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In this study, we theoretically propose a surface plasmon resonance (SPR) biosensor composed of a plasmonic gold film, double negative (DNG) metamaterial, graphene-MoS2-COOH Van der Waals heterostructures and gold nanoparticles (Au NPs). We use a novel scheme of Goos-Hanchen (GH) shift to study the biosensing performances of our proposed plasmonic biosensor. The calculation results show that, both an extreme low reflectivity of 8.52x10(-10) and significantly enhanced GH sensitivity of 2.1530x10(7) mu m/RIU can be obtained, corresponding to the optimal configuration: 32 nm Au film/120 nm metamaterial/4-layer graphene/4-layer MoS2-COOH. In addition, there is a theoretically excellent linear response between the concentration of target analytes (SARS-CoV-2 and S protein) and the change in differential GH shift. Our proposed biosensor promises to be a useful tool for performing the novel coronavirus detection.
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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.
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Background During the containment of COVID-19，the traditional face-to-face interventions conducted at the rehabilitation center were plagued by many limitations，while internet-based interventions can overcome the limitations of geographic location，working hours and transportation，with less medical costs. Objective To examine the effects of internet-based interventions on knowledge，attitude/belief and practice（KAP） toward rehabilitation exercises，physical activity（PA）level，and exercise compliance inpatients after PCI. Methods The subjects were 76 patients who received their first PCI in Department of Cardiology，Tangshan Gongren Hospital from November 2021 to June 2022. They were randomly and equally divided into two groups to receive either internet-based intervention with routine nursing（experimental group） or routine nursing （control group）. Before and three months after the intervention，the Rehabilitation Exercise Knowledge-Belief-Practice Scale for Patients with Coronary Heart Disease（REKBPCHD），the International Physical Activity Questionnaire-Short Form （IPAQ-SF），and Patients' Exercise Log were used to assess the KAP level，PA level，and exercise adherence，respectively. The impact of network intervention on exercise adherence in patients after PCI by univariate Logistic regression analysis. Results After 3 months of intervention，a significant increase was found in the average total score of REKBPCHD，and the average scores of the knowledge dimension，attitude dimension and practice dimension of the scale in the experimental group（P<0.05），and the increase was more notable than that in the control group（P<0.05）. Moreover，both post-intervention low PA level and total PA level in the experimental group were higher than those in the control group（P<0.05）. Both post-intervention low PA level and total PA level were higher than the baseline levels in the experimental group（P<0.05）. The post-intervention exercise compliance of experimental group were higher than that in the control group（P=0.003）. Univariate Logistic regression analysis showed that the risk of non-adherence to exercise in the experimental group was relatively lower than that in the control group 〔OR=0.143，95%CI（0.034，0.594），P=0.007〕. Conclusion Theinternet-based intervention can effectively improve the KAP level toward rehabilitation，PA level，and exercise adherence in patients after PCI. © 2023 Chinese General Practice. All rights reserved.
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9870 thousand people develop tuberculosis (TB) in 2020. Despite being a preventable as well as curable communicable disease, tuberculosis still is the leading communicable disease killer globally. The WHO's End TB Strategy envisions a world free of TB, zero deaths, disease, and suffering due to tuberculosis by 2035. China ranks second for TB cases globally. Over the past 20 years, China has made remarkable achievements in tuberculosis control, with the prevalence and mortality rate of tuberculosis reduced by half compared with 1990. China has achieved the United Nations Millennium Development Goals on tuberculosis control 5 years ahead of schedule. However, in spite of concerted international, regional, and national efforts to address tuberculosis in China, the tuberculosis burden in China is still high. At the same time, China also faces problems such as the high burden of latent TB infection, rifampicin-resistant/ multidrug-resistant tuberculosis, and low detection rate of tuberculosis. China needs to further improve the quality of tuberculosis control work to reduce the incidence of tuberculosis and ultimately achieve the goal of ending tuberculosis. © People's Medical Publishing House, PR of China 2022.
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OBJECTIVE: To establish a rapid detection and genotyping method for SARS-CoV-2 Omicron BA.4/5 variants using CRISPPR-Cas12a gene editing technology. METHODS: We combined reverse transcription-polymerase chain reaction (RT-PCR) and CRISPR gene editing technology and designed a specific CRISPPR RNA (crRNA) with suboptimal protospacer adjacent motifs (PAM) for rapid detection and genotyping of SARS- CoV-2 Omicron BA.4/5 variants. The performance of this RT- PCR/ CRISPPR-Cas12a assay was evaluated using 43 clinical samples of patients infected by wild-type SARS-CoV-2 and the Alpha, Beta, Delta, Omicron BA. 1 and BA. 4/5 variants and 20 SARS- CoV- 2-negative clinical samples infected with 11 respiratory pathogens. With Sanger sequencing method as the gold standard, the specificity, sensitivity, concordance (Kappa) and area under the ROC curve (AUC) of RT-PCR/CRISPPR-Cas12a assay were calculated. RESULTS: This assay was capable of rapid and specific detection of SARS- CoV-2 Omicron BA.4/5 variant within 30 min with the lowest detection limit of 10 copies/µL, and no cross-reaction was observed in SARS-CoV-2-negative clinical samples infected with 11 common respiratory pathogens. The two Omicron BA.4/5 specific crRNAs (crRNA-1 and crRNA-2) allowed the assay to accurately distinguish Omicron BA.4/5 from BA.1 sublineage and other major SARS-CoV-2 variants of concern. For detection of SARS-CoV-2 Omicron BA.4/5 variants, the sensitivity of the established assay using crRNA-1 and crRNA-2 was 97.83% and 100% with specificity of 100% and AUC of 0.998 and 1.000, respectively, and their concordance rate with Sanger sequencing method was 92.83% and 96.41%, respectively. CONCLUSION: By combining RT-PCR and CRISPPR-Cas12a gene editing technology, we successfully developed a new method for rapid detection and identification of SARS-CoV-2 Omicron BA.4/5 variants with a high sensitivity, specificity and reproducibility, which allows rapid detection and genotyping of SARS- CoV-2 variants and monitoring of the emerging variants and their dissemination.
Subject(s)
COVID-19 , Humans , CRISPR-Cas Systems , Genotype , Reproducibility of Results , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2/genetics , RNA , COVID-19 TestingABSTRACT
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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Research has shown that alopecia including androgen alopecia (AGA), alopecia areata (AA), and telogen effluvium (TE) presents in the majority of patients hospitalized with COVID-19. This study aims to explore the association between age, gender alopecia type, and alopecia level in patients hospitalized with COVID-19, and find which factor has a significant effect on alopecia during COVID-19. In this study, we collected the gender, age, type of alopecia, and alopecia level of patients from four existing studies. A linear regression model and Chi-square test were applied to explore the effect of age and gender on alopecia levels in patients hospitalized with COVID-19. There were 281 patients counted in our study. We examined the data and found a significant correlation between age and androgen alopecia levels in male patients, and we found an association between gender and androgen alopecia prevalence. Our findings might help prevalent other patients with alopecia. © 2023 SPIE.
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This study focused on the impacts of COVID-19 on SDG4 to resolve inequality through education and explored UNESCO's educational practices. We used text mining to analyze strategic and crisis-related reports published by UNESCO from 2003 to 2021 and LDA topic modeling analysis was used to determine their latent contexts. Two topics related to education strategies were 'sustainable development' and 'system and organization'. According to the themes, non-formal, formal and informal learning and skills and TVET topics were derived for lifelong learning, school and teacher, emergency and peace, policy and framework in the theme of crisis and conflict. Finally, latent topics during each MDGs, SDGs and COVID-19 period showed insignificant changes. However, compared to before the 2014 MDGs, strategic discourses tended to be discussed in detail. Moreover, we noted the change in global discourse from globalization to digital innovation. After the pandemic, the international community has emphasized the role of teachers and improved internet access for interaction. Such recommendations were intended to bridge the gap between countries including developing countries. As an alternative, UNESCO has suggested various partnership practices but there are nevertheless limitations that cannot be solved through a partnership or educational support. Therefore, reaching SDG4 requires global efforts to change the world by coordinating specific target countries and various social factors surrounding the countries' interior and exterior. © 2023 by the authors.
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Objective: To investigate how well do the middle school students in Wuhan know and perform COVID-19 prevention behaviors during the epidemic, and to identify the influencing factors that impact the wellness of students' performance on mask-wearing, hand washing, and other health-related behaviors. Method: We surveyed 21 middle schools in Wuhan using a self-developed questionnaire, evaluated the students' prevention behaviors, and used logistic regression to identify the influencing factors. Results: We investigated 6 858 students with an average age of (14. 5±1. 5) years, including 3 584 male students (accounting for 52. 3%). Grade, parents' education, and submission time are significantly related to the wellness of the three types of health behaviors (P<0. 05). Junior high school students showed a better performance in handwashing and other health-related behaviors than senior high school students (P<0. 05). Parents' education showed a significant impact on students' prevention behaviors in all aspects (P<0. 05). Conclusion: Enhancement is needed for the education of prevention behaviors among middle school students. Schools should pay more attention to students whose parents are of the lower level of education. © 2023 Editorial Board of Medical Journal of Wuhan University. All rights reserved.
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In 2020, the outbreak of pneumonia caused by novel coronavirus spread rapidly all over the world. In the absence of a specific drug, novel coronavirus is still pandemic all over the world. In this paper, we proposed an improved molecular activity prediction model by adding feature selection method on the basis of comparing different methods to extract molecular features and machine learning models. We first used the anti-SARS-CoV-2 compounds reported in recent literatures to construct the data set, and then constructed three machine learning models. In addition, we tried to use three methods to extract molecular features in each model. In order to further improve the performance of the model, we add three feature selection methods. Through the comparison of different models, finally, we used FCFP to extract molecular features and added lasso feature selection method to establish the SVM model. Its test set accuracy is 90.0%, and the AUC value is 0.961, which could well predict the anti-SARS-CoV-2 activity of the compound. Our model can be used to speed up the research and discovery of anti-SARS-CoV-2 drugs. © 2022 IEEE.
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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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International freight transportation experienced significant disruptions during the COVID-19 pandemic. The impact of the pandemic and related government restriction measures on international freight transportation is worth analysing for the development of transportation policies and practices in the post-pandemic period, but has received limited attention. To fill the gap, this study applies structural equation models to analyze the impact of the COVID-19 pandemic on the international transportation market and the relationships among the pandemic, government restriction measures, and international transportation market. The impact is also differentiated for different modes of transportation. Results confirm that both demand and supply of interna-tional transportation services have been negatively affected by the first wave of the pandemic, with sea trans-portation being more affected by the reduction of demand and air transportation more by the supply volatility. The government restriction measures are found to play a mediation role, in the way that the impact of the pandemic on the supply of transportation service is suppressed through the government restriction measures. Our findings provide important guidance for transportation industry players and governments in their decision-making process facing with global market shocks such as a pandemic.
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Due to the impact of the COVID-19 pandemic, many students are unable to attend face-to-face courses, Therefore, in this case, distance education should be promoted to replace face-to-face education. However, because of the imbalance of education in different regions, such as the imbalance of education resources between rural and urban areas, the quality of distance education may not be guaranteed. Therefore, in China and some regions, there have been efforts made to carry out blended synchronous classroom attempts. In hybrid synchronous classroom situations, teachers' workloads have increased, and it is difficult to fully understand students' learning efficiency and class participation. We use deep learning to identify the behaviors of teachers and students in a blended synchronous classroom-based situation, aiming to automate the analysis of classroom videos, which can help teachers in classroom reflection and summary in a blended synchronous classroom or face-to-face classroom. In the behavior recognition of students and teachers, we combine the head, hand, and body posture information of teachers and students and add the feature pyramid (FPN) and convolutional block attention module (CBAM) for comparative experiments. Finally, S–T (student–teacher) analysis and engagement analysis were carried out on the identification results. © 2023 by the authors.
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Increasing local fiscal pressure and insufficient enterprise environmental protection investment are considerable problems in China. Based on the data of A-share-listed companies in heavily polluting industries in China from 2015 to 2021, this paper uses COVID-19 as an exogenous shock of local fiscal pressure and investigates the impact of local fiscal pressure on enterprise environmental protection investment by the continuous DID method. The study found that local fiscal pressure significantly reduces enterprise environmental protection investment and has a greater impact on non-state-owned enterprises, large enterprises, enterprises located in the "two-control-zone” cities and enterprises located in cities with low fiscal self-sufficiency rates. The mechanism of analysis shows that local governments ease fiscal pressure by "increasing revenue” and "cutting expenditure”. The former increases the non-tax burden of enterprises, while the latter reduces enterprise environmental protection subsidies, which leads to a decrease in environmental protection investment. The findings of this paper indicate that it is necessary to focus on solving the local fiscal pressure dilemma to increase green investment and achieve green development. © 2023 by the authors.
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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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The use of delivery platforms has become widespread due to the impact of the Covid-19 and the O2O industry. However, the ELEME delivery platform, a subsidiary of Alibaba Group, which represents China, has recently been losing market share. This means that companies need to constantly look at strategies to attract new customers and maintain existing ones. In general, it costs at least five times more to attract new customers than it does to manage existing customers. This paper attempts to predict customer churn using the ELEME customer dataset to develop strategies to identify and prevent churn in advance. The results of the analysis using machine learning approach found that the most influential feature that can predict churn is the number of clicks made by the user. This paper presents the process and explanation of applying various algorithms for predicting customer churn on a distribution platform. It also proposes strategies for dealing with customer churn. © 2023 IEEE.
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In this paper, we propose a new novel coronavirus pneumonia image classification model based on the combination of Transformer and convolutional network(VQ-ViCNet), and present a vector quantization feature enhancement module for the inconspicuous characteristics of lung medical image data. This model extracts the local latent layer features of the image through the convolutional network, and learns the deep global features of the image data through the Transformer's multi-head self attention algorithm. After the calculation of convolution and attention, the features learned by the Transformer Encoder are enhanced by the vector quantization feature enhancement module and able to better complete the final downstream tasks. This model performs better than convolutional architectures, pure attention architectures and generative models on all 6 public datasets. © 2022 IEEE.
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This study analyses the legal consciousness of Chinese citizens during the COVID-19 pandemic when the authoritarian state invoked heavy penalties to deter noncompliance with its excessive COVID-19 restrictions. China used the approach of "killing the chicken to scare the monkey,” publicly punishing those who violated restrictions in order to deter noncompliance. This article explains why ordinary citizens supported this selective application of the law, as well as how the possibility of being the "chicken” contributed to their compliance (or noncompliance) with excessive COVID-19 restrictions. It suggests that the uncertainty and unpredictability of law in the authoritarian state bred fear, which then led to compliance, regardless of the lack of procedural fairness. People's dissatisfaction with the rules, however, led them to tolerate and even support the noncompliance of people they trusted. © 2023 University of Denver and Wiley Periodicals LLC.