Digital Commons Network^™

A Constraint-Based Approach To Developing Melodic Improvisational Skills In Intermediate Jazz Piano Students, Alton Xian Rong Wong

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study examines the pedagogical value of a constraint-based approach in helping students develop improvisational fluency and coherence by facilitating audiation. Although there are pedagogical texts on jazz improvisation that incorporate exercises shaped by constraint-based thinking, there is neither a systematic framework for their application with students of varying levels and musical backgrounds, nor a clear explanation of their pedagogical purpose. This research investigates how constraint-based pedagogy, through the lens of rhythmic, harmonic, and melodic parameters, can be applied independently or collectively to support the development of improvisational fluency in intermediate level jazz piano improvisers. It argues that musical constraints …

Adventures In Black Hole Binary Waveform Modeling, Siddharth Mahesh

Graduate Theses, Dissertations, and Problem Reports (ETD)

The modeling of black hole binaries requires accurate descriptions of both their relativistic vacuum dynamics and their interaction with surrounding astrophysical environments. Although these problems are often treated separately, this dissertation develops a unified view: key observables of black hole binary systems can be understood by identifying the dynamical instabilities that control their evolution. In the vacuum problem, the relevant unstable structure is associated with the remnant spacetime and its role in shaping the merger-ringdown gravitational waveform. In the environmental problem, the relevant instability is the epicyclic instability of orbits in the binary potential, which controls the location and evolution …

Be A Man: Hypermasculinity And Hostile Attribution Bias As Predictors Of Violence, Kaley Nicole Potter

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years, violence has risen to record-high numbers in communities and correctional facilities, with men perpetrating the vast majority of violent crimes. Hypermasculine values (e.g., power, aggression, and domination) have been linked to aggressive and violent behavior. Hostile attribution bias, which leads individuals to attribute hostile intent to neutral or ambiguous stimuli, has also been linked to aggression.

The current study used structural equation modeling (SEM) to examine hypermasculinity and hostile attribution bias as predictors of proclivity for violence, comprised of aggression and historical violence. The model was iteratively modified to assess changes in model fit and constructs. Male …

A Digital Audio Workstation-Based Analytical Framework For Contemporary Acoustic Music: Modeling Selected Excerpts By Viet Cuong, Robert Daniel Traugh

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Digital Audio Workstation (DAW) has made sound recording, manipulation, MIDI sequencing, and digital live performance accessible to nearly anyone with a computer and an interest in digital music-making. A DAW’s functionality is modeled on decades of development in analog modular electronic instrument design and sound recording techniques. Theorist and composer Jonathan D. Kramer, through his work in the 1980’s, referred to the invention of sound recording as a catalyst of a temporal discontinuity experienced by Western-trained musicians. Since that time, these same sound recording techniques have become increasingly prevalent in modern society. This document proposes a DAW-based analytical framework …

Ai-Assisted Task Completion: Consumer Sentiments By Effort Level, Jason Mickey Martin

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study examines consumer anger in reaction to firms’ use of artificial intelligence (AI) to assist them in the completion of tasks. Specifically, we focus on instances when AI supplements rather than replaces human effort. Using cognitive appraisal theory and psychological contract constructs, this research investigates how the amount of effort consumers invest into a service review and the effort reciprocated by firms influences emotional reactions. Across two studies, using scenario-based experiments, we find that consumers report higher levels of anger when AI is used to aid in responding to high-effort reviews compared to low-effort reviews. The results suggest that …

Spatial Analyses Using Emergency Medical Services Data To Inform Healthcare., Jeffrey Alan Pesarsick

Graduate Theses, Dissertations, and Problem Reports (ETD)

Spatial analyses using Emergency Medical Services data to inform healthcare.

Jeffrey Pesarsick

Background

Emergency Medical Services (EMS) often serve as the initial entry point for patients into the healthcare system in the United States.  Rural health disparities, geographic isolation, socioeconomic disadvantages, and operational challenges create disparities in access to EMS services.  Disparities include prolonged response times, less resources available, and inequities in levels of care available.  The overall goal of these series of projects was to quantify the extent to which operational challenges in EMS data impact health, and how EMS data could be used to identify neighborhood level trends …

Among The Remnants, Jade-Lynn B. Lewis Vance

Graduate Theses, Dissertations, and Problem Reports (ETD)

This written thesis serves as supporting documentation and research for my Master of Fine Arts thesis exhibition, Among the Remnants, at West Virginia University. This dissertation will explain how my artistic vision, influences, research, and thesis exhibition fits into larger art and cultural contexts. Drawing from art history and theory, my work explores memory, touch, and fragmentation. My fascination with artifacts and the stories they hold inspires my research and drives me to create personal connections within my own art. The figurative sculptures serve as a vessel for recalling impactful experiences and embodying personal perception and these interactions. The …

Development Of Hydrogen Emissions Quantification Systems To Expand Understanding Of Leaks And Losses Associated With The Burgeoning Hydrogen Transportation Sector, Christopher Loomis

Graduate Theses, Dissertations, and Problem Reports (ETD)

To combat global warming, alternative fuels are being investigated. Hydrogen is at the forefront of this movement, advertised as having zero emissions due to the products of the energy reaction being only water. However, studies over recent decades indicate that hydrogen in the atmosphere acts as a form of greenhouse gas (GHG) by increasing the lifespan of methane in the atmosphere. Models are attempting to estimate the possible effects of a transition to a hydrogen-fueled economy but lack empirical data to provide confidence to these estimated values. There is little data that quantifies hydrogen from anthropogenic sources.

To address this …

Reducing Inorganic Phosphorus In Poultry Diets: Nutritional Constraints And Strategies For Successful Implementation, Elizabeth Ann Lynch

Graduate Theses, Dissertations, and Problem Reports (ETD)

Applied poultry nutrition and feed manufacture science can be described as a “three-legged stool” supported by pellet quality, feed hygienics, and nutrient availability, where imbalance in any one component can compromise overall bird performance. The research presented herein primarily addresses feed hygienics and nutrient availability, with pellet quality serving as an underlying theme, to better understand how processing conditions and dietary formulation influence performance and nutrient utilization.

In Chapter 2, the objective of this study was to evaluate the effects of hygienizer retention time on bacterial reduction during feed manufacture using Enterococcus faecium as a Salmonella surrogate. Pellet mill motor …

White Lies Of Time: Temporal Racialization In 19th-20th Century American Literature, Yu Uchida

Graduate Theses, Dissertations, and Problem Reports (ETD)

By examining mid-nineteenth to mid-twentieth century American literary texts, this dissertation project aims to theorize the ways in which whiteness relies on conceptualizations of time to hegemonize non-white subjects and prescribe their historical representations. Because whiteness is dynamic in its emergence and effects and ubiquitous in sociopolitical and cultural realms, this dissertation holistically turns to white, Black, and Indigenous writers to delineate how whiteness functions throughout the period and how racialized subjects negotiate it. Portraying the nation’s history as lived experience rather than objectified knowledge, the racialized authors I examine undermine the concept of linear progressive time that subtends structural …

Three Essays On Option Markets, Fangzheng Ou

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation includes three essays examining index option and stock option markets. The first essay investigates the pricing kernel puzzle by examining S&P 500 index option returns and empirical pricing kernels across expiration dates ranging from one month to one year. We document that at short maturities, out-of-the-money call option returns are negative and decrease with the strike price, while at long maturities, at least some are positive and increase with the strike price. Empirical pricing kernels predominantly exhibit a W-shape at short maturities, with this pattern becoming less pronounced and evolving toward a monotonically decreasing curve at longer maturities. …

High-Resolution Laser Diagnostics For Ion Measurements In Magnetized Plasmas, Katey Stevenson

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this work, we investigate ion heating in two plasma systems (helicon plasmas and flux rope plasmas) using the PHAse Space MApping (PHASMA) experiment. Our studies rely on high-resolution laser diagnostics, specifically laser-induced fluorescence (LIF), to measure ion velocity distribution functions (IVDFs). The temperature and bulk flow of each species are inferred from their respective VDFs. This dissertation is organized into three main parts: the study of ion heating in helicon plasmas, pulsed LIF modeling and diagnostic development, and the study of ion heating in flux rope plasmas. Helicon plasma sources efficiently generate high-density plasmas and are widely used to …

Comprehensive Evaluation Of Co₂ Eor Numerical Modeling In The Clinton Sandstone Of The Appalachian Tri-State Region Using Compositional Reservoir Simulation (Cmg Gem), Bushra Aref Alqattan

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

The Clinton Sandstone of the Appalachian Basin represents a mature hydrocarbon-producing formation with potential for carbon dioxide (CO₂) enhanced oil recovery (EOR). This study develops a compositional reservoir simulation model using the CMG software suite (WinProp, Builder, and GEM) to evaluate the performance of CO₂ injection in improving oil recovery within the Clinton formation.

A three-dimensional reservoir model was constructed using representative geological and petrophysical properties consistent with those of the Clinton Sandstone. Fluid behavior was modeled using a compositional equation-of-state (EOS) approach to accurately capture phase behavior, miscibility development, and CO₂–oil interactions under reservoir conditions. Injection scenarios were …

Using Side Looking Hydroacoustics And Community Size Spectra To Assess Invasive Carp’S Impact On Fish Assemblage Integrity, Daniel Jacob Bryan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Often accounting for over half of total fish biomass, invasive silver carp have dramatically reshaped the ecosystem of the Mississippi River and its tributaries. These high silver carp densities have been shown to affect native fish body condition, abundance, and community structure, highlighting the need for efficient methods to quantify silver carp’s effect on the native fish assemblage. Community size spectra (CSS) is a metric that quantifies fish assemblage body size structure based on the decrease in fish abundance with increasing size. To estimate silver carp’s effects on CSS in the Ohio River, side looking hydroacoustic monitoring was used alongside …

Development And Additive Manufacturing Of Uv And Dual-Curable Elastomers For Soft Robotic Actuators And Embedded Sensors Via Direct Ink Writing, Emrah Demirkal

Graduate Theses, Dissertations, and Problem Reports (ETD)

The advancement of soft robotics requires materials and manufacturing methods that combine large deformation, structural stability, and integrated sensing within a single soft system. Conventional fabrication techniques often limit design flexibility and the incorporation of functional materials into soft structures. This dissertation addresses these challenges through the development of UV-curable and dual-curable silicone elastomers for the direct ink writing (DIW) of soft robotic actuators and embedded sensors.

UV-curable elastomers were first synthesized through thiol-ene click chemistry using poly(mercaptopropylmethylsiloxane) (MMPS) and vinyl-terminated polysiloxane (VPS). Their curing behavior, rheological response, printability, and mechanical properties were evaluated for DIW. These materials enabled rapid …

A Fine-Scale Genomic Study Of Cheat Mountain Salamanders (Plethodon Nettingi) On Managed Public Land, Amylynn Nicole Ephraim

Graduate Theses, Dissertations, and Problem Reports (ETD)

Habitat fragmentation has the potential to isolate localized populations, particularly those which are understood to have limited dispersal capabilities. This isolation can reduce genetic diversity through the effects of inbreeding depression, and small populations are more susceptible to the impacts of genetic drift. In this study, I aim to understand the level of genetic connectivity between known occupied patches of Cheat Mountain salamanders (Plethodon nettingi; CMS) on managed public land. CMS are a federally threatened, high-elevation, West Virginia endemic species associated with red spruce (Picea rubens) forests. I used double-digest restriction site associated DNA (ddRAD) sequencing …

Plant Invasion Patterns In Understory And Soil Microbial Communities Of North Central West Virginia Mixed Hardwood Forests, Isabelle Marie Uganski

Graduate Theses, Dissertations, and Problem Reports (ETD)

Invasive plants alter forest ecosystems by reducing species richness, habitat heterogeneity, and nutrient cycling as they rapidly displace native plants. Invasive plant composition can influence soil health through altering soil microbial associations and communities. By studying the mechanisms in which invasives alter above- and below-ground communities, we can better understand whole-ecosystem impacts and inform management decisions. This study examined the relationships between co-occurring invasion on above and belowground communities of mixed hardwood forests of north central West Virginia. Despite distinctive associations with aboveground characteristics (native diversity, native tree regeneration, and leaf litter density) we detected limited changes to soil microbial …

A Multiobjective Framework For Joint Coverage And Motion Planning In Uav Inspection Tasks, Luis Fernando Escobar Carvajal

Graduate Theses, Dissertations, and Problem Reports (ETD)

Unmanned Aerial Vehicles (UAVs) have become essential for data acquisition in complex 3D environments. However, traditional Coverage Path Planning (CPP) methodologies often rely on a sequential pipeline that isolates viewpoint generation from flight path routing. This decoupling fails to account for the interdependence between viewpoint distribution and minimum flight paths, effectively restricting the search space and preventing the identification of a global optimum. This dissertation proposes a unified multi-objective framework for joint coverage and motion planning. The primary contribution of this work is the transition from isolated, sequential steps to a simultaneous optimization of the number and position of viewpoints …

Multi-Grade Deep Learning, Yuesheng Xu

Mathematics & Statistics Faculty Publications

Deep learning requires solving a nonconvex optimization problem of a large size to learn a deep neural network (DNN). The current deep learning model is of a single-grade, that is, it trains a DNN end-to-end, by solving a single nonconvex optimization problem. When the layer number of the neural network is large, it is computationally challenging to carry out such a task efficiently. The complexity of the task comes from learning all weight matrices and bias vectors from one single nonconvex optimization problem of a large size. Inspired by the human education process which arranges learning in grades, we …

Multiple Changepoint Detection For Non-Gaussian Time Series, Robert Lund, Thomas J. Fisher, Norou Diawara, Michael Wehner

Mathematics & Statistics Faculty Publications

This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios. When the marginal distribution of the data is continuous, the methods essentially reduce to the change of variables formula for probability densities. When the marginal distribution is count‐oriented, Hermite expansions and particle filtering techniques are used to quantify the scenario. Simulations demonstrating the efficacy of the methods are given and two data sets are analyzed: 1) the proportion of home runs hit by …

Adaptive Multi-Grade Deep Learning For Highly Oscillatory Fredholm Integral Equations Of The Second Kind, Jie Jiang, Yuesheng Xu

Mathematics & Statistics Faculty Publications

This paper studies the use of Multi-Grade Deep Learning (MGDL) for solving highly oscillatory Fredholm integral equations of the second kind. We provide rigorous error analyses of continuous and discrete MGDL models, showing that the discrete model retains the convergence and stability of its continuous counterpart under sufficiently small quadrature error. We identify the DNN training error as the primary source of approximation error, motivating a novel adaptive MGDL algorithm that selects the network grade based on training performance. Numerical experiments with highly oscillatory (including wavenumber 500) and singular solutions confirm the accuracy, effectiveness and robustness of the proposed approach.

A New Functional Setting For Term Structure Modeling Using The Health-Jarrow-Morton Framework, Michael Pokojovy, Ebenezer Nkum, Thomas M. Fullerton Jr.

Mathematics & Statistics Faculty Publications

The well-known Heath–Jarrow–Morton (HJM) framework provides a universal and efficacious instrument for modeling the stochastic evolution of an entire yield curve by explaining the interest rate dynamics in continuous time under no-arbitrage conditions. Existing implementations involve exponentially weighted function spaces as theoretical settings for the former stochastic evolution. While the choice of weight can have a drastic effect on model calibration and subsequent forecasting, it cannot be estimated from market data and does not allow for any objective interpretation. The proposed approach does not have this shortcoming as it adopts a suitably designed unweighted function space. The HJM equation is …

The Adaptive Solution Of High-Frequency Helmholtz Equations Via Multi-Grade Deep Learning, Peiyao Zhao, Rui Wang, Tingting Wu, Yuesheng Xu

Mathematics & Statistics Faculty Publications

The Helmholtz equation is fundamental for modeling wave propagation in acoustics, electromagnetics, and geophysics; however, high-frequency regimes remain notoriously difficult due to the severe numerical “pollution effect.” We propose FD-MGDL, an adaptive framework that synergizes finite difference discretizations with Multi-Grade Deep Learning (MGDL) to efficiently resolve high-frequency wavefields. Unlike standard physics-informed neural networks (PINNs), which frequently suffer from spectral bias and heavy automatic differentiation overhead, FD-MGDL employs a progressive, grade-wise training strategy that incrementally incorporates shallow sub-networks to refine residual errors. By leveraging ReLU activations in refinement grades, the framework reformulates the highly non-convex global optimization problem into a sequence …

Integrating Genetic Modifier Genotype With Serum Proteomics In Duchenne Muscular Dystrophy Clinical Trials Links Ltbp4 Genetic Modifier To Il-23/Cd93 Pathways In Muscle, Utkarsh J. Dang, Yuan Fang, Daniele Sabbatini, Elena Pegoraro, Luca Bello, Paula R. Clemens, Michela Guglieri, John Van Den Anker, Jesse Damsker, Laura Hagerty, Yetrib Hathout, Michael Ziemba, Lauren Morgenroth, Surajit Bhattacharya, Kanneboyina Nagaraju, Jyoti K. Jaiswal, Eric P. Hoffman

Mathematics & Statistics Faculty Publications

Genetic modifiers of Duchenne muscular dystrophy (DMD) that alter disease severity or response to therapy have been reported using natural history or registry data sets of older corticosteroid-treated patients. We tested associations of genetic modifiers on motor function outcomes in young (4 to <  7 years) steroid naïve clinical trial participants. Participants in clinical trials (VBP15-002/003 [n = 48]; VBP15-004 [n = 121]; DNA available for n = 110) were genotyped for eight published genetic modifier loci, and associations of genotypes with baseline motor function defined via an age-adjusted linear model. Corticosteroid drug response was modeled by genotype-stratified placebo vs. steroid treatment at 12- and 24-weeks posttreatment (mixed model for repeated measures). …

The Mercury 2026

The Mercury

No abstract provided.

Gettysburg Historical Journal 2026

The Gettysburg Historical Journal

Complete issue of the Gettysburg Historical Journal 2026

Front Matter

The Gettysburg Historical Journal

Front matter of the Gettysburg Historical Journal 2026

Accessing Campus Mental Health Services In A Nigerian Southwestern University: Barriers To Academic Success, Caroline Dada

Electronic Theses and Dissertations

Mental health disorders are a significant health concern among higher education institutions in sub-Saharan Africa, including Nigeria. A substantial treatment gap exists in the Nigerian healthcare system, and this gap is further worsened by cultural and religious barriers, which reinforce stigma that discourages students from seeking professional help. This qualitative narrative inquiry explored the barriers students encountered when accessing mental health services at a university in Southwestern Nigeria, to increase service access. Qualitative semistructured interviews were conducted with seven professional mental health providers at a university counseling center between March and April 2025. Inductive thematic analysis was used to identify …

Faculty Perceptions Of Engaging Generation Z Students Through Positive Education In The Classroom, Ashley D. Ragsdale

Electronic Theses and Dissertations

This qualitative study examined the engagement gap between Generation Z students and faculty in higher education, emphasizing how positive education approaches can help faculty become more confident and effective instructors. Generation Z students prefer instant internet access and digital learning, have shorter attention spans, and tend to be disengaged when instructors rely on traditional teaching methods. After the COVID-19 pandemic, this engagement gap became more evident. This basic qualitative study used semistructured interviews, reflexive journaling, and nonparticipatory observations. Participants included full-time health science faculty at a private university in central Texas. Each had at least 2 years of teaching experience …

Welfare Litigation, State Courts, And Social Citizenship, Andrew Hammond

Articles by Maurer Faculty

For half a century, federal courts have stood at the center of welfare rights enforcement. That era is ending. The One Big Beautiful Bill Act’s historic cuts to Medicaid and SNAP will generate an avalanche of benefit terminations, work requirement sanctions, and overpayment actions from state agencies. And with a federal judiciary increasingly hostile to the private enforcement of public law, state courts will become not just a concurrent forum for welfare litigation, but an increasingly important one. Understanding how state courts have handled welfare litigation over the past three decades, then, is essential to anticipating what comes next. This …