Digital Commons Network^™

Predicting Ph At In-Situ Temperature For Aquatic Environments, Sarah E. Bartoloni

USF Tampa Graduate Theses and Dissertations

pH is typically measured at a constant temperature and, as needed, converted to in-situ temperature using a system of thermodynamic equations. Using this equilibrium approach, adjustment of pH to in situ conditions requires two measured CO2 system parameters (pH, total alkalinity, dissolved inorganic carbon, or CO2 fugacity). Currently, when pH is the only measured CO2 system parameter, linear models are used to adjust the pH to in-situ temperature. Although many studies have attempted to optimize CO2 equilibrium constants (K1 and K2) for the CO2 system over a range of conditions, very little prior work has experimentally examined which CO2 system …

Essays On Machine Learning And Corporate Disclosure, Zicheng (Leo) Xiao

USF Tampa Graduate Theses and Dissertations

This dissertation contains two essays that shed new light on the dynamic of information disclosure on the capital market. For both two essays I leverage computational linguistics and 20 million turns of dialogues from earnings conference calls from 2006-2022. In the first essay, I introduce a novel measure that quantifies the disparity in narrative focus between managers’ disclosures and analysts’ questions during these calls, denoted as Topic Attention Divergence (TAD). A higher level of TAD indicates a higher level of firm-investor asymmetry and lower information quality. My results confirm that higher TAD in earnings conference calls inversely (positively) predict firms’ …

Us Elementary Teachers’ Perspectives With The Use Of Rubrics In Elementary Classrooms: A Shift From Traditional Assessment To Alternative Assessment, Roaa Adel Alajaji

USF Tampa Graduate Theses and Dissertations

This study was conducted to explore US elementary teachers’ perceptions of their experiences using rubrics as a tool for student self-assessment and metacognition (assessment for learning) to improve elementary students’ achievement and their instructional decision-making at a private American elementary school in South Florida. The constructivist learning theory by Piaget (1970) and Vygotsky (1978), which emphasized that knowledge is best gained through the interaction of experiences and ideas in one’s mind and the interaction with others, framed the study. Three semi-structured interviews were conducted with eight elementary teachers: three third-grade teachers, three fourth-grade teachers, and two fifth-grade teachers. Using thematic …

Sargassum In The Florida Keys: Assessment Using High Resolution Remote Sensing, Sarah “Sully” Sullivan

USF Tampa Graduate Theses and Dissertations

Pelagic Sargassum in the Atlantic Ocean, one type of floating macroalgae, has increased in biomass and extent since 2011, bringing environmental, health, and economic issues to coastal communities. The introduction of large quantities of Sargassum to the Florida Keys, a tourism hub renowned for coral reef and marine diversity, poses a potentially devastating threat. Currently, Sargassum mats are widely monitored using medium resolution satellite imagery such as those collected by the Moderate Resolution Imaging Spectroradiometer (MODIS, 1km) and spectral band difference algorithms such as the Alternative Floating Algae Index (AFAI), but the resulting maps lack the detail and nearshore certainty …

Exploring The Dynamics Of September Fish Spawning On The West Florida Shelf Through The Dna Barcoding Of Fish Eggs, Keith G. Keel

USF Tampa Graduate Theses and Dissertations

Identifying spawning areas for economically and ecologically important fishes is critical for fisheries conservation and ecosystem-based management. Additionally, monitoring the spawning dynamics of fishes is increasingly important as temperatures and oceanic conditions change. I used genetic barcoding to identify fish eggs collected across the West Florida Shelf (WFS) during September of 2013, 2014, and 2019. Fish eggs were collected on National Oceanic and Atmospheric Administration (NOAA) Southeast Area Monitoring and Assessment Program (SEAMAP) ichthyoplankton cruises using a Continuous Underway Fish Egg Sampler (CUFES). Analysis of 4,400 fish eggs from the three years resulted in the identification of 83 unique species …

Modeling And Optimization Of Time Delay Unit Network Architectures For Reducing Complexity Of Ultra- Wideband Phased Antenna Arrays, Daniel A. Ramirez

USF Tampa Graduate Theses and Dissertations

This dissertation presents a systematic technique for modeling and optimization of the hierarchical time delay unit (TDU) architectures of ultra-wideband (UWB) phased antenna arrays (PAAs). The first major contribution of this dissertation is the optimization of a linear PAA by casting the problem in the standard form of integer linear programming (ILP) optimization with an objective function that targets minimizing the total number of TDUs within the RF feed network fanout while maintaining phase error and manufacturability constraints. This optimization can significantly reduce the cost, power, and complexity of UWB PAAs in contrast to prior methods that iteratively converge on …

Abundance, Distribution, And Diversity Of The Paralarval Cephalopod Community In The Northern Gulf Of Mexico, Shannon Leah Riley

USF Tampa Graduate Theses and Dissertations

The abundance, distribution, and diversity of cephalopod paralarvae from the upper water column (0-130 meters) in the northern Gulf of Mexico (GOM) was studied using samples collected during six ichthyoplankton surveys between 2009 and 2012. A total of 2240 cephalopod paralarvae belonging to 21 families were examined. Octopodidae, Enoploteuthidae, and Ommastrephidae were the most abundant taxa collected in the time series. Five taxa had significantly different abundances between some sampling periods, while no significant differences in abundance occurred between any GOM regions (northwest GOM shelf, north-central GOM shelf, West Florida Shelf, GOM slope, and GOM basin). The majority of taxa …

High School Acceleration And First-Year College Student Success: Do Advanced Placement Or Dual Enrollment Influence College Persistence Differently, Serge W. Desir Jr.

USF Tampa Graduate Theses and Dissertations

The proliferation of Advanced Placement (AP) and Dual Enrollment taken by high school students expanded over the past few decades due concerted efforts to make the accelerated mechanisms more available to historically underrepresented groups and to reduce the cost of higher education. Supported by years of research correlating improved first-year college performance to enrollment in such programs, AP and Dual Enrollment also allow students to earn college credit prior to enrolling at post-secondary institutions, further enhanced their appeal. Despite this enhanced popularity, little research has been done on whether there are any indications of different academic outcomes by the accelerated …

Spectral Properties Of Wetlands In Michigan Using Remote Sensing To Identify And Classify Wetlands In Roscommon County, Michigan, Kolin Williamson

USF Tampa Graduate Theses and Dissertations

Biological, geological, and physical. These are only a handful of the many environmental aspects that wetlands functions maintain and protect. Unfortunately, wetlands within the United States have been razed at an alarming rate. The State of Michigan has not gone through this unscathed either, loosing over 1000 acres of wetland a year. One of the most important tools to prevent this destruction are the maps and programs that show where these essential ecosystems are located. The current, federally-created maps and imaging software in use by environmental consultants and contractors may not be up to date which can pose challenges for …

Mathematics Teacher Preparation Reimagined: The Exploration Of Preservice Teachers Planning Culturally Responsive Mathematics Lessons Using Culturally Relevant Mathematics Tasks, Lakesia L. Dupree

USF Tampa Graduate Theses and Dissertations

Equipping teachers with the knowledge, skills, and dispositions deemed necessary to work with students from diverse populations is a documented need that plagues teacher education. Furthermore, the influx of students from diverse backgrounds enrolled in United States schools intensifies the need to prepare the future generation of teachers to be equipped to provide learning opportunities for each and every student in their classroom. This paper highlights the importance of culture and the integral place it holds when supporting current and future teachers with planning and subsequently enacting culturally responsive mathematics and culturally relevant mathematics tasks in their middle grades mathematics …

The Effect Of Fixed Time Delays On The Synchronization Phase Transition, Shaizat Bakhytzhan

USF Tampa Graduate Theses and Dissertations

Nature is full of synchronization phenomena, which are essential to many scientific fields like biology, chemistry, physics, and neuroscience. The Kuramoto model is a well-known theoretical model that helps explain the fundamental ideas behind synchronization dynamics [6]. Nevertheless, in practical situations, systems frequently display intrinsic latency, which can greatly impact their behavior during synchronization. This insight inspired our work, which looks at the results of adding temporal delays to the Kuramoto model. In particular, we investigate how the system’s synchronization dynamics are affected by delays. We shed light on the mechanisms underpinning synchronization in the face of temporal delays and …

Modeling The Human Learning Process Using An Industrial Steam Boiler Analogy To Design A Psychophysiological-Based Hypermedia Adaptive Automation System, Liliana María Villavicencio López

USF Tampa Graduate Theses and Dissertations

This dissertation aims to address the existing gap in the integration of various dimensions within the student learning system, encompassing cognitive, emotional, and physical variables. The primary objective is to construct a Personalized Learning Adaptive Automation model using Electroencephalography (EEG) technology.

To provide deeper insight into the intricate nature of the Human Learning Process, this study introduces a novel analogy with an Industrial Steam Boiler. This analogy serves as a distinctive contribution to research in the field.

The research methodology involved the collection of brainwaves data from engineering students while they undertook educational tasks of varying levels of difficulty, categorized …

Development Of Novel Analytical Methods For The Investigation Of Mammalian Tissues And Cells, Grace A. Binder

USF Tampa Graduate Theses and Dissertations

This dissertation endeavors to advance the frontiers of analytical chemistry by addressing critical challenges across three distinct chapters. In the first chapter, the focus is on the evaluation of digestion methods for the analysis of trace metals in mammalian tissues and the Standard Reference Material NIST 1577c. The primary goal is to optimize methodologies, laying the groundwork for reliable trace metal analysis and furthering our understanding of their roles in biological systems.

Transitioning into the realm of immunomodulation, the second chapter elucidates immune response, disease and treatment through the optimization and discovery of STING modulators, utilizing the luciferase assay for …

Time-Scale Of Groundwater Recharge In Coastal Plain Soils, Qing Du

USF Tampa Graduate Theses and Dissertations

Understanding and modeling the timing and magnitude of groundwater recharge fromrainfall infiltration through vadose zone percolation is important for many reasons but especially because the flux is being acted on by root zone evapotranspiration (ET) and very little of rainfall infiltration ever becomes water table recharge. This study elaborates on the considerable time of the wetting front arrival and ultimate bulk recharge of rainfall infiltration in shallow water table fine-sandy soils typical of coastal plain environments such as Florida. Calibrated Hydrus-1D modeling of Florida (Myakka) soil was evaluated at varying depths of water table and hydraulic conductivities to bracket the …

Context-Aware Affective Behavior Modeling And Analytics, Md Taufeeq Uddin

USF Tampa Graduate Theses and Dissertations

Affective computing (AC) is a sub-domain of AI that has the potential to assist people by assessing mental states and making appropriate recommendations to patients, loved ones, caregivers, and domain experts. Humans usually produce an enormous amount of data (such as face videos) every day. One of the major challenges for affective computer vision is to efficiently deal with high volumes of data to facilitate automated model development. To cope with this challenge, we developed computer vision algorithms that measure the expressivity of the human face from video data. More precisely, the developed algorithms can map complex affect information from …

Quandle Rings, Idempotents And Cocycle Invariants Of Knots, Dipali Swain

USF Tampa Graduate Theses and Dissertations

Quandles are sets with self-distributive binary operations that axiomatize the three Reidemeister movesin classical knot theory. In an attempt to bring ring theoretic techniques to the study of quandles, a theory of quandle rings analogous to the classical theory of group rings where several interconnections between quandles and their associated quandle rings have been explored. Functoriality of the construction implies that morphisms of quandle rings give a natural enhancement of the well-known quandle coloring and quandle 2 cocycle invariant of knots and links.

The dissertation is structured into two main parts. In the first part, we delve into quandle rings …

Local Ecological Knowledge, Education, And Bilingualism: Ethnography Of A Stem Program For Elementary Students In Southwestern Florida, Barbara D. Herrera

USF Tampa Graduate Theses and Dissertations

In response to the limited inclusion of cultural relevant pedagogy in Science, Technology, Engineering, and Mathematics (STEM) centered educational programs, this study illustrates dynamics that encourage inclusivity and provide a space for minority students to develop self-efficacy while also exposing them to formal modes of STEM knowledge. Elementary level English/Spanish speaking children were taught local ecological knowledge (LEK) during a STEM summer program in a city in Southwestern Florida. The use of participant observation, group interviews with the students, and interviews with the educators allowed for an in-depth analysis of the program and the established goals. This study provides insight …

Comparative Analysis Of Time Series Models On U.S. Stock And Exchange Rates: Bayesian Estimation Of Time Series Error Term Model Versus Machine Learning Approaches, Young Keun Yang

USF Tampa Graduate Theses and Dissertations

This study presents a comparative analysis of contemporary applications of time series models, focusing on the Bayesian approach. In contrast to many nonparametric studies, the Bayesian approach circumvents the common issue of bandwidth selection by offering systematic estimation and avoiding ad hoc methods. Specifically, we delve into the Bayesian approach for estimating the autocovariance function of a time series model’s error term. Traditional time series models often make the unrealistic assumption of a constant error term. Furthermore, models such as autoregressive conditional heteroskedasticity (ARCH) and general autoregressive conditional heteroskedasticity (GARCH) address the limitation of constant variance by assuming an autoregressive …

Beach Processes Controlling Erosional Hotspots And Their Influences On Beach Nourishment Performances: A Case Study Along West-Central Florida Barrier Island Beaches, Sophia Gutierrez

USF Tampa Graduate Theses and Dissertations

This study examines the long-term performance of repeated beach nourishment over an approximately 35-year period at two barrier islands, Sand Key and Treasure Island along the west-central Florida coast, USA. Five cycles of beach nourishment on Sand Key and six on Treasure Island were conducted during the study period. Three erosional hotspots were identified along a combined 14-km stretch of the nourished beach. The processes that cause the erosional hotspot were examined through numerical modeling of nearshore wave and current fields.

The most recent three nourishments since 2006 were monitored systematically by this study. Beach profiles were surveyed bimonthly to …

Advancing Text Summarization And Classification: Deep Insights From Transformer-Based Statistical Learning, Kun Bu

USF Tampa Graduate Theses and Dissertations

Artificial Intelligence (AI) is a part of human's daily life nowadays. Machine Learning (ML) as one aspect from AI has been rapidly developing during the past two decades, especially from the statistical learning approaches, which emphasized the use of probability and statistics to model data, such as Support Vector Machines (SVMs) for classification and regression tasks to the ensemble learning techniques, such as Random Forest, Gradient Boosting Machine (GBM), and stacking. Ensemble learning has evolved into a pivotal concept in contemporary machine learning, empowering practitioners to amalgamate multiple models to enhance generalization, accuracy, and robustness. As the field of machine …

Iron Isotope Transformations In Saanich Inlet, Claire Onak

USF Tampa Graduate Theses and Dissertations

Iron (Fe) is required for many biogeochemical processes, with Fe bioavailability and chemistry being controlled by redox reactions that transform Fe between oxidation states and dissolved and particulate phases. In oxic seawater, Fe is present in the Fe(III) oxidation state, mainly as Fe oxyhydroxides. Under anoxic marine conditions, such as margin sediments under oxygen minimum zones or restricted basins with anoxic bottom water, Fe(III) is reduced to Fe(II), which is highly soluble and can be present at high concentrations ([Fe]). Fe isotope ratios (δ56Fe relative to IRMM-14) can be used to characterize Fe redox transformations, constrain Fe sources of Fe …

Individual Behavioral Modeling Across Games Of Strategy, Logan Fields

USF Tampa Graduate Theses and Dissertations

An individual’s actions in a particular environment and with specified resources can reveal their decision-making tendencies and patterns, and by analyzing the variations in cognitive traits among individuals, it may be possible to identify trends that can foretell their future behaviors. This can be a powerful tool in various fields including cognitive modeling, player analytics, computer security, and threat detection. Collectible card games are a fruitful test space for studying cognitive differences in decision-making, as they can have clearly defined and replicable environments and large player bases. As such, in this work, I explore the potential of using two virtual …

Thermal Ecology And Swimming Performance Of Native Tadpoles Dryophytes Femoralis In Central Florida, Jessalyn Aretz

USF Tampa Graduate Theses and Dissertations

Urbanization and climate warming have contributed to global amphibian declines in recent decades. Amphibians are particularly vulnerable to climate and urban-induced warming because their physiological processes are dependent on temperature across all life stages, but few studies have been done on tadpole responses to warming in comparison to adult responses. The study objective was to determine how the thermal ecology and swimming performance of a native Florida tadpole varied with rearing temperature and urban level, and whether these traits are plastic or adaptive. We collected eggs from wild populations of pine woods treefrog (Dryophytes femoralis) tadpoles at an urban and …

The Integration Of Assistive Technology By Female In-Service Teachers Of Students With Learning Disabilities In Saudi Arabia: A Qualitative Interview Study, Badriah Alotaiby

USF Tampa Graduate Theses and Dissertations

The aim of this study is to explore the teachers’ perceptions of integrating assistivetechnology into the curriculum for students with learning disabilities in Saudi Arabia. It is known that teaching students with learning disabilities had been one of the significant difficulties in the past and nowadays. Therefore, integrating assistive technology into the educational process would make it easier for the teachers of students with learning disabilities to teach these students through the use of integrating assistive technology. The use of such assistive technologies will be beneficial for learning disabilities students as well. The main question guiding this research is: What …

Advancing Depth-Storage-Discharge Modeling In Regional Hydrology, Fahad Alshehri

USF Tampa Graduate Theses and Dissertations

This dissertation presents the development of an innovative approach to populating rating characteristics and supporting hydrologic modeling, designed to simplify complex real-world hydrological systems and accurately estimate their responses to rainfall, runoff, baseflow and evaporation stresses. The core of this research addresses the challenges inherent in characterizing hydrography elements in hydrologic modeling, particularly in regions lacking comprehensive stream reach survey data, flow and stage. This issue is pronounced in areas with extensive wetland hydrography, where traditional modeling requires intensive manual calibration, and course rating data that are often unavailable. To overcome these challenges, this study introduces a novel procedure that …

Introductory Geology Laboratory Students' Learnings From And Perceptions Of Physical And Virtual Polarizing Light Microscopes – An Exploratory Mixed Methods Study, Christy M. Bebeau

USF Tampa Graduate Theses and Dissertations

Undergraduate geoscience laboratory courses provide hands-on learning about earth materials. However thin section analysis is not typically included in introductory geology laboratories, likely due to the polarizing light microscope (PLM) costs. Therefore, there is a lack of research about the educational outcomes of novices learning these skills.

In this inquiry, I conducted mixed methods research about novice students' learning of thin section analysis in an introductory geology laboratory and evaluated learning and perception differences between students who used a virtual PLM and those who used a physical PLM. I collected data from Creative Exercise (CE) assessments in student midterm and …

Integrated Process Modeling, Techno-Economic Analysis And Life Cycle Assessment For Enhanced Biogas-To-Energy Sustainability And Efficiency, Rarosue Jennifer Amaraibi

USF Tampa Graduate Theses and Dissertations

This dissertation aims to enhance the cost competitiveness and minimize the environmental footprint of technologies that convert biogas to energy, contributing to global climate change mitigation efforts. Biogas, a by-product of the anaerobic decomposition of organic waste from various sources, is a renewable energy source with the potential to reduce carbon emissions and meet local energy needs. However, widespread adoption requires the development of economically viable and environmentally friendly technologies.The central hypothesis of this dissertation suggests that by adopting a holistic strategy that combines cutting-edge techniques to purify biogas and improve its conversion into valuable liquid fuels, we can substantially …

A Gateway To Next-Generation Patient Monitoring System, Kishore Kumar Kadari

USF Tampa Graduate Theses and Dissertations

Healthcare patient monitoring is undergoing a significant digital transformation, and the integration of Cyber-Physical Systems (CPS) and Artificial Intelligence (AI) is becoming increasingly crucial in reshaping patient care. In an era where digital technology is revolutionizing medical practices, this research aims to take a leading role in advancing a fundamental aspect of predictive and sustainable healthcare practices, enhancing patient outcomes and uplifting the practice of medicine.

This research focuses on the study of Digital Twins for precision health, which are designed to monitor and provide intricate, personalized feedback dynamically during a patient's healthcare experience. The architecture of the system is …

Development Of Data-Driven Models To Predict Chemical Dosage And Energy Intensity For Different Supply Sources Of Drinking Water, Rehnuma Salsavil

USF Tampa Graduate Theses and Dissertations

As part of the UN Sustainable Development Goals (SDG6), access to clean water for the entire population and sustainable management of water resources have been stressed. Demand for water is increasing due to population growth, economic development, water quality degradation, and climate change. More water needs to be produced for the community at lower treatment costs. The chemical dosage and energy intensity are two important factors that influence water treatment costs and sustainable management of resources as well.

Previously, chemical dosage modeling to reduce treatment costs have been explored but there have been more focus in coagulant dosage modeling. Other …

Home Is Where The Work Is: How Biases In Managers’ Resource Allocation Decisions Affect Task Performance In Remote Work Environments, Richard D. Mautz Iii

USF Tampa Graduate Theses and Dissertations

As the use of remote and hybrid work arrangements continues to grow, it is important to understand how these arrangements can yield performance. In this paper, I conduct two studies to examine how the remote work environment affects managers’ task assignment decisions across different task types and how those decisions affect workers’ task performance. First, I survey managers, in both a cross-section of industries and specifically in accounting, to study the effect of remote work on their task assignment decisions. Consistent with prior literature and economic theory, I predict and find that managers are more inclined to assign generative tasks …