OBJECTIVE:To study on the effect of iodine (I2) on the acid content titration in the preparations,and establish a method of eliminating I2 for accurate determination of total acid content. METHODS:Taking an example of Onychomycosis paint,I2 was reduced by sodium sulfide(Na2S)before titration analysis and compared with the standard method of traditional titration. Ac-cording to the two methods of consumption of different sodium hydrate(NaOH)volume,the effect of I2 on the determination of to-tal acid content in preparation was explored. RESULTS:Reduction method of Na2S can eliminate the effect of I2,the color of indica-tor changed acutely. The determined total acid and theoretical values were the same;the linear range of the concentration of total ac-id in onychomycosis paint was 3.926-7.290 mol/ml(r=0.9999);RSDs of precision,stability and reproducibility tests were no more than 0.04%;average recovery was 99.91%-100.10%(RSD=0.036%,n=6). CONCLUSIONS:I2 has effect on the determina-tion of total acid content,the disproportion reaction of I2 can generate hydriodic acid that can interfere acid-base titration's results, and the generated hydriodic acid can oxidize indicator to make the end point is not sensitive or even invariant color. Using Na2S can eliminate the effect of iodine on the preparation of acid titration,which has improved precision and reproducibility with accurate and reliable determination results.

Objective To predict and verify the upstream regulatory microRNA (miRNA)of protein kinase D1 (PKD1),and to investigate its role in cerulein induced acute pancreatitis (AP)in rats. Methods Potential up-stream regulatory miRNA of PKD1 was predicted by using bioinformatics software. Dual luciferase reporter gene system and Western blot were applied to verify the regulation of PKD1 by the selected miRNA. Experimental AP was induced by 6 intraperitoneal injection of cerulein (20 μg/ kg)at hourly intervals after administration of the CY5 - labeled notar-get control (AP group,n = 20)or selected miRNA (treatment group,n = 20),respectively by intraperitoneal injection into rats. Other rats were divided randomly into a normal control group (n = 10)without any treatment. Besides 10 rats in either AP or treatment group were sacrificed 6 hours after the first injection of cerulein,and the rats were all sacri-ficed 24 hours after the first injection. The blood samples and pancreatic tissues of each rat were collected to test serum amylase and lipase activities,or to make hematoxylin - eosin stain for AP pathological scores as well as PKD1 immuno-histochemical staining,respectively. Results TargetScan 7. 1 software analysis showed that miR - 128 - 3p was the po-tential upstream regulatory miRNA of PKD1,which was verified by dual luciferase reporter gene system and Western blot detection. Compared to the normal control group,serum amylase and lipase activities after 6 h exposure to cerulein increased in both AP group and the treatment group[13313. 00(9424. 00 - 15995. 00)U/ L,13552. 00(10399. 50 -18408. 25)U/ L vs. 1430. 50(1214. 25 - 1543. 25)U/ L;547. 00 (515. 00 - 627. 00)U/ L,857. 50(522. 00 -1222. 25)U/ L vs. 34. 00(32. 50 - 34. 75)U/ L],and the differences were significant(χ2 = 8. 715,P < 0. 05;χ2 =9. 115,P < 0. 05),which indicated that the rat models of AP were successfully established. The immunohistochemical scores of PKD1 after 24 h exposure to cerulein decreased in the treatment group[0. 50(0 - 2. 75)scores],compared with the normal control group [4. 00(4. 00 - 8. 00)scores]and the AP group [4. 00(3. 75 - 8. 00)scores],and difference was significant(χ2 = 18. 302,P < 0. 05). Accordingly,the total pathological scores of HE staining decreased significantly in the treatment group,as compared to the AP group (3. 80 ± 0. 85 vs. 6. 90 ± 1. 15,t = 4. 481,P < 0. 01). The results showed that the inflammatory cell infiltration and tissue necrosis were significantly improved after miR -128 - 3p treatment. Conclusions miR - 128 - 3p is the upstream regulatory microRNA of PKD1 which protects pan-creata from necrotic injury and inflammatory cell infiltration in PKD1 - mediated acute pancreatitis.

Objective To set up a computer-assisted polyp detection system under colonoscopy,and to preliminarily verify its effectiveness.Methods Based on Faster R-CNN algorithm and the open source implementation of the open source framework tensorflow and Faster R-CNN,a computer-assisted polyp detection system under colonoscopy was constructed.According to the size and difficulty of the training set,five test groups were set up:test group one,two,three and four contained 1 000,2 000,4 000 and 6 000 training samples,respectively.Test group five increased the probability of selecting the difficult samples based on 6 000 training samples.In different training sets,the sensitivity,specificity,other classification evaluation parameters,and the evaluation parameters of target detection such as recall and precision of this polyps detection system were calculated.Results Classification evaluation parameters showed that the sensitivities of test group one,two,three,four and five were 90.1％,93.3％,93.3％,93.3 ％ and 93.5 ％,respectively,and the difference was statistically significant (x2 =25.324,P＜0.01).The sensitivities of test group two,three,four and five were all higher than that of test group one,and the differences were statistically significant (x2 =13.964,13.508,13.508 and 13.386,all P＜ 0.006 25).There were no significant differences in specificity and positive predictive value among test groups (both P＞0.05).The negative predictive values of test group one,two,three,four and five were 90.4％,93.3％,93.3％,93.3％ and 93.5％,respectively,and the differences were statistically significant (x2 =21.862,P＜0.01).The negative predictive values of test group two,three,four and five were higher than that of test group one,and the differences were statistically significant (x2=11.447,11.564,11.755,13.760;all P＜0.006 25).As the training sample size increased from 1 000 to 2 000,the area under curve (AUC) increased by 2％,and further increased the sample size to 6 000,AUC increased by less than 1 ％.At this point maintaining the same sample size while increasing the proportion of difficult samples,AUC increased by 0.4％.The results of evaluation parameters of target detection showed that the recall rate of each test group was 73.6％,79.8％,79.5％,79.8％ and 83.3％,respectively,and the differences were statistically significant (x2 =71.936,P＜0.01).Among them,the recall rates of test group two,three and four were higher than that of test group one,and the differences were statistically significant (x2 =25.960,23.492 and 25.960,all P＜0.006 25),and the recall rate of test group five was higher than those of test group one,two,three and four,and the differences were statistically significant (x2=67.361,9.899,11.527 and 9.899;all P＜0.006 25).In addition,the precision rates of test group one,two,three,four and five were 87.9％,85.3％,90.2％,91.4％ and 89.2％,respectively,and the difference was statistically significant (x2=48.194,P＜0.01).The precision rates of test group three and five were higher than that of test group two,and the differences were statistically significant (x2 =24.508 and 15.223,both P＜0.006 25),and the precision rate of test group four was higher than those of test group one and two,and the differences were statistically significant (x2=13.524 and 39.120,both P＜0.006 25).As samples size and training difficulty increased,the values of F1-score and mean average precision increased steadily.Conclusions This study initially constructed a computer-assisted polyp detection system under colonoscopy.Currently the maximum sensitivity reached 93.5％,and the maximum recall rate reached 83.3％.Increasing the training set size may improve the polyp detection result to a certain degree,however it will reach a bottleneck.At this time,increasing the training difficulty can further improve the detection scores,especially the recall rate.

OBJECTIVE To optimize the free examination, traceability, cost settlement and privacy protection during the development of pediatric drug clinical trials by means of information technology, so as to improve the efficiency and quality of project operation. METHODS Based on the existing hospital information system, multi department joint designed and implemented an information system for the settlement of the diagnosis and treatment expenses for drug clinical trial, which realized the real-time settlement of medical costs for drug clinical trials without the need for advance reimbursement of subjects' guardians. RESULTS This system took into account both cost and function, and had good feasibility. It could effectively improve the operation efficiency of drug clinical institutions, ensure the traceability of diagnosis and treatment data, and optimize the experience and privacy protection of child subjects. CONCLUSION The development and design of this system can effectively improve the operating efficiency of pediatric drug clinical trials, and has a good reference for other new record institutions to solve such problems.