Objective To construct the competitiveness evaluation index system of listed TCM pharmaceutical companies and provide efficient technology and methods for the evaluation in related field.Methods Index base was founded by the means of the literature research method at first. Then 20 experts were asked to score all these indexes according to the importance of each index. Dimensionality and index base of competitiveness evaluation index system of listed TCM pharmaceutical companies were screened. With two rounds of questionnaires, the evaluation index system was constructed finally.Results The positive coefficients of two rounds of expert consultation were 95% and 100%;the cooperative coefficients were 0.659 and 0.639;the authoritative coefficient was 0.713 2. Evaluation system consisted of 5 first grade indexes and 26 second grade indexes.Conclusion The positive coefficients and the authoritative coefficients are both high enough through Delphi method. Opinions of all the experts in the two round of expert consultation tend to be uniform, which reveals that the evaluation index system of listed TCM pharmaceutical companies is relatively scientific.

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.

Objective To analyze the true‐positive results ( ≥ 95% ) S/CO value of Treponema pallidum specific antibody (anti‐TP) positive samples caused by 2 different chemiluminescence detection assay in comparison with Treponema Pallidum Particle As‐say (TPPA) .Methods We collected the Treponema pallidum specific antibody positive samples of outpatient and hospitalization from October 2014 to January 2016 in Peking union medical college hospital as the research objects .There were 145 positive cases of Abbott laboratories (S/CO value of 1 .02 to 39 .29) ,24 positive cases of Roche (S/CO value of 1 .4 to 33 .07) .The 169 cases of Treponema pallidum specific antibody positive samples were detected with two methods of chemiluminescence detection at the same time ,TPPA was performed as repetition and confirmed test .Gathering and sorting the statistics of the positive predictive value seg‐mented ordered by specimen S/CO value ,to determine 95% or higher S/CO value of true positive results .Results After retested and confirmed by TPPA of the 169 positive cases ,the Abbott positive coincidence rate was 78 .7% ,the Roche positive coincidence rate was 81 .3% .When the S/CO value of Abbott ≥ 8 and the S/CO value of Roche ≥ 14 ,the positive predictive value was 100% . Conclusion When the S/CO value of Abbott ≥ 8 and the S/CO value of Roche ≥ 14 ,the S/CO value can be used as the true posi‐tive results( ≥ 95% ) .Abbott laboratories results S/CO value ≥ 8 ,Roche test results S/CO value ≥ 13 ,it is a 95% or higher S/CO limit of true positive results .

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 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.

The application of cerebrovascular intervention brings the diagnosis and treatment of cerebrovascular disease into a brand-new domain. Many neurological physicians have become physicians of cerebrovascular intervention by training. In the big teaching hospitals carrying out cerebrovascular intervention, advanced physicians are the hard strength in the lot of cerebrovascular intervention. The training aiming at cerebrovascular intervention and comprehensive abilities affects both the training results and the therapeutic results of cerebrovascular intervention. Therefore, it is an important issue to explore how to consummate and standard the training methods of advanced physicians studying cerebrovascular intervention.

This study was aimed to construct the pharmacophore models of endothelins A receptor antagonist in the application of screening traditional Chinese medicine (TCM) database for novel ETA Receptor antagonists. Qualitative and quantitative hypotheses were generated by HipHop and HypoGen separately on the basis of 36 compounds with antagonistic action on Endothelins A Receptor expressed in the aortic smooth muscle cells of rats. Database searching method was used to evaluate the generated hypotheses. The optimum hypotheses were used to search TCM database. The results showed that optimum qualitative hypothesis is with six features, which were one aromatic ring, one hydrogen-bond acceptors, one negative ionizable group and three hydrophobic groups, and the CAI value of 103.94. The optimum quantitative hypothesis is with six features, which were one aromatic ring, one hydrogen-bond acceptor, one negative ionizable group, two hydrophobic groups and one exclusive volume, and the CAI value of 45.96. Sixteen compounds from TCM were found in the database searching with the quantitative hy-pothesis. It was concluded that the pharmacophores are reliable and can be used to screen database for novel E-TA inhibitors. The qualitative and quantitative hypothesis can be used to screen database for active compounds and to predict the activity respectively.

Objective:Adopting RP-HPLC method,to study and establish the fingerprint of smilacis rhizome.Methods: YMC-Pack ODS-A(5 ?m,4.6 mm?250 mm) chromatographic column,acetonitrile-0.05% phosphoric acid solution gradient elution were applied;with flow rate of 0.8 ml/min and UV detector at 290 nm.Results: Technology investigation indicated that the analytical method this study established has a better reproducibility.The similarity of smilacis rhizoma fingerprints from different sources is better;smilacis rhizome and its three confusions fingerprints are apparently different.Conclusion: HPLC fingerprint analysis can be a method for quality control of medical material of smilacis rhizoma.