses and Dissertations 2026

The foaming of hydrogels presents a promising strategy for tailoring mechanical and radiological properties to replicate biological soft tissues for biomedical phantoms. Achieving uniform and predictable void fraction distributions in alginate hydrogel foams remains a challenge due to the complex interplay between bubble dynamics, matrix rheology, and interfacial forces during the pre-gelation aeration stage. This thesis develops a Computational Fluid Dynamics framework using the transient Eulerian two-fluid approach to predict void fraction distribution in alginate hydrogel precursor solutions aerated by air injection through a bottom nozzle. The objective is to use the framework for design of the foaming system to …

Examining Team Leader Visual Dynamics And Team Performance In Pediatric Emergency Simulations, Annamarie Brosnihan

Graduate Studies Theses and Dissertations 2026

Pediatric medical emergencies are dynamic, high-intensity clinical situations that demand coordinated interdisciplinary actions for optimal patient outcomes. Effective teamwork and leadership are critical, especially during the preparatory phase. Here, team leaders define task goals, assign individual roles, and maintain situational awareness. This phase directs attention, organizes team dynamics, and ensures medical interventions are deployed properly. Medical simulations provide a unique opportunity to capture dynamic leadership behaviors in a controlled low-stakes environment using multimodal data, such as eye tracking, to gain insight into team leader cognitive processes (i.e., attention allocation and information processing). Prior research suggests that leaders who visually attend …

The Bite Model And Multi-Level Marketing: How Monat Propagates, Lilly D. Cheung

Graduate Studies Theses and Dissertations 2026

This study aims to understand how MONAT Global Corp, a Multi-Level Marketing (MLM) company, utilizes rhetoric that aligns with Steven Hassan’s BITE Model of Authoritarian Control. Hassan is a cult expert and cult survivor whose work primarily explains undue influence and thought control with BITE representing Behavior, Information, Thought, and Emotional control. The MLM MONAT is a haircare brand that operates through a recruitment-and-sales-based hierarchy, in which sellers sign up and work under one another in a layered marketing structure. To meet quotas and maintain ranks, representatives will use rhetorical strategies to recruit new sellers beneath them in their ‘downline’ …

Detonability Limits Of Liquid Fuel Cloud, Khaoula Chougag

Graduate Studies Theses and Dissertations 2026

Detonation-based propulsion systems are of significant interest owing to their high thermodynamic efficiency, rapid energy release, and favorable entropy production relative to deflagration-based systems. Liquid fuels offer practical advantages in storage and volumetric energy density, making them attractive candidates for next-generation detonation engines. This dissertation investigates the detonability characteristics of liquid hydrocarbon fuel clouds through three interconnected studies conducted in a turbulent shock-tube environment using high-speed imaging and pressure diagnostics. The first study maps the detonability limits of monodisperse n-dodecane clouds by systematically varying droplet diameter (5-50 μm) and O₂/N₂ oxidizer composition at equivalence ratios spanning ϕ = 0.8-2.0. Results …

Detection And Discrimination Of Targets In Infrared Imagery, Adam T. Cuellar

Graduate Studies Theses and Dissertations 2026

Automated infrared (IR) imagery analysis is essential for persistent surveillance, defense, and security, yet it remains difficult when sensors move and when unknown objects appear. This dissertation addresses two fundamental problems: (1) detecting small moving targets amid platform-motion induced parallax and (2) distinguishing between known stationary targets and out-of-distribution (OOD) objects.   For detecting moving targets while the platform itself is in motion, auxiliary Global Positioning System and Inertial Navigation System data are combined with image analysis. Direction Cosine Matrices from calibrated inertial measurements enable sub-pixel frame alignment unattainable with purely image-based registration. The stabilized sequence is processed by a Reed–Xiaoli …

A Framework For Optimizing Creep Model Parameters From Conventional And Accelerated Creep Tests, William D. Day

Graduate Studies Theses and Dissertations 2026

The demand for efficiency in power generation and propulsion requires higher firing temperatures and reduced cooling air consumption which raises metal temperatures. This makes simplistic creep evaluations, such as Larson-Miller and Orr-Sherby-Dorn parameters, inadequate. Finite element analysis (FEA) must simulate primary and secondary creep, predict failure, and provide design guidance. Gas turbine components, expected to last over 100,000 hours, often require extrapolation of limited test data for new materials. It is essential that robust creep simulations be developed efficiently, accurately, and effectively use limited test data.

This dissertation describes an optimized framework for efficient creep testing and rapid construction of …

Temperature And Speciation Measurements Of Aluminum-Laden Detonation Flows Via A Three-Color Wavelength Modulation Spectroscopic Sensor, Marc B. Etienne

Graduate Studies Theses and Dissertations 2026

Tunable diode lasers are widely used and are known to be great options for continuous wave lasing applications. Because of their stability and spectral selectivity, they have become an important diagnostic tool for modern combustion research. Previous combustion research, particularly those focused on solid and hybrid rocket systems, have shown that the interaction of aluminum with a reacting flow can greatly affect the dynamics and the thermochemical properties of the surrounding gas, therefore understanding the effects of aluminum-laden flows is critical for the advancement of these propulsion systems. However, due to the high degree of optical interference, high temperatures, and …

Cylinder Wake Stability Effects Of Passive Forebody Modification And Active Harmonic Actuation, Matt Duran

Graduate Studies Theses and Dissertations 2026

This dissertation investigates the manipulation of global and three-dimensional instabilities in the wake of a circular cylinder through two separate flow control methods. This study first focuses on the influence of attached leading edge forebodies as a form of passive flow control designed to introduce upstream streamline curvature, where the curvature takes the form of a concave and convex case. We demonstrate that for both cases this induced curvature significantly modifies the primary instability, which suppresses periodic vortex shedding (Von Kármán vortex street). We found an increase in critical Reynolds number of 56.6 and 60.1 for the concave and convex …

Privacy-Preserving Matrix Computations Using Homomorphic Encryption With Applications In Ai, Yang Gao

Graduate Studies Theses and Dissertations 2026

Homomorphic encryption (HE) enables computation directly on encrypted data, offering strong privacy guarantees for sensitive applications. Despite its promise, the practical adoption of HE remains limited by high computational overhead and inefficient support for fundamental operations such as matrix multiplication, sparse computation, and secure retrieval.

This dissertation addresses these challenges by developing efficient and scalable methods for privacy-preserving computation under HE. First, it presents HEGMM, a framework for secure general matrix multiplication that reduces redundant computation and improves efficiency through optimized data layouts. Second, it introduces the Compressed Sparse Sorted Column (CSSC) format for sparse matrix-vector multiplication (SpMV), enabling efficient …

Entre Dos Mundos: A First-Generation Cuban American's Journey Through Identity And Memory, Alessandra M. Gonzalez

Graduate Studies Theses and Dissertations 2026

ENTRE DOS MUNDOS (translated as “between two worlds”) explores the complexities of growing up as the eldest daughter in a Cuban American immigrant family and the tensions of navigating life between cultures. Set in Miami, the collection blends lyrical and prose poetry to examine cultural identity, diaspora, intergenerational memory, and the emotional landscape of young adulthood. Through personal narrative and historical context, ENTRE DOS MUNDOS traces the speaker’s coming-of-age amid the inherited stories of her family’s escape from Cuba and the lingering effects of displacement. The section “Yo” focuses on the psychological challenges of adolescence and early adulthood, reflecting on …

Predicting Safety And Mobility Parameters Based On Comprehensive Analytics Of Connected Vehicle Data, Lei Han

Graduate Studies Theses and Dissertations 2026

Traffic safety and mobility remain critical challenges for modern transportation systems. The emergence of connected vehicle (CV) data offers unprecedented opportunities to capture microscopic, non-aggregated driving dynamics to support precise and finer-grained traffic safety and mobility research. This dissertation develops a comprehensive CV data–driven analytical framework to advance traffic safety and mobility research across multiple roadway contexts, including intersections, segments, freeways, and urban arterial networks. For traffic safety, this research extracts both longitudinal and lateral risky driving behaviors from CV trajectories and integrates them with macro-level roadway, traffic, and visual environment features. A spatial machine learning framework is proposed for …

Benchmarking And Advancing Heterogeneous Data Reasoning With Large Language Models, Yebowen Hu

Graduate Studies Theses and Dissertations 2026

Large language models (LLMs) increasingly face complex real-world tasks requiring complex reasoning over heterogeneous inputs, including text, numbers, and structured data. This dissertation first investigates the capability boundaries of LLMs under such scenarios. Through the MeetingBank and SportsMetrics benchmarks, we show that while LLMs exhibit linguistic fluency, they struggle with factual accuracy, information density, and quantitative cross-referencing in meeting summarization and sports analysis. Using DecipherPref, a pair-wise evaluation framework grounded in the Bradley-Terry-Luce model, we further probe LLMs' inherent preferences for information-rich and lengthy inputs, and we identify critical deficiencies in financial decision-making through DeFine, where models lack precise insight …

Computational Methods For Rna 3d Structure Classification And Structural Motif Discovery, Nabila Shahnaz Khan

Graduate Studies Theses and Dissertations 2026

Non-coding RNAs perform diverse and essential cellular functions, and the study of RNA structures is expanding rapidly. The growing volume of RNA 3D structures highlights the need for efficient computational methods to identify recurring structural motifs, which are often conserved and critical to RNA function. However, the complexity and redundancy of RNA structures in existing databases pose significant challenges for motif discovery and structural analysis. To address these challenges, this dissertation presents three complementary computational approaches. First, a non-redundant RNA structural dataset, RNA-NRD, was developed to systematically reduce redundancy in RNA structural data and provide a reliable foundation for downstream …

Variability In Parainfluenza Virus Derived From Persistently Infected Lung Epithelial Cells, Cassidy R. Conte

Honors Undergraduate Theses

An acute infection (AI) with RNA virus can progress to a persistent infection (PI) where infected cells continue to grow and replicate while producing progeny virions. PIs with respiratory viruses are clinically important, as they can lead to prolonged shedding of viruses and generation of mutant viruses that are altered in pathogenesis and/or immune responses. Parainfluenza type 5 (PIV5) is a prototypic RNA virus shown to cause PIs in cell culture. Plaques in tissue culture from an acute infection with parental PIV5 were homogeneous in size and shape. By contrast, plaques from PIV5 persistently infected cells were heterogeneous, having a …

Assessing Physiological Arousal During A Standard Versus Inverted Vigilance Task Using Heart Rate Variability, Taha Riaz

Honors Undergraduate Theses

Background: Vigilance tasks require sustained attention over long periods of time while monitoring for rare critical signals. Inverted or reverse vigilance/sustained attention response tasks (SART) may impose greater response-control demands. Although prior studies have compared these tasks behaviorally, there are fewer investigations examining whether they differ in physiological arousal as indexed by heart rate variability (HRV).

Method: Undergraduate students from UCF completed a variation of either the X-CPT (standard vigilance task) or the CPT-3 (inverted/SART) task. Electrocardiogram data was recorded continuously. Data from 40 participants were analyzed. HRV was indexed using frequency domain analysis using the low-frequency to high-frequency ratio …

Texels: A Programmable Textile Interface For Replicating Textures, Maya E. Eusebio

Honors Undergraduate Theses

Self-moving fabric interfaces have massive potential for applications in fields ranging from art to haptic feedback to deployable space structures. However, current systems of implementation face the impracticalities of bulkiness, burnout, and energy consumption on top of limiting designs that can only contract uniformly or create one pre-programmed shape. For this technology to bring the change that it promises, we must break the barriers of usability and sustainability to make it a practical choice. This thesis aims to develop a scalable model of fabric that designers, programmers, and anyone else can acquire or create with accessible materials, integrate into design …

Performance Analysis Of Sparse Neural Networks In Brain Abnormality Detection, Megan Danh

Honors Undergraduate Theses

Neuroimages have held the capability of revealing to medical professionals patterns for brain abnormalities since their development. However, more recently, these professionals and researchers are looking to use neural networks to identify these brain abnormalities through neuroimages for early detection that would allow more effective treatment. Neuroimage datasets, specifically functional magnetic resonance imaging (fMRI), are extremely large in size. This would result in their processing and training to be computationally expensive, even with smaller neural networks. Fortunately, recent pruning methods have recently emerged, where network weights and neurons are pruned to reduce computational cost without compromising too much accuracy. By …

Immigration Securitization And Educational Access: The Impact Of U.S. Immigration Policy On International Students, Cossir Carter

Honors Undergraduate Theses

This study examines the securitization of international students within the broader transformation of United States immigration policy from the post-9/11 era to the present administration. Following the September 11 attacks, immigration governance was increasingly reorganized under a national security framework, significantly altering the regulatory environment surrounding student visas. Subsequent policy shifts have intensified monitoring mechanisms and administrative controls that directly shape international students’ access to education and mobility. Given the sensitivity of immigration-related participation in the current political climate, this research employs qualitative policy analysis rather than direct student surveys. Under the Trump administration, this securitization intensified through stricter visa …

Effects Of Hydrogen Enrichment And Premixing On Flame Stability In A High-Pressure Axial-Stage Combustor, Alexandre Fernandes C. Santiago Filho

Honors Undergraduate Theses

The addition of hydrogen to conventional fuels enhances reactivity and can increase the risk of flashback in premixed gas turbine combustors. This study investigates the effects of premixing length and hydrogen concentration on flame stability in a high-pressure axial-stage combustor. Experiments were conducted at the UCF Propulsion and Energy Research Laboratory using a two-stage configuration, where the primary stage provided a high-temperature vitiated crossflow using a hydrogen-piloted, premixed methane–air mixture, and hydrogen-enriched methane–air mixtures were injected through a concentric fuel-tube injector in the axial stage. Premixing length was varied for pure hydrogen flames, and hydrogen concentration was varied at a …

Effect Of Plant-Based Vs. Standard American Diet On Cardiovascular Parameters In College Students, Timothy J. Horanic

Honors Undergraduate Theses

This study examines how adherence to different dietary patterns—specifically a plant-based diet compared to the standard American diet—can influence physiological indicators tied to cardiovascular health, including heart rate variability (HRV), blood pressure (BP), and heart rate (HR). Among these markers, HRV is considered especially sensitive to autonomic nervous system (ANS) regulation and may offer earlier insight into physiological stress or dysfunction than HR or BP alone. Although nutritional habits are widely believed to impact heart health, few investigations have focused on how specific long-term diets affect autonomic and cardiovascular metrics in healthy, college-aged adults. This study aims to investigate if …

Evaluation Of The Long-Term Sealability Performance Of Aramid Fiber Nitrile-Based Gaskets, Salome Ramirez

Honors Undergraduate Theses

The reliability of sealed, oil-filled containers is critical for maintaining the operation of high-voltage energy systems, in which the sensitive electronics need to be isolated from the cyclic conditions associated with outdoor environments. New materials bring the possibility of extending service lifetimes and maintenance intervals. Aramid fiber nitrile-based gaskets are an attractive alternative to conventional gasket choices due to their long-term stability in various environments and compatibility with porcelain, metals, and plastics. For newly designed porcelain-to-metal fittings, understanding the behavior of the candidate gasket material under realistic loading conditions is essential to ensure long-term seal integrity and equipment safety. Traditional …

Discomfort In Silence: Investigating Workplace Discrimination In Relation To Employee Disclosure Of Menopausal Health Issues, Alysia Furbish

Honors Undergraduate Theses

Menopause is a universal developmental transition for women that often coincides with peak career years, yet it remains underexamined in organizational research and is frequently treated as a private or taboo workplace topic. This lack of visibility shapes whether women feel able to disclose menopause-related challenges, seek accommodations, and access organizational support. Drawing on literature related to pregnancy and motherhood discrimination, menopause stereotypes, and disclosure literature, this study examines how symptom burden, ideal worker norms, and stigma-related identity management contribute to anticipated workplace discrimination and disclosure decisions. Data were collected via an online survey of 106 working women recruited through …

To Print A Remake: An Analysis Of Hollywood Remakes And Their Cultural Value, Connor F. Seaton

Honors Undergraduate Theses

In recent years, audiences and movie critics have expressed concern that Hollywood’s growing reliance on remakes, sequels, franchises, and similar adaptations has led to a broader worry that originality is fading from modern cinema and that the industry is instead focused on using adaptations to maximize profits. Although adaptation is often seen as a commercially driven framework for reproducing existing intellectual property in a new media format, this thesis argues that it should be recognized as an autonomous cultural category with its own artistic, historical, and social significance and merit. By analyzing adaptation scholarship and reviewing its complex historical development, …

The Role Of The Amygdala In Huntington Disease-Associated Aggression, Luis Torres

Honors Undergraduate Theses

Huntington disease (HD) is a fatal neurodegenerative disorder caused by a trinucleotide CAG expansion in the huntingtin gene (HTT). HD is characterized by motor, cognitive, and psychiatric symptoms that significantly impact patient and caregiver quality of life. Psychiatric symptoms, including depression, anxiety, and irritability, are common manifestations of HD and can emerge years before the onset is clinically diagnosed. Aggression is a common and challenging psychiatric symptom in HD, often misunderstood and associated with caregiver stress, early institutionalization, and reduced quality of life. Despite its clinical impact, aggression in HD lacks effective, targeted treatment options. Similar to HD …