Digital Commons Network^™

Bio-Inspired Learning And Hardware Acceleration With Emerging Memories, Shruti R. Kulkarni

Dissertations

Machine Learning has permeated many aspects of engineering, ranging from the Internet of Things (IoT) applications to big data analytics. While computing resources available to implement these algorithms have become more powerful, both in terms of the complexity of problems that can be solved and the overall computing speed, the huge energy costs involved remains a significant challenge. The human brain, which has evolved over millions of years, is widely accepted as the most efficient control and cognitive processing platform. Neuro-biological studies have established that information processing in the human brain relies on impulse like signals emitted by neurons called …

Amyloid Proteins And Fibrils Stability, Farbod Mahmoudinobar

Dissertations

Compared to globular proteins that have a stable native structure, intrinsically disordered peptides (IDP) sample an ensemble of structures without folding into a native conformation.One example of IDP is the amyloid-beta(Abeta) protein which is the main constituent of senile plaques in the brain of Alzheimer's patients.Understanding the process by which IDPs undergo structural changes to form oligomers that eventually aggregate into senile plaques/amyloid fibrils may significantly advance the development of novel therapeutic methods to treat neurodegenerative diseases, for which there is no cure to date. This dissertation has two main objectives. The first one is to investigate and identify structural …

Mitochondria Imaging And Targeted Cancer Treatment, Tinghan Zhao

Dissertations

Mitochondria are essential organelles as the site of respiration in eukaryotic cells and are involved in many crucial functions in cell life. Dysfunction of mitochondrial metabolism and irregular morphology have been frequently found in human cancers. The capability of imaging mitochondria as well as regulating their microenvironment is important both scientifically and clinically. Mitochondria penetrating peptides (MPPs), certain peptides that are composed of cationic and hydrophobic amino acids, are good candidates for mitochondria targeting. Herein, a novel MPP, D-argine-phenylalanine-D-argine-phenylalanine-D-argine-phenylalanine-NH₂ (rFrFrF), is conjugated with a rhodamine-based fluorescent chromophore (TAMRA). The TAMRA-rFrFrF probe exhibits advantageous properties for long-term mitochondria tracking of …

Topics On High Dimensional Selective Inference, Yan Zhang

Dissertations

In such applications as identifying differentially expressed genes in micro-array experiments or assessing safety and efficacy of drugs in clinical trials, researchers often report confidence intervals (CIs) and p-values only for the selected parameters, which is called selective inference. While constructing multiple CIs for the selected parameters, it is common practice to ignore issue of selection and multiplicity. Although protection against the effect of selection is sufficient in some cases, simultaneous coverage should be also needed in real applications. For example, in clinical trials, multiple endpoints are considered to assess effects of a drug and the ultimate decision often depends …

Cancer Risk Prediction With Whole Exome Sequencing And Machine Learning, Abdulrhman Fahad M Aljouie

Dissertations

Accurate cancer risk and survival time prediction are important problems in personalized medicine, where disease diagnosis and prognosis are tuned to individuals based on their genetic material. Cancer risk prediction provides an informed decision about making regular screening that helps to detect disease at the early stage and therefore increases the probability of successful treatments. Cancer risk prediction is a challenging problem. Lifestyle, environment, family history, and genetic predisposition are some factors that influence the disease onset. Cancer risk prediction based on predisposing genetic variants has been studied extensively. Most studies have examined the predictive ability of variants in known …

Reduction In Salt Deposition On Carbon Nano-Tube Immobilized Membrane During Desalination Via Membrane Distillation, Madihah Saud Humoud

Dissertations

As water scarcity increases globally under the stresses of increasing demand, aquifer depletion, and climate change, the market for efficient desalination technologies has grown rapidly to fill the void. One such developing technology, membrane distillation (MD), has found much interest in the scientific community. MD has also been powered by solar energy and waste heat resources because it can be operated at relatively low temperatures. Recent studies indicate that MD could potentially achieve the efficiencies of state-of-the-art mature thermal desalination technologies, although additional engineering and scientific challenges must first be overcome.

MD can be used to treat high salinity water …

Impact Of Positive Behavioral Interventions And Supports In California High Schools Year Three And Beyond: A Semi-Replicated Mixed-Methods Study, Jolene Mcgarrah

Dissertations

Purpose: The purpose of this mixed-methods study was to determine what differences

existed between pre- and post-PBIS implementation on suspension rates in California high schools. A further purpose of the study was to determine how experienced high school administrators described the impact of PBIS on their school sites. Methodology: This mixed methods study identified 15 California public schools for data collection and five principals for interviews about their perceptions of the impact of PBIS on their campus. The schools and principals were chosen due to proximity to the researcher. The researcher collected quantitative data from the schools and qualitative data …

Educator Knowledge And Usage Of Evidence-Based Interventions For Students With Emotional And Behavioral Disorders In Special Education Programs Across California, Thelmisha Vincent

Dissertations

Purpose: The purpose of this study was to identify the extent to which evidence-based interventions being utilized with students with emotional and behavioral disorders (EBD) by general education teachers, special education teachers, and behavior interventionists working in K-12 special education programs on comprehensive public and non- public school campuses in California.

Methodology: This mixed method study identified commonly used instructional strategies for students with (EBD) in public and non-public school settings. Respondents were purposefully chosen from general education teachers, special education teachers, and behavior interventionists across California. The data from online survey and interviews were analyzed through factorial ANOVA, descriptive …

Exemplary Chief Nurse Executives Leading Through Storytelling, Tricia Kassab

Dissertations

Purpose: The purpose of this phenomenological study was to understand and describe how exemplary human resources administrators use storytelling to lead organizations using Denning’s (2011) model. In addition, it was the purpose to understand how they use storytelling to create transformational change. Denning’s The Leader’s Guide to Storytelling highlights eight storytelling narrative patterns: to ignite action, to communicate who you are, to build your brand, to transmit values, to foster collaboration, to share knowledge, to tame the grapevine, and to share vision.

Methodology: This phenomenological qualitative study described the lived experiences of exemplary elementary chief nurse executives in California. The …

A Qualitative Study Exploring The Influence Of Low-Income Parental Engagement On Academic Achievement, Deborah Cardin

Dissertations

Purpose: The purpose of this qualitative case study was to understand and describe the strategies that low-income parents use to support their high school students’ high academic achievement.

Methodology: In this qualitative case study, interviews, artifacts, and researcher notes were used to understand and describe the parental engagement behaviors and strategies of low-income parents that contributed to the academic achievement of students from the participant’s perspective. Several themes were derived from the shared experiences of the participants through analysis of data.

Findings: Key findings included parental use of: verbal communication and their presence in the lives of their student, traditionally …

Using Machine Learning Classification Methods To Detect The Presence Of Heart Disease, Nestor Pereira

Dissertations

Cardiovascular disease (CVD) is the most common cause of death in Ireland, and probably, worldwide. According to the Health Service Executive (HSE) cardiovascular disease accounting for 36% of all deaths, and one important fact, 22% of premature deaths (under age 65) are from CVD.

Using data from the Heart Disease UCI Data Set (UCI Machine Learning), we use machine learning techniques to detect the presence or absence of heart disease in the patient according to 14 features provide for this dataset. The different results are compared based on accuracy performance, confusion matrix and area under the Receiver Operating Characteristics (ROC) …

Factor Analysis Of Mixed Data (Famd) And Multiple Linear Regression In R, Nestor Pereira

Dissertations

In the previous projects, it has been worked to statistically analysis of the factors to impact the score of the subjects of Mathematics and Portuguese for several groups of the student from secondary school from Portugal.

In this project will be interested in finding a model, hypothetically multiple linear regression, to predict the final score, dependent variable G3, of the student according to some features divide into two groups. One group, analyses the features or predictors which impact in the final score more related to the performance of the students, means variables like study time or past failures. The second …

Cardiovascular Knowledge, Beliefs And Healthcare Practices Of The Amish In Northern Indiana, Deborah R. Gillum

Dissertations

The Amish are a conservative ethno-religious Christian subculture who are doubling in number every 14 years. There are now more than 249,000 located in 28 states and Ontario, Canada. To our knowledge, no previous study has examined cardiovascular disease (CVD) knowledge and preventive healthcare practices among this socially and technologically isolated population.

Cardiovascular knowledge, beliefs, and healthcare practices among northern Indiana Amish were explored using Leininger's Culture Care Diversity and Universality as a guiding theoretical framework. Sample. Data was obtained from an Amish settlement located in northern Indiana.

Adsorption Of Polyisobutylene-Based Dispersants Onto Carbon Black, Travis Paul Holbrook

Dissertations

The formation of carbonaceous by-products (e.g. soot) during the operation of an internal combustion engine is unavoidable and the aggregation of this soot leads to deleterious effects including abrasive wear of the engine, increased oil viscosities, and sludge deposition. Dispersants, which are composed of a hydrophobic tail and a polar headgroup, are used as oil additives to aid in the suspension and stabilization of the soot particles. Polyisobutylene succinimide (PIBSI) is the most well-studied class of dispersants and is characterized by a linear architecture and polyamine headgroup that interacts with soot by acid-base and dipole-dipole interactions. As such, there remains …

The Antimicrobial Activity And Cellular Targets Of Plant Derived Aldehydes And Degradable Pro-Antimicrobial Networks In Pseudomonas Aeruginosa, Yetunde Adewunmi

Dissertations

Essential oils (EOs) are plant-derived products that have been long exploited for their antimicrobial activities in medicine, agriculture, and food preservation. EOs represent a promising alternative to conventional antibiotics due to the broad-range antimicrobial activity, low toxicity to human commensal bacteria, and the capacity to kill microorganisms without promoting resistance. Despite the progress in the understanding of the biological activity of EOs, many aspects of their mode of action remain inconclusive. The overarching aim of this work was to address these gaps by studying molecular interactions between antimicrobial plant aldehydes and the opportunistic human pathogen Pseudomonas aeruginosa. We initiated …

Selected Performance Indicators Of University-Model Schools, David Herndon

Dissertations

University-Model® schools seek to blend attributes of homeschooling with traditional schooling by transferring a significant portion of classroom time to a satellite classroom, typically the student’s home. Proponents suggest the model lends itself to better prepared and well-balanced graduates due to the forced ownership required of students in terms of time management, the development of independent study habits, increased balance of family life, and subsequent parental guidance; however, very little research exists to validate these claims. These tenants of the model are in line with recent research and theories suggesting a more holistic approach, beyond academic metrics, to ensure college …

Developing A Computational Framework For A Construction Scheduling Decision Support Web Based Expert System, Feroz Ahmed

Dissertations

Decision-making is one of the basic cognitive processes of human behaviors by which a preferred option or a course of action is chosen from among a set of alternatives based on certain criteria. Decision-making is the thought process of selecting a logical choice from the available options. When trying to make a good decision, all the positives and negatives of each option should be evaluated. This decision-making process is particularly challenging during the preparation of a construction schedule, where it is difficult for a human to analyze all possible outcomes of each and every situation because, construction of a project …

Female Student Perceptions Of Factors That Influence Persistence In Male-Dominated Community College Career And Technical Education Science, Technology, Engineering, And Math Programs, Valeria Williams

Dissertations

The number of males enrolled in science, technology, engineering, and math (STEM) programs outnumber female counterparts (Wang & Degol, 2017). The disparity is even greater in persistence rates for STEM related fields (Glass, Sassler, Levitte & Michelmore, 2013). The purpose of this study is to explore the experiences of females enrolled in traditionally male-dominated programs of study, specifically in the areas of STEM in community and junior colleges, to determine factors that influence persistence.

Although previous research exists focusing on women in STEM, most studies explore the barriers women face (Ong, Wright, Espinosa, & Orfield, 2011). The findings from previous …

Bio-Inspired Polymers As Models For Determination Of Non-Covalent Structure/Binding Interactions With Amyloid Β Peptides, Gliadin, And Bovine Γ-Crystallin, Ashleigh Bristol

Dissertations

This dissertation focuses on the development of bio-inspired polymers as models to evaluate binding modes with various proteins through specific design of pendent functionality. Genetic variances can result in abnormal protein behavior in the body, such as aggregation events or mislabeling as an antigen, where polymer/protein complexation can provide insight into protein stability and potential therapeutic approaches. Polymer/protein interactions on the molecular level can occur through various modes, such as hydrogen bonding, electrostatic binding, and hydrophobic interactions. Polymers of different architectures containing acrylamido backbone structures were utilized to study structure/binding interactions in vitro, with the goal of advancing knowledge in …

Psychometric Evaluation Of The Casey-Fink Graduate Nurse Experience Survey, Kathryn C. Casey

Dissertations

Graduate nurses experience stress transitioning from the role of nursing student to practicing professional nurse. Understanding the graduate nurse’s role transition experience is important because excessive and unrelieved stress might influence job satisfaction and contribute to high turnover. Measuring and improving the role transition experience for graduate nurses has become important for healthcare organizations due to concerns regarding retention. A valid and reliable instrument was needed to assess the graduate nurse’s role transition experience. The Casey-Fink Graduate Nurse Experience Survey (Casey, Fink, Krugman, & Propst, 2004) is the most commonly used instrument to measure the stressors, fears, and challenges experienced …

Social Media Sentiment Analysis With A Deep Neural Network: An Enhanced Approach Using User Behavioral Information, Ahmed Sulaiman M. Alharbi

Dissertations

Sentiment analysis on social media such as Twitter has become a very important and challenging task. Due to the characteristics of such data (including tweet length, spelling errors, abbreviations, and special characters), the sentiment analysis task in such an environment requires a non-traditional approach. Moreover, social media sentiment analysis constitutes a fundamental problem with many interesting applications, such as for Business Intelligence, Medical Monitoring, and National Security. Most current social media sentiment classification methods judge the sentiment polarity primarily according to textual content and neglect other information on these platforms. In this research, we propose deep learning based frameworks that …

Embedded Silver Nanoparticles For Metal Enhanced Photoluminescence, Shahid Iqbal

Dissertations

Imaging of biologically significant molecules using plasmons of Metal Nanoparticles (MNPs) is gaining attention in the research community. Localized Surface Plasmon Resonance (LSPR) is the coherent oscillation of conduction electrons of MNPs. The biologically significant molecule is labeled with the fluorophore molecule to get the image. This approach is widely used in clinical practices, however, low intensity light emission from the labeled molecule makes it difficult to image the biologically significant material. One way to improve the weak intensities of fluorophore is to enhance the brightness using a process called Metal Enhanced Photoluminescence (MEP). This phenomenon occurs in the close …

Teacher And Parent Perspectives On Alignment To The Next Generation Science Standards Following Teacher Professional Development, Adam C. Channell

Dissertations

Science teachers are receiving professional development (PD) since the introduction of the Next Generation Science Standards (NGSS) in 2013. Following PD, teachers are facing several challenges while attempting to implement NGSS in their classroom, some of which include budget constraints, administrative support, and student preparedness (Banilower et al., 2013). Additionally, Channell and Cobern's (2018) study on teachers’ experiences aligning to NGSS following PD adds parent pushback to this list of challenges. This study seeks to address a set of interconnected issues related to teachers creating and administering lessons aligned to the NGSS that they have created following PD, and subsequent …

The Effectiveness Of Oral Retelling As A Reading Comprehension Strategy For Elementary Students With Reading Delays, Brandi Michelle Fontenot

Dissertations

Comprehension is an essential component of reading proficiency that produces long-term gains for learners. However, many upper elementary school-age children struggle with reading comprehension. The purpose of the current study was to evaluate the effects of a self-monitoring intervention on reading comprehension for three elementary school-age children with reading delays. Two studies were conducted. In Study 1, behavioral skills training was used to teach participants the elements of a story retell and how-to self-monitor their own story retells. In Study 2, a multiple baseline design across participants was used to evaluate the effects of self-monitoring on four dependent variables: a) …

The Impact Of Social And Cultural Factors On Minority Students’ Participation In An International Baccalaureate Diploma Program, Elizabeth Scott-Janda

Dissertations

Although concern about mathematical achievement inequities has become widespread, even in well-funded, high-performing high schools, unequal outcomes for minority and disadvantaged students can seem persistent and difficult to change despite strong efforts. This project reports on an ethnographic study that examined how social environments within schools can affect students’ choices of whether or not to attempt advanced coursework in mathematics, especially among marginalized groups like Hispanic minorities, low socio-economic status (SES) and rural populations. It considered how social and peer environments affect students’ approaches to schooling, and decisions they make that will have long-term implications for their futures. In particular, …

Ultrafast Relaxation Dynamics In Graphene Oxide-Dye And Perovskites Nanocomposites, Abubkr A. Arzaq Abuhagr

Dissertations

Novel materials such as graphene oxide (GO), reduced graphene oxide (RGO), and Perovskites nanocomposites nanosheets have shown interesting electrical and optical properties. These materials have shown prominence in research regarding optical sensing applications. The interaction of different fluorescent molecules like dye molecules with GO, and RGO have been studied recently to develop novel optical sensors, photo-catalysts, and light-harvesting agents. In this study, we have monitored the excited state interactions of dyes covalently attached to GO and RGO nanosheets. Three amine derivatives of anthracene, pyrene, and coumarin were covalently bound to different systems via amide bonds and diazotization. Characterization of different …

Scalable Algorithms And Hybrid Parallelization Strategies For Multivariate Integration With Paradapt And Cuda, Omofolakunmi Elizabeth Olagbemi

Dissertations

The evaluation of numerical integrals finds applications in fields such as High Energy Physics, Bayesian Statistics, Stochastic Geometry, Molecular Modeling and Medical Physics. The erratic behavior of some integrands due to singularities, peaks, or ridges in the integration region suggests the need for reliable algorithms and software that not only provide an estimation of the integral with a level of accuracy acceptable to the user, but also perform this task in a timely manner. We developed ParAdapt, a numerical integration software based on a classic global adaptive strategy, which employs Graphical Processing Units (GPUs) in providing integral evaluations. Specifically, ParAdapt …

Smart Sensors With Dual Modes Of Signal Transduction For Monitoring Molecules Pertinent To Health And The Environment, Jared T. Wabeke

Dissertations

The dissertation focuses on the design and synthesis of smart materials for the detection of molecules pertinent to environmental protection and healthcare. The use of computational simulations is pivotal toward advancing molecular design for targeted applications. Research was conducted to investigate the use of simulations to develop novel sensors with dual modes of signal transduction. The molecular properties were determined using computational modelling, and then used to elucidate the binding mechanism of the corresponding sensor complexes. Several molecules were produced that respond to important organic analytes, such as glucose and fenthion, an organophosphorus pesticide. Glucose is an exceedingly important biological …

Special Education Teachers Use Of Reading Strategies To Support Students With Learning Disabilities In Reading, Ali A. Alhamdan

Dissertations

This research captures how special education teachers select, use, and monitor reading strategies for 4^th and/or 5^th grade students who have learning disabilities in reading. A multiple case study, the research focused on five different southwest Michigan classrooms where special education teachers teach students with learning disabilities in reading. Data was collected through teacher interviews, classroom observations, and document review. The study results include that small group instruction is the approach teachers value most for Tier II instruction, while direct instruction is valued most for Tier III instruction. At both Tier II and III, teachers select interventions and …

Simultaneous X-Ray Emission Accompanying Two Electron Capture For Fluorine On Gas Targets, David S. La Mantia

Dissertations

The collision between a charged ion and an atom resulting in the capture of two electrons, simultaneous with the emission of a single photon is referred to as radiative double electron capture (RDEC). For ion-atom collisions, this process can be considered the inverse of double photoionization. The study of either process, where just two electrons are involved without influence from neighboring electrons, promises new insight into electron correlation and the role it plays in quantum mechanics. Such a study for photoionization has not yet been done experimentally for two-electron ions because the only target system for which two electrons are …