Digital Commons Network^™

Quiet Relief: Voice In Migraine Packaging, Nicole Allgeyer

Theses

This paper explores typography as a form of nonverbal communication in pharmaceutical branding for a fictional medication called Neura by investigating how font choice, visual hierarchy, spacing, and color function as communicative tools to its viewers. This paper combines the studies of semiotics and branding to create a brand that evokes trust, calm, and clarity through a visual branding system. This study investigates visual signifiers (semiotics) such as color and type through visual analysis and implements the findings into the brand. By researching branding, I was able to create a brand that has a focused demographic and image. In creating …

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, …

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 …

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.

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 …

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 …

Ethical Visual Truth: An Analysis On Vietnam War Photojournalism, Anna Lauryn Carmichael

Theses

This thesis examines the ethical dimensions of Vietnam War photojournalism through close analysis of four iconic photographs: Nick Ut's The Terror of War (Napalm Girl) , Eddie Adams's Saigon Execution , Catherine Leroy's Vietnam, February 1967 , and Gilles Caron's Untitled (Who's the Enemy Here?) . Rather than treating these images as transparent documentation, this thesis argues that Vietnam War photojournalism functioned as a contested medium of narrative construction, one whose most celebrated images achieved iconic status by conforming to Western visual conventions and institutional demands, rather than by capturing some unmediated truth. Drawing on the interconnected frameworks of visual …

What Is Media Authenticity?: A Guide To Detecting Authentic Media Literacy, Kawan Yarbrough

Theses

This project seeks to answer the question of what media authenticity is, as it relates to different forms of popular media such as social media and content creators, content consumers that also actively post on social media, Reality Television and also touching base on how Artificial Intelligence has infiltrated the lives of many. Aside from discussing academia that has been published on this topic prior, my project will additionally include a quick guideline for being able to detect inauthentic media, and give quick points and recommendations for people that have no active media literacy training of any kind that can …

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 …

Color Shift: A Graphic Design Process Book Exploring How Color And Motion Influence Emotional Perception And Brand Connection In Affordable Women's Fashion Jewelry, Elizabeth Voight

Theses

This study examines how manipulating color and motion within a single brand identity system influences consumer emotional response and brand consistency. Using a fictional modern jewelry brand, Quanta & Co., the research isolates color as the primary variable by applying nine distinct mid-range color palettes to identical layouts, logos, and structures across both print and digital touchpoints. These collateral assets include jewelry packaging, vehicle wraps, digital advertisements, and an animated logo. A quantitative survey was executed to capture real-time audience impressions regarding brand traits, perceived quality, and the overall alignment of each color variation with the brand's identity.

The findings …

Evaluating The Use Of Artificial Intelligence To Enhance Pediatric Simulation Among Associate Degree Nursing Students, Kaitlyn Price

Theses

Abstract

Background: Simulation has long been used to prepare pre-licensure nursing students for clinical practice. Traditional written pre-simulation assignments have been the assignment of choice for many years. However, artificial intelligence (AI) guided preparatory tools may offer students a more interactive, personalized way to enhance their simulation experience.

Purpose: The purpose of this project was to utilize AI technology in pre-simulation preparatory work to enhance learning in second-semester associate degree nursing students. 

Methods: The study consisted of randomized traditional and AI-guided preparatory groups among consenting participants. The sample consisted of 23 participants. Both sets of students completed the same simulation. …

Spikerff: Learning Forward With Layer-Local Plasticity And Semi-Hard Negatives, Karthik Tumkur Kumar

Theses

Effective contrastive learning relies on choosing useful, informative "hard" negative samples. Current hard negative sampling methods designed for traditional artificial neural networks (ANNs) are, in general, computationally costly and are ill-suited to account for the temporal structure relevant to neuromorphic data. To tackle these issues, in this work, we formulate a similarity-guided semi-hard negative sampling strategy for neuromorphic computing based on spiking neural networks (SNNs). We propose SpikeRFF (Spiking Recurrent Forward-Forward), a gradient-free and unsupervised recurrent spiking framework that combines layer-local Forward-Forward learning with semi-hard negative selection and temporally structured negative construction. Positive samples are encouraged to produce high goodness, …

Valorisation Potential Of Microalgae As A Sustainable Source Of Lipids And Health Promoting Compounds, Bozena Mccarthy

Theses

The transition toward a circular bioeconomy requires sustainable strategies for managing and valorising food industry effluents while reducing reliance on environmentally damaging raw materials such as palm oil, which is associated with deforestation, biodiversity loss and greenhouse gas (GHGs) emissions. Microalgae represent a promising platform for converting nutrient rich industrial by-products into biomass and high-value compounds for food, nutraceutical and bio-based applications. Dairy processing generates large quantities of whey, creating environmental challenges due to its high organic load. Improved whey treatment and valorisation strategies are therefore essential for enhancing sustainability in food production systems. In this study, the biomass productivity …

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 …

Decision Model For The Application Of Circular Economy In The End-Of-Life Management Of Power Transformers, Maha Mansour Nadhari

Theses

Power transformers are critical assets within utilities characterized by high capital and material intensity and long operational lifetimes. Traditionally, end-of-life management strategies for these transformers are very linear, limited to recovery or basic recycling and disposal. Although circular strategies can be integrated into the end-of-life management of these transformers, a key challenge to implementation is the absence of a structured, multi-criteria framework that can support decision-making in this context. This study addresses this gap by developing a decision model using a hybrid Multi Criteria Decision Analysis (MCDA) approach combining the Analytic Hierarchy Process (AHP) and the Technique for Order Preference …

Improving Neutron Scattering And Fission Modeling With Modern Machine Learning, Karl Daningburg

Theses

We describe the development of a novel emulator for the fission fragment decay code, $\texttt{CGMF}$, which calculates the emission of prompt neutrons and $\gamma$ rays from fission fragments.  The emulator described in this work uses a combination of a noisy emission model and mixture density network to model the neutron and $\gamma$-ray multiplicities and energies.  In this manuscript, we display the power of this type of emulator for not only modeling average prompt fission observables but also correlations between fission fragment initial conditions and these observables, using both neutron-induced and spontaneous fission reactions. We find that neutron ($\gamma$-ray) multiplicities can …

Understanding The Lubrication Mechanisms Of Environmentally Compatible Protic Ionic Liquids, Davis Kipkania Kiboi

Theses

The development of environmentally sustainable lubricants is increasingly important as industries seek to reduce friction, wear, energy losses, and environmental impact. Choline amino acid protic ionic liquids (PILs) have emerged as promising candidates due to their bio-based constituents, tunable molecular structures, and favorable lubrication properties. However, the influence of amino acid structure on their lubrication mechanisms and tribological performance remains poorly understood. This dissertation investigates the physicochemical properties, tribological behavior, and tribofilm formation mechanisms of choline amino acid PILs to establish structure–property–performance relationships for sustainable lubricant design. Ten choline amino acid PILs containing glycine, alanine, lysine, leucine, isoleucine, aspartic acid, …

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 …

Learning-Based Multi-Objective Operation Of Microgrid With Renewable Uncertainty And Demand-Side Management, Zeina Bahij

Theses

A microgrid is a small-scale power grid that can operate in either the grid-connected mode or the islanded mode. It consists of energy generation and storage devices for both power and thermal demands, where the thermal energy from the exhaust heat that cannot be transmitted over long distances can be utilized locally. The supply side may include dispatchable generation units with adjustable outputs and energy storage, alongside non-dispatchable renewables that depend entirely on resource availability. On the demand side, thermal loads are satisfied through waste heat recovery from exhaust gas (to maximize overall system efficiency) and direct fuel combustion. Electrical …

Benchmarking Spatial Niche Identification Tools On High-Resolution Xenium Single-Cell Transcriptomic Data, Sabiq Shahab

Theses

Spatial niche identification tools recover the tissue microenvironments that shape cell function, but existing benchmark studies typically rely on a single accuracy metric or focus on a single tissue type. This thesis benchmarks six niche identification tools, including Seurat, NicheDE, BANKSY, scNiche, Novae, and Quiche, which span composition based, spatial embedding, differential expression, graph fusion, foundational model, and differential abundance approaches. A five dimension evaluation framework was used to evaluate the six tools, which was applied across three resolutions using two 10x Genomics Xenium datasets with contrasting spatial organization, including a HER2+ breast cancer tumor and the mouse brain. While …

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 …

Rooted Worlds, Eli Groborchik

Theses

Plant Awareness Disparity (PAD) describes a widespread cognitive bias where plant life is systematically overlooked in favor of its animal counterparts. This disconnect is acutely visible in natural history museums where plant life is notoriously difficult to display. Rooted Worlds is an interactive, physical-digital installation designed to combat this bias by bridging the emotional and educational gap between audiences and Earth’s diverse ecosystems. Rejecting traditional flat screens and passive dioramas, the exhibit utilizes a fourteen-foot, 270-degree cylindrical projection screen to immerse visitors in six distinct, digitally rendered global biomes, creating a restorative and engaging space that leverages Attention Restoration Theory …

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 …

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 …

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 …

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 …

Comparing Deposition-Dependent Variations In Tungsten Oxide Thin-Film Composition Using X-Ray Photoelectron Spectroscopy, Tevfik Ozkaynak

Theses

In this work, tungsten oxide thin films were fabricated using magnetron sputter deposition and electron beam evaporation under varying oxygen conditions to produce a range of stoichiometries, including substoichiometric compositions near WO₂.₇. The primary goal was to evaluate how reliably X-ray photoelectron spectroscopy (XPS) can quantify the stoichiometry of WOₓ thin films, determine how deposition conditions influence measured composition and oxidation states, and assess how argon ion sputtering, used for surface cleaning, alters tungsten oxidation states and affects XPS based stoichiometry. The films were analyzed using XPS under ultra-high vacuum conditions. Survey spectra were used to identify elemental composition, while …

Too Big, Too Soon: Investigating Black Hole Masses In High-Redshift Jwst Agn Using Belmac, Katrina Mcmaster

Theses

The masses of supermassive black holes (SMBHs) in high-redshift quasars are commonly estimated using virial mass estimations calibrated on active galactic nuclei (AGN) in the local universe. However, when applied to new James Webb Space Telescope (JWST) observations at high redshift, these methods often yield SMBH masses that exceed theoretical growth limits, implying the need for heavy black hole seeds or periods of high mass accretion rates, also known as super-Eddington accretion. This tension highlights potential limitations of the virial approach at early cosmic times. This work investigates an alternative method for estimating high-redshift SMBH masses using the Broad Emission …

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 …

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 …