Digital Commons Network^™

The Body Of Christ And The Law: A Comparative Study Of Romans 7:4 And Galatians 2:19, Dominic Bornand

Dissertations

In Romans and Galatians, Paul refers to a spiritual death to sin (Rom 6:2) and to the law (Rom 7:4; Gal 2:19). As the means of the believer's death to the law, Paul mentions the "body of Christ" in Rom 7:4 and the "law" in Gal 2:19. These verses seem to suggest some sort of relationship between the body of Christ and the law, as well as between the law and sin. The purpose of this study is to determine the type of relationship between the body of Christ and the law, as well as between law and sin. The …

Evaluation Of Communication Sciences And Disorders Graduate Student Attitudes Related To Trauma-Informed Client Interactions, Jenica Joseph

Dissertations

Problem

Communication sciences and disorders (CSD) graduate students may have trauma histories and may be ill-equipped to identify and manage trauma responses in clients. This mixed-methods study examined graduate student attitudes towards implementing trauma-informed educational practice (TIEP) methods and trauma-informed patient care.

Method

The Attitudes Related to Trauma-Informed Care (ARTIC) Scale (Baker et al., 2016) quantitatively measured pretest/posttest changes in CSD graduate student attitudes towards use of trauma-informed care with clients. Participants (n=43) were assigned to non-equivalent experimental and control groups. Groups received the pre/posttest and either an immediate (experimental) or delayed (control) trauma-informed educational session. Twenty-one participants completed focus …

The Perceived Results Of Feedback And Evaluation Of Teaching Effectiveness On Adjunct Faculty Professional Development And Growth, Luda V. Vine

Dissertations

Problem

While full-time faculty at any institution of higher learning undergo an established system of evaluation of teaching effectiveness, adjunct faculty members' experience varies greatly from institution to institution. There is little in the relevant academic literature about an effective feedback mechanism for evaluating teaching effectiveness among adjunct faculty members. Limited qualitative research has been done to understand the effects of teaching evaluations on the professional development and growth of individual adjunct faculty members. Developing an understanding of effective evaluation of teaching that will result in improved adjunct faculty professional development and growth will impact not only the faculty members' …

Associating High School Science, Technology, Engineering, And Math (Stem) Course-Taking With Future Earnings For Non-Stem Employed High School Graduates, Beth Marchant

Dissertations

Problem

Due to the current resurgence of attention given to high school students' taking courses in Science, Technology, Engineering, and Mathematics (STEM), research was needed to examine whether a relationship between the number of STEM courses a high school student, who graduates from high school and works in a non-STEM field, completes and the success of that student 10 years later. One measure of student success, future earnings, can be measured quantitatively and is included in the Education Longitudinal Survey of 2002 (ELS:2002) data set, an ideal source of information to evaluate this issue (Institute of Education Sciences, 2019b).

Method …

The Struggles Black Women Face In Federally Qualified Community Health Centers In South Carolina: A Phenomenological Exploration Of Women In Leadership Positions, Sharon Black

Dissertations

This qualitative interpretive phenomenological study examined the professional lived experiences of Black women who hold leadership positions within Federally Qualified Community Health Centers (FQHCs) in South Carolina. The researcher examined their experiences through the lens of Belenky’s (1986) Ways of Knowing framework, focusing on self-expression, voice, and how the participants processed their leadership experiences. In addition, the study draws on Crenshaw’s Intersectionality and Black Feminist Post-structuralist theories. The study explores the difficulties, successes, and strategies these women use, focusing on stereotypes, challenges in leadership roles, diversity of experiences, and the importance of voice themes.

The study provides practical suggestions for …

A Computational Model Of Trust Based On Dynamic Interaction In The Stack Overflow Community, Patrick O’Neill

Dissertations

A member’s reputation in an online community is a quantified representation of their trustworthiness within the community. Reputation is calculated using rules-based algorithms which are primarily tied to the upvotes or downvotes a member receives on posts. The main drawback of this form of reputation calculation is the inability to consider dynamic factors such as a member’s activity (or inactivity) within the community. The research involves the construction of dynamic mathematical models to calculate reputation and then determine to what extent these results compare with rules-based models. This research begins with exploratory research of the existing corpus of knowledge. Constructive …

Application Of Shallow Neural Networks To Retail Intermittent Demand Time Series, Urko Allende

Dissertations

Accurate sales predictions are essential for businesses in the fast-moving consumer goods (FMCG) industry. However, their demand forecasts are often unreliable, leading to imprecisions that affect downstream decisions. This dissertation proposes using an artificial neural network to improve intermittent demand forecasting in the retail sector. The research investigates the validity of using unprocessed historical information, eluding hand-crafted features, to learn patterns in intermittent demand data. The experiment tests a selection of shallow neural network architectures that can expedite the time-to-market in comparison to conventional demand forecasting methods. The results demonstrate that organisations that still rely on manual and direct forecasting …

Probability Expressions In Ai Decision Support: Impacts On Human+Ai Team Performance, Elias Spinn

Dissertations

AI decision support systems aim to assist people in highly complex and consequential domains to make efficient, effective, and high-quality decisions. AI alone cannot be guaranteed to be correct in these complex decision tasks, and a human is often needed to ensure decision accuracy. The ambition is for these human+ AI teams to perform better together than either would individually. To realise this, decision makers must trust their AI partners appropriately, knowing when to rely on their recommendations and when to be sceptical. However, research has shown that decision makers often either mistrust and underutilise these systems, or trust them …

Modelling And Mitigating Interlocutor Confusion In Situated Human-Avatar And Human-Robot Interaction, Na Li

Dissertations

Human-Robot Interaction (HRI) is an important but challenging field focused on improving the interaction between humans and robots, to make the interaction more intelligent and effective. However, building a natural conversational HRI is an interdisciplinary challenge for scholars, engineers, and designers. Achieving successful conversational interaction with a social robot necessitates not only observing a user’s active participation in the interaction but also being aware of their emotional and attitudinal states as the interaction progresses. On the topic of attitudinal states, one field that has received little attention to date is monitoring the user for possible confusion states. Confusion is a …

Regulation Of Rare Genetic Variation In Human Disease, Carter Wright

Dissertations

Genomic technologies are used to analyze genetic information. The work described focused on multiple sequencing applications to evaluate the impact of genetic variation in patients with disease. Whole genome sequencing, RNA-sequencing, and ChIP-sequencing were performed to identify variants, understand gene expression, and determine the differences in chromatin structure that contribute to cellular and organismal phenotypes. My thesis work describes the use of computational tools to analyze genomic data with the goal of understanding acquired genetic and epigenetic variation in cancer as well as inherited variation associated with rare neurological disease. Whole genome sequencing yielded a diagnostic rate of 53 percent …

Contributions To Data Compression Research For Various Media Formats Using Particle Swarm Optimization And Neural Networks, Reetu Hooda

Dissertations

Advancement in high resolution devices used to capture images and videos has put strain on data storage and transmission. For their practical usage, efficient data compression techniques becomes essential. In this context, we conducted a study on compression of two media formats, including ROI maps of hyperspectral images, and 3D point clouds. For lossless compression of ROI maps, we proposed novel schemes that can achieve high compression ratios by partitioning the intricate regions of the image into smaller blocks. Our analysis of a linear predictive model applied on the original images showed that the resulting residual images tend to have …

Analysis Of Cryptic Variation Affecting Splicing In Early-Onset Mendelian Disease, Stephanie A. Felker

Dissertations

Genetic variants with poor annotation or unknown biological consequence are often systematically excluded in genomic analysis. Here I analyze variants near "poison exons” which are often absent from standard gene annotations and are alternative exons whose inclusion results in a premature termination codon. Neurodevelopmental disorders (NDDs) often result from rare genetic variation, but the genomic testing yield for NDDs remains around 50%, suggesting some clinically relevant rare variants may be missed by standard analyses. Variants that alter poison exons inclusion can lead to loss-of-function and may be highly penetrant contributors to disease. I analyzed variants found by genome sequencing in …

Understanding Advanced Practice Providers' Personal Factors That Influence Evaluating And Referring For Sleep Disorders In Pediatric And Adolescent Young Adult Cancer Survivors, Lindsay R. Melson

Dissertations

Pediatric and adolescent young adult (AYA) cancer survivors disproportionately experience sleep disorders compared to healthy peers. This dissertation examines the facilitators and barriers that influence advanced practice providers' (APPs) ability to evaluate and refer pediatric/AYA hematology oncology cancer survivors to sleep specialists. The first manuscript provides an integrative review of APPs' behaviors in screening for sleep disorders in pediatric/AYA cancer survivors using the Social Cognitive Theory as a guide. The second manuscript defines the concept of sleep disorders in pediatric cancer survivors using the Walker and Avant method. The third manuscript provides a qualitative analysis from interviews with hematology/oncology (heme/onc) …

A High-Speed Simulation And Cybersecurity Regression Testing Platform For Industrial Control Systems, Shelton Wright

Dissertations

Modeling and simulation techniques are used extensively in both industry and science. Individual parts of larger systems are typically modeled and simulated using different techniques and tools making it difficult to study the more extensively coupled heterogeneous system. In order to show the vulnerabilities of a physical system to cybersecurity risks, the complex interdependence between the cyber and physical systems must be modeled. This paper discusses the development of a high-speed high-fidelity Supervisory Control and Data Acquisition (SCADA) simulation platform that 1) enables regression testing of both cybersecurity applications and other SCADA applications and 2) enables the creation of data …

Bayesian Methods For Time-Delay Interferometry In Space-Based Detection Of Gravitational Waves, Jessica Page

Dissertations

Gravitational wave (GW) data analysis often necessarily includes limiting assumptions about detector noise and its response function during astrophysical parameter estimation. Here we take a broad look at the impact these assumptions can have across the GW spectrum, with an emphasis on Bayesian techniques for the future space-based Laser Interferometer Space Antenna (LISA) mission. Laser frequency noise (LFN) will be the dominant source of noise in the LISA mission at ~7 orders of magnitude greater amplitude than typical GWs. Time-delay interferometry (TDI) is the method for suppressing LFN to acceptable levels by linearly combining time-shifted measurements to digitally represent an …

Microphysical Examination Of Electrified Snowfall Events Using Goes Abi/Glm And Nu-Wrf, Sebastian S. Harkema

Dissertations

Much of the research using lightning, satellite, and numerical weather prediction model dataset involves the observation and prediction of warm season convection, whereas studies with regards to winter weather and heavy snowfall are sparse and nearly non-existent for electrified snowfall events. Single channel and multispectral composite satellite imagery were analyzed prior to lightning initiation in snowfall (i.e., thundersnow). Objectively tracked cloud features exhibited similar cloud-top brightness temperature and reflectance value changes – prior to thundersnow initiation – compared to cloud features associated with summertime lightning. Multispectral composite imagery – particularly the day cloud phase distinction – demonstrated consistent color changes …

Community-Based Early Dementia Advance Care Planning In The United States, Christine Noelle Flaherty

Dissertations

Dementia Advance Care Planning (ACP) promotes quality of life through discussions and decisions about goals of care and end-of-life wishes. However, ACP is rarely introduced in the community setting, and ACP is commonly deferred until advanced dementia when the patient can no longer communicate. The purpose of this three-manuscript dissertation was to advance the understanding of community-based early dementia ACP through an examination of the literature (manuscript one), the development of the dementia public health exposome conceptual framework (manuscript two), and the exploration of perceptions of ACP amongst dementia clinicians, dementia caregivers, and individuals with preclinical dementia in a dementia …

Improving Undergraduate Student Engagement In Stem Through Bioinformatics Research, Michele C. Morris

Dissertations

A novel intervention to introduce undergraduate students to bioinformatics, provide authentic research opportunities, and support student retention in science majors and careers is presented in the Characterizing Our DNA Exceptions (CODE) project. The need to increase the number of qualified STEM graduates, particularly in the fields of bioinformatics and computational research, was the impetus for this project that leads students down the path of scientific discovery as they characterize genomic variants of uncertain significance (VUS). This study sought to examine if student participation in a CODE research project would increase their bioinformatics awareness, interest, comfort, and knowledge, as well as …

Novel Approaches To The Analysis Of Gene Regulation Data, Brian S. Roberts

Dissertations

The study of gene regulation is crucial to understanding differentiation, cell specialization, and response to external stimuli observed in multicellular organisms. Genome-scale technologies enabled by high-throughput sequencing have allowed insight into many aspects of gene regulation. However, these techniques produce large, complex data that require the development of computation-based analytical techniques. I present here two analytical techniques that I have created for gene regulation data. First, I describe an approach for the analysis of sequencing-based reporter data that reveals new features of human genetic sequence that generate biased strand transcription even out of genomic context. Next, I present a package …

Modeling Freely Flying Insects Using A Strongly Coupled High Fidelity Numerical Framework, Jeremy A. Pohly

Dissertations

Flying insects, with their remarkable abilities, serve as fascinating sources of inspiration. Deciphering the complex mechanisms that enable monarch butterflies to migrate nearly 80 million times their body length, requires advanced modeling tools. These tools must capture the interplay between non-linear wing aerodynamics, dynamic body responses, and flexible wings, characteristics of the monarch. A novel framework is introduced that tightly integrates these physical phenomena through a dynamic relaxation scheme. The model’s application extends to examining the longitudinal flight of monarch butterflies and the hovering flight of fruit flies, bumblebees, and hawkmoths. A bio-inspired feedback controller ensures stable flight across all …

Model-Free Control Methods For Gait And Standing Push Recovery In Bipedal Humanoid Robots, Jerry Sweafford Jr.

Dissertations

This dissertation examines the use of model-free control methods in various aspects of effective balance and gait control for two-legged humanoid robots. It explores what it should mean to improve balance and gait control for robots and proposes gait fragility as an alternative framework to the prevailing yet undefined dynamic stability objective. Next, it presents techniques for trajectory tracking control without deriving dynamic models, using modifications of the conventional reinforcement learning approach. Finally, it explores the use of deep online reinforcement learning with disturbance and assistance curricula for learning standing push recovery in bipeds.

Professional Counseling/Psychotherapy And Its Influence On Emotional Intelligence And Authentic Leadership Development: A Qualitative Participatory Inquiry Research Study, Jenny Lee Broaddus

Dissertations

The authentic leadership theory acknowledges that leaders must advance their introspection to gain self-awareness, balanced processing, internal moral perspective, and relational transparency. Leaders may desire to lead effectively, yet modern leaders lack emotional intelligence, authenticity, and a vehicle to acquire (Northouse, 2019). Like authentic leadership, emotional intelligence is favored in leaders to include self awareness, emotional management, empathy, and relationship management (Goleman, 1995). Much research surrounds emotionally intelligent competencies in leadership, but limited research targets behaviors for development. A look at psychology and counseling revealed that self-awareness, a standard competency in authentic leadership and emotional intelligence, is also the primary …

Covid Implications For Southeastern States: A Thematic Analysis Of Influences From Leaders And Health Agencies Social Media Platforms, Jennifer Suber

Dissertations

The problem investigated in this study was the conflicting social media messages between the Office of the President and the two preeminent national health organizations (the Centers for Disease Control and Prevention (CDC) and the National Institute of Allergy and Infectious Diseases (NIAID) at the U.S. National Institutes of Health) regarding the COVID-19 crisis. The purpose of this study was to explore alignment and disconnect in the social media messaging between the Office of the President and the top two health organizations and subsequent state government decisions around the COVID 19 pandemic in the southeast region of the United States. …

By Chameleonic Means; "Trust Based" Philanthropic Relationships, "The Business Of Yes," As Experienced By Black Fundraisers, Novien Yarber

Dissertations

In the wake of society’s reinvigorated consciousness around structural and systemic racism, conversations centering justice, equity, inclusion, access, and cultural diversification are going far beyond political discourse. Contemporary fundraising practices are also challenging antiquated hegemonic ways of philanthropy and are critically examining the practice from within. Among many things, this entails diversifying the historically White-female dominated fundraising workforce. In this, fundraising literature has paid minimal attention to intercultural/cross-racial dynamics as implications of diversification of the fundraiser workforce. Although some research may center fundraisers themselves (relative to their ethical and/or professional standards), this dissertation expands this field of study by offering …

Applying Organizational Learning Theories To Continuous Improvement Practices Through Self-Study Methodology To Better Reflect Upon And Understand Factors That Influence School Improvement Efforts, Morgan Daniel Gallagher

Dissertations

The purpose of this self-study is to better understand and address the factors that influence continuous improvement efforts led by the researcher/practitioner. To this end, this study applies Bolman and Deal’s 4-frame model of organizational learning lenses to school improvement indicators on the Illinois 5Essentials Survey. Through taking Bolman and Deal’s Online 4-frame Self-assessment, I am able to identify the organizational learning lens least integrated into my own leadership worldview. The organizational learning lenses that comprise Bolman and Deal’s 4-frame model are the structural, symbolic, human resource, and political lenses. I then apply core tenets of my least integrated lens …

Reconstructing The Kantian Ends Of Reason: Holiness Analytically Entailing Beatitude In An Eternal Highest Good, Anthony Gudwien

Dissertations

This dissertation argues that an eternal highest good is the final end of sensible, rational agents. This final end occurs in a noumenal world – what I have labelled World Four – that has holiness analytically entailing beatitude. However, before meritorious moral agents are incorporated into this final noumenal world, they will exist in three prior worlds. World One is our current phenomenal world where sensible, rational agents can adopt a maxim to resolutely pursue holiness. World Two, which is made possible by the immortal soul postulate, is where sensible, rational agents continue their resolute pursuit in order to become …

Airborne Passive Microwave Geophysical Retrievals And Applications In Assessing Environmental And Aerosol Impacts On Maritime Convection, Corey G. Amiot

Dissertations

Improvements to NASA’s Advanced Microwave Precipitation Radiometer (AMPR) have yielded physically realistic brightness temperatures (T_b) from the Olympic Mountains Experiment / Radar Definition Experiment (OLYMPEX/RADEX) and Cloud, Aerosol and Monsoon Processes Philippines Experiment (CAMP²Ex). Multi-linear regression equations, developed to retrieve integrated cloud liquid water (CLW), water vapor (WV), and 10-m wind speed (WS), were tested using simulations, deconvolved AMPR T_b from OLYMPEX/RADEX, independent retrievals, and in situ data. Simulated retrievals yielded average CLW, WV, and WS root-mean-square deviations (RMSD) of 0.11 kg m^-2, 1.28 kg m^-2, and 1.11 m s^{-1 …}

Ultrafast Photoelectron Transportation In Gaas And Gaas-Based Devices, Rui Zhou

Dissertations

Gallium Arsenide (GaAs) is one of the most important semiconductors in the field of photonics and has been the focus of extensive studies since the 1960s. In particular, GaAs photonic devices such as GaAs diode lasers and GaAs photocathodes have attracted tremendous interest owing to their superb features and wide ranges of applications. Despite the success of past research, the advancement of new theoretical models and experimental techniques continues to offer new insights into the properties of GaAs and the potentials of GaAs photonic devices. The work presented in this dissertation represents our most recent effort towards understanding the ultrafast …

Reliable And Energy-Efficient 3d Nand Flash Storage System Design Using Run-Time Device And System Interaction, Md Raquibuzzaman

Dissertations

NAND Flash memory is a non-volatile solid-state data storage technology widely used in electronic devices such as smartphones, tablets, laptops, digital cameras, USB drives, solid-state drives (SSDs), autonomous vehicles, space applications, and data centers. NAND Flash memory-based SSDs are increasingly replacing the hard-disk drives (HDD) due to their high-density memory storage, low latency, low power consumption, and light weight. The NAND Flash memory has evolved from its planer 2D architecture to its contemporary 3D vertical layer architecture to meet the exponential storage demand. However, the 3D NAND architecture poses new reliability challenges, such as big block management, poly-Si-related read instability, …

Application Of Machine Learning Techniques For Traffic State Estimation, Pattern Recognition, And Crash Detection, Muhammad Usama

Dissertations

In the quest to optimize traffic management through machine learning (ML), this dissertation delves into three foundational areas: Traffic state estimation (TSE), traffic pattern classification, and traffic crash detection. The first facet of this dissertation focuses on TSE. Traditionally, TSE methods are categorized into two approaches: model and data-driven methodologies, each with its limitations. Data-driven ML models can falter with limited training data or misleading samples. Moreover, their “black-box” nature makes them hard to interpret. This research introduces a physics-based neural network (PINN) framework that combines the strengths of both TSE methods. The presented approach uses limited observational speed data …