From the discovery of the first coronavirus in 1937 to the global spread of SARS-CoV-2 Severe Acute Respiratory Syndrome Coronavirus 2, many members of the coronavirus family pose a great threat to nature and human society by causing a variety of diseases in mammals and birds. Especially some of the Genus human coronaviruses, due to their high infectivity, instant outbreak and high fatality, have caused widespread and extensive social panic. By summing up features, classification, genomic structure, infection mechanism, origin and evolution rule of coronavirus, as well as its route of transmission and influence factor, the paper can enable people to have the relevant cognition and understanding of coronavirus, and provide the theoretical support for prevention and treatment of coronavirus infection.

The outbreak of COVID-19 caused by the new type of coronavirus has a great influence on the normal production and life order of the people, and has also caused the whole society to attach importance to the viral infectious diseases. From the characteristics of the new coronavirus, the supplement and adjustment of microbiology course content, the application of teaching mode of combining network teaching with constructive teaching method,the building of good hygiene habits, the concept of harmony with animals and the cultivation of social responsibility,this paper expounds the thinking on reform in microbiology course in the current severe situation of prevention and control of COVID-19.

During the epidemic of COVID-19, some schools actively use various online platforms and resources to teach online in order to carry out teaching activities unceasingly. Due to the characteristics of network engineering major of Chaohu University, there is no suitable online platform, which will have an impact on the quality of online teaching. In order to carry out the online teaching better, according to the needs of teaching, MIHA online learning system for network engineering major is developed in a customized manner from the aspects of modular course management, homework similarity analysis and learning effect analysis.

While China忆s economy has achieved remarkable growth with the deepening of China忆s reform and opening up, the income gap is also widening. By constructing the ARIMA model to predict the Gini coefficient in China, the Gini coefficient in 2020 is 0.4716, and the fluctuation tends to be stable in recent years, which indicates that the economic structure of our country tends to improve under the current policy. On the basis of the forecasted results,the panel data of 1998~2020 are selected, and the Gini coefficient term and the square term of Gini coefficient are constructed based on the Kuznets curve. The results show that the influence of income gap on China忆s economic growth presents an "inverted U" structure; urbanization level and trade level have a positive effect on economic
growth; investment in fixed assets and aging level will restrain economic growth. The rationalized and advanced factor allocation will narrow the income gap and have an significant impact on China忆s economic growth.

High-tech industrial clusters are of great significance to local economic development. Human capital is an important factor in the realization of high-tech industrial clusters. Based on qualitative analysis and from different aspects of human capital, this paper uses panel data model to quantitatively analyze the effect of human capital on the process of high-tech industry clustering in Anhui Province. It is found that all aspects of human capital have a significant positive effect on Anhui high-tech industrial clusters; the total amount of human capital investment and the quality of human capital are the two most significant factors in the process of Anhui high-tech industry clustering;the investment in specialized technical human capital is also a very important factor; the effect of human capital quantity is limited. The effects of human capital on the process of high-tech industry clustering in different regions of Anhui Province do not vary significantly.

In the context of the ever-changing international financial environment and financial markets, preventing systemic financial risks has become an important research topic for governments of various countries. By constructing a systemic financial risk indicator system, this article mainly uses the vector autoregressive model VARto study the impact of different types of monetary policies on China忆s systemic financial risk. The research results show that:"quantity" monetary policy has a positive impact on systemic financial risks. Under the active monetary policy, the increase of market money supply is likely to cause the accumulation of systemic financial risks; "price" monetary policy has a negative impact on systemic financial risks. By adjusting interest rates, systemic financial risks will have varying degrees of impact up or down. Therefore, it is found that the coordinated use of "quantity" and "price" monetary policy tools can help to prevent systemic financial risks and stabilize financial markets.

In this article the continuous ordered weighted average COWAoperator is introduced into the interval Pythagorean fuzzy environment, and a continuous cross entropy measure of interval Pythagorean fuzzy is defined. The continuous cross entropy of interval Pythagoras fuzzy is used to determine the attribute weight, and a programming model with maximum criterion of interval Pythagoras fuzzy continuous cross entropy is established under the condition that the information of attribute weight is not completely determined. Based on the weighted correlation coefficient of the interval Pythagorean fuzzy set, the interval Pythagorean fuzzy multi-attribute decision algorithm is presented, and the sensitivity of attitude parameters is analyzed. Finally, an example is given to illustrate the rationality and effectiveness of the proposed decision-making method.

Aiming at the existing methods of Vague set distance measurement, this paper points out that these methods have some defects through specific vague set data. Therefore, a new distance measurement formula for two Vague values is proposed in this paper, which proves that the distance measurement has good properties, such as non-negative, intermediate and triangle inequality. The application of new Vague set distance measure in pattern recognition is illustrated by an example 

In this paper, the equation of the positive ellipse in polar coordinate system with the center as the pole is derived first. Then, from Newton忆s second law in rectangular coordinate system, Binet formula and energy conservation, it is proved that the orbit of a particle under the action of gravity proportional to distance is an ellipse, and the expressions of the specific parameters, energy and angular momentum of the ellipse orbit are given. Finally, the comparison of these three methods is made, and the choice of some symbols in the calculation process is explained.Although simple, the detailed reasoning process and conclusion given in this paper may provide some reference for the teaching of relevant content.

In this study, acicular goethite FeOOH was prepared via a surfactant-assisted hydrothermal method,and the phase composition and morphology of the FeOOH specimens were studied by means of XRD, SEM and TEM. The effects of hydrothermal temperature, hydrothermal time and different surfactants on the structure and the purity of FeOOH specimens were investigated systematically. It was found that only the Fe2O3 phase but no FeOOH phase can be found in the specimen if not using the addition of any surfactant. The best experimental conditions for the high-purity, high-crystallization and uniform -FeOOH are that the CTAB   cetyltrimethylammonium bromide of 0.2 g or 0.3 g was used as the surfactant, and the temperature conditions were at 180 reaction 2 h.

To improve the safety management capabilities of laboratory in colleges, based on the research about laboratory safety in colleges, the main sources of risk in university laboratories were analyzed under the background of new engineering. The principles of risk control were summarized, and countermeasures were proposed. Results show that both new engineering and laboratory safety in colleges have become research focuses nowadays. The experimental technology and personnel awareness were the main source of the other risks. The increase of environmental risk factors in the laboratories always result in the increase of risk. Commonly, the risk awareness would gradually weaken over time. There are many tools for laboratory risk identification, assessment and control. we
should select appropriate tools for different laboratory risk situations. So, the colleges should keep up with the times choose suitable measures and collaborate with each other to manage laboratory risk.

This paper selects the information of 801 sports communication papers published in Chinese sports journals and other core journals from 1997 to 2018, and analyzes the characteristics of the papers by means of bibliometrics and content analysis. The research shows that from 2012 to 2018, the literature output of sports communication in China was relatively large, and a core publication group was initially formed, but there was no stable core author group. Sports communication development research, sports and news research, sports events and communication effect research, sports culture and communication research, sports communication and new media
research, all media communication research are the hot topics of sports communication research in China. There are some problems in sports communication research in China, such as lack of theoretical research methods, insufficient attention to the hot topics of sports communication, and lack of close connection in the scattered system of research topics. It is an important task for the development of sports communication to pay more attention to the hot topics of sports communication, constantly improve the innovation of sports communication research theories and methods,and thus form the core group of writers.

As a high-level form of educational informatization, smart education has become a research hotspot in the field of education in China. Based on the data of 174 documents from 2003 to 2019 in CSSCI database,CiteSpace Bibliometrics software is used to draw the knowledge map of keyword co-occurrence and document cocitation.This paper makes an objective and comprehensive analysis of the overall research status, research hotspot,research frontier and knowledge base in the field of smart education in China. The conclusion is as follows: The research on smart education in China is hot, but it has not formed a unified theoretical system. The main research force is institutions of higher learning, and there is a certain cooperative relationship between the authors, but there
is a lack of in-depth cooperation among institutions, teams and disciplines. Research focuses include educational informatization, smart campus, smart classroom, smart curriculum, etc. The research is still at the stage of construction and discussion, and the case analysis and practical application are insufficient. With the promotion of information technology, artificial intelligence, intelligent courses and intelligent era are the latest research frontiers.However, a complete and feasible technical support system has not been summarized. By combing the research results, we hope to provide more reliable research reference for other scholars to quickly and effectively understand the research situation in the field of intelligent education in China.

During the epidemic prevention and control period, in order to implement the Ministry of Education’s requirements to suspend classes, but not suspend learning and teaching, colleges and universities in various places have made full use of the advantages and functions of "Internet plus education" to complete large-scale online course construction, teaching organization and supervision management in a very short time. In view of this, this paper obtains the mobile teaching platform data of special University for nearly 40 days, completes the cleaning,extraction, classification and summary operations, and objectively analyzes the online teaching situation of the University during the epidemic period. Based on the characteristics of data, this paper puts forward four teaching behaviors of online teaching, and formulates the supervision standard of "eight observation points" around the four teaching behaviors of online teaching, so as to provide reference for the evaluation of online teaching behaviors of similar colleges and universities, as well as for the supervision of online teaching in colleges and universities.