Digital Commons Network^™

Design And Control Of Intensified Membrane Reactor Systems Through Module-Based Design Approach, Brent Bishop

Graduate Theses, Dissertations, and Problem Reports (ETD)

As interest in the modularization and intensification of chemical processes continues to grow, more research must be directed towards the modeling and analysis of intensified process units. Intensified process units such as membrane reactors pose unique challenges pertaining to design and operation that have not been fully addressed in the reported literature. This work aims to address the design and control challenges caused by the integration of phenomena and the loss of degrees of freedom (DOF) that occur in the intensification of modular membrane reactor units.

First, a novel first-principles approach for modeling membrane reactors is developed using the AVEVA …

Uav Path Planning And Multi-Modal Localization For Mapping In A Subterranean Environment, Kieren Yoshiki Samarakoon

Graduate Theses, Dissertations, and Problem Reports (ETD)

The use of Unmanned Aerial Vehicles (UAVs), especially quadcopters, have become popular in academia and industry due to their small size and maneuverability. These UAVs can be programmed to autonomously execute missions that are usually difficult and risky for humans, such as subterranean exploration, infrastructure surveying, and even disaster response. However, inaccessible and remote environments pose a challenge in terms of navigation as they often lack access to Global Navigation Satellite System (GNSS) connections and lack features. To address these challenges, UAVs are equipped with multiple sensors to acquire different types of data. These include range, acceleration, and even images, …

Using Landsat-Based Phenology Metrics, Terrain Variables, And Machine Learning For Mapping And Probabilistic Prediction Of Forest Community Types In West Virginia, Faith M. Hartley

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study investigates the mapping of forest community types for the entire state of West Virginia, USA using Global Land Analysis and Discovery (GLAD) Phenology Metrics analysis ready data (ARD) derived from the Landsat time series and digital terrain variables derived from a digital terrain model (DTM). Both classifications and probabilistic predictions were made using random forest (RF) machine learning (ML) and training data derived from ground plots provided by the West Virginia Natural Heritage Program (WVNHP). The primary goal of this study is to explore the use of globally consistent ARD data for operational forest type mapping over a …

Development Of Capillary Vibrating Sharp-Edge Spray Ionization For Improving Continuous Flow Mass Spectrometry Analysis, Chong Li

Graduate Theses, Dissertations, and Problem Reports (ETD)

Capillary Vibrating Sharp-Edge Spray Ionization (cVSSI) is new ionization technique developed in the year of 2018. This ionization technique has attractive features such as simplicity, compactness, ease of manipulation, low costs, compatible with continuous flow, etc. However, the development of high performance cVSSI for mass spectrometry analysis is a process that needs unremitting optimizations. In this dissertation, I demonstrate the development of cVSSI for improving continuous flow mass spectrometry analysis. The chapter 2 focuses on improving the ionization efficiency of cVSSI through reducing the droplet size. Three strategies were tested to reduce the droplet size of VSSI. The most effective …

Navigating Abrupt Shifts In Contextual Discourses During A Pandemic And Lack Of Mentorship: A Preservice Teacher’S Journey Developing Critical Pedagogical Discourses, Casey L. King

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study is centered on one English language arts (ELA) preservice teacher’s development of her critical pedagogical discourses (CPD) with the contextual discourses of a school placement for preservice teaching and later shift to a full-time teacher before the placement was complete during a pandemic and in the midst of implementing online learning. Data is drawn from a 4-month interpretive qualitative case study that included classroom observations and semi-structured interviews. The objective for this study included how a preservice teacher uses their beliefs and identity about instruction amid changing contextual discourses in a pandemic and with a lack of mentorship. …

Synthesis And Cyclotrimerization Of Sulfonyl Enynes, Alexa C. Martin

Graduate Theses, Dissertations, and Problem Reports (ETD)

The synthesis of complex, polysubstituted aromatic rings from simple, non-aromatic building blocks is a consistent challenge to the synthetic community. Neopentylene ring fusions are found in several natural products but are largely absent from synthetic compound libraries. This discrepancy reflects the limitations in modern chemical synthesis. Utilizing, in part, a thoroughly developed fragmentation/olefination methodology from the Dudley Lab, a library of novel 1-sulfonyl-1,6-enynes have been developed. In this methodology, they are prepared in three steps from dimedone (5,5-dimethyl-1,3-cyclohexanedione), an inexpensive starting material. A total of 14 novel 1-sulfonyl-1,6-enynes were synthesized. These substrates were subjected to a novel benzannulation reaction based …

Deep Radio Observations And The Role Of The Cosmic Web In Galaxy Evolution, Nicholas M. Luber

Graduate Theses, Dissertations, and Problem Reports (ETD)

A current open question in the evolution of galaxies, is what are the physical mechanisms that cut off galaxies from their primordial gas reservoirs, resulting in the end of their star-formation capabilities? Recent observational programs have shown that the properties of galaxies show dependencies on their placement within the large-scale structure (LSS) of the universe. These observations have motivated recent developments in theoretical work that have shown how a galaxy's interaction with the LSS may impact its connection to primordial gas supply, and ability to continue to accrete gas, the fundamental ingredient in star-formation.

In order to investigate the role …

Computational Analysis Of The Stability Limits Of Premixed Methane-Air Combustion In Micro-Channels, Almoutazbellah Adnan Kutkut

Graduate Theses, Dissertations, and Problem Reports (ETD)

Technological progress in the last decades facilitated the development of integrated microsystem devices, including electrical and mechanical components for micro-electro-mechanical systems (MEMS). Such systems necessitate an external power supply, but typical batteries yet have some unavoidable limitations. To address this problem, numerous studies have been conducted to develop alternatives powered by micro combustion – in order to effectively utilize the high-density energy of hydrocarbon fuels. Such a global need has resulted in much more attention devoted to the combustion-based micro-power generation systems. However, to better understand the typical combustion characteristics in such microscale systems, design and performance restrictions need to …

Impact Of Radio Frequency Interference And Real-Time Spectral Kurtosis Mitigation, Evan T. Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

We catalog the ubiquity of Radio Frequency Interference (RFI) plaguing every modern radio telescope and investigate several ways to mitigate it in order to create better science-ready data products for astronomers. There are a myriad of possible RFI sources, including satellite uplinks and downlinks, cellular communications, air traffic radar, and natural sources such as lightning. Real-time RFI mitigation strategies must take these RFI characteristics into account, as the interfering signals can look significantly different at very high time and frequency resolutions.

We examine Spectral Kurtosis (SK) as a real-time statistical RFI detection method, and compare its flagging efficacy against simulated …

Bottleneck Management Through Strategic Sequencing In Smart Manufacturing Systems, Sayantee Roy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Nowadays, industries put a significant emphasis on finding the optimum order for carrying out jobs in sequence. This is a crucial element in determining net productivity. Depending on the demand criterion, all production systems, including flexible manufacturing systems, follow a predefined sequence of job-based machine operations. The complexity of the problem increases with increasing machines and jobs to sequence, demanding the use of an appropriate sequencing technique. The major contribution of this work is to modify an existing algorithm with a very unusual machine setup and find the optimal sequence which will really minimize the makespan. This custom machine setup …

Detecting Adverse Drug Events Using A Deep Neural Network Model, Saminur Islam

Graduate Theses, Dissertations, and Problem Reports (ETD)

Adverse drug events represent a key challenge in public health, especially with respect to drug safety profiling and drug surveillance. Drug-drug interactions represent one of the most popular types of adverse drug events. Most computational approaches to this problem have used different types of drug-related information utilizing different types of machine learning algorithms to predict potential interactions between drugs. In this work, our focus is on the use of genetic information about the drugs, in particular, the protein sequence and protein structure of drug protein targets to predict potential interactions between drugs. We collected information on drug-drug interactions (DDIs) from …

Black Walnut Plantations In West Virginia: Maximizing Financial Returns Through Decision Modeling And Cash Flow Analysis, Erin Duffy Shaw

Graduate Theses, Dissertations, and Problem Reports (ETD)

The purpose of this study was to identify the management strategies that lead to maximum financial returns from a black walnut plantation. To evaluate a selection of plantation establishment scenarios, thinning treatments, and product objectives, an Excel-based black walnut financial model was updated and revised. Key updates to the model included incorporating three cash flows for 1) the collection and wholesale of black walnut sap, 2) producing black walnut syrup, and 3) leasing black walnut trees for tapping. Additionally, outputs from the Forest Vegetation Simulator were integrated into the model’s growth and yield projections as a means of more accurately …

Deep Learning Detection In The Visible And Radio Spectrums, Greg Clancy Murray

Graduate Theses, Dissertations, and Problem Reports (ETD)

Deep learning models with convolutional neural networks are being used to solve some of the most difficult problems in computing today. Complicating factors to the use and development of deep learning models include lack of availability of large volumes of data, lack of problem specific samples, and the lack variations in the specific samples available. The costs to collect this data and to compute the models for the task of detection remains a inhibitory condition for all but the most well funded organizations. This thesis seeks to approach deep learning from a cost reduction and hybrid perspective — incorporating techniques …

Aerodynamic Performance Of A Biologically Inspired Hybrid Plasma-Mechanical Flow Control And Sensing Device, Joseph Dygert

Graduate Theses, Dissertations, and Problem Reports (ETD)

The continued high global demand for passenger and freight air traffic along with increased use of unmanned aerial vehicles operating in broader Reynolds number regimes has resulted in researchers examining alternative technologies, which would result in safer, more reliable, and superior performing aircraft. Aerodynamic flow control may be one of the most promising approaches to solving this problem, having already proven its ability to enable higher flow efficiency while simultaneously improving overall control of flow behavior such as laminar-to-turbulent transition. Recent research in aerodynamic flow control has seen a pronounced growth in the areas of biomimicry and plasma flow control …

Information Theoretical Analysis Of The Uniqueness Of Iris Biometrics, Katelyn M. Hampel

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the rapid globalization of technology in the world, the need for a more reliable and secure online method of authentication is required. This can be achieved by using each individual’s distinctive biometric identifiers, such as the face, iris, fingerprint, palmprint, etc.; however, there is a bound to the uniqueness of each identifier and consequently, a limit to the capacity that a biometric recognition system can sustain before false matches occur. Therefore, knowing the limitations on the maximum population that a biometric modality can uniquely represent is essential now more than ever. In an effort to address the general problem, …

Combustion Feature Characterization Using Computer Vision Diagnostics Within Rotating Detonation Combustors, Kristyn B. Johnson May

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years, the possibilities of higher thermodynamic efficiency and power output have led to increasing interest in the field of pressure gain combustion (PGC). Currently, a majority of PGC research is concerned with rotating detonation engines (RDEs), devices which may theoretically achieve pressure gain across the combustor. Within the RDE, detonation waves propagate continuously around a cylindrical annulus, consuming fresh fuel mixtures supplied from the base of the RDE annulus. Through constant-volume heat addition, pressure gain combustion devices theoretically achieve lower entropy generation compared to Brayton cycle combustors. RDEs are being studied for future implementation in gas turbines, where …

The Potential Of Diabase Sills In Eastern Pennsylvania To Store Co2 And H2, Rhiannon R. Schmitt

Graduate Theses, Dissertations, and Problem Reports (ETD)

With anthropogenic CO₂ concentrations rising, geologic carbon sequestration and H₂ storage are essential processes in mitigating climate change. Typical geologic carbon sequestration involves the capture of anthropogenic CO₂ and injection into depleted oil/gas reservoirs or saline formations with an impermeable cap rock to prevent the buoyant migration of CO₂. The risk of eventual CO₂ migration through these low permeability cap rocks adds expensive monitoring costs to this traditional sequestration strategy. Another method for CO₂ sequestration utilizes the reaction of CO₂ with mafic and ultramafic rocks. CarbFix, a sequestration project in Iceland, has …

Screen Media Use Among Children And Adolescents – Applications Of Supervised And Unsupervised Machine Learning And Sentiment Analysis, Yifan Zhang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Screen media has become increasingly pervasive in our everyday lives and has profoundly changed the way people communicate and interact with each other. However, we are still unclear about the long-term influence of screen media use on our physical health, mental health, and social wellbeing. Children and adolescents are in an important stage of brain development and are susceptible to the environmental influence that screen media possess. This dissertation pursued three aims to address research gaps related to screen media use among children and adolescents: 1) identify topics and knowledge gaps in screen media use research among children and adolescents …

Quantifying Water Security In West Virginia And The Potomac River Basin, Eric Carl Edvard Sinius Sjostedt

Graduate Theses, Dissertations, and Problem Reports (ETD)

All healthy ecosystems, communities, and economies are founded on access to clean, adequate water sources to support ecosystem services, provide clean drinking water, and allow the production of water-intensive goods and services. The state of available water resources must be analyzed through the lens of water security, defined as the capability to safeguard sustainable access to adequate quantities of acceptable quality water for people, the economy, and ecosystems. Mountain regions are sources of freshwater resources for downstream regions, which produce disproportionately higher runoff than downstream regions. As a result, mountain regions are often referred to as natural water towers …

Exploring How Children Use Their Everyday Thinking To Construct Scientific Explanations Of The Natural World, Ashley Nicole Kooken

Graduate Theses, Dissertations, and Problem Reports (ETD)

The purpose of this qualitative grounded theory study was to describe and explain children’s thinking present in multiple related contexts surrounding a single Earth Space disciplinary core idea in order to provide insight on whether and how children’s everyday thinking forms the basis for learning in science classrooms. As most previous work on children’s thinking focuses more on what ideas and thinking are present within specific science learning contexts, there is a knowledge gap as to how children’s everyday ideas across multiple contexts provide the basis from which they construct a deeper conceptual understanding about scientific phenomenon in the world …

Monitoring The Systemic Immune System To Understand And Improve The Efficacy Of Immunotherapy For Metastatic Osteosarcoma, Justin Edward Markel

Graduate Theses, Dissertations, and Problem Reports (ETD)

Osteosarcoma (OS) is a complex tumor with no effective targeted therapies due to its genomic heterogeneity and pleomorphism. The immune response it creates, particularly against metastatic lesions, is considerable; however, various suppressive mechanisms induced by the tumor prohibit its effectiveness. The presence of infiltrating lymphocytes suggests that therapeutic disinhibition through checkpoint blockade could increase antitumor immunity, though none have been successful in clinical trials. The complexities of the immune response to OS tumors have yet to be unraveled; however, there is evidence to suggest that cell-mediated immunity (CMI, specifically T cells, Natural Killer [NK] cells, and myeloid-lineage cells [MLCs]) plays …

Artificial Intelligence Based Approach For Rapid Material Discovery: From Chemical Synthesis To Quantum Materials, Robert Tempke

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the advent of machine learning (ML) in the field of Materials Science, it has become obvious that trained models are limited by the amount and quality of the data used for training. Where researchers do not have access to the breadth and depth of labeled data that fields like image processing and natural language processing enjoy. In the specific application of materials discovery, there is the issue of continuity in atomistic datasets. Often if one relies on experimental data mined from literature and patents this data is only available for the most favorable of atomistic data. This ultimately leads …

Incentive Analysis Of Blockchain Technology, Rahul Reddy Annareddy

Graduate Theses, Dissertations, and Problem Reports (ETD)

Blockchain technology was invented in the Bitcoin whitepaper released in 2008. Since then, several decentralized cryptocurrencies and applications have become mainstream. There has been an immense amount of engineering effort put into developing blockchain networks. Relatively few projects backed by blockchain technology have succeeded and maintained a large community of developers, users, and customers, while many popular projects with billions of dollars in funding and market capitalizations have turned out to be complete scams.

This thesis discusses the technological innovations introduced in the Bitcoin whitepaper and the following work of the last fifteen years that has enabled blockchain technology. A …

A Multi-Method Examination Of The Effects Of Students’ Unconscious Biases On Student Evaluations Of Instructors, Brittany M. Kowalski

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this dissertation, I complete three studies to evaluate potential reactions to target role congruity, especially gender role congruity, through an examination of Student Evaluations of Instructors (SEIs). Target role congruity refers to assessments an observer makes of whether or not the various roles a target person fills “fit” with one another. For example, a woman surgeon may be perceived as being in an incongruent role due to the masculine characteristics associated with the occupation and the continued dominance of men in the field. Researchers utilizing congruity theories has shown that both women and men in roles that are incongruent …

Scaling Theory Of 3d Magnetic Reconnection X-Line Spreading, Milton Arencibia

Graduate Theses, Dissertations, and Problem Reports (ETD)

Magnetic reconnection is fundamental process in plasmas that converts magnetic energy into kinetic and thermal energy via a change in magnetic topology. Magnetic reconnection is known to mediate eruptive solar flares, geomagnetic substorms that create the Northern lights, heating and particle acceleration in controlled fusion devices, and is thought to be an important process in numerous settings in high-energy astrophysics. Classical models of reconnection are two-dimensional (2D), but naturally occurring reconnection is three-dimensional (3D), and a manifestation of the 3D nature is that the x-line where the magnetic field topology changes has a finite extent in the direction normal to …

A Narrative Inquiry Into The Influence Of School Shooting Survival On College Transition And Experience, Jayne M. Piskorik

Graduate Theses, Dissertations, and Problem Reports (ETD)

There is an extensive body of school-related shooting research exploring causes, how to recognize a threat, and what preparedness measures are effective (Lee et al., 2020; Muchert, 2007). However, there is insufficient research on how the broader context of school-related shootings in American society has influenced college-aged students. The purpose of this study was to tell the story of how students have been influenced by their experience surviving the 2018 Marjory Stoneman Douglas High School shooting during their transition to and performance in higher education. Narrative inquiry provided a deeper understanding through narrative retelling of the perceptions, decisions, and experiences …

Characterizing The Effects Of Solvent And Analyte Properties On Ionization Efficiency By Novel Field-Free And Field-Enabled Ionization Techniques, Kinkini Udara Jayasundara

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years the mass spectrometry (MS) area of field and/or direct analysis has grown dramatically. As a result, field-portable and miniaturized mass spectrometers, introduced only a few years ago, are proliferating. A highly desired feature for field-portable MS, or in-field analysis, is the ability to use ionization techniques requiring very little sample preparation as well as an ability to generate the ions under ambient conditions. Recently, a new ambient ionization technique termed vibrating sharp-edge spray ionization (VSSI) has been introduced which overcomes the field-portable limitations of other spray-based methods including the requirements for auxiliary components (e.g., nebulizing gas and …

Advanced Process Modeling And Optimization Of Amine-Based Carbon Capture Process, Paul Jide Terhemba Akula

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the rise of carbondioxide (CO2) concentration in the atmosphere to more than 400 parts per million (ppm), research efforts have been focused on achieving net-zero carbon emission technologies. Post-combustion CO2 capture (PCC) is a key strategy in reducing CO2 emissions. Amine-based CO2 capture is the baseline technology for retrofitting existing power stations. However, the integration of amine-based PCC technology with power plants to reduce greenhouse gas emissions incurs a high energy penalty, decreasing a powerplant’s efficiency by about 23 percentage points. Understanding the capture plant dynamics plays an important role in its technical and economic performance. Rigorous models are …

Population And Migratory Ecology Of Canada Warblers (Cardellina Canadensis) In The Central Appalachian Mountains, West Virginia, Usa, Stephanie H. Augustine

Graduate Theses, Dissertations, and Problem Reports (ETD)

Nearctic-Neotropical migrant birds experience a wide range of environmental conditions throughout their annual cycle; thus, it is particularly challenging to evaluate the spatial factors that may influence population growth. The Canada Warbler (Cardellina canadensis) faces substantial range-wide population declines, but little study has been conducted regarding elements occurring across the entire year that drive demographic rates. The aims of this research are (1) determine the relationship between Canada Warbler population demographic rates and environmental conditions along an elevation gradient in the central Appalachian Mountains and (2) ascertain the nonbreeding season location and migratory routes used by the central …

Using Drones To Evaluate Revegetation Success On Natural Gas Pipelines, Anthony Nelson Mesa

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Appalachian region of the United States has significant growth in the production of natural gas. Developing the infrastructure required for this resource creates significant disturbances across the landscape, as both well pads and transportation pipelines must be created in this mountainous terrain. Midstream infrastructure, which includes pipeline rights-of-way and associated infrastructure, can cause significant environmental degradation, especially in the form of sedimentation. The introduction of this non-point source pollutant can be detrimental to freshwater ecosystems found throughout this region. This ecological risk has necessitated the enactment of regulations related to midstream infrastructure development. Weekly, inspectors travel afoot along pipeline …