Digital Commons Network^™

Dynamic Interactions Between Natural Gas Return, Financial Market Return, And Energy Stock Return: A Var Analysis Of Conoco Phillips., Caglar Yildiz

Business ETD Collections

This study investigates the dynamic interrelationships among ConocoPhillips (COP) stock returns, natural gas prices, the S&P500 index, and changes in the U.S. 10-Year Treasury bond yield using a Vector Autoregressive (VAR) model over the period January 2020 to July 2025. Weekly data are used to estimate a VAR(4) model, allowing for lagged and contemporaneous interactions across financial and commodity markets. The variables are treated as endogenous, with the model validated through stationarity testing, Johansen cointegration analysis, and diagnostic checks.

Cholesky decomposition is employed for structural identification, with the 10-Year Treasury yield ordered as the most exogenous variable. Wild bootstrap techniques …

“Move Fast And Break Things”: Innovation, Stability, And Trust In The Growth Of Revolut., Belen Blanco Mendoza

Business ETD Collections

In this research project, I chose to examine the strategies used in the growth of the fintech Revolut, namely the ’move-fast-and-break-things’ strategy that was employed at the beginning of the company. With this in mind, I decided on two Research Questions, “With the benefit of hindsight, and a focus on problems caused by low security and poor customer support, is Revolut’s ‘move fast and break things’ philosophy a good strategy for the business?” and “Will Revolut’s new fraud prevention strategies, and advances in AI help recover the lost goodwill caused by their earlier ineffective strategies?”, which guided me …

Algorithms And Intimacy: Millennials' Social Meanings From Their Experience Using Tinder., Yuka Gega

Business ETD Collections

In recent years, the way people form relationships has undergone a profound transformation, shifting from traditional, community-based interactions to global, technology-mediated connections. Dating apps have played a central role in this shift, using algorithms and limited user data, such as photos and profiles, to match individuals. While these platforms offer convenience and expanded opportunities to meet others, they may also prioritise selection and appearance over the development of meaningful connections. The widespread adoption of smartphones has accelerated the global reach of these services, making them highly accessible and widely used, particularly among millennials. However, algorithm-driven matching introduces new challenges, including …

Fares On Fairness: Using A Total Error Framework To Examine The Role Of Measurement And Representation In Training Data On Model Fairness And Bias, Patrick Oliver Schenk, Christoph Kern, Trent D. Buskirk

Data Science Faculty Publications

Data-driven decisions, often based on predictions from machine learning (ML) models are becoming ubiquitous. For these decisions to be just, the underlying ML models must be fair, i.e., work equally well for all parts of the population such as groups defined by gender or age. What are the logical next steps if, however, a trained model is accurate but not fair? How can we guide the whole data pipeline such that we avoid training unfair models based on inadequate data, recognizing possible sources of unfairness early on? How can the concepts of data-based sources of unfairness that exist in the …

Protect My Property, Not My Privacy!: How A Recent Circuit Split Illustrates The Need To Reinstate The Traditional Property-Based Fourth Amendment Framework, Mary Katherine Smith

SMU Law Review

The Fourth and Fifth Circuit’s split calls for reexamination of the Fourth Amendment search framework—a framework that revolves around one’s reasonable expectation of privacy. The underlying question motivating this Comment is how to account for individual privacy in a world where, arguably, old notions of privacy no longer exist. And ironically the answer lies in shifting the focus from privacy to property. The circuit split over geofence searches is a symptom of a larger problem: The current Fourth Amendment search framework is unworkable in the digital age.

Thus, this Comment has dual objectives. The first objective is analyzing the geofence …

Ai Artists On The Stand: Bias Against Artificial Intelligence-Generated Works In Copyright Law, W. Michael Schuster, Joseph J. Avery

Scholarly Works

Generative artificial intelligence (AI) is revolutionizing the creation of art, literature, and music, challenging the boundaries of intellectual property law. To date, scholars have primarily focused on AI's authorship/entity status and the regulation of its use, overshadowing a critical issue: how AI's involvement in creative processes influences legal judgments in copyright disputes. Our empirical research reveals systemic bias against AI-generated works in such legal matters. In our studies, participants read about a company that had hired either a human designer (condition one) or a generative AI art system (condition two) to produce works of art, and those works of art …

Cliff Running, William Ortman, Dov Fox

Scholarly Works

Professionals must at times make snap judgments that have profound consequences. Does a doctor perform an otherwise forbidden abortion to preserve a patient’s failing health? Does a police officer fire at a suspect pointing an unidentified metal object? The criminal law tells these professionals: Don’t intervene unless the danger is serious and the risk is imminent. But it offers little to guide that determination beyond: Be reasonable. Yet the “right” choice—the one that’s legally safe—often resembles the “wrong” one: a felony punishable by decades in prison. These ambiguous regimes operate as liability cliffs that professionals are forced to traverse at …

Tax Sheltering Death Care, Victoria J. Haneman

Scholarly Works

Death is not free. Funeral, burial, or cremation costs are the third largest category of expense over the lifetime of the average American, while poverty paradoxically remains the fourth leading cause of death. Many are unable to shoulder the often-exorbitant cost of death care without being forced to beg, borrow, or simply abandon human remains. Sufficient resources exist to ensure that everyone is laid to rest with dignity in the United States, but those resources are not evenly distributed. This is a conversation about affordable and humane disposition of remains as a right versus a privilege. It is a discussion …

Being There: Perils Of Disembodied Mediation, Robert Mcniff

Scholarly Works

The article examines the rise of online mediation, particularly accelerated by the COVID-19 pandemic, and critiques its limitations compared to in-person mediation. Drawing on 20th-century philosophical, psychological, and sociological thought, the analysis argues that online mediation diminishes the embodied, emotional, and intersubjective dimensions of human interaction, which are critical for empathy, moral agency, and meaningful dispute resolution. While online mediation offers convenience, it risks dehumanizing the process by reducing participants to disembodied images, thereby undermining the unique strengths of mediation as a holistic and empathetic alternative to legal adjudication.

Law School Veterans Clinics: Helping Veterans, Training Students, Improving The System, Alexander W. Scherr

Scholarly Works

This essay makes the case for law schools to create clinics and externship courses that address the needs of veterans. Veterans legal work offers excellent opportunities to represent individual veterans to obtain the benefits they earned through service to our country. At the same time, veterans clinic work can enlist students in systemic advocacy that changes how institutions address veterans' needs through appellate, administrative, and class action advocacy. Law students who work in veterans clinics develop skills they can readily transfer to other practice areas while working closely with clients and developing their professional identities. Finally, veterans clinics help law …

Transunion, Vermont Agency, And Statutory Damages Under Article Iii, Randy Beck

Scholarly Works

The Supreme Court concluded in TransUnion LLC v. Ramirez that a plaintiff may not sue to collect statutory damages under a statute like the Fair Credit Reporting Act (FCRA) simply because the defendant violated a right Congress conferred on the plaintiff. Instead, Article III requires the plaintiff to show that the statutory violation resulted in a “concrete” injury with “a ‘close relationship’ to a harm ‘traditionally’ recognized as providing a basis for a lawsuit in American courts.” The TransUnion Court made no effort to explain how its conclusion could be reconciled with Vermont Agency of Natural Resources v. United States …

Perfecting Our Submission? Mann And Trump, Ruffin And Roberts, Joseph S. Miller

Scholarly Works

Presidential power is vast, both under law and in practice. Who holds presidents accountable, and by what means? Courts wrestle with these intertwined questions of power and accountability. The majority opinion in the 2024 presidential immunity case, Trump v. United States, is eerily resonant, rhetorically, with a notorious judgment enhancing one person’s power over others by shielding that power utterly from criminal-law accountability. That judgment, from 1829, is Judge Thomas Ruffin’s infamous slavery-law opinion for the North Carolina Supreme Court in State v. Mann. I juxtapose the two opinions, which share jarringly similar claims about the nature of power, rule, …

Green Dividends: A Case Study In Green Dividends And The Conditions For Private Ordering Solutions, Anne M. Tucker

Scholarly Works

This Essay introduces a novel private ordering solution to facilitate corporate investments in pro-social and environmental initiatives: Green dividends. Green dividends are an optional increase in shareholder dividends that are returned to the company to be reinvested in environmental initiatives or kept by a shareholder. Green dividends pose an alternative to the current gridlocked debate that corporations can’t, won’t, shouldn’t, and shouldn’t even try to act in pro-social or environmental ways. Turning the common refrains on their head converts each narrative into an element for a successful private ordering solution: authority, accountability, shareholder buy-in, and government-backed enforcement. With Green dividends, …

Pathways To Lgbtq+ Self-Acceptance: A Qualitative Study Of Religious, Spiritual, And Mystical Experiences, Makayla Hall, Ruth Walker

Modern Psychological Studies

For the LGBTQ+ community, self-acceptance often involves embracing one’s identity while confronting internalized stigma, hardships, and religious or societal pressures (Lassiter et al., 2019; Schuck & Liddle, 2001; Stern & Wright, 2017). Prior researchers have highlighted both positive and negative effects of religious and spiritual beliefs for LGBTQ+ individuals, with spirituality often fostering resilience and social support (Lassiter et al., 2019) and religious institutions sometimes contributing to feelings of alienation (Schuck & Liddle, 2001). The purpose of this study was to explore how religious, spiritual, and mystical experiences influence self-acceptance in LGBTQ+ adults. We used reflexive thematic analysis to explore …

Heterogeneous Clustering Of Multiomics Data For Breast Cancer Subgroup Classification And Detection, Joseph Pateras, Musaddiq Lodi, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

The rapid growth of diverse -omics datasets has made multiomics data integration crucial in cancer research. This study adapts the expectation–maximization routine for the joint latent variable modeling of multiomics patient profiles. By combining this approach with traditional biological feature selection methods, this study optimizes latent distribution, enabling efficient patient clustering from well-studied cancer types with reduced computational expense. The proposed optimization subroutines enhance survival analysis and improve runtime performance. This article presents a framework for distinguishing cancer subtypes and identifying potential biomarkers for breast cancer. Key insights into individual subtype expression and function were obtained through differentially expressed gene …

Deepssetracer 2.0: Improved Deep Learning Model Performance For Protein Secondary Structure Segmentation From Cryo-Em Maps, Bryan Hawickhorst, Thu Nguyen, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

DeepSSETracer is a method for segmenting protein secondary structure from medium-resolution (5-10Å) cryogenic electron microscopy (cryo-EM) density maps. We conducted experiments and ablation studies to examine the effects of normalization methods, max-pooling, activation functions, and loss calculation region on DeepSSETracer. By combining multiple technical improvements, the performance of the new version, DeepSSETracer 2.0, was significantly enhanced compared to DeepSSETracer 1.1. On a set of 77 test cases, the weighted average per-voxel F1 score increased from 62.1% to 70.3% for helix detection, and from 47.8% to 62.5% for β-sheet detection. While each of the five modifications in the network enhanced the …

Benchmarking And Improving Foundation Model Dietary Estimates From Meal Images, Yongcheng Mu, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Accurate quantifying dietary contents, such as calories, proteins, carbohydrates, and fats, from an image of a meal plate is vital for managing diabetes. Recently, Large Multimodal Models (LMMs) have excelled in complex vision-language tasks due to their use of very large, highly diverse data. This study benchmarked the use of seven LMMs that include full and lightweight models of GPT, Gemini, and Llama for nutrition estimation based on Google's Nutrition5k dataset and our own phone-collected DonateAndLearn dataset. We analyzed the performance of LMMs and the RGB-D fusion model, in which the RGB-D model was specifically trained using Nutrition5k data. On …

Understanding Pii Leakage In Large Language Models: A Systematic Survey, Shuai Cheng, Zhao Li, Shu Meng, Mengxia Ren, Haitao Xu, Shuai Hao, Chuan Yue, Fang Zhang

Computer Science Faculty Publications

Large Language Models (LLMs) have demonstrated exceptional success across a variety of tasks, particularly in natural language processing, leading to their growing integration into numerous facets of daily life. However, this widespread deployment has raised substantial privacy concerns, especially regarding personally identifiable information (PII), which can be directly associated with specific individuals. The leakage of such information presents significant real-world privacy threats. In this paper, we conduct a systematic investigation into existing research on PII leakage in LLMs, encompassing commonly utilized PII datasets, evaluation metrics, and current studies on both PII leakage attacks and defensive strategies. Finally, we identify unresolved …

Stamper, Thomas Jefferson - Volume 2, Carter County Genealogical Society, Betty Stamper Wellman

Carter County Genealogy Collection

Genealogy of Thomas Jefferson Stamper Sr. family in Carter County, Kentucky.

Thomas is the eighth child of John R. 'Pewter John' and Sarah 'Sallie' Stamper

Exploring Relationships Among Higher Education Accreditation Outcomes, Credit Ratings, And Subsequent Institutional Responses: A Quantitative Study, Joshua Allen Hertlein

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation examines the financial pressures facing colleges and universities, focusing on the impact of accreditation outcomes and bond credit ratings. Utilizing a quantitative approach, the study posits that adverse accreditation outcomes and credit rating downgrades can be anticipated by observable, measurable attributes at higher education institutions. Additionally, it explores institutional responses following these adverse events.

Data was collected from IPEDS, FSA, DAPIP, BLS, and Moody’s Investors Service, covering the period from 2012 to 2022. Logistic regression models estimated the odds of negative accreditation outcomes and credit rating downgrades based on predictor variables such as enrollment levels, expenses, revenue, financial …

Closing Racial And Ethnic Disparity Gaps In Pediatric Asthma Follow Up Care - A Quality Improvement Initiative, Ayodele Ayeko

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

Closing racial and ethnic disparity gaps in pediatric asthma follow up care - A quality improvement initiative

Ayodele Ayeko

Introduction/Background: Inadequate management of asthma significantly contributes to poor asthma control, poor quality of life (QOL), and high hospitalization rates among pediatric patients. The Global Initiative for Asthma (GINA) guidelines offer recommendations designed to enhance asthma control and improve the quality of life for those affected (2015), including recommendations for close follow up care. At WVU Medicine Children’s Hospital (WVUMCH), insufficient asthma control has been associated with lower clinic follow-up rates and an increase in hospitalization. Although educational initiatives …

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 …

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. …

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. …

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 …

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.

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.

Recent Changes In Discretionary Denials Of Drug Patent Challenges, S. Sean Tu, Arti K. Rai, Aaron S. Kesselheim

Faculty Scholarship

Recent policy shifts at the U.S. Patent and Trademark Office (USPTO) have sharply limited the use of two administrative pathways for patent reviews, inter partes review (IPR) and post-grant review (PGR). Congress created these administrative pathways to provide a faster and less costly way to challenge weak patents. Recently, the USPTO has expanded the use of “discretionary denials,” invoking a new “settled expectations” rationale that blocks IPR petitions for patents more than about six years old. From May to September 2025, 60% of 506 requests for discretionary denial were granted, triple historical levels, including one-third involving drug patents. These changes …

The Reliability Response To Patent Law’S Ai Challenges, Arti K. Rai

Faculty Scholarship

Pervasive AI use adds newfound importance to longstanding debates over patent timing and reliability. Patent claims on speculative ideas generated by AI, or even the infusion of speculative AI-generated ideas into the public domain, may defeat patent incentives for more careful research. Although challenges that AI use poses for patent validity requirements like human inventorship and nonobviousness have received more attention, reliability is equally important.

Indeed, as this Article argues, the issues are linked. If requirements for inventorship and nonobviousness were adjusted to emphasize reliability, a human role could be preserved, and AI use would not necessarily threaten patents. Currently, …

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, …