Sentence examples for models generate similar from inspiring English sources

Corresponding linear probability models and fixed-effects models generate similar results.

Both models generate similar PF-induced IP3 activation profiles and long-time scale calcium activation profiles.

While initially, both models generate similar levels of neofunctionalization, with time model A begins to show significantly more neofunctionalization.

In previous collaborations, the models generated similar estimates of incidence and mortality [ 2, 24, 29].

Chromium decay was less accurately described by either second-order or first-order kinetics, with both models generating similar correlation coefficients (r = 0.59 and 0.58).

Simulations with both models generated similar results, supporting the utility of Dm (see supplementary material S2 for details of Slatkin's model, supplementary figs. S1 and S2 and table S1, Supplementary Material online).

By careful tuning of parameters, the ACC model generates similar stability characteristics as human driver models.

By careful tuning of parameters, the ACC model generates similar stability charac- teristics as human driver models.

The model generates similar values of the rheological properties of the studied materials regardless of whether they had been determined based on the results of the creep test or the compression stress relaxation test.

Furthermore, simulations made with a human thymic epithelial network using the same mathematical model generated similar profiles for temporal evolution of thymocyte developmental stages.

The model generates similar routes if the look-up table is limited to three snapshots.