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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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Efficient Data Structures For Text Processing Applications, Paniz Abedin Dec 2021

Efficient Data Structures For Text Processing Applications, Paniz Abedin

Electronic Theses and Dissertations, 2020-2023

This thesis is devoted to designing and analyzing efficient text indexing data structures and associated algorithms for processing text data. The general problem is to preprocess a given text or a collection of texts into a space-efficient index to quickly answer various queries on this data. Basic queries such as counting/reporting a given pattern's occurrences as substrings of the original text are useful in modeling critical bioinformatics applications. This line of research has witnessed many breakthroughs, such as the suffix trees, suffix arrays, FM-index, etc. In this work, we revisit the following problems: 1. The Heaviest Induced Ancestors problem 2. …

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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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Understanding The Behavior Of The Covid-19 Pandemic Using Data Analytics, Mohammad Reza Davahli Dec 2021

Understanding The Behavior Of The Covid-19 Pandemic Using Data Analytics, Mohammad Reza Davahli

Electronic Theses and Dissertations, 2020-2023

In December 2019, China announced the breakout of a new virus identified as coronavirus SARS-CoV-2 (COVID-19), which soon grew exponentially and became a global pandemic. Despite strict actions to mitigate the spread of the virus in various countries, the COVID-19 pandemic resulted in a significant loss of human life in 2020 and 2021. To better understand the pandemic, this doctoral research incorporated data analytics to evaluate the behavior and impacts of the virus. The doctoral research contributed to the scientific body of the knowledge in different ways including (1) presenting a systematic literature review of current research and topics about …

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Structural Dynamics And Encapsulation Properties Of Polyelectrolyte Complex Micelles, Sachit Shah Dec 2021

Structural Dynamics And Encapsulation Properties Of Polyelectrolyte Complex Micelles, Sachit Shah

Electronic Theses and Dissertations, 2020-2023

Charged therapeutics such as nucleic acids and proteins can treat a vast range of human diseases that are traditionally undruggable. Their broadness in treating disease is due to their ability to influence cellular function. However, their high charge density and physiological barriers such as enzymatic degradation, hinder the deliverability of these molecules to the sites of disease. Polyelectrolyte complex (PEC) micelles are core-corona nanostructures that can encapsulate charged molecules and offer a platform for delivery. PECs form the core, when two oppositely charged polyelectrolytes are mixed in an aqueous solution, and the micelle corona is a neutral hydrophilic polymer that …

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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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Storm: An Exploration Of Home Through Painterly Animation, Kirstin Hardin Dec 2021

Storm: An Exploration Of Home Through Painterly Animation, Kirstin Hardin

Electronic Theses and Dissertations, 2020-2023

Storm is an animated short film that follows a family of Florida Sandhill Cranes. The family experiences a storm that destroys their nest and separates them from their smallest chick. The reunion of the cranes, at the end of the film, symbolizes that the sense of home consists of the members of the family, and not the physical place. The film combines digital two-dimensional (2D) animation with traditional paint on glass animation to create visual contrast between the cranes and the storm. The stylistic choices that I have made include showcasing paint strokes, going with a lineless and painterly animation …

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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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Effect Of Various Speed Management Strategies On Bicycle Crashes For Urban Roads In Central Florida, Jorge Ugan Dec 2021

Effect Of Various Speed Management Strategies On Bicycle Crashes For Urban Roads In Central Florida, Jorge Ugan

Electronic Theses and Dissertations, 2020-2023

In recent years, cycling has become an increasingly popular transportation mode around the world. In contrast to other popular modes of transportation, cycling is more economic and energy efficient. While many studies have been conducted for the bicycle safety analysis, most of them were limited in terms of bicycle exposure data and on-street data. This study tries to improve the current safety performance functions for bicycle crashes at urban corridors by utilizing crowdsource data from STRAVA and on-street speed management strategies data. Speed management strategies are any roadway alterations that causes a change in motorists' driving behavior. In Florida, these …

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Spectral Dependence Of Deep Subwavelength Metallic Apertures In The Mid-Wave Infrared, Heath Gemar Dec 2021

Spectral Dependence Of Deep Subwavelength Metallic Apertures In The Mid-Wave Infrared, Heath Gemar

Electronic Theses and Dissertations, 2020-2023

For two decades, extraordinary optical transmission (EOT) has amplified exploration into subwavelength systems. Researchers have previously suggested exploiting the spectrally selective electromagnetic field confinement of subwavelength cavities for multispectral detectors. Utilizing the finite-difference frequency domain (FDFD) method, we examine electromagnetic field confinement in both 2-dimensional and 3-dimensional scenarios from 2.5 to 6 microns (i.e., mid-wave infrared or MWIR). We explore the trade space of deep subwavelength cavities and its impact on resonant enhancement of the electromagnetic field. The studies provide fundamental understanding of the coupling mechanisms allowing for prediction of resonant spectral behavior based on cavity geometry and material properties. …

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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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Using Lidar To Locate Indigenous Mound Structures Along The St. Johns River In The Ocala National Forest, Taylor Collore Dec 2021

Using Lidar To Locate Indigenous Mound Structures Along The St. Johns River In The Ocala National Forest, Taylor Collore

Electronic Theses and Dissertations, 2020-2023

The Indigenous people of Florida terraformed the region's relatively flat landscape into monumental vantage points for residence, burial, and displays of regional power. Known as mound structures today, these long-abandoned sites are now obscured by dense vegetation and thick tree canopies making their rediscovery difficult. Using Light Detection and Ranging (LiDAR) technology these lost sites can be located remotely for protection and study. In this research, LiDAR is used to locate Indigenous mound sites along the St. Johns River within the Ocala National Forest. Using free an open source geographic information systems (GIS) and similar software, LiDAR point cloud data …

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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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Assessment Of Leadership Styles And Lean Six Sigma Critical Success Factors In The Aerospace And Defense Industry, Corey Gellis Dec 2021

Assessment Of Leadership Styles And Lean Six Sigma Critical Success Factors In The Aerospace And Defense Industry, Corey Gellis

Electronic Theses and Dissertations, 2020-2023

The Aerospace and Defense industry has shifted into a global competitive market that is prioritizing innovative advancements in technological capabilities. Corporations are now having to further develop customer focused strategies based in adding value while reducing costs. Large manufacturing corporations often embrace continuous improvement methodologies, such as Lean Six Sigma, for process improvement. Many organizations have received minimal benefit from the methodology which may link back to leadership and culture. This research examined which styles of leadership are most effective when trying to gain the most value from Lean Six Sigma within manufacturing. The research study surveyed 112 black belt …

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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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Difficult History Education Via Design-Based Research: Teaching Historical Empathy Using Lucie Aubrac And The French Resistance As A Case Study, Sahar Eissa Dec 2021

Difficult History Education Via Design-Based Research: Teaching Historical Empathy Using Lucie Aubrac And The French Resistance As A Case Study, Sahar Eissa

Electronic Theses and Dissertations, 2020-2023

Technology-enhanced learning environments (TELEs) are educational tools that enable students to acquire knowledge, improving the quality of their educational experience. Educators face many challenges when teaching difficult histories about French resisters in World War II, such as Lucie Aubrac. Resisters' histories include deep emotions, choices, and hard decisions. There is a need for a new approach for teaching these topics and designing innovative digital tools to encourage educators and students to explore them. The current study designs and evaluates a TELE to teach difficult history via a historical empathy approach that engages students with difficult histories and provides them with …

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The Effect Of The Medilepsy Mobile App On Medication Adherence And Transition Readiness In Adolescents And Young Adults With Epilepsy, Michelle Tall Dec 2021

The Effect Of The Medilepsy Mobile App On Medication Adherence And Transition Readiness In Adolescents And Young Adults With Epilepsy, Michelle Tall

Electronic Theses and Dissertations, 2020-2023

Medication nonadherence and lack of transition readiness are global challenges for individuals living with epilepsy and their families. Medication adherence measures the level of compliance with healthcare providers' treatment recommendations. Transition readiness is the gradual steps patients take to develop independence and self-management as they transfer from pediatric to adult healthcare models. Factors impacting medication adherence and transition readiness skills include developmental stage/age; forgetfulness; family/caregivers; socioeconomic status; knowledge/attitude about the disease; side effects; number of medications; and subjective and objective quantifications of adherence. One promising intervention for patients and families is mobile technology used for reaching, teaching, and communicating. However, …

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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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Nonlinear Light-Matter Interactions In Novel Crystals For Broadband Mid-Infrared Generation, Taiki Kawamori Dec 2021

Nonlinear Light-Matter Interactions In Novel Crystals For Broadband Mid-Infrared Generation, Taiki Kawamori

Electronic Theses and Dissertations, 2020-2023

Mid-infrared (MIR) laser sources have demonstrated diverse applications in science and technology. For spectroscopy applications, numerous molecules have unique absorption features in this range, and one needs a spectrally broad coherent laser source for parallel detection of mixtures of species. Frequency down-conversion in nonlinear optical materials via second-order nonlinear susceptibility is one of the promising techniques to generate the spectral coverage of more than an octave in the MIR, assisted by emerging novel crystals. The nonlinear light-matter interactions in such special crystals as ZnSe ceramics have not been analyzed. Additionally, through the use of high-intensity few-cycle optical pulses, high-order nonlinear …

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Communities Of Play And Practice: Collaborating With Audiences And Coworkers In Performative Online Spaces, Paul Oppold Dec 2021

Communities Of Play And Practice: Collaborating With Audiences And Coworkers In Performative Online Spaces, Paul Oppold

Electronic Theses and Dissertations, 2020-2023

This study describes an ethnographic investigation of Communities of Play within Communities of Practice. As professional 'content creators', whose 'work' is 'play', are increasingly interacting with non-professional content consumers, whose 'play' is a kind of 'work', the barriers between 'work' and 'play' are increasingly dissolving. The purpose of this study was to examine the nature and frequency of the professionals' interactions with coworkers in an office and with the content consumers while working from home. Data were collected in the form of gameplay videos uploaded by the professional streamers from January of 2017 to March of 2018, downloaded by the …

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Creativity As A Resource: How Creativity Influences The Appraisal Of Work Stressors And Subsequent Strain, Alyssa Perez Dec 2021

Creativity As A Resource: How Creativity Influences The Appraisal Of Work Stressors And Subsequent Strain, Alyssa Perez

Electronic Theses and Dissertations, 2020-2023

Although creative behaviors are known to have positive effects on general well-being, little research has looked at the relationship between an individual's creativity and stress within the context of work. This research explored how creativity may work as a buffer against the strain of job stressors. In study 1, six vignettes were developed using Role Stressor Theory (Kahn et al., 1964) and the Challenge/Hindrance Framework of stress (Cavanaugh et al., 2000). A sample of 164 undergraduate students responded to the vignettes and results showed that trait-level creativity was directly related not only to the creativity of the solutions the participants …

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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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