Search

Agricultural and rural informatization is the strategic commanding heights of agricultural and rural modernization, and the improvement of farmers' digital literacy is the core task of digital rural construction. In the digital age, the development of the platform economy has given Internet platform enterprises a new connotation of social responsibility to improve farmers' digital literacy. By strengthening platform governance to enhance farmers' willingness to use digital, promoting science and technology for good to enhance farmers' digital use skills, and innovating digital services to enhance farmers' digital use effects, Internet platform enterprises ultimately achieve the purpose of improving farmers' digital literacy.

In the process of offline first-class graduate course construction, teachers should update the teaching idea, explore the curriculum reform, strengthen the classroom teaching, innovative teaching mode, promote teaching, with student development as the centre, is committed to tap students 'inner potential and stimulate learning motivation, pay attention to students' morality, intellectual and physique all-round development, ensure the teaching quality. In order to cultivate students' professional ability and innovation ability, the article first of the modern agricultural innovation and rural revitalization of strategic course construction content introduction, and then expounds the modern agricultural innovation and rural revitalization of strategic course construction ideas, finally discusses the modern agricultural innovation and rural revitalization strategy course as offline first-class graduate course construction practice.

The paper herein will analyze the sale of iced products affected by variation of temperature. Firstly, we will collect the data of the forecast temperature last year and the sale of iced products and then conduct data compilation and cleansing. Finally, we will set up the mathematical regression analysis model based on the cleansed data by means of data mining theory. Regression analysis refers to the method of studying the relationship between independent variable and dependent variable. Linear regression model that corresponds to the practical situation is proposed in the paper, which is to set up simple linear regression model based on practical problem and then to implement the following with the help of the latest and most popular Python3.6. Python3.6 boasts the features of pure object-oriented, platform independence and concise and elegant language. So we will call the corresponding library function to predict the sale of iced products according to the variation of temperature, which will provide the foundation for the company to adjust its production each month, or even each week and each day. As a result, the situation of overproduction can be avoided. Moreover, the other situation as the profit will be affected by the lack of production since the rise of temperature will also be avoided. So the regression model also has reference value for the other fields of marketing.

Quantitative methods for evaluating and managing software security are becoming reliable with the ever increasing vulnerability datasets. The Common Vulnerability Scoring System (CVSS) provides a way to quantitatively evaluate individual vulnerability. However it cannot be applied to evaluate software risk directly and some metrics of CVSS are hard to assess. To overcome these shortcomings, this paper presents a novel method, which combines the CVSS base score with market share and software patches, to quantitatively evaluate the software risk. It is based on CVSS and includes three indicators: Absolute Severity Value (ASV), Relative Severity Value (RSV) and Severity Value Variation Rate (SVVR). Experimental results indicate that by using these indicators, the method can quantitatively describe the risk level of software systems, and thus strengthen software security.