Study on anti-hyperlipidemia mechanism of high frequency herb pairs by molecular docking method / 中国中药杂志

Traditional Chinese medicine (TCM) has definitely clinical effect in treating hyperlipidemia, but the action mechanism still need to be explored. Based on consulting Chinese Pharmacopoeia (2010), all the lipid-lowering Chinese patent medicines were analyzed by associated rules data mining method to explore high frequency herb pairs. The top three couplet medicines with high support degree were Puerariae Lobatae Radix-Crataegi Fructus, Salviae Miltiorrhizae Radix et Rhizoma-Crataegi Fructus, and Polygoni Multiflori Radix-Crataegi Fructus. The 20 main ingredients were selected from the herb pairs and docked with 3 key hyperlipidemia targets, namely 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA reductase), peroxisome proliferator activated receptor-α (PPAR-α ) and niemann-pick C1 like 1 (NPC1L1) to further discuss the molecular mechanism of the high frequency herb pairs, by using the docking program, LibDock. To construct evaluation rules for the ingredients of herb pairs, the root-mean-square deviation (RMSD) value between computed and initial complexes was first calculated to validate the fitness of LibDock models. Then, the key residues were also confirmed by analyzing the interactions of those 3 proteins and corresponding marketed drugs. The docking results showed that hyperin, puerarin, salvianolic acid A and polydatin can interact with two targets, and the other five compounds may be potent for at least one of the three targets. In this study, the multi-target effect of high frequency herb pairs for lipid-lowering was discussed on the molecular level, which can help further researching new multi-target anti-hyperlipidemia drug.

Construction of automatic elucidation platform for mechanism of traditional Chinese medicine / 中国中药杂志

Aim at the two problems in the field of traditional Chinese medicine (TCM) mechanism elucidation, one is the lack of detailed biological processes information, next is the low efficient in constructing network models, we constructed an auxiliary elucidation system for the TCM mechanism and realize the automatic establishment of biological network model. This study used the Entity Grammar Systems (EGS) as the theoretical framework, integrated the data of formulae, herbs, chemical components, targets of component, biological reactions, signaling pathways and disease related proteins, established the formal models, wrote the reasoning engine, constructed the auxiliary elucidation system for the TCM mechanism elucidation. The platform provides an automatic modeling method for biological network model of TCM mechanism. It would be benefit to perform the in-depth research on TCM theory of natures and combination and provides the scientific references for R&D of TCM.

Quality and quantity classification models of Fructus Amomi applying electronic nose with multiple mathematical statistics methods / 国际药学研究杂志

Objective Fructus Amomi(Sharen) is derived from the dry ripe fruit of Amomum villosum Lour., A.villosum Lour. var. xanthioides T.L. Wu et Senjen and A.longiligulate T.L.Wu, which is widely utilized for its clinic effects on digestive system. However, Fructus Amomi from different species and habitats, possessing different quality, is difficult to identify. In this study, we aim to develop a simple, rapid and reliable method for authentication of Fructus Amomi. Methods Twenty-five batches of samples of Fructus Amomi were collected and electronic nose was introduced into analyzing their odor with multiple mathematical statistics methods. Na?ve bayes network (NBN), radical basis function (RBF) and random forest (RF) were applied to establish different classifiers while BestFirst+CfsSubsetEval (BC) was used to screen the attributes for searching sensor array with higher contributions. Results Firstly, after attribute-screening via BC, the established discriminative models via NBN, RBF and RF could successfully identify genuine and non-genuine samples, presenting correct judging ratios of 78% and 84% through ten-fold cross validation and external test set validation, respectively. Besides, quantity predictive models were constructed as well. In case of content of bornyl acetate, one of the effective components in Fructus Amomi, values were higher than 3.5 mg/g and lower than 1.8 mg/g with sensor response of 0.04 and 0.03, respectively. Conclusion In this paper, quality discriminative model and quantity predictive model of Fructus Amomi were established via electronic nose and multiple mathematical statistics methods. It indicates that electronic nose could be a promising method for quality evaluation of Chinese material medica.

SIMPP analysis on learning interest of students / 中华医学教育探索杂志

Interest in learning can not only stimulate students' enthusiasm for learning, but also directly affect the quality of higher education. In this paper, the questionnaire of the related factors of college students' interest was designed to carry out micro-system engineering research. The factors as-sociated with college students' interest in learning and their complex relationships were investigated by using methods of systems science and systems engineering. The results shows that the students who can actively participate in after-school learning discussions , feel good in lectures and have clear learning objectives, are interested in learning. And at the same time, the teacher's influence and his active guidance in classroom teaching will raise students' interest in learning. This study provides a more comprehensive basis and clues to improve students' interest in learning and education reform.

SIMPP analysis on teacher's impact on students / 中华医学教育探索杂志

The influence extent of students from teachers is related to the teaching effect , which means whether it can successfully promote the study of students and reach the expected teach-ing goal during the teaching process. To have a good teaching effect, guided by the micro-system en-gineering of teaching reform, we used SIMPP to analyze the related factors of the influence of students extent from teachers during the teaching process in TCM colleges and universities. The result shows that the influence extent from teachers is related to not only teachers themselves but students and their self-condition and family backgrounds as well. Going further in researching these factors and the related behavior patterns of influence extent of students from teachers is helpful to making the teach-ing more effective and more targeted.

SIMPP analysis on learning purpose of students / 中华医学教育探索杂志

The clear learning objective is one of the important factors to determine the learning effect of college students. In order to analyze the factors affecting the formation process of college stu-dents' learning objectives, to explore the teaching mode that can be helpful for college students' clear learning objective, under the guidance of the concept of the reform of the teaching system, the SIMPP analysis of the students learning objective in the TCM colleges was carried out. Results showed that the related factors that affected student learning objectives included family factors, school principals and students' subjective factors. Teachers' observing students' learning status carefully, their understanding students' background, income and other social factors, mastering the degree of students' learning spe-cific goals and behavior model, and conducting the targeted and effective inventiveness are to help students clear learning objectives. The results provide the technology and method of operation for col-lege teachers to correctly guide different types of students to establish a clear learning objective.

SIMPP analysis on learning diligence level of students / 中华医学教育探索杂志

Academic diligence level can not only directly affect the academic performance of students, but also affect the individual's emotional and physical health. In this study, through a question-naire survey of university students, with the method of SIMPP and the concept of the micro system engi-neering in higher education teaching reform, the related factors of diligence and the college students' behavior mode with respect to diligence are systematically analyzed. Analysis shows that, students' diligence level is affected not only by inherent factors such as clear learning objectives, learning state and after-school learning time, but also by the school ethos, the influence factors of the curriculum and parents' re-quirements.

SIMPP analysis on self-recognized learning effectiveness of students / 中华医学教育探索杂志

College students' self cognition of the learning effectiveness influences their learning behavior greatly. Focusing on college students' self cognition of their learning effectiveness, and then standardizing their learning behavior is one of the important work of educators in colleges. Therefore this paper has designed the questionnaire of the influencing factors of learning effectiveness self cog-nition, used SIMPP analysis method to analyze it, and set up the relation model. The analysis shows that college students' self cognition of learning effectiveness is influenced not only by students' dili-gence level and the recognition degree of specialized subject, but also by the factors such as the attitude when you get the bad results. The result provides data basis and scientific basis for future practice and relevant research for educators in colleges.

SIMPP analysis on self-study ability of students / 中华医学教育探索杂志

According to the theory of microscopic system reform in higher education, a total of 927 college students of different majors from Beijing University of Chinese Medicine were investigated by using SIMPP method. It indicated that through promoting the study of self-prepared, learning state and learning effect, students can enhance their learning ability of the admission acceptance. From the perspective of teachers, the students' self-study ability can be fully mobilized using individual person-alized teaching method. Then, the initiative of university education in the teaching and learning can be improved. Ultimately, the efficiency of student learning can be improved.

SIMPP analysis on class attendance of students / 中华医学教育探索杂志

In recent years, lower and lower class attendance has plagued the quality of uni-versity teaching. To solve this problem, this study conducted a questionnaire survey in accordance with the concepts of the Education Reform microscopic systems engineering and the method of SIMPP. The results showed that factors affecting student classroom attendance included two aspects: the sub-jective and objective factors. Indicators related to the subjective factors were: the personal attitude when faced with failure exams, the personal learning interest and personal grasp of the main source of knowledge. Indicators related to the objective factors were: school and teachers. Also, this study gave some suggestions on how to improve students' classroom attendance to provide data basis and refer-ence for further study on class attendance.

SIMPP analysis on curriculum satisfaction of students / 中华医学教育探索杂志

The degree of satisfaction of the curriculum is related not only to the degree of the curriculum but also to the degree of the students' development. With the concept of teaching reform micro system engineering, using the SIMPP analysis of the degree of satisfaction of the curriculum, the relevant factors of the students are studied. The results show that, the learning state, learning objec-tives, and the education level of mother affect the students more easily on the curriculum satisfaction. Research shows, in the present curriculum condition, educators should guide the students to study hard, establish a clear and reasonable learning goal, give the students the introduction and analysis of the curriculum, can effectively improve the students on the curriculum satisfaction, enhance the enthusiasm of the study.

SIMPP analysis on major satisfaction of students / 中华医学教育探索杂志

The major satisfaction of college students will influence their learning interest and motivation, and then influence their learning achievement and future employment. Under the guidance of the concept of the micro system engineering of the education reform, the degree of the major satis-faction of the students in TCM colleges is analyzed by SIMPP method. The results show that students' behavior mode such as their preview situation, teaching adaptation, course satisfaction, students' achievement and their attitude of poor academic performance is closely related to the degree of major satisfaction. Teachers can judge the degree of major satisfaction by following these pattern behaviors;improve the rationality and accuracy of the degree of major satisfaction.

Study on prescription combination and design method based on dichotomy and greedy algorithm / 中国中药杂志

The prescription combinations of traditional Chinese medicine (TCM) focuses on the taste and channel tropism, the Qi movement, as well as the compatibility according to multiple combination principles and medicinal property and flavor combination of several traditional Chinese medicines. With the in-depth study on the prescription compatibility, researchers have realized that the medicinal property theory is the core of TCM combinations. However, there is no definite method for combinations based on medicinal properties. In this paper, the authors put forward an method for designing prescription combinations based on bipartite graph and the greedy algorithm. With the medicinal property combinations of Siweilurong Pills for example, the authors proved this method could provide ideas for quickly choosing herbal medicines for prescription combinations, and discussed the prospect of this method in substituting previous and endangered herbal medicines and banned medicinal materials.

Formula method of medicated diet based on medicinal property combination patterns / 中国中药杂志

To propose a formula method of medicated diet based on medicinal property combination patterns in this paper under the context of lack of innovation in medicated diets. By analyzing the property combination patterns of traditional Chinese medicine and commonly used foods recorded in the pharmacopoeia, medicated diet formulae were optimized by using the greedy algorithm, with the property combination patterns of classical formulae based on the syndrome differentiation and treatment. In this paper, the Baihu Rensheng decoction, which is a classical formula for treating lung and stomach heat-derived diabetes, was taken for example in the formula design. As a result, totally 18 medicated diet formulae were developed and proved to be rational in the analysis on traditional Chinese medicines and nutriology. This method expands the way of thinking for personalized diet therapies and provides theoretical basis the industrial development and clinical application of medicated diets.

Extraction of Texture Feature Parameter of Transverse Section in Chinese Herbal Medicine by Gray-Level Co-occurrence Matrix / 世界科学技术-中医药现代化

Digitalization is an important method for the objectification and quantification of quality control on Chi-nese herbal medicine. To solve the problem of texture online visualization of Chinese herbal medicine and the estab-lishment of automatic identification method based on the texture, 12 Chinese herbal medicines were selected to cap-ture the images of their transverse sections. A total of 11 features were extracted from images using Gray-level Co-occurrence Matrix (GLCM) method. Through analyzing the influence of distances and angles between pixels on identi-fication results, it was concluded that when the distance was d = 3 and the angle was ? = 0o, the features extracted were suitable for expressing the texture of the transverse sections. The results indicated the feasibility of establishing the automatic identification method on Chinese herbal medicine based on image of transverse section. It will provide new technologies for the objectification and quantification of identification on Chinese herbal medicine.

Impact of Rotation Sampling on Parameters of Texture Feature in Chinese Herbal Medicine Images / 世界科学技术-中医药现代化

This study was aimed to investigate the impact of rotation sampling on feature parameters of texture im-ages of Chinese herbal medicine. Four Chinese herb medicine with various shape and texture feature were taken as research materials. Images of complete and incomplete herbal medicine were collected respectively after different ro-tation angles. The 26 parameters were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The impact of rotation sampling on feature parameters was investigated through analysis of variation tendency and range of 26 parameters. The results showed that if the Chinese herbal medicine was complete, the 26 parameters were not impacted by the rotation angle, whereas the 26 parameters were impacted by the rotation angle and the im-pact will be more obvious when the shape of Chinese herb medicine was irregular. It was concluded that in order to get a high quality of images and construct a well identification model based on the parameter of texture features, we must consider the impact of rotation angle on the parameters to Chinese herbal medicine with various shapes and tex-ture features.

Research on Parameters of Texture Feature of Transverse Section in Incomplete Chinese Herbal Medicine / 世界科学技术-中医药现代化

This study was aimed to explore the impact of integrality of Chinese herbal medicine on parameters of tex-ture feature in transverse section images. Three Chinese herbal medicine of Semen Arecae, Radix et Rhizoma Rhei and Radix A tractylodis Macrocephalae with different texture features were taken as research materials. Parts of Chi-nese herbal medicine were cut off from the whole by equal proportions. The 26 parameters were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The similarities and differences of 26 parameters of texture feature in the parts and whole, rectangular and fan-shaped Chinese herbal medicine were compared. The results showed that parameters of Semen A recae and Radix et Rhizoma Rhei with radial or annular texture had better con-sistency in whole and fan-shaped parts. Parameters of Radix A tractylodis Macrocephalae with irregular texture fea-ture were approximately the same in the whole and rectangular parts. It was concluded that whether parameters of texture features in parts Chinese herbal medicine can present the whole were related to its texture feature and the shape of the parts. This study provided the basis for collection of Chinese herbal medicine when sampling images. It also laid a foundation for the extraction of accurate parameter of texture feature.

Comparative Studies on Parameters of Texture Feature of Transverse Section in Different Chinese Herbal Medicine / 世界科学技术-中医药现代化

This study was aimed to compare the difference of parameters of texture feature in the transverse section images of the same and different Chinese herbal medicine. A total of 26 parameters of herbal medicines were ex-tracted by gray-level co-occurrence matrix and grayscale gradient matrix. The graph of mutative curve was drawn. And differences of 26 parameters of texture feature in the same and different Chinese herbal medicine were com-pared. The results showed that parameters of texture feature extracted by gray-level co-occurrence matrix and grayscale gradient matrix had similarities and differences in the same and different Chinese herbal medicine. It was concluded that the method can show the texture feature scientifically and quantitatively. It also laid a foundation for the establishment of an automatic identification model, but the parameters still had instability. All these remind us to find some parameters which can show the details of texture feature preferably, thus perfect the extracted method of texture features in Chinese herbal medicine.

Research on Identification Model of Chinese Herbal Medicine by Texture Feature Parameter of Transverse Section Image / 世界科学技术-中医药现代化

This study was aimed to establish the classification method of Chinese herbal medicine based on feature parameters extracted from images of herbal transverse section, in order to explore the feasibility of automatic identi-fication method of herbal medicine. The extracted 26 parameters of 18 herbal medicine images by gray-level co-oc-currence matrix and grayscale gradient matrix were used as the basic data set. And the minimum covariance determi-nant (MCD) was used to delete the outliers. A total of 18 identification models were established using the native Bayes method and BP neural network methods. The results showed that the average correct rates of models were 90%. It was concluded the feasibility of using these models in the establishment of the automatic identification method of herbal medicines. It provided new technologies for the quantitative, scientific and objective identification of Chinese herbal medicine.

Optimization method of MOS sensor array for identification of traditional Chinese medicine based on electronic nose / 中国中药杂志

Optimization of sensor array is a significant topic in the application of electronic nose (EN). Stepwise discriminant analysis and cluster analysis combining with screening of typical index were employed to optimize the original array in the classification of 100 samples from 10 kinds of traditional Chinese medicine based on alpha-FOX3000 EN. And the identification ability was evaluated by three algorithm including principle component analysis, Fisher discriminant analysis and random forest. The results showed that the identification ability of EN was improved since not only the effective information was maintained but also the redundant one was eliminated by the optimized array. The optimized method was eventually established, it was accurate and efficient. And the optimized array was built up, that is, S1, S2, S5, S6, S8, S12.