Physical Sciences and Mathematics Commons^™

Exploratory Data-Driven Models For Water Quality: A Case Study For Tampa Bay Water, Sandra Sekyere

USF Tampa Graduate Theses and Dissertations

Water, a crucial resource for sustaining life, covers approximately 70% of the earth's surface. Nonetheless, the quality of water is deteriorating rapidly due to the rapid growth of urban areas and industries, which is a worrying trend causing harm to human health and the ecosystem. Water quality forecasting has a key role in water resources management by enabling effective pollution control, ecosystem monitoring, and decision-making.

Previously, traditional statistical models were used to forecast water quality, but they were unable to examine the non-linear relationships between water quality parameters, and they assumed that all datasets were distributed normally. This study uses …

Classification Of Finite Topological Quandles And Shelves Via Posets, Hitakshi Lahrani

USF Tampa Graduate Theses and Dissertations

The objective of this dissertation is to investigate finite topological quandles and topological shelves. Precisely, we give a classification of both finite topological quandles and topological shelves using the theory of posets. For quandles with more than one orbit, we prove the following Theorem.

Proposition 0.0.1. Let X be a finite quandle with n orbits X₁, ... , X_n. Then any right continuous poset on X is n-partite with vertex sets X₁, ... , X_n.

For connected quandles, we prove the following Theorem.

Theorem 0.0.2. There is no T …

Deep Learning Enhancement And Privacy-Preserving Deep Learning: A Data-Centric Approach, Hung S. Nguyen

USF Tampa Graduate Theses and Dissertations

Deep Learning and its applications have become attractive to a lot of research recentlybecause of its capability to capture important information from large amounts of data. While most of the work focuses on finding the best model parameters, improving machine learning performance from data perspective still needs more attention. In this work, we propose techniques to enhance the robustness of deep learning classification by tackling data issue. Specifically, our data processing proposals aim to alleviate the impacts of class-imbalanced data and non- IID data in deep learning classification and federated learning scenarios. In addition, data pre-processing strategies such that dimensionality …

Applications In Opioid Analysis With Faims Through Control Of Vapor Phase Solvent Modifiers, Nathan Grimes

USF Tampa Graduate Theses and Dissertations

Field Asymmetric Ion Mobility Spectrometry (FAIMS), often coupled with mass spectrometry (MS), offers rapid analytical ion filtration, useful in reducing matrix interference and differentiating isomeric compounds. This study focuses on augmenting FAIMS-MS analyses through the incorporation of gas phase solvents, or "modifiers," inducing dynamic microsolvation, a particularly potent method of analysis enhancement.

Initially, the research utilized a bubbler-based system, incorporating a humidity sensor, improving modifier concentration control when using water. Our application in opioid detection and differentiation revealed considerable advancements. Notably, an increased peak capacity in an opioid mixture and successful separation of the isobaric opioid pair, alfentanil and ortho-isopropyl …

Analysis Of Ostds Failure Potential Due To Sea-Level Rise And Other Inundation Factors: An Integrated Geo-Spatial Analysis, Alec Colarusso

USF Tampa Graduate Theses and Dissertations

While many aspects of climate change are well-studied, the vulnerability of Onsite Sewage Treatment and Disposal Systems (OSTDS) to sea-level rise (SLR) has not been thoroughly examined despite the potentially significant environmental impacts, including nutrient and pathogen loading. Research gaps include the need to determine the suitability of models to predict groundwater inundation due to SLR and the consequent impact on OSTDS. As such, this study aims to compare Bathtub/hydrostatic and physics-based/MODFLOW/3D numerical modeling methods of simulating groundwater inundation from SLR to identify OSTDS vulnerability to failure due to a reduction in the height of the vadose zone (saturation or …

Characteristics And Hydraulic Behavior Of Adsorptive Media For Use In Permeable Reactive Barriers, Shelby Rocha

USF Tampa Graduate Theses and Dissertations

The Cargill ditch is located on the property of Se7en Wetlands, a 1600-ac treatment wetland system in Lakeland, Polk County, Florida. The Se7en Wetlands property was previously utilized for phosphate mining prior to the construction of the system. Nonpoint nutrient sources derived from remnants of abandoned phosphate mines – known as “legacy phosphorus” – become mobilized by stormwater runoff and impair surface water bodies by promoting harmful algal blooms (HABs). Thus, the Cargill ditch likely conveys nutrient rich flow resulting from legacy phosphorus and is thought to be one contributing factor in the occurrence of HABs within the treatment wetland …

Synthesis, Characterization, And Separation Of Loaded Liposomes For Drug Delivery, Sandra Khalife

USF Tampa Graduate Theses and Dissertations

Liposomes are viable candidates for drug delivery vehicles due to their ability to protect loaded compounds, dampen side effects of drugs, and be delivered to target sites in the body. The amphipathic nature of these lipid vesicles makes them very customizable through careful selection of bilayer and aqueous core components as well as synthetic and downsizing methods. However, synthetic methods may result in unencapsulated compounds remaining present alongside loaded liposomes, which require removal before the liposome suspension can be used.

This work explores the use of model DOPC as well as DOPC and CHOL liposomes and the methods that were …

Environmental Chemical Analysis Method Optimization And Application To Northwest Cuban Marine Sediment, Thea R. Bartlett

USF Tampa Graduate Theses and Dissertations

A method for gas chromatography tandem mass spectrometry (GC-MS/MS) in selected reaction monitoring (SRM) mode has been optimized to quantify 250 compounds of a variety of compound classes such as polycyclic aromatic hydrocarbons (PAHs), oxidized PAHs, organochlorinated pesticides, polychlorinated biphenyls, biomarkers (hopanes, steranes, tri-aromatic steroids, and fecal sterols), aliphatic hydrocarbons, and plastic additives. This method was validated based on available QA/QC standards using several environmental samples, both sediment and biota, and standard reference materials. This contaminant-focused method can be used as a forensic geochemistry tool to evaluate oil contamination and other contaminant histories in future research studies. When applied to …

Stable Isotope Analysis Of Doryteuthis (Amerigo) Pealeii Eye Lenses To Determine Migratory Patterns In The Eastern Gulf Of Mexico Using Statoliths For Age Determination, Hannah M. Schwaiger

USF Tampa Graduate Theses and Dissertations

Doryteuthis (Amerigo) pealeii is a common fisheries squid that occurs in the Gulf of Mexico (GoM) and along the east coast of the United States. These squid are an important link in the food web, linking higher and lower trophic positions (Madsen et al., 2007), and they are also used for human consumption. The migration patterns of D. pealeii populations in the northwestern North Atlantic have been thoroughly studied when compared to those in the GoM. This research aims to combine statolith aging and stable isotope analysis to enhance the understanding of D. pealeii migration patterns throughout their short, sub-annual …

Investigation Of Challenging Transformations In Gold Catalysis, Qi Tang

USF Tampa Graduate Theses and Dissertations

This dissertation mainly contains three parts: 1) Divergent gold catalysis for alkyne trifunctionalization, encompassing three distinct modes to achieve the simultaneous formation of C-N, C-O, and C-C bonds in a single step 2) the study and development of a new method to synthesize azaborine derivatives; and 3) the construction of benzotriazole boranes (BTAB) as stable four-coordinate N-B heterocycles through gold-catalyzed alkyne hydroboration.

In the first part, alkyne trifunctionalization via divergent gold catalysis will be introduced. This novel approach involves a sequence of reactions that combine gold π-activation, vinyl gold nucleophilic addition, and gold (III) reductive elimination. By utilizing this methodology, …

Gold-Catalyzed Diyne-Ene Cyclization: Synthesis Of Hetero Polyaromatic Hydrocarbons And 1,2-Dihydropyridines, Jingwen Wei

USF Tampa Graduate Theses and Dissertations

Homogeneous gold catalysts are known as a powerful tool for selectively activating alkynes and are well-developed in the construction of C-C, C-N, and C-O bonds to form complex compounds that are widely used in pharmaceuticals, industries, agriculture, etc. The investigation of gold(I) catalysis on conjugated diyne (compounds having two acetylene groups) enriches the complexity of the bond construction and allows the building of interesting skeletons in organic synthesis. One typical kind of substrate, diyne-ene, has both a conjugated diyne part and a 1,6- enyne part. We developed a new methodology to allow its divergent synthesis to heterocycles.

This dissertation mainly …

Applications Of Seismic And Geodetic Data To Earthquake Hazard Research, Mahsa Afra

USF Tampa Graduate Theses and Dissertations

Being a part of a seismically active zone, including large and crowded cities such asTehran, Qazvin and Semnan, Central Alborz experiences many local earthquakes. Knowl- edge of crustal velocity structure in this area is thus necessary considering its economical and political importance, a large concentration of population, and relatively poor construc- tion practice which increases the earthquake risks in this region. In second chapter of this thesis, we aim at obtaining the 3D crustal velocity structure of the Central Alborz region in northern Iran using local earthquake tomography. We also validate anomalies inferred from our velocity model using an independent …

The Applicability Of The Postmortem Submersion Interval Estimation Formula For Human Remains Found In Subtropical Aquatic Environments, Kara L. Dicomo

USF Tampa Graduate Theses and Dissertations

Within the past decade, several attempts have been made to standardize a method for estimating postmortem submersion intervals (PMSI); however, the majority of these studies have focused on data from a temperate climate which cannot be taken as representative of large portions of the globe. Thus, there are large portions of the earth in which the methodology from these studies may not be able to accurately estimate PMSI which has the potential to leave investigators in these other climatic zones at a disadvantage. This presentation presents a case study into the applicability of two Total Body Scoring Systems (TADS) utilized …

Supramolecular Architectures Generated By Self-Assembly Of Guanosine And Isoguanosine Derivatives, Mengjia Liu

USF Tampa Graduate Theses and Dissertations

This dissertation is primarily divided into three parts: 1) Anion, solvent-mediated, tunable self-assemblies of isoguanosine (isoG). 2) Post-assembly modification of the non-covalent isoG-pentaplex for Cesium extraction. 3) Supramolecular asymmetric amine catalysis.

The structural conformational design of the isoG decamer was employed for systematic investigations involving various substituted groups at the C8 position of purine and ribose. A series of isoG analogs with C8-phenyl substitutions were synthesized and utilized for Cesium coordination. The proximity between purine and ribose structures limited pentaplex formation for C8-phenyl substituted isoG derivatives. Based on this observation, a deoxy isoG derivative with a modified ribose was employed …

Insect Classification And Explainability From Image Data Via Deep Learning Techniques, Tanvir Hossain Bhuiyan

USF Tampa Graduate Theses and Dissertations

Since the dawn of the Industrial Revolution, humanity has always tried to make labor more efficient and automated, and this trend is only continuing in the modern digital age. With the advent of artificial intelligence (AI) techniques in the latter part of the 20th century, the speed and scale with which AI has been leveraged to automate tasks defy human imagination. Many people deeply entrenched in the technology field are genuinely intrigued and concerned about how AI may change many of the ways in which humans have been living for millennia. Only time will provide the answers. This dissertation is …

Enhanced Methods In Forensic Mass Spectrometry For Targeted And Untargeted Drug Analysis, Dina M. Swanson

USF Tampa Graduate Theses and Dissertations

Forensic science has long used mass spectrometry for the analysis of drugsand metabolites. Traditionally, screening methods consisted of color tests or immunoassay and confirmation methods used gas chromatography with mass spectrometry, which was considered the gold standard for identification. In the last several decades, advances in liquid chromatography with mass spectrometry (LCMS) have brought this technology to the forefront of forensic drug identification. Drug identification in forensic drug chemistry and forensic toxicology has become increasingly challenging due to the rapid increase in illicit drug analogs including novel opioids such as fentanyl analogs. Traditional screening methodologies are often unable to identify …

Automated Approaches To Enable Innovative Civic Applications From Citizen Generated Imagery, Hye Seon Yi

USF Tampa Graduate Theses and Dissertations

Smart governance is an area, that is increasingly becoming important, not only in advanced countries, but all across the globe. Thanks to global scale network connectivity, permeance of smart-devices of various form-factors, and overall improvement in digital literary, we are now seeing "smartness" everywhere, or if not, the general public is expecting the same. Ultimately, the goal of smart governance is to facilitate state-of-the-art technologies to improve citizens’ lives. With the ubiquity of smart phone technologies today, citizens more readily participate in collaboration with public officials for improved quality of life and their communities. By utilizing optimal tools, public officials …

Essays On Cybersecurity And Information Privacy, Moez Hamedani Farokhnia

USF Tampa Graduate Theses and Dissertations

This dissertation research focuses on two key aspects of cybersecurity research. Security safeguard allocation, and AI-powered tools for anomaly detection. The first dissertation essay (Chapter 1) proposes a novel framework for the allocation of security countermeasures in the presence of uncertainty using robust optimization technique. The second dissertation essay (Chapter 2) studies the impact of algorithmic bias on the practice of insider threat detection in Electronic Health Record Systems and proposes a mitigations strategy. The final dissertation essay (Chapter 3) investigates how the biases of anomaly detection algorithms, and the characteristics of ensemble methods relate to the ensembles’ accuracy and …

Predicting Groundwater Spring Locations From Topographic And Climatic Data Using Maxent Modeling, Ayten Ece Koc

USF Tampa Graduate Theses and Dissertations

The World Resources Institute reveals that 17 countries face extremely high levels of water stress. Moreover, with increasing population and industrialization, the gap between water supply and demand increases day by day around the world. Groundwater is a key freshwater source, and springs are important resources as they enable to access groundwater. Therefore, it is crucial to monitor, protect, and manage groundwater springs. The first step in spring management is to recognize and define freshwater resources and to determine the locations of groundwater springs that serve as natural discharge points. Traditionally, field studies have been employed to determine the locations …

Exploring Time-Varying Extraneous Variables Effects In Single-Case Studies, Ke Cheng

USF Tampa Graduate Theses and Dissertations

The effect of time-varying extraneous variables has been studied in other statistical analyses such as using Kaplan–Meier or Cox regression analysis in survival analyses. Nonetheless, the effect of modeling versus not modeling individual specific time varying extraneous variables has not been explored in multiple-baseline single case designs through Monte Carlo simulation studies. Therefore, in my dissertation, I used simulation methods to explore for a variety of conditions (varying in the number of participants, number of observations per participant, type of extraneous variable effect, size of the true intervention effect) the impact of extraneous variables on bias and standard error of …

Prepare For, Respond To, Recover, And Learn From Disasters: Using Data-Driven Methods To Model And Understand Disaster Resilience, Jinwen Xu

USF Tampa Graduate Theses and Dissertations

Community resilience reflects the ability of human communities to prepare for, respond to, recover, and learn from disastrous events. Community resilience carries different meanings in different phases of disaster management (i.e., preparedness, response, recovery, and mitigation). With the emergence of new geospatial data sources, human activities now can be captured through social media, mobile signals, and nighttime illuminations, which makes it possible to describe the conditions among various communities before, during, and after disasters. Therefore, this dissertation explored the use of different types of geospatial data sources (social media, nighttime light remote sensing, land-use data, and census survey data) during …

A Seismic Investigation Of Uturuncu Volcano And The Lazufre Volcanic Complex, Heather L. Mcfarlin

USF Tampa Graduate Theses and Dissertations

The following dissertation is a study of three seismological techniques used to determine the geophysical properties of two large, inflating magma bodies in the upper crust in South America: one under Uturuncu volcano and one beneath Lastarria and Cordon del Azufre volcanoes. First, I use the method of teleseismic receiver functions to image the top and bottom of the magma body beneath Uturuncu volcano. Depths to the top of this body vary between 6 and 12 km below sea level, while depths to the bottom vary between 13 and 22 km below sea level, with the thickness ranging from 6 …

Rational Functions Of Degree Five That Permute The Projective Line Over A Finite Field, Christopher Sze

USF Tampa Graduate Theses and Dissertations

Rational functions over a finite field Fq induce mappings from the projective line P1(Fq) to itself. Rational functions that permute the projective line are called permutation rational functions (PRs). The notion of permutation rational functions is a natural extension of the permutation polynomials which have been studied for over a century. Recently, PRs of degrees up to four have been determined. This dissertation is a project aimed at determining PRs of degree five.

Rational functions of degree five (excluding those that are equivalent to polynomials) are divided into five cases according to the factorization of their denominators. Our main results …

V2v And V2i Based Safety And Platooning Algorithms For Connected And Autonomous Vehicles, Omkar Dokur

USF Tampa Graduate Theses and Dissertations

Connected Vehicles (CVs) make transportation safe by communicating with vehicles and the infrastructure in their neighborhood. CVs are embedded with onboard units (OBUs) which transmit basic safety messages (BSMs) containing the location, heading, and velocity information of the vehicle using either Dedicated Short-Range Communications (DSRC) or Cellular Vehicle-to-Everything (C-V2X) technology. These BSMs can be used to warn drivers using various vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) applications. Along with these applications, CV technology also gives rise to cooperative vehicular driving applications such as platooning. A group of vehicles can negotiate and drive jointly close to each other in a cooperative manner …

Matrix Models Of 2d Critical Phenomena, Nathan Hayford

USF Tampa Graduate Theses and Dissertations

The 2D Ising model has played an important role in the theory of phase transitions, as one of only ahandful of exactly solvable models in statistical mechanics. The original model, introduced in the 1920s, has a rich mathematical structure. It thus came as a pleasant surprise when physicists studying matrix models of 2D gravity found that, coupled to quantum gravity, the planar Ising model still had an elegant solution. The methods used by V. Kazakov and his collaborators involved the method of orthogonal polynomials. However, these methods were formal, and no direct analytic derivation of the phase transition has been …

Considerations For Curricular Reform In Undergraduate Chemistry: Cooperative Adoption Factors, Modeling Social Influence, And Focusing On Specific Populations, Jacob D. Mcalpin

USF Tampa Graduate Theses and Dissertations

This dissertation will go through the details of three projects highlighting considerations for curricular reforms in undergraduate chemistry. Improving the teaching of chemistry is facilitated by considering the problem from multiple directions, namely, faculty and students. In addition to the multiple perspectives, this dissertation also seeks to bring new methodologies into the spotlight to improve the toolbox for other chemistry or discipline-based education researchers. Additionally, this dissertation has shown in several locations how focusing in on subgroups within populations can reveal findings that would not have been apparent from a global average of the population. The three project describes in …

Recovering Generators Of Principal Ideals Using Subfield Structure And Applications To Cryptography, William Youmans

USF Tampa Graduate Theses and Dissertations

The principal ideal problem (PIP) is the problem of determining if a given ideal of a number field is principal, and if so, of finding a generator.Algorithms for resolving the PIP can be efficiently adapted to solve many hard problems in algebraic number theory, such as the computation of the class group, unit group, or $S$-unit group of a number field. The PIP is also connected to the search for approximate short vectors, known as the $\gamma$-Shortest Vector Problem ($\gamma$-SVP), in certain structured lattices called ideal lattices, which are prevalent in cryptography. We present an algorithm for resolving the PIP …

Data-Driven Learning Algorithm Via Densely-Defined Multiplication Operators And Occupation Kernels., John Kyei

USF Tampa Graduate Theses and Dissertations

Consider a nonautonomous nonlinear evolution $\dot{x}=f(x,t,\mu)$, where the vector $x(t) \in \mathbb{R}^n$ represents the state of the dynamical system at time $t$, $\mu$ contains system parameters, and $f(\cdot)$ represents a dynamic constraint. In most practical applications, the nonlinear dynamic constraint $f$ is unknown analytically. The problem of approximating $f$ directly from data measurements generated by the system is a main goal of this manuscript. In the postulates of the Nonlinear Autoregressive (NAR) framework, we show that the problem of approximating $f$ can be studied through symbols of densely defined multiplication operators over a Reproducing Kernel Hilbert Spaces (RKHS). In this …

Exploring Scalability Of Multimodal User Interface Design In Virtual And Augmented Reality, Sarah M. Garcia

USF Tampa Graduate Theses and Dissertations

Use of Extended Reality (XR) technology such as Augmented Reality (AR) and Virtual Reality (VR) has experienced significant growth, with continuous advances in mobile technology and head-mounted display (HMD) headset development. As applications that span more than one type of reality have started to emerge, there is a need for additional research regarding the user interfaces (UIs) developed for these multimodal systems. While some work exists towards the creation of UI design guidelines in AR and in VR, little to no work has been done in providing recommendations for designing interfaces that work successfully across multiple XR modalities. To explore …

Statistical Analysis Of Ribonucleotide Incorporation In Human Cells, Tejasvi Channagiri

USF Tampa Graduate Theses and Dissertations

During the DNA replication process, ribonucleotides, the building blocks of RNA, may be occasionally incorporated in the newly synthesized DNA. DNA is primarily composed of deoxyribonucleotides and there exist cellular mechanisms for removing ribonucleotides from DNA, which may point towards ribonucleotide incorporation being a replication error. Further, an excess of these ribonucleotides in the genome has been known to lead to genomic instability and has been implicated in human diseases. However, there are also hypotheses that suggest that ribonucleotides may be beneficial in certain circumstances. In this study we examine ribonucleotide incorporation in the human genome in several human cell …