Digital Commons Network^™

Can We Talk?: Synergistic Effects Of Cognitive And Behavioral Frameworks To Address Substance Use And Abuse, Lauren Jaye Adams

USF Tampa Graduate Theses and Dissertations

Behavioral economic accounts of substance use have provided a novel framework to examine constraints that affect behaviorally driven outcomes. Several behavioral studies support the application of such frameworks to examine impulsive decision-making processes as well as how subjective reward influences substance use. Based on stimulus-response models, behavioral economic research often applies mathematical formulas to draw conclusions about behavioral outcomes. These mathematical formulas, while useful, largely ignore decades of cognitive psychology research that have examined state-based influences (e.g., mood, environment, motivational processes, etc.) on behavioral sequelae. To address this issue, the present study merged a cognitive framework into two behavioral economic …

Machine Learning And Adaptive Signal Processing Methods For Electrocardiography Applications, Calvin A. Perumalla

USF Tampa Graduate Theses and Dissertations

This dissertation is directed towards improving the state of art cardiac monitoring methods and automatic diagnosis of cardiac anomalies through modern engineering approaches such as adaptive signal processing, and machine learning methods. The dissertation will describe the invention and associated methods of a cardiac rhythm monitor dubbed the Integrated Vectorcardiogram (iVCG). In addition, novel machine learning approaches are discussed to improve diagnoses and prediction accuracy of cardiac diseases.

It is estimated that around 17 million people in the world die from cardiac related events each year. It has also been shown that many of such deaths can be …

Early Childhood Mathematics Through A Social Justice Lens: An Autoethnography, Jennifer Ward

USF Tampa Graduate Theses and Dissertations

The purpose of this autoethnography was to explore the experiences, both successes and challenges, as I worked to teach mathematics using a social justice framework in a summer enrichment camp with four and five-year-old children. Drawing from both critical approaches (Freire, 1968) and sociocultural approaches (Rogoff, 2008), this dissertation outlines critical perspectives within Early Childhood Education, as well as trends in teaching mathematics for social justice to frame the research study. Autoethnography was selected as a methodological approach in this study as I examined my own teaching experiences and journey engaging in teaching mathematics for social justice. Primary data sources …

Photopolymerization Synthesis Of Magnetic Nanoparticle Embedded Nanogels For Targeted Biotherapeutic Delivery, Daniel Jonwal Denmark

USF Tampa Graduate Theses and Dissertations

Conventional therapeutic techniques treat the patient by delivering a biotherapeutic to the entire body rather than the target tissue. In the case of chemotherapy, the biotherapeutic is a drug that kills healthy and diseased cells indiscriminately which can lead to undesirable side effects. With targeted delivery, biotherapeutics can be delivered directly to the diseased tissue significantly reducing exposure to otherwise healthy tissue. Typical composite delivery devices are minimally composed of a stimuli responsive polymer, such as poly(N-isopropylacrylamide), allowing for triggered release when heated beyond approximately 32 °C, and magnetic nanoparticles which enable targeting as well as provide a mechanism for …

Quantifying And Modeling Surface Inflow And Groundwater Infiltration Into Sanitary Sewers In Southern Pinellas County, Fl, Megan E. Long

USF Tampa Graduate Theses and Dissertations

Following large rain events, excess flow in sanitary sewers from inflow and infiltration (I/I) cause sanitary sewer overflows (SSO), resulting in significant problems for Pinellas County and the Tampa Bay area. Stormwater enters the sanitary sewers as inflow from improper or illegal surface connections, and groundwater enters the system as infiltration through cracks in subsurface infrastructure. This pilot study was designed to develop methods to separate and quantify the components of I/I and to build a predictive model using flowmeter and rainfall data.

To identify surface inflow, daily wastewater production and groundwater infiltration patterns were filtered from the flow data, …

Active Cleaning Of Label Noise Using Support Vector Machines, Rajmadhan Ekambaram

USF Tampa Graduate Theses and Dissertations

Large scale datasets collected using non-expert labelers are prone to labeling errors. Errors in the given labels or label noise affect the classifier performance, classifier complexity, class proportions, etc. It may be that a relatively small, but important class needs to have all its examples identified. Typical solutions to the label noise problem involve creating classifiers that are robust or tolerant to errors in the labels, or removing the suspected examples using machine learning algorithms. Finding the label noise examples through a manual review process is largely unexplored due to the cost and time factors involved. Nevertheless, we believe it …

Lost In The Crowd: Are Large Social Graphs Inherently Indistinguishable?, Subramanian Viswanathan Vadamalai

USF Tampa Graduate Theses and Dissertations

Real social graphs datasets are fundamental to understanding a variety of phenomena, such as epidemics, crowd management and political uprisings, yet releasing digital recordings of such datasets exposes the participants to privacy violations. A safer approach to making real social network topologies available is to anonymize them by modifying the graph structure enough as to decouple the node identity from its social ties, yet preserving the graph characteristics in aggregate. At scale, this approach comes with a significant challenge in computational complexity.

This thesis questions the need to structurally anonymize very large graphs. Intuitively, the larger the graph, the easier …

Validity Of A New Measure Of Phonemic Awareness That Does Not Require Spoken Responses In Children With Complex Communication Needs, Tiffany Chavers

USF Tampa Graduate Theses and Dissertations

Children with complex communication needs (CCN) routinely have difficulty attaining appropriate literacy skills. Two indicators of literacy development are the alphabetic principle and phonemic awareness (Byrne & Fielding-Barnsley, 1989). The acquisition of minimal literacy skills such as letter sound knowledge can give children with CCN the opportunity to communicate and generate their own messages, instead of being reliant on vocabulary provided by others. In order to identify appropriate intervention approaches, nonverbal assessments of phonological and phonemic awareness for individuals with CCN are needed.

The purpose of this study was to determine the reliability of the Dynamic Assessment of the Alphabetic …

Influence Of Environmental Parameters On Mold Sampling Results, Benjamin Fishman

USF Tampa Graduate Theses and Dissertations

Mold is a type of fungus present in nearly all environments. Mold thrives under several environmental parameters such as high humidity and an adequate food source. A professional, such as an industrial hygienist, can measure mold in indoor and outdoor environments. Industrial hygienists commonly use a cascade impactor with a culture plate to capture air within a sampling area. While collecting air samples, environmental parameters such as temperature, humidity, and carbon dioxide are recorded. A laboratory then cultures and analyzes the samples, identifying the types and amounts of viable mold found in the sampling area.

In this study, a data …

Multi-Scale Spatial Cognition Models And Bio-Inspired Robot Navigation, Martin I. Llofriu Alonso

USF Tampa Graduate Theses and Dissertations

The rodent navigation system has been the focus of study for over a century. Discoveries made lately have provided insight on the inner workings of this system. Since then, computational approaches have been used to test hypothesis, as well as to improve robotics navigation and learning by taking inspiration on the rodent navigation system.

This dissertation focuses on the study of the multi-scale representation of the rat’s current location found in the rat hippocampus. It first introduces a model that uses these different scales in the Morris maze task to show their advantages. The generalization power of larger scales of …

Characterizing Benthic Habitats Using Multibeam Sonar And Towed Underwater Video In Two Marine Protected Areas On The West Florida Shelf, Usa, Jennifer L. Brizzolara

USF Tampa Graduate Theses and Dissertations

This study investigates a way to characterize the geology and biology of the seafloor in two Marine Protected Areas on the West Florida Shelf. Characterization of benthic habitats needs to include sufficient detail to represent the complex and heterogeneous bottom types. Characterizations can be interpreted from multiple data sets and displayed as benthic habitat maps. Multibeam sonar bathymetry and backscatter provide full spatial data coverage, but interpretation of such data requires some form of ground truth (to characterize the habitat). Imagery from towed underwater video provides continuous transects of seafloor data, which provide a more efficient method than data from …

Effects Of Temperature On The Emission Rate Of Formaldehyde From Medium Density Fiberboard In A Controlled Chamber, William Swankie

USF Tampa Graduate Theses and Dissertations

Formaldehyde is a colorless gas that is found naturally in the environment. It is a popular additive in many consumer products including composite wood products. Composite wood products are engineered wood panels produced from pressing pieces, chips, particles, or fibers of wood together at high temperatures held together with a bonding agent. This bonding agent is often formaldehyde-containing resins that are known to release formaldehyde over time. This is concerning because of the carcinogenic classification of formaldehyde, the wide spread application of composite wood products, and the increasing amount of time spent in the indoor environment.

In a controlled 0.53 …

Predictors Of Behavior Problems In The Context Of Peer Play Interactions: A Sample Of Low-Income Latino Preschoolers, Olivia Hernandez Gonzalez

USF Tampa Graduate Theses and Dissertations

Latinos are the fastest-growing minority group in the United States and have higher dropout rates compared to other groups. Moreover, problem behaviors are common in preschool classrooms, and the incidence of these problems is higher for children from low-income families. The purpose of this study was to understand Latino children's problem behaviors in the context of peer play interactions and identify those variables that influence such behavior. 265 five and six-year-old Spanish-speaking children (53.6% female) attending Head Start or kindergarten participated in the study. Additionally, 198 mothers and 78 pre-kindergarten and kindergarten lead teachers participated in the study. Child level …

Real-Time Classification Of Biomedical Signals, Parkinson’S Analytical Model, Abolfazl Saghafi

USF Tampa Graduate Theses and Dissertations

The reach of technological innovation continues to grow, changing all industries as it evolves. In healthcare, technology is increasingly playing a role in almost all processes, from patient registration to data monitoring, from lab tests to self-care tools. The increase in the amount and diversity of generated clinical data requires development of new technologies and procedures capable of integrating and analyzing the BIG generated information as well as providing support in their interpretation.

To that extent, this dissertation focuses on the analysis and processing of biomedical signals, specifically brain and heart signals, using advanced machine learning techniques. That is, the …

An Anthropological Study Of Security Operations Centers To Improve Operational Efficiency, Sathya Chandran Sundaramurthy

USF Tampa Graduate Theses and Dissertations

Security Operation Centers (SOCs) have become an integral component of business organizations all over the world. The concept of a SOC has existed for a few years now yet there is no systematic study documenting the occurrences of their operations. A lack of documented operational knowledge makes it a challenge for security researchers interested in improving operational efficiency through algorithms, tools, and processes.

SOC environments operate under a secrecy culture as a result of which researchers are not trusted by analysts and their managers. This lack of trust leads to only superficial information through methods such as interviews. Moreover, security …

Experimental Analysis On The Feasibility Of Voice Based Symmetric Key Generation For Embedded Devices, Surya Bharat Kamineni

USF Tampa Graduate Theses and Dissertations

In this thesis, we present results of an experimental study in order to generate a secure cryptographic key from the user’s voice which is to be shared between two mobile devices. We identified two security threats related to this problem, discussed the challenges to design the key generation/sharing mechanism, and proposed a new protocol based on bloom filters that overcomes the two main attacks by the intruder. One is when the attacker places its device in the close vicinity of the location where the user attempts to generate/share the key in order to derive the key from eavesdropping on communication …

The Ability Of An Aquatic Invader To Uptake Nutrients In An Upstream Estuarine Environment: Implications For Reducing The Intensity And Frequency Of Massive Fish Kills In Florida, Melissa L. Kerr

USF Tampa Graduate Theses and Dissertations