Sentence examples for model we imposed from inspiring English sources

Although researchers mentioned above tried to determine water value, the advantage of this study over the other researches in this field is that in our model, we imposed water deficit and other limitations, and the value of irrigation water was determined for different crops during each month.

By measuring the end-to-end distance between every pair of nucleotides separated by N w nt along the ssDNA in the structural model, we imposed a lower and upper bound on x SSB at each force F. This refined range of possible N w restricts our observed wrapping intermediates to four bands centered around N w = ∼65, 50 60, 30 40, and 10 20 nt.

Thus, in order to achieve a more interpretable model we impose a weak prior on global locations.

In this null model, we impose the same mean K, C p and p-bias, but the distribution of p-biases is not imposed (how the p-bias of each function is set is described below for both null models).

For the null model, we impose the restriction that αA = αB and βA = βB, such that both alleles are considered to be sampled from the same distribution (no allele-specific effect).

If these constraints are not met by the form of the regression models, we impose them through the optimization procedure via non-linear constraints on the coefficients.

Moreover, in order to keep the basic characteristics of the birhythmic behavior shown in Model 2, we imposed the following constraints on the parameters values of Model 3 (see Table S4 and Text S5 for more details): constraint (1): the transition graph of Model 3 contains the sequence of transitions corresponding to the two oscillatory regimes in Model 2 (Figures 5 and 7).

Concerning the artificial boundaries of the whole grid (model space), we impose again simple conditions.

To reproduce complex connectivity patterns during model calibration, we impose a geologic feasibility constraint that ensures the solution honors the expected higher-order spatial statistics.

To complete the model formulation, we impose a 'zero-flux' of cells across the brain boundaries defined by cerebrospinal fluid in the ventricular and subarachnoid space.

To these null model networks, we impose the same mean K as the inferred core network, but connections are placed randomly (for each connection placed, both input and output are randomly chosen from all nodes).