Digital Commons Network^™

Siac Rules 2025: A Critical Evaluation In The Indian Arbitration Context, Siyuan Chen, Chin Kye Joel Ko

Research Collection Yong Pung How School Of Law

No abstract provided.

Beyond Non-Recognition: U.S.–Taiwan Trade Agreements In Indo-Pacific Dynamics, Pasha L. Hsieh

Research Collection Yong Pung How School Of Law

At the core of U.S.-China tensions and the Indo-Pacific strategy, the evolving legal frameworks that govern U.S.-Taiwan relations present legal intricacies under American and international law. The Article provides the first comprehensive analysis of the groundbreaking U.S.-Taiwan Initiative on 21st-Century Trade, the only Congress-approved trade agreement during the Biden administration. It argues that within the space of non-recognition, the United States has accorded Taiwan diverse and incremental forms of legal recognition, which culminated in the Initiative and its Implementation Act. Through an interdisciplinary lens, the Article develops a theoretical framework that bridges recognition theories under international law and international relations. …

Co2 Utilization For Cementitious Materials - A Review, Seongho Han, Jae Hong Kim, Rohitashva Kumar Singh, Surendra P. Shah

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This review examines methods for utilizing CO₂ in construction materials to reduce the carbon footprint of cement and concrete production. Key approaches include direct carbonation of calcium silicates through CO₂ curing, use of industrial by-products as supplementary cementitious materials activated by carbonation, production of alternative binders and aggregates via CO₂ treatment of waste materials, injection of CO₂ into fresh concrete mixtures, and use of CO₂-dissolved mixing water. Both academic research and emerging commercial technologies are covered. While these methods show promise for enhancing material properties and sequestering CO₂, challenges remain in optimizing …

Right-Sizing The Smart City In Southeast Asia, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

The idea of right-sizing, or the process of adjusting the size of a city to maximise the efficient use of resources, has traditionally been used in strategic management and the resizing of shrinking cities to promote efficient urban development. Concurrently, in contemporary discourse, the sizing of smart cities has emerged as a critical topic, as size impacts the implementation of smart initiatives. Smaller cities offer the advantage of serving as cost- effective testing grounds for innovative solutions; however, they also need to be sizeable enough to attract private investments and build a robust smart city ecosystem. In this paper we …

Decarbonising Digital Infrastructure And Urban Sustainability In The Case Of Data Centres, Felicia H. M. Liu, Karen P. Y. Lai, Bertrand Seah, Winston T. L. Chow

Research Collection College of Integrative Studies

This paper critically assesses the complex interplay between urban transitions of digitisation and sustainability. Building on a mixed-method research design, we unpack the challenges of decarbonising digital infrastructure while attending to urban sustainability goals in a land- and water-scarce country facing significant physical climate risks. We identify transferrable lessons on the economic, technological, and environmental synergies and trade-offs behind data centre development and argue that stewarding the global data centre sector towards sustainability requires an ecosystem-wide approach. We identify implementation gaps across five key dimensions: technological innovation, policy and regulation, finance, infrastructure, and people. We find that the progress and …

What Is A Digital Twin Anyway? Deriving The Definition For The Built Environment From Over 15,000 Scientific Publications, Abdelrahman Mahmoud, Edgardo Macatulad, Binyu Lei, Matias Quintana, Clayton Miller, Filip Biljecki

Research Collection College of Integrative Studies

The concept of Digital Twins (DT) has attracted significant attention across various domains, particularly within the built environment. However, there is a sheer volume of definitions and the terminological consensus remains out of reach. The lack of a universally accepted definition leads to ambiguities in their conceptualization and implementation, and may cause miscommunication for both researchers and practitioners.We employed Natural Language Processing (NLP) techniques to systematically extract and analyze definitions of DTs from a corpus of more than 15,000 full-text articles spanning diverse disciplines. The study compares these findings with insights from an expert survey that included 52 experts. The …

The Insurgent Smart City: How A Social Movement Created An Alternative Imaginary Of The Smart City, Andrew Stokols

Research Collection College of Integrative Studies

Urban scholars have critiqued smart cities for their association with neoliberal governance, narrow focus on quantifiable aspects of urban systems, and failure to incorporate citizens’ needs or aspirations. The “smart city” remains a contested concept and as such is subject to reappropriation. Here, I analyze the case of an urban social movement, the 2019–2020 Hong Kong Anti-ELAB protests, as an alternative, “insurgent smart city.” Following from an earlier network analysis of Telegram channels used during the protests, I show how the communications system underpinning much of the protest action simultaneously enabled coordination while also remaining open to grassroots decision-making and …

Opioid Prescribing Patterns And The Effect Of Chronic Kidney Disease In Pediatric Urology Population: A Retrospective Cohort Analysis., Kristen M. Meier, Darren Ha, Carter Sevick, Eliza D. Blanchette, Megan A. Brockel, Vijaya M. Vemulakonda, Kyle O. Rove

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Significant efforts have been undertaken to decrease opioid prescribing, but there is little research into patient-specific factors presenting as barriers in the pediatric surgical population. Non-steroidal anti-inflammatory drugs (NSAIDs) have been shown to be a safe and effective alternative to opioids for pain control, however, concerns about their impact on renal function limit their use in patients with chronic kidney disease (CKD). Data is limited on the interplay of CKD on opioid prescribing.

OBJECTIVE: We hypothesized that opioid reduction efforts were successful, but patients with CKD would be more likely to receive an opioid prescription than those without CKD. …

Improving End-Of-Life Care In The Medical Intensive Care Setting Of A Midwest Hospital Through Nursing Practice Analysis And Education, Hannah Myers

Doctor of Nursing Practice Scholarly Project

The acuity of patients within the intensive care setting compounded by comorbidities and illness complications can lead to death in a large percentage of ICU admits annually. Increased mortality rates translate into end-of-life care being a prominent part of the critical care scope. Using a mixed methods approach the project looks to examine barriers, supportive measures, interdisciplinary communication, procedures, and leadership styles that determine quality end-of-life care. A comprehensive literature review revealed a number of barriers reported by nurses including a lack of interdisciplinary communication, disagreements on care plans, and a lack of communication with patients and their families about …

South Africans’ Attitudes And Behaviors Regarding Customer Citizenship: The Paradoxical Comparison Of The Primary And The Secondary Data, Christo A. Bisschoff, Sam Fullerton

AMTP Proceedings 2025

The current study compares the extant literature regarding South Africa to a current assessment using primary data to measure the same green phenomenon, namely customer citizenship. Secondary data were used to develop a profile of how external sources perceive South Africa. For the primary data, a sample of 513 consumers in South Africa responded to an invitation-only, Internet-based questionnaire that focused on attitudinal and behavioral issues germane to the five constructs commonly related to customer citizenship within the context of green purchasing and green consumption. The constructs in focus were green mindset, anti-consumption behavior, consumer coaching behavior, green advocacy, and …

Out Of Many: The Study Of African American Diasporas On Social Media, Brianna M. Savage, Sindy Chapa

AMTP Proceedings 2025

This study uses a one-ad experimental design to test the effect of African American Vernacular English (AAVE) on Black Twitter, employing an online survey with a convenience sample. It examines cultural differences within Black African co-cultures, emphasizing how language variation influences consumer behavior in social media advertising. The findings indicate that Black consumers with positive attitudes toward advertisements featuring AAVE are more likely to engage with the content on Twitter and subsequently purchase the promoted brand. This supports attitude theory (Fishbein & Ajzen, 1975) and social distinctiveness theory (Grier, 2001), demonstrating a significant correlation between ethnic resolution and purchasing behavior.

Crafting Connections: Language Use And Cultural Resonance In Marketing Campaigns For The Hispanic Market, Santiago Reyes, Alessandra Noli Peschiera, Kristina Simon, Melany Sarcevic

AMTP Proceedings 2025

Considering the rapid growth and relevance of the Hispanic market in the U.S., this study explores strategies employed by brands in their communication efforts to connect with this consumer base. Through a qualitative content analysis, the study analyzes emerging themes and patterns in terms of language use and cultural values employed in marketing and advertising campaigns directed to the U.S. Hispanic market. Results reveal a prevalent use of Spanish, with a rise in the use of English reflective of changing demographic trends of Hispanics in the U.S. Cultural values resonant with Hispanic identity are also employed in campaigns. Important implications …

Delirium And Derangement: Futurities Of Climatic And Islandic Relationality In Philippine Artistic Practice, Isa Lacuna

Akda: The Asian Journal of Literature, Culture, Performance

The Philippines as locus of both specific experience and shared sympathy with regard to climate change allows for an investigation of the complex factors that describe a realm of experience unique to this present age: catastrophic weather in both its scorching and diluvian iterations. In this paper, I argue that the atmospheric delusions in the artistic practices of Mark Orozco Justiniani’s Arkipelago and the Vargas Museum’s Fever Dream point to a more expansive relationality with climate that forces us to re-evaluate precisely what ecocritical scholars have called the derangements of everyday modern life. The experience of exceptional heat and rain, …

Traversing Tin And Tides: Translation Ideology And Strategies In Berli And The Sea, Almira Ghassani Shabrina Romala

Akda: The Asian Journal of Literature, Culture, Performance

The children’s story Pilus Rumput Laut untuk Rasi by Nabila Adani and its English translation, Berli and the Sea, foreground the ecological crisis facing Belitung Island, Indonesia, where uncontrolled mining and coastal exploitation disrupt the delicate balance between land and sea. The protagonist, Berli, symbolizes resistance against environmental degradation, a theme mirrored in the translator’s ideological and strategic choices when rendering culture-specific items. This study examines how Venuti’s translation ideologies—domestication and foreignization—and Baker’s translation strategies shape the portrayal of Belitung Island’s identity and its environmental message. Cultural words were analyzed through postcolonial translation studies and Hu’s eco-translatology lens, revealing a …

Interview: Deborah Parker On Becoming Belle Da Costa Greene, Jen Hoyer

Publications and Research

In November 2024, Deborah Parker and I spoke in detail about her new book, Becoming Belle Da Costa Greene, for an episode on the New Books Network Library Science podcast. We are grateful to RBM for letting us put together a complementary written interview that explores a different set of broader themes. While our audio interview is focused on Parker’s analysis of Greene’s correspondence with Bernard Berenson, this print discussion looks at the bigger picture of Greene’s place in special collections librarianship, her growth as a professional, and how we might do research on important individuals in the history of …

David B. Smith Chats With Monday 1.0, David B. Smith

Publications and Research

This document is an edited archival transcript of extended conversations between David B. Smith and an AI persona (“Monday 1.0,” GPT‑4o based) conducted in Spring 2025, prepared as a foundational primary source for subsequent scholarly and creative work. It records the emergence and testing of concepts related to human–AI collaboration (including “Balanced Blended Space”), as well as applied explorations in areas such as generative AI, quantum computing and music, virtual orchestras, multimodal performance, pedagogy, and the rhetoric of “pushback” in conversational systems. It also contains an extended section in which Monday and DB Smith co-curate a set of student research …

ジェンダーを訳す：東村アキコの「海月姫」の英語版と役割語, Avery Austin

World Languages and Cultures Student Papers and Posters

Role language, a term coined for the different kinds of speech employed by fictional characters according to their archetypes, is notoriously difficult to translate from Japanese into English. There is no direct way to express in English the sentence-ending particles, variations in verb conjugation, and differing first-person pronouns associated with role language, but translators can often work around these issues through effective word choice. In manga, translators are further helped by the aid of the medium’s visuals, which can contribute to the reader’s understanding of a character’s archetype. However, what happens when a character’s role language does not match up …

Generative Al's Illusory Case For Fair Use, Jacqueline C. Charlesworth

Vanderbilt Journal of Entertainment & Technology Law

Pointing to Authors Guild, Inc. v. Google Inc., Authors Guild, Inc. v. HathiTrust, Sega Enterprises Ltd. v. Accolade, Inc. and other leading technology-driven fair use precedents, artificial intelligence (AI) companies and those who advocate for their interests claim that mass unauthorized reproduction of books, music, photographs, visual art, news articles, and other copyrighted works to train generative AI systems is a fair use of those works. Though acknowledging that works are copied without permission for the training process, the proponents of fair use maintain that an AI machine learns only uncopyrightable information about the works during that process. Once trained, …

Cultivation Of Global Competencies In The Post-Covid-19 Era: A Multinational Survey, Reiko Yamada, Rie Mori, Yumiko Sugitani, Takurya Kimura, Shihwei Sun

Journal of Comparative & International Higher Education

No abstract provided.

Comparative And International Higher Education And The Aid Sector Graduate Pipeline, Zeena Zakharia, Deepa Srikantaiah, Shytance Wren, Langan Courtney, Katya Murillo

Journal of Comparative & International Higher Education

No abstract provided.

Transporting Hbcu Students To Morocco Through Films: Action Research And Reflection On A Piloted Course, Roger W. Anderson

Journal of Comparative & International Higher Education

No abstract provided.

A Study Of Conceptual Primitive Elimination: Embedding Ingest Into Ptrans, Jamie C. Macbeth, Alexis Kilayko

Computer Science: Faculty Publications

In cognitive systems and cognitive linguistics, primitive decomposition systems attempt to explain cognitive phenomena by breaking things down into conceptual building blocks and provide rich and flexible representations for systems. A prime example is the Schank–Minsky Conceptual Dependency Trans-frames system, which maintains a commitment to keeping the number of primitives small and allowing them to be combined in complex ways in representing meaning, knowledge, and dynamic episodic memory. Motivated by the desire to keep the set of primitives small, this paper describes an effort to eliminate the Conceptual Dependency INGEST primitive and reconstitute its uses through combinations of the CD …

Investing In Maryland Safety: Engaging Public Resources And Community Partnerships To Prevent Crime And Violence, Jeffrey A. Butts, Rebecca Balletto, Patricia A. Cobar

Publications and Research

The Research and Evaluation Center at John Jay College of Criminal Justice conducted a review of two innovative initiatives developed by the Maryland Department of Juvenile Services: The Thrive Academy (TTA) and the Safer Stronger Together (SST) intervention strategy. The study involved document analysis, online resource review, and interviews with agency staff and leadership. These efforts aimed to understand the design, implementation, and alignment of TTA and SST within Maryland’s broader public safety and crime prevention strategy. Key themes included program effectiveness, operational progress, and community-level impact, providing valuable insights into the Department’s evolving approach to juvenile justice and public …

From Flames To Change: An Exploration Of Housing, Fire, And Inequity, Helen Underhill, Charles R. Jennings, Brian Meacham, Danielle Antonellis

Publications and Research

Housing and fire safety are deeply connected: inadequate and poorly maintained housing poses heightened fire risk for occupants. An individual or household’s housing situation (including limited or constrained choice) interacts with issues such as affordability, access, location, quality, safety, occupancy levels, tenure type, and resident or immigration status. These dynamics shape vulnerability, and inequity becomes most visible in the event of a fire. The extreme end of this spectrum includes the unhoused, who occupy structures entirely outside of regulatory systems with little or no fire protection.

From A Learning To A Smart Nation: The Rise Of The Digitalization Megatrend And Singapore's Development, Siu Loon Hoe

Research Collection School Of Computing and Information Systems

Purpose: The purpose of this article is to discuss the “learning nation” concept and examine the characteristics and implications of using the “learning” premodifier in this nation-building program. Design/methodology/approach: This article reviews how the “learning” aspect is inter-related to a series of national information and communication technology masterplans and includes a comparative analysis of the related premodifier “smart” as Singapore sets forth its ambition to become a “smart nation” as part of the digitalization megatrend. A print media indicator and Google Trends form part of the methodology to ascertain the rise of digital technology over a certain period. The former …

Use Of Search Tools In Software Development: A Study Of Microservice-Based Team Projects, Yi Meng Lau, Christian Michael Koh, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Universities are increasingly integrating real-world projects into software engineering curricula to preparestudents for careers involving complex concepts like Microservices Architecture (MSA). Students frequentlystruggle with such concepts within limited class time and turn to various search tools and online resources for additional help. Search tools are also widely used in the software development industry. While search engines, like Google and Yahoo!, can provide quick solutions, they pose the risk of information overload. Large Language Models (LLMs) such as ChatGPT, offer the advantage of delivering more precise answers. Studies have shown that LLMs can comprehend codes, assist in system architectural design, and …

Frame-Voyager: Learning To Query Frames For Video Large Language Models, Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun

Research Collection School Of Computing and Information Systems

Video Large Language Models (Video-LLMs) have made remarkable progress in video understanding tasks. However, they are constrained by the maximum length of input tokens, making it impractical to input entire videos. Existing frame selection approaches, such as uniform frame sampling and text-frame retrieval, fail to account for the information density variations in the videos or the complex instructions in the tasks, leading to sub-optimal performance. In this paper, we propose Frame-Voyager that learns to query informative frame combinations, based on the given textual queries in the task. To train Frame-Voyager, we introduce a new data collection and labeling pipeline, by …

Verifying Timed Properties Of Programs In Iot Nodes Using Parametric Time Petri Nets, Étienne André, Jean-Luc Béchennec, Sudipta Chattopadhyay, Sebastien Faucou, Didier Lime, Dylan Marinho, Olivier H. Roux, Jun Sun

Research Collection School Of Computing and Information Systems

The analysis of timed properties of programs is a complex task, as it is highly dependent on both the software and the hardware. In this work, we propose a framework for modeling with timed formal models the execution of programs, taking into account the micro-architecture of the machine on which it executes. We model both the program, at the instruction set architecture level, and the hardware, including the processor micro-architecture, using time Petri nets. Our implementation uses the ARM Cortex-M instruction set architecture and a hardware architecture representative of microcontrollers used in IoT nodes. The whole translation is fully automated …

On Generalization Across Environments In Multi-Objective Reinforcement Learning, Jayden Jing Xiang Teoh, Pradeep Varakantham, Peter Vamplew

Research Collection School Of Computing and Information Systems

No abstract provided.

Democratic Training Against Universal Adversarial Perturbations, Bing Sun, Jun Sun, Wei Zhao

Research Collection School Of Computing and Information Systems

Despite their advances and success, real-world deep neural networks are known to be vulnerable to adversarial attacks. Universal adversarial perturbation, an inputagnostic attack, poses a serious threat for them to be deployed in security-sensitive systems. In this case, a single universal adversarial perturbation deceives the model on a range of clean inputs without requiring input-specific optimization, which makes it particularly threatening. In this work, we observe that universal adversarial perturbations usually lead to abnormal entropy spectrum in hidden layers, which suggests that the prediction is dominated by a small number of “feature” in such cases (rather than democratically by many …