In view of the fact that the Pharmaceutical Patent Law will be put into effect in China,the authors suggest that the development of new drugs in China should be relied mainly rather on creating than on copying. However,some of the effective drugs should be still modelled on foreign products. We should pay great attention to the research work on pharmaceutical preparations and the development of Chinese patent medicine, intermediates of preparation and reagents.

Fatal Outcome ; Humans ; Infant, Newborn ; Kidney ; abnormalities ; Male ; Pneumothorax ; etiology ; Respiratory Distress Syndrome, Newborn ; etiology ; Syndrome

Objective:To develop a new nucleic amplication method for detection of Chlamydia trachomatis DNA by gap ligase chain reaction(G-LCR).Methods:A G-LCR DNA amplification assay that targeted the outer major membrane protein gene(omp1)of CT was established to detect CT infection.The sensitivity and specificity of a newly developed G-LCR test was examined by the use of highly purified elementary bodies (EBs).DNA fragments of different species and from other bacteria1 were detected with G-LCR and routine polymerase chain reaction (PCR).Results:Using G-LCR,DNA fragments of 54bp were amplified from five different species.The sensitivity could be improved to detect out 2 chlamydial elementary bodies.G-LCR detected ten-fold EBs than PCR.No signal was observed when C.pneumoniae and other bacteria were used as templates.Conclusion:G-LCR is sensitive,rapid and specific for detection of Chlamydia trachomatis.

It is generally agreed that motivation is one of the most important factors influencing the students success or failure in learning a language. Motivation, according to Harmer, is an internal drive that encourages the learner to pursue a course of action(1983: 3). Expressed more colloquially, when students perceive an attractive goal that they wish to achieve, they may do whatever is necessary to reach it. Then they are strongly motivated.This article aims at introducing the classification teaching method into English teaching. Studies suggest that classification teaching method has positive effects on motivation.

Objective:To explore the relations between freshmen's self-identity status,personality characteristics and mental health status.Methods:188 new students were asked to complete the questionnaires of mental health scale and personality scale from the China college students mental health evaluation system,and eollnge students self- identity status scale.Results:①the most status of identity is achievement(43.1%),then the identity diffusion (30.9%);②male students in compare with female,were more likely in achievement status(60.7?13.8/53.9?11.4,P0.406);③the achieve- ment status had obvious negative correlation with depression,dependency(r=-0.17～-0.24),the diffusion status had obvious positive correlation with depression,social-withdrawal,and impulsion(r=0.15～0.34);④active,ac- commodating,tough-minded personality characteristics had obviously negative correlation with mental symptoms(r= -0.16～-0.56).Conclusions:encourage college students to form the achievement ego-identity status,to be ac- tive,accommodating and tough-minded,will be helpful for their psychological health.

Objective To explore ladder and compensation system of nurse-staffing which is suitable for the situation of our country.Methods The ladder management and compensation system to nursestaffing of National Health Service (NHS) in UK were given detailed introduction and analysis through the official documents,references and personal study experiences,and summarize its scientific and referenced aspects.Results NHS has formed a set of mature competency-based ladder system,and linked the ladder system to compensation system,made a relative scientific performance appraisal system,realized the scientific competency matches the level,salary changes along with the level model.Conclusions It provides references and thinking to the in-depth reform of public hospitals in our country,and the development of high quality nursing service,as well as the implementation of nursing ladder management and compensation reform.

Objective:To optimize the extraction process of Guilong cataplasm .Methods:The yield of volatile oil was used as the index to optimize the volatile oil extraction technology by single factor tests. The yield of dry extract and the content of aconitine were used as the indices to optimize the water extraction technology by single factor tests and orthogonal test .Results:The optimal extraction conditions of volatile oil were as follows:the soaking time was 1h with 8-fold volume of water , and the extraction time was 6 hours.The optimal water extraction conditions were as follows:using 8-fold volume of water extracted for 3 times with 1 h for each time .Conclu-sion:The extraction process is simple , reasonable and reproducible ,which is suitable for the next research of Guilong cataplasm .

Objective To study the radiosensitization effects of tetrandrine on advanced non small cell lung cancer and its toxicity.Methods The patients of 82 cases with advanced non-small cell lung cancer were confirmed by pathology or cytology.The first course of treatment was treated with radiation therapy.Patients were divided into three groups:tetrandrine group,paclitaxel group and radiotherapy group.Tetrandrine group(30 cases)took radiotherapy with 40 mg tetrandrine(3 times a day)from the first day to the ending.Paclitaxel group (29 cases)took radiotherapy with intravenous infusion of 60 mg paclitaxel(once a week).Radio-therapy group (23 cases)only received radiotherapy.Results Tetrandrine and paclitaxel had the same radiosensitizing effect in ra-diotherapy.The total effective rate of tetrandrine and paclitaxel group was higher than radiotherapy group (P <0.05 ).The inci-dence of radiation pneumonitis in tetrandrine group was significantly lower than the other two groups (P <0.05).The one year free disease survival rate was promoted in tetrandrine group than other groups.Conclusion Tetrandrine was known as the same radia-tion sensitizing effect of paclitaxel fairly,which can reduce the toxicity of radiotherapy.

Objective To investigate the positive and suspicious rates of BV, SRV, SIV and STLV-1 antibody of the cynomolgus monkeys introduced from Laos, dynamic monitoring of virus antibody during the establishment of SPF cyno-molgus monkey population, and then comparing the positive rate of virus antibody in the baby monkeys between the common with SPF populations.Methods Continuous monitoring four kinds of virus in the monkeys was carried out using special reagent kits and analyzed the data.Results In the introduced cynomolgus monkeys (n=1998), the positive rate of BV antibody was 52.35%, suspicious rate of BV antibody was 8.31%, and negative rate of BV antibody was only 39.34%, the positive rates of SRV and STLV-1 antibody were 7.45%and 8.56%, respectively, and positive or suspicious SIV anti-body in the cynomolgus monkeys was not detected.After screening and establishment of the SPF population, the positive rates of BV, SRV and STLV-1 antibody were 5.24%, 1.01%and 0.4%, respectively, in the year 2010.Then after five years of screening and elimination, by the end of 2014, the positive rates of BV, SRV and STLV-1 antibodies were 0.82%, 0.27%and 0.27%, respectively, and positive or suspicious SIV antibody in the cynomolgus monkeys was not de-tected.The BV antibody positive rate of the baby monkeys was 9.71%and the suspicious rate was 1.85%in the common population, but only 0.22%of the baby monkeys in the SPF population.Conclusions Continuous monitoring virus anti-bodies and eliminating positive and suspicious animals have important significance in the establishment of a SPF cynomolgus monkey population.

BACKGROUND: Gene microarray data has small sample size and large numbers of variates.Traditional statistical method is not effective.Genetic algorithm(GA)and support vector machine(SVM)are machine learning algorithms developed rapidly in recent years,which can decrease the dimension of features.OBJECTIVE: To combine GA and SVM to classify samples and compare with other two processes in which all genes and difference expression genes are taken as classifiers,respectively.METHODS: We applied golub data set provided by Bioconductor,which included gene expression data of leukaemia samples and normal samples.All genes were used to classify samples with SVM.SAM software was used to extract difference expression genes and estimate False Discovery Rate.Finally,76 difference expression genes were used as feature gene set to classify samples with SVM and GA-SVM respectively.Three classification effects were compared.Additionally,the distribution and function about feature genes in KEGG pathways were also discussed.RESULTS AND CONCLUSION: The accuracy of classification of SVM was improved by decreasing dimension with genetic algorithm.In particular,this process eliminated a great deal of redundant genes and noises,which improves the classification performance.Results show that GA-SVM algorithm is effective in classifying samples.In addition,the pathway analysis shows that signal transmission and amino acid metabolism are two major functions of feature genes.