Sentence examples for model with sources from inspiring English sources

We also examined the model with sources at depths of 5 km and 10 km as proposed by Hidayati et al. (2007); however, the residuals increased.

To establish a stochastic model with sources of both intrinsic and extrinsic noises, we employ the stochastic model with intrinsic noise, implemented by modified Gillespie SSA method as described above, while generating random abundances of CC protein and/or IAP protein.

If s = 2, then the capacity of the erasure sub-channel is C e = 2 ( 1 − p ). (5) Figure 6 Channel model with source codes with side information.

Here, blood and source concentrations are related at the individual level through the deterministic model, with source and error parameter values for each individual arising independently from population-level distributions.

With parameters described in Table 1, the dynamics of the mean-field model can be mathematically expressed by the following system of differential equations: (1) Baseline values of the parameters used for simulations of the models with sources from published literature.

The source probe scan map showed no consistent changes in the shape of source activity over 10 repeated laser stimuli leading us to accept the five-dipole source model with one source dipole modeling the cortical activity in the left operculo-insular cortex.

The winning model, c3, with sources in the left and right OCC, vOT, and IFG was used as the spatial model for this analysis.

Therefore, the equations to be solved are a coupled system composed of two Shallow Water models with source terms involving depth and breadth functions.

The multidimensional harmonic retrieval model with known sources is considered herein, and thus, the parameter vector is given by (18).

The model with PM2.5 sources and O3 shown in Table 6 shows O3 to be a risk factor increasing the likelihood of wheeze by 8% (p = 0.08), but this model includes data from all children living in New Haven regardless of maintenance medication status.

This suggests that the secondary factors which were modeled, dealt with sources of variability unrelated to the primary factor.