Digital Commons Network^™

Phenotypic, Genetic And Genomic Prediction Of Greenhouse Gas Emissions In Irish Cattle, Clodagh Ryan

Theses

Enteric methane is the largest source of agricultural greenhouse gas emissions in Ireland, accounting for 63% of the sector’s total. Achieving the legally binding target of a 25% reduction in agricultural emissions by 2030 requires low-cost, scalable mitigation strategies. Genetic selection offers a cumulative and permanent solution, with potential to reduce emissions without compromising productivity. This thesis aimed to quantify the genetic variability of methane and carbon dioxide emissions in growing beef cattle, investigate their relationships with economically important traits, and evaluate the feasibility of incorporating a methane trait into the Irish national beef breeding objective. Emissions data were collected …

Advanced Nanophotonics For Gas Spectroscopy, Ajmal Thottoli

Theses

This thesis introduces advanced nanophotonic integrated devices aimed at improving miniaturized, cost-effective multi-gas detection and on-chip spectroscopic systems. Traditional spectroscopic techniques often require bulky optical components and multiple detectors, limiting their scalability for multi-gas sensing. The proposed integrated duplexers and triplexers enable switching between lasers to detect multiple gases using a single system. The work focuses on the design and optimization of broadband angled multimode interference duplexers, directional coupler-based duplexers, and cascaded directional coupler-based triplexers for combining spectroscopically relevant wavelengths in the near-infrared region. The target gases include ammonia, methane, and carbon dioxide. Through comprehensive simulations and experimental investigations, the …

The Antimicrobial And Antibiofilm Effects Of Marine-Derived Crude Extracts, Monica Murphy

Theses

Marine-derived compounds are promising candidates in the search for new antimicrobials. This thesis explores their potential against a suite of clinically relevant bacterial strains. Saltwater environments were screened for antimicrobial compounds, leading to the identification of two lead bacterial strains, Bacillus subtilis_MTUA2 and Bacillus velezensis_MTUC2. Cell-free supernatant (CFS) of these strains significantly reduced the growth of MRSA and clinical S. aureus isolates (50%), inhibited biofilms by 99% and 90%, respectively, and reduced E. coli biofilms by 90%. To expand the scope of bioactive marine sources, crude extracts from two seaweeds, Codium fragile and Fucus vesiculosus, obtained using methanol and water …

Co-Designing Work-Integrated Learning At The Phd Level, Kristin Bracewell

Theses

This study seeks to understand work-integrated learning (WIL) at the Doctor of Philosophy (PhD) level in Ireland through an exploration of the opinions and experiences of the three primary stakeholders to WIL, students, academic supervisors, and potential host organisations or employers. The research utilises the experiences and opinions of the key stakeholders in WIL and centres the student voice. Empirical evidence is used to challenge the assumption that WIL is a wholly positive inclusion and, instead, consider both its benefits and drawbacks. The study takes a pragmatic approach and considers how WIL at the PhD level can be optimised to …

A Framework For Adaptive Ride-Sharing And Management Of Electric Vehicles, Avinash Nagarajan

Theses

Europe aims for carbon neutrality by 2050, with transportation currently amount- ing 20% of its total emissions. Motivated by the sustained mass transition to Autonomous Electric Vehicles (AEVs) and by the distributed energy generation and storage of local Smart Energy Communities (SECs), this thesis presents the design, implementation and evaluation of a carbon-neutral, community-based, scalable ride-sharing service. Its models formalise the partition of an AEVs fleet over the SECs of a city, as well as the allocation of trip petitions (TPs) to AEVs, their routing and charging scheduling over a simulated time horizon. These models integrate energy generation, allocation and …

Functional Foods For Older Adults: Comparing The Bioactive Properties Of Cheese To Identify Products That Promote Healthy Ageing, Aimee Plante

Theses

Functional foods for the elderly: comparing the bioactive properties of cheese to identify products that promote healthy ageing.

People are living longer, and a healthy ageing population is a key goal of our National Positive Ageing Strategy. One approach to support this initiative is to promote and develop functional foods that can support healthy ageing by reducing age-related conditions, including cardiovascular disease, diabetes, obesity and cancer. Cheese particularly aged and fermented varieties like cheddar show great potential as a functional food with inherent and established health properties. It naturally contains bioactive peptides, vitamins, minerals, protein and possible cultures that confer …

Addressing Training Challenges Of Generative Adversarial Networks For Biomedical Image Synthesis, Muhammad Muneeb Saad

Theses

Artificial intelligence (AI) plays a pivotal role in computer-aided diagnosis. In image-based diagnosis, AI systems rely on biomedical images containing sensitive disease-oriented information. AI systems utilize machine learning models to automate this diagnosis. Machine learning models such as deep neural networks require large training datasets to enhance the diagnostic precision of these models. Models can underperform when they are trained on imbalanced datasets. Imbalance in datasets refers to the skewed numbers of images per image class. There is a need to enhance the training of these models via data augmentation. In the context of biomedical imagery, where acquiring large, balanced …

Bioinformatic Analysis Of Pogz Variants In Relation To White Sutton Syndrome, Hannah Rollins

Theses

White-Sutton syndrome (WHSUS) is a rare neurodevelopmental disorder caused by mutations in the Pogo Transposable Element with ZNF Domain (POGZ) gene, which encodes pogo-transposable element with ZNF domain, a chromatin regulator essential for proper mitotic progression and DNA repair. This study uses a bioinformatic framework to evaluate the structural and functional impact of missense mutations in the conserved amino acid region (positions 500–800) of the POGZ protein. Protein modeling, variant effect prediction, conservation analysis, and molecular dynamics simulations were employed to gain an understanding of the effects of POGZ missense mutations on protein structure and movement with specific emphasis on …

Targeting Ribosome Biogenesis In Cic-Dux4 Sarcoma Treatment By Using Rna Polymerase 1 Inhibitors, Hema Sri Kambala

Theses

CIC-DUX4 sarcoma (CDS) is a rare, aggressive round-cell tumor that primarily affects children and young adults and is associated with poor clinical outcomes. Current treatments borrow from Ewing sarcoma regimens but offer limited benefit, underscoring the need for targeted therapeutic strategies. Transcriptomic analysis of CDS cell lines revealed a striking overrepresentation of ribosome biogenesis genes, indicating that CDS relies heavily on hyperactive RNA Polymerase I (Pol I)–driven rRNA synthesis. To evaluate this vulnerability, the Pol I inhibitors CX-5461 and BMH-21 were tested across multiple functional assays, including rRNA transcription, proliferation, migration, and 3-dimensional spheroid growth. Both inhibitors reduced rRNA synthesis …

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 …

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 …

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. …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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, …

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 …

Nestview-Transforming House Hunting With Ar, Chia-An Lee

Theses

NestView is an augmented reality (AR) based smart glasses system which aims to facilitate the process of finding rental homes for people. Conventional rental websites bombard users with two-dimensional data and have no sense of place, which is why they're both time-consuming and mentally taxing. NestView gives the user real-time mobile listings displayed in AR right in their physical space, providing an immersive, contextually aware rental experience. Informed by a user-centered design methodology, this study examines what frustrations the renters experience, and in what ways AR applications can meet those frustrations. The system comes with proximity-driven filtering, voice interactions, an …

Enhancing Adversarial Robustness In Convolutional Neural Networks By Integrating Human Viewing Strategies, Diana Velychko

Theses

Adversarial examples pose a serious threat to the reliability of deep neural networks by subtly manipulating inputs to induce incorrect outputs. Despite progress in the field, convolutional neural networks (CNNs) remain vulnerable to such perturbations. This research proposes a novel approach to improve adversarial robustness of CNNs by incorporating human viewing behavior into both training and testing processes. To establish a baseline for comparison with models trained from scratch, an eye-tracking dataset—collected during experiments involving novel objects from the Greeble dataset—was used to capture how humans learn to classify previously unseen object categories. This study compares model saliency with human …

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 …

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 …