Chinese herbal nature combination (CHNC) is the particular combination of nature, taste and channel tropism, which can be used to express the effect of Chinese herbal medicine in the clinical application concisely. The complex system model for the relationship between CHNC and viscera was constructed in this paper based on the thinking model of viscera theory. The model is able to reveal the functional features of CHNC. The model will promote research on the relationship between CHNC and viscera and provide new ideas for clinical applications of CHNC.

The eighteen incompatible medicaments is the incompatibilities in traditional Chinese medicine (TCM). However, in some special occasion, the incompatible medicaments can also be used in one prescription in the clinical applications. In order to reveal the theoretical basis for applications of incompatible medicaments in prescriptions, we analyzed ancient prescriptions and found that there are contrary Chinese herbal nature combina-tions (CHNCs) which have the same meridian tropism as well as the opposite nature and taste in prescriptions. In clinical applications, one of the non-contrary CHNCs was selected as the main response to syndrome differentia-tion. The contrary CHNCs in the same meridian tropism were used to restrict each other and therefore have the protective effects. The features found in this paper will be beneficial to further research on the rational applica-tion of incompatible medicaments.

This study was aimed to explain the relationship between chemical component and therapy objective and to identify effective component group (ECG). The objective of this study is to build a new method to identify the ECG. Traditional Chinese medicine (TCM) formula and one of its treated diseases were selected as the re-search object. The entity grammar systems (EGS) were used as the theoretical framework. A grammatical method for ECG identification was constructed. The component-disease relationship was inferred and the ECG was identi-fied with these inference results. In this paper, 16 compounds which act to 12 proteins in Type 1 diabetes melli-tus (T1D) disease network were identified from Bai-Hu Tang plus Xiao-Ke Fang and 9 chemical compounds were determined as the candidate effective components group. The results indicated that this method can be used to identify ECG and provide a new way to elucidate the molecular mechanism of TCM formula.

This study was aimed to establish Chinese medicine efficacy concept network in order to reveal the in-ner relation between traditional Chinese medicine (TCM) and efficacy as well as to suggest the application way of efficacy concept network. Through the collation of medicine efficacy recorded in the Pharmacopoeia of the People's Republic of China (2010 Edition, Volume I), the correlation relationship between TCM efficacy concept was systematically analyzed, and the efficacy concept network was constructed in order to extract specific effica-cy sub-network based on efficacy concept network and then to discover the efficacy groups by utilizing the net-work clustering algorithm. In the Chinese medicine efficacy concept network, 422 efficacy concepts were con-structed and 21 tightly efficacy groups were discovered. Using the efficacy of promoting blood circulation as an example, the application of sub-networks was discussed. Chinese medicine efficacy concept network can be used to reflect the basic theory and clinical experiences in Chinese medicine , to systematically reveal the relationship between TCM efficacy concepts, which can be beneficial to guide the reasonable application of Chinese medicine in disease treatment .

For solving the problem that common similarity algorithms are insensitive to the relative differences of different chromatographic fingerprints data, this paper improved the algorithms of improved extent similarity), which named new improved extent similarity. It was confirmed that new improved extent similarity could distinguish) the samples with the same total difference and different distribution of relative differences. by applying) the similarity algorithm to simulated data and the chromatographic fingerprints of nine batches Rukuaixiao tablets. New improved extent similarity could reflect the relative differences of peak areas more sensitively when the relative differences of common peak areas was less than 100%. The result indicates that new improved extent similarity can reflect the large deviation from the established proportion of components, which can be applied to the control of the fluctuation of the established proportion of effective components and the process quality control of Traditional Chinese Medicine .

Microbes that produce Docosahexaenoic Acid were isolated from seawater. 160 strains capable of producing lipids were screened out using Sudan Black B dying method from 280 seawater samples. From 60 strains of microorganisms producing bigger lipid particles, 7 strains of them capable of producing lipids more than 8% were obtained with Soxhlet abstracting method in the first screening. In the secondary screening from 10 strains with high lipids yield, strain 7-3 capable of producing 15.9% lipids was obtained, in which the content of DHA(Docosahexaenoic Acid)is 45.2%. Strain 7-3 was identified as Brettanomyces based on its morphological properties, cultural characteristics, physiological and biochemical properties.

Different teaching methods were chosen based on different teaching contents in pharmacological theory teaching.Then teaching contents seem simple,interesting and acceptable.The students were more interested in the subject.The results of investiga- tion showed that teaching quality had improved through using this technology.

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.