Evaluating Land Cover Change And Opportunities For Bioenergy Crop Development On Surface Mine Sites In West Virginia, U.S.A., Kenzie D. Kohrs

Graduate Theses, Dissertations, and Problem Reports (ETD)

Surface mining can impact land cover, forests, and water quality. Current reclamation strategies include revegetation with herbaceous species due to the ease and speed of cover establishment. Herbaceous and woody biomass crops have been used in various studies to reclaim surface mines and act as an alternative to nonrenewable energy sources. The objectives of this study were to quantify the state of vegetation growth on former surface mines in West Virginia over a 9-year period and identify suitable acreage for bioenergy production. During 2011 to 2020, we found that over 40,000 acres had been converted to forest and 40,000 acres …

Utilizing Suas-Based Remote Sensing For Sustainable Outdoor Recreational Trail Design And Monitoring, Isaac C. Kinder

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study utilizes sUAS-based remote sensing and hydrologic models to analyze and predict locations susceptible to water-based trail erosion. Erosion is frequently cited as the most significant environmental impact of trails and often requires costly design and management considerations. A professionally designed trail totaling 4 km in length was segmented based on presence or absence of water-based erosion for analyses and then flown with sUAS technology. Three Logistic regression (LR) models were generated utilizing several hydrologic terrain models of varying resolutions to determine the effects of spatial resolution on the models’ predictive accuracies. Receiver operator characteristics, kappa, and overall accuracy …

Theorizing Mathematical Proof As Becoming: A Deleuzio-Guattarian Investigation, Joshua P. Case

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this dissertation, I utilize the post-structural philosophy of Gilles Deleuze and Félix Guattari as a lens for investigating the proof process. Deleuze and Guattari were both post- structural philosophers who, like many in this tradition, troubled traditional notions related to stable identities, meaning, language, and mathematics. For Deleuze, sense and meaning is not the result of a sterile, transcendent effect or condition that is associated with propositions and states of affairs. Rather, it is the result of a material production that emerges from the world and that has independence from language and the mind. I apply this framework to …

Application Of Interpretable Machine Learning Methods To Study The Disease Characteristics And Healthcare Expenditures In Hodgkin’S Lymphoma, Zasim Azhar Dil Hasan Siddiqui

Graduate Theses, Dissertations, and Problem Reports (ETD)

Hodgkin’s lymphoma (HL) is a rare malignancy of lymphocytes that predominantly occurs in young adults aged 20-30 years or elderly individuals aged 65-75 years. Despite its low incidence, there were an estimated 223,512 HL survivors in the US in 2020. Hodgkin’s lymphoma shows a favorable prognosis among young adults, with a high cure rate of 85-90%; however, older adults experience poor prognosis, with a 5-year overall survival rate of 40-55% in patients over 60 years. HL survivors incur high total and out-of-pocket (OOP) healthcare expenditures, averaging $78,183 and $4,180 per patient in the first year after diagnosis, highlighting a considerable …

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, …

(Non-) Recovery Of An Agricultural Stream From Straightening And Dredging, Aras Anderson Mann

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent history, natural, meandering streams have been straightened and dredged to reduce flooding. While this practice can be effective in reducing flooding locally, it often results in the degradation of stream water quality and aquatic ecosystems. A straighter channel inherently increases the stream gradient, which could increase flow velocity, shear stress, and potentially downstream sediment yield. Studies have shown that straightened, channelized streams often begin to return to a meandering pattern 35-50 years post-channelization. Yet cross-sectional surveys and air photo analysis of the stream reach in this study, Deckers Creek, indicate little to no observable trend of the stream …

Reformed-Based Approaches To The Teaching And Learning Of Science, Sahar Vali

Graduate Theses, Dissertations, and Problem Reports (ETD)

This qualitative practice-based study explores the efficacy of reformed-based science teaching approaches in fostering meaningful student engagement within elementary science classrooms, framed within the science-as-practice paradigm. Utilizing three theoretical frameworks, the Next Generation Science Standards (NGSS) and Ambitious Science Teaching (AST), and the Teacher Noticing, this research investigates how these frameworks influence student engagement in scientific disciplinary practices. The study draws on data from an NSF-funded project on teacher noticing in fifth-grade classrooms in West Virginia. Through a practice-based research approach, the relationship between teachers’ pedagogical practices and student engagement in science and engineering practices as outlined by NGSS and …

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 …

Enhancing Reservoir Modeling And Simulation Through Artificial Intelligence And Machine Learning: A Smart Proxy Modeling Approach, Andrew Timothy Jenkins

Graduate Theses, Dissertations, and Problem Reports (ETD)

The application of numerical reservoir simulation (NRS) has been a common approach within the oil and gas industry for decades, providing a means to model and forecast dynamic subsurface interactions, as a basis for reservoir management and development decisions. These techniques have expanded to application within carbon capture utilization and storage (CCUS) projects as domestic and global policy shift towards reducing carbon emissions while maintaining the energy needs of our modern society. NRS techniques have become a core process for permitting approval in Class VI (large-scale geological sequestration) wells due to the fundamental similarity of these types of subsurface processes. …

Development Of Probabilistic Dynamic Model Building And Bayesian Machine Learning Approaches, Samuel Oladayo Adeyemo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Abstract

Development of Probabilistic Dynamic Model Building and Bayesian Machine Learning Approaches

Samuel Adeyemo

The recent years have seen a tremendous increase in the use of artificial intelligence (AI) and machine learning (ML) for the development of data-driven mathematical models needed for performing real-time optimization, model-based control, performance optimization, dynamic data reconciliation, and process performance monitoring. However, the development of data-driven models is faced with some challenges including lack of model interpretability, sensitivity of algorithm to noise in training data, limited extrapolation capabilities and violation of conservation laws. Drawing motivation from these existing gaps, this work aims to develop robust …

Advanced Techniques In Time Series Forecasting: From Deterministic Models To Deep Learning, Xue Bai

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation discusses three instances of temporal prediction, applied to population dynamics and deep learning.

In population modeling, dynamic processes are frequently represented by systems of differential equations, allowing for the analysis of various phenomena. The first application explores modeling cloned hematopoiesis in chronic myeloid leukemia (CML) via a nonlinear system of differential equations. By tracking the evolution of different cell compartments, including cycling and quiescent stem cells, progenitor cells, differentiated cells, and terminally differentiated cells, the model captures the transition from normal hematopoiesis to the chronic and accelerated-acute phases of CML. Three distinct non-zero steady states are identified, representing …

An Approach For Robotic Pollination That Utilizes Imitation Learning, Ronald Michael Butts Ii

Graduate Theses, Dissertations, and Problem Reports (ETD)

The global decline in pollinator populations poses a significant threat to agriculture, motivating the development of robotic pollination systems. Previous works demonstrated successful robotic pollination of bramble flowers using visual servoing; however, pollination was limited to specific flower orientations. As such, the objective of this work is to develop a robotic pollination system that is capable of pollinating a wider range of orientations.

This research introduces an imitation learning-based framework for robotic pollination that positions the manipulator to view chosen flowers in specific orientations. The developed model leverages object detection (YOLOv8) to identify individual flowers and a convolutional neural network …

Investigation Of Space Charge Effects On Co2 Electrocatalytic Reduction On Gd-Doped Ceria Via Scanning Kelvin Probe And Model-Based Bayesian Analysis, Alejandro Mejia

Graduate Theses, Dissertations, and Problem Reports (ETD)

In studying novel energy conversion and storage systems, such as high-temperature electrolysis, numerous underlying fundamental physical processes remain unclear or inadequately understood. Among these, the modeling and comprehension of surface reaction mechanisms, coupled with the intricate effects of space‑charge interfaces, remains an unclear and challenging area of research.

The work of this dissertation involves the development of a 2D finite element analysis model, leveraging the robust MOOSE framework from INL. This model, featuring inhomogeneous defect thermodynamics for near-surface chemistry, formulated through Poisson‑Cahn variational theory, has been exploited for studying the electrocatalytic reduction of CO₂ on gadolinia doped ceria. The …

Data-Driven Modeling Of Oxygen Kinetics In La0.6sr0.4co0.2fe0.8o3−Δ (Lscf) For High-Temperature Reduction Of Co2 In An Electrolysis Cell, Ferron Campbell

Graduate Theses, Dissertations, and Problem Reports (ETD)

Electrolysis systems are critical to several societal applications, particularly energy storage and conversion. Developing these systems requires a detailed knowledge of the chemistry and thermodynamics of the materials used in the electrolysis cell. This work focuses on using embedded scientific machine learning as an efficient way to build an interpretable model for the reaction and transport kinetics in the LSCF electrode, whose performance directly influences the electrolysis system’s performance. The models developed in this study are trained using the publicly available machine learning package, FoKL-GP. This package incorporates a robust Gibbs sampler that employs a forward variable selection process to …

X-Ray Absorption And Related Studies In Superconducting Devices And Magnetic Thin Films, Ghadendra Bahadur Bhandari

Graduate Theses, Dissertations, and Problem Reports (ETD)

Superconducting and magnetic thin films are commonly used in sensors for analytical detectors, especially those that operate at very low temperatures, often below 1 Kelvin. These highly sensitive detectors, capable of functioning across a broad range of wavelengths, have garnered significant interest in scientific research. The focus of this thesis is to address a material challenge associated with an emerging technology known as microwave kinetic inductance detectors (MKIDs). The research involves the study of Al/Si and Al-Mn/Si-based thin films, as well as an investigation into the magnetic properties of LaMnO₃ thin films. LaMnO₃, a perovskite thin film that plays a …

Piano Wisdom From Two Great Masters: Heinrich Neuhaus And Walter Gieseking, Xiaohan Hu

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation explores the pedagogical insights and piano techniques of Heinrich Neuhaus (1888-1964) and Walter Gieseking (1895-1956), two iconic figures in 20th-century piano performance and education. Through a detailed analysis of their writings and teaching methods, the research highlights their shared focus on the foundational principles of piano technique, as well as their unique contributions to interpretation and musical expression.

Neuhaus’s The Art of Piano Playing provides an in-depth discussion on the importance of artistic imagery, posture, sound production, and emotional depth in performance. Gieseking, along with his former teacher Karl Leimer, emphasizes ear training, mental visualization, and technical precision …

Characterizing Prescribed Fire With Terrestrial Lidar In The New Jersey Pine Barrens, Samuel Rhule Stockton

Graduate Theses, Dissertations, and Problem Reports (ETD)

Prescribed burning has become a commonly used tool in the mitigation of wildfire, though monitoring the way it changes ecosystems has historically been a time-intensive process. Rapid change across ecosystems has necessitated advancements in remote sensing technologies to quantify the changes taking place. Single-scan terrestrial LiDAR scanning is one such method of monitoring these changes through the quantification of ecosystem structural characteristics. Acute disturbance events such as fire can transform the structure of an ecosystem, and by extension, change the way that ecosystem functions. The purpose of this study is to analyze the changes in vegetation density and distribution following …

Synthesis, Characterization, And Reactivity Studies Of Pyridine Dipyrrolide Iron-Carbene Complexes With Electronically Distinct Carbene Moieties, Jose G. Rodriguez

Graduate Theses, Dissertations, and Problem Reports (ETD)

First, three (^MesPDP^Ph) iron carbene complexes with electronically distinct carbene moieties were synthesized. These transitional iron carbene complexes were first characterized by ¹H nuclear magnetic resonance (NMR) spectroscopy as their spectra showed paramagnetically shifted resonances. Additionally, their respected solid state structures were collected via X-ray diffraction. The two donor/acceptor iron carbene complexes [(^MesPDP^Ph)Fe(C(CO₂Me)(4-FPh) and (^MesPDP^Ph)Fe(C(CO₂Me)(4-MeOPh)] demonstrated a weak Fe-O interaction between the iron center and ester function group while the (^MesPDP^Ph)Fe(IMe) displayed a C_2v symmetric structure in the …

Coal As A Resource For Rare Earth Elements In West Virginia, Rachel Elizabeth Yesenchak

Graduate Theses, Dissertations, and Problem Reports (ETD)

Although rare earth elements and yttrium (REY) are essential for manufacturing technologies vital to economic and national security, the U.S. is heavily reliant on foreign imports of these critical metals. There is significant interest in identifying and developing unconventional REY resources including coal and coal-byproducts to help secure domestic supplies of these elements. Appalachian Basin coals and byproducts are particularly enriched in REY. Coal-producing states within the basin, including West Virginia, can utilize existing infrastructure and legacy coal mining wastes to transition into the production of REY. However, in order to develop these resources, it is critical to understand the …

A Self-Supervised Knowledge Distillation Approach To Anomaly Detection In X-Ray Imagery, Kaden Quinn Mceldowney

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many cargo containers enter the United States every day by truck, rail, and sea. As a result of the large number of cargo containers entering the United States, not all of them can be thoroughly inspected. Most of these containers contain properly documented and legal cargo, but some people take advantage of this situation by hiding illicit items in the cargo containers such as drugs. To more efficiently and thoroughly inspect cargo containers, Customs and Border Protection (CBP) uses X-ray imaging machines to obtain images that reveal the interior of cargo containers. These X-ray images must be inspected to ensure …

Advancing Gfrp Column Design: Strength, Effective Lengths, And Failure Modes, Jack Alan Wykle

Graduate Theses, Dissertations, and Problem Reports (ETD)

Glass fiber reinforced polymer (GFRP) composites have become an increasingly popular choice in construction industry due to their higher strength-to-weight ratio, ease of manufacture including lower Embodied Carbon Factor, and better durability in harsh environmental conditions than conventional structural construction materials. Currently, GFRP composite column design lacks well-established design standards due to the material's unique properties such as lower bending and shear stiffness than steel, differing compressive and tensile moduli, which leads to complexities in computing buckling capacities under local effects such as flange or web buckling and even torsional buckling under off-centered compression loading. Therefore, GFRP columns will behave …

Dynamic Exchange-Correlation Functional For Bandgap Optimization: Reparametrization And Machine Learning, Viviana Faride Dovale Farelo

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation explores predicting the physical properties of solids using first-principles methods, with a focus on Density Functional Theory (DFT). DFT uses the electronic density within a material to predict its properties, simplifying the treatment of electron-electron interactions and allowing the study of realistic systems with a balanced treatment between accuracy and computational efficiency. Additionally, machine learning (ML) is employed to create correlations between some physical properties of solids and other properties or parameters that are more difficult to calculate.

The main problem addressed in this study is adjusting the parameters in the Strongly Constrained and Appropriately Normed (SCAN) semilocal …

Processing, Stability, And High-Temperature Properties Of Doped Lacro3-Based Refractory Ceramics And Composites For Harsh Environments Sensing Applications, Javier A. Mena

Graduate Theses, Dissertations, and Problem Reports (ETD)

In order to test and monitor the operational stability and conditions of various energy, transportation, and manufacturing systems and their components, accurate sensors capable of operating at temperatures over 1000 °C in various environments for long durations are required. In addition, many of these harsh environmental systems do not permit sensors to be directly inserted into the environment, so the sensors need to be embedded into the surrounding support or thermal protective materials. Some technological and industrial applications that require the use of harsh environment conditions sensing include nuclear and chemical reactors, jet engines, heavyduty gas turbines, rotating bearings in …

Geochemical Phase Associations Of Rare Earth Elements And Lithium In Black Shales Of The Usa: A Study In The Appalachian And Haynesville Basins, Shailee Bhattacharya

Graduate Theses, Dissertations, and Problem Reports (ETD)

Critical elements are an indispensable part of the clean energy transition. In the race for alternative energy technologies, lithium and rare earth elements have a proven record of being few of the most sought-after minerals. Limited availability of conventional mineral ores warrants a need to explore, understand and exploit unconventional sources of these elements. To that end, several studies have attempted to understand the rock and mineral assemblages of diverse geological systems. This doctoral thesis focuses on understanding the geochemistry of REE and Li in sedimentary environments, particularly black shale basins in the US. A suite of samples from natural …

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 …

Selected Piano Etudes From The Mid-20th To 21st Centuries: A Catalogue, Min Ji Baek

Graduate Theses, Dissertations, and Problem Reports (ETD)

Etudes, which initially appeared in the seventeenth century as small collections of exercises, have evolved into significant concert pieces, showcasing the development of virtuosity over time. This study compiles a selected catalog of piano etudes from the mid-20th century to the 21st century, accompanied by brief biographies of each composer. Beginning with a historical overview of piano etudes, this paper catalogs etudes by 50 composers, divided into two chapters that respectively present etudes from the 1940s–1980s and the 1980s–2020s, listed alphabetically by the composer's last name. The final chapter provides a concise summary of the catalogue’s contents, highlighting its potential …

Milk Collection Problem: Integrating The Traveling Salesman And Set Covering Problem - A Case Study In West Virginia, Usa, Md Rabiul Hasan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Route determination for perishable products is complex due to its unique characteristics, such as limited shelf-life regulatory requirements, or possibility of getting damaged. This research investigates a novel problem of collecting raw milk from a rural network of dairy farms. The research problem is grounded in a real scenario of milk collection in West Virginia, USA. The milk in this scenario is produced by small farms incapable of realizing transportation economies of density out in mostly rural areas throughout the state. Maximum coverage area and milk processing overhead costs are used to identify suitable locations for intermediate milk collection centers …

An Observational Census Of Post-Merger Galaxies And Supermassive Black Hole Pair Evolution, Gregory Walsh

Graduate Theses, Dissertations, and Problem Reports (ETD)

Massive galaxy mergers are a fundamental consequence of the dynamic evolution of the Universe and play a central role in the evolution of galaxies. Because all massive galaxies harbor a central supermassive black hole (SMBH; M ≥ 10⁶ M_⊙), studying these merging systems with electromagnetic (EM) techniques constrains galaxy evolution models and provides a systematic means to examine the astrophysical mechanisms that facilitate the growth of SMBHs. These growing SMBHs are observable across the EM spectrum as Active Galactic Nuclei (AGN). Massive galaxy mergers are a natural formation mechanism for an SMBH pair, eventually evolving into an …

Use Of Interlaboratory Studies For The Development Of Consensus-Based Criteria For The Elemental Analysis Of Electrical Tapes, Lacey M. Leatherland

Graduate Theses, Dissertations, and Problem Reports (ETD)

Tape evidence is often used in criminal cases involving violent crimes, kidnappings, improvised explosive devices (IEDs), and drug trafficking. This evidence can reveal potential links between suspects, items, or scenes. The forensic examination of electrical tape can provide investigative leads or offer support to alternative hypotheses evaluated in the courtroom. A conventional analytical scheme includes microscopic examination, Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy Energy Dispersive Spectrometry (SEM-EDS), and Pyrolysis Gas Chromatography Mass Spectrometry (Py-GC/MS). Elemental analysis of electrical tapes is commonly achieved using SEM-EDS; however, recent scientific literature suggests that this analysis can evolve from using SEM-EDS to …

Reconstructing Δ14c Production Events Using Tree Rings: Does Tree Physiology Affect Estimates Of Atmospheric Δ14c?, Meagan Rory Walker

Graduate Theses, Dissertations, and Problem Reports (ETD)

Cosmic rays and solar energetic particles (SEP) bombard the Earth’s geomagnetic field, posing a threat to satellites, space stations, and human space exploration. These rays and particles also produce radiocarbon (¹⁴C) in Earth’s atmosphere, thus records of past ¹⁴C concentration in the atmosphere may be indicative of past cosmic and solar activity. Rapid increases in the concentration of atmospheric radiocarbon ¹⁴C, (Miyake events) first identified in tree rings, are thought to be a result of solar eruptive activity triggering the release of solar energetic particles, though the precise nature of past events remains unresolved. The first …