Digital Commons Network^™

Nature Versus Non-Natural Environments: Effects On Stress And Creativity, Amy J. Lim, Stephen M. Colarelli, Norman P. Li, Liqun Wei, Ming-Hong Tsai, Xiao-Xiao Liu, Mark Van Vugt

Research Collection School of Social Sciences

We examined the effects of nature-based environmental stimuli versus evolutionarily novel built or abstract art environments on creative production in three experiments. In Study 1 (N = 85), we compared people's creative performance in rooms set up to display either a natural or built landscape. In Study 2 (N = 62), participants completed creativity tasks after taking a walk in an urbanized city district or after a walk in a forested park. In Study 3 (N = 108), using a longitudinal field experiment taking place over three months, we examined the creative performance of factory employees by comparing their normal …

Using Large Language Models To Analyze Political Texts Through Natural Language Understanding, Kenneth Benoit, Scott De Marchi, Conor Laver, Michael Laver, Jinshuai Ma

Research Collection School of Social Sciences

Large language models (LLMs) offer scalable alternatives to human experts when analyzing political texts for meaning, using natural language understanding (NLU). Qualitative NLU methods relying on human experts are severely limited by cost and scalability. Statistical text-as-data methods are scalable but rely on strong and often unrealistic assumptions. We propose a systematic, scalable, and replicable method that can extend existing qualitative and quantitative approaches by using LLMs to interpret texts meaningfully rather than as mere data. Our ensemble means of LLM-generated estimates of party positions on six key issue dimensions correlate highly with equivalent mean ratings by country specialists. When …

When Stress Matters Most: Developmental Timing And Socio-Ecological Stressors Among Mexican-Origin Adolescents From Low-Income Immigrant Families, Ka I Ip, Wen Wen, Sujin Lee, Wei Xiang Sim, Su Yeong Kim

Research Collection School of Social Sciences

This study investigates the dynamic, time-varying associations between multiple socio-ecological stressors and internalizing symptoms among Mexican-origin youth from low-income immigrant families. Grounded in a socioecological framework and employing time-varying effect modeling (TVEM), we examine how stressors at the interpersonal, family, and neighborhood levels differentially influence anxiety and depressive symptoms across early adolescence (ages 11–13), middle adolescence (ages 14–17), and late adolescence/emerging adulthood (ages 18–20). Participants included 604 Mexican-origin adolescents (54% female) from low-income immigrant families, assessed across three waves spanning nine years. Five distinct stressors were identified: discrimination, foreigner stress, economic stress, language brokering stress, and neighborhood violence/non-safety. Results from …

Honing The Haptics Of The Heart: A New Defence Of The Perceptual Theory Of Emotion, Brandon Yip

Research Collection School of Social Sciences

According to the perceptual theory of emotion, emotions are evaluative perceptions. However, emotions involve us in a way that regular perception does not and this has led to two influential objections to the perceptual theory have emerged. According to the first objection, the perceptual theory is false because the phenomenology of emotion is the phenomenology of response. According to the second objection, the perceptual theory is false because emotions are susceptible to evaluations of rationality and reason-responsiveness. In this essay, I defend the perceptual theory by disarming these two objections. In response to the first objection, I suggest that emotional …

Knowledge Of Lifespan And Healthspan And Interest In Healthy Longevity Medicine Among The General Population In Singapore: The Singapore Healthy Longevity (Helo) Survey, Jonas John Posko Amalaraj, Belinda Wang, Anna Szucs, Louis Island, Laureen Yi-Ting Wang, Liz J. Horberg, Paul A. O'Keefe, Sonny Rosenthal, Yap-Seng Chong, Johannes J. Meij, Andrea B. Maier

Research Collection College of Integrative Studies

Given the growing global interest in Healthy Longevity Medicine (HLM), the field lacks understanding about public knowledge and interest, which are crucial for any public health intervention relying on HLM. This study presents findings from the Healthy Longevity (HELO) survey conducted in Singapore, assessing public knowledge regarding lifespan (number of years a person is alive), healthspan (number of years a person spends in good health), and interest in HLM. This nationwide cross-sectional survey, conducted between June and August 2024, involved 3034 participants. Main domains including questions on demographics, living arrangements, medical information, health behaviours, income and financial status were tested …

A Novel Privacy-Preserving User Information Queries Scheme With Functional Policy, Yuhang Lei, Rui Shi, Yang Yang, Chunjie Cao, Huamin Feng

Research Collection School Of Computing and Information Systems

Privacy-preserving information queries enable a requester to obtain only the value f(x) computed over sensitive data x, while preventing disclosure of the underlying records. Existing approaches typically reveal full data, incur high on-chain overhead, or lack fair and verifiable delivery of function outputs. We propose a general-purpose, blockchain-compatible framework that ensures the requester learns only f(x) with no extra leakage and that the provider receives fair payment. The design integrates Adaptor Signatures (AS) for fair exchange and Inner-Product Functional Encryption (IPFE) for fine-grained function extraction. The framework is domain-agnostic and applicable to privacy-sensitive applications such as medical insurance and financial …

Compensation For Victims Of Crimes: Should Victims’ Financial Means And Insurance Coverage Matter? — Criminal Procedure Code 2010, S 359(1); Public Prosecutor V Ong Eng Siew [2025] Sghc 55, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

Under s 359(1) of the Criminal Procedure Code 2010, the court can order an offender to compensate the victim with a sum which the victim would have been able to recover in a civil claim in tort against the offender. The courts have used this useful power extensively, though problems remain. One such problem is seen in Ong Eng Siew, where the court declined to make a compensation order. Given the purpose of the compensation system, the court was not correct to hold – in effect – that the purpose of s 359(1) is to benefit only impecunious victims, and …

Expanding Public Health Insurance To Parents: Effect On Parents' And Children’S Well-Being, Michelle Marcus, Xuan Zhang

Research Collection School Of Economics

Expanding public health insurance to parents may not only improve parental outcomes but also have spillover effects on their children. This paper leverages the natural experiment of the Affordable Care Act (ACA) to estimate the causal effects of expanding public health insurance to low-income parents on their well-being and that of their children. Using a difference-in-differences model and data from the 2010–2017 National Health Interview Surveys, we observe significant improvements in health care access, increased health care utilization, reduced financial burdens, and slight improvements in health status among low-income parents. For children in Medicaid expansion states, we find reductions in …

Opencil: Benchmarking Out-Of-Distribution Detection In Class Incremental Learning, Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohuan Fang, Jin Zheng, Xiao Bai

Research Collection School Of Computing and Information Systems

Class incremental learning (CIL) aims to learn a model that can not only incrementally accommodate new classes, but also maintain the learned knowledge of old classes. Out-of-distribution (OOD) detection in CIL is to retain this incremental learning ability, while being able to reject unknown samples that are drawn from different distributions of the learned classes. This capability is crucial to the safety of deploying CIL models in open worlds. However, despite remarkable advancements in the respective CIL and OOD detection, there lacks a systematic and large-scale benchmark to assess the capability of advanced CIL models in detecting OOD samples. To …

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 …

Interpretable Machine Learning For Personalized Profiling Of Mild Cognitive Impairment From Daily Activities, Budhitama Subagdja, Ah-Hwee Tan, Kenneth Kwok, Iris Rawtaer

Research Collection School Of Computing and Information Systems

Continuous monitoring of individual daily activities is essential to detect mild cognitive impairment (MCI) wherein timely intervention can still be applied to prevent more severe mental decline. Recent approaches in predicting MCI are mostly considering digital biomarkers across individuals but often neglecting specific indicators from a single person over a long period of time. Making this personalized, dynamic, and highly noisy prediction model with irregular distribution of missing information to be explainable and actionable for clinical use, remains a challenge. This paper presents a study on a personalized MCI prediction and profiling from an in-home and mobile cognitive health monitoring …

Bespoke Realized Volatility: Tailored Measures Of Risk For Volatility Prediction, Andrew John Patton, Haozhe Zhang

Research Collection School Of Economics

Standard realized volatility (RV) measures estimate the latent volatility of an asset price using high frequency data with no reference to how or where the estimate will subsequently be used. This paper presents methods for “tailoring” the estimate of volatility to the application in which it will be used. For example, if the volatility measure will be used in a specific parametric forecasting model, it may be possible to exploit that knowledge to construct a better measure of volatility. We use methods from machine learning to estimate optimal “bespoke” RVs for heterogeneous autoregressive (HAR) and GARCH-X forecasting applications. We apply …

The Smu Trade Dashboard: Tracking And Quantifying The Trump Ii Tariffs, Pao-Li Chang, Ruoqing Chen, Lin Ma

Research Collection School Of Economics

The SMU Trade Dashboard (https://economics.smu.edu.sg/soetrade/tr ade-dashboard), developed by the SMU Center for Research on International Trade, consists of Tariff Tracker and Trade Simulation functions. The Tariff Tracker allows users to track the tariff applicable to an HS 6-digit product or an ISIC 2-digit sector bymarkets and country origins. The Trade Simulation presents quantitative simulation results of the effects of Trump II tariffs (and the associated tariff responses by its trading partners) on trade flows, welfare, and wages. This companion paper documents the methodologies underlying the tariff data collection protocol and the structuralsimulation designs.

Success And Flourishing In Singapore: The Impact Of Laws And Policies On The Ethos And Character Of A People, Seow Hon Tan

Research Collection Yong Pung How School Of Law

According to virtue jurisprudence, good laws can be conducive to virtuous living; poor laws can contribute to character vices and entrench prejudices. This article focuses on what lies beyond the strict categorization of virtue and vice simpliciter—the ethos and mindset of a people. Using a case study of Singapore, this article examines how law, conceived of in the broadest sense as including policies chosen in a legal regime that leaves the concretization of policies to government bodies, can diminish the capacity and desire of individuals to live examined lives in pursuit of eudaimonia or flourishing. Insofar as living examined lives …

China And International Economic Dispute Settlement: Disaggregating The State, Gregory Shaffer, Ji Li, Henry S. Gao

Research Collection Yong Pung How School Of Law

Most studies take a unitary state-centric approach to assessing China’s relationship with international economic law. In contrast, we provide a more nuanced approach that assesses variation in China’s engagement. We examine the role of different Chinese state and non-state actors, considering their interests, ideological frames, institutional contexts, and relation to state power. We illustrate our analytic framework by examining China’s response to and engagement with international dispute settlement systems in three areas: international commercial arbitration, international trade dispute settlement, and investor–state arbitration. Our approach is important for global cooperation in discrete policy areas so that the West does not ‘other’ …

A Knowledge Transfer-Based Membrane Evolutionary Algorithm For Solving Large-Scale Sorted Waste Collection Problem With Timeliness, Wenxue Zhang, Boquan Gao, Aldy Gunawan, Yunyun Niu, Jianhua Xiao

Research Collection School Of Computing and Information Systems

The sorted collection of municipal solid waste has emerged as an effective waste management strategy due to varying timeliness requirements across different waste types, giving rise to the critical research challenge of timeliness-based waste collection. While existing algorithms primarily focus on small-scale versions of this problem, solving large-scale timeliness-based waste collection problems remains particularly challenging. To tackle this issue, this paper proposes a knowledge transfer-based membrane evolutionary algorithm. Specifically, the original problem and simplified problem are constructed in different membranes respectively, and the knowledge transfer learning mechanism is incorporated into the membrane evolutionary algorithm, enabling effective information exchange between the …

Invert Your Prompt: Editing-Aware Diffusion Inversion, Yangyang Xu, Wenqi Shao, Yong Du, Haiming Zhu, Yang Zhou, Jiayuan Xie, Ping Luo, Shengfeng He

Research Collection School Of Computing and Information Systems

Recent advancements in text-guided diffusion models have enabled powerful image manipulation capabilities. However, balancing reconstruction fidelity and editability for real images remains a significant challenge. In this work, we introduce Editing Inversion (EditInv), a novel framework that inverts and edits real images for specific editing tasks by optimizing specific prompt embeddings within the extended  space. By leveraging distinct embeddings across different U-Net layers and time steps, EditInv seamlessly integrates inversion and editing through reciprocal optimization, ensuring both high fidelity and precise editability. This hierarchical editing mechanism classifies tasks into structure, appearance, and global edits, optimizing only those embeddings that are …

Learning To Search For Vehicle Routing With Multiple Time Windows, Kuan Xu, Zhiguang Cao, Chenlong Zheng, Lindong Liu

Research Collection School Of Computing and Information Systems

In this study, we propose a reinforcement learning-based adaptive variable neighborhood search (RL-AVNS) method designed for effectively solving the Vehicle Routing Problem with Multiple Time Windows (VRPMTW). Unlike traditional adaptive approaches that rely solely on historical operator performance, our method integrates a reinforcement learning framework to dynamically select neighborhood operators based on real-time solution states and learned experience. We introduce a fitness metric that quantifies customers’ temporal flexibility to improve the shaking phase, and employ a transformer-based neural policy network to intelligently guide operator selection during the local search. Extensive computational experiments are conducted on realistic scenarios derived from the …

Exploring Neural Network Structure Code Reuse In The Open-Source Community For Improving Maintenance, Xiaoning Ren, Yuekun Wang, Chongyang Liu, Yueming Wu, Qiang Hu, Lijun Zhang, Yinxing Xue

Research Collection School Of Computing and Information Systems

Neural networks (NNs) have rapidly advanced, demonstrating exceptional performance across various fields, leading to a surge in open-source NN projects. The complexity and rapid growth of these projects pose significant challenges for maintenance within the open-source community. Given that NN architecture code is the core asset of NN projects, understanding its reuse in the open-source community is essential for effective maintenance, such as reducing redundancy and identifying potential intellectual property violations. While prior studies have examined code reuse in open-source projects, they have two key limitations: They do not specifically address NN structure code, and they rely on manually selected …

Plm-Effector: Unleashing The Potential Of Protein Language Models For Bacterial Secreted Protein Prediction, Dandan Zheng, Lihong Chen, Guansong Pang, Jian Yang

Research Collection School Of Computing and Information Systems

Bacterial secreted proteins, particularly effectors delivered by specialized secretion systems, are key mediators of virulence and host-pathogen interactions. However, accurate computational identification remains challenging, as many existing methods rely heavily on sequence similarity or handcrafted features, and often focus on a single secretion system. Recent studies have reported that some bacterial effectors may be associated with more than one secretion system, highlighting the complexity of secretion system annotation and motivating the development of system-aware computational prediction approaches. Here, we present PLM-Effector, a hybrid deep learning framework that integrates modern protein language models (PLMs) with multiple neural architectures via a two-layer …

Living Well: The Built, Lived, And Social Determinants Of Well-Being, Yi Wen Tan, Zidane Tiew, Emi Loh, Shania Go, Wensi Lim

ROSA Research Briefs

As Singapore transitions into a super-aged society, it becomes imperative for us to develop sustainable, inclusive, and effective models of care. In recent years, there has been growing emphasis on embedding healthcare, social services, and everyday amenities within the community. During this year’s National Day Rally, the Government introduced Age Well Neighbourhoods, a new scheme that builds on existing efforts from the Age Well SG initiative. Age Well Neighbourhoods seeks to expand active ageing centre networks, bring healthcare closer to homes with the establishment of community health posts, and provide greater home personal care services, further cementing its focus on …

A ‘Digital Dominion’: Launching The Commonwealth Model Law On Digital Trade, Craig Atkinson

Centre for Digital Law

A legislative text published for the benefit of its 56 member countries, the Commonwealth of Nations officially adopted the Model Law on Digital Trade (MLDT) in September 2025. The Commonwealth MLDT addresses a persistent barrier to digital trade (i.e., all trade that is digitally ordered and/or digitally delivered): the laws of many jurisdictions do not sufficiently recognise the legal requirements of electronic commerce (e-commerce) and continue to emphasise paper-bases for commercial communications and transactions in domestic and cross-border contexts.

Obstructive Sleep Apnea Prediction: A Comprehensive Review And Comparative Study, Thi Khanh Chi Huynh, Amonae Dabbs-Brown, Anna Jurek-Loughrey, James Mulhall, Tuan Dung Pham, Ngoc Phu Doan, Viet Hung Tran, Zichi Zhang, Xuan Hoang Nguyen, Yimeng An, Peixin Li, Phi Hung Nguyen, Thi Linh Hoang, Xinming Shi, Hans Vandierendonck, Sebastien Bailly, Jean-Louis Pépin, Thai Son Mai

Research Collection School Of Computing and Information Systems

Obstructive Sleep Apnea (OSA) is a highly prevalent sleep disorder linked to considerable public health burdens and comorbidities. However, its heterogeneous presentation and the limited accessibility of traditional diagnostic tools such as polysomnography (PSG) lead to widespread underdiagnosis. As a result, artificial intelligence (AI) approaches, including machine learning (ML) and deep learning (DL) models, have attracted attention as an alternative pathway to detection. This paper first provides a comprehensive review of AI-driven OSA diagnosis, covering different diagnosis problems, input-data types, data biases, pre-processing techniques, and model performance. We then leverage the largest clinical dataset used in OSA prediction to date, …

Dual Self-Construal Integration (Dsci) And Romantic Relationships In Singapore: Enhancing Romantic Relationship Satisfaction Through Creativity, Kenneth Tan, Chi-Ying Cheng, Gloria J. Lai, Daniel Ho

Research Collection School of Social Sciences

Research has shown that independent vs. interdependent self-construals are largely shaped by culture and can predict the endorsement of distinct relational schemes when dealing with close others. Intriguingly, individuals exposed to both Eastern and Western cultures can develop both independent and interdependent self-construals and possess the two seemingly conflicting self-construals simultaneously. What is less explored is how different management of both independent and interdependent self-construals influence individuals' navigation of relational schemas in their romantic relationships. The current research examines the influence of how one's dual self-construal integration (DSCI)—an individual difference measure that captures the degree to which individuals perceive independent …

Information Sharing Within Institutional Investor Networks, Wei Ting Loh

Research Collection School Of Accountancy

This study examines whether information sharing occurs within institutional investor networks. I identify networks of institutional investors who share common investments and find that in-network investors earn significantly higher returns than other investors of the same firm, suggesting that valuable private information is shared within these networks. I also find that ownership by investor networks is associated with speedier price discovery and incorporation of more firm-specific news in prices, consistent with information sharing facilitating efficient price formation. In addition, ownership by network investors is associated with higher information risk as reflected in the probability of informed trading and market liquidity. …

Female Ceos And Esg Visual Expressions, Ziming Guo, Beng Wee Goh, Dan Li, Yuan Wang

Research Collection School Of Accountancy

Prior studies have shown that women possess unique personality traits that cause them to communicate differently than men do. Hence, we investigate whether the presence of female CEOs affects the use of visual expressions in a firm’s ESG report (“ESG visual expressions”). Using detailed disclosure data from ESG reports in China, we find that firms with female CEOs use more ESG visual expressions. This result is stronger when the firm prioritizes ESG performance, when the female CEO is more powerful, and when there are more women on the top management team. ESG visual expressions are also positively associated with the …

The Impact Of Innovation Belief On Strategic Product R&D, Yan Zhou

Dissertations and Theses Collection (Open Access)

In highly uncertain innovation scenarios characterized by long R&D cycles and high risks, how to continuously drive enterprises to develop market-competitive blockbuster products has become a critical issue of shared concern in both practice and academia. Existing research has mostly explained differences in blockbuster product R&D from perspectives such as resource allocation, organizational structure, or institutional incentives, while paying insufficient attention to cognitive and belief factors at the individual level. Based on this, this paper introduces the psychological and cognitive variable of "innovative belief" to systematically examine its impact mechanism on blockbuster product R&D capability.

Taking the R&D team of …

Market Culture And Innovation Acceptance In Fire Safety Products: The Moderating Role Of Perceived Market Regulation, Xu Zhang

Dissertations and Theses Collection (Open Access)

Against the backdrop of continuously rising global fire safety standards and ongoing technological iteration in fire protection products, whether innovative fire protection products can be effectively accepted by the market has become a critical issue influencing the returns on firms’ innovation investments and the high-quality development of the industry. Existing studies have predominantly explored innovation diffusion mechanisms from the perspectives of technological attributes or organizational factors, while paying relatively limited attention to market culture as a contextual factor, as well as to the differentiated role that government regulation may play in this process. Based on this, this study takes institutional …

The Impacts Of Political Leaders’ Social Capital On Policy Success: The Case Of Local Food Systems, In Hae Noh, Beomgeun Cho, April M. Roggio, Luis F. Luna-Reyes

Research Collection School of Social Sciences

Network approaches to collaborative leadership suggest that local leaders’ success depends on activities that connect their organization to diverse stakeholders and resources. Drawing on the literature on managerial networking and a mixed-methods approach that includes 38 semi-structured interviews and a survey of 185 New York State municipal leaders, we explore the impact of leaders’ networking efforts on food access and security in their communities. We hypothesize that different forms of leaders’ social capital (bridging, bonding, and linking) has an impact on policy success. Our results suggest that only bridging social capital has an impact on food access. We conclude with …

Derivation Of An Updated Brief Multivariable Prediction Model To Detect Panic-Related Anxiety In Emergency Department Patients With Cardiopulmonary Complaints, Sharon C. Sung, Felicia J. L. Ang, Arul Earnest, Leslie E. C. Lim, Shreshtha Jolly, Gilaine Rui Ng, A. John Rush, Marcus E. H. Ong

Research Collection School of Social Sciences

Background Patients with panic related-anxiety (i.e., panic attacks or panic disorder) frequently present to emergency departments (EDs) with cardiopulmonary complaints but are often undiagnosed, which can lead to recurrent visits and prolonged distress. This study aimed to derive a new symptom-based multivariable diagnostic prediction model to detect panic-related anxiety in ED patients with cardiopulmonary symptoms.Methods We conducted a single-blind prospective derivation study over 15 months in the ED of a major tertiary hospital in Singapore. Patients presenting with symptoms of palpitations, chest pain, dizziness, or difficulty breathing were assessed using the Structured Clinical Interview for DSM Disorders (SCID) to diagnose …