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. …

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 …

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 …

Re-Centering And De-Centering ‘Race’: An Analysis Of Direct-To-Consumer Genetic Testing Organizational Websites, Beatriz Nieto-Fernandez

USF Tampa Graduate Theses and Dissertations

As direct-to-consumer (DTC) genetic testing technologies become an ever-expanding business in the United States, this dissertation project investigates the ways in which two leading organizations, AncestryDNA and 23andMe, utilize discourses of ‘race’ to connect with their customers. This study is particularly significant because it opens up new avenues of research in the field of organizational communication by engaging with a new genre of organizations and the complexities of biocapitalism, in which genetic data is commodified for consumption. Blending computational scraping of data and manual qualitative analysis of organizational texts and videos available on the corporate websites, while using postcolonial studies …

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 …

Adversarial And Data Poisoning Attacks Against Deep Learning, Jing Lin

USF Tampa Graduate Theses and Dissertations

Machine translation software, image captioning, grammar check (Grammarly), chatbot, real-time captioning and translation, music genre classification, and document classification are a few examples of deep learning applications that achieve outstanding performance in areas where traditional statistical techniques have difficulty performing classification and/or regression. Google translator has over 100 billion daily users and can translate 109 languages instantly (much faster than a human translator). AlphaGo won Lee Sedol, the eighteen-time world champion. Microsoft Team's living captioning provides accurate real-time captioning as a speaker speaks. Deep learning achieves undoubtedly remarkable performance. However, recent studies on adversarial attacks and data poisoning attacks show …

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 …

Application Of The Riemann-Hilbert Method To Soliton Solutions Of A Nonlocal Reverse-Spacetime Sasa-Satsuma Equation And A Higher-Order Reverse-Time Nls-Type Equation, Ahmed Ahmed

USF Tampa Graduate Theses and Dissertations

For many years, the study of integrable systems has been one of the most fascinating branches of mathematics and has been thought to be an interesting area for both mathematicians and physicists alike.Many natural phenomena can be predicted by using integrable systems, particularly by studying their different solutions, as well as analyzing and exploring their properties and structures. They are commonly found in nonlinear optics, plasmas, ocean and water waves, gravitational fields, and fluid dynamics. Typical examples of integrable systems include the Korteweg-de Vries (KdV) equation, the nonlinear Schrödinger (NLS) equation, and the Kadomtsev-Petviashvili (KP) equation. Solitons are intrinsic solutions …

The Esea Waiver From The 1.0 Percent Threshold And Participation Rates In State Assessments., Justin N. Arner

USF Tampa Graduate Theses and Dissertations

Participation of students in standardized testing has been a long-debated topic in the field of education since the beginning of accountability movements. Federal laws require that all students in the public school system in grades 3 -8 and high school participate in these assessments. Monitoring of participation on these assessments is a requirement of a state’s annual reporting across many identifying categories. One such category is students with disabilities identified under the IDEA (2004). Within those students identified as having a disability is a small population of students with a “most significant cognitive disability.” This population of students participates in …

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 …

A Statistical Method For Quantifying Animal Interaction; Combining Time Geography And Simulation, Zachary J. Smith

USF Tampa Graduate Theses and Dissertations

Dynamic interaction (DI) describes the synchronous interaction of one or more individual animals over time. Current methods to quantify DI from tracking data are lacking. They typically require synchronized tracking data which limits their applicability to most studies. They also often do not have built-in tests of significance to evaluate interaction, and if so, rely on random walk models that lack biological realism. This research aimed to develop and evaluate a new way of measuring animal interaction that overcomes these limitations. The goal was to create a statistical method for quantifying and evaluating interaction that is relevant across computational, behavioural, …

Geothermal Development In Kenya: Gender Based Socio-Cultural And Socio-Economic Implications, Faye N. Ricker

USF Tampa Graduate Theses and Dissertations

This dissertation is an ethnographic case study that analyzes the gendered socio-cultural and socio-economic implications for a community that was displaced in order to develop a geothermal energy system in Kenya. The implications are rendered particularly interesting because the displaced community is also one of the communities served by the geothermal power grid. The analysis employs a composite framework of Feminist Political Ecology and the Political Ecology of Climate Change Mitigation. This work explores gendered perceptions and control of energy, livelihood activities, place attachment, and the cultural/spiritual significance of geothermal energy.

Geothermal energy is a potentially promising source of low-carbon …

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 …

Study On New Reactivity Of Vinyl Gold And Its Sequential Transformations, Teng Yuan

USF Tampa Graduate Theses and Dissertations

This dissertation mainly contains three parts: 1) the study of new reactivity of vinyl gold(I) and synergistic gold-iron catalyzed regioselective crossed aldol reaction. 2) synergistic gold-iron catalyzed amide crossed aldol reaction by using ynamides as ‘masked’ amides. 3) alkyne trifunctionalization via divergent gold catalysis: combining three modes of gold catalysis: π activation, nucleophilic addition of vinyl gold and gold redox catalysis. This novel method affords access to constructing C-N, C-O and C-C bond in one step at mild condition.

In the first part, a new reaction mode in gold catalysis will be introduced. Due to the protodeauration of vinyl gold …

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 …

Measuring And Improving Student Attitude In College-Level Chemistry: A Novel Survey Methodology And Social-Psychological Interventions, Ying Wang

USF Tampa Graduate Theses and Dissertations

Students’ attitude has been an important focus in the chemistry education community. However, there is a lack of research in evaluating interventions aiming to improve students’ attitude. Social-psychological interventions (SPIs), brief interventions that target students’ subjective experiences, were demonstrated to improve students’ attitude in instructional settings. In addition, accurately measuring students’ attitude helps researchers better understand the impact of the intervention. Therefore, the major goal of this work is to explore practices, particularly a novel survey methodology and a social-psychological intervention (SPI), to facilitate measuring and improving students’ attitude in college-level chemistry courses. This work also paid particular attention to …

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 …

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, …

Characterizing Explosive Volcanic Eruptions Using Tephra Fall Deposit Data, Robert Constantinescu

USF Tampa Graduate Theses and Dissertations

This dissertation addresses the estimation of the magnitudes and intensities of explosive volcanic eruptions using tephra fall deposits and numerical modeling. Tephra fall deposits retain information about eruption dynamics. Volcanologists sample tephra fall deposits and measure the thickness, extent and grain size distribution to estimate the erupted volume and plume height of explosive eruptions. These terms are known as eruption source parameters. These parameters are used to classify the intensity and magnitude of the eruption on a scale such as the Volcanic Explosivity Index (VEI). Accurate estimation of the intensity and magnitude of explosive eruptions is a crucial factor in …

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 …

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 …

Using Fine-Scale Aquatic Habitat Data To Construct Dreissenid Sdms In The Laurentian Great Lakes, Grace C. Henderson

USF Tampa Graduate Theses and Dissertations

The invasion of the Laurentian Great Lakes by aquatic invasive species (AIS) has been the subject of investigation for decades, due to their dramatic alterations to the ecosystem and high economic costs. Two AIS with the largest impacts are dreissenid zebra and quagga mussels, and though these species have been studied extensively, questions remain about what factors control their distributions, and whether lake warming will alter these distributions. Species distribution models (SDMs) offer a powerful tool to examine the relationship between species presences and environmental variables, which are typically bioclimactic data. The creation of the Aquatic Habitat (AqHab) dataset containing …

The Specifics Of Specific Learning Disability: An Analysis Of State-Level Eligibility Criteria And Response To Intervention Practices, Lora M. Williams

USF Tampa Graduate Theses and Dissertations

The field of specific learning disability (SLD) in the United States has changed considerably since reauthorization of the Individuals with Disabilities Act (IDEA; (§3007); State Education Agencies (SEAs) have been transitioning away from the severe discrepancy model of SLD identification and towards a Response to Intervention (RTI) model (Hauerwas et al, 2013). This study aimed to review SLD practices in the United States through the analysis of SEA documents and to evaluate the progress made since the reauthorization of IDEA. The aim of the current study was to provide a snapshot of 1) how SEA regulations defined SLD; 2) when …