BJ130和212转向机生产多年,其啮合特性一直达不到部标 JB2957-81的规定,即“中间位置无间隙,两边不等间隙”的啮合要求。为了继续利用现有专机和工装,以及装车的通用性,在转向器壳体中心距保持不变和不降低效率指标的条件下,考虑采用”...BJ130和212转向机生产多年,其啮合特性一直达不到部标 JB2957-81的规定,即“中间位置无间隙,两边不等间隙”的啮合要求。为了继续利用现有专机和工装,以及装车的通用性,在转向器壳体中心距保持不变和不降低效率指标的条件下,考虑采用”修正扇齿法”即扇齿偏心法以达到部标要求,参看图1。首先计算确定其偏心量 e 为0.4mm。展开更多
AIM:To detect the expression of 60 microRNAs(miRNAs)in gastric cancer tissues and find new predictive biomarkers of gastric cancer with metastasis.METHODS:The expressions of 60 candidate miRNAs in 30 gastric cancer ti...AIM:To detect the expression of 60 microRNAs(miRNAs)in gastric cancer tissues and find new predictive biomarkers of gastric cancer with metastasis.METHODS:The expressions of 60 candidate miRNAs in 30 gastric cancer tissues and paired normal tissues were detected by stem-loop real-time reverse transcription-polymerase chain reaction.After primary screening of miRNAs expression,5 selected miRNAs were further testified in another 22 paired gastric tissues.Based on the expression level of miRNAs and the status of metastasis to lymph node(LN),receiver-operating-characteristic(ROC)curve were used to evaluate their ability in predicting the status of metastasis to LN.RESULTS:Thirty-eight miRNAs expressions in gastric cancer tissues were significantly different from those in paired normal tissues(P<0.01).Among them,31miRNAs were found to be up-expressed in cancer tissues and 1 miRNAs were down-expressed≥1.5 fold vs paired normal gastric tissue.Five microRNAs(miR-125a-3p,miR-133b,miR-143,miR-195 and miR-212)were differently expressed between different metastatic groups in 30 gastric cancer biopsies(P<0.05).Partial correlation analysis showed that hsa-mir-212 and hsa-mir-195 were correlated with the status of metastasis to LN in spite of age,gender,tumor location,tumor size,depth of invasion and cell differentiation.ROC analysis indicated that miR-212 and miR-195 have better sensi-tivities(84.6%and 69.2%,respectively)and specifici-ties(both 100%)in distinguishing biopsies with metastasis to LN from biopsies without metastasis to LN.CONCLUSION:miR-212 and miR-195 could be independent biomarkers in predicting the gastric cancer with metastasis to LN.展开更多
文摘BJ130和212转向机生产多年,其啮合特性一直达不到部标 JB2957-81的规定,即“中间位置无间隙,两边不等间隙”的啮合要求。为了继续利用现有专机和工装,以及装车的通用性,在转向器壳体中心距保持不变和不降低效率指标的条件下,考虑采用”修正扇齿法”即扇齿偏心法以达到部标要求,参看图1。首先计算确定其偏心量 e 为0.4mm。
基金Supportedby Nature Science Foundation of Zhejiang Province No. Y2080978Wenzhou Science and Technology Bureau No. H20100028 and No. Y20070067
文摘AIM:To detect the expression of 60 microRNAs(miRNAs)in gastric cancer tissues and find new predictive biomarkers of gastric cancer with metastasis.METHODS:The expressions of 60 candidate miRNAs in 30 gastric cancer tissues and paired normal tissues were detected by stem-loop real-time reverse transcription-polymerase chain reaction.After primary screening of miRNAs expression,5 selected miRNAs were further testified in another 22 paired gastric tissues.Based on the expression level of miRNAs and the status of metastasis to lymph node(LN),receiver-operating-characteristic(ROC)curve were used to evaluate their ability in predicting the status of metastasis to LN.RESULTS:Thirty-eight miRNAs expressions in gastric cancer tissues were significantly different from those in paired normal tissues(P<0.01).Among them,31miRNAs were found to be up-expressed in cancer tissues and 1 miRNAs were down-expressed≥1.5 fold vs paired normal gastric tissue.Five microRNAs(miR-125a-3p,miR-133b,miR-143,miR-195 and miR-212)were differently expressed between different metastatic groups in 30 gastric cancer biopsies(P<0.05).Partial correlation analysis showed that hsa-mir-212 and hsa-mir-195 were correlated with the status of metastasis to LN in spite of age,gender,tumor location,tumor size,depth of invasion and cell differentiation.ROC analysis indicated that miR-212 and miR-195 have better sensi-tivities(84.6%and 69.2%,respectively)and specifici-ties(both 100%)in distinguishing biopsies with metastasis to LN from biopsies without metastasis to LN.CONCLUSION:miR-212 and miR-195 could be independent biomarkers in predicting the gastric cancer with metastasis to LN.
