Digital Commons Network^™

A Psychometric Analysis Of Natural Language Inference Using Transformer Language Models, Antonio Laverghetta Jr.

USF Tampa Graduate Theses and Dissertations

Large language models (LLMs) are poised to transform both academia and industry. But the excitement around these generative AIs has also been met with concern for the true extent of their capabilities. This dissertation helps to address these questions by examining the capabilities of LLMs using the tools of psychometrics. We focus on analyzing the capabilities of LLMs on the task of natural language inference (NLI), a foundational benchmark often used to evaluate new models. We demonstrate that LLMs can reliably predict the psychometric properties of NLI items were those items administered to humans. Through a series of experiments, we …

Storying The Experiences Of A First-Year Teacher’S Mathematics-Related Teacher Identity With A Communities Of Practice Lens, Kelly Jean Navas

USF Tampa Graduate Theses and Dissertations

This longitudinal narrative inquiry explores the influences on a first-year elementary teacher’s mathematics-related teacher identity, employing a community of practice lens. Identity is a complex concept. In this study, identity is viewed as socially constructed through new experiences. These social interactions can be seen as an individual participates in their communities of practice. A mathematics-related teacher identity intertwines a teacher’s mathematical identity with their teacher identity. This can influence their classroom decisions, as well as their planning and implementation of mathematics lessons. To gain insights into the evolution of this mathematics-related teacher identity, I listened to the stories of Suzie, …

Distinct Nrf2 Signaling Thresholds Mediate Lung Tumor Initiation And Progression, Janine M. Deblasi

USF Tampa Graduate Theses and Dissertations

NRF2 is a redox-responsive transcription factor the directs the antioxidant program and several critical metabolic processes. Mutations in NRF2 or its negative regulator KEAP1 occur in up to one third of non-small cell lung cancers (NSCLCs) and are often associated with resistance to therapy and poor outcomes. In the present studies, murine alleles of the Keap1 and Nrf2 mutations found in human NSCLC were developed and I comprehensively investigated their impact on tumor initiation and progression. I observed that chronic Nrf2 stabilization by Keap1 loss-of-function or Nrf2 activating mutation was not sufficient to cause lung tumor initiation, even when p53 …

Cyber-Physical Multi-Robot Systems In A Smart Factory: A Networked Ai Agents Approach, Zixiang Nie

USF Tampa Graduate Theses and Dissertations

This dissertation focuses on addressing the technical challenges of non-stationarity in smart factories through the use of cyber-physical AI agents. Industry 4.0 and smart manufacturing with smart factories as a central role, have a growing demand for Just-in-Time (JIT) and on-demand production, as well as mass customization—all while maintaining high productivity, resource efficiency and resilience. This research positions Multi-Robot Systems (MRS)-driven smart factories. The heterogeneous production and transportation robots in an MRS collaborate to form multiple real-time adjusted production flows achieving the flexibility to accommodate such on-demand, mass customization.

However, the implementation of MRS introduces new sets of challenges, including …

Exploration Of Corona Charge As A Novel In Vitro Human T Cell Dna Transfection Method, Molly A. Skinner

USF Tampa Graduate Theses and Dissertations

With gene-based immunotherapies on the rise to treat a multitude of diseases, the ability to genetically modify cells in a rapid and efficient fashion is necessary to keep up with demand. Gene electrotransfer (gene transfer by electroporation) is an appealing transfection method due to its low cost, high efficiency compared to other physical forms of gene delivery, and low toxicity compared to liposomal or viral vectors.

Traditional gene delivery via electroporation is done within a cuvette where the cell suspension is placed between two plate electrodes. This method requires cells to be moved from the treatment cuvette to a growth …

Communicating For Success: The Importance Of Fairness In Pre-Merger Communication, Correy Retzloff

USF Tampa Graduate Theses and Dissertations

This phenomenological study explores the complexities and influences of pre-merger communication on M&A outcomes from a stakeholder perspective, using the Fair Process Theoretical Framework. The study identified the following six key themes related to pre-merger communication broken down into two distinct categories: important aspects to employees, which include Open and Honest Communication, Engagement and Clarity, Participation and Collaboration, and best practices managers can implement, such as Undertake Fair and Engaging Communication, Prioritize Strategic and Cultural Communication, Ensure Effective and Compliant Communication. The study also found that effective pre-merger communication can positively influence perceptions of fairness in the merging process. These …

Void Formation In Model Liquids, Polymer Glasses, And Granular Materials, Kai Nan

USF Tampa Graduate Theses and Dissertations

Soft matter, as a subfield of condensed matter physics, has gained lots of interest from the academic and industrial communities due to its complexity and intellectual challenges. Soft materials, such as liquids, polymers, and granular materials, are widely used in real-world applications like foams, paints, and lubricants. Furthermore, their cost-effective and unique features like extreme ductility also make soft materials suitable for many advanced applications such as bioimplantable devices.

In Chapter 2, we examine thermodynamic cavitation, a transition from liquid to gas that occurs when the ambient pressure drops below the liquid’s vapor pressure. Varying the …

Development Of Antiviral Peptidomimetics, Songyi Xue

USF Tampa Graduate Theses and Dissertations

Protein-protein interactions (PPIs) are essential for biological processes and are associated with a number of diseases, including cancer, infectious diseases, and neurodegenerative diseases. As a result, modulation of PPIs has been recognized as one of the most promising strategies to develop the novel drugs. Peptide modulators always exhibit higher specificity and affinities with targets than small compounds or monoclonal antibodies, but their broad medicinal effectiveness is constrained by their poor bioavailability and biostability. Peptidomimetics, which have been developed to mimic the structure as well as function of bioactive peptides and proteins, have shown excellent potential in protein surface mimicry and …

From Counter-Strike To Counterterrorism: How The Cheater Reconfigures Our Understanding Of Asymmetric Warfare, Enya C. Silva

USF Tampa Graduate Theses and Dissertations

Around the turn of the century, as the United States increased its military presence in the Middle East in what was widely known as the War on Terror, computer games were also rising in popularity. Military inspired narratives and settings are very common in video games, especially in the genre known as the first person shooter – characterized by a single player, first person point of view. Alexander Galloway provides a vocabulary for understanding the video game, and the first person shooter in particular, derived from the framework of game studies. Scholarship around video games usually either seeks to affirm …

Machine Learning Approach For Static Ransomware Analysis, Aldin Vehabovic

USF Tampa Graduate Theses and Dissertations

Ransomware is a form of malware which uses encryption methods to make data inaccessible to legitimate users. This cyberthreat has emerged as one of the most serious security challenges today, and a wide range of ransomware families have been developed and deployed, causing immense damage to governments, corporations, and private users. As this malware type continues to expand, governments across the world are taking serious steps to limit its reach. In addition, researchers have proposed a range of ransomware detection and attribution schemes, most of which use advanced machine learning (ML) techniques to process and analyze real-world empirical data from …

Using Active Student Responding And Competition Via Kahoot! To Improve Student Academic Engagement At College Level, Brittany Pearson

USF Tampa Graduate Theses and Dissertations

Active student responding (ASR) is an effective intervention used in schools to improve student engagement and academic performance. Among the various ASR modalities, online applications have received much more attention than low-tech ASR modalities due to the widespread use of smartphones and the availability of mobile applications. One totable online application is Kahoot!, which offers a range of interactive features. Considering the limited existing research on using ASR at the college level, particularly, using Kahoot!, this study examined the use of Kahoot! to improve academic engagement in college students. The study was conducted with one undergraduate class in applied behavior …

Exploration Of Shared Passenger Urban Air Mobility – Integrated Network Design, Operation Scheduling And System Configuration, Zhiqiang Wu

USF Tampa Graduate Theses and Dissertations

Urban air mobility (UAM) is an emerging concept proposed in recent years that uses electric vertical take-off and landing vehicles (eVTOLs). UAM is expected to offer an alternative way of transporting passengers and goods in urban areas with significantly improved mobility by making use of low-altitude airspace. Considering the high capital investment of eVTOLs and relative high fee of using UAM passenger service, a viable UAM format is shared passenger service. Such a service is usually station-based, i.e., with vertiport located in popular sites where potential passengers can access. To understand the viability of such use cases, the vertiport owners …

Optimizing The Membrane-Assisted Recovery Of Solids (Mars) Technology For Nutrient Removal And Recovery From Concentrated Waste Streams, Ben Yamin Hoque

USF Tampa Graduate Theses and Dissertations

The effective management of nutrients, such as nitrogen and phosphorus, in decentralizedwastewater treatment environments is a pressing challenge. These nutrients pose significant risks to the environment and public health when discharged into water bodies, while their recovery and reuse can help alleviate nutrient shortages in various industries, including agriculture. Conventional biological treatment methods used in centralized facilities are not suitable for decentralized systems due to operational complexities and space limitations. Chemical treatment mechanisms, such as adsorption, ion exchange, precipitation, and air-stripping, offer potential solutions but are accompanied by challenges like high costs and logistical issues. Therefore, finding a sustainable and …

Enhancing And Securing Wireless Medical Technology For Diagnosis And Treatment Of Lower Urinary Tract Dysfunction, Farhath Zareen

USF Tampa Graduate Theses and Dissertations

Lower urinary tract dysfunction (LUTD) is a debilitating medical condition that affects millions of individuals worldwide. Urodynamics is the current gold standard for diagnosing LUTD but uses non-physiologically fast, retrograde cystometric filling to obtain a brief snapshot of bladder function. Current state-of-the-art research in bladder monitoring includes ambulatory urodynamics using wireless implantable devices to evaluate bladder function during natural filling for long-term monitoring. However, there are various challenges and limitations to this multi-sensor approach. This research focuses on developing frameworks for automated event detection, data analysis, and optimization of long-term bladder recordingsto improve the diagnosis and treatment of LUTD. In …

Evaluating The Accuracy Of Inertial Measurment Units In Detecting Gait Parameters For Lower Limb Prosthesis And Orthosis Users, Bryce Fuller

USF Tampa Graduate Theses and Dissertations

A Gait Extraction System (GES) was developed to investigate the accuracy of wearable sensors by producing gait parameters, to be compared against a gold standard motion capture system. Two inertial measurement units (IMUs) were placed in the lower limb region, specifically in the shank region of each leg. The GES uses algorithms to extract the gait cycle from raw acceleration data to produce gait parameters such as stride length, stride time, step length, step time, stance time, swing time and cadence. There were three main trials that consisted solely of a flat road, a road with small hills and a …

Optimization Techniques For Machine Learning Inference And Near Memory Image Processing In Hardware For Highly Constrained Iot Edge Nodes, Rajeev Joshi

USF Tampa Graduate Theses and Dissertations

The growing demand for fast and energy-efficient hardware for resource-constrained Internet of Things (IoT) edge devices has highlighted the limitations of conventional computing architectures. This research focuses on addressing the demand for fast, optimized, and energy-efficient machine learning inference engines as well as image processing in IoT edge applications. In this work, we address three challenging research problems and devise efficient solutions. Our investigation involved comprehensive exploration and analysis, leading to the proposal of effective approaches for overcoming these demanding issues. Through our work, we contribute novel solutions that offer improved efficiency and effectiveness in handling these research problems.

First, …

Vehicle-To-Vehicle (V2v) And Vehicle-To-Infrastructure (V2i) Based Intersection Movement Assist, Lane Change Assist, And Rear Traffic Jam Formation Safety Applications, Gustavo Olenscki

USF Tampa Graduate Theses and Dissertations

Vehicle-to-Vehicle (V2V) technology can be implemented in many different ways in terms of communication protocols. Utilizing Dedicated Short-Range Communication (DSRC) in the implementation of V2V, or even Vehicle-to-Everything (V2X), may prove to be extremely effective in solving issues related to transit safety as well as traffic flow. Forward Collision Warning (FCW), Slow Moving Vehicle (SMV), and Lane Keep Assist (LKA) are some examples of V2V safety applications whereas Platoonig may be considered to focus on improving traffic flow and fuel efficiency. Vehicles can be equipped with inexpensive embedded devices known as on-board units (OBUs) which offers the capability of data …

Multimodal Assessment Of Human Behavior With Applications In Analysis Of Autism Spectrum Disorder, Sk Rahatul Jannat

USF Tampa Graduate Theses and Dissertations

Human behavior analysis is an important application area of artificial intelligence. Usingdata collected from sensors (e.g., cameras), human behavior including, but not limited to, emotions, expressions, body movement, and eye gaze are analyzed. This analysis is useful in applications in diverse fields ranging from healthcare, defense, education, and marketing. Considering this, in this dissertation, we have proposed new approaches to emotion and expression recognition, subject identification, and classification of autism spectrum disorder. More specifically, this dissertation has the following contributions: 1) A new approach for multimodal ubiquitous emotion recognition is proposed; 2) Investigation into the impact of large expression variations …

Flow Generation And Propagation From Headwater Wetlands To Downstream Waters, Leanne Marie Stepchinski

USF Tampa Graduate Theses and Dissertations

Headwater wetlands are connected to one another and to downstream waters by dynamic hydrologic flowpaths, functioning as integrated hydrologic networks at the watershed scale. Headwater wetlands perform a variety of hydrologic lag, sink, and source functions, including flow generation and propagation, thereby contributing to the natural flow regimes of downgradient waters. The functions of individual wetlands and their contributions to hydrologic connectivity and subsequently to the natural flow regime have been widely studied and are well understood. Comparatively, the functions and hydrologic connectivity within wetland complexes as a whole and their collective subsequent contributions to the natural flow regime of …

Secure Lightweight Cryptographic Hardware Constructions For Deeply Embedded Systems, Jasmin Kaur

USF Tampa Graduate Theses and Dissertations

Lightweight cryptography plays a vital role in securing resource-constrained deeply-embedded systems such as implantable and wearable medical devices, smart fabrics, smart homes, radio frequency identification tags, sensor networks, and privacy-constrained usage models. The National Institute of Standards and Technology (NIST) initiated a standardization process for lightweight cryptography, a relatively-long multi-year effort, which eventually concluded in February 2023. Side-channel attacks (SCAs) exploit the vulnerabilities of a system by observing and analyzing side-channel information leakages. Fault analysis attacks are a type of active SCAs, where an intelligent adversary injects bit/byte faults into the implementation of a cryptographic cipher to recover the secret …

Enhancing Smart Grid Security And Reliability Through Graph Signal Processing And Energy Data Analytics, Md Abul Hasnat

USF Tampa Graduate Theses and Dissertations

Situational awareness in a large, dynamic, and complex cyber-physical critical infrastructure, such as a smart grid, is vital for ensuring its smooth and uninterrupted operation. With the evolving realities of the modern-day smart grids, new challenges associated with the situational awareness of these systems are emerging that demand intelligent and efficient solutions. This dissertation intends to address several problems for enhancing situational awareness by studying the dynamic interaction among the components of the smart grids through energy data analytics using various data-driven, machine learning, and graph signal processing (GSP) techniques. The presented work provides valuable insight into the data-driven analysis …

Enhancing The Safety And Reliability Of Closed-Loop Medical Control Systems, Shakil Mahmud

USF Tampa Graduate Theses and Dissertations

The Internet of Medical Things (IoMT) is a rapidly advancing field that relies heavily on semi- or closed-loop Wearable and Implantable Medical Devices (WIMDs). In recent years, there has been renewed interest in clinical automation, with researchers looking for innovative solutions for Physiological Closed-Loop Control Systems (PCLCS). However, these devices can have various security issues, including vulnerabilities in software and firmware, physical attacks, weak encryption/authentication, and compromised system components. Government agencies, including the US Food and Drug Administration (FDA) and European Medicines Agency (EMA), emphasize the importance of ensuring the safety and reliability of PCLCS since malfunctioning medical devices can …

Vascular And Auditory Changes After Repetitive Traumatic Brain Injury, Courtney Lynn Penn

USF Tampa Graduate Theses and Dissertations

Traumatic brain injury (TBI) affects over 2.87 million people in the US each year. The large majority of these injuries can be classified as mild. However, evidence suggests that even mild TBIs can lead to long-lasting symptoms that greatly impact quality of life. This is particularly true when an individual sustains multiple TBIs (repetitive TBI, rTBI). Much of the damage caused by rTBI is due to secondary injury mechanisms that cause the initial injury site to spread and worsen over time. No therapies currently exist which can mitigate secondary injury, and monitoring this phase of rTBI is difficult. Development of …

Understanding How Cancer Adapts To Stress And Therapy Using Evolutionary Game Theory, Mariyah Pressley

USF Tampa Graduate Theses and Dissertations

Adaptive responses in cancer promote disease initiation, progression, and resistance to treatment. Understanding the underlying evolutionary dynamics behind these adaptive responses is crucial for developing effective therapeutic strategies. Evolutionary game theory (EGT) has proven a useful tool in analyzing how different cellular behaviors and evolutionary forces shape the dynamics of tumor growth, response to therapy, and the emergence of resistance. In this dissertation, we utilize EGT to understand the adaptive responses of cancer through the lens of ecology and evolution. By employing fitness-generating models and exploring various ecological contexts, we aimed to unveil critical factors influencing aggressive cell phenotypes, treatment …

Visualizing Empire: Advancing Roman Archaeology In Sicily And Malta Through 3d Digitization And Spatial Technologies, Stephan N. Hassam

USF Tampa Graduate Theses and Dissertations

This dissertation addresses the negative effects of data fragmentation and heterogeneity on the Roman archaeology of Malta and Sicily. Roman period villas in Sicily and Roman period ceramics in Malta have both been marginalized within scholarship on Roman archaeology due to historical processes, bureaucratic organizations, and different academic trajectories and cultures. Digital technologies, especially 3D digitization and spatial information are well poised to address the fragmentation of these two contexts from wider discussions on the Roman Mediterranean. The dissertation introduces two long term projects, the E-unification of the De Piro Collection (EDPC) and the Digital Atlas of Roman Sicily – …

Development And Application Of Γ-Aa Peptide On Enzyme Mimetic And Biomolecular Agents, Meng Gu

USF Tampa Graduate Theses and Dissertations

This dissertation investigates the multifaceted utility of γ-AA peptides in various biological contexts, highlighting their capability in mimicking bioactive proteins, facilitating novel drug discovery, and obstructing protein-protein interactions. Initially, we introduced the design of an ingenious γ-AA peptide scaffold that replicates the hydrolysis capabilities of natural enzymes, with the intention to overcome their stability limitations. Notably, the designed catalyst exhibited excellent esterase activity with the coordination of Zn2+. Subsequently, optimization of a linear γ-AA peptide compound through a dimeric strategy resulted in P3-1, a potent inhibitor of amyloid-β 42. Evidenced by both in vivo and in vitro experiments, its potential …

Characterization And Implementation Of An All-In-One Heating, Impedance, And Pulsing Device For Molecular Delivery Applications, Alex Otten

USF Tampa Graduate Theses and Dissertations

Cancer impacts millions of Americans every year, with an estimated 1.9 million new cases and 600,000 deaths predicted to occur in 2023 [1]. Medical professionals and scientists have developed several techniques and procedures to combat this disease including gene therapies, surgeries, and chemotherapies. Several of these techniques incorporate the use of pulsed electric fields to deliver molecular material to treat, or directly destroy, the cells of the tumor. These pulsed electric field techniques are known as gene electrotransfer, electrochemotherapy, and irreversible electroporation. All three techniques utilize different electrical parameters to achieve their target tumor reduction or expression goals. Efforts to …

Exploring Novel Two Dimensional Diluted Magnetic Semiconductors And Heterostructures For Spintronics Applications, Thi Hai Yen Pham

USF Tampa Graduate Theses and Dissertations

Atomically thin transition metal dichalcogenide (TMD) semiconductors hold enormous potential for modern optoelectronic devices, magnetic sensing, and quantum communications. Long-range ferromagnetism can be induced in TMD monolayers by introducing a small amount of magnetic dopants to form diluted magnetic semiconductors (DMSs), making them promising candidates for applications in ultralow-power and ultracompact spintronic nanodevices. This dissertation research aims to address two contemporary challenges in the fields of nano-magnetism and spintronics: controllability of magnetic dopants in TMD monolayers in the form of MX2 (M = W, Mo; X = S, Se) and understanding the fundamental physical mechanisms that give rise to magnetism …

Adsorption Of Long And Short Per- And Polyfluoroalkyl Substances (Pfas) Onto Granular Activated Carbon And Porous Organic Polymers, Yan Zhang

USF Tampa Graduate Theses and Dissertations

Per- and polyfluoroalkyl substances (PFAS) are man-made environmental contaminants causing increasing global concern due to their adverse effect on environmental and human health. Conventional treatment methods are ineffective in removing short-chain PFAS because of their hydrophilicity and resistance to degradation. This study is to design an appropriate adsorption system to remove both long- and short-chain PFSA at environmentally relevant concentrations and conditions. Four primary research tasks were designed to evaluate the performance of a structurally-tunable and chemically-stable porous organic polymers (POPs) for PFAS removal under realistic environmental conditions, including the assessment of POPs’ performance without co-contaminants (Chapter 2), the assessment …

Exploratory Data-Driven Models For Water Quality: A Case Study For Tampa Bay Water, Sandra Sekyere

USF Tampa Graduate Theses and Dissertations

Water, a crucial resource for sustaining life, covers approximately 70% of the earth's surface. Nonetheless, the quality of water is deteriorating rapidly due to the rapid growth of urban areas and industries, which is a worrying trend causing harm to human health and the ecosystem. Water quality forecasting has a key role in water resources management by enabling effective pollution control, ecosystem monitoring, and decision-making.

Previously, traditional statistical models were used to forecast water quality, but they were unable to examine the non-linear relationships between water quality parameters, and they assumed that all datasets were distributed normally. This study uses …