Effects of selective two-child policy:A multi-level theoretical analysis / 中国卫生政策研究

With the implementation of the selective two-child policy ( if one side of the partners is a single child, the couple is allowed to have a second child) across provinces, the consequences of the new policy have drawn a great deal of attention from the community. This paper attempts to interpret policy effects from macro, household, and individual perspectives. It is argued that the macro effects on population and the size of labor pool or its increase is trivial. At the household level, however, the policy may yield effect much larger than 1+1=2. Similarly, for in-dividual women, this policy may render them to face a dilemma: giving birth to another child or giving it up to a-chieve social mobility in the labor market. Although childbirth is a period event, it may, like domino, cause a series of events in the later life. Nevertheless, the consequences of the new policy for children are largely positive by allevi-ating their psychological and practical burden, and facilitating the formation of a healthy personality.

The distinguishing of gastric cancer associated genes by digital gene expression displayer using serial analysis of gene expression database / 中国医师杂志

Objective To proceed deep data mining in large database obtained by Cancer Genome Anatomy Project and to distinguish the difference expression genes of gastric carcinoma.Methods The 300,783 serial analysis of gene expression records from 4 libraries of gastric cancer and 2 libraries of normal gastric tissue in database of the Cancer Genome Anatomy Project were analyzed by digital gene expression displayer.Results The 201 difference expression tags represented 136 genes(54 up-regulated and 82 down-regulated) and 65 ESTs(24 up-regulated and 41 down-regulated) were distinguished,and these genes were involved in biological process and signal transduction pathways,such as cell cycle regulation,cell proliferation and apoptosis.The gene expression profile in whole body normal and cancer tissues of PTMA were constructed by digital Northern based on serial analysis of gene expression database and by virtual Northern based on cDNA database,respectively.Conclusion The difference expression genes of gastric cancer can be distinguished effectively with bioinformatics,and the results will guide our further molecular biology research.If validated by molecular biology experiment,the difference expression genes will be used as molecular targets of gastric carcinoma.