Sentence examples for compared to k from inspiring English sources

Higher values of k id1 as compared to k id2 for Cr3+, Ni2+ and Zn2+ ions at all given temperature indicated the rapid boundary layer diffusion (phase 1) that was followed by a slow intraparticle diffusion (phase 2).

The characteristic equilibration rate in the fast-equilibrating regions can be approximated by k 1 which, even for the hypo-perfused PDAC tumours studied in this work, was fast compared to k b and k eq. The population average of the tumour-scale k 1 values was ∼ 0.3 min −1 [16].

The different behavior for k 0 L = π / 4 compared to k 0 L = π / 2 can be traced to a difference in the structure of the poles of the single photon Green function (see, e.g., the discussion in Ref. [17]).

The parasite is the fastest of the four types in replication, with k p  = 9.0 (compared to k 1  = 3.0, k 2  = 5.0 and k 3  = 7.0 of the cooperating types).

If the former condition is satisfied but the latter is not, k f depends on the P∗ → P deactivation rate constant kPD, becoming increasingly smaller as kPD diminishes compared to k r∗; the stable product P is increasingly difficult to form.

Sequoia tested at 16.32 petaflop/s, compared to K Computer's 10.51 petaflop/s.

As pp-fold implied a greater reduction in terms of training population compared to k-fold, a pp-like strategy was also tested, in order to ensure the same training population size is used in both schemes.

The comparative results demonstrate that the WDCM provides the better clustering performance compared to k-means and SOM algorithms.

In 2008, Rodriguez, 26, had a major league-record 62 saves, and a 2.24 E.R.A. "If you look at his numbers this year, compared to K-Rod's numbers, they are very similar in some areas and better in others," Thurman said of Fuentes while using Rodríguez's nickname.

In certain cases, KHM algorithm significantly improves the quality of clustering result compared to K-means algorithm.

The proposed clustering algorithm reduces the total power consumption by about 12%% compared to K-means clustering and by about 30%% compared to LEACH-C.