Iron Coated Sand: A Sustainable Substrate Amendment For Nutrient Management And Growth Of Floriculture Crops, Savannah Mead

Graduate Theses, Dissertations, and Problem Reports (ETD)

Acid mine drainage and phosphorus pollution are two of the most pervasive forms of water contamination in Appalachia and globally. The horticultural industry is a contributor to nutrient pollution via leaching from greenhouses, necessitating the adoption of more sustainable practices for container production in controlled environments. In this thesis, an acid mine drainage-based iron-coated sand product was assessed on its effectiveness for phosphate adsorption when used as a sustainable substrate amendment for soilless container production of flowering ornamentals. The first study centered around the amount of iron-coated sand to use for production of petunias, pansies, and chrysanthemums. Iron-coated sand at …

Venus Balloon Localization: A Map-Aided Navigation Approach Supported By A Single-Satellite, Heath Scott Cottrill

Graduate Theses, Dissertations, and Problem Reports (ETD)

Although Venus and Earth began as twins, possessing comparable size, mass, and composition, past exploration missions have revealed that Venus is now hellishly hot, devoid of oceans, and enveloped in a carbon dioxide-filled atmosphere. To understand when and why this evolutionary divergence occurred, further exploration is required. Today, there is a growing interest in the use of aerial platforms to circumvent the harsh conditions at the surface, which limit the lifetime of landed instruments. In this concept, a single balloon, propelled by the ambient wind field, would operate in the atmosphere at an altitude between 50 and 70 km, where …

Machine Learning-Assisted Multiscale Simulation And Design Optimization Of Composite Jackets Under Low-Velocity Impacts, Masoud Mohammadi

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research presents the development of a data-driven machine learning-assisted approach to simulate and optimize the design of composite materials subjected to low-velocity impacts. It focuses on a specific type of hybrid composite comprised of fiberglass and Kevlar fabrics stitched with Kevlar threads. The study begins by creating a multiscale finite element simulation for the composite under a low-velocity impact, which operates across three scales: microscale, mesoscale, and macroscale. This simulation accepts various inputs, such as different layer configurations and orientations, and provides impact outputs including maximum load and energy absorption capacity and displacement at failure.

Python and MATLAB scripts …

Experimental Verification And Time-Resolved Bispectral Analysis Of Nonlinear Coupling In The Toroidicity-Induced Alfv´En Eigenmode Spectrum, Gregory Allen Riggs

Graduate Theses, Dissertations, and Problem Reports (ETD)

In magnetically-confined fusion devices, the toroidicity-induced Alfv´en eigenmode (TAE) is a well-studied, weakly stable solution of the linearized ideal magnetohydrodynamic (MHD) equations. Due to intrinsic coupling of poloidal harmonics of the shear Alfv´en wave (SAW) in toroidal geometry, the rotational transform of magnetic field lines modulates the effective index of refraction, ensuring gaps in the so-called “Alfv´en continuum.” Experimental verification of theoretical predictions for various parameters of interest (i.e., frequency, mode structure, instability threshold, etc.) is established in the literature.

We present the first systematic study of TAE-TAE phase coherence in an experimental device, using the DIII-D tokamak. Crucially, nonlinear …

The Search, The Localization, And The Characterization: Fast Radio Transients, Reshma Anna Thomas

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fast radio transients are energetic bursts in centimeter or meter wave-lengths, lasting only milliseconds, and originating from both Galactic and extra-Galactic sources. In our Galaxy, these transients primarily originate from pulsars, which are rotating neutron stars. The more energetic extra-galactic transients, known as fast radio bursts (FRBs), have unknown origins. This thesis explores various techniques, including single dish and interferometric observations, to detect and accurately localize fast radio transients. It also investigates how the propagation effects of radio waves can reveal characteristics of the local environment and potential FRB sources. Furthermore, it demonstrates how FRBs can be used to study …

Investigating Critical Mineral Recovery And Carbon Mineralization Potential In Coal Fly Ash, Syabilla Cardosh

Graduate Theses, Dissertations, and Problem Reports (ETD)

Coal fly ash (CFA), a byproduct of coal combustion, represents an innovative opportunity to address the rising demand for critical minerals and the need to reduce CO2 emissions due to its significant concentrations of calcium and magnesium. By providing insights and preliminary data, this study aims to contribute to the foundational understanding necessary for future development.

A multidisciplinary approach was employed to assess CFA’s potential, including detailed chemical and mineralogical characterization using X-ray fluorescence (XRF), inductively coupled plasma mass spectrometry (ICP-MS), X-ray diffraction (XRD), and scanning electron microscopy (SEM). XRD analysis revealed crystalline phases in the CFA samples. At the …

Weighted Effect Of Concentrated Cracking On The Structural Integrity Of Concrete Bridge Decks, Md Ala Uddin

Graduate Theses, Dissertations, and Problem Reports (ETD)

Concrete bridge decks are vital components of transportation infrastructure, yet their deterioration due to aging, environmental, and operational factors poses significant challenges to maintenance and safety. In the United States, approximately 9.1% of bridges require improvement, with millions of daily trips relying on structurally deficient bridges. Cracking is one of the most frequently observed defects on concrete bridge structures. Traditional bridge inspections evaluate cracks based on severity (crack width) and extent (crack area), combining these values with other performance indicators to assess overall bridge health. However, the effect of concentrated cracking in localized areas on bridge integrity remains largely unexplored. …

Benchmarking The Global Warming Potential Of Asphalt Pavements In West Virginia, Md Reasad Samrat

Graduate Theses, Dissertations, and Problem Reports (ETD)

With the rising focus on sustainable infrastructure, interest in environmentally friendly paving practices has grown significantly. This thesis investigates the environmental impacts of asphalt mixtures in West Virginia from a sustainable asphalt mix design perspective, with a particular emphasis on the utilization of Life Cycle Assessment (LCA). The research aligns with the U.S. Federal Highway Administration (FHWA) Climate Challenge, which aims to encourage state Departments of Transportation (DOTs) to implement low-carbon materials and consider the ecological effects of their paving activities. This study establishes the initial benchmark values for greenhouse gas emissions associated with asphalt pavements in West Virginia. The …

The Influence Of Faculty Mentorship On Graduate Student Development Through The Lens Of Self-Efficacy, Connor Lynn Ferguson

Graduate Theses, Dissertations, and Problem Reports (ETD)

This exploratory sequential mixed-methods case study explores the relationship between perceived self-efficacy and faculty mentorship with biomedical sciences graduate students. The intent of the study was to understand the extent at which faculty mentorship contributes to self-efficacy development in the population of biomedical sciences doctoral students enrolled at a mid-Atlantic R1 institution. Data collected consisted of a survey assessing perceived self-efficacy and mentoring, interviews and documents. Data analysis explored themes related to the perceived academic and professional development of the students through their responses. The research highlights the significance of the mentor-mentee relationship and influence of the mentor on the …

Machine Learning For Environmental Sustainability, Syeda Nyma Ferdous

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research proposes a comprehensive approach to address pressing challenges in environmental sustainability, agricultural residue management, using machine learning based approaches. Machine learning (ML) techniques have emerged as powerful tools for addressing environmental sustainability challenges by facilitating the analysis and prediction of ecological phenomena, and optimization of resource management strategies. The study explores the synergies between environmental sustainability and machine learning to develop a framework that leverages artificial intelligence techniques covering a wide range of tasks including crop residue management, soil CO2 flux prediction, and forest carbon system prediction for sustainable development. The study analyze various ML models, such as, …

Ready Oer Not: Engaging Teachers With Student Identity Through Open Pedagogy, Emily Helton

Graduate Theses, Dissertations, and Problem Reports (ETD)

This research project centers on in-service K-12 teachers’ experiences of a continuing education course about open education resources (OER) and how to use them in ways that support students’ ability to use identity resources while engaging with disciplinary learning experiences. Using a qualitative design-based research approach, I sought to both improve the course and examine how teachers took up the ideas from the course in their planning and teaching. While OER are valuable resources for K-12 teachers in and of themselves because they are free and often available in easily adapted formats, their licensing typically allows edited versions to be …

An Inquiry Into The Accessibility Of Campus Recreation For College Students With Disabilities, Kayla B. Abrahamson

Graduate Theses, Dissertations, and Problem Reports (ETD)

University recreation centers are identified as the main sources of physical activity for college students. However, an estimated 68% of college students with disabilities (SWD) use their campus recreational facilities less than five times per year (Yoh et al., 2008). Structural and programmatic accessibility barriers may account for low facility use and corresponding low physical activity levels among college SWD. An accessibility assessment of facilities and programming is warranted to identify priority areas for barrier removal. This collective case study evaluates the accessibility of three campus recreation facilities at 4-year public universities in the southeast U.S. Adopting a mixed-method approach, …

Mechanistic Insight Into Maternal Electronic Cigarette Exposure And Its Effect On Offspring Cerebrovascular And Neurocognitive Health, Amber Victoria Mills

Graduate Theses, Dissertations, and Problem Reports (ETD)

Electronic cigarettes (Ecigs) have replaced smoking within the last decade as the preferred nicotine delivery system because of their advertising to the younger populations. Marketing has sold the idea that use of Ecigs are safer than smoking and this messaging has resonated with youth and other vulnerable populations such as pregnant women. Despite over 2.8 million children under 18 (Annual National Youth Tobacco Survey) deciding to vape, there is little information about what this will do to the next generation. Further, it is that same population that will soon reach an age when they will want to have children. There …

Machine Learning And Rna Bioinformatics, Jason Rafe Miller

Graduate Theses, Dissertations, and Problem Reports (ETD)

The applied science of bioinformatics encompasses computational analysis of molecular biology data. Advances in genomics and DNA sequencing technology have enabled computational analysis of ribonucleic acids (RNAs), which play diverse and critical roles in most cells. To assist the study of human RNA, we trained machine learning models on RNA nucleotide sequences, devoid of domain knowledge. We built models that distinguish long non-coding lncRNA from protein-coding mRNA, and models that predict the cytoplasmic vs. nuclear preferences of lncRNAs. In a review of published lncRNA subcellular localization classifiers, we show that the commonly used validation protocol generates optimistic performance measures, and …

Data-Driven Approaches For Achieving Carbon Neutrality: Predictive Models For Reducing Co2 Emissions And Enhancing Industrial Sustainability, Farzana Islam

Graduate Theses, Dissertations, and Problem Reports (ETD)

In response to the escalating challenges posed by climate change and industrial inefficiency, this thesis presents a comprehensive investigation aimed at advancing the predictive modeling of global CO2 emissions and enhancing operational efficiency in steel manufacturing through Electric Arc Furnace (EAF) temperature optimization. Leveraging a rich dataset sourced from the World Development Indicators database alongside a meticulously curated dataset specific to EAF operations, our study applies an innovative blend of econometric and machine learning techniques, including Pooled Ordinary Least Squares (Pooled OLS), Random Effects (RE), Fixed Effects (FE), and Seasonal Autoregressive Integrated Moving Average with Exogenous Variables (SARIMAX) models. The …

Advances In Machine Learning Aided Seismic Interpretation And Inversion For Subsurface Characterization, Tobi Micheal Ore

Graduate Theses, Dissertations, and Problem Reports (ETD)

Geophysical data are used to “remotely sense” the subsurface to illuminate structures, stratigraphy, and features that are of interest in the exploration for energy, suitable storage for carbon dioxide, geothermal development, and environmental considerations. The interpretations of these data typically are regarded as partially an art, as it depends on the experience of the interpreter. This is further exacerbated with the big data era as this data is large and takes several days, even longer, to manually interpret. To bridge this gap of speed and subjective bias, machine learning has been successfully applied to automate the geophysical interpretation process. This …

Life After Sport: A Program Development Plan For Student-Athletes, Loryn Shawn Frame

Graduate Theses, Dissertations, and Problem Reports (ETD)

College athletics stakeholders have had growing concerns regarding student-athletes’ transition out of collegiate athletics. Research specific to student-athletes following college athletics has explored mental health, role identity, and occupational participation. This program development plan addresses occupational therapy’s role in assisting student-athletes transition out of collegiate athletics. The needs assessment conducted with West Virginia University athletic staff revealed two gaps in programming: athletic identity including leisure exploration, and a program to help student-athletes who want to enter health professional programs. Life After Sport comprises two programs, one to help student-athletes transition into a health professional program, titled Athletes in Medicine (AIM), …

Anamnesis, Kristian Thacker

Graduate Theses, Dissertations, and Problem Reports (ETD)

My work examines the duality of living in Appalachia and cherishing its picturesque environment; while being complicit in its ongoing destruction via industry and resource extraction. Composed of my own photographs and selections from the Farm Security Administration archives, this body of work presents a vision of the region that’s purpose extends beyond value judgments. Rather, it considers the manmade and natural environments of Appalachia holistically, each one integral to the experience and understanding of the other. Following the same aesthetic choices I make in my professional practice as a photojournalist, I blur the boundary between art and documentation. In …

On Confidence And Sense Of Belonging In Cybersecurity Students: Analysis & Prediction, Sadaf Amna Sarwari

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years, there has been a rapid expansion of cybersecurity programs across higher education institutions in response to the widening skills gap in the cybersecurity job market. This study adopts quantitative and qualitative approaches to identify factors influencing West Virginia University (WVU)’s LANE Department of Computer Science and Electrical Engineering (LCSEE) students’ confidence and sense of belonging in the cybersecurity field. The results are based on data collected from surveys administered to LCSEE students in April 2022 and April 2023. The responses were analyzed using descriptive & inferential statistics and logistic regression techniques. Additionally, the 2023 data was utilized …

Transition Readiness, Coping, And Psychological Risk And Protective Factors In Adolescents With Type 1 Diabetes, Jennifer Kelleher

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Many adolescents with type 1 diabetes (T1D) find the transition from pediatric to adult healthcare stressful, reporting high levels of diabetes distress and burnout. Although promoting positive coping strategies (primary control, secondary control), and inhibiting negative coping (disengagement) improves health outcomes in youth of transition age, little research has examined how different types of coping relate to transition readiness in T1D. Additionally, it remains unknown what psychological factors predict disengagement coping in adolescents with T1D. Therefore, this study aimed to (1) examine which coping styles predict transition readiness in adolescents with T1D, (2) determine whether diabetes distress mediates …

Implementation Of Bayesian Statistics To Answer Diverse Engineering Questions: Applications In Cancer Immunology And Engineering Education, Anika C. Pirkey

Graduate Theses, Dissertations, and Problem Reports (ETD)

Quantitative Systems Pharmacology (QSP) refers to a mechanistic modeling approach used for assessing potential therapeutics by linking the molecular and cellular level mechanisms of the disease and therapeutic to the system-wide dynamics and clinical endpoints relevant to the disease. Although the field of QSP is still in its relative infancy, the mathematical methodology employed to predict the kinetics of these systems are not new and can be applied to a wide variety of systems. For instance, similar to QSP’s goal of guiding the development of novel therapeutics for various disease states, there exists a need to develop novel interventions in …

Ung: A Diagnostic Standard C Library, Jakob Knute Kaivo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Undefined behavior in C programs is a major source of unreliable software. Many of the most common exploitable software vulnerabilities can be traced directly to undefined behavior. In the increasingly connected world, a successful attack can cost the victim millions of dollars to recover from. While static program analysis aids in identifying undefined behavior, testing indicates that even the best static analysis tools correctly identifies about 35% of these defects. This dissertation introduces UNG’s Not GNU (UNG), a standard C library designed to mitigate undefined behavior. Where others have seen opportunities for optimization, UNG makes every effort to identify undefined …

Experimental And Chemical Modeling Of Applied Dc Electric Field Induced H2 – Air Axisymmetric Laminar Co-Flow Diffusion Flames With Low Carbon Impurities, Susith Dilshan Pathmasiri Gunamuni Halowitage

Graduate Theses, Dissertations, and Problem Reports (ETD)

The effect of externally applied DC electric fields on flame structure was investigated in a stationary atmospheric axisymmetric laminar H₂–Air flame with less than 100 ppm carbon equivalent impurities. Flame OH chemiluminescence signals were recorded using a UV-sensitive CCD array as a function of voltage (+10 to -10 kV) applied to a stainless-steel ring electrode placed around the burner nozzle. Changes in chemiluminescence signal are reported as a function of electrode height above the burner, airflow, and fuel composition. Significant changes in OH* distributions were observed for voltages below -5 kV. Under optimum conditions, the height of the …

On Uncertainty For Ill-Posed Robot Decision Problems, Jared Joseph Beard

Graduate Theses, Dissertations, and Problem Reports (ETD)

As robots adopt more real world responsibilities, they will be expected to solve more complicated problems. In some cases limited prior knowledge will result in unmodelled environmental conditions; in others, multiple users may have competing perspectives on how to frame a decision problem. Many existing frameworks, namely Markov decision processes (MDP) presuppose users have identified a specific problem with models sufficient to solve or learn a problem. If we wish to extend MDPs to novel problems or those heavily dependent on user feedback, autonomous decision makers must be able to identify limitations in how a given problem is framed and …

History Of Federal International Education Policy (1900-2024): A Four-Dimensional View In Action, Winda Wastu Melati

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examines the history of the evolution of United States international education policy from 1900 to 2024, employing document analysis methodology to explore key themes that have shaped its trajectory. The study utilizes Cooper et al.'s (2004) Four-Dimensional View of Policy theory (normative, structural, constituentive, and technical) to analyze the complex interplay between diplomatic objectives, economic considerations, national security concerns, immigration, internationalization of higher education, and international students in the United States. The research traces major policy shifts from early initiatives like the Boxer Indemnity Scholarship Program to post-9/11 security measures and recent administrative changes by examining primary sources …

How Does Locality Impact The Sales And Purchases Of Textiles And Apparel? Exploring Retailers' And Consumers' Perspectives In The U.S., Md Rokibul Hasan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The revival of U.S. textile and apparel (T&A) manufacturing is largely attributed to rising consumer interest in locally-produced goods, the pursuit of economic sustainability, and the need to mitigate environmental impacts. This study aims to fill a critical research gap by examining the perceptions and behaviors of both U.S. retailers and consumers regarding locally-made T&A products. Utilizing the theory of planned behavior (TPB) as a theoretical framework, the research explores the constructs of attitudes, subjective norms, and perceived behavioral control to elucidate the factors affecting local T&A sales and purchases. The study employs semi-structured interviews with nine U.S. retailers and …

Active Uncertainty Representation Learning: Toward More Label Efficiency In Deep Learning, Salman Mohamadi

Graduate Theses, Dissertations, and Problem Reports (ETD)

The primary goal of this dissertation is to investigate and improve the efficiency of deep learning algorithms, especially within computer vision problem domains, from the perspective of label-efficiency. This investigation showed that deep learning algorithms are mostly notorious for the lack of uncertainty representation. Accordingly, we aimed to develop an array of deep learning frameworks rich with uncertainty representation. These frameworks are mainly within two current pillars of machine learning, deep active learning and self-supervised learning. These frameworks include deep active ensemble sampling for efficient sample selection within deep active learning, a two-stage ensemble-based general self-training approach for existing visual …

Prevalence Of Depression And Suicidal Ideation In First-Generation College Students As Compared To Their Non-First-Generation Peers, Abigail A. Wellings

Graduate Theses, Dissertations, and Problem Reports (ETD)

First-generation college students face numerous challenges and barriers in academia and related areas that impact their mental health in a manner that their non-first-generation peers may not experience. This population reports higher incidences of stress and distress, depression, and anxiety. However, little is known about the prevalence of suicidal ideation in this population. The current study hypothesized a difference between first-generation students and non-first-generation students on depressive symptoms and suicidal ideation. Participant data was gathered from the Center for Collegiate Mental Health (CCMH) 2015-2016 data set. Primary analyses will be independent samples t-tests and hierarchical linear regression. Results showed a …

The Impact Of Normal Growth On The Ap Relationships Of The Jaws And Incisors To The Forehead: A Serial Cephalometric Analysis Of Untreated Individuals, Adam Joseph Rudmann Dr

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

The Impact of Normal Growth on the AP Relationships of the Jaws and Incisors to the Forehead: A Serial Cephalometric Analysis of Untreated Individuals

Adam Rudmann D.D.S. M.S.

Background and Objectives

Growth of the craniofacial complex is a critical factor to consider when treatment planning an orthodontic case. The ability to predict how the forehead and jaws will change over time depends on the ability to find predictable landmarks either radiographically or clinically, and use them to gauge the relative growth of various facial structures. This data can then be integrated with other diagnostic information such as occlusion and …

Dentin-Sealer Bond Strength. A Review: An In-Vitro Comparison Between Guttaflow 2 ®, Endosequence Bc High Flow ®, Tubli-Seal ®, Sealapex ®, And Ah Plus Jet ® Sealers., Zied Diab

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction: One objective of non-surgical endodontic therapy is the formation of a hermetic seal with elimination of any portal of entry of bacteria and their byproducts into the root canal space from periapical tissue. Extensive research has been conducted to determine ideal endodontic sealers. Bioceramic sealers have risen to prominence due to reported decreased shrinkage, less toxicity, and superior bond strength to root dentin compared to zinc oxide eugenol, calcium hydroxide, and resin-based sealers. GuttaFlow2®, a new sealer on the market, is composed of calcium silicate in combination with gutta-percha particles. Researchers from Coltene (Altstätten, Switzerland), the manufacturer of GuttaFlow2® …