"Accelerate the construction of a strong education country, strive to open up a new situation, and consolidate the foundation of the country's prosperity and strength." On May 29, 2023, General Secretary Xi Jinping stressed that education, as an important foundation for national development, should accelerate the pace of reform and innovation. As the cradle of talent training, colleges and universities should fully recognize the country's urgency for high-level talents, and further breakthroughs should be made in the reform and development of education and teaching. Textbook construction is an important measure to strengthen China's academic construction and promote the development of China's education. At present, it is still facing problems such as slow renewal speed, single form of expression and low utilization rate of achievements. Taking Z University as an example, this article briefly discusses some suggestions for the construction and reform of postgraduate textbooks in combination with the actual situation.

With the continuous development of science and technology, network technology has been applied to various fields, and the education model of universities has also made innovations with the application of network technology. In ideological and political education in universities, influenced by traditional educational models and other factors, the quality of education is uneven, and the learning effectiveness of students needs to be improved. Therefore, integrating network technology and innovating teaching methods in ideological and political education in universities is very important. Conducting online ideological and political education in universities can enhance students' interest in learning, while also helping them develop good moral qualities and providing assistance for their future development. This article focuses on the research goal of ideological and political education models in universities, exploring the importance and methods of integrating online ideological and political education in universities, hoping to provide some help for relevant universities.

The application of positive psychology in the work of mental health education in colleges and universities can help students better face setbacks, enable students to face learning and life with a positive attitude, and promote students' future development and promote students' healthy growth. Based on positive psychology, this paper analyzes and discusses its practice and exploration in college students' mental health education.

Taking Guizhou University of Commerce as an example, the author pointed out the problems in current Japanese language teaching in universities and proposed improvement measures from three aspects, aiming to explore a suitable path for Japanese language teaching in commerce colleges.

Since the reform and opening up, China has continuously pushed forward the administrative system reform, adapted to the national conditions and the requirements of the times, and achieved fruitful results. Generally speaking, the successive administrative system reforms have focused on the government and the adjustment of the dynamic relationship between government-market-society. Due to the special characteristics of local foreign affairs departments in the administrative system, the successive reforms have provided less guidance to them, and related research is also relatively lacking. However, from a practical point of view, local foreign affairs offices have long followed the pace of administrative system reform and carried out a series of adjustments and optimizations. As an important element of administrative system reform, the functional transformation of local foreign affairs offices has been continuously promoted along with institutional reform. This research, which is mainly based on talks and supplemented by document comparisons, aims to study the development results and experiences of the Foreign Affairs Office of Shaanxi Province in the context of administrative system reform, and tries to provide a case study for the administrative system reform of local foreign affairs departments.

In this study, the authors propose a method that combines CNN and LSTM networks to recognize facial expressions. To handle illumination changes and preserve edge information in the image, the method uses two different preprocessing techniques. The preprocessed image is then fed into two independent CNN layers for feature extraction. The extracted features are then fused with an LSTM layer to capture the temporal dynamics of facial expressions. To evaluate the method's performance, the authors use the FER2013 dataset, which contains over 35,000 facial images with seven different expressions. To ensure a balanced distribution of the expressions in the training and testing sets, a mixing matrix is generated. The models in FER on the FER2013 dataset with an accuracy of 73.72%. The use of Focal loss, a variant of cross-entropy loss, improves the model's performance, especially in handling class imbalance. Overall, the proposed method demonstrates strong generalization ability and robustness to variations in illumination and facial expressions. It has the potential to be applied in various real-world applications such as emotion recognition in virtual assistants, driver monitoring systems, and mental health diagnosis.