Digital Commons Network^™

Effects Of Multiple Stressors On Aquatic Macroinvertebrate Communities In A Mixed-Land-Use Watershed, Joellen Stivala

Graduate Theses, Dissertations, and Problem Reports (ETD)

As urbanization continues, there is a need to identify and understand environmental stressors that impact stream condition in mixed-land-use watersheds. This study analyzed four years of aquatic macroinvertebrate community and environmental data collected from ten sites located at the mouths of first-order tributaries and along the main stem creek of a 23-km², mixed-land-use watershed in central Appalachia. The main objectives were to 1) determine stream ecological integrity by analyzing stream macroinvertebrate taxonomic and trait-based composition and 2) assess which of 23 environmental variables explained significant variability in common community composition metrics (WVSCI, GLIMPSS, Biotic Index, % clingers, etc.). …

Active Localization For Robotic Systems: Algorithms And Cost Metrics, Jared Strader

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the real world, a robotic system must operate in the presence of motion and sensing uncertainty. This is caused by the fact that the motion of a robotic system is stochastic due to disturbances from the environment, and the states are only partially observable due noise in the sensor measurements. As a result, the true state of a robotic system is unknown, and estimation techniques must be used to infer the states from the belief, which is the probability distribution over all possible states. Accordingly, a robotic system must be capable of reasoning about the quality of the belief …

Integration Of Deep Hashing And Channel Coding For Biometric Security And Biometric Retrieval, Veeru Talreja

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the last few years, the research growth in many research and commercial fields are due to the adoption of state of the art deep learning techniques. The same applies to even biometrics and biometric security. Additionally, there has been a rise in the development of deep learning techniques used for approximate nearest neighbor (ANN) search for retrieval on multi-modal datasets. These deep learning techniques knows as deep hashing (DH) integrate feature learning and hash coding into an end-to-end trainable framework. Motivated by these factors, this dissertation considers the integration of deep hashing and channel coding for biometric security and …

Examining The Effects Of Background Noise On Contextualized Word Learning, Caitlin Alyssa Ross

Graduate Theses, Dissertations, and Problem Reports (ETD)

Despite redundancy in the acoustic speech signal, both children and adults demonstrate difficulty listening and learning in noise. Research has shown that the acoustic parameters of classrooms and common study places, such as libraries and coffee shops, are often exposing students daily to unhealthy levels of background noise and distraction as they attempt to access and retain new information. While younger children may encounter new words via deliberate instruction in a classroom setting, older students are more likely to access new vocabulary indirectly via reading or self-study in noisy environments often of their own choosing. In both scenarios, accurate perception …

Estimating The Azimuthal Mode Structure Of Ultra Low Frequency Waves And Its Effects On The Radial Diffusion Of Radiation Belt Electrons, Mohammad Barani

Graduate Theses, Dissertations, and Problem Reports (ETD)

Characterizing the azimuthal mode number �� of Ultra Low Frequency (ULF) waves is critical to quantifying the radial diffusion of radiation belt electrons. A Wavelet cross-spectral technique is applied to the compressional ULF waves observed by multiple pairs of GOES and MMS satellites to estimate the mode structure of ULF waves. A more realistic distribution of mode numbers is achieved by inclusion of the modes corresponding to different wave propagation directions as well as at �� higher than fundamental mode number. For the event study of a geomagnetic storm using GOES data, ULF wave power is found to dominate at …

Majorana Nanostructures And Their Electrostatic Environment, Benjamin David Woods

Graduate Theses, Dissertations, and Problem Reports (ETD)

Majorana zero modes (MZMs) are zero-energy excitations emerging in one- and two-dimensional topological superconductors. These exotic modes have attracted much attention in the last decade due to their topological protection and non-Abelian statistics, which make them possible building blocks for topological quantum computation. In particular, semiconductor-superconductor (SM-SC) nanostructures have attracted the most attention with several measurements being consistent with the presence of MZMs. Debate continues, however, whether MZMs or topologically-trivial Andreev bound states are responsible for such measurements.

In order to interpret experimental results distinguishing MZMs from Andreev bound states and gain a better understanding of what conditions need to …

Non-Monetary Economies: A Study On Different Governing Principles, Richard Perry Vest Ii

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis examines a new economic system with a focus on non-monetary (primarily automation) aspects. Currency has been used in exchange for goods and services and this exchange has often resulted in benefits gained by any given individual. What if that wasn’t the case? How might society function if it was not influenced by currency? This thesis explores this hypothetical concept of an economy without currency with a focus given to automation. Using utility and production functions, discussion is given on how supply and demand functions behave in a non-monetary economy, how governing policy could be handled, and how society …

Ensemble Encoder-Decoder Models For Predicting Land Transformation, Pariya Pourmohammadi

Graduate Theses, Dissertations, and Problem Reports (ETD)

In studying dynamic and complex processes which are influenced by a system of inter-connected driving variables, it is crucial to apply models that can learn the complexity of the interactions. Land transformation is one of such complex processes, prediction of which can help to mitigate severe climate situations and improve the resiliency of communities. In this study, a multi-spectral set of data cubes is used to capture various characteristics of a geographic region. Based on the data cube, a feature space is constructed using socio-economic attributes, terrain characteristics, and landscape traits of the study region. Two-dimensional and three-dimensional convolutional neural …

Traditional And Modern Breeding Strategies Towards Developing Resilient Crops: Two Case Studies In Tomato, Estefania Tavares Flores

Graduate Theses, Dissertations, and Problem Reports (ETD)

Crop designing for resilience traits to produce satisfactorily under adverse conditions and scenarios is a priority for the future of global food security. In this thesis, two different approaches addressing major stress factors for tomato cropping are presented. We first aimed to domesticate tomato de novo as a high-salinity resistant crop using the wild relative, S. cheesmaniae via gene editing. We conducted single-gene and multiplex knock-out strategies using CRISPR/Cas9 genome editing to create loss-of-function alleles for the domestication-related genes BIF, CycB, J2, EJ2, MULTI, SP, SP5G, and FW11.3 in order to create a novel, halophyte tomato harboring an inherent high-salinity …

Optimizing A Pediatric Dka Protocol In A Tertiary Care Hospital System In Northern West Virginia, Jennifer L. Burky

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Diabetic ketoacidosis (DKA) is a serious complication of diabetes that occurs when the body compensates for insufficient insulin, producing dangerously high levels of ketones. Without proper treatment, DKA can be fatal. For that reason, staff in the pediatric intensive care unit (PICU) at a tertiary care hospital in northern West Virginia expressed concerns about the complexity of and lack of adherence to a poorly referenced and dated DKA treatment protocol.

Objective: The purpose of this project was to assess the feasibility and sustainability of optimizing the DKA protocol in the PICU. The primary objective was to implement an updated, …

Analyzing Applied Calculus Student Understanding Of Definite Integrals In Real-Life Applications, Cody Hood

Graduate Theses, Dissertations, and Problem Reports (ETD)

An individual’s knowledge of definite integrals can range from rote memorization to a strong foundational connection harkening back to its Riemann sum limit definition. In my research, I conducted seven task-based face-to-face interviews with Applied Calculus students. Through the use of real-life examples and guided reinvention, I analyzed ways in which these students, who all initially demonstrated rote memorization, could exhibit a Riemann sum based level of comprehension. This research was conducted in the confines of a student population with definite integral experience, but no formal instruction on limits. My results show that the lack of computational emphasis in class …

Bypassing The Blood-Brain Barrier: A Physical And Pharmacological Approach For The Treatment Of Metastatic Brain Tumors, Samuel A. Sprowls

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation (a) provided an in depth literature review of methods to disrupt the BBB/BTB and improve therapeutic distribution to brain tumors, (b) evaluated the use of azacitidine as a single agent therapy for the treatment of brain metastasis of breast cancer and a potential molecular mechanism by which brain tropic cells are sensitized to hypomethylating agents, (c) determined the impact cannabidiol has on P-glycoprotein mediated efflux at the blood-brain barrier and its potential for use as a single agent treatment for metastatic brain tumors, (d) developed a preclinical radiation therapy protocol for use in small animals and in vitro …

Determination Of Effectiveness Of Energy Management System In Buildings, Vivash Karki

Graduate Theses, Dissertations, and Problem Reports (ETD)

Building Energy Management Systems (BEMS) are computer-based systems that aid in managing, controlling, and monitoring the building technical services and energy consumption by equipment used in the building. The effectiveness of BEMS is dependent upon numerous factors, among which the operational characteristics of the building and the BEMS control parameters also play an essential role. This research develops a user-driven simulation tool where users can input the building parameters and BEMS controls to determine the effectiveness of their BEMS. The simulation tool gives the user the flexibility to understand the potential energy savings by employing specific BEMS control and help …

Prediction Of Tensile Behaviors Of L-Ded 316 Stainless Steel Parts Using Machine Learning, Israt Zarin Era

Graduate Theses, Dissertations, and Problem Reports (ETD)

Directed energy deposition (DED) is a rising field in the arena of metal additive manufacturing and has extensive applications in aerospace, medical and rapid prototyping. The process parameters, such as laser power, scanning speed and specimen height, play a great deal in controlling and affecting the properties of DED fabricated parts. Nevertheless, both experimental and simulation methods have shown constraints and limited ability to generate accurate and efficient computational predictions on the correlations between the process parameters and the final part quality. In this work, a data driven machine learning model XGBoost has been built and applied to predict the …

Tree Species Influence On Microbial Functional Gene Abundance And N Cycling In Riparian Soil, Elizabeth Matejczyk

Graduate Theses, Dissertations, and Problem Reports (ETD)

Little is known about how above-ground vegetation may differentially influence the below-ground microbial community structure, abundance, and function. Abundance of soil microbial N cycling genes responsible for nitrification (amoA), denitrification (nirK and nirS), and nitrous oxide reduction (nosZ) may vary with tree species and increasing N availability, and these variables may be used to predict production of NO₃^- and N₂O from soil. Variability of nitrification and denitrification rates have also been linked to tree mycorrhizal associations, with soil beneath tree species associated with arbuscular mycorrhizal (AM) exhibiting greater denitrification rates …

Flipping The Classroom For Introduction To Probability And Statistics For Engineers, Philomena Krosmico

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction to Probability and Statistics for Engineers, IENG 213, is a foundational course in the Industrial Engineering curriculum at West Virginia University (WVU). The challenge has been finding the best teaching method to instill concept learning. A “flipped classroom” teaching style has been gaining momentum throughout higher education and has had proven success in STEM fields. At WVU, beginning with the 2016 Fall semester, the teaching model for the class used a flipped classroom style for one of the instructors. Data on statistical concept learning, using the University of Oklahoma validated statistics concept inventory instrument (Allen K., 2006), was collected …

Covid-19 Vaccine Rollout: Examining Covid-19 Vaccination Perceptions And Intention Among Nurses, Emilee T. Austin

Graduate Theses, Dissertations, and Problem Reports (ETD)

Nurses’ COVID-19 vaccination rates have been reportedly low for being among the first prioritized for vaccination. To understand and potentially explain uptake barriers, this thesis utilized the 5c Model, the Integrative Model, the Extended Parallel Process Model, Uncertainty Management Theory, and the Theory of Motivated Information Management. This project used an online survey with a convenience sample recruited through the WV Nurses Association. Specifically, there were 328 nurses recruited, then screened for fully vaccinated participants leaving an analytic sample of 174 West Virginia nurses who had not yet been vaccinated. Participants were asked about their nursing role, threat perceptions, susceptibility …

Financial Literacy, Experience, And Age Differences In Monetary Sequence Preferences, Jenna M. Wilson

Graduate Theses, Dissertations, and Problem Reports (ETD)

The emerging research on age differences in monetary sequence preferences suggests that older adults make decisions that are normatively correct from the standpoint of economic theory when choosing to receive larger versus smaller amounts of money sooner than later, but make non-optimal decisions about paying money. In an adult life-span sample (N = 594, aged 20-88, M_age = 46.48, SD= 15.16) recruited through MTurk, the present study examined age differences in monetary sequence preferences. Participants received eight hypothetical scenarios that described monetary events, and completed measures of financial literacy and financial experience. Older age was associated with …

Speaking Music: A Historical Study Of Edwin Gordon's Music Learning Theory, David M. Alfred

Graduate Theses, Dissertations, and Problem Reports (ETD)

Music Learning Theory, conceived, researched, and developed by Dr. Edwin Elias Gordan, has been on the periphery of music education for decades and is the only extant comprehensive theoretical framework that fully addresses the development of music literacy from early childhood through maturity. The concurrent research gap suggests that a Fordist approach may exist throughout music education – one that insists upon behavioral goals, direct instruction, and educational, artistic, and ideological exclusivity. This historical study elucidates Gordan’s work in order to understand the stages and processes that are like spokes of a wheel between his idea of audiation at the …

Can Stable Isotopes From Tree Rings Improve Our Understanding Of Past Variability In The Southern Annular Mode?, Zachary Grzywacz

Graduate Theses, Dissertations, and Problem Reports (ETD)

Few annually dated stable isotope records exist across Oceania. In mid- to high-latitude locations in South America, tree-ring stable isotopes provide information about past climate dynamics such as the Southern Annular Mode (SAM). The SAM drives latitudinal shifts in Southern Hemisphere westerly winds, influencing temperature and moisture delivery across the mid- to high-latitudes, including Tasmania. Combinations of paleoclimate proxies from across the Southern Ocean might provide insight into dynamic processes like the SAM that are difficult to measure with a single proxy. Measuring stable carbon and oxygen isotope ratios from tree rings in Tasmania could provide complementary data to contribute …

Development Of Eccentric Black Hole Binary Searches In The Ligo And Pta Regimes, Belinda D. Cheeseboro

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the past several years, a plethora of gravitational wave events have been detected leading to better understanding of binary black holes, binary neutron stars, and neutron star black hole binaries. All of these transient detections have helped us better understand the dynamics of these systems as well as the populations of these objects, but each of these sources was detected with models that neglected eccentricity. Eccentricity is one of several potential markers for determining the formation of binary systems. Detecting gravitational waves from eccentric sources can better our understanding of such systems and help constrain theories about their formation. …

Terrestrial Salamander And Ant Community Responses To Imidacloprid Application In Central Appalachian Eastern Hemlock Forests, Lenza E. Paul

Graduate Theses, Dissertations, and Problem Reports (ETD)

Imidacloprid is the most widely used insecticide in the world and has been found to impact non-target taxa in systems in which it is applied. It is used as the primary treatment method in the protection of eastern hemlocks (Tsuga canadensis) from impacts of hemlock woolly adelgid (HWA; Adelges tsugae), an invasive insect in the U.S. that is causing widespread mortality of hemlock trees. In this study, we investigated whether imidacloprid applied in eastern hemlock forests is impacting woodland salamander and ant communities.

In Chapter 1, I provide an overview of the ecological importance of eastern hemlocks …

Validation Of Shoulder Strain Index, Fabiha Islam

Graduate Theses, Dissertations, and Problem Reports (ETD)

Musculoskeletal disorders (MSDs) of shoulder are one of the most frequent and major causes of morbidity and pain among full-time workers in the USA. In 2018, shoulder disorders were the most severe type of MSDs in terms of lost workdays. Recent epidemiological studies have identified several biomechanical, organizational, and psychological factors that increase the risk of shoulder MSDs. Though multiple biomechanical studies have evaluated physical causal factors of shoulder MSDs with a goal of risk mitigation, literature lacks a standardized risk assessment tool. The main objective of this study was to validate a previously developed shoulder strain index. The strain …

Identical Twins As A Facial Similarity Benchmark For Human Facial Recognition, John Andrew Mccauley

Graduate Theses, Dissertations, and Problem Reports (ETD)

The problem of distinguishing identical twins and non-twin look-alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adoption of facial biometrics. Due to the high facial similarity of both identical twins and look-alikes, these face pairs represent the hardest cases presented to facial recognition tools. This work presents an application of one of the largest twin datasets compiled to date to address two FR challenges: 1) determining a baseline measure of facial similarity between identical twins and 2) applying this similarity measure to determine the impact of doppelgangers, or look-alikes, on FR performance for large …

Assessing Synthetic Aperture Radar (Sar)-Derived Temporal Patterns And Digital Terrain Data For Palustrine Wetland Mapping, Jaimee L. Pyron

Graduate Theses, Dissertations, and Problem Reports (ETD)

Palustrine wetland systems are important ecosystems and provide numerous ecosystems services to support society. Unfortunately, they remain under constant threat of devastation due to land use practices and global climate change, which underscores the need to identify, map, and monitor these landscape features. This study explores harmonic coefficients and seasonal median values derived from Sentinel-1 synthetic aperture radar (SAR) data, as well as digital elevation model (DEM)-derived terrain variables, to predict palustrine wetland locations in the Vermont counties of Bennington, Chittenden, and Essex. Support vector machine (SVM) and random forest (RF) machine learning models were used with various combinations of …

Asymmetry Risk And Asset Pricing, Jiahao Gu

Graduate Theses, Dissertations, and Problem Reports (ETD)

The dissertation primarily focuses on asymmetry risk and its role in asset pricing. Asymmetry risk is a crucial component of systematic risk. However, it does not attract much attention, probably because of the misconception that it is similar to other asymmetry measures (e.g., skewness). Chapter 1 defines the asymmetry risk. The risk indifference curve (RIC) predicts two asymmetry premiums in the return distribution rather than one in the downside. I also derive the risk-neutral measure of asymmetry risk.

Chapter 2 empirically investigates the asymmetry beta's return predictability and tail risk hedging ability. Consistent with the risk indifference curve, the asymmetry …

Psychometric Evaluation Of Genetic Literacy Instruments In A National Sample, Jamey T. Brumbaugh

Graduate Theses, Dissertations, and Problem Reports (ETD)

The concept of genetic literacy continues to grow in clinical and social significance. Whether transforming current healthcare practices or raising questions about genetically-modified foods, genetic information and technologies are primed to further influence people’s lives. There is a growing need to understand how genetic literacy is currently assessed in order to inform and improve future test development. This study aimed to investigate the assessment of genetic literacy by psychometrically examining three contemporary genetic literacy instruments (i.e., Genetic Knowledge Survey, International Genetic Literacy and Attitudes Survey (iGLAS-GK), and University of North Carolina Genomic Knowledge Scale (UNC-GKS). Psychometric properties, including internal consistency …

The Effect Of Bilingual Proficiency In Indian English On Bilabial Plosive, Taniya Chawla

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Bilingual speech production studies have highlighted that level of proficiency influences the acoustic-phonetic representation of phonemes in both languages (MacKay, Flege, Piske, & Schirru 2001; Zárate-Sández, 2015). The results for bilingual speech production reveal that proficient/early bilinguals produce distinct acoustic properties for the same phoneme in each language, whereas less proficient/late bilinguals produce acoustic properties for a phoneme that is closer to the native language (Flege et al., 2003; Fowler et al., 2008). Acoustic-phonetic studies for Hindi (L1) and Indian English (L2) for bilingual speakers have been understudied, and the level of proficiency has not been considered in Hindi …

Development Of Multi-Catchment Rating Curves For Streams Of Appalachian Mixed-Land-Use Watersheds: Preliminary Results, Zachary A. Heck

Graduate Theses, Dissertations, and Problem Reports (ETD)

Anthropogenic activities can alter the quantity and quality of water. Traditional monitoring of streamflow involves measurements of stage (mm), or water height, and discharge (i.e., streamflow) (m3 s -1 ) above a local datum. However, while stage is relatively easily monitored, continuous streamflow measurement is often impractical and prohibitively expensive. To address this challenge, rating curve equations can be developed to convert stage to flow. To establish a series of rating curves for flow estimations in Appalachia, an investigation was conducted in a representative urbanizing, mixed-land-use watershed in north-central West Virginia consisting of 21 nested stream gauge sites. At each …

Judicial Independence In Pakistan: A Case Study Of Lawyers’ Movement, 2007-2009, Shabbir Ahmad Khan

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study focuses on a social movement, the Lawyers’ Moment 2007-2009 of Pakistan, a transitioning democracy, which brought vast changes in its judicial system, especially in terms of its judicial independence. There are three main research questions in this study: 1) the status of judicial independence before the Lawyers’ Movement; 2) was judicial independence a major goal in the Lawyers’ Movement? and 3) did the Lawyers’ Movement alter the status of judicial independence? The research methodology used to explore the answers to these questions also has three main sources: 1) the literature which explains some areas of scholarship in social …