Digital Commons Network^™

A Value-Based Sequential Optimization Framework For Efficient Materials Design Considering Uncertainty And Variability, Maher Alghalayini

All Dissertations

Many problems in engineering and science can be framed as decision problems in which we choose values for decision variables that lead to desired outcomes. Notable examples include maximizing lift in airplane wing design, improving the efficiency of a power plant, or identifying processing protocols resulting in structural materials with desired mechanical properties. These problems typically involve a significant degree of uncertainty about the often-complex underlying relationships between the decision variables and the outcomes. Solving such decision problems involves the use of computational models or physical experimentation to generate data to make predictions and test hypotheses. As a result, both …

Fluorescence Multiplexing With Combination Probes For Biological And Diagnostic Applications, Madeline Mccarthy

All Dissertations

Cancer refers to a group of diseases containing more than 200 different subtypes. Cancer is a heterogeneous disease by nature, meaning that there are differences among tumors of the same type in different patients, and there are differences among cancer cells within a single tumor of one patient. Since cancer is not a single disease, nor does it have a single cause, it proves to be incredibly hard to diagnose and treat. The ability to study cellular markers, cell and tissue spatial arrangement, and gene function are all integral parts of cancer diagnostic and treatment efforts.

Here, I first present …

Youth Science Learning As/For Community Participation: Examples From Youth Participatory Action Research, Steven M. Worker, Sally Neas, Dorina Espinoza, Car Mun Kok, Martin Smith

Journal of Youth Development

Youth development programs often provide young people with science learning experiences. We argue for reframing youth science learning from a focus on individual scientific literacy to an emphasis on collective scientific literacy—community science—to support young people in using science to address issues in their lives and communities. We provide examples from youth participatory action research (YPAR), one community science pedagogical approach. The YPAR model supports youth in deciding upon an environmental, economic, or social issue; designing and implementing research; and using their research findings to improve their community. We implemented YPAR with eight cohorts of youth over three years at …

Gaining Insights Into Signed Music Through Performers, Pamela E. Witcher, Jody Cripps, Hodan Youssouf

Society for American Sign Language Journal

Signed music is best described as an inter-performative art form that combines lyrical and non-lyrical musical performances and is deeply rooted in the culture of deaf people who communicate through signed language (J. H. Cripps & Lyonblum, 2017; J. H. Cripps et al., in press [a]). The key investigative component for this article includes outlining the experiences that three Canadian performers had about their signed music creativity during a plenary at the Partition/Ensemble 2020 Conference held by the Canadian Association for Theatre Research in Montreal, Quebec. The panelists responded to two questions that they developed for themselves: What inspired us …

Volume 5, Issue 2, Full Issue

Society for American Sign Language Journal

No abstract provided.

Clemson Board Of Trustee Minutes, Educational Policy Committee, 2023 Februrary 2, Clemson University Board Of Trustees

Minutes

No abstract provided.

Common Data Set 2022-2023, Clemson University

Common Data Sets

No abstract provided.

Introduction To The Special Issue On Immunology, Colby Tofel-Grehl, Brooke A. Whitworth

Publications

The COVID-19 pandemic laid bare the absence of needed resources for teachers to engage students in learning about infectious disease as both a socioscientific issue and a scientific phenomenon (Kafai et al. 2022). With infectious disease largely absent from the NGSS, teachers had to creatively link lessons that contextualized and examined key aspects of infectious disease education during the COVID-19 pandemic. We saw in real time the impacts of popular news, social media, and public mood on broader socioscientific behaviors such as vaccination, masking, and social distancing. We watched as people’s understanding of the nature of science (Lederman 2013) …

Rabbit Anatomy: A Brief Photographic Atlas And Dissection Guide - Part Ii: Cardiovascular System (Third Edition), Soma Mukhopadhyay, Lisa Ruggiero Wagner

Rabbit Anatomy: A Brief Photographic Atlas and Dissection Guide

No abstract provided.

Rabbit Anatomy: A Brief Photographic Atlas And Dissection Guide - Part I: Muscular System (Third Edition), Soma Mukhopadhyay, Lisa Ruggiero Wagner

Rabbit Anatomy: A Brief Photographic Atlas and Dissection Guide

No abstract provided.

Ancient Antimicrobials - An Inquiry-Based Look At The Social Context Behind Microbes, Akacia Halliday-Isaac, Brooke A. Whitworth

Publications

No abstract provided.

Clemson Commencement Program, December 2022, Clemson University

Clemson Commencement Programs

No abstract provided.

Mysteerio: Multi-Regional Environmentally Extended Input-Output Model For United States, Yash Srivastava

All Theses

This research work titled My State Environmentally Extended Regional Input-Output (MYSTEERIO) is based on the concept of multi-regional environmentally extended input-output (MREEIO), which is a combination of lifecycle thinking and economics principles. Numerous studies have highlighted the advantages of using this methodology to determine the environmental impacts associated with economic activities for a region. However, no prior attempt has been made to conduct a state-level analysis for the US. This research work thus tries to estimate the impacts embodied due to the consumption of goods and services at the state level by using the MREEIO principles. Extensive coverage of the …

Koopman Operator Theory And The Applied Perspective Of Modern Data-Driven Systems, Alex Krolicki

All Theses

Recent theoretical developments in dynamical systems and machine learning have allowed researchers to re-evaluate how dynamical systems are modeled and controlled. In this thesis, Koopman operator theory is used to model dynamical systems and obtain optimal control solutions for nonlinear systems using sampled system data. The Koopman operator is obtained using data generated from a real physical system or from an analytical model which describes the physical system under nominal conditions. One of the critical advantages of the Koopman operator is that the response of the nonlinear system can be obtained from an equivalent infinite dimensional linear system. This is …

Performance Based Design And Machine Learning In Structural Fire Engineering: A Case For Masonry, Deanna Craig

All Theses

The volatile and extreme nature of fire makes structural fire engineering unique in that the load actions dictating design are intense but not geographically or seasonally bound. Simply, fire can break out anywhere, at any time, and for any number of reasons. Despite the apparent need, fire design of structures still relies on expensive fire tests, complex finite element simulations, and outdated procedures with little room for innovation. This thesis will make a case for adopting the principles of performance-based design and machine learning in structural fire engineering to simplify the process and promote the consideration of fire in all …

Learning To Reason About Code With Assertions: An Exploration With Two Student Populations, Sarah Blankenship

All Theses

Code tracing is fundamental to students’ understanding of a program, and symbolic reasoning that entails learning to use assertions with abstract input and output values, as opposed to concrete values, enhances that understanding. Symbolic reasoning teaches students valuable abstraction and logic skills that will serve them well in all aspects of programming and their software
development careers.
We use lessons integrated into an online educational tool to supplement classroom instruction to help students learn symbolic reasoning. We explore two ways for students to learn about assertions: Writing assertions to capture the behavior of given code and solving Parsons-style problems in …

Effect Of Chlorine Dioxide Gas On The Properties Of Packaging Materials And Effect Of Chlorine Dioxide Gas To Maintain The Quality Of Fresh Strawberries, Duleeka Kuruwita, Duleeka Prasadani Kuruwita Arachchige

All Dissertations

ClO₂ as an antimicrobial gas in the headspace of produce package is a relatively novel approach. Gaseous ClO₂ is more effective than aqueous ClO₂ and can be used in the headspace of fresh food packages. ClO₂ gas can diffuse into product surfaces and films. As an oxidizer, it can react with and change polymeric package components, possibly affecting the product’s shelflife.

This research studied effects of ClO₂ gas treatments on produce packaging materials (APET, two PE types, Nylon). The treatment group (with ClO₂) and the control group (without ClO₂) of packaging …

Design, Fabrication, And Characterization Of Conjugated Polymeric Electrochemical Memristors As Neuromorphic/Integrated Circuits, Benjamin Grant

All Dissertations

Organic materials are promising candidates for future electronic devices compared to the complementing inorganic materials due to their ease of processability, use, and disposal, low cost of fabrication, energy efficiency, and flexible nature toward implementation as flexible and non-conformal devices.With that in mind, electrochemical materials have been widely demonstrated with commercial use as sensors, displays, and a variety of other electronic devices. As Moore's law predicts the increase in the density of transistors on a chip, the requirement to create either smaller transistors or the replacement of the transistor device entirely is apparent. Memory resistors, coined ``memristor", are variable resistive …

Multiscale Topology Optimization With A Strong Dependence On Complementary Energy, Dustin Dean Bielecki

All Dissertations

A discrete approach introduces a novel deep learning approach for generating fine resolution structures that preserve all the information from the topology optimization (TO). The proposed approach utilizes neural networks (NNs) that map the desired engineering properties to seed for determining optimized structure. This framework relies on utilizing parameters such as density and nodal deflections to predict optimized topologies. A three-stage NN framework is employed for the discrete approach to reduce computational runtime while maintaining physics constraints.

A continuous representation that uses complementary energy (CE) methods to solve a representative element's homogenized properties consists of an embedded structure that is …

Pedagogical Data Literacy With A Multi-Tiered System Of Supports: A Mixed Methods Study Of Teachers Using Data-Driven Reading Instruction In A Title I School, Paula Alexander

All Dissertations

The purpose of this research study was to examine how teachers use pedagogical data literacy methods using the South Carolina Multi-Tiered System of Supports (SCMTSS) framework, and its influence on positive student outcomes in reading achievement for all students and students receiving reading intervention supports in Kindergarten through third grade.

Teachers' pedagogical data literacy, or the intersection of educators' knowledge and skills to transform the data into instructional strategies to meet students' needs, provides a lens to fulfill the SCMTSS framework approach of using data-based problem solving to maximize growth of all students. This research study identified SCMTSS Tier I …

Optical Control System For Atmospheric Turbulence Mitigation, Martyn Lemon

All Theses

Propagation of laser light is distorted in the presence of atmospheric turbulence. This poses an issue for sensing, free-space optical communications, and transmission of power. With an ever-increasing demand for high-speed data communications, particularly between satellites, unmanned vehicles, and other systems that benefit from a point-to-point link, this issue is critical for the field. A variety of methods have been proposed to circumvent this issue. Some major categories include the manipulation of the light’s structure, an adaptive scheme at the optical receiver, scanning mirror systems, or a transmission of simultaneous signals with a goal to improve robustness.

There is an …

Supporting Us Army Next-Generation Ground Vehicle Simulation Modeling Using An Integrated Ontology Suite, Edward Louis

All Theses

The development of the US Army’s next-generation of ground vehicle systems is supported by simulations that predict vehicle performance and inform engineering design choices in the design and acquisition process. In this paper, we describe the development of an Integrated Ontology Suite to support modeling and simulation of next generation military ground vehicles. The ontology suite is intended to address model reuse challenges and increase the shared understanding of ground vehicle system simulations. It is intended to function in a Model Library structure that stores, documents, assembles, and executes vehicle simulations. The ontology suite consists of four domain ontologies: Vehicle …

Multiple Objective Function Optimization And Trade Space Analysis, Yifan Xu

All Theses

Optimization can assist in obtaining the best possible solution to a design problem by varying related variables under given constraints. It can be applied in many practical applications, including engineering, during the design process. The design time can be further reduced by the application of automated optimization methods. Since the required resource and desired benefit can be translated to a function of variables, optimization can be viewed as the process of finding the variable values to reach the function maxima or minima. A Multiple Objective Optimization (MOO) problem is when there is more than one desired function that needs to …

Cover Cropping And Organic Amendments To Improve Sandy Soils Under Organic Vegetable Production, Charles Williamson

All Theses

Coastal Plain soils in the Southeastern USA are typically sandy with poor soil structure, low soil organic carbon (SOC) content, and meager soil fertility that pose challenges to organic agriculture. Adding organic inputs is a strategy to improve these soils' physical, chemical, and biological characteristics. Here, we aim to investigate the impacts of Cover Cropping (CC) and manure inclusions on sandy soils under organic vegetable production. The experiment design was a randomized complete block with two treatments of manure application (with and without) and four CC treatments of cereal rye (Secale cereale), hairy vetch (Vicia villosa), …

Utilizing Systematic Design And Shape Memory Alloys To Enhance Actuation Of Modular High-Frequency Origami Robots, Jessica M. Den Haese

All Theses

Shape memory alloys (SMAs) describe a group of smart metallic materials that can be deformed by external magnetic, thermal, or mechanical influence and then returned to a predetermined shape through the cycling of temperature or stress. They have several advantages, such as having excellent mechanical properties, being low cost, and being easily manufactured, while also providing a compact size, completely silent operation, high work density, and requiring less maintenance over time. SMAs can undergo sold-to-solid phase transformations, and it is because of these phase transformations that they can experience shape memory effect (SME); or the ability to recover from a …

Oam-Based Wavelets In A High Speed Optical Probing System For Measuring The Angular Decomposition Of The Environment, Justin Free

All Theses

This thesis presents the theoretical development of orbital angular momentum (OAM) based wavelets for the analysis of localized OAM information in space. An optical probing system for generating and detecting these wavelets is demonstrated; individual wavelets can scan the environment in 10µs or less. The probing system was applied to a three-dimensional atmospheric turbulence distribution to obtain a continuous wavelet transform of the angular information of the turbulent propagation path about a fixed radius. An entire continuous wavelet transform was measured in 3.8ms; the measurements are much faster than the turbulence and give insight into the short time scale of …

Scalable Data-Driven Predictive Modeling And Analytics For Cho Process Development Optimization, Sarah Mbiki

All Dissertations

In 1982, the FDA approved the first recombinant therapeutic protein, and since then, the biopharmaceutical industry has continued to develop innovative and highly effective biological drugs for various illnesses¹. These drugs are produced using host organisms that are modified to hold the genetic encoding of the targeted protein¹. Of the many host organisms, Chinese hamster ovary (CHO) cells are often used due to capability to perform posttranslational modification (PTM): which allows human-like synthesis of proteins unlikely to invoke immunogenicity in humans ^1,2.

Despite all the positive attributes, many challenges are associated with CHO cell cultures, …

Improving Efficiency Of Rational Krylov Subspace Methods, Shengjie Xu

All Dissertations

This thesis studies two classes of numerical linear algebra problems, approximating the product of a function of a matrix with a vector, and solving the linear eigenvalue problem $Av=\lambda Bv$ for a small number of eigenvalues. These problems are solved by rational Krylov subspace methods (RKSM). We present several improvements in two directions: pole selection and applying inexact methods.

In Chapter 3, a flexible extended Krylov subspace method ($\mathcal{F}$-EKSM) is considered for numerical approximation of the action of a matrix function $f(A)$ to a vector $b$, where the function $f$ is of Markov type. $\mathcal{F}$-EKSM has the same framework as …

The Greek Merchant Marine: A Unique Combination Of Nautical Skill And Commercial Savvy, Alexander Billinis

All Theses

The Greek-owned merchant fleet remains the world’s largest, and while plenty of histories have been written about this fleet, there is a definite absence in the historiography about why the Greeks’ relation to the sea is unique, and how this fleet came into existence. The author argues that the Greek merchant fleet is a successful hybridization of a commercial middleman minority ethos born out of conditions in the Ottoman Empire and post-independence Greece, combined with the shipping skills of a littoral people who invested in this expertise.

To understand the how and why of the Greek merchant fleet, it is …

Transforming Character Faces Based On Perceived Personality Traits, Kara Porter

All Theses

The ability to read other human's faces is a crucial part of everyday life. Subconsciously, the human brain analyzes someone's face within the first few seconds of seeing it, making a variety of conclusions ~\cite{FacePerp} such as gathering information about emotional state and assuming character traits this person might possess. The purpose of this thesis is to create a tool that allows a user to alter features of a character's three dimensional (3D) face mesh to look increasingly or decreasingly like the character possesses certain personality traits. Using a sample set of randomly generated faces, a survey is conducted to …