In order to provide a new way and method for safety evaluation of Chinese materia medica (CMM) and also to provide a reference for conventional animal experiments, computer toxicity prediction technique and method were established to predict the cardiotoxicity of CMM. Mold2 software (version 2.0.0) was used to calculate molecular descriptors of 1034 chemical components. Then, the random forest (RF) method and the support vector machine (SVM) method were used to screen the descriptors. After that, boosting trees method, SVM, regularized discriminant analysis method and RF method were used to build up prediction model, respectively. Finally, the cardiotoxicity of chemical components was predicted by the quantitative structure-activity relationship (QSAR) model with the best accuracy and Kappa value. The results showed that by comparing the accuracy and Kappa value of prediction model, it was found that the RF model was the optimal algorithm model with 86.3%accuracy and the Kappa value of 0. 725. Through the prediction research on chemical components of Chinese herbs with toxicity recorded in the Pharmacopoeia of People’s Republic of China (version2010),suchasEvodia rutaecarpa,North bean root,Murraya incense,some meaningful results had been received. It was concluded that QSAR model on prediction research of chemical components of Chinese herbs provided important references for further experimental studies and clinical researches.

Objective To study computer toxicity prediction technology and predict the acute toxicity of Chinese materia medica; To provide a new way and method for safety evaluation of traditional Chinese medicine. Methods First, Mold2 software (version 2.0.0) was used to calculate molecular descriptors of 7409 chemical components. After preliminary screening of molecular descriptors, quantitative structure-activity relationship (QSAR) models were built up with Random Forest (RF) for screening the optimum prediction model. From the 83 kinds of toxic Chinese materia medica in Chinese Pharmacopoeia (2010 edition), acute toxicity of 60 kinds of Chinese materia medica reported from monomer structure (1692 chemical components) were under prediction.Results Totally 7409 pieces of data were obtained. When the descriptors were 52, RF modeling accuracy and Kappa were the highest, 0.712 and 0.436 respectively. Compound clusters were divided into 3 types according to optimum molecule descriptors (52). The accuracy and Kappa of the optimum model for the first type of compounds were 0.666 and 0.476 respectively; the accuracy and Kappa of the optimum model for the second type of compounds were 0.804 and 0.381 respectively; the accuracy and Kappa of the optimum model for the third type of compounds were 0.709 and 0.373 respectively. It was predicted that 60 kinds of Chinese materia medica containing 0 violent toxic compound, 2 high toxic compounds, 172 medium toxic compounds and 1518 low toxic compound.Conclusion QSAR model for prediction study on acute toxicity of chemical components of Chinese mareria medica can provide references combination medication and experimental studies.

Three weeks’ training, visiting and demonstrating classes in Michigan State University gave us an opportunity to understand the education system, the teaching characteristics and the “students centered”teaching principle of USA. Some reasonable teaching methods were applied in the class which may embody the student-oriented teaching aim and develop the students’ subjective initiative. The teaching effect showed that most students were fond of the teaching strategies and they also did good job in final tests.

Objective To study the correlation between laryngopharyngeal reflux (LPR) and secretory otitis media (SOM).Methods A total of 294 adult patients with reflux-related symptoms were recruited in this study.The patients were evaluated with reflux symptom index (RSI) and reflux finding score (RFS).Tympanometry was conducted to all the patients.The 54 patients with the otitis media effusion with type B tympanograms were tested by auripuncture.Results Among the 294 patients,168 cases showed RSI＜13,in which 128 cases,31 cases and 9 cases had type A,type C,and type B tympanograms,respectively.The other 126 patients showed RSI＞13 in which 52 cases,29 cases and 45 cases had type A,type C,and type B tympanograms,respectively.Among the 294 patiems,172 patients showed RFS＜7,in which 131,32 and 9 cases had type A,type C,and type B tympanograms,respectively.The left 122 patients showed RFS＞7,in which 49,28 and 45 cases had type A,type C,and type B tympanograms,respectively.The ratio of type B tympanograms in the patients with RSI＞13 and RFS＞7 were both significantly higher than those in the patients with RSI＜13 and RFS＜7 (P＜0.05).The RSI scores of patients with type A,C,and B tympanogram were 8.6± 3.8,15.9±7.5,and 23.9±8.6,respectively,and the RFS score were 5.6±2.6,9.6±4.7,and 15.3±6.6,respectively.Compared with type A and C,the patients with type B tympanogram had significantly higher RSI and RFS score (P＜ 0.05).Among the 54 patients of type B tympanograms,those with RSI＜13 were found to have serous fluid,grume fluid,glue fluid as in 6 cases,2 cases,and 1 case,while the patient of the RSI＞ 13 had serous fluid,grume fluid,glue fluid in 13 cases,23 cases,and 9 cases,respectively.The otitis media effusion of the patients with the RSI＜13 were mainly serous,while those with the RSI＞13 were mainly sticky.Conclusion The correlation between LPR and SOM was significant.LPRmay accelerate the progress of SOM.

Objective:To investigate the value of peripheral blood eosinophils (EOS) in predicting the therapeutic effect of sublingual specific immunotherapy (SLIT) in patients with allergic rhinitis (AR).Methods:From January 2018 to June 2020, 200 patients with AR who received SLIT in Dongguan Kanghua Hospital were evaluated for their symptoms before treatment and 6 months after treatment. The curative effect was evaluated according to the improvement of the total symptom score. The number of eosinophils, percentage of eosinophils in peripheral blood were measured before treatment. The correlation between curative effect and EOS count and EOS percentage was analyzed and the value of these two indicators in predicting the efficacy of SLIT was evaluated.Results:Of the 200 AR patients, 178 patients were confirmed to have completed the treatment course of 6months. 126 effective and 52 ineffective, the effective rates were 70.8%. There was a weak correlation between the number of EOS in peripheral blood and the percentage of EOS in peripheral blood before treatment and the efficacy of SLIT ( r=0.168, P=0.048; r=0.250, P=0.001). The area under the curve of peripheral blood EOS count was 0.380, and the percentage of peripheral blood EOS was 0.355, which were all less than 0.5. Conclusions:There was no significant correlation between the number of peripheral blood EOS count and peripheral blood EOS percentage and the efficacy of SLIT , therefore, both of blood EOS count and blood EOS percentage have no value in predicting the efficacy of SLIT.

To enhance the learning stickiness, improve low completion rate of online teaching, and promote teaching quality has become the key to solve the contradiction in online teaching. In this paper, taking the teaching of biochemistry as example, based on the trigger mechanism, maintenance mechanism and migration mechanism of sticky learning, guided by the three-dimensional goal of "knowledge and skills, process and method, emotional attitude and values", the BOPPPS (bridge-in, objective, pre-assessment, participatory-learning, post-assessment, summary) teaching model was combined with online teaching. According to the interactive behavior in the course learning space, the Spearman rank correlation analysis was performed by SPSS 18.0 software to comprehensively evaluate the learning stickiness degree. The research has found that, due to its "micro but refined, compact structure and student-centered" characteristics, BOPPPS combining with online teaching can effectively make up for the time and space limitations of offline teaching and the excessively broad online teaching, bring benefits from the perspectives of "inclusion, attraction and production", promote students' active learning, and practically improve learning stickiness. The research provides a new idea for creating online "golden" courses.

The "student-centered" concept highlights the dominant position of students in the teaching process and makes up for the deficiency of traditional teaching mode.Based on the above idea,the teaching team of the author's department tried to improve teaching effect through effective teaching design in biochemistry.Firstly,the teaching goal (the goal of knowledge,ability and emotion) and the important situational factors the learning situation analysis,the characteristics of the course and the class,etc)should be identified.suitable teaching strategies he inspiration strategy,exploration strategy and problem solution strategy,etc.),teaching method (discussion,case study,problem based learning,etc.) and proper assessment (such as the summative assessment with formative evaluation) should be determined to organize classroom teaching.At the end of the class the timely feedback and the teaching reflection should be carried outto extend classroom teaching to extra-curricular class.The results showed that effective teaching designismore likely to stimulate students' learning enthusiasm,promote students' deep learning and achieve better teaching effects.

Objective:To solve international students' problems of learning difficulties and passive learning caused by language barriers in the process of biochemistry learning from the perspective of teachers in this specialty.Methods:Eighty international students were randomly divided into experimental group and control group. In the experimental group, the regional management mode was introduced in teaching, allowing students to speak mother tongues or English for group discussions on well-designed questions, and at the same time, classroom quizzes and stage tests were given, introducing formative evaluation to supervise students' learning and assess their learning performance. The control group received conventional teaching. The learning effects were assessed through a final exam and questionnaire survey. SPSS 25.0 was used to perform the Kruskal-Wallis H test and Nemenyi test. Results:Twenty-seven (75.00%) students believed that group discussion by region could deepen the discussion of questions; 27 (75.00%) no longer felt difficult, or even felt easy, to learn biochemistry; and nearly 90.00% of the students affirmed the formative evaluation mode, believing that it had positive effects on their learning attitude and behavior. In addition, the median exam score of the experimental group was 36.94% higher than that of the control class in the same year.Conclusions:Regional management combined with formative evaluation can promote international students' learning enthusiasm, improve their comprehensive achievement, and positively affect their learning behavior.

Objective:To compare the knowledge of endoscopic screening of gastrointestinal cancers between digestive healthcare workers and new chatbots (chatGPT and new Bing).Methods:A test with twenty-three questions of endoscopic screening of gastrointestinal cancers was conducted, focusing on the appropriate age of screening, high-risk factors, the follow-up time, and the advantages and risks of digestive endoscopy. Digestive healthcare workers were invited to complete the test through electronic questionnaires. New Bing and chatGPT were used to answer each question for 10 rounds. The primary endpoint was the correct rate of all answers. The answer accuracy between digestive healthcare workers and new chatbots were compared using variance analysis, and the factors that affected the accuracy of the answers in digestive healthcare workers were explored using univariate and multivariable liner regression analysis.Results:The results of the test completed by 76 digestive healthcare workers (21 residents, 28 digestive nurses, and 27 digestive doctors) were analyzed. The accuracies were 36.4%±10.9%, 34.5%±10.2%, 52.2%± 12.6%, 46.3%±9.8% and 67.1%±9.3% in residents, digestive nurses, digestive doctors, chatGPT, and new Bing, respectively, with significant difference ( F=22.6, P<0.001). The accuracy was highest in new Bing ( P<0.001). The accuracy was comparable between chatGPT and digestive doctors (LSD- t=-1.398, P=0.166), and both higher than that of digestive nurses (LSD- t=2.956, P=0.004; LSD- t=5.955, P<0.001) and residents (LSD- t=2.402, P=0.018; LSD- t=4.951, P<0.001). Furthermore, the accuracy was comparable between digestive nurses and residents (LSD- t=-0.574, P=0.567). Compared with new Bing, digestive doctors had lower accuracy in answering questions related to adverse events of screening, follow-up recommendation of intestinal metaplasia, high risk factors and screening methods for colon cancer ( P<0.05), but higher accuracy in answering questions related to endoscopic adverse events and screening methods for esophageal cancer ( P<0.05). Multivariable liner regression analysis showed that being digestive doctors ( β=11.7, t=3.054, P=0.003) and questionnaire response time (≥7.6 min) ( β=7.8, t=2.894, P=0.005) were independent factors for the answer accuracy of digestive healthcare workers. Conclusion:Compared with digestive healthcare workers, New chatbots—new Bing has higher accuracy in answering gastrointestinal cancer screening-related questions, but performs poorly in answering questions such as adverse events of endoscopy and screening methods for esophageal cancer.