Digital Commons Network^™

Intuiting Interaction: Meta-Reasoning And Meta-Learning As Foundations For Intelligent User Interfaces, Jeffrey Hsu

Theses and Dissertations

This research presents MARCO—a cognitive framework for Intelligent User Interfaces that uses meta-reasoning for context-aware adaptation across diverse tasks. It integrates multiple reasoning modules coordinated by a Meta-Cognitive Unit that selects strategies based on evolving demands. Evaluations show MARCO outperforms baselines in reasoning accuracy and computational efficiency.

Evaluating And Applying Coherence Models: Llms As Coherence Evaluators And Neural Entity Grids As Noun Entity Shift Indicators, Elyas A. Amin

Theses and Dissertations

This thesis investigates computational approaches to discourse coherence through two interconnected studies. First, we evaluate the capabilities of Large Language Models (LLMs) as coherence evaluation models across real-world textual data domains. Our experiments with GPT-4o, GPT-3.5, Llama, and Mistral models reveal that while LLMs significantly outperform traditional entity grid methods (55% improvement in F1 scores), their performance varies substantially across domains and coherence levels. Chain-of-thought prompting unexpectedly decreased performance, and fine-tuning experiments demonstrated improved detection of low and high coherence texts but diminished performance on medium coherence cases. In our second study, we explore the practical application of entity grid-based …

Who Are Singer-Songwriters In The 21st Century? A Case Study On The Role Of Digital Communications In Socio-Musical Activity., Miranda Commisso

Theses and Dissertations

This thesis follows ten self-identified, singer-songwriters from diverse musical and cultural backgrounds to identify commonalities, with special attention given to the ways they invest power and meaning in their music through use of social media. While these musicians are seeking capital gains through use of social media, they do it as a way to make music their livelihood, not out of a desire for excessive wealth or fame, which reflects this musical category more broadly.

Out From Under: Stories Of Endometriosis, Prisca Edwards

Theses and Dissertations

Six individuals. One diagnosis. In Out From Under, people living with endometriosis gather for an art-centered workshop. Through collage and conversation, they transform isolating medical experiences into paths of connection and collective healing.

Endometriosis affects approximately one in ten women of reproductive age, yet diagnosis is often delayed by nearly a decade. During this time, many suffer from debilitating symptoms without adequate care or accessible treatment. Out From Under explores the lived experience of endometriosis through the lens of socially engaged documentary filmmaking. Participants share their medical histories, emotions, and frustrations in a structured yet open environment designed for intimacy, …

Unplug: Psychological Impact Of Nature In The Age Of Media Technology, Haisi Hu

Theses and Dissertations

My thesis explores the psychological, cultural, and societal consequences of humanity's growing disconnection from the natural world, intensified by dependence on artificial environments such as media, technology, and generative AI.

Optimizing Small Ai Models For Biomedical Tasks Through Efficient Knowledge Transfer From Large Domain Models, Girish Sundaram

Theses and Dissertations

The PICO (Population, Intervention, Comparison, Outcome) framework is a widely adopted methodology for structuring clinical research questions and extracting relevant information from unstructured medical texts. However, traditional approaches for PICO classification demand computationally expensive domain-specific language models, such as BioBERT and ClinicalBERT, which require extensive training and large annotated datasets. This dissertation introduces Distilled Rapid Embedding Transfer (DRET), a novel knowledge transfer method designed to enable resource-constrained domain adaptation. DRET aims to efficiently transfer biomedical domain knowledge from large, specialized models to a compact, general-purpose model, DistilBERT, thereby enhancing its ability to perform domain-specific tasks without access to the original …

Found Words, Lost Homes: Immigration And The Language Of Identity, Ali Motamedi

Theses and Dissertations

This thesis explores the relationship between personal experience and public space through a body of work that moves between image, text, and material. Rooted in an intimate perspective and extending into streets, landscapes, and communal environments, the practice examines how nomadism—both physical and conceptual—shapes ways of seeing and making. Drawing from my background in engineering, a deep connection to Farsi literature, and the lived experience of immigration, the work reflects on themes of displacement, belonging, and identity.

A Limit That Recedes, Chloe Wilcox

Theses and Dissertations

In "A Limit that Recedes", I discuss my art practice in terms of accumulation and techniques of reproduction, such as casting, printing, and repetitive actions. I contextualize my work among artists such as H.C. Westermann, Isa Genzken, and Paul Thek. The work featured in this thesis explores ideas of aspiration, longing, and failure, and explores themes of the fraught relationship of the human and nature.

Improvement Of Hanford Waste Vitrification Algorithms With Machine Learning, Uncertainty Quantification, And Gradient-Based Optimization, Lagrande L. Gunnell

Theses and Dissertations

Over 200 million liters of nuclear waste is stored in tank farms in Hanford, Washington, USA. An ongoing effort to immobilize non-solid nuclear waste is through waste vitrification, where waste is mixed and melted with glass-forming chemicals (GFCs) to form a waste glass. Algorithms to determine the ideal mixing recipes are formalized as constrained optimization problems to maximize waste loading in the glass product, with constraints on several properties of the glass melt and final product. These properties are on the glass melt, such as viscosity, electrical conductivity, and corrosion rates, as well as the final glass product, such as …

Quantification Of Blue Carbon Within The Marine Animal Forest On The Rio Grande Valley Artificial Reef, Michelle Kathryn King

Theses and Dissertations

The protection and enhancement of coastal ecosystems provides a number of benefits such as heightened biodiversity, increased fisheries, and enhanced carbon capture (Yeemin et al., 2024). The study of blue carbon ecosystems has expanded rapidly in the last two decades since the term was coined in 2009 (Lovelock & Duarte, 2019). The most well-known blue carbon ecosystems include vegetation-dominated ecosystems such as seagrass meadows, salt marshes, and mangrove forests (Howard et. al., 2014). Prior studies have overlooked Marine Animal Forests (MAF) ability to capture carbon, until recent studies on soft coral (Coppari et al., 2019) and sponge (Rix et al., …

Finished!: How Newcomer Students Leveraged Family, Culture And Community To Complete A University Degree, Brenda Eliana Bocanegra

Theses and Dissertations

The transition from high school to college represents a pivotal time in the life of a student. For Latino/a students, this transition may be met with unique challenges shaped by their cultural, socioeconomic and educational backgrounds. This research aims to delve into the multifaceted experiences of newcomer Latino/a students as they navigate the transition from, high school to university, to educators, exploring the factors that influence their paths, the barriers they encounter, and the support systems that helped facilitate their success.

This research used Yosso’s (2005) community cultural wealth as the framework to examine the factors that influenced and impacted …

Drug-Target Binding Affinity Prediction With Graph-Based Models: The Impact Of 3d Structural Information, Angel Antonio Peredo

Theses and Dissertations

Drug–target affinity (DTA) prediction is a critical step in accelerating drug discovery and reducing its associated costs. Existing computational approaches often employ one-dimensional protein sequences or two-dimensional molecular graphs, which can overlook important three-dimensional (3D) structural features. The present study investigates whether incorporating 3D information of both proteins and ligands can yield more meaningful representations for binding affinity prediction. Specifically, Graph Transformers (GT) are utilized, and the integration of Equivariant Graph Neural Networks (EGNN) is explored to preserve and leverage spatial information during learning.

Using the CrossDocked2020 dataset, which provides protein structures in Protein Data Bank (PDB) format, proteins and …

Evaluating Structural Response Of Steel I-Girder Bridges Under Different Support Conditions: Construction Loading In Skewed Straight And Thermal Loading In Horizontally Curved Configuration, Bikesh Sedhain

Theses and Dissertations

Skewed and horizontally curved steel I-girder bridges are commonly designed and constructed to connect existing roadways and navigate obstacles in densely populated areas. However, these bridges can introduce significant challenges to bridge design and analysis, including complex lateral movements and torsional effects. Simplified support representation techniques that are commonly adopted in analysis and design may not accurately capture these effects, which lead to potential misestimations of bridge responses. This research aims to evaluate skewed and curved steel I-girder bridges for complicated loading and support conditions – skewed integral abutment bridges were studied during pre-composite deck placement and horizontally curved bridges …

Porous Geopolymer Composite For Geotechnical Applications, Karla Viviana Sierra Flores

Theses and Dissertations

This research investigates the development of a porous geopolymer cement grout for soil grouting applications, aiming to reduce carbon emissions associated with Portland cement while maintaining critical performance characteristics such as strength and permeability. Class F fly ash and metakaolin were used as aluminosilicate precursors, activated by sodium silicate and sodium hydroxide solutions. The addition of hydrogen peroxide served as a foaming agent to introduce porosity by creating a thermodynamic reaction that releases oxygen gas during mixing. Compressive strength, porosity, and hydraulic conductivity were evaluated, with results showing that metakaolin significantly increased compressive strength due to its smaller particle size …

Development Of A New Seismic Metamaterial For Passive Vibration Control Of Civil Structures, Shayan Khosravi

Theses and Dissertations

Seismic metamaterials are engineered structures that control mechanical wave propagation through frequency bandgaps, making them useful for structural control and seismic hazard mitigation. This study introduces the Passive Friction Seismic Metamaterial Base Isolation (PFSMBI) system, which combines frequency bandgaps and solid friction energy dissipation to improve the seismic performance of civil structures. The PFSMBI consists of a lattice structure with identical cells connected by springs and dampers, shifting a building’s natural frequency away from earthquake excitations. A dynamic model analyzes the system’s absolute acceleration, drift responses, and base shear force, optimizing parameters such as frequency ratios, mass ratios, and the …

A Modern Prometheus: Frankenstein's Relevance In Our Modern Society, Amanda C. Partida

Theses and Dissertations

For over two hundred years Mary Shelley’s Frankenstein has been in the public consciousness. It took only five years for the first adaptation, Presumption; or the Fate of Frankenstein, to be staged in 1825. Since then, there has been at least one adaptation every decade, with Universal Studios’ 1931 Frankenstein as the most famous adaptation, which shows just how much Shelley’s novel of science and hubris has resonated with audiences for many years.

This thesis aims to connect the ever-changing scientific anxieties of society with the most well-known Frankenstein film adaptations. By focusing on four specific films Frankenstein (1931), …

Vibration-Based Algorithm For Diagnostic And Prognostic Condition Monitoring Of Railroad Bearings And Wheels, Jeffery Ray Pams

Theses and Dissertations

Bearing and wheel failure accounts for the majority of equipment-related train derailments on US railroads. Current wayside monitoring systems have been insufficient in the prevention of catastrophic derailments prompting the rail industry to explore the possible integration of onboard condition monitoring systems into their rail operations. The University Transportation Center for Railway Safety (UTCRS) in partnership with Hum Industrial Technology, Inc., has developed a wireless onboard system intended for the condition monitoring of railroad bearings and wheels. This thesis presents the development, evaluation, and implementation of an algorithm designed to be used in conjunction with these systems to provide railroad …

Analysis And Modeling Of Porous Media Networks In Petroleum Reservoirs Through Microscale Thermography And Core Flooding, Alan Petrovich-Mar

Theses and Dissertations

Reservoir rocks are porous materials that are an important area of study since they are present in reservoir sites rich in crude oil. It is important to understand the spreading phenomena on the rock surface and through the porous structure during fluid flow through these porous materials. For a complex system like reservoir rocks, factors such as spatially varying chemical composition and topography, multidimensional porosity, temperature, humidity, and existing oil/water in the pores can affect wettability and be a detriment to oil recovery.

The interaction of core samples with different porosity and permeability with water after proper cleaning procedures and …

Synthesis And Characterization Of Composite Hydrogels For Tissue Engineering: An Investigation On Mechanical Properties And Biocompatibility, Ismael Lamas Jr.

Theses and Dissertations

This study investigates the fabrication and characterization of Polyvinyl Alcohol (PVA)/agar double-network (DN) hydrogels for biomedical applications, focusing on mechanical strength, biocompatibility, and tissue engineering potential. Techniques like swelling ratio analysis and Fourier-transform infrared spectroscopy (FTIR), alongside antibacterial and cytotoxicity assays, were employed to evaluate the hydrogels' properties. Results show that increasing agar content enhances mechanical and physical properties, with swelling ratios increasing by 300% when agar makes up 6% of the hydrogel, compared to 140% without agar. A positive correlation was observed between agar concentration and compressive and tensile moduli. Load-relaxation rates, essential for viscoelastic properties, also improved with …

Development And Tribological Characterization Of Uhmwpe-Tin Composite Coatings Deposited By Electrostatic Spraying, Jarrod Keith Perez

Theses and Dissertations

The increasing demand for inert, wear-resistant, cost-efficient, environmentally friendly, and low-friction coatings has driven extensive research into polymer-based solutions. Among these, ultra-high-molecular-weight polyethylene (UHMWPE) has emerged as a strong candidate due to its low density, anticorrosion properties, self-lubricating nature, affordability, and ease of processing. However, its low load-bearing capacity limits its widespread use in high-stress tribological applications. To overcome this limitation, this project investigates the development and characterization of UHMWPE composite coatings reinforced with titanium nitride (TiN) particles at varying concentrations (2.5, 5, and 10 wt%) to enhance their mechanical properties and wear resistance.

P-Adic Quantum Mechanics, Infinite Potential Wells, And Continuous-Time Quantum Walks, Nathaniel P. Mayes

Theses and Dissertations

In this thesis, we introduce a p-adic version of the infinite potential well in quantum mechanics (QM). This model describes the confinement of a particle in a p-adic ball. We rigorously solve the Cauchy problem for the Schrödinger equation and determine the stationary solutions. The p-adic balls are fractal objects. By dividing a p-adic ball into a finite number of sub-balls and using the wavefunctions of the infinite potential well, we construct a continuous-time quantum walk (CTQW) on a fully connected graph, where each vertex corresponds to a sub-ball in the partition of the original ball. …

Camassa-Holm Type Equations And Multi-Peakon Solutions, Yonghong Chen

Theses and Dissertations

This thesis investigates the multi-peakon solutions of a class of Camassa-Holm type equations with quadratic nonlinearities, specifically focusing on the differential equation mt +θmu+ amxu+bmux = 0, where m = u−uxx, and θ, a, b are arbitrary constants. We derive the nonlocal form of the equation and explore its peakon dynamics, including the well-known Camassa–Holm, Degasperis–Procesi, and Holm–Staley b-family equations. By employing a practical computational approach, we analyze the N-peakon solutions and present the corresponding dynamical systems, particularly focusing on the two-peakon case. The results will …

Survival, Biofilm Formation, And Control Of Foodborne Pathogens In Hydroponic Systems, Sai Rithin Reddy Kothur Thirupathi

Theses and Dissertations

The growing global population and increasingly unpredictable weather patterns have intensified the demand for sustainable food production methods. Hydroponics, a form of Controlled Environment Agriculture (CEA), has gained attention as a viable solution due to its efficient use of resources such as land and water. Although hydroponic systems are perceived as safer alternatives to conventional farming, recent foodborne outbreaks associated with these systems have raised significant public health concerns. This thesis research investigated the food safety risk in hydroponic, particularly the survival and persistence of foodborne pathogens. Chapters I and II provide a comprehensive overview of hydroponics and the microbial …

Implementing And Evaluating An Ai-Powered Visual Decision Support System To Improve Antibiotic Usage Among Physicians With A Built-In Early Warning System, Akua Sekyiwaa Osei-Nkwantabisa

Theses and Dissertations

The widespread misuse and excessive prescription of antibiotics have played a pivotal role in the emergence and proliferation of antibiotic-resistant bacteria, posing a critical global public health crisis. Addressing this challenge necessitates innovative solutions that enhance antimicrobial stewardship. This study presents the development and implementation of a visual decision support system designed to monitor and optimize antibiotic usage among healthcare providers. The proposed system integrates advanced machine learning algorithms with real-time data analytics to provide a dynamic, evidence-based decision support tool. Specifically, a neural network model was developed after evaluating multiple machine learning approaches, including Random Forest, Logistic Regression and …

Mitigation Of Droughts And Floods From Conjunctive Water Resource Management Using Managed Aquifer Recharge (Mar): Experiments And Numerical Modeling, Sumiaya Amin Preota

Theses and Dissertations

Water supply of Rio Grande Valley in South Texas has been impacted by intensified climate extremes such as droughts and floods. This research assessed the viability of conjunctive water resource management using Managed Aquifer Recharge (MAR) carbon-modified infiltration basins. Multiple environmental variables in the Arroyo Colorado watershed were investigated, i.e., (i) water availability- quantity of floodwater can be repurposed, (ii) storativity and suitability - capacity within the unsaturated aquifer and ideal locations for building infiltration basins, (iii) water quality- contaminant removal using active carbon/biochar.

Unappropriated flow and high magnitude flow (HMF) analysis indicated that excess floodwater can be a …

Cloning And Heterologous Expression Of Human Nachrs And A Unique Spider Venom Toxin, Christine M. Vega

Theses and Dissertations

Drug development research has long focused on synthesizing novel therapeutics while overlooking isolation from naturally available sources. Recently, the discovery of the therapeutic effects of highly bioavailable animal venom caused the field of venom research to soar in popularity. Animal venom serves as a natural, sophisticated tool optimized over millions of years by evolution with the ability to bind to ion channels such as nAChRs, non-specific ligand-gated ion channels distributed throughout the human nervous system, with high selectivity and specificity. However, purifying individual venom toxins from crude venom is challenging due to its availability. Therefore, synthesizing large quantities of venom …

Early Breast Cancer Detection With Ultrasound Data Using Nmf, Rutvi Khamar

Theses and Dissertations

Early detection of breast cancer significantly influences patient outcomes. Dynamic Contrast-Enhanced Ultrasound (DCE-US) has shown promise in early detection by visualizing tumor vascularity and perfusion dynamics in real-time. This study evaluates the efficacy of DCE-US in distinguishing four stages of cancer progression: normal, hyperplasia, ductal carcinoma in situ (DCIS), and invasive cancer, using a transgenic mouse model that mimics human breast cancer. Ultrasound burst pulses, while commonly used to remove unbound contrast agents, can potentially damage human tissues. Using the pre-pulse data helps mitigate this risk, ensuring safer and more reliable measurements. A VEGFR2-targeted microbubble contrast agent was injected, and …

Fpso Motion In Synthetic Environments: Stereo-Driven Deep Learning For Wavefield Reconstruction, Motion Analysis, And Mooring System Assessment, Omar Jebari

Theses and Dissertations

This dissertation presents an integrated synthetic environment for simulating the motion and monitoring the integrity of a moored Floating Production Storage and Offloading (FPSO) vessel. The central hypothesis is that synthetic data-driven approaches can (1) accurately estimate spatio-temporal wave fields, (2) predict vessel motion, and (3) monitor the integrity of the mooring system—using stereo imagery of the wave field and structure motion, both of which can be acquired in real time. The first study develops a synthetic framework for estimating spatial wave fields using stereo images captured by dual cameras mounted on a moving FPSO. Dynamic sea states and vessel …

Blink-Related Brainwaves As Digital Biomarkers For Cognition Assessment During Complex Tasks, Lexine Carmlixa Sibert-Jolissaint

Theses and Dissertations

Blink-related oscillations (BROs) are neurophysiological responses observed in electroencephalography (EEG) following spontaneous blinking, reflecting the brain processing of new visual information. Prior research has demonstrated BRO responses across various cognitive states, such as resting, cognitive loading, and sensory stimulation, highlighting their potential as a non-invasive biomarker of brain function. We conducted the first investigation of BRO responses during a verbal fluency (VF) task, which is a complex, dynamic task state combining memory, visual perception, executive function, and language processing. Using publicly available EEG data from 22 healthy adults, we measured BRO responses over the left anterior frontal region corresponding to …

Tracing Wave Induced Flow Field Surrounding Reef Balls, Alexis Scheele

Theses and Dissertations

This study aims to explore the wave-induced flow dynamics around Reef Ball models using dye tracing techniques. Reef Balls are hemispherical artificial reefs with a hollow center and cavities throughout each face, they are designed in this manner to enhance coral reef restoration. Reef Balls rely on wave energy and current motion to facilitate water circulation and nutrient exchange within and surrounding their structure. To understand how wave action influences flow patterns around these artificial reefs, a scaled model experiment was designed to simulate real-world conditions. The experiments were conducted in the wave flume at Florida Institute of Technology’s Surf …