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This work presents an approach to reliability calculations in performance-based design, using an importance sampling simulation, with performance functions evaluated by localized interpolation of a response database.
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Drug concentrations required to inhibit cell growth by 50% (IC50) were determined by interpolation of dose-response curves.
The DEM was produced by linear interpolation of contour data.
Interpolation involves Delaunay triangulation followed by linear interpolation of nuclear centers to the triangulation.
The IC50 was estimated by linear interpolation of the logarithmic transformed relative plating efficiencies.
Gaps in the data due to missing values were filled by linear interpolation of adjacent values.
Intermediate values were estimated by linear interpolation of the eight surrounding points.
We obtain an EFS curve for each therapy by linear interpolation of the EFS-rates.
The threshold crossing is determined by linear interpolation of the discrete samples given by the numerical integration.
The affected bins are then replaced by linear interpolation of the neighbouring bins of the same projection angle.
The concentrations of naringenin in samples were calculated by interpolation of the linear equation.
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