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Key parameters influencing growth and PHB content in Synechocystis sp. PCC 6714 were identified using a multivariate design of experiments.
In addition, suitable strategies for performing multivariate design are presented and discussed.
The multivariate design enables behavioral profiling in one and the same test situation.
The flow and chemical variables of the proposed system were optimized through multivariate design.
Thereby, a one-factorial multivariate design was used (computer-controlled vs. human-controlled opponent).
To study the development of smoking behavior in adolescents using a longitudinal, multivariate design.
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to multivariate designs.
Flow and chemical variables of the proposed system were optimized through multivariate designs.
Several parameters affecting both extraction and thermal desorption of the SBSE stages were carefully optimized by multivariate designs.
Several parameters affecting both the headspace extraction and thermal desorption steps were carefully optimized using multivariate designs.
Several parameters affecting enzymatic hydrolysis, derivatization by in-situ acetylation and the DLLME stages were carefully optimized by means of multivariate designs.
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