Digital Commons Network^™

Daily Religious Life Of Muslims In Kazakhstan And Central Asia During The Soviet Period: Controlled Institutions, Unofficial Islam, And Atheist Policy, Adiyet Kairken, Kuralay Aubakirova

Occasional Papers on Religion in Eastern Europe

The core focus of this study is the dialectic between the anti-religious policies enforced by the Soviet totalitarian regime in Central Asia and Kazakhstan and the resilience of Muslim communities in preserving their spiritual and cultural identity. This article provides a comprehensive analysis of the daily religious lives of Muslims under Soviet rule, examining the constraints placed on religious obligations and the functions of state-controlled religious institutions. The research investigates the mechanisms of the state apparatus, including atheist propaganda techniques, educational campaigns targeting the youth, and the role of official religious directorates. Furthermore, the study identifies the significance of underground …

Can Federalism Protect Subnational Liberal Democracy From Central Authoritarianism?, James A. Gardner

Journal Articles

Liberal democracy is eroding rapidly around the globe, including in the United States, raising alarming questions about whether American democratic institutions will endure. Nevertheless, some have speculated that federalism may protect liberal democracy at the subnational level when the central government turns authoritarian. This article argues that such optimism is premature: there is no a priori basis on which to predict the effect of central democratic backsliding on the quality of subnational democracy. Federal theory does suggest that internal heterogeneity in basic political commitments is likely to produce an escalating pattern of severe and possibly intractable intergovernmental conflict. Empirical evidence …

Embedded Tense And The Problem Of Acquisition, Sam Alxatib, Spencer Caplan

Publications and Research

What we hope to do is pose questions that, to our knowledge, have not received attention in the literature. The broad form of the question is all too familiar: how do speakers of a language—say, English—come to possess the grammatical knowledge that they demonstrate? The questions that guide this paper are narrow instances of this broad one, narrowed in three ways. First, they concern three particular languages: Japanese, English, and Russian. Second, they concern tenses specifically, and more specifically still, constructions containing embedded tenses. Third, they concern the semantics of tense. The learning challenge of interest to us is not …

Deepseek And The First Amendment: Assessing The Eighth Circuit And Missouri’S Legal Impact On Open-Source Ai, Alvin Hoi-Chun Hung

Missouri Law Review

The rise of open-source generative artificial intelligence (AI) models presents new challenges for First Amendment jurisprudence. Although computer code has been recognized as protected speech, the emergent nature of AI-generated outputs complicates the boundary between human expression and machine autonomy. This Article examines the constitutional and regulatory implications of compelled disclosures and content filtering, situating the analysis within the precedent of the Eighth Circuit Court of Appeals and recent actions by the Missouri Attorney General targeting algorithmic opacity under consumer protection law. It further examines the limitations of Section 230 of the Communications Decency Act in addressing liability for autonomous …

Constricted Legality: Daca Recipients, Belonging, And The Limits Of Immigration Law, Lisa M. Martinez

University of Colorado Law Review

No abstract provided.

New Hampshire Tcap, Riley Lane

Honors Theses and Capstones

No abstract provided.

"That She May Bear On My Knees:" An Adoption Ritual In The Hebrew Bible, Claire Ellen Hobbs

Honors Theses and Capstones

No abstract provided.

How Historical Experiences Shaped The Italian Constitution: A Comparative Perspective With The United States, Kaitlin M. Rocca

Honors Theses and Capstones

No abstract provided.

Taboo And Innuendos: A Conversation Analysis Of Dirty Jokes, Bailey Fraser

Honors Theses and Capstones

No abstract provided.

Preserved Artificial Grammar Learning In Individuals With Parkinson’S Disease: A Systematic Review, Sarah I. Cranna

Honors Theses and Capstones

Abstract

            Implicit statistical learning is a crucial cognitive function that is highly involved in the learning and processing of language. Since both language and implicit statistical learning are supported by the basal ganglia through cortico-striatal networks, disruptions to this network could result in their impairment. Parkinson’s Disease (PD) can therefore be used to model disruptions to this system as it is primarily characterized by dysfunction in the basal ganglia. Thus, this review aims to examine the current literature studying the performance of individuals with PD on artificial grammar tasks in order to investigate the impact of impaired basal ganglia function …

Phonetics And Orthography In French: A Proposal For A New Course, Kyara A. Crespo Gutierrez

Honors Theses and Capstones

No abstract provided.

Faces Of Formalism, Jeffrey A. Pojanowski

Journal Articles

Formalist approaches to legal interpretation, such as textualism and originalism, are ascendant in federal statutory and constitutional law. Yet with success have come uncertainty and dissatisfaction. Formalists and their critics observe that textualism and originalism can seem as open-ended as the purposive and dynamic methods they were supposed to replace. This Article tries to diagnose the source of this discontent. It does so by identifying two different faces of formalist interpretation: the formalism of authority—adherence to original sources of law—and the formalism of method—constraint through predictable, rule-bound interpretation. Defenses of formalism often assume these two paths to constraint run together, …

The Object Of Interpretation, Francisco J. Urbina

Journal Articles

This Article provides an account of the object of legal interpretation. It examines various potential objects: text, lawmaking choice, practice, and order. The Article argues for a pluralist conception of the object of interpretation, according to which all of these alternatives are possible objects. In making this argument, the Article puts forth an account of the nature of the object of interpretation. The object of legal interpretation is, in essence, what is treated as a source of law, a fact that is recognized as generating law. As such, which alternative is exactly the object of interpretation in a given context …

Generative Ai For Born-Digital Collections: A Case Study For Metadata Management In An Institutional Repository, Tang (Cindy) Tian

Journal Articles

This case study examines the application of generative artificial intelligence (AI) tools, specifically ChatGPT-4o, ChatGPT-5, and Google Gemini 2.5 Flash, to streamline metadata extraction and creation for a born-digital collection within a digital repository environment. Testing four descriptive metadata elements—titles, abstracts, keywords, and full-text URLs—the study shows that AI improves efficiency in structured tasks but remains limited in semantic ones such as keyword matching. Results demonstrate that AI can streamline metadata workflows for small or resource-constrained institutions while emphasizing the continuing importance of human oversight and ethical responsibility in AI-assisted metadata workflows.

Preoperative Patient Sentiment Is Associated With Postoperative Outcomes In Adult Spinal Deformity Surgery, Ross J. Gore, David Mazur-Hart, Mohan K. Sunkara, Aaqib Ali, Qizar Ali, Christopher J. Lynch

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Study Design:

Prospective observational pilot study of adult spinal deformity surgery patients.

Objective:

To determine whether preoperative patient sentiment, quantified using a 21-class valence scale extending the CARP paradigm implemented through an offline Large Language Model, predicts postoperative outcomes.

Summary of Background Data:

Predicting adult spinal deformity surgery outcomes remains challenging with traditional clinical and radiographic parameters alone. Although patient psychological factors and expectations significantly influence postoperative satisfaction and quality of life, systematic approaches to capture these factors are underdeveloped. Offline Large Language Models offer scalable, privacy-preserving psychological risk stratification.

Materials and Methods:

We prospectively enrolled 18 patients undergoing adult …

Adaptive Boundary-Aware Fact-Checker Placement For Misinformation Suppression In Social Networks, Mostafa Taghizade Firouzjaee, Ghazal Naderi, Ross Gore, Neda Moghim

School of Cybersecurity Faculty Publications

The spread of fake news on online social networks is driven by imitation-based user behavior and network topology, often leading to persistent misinformation clusters and echo chambers. In this study, we develop a spatial evolutionary game-theoretic framework in which agents update their latent opinions through payoff-biased imitation, while external fact-checkers act as non-imitative intervention nodes. Building on this formulation, we propose an adaptive, boundary-aware intervention mechanism that dynamically regulates both the density and spatial allocation of fact-checkers according to real-time system conditions. Competing information clusters are identified through local neighborhood composition, enabling boundary nodes, i.e., interfaces between fake-news and non-fake-news …

A. Vs. I In Ai: Is There A Threshold To "Engineered" Intelligence?, Joshit Mohanty

Engineering Management & Systems Engineering Faculty Publications

Despite artificial intelligence reshaping the world, its development generates uncertainties regarding future capabilities. AI simultaneously exists as an artifact of engineering design and as autonomous intelligence, creating an observer-participant feedback loop. This paper proposes that embodied AI faces a bandwidth-limited intelligence threshold T_h that it arises from B = min(C_sens,C_Act). However, Shannon capacity measures bits while intelligence operates on concepts, necessitating a dual-channel model separating physical bandwidth B_io from representational capacity B_rep. Intelligence emerges as multi-dimensional rather than scalar, with components exhibiting different bandwidth dependencies. Surpassing T_h requires either new sensing methods expanding B, enhanced representational frameworks, or reconceptualization within …

"Women’S Language" In Supreme Court Oral Arguments, Carolina Nunez, Lucy Williams, David Wingate, Aerin Christensen, Anna Mae Walker

University of Colorado Law Review

No abstract provided.

Assuming Accent: Recognizing The Intersection Of Race And National Origin In Title Vii Discrimination, Eun Hee Han

University of Colorado Law Review

No abstract provided.

Baking In The Disposition: The Wac/Wid World Through Translational Lenses, Joseph Franklin

Publications and Research

In a global perspective for WAC and other writing programs, the singular identifier of the nation still holds a dominance in articles, books, and conference presentations. But, how we understand relationships between different programs on the global writing studies map often demands a more nuanced unpacking than stable nation-markers can offer. Jonathan Hall (2023) calls us to take up “thinking with trans-” in WAC (p. 13). This chapter answers this call first by locating different pieces of global writing program scholarship along a spectrum from those that aim to establish a single, stable identity for a particular (often national) writing …

Infusing Authenticity Into A Service-Learning Program: Examining Long-Term Impacts On Professional Development, Mohan Yang, Jonathan Harbor, Belle Li, Jacqueline Nikiema

Educational Leadership & Workforce Development Faculty Publications

Purpose

The employability of postgraduate students remains a critical concern in higher education, as postgraduate programs, particularly at the doctoral level, traditionally focus on disciplinary and research competencies. This leads to a lack of adequate preparation for employment, especially for non-academic roles. This study examines the long-term impacts of an authentic service-learning program on trainees' professional lives, with a particular emphasis on academia. This addresses the need for insight into the long-term impacts of initiatives that enhance postgraduate programs with opportunities for students to acquire transferable competencies prior to entering employment.

Design/methodology/approach

We adopted a narrative inquiry approach to investigate …

Improving Hpv Vaccine Series Completion Rates Among Adolescents In A Primary Care Clinic, Emily K. Nettle

Doctor of Nursing Practice (DNP) Scholarly Projects

Introduction

Human Papillomavirus (HPV) vaccination prevents HPV related cancers, yet completion rates remain below state (Texas) and national goals. At the selected primary care clinic, 42% of adolescents aged 15-18 years had completed the HPV vaccine series as of October 2025. This quality improvement project aimed to improve HPV vaccine initiation and follow-up dose scheduling through a culturally tailored, multilevel intervention.

Methods

Guided by the Plan-Do-Study-Act framework, an eight-week intervention included bilingual education for adolescents and caregivers, provider education, electronic health record (EHR) prompts, and digital reminders. Baseline data from an eight-week period in 2025 were compared with intervention data …

Lens: Llm-Enabled Narrative Synthesis For Mental Health By Aligning Multimodal Sensing With Language Models, Wenxuan Xu

Dartmouth College Master’s Theses

Multimodal health sensing offers rich behavioral signals for assessing mental health, yet translating these numerical time-series measurements into natural language remains challenging. Current LLMs cannot natively ingest long-duration sensor streams, and paired sensor–text datasets are scarce. To address these challenges, we introduce LENS, a framework that aligns multimodal sensing data with language models to generate clinically grounded mental-health narratives. LENS first constructs a large-scale dataset by transforming Ecological Momentary Assessment (EMA) responses related to depression and anxiety symptoms into natural-language descriptions, yielding over 100,000 sensor–text QA pairs from 258 participants. To enable native time-series integration, we train a patch-level encoder …

Rivera V Triad Properties, Northern District Of Alabama

Historical and Topical Legal Documents

No abstract provided.

Performance And Improvement Strategies For Adapting Generative Large Language Models For Electronic Health Record Applications: A Systematic Review, Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Pengyu Hong, David W Bates, Li Zhou

Faculty, Staff and Students Publications

Purpose: To synthesize performance and improvement strategies for adapting generative LLMs in EHR analyses and applications.

Methods: We followed the PRISMA guidelines to conduct a systematic review of articles from PubMed and Web of Science published between January 1, 2023 and November 9, 2024. Multiple reviewers including biomedical informaticians and a clinician involved in the article reviewing process. Studies were included if they used generative LLMs to analyze real-world EHR data and reported quantitative performance evaluations for an improvement technique. The review identified key clinical applications, summarized performance and the improvement strategies.

Results: Of the 18,735 articles retrieved, 196 met …

Artificial Intelligence: Current Uses In Occupational Therapy Education, Breanna Chycinski, Rebecca Tauber, Brina Crown, Caitlin Noble, Meredith Murphy

Journal of Occupational Therapy Education

Although artificial intelligence (AI) may be an advantageous tool to enhance learning, its societal impacts are still widely unexplored. This study examined how AI is utilized in occupational therapy master’s and doctoral educational programs by faculty and students, while also investigating how such programs are preparing students to employ AI in ethical and beneficial ways. Through the lens of the Person-Environment-Occupation (PEO) Model, this paper examined relationships among occupational therapy students, faculty, their educational environments, and AI. An online survey was distributed to faculty at accredited occupational therapy programs across the United States. Questions included topics such as classroom practices, …

Perceived Impacts Of Confucianism On Placement Experiences Of Hong Kong Pre-Registration Occupational Therapy Students In The United Kingdom, Hin Yuet Li, Sarah Louise Mcginley, Rachel Dadswell, Rachel Houweling

Journal of Occupational Therapy Education

This study explored the views of Hong Kong pre-registration occupational therapy (OT) students in the United Kingdom (UK) about how Chinese culture influenced their practice placement experiences. Students from diverse cultural backgrounds may encounter various challenges during OT placements, but little is known about how OT students from Hong Kong—where Confucianism traditionally shapes workplace expectations and the hierarchical teacher‑student relationship—experience placements in the UK. Two online focus groups to collect qualitative data were conducted in November 2022 with four participants who were UK-based OT students from Hong Kong (N=8 in total), two facilitators (OT students from Hong Kong, based in …

Nbcot First-Time Pass Rates At A Hispanic-Serving Institution: The Role Of Academic Metrics And Primary Language, Timothy Tu

Journal of Occupational Therapy Education

This retrospective study examined academic and demographic predictors of first-time success on the National Board for Certification in Occupational Therapy (NBCOT) exam among graduates (N = 82) from the classes of 2019 through 2022 at a Hispanic-Serving Institution. Despite demographic growth, Hispanic and linguistically diverse practitioners remain underrepresented in the profession. Analyzed variables included self-reported primary language, undergraduate GPA (UGPA), prerequisite GPA (PGPA), Graduate Record Examination (GRE) scores, and Occupational Therapy Knowledge Exam (OTKE) performance. Univariate and multivariate logistic regression analyses were conducted using SPSS 31. Three factors significantly predicted first-time NBCOT pass status: UGPA (p = .010), OTKE scores …

Le Parcours Des Travailleurs Immigrants Blessés Et Son Incidence Sur L’Alliance Thérapeutique : Une Étude De Cas Longitudinale En Contexte De Réadaptation Au Travail Au Québec, Maude Arsenault, Jessica Dubé, Daniel Côté

Études primaires

Cette étude explore l’incidence du parcours prélésionnel des travailleuses et travailleurs immigrants (TI) blessés sur l’alliance thérapeutique (AT) en réadaptation au travail. À partir d’une ethnographie longitudinale menée dans une clinique québécoise, sept trajectoires ont été analysées selon leurs dimensions migratoires, socioprofessionnelles et linguistiques. Les résultats montrent que le déclassement professionnel, la précarité de l’emploi, les barrières linguistiques et les expériences de racisme fragilisent la construction du lien de confiance et la définition partagée des objectifs de retour au travail. Lorsque l’emploi prélésionnel est perçu comme transitoire ou inadéquat, l’obligation institutionnelle d’y retourner crée une rupture symbolique qui entre en …

Fuzzy Logic-Based Driving Style Classification For Lane-Change Prediction In Intelligent Transportation Systems, Muhammed Fatih Koc, Nouman Ashraf, Pramod Pathak, Sachin Sharma

Research Outputs: 2025-Present

In recent years, Intelligent Transportation Systems (ITSs) have emerged as a solution to mitigate the problem of traffic congestion. Understanding human driving styles such as aggressive, normal, and cautious is crucial for safe driving. In particular, predicting lane-change manoeuvres may be further supported by combining vehicle state information with driving style information. However, existing vehicle trajectory datasets lack driving style information, making classification challenging. To address this limitation, this paper proposes a fuzzy logic-based driving style classification framework in a Vehicle-to-Everything (V2X) environment. The model uses vehicle state information, including speed, longitudinal acceleration, lateral acceleration, and distance headway to classify …