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Owing to the global spread of the coronavirus disease 2019 (COVID-19), education has shifted to distance online learning, whereas some face-to-face courses have been resumed with the improvement of the outbreak prevention and management situation, including a laboratory course for senior undergraduate students in chemical biology. Here, we present an innovative chemical biology experiment covering COVID-19 topics, which was created for third-year undergraduates. The basic principles of two nucleic-acid- and antigen-based diagnostic techniques for SARS-CoV-2 are demonstrated in detail. These experiments are designed to provide students with comprehensive knowledge of COVID-19 and related diagnoses in daily life. Crucially, the biosafety of this experimental manipulation was ensured by using artificial nucleic acids and recombinant protein. Furthermore, an interactive hybrid online-facing teaching model was designed to cover the key mechanism regarding PCR and serological tests of COVID-19. Finally, a satisfactory evaluation was obtained through a questionnaire, and simultaneously, reasonable improvements to the course design were suggested. The proposed curriculum provides all the necessary information for other instructors to create new courses supported by research. © 2023 American Chemical Society and Division of Chemical Education, Inc.
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Owing to the continuous variant of the COVID-19 virus, the present epidemic may persist for a long time, and each breakout displays strongly region/time-dependent characteristics. Predicting each specific burst is the basic task for the corresponding strategies. However, the refinement of prevention and control measures usually means the limitation of the existing records of the evolution of the spread, which leads to a special difficulty in making predictions. Taking into account the interdependence of people' s travel behaviors and the epidemic spreading, we propose a modified logistic model to mimic the COVID-19 epidemic spreading, in order to predict the evolutionary behaviors for a specific bursting in a megacity with limited epidemic related records. It continuously reproduced the COVID-19 infected records in Shanghai, China in the period from March 1 to June 28, 2022. From December 7, 2022 when Mainland China adopted new detailed prevention and control measures, the COVID-19 epidemic broke out nationwide, and the infected people themselves took "ibuprofen” widely to relieve the symptoms of fever. A reasonable assumption is that the total number of searches for the word "ibuprofen” is a good representation of the number of infected people. By using the number of searching for the word "ibuprofen” provided on Baidu, a famous searching platform in Mainland China, we estimate the parameters in the modified logistic model and predict subsequently the epidemic spreading behavior in Shanghai, China starting from December 1, 2022. This situation lasted for 72 days. The number of the infected people increased exponentially in the period from the beginning to the 24th day, reached a summit on the 31st day, and decreased exponentially in the period from the 38th day to the end. Within the two weeks centered at the summit, the increasing and decreasing speeds are both significantly small, but the increased number of infected people each day was significantly large. The characteristic for this prediction matches very well with that for the number of metro passengers in Shanghai. It is suggested that the relevant departments should establish a monitoring system composed of some communities, hospitals, etc. according to the sampling principle in statistics to provide reliable prediction records for researchers. © 2023 Chinese Physical Society.
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We employed publicly available user-generated content (UGC) data from the website Tripadvisor and developed an autoregressive integrated moving average (ARIMA) model using the R language to analyze the seasonality of the use of urban green space (UGS) in Okinawa under normal conditions and during the COVID-19 pandemic. The seasonality of the use of ocean-area UGS is primarily influenced by climatic factors, with the peak season occurring from April to October and the off-peak season from November to March. Conversely, the seasonality of the use of non-ocean-area UGS remains fairly stable throughout the year, with a relatively high number of visitors in January and May. The outbreak of the COVID-19 pandemic greatly impacted visitor enthusiasm for travel, resulting in significantly fewer actual postings compared with predictions. During the outbreak, use of ocean-area UGS was severely restricted, resulting in even fewer postings and a negative correlation with the number of new cases. In contrast, for non-ocean-area UGS, a positive correlation was observed between the change in postings and the number of new cases. We offer several suggestions to develop UGS management in Okinawa, considering the opportunity for a period of recovery for the tourism industry.
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The United Nations Secretary-General Mechanism (UNSGM) for investigation of the alleged use of chemical and biological weapons is the only established international mechanism of this type under the UN. The UNGSM may launch an international investigation, relying on a roster of expert consultants, qualified experts, and analytical laboratories nominated by the member states. Under the framework of the UNSGM, we organized an external quality assurance exercise for nominated laboratories, named the Disease X Test, to improve the ability to discover and identify new pathogens that may cause possible epidemics and to determine their animal origin. The "what-if" scenario was to identify the etiological agent responsible for an outbreak that has tested negative for many known pathogens, including viruses and bacteria. Three microbes were added to the samples, Dabie bandavirus, Mammarenavirus, and Gemella spp., of which the last two have not been taxonomically named or published. The animal samples were from Rattus norvegicus, Marmota himalayana, New Zealand white rabbit, and the tick Haemaphysalis longicornis. Of the 11 international laboratories that participated in this activity, six accurately identified pathogen X as a new Mammarenavirus, and five correctly identified the animal origin as R. norvegicus. These results showed that many laboratories under the UNSGM have the capacity and ability to identify a new virus during a possible international investigation of a suspected biological event. The technical details are discussed in this report.Copyright © 2022
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Objective To understand the health and professional consciousness and mental health of military medical students during coronavirus disease 2019 (COVID-19) epidemic. Methods From Feb. 17 to Feb. 20, 2020, an electronic questionnaire was used to investigate the attitudes and coping styles of military medical students towards quarantine and delay of school opening, their attitudes towards online teaching, and health and professional consciousness during COVID-19 epidemic;and their mental health status was scored by symptom checklist 90 (SCL-90). Results A total of 2 736 valid questionnaires were collected. The students basically understood and agreed with the quarantine and delay of school opening during the epidemic, and 70.83% (1 938/2 736) supported online teaching. During the quarantine period, 85.31% (2 334/2 736) of the students chose to listen to music or watch TV series for relaxation, and 64.69% (1 770/2 736) insisted on learning, reading literatures or writing papers. Students could basically form the habits of washing hands frequently and wearing masks, and their consciousness of health protection was higher than that before the epidemic. For military medical students, their professional beliefs and determination have been strengthened during the epidemic, and many students wanted to join in the fight against the epidemic. The survey found that 12.94% (354/2 736) of the students had mental health symptoms, and the top 3 SCL-90 factors were obsessive-compulsive disorder (78.53%, 278/354), interpersonal sensitivity (64.12%, 227/354), and depression (44.07%, 156/354). Conclusion During the epidemic, military medical students can generally adapt to the difficult environment and improve themselves. The mental health problems of military medical students have their own characteristics, special attention must to be paid, and the humanistic education of medical students should be strengthened.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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SARS-CoV-2 aptamer is a favorable candidate for the recognition and detection of SARS-CoV-2, owing to its small size and easy synthesis. However, the issue of compromised binding affinities in real samples and targeting mutant SARS-CoV-2 hinder wide applications of the aptamer. In this study, it is discovered that molecular crowding could increase binding affinity of CoV2-6C3 aptamer against RBD (Receptor Binding Domain) of SARS-CoV-2 via increasing the absolute value of the enthalpy change. The values of the equilibrium dissociation constant in molecular crowding decrease by 70% and 150%, respectively, against wild-type and mutant RBD compared with those in buffer without crowding. Moreover, the detection limit of SARS-CoV-2 pseudovirus is up to 5 times lower under molecular crowding compared to dilute conditions. The discovery deepens the understanding of aptamer-target interaction mechanisms in crowding conditions and provides an effective way to apply SARS-CoV-2 aptamer for virus recognition and detection.
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Objective To explore the clinical effect and safety of Suhexiang Pills () in the treatment of patients infected with SARS-CoV-2. Methods A total of 192 patients infected with SARS-CoV-2 admitted to 17 hospitals including Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University from December 2022 to January 2023 were randomly divided into control group and treatment group, with 89 patients in the treatment group and 103 in the control group. The patients in control group received basic treatment according to the Diagnosis and Treatment Protocol for COVID-19 (Trial Version 10). The patients in treatment group were oral administered with Suhexiang Pills on the basis of the control group, one pill each time, twice day. The patients in two groups were treated for 5 d. The clinical efficacy of the two groups after treatment was compared. The differences in scores of headache, chest pain, limb pain and inflammatory indexes before and after treatment were compared. Results After treatment, the total clinical effective rate of the treatment group was 95.51%, which was significantly higher than that of the control group (81.55%, P < 0.05). After treatment, headache, chest pain and limb pain scores were significantly decreased in both groups (P < 0.05), the headache score of the treatment group was significantly lower than that of the control group from the first day of treatment (P < 0.05), the chest pain score of the treatment group was significantly lower than that of the control group on the fifth day of treatment (P < 0.05), the limb pain score of the treatment group was significantly lower than that of the control group from the third day of treatment (P < 0.05). After treatment, the levels of C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6) in the two groups were decreased significantly (P < 0.05) and the levels of CRP and IL-6 in the treatment group were significantly lower than those of the control group (P < 0.05). There was no significant difference in the incidence of adverse events between the two groups. Conclusion Suhexiang Pills have a certain effect on headache, chest pain and limb pain, inhibiting the inflammatory response in patients infected with SARS-CoV-2, with good safety.Copyright © 2023 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.
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While higher education institutions promptly responded to the transition to online or blended practices as a result of COVID-19, there is limited current understanding of how first-year PhD students committed themselves to various online networking experiences during their initial stage of professional development. By drawing on Kolb's experiential learning cycle, this chapter elicits two first-year international PhD students' professional trajectories of forming our professional identities in academia during the COVID-19 pandemic. Despite engaging with different professional socialisation activities, we both underwent three transformative stages which we classify as acquiring knowledge, establishing networks, and gaining validation. Our findings indicate that our dynamic and consecutive professional identity formation transitioned through three stages: a doctoral student, an institutional member, and an early career researcher. This chapter reveals how this linear three-stage process respectively unfolds for different international doctoral students. In this regard, relevant implications are proposed for current and prospective international doctoral students and their institutions to refer to in better facilitating international doctoral students' professional identity development during and beyond COVID-19 pandemic. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.
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Online social media provides rich and varied information reflecting the significant concerns of the public during the coronavirus pandemic. Analyzing what the public is concerned with from social media information can support policy-makers to maintain the stability of the social economy and life of the society. In this article, we focus on the detection of the network public opinions during the coronavirus pandemic. We propose a novel Relational Topic Model for Short texts (RTMS) to draw opinion topics from social media data. RTMS exploits the feature of texts in online social media and the opinion propagation patterns among individuals. Moreover, a dynamic version of RTMS (DRTMS) is proposed to capture the evolution of public opinions. Our experiment is conducted on a real-world dataset which includes 67,592 comments from 14,992 users. The results demonstrate that, compared with the benchmark methods, the proposed RTMS and DRTMS models can detect meaningful public opinions by leveraging the feature of social media data. It can also effectively capture the evolution of public concerns during different phases of the coronavirus pandemic. © 2021 Association for Computing Machinery.
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COVID-19 pandemics lead to further shortages of beds globally. Ningbo No.1 Hospital implemented an integrated digital management system to tackle inefficiency in the discharge process, however, this problem is not fully solved. To help the hospital fully address this problem, this article identifies the problems in the hospital's dataset and proposes a methodology for the machine learning model training in order to predict the patient's leaving time, which provides a space for the hospital to improve the discharge process when procedures simplify, integration and digitalization are done. © 2022 IEEE.
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Objective To understand the health and professional consciousness and mental health of military medical students during coronavirus disease 2019 (COVID-19) epidemic. Methods From Feb. 17 to Feb. 20, 2020, an electronic questionnaire was used to investigate the attitudes and coping styles of military medical students towards quarantine and delay of school opening, their attitudes towards online teaching, and health and professional consciousness during COVID-19 epidemic;and their mental health status was scored by symptom checklist 90 (SCL-90). Results A total of 2 736 valid questionnaires were collected. The students basically understood and agreed with the quarantine and delay of school opening during the epidemic, and 70.83% (1 938/2 736) supported online teaching. During the quarantine period, 85.31% (2 334/2 736) of the students chose to listen to music or watch TV series for relaxation, and 64.69% (1 770/2 736) insisted on learning, reading literatures or writing papers. Students could basically form the habits of washing hands frequently and wearing masks, and their consciousness of health protection was higher than that before the epidemic. For military medical students, their professional beliefs and determination have been strengthened during the epidemic, and many students wanted to join in the fight against the epidemic. The survey found that 12.94% (354/2 736) of the students had mental health symptoms, and the top 3 SCL-90 factors were obsessive-compulsive disorder (78.53%, 278/354), interpersonal sensitivity (64.12%, 227/354), and depression (44.07%, 156/354). Conclusion During the epidemic, military medical students can generally adapt to the difficult environment and improve themselves. The mental health problems of military medical students have their own characteristics, special attention must to be paid, and the humanistic education of medical students should be strengthened.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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The COVID-19 pandemic has highlighted the importance of indoor air quality (IAQ) since SARS-CoV-2 may be transmitted through virus-laden aerosols in poorly ventilated spaces. Multiple air cleaning technologies have been developed to mitigate airborne transmission risk and improve IAQ. In-duct bipolar ionization technology is an air cleaning technology that can generate ions for inactivating airborne pathogens and increasing particle deposition and removal while without significant byproducts generated. Many commercial in-duct ionization systems have been developed but their practical performance on pollutant removal and potential formation of byproducts have not been investigated comprehensively. The results in this study showed that the in-duct bipolar ionization technology can significantly improve the particle removal efficiency of the regular filter, while no significant ozone and ion were released to the indoor air. © 2022 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. All rights reserved.
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Urbanization is essential for human development and progress. Therefore, it is urgent to study urban public open space (POS) under the dual impact of urbanization construction and the global COVID-19 outbreak. Bibliometric visual analysis is currently popular in academia, as it can be used to analyze specific fields. This research summarizes the development history, hotspots, and trends in POS, with theoretical and data support based on the Web of Science (WoS) Core Collection. The study period was from 2002 to 2022. A total of 398 papers were collected, with the number of papers increasing over time. The research covers various fields, including environment, architecture, ecology, geography, design, behavior, etc. The results show that POS research hotspots include form layout, social value, and sustainable renewal. This paper demonstrates that there is a lack of vitality in urban POS. Although affected by the COVID-19 pandemic, the fundamental reason for this is that the vitality of POS is not created from multiple dimensions. Vitality should be enhanced according to the space's terrain, ecology, environment, and other factors. POS research lacks crossdisciplinary collaboration and the fusion of multiple fields. Thus, cooperation between the various disciplines involved must be strengthened. In the future, POS research should change its design concept, continue to place the "human" in the leading position, establish a multidisciplinary research system, use local empirical cases, and develop applicable theories that can be extended upon. Thus, it will be possible to build harmonious open spaces that enhance the relationship between the people and the land and provide practical solutions for other countries in which urbanization is advancing.
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The contagious nature of the Covid-19 coronavirus has seriously challenged universities all over the world, as millions of students have been unable to attend classes on campus. For universities such as BNU-HKBU United International College (UIC), given the loss of face-to-face communication channels, social media such as UIC WeChat Account have been playing an important role in connecting students, parents and the university, and in displaying the university's image. The shift toward the use of social media during the Covid-19 pandemic has drawn our attention to the fact that most scholarly discussion of university image building has been from the perspective of tertiary institution management, while little attention has been given to the multimodal resources employed in WeChat posts during the image building process. This study thus focuses on an investigation, from a multimodal perspective, of image building of UIC, a higher education institution with English as the medium of instruction in China, during the Covid-19 pandemic. The study was conducted by drawing on the theoretical framework of the Corporate Identity system (CIS) which includes the Mind Identity System (MIS), Behavior Identity System (BIS) and Visual Identity System (VIS). From a bottom-up approach, in the first place, posts published by UIC from the outbreak of the pandemic were collected to build a small corpus. Then texts and pictures were categorized and analyzed to find out how different components and modes work together to form the BIS and VIS, and what MIS of UIC has been demonstrated. The study shows how multimodal resources on social media have supported the development of a university image in a time of crisis and social distancing. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
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[Background] The epidemic of coronavirus disease 2019 (COVID-19) seriously affects the psychological status of medical staff who directly face the risk of the disease. [Objective] This study investigates the prevalence and related factors of depression, anxiety, and insomnia among medical staff during the COVID-19 pandemic. [Methods] From February 13 to March 1, 2020, a network questionnaire survey was conducted among 482 medical staff selected by convenience sampling. A self-designed questionnaire was used to investigate the basic demographic information and COVID-19-related questions. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI) were used to estimate the prevalence of depression, anxiety, and insomnia among the medical staff. Stepwise multiple linear regression analysis was performed with PHQ-9 score, GAD-7 score, and ISI score as dependent variables. Multivariate logistic regression analysis (forward-conditional method) on depression, anxiety, and insomnia as dependent variables was performed with basic demographic information and COVID-19-related questions as independent variables. [Results] Among the surveyed medical staff, the prevalence rates of depression, anxiety, and insomnia were 14.3%, 11.2%, and 23.2%, respectively. There were no significant differences in the prevalence rates among different age, gender, local risk level, and occupation groups and those aiding Hubei Province or not. The medical staff who directly contacted fever or diagnosed patients had more serious depression (b=1.73, 95%CI: 0.79-2.66) and insomnia (b=2.43, 95%CI: 1.48-3.39) and a higher risk of insomnia (OR=1.89, 95%CI: 1.21-2.96). The medical staff whose current protective measures cannot prevent infection had more serious depression (b=1.72, 95% CI: 0.65-2.80), anxiety (b=1.75, 95% CI: 0.76-2.75), and insomnia (b=1.73, 95% CI: 0.63-2.82), and had a higher risk of depression (OR=1.97, 95% CI: 1.11-3.49), anxiety (OR=3.00, 95%CI: 1.64-5.46), and insomnia (OR=1.79, 95%CI: 1.08-2.96). [Conclusion] During the COVID-19 epidemic, the risks of depression, anxiety, and insomnia among selected medical staff are increased compared with the non-epidemic period. Occupational exposure to high-risk groups and protective measures would significantly affect mental health of medical staff.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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This research aims to address the lack of research on hotel employee resilience during a crisis (HERC) and the absence of a measurement scale to assess it. A mixed-method approach was used to conceptualize HERC, identify its dimensions, and build a measurement scale. In Study 1, an online survey of 69 employees from upscale hotels was conducted, revealing a five-factor HERC model comprising resistance, adaptability, cooperation, restoration, and thriving. Study 2 developed preliminary measurement items for HERC, which were refined through exploratory factor analysis (EFA). Study 3 conducted another round of surveys and used a confirmatory factor analysis (CFA) to verify the factors generated from the second study. This research provides a comprehensive five-factor model of employee resilience during a crisis and a corresponding measurement scale, offering a theoretical foundation for hotel managers to develop effective strategies to manage crises. © 2023 Informa UK Limited, trading as Taylor & Francis Group.