Sentence examples for uniform simulation from inspiring English sources

This Au nanoarray is the sample in Figure 2b, which is similar to the uniform simulation model of Figure 3, and the time-resolved PL spectra of QDs with emission peak located at 790 nm on the Au nanoarray can be found in Additional file 1: Figure S5.

We call this one "uniform" simulation.

The solution from the adaptive simulation is in very good agreement with that from the uniform simulation.

Though it is only half as large under the uniform AGI simulation (Simulation III), the coefficient is still significant at the one percent level.

For both the mean-matched uniform noise simulation and the range-matched uniform noise simulation, the random microscopic behavior was defined as having a linearly uniform spectrum density.

The simulations last foresultsecobtained all connections start at sometime betwith 25th anonuniformconds and end atraffictime between 125th and 150th seconds.

The difference is seen after 1 month 18 October 19266) where the spatially uniform wind simulation HGU has 1.25 kmoreore inundation than HGVL with spatially variable wind.

The results obtAsned with noneniform trapparenttterns are quite similar to the uniform traffic simulation results andifferencenterpreted with similar reasoning.

We note that the total number of cells is still half of the total number of cells in the corresponding high-resolution uniform grid simulation ((512 thuss512)), thus resulting in a direct reduction of computational cost.

For the range-matched uniform noise simulation, the assumption of a linearly uniform spectrum density meant that each hypothetical subject produced a keypress range that was the same as their matched real subject, with a distribution that was uniform across this range.

For the mean-matched uniform noise simulation, this meant that each hypothetical subject produced keypress results within the range of the 95% confidence interval of their matched real experimental subject; for some subjects, the lower limit of the confidence interval would be below zero, in which case the theoretical values below zero would be considered to be zero.