History, as a remembrance of a country’s rise and fall, is hardly neglected by the public, through various ways. The once hit cultural exploration program National Treasure on CCTV once again inspired millions of people to pay their attention back to the country’s glorious history. In the first season of the program, nine museums ranging from the Palace Museum to other eight major museums throughout China are participating, and each of which needs to select three most precious treasures in its museum to present its “previous history” and “present life”. Through this form, this show aims to inspire more people to get involved in the ancient civilization and make the national treasures “come live”.

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.

Professional identity among faculty members in private higher education institutions plays a vital role in shaping the quality and sustainability of these institutions. This research aims to investigate the factors influencing the professional identity of teachers in Chengdu's private higher education institutions. The study employs a theoretical framework centered on "identification" with behavior intention, behavior attitude, and sense of belonging as fundamental dimensions. Data were collected through questionnaire surveys and analyzed using SPSS 23.0. The study hypothesizes that behavior intention, behavior attitude, and sense of belonging have a significant positive impact on professional identity among faculty members. Additionally, behavior attitude, subjective norms, and perceived behavioral control are expected to have a significant positive influence on behavior intention, and subjective norms and perceived usefulness may positively affect sense of belonging. The results are expected to provide valuable insights for enhancing the professional satisfaction and educational quality of faculty in private higher education institutions.

"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.

In recent years, science and technology have continued to develop and progress, and the level of teaching digitalization has improved. Music education occupies an important position in many universities, and it is necessary and feasible to use digital technology to explore its impact in basic education. The digitalization and technology of music education in colleges and universities have had a positive impact on basic education, such as balancing educational resources, updating education models, optimizing teaching platforms, and practicing student-oriented concepts. In order to maximize the role of digital technology, it can be innovated and applied from sight-singing ear training teaching, orchestration course teaching, and polyphonic course teaching.

Under the background of the continuous development of science and technology, the era of big data has come in an all-round way, and big data technology has also been widely used in the education industry. The course of financial management in applied colleges and universities is a highly applied course, which focuses on the substance of the course. Teachers need to create a good learning environment for students with the help of information technology, and constantly cultivate students' professional skills and professionalism. In order to improve the quality of financial management courses in colleges and universities, this paper mainly analyzes the management courses in application-oriented colleges and universities, expounds the factors affecting the practical teaching quality of management courses in colleges and universities, and analyzes the teaching methods of management courses in application-oriented colleges and universities. Finally, it is concluded that only when teachers constantly improve their teaching level, can students' learning level be improved by combining theory with practice.

In recent years, incidents of school bullying have been on the rise, attracting increasing attention from society. School bullying refers to the repeated and sustained use of force or coercion by individual or group of students to oppress other students in terms of power or status, resulting in many physical and psychological problems for the victims. This paper introduces the definition, classification, role types, and the impact on victims, as well as interventions for school bullying. Studies have shown that school bullying can have negative psychological consequences for victims, such as anxiety and depression, making timely intervention extremely important. Intervention measures include educating the active perpetrators, victims, and bystanders. In particular, the "STAC" course is an effective way to educate bystanders. In summary, school bullying is a problem that requires timely intervention, and it requires joint efforts from schools, families, and society to solve.

Nowadays, the scale of graduate education in our country has been growing, but the quality of graduate education has not been improved. Therefore, how to effectively improve the quality of postgraduate education has become the most concerned issue in the academic circle and universities, which directly highlights that the internal guarantee mechanism of postgraduate students to improve the quality of postgraduate education has become the focus of academic research, in which tutors are the main influencing factors of postgraduate education quality. The tutor plays a positive and dominant role in stimulating, demonstrating, modeling, guiding and infecting the postgraduate's behavior. This paper analyzes the existing problems in exerting the role of postgraduate tutors, and from the problems, puts forward the countermeasures and suggestions to exert and mobilize the initiative of tutors.