Objective To observe the influence of sowing time and planting density on seed germination percentage and growth of Desmodium styracifolium(Osb.) Merr..Methods After quality inspection of the seed,the seeds planting test for Desmodium styracifolium(Osb.) Merr.was carried out from March to October,and the influences of sowing time and planting density on the seed germination percentage and growth were observed.Results On the planting base of Pingyuan county in Guangdong province,the seeds of Desmodium styracifolium(Osb.) Merr.planted from March to October had a high germination percentage and the seedling grew well.With the increase of planting density,the seed germination percentage decreased,but was up to 80% when the planting density was 0.5～1.0 g /m2.Conclusion The optimum planting time for Desmodium styracifolium(Osb.) Merr.is in autumn and the optimum planting density is 0.5～1.0 g /m2.

[Objective] To analyze the volatile constituents of Desmodium styracifolium (Osbeck) Merr. . [Methods] Volatile constituents of Desmodium styracifolium (Osbeck) Merr. were extracted by steam distillation and identified by gas chromatography-mass spectrometry (GC-MS) . [ Results ] Twenty-one kinds of components were separated and identified. [Conclusion] The method is reliable, stable and repeatable and can be used for the analysis of volatile constituents of Desmodium styracifolium (Osbeck) Merr. .

Objective To study the different extraction condition on naringin content in Drynaria extract.Methods The Naringin content in Drynaria extract was determined by HPLC.The e ffect of extraction solutions,drying temperature(60℃,100℃and 120℃)and drying time (0,0.5,1.0,1.5,2.0,5.0,10.0,25.0,50.0hours respectively)on naringin content in Drynaria extract was investigated.Results The optimal extraction solution for Drynaria extract was water,and the loss of naringin enhan ced with the increase of drying temperature and the prolongation of dryin g time.Con-clusion The result can provide references fo r the extraction technology,preparation selection and quality control of the compound including Rhizoma Drynariae.

Objective To establish the HPLC determination method of chlorogenic acid for developing the quality standard of Yinqiao Jiedu Oral Liquid.Methods HPLC method was performed on an E.Merck LiChrospher 100RP-18 column(250 mm? 4 mm,5 ? m).The mobile phase consisted of acetonitrle and o.4 % phosphoric acid(10:100).The flow rate was 1.0 mL/min,column temperature was 30 ℃,and the detection wavelength was 327 nm.Results Chlorogenic acid was linear at the range of 0.12～ 0.63 ? g(r=0.999 6),the average recovery was 96.68 %,and RSD was 1.56 % .Conclusion This method is accurate,reliable,reproducible,and can provide evidence for the quality control of Yinqiao Jiedu Oral Liquid.

Objective To make a summary of the clinical application and cooperation of piezosurgery in jaw bone tumour operation. Methods 64 patients with jaw bone tumour were selected since 2007 and were divided into the piezosurgery group and the routine group, they used piezosurgery and routine osteotome respectively. Feelings during operation, operation time, hemorrhage, postoperative reaction and complication were observed and compared. Results Discomfort and hemorrhage during operation was lighter, but operation was longer in the piezosurgery group compared with the routine group. Complications such as postoperative infection, hemorrhage and nerve damage did not occurred. Conclusions Application of piezosurgery in jaw bone tumor operation can increase comfort degree and reduce hemorrhage, it requires proficiency in operation procedures and master key aspects of nursing, so that can cooperate well.

Medical education should combine clinical professional skills with humanities skills,integrate humanities knowledge into vocational education.Taking 2008 grade seven-year program clinical medicine students in the 2nd affiliated hospital of Harbin Medical University as fostering object,we made researches into students' understanding of doctor-patient relationship before practice and their mastering of skills.Through conducting questionnaire,we got to know the effect of humanities practice skill training for seven-year program clinical medicine students.Meanwhile,we compared students' self evaluation results before and after training,discussed on how to improve medical students' communication skills,cultural skills and the reform direction in an aim to guide students to transit from students to clinical doctor.

Objective To detect the change of exoression level of plasma microRNA‐21(miR‐21) and TGF‐β1 in cardiac remode‐lin affer acute myocardial infarction(AMI) of the pateins .Methods 200 pateints with AMI and 100 normal controls(age ,sex matched) were enrolled .Blood samples were obtained from the normal controls and patients with AMI on the 3 days ,7 days and 14 days .Real‐time PCR was developed to detect the expression of miR‐21 and TGF‐β1 in plasma .Results The expression of miR‐21 was significantly up‐regulation in the 3 days ,7 days and 14 days in MI group than that cntrol group ,0 .74 ± 0 .21 vs .2 .62 ± 0 .23 , vs .3 .67 ± 0 .25 ,vs .4 .13 ± 0 .27 up‐regulation in the 3 days ,7 days and 14 days in MI group than that cntrol group ,0 .98 ± 0 .18 vs .2 .35 ± 0 .24 ,vs .3 .67 ± 0 .25 ,vs .4 .13 ± 0 .27 ,P<0 .05 ,respectively .The expression of miR‐21 and TGF‐β1 were up‐regulation with the change of cardiac function .Positive relationship between miRNA‐21 expression and LVDd (r=0 .757 ,P<0 .05);Positive relationship between TGF‐β1 mRNA expression and LVDd(r=0 .701 ,P<0 .05) .Conclusion The expression of miR‐21 and TGF‐β1 were up‐regulation in cardiac remodelin affer AMI of the pateins ,which involved in regulation in cardiac remodelin affer AMI .

Objective To establish a predictive model for survival outcomes of glioma patients based on both brain radiomics features from preoperative MRI multi-sequence images and clinical features.Methods We retrospectively analyzed the MRI images and clinical data of 388 glioma patients and extracted the radiomics features from the peritumoral edema zone,tumor core,and whole tumor on T1,T2,and T1-weighted contrast-enhanced(T1CE)and fluid attenuated inversion recovery(FLAIR)sequences.The cases were divided into a training set(271 cases)and a test set(117 cases).Random survival forest algorithms were used to select the radiomics features associated with overall survival(OS)in the training set to construct a radiomic score(Rad-score),based on which the patients were classified into high-and low-risk groups for Kaplan-Meier survival analysis.Cox proportional hazard regression models for the 3 different tumor zones were constructed,and their performance for predicting 1-and 3-year survival rates was evaluated using 5-fold cross-validation and AUC analysis followed by external validation using data from another 10 glioma patients.The best-performing model was used for constructing a nomogram for survival predictions.Results Five radiomics features from the tumor core,7 from the peritumoral edema zone,and 5 from the whole tumor were selected.In both the training and test sets,the high-and low-risk groups had significantly different OS(P<0.05),and age,IDH status and Rad-score were independent factors affecting OS.The combined model showed better performance than the Rad-score model with AUCs for 1-year and 3-year survival prediction of 0.750 and 0.778 in the training set,0.764 and 0.800 in the test set,and 0.938 and 0.917 in external validation,respectively.Conclusion The predictive model combining preoperative multi-modal MRI radiomics features and clinical features can effectively predict survival outcomes of glioma patients.

Objective To establish a predictive model for survival outcomes of glioma patients based on both brain radiomics features from preoperative MRI multi-sequence images and clinical features.Methods We retrospectively analyzed the MRI images and clinical data of 388 glioma patients and extracted the radiomics features from the peritumoral edema zone,tumor core,and whole tumor on T1,T2,and T1-weighted contrast-enhanced(T1CE)and fluid attenuated inversion recovery(FLAIR)sequences.The cases were divided into a training set(271 cases)and a test set(117 cases).Random survival forest algorithms were used to select the radiomics features associated with overall survival(OS)in the training set to construct a radiomic score(Rad-score),based on which the patients were classified into high-and low-risk groups for Kaplan-Meier survival analysis.Cox proportional hazard regression models for the 3 different tumor zones were constructed,and their performance for predicting 1-and 3-year survival rates was evaluated using 5-fold cross-validation and AUC analysis followed by external validation using data from another 10 glioma patients.The best-performing model was used for constructing a nomogram for survival predictions.Results Five radiomics features from the tumor core,7 from the peritumoral edema zone,and 5 from the whole tumor were selected.In both the training and test sets,the high-and low-risk groups had significantly different OS(P<0.05),and age,IDH status and Rad-score were independent factors affecting OS.The combined model showed better performance than the Rad-score model with AUCs for 1-year and 3-year survival prediction of 0.750 and 0.778 in the training set,0.764 and 0.800 in the test set,and 0.938 and 0.917 in external validation,respectively.Conclusion The predictive model combining preoperative multi-modal MRI radiomics features and clinical features can effectively predict survival outcomes of glioma patients.

Objective To investigate the clinical features and related risk factors of osteoporosis and osteoporotic fracture (OPF) in patients with rheumatic diseases (RD),and the fracture predictive values of fracture risk assessment tool fracture risk assessment (FRAX(R))for Han patients.Methods A total of 313 untreated RD patients were included.Each individual BMD was measured at lumbar spine and femoral neck with Dual-energy X-ray absorptionary.Ten-year probability of fracture (％) was calculated by fracture risk assessment tool FRAX(R) of Chinese model.Each individual previous fracture was confirmed by X-ray or CT examination.The associations between BMD,FRAX),previous fracture and age,bone mass index,nationality,erythrocyte sedimentation rate (ESR) and RD types were analyzed.T test or Wilcoxon test was used to compare the difference between groups for statistical analysis.Pearson/Spearman rank order and binary regression were used to analyze the correlations between variables of normal/non-normal and two classification distribution.Results ① The BMD of patients with untreated RD was significantly lower than that of control group (P=0.000).Individuals diagnosed with "osteopenia" in the RD group and control group were accounted for 39.3％ (123/313) and 15.8％ (47/296) respectively.Individuals diagnosed with "osteoporosis" in RD group and control group were accounted for 11.5％ (36/313) and 5.4％ (16/296) respectively.② The next 10-year probability of the hip (Z=-2.28,P=0.02) and major osteoporotic fracture (Z=-1.98,P=0.03) were higher than those of the control group,as well as the actual incidence of OPF (x2=25.11,P=0.00),the difference was statistically significant.③ 27.3％(18/66) and 55.0％(11/20) of the previous OPF patients in RD group and control group achieved the diagnostic criteria of "high risk" of hip fracture.And 12.1％ (8/66) and 35.0％ (7/20) achieved the "high risk" of major osteoporotic fracture.④ Patients with RA,SLE and pSS had significantly increased risk of fracture.Ten-year fracture risks were negatively related to advanced age,female gender and ESR.Conclusion Bone loss and increased fracture risk are prevalent in the early stage of untreated rheumatism patients.RA,SLE plays an important role in low bone mass.The FRAX China model may underestimate 10-year fracture probability of RD patients and controls.Further explore should be done to predict the FRAX China model on different areas and different RDs.