Objective To establish a capillary gas chromatography method for the determination of menthol and methyl salicylate in Shangtongning adhesive plaster. Methods The internal standard substance of n-Pentadecane was employed. The GC system consisted of a DB-WAX capillary column (30 m?0.32 mm, 0.25 ?m), nitrogen as the carrier gas, column temperature at 130 ℃, FID as the detector at 200 ℃, and with a split ratio of 12∶1. Results The contents of menthol and methyl salicylate in 6 lots of samples were determined and the constituents concerned were separated well under the chromatographic condition. The average recovery of menthol and methyl salicylate were 101.52% (RSD=2.66%) and 100.34% (RSD=3.38%), respectively. Conclusion The method was sensitive, accurate, specific and suitable for the quality control of the preparation.

This article introduced the practice of emergency personnel cultivation according to order form based on the cooperation between Cang Zhou Medical College and the Beijing Red Cross emergency rescue center. The implementation process: First, we tried and built cooperative relation with the enterprises and public institutions which had strong cooperative intention, high demand and advanced techniques by field investigation. Second, we signed order training agreement, made clear the rights and obligations of both sides. Then, we selected the best students and formed the ordered class. Both sides organized the professional construction committee together. After much argument we thrashed practical talent training projects and professional development plans and implemented them strictly. We also built up a high quality team which involved full-time teachers as well as part-time teachers with balanced age and education. Besides, we adopted two plus one training pattern and em-ployed the best (the rate of employment beyond 80%). Thus, the win-win situation of students, schools and hospitals was realized.

Objective To analyze the quality of life (QOL) of mothers of children with cerebral palsy and it's influencing factors.Methods The QOL of 123 children with cerebral palsy and their mothers was assessed a 36-item short form health survey (SF-36) and basic questionnaires combined with interviews.The factors influencing QOL were analyzed with t-tests and one way analysis of variance,and multiple regression analysis was used to determine the main influencing factors.Results Scores on all of the SF-36 items were much lower for mothers of children with cerebral palsy than for mothers of normal children.Average scores in the domains of emotional health,general health and vitality were the lowest (55.28,60.49 and 65.26 respectively).Correlation analysis showed that general health,physical function and role emotions were positively correlated with the child's age.All domains except pain were negatively correlated with the child's condition.Social functioning was positively correlated with the mother's age.The general health,role emotional,social function,and mental health scores were all negatively correlated with the mother's education level.Univariate analysis showed that the child's age and condition,the mother's education level and occupation,and the father's occupation all significantly predicted the mother's QOL.Multivariate regression analysis confirmed that the child's age and the father's occupation had significant predictive power.Conclusions The QOL of the mother of a child with cerebral palsy is mainly influenced by the child's age and condition,the mother's education level and occupation,and the father's occupation.Comprehensive and effective measures should be taken to improve the QOL of mothers of children with cerebral palsy and to improve the efficacy of rehabilitation for children with cerebral palsy.

This study aims to investigate the effect of total flavones of Fructus Chorspondiatis (TFFC) on the mRNA and protein expression of collagen type I and III of rat cardiac fibroblasts (CFs) induced by angiotensin II (Ang II), and explore its anti-myocardial fibrosis molecular mechanism. Neonatal rat CFs were prepared from Sprague-Dawley rats (1-3 d after birth). The expression of collagen type I and III mRNA and protein were measured by RT-PCR and Western blotting, respectively. The study showed that stimulation of neonatal rat CFs with 100 nmol.L-1 of Ang II for 72 h resulted in a significant increase of the expression of collagen type I and III mRNA and protein. The changes on the expression level were blocked by TFFC. The results demonstrated that TFFC can inhibit myocardial fibrosis induced by Ang II in rats, which is probably associated with the collagen type I and III mRNA and protein levels up-regulated by Ang II, and TFFC was shown to decrease the expression levels of collagen type I and III mRNA and protein.

Objective To establish an HPLC method for determination of low-molecular-weight carbonyl compounds in the oil-containing herbs. Methods After carbonyl compounds in the samples were extracted with water, the solution reacted with 2, 4-dinitrophenylhydrazine (DNPH) in an acidic medium to form 2, 4-dinitrophenylhydrazone derivatives, which were separated on Kromasil KR100-5 C18 column (250 mm× 4.6 mm, 5 μm). The mobile phase A was water-acetonitrile-tetrahydrofuran-isopropanol (59∶30∶10∶1), mobile phase B was water-acetonitrile (35∶65), gradient elution. The flow rate was 0.8 mL/min, detection wavelength was 365 nm, and column temperature was 30 ℃. Results Good linearities were obtained in corresponding concentration ranges, with correlation coefficient over 0.999. The limits of detection of the eight DNPH derivatives were 0.002-0.008 μg/mL, and the average recoveries were 88.49%-93.65%. Conclusion The method is simple, accurate and reliable, with good reproducibility.

Objective:To develop a prediction model based on imaging features by contrast-enhanced MRI radiomics combined with clinical features for early recurrence of hepatocellular carcinoma (HCC) after radical resection.Methods:A retrospective study was carried out on 109 HCC patients who underwent radical resection at the Fifth Affiliated Hospital of Wenzhou Medical University from January 2015 to December 2020. Of 109 patients enrolled in this study, there were 96 males and 13 females, aged (58.3±10.7) years. Based on whether there was recurrence within 12 months after operation, the patients were divided into the early recurrence group ( n=31) and the control group ( n=78). These 109 patients were then randomly divided into the validation set ( n=23) and the training set ( n=86) at a ratio of 1∶4. Based on preoperative multi-phase contrast-enhanced MRI scanning, the tumor lesions were delineated on the Radcloud platform, and 1 409 quantitative radiomic features were extracted. Dimension reduction and screening of these features were carried out using variance threshold, SelectKBest and LASSO. Combined with clinical features (alpha fetoprotein, tumor size), several prediction model were established through machine learning. The predictive efficiencies of these models were evaluated using the area under the receiver operating characteristic (ROC) curve, accuracy rate, recall rate and balanced F score. Results:The proportions of irregular tumor shape and unclear tumor boundary, as well as maximum tumor diameter in the early recurrence group were significantly higher than that in the control group, but the proportion of pseudocapsule was significantly lower than that in the control group (all P<0.05). A total of 465 features were screened from the 1 409 features using the variance threshold method, followed by 38 features were screened using the method of SelectKBest. Finally 7 optimal radiomic features were screened based on the LASSO method. When combined with clinical features, 5 prediction models were established through machine learning. These models were support vector machine, Gaussian naive bayes, logistic regression, Multinomial naive bayes and K-nearest neighbor (KNN), respectively. Among these 5 models, the prediction efficiency of the KNN model was relatively highest, with the area under the ROC curve, accuracy rate, recall rate and balanced F score being 0.90, 0.98, 0.74 and 0.84 in the training set, and 0.76, 0.92, 0.75 and 0.83 in the verification set, respectively. Thus, the KNN model was selected as the best prediction model in this study. Conclusion:The prediction model of KNN was developed for early recurrence of HCC after radical resection based on preoperative contrast-enhanced MRI radiomics combined with clinical features.