Digital Commons Network^™

The Effects Of Math Pathways On Pupils In Poverty, Edward Kameen

All Dissertations

This was a Mixed Methods study that evaluated the implementation of a Math Pathways Program at Crestview High School. The study leveraged Improvement Science and a long-range PDSA cycle with the aim of improving outcomes for Pupils in Poverty in Dual Credit math courses. This study sought to answer three research questions. The first two research questions were answered with quantitative data and the final research question was answered with qualitative data. The research questions that guided this study were (1) What effects did the Math Pathways Program have on the enrollment of Pupils in Poverty in Dual Credit math? …

Atomistic And Mesoscale Modeling Of Microstructure Development During Solid-State Sintering, Omar Marwan Isa Hussein

All Dissertations

Interfaces are ubiquitous in materials systems, and they influence the processing and properties of nearly all engineering and functional materials. Examples include grain boundaries (GBs) in polycrystalline materials, free surfaces in nanoparticles, and phase boundaries in multiphase materials. Therefore, understanding and controlling interfacial processes is a key aspect of materials design and discovery efforts. Recent developments in advanced manufacturing and synthesis techniques have enabled the fabrication of materials architectures with intricate nanoscale features. Of particular interest is solid-state sintering, known for creating complex and high-precision geometries with controlled microstructures. While sintering science has been the subject of active research, very …

The Use Of The South Carolina School Improvement Model - Quick Cycles In Sixth-Grade Science Classrooms, Jennifer Gnann

All Dissertations

Using data to make informed decisions about instruction strengthens a teacher’s delivery of content within the classroom. However, many teachers have not been taught how to properly use a model of rapid improvement cycles to analyze data and apply it to their classroom instruction. I modified the South Carolina School Improvement Model so that it could be used in short cycles to see how teachers used it to plan for, monitor, and adjust instruction in their classrooms.

I conducted a single case study over a six-week period in which I instructed two sixth-grade science teachers on how to use the …

A Burkean Herstory: Liminal Narratives In The Life And Work Of Kenneth Burke, Heather F. Hartness

All Dissertations

Women’s contributions to the world are mostly absent from the traditional historical narrative. Who is anonymous and what is invisible often proves challenging and difficult to imagine. We build our understanding of possibilities from what we learn, read, and see. Half of the world’s population accounting for less than one-fifth of historical narratives indicates a liminal chasm; notable people are missing from history. Time marches on, and if the contributions of historically marginalized people continue to be silenced, their contributions will continue to be invisible and unvalued. Histories and herstories are not neutral accounts. Even though most histories are partial, …

Improving Hexapod Platform Pose Accuracy - A Photogrammetry-Based Approach, Sourabh Karmakar

All Dissertations

The aim of this research is to make a newly constructed Stewart-Gough Platform-based test frame Tiger 66.1 operational by developing control software and estimating the error in its pose accuracy. The accuracy of the platform is affected by one source or multiple sources. The typical error sources are kinematic and structural, some of them originate from manufacturing imperfections, assembly deviations, elastic deformations, thermal deformations, and joint clearances which change the expected kinematic behavior of the manipulator. Also, some non-mechanical errors like transmission error, sensor accuracy, algorithm error, and truncation error in calculation contribute significantly in some cases. Using pose deviations …

New Preconditioned Conjugate Gradient Methods For Some Structured Problems In Physics, Tianqi Zhang

All Dissertations

This dissertation concerns the development and analysis of new preconditioned conjugate gradient (PCG) algorithms for three important classes of large-scale and complex physical problems characterized by special structures. We propose several new iterative methods for solving the eigenvalue problem or energy minimization problem, which leverage the unique structures inherent in these problems while preserving the underlying physical properties. The new algorithms enable more efficient and robust large-scale modeling and simulations in many areas, including condensed matter physics, optical properties of materials, stabilities of dynamical systems arising from control problems, and many more. Some methods are expected to be applicable to …

Hpc-Enabled Fast And Configurable Dynamic Simulation, Analysis, And Learning For Complex Power System Adaptation And Control, Cong Wang

All Dissertations

This dissertation presents an HPC-enabled fast and configurable dynamic simulation, analysis, and learning framework for complex power system adaptation and control. Dynamic simulation for a large transmission system comprising thousands of buses and branches implies the latency of complicated numerical computations. However, faster-than-real-time execution is often required to provide timely support for power system planning and operation. The traditional approaches for speeding up the simulation demand extensive computing facilities such as CPU-based multi-core supercomputers, resulting in heavily resource-dependent solutions. In this work, by coupling the Message Passing Interface (MPI) protocol with an advanced heterogeneous programming environment, further acceleration can be …

Making The Move Toward Meaningfulness In Learning Activities: Enhancing Teacher Self-Efficacy In Student Engagement Through An Instructional Coaching Approach In Improvement Science, Maureen Tiller

All Dissertations

Student engagement is a common problem in schools today and a challenging one to solve. Choosing to dive deeper into this complex problem at one high school, ten teachers participated in a coaching cycle designed to impact self-efficacy in student engagement with the support of the school’s instructional coach in collaboration with the principal. One overarching research question guided this improvement science study: What impact does an instructional coaching cycle focused on meaningfulness in learning activities have on teachers’ self-efficacy in student engagement? To answer the research question, I conducted a quantitative and qualitative data analysis of pre- and …

Nuclear Charge Radius Determination Of Iridium Using Euv Spectroscopy Of Highly Charged Ions, Adam Hosier

All Dissertations

Highly charged ions have emerged on the scene of atomic physics because of their compressed electron cloud enhancing various physical phenomena. While transitions in ions and highly charged ions provide valuable information to different communities, their application in nuclear charge radius measurements becomes increasingly prominent. In this work, we report the extreme ultra-violet spectroscopy of Na-like ions and x-ray spectroscopy of Cu-like, Co-like, and Ni-like ions that explore nuclear charge distributions and the identification of new transitions, respectively.

In the first part of this work, extreme ultra-violet spectroscopy of highly charged ions of Na-like osmium and iridium was performed using …

Damage Detection With An Integrated Smart Composite Using A Magnetostriction-Based Nondestructive Evaluation Method: Integrating Machine Learning For Prediction, Christopher Nelon

All Dissertations

The development of composite materials for structural components necessitates methods for evaluating and characterizing their damage states after encountering loading conditions. Laminates fabricated from carbon fiber reinforced polymers (CFRPs) are lightweight alternatives to metallic plates; thus, their usage has increased in performance industries such as aerospace and automotive. Additive manufacturing (AM) has experienced a similar growth as composite material inclusion because of its advantages over traditional manufacturing methods. Fabrication with composite laminates and additive manufacturing, specifically fused filament fabrication (fused deposition modeling), requires material to be placed layer-by-layer. If adjacent plies/layers lose adhesion during fabrication or operational usage, the strength …

Understanding The Interaction Of Environmental Contaminants With Polystyrene Nanoparticles And Dna Using Nuclear Magnetic Resonance Spectroscopy And Density Functional Theory, Saduni Arachchi

All Dissertations

The objective of the thesis is to study the effect of environmental pollutants on polystyrene nanoparticles and biomolecules. This is done in two different techniques, particularly NMR and density functional theory. In this thesis, we use a combination of 1H NMR, Saturation-Transfer Difference (STD) NMR and relaxation experiments to study the interactions, kinetics and dynamics of antibiotics with polystyrene nanoparticles. (PS NPs) Density functional theory (DFT) is used to study the binding of commonly used non-oxidative hair dyes to biomolecules (DNA and amino acids) and PS particles.

Embracing Virtual Reality Technology With Black Adolescents To Redress Police Encounters, Danielle M. Olson, Tyler Musgrave, Divya Gumudavelly, Chardee Galan, Sarita Schoenebeck, D. Fox Harrell, Riana E. Anderson

Journal of Youth Development

As Black youth face race-related stress from personal and vicarious experiences with police, practices advancing youth’s coping self-efficacy and agency are needed. We describe the pilot of a program supporting Black adolescents in creating virtual narratives detailing encounters and resolutions with police and offer preliminary observations of how this program could facilitate racial coping and emotional support. The program included four weeks consisting of both curriculum-based instruction and hands-on activities, four weeks solely focused on designing and developing students’ projects, and one week devoted to students’ final project presentations and peer feedback. We utilized a participatory design to co-create narratives …

Unveiling Linguistic Equity: Two Deaf Women Highlight Sign Language In Iran, Ardavan Guity

Society for American Sign Language Journal

The emergence of awareness of sign language and deaf culture in Iran has brought attention to the need for language rights within the deaf communities of Iran. Deaf Persian/Iranian women face a unique and challenging situation, experiencing oppression on two fronts: gender and being deaf. These women aspire to achieve their dreams but often encounter restrictions imposed by Iranian society. This study focuses on the narratives of two deaf women, highlighting their journeys, overcoming obstacles to advance themselves in society, and striving for equity, independence, and self-determination. The story of Katayoon Guity showcases her journey as a successful artist, while …

Rapallo Notebook C: A Vision, Poetry, And Sundry Writings, Wayne K. Chapman

International Yeats Studies

No abstract provided.

Clemson Commencement Program, August 2023, Clemson University

Clemson Commencement Programs

No abstract provided.

Nonparametric Analysis In Educational Test Development - A Mokken Scale Approach To Evaluating Efl Vocabulary Proficiency, Ali Jahanaray, Akram Faravani

Publications

Mokken Scale Analysis (MSA) can offer a more flexible approach to common Item Response Theories (IRT) as a non-parametric method for evaluating educational tests with ordinal data. This study applied MSA on a Vocabulary Levels Test (VLT) originally developed with IRT methods among 234 English as a Foreign Language (EFL) students to test the assumptions of MSA, including unidimensionality, monotonicity, local independence, and invariant item ordering (IIO) with mokken package in R. MSA assumptions successfully met with the VLT validated with validating the VLT being a unidimensional test with Automated Item Selection Procedures (AISP) and Genetic Algorithm (GA) methods utilized. …

Tunable Linewidth Chip-Level Lasers Using Hybrid Integration Methods, Charles Porter

All Theses

Photonic integrated circuits (PICs) have significant value in today’s world of research. They enable devices to experience large reductions in size, weight, operation power, and cost (SWAPc), making photonic technology more accessible than ever. The functionality of PICs is greatly enhanced due to the realization of both active and passive devices within a single device structure. This is made possible through hybrid integration, which utilizes various coupling methods to transfer light from an active chip to a passive chip. Hybrid integration technology tremendously expands the capabilities of PICs, leading to a plethora of applications. One significant application is that of …

Understanding The Role Of Interactivity And Explanation In Adaptive Experiences, Lijie Guo

All Dissertations

Adaptive experiences have been an active area of research in the past few decades, accompanied by advances in technology such as machine learning and artificial intelligence. Whether the currently ongoing research on adaptive experiences has focused on personalization algorithms, explainability, user engagement, or privacy and security, there is growing interest and resources in developing and improving these research focuses. Even though the research on adaptive experiences has been dynamic and rapidly evolving, achieving a high level of user engagement in adaptive experiences remains a challenge. %????? This dissertation aims to uncover ways to engage users in adaptive experiences by incorporating …

Hybridly Integrated Semiconductor Lasers And Amplifiers On Iii-V/Si3n4 Platform For Beam Combining And Other Advanced Applications, Siwei Zeng

All Dissertations

Photonic integrated circuits (PICs) are devices that integrate multiple photonic functions on a small chip and allow for accurate dimension control and massive production. Similar to electronic integrated circuits, PICs can significantly reduce the system cost, size, weight, and operation power (CSWaP). Recently, the PIC technology has transformed many optical technologies which traditionally rely on tabletop systems and bulky components, such as optical interconnects, nonlinear optics, and quantum photonics, into a chip-scale platform. This device and system miniaturization has successfully led to a wide range of practical applications in computing, sensing, spectroscopy, and communication. However, the traditional passive PIC platform …

Spectroscopy Of Highly Charged Ions For Astrophysical And Laboratory Plasma Diagnostics, Yang Yang

All Dissertations

Electron beam ion traps (EBITs) are small-scale laboratory devices that create and trap highly charged ions (HCI) for spectroscopic studies. These devices create plasma conditions resembling astrophysical environments like stellar winds and supernova remnants, providing valuable insights into astrophysical plasma. Theoretical models for such systems require incorporating relativistic and quantum electrodynamics effects, making experimental studies of HCIs essential for benchmarking these theories.

Spectral analysis of astrophysical and laboratory plasma requires understanding the ionization balance. Accurate atomic data, including excitation, ionization, and recombination cross sections, along with precise knowledge of operating conditions such as electron beam density, electron beam energy, and …

Development Of Mass Transfer Coefficient Correlations Between Carbon Dioxide And Oxygen For Air-Lift Devices, John Walker

All Theses

An experimental method for measurement and determination of carbon dioxide volumetric mass transfer coefficients (k_La) in high pH water was developed. The goal of this research was to develop a relationship between CO₂ and O₂ volumetric mass transfer coefficients for accurate k_La values in order to meet the needs of carbon capture systems and other industries. Results included dissolved oxygen (DO) and total inorganic carbon (TIC) k_La comparisons, as well as polarographic DO (mg/L) and galvanic DO (mV) k_La correlation. CO₂ k_La estimation based on O_{2 …}

Performance Modeling Of Inline Compression With Software Caching For Reducing The Memory Footprint In Pysdc, Sansriti Ranjan

All Theses

Modern HPC applications compute and analyze massive amounts of data. The data volume is growing faster than memory capabilities and storage improvements leading to performance bottlenecks. An example of this is pySDC, a framework for solving collocation problems iteratively using parallel-in-time methods. These methods require storing and exchanging 3D volume data for each parallel point in time. If a simulation consists of M parallel-in-time stages, where the full spatial problem has to be stored for the next iteration, the memory demand for a single state variable is M ×Nx ×Ny ×Nz per time-step. For an application simulation with many state …

Cyber Attack Surface Mapping For Offensive Security Testing, Douglas Everson

All Dissertations

Security testing consists of automated processes, like Dynamic Application Security Testing (DAST) and Static Application Security Testing (SAST), as well as manual offensive security testing, like Penetration Testing and Red Teaming. This nonautomated testing is frequently time-constrained and difficult to scale. Previous literature suggests that most research is spent in support of improving fully automated processes or in finding specific vulnerabilities, with little time spent improving the interpretation of the scanned attack surface critical to nonautomated testing. In this work, agglomerative hierarchical clustering is used to compress the Internet-facing hosts of 13 representative companies as collected by the Shodan search …

Generalizable Deep-Learning-Based Wireless Indoor Localization, Ali Owfi

All Theses

The growing interest in indoor localization has been driven by its wide range of applications in areas such as smart homes, industrial automation, and healthcare. With the increasing reliance on wireless devices for location-based services, accurate estimation of device positions within indoor environments has become crucial. Deep learning approaches have shown promise in leveraging wireless parameters like Channel State Information (CSI) and Received Signal Strength Indicator (RSSI) to achieve precise localization. However, despite their success in achieving high accuracy, these deep learning models suffer from limited generalizability, making them unsuitable for deployment in new or dynamic environments without retraining. To …

Multi-Commodity Flow Models For Logistic Operations Within A Contested Environment, Isabel Strinsky

All Theses

Today's military logistics officers face a difficult challenge, generating route plans for mass deployments within contested environments. The current method of generating route plans is inefficient and does not assess the vulnerability within supply networks and chains. There are few models within the current literature that provide risk-averse solutions for multi-commodity flow models. In this thesis, we discuss two models that have the potential to aid military planners in creating route plans that account for risk and uncertainty. The first model we introduce is a continuous time model with chance constraints. The second model is a two-stage discrete time model …

Bringing Vanished Landscapes To The Surface: A Multi-Tool Approach To Unearthing Charleston's Walled City, Alexis Allen

All Theses

The early 18^th century historic fortification system that surrounded the urban town of Charleston has been a focus of excavations and historical research within the past two decades. However, while the outline of early Charleston’s walled city is hypothesized through the analysis of historic maps and plats, very few fortification locations have been visually confirmed. In order to determine their accuracy, this thesis georeferenced eleven historic maps and four plats to the modern landscape. As a result, possible locations of Charleston’s walled city were predicted. These were surveyed as test sites and remote sensing methods were employed that helped …

Measurement Of Microplastics In A Freshwater Micro-Watershed, Cole Bowman

All Theses

The role of microplastics as an emerging contaminant can be complex to study because of the lack of standardization in the collection and analysis of microplastic particles. The purpose of this manuscript is to detail an iterative process of different collection methods in trying to understand microplastic deposition and transport in a freshwater micro-watershed through lab-based and field-based studies. A flume experiment was conducted to test the trapping efficiency of a sediment trap design at two different velocities (1.12 m/s and 2.24 m/s). Eight types of microplastics varying in morphology and density were introduced to the flume in order to …

Study Of Morphological And Physiological Properties And Pollinators Of The Invasive Callery Pear, Prabina Sharma

All Theses

Callery pear is an invasive tree in 15 states of United States and is currently present in 37 states. Its management has challenged landowners and land managers. Despite being listed as a noxious weed in four states, its study is limited. The accurate estimation of Callery pear biomass will give a clearer picture of the level of invasion and help land managers develop different strategies to control its population. Similarly, identifying possible pollinators of Callery pear is essential to have some insights on pollinators associated with this tree. Hence, the objectives of this study are 1) to calculate total above-ground …

The Extent Of Drone Education Being Taught In Asc Schools To 4-Year Construction Students, Cheran Teja Dumpati

All Theses

The technology of Unmanned Aircraft Systems (UAS) is growing rapidly in many fields and has become one of the skills in demand in the industry. Universities are one of the primary sources of teaching drone technology with a career-oriented approach. The goal of this study is to investigate the content of the drone curriculum being taught in Associated Schools of Construction (ASC) schools. This includes the topics covered, practical training offered, and the key deliverables taught. This information serves as a foundation for the schools that are looking forward to start drone courses in their department. The research found that …

Null Space Removal In Finite Element Discretizations, Pengfei Jia

All Theses

Partial differential equations are frequently utilized in the mathematical formulation of physical problems. Boundary conditions need to be applied in order to obtain the unique solution to such problems. However, some types of boundary conditions do not lead to unique solutions because the continuous problem has a null space. In this thesis, we will discuss how to solve such problems effectively. We first review the foundation of all three problems and prove that Laplace problem, linear elasticity problem and Stokes problem can be well posed if we restrict the test and trial space in the continuous and discrete finite element …