Based on analyzing the problems existed in hostital informatization, the paper proposes using shared-database to realize data sharing among various departments.It mainly introduces shared-database and its function module and customer display module. The introduction of shared-database is conducive to comprehensive management of hospital data, providing basis for future data mining.

Objective: To compare the effectiveness of seasonal autoregressive integrated moving average (SARIMA) model, additive Holt-Winters model, Holt-Winters' multiplicative model, GM (1, 1) model and linear combination prediction model for prediction of pulmonary tuberculosis incidence. Methods: Data pertaining to monthly incidence of pulmonary tuberculosis in Xinjiang Uyghur Autonomous Region from 2004 to 2008 were captured from Public Health Sciences Data Center. The SARIMA model, additive Holt-Winters model, Holt-Winters' multiplicative model, GM (1, 1) model and linear combination prediction model were created based on the incidence of pulmonary tuberculosis from January 2004 to June 2018, to predict the incidence of pulmonary tuberculosis from July to December 2018. The predictive value of each model was evaluated using absolute percentage error (APE), mean APE (MAPE) and root mean square error (RMSE), and the best model was selected based on minimum APE, MAPE and RMSE. Results: The SARIMA model showed the minimum APE (10.94%), 11.01% and 7.96% MAPE and 564 and 419 RMSE at the model-fitting and prediction phases; followed by the linear combination prediction model, with 13.71% APE, 12.01% and 7.94% MAPE and 600 and 447 RMSE at the model-fitting and prediction phases, while the additive Holt-Winters model, Holt-Winters' multiplicative model and GM (1, 1) model showed a low predictive value. Conclusion The SARIMA and linear combination prediction models are superior to additive Holt-Winters model, Holt-Winters' multiplicative model and GM (1, 1) model for prediction of pulmonary tuberculosis incidence.

[Objective]To evaluate the clinical and radiological findings in 56 patients with multilevel lumbar spinal stenosis in pre-and post-surgical treatment. [Method]From 1998 and 2002,56 patients suffering from multilevel lumbar spinal stenosis were included in a retrospective clinical study.Plain radiographs,MRI and/or CT myelograms were obtained preoperatively.The patients were assessed clinically with Oswestry disability index(ODI),visual analog scale(VAS) and the Beaujon functional score.Surgical procedure included wide posterior decompression and fusion using a transpedicular instrumentation system and bone grafts. [Result]After a mean follow-up of 2.2(2~2.6) years,the patients' clinical improvement by ODI,VAS was statistically significant and the Beaujon score was significantly improved(P

Traditional Chinese medicine placebo has been put more and more attention to. However, there is no ac-cepted quality evaluation method for TCM placebo. How to evaluate TCM placebo objectively and quantitatively is a common problem in the industry of Chinese medicine. New technologies such as the Intelligent Sensory Technique have been used to establish the placebo evaluation methods which are suitable for TCM characteristics. This article provided the basis for establishing scientific, rational and objective evaluation guiding principles for TCM.

Objective To develop a multivariate logistic regression model , and to predict the risk of ma-lignant partially cystic thyroid nodules .Methods 470 patients(662 nodules)treated with surgery and confirmed by pathological diagnosis were screened out .Their ultrasonographic morphology and vascularity of thyroid nod-ules, thyroid stimulating hormone(TSH)and clinical information were collected and analyzed retrospectively .The model was developed to calculate the individual risk and ROC curve was used to evaluate the predictive index . Results The regression model was:Z=-3.60+1.40X2+2.47X3+1.05X4+0.57X9+0.07X10+1.02X12 ( X2 represents eccentric acute-angle configuration , X3 represents microcalcification , X4 represents cystic-solid margin,X9 represents echogenecity of solid portion , X10 represents TSH,X12 represents gender );M=eZ/1+eZ (M represents probability of malignancy , e represents natural constant 2.72).When applied the model to the ver-ification group, the accuracy, sensitivity, specificity, misdiagnosis rate, missed diagnosis rate, negative likeli-hood ratio(LR-)and positive likelihood ratio(LR+)was 96.95%,100%, 96.68%, 3.32%, 0%, 0 and 30.12 respectively.The largest area under the receiver-operating characteristics curve (AUC)was 0.88,which proved the model has high diagnostic value .Conclusions The model has high accuracy to predict the risk of malignan-cy.M is closely related to malignant risk of partially cystic thyroid nodules .

Artificial intelligence has been gradually applied in medical image diagnosis, showing good efficiency and diagnostic accuracy. As a recent innovation in artificial intelligence, convolutional neural network (CNN) displayed the ability to interpret medical images with accuracy at or near that of skilled clinicians for some applications, indicating overwhelming clinical application prospects. The research progresses of CNN in musculoskeletal radiology were reviewed in this article.

Objective:To screen antigen of Helicobacter pylori outer membrane proteins by murine infection model.Methods:Parallel two-dimensional gel electrophoresis (2D) of outer membrane proteins extracted from Helicobacter pylori strain SS1 was performed.Western blot of a duplicate 2D gel hybridized with serum from H.pylori-infected murine was employed.Immunogenic H.pylori proteins identified in this way were digested in gel by trypsin and the mass of generated peptides were measured by matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS).The data obtained from peptide mass finger-printing (PMF) were searched using the internet available database.Results:32 proteins were identified and they are in good agreement with typical protective antigens which reacted with serum from H.pylori-infected patients.Conclusion:The results suggest that murine model of H.pylori may be valid to screen antigens for human vaccination and the proteins identified in this paper are valuable for the selection of H.pylori protective antigens as well.

Objective A multivariate logistic regression model was built to estimate the risk of malignant partially cystic thyroid nodules.Methods Data of ultrasonographic morphology,microcalcifications,margin,colloid crystals and echogenicity of 766 thyroid nodules (of 506 patients) were analyzed retrospectively.All patients underwent surgery and the diagnosis were confirmed by pathology.The model was built to calculate the individual risk and evaluate the predictive index.Results The regression model was Z =-2.30 + 1.42X2 + 2.39X3 + 1.17X4-1.35 X7 + 0.62X9 ; P =eZ/1 + ez (P represents probability of malignancy,e represents natural constant 2.72).The largest area under the receiver-operating characteristics curve (AUC) was 0.86.When apply the model to the verification group(266 nodules),the accuracy,sensitivity,specificity,misdiagnosis rate,missed diagnosis rate,negative likelihood ratio and positive likelihood ratio were 93.61％,83.33％,94.63％,5.37％,16.67％、0.18 and 15.52 respectively.Conclusions This model based on the ultrasonographic variables increases the diagnostic accuracy of malignancy in patients with partially cystic thyroid nodules.

Objective:To explore the function of the cya gene and the preliminary mechanism of attenuated strain.Methods:The biological characteristics of cya mutant in acid and alkali resistant,salt resistance,motility,biofilm components,poisonous to the cells of epithelial cell adhesion,invasion were analysis.Results:The mobility capabilities,acid and alkali resistance and salt tolerance of cya mutant were significantly lower than the parent strain;the composition testing revealed that the cya mutant did not produce cellulose,curli and biofilm;at the same time the adhesion and invasion to epithelial cells of cya mutant had a prominent depression,and the toxicity to HeLa cells was weaker than the parent strain.Conclusion:The function of cya gene is closely related to athletic ability, penetration of cell membrane, the formation biofilm and virulence.It will provide a theory reference to the functional research of Salmonella typhimurium cya gene and the mechanism of attenuated strain.This will contribute to the development of oral vaccine using attenuated Salmonella typhimurium as vector.

Abstract: Objective　The method of "molecular docking - molecular dynamics - in vitro pharmacology" was used to screen and optimize small molecule polypeptide compounds that can block PD-1/PD-L1 binding and have high anti-tumor activity. Methods Using the 5-peptide compound database constructed by our team and the three-dimensional structure data of the PD-L1 protein downloaded from the protein database (PDB), the peptide compounds obtained by flexible molecular docking using Molecular Operating Environment software. The molecular dynamics calculation and analysis of the compounds with the highest GWVI/WSA (generalized Born volume integral/weighted surface area) free energy change value (ΔG) were carried out, including the root mean square deviation (RMSD) of the position change of the weight atom and the interaction energy (the sum of Lennard-Jones potential and Coulombic energy). The blocking effect of ligand compounds on PD-1/PD-L1 binding was analyzed by the homogeneous time-resolved fluorescence (HTRF) technique. The co-culture system of Jurkat T lymphocytes and melanoma B16-F10 cells was established to explore the effect of compound ligands on the killing effect of T cells on tumors and the effect on the secretion level of IL-2 in the co-culture supernatant. Results The selected polypeptide compounds were analyzed by molecular dynamics, and the binding of RGGHA to RGGHH and PD-L1 was stable. There are many kinds of interactions between RGGHA and PD-L1，which can compete with PD-1 ligands to bind Asp122, Try123 and Lys124 sites of the PD-L1 protein and block PD-1/PD-L1 signal transduction. HTRF experiments showed that the binding inhibition rate of RGGHA to PD-1 and PD-L1 was 58.38%, and that of RGGHH was 42.73%. In addition, we established a co-culture system of Jurkat T lymphocytes and melanoma B16-F10 cells to explore the immunostimulatory effect and mechanism of peptides. The results show that RGGHA and RGGHH can significantly increase the secretion level of IL-2, improve the killing ability of T cells against tumor cells and activate the tumor immune microenvironment. Conclusions The study found that the polypeptide compounds RGGHA and RGGHH can effectively block the PD-1/PD-L1 interaction and reactivate the anti-cancer immune response, which can be used as lead compounds for new drug development.