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A Spatiotemporal Examination Of Crime Site Selection For Commercial Burglary And Street Robbery, Devin Cowan Jan 2023

A Spatiotemporal Examination Of Crime Site Selection For Commercial Burglary And Street Robbery, Devin Cowan

Electronic Theses and Dissertations, 2020-2023

The overall goal of this dissertation is to examine how the built and natural environment influences how potential criminals identify crime sites to offend within. Guided by the theoretical principles of crime site selection and crime pattern theory, this study specifically focuses on the crimes of street robbery and commercial burglary in three unique study locations—Atlanta, GA, Fayetteville, NC, and Rochester, NY. The data for this study were collected from multiple publicly available data repositories. Of these repositories, criminal incident data for the dependent variables were gathered from the National Policing Institute's Police Data Initiative. Data for the independent variables, …


Understanding, Modeling, And Simulating The Discrepancy Between Intended And Perceived Image Appearance On Optical See-Through Augmented Reality Displays, Austin Erickson Jan 2023

Understanding, Modeling, And Simulating The Discrepancy Between Intended And Perceived Image Appearance On Optical See-Through Augmented Reality Displays, Austin Erickson

Electronic Theses and Dissertations, 2020-2023

Augmented reality (AR) displays are transitioning from being primarily used in research and development settings, to being used by the general public. With this transition, these displays will be used by more people, in many different environments, and in many different contexts. Like other displays, the user's perception of virtual imagery is influenced by the characteristics of the user's environment, creating a discrepancy between the intended appearance and the perceived appearance of virtual imagery shown on the display. However, this problem is much more apparent for optical see-through AR displays, such as the HoloLens. For these displays, imagery is superimposed …


Leadership Efficacy: A Study Of The Relationship Between Leadership Efficacy, Teacher Perception And Teacher Retention, Rachel Hazel Jan 2023

Leadership Efficacy: A Study Of The Relationship Between Leadership Efficacy, Teacher Perception And Teacher Retention, Rachel Hazel

Electronic Theses and Dissertations, 2020-2023

Leadership self-efficacy is an important quality for school principals. In his work, Hattie has stated, "How we think about the impact of what we do is more important than focusing on what we do (Hattie, 2020)." Leadership efficacy, theories of action, and how leaders ensure their actions are aligned with their goals is more important than ever as educators face challenges with teacher shortages and leading in a tumultuous time. Teacher recruitment and retention is a worldwide problem. Teachers are leaving the field. While teachers do not have to validate the beliefs of their leaders, they must carry out the …


High-Dynamic-Range And High-Efficiency Near-Eye Display Systems, En-Lin Hsiang Jan 2023

High-Dynamic-Range And High-Efficiency Near-Eye Display Systems, En-Lin Hsiang

Electronic Theses and Dissertations, 2020-2023

Near-eye display systems, which project digital information directly into the human visual system, are expected to revolutionize the interface between digital information and physical world. However, the image quality of most near-eye displays is still far inferior to that of direct-view displays. Both light engine and imaging optics of near-eye display systems play important roles to the degraded image quality. In addition, near-eye displays also suffer from a relatively low optical efficiency, which severely limits the device operation time. Such an efficiency loss originates from both light engines and projection processes. This dissertation is devoted to addressing these two critical …


The Impact Of Competency Based Education On Educational Equity, Ndifor Manjong Jan 2023

The Impact Of Competency Based Education On Educational Equity, Ndifor Manjong

Electronic Theses and Dissertations, 2020-2023

For centuries, minority groups, students from low socio-economic background, and girls in public schools especially K-12 educational institutions in the United States have experienced prejudice, injustice, and bigotry. Unfortunately, the conventional approach of education, based on a one-size-fits-all approach, has failed to deal with these obstacles. In the past decades, however, there has been an increasing demand for the adoption of the Competency-Based system of education, a personalized learning approach that focuses on the acquisition of concrete skills rather than abstract knowledge. In a Competency-Based model, students advance based on the demonstration of mastery of knowledge and skills other than …


Stress Appraisals Of Organizational Change: The Role Of Adaptability And Communication, Wheeler Nakahara Jan 2023

Stress Appraisals Of Organizational Change: The Role Of Adaptability And Communication, Wheeler Nakahara

Electronic Theses and Dissertations, 2020-2023

This two-part study used a field study and experimental vignette design to investigate predictors (extent of change, adaptability, and communication) of threat, hindrance, and challenge appraisals of change. The field study also examined employee well-being, job attitudes, and behaviors as outcomes of these appraisals. Drawing from stress appraisal theory, the primary goal of the study was to add to our knowledge of how personal characteristics and contextual factors relate to positive and negative appraisals of change and how those appraisals manifest in employee related outcomes. I hypothesized that adaptability and high-quality communication would function as resources that promote positive appraisals, …


Interorganizational Networks And Coordination In Emergency Management: Policy And Practice In Response To Disasters, Ratna Okhai Jan 2023

Interorganizational Networks And Coordination In Emergency Management: Policy And Practice In Response To Disasters, Ratna Okhai

Electronic Theses and Dissertations, 2020-2023

As a quintessential role of government, emergency and crisis management requires coordination between levels of government and private and nonprofit sector organizations. Hurricane Irma in 2017 was used as the context in examining interorganizational network effectiveness. Effective and efficient policy implementation and service delivery can be key indicators of collaborative networks; however, it was equally important to understand what factors determine the effectiveness of those collaborative networks. Using network theory and network governance as the theoretical foundations, this study measured and compared the designed versus implemented networks during disaster response. The guiding research for this study was: What factors facilitate …


Neural Dynamics Of Categorical Representations Used For Visual Search, Ashley Phelps Jan 2023

Neural Dynamics Of Categorical Representations Used For Visual Search, Ashley Phelps

Electronic Theses and Dissertations, 2020-2023

Decades of visual attention research have predominantly used pictorial search paradigms that cue participants with the exact perceptual details of the target. However, in everyday life, people often search for categories rather than specific items (i.e., any pen rather than a specific pen). To study visual attention in a more realistic context, researchers can use categorical search paradigms that cue participants with text indicating the target category. In these instances, one must rely on long-term memory to retrieve categorical features of the target. Both experiments in this study were a reanalysis of experiments previously designed and collected by Schmidt and …


A Framework To Define And Quantify Leadership Styles Within Navy Engineering Units, Megan Praschak Jan 2023

A Framework To Define And Quantify Leadership Styles Within Navy Engineering Units, Megan Praschak

Electronic Theses and Dissertations, 2020-2023

This study aimed to develop a framework for the U.S. Navy's leadership styles by assessing self-perceived leadership styles in a sample of reserve Engineering Duty Officers (EDOs) and the Senior Enlisted Leaders (SELs) in these technical units. Transformational and transactional leadership styles were examined using the Multifactor Leadership Questionnaire (MLQ) Form (Avolio & Bass, 2004), while the servant leadership style was analyzed using the Servant Leadership Self-Assessment Questionnaire (SLSQ) (Sandling, 2021). The effect of rank and the triad leadership position on leadership style was explored in this study. The survey was made available to all EDOs and SELs (n = …


Design And Control Of A Dual Active Bridge Converter For Electric Vehicle (Ev) And Photovoltaic (Pv) Applications, Md Safayatullah Jan 2023

Design And Control Of A Dual Active Bridge Converter For Electric Vehicle (Ev) And Photovoltaic (Pv) Applications, Md Safayatullah

Electronic Theses and Dissertations, 2020-2023

With the growing concerns of climate change due to fossil fuel-based electricity generation, solar integration to the grid is swiftly increasing. However, the intermittency of solar power is a major obstacle to harness it efficiently. Energy storage system (ESS) with its declining price over the last few years is a viable solution to address this issue. Another source of greenhouse gas emission is fossil fuel-based transportation system which is likely to be replaced by electric vehicles (EVs) in near future. To match the driving range of EVs with the internal combustion engine-based vehicle, fast and extreme fast charging infrastructure in …


An Examination Of A Decade Of K-5 Mathematics Standards In The United States, Ashley Schmidt Jan 2023

An Examination Of A Decade Of K-5 Mathematics Standards In The United States, Ashley Schmidt

Electronic Theses and Dissertations, 2020-2023

This qualitative content analysis research study examined changes made to K-5 state mathematics standards across the United States from 2012 to 2022. This study aimed to answer the research question: In what ways, if any, do K-5 state mathematics standards differ from the CCSSM? This was accomplished through four additional sub questions which include: (1) In what ways, if any, do K-5 state mathematics student process and practice standards differ from the CCSSM? (2) In what ways, if any, do K-5 state mathematics standards content domains differ from the CCSSM? (3) In what ways, if any, do states describe how …


How Parents Perceive School Readiness, Jody Silvester Jan 2023

How Parents Perceive School Readiness, Jody Silvester

Electronic Theses and Dissertations, 2020-2023

The purpose of this study was to explore parents' perceptions of children entering kindergarten and their understanding of school readiness. In this collective case study, drawing on parent interviews and artifact sampling and guided by discourse analysis (Gee, 2015), I employed Saldaña's (2021) cycle coding methods to explore the themes of what parents perceive and co-construct as 'school readiness'. Data collected for this study includes video recorded interviews of four participants as well as artifacts of their child(ren)'s classroom assessments, parent-teacher conference forms and packets, and a checklist shared by the parents. The findings of the study showed parents' perception …


Leveraging Signal Transfer Characteristics And Parasitics Of Spintronic Circuits For Area And Energy-Optimized Hybrid Digital And Analog Arithmetic, Adrian Tatulian Jan 2023

Leveraging Signal Transfer Characteristics And Parasitics Of Spintronic Circuits For Area And Energy-Optimized Hybrid Digital And Analog Arithmetic, Adrian Tatulian

Electronic Theses and Dissertations, 2020-2023

While Internet of Things (IoT) sensors offer numerous benefits in diverse applications, they are limited by stringent constraints in energy, processing area and memory. These constraints are especially challenging within applications such as Compressive Sensing (CS) and Machine Learning (ML) via Deep Neural Networks (DNNs), which require dot product computations on large data sets. A solution to these challenges has been offered by the development of crossbar array architectures, enabled by recent advances in spintronic devices such as Magnetic Tunnel Junctions (MTJs). Crossbar arrays offer a compact, low-energy and in-memory approach to dot product computation in the analog domain by …


Determining The Influence Of Kids Building For Kids Workshops On Attitudes And Beliefs Of General Education Middle School Teachers Toward Students With Disabilities, Jennifer Tucker Jan 2023

Determining The Influence Of Kids Building For Kids Workshops On Attitudes And Beliefs Of General Education Middle School Teachers Toward Students With Disabilities, Jennifer Tucker

Electronic Theses and Dissertations, 2020-2023

Children with disabilities experience barriers to meaningful engagement in science, technology, mathematics, and engineering (STEM) learning activities and course options. While inclusion is widely professed, general education teachers report being uncomfortable in adapting coursework or including children with disabilities. However, informal professional development opportunities could potentially impact general education teachers' attitudes and dispositions towards including children with disabilities. The UCF Go Baby Go Kids Building for Kids workshops offers a one-time informal professional development experience that incorporates STEM content along with concepts of disability awareness and social justice. Little to no research exists on the impact of this type of …


An Exploration Of The Experiences Of Middle Manager Housing And Residence Life Professionals In Attending Housing Professional Development Conferences, Marcus Silver Jan 2023

An Exploration Of The Experiences Of Middle Manager Housing And Residence Life Professionals In Attending Housing Professional Development Conferences, Marcus Silver

Electronic Theses and Dissertations, 2020-2023

The purpose of this phenomenological study was to explore how middle-manager housing and residence life professionals apply what they learn from attending a housing professional development conference. This study was guided by Biggs's (2003) framework, theory of constructive alignment, focused on intended learning outcomes used to create what students need to learn, followed by how they are assessed. This qualitative study used 10 in-depth semistructured interviews with middle-manager housing and residence life professionals working at a 4-year institution in the United States. Three research questions drove this study: (a) how do middle-manager housing and residence life professionals describe their learning …


High School Transition Clubs: Teacher Experiences Leading Clubs, Phillip Sasse Jan 2023

High School Transition Clubs: Teacher Experiences Leading Clubs, Phillip Sasse

Electronic Theses and Dissertations, 2020-2023

This phenomenological study was conducted to understand high school teachers' use of transition clubs to support student self-determination goals and student participation in community activities. A Qualtrics survey was administered to 51 clubs, with responses from 13 teachers. Survey results indicated club directors were most proud of the career exploration focus and club activities, which gave the students in the clubs new experiences and helped lead the students to positive outcomes. Five teachers agreed to meet for Zoom interviews about their experiences leading their College and Career Transition (CCT) Club. Responses were transcribed and analyzed using Colaizzi's (1978) method of …


An Exploration Of K-8 Classroom-Based Mathematics Teacher Leader Development, Treshonda Rutledge Jan 2023

An Exploration Of K-8 Classroom-Based Mathematics Teacher Leader Development, Treshonda Rutledge

Electronic Theses and Dissertations, 2020-2023

This study investigated classroom-based mathematics teacher leader (CBMTL) development through analysis of interview and focus group transcripts, results from a Mathematics Teacher Leadership Experiences survey, application materials, and an evaluation report for an equity-focused, research-to-practice doctoral program centered on developing CBMTLs. A multiple case study was conducted to interpret and understand how K-8 mathematics teachers identified and described ways in which their participation in the program developed them as CBMTLs. Findings suggest that mathematics teachers develop as mathematics teacher leaders in stages and highlight the effectiveness of the research-to-practice partnership model as an impactful pathway for developing CBMTLs. Themes from …


Examining Direct Load Control Within Demand Response Programs, Maria Bonina Zimath Jan 2023

Examining Direct Load Control Within Demand Response Programs, Maria Bonina Zimath

Honors Undergraduate Theses

The power system is a complex entity with unique plant designs, control systems, and market strategies. For many years, engineers have developed advanced technology to keep the grid efficient and balanced. With the rise of renewable sources, some new technology and programs must be developed to keep the quality of the power system. Unlike traditional power plants, renewable energy is highly dependent on environmental factors, such as sunlight and wind, meaning the generation depends on an unpredictable source of fuel. As the grid moves to more sustainable sources, the power market faces a growing challenge of less control over the …


Biomarker Identification For Breast Cancer Types Using Feature Selection And Explainable Ai Methods, David E. La Rosa Giraud Jan 2023

Biomarker Identification For Breast Cancer Types Using Feature Selection And Explainable Ai Methods, David E. La Rosa Giraud

Honors Undergraduate Theses

This paper investigates the impact the LASSO, mRMR, SHAP, and Reinforcement Feature Selection techniques on random forest models for the breast cancer subtypes markers ER, HER2, PR, and TN as well as identifying a small subset of biomarkers that could potentially cause the disease and explain them using explainable AI techniques. This is important because in areas such as healthcare understanding why the model makes a specific decision is important it is a diagnostic of an individual which requires reliable AI. Another contribution is using feature selection methods to identify a small subset of biomarkers capable of predicting if a …


Understanding Changes In Land Use Patterns At A Parcel Level In Central Florida Counties (Orange, Seminole, Osceola), Youssef Mohamed Abdelaziz Elsebaie Jan 2023

Understanding Changes In Land Use Patterns At A Parcel Level In Central Florida Counties (Orange, Seminole, Osceola), Youssef Mohamed Abdelaziz Elsebaie

Electronic Theses and Dissertations, 2020-2023

In Florida, a state with significant population growth, it is essential to understand how land use change and transportation interact. Understanding these interactions between land use and transport is useful for transportation planners and land use modelers. Hence, in this research, we attempt to quantify the impact of the transportation system on land use and vice-versa. The research, using high-resolution land use data from 2011 to 2019, builds a binary logistic regression model of land use change. The model accounts for various independent variables, including socio-demographic attributes, built environment characteristics, and transportation network variables. The data set covers GIS data …


Detonability Of A Rotating Detonation Combustor Seeded With Carbon/Hydrocarbon Particles At Fringe Operating Conditions, Matthew Hopwood Jan 2023

Detonability Of A Rotating Detonation Combustor Seeded With Carbon/Hydrocarbon Particles At Fringe Operating Conditions, Matthew Hopwood

Electronic Theses and Dissertations, 2020-2023

The Rotating Detonation Combustor (RDC) has, in recent years, been a subject of great interest in the pressure-gain combustion research community. Researchers have been investigating the RDC as a potential improvement over current combustors in today's turbomachinery-based power generation systems. With the theoretical efficiency boost that detonations provide over deflagrating combustors, RDCs have the promise to be a next step in fuel/cost savings in the power generation industry. One mode of research to push an RDCs capabilities is the potential use of combustible carbon/hydrocarbon solid particles in addition to liquid or gaseous fuels. These particles are a source of high …


The Role Of Oxygen Impurities In Γ-Phase Calcium Lanthanum Sulfide For Infrared Applications, Alexandros Kostogiannes Jan 2023

The Role Of Oxygen Impurities In Γ-Phase Calcium Lanthanum Sulfide For Infrared Applications, Alexandros Kostogiannes

Graduate Thesis and Dissertation 2023-2024

Calcium lanthanum sulfide (CLS) has been identified as a candidate material for various optical applications due to its wide transmission range, high refractive index, desirable thermo-optic properties, and refractory behavior. Implementation of CLS in optical systems has remained unrealized due to various difficulties in the synthesis and bulk fabrication of this material. The key challenge facing the development of CLS is the incorporation of oxygen and the presence of unwanted secondary phases related to the lack of control of stoichiometric variations across the ternary phase diagram. Though these difficulties have been previously discussed in the processing of CLS, the exact …


A Generalized Accelerated Failure Time Model To Predict Restoration Time From Power Outages, Tasnuba Binte Jamal Jan 2023

A Generalized Accelerated Failure Time Model To Predict Restoration Time From Power Outages, Tasnuba Binte Jamal

Graduate Thesis and Dissertation 2023-2024

Major disasters such as wildfire, tornado, hurricane, tropical storm, flooding cause disruptions in infrastructure systems such as power outage, disruption to water supply system, wastewater management, telecommunication failures, and transportation facilities. Disruptions in electricity infrastructures have negative impacts on sectors throughout a region, including education, medical services, financial, and recreation sectors. In this study, we introduce a novel approach to investigate the factors which can be associated with longer restoration time of power service after a hurricane. Considering restoration time as the dependent variable and utilizing a comprehensive set of county-level data, we have estimated a Generalized Accelerated Failure Time …


Enabling Large-Scale Transportation Electrification For Shared And Connected Mobility Systems, Md Rakibul Alam Jan 2023

Enabling Large-Scale Transportation Electrification For Shared And Connected Mobility Systems, Md Rakibul Alam

Graduate Thesis and Dissertation 2023-2024

Owing to advancements in technology, substantial investments within the automotive industry, and the formulation of supportive state policies, the future landscape of the transportation sector is poised to witness a shift from traditional internal combustion engine vehicles (ICEVs) to electric vehicles (EVs). While EVs have made inroads in the market, they still face significant hurdles in the form of range anxiety and prolonged charging durations, inhibiting their widespread adoption. To tackle these challenges, a comprehensive approach to smart transportation electrification is proposed, emphasizing the pivotal roles of infrastructure development, particularly in the allocation of charging stations, and strategic operational decisions, …


Optimizing Biomechanical Models: Estimation Of Muscle Tendon Parameters And Ankle Foot Orthosis Stiffness, Sepehr Ramezani Jan 2023

Optimizing Biomechanical Models: Estimation Of Muscle Tendon Parameters And Ankle Foot Orthosis Stiffness, Sepehr Ramezani

Electronic Theses and Dissertations, 2020-2023

The complexity of the human musculoskeletal system presents challenges in accurately identifying its characteristics, particularly due to the presence of redundant actuators on a single joint. Non-invasive measures are necessary to overcome these challenges. Optimization algorithms have emerged as a crucial tool to advance subject-specific musculoskeletal modeling allows a more realistic representation of biomechanical behaviors, enhancing our understanding of human movement and enabling better clinical decision-making. Furthermore, optimization algorithms play a vital role in customizing rehabilitation and assistive devices, such as orthoses and prostheses. The current ankle-foot orthosis (AFO) stiffness measurement methods require bulky, complex designs, and often permanent modification …


Assessment Of Midblock Pedestrian Crossing Facilities Using Surrogate Safety Measures And Vehicle Delay, Nafis Anwari Jan 2023

Assessment Of Midblock Pedestrian Crossing Facilities Using Surrogate Safety Measures And Vehicle Delay, Nafis Anwari

Graduate Thesis and Dissertation 2023-2024

This dissertation has contributed to the pedestrian safety literature by assessing and comparing safety benefits and traffic efficiency among midblock Rectangular Rapid Flashing Beacon (RRFB) and Pedestrian Hybrid Beacon (PHB) sites. Video trajectory data were used to calculate pedestrian Surrogate Safety Measures (SSMs) and vehicles' delay. Regression models of SSMs and vehicles' delay revealed that PHB sites offer more safety benefits, at the expense of increased vehicles' delay, compared to RRFB sites. The presence of the PHB, weekday, signal activation, lane count, pedestrian speed, vehicle speed, land use mix, traffic flow, time of day, and pedestrian starting position from the …


Material Appearance Modeling For Physically Based Rendering, Alexis Benamira Jan 2023

Material Appearance Modeling For Physically Based Rendering, Alexis Benamira

Graduate Thesis and Dissertation 2023-2024

Photorealistic rendering focuses on creating images with a computer that imitates pictures of reallife scenes as faithfully as possible. To achieve this, rendering algorithms require incorporating accurate modeling of how light interacts with various types of matter. For most objects, this model needs to account for the scattering of the light rays. However, this model falls short when rendering objects of sizes smaller or comparable to the wavelength of the incident light. In this case, new phenomena such as diffraction or interference are observed and have been characterized in optics. Digital rendering of those phenomena involve different light representations than …


Modeling Behavior And Vaccine Hesitancy For Predicting Daily Vaccination Inoculations Using Trends, Case, Death, And Twitter Sentiment Data, Talal Daghriri Jan 2023

Modeling Behavior And Vaccine Hesitancy For Predicting Daily Vaccination Inoculations Using Trends, Case, Death, And Twitter Sentiment Data, Talal Daghriri

Electronic Theses and Dissertations, 2020-2023

Over the past 100 years, epidemiological models have evolved to incorporate greater facets of the process. With the advent of social networking, massive computational power, population sentiment analysis can now be added to the epidemiological modeling process. Sentiment analysis is greater understanding of the fears, uncertainties, motivation, and trends of the public with respect to vaccination and associated events. Lack of public confidence in the efficacy of models, safety of vaccines, and appropriateness of policies confounds vaccine inoculation prediction. Sentiment analysis of social media is a seminal technique that accesses shared users' contents and tweets on the Twitter platform for …


Machine Learning Algorithms For Molecular Signature Identification With High-Throughput Genome Sequencing Data, Jiao Sun Jan 2023

Machine Learning Algorithms For Molecular Signature Identification With High-Throughput Genome Sequencing Data, Jiao Sun

Electronic Theses and Dissertations, 2020-2023

Powered by the high-throughput genomic technologies, the RNA sequencing (RNA-Seq) method is capable of measuring transcriptome-wide mRNA expressions and molecular activities in cells. Elucidation of gene expressions at the isoform resolution enables the detection of better molecular signatures for phenotype prediction, and the identified biomarkers may provide insights into the functional consequences of disease. This dissertation research focuses on developing advanced machine learning algorithms for mining large-scale RNA-Seq data in cancer transcriptome analysis. A platform-integrated model for transcript quantification (IntMTQ) is developed to improve the performance of RNA-Seq on isoform expression estimation. IntMTQ provides more precise RNA-Seq-based isoform quantification, and …


Social Equity Through Vaccinations During Covid-19: A Study Of Equitable Utilization Of Resources During Emergencies And Crises, Rebecca Entress Jan 2023

Social Equity Through Vaccinations During Covid-19: A Study Of Equitable Utilization Of Resources During Emergencies And Crises, Rebecca Entress

Electronic Theses and Dissertations, 2020-2023

Governments provide resources that enable people and neighborhoods to return to normalcy after emergencies, which enhances community resilience. Past research found that such resources are not always equitably utilized by communities, where oftentimes communities with high social vulnerability receive fewer resources. COVID-19 was one of the largest and most widespread public health emergencies. In response to the emergency, the United States (U.S.) government sponsored the creation and administration of COVID-19 vaccines. COVID-19 vaccines reduce the probability of severe illness and death, making them an important resource for community resilience. This study uses an explanatory sequential mixed methods research design to …