RESUMEN
The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has claimed millions of lives and caused innumerable economic losses worldwide. Unfortunately, state-of-the-art treatments still lag behind the continual emergence of new variants. Key to resolving this issue is developing antivirals to deactivate coronaviruses regardless of their structural evolution. Here, we report an innovative antiviral strategy involving extracellular disintegration of viral proteins with hyperanion-grafted enediyne (EDY) molecules. The core EDY generates reactive radical species and causes significant damage to the spike protein of coronavirus, while the hyperanion groups ensure negligible cytotoxicity of the molecules. The EDYs exhibit antiviral activity down to nanomolar concentrations, and the selectivity index of up to 20,000 against four kinds of human coronavirus, including the SARS-CoV-2 Omicron variant, suggesting the high potential of this new strategy in combating the COVID-19 pandemic and a future "disease X."
RESUMEN
During combatting the COVID-19 pandemic, the most widespread change in Spanish as a foreign language instruction is imperative online teaching. It demands that language teachers move all teaching activities to virtual platforms, facilitating the construction of their digital identities. However, there is scarce attention on Spanish teachers' professional development, given the necessity of understanding the evolvement of their identities across virtual learning platforms. Through the lens of a case study, this research explores the digital identities of Spanish as a foreign language teachers during the school lockdown in 2022. The data includes semi-structured interviews, virtual classroom discourse, lesson plans, and reflective writing. The results show that Spanish teachers formed multiple digital identities, including curriculum innovators, vulnerable actors, involuntary team workers, overseas returnees, and academic researchers. Among them, the first three are core identities, while overseas returnees and academic researchers are peripheral identities. Regardless, they were formed and negotiated under the influence of teachers' past experiences, the exercise of agency, emotional vulnerability, and social context. In addition, a contradictory belief in teaching was also identified during the formation of Chinese Spanish teachers' digital identities.
RESUMEN
Sanrentang,originally contained in the Regulations on Febrile Diseases written by WU Ju-tong in the Qing dynasty,was composed of eight traditional Chinese herbs to treat damp-warm diseases. It is a treatment method of gradually clearing away damp heat of tri-jiao,with characteristics of separating dispersion and mobilizing discharge. "Separating dispersion" means dispersion in separated ways,with different ways to eliminate dampness to export the dampness,heat,evil and turbid out of the body. "Mobilizing discharge" means discharge to stretch and unblock the Qi,to get rid of dampness and evil. It can be seen,Sanrentang,as a desiccating formula,taking "separating dispersion and mobilizing discharge" as the cubic basis,has a significant effect on both internal and external dampness associated with pathogenic heat syndrome,and its clinical application is quite extensive. After consulting the data of the past 10 years,the authors gave a brief overview on the syndrome theory,clinical application and pharmacological effects of Sanrentang, and elaborated the therapeutic effect and pharmacological effect of Sanrentang in the clinical application of upper,middle and lower Tri-jiao respectively,providing theoretical reference for effective development and utilization of Sanrentang. Coronavirus disease-2019(COVID-19)swept the world in early 2020 and it is a great challenge for the medical community to seek for effective prevention and treatment methods. For COVID-19,although the cause of the disease belongs to the Qi of "pestilence",many doctors have different opinions on the pathogenic characteristics. However,they all agree with the clinical characteristics of "dampness". COVID-19,which has the attribute of "dampness evil",is so sticky that it can't be cured at once. In addition to the main symptoms such as fever and cough,it is also characterized by the middle-jiao dampness symptoms such as poor appetite,fullness of abdomen,loose stool and diarrhea. It is worthy to further explore the application prospect of Sanrentang in COVID-19 prevention and treatment.Copyright © 2021, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
RESUMEN
Imagine entering an operating theatre or developing clinical skills in empathy and communication through Virtual Reality. To enhance the experience of learning novel methods using VR have been researched and simulated for clinicians. This is because some aspects of clinical training, like conducting procedures and effective team communication focus on 'learning by doing' which is difficult to recreate remotely. Here we present a proof-of-concept prototype of a 360degree-video editor that augments 360degree videos with media to create a mixed reality learning experience. Method An editor was built inside Unity to augment 360degree- videos of real-world scenarios in healthcare with interactive data. Unity is a cross-platform games engine used to create two-dimension three-dimension virtual reality and augmented reality games as well as video players to play panoramic 360degree-videos. The video player is attached to a Render Texture and a Skybox material that provides the spherical surface for the 360degree-video achieving an immersive experience. Results The editor comprises two software packages one for the trainer another for the learner. As a unique feature we introduce clickable Hotspots. This enables users to annotate the 360degree film by tagging specific artefacts in the environment and create a place-based interaction. These Hotspots are anchored to a position and can display text and images and form part of a novel branched timeline of nested data. The intention being the trainer would create the film and annotate the environment with interactive media. This would then be available to the learner who would use the player to view a bespoke teaching package. Conclusion Situated Cognition 360 Editor 2021 envisages trainers creating interactive 360degree-video learning experiences using real life scenarios in healthcare. Future steps involve user experience evaluations co-design and development of new learner interactions that deliver low cost remote and easily deployed healthcare education through immersive learning environments.
RESUMEN
Sanrentang,originally contained in the Regulations on Febrile Diseases written by WU Ju-tong in the Qing dynasty,was composed of eight traditional Chinese herbs to treat damp-warm diseases. It is a treatment method of gradually clearing away damp heat of tri-jiao,with characteristics of separating dispersion and mobilizing discharge. "Separating dispersion" means dispersion in separated ways,with different ways to eliminate dampness to export the dampness,heat,evil and turbid out of the body. "Mobilizing discharge" means discharge to stretch and unblock the Qi,to get rid of dampness and evil. It can be seen,Sanrentang,as a desiccating formula,taking "separating dispersion and mobilizing discharge" as the cubic basis,has a significant effect on both internal and external dampness associated with pathogenic heat syndrome,and its clinical application is quite extensive. After consulting the data of the past 10 years,the authors gave a brief overview on the syndrome theory,clinical application and pharmacological effects of Sanrentang, and elaborated the therapeutic effect and pharmacological effect of Sanrentang in the clinical application of upper,middle and lower Tri-jiao respectively,providing theoretical reference for effective development and utilization of Sanrentang. Coronavirus disease-2019(COVID-19)swept the world in early 2020 and it is a great challenge for the medical community to seek for effective prevention and treatment methods. For COVID-19,although the cause of the disease belongs to the Qi of "pestilence",many doctors have different opinions on the pathogenic characteristics. However,they all agree with the clinical characteristics of "dampness". COVID-19,which has the attribute of "dampness evil",is so sticky that it can't be cured at once. In addition to the main symptoms such as fever and cough,it is also characterized by the middle-jiao dampness symptoms such as poor appetite,fullness of abdomen,loose stool and diarrhea. It is worthy to further explore the application prospect of Sanrentang in COVID-19 prevention and treatment.Copyright © 2021, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
RESUMEN
The emergence of COVID-19 has reduced the opportunities for offline meetings, making people's work and study more transfer to the internet platform. However, the viewing angle and distance of the camera cannot be considered both. Therefore, machine vision is used to identify and track the presenter, and the camera pan-tilt control function of automatically tracking the presenter is realized. In many tests, the target tracking function works normally and works well. The experimental design involves relatively comprehensive disciplines, with good functional scalability and high practicability. It is an innovative experiment integrating robotics teaching, machine learning practice and embedded systems. © 2022 IEEE.
RESUMEN
Aim To explore the feasibility of the micro- dynamic chromogenic method for quantitative detection of bacterial endotoxin in recombinant novel coronavirus vaccine ( CHO cell).Methods The micro-dynamic color method of Limulus reagent was used to establish a bacterial endotoxin standard curve.The dilution factor was determined through interference pre -experiment, the recoverv rate of the endotoxin added to the test so- J lution was determined, and the interference test to complete the quantitative detection test of the bacterial endotoxin content in the test product was performed, and the results were compared with those of the gel-clot method.Results Hie linear range of the concentration of the standard curve was 0.02 to 2.0 EU * mL 1 , and the regression equation of the standard curve was lgT =-0.302 7 lgC +2.858 7( r = 0.998 9).When recombinant novel coronavirus vaccine ( CHO cell) was cliluted 40 times or below, the micro -dynamic chromogenic reagent did not interfere with the bacterial endotoxin agglutination reaction, and the recovery rate was 50% to 200%.The test results were consistent with the gel- clot method.Conclusions The micro-dynamic chromogenic method can be used for the quantitative detection of bacterial endotoxins in recombinant novel coronavirus vaccine ( CHO cell) with accurate results, high sensitivity, and process monitoring. Copyright © 2022 Publication Centre of Anhui Medical University. All rights reserved.
RESUMEN
: Use of facial mask coverings has been a strong Centers for Disease Control and Prevention recommendation as an essential mitigation measure in the spread of the SARS-CoV-2 novel coronavirus (COVID)-19 virus. Face mask utilization has been shown to induce changes in the skin microclimate, especially around the perioral and perinasal regions. This results in increased mask adjustments and development of friction between masks and the underlying skin. The authors report novel findings of 2 individuals with skin cancer who underwent facial reconstruction during the COVID-19 pandemic. They encountered untoward sequelae of facial flap pressure necrosis due to the use of face mask coverings. These individuals were ultimately successfully treated with local wound care. One individual experienced auricular implant extrusion and flap loss. It is critical that reconstructive surgeons be aware of potential complications and the need for potential revision surgeries due to the use of face masks, and educate their patients to properly position the protective face masks based on the type of reconstruction performed. Plastic surgeons might also reconsider reconstructive management options in light of these additional obstacles.
RESUMEN
Practical and efficient face alignment has been highly required and widely focused in recent years, especially under the trend of edge computation and real-Time operation. And it is a critical need to deal with masked faces in the context of COVID-19 epidemic. In this paper, we propose a novel cascaded facial landmark detector towards efficient masked face alignment, which we call QCN (Quantized Cascaded Network). QCN consists of three stages: Alignment, estimation and refinement. The alignment stage help to pre-Align the faces to alleviate extreme poses. And the next two stages localize facial landmarks in a coarse-To-fine manner. Thanks to the Network Architecture Search and Quantization techniques, the networks of QCN are designed as efficient as possible. Specifically, QCN occupies 1.75 Mb storage and runs in 84.18 MFLOPs only. Despite costs little computations, the proposed method yields 62.62% AUC (@0.08) on test set of JD-landmark-mask, which achieves 2nd place in the Grand Challenge of 106-point Facial Landmark Localization in ICME2021. © 2021 IEEE.
RESUMEN
INTRODUCTION: Despite reports suggesting an association between COVID-19 mRNA vaccination and pericarditis and myocarditis, detailed nationwide population-based data are sparsely available. We describe the incidence of pericarditis and myocarditis by age categories and sex after COVID-19 mRNA vaccination from a nationwide mass vaccination programme in Singapore. METHODS: The incidence of adjudicated cases of pericarditis and myocarditis following COVID-19 mRNA vaccination that were reported to the vaccine safety committee between January to July 2021 was compared with the background incidence of myocarditis in Singapore. RESULTS: As of end July 2021, a total of 34 cases were reported (9 pericarditis only, 14 myocarditis only, and 11 concomitant pericarditis and myocarditis) with 7,183,889 doses of COVID-19 mRNA vaccine administered. Of the 9 cases of pericarditis only, all were male except one. The highest incidence of pericarditis was in males aged 12-19 years with an incidence of 1.11 cases per 100,000 doses. Of the 25 cases of myocarditis, 80% (20 cases) were male and the median age was 23 years (range 12-55 years) with 16 cases after the second dose. A higher-than-expected number of cases were seen in males aged 12-19 and 20-29 years, with incidence rates of 3.72 and 0.98 case per 100,000 doses, respectively. CONCLUSION: Data from the national registry in Singapore indicate an increased incidence of pericarditis and myocarditis in younger men after COVID-19 mRNA vaccination.
RESUMEN
Public health emergencies can seriously affect public health and people's lives, and risk assessment and prediction provide a scientific basis for effective prevention and control of public health emergencies. This work proposes a new method for risk dynamic assessment and prediction of public health emergencies based on a revised SEIR model. This work combines transmission rules of public health emergencies with demographic, medical, and economic conditions and establishes rational and comprehensive indices of risk assessment by coupling hazard evaluation and vulnerability estimation. An integrated model of entropy-AHP is employed to implement risk dynamic assessments of public health emergencies. Moreover, this work establishes a modified SEIR model and combines infectious disease transmission dynamics and risk assessment to predict evolutional trends and dynamic risks. The COVID-19 epidemic at the end of December 2019 was an important public health emergency characterized by rapid spread, widespread infection, and great difficulty in prevention and control. The COVID-19 epidemic in 10 European countries is employed as a case study for risk assessment and dynamic prediction. Based on the epidemic data from the beginning to April 16, 2020, the epidemic evolutionary trends and dynamic risks are predicted in these countries from April 17, 2020 to May 10, 2020. According to the prediction results, the epidemic situation in 10 European countries will be severe by May 10, 2020. The goodness of fit R2 is larger than 0.92, and the prediction results are basically consistent with the real epidemic situation. Work resumption will be unfavorable for epidemic prevention and control in this case. The method proposed in this work may offer continuous epidemic risk assessments and predictions for countries and regions with serious outbreaks, support effective decisions for disease prevention and control, and also provide emergency risk evaluations and predictions in new epidemic outbreak periods and for other public security emergencies in the future. 2021, Science Press. All right reserved.
RESUMEN
COVID-19 has brought a significant impact to the global health system, and also opportunities and challenges to epidemiological researches. Theoretical epidemiological models can simulate the process of epidemic in scenarios under different conditions. Therefore, modeling researches can analyze the epidemical trend of COVID-19, predict epidemical risks, and evaluate effects of different control measures and vaccine policies. Theoretical epidemiological modeling researches provide scientific advice for the prevention and control of infectious diseases, and play a crucial role in containing COVID-19 over the past year. In this study, we review the theoretical epidemiological modeling researches on COVID-19 and summarize the role of theoretical epidemiological models in the prevention and control of COVID-19, in order to provide reference for the combination of mathematical modeling and epidemic control.
Asunto(s)
COVID-19 , Enfermedades Transmisibles , Enfermedades Transmisibles/epidemiología , Humanos , Modelos Teóricos , SARS-CoV-2RESUMEN
A convolutional neural network (CNN) based classifier, to predict the retweet level of COVID-19 tweets, is proposed in this paper. The proposed CNN is able to predict whether a given COVID-19 tweet would be more retweeted, or less retweeted. The network is trained and validated with 100,000 and 5,000 English tweet samples, respectively, which were all posted within the last week of March 2020, and 81% accuracy has been achieved. The network is also evaluated by English tweet samples posted at the end of April. The result shows that the accuracy is about 80%. Therefore, the proposed approach is robust and capable to process tweets of chosen contents/topics. ©2020 IEEE
RESUMEN
China has always had frequent disasters, and unexpected emergency public events often bring great impact to the national economy, so it is very important for the emergency financial management mechanism to effectively respond to. Combining with the emergency financial control measures for the new crown pneumonia epidemic, this paper analyses the imperfections of the current emergency financial control system in China from four aspects: contingency, delineation of fiscal responsibilities among central and local financial departments in the field of emergency management, institutionalization of emergency financial system, supervision and management, and puts forward corresponding suggestions and countermeasures. © The Authors, published by EDP Sciences, 2021.
RESUMEN
Due to COVID-19, masks are in short supply. Accordingly, mask topic stocks have surged as well. However, faced with various mask topic stocks, plenty of individual investors can only blindly follow the trend, but lack of objective judgment. In light of this, an ontology-based stocks selection framework was proposed. Different from most prior methods, the proposed framework starts from fundamental analysis and combines qualitative knowledge and quantitative data. Concretely, qualitative knowledge refers to news, information of executives and industry chain partners, while qualitative data are the financial ratios from the financial statements of companies. Notably, supply chain information was also introduced to address the delay of statements disclosure. Moreover, with the risk preference coefficient, the proposed framework can adapt to investors with different risk preference. Lastly, the results of case study are basically consistent with the research results from four investment institutions, which proves the practicality and effectiveness of the proposed framework. © 2020 Published under licence by IOP Publishing Ltd.
RESUMEN
COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.