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Contents, North Carolina Law Review

North Carolina Law Review

No abstract provided.

The Opioid Crisis As Unjust Enrichment, Maytal Gilboa, Yotam Kaplan, Ohad Somech

North Carolina Law Review

No abstract provided.

Reconciling Jarkesy And Silver Moss: Rethinking Civil Tax Fraud Penalties In The Administrative State, Mary H. Kwon

North Carolina Law Review

No abstract provided.

The Trust Transfer Problem, David Horton, Reid Kress Weisbord, Christopher J. Ryan Jr.

North Carolina Law Review

No abstract provided.

Algorithmic Armor: Rethinking Section 230'S Protection Of Platform Design, Amelia Christian Walker

North Carolina Law Review

No abstract provided.

Occasional Originalism: How The Supreme Court Of North Carolina Discarded Centuries-Old Constitutional Law In State V. Singleton, William J. Etringer

North Carolina Law Review

No abstract provided.

Climate Change Litigation Cases In Context, Camille Cameron, Patricia Galvão Ferreira, Riley Weyman

Books

This book provides a timely and detailed analysis of key climate change cases in domestic courts across the globe, examining the procedural, evidentiary, legal, and strategic dimensions of the complex climate governance landscape. It reveals how, as the threats of climate change grow and as policy fails to respond, individuals and groups have increasingly been turning to national courts to seek relief and clarity through litigation.

Chapters:

1. The climate governance tightrope: novel strategies and the role of courts in climate change
2. Mathur v Ontario: youth-led constitutional challenge to government climate policy lights the path to future recognition of climate …

Childhood, Likelihood, And Probative Value: A Further Call For Greater Probity And Less Childism In Evidence Law, Mae C. Quinn

Faculty Scholarship

No abstract provided.

Teaching Legal Research Students To Be The "Human In The Loop", Julie Tedjeske Crane

Faculty Scholarship

No abstract provided.

Governing The Energy Bottleneck, Hannah Jacobs Wiseman, Matthew Mchale

Faculty Scholarship

The electrical grid is falling short of its mandate to accommodate new generation—much of which happens to be “clean” zero-carbon generation—and to service load (demand). The bottleneck of grid access, which has vexed renewable energy developers, now affects industries seeking massive quantities of electricity to power single facilities— “large loads” such as data centers and other artificial intelligence operations.

Many of these highly capitalized loads seek clean energy generation; they could, in theory, fund an energy renaissance and provide scale-based benefits for all consumers. But loads that obtain service  are negatively impacting other consumers’ rates and, potentially, the reliability of …

State Ramps And Church Stairs: The History Of Disability In The Reformed Church In America, Jett Haveman

Honors Projects

This is a paper detailing the history of the RCA and the disability community. It attempts to make a broader claim about what the Christian Church as a whole could do better and has historically fallen behind at. Since 1978, the evolution of the RCAs relationship with people with disabilities has followed a distinctive pattern, as despite a theological mandate to care for the marginalized, the RCA has rarely pioneered social or legal inclusion. Instead, it has largely mirrored the pace of the United States government, often waiting for secular civil rights milestones to provide the framework and pressure for …

Secondary Dual Language And Immersion Content Teachers And Their Instructional Materials, Curtis Larsen

School of Education and Leadership Student Capstone Theses and Dissertations

Secondary dual language and immersion (DLI) teachers who teach content courses, such as social studies or science, balance two central responsibilities: meeting content-area standards and supporting students’ language development (Cammarata & Tedick, 2012). Managing these responsibilities presents challenges when preparing and using instructional materials in languages other than English (Moate, 2014; Morton, 2013; Skinnari, 2020; Sun, 2017). While existing research shows that DLI teachers expend enormous energy seeking and preparing instructional materials for their content-area classes (Mathieu, 2022), little is known about the factors that guide this work or how well existing materials meet teachers’ needs. This dissertation sought to …

False Conflict: Colorblindness And Section 2 Of The Voting Rights Act, W. Kerrel Murray

Faculty Scholarship

If friends and foes of section 2 of the Voting Rights Act of 1965 agree on one thing, it is the irrepressible conflict between section 2’s attention to race and constitutional colorblindness.  They’re wrong.  Rightly understood, section 2’s design is remarkably compatible with colorblind constitutionalism’s letter and spirit.

To show how, this Article first returns to section 2’s origins and the preexisting approach its text codifies.  That approach had an underappreciated ethos:  When intentional discrimination’s effects sufficiently distort a political system, an electoral rule’s results might impugn its unconstitutionality, even if the rule had been adopted without discriminatory purpose.  Drawing …

Severity And Duration-Dependent Aortic Stiffening In A Rabbit Coarctation Model Identifies Constitutive Material Parameters As Promising Regional Biomarkers For Hypertension Progression, Arash Ghorbannia, Jamasp Azarnoosh, John F. Ladisa Jr.

Biomedical Engineering Faculty Research and Publications

Coarctation of the aorta (CoA) alters hemodynamics and drives regional remodeling, yet the influence of severity and duration on constitutive properties is undefined. We quantified mechanical responses from CoA to identify constitutive parameters capturing stiffening across clinical severities and durations. Mild (≤ 12 mmHg), intermediate (13–20 mmHg), and severe (> 20 mmHg) CoA was created in rabbits for short, long, and prolonged durations (~ 1, 3, or 22 weeks, respectively). Stress–stretch curves from proximal and distal regions were fit with multiple constitutive models (Linear Elastic, Neo-Hookean, Yeoh, Ogden, Mooney–Rivlin, Holzapfel). Model performance was evaluated by normalized RMSE and R², with …

Defining Her2 Associated Proteogenomic Features In Breast Cancer And Extending To Gynecologic Cancers, Maya Anand

Theses

HER2 amplification is a well-established driver of breast cancer and serves as the primary basis for clinical classification and treatment selection. However, this framework assumes that HER2-driven tumor biology is defined solely by ERBB2 amplification or overexpression. The goal of this study was to evaluate whether HER2-associated signaling is represented as a pathway-level activation state and whether this framework could help identify tumors with clinically relevant HER2 activity beyond current routine classification methods. HER2-associated transcriptional programs were identified across three independent breast cancer cohorts, resulting in conserved gene sets (P76 and P25). Amplification-independent HER2 activation was assessed using the HER2 …

Optimizing Urban Commute Quality Through Traffic Congestion Analysis And Predictive Modeling, Obaid Almansoori

Theses

Urban traffic congestion imposes significant economic, environmental, and social costs on rapidly growing cities worldwide. This research investigates how predictive analytics and machine  learning can be leveraged to classify and forecast traffic congestion severity in real time,  enabling data-driven decision-making for transportation planning, signal optimization, and  congestion management. A real-world traffic monitoring dataset comprising 5,952 observations collected over two months via  computer vision sensors at an urban intersection was analysed under the CRISP-DM frame- work. The  dataset records counts of four vehicle classes including cars, bikes, buses, and trucks at  15-minute intervals, alongside temporal variables such as time of day, …

Sampling And Counting Graph Structures With Triangle Motifs, Sherry Robinson

Theses

Understanding the structure of real-world networks often relies on identifying significant (i.e., occurring significantly more frequently than random) subgraph patterns, or motifs, such as triangles. To assess their significance, null models generate random samples from a constrained distribution of graphs, preserving selected properties while randomizing others. These models may either generate random graphs or sample structures from a fixed input graph. This thesis focuses on the latter, specifically the problem of sampling and counting graph structures that incorporate triangle motifs. While efficient algorithms exist for sampling classical structures such as matchings, extending these methods to higher-order motifs remains an important …

Cognitive Digital Twin Operating System Forwayfinding In Vertical Smart Cities, Basil Adel Ismail Basbous

Theses

Vertically complex urban environments impose elevated spatial cognitive load on pedestrians, a  demand that static wayfinding infrastructure is structurally incapable of addressing. Smart cities  currently lack a formal cognitive navigation operating layer for managing pedestrian movement in  multi-level urban systems. This research introduces and evaluates a Cognitive Digital Twin  Operating System (Cognitive OS) — a city-scale adaptive navigation infrastructure integrating  Digital Twin environmental modelling, AI-driven route optimisation, real-time crowd intelligence,  and spatially embedded adaptive guidance to predict, manage, and reduce spatial cognitive load in  vertically complex environments. The study deploys AI-mediated human behavioral persona simulation as an independent methodological  contribution. …

Beyond Anomaly Detection: Classifying Attacker Automation Level From Ssh Honeypot Behavioral Signatures, Ashley Alt

Theses

The proliferation of AI-assisted offensive tools has introduced a new category of cyber attacker that combines the speed of automation with the adaptive reasoning previously associated only with skilled human operators. Despite the richness of behavioral data captured by SSH honeypots, existing analyses treat interaction logs primarily as evidence of malicious activity rather than as a dataset capable of distinguishing between attacker types. This thesis investigates whether human-driven, traditionally automated, and AI-assisted attackers produce distinguishable behavioral signatures within SSH honeypot interactions, and whether machine learning techniques can reliably classify attacker behavior from session-level features. A controlled experimental architecture was developed …

In-Context Retrieval For Molecules And Chemical Synthesis Pathways, Abhisek Dey

Theses

Contrastive learning methods require well-defined positive pairs, limiting their applicability to domains where complete, high-fidelity pairings are available. In practice, large-scale scientific corpora --including patents, publications, and web-scale data -- contain vast quantities of contextually relevant but incompletely paired samples that are discarded under standard training paradigms. In this work, we demonstrate that hard negative mining can be leveraged to construct pseudo-positive supervision signals from unpaired or partially paired data, enabling contrastive learning to exploit the full breadth of available corpora without sacrificing representational quality. Using a large-scale chemical drug patent corpus as a testbed, we train a cross-modal contrastive …

Nlp Crowdsourcing For Predominantly Oral Languages: The Case Of Bambara, Allahsera Auguste Tapo

Theses

Predominantly oral languages (POLs) face a significant "digital divide," as they are often excluded from the benefits of modern natural language processing (NLP) technologies, due to a lack of extensive, readily available machine learning (ML) datasets. We investigate methods to overcome this data scarcity for Bambara, a Manding language, spoken primarily in Mali, with a rich oral tradition but limited digital presence.     The research leverages crowdsourcing and community engagement to build high-quality ML ready dataset resources. Key contributions include methods for automatic speech recognition (ASR) and machine translation (MT) dataset collection and curation and for educational resource creation.      Our findings …

Alternative Color Mode Design: Supporting Mobile App Creators With Evidence-Based Guidelines, Sarah Andrew

Theses

Alternative color modes, such as light, dark, dim, and high contrast modes, in mobile apps can improve accessibility for people with vision impairments and usability for people without vision impairments across situational contexts. However, current mobile apps exhibit inconsistent color implementations for UI elements (e.g., background, text, buttons, images, and non-selectable icons), leaving users with limited accessible options. My dissertation addresses a central question in human-computer interaction and accessibility: How can mobile app designers be supported to implement alternative color modes that meet the accessibility and usability needs of people with and without vision impairments? Through an eight-study mixed-methods investigation, …

The Racial Implications For Black Claimants At The Federal Arbitration Act's Centennial, Michael Z. Green

Faculty Scholarship

On February 12, 1925, when President Calvin Coolidge signed into law an Act to make arbitration agreements "valid, irrevocable, and enforceable," no person could have expected that this new statute would ever apply to claims by Black litigants. A century later, that law, now referred to as the Federal Arbitration Act (FAA), has evolved to encompass disputes involving a broad array of claimants and processes where businesses enforce pre-dispute agreements to arbitrate. In examining whether Black claimants (businesses, consumers, and importantly, workers) may benefit from using arbitration, this Article investigates how the FAA, as enacted, never intended to address their …

Inexcuseable? Building An Artificial Intelligence Microexpert On Contract Excuse Doctrine, Mark Edwin Burge

Faculty Scholarship

This article details and advocates for a general methodology for creating a "microexpert" grounded in a user-defined set of legal sources and widelyaccessible tools for integrating generative artificial intelligence (AI) into legal analysis. The study focuses particularly on background contract excuse doctrines of impossibility, impracticability, and frustration of purpose, which are collectively a methodologically challenging area of law to rationalize due to factintensive variables that undermine their predictability. Particular challenges include assessing the foreseeability of the event that led to the contract's nonperformance, the extent of the hardship or burden on the party seeking excuse, and the purpose of the …

Exploring Adolescents’ Social, Cultural, And Health Experiences To Inform Culturally Responsive Interventions, Bria D. Singleton

Theses and Dissertations

This study examined adolescents’ perceptions of their social, cultural, and health-related experiences, assessing constructs related to identity formation, digital exposure, belonging, and safety among Generation Alpha. Using a mixed-methods design, data were collected from students aged 11 to 14 enrolled at a public middle school in South Carolina using a structured survey and qualitative group discussions. Survey findings indicated primarily positive perceptions of school safety and a sense of self-efficacy in caring for their mental health and well-being. However, qualitative findings disclosed the adolescents’ acute awareness of environmental threats, such as gun violence and school shootings, resulting in emotional dysregulation …

An Insight Into The Venom Gland Proteome Of The Two-Spined Trap-Jaw Ant, Odontomachus Haematodus, Aaron Morgan

Honors Theses

Ants are ecologically important and highly abundant organisms, playing key roles in many ecosystems. One recently introduced species in the southeastern United States is Odontomachus haematodus (the two-spined trap-jaw ant), a South American native that has often been misidentified, contributing to limited research on its biology and venom composition. This study aimed to provide the first detailed characterization of the venom apparatus and proteome of O. haematodus. Specimens were collected and dissected, and venom-related proteins were extracted and analyzed using SDS-PAGE and tandem mass spectrometry (MS/MS-ESI). Confocal microscopy was also used to visualize the sting apparatus, including F-actin filaments and …

A Comparative Legal Analysis Of The English And Scottish Reformations, Erin Hanson

Honors Theses

This thesis examines the legal and institutional mechanism that contributed to the decline in Catholicism in early modern England and Scotland during the Reformation period. By analyzing statutory developments, ecclesiastical court structures, and enforcement practices, it compares how each kingdom implemented religious reform and regulated religious conformity. Rather than focusing solely on theological differences, this study emphasizes the role of legal structure and legal institutions in shaping religious governance.

Chapter I outlines the historical and legal background of the English and Scottish Reformations. Chapter II examines prior literature, and Chapter III states the methodology used in this study. Chapter IV …

Appellate Review Of Child Custody In Mississippi, 1994-2024, Eleanor Detweiler

Honors Theses

This study examines changes in child custody decision-making within the Mississippi appellate court system over a thirty-year period, with a particular focus on the role of legal custody as a separate consideration from physical custody. Using a longitudinal empirical research design, appellate court decisions from 1994, 2004, 2014, and 2024 were analyzed using Nexis Uni. Cases were identified using the search term “child custody” with emphasis on case headnotes indexed under “child custody” as the area of law. Variables including party roles, types of custody sought, reasons for appeal, and case outcomes were recorded and evaluated to identify trends over …

Wright State University's Celebration Of Student Research, Scholarship & Creative Activities From Wednesday, April 1, 2026, Wright State University

Celebration of Undergraduate & Graduate Research, Scholarship, and Creative Activities Materials

The student abstract booklet is a compilation of abstracts from students' oral and poster presentations at Wright State University's Celebration of Student Research, Scholarship & Creative Activities on April 1, 2026.

William J. Magnuson, William Magnuson

Faculty CVs

No abstract provided.