Digital Commons Network^™

Systems And Methods For Providing Active Contraction Properties Of The Myocardium Using Limited Clinical Metrics, Igor Nobrega, Wenbin Mao

USF Patents

A deep learning model can be used for the identification of active contraction properties of the myocardium using limited clinical methods. A method for identifying the active contraction properties can include inputting a plurality of clinical metrics into a deep learning model. The method can further include inputting a representation of a cardiac cycle through a pressure volume-loop into the deep learning model. The deep learning model can include a first process layer with a first intermediate output and a second process layer that receives the first intermediate output as a first intermediate input. The method can further include outputting …

Evaluating Student Driver Knowledge And Behaviors Through A University Driver Education Safety Refresher Program, Jason Jackman, Audrey Everett, Kayleigh Murray, Leomar White

CUTR Internal Grant Research Program

This pilot program utilized an online survey to identify driver behaviors among students, faculty, and staff on the University of South Florida (USF) Tampa campus. Adopting a social marketing approach, the program focused on identifying and addressing driver safety issues and behaviors. The research aimed to develop recommendations for creating a safer driving environment at USF by updating driver safety information for students and raising awareness about safety across all campus transportation modes.

As part of this initiative, the USF Student Government (SG) partnered with the Center for Urban Transportation Research (CUTR) to pilot a new student transportation officer position …

Archaeological, Pxrf, And Gis Analyses At The Trestle Bridge Site (8ja186), Northwest Florida, Victoria Marie Freitas

USF Tampa Graduate Theses and Dissertations

The Trestle Bridge Site (8JA186), located on an eroding riverbank of the upper Apalachicola River in northwest Florida, represents a significant multi-component precontact site with occupations that date from the Early Woodland (~800 B.C.–A.D. 300) and the Fort Walton periods (A.D. 1000-1500). Previous research has broadly classified the site based on ceramic and lithic assemblages, but a detailed investigation into pottery production and environmental changes over time at the site remains unexplored in the understudied Apalachicola valley region. There also appears to be over a thousand-year gap in occupation at the site, as no Middle or Late Woodland ceramic or …

Evaluating The Protective Role Of Epo-R76e In Oxidative Stress-Induced Cell Death In Retinal Pigment Epithelium, Jemima Alam

USF Tampa Graduate Theses and Dissertations

Age-Related Macular Degeneration (AMD) causes dysfunction and loss of Retinal pigment epithelium (RPE). The degeneration and death of RPE cells causes irreversible visual impairment. Oxidative stress is a widely accepted triggering factor for RPE dysfunction. A hormone called Erythropoietin (EPO) is responsible to facilitate the erythropoiesis process, prevents progenitor cells from apoptosis and protects photoreceptors downregulating retinal degeneration. In this study, we aim to elucidate the role of EPO in downregulating oxidative stress in RPE. It is hypothesized that EPO will have a positive impact on suppressing oxidative stress and ferroptosis-mediated RPE degeneration due to its vital role in apoptosis …

“We Built Our Plane As We Flew It”: Communicative Resilience In Nonprofit Organizing During The Pandemic, Evgeniya Pyatovskaya

USF Tampa Graduate Theses and Dissertations

This dissertation investigates how nonprofit organizations cultivate resilience through communication and practice during periods of disruption, focusing on the COVID-19 pandemic. Using a case study of Apex for Youth—a New York City-based nonprofit serving low-income Asian and immigrant youth—this research explores how organizational members co-constructed resilience in response to both the pandemic and rising anti-Asian hate. Guided by the Communicative Theory of Resilience (CTR) and practice theory, resilience is examined as a dynamic, relational process enacted through daily organizational life.

Data were collected through semi-structured interviews, Formative Influences Timelines (FIT), ethnographic observation, and organizational documents. Reflexive thematic analysis revealed four …

Temperature-Driven Air Circulation In Caves With Blind Passages, Chris Hendy Dr, David J. Merritt, Shannon Corkill, Cross Cross

International Journal of Speleology

Two blind-passage show-caves in the Waitomo district of New Zealand, Ruakuri Cave and Aranui Cave, have been monitored for the impact of visitors on their environment, especially focusing on partial pressures of carbon dioxide because high levels cause speleothem degradation. In Ruakuri Cave, annual cycles of daily mean pCO₂ correspond with annual cycles of visitor numbers, both peaking in summer. The origin of the high pCO₂ had been assumed to be anthropogenic due to respiration from visitors. Prolonged intervals with no visitation during the Covid-19 pandemic saw the daily mean pCO₂ continuing to show the annual cycle, …

Counting Doors By Integrating Pomdp Models And Pid Controllers, Rwaida Alssadi, Sara Zuiran, Jolie Elliott, Phi Duong, Chinedum Ajabor, Alwaleed Alsaleemi, Samuel Boddepalli, Vamshi Gattikoppula, Pavan Manigandla, Akram Alghanmi, Muntaser Syed, Samaher Damanhori, Marius Silaghi

Florida Conference on Recent Advances in Robotics

This paper presents an enhanced hybrid planning architecture that integrates Partially Observable Markov Decision Processes (POMDPs) with Proportional-Integral-Derivative (PID) control for indoor robot navigation under uncertainty. Our approach uses PID controller feedback—proportional, integral, and derivative signals—as observation variables in the POMDP model, exploiting well tested mechanisms of processing sensor data. A case study is conducted using an iCreate3 robot navigating a university corridor to deliver a load to a specified room by identifying door frames. We evaluate three progressively refined models with increasing sensor integration and probabilistic reasoning. Experimental results demonstrate that the multi-sensor fusion model achieves an 85% task …

A Visual Question Answering-Based Object Detection Framework Using A Team Of Multi-Agent Uavs, Stéphane Lee, Nathan Rayon, Hakki Erhan Sevil

Florida Conference on Recent Advances in Robotics

This paper presents an autonomous multi-agent unmanned aerial vehicle (UAV) system designed to perform object detection through Visual Question Answering (VQA) using aerial imagery. The system utilizes an entropy-based distributed behavior model to coordinate UAV movements toward designated waypoints. A VQA model is used to analyze aerial footage for detection of objects of interest. The study investigates the impact of various distributed behavior configurations, including number of UAVs, UAV formations, flight altitude, and separation distance. After analysis, a final optimized configuration for maximizing surface area coverage and VQA model performance were found. These findings contribute to the development of aerial …

Evaluating Relative Localization In Gps-Denied Environments Using Starling2 Uavs, Taiwo Hazeez, Cosme Penney, Daniel Guido, Pratik Mukherjee

Florida Conference on Recent Advances in Robotics

This paper presents preliminary results from a study that evaluated vision-based methods for relative localization in GPS-denied environments using Starling 2 drones as test agents. For distributed multi-agent coordination, robot-to-robot localization is critical. In this direction, we evaluate two vision- based detection methods: fiducial-marker based and neural network-based. We use a You Only Look Once (YOLOv8) neural network for drone detection for the on-board localization method. The model was trained from scratch and fine-tuned on a custom dataset. The model performance was 0.94 for [email protected] and 0.63 for [email protected]:0.95. The results demonstrated robust detection under diverse visual conditions. Additionally, we …

Accelerating Early-Stage Robot Navigation Development With Motion Capture And Ros, Daniel Granda, Vladimir Gunichev, Caleb Sanchez, James Vanzwieten, Yufei Tang, Pratik Mukherjee

Florida Conference on Recent Advances in Robotics

Developing and testing navigation controllers for mobile robots often involves significant challenges related to onboard sensor limitations and the complexities of sensor fusion. Inaccurate or noisy localization data can obscure the true performance of a control algorithm, and sensor integration represents a time-consuming aspect of robotics projects. This paper presents a framework utilizing an external motion capture (MoCap) system integrated with the Robot Operating System (ROS) to provide high-fidelity, ground-truth localization for a Clearpath Husky robot. We detail the system architecture, including custom ROS tools for waypoint collection and navigation. By decoupling controller development from onboard sensor challenges, this framework …

The Effect Of Rivet Joints On The Properties Of The Pultruded Glass Fiber Reinforced Plastic (Gfrp) Joined Members, Oren Masory, Alexandre Chevallier, Leif Carlsson

Florida Conference on Recent Advances in Robotics

This study investigates the properties of Pultruded Glass Fiber Reinforced Plastic (GFRP) rails used in low load bearing structures that are joined with rivets. The study focuses on the effect of the rivet connection on the properties of the rails rather than than focusing on joint strength. Samples were taken from commercially available products and tested for maximum stress in tension and compression. The samples were taken from the flange of a U channel to which another member was connected by rivets. After testing the resin was removed and the fibers along the edge of the rivet was examined under …

Text-To-Image Model-Based Image Segmentation For Scene Understanding In Autonomous Robot Navigation, Stéphane Lee, Hakki Erhan Sevil

Florida Conference on Recent Advances in Robotics

Image segmentation is essential for navigation and scene understanding in autonomous systems, particularly in un- structured outdoor environments. This study investigates the seg- mentation capabilities of DALL-E 3, a generative text-to-image model, that is not explicitly trained for semantic segmentation. A custom segmentation pipeline was developed to evaluate and refine DALL-E 3 outputs on outdoor images from the RELLIS- 3D dataset. The post-processing workflow includes morphological operations with varied structure elements to enhance segmenta- tion accuracy. Segmentation accuracy was assessed using mean Intersection over Union (mIoU) across selected terrain classes. Results show that the raw DALL-E 3 outputs were improved …

Methods And Compositions Related To Modified Green Fluorescent Protein (Gfp) With An Embedded Foreign Peptide, Vladimir N. Uversky, Bogdan S. Melnik

USF Patents

Disclosed herein are methods and compositions comprising chimeric green fluorescent protein (GFP) molecules embedded with foreign molecules. Also disclosed are methods of treating a subject with chimeric GFP molecules embedded with foreign molecules. Further disclosed are methods of delivering a desired molecule to a cell, wherein said desired molecule is embedded within a chimeric GFP molecule.

Tumor-Infiltrating Lymphocytes For Adoptive Cell Therapy, Amod A. Sarnaik, Shari Pilon-Thomas, Mark Mclaughlin, Hao Liu

USF Patents

Disclosed are compositions and methods for ex vivo expansion of tumor infiltrating lymphocytes for use in adoptive cell therapy (ACT). Also disclosed are compositions and method for identifying an agent for ex vivo expansion of tumor infiltrating lymphocytes for use in ACT. Also disclosed are methods for treating cancer using tumor-infiltrating lymphocytes expanded by the disclosed methods.

A Modern Look At Tampa's Museums: Sustainability, Evening Socials, And Exploring The Gulf Islands National Seashore, Ozlem Kucuk

International Visiting Researcher Showcase

This study focuses on enhancing sustainability and expanding the reach of selected museums in Tampa amidst a competitive landscape. It emphasizes the need for transformative changes and effective marketing strategies to maintain relevance and financial viability. The research promotes the adoption of self-sustaining social marketing techniques to generate economic returns and foster deeper community engagement. Central to this investigation is a novel museum concept aimed at promoting environmental stewardship and cultural awareness while facilitating social interactions among diverse populations. By doing so, it seeks to attract a broader audience to Tampa, known for its rich history, vibrant culture, and stunning …

Organic Anion Lithium Ionic Cocrystal Compounds And Compositions, Michael John Zaworotko, Naga Duggirala, Adam John Smith, Roland Douglas Shytle

USF Patents

A cocrystal having the formula LiX·aM, or a solvate or hydrate thereof, wherein X is a conjugate base of an organic acid, M is a neutral organic molecule, and a is from 0.5 to 4, pharmaceutical compositions comprising such cocrystals, cocrystal solvates, or cocrystal hydrates, and methods of preparing such cocrystals, cocrystal solvates, or cocrystal hydrates, and such pharmaceutical compositions.

Crow's Nest, April 28, 2025, Crow's Nest Staff

Crow's Nest

No abstract provided.

Gnsi Decision Brief: De Oppresso Liber – Applying Green Beret Identify And Ethos To Build U.S. Military Resiliency, Robert S. Burrell, Joseph E. Long, Charles Cleveland

GNSI Decision Briefs

Military ethos is the “spirit of the unit, which is the sense of unity that leads warriors on the battlefield to believe that the lives of those around them are more important than their own.” In 2025 Secretary of Defense Pete Hegseth promised a return to a “warrior ethos,” which he said the Department of Defense (DOD) has lost because of the recent politicized climate, including diversity, equity, and inclusion policies. This brief will utilize the Army's Special Forces as a viable model for achieving collective military spirit in one of the world's most diverse nations.

Hypergraph Search For Real-Time Multi-Robot Task Allocation In A Smart Factory, Zixiang Nie, Kwang-Cheng Chen

USF Patents

Task assignment for multi-robot systems (MRSs) in a smart factory (Industry 4.0) is described. Aspects are directed to a hypergraph based MRS and production model facilitating the cooperation among robots and serving frequent reconfiguration desired in Industry 4.0. Aspects are directed to a time complexity friendly search algorithm for real-time application using a hypergraph model to get task assignment(s). Parameters are provided for a tradeoff between solution optimality and time complexity. In an implementation, an example system can include a MRS including robots, wherein the MRS is configured to perform a manufacturing task, and a computing device configure to perform …

Publicly Verifiable And Resilient Symmetric Authentication And Privacy Systems And Related Methods, Attila Altay Yavuz

USF Patents

A method for publicly verifiable symmetric cryptography is disclosed. The method includes: obtaining an initial encrypted key and a homomorphic public key; obtaining a first message and an initial signature; calculating an initial hashed value of the first message; setting a cryptographic function of the initial hashed value of the first message and an initial private key; generating an evaluated value based on the cryptographic function, the homomorphic public key, the initial encrypted key, and the initial hashed value of the first message; and transmitting, at the verifier, a verification result based on a hashed value of the initial signature …

Essay, Waterskiing Lake Maggiore, Jack E. Davis

Creekshed: Ekphrastic Writing with the Archives

“Waterskiing Lake Maggiore” is a first-person narrative that recalls Davis' experience waterskiing Lake Maggiore, a body of water that has been polluted by manmade endeavors. The narrative draws parallels between human action, natural consequences, and the desire for a more equitable relationship with nature.

Crow's Nest, April 14, 2025, Crow's Nest Staff

Crow's Nest

The April 14, 2025, issue of Crow's Nest.

Between The Land And The Sea: Belizean Voices In Environmental Governance, Kris-An K. Hinds

USF Tampa Graduate Theses and Dissertations

Coastal communities around the world are at the epicenter of dynamic socio-environmental transformations driven by the impacts of climate change, shifting human–more-than-human environmental relationships, and the decisions made in response to these challenges. As environmental concerns intensify, the governance decisions made to address these impacts will determine the severity of the impacts and the future of affected coastal areas. In regions such as the Caribbean, Central America, and Latin America, environmental governance is complicated by uneven power dynamics, historical legacies of racialized environmental spaces, and the ongoing challenge of balancing national economic growth with environmental preservation. These transformations are not …

Corridor-Wide Surveillance Using Unmanned Aircraft Systems Phase Iii: Exploration Of The Implementation Of Using Unmanned Aircraft Systems For Freeway Incident Detection And Management: Part B, Yu Zhang, Achilleas Kourtellis, Joseph Post, Bai Li, Brian Porter, Mahdi Monemi Nodehi

Research Reports

In the third phase of the project, the research team continued utilizing drone systems equipped with thermal cameras to enable real-time detection of traffic incidents and their resulting non-recurrent congestion on freeways, while distinguishing them from recurrent congestion. A comprehensive literature review on existing traffic incident detection methods was conducted. Building on insights from the literature and prior accomplishments, the team designed and implemented a drone-based incident detection framework. This framework first extracts vehicle trajectories at fixed intervals from thermal video data and generates corresponding trajectory images. A customized convolutional neural network (CNN) based deep learning model is then developed …

Argentine Diaspora In The United States: Experiences Of Recent Emigrants And Their Ties With The Homeland, Anabela Cibele Villach Vaquer

USF Tampa Graduate Theses and Dissertations

This thesis examines the Argentine diaspora settled in the United States. It analyzes both the experiences of Argentines who have migrated to the United States in the last decade and the transnational ties they develop with the home country as well as the diaspora engagement policies put in place by the Argentine State. The research addresses three key questions: What are the main characteristics of Argentine emigrants who have moved to the United States over the past decade? How do recent Argentine migrants in the United States construct and maintain their transnational ties with their country of origin? Is the …

Large Area Sintering Test Platform And Associated Method Of Use, Christopher Joseph Gardiner, Justin Nussbaum, Nathan Crane

USF Patents

A large area sintering platform, system, and methodology. The system includes a convection oven with a projection window disposed within a top surface of the oven. A platform is disposed within the oven below the window at a spaced distance away from the window. A powder is positioned on top of the platform, with a thermocouple positioned within the powder on the platform. A high intensity projector moves in sync with the platform, and uses low intensities and long exposure times to project an image through the window onto the powder and sinter the powder to fabricate the desired model …

Ultrahigh Surface Area Materials And Methods Of Making The Same, Jay A. Bieber

USF Patents

In one embodiment, a surface has a laser-beam machined area including an array of micro-sized conical pillars that are arranged in orthogonal rows and columns across the surface and that extend upward, the conical pillars defining deep troughs between them that are configured to absorb electrons, electromagnetic radiation, or both, the conical pillars tapering from relatively wide bases to pointed tips, the conical pillars comprising outer surfaces that are covered with a plurality of nanoparticles.

Work, War, Wit, Wisdom: Lessons And Legacies From Ybor City, Donna Piñero Parrino

Tampa Bay History

No abstract provided.

Enhancing State-Of-The-Art Motor Imagery Classification With Reinforcement Learning, Anton Shepelev

USF Tampa Graduate Theses and Dissertations

One of the key obstacles to the rapid adoption of non-invasive Brain-Computer Interfaces (BCIs) for Motor Imagery (MI) is the low signal-to-noise ratio, and the substantial data requirements which can be mentally taxing for users. EEGNet, a compact Convolutional Neural Network (CNN), has long been considered the state-of-the-art (SOTA) for MI classification, demonstrating strong performance even with limited data. However, recent studies advocate for integrating Deep Reinforcement Learning (RL) to further enhance classification accuracy by dynamically optimizing feature extraction and decision-making processes. Despite this potential, practical implementations remain scarce due to challenges in stabilizing RL training and adapting it to …

Pilot Application Of Biometric-Based Vehicle Occupancy Detection On Managed Lanes For Congestion Reduction, Sara J. Hendricks, Philip L. Winters, Poojitha Bolleni

Research Reports

This study tested the accuracy and reliability of a biometric vehicle occupancy detection technology. Downloaded onto a carpooler’s mobile device, the app enables measuring the number of passengers in a vehicle for purposes of high occupancy vehicle (HOV) and high occupancy toll (HOT) lane management and incentivization. Volunteers recruited from South Florida, the Tampa Bay area, and Utah used the app to log carpool trips that were recorded and validated by the app. The data were compared against digital photos taken at the same time as the trip to verify that the carpool validation was correct. A survey was conducted …