Digital Commons Network^™

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 …

Countries As Laboratories: Reflections On Sierra Leone’S Amended Anti-Human Trafficking Law, Andrea L. Dennis

Scholarly Works

Sierra Leone’s improved anti-trafficking laws align with global norms, but enforcement remains weak due to socio-economic realities and Western deterrence mismatches, limiting effective prosecution despite recent legislative reforms.

Harnessing The Power Of Community Through Pop-Up Legal Clinics, Elizabeth Grant, Christine M. Scartz

Scholarly Works

The article discusses the effectiveness of pop-up legal clinics in addressing the justice gap by providing free legal advice to those in need. These clinics, operating under Georgia's Rule of Professional Conduct 6.5, offer limited scope consultations, enabling attorneys to fulfill their pro bono obligations while helping individuals navigate legal issues. The initiative underscores the power of community collaboration and highlights the positive impact on both clients and volunteer attorneys.

Values-Ambiguous Clinics, Willow Tracy

Scholarly Works

As law school clinical programs have grown in recent decades, many of the newer offerings focus on business law, entrepreneurship, intellectualproperty, and technology. It is commonly presumed that social justice values, such as the amelioration ofpoverty or theprotection offundamental rights, are notfoundational goals of these non-traditional clinics. This Article calls these clinics "values-ambiguous" to highlight the frequent uncertainty and skepticism about their relationship to traditional clinical social justice values. Importantly, "values-ambiguous"does not describe a quality of the clinic itself it describes a quality ofperception of the clinic. In other words, "values-ambiguous clinics" are clinics that are typically not perceived as …

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, …

International Arbitration And Conflicts Of Law: Three Hard Questions For Symeon, Peter B. Rutledge

Scholarly Works

The presence of a foreign element in a legal relationship inevitably introduces intricate choice-of-law issues. This postulate holds especially true in the context of international arbitration. Arbitration involves an exceptional degree of procedural freedom (including over the choice of the applicable law) and a distinctive conflict-of-laws regime that may be unbound from a particular national legal system. This article examines several choice-of-law issues arising in the context of international arbitration. In particular, Section I of this article addresses whether the United Nations Convention on Recognition and Enforcement of Foreign Arbitral Awards, otherwise known as the New York Convention, is selfexecuting …

Copyright Doctrine Before The Tribunal Of Science: A Response To Professor Silbey, Mateusz Blaszczyk

Scholarly Works

In an important new Article, titled A Matter of Facts: The Evolution of the Copyright Fact-Exclusion and Its Implications for Disinformation and Democracy, Professor Jessica Silbey argues provocatively that we “‘only” know that facts are excluded from copyright protection because Feist Publications v. Rural Telephone Service “says so.” She argues that both the nature and importance of facts has been underdefined and is in flux, nonetheless tracing it to the foundational cases of United States (U.S.) copyright law, and argues for a stronger exclusion of facts, which are publici juris, and belong in the public domain. This central …

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, …

Exhibition: Maze Of Mind 智光之境, Yi Bing (Bing-Yi Huang) 黄冰逸

Zhou Documents

This document is a Chinese version outline for the artist’s exhibition Maze of Mind (智光之境). The exhibition was held in TaiChung from September 6, 2025 to September 28, 2025. The text traces the artist's twelve-year creative journey centered on consciousness, mind and the cosmos. It also include brief institutional introductions for the artist and her collaborating partners, Maze of Mind 智光之境 (無竟美術) and INK studio (墨斋). Additionally, this document includes images of individual artwork, along with links to website descriptions of the specific works. (Angela Tan, 28')

Phonotactic Behavior Of Male Cricket Acheta Domesticus In Relation To Age And Syllable Period, Dana Husana, Jessica Rim, David Mbungu, Benjamin Navia

Faculty Publications

No abstract provided.

Relational Mentoring In Troubled Times, Fatima Suarez, Veronica Montes, Emir Estrada, Pierrette Hondagneu-Sotelo

Sociology Faculty Research and Scholarship

No abstract provided.

Is The Light Triad Really That Light?: The Light Triad's Role In Relationship Savior Complex, Skylar Robinson, Gary Lewandowski

Modern Psychological Studies

Light triad traits, such as optimism, empathy, and compassion, are theorized to be three main components of a prosocial and compassionate orientation. However, in romantic relationships, those qualities may encourage a “savior complex” in which one partner attempts to help, fix, or change their partner’s less ideal components. To study this, 106 participants ranging in age from 18 to 24 years old were surveyed about their light triad traits, helping/savior complex behavior, confidence as a romantic partner (i.e., self-efficacy), closeness with their partner (i.e., inclusion of other in the self), and perceived responsiveness toward their partner. As hypothesized, those who …

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 …

Kelley’S Paradox And Strength Skewness In Research On Unconscious Mental Processes, Daryl Lee, Christopher Berry, David R. Shanks

School of Psychology

A widely adopted approach in research on unconscious perception and cognition involves contrasting behavioral or neural responses to stimuli that have been presented to participants (e.g., old items in a memory test) against those that have not (e.g., new items), and which participants do not discriminate in their conscious reports. We demonstrate that such contrasts do not license inferences about unconscious processing, for two reasons. One is Kelley’s Paradox, a statistical phenomenon caused by regression to the mean. In the inevitable presence of measurement error, true awareness of the contrasted stimuli is not equal. The second is a consequence, within …

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 …

Prompt-Based Learning For Few-Shot Class-Incremental Learning, Jicheng Yuan, Hang Chen, Songsong Tian, Wenfa Li, Lusi Li, Enhao Ning, Yugui Zhang

Computer Science Faculty Publications

Few-Shot Class-Incremental Learning (FSCIL) aims to enable deep neural networks to incrementally learn new tasks from a limited number of labeled samples, while retaining knowledge of previously learned tasks, mimicking the way humans learn. In this paper, we introduce a novel approach called Prompt Learning for FSCIL (PL-FSCIL), which leverages the power of prompts alongside a pre-trained Vision Transformer (ViT) model to effectively tackle the challenges of FSCIL. Our approach explores the feasibility of directly applying visual prompts in FSCIL, using a simplified model architecture. PL-FSCIL integrates two key prompts: the Domain Prompt and the FSCIL Prompt. Both are tensors …

An Analytical Review Of Preprocessing Techniques In Bengali Natural Language Processing, Sovon Chakraborty, Protiva Das, Shakib Mahmud Dipto, Md Aktaruzzaman Pramanik, Jannatun Noor

Computer Science Faculty Publications

Research in Bengali Natural Language Processing (BNLP) is rapidly expanding. Despite being one of the most widely spoken languages in the world, BNLP research remains insufficient, particularly in Bengali speech recognition. The languages rich morphology, agglutinative structure, and diverse dialects make text and speech processing especially challenging. However, these challenges can be addressed with effective preprocessing techniques. Various organizations in Bangladesh and West Bengal are integrating Natural Language Processing (NLP) into their services, but without a thorough understanding of preprocessing, these implementations remain incomplete. Applying proper preprocessing techniques to the Bengali language will serve as a foundation for developing robust …

A Real-Time Approach To Capture Ambient And Focal Attention In Visual Search, Gavindya Jayawardena, Yasith Jayawardana, Yasasi Abeysinghe, Bhanuka Mahanama, Sampath Jayarathna, Jacek Gwizdka

Computer Science Faculty Publications

During visual search, individuals’ attention shifts between ambient and focal states in response to task demands and stimuli. The ambient/focal coefficient K is a statistically validated measure of these states, computed offline from fixation duration and saccade amplitude data. While current methods compute K offline, real-time computation could enable applications such as monitoring user attention, creating attention-adaptive user interfaces, and optimizing graphics rendering. However, real-time computation of K requires stable estimates for the parameters of fixation duration and saccade amplitude distributions. Since these distributions are heavy-tailed, the real-time estimates exhibit high variance and slow convergence. To overcome this, we propose …

A Bibliographic And Topic Modeling Analysis Of The P-Adic Theory Literature Using Latent Dirichlet Allocation, Humberto Llinás, Ismael Gutiérrez, Anselmo Torresblanca, Javier De La Hoz, Brian Llinás

Computer Science Faculty Publications

P-adic analysis, introduced by Kurt Hensel in the early 20th century, has developed into a fundamental area of mathematical research with broad applications in number theory, algebraic geometry, and mathematical physics. This study aims to examine the thematic evolution and scholarly impact of p-adic research through a comprehensive topic modeling and bibliometric analysis. Using classical bibliometric techniques (e.g., performance analysis, co-authorship, and co-citation networks) combined with Latent Dirichlet Allocation (LDA), we analyzed 7388 peer-reviewed documents published between 1965 and 2024. The computational workflow was conducted using R (version 4.4.1) and VOSviewer (version 1.6.20), which enabled the identification of 20 distinct …

Can Llms Beat Humans On Discerning Human-Written And Llm-Generated Science News, Dominik Soós, Meng Jiang, Jian Wu

Computer Science Faculty Publications

Science news is increasingly important in connecting scientists and the public by sharing discoveries and innovations. With the rise of large language models (LLMs), there is potential to automate science news creation, but concerns exist about the quality of LLM-generated news versus human-written news. This paper explores whether LLMs can outperform humans in distinguishing between human-written and LLM-generated news. Inspired by the Chain-of-Thought prompting method, we designed a simple yet effective variant called Guided Few-shot (GFS), which encodes the characteristics of news of two types with examples. Our experiments indicated that GFS with just a single example effectively boosted the …

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 …