Digital Commons Network^™

Comorbid Adhd And Pediatric Sickle Cell Disease: Prevalence And Risk Factors, Sarah Bills

Theses and Dissertations

Objective: Sickle cell disease (SCD) is a genetic blood condition that places youth at increased risk for deficits in attention and executive functioning suggestive of increased rates of Attention Deficit/Hyperactivity Disorder (ADHD). There is pronounced inconsistency in reported prevalence rates for attention deficits and ADHD diagnoses among youth with SCD, which is due in part to variability in methodology of previous studies. The primary aim of the present study is to use systematic screening to identify the prevalence of inattentive ADHD symptoms and ADHD diagnoses in a pediatric SCD population seen at a large hematology clinic. A secondary aim is …

What Are They Thinking?: A Qualitative Study Of Secondary Students’ Critical Thinking In Online Classes, Scott Allan Nolt

Theses and Dissertations

This action research study emerged in response to students’ struggle to understand what critical thinking is and teachers’ corresponding struggle to develop students’ critical thinking skills. In my role as an instructional designer, I studied student and teacher reactions to interdisciplinary course design that used disciplinary inquiry, problem-posing, and concept-based online learning. The primarily qualitative study focused on students’ reflections across five different social studies and English courses, along with interview data from their teachers and post-course survey data. Exploring how students experience instruction designed to develop their critical thinking skills and how instruction in critical thinking impacts students’ critical …

The Evolution Of Contextualized, Discourse-Based Professional Development To Support Elementary Teachers In The Implementation Of Conceptual Mathematical Teaching Practices, Jennifer Aren Kueter

Theses and Dissertations

This holistic, mixed-methods action research case study aimed to determine the influence of professional development on participants' mathematical teaching practices and how the changes influenced students’ opportunities for discourse. In this two-year study, participants engaged in two professional development phases and implemented new conceptual teaching practices. Quantitative data were collected through surveys and observations. Qualitative data were collected through observations and interviews. Phase-one findings showed that while teachers changed their practices, they were not proficient in conceptual and discourse-based teaching practices. A second phase of professional development occurred using a Community of Practice model. Phase-two findings showed conceptual teaching practices …

Approaches To Detecting And Modeling Over-And Underdispersion In Alternative Count Data Distributions And An Application Of Logistic Regression And Random Forest Modeling To Improve Screening Tools For Tic Disorders In Children, Rebecca C. Wardrop

Theses and Dissertations

This dissertation focuses on theory and application of discrete data methods, particularly approaches to over- and underdispersion relative to the Poisson distribution and an application of random forest and logistic regression modeling. The first chapter derives a score test for over- and underdispersion in the heaped generalized Poisson distribution. Equi-, over-, and underdispersed heaped generalized Poisson and heaped negative binomial data are simulated to evaluate the performance of the score test by comparing the power it achieves to that of Wald and likelihood ratio tests. We find that the score test we derive performs comparably to both the Wald and …

Computational Studies Of Bond Dissociation Energies And Organic Reaction Mechanisms, Shehani Thishakkya Wetthasinghe

Theses and Dissertations

This dissertation presents the progress of two independent projects. Chapter 2 and Chapter 3 focus on the first project, which involves material exploration utilizing machine learning techniques. We explore the potential use of cobaltocenium (CoCp⁺₂) derivatives as metal cations in anion exchange membranes (AEMs) for alkaline fuel cells, highlighting their superior thermal and alkaline stability compared to ammonium derivatives. The stability of CoCp⁺₂ can be fine-tuned by varying the substituent groups attached to the cyclopentadienyl ring (Cp) in CoCp⁺₂ .These derivatives encompass a variety of electron-donating and electron-withdrawing groups as substituents on both …

Utilizing Case Studies To Increase Critical Thinking In An Undergraduate Anatomy & Physiology Classroom, Sarah E. Lehman

Theses and Dissertations

The purpose of this study was to determine the effectiveness of the implementation of case-based learning compared to traditional lecture in increasing critical thinking skills in an undergraduate Anatomy & Physiology I classroom. Throughout the course of one semester, five units were taught with the addition of a case study as an instructional tool while the other four units were taught utilizing only didactic (lecture) methods and did not teach content utilizing case study methodology. Two types of content-specific critical thinking data were analyzed: selected multiple-choice exam questions and End of Chapter (EOC) assignments. The Cornell Critical Thinking Test (CCTT) …

Statistical Methods For Single Cell Sequencing Data Analysis, Fei Qin

Theses and Dissertations

The recent emergence of single cell sequencing (SCS) technology has provided us with single-cell DNA or RNA sequencing (scDNA/RNA-seq) information to investigate cellular evolutionary relationships. Despite many analysis methods have been developed to infer intra-tumor genetic heterogeneity, cluster cellular subclones, detect genetic mutations, and investigate spatially variable (SV) genes, exploring SCS data remains statistically challenging due to its noisy nature.

To identify subclones with scDNA-seq data, many existing studies use an independent statistical model to detect copy number profile in the first step, followed by classical clustering methods for subclone identification in downstream analyses. However, spurious results might be generated …

Deep Learning Methods For Some Problems In Scientific Computing, Yuankai Teng

Theses and Dissertations

Deep learning has emerged as a powerful approach for solving complex problems in scientific computing due to the increasing availability of large-scale data and computational resources. This thesis explores the potential of deep learning methods for three specific problems in scientific computing: (i) reducing the dimensions of variables in function approximation, (ii) solving linear reaction-diffusion equations, and (iii) finding the parametric representations of parameters in the numerical schemes for solving time-dependent partial differential equations.

For the first problem, a novel deep learning architecture is developed for reducing the dimensions of variables in function approximation. The proposed method achieves state-of-the-art performance …

A Study Of Computational Thinking Skills And Attitudes Towards Computer Science With Middle School Students, Lorien W. Cafarella

Theses and Dissertations

Many middle school students come to Computer Science (CS) classes without any previous CS instruction or any Computational Thinking (CT) skills that are needed to be successful. To overcome this, many curriculums and programming environments have been used to engage students and to instill a love of CS. Which curriculum should be used to develop CT skills that will also increase positive attitudes towards CS so students will continue in this field of study in higher grades? The purpose of this mixed method action research study was to evaluate how Code.org’s block-based programming curriculum affects middle school CS students’ CT …

Measurement Of The Total Cross-Section Of Muon Neutrino Charged-Current Coherent Pion Production In Nova Near Detector, Kuruppumullage Don Chatura Dilshan Kuruppu

Theses and Dissertations

Charged Current (CC) coherent neutrino-nucleus pion production is characterized by small momentum transferred to the nucleus, which is left in its ground state. Despite the relatively large uncertainties on the production cross-section, coherent production of mesons by neutrinos represents an important process, as it can shed light on the structure of the weak current and can also constitute a potential source of background for modern neutrino oscillation experiments and searches for Beyond Standard Model (BSM) physics. This Ph.D. thesis presents a new measurement of CC coherent pion production in the NOvA near detector at the Fermi National Accelerator Laboratory (Fermilab). …

Archetypes Revisited: Investigating The Power Of Universals In Soviet And Hollywood Cinema, Iana Guselnikova

Theses and Dissertations

This paper examines the concept of archetypes in Soviet and Hollywood films, drawing perspectives from ancient philosophy and the thought of Carl Jung and post-Jungians. While psychoanalysis provides a valuable framework for understanding the human psyche and the idea of archetypes, it has its limitations and gaps that require further exploration. To address these issues, this paper proposes the adoption of a structuralist approach, with reference to the work of Vladimir Propp on the morphology of the fairy tale. Incorporating Propp's ideas can complement psychoanalytic theory and provide a more comprehensive understanding of the underlying patterns and structures that shape …

Identification Of New Disinfection Byproducts In Drinking Water And Impacts Of Algae, Md. Tareq Aziz

Theses and Dissertations

The disinfection of water has been hailed as one of the most important triumphs for public health in the 20th century. Drinking water treatment plants produce safe drinking water by inactivating microorganisms through the use of disinfectants, including chlorine, chloramine, chlorine dioxide, UV irradiation, and ozone. However, these disinfectants also produce toxic disinfection by-products (DBPs), through reactions with natural organic matter and anthropogenic pollutants, as well as bromide and iodide present in source waters. The presence of bromide and iodide results in the formation of bromo- and iodo-DBPs which are much more toxic than DBPs containing chlorine. DBPs are always …

Developing A Vision-Based Framework For Measuring And Monitoring Water Resource Systems Using Computer Vision And Deep Learning Techniques, Seyed Mohammad Hassan Erfani

Theses and Dissertations

Increased vulnerability of water systems to extreme events and climate change is among the profound challenges facing the management of water resource systems around the world. Extreme events, including droughts, floods, and natural hazards have become more frequent and intensive, particularly in coastal regions. Floods, for instance, caused tens of billions of US dollars losses and put the lives of thousands in danger, globally. To cope with the adverse consequences of floods, a wide range of structural, non-structural, and emergency measures are studied and deployed by flood management sectors. Various flood simulation, mapping, and forecast systems have been developed to …

Extending The Convolution In Graph Neural Networks To Solve Materials Science And Node Classification Problems, Steph-Yves Mike Louis

Theses and Dissertations

The usage of graph to represent one's data in machine learning has grown in popularity in both academia and the industry due to its inherent benefits. With its flexible nature and immediate translation to real life observed objects, graph representation had a considerable contribution in advancing the state-of-the-art performance of machine learning in materials.

In this dissertation proposal, we discuss how machines can learn from graph encoded data and provide excellent results through graph neural networks (GNN). Notably, we focus our adaptation of graph neural networks on three tasks: predicting crystal materials properties, nullifying the negative impact of inferior graph …

Study Of Non-Covalent Interactions Using Molecular Rotors And Balances, Daniel Onyekachi Madukwe

Theses and Dissertations

The main focus of this dissertation is on the quantification of non-covalent interactions using molecular rotors and balances. While molecular rotors were used to measure kinetic effects of weak non-covalent interactions, molecular balances were used to measure their thermodynamic effects. Chapters 1 and 2 focus on the use of molecular rotors in measuring and studying the kinetic effects of the hydrogen bonding interaction on the bond rotation transition states. Chapters 3 and 4 focus on the quantification of lone pair – lone pair and sp²-CH/π interactions respectively, using molecular balances. These studies were carried out in the …

Increasing Math Knowledge In 3Rd Grade: Evaluating Student Use & Teacher Perceptions Of Imagine Math, Paoze Lee

Theses and Dissertations

Students across the nation struggle with learning mathematics for a variety of reasons such as the abstract nature, there is only one correct answer and how math is foundational. With the recent increase in the use of digital programs, school districts across the nation have turned to digital math programs for math intervention and learning. School district leaders must weigh costs, effectiveness, and teacher perceptions. Eighty-seven percent of the third grade students at Reyes Elementary nearly met or did not meet California math standards, prompting the school to adopt Imagine Math. The purpose of this research was to evaluate if …

Widely Digitally Delicate Brier Primes And Irreducibility Results For Some Classes Of Polynomials, Thomas David Luckner

Theses and Dissertations

This dissertation considers three different sections of results. In the first part of the dissertation, a result on consecutive primes which are widely digitally delicate and Brier numbers is discussed. Making use of covering systems and a theorem of D. Shiu, M. Filaseta and J. Juillerat showed that for every positive integer k, there exist k consecutive widely digitally delicate primes. They also noted that for every positive integer k, there exist k consecutive primes which are Brier numbers. We show that for every positive integer k, there exist k consecutive primes that are both widely digitally …

Measuring The Impact Of Peer Coaching On Teacher Effectiveness At Friendship County High School, Whittney Michele Mcpherson

Theses and Dissertations

Student success and achievement can be measured in myriad ways; however, the impact of teacher effectiveness in each classroom is an essential part of the formula for student success. Although most teachers work in isolation in their classrooms, it is important for school leaders to support student success by finding effective methods of supporting teachers. This study investigates the instructional coaching of novice teachers as a professional development tool to support student success and achievement. The specific aim of this study was to investigate if an intervention of instructional coaching was effective in supporting the development of equitable and effective …

Gpu-Enabled Genetic Algorithm Optimization And Path Planning Of Robotic Arm For Minimizing Energy Consumption, Yichuan Cao

Theses and Dissertations

The robotic arm represents a complicated mechanical system and advanced engineering principles in robotics, enabling precise and efficient manipulation and interaction with objects in a variety of applications, such as manufacturing, healthcare, space exploration, and other industries. In most cases, energy consumption of robotic tools has been given little consideration due to their perceived insignificance compared to the benefits they offer. However, the increasing capacity demands of factories and the expanding use of robotic arms necessitate careful evaluation and reduction of energy consumption. In this regard, given a task configuration, adjusting the arm's movement path emerges as one of the …

Groundwater Flow And Salt Marsh Migration: The Forest/Marsh Boundary, Camille Rossiello

Theses and Dissertations

Salt marshes migrate landward in response to sea level rise, but the rate of this migration is not constant and can be influenced by pulse disturbances. Long term observations at Sapelo Island, Georgia, show that salt marsh migration has occurred during droughts, but the mechanism for this migration is unclear. Drought is thought to influence salt marsh migration by reducing fresh groundwater discharge from the upland. Rising sea level also encroaches on the upland, which could cause movement of the freshwater lens inland. A two-dimensional numerical model was built to simulate groundwater flow and solute transport based on the Marsh …

Expanding On The Solid State Chemistry Of F-Element Chalcogenides, Logan Skyler Breton

Theses and Dissertations

An overarching goal in solid state chemistry is to achieve predictability regarding the synthesis of compounds with desired properties. While this goal is far from being reached, solid state chemists are hard at work synthesizing and characterizing new materials to further our understanding of structure-property relationships, and to expand our fundamental knowledge to rationalize the outcomes of solid-state syntheses. With the advent of new solid state synthetic methods, novel compounds exhibiting exciting properties are still being discovered today. The infancy of these synthetic methods promises a myriad of undiscovered compounds with potentially interesting properties which has resulted in a recent …

A Bayesian Spatial Scan Statistic For Normal Data, Laasya Velamakanni

Theses and Dissertations

Scan statistics are useful methods for detecting spatial clustering. While they were initially developed to detect regions with an excess of binomial or Poisson events, spatial scan statistics have been extended to detect hotspots in other types of data including continuous data. They have many applications in different fields such as epidemiology (e.g. detecting disease outbreaks), sociology (e.g. detecting crime hotspots), and environmental health (e.g. detecting high-pollution areas). Spatial scan statistics identify a ‘most likely cluster’ and then use a likelihood ratio test to determine if this cluster is statistically significant. Spatial scan statistics have been extended to the Bayesian …

Predicting Material Structures And Properties Using Deep Learning And Machine Learning Algorithms, Yuqi Song

Theses and Dissertations

Discovering new materials and understanding their crystal structures and chemical properties are critical tasks in the material sciences. Although computational methodologies such as Density Functional Theory (DFT), provide a convenient means for calculating certain properties of materials or predicting crystal structures when combined with search algorithms, DFT is computationally too demanding for structure prediction and property calculation for most material families, especially for those materials with a large number of atoms. This dissertation aims to address this limitation by developing novel deep learning and machine learning algorithms for effective prediction of material crystal structures and properties. Our data-driven machine learning …

The Effects Of Technology Integration On Academic Performance And Engagement Of Third Grade Social Studies Students: A Mixed Methods Study, Ashley Megregian

Theses and Dissertations

The purpose of this study was to evaluate the impact of technology integration on third grade social studies students' academic performance and their engagement with the content of map skills at Peony Elementary. The study took place during the Fall of 2022 with 14 third grade social studies students. There is low academic performance and a lack of engagement from elementary students both nationally and locally. This research explored three questions related to the effects of integrating technology on student academic performance and engagement. The first question looks at the impact of integrating technology on third grade students’ academic performance …

A Qualitative Study Examining And Comparing Families’ And Teachers’ Perceptions Of School Readiness, Shalonya Cerika Knotts

Theses and Dissertations

A child’s readiness for school can impact their trajectory in subsequent grades and later in life. Therefore, children must be prepared when transitioning to kindergarten. As a kindergarten teacher at a Title I elementary school, I noticed a lack of readiness and conducted this qualitative action research study to create a readiness plan for my school by examining and comparing families’ and teachers’ perceptions of school readiness. The participants included my students’ parents and caretakers and my fellow kindergarten teachers. The findings indicate similar perceptions of school readiness. The family and teacher samples both associated readiness with academics and peer …

A Systems Approach To Design And Plan Sustainable Antifragile Infrastructure Based On Aggregate Footprint And Satisfaction, Farboud Khatami

Theses and Dissertations

The concepts of robustness and sustainability in planning and design of water and energy infrastructures have been extensively explored in previous research, primarily focusing on system reliability, environmental considerations, and economic aspects. This study aims to broaden the understanding of these concepts by offering comprehensive frameworks that capture the essence of robustness and sustainability at two distinct levels.

The first level of investigation focuses on the performance of infrastructure networks during natural disasters. Traditionally, this has been addressed using reliability, resilience, and vulnerability metrics. However, these methods rely on static, deterministic, and non-stationary data, which is inadequate when dealing with …

Instructional Coaching: A Support For Increasing Engagement In Middle School Mathematics, Christi Ritchie Edwards

Theses and Dissertations

This observational case study employed a qualitative design to investigate the impact of student-centered instructional coaching and self-determined professional development on student engagement in middle school mathematics. Research demonstrates that engaging students in the learning process increases their attention and motivates them to engage in higher-level critical thinking. Teachers who adopt a student-centered approach to instruction increase opportunities for student engagement. Instructional coaches are used as a professional development tool to support teachers with student-centered instructional practices to engage students in their learning. This four-week study involved two sixth-grade mathematics teachers conducting Number Talks in one of their classes of …

Machine-Learning Classification To Predict The Dimensionality Of Hybrid Organic-Inorganic Halide Perovskites, Yatiwelle Koralalage Samuditha Sandaru Yatiwella

Theses and Dissertations

Low dimensional hybrid perovskites have demonstrated remarkable performance in photovoltaic applications, primarily due to their exceptional optical and electronic properties. As the search for potential candidates for novel materials continues, understanding the structure of these materials is crucial for investigating their stability. In this study, we implement a framework to find novel material based on a machine-learning model. The machine learning model was trained to predict the dimensionality of the polyhedral network based on the connectivity of the polyhedral network in different directions. The polyhedral connectivity of low-dimensional structures can be classified into three dimensions: 0D, 1D, and 2D. This …

Yield Extraction For The Γd → Λ X Reaction, K H P Nishadi Hasarangi Silva

Theses and Dissertations

Improving and adding new experimental measurements of hyperon-nucleon (YN) and hyperon-deuteron (Yd) cross sections is an active area in nuclear physics research. Scientists use such cross-section data to understand the composition of neutron stars and develop a comprehensive picture of the baryon-baryon interaction. Using high luminosity photon beam incident on a long liquid deuterium target and the CEBAF Large Acceptance Spectrometer (CLAS) at the Thomas Jefferson National Accelerator Facility (JLab), a sample of hyperon-deuteron elastic scattering events was previously identified. The E06-103 (g13) experiment was originally designed to address the scarcity of experimental data on hyperon photoproduction off the neutron …

Stem Educators’ Perceptions Of Gender Bias And The Contributing Factors That Persist For Women In Stem Education, Haleigh Nicole Kirkland

Theses and Dissertations

Social influence from society holds the key to social norms that influence students and their future aspirations. Gender bias is considered one of the influencing factors that affects the decisions of female high school students on participating in STEM education. This descriptive study describes the key factors that STEM educators perceived as influential for female high school students' participation in STEM education. The research questions of the study included: (1) What are high school STEM educators’ perceptions regarding gender bias in the STEM School of Study cluster at Skyler High School and (2) What factors do high school STEM educators …