As one of the ways of the double reduction policy, the Family Education Promotion Law not only urges state organs and schools to fulfill their obligations, but also contributes to the growth of children, the shaping of family traditions and the vigorous development of society.However families who still believe that the traditional concept of beating still exists and mostly in rural areas, families with advanced concepts believe that children should not take beating and scolding, but conform to their own characteristics and using a scientific way of education and training.

In agriculture, crop yield and quality are critical for global food supply and human survival. Challenges such as plant leaf diseases necessitate a fast, automatic, economical, and accurate method. This paper utilizes deep learning, transfer learning, and specific feature learning modules (CBAM, Inception-ResNet) for their outstanding performance in image processing and classification. The ResNet model, pretrained on ImageNet, serves as the cornerstone, with introduced feature learning modules in our IRCResNet model. Experimental results show our model achieves an average prediction accuracy of 96.8574% on public datasets, thoroughly validating our approach and significantly enhancing plant leaf disease identification.

The cultivation of English majors in applied universities aims to cultivate versatile foreign language talents that meet the needs of social development. The construction and development of the English major need to keep up with the pace of changes in the times, and meeting the needs of current social development is the main criterion for measuring the value of this major. The satisfaction of English major students with their major is an important factor affecting the construction and reform of the major. This article mainly uses the questionnaire survey method to survey English majors in several applied universities and analyze their major satisfaction.