Digital Commons Network^™

Experimental And Numerical Investigation Of Free Water Surface Evaporation In Case Of Natural Convection, Hassan Fagehi

Dissertations

Evaporation of water can be considered an essential part of the hydrological cycle. It is important for many technological applications such as industrial cooling towers, air conditioning, solid material drying, distillation, and liquid film cooling. Moreover, the interfacial convection caused by the density gradient belongs to Rayleigh convection, which plays an important role in the evaporation process by means of intensifying heat and mass transfer, as in an isopropanol‒water system. In addition, natural convection, which can be defined as a buoyancy-driven flow, is important in astrophysics, geophysics, and numerous engineering applications such as solar energy systems, cooling of electrical equipment, …

A Comparative Study Of Teacher Efficacy Based On Their Years Of Service, Aaron Robert Thomas

Dissertations

Efficacy is thought to be one of the most influential factors in student achievement however, there appears to be little research on how efficacy and years of service are related. Research which does investigate this area mainly focused on preservice and teachers who are starting their careers. This mixed-methods study was designed to determine if there was a correlation between years of service and collective and self-efficacy as well as gain insights into teachers’ perceptions of both collective and self-efficacy. Results of the study found self-efficacy followed an arc pattern, starting out low then rising to its peak for teachers …

Block Versus Traditional Scheduling In High School: Teacher And Student Attitudes, Martin James Spence

Dissertations

The focus of this study was to identify the preferred schedule type (block or traditional) for students and teachers in high schools. Additionally, the purpose of the study was to explore why high schools should assess how time is used during the school day. Survey responses about time management practices of students and teachers at one high school were reported, and implications for how to construct a schedule based on the survey responses were explored. Students and teachers with experience in block and traditional scheduling formats were surveyed for the study. Participants received an online survey and were asked to …

An Integrated Approach (Remote Sensing, Hydrogeology, Gis, And Statistical Modeling) To Identify The Distribution Of Shallow Groundwater Occurrences Over Southwest Saudi Arabia, Fahad Khudier Alshehri

Dissertations

Identifying shallow (near-surface) groundwater in arid and hyper-arid areas has significant societal benefits, yet it is a costly operation when traditional methods (geophysics and drilling) are applied over large domains. In this study, we developed and successfully applied methodologies that rely heavily on readily available temporal, visible and near-infrared, radar, and thermal remote sensing data sets and field data, as well as statistical approaches to map the distribution of shallow (1–5 m deep) groundwater occurrences in Al Qunfudah Province, Saudi Arabia and to identify the factors controlling their development. A four-fold approach was adopted: (1) constructing a digital database to …

On Codes Over Rings: The Macwilliams Extension Theorem And The Macwilliams Identities, Noha Abdelghany

Dissertations

The MacWilliams extension theorem for code equivalence and the MacWilliams identities for weight enumerators of a code and its dual code are two of the most important results in classical coding theory. In this thesis, we study how much these two results could be extended to codes over more general alphabets, beyond finite fields. In particular, we study the MacWilliams extension theorem and the MacWilliams identities for codes over rings and modules equipped with general weight functions.

Reflective Teacher Change Processes In The Presence Of A Mathematics Professional Development Intervention, Jason P. Gauthier

Dissertations

One of the most common methods employed to help teachers improve the teaching and learning of mathematics is professional development (PD). Research into professional development is a relatively new field, but still we know much about the features of effective PD with respect to such improvements. While the broad features of PD that are effective at creating change are relatively well-defined in the research, our understanding of the process of teacher change remains limited.

To begin to better understand this change process, this study examined the processes of teacher change associated with a specific PD intervention. The PD intervention in …

A Unified Decentralized Trust Framework For Detection Of Iot Device Attacks In Smart Homes, Hussein Salim Qasim Alsheakh

Dissertations

Trust in Smart Home technology security is a primary concern for consumers, which can prevent them from adopting smart home services. Such concerns are due to following reasons; (i) nature of IoT devices– which due to their limited computational and resource capabilities, cannot support traditional on-device security controls (ii) any breach to cyber-attacks have an immediate impact on the smart homeowner, compared to traditional cyber-attacks (iii) a large variety of different applications and services under the umbrella of make an overarching security framework for smart homes fundamentally challenging for both providers to offer and owners to manage.

This dissertation offers …

How And Why Higher Education Information Technology Professionals Keep Their Skill Sets Current, Vicky L. Deur

Dissertations

The rapid change in technology creates a challenge for universities to understand the importance of why and how IT professionals keep current in their skill sets, as opposed to leaving the profession or becoming obsolete in their position. This study captured information from IT professionals in higher education regarding the learning activities they find useful in maintaining or updating their skills, an estimate of time spent in those learning activities both at work and outside work, and information on what factors contributed to this maintenance.

Previous research on social cognitive theory and locus of control theory supported the conceptual frame …

What Role Does The African American Church Play When Meeting The Mental Health Needs Of Its African American Parishioners?, Lisa Sutton

Dissertations

Abstract

This study will focus on understanding the role played by the church in meeting the mental health needs of its African American parishioners. The goal is to understand the ways that African American communities hold faith, position themselves within the church, and the outside world, with a specific focus on issues of trust, which have emerged based on historical and structural violence that has debilitated the health of our community. The study examines attitudes and perceptions of church leadership and members around their caring for parishioners with mental health issues. The hope is that the data will help construct …

The Primary Dilemma: Determining And Overcoming Barriers To A Focus On Prekindergarten Through Grade 3, Sarah Turner Lukas, Sarah Turner Lukas

Dissertations

In 2017, reporters of national data in regard to reading ability among American, fourth grade students indicated low proficiency and achievement gaps. These results were also consistent within the state and district under study. There is a need to increase the focus on prekindergarten and primary grade education taking place prior to the grades in which federally mandated, accountability assessments for student learning take place. The purpose of this study is to determine the potential barriers to a paradigm shift at the state and district levels from a focus on state-assessed grade levels to prekindergarten and primary grade levels. The …

An Empirical Study Of Design Parameters For Planning Two-Level And Three-Level Cluster Randomized Trials To Detect Moderator Effects, Qi Zhang

Dissertations

In the last two decades, we have seen an increasing number of impact studies in education that are designed to detect a meaningful average treatment effect, which answers the what works question. Recently, researchers have started to consider how to expand the design of impact studies to answer questions regarding the treatment effect heterogeneity across different contexts, such as for whom and under what conditions programs work. Answering these questions is imperative in the quest to make evidence-based and context-relevant decisions to improve educational outcomes for all students.

Many of the impact studies utilize a cluster randomized trial (CRT). CRTs …

The Impact Of School Climate On Adolescents’ Sense Of Belonging In Al Ain Schools: A Mixed Method Study, Wafaa Mohammed El Zaatari

Dissertations

To compete internationally, Al Ain educational system, and the UAE education system at large, is directed by the UAE 2021 National Agenda and seems to be driven by results. The purpose of this study aims to explore the school climate factors that may impact on adolescents’ sense of belonging. Bronfenbrenner’s Ecological System Theory is used as the framework in this study. The study employed a sequential exploratory research design, that started by using interviews to collect qualitative data from eight male and eight female students in grade 11, and eight of their teachers in schools in Al Ain. The NVivo …

Universal Constraints Of Kleinian Groups And Hyperbolic Geometry, Hala Alaqad

Dissertations

Recent advances in geometry have shown the wide application of hyperbolic geometry not only in Mathematics but also in real-world applications. As in two dimensions, it is now clear that most three-dimensional objects (configuration spaces and manifolds) are modelled on hyperbolic geometry. This point of view explains a great many things from large-scale cosmological phenomena, such as the shape of the universe, right down to the symmetries of groups and geometric objects, and various physical theories. Kleinian groups are basically discrete groups of isometries associated with tessellations of hyperbolic space. They form the fundamental groups of hyperbolic manifolds. Over the …

Self-Determination Theory And Faculty Behavior: A Quantitative Study Of Faculty Leaders' Use Of Assessment Evidence, Joseph D. Levy

Dissertations

Despite assessment of student learning being essential work in higher education, a number of institutions have noted faculty could more effectively be using assessment results (Jankowski et al., 2018; Kuh et al., 2015; Metzler & Kurz, 2019; Suskie, 2014). This study applied Self-Determination Theory (SDT) as a theoretical framework to provide context for faculty behavior associated with assessment actions (Fuller et al., 2016; Ryan & Deci, 2000). Mostly quantitative data were collected via electronic survey of faculty program leaders at a single institution, National Louis University (NLU). Results indicated a significant and positive relationship suggesting an increase in meeting the …

Is Critical Thinking Really Critical? A Research Study Of The Intentional Planning For The Teaching Of Critical Thinking In The Middle Grades, Michelle Smith

Dissertations

Critical thinking is an integral part of human life. However, it is not intentionally planned for and implemented in most public educational institutions. Due to this lack of planning, not everyone thinks critically. Critical thinking is a skill that must be fostered and developed over a period for it to be applied consistently. Individuals who exhibit critical thinking are increasingly likely to be successful in life.

This study focused on the teaching of critical thinking and was conducted at Wildcat Middle School, located in a suburb of Chicago, IL. The research examined the extent to which teachers intentionally planned for …

Competency-Based Education Through The Lens Of Personalized Learning In A Large Public High School, Marcus J. Belin

Dissertations

When students end the chapter of high school, the question education must ask is, “What does it take for a student to walk across the stage and receive their high school diploma?” Is it a transcript full of passing letters ranging from A–D or is it a known belief that students do not have gaps in their knowledge and can apply their knowledge in real-world situations? This study identifies the problem and the basis of research in the program evaluation. It also focuses on identifying a policy that best supports competency-based education (CBE). Lastly, the study …

Computer-Based Learning: Effects On Student Learning And Interpretation Of Curriculum, Hasani Jackson

Dissertations

ABSTRACT In 2010, the Superintendent of Prestige School District (a pseudonym) implemented online learning programs that would cater to student learning while increasing achievement. With the adoption of computer-based programs into Prestige School District System, curriculum specialists wanted to align programs to the Common Core State Standards initiated by the Department of Education. Through gathering quantitative and qualitative data on behalf of various stakeholders within Prestige School District, the goal of this study was to uncover the key elements of online learning programs that can be improved to enhance student achievement. Results provide a foundation for positive learning initiatives that …

Black Girls Matter: The Impact Of Historical Representation On Contemporary Education, Carolyn Strong

Dissertations

A long history of misogynoir and negative stereotypes about Black
girls and women can be found throughout the literature and popular
culture of the United States. These stereotypes inform the lived
experience of Black girls and women, and in particular interfere with
African American girls’ ability to thrive in a school environment. An
autoethnographic research approach shows that various strategies, in
particular, Black girl-centric spaces, have proven to be helpful in
supporting Black girls who have to negotiate varying degrees of
hostility in general environments. These could be applied more broadly
to improve Black girls’ mental, psychological, physical, and
educational …

Computational Modeling Of Recycled Aggregate Concrete Systems, Anuruddha Jayasuriya

Dissertations

Using recycled concrete aggregates (RCA) as a substitution in concrete materials is an excellent way to improve the sustainability of concrete production. However, due to a lack of globally accepted technical guidance, and high material variability, the usage of recycled aggregate concrete (RAC) systems is not readily practiced within most structural engineering applications.

To date, the majority of the experimental findings in the literature indicate that RAC is a weaker composite material when compared to a natural aggregate concrete system in terms of mechanical properties such as compressive strength, elastic modulus, tensile strength, flexural strength, fracture energy, and toughness. However, …

Compound Flooding In Coastal Areas Emanating From Inland And Offshore Events, Hamed Behzad Koochaksaraii

Dissertations

The vulnerability of urban populations to natural hazards and climate change is a major theme in many reports on coastal cities with flooding ranking highly among the climate change concerns. Flooding could occur as a result of runoff for inland rainfall that accumulates at the mouth of the estuary to the sea or it could occur due to a storm surge emanating from the ocean. The techniques for modeling the flooding from these events are very different, as they were developed in different scientific fields: hydrology and hydraulic engineering for inland rainfall versus coastal oceanography and coastal engineering for offshore …

Transfer Learning: Bridging The Gap Between Deep Learning And Domain-Specific Text Mining, Chaoran Cheng

Dissertations

Inspired by the success of deep learning techniques in Natural Language Processing (NLP), this dissertation tackles the domain-specific text mining problems for which the generic deep learning approaches would fail. More specifically, the domain-specific problems are: (1) success prediction in crowdfunding, (2) variants identification in biomedical literature, and (3) text data augmentation for domains with low-resources.

In the first part, transfer learning in a multimodal perspective is utilized to facilitate solving the project success prediction on the crowdfunding application. Even though the information in a project profile can be of different modalities such as text, images, and metadata, most existing …

Stress-State And Injection-Rate Dependent Damage Processes During The Hydraulic Fracturing Of Granite, Gayani Sasendrika Gunarathna

Dissertations

Hydraulic fracturing is a well-stimulation technique that is employed in field applications, such as enhanced geothermal systems (EGS) and shale oil/gas extraction. This research experimentally investigates the effect of the state of stress and injection rate on the hydraulic fracturing processes. In addition, a displacement discontinuity method (DDM) code, FROCK, is used to model the crack initiation and propagation in a granite specimen under hydraulic fracturing conditions. In order to conduct the experimental work, a test setup capable of applying a triaxial state of stress and water pressure inside pre-fabricated flaws cut in prismatic granite specimens is developed. Additionally, the …

Subspace Portfolios: Design And Performance Comparison, Anqi Xiong

Dissertations

Data processing and engineering techniques enable people to observe and better understand the natural and human-made systems and processes that generate huge amounts of various data types. Data engineers collect data created in almost all fields and formats, such as images, audio, and text streams, biological and financial signals, sensing and many others. They develop and implement state-of-the art machine learning (ML) and artificial intelligence (AI) algorithms using big data to infer valuable information with social and economic value. Furthermore, ML/AI methodologies lead to automate many decision making processes with real-time applications serving people and businesses. As an example, mathematical …

Efficient Hardware Implementations Of Bio-Inspired Networks, Anakha Vasanthakumaribabu

Dissertations

The human brain, with its massive computational capability and power efficiency in small form factor, continues to inspire the ultimate goal of building machines that can perform tasks without being explicitly programmed. In an effort to mimic the natural information processing paradigms observed in the brain, several neural network generations have been proposed over the years. Among the neural networks inspired by biology, second-generation Artificial or Deep Neural Networks (ANNs/DNNs) use memoryless neuron models and have shown unprecedented success surpassing humans in a wide variety of tasks. Unlike ANNs, third-generation Spiking Neural Networks (SNNs) closely mimic biological neurons by operating …

Mechanical Characterization Of Animal Derived Starting Materials For Tissue Engineering, Bin Zhang

Dissertations

Animal derived starting materials are well established in the production of Tissue Engineered Medical Devices. Porcine specifically can be found in products ranging in application from hernia repair to breast reconstruction. Although this material has been largely accepted in the Tissue Engineering industry, little is known of its material properties and mechanical characteristics. A review of the scientific literature describes limited mechanical measures only on uncontrolled research grade material. The objective of this work is to mechanically characterize porcine starting material used in the medical device industry. Porcine skin is provided by Midwest Research Swine, LLC (MRS) an established supplier …

Nanocarbon Modification Of Membranes For Enhanced Water Desalination And Water Treatment, Worawit Intrchom

Dissertations

Water scarcity is foreseen to be one of the great global issues in the coming decades. The challenges are not only in providing water supply to cope with the growing public demand, but recovering clean water to natural resources. Clean water supply, from brackish and seawater is attractive. Membrane distillation (MD) is an emerging thermal membrane-based process that has been used for desalination and other pollutant separations from water. MD can be operated at low temperature, so low-grade energy sources are a good alternative heat source for MD. High salt rejection and low membrane fouling also make MD interesting for …

Data Assimilation For Conductance-Based Neuronal Models, Matthew Moye

Dissertations

This dissertation illustrates the use of data assimilation algorithms to estimate unobserved variables and unknown parameters of conductance-based neuronal models. Modern data assimilation (DA) techniques are widely used in climate science and weather prediction, but have only recently begun to be applied in neuroscience. The two main classes of DA techniques are sequential methods and variational methods. Throughout this work, twin experiments, where the data is synthetically generated from output of the model, are used to validate use of these techniques for conductance-based models observing only the voltage trace. In Chapter 1, these techniques are described in detail and the …

Numerical And Analytical Methods To Predict Behavior Of Reinforced Ductile Concrete Composites, Mandeep Pokhrel

Dissertations

Structural components constructed with ductile concrete composites, such as high-performance fiber-reinforced cementitious composites (HPFRCC), are known to perform exceptionally well under extreme mechanical and environmental loading conditions compared to traditional concrete. HPFRCC flexural components exhibit enhanced performance in terms of displacement ductility, energy dissipation capacity, and damage tolerance capacity. However, recent research suggests that the flexural behavior of reinforced HPFRCCs in terms of crack progression, reinforcement plasticity, and failure mechanism is significantly different than conventional reinforced concrete. Specifically, the failure mode of flexural members is found to be predominantly through the fracture of longitudinal reinforcement rather than compression crushing of …

Coding Against Stragglers In Distributed Computation Scenarios, Malihe Aliasgari

Dissertations

Data and analytics capabilities have made a leap forward in recent years. The volume of available data has grown exponentially. The huge amount of data needs to be transferred and stored with extremely high reliability. The concept of "coded computing", or a distributed computing paradigm that utilizes coding theory to smartly inject and leverage data/computation redundancy into distributed computing systems, mitigates the fundamental performance bottlenecks for running large-scale data analytics.

In this dissertation, a distributed computing framework, first for input files distributedly stored on the uplink of a cloud radio access network architecture, is studied. It focuses on that decoding …

Calculating Elastic Properties Of Confined Simple Fluids, Christopher D. Dobrzanski

Dissertations

Confinement in nanoporous materials is known to affect many properties of the fluids confined within their pores. The elastic properties are no exception. This dissertation begins with an overview of the relevant literature on ways of obtaining elastic properties of confined fluids. It outlines some fundamental gaps in our understanding. The chapters following address some of these gaps in understanding elastic properties of the confined fluid, in particular, how the shape of the confining pore matters, how supercriticality effects the properties, how an equation of state designed for confined fluids can be used to calculate elastic properties, and if an …