Objective: To explore the extracurricular classes teaching mode and clinical practice ability of Chinese medicine in Hong Kong, Macao and Taiwan. Methods: A retrospective control study method was used to select the grade 2014 undergraduates and grade 2015 undergraduates of Jinan University as the research object, and the average performance of the two different modes in the traditional teaching and the new competition unit as a second class was added. Points, class pass rate, excellent rate and award-winning situation are compared to evaluate the effect of the new teaching model. Results: There is no significant difference between the 2014 level and the 2015 grades of Hong Kong, Macao and Taiwan. For the performance point, the 2015 Hong Kong, Macao and Taiwan students are increasing. There was no significant difference in the mean GPA between grade 2 and grade 2014 before the competition teaching model (P > 0.05). After the competition teaching mode, the average GPA of the third grade of the former was much higher than that of the latter (P < 0.05), compared with that of the overseas Chinese students of Hong Kong, Macao and Taiwan who received only the traditional Chinese medicine subject education in grade 2014 (P < 0.05). From the point of passing rate and excellent rate, the pass rate and excellent rate of grade 1 were much higher than that of grade 2014, and the difference between them was statistically significant (P < 0.05). As far as the award is concerned, the status of award-winning and project establishment in 2015 was higher than that in grade 2014, and the difference was statistically significant (P < 0.05). Conclusion: Competition teaching is beneficial to the training of Chinese medicine learning
Electromagnetic stirring with segment roller in the secondary cooling zone is a very important metallurgical technology for the continuous casting of the ultra-wide slab. Thus, numerical simulation is applied to investigate magnetohydrodynamic flow and solidification in the continuous caster with strand electromagnetic stirring. Numerical results showed that, the predicted values agree well with the experimental data. If the electromagnetic stirring roller with the symmetric split structure forms the symmetric magnetic field, there are the symmetric electromagnetic force, the symmetric flow field and the symmetric solidified shell. If the single electromagnetic stirring roller with the symmetric split structure forms the symmetric electromagnetic force, the flow field is like a butterfly. If the two electromagnetic stirring rollers forms the symmetric electromagnetic force, the flow field is like two butterflies. The effect of strand electromagnetic stirring on the fluid flow in the mold can not be ignored in the case of SSR (Same direction for upper rollers, Same direction for lower roller, Reverse direction for relation between upper/lower rollers), and it can be ignored in the case of NAS (No upper rollers, Away direction for lower roller, Single roller for relation between upper/lower rollers) and CAR (Close direction for upper rollers, Away direction for lower roller, Reverse direction for relation between upper/lower rollers).
Since the outbreak of COVID-19, remote teaching methods have been widely adopted by schools. However, distance education can frequently lead to low student emotional engagement, which can not only cause learning burnout, but also weaken students’ interest in online learning. In view of the above problems, this study first proposed a learner knowledge state model that integrates learning emotions under the background of digital teaching to accurately describe the current learning state of students. Then, on the basis of the public face dataset lapa, we built an online multi-dimensional emotion classification model for students based on ResNet 18 neural network. Experiments showed that the method has an average recognition accuracy of 88.76% for the four cognitive emotions of joy, concentration, confusion, and boredom, among which the accuracy of joy and boredom is the highest, reaching 96.3% and 97.0% respectively. Finally, we analyzed the correlation between students’ emotional classification and grades in distance learning, and verified the effectiveness of the student’s emotional classification model in distance learning applications. In the context of digital teaching, this study provides technical support for distance learning emotion classification and learning early warning, and is of great significance to help teachers understand students’ emotional states in distance learning and promote students’ deep participation in the distance learning process.
RuoGuo village is one of the many poverty-stricken areas in China. In recent years, The School of Traditional Chinese Medicine of Jinan University has actively implemented the party's guidelines for poverty alleviation work, adopting various forms and methods to carry out poverty alleviation work in RuoGuo Village, which has achieved initial results. Through this survey, we can see the effectiveness of the JNU's poverty alleviation work, and recognize the current situation of Zhuanguo Village so that the next poverty alleviation work can be more targeted. By summarizing the merits and shortcomings of Jinan University's poverty alleviation work, We can improve working methods for the targeted poverty alleviation in Runguo Village, and accumulate the experience of targeted poverty alleviation, which is also a way to actively respond to the national targeted poverty alleviation policy. Besides, we can provide a certain reference value for the targeted poverty alleviation work in other regions.
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