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Objective Based on text mining technology and biomedical database, data mining and analysis of coronavirus disease 2019 (COVID-19) were carried out, and COVID-19 and its main symptoms related to fever, cough and respiratory disorders were explored. Methods The common targets of COVID-19 and its main symptoms cough, fever and respiratory disorder were obtained by GenCLiP 3 website, Gene ontology in metascape database (GO) and pathway enrichment analysis, then STRING database and Cytoscape software were used to construct the protein interaction network of common targets, the core genes were screened and obtained. DGIdb database and Symmap database were used to predict the therapeutic drugs of traditional Chinese and Western medicine for the core genes. Results A total of 28 gene targets of COVID-19 and its main symptoms were obtained, including 16 core genes such as IL2, IL1B and CCL2. Through the screening of DGIdb database, 28 chemicals interacting with 16 key targets were obtained, including thalidomide, leflunomide and cyclosporine et al. And 70 kinds of Chinese meteria medica including Polygonum cuspidatum, Astragalus membranaceus and aloe. Conclusion The pathological mechanism of COVID-19 and its main symptoms may be related to 28 common genes such as CD4, KNG1 and VEGFA, which may participate in the pathological process of COVID-19 by mediating TNF, IL-17 and other signal pathways. Potentially effective drugs may play a role in the treatment of COVID-19 through action related target pathway.Copyright © 2022 Tianjin Press of Chinese Herbal Medicines. All Rights Reserved.
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Objective: To examine COVID-19 vaccine uptake and its determinants among teenagers and their parents in Zhejiang, China. Method(s): An online cross-sectional study was conducted among parents of teenagers in Zhejiang, China from May 1 to 31, 2022. Data were interpreted via univariate and multivariate analyses using the statistical package for the social sciences (SPSS) program. Result(s): A total of 11115 (96.11%) participants and 11449 (99.00%) of their children in Zhejiang, China had been vaccinated against COVID-19. Children whose parents did not receive COVID-19 vaccination were 19 times (aOR 18.96, 95%CI 12.36-29.08) more likely to be unvaccinated than their counterparts. In addition, children with no previous influenza vaccination, those whose parents doubted the COVID-19 vaccine's safety or effectiveness, were 6.11 times (aOR 6.11, 95%CI 2.80-13.34), 8.27 times (aOR 8.27, 95%CI 5.33-12.83), and 2.69 times (aOR 2.69, 95%CI 1.11-6.50) more likely to be unvaccinated than their counterparts, respectively. COVID-19 vaccine uptake varied between different sociodemographic groups. However, the odds of receiving the COVID-19 vaccine decreased as age and education level increased. The main refusal reasons claimed by participants were that they had medical conditions that may not qualify them for vaccination (53.78%), followed by safety concerns about the vaccine (13.56%), not knowing where to get vaccinated (6.44%), and concerns about fertility issues (5.56%). Conclusion(s): Despite a highly encouraging level of COVID-19 vaccine uptake in Zhejiang, China, the elderly and highly educated people had lower COVID-19 vaccine uptake. It is suggested that tailored health education strategies should be taken to increase the COVID-19 vaccine uptake in such groups. Furthermore, with vaccination rates at such a high level, the pandemic is still ongoing, and public confidence in vaccines may decline. Thus, sufficient evidence-based information regarding COVID-19 vaccines should be provided to the public. Copyright © 2023 Asian Pacific Journal of Tropical Medicine.
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Faced with linguicism, racism, and xenophobia aggravated by COVID-19 and political tensions in recent years, multilingual international students, especially those of Asian descent, are in urgent need of engaging in healing practices for meaningful identity expression, restoration, and peace. Translingualism is a justice-oriented literacy practice that disrupts the boundaries of named languages and allows communicators to draw upon all resources in their linguistic repertoires. Storytelling, as a powerful research method and a pedagogical tool, offers a unique opportunity to encourage multilingual students' translingual meaning making for healing. This qualitative case study examined how multimodal translingual storytelling functioned as a form of restoration and peace for a first-semester Chinese student pursuing her graduate degree in English at a private university in the United States. The findings indicate that when offered opportunities to reflect on her cultural and linguistic identities, the participant was likely to detach deficit self-perceptions as an "English language learner" and embrace her differences as a strength, which benefited her first-semester language and academic experiences. This study calls for pedagogical strategies and curriculum design that open up humanizing spaces for culturally and racially minoritized multilingual students by acknowledging, valuing, and inviting their whole linguistic repertories through multimodal, translingual storytelling.
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Objective: To examine COVID-19 vaccine uptake and its determinants among teenagers and their parents in Zhejiang, China. Methods: An online cross-sectional study was conducted among parents of teenagers in Zhejiang, China from May 1 to 31, 2022. Data were interpreted via univariate and multivariate analyses using the statistical package for the social sciences (SPSS) program. Results: A total of 11115 (96.11%) participants and 11449 (99.00%) of their children in Zhejiang, China had been vaccinated against COVID-19. Children whose parents did not receive COVID-19 vaccination were 19 times (aOR 18.96, 95%CI 12.36-29.08) more likely to be unvaccinated than their counterparts. In addition, children with no previous influenza vaccination, those whose parents doubted the COVID-19 vaccine's safety or effectiveness, were 6.11 times (aOR 6.11, 95%CI 2.80-13.34), 8.27 times (aOR 8.27, 95%CI 5.33-12.83), and 2.69 times (aOR 2.69, 95%CI 1.11-6.50) more likely to be unvaccinated than their counterparts, respectively. COVID-19 vaccine uptake varied between different sociodemographic groups. However, the odds of receiving the COVID-19 vaccine decreased as age and education level increased. The main refusal reasons claimed by participants were that they had medical conditions that may not qualify them for vaccination (53.78%), followed by safety concerns about the vaccine (13.56%), not knowing where to get vaccinated (6.44%), and concerns about fertility issues (5.56%). Conclusions: Despite a highly encouraging level of COVID-19 vaccine uptake in Zhejiang, China, the elderly and highly educated people had lower COVID-19 vaccine uptake. It is suggested that tailored health education strategies should be taken to increase the COVID-19 vaccine uptake in such groups. Furthermore, with vaccination rates at such a high level, the pandemic is still ongoing, and public confidence in vaccines may decline. Thus, sufficient evidence-based information regarding COVID-19 vaccines should be provided to the public.
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The Centers for Disease Control and Prevention (CDC), is an elite force for disease prevention and control, serving as the core force for blocking and contain the epidemic. Which plays a central role in fighting COVID-19 epidemic in China. However, during the process, its also exposed some problems: lack of comprehensive capacity building program, fragmented knowledge and skills, epidemiological investigation instrument is outdated, insufficient training on emergency management ability, emphasize investment in infrastructure, equipment and techniques but pay less attention to constantly updating the risk monitoring and alerting system as well as other important coordinating mechanisms, which will affect the well functioning of CDC system. In order to effectively curb the possible rebound of this epidemic and prevent the recurrence of new infectious diseases, we urgently need to reflect and summarize the experience and lessons of this outbreak response, and put forward more targeted policy options for future improvement.Copyright © 2020 Chinese Medical Association. All rights reserved.
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The underlying assumption of using investor sentiment to predict stock prices, stock market returns, and liquidity is that of synergy between stock prices and investor sentiment. However, this synergistic relationship has received little attention in the literature. This paper investigates the synergistic pattern between stock prices and investor sentiment using social media messages from stock market investors and natural language processing techniques. At the macro level, we reveal extremely significant positive synergy between investor sentiment and stock prices. That is, when a stock price rises, investor sentiment rises, and when a stock price falls, investor sentiment falls. However, this synergy may be reversed or even disappear over a specific time period. Through a segmented measurement of the synergy between stock prices and investor sentiment over the course of a day, we also find that investor sentiment on social media is forward looking. This provides theoretical support for using investor sentiment in stock price prediction. We also examine the effect of lockdowns, the most draconian response to COVID-19, on synergy between stock prices and investor sentiment through causal inference machine learning. Our analysis shows that external anxiety can significantly affect synergy between stock prices and investor sentiment, but this effect can promote either positive or negative synergy. This paper offers a new perspective on stock price forecasting, investor sentiment, behavioral finance, and the impact of COVID-19 on the stock markets. Copyright (c) 2022 Borsa Istanbul Anonim S, irketi. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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Contributing to the scarce empirical examination of multilingual student writers' feedback literacy development in ESL contexts, this exploratory qualitative study drew upon five multilingual international students' feedback interactions, their developing drafts and end-of-unit reflections to empirically examine and extend Yu et al.'s (2022) five-dimension feedback literacy model. Focusing on multilingual students' experiences appreciating feedback, making judgements, managing affect, taking action, and acknowledging different feedback sources in an asynchronous online first-year undergraduate writing course during COVID-19, this study explored challenges and opportunities during participants' feedback literacy development throughout a literacy narrative unit. Findings of the study shed light on growing and investigating multilingual writers' feedback literacy development in online-instructed spaces and point out directions for future research. © 2023 Elsevier Inc.
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Due to COVID-19, wearing masks has become more common. However, it is challenging to recognize expressions in the images of people wearing masks. In general facial recognition problems, blurred images and incorrect annotations of images in large-scale image datasets can make the model's training difficult, which can lead to degraded recognition performance. To address this problem, the Self-Cure Network (SCN) effectively suppresses the over-fitting of the network to images with uncertain labeling in large-scale facial expression datasets. However, it is not clear how well the SCN suppresses the uncertainty of facial expression images with masks. This paper verifies the recognition ability of SCN on images of people wearing masks and proposes a self-adjustment module to further improve SCN (called SCN-SAM). First, we experimentally demonstrate the effectiveness of SCN on the masked facial expression dataset. We then add a self-adjustment module without extensive modifications to SCN and demonstrate that SCN-SAM outperforms state-of-the-art methods in synthetic noise-added FER datasets. © 2023 Global IT Research Institute (GiRI).
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During the COVID-19 outbreak, many healthcare workers (HCWs) have been infected because they failed to comply with the correct process of donning and doffing personal protective equipment (PPE). Based on this, we develop a gesture-controlled system that not only can train HCWs but also can give HCWs real-time guidance during the process of donning and doffing PPE. It can effectively prevent the infection of HCWs. We first use the hand detection algorithm to locate the position of the HCWs, helping them to enter the proper area. Then they can use our gesture recognition algorithm to control the playback of the videos which guides them in donning and doffing PPE. We verify the effectiveness of the system through a series of experiments. The results show the great value of our system in the protection of HCWs. © 2022 IEEE.
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System justification and meritocratic beliefs legitimize the status quo of economic, social, and political arrangements, and may correlate with favourable evaluations of governments' performance during the COVID-19 pandemic. This study furthers research on this topic by examining (1) the cultural value antecedents of system justification and meritocratic beliefs, and (2) the differential effects of these on attitudes toward ingroups and outgroups from an intergroup perspective. The results show that collectivist values positively predict system justification and meritocratic beliefs, whereas a similar effect was not observed for individualist values. As hypothesized, system justification motivation was positively associated with favourable evaluation of the Chinese government (an ingroup). By contrast, system justification and meritocratic beliefs were negatively associated with evaluation of the American government (an outgroup). We discussed the implications for understandings of the cultural value bases of system justification and meritocratic beliefs, and the relevance of the lens of intergroup relations in studying those beliefs. © 2023 Asian Association of Social Psychology and John Wiley & Sons Australia, Ltd.
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OBJECTIVE: Transplant recipients have a higher risk of SARS-CoV-2 infection owing to the use of immunosuppressive drugs like tacrolimus (FK506). FK506 and nirmatrelvir (NMV) (an anti-SARS-CoV-2 drug) are metabolized by cytochrome P450 3A4 and may have potential drug-drug interactions. It is important to determine the effect of NMV on FK506 concentrations. PATIENTS AND METHODS: Following protein precipitation from blood, FK506 and its internal standard (FK506-13C,2d4) were detected by ultra-high performance liquid chromatography/tandem mass spectrometry (UHPLC-MS/MS). Total 22 blood samples (valley concentrations) from two coronavirus disease 2019 (COVID-19) patients were collected and analyzed for FK506 concentrations. RESULTS: Blood levels of FK506 (0.5-100 ng/mL) showed good linearity. The UHPLC-MS/MS method was validated with intra- and inter-batch accuracies of 104.55-107.85%, and 99.52-108.01%, respectively, and precisions of < 15%. Mean blood FK506 concentration was 12.01 ng/mL (range, 3.15-33.1 ng/mL). Five-day co-administration with NMV increased the FK506 concentrations from 3.15 ng/mL to 33.1 ng/mL, returning to 3.36 ng/mL after a 9-day-washout. CONCLUSIONS: We developed a simple quantification method for therapeutic drug monitoring of FK506 in patients with COVID-19 using UHPLC-MS/MS with protein precipitation. We found that NMV increased FK506 blood concentration 10-fold. Therefore, it is necessary to re-consider co-administration of FK506 with NMV.
Subject(s)
COVID-19 , Tacrolimus , Humans , Chromatography, High Pressure Liquid/methods , Tandem Mass Spectrometry/methods , SARS-CoV-2 , Lactams , Leucine , Reproducibility of Results , Drug MonitoringABSTRACT
From the perspective of multiple insurance subjects, this article studies the purchase of COVID-19 business interruption insurance under the government's direct subsidy model and the indirect subsidy model, so as to provide decision support for the collaborative management and control of interruption risks in the supply chain. Research conclusions are as follows: The COVID-19 business interruption insurance can effectively transfer the enterprise interruption risk, and when the manufacturer purchases insurance or joint (manufacturer and seller) purchase insurance, the effect of interruption risk transfer is better than when the seller purchases insurance;The risk transfer effect of the COVID-19 business interruption insurance mainly depends on the three key influencing factors of the interruption penalty coefficient, the government subsidy model and the premium rate. The combined effect of the three factors has caused changes in the decision boundary of the COVID-19 business interruption insurance purchase decision. As a result, joint purchase under the indirect subsidy model, joint purchase under the direct subsidy model, and manufacturer purchase under the direct subsidy model may all become the optimal purchase decision;The value realization and value appreciation paths of the COVID-19 business interruption insurance under different purchasers are different. © 2022 Systems Engineering Society of China. All rights reserved.
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The objective of this article is to summarize the available technologies for biosensing applications in C O V I D - 1 9. The article is divided into three parts, an introduction to biosensing technologies, applications of mainstream biosensing technologies and a review of biosensing applications in C O V I D - 1 9. The introduction of biosensors presents the history of inventing the biosensing technology, which refers to the I S F E T . The resonant biosensor with the example of M E M S . the principle of optical biosensor, and the thermal biosensor. In the second part, the main use of biosensing techniques, it was discussed the field of the food industry, environmental monitoring, and the medical industry. In the part of biosensor application in C O V I D - 19, it was mentioned that the technique of P O C T, the use of R T - L A M P - N B S in the early detection in China, and the use in g R T - P C R for the detection of the D N A code to determine the presence of pathogen of C O V L D - 19inthe human body. © The Authors, published by EDP Sciences.
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Objective To investigate parents' acceptance to the COVID-19 vaccine booster shots for their children aged 3-11 years in Nanjing based on the theory of planned behavior and to provide a scientific theoretical basis for carrying out COVID-19 booster vaccination among children of this age group. Methods A total of 1 286 parents of children aged 3-11 years in Nanjing were selected by multistage stratified cluster sampling. A questionnaire survey based on the theory of planned behavior was used to investigate their willingness to vaccinate their children with the COVID-19 booster dose and structural equation model was used to conduct data analysis. Results About 90.2% of parents were willing to give their children a booster dose of the COVID-19 vac￣cine. The model constructed based on the theory of planned behavior could explain 42.2% of the variance of vaccination acceptance. Attitudes and perceived behavioral control had a direct positive effect on parents' acceptance to booster dose of the COVID-19 vac￣cine path coefficients were 0.47 and 0.18 P<0.01 The direct effect of subjective norms on vaccination acceptance was not sta￣tistically significant Perceived behavioral control and subjective norms could have indirect positive effects on vaccination accept￣ance through attitudes path coefficients were 0.27 and 0.13 P<0.01 . Conclusion Parents in Nanjing have a higher acceptance to vaccinate their children aged 3-11 years with the COVID-19 vaccine booster dose. The theory of planned behavior shows a good explanatory ability on parents' acceptance to vaccinate their children and attitude plays an important role in the formation of vacci￣nation acceptance. © 2022 Chinese Journal of School Health. All right reserved.
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BACKGROUND Despite growing concern regarding the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) delta variant of concern (VOC), the respiratory and physical functions of patients with delta VOC post-discharge have not been investigated compared to those of patients with ancestral SARS-CoV-2.METHODS Sixty-three discharged patients with coronavirus disease (COVID-19) were included. Patients were divided into delta VOC and ancestral SARS-CoV-2 groups. On Day 14 post-discharge, differences in chest computed tomography, modified Medical Research Council and Borg Dyspnoea Scale scores, and Manual Muscle Test scores were compared. Prognoses of respiratory and physical function were compared between patients who recovered from moderate and severe COVID-19.RESULTS Of the 63 patients, respectively 28 and 35 were in the delta VOC and ancestral SARS-CoV-2 groups. On Day 14 post-discharge, 35 patients (56.5%) had abnormalities on imaging. Visual semi-quantitative scores of both lungs were significantly higher in the severe group. However, there was no difference in this or any other score ratings between the groups.CONCLUSION At 14 days post-discharge, ground glass opacities and pleural thickening were the most common residual findings; no difference in respiratory and physical functions during the convalescence period were noted in patients with SARS-CoV-2 delta VOC and ancestral SARS-CoV-2.
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COVID-19 , SARS-CoV-2 , Aftercare , Humans , Patient DischargeABSTRACT
:With the widespread application of information technology, the enhancement of college students' digital literacy skills has become a global concern, especially after the outbreak of COVID-19, which made regular and orderly classroom teaching impossible and eventually forced a large number of schools to focus on online courses. This paper adopts a case study approach and selects the top ten international fashion colleges as the research sample to analyze three aspects: theme-based teaching, blended teaching approach, and credit certification, and finds that the existing international fashion colleges' online education is mainly based on design-based theme-based courses. This paper adopts a blended teaching study with student-initiated learning at its core and found that: the online education of existing international fashion institutions mainly focuses on design-based theme-based courses;blended teaching, with student-initiated learning and direct participation in corporate practice projects as the core;and credit certification, which still focuses on credit assessment for enrolled students while providing industry certification examination courses. This paper concludes that the online course aspect of international fashion institutions can increase the proportion of live streaming, produce clearer and smoother streaming videos, require multiple means of management in virtual community management, and also consider helping students make the optimal choice of courses based on data recommendations. © 2022 ACM.
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Objective Based on text mining technology and biomedical database, data mining and analysis of coronavirus disease 2019 (COVID-19) were carried out, and COVID-19 and its main symptoms related to fever, cough and respiratory disorders were explored. Methods The common targets of COVID-19 and its main symptoms cough, fever and respiratory disorder were obtained by GenCLiP 3 website, Gene ontology in metascape database (GO) and pathway enrichment analysis, then STRING database and Cytoscape software were used to construct the protein interaction network of common targets, the core genes were screened and obtained. DGIdb database and Symmap database were used to predict the therapeutic drugs of traditional Chinese and Western medicine for the core genes. Results A total of 28 gene targets of COVID-19 and its main symptoms were obtained, including 16 core genes such as IL2, IL1B and CCL2. Through the screening of DGIdb database, 28 chemicals interacting with 16 key targets were obtained, including thalidomide, leflunomide and cyclosporine et al. And 70 kinds of Chinese meteria medica including Polygonum cuspidatum, Astragalus membranaceus and aloe. Conclusion The pathological mechanism of COVID-19 and its main symptoms may be related to 28 common genes such as CD4, KNG1 and VEGFA, which may participate in the pathological process of COVID-19 by mediating TNF, IL-17 and other signal pathways. Potentially effective drugs may play a role in the treatment of COVID-19 through action related target pathway. © 2022 Tianjin Press of Chinese Herbal Medicines. All Rights Reserved.