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Zhonghua Yu Fang Yi Xue Za Zhi ; 55(9): 1149-1152, 2021 Sep 06.
Article in Chinese | MEDLINE | ID: covidwho-1463876


To investigate whether the laboratory specimens preserved in Beijing Hospital Biobank during a specific period had been contaminated by SARS-Cov-2 through a cross-sectional study, and to establish a retrospective biobank safety screening system. Laboratory specimens were collected from the Department of Respiratory and Critical Care Medicine and the Fever Clinic of Beijing Hospital from November 1, 2019 to January 22, 2020, nucleic acid and serological antibody testing were performed for SARS-CoV-2 in these specimens (including 79 serum, 20 urine, 42 feces and 21 bronchoalveolar lavage fluid specimens). The safety of the stored samples during this period was defined by negative and positive results. Both the nucleic acid test and serological antibody test showed negative for SARS-CoV-2, indicating that these specimens were safely stored in the biobank. High-risk specimens collected in our hospital during the early stage of the COVID-19 outbreak are free of SARS-CoV-2, and a safety screening strategy for the clinical biobank is established to ensure the biosafety of these samples.

Biological Specimen Banks , COVID-19 , Cross-Sectional Studies , Hospitals , Humans , Retrospective Studies , SARS-CoV-2
Proceedings of 2020 Ieee International Conference on Teaching, Assessment, and Learning for Engineering ; : 31-38, 2020.
Article in English | Web of Science | ID: covidwho-1312298


Many universities around the world arc now providing online courses on platforms of MOOC (Massive Open Online Course) related to the COVID-19 outbreak. Therefore, it is important for universities to quantify student-learning effectiveness based on MOOC. However, its operation faces many challenges to educational administrators and teachers. The most important thing is that the completion rate of learners is usually low, and therefore it is not comprehensive and objective to directly use online data to assess and predict the student-learning effectiveness. In order to assess multi-stage learning effectiveness of students in MOOC comprehensively, we proposed MOLEAS, a multi-stage online learning effectiveness assessment scheme. First, MOLEAS uses matrix completion to predict missing learning data of students. We take two open courses offered in the icourse MOOC platform as examples to analyze online data, and then we study the student-learning effectiveness using the matrix completion. The prediction results prove the effectiveness and reliability of our model. Then, combined with the prediction, MOLEAS utilizes the influencing factors of student-learning effectiveness, and a series of measures to improve the entire learning effectiveness of students in MOOC. What is more, we design a simulation practice platform which presents strong support to practice online teaching.

Frontiers of Economics in China ; 15(4):521-540, 2020.
Article in English | Scopus | ID: covidwho-1256709


This paper addresses the reactions of domestic helpers to the Wuhan (Hubei Province) lockdown that began on January 23, 2020. We use a novel dataset containing the information of over 40,000 Chinese domestic helpers registered on a leading professional website from November 2019 to June 2020. The results indicate a declining pattern of short-term labor supply of domestic helpers across 11 major Chinese cities, which shows an increase in the expected monthly wage of domestic helpers in these cities. More importantly, using a difference-in-difference (DID) model, this paper provides some evidence on the existence of labor market discrimination against domestic helpers born in Hubei Province due to employers’ fear of infection. © 2020 Higher Education Press Limited Company. All rights reserved.