ABSTRACT
With the popularity of the metaverse, researchers are turning to augmented reality and virtual reality to innovate their recent pain points, particularly healthcare issues during COVID-19. At the same time, social robots can be a great tool for alleviating many challenges during the pandemic. However, before the integrated technology's possibilities for the metaverse and social robots can be suitably harnessed, certain recent developments for integration during the pandemic should be addressed. For this reason, this paper proposes a new systematic summary of pioneering social robotic systems using the metaverse through immersive experiences from an interdisciplinary healthcare perspective during the COVID-19 outbreak. We also highlight social robots to deal with medical healthcare issues during the virus outbreak both elderly adults and younger people. Moreover, we compare recent metaverse-driven social robotic works for dealing with assisted living and healthcare issues through telepresence and remote interaction during COVID-19. Ultimately, we provide a recommendation and forecast a future scenario for the integration between socially interactive robots and metaverse technology to improve and help the quality of life both in the current COVID-19 situation and in the post-COVID-19 society. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The kernel of an agent based simulation system for spreading of infectious disease needs a so called household structure (HSD) of the area being simulated which contains a list of households with the age of each member in the household being recorded. Such a household structure is available in a Census that is usually released every 10 years. Previous researches have shown the changing of the household structure has a great impact on disease spreading patterns. It is observed that the changing of the household structure e.g., the average citizen ages and household size, is at a faster speed. However, serious infectious diseases, such as SARS (year 2002), H1N1 (year 2009) and COVID-19 (year 2019), occur with a higher frequency now than previous eras. For example, it would be bad to use HSD2010 built using Census 2010 to simulate COVID-19. In view of this situation, we need a better way to obtain a good household structure in between the Census years in order for an agent-based simulation system to be effective. Note that though a detailed Census is not available every year, aggregated information such as the number of households with a particular size, and the number of people of a particular age are usually available almost monthly. Given HSDx, the household structure for year x, and the aggregated information from year y where y > x, we propose a Monte-Carlo based approach "patching" HSDx to get an approximated HSDy. To validate our algorithm, we pick x and y - x + 10 which both Censuses are available and find out the root-mean-square error (RMSE) between Census's HSDy and generated HSDy is fairly small for x = 1990 and 2000. The spreading patterns obtained by our simulation system have good matches. We hence obtain HSD2020 to be used in your system for studying the spreading of COVID-19.
ABSTRACT
Purpose This study deals with attenuating the risk of relying on a single export market, which was heightened by the outbreak of the COVID-19 pandemic. It focuses on Taiwanese atemoya (a fruit with short storage life) and the adoption of active controlled atmosphere (CA) containers, a new technology which lengthens storage time for other export markets. This study looks at the financial feasibility of the technology's first ever use in atemoya exports. Design/methodology/approach Apart from the standard financial assessment tools-like net present value (NPV), internal rate of return (IRR), benefit-cost ratio (BCR) and payback period (PBP)-this study calibrated five different scenarios based on data gathered from relevant market agents including suppliers, exporters, customs brokers and technology developer. Findings Due to the high profit margin and low investment cost, the use of active CA containers for long-haul exports of this highly perishable fruit is found both technically and financially feasible, despite the generally higher operational cost during the pandemic. Research limitations/implications This study looked at three specific export markets: Malaysia, Dubai and Canada. Results here may lack generalizability in other markets, although it is believed that slight deviations would not invalidate the conclusions of this research because short, medium and long distances were all covered therein. Originality/value This paper studies the first time that active CA is used for export of atemoyas to expand existing markets.
ABSTRACT
Detecting the crisis of supply chain management is an important subject for the sustainable management of e-commerce. The purpose of this study was to explore the application of Q-technique to the detection of supply chain crises in the imported food industry under the influence of COVID-19. Literature analysis, expert consultation, and Q-technique methods were adopted. We used an expert consultation and questionnaire survey combined with Q-technique using the imported food industry in Taiwan as an example. Fifteen business owners were interviewed to identify priorities for supply chain crises, and 137 questionnaires were collected to determine the strength of each item. By investigating suppliers, distributors, wholesalers, platform operators, online sellers, and logistics operators, this study obtained the priority of supply chain crisis items and the strength of factors for each item. The results show that Q-technique can effectively detect the crisis of cross-border supply chain management, clarifying import food industry e-commerce supply chain crisis items and determining their priority and strength, to help enterprises make emergency decisions regarding supply chain operation, and they can also be used as a reference for enterprises to respond to the crisis. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
ABSTRACT
The outbreak of coronavirus disease 2019 (COVID-2019) has drawn public attention all over the world. As a newly emerging area, single cell sequencing also exerts its power in the battle over the epidemic. In this review, the up-to-date knowledge of COVID-19 and its receptor is summarized, followed by a collection of the mining of single cell transcriptome profiling data for the information in aspects of the vulnerable cell types in humans and the potential mechanisms of the disease. © 2021. All Rights Reserved.