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Trends In Emissions Across The States Of Australia 1998-99 To 2007-08: A Shift-Share Analysis, Kankesu Jayanthakumaran, Ying Liu
Trends In Emissions Across The States Of Australia 1998-99 To 2007-08: A Shift-Share Analysis, Kankesu Jayanthakumaran, Ying Liu
Faculty of Commerce - Papers (Archive)
This paper reviews structural changes in emissions of sulphur dioxide (SO2), nitrogen oxide (NOx), carbon monoxide (CO) and particulate matter (PM) in eight Australian states and territories over the period 1998 to 1999 to 2007 to 2008. A shift-share analysis decomposes the changes of an emission between these two periods into parts ( a national-share component, an industry-mix component and a state-shift component) in order to account for the ecological competitiveness of the states and territories. The results suggest that the changes in state emissions have been substantial, and tend to reflect national, industry and regional policy changes.
Identification Of Serpina1 As Single Marker For Papillary Thyroid Carcinoma Through Microarray Meta Analysis And Quantification Of Its Discriminatory Power In Independent Validation, Klemens Vierlinger, Markus H. Mansfeld, Oskar Koperek, Christa Nöhammer, Klaus Kaserer, Friedrich Leisch
Identification Of Serpina1 As Single Marker For Papillary Thyroid Carcinoma Through Microarray Meta Analysis And Quantification Of Its Discriminatory Power In Independent Validation, Klemens Vierlinger, Markus H. Mansfeld, Oskar Koperek, Christa Nöhammer, Klaus Kaserer, Friedrich Leisch
Faculty of Commerce - Papers (Archive)
Background Several DNA microarray based expression signatures for the different clinically relevant thyroid tumor entities have been described over the past few years. However, reproducibility of these signatures is generally low, mainly due to study biases, small sample sizes and the highly multivariate nature of microarrays. While there are new technologies available for a more accurate high throughput expression analysis, we show that there is still a lot of information to be gained from data deposited in public microarray databases. In this study we were aiming (1) to identify potential markers for papillary thyroid carcinomas through meta analysis of public …