A new modeling and monitoring approach for multi-mode processes is proposed.The method of similarity measure(SM) and kernel principal component analysis(KPCA) are integrated to construct SM-KPCA monitoring scheme,wher...A new modeling and monitoring approach for multi-mode processes is proposed.The method of similarity measure(SM) and kernel principal component analysis(KPCA) are integrated to construct SM-KPCA monitoring scheme,where SM method serves as the separation of common subspace and specific subspace.Compared with the traditional methods,the main contributions of this work are:1) SM consisted of two measures of distance and angle to accommodate process characters.The different monitoring effect involves putting on the different weight,which would simplify the monitoring model structure and enhance its reliability and robustness.2) The proposed method can be used to find faults by the common space and judge which mode the fault belongs to by the specific subspace.Results of algorithm analysis and fault detection experiments indicate the validity and practicability of the presented method.展开更多
OBJECTIVE To investigate the expressions of cyclooxygenase 2 （COX-2） and human epidermal growth factor receptor-2 （HER-2） in non-small cell lung cancer （NSCLC） and their clinical significance in identifying the ...OBJECTIVE To investigate the expressions of cyclooxygenase 2 （COX-2） and human epidermal growth factor receptor-2 （HER-2） in non-small cell lung cancer （NSCLC） and their clinical significance in identifying the progression and prognosis of the NSCLC patients. METHODS Immunohistochemical indirect method was used to detect the expressions of the COX-2 and HER-2 protein in 54 NSCLC specimens, 16 paraneoplastic specimens, and 10 normal tissue specimens. RESULTS The positive rates of COX-2 and HER-2 protein expressions were respectively 75.9% and 40.7% in the NSCLC specimens, 25% and 12.5% in the paraneoplastic specimens, and 0 in the normal tissue. The COX-2 protein expression in lung cancer （LC） was not only related to the smoking habit of the patients and histological grades of LC, but also to the TNM stages, and lymphatic metastasis （P 〈 0.05）. HER-2 protein expression closely correlated to the pathologic types, histological grades, TNM stages, and lymphatic metastasis （P 〈 0.05）. The result of univariate analysis showed that all the histological grades, TNM stages, lymphatic metastasis, and expressions of COX-2/HER-2 correlated to the prognosis of NSCLC patients （mean of P value 〈 0.01）. The multivariate survival analysis indicated that there were signi.cant di.erences in comparison of the survival time between the COX-2 （＋＋/＋＋＋） /HER-2 （＋＋/＋＋＋） and the COX-2 （-/＋）/HER-2 （-/＋） groups （P〈 0.001）, suggesting the COX-2/HER-2 was a negative prognostic factor. CONCLUSION COX-2 and HER-2 are valuable in identifying the progression of NSCLC and predicting the prognosis of NSCLC patients. COX-2 and HER-2 are useful for judging the NSCLC patient＇s condition, and are of great value to the decision of NSCLC prognosis.展开更多
基金Projects(61273163,61325015,61304121)supported by the National Natural Science Foundation of China
文摘A new modeling and monitoring approach for multi-mode processes is proposed.The method of similarity measure(SM) and kernel principal component analysis(KPCA) are integrated to construct SM-KPCA monitoring scheme,where SM method serves as the separation of common subspace and specific subspace.Compared with the traditional methods,the main contributions of this work are:1) SM consisted of two measures of distance and angle to accommodate process characters.The different monitoring effect involves putting on the different weight,which would simplify the monitoring model structure and enhance its reliability and robustness.2) The proposed method can be used to find faults by the common space and judge which mode the fault belongs to by the specific subspace.Results of algorithm analysis and fault detection experiments indicate the validity and practicability of the presented method.
文摘OBJECTIVE To investigate the expressions of cyclooxygenase 2 （COX-2） and human epidermal growth factor receptor-2 （HER-2） in non-small cell lung cancer （NSCLC） and their clinical significance in identifying the progression and prognosis of the NSCLC patients. METHODS Immunohistochemical indirect method was used to detect the expressions of the COX-2 and HER-2 protein in 54 NSCLC specimens, 16 paraneoplastic specimens, and 10 normal tissue specimens. RESULTS The positive rates of COX-2 and HER-2 protein expressions were respectively 75.9% and 40.7% in the NSCLC specimens, 25% and 12.5% in the paraneoplastic specimens, and 0 in the normal tissue. The COX-2 protein expression in lung cancer （LC） was not only related to the smoking habit of the patients and histological grades of LC, but also to the TNM stages, and lymphatic metastasis （P 〈 0.05）. HER-2 protein expression closely correlated to the pathologic types, histological grades, TNM stages, and lymphatic metastasis （P 〈 0.05）. The result of univariate analysis showed that all the histological grades, TNM stages, lymphatic metastasis, and expressions of COX-2/HER-2 correlated to the prognosis of NSCLC patients （mean of P value 〈 0.01）. The multivariate survival analysis indicated that there were signi.cant di.erences in comparison of the survival time between the COX-2 （＋＋/＋＋＋） /HER-2 （＋＋/＋＋＋） and the COX-2 （-/＋）/HER-2 （-/＋） groups （P〈 0.001）, suggesting the COX-2/HER-2 was a negative prognostic factor. CONCLUSION COX-2 and HER-2 are valuable in identifying the progression of NSCLC and predicting the prognosis of NSCLC patients. COX-2 and HER-2 are useful for judging the NSCLC patient＇s condition, and are of great value to the decision of NSCLC prognosis.
