ABSTRACT
People from all over the world are overwhelmed by the news and information related to the global COVID-19 pandemic on a daily basis. The social, economic, political, environmental, and technological landscapes have been undergoing unprecedented vicissitudes which have hindered innovation management. It hence behooves policy makers and leaders to develop and implement effective solutions and practices to immediately address the issues and catastrophes engendered by COVID-19. We discuss the promises of emotional intelligence to deal with the negative impact of COVID-19 and propose a list of practical recommendations for policy makers and leaders to consider when developing and assigning emotional intelligence training. © 2023 Journal of Innovation Management. All rights reserved.
ABSTRACT
As countries enter the endemic phase of COVID-19, people's risk of exposure to the virus is greater than ever. There is a need to make more informed decisions in our daily lives on avoiding crowded places. Crowd monitoring systems typically require costly infrastructure. We propose a crowdsourced crowd monitoring platform which leverages user inputs to generate crowd counts and forecast location crowdedness. A key challenge for crowd-sourcing is a lack of incentive for users to contribute. We propose a Reinforcement Learning based dynamic incentive mechanism to optimally allocate rewards to encourage user participation.
ABSTRACT
Spurred by the severe restrictions on mobility due to the COVID-19 pandemic, there is currently intense interest in developing the Metaverse, to offer virtual services/business online. A key enabler of such virtual service is the digital twin, i.e., a digital replication of real-world entities in the Metaverse, e.g., city twin, avatars, etc. The real-world data collected by IoT devices and sensors are key for synchronizing the two worlds. In this paper, we consider the scenario in which a group of IoT devices are employed by the Metaverse platform to collect such data on behalf of virtual service providers (VSPs). Device owners, who are self-interested, dynamically select a VSP to maximize rewards. We adopt hybrid evolutionary dynamics, in which heterogeneous device owner populations can employ different revision protocols to update their strategies. Extensive simulations demonstrate that a hybrid protocol can lead to evolutionary stable states. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic has led online learning mode to be extremely popular all over the world. It is conceivable that people will gradually adapt to the convenience and low-cost advantages of e-learning mode, even for a long time after the end of the pandemic. However, the e-learning mode has relatively low credibility in the traditional academic and degree certification education system. Applying blockchain technology on e-learning system can help to solve the lack of credit system in the education field. We propose a blockchain-enhanced e-learning ecosystem that can provide functions such as learning behavior recording, degree certificate verificating, courseware resource protecting, transaction book tracking, and cross-institutional recognizing of academic qualifications, which can effectively help build an online education credit system, for some major educational application scenarios, such as inter-institutional lifelong education, inter-disciplinary education, and modern vocational education system. © 2021 ACM.
ABSTRACT
The COVID-19 pandemic has disrupted the lives of millions across the globe. In Singapore, promoting safe distancing by managing crowds in public areas have been the cornerstone of containing the community spread of the virus. One of the most important solutions to maintain social distancing is to monitor the crowdedness of indoor and outdoor points of interest. Using Nanyang Technological University (NTU) as a testbed, we develop and deploy a platform that provides live and predicted crowd counts for key locations on campus to help users plan their trips in an informed manner, so as to mitigate the risk of community transmission. © 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.
ABSTRACT
With the current raging spread of the COVID19, early forecasting of the future epidemic trend is of great significance to public health security. The COVID-19 is virulent and spreads widely. An outbreak in one region often triggers the spread of others, and regions with relatively close association would show a strong correlation in the spread of the epidemic. In the real world, many factors affect the spread of the outbreak between regions. These factors exist in the form of multimodal data, such as the time-series data of the epidemic, the geographic relationship, and the strength of social contacts between regions. However, most of the current work only uses historical epidemic data or single-modal geographic location data to forecast the spread of the epidemic, ignoring the correlation and complementarity in multi-modal data and its impact on the disease spread between regions. In this paper, we propose a Multimodal InformatioN fusion COVID-19 Epidemic forecasting model (MINE). It fuses inter-regional and intra-regional multi-modal information to capture the temporal and spatial relevance of the COVID-19 spread in different regions. Extensive experimental results show that the proposed method achieves the best results compared to state-of-art methods on benchmark datasets. © 2021 IEEE.
ABSTRACT
The COVID-19 pandemic is one of the most severe challenges the world faces today. In order to contain the transmission of COVID-19, people around the world have been advised to practise social distancing. However, maintaining social distance is a challenging problem, as we often do not know beforehand how crowded the places we intend to visit are. In this paper, we demonstrate crowded.sg, an AI-empowered platform that leverages on Unmanned Aerial Vehicles (UAVs), crowdsourced images, and computer vision techniques to provide social distancing decision support.
ABSTRACT
Amid the global outbreak and epidemic of Corona Virus Disease 2019 (COVID-19), it is urgent to find effective and safe therapies against COVID-19. Preliminary clinical studies on COVID-19 showed that chloroquine and hydroxychloroquine were effective. However, it is necessary to pay attention to medication application of chloroquine and hydroxychloroquine, since they have a large volume of distribution, a long half-life and the risk of adverse reactions of retinopathy with the long-term application of larger doses. In order to better understand these two drugs in current medical practice, this article outlines the history of clinical application and development of chloroquine and hydroxychloroquine, focusing on their pharmacokinetic characteristics and adverse reactions as well as the recent use against COVID-19 and their potential pharmacological action mechanism. It is hoped that this article can contribute to clinical use. © 2020 Chinese Journal of Pharmacology and Toxicology. All rights reserved.
ABSTRACT
Recently, COVID-19 has spread throughout China with new cases increasing abroad. Family physicians, a major provider of community medical services as well as the gatekeeper of residents' health, also play a vital role in the control and prevention of COVID-19.As their duties and working mechanism in combating COVID-19 are not completely clear yet, we tried to develop a sound working mechanism by comprehensively discussing and summarizing the deployment and role of family physicians in combating the epidemic, hoping to give full play of their role in doing the work based on maintaining sound physical and mental health with scientific self-protection, such as collaboratively identifying the suspected cases by screening the priority groups, standardizedly managing the isolated observational cases while managing contracted residents, and delivering individualized health education of COVID-19, by strengthening administrative management, clearing their duties, formulating a working procedure, strengthening the training before combating the epidemic, and caring for their physical and mental health. Copyright © 2020 by the Chinese General Practice.