Digital Commons Network^™

High Risk Medication Regimens And Medication Related Predictors Of Hospital Readmission In Elderly Home Care Patients, Mary T. Dierich

Dissertations

Adverse drug events are a primary cause of hospitalization in the elderly. Nearly 70% of the $177.4 billion dollars spent on drug related morbidity and mortality in the U.S. is due to hospitalizations. Polypharmacy, inappropriate medications or medication regimen complexity have all been implicated as precursors to adverse drug events and as indicators of high risk medication regimens. Understanding the relationship between medication regimens and readmission is important when evaluating potential errors in administration, risk-benefit ratios, and readmission risk. However, due to definitional and measurement issues, the high risk medication regimen remains an elusive concept. This study characterizes medication regimens, …

Using Evidenced-Based Practice To Increase Knowledge And Awareness Of Sexually Transmitted Infections, Amanda M. Brickey

Dissertations

The purpose of this quality improvement (QI) project is to increase the knowledge and intent to change practice through education on the importance in assessing sexual health history in patients at a federally qualified health center (FQHC) in Western Washington State by providing continuing education to primary care providers.

Remote Vibration Based Monitoring Of Bridge Scour, Alan Kazemian

Dissertations

The gradual erosion of the sediment around a bridge foundation is called Scour. This erosion is caused by water flow and increases during times of high-water flow such as flooding. The scour leaves the bridges structurally unsound over time and jeopardizes the safety of the structure. Approximately 60 percent of bridge failures in the United States are caused by scour. A variety of types of devices have been used to detect scour. Most of these devices only observe the scour and not the structural integrity of the bridge. The typical approach has relied on visual inspections of the bridges after …

3d Automated Surgeon’S Hand Motion Assessment Using A Cascade Fuzzy Supervisor During Intelligent Box-Trainer System Skills Training In A Multi-Thread Video Processing, Fatemeh Rashidi Fathabadi

Dissertations

For certain surgical procedures, Minimally Invasive Surgery (MIS) has become more advantageous than traditional open surgery. Therefore, mastery of laparoscopic skills is an essential component of surgical training and requires considerable time and effort. The Fundamentals of Laparoscopic Surgery (FLS) program has been developed as a tool to improve and assess fundamental surgical skills. In fact, using a low-cost Box-Trainer or a simulator, laparoscopic surgeons are required to train using a set of structured tasks that can be objectively used to assess their laparoscopic skills, which must be mastered before carrying out real-life laparoscopic procedures. These tasks include peg transfer, …

Creating Advanced Processes Through Utilizing Renewable Eutectics For Gas Capture And Separation, Ahmad Mohammad Rasheed Al-Bodour

Dissertations

Global efforts to reduce emissions of environmentally harmful gases have intensified, with carbon dioxide (CO2) being identified as the most significant greenhouse gas and a key target for reduction strategies. Carbon dioxide (CO2) has the highest potential of threatening the environment. It is recognized as one of the greenhouse gases which has the potential of negative effects on the human being, atmosphere, and the environment. Even though CO2 gas has negative effects but at the same time it has high potential to be exploited in beneficial ways. For instance, CO2 is used in the energy field to produce the so-called …

Quasi-Monte Carlo Estimation For Functional Generalized Linear Mixed Models., Ruvini Kumari Jayamaha Hitihamilage

Dissertations

Functional Data Analysis (FDA) is a topic of growing interest in the statistics community and is applied in a wide range of fields such as Anthropology, Epidemiology, Meteorology, Neurology and Engineering. The data in FDA are smooth curves or surfaces in time or space which can be conceptualized as functions. Because of the smooth nature of the data and the measurements are highly correlated, making the classical methods such as univariate or multivariate analysis are infeasible for such data. Functional data Analysis (FDA) deals with these kinds of more detailed, complex, and structured data.

In this dissertation, we propose a …

Long Covid Patients: A Phenomenology Study Exploring Mental Health And Psychosocial Adaptation To Disability, Tonia Joy Lans

Dissertations

In the United States, approximately 1 in 13 long COVID patients experience adverse complications two to three years post-recovery (Centers for Disease Control and Prevention, 2022), including physical, psychological, and cognitive impairment, issues with daily functioning, and difficulties returning to work (del Rio et al., 2020; Greenhalgh et al., 2020; Ladds et al., 2020; Logue et al., 2021). Moreover, collective research has indicated the debilitating complications of long COVID often result in impaired mental health, chronic illness, and disability. While significant research efforts have started to accumulate data to understand and treat the physical and neuro-logical manifestations of this chronic …

Estimating And Applying Parameters Necessary To Plan Cluster Randomized Trials (Crts) And Multisite Cluster Randomized Trials (Mscrts), Dea Mulolli

Dissertations

Cluster randomized trials (CRTs) are commonly used to study the effectiveness of educational interventions. During the design phase of a study, it is critical for researchers to ensure their studies are adequately powered to detect meaningful treatment effects, including both main and moderator effects. Designing CRTs with adequate power to detect main and moderator effects requires accurate estimates of design parameters. This research aims to advance the literature on design parameters for power analyses, specifically focusing on empirical estimates of intraclass correlations (ICCs). The work consists of three research papers that examine the role of including the teacher level in …

A Microgenetic Learning Analysis Of Contextuality In Reasoning About Exponential Modeling, Elahe Allahyari

Dissertations

This work explores the complex cognitive processes students engage in when addressing contextual tasks requiring linear and exponential models. Grounded within Piagetian constructivism and the Knowledge in Pieces (KiP) epistemological perspective (diSessa, 1993, 2018), this empirical study in a clinical setting develops a Microgenetic Learning Analysis (MLA) of the reasoning of 14 students from an Algebra II course. It reveals the critical role of cognitive disequilibrium as an essential cognitive state for conceptual development and the process of reorganizing knowledge systems. The study uncovers the fluctuations in students’ reasoning patterns and the significant impact on students’ reasoning patterns of task-specific …

The Synthesis, Characterization, And Application Of Polysaccharide-Based Additive To Improve Wet And Dry Strength And High-Barrier Properties Of Paper Products, Cornellius Marcello

Dissertations

Paper products play an essential role in our daily lives owing to their low cost, environment-friendly character, renewability, and recyclability. Paper manufacturers have been using petroleum-based strength additives (cPAM, GPAM, PAE) to meet the perceived needs of customers. On the other hand, paper produced from cellulose is hydrophilic and porous, leading to shallow water and grease resistance, causing paper manufacturers to use many kinds of coating materials such as poly-fluoroalkyl substances (PFAS) and synthetic plastic to improve water resistance, especially for food packaging paper products like cups, plates, food boxes, and packaging. However, PFAS are identified as likely carcinogenic to …

A Model For Spacecraft Relative Motion Using Continuous Periodic Thrust, Philip Alan Hittepole

Dissertations

A model for modifying the relative orbit of a deputy satellite with respect to a chief satellite in a near-circular orbit using continuous periodic thrust is presented. This model is built on the Lovell-Spencer relative orbital elements (ROEs). The four linear ROEs (xr, yr, ar, and Az) can be linearly modified. The two angular ROEs (Er and ) can be set to advance at a desired, constant rate. Each ROE can be modified individually but may cause intra-orbit variations in other ROEs which return to their original values at the end of a thrust cycle. A method to easily calculate …

Persistence Of Female Faculty In Stem, Andrea Constantinou

Dissertations

The lack of women entering certain STEM fields impacts female representation in research faculty, teacher faculty, and leadership positions in higher education. Through a narrative inquiry methodology utilizing the theoretical paradigms of self-determination theory and relational autonomy, this study extended understanding of the factors that motivate persistence for women in certain STEM fields. While prior research focused on understanding the barriers to retention, this study sought to identify the factors motivating retention for women in certain STEM fields. The results of this study contribute to understanding the motivating factors that influence a woman’s persistence in STEM. The data gathered from …

Exploring Secondary Teachers' Digital Curricular Autobiographies As A Path Towards Digital Equity: A Currere Journey, Douglas S. Vandyke

Dissertations

Combining a narrative approach with portraiture and theoretically framed by reconceptualism and critical digital pedagogy, this study explores participants’ beliefs about and experiences using information and communication technologies (ICT) for learning. It also explores participants’ understanding of digital learning as essential to educational equity in a postdigital society. Participants were secondary teachers serving socio-economically marginalized Black and Latinx students across four public high schools in Chicago. Through a series of semi-structured interviews each constructed a version of their digital curricular autobiography (currere). Through this reflection, participants recalled their own experiences being excluded from learning which contributed to their …

A Convergent Parallel Mixed Methods Examination Of The Impact Of Graduate Student Loan Balances On Overall Quality Of Life Among Clinical Psychologists With Psyd Degrees, Lekai James

Dissertations

Graduate student loan debt in psychology, particularly for those with Doctorate in Psychology (PsyD) degrees in clinical psychology, is highly problematic. Previous research has shown that student loan debt negatively impacts quality of life (QOL) by affecting subjective well-being (SWB) and life satisfaction (LS). This study used a convergent parallel mixed method approach, guided by bottom-up spillover theory and Maslow’s hierarchy of needs, to explore the relationship between QOL and total graduate student loan balances, as well as the effects of income and monthly student loan payments on QOL among PsyD graduates. Participants (N = 16) completed a survey with …

Printed Graphite Electrodes For Fast-Charging Lithium-Ion Batteries, Guanyi Wang

Dissertations

The rapid growth of the electric vehicle (EV) market has demanded lithium-ion batteries (LIBs) with high energy density and fast charging capability. However, charging energy-dense LIBs with thick graphite electrodes at high current densities is typically facing challenges and leading to adverse performance, such as low energy density, short cycle life, rapid temperature rises and safety issues. The root cause is the onset of Li plating. During fast charging application, the sluggish lithium ions accumulated at the surface of graphite due to kinetic limitation and formed Li plating, especially when lithiated to a high state of charge (SOC). It has …

A Quantitative Analysis Of University Counselors And Student Affairs Personnel's Knowledge And Confidence In Working With Students With Autism Spectrum, Sandra Araiza Salazar

Dissertations

University counselors and student affairs personnel often find themselves unprepared to address the needs of undergraduate students with autism spectrum disorder. Many of these professionals are not receiving the proper training or education to prepare for the unique social, emotional, and academic needs of these neurodiverse students. Due to this trend, many university counselors and student affairs personnel may lack the necessary knowledge and confidence in serving this neurodiverse population. In this first-of-its-kind study, university counselors and student affairs personnel’s knowledge and confidence in working with undergraduate students with autism spectrum was analyzed. A nonrandom sample of university counselors and …

Produced Water Management From Production Sites In The State Of Kuwait, Feras Adel Alsalem

Dissertations

Extraction of crude oil also produces large volumes of water, termed produced water (PW). PW is by far the most significant by-product in the process of extracting hydrocarbons from the subsurface. Consequently, managing PW has become a great concern to oil and gas producers. The increasing amounts of PW and more stringent environmental and safety regulations in regard to PW make more efficient treatment methods necessary, where sustainable long-term solutions for PW management need to be provided. The focus of this study is on PW from onshore operations as the majority of the oil and gas extraction operations (upstream processes) …

Development Of Highly Efficient Hybridfunctionalized Membranes For Sustainable Water Harvesting, Ahmed Z. Abuibaid

Dissertations

Water scarcity has emerged as a critical global challenge. This problem catches the world's interest through events such as the severe drought in Europe during the summer of 2022. While desalination plants offer a solution, their high energy consumption necessitates the exploration of alternative, sustainable water resources. Addressing the urgent need for alternative water resources in the face of increasing water scarcity. A viable option was presented by fog harvesting, which is a method to collect water from atmospheric fog. This method was initially developed to meet the demands of a variety of sectors such as agricultural purposes, and household …

Design, Synthesis And Characterization Of Zinc And Gold-Based Metal Organic Frameworks And Complexes For The Detection And Treatment Of Cancer, May Reda Mohamed

Dissertations

The early detection of cancer plays a pivotal role in improving patient outcomes, emphasizing the urgent need for highly sensitive and selective biosensing platforms. Metal-Organic Frameworks (MOFs) have emerged as promising candidates in this domain due to their tunable properties, large surface area, and high porosity. Herein, the utilization of zinc-based MOF as a sophisticated biosensing platform tailored for the precise detection of the HER2 cancer biomarker is presented. HER2, a critical protein marker in breast cancer diagnostics and treatment, demands highly selective and accurate detection methods for effective patient management. Simple hydrothermal synthesis methodology has been adopted to synthetize …

Connections Through Stories In A Small Town In Rural Virginia, Andrea Plamondon

Dissertations

Stories are powerful tools used for centuries to entertain, teach, empower, and build community. Neuroscience research shows that stories impact the brain in ways that allow us to increase empathy and connect with people (What Happens in the Brain When We Hear Stories?, n.d.; Yang, 2014; Zak, 2015). Community Psychologists have used stories to collect qualitative data and life experiences to create or change a community narrative and address community trauma (Hyman, 2002; Rappaport, 2000). While existing research describes the power of stories and provides storytelling techniques, this research study identified a new method – The Community Story …

Implementing And Evaluating Social-Emotional Learning Through Inquiry Research And Best Practice, Nada Abid

Dissertations

Previous research has provided insight into the benefits of incorporating social-emotional learning (SEL) into the classroom, such as in the area of academic performance. As Jones et al. (2018) explained, “Children who can effectively manage their thinking, attention, and behavior are also more likely to have better grades and higher standardized test scores” (p. 15). I designed this research to examine the implementation of an SEL program and evaluate its effectiveness. The school’s multi-tiered system of supports(MTSS) team worked to implement the SEL program in the classrooms and chose two classrooms in which to pilot the program. The evaluation involved …

A Program Evaluation Of The Necessary Attributes, Accommodations, And Resources Neurodivergent Students Require For Success In Higher Education, Barbara Muñoz

Dissertations

Without academic resources and accommodations, neurodivergent students with mild to moderate Learning Disabilities (LD) may be unable to navigate the academic challenges and rigor associated with college success. I used a mixed-methods research design to collect data from various stakeholders to determine the supports neurodivergent students with LD need to be successful in college. My findings indicated students need accommodations for their learning differences, access to assistive technology, access to counseling or mental health services, and access to specialized support personnel to be successful. I recommended a policy to ensure neurodivergent students and their caregivers are aware of post-secondary institutions …

A Program Evaluation Of 3de Schools By Junior Achievement, Audra Lewis-Hoesch

Dissertations

3DE Schools by Junior Achievement is a framework for instruction designed to reshape the instructional ecosystem through a high school model that uses project-based learning and case-study methodology to help students acquire core competencies. The context of this inquiry includes various states in America where 3DE Schools are implemented. I utilized a mixed methods approach to collect data and gauge the influence of the 3DE instructional framework on students' readiness for college and career pursuits. Key outcomes showed that students in 3DE cohorts scored higher in math and English than the national average, contributing to an overall higher graduation rate …

Empirical Exploration Of Software Testing, Samia Alblwi

Dissertations

Despite several advances in software engineering research and development, the quality of software products remains a considerable challenge. For all its theoretical limitations, software testing remains the main method used in practice to control, enhance, and certify software quality. This doctoral work comprises several empirical studies aimed at analyzing and assessing common software testing approaches, methods, and assumptions. In particular, the concept of mutant subsumption is generalized by taking into account the possibility for a base program and its mutants to diverge for some inputs, demonstrating the impact of this generalization on how subsumption is defined. The problem of mutant …

Sustainable And Cost-Effective Work Zone Scheduling On Two-Lane Highways With Managed Lanes, Ahmed Z. Edrees

Dissertations

Roadway maintenance projects greatly influence the roadway capacity, resulting in potential traffic disturbances captured by delays. Additionally, costs associated with these projects tend to be exorbitantly extensive. Most agencies and planners try to find a solution that minimizes roadway maintenance costs, traffic delays, crash risks, and environmental impact.

Work zones on two-way two-lane roadway typically avoids high-demand periods. Lane-closure scenario is commonly used and converts the open lane into a phantom intersection, alternating two-direction movements on one lane with the help of a flagger or a temporary signal. Alternatively, using shoulders as temporarily managed lanes allows for simultaneous two-way movements …

Network Slicing And Noma Enabled Mobile Edge Computing For Next-Generation Networks, Mohammad Arif Hossain

Dissertations

The advent of next-generation wireless networks ushers in a new era of potential, harnessing cutting-edge technologies like mobile edge computing (MEC), non-orthogonal multiple access (NOMA), and network slicing as pivotal drivers of transformation. Within this landscape, an innovative approach is proposed by introducing a NOMA-enabled network slicing technique within MEC networks. This approach aims to achieve multiple objectives: meeting stringent quality of service requirements, minimizing service latency, and enhancing spectral efficiency. By seamlessly integrating NOMA with network slicing in edge computing environments, significant reductions in overall latency are achieved, alongside ensuring optimal resource allocation for NOMA users. To address these …

Integrating Laser Charging And Drones For Secure Edge Computing, Weiqi Liu

Dissertations

Drone-mounted base stations (DBSs) have emerged as a promising solution to enhance the flexibility and coverage of wireless networks, potentially revolutionizing communication systems. This dissertation explores the integration of DBSs into 5G and beyond networks, focusing on methodologies to optimize their deployment and performance. A laser charging-enabled DBS framework is proposed to extend flight time and enhance network coverage. By leveraging laser charging technology, the DBS can receive continuous energy transmission from a ground-based charging station while providing communication services to users. The framework is formulated as an optimization problem to jointly maximize flight time and communication data rate, while …

Computational Microscopy For Biomedical Imaging With Deep Learning Assisted Image Analysis, Yuwei Liu

Dissertations

Microscopy plays a crucial role across various scientific fields by enabling structural and functional imaging with microscopic resolution. In biomedicine, microscopy contributes to basic research and clinical diagnosis. Conventionally, optical microscopy derives its contrast from the amplitude of the optical wave and provides visualization of the physical structure of the sample qualitatively. To understand the function at the cellular or tissue level, there is a need to characterize the sample quantitatively and explore contrast mechanisms other than light intensity. Image enhancement or reconstruction from microscopic imaging systems is known as computational microscopy, and it involves the application of computational techniques …

Interaction Of Particles With Plasma And Shock Produced By Pulsed Spark Discharge, Shomik Mukhopadhyay

Dissertations

Interactions of powders with high-temperature plasma and shockwaves occur in diverse scenarios, such as nuclear blasts, accidental industrial dust explosions, solid propellant combustion in explosive charges and when removing contaminants from surfaces. Electrostatic Discharge (ESD), known for generating shock and plasma, is a promising lab-scale technique for simulating these interactions. Studies with ESD involved placing powders near a spark-producing gap between electrodes and observing mechanical and chemical processes like particle motion and ignition. A limited range of spark conditions and material properties have been tested, which facilitated the development and validation of preliminary computational models describing this system. Significant gaps …

Machine Learning-Based Design Of Doppler Tolerant Radar, Kyle Peter Wensell

Dissertations

In this work, machine learning theory is applied to the design of a radar detector in order to train a machine learning-based detector that is robust against Doppler shifts. The radar system is designed to work with data that would be otherwise intractable to conventional optimal detector design, such as transmitted noise waveforms and the effects of one-bit quantization at the receiver. The detection performance of the one-bit receiver is shown to match the performance of the derived square-law sign correlator detector. The resulting learning-based detector also introduces Doppler tolerance to the system, which allows for the successful detection of …