The learning of English courses is not only a process for students to master language knowledge and skills, but also a process for improving students' comprehensive humanistic quality. The integration of moral education in English teaching can not only cultivate students' good study habits, improve the efficiency of English learning, but also help to cultivate students' excellent moral quality. Through the research on the organic integration strategy of primary school English teaching and moral education, this paper aims to provide an effective method for the effective integration of primary school English teaching and moral education, so as to promote the improvement of the level of primary school moral education and achieve the goal of building morality and cultivating people.

Cultivating the thinking quality of high school students is one of the core tasks of high school English curriculum reform. This paper expounds the relationship between the cultivation of thinking quality and reading teaching, combined with the practice of online teaching, taking the Welcome to the unit & reading part of Unit 3 Back to the past in the module 3 of the Jiangsu Education Edition as an example, to discuss how to cultivate English reading in senior high school. Students' logical thinking and critical thinking ability demonstrate the feasibility of cultivating students' thinking quality in the process of high school English reading teaching.

It is well known that determining the exact values of crossing number for circulant graphs is very difficult. Even so, some important results in this field are still proved. D.J. Ma was proved that the crossing number of C(2m + 2, m) is m + 1[8]. Then such problem for C(n, 3) was further solved [7]. Pak Tung Ho and X. Lin obtained accurate values for the crossover numbers of C (3m, m) and C (3m + 1, m)[4][5]. In this paper, as a complement, we show that the edges from the principal cycle of C(9, 3) do not cross each other in an optimal drawing.

The continuous development of emerging economies represented by China and Russia has exacerbated the changes in the world political and economic landscape, and international organizations represented by the United Nations have led to inefficient dispute resolution mechanisms in international affairs due to their formalism and pluralism. On the contrary, G-groups has shown its flexibility and efficiency in global governance. However, the international community has been questioned G-group’s legitimacy for many years. This paper will take the G7 and G20 as examples, analyze the legitimacy problems in G-groups, explain their reform measures, and propose future reform directions to promote the development of G-groups, so as to help the international community to conduct global governance more effectively.

Online transportation is a new type of service equipped with an internet network, and its presence in Indonesia is considered a service that disrupts the transportation sector. The government is faced with a complex policy problem to regulate online transportation. This article aims to reveal the role of policy actors in the media regarding policy issues and online transportation policy solutions. This article used qualitative analysis and the NPF policy narrative framework approach. This study found that licensing issues and Permenhub were problems that the DIY and Riau governments shared. More specific problems in Riau Province are related to violence issues, and that in DIY are related to congestion problems. The policy solution recommended by policy actors to the media is to make regional level regulations that technically regulate online transportation according to the area conditions.

This paper provides a comprehensive review of SURF (speeded up robust features) feature descriptor, commonly used technique for image feature extraction. The SURF algorithm has obtained significant popularity because to its robustness, efficiency, and invariance to various image transformations. In this paper, an in-depth analysis of the underlying principles of SURF, its key components, and its use in computer vision tasks such as object recognition, image matching, and 3D reconstruction are proposed. Furthermore, we discuss recent advancements and variations of the SURF algorithm and compare it with other popular feature descriptors. Through this review, the aim is to provide a clear understanding of the SURF feature descriptor and its significance in the area of computer vision.