Digital Commons Network^™

Using Touchmath® As An Intervention For Students With Disabilities At A Public Montessori School, Anne M. Cox

Graduate Theses, Dissertations, and Problem Reports (ETD)

Students with high-incidence disabilities enrolled in public Montessori elementary schools do not always make adequate growth in mathematics using traditional Montessori materials and instruction. While direct instruction methods are not typically used in a Montessori setting, such teaching practices have been proven to be successful when teaching students with disabilities.

This study analyzed the effects of an evidence-based math intervention, TouchMath^®, on the addition fact fluency and acquisition of double-digit addition skills of elementary students with disabilities who receive small-group special education instruction in a public Montessori school. The students’ confidence levels before and after receiving the intervention …

Analysis Of Pulsar Discoveries And Pulse Profile Variability: From Pulsar Candidates To Gravitational Wave Detector, William Carl Fiore

Graduate Theses, Dissertations, and Problem Reports (ETD)

Last year, pulsar timing arrays (PTAs) reported evidence of a gravitational-wave (GW) background at nanohertz frequencies, opening a new window into the Universe. PTAs measure GW-induced variations in the timing of radio pulses from millisecond pulsars (MSPs) in our Galaxy. In order for PTA experiments to confidently detect and characterize the GW background, they must continue to regularly observe many MSPs and measure their pulse times of arrival as precisely as possible. This motivates efforts to find new MSPs with pulsar surveys, and to study pulsars whose unusual behavior may give rise to excess noise in PTA data sets, potentially …

A Floquet Solver For Time Periodic Open Quantum Systems, Fenton Ross Clawson

Graduate Theses, Dissertations, and Problem Reports (ETD)

Computational physics has been a backbone of experimental and theoretical physics since the 1940’s, when the first nuclear bomb and ballistic simulations were per- formed at Los Alamos Laboratory. Nowadays, however, simulation of open quan- tum systems has been formalized into coding packages and user-friendly functions, such as QuTiP or Qiskit, which allow users to simulate these systems without hav- ing the in-depth knowledge required to build the computational backbone from the ground-up. With the shift in modern quantum physics towards the realization of quantum computation, a strong computational background is still necessary to lend validity to theoretical results and …

An Investigation Of Relations Between Developmental Stage, Impulsivity, And False Confessions, Madison G. Gallimore

Graduate Theses, Dissertations, and Problem Reports (ETD)

The current study examined relations between developmental stage, impulsivity, and false confessions. Based on the findings from Tervo-Clemmens et al. (2023), participants were divided into two groups based on age; ages included those who had not yet reached executive functioning maturation (12-to-20-years-old) and those who had reached executive functioning maturation (21-to-37-years-old). Impulsiveness was determined by performance on a delay-discounting task based on Mok et al. (2020) and the Barratt Impulsivity Scale-11 (BIS-11) Self-control subscale. False confessions were measured based on whether participants orally admitted to a minor wrongdoing. All participants experienced the same study procedure. The false confession paradigm utilized …

Investigating The Effect Of Sign-Tracking On Attention And Perceptual Inference, Maria C. Potts

Graduate Theses, Dissertations, and Problem Reports (ETD)

Previous research has shown that animals vary in the degree to which they attribute incentive salience to reward predictive cues. In Pavlovian conditioning, two behavioral phenotypes emerge: goal-tracking (GT), in which animals approach the site of the reward, and sign-tracking (ST), in which animals approach the conditioned stimulus and interact with it as if it has become a reward in its own right. ST has been associated with higher rates of impulsivity, drug reinstatement, and relapse, and is thought to confer addiction vulnerability. Though some studies have suggested that similar phenotypes exist in humans and are possibly related to addiction …

Aberrant Lipid Accumulation And Retinal Pigment Epithelium Dysfunction In Prcd-Deficient Mice, Sree Indrani Motipally

Graduate Theses, Dissertations, and Problem Reports (ETD)

Progressive Rod-Cone Degeneration (PRCD) is a peripheral membrane protein predominantly expressed in photoreceptor outer segment (OS) disc membranes with an unknown function. Several mutations in Prcd are implicated in Retinitis pigmentosa (RP) in humans. The most common “cysteine to tyrosine” (C2Y) mutation in Prcd leads to progressive retinal atrophy in multiple dog breeds and RP in humans. Canine models harboring the C2Y mutation in Prcd show disorganized OS structure with greatly attenuated photoreceptor OS renewal rates. Recent studies show defects in the photoreceptor nascent disc flattening in the absence of Prcd. However, it is unclear how OS discs eventually …

Return To Soil, Lindsay Jo Mccarty

Graduate Theses, Dissertations, and Problem Reports (ETD)

This document outlines my artistic research on building a symbiotic relationship with land throughout life and death, eco-philosophy, and the significance of natural decomposition. It explores green burial practices in Western society, delves into the history of basketry, and draws inspiration from the mutualistic effort of returning our organic energy to the Earth. The recontextualization of what “death” is and reciprocal outlooks are central to this work. My aim is to honor this cycle through creations that incorporate plant matter in hopes that, one day, I can create artwork with completely compostable materials.

My art embodies these themes and is …

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 …

Overturning Race-Conscious Admissions: Analyzing The History Of Higher Education Affirmative Acton Legal Discourse And Preserving Whiteness, Hiba A. Qari

Graduate Theses, Dissertations, and Problem Reports (ETD)

Although researchers have investigated Affirmative Action, few have attempted to understand and explain the language mechanisms shaping public opinion and policy. The purpose of this study was to explore the historical context of higher education Affirmative Action legal discourse. This study employed Critical Discourse Analysis and Critical Race Theory to analyze how language and race, as social constructs, maintain White dominance in law and higher education. The thematic concepts included power, White normativity, and diversity rhetoric. This project explored the historical evolution of the U.S. Supreme Court’s decisions on Affirmative Action policy in higher education. The study also investigated the …

Development Of Dynamic Modeling And Estimation Techniques For Condition Monitoring Of Advanced Energy Systems, Vivek Saini

Graduate Theses, Dissertations, and Problem Reports (ETD)

The integration of renewable energy sources into the electric grid requires the current fleet of fossil-fired power plants to operate more flexibly, leading to frequent load changes that stress critical high temperature boiler components that were primarily designed for base load operations. The more complex operating scenarios can modify component damage, compromising reliability and increasing operational costs. To ensure efficient plant operations, adaptive condition monitoring tools generalizable for different plant configurations are essential for recognizing the impacts of load-following, improving safety, and preventing outages. This dissertation work is primarily focused on the development of advanced modeling and estimation techniques frameworks …

The Sociology Of Bail Reform: Crime, Social Interaction, And Offender Experiences In Rurality., Scott Kevin Turner

Graduate Theses, Dissertations, and Problem Reports (ETD)

The study sought to explore the impact of the New York State “Bail Reform Act of 2019,” in rurality. It examined some of the legislative goals of the law, the claim that it caused crime, and offender experiences in rurality. Secondary data was used to map the rural crime landscape and primary data was collected from offenders during face to face interviews. The study was framed using deterrence and opportunity approaches and situated within the broader field environments; legislative, courtroom, and community. The research failed to find support for the claim that bail reform caused crime. Instead, it revealed that …

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 …

Fingerphoto Deblurring Using Wavelet Style Transfer, David Connard Keaton

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work focuses on a deblurring network designed specifically for the task of deblurring contactless fingerprints, a.k.a fingerphotos. This network takes the general idea of style transfer, and applies it to the realm of deblurring. The standard use case for style transfer networks is artistic style transfer, which is used for recreational purposes. For this work, though, style transfer is used in the context of deblurring. Since style transfer can transfer artistic styles from one image to another, who's to say it can’t transfer clarity and sharpness as well? This is the focus of this work; taking a blurry fingerphoto, …

Static Response Of Frp Structural Systems – Piles, Platforms, And Poles, Manish Adhikari

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study addresses the static response of three Fiber Reinforced Polymer (FRP) structural systems (piles, platforms, and poles) under static loads. This research aims to improve safety and sustainability in modern infrastructure by bridging the knowledge gap currently that exists between the experimental behavior and theoretical predictions.

FRP round piles (18-inch in diameter) were tested under axial compression, shear, four-point bending and fatigue. Both the load-deflection and stress-strain responses were analyzed. Coupon tests were conducted and related to the outcomes of full-scale test data. Two major differences were observed in the response of the bending test specimens with modulus of …

Efficient Classification Of Very High Resolution Images, Mohammad I. Nouyed

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent decades, deep learning approaches have shown significant improvement in various image understanding tasks. However, analysis of high-resolution images remains a major challenge. In this work, we address the challenge of very high-resolution histopathological image (VHRHI) classification using a new information-theoretic discriminative patch selection approach. We show results on a high-resolution image dataset, namely, gigapixel whole slide tissue images for cancer tumors. Then we address how to efficiently classify challenging histopathology images, such as gigapixel whole-slide images for cancer diagnostics with image-level annotation. These ``weak labels'' are applied throughout the image but describe tumor regions of variable sizes and …

It's Written All Over Your Face: A Cultural And Gender History Of The Face In The Middle Ages, 1170-1500, Lacey N. Bonar Hull

Graduate Theses, Dissertations, and Problem Reports (ETD)

At a time of vast social and cultural shifts, people living in western Europe from the late twelfth to the late fifteenth centuries developed and employed methods to “read” the faces of others. This practice promoted the interpretation of inner qualities from external appearances, often used to communicate adherence to or deviation from boundaries of gendered behaviors. My project explores medieval understandings concerning this particular feature of the human body, analyzing discourses concerning the face as a site of symbolism for inner character. While scholars have studied understandings of the self and the “Other” during this period, the role of …

Machine Learning Based Intrusion Detection Framework For Can Bus Vulnerabilities In Modern Vehicles, Obinna C. Agbo

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Controller Area Network (CAN) bus is a crucial communication backbone in modern vehicles, connecting various Electronic Control Units (ECUs). However, inherent design weaknesses such as the lack of encryption and authentication make CAN networks vulnerable to cyber-attacks, including spoofing, Denial of Service (DoS), and fuzzing attacks. This thesis thoroughly evaluates these vulnerabilities and the limitations of existing security frameworks like Message Authentication Codes (MACs) and encryption, advocating for the adoption of Intrusion Detection Systems (IDS) as a more practical solution for CAN bus security. The proposed IDS leverages advanced machine learning techniques to accurately detect intrusions, even under complex …

Effect Of Specific Data Variations On Automated Speaker Recognition, Ethan David Meighen

Graduate Theses, Dissertations, and Problem Reports (ETD)

Speaker recognition is not a new biometric modality but there are still many obstacles in the way in order for it to become as used as fingerprint recognition, facial recognition, and iris recognition. Many real-world environmental conditions, hardware device variations, and human behavior present serious challenges to the use of opportunistic voice or speaker samples for identification purposes. Non-idealities, identified as nuisance factors, include environmental noise, input device quality, length of utterance, sample rate variation, and unscripted data are common nuisance factors that can impact speaker recognition match score performance. The impact of the nuisance factors listed above were evaluated …

Recovery Of Natural Gas Equipment Emissions Into Gas Compression Engines For The Reduction Of Potential Greenhouse Gas Emissions, John Eric Casto

Graduate Theses, Dissertations, and Problem Reports (ETD)

Since the turn of the millennium, the United States (U.S.) oil and natural gas (ONG) industry has nearly doubled its natural gas production rate. As a result, the ONG industry has recently come under increasing scrutiny for its contributions to greenhouse gas (GHG) emissions. Consequently, various solutions to this problem have been proposed and formulated to reduce the impacts of GHG emissions on the environment. West Virginia University (WVU) have found it important to research the impacts of recovering vented gas streams into prime-mover engines. The U.S. Department of Energy (DOE) and National Energy Technology Laboratory (NETL) have granted WVU …

Implementation Of A Targeted “Micro-Learning” Inpatient Diabetes Education Program In A Rural Hospital Setting, Melissa Lynn Fannon-Wisner

Graduate Theses, Dissertations, and Problem Reports (ETD)

Introduction/Background: Diabetes affects a large portion of Americans and West Virginians annually. Inpatient hospitalization provides an opportunity to provide evidence-based diabetes education to patients. A lack of access to diabetes education at rural hospitals across the United States exists, creating a need for patients who require education while hospitalized. An intervention needs to be explored to bridge the gap for patients that need education when the diabetes educator is not available.

Purpose: The purpose of this Doctor of Nursing Practice (DNP) project is to create and implement a video micro-learning diabetic education series that can be utilized for diabetes self-management …

Improving Awareness And Identifying Risks For Emergence Delirium In Military Veterans, Hannah E. Pino

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Emergence delirium (ED) is an acute state of confusion during the recovery phase from anesthesia that may be life-threatening, especially in the veteran population. Military veteran status may be explored by the Have You Ever Served questionnaire that was developed by the American Academy of Nursing to identify veterans upon admission to the hospital and thus be able to better care for them during their stay. This campaign has been in effect at the hospital site of this project for nearly 10 years. The questionnaire identifies military history risk factors such as combat history or a diagnosis of post-traumatic …

Prediction Of Anomalous Events With Data Augmentation And Hybrid Deep Learning Approach, Ahmed Shoyeb Raihan

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study, we propose a novel anomaly detection framework designed specifically for Multivariate Time Series (MTS) data, addressing the prevalent challenges in analyzing such complex datasets. The detection of anomalies within MTS data is notably difficult due to the complex interplay of numerous variables, temporal dependencies, and the common issue of class imbalance, where one category significantly outnumbers another. Traditional deep learning (DL) approaches often fall short in simultaneously tackling these issues. Our framework is designed to address these challenges through a two-phased approach. Phase I employs Conditional Tabular Generative Adversarial Networks (CTGAN) to create strategic synthetic data, setting …

Associations Between Diabetes-Specific Psychological Flexibility, Family Conflict, Parental Distress And Adherence In Adolescents With Type 1 Diabetes, Rebecca I. Laquaglia

Graduate Theses, Dissertations, and Problem Reports (ETD)

Background: Type 1 diabetes (T1D) is a chronic disease that impacts the lives of millions of children and adolescents in the United States. Adherence to diabetes medical regimens is often challenging, particularly among adolescents. Based on previous research, diabetes-specific psychological flexibility, or the ability of an individual with T1D to psychologically adjust to, accept, and commit action to manage their diagnosis, may improve adherence in youth with T1D. Factors such as diabetes-specific family conflict (i.e., conflict within parent-child dyads that is specifically related to T1D management) and diabetes-specific parental distress (i.e., emotional distress experienced by a parent or caregiver as …

Usage Of Peer Mentoring Workbooks: Enhancing The Transition Of College Students With Intellectual And Developmental Disabilities, Taylor Nicole Grout

Graduate Theses, Dissertations, and Problem Reports (ETD)

This doctoral capstone project assesses the impact and effectiveness of using peer mentoring workbooks as a tool to enhance the transition of college students with intellectual and developmental disabilities. A peer mentoring workbook was developed using theoretical frameworks to guide its design and identification of primary occupations, roles, and routines of college students. From here, four domains of college student life (dorm living, college social life, classroom management and participation, and community engagement and transportation) were developed to act as a framework for the workbook. Through the usage of Participatory Action Research, key stakeholders provided essential feedback that allowed for …

Limb Speed Perception Accuracy In Neurodegenerative Disease, Brandmeir Lynn Cheryl

Graduate Theses, Dissertations, and Problem Reports (ETD)

Movement is a fundamental human activity, enabling us to engage with our surroundings. Consequently, a well-operating neuromuscular system is essential for maintaining quality of life. Motion is not only integral for the basic function of daily living, but also plays a significant role in enhancing our physical, mental, and emotional health. The importance of this system becomes abundantly clear when it is compromised, such as with neurodegenerative disease.

Alzheimer’s disease (AD), followed by Parkinson’s disease (PD) are the two most common neurodegenerative diseases that profoundly affect millions of individuals worldwide (Lamptey et al., 2022). Characterized by distinct but sometimes overlapping …

Does It Sound Like I'M Talking?, Justin E. Borak

Graduate Theses, Dissertations, and Problem Reports (ETD)

Jean-Baptiste Poquelin, better known by his stage name, Molière, was widely known as one of the greatest writers in France. His biting satirical thoughts on French hypocrisy, as well as the brilliance in his verse, will be investigated through one of his most popular plays, The Misanthrope. Throughout these pages, I will explore this by diving into the character of Philinte, the trusted best friend of Alceste, the misanthrope, and take a deeper look into the empathetic character who is desperately trying to walk the line of truth and bootlicking. I will accomplish this by researching Molière himself, his specific …

Bioenergy Cropping Systems Established On Marginal Lands: Effects Of Land Use, Energy Crop, And Fertility Amendments On Soil Health, Mica M. Keck

Graduate Theses, Dissertations, and Problem Reports (ETD)

Bioenergy crops offer a promising strategy for renewable energy production, accompanied by carbon (C) storage benefits when managed sustainably. Utilizing marginal lands for energy feedstock production presents an opportunity for bioenergy generation and concurrent climate mitigation without competing with food crops. However, achieving optimal yields requires strategies to restore soil fertility, which require increased understanding of the interactive effects of prior land use, energy crop species, and fertility amendments available. This study, conducted as part of the Mid-Atlantic Sustainable Biomass (MASBio) Consortium, investigated the effects of biochar incorporation—a C-rich charcoal derived from biomass, intended for soil enhancement—on bioenergy cropping systems …

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 …

Three Essays On Misinformation, Mistrust And Their Influence On Public Health Policy, Eli Kochersperger

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the first chapter I identify the impact of fentanyl exposure misinformation- namely, the erroneous belief that momentary, passive contact with the potent opioid fentanyl can be seriously harmful- on first responder behavior during overdose events, and on overall opioid-related mortality. I examine changes in opioid-related mortality following one particularly well-covered episode involving an Ohio police officer in 2017, wherein the officer appeared to experience an acute opioid overdose after touching what was believed to be fentanyl. Employing a synthetic differences-in-differences identification strategy, I find areas with greater media exposure to this misinformation exhibit marked increases in opioid overdose deaths; …

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, …