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Effect Of External Electromagnetic Stimulation On Microtubule Polymerization, Florian Alushi Jan 2024

Effect Of External Electromagnetic Stimulation On Microtubule Polymerization, Florian Alushi

Honors Undergraduate Theses

Intracellular processes are influenced by mass transport at different spatial and temporal scales, facilitated by diffusion and stochastic encounters between cellular components. While traditionally explained by short-range "lock and key" interactions, some processes involve rapidly fluctuating charges generating electromagnetic (EM) fields, allowing long-range biomolecular interactions. This challenges the conventional view that efficient biochemical reactions depend solely on random encounters and short-range interactions, suggesting EM fields play a crucial role in cellular dynamics. Microtubules (MTs) are essential components of the cell cytoskeleton, responsible for intracellular transport, cell migration, cell division, etc. Beyond their mechanical role, MTs have unique electromagnetic properties due …

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Mapping The Reaction Networks Of Cis Formed In The Ozone-Assisted Oxidation Of C₆ Acyclic And Endocyclic Alkenes, Zachary Clarke Jan 2024

Mapping The Reaction Networks Of Cis Formed In The Ozone-Assisted Oxidation Of C₆ Acyclic And Endocyclic Alkenes, Zachary Clarke

Honors Undergraduate Theses

Criegee intermediates (CIs) are highly reactive species generated during the ozonolysis of alkenes, exerting a critical influence on atmospheric oxidation, combustion chemistry, and synthetic processes. Their reactivity, encompassing unimolecular and bimolecular pathways, shapes oxidation mechanisms and product distributions in these environments. A key determinant of CI behavior is the structural nature of the parent alkene. Acyclic alkenes typically yield intermediates with minimal steric hindrance, facilitating rapid reactions, whereas endocyclic alkenes produce geometrically constrained CIs with enhanced internal stabilization, redirecting reaction pathways and reducing overall reactivity. Despite their importance, mechanistic understanding remains limited due to experimental challenges in detecting CIs and …

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An Assessment Of The Hotel Customers’ Robotic Service Quality Perceptions: Scale Development And Validation, Ahmet Hacikara Jan 2024

An Assessment Of The Hotel Customers’ Robotic Service Quality Perceptions: Scale Development And Validation, Ahmet Hacikara

Graduate Thesis and Dissertation 2023-2024

"Hotel customers' interactions with service robots are becoming increasingly common, raising questions about how these interactions impact their experience. To address this gap in knowledge, this dissertation develops and validates a novel robotic service quality (ROBOQUAL) scale. Drawing on social exchange theory, the study examines the reciprocal relationship between hotel customers and artificially intelligent service robots, exploring how robotic service quality influences customers' perceptions of experience quality, satisfaction, and word-of-mouth intentions. The research employs focus-group studies, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and partial least squares equation modeling (PLS-SEM) to develop and validate the ROBOQUAL scale."

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Development Of A Novel Mitochondria Biosensor, Randall K. James Jan 2024

Development Of A Novel Mitochondria Biosensor, Randall K. James

Graduate Thesis and Dissertation post-2024

Developing new label-free paradigms for functional assays in biomedical research has the potential to catalyze efforts in drug discovery and improve the understanding of complex disorders. Mitochondria are an essential organelle in nearly every eukaryotic organism that perform vital functions such as ATP production, redox signaling, reactive oxygen species (ROS) homeostasis and regulation of programmed cell death. These activities are regulated by electrophysiological processes that occur in the inner mitochondrial membrane (IMM) and outer mitochondrial membrane (OMM) in response to metabolic demands, making them an important physiological marker for bioenergetic studies. Mitochondria dysfunction is an early pathological biomarker of complex …

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Advancements In Nuclear Magnetic Resonance, Electron Paramagnetic Resonance, Multipole Moments, And Lie Group Proprieties, Zhichen Liu Jan 2024

Advancements In Nuclear Magnetic Resonance, Electron Paramagnetic Resonance, Multipole Moments, And Lie Group Proprieties, Zhichen Liu

Graduate Thesis and Dissertation 2023-2024

To accurately solve the general nuclear spin state function in Nuclear Magnetic Resonance (NMR), a rotation wave approach was employed, allowing the reference frame to rotate in sync with the oscillating magnetic field. The spin state system was analogously treated as a Rubik's Cube, ensuring the diagonalization of only the time-dependent part of the state function. Although Gottfried's equation (1966) aligns with transitions between specific spin states m and m′, his second rotation contradicts the conservation of angular momentum, resulting in inaccuracies for spin states with initial phase shifts or entangled states. Contrarily, Schwinger (1937) efficiently computed the coefficients for …

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Mathematical Developments For Bubble Dynamics, Kacie Kulenguski Jan 2024

Mathematical Developments For Bubble Dynamics, Kacie Kulenguski

Graduate Thesis and Dissertation post-2024

This thesis explores bubble dynamics described by the Rayleigh-Plesset equation. The primary focus is on bubble growth. A theoretical discussion of bubble growth is given using the Rayleigh-Plesset equation. This work considers bubble growth in four different cases: a polytropic case without the consideration of surface tension, an isothermal case without surface tension, a polytropic case with surface tension, and an isothermal case with surface tension. Based on these cases, this work develops asymptotic solutions for the evolution of radial bubble growth over time. This thesis provides numerical solutions to these cases through the use of the Runge-Kutta method. These …

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Is My Team As Passionate As Me? Effects Of Perceived Dissimilarity Of Occupational Passion-Intensity On Key Outcomes Among Working Adults, Moses Rivera Jan 2024

Is My Team As Passionate As Me? Effects Of Perceived Dissimilarity Of Occupational Passion-Intensity On Key Outcomes Among Working Adults, Moses Rivera

Graduate Thesis and Dissertation post-2024

This dissertation explores the impact of perceived self-to-team dissimilarity in occupational passion-intensity on individual-level outcomes among workgroup members in organizational contexts. Grounded in need-to-belong theory, moralization theory, and equity theory, the outcomes examined include job satisfaction, turnover intentions, involvement in task-conflict, and psychological safety. Additionally, results via three methods for measuring self-to-team similarity and/or dissimilarity were compared. Two self-report online questionnaires separated by one week were administered to 530 adult workers from the US, Canada, and the UK, across a wide variety of industries. Based on a final sample of N = 483, structural equation models—each corresponding to one method …

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Effectively Communicating Uncertainty In Tropical Cyclone Intensity Forecasts, Robert W. Eicher Jan 2024

Effectively Communicating Uncertainty In Tropical Cyclone Intensity Forecasts, Robert W. Eicher

Graduate Thesis and Dissertation post-2024

This body of research investigated methods for effectively communicating the inherent, technical uncertainty in tropical cyclone intensity forecasts through three separate studies. The first investigation uses Hurricane Laura as a case study. Laura rapidly intensified before making landfall in Cameron, Louisiana, catching some residents off guard. The study demonstrates how publics could be more effectively alerted to future hurricane worst-case scenarios using best practices recommended by the risk communication literature. The second study is an experiment that examines the effectiveness of adding numerical probability information to hurricane forecasts. Prior research suggests that using numeric probability information along with words and …

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Multicolor Bipartite Ramsey Number Of Double Stars, Gregory M. Decamillis Jan 2024

Multicolor Bipartite Ramsey Number Of Double Stars, Gregory M. Decamillis

Honors Undergraduate Theses

The core idea of Ramsey theory is that complete disorder is impossible. Given a large structure, no matter how complex it is, we can always find a smaller substructure that has some sort of order. For positive integers $n, m$, the double star $S(n,m)$ is the graph consisting of the disjoint union of two stars $K_{1,n}$ and $K_{1,m}$ together with an edge joining their centers. The $k$-color bipartite Ramsey number of $ S(n,m)$, denoted by $r_{bip}(S(n,m);k)$, is the smallest integer $N$ such that, in any $k$-coloring of the edges of the complete bipartite graph $K_{N,N}$, there is a monochromatic copy …

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Application Of Multicultural Literature In The Early Childhood Classroom, Deborah Wheeler, Jennifer Hill Dec 2023

Application Of Multicultural Literature In The Early Childhood Classroom, Deborah Wheeler, Jennifer Hill

Journal of English Learner Education

Culture equates to identity; therefore, the implementation of multicultural literature in the early childhood curriculum is an essential method for securing children’s concept of self and cultural identity. This qualitative study explored the implementation of multicultural literature in early childhood classrooms, and the research included questions pertaining to multicultural literature training, instructional methods, and barriers encountered. The purpose of the study was to answer questions regarding teachers use of multicultural literature in the classroom, how often teachers read multicultural literature and how teachers integrated multicultural literature into instruction. An additional question inquired about what multicultural books titles were teachers reading …

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What Do You Want To Be When You Grow Up?, Alissa Johnson Nov 2023

What Do You Want To Be When You Grow Up?, Alissa Johnson

High Impact Practices Student Showcase Fall 2023

The purpose of my project is to explain my point-of-view of how 4310 Service-Learning: Marine Conservation & Restoration has changed my outlook of this career field and how its influenced me to want to continue in this major. I discuss how three amazing women teach me about oysters (Katherine Harris, Tara Blanchard, and Kelsey Mack) and how they found their voice in a male heavy career field. I also touch on the opportunities I took like mangrove gardening, trail camera footage of Cape Canaveral, and a beach clean-up, just to name a few and how the community plays a huge …

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Empowering Futures: Matthew's Knights Of Distinction Leadership E-Portfolio In Academic Excellence, Matthew A. Hernandez Nov 2023

Empowering Futures: Matthew's Knights Of Distinction Leadership E-Portfolio In Academic Excellence, Matthew A. Hernandez

High Impact Practices Student Showcase Fall 2023

My presentation centers on my E-Portfolio, seamlessly incorporating three key milestones from the Knights of Distinction program into significant events. Beginning with a brief personal introduction, I shared why I became a physics major, and explored the roots of my passion for space. Utilizing a visual aid, my poster board, I elucidated each focus area and its relevance to my aspirations and societal contributions. The first focus area was Citizenship and how I attended an “Industry BBQ” with the hopes of gaining valuable information to share it with other engineers. The second focus area was about leadership and my role …

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Big 10, Richard C. Crepeau Aug 2023

Big 10, Richard C. Crepeau

On Sport and Society

Over the past several weeks the world of college sports has gone into overdrive in an attempt to milk the public for as much cash as is humanly possible. The money game this time around has centered on conferences seeking to expand their membership, which mathematically means shrinking the size of the membership of other conferences or, even better, wiping out the conference competition entirely.

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Understanding Evacuation Traffic Safety Issues During Hurricane Evacuation Using Machine Learning And Connected Vehicle Data, Zaheen E Muktadi Syed Aug 2023

Understanding Evacuation Traffic Safety Issues During Hurricane Evacuation Using Machine Learning And Connected Vehicle Data, Zaheen E Muktadi Syed

Electronic Theses and Dissertations, 2020-2023

Hurricane evacuation, ordered to save lives of people of coastal regions, generates high traffic demand with increased crash risk. To mitigate such risk, transportation agencies need to anticipate highway locations with high crash risks to deploy appropriate countermeasures. With ubiquitous sensors and communication technologies, it is now possible to retrieve micro-level vehicular data containing individual vehicle trajectory and speed information. Such high-resolution vehicle data, potentially available in real time, can be used to assess prevailing traffic safety conditions. Using vehicle speed and acceleration profiles, potential crash risks can be predicted in real time. Previous studies on real-time crash risk prediction …

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"Do You Want To Build With Snowman?": Positioning Twine Story Formats Through Critical Code Study, Daniel Cox Aug 2023

"Do You Want To Build With Snowman?": Positioning Twine Story Formats Through Critical Code Study, Daniel Cox

Electronic Theses and Dissertations, 2020-2023

Using critical code studies, this dissertation examines the Twine story format Snowman. Despite existing books on the authoring tool Twine, a central part of its functionality, what it names "story formats," is rarely covered. This study steps into this gap and, based on my own experiences through working on story formats and documenting examples using Twine, explores the greater social context of the story format Snowman through examining its source code. This dissertation consists of three chapters, each using a different set of research methods. First, the metaphor of a stack is used to better understand how software like Snowman …

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Transportation Electrification In Interdependent Power And Transportation Systems - Analysis, Planning, And Operation, Sina Baghali Aug 2023

Transportation Electrification In Interdependent Power And Transportation Systems - Analysis, Planning, And Operation, Sina Baghali

Electronic Theses and Dissertations, 2020-2023

Electric vehicles (EVs) are one of the eminent alternatives to decarbonize the transportation sector. However, large-scale EV adoption brings new challenges and opportunities to both transportation and power systems (TPSs). The challenges include the lack of understanding of EV driving behaviors and the associated charging demand (CD) distribution, the complex interaction of the decentralized decision-makers from TPSs, and the insufficient infrastructure from TPSs to accommodate the growing CD of EVs. On the other hand, the opportunities include benefiting the power systems by leveraging vehicle-to-grid (V2G) technologies and improving transportation mobility by incorporating strategic infrastructure planning. The goal of this dissertation …

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Towards Efficient And Effective Representation Learning For Image And Video Understanding, Taojiannan Yang Aug 2023

Towards Efficient And Effective Representation Learning For Image And Video Understanding, Taojiannan Yang

Electronic Theses and Dissertations, 2020-2023

Deep learning has achieved tremendous success on various computer vision tasks. However, deep learning methods and models are usually computationally expensive, making it hard to train and deploy, especially on resource-constrained devices. In this dissertation, we explore how to improve the efficiency and effectiveness of deep learning methods from various perspectives. We first propose a new learning method to learn computationally adaptive representations. Traditional neural networks are static. However, our method trains adaptive neural networks that can adjust their computational cost during runtime, avoiding the need to train and deploy multiple networks for dynamic resource budgets. Next, we extend our …

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A Unique Method Of Using Information Entropy To Evaluate The Reliability Of Deep Neural Network Predictions On Intracranial Electroencephalogram, Elakkat Dharmaraj Gireesh Aug 2023

A Unique Method Of Using Information Entropy To Evaluate The Reliability Of Deep Neural Network Predictions On Intracranial Electroencephalogram, Elakkat Dharmaraj Gireesh

Electronic Theses and Dissertations, 2020-2023

Deep Neural networks (DNN) are fundamentally information processing machines, which synthesize the complex patterns in input to arrive at solutions, with applications in various fields. One major question when working with the DNN is, which features in the input lead to a specific decision by DNN. One of the common methods of addressing this question involve generation of heatmaps. Another pertinent question is how effectively DNN has captured the entire information presented in the input, which can potentially be addressed with complexity measures of the inputs. In the case of patients with intractable epilepsy, appropriate clinical decision making depends on …

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Optimizing Information Values In Smart Mobility, Fatima Afifah Aug 2023

Optimizing Information Values In Smart Mobility, Fatima Afifah

Electronic Theses and Dissertations, 2020-2023

Smart mobility, enabled by advanced sensing, communication, vehicle, and emerging mobility technologies, has transformed transportation systems. Real-time information shared by public and private entities plays a pivotal role in smart mobility, which facilitates informed decision-making, including effective mode choice, dynamic vehicle control, optimized travel routing, and strategic vehicle relocation. While more information is believed to benefit individual decision makers, it is crucial to acknowledge that the effects of information on transportation network performance are contingent; more information may not always benefit the safety and mobility of the whole system. The goal of this dissertation is to investigate the effects of …

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Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti Aug 2023

Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti

Electronic Theses and Dissertations, 2020-2023

This dissertation seeks to design an optimization algorithm, based on naturalistic flight data, with emphasis on safety to perform a benefits' analysis when sequencing and scheduling aircraft at the runway. The viability of creating a decision-support tool to aid air traffic controllers in sequencing and optimizing airport operations is evaluated through the benefits' analysis. Air traffic control is a complex and critical system that ensures the safe and efficient movement of aircraft within the airspace. This is particularly true in the immediate vicinity of an airport. Unlike in en-route or terminal area airspace where aircraft usually traverse well established routes …

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Distributed Optimization With Limited Communication In Networks With Adversaries, Iyanuoluwa Emiola Aug 2023

Distributed Optimization With Limited Communication In Networks With Adversaries, Iyanuoluwa Emiola

Electronic Theses and Dissertations, 2020-2023

We all hope for the best but sometimes, one must plan for ways of dealing with the worst-case scenarios, especially in a network with adversaries. This dissertation illustrates a detailed description of distributed optimization algorithms over a network of agents, in which some agents are adversarial. The model considered is such that adversarial agents act to subvert the objective of the network. The algorithms presented in this dissertation are solved via gradient-based distributed optimization algorithm and the effects of the adversarial agents on the convergence of the algorithm to the optimal solution are characterized. The analyses presented establish conditions under …

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Detecting Team Conflict From Multiparty Dialogue, Ayesha Enayet Aug 2023

Detecting Team Conflict From Multiparty Dialogue, Ayesha Enayet

Electronic Theses and Dissertations, 2020-2023

The emergence of online collaboration platforms has dramatically changed the dynamics of human teamwork, creating a veritable army of virtual teams composed of workers in different physical locations. The global world requires a tremendous amount of collaborative problem solving, primarily virtual, making it an excellent domain for computer scientists and team cognition researchers who seek to understand the dynamics involved in collaborative tasks to provide a solution that can support effective collaboration. Mining and analyzing data from collaborative dialogues can yield insights into virtual teams' thought processes and help develop virtual agents to support collaboration. Good communication is indubitably the …

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Annotation Efficient Visual Recognition: From Semi-Supervised To Few-Shot Learning, Mamshad Nayeem Rizve Aug 2023

Annotation Efficient Visual Recognition: From Semi-Supervised To Few-Shot Learning, Mamshad Nayeem Rizve

Electronic Theses and Dissertations, 2020-2023

In recent years, supervised deep learning has achieved remarkable success in solving a wide range of visual recognition problems. Large-scale labeled datasets have been crucial for this success and the progress has primarily been limited to controlled environments. In this dissertation, we present methods to improve the annotation efficiency of deep visual recognition models and also propose methods to improve the performance of annotation-efficient models in unconstrained open-world settings. To address the annotation bottleneck in supervised learning, we introduce a pseudo-labeling framework for semi-supervised learning. While consistency regularization methods dominate the field, they heavily rely on domain-specific data augmentations, limiting …

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Deep Video Understanding With Model Efficiency And Sparse Active Labeling, Aayush Jung Bahadur Rana Aug 2023

Deep Video Understanding With Model Efficiency And Sparse Active Labeling, Aayush Jung Bahadur Rana

Electronic Theses and Dissertations, 2020-2023

Videos capture the inherently sequential nature of the real world, making automatic video understanding an essential need for automatic understanding of the real world. Due to major advancements in camera, communication, and storage hardware, videos have become a widely used data format for crucial applications such as home automation, security, analysis, robotics, and autonomous driving. Existing methods for video understanding require heavy computation and large training data for good performance, this limits how quick the videos can be processed and how much data can be labeled for training. Real-world video understanding requires analyzing dense scenes and sequential information, which increases …

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A High-Pressure Shock Tube Study Of Hydrogen And Ammonia Addition To Natural Gas For Reduced Carbon Emissions In Power Generation Gas Turbines, Michael Pierro Aug 2023

A High-Pressure Shock Tube Study Of Hydrogen And Ammonia Addition To Natural Gas For Reduced Carbon Emissions In Power Generation Gas Turbines, Michael Pierro

Electronic Theses and Dissertations, 2020-2023

Ignition delay times from undiluted mixtures of natural gas (NG)/H2/Air and NG/NH3/Air were measured using a high-pressure shock tube at the University of Central Florida. The combustion temperatures were experimentally tested between 1000-1500 K near a constant pressure of 25 bar. Mixtures were kept undiluted to replicate the same chemistry pathways seen in gas turbine combustion chambers. Recorded combustion pressures exceeded 200 bar due to the large energy release, hence why these were performed at the high-pressure shock tube facility. The data is compared to the predictions of the NUIGMech 1.1 mechanism for chemical kinetic model validation and refinement. An …

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Flow Induced Vibration In Corrugated Metal Flexhoses, Patrick Tran Aug 2023

Flow Induced Vibration In Corrugated Metal Flexhoses, Patrick Tran

Electronic Theses and Dissertations, 2020-2023

This study on flow-induced vibration provides valuable insights into the fundamental dynamics of fluid-structure interactions. The findings contribute to the development of predictive models and design guidelines for engineering systems susceptible to flow-induced vibration. By improving our understanding of this phenomenon, engineers can enhance the safety and reliability of various structures subjected to fluid flow, such as pipelines, flexhoses, and bellows. Flowinduced vibration is a phenomenon that occurs when fluid flow interacts with a structure, leading to oscillations and potentially causing mechanical damage. Understanding the underlying mechanisms and predicting the vibration characteristics is crucial for the design and safe operation …

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A Study Of The Influence Of Heat Flux On Aerodynamics In Hypersonic Flow, Kristina Pionessa Aug 2023

A Study Of The Influence Of Heat Flux On Aerodynamics In Hypersonic Flow, Kristina Pionessa

Electronic Theses and Dissertations, 2020-2023

This study investigates the utilization of computational fluid dynamics (CFD) to simulate aerodynamic heating effects in support of research and design endeavors. The initial investigation demonstrates the effectiveness of a computational approach in analyzing different geometries and flow conditions. Specifically, CFD is employed to analyze the aerodynamics of a blunt cone, double cone, and hypersonic leading edge experiencing a changing heat source across the flow/body boundary. At the stagnation point, maximum thermal loading occurs as previously found; therefore, boundary layer thickness and shock standoff distance is measured at that position to compare the results of each case. Characteristics such as …

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Human Recognition Theory And Facial Recognition Technology: A Topic Modeling Approach To Understanding The Ethical Implication Of A Developing Algorithmic Technologies Landscape On How We View Ourselves And Are Viewed By Others, Hajer Albalawi Aug 2023

Human Recognition Theory And Facial Recognition Technology: A Topic Modeling Approach To Understanding The Ethical Implication Of A Developing Algorithmic Technologies Landscape On How We View Ourselves And Are Viewed By Others, Hajer Albalawi

Electronic Theses and Dissertations, 2020-2023

The emergence of algorithmic-driven technology has significantly impacted human life in the current century. Algorithms, as versatile constructs, hold different meanings across various disciplines, including computer science, mathematics, social science, and human-artificial intelligence studies. This study defines algorithms from an ethical perspective as the foundation of an information society and focuses on their implications in the context of human recognition. Facial recognition technology, driven by algorithms, has gained widespread use, raising important ethical questions regarding privacy, bias, and accuracy. This dissertation aims to explore the impact of algorithms on machine perception of human individuals and how humans perceive one another …

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Studying Memes During Covid Lockdown As A Lens Through Which To Understand Video-Mediated Communication Interactions, Tatyana Claytor Aug 2023

Studying Memes During Covid Lockdown As A Lens Through Which To Understand Video-Mediated Communication Interactions, Tatyana Claytor

Electronic Theses and Dissertations, 2020-2023

The purpose of this study is to analyze image macros about video-mediated communication (VMC) created during the time frame of 2020-2021 when people all over the world started using Zoom and VMC for work and school. It is a unique opportunity to study how users' interactions with themselves and with others were affected at a time when a lot of people started using the technology at the same time. Because the focus is on interactions, I narrowed it down to three topics to analyze the memes: presence, self, and space and place to analyze the memes. I chose memes relating …

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Florida's Vanishing Heritage: Climate Risk And Adaptation At Florida Heritage Sites, Levi Watson Aug 2023

Florida's Vanishing Heritage: Climate Risk And Adaptation At Florida Heritage Sites, Levi Watson

Electronic Theses and Dissertations, 2020-2023

This thesis examines history and preservation at coastal cultural heritage sites threatened by climate change and explores climate adaptation strategies at two sites on Florida's Atlantic coast. Current climate change models indicate the planet may see as much as 1.1 meters, or four feet, of global average sea level rise by the year 2100, requiring site managers to intervene by using adaptation techniques to improve resilience and guard against the loss of cultural heritage monuments. Understanding the history and importance of these sites to the surrounding communities and their numerous stakeholders is the first step to ensuring these sites remain …

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