Digital Commons Network^™

Visual Structure, Cultural Memory, And Viewership In Early Medieval Irish High Crosses, Trinity Smith

Theses

This thesis examines how Irish high crosses functioned as structured visual forms through which religious authority and cultural memory were communicated within early medieval Ireland. Previous scholarship has emphasized the theological coherence of these monuments, often assuming a single idealized viewer. This study reconsiders Irish high crosses through the concept of multiple viewership by examining how different audiences may have encountered and understood these monuments. Using comparative visual and contextual analysis, this study examines four case studies: the Cross of the Scriptures at Clonmacnoise, Muiredach’s Cross at Monasterboice, the High Cross of Durrow, and the Market Cross at Kells. This …

Choice-Based Artmaking And Critical Pedagogy Through Art As Activism: A Classroom Case Study And Teaching Framework, Emma Klindworth

Theses

This practice-based graduate project examines how choice-based artmaking in a student-centered art classroom can foster critical thinking, reflection, and engagement with contemporary social, political, and cultural topics through art education. Built upon literature on critical pedagogy, student-centered art education, and creative problem-solving, this project combines a pilot lesson, “Art as Activism”, with a qualitative case study. By analyzing student reflections, this project examines how revisions, informed by those findings, demonstrate the ways student choice and student connection to subject matter influence engagement and critical thinking.

The findings of the case study following the “Art as Activism” pilot lesson, suggest choice-based …

The Significance Of Abstract Art In Self-Expression: A Study Developed By Analyzing Kandinsky's Black Lines And Producing Visual Juxtapositions, Keturah K. Bowles

Theses

This paper will contemplate how the creation of abstract art, a creative style born from the Avant-Garde movement of the 20th century by artists such as Wassily Kandinsky, was imperative in the pursuit of artistic freedom. Additionally, it will seek to prove that abstraction is one of the unparalleled genres to utilize for self-expression in comparison to genres that uphold traditional art techniques, such as realism. This theory is further emphasized when considering abstract art in juxtaposition to the art standards maintained by the academy. Moreover, the research conducted to support the proposed theory falls into various categories, such as …

Beyond Affection Meters: A Framework For Relationship Repair Mechanics And Meaningful Play, Christopher B. Del Gesso

Theses

This thesis develops and tests a repair-centered framework for relationship mechanics in narrative games, positioned as an alternative to the affection-meter model that reduces relationships to a single accumulating score. Drawing on eudaimonic media research, relational repair theory, and interpretive-attribution research, the framework argues that meaningful relationship play depends on tracking multiple, potentially divergent relational dimensions; distinguishing repair attempts from repair outcomes; modeling interpretation of player actions rather than fixed action-to-effect mappings; and treating stable, non-restorative endings as legitimate outcomes rather than failure states. A comparative survey of five commercial games, Fallout 4, Tell Me Why, Life is Strange Remastered, …

Web Of Sisterhood: Somehow Connected, Catherine Scott

Theses

This thesis project is about the connection between female community (sisterhood) and art-making practices. This connection is explored through qualitative research, including research in art history, feminism, community interviews, and personal experience. The connection between sisterhood and art-making is expressed through the construction and development, as well as the visual elements, in the final project. Communication and collaboration with women in my community about the artwork and our connections as women shaped how the work would be constructed, as well as the imagery and colors used in the final piece.

Lab Escape, Peter Brauninger

Theses

The core subject of this paper focuses on several key traits of effective horror games. Using a paper and prototype level, the project conducts a thorough examination of horror in the medium to better understand how to develop effective games in this genre. Looking at examples from different media, the objective of this research is to identify key components of effective horror games. Going through the research, we can identify three key traits that are critical to the genre. Within horror games, accuracy of these elements is even more essential. Having the player be constantly tense, and enjoying the game …

Seeing Power: Authority, Gender, And Spectatorship In Charles I And Henrietta Marie With Their Two Eldest Children, Prince Charles And Princess Mary (1632), Danielle Scaramuzzi

Theses

The visual construction, enactment, and legitimization of political authority is the subject of this thesis concerning Charles I and Henrietta Maria with their two eldest children, Prince Charles and Princess Mary (1632), painted by Anthony Van Dyck. Through examination of sovereign representation, gendered body, dynastic continuity, and spectators, this research argues that authority within Northern Baroque portraiture is not established as a single or unchanging entity. However, instead of a monolithic representation of authority, it arises from relational elements, including body language, gesture, space, family relations, and viewer engagement. Although Van Dyck's portrait is generally considered a dynastic image in …

Meridian, Rachel Seaton

Theses

Meridian is an ambient tabletop object that translates physiological data into a continuously evolving visual landscape. Rather than presenting emotional information through charts or notifications, it exists as a quiet environmental presence that can be understood through peripheral awareness. A simulated biometric system drives a particle field whose movement reflects physiological variation, producing eight distinct visual signatures. The visual system is governed by four parameters: field density, field disturbance, signal trace, and signal duration, which together shape the behavior and persistence of the particle field. The teardrop form was selected for its ability to convey both the passage of time …

Prototyping Of A Spectropolarimetry Module For Lenslet-Based Integral Field Spectrographs, Manasa Lakshmi Narasimhan

Theses

Integral-field spectropolarimetry enables simultaneous spatial, spectral, and polarization measurements. Observations of polarized light allow researchers to map magnetic fields, distinguish scattering from intrinsic emission, and characterize the geometry of sources illuminating the large-scale dust distribution within and around galaxies. In tandem with spectral information, polarized emission can be used to detail the kinematics of dust expelled from galaxies and to probe the underlying spectrum of scattered light—measurements that help constrain key open questions such as the missing baryon problem and the role of feedback in galaxy evolution. However, spectropolarimetry is a rare capability among ground-based observatories. This thesis showcases a …

Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam

Theses

Cyber Threat Intelligence (CTI) helps security analysts respond to evolving threats, but the evidence it draws on is often scattered across noisy reports, advisories, and threat descriptions. Large language models (LLMs) provide a flexible interface for security analysis, yet reliable use requires grounding their outputs in source evidence, domain schemas, and CTI standards. We address this problem through structured threat representation, task-specific evaluation, and verifier-guided post-training. First, we study how unstructured CTI reports can be converted into structured threat knowledge. We develop an ontology-guided extraction framework that normalizes attack patterns, extracts typed entities and relations, and constructs a threat intelligence …

Modernizing Civic Building Design For Emergency Shelter Operations: An Architectural Framework With Proposed Design Guidelines For 21st-Century Shelter Readiness, Enrique M. Peralta

Theses

The frequency and severity of climate-related disasters are rising globally, resulting in the displacement of millions of individuals each year. Although this is a worldwide issue, the present research concentrates on the New York, New Jersey, and Connecticut tri-state region, where severe storms, flooding, prolonged power outages, and other natural hazards frequently necessitate the activation of emergency shelters. While schools, community centers, and other civic buildings are commonly designated for emergency shelter operations, these facilities were not originally designed to accommodate displaced groups during such events. This study focuses on the immediate sheltering period following a disaster, defined as the …

Evaluation Of Laser Power, Heat Treatment, And Wall Configuration Of Ss316l And Er70s-6 Structures Fabricated By Wire Laser Metal Deposition, Ayman Abdelgwwad

Theses

Wire-Laser Metal Deposition (W-LMD) is a transformative direct energy deposition additive manufacturing technology that utilizes a laser heat source to melt metallic wire feedstock for the high-efficiency fabrication of large-scale, near-net-shape components. The technology is distinguished by its high material utilization efficiency and superior safety compared to metal powder-based systems. W-LMD systems are composed of a focused laser, a wire feeder mechanism, a multi-degree of freedom motion system, cooling system, and a shielding gas supply to prevent oxidation. Deviation in process parameters can lead to external defects such as stubbing (insufficient melting) and dripping (melting above the melt pool), as …

Exergy Analyses Of Potential Clean Hydrogen Technologies In The Uae, Gaurav Cjk Kewalramani

Theses

This thesis evaluates clean hydrogen production pathways suitable for the United Arab Emirates by  integrating nuclear, solar, and wind energy with proton exchange membrane electrolysis (PEM), anion  exchange membrane electrolysis with a liquid alkaline separator (AEM), and alkaline water electrolysis  (AWE). A literature review was first conducted to compare hydrogen production technologies based on  efficiency, cost, scalability, environmental performance, and compatibility with UAE energy resources.  Energy and exergy models were then developed for the APR1400 steam Rankine cycle, the Mohammed bin  Rashid Al Maktoum Solar Park, the Sir Bani Yas wind farm, and the three electrolysis technologies.  The APR1400 Rankine-cycle …

Large Language Model-Driven Agents In Virtual Reality For Inclusive Communication Training, Ziming Li

Theses

Vocational training programs aimed at improving the employability and autonomy of autistic individuals primarily focus on enhancing social communication skills. However, developing and implementing such training activities often demands significant time and effort from job coaches, who must adapt to various interview and workplace scenarios while customizing the training to meet the specific needs of autistic trainees. These challenges create barriers for job coaches to efficiently train autistic individuals and objectively evaluate their performance. To address these challenges, this dissertation explores the use of virtual reality (VR) and large language model (LLM)-driven agents to create customizable and interactive training platforms …

Assessing The Imprint Of Eccentricity In Gravitational-Wave Signatures, Natalie Malagon

Theses

The gravitational wave signal from merging compact binaries encodes information about their orbital and intrinsic properties. Over the last few years, state-of-the-art waveform models have begun to incorporate the effects of orbital eccentricity into their estimated signal. Over a similar period, many groups have applied these waveforms to characterize whether the imprint of eccentricity is present and, if so, measure this time-evolving property (at a suitably-defined reference point). In this work, we present a comprehensive analysis of 173 confident sources identified in the O1 through O4a observing runs of the International Gravitational Wave Network (LIGO-Virgo-KAGRA). Using the RIFT parameter inference …

Synthetic Aperture Radar Ground Moving Target Imaging And Motion Parameter Estimation Using Minimum Entropy Optimization, Adam H. Cohen

Theses

Synthetic aperture radar (SAR) imaging of ground moving targets presents significant challenges due to motion-induced defocus and displacement in single-channel stripmap mode data.  This thesis introduces a novel algorithm for ground moving target imaging (GMTIm) and motion  parameter estimation using minimum entropy optimization. The algorithm begins by using a technique  called aperture lengthening to determine the target’s azimuth velocity (va). Next, particle swarm  optimization (PSO) iteratively minimizes image entropy by varying range velocity (vr ), range  acceleration (ar ), and azimuth acceleration (aa) to produce focused images. The algorithm outputs  the final focused image and the set of motion parameters …

Analysis Of The Formation And Structure Of Protective Films In Sustainable Ionic Liquid Lubricants, Brendan Mahoney

Theses

Friction losses and wear of sliding components account for nearly one quarter of global energy consumption. Developing new lubricants to reduce these losses is essential for a more cost-effective and sustainable future. The automotive industry offers the greatest economic potential for new tribological discoveries, as it affects billions of people around the world. A significant portion of the friction losses in automobiles are due to the reciprocating motion in the engine, which leads to metal-on-metal contact. Ionic liquids have emerged as novel lubricants and additives due to their ability to form protective surface layers on metals, reducing friction and wear. …

Characterizing The Relationships Between Hydrology, Soil Biogeochemistry, And Green Ash Canopy Structure In Emerald Ash Borer-Affected Wetlands, Eva Switala

Theses

The invasion of the emerald ash borer (EAB; Agrilus planipennis) has caused mass mortality of native ash trees (Fraxinus spp.), devastating forested wetlands in the northeastern United States. Fifteen years post-introduction, the long-term ecological shifts and "new normals" of these ecosystems remain poorly understood. This project characterized patterns in EAB-affected forested wetlands by evaluating soil characteristics, biogeochemical cycling, hydrology, and green ash canopy across 12 sites with varying initial ash presence. Results revealed a clear separation between biogeochemically active and less active sites. Hydrologic differences emerged as a key driver of biogeochemical cycling, with higher soil moisture significantly increasing rates …

The Effect Of Aquatic Pollution On (Green) Microbial Communities In The Greater Rochester Area, Francesca Molee

Theses

Retention ponds are built in urban and suburban areas to catch the polluted runoff that would otherwise go into highly-valued freshwater ecosystems like the Great Lakes. They therefore make ideal model ecosystems to consider the effect of chemical, common pollution on aquatic communities. To understand the impact this aquatic pollution on both microbial community composition alongside green microbial physiological stress response, water column and sediment microbial communities were sampled from three retention ponds, and three non-retention, created ponds. The first part of this study focused on the microbial community composition. Using 16s amplicon sequencing on and subsequent analysis using Qiime2, …

Integrated Sources Of Photon-Pairs For Quantum Networking, Vijay Soorya Shunmuga Sundaram

Theses

Quantum networking enables the distribution of quantum information across distant nodes, unlocking capabilities such as secure communication, distributed quantum computing, enhanced metrology, and tests of fundamental physics. Photons serve as the natural carriers of quantum information over long distances due to their low loss in optical fibers and robustness to environmental decoherence. However, the practical realization of quantum networks remains limited by the lack of photon sources that are simultaneously compatible with diverse quantum systems, stable over long timescales, and suitable for deployment in real-world fiber infrastructure.  This dissertation addresses these challenges through the co-development of photon-pair sources and a …

Topological Tools For The Analysis Of Complex Networks And Higher-Order Networks, Jason P. Laruez

Theses

This dissertation investigates the intersection of topological data analysis and network science, applying and extending persistent homology, Betti numbers, and simpliciality measures to study temporal, evolving, and coevolving networked systems. We introduce a multi-layer zigzag persistent homology framework for analyzing temporal hypergraphs across multiple timescales simultaneously, and validate it on the DARPA Operationally Transparent Cyber dataset, where it produces topological signatures that distinguish malicious from benign network activity by source IP. We then apply topological tools to classical generative network models and their hypergraph extensions, characterizing how Betti numbers, filling efficiencies, and simpliciality measures evolve as these models grow or …

Development Of Blue And Near-Uv Iii-Nitride Laser Diodes, Matthew Seitz

Theses

III-Nitrides show tremendous promise for a wide range of laser diodes and other optoelectronics devices. The wide range of emission wavelengths possible makes these devices ideal candidates for a wide range of applications. Despite this, several challenges remain unsolved, limiting the efficiency and output power from III-Nitride optoelectronics. Three of the most significant remaining challenges surround the formation of low resistance ohmic electrical contacts, poor p-type doping of III-Nitride crystals as well, and the fabrication of the smooth, mirror facets needed for optical feedback and laser operation. Inefficient dopant activation leads to poor conductivity and increased electrical resistance due to …

Lubricating Abilities Of Choline Amino Acid Protic Ionic Liquids Under High Temperature And Electrified Conditions, Esmond Lau

Theses

This work explores the tribological properties of choline amino acid protic ionic liquids (PILs) as environmentally friendly lubricants under high temperatures and electrified conditions. These conditions are found in the automotive sector, notably in internal combustion engine vehicles (ICEVs) and electric vehicles (EVs). Lubrication technologies are vital to improving the efficiency and operating lifetime of moving components in automotive drivetrains. The use of ionic liquids (ILs) is actively being researched, with ongoing exploration of their lubricating potential and unique physicochemical characteristics. Compared to traditional petroleum-based lubricants, ILs’ ability to thrive in these conditions will offer substantial benefits, immediately extend operational …

Towards Efficient Continual Deep Learning, Md Yousuf Harun

Theses

Modern AI systems can achieve remarkable performance on tasks such as image recognition, object detection, and language understanding, but they often struggle with a basic ability that humans rely on every day: learning continuously. When deep neural networks (DNNs) are updated with new information, they can unexpectedly forget what they previously learned, making them difficult to deploy in changing real-world environments. This dissertation explores how to build AI systems that can learn more like humans: adapting to new data, preserving past knowledge, and using prior experience to learn future tasks more efficiently. Rather than focusing only on preventing forgetting, this …

The Basketball Player Performance Analysis And Game Strategy Of Optimization, Khalid Juma Obaid Ghabish Yaqoub

Theses

NBA games generate a lot of data, thanks to tracking technologies like SportVU and Second Spectrum. This thesis will used this data to help understand player performance, team strategies, and game outcomes. We use advanced statistics and machine learning techniques to analyze player performance, like how efficiently they shoot (eFG%), their overall impact on the game (PER), and how much of the team's offense they use (USG%). We can also visualize shot charts to see where players tend to shoot from. Looking at team-level data, we can analyze offensive and defensive ratings, how well teams pass the ball, and how …

Perception Of Dynamic Lighting: Chromatic Adaptation And Augmented Reality, Abigayle Weymouth

Theses

Augmented reality (AR) is a rapidly developing technology with use cases ranging everywhere from medicine to entertainment. This research focuses on optical see-through (OST) AR, one of the common overarching types of available augmented reality devices. Color appearance in OST AR systems is affected by a mix of the viewing conditions and environment of the real world and the transparent virtual elements. Accurate control of the color of AR content in real-world use cases, which often includes changes in color over time in both parts of the environment, is important for many applications. This dissertation includes three studies of color …

Towards Efficient And High-Fidelity Generative Models, Paribesh Regmi

Theses

Generative models aim to learn the underlying data distribution and synthesize realistic samples such as images, videos, and audio. Deep learning has brought remarkable success to this field, enabling models to capture complex, high-dimensional structures and produce highly realistic outputs. However, a fundamental challenge remains — achieving both computational efficiency and high-quality generation simultaneously. Among modern approaches, diffusion-based generative models stand out for their exceptional sample fidelity but require hundreds of iterative denoising steps, making them computationally expensive and slow. To improve efficiency, recent work trains diffusion models in the low-dimensional latent space of a pretrained Variational Autoencoder (VAE), where …

Advanced Mathematical Modeling And Data-Driven Techniques For The Diagnosis Of Diabetes Using Continuous Glucose Monitoring (Cgm) Data, Farah Morsi

Theses

Diabetes mellitus is a major and growing health challenge, particularly in the Middle East and North Africa (MENA) region. Continuous Glucose Monitoring (CGM) provides high-resolution time-series data that capture detailed glucose fluctuations over time. However, conventional CGM summary measures, such as mean glucose, standard deviation, and time-in-range, may not fully describe the nonlinear temporal structure of glucose dynamics.

This thesis investigates nonlinear dynamical approaches for analyzing CGM time series, with a focus on recurrence-based analysis and ordinal-network analysis. Recurrence-based methods, including recurrence quantification analysis (RQA), are used to characterize geometric and temporal patterns in reconstructed phase space, while ordinal networks …

استخدام تقنيات الذكاء الاصطناعي في إجراءات الاستدلال والتحقيق "دراسة مقارنة", حمد مصبح اليليلي

Theses

The Use of Artificial Intelligence Techniques in Reasoning and Investigation Procedures: Comparative Study

This research aims to analyze the role of artificial intelligence (AI) technologies in the stages of criminal investigation and inquiry through an applied analytical study. It focuses on the use of these technologies to support law enforcement and investigators with advanced scientific methods, particularly in analyzing digital evidence and accurately linking it to suspects. The study also explores the future development of these systems through their integration with AI technologies to enhance the efficiency of criminal investigation.

The United Arab Emirates has consistently been keen to develop …

On The Fractional Laplacian Type Operator, Maysam Abdulnaser Zain

Theses

In this thesis, we study analytical structures arising from Dunkl theory and their

applications to harmonic analysis and fractional Laplacian operators. Dunkl operators are differential–difference operators associated with finite reflection groups, providing a natural generalization of the classical Fourier analysis through the introduction of root systems and multiplicity functions. Within this framework, several classical transforms appear as special cases of the (k,a)-generalized Fourier transform. We study the generalized Fourier transform ��ₖ,ₐ, its kernel B_k,a (x,y), and the associated translation operator and convolution structures. Using these tools, we construct the corresponding heat …