Digital Commons Network^™

Generation And Detection Of Photo-Thermal And Photo-Acoustic Waves In Solids For Advanced Near-Field Ir Imaging, Yide Zhang

Theses

Atomic force microscopy-infrared (AFM-IR) spectroscopy has become an essential tool for nanoscale chemical imaging, offering spatial resolution beyond the diffraction limit of conventional infrared spectroscopy. A typical AFM-IR setup directs a pulsed IR laser onto the sample, precisely at the tip of an AFM cantilever, detecting local absorption indirectly as photothermal expansion via the tip. This combination of AFM’s high spatial resolution and infrared spectroscopy’s chemical specificity enables detailed studies of a wide range of materials, from polymers and biological tissues to nanomaterials. However, the factors influencing AFM-IR signal generation and spatial resolution-especially in complex and inhomogeneous samples-remain challenging to …

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 …

Evaluation Of Existing Grazing Infrastructure And Development Of A Cost- Optimal Infrastructure Upgrade Methodology For Commercial Dairy Farms, Paul Maher

Theses

Grazing infrastructure is a critical component of pasture-based dairy systems, yet its performance on commercial Irish farms has not been fully quantified. This thesis aimed to: (1) assess current pasture allocation practices, (2) evaluate roadway network efficiency, (3) identify factors influencing herd movement and roadway suitability, and (4) explore cost-effective strategies to reduce labour input related to herd movement. Chapter 3 assessed pasture allocation frequency and the configuration of roadway networks across 135 commercial Irish dairy farms over the grazing season of 2020. Data were gathered from PastureBase Ireland and detailed maps of each farm. The distance between the milking …

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 …

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 …

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 …

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 …

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 …

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 …

'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 …

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. …

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 …

Eccentricity In Binary Black Hole Mergers, Katelyn J. Wagner

Theses

Recent studies have shown that orbital eccentricity may serve as an important indicator of dynamical assembly as a formation channel for binary black holes. In contrast to binaries that evolve in isolation and circularize through long-term gravitational radiation, dynamically assembled binaries, such as those formed through gravitational encounters in dense stellar environments, may retain measurable eccentricity up to the point of merger. Because eccentricity leaves a distinct imprint on gravitational-wave signals, it provides a powerful observational handle on the astrophysical origins of compact binaries. Detecting this signature requires sensitive and accurate modeling of gravitational-wave signals, particularly as binaries enter the …

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 …

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 …

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 …

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 …

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 …

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- …

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]) …

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 …