Digital Commons Network^™

Cuentos De Barro, Daniel Anthony Vasquez

Theses and Dissertations

Cuentos de Barros addresses the complexities of creating art and processing indigenous heritage and personal history as a Salvadoran immigrant within a neo-colonial society. Centering ritual, care, and healing, the artist imbues sculptures with tenderness using abstract forms and the tactile manipulation of unfired clay and graphite.

Woe Be Gone, Yuhan Hu

Theses and Dissertations

In Woe be gone, Yuhan Hu explores the porous boundaries between image, memory, perception, and material through a deeply personal and reflective multimedia practice. Drawing on influences from film, literature, and game environments, Yuhan investigates how moments—fleeting or fixed—transform when mediated through photography, digital frames, and sculptural assemblage. Anchored by a series of installations and image-based works, the thesis unpacks the poetics of poor images, the failures and promises of translation, and the emotional residue of digital and physical touch. With a tactile sensitivity to materials like wood, wax, solder, and horsehair, Yuhan contemplates impermanence, miscommunication, and care, embracing …

Indeed, In A Way, It's Worse., Jani C. Zubkovs

Theses and Dissertations

This thesis investigates walking as both method and metaphor within an artistic practice grounded in photography. Through walking, I engage in a sustained act of seeing — one that resists the speed and consumption-driven logic of late capitalism and opens space for reflection, slowness, and heightened perception. My photographic work focuses on fragments of the built environment, particularly advertisements, signage, and residual human marks, reframing them through strategies of cropping, isolation, and recontextualization. These images question the distinction between original and reproduction, presence and absence, surface and depth. Drawing on thinkers such as Jonathan Crary, Luigi Ghirri, Siegfried Kracauer, and …

E Is For Ephemera, E Rady

Theses and Dissertations

E is for Ephemera contends with an artist's role as a performer - traversing questions of identity, documentation, temporality, authority, power relations and implication of the self in response to systemic forces. Here, performances are treated as zones in which simulated scenarios sometimes offer various potential opportunities to resolve.

Raised Spirits The Visceral Journey Of Black Generational Female Trauma And The Transcendent Healing Power Of Spiritual Dance, Wendy Ann Powell

Theses and Dissertations

Black female bodies have endured sustained trauma globally since the transatlantic slave trade, and it continues into 2025. The collective consciousness has carried the generational burden and mobilized it within the womb. Powell uses this intergenerational knowledge to frame the basis for spiritual dance practices as a healing praxis.

Apocalypse As Utopia: The Exorcisms And Memorials Of Las Yeguas Del Apocalipsis And Queer Liberation In Chile, 1987-1997, Nicolas Poblete

Theses and Dissertations

This thesis provides a comprehensive history of the queer activist-art collective Las Yeguas del Apocalipsis (1987-1997) and their performance-based resistance to the Chilean dictatorship (1973-1990), cultural homophobia, and the HIV/AIDS crisis. Through art actions blending ritual, protest, and queer poetics, the collective redefined public space and national identity, envisioning a utopian queer apocalypse rooted in memory.

One Can Only Dream, Sophia V. Yacca

Theses and Dissertations

One Can Only Dream is an interactive installation in which players are invited to navigate a liminal, dream-like game, engage with a branching series of questions, and introspect upon the relationships between unconscious expression, conscious self-perception, and the inherent difficulty of depicting, sharing, and understanding subconscious thought.

Rooted in both my personal experience with a rare neurophysiological condition and in my desire to create, this project examines dreams not only as a medical and cultural phenomenon, but also as a means to form identity, reflect trauma, and inspire creativity. Drawing from modern interactive storytelling and my lived experiences, this work …

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.

Louis-Léopold Boilly’S Toddler In Mamluk Costume, Circa 1803: Feminism And Orientalism In The Napoléonic Era, Jessie Polk

Theses and Dissertations

Privately held until it came into the Met collection, Toddler in Mamluk Costume by Louis-Léopold Boilly was not widely known and hasn’t been extensively studied. This thesis seeks place it in context and argues that it is likely a portrait of a girl, a niece of Napoléon I, Zénaïde Bonaparte.

The Dinner Table, Eric Juhola

Theses and Dissertations

The Dinner Table is a dual-projection installation exploring familial ritual, memory, and selfhood. Viewers sit at a circular table while projections unfold across the table and a suspended window, prompting reflection on how ritual functions as performance—and what remains of the self when those rituals fade or disappear.

Horse Boy, Madeline Dennis-Yates

Theses and Dissertations

Have you seen the new boy at the barn? Why does he get to ride Gemini? More importantly, why don’t Sarah and Ava get to? A bittersweet comedy about gender, class, and who’s jumping highest that asks: Who will love the horse girls if they lose each other?

House Meeting - A Play With Music, Levi J. Shrader

Theses and Dissertations

‘House Meeting’ Synopsis & Related Works

Levi J. Shrader

House Meeting

Brother Preacher’s been away on his mission to find a way to heal Little Brother’s deadfoot so he can walk again and live for the Lord. Family and neighbors gather for a Holiness house meeting to offer their thanks to God. When the cure seems to be deadlier than the affliction, Sister tries to remind them that, although this life is a suffering one, it isn’t worth destroying for a power God never intended for them.

Plays I believe House Meeting is in conversation with:

Beggars In the House …

All You Can Eat, Kelly Schiesswohl

Theses and Dissertations

All You Can Eat is a 2D-animated horror short following the patrons and inhabitants of a bakery as they prepare for its annual pie-eating contest. As the contest nears, tensions rise after the discovery of a dark secret amongst the staff inspires rebellion. Through the visual metaphor of pie and the pie-eating contest, this film explores how sexual violence functions on a systemic level. It explores our collective conditioning to a range of behaviors that contribute to patriarchal oppression and the social cycles that reinforce them across generations. Through design and surreal storytelling, this film captures the urgent threat of …

Body Of Light, Lucy C. Adams

Theses and Dissertations

Body of Light is a two channel video installation, incorporating a combination of archival material and present day footage to explore and speculate upon the traces of Audrey Munson’s life that remain, a ghostly presence creeping into our current world.

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 …

The Mindful Way: A Mindfulness Psychoeducational Group For Latinx College Students, Karen A. Morales

Theses and Dissertations

Researchers have extensively studied mindfulness as a promising intervention that can aid college students in managing stressors. Unfortunately, researchers have underrepresented minority populations like Latinx college students in mindfulness literature. The Mindful Way (TMW) is a culturally responsive psychoeducational group program that aims to close the gap in the literature. The pre-test and post-test of TMW program measures student’s tendency to practice mindfulness, their personal and academic resilience, degree of self-compassion, emotion regulation skills, problematic alcohol consumption, and symptoms of anxiety, depression and post-traumatic stress disorder, before and after participating in the program. The hypothesis of the present study is …

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 …

Evaluating Registered Dietitians Nutritionists' (Rdn) Knowledge, Attitudes, Behaviors And Practices Of Social Media Best Practices And The Role Of The Rdn Social Media Influencer, Ciera Burback

Theses and Dissertations

The growing use of social media has expanded the potential for RDNs to work with brands to promote products, as other health professionals have done for many years. However, scrutiny of the profession of nutrition and dietetics brought RDN influencers under fire due to disclosure practices and the perception of conflicts of interest in the social media sphere. This survey examined the knowledge, attitudes and behaviors of current RDNs and social media best practices. With 163 respondents over the age of 18 and currently an RDN, part one of the survey included demographic questions, multiple choice and Likert scale questions …

Analyzing The Effectiveness Of Maritime Policy For The Management Of Increasing Rates Of Vessel Traffic In The Bering Strait, Izabella Block

Theses and Dissertations

The Arctic is changing at a rapid pace, affecting virtually every aspect of life in the region, with major changes to sea ice, permafrost, and traditional lifestyles. These changes, in conjunction with globalization, have led to a rise in interest in the Arctic and accessing its resources. One considerable facet of accessing the Arctic is via maritime activity, with shorter transport times between Asia and Europe, fishing valuable stocks, and access to offshore oil and gas deposits. As countries such as Russia and China are intent on developing the Arctic and commercializing maritime trade routes, many living in the region …

Breast Cancer Survivors’ Readiness-To-Work Perceptions: A Pilot Study, Joy Darlene Cain

Theses and Dissertations

This pilot study explored the perceptions of women who have been diagnosed with breast cancer and struggles they experienced when returning to work or maintaining employment. It sought to understand the impact of cancer treatment on work demands and how or if that impacted the survivor’s perception of her employment status. This study found significant differences in the RTW perceptions for women with breast cancer in the areas of marital status, physical effort, work strategies, and work-related help. The most significant difference were the differences between women with partners and women without partners. Surprisingly, women without partners, while they do …

Joint Modelling Of Longitudinal Egfr Trajectory And Time To Acute Kidney Injury In Lung Transplant Patients, Samiha Zakir

Theses and Dissertations

Progressive declines in estimated glomerular filtration rate (eGFR) often precede acute kidney injury (AKI), yet the relationship between eGFR trends and AKI risk remains unclear. This study investigates longitudinal eGFR changes and their association with AKI in 459 lung transplant patients followed for up to 7 years (n = 6419). We applied a piecewise linear mixed-effects model to evaluate eGFR trajectories and a Cox proportional hazards model to assess time to AKI. A joint model was used to explore the interplay between longitudinal and survival processes. Key covariates included gender, age at transplantation, antibody-mediated rejection (AMR), and pre-transplant eGFR. Males …

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 …

Generalizable Skill Learning In Robotic Agents Using Transformer Models, Erik Enriquez

Theses and Dissertations

This work explores the application of Transformer models to robotic skill learning, aiming to enhance generalization across various physical tasks and environments with continuous control. Despite their success in other domains, our experiments reveal that the utility of Transformers in robotics heavily depends on pretraining strategies. Specifically, Transformers pretrained on reinforcement learning tasks generalized effectively, while those trained with task-agnostic masking strategies did not. These findings challenge assumptions about the universality of Transformer-based methods and underscore the importance of domain-aligned pretraining for developing versatile robotic agents.

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.

Carbon Dioxide, Methane, And Nitrous Oxide Fluxes From Managed Aquatic Systems Of The Rio Grande Valley, Siena Rose Stassi

Theses and Dissertations

Greenhouse gas (GHG) dynamics from small-scale inland water remain relatively understudied, with knowledge gaps across ecosystem types and regions. In South Texas, there is a unique system of managed distributaries and their associated ox-bow lakes, commonly known as resacas. Most resacas are artificially managed and considered novel ecosystems, yet their GHG dynamics are unknown. Two resaca systems were monitored throughout one year to understand the magnitude, temporal variation, and environmental drivers of diffusive fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), along with ebullitive CH4 emissions. Emissions of both CO2 and CH4 peaked in hot summer months, …

The Influence Of Solar Energy Infrastructure On Pollinators And Crops, Deisy Garcia

Theses and Dissertations

As the human population grows, demand for agriculture and renewable energy rises. Landuse competition is caused by the expansion of area-intensive solar photovoltaic (PV) facilities. While solar energy is crucial to mitigate climate change, it presents challenges related to land availability and effects on habitats for essential pollinators. In Chapter II, a spatial analysis was conducted to examine the relationship between solar panel density and pollinator diversity, exploring regions with the least interaction between these two factors. Our findings can inform solar siting and management strategies at landscape levels, in conjunction with field studies, that both mitigate potential interaction and …

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 …