[Objective] To establish a method for rapid identification of Fructus Citri Sarcodactylis (FCS) from different production areas. [Methods] Fourier transform infrared (FTIR) spectroscopy was adopted to identify FCS. The height and position of the characteristic absorption peaks, and I value (a quantitative parameter of peak height ratio) were compared in FCS from different production areas. [Results] Each kind of FCS had their fixed range in peak height ratio I: 0.7-0.9 in FCS from Guangdong, 1.3-1.6 in FCS from Sichuan, 0.9-1.1 in FCS from Zhejiang, indicating that I value can be used to identify FCS from different areas . [Conclusion] For the identification of FCS from different production areas, FTIR spectroscopy is an effective method, in which there is no need for isolation, purification and chemical treatment.

Objective To study the chemical constituents ofPronephrium triphyllum.Methods The chemical constituents in the plant were isolated and purified with silica gel and Sephadex LH-20.Their structures were identified by analyses of spectral data and physicochemical properties.Results Six compounds were isolated and identified as shelincaoide A(1),n-butyl-13-D-fructopyranoside(2),triphyllin A(3),6,7-di-hydroxycoumarin(4),daucosterol(5),and 13-sitosterol(6),respectively.Conclusion Compound 1 is found to be a new compound.Compounds 2 and 4 are firstly isolated from the plants in Pronephrium Presl.and all compotmds except 3 are obtained from the species for the first time.

Objective To develop a HPLC method for the determination of oridonin in the leaves and stems of Rabdosia nervosa.Methods All of reference substances and samples were separated with the mobile phase of methanol:water (45 ∶55) under isocratic elution for 20 min on a Kromasil C18 reversed-phase column(250 mm?4.0 mm,5 ?m),the flow rate was 1.0 mL?min-1,the detection wavelength was 235 nm,and the column temperature was 30 ℃.Results The content of oridonin was 0.047 mg/g in stems and 0.791 mg/g in leaves,the content in stems being about one seventeenth of that in leaves.The average recovery of oridonin was 98.33 %.Conclusion This method is simple,sensitive,accurate and suitable for quantitative determination of oridonin in Rabdosia nervosa.

Objective To establish the HPLC fingerprints(HPLC-FPS)of Fructus Citri Sarcodactylis(FCS)from Guangdong for reflecting the internal chemical information,evaluating its internal quality of FCS and identifying them from different cultural areas.Methods The HPLC-FPS of 12 FCS samples were obtained.The HPLC separation was performed on a Kromasil C18 analytical column by gradient eluting with acetonitrile-0.5% acetic acid at the flow rate of 1.0 mL/min.The column temperature was 30 ℃,the UV detection wavelength was 290 nm,and the collection time was 75 min.Results The mutual mode of HPLC fingerprints was set up and the similar degrees to the crude drugs from different cultural areas were compared.Conclusion The method is stable,reliable,and with full information which can be used as a quality control item for FCS from Guangdong.

Objective: To study the pharmacology of Zhiloushu Pills (Radix et Rhizoma Rhei, Stiff silk worm and Flos Sophorae). WTHZ]MethodsMethods: Zhiloushu Pills, clysterred into animals. Results: Zhiloushu Pills can decrease the inflammatory caused by CMC. Conclusion: Zhiloushu Pills are helpful to heal the rabbits local infection caused by staphylococcus aureus. They can also shorten the blood coagulation time and have the function of invigorating the circulation of blood and removing the stasis of blood against stasis animals.

Rational drug use and patient medication safety have always been key to pharmaceutical management.The authors introduced the practice of informationization management of rational drug use in the medical alliance of Luohu Hospital Group.The main measures refer to building an informationization platform for drug purchasing and supply management, dispensing management, medication intervention and medication guidance.This practice can realize closed-loop drug management, achieving full-range supervision and traceability for drugs and higher patient drug use safety.

Objective To explore the feasibility of the deep convolutional neural network (DCNN) judging the indications and prognosis of the total knee arthroplasty based on the trained DCNN computer learning system.Methods C1FAR-10 DCNN model based on TensorFlow (an open source system,Google,USA) optimized by Alex Krizhevsky were constructed.There were 400 cases with knee osteoarthritis from different databases used for analysis.Three hundred patients underwent total knee arthroplasty,while 100 did not.X-ray of 200 preoperative cases from the 400 cases and their enlarged image (50 times) were applied for training DCNN,while the enlarged images from other 200 cases were used to test the DCNN.The correlation and the regression between judgment of the DCNN and clinical truth were analyzed.The clinical truths were rechecked three times and were confirmed by treatment results.Pearson correlation and linear regression analysis were used.The relation test of the software was only used as a reference.Results There was no significant difference between the baseline of cases for learning and test.After learning 200 cases,the DCNN judged the 10 000 cases enlarged from remaining 200 cases.The correlation between the DCNN judgment and the clinical truth was not significant (r=0.000,F=0.001,P=0.970).False positive was observed in 1 681 cases,false negative in 3 296.After enlarged to 10 000 images,the correlation between the two judgments was significant (F=11 228.735,P=0.000,r=0.727 and R2=0.529).The software detection precision was 0.860.Conclusion DCNN can be applied in judging the indications of the total knee arthroplasty.Large sample size can improve the accuracy of the judgment significantly.