This paper aims to explore the application effects and limitations of domestic generative AI tools,
including “ERNlE Bot” (Baidu),“KIMI,” “DouBao,” and “MiTa AI Search,” in the Japanese teaching of
Jilin Institute of Chemical Technology Through methods such as questionnaires, classroom observations, analysis
of students' works, and teacher interviews, combined with practical teaching cases, this study conducts an in-
depth analysis of the role of these tools in assisting teachers' teaching and students learning processes. The
results show that domestic generative AI tools have significant advantages in expanding Japanese teaching
resources, providing personalized learning support, and improving teaching efficiency. However, there are also
certain limitations, such as the need to improve the accuracy of generated content, lack of in-depth cultural
understanding, and the need to enhance interactivity. By reasonably utilizing these tools and addressing their
limitations, we can further promote the development of college Japanese teaching.

The cultivation of responsibility among college students in the new era is an important part of the national talent cultivationIt is of strategic significance for college students to practice the core socialist values, establish a positive attitude towards life,and better shoulder the responsibility of national rejuvenation. College students' sense of responsibility, which is organically composed of personal responsibility, national responsibility, and mission responsibility, needs to be guided and cultivated from multiple levels such as individuals, families, schools, and society, in order to better accumulate strength from young people for the great rejuvenation of the Chinese nation.

Microwave assisted extraction method was used to extract polysaccharides from the fruited bodies of Ganoderma lucidum. The extraction process of polysaccharides was optimized and the antioxidant activity was investigated. According to the single factor experimental results, the solid-liquid ratio, extraction time, extraction temperature and extraction power were determined as independent variables, and the content of polysaccharide was chosen as the response value. The optimal extraction conditions were as follows: solid-liquid ratio 1:20(g/mL), extraction time 20 min, extraction temperature 80℃ and extraction power 570 W. The average polysaccharide content was 1.15% by three verification experiments under this process condition. The IC50 value of DPPH free radical scavenging rate and the IC50 value of ABTS free radical scavenging rate were 0.40 mg/mL and 0.21 mg/mL respectively, and the total reducing power of polysaccharide was better. The polysaccharide has antioxidant ability, which provides theoretical basis for further development of Ganoderma lucidum polysaccharide.

In order to explore the influence of flow field and component concentration distribution on the denitrification efficiency and ammonia escape of SNCR device, and improve the denitrification performance of the device, a three-dimensional computational fluid dynamics model of the boiler denitrification system was established by computational fluid dynamics (CFD) simulation method, and numerical simulation was carried out. By simulating the selective non-catalytic reduction (SNCR) denitrification process of a circulating fluidized bed boiler of a 350MW unit in a plant, the effects of spray gun position, ammonia nitrogen ratio, ammonia spray angle and droplet size on SNCR denitrification effect were studied, and the SNCR denitrification system of the boiler was optimized. The results show that the denitrification efficiency increases with the increase of the molar ratio of ammonia to nitrogen after adjusting to the symmetrical spray gun arrangement. The increase of ammonia spraying speed and the increase of atomized particle size of reducing agent also have a certain impact on the denitrification efficiency and ammonia escape. After the optimization of the boiler SNCR system and operating parameters, the maximum denitrification efficiency reached 79.09%. The results of this study are helpful to improve the denitrification efficiency and provide an important reference for the actual transformation design.

 An improved Genetic Algorithm (GA) is proposed to solve the problems of poor initial solution,local optima and low aceuracy of the traditional GA for solving the Travelling Salesman Problem(TSP).Firstly,the greedy algorithm is combined with elite selection to improve the quality of the initial solutions in the population. Secondly , the steps of adaptive crossover and mutation probability are designed, and the Metropolis criterion is combined to prevent the genetic algorithm from falling into local optima.Finally, Bidirectional Three- Cross of Greedy Algorithm and 2-opt search algorithm are added to improve the accuracy The results show that the deviation rate of the optimal solution of the improved genetic algorithm is less than 1.88%, and the deviation rate of the mean is less than 2.27%.

Aiming at the problems of inefficiency of dense multi-face detection, faces are easy to be occluded and difficult to be detected with small size, a YOLOv8-IFD dense multi-face detection algorithm is proposed. Based on YOLOv8, firstly, the DCNv2 convolutional variant module is embedded in the backbone network to increase the modulation mechanism and use the weights to adjust dynamically, and enhance the model learning ability to improve the detection accuracy; then, the CA attention mechanism module is introduced in the tail and neck networks of the YOLOv8 backbone network to strengthen the ability of image feature extraction, and inhibit the influence of irrelevant features on the accuracy; finally, a loss WIoD algorithm is introduced based on the dynamic non monotonic focusing mechanism based loss WIoU Loss is introduced as the bounding box regression loss function to accelerate network convergence and improve the detection accuracy of the model. Experiments are conducted using the Wider Face public dataset, and the results show that the improved YOLOv8-IFD algorithm improves the mean average accuracy by 2.4% compared with the original algorithm, and the amount of computation is relatively reduced. In addition, compared with other algorithms, there is a significant improvement in the effect of dense multi-face detection, which verifies the effectiveness and applicability of this improved method.

"Detecting Coordination Number of Silver-Amino Complex Ion" is one of the basic experiments of "Inorganic Chemistry Experiments " in university Based on coordination equilibrium and precipitation dissolution equilibrium, the experiment is a measurement experiment mainly completed by titration experimental operation and coordinate method data processing The experiment is conceived ingeniously and easy to operate, but there are still a number of issues in the process of operation and data treating deserved thinking, such as the selection of titrant type, the determination of the titration endpoint, the water supplement during the experimental process and the data processing at the later stage, etc. According to the consideration and discussion above , students can understand more thoroughly and operate more skillfully in the experiment. Finally, the experimental result will be more accurate.

The way university teachers teach and manage is constantly changing with the rapid development of digital technology. However, the wide application of technology does not mean that every teacher can effectively integrate in teaching and management. In order to improve the efficiency of college teachers' use of digital technology, this study discusses the current situation of the use of digital technology by applied college teachers from four dimensions: communication, professional development, teaching and administrative management, and puts forward corresponding improvement strategies from the aspects of changing concepts, strengthening training, and establishing incentive and guarantee mechanisms. This study provides a practical reference for promoting the extensive application of educational technology by teachers in applied universities, so as to enhance the ability of college teachers to use technology.

 From the perspective of "the second combination" , shaping the red cultural discourse system is the internal demand of the new era, and also the inevitable choice to realize the fundamental task of cultivating people in colleges and universities.Based on the background of the new era, the existing predicament of the integration of red culture discourse system into ideological and political courses in universities is systematically sorted out, such as the imbalance of discourse field, the imbalance of discourse context, the tradition of discourse coding technology and the pan-entertainment of discourse decoding culture. In the principle of integrating ideological and political courses into the govermance path: With the help of red cultural historical materials and changing language style, gather the leading power of discourse field; with the help of sufficient red cultural resources,enrich the emotional penetration of discourse context; with the aid of digital technology, optimize the innovation driving force of discourse coder; with the aid of the evaluation system, enhance the practical transformation power of discourse decoder.

 Under the background of "New Engineering," the core course "Fermentation Engineering" in the bioengineering major urgently requires reform to cultivate interdisciplinary engineering talents that meet contemporary demands .This study explores reform pathways, focusing on interdisciplinary integration, innovative teaching models, and practical skill development. By incorporating cutting-edge research, strengthening experimental teaching, and deepening industry-academia collaboration, the reform aims to enhance students' comprehensive competencies, practical skills, innovative thinking, and global perspective. Findings indicate that the reform optimizes the curriculum, strengthens the competitiveness of bioengineering professionals, and promotes industry innovation and sustainable development.