Digital Commons Network^™

The Future Of Sea Lines Of Communication (Sloc) Defense In The Bering Strait Region: Lessons From The Giuk Gap And North Atlantic Sloc Defense, Samuel A. Krakower

Student Projects for Graduate Degrees

Sea Lines of Communication (SLOCs) are the backbone of global trade and military power projection, with critical maritime chokepoints concentrating tra􀆯ic and shaping both economic stability and strategic control. As changing weather patterns accelerate Arctic accessibility, emerging routes like the Northern Sea Route and Northwest Passage are increasing the importance of the Bering Strait as a vital gateway between the Pacific and Arctic, while also exposing gaps in U.S. infrastructure, governance, and defense posture amid rising Russian and Chinese activity. Although international frameworks provide some legal stability, the absence of an integrated strategy linking maritime governance, allied defense, and chokepoint …

A Systematic Review Of Intrusion Detection Systems For Internet Of Medical Things: Performance, Efficiency, Explainability, And Generalization, Oswald Adohinzin, Youssef Harrath

Research & Publications

The Internet of Medical Things (IoMT) has transformed health care delivery through medical devices, remote patient monitoring, and real-time clinical decision support. However, the proliferation of IoMT devices introduces security vulnerabilities that put patient safety and data privacy at risk. Intrusion Detection Systems (IDS) have emerged as essential components for protecting IoMT networks from cyberattacks. This article presents a systematic review of IoMT-IDS research, analyzing 53 high-quality papers published between 2020 and 2025, identified through database searches spanning 2016–2025 across IEEE Xplore, Springer, ScienceDirect, and ACM Digital Library. We organize the literature through a comprehensive taxonomy spanning classical machine learning …

Incentives, Evidence, And Reminders For Bureaucrats: Overcoming Barriers To Policy Scale Up, Patrick Agte, Daniel R. Morales, Christopher Neilson, Sebastian Otero, Guatam Rao

Discussion Papers

Scaling up effective policies often requires the attention of frontline bureaucrats with many competing responsibilities. Even when policymakers adopt effective programs, implementation may not follow. In a nationwide experiment in the Dominican Republic, we test interventions to increase school principals' implementation of an educational program proven effective in a previous RCT. Only 37% of control schools verifiably implemented the intervention when ordered to by the Ministry of Education, compared with 83% in the original trial. Implementation was no higher among schools that previously implemented the program in the RCT, suggesting that fixed costs of adoption do not explain non-adoption. We …

Addressing The Stale Line Of Sports-Betting Behavior: Examining The Economic Shortfalls And Tax Solutions In Legalizing Sports Betting, Peyton Rameas

Vanderbilt Journal of Entertainment & Technology Law

Sports betting is a form of gambling that does not suffer from the same negative social stigma as casino gambling despite its equally addictive properties and damaging impact on household consumption. While sports betting was previously banned in most of the United States, following the Murphy v. National Collegiate Athletic Association decision, which empowered states to regulate sports betting within their borders, a wave of states that previously banned all forms of sports betting legalized the practice. Unsurprisingly, this rapid legalization of sports betting was accompanied by a flurry of statewide regulations, leading to disparate consumer protection across the states. …

The Five Cs Of Positive Youth Development In Singapore: Building Adolescent Resilience, Teresa Theodora Jing Yi Tan, Li Neng Lee

Journal of Youth Development

The Five Cs of Positive Youth Development (PYD) model is one of the most empirically discussed frameworks on youth thriving. Generalisability of the model was investigated among 210 middle (15-18 years old) and 250 late (19-25 years old) adolescents in Singapore. The Five Cs of PYD was evaluated as a mediator between intentional self-regulation, social-emotional competencies and family functioning, and the outcome of adolescent resilience. Results validate the model among youths in Singapore and show that the Five Cs of PYD positively predict adolescent resilience. The study extends the global application of the model while highlighting the need to consider …

Strategic Sustainability In Fast-Fashion: Consumer Responses To Green Collections, Caroline Le Bon

Journal of Applied Marketing Theory

The fashion industry has long been criticized for its detrimental environmental impact. As awareness grows, consumers acknowledge that their demand for variety at low prices has fueled the industry’s unethical practices, making sustainability a key concern for them and for companies. Although fast-fashion brands introduce sustainable collections, they continue to face criticism for prevalent greenwashing practices. Our research explores how integrating such collections into fast-fashion assortments influences consumer perception and purchase intention, depending on their involvement in both fashion and sustainability. Through our quantitative study, we find that implementing strategic sustainability through green collections alone is insufficient to convince environmentally …

Turning The Tide: Reforming Western Water Law In The Age Of Ai Infrastructure, Rhyma Asim

Vanderbilt Journal of Entertainment & Technology Law

The rise of generative artificial intelligence (AI) has fueled a global race to construct increasingly powerful supercomputers and data centers. Yet, the legal infrastructure meant to regulate these water-intensive projects remains dangerously underdeveloped. Current water law principles in prior appropriation states only further exacerbate this concern. This Note suggests that reform of water law principles can provide a framework for regulating AI data centers’ water consumption in order to protect societal interests during the global AI race. While data centers present beneficial technological advancements, their lack of transparency regarding water consumption presents concerns for local communities suffering from the numerous …

50,000 Spectra And Counting: Preparing For A Roman Spectral Atlas, Maya Jordan Seagraves

Master's Theses

Slitless spectroscopy with the Hubble Space Telescope's Wide Field Camera 3 \linebreak (WFC3/IR) enables simultaneous spectral coverage of all sources in a field, but large-scale single-orientation datasets remain challenging to process. We developed a pipeline that automates HSTaXe spectral extraction across hundreds of Hubble Space Telescope observations, enabling efficient processing of 84 fields and producing over 50,000 spectra from three filters (F110W, F125W, and F160W) and two grisms (G102 and G141). This was achieved by creating a companion Python package, the Module for Infrared Label Analysis (MILA), that integrates data calibration, extraction, and visualization. To assess the scientific utility of …

From Seizure To Settlement: Liberated Africans, Imperial Law, And Labor In The Indian Ocean World, 1810–1860, Holly S. Mcfate

Master's Theses

This thesis examines the relationship between British antislavery, imperial law, and labor management in the western Indian Ocean during the first half of the nineteenth century. Centered on the 1821 capture and condemnation of the slave schooner Industry by HMS Menai, the study employs a microhistorical methodology to reconstruct the legal and administrative processes that governed the lives of Africans seized from slave ships after their liberation. Drawing upon Vice-Admiralty Court records, Colonial Office correspondence, naval logbooks, and administrative registers from The National Archives (UK) and the Mauritius Archives, the thesis follows the transition of captive Africans from maritime interception …

Patent Law's Trade Remedy, Michael L. Doane

Vanderbilt Journal of Entertainment & Technology Law

Although a trade remedy, not an intellectual property rights statute, Section 337 of the Tariff Act of 1930 plays an important and controversial role in the enforcement of intellectual property rights in the United States. As a trade remedy, Section 337 is designed and intended to promote innovation and investment in the United States through support of statutorily defined domestic industries against unfair competition from infringing imported products. This Article analyzes Section 337 as a trade remedy from the perspective of intellectual property rights owners and innovators such as start-up companies, universities, individual inventors, and other research and development-focused entities. …

Accessibility In The Edtech Era: The Growth In Implementation Oflearning Technologies And Thestudents Who Are Left Behind, Madeleine Braksick

Vanderbilt Journal of Entertainment & Technology Law

Educational Technology (EdTech) has gained popularity in recent years, enabling distance learning and connectedness across school districts, and among students, teachers, and families alike. However, vague or nonexistent standards for regulating these technologies have led to students with rights to special education services not having those services upheld to the same standard as traditional educational mechanisms. While the Individuals with Disabilities Education Act (IDEA) has been modified over time to form heightened standards for making education appropriate for all students, it has consistently fallen short in its regulation of both assistive and educational technologies. This Note explores the consequences of …

Impact Of Race And Acculturation On Lung Cancer Screening Eligibility: A Multicenter Lung Cancer Cohort Study, Eunji Choi, Christine S. Shusted, Harrison Yang, Haley M. Evans, Julia G. Katcher, Yiwey Shieh, Anil Vachani, Katharine Rendle, Julie A. Barta

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

No abstract provided.

(Wp 2026-03) Fomc Forecasts, Constant-Gain Learning, And Optimism/Pessimism, Stephen J. Cole

Economics Working Papers

This paper uses an adaptive learning framework to study FOMC forecasts from the Summary of Economic Projections (SEP) dataset. FOMC expectations are modeled as the sum of two components: (1) an endogenous learning part and (2) a sentiment part capturing waves of optimism and/or pessimism. The results include key policy takeaways. FOMC forecasts are responsive to incoming macroeconomic information, consistent with adaptive learning, while sentiment is persistent, correlated across GDP growth and inflation forecasts, and becomes quantitatively more important during and around recessions. FOMC participants also rely more on their endogenous/learning model to form expectations, but sentiment plays a larger …

Technology Before, During, And After Incarceration: Current Product Landscape, Sociotechnical Concerns, And Legal Considerations In The U.S. Context, Yael Eiger, Taylor Hansen, Teanna Barrett, Jevan Hutson, Bryce Clayton Newell, Franziska Roesner

Articles

Emerging technology, including AI, is proliferating throughout the U.S. carceral system. These technologies are marketed to prisons and police departments and then procured using taxpayer money. Previous investigative reporting has exposed troubling kickback schemes, unconstitutional data collection practices, and biased algorithmic outcomes in a handful of prominent technologies (e.g., Flock, Palantir, Clearview AI, COMPAS). In this work, we consider the broader ecosystem of carceral technologies: we catalog 122 products from 53 companies selling technology to carceral institutions. In a collaboration among computer science, law, and surveillance studies scholars, we surface sociotechnical, ethical, and legal concerns related to the use and …

Table Of Contents

Washington Law Review

No abstract provided.

Presidential Noncompliance And Judicial Response: A Two-Branch Dialectic, Seth Waxman

Washington Law Review

No abstract provided.

The Mayfly Newsletter, Donna Giberson

The Mayfly Newsletter

The Mayfly Newsletter is the official newsletter of the Permanent Committee of the International Conferences on Ephemeroptera.

Social Media Is A Juggernaut: Lagged Correlation Analysis Using Ngram Data On “Internet” And “Social Media” With Amplification By The Advent Of The “Iphone”, William Zywiak, Gao Niu, Nicolas Petrell, Victoria Nichele, Kirsten Hokeness

Mathematics and Economics Faculty Journal Articles

The amount of new information transmitted per day can be overwhelming. The data available through Ngram Viewer allows statistical examination to determine the most salient topics, as well as lagged correlation and lagged variance to support possible causal connections between concepts. Using this database, we determined that COVID, crypto, microplastics, and especially social media are important topics of the last few years. We also present results that suggest the development of the internet and the iPhone fueled the prominence of social media, and the access of the iPhone also increased access to the internet.

Cut And Cultivate: Process And Practice, Kailey Atkinson

Master of Fine Arts in Visual Arts

Using a candy-coated, flower-ridden, bright palette and maximalist sense of composition, my artwork builds community through narrative collage, photography, painting, sculpture, poetry, and social practice. Through a feminist lens, these bright works explore body image, gender roles, and social issues. Obsessively collecting and repurposing an archive of vintage imagery, my work draws parallels between traditional and contemporary topics through the language of collage and redaction.  My nascent social practice has led me to engage with narratives outside my own experience and offer my process as a healing modality to other women.

In a tumultuous political climate where art can serve …

Improving The Clinical Trial Landscape For Patients With Atypical Variants Of Alzheimer's Disease, Nick Corriveau-Lecavalier, Neus Falgàs, Deepti Putcha, Jonathan Graff-Radford, Keir X.X. Yong, Baayla D.C. Boon, Rosaleena Mohanty, Eric Westman, Colin Groot, David T. Jones, Lea T. Grinberg, Gil D. Rabinovici, Jennifer L. Whitwell, Liana G. Apostolova, Melissa E. Murray, Dustin B. Hammers, Suzanne E. Schindler, Inga Atonsdottir, Elizabeth K. Rhodus, Jonathan M. Schott, Ignacio Illán-Gala, Ogbuagu Chukwuanugo, Jorge J.Llibre Guerra, Ruth Peters, Erin L. Abner, Carla Abdelnour, Albert Lladó, Renaud La Joie

Epidemiology and Environmental Health Faculty Publications

Patients with atypical variants of Alzheimer's disease (AD) often present at a younger age with predominantly non-amnestic impairments and a more aggressive disease course. Historically, individuals with atypical presentations have not been included in large-scale clinical trials, which typically focus on late-onset, sporadic amnestic-predominant AD. Consequently, treatment options and research efforts specific to atypical AD remain limited. The emergence of amyloid-targeting therapies that slow disease progression underscores these challenges, as evidence supporting their efficacy in early-onset amnestic and non-amnestic AD variants is scarce. This perspective article argues that atypical AD represents an excellent disease model for clinical trials and proposes …

Transportability Analyses In Comparative Effectiveness Research, Blythe Adamson, Wei Liu, Stephen Duffield, Anouk Déruaz-Luyet, Dimitri Bennett, Montse Soriano Gabarró, Mehmet Burcu, Daniela Claudia Moga, Sarah Welby, Tianze Jiao, Xuerong Wen, Grammati Sarri

Epidemiology and Environmental Health Faculty Publications

The Problem: Transportability considerations are increasingly important to answer research questions in comparative effectiveness research (CER) to support the transfer of evidence on medicinal products across countries or settings. As drug development costs rise and healthcare systems and professionals face economic and resource pressures, leveraging existing data and evidence generated across borders or settings can improve efficiency and inform decisions in product development and decision-making (regulatory, health technology assessment [HTA] and clinical care). Differences in population characteristics, healthcare systems, and data availability, including coding discrepancies, may present significant challenges to the transportability of CER evidence. Without rigorous methodological approaches, the …

2026 Cyber-Resilient Health Care Workshop Report, Malcolm Schongalla, Sergey Bratus

Computer Science Technical Reports

The ISTS and the Dartmouth College Cybersecurity Cluster hosted the successful, inaugural Cyber-Resilient Health Care (CRHC) Workshop, March 5th & 6th, 2026. The event theme was "Innovation and Implementation," in response to the need to shift from reactive to proactive resiliency measures in the healthcare sector. Approximately 30 experts in clinical health care, cybersecurity, medical technology, policy, and innovation met to discuss solution-focused innovations addressing hard, cyber-related problems in health care. The agenda featured keynotes, an expert panel, innovation pitches, small group discussions, and a tabletop infrastructure disaster exercise. Participants gained insights into the obstacles and solutions involved in supporting …

Seqra Developments: Amendments To Ease Housing Construction, Revised Regulations, New Cases, Michael B. Gerrard

Faculty Scholarship

In the hopes of easing the housing shortage, on May 26 the New York Legislature passed and Governor Kathy Hochul signed a bill that will exempt many multifamily housing projects from the State Environmental Quality Review Act (SEQRA).

A month before, the New York State Department of Environmental Conservation (DEC) issued regulations on protecting disadvantaged communities, and took steps to require more discussion of climate impacts under SEQRA.

(R2133) Analysis Of A Bulk Queue With Balking, Adaptive Overloading Service, Multiple Vacation, Inspection And Rework, S. Karpagam, R. Lokesh

Applications and Applied Mathematics: An International Journal (AAM)

We consider a queueing system that utilizes a single server to manage product flow through bulk and overload service modes, depending on queue length. Balking occurs when the queue length reaches ‘N’. After completion of service, products undergo quality inspection, with defective products sent for rework based on specific probabilities. If the product is non-defective, the server continues processing until the queue length exceeds a certain threshold; beyond this point, the server is either routed back to bulk service or directed to an overload service. Also, the server goes into a vacation mode when the queue size is below a …

Feedback Loops: What Am I Missing?, Patrick Barry

Articles

In May, 2024, The Wall Street Journal published an article titled “For Conversations You Dread, Try a Chatbot.” Here are the opening lines: Many people worry about the outsize role that AI may eventually play in our lives. But what if employing an AI program could actually help us with issues that cause fear and anxiety? We’ve found that it can be a surprisingly effective tool for figuring out how to approach emotionally charged conversations.

2026 June, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for June of 2026.

Fairlinked: Data Fairification Tools For Materials Data Science, Van D. Tran, Brandon Lee, Ritika Lamba, Henry Dirks, Quynh D. Tran, Balashanmuga Priyan Rajamohan, Ozan Dernek, Laura S. Bruckman, Yinghui Wu, Erika I. Barcelos, Roger H. French

Student Scholarship

FAIRLinked is a software package created to support the FAIRification of materials science data, ensuring proper alignment with FAIR principles: Findable, Accessible, Interoperable, and Reusable. It is built to be compatible with MDS-Onto, an ontology designed to capture the semantics of various types of materials data, enabling integration and sharing across different research workflows. The package is subdivided into three subpackages: InterfaceMDS, RDFTableConversion, and QBWorkflow. The first subpackage, InterfaceMDS allows users to search for terms using either string search or various filters, explore different domains and subdomains, and add terms to MDS-Onto. RDFTableConversion is used for serialization and deserialization of …

Joining Forces: Enhancing Website Usability Through Ux And Assessment At An Academic Library, Josie Cotton, Liz Bober

Researchers, Instructors, & Staff Scholarship

In this chapter, we show how we used assessment and user experience (UX) methods to improve our library’s website. We conducted usability testing, during which we observed participants complete tasks on our website. To help support our testing, we used our library’s biennial user satisfaction survey, where we included several targeted questions that assessed user engagement with the website. We used the results of both assessments to inform updates to the website. Together, the results of our usability testing and survey provide a full picture of website use and lead to a more user-centered website. While the survey was quantitative …

Shaker Meetinghouse, Douglas L. Winiarski

Religious Studies Faculty Publications

"John Wadleigh enlisted five times in the Continental Army. A diminutive but “hard-handed” man lauded for his prodigious work ethic, Wadleigh responded to the Cambridge Alarm in April 1775. His regiment anchored the left flank of the Patriot line arrayed on Breeds Hill and was “one of the last to leave the scene of action.” Over the next six years, this son of a prosperous Hampstead, New Hampshire, farm family marched on Quebec, witnessed Burgoyne’s surrender at Saratoga, and fought invading British forces to a standstill in Rhode Island."

Physics-Informed Machine Learning-Aided Framework For Entrainment Fraction In Gas-Liquid Two-Phase Annular Flow, Anadi Mondal, Subash L. Sharma

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

The liquid film flow rate or droplet flow rate in annular flow is determined by a parameter known as the entrainment fraction. Conventional empirical correlations are commonly employed for predicting the entrainment fraction; however, their applicability is often restricted to specific operating conditions and working fluids. Recently, a few machine learning (ML) models have been developed to achieve better accuracy in entrainment fraction prediction. However, these models are completely data-driven, meaning they are good for prediction in the interpolated domain, but exhibit limited generalization capability in the extrapolated domain. To address this limitation, a physics-informed machine learning-aided framework (PIMLAF), combining …