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.

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.

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.

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.

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.

Objective To study the risk factors of Pseudomonas aeruginosa (PA)infection and homology of PA isolated from nasopharyngeal carcinoma patients undergoing radiotherapy,and prevent and control the spread of in-fection.Methods Bacteria isolated from clinical specimens were identified by BD Phoenix automated microbiology system. Gene homology were analyzed with randomly amplified polymorphic DNA (RAPD)technique.Results Forty-nine strains of PA were mainly isolated from 43 nasopharyngeal carcinoma patients,the major specimens were nasopharyngeal swab (46.94% ),sputum(32.65% ),and oral secretion (10.20% ).All these strains were amplified 46 electrophore-sis diagrams,and 19 genotypes were identified. The highly homologous genotypes of type H and J strains were mainly isolated from patients in the second section (57.14% ,4/7)and fourth section (60.00% ,3/5)of radiotherapy department respectively. Conclusion Localized epidemic of highly homologous PA exists in different sections of ward,transfer of patients between different sections is the risk factor for homology PA infection/colonization. Gen-otyping technique such as RAPD for analyzing the homology of pathogenic bacteria in healthcare-associated infection has important value in preventing and control Ling infection spread.

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.

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.

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.

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.