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Study On Factors Influencing The Strong Chromatic Index Of Graphs Derived From Path Graphs, Star Graphs, And Cycle Graphs, Vikram St
Theses and Dissertations
Graph coloring is a major research area in Graph Theory that has a rich collection of research articles contributed by mathematicians across the world. This thesis focuses on a specific type of Graph coloring where the edges of a graph are colored by a principle called strong edge-coloring. There have been numerous research articles published on the least number of colors required to define such a coloring for a given graph G. This least number, χ′s (G), is called as the strong chromatic index of a graph G. Though conjectures stated as early as 1989 remain unsolved, there have been …
A Wrong Made Right: A Qualitative Cross-Case Comparison Study Examining Program Influences On College Readiness, Persistence, And Student Success Outcomes At A Predominantly White University And Historically Black College, Richard Harper
Theses and Dissertations
The increase of underprepared students entering college decreases persistence and graduation rates at postsecondary institutions, ultimately declining degree attainment and social mobility of American citizens (U.S. Department of Education, 2016, McGuire, 2018). ACT, Inc. (2017) data suggests that overwhelming percentages of high school graduates are academically underprepared and are not college-ready. Moreover, an overwhelming number of academically underprepared students come from historically underrepresented populations. To help increase access and college readiness among these populations, specialized programs and services must be implemented to ensure these students are successful at the college level. The Dr. Charles W. Donaldson Scholars Academy is a …
Investigating The Role Of Betrayal Blindness Between High Betrayal Trauma And Dating Violence Among Young Mothers Maltreated As Children, Lauren Catherine Wallace
Investigating The Role Of Betrayal Blindness Between High Betrayal Trauma And Dating Violence Among Young Mothers Maltreated As Children, Lauren Catherine Wallace
Theses and Dissertations
Young mothers experience greater rates of dating violence (DV) victimization and perpetration compared to their non-parenting, female peers as well as older mothers (Joly & Connolly, 2016). Child maltreatment is a salient predictor of DV victimization and perpetration (Li et al., 2019; Murphy et al., 2020). According to Betrayal Trauma Theory (BTT), child maltreatment perpetrated by a close loved one, such as a parent or primary caregiver, is defined as a high betrayal trauma (Freyd, 1996). Young mothers who experienced a high betrayal trauma may endorse betrayal blindness as a way to cope with abuse from their caregiver (Freyd & …
Design And Implementation Of Truly Random Number Generation Using Memristors For In-Memory Computing, Nick Felker
Design And Implementation Of Truly Random Number Generation Using Memristors For In-Memory Computing, Nick Felker
Theses and Dissertations
This paper proposes a new security module based on non-volatile memory. The module uses a memristor-based true random number generator to generate random numbers which can be used for cryptography. The module is implemented in software using a modified RISC-V instruction set architecture. The paper evaluates the performance of the module using the RISC-V simulator Gem5. The results show that the module can generate random numbers at a rate of 63 microseconds per number, which is faster than the standard C library’s random number generator. The module can also be used to scramble strings of characters and generate hashes of …
Rigorous Verification Of Stability Of Ideal Gas Layers, Damian Anderson
Rigorous Verification Of Stability Of Ideal Gas Layers, Damian Anderson
Theses and Dissertations
In this thesis we develop tools for carrying out computer assisted proof of the stability of traveling wave solutions of the spatially one-dimensional compressible Navier-Stokes equations with an ideal gas equation of state. In particular, we obtain rigorous, tight error bounds on a high-accuracy numerical approximation of the traveling wave profile for parameters corresponding to air, and we obtain rigorous representations in a neighborhood of positive and negative infinity of the solution to the first order ODE associated with linearizing the PDE equations about the traveling wave solution. We also develop supporting tools for rigorous verification of wave stability.
Simulation Of A Passive Osmosis-Integrated Electrolyzer For Seawater Electrolysis, Masoomeh Ghasemi
Simulation Of A Passive Osmosis-Integrated Electrolyzer For Seawater Electrolysis, Masoomeh Ghasemi
Theses and Dissertations
Efforts to develop direct seawater electrolysis technology have been ongoing due to the need for pure water in electrolysis and the abundance of seawater. However, progress has been hampered by several issues, including competition with the chlorine evolution reaction, higher membrane resistance, corrosion of electrodes, and scaling from multivalent cations [1]. To avoid these issues, our project has proposed a new reactor that integrates passive osmosis (extracting fresh water from seawater) with electrolysis. In this thesis, we will discuss the operation of the osmosis-integrated electrolyzer and show theoretical predictions of the osmotic pressure differential and water flux/velocity profiles under different …
Machine Learning Approaches To The Exploration Of Ammonia Synthesis Catalysts Utilizing Experimental Data, Rasika Jayarathna
Machine Learning Approaches To The Exploration Of Ammonia Synthesis Catalysts Utilizing Experimental Data, Rasika Jayarathna
Theses and Dissertations
Traditional heterogeneous catalyst discovery process relies upon human expert-guided experiments based on domain knowledge and human intuition supported by catalyst characterization. However, this process is time and resource-consuming and suffers from human bias. Machine learning (ML) models trained on experimental data have the potential to significantly accelerate this discovery process by guiding experiments to optimize the catalyst performance and increase the understanding of the catalysts. Ammonia synthesis catalysts are a class of catalysts widely investigated in the literature, which has generated decades of experimental data. Moreover, ammonia has been gaining attention since it can be used as a carbon-free next-generation …
Social Cognitive Factors That Contribute To Student Retention In A High School Engineering Pathway: A Longitudinal Study, Matthew Vargyas
Social Cognitive Factors That Contribute To Student Retention In A High School Engineering Pathway: A Longitudinal Study, Matthew Vargyas
Theses and Dissertations
This action research study investigated the cognitive factors that impacted students’ choice to continue within a high school engineering pathway, and the effect of multiple engineering courses on students’ engineering self-efficacy. Participants (N = 87) were students who completed three quantitative surveys throughout the engineering course(s) in which they were enrolled. Using the theoretical framework of Social Cognitive Career Theory, each survey measured student engineering self-efficacy, coping self-efficacy, outcome expectations, interests, persistence goals, external supports, and external barriers. Near the end of the course, students completed a qualitative, open-response questionnaire where they indicated their decision to continue in the engineering …
Development Of A Large Format Additive Manufacturing System Based On An Off-The-Self Pellet Extruder, Aywan Das
Development Of A Large Format Additive Manufacturing System Based On An Off-The-Self Pellet Extruder, Aywan Das
Theses and Dissertations
Large Format Additive Manufacturing (LFAM), or Big Area Additive Manufacturing (BAAM), was introduced to resolve the limitations of the low deposition rate, low scalability, and therefore long print times, of traditional 3D printing methods when applied to the manufacturing of large structures and tooling. LFAM can be used to overcome the high conventional tooling costs of large structures. However, even with robotic setups, LFAM still mainly relies on quasi-planar, 2.5D printing strategies. This fails to reap the advantages of multi-axis printing, such as improved adhesion, reduced support material use, and the ability to create complex curved surfaces. In this research, …
Multidimensional Simulation Of Cool Diffusion Flame, Ejaz Ahmed
Multidimensional Simulation Of Cool Diffusion Flame, Ejaz Ahmed
Theses and Dissertations
Understanding the behavior of spherical cool diffusion flames in microgravity conditions is crucial for advancing combustion research. This knowledge has significant implications for both fundamental science and practical applications, such as spacecraft fire safety and the development of advanced, high-efficiency engines that benefit from low-temperature chemistry. Spherical cool diffusion flames are typically characterized by peak temperatures between 500 and 1000K and are often followed by the radiative extinction of a hot flame. Some low-temperature ignitions can sustain indefinitely at around 700K, leading to chain-branching pathways that produce intermediate species such as C2H4, H2O2, HO2, CH2O, CH3O, and HCO. In some …
Accelerating Numerical Modeling And Optimization Of Structural Mechanical Systems, Fatemeh Hashemian
Accelerating Numerical Modeling And Optimization Of Structural Mechanical Systems, Fatemeh Hashemian
Theses and Dissertations
This research proposal presents Bayesian optimization and reduced order modeling methods to accelerate numerical analysis and design of structure mechanical system. First, a holistic framework of Bayesian optimization (BO) based on parameterized numerical models and genetic algorithm-guided adaptive sampling is developed to automate and accelerate the design of a front-loading washing machine. The research aims to address challenges associated with the model parameterization and global optimization and design. A multibody dynamics model of the washing machine incorporating a set of 9 key design variables is developed. The design variables are implemented to enable automated modifications of the dynamics model for …
Design And Development Of A Direct Medium Voltage Solar Pv Resonant Inverter, Parthkumar Sureshkumar Bhuvela
Design And Development Of A Direct Medium Voltage Solar Pv Resonant Inverter, Parthkumar Sureshkumar Bhuvela
Theses and Dissertations
In a grid-tied photovoltaic (PV) system connected to a medium voltage (MV) grid, an inverter is generally employed with a line frequency transformer (LFT) to connect to the grid. These LFTs are large in size and weight, exhibit high cost and losses. In recent studies, the LFTs replaced by are by (high frequency transformer) HFT embedded in DC-DC converters. These DC-DC converters are used to boost voltage levels and DC-AC inverters are employed for MV inversion. This leads to high frequency switching at MV which increases losses in inversion stage. In this study, a novel MV grid-connected solar PV inverter …
Students Speak: A Qualitative Examination Of The Intersection Of Identity And Sexual Violence In A University Setting, Danika M. Charles
Students Speak: A Qualitative Examination Of The Intersection Of Identity And Sexual Violence In A University Setting, Danika M. Charles
Theses and Dissertations
Sexual violence remains a public health concern in the United States. Much of the research has focused on gender-binary individuals, despite the heightened vulnerability of Black, transgender, and nonbinary (BTN) individuals due to societal stigma and discrimination. Campus climate surveys have been recommended by the Obama Administration to address sexual violence, though they often underrepresent BTN students, failing to capture their unique experiences. This study aims to bridge this gap by focusing on the intersection of gender and racial identities, using an intersectional stigma framework to explore the prevalence and impact of sexual violence on BTN students and advocate for …
Efficient Machine Learning On Scientific Data Using Bayesian Optimization, Rui Xin
Efficient Machine Learning On Scientific Data Using Bayesian Optimization, Rui Xin
Theses and Dissertations
Deep Learning is pivotal in advancing data analysis across various scientific fields, from genomics to materials discovery. Despite its widespread use, efficiently learning from limited data and operating under resource constraints remains a significant challenge, often limiting its full potential in environments where data is scarce or resources are restricted. This dissertation explores Active Learning and Automated Machine Learning (AutoML) powered by Bayesian Optimization to enhance the efficiency of machine learning across multiple disciplines. It focuses on algorithm optimization and data management through three interconnected studies. In the first study, we investigate how data management technique - active learning helps …
Offshore Detachment Of The Winyah Bay Plume Through Ekman Dynamics Under Upwelling Conditions, Isabella Moore
Offshore Detachment Of The Winyah Bay Plume Through Ekman Dynamics Under Upwelling Conditions, Isabella Moore
Theses and Dissertations
ABSTRACT River plumes play a crucial role in coastal ecosystems by influencing land-ocean interactions, primary production, water quality, and ocean circulation. This study presents observations of a buoyant river plume off Winyah Bay, South Carolina (USA), conducted in 2020 and 2021. Observations comprised CTD casts and shipborne ADCP profiles as well as near surface flow measurements from a floating platform and microstructure profiles in uprising mode. This research focuses on the offshore transport of the buoyant water through Ekman dynamics under upwelling-favorable conditions. Under varying wind forcing and stratification scenarios, the Winyah Bay plume either remains near the coast or …
Multi-Scale Deep Representation Learning In Synthetic Biology, Xiaoyi Liu
Multi-Scale Deep Representation Learning In Synthetic Biology, Xiaoyi Liu
Theses and Dissertations
Synthetic biology advances and combines the expertise of engineers and biologists, bridging the gap between engineering and natural life. Synthetic biology has been generally categorized into two broad branches by developing new biological components, networks, and systems to reprogram organisms. The first branch involves using synthetic molecules to mimic natural biological functions. The second branch focuses on assembling natural biological components in novel ways, aiming to produce systems with unique, practical functions. Thus, the de novo engineering of biological modules and synthetic pathways is used in related practical bioengineering applications, such as drug-targeting strategies and microbial product manufacturing. Therefore, synthetic …
Analyzing Teachers' Perceptions Of A Principal's Instructional Leadership Practices On A Dual Language Campus Using The Blase And Blase Reflective Growth Model, Selene Canales-Garcia
Analyzing Teachers' Perceptions Of A Principal's Instructional Leadership Practices On A Dual Language Campus Using The Blase And Blase Reflective Growth Model, Selene Canales-Garcia
Theses and Dissertations
As the research base in support of dual language instruction become stronger and more widely recognized, dual language instruction program popularity has risen and the number of programs implemented across the United States has grown (Christian, 2018). Demand for qualified teachers and school administrators is high, but teacher supply has not risen commensurately (Kennedy, 2018b). Therefore, the problem lies in principals having to prepare and provide the necessary supports and professional development for bilingual teachers. The purpose of this research is to explore teachers' perceptions of the principal's instructional leadership practices using the theoretical framework of the Blase Reflective Growth …
Increasing Optical Channel Capacity By Integrating Pam4 Modulation With Wavelength Division Multiplexing And Spatial Domain Multiplexing, Swaroopini Harish
Increasing Optical Channel Capacity By Integrating Pam4 Modulation With Wavelength Division Multiplexing And Spatial Domain Multiplexing, Swaroopini Harish
Theses and Dissertations
Spatial division multiplexing (SDM) is a technique used in telecommunications and networking to increase data transmission capacity over optical fiber communication channels. This multiplexing technique spatially reuses optical frequencies by allocating different spatial locations for inputs based on their inject angles. The signals travel in a helical pattern within the carrier fiber and exit as concentric rings. SDM enables more efficient utilization of available bandwidth and improved communication performance. In four-level pulse amplitude modulation (PAM4), each symbol represents a combination of four possible signal levels instead of the two levels in binary modulation. The four levels are denoted in different …
Parallel Communications In Single-Core Optical Fibers Utilizing Spatial Domain Multiplexing And Wavelength Division Multiplexing, Mingxuan Tu
Theses and Dissertations
This endeavor proposes a hybrid parallel optical communication architecture in single-core fibers combining WDM in O-band (1270 nm, 1310 nm, 1310 nm, and 1330 nm) and two-channel SDM. The proposed architecture applies carefully designed delays in each propagating channel to achieve synchronization and, therefore, realizes parallel transmission in single-core fibers without the help of Serializer/De-serializers (SerDes). A mathematical model of SDM, calculations on delays between each optical channel, simulation of the hybrid architecture, experimental setup, and the testing and analysis of channel performance have been provided. A design of a photonic integrated circuit based on thin film lithium niobate electro-optic …
Beta Lactams Anticancer Effect On Human Breast Cancer, Mcf-7 Cell Line, Ailis A. Abalos
Beta Lactams Anticancer Effect On Human Breast Cancer, Mcf-7 Cell Line, Ailis A. Abalos
Theses and Dissertations
Cancer is a disease where abnormal cells replicate uncontrollably in that same region and/or other parts of the body. One in eight women are diagnosed with breast cancer, thus making it the second leading cause of cancer-related deaths in the U.S. Chemotherapy, is the utilization of medicinal compounds (drugs) to treat cancer. While most are nonspecific and target both cancer and healthy cells, more emphasis is on developing drugs with specificity (only target tumor cells) and low toxicity. Interestingly, Beta Lactams (β-lactams) have emerged as a class of compounds that are effective in the treatment of various cancers. The benefits …
Modulating Covalency In A Ni-H-Al Subunit: Synthesis And Characterization Of A Series Of Electronically Differentiating Ni-Al Heterometallics, Aleida Guadalupe Gonzalez
Modulating Covalency In A Ni-H-Al Subunit: Synthesis And Characterization Of A Series Of Electronically Differentiating Ni-Al Heterometallics, Aleida Guadalupe Gonzalez
Theses and Dissertations
Metal hydrides are moieties that are present in a variety of applications as intermediates in catalysis. Despite the vast utilization of metal hydrides, monometallic metal hydride complexes bear limitations in inert-bond activation and functionalization. A strategy to overcome these limitations and access more challenging reactivity is utilizing metal-metal cooperativity on a single platform to further activate hydride moieties. Although incorporating multiple metal centers on a single ligand scaffold has been realized, access to heterometallic hydride-bearing complexes is a greater synthetic challenge. Given the limitations in accessing such systems, the reactivity and electronic structure of heterometallic hydrides are seldom studied. Recently, …
A Deep Dive Into The Conformations Of Fluorine-Substituted Benzoic Acids And Ethanesulfonic Acid And Spectroscopic Characterizations Of Their Hydrogen-Bonded Complexes, Alitza Gianina Gracia
A Deep Dive Into The Conformations Of Fluorine-Substituted Benzoic Acids And Ethanesulfonic Acid And Spectroscopic Characterizations Of Their Hydrogen-Bonded Complexes, Alitza Gianina Gracia
Theses and Dissertations
Microwave spectroscopy is a technique used to study the molecular structures of a wide range of systems. The first part of the thesis focuses on fluorinated benzoic acids and complexes they form through hydrogen bonding to explore the fluorination effect, while the last part shifts to ethanesulfonic acid and its interaction with water. The study of 3,4,5-triflurorbenzoic acid with formic acid offers insight on the proton tunneling process, which is a process that occurs in many chemical and biological processes. Microwave spectroscopy can help provide dynamic information for the better understanding of this fundamental process. Solvation is another topic that …
The Effects Of Using Dynamic Geometry Software While Exploring The Properties Of Quadrilaterals, Jose J. Jaramillo
The Effects Of Using Dynamic Geometry Software While Exploring The Properties Of Quadrilaterals, Jose J. Jaramillo
Theses and Dissertations
The purpose of my study was to determine the effectiveness of using dynamic geometry software while exploring the properties of quadrilaterals. Dynamic geometry software can be effective if used properly in the exploration process as students construct their own knowledge through constructivism. Students were given the Van Hiele Test as a pretest to determine their van Hiele level prior to taking a high school geometry course. The results determined that the majority of the students were not at the level needed for the course, which is typically taught at a van Hiele level 3. Students in the treatment group used …
Conditional Optimal Sets And The Quantization Coefficients For Some Uniform Distributions, Evans Nyanney
Conditional Optimal Sets And The Quantization Coefficients For Some Uniform Distributions, Evans Nyanney
Theses and Dissertations
Bucklew and Wise (1982) established that the quantization dimension of an absolutely continuous probability measure on a Euclidean space equals the Euclidean dimension of the space, and that the quantization coefficient is finite and positive. This thesis explores the variability of quantization coefficients for uniform distributions on various geometric structures, including line segments, circles, and regular polygons. We derive the conditional optimal sets of n-points and calculate the n-th conditional quantization errors for uniform distributions under different conditions. On line segments, we identify optimal point distributions as either equally spaced or geometrically spaced towards fixed end-points. For circles, we analyze …
Application And Analysis Of Machine Learning And Deep Learning Algorithms In Detection Of Ddos Cyberattacks, Dipok Deb
Theses and Dissertations
A Distributed Denial-of-Service (DDoS) attack involves overwhelming a target system's data bandwidth or computational resources, often using multiple attack systems, aiming to slow down or disable the targeted system. Detecting and mitigating DDoS attacks effectively remains challenging due to their varying characteristics. One of the promising approaches involves developing an AI based Intrusion Detection System (IDS) against cyberattacks. In this study, we aim to develop an AI based Intrusion Detection System (IDS) for DDoS threat detection using Machine Learning, Deep Learning, or hybrid techniques. Different Machine Learning (ML) and Deep Learning (DL) algorithms like Random Forest (RF), Naïve Bayes (NB), …
On The Development Of A Software Pipeline For Automatic Detection Of Transients With The Transient Optical Robotic Observatory Of The South, Alejandro Reyes
On The Development Of A Software Pipeline For Automatic Detection Of Transients With The Transient Optical Robotic Observatory Of The South, Alejandro Reyes
Theses and Dissertations
The Transient Optical Robotic Observatory of the South (TOROS) telescope has the mission to follow up transient events in the southern hemisphere by surveying the visible sky and responding to detection alerts from space and ground based observatories, such as the Fermi Gamma-Ray Telescope, the Swift X-ray Telescope, and the LIGO VIRGO Kagra gravitational wave detectors. In this work we study the automation of various data analysis pipelines and instrumentation control under development for implementation at the TOROS observatory. I present the design of libraries and routines for data organization, archival, and data reduction, as well as a tool to …
Ecological Effects On Greenhouse Gas Emissions In Vegetated Estuarine Soils Of The Lower Laguna Madre, David R. De La Garza
Ecological Effects On Greenhouse Gas Emissions In Vegetated Estuarine Soils Of The Lower Laguna Madre, David R. De La Garza
Theses and Dissertations
Coastal wetlands are important ecosystems that provide numerous ecosystem services including erosion control, habitat for fauna, and carbon sequestration. Notably, coastal wetlands are producers of greenhouse gases (GHGs) but are able to store significant amounts of carbon relative to their surface area. Mangrove forests are amongst the most effective ecosystems for carbon sequestration. Soil emits (GHGs) containing carbon (such as carbon dioxide (CO2) and methane (CH4)), which are produced by organic matter decomposition and soil organic carbon mineralization, and both are an important component of the global carbon cycle. Soil emissions may be affected by a variety of factors including …
Translanguaging As Pedagogy And Culturally Relevant Science Instruction: Teaching In A Bilingual Science Classroom, Angelita J. Salinas
Translanguaging As Pedagogy And Culturally Relevant Science Instruction: Teaching In A Bilingual Science Classroom, Angelita J. Salinas
Theses and Dissertations
The continuous underrepresentation of the Latinx population in STEM fields and careers requires urgent attention. This study addresses this issue by designing and implementing a science curriculum based on culturally relevant and translanguaging pedagogies. Focusing on chemical and physical reactions, the curriculum was implemented in two 8th-grade science classes. Using an ethnographic case study methodology, this research employed classroom observations, field notes, student work analysis, and reflective interviews to gather data. Thematic analysis was conducted to identify key patterns and themes. The analysis revealed how instructional strategies were designed to ensure the relevance of instruction to students' cultural and community …
Improvement Of Triboelectric Nanogenerator By As-Prepared Lithium Niobate For Energy Harvesting And Sensing Applications, Jahid Inam Chowdhury
Improvement Of Triboelectric Nanogenerator By As-Prepared Lithium Niobate For Energy Harvesting And Sensing Applications, Jahid Inam Chowdhury
Theses and Dissertations
One readily available green energy source that is used to address the small-scale energy requirement is mechanical energy. To harvest mechanical energy, supply energy for upcoming electronic devices, and enable flexible health monitoring, triboelectric nanogenerators composed of perovskite and lightweight polymers have garnered significant interest. A material named lithium niobate (LiNbO3) was produced in two different phases and used to make a flexible triboelectric nanogenerator (TENG). Furthermore, lightweight polydimethylsiloxane (PDMS), Polyvinyl Alcohol (PVA), and LiNbO3 nanoparticles were used to produce a small triboelectric nanogenerator that successfully converts mechanical energy into electricity. LiNbO3 nanoparticles were first created and loaded into polydimethylsiloxane …
Mitigating The Greenhouse Gas Footprint Of Hydropower Via Floating Solar Photovoltaic Integration: A Modeling And Predictive Analysis Study, Areefin Ul Hassan Chowdhury
Mitigating The Greenhouse Gas Footprint Of Hydropower Via Floating Solar Photovoltaic Integration: A Modeling And Predictive Analysis Study, Areefin Ul Hassan Chowdhury
Theses and Dissertations
Hydropower is typically considered a low-carbon energy source; however, some hydropower facilities exhibit high greenhouse gas (GHG) intensities due to emissions from their reservoirs. This study evaluates the potential for offsetting GHG intensities by integrating floating solar photovoltaics (FPV) with reservoir-based hydropower. Our assessment indicates that technically feasible FPV–hydropower integrations could enable over 50% of the world’s GHG-intensive hydropower plants to achieve low-GHG energy benchmarks, with significant implications for both hydropower management and climate change mitigation. To support this analysis, we conducted clustering analysis to investigate the potential for reservoir segmentation. Following this, we applied various regression methods to predict …