On November 2,the ASEAN Secretariat announced that six ASEAN members(Brunei,Cambodia,Laos,Singapore,Thailand,and Vietnam)and four non-ASEAN members(China,Japan,New Zealand,and Australia)had submitted Instruments of Ra...On November 2,the ASEAN Secretariat announced that six ASEAN members(Brunei,Cambodia,Laos,Singapore,Thailand,and Vietnam)and four non-ASEAN members(China,Japan,New Zealand,and Australia)had submitted Instruments of Ratification/Acceptance(IOR/A)of the Regional Comprehensive Economic Partnership(RCEP)agreement,thus reaching the minimum number of IOR/A for the entry into force of the free trade agreement(FTA).展开更多
A surface-enhanced Raman spectroscopy (SERS) method combined with multivariate analysis was developed for non-invasive gastric cancer detection. SERS measurements were performed on two groups of blood plasma samples: ...A surface-enhanced Raman spectroscopy (SERS) method combined with multivariate analysis was developed for non-invasive gastric cancer detection. SERS measurements were performed on two groups of blood plasma samples: one group from 32 gastric patients and the other group from 33 healthy volunteers. Tentative assignments of the Raman bands in the measured SERS spectra suggest interesting cancer-specific biomolecular changes, including an increase in the relative amounts of nucleic acid, collagen, phospholipids and phenylalanine and a decrease in the percentage of amino acids and saccharide in the blood plasma of gastric cancer patients as compared with those of healthy subjects. Principal components analysis (PCA) and linear discriminant analysis (LDA) were employed to develop effective diagnostic algorithms for classification of SERS spectra between normal and cancer plasma with high sensitivity (79.5%) and specificity (91%). A receiver operating characteristic (ROC) curve was employed to assess the accuracy of diagnostic algorithms based on PCA-LDA. The results from this exploratory study demonstrate that SERS plasma analysis combined with PCA-LDA has tremendous potential for the non-invasive detection of gastric cancers.展开更多
Background:Network analyses have been widely utilized to evaluate large datasets,but have not yet been used to explore factors associated with risk behaviours.In combination with traditional regression analysis,networ...Background:Network analyses have been widely utilized to evaluate large datasets,but have not yet been used to explore factors associated with risk behaviours.In combination with traditional regression analysis,network analyses may provide useful information and highlight key factors for reducing needle sharing behaviours among people who inject drugs(PWID).Methods:Sociodemographic data,and information on injection behaviour and sexual practices were collected from a cross-sectional survey that was conducted with PWID in five prefectures of Yunnan province,China.A combination of logistic regression and correlation network analyses were used to explore key factors for reducing needle-sharing behaviours among PWID.Results:In a total of 1049 PWID,37.5%had a history of needle or syringe sharing.The logistic analysis showed that Zhaotong,Qujing,Dehong,or Lincang residents,diazepam use,longer injection duration,needle reuse,and infection with HIV,viral hepatitis,tuberculosis and/or malaria were independently associated with needle sharing.The correlation network analyses showed that,compared to PWID who had never shared needles,PWID who did share needles would achieve harm reduction goals faster and more permanently.HIV serostatus and marital status were found to be closely associated with other risk factors.By combining regression analyses with network analyses,it was shown that PWID who are HIV seropositive will be an ideal target group for harm reduction programs.Conclusion:Needle-sharing behaviours are common among PWID in Yunnan,and harm reduction programs may help PWID who are HIV seropositive reduce risk behaviours and prevent blood borne diseases.展开更多
文摘On November 2,the ASEAN Secretariat announced that six ASEAN members(Brunei,Cambodia,Laos,Singapore,Thailand,and Vietnam)and four non-ASEAN members(China,Japan,New Zealand,and Australia)had submitted Instruments of Ratification/Acceptance(IOR/A)of the Regional Comprehensive Economic Partnership(RCEP)agreement,thus reaching the minimum number of IOR/A for the entry into force of the free trade agreement(FTA).
基金supported by the National Natural Science Foundation of China (Grant Nos. 60778046 and 60910106016)the Project of Fujian Province (Grant Nos. 2009J01276 and 2008I0015)
文摘A surface-enhanced Raman spectroscopy (SERS) method combined with multivariate analysis was developed for non-invasive gastric cancer detection. SERS measurements were performed on two groups of blood plasma samples: one group from 32 gastric patients and the other group from 33 healthy volunteers. Tentative assignments of the Raman bands in the measured SERS spectra suggest interesting cancer-specific biomolecular changes, including an increase in the relative amounts of nucleic acid, collagen, phospholipids and phenylalanine and a decrease in the percentage of amino acids and saccharide in the blood plasma of gastric cancer patients as compared with those of healthy subjects. Principal components analysis (PCA) and linear discriminant analysis (LDA) were employed to develop effective diagnostic algorithms for classification of SERS spectra between normal and cancer plasma with high sensitivity (79.5%) and specificity (91%). A receiver operating characteristic (ROC) curve was employed to assess the accuracy of diagnostic algorithms based on PCA-LDA. The results from this exploratory study demonstrate that SERS plasma analysis combined with PCA-LDA has tremendous potential for the non-invasive detection of gastric cancers.
基金supported in part by grants from the National Natural Science Foundation of China(81271892,U1302224,U1202228)the Key Scientific and Technological Program of China(2012ZX10001-006,2012ZX10001-007)。
文摘Background:Network analyses have been widely utilized to evaluate large datasets,but have not yet been used to explore factors associated with risk behaviours.In combination with traditional regression analysis,network analyses may provide useful information and highlight key factors for reducing needle sharing behaviours among people who inject drugs(PWID).Methods:Sociodemographic data,and information on injection behaviour and sexual practices were collected from a cross-sectional survey that was conducted with PWID in five prefectures of Yunnan province,China.A combination of logistic regression and correlation network analyses were used to explore key factors for reducing needle-sharing behaviours among PWID.Results:In a total of 1049 PWID,37.5%had a history of needle or syringe sharing.The logistic analysis showed that Zhaotong,Qujing,Dehong,or Lincang residents,diazepam use,longer injection duration,needle reuse,and infection with HIV,viral hepatitis,tuberculosis and/or malaria were independently associated with needle sharing.The correlation network analyses showed that,compared to PWID who had never shared needles,PWID who did share needles would achieve harm reduction goals faster and more permanently.HIV serostatus and marital status were found to be closely associated with other risk factors.By combining regression analyses with network analyses,it was shown that PWID who are HIV seropositive will be an ideal target group for harm reduction programs.Conclusion:Needle-sharing behaviours are common among PWID in Yunnan,and harm reduction programs may help PWID who are HIV seropositive reduce risk behaviours and prevent blood borne diseases.
