Digital Commons Network^™

Equilibria And Effective Transition Rates In Linear Networks, Sayani Ghosh

All Dissertations

Investigating equilibration in nucleosynthetic processes is crucial for understanding stellar chemical abundances in nuclear astrophysical scenarios. While current computational models are effective at predicting final species abundances at the end of these stellar processes, they fail to provide insights into the evolution of equilibrium. Without this deeper understanding, it is challenging to determine the impact of individual reaction rates on timescales and the resultant equilibrium.

In this work, we model nucleosynthetic processes as directed graphs. We develop theorems that allow us to express the mass fractions of species as spanning arborescences of these graphs. By obtaining eigenvalues in terms of …

Identification And Validation Of A Measurement Of Emergency Physician Workload During End Of Shift Patient Handoffs, Steven Foster

All Dissertations

Recent increases in emergency physician (EP) workload have been identified as contributors to increased EP burnout, increased staff attrition, decreased patient safety, and increased patient admission rates. Patient handoffs have been extensively researched as critical points in patient care, with existing research primarily focusing on communication errors and interventions designed to standardize handoff communication protocols.

While end of shift handoffs in hospital emergency departments (EDs) intuitively represent a transfer of patient caseload from an outgoing EP to an incoming EP, there is a fundamental lack of literature examining how such handoffs contribute to EP workload, and a similar lack of …

Studying The Chemistry-Property Relationship In Magnetic And Optical Materials: Spin S = 3/2 Systems Of Neodymium, Manganese, And Cobalt Oxyanions, Xudong Huai

All Dissertations

This dissertation describes the design and tunability of new magnetic and optical materials, emphasizing the intricate relationship between their crystal structures and their optical, electronic, and magnetic properties.

Two new frustrated magnets, ANd(SO₄)₂ (A = Rb, Cs), were designed and synthesized to examine the influence of the the counter cation A site in Nd lanthanide materials featuring a distorted triangular magnetic lattice with S = 3/2. This work demonstrates how the tunability of magnetic and photoluminescent properties can be achieved through the A sites, with findings validated through density functional theory calculations.

AMnTeO₆ (A = Ca, …

Remote Onboarding Of Software Developers: Leveraging Virtual Reality And Ai Tools, James Dominic

All Dissertations

Software development teams add newcomers to accommodate the increasing demand, complexity of software solutions, and turnover. Onboarding newcomers is expensive and error-prone. It can take up to three years for a newcomer to become an expert on a project. Onboarding techniques described in the current literature focus on collocated teams. As more teams are adopting remote and distributed team structures, I address this research gap in understanding remote onboarding for software developers. I present my research on the use of Virtual Reality (VR) for remote software developer onboarding. I discuss a VR remote pair programming environment. With positive outcomes, pair …

On The Structure, Energy, And Segregation Behavior Of Grain Boundaries In Metallic Systems, Yasir Mahmood

All Dissertations

Nearly all structural metallic systems are multi-component polycrystalline aggregates; their microstructures are composed of crystalline grains that are internally joined at grain boundaries (GBs). This thesis focuses on GB structure, energy, and chemistry, as these greatly influence many material properties and processes, including boundary dynamics during processing treatments or under operating conditions.

Using atomistic simulations, we examine the impact of metastable GB structures on solute segregation. A wide range of GB geometries and metastable structures are used in our study. The Al-Mg alloy is used because it is of interest for light weighting. The atomistic simulation results are used to …

Exploring Equity In Introductory Biology Genetics Education, Sandy G. Phillips-Long

All Dissertations

The dissertation “Exploring Equity in Introductory Biology Genetics Education” delved into the critical examination of equity within undergraduate genetics education. Chapter One outlined the background, significance, research framework, and manuscripts included in this study. Chapter Two was a scoping review that provided an overview of the current pedagogical approaches in undergraduate genetics education. It identified six active learning pedagogies: Course-based Undergraduate Research Experience (CURE); group work; case-based learning; inquiry-based learning; Virtual Reality (VR); and Consider, Read, Elucidate the hypothesis, Analyze and interpret the data, and Think of the next Experiment (CREATE). Chapter Three was a systematic literature review investigating pedagogical …

Improving Academic Attitudes And Motivation Using Literacy Learning In A Rural Literacy Intervention Classroom, Dannie Wilson

All Dissertations

This qualitative study focuses on the importance of reading picture books aloud to improve students' social skills capacity by utilizing literacy and social skills in a rural setting. It is designed to address a problem of practice: the need for striving third, fourth, and fifth-grade students to gain and maintain motivation and positive attitudes toward learning. An overarching research question guided this study: “How does teaching interpersonal skills affect literacy learning attitudes and motivation in a rural fringe school?” The goal was to investigate strategies through improvement science. A short Plan-Do-Study-Act cycle was used as the structure for the research …

Some Experiments In Additive Number Theory, Yunan Wang

All Dissertations

This dissertation explores fundamental conjectures in number theory, focusing on the distribution patterns of representation functions in prime pairs. The work concentrates on twin primes, cousin primes, and primes separated by six units, offering a fresh heuristic interpretation of the Hardy-Littlewood correction factor. The analysis progresses to investigate the partition function for prime pairs in the form $(p, p+k)$, specifically for $k = 2, 4, 6$. The study culminates in the derivation of a general formula for prime pairs $(p, p+d)$, where $d$ is an even integer. Drawing on the insights gleaned from examining the correction factor, this dissertation proposes …

We Train Ai, Why Not Humans, Too? An Exploration Of Human-Ai Team Training For Future Workplace Viability, Caitlin M. Lancaster

All Dissertations

The integration of Artificial Intelligence (AI) in the workforce is transforming team dynamics, leading to the emergence of Human-AI Teams (HATs). These teams offer opportunities to capitalize on human strengths with AI's prowess, offering significant opportunities for innovation and efficiency. Effective HAT functioning requires aligning human expectations with AI capabilities and bridging knowledge gaps between teammates. Despite this potential, key integration challenges remain, such as developing shared mental models, addressing skill limitations, and overcoming negative AI perceptions. Existing training efforts often apply human-human teaming principles directly to HATs, overlooking AI's role as a teammate and limiting the development of HAT-specific …

Optimization Strategies For Political Redistricting, Blake Splitter

All Dissertations

Political redistricting has remained a hot-button issue in the United States for several decades. Every ten years, most states need to redraw their districts to account for changing populations. Sometimes, these district plans can be drawn with the malevolent intention of aiding one political party over another. This dissertation summarizes four distinct methods of drawing these districts using computer algorithms while keeping several objectives in mind. We test these approaches on the case study state of South Carolina, since it provides a sufficiently challenging problem for us to test various algorithms. We find that many of these approaches improve upon …

Capillary Phenomena In Flow Down Fibers: Beads, Bridges, Sheets, And Threads, Chase Tyler Gabbard

All Dissertations

Capillary phenomena are ubiquitous in everyday life with surface tension responsible for shaping liquids and deforming slender structures on length scales smaller than the capillary length, as seen in the formation of drops from a leaky faucet and in the coalescence of wet hair, respectively. Recently, thin film flow down fibers have received significant attention for their ability to produce bead-on-fiber patterns with associated high surface area-to-volume ratios that optimize retention times in heat and mass transfer applications. The presence of a base flow gives rise to complex dynamics including absolute and convective instabilities. The parallelization of these processes through …

Convex Approach To Data-Driven Optimal Control With Safety Constraints Using Linear Transfer Operator, Joseph Raphel Moyalan

All Dissertations

This thesis is concerned with the data-driven solution to the optimal control problem with safety constraints for a class of control-affine nonlinear systems. Designing optimal control satisfying safety constraints is a problem of interest in various applications, including robotics, power systems, transportation networks, and manufacturing. This problem is known to be non-convex. One of this thesis's main contributions is providing a convex formulation to this non-convex problem. The second main contribution is providing a data-driven framework for solving the control problem with safety constraints. The linear operator theoretic framework involving Perron-Frobenius and Koopman operators provides the convex formulation and associated …

Efficient First-Order Methods For Some Smooth Nonlinear Optimization Problems, Yunheng Jiang

All Dissertations

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Virtually Coached Nature-Based Activities For Perceived Stress In Rural-Dwelling Families With A Teenager With Autism Spectrum Disorder, Deborah R. Logan

All Dissertations

Families with teenagers with autism spectrum disorder (ASD) can experience more stress than families without teenagers with ASD due to individuals with ASD often exhibiting social behaviors that differ from social norms, and parents having to adjust their expectations and future goals for their child with ASD. Rural-dwelling families of teenagers with ASD may experience additional stress due to their having to travel to access therapeutic services. Research focused on family-based services aimed at decreasing stress among rural-dwelling families of teenagers with ASD is lacking. The purpose of this convergent mixed methods study was to explore the feasibility of an …

Physics-Informed Machine Learning Methods For Inverse Design Of Multi-Phase Materials With Targeted Mechanical Properties, Yunpeng Wu

All Dissertations

Advances in machine learning algorithms and applications have significantly enhanced engineering inverse design capabilities. This work focuses on the machine learning-based inverse design of material microstructures with targeted linear and nonlinear mechanical properties. It involves developing and applying predictive and generative physics-informed neural networks for both 2D and 3D multiphase materials.

The first investigation aims to develop a machine learning method for the inverse design of 2D multiphase materials, particularly porous materials. We first develop machine learning methods to understand the implicit relationship between a material's microstructure and its mechanical behavior. Specifically, we use ResNet-based models to predict the elastic …

Data-Driven Enhanced Energy Management System Applications For Energy Control Centers, Dulip Madurasinghe

All Dissertations

This dissertation explores the pressing needs of modern bulk power system operation and control and delves into enhancements to EMS applications with minimal infrastructure development. The dissertation investigates three main EMS application enhancements. The transmission network topology processing (TNTP) is a foundational application of the EMS. A physics-based hierarchical transmission network topology processing (H-TNTP), including substation configuration identification, to improve efficiency and reliability is proposed. Secondly, a multi-level distributed linear state estimation (D-LSE) approach solely based on PMUs is proposed utilizing H-TNTP as the network modeling tool. The D-LSE can conduct linear state estimation (LSE) at either substation, area or …

Integrating Artificial Intelligence And Augmented Reality For Enhanced Task Performance In The Construction Industry, Aasish Chandrika Bhanu

All Dissertations

The Architecture, Engineering, and Construction (AEC) sector, characterized by its complex tasks, often faces challenges in adopting cutting-edge technologies, a trend that can significantly hinder productivity improvements compared to other industries. This dissertation explores the emerging integration of Artificial Intelligence (AI) and Augmented Reality (AR) within the AEC domain, investigating how effectively this can be implemented to potentially revolutionize industry practices. AI could be used in the AEC domain for advanced analytical and decision-making processes, while AR could be used for training, visualization, and remote collaboration.

In scenarios where construction site workers require expert guidance, these technologies could be helpful. …

Opioid Overdose Epidemic Modeling, Chelsea Spence

All Dissertations

The opioid overdose crisis in the United States has led to thousands of lost lives and thousands more people struggling with opioid dependence. Disease modeling allows researchers to examine the course that the disease may take and to investigate policies to determine the effects they may have. Disease models can be used to model non-communicable diseases and have been used to study opioid use disorder. Many types of disease models exist with their own inherent benefits and drawbacks.

In this dissertation, we provide a scoping review of the disease models that have been used to study the opioid overdose epidemic. …

Activity - Voting Rights And Gerrymandering For College Students/Youth Voters, Russ Wood

Civic Engagement & Voting Rights Teacher Scholars

No abstract provided.

Community Development Through Summer Camps, Edgar Iglesias Vidal, Narcís Turon Pèlach, Pere Soler Masó, Lara Morcillo Sanchez

Journal of Youth Development

Summer camps are widespread in many countries and have a long history. Their contribution to children’s and young people’s leisure and recreation is widely acknowledged, as is their usefulness as an educational resource. That large numbers of children and young people across Europe attend summer camps is well-known; according to Eurofound (2020), most of the twenty-seven countries analyzed record student attendance at camps, and in twelve countries (including Spain) over 50% of young people take part. However, another study carried out in the member countries of the European Union (Plantenga & Remery, 2017) stated that when the availability, use, and …

Clemson Commencement Program, May 2024, Clemson University

Clemson Commencement Programs

No abstract provided.

Examining Higher Education Through Hyflex, Emily Howell, Sandra Linder, Joseph Ryan, William C. Bridges

Publications

This design-based research (DBR) study investigated the following research question: How can the HyFlex instructional model be leveraged to create more accessible and equitable education for graduate students? To address this question, the researchers explored two education doctoral courses in the USA, with 37 participants for one semester. The essential elements of the intervention included the following: digital, multimodal tools; equity of online and face-to-face learning environments; and engagement in community. A mixed methods approach to data collection and analysis was utilised in accordance with the DBR framework, including inhibiting and enhancing factors of the intervention, modifications made, unanticipated outcomes, …

Release Of Small Molecules From Rubber: Effects Of Materials Properties, Mechanical Loading And Molecular Interactions, Yongcan Du

All Dissertations

Release of small molecules from polymeric materials has wide applications in the delivery systems of active molecules such as drug, fragrance, and semiochemical. Rubber materials are good candidates for the excipients of those systems due to properties such as good flexibility, permeability, and biocompatibility. Factors like material properties, mechanical loading, and molecular interactions may affect the release of small molecules in those systems. Therefore, understanding how those factors affect the release is key to the formulation, design, and evaluation of those systems.

To study the effects of materials properties, vulcanized natural rubber sheets with different crosslink densities, loaded with small …

Evaluating The Epidemiological, Hormonal, And Psychosocial Sex-Based Differences In Sports-Related Concussion Outcomes, Samantha Kanny

All Dissertations

Sports-related concussions (SRCs) affect approximately 3.8 million athletes in the United States per year. A multitude of risk factors including age, sex, concussion history and prior medical conditions have been observed to significantly increase sports-related concussion symptom burden. Researchers have posited many reasons to explain sex-based differences in SRC outcomes, often categorized by biological characteristics or sociocultural factors, however, females are vastly underrepresented in sports-related concussion research, making it difficult to understand the true mechanisms underlying SRC sex-based differences. The goal of this dissertation is to help fill the current gap in knowledge on sex-based differences in sports-related concussion outcomes. …

The Development Of A Convenient And Consistent Methodology For Flight Proficiency To Certify Multi-Rotor Uas Pilots For State Departments Of Transportation, Colin Dees

All Dissertations

To fly an unmanned aircraft system (UAS), commonly referred to as a “drone,” the Federal Aviation Administration (FAA) requires pilots to pass a knowledge test. There is no requirement at the state or federal level for drone operators to demonstrate the ability to operate a UAS. The National Institute of Science and Technology (NIST) has created an exam for public and private entities to assess basic UAS flight proficiency. It is the only nationally recognized flight proficiency protocol. NIST does not provide a scoring recommendation and leaves it to the user to determine the minimum criteria to pass. There is …

Examining Formative Leadership Experiences Of District Science Coordinators Using Collective Case Study, Khushbu Singh

All Dissertations

Leadership in educational institutions can significantly impact the quality of education and student outcomes (Ferrell & Garner, 2023; Leithwood et al., 2008). District Science Coordinators (DSCs) play a pivotal role as district-level leaders responsible for enhancing science education (Whitworth et al., 2017). Despite increased attention from researchers and policymakers, a knowledge gap persists regarding DSCs' formative experiences in their leadership roles and their impact on teachers and students (Whitworth & Chiu, 2015). This dissertation focused on two research questions: first, the challenges and/or supports that DSCs encountered during their formative years, and second, the knowledge, practices, and attributes they considered …

Using Ion Mobility Mass Spectrometry In Conjuction With Derivatization Methods To Enhance The Separation Of Different Steroid Isomers, Shadrack Lucas

All Theses

One of the major problems facing analytical chemistry challenge is the isomers separation, due to their closely related molecular structures and physicochemical properties. Therefore, in this thesis, we have performed the separation of steroid isomers through the use of ion mobility mass spectrometry, using various chemical approaches. Ion mobility is an effective high-resolution separation techniques that utilizes the mobility of ions in the gas-phase environment. A useful tool for isomeric analysis due to the ability to separate different isomeric classes of steroids according to their varied collision cross-sections, which is achieved by taking advantage of differences in ion mobility.

Moreover, …

Redesign Of X-Ray Irradiator To Expand Research Of Low-Dose X-Ray Radiation, Lauren Ulbrich

All Theses

The effects of high-dose radiation are well-documented, and are understood to be harmful to the human body. On the other hand, the effects of low-dose radiation are much less understood. There is debate over whether or not there are negative, positive, or no effects at all from low-dose radiation. One of the reasons why these effects are not well known is because there aren't as many studies done on this type of radiation. It is a lot harder to classify the effects of radiation at low doses due to many external factors. However, the Clemson Medical Physics lab has been …

Illusions Of Freedom? A History Of Attitudes Toward Death, Dominick Bucca

All Theses

My thesis explores the historical question: “Is there any freedom from death?” through three figures within the Western metaphysical tradition: Thucydides (460-400 BCE), Augustine (354-430 CE), and Miguel de Cervantes Saavedra (1547-1616). In so doing, my thesis suggests the following: for Thucydides, freedom from death arose through the immortality of empire; for Augustine, through the immortality of God’s grace; and for Cervantes, through the immortality of narratives/attitudes of immortality. Moreover, I nest my claim within an exploratory narrative. Which is to say that, lifting a page from Martin Heidegger (1889-1976), I have attempted to break away from the near total …

Elasticity Of Orders In Quadratic Rings Of Integers, Jared Kettinger

All Theses

This project explores elasticity in quadratic rings of integers, specifically, those of the form Z[pω] where p is a rational prime which remains prime in Z[w]. For these rings, we establish an upper bound on the elasticity which is attained in many cases. We also prove that this upper bound is an equality in the case when the ring of integers is a unique factorization domain. During this process, we also prove theorems about the class group of quadratic rings of integers and develop a useful method for calculating a constant similar to the Davenport constant.