The extracts of yew tree have showed unique anti-tumor and anti-leakematic activities. Taxol extracted from it is effective against a variety of cancers, such as ovarian cancer and breast cancer. However the hypoglycemic efficacy of the extract has not been reported yet, so the effects of oral administration of yew tree extracts on streptozotocin-induced diabetic rats were examined. Administration of shan tang ping(STP), a fraction from the column separation of extract (450mg/kg body weight), for 14 days reduced the serum glucose concentrations of fasted diabetic rats by 52.4%. In addition, it also decreased the concentrations of triglyceride (TG), total cholesterol (TC), and low density lipoprotein cholesterol (LDL-C). An oral glucose tolerance test (OGTT) was performed, a significant improvement in glucose tolerance was observed in rats treated with STP. These results suggest that STP has hypoglycemic properties and hypolipidemic action on streptozotocin-induced diabetic rats....
Low gas-saturation reservoirs are gas bearing intervals whose gas saturation is less than 47％.They are common in the Quaternary of the Sanhu area in the Qaidam Basin.Due to the complex genesis mechanisms and special geological characteristics,the logging curves of low gas-saturation reservoirs are characterized by ambiguity and diversity,namely without significant log response characteristics.Therefore,it is particularly difficult to identify the low gas-saturation reservoirs in the study area.In addition,the traditional methods such as using the relations among lithology,electrical property,physical property and gas bearing property,as well as their threshold values,can not effectively identify low gassaturation reservoirs.To solve this problem,we adopt the decision tree,support vector machine and rough set methods to establish a predictive model of low gas-saturation reservoirs,which is capable of classifying a mass of multi-dimensional and fuzzy data.According to the transparency of learning processes and the understandability of learning results,the predictive model was also revised by absorbing the actual reservoir characteristics.Practical applications indicate that the predictive model is effective in identifying low gas-saturation reservoirs in the study area....
Some techniques and methods for deriving water information from SPOT -4 (XI) image were investigatedand discussed in this paper. An algorithm of decision-tree (DT) classification which includes several classifiers based onthe spectral responding characteristics of water bodies and other objects, was developed and put forward to delineate wa-ter bodies. Another algorithm of decision-tree classification based on both spectral characteristics and auxiliary informa-tion of DEM and slope (DTDS) was also designed for water bodies extraction. In addition, supervised classificationmethod of maximum-likelyhood classification (MLC), and unsupervised method of interactive self-organizing dada analy-sis technique (ISODATA) were used to extract waterbodies for comparison purpose. An index was designed and used toassess the accuracy of different methods adopted in the research. Results have shown that water extraction accuracy wasvariable with respect to the various techniques applied. It was low using ISODATA, very high using DT algorithm andmuch higher using both DTDS and MLC....
