Digital Commons Network^™

The Mystical Kitchen: Feminist Magic And Alchemical Transformation In The Work Of Lenora Carrington, Theresa Burwell

Theses

This thesis analyzes the inherent feminism in alchemical and magical symbolism, particularly in representations of kitchens in the art and writing of Leonora Carrington. The kitchen has historically been viewed as a gendered space for domestic work. By subverting cultural and religious conventions, Carrington’s kitchen becomes a site for transmutation and feminine ritual. Using feminist discourse, formal art historical analysis, and the history of alchemical symbolism, this thesis asserts that Carrington’s imagery transforms the kitchen from an oppressive domestic space to a mystical laboratory of feminine power. A thorough analysis of Grandmother Moorhead’s Aromatic Kitchen (1975) and The House Opposite …

Immersive Art, Nature, And Afrofuturism: Cultivating Wellness And Cultural Awareness, Jojo Abenaavi Wright

Theses

This research demonstrates how Afrofuturistic art, combined with nature and scent, enables powerful methods to transform African Diaspora perceptions and support holistic wellness through sensory-emotional engagement. The project introduces The Next Narrative: An Immersive Journey Through Black Time as a multisensory immersive exhibition that combines Afrofuturistic aesthetics with Harlem Renaissance cultural elements. The exhibition presents salons as a sequence that allows visitors to experience time through visual, sonic, and atmospheric transitions. The three senses of touch, scent, and sound operate as fundamental tools for grounding and transformation, which disable analytical thinking while using bodily experiences to perform decolonial memory work. …

Population Genomics And Status Of The Flattened Musk Turtle (Sternotherus Depressus) In The Locust Fork Of The Black Warrior River, Seamus C. O'Brien

Theses

Alabama is home to some of the highest freshwater endemism in the world and ranks near the top in numbers of endangered and extinct species. One of these endangered species is the Flattened Musk Turtle (FMT), only found in the Black Warrior River Drainage of Alabama above the Fall Line. The FMT is listed as “Threatened” by the United State Fish and Wildlife Service under the Endangered Species Act and is considered Critically Endangered by the International Union for the Conservation of Nature due to drastic declines in populations since the 1980s. Declines have been attributed to several factors, including …

In The Hull Of The Uss Disregard: An Analysis Of Secretary Of State Cordell Hull’S Execution Of Foreign Policy In East Asia And The Precipitation Of Armed Conflict Between Japan And The United States, Eric B. Hawkins

Theses

The political career of Cordell Hull was motivated primarily by trade policy and the courting of Central America through the negotiation of reciprocal trade treaties that helped stabilize, for the most part, the entire Western Hemisphere. He was an obvious choice for Roosevelt’s cabinet to address economic instability. But why was he chosen for Secretary of State? The Open Door Policy, adopted by many Western nations in East Asia during the early 20th century, was a petri dish primed for the growth of political strife and international conflict. With the warnings from Hull’s predecessor, Henry Stimson, placed on the back …

Adaptive Security Metric For Optimizing Post-Quantum Cryptography In Constrained Iot Devices, Aisha Nasser Ahmed

Theses

Quantum Computing poses real threat to Classical Public-Key Cryptography requiring the use of Post-Quantum Cryptography for all Internet of Things Devices. However, there are greater computational, memory and communication overheads in PQC algorithms that create additional burdens on resource constrained IoT devices. At this time, there are no standard measures for systems developers to determine optimal PQC settings for the various IoT Device Classes. This Thesis develops a new framework of metrics for determining the most suitable PQC settings based on Security Strength, Performance Indicators (Latency, Memory, Energy), Communication Overhead and Reliability for each IoT device class. The Research introduces …

Physicochemical And Structural Optimization Of Date (Phoenix Dactylifera L.) Syrup: Impact Of Extraction Temperatures And Pectin Addition, Afna Thaivalappil Abdul Asiz

Theses

This thesis focuses on the optimization of date (Phoenix dactylifera L.) syrup, an emerging natural sweetener rich in glucose, fructose, and bioactive compounds, by investigating how extraction temperature and pectin incorporation influence its physicochemical and structural properties. Therefore, the main objective of this study was to examine how extraction temperatures (25°C, 50°C, 75°C, and 90°C), and the incorporation of lowmethoxyl pectin (LMP, DE 31%) and high-methoxyl pectin (HMP, DE 85%) prior to concentration, affect the quality, stability, and functionality of date syrup. The results showed that increasing extraction temperatures increased the total soluble solids (16 °Brix at 25°C to …

Enhancing Llm Code Generation: A Systematic Evaluation Of Multi-Agent Collaboration And Runtime Debugging For Improving Accuracy, Reliability, And Latency, Nazmus Ashrafi

Theses

The use of large language models (LLMs) for automated code generation has emerged as a significant focus within AI research. As these pretrained models continue to evolve, their ability to understand and generate complex code structures has opened up new possibilities for automating intricate programming tasks with greater accuracy. Although contemporary foundational models demonstrate promising results, researchers continue to explore optimal post-training strategies to enhance code quality. These include supervised fine-tuning, retrieval-augmented generation (RAG), debugging, and many others. In this thesis, I combine two such widely used post training approaches—namely (1) multi agent collaboration and (2) runtime execution of information-based …

Making Math Accessible: Addressing Language Challenges In 3rd Grade English Medium Math Classrooms, Salha Mohamad

Theses

The research article, Making Math Accessible: Addressing Language Difficulties in 3^rd Grade English Medium Math Classrooms, addresses the issue of how the teachers in UAE elementary schools assist a student who is to study mathematics in English rather than Arabic. In the School X, Grades 1 and 2 applied mathematics and science using the Ministry of Education (MOE) Arabic-medium curriculum. Since Grade 3, however, the school has used the American curriculum, so students are expected to study these subjects in English. This change brings major barriers in understanding basic mathematical terms, word problems, and instructions. The research applies …

أحكام المسؤولية الجنائية وأجهزة الذكاء الاصطناعي, Fatmah Ali Al Dhanhani

Theses

The Criminal Liability Provisions of Artificial Intelligence (AI) Actions

This study aims to define the concept and levels of artificial intelligence (AI) to understand its legal nature, personality, and impact on criminal liability. It analyzes the current legal frameworks and examines existing legislation related to AI, assessing their ability to address issues concerning criminal responsibility for the actions of these systems. The study begins by defining the precise concept of criminal liability to understand how it can be applied in a technological environment. It then defines AI and explores its legal nature, to analyze current frameworks and how effectively they …

Improving The Accessibility Of Speech For Deaf And Hard-Of-Hearing Individuals Through Affective Captions, Caluã De Lacerda Pataca

Theses

Captions have traditionally served as a bridge between the spoken word and its written representation, helping make speech accessible to Deaf and Hard-of-Hearing (DHH) individuals. It is worth considering, however, how much from speech is left out by this ’bridging’ between sound and visuals. This dissertation describes a research project that has, over six studies, looked at this very issue. We first examined whether there is an issue here at all. What does the experience of DHH individuals with captioning systems tell us about these systems’ shortcomings? For one, we found, captions are felt as monotonous and ambiguous. While communication …

Illustrations For A Scientific Review Article Publication : Human Stem Cell-Derived Organoids, Sunghwan Bae

Theses

This thesis explores the role of scientific illustration in improving the comprehension of complex scientific concepts. It traces the historical development of illustrations in scientific literature and examines their functions in both research and review articles. The central contribution of this work is the development of twelve vector-based illustrations that elucidate the applications of human organoids within a review article context. These visuals transform intricate ideas into clear, engaging representations, supported by extensive research and verification to maintain scientific accuracy. The thesis concludes by addressing the future of scientific illustration, advocating for reader-oriented design approaches and the use of innovative …

Intelligent Monitoring And Alerting System Using Some Deep Learning Models, Omar Alshamsi

Theses

Road traffic crashes cause over 1.19 million fatalities per year worldwide and represent a major challenge for urban safety (World Health Organization, 2023; World Bank Group & WRI India, 2020). Smart city initiatives aim to use technology to reduce such losses through rapid accident detection and response (Arefin et al., 2025). This proposal outlines a vision for a Road Accident Detection and Response System that employs computer vision and deep learning to identify accidents from video feeds and immediately notify emergency services. The core of the system will be a custom-trained YOLOv8 object detection model, leveraging a dataset of annotated …

Democratizing Community Discourse Analysis In Computational Social Science, Md Towhidul Absar Chowdhury

Theses

Community resource inequities and undetected infrastructure vulnerabilities cost municipalities billions annually, with disproportionate impacts on marginalized communities. Current computational approaches to community needs assessment suffer from two critical limitations: they rely on aggregate-level analysis that obscures granular community expressions, and they implement sophisticated computational tools that remain inaccessible to stakeholders without technical expertise. This creates what we term the Community-Computational Gap—a persistent divide where domain experts with vital contextual knowledge cannot access the analytical tools they need, while computational experts develop models without sufficient community context. This dissertation addresses these challenges through a novel methodological framework for fine-grained utterance-level classification …

The Missing Link: Gingos, Ingos, And The Fractured Promise Of Localization, Stella D. Bosch

Theses

This thesis examines collaboration gaps between international nongovernmental organizations (INGOs) and grassroots international nongovernmental organizations (GINGOs) in the localization agenda. While humanitarian and development work are often viewed separately, many organizations operate across both areas, shifting between emergency response and long-term engagement. For this research, “localization” refers to efforts aimed at addressing power imbalances and improving collaboration with local actors, especially in small island nations where vulnerabilities and capacities intersect. The study began as a comparative case design across Cabo Verde, Vanuatu, and Comoros but shifted to an explanatory approach after data constraints redirected the scope. Madagascar was added to …

Characterizing Fish Communities Using Traditional And Emerging Monitoring Approaches In San Diego County Estuaries, Natalie Katherine De Wet

Theses

Fish communities are essential to estuarine health, playing key roles in food webs, nutrient cycling, and ecosystem functioning. However, the persistence of native fish populations is increasingly threatened by the cumulative impacts of coastal development, pollution, and climate change. Rapid, effective monitoring of species distributions is a priority, enabling timely conservation and management. However, the study of any ecosystem is limited by time, resources, and the consideration that research of a system can damage the ecosystem under study.

This research aimed to characterize fish species richness and evaluate the benefits and limitations of different estuary monitoring approaches. Specifically, this study …

Enhance Telecom-Related International Indicators Using Machine Learning, Omar Alnemer

Theses

This thesis investigates the enhancement of the Network Readiness Index (NRI) through the application of machine learning methodologies to refine indicator weighting, clustering, and dimensionality. The study builds on research promoting data-driven methods to address the limitations of equal-weighted indices in capturing indicator importance and interdependence. The research aims to evaluate how unsupervised and supervised learning methods can optimize the interpretation of NRI data. The study focuses on three primary research questions: (1) How can PCA be used to reduce the dimensionality of the NRI without significant loss of information? (2) Can k-means clustering reveal meaningful groups of countries with …

Advancing Institutional Sustainability Through Green Roofs: Performance-Based Policy For Rit, Theoren Heilman

Theses

Utilization of green roof systems continues growth as a sustainable architectural strategy, offering enhancements to key building performance metrics while contributing to overall community resilience. The ability of green roofs to deliver a wide range of performance benefits, even in environments with harsh climatic conditions, positions them as an asset for advancing sustainable development. Within this context, university campuses represent an underutilized, yet important, setting for green roof adoption. Functioning much like small cities, campuses contain diverse building types and extensive infrastructure networks, which draw significant energy demands, positioning them to lead in sustainable building practices. Yet, most lack rigorous, …

A Morpho-Kinematic Model Of Molecular Line Emission In Planetary Nebulae, Diana E. Ryder

Theses

Planetary nebulae (PNe), the late-stage remnants of low- to intermediate-mass stars, offer valuable insights into the final phases of stellar evolution and the enrichment of the interstellar medium via intermediate-mass star ejecta. Molecular emission from these objects serves as a powerful diagnostic for probing physical conditions, chemical composition, and kinematics of these ejecta. In this thesis, we describe the flexible, modular modeling framework we are developing to analyze high spatial and spectral resolution molecular emission-line data for planetary nebulae, as obtained by modern mm-wave interferometers such as the Submillimeter Array (SMA) and the Atacama Large Millimeter/submillimeter Array (ALMA). The Python- …

Relativistic Gas Accretion Onto Supermassive Black Hole Binaries From Inspiral Through Merger, Lorenzo Ennoggi

Theses

Accreting supermassive black hole binaries are powerful multimessenger sources emitting both gravitational and electromagnetic (EM) radiation. Understanding the accretion dynamics of these systems and predicting their distinctive EM signals is crucial to informing and guiding upcoming efforts aimed at detecting gravitational waves produced by these binaries. To this end, accurate numerical modeling is required to describe both the spacetime and the magnetized gas around the black holes. In this work, we present two key advances in this field of research. First, we have developed a novel 3D general relativistic magnetohydrodynamics (GRMHD) framework that combines multiple numerical codes to simulate the …

From Sim To 6dof: Deep Learning For Real-Time Satellite Pose Estimation From Resolved Ground-Based Imagery, Thomas W.N. Dickinson

Theses

This dissertation presents the first practical system for automated six degrees of freedom (6DOF) satellite pose estimation from resolved ground-based adaptive optics (AO) imagery. Addressing a key challenge in Space Domain Awareness (SDA), the proposed approach eliminates the need for human labeling by directly regressing satellite orientation and position from blurry, noisy, and deeply-shadowed imagery. The architecture consists of a multi-stage deep neural network pipeline that localizes the satellite, predicts pose, and optionally smooths predictions over time. Networks are trained exclusively on fully synthetic imagery generated from a 3D CAD model. Despite this, the model generalizes effectively, bridging the Sim2Real …

Transparent Display Design For Vending Machines, Quincey Williams

Theses

This thesis explores the innovative application of transparent display technology in vending machines, addressing the limitations of traditional vending interfaces in consumer engagement. By integrating comic book and manga-inspired aesthetics with cyberpunk visual effects, the project transforms vending machines into dynamic, interactive canvases. These designs incorporate transparent overlays, comic panel UI layouts, and glitch-inspired animations to enhance user interaction and visibility of products. This thesis critically evaluates the design process, methodologies, and outcomes while highlighting research findings that inform the integration of emerging display technologies with bold visual storytelling. The final solution presents a seamless fusion of futuristic visual elements …

Amorphous Oxide Semiconductor Materials And Devices For Monolithic And Heterogeneous Integration, Eli P. Powell

Theses

The expanding consumer electronics industry has spurred significant advancements in display technology. Thin-Film Transistors (TFTs) serve as active matrix switching components in LCD and OLED panels. Amorphous metal-oxide semiconductors (AOS) support large-area deposition at low temperatures and boasts an electron mobility many times greater than that of amorphous silicon. This work presents a comprehensive study on AOS materials and devices for their introduction to display, monolithic integration, and heterogeneous integration applications. Key studies have focused on advancing the state of (Indium Gallium Zinc Oxide) IGZO TFTs by addressing challenges in device uniformity, reliability, and modeling. Device uniformity was improved by …

The Case For Mass Media Communication Theories In The Study Of Artificial Intelligence: A Uses And Gratifications & Parasocial Interaction Theory Approach, Colin Farmer

Theses

This study analyzes communication and relationship building between textual generative Artificial Intelligence programs and their users through the lens of parasocial interactions and uses and gratifications. It measures loneliness, knowledge gaining, and task completion as the primary reasons motivating perceived relationship development with AI applications. Through a quantitative survey, it explores the connections between time spent using AI, as well as the previously mentioned factors and seeks to determine what influences a user’s perceived relationship with an AI chatbot program. Comparisons are also drawn between the relationships with AI and the user’s relationships with celebrities, further expanding the justification for …

Analyzing Heat Transfer Mechanisms In Tapered Microgaps And Film Boiling With Computational Modeling Incorporating Nucleation Sites And Subcooled Fluids, Divyprakash Pal

Theses

Applications such as nuclear reactors, data centers, and microelectronics require an understanding of the hydrodynamic and thermal behavior of liquid and vapor phases on heated surfaces. Phase change and interfacial dynamics enhance heat transfer in evaporation and condensation systems. This study simulates film evaporation, subcooled nucleate boiling, and confined boiling in tapered microgaps using customized Ansys Fluent with user-defined functions (UDFs) for sharp interface tracking and temperature-gradient-driven mass transfer. In film evaporation, the peak local heat transfer coefficient (HTC) reached 2170 W/(m²·K) at 0.5 mm film thickness. The maximum Nusselt number was 5.69 at 0.5 mm and the minimum was …

Dyadic And Multiparty Turn-Taking In Two Deaf Preschool Classrooms, Savannah Tellander

Theses

Conversational turn-taking skills are needed to succeed in most conversational interactions. Timing of turn-taking is crucial for young deaf signers, who need early, accessible, and consistent input in a signed and/or spoken language. For deaf children who acquire a language in either modality, they must acquire appropriate turn-taking skills. Without these abilities, children may miss critical language input, and in a cascading effect–they may miss opportunities both for input (and thus new knowledge) and expressive language. In addition to documenting deaf children’s turn-taking skills across development, it is important to also document timing data for further understanding of cognitive language …

Design That Builds Communitites: An Evaluation Method For Analyzing, Assessing, And Improving The Way We Plan And Design The Places Around Us, Devine Karas-Gonzalez

Theses

The places around us shape and impact on the way we interact and live within our communities. As such, it is important to place greater emphasis on designing spaces which are meant to better respond to the needs and functions of a place. With an architectural design process this will result in the use of design strategies which will inform much of the design. In this research, multiple design strategies (Smart Growth, Placemaking, Place Value, and Street Experiments) are evaluated and compared using four regionally similar cities to analyze and assess how the different strategies impact the design process by …

Predicting Hollywood Movie Success Using Predictive Machine Learning Algorithms, Saeed Alghabshi Hathboor

Theses

The Decision Trees are always simple to understand and interpret techniques, a single tree may not be enough for the model to learn the characteristics from. In this IMDb movie review prediction problem, evading all other simple mechanisms, the Random Forest, on the other hand, is a "Tree"-based algorithm that makes judgments by combining the attributes of numerous Decision Trees is used. The primary goal of this work is to evaluate the predictive performance of a random forest model with various parameters used for forecasting numerical user ratings of a movie based on pre-release data such as actors, directors, profit, …

The Petrological And Geochemical Analysis Of The Grant Intrusive Breccia And Vaughn Intrusive Within Hicks Dome, Hardin County, Illinois, Aaron Michael Beirl

Theses

Hicks Dome is a crypto-volcanic feature found in the southeastern corner of Hardin County, Illinois. The dome formed around 270 Ma (late Permian), as part of the Permian Wauboukigou Igneous Province (PWIP), through a series of explosive igneous intrusions that caused uplift and clear structural deformation to the area. There was not enough magma feeding the intrusions to breach the surface, but due to the unique geochemistries of the magma(s), these intrusions formed amalgamations of alkaline, carbonatitic, and ultramafic gabbros. The overall geochemistry of these intrusions have high amounts of iron (Fe) and calcium (Ca), with relatively low amounts of …

Digital Biophilia In Web Interface Design For Accessibility And User Well-Being, Bryana Michelle Peifer

Theses

This interdisciplinary study explores the intersection between horticultural therapy and web design, focusing on the impact of biophilic design principles in shaping contemporary practices within digital interface design. This exploration addresses the multifaceted relationship between humanity and the natural world, particularly how this connection serves as a source for the emergence of nature-inspired elements in digital expressions and their subsequent integration into modern web design for accessibility and well-being. As digital environments increasingly dominate daily experiences, the need for digital wellness through nature integration has become critical, especially for individuals who have physical disabilities, limited mobility, or limited access to …

Engineering Tunable Collagen Fiber Alignment Gradients To Quantify Contact Guidance Effects On Cell Migration, Indranil Mandar Joshi

Theses

Directional migration of cells is one of the most important physiological processes, necessary for tissue and organ development. It also plays a crucial role in pathological conditions such as cancer metastasis. This directed migration is influenced by various factors present in the native environment, which guide cells to migrate steadily in a specific direction. Due to its importance, over the years, a lot of emphasis has been placed on understanding and exploring the biochemical and biophysical factors that direct cell migration. In addition to the commonly studied biochemical and biophysical cues, contact guidance from collagen fibers, in the native matrix, …