Digital Commons Network^™

Coco Gauff, Richard C. Crepeau

On Sport and Society

It seems to me that the U.S. Open Tennis Tournament, played at the end of the summer each year, has consistently produced some of the greatest sports highlights of the year. I have been particularly conscious of this since I started writing these essays over thirty years ago. Almost every September, I have been inspired by something at the Open that prompted me to produce one of these essays. Looking at my records, I see that the second essay on Sport and Society that I ever wrote was in September of 1991. It had as its subject the contrast between …

Diamond's Hidden Gems - Databases, Diamond Williams, Ucf Libraries

Libraries' Documents

Research is an important aspect of any college career; it is a process in which you are exposed to the questions and information that have captured the attention of your field of interest. For students, this often means searching for and identifying free, online, and relevant research articles.

UCF helps to mitigate most of this stress by providing students with databases that help narrow down the field of search.

The University of Central Florida Libraries allows students to search databases owned by a number of different vendors for items like scholarly peer-reviewed articles, book reviews, and magazine articles. Each of …

Leveraging Accessible Tourism Development Through Mega-Events, And The Disability-Attitude Gap, Michael Duignan, Ian Brittain, Marcus Hansen, Alan Fyall, Simon Gerard, Stephen Page

Faculty Scholarship and Creative Works

Able-bodied, and increasingly people with disabilities, represent a key audience for mega-events; occasions that act as crucibles where social problems endemic to host destinations can be exposed and tackled through targeted social policy. Drawing on the social model of disability, the paper examines how Japan utilised Tokyo 2020 as a field configuring event to disrupt systems of ableist thinking and tackle physical and attitudinal barriers restricting Persons with Disabilities (PwD) to accessible tourism. Qualitative evidence reveals national commitments to relegitimise, improve accessibility for - and acceptance toward - PwD in Japanese society, through transformations to the built environment, national awareness, …

The Scoop, Vol. 10 Issue 6, September 2023, Health Sciences Library

Volume 10

Latest news and updates from the Health Sciences Library in our monthly newsletter for September 2023.

Whats On The Menu, Exhibit Brochure, Judy Kuhns

Rosen Library Exhibits

On display: August - December 2023
Featured items: Menus and books from the Rosen Library Collection. Primary Curator: Judy Kuhns

See more items from this exhibit

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.

Meeting Minutes 08-16-2023, Staff Advisory Council

Staff Advisory Council Meeting Documents

No abstract provided.

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 …

Integrated Healthcare In The U.S. Safety-Net System: Meeting The Needs Of Patients Through Comprehensive Medical And Social Care, Jacqueline Devaney

Electronic Theses and Dissertations, 2020-2023

This thesis examines how a Patient-Centered Medical Home addresses, implements, and provides medical and social resources and services within the Florida U.S. safety-net system, and how patients and providers perceive health care interactions between each other. The safety-net clinics seek to fill the care gap for millions of uninsured low-income U.S. residents who cannot afford private insurance, are unemployed, self-employed, undocumented, or their low income exceeds the qualification threshold, and they face barriers in accessing expensive medical care in the U.S. I have conducted ethnographic research at Grace Medical Home, a safety-net clinic in Central Florida, which included five months …

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 …

Peacekeeping For Peace: Effectiveness And Impacts, Santosh Sapkota

Electronic Theses and Dissertations, 2020-2023

This dissertation examines three aspects of peacekeeping research within the overall framework of peacekeeping effectiveness and its impacts on troop-contributing countries (TCC). This dissertation comprises three different papers that employ three different methodological approaches. The first paper investigates why the military failed to achieve its primary mandate of the protection of civilians (POC) in the wake of continued killings of civilians despite the presence of peacekeepers. The general expectation from the military is to contain or eliminate violent incidents and civilian deaths in areas of responsibility (AOR). Utilizing a case study of Beni, DRC —a highly violent and militarized area …

"Do You Want To Build With Snowman?": Positioning Twine Story Formats Through Critical Code Study, Daniel Cox

Electronic Theses and Dissertations, 2020-2023

Using critical code studies, this dissertation examines the Twine story format Snowman. Despite existing books on the authoring tool Twine, a central part of its functionality, what it names "story formats," is rarely covered. This study steps into this gap and, based on my own experiences through working on story formats and documenting examples using Twine, explores the greater social context of the story format Snowman through examining its source code. This dissertation consists of three chapters, each using a different set of research methods. First, the metaphor of a stack is used to better understand how software like Snowman …

Transportation Electrification In Interdependent Power And Transportation Systems - Analysis, Planning, And Operation, Sina Baghali

Electronic Theses and Dissertations, 2020-2023

Electric vehicles (EVs) are one of the eminent alternatives to decarbonize the transportation sector. However, large-scale EV adoption brings new challenges and opportunities to both transportation and power systems (TPSs). The challenges include the lack of understanding of EV driving behaviors and the associated charging demand (CD) distribution, the complex interaction of the decentralized decision-makers from TPSs, and the insufficient infrastructure from TPSs to accommodate the growing CD of EVs. On the other hand, the opportunities include benefiting the power systems by leveraging vehicle-to-grid (V2G) technologies and improving transportation mobility by incorporating strategic infrastructure planning. The goal of this dissertation …

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 …

"It Is In Our Dna": Athlete Activism And Social Media Discourse During The 2020 Wnba Season, Kendra Gilbertson

Electronic Theses and Dissertations, 2020-2023

This dissertation analyzes the athlete activism in the WNBA, the use of social media for activism, and the social media discourse during the 2020 basketball season. I applied Critical Discourse Analysis to a defined set of texts including social media posts from Instagram and Twitter, user comments on social media, news articles from sports and non-sports publications, and a documentary, all related to the activism of the WNBA athletes. I chose the 2020 season because it is an exceptional case study of athlete activism and the use of social media for activism because the season was played in a single …

Due Tomorrow, Do Tomorrow: Measuring And Reducing Procrastination Behavior Among Introductory Physics Students In An Online Environment, Zachary Felker

Electronic Theses and Dissertations, 2020-2023

This work is focused on the measurement and prevention of procrastination behavior among college level introductory physics students completing online assignments in the form of mastery-based online learning modules. The research is conducted in two studies. The first study evaluates the effectiveness of offering students the opportunity to earn a small amount of extra credit for completing portions of their homework early. Unsupervised machine learning is used to identify an optimum cutoff duration which differentiates taking a short break during a continuous study session from a long break between two different study sessions. Using this cutoff, the study shows that …

Trajectory Design Optimization Using Coupled Radial Basis Functions (Crbfs), Kyler Roy

Electronic Theses and Dissertations, 2020-2023

Optimal trajectory design has been extensively studied across multiple disciplines adopting different techniques for implementation and execution. It has been utilized in past space trajectory missions to either optimize the amount of fuel spent or minimize the time of flight to meet mission requirements. Coupled Radial Basis Functions (CRBFs) are a new way to solve these optimal control problems, and this thesis applies CRBFs to spacecraft trajectory optimization design problems. CRBFs are real-valued radial basis functions (RBFs) that utilize a conical spline while also not being affected by the value of the shape parameter. The CRBF approach is applied to …

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 …

Optimizing Information Values In Smart Mobility, Fatima Afifah

Electronic Theses and Dissertations, 2020-2023

Smart mobility, enabled by advanced sensing, communication, vehicle, and emerging mobility technologies, has transformed transportation systems. Real-time information shared by public and private entities plays a pivotal role in smart mobility, which facilitates informed decision-making, including effective mode choice, dynamic vehicle control, optimized travel routing, and strategic vehicle relocation. While more information is believed to benefit individual decision makers, it is crucial to acknowledge that the effects of information on transportation network performance are contingent; more information may not always benefit the safety and mobility of the whole system. The goal of this dissertation is to investigate the effects of …

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 …

The Performance Of A Liquid-Fueled High Pressure Igniter For Scramjets, Gerardo Rodriguez

Electronic Theses and Dissertations, 2020-2023

Ignition systems within scramjet combust ors remain a trending topic of research because of the essential role they play in the engine's operation. An alternative to currently researched ignition systems is investigated in this study with the main goal of u tilizing the same liquid fuel as the mai n combustion chamber for the ignition system itself. In this case, JetA fuel was injected in a liquid jet in crossflow configuration with air to atomize the fuel. To characterize this ignition system, metrics such as combustion chamber pressure rise, pulse frequency, and jet penetration were used to validate possible utilization …

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 …