Digital Commons Network^™

Governing Economic Statecraft: Procedural Guardrails From State Practice, Wto Rules, Multilateral Trade, Dah-Wei Yih

Case Western Reserve Journal of International Law

National security exceptions have long been part of international trade law, but their use has expanded alongside the rise of economic statecraft. States now increasingly rely on geoeconomic tools such as sanctions, subsidies, tariffs, and investment and export controls to pursue geopolitical goals. This phenomenon, described by political scientists as “weaponized interdependence,” has blurred the boundary between economic policy and national security, thereby straining the integrity of WTO rules and the multilateral trading system.

Against this backdrop, how can states promote rule-of-law values such as transparency and predictability on the international plane as they implement geoeconomic policies?

This Article makes …

State Complicity And The Threshold Of Knowledge: From Fragmentary Evidence To Evidentiary Saturation, Christina Bradic

Case Western Reserve Journal of International Law

The International Court of Justice’s (ICJ) 2007 judgment in Bosnia v. Serbia turned on evidentiary gaps. Although the ICJ recognized that genocide had been committed at Srebrenica, it declined to hold Serbia complicit, reasoning that the record did not prove awareness of genocidal purpose. Intelligence was piecemeal, contemporaneous witnesses were scarce, and the ICJ refused to infer knowledge absent direct proof.

Two decades later, the evidentiary environment looks radically different. In October 2024, ninety-nine American healthcare professionals who had volunteered in Gaza sent an open letter to the White House reporting that children with gunshot wounds to the head or …

Individual Olympic Athlete Participation Model: Moving Toward The Standardization Of International Olympic Committee Sanction Power, Claire Fedor

Case Western Reserve Journal of International Law

In 2024, at the Paris Olympic Games, the Russian Olympic Committee was notably absent; however, the International Olympic Committee admitted a select group of Russian and Belarusian athletes to compete under the title “Individual Neutral Athlete.” The athletes’ eligibility was determined by an Individual Neutral Athlete Eligibility Review Panel, and their participation required strict adherence to specifically tailored principles. This model is the most recent approach to permitting individual athletes’ participation despite their National Olympic Committee (NOC)’s suspension from the Olympic Games. This Note examines the absence of a uniform application for individual athlete participation in the Olympic Games amid …

Prescribed Fire Liability And Administration In Western States: An Empiricalanalysis And Call For Reform, Stephen R. Miller, Anastasia Telesetsky

Utah Law Review

Wildfires have grown exponentially over the last few years due to fuel loads, range- and timber-management policies, and climate change. The cost of fire suppression is also growing in both rural and urban areas. For instance, the 2016 Pioneer Fire in rural Idaho cost around $100 million to fight, while the 2025 urban conflagrations in Los Angeles, California destroyed over 16,000 structures despite an astonishing array of suppression resources deployed. Something new, and something big, in terms of law and policy interventions, is needed to stem the intensity of wildfires. Increasingly, governments, private citizens, and even corporate interests like insurance …

Plastic Pollution: Investigating Environmental Pathways And Critically Evaluating Interventions, Florence Parker-Jurd

School of Biological and Marine Sciences Theses

Plastics are lightweight, versatile, and durable materials used in the manufacture of a wide range of products. Innovation in the early 1950’s facilitated a dramatic reduction in production costs with the potential to mass produce inexpensive convenience items intended for single use applications. As a consequence, plastic production has grown exponentially over the last 75 years, and a throw away culture of single use has become deeply engrained in modern society. Plastic production exceeds 450 million tonne/yr, substantially exceeding our capacity to manage associated waste resulting in pollution accumulating in every compartment of the natural environment. While plastic pollution has …

Influence Of Ecological Transitions On The Evolution Of Circadian And Light Detection Genes In Squamates, Isobel Sleep

School of Biological and Marine Sciences Theses

Circadian rhythms are self-sustaining, endogenous processes that align behaviour and physiology with daily environmental cycles. Rhythms are regulated by conserved genes forming transcriptional feedback loops and are entrained by environmental cues (e.g., light). Circadian systems are well studied in model organisms, their molecular evolution in squamates (lizards and snakes) remains less understood. Squamates represent the most species-rich reptile group with extensive ecological and sensory diversity, exhibiting multiple independent transitions across ecological niches, including repeated shifts into low-light environments (e.g., nocturnality, fossoriality), making them ideal for examining circadian and light-associated gene evolution. This study investigates how ecological transitions have influenced the …

Coping With Climate Change: The Role Of Plasticity Within And Across Generations, Caitlin Mcandry

School of Biological and Marine Sciences Theses

Climate change is leading to increased mean temperatures and more frequent and severe temperature anomalies, threatening organisms globally. Phenotypic plasticity, the ability of a given genotype to express different phenotypes in different environments, may offer a mechanism that allows organisms to temporarily persist in a rapidly changing environment, ultimately buying time for genetically based adaptations to evolve. Plasticity has been demonstrated both within and across generations, in response to different environmental stressors. However, our understanding of the interactive effects of plastic responses across levels of biological organisation, and over temporal scales from hours to generations, is still limited. Additionally, we …

Application Of Coastal Change Management Areas (Ccmas) For Coastal Adaptation To Climate Change Impacts In Sw England, Josie-Alice Kirby

School of Biological and Marine Sciences Theses

Coastal Change Management Areas (CCMAs) were introduced into the English planning system in 2012 to enable anticipatory management of long-term coastal change. However, their implementation has been limited and inconsistent, reflecting uncertainty in how future shoreline change should be defined and translated into statutory planning boundaries. This thesis addresses the gap between national coastal adaptation policy and the scientific evidence required to support its practical application.The research combines policy analysis, geomorphological classification and probabilistic modelling to develop a structured framework for delineating areas of future coastal change. Chapter 2 evaluates the national implementation of CCMAs and demonstrates substantial variability in …

From Public To Policy How Jellyfish Data And Citizen Science Can Be Used For Biodiversity Management, John Terenzini

School of Biological and Marine Sciences Theses

Long term biodiversity data is necessary for detecting biological and ecological changes to marine ecosystems. The data can inform marine policy, yet data are often lacking for some species and traditional data collection approaches can be logistically challenging and expensive. Jellyfish are one taxon for which data are lacking, and data collection can be challenging due to their life history traits and the inherent challenges of marine research. This research aims to provide evidence for the importance of monitoring jellyfish, demonstrate the effectiveness of citizen science for monitoring jellyfish, and examine how jellyfish monitoring data can inform international frameworks. The …

Maine Law Magazine - Issue No. 100, University Of Maine School Of Law

Maine Law Magazine

Features

• Maine Law’s Privacy Program Continues to Innovate
  How Maine Law’s privacy and innovation programs are preparing students for emerging legal challenges.

• New Business & Law Clinic
  Strengthening Maine’s economy one startup at a time.

• Global Experiential Learning
  From the Arctic Circle to U.N. climate negotiations, students engage with environmental law where it happens.

• Rural Access to Justice
  The Rural Practice Clinic’s impact on Maine’s growing justice gap.

• Law & Conservation Efforts
  How Maine Law alumni steward change and safeguard the future through environmental advocacy.

• Supporting Maine’s Vulnerable
  The Refugee & Human Rights Clinic expands access to justice across Maine. …

Factors That Impact K-6th Grade Teachers’ Sense Of Self-Efficacy: A Mixed Methods Study, Becky A. Eckburg

West Chester University Graduate Theses, Dissertations, and Final Projects

Although there have been efforts to narrow the "achievement gap," research shows that the academic achievement levels of students in low socioeconomic school settings are likely to be significantly lower than the academic achievement levels of students in higher socioeconomic school settings (Babayiğit et al., 2021; Rahman et al., 2024). Studies also show that teachers have a significant impact on their students' growth, no matter what their academic setting may be (Petek & Pope, 2023), and that collective teacher self-efficacy is a significant factor in positive student achievement (Hattie, 2008). If targeted professional development could support teachers' self-efficacy, student achievement …

Structures Of Fantasy In Terry Gilliam's 'Time Bandits', Sean Fash

West Chester University Graduate Theses, Dissertations, and Final Projects

Terry Gilliam’s use of fantasy genre conventions in his filmography is obvious in presence, but elusive in understanding.  Time Bandits, as an early entry into this filmography, simultaneously seems to mock and embody these genre conventions.  This paper seeks to find a way to understand Time Bandits on a structural level through existing frameworks in fantasy criticism and to see what deeper meanings the film holds behind its silly, fantastical presentation.  These structural templates of analysis are John Clute’s “full fantasy model” from his Encyclopedia of Fantasy and Farah Mendlesohn’s “portal quest fantasy” from her Rhetorics of Fantasy.  By deconstructing …

From Pañales To Partnership: An Ethnographic Investigation Of Knowledge, Gender, And Power Within A Family Literacy Program, Sara Mohler

West Chester University Graduate Theses, Dissertations, and Final Projects

Within research on family literacy programming (Lynch & Prins, 2021), few studies bring together assets-based perspectives on knowledge and power alongside critical feminist lenses. This qualitative case study (Dyson & Genishi, 2005; Yin, 2018) informed by ethnography (Alonso Bejarano et al., 2019; Desmond, 2014; Günel & Watanabe, 2024) aimed to understand the culture of one family literacy program serving primarily Mexican-American families, named here the Treehouse Preschool, giving particular attention to the intersecting elements of knowledge, gender, and power as they are enacted across the roles and relationships of families and personnel participating in in the program. Data for this …

Transforming Lives For Eternity: 2025-2026 Year End Summary, Southern Adventist University

Strategic Plans

Transforming Lives for Eternity 2025-2026 Year End Summary.

Unexpected Longevity In Myasthenia Gravis, Bhupendra O. Khatri, Scott Schutten, Sergey Tarima

Biostatistics Faculty Publications

Background: This study compares age at death in patients with myasthenia gravis (MG) and multiple sclerosis (MS) with the general U.S. population and examines age at death patterns during a period preceding modern high-efficacy therapies. Objective: To compare age at death among individuals with MG and MS with the general population and assess differences in age at death between MG and MS. Design: Retrospective population-based study using death certificate data from four U.S. states (Florida, Wisconsin, Texas, and New York) for 2000, 2005, 2010, and 2015. Methods: Individuals with MG or MS listed on death certificates were identified. Age at …

Catwalk Xt Enables Sensitive Detection Of Locomotor Deficits After C2 Hemisection And Integrates Readily Into Ongoing Experimental Workflows In Adult Female Rats, Aaron L. Silverstein, Christopher M. Calulot, Christopher J. Mclouth, John C. Gensel, Warren J. Alilain

Biostatistics Faculty Publications

Over half of all spinal cord injuries (SCIs) in the United States occur at the cervical level and often cause both life-threatening breathing dysfunction and profound locomotor deficits. Although the C2 hemisection (C2Hx) model is vital for study of breathing dysfunction after experimental SCI, post-C2Hx locomotor deficits have only been assessed by metrics such as the Martínez Scale and ladder tests, which require time-intensive scoring by human observers. However, the CatWalk XT Gait Analysis system (Noldus Information Technology) delivers automated, quantitative assessment of interlimb coordination, gait cycle, and paw function, providing robust locomotor data in a time-efficient and practical manner. …

Integration Of Community-Engaged Research Technology And Methods To Guide Tobacco Regulatory Science In Rural Communities, Melissa H. Abadi, Stephen R. Shamblen, Mary Kay Rayens, Kirsten T. Thompson, Amy Wildman, Kathy Rademacher, William Wieczorek, Raphael Nishimura, Shyanika W. Rose, Mikhail N. Koffarnus, Seth Himelhoch, Ellen J. Hahn

Biostatistics Faculty Publications

Objective – This study aims to build a rural Appalachian cohort to examine how US Food and Drug Administration (FDA) Center for Tobacco Products (CTP) regulatory policies influence tobacco and nicotine product use across levels of rurality. Methods – The AppalTRUST (Appalachian Tobacco Regulatory Science Team) Cohort integrates four inter-connected Community-engaged Research + Technology (CEnRT) elements to support recruitment and retention: (1) building trust and cultural relevance; (2) addressing barriers to participation in research; (3) focusing on ethics and confidentiality; and (4) fostering ongoing and consistent collaboration between the scientific and field teams. The study uses a dual sampling design …

Rethinking Team Science Metrics Through Collaborative Guideposts, Kristen J. Mcquerry, Kelsey Karnik, Megan E. Hall, Caitline Phan, Yana Feygin, Emily Slade

Biostatistics Faculty Publications

Introduction – The increasing reliance on interdisciplinary and transdisciplinary teams has reshaped how science is conducted, yet evaluating the success of such teams remains a persistent challenge. Traditional metrics, such as publication counts, impact factors, and citation indices, fail to capture the full scope of team contributions, particularly in contexts where success may be defined by community engagement, mentorship, or long-term collaboration. Methods – In this Perspective, we introduce Collaborative Guideposts, a framework designed to align success metrics with a team’s organizing priorities. We illustrate this approach through two contrasting team models from a biostatistical collaboration center: Team A, a …

The Multidimensional Impacts Of Poverty On Adolescent Outcomes, Klarence Baker

Graduate Research Papers

Poverty is a pervasive, multidimensional phenomenon that extends beyond financial scarcity to encompass a lack of both tangible and intangible resources necessary for healthy development. This research article synthesizes current literature to explore the profound impacts of poverty on adolescents specifically examining how economic hardship influences long term outcomes in financial attainment, educational success, and physical and mental health. This study investigates how cooccurring risk factors can disrupt neural development and social trajectories. The primary purpose of this study is to assess the duration and severity of poverty exposure and its lasting effects extending into adulthood. This research examines three …

Mapping The Geography Of Economic Espionage In The United States (2000–2025): An Applied Counterintelligence And Spatial Analysis, David A. Turner

Graduate Research Papers

This Graduate Research Project examines whether economic espionage incidents within the United States exhibit structured geographic patterns aligned with innovation ecosystem density. Using a verified dataset of 135 publicly documented economic espionage and foreign-linked trade secret theft cases between 2000 and 2025, this study applies Geographic Information Systems (GIS) analysis to evaluate spatial concentration, sectoral prioritization, and foreign nexus distribution.

Kernel Density Estimation and state-level aggregation reveal disproportionate clustering within innovation-dense regions, including California, New York, and major Midwestern industrial corridors. Aerospace and defense technologies, energy technologies, and semiconductors and microelectronics collectively account for 55.6 percent of all documented cases. …

“En La Clase, Sí. En Estados Unidos, No.”: La Motivación, La Pertenencia Y El Intercambio De Recursos En Clases Para Adultos Aprendices De Inglés, Katie Hunter

Graduate Research Papers

En los Estados Unidos, los programas de educación para adultos pueden abrir la puerta a varias oportunidades para estudiantes con trasfondos académicos no tradicionales. Los programas como la educación básica para adultos, la equivalencia de escuela secundaria, la preparación profesional y técnica y, lo más importante para los propósitos de este estudio, la educación para adultos aprendices de inglés, promueven el progreso profesional y apoyan a los estudiantes a identificar y trabajar para alcanzar sus metas personales. Sin embargo, en este contexto educativo es de suma importancia reconocer el conocimiento arraigado en la experiencia vivida que los estudiantes traen al …

Digital Lover: Insecure Attachment Styles And Romantic Parasocial Relationship Among Chinese Female Otome Game Playersdigital Lover: Insecure Attachement Styles And Romantic Parasocial Relationship Among Chinese Female Otome Game Players, Weifan (Kyrie) Zhang M.S.

Selected Full Text Dissertations, 2011-

The existing literature has explored the relationship between insecure attachment styles and parasocial relationships, particularly focusing on traditional media such as television. However, it has largely overlooked the novel form of media represented by contemporary Chinese otome games, which offer an idealized digital environment potentially more appealing to players with insecure attachment styles. Moreover, previous studies have not sufficiently differentiated between general parasocial interactions and the specific nuances of parasocial romantic relationships unique to romantic video games (RVGs). This study seeks to bridge these gaps by examining the psychological underpinnings of Chinese female players' engagement with female-oriented romantic video games. …

Selling Ideals: Sexualization In Teen Girl Magazines, 2007-2017, Megan Coogan

Honors Theses - Providence Campus

Magazines are made to sell more than just a product; they sell lifestyles and ideals. Teen girl magazines target adolescents starting as young as twelve years old, but is the content in its pages appropriate and identifiable for that demographic? This study investigated how levels of perceived sexualization changed between 2007, 2012, and 2017, in Seventeen and Teen Vogue magazines. A decrease in perceived sexualization was expected across the ten-year period of time. This window of time reflects the last ten years of publication for both magazines. Research was conducted by creating and utilizing a grading system for non-explicit sexualized …

The Lived Experience Of Intimate Partner Violence For Females In Emerging Adulthood: A Qualitative Study, Laurel Dobkin M.S.

Selected Full Text Dissertations, 2011-

Emerging adulthood is the developmental period between ages 18 to 25 where individuals begin to explore their worldviews and develop intimate relationships. This period is important for developing a sense of identity and self (Arnett, 2000, 2014). During this period, negative events or relationships, such as intimate partner violence (IPV), may have detrimental effects (Erikson, 1968; Barreto & Frazier, 2012). While literature suggests that IPV has high rates and negative consequences in emerging adulthood (Bhattacharjee & Gopal, 2022; Centers for Disease Control and Prevention [CDC], 2024; Shen & Kusunoki, 2019), there is little research on the subjective experience of females …

A Comparative Analysis Of Supervised Machine Learning Techniques For Predicting It Incident Resolution Time, Ammad Hussain, Hussnain Yaqoob

ICT

IT support teams are facing the persistent challenge in estimating how long an incident will take to resolve. The lack of reliable predictions, planning decisions around staffing, escalation and user communication are largely guesswork. This project set out to address that gap by building a machine learning solution capable of predicting incident resolution time from details available at the point a ticket is logged.

Using the UCI IT Incident Event Log dataset, which contains 141,712 records from a real service management system, the project followed the CRISP-DM framework across six phases from business understanding through to deployment. After thorough data …

A Comprehensive Study Of Sarima And Xgboost Models For Short-Term Traffic Volume Forecasting At A Melbourne Intersection (Victoria), Australia, Douglas Vinicius Dierings, Felipe Fontanive Marques

ICT

Traffic congestion is an increasing challenge in modern cities, impacting transportation efficiency and urban sustainability. This project focuses on short-term traffic volume forecasting, using 15-minute Sydney Coordinated Adaptive Traffic System (SCATS) data collected from the State of Victoria, Australia. The study compares two forecasting approaches: SARIMA, a statistical time-series model, and XGBoost, a decision-tree machine-learning model. Historical traffic data from 2022 to 2024 was analysed to identify traffic patterns, seasonal trends, and peak traffic periods. The models were evaluated for their effectiveness in handling urban traffic behaviour. The results of this study aim to support smarter traffic management, infrastructure planning, …

Identifying New Programme Development Viability, Grant Goodwin

ICT

Higher Education Institutions (HEIs) face the challenge of developing programmes that respond to changing labour market needs while providing graduates with relevant employment opportunities and ensuring institutional financial viability. Rapid technological and economic changes make it increasingly important for HEIs to use reliable data to identify emerging skills and workforce demands. This project explores the use of machine learning and nationally collected employment data to support evidence-based decision-making in higher education programme development. By analysing patterns and relationships within labour market data, machine learning models can help identify areas of growing demand and provide insights into the potential alignment between …

Seasonal Dublin Airport Passenger Arrivals Forecast For The Economy Sector Of Dublin Airport, Roberto Tavares De Oliveira Neto

ICT

Dublin Airport plays a significant role in Ireland’s tourism and commercial sectors, with passenger demand directly influencing retail, hospitality, car rental and other airport-related businesses. Accurate forecasting of passenger numbers can support these sectors in planning marketing activities, managing stock levels and making evidence-based operational decisions. This project develops a monthly forecasting framework for passenger arrivals at Dublin Airport using data from the Central Statistics Office (CSO). Building on previous exploratory data analysis, the study evaluates five time series forecasting approaches: ARIMA, SARIMA, Holt-Winters Triple Exponential Smoothing, TBATS, and an automated model comparison pipeline using PyCaret. The models are assessed …

Machine Learning For Early Obesity Risk Prediction, Giuseppe Cutugno

ICT

Obesity is a major global public health concern, with significant implications for individual health, healthcare systems, and wider economic outcomes. Early identification of obesity risk can support preventive strategies and encourage healthier lifestyle choices before health conditions become more severe. This project develops a machine learning framework for estimating obesity levels using data relating to individuals’ physical characteristics, eating habits, lifestyle behaviours, and demographic factors. Following the CRISP-DM framework, the project examines the structure and limitations of the dataset, including its mixture of objective measurements, survey-based variables, and synthetically generated observations. Two modelling approaches are considered, one including BMI as …

Predicting The Next Recession With Machine Learning, David Heffernan

ICT

Economic recessions can have significant consequences for businesses, households, financial markets, and policymakers, creating a need for improved understanding of the factors associated with economic downturns. This project analyses historical US economic and financial data to examine patterns associated with previous recessionary periods and assess whether machine learning can be used to identify recession risk. The study uses a two-tier analytical approach, combining a macroeconomic dataset covering 1960 to the present with a more detailed dataset from 1987 onwards that incorporates financial markets, house prices, and consumer confidence. Building on previous exploratory analysis, the project develops and evaluates three machine …