Digital Commons Network^™

Subjectivity In Circulation: Jean Baudrillard And The Image As Objective Reality, Jacob Crawley

Honors Undergraduate Theses

The intent of this thesis is to examine Jean Baudrillard’s theory of the image in both historical and philosophical terms and propose that his understanding of the image as disconnected from any sort of objective reality is an important starting point for further discussion of the photographic image. This thesis seeks to answer the question – how does Baudrillard’s theory of the photographic image shape our contemporary understanding of images, and what are the implications of his removal of the referent to reality within photographic images on mass culture, society, and the current state of image creation? This paper seeks …

A Holistic Approach To Animal Farming: Integrating Bioregionalism And Socialist Ecofeminism Within The Context Of Concentrated Animal Feeding Operations, Sarah R. Spears

Honors Undergraduate Theses

This paper addresses the harmful effects of concentrated animal feeding operations (CAFOs) within animal farming systems, including poor animal welfare, environmental damage, and environmental injustice. I argue that bioregionalism and socialist ecofeminism can help inform a holistic approach to mitigating these harms and evoke ethical and sustainable animal farming systems. Bioregionalism emphasizes local resource use, community engagement, and ecological knowledge within a specific region, while socialist ecofeminism critiques oppressive systems and seeks to uplift the viewpoints of all beings, including animals, nature, and humans of various identities. Through a scaffolded hypothetical case study informed by the CAFOs-practicing hog farms in …

Don’T Say Inequality - Ucf Instructors’ Experiences With Florida’S Senate Bill 266 And Its Legislative Kin, Liam A. Gundy

Honors Undergraduate Theses

This study examines the experiences of UCF instructors regarding the implementation of Florida’s Senate Bill 266, which was signed into law in 2023. SB266 prohibits the inclusion of systemic topics in general education, prohibits state funds for DEI programs in state universities, introduces a 5-year post-tenure review, and assigns final hiring authority to the president of the university. This study utilized qualitative results from fill-in text questions (n = 238) in a survey with UCF instructors who had taught a course in the year before recruitment. This study investigated instructors’ understanding and experiences with the bill and administrative communications regarding …

How Sexual Health Knowledge Can Affect The Reproductive Behaviors Of Ethnic Minority Women, Bansari Modi

Honors Undergraduate Theses

Background: Health knowledge plays a large role in health outcomes, especially those of racial and ethnic minorities. There is a lack of literature discussing the relation between sexual health knowledge obtained during adolescence and the reproductive behaviors of minority women later in life.

Purpose: To examine the association between sexual health knowledge during adolescence and subsequent contraception use among racial and ethnic minority women in adulthood.

Methods: Data from Waves I, III, and IV of the National Longitudinal Study if Adolescent to Adult Health (Add Health) was used to explore the relation between adolescent health knowledge and subsequent contraception use …

Microplastics, Macro-Problems: Abundance Of Man-Made Materials In The Waters And Sediments Of Florida State Parks, Luciana M. Banquero, Kate Mclendon, Andres Alatorre, Mackenzie Daniels, Savanna Freeman, Cassidy Starke, Katherine Harris, Sidney J. Busch

The Pegasus Review: UCF Undergraduate Research Journal

Man-made materials (MMM) are pollutants introduced to the environment by human activity. Microplastics (MP) are a type of MMM that threaten living organisms through bioaccumulation. The term MMM also encompasses pollutants produced from natural materials, such as rayon and microfibrillated cellulose, which are used in food packaging. This study aims to determine the extent of MMM pollution within estuaries in two of Florida’s state parks, as well as the effectiveness of using restored vegetation on shorelines to reduce MMM pollution. Tomoka State Park and Gamble Rogers State Park were selected at the request of the Florida Department of Environmental Protection. …

Determining The Extent Of Pioneer Mangrove Acidification On Intertidal Oyster Reefs, Cindy Whitten, Andres Alatorre, Nicole Campbell, Savanna Freeman, Sydney Henderson, Kate Mclendon, Connor Wright, June Davison, Madison Ganci, Katherine Harris

The Pegasus Review: UCF Undergraduate Research Journal

The Indian River Lagoon (IRL) stretches 251 kilometers along Florida’s east coast and is one of the most biodiverse estuaries in North America. Mosquito Lagoon, the northernmost portion of the IRL, is home to mangroves and intertidal oyster reefs that provide numerous ecosystem services. These two habitats are overlapping as climate change drives mangroves poleward. Scientists have documented mangrove expansion and the transition of oyster reef habitat to mangrove islands. Past studies have shown large, adult mangrove stands drive soil acidification. The goal of this study was to understand if stand-alone, or pioneer, Rhizophora mangle (red mangroves) and Avicennia germinans …

Combatting Social Isolation In Greater Orlando, Rishi Nair, Nicholas Mistry

High Impact Practices Student Showcase Fall 2023

The state of Florida is home to one of the largest retiree and Veteran populations in the country. As people age, they are more prone to suffer from physical and mental conditions that preclude their ability to live a fulfilling life. This could result in social isolation and loneliness, which has been exacerbated by the COVID-19 pandemic. We partnered with Seniors First’s Project Connect program to improve social interactions among the elder community with virtual trivia events. These weekly games helped us identify areas of emotional need, such as improving self-esteem, introducing memories of seniors' lives when they were younger, …

Low-Dose Prednisone Or Methylprednisolone In Treating Patients With​ Newly Diagnosed Acute Gvhd​, Dillon C. Hill, Melanie Obsina, Juan Sanchez, Jordan Genco, Vihan Yalamanchili

High Impact Practices Student Showcase Fall 2023

Graft Versus Host Disease affects less than 20,000 cases per year and our project aims to give those who experience this terrible disease a better outcome and more manageable pain. The clinical trial that this data is collected from analyzes low-dose prednisone versus the standard dose and how that affects both morbidity and progression of the disease to Stage III-IV. This clinical trial has many clinical implications as it shows that reducing the dosage of commonly used treatment methods can sometimes have positive effects even though it is the standard to use a certain dose. This clinical trial found that …

Animal Welfare And Conservation: The Ecological Impact Of Outdoor Cats, Angela F. Dauber

High Impact Practices Student Showcase Fall 2023

In September 2023, I began volunteering at Pet Alliance Orlando. Pet Alliance is one of the largest animal welfare organizations in central Florida, and it consists of two shelters in Sanford and downtown Orlando. I performed 16 hours of service as a “Kitty Cuddler” volunteer this semester. Though I have lots of experience with cat rescue service, I learned a lot about how Pet Alliance works and how their adoption services intersect with their other services such as their pet food pantry, veterinary care, and trap-neuter-vaccinate return programs. In addition to my service, I researched the ecological effects of outdoor …

Examining The Role Of Cteg Using Drosophila, Jadaya V. Davis, Om Patel, Sebastian Velez

High Impact Practices Student Showcase Fall 2023

This project focused on creating viable drosophila models that could be used to evaluate and understand the significance of the N-tarp portion in the effector genes of Chlamydia Trachomatis. During our project we performed multiple DNA clean ups, PCR's, gel electrophoresis, double digestions, and DNA ligations. In this we learned not only the methodological importance within these laboratory techniques but that a great deal of learning occurs in being able to evaluate and analyze ways to troubleshoot when intended results from an experiment are not observed.

Ai, Cataloging & Metadata, Sai Deng

Faculty Scholarship and Creative Works

This presentation explores the impact of Artificial Intelligence (AI) on cataloging and metadata, presenting examples of AI-based cataloging. It provides a few examples of utilizing ChatGPT, Bard and Bing Chat Enterprise for tasks such as creating a MARC record, classifying a book and assigning thesaurus terms. The discussion covers AI’s potential in cataloging and metadata within the library field, along with its advantages and disadvantages. It also addresses how cataloging and metadata professionals should navigate the integration of AI in this new environment. The initial presentation took place at the University of Central Florida Libraries’ AI Interest Group meeting, and …

The 5-Ps Of Jumpstarting Open Assessment Creation With Generative Ai, Rebecca Mcnulty, Lily Dubach, James R. Paradiso

Faculty Scholarship and Creative Works

Generative Artificial Intelligence (AI trained on Large Language Models to generate text) has exploded into the digital learning space. As the need for Open Educational Resources (OER) also continues to grow, generative AI can jumpstart aspects of OER creation. This presentation will consider barriers to OER adoption, including the availability of supplemental teaching resources, and will propose a use case for leveraging AI text-generation to support best practices for creating unique assessment questions. Through the “5-Ps,” – Problem, Past, Present, Possibilities, and Product – we will consider the ways that adopters, adapters, and authors of OER can use generative AI …

Using Generative Ai To Remove Barriers In Support Of Open Content Creation, Lily Dubach, Rebecca Mcnulty, James R. Paradiso

Faculty Scholarship and Creative Works

Open content, such as textbook-length open educational resources (OER) or smaller pieces like an assignment, can offer numerous benefits to students by being free, diverse, and effective replacements for traditional textbooks, but there are limited open resources and difficulties creating new open content. This poster explores how generative AI can remove these barriers, enabling instructors to have time and support to create and use open content in their courses. By highlighting use cases, attendees will see how to do this approach in their own classroom, regardless of modality or discipline. Important considerations will be addressed, including usage, sharing, and ethics. …

Big 10, Richard C. Crepeau

On Sport and Society

Over the past several weeks the world of college sports has gone into overdrive in an attempt to milk the public for as much cash as is humanly possible. The money game this time around has centered on conferences seeking to expand their membership, which mathematically means shrinking the size of the membership of other conferences or, even better, wiping out the conference competition entirely.

Understanding Evacuation Traffic Safety Issues During Hurricane Evacuation Using Machine Learning And Connected Vehicle Data, Zaheen E Muktadi Syed

Electronic Theses and Dissertations, 2020-2023

Hurricane evacuation, ordered to save lives of people of coastal regions, generates high traffic demand with increased crash risk. To mitigate such risk, transportation agencies need to anticipate highway locations with high crash risks to deploy appropriate countermeasures. With ubiquitous sensors and communication technologies, it is now possible to retrieve micro-level vehicular data containing individual vehicle trajectory and speed information. Such high-resolution vehicle data, potentially available in real time, can be used to assess prevailing traffic safety conditions. Using vehicle speed and acceleration profiles, potential crash risks can be predicted in real time. Previous studies on real-time crash risk prediction …

The Bishop And The Poet: Theodulf Of Orléans And The Carolingian World, Cole Taylor

Electronic Theses and Dissertations, 2020-2023

This thesis centers on Theodulf of Orléans and the themes of love and food throughout his episcopal statutes and poetry. These two themes are connected to the larger Carolingian landscape, in which Theodulf interacts with society, culture, and religion. In covering these two themes, a more nuanced picture of Carolingian religion and society emerges, at least from the way Theodulf viewed the world around him. In considering these two themes, I further encourage the process of intertextual analysis as formulated by Rosamond McKitterick and M. A. Claussen. Furthermore, I argue that the general reforms of the Carolingian empire penetrated a …

An Examination Of The Role Of Industry 4.0 In Supply Chain Management: Critical Success Factors And A Roadmap, Alper Senol

Electronic Theses and Dissertations, 2020-2023

Global supply chain management aims to enhance efficiency and profitability for suppliers, manufacturers, logistics providers, and warehouses. It faces challenges due to the complexity involved. To stay competitive, organizations in the industry are leveraging Industry 4.0 technologies, but some struggle with implementation due to limited expertise. The primary challenge of Global Supply Chain Management now is to integrate Industry 4.0 tools and technologies to maintain high-quality standards and optimized processes. This study focused on identifying the key factors that directly affect the success of integrating Industry 4.0 into the supply chain. It examined both tangible and intangible business resources and …

Assessing The Overall Utility Of Rapid Digital Documentation Methods On The Juniper Springs Recreational Site In The Ocala National Forest, Alexander Nalewaik

Electronic Theses and Dissertations, 2020-2023

The use of rapid digital documentation technologies remains in its infancy, although it promises to change the course of future archaeological work. With rising sea levels, the natural deterioration of historic sites and structures, and the lack of proper funding for historic and cultural sites, more of these sites are at risk of destruction. With the implementation of rapid digital documentation methods, researchers can address risks associated with data loss. To date, only a handful of cultural resource management (CRM) firms use these technologies, citing the lack of use as too expensive or difficult to learn. Using rapid digital documentation …

Towards Efficient And Effective Representation Learning For Image And Video Understanding, Taojiannan Yang

Electronic Theses and Dissertations, 2020-2023

Deep learning has achieved tremendous success on various computer vision tasks. However, deep learning methods and models are usually computationally expensive, making it hard to train and deploy, especially on resource-constrained devices. In this dissertation, we explore how to improve the efficiency and effectiveness of deep learning methods from various perspectives. We first propose a new learning method to learn computationally adaptive representations. Traditional neural networks are static. However, our method trains adaptive neural networks that can adjust their computational cost during runtime, avoiding the need to train and deploy multiple networks for dynamic resource budgets. Next, we extend our …

A Unique Method Of Using Information Entropy To Evaluate The Reliability Of Deep Neural Network Predictions On Intracranial Electroencephalogram, Elakkat Dharmaraj Gireesh

Electronic Theses and Dissertations, 2020-2023

Deep Neural networks (DNN) are fundamentally information processing machines, which synthesize the complex patterns in input to arrive at solutions, with applications in various fields. One major question when working with the DNN is, which features in the input lead to a specific decision by DNN. One of the common methods of addressing this question involve generation of heatmaps. Another pertinent question is how effectively DNN has captured the entire information presented in the input, which can potentially be addressed with complexity measures of the inputs. In the case of patients with intractable epilepsy, appropriate clinical decision making depends on …

Optimal Sequencing And Scheduling Algorithm For Traffic Flows Based On Extracted Control Actions Near The Airport, Sharmistha Chakrabarti

Electronic Theses and Dissertations, 2020-2023

This dissertation seeks to design an optimization algorithm, based on naturalistic flight data, with emphasis on safety to perform a benefits' analysis when sequencing and scheduling aircraft at the runway. The viability of creating a decision-support tool to aid air traffic controllers in sequencing and optimizing airport operations is evaluated through the benefits' analysis. Air traffic control is a complex and critical system that ensures the safe and efficient movement of aircraft within the airspace. This is particularly true in the immediate vicinity of an airport. Unlike in en-route or terminal area airspace where aircraft usually traverse well established routes …

Distributed Optimization With Limited Communication In Networks With Adversaries, Iyanuoluwa Emiola

Electronic Theses and Dissertations, 2020-2023

We all hope for the best but sometimes, one must plan for ways of dealing with the worst-case scenarios, especially in a network with adversaries. This dissertation illustrates a detailed description of distributed optimization algorithms over a network of agents, in which some agents are adversarial. The model considered is such that adversarial agents act to subvert the objective of the network. The algorithms presented in this dissertation are solved via gradient-based distributed optimization algorithm and the effects of the adversarial agents on the convergence of the algorithm to the optimal solution are characterized. The analyses presented establish conditions under …

Improving Basic Cadet Training For Changing Environment: Case Study At The Korea Air Force Academy, Yoojin Kwon

Electronic Theses and Dissertations, 2020-2023

Increasing uncertainty, such as Covid-19 and weather changes, threatens BCT (Basic Cadet Training) at ROKAFA (Republic of Korea Air Force Academy). In preparation for the changing and adverse environment, this study carried out the following steps to propose a system improvement utilizing LVC (Live, Virtual, Constructive) in BCT system at ROKAFA; 1) Researching the examples of BCT and LVC by advanced countries, 2) Analyzing BCT (ROKAFA) through systems approach (document analysis, survey of 140 cadets and officers, written interviews with military experts), 3) Applying LVC to BCT. BCT is a vital step in the transition from civilian to military status …

Detecting Team Conflict From Multiparty Dialogue, Ayesha Enayet

Electronic Theses and Dissertations, 2020-2023

The emergence of online collaboration platforms has dramatically changed the dynamics of human teamwork, creating a veritable army of virtual teams composed of workers in different physical locations. The global world requires a tremendous amount of collaborative problem solving, primarily virtual, making it an excellent domain for computer scientists and team cognition researchers who seek to understand the dynamics involved in collaborative tasks to provide a solution that can support effective collaboration. Mining and analyzing data from collaborative dialogues can yield insights into virtual teams' thought processes and help develop virtual agents to support collaboration. Good communication is indubitably the …

Annotation Efficient Visual Recognition: From Semi-Supervised To Few-Shot Learning, Mamshad Nayeem Rizve

Electronic Theses and Dissertations, 2020-2023

In recent years, supervised deep learning has achieved remarkable success in solving a wide range of visual recognition problems. Large-scale labeled datasets have been crucial for this success and the progress has primarily been limited to controlled environments. In this dissertation, we present methods to improve the annotation efficiency of deep visual recognition models and also propose methods to improve the performance of annotation-efficient models in unconstrained open-world settings. To address the annotation bottleneck in supervised learning, we introduce a pseudo-labeling framework for semi-supervised learning. While consistency regularization methods dominate the field, they heavily rely on domain-specific data augmentations, limiting …

Deep Video Understanding With Model Efficiency And Sparse Active Labeling, Aayush Jung Bahadur Rana

Electronic Theses and Dissertations, 2020-2023

Videos capture the inherently sequential nature of the real world, making automatic video understanding an essential need for automatic understanding of the real world. Due to major advancements in camera, communication, and storage hardware, videos have become a widely used data format for crucial applications such as home automation, security, analysis, robotics, and autonomous driving. Existing methods for video understanding require heavy computation and large training data for good performance, this limits how quick the videos can be processed and how much data can be labeled for training. Real-world video understanding requires analyzing dense scenes and sequential information, which increases …

A High-Pressure Shock Tube Study Of Hydrogen And Ammonia Addition To Natural Gas For Reduced Carbon Emissions In Power Generation Gas Turbines, Michael Pierro

Electronic Theses and Dissertations, 2020-2023

Ignition delay times from undiluted mixtures of natural gas (NG)/H2/Air and NG/NH3/Air were measured using a high-pressure shock tube at the University of Central Florida. The combustion temperatures were experimentally tested between 1000-1500 K near a constant pressure of 25 bar. Mixtures were kept undiluted to replicate the same chemistry pathways seen in gas turbine combustion chambers. Recorded combustion pressures exceeded 200 bar due to the large energy release, hence why these were performed at the high-pressure shock tube facility. The data is compared to the predictions of the NUIGMech 1.1 mechanism for chemical kinetic model validation and refinement. An …

Flow Induced Vibration In Corrugated Metal Flexhoses, Patrick Tran

Electronic Theses and Dissertations, 2020-2023

This study on flow-induced vibration provides valuable insights into the fundamental dynamics of fluid-structure interactions. The findings contribute to the development of predictive models and design guidelines for engineering systems susceptible to flow-induced vibration. By improving our understanding of this phenomenon, engineers can enhance the safety and reliability of various structures subjected to fluid flow, such as pipelines, flexhoses, and bellows. Flowinduced vibration is a phenomenon that occurs when fluid flow interacts with a structure, leading to oscillations and potentially causing mechanical damage. Understanding the underlying mechanisms and predicting the vibration characteristics is crucial for the design and safe operation …

Florida's Vanishing Heritage: Climate Risk And Adaptation At Florida Heritage Sites, Levi Watson

Electronic Theses and Dissertations, 2020-2023

This thesis examines history and preservation at coastal cultural heritage sites threatened by climate change and explores climate adaptation strategies at two sites on Florida's Atlantic coast. Current climate change models indicate the planet may see as much as 1.1 meters, or four feet, of global average sea level rise by the year 2100, requiring site managers to intervene by using adaptation techniques to improve resilience and guard against the loss of cultural heritage monuments. Understanding the history and importance of these sites to the surrounding communities and their numerous stakeholders is the first step to ensuring these sites remain …

Understanding The Mechanisms By Which Cable Sway Produces Motion Artifact In Mobile Electroencephalography, David Rojas

Electronic Theses and Dissertations, 2020-2023

Mobile brain/body imaging utilizes electroencephalography (EEG) to record brain activity during human walking in dynamic environments. Motion artifact from cable sway affects the quality of EEG signals collected from the scalp, masking contributions of synchronously firing neurons. Previous studies have explored cable sway-induced motion artifact, but only during vigorous exercise or controlled sinusoidal motion. Therefore, a need remains to further understand the underlying mechanisms of this artifact, as it may help with developing real-time mitigation methods, reducing reliance on offline signal processing. In this thesis, I aimed to show that controlled cable sway could produce specific motion artifact waveforms in …