Abstract: A method and apparatus for data analysis according to various aspects of the present invention is configured to automatically identify a characteristic of a component fabrication process guided by characteristics of the test data for the components.

Abstract: A method and apparatus for data analysis according to various aspects of the present invention is configured to automatically select one or more outlier identification algorithms for identifying statistical outliers in test data for components.

Abstract: The invention discloses cathepsin S as a suitable target for the development of new therapeutics to treat or ameliorate chronic pain. The invention relates to methods to treat and/or ameliorate chronic pain and pharmaceutical compositions therefor comprising modulators with inhibitory effect on cathepsin S enzyme activity and/or cathepsin S gene expression. The invention also relates to a method to identify compounds with therapeutic usefulness to treat chronic pain, comprising identifying compounds that can inhibit cathepsin S activity and/or gene expression which can also reverse the pathological effects of chronic pain in vivo.

Abstract: Novel vectors are disclosed for use in filamentous fungi such as Aspergillus sp. in particular, whereby protein coding regions may be inserted therein to achieve expression or expression followed by secretion of the coded protein from the host. Signal peptide sequences and promoter sequences valuable for this purpose are disclosed as are expression vectors containing coding regions native or foreign to the fungal host. In accordance with the invention, a filamentous fungus such as Aspergillus may be provided with foreign or natural coding regions associated with foreign or natural promoter sequences and optionally signal peptide sequences which can be used to control the expression and/or secretion of the proteins encoded by these coding regions.