Digital Commons Network^™

Improving Screening And Referral For Hereditary Cancers In New Breast Cancer Patients, Lisa J. Henczel

Dissertations

Breast cancer is a commonly diagnosed cancer in women. Early recognition and identification of those at risk for germline mutations have been difficult at the project site due to patients' lack of knowledge of their family cancer history, which is critical to improving access to the hereditary cancer program. The purpose of this quantitative, quasi-experimental quality improvement project was to determine if the implementation of Kiran et al.'s family cancer history nursing telephone prompt impacted screening and referral rates to the provincial hereditary cancer program among adult patients recently diagnosed with breast cancer at an urban outpatient cancer clinic located …

K-12 Teachers’ Retention Of Arts Integrated Professional Development, Roxane Mcwilliams

Dissertations

Arts integration is an interdisciplinary teaching model in which the arts become a conduit for the contextualization and understanding of non-arts content. Research has shown this approach increases academic engagement and content retention (Rinne et al., 2011). The use of arts integration also provides gains for teachers. Teachers perceive their practice more innovative and better able to reach the needs of diverse learners (Bellisario & Donovan, 2012). For the benefits of arts integrated learning to be achieved, teachers must acquire the knowledge and techniques of this teaching model. This requires knowledge in both arts content as well as the pedagogical …

Effects Of Adaptive Expertise On Counseling Self-Efficacy: The Mediating Role Of Adaptive Performance, Jiaying Meyer

Dissertations

Counseling and psychotherapy expertise research have been focused on three major areas, namely, characterization of Master Therapists, performance of Healing Involvement, and application of Deliberate Practice. The constructs of adaptive expertise and adaptive performance have never been investigated in the context of counseling or psychotherapy. Therefore, the purpose of this study is to examine the relevance of adaptive expertise in psychotherapy by studying the relationships between adaptive expertise, adaptive performance, and counseling self-efficacy. A total of 460 psychotherapy practitioners from a variety of disciplines and experiences participated in the study, and they included counseling, psychology, social work, and others with …

Phenomenological Study: The Perceived Impact Of The Intersectional Barriers Created By Gender And Race On African American Females’ Advancement To A Senior Executive Service Within The Federal Government, Nicole Oliver

Dissertations

Purpose. This phenomenological study aimed to investigate the perceived impact of intersectional barriers created by gender and ethnicity on the advancement of African American females to the Senior Executive Service (SES) corps of the United States federal civil service. Additionally, the study sought to identify strategies used by African American females to overcome these barriers because of intersectionality and advance to the SES corps of the United States federal civil service.

Methodology. This qualitative phenomenological study used a convenience sampling method to select eight African American females who have advanced to an SES position in the Washington, DC metropolitan area. …

Implementation Of Established Guidelines To Determine The Correlation Of Antipsychotic Use And Fall Rate Occurrence Amongst Inpatient Long-Term Care Residents, Cynthia L. Hardy

Dissertations

The use of psychotropic medications may impact fall rates among senior adults. Despite evidence-based approaches to minimize psychotropic medications use, the project site had a gap in implementing one leading to high fall rates. The purpose of this quantitative quasi-experimental quality improvement project was to determine if the implementation of the Center for Assisted Living Guidelines for Reducing the Use of Antipsychotic Medications in Nursing Homes would impact fall rates when compared to current practice among geriatric patients in a long-term care facility in rural New Mexico over four weeks. Neuman's Systems Model provided the theoretical underpinnings for this project.

Exemplary Senior Navy Female Leadership: A Study Of How Navy Female Leaders Use The Grit Characteristics Courage, Conscientiousness, Long-Term Goals, Resilience, And Excellence Versus Perfection To Create Extraordinary Results Within Their Organizations, Cache' Hapner

Dissertations

Purpose: The purpose of this phenomenological study was to identify and describe how exemplary senior Navy female leaders used five principles associated with grit (courage, conscientiousness, long-term goals, resilience, and excellence versus perfection) to accomplish extraordinary results in their organizations.

Methodology: This qualitative study used a phenomenological method to describe how eight senior Navy female leaders use five characteristics of grit to accomplish extraordinary results in their organizations. Respondents were purposively chosen. The researcher collected data through interviews, transcripts, and artifacts that were triangulated and coded for themes using NVivo software.

Findings: Exemplary senior Navy female leaders use …

Nursing Faculty Perceptions Of Stress, Coping, And Intent To Leave The Profession In The Ongoing Covid-19 Pandemic: A Quantitative Study, Lynlee Morgan

Dissertations

The COVID-19 pandemic impacted all of society to varying degrees; this impact was especially true in higher education due to an overnight transition to distance learning and incessant pivots to meet new guidelines and overcome obstacles. Nursing faculty were significantly impacted due to the responsibility of producing safe, qualified, competent practitioners to provide care in the clinical setting. The limitations in or exclusions from clinical experiences combined with the fact that faculty were managing personal concerns and had never encountered these unprecedented conditions exacerbated the challenge of preparing new nurses. This study was critical due to the faculty role and …

Exploring Employees’ Perceived Fairness And Effectiveness Of The Performance Appraisal Process And The Influence On Employee Retention, Cherica Buckner

Dissertations

The purpose of this study is to explore employees’ perceived fairness and effectiveness of the performance appraisal process and the influence on employee retention. This study is based on a review of existing literature on performance management strategies. Drawing upon equity theory (Adams, 1963), human capital theory (Becker 1962, 1993), organizational justice theory (Greenberg, 1987), and expectancy theory (Vroom, 1964), the researcher explores talent management concepts to reveal the influence of employees’ perceptions of performance appraisals on employee retention. Collectively the theories form a theoretical framework highlighting the importance of Human Capital Development, including the effectiveness of performance appraisals, effective …

Flourishing In A Non-Traditional Workplace Using Technology-Assisted Imagery, Wendi Lord

Dissertations

There is a new, non-traditional workplace where employees collaborate digitally from various remote locations (Scully-Russ & Torraco, 2020). Despite the transition from office to remote workspaces, professionals still value happiness and dream of flourishing (VanderWeele, 2021). Researchers identified six distinct but correlated dimensions of flourishing including emotional health, physical health, meaning and purpose, character strengths, social connectedness, and financial security (Weziak-Bialowolska et al., 2021). The new workplace is forcing organizations to revamp traditional methods that facilitate well-being as in-person methods become less viable (Scully-Russ & Torraco, 2020). Fortunately, mobile applications effectively deliver training and interventions (Collins et al., 2020). Whether …

Assessing And Characterizing Marijuana Use Disorders (Dsm-5) — National Survey On Drug Use And Health, United States, 2020, Alejandro Azofeifa-Ujueta

Dissertations

Despite that marijuana (cannabis) is still considered, under federal law, an illegal Schedule I drug, marijuana is the most commonly used illicit substance in the United States. National trend data has shown that the prevalence of marijuana use has increased over time, particularly among those aged 18 years and older. Some individuals can use marijuana without harm; however, long-term and heavy marijuana users may experience health consequences, including marijuana use disorders (addiction). For the last 20 years, existing national and statelevel epidemiological, surveillance, and research data have analyzed marijuana use disorders (MUD) using previous diagnostic criteria (DSM-IV). There is limited …

Development Of Modeling Tools To Determine The Effects Of Customer Diversification On Customer Lifetime Value Volatility In Higher Education, Oscar Neal

Dissertations

As societies become increasingly global the competition for customers continues to increase. In competitive markets, it is important to identify a process to acquire and retain the most profitable customers. To discriminate customers, it is important to understand the value different customers bring to an organization. Much research has been done modeling customer value using customer lifetime value, however, there is limited research on the effect current customer diversity has on future customer lifetime value of future customer portfolios.

In this dissertation, a Lifetime Value Model considering the interaction between customer diversity, revenue management, and customer lifetime value in an …

Design And Implementation Of An Efficient Priority Queue Data Structure, James A. Rhodes

Dissertations

Priority queues are one of the most useful data structures. Research to improve the efficiency of priority queues is on-going in the field of Computer Science. We have designed and implemented a priority queue based on buckets that improves the performance of applications that utilize min/max heaps. The data structure improves an application’s insertion time and deletion time, and thus its overall execution time. We demonstrate the performance improvements in a wide variety of applications. Every one of the applications that we implemented is well-known, and important in the Computer Science field. We also demonstrate that the performance gains over …

Socially Aware Natural Language Processing With Commonsense Reasoning And Fairness In Intelligent Systems, Sirwe Saeedi

Dissertations

Although Artificial Intelligence (AI) promises to deliver ever more user-friendly consumer applications, recent mishaps involving fake information and biased treatment serve as vivid reminders of the pitfalls of AI. AI can harbor latent biases and flaws that can cause harm in diverse and unexpected ways. It is crucial to understand the reasons for, mechanisms behind, and circumstances under which AI can fail. For instance, a lack of commonsense reasoning can lead to biased or unfair decisions made by Machine Learning (ML) systems. For example, if an ML system is trained on data that is biased or unrepresentative of the real …

Design, Simulation, Modeling, And Implementation Of Triboelectric Nanogenerator (Teng) Sensors For Automotive Applications, Sam Ali

Dissertations

Triboelectricity is a promising technique for energy harvesting in which mechanical energy converts to electricity for powering small electronic devices. This method of energy harvesting serves as an alternative to traditional battery power sources and can significantly benefit low-power sensing applications by generating unlimited electrical energy. This study focuses on the development of flexible triboelectric nanogenerators (TENG) and energy harvesting devices for various applications in the automotive industry.

The study is organized into four projects. In the first project, various polymeric materials were used to investigate the performance of different TENGs. Four designs (D1, D2, D3, and D4) of flexible …

Experiences Of Female Muslim International Graduate Students With Children In The U.S.: Strategies To Cope With Academics And Family Life, Nizoramo M. Haitova

Dissertations

The literature on adult students, and in particular, graduate students with children, reveals that female students often struggle to balance their studies and home life due to juggling multiple roles. To date, research on student mothers has primarily focused on domestic students, with few studies examining the experiences of international student mothers, and even fewer studying Muslim international student mothers. The purpose of this study was to understand the lived experiences of female Muslim international graduate students with children in the U.S., as well as to explore the coping strategies they employ in both academia and family life. Thus, the …

Essays On Agglomeration Economies And Industrial Clusters, Ahmad Aswin Masudi

Dissertations

This dissertation explores the role of agglomeration economies in Indonesia’s manufacturing sector. In three chapters, I utilize different methods from three different perspectives.

The first chapter explores the role of localization and urbanization economies in manufacturing firms’ location decisions using Indonesia’s Industrial Survey from 2003 to 2013. The mixed conditional-multinomial logit model results indicate that, despite the small magnitudes, localization economies do attract firms. However, urbanization economies seem to discourage firms. On the other hand, sectoral-weighted import content has proven to be one of the most prominent attractors of firms, except for medium technology firms in Java. For foreign firms …

Student Experience And Learning In A Course-Based Undergraduate Research Experience, Allison Witucki

Dissertations

Scientific research is advocated as an important experience for undergraduate STEM majors. Involving undergraduates in research early on in their educational careers can potentially prevent attrition and encourages students to pursue post-graduate education and careers within the field. However, research opportunities for undergraduates can be difficult to obtain. Many students may not realize that research opportunities exist, or there is limited availability for undergraduates to work in a faculty member’s research laboratory. Luckily, an educational model for involving scientific research in a course, also known as a Course-based Undergraduate Research Experience (CURE), can provide more widespread opportunities for students to …

Advanced Materials For High Performance Lithium-Sulfur Batteries, Jian Yang

Dissertations

With the advantages of high capacity and low cost, lithium-sulfur batteries (LSBs) have been considered as one of the most promising candidates for next-generation batteries. However, the wide adoption of LSBs to the commercial markets is limited due to the fast capacity decay and low utilization of sulfur. To address these issues, advanced cathodes with high electronic conductivity and strong affinity to elemental sulfur and lithium polysulfides, which are intermediate products during the charge/discharge process, have been developed in this program. Carbon aerogels (RFCs) with controllable porous architectures have been fabricated through adjusting the process parameters and used as the …

Approximate Computing Based Processing Of Mea Signals On Fpga, Mohammad Emad Hassan

Dissertations

The Microelectrode Array (MEA) is a collection of parallel electrodes that may measure the extracellular potential of nearby neurons. It is a crucial tool in neuroscience for researching the structure, operation, and behavior of neural networks. Using sophisticated signal processing techniques and architectural templates, the task of processing and evaluating the data streams obtained from MEAs is a computationally demanding one that needs time and parallel processing.
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/="/">This thesis proposes enhancing the capability of MEA signal processing systems by using approximate computing-based algorithms. These algorithms can be implemented in systems that process parallel MEA channels using the Field …

Ab-Initio Investigation Of 2d Materials For Gas Sensing, Energy Storage And Spintronic Applications, Saba Khan

Dissertations

The field of Two Dimensional (2D) materials has been extensively studied since their discovery in 2004, owing to their remarkable combination of properties. My thesis focuses on exploring novel 2D materials such as Graphene Nanoribbon (GNR), holey carbon nitride C₂N, and MXenes for energy storage, gas sensing, and spintronic applications, utilizing state-of-the-art techniques that combine Density Functional Theory (DFT) and Non-Equilibrium Greens Functions (NEGF) formalism; namely Vienna Ab-initio Simulation Package (VASP) and Atomistic Toolkit (ATK) package.
/="/">Firstly, on the side of gas sensing, the burning of fossil fuels raises the level of toxic gas and contributes to …

Metal Oxide Based Materials For High Performance Supercapacitors, Hammad Mueen Arbi

Dissertations

Recent years have seen a healthy rise in the research and development of sustainable and renewable energy storage systems due to the pressing need to conserve natural resources and cut energy use. Due to the rapid growth in global population lately, there is a tremendous demand for energy to fulfill the ever-increasing needs. Innovative alternative energy sources and energy storage techniques are of tremendous interest for dealing with these current world issues. One promising solution for this is the recent research trend for achieving reliable and cost-effective high power and high energy density energy storage devices. On the basis of …

Integrated Experimental And Dft Study Of Palladium And Nickel Metals Supported On Reducible Metallic Oxides For Selective Hydrogenation Of Alkynes And Dienes Bonds, Toyin Daniel Shittu

Dissertations

This dissertation investigates the capacity of ceria (CeO₂) to serve as a stand-alone reactive catalyst, and to act as catalyst support for different catalyst configurations. Experimental and density functional theory (DFT) approach were used to critically predict and to design ceria-containing catalysts. Ceria owes the catalytic propensity to the ability to undergo switch in the oxidation state from the +4 to +3 states. Motivated by experimental studies involving CeO₂ catalysts, defects CeO₂ surface with an oxygen vacancy (CeO2(111)_Vo) was used to explore the decomposition chemistry of methanethiol based on DFT. The potential formation pathways revealed that …

Coordinated Location And Capacity Planning Of Fast Charging Stations For Electric Vehicles Using Multi Objective Approach, Asna Madathodika

Dissertations

With the growing concerns on the energy depletion and CO₂ emissions, electric vehicles (EVs) have marked a new paradigm in the transport sector. Installation of publicly accessible charging stations (CS), namely fast CSs are crucial for the large-scale deployment of EVs. However, randomly placing CSs without prior research affect EV owners, CS operators and grid operators. For instance, the location and size of charging stations affect the accessibility and convenience of EV users since users prefer charging stations that are easier to access without much traffic congestion in road networks. At the same time station should offer good service …

Optimal Component Sizing And Control Of A Multi-Source Elecctric Vehicle Based On An Improved Optimization Algorithm And A Novel Energy Management System, Prasanthi Achikkulath

Dissertations

Electric vehicles (EVs) are considered the ultimate solution for a sustainable transportation alternative to reduce the global warming and energy crisis. The public's perception of EVs is still adverse despite advancements in EV technology because of issues with driving range, high initial costs, the added weight of the energy source, and an unpredictably short lifespan of the EV system. To administer the same performance as compared to modern fossil fuel-based vehicles, hybridization of multiple energy sources is significant for EVs. The most pressing issues with multi-source EVs are optimum source sizing and regulating power flow from hybridization sources with the …

Pathogen Risk Assessment On Arabian Felines In The United Arab Emirates, Laia Montserrat Stefano

Dissertations

The Arabian Peninsula has been known to harbour five species of felines, namely leopards (Panthera pardus), cheetahs (Acinonyx jubatus), caracals (Caracal caracal), sand cats (Felis margarita), and wildcats (Felis silvestris). Currently, their situation in the wild is critical in the region and ex situ breeding efforts are the greatest hope to restore their populations. However, these efforts need to go hand-in-hand with focus on their health, since pathogens are known to be a serious threat to animals under managed care. Globally, the potential pathogens of these five species include viruses, …

Structural Integrity Assessment Of Shell And Tube Heat Exchanger Tube-To-Tubesheet Joints Fabricated Using Conventional And Nonconventional Manufacturing Processes, Dinu Thomas Thekkuden

Dissertations

Tubes and tubesheets, integral components of shell and tube heat exchangers, have an important role in the functioning of the heat transfer between the tube-side and shell-side fluids. Tube-to-tubesheet joints act as a barrier to prevent the mixing of the transfer fluids in addition to aiding the structural rigidity of the shell and tube heat exchanger. Tube expansion process and welding are the manufacturing processes used for fabricating structurally rigid tube-to-tubesheet joints. Many instances of tube-totubesheet joint failures leading to the complete collapse of the heat exchangers demand attention to assessing the mechanical and metallurgical characteristics of tube-totubesheet joints fabricated …

Capturing Maximum Photovoltaic Power With Machine Learning: Maximum Current Prediction, Mppt Methodology, And Adjustable Ml-Based Controller, Zahi Mohamed Mohamed

Dissertations

The primary aim of this doctoral thesis is to examine the potential application of machine learning (ML) in optimizing Maximum Power Point Tracking (MPPT) and devising a flexible ML-based controller for photovoltaic (PV) systems. The lack of MPPT mechanisms leads to fixed voltage and current points for PV modules, resulting in substantial power loss when environmental conditions vary. The limitations of conventional and enhanced MPPT methods, as well as finding an alternative controller to classical Proportional-Integral (PI) controllers, have spurred the search for substitute approaches to maximize PV power. To address these limitations, this thesis proposes using ensemble ML techniques, …

Nano-Supported Biocatalysts For Efficient Wastewater Remediation, Khadega Abobaker Al-Maqdi

Dissertations

The existence of various bioactive organic pollutants in wastewater and municipal water sources has raised concerns regarding their potential effects on human health. As a result, different techniques are being explored to effectively break down these persistent organic pollutants. Peroxidases have recently emerged as a new approach to remediation that may have advantages over traditional methods. However, evaluating the effectiveness of different peroxidases in breaking down various emerging pollutants can be time-consuming and difficult. In this study, a quick and reliable method was developed to test the degradability of 21 emerging pollutants by five different peroxidases (soybean peroxidase, chloroperoxidase, lactoperoxidase, …

Lax Integrability And Solution Methods For The Nonlinear Schrödinger Equation With External Potentials: Exact Solutions And Applications, Laila Yahya Al Sakkaf

Dissertations

The investigation of a nonlinear differential equation (NLDE) integrability is the foundation for understanding and predicting the behavior of systems that are governed by that NLDE. The existence of a Lax pair (LP) representation is a reliable indicator of the indicator of the integrability of an NLDE. If an NLDE admits an LP, it is considered integrable in the LP sense, and this has important implications for the behavior and solutions of the system. The LP plays a crucial role in many powerful analytical solution methods for solving NLDEs. One such method is the Darboux transformation (DT), which allows for …

Effectiveness Of A Nurse Leader Mentorship And Support In The Acute Care Setting: A Program Evaluation, Kymberlee Shutts

Dissertations

A solution to rising nurse leader attrition may include focused mentorship into the role. A health system in Northeast Florida developed a nurse leader mentorship program for nurses who were new to the leader role or new to the organization during the coronavirus disease of 2019 pandemic. This nurse leader mentor program was designed to help new nurse leaders feel more comfortable in the role and create a relationship with a mentor. In the program, a full-time Nurse Mentor was assigned to meet with new nurse leaders periodically over the first year in their role. The nurse mentor program aimed …