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

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.

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 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.

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.

Dust ; analysis ; prevention & control ; Humans ; Pneumoconiosis ; prevention & control

Child, Preschool ; Coronary Aneurysm ; diagnosis ; etiology ; prevention & control ; Drug Therapy, Combination ; Early Diagnosis ; Glucocorticoids ; administration & dosage ; therapeutic use ; Humans ; Immunoglobulins, Intravenous ; administration & dosage ; therapeutic use ; Immunologic Factors ; administration & dosage ; therapeutic use ; Infant ; Mucocutaneous Lymph Node Syndrome ; complications ; diagnosis ; drug therapy ; Treatment Outcome

Dentists ; Educational Measurement ; Guidelines as Topic ; Licensure, Dental ; Prosthodontics ; education

Acupuncture ; China ; Moxibustion

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.