Abstract: In an embodiment, the invention provides an isolated population of exosomes comprising interleukin-27 (IL-27) or interleukin-35 (IL-35). In an embodiment, the invention also provides a method of preparing a population of exosomes comprising interleukin-27 (IL-27), the method comprising: (a) isolating CD19+B2 cells or B1a cells; (b) activating the isolated cells with a LPS or a BCR agonist to provide activated cells; and (c) isolating exosomes secreted from the activated cells. In an embodiment, the invention also provides a method of preparing a population of exosomes comprising interleukin-35 (IL-35), the method comprising: (a) isolating CD138+plasma cells; (b) activating the isolated cells with a LPS or a BCR agonist to provide activated cells; and (c) isolating exosomes secreted from the activated cells. Additional embodiments of the invention are as described.

Abstract: Process control during manufacture of semiconductor devices by collecting scatterometric spectra of a FinFET reference fin structure on a reference semiconductor wafer at a first checkpoint proximate to a first processing step during fabrication of the reference semiconductor wafer, collecting reference measurements of the reference fin structure at a second checkpoint proximate to a second processing step subsequent to the first checkpoint, and performing machine learning to identify correspondence between the scatterometric spectra and values based on the reference measurements and train a prediction model for producing a prediction value associated with a corresponding production fin structure of the FinFET on a production semiconductor wafer based on scatterometric spectra of the production fin structure collected at the corresponding first checkpoint during fabrication of the production semiconductor wafer.