Objective To investigate the efficiency of interventional treatment and intramuscular injection of methotrexate for the treatment uterine scar pregnancy.Methods 22 patients with uterine scar pregnancy were divided into two groups,group A (n =12),transvaginal color Doppler ultrasound to guide percutaneous interventional treatment;group B( n =10) intramuscular injection of methotrexate treatment.Mass size and β-HCG preoperation and 4 days,7 days,1 month postoperation were evalutaed respectively.Results The cure rate of interventional treatment and intramuscular injection of methotrexate for the treatment uterine scar pregnancy were 83.3％ and 40.0％ respectively.And the difference was statistically significant ( P ＜ 0.05 ).Conclusion Compared with intramuscular methotrexate treatment of uterine scar pregnancy,guided by vaginal ultrasonography involved the injection of methotrexate is more effective and have important clinical significance.

Objective: To extract the relevant SNPs for alcoholism using sib-pair IBD profiles of pedigrees.Methods: We used the ensemble decision approach, a supervised learning approach based on decision forests, to locate alcoholism relevant SNPs using genome-wide SNP data. Results: Application to a publicly available large dataset of 100 simulated replicates for three American populations (http://www.gaworkshop.org/) demonstrates that the proposed approach has successfully located all of the simulated true loci.Conclusion: The numerical results establish the proposed decision forest analysis to be a powerful and practical alternative for large-scale family-based association study.

BACKGROUND: How to effectively and rapidly induce the osteogenic differentiation of human umbilical cord mesenchymal stem cells is the focus of the current stem cell research. Increasing evidence has demonstrated some growth factors, such as bone morphogenetic protein-2, have important effects on the transdifferentiation of umbilical cord mesenchymal stem cels into osteoblasts in vitro. However, widespread use of growth factors is limited because of high cost. Insulin is widely used in the cell culture and induction, but there is no report about the effect of insulin on the osteogenic differentiation of human umbilical cord mesenchymal stem cells. OBJECTIVE:To observe the effect of insulin on osteogenic differentiation of human umbilical cord mesenchymal stem cels and to explore the feasibility of human umbilical cord mesenchymal stem cell transplantation in the treatment of diabetic delayed fracture healing. METHODS:The passage 3 human umbilical cord mesenchymal stem cells were inoculated in two flasks, denoted as experimental group and control group. The insulin (10-7mmol/L) was added to the experimental group but not to the control group. The proliferative capacity of human umbilical cord mesenchymal stem cels was evaluated by cell count kit-8 and alkaline phosphatase activity. The osteogenic differentiation capacity of human umbilical cord mesenchymal stem cells was evaluated by measuring the protein and mRNA expressions of type I colagen as well as osteocalcin mRNA level. RESULTS AND CONCLUSION: After 1-2 weeks of induction, compared with the control group, insulin could significantly increase the number of human umbilical cord mesenchymal stem cells in the experimental group, the activity of alkaline phosphatase and expressions of type I collagen osteocalcin mRNA (P< 0.05). These data indicate that insulin can promote the proliferation and osteogenic differentiation of human umbilical cord mesenchymal stem cells.

ObjectiveTo propose a three-degree-of-freedom model of electric wheelchair, to optimize the steering stability of the wheelchair. MethodsBased on the two degrees of freedom vehicle model and considering the influence of body inertia and lateral wind, the wheelchair roll angle was introduced to establish the three degrees of freedom steering model of wheelchair. The lateral velocity, centroid sideslip angle, yaw rate and body roll angle response of the motor angular velocity input under different working conditions were simulated and analyzed respectively. Taking KS2 electric wheelchair as an example, the wheelchair steering experiment was designed to verify the rationality and feasibility of the model, and the optimization effect of the model algorithm on the wheelchair handling and stability. ResultsThe maneuverability and stability of the electric wheelchair with three degrees of freedom model algorithm were significantly improved, and the response curve was smoother. The smaller the |V_L-V_R|/t was, the better the handling stability was when the left and right motors of the wheelchair had the same steering direction. When |V_L-V_R|/t was the same, the steering maneuverability was better on the reverse rotation of the motor, but the handling stability also decreased. ConclusionThe simulation analysis is in good agreement with the experimental results, which verifies that the model is reasonable and feasible. The model algorithm can better optimize the handling stability of electric wheelchairs, and can be generally applied to study and analyze the handling stability of different wheelchairs when they turn.

Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.