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A Causal Comparative Study Of Principal Perceptions Of Instructional Leadership Practices In One Central Florida School District, Tracy Shenuski
A Causal Comparative Study Of Principal Perceptions Of Instructional Leadership Practices In One Central Florida School District, Tracy Shenuski
Electronic Theses and Dissertations, 2020-2023
The purpose of this causal comparative quantitative study was to examine relationships between types of crises, perceptions of instructional leadership practices, and length of service as principal. Data from a purposive sampling using the Instructional Leadership, Job Satisfaction, and Retention Survey (ILJSRS) were collected from principals in one district and analyzed to assess the impact crises played on their perceptions of instructional leadership practices and their retention. Independent variables included demographics, type of crisis (weather, violence, health), and principal retention. The dependent variable was perception scores on the ILJSRS. Statistical analyses included the General Linear Model with Robust Standard Errors …
Population Persistence And Disease Invasion In Heterogenous Networks, Poroshat Yazdanbakhshghahyazi
Population Persistence And Disease Invasion In Heterogenous Networks, Poroshat Yazdanbakhshghahyazi
Electronic Theses and Dissertations, 2020-2023
The problem of understanding how biological species and infectious diseases can persist and spread in heterogeneous networks has brought a wide attention, recently highlighted due to the COVID-19 pandemic. This dissertation investigates the connection between the structures of heterogeneous networks and population persistence/disease invasion. To do so, we propose a new index for network heterogeneity by employing the Laplacian matrix of population dispersal and its corresponding group inverse. The network growth rate and reproduction number can be evaluated using the network average and the network heterogeneity index as the first and second order approximation, respectively. We also illustrate the impact …
Elementary Pre-Service Teacher Educators' Digital Writing Knowledge And Practices: A Qualitative Case Study, Kaira Kelly-Howard
Elementary Pre-Service Teacher Educators' Digital Writing Knowledge And Practices: A Qualitative Case Study, Kaira Kelly-Howard
Electronic Theses and Dissertations, 2020-2023
Because preservice teachers will be tasked with the responsibility of preparing their future students for effective communication and engagement in our global society, the experiences and practices related to digital writing that preservice teachers engage in before they begin their practice as full-time educators is critical to their professional development. This qualitative case study investigated two research questions, "How do teacher educators describe their technological, pedagogical, and content knowledge of digital writing?" and "How is teacher educators' knowledge of digital writing practices evident in their teaching?" This study took place at a large university in the Southeastern United States. Documents, …
Towards More Efficient Collaborative Distributed Data Analysis And Learning, Zixia Liu
Towards More Efficient Collaborative Distributed Data Analysis And Learning, Zixia Liu
Electronic Theses and Dissertations, 2020-2023
Modern information era gives rise to the persistent generation of large amounts of data with rapid speed and broad geographical distribution. Obtaining knowledge and understanding via analysis and learning from such data have invaluable worth. Features of such data analytical tasks commonly include: data can be large scale and geographically distributed; computing capability demand can be enormous; tasks can be time-critical; some data can be private; participants can have heterogeneous capabilities and non-IID data; and multiple simultaneously submitted data analytical tasks can be possible. These bring challenges to contemporary computing infrastructure and learning models. In view of this, we develop …
Improving The Performance And Durability Of Metal Contacts In Crystalline Silicon Solar Cells Using Advanced Characterization, Nafis Iqbal
Electronic Theses and Dissertations, 2020-2023
Solar energy is one of the fastest growing forms of energy generation due to its low cost, lack of emissions, minimal maintenance, and excellent durability. However, like any other technology, it is also not free from defects and degradation, which limit its performance in the real world. Most of the degradation is related to metal contacts, which also happens to be one of the most expensive items in manufacturing, comprising almost half of the cost of converting a silicon wafer into a photovoltaic (PV) cell. Therefore, studying contact degradation to make them reliable and free of defects is the key …
Volume Bragg Gratings With Complex Phase Structures: A Three-Dimensional Foundation For Laser-Beam Engineering, Lam Mach
Electronic Theses and Dissertations, 2020-2023
Bragg diffraction is a natural phenomenon that arises from the coherent interference of scattered waves in multilayer structures with a well-defined periodicity. In practice, the physical size of these multilayer structures varies depending on the intended application, from micrometer-thick dielectric mirrors with tens of layers to centimeter-long Bragg gratings with ten-thousands of layers. The scope of this work centers around a unique class of multilayer elements developed in bulk photo-thermo-refractive (PTR) glass – the volume Bragg grating (VBG). The content of this thesis places an emphasis on the volume nature of these Bragg devices, implying a three-dimensional structure whereupon arbitrary …
Direct Laser Writing Below The Diffraction Limit By Exploring Multi-Pulse-Induced Physics, Boyang Zhou
Direct Laser Writing Below The Diffraction Limit By Exploring Multi-Pulse-Induced Physics, Boyang Zhou
Electronic Theses and Dissertations, 2020-2023
Ultrafast laser ablation has enabled high-precision processing of a wide range of materials including metals, semiconductors, dielectrics, and polymers. Several laser nanostructuring methods exist, including those based on optical near-fields, special material properties, surface plasmons, and multiphoton absorption (MPA). Among these methods, the MPA method has the potential for nanoscale direct laser writing by using a simple experimental setup. However, the understanding of the fundamental mechanism involved in the laser ablation process is still incomplete, and it remains challenging to obtain a feature size much smaller than the diffraction-limited spot size. The goal of this research is to understand how …
Synchronous Raman Microspectroscopy And Laser Beam Induced Current Measurements As A Metrology Tool For Solar Cells And Optoelectronic Devices, Jeya Prakash Ganesan
Synchronous Raman Microspectroscopy And Laser Beam Induced Current Measurements As A Metrology Tool For Solar Cells And Optoelectronic Devices, Jeya Prakash Ganesan
Electronic Theses and Dissertations, 2020-2023
This works developed synchronous Raman microspectroscopy with laser beam induced current (LBIC) measurements to generate insights into structure-property correlations in finished solar cell modules. Raman spectroscopy is a powerful, non-destructive technique to examine phase and composition of materials where a laser beam excites characteristic vibrational modes of chemical bonds in a material. Conducting Raman spectroscopy under a microscope (i.e., Raman microspectroscopy) with confocal capabilities allows the chemical constituents to be mapped with high spatial resolution in the x, y and z directions. Simultaneously, the excitation laser from Raman can also generate photocarriers in a semiconductor. In a solar cell, these …
A Qualitative Inquiry Into Scholarly Publishing Between Librarians And Subject Faculty, Michael Furlong
A Qualitative Inquiry Into Scholarly Publishing Between Librarians And Subject Faculty, Michael Furlong
Electronic Theses and Dissertations, 2020-2023
This is a phenomenological exploration of academic librarians collaboratively publishing with subject faculty. The explorative study investigates academic librarians and subject faculty who conduct research outside of librarianship. The purpose of this qualitative inquiry is an exploration of barriers subject faculty members and academic librarians encounter when conducting collaborative research. The study was performed because of an identifiable research gap and a paucity of qualitative studies related to librarian and faculty research partnerships. Much of the existing scholarship focuses on quantitative data exploring librarians' publishing outcomes. Data collection was performed by interviewing five academic librarians and five subject faculty pairs. …
Machine Learning Algorithms For Forecasting The Impacts Of Connected And Automated Vehicles On Highway Construction Costs, Amirsaman Mahdavian
Machine Learning Algorithms For Forecasting The Impacts Of Connected And Automated Vehicles On Highway Construction Costs, Amirsaman Mahdavian
Electronic Theses and Dissertations, 2020-2023
A multitude of externalities affects transport efficiency and numbers of trips. Population expansion, urban development, political issues, fiscal trends, and growth in the field of connected, automated, shared, and electric (CASE) vehicles have all played prominent roles. While the market is keenly aware of the upcoming shift to the CASE vehicles, the transformation itself is reliant upon the development of technologies, customer outlook, and guidelines. The purpose of this research is to establish an overview of the possible network design problems, as well as potential consequences to vehicle automation systems by employing machine learning and system dynamics analysis. Finally, the …
Automatic Posture Correction Utilizing Electrical Muscle Stimulation, Ravi Kiran Kattoju
Automatic Posture Correction Utilizing Electrical Muscle Stimulation, Ravi Kiran Kattoju
Electronic Theses and Dissertations, 2020-2023
Habitually poor posture can lead to repetitive strain injuries that lower an individual's quality of life and productivity. Slouching over computer screens and smart phones, asymmetric weight distribution due to uneven leg loading, and improper loading posture are some of the common examples that lead to postural problems and health ramifications. To help cultivate good postural habits, researchers have proposed slouching, balance, and improper loading posture detection systems that alert users through traditional visual, auditory or vibro-tactile feedbacks when posture requires attention. However, such notifications are disruptive and can be easily ignored. We address these issues with a new physiological …
Surface Engineering For Controlled Growth And Deposition Of Nanomaterials - Assembly And Design At The Nano-Microscale, David Fox
Electronic Theses and Dissertations, 2020-2023
Materials with nanoscale dimensions offer several important benefits over bulk materials (e.g. increased surface area, low-cost, deviation from bulk properties, etc.). Such materials are critical components for next-generation energy storage materials, optoelectronic devices, and catalyst systems. However, these materials are often processed in liquid media, and their diminutive structures are fragile in the presence of capillary forces. As such, preparing uniform and stable nanomaterial coatings is a significant challenge. Herein, we discuss an approach where the substrate itself is factored into the assembly and growth of these materials. First, nanoporous surfaces were utilized to achieve a uniform deposition of one-dimensional …
Davydov-Split Aggregates Of Cyanine Dyes For Bovine Serum Albumin Detection, Yiping Ma
Davydov-Split Aggregates Of Cyanine Dyes For Bovine Serum Albumin Detection, Yiping Ma
Electronic Theses and Dissertations, 2020-2023
The p-conjugated supramolecular aggregates have gained significant interest in recent years. The cyanine dye aggregates are particularly interesting due to their unique optical and excitonic properties, which cannot be found in individual molecules. Cyanine dyes can form different kinds of aggregates. H-aggregates are formed when dye molecules are packed in a face-to-face fashion, which gives rise to a blue-shift absorption band and strong emission quenching compared to the monomer. J-aggregates are composed of individual dye molecules in a head-to-tail stacking, which leads to a red-shift absorption band and a sharp intense emission band with a small Stoke shift compared with …
Data-Driven Diagnostics And Prognostics For Complex Systems: Methods And Applications, Junchuan Shi
Data-Driven Diagnostics And Prognostics For Complex Systems: Methods And Applications, Junchuan Shi
Electronic Theses and Dissertations, 2020-2023
Recent advances in artificial intelligence or machine learning have the potential to significantly improve the effectiveness and efficiency of diagnostic and prognostic techniques. The objective of this research is to develop novel data-driven predictive models with machine learning and deep learning algorithms that allow one to model the degradation, detect the faults, as well as predict the remaining useful life (RUL) of complex systems, including bearings, gearboxes, and Lithium-ion (Li-ion) batteries. First, an enhanced ensemble learning algorithm is developed to improve the accuracy of RUL prediction by selecting diverse base learners and features at different degradation stages. The proposed method …
Automation, Take The Wheel: An Examination Of Factors Influencing Trust In Automated Driver Assist Technologies, James Ferraro
Automation, Take The Wheel: An Examination Of Factors Influencing Trust In Automated Driver Assist Technologies, James Ferraro
Electronic Theses and Dissertations, 2020-2023
Driving technology has progressed significantly since the introduction of anti-lock braking and cruise control decades ago. Current driver assist features can alert drivers of oncoming vehicles and even take control to keep the vehicle centered within its lane. The level of trust that people place in automation can impact how they monitor and accept these automated systems. Previous research has shown several performance outcomes associated with improper calibrations of trust in automation. However, there is still a need to examine trust in the context of advanced driving technologies. Research has yet to sufficiently investigate factors influencing trust in assistive driving …
A Study Of Autorotation: Samara Seed Pods And Tethered Autogyros, Jonathan Mcconnell
A Study Of Autorotation: Samara Seed Pods And Tethered Autogyros, Jonathan Mcconnell
Electronic Theses and Dissertations, 2020-2023
This work presents an exploration of autorotational behavior, observing naturally occurring structures to provide insight into the stability and design of autorotative mechanisms. A rotor is said to be in autorotation when, in the presence of airflow, a natural rotation generates lift to either suspend or slow the descent of a rotor. This phenomenon is observed in nature in the form of samaras, a seed pod morphology evolved in parallel by maple trees and many other organisms around the world. Simulation and experimental observation of samara vertical descent behavior provides insight into the stability of naturally evolved autorotative structures. A …
A Spatiotemporal Evaluation Of Freeway Traffic Demand In Florida During Covid-19 Pandemic, Md Istiak Jahan
A Spatiotemporal Evaluation Of Freeway Traffic Demand In Florida During Covid-19 Pandemic, Md Istiak Jahan
Electronic Theses and Dissertations, 2020-2023
This thesis contributes to our understanding of the changes in traffic volumes on major roadway facilities in Florida due to COVID-19 pandemic from a spatiotemporal perspective. Three different models were tested in this study- a) Linear regression model, b) Spatial Autoregressive Model (SAR) and c) Spatial Error Model (SEM). For the model estimation, traffic volume data for the year 2019 and 2020 from 3,957 detectors were augmented with independent variables, such as- COVID-19 case information, socioeconomics, land-use and built environment characteristics, roadway characteristics, meteorological information, and spatial locations. Traffic volume data was analyzed separately for weekdays and holidays. SEM models …
Fierce Attatchment: Majorie Kinnan Rawlings And The Book Rep, A Biographer's Quest, Ann Mccutchan
Fierce Attatchment: Majorie Kinnan Rawlings And The Book Rep, A Biographer's Quest, Ann Mccutchan
The Marjorie Kinnan Rawlings Journal of Florida Literature
No abstract provided.
Investigating The Relationship Between The Microbiome And Neuroactive Metabolites In Huntington Disease Model Mice, Christian Millot
Investigating The Relationship Between The Microbiome And Neuroactive Metabolites In Huntington Disease Model Mice, Christian Millot
Electronic Theses and Dissertations, 2020-2023
Huntington Disease (HD) is an autosomal dominant neurodegenerative disorder caused by a trinucleotide repeat expansion mutation in the huntingtin (HTT) gene. HD is characterized by neurological symptoms, including motor, cognitive, and psychiatric decline. A non-neurological symptom, metabolic dysfunction, is also common in HD and can cause weight change, a feature recapitulated in HD mice. There is a need for a better understanding of the weight changes associated with HD, because patients with a higher body mass index show slower disease progression. Our lab has shown that metabolic dysfunction in HD mice is the result of a disrupted circadian feeding rhythm …
An Examination Of Gender-Based Differences In Perceptions Of Supervisor Support, Ann Schlotzhauer
An Examination Of Gender-Based Differences In Perceptions Of Supervisor Support, Ann Schlotzhauer
Electronic Theses and Dissertations, 2020-2023
Perceived supervisor support and particularly emotional support possess conceptual overlap with stereotypes of femininity. The present study extends understanding of perceived supervisor support by applying the agency and communality framework of gender stereotypes and role congruity theory. This study employed a vignette research design to examine differential ratings of male and female supervisors who were depicted engaging in (a) no support, (b) instrumental support, (c) emotional support, or (d) instrumental and emotional support. Results suggest that supportive supervision is indeed viewed as feminine in nature. Further, findings suggest that female supervisors engaging in emotional support behaviors are preferred over equivalently …
Imaging Based Beam Steering For Optical Communication And Lidar Applications, Sajad Saghaye Polkoo
Imaging Based Beam Steering For Optical Communication And Lidar Applications, Sajad Saghaye Polkoo
Electronic Theses and Dissertations, 2020-2023
Optical beam steering is a key component in any application that requires dynamic (i.e. realtime control) of beam propagation through free-space. Example applications include remote sensing, spectroscopy, laser machining, targeting, Lidar, optical wireless communications (OWC) and more. The pointing control requirements for many of these applications can be met by traditional mechanical steering techniques; however, these solutions tend to be bulky, slow, expensive, power hungry and prone to mechanical failures leading to short component lifetimes. Two emerging applications, Lidar imaging and OWC, truly need improved beam-steering capabilities to flourish and support the advancement of self-driving cars or relieve the congestion …
Mixed-Integer Programming Methods For Modeling And Optimization Of Cascading Processes In Complex Networked Systems, Cheng-Lung Chen
Mixed-Integer Programming Methods For Modeling And Optimization Of Cascading Processes In Complex Networked Systems, Cheng-Lung Chen
Electronic Theses and Dissertations, 2020-2023
Dynamics and growth of many natural and man-made systems can be represented by large-scale complex networks. Entity interactions and community interconnections within complex networks increase the level of difficulty for the investigation on structural network properties such as robustness, vulnerability and resilience. In this dissertation, we develop methodologies based on mixed-integer programming techniques to solve challenging optimization problems that model cascading processes in complex networked systems. In particular, we seek to provide decision making recommendations for problems related to different types of cascading processes in networks commonly considered in a variety of applications: interdependent infrastructure networks and social networks. In …
Non-Invasive Detection Of Elevated Intracranial Pressure Using Spontaneous Tympanic Membrane Pulsation, Rajkumar Dhar
Non-Invasive Detection Of Elevated Intracranial Pressure Using Spontaneous Tympanic Membrane Pulsation, Rajkumar Dhar
Electronic Theses and Dissertations, 2020-2023
Monitoring intracranial pressure (ICP) is a standard diagnostic tool for various neurological conditions such as head injury, ruptured aneurysms, intracerebral and intracranial hemorrhage, and hydrocephalus. Currently, ICP monitoring relies on invasive pressure measurements. These include intraventricular catheter, subdural screw, epidural sensor, and lumbar puncture. Invasive methods pose the risk of infection and hemorrhage, are expensive, and require special clinical skills. A noninvasive method that is reliable, simple to use, low-cost, and provides easily interpretable results can help avoid the complications associated with the invasive methods. This study proposes a novel method for noninvasive ICP monitoring using tympanic membrane pulsation (TMp). …
A Measurement System For Detection Of Intestinal Motility In Neonates By Monitoring Slow Wave Activity, Garett Goodale
A Measurement System For Detection Of Intestinal Motility In Neonates By Monitoring Slow Wave Activity, Garett Goodale
Electronic Theses and Dissertations, 2020-2023
Similar to how electrocardiographic waves are the pace making signals of the heart, slow waves are the pace making signals of the intestines. Slow waves are electrical signals in the intestines that determine the speed at which food can move through the intestine ensuring proper digestion and uptake of nutrients. It has been shown that slow waves can be measured in adults using non-invasive, surface electrodes. However, no study has investigated the measurements of slow waves in neonates, specifically pre-term neonates. Around 7% of pre-term neonates suffer from necrotizing enterocolitis (NEC) which is a condition that causes damage to the …
Assessing Patient Safety Culture In United States' Hospitals, Abdulmajeed Azyabi
Assessing Patient Safety Culture In United States' Hospitals, Abdulmajeed Azyabi
Electronic Theses and Dissertations, 2020-2023
Patient safety is founded on continuous learning because there is an urgent need to report and learn from errors, accidents, near misses, and adverse events. The traditional approach to patient safety, based on forming mortality committees and investigating accidents, will no longer be effective. Frameworks, surveys, and assessment tools have been developed over the last decade to assist organizations in measuring and understanding their culture. This a retrospective cross-sectional study included 67,010 respondents from Agency for Health care Research and Quality (AHRQ) 2018 comparative database was analyzed using partial least squares structural equation modeling (PLS-SEM). This research explored whether the …
Towards Automated Data Mining: Reinforcement Intelligence For Self-Optimizing Feature Engineering, Kunpeng Liu
Towards Automated Data Mining: Reinforcement Intelligence For Self-Optimizing Feature Engineering, Kunpeng Liu
Electronic Theses and Dissertations, 2020-2023
Feature engineering is one of the most important components in data mining and machine learning. One of the key thrusts in data mining is to answer: How should a low-dimensional geometry structure be extracted and reconstructed from high-dimensional data? To solve this issue, researchers proposed feature selection, PCA, sparsity regularization, factorization, embedding, and deep learning. However, existing techniques are limited in achieving full automation, globally optimal, and explainable explicitness. Can I address the automation, optimal, and explainability challenges in data geometry reconstruction? A low-dimensional data geometry structure is crucial for SciML methods (e.g., GP models), and the accuracy of these …
In Situ Transmission Electron Microscopy And Ab Initio Study Of The Electrochemomechanical Effect Of Lithium Penetration In Electrolytes For All-Solid-State Batteries, Megan Diaz
Electronic Theses and Dissertations, 2020-2023
Although the past twenty years have seen dramatic advancement in lithium-ion batteries (LIBs), these batteries are nearing their theoretical limit. Next generation energy storage technologies must therefore be developed to meet the ever-increasing demands for batteries with higher capacity, longer cycle lifetime, and increased safety. All-solid-state lithium battery (ASSLIB) technology is one of the promising candidates. It is equipped with a solid-state electrolyte (SSE) replacing the flammable organic liquid electrolyte used in current LIBs. The SSE's high modulus is expected to prevent lithium dendrites and enables the use of a lithium metal anode to contribute to its high capacity without …
Exploring The Privacy Dimension Of Wearables Through Machine Learning-Enabled Inference, Ulku Meteriz Yildiran
Exploring The Privacy Dimension Of Wearables Through Machine Learning-Enabled Inference, Ulku Meteriz Yildiran
Electronic Theses and Dissertations, 2020-2023
Today's hyper-connected consumers demand convenient ways to tune into information without switching between devices, which led the industry leaders to the wearables. Wearables such as smartwatches, fitness trackers, and augmented reality (AR) glasses can be comfortably worn on the body. In addition, they offer limitless features, including activity tracking, authentication, navigation, and entertainment. Wearables that provide digestible information stimulate even higher consumer demand. However, to keep up with the ever-growing user expectations, developers keep adding new features and interaction methods to augment the use cases without considering their privacy impacts. In this dissertation, we explore the privacy dimension of wearables …
Modeling And Experimentation Of Buckling Of Composite Deployable Booms Under Bending, Christopher D. Rehberg
Modeling And Experimentation Of Buckling Of Composite Deployable Booms Under Bending, Christopher D. Rehberg
Electronic Theses and Dissertations, 2020-2023
This thesis presents experimental and finite element analysis results of eccentrically loaded carbon-fiber composite booms that can deploy solar sails. Using the collapsible tubular mast design along with the geometry from the upcoming Advance Composite Solar Sail System mission, short composite booms segments were manufactured for testing. New clamps were also designed to allow a column bending test to achieve eccentric loading. As buckling through eccentric loading has not previously seen much research, the geometry and composite layups were simplified to allow for ease of manufacturing and verification. The work presented here shows that a finite element simulation, using a …
Energy Based Diagnostics Of Cfd: Revealing New Insights To Complex Aerodynamics, George Loubimov
Energy Based Diagnostics Of Cfd: Revealing New Insights To Complex Aerodynamics, George Loubimov
Electronic Theses and Dissertations, 2020-2023
This thesis documents a new approach to assess the aerodynamics of complex fluid dynamic systems using modern assessment methods associated with computational fluid dynamics (CFD). The method is developed to extract novel and additional insight in the context of a higher-fidelity modeling tool. Although the methods are based on classical control volume techniques balancing fluid momentum and energy, the approach uses the detailed data provided by CFD to expand on it. Classical methods typically use a fixing control volume defined at simple control surfaces, whereas this assessment method utilizes CFD to provide complex integrals on the control surfaces and uses …