Digital Commons Network^™

Selecting Without Replacement From A Population Of Bands Of Serially Connected Objects, James E. Marengo, Dominick Banasik, Joseph Voelkel, David L. Farnsworth

Articles

The sampling procedure from a finite population of objects that are serially attached into bands is described and analyzed. One object is randomly selected and removed at a time, which results in that object’s band being broken into two bands or shortened by one object. The main result gives the probability of choosing an object that is part of a band of serially connected objects of any specified size at each stage of the selection process.

Inequality As Market Failure, Erick J. Sam

William & Mary Bill of Rights Journal

This Article explores economic, philosophical, and legal relationships between economic inequality and market failure, and it draws on these linkages to develop an innovative normative justification and alternative constitutional basis for a levy on wealth.

The Article’s central analytic result is that several general mechanisms responsible for common market failures can also systematically produce economic inequalities whenever preferences against extreme inequality are fairly widespread. Because these mechanisms satisfy both the ‘process-based’ and ‘outcome-based’ criteria of market failure, redistributive transfers designed to reduce these inequalities would be normatively justified under the widely accepted market failure theory of government action. On this …

Does Article I Of The Constitution Prohibit The States From Creating Their Own Cryptocurrencies?, Kevin Fontenot

William & Mary Bill of Rights Journal

The market for cryptocurrency (crypto) has exploded in size since the first cryptocurrency, Bitcoin, was created in 2009. As of September 4, 2024, the value of all existing cryptocurrency was $2.02 trillion. On November 14, 2024, this value reached a high of $3.2 trillion, apparently in response to the election of pro-crypto President Donald Trump. Despite the fact that cryptocurrencies have been at the forefront of many high profile scandals, consumers still flock to them. For example, celebrities including Hailey Welch (colloquially known as “Hawk Tuah girl”), Logan Paul, and Jason Derulo have been criticized for allegedly goading consumers into …

Beyond Equality To Belonging: The Missing Value In Equal Protection Law Involving Education, Danieli Evans

Washington Law Review

Belonging is a fundamental need without which people cannot function optimally. Accordingly, school belonging—students’ perceptions of mattering or feeling cared about, accepted, respected and valued by faculty, staff, and peers—impacts students’ well-being, academic motivation and outcomes.

Equal Protection jurisprudence governing education largely overlooks the value of school belonging. Instead, it centers on a formal conception of equality, or an “anti-classification” principle, which essentially prohibits purposeful discrimination based on a fixed set of suspect traits. This formalistic “anti-classification” approach permits many policies and practices that undermine students’ sense of school belonging and inhibits schools from taking certain measures to foster belonging. …

Complex Spin Structure In Co-Trimer-Chain Li2Co3Se4O12, Jie Xing, Feng Ye, Daniel Duong, Sai Mu, Max T. Pan, Rongying Jin

Faculty Publications

Complex magnetic materials are extremely attractive for revealing unconventional spin states and novel magnetic excitations. Here, we report the structural, thermodynamic, and magnetic properties of a novel magnetic material Li₂Co₃Se₄O₁₂based on x-ray and neutron diffraction, specific heat, magnetization, and x-ray photoelectron spectroscopy measurements. X-ray and neutron diffraction refinements reveal two Co sites Co (1) and Co (2) even though both are in the octahedral environment. While they are not connected along the b and c directions, these octahedra are edge-shared forming the Co (2) – Co (1) – Co (2) trimer chain …

Signatures Of The Anthropocene: Population Genomic Structure Detected In Pennsylvania Coyotes, Craig A. Marshall, Julia Halo, Kyle Van Why, Yeraldi Loera, Stavi R. Tennenbaum, Casey Burton, Ariana Di Landro, Dominic Dominguez, Daniel Duncan, Madison Machado, Catalina Posada, Stephen J. Gaughran, Madison Lichak, Kristin Brzeski, Elizabeth Heppenheimer, Bridgett Vonholdt

Michigan Tech Publications

Coyotes (Canis latrans) expanded across eastern North America in the last century and are ecological generalists capable of thriving across diverse habitats. Broad genetic surveillance has reported little spatial genetic patterning for this highly dispersive species. Here, we explore the genome-wide signatures of spatial patterns found in a 10-year study of 1199 coyotes from northeastern United States, with a temporal analysis of Pennsylvania coyotes. Despite their broad dispersal capability, we detected subtle but significant population structure, with two genetic clusters that have a weak clinal transition zone. This partitioning aligned qualitatively with patterns of human population density and activity. We …

Ecology And Life History Of Baleen Whales Inform Climate Change Vulnerabilities And Priorities For Future Monitoring, Lesley H. Thorne, Erin L. Meyer-Gutbrod

Faculty Publications

Baleen whales are key consumers in marine habitats that serve as vectors of nutrients, but their populations have been slow to recover from past commercial whaling due to their low reproductive rates and ongoing anthropogenic threats. Climate impacts have become central to the demography and habitat use of baleen whales, and conservation efforts must account for these impacts to be effective. However, knowledge of baleen whale climate responses is lacking, and current survey effort is insufficient to capture changes in migration and habitat use for many species. Due to their unique combination of ecological and life history characteristics, baleen whales …

Awakening To Languages: Preparing A Peaceful Multilingual World, Michel Candelier, Jean François De Pietro

Dimensions

Awakening to Languages (AtL) is a teaching approach that proposes multilingual activities and accompanies language teaching to foster the learners’ awareness of and openness to multilingualism, while increasing their reflexive metalinguistic abilities. In this article, we describe ATL as a component of Didactics of Plurilingualism (DP) and its main aims and characteristics which will be illustrated through multiple examples of activities and teaching materials. We further discuss the reported effects of AtL on learners, teachers, and parents, followed by current trends in integrating AtL in schools. We then turn to a comparison of core concepts of AtL and DP to …

Realism, Law And Economics, And Lpe Now, Amy Kapczynski

University of Chicago Law Review

No abstract provided.

Law And The Self-Coordinating Market Idea, Sanjukta Paul

University of Chicago Law Review

“This emotional pronouncement of value judgments condemning emotion and value judgments seems to [me] a symptom of a defective sense of humor. The attempt to build a social science on these foundations suggests that the human race, and especially a large proportion of its ‘best minds,’ having at long last (a very long last) found out that the objects of nature are not like human beings—are not actuated by love and hate and caprice and contrariness, and subject to persuasion, cajolery, and threats—have logically inferred that human beings must be like natural objects, and so viewed by the seeker of …

Contagious Discrimination: Why Race-Blind Justice In Courtrooms Is Not Enough, Yijia Lu, Murat C. Mungan

Faculty Scholarship

Existing theories of discrimination focus on discrimination at the individual, societal, or organizational level. We highlight the importance of the dynamic relationship between different institutional actors who jointly give rise to discriminatory outcomes. This reveals that discrimination can be contagious: discrimination that would otherwise not occur at one institutional level can arise due to discrimination at another institutional level. Therefore, discrimination by some actors can trickle down and create disparate impacts in processes that would otherwise be free of discrimination. This phenomenon, which we term “contagious discrimination,” can manifest itself in various settings such as employment and commercial trade negotiations. …

Wealth-Based Disparities In Higher Education: Compounding Privilege, Multiplying Barriers, Rachel Moran, Jonathan D. Glater

Faculty Scholarship

This Special Issue is prompted by a confluence of developments in higher education: increasing access to postsecondary schooling overall and concurrent increasing socioeconomic inequality. After World War II, American colleges and universities began to “massify,” expanding their enrollments by opening their doors to people who previously would have found them closed. First, these institutions admitted veterans, then people of color and women (Altbach and Reisberg 2018, p. 63; Gumport et al. 1997, p. 2; Labaree 2017, pp. 106–7). The U.S. was not an outlier, and in the ensuing decades, nations around the globe saw unprecedented increases …

Deep Learning Approaches For Anti-Money Laundering On Mobile Transactions: Review, Framework, And Directions, Jiani Fan, Lwin Khin Shar, Ruichen Zhang, Ziyao Liu, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam

Research Collection School Of Computing and Information Systems

Money laundering is a financial crime that obscures the origin of illicit funds, necessitating the development and enforcement of anti-money laundering (AML) policies by governments and organizations. The proliferation of mobile payment platforms and smart IoT devices has significantly complicated AML investigations. As payment networks become more interconnected, there is an increasing need for efficient real-time detection to process large volumes of transaction data on heterogeneous payment systems by different operators such as digital currencies, cryptocurrencies, and account-based payments. Most of these mobile payment networks are supported by connected devices, many of which are considered loT devices in the FinTech …

Comprehensively Evaluating The Perception Systems Of Autonomous Vehicles Against Hazards, Xiaodong Zhang, Jie Bao, Jianlei Chi, Jun Sun, Zijiang Yang

Research Collection School Of Computing and Information Systems

Perception systems are vital for the safety of autonomous driving. In complex autonomous driving scenarios, autonomous vehicles must overcome various natural hazards, such as heavy rain or raindrops on the camera lens. Therefore, it is essential to conduct comprehensive testing of the perception systems in autonomous vehicles against these hazards, as demanded by the regulatory agencies of many countries for human drivers. Since there are many hazard scenarios, each of which has multiple configurable parameters, the challenges are (1) how do we systematically and adequately test an autonomous vehicle against these hazard scenarios, with measurable outcome; and (2) how do …

Stepreg: A Comprehensive And Intuitive R Package For Stepwise Regression Analysis, Junhui Li, Kai Hu, Xiaohuan Lu, Cesar B. Sotelo, Sushmita Nayak, Michael A. Lodato, Wenxin Liu, Lihua Julie Zhu

Student Publications [Scholarly]

Stepwise regression remains widely used for model selection, yet the field lacks a comprehensive, well-documented tool that supports diverse model families and selection strategies, implements multiple information criteria, and addresses overfitting and post-selection inference. We present StepReg, an R package that unifies stepwise selection across linear, generalized linear (e.g., logistic, Poisson, Gamma, negative binomial), and Cox models, supporting forward, backward, bidirectional, and best-subset search under various information criteria. StepReg also supports multivariate multiple linear stepwise regression, enabling simultaneous modeling of multiple dependent variables. Users can explore multiple strategies and information criteria within a single function call, and optionally combine them …

Beyond Artifacts And Fossils: Exploring The Contributions And Socioeconomic Impacts Of Montana’S Museums And Paleontological Tourism, Emma Keinath-Lopez, Elena Bigart, Glenna Hartman, Kara Grau, Ava Worbets, Melissa Weddell

Institute for Tourism and Recreation Research Publications

This study explores how Montana’s museums, including those along the Montana Dinosaur Trail, influence communities, economies, and visitor experiences in a post-pandemic environment. Through mixed methods—511 visitor surveys at 44 museums and 18 interviews with museum professionals— this research provides a holistic understanding of museum operations, visitor motivations, and community impacts.

Microstructural Evolution Of Zirconium Diboride Irradiated With 5–10 Mev Au Ions At Room Temperature And 570 °C, Narrie Loftus, José Olivares, Miguel Crespillo, Esther Enríquez Pérez, Jeremy Watts, Eric W. Bohannan, Gregory Hilmas, William Fahrenholtz, Joseph Graham

Materials Science and Engineering Faculty Research & Creative Works

Zirconium diboride was irradiated with 5 MeV Au^2 + , 7 MeV Au⁴⁺ and 10 MeV Au³⁺ ions at room temperature and 570 °C to doses from 1 to 8 displacements per atom (dpa). Grazing incidence X-ray diffraction (GIXRD) analysis revealed no secondary phase formation. Rietveld analysis of the GIXRD data indicated an accumulation of microstrain at low dpa and room temperature. Dislocations observed in transmission electron microscopy (TEM) cross-sections are likely the main contributor to the microstrain. High dpa and high-temperature samples exhibit lower lattice distortion than lower dpa samples, suggesting the presence of enhanced defect …

Examining How Continuous Professional Development Shapes Teaching Practice And Student Learning Outcomes, Jane Rarieya, Mary Oluga, Nyagwegwe Wango

Institute for Educational Development, East Africa

Purpose: This study examines how Teacher Continuous Professional Development (TCPD) initiatives implemented through the Strengthening Education Systems in East Africa (SESEA) and Foundation for Learning (F4L) projects influence teaching practices and foundational learning outcomes in Tanzania, Kenya, and Uganda.

Methodology: The study employed a mixed-methods research design using longitudinal data from classroom observations, teacher questionnaires, student assessments, and key informant interviews. Data were collected from trained teachers, teacher educators, school leaders, and learners across selected project regions to evaluate changes in instructional practices and learning outcomes.

Findings: The findings indicate that TCPD significantly improved teachers’ adoption of child-centered, play-based, inclusive, …

Use Of A Cystatin C-Based Gfr Equation In A Population Pharmacokinetic Model Of Methotrexate Clearance In Adult Patients With Lymphoma., Zachary L. Taylor, Erin F. Barreto, Kristin C. Cole, Andrew D. Rule, Kianoush B. Kashani, Nelson Leung, Carrie A. Thompson, Thomas E. Witzig, Laura Ramsey, Jason N. Barreto

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: High-dose methotrexate (HDMTX) is a key treatment for lymphoma with central nervous system involvement. Whether incorporating cystatin C into glomerular filtration rate estimation improves methotrexate (MTX) clearance prediction remains unclear.

OBJECTIVES: We aimed to evaluate whether cystatin C-inclusive glomerular filtration rate equations improve MTX clearance prediction and to explore the relationship between MTX exposure and acute kidney injury (AKI) in adult patients with lymphoma receiving HDMTX.

METHODS: This was a prospective single-center study performed on 80 adult patients with lymphoma receiving HDMTX (1.5-8 g/m²) over a 4-h infusion. A population pharmacokinetic model was constructed using data from …

X-Ray Emission In Illustristng Circum-Cluster Environments: Ii. Possible Origins Of The Soft X-Ray Excess Emission, Celine Gouin, Daniela Galárraga-Espinosa, Massimiliano Bonamente, Stephen Walker, Mohammad Mirakhor, Richard Lieu, Clotilde Laigle, Etienne Bonnassieux, Charlotte Welker, Stefano Gallo, Tony Bonnaire, Jade Paste

Publications and Research

Context. An excess of soft X–ray emission (∼0.2 − 1 keV) above the contribution from the hot intracluster medium (ICM) has been detected in a number of galaxy clusters, including the Coma cluster. The physical origin of this emitting medium above the hot ICM has not yet been determined, in particular, it is unclear whether it is thermal or nonthermal.

Aims. We investigate the gas phase and gas structure that reproduce the soft excess radiation from the cluster core to the outskirts best using simulations.

Method. By using the IllustrisTNG simulation (TNG300), we predict the radial profile of thermodynamic properties …

Cylindformer: Image-To-Point Cloud Registration With Cylindrical Transformer, Jingtao Wang, Hao Tang, Yanpeng Sun, Shengfeng He, Zechao Li

Research Collection School Of Computing and Information Systems

Accurate correspondence extraction between distinctive pixel-wise and point-wise features is critical for image-to-point cloud (I2P) registration. Recent efforts leveraging Transformers for I2P feature representation have demonstrated potential, primarily by first capturing intra-modality global contextual dependencies via self-attention, and then learning cross-modality correlations via cross-attention. The strength of vanilla Transformers lies in modeling cross-modality global feature correlations. However, such mechanisms often struggle with the structural disparity between dense image pixels and sparse 3D points, hindering the establishment of fine-grained correspondences. Moreover, global attention may introduce ambiguity, as interactions with many inconsistent regions of intra-modality may degrade feature distinctiveness. To address these …

Private Set Intersection: A Systematic Review, Yunbo Yang, Defan Zhu, Jianting Ning, Qi Feng, Xiaoguo Li, Yuejia Cheng, Guomin Yang, Kui Ren

Research Collection School Of Computing and Information Systems

Various services, such as search engines, are increasingly deployed in cloud-based and distributed systems. However, data are typically managed by trusted servers, making user privacy and data security critical concerns. Private set intersection (PSI) is a powerful cryptographic primitive that enables multiple parties to compute the intersection of their datasets without revealing private inputs. It has been extensively studied over the past two decades, leading to significant gains in computational and communication efficiency. Yet, in many real-world scenarios, revealing the raw intersection may still leak sensitive information. To address this, numerous PSI variants have been developed to meet different application …

Improving Public Transport Through Machine Learning Influence Flow Analysis (Mifa): Southern England Bus Case Study, Benjamin Lee, Wolfgang Garn, Masoud Fakhimi, Nick F. Ryman-Tubb

Research Collection School Of Accountancy

Public transport (PT) is crucial for enhancing the quality of life and enabling sustainable urban development. As part of the UK Transport Investment Strategy, increasing PT usage is critical to achieving efficient and sustainable mobility. This paper introduces Machine Learning Influence Flow Analysis (MIFA), a novel framework for identifying the key influencers of PT usage. Using survey data from bus passengers in Southern England, we evaluate machine learning models. Subsequently, MIFA uncovers that easy payments, e-ticketing, and mobile applications can substantially improve the PT service. MIFA’s implementation demonstrates that strength and importance lead to specific insights into how service characteristics …

A Data-Guided Analytical Framework For Assessing The Value Of Additional Variables In Heart Transplant Decision Making, Ali Dag, Hamidreza A. Dolatsara, Abdullah Asilkalkan, Joseph Ekong, Kamil Ciftci, Ugur Kucuk, Ozlem Cosgun

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Heart transplantation is a life-saving procedure for patients with end-stage heart failure. The United Network for Organ Sharing (UNOS), which administers the US organ allocation system, substantially expanded the number of clinical and demographic variables collected in its database in 2004. This study examines whether these newly added variables improve the ability to predict survival outcomes for patients on the heart transplant waiting list. An information-gain-based feature selection approach, supported by an extensive review of prior studies, was combined with survival analysis and regularized regression to identify the most influential predictors. Using the selected variables, several classification models, including tree-augmented …

A Data-Guided Analytical Framework For Assessing The Value Of Additional Variables In Heart Transplant Decision Making, Ali Dag, Hamidreza Ahady Dolatsara, Abdullah Asilkalkan, Joseph Ekong, Kamil Ciftci, Ugur Kucuk, Ozlem Cosgun

School of Business

Heart transplantation is a life-saving procedure for patients with end-stage heart failure. The United Network for Organ Sharing (UNOS), which administers the US organ allocation system, substantially expanded the number of clinical and demographic variables collected in its database in 2004. This study examines whether these newly added variables improve the ability to predict survival outcomes for patients on the heart transplant waiting list. An information-gain-based feature selection approach, supported by an extensive review of prior studies, was combined with survival analysis and regularized regression to identify the most influential predictors. Using the selected variables, several classification models, including tree-augmented …

Evaluating Carbon Risk And Benefit Under Improved Forest Management Prescriptions In A California Mixed Conifer Stand, Jonathan A. Garcia

Master's Theses

Improved forest management (IFM) prioritizes carbon accumulation through practices such as extended rotations and retention harvesting. These management strategies, increase fuel loads and elevate the potential fire intensity, may offset the benefits of carbon sequestration. Additionally, IFMs use spatially complex silvicultural treatments that may introduce prediction errors into the simulation processes used for long-term projections, and carbon accounting.

We evaluated the extent to which calibration in the Forest Vegetation Simulator (FVS) reduces error in aboveground carbon stock predictions and tested whether modeling approaches and calibration influence the magnitude and direction of basal area increment (BAI) prediction error using generalized mixed-effects …

Building Connections With Graduate Students Through Credit-Bearing Instruction, Michelle Desilets, Kimberly Pendell

Library Faculty and Staff Publications and Presentations

Graduate students often need support with research skills and other professional development that is under-recognized by their programs. Librarians play a key role in helping students fill in these gaps. This case study reviews student feedback on a librarian-developed and -delivered credit-bearing course. The course, Library Research and Scholarly Communication Fundamentals, is offered to graduate students across all disciplines. The curriculum is flexible and applicable to each student’s research, covering topics such as researching literature, citation and data management, and publishing in scholarly journals. The course has generated positive and constructive feedback from students, encompassing themes of self-efficacy, improved research …

Press Play! Integrating Gamified Tools Into Web- Based Formative Social Studies Assessments, Victoria L. Pierce

South Carolina Association for Middle Level Education Journal

In an increasingly technology-dependent world, middle school students are emergent experts in technology use although novices in content knowledge. Middle school social studies teachers have dual issues of relevance and rigor to balance in their instruction with students at this developmental level. To strengthen students’ historical reasoning skills, middle school social studies teachers can implement gamified learning in a variety of ways to make use of technology skills and interests of students while also meeting content standards. This research models integration of gamified assessment into a virtual learning environment featuring educational games from organizations such as iCivics and Next Gen …

Front Matter

South Carolina Association for Middle Level Education Journal

No abstract provided.

Scamle Journal 2026 Full Volume

South Carolina Association for Middle Level Education Journal

No abstract provided.