Digital Commons Network^™

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 …

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 …

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 …

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 …

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, …

What’S Kept, Caitlin Smith

Theses

This thesis examines the collective psychological aftermath of de-industrialization in a rust belt city, processed through perspectives of nostalgia and betrayal. By reframing childhood memories of instability and inherited narratives, a framework is established for investigating the modalities through which love and attachment may obscure entangled harm, and how grief operates across both collective and personal registers. Found objects are situated as sites of projection where memories are abstracted and reconstituted. The processes of decay and weathering serve as analogues for psychological trauma, reframing deterioration as an inevitable and generative condition. Natural elements act as metaphors for neutrality, challenging imposed …

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 …

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 …

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, …

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. …

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, …

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 …

Gender Relations Within 18th And 19th Century Art And How It Affects A 21st Century Learner, Sophie Lima

Theses

This study constructs a curriculum unit comprising five lessons in feminist art history for middle school learners in 5th-8th grade. Drawing on theories and concepts from feminist art history, visual culture, and inquiry in art education, this curriculum aims to address the scarcity of age-appropriate materials in feminist art history. There is a need for curricular materials that help learners critically analyze issues of gender, identity, and power conveyed through visual culture. The curriculum encourages middle-grade students to engage with three approaches to art analysis: formalism, iconography, and feminism. The organized unit focuses on inquiry, interpretation, comparison, production, and evaluation. …

Developing Sight-Reading Proficiency In Music Education: A Synthesis Of Instructional Strategies And Pedagogical Approaches, Charles Clements Ii

Theses

Sight-reading is a foundational skill in music education that enables students to perform unfamiliar musical material independently. Despite its importance, instruction is often inconsistent and driven by performance priorities rather than systematic skill development. This thesis synthesizes existing research on sight-reading pedagogy to identify effective instructional strategies and organize them into a cohesive framework for educators.

By connecting research to classroom application, this project provides a practical, research-informed model for sight-reading instruction. The findings suggest that effective instruction requires a structured and integrated approach that supports both cognitive processing and musical performance, ultimately promoting greater student independence and musical literacy.

Sea-Ice Observation In The Arctic By The Arab Satellite 813, Simulated By The Radiative Transfer Model ‘Sciatran’, Tuqa Mohsin Al Hajri

Theses

The purpose of this research is to explore the spectral behavior of sea ice and to understand how Arctic sea ice surfaces appear when they are observed with a hyperspectral sensor. This is crucial because sea ice changes a lot during the melt season, and different surface types can sometimes look similar to a human eye, but physically they are different. It is thus essential to identify the spectral differences between these surfaces. The main objective of this study is to examine how the spectra of white ice and melt ponds change when their physical and optical properties are varied, …

Control And Entrainment Of Oscillatory Dynamics In An Oncolytic Virus–Tumor Model Under Periodic Therapy Forcing, Aya Salaheddin Shujrawi

Theses

This thesis investigates the dynamics of a tumour–virus interaction model under sinusoidal periodic viral injection, using the three-compartment ordinary differential equation framework of Baabdulla and Hillen (2024). The aim is to characterise how the frequency and amplitude of periodic injection interact with the system's intrinsic oscillatory dynamics, and to identify conditions for stable frequency entrainment. Equilibrium and Hopf bifurcation analysis of the autonomous system yields a supercritical bifurcation at θ_H^auto ≈ 338.45 with intrinsic frequency Ω₀^auto ≈ 0.7552. Introducing a constant baseline injection u₀ = 0.05 raises the threshold to θ_H^forced ≈ 364.85 and shifts …

Fractional Bernstein Polynomial Approximations For Nonlinear Timefractional Partial Differential Equations, Reem Abdul Quzli

Theses

This thesis studies the numerical approximation of nonlinear time-fractional partial differential equations using fractional Bernstein polynomials. The main model considered is the nonlinear time-fractional foam drainage equation, in which the classical time derivative is replaced by the Caputo fractional derivative. This formulation introduces memory effects into the model and allows the present drainage behavior to depend on the previous evolution of the liquid fraction.

The proposed method approximates the solution by a finite expansion of fractional Bernstein basis functions. After substituting this approximation into the governing equation, the residual is expanded in powers of t^�� . The unknown coefficient …

A Reproducible Hdr-Native Psychophysics Infrastructure For Color Science Research, Fernando Voltolini De Azambuja

Theses

Color science psychophysics measures the human visual system by relating controlled visual stimuli to observer responses, often through forced-choice paradigms such as two-alternative forced choice (2AFC) (Kingdom and Prins 2016). These studies require stimuli specified in physically meaningful units, technically correct display emission, and reproducible execution (Fairchild 2013; Lin et al. 2023). In practice, graduate-level experiments often rely on bespoke MATLAB or Python scripts, standard dynamic range (SDR)-first toolchains such as Psychtoolbox and PsychoPy, manual stimulus duplication, and incomplete capture of calibration, colorimetric state, and display capability (Brainard 1997; Peirce et al. 2019). These limitations increase experimental friction and create …

Analytical And Numerical Methods For Solving Fractional Integro-Differential Equations Using The Modified Operational Matrix Method, Nour Alzoubi

Theses

Fractional calculus has attracted considerable attention in recent years because of its wide applicability to model a variety of linear and nonlinear physical phenomena across different scientific disciplines. In particular, fractional diferential equation systems have proven to be effective in describing processes with memory and hereditary properties. However, the solvability and analysis of such systems strongly depend on the type of fractional operator employed, especially in the presence of nonlocal fractional derivatives with singular kernels, which remain an open and challenging area of research.

The main objective of this thesis is to develop efficient analytical and numerical techniques for solving …

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 …

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 …

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 …

Effects Of Led Light Spectra And 1-Mcp On Postharvest Quality And Bioactive Compounds Of Cucumber (Cucumis Sativus L.) During Cold Storage, Imad Eldin Abbas Yousif

Theses

Extending postharvest quality and maintaining the nutritional value of cucumber fruit requires specific storage conditions to postpone senescence and enhance marketability. The postharvest lighting environment is a main factor that influences quality preservation for harvested biomass. The objective of this study was to investigate the effects of different light emitting diodes (LED) spectra (green, red, blue, and white LED) alone or in combination with 1-Methylcyclopropene (1-MCP) on postharvest quality and bioactive compounds of cucumber fruit during cold storage for 16 days at 5°C, the control fruit were left in the dark. For combined treatment, the fruits were exposed to 1-MCP …

A Hybrid Approach To Phishing Email Detection: Leveraging Machine Learning And Large Language Models, Hessa Shamal Biri

Theses

Phishing attacks have reached a new level of sophistication through the deployment of large language models by attackers. The current AI-generated threats defeat existing detection systems which base their operation on past data. The thesis presents a hybrid system for phishing email detection which combines real email data with synthetic LLM-created samples to enhance traditional machine learning classifiers performance. The study created a hybrid dataset of 20,627 emails by combining 18,631 real messages from the Kaggle Email Classification Dataset with 1,996 synthetic emails. The synthetic emails were generated using four large language models LLaMA-3, Falcon, LLaVA, and Mistral to capture …

Reinforcement Learning-Enabled Resource Allocation For Distributed And Uncoordinated Cognitive Radio Networks, Ankita Vijay Tondwalkar

Theses

To keep up with the ever-increasing performance demand from wireless applications, wireless networks necessitate to operate following an efficient use of the available radio spectrum. Since the radio spectrum is a limited resource, the increasing demand for wireless services and applications to support a wide spectrum of users is a challenge in itself and therefore requires advanced techniques to manage and utilize radio resources efficiently. Dynamic spectrum access (DSA) and sharing play a crucial role in improving the utilization of the radio spectrum, as it departs from the traditional approach of static radio spectrum band allocation which usually leads to …

Echelon Trust Network: An Exploration Of Speculative Design And Critique Of Manipulative Technologies, Sydney Rowley

Theses

As emerging technologies become increasingly integrated into everyday life, concerns  surrounding privacy, surveillance, and personal autonomy continue to grow. Artificial  intelligence, data tracking, targeted advertising, and location-monitoring have intensified public  anxieties about the collection and use of personal data. These concerns echo themes explored in  classic dystopian literature, which have long warned of societies where privacy is sacrificed for  security and human identity is reduced to data. Echelon Trust Network explores these anxieties  through a speculative design project that imagines a future in which constant surveillance and  algorithmic trust scoring govern social interactions.  Developed as a motion graphics piece in …

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 …

The Effects Of Osha State Plans And State Gdp On Occupational Injuries And Illnesses In The United States, Ahmad Abdel Rahman Mohammad Amoorah

Theses

Workplace safety in the United States is governed by a system in which some states operate under federal OSHA oversight, while others administer their own OSHA-approved safety and health plans. This duality raises questions about whether state-level control leads to variation in safety and health outcomes. Economic conditions have also been shown to influence workplace injury rates, yet the interaction between safety and health regulations and local economies remains underexplored. Understanding these relationships is critical to protecting workers in occupational settings. The effects of OSHA state-plan status and state-level economic activity on occupational injury and illness rates across the United …