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Cognitive Reserve In The Deaf/Hard Of Hearing Community: An Exploration Of Contributing Factors, Olivia B. Allaby
Cognitive Reserve In The Deaf/Hard Of Hearing Community: An Exploration Of Contributing Factors, Olivia B. Allaby
Theses
Cognitive reserve (CR) refers to the individual differences in how people execute tasks, allowing some to cope with cognitive challenges more effectively than others. Additionally, previous studies have established a link between age-related hearing loss and cognitive decline. However, CR and cognitive aging have not been explored extensively in those who might identify as Deaf/hard of hearing (HH). There are four features potentially unique to this community that could shape one’s CR: use of hearing technology (e.g., hearing aid), bimodal bilingualism, and social connectedness and social support. One hundred fifty-nine Deaf/hard of hearing participants completed an online survey study assessing …
Amorphous Oxide Semiconductor Materials And Devices For Monolithic And Heterogeneous Integration, Eli P. Powell
Amorphous Oxide Semiconductor Materials And Devices For Monolithic And Heterogeneous Integration, Eli P. Powell
Theses
The expanding consumer electronics industry has spurred significant advancements in display technology. Thin-Film Transistors (TFTs) serve as active matrix switching components in LCD and OLED panels. Amorphous metal-oxide semiconductors (AOS) support large-area deposition at low temperatures and boasts an electron mobility many times greater than that of amorphous silicon. This work presents a comprehensive study on AOS materials and devices for their introduction to display, monolithic integration, and heterogeneous integration applications. Key studies have focused on advancing the state of (Indium Gallium Zinc Oxide) IGZO TFTs by addressing challenges in device uniformity, reliability, and modeling. Device uniformity was improved by …
Enhancing Adversarial Robustness In Convolutional Neural Networks By Integrating Human Viewing Strategies, Diana Velychko
Enhancing Adversarial Robustness In Convolutional Neural Networks By Integrating Human Viewing Strategies, Diana Velychko
Theses
Adversarial examples pose a serious threat to the reliability of deep neural networks by subtly manipulating inputs to induce incorrect outputs. Despite progress in the field, convolutional neural networks (CNNs) remain vulnerable to such perturbations. This research proposes a novel approach to improve adversarial robustness of CNNs by incorporating human viewing behavior into both training and testing processes. To establish a baseline for comparison with models trained from scratch, an eye-tracking dataset—collected during experiments involving novel objects from the Greeble dataset—was used to capture how humans learn to classify previously unseen object categories. This study compares model saliency with human …
Dyadic And Multiparty Turn-Taking In Two Deaf Preschool Classrooms, Savannah Tellander
Dyadic And Multiparty Turn-Taking In Two Deaf Preschool Classrooms, Savannah Tellander
Theses
Conversational turn-taking skills are needed to succeed in most conversational interactions. Timing of turn-taking is crucial for young deaf signers, who need early, accessible, and consistent input in a signed and/or spoken language. For deaf children who acquire a language in either modality, they must acquire appropriate turn-taking skills. Without these abilities, children may miss critical language input, and in a cascading effect–they may miss opportunities both for input (and thus new knowledge) and expressive language. In addition to documenting deaf children’s turn-taking skills across development, it is important to also document timing data for further understanding of cognitive language …
Comparative Phylogeography Of Three Widely Distributed Amazonian Poison Frogs, Sofia Del Milagro Granados Martinez
Comparative Phylogeography Of Three Widely Distributed Amazonian Poison Frogs, Sofia Del Milagro Granados Martinez
Theses
Amazonia has gone through extensive changes in its climates, geology, hydrology and drainage systems over the past 10 mya; these processes have been postulated as key drivers of diversification. Contrary to the trend where species once broadly distributed are subdivided into several species with restricted distributions, many taxa span the Amazon basin without noticeable genetic differentiation. In my thesis, I studied the phylogenetic and phylogeographic patterns of three widely distributed Amazonian poison frogs: Ameerega hahneli, Ameerega trivittata and Ranitomeya variabilis. I examined phylogenetic relationships based on two different types of genomic data—nuclear and mitochondrial—and I carried out population structure analyses. …
Radio Emission As A Probe Of Astrophysical Sources And Ionized Media, Olivia R. Young
Radio Emission As A Probe Of Astrophysical Sources And Ionized Media, Olivia R. Young
Theses
Broadband radio emission originates from a wide range of astronomical sources, such as the hot plasma of the middle solar corona and the exotic environments found around objects such as radio pulsars. For many of these sources, radio emission mechanisms and regions are not well understood, as they are complex and obscured from direct observation by the ionized media that the emission must traverse as it radiates outward toward the observer. Broadband radio waves from galactic astrophysical sources are delayed and distorted on their paths toward the Earth as they pass through the free electrons that compose a variety of …
Global Trail: Interactive Travel Memory System For Unesco Sites, Anne Sophie Beatrice Min Fa
Global Trail: Interactive Travel Memory System For Unesco Sites, Anne Sophie Beatrice Min Fa
Theses
Global Trail is an interactive mobile app designed for travellers or culture seekers to reimagine how they discover new places, engage with cultural sites and remember their travel experiences. In this digital world, photos get easily lost in phone galleries and sometimes lack an organized way to find specific memories to places visited. Through design, the app experience addresses three core objectives: Discover — users explore Unesco sites represented by badges through an interactive world map; Engage — they unlock and earn those badges when they visit those sites where they can post their memories on a community platform; and …
Multiplex Leiden Optimized Dynamic Network Microsegmentation And Flow Validation For Software Defined Networks, Rashed Husni Rashed Alnuman
Multiplex Leiden Optimized Dynamic Network Microsegmentation And Flow Validation For Software Defined Networks, Rashed Husni Rashed Alnuman
Theses
Modern digital infrastructure is fundamentally built upon robust networks, which underpin seamless communication, data exchange, and the operation of critical systems. These networks facilitate everything from internet access and real-time patient vital sign transfers in healthcare to the management and control of industrial processes. As demands on networks have surged, their complexity and functionality have evolved significantly, continuously adapting to diverse sectoral needs. However, this rapid evolution has also amplified security challenges. The escalating scale and intricacy of contemporary networks have exposed vulnerabilities that traditional perimeter-based security models are often insufficient to counter. Static defenses prove inadequate in dynamic environments …
Towards A Foundational Framework For Real-World Active Learning: Theory, Algorithms, And Applications, Dayou Yu
Theses
While supervised learning has seen great success in the modern machine learning era, the challenge of obtaining high-quality labeled training data still exists. In many knowledge-rich domains, we still face the problem of letting machine learning models learn well using a limited number of labels. Active learning (AL) has been a prominent learning paradigm that deals with such problems. This thesis reviews the classical challenges of AL, summarizes how our prior work has advanced the field, and charts a course for adapting AL to realistic and challenging scenarios. We begin by discussing past work on standard scenarios for AL, including …
Retrofitting An Fdm Printer For 3d Printing With Cotton Yarn: A Novel Approach And Mechanical Property Evaluation, Muhammad Aghead Al Arnaout
Retrofitting An Fdm Printer For 3d Printing With Cotton Yarn: A Novel Approach And Mechanical Property Evaluation, Muhammad Aghead Al Arnaout
Theses
The rapid rise of 3D printing in industry has intensified research into developing advanced and sustainable printing materials, as the properties of the feedstock directly influence the performance of the final product. This thesis investigates the integration of natural cotton yarn into PLA (Polylactic Acid) to enhance mechanical behavior while maintaining cost-effectiveness, using a standard 3D printer without any modifications. Experimental results across three phases demonstrated consistent improvements. In the first phase, cotton–PLA composites exhibited higher ductility (+22.27%) and toughness (+10.51%) than pure PLA, albeit with lower stress values and a slight decrease in Young’s modulus. In the second phase, …
On The Adaptation Of Latent Dynamics Models, Ryan Missel
On The Adaptation Of Latent Dynamics Models, Ryan Missel
Theses
Predicting future states of high-dimensional, partially observed dynamical systems - such as cardiac electrical propagation - is crucial for advancing fields like healthcare and physics. While univariate time-series forecasting is well-explored, high-dimensional time-series forecasting presents unresolved challenges. These challenges include the computational burden of processing high-dimensional data and the difficulty of accessing the system’s underlying dynamics directly. Classical optimization and analytical approaches become impractical as the dimensionality increases, leading to a growing interest in data-driven deep learning models, particularly those based on latent dynamics functions. Latent dynamics models provide an efficient way to map high-dimensional observations into lower-dimensional latent spaces, …
Waveform Systematics In Moderate Mass Ratio Binary Black Hole Systems, Rachel E. Mechum
Waveform Systematics In Moderate Mass Ratio Binary Black Hole Systems, Rachel E. Mechum
Theses
Gravitational wave (GW) observations of binary black hole (BBH) mergers by advanced LIGO (aLIGO) have transformed our understanding of compact objects (COs). As detector sensitivity improves, new populations consisting of moderate to high mass ratio binaries will become increasingly accessible. Parameter estimation (PE), a process that extracts source properties such as masses and spins from GW signals, is critically dependent on accurate waveform models. However, current models may use approximations that introduce systematic errors for binaries with mass ratios between 0.05 and 0.5, affecting parameter accuracy and scientific interpretation. Using the Rapid Iterative FiTting (RIFT) algorithm, this work quantifies waveform …
The Evolution Of The High Redshift Quiescent Population In Cosmos-Web, Carter B. Flayhart
The Evolution Of The High Redshift Quiescent Population In Cosmos-Web, Carter B. Flayhart
Theses
Understanding the quiescent galaxy population is incredibly important in the context of galaxy evolution. These galaxies are defined as having a low star formation rate, and their evolved stellar populations makes them identifiable by their redder colors in both the observed and rest-frame. Since their rest-frame optical emission lies in the infrared (IR) regime, observations of these galaxies at high redshifts were quite difficult prior to the launch of the James Webb Space Telescope (JWST). Recent observations of this high redshift population conflict with galaxy formation and evolution models that existed prior, with quiescent galaxies being detected more frequently than …
Product, Process, And Behavior Influences On Value Retention Processes: Toward A Circular Economy In Consumer Electronics, Kyle Parnell
Product, Process, And Behavior Influences On Value Retention Processes: Toward A Circular Economy In Consumer Electronics, Kyle Parnell
Theses
Consumer electronic products (CEP) manufacturing and retail contribute markedly to global industrial activity; worldwide estimates suggest revenue growth from $1 trillion in 2020 to $1.5 trillion by 2026. Consequently, the production, distribution, use, and end-of-life (EOL) disposition of these products are responsible for considerable social and environmental impacts, including 35 million metric tonnes of waste to landfill per year, 793 million metric tonnes (MMT)—and growing—of carbon dioxide-equivalent (CO2e) greenhouse gas (GHG) emissions per year, and innumerable adverse effects on human health and development. Driving these impacts are the inherent characteristics of CEPs themselves, which increasingly require critical materials in design, …
Ambient Environment Effect On Color Perception, Eddie Pei
Ambient Environment Effect On Color Perception, Eddie Pei
Theses
The ambient environment—including both background and surround conditions—is a critical factor influencing color perception. It affects not only how we perceive colors but also how we interpret complex visual scenes, impacting both sensory processing and cognitive interpretation. This thesis focuses on three major perceptual phenomena: simultaneous contrast, mixed chromatic adaptation, and color preference. First, the effects of simultaneous contrast on hue, chroma, and lightness in traditional displays were explored. This study was extended to a dual-display augmented reality (AR) environment that introduces layered perception. An extension to the CIECAM16 color appearance model is proposed to incorporate this effect. Second, the …
Advancing The Utility Of Unmanned Aerial Systems (Uas)-Based Imaging Techniques In Broadacre Agriculture: A Multimodal Case Study On Table Beets, Mohammad Shahriar Saif
Advancing The Utility Of Unmanned Aerial Systems (Uas)-Based Imaging Techniques In Broadacre Agriculture: A Multimodal Case Study On Table Beets, Mohammad Shahriar Saif
Theses
Efficient and sustainable food production and management are growing concerns in the context of an ever-increasing global population. It is in this context that the integration of remote sensing with advanced imaging technologies presents transformative opportunities for data-driven decision-making in agriculture. This study therefore explores the use of unmanned aerial systems (UAS) equipped with multispectral, hyperspectral, and LiDAR sensors for the non-destructive monitoring of table beet (Beta vulgaris) crop traits, with a specific focus on root yield estimation and foliar disease assessment. Table beet, a subterranean crop of increasing commercial and nutritional importance, poses unique challenges for above-canopy sensing due …
Analytics Of Capstone Projects: Understanding Outcomes Through People, Products, And Processes, Hrushikesh C. Godbole
Analytics Of Capstone Projects: Understanding Outcomes Through People, Products, And Processes, Hrushikesh C. Godbole
Theses
The capstone project is a bridge from the university to industry. During the project, students not only learn the process of integrating previously learned engineering concepts into an actual product but also practice essential professional skills such as communication, teamwork, and project delivery. How can universities ensure effective capstone student learning and good outcomes? To answer this question, the capstone project is studied as a system comprising of products, people, and processes. People refer to the students and instructors involved. Students develop products by following development processes. Instructors guide students using instruction processes. In educational context there limited control over …
Using Probabilistic Component Separation To Measure The Sunyaev-Zel’Dovich Effect In Herschel-Spire Galaxy Cluster Observations, Daniel Jeremy Klyde
Using Probabilistic Component Separation To Measure The Sunyaev-Zel’Dovich Effect In Herschel-Spire Galaxy Cluster Observations, Daniel Jeremy Klyde
Theses
Galaxy clusters evolve over cosmic history from small gravitational over-densities at redshift z > 7 to become the most massive gravitationally bound objects in the universe today. The demographics of galaxies populating clusters have shifted significantly over this time, from sites of intense star formation at z ~ 2-4, to largely quiescent objects in the current epoch. An important phase of this evolution involves the development of a hot, ionized intracluster medium (ICM). Its formation around cosmic noon overlaps with the peak in star formation, which requires a multi-wavelength observational approach to fully characterize. One way to study the properties of …
How Dust Impacts Galaxy Evolution In The Early Universe With Champs: Data Reduction And Source Detection, Felix Martinez
How Dust Impacts Galaxy Evolution In The Early Universe With Champs: Data Reduction And Source Detection, Felix Martinez
Theses
How dust impacts galaxy evolution in the early universe is largely unconstrained due to under sampling in the rest-frame far-IR. New detections of optically dark galaxies (galaxies that have no rest-frame optical counterparts) have shown that there is a population of galaxies that have largely gone undetected due to this under sampling. CHAMPS (PI: A. Faisst) is designed to study how dust impacts galaxy evolution in the early universe by complimenting MIRI and NIRCam observations from JWST in COSMOS-Web and PRIMER with new ALMA observations focused at 1.2 mm (ν = 250 GHz). This thesis presents the data reduction and …
Engineering Tunable Collagen Fiber Alignment Gradients To Quantify Contact Guidance Effects On Cell Migration, Indranil Mandar Joshi
Engineering Tunable Collagen Fiber Alignment Gradients To Quantify Contact Guidance Effects On Cell Migration, Indranil Mandar Joshi
Theses
Directional migration of cells is one of the most important physiological processes, necessary for tissue and organ development. It also plays a crucial role in pathological conditions such as cancer metastasis. This directed migration is influenced by various factors present in the native environment, which guide cells to migrate steadily in a specific direction. Due to its importance, over the years, a lot of emphasis has been placed on understanding and exploring the biochemical and biophysical factors that direct cell migration. In addition to the commonly studied biochemical and biophysical cues, contact guidance from collagen fibers, in the native matrix, …
An Investigation Of Active Inference For Reinforcement Learning Control, Xinyu Hu
An Investigation Of Active Inference For Reinforcement Learning Control, Xinyu Hu
Theses
This thesis investigates the application of active inference framework on different reinforcement learning (RL) tasks. We specifically consider the following OpenAI Gym environments: CartPole, MountainCar, and LunarLander. In this thesis, our primary goal is to explore whether active inference could provide better performance and stability compared to traditional RL methods. The proposed model consisted of three main components: a variational autoencoder (VAE) model to infer hidden states, a transition model predicting latent states, and a Double deep Q-network (Double DQN) as the actor selecting optimal actions. To achieve this, extensive experiments are carried out using grid searches across several hyperparameters, …
Design Of A 32-Bit 4-Phase Asynchronous Risc-V Processor, Sean Jacobs
Design Of A 32-Bit 4-Phase Asynchronous Risc-V Processor, Sean Jacobs
Theses
As microchips become more complex, smaller, and faster, the clock skew and power consumption present significant design challenges. Asynchronous circuits offer a solution to these issues by replacing the global clock routing with handshaking circuitry. This thesis details the implementation of an asynchronous 32-bit RISC-V processor leveraging 4-phase bundled data handshaking to replace the clock used for synchronization. Key contributions include the development of a 4-stage pipelined RISC-V compliant processor architecture adapted for asynchronous operation, the design of a custom 45nm C-element cell crucial for handshaking synchronization, and analysis of its performance in terms of area, timing, and power. This …
Design That Builds Communitites: An Evaluation Method For Analyzing, Assessing, And Improving The Way We Plan And Design The Places Around Us, Devine Karas-Gonzalez
Design That Builds Communitites: An Evaluation Method For Analyzing, Assessing, And Improving The Way We Plan And Design The Places Around Us, Devine Karas-Gonzalez
Theses
The places around us shape and impact on the way we interact and live within our communities. As such, it is important to place greater emphasis on designing spaces which are meant to better respond to the needs and functions of a place. With an architectural design process this will result in the use of design strategies which will inform much of the design. In this research, multiple design strategies (Smart Growth, Placemaking, Place Value, and Street Experiments) are evaluated and compared using four regionally similar cities to analyze and assess how the different strategies impact the design process by …
3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architecture And Material Characterization, Mohammad Ghazi Alshneeqat
3d Printing Of Short Fiber Reinforced Polypropylene: Novel Lattice Architecture And Material Characterization, Mohammad Ghazi Alshneeqat
Theses
This study explores the enhanced compressive behavior of 3D-printed single and double gyroid solid-networks lattices. Where the double gyroids are constructed from two intertwined single gyroid structures. These structures were designed by nTop implicit modeling tool and then fabricated by material extrusion additive manufacturing method at optimized printing parameters, including optimized nozzle temperature and raster angle. The main objective of this study is to reveal the compressive behavior of the novel double gyroid lattice structure and then to tailor its response through variable gyroid heights. Standard polymer tests were performed, considering thermogravimetric analysis, to confirm the thermal stability of the …
Digital Biophilia In Web Interface Design For Accessibility And User Well-Being, Bryana Michelle Peifer
Digital Biophilia In Web Interface Design For Accessibility And User Well-Being, Bryana Michelle Peifer
Theses
This interdisciplinary study explores the intersection between horticultural therapy and web design, focusing on the impact of biophilic design principles in shaping contemporary practices within digital interface design. This exploration addresses the multifaceted relationship between humanity and the natural world, particularly how this connection serves as a source for the emergence of nature-inspired elements in digital expressions and their subsequent integration into modern web design for accessibility and well-being. As digital environments increasingly dominate daily experiences, the need for digital wellness through nature integration has become critical, especially for individuals who have physical disabilities, limited mobility, or limited access to …
Using Equivalence-Based Instruction And Behavioral Skills Training To Teach Social Skills, Alexander Orzeck
Using Equivalence-Based Instruction And Behavioral Skills Training To Teach Social Skills, Alexander Orzeck
Theses
Social skills are an integral part of human life, so it stands to reason that teaching methodologies should be developed to instruct people in this complex topic. One method to teach social skills has been behavioral skills training, in which the four-step sequence of vocal and written instruction, modeling, roleplay, and feedback exposes learners to the social concepts until a mastery criterion is reached. Skills relevant to socialization have also been taught with equivalence-based instruction, in which the concept of stimulus equivalence is employed to generate novel relations between stimuli for the purpose of teaching some skill. No instance was …
Structure/Property/Processing Of Covalent Adaptable Networks Bearing Hindered Urea Bonds, Kory Schimmelpfennig
Structure/Property/Processing Of Covalent Adaptable Networks Bearing Hindered Urea Bonds, Kory Schimmelpfennig
Theses
Dynamic covalent chemistry provides the functional basis for the efficient and reliable exchange of reversible binding groups which enable self-repair thus avoiding structural impairment or permanent damage of material properties. Covalent adaptable networks (CANs) have garnered attention for the sustainable development of polymers capable of mending damages thus facilitating eco-friendly recyclability. This work aims to address the role of reaction pathway and manufacturing process on the subsequent properties of CANs bearing hindered urea bonds (HUBs). HUBs have proven easy to incorporate into polymers and exhibit moderate temperature thermo-reversibility and creep resistance. In this investigation we study the effects of preparing …
Enhancement Of Ultrasonic Welding Of Bulk Carbon Nanotube-Metallic And Graphene-Metallic Conductors, Daniel L. Broderick
Enhancement Of Ultrasonic Welding Of Bulk Carbon Nanotube-Metallic And Graphene-Metallic Conductors, Daniel L. Broderick
Theses
Nanostructured carbon sheets comprising carbon nanotube (CNT) or graphene are appealing for electrode and antenna applications. Physical connection to metal conductors requires enhanced mechanical strength, electrical performance, and thermal capability. Ultrasonic welding is a viable technique to fabricate stable and robust bonds but requires methods to further reduce electrical resistance and improve mechanical strength. The present dissertation has advanced ultrasonic welding between bulk CNT electrodes and Cu foil by utilizing chemically doped junctions at the bond interface. Specifically, a selective doping strategy using KAuBr4 at the bonding regions between bulk CNT electrodes and Cu lowers the electrical contact resistance measured …
Critical Black Expressionism: A Womanist Manifesto, Rolanda Jw Spencer
Critical Black Expressionism: A Womanist Manifesto, Rolanda Jw Spencer
Theses
This thesis introduces Critical Black Expressionism (CBE) as a visual, spiritual, and intellectual methodology rooted in Black feminist traditions, ancestral knowledge systems, and artistic practice. Grounded in womanist theory and decolonial inquiry, the central argument asserts that Black women’s lived experiences, cultural memory, and spiritual cosmologies constitute a rigorous and sovereign framework for artmaking. Rather than borrowing from Eurocentric pedagogies, this approach draws from oral traditions, sacred ritual, and master-apprentice models that have long existed within African and African American communities. The Iyami Aje: Mothers + Witches collection is the visual embodiment of this research. Composed of multimedia sculptures, altar-based …
A Web Application For Generating Argument Maps For Essays Using Llms, Alexis R. Chalmers
A Web Application For Generating Argument Maps For Essays Using Llms, Alexis R. Chalmers
Theses
Argumentative writing is a critical skill that strengthens students’ reasoning, communication, and analytical abilities. However, maintaining a clear and organized argument structure while writing can be challenging. Argument maps — visual diagrams which explicitly show an argument’s structure — have been shown to improve students’ writing, but are rarely used outside of the planning stage of an essay due to the time and effort required to create them. Automatically generating argument maps from student essays helps students to evaluate the structure of their argument as they write and makes identifying unsupported claims visible. To evaluate whether large language models (LLMs) …