Digital Commons Network^™

Ruthless: The Revolution Of Gangsta Rap, Laci D. Lavoy

Theses

The popularization of gangsta rap in the United States was pivotal to the advancement of Black America following the close of the Civil Rights Movement. The ruthlessness of gangsta rap created a distaste of authority that became a catalyst for Black American unity and change. Artists quickly started writing songs that spoke out against issues plaguing Black and poor Americans, realizing the power of the microphone and the radio. These rappers created an awareness for White audiences that had not been present before and even created a space for White artists with shared experiences. Female rappers took this activism a …

'In A Mirror, Dimly, Then Face To Face:' Reflecting On Bodily Sin And Spiritual Purity In The Central Female Figures Of Hugo Van Der Goes' Vienna Diptych, Sara Kluka

Theses

This thesis seeks to examine the so-called Vienna Diptych (1478/1479) by Hugo van der Goes. The two panels of the diptych have been displayed together since the 19th century, yet difficulties in provenance and the dating of the artist’s oeuvre have resulted in the continued questioning of its intended creation as a single campaign. This research seeks to assert the diptych’s thematic unity through a concentrated analysis of its leading female figures, a vantage point that has not yet been fully addressed in the literature. This paper will therefore examine the iconographic precedents for the unique imagery of the panels …

Ambiguous Bodies: Third Gender Expressions In Ancient Maya Art, Jayme Horne

Theses

This thesis examines the interpretations of Lintels 23, 24, and 25 from Yachilán, Drawing 18 from Naj Tunich, and Stela H from Copán, with a specific focus on third gender expression. These artworks depict figures that blend masculine and feminine attributes, from costuming to actions, to present intentionally ambiguous representations of the body that all ancient Maya people would have understood. Third gender expression is defined through the blending of masculine and feminine signifiers. It is a gender identity for people who do not identify as male or female, but rather as neither, both, or a combination of male and …

Draft Card Battler, Brian Moore

Theses

This project investigates how design transparency and player interaction mechanics can enhance emotional connection and strategic depth in competitive digital card game environments. Draft Card Battler transforms traditional sequential turn-based Trading Card Game (TCG) gameplay into a structured round-based system featuring asymmetric card-play patterns (1-2-2-1) and simultaneous combat resolution. Beginning with a physical card game prototype, the project evolved through iterative design and digital implementation, informed by research in social capital theory and player psychology. Through reflective playtesting and technical development, this study explores whether visibility, pacing, and commitment mechanics foster trust, fairness, and cooperation alongside competitive tension. The implementation …

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 …

Assessing Expected Cover Of Invasive Flora Species Near Corridor Features By Distance, Joshua G. Logan

Theses

Fragmentation of landscapes has been a growing topic of interest within scientific literature over the past several decades, as the way we as humans affect our planet becomes more apparent as the years go on. As humans, we have shaped the land and what it contains in immeasurable ways, erasing or forever altering entire natural ecosystems. Chief among the drivers altering these ecosystems is the fragmentation of landscapes, which can have all kinds of effects on natural ecosystems, from limiting nutrient transport to providing easier access for invasives to permeate throughout a landscape. Corridors are significant areas of interest regarding …

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 …

Solar Power Forecasting Using Deep Learning Techniques, Fatma Abdulrahman

Theses

The growing utilization of solar energy and other renewable energy sources has heightened the demand for a proper forecasting model that enables efficient control of the energy supply as well as grid reliability. In this work, we concentrate about the use of novel techniques in ML models, namely Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN), to try to forecast power output in a solar-powered plant using past weather and power output records. Production of solar energy is naturally volatile because it is dependent on the weather conditions and is problematic in nature when integrated into power grids. Conventional …

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 …

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 …

Impact Of Temperature On Larval Mortality And Performance Of The Acorn Barnacle Chthamalus Fissus In San Diego, Ca, Alberto Rivera

Theses

Rising ocean temperatures and increasingly frequent marine heatwaves threaten the physiological performance and survival of marine larvae. This study quantifies the thermal tolerance, respiration, and swimming behavior of Chthamalus fissus cyprid larvae to establish a baseline for understanding their vulnerability under future climate scenarios. Larvae were collected from the Scripps Pier in La Jolla, CA and exposed to a range of temperatures (12–50°C, dependent on the experiment) to assess oxygen consumption, mortality, and swimming speeds. Oxygen consumption rates increased significantly with temperature, peaking at 30°C, with cyprids exposed to temperatures above 26°C showing significantly higher respiration rates than those below …

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 …

Post-Traumatic Stress Disorder Symptom Scale And Coping Mechanisms Among Internally Displaced Persons Of Typhoon Yolanda, Christian Paul S. Biluan

Theses

The study aimed to determine the Post-Traumatic Stress Disorder Symptom Scale and the Coping Mechanisms utilized by the Internally Displaced Persons of Typhoon Yolanda. It sought to identify the profile, risk factors of the respondents, the Post-Traumatic Stress Disorder (PTSD) symptoms manifested and coping mechanisms utilized. The study also distinguished the differences in PTSD and Coping mechanisms when respondents are grouped according to their profile and death of family members and examined the relationship of PTSD and Coping. The study adopted the PTSD Symptom Scale and Brief COPE Inventory questionnaires and were consequently translated to Visayan-Waray. These were then pilot-tested …

Spectroscopy Pre-Trained Transformer (Specpt): A Universal Spectroscopic Analysis And Redshift Measurement Framework, Rohan Pattnaik

Theses

Spectroscopic surveys are essential for measuring galaxy redshifts and probing the physical processes driving galaxy evolution. As datasets grow in scale and complexity, traditional analysis methods face increasing limitations, motivating the development of scalable, data-driven alternatives. This thesis presents SpecPT, a transformer-based deep learning framework for general-purpose spectroscopic analysis, with a focus on redshift estimation. The model is first trained on DESI Early Data Release spectra from the Bright Galaxy and Emission Line Galaxy samples, jointly performing spectral reconstruction and redshift regression while learning a latent representation that captures the intrinsic properties of galaxies. SpecPT is then extended to a …

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 …

People’S Plate: The Recipe For Equitable Food Distribution, Bayleigh Nicole Thurston

Theses

Food insecurity remains a pressing issue in the United States that disproportionately affects vulnerable populations, leaving millions without access to nutritious meals. In 2023 alone, over 50 million people turned to food assistance programs for additional support1. While traditional nutrition programs like food banks and soup kitchens provide a vital service to many communities, they often lack the capacity to address the multifaceted nature of hunger. The social stigma and alienation associated with seeking food assistance become of little concern when organizations are grappling with daunting challenges of limited resources, logistical hurdles, and the need to provide quality, nutritious meals. …

Explorerit: An Interactive Timeline Of The History Of Rit, Melson Miranda

Theses

Rochester Institute of Technology (RIT) has a rich architectural and cultural history spanning over 57 years and the Henrietta Campus has more than 75 buildings, yet there is no central, engaging platform for exploring this heritage. This thesis, exploreRIT, addresses that gap by designing an interactive timeline that showcases the evolution of the campus through detailed building stories, architectural milestones, and contextual events. Using a Microsoft Surface Studio as a kiosk and a custom interface, the project integrates micro-interactions inspired by Apple’s Human Interface Guidelines, visual storytelling, and clear information architecture to create a tactile, accessible experience. Through iterative prototyping, …

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 …

Degradation Of Anthropogenic Debris In Stormwater Infrastructure Of The Lake Ontario Watershed, Evan Batte

Theses

The accumulation of anthropogenic debris (AD) in the Great Lakes is a growing issue with largely unknown consequences for ecological and human health. To better constrain estimates of debris loading into Lake Ontario and elucidate the fate of AD accumulating upstream, an incubation experiment of the most commonly identified littered products was conducted in different stormwater infrastructure within the Lake Ontario Watershed. Chip bags, cigarette filters, and shopping bags were placed into storm drains, stormwater retention ponds, and along riparian zones of tributaries in December of 2022 and July of 2023 to test the spatial (type of stormwater infrastructure [SWI]) …

Cognitive Reserve In The Deaf/Hard Of Hearing Community: An Exploration Of Contributing Factors, Olivia B. Allaby

Theses

Cognitive reserve (CR) refers to the individual differences in how people execute tasks, allowing some to cope with cognitive challenges more effectively than others. Additionally, previous studies have established a link between age-related hearing loss and cognitive decline. However, CR and cognitive aging have not been explored extensively in those who might identify as Deaf/hard of hearing (HH). There are four features potentially unique to this community that could shape one’s CR: use of hearing technology (e.g., hearing aid), bimodal bilingualism, and social connectedness and social support. One hundred fifty-nine Deaf/hard of hearing participants completed an online survey study assessing …