Digital Commons Network^™

How Do You Fix Knowledge In Place? Digital Nomads And Infrastructural Stickiness, Emma Grimley, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

Remote work has become increasingly accessible due to the growing acceptance of remote work arrangements following the COVID-19 pandemic. Some state actors, especially in countries which face a shortage of digital talent and have reputations as leisure-tourism destinations, have begun considering the opportunities for digital transformation or workforce upskilling that highly skilled remote workers may offer. This paper develops the case of remote workers in Thailand to argue that infrastructural stickiness is a critical determinant for effective knowledge transfer to occur. By infrastructural stickiness we refer to the regulatory and socio-material infrastructures that both attract and retain international remote workers …

A Systematic Review Of Children’S Digital Funds Of Knowledge In Early Childhood Education And Care: Beginning The Conversation, Jess Hardley, Lennie Barblett, Maria Enriquez-Watt

Research outputs 2022 to 2026

Children's ‘funds of knowledge’ (FK) offer a strengths-based approach to recognising how children contribute to the curriculum. Growing up in a postdigital world, young children's lives are enmeshed with digital technologies. Yet the early childhood education and care (ECEC) sector remains hesitant to embed digital experiences in play and learning. While the concept of ‘digital fund of knowledge’ (DFK) has been explored in primary and secondary education, it remains underexamined in ECEC. This systematic review of four databases identified seven studies spanning Europe, Australia, the USA, Malta, Sweden and Finland. These highlight challenges including limited educators' understandings of children's DFK, …

Trust-Aware Algorithms For Stackelberg Ground Vehicle Routing, Doris Evelyn Meredith Brown

Doctoral Dissertations

Despite decades of research focused on reducing ground vehicle traffic congestion, urban traffic networks worldwide continue to experience traffic flows that lead to increased network travel times, largely resulting from the routing decisions of individual vehicles. To address this challenge, this work leverages a Stackelberg game framework to model the interaction between a vehicle agent and a routing authority as a leader–follower game, in which the routing authority proposes routing interventions to which the agent responds. This research contributes to existing traffic mitigation literature by exploring the role of trust in route decision-making and providing trust-aware algorithms that influence vehicle …

International Law And The Defense Of Political Prisoners And Prisoners Of Conscience, Judith Abitan

Fordham International Law Journal

The international community continues to witness a concerning trend of political repression and unjust incarceration of dissidents, including political opposition members, activists, intellectuals, academics, journalists, and human rights defenders. From authoritarian regimes to democratic nations, the suppression of dissenting voices has become prevalent. As fundamental rights and freedoms are increasingly violated, the strengthening and enforcement of international legal frameworks become even more essential to sustain the rules-based international order. Against the backdrop of geopolitical tensions, shifting power dynamics, and evolving interpretations of sovereignty, the examination of international legal instruments and mechanisms becomes not only a matter of scholarly inquiry but …

Due Diligence In Global Supply Chains: The Troubled Journey Of The Eu Legislation And The Global Perspective, Fabrizio Cafaggi, Federico Pistelli

Fordham International Law Journal

No abstract provided.

The Wto Is Dead, Long Live The Wto: The Lingering Interpretive Problem Of Article 27.1 Of The Trips Agreement, Faisal Chaudhry

Fordham International Law Journal

No abstract provided.

Allies As Collateral: U.S. Economic Warfare And The Erosion Of Allied Autonomy, Julien Chaisse

Fordham International Law Journal

No abstract provided.

A Council Of Europe Tribunal To Prosecute Putin For The Crime Of Aggression In Ukraine, Erin A. Kenny

Fordham International Law Journal

No abstract provided.

Encryption And Globalization 15 Years Later: End-To-End Encryption And The Third Round Of The "Going Dark" Debate, Peter Swire, Kenesa Ahmad, Michael Specter

Fordham International Law Journal

No abstract provided.

Considering Humanity: How The Martens Clause Implies A Legal Obligation To Conduct Risk Analysis In Decisions Regarding The Actual Or Threatened Use Of Nuclear Weapons, Emily Jones

Fordham International Law Journal

No abstract provided.

Inadequate Control: International Law And Principles Applicable To Address Nuclear Weapon Security, Chloe Scaglione Radtke

Fordham International Law Journal

No abstract provided.

Ex Ante, Ex Post, Or A Combo Of Both? A Comparative Analysis Of Biometric Artificial Intelligence Across The Atlantic & The Self-Regulatory Solution, Ariana Tagavi

Fordham International Law Journal

No abstract provided.

Solving High-Dimensional Differential Equations Using Recurrent And Residual Neural Network Architectures, Hind Khaled Kolaib

Knowledge Engineering and Data Science

High-dimensional Partial Differential Equations (PDEs) form the foundation of complex process modeling in various scientific and engineering applications, including finance, physics, and optimal control. However, classical numerical methods are adversely affected by the curse of dimensionality, making them inapplicable for large-scale problems. Recently, however, deep learning-based approaches have provided a new toolbox for these high-dimensional PDEs, including methods such as the Deep Backward Stochastic Differential Equation (Deep BSDE) method. Our approach draws on a more sophisticated deep learning backbone, using neural networks (in our case, a Residual Neural Network and a Long Short-Term Memory network (LSTM) integrated into the Deep …

Legal Semiotics, Political Ontology, & Merging Chronotopes Of Identity Through The Federation Of Aboriginal Nations Of The Americas, Kevin T. Inglesby

Graduate Student Theses, Dissertations, & Professional Papers

This dissertation studies the concept of self-determination related to a confederation known as the Federation of Aboriginal Nations of the Americas. It addresses three main questions: How does FANA represent an institution of legal cooperation? In what ways does cultural capital become reproduced? And what are key principles for the Federations’ code of unity? Self-determination is a core principle of international law and may be identified through treaties and social conventions like Wunnandry. The study explores an interdisciplinary approach to American Indian selfdetermination through a focus on applied anthropology, cultural heritage, and Peircean legal semiotics to problematize some historical approaches …

Relevance Between Strict Liability Theory And Banking Crimes In The Transfer Of Customer Funds: Negligence And Intent, Astrid Athina Indradewi, Evi Kongres, Ananda Chrisna D. Panjaitan, Evelyn Hutami Gunawarman

Research Collection Yong Pung How School Of Law

This article discusses the relevance of the Strict Liability theory to banking crimes in the transfer of customer funds involving elements of negligence as well as intent committed by bank managers. Strict liability places responsibility on the perpetrator without the need to prove fault, but rather by establishing a causal relationship between the act and the harm. In the context of civil law, Articles 1365 and 1367 of the Indonesian Civil Code recognize a form of liability resembling this concept through the mechanism of vicarious liability, whereby the bank as employer may be held liable for the unlawful acts of …

Stop-Falling A Checklist Tool For Fall Prevention In A Long-Term Care Nursing Facility, Latoya Shirley

Doctor of Nursing Practice (DNP) Practice Innovation Projects

Background: Falls are common among the elderly population. Falls affect not only residents but also staff in long-term care facilities (LTCFs). Approximately one in three individuals aged 65 years or older will have a fall within a year. As the population ages, the incidence of falls continues to rise globally. Falls, overall, have a significant and widespread impact on the overall health and wellbeing of individuals, leading to increased hospitalizations, rehabilitation, reduced quality of life, and increased mortality. 
Evidence Summary: Multifactorial fall prevention programs have proven to be effective in reducing falls when implemented in various settings, such as clinics, …

Industrial And Organizational Psychology Researchers’ Positive And Negative Experiences With The Peer-Review Process, Alexa Weaver

Honors Undergraduate Theses

Peer review plays a critical role in advancing the field of psychology; however, limited empirical research has examined psychologists’ experiences with the peer review process. The present study investigated both positive and negative peer review experiences among industrial and organizational (I/O) psychologists and assessed the prevalence of specific reviewer behaviors. A two-phase survey design was administered via Qualtrics. Study 1 employed open-ended questions to identify recurring themes in researchers’ experiences with peer review. Thematic analysis revealed distinct positive and negative patterns of reviewer behavior, which informed the development of Study 2.

Study 2 quantitatively assessed the prevalence of behaviors associated …

Anxiously Ever After: The Fear Of Choosing The Wrong Person Among Individuals With Relationship Obsessive-Compulsive Disorder, Liv Fante

PCOM Psychology Dissertations

Obsessive-compulsive disorder (OCD) is a distressing condition in which individuals experience recurrent intrusive and unwanted thoughts (i.e., obsessions), engage in repetitive behaviors (i.e., compulsions), or both. A relatively underexplored presentation of OCD involves obsessions and compulsions centered on romantic relationships, referred to as relationship OCD (ROCD). Although OCD has been extensively studied, research specific to ROCD remains limited. Disordered eating behaviors, retroactive jealousy, social media use, social comparison, and relationship history may be associated with the development and maintenance of ROCD. The current study examined these variables as predictors of two forms of ROCD: relationship-centered and partner-focused symptoms. Gender differences …

Dental Professionalism In A Changing World: Challenges & Opportunities, Robert P. Iovino, Dds, Ma Dds, Ma

Journal of the American College of Dentists

This manuscript examines the erosion of traditional dental professionalism amid rising educational costs, declining membership in professional associations, and the growing influence of corporate ownership and private equity in dentistry. Drawing perspectives from economics, sociology, philosophy, law, and ethics, it traces the historical development of professional licensure and its role in safeguarding clinical autonomy, ethical integrity, and public trust. The analysis highlights how deregulation and profit-driven practice models challenge the profession’s social contract. The manuscript argues that preserving strong civic institutions, restrictive licensure standards, and humanities-informed education is essential to sustaining dentistry as a learned profession rather than a commodified …

From The Archives: Continued Competency Assessment: Its History And Role In The Health Professions

Journal of the American College of Dentists

Each issue of the Journal of the American College of Dentists (JACD) features an archival article selected for its continued relevance to contemporary issues in dentistry. This article provides historical context and enduring insights that inform current discussions in the profession.

J Am Coll Dent 2026 92 4

Journal of the American College of Dentists

The Journal of the American College of Dentists (JACD) publishes scholarly articles, editorials, essays, and reflections addressing the ethical, professional, and social dimensions of dentistry. The Journal serves as a forum for advancing ethics, professionalism, leadership, and excellence within the dental community. By fostering dialogue across disciplines and perspectives, JACD provides readers with insights that encourage ethical, professional practice, lifelong learning, and service to the public, reinforcing dentistry’s commitment to advancing oral healthcare and the common good.

A Multiscale Computational Framework Bridging Molecular Dyanmics, Phase-Field, And Elasto–Viscoplstic Fast Fourier Transform: Applications To Process–Structure–Property Relationships In Metallic Materials, Chaimae Jouhari

Electronic Theses and Dissertations

Metallic materials exhibit process–structure–property relationships that arise from physical mechanisms operating across multiple length and time scales. Atomistic processes control diffusion, thermal response, and interfacial behavior; mesoscale mechanisms govern grain morphology, interface migration, and microstructure evolution; full-field crystal-plasticity calculations resolve heterogeneous mechanical fields; and continuum-scale finite-element (FE) models connect material response to component-level deformation, damage, and performance. Because no single simulation method can resolve all of these mechanisms, predictive modeling requires a framework in which information obtained at one scale can be transferred to the next. This dissertation develops a multiscale computational framework that bridges molecular dynamics (MD), phase-field (PF) …

Securing Smart Agriculture With Communication-Efficient Federated Unlearning, Ujjwal Pudasaini

Electronic Theses and Dissertations

This thesis addresses the data poisoning attack in smart agricultural systems using federated unlearning, where the contribution of compromised field devices must be removed from the global model under communication constraints. We propose FedSCAN, a three-phase framework that identifies critical layers based on parameter sensitivity, classifies active neurons within these layers through relative weight change analysis, and performs unlearning via sparse low-rank adaptation to active neurons while freezing base model parameters. FedSCAN limits computational overhead to a compact parameter subset, enabling devices to participate in a communication-efficient manner. Experimental results on four datasets demonstrate that FedSCAN achieves up to 426.3× …

Production Of Fungal Biomass And Crude Chitin From Cheese Whey: Effects Of Whey Type And Lactose Hydrolysis On Aspergillus Niger And Trichoderma Reesei, Anye Catharine Nora Drum

Electronic Theses and Dissertations

Chitin is a biodegradable and biocompatible biopolymer with broad applications in the food, biomedical, pharmaceutical, and packaging industries. Conventional chitin production from crustacean shells is associated with seasonal availability, intensive chemical processing, and environmental concerns, creating interest in more sustainable alternatives. Filamentous fungi represent a promising source of chitin because of their rapid growth and ability to utilize low cost agro-industrial residues. This study evaluated the feasibility of producing fungal biomass and crude chitin from cheese whey through submerged fermentation while investigating the effects of whey type and enzymatic lactose hydrolysis on fungal growth, substrate utilization, and wastewater remediation. Aspergillus …

Primary Avian Tracheal Cell Models For The Isolation Of Emerging Avian Metapneumovirus Strains, Tricia Serrao

Electronic Theses and Dissertations

The emergence of avian metapneumovirus (aMPV) subgroups A and B in the United States poultry industry has created an urgent need for standardized, host-specific diagnostic platforms. Historically, reliance on continuous, multi-species cell lines has limited the primary isolation of field strains and introduced potential adaptation artifacts. To address these challenges, this research first established and characterized a reproducible primary cell culture system derived from the tracheal tissues of 1-day-old turkey poults. This system was maintained in an optimized DMEM/F-12 formulation supplemented with 5% FBS, EGF, and ITS, with early-passage cultures achieving 90% confluence within 24 to 48 hours. Morphological and …

Enzyme Susceptibility And Functionality Of High Protein Retentates And Reconstituted Ingredients, Khushi Dubey

Electronic Theses and Dissertations

This thesis explores the effects of processing history on the enzymatic susceptibility and functional properties of high-protein dairy ingredients, with a specific focus on ultrafiltered (UF) and microfiltered (MF) retentates and spray-dried powders. While retentates and powders are often used interchangeably in industrial applications, processing steps, such as drying, can induce structural and physicochemical changes that affect protein functionality and enzyme accessibility. Milk protein concentrates (MPC) and micellar casein concentrates (MCC) were standardized to 10% protein and subjected to enzymatic treatments, including proteolysis (Alcalase and rennet) and crosslinking (transglutaminase and laccase). Structural modifications were evaluated using capillary gel electrophoresis, non-protein …

Detecting And Characterizing Latent Subpopulations Of Classes Via Mixture Models, Andrew Simpson

Electronic Theses and Dissertations

A class of problems in statistical pattern recognition exists in which there is high-dimensional data with few realizations per class, commonly referred to as few-shot learning. Data that arises in forensic source identification, which deals with providing a probabilistic value of evidence with regard to the source of some object, falls into this class of problems. Namely, the data is sampled from a hierarchical sampling process, lives in a high-dimensional space, the number of sources (or classes) tends towards infinity, and there are few observations per source. This can be thought of as a few-shot learning problem. Because of these …

Evaluating The Potential Of Genomic Selection For Grain Yield And Yield Component Traits In South Dakota Winter Wheat, Dante Koupal

Electronic Theses and Dissertations

Wheat (Triticum aestivum L.) is a major cereal crop worldwide, but recent gains in grain yield (GY) have not kept pace with projected demand. GY is a highly quantitative trait with low heritability that requires multi-year, multi-location phenotyping, limiting selection efficiency. Targeting higher heritability yield component traits, such as kernel size and weight, and incorporating them into the genomic selection (GS) pipeline has the potential to accelerate genetic gain for GY. The objectives of this study were to (i) understand the relationship between GY and the kernel-size traits, including thousand kernel weight (TKW), kernel length (KL), kernel width (KW), and …

Fast And Sustainable Video Anomaly Detection With Continual Learning, Preethi Amasa

Electronic Theses and Dissertations

Real-time video anomaly detection systems deployed in surveillance, healthcare, and industrial environments face continuous distribution shifts in lighting, viewpoint, and activity patterns. Existing models often experience performance degradation under these conditions and may suffer catastrophic forgetting when adapting to new environments. This thesis proposes RegiGrow, a parameter-efficient continual adaptation framework built on the Flashback retrieval pipeline. RegiGrow integrates Mixture-of-Experts Low-Rank Adaptation into a frozen ImageBind encoder, enabling sequential domain adaptation without modifying the pretrained backbone. A lightweight router maps visual regime features to a distribution over LoRA experts, each specializing in a distinct normal operating regime. The central contribution is …

Bridging Language And Game Worlds: Semantic Representations And Text-Driven Terrain Generation For Procedural Content, Zhongyu Xie

Electronic Theses and Dissertations

Procedural Content Generation (PCG) systems produce vast quantities of game levels, terrain, and environments, but lack semantic interfaces: no shared vocabulary exists between natural language, designer intent, and the structured representations generators operate on. This thesis addresses the language-content grounding gap in PCG through two complementary studies spanning semantic analysis and semantic synthesis. The first study introduces a group-supervised contrastive learning framework for semantic representation of symbolic PCG maps under many-to-one semantics, where visually distinct maps may share the same design intent. The framework combines parameter-guided semantic grouping, LLM-based caption augmentation, and a multi-positive contrastive objective that aligns language with …