Sentence examples for i dependence of from inspiring English sources

From the estimated values of, the ionic strength I dependence of the polyion conformation has been visualized, resulting in a similarity between two relations, ηintra/C vs. C and vs. I.

Vertical incidence rays are assumed, and the angle between the ray direction and the magnetic field is (pi /2-I) Fig. 5 Dip angle ((I)) dependence of group refractive index for different values of (X (=f_p^2/f^2)).

Despite the apparent MHC class I dependence of CD8+ T cell-mediated axon injury, our observations suggest that these T cells are not antiviral.

This translates into shifting the respective vertex v i from the set V ~ to V ^, reducing the vector κby the same element, and solving the implicit equation of the form (4) f i (x i, κ, F = 0 for x i to get the set x ¯ i of fixed point coordinates of the variable x i in dependence of the vector κ. The set F has to be updated accordingly. Equation (4) has to be solved numerically.

This result is further supported by the vastly different I dependences for both sides of the I-QH transition.

The number of significant components, p, can be chosen based on the overall shape of λ k(i) dependence or from correlation analysis of loading maps, which correspond to each of the eigenvectors, a ik ≡ a k (x, y).

Asselin-Paturel, C. et al. Type I interferon dependence of plasmacytoid dendritic cell activation and migration.

Two sources of uncertainty were considered: (i) the dependence of the optimal parameter set on the climate characteristics of the calibration period and (ii) the use of several posterior parameter sets over a given calibration period.

The indications for that were (i) no dependence of the fluorescence ratios of the two dyes from the fluorescence intensity (Figure 3), (ii) a clear spatial effect generated by spotting of the microarray with a 48-pin print head (where each pin printed one of 48 blocks of probe spots) (Figure 4).

In a previous study of Type I IFN dependence of glial responses following synaptic degeneration in the dentate gyrus, we could show IFNAR1 dependence of CXCL10 production but not of CCL2 [ 18].

In the case of small sample size, it is important to develop simulation models based on non-parametric test (Methods, Figure 1) and to study (i) a dependence of misclassification error from the sample size, correlation patterns between paired features, (iii) a role of dimensionality of the co-variate space and other parameters of microarray data and clinical factors.