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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.

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Aortic dissection is a common disease which is very dangerous,with high mortality rate.Bypass graft for the treatment of DeBakey Ⅲ dissection has outstanding advantages than the ordinary replacement of thoracic aorta,and some patients will inevitably require the use of the procedure.The purpose of this study was to explore the impact of the subclavian artery-abdominal aorta bypass graft on hemodynamic parameters in the false lumen and the effectiveness of surgical treatment.First of all,the idealized three-dimensional geometric models of DeBakey Ⅲ aortic dissection and its subclavian artery-abdominal aorta bypass graft operation were constructed,respectively.Then the models were imported into ANSYS 11.0 for finite element analysis.Results of numerical simulation showed that both velocity and pressure of the blood flow were reduced after bypass graft at the entrance and in the internal sac of false lumen,which is very favorable for reducing the impact of blood flow on false lumen,slowing down the further expansion of entrance,preventing the breakdown of false lumen,and promoting the healing of dissection.Therefore,the subclavian artery-abdominal aorta bypass graft operation is an effective surgical method for the treatment of DeBakey Ⅲ aortic dissection in some particular cases.This operation is with great prospects for clinical application.

In China medical university 8 weeks early exposing to scientific research have been arranged for the students on seven-year program of clinical medicine. The purpose is to let the students understand scientific research procedures based on the tutor's research project. The students gain great achievements. The result of questionnaire shows that the attitudes of the students are positive and 81% of them are satisfied in general. The paper also summarizes the experiences of the practice.

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.