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8th International Conference on Education and Training Technologies, ICETT 2022 ; : 22-27, 2022.
Article in English | Scopus | ID: covidwho-2020409

ABSTRACT

Under the influence of the COVID-19, online learning has become a way for universities around the world to maintain teaching activities. Based on this background, this study selects a class of students from a university in Macao as the survey object. The students come from Macao and Chinese mainland. Through in-depth interviews, this study finds the reactions of students from different regions and influenced by different cultures in online learning. The results of the study show that students in the two places are concerned about the advantages, disadvantages, teaching adjustments, and external conditions of online learning. However, it is worth noting that the actual perception of online learning by students is quite different, and the students in Macao show "emotional stimulation", Chinese Mainland students show "rational cognition". For this reason, we propose that the online classroom should be adjusted in accordance with cultural differences in order to achieve better online learning and teaching effects. © 2022 ACM.

2.
12th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2022 ; : 246-251, 2022.
Article in English | Scopus | ID: covidwho-1788638

ABSTRACT

The world is experiencing Covid-19. As the pace of rate of Covid infection 2019 (COVID-19) is quickly expanding in various pieces of world, a dependable conjecture for the aggregate affirmed cases and the quantity of passing can be useful for policymakers in settling on the choices for using accessible assets in the country. The widespread of Covid 19 spoilage the world, with the highest loss of lives in US. To reduce the number of Covid-19 affected population, Vaccine are available in public domain. Some Covid 19 Vaccines are currently in human trials. For the effective result of Covid 19 Vaccine, it must be accepted by maximum number of population. A survey was conducted to analyze the health effect of the vaccine in different category of people. Information was collected such as demographic data (age, sex, gender, marital status), mental condition of people before vaccination, tobacco/smoking, alcohol consumption, people suffering from any prior disease, labour group, people taking precaution medicine after vaccination, prepare for second dose of vaccination. Using these given information we have applied machine learning algorithms to predict if the individual will take the second dose of Covid-19 vaccine or not. © 2022 IEEE.

3.
Forest Chemicals Review ; 2021(July-August):1365-1384, 2021.
Article in English | Scopus | ID: covidwho-1717199

ABSTRACT

Between COVID-19 and the ongoing trade friction between China and the United States, the domestic and international economic situations have become much more complicated. In this context, what is of vital importance is studying the impact of exchange rate fluctuations on trade balance from two perspectives, namely China's international balance of payments and maintaining the smooth operation of the domestic economy. Economists at home and abroad have done considerable research into the relationship between exchange rate fluctuations and trade balance. However, few studies to date have examined the relationship from the perspective of exchange rate pass-through. This paper reviews relevant theories about exchange rate pass-through (EPT in short) and its impact on trade balance, both at home and abroad. A literature review on empirical studies of the relationship between exchange rate pass-through (EPT) and trade balance is also conducted. After that, a brief conclusion of the literature is made. As a result, the findings of this research can provide a reference platform for future scholars who choose to study the relationship between exchange rate fluctuation and its influence on trade balance, from the exchange rate pass-through (EPT) perspective. © 2021 Kriedt Enterprises Ltd. All right reserved.

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