Digital Commons Network^™

Dollar Challenger? Cbdcs, Complexities, And Monetary Hegemony, Heng Wang

Research Collection Yong Pung How School Of Law

Digitalization is transforming the architecture of the international monetary system, reshaping how currencies function and financial infrastructures evolve. Among the significant developments are central bank digital currencies (CBDCs)—new digital forms of national currencies. While CBDCs promise benefits such as efficiency, they also generate relational, technological, legal, and governance complexities that would profoundly affect the global financial landscape. Against this backdrop, a compelling question arises: will CBDCs, particularly cross-border CBDCs, challenge U.S. dollar dominance?

To address this, this Article adopts a forward-looking approach to examine three interrelated crucial questions: what makes CBDCs complex? What governance complexity is likely to arise? Will …

‘Salami Slicing’ And Issue Estoppel: Foreign Decisions On The Governing Law, Adeline Chong

Research Collection Yong Pung How School Of Law

Whether an issue estoppel arises over foreign decisions on the governing law of the claim has not been directly considered by an English court, but decisions in other jurisdictions show that this question is increasingly being raised in litigation. Is there identity of issue if the two courts apply different choice of law rules? The answer turns on whether a broad or narrow framing of the issue is adopted. It is suggested that, absent an issue which is subject to forum international public policy, forum overriding mandatory rules or which is one that the forum court retains the prerogative to …

Hiding An Ear In Plain Sight: On The Practicality And Implications Of Acoustic Eavesdropping With Telecom Fiber Optic Cables, Youqian Zhang, Zheng Fang, Huan Wu, Sze Yiu Chau, Chao Lu, Xiapu Luo

Department of Construction, Environment and Engineering

Optical fibers are widely regarded as reliable communication channels due to their resistance to external interference and low signal loss. This paper demonstrates a critical side channel within telecommunication optical fiber that allows for acoustic eavesdropping. By exploiting the sensitivity of optical f ibers to acoustic vibrations, attackers can remotely monitor sound-induced deformations in the fiber structure and further recover information from the original sound waves. This issue becomes particularly concerning with the proliferation of Fiber-to-the-Home (FTTH) installations in modern buildings. Attackers with access to one end of an optical fiber can use commercially available Distributed Acoustic Sensing (DAS) systems …

A Comparative Case Study Of Esg Integration Strategies In Hong Kong Region Using The Cepar Methodology, Xiaoying Lu, Xiaofang Liu, Chi Him, Alpha Tsang, Juan Zhang, Yuxi Chen

Department of Construction, Environment and Engineering

This study adopts the five-stage CEPAR (Challenge, Evaluation, Planning, Action, Review) methodology to conduct a comparative case analysis of ESG integration strategies across five key sectors (Real Estate, Financial Services, Technology, Logistics, and Retail) in Hong Kong region, based on simulated data of 15 enterprises. It explores sectoral differences in ESG implementation maturity, operational practices, developmental barriers, and alignment with the United Nations Sustainable Development Goals. The results reveal significant cross-sector maturity disparities: Financial Services ranks the highest (84.4/100) with robust evaluation and review mechanisms, followed by Technology (82.0), Retail (77.4), and Real Estate (73.2), while Logistics scores the lowest …

Optical Fiber Identification Via 2-D Rayleigh Backscattering Fingerprints, Huan Wu, Fang Zheng, Youqian Zhang, Chao Lu

Department of Construction, Environment and Engineering

We propose an image-assisted optical fiber identification method that exploits the unclonable Rayleigh backscattering signatures measured by optical frequency-domain reflectometry (OFDR). A two-dimensional binary optical fiber identifier (OFID), analogous to a digital fingerprint image, is derived from the Rayleigh backscattering spectrum (RBS) matrix, enabling identification when combined with structure similarity index measure (SSIM). Experiments show that the proposed scheme offers 109% improvement in robustness over conventional one-dimensional local-RBS matching, while reducing data storage from 0.98 MB to 39.6 kB per measurement. A systematic analysis of OFDR parameters reveals that identification accuracy is maximized at a spatial resolution of approximately 3 …

Generalization Bounds For Semi‑Supervised Matrix Completion With Distributional Side Information, Antoine Ledent, Mun Chong Soo, Minh Hieu Nong

Research Collection School Of Computing and Information Systems

We study a matrix completion problem where both the ground truth R matrix and the unknown sampling distribution P over observed entries are low-rank matrices, and share a common subspace. We assume that a large amount M of unlabeled data drawn from the sampling distribution P is available, together with a small amount N of labeled data drawn from the same distribution and noisy estimates of the corresponding ground truth entries. This setting is inspired by recommender systems scenarios where the unlabeled data corresponds to ‘implicit feedback’ (consisting in interactions such as purchase, click, etc. ) and the labeled data …

Interpretable Machine Learning For In-Home Mild Cognitive Impairment Detection, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, Iris Rawtaer

Research Collection School Of Computing and Information Systems

This paper introduces a novel system for in-home cognitive health assessment using ambient sensors and a machine learning technology that can robustly detect mild cognitive impairment (MCI) despite limited available data. The learned model can explain the aspects of individuals’ daily lives led to the prediction, while reliably predicting MCI, providing more insights to healthcare workers for further clinical interventions. We developed the robust transparent machine learning model, based on fusion adaptive resonance theory (Fusion ART) neural network to learn individuals’ daily patterns of activity from continuous sensor data in terms of a suite of digital biomarkers reflecting four key …

Ai Systems For Physicians: A Review From Socio-Technical And Human-Computer Interaction Perspectives, Wu Jiaqi Young, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The adoption of artificial intelligence (AI) in healthcare is accelerating, yet successful implementations of physician-facing AI systems remain limited and uneven. This paper presents a literature review of 40 peer-reviewed studies published between November 2022 and November 2024, spanning clinical, technical, and human-computer interaction (HCI) domains. Anchored in a socio-technical perspective, the review examines our existing understanding of how technical design, user expertise, and organizational factors shape the effectiveness of AI systems in real-world clinical settings. Our analysis identifies two meta-themes: (1) context as a dynamic, multi-level influence that actively reshapes AI system behavior, and (2) trust as an emergent …

Pregnant Women’S Attitudes And Intentions Toward Tuberculosis, Malaria, Group B Streptococcus, And Respiratory Syncytial Virus Vaccines In Pregnant: Findings From A Cross-Sectional Study Of Pregnant Women Living In Brazil, Ghana, Kenya, And Pakistan, Rupali Limaye, Jessica Schue, Berhaun Fesshaye, Prachi Singh, Emily Miller, Renato Souza, Saleem Jessani, Marleen Temmerman, Caroline Dinam Badzi, Molly Sauer, Vanessa Brizuela, Ruth Karron

Centre of Excellence in Women and Child Health

There are numerous infections that can adversely impact a developing fetus, neonates, and pregnant women, and there is limited research related to how specific infections experienced during pregnancy can affect these populations. Tuberculosis (TB), malaria, Group B streptococcus (GBS) and respiratory syncytial virus (RSV) can cause negative outcomes to maternal and neonatal health. For TB and GBS, there are vaccines in various stages of clinical trial development, and malaria and RSV vaccines are available. This study aimed to examine pregnant women’s attitudes toward TB, malaria, GBS, and RSV vaccines in Brazil, Ghana, Kenya, and Pakistan. We administered a cross-sectional survey …

Thinkmatter: Panoramic-Aware Instructional Semantics For Monocular Vision-And-Language Navigation, Guangzhao Dai, Shuo Wang, Hao Zhao, Bin Zhu, Qianru Sun, Xiangbo Shu

Research Collection School Of Computing and Information Systems

Vision-and-Language Navigation in continuous environments (VLN-CE) requires an embodied robot to navigate the target destination following the natural language instruction. Most existing methods use panoramic RGB-D cameras for 360° observation of environments. However, these methods struggle in real-world applications because of the higher cost of panoramic RGB-D cameras. This paper studies a low-cost and practical VLN-CE setting, e.g., using monocular cameras of limited field of view, which means “Look Less” for visual observations and environment semantics. In this paper, we propose a ThinkMatter framework for monocular VLN-CE, where we motivate monocular robots to “Think More” by 1) generating novel views …

Synergistic Removal Of Microplastic Fibres: Integrating Chitosan Coagulation In Hybrid Water Pre-Treatment Systems, Jayasuriya Arachchilage Nimesha Thathsarani

Theses: Doctorates and Masters

Microplastic fibres (MPFs) are the most prevalent form of microplastics detected in the influents of water and wastewater treatment plants. Owing to their elongated shape and low density, MPFs frequently evade removal even during tertiary processes such as membrane filtration. Enhancing pretreatment, particularly through cost-effective coagulation-flocculation can reduce the treatment burden on downstream systems. However, conventional inorganic coagulants often necessitate high dosages and can leave residual ions, posing environmental concerns.

As a sustainable alternative, the use of environmentally friendly coagulants such as Chitosan has gained attention for MPF removal. While Chitosan exhibits favourable qualities, its practical application is hindered by …

An Investigation Into The Mechanisms, Barriers, Degree And Sphere Of Risk Influence In Corporate Security, Nicola Lockhart

Theses: Doctorates and Masters

This study investigates the sphere of corporate security risk influence within organisations, addressing the conceptual and practical ambiguity surrounding the activity’s capacity to shape organisational decisions, behaviours, and risk priorities. While corporate security’s protective role is widely recognised, its broader organisational risk influence remains under-theorised. The study defines the sphere of risk influence as the range of organisational stakeholders and environments with which the corporate security activity interacts, and within which it may engage, persuade, and mobilise action. This sphere is analytically constituted through the intersection of three dimensions: the mechanisms through which influence is attempted, the barriers that constrain …

Getting Ready Right: The Impact And Influence Of The University Appointed Supervisor, Madlen Griffiths

Theses: Doctorates and Masters

Initial Teacher Education professional experience is a valued component of teacher education courses, where preservice teachers can practise applying what they have learned at university in classroom settings. Key to these experiences are supervisors, who are employed by the university and support these aspiring teachers during their professional experiences. This supervisory role is complex, underrated, under-theorised and under researched. Consequently, this research sought to address this shortfall through an investigation into the perspectives of two of the major stakeholders in these experiences: the preservice teachers and the supervisors.

Adopting a social constructivist methodology, this research examined the stakeholders’ perceptions of …

The Development Of A Midwifery Specific Tool To Identify The Barriers And Enablers To Change Within The Midwifery Setting, Sara Davis

Theses: Doctorates and Masters

Despite being well-positioned to identify service gaps and propose improvements, many midwives lack the knowledge, skills, confidence, or tools to effect practice change. Implementation science (IS) offers a structured approach to moving evidence-based innovations into practice; however, existing IS theories, models, and frameworks do not reflect the unique context of midwifery practice. The first step in the intentional implementation of an evidence-based practice innovation is to conduct a context assessment to identify factors that may facilitate or impede its uptake. There are numerous evidence-based checklists for this, but none capture all the influences on midwifery practice environments.

In this study, …

Enhancing Deep Reinforcement Learning With Expert Demonstrations For Mobile Robot Navigation In Unstructured Off-Road Environments, Dulitha Dabare

Theses: Doctorates and Masters

Advancements in the field of Deep Learning has ushered in a boom in autonomous navigation research. Most of the work being conducted in this space, however, has focused on on-road urban navigation scenarios, with unstructured outdoor terrain navigation receiving much more limited attention. Given the wide range of applications that exist for legged and wheeled ground robots in off-road environments in areas such as agriculture, mining and disaster recovery, there is a growing need for research work to improve the navigational capabilities of mobile robots deployed in these challenging environments.

A promising candidate for application to these navigation challenges in …

Advancing Treatment Of Pleural Infection, Estee Pui Mun Lau

Theses: Doctorates and Masters

Introduction: Pleural infection remains a major clinical concern, with an increasing incidence worldwide. The use of intrapleural tissue plasminogen activator (tPA) with deoxyribonuclease (DNase) therapy represents a major breakthrough as it offers an effective alternative to surgery for patients who fail conventional treatment. However, the optimal dosage of tPA is yet to be established. Indwelling pleural catheter (IPC)-related infections, especially IPC-related pleural infections are a significant concern and a barrier to the uptake of IPC. The development of a long-term preventative strategy is imperative to promote uptake and improve the quality of life of patients, particularly in those who have …

Experimental Investigation Into The Effects Of Air Staging On Fouling In A Fixed-Bed Biomass Combustor, Akram Elsebaie

Theses: Doctorates and Masters

Biomass offers significant potential as a sustainable and renewable substitute for fossil fuels in energy generation, playing a critical role in the reduction of global warming. However, despite its environmental benefits, biomass combustion faces persistent operational challenges, particularly fouling, which reduces efficiency and increases maintenance costs. Although fouling mechanisms have been studied in various combustion systems, there is limited research which addresses its formation and behaviour in fixed-bed biomass combustors under different air staging conditions. This research investigates fouling behaviour in a counter-current combustor, focusing on the influence of design (secondary air location), operational (air staging flowrates between the primary …

Integrated Incubators: A Novel Framework For Technology-Based Creative Arts Education, Brad Phelps Nisbet

Theses: Doctorates and Masters

This thesis investigates the development and impact of an educational framework designed to bridge the gap between academia and industry within the media and entertainment sector. It addresses the prevalent "skills mismatch" where graduates often lack the specific technical competencies, foundational knowledge, practical experience, or soft skills required for entry-level positions in a rapidly evolving landscape influenced by advancements like virtual production, real-time VFX, immersive media, and Al. Grounded in both theoretical and practical insights, the framework aims to foster student creativity, technical proficiency, industry readiness, transferable skills, and adaptability, prioritising a transformative, student-centric learning experience.

The research employed a …

Development Of Virtual Reality Learning Environments In Science To Engage Secondary Students In Hazardous Activities, Luke Spartalis

Theses: Doctorates and Masters

This research examines the need for change in including hazardous activities in education. As different learning technologies develop, platforms that retain authentic outcomes via virtual reality are needed. The main objective of this research is to examine the inclusion of Virtual Reality Learning Environments (VRLEs) to determine their value in areas that include hazardous conditions. The research considered the ways that VR tools could be optimised to support these activities, as well as considering the challenges of VRLE implementation. The study examined whether VRLE’s allowed for authentic experiences to sufficiently drive an acceptance of VR to complement existing teaching and …

The Relationship Between Functional Measures And Patient Reported Outcomes In Adult Spine Patients, River M. Tomlinson, Eric Klineberg, Jacob Jelmini, Nicole Baker

Summer Research Program Abstracts

No abstract provided.

Neurodevelopmental Outcomes After Posthemorrhagic Hydrocephalus Of Prematurity, Mekal S. Mathew, Rene Leal, Caroline L. Hanan, David J. Sun, Hasan K. Mubarak, Amelie D. Perrier, William E. Johnson, Micolette R. Mardik, Trevor R. Alwell, Christian Amezquita Contreras, Chance E. Hatfield, Peter H. Yang

Summer Research Program Abstracts

No abstract provided.

Learning-Based Graph Shrinking For Quantum Optimization Of Constrained Combinatorial Problems, Monit Sharma, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Graph shrinking has recently emerged as a powerful preprocessing technique for hybrid classical–quantum optimization, enabling variable and constraint reduction before quantum solving. Conventional approaches rely on Semi-Definite Programming (SDP) relaxations to compute vertex correlations, but these methods suffer from high computational overhead, instance-specific tuning, and limited generalizability. In this work, we replace the handcrafted SDP correlation stage with a reinforcement learning (RL) based correlation estimator, trained to predict merge quality directly from graph structure. We reformulate the graph shrinking process as a Markov Decision Process (MDP), design a Graph Neural Network (GNN) policy to guide vertex merging, and integrate the …

Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau

Research Collection School Of Computing and Information Systems

Healthcare organizations are increasingly adopting digital technologies, with Artificial Intelligence (AI), Data Science, and the metaverse driving significant advancements in smart healthcare. Al facilitates personalized medicine and efficient drug development, while Data Science enables predictive analytics and big data management, enhancing patient outcomes and healthcare quality. The metaverse introduces immersive training and telemedicine platforms, revolutionizing patient engagement and healthcare research. This study conducts' a scoping review of 6,171 articles, analyzing the transformational impact of AI, ChatGPT, Data Science, and the metaverse on healthcare. It highlights the benefits and risks of these technologies, identifies research gaps in their application within the …

Security-Enhanced Decentralized Conditional Privacy-Preserving Authentication In Vanets, Suqin Luo, Xinghua Li, Yinbin Miao, Xuelin Cao, Zhan Zhang, Yunwei Wang, Deng R.H.

Research Collection School Of Computing and Information Systems

To ensure the legitimacy of communicators while ad dressing the privacy concerns of vehicles in vehicular ad-hoc networks (VANETs), conditional privacy-preserving authentication (CPPA) schemes have been proposed. Given that existing schemes suffer from single point of failure due to centralized authorities, several distributed CPPA schemes have been proposed. However, these schemes all ignore the tight cementation between system secret keys and the authority, which could be a serious threat to system security, that the compromised authority may leak the system secret key. To address these issues, we propose a security enhanced decentralized conditional privacy-preserving authentication (DCPPA) scheme. DCPPA first introduces …

Purified Zero-Shot Sketch-Based Image Retrieval, Yang Zhou, Jingru Yang, Jin Wang, Kaixiang Huang, Guodong Lu, Shengfeng He

Research Collection School Of Computing and Information Systems

Sketches, as a new solution in multimedia systems that can replace natural language, are characterized by sparse visual cues such as simple strokes that differ significantly from natural images containing complex elements such as background, foreground, and texture. This misalignment poses substantial challenges for zero-shot sketch-based image retrieval (ZS-SBIR). Prior approaches match sketches to full images and tend to overlook redundant elements in natural images, leading to model distraction and semantic ambiguity. To address this issue, we introduce a distraction-agnostic framework, purified cross-domain matching (PuXIM), which operates on a straightforward principle: masking and matching. We devise a visual-cross-linguistic (VxL) sampler …

Portfoliopilot: An Agentic Platform For Financial Portfolio Management Algorithm Development And Evaluation, Jared Chan Xu Yang, Haokai Ma, Yunshan Ma

Research Collection School Of Computing and Information Systems

Developing new portfolio-management algorithms typically demands substantial programming effort, limiting rapid experimentation and excluding finance professionals without coding skills. Current robo-advisory tools offer pre-built but rigid strategies, restricting customization and experimentation. We introduce PortfolioPilot, an open-source, agentic platform that enables users to generate bespoke portfolio through natural-language descriptions. Leveraging the Anthropic Claude API, PortfolioPilot dynamically synthesizes executable TypeScript algorithms that run in the frontend with security validation. The system integrates real-time backtesting with historical market data, classical optimization algorithms (Markowitz, LSTM, ARIMA), and interactive performance visualizations.

Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark For Llms, Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

Research Collection School Of Computing and Information Systems

Reasoning is the fundamental capability of large language models (LLMs). Due to the rapid progress of LLMs, there are two main issues of current benchmarks: i) these benchmarks can be crushed in a short time (less than 1 year), and ii) these benchmarks may be easily hacked. To handle these issues, we propose the ever-scalingness for building the benchmarks which are scaling over complexity against crushing, instance against hacking and exploitation, oversight for easy verification, and coverage for real-world relevance. This paper presents Nondeterministic Polynomial-time Problem Challenge (NPPC), an ever-scaling reasoning benchmark for LLMs. Specifically, the NPPC has three main …

Tinjauan Frasa “Setiap Orang” Dalam Pasal 3 Ayat (1) Peraturan Pemerintah Nomor 56 Tahun 2021 Tentang Pengelolaan Royalti Hak Cipta Lagu Dan/Atau Musik, Fajar Hidayansyah Ilham, Luna Dezeana Ticoalu

Jurnal Hukum & Pembangunan

Copyright is one form of legal protection for intellectual works, occupying an important position within the intellectual property law system. The Copyright Law explicitly grants exclusive rights to creators, encompassing both moral rights and economic rights. Economic rights, as stipulated in Article 9 paragraph (1), allow creators to obtain economic benefits from their works, ranging from publication, reproduction, distribution, performance, to communication to the public. This provision shows that creators hold a primary position as legal subjects entitled to protection, while also serving as central actors in the creative industry ecosystem. In practice, the mechanism for copyright protection requires implementing …

Democratizing Restitution: Trust As An Equitable Approach To Competing Claims On Cultural Heritage Objects, Britta Redwood

Articles

As formerly colonized states began to win their independence in the mid-twentieth century, a growing chorus of voices called on museums in London, Paris, Berlin, and other European cities to return objects taken during the colonial period. Having largely ignored these requests until recently, museums throughout Europe and the United States have begun negotiating returns of these objects to their rightful owners. There is a growing recognition among Western cultural institutions that continuing to hold cultural heritage objects taken under conditions of coercion or violence is morally untenable. More recently, some scholars have argued for a human rights approach to …

Property Rights V. Taxpayer Rights: The Battle Over Tax Foreclosures, Stewart E. Sterk

Articles

No abstract provided.