Research on Simplified Calculation Method of Coupled Vibration of Vehicle-Bridge System

A modified moving loads’ model is proposed for the vehicle-bridge coupling vibration simulation. Taking the vehicle-bridge interaction model (VBI) as the reference, the accuracy and applicability of the three calculation models, namely, moving loads’ model, moving mass model, and spring-damper-mass model, are compared using the frequently-used railway simply-supported beam with a span of 32 meters as the research object. Influencing factors such as vehicle speed, mass ratio of vehicle and beam, and primary spring stiffness on the dynamic response of the vehicle-bridge system are discussed in detail. The results show that the moving load model has the best performance on the stability of the deviation rate, but its calculation results are smaller than the other two methods as well as the VBI. The values of the deviation rate for the moving mass model and the spring-damper-mass model are large, and the stability of those are insufficient in the range of 80%∼120% of the first resonance velocity. Except for that, the results of the two models are in good agreement with the VBI model. According to above analysis, a modified moving loads’ model with two amplification coefficients, namely, 1.10 for the range of 90%∼105% of the first resonance velocity and 1.05 for other velocities, are proposed, which has higher calculation efficiency and accuracy

Expression of CD82/KAI1 and HIF-1α in Non-small Cell Lung Cancer and Their Relationship to Vasculogenic Mimicry

Background and objective Vasculogenic mimicry (VM), found in many high invasive ability tumors, is associated with tumor invasion and metastasis. Many genes exhibit abnormal levels of expression in these tumors. This study aims to find good markers for predicting the invasion and metastasis of non-small cell lung cancer (NSCLC). Methods VM and expression of CD82/KAI1 and HIF-1α were examined via immunohistochemistry and histochemistry of 160 NSCLC and 20 normal lung tissue specimens. Results In NSCLC, positive rates of 37.5%, 48.8%, and 36.9% were obtained for CD82/KAI1, HIF-1α, and VM, respectively. In normal lung tissue, positive rates of 95.0%, 0, and 0 were obtained for CD82/KAI1, HIF-1α, and VM, respectively. A significant difference was found between the NSCLC and normal lung groups (P<0.01). VM and the expression levels of CD82/KAI1 and HIF-1α were significantly related to tumor differentiation, lymph node metastasis, clinical staging, and postoperative survival time (P<0.01 for all). A negative correlation was found between the expression levels of CD82/KAI1 and HIF-1α; a similar relationship was observed between CD82/KAI1 and VM. A positive relationship between the expression of HIF-1α and VM was revealed; there was a significant relationship between microvessel density (MVD) and the expression of CD82/KAI1 or HIF-1α or VM. VM and overexpression of HIF-1α were related to poor prognosis: the survival rates were significantly lower in positive patients than in negative patients (both P<0.01). The survival rates of the CD82/KAI1-positive and CD82/KAI1-negative groups were significantly different (P<0.01). The five-year survival rate was significantly different between the group with MVD≥22 and the group with MVD<22 (P<0.01). pTNM stage, positive expressions of CD82/KAI1 and HIF-1α, and VM were independent prognostic factors of NSCLC (P<0.01). Conclusion VM and the expressions of CD82/KAI1 and HIF-1α in NSCLC are related to differentiation, lymph node metastasis, clinical staging, and prognosis. The combined detection of CD82/KAI1, HIF-1α, and VM has an important role in predicting the progression and prognosis of NSCLC

Relationship among the Expression of Lymphatic Vessel Density, Microvessel Density, Carcinoembryonic Antigenic mRNA, KAI1, and Kiss-1, and Prognosis in Patients with Non-small Cell Lung Cancer

Background and objective In recent years, many studies have revealed the prognosis in patients with non-small cell lung cancer (NSCLC). In general, some clinic-pathological parameters have been related with prognosis. The aim of this study is to detect the relationship among lymphatic vessel density (LVD), microvessel density (MVD), expression of carcinoembryonic antigen (CEA) mRNA, metastasis suppressor genes (KAI1 and Kiss-1), and the prognosis of NSCLC patients. Methods Blood samples were collected from 57 cases of NSCLC. The transcription of CEA mRNA was detected via nested reverse transcriptase-polymerase chain reaction and micro-fluid chip. Immunohistochemistry was performed to detect the expression of LVD, MVD, KAI1 and Kiss-1 in the patients. All follow-up data were collected and analyzed. Results The overall five-year survival rate was 18%, and the median survival was 34 months. TNM stage, lymph node metastasis, and expression of MVD, LVD, CEA mRNA and Kiss-1 were factors to survival, as determined via single survival analysis. Multivariate analysis demonstrated that TNM stage, lymph node metastasis, and expression of CEA mRNA were independent prognostic factors for NSCLC patients. Conclusion The expression of MVD, LVD, Kiss-1 and CEA mRNA is related to the prognosis of NSCLC

Aberrant expression of CD133 in non-small cell lung cancer and its relationship to vasculogenic mimicry

Abstract Background To investigate on expressions and clinical significances of CD133 protein and vasculogenic mimicry (VM) in primary non-small cell lung cancer (NSCLC). Methods The specimens of NSCLC from 305 Chinese patients with follow-up were analyzed for CD133 protein expression and VM by immunohistochemical and histochemical staining. Results In NSCLC, positive rates of 48.9% and 35.7% were obtained for CD133 and VM, respectively. The VM and expression of CD133 were significantly higher in carcinoma than in normal. There were a positive relationship between the VM and expression of CD133 and the tumor grade, lymph node metastasis and clinical stage (all P Conclusions VM, MVD and expression of CD133 are related to differentiation, lymph node metastasis, clinical stage, and prognosis. It is suggested that CD133, VM and MVD should be considered as a potential marker for the prognosis.</p