Digital Commons Network^™

The Effect Of Executive Function On The Development Of Chronic Pain: A Prospective Longitudinal Study, Wee Qin Ng, Andree Hartanto

Research Collection School of Social Sciences

Increasing evidence suggests a close association between chronic pain and executive function, a set of cognitive processes necessary for goal-directed behaviors. However, there is a dearth of longitudinal studies examining the predictive effect of executive function on the development of chronic pain. Drawing on the cyclical model of executive function and health, we sought to examine how executive function, measured at baseline, may predict chronic pain etiology approximately 9 years later. Using a large-scale dataset of midlife adults (N = 1553) from the MIDUS 2 and 3 (Midlife Development in the United States) studies, we employed multivariate logistic regression to …

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 …

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, …

Opportunities And Challenges In Code Search Tools, Chao Liu, Xin Xia, David Lo, Cuiying Gao, Xiaohu Yang, John Grundy

Research Collection School Of Computing and Information Systems

Code search is a core software engineering task. Effective code search tools can help developers substantially improve their software development efficiency and effectiveness. In recent years, many code search studies have leveraged different techniques, such as deep learning and information retrieval approaches, to retrieve expected code from a large-scale codebase. However, there is a lack of a comprehensive comparative summary of existing code search approaches. To understand the research trends in existing code search studies, we systematically reviewed 81 relevant studies. We investigated the publication trends of code search studies, analyzed key components, such as codebase, query, and modeling technique …

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 …

Dronlomaly: Runtime Detection Of Anomalous Drone Behaviors Via Log Analysis And Deep Learning, Lwin Khin Shar, Wei Minn, Nguyen Binh Duong Ta, Jianli Fan, Lingxiao Jiang, Daniel Wai Kiat Lim

Research Collection School Of Computing and Information Systems

Drones are increasingly popular and getting used in a variety of missions such as area surveillance, pipeline inspection, cinematography, etc. While the drone is conducting a mission, anomalies such as sensor fault, actuator fault, configuration errors, bugs in controller program, remote cyber- attack, etc., may affect the drone’s physical stability and cause serious safety violations such as crashing into the public. During a flight mission, drones typically log flight status and state units such as GPS coordinates, actuator outputs, accelerator readings, gyroscopic readings, etc. These log data may reflect the above-mentioned anomalies. In this paper, we propose a novel, deep …

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 …

Interventional Training For Out-Of-Distribution Natural Language Understanding, Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing

Research Collection School Of Computing and Information Systems

Out-of-distribution (OOD) settings are used to measure a model’s performance when the distribution of the test data is different from that of the training data. NLU models are known to suffer in OOD settings (Utama et al., 2020b). We study this issue from the perspective of causality, which sees confounding bias as the reason for models to learn spurious correlations. While a common solution is to perform intervention, existing methods handle only known and single confounder, but in many NLU tasks the confounders can be both unknown and multifactorial. In this paper, we propose a novel interventional training method called …

Vr Computing Lab: An Immersive Classroom For Computing Learning, Shawn Pang, Kyong Jin Shim, Yi Meng Lau, Swapna Gottipati

Research Collection School Of Computing and Information Systems

In recent years, virtual reality (VR) is gaining popularity amongst educators and learners. If a picture is worth a thousand words, a VR session is worth a trillion words. VR technology completely immerses users with an experience that transports them into a simulated world. Universities across the United States, United Kingdom, and other countries have already started using VR for higher education in areas such as medicine, business, architecture, vocational training, social work, virtual field trips, virtual campuses, helping students with special needs, and many more. In this paper, we propose a novel VR platform learning framework which maps elements …

Innovative And Effective Spreadsheet Tool For Learning Sentiment Analysis And Prediction, Michelle L. F. Cheong, Jean Yun-Chen Chen

Research Collection School Of Computing and Information Systems

In this paper, we describe a spreadsheet tool which was developed and implemented to teach sentiment analysis and prediction to university students who are less technically inclined. We adopted the “Use-Modify-Create” cycle to ensure that the students learn the computing concepts and practices in a progressive and active learning manner, and we evaluated the effectiveness of the tool using the Learning Object Evaluation Scale for Students (LOES-S). The evaluation shows that our tool performed well in terms of quality, learn and engagement constructs, and our paired T-test shows strong evidence that, on average, the course module with the tool does …

Prompting For Multimodal Hateful Meme Classification, Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, Jing Jiang

Research Collection School Of Computing and Information Systems

Hateful meme classification is a challenging multimodal task that requires complex reasoning and contextual background knowledge. Ideally, we could leverage an explicit external knowledge base to supplement contextual and cultural information in hateful memes. However, there is no known explicit external knowledge base that could provide such hate speech contextual information. To address this gap, we propose PromptHate, a simple yet effective prompt-based model that prompts pre-trained language models (PLMs) for hateful meme classification. Specifically, we construct simple prompts and provide a few in-context examples to exploit the implicit knowledge in the pretrained RoBERTa language model for hateful meme classification. …

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

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 …

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 …

Beer: Fast O(1/T) Rate For Decentralized Nonconvex Optimization With Communication Compression, Haoyu Zhao, Boyue Li, Zhize Li, Peter Richtarik, Yuejie Chi

Research Collection School Of Computing and Information Systems

Communication efficiency has been widely recognized as the bottleneck for large-scale decentralized machine learning applications in multi-agent or federated environments. To tackle the communication bottleneck, there have been many efforts to design communication-compressed algorithms for decentralized nonconvex optimization, where the clients are only allowed to communicate a small amount of quantized information (aka bits) with their neighbors over a predefined graph topology. Despite significant efforts, the state-of-the-art algorithm in the nonconvex setting still suffers from a slower rate of convergence $O((G/T)^{2/3})$ compared with their uncompressed counterpart, where $G$ measures the data heterogeneity across different clients, and $T$ is the number …

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

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 …

Energy Dissipation Of Highly Convergent Chutes In Stilling Basins Of Concrete Dams, Rafael Morán, Miguel Ángel Toledo, Jaime I. Masides

Protections Conference

This article presents the results of a combination of experimental and numerical research on the performance of stilling basins of spillways with highly convergent chutes (HCC). The comparison between the energy dissipation of the stilling basins with flat slab and baffle blocks shows that the latest are more efficient. Because of that, the cost savings of using such blocks can be significant. The results obtained could be applied in different cases such as increasing the capacity of existing spillways and protecting dams against overtopping. The application of HCC spillways in new dams could lead to a reduction in the cost …

A Novel Computational Method To Compute Rock Scour Due To Dam Overtopping, Erik F. R. Bollaert

Protections Conference

Flood events generating potential risk for dam overtopping may become more frequently in the future, especially because of increasing climate change. Crest overflows at arch dams generally impact the downstream rock mass very close to the dam foundation. As such, any scour of the rock mass generated by this phenomenon may potentially endanger the stability of the dam and its appurtenant structures. Hence, pertinent assessment of this scour formation through space and time is becoming increasingly relevant to dam safety. This paper presents a novel computational method for detachment of prismatic rock blocks from their mass when impacted by high-velocity …

Bedrock Erosion In Swedish Spillways - A Methodology For Assessing Design Pore Pressures Aimed For Design Of Erosion Mitigation Via Reinforcement Of The Rock Mass, Per Eriksson, Jonas Persson, Carol-Oscar Nilsson

Protections Conference

This article presents a collection of literature and data that enables calculations of hydraulic pressures inside a structurally simplified rock mass. The causation between the pressure in the rock mass and the near plane-parallel turbulently flowing waters on natural surfaces of igneous rock is expressed. The article is mainly aimed at rock reinforcement calculations given magmatic rock types with high durability and large block size.

Failure Thresholds For Rcc Crest Caps, Tony L. Wahl, Bryan J. Heiner, Jacob F. Kepler

Protections Conference

Overtopping protection using roller-compacted concrete (RCC) overlays is a common improvement made to address hydrologic deficiencies at existing small- to medium-height embankment dams. Overlays allow floods to pass over the dam while preventing erosion of the original embankment. The United States has many examples of such projects on both private and public dams, including many associated with federal agencies of the Departments of the Interior and Agriculture. For one project modified with an overlay in 1993, deterioration of the RCC and poor bonding between lifts has caused concern for stability of the 0.3-m (1-ft) thick RCC lifts that cap the …

First Application Of Articulated Concrete Block Armoring With A Stabilized Stone Drainage Layer, Jeremy R. Young, Jim Nadeau

Protections Conference

Results from recent hydraulic testing of Articulated Concrete Block (ACB) systems have shown variations in the level of the ACB surface is attributed to the movement of an unconfined stone drainage layer. This movement appears to be exacerbated by thicker drainage layers, higher overtopping depths, and longer test flumes. While the apparent movement did not constitute “threshold of performance” as currently defined by ASTM D7276 and D7277, there was a desire to mitigate movement of the stone drainage layer and maintain conservatism in ACB design and construction. This paper will review the findings of Nadeau and Wedin’s paper from Protections …

Structural Failure Of The Cohesive Core Of Rockfill Dams: An Experimental Research Using Sand-Bentonite Mixtures, Ricardo Monteiro-Alves, Rafael Moran, Miguel Á. Toledo, Javier Peraita

Protections Conference

This article presents experimental research focusing on the structural failure of the central core of a rockfill dam using sand-bentonite mixtures. It comprised an extensive geotechnical characterization of soil materials and mixtures, including compaction and strength tests, as well as the construction of 1 m high and 1.5 m wide physical models. The displacements of the cohesive cores were recorded using a tailored measuring system, based on a laser pointer and a mirror, designed to amplify the real displacements. The cohesive cores were extremely sensitive to small oscillations and behaved as rigid bodies, similar to concrete slabs with three fixed …

Overtopping Erodibility Analysis For A Steep-Sloped Rockfill Embankment Dam, Ariel Rickel, Michael F. George, Rob Millar

Protections Conference

Erosion of embankment material during an overtopping event is one of the major mechanisms of failure for earthfill dams. The ability to analyze the progression of overtopping failure can prove useful in assessing the breakthrough risk of the dam, which involves understanding the behavior of the material that the dam is comprised of. While there have been studies on the behavior of smaller-grained materials such as clays and sands (e.g. Hahn et al 2000; Coleman et al. 2002; Hanson et al. 2005; Hanson et al. 2011), few have focused on erosion of larger-grained rockfill embankments.

This paper presents the erosion …

Paradigms Of Global Spirit-Empowered Leadership, Eric N. Newberg

Spiritus: ORU Journal of Theology

Spirit-empowered leaders employ different paradigms of leadership. The aim of the article is to identify, explain, and critique these paradigms. Spirit-empowered leadership is conceived of as belonging to the category of charismatic leadership. Following Max Weber, charismatic leadership is understood as flowing from charisma or giftedness, which is attributed to the leader by his or her followers. The article starts with the findings of theorists concerning charismatic leadership. Then it delineates five paradigms of Spirit-empowered leadership—the apostle, prophet, healing evangelist, pastorpreneur, and teacher/scholar. Examples are offered from global contexts. Last, a summative assessment of the paradigms is conducted, using criteria …

Front Matter, Spiritus 7.2 (Fall 2022), [email protected]

Spiritus: ORU Journal of Theology

No abstract provided.

Full Issue: Spiritus 7.2 (2022) - Missional Leadership, [email protected]

Spiritus: ORU Journal of Theology

No abstract provided.

Performance Comparison Of Several Control Algorithms For Tracking Control Of Pantograph Mechanism, Laylaa Mahmoud Eng, Mohamed Shamseldin Dr, Mohamed Sallam Dr, Abdelghany Mohamed Prof

Future Engineering Journal

A sort of parallel manipulator known as a pantograph robot mechanism was created primarily for industrial requests that required high precision and satisfied speed. While tracking a chosen trajectory profile requires a powerful controller. Because it has four active robot links and one robot passive link in place of just two links like the open chain does, it can carry more loads than the open chain robot mechanism while maintaining accuracy and stability. The calculated model for a closed chain pantograph robot mechanism presented in this paper takes into account the boundary conditions. For the purpose of simulating the dynamics …

Role Of Knowledge Economy In Economic Growth: “An Empirical Study” On Selected Arab Countries, Soulieka Omar Alaeddine

BAU Journal - Creative Sustainable Development

Despite the mounting importance of the knowledge economy in diversifying Arab economies, the knowledge transition in these countries is still in its early stages, with a long road ahead. The study’s main aim is to examine the role of the knowledge economy in economic growth and to recognize the most influential knowledge pillar for a sample of 11 Arab countries during the period 2000–2020, namely: Algeria, Bahrain, Egypt, Jordan, Kuwait, Lebanon, Morocco, Oman, Qatar, Saudi Arabia, and Tunisia. The panel generalized least squares model, with its two methods (fixed-effects model and random-effects model), was performed using an extended version of …

Architectural Representations Of Human Rights, El-Bastawissi Y. Ibtihal, Youssef Maged

BAU Journal - Creative Sustainable Development

The United Nations defines the Human Rights as the rights of all human beings, regardless of race, gender, language, religion, nationality, or any other status. These rights include all claims to live freely, to educate and work in equality, and to inhabit humanistic urban and architectural spaces. Throughout the history of architecture, civilisations have generated different perspectives towards respecting the human rights. Temples of Ancient Egyptian Architecture crushed the human scale to introduce religious experiences to their visitors. Tibetan temples over mountains enforced people to make anti-humanistic journeys to reach them. After thousands of years, the mega-scale palaces and cathedrals …