Entire DC Network | Open Access Articles | Digital Commons Network™

Tehran Is Ours, Hamideh Azimi

Theses

Tehran is Ours is a thesis film, mainly 2D animation, with some experimental and 3D parts. This film dramatizing the movement that is happening in Iran which is about women’s rights. 2D fluid animation represents the movement that never stops.

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Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

This thesis addresses the increasing issue of fraud resulting from technological advancements affecting both customers and fraudsters, while law enforcement agencies face challenges of inadequate case prioritization; data overload and slow investigative analysis. The central objective of this thesis revolves around strategies to counter these challenges, emphasizing the urgency of rapid response to major alert cases that can lead to widespread impacts. The authors' experience in financial fraud detection and credit card crime investigation within the police department has inspired this research, guiding the approach toward practical solutions for everyday operational challenges. The significance of this thesis lies in its …

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Utilizing Machine Learning For Categorizing Disaster-Related Tweets, Ahmad Alfalasi

Theses

This study presents the development of a machine-learning model that recognizes tweets about disasters in real-time. The fast-paced development of social media, especially Twitter, has drastically changed the field of news transmission during crises. This change creates new challenges for the management of the volume, velocity, and veracity of data that are generated in such situations. The present tools do not have the capabilities of real-time processing of the huge volume of data; hence, new solutions are required. The model we are proposing addresses this problem by using advanced machine learning methods, such as natural language processing, to filter and …

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Heat Transfer During Air-Water Two Phase Flow, Saumitra K. Deshpande

Theses

The effects of air injection on the heat transfer coefficient for the liquid flow in two-phase in microchannels are studied. Different manifolds and microchannel configurations are used for studying the effects of air injection. The manifold has a uniform gap of 400μm between the heater chip and the cover. A manifold is designed and manufactured to provide different air water flow patterns for different combinations of liquid and air flow rates. The effect of these flow rates on the heat transfer coefficient are studied. The flow rate for air injected is kept very small with respect to the flow rate …

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Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon

Theses

Bioheat transfer is the study of heat transfer applied in anatomy and physiology, which is relevant to maintaining homeostatic conditions from metabolic activity, thermal exposures, and various treatments and diagnostic methods. Blood flow significantly impacts heat transfer throughout the body, facilitating the diffusion of heat. Models have been developed to quantify bioheat transfer and the effect of blood flow through tissue for many biological functions and medical procedures, one of which is radiofrequency ablation for cardiac arrhythmia. Significant improvements to models and assumptions are still required as success rates for this procedure remain low for various arrhythmia types. The research …

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Application Programming Interface For Embedded Protocol Management System, Mathew David Barrera

Theses

This paper defines an architecture and software structure which implements a polymorphic system to manage hardware devices. The architecture implements a system to manage integration of hardware devices by providing the constructs required to implement communication and data transport protocols with a method that manages system state independence of each hardware component integrated. The architecture components provide a system which maintains the independence of each device by defining abstractions between each component of the system providing the software constructs required to integrate hardware components which implement differing connections methods and communication protocols. The software architecture provides the means of Integration …

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Development And Optimization Of Electric-Double-Layer Gated Transistors Based On Low-Dimensional Materials: Gate-All-Around Inas Nanowire Arrays And Graphene Channels, John Wyatt Morrell

Theses

Electric-double-layer (EDL) gating is a promising alternative to conventional gating methods for field-effect transistors (FETs), with potential applications spanning current logic, future logic, and neuromorphic computing architectures. This technique employs mobile ions in an electrically insulating but ionically conductive medium to generate strong local electric fields at the gate-to-channel interface, achieving field magnitudes on the order of 1 V/nm. These intense local fields enable significant charge carrier accumulation in the semiconducting channel, positioning EDL gating as a strong candidate for device applications. In this study, we investigate the use of low-dimensional channel materials, including two-dimensional graphene and one-dimensional InAs nanowires, …

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Artificial Neurovascular Networks To Simulate Energy Distribution To Spiking Neural Networks, William Bottom

Theses

Biological neurons are known to be much more energy efficient than modern computers, with the human brain only consuming about 20 Watts. An Artificial Neural Network can take hours or days to train on high-performance and energy-consuming GPUs, so networks that can achieve similar performance at a fraction of the energy cost are very sought after. Spiking Neural Networks, which mimic biological neurons more closely than Artificial Neural Networks (ANNs), are a potential option for the energy problem in Neural Networks. By converting an ANN to an SNN and applying energy-saving methods/architectures, the equivalent SNN network can achieve similar performance …

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Leveraging Ai To Improve Service Quality For Better Passenger Satisfaction At Airport, Abdulrhman Alsaleh

Theses

The aim of this research is to explore the impact of airport service quality on passenger satisfaction level in Dubai International Airport (DXB) and the study employed machine learning approach to establish the services quality dimensions relationship with passenger satisfaction. However, the initial objective is to analyze patterns and make future forecasts that DXB could use to enhance service delivery. The research focuses on key service quality dimensions: The study investigates the causal relationship between five constructs: reliability, service quality tangibility, assurance, responsiveness, and empathy using machine learning models such as regression and classification. The information data applies to the …

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Using Machine Learning For Road Accident Severity Prediction And Optimal Rescue Pathways, Mohammad Yousuf Sulaiman Alhashmi

Theses

Road traffic accidents remain a critical challenge for urban planners, transportation authorities, and public safety stakeholders worldwide. Despite advancements in road infrastructure and traffic management, the frequency and severity of accidents continue to strain emergency response systems and compromise public safety. Accident hotspots, are particularly concerning, as they often exhibit recurring patterns of accidents due to factors such as poor road design, high traffic density, and adverse weather conditions. This thesis addresses the challenge of predicting accident severity and identifying accident-prone areas through a data-driven approach. Using a large dataset of over 7.7 million accident records containing geographical, environmental, and …

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Applying Machine Learning For Crime Trend Analysis, Dana Alsoori

Theses

The analysis of crime rates has always been a critical component in shaping law enforcement strategies and public policy. This study focuses on the U.S. crime rates from 1975 to 2015, as reported by the FBI’s Uniform Crime Reporting (UCR) Program, to explore patterns and trends over four decades. By analyzing this extensive dataset, the project aims to provide insights into the dynamics of criminal activity across different regions and crime categories. The goal is to uncover both visible and hidden trends that can inform better decision-making in crime prevention and resource allocation. With the rise of data-driven methods, this …

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Using Machine Learning To Predict Energy Consumption In Commercial Buildings In The Uae, Saif Nasser Aljasmi

Theses

The ever-growing demand for energy necessitates a shift towards efficient management practices. Buildings, responsible for a significant portion of global energy consumption, present a prime opportunity for optimization. Building Energy Management Systems (BEMS) have emerged as a crucial tool in this endeavor, offering a comprehensive platform for monitoring and integrating various building systems. However, a key functionality within BEMS, energy consumption prediction, has faced limitations in accuracy. This stagnation hinders the full potential of BEMS for achieving optimal energy management strategies. Traditional methods for energy prediction often rely on historical data and lack the sophistication to capture the complex and …

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Analyzing The Effects Of Economic Factors On Residential Real Estate Market Dynamics Of Dubai: Using Machine Learning Methods, Zarrina Shokirova

Theses

Dubai’s residential real estate market is known for its rapid growth and dynamic nature, making it an intriguing subject for analyzing the impact of various economic factors. This thesis examines how key economic elements such as GDP growth, inflation rates, and foreign investment influence property dynamics in Dubai. By synthesizing current research, this study aims to understand how these economic conditions affect real estate values, demand, and supply. Additionally, modern analytical methods, including decision trees, logistic regression, and random forest models, are employed to predict market trends and uncover significant patterns. This research contributes to both academic understanding and practical …

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Robust And Efficient Active Inference For Perception, Action, And Learning, Zhizhuo Yang

Theses

Active Inference (AIF) is an emerging framework rooted in neuroscience aimed at elucidating human perception, action, and cognitive processes. Recent advances in machine learning have facilitated the non-invasive study of human cognition through the lens of this framework. This dissertation expands upon this theoretical foundation to address practical challenges in robotic control and human cognitive behavior analysis. We initiate our exploration with a review of the eye-tracking studies that underpin the motivation for AIF research. This provides a background for understanding how AIF can model cognitive processes. First, we present a minimal AIF model within a discrete state space, framed …

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Temporal Analysis And Prediction Of Air Quality Based On Environmental Data, Mizbah Syed

Theses

Air pollution is one of the most pressing environmental challenges of the modern era, significantly impacting public health, ecosystems, and economic stability. Pollutants such as PM2.5, PM10, and NO₂—largely driven by urbanization, industrialization, and vehicular emissions—have exacerbated global health issues, including respiratory illnesses, cardiovascular diseases, and premature mortality. According to the World Health Organization, air pollution contributes to over 7 million deaths annually, with economic losses amounting to billions of dollars. Beyond its health and financial toll, air pollution worsens climate change, underscoring the urgent need for accurate air quality index (AQI) prediction to enable timely interventions and evidence-based policymaking. …

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The Tale Of Mari, Anya Vaughn

Theses

The Tale of Mari is a mixed media animated documentary which follows the life of Mari Arakaki Gaskins. Shortly after moving to America in the 1970s, Mari began illustrating comic strips about a Japanese family, emulating the cartoons she saw in newspapers. She sent a letter to the creator of Garfield, Jim Davis, and included her comics. Davis sent her a response, and told her that her artwork was good. However, he believed that the strips were unlikely to be published, because comics about a young Japanese girl would not be relatable to American audiences. Mari grew up during a …

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Rainfall Prediction Using Machine Learning Methods, Ibrahim Abdulla Obaidalla

Theses

The capability to predict rainfall effectively is crucial for both economic planning and safety measures. This project examined the performance of three well-known forecasting models: Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA), and Seasonal Autoregressive Integrated Moving-Average (SARIMA) to determine their accuracy in predicting rainfall patterns. Extensive analysis of data was conducted to identify which model was the most reliable and accurate, considering varying climatic conditions and time scales. The LSTM model, a type of network designed for sequential data, was expected to excel due to its ability to understand long-term dependencies in data series. This is vital …

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Facilitated Forest Restoration Using Pioneer Seed Dispersers In Madagascar: The Example Of Microcebus Spp., Joerg U. Ganzhorn, Jean-Basile Andriambeloson, Sylvia Atsalis, Lis M. Behrendt, Marina B. Blanco, An Bollen, Stephanie M. Carriere, Lounes Chikhi, Melanie Dammhahn, Giuseppe Donati, Timothy M. Eppley, Multiple Additional Authors

Anthropology Faculty Publications and Presentations

The concept of “facilitated restoration” aims at native biodiversity reinstatement with the help of animal seed dispersers attracted by fruiting trees. Yet, large-crowned trees will have to develop in the early stages of restoration; therefore, seed dispersal provided by small generalist mammals and birds that use rapidly growing herbs, shrubs, and small trees at early stages of forest succession would accelerate biodiversity restoration. Due to the elusive lifestyle of these small animals, it is unclear what species can contribute to the early stages of this process. Using the primate genus Microcebus (adult body mass about 60 g) as an example, …

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North Sinai Bedouin Veil From The May Weber Ethnographic Study Collection, Jupiter Beck

Department of Anthropology

This report is on a North Sinai Bedouin Veil/Burqa from the May Weber Ethnographic Study Collection. It details the materials, the methods of construction, the attribution, and the cultural significance of the veil/burqa.

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Pathogenicity And Virulence Of Human Respiratory Syncytial Virus: Multifunctional Nonstructural Proteins Ns1 And Ns2, Trudy N Merritt, Jingjing Pei, Daisy W Leung

2020-Current year OA Pubs

Human respiratory syncytial virus (hRSV) is a major cause of lower respiratory tract infections in young children, the elderly, and immunocompromised. Despite its discovery over 60 years ago and the global impact on human health, limited effective prophylactic or therapeutic options have been available for hRSV infections. This has largely been attributed to the legacy of vaccine failure in the 1960s using a formalin-inactivated RSV , which led to enhancement of disease post exposure to hRSV infection and hampered subsequent development of vaccine candidates. Recent FDA approval of vaccines for older adults and pregnant individuals are major advancements but leaves …

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Patient With Post-Operative Recurrent Pancreatic Cancer Treated With Cone Beam Computed Tomography-Guided Stereotactic Adaptive Radiotherapy: A Case Report, Farnoush Forghani, Alden D'Souza, Eric Laugeman, Allen Mo, Pamela P. Samson, Hyun Kim

2020-Current year OA Pubs

CT-guided adaptive radiotherapy (ART) for the treatment of pancreatic adenocarcinoma is rapidly increasing and has been shown to provide advanced treatment tools comparable to magnetic resonance imaging (MRI)-guided adaptive therapy. Here, we provide the first case report of a local pancreatic recurrence treatment after definitive resection using cone beam computed tomography (CBCT)-guided ART (CT-guided ART) enabled by HyperSight imaging (Varian Medical Systems, Inc., Palo Alto, CA, USA) for daily delineation of organs-at-risk (OARs) and target to improve the quality of online ART. A 61-year-old female was diagnosed with pancreatic adenocarcinoma, and her CT demonstrated a 1.9 cm lesion abutting the …

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The World Bank's New Approach To Human Capital Model And Education, Ozlem Kucuk, Cihan Cobanoglu

University of South Florida (USF) M3 Publishing

The human capital approach, introduced in 1960, has been used by economists to establish connections between education, skills, and personal income. It resulted in a redistribution of public expenditure by viewing education not only as a cost but also as an economic input, a way to increase revenue in the medium and long term. Human capital theory highlights the crucial role of education in the economy. With the rise of the knowledge society, scientists have debated the potential end of poverty, inequality, and social exclusion. They envisioned a new knowledge economy and a more egalitarian society. The significant increase in …

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Training In Ecological Thinking: Narrative Practices For Educational Professional, Cristina Trovato

University of South Florida (USF) M3 Publishing

Since the 1970s, the issue of environmental education has assumed relevance in the context of a theory of training towards new forms of sustainability education. Literary ecology, a discipline born from the contamination of ecology and literature, proposes itself as a critical response to environmental distress, enhancing the implicit dialogue and interconnections between the text and the circumstances of the environment. The literary heritage constitutes a precious resource for promoting, in educational contexts from early childhood, dimensions that range from the cognitive to the emotional and for activating sustainable processes, through ecological paths that develop a civic conscience, capable of …

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Use Of Assistive Technology By Teachers Of Students With Visual Impairments: A Descriptive Analysis, Paul M. Ajuwon, Ximena Uribe-Zarain, Phoebe Okungu, Nora Griffin-Shirley, The Nguyen

University of South Florida (USF) M3 Publishing

In schools, technology is used as a tool to enhance the knowledge and skills of learners with disabilities. The three primary challenges for students with visual impairments are access to information, independent travel, and a lack of meaningful experiences. Assistive Technology (AT) can mitigate these deficits. This study aims to determine the use of AT in schools. An online survey was distributed to schools in Canada, the United States, and adjoining territories; 347 teachers of students with visual impairments (TSVIs) responded to the survey. The results explored the use of Refreshable Braille devices, Braille embossers, Braille Translation Software, Speech Access …

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Elevating The Online Learners’ Experience By Cultivating Social Presence In The Online Learning Environment, Lori Doyle, Tanya M. Tarbutton

University of South Florida (USF) M3 Publishing

The online learning environment does not inherently offer opportunities for learners to experience the benefits of enhanced social presence. The lack of social presence can negatively impact students, the primary group of stakeholders that influence institutional success. On the contrary, research on the Community of Inquiry model, specific to social presence, has been shown to pay positive dividends. There has been an increase in online course offerings; therefore, an intentional push toward elevating the online learning experience is worthy of consideration. Virtual learning environments, if not deliberately cultivated, may be void of authentic relationships and opportunities to connect. In the …

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The Impact Of In-Service Training On Employees: A Research In A Bank, Ali S. Cetinkaya

University of South Florida (USF) M3 Publishing

In this study, the importance of in-service training and its impact on increasing skills, knowledge, attitudes, and overall productivity in the banking sector were investigated. Surveyed valid data were obtained from 101 employees working in the branches of a private bank operating in Konya in Turkiye. The findings revealed that in-service training is essential to ensure compliance with technological developments and legal regulations and to increase customer satisfaction in a competitive market. The research revealed the necessity of continuous employee development in order to meet evolving customer demands and make effective use of new technologies. In the study, the benefits …

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Chinese International Students’ Classroom Behavioral Engagement In Canadian Classes: A Qualitative Study Of Master’S Business Students’ Silence, Bohui (Hollie) Liu, Clayton Smith

University of South Florida (USF) M3 Publishing

As numerous Chinese international students (CISs) are pursuing their master’s learning at Canadian universities, there is a growing interest in studying the factors and complexities that influence their academic achievement and classroom learning adaption during their learning at Canadian universities. This research investigated how master’s business CISs adapted to Canadian classes and strategies promoting CISs’ in-class engagement from CISs’ and teachers’ perspectives. Ten participants volunteered to participate in this study. The results reveal that most business CISs did not actively and spontaneously engage in classroom interactions. The influential factors to their engagement are various, including language proficiency, cultures, classroom environment, …

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Exploring Andragogical Content Knowledge And The Implementation Of Andragogical Principles In Literacy Facilitation Among Adult Literacy Facilitators In Nigeria, Emmanuel D. Mabayoje, Sunday A. Itasanmi

University of South Florida (USF) M3 Publishing

This study investigated adult literacy facilitators andragogical content knowledge and how andragogical principles are implemented as well as professional development needs of the literacy facilitators in Nigeria. The study adopted a quantitative research approach and the participants of the study consisted of 120 adult literacy facilitators in Oyo State, Nigeria. A structured questionnaire consisting of 4 domains (demographic data, andragogical content knowledge, use of andragogical principles, and training needs) was used as data collection instrument. Data collected from the study were analysed using mean, standard deviation and chi-square. Results revealed that literacy facilitators’ andragogical content knowledge is high and the …

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Fostering Ecological Awareness And Inclusion Through Narrative Pedagogy: Insights From The ‘Eco-Narrations’ Projects, Giambattista Bufalino, Gabriella D’Aprile

University of South Florida (USF) M3 Publishing

The paper presents The Eco-Narrations: Educational Care Atelier, an innovative collaborative initiative between the University of Catania and the Municipality of Ragusa. The project integrates narrative pedagogy into education to advance ecological awareness and social inclusion. From June to December 2023, the initiative offered a comprehensive training program to over 100 educators across kindergarten, primary, and lower secondary schools, blending theoretical sessions with practical workshops. Central to the program were eco-narrations, which employed ecological storytelling to deepen knowledge, foster emotional engagement, and promote inclusion. The project enhanced teachers’ abilities to address ecological and social issues while cultivating a collaborative …

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Application Of The Hattie And Timperley Power Of Feedback Model With Graduate Teacher Education Students, Judy R. Wilkerson

University of South Florida (USF) M3 Publishing

Student feedback is a crucial part of learning and improvement. The Hattie and Timperly (2007) model have been identified in the literature as the most useful feedback model evolving out of the literature on feedback and formative assessment prompted by the seminal Black and Wiliam (1998) study. The model consists of three questions: Where am I going? (feed-up), How am I going/doing? (feedback), and Where am I going next? (feed-forward). The combination of these three questions establishes a process for preparing the student with an advance organizer (the goal or student learning outcome), an assessment of actual performance, and a …

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Full-Text Articles in Entire DC Network

Tehran Is Ours, Hamideh Azimi

Theses

Smart Credit Card Fraud Detection Using Machine Learning, Aisha Bin Sulaiman, Rowdha Masood Falaknaz

Theses

Utilizing Machine Learning For Categorizing Disaster-Related Tweets, Ahmad Alfalasi

Theses

Heat Transfer During Air-Water Two Phase Flow, Saumitra K. Deshpande

Theses

Modeling Impact Of Simulated Myocardial Perfusion On Cardiac Ablation For Arrhythmia, Brendan Cappon

Theses

Application Programming Interface For Embedded Protocol Management System, Mathew David Barrera

Theses

Development And Optimization Of Electric-Double-Layer Gated Transistors Based On Low-Dimensional Materials: Gate-All-Around Inas Nanowire Arrays And Graphene Channels, John Wyatt Morrell

Theses

Artificial Neurovascular Networks To Simulate Energy Distribution To Spiking Neural Networks, William Bottom

Theses

Leveraging Ai To Improve Service Quality For Better Passenger Satisfaction At Airport, Abdulrhman Alsaleh

Theses

Using Machine Learning For Road Accident Severity Prediction And Optimal Rescue Pathways, Mohammad Yousuf Sulaiman Alhashmi

Theses

Applying Machine Learning For Crime Trend Analysis, Dana Alsoori

Theses

Using Machine Learning To Predict Energy Consumption In Commercial Buildings In The Uae, Saif Nasser Aljasmi

Theses

Analyzing The Effects Of Economic Factors On Residential Real Estate Market Dynamics Of Dubai: Using Machine Learning Methods, Zarrina Shokirova

Theses

Robust And Efficient Active Inference For Perception, Action, And Learning, Zhizhuo Yang

Theses

Temporal Analysis And Prediction Of Air Quality Based On Environmental Data, Mizbah Syed

Theses

The Tale Of Mari, Anya Vaughn

Theses

Rainfall Prediction Using Machine Learning Methods, Ibrahim Abdulla Obaidalla

Theses

Anthropology Faculty Publications and Presentations

North Sinai Bedouin Veil From The May Weber Ethnographic Study Collection, Jupiter Beck

Department of Anthropology

Pathogenicity And Virulence Of Human Respiratory Syncytial Virus: Multifunctional Nonstructural Proteins Ns1 And Ns2, Trudy N Merritt, Jingjing Pei, Daisy W Leung

2020-Current year OA Pubs

Patient With Post-Operative Recurrent Pancreatic Cancer Treated With Cone Beam Computed Tomography-Guided Stereotactic Adaptive Radiotherapy: A Case Report, Farnoush Forghani, Alden D'Souza, Eric Laugeman, Allen Mo, Pamela P. Samson, Hyun Kim

2020-Current year OA Pubs

The World Bank's New Approach To Human Capital Model And Education, Ozlem Kucuk, Cihan Cobanoglu

University of South Florida (USF) M3 Publishing

Training In Ecological Thinking: Narrative Practices For Educational Professional, Cristina Trovato

University of South Florida (USF) M3 Publishing

Use Of Assistive Technology By Teachers Of Students With Visual Impairments: A Descriptive Analysis, Paul M. Ajuwon, Ximena Uribe-Zarain, Phoebe Okungu, Nora Griffin-Shirley, The Nguyen

University of South Florida (USF) M3 Publishing

Elevating The Online Learners’ Experience By Cultivating Social Presence In The Online Learning Environment, Lori Doyle, Tanya M. Tarbutton

University of South Florida (USF) M3 Publishing

The Impact Of In-Service Training On Employees: A Research In A Bank, Ali S. Cetinkaya

University of South Florida (USF) M3 Publishing

Chinese International Students’ Classroom Behavioral Engagement In Canadian Classes: A Qualitative Study Of Master’S Business Students’ Silence, Bohui (Hollie) Liu, Clayton Smith

University of South Florida (USF) M3 Publishing

Exploring Andragogical Content Knowledge And The Implementation Of Andragogical Principles In Literacy Facilitation Among Adult Literacy Facilitators In Nigeria, Emmanuel D. Mabayoje, Sunday A. Itasanmi

University of South Florida (USF) M3 Publishing

Fostering Ecological Awareness And Inclusion Through Narrative Pedagogy: Insights From The ‘Eco-Narrations’ Projects, Giambattista Bufalino, Gabriella D’Aprile

University of South Florida (USF) M3 Publishing

Application Of The Hattie And Timperley Power Of Feedback Model With Graduate Teacher Education Students, Judy R. Wilkerson

University of South Florida (USF) M3 Publishing