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T-Counter: Trustworthy And Efficient Cpu Resource Measurement Using Sgx In The Cloud, Chuntao Dong, Qingni Shen, Xuhua Ding, Daoqing Yu, Wu Luo, Pengfei Wu, Zhonghai Wu Jan 2023

T-Counter: Trustworthy And Efficient Cpu Resource Measurement Using Sgx In The Cloud, Chuntao Dong, Qingni Shen, Xuhua Ding, Daoqing Yu, Wu Luo, Pengfei Wu, Zhonghai Wu

Research Collection School Of Computing and Information Systems

As cloud services have become popular, and their adoption is growing, consumers are becoming more concerned about the cost of cloud services. Cloud Service Providers (CSPs) generally use a pay-per-use billing scheme in the cloud services model: consumers use resources as they needed and are billed for their resource usage. However, CSPs are untrusted and privileged; they have full control of the entire operating system (OS) and may tamper with bills to cheat consumers. So, how to provide a trusted solution that can keep track of and verify the consumers’ resource usage has been a challenging problem. In this paper, …


On Beauty, Scholarship, And Function: The Lessons From, And Importance Of, Legal History In The Development Of The Law Of Marine Insurance: [Review Of] Marine Insurance: A Legal History By Rob Merkin, Andrew B.L. Phang Jan 2023

On Beauty, Scholarship, And Function: The Lessons From, And Importance Of, Legal History In The Development Of The Law Of Marine Insurance: [Review Of] Marine Insurance: A Legal History By Rob Merkin, Andrew B.L. Phang

Research Collection Yong Pung How School Of Law

A few words of explanation at the outset are perhaps necessary – if nothing else than to explain the apparently cryptic title of this review essay. What in fact began as a somewhat straightforward review of a book on the history of marine insurance took a wholly unexpected turn and morphed into a general essay on the beauty, scholarship and function of legal history as viewed through the lenses of marine insurance. Indeed, in addition to being a magisterial two-volume history of the law of marine insurance, the present work demonstrates – in the most vividly possible way – at …


Commentaries On “Scale Use And Abuse: Toward Best Practices In The Deployment Of Scales”, Constantine S. Katsikeas, Shilpa Madan, C. Miguel Brendl, Bobby J. Calder, Donald R. Lehmann, Hans Baumgartner, Bert Weijters, Mo Wang, Chengquan Huang, Joel Huber Jan 2023

Commentaries On “Scale Use And Abuse: Toward Best Practices In The Deployment Of Scales”, Constantine S. Katsikeas, Shilpa Madan, C. Miguel Brendl, Bobby J. Calder, Donald R. Lehmann, Hans Baumgartner, Bert Weijters, Mo Wang, Chengquan Huang, Joel Huber

Research Collection Lee Kong Chian School Of Business

Five comments below provide strong and interesting perspectives on multi-item scale use. They define contexts and research areas where developed scales are valuable and where they are vulnerable. Katsikeas and Madan begin by taking a global perspective on scale use, demonstrating how the use and transferability of scales become even more problematic as researchers move across languages and cultures. They provide guidance for scale use that is particularly relevant to international marketing and marketing strategy research. Brendl and Calder acknowledge the use of well-formed scales as measured variables in psychological experiments, both as independent and dependent variables, but critique the …


Singapore Management University Report To Stakeholders 2021/2022, Singapore Management University Dec 2022

Singapore Management University Report To Stakeholders 2021/2022, Singapore Management University

Report to Stakeholders

The title of the annual report, “Our Evolving Garden”, points to how the University continues to develop and progress as “One SMU”. With the world now learning to live with COVID-19 as endemic, the last year has been one in which SMU students have been able to resume many of the activities that contribute towards providing a transformative education. For example, they were able to attend many more events on campus and to travel overseas for internships, exchanges, and community service projects. Faculty too were able to attend academic conferences and meet with educational partners, business connections and research associates …


Charting New Courses To Enter Foreign Markets: Conceptualization, Theoretical Framework, And Research Directions On Non-Traditional Entry Modes, Keith D. Brouthers, Liang Chen, Sali Li, Noman Shaheer Dec 2022

Charting New Courses To Enter Foreign Markets: Conceptualization, Theoretical Framework, And Research Directions On Non-Traditional Entry Modes, Keith D. Brouthers, Liang Chen, Sali Li, Noman Shaheer

Research Collection Lee Kong Chian School Of Business

Recent advances in digitalization and increasing integration of international markets are paving the way for a new generation of firms to use non-traditional entry modes that are largely marginalized in previous entry mode studies. While extant research revolves around the level of resource commitment and control in foreign activities, non-traditional modes are encapsulated by the extent of embeddedness required for exploring new and/or exploiting existing resources. In particular, we draw attention to four such categories of non-traditional entry modes the literature has touched on, i.e., capital access, innovation outposts, virtual presence, and the managed ecosystem. We explore the key attributes, …


The Impact Of Subscription Programs On Customer Purchases, Raghu Iyengar, Young-Hoon Park, Qi Yu Dec 2022

The Impact Of Subscription Programs On Customer Purchases, Raghu Iyengar, Young-Hoon Park, Qi Yu

Research Collection Lee Kong Chian School Of Business

Subscription programs have become increasingly popular among a wide variety of retailers and marketplace platforms. Subscription programs give members access to a set of exclusive benefits for a fixed fee upfront. In this paper, we examine the causal effect of a subscription program on customer behavior. To account for self-selection and identify the individual-level treatment effects, we combine a difference-in-differences approach with a generalized random forests procedure that matches each member of the subscription program with comparable non-members. We find subscription leads to a large increase in customer purchases. The effect of subscription is economically significant, persistent over time, and …


The Value Of Fiduciary Duties: Evidence From En Bloc Sales In Singapore, Jianfeng Hu, Kelvin F. K. Low, Wei Zhang Dec 2022

The Value Of Fiduciary Duties: Evidence From En Bloc Sales In Singapore, Jianfeng Hu, Kelvin F. K. Low, Wei Zhang

Research Collection Lee Kong Chian School Of Business

This paper examines the impact of fiduciary duties on collective asset sales in the case of owners acting as delegates for other owners, thereby potentially inducing conflicts of interests. Our identification strategy exploits a unique legal shock in Singapore, which established fiduciary duties in those transactions in the real estate market known colloquially as en bloc sales. The imposition of fiduciary duties caused the price premium of units sold via en bloc sales to increase over units ineligible for en bloc sale, as well as over units that, although eligible for en bloc sale, are sold individually. In addition, this …


Heat And Colonial Weather Science In The Straits Settlements C. 1820-1900, Fiona Williamson Dec 2022

Heat And Colonial Weather Science In The Straits Settlements C. 1820-1900, Fiona Williamson

Research Collection College of Integrative Studies

Historical explorations of tropical heat in a colonial context have largely focussed on two interconnected spheres: colonial perceptions of place and body or, the implications of heat on different bodies in medical thought and practice. This paper seeks to move the discussion towards a history of colonial scientific thought about heat as component of weather and of escalating nature-induced hazards, studied in the observatory or meteorological department. A central theme is to think about heat in its relationship to nascent meso-scale atmospheric knowledge, meteorological theory and, as a by-product of urbanisation and land-use change. In so doing, it conceptualises the …


Why Do Some Perfectionists Procrastinate? The Role Of Using Effective Time Management Strategies And Perceived Busyness In Perfectionism Outcomes, Xinyao Yu Dec 2022

Why Do Some Perfectionists Procrastinate? The Role Of Using Effective Time Management Strategies And Perceived Busyness In Perfectionism Outcomes, Xinyao Yu

Dissertations and Theses Collection (Open Access)

In many achievement-driven societies, maintaining productivity amidst an increasingly busy and stressful schedule has become a challenge for many people, particularly those with perfectionistic tendencies. Across two studies, the present research examined why some perfectionists are more prone to procrastination and tested the effectiveness of time management intervention in reducing their procrastination tendencies. Specifically, the current studies adopted a multidimensional approach to measure perfectionism as manifested in perfectionistic strivings and perfectionistic concerns. Study 1 showed that perfectionistic strivings negatively predicted procrastination, while perfectionistic concerns positively predicted procrastination, through the mediating effects of using effective time management strategies. Study 2 further …


Appearance-Preserved Portrait-To-Anime Translation Via Proxy-Guided Domain Adaptation, Wenpeng Xiao, Cheng Xu, Jiajie Mai, Xuemiao Xu, Yue Li, Chengze Li, Xueting Liu, Shengfeng He Dec 2022

Appearance-Preserved Portrait-To-Anime Translation Via Proxy-Guided Domain Adaptation, Wenpeng Xiao, Cheng Xu, Jiajie Mai, Xuemiao Xu, Yue Li, Chengze Li, Xueting Liu, Shengfeng He

Research Collection School Of Computing and Information Systems

Converting a human portrait to anime style is a desirable but challenging problem. Existing methods fail to resolve this problem due to the large inherent gap between two domains that cannot be overcome by a simple direct mapping. For this reason, these methods struggle to preserve the appearance features in the original photo. In this paper, we discover an intermediate domain, the coser portrait (portraits of humans costuming as anime characters), that helps bridge this gap. It alleviates the learning ambiguity and loosens the mapping difficulty in a progressive manner. Specifically, we start from learning the mapping between coser and …


Understanding Sentiment Through Context, Richard M.Crowley, M.H. Franco Wong Dec 2022

Understanding Sentiment Through Context, Richard M.Crowley, M.H. Franco Wong

Research Collection School Of Accountancy

We examine whether empirical results using text-based sentiment of U.S. annual reports depend on the underlying context, within documents, from which sentiment is measured. We construct a clause-level measure of context, showing that sentiment is driven by many different contexts and that positive and negative sentiment are driven by different contexts. We then construct context-level sentiment measures and examine whether sentiment works as expected at the context-level across four prediction problems. Our results demonstrate that document-level sentiment exhibits significant noise in prediction and suggest that document-level aggregation of sentiment leads to missed empirical nuances. The contexts driving sentiment results vary …


Employees’ Job Positions, Psychological Ownership, And Commitment To Change, Bo Zhang Dec 2022

Employees’ Job Positions, Psychological Ownership, And Commitment To Change, Bo Zhang

Dissertations and Theses Collection (Open Access)

Organisational change is crucial to the development of enterprises. However, when enterprises are implementing major changes, there are great differences in the attitudes and behaviours of employees in different job positions toward changes. Research in this area is insufficient. Therefore, this dissertation investigates the problem of employee commitment amid enterprises’ organisational changes. This dissertation is committed to determining why employees at different levels and with different roles have different degrees of commitment to change and confirming the role of job positions in affecting employees’ psychological ownership of the change process. According to the findings, the impact of employees’ job rank …


Segment-Wise Time-Varying Dynamic Bayesian Network With Graph Regularization, Xing Yang, Chen Zhang, Baihua Zheng Dec 2022

Segment-Wise Time-Varying Dynamic Bayesian Network With Graph Regularization, Xing Yang, Chen Zhang, Baihua Zheng

Research Collection School Of Computing and Information Systems

Time-varying dynamic Bayesian network (TVDBN) is essential for describing time-evolving directed conditional dependence structures in complex multivariate systems. In this article, we construct a TVDBN model, together with a score-based method for its structure learning. The model adopts a vector autoregressive (VAR) model to describe inter-slice and intra-slice relations between variables. By allowing VAR parameters to change segment-wisely over time, the time-varying dynamics of the network structure can be described. Furthermore, considering some external information can provide additional similarity information of variables. Graph Laplacian is further imposed to regularize similar nodes to have similar network structures. The regularized maximum a …


R2f: A General Retrieval, Reading And Fusion Framework For Document-Level Natural Language Inference, Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao Dec 2022

R2f: A General Retrieval, Reading And Fusion Framework For Document-Level Natural Language Inference, Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao

Research Collection School Of Computing and Information Systems

Document-level natural language inference (DocNLI) is a new challenging task in natural language processing, aiming at judging the entailment relationship between a pair of hypothesis and premise documents. Current datasets and baselines largely follow sentence-level settings, but fail to address the issues raised by longer documents. In this paper, we establish a general solution, named Retrieval, Reading and Fusion (R2F) framework, and a new setting, by analyzing the main challenges of DocNLI: interpretability, long-range dependency, and cross-sentence inference. The basic idea of the framework is to simplify document-level task into a set of sentence-level tasks, and improve both performance and …


Differentiated Security Architecture For Secure And Efficient Infotainment Data Communication In Iov Networks, Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam Dec 2022

Differentiated Security Architecture For Secure And Efficient Infotainment Data Communication In Iov Networks, Jiani Fan, Lwin Khin Shar, Jiale Guo, Wenzhuo Yang, Dusit Niyato, Kwok-Yan Lam

Research Collection School Of Computing and Information Systems

This paper aims to provide differentiated security protection for infotainment data commu- nication in Internet-of-Vehicle (IoV) networks. The IoV is a network of vehicles that uses various sensors, software, built-in hardware, and communication technologies to enable information exchange between pedestrians, cars, and urban infrastructure. Negligence on the security of infotainment data commu- nication in IoV networks can unintentionally open an easy access point for social engineering attacks. The attacker can spread false information about traffic conditions, mislead drivers in their directions, and interfere with traffic management. Such attacks can also cause distractions to the driver, which has a potential implication …


Pickup And Multi-Delivery Problem With Time Windows, Pham Tuan Anh, Aldy Gunawan, Vincent F. Yu, Tuan C. Chau Dec 2022

Pickup And Multi-Delivery Problem With Time Windows, Pham Tuan Anh, Aldy Gunawan, Vincent F. Yu, Tuan C. Chau

Research Collection School Of Computing and Information Systems

This paper addresses a new variant of Pickup and Delivery Problem with Time Windows (PDPTW) for enhancing customer satisfaction. In particular, a huge number of requests is served in the system, where each request includes a pickup node and several delivery nodes instead of a pair of pickup and delivery nodes. It is named Pickup and Multi-Delivery Problem with Time Windows (PMDPTW). A mixed-integer programming model is formulated with the objective of minimizing total travel costs. Computational experiments are conducted to test the correctness of the model with a newly generated benchmark based on the PDPTW benchmark instances. Results show …


Biasfinder: Metamorphic Test Generation To Uncover Bias For Sentiment Analysis Systems, Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Thung Ferdian, David Lo Dec 2022

Biasfinder: Metamorphic Test Generation To Uncover Bias For Sentiment Analysis Systems, Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Thung Ferdian, David Lo

Research Collection School Of Computing and Information Systems

Artificial intelligence systems, such as Sentiment Analysis (SA) systems, typically learn from large amounts of data that may reflect human bias. Consequently, such systems may exhibit unintended demographic bias against specific characteristics (e.g., gender, occupation, country-of-origin, etc.). Such bias manifests in an SA system when it predicts different sentiments for similar texts that differ only in the characteristic of individuals described. To automatically uncover bias in SA systems, this paper presents BiasFinder, an approach that can discover biased predictions in SA systems via metamorphic testing. A key feature of BiasFinder is the automatic curation of suitable templates from any given …


Deep Just-In-Time Defect Localization, Fangcheng Qiu, Zhipeng Gao, Xin Xia, David Lo, John Grundy, Xinyu Wang Dec 2022

Deep Just-In-Time Defect Localization, Fangcheng Qiu, Zhipeng Gao, Xin Xia, David Lo, John Grundy, Xinyu Wang

Research Collection School Of Computing and Information Systems

During software development and maintenance, defect localization is an essential part of software quality assurance. Even though different techniques have been proposed for defect localization, i.e., information retrieval (IR)-based techniques and spectrum-based techniques, they can only work after the defect has been exposed, which can be too late and costly to adapt to the newly introduced bugs in the daily development. There are also many JIT defect prediction tools that have been proposed to predict the buggy commit. But these tools do not locate the suspicious buggy positions in the buggy commit. To assist developers to detect bugs in time …


A Recommendation On How To Teach K-Means In Introductory Analytics Courses, Manoj Thulasidas Dec 2022

A Recommendation On How To Teach K-Means In Introductory Analytics Courses, Manoj Thulasidas

Research Collection School Of Computing and Information Systems

We teach K-Means clustering in introductory data analytics courses because it is one of the simplest and most widely used unsupervised machine learning algorithms. However, one drawback of this algorithm is that it does not offer a clear method to determine the appropriate number of clusters; it does not have a built-in mechanism for K selection. What is usually taught as the solution for the K Selection problem is the so-called elbow method, where we look at the incremental changes in some quality metric (usually, the sum of squared errors, SSE), trying to find a sudden change. In addition to …


A Unified Dialogue User Simulator For Few-Shot Data Augmentation, Dazhen Wan, Zheng Zhang, Qi Zhu, Lizi Liao, Minlie Huang Dec 2022

A Unified Dialogue User Simulator For Few-Shot Data Augmentation, Dazhen Wan, Zheng Zhang, Qi Zhu, Lizi Liao, Minlie Huang

Research Collection School Of Computing and Information Systems

Pre-trained language models have shown superior performance in task-oriented dialogues. However, existing datasets are on limited scales, which cannot support large-scale pre-training. Fortunately, various data augmentation methods have been developed to augment largescale task-oriented dialogue corpora. However, they heavily rely on annotated data in the target domain, which require a tremendous amount of data collection and human labeling work. In this paper, we build a unified dialogue user simulation model by pre-training on several publicly available datasets. The model can then be tuned on a target domain with fewshot data. The experiments on a target dataset across multiple domains show …


Quote: Quality-Oriented Testing For Deep Learning Systems, Jialuo Chen, Jingyi Wang, Xingjun Ma, Youcheng Sun, Jun Sun, Peixin Zhang, Peng Cheng Dec 2022

Quote: Quality-Oriented Testing For Deep Learning Systems, Jialuo Chen, Jingyi Wang, Xingjun Ma, Youcheng Sun, Jun Sun, Peixin Zhang, Peng Cheng

Research Collection School Of Computing and Information Systems

Recently, there has been a significant growth of interest in applying software engineering techniques for the quality assurance of deep learning (DL) systems. One popular direction is deep learning testing, i.e., given a property of test, defects of DL systems are found either by fuzzing or guided search with the help of certain testing metrics. However, recent studies have revealed that the neuron coverage metrics, commonly used by most existing DL testing approaches, are not necessarily correlated with model quality (e.g., robustness, the most studied model property), and are also not an effective measurement on the confidence of the model …


Conreader: Exploring Implicit Relations In Contracts For Contract Clause Extraction, Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam Dec 2022

Conreader: Exploring Implicit Relations In Contracts For Contract Clause Extraction, Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam

Research Collection School Of Computing and Information Systems

We study automatic Contract Clause Extraction (CCE) by modeling implicit relations in legal contracts. Existing CCE methods mostly treat contracts as plain text, creating a substantial barrier to understanding contracts of high complexity. In this work, we first comprehensively analyze the complexity issues of contracts and distill out three implicit relations commonly found in contracts, namely, 1) Long-range Context Relation that captures the correlations of distant clauses; 2) Term-Definition Relation that captures the relation between important terms with their corresponding definitions; and 3) Similar Clause Relation that captures the similarities between clauses of the same type. Then we propose a …


Pacific: Towards Proactive Conversational Question Answering Over Tabular And Textual Data In Finance, Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua Dec 2022

Pacific: Towards Proactive Conversational Question Answering Over Tabular And Textual Data In Finance, Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

To facilitate conversational question answering (CQA) over hybrid contexts in finance, we present a new dataset, named PACIFIC. Compared with existing CQA datasets, PACIFIC exhibits three key features: (i) proactivity, (ii) numerical reasoning, and (iii) hybrid context of tables and text. A new task is defined accordingly to study Proactive Conversational Question Answering (PCQA), which combines clarification question generation and CQA. In addition, we propose a novel method, namely UniPCQA, to adapt a hybrid format of input and output content in PCQA into the Seq2Seq problem, including the reformulation of the numerical reasoning process as code generation. UniPCQA performs multi-task …


Shaping Ott Movie Consumption Through Immersive Cinema: A Qualitative Investigation Of Consumer Perspectives, Avirupa Basu, Pratap C. Mandal, Ashutosh. B. Murti, Tamas Makany, Tamas Makany Dec 2022

Shaping Ott Movie Consumption Through Immersive Cinema: A Qualitative Investigation Of Consumer Perspectives, Avirupa Basu, Pratap C. Mandal, Ashutosh. B. Murti, Tamas Makany, Tamas Makany

Research Collection Lee Kong Chian School Of Business

Due to the COVID-19 pandemic, the entertainment sector saw a worldwide disruption with restrictions on outdoor activities. Consequently, consumers turned towards video and music streaming services for their entertainment consumption. Several film studios have taken the digital release route on over-the-top (OTT) sites to avoid revenue losses and indefinite delays. However, these non-theatrical OTT film releases need to experiment with different strategies to bring the experiences to par with theatrical ones. This exploratory study aims to provide insights on whether Immersive Cinema can be used to imitate the physical world through digital simulation on OTT platforms to gain credibility in …


Governance And Design Of Digital Platforms: A Review And Future Research Directions On A Meta-Organization, Liang Chen, Tony W. Tong, Shaoqin Tang, Nianchen Han Dec 2022

Governance And Design Of Digital Platforms: A Review And Future Research Directions On A Meta-Organization, Liang Chen, Tony W. Tong, Shaoqin Tang, Nianchen Han

Research Collection Lee Kong Chian School Of Business

The burgeoning digital-platforms literature across multiple business disciplines has primarily characterized the platform as a market or network. Although the organizing role of platform owners is well recognized, the literature lacks a coherent approach to understanding organizational governance in the platform context. Drawing on classic organizational governance theories, this paper views digital platforms as a distinct organizational form where the mechanisms of incentive and control routinely take center stage. We systematically review research on digital platforms, categorize specific governance mechanisms related to incentive and control, and map a multitude of idiosyncratic design features studied in prior research onto these mechanisms. …


End-To-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek Dec 2022

End-To-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek

Research Collection School Of Computing and Information Systems

Hierarchical reinforcement learning (HRL) is a promising approach to perform long-horizon goal-reaching tasks by decomposing the goals into subgoals. In a holistic HRL paradigm, an agent must autonomously discover such subgoals and also learn a hierarchy of policies that uses them to reach the goals. Recently introduced end-to-end HRL methods accomplish this by using the higher-level policy in the hierarchy to directly search the useful subgoals in a continuous subgoal space. However, learning such a policy may be challenging when the subgoal space is large. We propose integrated discovery of salient subgoals (LIDOSS), an end-to-end HRL method with an integrated …


Make Your Own Sprites: Aliasing-Aware And Cell-Controllable Pixelization, Zongwei Wu, Liangyu Chai, Nanxuan Zhao, Bailin Deng, Yongtuo Liu, Qiang Wen, Junle Wang, Shengfeng He Dec 2022

Make Your Own Sprites: Aliasing-Aware And Cell-Controllable Pixelization, Zongwei Wu, Liangyu Chai, Nanxuan Zhao, Bailin Deng, Yongtuo Liu, Qiang Wen, Junle Wang, Shengfeng He

Research Collection School Of Computing and Information Systems

Pixel art is a unique art style with the appearance of low resolution images. In this paper, we propose a data-driven pixelization method that can produce sharp and crisp cell effects with controllable cell sizes. Our approach overcomes the limitation of existing learning-based methods in cell size control by introducing a reference pixel art to explicitly regularize the cell structure. In particular, the cell structure features of the reference pixel art are used as an auxiliary input for the pixelization process, and for measuring the style similarity between the generated result and the reference pixel art. Furthermore, we disentangle the …


The Effectiveness Of Using Python Programming Approach In Teaching Financial Analytics, Clarence Goh, Yuanto Kusnadi, Gary Pan Dec 2022

The Effectiveness Of Using Python Programming Approach In Teaching Financial Analytics, Clarence Goh, Yuanto Kusnadi, Gary Pan

Research Collection School Of Accountancy

This study presents a learning method and challenges regarding implementing a Python programming approach in teaching financial analytics to graduate accounting students. The advent of Big Data, as well as related applications and technologies, has significantly changed the process and practice of accounting. This has led to essential changes in the construction and teaching content of accounting education. While there have been several studies examining how data analytics is embedded in the accounting curriculum, the majority of the teaching cases in accounting focus on analysis and communication with Excel as the principal tool, with very few covering the necessary steps …


The Search For Spices And Souls: Catholic Missions As Colonial State In The Philippines, Dean C. Dulay Dec 2022

The Search For Spices And Souls: Catholic Missions As Colonial State In The Philippines, Dean C. Dulay

Research Collection School of Social Sciences

A growing literature posits that colonial Christian missions brought schooling to the colonies, improving human capital in ways that persist to this day. But in some places they did much more. This paper argues that colonial Catholic missions in the Philippines functioned as state-builders, establishing law and order and building fiscal and infrastructural capacities in territories they controlled. The mission-as-state was the result of a bargain between the Catholic missions and the Spanish colonial government: missionaries converted the population and engaged in state-building, whereas the colonial government reaped the benefits of state expansion while staying in the capital. Exposure to …


Choreographing Neutrality: Dance In Cambodia’S Cold War Diplomacy In Asia, 1953-1970, Darlene Machell Espena Dec 2022

Choreographing Neutrality: Dance In Cambodia’S Cold War Diplomacy In Asia, 1953-1970, Darlene Machell Espena

Research Collection School of Social Sciences

This article examines the role of dance in Cambodia’s Cold War diplomacy in Asia from 1953 up until the establishment of the Khmer Republic in 1970. It explores how Sihanouk leveraged Cambodian dances to enact Cambodia’s neutral stance during the Cold War and forge cordial relations with other Asian states. Through an examination of the myriad of dance performances of the Royal Ballet and other Khmer dance troupes within the context of Cambodia’s diplomatic relations in Asia, this paper demonstrates how dance afforded a space for Inter-Asia referencing amidst the Cold War tension in the region. Premised on an interdisciplinary …