Sentence examples for data of g from inspiring English sources

(39) Let us assume that (g_{delta}) are observation data of g such that Vert g-g_{delta} Vert _{L^{2}(a,b)}= Biggl(sum _{j=0}^{infty} biglVert c_{j} g-g_{delta}) bigrVert ^{2} g-g_{delta}c{1}{2}}leqdelta (40) with a given noise level (delta>0).

Var(g i ) was calculated from the sample variance of real microarray data of g i. SNR10 and SNR4 data were generated to mimic data with medium and low quality, respectively, while noise free data were generated without the noise terms ε i (t)'s.

However, in application the input data of (g (x )) from observations will never be exact due to the measurements.

We want to recover the temperature distribution (u r,cdot)) ((r_{0}le r< r_{1})) based on the measured data of (g (cdot)).

The second example is to consider an example where a is a non-constant function, and f is obtained from observation data of g and φ.

Since the measurement data of (g(t)) contain noises, the solutions have to be sought from the data function (g^{delta}(t)in L^{2}(mathbb{R})), which satisfy biglVert g-g^{delta}bigrVert leqdelta, (1.2) where the constant (delta>0) denotes a bound on the measurement error, and (Vert cdot Vert ) represents the (L^{2}(mathbb{R})) norm.

Survival analysis using TCGA data of G-CIMP-high and G-CIMP-low astrocytomas demonstrated that higher expression of IGF2BP3 was significantly correlated with worse survival of patients (Fig. 4e 3.

The Langmuir and Freundlich isotherm models were applied to obtain data of Gd-DTPA adsorption mechanism on nanocomposite surface.

Data sets comprise time series data of G-CSF serum concentrations, ANC or WBC of patients under therapy.

Plasma concentration data of G-CSF and 3DHSA-G-CSF were shown in Figure 7, and the corresponding pharmacokinetic parameters were listed in Table 1.

Data of G-CSF application into healthy volunteers were already used to validate our pharmacokinetic and –dynamic model of G-CSF [ 25].