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Articles 241 - 270 of 15935
Full-Text Articles in Entire DC Network
Sevoauth: Secure Voiceprint Authentication With Hash-Based Feature Transformation, Rui Zhang, Zheng Yan, Robert H. Deng
Sevoauth: Secure Voiceprint Authentication With Hash-Based Feature Transformation, Rui Zhang, Zheng Yan, Robert H. Deng
Research Collection School Of Computing and Information Systems
While voiceprint authentication offers convenient user authentication and access control through voice feature recognition, a critical research gap remains: existing voiceprint authentication systems fail to simultaneously achieve sound security against replay, spoofing, and adversarial attacks, preserve voice privacy leakage, and satisfy usability demand. Previous efforts have struggled to balance these issues comprehensively. To bridge this gap, we present SeVoAuth, a cloud-based Voiceprint Authentication as a Service (VAaaS) system designed to provide privacy preservation, robust security, and enhanced usability. SeVoAuth stores a synthesized voiceprint of a user in the cloud during user registration, thereby safeguarding the privacy of the real voiceprint …
Collaborative Practices And Tool Utilization In Software Development Projects: A Student Perspective, Yi Meng Lau, Muhammad Syahmi Bin Abbas, Lingxiao Jiang
Collaborative Practices And Tool Utilization In Software Development Projects: A Student Perspective, Yi Meng Lau, Muhammad Syahmi Bin Abbas, Lingxiao Jiang
Research Collection School Of Computing and Information Systems
Software development is a collaborative activity that depends on effective teamwork, shared understanding, and coordinated use of development practices and tools. While these aspects are well studied in professional environments, they are less frequently examined within software engineering education. This study investigates how students collaborate in group projects, focusing on collaborative practices, tool usage, and their perceptions of software quality. We conducted a quantitative post-project survey with 143 second-year undergraduate students enrolled in a software development course. The results show that students actively share information and often establish team norms to support coordination and collaboration. However, students face challenges in …
Generation Of Elaborated, Targeted And Effective Feedback For Novice Programmers Using Llm, Hua Leong Fwa
Generation Of Elaborated, Targeted And Effective Feedback For Novice Programmers Using Llm, Hua Leong Fwa
Research Collection School Of Computing and Information Systems
Programming errors and misconceptions are pervasive in novice programmers which causes difficulty in the learning of computer programming. Large Language Models (LLMs), with their ability to comprehend and generate programming codes have shown promising results in the automatic identification of errors. This can potentially benefit student programmers by providing them with timely formative feedback at efficiencies and scale that were not attainable previously. In this study, we leveraged an LLM - OpenAI o4-mini for the generation of elaborated, targeted feedback for novice programmers across PHP and JavaScript exercises. We contend that the feedback needs to be effective and targeted other …
Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau
Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau
Research Collection School Of Computing and Information Systems
Population ageing is placing increasing pressure on healthcare and caregiving worldwide. Governments in different countries are looking into the use of advanced information technologies such as artificial intelligence and robotics to help in caring for ageing population. Older adults often need both physical assistance and psychological support, and robots have emerged as a promising technological approach to supplement eldercare. This paper provides an overview of the current state of robots in eldercare. It reviews the major definitions, categories, and features of robots used in healthcare and eldercare. The paper also examines the potential benefits of robotic technologies, such as reducing …
Perception Of Socioeconomic Status: A Meta-Analysis Of Manipulations, Jacinth Jia Xin Tan, Yong En Amos Tai
Perception Of Socioeconomic Status: A Meta-Analysis Of Manipulations, Jacinth Jia Xin Tan, Yong En Amos Tai
Research Collection School of Social Sciences
The causal effects of one’s socioeconomic status (SES) on outcomes are typically examined by experimentally manipulating SES self-perceptions based on one of three SES dimensions—absolute resource, relative resource, and general social position. We investigated the efficacy of these manipulations by systematically meta-analyzing their effects on SES self-perceptions. Based on 107 eligible samples (N = 26,203), manipulations of SES self-perceptions across the three SES dimensions were effective overall (g = 0.56–0.95). Explicit priming of absolute resource and relative resource manipulations comparing high versus low SES were consistently effective—although bias-corrected effects were attenuated—suggesting the importance of salient SES information and social comparisons. …
Log Off To Level Up: The Effect Of Social Media Hiatus On Goal Pursuit, Nekysha L. Y. Jalil, Yong Han Tan, Andree Hartanto, Eddie M. W. Tong
Log Off To Level Up: The Effect Of Social Media Hiatus On Goal Pursuit, Nekysha L. Y. Jalil, Yong Han Tan, Andree Hartanto, Eddie M. W. Tong
Research Collection School of Social Sciences
Concerns are growing that social media, with its constant notifications and attention-grabbing content, may distract individuals and hinder progress toward important goals. Despite its pervasive presence in our lives, the impact of social media on goal achievement has not been thoroughly studied. This within-subject experimental study aims to investigate the effects of social media hiatus (SMH), a short abstinence from social media usage, on goal pursuit processes. Participants (N= 107) completed daily diaries over three consecutive days of SMH and three days of regular social media use. SMH was manipulated by blocking participants’ access to multiple social media platforms. The …
Meritocracy And Equal Access To The Public Sector: A Comparative Analysis Of Accessibility To Public Sector Jobs And Public Services, Beomgeun Cho, Heasun Choi
Meritocracy And Equal Access To The Public Sector: A Comparative Analysis Of Accessibility To Public Sector Jobs And Public Services, Beomgeun Cho, Heasun Choi
Research Collection School of Social Sciences
This study investigates the impact of meritocracy on equal access to the public sector, focusing on public sector employment and services. While meritocratic principles promote impartiality and fairness in administrative processes, their effectiveness in improving equal accessibility remains understudied and contested. Drawing on the literature linking meritocracy to democratic stability, we argue that strong meritocratic systems enhance equal access to the public sector regardless of social groups and gender by fostering professional stewardship in the bureaucracy and strengthening checks and balances between bureaucrats and politicians. Our findings, drawn from a panel dataset consisting of 161 countries over 49 years, suggest …
The Effect Of A 14-Day Digital Nudge-Based Sleep Hygiene Intervention On Behavioural, Cognitive, And Emotional Well-Being In College Students: An Experimental Approach, Tracy X. Chen, Chi-Ying Cheng, Michelle Koay, Chin Boon Soh, Andree Hartanto
The Effect Of A 14-Day Digital Nudge-Based Sleep Hygiene Intervention On Behavioural, Cognitive, And Emotional Well-Being In College Students: An Experimental Approach, Tracy X. Chen, Chi-Ying Cheng, Michelle Koay, Chin Boon Soh, Andree Hartanto
Research Collection School of Social Sciences
Sleep is essential for one's cognitive, psychological, and physical health. Yet, college students often face sleep deprivation due to academic demands, social obligations, and extracurricular commitments. This study implemented a 14-day Digital Nudge-Based Sleep Hygiene Intervention, delivered via a digital platform, to encourage healthier sleep practices among college students. Grounded in nudge theory, the digital intervention used subtle behavioural prompts to improve participants' sleep hygiene without imposing restrictions, demonstrating high adherence and scalability. Participants were guided through daily tasks to enhance autonomy and motivation, such as creating calming bedtime routines. The digital intervention led to positive outcomes across four domains: …
Brief Virtual Reality And Mixed Reality Mindfulness Breathing Exercise For Emotional Well-Being And Cognitive Functions In University Students: Within-Subjects Experimental Design Study, Zoey Khai Yee Eun, Charmaine Jiali Koh, Hwajin Yang, Adalia Yin Hui Goh, Meilan Hu, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Andree Hartanto
Brief Virtual Reality And Mixed Reality Mindfulness Breathing Exercise For Emotional Well-Being And Cognitive Functions In University Students: Within-Subjects Experimental Design Study, Zoey Khai Yee Eun, Charmaine Jiali Koh, Hwajin Yang, Adalia Yin Hui Goh, Meilan Hu, K Tennakoon Appuhamillage Sandeeshwara Kasturiratna, Andree Hartanto
Research Collection School of Social Sciences
Background: Mindfulness has been shown to enhance emotional well-being and cognitive performance, yet much of this evidence stems from interventions requiring prolonged practice, making them time-consuming and less accessible. Recent studies suggest that brief mindfulness sessions may also yield positive outcomes, but the effectiveness of such interventions in virtual reality (VR) and mixed reality (MR) remains underexplored. Objective: This study investigates the effects of brief mindfulness breathing exercises delivered through VR and MR on attentional and emotional restoration and self-control capacity. Methods: Using a within-subjects experimental design, 102 undergraduate participants (n=83, 81.4% female; mean age 20.87, SD 1.89) completed a …
Digital Grief Technology To Support Bereavement: A Systematic Review Of Potential Benefits And Risks, Xun Ci Soh, Adalia Yin Hui Goh, Paye Shin Koh, Andree Hartanto
Digital Grief Technology To Support Bereavement: A Systematic Review Of Potential Benefits And Risks, Xun Ci Soh, Adalia Yin Hui Goh, Paye Shin Koh, Andree Hartanto
Research Collection School of Social Sciences
Grief is a universal and inevitable experience. However, the way we support the bereaved is changing, especially in the digital era. This systematic review examines the potential benefits and risks associated with various digital grief technologies, including online grief support groups, generative AI chatbots, online memorials, online therapy interventions, virtual reality, and digitally reproduced visuals or audio of the deceased. A systematic search was conducted in seven databases, and 30 articles were included in the final review. Findings indicate that digital grief technologies offer several benefits, such as reductions in grief and depressive symptoms, enhanced social support, greater accessibility, and …
Understanding Critical Thinking In Generative Artificial Intelligence Use: Development, Validation, And Correlates Of The Critical Thinking In Ai Use Scale, Gabriel R. Lau, Wei Yan Low, Louis Tay, Ysabel Thereze Ang Guevarra, Dragon Gašević, Andree Hartanto
Understanding Critical Thinking In Generative Artificial Intelligence Use: Development, Validation, And Correlates Of The Critical Thinking In Ai Use Scale, Gabriel R. Lau, Wei Yan Low, Louis Tay, Ysabel Thereze Ang Guevarra, Dragon Gašević, Andree Hartanto
Research Collection School of Social Sciences
Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI outputs rather than accept them at face value. The present research conceptualises critical thinking in AI use as a dispositional tendency to verify the source and content of AI-generated information, to understand how models work and where they fail, and to reflect on the broader implications of relying on AI. Across six studies ( N = 1341), we developed and validated the 13-item critical thinking in AI use scale and mapped its nomological network. …
Patterns In Awareness And Uptake Of The Lpa Among Older Adults In Singapore, Paulin Tay Straughan, Emi Loh, Cassandra Ng, Yi Wen (Chen Yiwen) Tan, Wensi Lim
Patterns In Awareness And Uptake Of The Lpa Among Older Adults In Singapore, Paulin Tay Straughan, Emi Loh, Cassandra Ng, Yi Wen (Chen Yiwen) Tan, Wensi Lim
Research Collection School of Social Sciences
Findings from a survey with 7910 Singapore Life Panel members reveal that awareness of the Lasting Power of Attorney (LPA) was relatively high, but actual uptake remained low, with only one in three having made an LPA and pronounced gaps among lower socioeconomic groups. Despite this, attitudes towards LPA were generally positive, with perceived benefits centered on peace of mind and reducing burdens on family members. A major barrier to adoption is the misconception that children automatically have the legal authority to make decisions if parents lose mental capacity. Structural and psychological barriers, including cost, complexity, and limited guidance, further …
Impending-Exit Period And Employee Performance: Rethinking Human Capital Disruption, Yea Hee Ko, Charlie O. Trevor
Impending-Exit Period And Employee Performance: Rethinking Human Capital Disruption, Yea Hee Ko, Charlie O. Trevor
Research Collection Lee Kong Chian School Of Business
The well-established disruptive effects of employee turnover on firms have typically been attributed to post-exit dynamics, such as losses of human and social capital. Little is known, however, about leavers’ pre-exit job performance, which, if declining in sufficient magnitude as separation nears, may drive some of this disruption. Drawing on career concerns research, we argue that impending exit weakens incentives to improve future career prospects at the firm, thereby resulting in reduced performance. Our analysis reveals strikingly large negative relationships, as job performance during the impending-exit period declines by 53.9% and 79.8% across two performance measures. Additionally, we predict and …
The Robin Hood Effect In Transgressions Against Firms: How Political Ideology Shapes Consumer Justifications, Jason D. Lin, Anat Keinan, Hannah H. Chang, Donald R. Lehmann
The Robin Hood Effect In Transgressions Against Firms: How Political Ideology Shapes Consumer Justifications, Jason D. Lin, Anat Keinan, Hannah H. Chang, Donald R. Lehmann
Research Collection Lee Kong Chian School Of Business
Consumer transgressions against firms involve moral violations in which consumers take advantage of loopholes in companies’ return and satisfaction-guaranteed policies or the lack of strict enforcement against password sharing, piracy, shoplifting, wardrobing, coupon stacking, promotion abuse, and fraud. Drawing on the timeless tale of Robin Hood, the legendary outlaw who stands up against injustice, the authors demonstrate that consumers use a Robin Hood justification to legitimize their transgressions against firms. Building on moral foundations theory, this research demonstrates that political ideology impacts consumers’ transgression behavior and the perceived morality of these practices. Six studies show that under certain conditions in …
Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng
Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng
Research Collection Lee Kong Chian School Of Business
Existing research on AI cultural biases predominantly focuses on Western models, overlooking critical gaps in non-Western models. We conduct a comparative analysis of AI models – ChatGPT (U.S. developed) and ErnieBot (China developed) – from different cultures to investigate how corresponding cultural biases manifest in their outputs. Additionally, we examine how cultural alignment between human users and AI models impacts their collaborative creative performance and the underlying psychological mechanisms. In Study 1, multi-choice prompt with zero-shot technique was used to evaluate cultural biases in four widely used AI models – ChatGPT-3.5/4, ErnieBot-3.5/4 – comparing their responses to established cultural psychometric …
Super Lidar Intensity For Robotic Perception, Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Chengzhong Xu, Hui Kong
Super Lidar Intensity For Robotic Perception, Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Chengzhong Xu, Hui Kong
Research Collection School Of Computing and Information Systems
Conventionally, human intuition defines vision as a modality of passive optical sensing, relying on ambient light to perceive the environment. However, active optical sensing, which involves emitting and receiving signals, offers unique advantages by capturing both radiometric and geometric properties of the environment, independent of external illumination conditions. This work focuses on advancing active optical sensing using Light Detection and Ranging (LiDAR), which captures intensity data, enabling the estimation of surface reflectance that remains invariant under varying illumination. Such properties are crucial for robotic perception tasks, including detection, recognition, segmentation, and Simultaneous Localization and Mapping (SLAM). A key challenge with …
Learning Feature Inversion For Multi-Class Anomaly Detection Under General-Purpose Coco-Ad Benchmark, Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao
Learning Feature Inversion For Multi-Class Anomaly Detection Under General-Purpose Coco-Ad Benchmark, Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao
Research Collection School Of Computing and Information Systems
Anomaly detection (AD) is often focused on detecting anomaly areas for industrial quality inspection and medical lesion examination. However, due to the specific scenario targets, the data scale for AD is relatively small, and evaluation metrics are still deficient compared to classic vision tasks, such as object detection and semantic segmentation. To fill these gaps, this work first constructs a large-scale and general-purpose COCO-AD dataset by extending COCO to the AD field. This enables fair evaluation and sustainable development for different methods on this challenging benchmark. Moreover, current metrics such as AU-ROC have nearly reached saturation on simple datasets, which …
Can Financial Literacy Enhance Esg Disclosures?, Xiaoran Jia, Kiridaran Kanagaretnam, Kiat Bee Jimmy Lee, Chee Yeow Lim
Can Financial Literacy Enhance Esg Disclosures?, Xiaoran Jia, Kiridaran Kanagaretnam, Kiat Bee Jimmy Lee, Chee Yeow Lim
Research Collection School Of Accountancy
Using an international sample of firms and two country-level measures of financial literacy, we find robust evidence of a positive relation between financial literacy and firms' Environmental, Social and Governance (ESG) disclosures. In cross-sectional analyses, we find that the effect of financial literacy in enhancing ESG disclosures is more prominent in poorer information environments, weaker legal institutions and weaker ESG reporting environments. Lastly, we find that financial literacy also enhances ESG performance. Our study contributes to and extends the literature by providing strong evidence that citizens' financial literacy enhances firms' ESG disclosure and the associated ESG performance.
Corporate Response To The Black Lives Matter Movement: Determinants Of Speaking Out In Support Of Social Causes, A. J. Yuan Chen, Patricia M. Dechow, Samuel T. Tan
Corporate Response To The Black Lives Matter Movement: Determinants Of Speaking Out In Support Of Social Causes, A. J. Yuan Chen, Patricia M. Dechow, Samuel T. Tan
Research Collection School Of Accountancy
We document that firms vary in their timeliness of support for the Black Lives Matter (BLM) movement following the death of George Floyd in May 2020, and that timeliness is an indicator of authenticity. We predict that firms that speak out quickly in support of BLM (via Twitter or their websites) have made more investments in diversity and inclusion, relative to firms that speak out slowly (via conference calls or annual reports) or that remain silent. Consistent with this prediction, quick-disclosing firms have greater workforce diversity, have boards with greater ethnic diversity, and are more likely to tie executive compensation …
Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding
Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding
Research Collection School Of Computing and Information Systems
Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …
Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard
Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard
Research Collection School Of Computing and Information Systems
Typically, a firm's objectives include establishing consumer confidence, preserving its brand image, and developing a profitable business strategy. Consumers now place greater emphasis on the sustainability and transparency of their purchases. Given environmental and economic limitations, firms are often compelled to implement sustainable production methods. This is especially a struggle for small- and medium-sized enterprises (SMEs) with new technology, as it can increase their risk of failure. This has led to a problem for consumers, who must cross-check the sustainability-related claims of the firms they buy from. This is challenging because of limited process trace data and restricted enforcement capabilities. …
From Spatial To Actions: Grounding Vision-Language-Action Model In Spatial Foundation Priors, Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou
From Spatial To Actions: Grounding Vision-Language-Action Model In Spatial Foundation Priors, Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou
Research Collection School Of Computing and Information Systems
Existing vision-language-action (VLA) models act in 3D real-world but are typically built on 2D encoders, leaving a spatial reasoning gap that limits generalization and adaptability. Recent 3D integration techniques for VLAs either require specialized sensors and transfer poorly across modalities, or inject weak cues that lack geometry and degrade vision-language alignment. In this work, we introduce FALCON (From Spatial to Action), a novel paradigm that injects rich 3D spatial tokens into the action head. FALCON leverages spatial foundation models to deliver strong geometric priors from RGB alone, and includes an Embodied Spatial Model that can optionally fuse depth, or pose …
Thinktank-Me: A Multi-Expert Framework For Middle East Event Forecasting, Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua
Thinktank-Me: A Multi-Expert Framework For Middle East Event Forecasting, Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua
Research Collection School Of Computing and Information Systems
Event forecasting is inherently influenced by multifaceted considerations, including international relations, regional historical dynamics, and cultural contexts. However, existing LLM-based approaches employ single-model architectures that generate predictions along a singular explicit trajectory, constraining their ability to capture diverse geopolitical nuances across complex regional contexts. To address this limitation, we introduce ThinkTank-ME, a novel Think Tank framework for Middle East event forecasting that emulates collaborative expert analysis in real-world strategic decision-making. To facilitate expert specialization and rigorous evaluation, we construct POLECAT-FOR-ME, a Middle East–focused event forecasting benchmark. Experimental results demonstrate the superiority of multi-expert collaboration in handling complex temporal geopolitical forecasting …
On Autopilot? An Empirical Study Of Human-Ai Teaming And Review Practices In Open Source, Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, Christoph Treude
On Autopilot? An Empirical Study Of Human-Ai Teaming And Review Practices In Open Source, Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, Christoph Treude
Research Collection School Of Computing and Information Systems
Large Language Models (LLMs) increasingly automate software engineering tasks. While recent studies highlight the accelerated adoption of “AI as a teammate” in Open Source Software (OSS), developer interaction patterns remain under-explored. In this work, we investigated project-level guidelines and developers’ interactions with AI-assisted pull requests (PRs) by expanding the AIDev dataset to include finer-grained contributor code ownership and a comparative baseline of human-created PRs. We found that over 67.5% of AI-co-authored PRs originate from contributors without prior code ownership. Despite this, the majority of repositories lack guidelines for AI-coding agent usage. Notably, we observed a distinct interaction pattern: AI-co-authored PRs …
Architecture-Agnostic Test-Time Adaptation Via Backprop-Free Embedding Alignment, Xiao Ma, Young D. Kwon, Pan Zhou, Dong Ma
Architecture-Agnostic Test-Time Adaptation Via Backprop-Free Embedding Alignment, Xiao Ma, Young D. Kwon, Pan Zhou, Dong Ma
PhD Student’s Publications Collection
Test-Time Adaptation (TTA) adapts a deployed model during online inference to mitigate the impact of domain shift. While achieving strong accuracy, most existing methods rely on backpropagation, which is memory and computation intensive, making them unsuitable for resource-constrained devices. Recent attempts to reduce this overhead often suffer from high latency or are tied to specific architectures such as ViT-only or CNN-only. In this work, we revisit domain shift from an embedding perspective. Our analysis reveals that domain shift induces three distinct structural changes in the embedding space: translation (mean shift), scaling (variance shift), and rotation (covariance shift). Based on this …
Measuring Research Impact At Singapore Management University, Pin Pin Yeo
Measuring Research Impact At Singapore Management University, Pin Pin Yeo
Research Collection Library
Describes the support and services provided by SMU Libraries to the institution for research assessment.
The Impact Imperative: Building Universities And Institutions That Demonstrably Matter, Scott Fritzen
The Impact Imperative: Building Universities And Institutions That Demonstrably Matter, Scott Fritzen
Asian Management Insights
The university has never been more powerful— or more embattled. Research output has expanded sharply. Global collaborations span continents. Elite institutions, once concentrated in the West, have taken root across Asia, the Middle East and beyond. Universities anchor innovation districts, train professionals and generate discoveries that shape modern life. By the conventional measures long used by the academy to evaluate itself—publications, rankings, enrolments, revenue—higher education, taken as a whole, is thriving in many contexts.
From Index To Impact: How Vietnam’S Provincial Competitiveness Index Shapes Governance, Investment And Reform, Edmund J. Malesky
From Index To Impact: How Vietnam’S Provincial Competitiveness Index Shapes Governance, Investment And Reform, Edmund J. Malesky
Asian Management Insights
Why business leaders should watch Vietnam’s subnational reform experiment closely.
The Cost Of Silence, Sabine Benoit
The Cost Of Silence, Sabine Benoit
Asian Management Insights
From wellness myths to financial hype, the real risk is not just misinformation—it’s misinformed decision-making. When confidence becomes a proxy for credibility, strategies and sensibility drift. Here’s how leaders can raise the evidence bar and institutionalise independent challenge.
Structuring The Notional Imprisonment Period When The Accused Is Unfit To Plead – Abdul Ghufran Bin Abdul Wahid V Public Prosecutor, Abhishek Behera, Aaron Yoong
Structuring The Notional Imprisonment Period When The Accused Is Unfit To Plead – Abdul Ghufran Bin Abdul Wahid V Public Prosecutor, Abhishek Behera, Aaron Yoong
Research Collection Yong Pung How School Of Law
This case comment examines how Abdul Ghufran bin Abdul Wahid v Public Prosecutor [2025] 3 SLR 1572 brings clarity to Singapore’s “fitness to plead” regime by structuring the nominal imprisonment period (“NIP”) as a principled, non-punitive ceiling on confinement for unfit accused persons. It explains the General Division of the High Court’s four-step framework, the elevation of prevention over rehabilitation at the NIP stage, and the constrained role of mental disorders in adjusting the provisional term. It further highlights the decisive influence of psychiatric evidence and explores how the framework mediates between consistency, individualised justice, and public protection.