Digital Commons Network^™

Cyber Security Of Autonomous Vehicles: The Implications For City Planning, Tegg Westbrook

Journal of Strategic Security

The rise of autonomous vehicles (AVs) has proclaimed positive consequences for urban quality, including reductions in accidents and deaths. As automobiles become digitalized, questions over cyber or electronic threats require further contextualization in urban security scholarship. Focusing on literature on radiofrequency interference of Global Navigation Satellite System (GNSS)-aided and -dependent systems, the aim of this article is to consider threats to vehicle safety from electronic interference and the implications for users, city planners, asset managers, and vehicle manufacturers.

While well-known issues such as privacy aversion, tax avoidance, and fraud are documented, it expands on other less-well-known threats to autonomous vehicles …

Act Tdm-Cp (Transportation Demand Management-Certified Professional) Exam Study Guide Domain I For Preparing Tdm-Cp Exam Candidates, Sara J. Hendricks

Research Reports

Reducing traffic congestion while improving mobility and access will require a combination of coordinated initiatives that include the use of transportation demand management strategies. TDM is a growing transportation specialization that needs more practitioners with education and training in the development, planning, application, and evaluation of TDM programs. TDM is the set of strategies that influences travelers’ decisions to travel by choice of travel mode, trip timing, travel frequency, as well as route, facility, and destination selection. The Association for Commuter Transportation (ACT), the premier international professional organization for TDM professionals, established the TDM-CP professional certification in 2020, to elevate …

Combating Genocide Denial Through Rwanda’S Foreign Policy, Jonathan R. Beloff

Genocide Studies and Prevention: An International Journal

Rwanda’s foreign policy is still greatly influenced by the 1994 Genocide against the Tutsi, commonly referred to as the Rwanda Genocide. Despite the genocidal massacres ending over thirty years ago, the Rwandan government still perceives its continued threat. Despite tangible threats to the state, such as the Democratic Forces for the Liberation of Rwanda (FDLR) decline, the concern of the genocide’s lasting ideology and denial still concerns Rwandan policymakers responsible for the nation’s foreign policy and remembrance. This research relies on in-depth fieldwork with various Rwandan government agencies responsible for crafting state security, foreign policy, and anti-genocide policies. It examines …

Communicating Assessments With Impact: Insights From The Scientific Community, Emily M. Mccarthy

Journal of Strategic Security

Assessments analysts are extensively trained in the application of analytic techniques, but less time is spent equipping them with the tools needed to communicate their assessments effectively. Great pains can be taken to frame, research, and answer an assessment question, but that effort is wasted if the message isn’t heard and embraced by decision makers. An analogous challenge is experienced in the scientific community, where researchers are traditionally trained in methodological rigor rather than impactful communication. Acknowledging this, the scientific community has undertaken a concerted effort to develop and implement evidence-based strategies to communicate its findings with impact. This article …

Systems And Methods For Determining Concrete Strength, Austin Gray Mullins, Sarah Jo Mobley, Kelly Marie Costello

USF Patents

In one embodiment, a concrete strength testing system includes a core drill having a core barrel, a press associated with the core drill that is configured to drive the core barrel into concrete to be tested, a force sensor associated with the core drill that is configured to measure a force with which the core barrel is driven into the concrete by the press, and a depth measurement device configured to measure a depth into the concrete to which the core barrel is driven by the press.

St. Petersburg African American Burial Ground & Gas Plant Neighborhood Timeline, David Shedden

African American Burial Grounds Oral History Project

No abstract provided.

Arts & Literature: Another Roadside Attraction: Pol Pot's Pyre, Craig C. Etcheson

Genocide Studies and Prevention: An International Journal

This piece summarizes the author’s 2001 trip to Anlong Veng, Cambodia, to visit the location of Pol Pot’s cremation near the former headquarters of the Khmer Rouge guerilla movement. The paper describes the terrain that must be traversed in order to get there, and the individuals one encounters along the way. In the process, aspects of Cambodian history and culture are revealed.

Book Review: Eyewitness To Wehrmacht Atrocities On The Eastern Front: A German Soldier’S Memoir Of War And Captivity, Timothy Heck

Genocide Studies and Prevention: An International Journal

No abstract provided.

The Emergence Of Artificial Intelligence-Driven Reservation Services Analyzed Through Push-Pull-Mooring Theory And Their Potential To Enhance Tourism Experiences, Dimitra Skandali, Muhammad Ali Raza

Journal of Global Hospitality and Tourism

Artificial intelligence-based bath bed reservation services signify a novel evaluation of consumer behavior in densely populated tourist destinations. The phenomenon of overcrowded beaches, particularly during the peak summer months at well-known public beaches in Europe, has increased demand during rush hours. The research aims to clarify the key factors that influence the use of these applications, primarily on mobile phones, by applying the Push-Pull-Mooring Theory, in addition to identifying the primary causes of the high demand and the importance of staying close to the shore when sunbathing. The study emphasizes the impact of perceived risk and enjoyment on user behavior, …

The Interplay Of Website Characteristics, Attitude, And Booking Intentions For Different Hotel Websites: A Theory Of Reasoned Action Perspective, Atefeh Charmchian Langroudi, Imran Rahman, Maryam Charmchian Langroudi, John Stephan, Parisa Mohammadi

Journal of Global Hospitality and Tourism

Using the theory of reasoned action as the underlying theoretical foundation, this study examines the direct effects of compatibility, perceived usefulness, communicability, perceived risk, and perceived playfulness on attitudes toward online booking and the indirect effects of these variables on consumers’ intention to use three different online hotel booking channels - independent hotel websites, chain hotel websites, and third-party hotel websites. Additionally, this study tests the direct effect of attitude towards online booking on consumers’ intention to use the three online booking channels. Collected data from 638 participants via Amazon M-Turk was analyzed using partial least squares based structural equation …

Exploring Strategies And Innovations In Airline Profitability Assessment: The Role Of Artificial Intelligence, Elif Degirmenci

Journal of Global Hospitality and Tourism

The airline industry's profitability assessment remains a complex yet critical aspect of strategic decision-making, spanning from hub profitability to individual flight performance. This paper explores the diverse methodologies and challenges involved in evaluating both line and network profitability, emphasizing the need for innovative approaches in reconciling variable costs associated with aircraft types and route assignments. Traditional methods are juxtaposed with innovative concepts like the Blended Aircraft Cost model, offering insights into enhancing market route profitability. Additionally, advanced methodologies such as horizontal and vertical methods are discussed, alongside the role of artificial intelligence in revolutionizing real-time profitability analysis. Through a comprehensive …

Art Meets Commerce: How Exhibitions Shape Visitor Behavior In Tourism Shopping Centers, Xi Wang, Rui Ma, Lan Yang, Jie Zheng

Journal of Global Hospitality and Tourism

Serving as prominent leisure and entertainment platforms, tourism shopping malls have evolved their appeal by integrating art exhibition centers, thus magnifying the retail ambiance. This study dived into the correlation between the incorporation of these art centers within tourism shopping environments and the subsequent consumer propensity to visit, encompassing a meticulous evaluation of both the art exhibits attributes and art exhibition center attributes. Utilizing the technique of structural equation modeling for the analysis, this research unraveled various aspects of this interplay with 437 surveys from art exhibition customers in shopping malls. It was found that all the examined factors, with …

Integrative Multi-Omics And Clinical Data Analysis For Predicting Recurrence And Survival In Uterine Cancer, Varun Sai Raigir

USF Tampa Graduate Theses and Dissertations

The prediction of uterine cancer recurrence is very important for assisting women in reducing the cancer risks and also for the growing field of personalized medicine. The primary aim of this thesis is to investigate the integration of various omics data alongside clinical and therapeutic information to predict survival in uterine cancer. The combination is very important for understanding the risk factors, including clinical aspects, genetics, and the treatment schedule, in order to prescribe the appropriate way to reduce the risk of recurrence, make clinical interactions easier, and enhance personalized patient care. This study utilizes the publicly accessible TCGA dataset, …

Volatile Organic Compound (Voc) Sensing Trend Among Novel 2d/3d Materials, Mohammad Shakhawat Hossain

USF Tampa Graduate Theses and Dissertations

Volatile Organic Compounds (VOCs) present significant health risks to both humans and animals. Long term exposure to certain VOCs belonging to certain chemical classes can cause both short- and long-term effects including nausea, damage to the central nervous system, and cancer. VOCs can be found in various everyday products like varnishes, paints, cooking items, cleaning products, nail polishes etc. Because of their ubiquitous nature, health concerns and risks regarding VOC exposure have become even more pressing. In this study, the VOC sensing capabilities and trends of novel 2D, and 3D materials (perovskite, and phthalocyanines) have been explored through electrochemical and …

Automated Data Analysis For Concussion Patient Records: A Flutter-Based Desktop Application, Fhaheem Tadamarry

USF Tampa Graduate Theses and Dissertations

Concussions are a prevalent and complex medical condition requiring careful clinical assessment and data-driven insights for effective management. This thesis presents the development of an automated data analysis system for concussion patient records, integrating Flutter-based desktop application development with SQL-driven data processing. The system provides a streamlined, interactive interface for clincians and researchers to upload, visualize, and analyze patient data efficiently.

The proposed solution automates data cleaning, preprocessing, and statistical analysis, ensuring robust and reliable insights into demographic, clinical, and recovery-related factors. Key analyses include sex-based differences injury mechanisms, prior head injury impact, mood disorder correlations, and time-to-treatment variations. The …

Multimodal Ai-Driven Biomarker For Early Detection Of Cancer Cachexia, Sabeen Ahmed

USF Tampa Graduate Theses and Dissertations

Cancer cachexia is a metabolic syndrome characterized by substantial skeletal muscle loss, impacting cancer patients' survival and quality of life. Despite its clinical significance, early detection remains a challenge due to the lack of standardized diagnostic criteria and the reliance on indirect markers. This work presents an AI-driven approach to enhance cachexia detection and monitoring by integrating multiple deep learning methodologies. We explore transformer architectures for time-series analysis to model sequential medical data, enabling disease prediction and progression modeling. To ensure robust and reliable decision-making in clinical settings, we explore Bayesian deep neural networks for uncertainty estimation. Additionally, we introduce …

Enhancing Ai Reliability: Probabilistic Inference And Neural Optimization, Behnam Zeinali Rizi

USF Tampa Graduate Theses and Dissertations

Deep neural networks have recently shown better performance than traditional machine learning algorithms in various applications such as computer vision, natural language processing, indoor navigation, and biomedical signal/bio-informatics data processing tasks. However, some main challenges still exist when harnessing these models for different applications. The first challenge is the performance of these methodologies for some specific types of data, such as Biomedical images, IMU measurements, and even bioinformatics data, such as genome expression. Moreover, deploying these models on mobile and IoT devices is computationally challenging. Most devices use cloud computing, where powerful deep-learning models analyze the data on a server. …

Examining Within- And Cross-Language Relationships And Quantitative Methods In Spanish-English Dual Language Learners' School Readiness Skills, Shaunacy R. Sutter

USF Tampa Graduate Theses and Dissertations

The aims of this three paper dissertation are as follows: First, to examine the cross-domain associations between school readiness skills, including oral language, literacy, and math skills, within and across languages in Spanish-English speaking DLLs in PreK. Second, to explore the cross-domain associations between oral language, literacy, and mathematics skills at varying levels of literacy and math achievement. Finally, to review the quantitative methods used in research on school readiness skills and the home and classroom contextual factors that support these skills for Spanish-English speaking DLLs in the United States over the past decade. Spanish-English speaking DLLs enter early childhood …

Exploring Corona Discharge In Electrostatic Printing For Electronics And In Other Application, Zijian Weng

USF Tampa Graduate Theses and Dissertations

The field of printed electronics (PEs) is expanding rapidly, driven by increasing market demand. According to reports, the global market for PEs is expected to reach $23 billion by 2026, with a compound annual growth rate of 18.3% from 2023 to 2028. This growth necessitates the development of innovative printing technologies that can meet these demands efficiently, delivering high-quality, high-resolution PEs suitable for applications in health, environmental monitoring, sports, aerospace, and more.

Currently, PEs manufacturing relies on two main groups of printing technologies. Contact printing methods offer high-speed production but struggle with precision, while non-contact methods provide high resolution but …

The Asset Management Optimization Engine: An Ai And Machine Learning Model Approach To Pavement Asset Management, Matt Versdahl

USF Tampa Graduate Theses and Dissertations

While state Departments of Transportation (DOT) face major funding challenges, the need to find optimal ways to preserve and maintain pavement assets remains. Asset management employs a lowest cost lifecycle method to analyze asset costs and determine the best investment strategies to preserve it throughout its lifecycle. As new technology emerges, so do opportunities to leverage it. DOTs collect a significant amount of performance data on pavement and use it to decide how to keep it in a state of good repair. The literature in this area focuses on engineering techniques applied to treatment strategies. This dissertation research focuses on …

Finding Solutions To Missed Appointments And Leveraging Virtual Technology In The Healthcare Setting, Adam R. Brown

USF Tampa Graduate Theses and Dissertations

The healthcare community faces numerous challenges concerning patients and their ability to attend appointments as scheduled. Reports indicate that annually, between 23% and 34% of appointments are missed. This challenge creates a cascading effect of wasted time, resources, and valuable appointment slots in an already strained environment. The investigation of this phenomenon is not new and has been extensively researched in the operations management literature. While numerous solutions have been proposed over the past decade, there remains a need to continually advance this research. Beyond merely recognizing missed appointments and potential modalities to alleviate this issue within the care framework, …

Awful, Yet Awe-Full: The Sublime Dystopia Of Blade Runner 2049, Charles E. Butt

USF Tampa Graduate Theses and Dissertations

Blockbuster dystopian sci-fi features stories of environmental collapse, authoritarian governments, out of control corporations, unbounded consumerism, and other awful possibilities. Scholars of science fiction broadly agree that this genre explores collective fears, anxieties, and speculations about the present and future. At the same time, film scholars have established that dystopian sci-fi cinema is compelling, and audiences respond to their effects-driven visuals, photorealistic mise-en-scene, and dramatic narratives. This creates an apparent paradox: Blockbuster cinematic aesthetics portray undesirable worlds desirably. I resolve this paradox by arguing that the worldbuilding of spectacle-driven, dystopian sci-fi cinema is Romanticized. That is, the provocative style of …

Telecollaboration As An Approach To Facilitating Intercultural Communicative Competence And Exposure To Arabic Dialects In Arabic As Foreign Language Classrooms In The Us: Exploring Teachers’ Perspectives And Practices, Reham Abuemira

USF Tampa Graduate Theses and Dissertations

The literature on foreign language education shows an increasing interest in incorporating intercultural communicative competence in the foreign language curriculum. However, making intercultural communicative competence an active component in Arabic as a foreign language curriculum in the United States has been overshadowed by a heavy emphasis placed on developing learners’ grammatical competence instead. Intercultural communicative competence has been proven to help language learners develop an awareness of their own culture and other cultures, an appreciation for both the target language and culture, and a set of necessary skills that allow them to communicate effectively and appropriately with others. Intercultural communicative …

Context And Interpretability In Affective Computing Applications, Saandeep Aathreya Sidhapur Lakshminarayan

USF Tampa Graduate Theses and Dissertations

Affective Computing (AC) is a subdomain of AI that primarily deals with recognizing and interpreting human emotions. This field inherently intersects with psychological studies, as the comprehension of human emotions and behaviors necessitates an understanding of their underlying cognitive processes. One such concepts that lends itself from psychology is context. Roughly speaking, context in AC is defined as any meta information (e.g., environment) that can be utilized to describe the interaction between a user and a model to solve a particular application (e.g., emotion recognition). This doctoral dissertation comprises of two distinct yet interconnected components (Part I and II), the …

Mindfulness In Action: A Critical Reflective Self-Study Exploring Mindfulness, Goal Attainment, And The Adult Learning And Development Experience, Michelle Yvette Catlin

USF Tampa Graduate Theses and Dissertations

Through a Critical Reflective Self-Study, this dissertation explores adult learning and development with a focus on the psychological construct of mindfulness and its role in goal attainment. The self-study places me as the subject and centers on my reflections, insights, and lessons learned through my doctoral professional development journey at a large public research university. My experience began with a research focus on mindfulness and mindfulness training for cognitive performance and adult learning and development, and later in my doctoral program, I gained further insight into the facilitation of goal attainment when I studied, practiced, and worked in university student …

Comprehensive Sensing Analysis Of Ofdm Waveform For Future Jrc And Radar Systems, Mehmet Yazgan

USF Tampa Graduate Theses and Dissertations

In today’s interconnected world, sensing is one of the indispensable parts of wireless systems.The need to optimize and diversify the use of the radio frequency spectrum has reached unprecedented importance. Cutting-edge applications, including autonomous technologies, intelligent urban systems, and advanced monitoring, require solutions that can effectively merge communication and sensing functions within limited bandwidth. Orthogonal frequency division multiplexing (OFDM) has emerged as a leading contender in this field due to its superior ability to maximize spectral usage, resilience to multipath interference, and versatile signal configuration options. Reconsidering the use of the OFDM waveform for sensing purposes is undeniably essential due …

Modeling The Pollution From Latrines In A Low- And Middle-Income Country Setting, Christopher Nenninger

USF Tampa Graduate Theses and Dissertations

Latrines are an important sanitation infrastructure that are critical to the United Nations’ effort to end open defecation and achieve the target regarding safely managed sanitation outlined in Sustainable Development Goal #6. This global effort has led to 40,000,000 new users being introduced to improved latrines each year, and this number is expected to increase as the world’s population grows. One of the drawbacks related to these new latrine additions is the potential increase in pollution from hydraulically connected latrine pits to shallow groundwater. This is especially problematic in low- and middle-income countries (LMICs), where communities are more likely to …

Fractional Calculus Approach For Learning Unknown Dynamic System, Haowei(Alice) Chen

USF Tampa Graduate Theses and Dissertations

The rapidly growing interest in data-driven modeling and fractional-order systems highlights a keychallenge in modern science and engineering: capturing long-memory effects and nonlinear behaviors in real-world dynamical processes. Conventional integer-order methods, while powerful, often overlook the history-dependent nature of many phenomena—ranging from viscoelastic materials to anomalous diffusion and hereditary feedback systems. This dissertation addresses that gap by blending fractional calculus with cutting-edge machine learning to create robust, memory-aware modeling and control frameworks.

Beginning with an extension of Dynamic Mode Decomposition (DMD) to fractional-order systems, we introduce Fractional Dynamic Mode Decomposition (F-DMD) as a data-driven tool that leverages Mittag- Leffler functions …

Applications Of Linear Discriminant Analysis In The Biomechanics Of Anterior Cruciate Ligament Injury, Taofeek Braimoh

USF Tampa Graduate Theses and Dissertations

Anterior cruciate ligament (ACL) injury is a prevalent and significant concern in sports medicine, often resulting in long-term consequences that affect quality of life. Despite advancements in medical technology, current methods for addressing the problem of ACL injuries remain inefficient, subjective, and limited in their predictive power. This study explores the potential of Linear Discriminant Analysis (LDA), a supervised machine learning (ML) technique, to improve the diagnosis and risk profiling of ACL injuries. This research aims to create an objective, effective, and precise technique for determining the risk of ACL injuries by examining key biomechanical, physical, and demographical features. The …

The Kinematics And Aerodynamics Of Freely Flying Tiny Insects, Evan J. Williams

USF Tampa Graduate Theses and Dissertations

Tiny insects are an extremely diverse set of organisms that have important engineering and economic applications. These organisms often fly and readily disperse distances that far exceed their body lengths. The mechanisms behind tiny insect flight are not well understood and present complex kinematics and unintuitive aerodynamics that depart from both fixed-winged mechanisms and larger insects. In addition, their tiny spatial and fast temporal scales make them exceedingly difficult to study, and to date, the field has relied on numerical studies and dynamic scaling. Herein, we describe three projects that significantly advanced our understanding of tiny insect flight and experimental …