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Delineating The Cellular Mechanisms Of Endoplasmic Reticulum-Retained Endoglin Mutants Causing Hereditary Hemorrhagic Telangiectasia Type 1, Nesrin Mohammed Gariballa

Dissertations

Endoglin, also known as cluster of differentiation 105 (CD105), is an auxiliary receptor in the TGFβ signaling pathway. It is predominantly expressed in endothelial cells as a component of the heterotetrameric receptor dimers comprising type I, type II receptors and the binding ligands. Mutations in ENG, the gene encoding endoglin, have been associated with Hereditary Hemorrhagic Telangiectasia type 1 (HHT1), a rare autosomal dominant inherited disorder affecting about 1 in 5000-8000 individuals, which is generally characterized by vascular malformations. Secretory and many endomembrane proteins synthesized in the Endoplasmic Reticulum (ER) are subjected to a highly stringent protein folding and assembly …

Undergraduate Nursing Students' Perceptions Of Clinical Readiness Increase With Integration Of Simulation Using Ati-Supported Resources, Kasey L. Trill

Dissertations

The purpose of this study was to increase first semester Historically Black College and University (HBCU) nursing student's simulation exposure by 50% using the ATI education platform and measure student perceptions of readiness for clinical rotations. This study addressed the research gap of simulation in beginning nursing courses and the impact on student perceptions of self-efficacy in future clinical rotations and contributes to the larger body of simulation research by answering the following questions:

1. What are student perceptions regarding simulation and clinical readiness?

2. How does exposure to simulation impact student clinical performance outcomes?

3. To what degree does …

Focus On Form In Peer Collaborative Dialogues In An Omani Efl Context, Sheikha Ali Al-Buraiki

Dissertations

It is well established that classroom interaction and peer learning are essential aspects of the learning process. Thus, it is crucial to incorporate classroom peer interaction into second language learning situations. Drawing on sociocultural theory (SCT), the present study explored students’ focus on form while collaboratively completing pair/group activities and investigated the students’ and teacher’s perceptions of and attitudes towards focusing on the formal properties of the language during peer interaction in their regular English lessons. The research data were collected quantitatively and qualitatively using the following instruments: students’ recorded audio dialogues, a students’ survey, and a teacher’s interview. One …

​​The Effects Of Viewpoint, Motion, And Affordance Priming On Perceptual Learning Of Feelies​, Catherine Dowell

Dissertations

According to Gibson and Gibson (1955) perceptual learning is a process of developing the skill to differentiate previously undifferentiated but available information. The initial investigations focused on object identification, lacking a behaviorally relevant functional task. In the current study participants learned to differentiate between novel objects (feelies). To test the role of visual exploration objects were viewed from either a side or a top view and were displayed as either static pictures or rotating about a vertical axis. In Experiment 1 a simple object discrimination task was used. Perfect accuracy was achieved sooner in static conditions compared to motion conditions …

Stream-Evolving Bot Detection Framework Using Graph-Based And Feature-Based Approaches For Identifying Social Bots On Twitter, Eiman Alothali

Dissertations

This dissertation focuses on the problem of evolving social bots in online social networks, particularly Twitter. Such accounts spread misinformation and inflate social network content to mislead the masses. The main objective of this dissertation is to propose a stream-based evolving bot detection framework (SEBD), which was constructed using both graph- and feature-based models. It was built using Python, a real-time streaming engine (Apache Kafka version 3.2), and our pretrained model (bot multi-view graph attention network (Bot-MGAT)). The feature-based model was used to identify predictive features for bot detection and evaluate the SEBD predictions. The graph-based model was used to …

التطور اللغوي في العربية المعاصرة من خلال باب الأدوات (تحقيقات في ضوء مقولة الخطأ والصواب ومقاربات في التفسير), خالد حسین دلكي

Dissertations

No abstract provided.

The Effects Of Type Of Recall On Memory Accuracy In An Eyewitness Case Vignette, Ketura Mccroy

Dissertations

Memory and recall play an essential role in determining convictions in cases of eyewitness testimony. Eyewitnesses can appear confident in their statements, yet one’s memory and recall of a witnessed event can become distorted or manipulated in the process given that it is highly susceptible to various errors, biases, and misleading information such as suggestive questions. The purpose of this study was to further examine how two types of recall (i.e., cued and free) effect eyewitness testimony. In this study, 43 participants read a hypothetical case vignette of a murder crime scene; they were then randomly put into either a …

The Relationship Between Background Music And Symptomatology In Adults Diagnosed With Adhd, Michelle L. Spiewak

Dissertations

Individuals who have been diagnosed with attention-deficit/hyperactivity disorder (ADHD) often experience symptoms that interfere with their daily functioning, concentration, and performance at school, at home, in the workplace, and in social settings. Previous research has been conducted into the effects of background music on various facets of learning, mostly with populations of children and individuals without ADHD. The focus in this clinical research project was to examine the relationship between background music and symptomatology in 18 adult students between the ages of 18 and 26 years who had been diagnosed with any type of ADHD. Results did not indicate significance …

Assessing The Risk, Addressing The Need: A Mixed Method Approach To Designing A Strengths-Based, Post-Incarceration, Correctional Assessment For Women, Rashonda Johnson

Dissertations

Women are the fastest-growing segment of the incarcerated population, steadily increasing since 1985 (ACLU, n.d.). More than one million women are behind bars or have some involvement with the criminal justice system. The rapid growth of incarceration among women has led scholars and researchers to address the growing needs and risk levels that lead to increased recidivism rates. The creation of assessment tools specifically focused on female populations began in 1999. However, before this time, instruments were historically designed for men within the criminal justice system, and addendums were added to these tools to be used with female populations (Voorhis …

Reclaiming And Reconceptualizing Accountability, Joseph Hailpern

Dissertations

This body of work contributes to the exploration of the intended and unintended consequences of the policy levers, referred to as education accountability policy, that have driven entire systems toward the inclusion of student performance data into educator performance ratings and the impact on the profession. Only from an extensive understanding of where we have been can a reimagined path forward be born to serve our youth and society better. This mixed methods dissertation does so by uncovering the legal landscape that defines the policy levers and bringing educators together in focus groups to delve deeply into these levers’ impact …

The Mobility Of Long-Lived Radioisotopes And Their Burial In The Marine Environment, Neil Redmond

Dissertations

Marine sediments record chemical signals that reflect past environmental conditions. It is important to establish how these signals are created and whether they may be altered over time so that they can be useful for reconstructing ocean history. Measurements of uranium isotopes are used as a novel proxy for sedimentary diagenetic processes (Chapter 2). Because ²³⁴U can be ejected from mineral lattice during the decay of ²³⁸U, it creates a pool of U in porewater that is potentially mobilized and then deposited elsewhere in the core. We found that alpha-recoiled ²³⁴U is sensitive to differences in sediment …

Machine Learning And Network Embedding Methods For Gene Co-Expression Networks, Niloofar Aghaieabiane

Dissertations

High-throughput technologies such as DNA microarrays and RNA-seq are used to measure the expression levels of large numbers of genes simultaneously. To support the extraction of biological knowledge, individual gene expression levels are transformed into Gene Co-expression Networks (GCNs). GCNs are analyzed to discover gene modules. GCN construction and analysis is a well-studied topic, for nearly two decades. While new types of sequencing and the corresponding data are now available, the software package WGCNA and its most recent variants are still widely used, contributing to biological discovery.

The discovery of biologically significant modules of genes from raw expression data is …

Neural Correlates Of Post-Traumatic Brain Injury (Tbi) Attention Deficits In Children, Meng Cao

Dissertations

Traumatic brain injury (TBI) in children is a major public health concern worldwide. Attention deficits are among the most common neurocognitive and behavioral consequences in children post-TBI which have significant negative impacts on their educational and social outcomes and compromise the quality of their lives. However, there is a paucity of evidence to guide the optimal treatment strategies of attention deficit related symptoms in children post-TBI due to the lack of understanding regarding its neurobiological substrate. Thus, it is critical to understand the neural mechanisms associated with TBI-induced attention deficits in children so that more refined and tailored strategies can …

Motion-Resistant Pulse Oximetry, Ludvik Alkhoury

Dissertations

The measurement of vital signs ? such as peripheral capillary oxygen saturation (SpO₂) and heart rate (HR) levels ? by a pulse oximeter is studied. The pulse oximeter is a non-invasive device that measures photoplethysmography (PPG) signals and extracts vital signs from them. However, the quality of the PPG signal measured by oximetry sensors is known to deteriorate in the presence of substantial human and sensor movements contributing to the measurement noise. Methods to suppress such noise from PPG signals measured by an oximeter and to calculate the associated vital signs with high accuracy even when the wearer …

Biomechanical And Psychophysical Underpinnings Of Balance Dysfunction In Individuals With Traumatic Brain Injury, Naphtaly Ehrenberg

Dissertations

Falls are a major burden on healthcare infrastructure, especially in older adults and even more so in older individuals that are living in institutions. According to data from the Centers for Disease Control and Prevention (CDC), from 2010 to 2020, unintentional falls were the leading cause of nonfatal emergency department visits for all age groups except among individuals from 15-24 years of age, where unintentional falls ranked a very close second to being unintentionally struck by or against. Among older individuals living in the community, approximately 30-35% fall at least once in a given year, and around three times as …

Mapping Programs To Equations, Hessamaldin Mohammadi

Dissertations

Extracting the function of a program from a static analysis of its source code is a valuable capability in software engineering; at a time when there is increasing talk of using AI (Artificial Intelligence) to generate software from natural language specifications, it becomes increasingly important to determine the exact function of software as written, to figure out what AI has understood the natural language specification to mean. For all its criticality, the ability to derive the domain-to-range function of a program has proved to be an elusive goal, due primarily to the difficulty of deriving the function of iterative statements. …

Importance Of Vegetation In Tsunami Mitigation: Evidence From Large Eddy Simulations With Fluid-Structure Interactions, Abhishek Mukherjee

Dissertations

Communities worldwide are increasingly interested in nature-based solutions like coastal forests for the mitigation of coastal risks. Still, it remains unclear how much protective benefit vegetation provides, particularly in the limit of highly energetic flows after tsunami impact. The present thesis, using a three-dimensional incompressible computational fluid dynamics model with a fluid-structure interaction approach, aims to quantify how energy reflection and dissipation vary with different degrees of rigidity and vegetation density of a coastal forest.

In this study, tree trunks are represented as cylinders, and the elastic modulus of hardwood trees such as pine or oak is used to characterize …

Continuum Modeling Of Active Nematics Via Data-Driven Equation Discovery, Connor Robertson

Dissertations

Data-driven modeling seeks to extract a parsimonious model for a physical system directly from measurement data. One of the most interpretable of these methods is Sparse Identification of Nonlinear Dynamics (SINDy), which selects a relatively sparse linear combination of model terms from a large set of (possibly nonlinear) candidates via optimization. This technique has shown promise for synthetic data generated by numerical simulations but the application of the techniques to real data is less developed. This dissertation applies SINDy to video data from a bio-inspired system of mictrotubule-motor protein assemblies, an example of nonequilibrium dynamics that has posed a significant …

Deep Hybrid Modeling Of Neuronal Dynamics Using Generative Adversarial Networks, Soheil Saghafi

Dissertations

Mechanistic modeling and machine learning methods are powerful techniques for approximating biological systems and making accurate predictions from data. However, when used in isolation these approaches suffer from distinct shortcomings: model and parameter uncertainty limit mechanistic modeling, whereas machine learning methods disregard the underlying biophysical mechanisms. This dissertation constructs Deep Hybrid Models that address these shortcomings by combining deep learning with mechanistic modeling. In particular, this dissertation uses Generative Adversarial Networks (GANs) to provide an inverse mapping of data to mechanistic models and identifies the distributions of mechanistic model parameters coherent to the data.

Chapter 1 provides background information on …

V-Shaped Temperature Dependences And Pressure Dependence Of Elementary Reactions Of Hydroxyl Radicals With Several Organophosphorus Compounds, Xiaokai Zhang

Dissertations

Organophosphorus compounds have brought increasing attention since they are widely used as flame-retardants, which can take effect in combustion via reactions with reactive radicals. These reactions are influenced by variables such as temperature and pressure, resulting in a temperature and pressure dependent rate constant. Studying this reaction kinetics has great importance in both combustion reaction and atmospheric environment.

This study is focused on kinetics of several elementary reactions of combustion importance. The kinetics of hydroxyl radicals were studied using pulsed laser photolysis coupled to transient UV-vis absorption spectroscopy over the 295 - 837 K temperature range and the 1 - …

Development Of Non-Viral Nano-Carriers For Gene Delivery And Covid-19 Vaccines, Zhongyu Li

Dissertations

Gene therapy is one of the most promising medical fields with the potential to effectively advance the treatment of difficult diseases by producing therapeutic proteins or repairing defective gene sequences. However, gene therapy presents severe challenges in delivery including renal clearance, phagocytosis, enzymatic degradation, protein absorption, and cellular internalization barriers, which have been barriers for translation into the clinic. Naked nucleic acids, with their intrinsic negative charge, electrostatically repulse the anionic cell membrane, preventing cellular uptake. Also, they are considered foreign genetic material when introduced into the body and are rapidly cleared by the reticuloendothelial system or degraded by nucleases, …

Large-Scale And Meso-Scale Ion Dynamics Of The Near-Earth Space Environment, Matthew Cooper

Dissertations

The mechanisms whereby low energy (order of lOs to 100s of eV) solar wind and ionosphere sourced particles are accelerated to high energy (order of 10s to 100s keV) in the Earth's magnetosphere are a trending research topic due to impacts on radiation belt populations, coupling to the high-latitude ionosphere, and energy budgets for collision-less plasma in dipole fields. Ultra-low frequency (ULF, order of 1-100 mHz) Alfven waves observed in the nightside inner magnetosphere during geomagnetic activity are one such acceleration mechanism. Several source processes for these waves, including the micro-scale drift-mirror mode, have been previously suggested but observational evidence …

Topics On Asymmetric Classification, Subhrasish Chakraborty

Dissertations

Asymmetric classification refers to a situation where the cost of misclassifying one class is significantly higher than the cost of misclassifying the other class. This problem is common in many real-world scenarios, such as medical diagnosis or fraud detection. In this dissertation two of the common types of asymmetric classification problems have been dealt with — imbalanced classification and ordinal classification. An example of imbalanced classification is to detect fraudulent credit card transactions where the distribution of the normal and fraud transactions are extremely skewed. On the other hand, ordinal classification, also known as ordinal regression, is widely used in …

Molecular Simulations Of Mechanical Effects Of Adsorption In Gas And Liquid Phases, Alina Emelianova

Dissertations

Fluids adsorbing in nanoporous solids cause high pressures that affect the solids and the properties of the fluids themselves. This work explores the mechanical response of solids to the adsorption of gas and liquid. Chapter 1 outlines the current achievements in investigating the mechanical response of adsorbents to the adsorption process, specifically, the computational approaches to predict adsorption-induced deformation. Chapter 2 introduces the theoretical and computational methods employed in this work. Chapters 3-7 address the design and application of the computational techniques for such prediction in different systems: mesoporous silica, microporous zeolites, and metal-organic frameworks, and Chapter 8 focuses on …

Improving Recognition Of Depression Among The Adult Patients In Psychiatric Settings, Jane A. Ferraris

Dissertations

Depression rating scales may improve depressive symptom identification. At the project site, there was no consistent process for determining patients' depressive symptoms, so an evidence-based solution was sought. The purpose of this quality improvement project was to determine if the translation of Dunlop et al.'s research utilizing the Hamilton Depression Rating Scale-6 (HAMD-6) would impact the rate of identification of depressive symptoms and referrals to psychology for Cognitive Behavioral Therapy (CBT) among adult patients.

Academic Nursing Administrators' Experiences With Social Distancing During Covid-19: A Qualitative Study, Vineta Mitchell

Dissertations

The COVID-19 pandemic brought about many unpredictable challenges requiring flexible and adaptable solutions for higher education, especially in nursing academia. The COVID-19 pandemic challenged nursing academia, including academic nursing administrators (ANAs), to keep staff and students safe while mitigating the spread of the disease. The ongoing outbreak of COVID-19 and the global healthcare crisis of this generation led to the need for social distancing. As the number of deaths increased from the coronavirus, radical changes were adopted in the United States, including social distancing. The COVID-19 pandemic complicated the practical aspects of the practicum in nursing education as they questioned …

Relationship Between Social Support And Stress In Accelerated Nursing Students, Karen L. Bravo

Dissertations

Nursing program attrition rates and retention rates in the first year of professional practice are excessive due to stress. Investigating through this quantitative, correlative research study is due to the lack of information related to accelerated students and stress. Theories framing this study, the Transactional Model of Stress and Coping, and Triadic Reciprocal Determinism Theory, posit that the environment, whether internal or external, affects stress reactions. The research questions included relationships of Significant Other Support, Family Support, and Friend Support to Perceived Stress Score in a two-part online survey of 116 United States participants.

The Influence Of Childhood Familial Dysfunction On Emotional Well-Being And Substance Use Behaviors In Young Adults, Margaret Bullerjahn

Dissertations

Problematic substance use in young adulthood can lead to a variety of societal and individual consequences; therefore, it is important to understand risk factors contributing to its development. Although several individual and environmental factors can contribute to the development of substance misuse, the relationship between family dysfunction and emotional functioning in the prediction of substance use has been relatively understudied within this developmental period. The current study aimed to further understand how childhood family dysfunction, emotion regulation, and emotion reactivity aid in the development of young adult substance misuse. 405 young adults were surveyed about their childhood family experiences, current …

Simulation And Improving Clinical Judgment In Prelicensure Nursing Students: A Mixed Method Approach, Lizabeth J. Reents

Dissertations

Simulation has been considered a valid pedagogy for health professionals in education and actual practice. Its proper execution is vital for proper assimilation of knowledge, skills, and attitudes within the pre-licensure students throughout their curricular journey. High fidelity and multi-patient simulation scenarios were employed for beginner fundamental and advanced senior level nursing students with significant quantitative increases in clinical judgment found between groups using an independent t test and the Lasater Clinical Judgment Rubric (LCJR). The LCJR is based upon the Tanner's clinical judgment model and has been extensively used throughout the world demonstrating solid reliability and validity. Qualitative responses …

Mixed Method - How Do Medical-Surgical Nurses Provide Compassionate Care To Patients In The Face Of Adversity?, Diane D. Kret

Dissertations

Compassion is a quality that is the very essence of nursing. Nurses, as professionals, seek to alleviate suffering. It is through providing compassionate, connected care that nurses can relieve their patients' suffering. In the midst of adversity such as taking care of ill and dying patients, especially in the Covid-19 pandemic, nurses have been challenged with providing compassionate care despite the increased toll that this may have on them. There is evidence that exposure to these events can cause compassion fatigue and burnout. When these signs of compassion fatigue or compassion burnout are not addressed, nurses have decreased job satisfaction …