At present, there are problems in practical teaching of various accounting professional groups, such as unclear teaching objectives, insufficient collaborative effects of teaching organizations, and ineffective integration of teaching resources. Based on the practical teaching experience of the accounting professional group at Tangshan Vocational and Technical College, this article proposes corresponding practical education and obstacle protection strategies to ensure the effective improvement of the practical teaching ability of the accounting professional group.

As an important part of modern higher education, this topic mainly studies the construction of innovative teachers' team in local applied colleges and universities. After analyzing the problem, we found that there are many problems in the construction of innovative teachers in local applied colleges and universities, such as the lack of effective cultivation mechanism and the lack of corresponding incentives. Therefore, this paper aims to put forward some suggestions on how to establish innovative teachers' team, in order to provide a reference basis for the development of innovative teachers' team in local applied colleges and universities.

The combination of special education on civil law and legal education in ideological and political courses can further enrich the content of legal education, improve the rigor of legal education, and guide students to flexibly apply legal knowledge. This article mainly focuses on the importance of integrating civil code thematic education into the rule of law teaching of ideological and political courses, the effective path of integrating civil code thematic education into the rule of law teaching of ideological and political courses, and the precautions for integrating civil code thematic education into the rule of law teaching of ideological and political courses. It focuses on exploring new paths for the rule of law teaching of ideological and political courses in conjunction with civil code thematic education, and hopes to provide some reasonable suggestions, Highlighting the importance of legal education in ideological and political courses, we aim to attract and cultivate students through rich and colorful legal education in ideological and political courses.

The emergence of modern new technology, 3D printing technology, has attracted the attention of various sectors of society and gradually has a widespread impact on the education industry. In the current teaching of "mechanical design", on the basis of understanding 3D printing technology, university teachers urgently need to think about how to reasonably introduce this technology to innovate the teaching mode of "mechanical design". In this regard, this article analyzes the current situation of the "Mechanical Design" major through the initial introduction of 3D printing, elaborates on the advantages of applying 3D printing technology in the "Mechanical Design" teaching mode, and puts forward application suggestions. It is hoped that this can promote the exploration of the educational philosophy of 3D printing in the "Mechanical Design" teaching mode.

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.

With the characteristics of resisting business cycle, mitigating cash flow, and improving portfolio resilience, special assets usually enter a highly active period in the economic downturn cycle, and gradually become an effective asset allocation means in the transition phase of the business cycle. This article aims to analyze the importance of the development of China's special asset investment industry in the context of high-quality economic development, and explore how to introduce market-oriented mechanisms to build primary and secondary markets for special assets, in order to improve the effective allocation of market resources and maximize returns.