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12th IEEE International Conference on Educational and Information Technology, ICEIT 2023 ; : 238-242, 2023.
Article in English | Scopus | ID: covidwho-2327150


The English learning ability and academic performance of pre-service teachers affect the future professional development of preschool and primary education teachers. The English course has been transferred to online due to COVID-19. Whether the practicability of e-learning is consistent with students' expectations primarily affect teaching effectiveness. A paired-sample t-test on the importance and satisfaction of online English learning effectiveness of pre-service teachers from freshmen to juniors at a private university revealed no significant difference in the overall importance and satisfaction. Then the coordinated system is constructed according to the Importance -Performance Analysis (IPA) to identify the critical indicators for improving the teaching effect of online courses. The results imply that network stability and teachers' timely responses to students' questions should be concentrated. In addition, students are pretty satisfied with the e-learning platform, teaching quality and management, which should be further maintained. The suggestions for improving the effectiveness of online English teaching in private universities are proposed accordingly. © 2023 IEEE.

4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2022 ; : 50-53, 2022.
Article in English | Scopus | ID: covidwho-2327126


In recent years, the novel corona virus pandemic is raging around the world, and the safety of home environment and public environment has become the focus of people's attention [2]. Therefore, the research on disinfection robot has become one of the important directions in the field of machinery and artificial intelligence. This paper proposes a robot with the STM32 MCU as the core of disinfection, and is equipped with a variety of sensors and a camera vision, has the original cloud service management platform, the remote deployment of navigation, based on visual SLAM to realize high precision navigation and positioning, can realize to indoor environment autonomously route planning, automatic obstacle avoidance checking, disinfection, epidemic prevention function, at the same time can pass Bit computer software realizes remote control of robot, which has great development potential. © 2022 ACM.

ACM Transactions on Management Information Systems ; 13(1), 2021.
Article in English | Scopus | ID: covidwho-2326987


(Aim) COVID-19 has caused more than 2.28 million deaths till 4/Feb/2021 while it is still spreading across the world. This study proposed a novel artificial intelligence model to diagnose COVID-19 based on chest CT images. (Methods) First, the two-dimensional fractional Fourier entropy was used to extract features. Second, a custom deep stacked sparse autoencoder (DSSAE) model was created to serve as the classifier. Third, an improved multiple-way data augmentation was proposed to resist overfitting. (Results) Our DSSAE model obtains a micro-averaged F1 score of 92.32% in handling a four-class problem (COVID-19, community-acquired pneumonia, secondary pulmonary tuberculosis, and healthy control). (Conclusion) Our method outperforms 10 state-of-the-art approaches. © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Current Issues in Tourism ; : 1-21, 2023.
Article in English | Web of Science | ID: covidwho-2324452


The global tourism industry is struggling to recover from the COVID-19 pandemic. During the COVID-19 pandemic, daily tourism forecasting is more critical than ever before in supporting decisions and planning. Considering the changes in tourist psyche and behaviour caused by COVID-19, this study attempts to investigate whether the statistical modelling methods can work reliably under the new normal when travel restrictions are eased or lifted. To this end, we first compare the predictivity of daily tourism demand data before and during COVID-19, and observe heterogeneous impacts across different geographical scales. Then an improved multivariate & multiscale decomposition-ensemble framework is proposed to forecast daily tourism demand. The empirical study indicates the superiority and practicability of the proposed framework before and during COVID-19. Finally, we call for more research on the comparability of tourism demand forecasting.

Medical Journal of Wuhan University ; 44(3):266-272, 2023.
Article in Chinese | Scopus | ID: covidwho-2320892
Medical Review ; 2(4):427-445, 2022.
Article in English | Scopus | ID: covidwho-2320848
Medical Journal of Peking Union Medical College Hospital ; 12(1):13-17, 2021.
Article in Chinese | EMBASE | ID: covidwho-2320326
STEM Education ; 2(2):157-172, 2022.
Article in English | Scopus | ID: covidwho-2320325
Chinese Journal of Parasitology and Parasitic Diseases ; 40(5):689-691, 2022.
Article in Chinese | EMBASE | ID: covidwho-2319251
Cmc-Computers Materials & Continua ; 70(2):2797-2813, 2022.
Article in English | Web of Science | ID: covidwho-2311557
International Journal of Applied Earth Observation and Geoinformation ; 117, 2023.
Article in English | Web of Science | ID: covidwho-2308273
Eclinicalmedicine ; 56:1-13, 2023.
Article in English | Web of Science | ID: covidwho-2307835
Chinese Journal of Clinical Infectious Diseases ; 13(1):36-38, 2020.
Article in Chinese | EMBASE | ID: covidwho-2306581
Engineered Regeneration ; 4(3):238-244, 2023.
Article in English | Scopus | ID: covidwho-2306392