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Mail Ballot Signature Rejections: Household Members Signing Each Other's Ballots, Craig Wilding Dec 2021

Mail Ballot Signature Rejections: Household Members Signing Each Other's Ballots, Craig Wilding

Electronic Theses and Dissertations, 2020-2023

Election administrators anecdotally mention that many ballots get signed by someone else in the household, such as the husband signing the wife's ballot. If household members are signing each other's ballots mistakenly, then there should be a rise in mismatched signatures as the number of people in the household increases. By matching household addresses of registered voters and the addresses that ballots were mailed to from the 2020 Florida general election, the study found that the probability of a signature mismatch did increase as the number of household members increased. While the data showed that black and Hispanic households have …

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Using A Data Based Coaching Model To Support Novice Teachers In Inclusive Classrooms, Timara Davis Dec 2021

Using A Data Based Coaching Model To Support Novice Teachers In Inclusive Classrooms, Timara Davis

Electronic Theses and Dissertations, 2020-2023

The inclusion of students with disabilities in the general education classroom has changed over time. Teachers in inclusive classrooms need the skills to teach all students, including students with disabilities. The National Center for Learning Disabilities (NCLD; 2019) reported in a survey of over 1500 general education teachers, only 17% noted they were well prepared to teach students with disabilities. A gap of in content knowledge exists between general and special education teacher preparation (Fonte et al., 2017) and the outcomes of students depends on the knowledge of the teacher (Burroughs et al, 2019). Lack of preparation of general education …

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Distributed And Optimal State Estimation For Heterogeneous Dynamic Systems Operating Within A Strongly Connected Network, Matthew Howard Dec 2021

Distributed And Optimal State Estimation For Heterogeneous Dynamic Systems Operating Within A Strongly Connected Network, Matthew Howard

Electronic Theses and Dissertations, 2020-2023

This dissertation is aimed at developing optimal and distributed state estimation algorithms for a team of cooperating nodes with the goal of improving accuracy through local sharing of relevant information. The nodes are assumed to be individually equipped with heterogeneous sensors for measuring a common target which can be dynamic and time-varying. Additionally, the nodes are assumed to be connected through a dynamically changing communication network modeled as a sequence of strongly connected digraphs allowing for local communication and distributed interactions. Using the data sharing afforded by the communication network, a weighted average state estimate consensus can be found across …

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Quantifiability: Concurrent Correctness From First Principles, Victor Cook Dec 2021

Quantifiability: Concurrent Correctness From First Principles, Victor Cook

Electronic Theses and Dissertations, 2020-2023

Architectural imperatives due to the slowing of Moore's Law, the broad acceptance of relaxed semantics and the O(n!) worst case verification complexity of sequential histories motivate a new approach to concurrent correctness. Desiderata for a new correctness condition are that it be independent of sequential histories, compositional over objects, flexible as to timing, modular as to semantics and free of inherent locking or waiting. This dissertation proposes Quantifiability, a novel correctness condition based on intuitive first principles. Quantifiablity is formally defined with its system model. Useful properties of quantifiability such as compositionality, measurablility and observational refinement are demonstrated. Quantifiability models …

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Synthesis Methodologies For Robust And Reconfigurable Clock Networks, Necati Uysal Dec 2021

Synthesis Methodologies For Robust And Reconfigurable Clock Networks, Necati Uysal

Electronic Theses and Dissertations, 2020-2023

In today's aggressively scaled technology nodes, billions of transistors are packaged into a single integrated circuit. Electronic Design Automation (EDA) tools are needed to automatically assemble the transistors into a functioning system. One of the most important design steps in the physical synthesis is the design of the clock network. The clock network delivers a synchronizing clock signal to each sequential element. The clock signal is required to be delivered meeting timing constraints under variations and in multiple operating modes. Synthesizing such clock networks is becoming increasingly difficult with the complex power management methodologies and severe manufacturing variations. Clock network …

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Human Behavior In Domestic Environments: Prediction And Applications, Sharare Zehtabian Dec 2021

Human Behavior In Domestic Environments: Prediction And Applications, Sharare Zehtabian

Electronic Theses and Dissertations, 2020-2023

A longstanding goal of human behavior science is to model and predict how humans interact with each other or with other systems. Such models are beneficial and have many applications, including designing and implementing assistive technologies, improving users' experiences and quality of life and making better decisions to create public policies. Behavior is highly complex due to uncertainties and a lack of scientific tools to measure it. Hence prediction of human behavior cannot be 100% accurate. However, prediction is also not hopeless because the biological needs, as well as cultural conventions (for instance, regarding meal times) set the general patterns …

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Framework Of Big Data Analytics In Real Time For Healthcare Enterprise Performance Measurements, Ahmed Mohamed Dec 2021

Framework Of Big Data Analytics In Real Time For Healthcare Enterprise Performance Measurements, Ahmed Mohamed

Electronic Theses and Dissertations, 2020-2023

Healthcare organizations (HCOs) currently have many information records about their patients. Yet, they cannot make proper, faster, and more thoughtful conclusions in many cases with their information. Much of the information is structured data such as medical records, historical data, and non-clinical information. This data is stored in a central repository called the Data Warehouse (DW). DW provides querying and reporting to different groups within the healthcare organization to support their future strategic initiatives. The generated reports create metrics to measure the organization's performance for post-action plans, not for real-time decisions. Additionally, healthcare organizations seek to benefit from the semi-structured …

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A Framework For The Design And Characterization Of Advanced Gaskets, Sannmit Shinde Dec 2021

A Framework For The Design And Characterization Of Advanced Gaskets, Sannmit Shinde

Electronic Theses and Dissertations, 2020-2023

Most industrial manufacturing or processing plants use bolted connections between pipes that transfer media from one location to another. Gaskets are often used to seal these systems as they offer elevated levels of leak mitigation; however, despite their nearly universal usage, the current understanding of gasket mechanics at the meso-scale is still limited. Contemporary gaskets feature viscoelastic materials, fillers, textures, and are fabricated at various thicknesses. They are used in a wide range of thermal, mechanical, chemical, and temporal conditions. The current work characterizes polytetrafluoroethylene (PTFE) gaskets made with several different filler materials and having vastly different geometries. The chemically …

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On Mode Transition Phenomenon And Operating Conditions In Rotating Detonation Rocket Engines, Taha Rezzag-Lebza Dec 2021

On Mode Transition Phenomenon And Operating Conditions In Rotating Detonation Rocket Engines, Taha Rezzag-Lebza

Electronic Theses and Dissertations, 2020-2023

The work presented herein consist of first studying the instantaneous properties of the detonation waves in a rotating detonation rocket engine by tracking each individual wave and recording its position, velocity, and peak intensity as it travels around the annulus. Results for a steady portion of a test performed on a rotating detonation rocket engine show that the wave properties exhibit oscillatory behavior. Results obtained from the rotating detonation rocket engine show that the properties are highly dependent on the azimuthal position. In an attempt to understanding the cause of such a behavior, similar investigations were performed on an air-breathing …

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"Clothes Make Men": Clothing And The Embodiment Of Gender In Virginia, 1750-1775, Rhiannon O'Neil Dec 2021

"Clothes Make Men": Clothing And The Embodiment Of Gender In Virginia, 1750-1775, Rhiannon O'Neil

Electronic Theses and Dissertations, 2020-2023

This study explores how late colonial Virginians used clothing to control, enforce, and negotiate gender. Gender, both as a system of power and as a category of social identity, became linked with the material forms of clothing that Virginians wore in their everyday lives. The identification of clothing with the body enabled Virginians to actively make choices about how to perform themselves to the wider culture of observation and perception present in the colony. Dress was ubiquitous, but its meanings were variable, changing, and unstable. In eighteenth-century Virginia, Anglo-descended colonists imported ideals from Britain, which then produced Chesapeake-specific gender relationships, …

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Optimal Feature Learning For Facial Expression Recognition, Kamran Ali Dec 2021

Optimal Feature Learning For Facial Expression Recognition, Kamran Ali

Electronic Theses and Dissertations, 2020-2023

A great deal of research has been done to improve the performance of Facial Expression Recognition (FER) algorithms, but extracting optimal features to represent expressions remains a challenging task. The biggest drawback is that most work on FER ignores the inter-subject variations in facial attributes of individuals present in data. Hence, the representation extracted for the recognition of expressions is polluted by identity-related features that negatively affect the generalization capability of a FER technique on unseen identities. To overcome the effect of subject-identity bias, previous research shows the effectiveness of extracting identity-invariant expression features for FER. However, most of those …

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Studying Users Interactions And Behavior In Social Media Using Natural Language Processing, Sultan Alshamrani Dec 2021

Studying Users Interactions And Behavior In Social Media Using Natural Language Processing, Sultan Alshamrani

Electronic Theses and Dissertations, 2020-2023

Social media platforms have been growing at a rapid pace, attracting users' engagement with the online content due to their convenience facilitated by many useful features. Such platforms provide users with interactive options such as likes, dislikes as well as a way of expressing their opinions in the form of text (i.e., comments). As more people engage in different social media platforms, such platforms will increase in both size and importance. This growth in social media data is becoming a vital new area for scholars and researchers to explore this new form of communication. The huge data from social media …

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Machine Learning Techniques For Topic Detection And Authorship Attribution In Textual Data, Fereshteh Jafariakinabad Dec 2021

Machine Learning Techniques For Topic Detection And Authorship Attribution In Textual Data, Fereshteh Jafariakinabad

Electronic Theses and Dissertations, 2020-2023

The unprecedented expansion of user-generated content in recent years demands more attempts of information filtering in order to extract high-quality information from the huge amount of available data. In this dissertation, we begin with a focus on topic detection from microblog streams, which is the first step toward monitoring and summarizing social data. Then we shift our focus to the authorship attribution task, which is a sub-area of computational stylometry. It is worth mentioning that determining the style of a document is orthogonal to determining its topic, since the document features which capture the style are mainly independent of its …

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The Elderly Voter As Collateral Damage: The Consequences Of Voter Restriction On Elderly American Voter Turnout, Mia Warshofsky Dec 2021

The Elderly Voter As Collateral Damage: The Consequences Of Voter Restriction On Elderly American Voter Turnout, Mia Warshofsky

Electronic Theses and Dissertations, 2020-2023

Voting is an indispensable feature of American democracy. Voting amplifies the voice of the electorate. Not voting disempowers individuals and communities. Despite protective legislation such as the Voting Rights Act of 1965, many Americans experience electoral difficulties today. Following record-breaking turnout in the 2020 presidential election and under the guise of election security, some Republican lawmakers have introduced and supported legislation that restricts the ability of many Americans to vote. Research on communities of color, low-income communities, and disabled communities demonstrates the inhibitive effect of these measures. In contrast, conventional wisdom claims that older voters are more likely to vote …

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Using Iphone Significant Location Data To Improve Air Pollution Exposure Estimation, Elizabeth Eastman Dec 2021

Using Iphone Significant Location Data To Improve Air Pollution Exposure Estimation, Elizabeth Eastman

Electronic Theses and Dissertations, 2020-2023

An accurate estimation of human exposure to ambient air pollution is crucial for air pollution health studies. Time-activity patterns may introduce substantial uncertainties in exposure estimation. As smartphones are becoming increasingly popular and their ownership is becoming ubiquitous in the US. Virtually all smartphones can collect location data, and such data is continuously somewhere. Therefore, it is clear that such stored location data has the potential to be used for characterizing an individual's time-activity patterns for air pollution health studies. However, studies on the accuracy and feasibility of using a smartphone's location data in air pollution exposure estimation are still …

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Utilizing High Throughput Computing Techniques For The Predictions Of Spectroscopic Properties Of Astrophysically Relevant Molecules, Brian Ferrari Dec 2021

Utilizing High Throughput Computing Techniques For The Predictions Of Spectroscopic Properties Of Astrophysically Relevant Molecules, Brian Ferrari

Electronic Theses and Dissertations, 2020-2023

Here, we utilize Quantum Chemistry (QC) approaches to predict the structures, vibrational frequencies, infrared intensities and Raman activities of unusual molecular species using the General Atomic and Molecular Structure System (GAMESS(US)) package. A Python-based software, AutoGAMESS, was developed to automate the workflow and take advantage of High Throughput Computing (HTC) techniques enabling the automated generation of spectroscopic data from hundreds of calculations. This approach was utilized to determine these properties for a series of carbon oxides (C2On; n = 3 to 4), anticipated to be produced during the radiation of pure carbon dioxide ices, under conditions relevant to the interstellar …

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High Spectral Brightness, Broad Area Quantum Cascade Lasers, Enrique Sanchez Cristobal Dec 2021

High Spectral Brightness, Broad Area Quantum Cascade Lasers, Enrique Sanchez Cristobal

Electronic Theses and Dissertations, 2020-2023

Quantum cascade lasers are unipolar semiconductor lasers that offer a unique combination of compact size, high efficiency, high optical power, and flexibility to achieve a targeted emission wavelength with the same laser core material composition, employing so-called bandgap engineering. Since their invention in 1994, watt-level CW power with 5 to 20 % wallplug efficiency was demonstrated for QCLs throughout the entire 4 to 12 µm range, which makes QCLs very attractive for a number of practical applications. Our earlier work on broad-area QCLs emitting in the 4.6 µm to 5.7 µm spectral range demonstrated that CW power scaling with lateral …

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Anomaly Detection And Failure Prediction In Gas Turbines, Vipul Goyal Dec 2021

Anomaly Detection And Failure Prediction In Gas Turbines, Vipul Goyal

Electronic Theses and Dissertations, 2020-2023

This study is based on time-series data taken from the combined cycle heavy-duty utility gas turbines. For analysis, first, a multi-stage vector autoregressive model is constructed for the nominal operation of powerplant assuming sparsity in the association among variables, and this model is used as a basis for anomaly detection and prediction. This prediction is compared with the time-series data of the powerplant test data containing anomalies. Granger causality networks, which are based on the associations between the time series streams, can be learned as an important implication from the vector autoregressive modelling. This method suffers from the disadvantage that …

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Wavelet Particle Hydrodynamics For Less Smooth Flow, Oddny Brun Dec 2021

Wavelet Particle Hydrodynamics For Less Smooth Flow, Oddny Brun

Electronic Theses and Dissertations, 2020-2023

The purpose of this research was to improve the smoothing operation in smoothed particle hydrodynamics, SPH, when the flow of matter is not smooth. Our main focuses are on the kernel selection, identifying the discontinuities in the sequences to be smoothed, and use of the Laplacian as opposed to artificial viscosity for improved physical accuracy. The results show that alternative kernels result in differences in how matter flows. These effects are explained by the kernels' gradient and Laplacian properties. Five alternative kernels were included in our analysis and our SPH-based simulation cases. Further, the sequences to be smoothed by the …

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The Potential Of Location Data For Contact Tracing And Understanding Individual Mobility During The Covid-19 Pandemic, Marcus Figaro Dec 2021

The Potential Of Location Data For Contact Tracing And Understanding Individual Mobility During The Covid-19 Pandemic, Marcus Figaro

Electronic Theses and Dissertations, 2020-2023

In this study, we first review contact tracing methods used during the COVID-19 pandemic and provide an analysis of the benefits and drawbacks of different data collection and privacy protection methods. Our findings provide the benefits and drawbacks of using GPS versus Bluetooth for contact tracing, as well as the different data collection and storage methods and their effectiveness in protecting user privacy. We then analyze Twitter data to understand individual mobility behavior and sentiment by using a Natural Language Processing tool on text content of user tweets and Tweet coordinate data. Social media's ability to provide data on location …

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The 'Ideal Victim' Of Intimate Partner Violence Against Women: An Examination Of The Impact Of Victim/Offender Relationship Status, Victim Self-Identity, And Observer Gender On Constructing Victim Status, Kelli Dauphinais Dec 2021

The 'Ideal Victim' Of Intimate Partner Violence Against Women: An Examination Of The Impact Of Victim/Offender Relationship Status, Victim Self-Identity, And Observer Gender On Constructing Victim Status, Kelli Dauphinais

Electronic Theses and Dissertations, 2020-2023

Guided by Nils Christie's (1986) Ideal Victim framework, the current study examines the effect that victim/offender relationship status (casual vs. serious), victim self-identity (as a "victim" or a "survivor"), and observer gender (woman vs. man) have on victim blame attributions. Data were collected from 329 adult students at a large public university in the Southwest United States using an online, experimental vignette design. Three separate one-way analysis of variances (ANOVAs) were conducted to test the study's three hypotheses. Results suggest that among the study sample, victim/offender relationship status (H1) and victim self-identity (H2) do not significantly affect victim blame attribution …

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Optimizing Mixed Reality Simulation To Support Stem Graduate Teaching Assistants In Developing Student-Centered Pedagogical Skills, Constance Doty Dec 2021

Optimizing Mixed Reality Simulation To Support Stem Graduate Teaching Assistants In Developing Student-Centered Pedagogical Skills, Constance Doty

Electronic Theses and Dissertations, 2020-2023

Physics graduate teaching assistants (GTA) often instruct student-centered lab and recitation sections at large universities, creating the opportunity to positively impact students. However, as STEM GTA professional development varies by institution and discipline, GTAs rarely receive feedback about their teaching. In K-12 teacher preparation, "microteaching", where a teacher teaches a lesson to peers acting as students, is used to provide feedback. Research has demonstrated benefits to microteaching in K-12 teacher and STEM GTA preparation, but practicing teachers find microteaching can lack authenticity. Recently, researchers have explored integrating technology, like simulation, in pedagogy training to provide a more authentic training experience. …

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Enhancement And Evaluation Of An Online Module On Functional Behavior Assessment Using Universal Design For Learning, Sacha Cartagena Dec 2021

Enhancement And Evaluation Of An Online Module On Functional Behavior Assessment Using Universal Design For Learning, Sacha Cartagena

Electronic Theses and Dissertations, 2020-2023

The purpose of this study was to evaluate the effectiveness of UDL-based enhancements of an online module on functional behavior assessment. The UDL framework is an instructional design framework designed to enhance access, engagement, and learning using three overarching principles: multiple means of engagement, multiple means of representation, and multiple means of action and expression. The researcher utilized a two-group randomized control trial (RCT) with pre- and posttest measures. The control group completed a publicly available module on functional behavior assessment while the intervention group completed an enhanced version of the same module. Results demonstrate that both the intervention and …

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Creasing Of Polyimide Thin Film For Use In Solar Sails, Andrew Allen Dec 2021

Creasing Of Polyimide Thin Film For Use In Solar Sails, Andrew Allen

Electronic Theses and Dissertations, 2020-2023

Polymer thin membranes are used in a variety of deployable structures that require large areas and compact stowage. Packaging membrane structures often involves creasing the membrane along predefined fold lines to enforce the desired kinematics under folding action. Inducing permanent deformation by folding to a high curvature is a common method to create creases, particularly in the design of solar sails. The distinct mechanical characteristics at the crease regions have a profound effect on the subsequent deployment and tensioning of the membrane structures. The mechanical and geometric properties at the crease are related to the crease formation process, but the …

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How Does A Veteran Teacher Implement A Prekindergarten Math Curriculum?, Heidi Butterfield Dec 2021

How Does A Veteran Teacher Implement A Prekindergarten Math Curriculum?, Heidi Butterfield

Electronic Theses and Dissertations, 2020-2023

The purpose of this study was to explore how a veteran teacher implemented a state-approved commercial math curriculum in a prekindergarten classroom. In this action research study, guided by ethnographic principles, I employed Spradley's (2016) developmental research sequence to study what resources from the curriculum the teacher used, how the teacher adapted the curriculum, and what influenced the decisions the teacher made while implementing the curriculum. Data collected for this study included: the teacher guide provided by the commercial curriculum; teacher lesson plans; photographs of student created artifacts; the teacher's reflection journal and notes; and videos of a teacher implementing …

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Tailoring Of The Left Ventricular Assist Device Cannula Implantation Using Coupled Multi-Scale Multi-Objective Patient Specific Optimization., Abubakar Dankano Dec 2021

Tailoring Of The Left Ventricular Assist Device Cannula Implantation Using Coupled Multi-Scale Multi-Objective Patient Specific Optimization., Abubakar Dankano

Electronic Theses and Dissertations, 2020-2023

Despite advancements in device design and anti-coagulation treatments, there are numerous adverse events that may occur following implantation of LVADs. The most devastating involves the embolization of thrombus into the brain causing a stroke, with incidence of up to 14-47% over a 6–12-month period. This study aims to elucidate ways to reduce this risk by surgical maneuvers guided by a multi-scale computational fluid dynamics analysis wrapped around a multi-objective shape optimization scheme which optimizes the anastomosis location of the VAD outflow graft (OG) along the ascending aorta to minimize the incidence of thrombi reaching the cerebral vessels and reduce particle …

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Capsule Networks For Video Understanding, Kevin Duarte Dec 2021

Capsule Networks For Video Understanding, Kevin Duarte

Electronic Theses and Dissertations, 2020-2023

With the increase of videos available online, it is more important than ever to learn how to process and understand video data. Although convolutional neural networks have revolutionized the representation learning from images and videos, they do not explicitly model entities within the given input. It would be useful for learned models to be able to represent part-to-whole relationships within a given image or video. To this end, a novel neural network architecture - capsule networks - has been proposed. Capsule networks add extra structure to allow for the modeling of entities and has shown great promise when applied to …

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Change Sustainment Model (Csm) To Address Industry 4.0 In A Classified Environment, Hamilton Ervin Dec 2021

Change Sustainment Model (Csm) To Address Industry 4.0 In A Classified Environment, Hamilton Ervin

Electronic Theses and Dissertations, 2020-2023

Business and engineering have long intersected with each other in industry. In actuality, they are inseparable. That notion drove the thought process and actions taken to observe phenomena within a U.S. Fortune 500, Aerospace & Defense industry, Department of Defense, independent contractor. In Aerospace & Defense, the ability to implement technology freely and change to address an ever-evolving technological landscape in the world has proven to be difficult given the nature of the work performed. U.S. national security must be protected at all times, therefore information sharing guided by a "need-to-know" basis create an inability to easily implement organizational change …

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An Exploratory Investigation Of Grit And Its Relationship To Student Integration In Athletic Training Education Programs, Carlos Gual Dec 2021

An Exploratory Investigation Of Grit And Its Relationship To Student Integration In Athletic Training Education Programs, Carlos Gual

Electronic Theses and Dissertations, 2020-2023

Students must enroll in rigorous accredited academic programs and pass the National Board of Certification (BOC) examination to become athletic trainers. Therefore, studies in athletic training and student achievement focus on student persistence/retention and BOC Examination pass rates. The majority of studies conclude that cognitive measures like grade point average (GPA) have a relationship with both retention and exam pass rates. However, research should also consider meta-cognitive factors (i.e., personality traits). The purpose of this study was to examine the relationship between athletic training students' grit (a metacognitive factor) and their academic, clinical, and social integration. The population for this …

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Topology Optimization Of Internal Cooling Channels In Turbulent Flows, Shinjan Ghosh Dec 2021

Topology Optimization Of Internal Cooling Channels In Turbulent Flows, Shinjan Ghosh

Electronic Theses and Dissertations, 2020-2023

Topology optimization, introduced by Bendsoe and Sigmund in 1988 has been a topic of research in the structural mechanics field for several decades. This technique is commonly used to optimize system performance of structural components with minimum material usage by varying the distribution of materials in a given domain. Fluid dynamic topology optimization, a relatively new research topic uses a method of adding or subtracting materials to a given flow domain to obtain an optimal flow-path for a given objective function. While the structural TO creates a solid structure by introducing holes into the domain, fluid TO introduces solid into …

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