Digital Commons Network^™

Selective Hydroxyl Functionalization Using Novel Bifunctional Macrocyclic Catalysts And Sufex-Based Methodologies, Austin Seilkop

All Dissertations

The research behind this dissertation explores innovative strategies for the functionalization of alcohols. Alcohols are abundant in biologically relevant molecules and pharmaceutical drugs, so designing new methods for modifying them has gained significant interest over the years. The first and second chapters of this dissertation focus on the selective functionalization of a particular class of alcohols, amino alcohols, a well-represented functional handle in biomolecules. The hydroxyl functionalization of amino alcohols often demands multiple synthetic steps. We developed a new class of macrocyclic catalysts to enable precise and efficient transformations of amino alcohols, advancing the scope and efficiency of amino alcohol …

Protocol Transformations Across Osi Network Stack Layers For Attack, Evasion, And Defense, Nathan Tusing

All Dissertations

Network endpoints frequently contend with errors and deviations within protocols. Many factors account for these deviations including noise, tampering, and algorithm implementations. Intermediate nodes are expected to modify instantiated protocols and not guarantee correctness. This ability to modify traffic enables all sides of network security to alter security and performance properties of protocols, and we define this intermediary modification of an instantiated protocol as a transformation. Protocol transformations traverse layers of the OSI reference model and changes a protocol's time series byte sequence. Within this thesis, we show that this framework applies to multiple domains and protocols. Common examples of …

Leveraging High-Frequency Water Quality Data And Machine Learning For Monitoring Harmful Algal Blooms, Ibrahim Busari

All Dissertations

Freshwater management is one of the most critical resources on the earth due to the plethora of water use and its limited availability. Increased algae proliferation is one of the significant problems of freshwater bodies that is triggered by nutrient enrichment and enabling conditions such as light and warm temperatures. This algal proliferation is toxic to the ecosystem through their biomass and potential toxin production that can cause hypoxic conditions and is often referred to as Harmful Algal Blooms (HABs). Current monitoring approaches include laboratory analysis of water samples to observe algal cells, monitoring of water quality parameters using water …

Academic Vocabulary Acquisition In A 3rd Grade Science Classroom: A Mixed-Methods Embedded Study, Nicole Langenhuizen

All Dissertations

With the acceptance of the Next Generation Science Standards, elementary-aged students are encouraged to develop the skills needed to communicate their thinking in science efficiently and effectively (NGSS, 2013). Since implementing these new standards in 2013, South Carolina has seen a decline in science standardized testing scores for grades 3-5. These results show that science and engineering skills support 67% of U.S. jobs today (National Science Foundation, 2021), and the current trend is that science and engineering skills are essential to students today and provide a rationale for exploring how teachers can help students develop the vocabulary necessary to communicate …

Supporting Holistic, Informed, Decision-Making Through The Complementarity Of Life Cycle Assessment And Radiological Protection, Bryanna Wattier-Weisensee

All Dissertations

Decision making is challenging and it is necessary to consider all relevant data to make an informed decision. The work herein provides a pathway wherein the fields of radiological protection and life cycle assessment (LCA) can be utilized synergistically to benefit the decision-making using the other (and vice versa). Specifically, LCA parallels decision-aiding techniques used in the optimization of radiological protection and LCA includes an ionizing radiation potential (IRP) impact category wherein the impacts associated with an emission of radioactive material is quantified to determine the human health impact. Thus this body of work focuses on (1) expanding the platform …

An Efficient Computational Frameworks For Design And Analysis Of Metamaterials, Raj Pradip Khawale

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Advancement in additive manufacturing helps in building artificial lattice structures with unique properties that are not available in naturally occurring materials or in continuum structures. Specifically, beam-based lattices are well known for producing lightweight structures with very high strength, auxetic behavior, and energy absorption capabilities. In recent years, numerous research studies have been conducted on generating algorithms and frameworks to obtain unusual properties based on the variation in the cell geometry and material properties. However, the exploration of the full design space is hampered in practice primarily due to restrictions on cell tiling variation. Additionally, the lattices are very intricate, …

Short-Circuit Modeling And Instantaneous Overvoltage Protection Of Renewable Farms, Shah Mohazzem Hossain

All Dissertations

The existing utility grid is experiencing a paradigm shift in electricity generation due to a significant penetration of renewable energy sources. This shift is primarily driven by the large-scale integration of solar and wind energy farms, particularly in the transmission network, where these farms are typically accompanied by battery energy storage in a hybrid configuration to overcome source intermittency and improve reliability. Such renewable farms comprise numerous inverters, pad-mounted transformers, collector feeders, and dc-side components depending on the generation-source type. Additionally, inverters within these farms exhibit distinct operating modes, such as `grid-following'(GFL) and `grid-forming'(GFM), as well as fault control modes, …

Hydrothermal Synthesis, Characterisation, And Magnetic Study Of First-Row Transition Metal Molybdates And First-Row Transition Metal Vanadates, Mahsa Foroughian Foroughian

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Growing high-quality single crystals of transitional metal oxides have been of interest over the last two centuries because of the many applications of these transparent materials in various industries, such as optics, magnetism, semiconductors, and batteries. During this period, a variety of crystal growth techniques have been utilized, each offering unique advantages and disadvantages to the solid-state community.

Traditionally, metal oxides such as molybdates and vanadates are produced using high-temperature techniques (700 to 1200 °C). These methods can cause oxygen to be expelled, resulting in the creation of lattice defects and lower-valence metal ions and complicate precise measurements of physical …

Andre-Quillen Homology And Special Classes Of Ring Homomorphisms, Hossein Faridian

All Dissertations

This thesis is comprised of three chapters. The first chapter deals with a purely algebraic proof of a deep result of Quillen stating that the category of simplicial commutative algebras over a commutative ring is a model category. The central focus of our approach is on the study of shuffle product of connective chain complexes that provides a bridge to translate the constructions in the simplicial algebra world to the chain complex world.

The second chapter delves into Quillen's fundamental spectral sequences that relate Andre-Quillen homology and cohomology to Tor and Ext functors. Our comprehensive treatment develops and streamlines the …

Biogeochemical Controls Of Cesium-137 Migration In Surface Waters And Near Surface Sediments At The Usdoe Savannah River Site, Reid Williams

All Dissertations

Considerable concentrations of cesium-137 (¹³⁷Cs) and other anthropogenic radionuclides have been released into the environment at the Savannah River Site (SRS). Additionally, cesium-containing radioactive waste will be stored onsite for the foreseeable future. Therefore, the goal of this work was to identify mechanisms controlling cesium transport in surface waters and near surface sediments at SRS to further the understanding of ¹³⁷Cs migration in the vadose zone and reservoirs. It was hypothesized that a multitude of factors impact the mobility of ¹³⁷Cs at the SRS, but that the clay sediment fraction provides an important contribution in limiting …

Recyclable Composites Prepared From Animal Coproducts And Industrial Waste Sulfur, Perla Y. Sauceda-Oloño

All Dissertations

Pursuing sustainable and environmentally friendly materials has become a significant objective in materials science, particularly flame retardants and construction materials. This dissertation explores the development and evaluation of novel composites and high sulfur-content materials (HSMs) as potential alternatives to conventional, environmentally harmful materials.

Chapter one reviews recent advancements in environmentally benign flame-retardant additives, highlighting the potential of bio-derived phenols, polysaccharide derivatives, and greener phosphorus sources. The review discusses how green additives can enhance the flame retardancy, thermal stability, and smoke suppression properties of various polymers while addressing the challenges and future directions in the field.

Chapter two investigates the production …

Concert Tickets, Party Matching, Sleeping Barbers, And Single Lane Bridges: Characterizing Student Reasoning About Concurrency, Aubrey Lawson

All Dissertations

Programming with concurrency is challenging both to learn and to teach. A concurrent program has multiple computations happening “at the same time” either simultaneously or in an interleaved manner. It is non-deterministic, imposing only a partial ordering on its decomposed parts. Advantages of concurrency include the potential for increased program throughput, high responsiveness and reduced complexity of program structure. But a concurrent program can be more complex to reason about than a sequential program, in part because the conditions of correctness must hold for all possible execution sequences and also because programmers must implement and reason about synchronization constructs that …

A Phenomenographic Analysis Of Undergraduate Student Perceptions Of The Geosciences And Geoscience Careers, Leah M. Wiitablake

All Dissertations

The climate crisis is upon us, whether we like it or not, and its undeniable effects are evident. Take, for example, Hurricane Helene, which caused unimaginable devastation to what was once considered a “climate haven,” Asheville, NC (Andreoni, 2024; Medina & Fausset, 2024). Hurricane Helene made landfall as a Category 4, jumping from a Category 1 in less than 24 hours (Andreoni, 2024), and is noted by the National Hurricane Center as a major hurricane (National Hurricane Center & Central Pacific Hurricane Center, 2024). With the Earth now unlikely to remain below 1.5°C of warming (IPCC, 2023b), perhaps we can …

Socio-Ecological Drivers Of Anthropogenic Marine Debris Effects On Coral Reef Communities In The Florida Keys, Usa, Tokea Payton

All Dissertations

The Florida Keys reef tract has rapidly shifted from a structurally complex, hard coral-dominated reef to a less rugose, soft coral-dominated reef. Persistent anthropogenic stressors facilitate ecological transitions by including recreational and commercial fishing and increased anthropogenic marine debris. These artificial structures are becoming habitats for small marine taxa known as cryptofauna. Cryptofauna are among the most essential yet understudied reef taxa where little is known about their fate considering degrading coral reefs and increasing anthropogenic disturbance. With increased anthropogenic stressors on the marine environment, the SCUBA diving community has initiated extensive marine debris removal efforts to assist in cleaning …

Enhancing Low-Resource Language Performance In Multilingual Large Language Models, Mingqi Li

All Dissertations

The large language models play an important role in many natural language tasks. However, training these models requires large amounts of data, which is not available for many languages. A noticeable performance gap exists between English and other languages, with low-resource languages showcasing this gap prominently. Therefore, it becomes imperative to improve large language models for low-resource languages. To address these challenges, we developed knowledge distillation and strategic prompt-learning, and attention alignment methods to improve the representation capabilities of large language models for low-resource language, and then enhanced their performance in downstream tasks.

In our first study, we developed a …

A Multiple Mixed-Method Analysis On Empathy In First Year Engineering Education, Libby Flanagan

All Dissertations

This multiple mixed method analysis focuses on exploring how teaching empathy to first year engineering students interacts with their engineering identity and their personal definition of the role of an engineer. The participants received a four-lesson series on empathy and engineering in the Fall of 2023. They completed a pre- and post-survey as well as wrote five written reflections over the course of this semester. Analysis of the survey results found that composite empathy and engineering identity scores increased significantly over the course of this semester and that the increase in female composite engineering identity scores was significantly larger than …

Parental Involvement In Early Warning System Use In A Mid To Low-Poverty School, Carrie Mccain

All Dissertations

This study examines the effectiveness of an Early Warning System (EWS) originally designed for high-poverty schools and its potential impact on improving outcomes for students living in poverty but attending a mid to low-poverty school. The focus is on reducing the graduation rate disparity between economically disadvantaged students and their more affluent peers through intentional parental involvement. The research explores how structured communication between parents, teachers, and students, combined with tailored interventions in the EWS, can enhance student engagement and academic performance. Quantitative data, including attendance, behavior, and course performance, were analyzed before and after the intervention, while qualitative data …

Disability, Sense Of Belonging, And Inclusive Classroom Climates In Undergraduate Engineering, Candice W. Bolding

All Dissertations

In higher education, there has been a growing interest in identifying and addressing the systemic factors that impact the educational experiences and outcomes of underrepresented students pursuing degrees in engineering. Students who identify as having one or more disabilities are an underrepresented population in postsecondary engineering, and although this population of students possess numerous strengths that make them well suited for the field, they often face barriers and challenges that hinder their success within engineering programs. There exists a robust collection of literature examining the experiences and factors that impact other underrepresented groups within postsecondary engineering (e.g., students of color …

Quantifying Greenhouse Gas Exchange And Ecosystem Services In Ecosystems Managed For Nature-Based Solutions Using Eddy Covariance, Remote Sensing, And Models, Lucas Clay

All Dissertations

As global temperatures rise due to climate change, nature-based solutions are increasingly being used to restore nature and to remove carbon from the atmosphere. Nature-based solutions draw on methodologies such as ecological forestry and improved forest management to reduce emissions and maximize resilience. These protocols are still in their infancy and additional measurements and case studies are important to optimizing these protocols. Herein this dissertation we describe multiple measurement methodologies for both greenhouse gas (GHG) emissions and for ecosystem services. In coastal wetland ecosystems, the need for GHG measurements is paramount to understanding the ability of these ecosystems to reduce …

Quantile Regression And Change Point Analysis Of Remote Patient Monitoring Data From Cardiomems Hf System, Shanshan Jia

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Quantile regression provides a sophisticated analytical approach for clinical data, offering deeper insights into patient variability and risk assessment than conventional regression techniques. This study delves into the mathematical underpinnings of quantile regression, highlighting its advantages over ordinary least squares (OLS) regression, particularly in the context of predicting diastolic pulmonary artery pressure (PAP). We explore how this method can be applied to guide clinical interventions more effectively. By leveraging quantile regression’s ability to model different parts of the outcome distribution, we demonstrate its potential to enhance patient care through improved identification of high-risk individuals and the development of more personalized …

Neural Operator And Physics-Informed Deep Learning Approaches For Inverse Design Of Composites And Manufacturing Processes, Minglei Lu

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In this dissertation, artificial intelligence (AI) models are designed and used to accelerate inverse design of composites and manufacturing processes. The critical bottlenecks in machine learning (ML) including data availability, data quality, model generalization and adaptation, interpretability, physical consistency, and the ’black box’ nature of models for the inverse design are addressed. And the proposed AI models are tested under different engineering scenarios. Firstly, a fast deep neural operator (DNO) structure was developed to significantly reduce training time. This model was tested in the context of additive manufacturing, a transformative industrial technology that allows for the creation of materials with …

Space Operations Education Research: Studying Undergraduate Experiences As Predictors Of Early Career Performance For Military Space Operations Officers, Keith Balts

All Dissertations

Undergraduate students who go on to operate space systems, e.g., satellites, launch systems, and ground-based systems, come from a diverse set of demographics and undergraduate experiences. The United States Space Force (USSF), and United States Air Force (USAF) before them, like many professions, have a demonstrated interest in who enters their ranks, but have had limited research available to them to inform their recruiting, selection, training, and early career development policies and processes.

This Profession-Based Education Research study, a term introduced here in contrast to Discipline-Based Education Research, focused on the military space operations profession. This study analyzed newly commissioned …

Cross-Interactions Of Amyloid Proteins: Implications For Aggregation Dynamics And Disease Pathology, Zhiyuan Song

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Amyloid aggregation is a pervasive form of protein misfolding implicated in the pathology of several prominent human diseases, including Alzheimer’s disease (AD), Parkinson’s disease (PD), and type 2 diabetes (T2D). These diseases are marked by the accumulation of amyloid fibrils and toxic oligomers, which are highly dynamic and heterogeneous, posing challenges for understanding their roles in disease progression. Despite significant advances in the diagnosis and management of these conditions, no definitive cure is available. We investigate amyloid aggregation and cross-seeding, with a focus on amyloid-beta (Aβ), tau, alpha-synuclein (αS), and human islet amyloid polypeptide (IAPP) through discrete molecular dynamics (DMD) …

Agricultural Water Use In South Carolina - A Series Of Investigations To Support Long-Term Planning, Charles Pellett

All Dissertations

Agricultural water use in South Carolina has been the subject of some public debate. While there are several sources of information available, the accuracy of the relevant data has been called into doubt. Self-reported estimates may be biased; survey sampling and extrapolation methods yield wide ranges of uncertainty; and reporting compliance or response rate can change over time.

Agricultural water users self-report that their estimates of water use volumes are less accurate than the other major sectors of water use. Center pivot irrigation is the largest and fastest growing kind of agricultural water use in SC. Since the year 2000, …

Real-Time Motion Augmentation And Synthesis For Animating The Hands And Eyes Of Virtual Humans And Avatars, Ryan Canales

All Dissertations

Virtual Reality (VR) enables users to interact within virtual worlds via an embodied virtual representation of themselves called an “avatar”. Because avatars are essential for immersive experiences, it is important to consider how altering or augmenting avatar motion affects virtual experiences. This dissertation aims to improve virtual experiences by addressing some of the many challenges in animating avatars and virtual humans.

In our first study, we addressed the lack of tactile feedback during virtual grasping by using visual feedback techniques. We augmented the avatar’s hand motion to remain outside virtual objects (“outer hand”) even when the user’s hand penetrated them. …

A Mixed-Methods Outcome Evaluation Of A National Science Foundation Advance Project Examining The Effect Of Gender On Organizational Climate And Faculty Experience With Inclusion, Alena Hofrova

All Dissertations

Despite increased efforts through the NSF ADVANCE program to enhance the representation and inclusion of female faculty in academia over the past two decades, challenges related to gender equity persist. This raises concerns regarding the effectiveness of these initiatives, with research indicating gaps in the evaluation of institutional transformation efforts. This mixed-methods dissertation utilized secondary data analysis from the NSF TIGERS ADVANCE Organizational Climate Survey conducted in 2017 (N = 446) and 2024 (N = 429) at Clemson University. A unique identifier was used to track participants' responses over time (N = 76), facilitating the evaluation of …

Sufex-Enabled Stereospecific Deoxygenative Diversification Of Alcohols, Amaechi Odoh

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Alcohols represent an important class of functional group in organic synthesis and medicinal chemistry, given that they are structurally diverse and prevalent in many natural products, biomolecules and renewable feedstocks. As such, they are highly attractive precursors for building-block synthesis, late-stage functionalization, and numerous synthetic transformations. However, existing strategies for the deoxygenative diversification of alcohols operate under constrained conditions, often leading to competing pathways (such as elimination), poor stereospecificity, low efficiencies, and limited substrate compatibility. To address these challenges, we have developed a conceptually novel use of sulfonyl fluorides as bifunctional reagents for the one-step deoxygenative diversification of complex alcohol …

Deformation Mechanism In Gold Nanoparticles Under Compressive Loading: Insights From Atomistic Modelling And Unsupervised Machine Learning, Tanuj Gupta

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Gold nanoparticles (AuNPs) offer exciting possibilities due to their inertness, malleability, and tunable structures, making them valuable for applications ranging from nanomedicine to electronics. Their optical, mechanical, and other properties can be tailored by modifying shape and structure, underscoring the importance of understanding their deformation behaviour at the nanoscale. This study used classical molecular dynamics simulations with LAMMPS to investigate the deformation mechanisms of gold nanospheres (AuNS) under uniaxial compression. Employing the embedded atom method (EAM) potential to model atomic interactions, AuNS with 20 nm in diameter were compressed along the z-direction using planar indenters moving at a constant …

Successful Subject Headings For Moving Image Resources, Scott Dutkiewicz, Charlotte Grubbs, Jen M. Jones

Presentations

This presentation discusses principles from assigning subject headings to moving images using case studies. Our focus is on the Library of Congress Subject Headings (LCSH).

Volume 7, Issue 1, Full Issue

Society for American Sign Language Journal

No abstract provided.