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Articles 2311 - 2340 of 8706
Full-Text Articles in Entire DC Network
Linear Algebra For Computer Science, M. Thulasidas
Linear Algebra For Computer Science, M. Thulasidas
Research Collection School Of Computing and Information Systems
This textbook introduces the essential concepts and practice of Linear Algebra to the undergraduate student of computer science. The focus of this book is on the elegance and beauty of the numerical techniques and algorithms originating from Linear Algebra. As a practical handbook for computer and data scientists, LA4CS restricts itself mostly to real fields and tractable discourses, rather than deep and theoretical mathematics.
The Importance Of Ethics In The Practice Of Mediation, Dorcas Quek Anderson
The Importance Of Ethics In The Practice Of Mediation, Dorcas Quek Anderson
Research Collection Yong Pung How School Of Law
What is the predominant function of ethics for the mediation profession in Singapore? Do ethical principles assume greater significance in light of increasing institutionalisation of mediation programmes in Singapore? What can mediators, mediation advocates and mediation institutions do to ensure consistent adherence to ethical standards? These and other related issues were discussed in a webinar organised by the Singapore Academy of Law in May 2021 featuring Lim Tat, Chuan Wee Meng and this author as panellists, together with See Chern Yang as moderator. This article highlights the notable discussion points of the webinar, including the significance of mediation ethics, common …
Research On The Impact Of Social Responsibility Of Chinese Real Estate Enterprises On Their Competitiveness, Yajiang Xing
Research On The Impact Of Social Responsibility Of Chinese Real Estate Enterprises On Their Competitiveness, Yajiang Xing
Dissertations and Theses Collection (Open Access)
The real estate industry has become the pillar industry of China's national economy and should perform more social responsibilities. Then how to guide enterprises to perform relevant social responsibilities, how to make full use of social responsibilities to enhance enterprise competitiveness, and how to measure the aspects in which corporate social responsibility promotes the development of competitiveness have aroused the discussion and research of the government and relevant academic circles.Therefore, this paper first puts forward a series of assumptions from the perspective of stakeholders.Secondly, establish the evaluation index system of social responsibility and social competitiveness of real estate enterprises through …
The Pandemic As Political Opportunity: Jokowi’S Indonesia In The Time Of Covid-19, Charlotte Setijadi
The Pandemic As Political Opportunity: Jokowi’S Indonesia In The Time Of Covid-19, Charlotte Setijadi
Research Collection School of Social Sciences
In mid-2021, the Delta strain of the Covid-19 virus caused a second wave of transmissions and deaths in Indonesia at a scale much greater than what was seen in 2020. In this paper, I examine what the Indonesian government’s handling of the Covid crisis in 2021 reveals about the priorities of President Joko Widodo (Jokowi), as well as his political agenda and attitude towards the country’s democracy, as he strives to cement his legacy. I argue that, while devastating, the Covid-19 pandemic has given Jokowi the opportunity to push through long-planned economic and political reforms. Furthermore, I contend that, under …
Does Bedtime Music Listening Improve Subjective Sleep Quality And Next-Morning Well-Being In Young Adults? A Randomized Cross-Over Trial, Nadyana M. Majeed, Verity Y. Q. Lua, Jun Sen Chong, Zoey Lew, Andree Hartanto
Does Bedtime Music Listening Improve Subjective Sleep Quality And Next-Morning Well-Being In Young Adults? A Randomized Cross-Over Trial, Nadyana M. Majeed, Verity Y. Q. Lua, Jun Sen Chong, Zoey Lew, Andree Hartanto
Research Collection School of Social Sciences
Previous research has found that young adults exhibit patterns of poor sleep and that poor sleep is associated with a host of negative psychological consequences. One potential intervention to improve sleep quality is listening to music at bedtime. Although there exist previous works investigating the efficacy of listening to music as a form of sleep aid, these works have been hindered by statistically weak designs, a lack of systematic investigation of critical characteristics of music that may affect its efficacy, and limited generalizability. In light of the limitations in the existing literature, a 15-day randomized cross-over trial was carried out …
Cross-Cryptocurrency Return Predictability, Li Guo, Bo Sang, Jun Tu, Yu Wang
Cross-Cryptocurrency Return Predictability, Li Guo, Bo Sang, Jun Tu, Yu Wang
Research Collection Lee Kong Chian School Of Business
Using the minute-frequency data on Binance, we find strong evidence of cross-cryptocurrency return predictability. The lagged returns of other cryptocurrencies serve as significant predictors of focal cryptocurrencies up to ten minutes, in line with slow information diffusion. The results are robust across various methods, including the adaptive LASSO and principal component analysis. Furthermore, a long-short portfolio formed on the past returns of cryptocurrencies can generate a daily return of 2.16% out-of-sample after accounting for transaction costs, indicating sizable economic value of cross-cryptocurrency return predictability.
The Curse Of The Original: How And When Heritage Branding Reduces Consumer Evaluations Of Enhanced Products, Minju Han, George E. Newman, Rosanna K. Smith, Ravi Dhar
The Curse Of The Original: How And When Heritage Branding Reduces Consumer Evaluations Of Enhanced Products, Minju Han, George E. Newman, Rosanna K. Smith, Ravi Dhar
Research Collection Lee Kong Chian School Of Business
Heritage branding is a common marketing strategy that has been shown to increase product appeal. Here, we find that certain forms of heritage branding can also have potentially negative consequences by leading consumers to react negatively to changes made to the brand’s original, flagship product—even if those changes objectively improve it. We demonstrate that when firms engage in heritage branding that emphasizes a brand’s longevity, consumers evaluate enhanced products less favorably than the original versions of those same products due to decreased perceptions of continuity authenticity. We demonstrate this effect across a variety of product domains (e.g., cosmetics, cookware, and …
Executive Tweets, Richard M.Crowley, Wenli Huang, Hai Lu
Executive Tweets, Richard M.Crowley, Wenli Huang, Hai Lu
Research Collection School Of Accountancy
We explore the tweeting behavior of S&P 1500 firms’ executives (CEOs and CFOs) and its market consequences during the period of 2011 to 2018. We document that executives tweet financial information related to their firms and time these tweets to firms’ major events, and that investors respond to executive tweets in addition to firm tweets. Using the latest machine learning techniques, we develop an innovative construct measuring the content similarity between executive tweets and firm tweets. We use this measure to disentangle whether the market reaction comes from new information or trust. We show evidence consistent with the view that …
Setiya On Consequentialism And Constraints, Ryan Cox, Matthew Hammerton
Setiya On Consequentialism And Constraints, Ryan Cox, Matthew Hammerton
Research Collection School of Social Sciences
It is widely held that agent-neutral consequentialism is incompatible with deontic constraints. Recently, Kieran Setiya has challenged this orthodoxy by presenting a form of agent-neutral consequentialism that he claims can capture deontic constraints. In this reply, we argue against Setiya's proposal by pointing to features of deontic constraints that his account fails to capture.
Development And Validation Of A Lifestyle Behavior Tool In Overweight And Obese Women Through Qualitative And Quantitative Approaches, Chee Wai Ku, Loo Rachel, Cheryl Lim, Jacinth Jia Xin Tan, Joey Ho, Wee Meng Han, Xiang Wen Ng, Jerry Chan, See Ling Loy
Development And Validation Of A Lifestyle Behavior Tool In Overweight And Obese Women Through Qualitative And Quantitative Approaches, Chee Wai Ku, Loo Rachel, Cheryl Lim, Jacinth Jia Xin Tan, Joey Ho, Wee Meng Han, Xiang Wen Ng, Jerry Chan, See Ling Loy
Research Collection School of Social Sciences
There is a paucity of effective intervention tools for overweight/obese women to assess, guide and monitor their eating behavior. This study aimed to develop a lifestyle intervention tool, assess its acceptability and usefulness, and verify its construct validity in overweight/obese women. The 6P tool (Portion, Proportion, Pleasure, Phase, Physicality, Psychology) was developed and 15 women with a body mass index (BMI) ≥ 25 kg/m2 were interviewed to assess its perceived acceptability and usefulness. Subsequently, the revised 6P tool was tested in 46 women with a BMI ≥ 25 kg/m2. The Three-Factor Eating Questionnaire (TFEQ), International Physical Activity Questionnaire-Short (IPAQ), and …
Smartphone Addiction And Checking Behavior Predict Aggression: A Structural Equation Modeling Approach, Shuna Shiann Khoo, Hwajin Yang
Smartphone Addiction And Checking Behavior Predict Aggression: A Structural Equation Modeling Approach, Shuna Shiann Khoo, Hwajin Yang
Research Collection School of Social Sciences
Despite the potential risks of excessive smartphone use for maladaptive outcomes, the link between smartphone use and aggression remains less understood. Furthermore, prior findings are inconclusive due to a narrow focus on limited aspects of smartphone use (e.g., screen time) and reliance on self-reported assessments of smartphone use. Therefore, using objective measures of smartphone use, we sought to examine the associations between several key indices of smartphone use—screen time, checking behaviors, and addictive tendency—and multifaceted aggression (i.e., confrontation, anger, and hostility). In a cross-sectional study, we administered a series of questionnaires assessing aggressive tendencies (i.e., The Aggression Questionnaire) and various …
Follow The Smoke: The Pollution Haven Effect On Global Sourcing, Heather Berry, Aseem Kaul, Narae Lee
Follow The Smoke: The Pollution Haven Effect On Global Sourcing, Heather Berry, Aseem Kaul, Narae Lee
Research Collection Lee Kong Chian School Of Business
Research abstract: We examine whether and how foreign environmental standards influence global sourcing decisions. Taking a question-driven approach, we find a negative association between the stringency of a country's environmental standards and its share in US imports for 82 manufacturing industries across 77 countries between 2006 and 2016. This pollution haven effect holds not only for sourcing from owned foreign operations (offshore integration), but also for sourcing from unrelated third parties abroad (offshore outsourcing), and is stronger in industries with high toxic emissions and low technological intensity. These results are robust across alternative measures of environmental stringency and to using …
Harnessing Digitalization For Sustainable Economic Development: Insights For Asia, John Beirne, David Fernandez
Harnessing Digitalization For Sustainable Economic Development: Insights For Asia, John Beirne, David Fernandez
Research Collection Lee Kong Chian School Of Business
Digitalization has helped to transform economies by enhancing competitiveness and productivity across a wide range of sectors. The use of big data and the rise of online platforms have accelerated this process over the past decade. In addition, the adoption of digital solutions in the face of social distancing and lockdown measures introduced due to the coronavirus disease 2019 (COVID-19) pandemic has been integral to the economic recovery process. The shift to a digitalized economy has also reduced barriers to market entry for firms, lowered inequality, and led to a promotion of social and economic inclusion. Advances in digital technology …
A Practical Guide To Harnessing The Har Volatility Model, Adam Clements, Daniel P. A. Preve
A Practical Guide To Harnessing The Har Volatility Model, Adam Clements, Daniel P. A. Preve
Research Collection School Of Economics
The standard heterogeneous autoregressive (HAR) model is perhaps the most popular benchmark model for forecasting return volatility. It is often estimated using raw realized variance (RV) and ordinary least squares (OLS). However, given the stylized facts of RV and well-known properties of OLS, this combination should be far from ideal. The aim of this paper is to investigate how the predictive accuracy of the HAR model depends on the choice of estimator, transformation, or combination scheme made by the market practitioner. In an out-of-sample study, covering the S&P 500 index and 26 frequently traded NYSE stocks, it is found that …
Economic Forecasting In An Epidemic: A Break From The Past?, Hwee Kwan Chow, Keen Meng Choy
Economic Forecasting In An Epidemic: A Break From The Past?, Hwee Kwan Chow, Keen Meng Choy
Research Collection School Of Economics
This paper aims to investigate whether the predictive ability and behaviour of professional forecasters are different during the Covid-19 epidemic as compared with the global financial crisis of 2008 and normal times. To this end, we utilise a survey of professional forecasters in Singapore collated by the central bank to analyse the forecasting record for GDP growth and CPI inflation. We first examine the point forecasts to document the extent of forecast failure in the pandemic crisis and test for behavioural explanations of the possible sources of forecast errors such as leader following and herding behaviour. Using percentile-based summary measures …
Pitfalls In Bootstrapping Spurious Regression, Peter C. B. Phillips
Pitfalls In Bootstrapping Spurious Regression, Peter C. B. Phillips
Research Collection School Of Economics
The bootstrap is shown to be inconsistent in spurious regression. The failure of the bootstrap is spectacular in that the bootstrap effectively turns a spurious regression into a cointegrating regression. In particular, the serial correlation coefficient of the residuals in the bootstrap regression does not converge to unity, so the bootstrap is not even first order consistent. The block bootstrap serial correlation coefficient does converge to unity and is therefore first order consistent, but has a slower rate of convergence and a different limit distribution from that of the sample data serial correlation coefficient. The analysis covers spurious regressions involving …
Vireo @ Trecvid 2021 Ad-Hoc Video Search, Jiaxin Wu, Phuong Anh Nguyen, Chong-Wah Ngo
Vireo @ Trecvid 2021 Ad-Hoc Video Search, Jiaxin Wu, Phuong Anh Nguyen, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
In this paper, we summarize our submitted runs and results for Ad-hoc Video Search (AVS) task at TRECVid 2020
Scope Of Duty, Counterfactual Analysis And Birth Defects: The Challenging Case Of Khan V Meadows, Kee Yang Low, Jordan Ting Xuan Chia
Scope Of Duty, Counterfactual Analysis And Birth Defects: The Challenging Case Of Khan V Meadows, Kee Yang Low, Jordan Ting Xuan Chia
Research Collection Yong Pung How School Of Law
The tort of negligence has evolved into a sophisticated and calibrated framework. Even then, aspects of this elaborate structure are constantly being tweaked and, sometimes, challenged. Most recently, in the UKSC decision of Khan v Meadows, the spotlight is thrown on scope of duty analysis against the challenging backdrop of medical negligence and unwanted birth defects. The judgment of the majority suggests there is more that needs to be considered at the stage of damages, and that the sequential framework of negligence may benefit from some rearrangement.
'Good Administration' And The 'Good': The Normative Foundation For The Protection Of Legitimate Expectations, Wei Yao, Kenny Chng
'Good Administration' And The 'Good': The Normative Foundation For The Protection Of Legitimate Expectations, Wei Yao, Kenny Chng
Research Collection Yong Pung How School Of Law
An idea that has gained significant traction in both case law and academic commentary as a justification for the protection of legitimate expectations is the concept of ‘good administration’. Going beyond the usual criticisms of the concept’s ambiguity, this article aims to highlight an additional set of difficulties with the invocation of ‘good administration’ as the normative justification for the doctrine. This article’s central argument is that the concept of ‘good’ invoked by the idea of ‘good administration’ inevitably falls to be substantiated by a particular conception of what the ‘good’ requires as a matter of political philosophy. And given …
Russian Logics And The Culture Of Impossible: Part 1. Recovering Intelligentsia Logics, Ksenia Tatarchenko, Anya Yermakova, Liesbeth De Mol
Russian Logics And The Culture Of Impossible: Part 1. Recovering Intelligentsia Logics, Ksenia Tatarchenko, Anya Yermakova, Liesbeth De Mol
Research Collection College of Integrative Studies
This article reinterprets algorithmic rationality by looking at the interaction between mathematical logic, mechanized reasoning, and, later, computing in the Russian Imperial and Soviet contexts to offer a history of the algorithm as a mathematical object bridging the inner and outer worlds, a humanistic vision that we, following logician Vladimir Uspensky, call the “culture of the impossible.” We unfold the deep roots of this vision as embodied in scientific intelligentsia. In Part I, we examine continuities between the turn-of-the-twentieth-century discussions of poznaniye—an epistemic orientation towards the process of knowledge acquisition—and the postwar rise of the Soviet school of mathematical logic. …
Reconceptualising Fiduciary Regulation In Actual Conflicts, Man Yip, Kelvin Low
Reconceptualising Fiduciary Regulation In Actual Conflicts, Man Yip, Kelvin Low
Research Collection Yong Pung How School Of Law
Tis article reviews the fiduciary duty to avoid actual conflicts. It argues that the duty to avoid actual conflicts adds limited substantive value to fiduciary accountability. Its present form has also contributed to widespread misconception of what should be expected of an unfortunate fiduciary who finds themselves in such a position. In this respect, we propose that many of the modern scenarios involving actual conflicts of duties or conflicts of duties and interests are better analysed not in terms of conflict avoidance but in terms of conflict management. Our analysis paves the way for thoughtfully working out what the fiduciaries’ …
Learning To Iteratively Solve Routing Problems With Dual-Aspect Collaborative Transformer, Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Learning To Iteratively Solve Routing Problems With Dual-Aspect Collaborative Transformer, Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang
Research Collection School Of Computing and Information Systems
Recently, Transformer has become a prevailing deep architecture for solving vehicle routing problems (VRPs). However, it is less effective in learning improvement models for VRP because its positional encoding (PE) method is not suitable in representing VRP solutions. This paper presents a novel Dual-Aspect Collaborative Transformer (DACT) to learn embeddings for the node and positional features separately, instead of fusing them together as done in existing ones, so as to avoid potential noises and incompatible correlations. Moreover, the positional features are embedded through a novel cyclic positional encoding (CPE) method to allow Transformer to effectively capture the circularity and symmetry …
Infinite Time Horizon Safety Of Bayesian Neural Networks, Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger
Infinite Time Horizon Safety Of Bayesian Neural Networks, Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger
Research Collection School Of Computing and Information Systems
Bayesian neural networks (BNNs) place distributions over the weights of a neural network to model uncertainty in the data and the network’s prediction. We consider the problem of verifying safety when running a Bayesian neural network policy in a feedback loop with infinite time horizon systems. Compared to the existing sampling-based approaches, which are inapplicable to the infinite time horizon setting, we train a separate deterministic neural network that serves as an infinite time horizon safety certificate. In particular, we show that the certificate network guarantees the safety of the system over a subset of the BNN weight posterior’s support. …
Verification Assisted Gas Reduction For Smart Contracts, Bo Gao, Siyuan Shen, Ling Shi, Jiaying Li, Jun Sun, Lei Bu
Verification Assisted Gas Reduction For Smart Contracts, Bo Gao, Siyuan Shen, Ling Shi, Jiaying Li, Jun Sun, Lei Bu
Research Collection School Of Computing and Information Systems
Smart contracts are computerized transaction protocols built on top of blockchain networks. Users are charged with fees, a.k.a. gas in Ethereum, when they create, deploy or execute smart contracts. Since smart contracts may contain vulnerabilities which may result in huge financial loss, developers and smart contract compilers often insert codes for security checks. The trouble is that those codes consume gas every time they are executed. Many of the inserted codes are however redundant. In this work, we present sOptimize, a tool that optimizes smart contract gas consumption automatically without compromising functionality or security. sOptimize works on smart contract bytecode, …
Fine-Grained Generalization Analysis Of Inductive Matrix Completion, Antoine Ledent, Rodrigo Alves, Yunwen Lei, Marius Kloft
Fine-Grained Generalization Analysis Of Inductive Matrix Completion, Antoine Ledent, Rodrigo Alves, Yunwen Lei, Marius Kloft
Research Collection School Of Computing and Information Systems
In this paper, we bridge the gap between the state-of-the-art theoretical results for matrix completion with the nuclear norm and their equivalent in \textit{inductive matrix completion}: (1) In the distribution-free setting, we prove bounds improving the previously best scaling of \widetilde{O}(rd2) to \widetilde{O}(d3/2√r), where d is the dimension of the side information and rr is the rank. (2) We introduce the (smoothed) \textit{adjusted trace-norm minimization} strategy, an inductive analogue of the weighted trace norm, for which we show guarantees of the order \widetilde{O}(dr) under arbitrary sampling. In the inductive case, a similar rate was previously achieved only under uniform sampling …
Functional Signatures: New Definition And Constructions, Qingwen Guo, Qiong Huang, Sha Ma, Meiyan Xiao, Guomin Yang, Willy Susilo
Functional Signatures: New Definition And Constructions, Qingwen Guo, Qiong Huang, Sha Ma, Meiyan Xiao, Guomin Yang, Willy Susilo
Research Collection School Of Computing and Information Systems
Functional signatures (FS) enable a master authority to delegate its signing privilege to an assistant. Concretely, the master authority uses its secret key sk(F) to issue a signing key sk(f) for a designated function f is an element of F-FS and sends both f and sk(f) to the assistant E, which is then able to compute a signature sigma(f) with respect to pk(F) for a message y in the range of f. In this paper, we modify the syntax of FS slightly to support the application scenario where a certificate of authorization is necessary. Compared with the original FS, our …
Deriving Invariant Checkers For Critical Infrastructure Using Axiomatic Design Principles, Cheah Huei Yoong, Venkata Reddy Palleti, Rajib Ranjan Maiti, Arlindo Silva, Christopher M. Poskitt
Deriving Invariant Checkers For Critical Infrastructure Using Axiomatic Design Principles, Cheah Huei Yoong, Venkata Reddy Palleti, Rajib Ranjan Maiti, Arlindo Silva, Christopher M. Poskitt
Research Collection School Of Computing and Information Systems
Cyber-physical systems (CPSs) in critical infrastructure face serious threats of attack, motivating research into a wide variety of defence mechanisms such as those that monitor for violations of invariants, i.e. logical properties over sensor and actuator states that should always be true. Many approaches for identifying invariants attempt to do so automatically, typically using data logs, but these can miss valid system properties if relevant behaviours are not well-represented in the data. Furthermore, as the CPS is already built, resolving any design flaws or weak points identified through this process is costly. In this paper, we propose a systematic …
Towards Balancing Vr Immersion And Bystander Awareness, Yoshiki Kudo, Anthony Tang, Kazuyuki Fujita, Isamu Endo, Kazuki Takashima, Yoshifumi Kitamura
Towards Balancing Vr Immersion And Bystander Awareness, Yoshiki Kudo, Anthony Tang, Kazuyuki Fujita, Isamu Endo, Kazuki Takashima, Yoshifumi Kitamura
Research Collection School Of Computing and Information Systems
Head-mounted displays (HMDs) increase immersion into virtual worlds. The problem is that this limits headset users' awareness of bystanders: headset users cannot attend to bystanders' presence and activities. We call this the HMD boundary. We explore how to make the HMD boundary permeable by comparing different ways of providing informal awareness cues to the headset user about bystanders. We adapted and implemented three visualization techniques (Avatar View, Radar and Presence++) that share bystanders' location and orientation with headset users. We conducted a hybrid user and simulation study with three different types of VR content (high, medium, low interactivity) with twenty …
On Aggregating Salaries Of Occupations From Job Post And Review Data, Chih-Chieh Hung, Ee-Peng Lim
On Aggregating Salaries Of Occupations From Job Post And Review Data, Chih-Chieh Hung, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
The popularity of job websites has significantly changed the way people learn about different occupations. Among the insights offered by these websites are the statistics of occupation salaries which are useful information for job seekers, career coaches, graduating students, and labor related government agencies. Such statistics include the distribution of job salaries of each occupation, such as average or quantiles. However, significant variability in salary (and review salary) can be found among jobs of the same occupation as we gather job post and review data from job websites. Such variability shows the existence of biases, including salary competitiveness in job …
Profiling Student Learning From Q&A Interactions In Online Discussion Forums, De Lin Ong, Kyong Jin Shim, Gottipati Swapna
Profiling Student Learning From Q&A Interactions In Online Discussion Forums, De Lin Ong, Kyong Jin Shim, Gottipati Swapna
Research Collection School Of Computing and Information Systems
The last two decades have witnessed an explosive growth in technology adoption in education. Proliferation of digital learning resources through Massive Open Online Courses (MOOCs) and social media platforms coupled with significantly lowered cost of learning has brought and is continuing to take education to every doorstep globally. In recent years, the use of asynchronous online discussion forums has become pervasive in tertiary education institutions. Online discussion forums are widely used for facilitating interactions both during the lesson time and beyond. Numerous prior studies have reported benefits of using online discussion forums including enhanced quality of learning, improved level of …