Implementation and Application of Large-Scale Drug Virtual Screening

The molecular docking-based virtual screening technique evaluates the binding abilities between multiple ligand compounds and receptors to screen for the active compounds. In the context of the global spread of the COVID-19 pandemic, large-scale and rapid drug virtual screening is crucial for identifying potential drug molecules from massive datasets of ligand structures. The powerful computing power of supercomputer provides hardware guarantee for drug virtual screening, but the super large-scale drug virtual screening still faces many challenges that affects the effective execution of the calculation. Based on the analysis of the challenges, this paper proposes a centralized task distribution scheme with a central database, and designs a multi-level task distribution framework. The challenges are effectively solved through multi-level intelligent scheduling, multi-level compression processing of massive small molecule files, dynamic load balancing and high error tolerance management technology. An easy-touse"tree”multi-level task distribution system is implemented. A fast, efficient and stable drug virtual screening task distribution, calculation and result analysis function is realized, and the computing efficiency is nearly linear. Then, heterogeneous computing technology is used to complete the drug virtual screening of more than 2 billion compounds, for two different active sites for COVID-19, on the domestic super computing system, which provides a powerful computing guarantee for the super large-scale rapid virtual screening of explosive malignant infectious diseases. © 2023, Journal of Computer Engineering and Applications Beijing Co., Ltd.;Science Press. All rights reserved.

COVID-19 and bone health.

A few patients who have recovered from COVID-19 develop persistent or new symptoms that last for weeks or months; this is called "long COVID" or "post-COVID-19 syndrome." Over time, awareness of the short- and long-term consequences of COVID-19 has increased. The pulmonary consequences are now fairly well established, but little is known about the extrapulmonary system of COVID-19, particularly its effects on bones. Current evidence and reports indicate a direct relationship between SARS-CoV-2 infection and bone health, with SARS-CoV-2 having a significant negative effect on bone health. In this review, we analyzed the impact of SARS-CoV-2 infection on bone health and assessed the impact of COVID-19 on the diagnosis and treatment of osteoporosis.

The Effectiveness of Information Technology and Teaching Strategies in Distance Learning to Improve the Learning Effect of K-12 Students

Since the outbreak of COVID-19, many countries began to try to use online platforms and digital tools for distance learning. This study focuses on the effectiveness of information technology and teaching strategies in distance learning to improve the learning effect of K-12 students. By using the meta-analysis method and screening criteria of empirical research, it focuses on methodological and substantive research, and examines the relationship between information technology and learning effect, and the relationship between teaching strategies and learning effect in distance learning. The final analysis included 85 qualified studies with a total sample size of 79,928 K-12 students: 35 primary school studies (n = 35,155) and 50 secondary school studies (n = 44,773). The results show that compared with offline learning, the application of information technology in distance learning usually has a positive impact (ES=+2.26). However, the impact may vary depending on the type of information technology. From the perspective of teaching strategies, case-based teaching strategies can improve students' learning effect. Therefore, when applying information technology and teaching strategies to students' distance learning effect, we should strengthen the design of process objectives, pay attention to the role of sharing and co-construction technologies in distance learning, and adopt case-based teaching strategies to stimulate students' high-level cognitive activities and cognitive achievements, so as to promote distance learning. © 2022 Association for Computing Machinery.

The Application of "Big Data Analysis + Hierarchical Medical" Model in the Context of the COVID-19

The COVID-19 epidemic has swept the world, causing serious impact and influence on economic development and residents' life in countries all over the world. This paper takes China as an example, further analyses the characteristics of China's hierarchical medical model based on the international hierarchical medical research planning, and proposes the application of "big data analysis + hierarchical medical" model for the new coronavirus epidemic and other public health emergencies based on the advantages of big data application to solve public health crises, in order to provide a reference for the planning of hierarchical medical system during the epidemic. It is expected to provide reference for the planning of hierarchical medical and health system during the epidemic, which is an innovative attempt of the medical industry. © The Authors, published by EDP Sciences.

Research Progress of Non-viral Vector Delivery System for mRNA Vaccines

With the outbreak of COVID-19, the world urgently needs a large number of effective vaccines to deal with this disaster. mRNA vaccines are safe and have short development cycle, which can fill the gap between epidemic diseases and vaccine shortages. So mRNA has become one of the most potential vaccines at present and has attracted attention in the field of infectious diseases and tumors. Technological innovation has greatly improved the shortcomings of mRNA, such as instability and low translation efficiency. However, delivering mRNA to target cells safely and efficiently is still a major challenge that hinders the progress in mRNA research. Hopefully, delivery systems have put forward many effective solutions. This review focuses on the non-viral vector delivery system for mRNA vaccine delivery in vivo, and the application of mRNA in infectious disease and tumor vaccine, in order to provide reference for research and development of mRNA vaccines. © 2022, China Biotechnology Press. All rights reserved.

Hematologic findings and complications of SARS-COV- 2 in children and young adults

Background: Thrombotic coagulopathy is a predictor of SARS-CoV- 2 infection related mortality in adults (1-4). Incidence of venous thromboembolic events (VTE) in children seems to be lower (5), but there remains paucity of data on this in children. The current study describes the coagulation and inflammatory disturbances occurring in children <21 years with SARS-CoV- 2 infection and multisystem inflammatory syndrome in children (MIS-C) and evaluates risk factors for hematologic complications. Aim(s): 1. Report hematological and inflammatory abnormalities and hemorrhagic/thrombotic outcomes, in pediatric patients with SARS-CoV- 2 or MIS-C. 2. Identify risk factors for hematologic adverse outcomes with SARS-CoV- 2 or MIS-C. Method(s): Single-institution, retrospective study of in children <21 years with SARS-CoV2 acute infection or MIS-C between March 1, 2020, and February 28, 2021. Laboratory parameters were collected at presentation, and during hospitalization. Bleeding was graded using the modified World Health Organizations (WHO) grading system. VTEs were diagnosed radiographically, or by strong clinical suspicion. Correlation studies were done to assess hematologic and inflammatory laboratory markers. (Figure Presented) Results: In pediatric patients with SARS-COV- 2 infection and MIS-C (n = 127), we identified thrombotic and bleeding complications incidences at 6.3% and 6.3%, respectively. VTEs and bleeding events occurred mainly in females. All thrombotic events occurred in patients not previously on anticoagulation. No patients in our study received post-discharge thromboprophylaxis;one VTE occurred 3 days after discharge for COVID-19 pneumonia. Adolescent age (>13 years) and indwelling central venous-access device (CVAD) increased thrombotic risk, while MIS-C diagnosis did not. Obesity was not a risk factor for VTE but was associated with increased bleeding risk. Seven of eight bleeding events (5.5%) were WHO grade 3. Conclusion(s): SARS-CoV- 2 thrombotic complications in children are occur at lower rates than in adults. Older age, female sex, and CVADs increase thrombotic risk. With higher rates of bleeding events our study, daily risk-assessment of the need for continued thromboprophylaxis is recommended.

The Effect of Emotional Responses on Reuse Intention by Impulse Buying Types: Focused on Live Shopping in China

This study aims to present the problems and solutions of live shopping to suggest the direction of live commerce broadcasting in the future by examining the influence of the types of impulse buying on consumers’ emotional responses and the reuse intention according to changes into non-contact economy due to the COVID-19 pandemic. To achieve the purpose of this study, the theoretical foundation of related factors was established based on literature research and previous studies. Accordingly, research models and research hypotheses were presented. To verify the hypothesis, a survey was conducted through an online survey method targeting 300 consumers who have experience using live shopping in China. The statistical analysis was conducted by frequency analysis, exploratory factor analysis, correlation analysis and multiple regression analysis using SPSS26.0 program. The results of the empirical analysis and implications of this study are as follows. First, pure impulse buying, planned impulse buying, stimulus impulse buying and reminder impulse buying had a significant positive (+) effect on jealousy and vanity of emotional response. Therefore, the seller of the product is expected to increase sales by stimulating customers ’ impulse buying. In addition, the purchaser may meet emotional responses such as jealousy or vanity, but this may lead to economic losses or unnecessary product purchases. Second, jealousy and vanity of emotional response had a significant positive (+) effect on reuse intention. Therefore, the purchaser should try to find ways to reduce emotional responses such as jealousy and vanity. Third, pure impulse buying, planned impulse buying, stimulus impulse buying and reminder impulse buying had a significant positive (+) effect on reuse intention. Therefore, impulse buying can lead to product purchase even if there is no stimulus of emotional reaction such as jealousy or vanity, so product buyers should exclude the factors that can cause impulse buying as much as possible. This study also aims to present the research results and implications based on some limitations in the process of the study. First, if the study is conducted for all age groups, it is expected that the results of more objective research will be derived. Second, if comparative research is conducted on live shopping users in various countries, it is judged that strategies will be derived to help identify the tendency of live shopping users by country and to establish marketing strategies for product sellers. © 2022, Success Culture Press. All rights reserved.

Fully autonomous domino capillaric circuit for instrument-free, quantitative detection of SARS-CoV-2 in saliva

Rapid, sensitive, quantitative and patient-friendly diagnostic tools have yet to be developed for COVID-19 continued monitoring at the point-of-care. Here, we present an instrument-free capillary microfluidic chip coupled to a lateral flow module that is compatible with a smartphone application for quantitative detection of SARS-CoV-2 from saliva samples. The microfluidic chip is fully autonomous, and performs aliquoting, sample metering, and sequential delivery of reagents. The limit of detection is 0.07 ng/mL for recombinant nucleocapsid protein in saliva. This rapid antigen test provides results in less than 1 hour, without sacrificing analytical sensitivity. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

Cyberbullying Detection with Side Information: A Real-World Application of COVID-19 News Comment in Chinese Language

Cyberbullying is an aggressive and intentional behavior committed by groups or individuals, and its main manifestation is to make offensive or hurtful comments on social media. The existing researches on cyberbullying detection underuse natural language processing technology, and is only limited to extracting the features of comment content. Meanwhile, the existing datasets for cyberbullying detection are non-standard, unbalanced, and the data content of datasets is relatively outdated. In this paper, we propose a novel Hybrid deep Model based on Multi-feature Fusion (HMMF), which can model the content of news comments and the side information related to net users and comments simultaneously, to improve the performance of cyberbullying detection. In addition, we present the JRTT: a new, publicly available benchmark dataset for cyberbullying detection. All the data are collected from social media platforms which contains Chinese comments on COVID-19 news. To evaluate the effectiveness of HMMF, we conduct extensive experiments on JRTT dataset with five existing pre-trained language models. Experimental results and analyses show that HMMF achieves state-of-the-art performances on cyberbullying detection. To facilitate research in this direction, we release the dataset and the project code at https://github.com/xingjian215/HMMF. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

SOCIAL ATTITUDE PROFILES AND ATTRIBUTION TYPES CONFRONTING PANDEMIC COVID-19

This study aimed to analyze the social processes confronted during the COVID-19 pandemic, arguing that social problems should be primarily analyzed to utilize public health policies. The theoretical framework concerns social attitudes of behavior, emotion, and cognition (BEC) and social attribution types of inner and outer crossed by temporal and permanent, as proposed by Weiner (1974). A quasi-experiment research design was processed using a questionnaire which included personal identities designed by between-subject of 221 people sampled, and items of social attitudes profiles and attribution types designed by within-subject of 27 conditions. Factor analysis expounded that all the items be grouped into 8 independent components that corresponded to the items constructed to be evaluated as a successful design. Analyzing within-subject variables, BEC of social attitudes as health, medical, faith, and risk and mental symptoms except that of political were highly negative skewed in distributions. Each of BEC was individualized to compose the related social attitudes. For attribution types, the permanent ones of personal, governmental, and religious, but not medical, were attributed to the epidemic. This study suggested that social attitudes of BEC were adapted to the pandemic and that attribution should be regarded primarily to make policies efficient for public health. © 2022 Conscientia Beam. All Rights Reserved.

Relationship between Anti-Spike Protein Antibody Titers and SARS-CoV-2 In Vitro Virus Neutralization in Convalescent Plasma

Newly emerged pathogens such as SARS-CoV-2 highlight the urgent need for assays that detect levels of neutralizing antibodies that may be protective. We studied the relationship between anti-spike ectodomain (ECD) and anti-receptor binding domain (RBD) IgG titers, andSARS-CoV-2 virus neutralization (VN) titers generated by two different in vitro assays using convalescent plasma samples obtained from 68 COVID-19 patients, including 13 who donated plasma multiple times. Only 23% (16/68) of donors had been hospitalized. We also studied 16samples from subjects found to have anti-spike protein IgG during surveillance screening of asymptomatic individuals. We report a strong positive correlation between both plasma anti-RBD and anti-ECD IgG titers, and in vitro VN titer. Anti-RBD plasma IgG correlated slightly better than anti-ECD IgG titer with VN titer. The probability of a VN titer 160 was 80% or greater with anti-RBD or anti-ECD titers of 1:1350. Thirty-seven percent (25/68) of convalescent plasma donors lacked VN titers 160, the FDA-recommended level for convalescent plasma used for COVID-19 treatment. Dyspnea, hospitalization, and disease severity were significantly associated with higher VN titer. Frequent donation of convalescent plasma did not significantly decrease either VN or IgG titers. Analysis of 2,814 asymptomatic adults found 27 individuals with anti-RBD or anti-ECD IgG titers of 1:1350, and evidence of VN1:160. Taken together, we conclude that anti-RBD or anti-ECD IgG titers can serve as a surrogate for VN titers to identify suitable plasma donors. Plasma anti-RBD or anti-ECD titer of1:1350 may provide critical information about protection against COVID-19 disease.

Research on transmission model of consciousness of prevention and control among the public in major public health emergencies

COVID-19 epidemic is a major global public health emergency that rarely happened in a century. China has entered the normal stage of epidemic prevention and control after strenuous struggle. Epidemic prevention and control have been promoted synchronously with economic recovery. It is very important that how to realize the effective transmission for epidemic consciousness of prevention and control in the public at this stage of normalization of the epidemic. For this reason, a transmission dynamic model of consciousness of prevention and control in multiplex social networks formed by multiple channels is firstly established. Model analysis and simulation experiments are carried out to draw that it can make the consciousness of prevention and control transmit among public all the time as long as the proportion of owners with consciousness is above a critical value according to the threshold conditions for distinguishing whether the consciousness propagates. It is difficult to quickly raise consciousness of prevention and control for the public that communicating through a single channel. Online and offline multiple information channels are used in a balanced manner in order to maximize the efficiency of transmission. It can promote the transmission of consciousness of prevention and control as much as possible that scientifically and moderately increasing the number of daily communication. Once the number of public communication through multiple channels exceeds a certain limit, it will reduce the efficiency of transmission for consciousness of prevention and control. © 2021, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.

MODELING THE SECOND OUTBREAK OF COVID-19 WITH ISOLATION AND CONTACT TRACING

The first case of Corona Virus Disease 2019 (COVID-19) was reported in Wuhan, China in December 2019. Since then, COVID-19 has quickly spread out to all provinces in China and over 150 countries or territories in the world. With the first level response to public health emergencies (FLRPHE) launched over the country, the outbreak of COVID-19 in China is achieving under control in China. We develop a mathematical model based on the epidemiology of COVID-19, incorporating the isolation of healthy people, confirmed cases and contact tracing measures. We calculate the basic reproduction numbers 2.5 in China (excluding Hubei province) and 2.9 in Hubei province with the initial time on January 30 which shows the severe infectivity of COVID-19, and verify that the current isolation method effectively contains the transmission of COVID-19. Under the isolation of healthy people, confirmed cases and contact tracing measures, we find a noteworthy phenomenon that is the second epidemic of COVID-19 and estimate the peak time and value and the cumulative number of cases. Simulations show that the contact tracing measures can efficiently contain the transmission of the second epidemic of COVID-19. With the isolation of all susceptible people or all infectious people or both, there is no second epidemic of COVID-19. Furthermore, resumption of work and study can increase the transmission risk of the second epidemic of COVID-19.

CoEmoCause: A Chinese Fine-Grained Emotional Cause Extraction Dataset

Emotion Cause Extraction (ECE) is an emerging hot topic in the field of sentiment analysis. The purpose of the ECE task is to extract the causes of emotions in the text according to the text and given emotions. Emotional Cause Pair Extraction (ECPE) is a brand-new research problem on ECE, whose main purpose is to extract the emotion clauses and emotion cause clauses in texts at the same time. At present, the ECPE task has received extensive attentions from both academia and industry communities. The existing ECPE researches are mainly carried out on online news report corpus. However, this kind of corpus has several limitations, such as the small scale and rough tagging granularity. In this paper, we construct an emotion cause extraction dataset containing 5,195 COVID-19 pandemic-related discussion posts collected from Sina Weibo, and leverage 10 state-of-the-art models to perform ECE and ECPE tasks on this new dataset. We find that the performances of most existing models on our newly constructed dataset decrease dramatically compared with the reported results in the online news dataset. We further analyze the causes of this phenomenon. © 2021, Springer Nature Switzerland AG.

Predictors for fear of cancer recurrencein breast cancer patients referred for radiation therapyduring the COVID-19 pandemic: A multi-center cross-section survey

Background The outbreak of COVID-19 pandemic in China has greatly impacted the radiotherapy (RT) strategy forbreast cancer (BC) patients, which might lead to an increased distressing psychological symptom. Thus, we performa multi-center cross-section survey aiming to investigate the prevalence of fears of cancer recurrence (FCR) andexplore predictors for FCR in BC patients referred for RT during pandemic. Methods: 542 BC patients who referredfor RT between 24 Jan and 30 April 2020 during pandemic were consecutively enrolled from 14 hospitals aroundChina including Yangtze Delta River Region, Guangdong and Shanxi province. Patients' sociodemographic,treatment information as well as psychological characteristics were collected using an information sheet, Fear ofprogression questionnaire-short form (FoP-Q-SF), Hospital Anxiety and Depression Scale ( HADS) and EORTCQLQ-C30. The influence of pandemic on RT schedule was divided into four categories: “delay” was defined as >12weeks from surgery to RT in patients without chemotherapy or >8 weeks from last time of anti-tumor therapy(including chemotherapy and surgery) to RT in patients with chemotherapy;“Special normal” was defined thatpatients themselves believed to have delayed RT initiation but actually not;“Interruption” was defined as anyunplanned gaps in original RT regime and all other would be classified into “normal”. Another type of influence on th th Advertisement RT strategy was that patients had to shift planned RT hospital from Grade-A tertiary hospital to local hospitals.Univariable analyses of FCR were performed in a one-way analysis of variance (ANOVA) or student t-test orPearson correlation analyses and candidate variables with P<0.2 were included Hierarchical multiple regressionmodels to investigate predictors for FCR. Guangdong province was chosen as reference in models. Results 488patients with complete data were eligible for the present analysis and none of patients and their family members hadbeen diagnosed as COVID-19. The RT strategy was affected in 265 (54.3%) patients, including 143 with delayed RTinitiation, 66 with “special normal” schedule, 24 (4.9%) with RT interruptions, 19 shifting to local hospitals for RT, andthe remaining 13 being influenced on both RT schedule and planned RT hospitals. Most of patients with affected RTstrategy occurred in late January and February, when was peak of COVID-19 pandemic in China. The mean FCRscores was 24.83 (SD=8.554) and 84 patients (17.3%) were classified as dysfunctional level of FCR (sum score≥34). In univariable analyses, FCR were significantly higher in patients who received RT in Guangdong provinceand in hospitals with < 100 BC cases per year. In term of during pandemic, a significant difference in FCR wasobserved in terms of influence on RT schedule (p<0.001). and changes of hospital levels(p=0.009). There weresignificant correlations between FCR and anxiety/depressive in HADS or all five function scales (physical, role,emotional, cognitive and social) and global QoL in QLQ-C30 (p<0.001). Finally, the model explained 59.7% ofobserved variances in FCR and showed that influence of RT strategy during pandemic had significantly impacted onFCR (ΔR2=0.01, ΔF=2.966, p=0.019). Hospitals in Shanxi province (β=-0.117, p=0.001), emotional function(β=-0.19, p<0.001), social function (β=-0.111, p=0.006), anxiety (β=0.434, p<0.001) and RT interruption (β=0.071,p=0.035) were independent predictors for FCR. Conclusions RT strategy for BC patients was greatly influencedduring pandemic. RT interruption is an independent predictor for high FCR. Our findings emphasize the necessity toensure the continuum of RT in BC patients, and efforts should be taken to alleviate the FCR through psychologicalinterventions.

3D printed capillaric chip for instrumentation-free, rapid, and quantitative covid-19 serological testing using saliva

Our group developed a capillary-driven microfluidic technology called Domino Capillaric Circuits (DCC) that enables instrumentation-free, autonomous, preprogrammed sequential delivery of liquids, and that thus predisposed for rapid point-of-care diagnostics. Here, we present a capillaric chip, made by 3D printing, that automates reagent metering and sequential delivery of sample and multiple solutions to a lateral flow zone including rinsing and enzymatic amplification, and apply it to the quantification of SARS-CoV-2-specific antibodies response. Once loaded, sample addition by the user triggers all the fluidic operations, replicating the multiple incubation and washing steps common to ELISA and producing a colorimetric result visible by eye and quantifiable based on common imaging. DCCs might be further developed into fully integrated POC tests to address ongoing and emerging needs. © 2020 CBMS-0001

COVID-19 Reverse Prediction and Assessment on the Diamond Princess Cruise Ship

As of July 21, 2020, the coronavirus SARS-CoV-2 had spread to almost all countries around the world and caused more than 14.8 million confirmed cases, owing to its high transmissibility and fast rate of spread. Of the infected locations, the Diamond Princess cruise ship is special in that it is an isolated system with a population highly concentrated in a limited space, providing particularly favorable conditions for the transmission of the novel coronavirus-associated pneumonia, COVID-19. The Japanese government's emergency measures for controlling the spread of COVID-19 on the cruise ship have also been questioned. In this paper we develop a homogeneous mixed difference system to describe the mechanism of transmission of COVID-19 on the cruise ship, reverse-predict the epidemic transmission trend from January 20 to February 20, 2020, including the daily number of infected people and the peak time of infection, estimate the range of the basic reproduction number of virus transmission on the cruise ship, and assess the effects of prevention and control measures. It is concluded that the isolation of people, along with rapid and comprehensive detection of infections, play an important role in controlling the epidemic. In fact, the Japanese government's emergency measures did have a certain effect on limiting the spread of COVID-19, but the number of infected people could have been reduced by at least 60% if all personnel on the cruise ship had been tested and isolated promptly as early as February 5. © Copyright © 2020 Zhang, Sun, Li, Gao, Ren, Pei and Jin.

Severe COVID-19 in a newborn

We present a case of severe COVID-19 in a male newborn. A 22-day infant was transferred to Children's Hospital Affiliated to Zhengzhou University due to "intermittent fever for 18 days". The parents of the infant had been living in Wuhan and returned to Xinyang 9 days before delivery. Suspecting COVID-19 infection, a cesarean section was performed at 38 gestational weeks. The diagnosis of COVID-19 in the mother was confirmed at 2 days postpartum, as well as the father and the grandparents-in-law within 5 days postpartum. The baby developed fever and cough 5 days after birth, and a positive result for the new coronavirus nucleic acid test in the pharyngeal swab was shown 6 days after birth. The fever continued intermittently for 18 days, whilst nasal catheter oxygen inhalation treatment was administered. The percutaneous oxygen saturation decreased to 79% after cessation of oxygen, and the baby was transferred to the hospital for further treatment. After admission, the infant presented with cough, occasional choke, shortness of breath despite nasal catheter oxygen inhalation, increased heart rate, low urine volume, and an enlarged liver 2 cm below the right costal margin. The baby was diagnosed with severe COVID-19 accompanied by anemia, hyperkalemia, pneumonia, and atrial septal defect seen on the echocardiogram. After isolation in an incubator, oxygen inhalation, cardiotonic intervention, blood transfusion and antiviral treatment, the patient made a good recovery, with good breastfeeding, significant resorption of the lung inflammation and no fever or respiratory symptoms. The baby was discharged 14 days after hospitalization, with negative results for nucleic acid test of pharyngeal swab for 2 consecutive times. Copyright © 2020 by the Chinese Medical Association.