Digital Commons Network^™

Finding Signal In The Noise: High-Fidelity, Quantitative, Optical Blood Perfusion Imaging With Interference, Abdul Mohaimen Safi

USF Tampa Graduate Theses and Dissertations

For label-free, non-invasive, wide field-of-view (FOV) imaging/monitoring of blood flow, speckle-based approaches are gaining popularity. However, to obtain quantitative flow information, speckle techniques rely on the multi-exposure scheme which requires complex, bulky, and expensive instrumentation, limiting its application to preclinical studies. This dissertation directly addresses these issues. In the first part of this dissertation, we report a novel single shot synthetic multi-exposure speckle imaging (syMESI) method to synthetically produce multi-exposure images from one short single exposure speckle image using spatial binning/averaging. We demonstrate that syMESI can reimagine conventional hardware based MESI, with low-cost single exposure laser speckle imaging (LSCI) instrumentation. …

Thermochemical Conversion Of Lipid-Extracted Algal Biomass To Value-Added Sustainable Products, Magdalini Tsarpali

USF Tampa Graduate Theses and Dissertations

The extensive use of fossil fuels has increased the CO2 emissions, a phenomenon that has increased the demand for renewable energy and resources. Algae, photosynthetic aquatic organisms, have recently caught attention due to their high growth rate and the high CO2 capture ability. Biofuels and bioproducts from algae are considered promising alternatives because of their lower carbon footprint. Lipids are by far the most popular algal product, as they find applications in both fuels, such as biodiesel, and products, such as nutraceuticals and cosmetics. However, after lipid extraction, conversion of the residual algal biomass to value-added products is viewed as …

Passion To Purpose: An Autobiographical Narrative Inquiry Into The Development Of The Summer Ace Program, Owen Hooper

USF Tampa Graduate Theses and Dissertations

Students transitioning from high school to college are met with many challenges beyond academics including social acclimation, campus culture integration, and holistic wellness. Researchers agree that a successful and purposeful transition for incoming college students requires involvement and engagement with peers to help students adapt and increase their likelihood to graduate (Astin, 1999; Kuh, 2009; Tinto, 1998). This autobiographical narrative inquiry reflects on past experiences in assessing the needs of transitioning students at the University of South Florida and developing a purposeful programming model to support students. I aim to help the reader understand my personal commitment to these programs …

Light-Controlled Magnetism And Magnetic Sensing In Two-Dimensional Vanadium Dichalcogenides And Related Semiconductors, Valery Ortiz Jimenez

USF Tampa Graduate Theses and Dissertations

Atomically thin transition metal dichalcogenide (TMD) semiconductors hold enormous potential for modern optoelectronic devices, magnetic sensing, and quantum computing applications. By inducing long-range ferromagnetism (FM) in these semiconductors by stacking them with other magnetic TMDs or through the introduction of small amounts of a magnetic dopant, it is possible to extend their potential in emerging spintronic applications. In this dissertation, we aim to demonstrate two important applications of these materials: magnetic sensing and light-mediated, room temperature (RT) FM in V-doped WS2 (V-WS2) and V-WSe2 monolayers and in ML VSe2/TS2 (T = Mo and W) heterostructures. In this work, we developed …

High-Risk Traffic Crash Pattern Recognition And Identification Using Econometric Models And Machine Learning Models, Runan Yang

USF Tampa Graduate Theses and Dissertations

Roadway crashes have become a major cause of human deaths and injuries and caused much economic damage. According to World Health Organization (WHO), about 1.35 million people died in traffic crashes and over 50 million people injured from traffic crashes in the year of 2016 (World Health Organization, 2020). Nationally, in the U.S., the latest decade witnessed an increase of over 10% in traffic fatalities (National Highway Traffic Safety Administration (NHTSA), 2019). Similarly, in state of Florida, the fatal crashes increased by 4.62% from 2019 to 2020 (Florida Department of Highway Safety and Motor Vehicles, 2021). To prevent injuries and …

Origin And Epigenetic Regulation Of Cutaneous T Cell Lymphoma, Carly M. Harro

USF Tampa Graduate Theses and Dissertations

The pathogenesis of Cutaneous T cell lymphoma (CTCL) remains unclear. Using conditional knockout mice, we found that ablation of the genomic organizer Special AT-rich sequence-binding protein-1 (Satb1) caused malignant transformation of mature, skin-homing, Notch-activated CD4+ and CD8+ T cells into progressively fatal lymphoma. Mechanistically, Satb1 restrained Stat5 phosphorylation and the expression of skin-homing chemokine receptors in mature T cells. H3K27 and H3K9 trimethylation occluded the SATB1 promoter in Sézary cells, while inhibition of SUV39H1/2 methyltransferases (unlike EZH2 inhibition), restored protective SATB1 expression and selectively abrogated the growth of primary Sézary cells more effectively than romidepsin. Additionally, using single-cell RNA/TCR sequencing …

On The Reliability Of Wearable Sensors For Assessing Movement Disorder-Related Gait Quality And Imbalance: A Case Study Of Multiple Sclerosis, Steven Díaz Hernández

USF Tampa Graduate Theses and Dissertations

Approximately 33 million American adults had a movement disorder associated with medication use, ear infections, injury, or neurological disorders in 2008, with over 18 million people affected by neurological disorders worldwide. Physical therapists assist people with movement disorders by providing interventions to reduce pain, improve mobility, avoid surgeries, and prevent falls and secondary complications of neurodegenerative disorders. Current gait assessments used by physical therapists, such as the Multiple Sclerosis Walking Scale, provide only semi-quantitative data, and cannot assess walking quality in detail or describe how one’s walking quality changes over time. As a result, quantitative systems have grownas useful tools …

Establishment Of A Melanoma Esc-Gemm Platform And Its Use To Study Pten Tumor Suppressor Functions, Ilah Bok

USF Tampa Graduate Theses and Dissertations

The cumbersome and time-consuming process of generating new mouse strains and multiallelic experimental animals often hinders the use of genetically engineered mouse models (GEMM) in cancer research. In chapter 2, we describe the development and validation of an embryonic stem cell (ESC)-GEMM platform for rapid modeling of melanoma in mice. The platform incorporates 12 clinically relevant genotypes composed of combinations of four driver alleles (LSL-BrafV600E, LSL-NrasQ61R, PtenFlox, and Cdkn2aFlox) and regulatory alleles to spatiotemporally control the perturbation of genes of interest. The ESCs produce high-contribution chimeras, which recapitulate the melanoma phenotypes of conventionally bred mice. Using the ESC-GEMM platform to …

Statistical Monitoring The Quality Of Healthcare Services, Yanqing Kuang

USF Tampa Graduate Theses and Dissertations

In today’s healthcare industry, quality of care is a growing focus in the delivery of healthcare. To improve the quality of care in healthcare delivery, many studies focus on the longterm operational decision making to meet the expectations of healthcare providers and users, such as medical resource allocation, bed planning, staff scheduling, etc. These problems are typically parts of long-term operational decision making, however, time is essential in healthcare system. To ensure the adherence to a high quality of care and detect deterioration in real time, the quality of service should be measured over days or hours instead of just …

Improving Robustness Of Deep Learning Models And Privacy-Preserving Image Denoising, Hadi Zanddizari

USF Tampa Graduate Theses and Dissertations

Applications of deep learning models and convolutional neural networks have been rapidly increased. Although state-of-the-art CNNs provide high accuracy in many applications, recent investigations show that such networks are highly vulnerable to adversarial attacks. The black-box adversarial attack is one type of attack that the attacker does not have any knowledge about the model or the training dataset, but it has some input data set and theirlabels.

In this chapter, we propose a novel approach to generate a black-box attack in a sparse domain, whereas the most critical information of an image can be observed. Our investigation shows that large …

Development Of Enhanced Algae Strains And Sustainable Cultivation Processes For Production Of Algal Lipids For Biofuels And Bioproducts, Enlin Lo

USF Tampa Graduate Theses and Dissertations

The establishment of an algae industry is crucial for addressing global biofuel and bioproduct demand that meets the Sustainable Development Goals (SDG) worldwide. Photosynthetic microalgae are excellent sources for food, fiber, fuel, feed, and fertilizer, which are the 5Fs of the SDG. However, at present, algae-based materials are not cost-competitive or sufficiently sustainable. Improved productivity, lower cultivation cost, and reduced use of resources are required to transition from lab to industry, necessitating the development of superior strains that have high productivity and can tolerate environmental stress, such as temperature and salinity, so they can be cultivated at large scale outdoors …

Exploring The Structure And Activity Of Metallo-Tetracyclines, Shahedul Islam

USF Tampa Graduate Theses and Dissertations

Copper as a key component of electron transport chain of eukaryotes is an essential transition metal ion. Copper homeostasis in mammals complex and tightly regulated. Its strong reactivity together with binding with biologically important chemicals can have important repercussions in human health and overall environment. Tetracycline as one of most abundantly used antibiotic of the world has become abundant in the environment as well. Herein in this dissertation we take the journey to explore the complexation of tetracycline with metals in the environment and the intricate interaction between copper and tetracycline by investigating their oxidative behavior once they are complexed. …

Individual Differences In Response To Hostile And Benevolent Sexism In A Stem Interview Context: The Moderating Role Of Behavioral Activation, Elizabeth Kiebel

USF Tampa Graduate Theses and Dissertations

Women continue to face sexism in workplace contexts, especially those that are male dominated, such as science, technology, engineering, and mathematics (STEM). Yet, women often fail to confront the sexism they experience, despite confrontation being an effective way to cope with and prevent future harassment (Fitzgerald et al., 1995; Magley, 2002). To date, no one has assessed the potential moderating role of personality differences related to approach motivation on women’s confrontation of sexism. In this study, women were exposed to either a hostilely sexist or benevolently sexist question during a mock job interview that was purportedly being conducted as part …

Designing Control Strategies For Connected And Automated Vehicles (Cavs) At Transportation Conflict Areas, Saeid Soleimaniamiri

USF Tampa Graduate Theses and Dissertations

Scheduling vehicles to pass a general conflict area is a common problem in traffic operations at various facilities, such as intersections, work-zones, and merging ramps. The advent of connected automated vehicle (CAV) technology provides unique opportunities for improving the traffic system performance and riding comfort at conflict areas. With the opportunities introduced by the emerging CAV technologies, this dissertation envisions building computationally efficient and applicable CAV-based control frameworks that can optimally serve traffic streams from different approaches while simultaneously or sequentially optimize CAV trajectories at conflict areas.

In our first study, we focus on a joint vehicle trajectories and signal …

First-Principles-Based Modeling Of Energy Converting Properties Of Conventional And Emerging Ferroelectrics, Maggie Kingsland

USF Tampa Graduate Theses and Dissertations

Ferroelectric materials are a type of multifunctional material that exhibit spontaneous polarization reversable by the application of an electric field. They are used in many technologies such as ferroelectric RAM (FeRAM), piezoelectric devices, RFID chips, and capacitors. However, the most commonly used ferroelectrics are often made with rare, expensive elements and are not environmentally friendly. For example, many prototypical ferroelectrics contain elements such as lead, zirconium, and titanium. As technology grows more advanced, there is a need to discover or manufacture cheaper ferroelectrics and to make them less impactful on human health and the earth as a whole. We set …

Comparing Participants In Discipline And Non-Discipline Specific First-Year Seminars: A Study On Student Characteristics, Expectations, And Changes In Major, Caroline Kaufmann Twachtman

USF Tampa Graduate Theses and Dissertations

First-year seminar (FYS) courses tend to focus on preparing students for successful academic and social integration into the college environment. Many of the studies on FYS courses focus on measuring outcomes such as college grades, retention, and graduation rates. While there is notable documentation of several different types of FYS courses, relatively few studies compare the different types of FYS courses. What, if any, differences might there be in the profiles of students who take either type of course? Is there a certain type of student that enrolls in the discipline-specific course, or a certain type of student that enrolls …

Quantifying Functional Performance Of Manual Force Perception And Dynamic Force Control, Benjamin Rigsby

USF Tampa Graduate Theses and Dissertations

This dissertation furthers our understanding of how we (humans) sense and interact withforces, humans, and robots in three distinct cases, which affect robotics and rehabilitation. Chapter 2 examines physical therapists’ (PTs’) consistency when applying assistance forces during rehabilitation. Chapter 3 explores how control performance of an unstable system is affected by the system’s degrees of freedom (DoFs). Chapter 4 investigates the effects of the task speed and direction of perturbing forces on a dynamic task where position is controlled through self-generated forces.

Chapter 2 quantifies the consistency of forces that PTs apply during therapy by using a robotic device. The …

Phenotypic Variability In Ipsc-Induced Cardiomyocytes And Cardiac Fibroblasts Carrying Diverse Lmna Mutations, Jiajia Yang

USF Tampa Graduate Theses and Dissertations

Mutations in the LMNA gene (encoding lamin A/C) are the second most common cause of familial arrhythmogenic cardiomyopathy. Diverse LMNA variants in cardiomyocytes have been associated with cardiac phenotypes. Moreover, cardiac fibroblasts make up a large fraction of the myocardium's non-myocyte component, intrinsically linked to extracellular matrix synthesis and turnover as well as secreting large amounts of bioactive metabolites. However, our understanding of how different mutation sites and the non-myocyte niche mediate cardiomyocyte function is limited. To fill this gap, in this thesis I investigated the hypothesis that variable LMNA mutations have significant effects on the genetic, structure and electrophysiological …

Fiber-Based Electrical Energy Storage And Harvesting Devices For Wearable Electronics, Tareq Kareri

USF Tampa Graduate Theses and Dissertations

Over the past few years, smart textiles and wearable technologies have received tremendous attention due to their functionalities and characteristics, which could be used in a variety of ways in healthcare, sports/leisure, fashion, military, personal protective, and energy applications. These technologies depend on self-power systems, which require energy sources (e.g., batteries, supercapacitors, and solar cells) to power their projected functionalities in the future. Therefore, fabricating energy harvesting cells (i.e., solar cells) and energy storage cells (i.e., batteries and supercapacitors) in the form of fibers are promising solutions for powering wearable electronics due to their unique features such as flexibility and …

Distributed Leadership: Formal Leadership, Barriers, And Facilitators For Multi-Tiered Systems Of Support, Joseph D. Latimer

USF Tampa Graduate Theses and Dissertations

Currently, educators are exposed to an increased environment of accountability, which prioritizes student academic achievement. That environment of accountability is reinforced by multiple pieces of legislation that also call attention to the implementation of multi-tiered systems of support (MTSS). Even with these federal mandates, educators are continuously overwhelmed implementing MTSS and often leverage distributed leadership practices such as school leadership teams to carry out school improvement tasks. Both distributed leadership practices and MTSS are directly impacted by the practices of formal leadership (i.e., principals). In addition, enablers of and barriers to distributed leadership for MTSS should be investigated. This current …

A Physically Constrained Wavelet-Aided Statistical Model (Pcwasm) For Multidecadal Groundwater Dynamics Predictions And Climate Change Evaluation, Fatih Gordu

USF Tampa Graduate Theses and Dissertations

Long-term groundwater management relies on forecasts of decadal or longer groundwater levels driven by nested scales of variability in climate. Discerning the impacts of anthropogenic stressors on groundwater is also critical for establishing predevelopment benchmark groundwater conditions and developing climate change adaptation strategies to reduce risks and increase resiliency. This research demonstrates the development and successful applications of a new methodology to predict and assess multidecadal groundwater dynamics for understanding long-term effects of climate change and groundwater withdrawals.

A Physically Constrained Wavelet-Aided Statistical Model (PCWASM) is first introduced to analyze and predict monthly aquifer levels on multidecadal time scales. The …

Exploring Magneto-Excitons In Bulk And Mono-Layer Semiconductors Using Non-Linear Spectroscopy Techniques, Varun Mapara

USF Tampa Graduate Theses and Dissertations

The research in two-dimensional (2D) materials has evolved from ``traditional" quantum wells based on group III-V and II-VI semiconductors to atomically thin sheets of van der Waals materials such as 2D semiconducting Transition Metal Dichalcogenides (TMDs). These 2D materials remain a stimulating field that continues to introduce new challenges. From both a fundamental physics and technological perspective, magneto-optical spectroscopy has been an essential tool in this research field. TMDs, for example, pose the challenge of characterizing their spin-valley-resolved physics and deriving implications in quantum computation and information research. With the discovery of valley Zeeman effects, the spin-valley physics of TMDs …

The Role Of Eicosanoid Metabolism In Mammalian Wound Healing And Inflammation, Kenneth D. Maus

USF Tampa Graduate Theses and Dissertations

Inflammatory wounds, both chronic and acute, lead to increased morbidity and mortality rates, especially in the elderly population. The annual healthcare cost for chronic wound care alone is over $39B in the US and the demographic of susceptible patients is steadily increasing due to an aging population and lifestyle-related diseases (e.g., hyperlipidemia, obesity, and type 2 diabetes). In fact, many chronic wounds currently have a worse 5-year outlook than certain types of cancers. This shows the need for expediting the wound healing process in such a way that compresses inflammatory signaling and encourages wound resolution without sacrificing pathogen removal and …

An Internet Of Medical Things (Iomt) Approach For Remote Assessment Of Head And Neck Cancer Patients, Ruchitha Chinthala

USF Tampa Graduate Theses and Dissertations

Internet-of-Medical-Things (IoMT) allows for a smart healthcare system to remotely monitor and assess patient’s progress at home. Head and neck cancers (HNC) are treated with various treatment options which are associated with significant side effects, mainly shoulder dysfunction, and trismus (spasm of jaw muscles). However, measurement of patient’s progress, and side effects while undergoing treatment, is limited to evaluation received based on scheduled appointments. Development of strategies to enhance monitoring during follow-up period is needed for earlier identification of problems such as trismus and shoulder dysfunction. In this interdisciplinary research, for the first time, we develop an IoMT enabling application, …

Assessment Of Scoured Bridges Subjected To Vessel Impact Using Nonlinear Dynamic Analysis, Amir S. Irhayyim

USF Tampa Graduate Theses and Dissertations

Scour has been the number one cause of bridge failure in the United States with an average of 22 bridges collapsing or being closed owing to severe deformation each year [1]. This work attempts to deal with two important issues: (1) Potential bridge failures during the co-occurrence of scour and ship impact; (2) Incorporating IDA analysis to predict bridge responses based on barge and collision parameters, and to generate fragility curves to predict the probability of exceedance damage states.

For bridges, flooding is considered the most threatening hazard. According to the National Bridge Inventory (NBI) [2], 500,000 out of 615,000 …

Formation Of Trihalomethanes During Chlorination At South Cross Bayou Advanced Water Reclamation Facility, Pinellas County, Florida, Ian Grabo

USF Tampa Graduate Theses and Dissertations

South Cross Bayou Advanced Water Reclamation Facility (SCB) in Pinellas County, Florida, recently had a spike in effluent concentrations of bromodichloromethane (BDCM) and dibromochloromethane (DBCM) above the regulated limits, due to relying fully on chlorination instead of a combination of chlorination and ultraviolet light. The objective of this study was to determine the operating parameters most strongly affecting the formation of THMs. This was completed by analysis of long-term data sets obtained from SCB by multiple linear regression to create models describing THM formation. In addition, sampling of the chlorine contact chamber (CCC) was done to determine the effects of …

2d Lateral Heterostructures For Optoelectronic Devices, Florence Ann Emila Nugera

USF Tampa Graduate Theses and Dissertations

Two-dimensional (2D) materials show remarkable physical properties when compared to their bulk form. These are single layer materials where the atoms are covalently bonded to each other. Among the 2D materials, transition metal dichalcogenides (TMDCs) have special consideration due to its unique electrical, optical and mechanical properties. These materials can be combined either vertically or laterally to form heterostructures and can be mixed to form alloys in order to expand the number of members in the 2D family. In turn optoelectrical properties can be tuned for better performances when develop for potential applications.

In the first part of this dissertation, …

Analyzing Decision-Making In Robot Soccer For Attacking Behaviors, Justin Rodney

USF Tampa Graduate Theses and Dissertations

In robotics soccer, decision-making is critical to the performance of a team’s SoftwareSystem. The University of South Florida’s (USF) RoboBulls team implements behavior for the robots by using traditional methods such as analytical geometry to path plan and determine whether an action should be taken. In recent works, Machine Learning (ML) and Reinforcement Learning (RL) techniques have been used to calculate the probability of success for a pass or goal, and even train models for performing low-level skills such as traveling towards a ball and shooting it towards the goal[1, 2]. Open-source frameworks have been created for training Reinforcement Learning …

Predicting The Number Of Objects In A Robotic Grasp, Utkarsh Tamrakar

USF Tampa Graduate Theses and Dissertations

Picking up the desired number of objects at once from a pile is still very difficult to dofor a robot. The main challenge is predicting the number of objects in the grasp. This thesis describes several deep-learning-based prediction models that predict the number of objects in the grasp of a Barrett hand using the tactile sensors on its fingers and palm and its joint angles and torque (strain gauge) readings. The deep learning models include various architectures using autoencoders and vision transformers. We evaluated the models with a dataset of grasping 0, 1, 2, 3, and 4 spheres. Then, we …

Watershed Management For Nutrient Control In Taylor Creek And Nubbins Slough, Florida, Rachael Z. Cooper

USF Tampa Graduate Theses and Dissertations

Despite efforts to improve water quality within the watershed since the 1970s, harmful algal blooms (HABs) still occur within Lake Okeechobee (LO). HABs are harmful to the people, the ecosystem, and the economy dependent on the lake. Taylor Creek Nubbins Slough (TCNS) is a subwatershed of the lake, contributing to a large percentage of the nutrient loading. Due to the size and complexity of LO’s watershed, two smaller basins within the TCNS subwatershed were selected to evaluate the following research questions: (1) How do water quality trends contrast between two basins? (2) How do nutrient load and treatment within the …