Digital Commons Network^™

Macroscopic Roughness Modeling Of Satellite Multi-Layer Insulation Reflectance, Kevin P. Donnelly

Theses

Reflectance modeling of specular surfaces with irregular geometries remains difficult to solve for an array of applications. In the growing space industry, there are many spacecraft materials with high specularity and varying levels of roughness. Modeling these materials in simulations becomes difficult as any realistic amount of roughness is added, necessitating more accurate physical models to represent how light is interacting with these surfaces. While some work has been done to attempt to characterize the spectral signatures of the materials themselves using hyperspectral imaging systems, the scope of these efforts has been fairly limited and not representative of the conditions …

How Do You Know? Parsing The Infocalypse Using Art-Based Data Visualization, Michelle Sylvia Weintraub

Theses

Since the advent of the World Wide Web, vast interconnected digital networks have increasingly provided access to diverse data sources for Internet users. Towards the turn of the 21st century, social media sites opened opportunities to produce and consume (i.e., prosume) data, empowering users to publish their own content online (Manovich, 2009). The ability to publish user-generated content results in more voices being heard, creating more seats at the proverbial table. However, more recently, persuasive media has increasingly been weaponized to disseminate misinformation and disinformation online (Howard, 2020). Consequently, the agency exercised by Internet and social media users is diminished. …

Connecting Children With Artists Through A Children's Art History Book, Katie Meyer

Theses

This project is a children’s art history book that is set in an art museum. The goal of the book is to help children connect with Contemporary artists and their art. A museum setting is utilized to introduce children to museums and as an appropriate environment for viewing art. The theme of the exhibit that will be presented in the book is titled the “Innovators Exhibit.” This exhibit features six Contemporary artists from different art styles/mediums. The artists come from diverse backgrounds to expose children to a variety of cultures. Thought provoking questions will also be asked throughout the book …

Engraving Goddesses: Hendrick Goltzius’S Mannerist Prints, Emily Seils

Theses

This project analyzes the reception of Hendrick Goltzius’s (1558-1617) prints within the court of Emperor Rudolf II (1552-1612), specifically how his technical expertise in his mythological compositions presented bodily transformation as an alchemical act. He produced images that were intellectually coded for a sophisticated audience while simultaneously capturing the viewer’s gaze and emotions. In doing so he created, alongside his contemporaries, a niche market of high demand art and enabled the "viral" circulation of collectable prints among Northern European elites. Three main topics structured my approach. First, the distinctive development of Rudolf II of Prague’s prestigious art collection, the Kunstkammer, …

The Evolution Of Agriculture Marketing: Harnessing Data Analytics To Understand Generational Shifts And Influencer Trends, Lexi Schweigert

Theses

The findings reveal that data analytics plays a crucial role in shaping marketing strategies in agriculture. Generational shifts, particularly among Gen Z and Alpha, are driving changes in consumer preferences and expectations. Influencers are also playing an increasingly important role in shaping the perception of agriculture and food among these generations.

Customizing Ai Strategies Across Multiple Generations, Matthew Harrer

Theses

This project investigates how artificial intelligence can help brands and marketers connect more effectively with Generation X, Millennials, and Generation Z. The literature review lays the groundwork that focuses on consumer behaviors and the integration of AI into digital marketing practices for each generation. The second part of the project involves a secondary data analysis of 21 recent marketing surveys and reports that explores topics related to trust, personalization, and social media. By integrating the findings into an insightful guidebook, marketers will be able to maximize these insights into clear actionable strategies.

Elisabetta Sirani’S Timoclea: Baroque Agency And The Aesthetics Of Feminine Rage, Shaylen Grace Gardner

Theses

This thesis examines Timoclea Kills the Captain of Alexander the Great (1659) by Elisabetta Sirani as a foundational example of feminine rage within the Baroque period. By framing Timoclea’s violent act not as an outlier or solely reactive gesture, but as a deliberate, composed assertion of power, Sirani constructs a model of feminine agency that defies patriarchal expectations of female submission and passivity. Through interdisciplinary analysis grounded in feminist theory, formal visual analysis, and retrospective cultural studies, this research argues that Sirani’s Timoclea exemplifies the Baroque’s strategic use of socially acceptable iconography to veil explicit challenges to gendered expectations. This …

Exploring Kosovo's Need For A Technology-Driven Offset Strategy, Alba Cikaqi

Theses

At a time where technological innovation is redefining national security, Kosovo risks falling behind by failing to adopt emerging technologies for defense and security. This research addresses that vulnerability by exploring the need for a dedicated national strategy as a solution. Drawing on global best practices, including the United States Offset Strategy, NATO frameworks, and innovation models from the Baltic countries, the study outlines a potential path forward. Additionally, through qualitative analysis, including interviews with key stakeholders across public, private, and academic sectors, this study looks into the opportunities and challenges of developing a context-specific strategy for integrating emerging technologies …

Unique Architecture: In Praise Of Paradox Persistence, Odaly Plancarte

Theses

This thesis explores how bold and unconventional architectural designs are first rejected and later embraced by the public. Through a comparative study of the Sydney Opera House, the Louvre Pyramid, and the Walt Disney Concert Hall, it examines how public opinion shifts over time. Using media reports, interviews, and public comments, the study tracks emotional responses (positive, neutral, or negative) assigned a score to measure change over the years. The research applies Everett Rogers’ Diffusion of Innovation Theory to explain this shift in five stages: knowledge, persuasion, decision, implementation, and confirmation. Each building faced early backlash, but eventually became a …

Utilizing Natural Language Processing To Optimize Business Processes, Olt Kondirolli

Theses

This Capstone project explores the potential of Natural Language Processing (NLP) techniques in optimizing decision-making and organizational workflows across various domains. The Capstone project uses three case studies to demonstrate how sentiment analysis, frequency analysis, and topic modeling can analyze unstructured textual data to provide insightful findings. The first case study evaluates employee satisfaction using sentiment analysis, uncovering trends across departments and roles to guide targeted organizational interventions. The second case study focuses on student feedback at a higher education institution, using sentiment and frequency analyses to identify key areas for improvement in academic programs and services. The third case …

Something’S Gonna Give, Jonathan Dean Mills

Theses

This thesis examines the differences between structures of time and the relationships in which queer people orient themselves to develop an archive of a trans- body navigating the world they inhabit. Through deconstructing the notions of hegemonic time, queer identities and spaces are created, occupied, and left to be re-navigated. This study explores the fluidity of materials such as plaster, metal, and glass, in tandem with a transitioning body and identity, aiming to break down the structures of time and place to build new definitions of existence, identity, and the pursuit of a trans- future.

Consumer Behavior Of Gen Z In Kosovo: Purchasing Preferences And Brand Engagement, Sara Dumani

Theses

This capstone project examines the consumer behavior of Generation Z in Kosovo by analyzing their purchasing preferences and brand engagement. The Generation Z demographic, which includes individuals born between 1996 and 2010, is the focus of this study. This generation is characterized by digital savviness and a significant influence from social media platforms, shaping their purchasing decisions and brand engagement. Generation Z’s behavior is often marked by a preference for online shopping, collaborative marketing approaches, and sustainability, making it essential to understand these factors in the context of Kosovo. The data for analyzing Generation Z’s consumer behavior were collected through …

The Transition Of The Ict Sector In Kosovo From Service-Based Companies To Product-Based Companies, Erinda Elezaj

Theses

The capstone project will discuss the barriers and opportunities of the ICT sector of Kosovo to shift its business models into the product-based models, with an emphasis on the economic, social, and cultural determinants of the shift. ICT sector in Kosovo has been dominated long by outsourcing and service provision, yet the world trends and local ambitions require a shift towards innovation-based scalable product models that would create sustainable growth and competitiveness. The study is of qualitative nature and it takes the form of semi-structured interviews with 13 main stakeholders representing government, industry, education and cultural sectors. These interviews provide …

Investigating Spectral Rendering Techniques To Improve Colour Matching In Virtual Production, Vlad Simion

Theses

As rendering engines become increasingly important in film and television, with their use in virtual production (VP) to display rendered imagery, some underlying issues become more apparent. This thesis aims to investigate how we can improve asset color matching of VP elements with real-life objects found on sets. Experiments were conducted in which objects were exposed to various types of lighting setups, and digital twins were rendered using traditional computer graphics techniques. The renderings occurred in both classic RGB spaces and the spectral domain. Additionally, data reduction techniques were used for the spectral renderings to determine if any of them …

Crispr-Dcas9 Genomic Engineering For Boosting The Therapeutic Potential Of Extracellular Vesicles, Iker Martinez Zalbidea

Theses

Degenerative disc disease is a major contributor to low back pain, characterized by inflammation of the intervertebral disc (IVD), degradation of the extracellular matrix, loss of hydration, and cell death. Current therapies fail to address these underlying mechanisms, underscoring the need for regenerative strategies. Mesenchymal stem cells (MSCs) exhibit immunomodulatory and regenerative potential, but their efficacy is hampered by the harsh microenvironment of the degenerated IVD. Acellular MSC-derived extracellular vesicles (EVs) have shown therapeutic potential and offer a promising alternative for IVD regeneration. Here, we explore CRISPR-dCas9 mediated activation of TSG6 and STEAP3 to boost the therapeutic potency and biogenesis …

The Virgin Of Guadalupe And The Liminality Of Pregnancy, Jason Oosting

Theses

This thesis suggests that the image of the Virgin of Guadalupe, during the Colonial Period, provided the diverse population of colonial New Spain (and, in particular, Mexico City/Tenochtitlán) with an image that functioned to unify even some of the most seemingly disparate belief systems, those of Christian Spaniards and Indigenous Nahuatl traditions. More specifically, this thesis argues that this unification was achieved because the image of the Virgin of Guadalupe in the 16th and 17th centuries was likely understood as representing a divine pregnant woman to many colonial viewers—a state that bound viewers, both Spanish and Indigenous alike, to shared …

Personifying The Goddess: Contrasting Representation Of The Deified Body In Feminist Art, Kelly Lorraine Phillips

Theses

Goddess imagery, the representation of a female deity or a concept of divine feminine power through various forms, symbols, and narratives, has been used by artists to communicate a multitude of sentiments, from spiritual reverence to political ideology. This study probes the evolution of representations of the deified female body from the 1970s to the current era to reveal contrasts in how these icons of female power have transformed over time. The artwork of second-wave feminist and self-identified “Goddess artist” Mary Beth Edelson is examined as a foundation for second-wave Goddess sentiment. Edelson’s collage work, which incorporates figures from a …

Utilizing Date Fruit Pomace As A Corrosion Green Inhibitor For Non Ferrous Alloys, Sardor Rustam Odilov

Theses

This thesis explores a novel green corrosion inhibitor derived from date fruit pomace extract (DFPE) for the protection of aluminum alloy 3003 in highly corrosive environments, specifically hydrochloric acid (HCl) and natural seawater. The central aim is to promote the sustainable reuse of agro-waste as an effective and eco-friendly alternative to conventional toxic inhibitors, aligning with environmental and industrial safety goals.

A comprehensive methodology was employed, including Soxhlet extraction (using both non-polar n-hexane and polar methanol-water solvents), rotary evaporation, and FTIR analysis to identify the active functional groups responsible for inhibition. Corrosion behavior was systematically evaluated using both mechanical (weight …

Investigation And Prediction Of Excessive Water Production In Bottom Water-Drive Naturally Fractured Reservoirs Using Machine And Deep Learning, Sami Abderraouf Belkhir

Theses

Naturally Fractured Reservoirs (NFRs) are characterized by dual-porosity and dual-permeability systems, posing significant challenges in managing water production due to highly conductive fracture networks that facilitate rapid water migration from bottom aquifers, often bypassing oil stored in the matrix, thus resulting in early water breakthrough and water channeling phenomena. The main objective of this thesis is to develop and validate deep learning and machine learning models to predict water production, water breakthrough time (tbt), and ultimate water cut (WCult) in NFRs, thereby enabling more effective reservoir management strategies. This work also aims to evaluate the sensitivity of water behavior to …

Experimental Evaluation Of Novel Nano Polymer Hybrid Enhanced Oil Recovery In Carbonate Reservoir, Altamish Ahmed Pakeer

Theses

Innovative enhanced oil recovery (EOR) strategies are needed to unlock additional reserves in heterogeneous, oil-wet carbonate reservoirs. This study evaluates hybrid nano-polymer flooding by integrating silica nanoparticles (SiO₂) and single-walled carbon nanotubes (CNT) with novel HPAM polymers (Sav10 and Sav10 VHM) to optimize wettability alteration, rheological parameters, and recovery mechanisms.

A comprehensive experimental approach was employed, where rheological tests assessed viscosity enhancement under varying shear conditions, and wettability alteration was quantified via contact angle measurements using HPAM-SiO₂, HPAM-CNT, Sav10 VHM-SiO₂, and Sav10 VHM-CNT systems. Core floods were performed in three consecutive phases; waterflooding (baseline), standalone nanoparticle flooding, and hybrid nano-polymer …

Electrospun Membranes From Bio-Renewable Poly (Ethylene Furanoate)/Poly (Ethylene Teraphthalate) (Pef/Pet) Blend For Emulsification Application, Aya Ismat Sayed

Theses

This thesis focuses on manufacturing electrospun fibrous membranes from a blend of poly (ethylene terephthalate) and poly (ethylene furanoate) and using in premix emulsification. Poly (ethylene furanoate), which is a 100% bio-renewable polymer being blended with synthetic poly (ethylene terephthalate) for membrane fabrication contributes towards sustainability in the production of food and pharmaceutical emulsions. The primary objective of this research is to optimize the fabrication conditions of poly (ethylene terephthalate)/poly (ethylene furanoate) porous membranes, characterize their properties, and evaluate their performance in emulsification. This study compares poly (ethylene terephthalate) / poly (ethylene furanoate) blend membranes with individual poly (ethylene terephthalate) …

Engineering Microphysiological Systems To Investigate Cellular Responses To Biophysical Cues In Human Tissue Microenvironments, Mehran Mansouri

Theses

Cells constantly sense and respond to biophysical cues in their microenvironment. Understanding how they interpret these mechanical signals is essential for advancing tissue modeling, studying disease mechanisms, and developing more predictive in vitro platforms. This dissertation presents a series of engineered microphysiological systems (MPS) designed to investigate how mechanical stimuli shape cellular behavior in distinct human tissue microenvironments. In Aim 1, I developed a reconfigurable microfluidic platform that mimics key features of human vascular barriers. This system supports the integration of porous membranes, 3D hydrogels, and flow channels, enabling precise control over both mechanical and biochemical cues. The modularity of …

Modeling Femtosecond Laser Interaction With Glass For Optical Fabrication, Nathan Klein

Theses

The fabrication of precision optics is critical for a wide range of applications, including biosensors, virtual and augmented reality, medical imaging, and micro-electronics. However, it is challenging to meet the demands of these applications with conventional chemical and mechanical fabrication methods, as they can introduce chemical waste, mid-spatial-frequency errors, and subsurface damage that degrades image quality. Femtosecond lasers have emerged as a promising alternative, offering fast, non-contact, and chemical-free machining with single digit nanometer precision. This thesis presents a computational model designed to investigate the interaction process between a high-intensity femtosecond laser pulse and dielectric material. A pulse propagation model …

Interaction Of Liquid Phase Diisopropyl Methyl Phosphonate (Dimp) With Material Surrogates For Components Of Soil And Combustion Products Of Metal Fuels, Khushi Sunil Patel

Theses

Combustion products of three different Al-based materials, Al-CaCO₃, Al-SiO₂, and Al-Fe₂O₃ , have been produced to understand their interaction with liquid diisopropyl methyl phosphonate (DIMP), a surrogate for chemical weapon agents. The purpose of this is to see which materials were more effective at DIMP adsorption and decomposition at different temperatures. Prepared materials were characterized using electron microscopy, x-ray powder diffraction, and nitrogen adsorption. Prepared powders were submerged in DIMP and heated in a thermal analyzer, tracking the mass changes as a function of temperature. Surfaces of the recovered materials were studied using …

A Novel Framework For Dynamic Graph Representation Learning With Mamba, Ashish Pandey

Theses

Dynamic graph embedding is a key technique for modeling temporal dependencies in evolving networks. While transformer-based models perform well, their quadratic complexity limits scalability on long graph sequences. This thesis compares transformer approaches with the Mamba architecture-a linear-complexity state-space model—for temporal graph embedding.

Two frameworks are proposed: DG-Mamba and GDG-Mamba. DG-Mamba uses standard GCN-based spatial encoding, while GDG-Mamba incorporates domain-aware edge features using Graph Isomorphism Network with Edge Convolution (GraphGINE). Experiments on UCI, Reality Mining, Slashdot, Bitcoin-OTC, and SBM datasets show that Mamba-based models match or exceed transformer performance, especially on graphs with high temporal variability.

The thesis also applies …

Hybrid Sentiment Analysis Of Police Social Media: Managing Big Data Impact On Youth, Alunood Yousuf Alamiri

Theses

The pervasive influence of social media has reshaped public communication, particularly for institutions like law enforcement agencies that rely on these platforms to engage with the community. As police departments increasingly utilize social media to disseminate information, interact with the public, and manage public relations, the need for effective sentiment analysis becomes crucial. Understanding how police messages are received by the public, especially by the youth, who are among the most active and impressionable users of social media, is essential for maintaining public trust and ensuring effective communication. This thesis, seeks to develop a comprehensive solution for this challenge. The …

Forecasting Cryptocurrency Price Movements With Tweet Volume And Sentiment Analysis, Ahmed Alblooshi

Theses

Cryptocurrency markets are highly volatile and driven by rapidly shifting public sentiment and attention. Traditional financial models, reliant on historical pricing data, often fall short in capturingthereal-time,sentiment-basedbehaviourofcryptoinvestors. Among social platforms, X(formerly Twitter) stands out as a key influencer in crypto discussions, offering a rich source of public sentiment. The thesis presents a machine learning-powered tool that leverages tweet volume and sentiment to analyse short-term cryptocurrency trends. The primary aim is to design a practical analysis system that detects and interprets social media ”hype” around specific cryptocurrencies. By allowing users to choose a cryptocurrency name from a list, the tool provides …

On The Use Of Nonlinear Electrophoresis For Separating Particles And Cells In Insulator-Based Electrokinetic Systems, Alaleh Vaghef-Koodehi

Theses

The increasing demand for efficient separation processes of micron-sized particles, including microorganisms, highlights the importance of developing low-cost, non-labor-intensive, and time-efficient techniques. Insulator-based electrokinetic (iEK) systems have proven to be a practical alternative to bench-scale methodologies such as centrifugation and membrane filtration. Several studies have reported the separation of microparticles by employing direct current (DC) voltages. However, all of them have overlooked the phenomenon of nonlinear electrophoresis (EPNL) and its role in the electrokinetic migration of particles. This study combines mathematical modeling and experiments to extend the capabilities of iEK systems. This dissertation has four aims: (1) to separate microparticles …

Shopping Quest: Transforming The Shopping Experience By Creating A More Immersive And Enjoyable Experience, Nagasai Vardhan Rao Sarvepalli

Theses

In the post-pandemic era, this thesis looks into how gamification and augmented reality (AR) can get customers back into physical retail settings. Brick-and-mortar stores have found it difficult to stay relevant as consumer preferences have shifted toward online convenience. Shopping Quest attempts to make in-store grocery shopping an engaging experience. The project started with qualitative surveys using a human-centered design process to determine the main frustrations of shoppers, which were navigation and remembering what to buy. The final idea makes use of a wearable AR interface that directs users with a virtual rocket and promotes exploration with collectible digital petals. …

Peach Street, Anastasia Lawrence

Theses

Peach Street connects to the universal phenomenon of losing innocence of childhood and navigating the perils and disappointments of the adult world and visualizes my ongoing experience with anxiety and what psychiatrists call derealization, the feeling of being detached from reality. Set in the same location as where I first felt immense panic, my photos create a fictional narrative where a small town, its residents, and the environment are being controlled by a force emanating from the town’s lake. The lake’s aura blinds the residents to its control, forcing them to live in a set way without personal expression or …