The Construction and Application of Work and Production Resuming Behavior System Dynamics Evolutionary Game Regulation and Control Model

The resumption of production after the "suspension” caused by the COVID-19 has emerged as an urgent problem for many enterprises and the government. The resumption of production is actually a dynamic evolution problem from 0 to 1 (100%). This paper constructs a general game model and a dynamic replication system for the resumption of production and government support, and gives theorems for the construction of the model. It analyzes the evolution mechanism and scenario conditions for the convergence of enterprise strategies to the "resumption of production” strategy, takes the resumption of production of hog farmers as an example to carry out a study on the regulation of countermeasures to resume hog production, and explores systemic countermeasures and suggestions for the rapid convergence of farmers' strategies to the "resumption of work and production” strategy. The study found that the production resuming behavior system dynamics evolution game regulation model provides a systematic model and method for the study of resumption countermeasures, a general regulation model for the resumption ratio from 0 to 1 (100%), and a systematic idea, method and model for exploring the "precise strategy” system to promote the rapid resumption of production. © 2023, Science Press (China). All rights reserved.

COVID19 and China's International Higher Education Policies

In 2010, China announced its aspiration to build the Study in China initiative into a global education brand. A decade of active and strategic policymaking ensued and spurred the growth of international higher education in the rising Asian power. Its overarching objective of becoming the largest study-abroad destination in Asia by 2020 was fulfllled ahead of schedule in 2017. However, as the COVID19 pandemic disrupted international mobilities and stunted international education in many countries, the Study in China initiative has also encountered unprecedented challenges. This study analyses the Chinese policies on international higher education between 2020 and mid-2022, and international students' online queries and responses to these policies. This paper concludes with implications of international students' experiences since-COVID for China's international education sector. © QI JING AND MA CHENG, 2023.

Treatment Effects of Integrated TCM and Western Medicine Treatment Scheme on COVID-19: A Single-armed Clinical Trial

Backgroud: The outbreak of COVID-19 has brought unprecedented perils to human health and raised public health concerns in more than two hundred countries. Safe and effective treatment scheme is needed urgently. Objective(s): To evaluate the effects of integratedTCM and western medicine treatment scheme on COVID-19. Method(s): A single-armed clinical trial was carried out in Hangzhou Xixi Hospital, an affiliated hospital with Zhejiang Chinese Medical University. 102 confirmed cases were screened out from 725 suspected cases and 93 of them were treated with integrated TCM and western medicine treatment scheme. Result(s): 83 cases were cured, 5 cases deteriorated, and 5 cases withdrew from the study. No deaths were reported. The mean relief time of fever, cough, diarrhea, and fatigue were (4.78 +/- 4.61) days, (7.22 +/- 4.99) days, (5.28 +/- 3.39) days, and (5.28 +/- 3.39) days, respectively. It took (14.84 +/- 5.50) days for SARS-CoV-2 by nucleic acid amplification-based testing to turn negative. Multivariable cox regression analysis revealed that age, BMI, PISCT, BPC, AST, CK, BS, and UPRO were independent risk factors for COVID-19 treatment. Conclusion(s): Our study suggested that integrated TCM and western medicine treatment scheme was effective for COVID-19.Copyright © 2021

Economic policy uncertainty and environmental governance company volatility: Evidence from China

This study primarily investigates whether China's economic policy uncertainty (EPU) can predict the environmental governance index volatility, which selects companies regarding environmental protection such as sewage treatment, solid waste treatment, air treatment, and energy saving. Empirical results reveal that China's EPU index can predict the environmental governance index volatility. Furthermore, even during periods of fluctuating volatility and the COVID-19 pandemic, China's EPU index can reliably forecast the environmental governance index volatility. This paper tries to provide new evidence regarding the connection between EPU and environmental governance companies' stock volatility. © 2023

Pandemic Bonds Issued by the Chinese Government Supported Post-Disaster Recovery from COVID-19 Pandemic

During the SARS-CoV-2 (COIVD-19) outbreak, China repeatedly stressed that the response to the pandemic required action at all levels of government, including the issuance of Pandemic Bonds to help the country return to work and production. However, studies on the effectiveness of Pandemic Bonds during that period are rare. Starting with China's national financial bond market data after COVID-19 in 2020, this paper focuses on the correlation between the Credit Spreads of the relevant bonds and the corresponding bond market rate of return, based on the Copula model. The empirical analysis is also carried out for multiple dimensional groupings such as enterprises, industries, provinces, and bond maturities. The results show that there is a significant positive correlation between the Credit Spreads of Pandemic Bonds and market returns. In addition, the market correlation is higher for Pandemic Bonds issued in Hubei Province, which is at the center of the 2020 pandemic, and the shorter the maturity of the Pandemic Bond issued, the stronger the relationship with market returns. Finally, this paper provides recommendations for financial regulators and policy makers to consider in their decisions on how to build a more resilient financial system under heavy economic, fiscal, and social pressures. © 2020 Tsinghua University Press.

Forecasting the dynamic of the COVID-19 pandemic by an adaptive Cauchy Quantum-Behaved Particle Swarm Optimization Algorithm

Accurate identification of parameters is critical to the epidemiological utility of the results obtained from the COVID-19 transmission model. In order to optimize the model parameters, we propose an adaptive Cauchy quantum particle swarm optimization (QPSO) algorithm. We introduce a piecewise Cauchy mutation operator and the mutation probability is adjusted adaptively according to the fitness to enhance the global search ability of QPSO. The experimental results show that the improved QPSO algorithm has higher accuracy than original QPSO and PSO algorithms. © 2022 SPIE.

Decolonising Australian doctoral education beyond/within the pandemic: Foregrounding Indigenous knowledges

Global doctoral education has been particularly affected by the COVID-19 pandemic and the Black Lives Matter movement, which have drawn attention to the vast inequities faced by black, cultural minority and Indigenous peoples. These developments have focused urgent attention on the need to de-homogenise Australian doctoral education. Australian universities have been very slow to create recognition and accreditation programs for First Nations and transcultural (migrant, refugee and international candidates) knowledge systems, histories, geographies, languages and cultural practices in doctoral education. A significant body of research investigates Australian universities' education of Indigenous and transcultural doctoral candidates. However, few scholars have sought to trace the links between individual personal doctoral candidate life histories and large-scale Australian government policy trends. This paper draws upon the Indigenous knowledge global decolonization praxis framework and de Sousa Santos' theories about cognitive justice and epistemologies of the South to fill this gap. Future aspects of this project will involve conducting an international policy analysis, life histories and time mapping to implement key Indigenous knowledge approaches in Australian doctoral education. This paper will critically explore the application of three core First Nations knowledge approaches - the agency of Country, the power of Story and intergenerational, iterative and intercultural knowledges - to Australian doctoral education. © 2022 by the authors.

Application of Nanotechnology for Virus Inactivation in Water: Implications for Transmission over line Blocking of the Novel Coronavirus SARS over line CoV over line 2

The novel coronavirus pneumonia epidemic (COVID over line 19) brings a serious threat to the development of human society and the health of human beings. Due to the stability of the severe acute respiratory syndrome coronavirus 2 ( SARS over line CoV over line 2) in urban sewage, which has become one of the virus pollution sources, it has been a focus how to eliminate the existing virus in water. SARS over line CoV over line 2 structurally consists of RNA chains and protein capsids, and thus can be inactivated via reactive oxygen species ( ROS) attack. Moreover, block of biochemical metabolism and destruction of virus structure are also effective inactivation methods for SARS over line CoV over line 2 inactivation. Nanomaterials exhibit surface and interface effects, specific microstructure and excellent physicochemical properties, implying their high application potential in SARS over line CoV over line 2 inactivation. In this study, we overall review application of nanotechnologies for SARS over line CoV over line 2 inactivation, including photocatalysis, heterogeneous catalytic oxidation, ion toxicity induced inactivation, and structural effects inactivation method. Furthermore, based on the structural composition, as well as survival and transmission characteristics of SARS over line CoV over line 2 in water environment, the application potential of various nanotechnologies for SARS over line CoV over line 2 inactivation are deeply discussed. This study can provide a theoretical basis and practical reference for the application of nanotechnology for the SARS over line CoV over line 2 inactivation and the secondary transmission interruption in water.

Privacy-Preserving enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application

In order to control the first wave of COVID-19 pandemic in 2020, many models have shown effectiveness in predicting the spread of new coronary pneumonia and the different interventions. However, few models can collect large amounts of high-quality real-time data faster under the premise of protecting privacy, considering the impact of SARS-CoV-2(Severe Acute Respiratory Syndrome Coronavirus 2) variant and the mass vaccination program as a new intervention. Therefore, we developed a mobile intelligent application that can collect a large amount of real-time data while protecting privacy, and conducted a feasibility study by defining a new COVID-19 mathematical model SEMCVRD. By simulating different intervention measures, the prediction model of the mobile intelligent application used in the paper simulates the epidemic situation in the UK as an example. The findings are as below: the optimal intervention strategy is to suppress the intervention at P=3 (intervention intensity: the average number of contacts per person per day) before the end of March 2021, then gradually release the intervention intensity at a rate of P+2, and finally release the intensity to P=9 in June 2021. The COVID-19 pandemic will end at the end of June 2021, when the total number of deaths will reach 128,772. This strategy will be able to balance the trade-off between loss of life and economic loss. Compared with the official statistics released by the UK government on 31st May 2021, our model can accurately predict the relative error rate of the total number of cases is less than 6.9%, and the relative error rate of the total number of deaths is less than 1%. Furthermore, the model is also suitable for collecting data from countries/regions around the world. IEEE

Effect of economic policies on the stock and bond market under the impact of COVID-19

The global epidemic of COVID-19 has made a huge impact on global health and financial markets. And the spread of the virus has stalled economic development in many parts of the world. As stocks and bonds are two important financial assets, how to take appropriate economic policies to restore the stock and bond markets is the focus of governments as they are seeking for quick recovery. Based on the Event Study method and the GARCH model, data from 1 October 2019 to 1 April 2020 were collected from 26 countries or regions as analytic samples. The results show: 1) COVID-19 has made greater impacts on the stock market than the bond market;2) the economic policy responses after the COVID-19 has brought impacts on both of the stock and the bond markets;3) the monetary policy responses has brought greater volatility to the stock market than the fiscal policy responses, while the fiscal policy responses has brought greater volatility to the bond market than the monetary policy;4) the fiscal policy has brought more positive effects on the stock market, and monetary policy has brought more positive effects on the bond market. This research is helpful to understand the mechanism of COVID-19′s impacts on the stock and bond market. And it is of great practical significance to the governments’ decisions to make economic policy responses after an epidemic. © 2021

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.

ComputeCOVID19+: Accelerating COVID-19 Diagnosis and Monitoring via High-Performance Deep Learning on CT Images

The COVID-19 pandemic has highlighted the importance of diagnosis and monitoring as early and accurately as possible. However, the reverse-transcription polymerase chain reaction (RT-PCR) test results in two issues: (1) protracted turnaround time from sample collection to testing result and (2) compromised test accuracy, as low as 67%, due to when and how the samples are collected, packaged, and delivered to the lab to conduct the RT-PCR test. Thus, we present ComputeCOVID19+, our computed tomography-based framework to improve the testing speed and accuracy of COVID-19 (plus its variants) via a deep learning-based network for CT image enhancement called DDnet, short for DenseNet and Deconvolution network. To demonstrate its speed and accuracy, we evaluate ComputeCOVID19+ across several sources of computed tomography (CT) images and on many heterogeneous platforms, including multi-core CPU, many-core GPU, and even FPGA. Our results show that ComputeCOVID19+ can significantly shorten the turnaround time from days to minutes and improve the testing accuracy to 91%. © 2021 ACM.

Detection of Novel Coronavirus Pneumonia Based on CT Image with Convolutional Neural Network Processing

To improve the ability to distinguish novel coronavirus pneumonia from common pneumonia and assist medical staff in chest CT examination of pneumonia patients, a detection method using convolution neural network and CT image based on artificial intelligence image analysis was proposed. First, a convolution neural network model was built, and the influence of model depth on detection results was evaluated to select the best network structure. Second, a tabu genetic algorithm was proposed to obtain the optimal hyper-parameter combination of the network model and to enhance the performance of the model. Finally, the best network model was employed to distinguish novel coronavirus pneumonia from common pneumonia. Experimental results show that the accuracy, MCC, and F1Score of the proposed detection algorithm are 93.89%, 93.32% and 91.40%, respectively, which has higher detection accuracy than other algorithms. © 2021, Acta Metrologica Sinica Press. All right reserved.

Molecular basis of pangolin ACE2 engaged by COVID-19 virus

The virus caused coronavirus disease 2019 (COVID-19 virus), also called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the seventh coronavirus that can infect humans, and belongs to the genus β-coronavirus in the family Coronaviridae. As of 5 November 2020, SARS-CoV-2 has caused >47000000 confirmed cases and >1200000 related deaths in 219 countries and regions, bringing great challenges to global public health. Currently, there is no approved therapeutics or vaccines for the treatment of this disease. Several studies suggested SARS-CoV-2 might have originated from bats based on phylogenetic analysis, but the intermediate host of the virus is still unknown. Besides humans, cats, dogs, tigers, lions, minks, and other species have been reported to be infected by SARS-CoV-2. Several studies have reported pangolins as the only other mammalian species carrying coronaviruses related to SARS-CoV-2 besides bats, and suggested pangolins might be the intermediate host of SARS-CoV-2. Previously, we and other groups identified the angiotensin converting enzyme 2 (ACE2), the receptor of SARS-CoV, also functions as the entry receptor of SARS-CoV-2 and is recognized by the receptor binding domain (RBD) of the spike protein (S). Then, we elucidated the interaction between SARS-CoV-2 RBD and human ACE2 (hACE2) or cat ACE2 (cACE2), and also found that SARS-CoV-2 had broad potential host range, including domestic animals, companion pets and wild animals. In this study, we investigated the binding features of SARS-CoV-2 and two pangolin coronaviruses (pangolin-CoVs, GX/P2V/2017 and GD/1/2019) that recognize the receptors of both pangolin ACE2 (pACE2) and hACE2 using surface plasmon resonance (SPR) and structural methods. We further determined the crystal structure of SARS-CoV-2 S (RBD) in complex with pACE2 at a 2.3 Å resolution, revealing the similarity in the binding mode between SARS-CoV-2 RBD to hACE2 and to cACE2. Interestingly, we found that the SARS-CoV-2 RBD-pACE2 complex is more similar to the SARS-CoV-2 RBD-hACE2 complex than to SARS-CoV-2 RBD-cACE2 complex. Furthermore, we modeled the interactions of GX/P2V/2017 RBD and GD/1/2019 RBD bound to pACE2 and hACE2, respectively, and found that both viruses adopted similar binding mode as SARS-CoV-2 RBD to pACE2 and hACE2. However, crystal structure and homology modeling implied that the interaction between the three RBDs and pACE2 were slightly weaker than their respective binding to hACE2, which was consistent with the receptor-RBD protein interaction measured by SPR. These results could facilitate better understanding of SARS-CoV-2 evolution, indicate the potential of pangolin-CoVs to enter human population that may lead to another outbreak, and highlight the importance of monitoring pangolin CoVs to prevent possible spillovers. © 2021, Science Press. All right reserved.