Digital Commons Network^™

The Effect Of Emphasizing Key Vocabulary On Student Achievement With English Learners, Sarah L. Owen

Theses and Dissertations

This action research seeks to determine the impact of teacher training and the use of specific instructional strategies, per the research-based SIOP® teaching model, on English language arts achievement of formally identified first grade English Learners. The study aims to discover if using strategic techniques to teach vocabulary positively affects language acquisition and comprehension. English Learners have historically lagged behind grade level peers in all academic areas. English Learners tend to have many outside variables that can affect their ability to focus on school. Issues with immigration, class, culture, and race are all relevant topics with this population. This study …

Integrating Literacy Strategies In The Biology Classroom: Using A Generative Vocabulary Matrix To Improve Standardized Test Scores, Anna H. Morrison

Theses and Dissertations

This dissertation focuses on the development and implementation of an action research study that seeks to determine the impact of integrating literacy strategies in the biology classroom on standardized test scores. The teacher-researcher identified the problem of practice in her classroom after four years of observation of ninth-grade biology students. These observations led the teacher-researcher to develop, research, and investigate the following question: What is the impact of Larson’s (2014b) Generative Vocabulary Matrix (GVM) in a high school biology course as demonstrated by students’ performance on the South Carolina End-of-Course Examination Program? This dissertation orients the research question from a …

From Seeds To Shoreline®: A Place-Based Approach To Impacting Student Engagement And Achievement, Molly Lloyd

Theses and Dissertations

Place-based education refers to pedagogy that connects student learning with the local environment and students’ lives. Educators’ preoccupation with standardized test scores have increased the disconnect between formal education and student’s life experiences. Schools have developed systems of learning in isolated subjects through reading texts, listening to lectures, or watching videos rather than authentic, experiential learning. School districts have embraced a STEM (science, technology, engineering, and science) approach to education as a way of invigorating student learning. There are many approaches to integrating, hands-on, inquiry-based science lessons. As science PASS test scores have declined, educators are examining best STEM instructional …

The Effects Of Using An Information Literacy Model On The Information Seeking Behavior Of Sixth-Grade Students, Jessica L. Kohout-Tailor

Theses and Dissertations

This action research study describes how teaching an information literacy model affects the information behavior of sixth-grade students. The theoretical framework that supported this study was Carol Kuhlthau’s Information Search Process or ISP (1989). This study used a sequential mixed-methods design to examine the following questions: “How will teaching the Simple Four information literacy model (Alewine, 2006) to sixthgrade students affect their information seeking behavior?” The study also explored the effects the model had on students’ affective behavior through the second research question: “How will teaching the Simple Four information literacy model (Alewine, 2006) to sixth-grade students affect their confidence …

Implementation Costs Of Spiking Versus Rate-Based Anns, Lacie Renee Stiffler

Theses and Dissertations

Artificial neural networks are an effective machine learning technique for a variety of data sets and domains, but exploiting the inherent parallelism in neural networks requires specialized hardware. Typically, computing the output of each neuron requires many multiplications, evaluation of a transcendental activation function, and transfer of its output to a large number of other neurons. These restrictions become more expensive when internal values are represented with increasingly higher data precision. A spiking neural network eliminates the limitations of typical rate-based neural networks by reducing neuron output and synapse weights to one-bit values, eliminating hardware multipliers, and simplifying the activation …

Inorganic Nanocrystals And Their Applications In Hybrid 0d:2d Material Optoelectronics, Mathew Kelley

Theses and Dissertations

Functional nanomaterials have garnered great interest as candidates for use in next-generational optoelectronics such as solar photovoltaics, light-emitting diodes, and photodetectors. Among these low-dimensional materials, hybrid devices employing both 0D and 2D materials are of interest due to exploitation of the favorable characteristics of each component, and performances superior to standalone counterparts are achievable. This thesis is divided into two parts, as follows. The first two chapters will introduce lowdimensional materials and their favorable characteristics; our work on the formation of ligand-exchanged nanocrystal thin films purified by gel-permeation chromatography will also be discussed. In the second component, the formation and …

Uncertainty Estimation Of Deep Neural Networks, Chao Chen

Theses and Dissertations

Normal neural networks trained with gradient descent and back-propagation have received great success in various applications. On one hand, point estimation of the network weights is prone to over-fitting problems and lacks important uncertainty information associated with the estimation. On the other hand, exact Bayesian neural network methods are intractable and non-applicable for real-world applications. To date, approximate methods have been actively under development for Bayesian neural networks, including but not limited to: stochastic variational methods, Monte Carlo dropouts, and expectation propagation. Though these methods are applicable for current large networks, there are limits to these approaches with either underestimation …

The Impact Of Applying The First Two Steps Of Polya’S Four Problemsolving Steps In An Advanced Mathematics Classroom, Christine A. Gray

Theses and Dissertations

The teacher-researcher spent eight weeks as a participant observer in an advanced high school mathematics class in a small town in the southeast. The process of problemsolving was introduced to all twenty students from a combined IB Math SL and AP Calculus AB class. After the pretest, three students were selected, from under-represented groups, for in-depth observation, interviews, and collection of artifacts in order to determine the impact of problem-solving techniques. The work of these students, from underrepresented groups, was examined to gain insight into their experiences and thought processes surrounding problem-solving. The students answered questions about their attitude towards …

An Investigation Of Brain Normalization And Lesion Compensation Techniques Applied To Stroke, Taylor Hanayik

Theses and Dissertations

One of the most ubiquitous steps in neuroimaging is the normalization of brain images. The process of normalization attempts to match any given brain to a standardized template image (e.g. the MNI 152 image). However, clinical images such as those from stroke participants present many challenges when we attempt to warp them to the space of template images, which are typically representative of neurologically healthy individuals. Many software packages exist to facilitate normalization of brain images, but most have limited options available to compensate for brain injury, which is often disruptive to these algorithms. Of the injury compensation methods that …

The Impact Of Reading Workshop On Third Graders In A Summer Reading Camp, Meredith J. Davakos

Theses and Dissertations

This action research describes the influence of the research-based program, Reading Workshop, based on student reading achievement, specifically, in one thirdgrade South Carolina summer reading camp classroom. Guiding the research, the problem of practice arose from the passing of South Carolina’s Act 284, which states that school districts should make provisions to support every child becoming a proficient reader by the end of the third grade (SCDE, 2015a), and the lack of literature regarding the use of Reading Workshop in summer camps or summer school. Thus, the overarching question that guided the research was: To what extent are summer reading …

Probabilistic Multilevel Constitutive Model Of The Compressive Strength Of Hardened Cement Paste Reinforced With Mwcnts, Yohanna Mejia Cruz

Theses and Dissertations

Constitutive models available in the literature typically describe the compressive strength of ordinary Portland cement paste (OPC) in a deterministic fashion, in some cases as a function of variables such as W/C, porosity, and the clinker chemical composition. The significant effect of the proportion of W/C on the final strength, porosity and density have been reported in several works in material science. Some studies have shown that the addition of MWCNTs can also modify the microstructure of cement significantly, and improve compressive strength and other mechanical and physical properties. In principle, W/C, MWCNTs addition, porosity, density, and compressive strength are …

The Effects Of Systemic Functional Linguistics And Gradual Release Of Responsibility On Student Self-Efficacy And Engagement In Mathematics, Jason David Aldridge

Theses and Dissertations

This paper addresses the problem of practice that secondary mathematics students do not feel confident in communicating mathematically. The researcher has placed an emphasis on math language by using a systemic functional linguistic approach to teaching mathematics. Building student confidence and engagement in mathematics is the main focus of the methods presented in this action research study. The researcher wants to investigate how systemic functional linguistics and gradual release of responsibility affects student self-efficacy and engagement in secondary mathematics. A mixedmethods design uses researcher field notes, student surveys and interviews, and student work to examine the levels of self-efficacy and …

Machine Learning Based Disease Gene Identification And Mhc Immune Protein-Peptide Binding Prediction, Zhonghao Liu

Theses and Dissertations

Machine learning and deep learning methods have been increasingly applied to solve challenging and important bioinformatics problems such as protein structure prediction, disease gene identification, and drug discovery. However, the performances of existing machine learning based predictive models are still not satisfactory. The question of how to exploit the specific properties of bioinformatics data and couple them with the unique capabilities of the learning algorithms remains elusive. In this dissertation, we propose advanced machine learning and deep learning algorithms to address two important problems: mislocation-related cancer gene identification and major histocompatibility complex-peptide binding affinity prediction. Our first contribution proposes a …

Hierarchical Corannulene-Based Materials, Allison M. Rice

Theses and Dissertations

Merging the intrinsic properties of fullerene (buckyball) and corannulene (buckybowl) derivatives with the inherent properties of crystalline metal- and covalentorganic frameworks (MOFs and COFs), including their modularity, porosity, versatility, high surface area, and structural tunability, opens a pathway to unlock a novel class of fulleretic materials. Despite the great interest in MOFs and COFs, as well as fullerene derivatives, this dissertation is focused on crystalline fullerene- and corannulenecontaining frameworks, highlighting their potential contributions in the fields of optoelectronic devices, electrodes, and photosensitizers. We have revealed a dual role of fullerene- and corannulene-containing building blocks showing their versatility to act as …

A Rotatable Asymmetric Variable Compensation Mirt Model, Xinchu Zhao

Theses and Dissertations

The purpose of this study is to develop, estimate, and interpret a new variable compensation multidimensional item response theory (MIRT) model, named the Rotatable Asymmetric Variable Compensation Model (RAVCM), that allows for transformation between different correlation structures. Since the model is rotatable like the common compensatory models (CM), it is not necessary to specify or estimate the correlation of abilities to recover the model. Also, it can approximate the existing MIRT models well. In simulation, the RAVCM is shown to estimate the parameters with small error, especially when the non-compensatory model (NCM) is the true model and the correlation of …

Manufacturing Feature Recognition With 2d Convolutional Neural Networks, Yang Shi

Theses and Dissertations

Feature recognition is a critical sub-discipline of CAD/CAM that focuses on the design and implementation of algorithms for automated identification of manufacturing features. The development of feature recognition methods has been active for more than two decades for academic research. However, in this domain, there are still many drawbacks that hinder its practical applications, such as lack of robustness, inability to learn, limited domain of features, and computational complexity. The most critical one is the difficulty of recognizing interacting features, which arises from the fact that feature interactions change the boundaries that are indispensable for characterizing a feature. This research …

Stabilization Of Silicon And Germanium Based High Capacity Anodes For Lithium Ion Batteries, Kuber Mishra

Theses and Dissertations

Lithium-ion batteries (LIBs) have been the driver of the widespread application of portable electronics. As the electronic devices have been more powerful and versatile, the pressing demand for higher energy density batteries have led the extensive explorations of novel materials for high capacity electrodes. Despite several breakthroughs in literature, the current state of art LIBs still uses the battery chemistry developed in early 1990s.The keys challenges for switching to other high capacity electrodes have been high cost, non-linear scalability and poorer electrochemical performance. This dissertation focusses on development of high capacity electrodes in order to increase the energy density of …

Fundamental Aspects Of A Novel Technology For Abatement Of Indoor Allergens, Odell Lendor Glenn Jr.

Theses and Dissertations

The overall goal of this research was to develop a novel approach to reduce the potency of certain asthma triggers, namely, proteins produced by pests or pets in indoor environments. The broad hypothesis of the research was that naturally occurring essential oils will demonstrate enhanced denaturing ability. In any indoor environment, allergens are bound to dry dust particles. In this work, the effectiveness of using dry ice and CO2 with potential for essential oils on dry allergenic proteins through CFD modeling and ELISA methods were evaluated.

There are three objectives central to this work. The first objective was to apply …

The Effect Of 7e Model Inquiry-Based Labs On Student Achievement In Advanced Placement Physics: An Action Research Study, Vaughn C. Vick

Theses and Dissertations

This dissertation involved an action research study of the effects of 7E Model inquiry labs in Advanced Placement (AP) Physics on students’ performance on AP exam inquiry lab-based questions. The study, which is described in detail, employed a one-group, pretest-posttest design to answer the research question regarding the effects of the inquiry-based AP Physics labs on students’ achievement on AP exam inquiry lab questions as measured by unit assessments. Data collection and analysis strategies are also discussed. Sources of data included a pretest, lab reports, and a posttest. The data were analyzed using descriptive statistics, specifically a t-test comparison of …

Normative Data For Four Neuropsychological Tests In A Sample Of Adults Who Are Illiterate And From Latin America, Alejandra Morlett Paredes

Theses and Dissertations

Neuropsychological tests are standardized tasks used to measure psychological functioning that is associated with a particular brain structure. These tests often are used in diagnosing a cognitive deficiency resulting from brain injuries. Currently, there are a limited number of studies that have focused on standardization of neuropsychological tests in Latin America. Therefore, the vast majority of cognitive tests used in the evaluation of patients with brain damage have no normative parameters adjusted to the cultural characteristics of Latinos and Latinas. As a result, neuropsychological diagnoses among this population may be inadequate, and evaluation of rehabilitation program effectiveness limited. The importance …

Rotating Supporting Hyperplanes And Snug Circumscribing Simplexes, Ghasemali Salmani Jajaei

Theses and Dissertations

This dissertation has two topics. The rst one is about rotating a supporting

hyperplane on the convex hull of a nite point set to arrive at one of its facets.

We present three procedures for these rotations in multiple dimensions. The rst

two procedures rotate a supporting hyperplane for the polytope starting at a lower

dimensional face until the support set is a facet. These two procedures keep current

points in the support set and accumulate new points after the rotations. The rst

procedure uses only algebraic operations. The second procedure uses LP. In the third

procedure we rotate a …

Path, Evan Galbicka

Theses and Dissertations

Path is a collaborative system that developed over the course of five months of studio activity and continued through the duration of the exhibition. The system’s main collaborators were a land snail native to eastern North America (Neohelix albolabris), myself, and a digital cellular automaton. These prime agents interwove processes and exchanges between one another into a complex network of folded fractal feedback loops. Cyclic processes produced artifacts and infrastructures to support communication between the components and agents of Path. As a whole, Path spoke to the possibilities for interspecies, cyber-physical, and ecological collaboration to create an …

Smartphone User Privacy Preserving Through Crowdsourcing, Bahman Rashidi

Theses and Dissertations

In current Android architecture, users have to decide whether an app is safe to use or not. Expert users can make savvy decisions to avoid unnecessary private data breach. However, the majority of regular users are not technically capable or do not care to consider privacy implications to make safe decisions. To assist the technically incapable crowd, we propose a permission control framework based on crowdsourcing. At its core, our framework runs new apps under probation mode without granting their permission requests up-front. It provides recommendations on whether to accept or not the permission requests based on decisions from peer …

Integral Measurement Of Atmospheric Particulate Matter (Pm), Di Liu

Theses and Dissertations

Atmospheric aerosol particles also known as atmospheric particulate matter or particulate matter (PM) are microscopic particles (solid or liquid) suspended in air, which is one of six air pollutants in US air quality standard. PM is classified as coarse particles with diameters between 2.5 to 10 mm, fine particles with a diameter less than 2.5 mm (PM_2.5), and ultrafine particles with the diameter less than 0.1 mm (PM_0.1). Epidemiological studies have already showed the adverse health effects (such as asthma, lung cancer and respiratory and cardiovascular disease) resulted from exposure to the fine and ultrafine particles. …

Penalized Mixed-Effects Ordinal Response Models For High-Dimensional Genomic Data In Twins And Families, Amanda E. Gentry

Theses and Dissertations

The Brisbane Longitudinal Twin Study (BLTS) was being conducted in Australia and was funded by the US National Institute on Drug Abuse (NIDA). Adolescent twins were sampled as a part of this study and surveyed about their substance use as part of the Pathways to Cannabis Use, Abuse and Dependence project. The methods developed in this dissertation were designed for the purpose of analyzing a subset of the Pathways data that includes demographics, cannabis use metrics, personality measures, and imputed genotypes (SNPs) for 493 complete twin pairs (986 subjects.) The primary goal was to determine what combination of SNPs and …

Water Dynamics And The Effect Of Static And Alternating Electric Fields, Mohammadmahdi Shafiei Alavijeh

Theses and Dissertations

Having a net dipole moment, water molecules tend to align with an external electric field. The re-orientation of water molecules to align with the field direction can result in structural and dynamic changes in liquid water. Studying these changes can help us to understand the role of an E-field in many biological systems, chemical reactions, and many technological advancements.

In short, the application of static electric fields causes molecules to stay aligned with the field, so, fewer hydrogen bonds break, and molecules have slower dynamics. This type of field can be used when the mobility of water molecules needs to …

The Investigation Of Oxidative Addition Reactions Of Metal Complexes In Cross-Coupling Catalytic Cycles Based On A Unique Methodology Of Coupled Ion/Ion-Ion/Molecule Reactions, Mariah L. Parker

Theses and Dissertations

Popular catalytic cycles, such as the Heck, Suzuki, and Negishi, utilize metal centers that oscillate between two oxidation states (II/0) during the three main steps of catalysis: reductive elimination, oxidative addition, and transmetallation. There has been a push to use less toxic, cheaper metal centers in catalytic cycles, leading to interest in first-row transition metals, such as nickel and cobalt. With these metals, the cycles can potentially pass through the +1 oxidation state, which acts as reactive intermediates, undergoing oxidative additions to form products, potentially with radical characteristics. The oxidative addition steps of catalytic cycles are critical to determining overall …

Neutronics Studies On The Nist Reactor Using The Ga Leu Fuel, Kyle A. Britton

Theses and Dissertations

The National Bureau of Standards Reactor (NBSR) located on the National Institute of Standards and Technology (NIST) Gaithersburg campus, is currently underway of fuel conversion from high enriched uranium (HEU) fuel to low enriched uranium (LEU) fuel. One particular challenging part of the conversion of the NBSR is the high average flux level (2.5×10¹⁴ n/cm²-s) required to maintain experimental testing capabilities of the reactor, without significant changes to the external structures of the reactor. Recently the General Atomics (GA) Training Research Isotopes General Atomics (TRIGA) fuel has shown some promising features as a LEU candidate for the …

Delay Differential Equations And Their Application To Micro Electro Mechanical Systems, Asset Ospanov

Theses and Dissertations

Delay differential equations have a wide range of applications in engineering. This work is devoted to the analysis of delay Duffing equation, which plays a crucial role in modeling performance on demand Micro Electro Mechanical Systems (MEMS). We start with the stability analysis of a linear delay model. We also show that in certain cases the delay model can be efficiently approximated with a much simpler model without delay. We proceed with the analysis of a non-linear Duffing equation. This model is a significantly more complex mathematical model. For instance, the existence of a periodic solution for this equation is …

Investigation Of Gold(Iii) Complexes With Hiv-Ncp7 And Models, James Beaton

Theses and Dissertations

The medicinal uses of gold date as far back as 2500 B.C. in China. In modern times, gold has been used in the treatment of a number of different human diseases including rheumatoid arthritis, cancer, and viral infections. This dissertation will focus on the development of gold complexes for the purpose of selective inhibition of HIV NCp7, a 55 amino acid zinc finger protein with two Cys₃His zinc binding domains.

NCp7 is involved in a number of viral life cycle processes including activation of reverse transcription, integration, DNA recognition, RNA packaging, and formation of the viral envelope. The …