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PRC applies the inverse Legendre transform to linearize the system.
This application of the inverse Legendre transform to linearize a reaction system was introduced by Alberty (1991) and Alberty and Goldberg (1992), but to our knowledge was implemented only for a small set of reaction measurements.
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Whenever relationships between two traits or more were investigated, all variables were log transformed to linearize the relationship.
Global normalize values were LOG-transformed to linearize the data and a heat map was created using TIGR MultiExperiment Viewer (MeV) [ 40].
We conducted natural log transformations to linearize the data.
FST distances were transformed to Slatkin linearized form and visualized by non-metric multidimensional scaling (MDS) using PROXSCAL included in the SPSS 10.0 software (SPSS Inc, Chicago, IL, USA).
The PaO2 was measured at the time of the CT and transformed logarithmically (lnPaO2) to linearize the relation between PaO2 and % Vnon.
For characterizing the relationship between the protein abundance and the length of pre-AUG AN, the protein abundance was log transformed to stabilize the variance and to linearize the relationship.
Since the short circuit currents have strong nonlinearity, the model needs to be linearized in order to be efficiently solved, i.e., the MINLP will be transformed to MILP after linearization.
FR values were log transformed prior to the correlation analysis to linearize the data.
To remedy this difficulty, based on the linearization technique a novel PF framework is suggested, and we show in particular how to linearize the involved nonlinearity transform in the formulated discrete dynamic state-space modeling (DSM).
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