Digital Commons Network^™

The Effect Of Sars-Cov-2 On Bacterial Diversity And Abundance In Community Wastewater, Joshua Lambert

Graduate Theses, Dissertations, and Problem Reports (ETD)

Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) enters human respiratory cells through binding of its spike (S) protein to the ACE-2 receptor, which is highly expressed in lung cells, but is also found in over 150 other cell types encompassing major organs including GI enterocytes. SARS-CoV-2 causes gut dysbiosis in infected individuals and patients with COVID-19 and also coincides with lower alpha diversity of the individual’s gut microbiome. Certain gut microbiome-associated genera are lower in abundance in COVID-19 patients including Lachnospira, Prevetolla, Roseburia, Bifidobacterium, and Faecalibacterium while genera such as Bacteroides, Enterococcus and Proteobacteria are increased during a SARS-CoV-2 …

Sleep, Endocannabinoid Signaling, And Cortical Processing In Mouse Models Of Autism Spectrum Disorder, Bryan Rodriguez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Sleep plays a crucial role in memory consolidation, neuronal plasticity, and cognitive function. Individuals with autism spectrum disorder (ASD) often experience sleep disturbances, which are positively correlated with symptom severity. However, on the surface, sleep architecture is remarkably normal under baseline conditions in many rodent models of ASD. The goals if this dissertation were to investigate whether regulation of sleep, biochemical signaling during sleep, and downstream consequences of sleep on behavior are altered in two mouse models of ASD. In Aim 1, we tested the hypothesis that sleep phenotypes emerge in ASD models under conditions of high sleep pressure. We …

A Strategic Infrastructure Improvement Framework For Intermodal Transportation Networks, Ayoub Abusalih

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this research, we propose a novel approach to design infrastructure networks for intermodal freight transportation systems, which incorporates railways, highways, and inland waterways (IWW). The objective of our study is to identify the optimal set of hubs to be built and operated over an extended time, based on the projected domestic cargo demand. Unlike traditional hub location models, our approach introduces hybrid hubs, where hybrid transportation modes are integrated to facilitate cargo handling. This innovative integration enables more efficient intermodal connections, leading to tangible reductions in operating costs, and carbon emissions. Specifically, we propose a mixed integer programming model …

Quantitative Assessment Of Knee Joint Stability Using Inertial Measurement Units In Patients With Acl Reconstruction Performing Single-Legged Hopping Tasks, Haley Hartman-Mongold

Graduate Theses, Dissertations, and Problem Reports (ETD)

Purpose: The purpose of this study was to examine proximal tibial IMU accelerations between the involved limb and uninvolved limbs of individuals who have undergone ACL reconstruction performing the single-leg hop test battery and to correlate these results to deficits in quadriceps strength and distance hopped. Methods: Thirty-four subjects (19 male, 15 female; age = 20.5 ± 6.7 years; mass = 76.4 ± 15.8 kg; height = 1.74 ± .08 cm) who have undergone unilateral ACL reconstruction were recruited for this study. An isokinetic dynamometer was used to assess the knee extension peak torque on the involved and uninvolved limbs. …

Scenic Design For Jen Silverman’S Phoebe In Winter, Jess A. Ford

Graduate Theses, Dissertations, and Problem Reports (ETD)

This document is a narrative of the Scenic Design process for Jen Silverman’s Phoebe in Winter, designed by Jess Ford. The process includes a detailed summary and analysis of the script, the stages in the creation of the design, the final design, build, technical rehearsals, and the final product. This production was produced by West Virginia University’s School of Theatre & Dance during the Fall 2024 semester, presented in the Gladys G. Davis Theater at the Canady Creative Arts Center in Morgantown, WV.

The Stochastic Occupation Kernel (Sock) Method For Learning Stochastic Differential Equations, M. L. Wells, Kamel Lahouel, Bruno Jedynak

Mathematics and Statistics Faculty Publications and Presentations

We present a novel kernel-based method for learning multivariate stochastic differential equations (SDEs). The method follows a two-step procedure: we first estimate the drift term function, then the (matrix-valued) diffusion function given the drift. Occupation kernels are integral functionals on a reproducing kernel Hilbert space (RKHS) that aggregate information over a trajectory. Our approach leverages vector-valued occupation kernels for estimating the drift component of the stochastic process. For diffusion estimation, we extend this framework by introducing operator-valued occupation kernels, enabling the estimation of an auxiliary matrix-valued function as a positive semi-definite operator, from which we readily derive the diffusion estimate. …

Mock: An Algorithm For Learning Nonparametric Differential Equations Via Multivariate Occupation Kernel Functions, Victoria A. Rielly, Kamel Lahouel, Ethan Lew, Nicholas Fisher, Vicky Geneva Haney, Michael Wells, Bruno M. Jedynak

Mathematics and Statistics Faculty Publications and Presentations

Learning a nonparametric system of ordinary differential equations from trajectories in a -dimensional state space requires learning functions of variables. Explicit formulations often scale quadratically in unless additional knowledge about system properties, such as sparsity and symmetries, is available. In this work, we propose a linear approach, the multivariate occupation kernel method (MOCK), using the implicit formulation provided by vector-valued reproducing kernel Hilbert spaces. The solution for the vector field relies on multivariate occupation kernel functions associated with the trajectories and scales linearly with the dimension of the state space. We validate through experiments on a variety of simulated and …

Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Medical image harmonization aims to reduce the differences in appearance caused by scanner hardware variations to allow for consistent and reliable comparisons across devices. Harmonization based on paired images from different devices has limited applicability in real-world clinical settings. On the other hand, unpaired harmonization typically does not guarantee anatomy consistency, which is problematic because anatomical information preservation is paramount. The Schrödinger bridge framework has achieved state-of-the-art style transfer performance with natural images by matching distributions of unpaired images, but this approach can also introduce anatomy changes when applied to medical images. We show that such changes occur because the …

Unsupervised Oct Image Interpolation Using Deformable Registration And Generative Models, Shuwen Wei, Samuel W. Remedios, Bruno Jedynak, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors

Mathematics and Statistics Faculty Publications and Presentations

Optical coherence tomography (OCT) images are often acquired as highly anisotropic volumes, where the scanning step is dense along the fast axis but sparse along the slow axis. This affects image analysis, such as image registration for longitudinal alignment. To create more isotropic volumes, bicubic interpolation can be used along the slow axis, but it generally produces blurry features. Registration-based interpolation can reduce blurriness, but often fails to generate realistic OCT images. Deep generative models can sample realistic images, but lack the structural consistency constraints required for interpolation. In this paper, we propose an unsupervised image interpolation method that combines …

Belonging: Data Reasoning, About Ourselves And Others, Eva Thanheiser, Molly Robinson, Simon Byeonguk Han, Amanda Sugimoto, Courtney Koestler, Mathew Felton-Koestler

Mathematics and Statistics Faculty Publications and Presentations

Using Watson’s belonging framework and GAISE II data reasoning, this lesson invites students to collect, analyze, and represent personal data. In doing so, they see themselves and their peers reflected in the work, reinforcing their value as active participants in both mathematical thinking and the classroom community.

The Hidden Cost Of Venture Capital, Emilie Aguirre

Faculty Scholarship

Founders, employees, consumers, and even funders increasingly expect businesses to pursue social goals alongside financial performance. Yet even the most committed firms have found it difficult to maintain social performance over time. Scholars in economics, management, and law have put forth several explanations for this “mission drift,” including inappropriate governance, poor management, lack of genuine commitment, and threat of takeovers. Puzzlingly, research to date primarily focuses on later-stage firms, even though the events and decisions that take place in a firm’s early stages can critically impact retention of its social performance.

Drawing from over five years of qualitative field research …

Plea Tracking In The Durham County District Attorney’S Office: Second Report On Superior Court Cases Pled From April 2021 To November 2023, Kelly Evans, Elizabeth Gifford, Brandon L. Garrett

Faculty Scholarship

No abstract provided.

Technologies Of Violence: Law, Markets, And Innovation For Gun Safety, Joseph Blocher, Christopher Buccafusco

Faculty Scholarship

Violence in the United States is distinctive in many ways, perhaps none more visceral and fundamental than the technologies with which it is practiced. American violence disproportionately involves guns, and because guns are such an effective tool of violence, confrontations involving them are disproportionately deadly. Decades of research confirm this "instrumentality effect, " and it is reflected in the broad, bipartisan agreement that the nation has a gun violence problem. The deep disagreement, of course, remains about how to address it, with most of the debate focused on regulating who can carry which guns, where, and how.

But fully understanding, …

The Judicial Administrative Power, Jonathan Petkun, Joseph Schottenfeld

Faculty Scholarship

Article III of the Constitution confines the “judicial Power of the United States” to the adjudication of “cases” and “controversies.” In practice, however, federal judges exercise control over, and spend their scarce time on, a wide range of activities that traverse far beyond any individual adjudication. Typically classified as a form of “judicial administration,” these activities span everything from promulgating the rules of the various federal courts to overseeing federal pretrial detention services or choosing federal public defenders.

This Article describes how judges became involved in these nonadjudicatory Article III activities, clarifies the activities’ relationship to Article III adjudication, and …

Opening The Channels And Speeding The Game: A Short History Of Transactional Forms, Laura M. Scott

Faculty Scholarship

Citators, digests, annotated codes. These standard legal research tools, developed by generations of lawyers and now adapted for the online era, tend to be the province of litigators. Transactional lawyers may also occasionally use these tools, but for the practitioner making and documenting commercial, corporate, real estate, or securities deals, legal forms are often a more useful tool. Used judiciously, these sample documents make drafting more efficient, guide junior business lawyers through unfamiliar transactions, and help identify legal issues to be researched.

For today’s dealmakers, online transactional forms are essential research and drafting tools in their own right, but examining …

The Dangerous Rise Of Dual-Use Objects In War, Oona A. Hathaway, Azmat Khan, Mara R. Revkin

Faculty Scholarship

Each day, the news brings stories of military attacks on schools, hospitals, apartment buildings, electrical facilities, and other critical civilian infrastructure. The militaries attacking these objects often seek to justify the attacks by claiming that the civilian objects are being used by militants. Objects that are believed to have both military and civilian use are often referred to as “dual-use” objects. Even though the term has become common, international law does not recognize a “dual-use” object as a legally meaningful category. Rather, the postwar Geneva Conventions that lie at the core of modern international humanitarian law establish a bright line …

Shareholder Litigation In Delaware: An Empirical Investigation, James D. Cox, Randall S. Thomas, Lynn Bai

Faculty Scholarship

The empirical study of shareholder litigation in state courts is a seriously underexamined subject. To remedy this gap, we collected data on all 4,741 fiduciary duty complaints filed in the Delaware Court of Chancery over a sixteen-year period, from January 1, 2004, to December 31, 2019. After removing the duplicative cases consolidated into a lead complaint, the number of unique complaints was reduced to 2,958 in our dataset. In our coding, we examined over one hundred variables (with many variables being further subdivided into as many as eight subvariables) for each of these cases, including information about the parties, claims, …

Trade Secrecy's Information Paradox, Christopher Buccafusco, Jonathan S. Masur, Deepa Varadarajan

Faculty Scholarship

Trade secret law is meant to encourage socially beneficial behaviors by permitting firms to protect their investments in the creation of valuable information. In theory, the ability to protect valuable information will make firms more likely to create that information in the first instance. But the law can also be used to shield socially harmful behaviors from public oversight. Firms can assert trade secret protection to prevent journalists, watchdogs, and criminal defendants from learning whether they are engaged in dangerous, wrongful, or biased activity. Ideally, trade secret law should sort socially beneficial uses from socially harmful ones, permitting only the …

The Rise Of Global Fcpa Settlements, Rachel Brewster

Faculty Scholarship

For the last two decades, the United States has been the dominant enforcer of anti-bribery norms worldwide. Using the broad extraterritorial jurisdiction granted by the Foreign Corrupt Practices Act (FCPA), the Department of Justice (DOJ) and the Securities and Exchange Commission (SEC) have prosecuted domestic and foreign corporations for bribing foreign government officials. This transnational enforcement system has been described as a negative comity regime: foreign governments defer to American prosecutions even if the case involves their nationals. This system has created a robust enforcement environment but often faces foreign resistance to the perceived “American dominance” of the regime. This …

Risk Factors And Fraud Loss Magnitude: Informing Anti-Fraud Strategies, Robert Elias

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fraud research posits risk factors may be utilized to identify individuals who are predisposed to perpetrate fraud (ACFE 2024). I find perpetrators who exhibit the following risk factors result in statistically higher fraud losses: living beyond their means, excessive pressure to perform within the organization, having excessive control issues regarding their job, are reluctant to take vacations, have a “wheeler-dealer” attitude, or addiction problems. I further find perpetrators who exhibit risk factors which are likely to be observed in a work setting are more likely to result in higher fraud losses. However, perpetrators who exhibit risk factors which are more …

Understanding The Prevalence Of Γ-Hydroxybutyric Acid In Hair For Clinical And Forensic Applications, Collin J. Kustera

Graduate Theses, Dissertations, and Problem Reports (ETD)

Sexual assault affects over 400,000 Americans annually, including 13% of college students, yet only 2.5% of assailants face incarceration. This disparity stems from significant challenges in evidence collection, particularly in drug-facilitated crimes (DFCs). Victims often delay reporting due to fear, self-blame, or unawareness of the assault which is common in cases involving substances like γ-hydroxybutyric acid (GHB). Current forensic standards rely on blood and urine, which offer detection windows of just 48 and 120 hours, respectively. These short timeframes frequently fail to capture critical toxicological evidence, leaving investigators with only victim testimony, which the judicial system struggles to act upon …

Deep Learning Approaches For Eeg-Based Biometrics: A Systematic Review, Ali E. Albaiati, Muhammad Firdaus Akbar, Murtadha D. Hssayeni, Ashraf Khalil, Mohd Nadhir Ab Wahab, Sundus Sulaiman Weli, Enas A. Raheema

All Works

Biometics such as fingerprint, face, and iris are vulnerable to spoof attacks. The unique characteristics of Electroencephalography (EEG) make it a promising biometric modality especially because of its resistance to spoofing attacks. Many deep learning methods have been proposed for EEG-based biometric systems. This systematic review examines these methods in terms of their feature extraction ability and authentication performance. We follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search IEEE Xplore, PubMed, Web of Science, ScienceDirect, and Springer databases. Initially, we identified 285 relevant articles published between 2018 and 2024. After removing duplicates and applying …

Legal Pathways To Professionalizing The Procurement Workforce For Good Governance To State Contracts: A Comparative Study, Karem Sayed Aboelazm, Fady Tawakol, Emad Ibrahim, Hanadi Sharif

All Works

This study addressed several concepts in the study’s conceptual framework, which were based on profession, professionalization, and professionalism in public procurement. It also discussed the importance of professionalizing public procurement functions and its impact on public procurement performance (Angaw, 2020). The study also aimed to analyze the most prominent global practices in raising the efficiency and capabilities of public procurement workers to reach complete professionalism in public procurement. The paper attempted to investigate the possibility of professionalism in public procurement and its effects on the good governance of state contracts. The paper relied on two basic research approaches, namely the …

The Impact Of Perfumes And Cosmetic Products On Human Health: A Narrative Review, Sharifa Alblooshi

All Works

Background: The use of perfumes and cosmetic products is widespread, serving personal hygiene, aesthetic, and olfactory functions. However, concerns have been raised regarding the potential health impacts associated with long-term exposure to various ingredients used in these products. Objectives: This narrative review aims to synthesize evidence on the health risks associated with perfumes and cosmetics, focusing on specific health concerns, including fertility, respiratory health, cancer risk, allergies, skin disorders, endocrine disruption, and neurological effects. It also discusses the presence of heavy metals in cosmetics, regulatory challenges, and the need for transparency in ingredient disclosure. Methods: A comprehensive review of the …

Empowering Women On Screen: Exploring The Influence Of Female Protagonists On Contemporary Culture And Gendered Enjoyment In Film, Fokiya Akhtar, Azmat Rasul

All Works

A prevalent notion in the film industry across the globe suggests that female-led films may underperform, leading producers to avoid casting women as leads. This fear of alienating male audiences perpetuates patriarchal ideologies, objectifies female bodies, reinforces gender stereotypes, and alters perceptions of femininity. Examining this perception, the present study investigated the impact of the gender of the protagonist on the audience preference, challenging the misconception that exists in the film industry globally that films starring females as protagonists are less commercially successful. The study conducted an online experiment of 434 participants who were assigned different movies starring male and …

Improving The Performance Of Multi-Stakeholder Partnerships For Sustainable Development In Coastal Areas : Sweden (Hanö Bay) As A Case Study, Jennie Larsson

World Maritime University Ph.D. Dissertations

Coastal areas are vital for both ecosystems and human societies. Comprising diverse terrestrial, freshwater, and marine ecosystems, coastal areas provide us with essential resources and services. However, these areas are under threat from human activities and climate change, necessitating new governance structures to ensure their sustainable management and conservation. This research investigates how to improve the performance of local multi-stakeholder partnerships (M-SPs) in coastal areas, promoted as key mechanisms for achieving sustainable development goals. By drawing on stakeholder theory and using Pattberg & Widerberg’s (2014) analytical framework with nine building blocks for successful M-SPs as a foundation, the study examined …

Hydrogen-Enriched Lng As A Mid-Term Solution To Mitigate Greenhouse Gas Emissions From Shipping, Kang-Ki Lee

World Maritime University Ph.D. Dissertations

In light of the International Maritime Organization’s (IMO) ambitious Initial GHG Strategy, the rise in international shipping’s carbon dioxide emissions by 2 percent in 2022 compared to 2019 poses a formidable challenge. This increase underscores the pressing need to address the limited availability of green hydrogen, prompting the exploration of mid-term solutions to bridge this critical gap. The IMO’s 2023 Strategy on Reduction of GHG Emissions from Ships attempted to tackle this challenge head-on, recognizing the urgency of reducing the industry’s substantial carbon footprint. While hydrogen offers a simple solution as a zero-carbon fuel, LNG remains the most widespread alternative …

Measuring The Effectiveness Of Internship Programs In Aligning Education With Industry During Covid-19: A Case Study, Fokiya Akhtar, Tarannum Parkar

All Works

This study aimed to analyze the effectiveness of internship programs in aligning education with industry during the COVID-19 pandemic. This research focuses on the internship outcomes of College of Communication and Media Sciences (CCMS) students in various UAE organizations. This study employs Kirkpatrick's framework and analyzes 64 student reports over ten weeks to understand the strengths and areas of improvement in aligning academic instruction with real- world applications. The research focuses on the reaction and learning constructs in the alignment of theoretical teachings with practical experiences based on Kirkpatrick's framework. The study revealed that internships offer students a chance to …

Improving Public Sector Procurement Methods In International Practices: A Comparative Study, Karem Sayed Aboelazm, Fady Tawakol, Emad Ibrahim, Hanadi Sharif

All Works

Objective: This paper presents the methods of public sector procurement in some public procurement laws such as UNITRAL law, Egyptian Law, Indian Law, Kenyan Law, and UAE law. Theoretical Framework: Some of the modern methods used by many countries, the research also sought to develop a clear definition of public sector procurement and relied in this research on the comparative approach as a significant approach to study for comparing the laws of countries. Method: This paper used descriptive-analytical methodology to analysis the legal frameworks of public sector procurement methods in Egypt, UAE, and other laws in comparison, the research reached …

An Explainable Ai And Optimized Multi-Branch Convolutional Neural Network Model For Eye Anemia Diagnosis, Kamel K. Mohammed, Nadia Dahmani, Rania Ahmed, Ashraf Darwish, Aboul Ella Hassanien

All Works

This paper proposes a novel, non-invasive approach to diagnosing eye anemia using deep learning techniques. Traditional methods, reliant on invasive procedures like venipuncture, are costly and can cause patient discomfort. Our model leverages a multi-branch convolutional neural network (CNN) architecture, incorporating the Hippopotamus Optimization (HO) algorithm and multiclass support vector machines (SVMs) for enhanced accuracy. To address data imbalance, we employ the Synthetic Minority Oversampling Technique (SMOTE) and data augmentation. The model is trained and evaluated on a dataset of 211 eye images. The model achieves a remarkable 97.06% accuracy, with a Receiver Operating Characteristic (ROC) curve demonstrating an Area …