Chinese Society of Medical Science Research Administration Association has been established for 28 years.In order to make Chinese Society of Medical Science Research Administration Association better play the role,strengthen communication and guidance,the author made an investigation and analysis on Local Medical Association Medical Research Management special committee of current situation.With the increasing research investment from government,efficient research outputs need science research personnel and higher comprehensive quality of research and management personnel.Establish and improve local medical science research management special committee by means of positive organizational building and rich academic exchange and professional training to promote medical research management team construction.

Medical scientific research is the main driving force of development of medical science.In order to ensure the Hospital take the road of sustainable development in a market economy environment,We must rely on technologIcal progress and innovation to improve the comprehensive competitiveness of the hospital.Through analysis the present of our hospital scientific research,Proposed the bottleneck problem how to maintain the momentum of scientific research development.And on this basis investigate the hospital scientific research trends:Achieve major breakthrough in scientific research; To Create scientific For the sake of research team with strong competitiveness,To Strengthen personnel training gradient,reserve new force for development of hospital's scientific research; Apply for the high level scientific research projects,Strengthen the regulatory regime of the scientific research projects; Around a stable long-term scientific research direction to do depth research; Ensure The hospital's scientific research work on a sustainable development path.

Objective To predict the astronaut organs radiation exposure and related health risks in the space radiation environment, the calculated method is studied. Methods A male voxel human model based on MRI and radiation data bank was build. The calculation was carried out with Monte Carlo particle transporting program GEANT4. Results The organ absorbed dose distribution and the effec-tive doses to the model in isotropic proton fields with energies ranges from 10 MeV to 500 MeV were obtained. Conclusion Based on the Chinese astronaut voxel model and the data set of proton spectrum measured in the space cabin, the cumulated dose in the model is gotten. The calculated skin dose is about 148.6 μGy/d, which is within in the range of 100 -300 μGy/d, published by USA and Russia.

Objective:To investigate the expression of maternally expressed gene 3 (MEG3), a long non-coding RNA gene, in gastric can-cer tissues;determine the relationship of MEG3 with the prognosis of gastric cancer;and explore the relationship between MEG3 and apoptosis-associated protein P53 as well as murine double minute 2 (MDM2). Methods:Fifty-five consecutive patients with gastric cancer admitted to Qingdao Municipal Hospital for surgical treatment from September 2012 to June 2013 were included in this study. Gastric cancer and paired normal tissues were collected. The expression of MEG3 was tested through real-time quantitative poly-merase chain reaction (qRT-PCR). Western blot analysis was used to detect the expression of P53 and MDM2 in gastric cancer and eval-uate their correlations with MEG3. Results:The expression of MEG3 decreased in cancer tissues (7.98±0.19) relative to the correspond-ing normal tissues (9.47±0.18) (P<0.05). P53 and MDM2 showed negative relationships in the gastric cancer and normal tissues. A posi-tive relationship was found between P53 and MEG3 (r=0.591, P<0.05), whereas a negative relationship was found between MDM2 and MEG3 (r=?0.346, P<0.05). The median survival time was significantly prolonged in patients with high MEG3 expression compared with patients with low MEG3 expression. Conclusion:MEG3 exerts an inhibiting effect on the development of gastric cancer. MEG3, P53, and MDM2 may have important relationships in the biological mechanisms of gastric cancer development. Detecting the expression level of MEG3 may be useful for the prognosis of gastric cancer.

Objective Analyze specialty distribution of 113 First Prize winning projects of Chinese Medical Science and Technology Award by the year 2015.Summarize the status and trend of First Prize winning projects’ specialty distribution.Methods Collect basic information on 113 First Prize winning projects by utilizing "t" testing method and combining with the examination and appraisal of professional science and technology projects to analyze the characteristics of specialty distribution.Results Among the 113 First Prize winning projects,the number of First Prize winning projects of Basic Medicine is decreasing while the number of application projects is increasing.Conclusions The specialty diversification of First Prize winning projects of Chinese Medical Science and Technology Award in the past 15 years reflects recent changes in the concept of evaluating science and technology projects and judges are placing more emphasis on whether projects can solve practical problems.

Objective:To develop and verify a nomogram to predict disease-free survival(DFS)and overall survival(OS)for patients undergoing cervical cancer surgery,which may provide reference for evaluating the prognosis of cervical cancer patients undergoing surgery.Methods:The clinical,pathological and follow-up data of patients who underwent radical operation for cervical cancer in Xijing Hospital,Air Force Medical University from March 2013 to October 2018 were analyzed retrospectively.Based on Cox regression analysis,Bayesian Informa-tion Criterion(BIC)backward stepwise selection method and R square screening variables,Net Reclassification Index(NRI)and Integrated Discrimination Improvement(IDI)were used to compare the predictive efficiency of the model,and a nomogram with better predictive efficiency was selected.The consistency index(C-index)and the receiver operating characteristic curve(ROC)were used to test the efficiency of the nomogram.Results:A total of 950 patients with cervical cancer were enrolled in this study.The risk factors for constructing the DFS nomogram were FIGO stage(2018),parametrium invasion,invasion depth,and maximum tumor diameter.The C-index for DFS in the training cohort and the verification cohort were 0.754 and 0.720,respectively.The area under ROC of the training cohort for 1-,3-and 5-years was 0.74(95%CI 0.65-0.82),0.77(95%CI 0.71-0.83)and 0.79(95%CI0.74-0.85),and the areas under ROC of verification cohort 1-,3-and 5-years were 0.72(95%CI 0.58-0.87),0.75(95%CI 0.64-0.86)and 0.72(95%CI 0.61-0.84),respectively.The risk factors for con-structing the OS nomogram were FIGO stage(2018),histological type,LVSI,parametrium invasion,surgical mar-gin,and invasion depth.The C-index for OS in the training cohort and the verification cohort were 0.737 and 0.759,respectively.The area under ROC of the 3-and 5-year training cohort were 0.76(95%CI 0.69-0.83)and 0.78(95%CI 0.72-0.84),and the areas under ROC of verification cohort 3-and 5-years were 0.76(95%CI 0.65-0.87)and 0.79(95%CI 0.69-0.88),respectively.Conclusions:This study is based on real-world big data to construct nomogram of DFS for 1,3,and 5 years and OS for 3,and 5 years for cervical cancer,which have ideal predictive effects and help clinical physicians correctly evaluate the prognosis of cervical cancer surgery patients.It provides strong reference basis for diagnosis,treatment,and prognosis evaluation.