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Title: SPIRITUALITY EMPOWERS BLACK LEADERSHIP: A PHENOMENOLOGICAL STUDY OF BLACK MEN STUDENTS’ LEADERSHIP AND SPIRITUALITY.
Creator: Allen Jr., Keven, Salinas Jr., Cristobal, Floyd, Deborah L., Florida Atlantic University, Department of Educational Leadership and Research Methodology, Charles E. Schmidt College of Science
Abstract/Description: In this qualitative study, spirituality, and leadership among 15 Black collegiate men enrolled at higher education institutions were examined. The purpose of this phenomenological study was to describe and explore the essence of spirituality within the lived experiences of undergraduate Black men student leaders. The objective was to understand the intersection of spirituality and leadership within Black men, and how it informed their decision making and influenced their career aspirations...
Show moreIn this qualitative study, spirituality, and leadership among 15 Black collegiate men enrolled at higher education institutions were examined. The purpose of this phenomenological study was to describe and explore the essence of spirituality within the lived experiences of undergraduate Black men student leaders. The objective was to understand the intersection of spirituality and leadership within Black men, and how it informed their decision making and influenced their career aspirations post their undergraduate collegiate experience. In this study, spirituality is defined as an “internal process of seeking personal authenticity, genuineness, and wholeness as an aspect of identity development” (Love & Talbot, 1999, p. 364). Guided by descriptive phenomenological methodology, four research questions were asked: (1) What is the meaning of spirituality for Black men student leaders? (2) How do Black men student leaders apply spirituality within their daily leadership practices and behaviors? (3) How do Black men student leaders define the connection between spirituality and leadership development? (4) How does spirituality inform the pathways and career aspirations of Black men student leaders? Four findings emerged as a result of the data analysis: (1) The Spirit and the Struggle: Spirituality Empowers Black Leadership, (2) The Spirit of Black Leadership is Service to Others, (3) Leading from Within: Spirituality is the “Backbone” of Black Men Leadership Identity, and (4) Spirituality Influences Black Men Career Aspirations.
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Date Issued: 2022
PURL: http://purl.flvc.org/fau/fd/FA00013937
Subject Headings: Leadership, Men, Black, Spirituality, Higher education
Format: Document (PDF)

Title: ADVANCING ONE-CLASS CLASSIFICATION: A COMPREHENSIVE ANALYSIS FROM THEORY TO NOVEL APPLICATIONS.
Creator: Abdollah, Zadeh Azadeh, Khoshgoftaar, Taghi M., Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: This dissertation explores one-class classification (OCC) in the context of big data and fraud detection, addressing challenges posed by imbalanced datasets. A detailed survey of OCC-related literature forms a core part of the study, categorizing works into outlier detection, novelty detection, and deep learning applications. This survey reveals a gap in the application of OCC to the inherent problems of big data, such as class rarity and noisy data. Building upon the foundational insights...
Show moreThis dissertation explores one-class classification (OCC) in the context of big data and fraud detection, addressing challenges posed by imbalanced datasets. A detailed survey of OCC-related literature forms a core part of the study, categorizing works into outlier detection, novelty detection, and deep learning applications. This survey reveals a gap in the application of OCC to the inherent problems of big data, such as class rarity and noisy data. Building upon the foundational insights gained from the comprehensive literature review on OCC, the dissertation progresses to a detailed comparative analysis between OCC and binary classification methods. This comparison is pivotal in understanding their respective strengths and limitations across various applications, emphasizing their roles in addressing imbalanced datasets. The research then specifically evaluates binary and OCC using credit card fraud data. This practical application highlights the nuances and effectiveness of these classification methods in real-world scenarios, offering insights into their performance in detecting fraudulent activities. After the evaluation of binary and OCC using credit card fraud data, the dissertation extends this inquiry with a detailed investigation into the effectiveness of both methodologies in fraud detection. This extended analysis involves utilizing not only the Credit Card Fraud Detection Dataset but also the Medicare Part D dataset. The findings show the comparative performance and suitability of these classification methods in practical fraud detection scenarios. Finally, the dissertation examines the impact of training OCC algorithms on majority versus minority classes, using the two previously mentioned datasets in addition to Medicare Part B and Durable Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS) datasets. This exploration offers critical insights into model training strategies and their implications, suggesting that training on the majority class can often lead to more robust classification results. In summary, this dissertation provides a deep understanding of OCC, effectively bridging theoretical concepts with novel applications in big data and fraud detection. It contributes to the field by offering a comprehensive analysis of OCC methodologies, their practical implications, and their effectiveness in addressing class imbalance in big data.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014387
Subject Headings: Classification, Big data, Deep learning (Machine learning), Computer engineering
Format: Document (PDF)

Title: AN EXPERIMENTAL APPROACH TO EVALUATE THE EFFECTIVENESS AND PERFORMANCE OF CHLORINE AS A DISINFECTANT FOR ENTAMOEBA DISPAR IN GROUNDWATER.
Creator: Chowdhury. Rakib Ahmed, Lashaki, Masoud Jahandar, Meeroff, Daniel E., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Deep injection well technology is a reliable and cost-effective technique to manage hazardous wastewater. However, reduced injectivity is an issue for the performance of an injection well which can happen due to the occurrence of biogeochemical clogging. A class 1 deep injection well located at the Solid Waste Authority of Palm Beach County has long suffered similar problems that occurred due to the formation of chemical precipitation and biofilm. In the case of the biofilm, the dominant...
Show moreDeep injection well technology is a reliable and cost-effective technique to manage hazardous wastewater. However, reduced injectivity is an issue for the performance of an injection well which can happen due to the occurrence of biogeochemical clogging. A class 1 deep injection well located at the Solid Waste Authority of Palm Beach County has long suffered similar problems that occurred due to the formation of chemical precipitation and biofilm. In the case of the biofilm, the dominant microorganism detected in previous work was determined to be Entamoeba dispar. The prime source of the protozoan was identified as the local groundwater, which is employed for different purposes within the solid waste facility, such as cooling water and dilution water. Therefore, it is imperative to examine the effectiveness of the commonly used disinfectant chlorine to inactivate the protozoan to eliminate biofilms and clogging. This study conducted a laboratory-based chlorination of the groundwater sample to reveal the required dosages of chlorine needed for 3.0-log inactivation of E. dispar in various temperature (20°C, 25°C, 30°C, and 35°C) and pH (6.5, 7.0, 7.5) conditions.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014439
Subject Headings: Groundwater, Entamoeba dispar, Chlorine, Injection wells
Format: Document (PDF)

Title: FACILITATING PEER-TO-PEER ENERGY TRADING THROUGH COOPERATIVE GAMES AND FUZZY INFERENCE SYSTEMS.
Creator: Lopez, Hector, Zilouchian, Ali, Abtahi, Amir, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: This dissertation proposes a utility-centric peer-to-peer (P2P) energy trading framework as an alternative to traditional net metering, aiming to resolve conflicts between distributed energy resource owners and utilities. It advocates for practical software services and dynamic payment mechanisms tailored to prosumer needs, offering an alternative to reducing net metering incentives. Additionally, it explores game theory principles to ensure equitable compensation for prosumer cooperation,...
Show moreThis dissertation proposes a utility-centric peer-to-peer (P2P) energy trading framework as an alternative to traditional net metering, aiming to resolve conflicts between distributed energy resource owners and utilities. It advocates for practical software services and dynamic payment mechanisms tailored to prosumer needs, offering an alternative to reducing net metering incentives. Additionally, it explores game theory principles to ensure equitable compensation for prosumer cooperation, driving the adoption of P2P energy markets. It also builds on demand-side payment mechanisms like NRG-X-Change by adapting it to provide fair payment distribution to prosumer coalitions. The interoperable energy storage systems with P2P trading also presented battery chemistry detection using neural network models. A fuzzy inference system is also designed to facilitate prosumers' choice in participating in P2P markets, providing flexibility for energy trading preferences. The simulation results demonstrated the effectiveness of the proposed design schemes.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014425
Subject Headings: Energy, Fuzzy systems, Cooperative game theory, Electrical engineering
Format: Document (PDF)

Title: FRAUD DETECTION IN HIGHLY IMBALANCED BIG DATA WITH NOVEL AND EFFICIENT DATA REDUCTION TECHNIQUES.
Creator: Hancock III, John T., Taghi M. Khoshgoftaar, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: The rapid growth of digital transactions and the increasing sophistication of fraudulent activities have necessitated the development of robust and efficient fraud detection techniques, particularly in the financial and healthcare sectors. This dissertation focuses on the use of novel data reduction techniques for addressing the unique challenges associated with detecting fraud in highly imbalanced Big Data, with a specific emphasis on credit card transactions and Medicare claims. The highly...
Show moreThe rapid growth of digital transactions and the increasing sophistication of fraudulent activities have necessitated the development of robust and efficient fraud detection techniques, particularly in the financial and healthcare sectors. This dissertation focuses on the use of novel data reduction techniques for addressing the unique challenges associated with detecting fraud in highly imbalanced Big Data, with a specific emphasis on credit card transactions and Medicare claims. The highly imbalanced nature of these datasets, where fraudulent instances constitute less than one percent of the data, poses significant challenges for traditional machine learning algorithms. This dissertation explores novel data reduction techniques tailored for fraud detection in highly imbalanced Big Data. The primary objectives include developing efficient data preprocessing and feature selection methods to reduce data dimensionality while preserving the most informative features, investigating various machine learning algorithms for their effectiveness in handling imbalanced data, and evaluating the proposed techniques on real-world credit card and Medicare fraud datasets. This dissertation covers a comprehensive examination of datasets, learners, experimental methodology, sampling techniques, feature selection techniques, and hybrid techniques. Key contributions include the analysis of performance metrics in the context of newly available Big Medicare Data, experiments using Big Medicare data, application of a novel ensemble supervised feature selection technique, and the combined application of data sampling and feature selection. The research demonstrates that, across both domains, the combined application of random undersampling and ensemble feature selection significantly improves classification performance.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014424
Subject Headings: Fraud, Big data, Data reduction, Credit card fraud, Medicare fraud
Format: Document (PDF)

Title: UNDERLYING OF BEING.
Creator: MacNamara, Lisa V., Cote, Veronique, Florida Atlantic University, Department of Visual Arts and Art History, Dorothy F. Schmidt College of Arts and Letters
Abstract/Description: The Underlying of Being exhibition explores the complex relationship between the mind and body, delving into psychological effects at a cellular level. Art, science, and psychology contemplate the fundamental source of meaning and value: the human experience. The work emphasizes that our lives are not isolated but interrelated, reflecting a commonality on the most miniature biological scale. Scientific research confirms that cells can hold emotional experiences, a finding that is relevant to...
Show moreThe Underlying of Being exhibition explores the complex relationship between the mind and body, delving into psychological effects at a cellular level. Art, science, and psychology contemplate the fundamental source of meaning and value: the human experience. The work emphasizes that our lives are not isolated but interrelated, reflecting a commonality on the most miniature biological scale. Scientific research confirms that cells can hold emotional experiences, a finding that is relevant to all humans. The conceptual visual context derives from philosophical systems, scientific theories, and aesthetic judgments, abstracting from the ever-changing ebb and flow of being in the living world. The Underlying of Being exhibition focuses on the figure in abstracted shapes and layers of monochromatic colors, various papers, fibers, wires, glaze, and paints, producing sections of human narration sinking below the surface into an illusion or disillusioned visual physiological state of fluid within an imagined biosystems.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014443
Subject Headings: Exhibitions, Art
Format: Document (PDF)

Title: AI Family: portraiture in artists books and web design.
Creator: Iudean, Tatyana V., Afanador-Llach, Camila, Florida Atlantic University, Department of Visual Arts and Art History, Dorothy F. Schmidt College of Arts and Letters
Abstract/Description: This thesis employs graphic design to envision the present and future scenario of humanity adapting to artificial intelligence and the current state of continuous data harvesting by organizations and platforms that lack transparency with the public. Explored topics include the impact of AI on families and the importance of gaining awareness regarding the potential negative and positive consequences of uncontrolled data collection about individuals. These themes converge in my exhibition to...
Show moreThis thesis employs graphic design to envision the present and future scenario of humanity adapting to artificial intelligence and the current state of continuous data harvesting by organizations and platforms that lack transparency with the public. Explored topics include the impact of AI on families and the importance of gaining awareness regarding the potential negative and positive consequences of uncontrolled data collection about individuals. These themes converge in my exhibition to depict the current and potentially future reality of living in a family with the constant presence of AI and the associated dangers it entails. The concept of data harvesting, depicted through artists books and web design, serves as a visual commentary on the current situation within families, seen as microcosms of the broader community and humanity as a whole. This situation highlights the notion that we are already residing in the Brave New World envisioned by Aldous Huxley. AI possesses the capacity to profoundly influence all artistic genres, including artists books, introducing an additional dimension to their expression. From generating storytelling and art to facilitating collaborations between artists and artificial intelligence, the applications of AI are boundless. Utilizing Chat GPT and Adobe Firefly, I aim to create one of my artists books primarily generated by AI. This endeavor seeks to redefine a family portrait, illustrating the integration of artificial intelligence into the lives of families and humanity overall. By focusing on the family portrait genre within artists books and incorporating the latest family member, AI, I intend to prompt social awareness, fostering a deeper understanding of contemporary reality and inviting a dialogue.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014433
Subject Headings: Graphic arts, Artists' books, Web sites--Design
Format: Document (PDF)

Title: Weaving Visual Identities Beyond Borders Through Immersive Experience.
Creator: Panahandeh, Narges, Afanador-Llach, Camila, Florida Atlantic University, Department of Visual Arts and Art History, Dorothy F. Schmidt College of Arts and Letters
Abstract/Description: Effective communication and a sense of togetherness between people from different backgrounds happen on a platform of mutual understanding. The boundaries of differences between people from various cultures limit our understanding of each other's conditions, problems, and concerns. As a designer, I seek to fade the boundaries between cultures and facilitate a conversation, promoting mutual understanding by blending visual elements from American and Iranian cultures. With interactive visual...
Show moreEffective communication and a sense of togetherness between people from different backgrounds happen on a platform of mutual understanding. The boundaries of differences between people from various cultures limit our understanding of each other's conditions, problems, and concerns. As a designer, I seek to fade the boundaries between cultures and facilitate a conversation, promoting mutual understanding by blending visual elements from American and Iranian cultures. With interactive visual media and storytelling, I have created diverse visual artworks that combine traditional Iranian arts and crafts elements with visuals from American popular culture. This body of work includes illustrations, patterns, motion design, audio, and augmented reality. Through these shared visual experiences, I aim to introduce new values into the sphere of design, enrich the design world with diversity, and build a shared visual experience that talks both to Iranians and the cultural milieu of the United States. Producing art pieces with the theme of Shared Visual Experiences can aid in promoting diversity, fostering connection, encouraging innovation and creativity, and bringing attention to significant social and cultural issues. It is a meaningful way to contribute to a more interconnected world that benefits everyone.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014428
Subject Headings: Immersive art experiences, Art and design, Culture
Format: Document (PDF)

Title: Small Anodic Polarization as a Mean to Modestly Accelerate Rebar Corrosion.
Creator: da Silveira, Gabrielle Pimentel, Presuel-Moreno, Francisco, Pierre-Philippe, Beaujean, Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
Abstract/Description: The study of non-invasive techniques to analyze the propagation of corrosion in steel reinforced concrete structures proves to be a great alternative to better understanding the corrosive process of rebar and increasing its useful life. The study presented in this document examines the evolution of steel reinforced concrete corrosion over time by applying a small anodic current over four samples, one with a single rebar (16X) and three with three rebars. The rebars were interconnected to...
Show moreThe study of non-invasive techniques to analyze the propagation of corrosion in steel reinforced concrete structures proves to be a great alternative to better understanding the corrosive process of rebar and increasing its useful life. The study presented in this document examines the evolution of steel reinforced concrete corrosion over time by applying a small anodic current over four samples, one with a single rebar (16X) and three with three rebars. The rebars were interconnected to apply the anodic current and accelerate their corrosion. Galvanostatic Pulse (GP) was used. This method applies a constant current pulse to the rebar for 150 seconds while monitoring the potential of the rebars. Each rebar's corrosion current was assessed using GP measurements when no anodic current was applied, and the rebars were disconnected. Sample 16X additionally underwent ultrasonic acoustic analysis by collecting the surface and rebar echo response with a transducer and modeling the sound propagation for poroelastic media with an adapted version of the novel Biot-Stoll method.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014491
Subject Headings: Reinforced concrete--Corrosion, Reinforced concrete--Analysis, Nondestructive testing
Format: Document (PDF)

Title: Flood Analysis in Nassau County, Florida.
Creator: Hewett, Michelle, Mitsova, Diana, Florida Atlantic University, Department of Urban and Regional Planning, Department of Urban and Regional Planning
Abstract/Description: Flooding is a major threat to coastal and inland communities in the state of Florida. There are a variety of reasons for the increasing risk of flooding, such as hurricanes, torrential downpours, sea level rise, and storm surge/tides. This paper will focus on Nassau County, the most northeastern county in the state. While the area is affected by most of the aforementioned flood become more prominent over the years and will continue to impact the safety and well-being of coastal communities....
Show moreFlooding is a major threat to coastal and inland communities in the state of Florida. There are a variety of reasons for the increasing risk of flooding, such as hurricanes, torrential downpours, sea level rise, and storm surge/tides. This paper will focus on Nassau County, the most northeastern county in the state. While the area is affected by most of the aforementioned flood become more prominent over the years and will continue to impact the safety and well-being of coastal communities. In this context, planning for the future entails conducting multi-hazard analysis of risks posed by current and future storm events. This study undertakes a comprehensive analysis of flood risks in Nassau County, Florida, and examines current and future zoning and land use plans and buildings codes to provide science-based recommendations for addressing these risks.
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Date Issued: 2021
PURL: http://purl.flvc.org/fau/fd/FA00013700
Subject Headings: Floods--Risk assessment, Nassau County (Fla.), Floods
Format: Document (PDF)

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