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Fig. 2 Magnetization variation of the samples with temperature from 300 K to 700 K. Figure 3 presents typical magnetic hysteresis loops of the samples annealed at 700 °C.
Then, for the values ϕ i = ϕ(x i, y i ), i = 1, 2, 3, the function value at any location inside the triangle is given as follows: Consider the linear equations (6 to obtain the non-negative solution and so that we have (7 Such a function suitably represents the variation of the samples on a highly non-homogeneous or clustered point pattern.
To summarize, we can say that, from a series of input data to the system, as the power of irradiation and the optical density of the used nanoparticles, it is possible to calculate the photothermal transduction efficiency of these particles using the thermal parameters of the system and the temperature variation of the samples.
The impact of this assumption on the correlations for the analyzed data depends on the type of genetic variation of the samples.
Fold-change (FC) estimates obtained with both techniques are also included for reference, although these should be regarded with caution, since they do not take into account the variation of the samples.
The two axes of the PCoA analysis bundle 73.0 % and 18.1%% of the total variation of the samples, respectively, and most of the variation is thus represented by the first axis.
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To assess the robustness of the macroscopic network properties versus the variation of the sampled data and the sample size, we have performed a sub-sampling experiment.
With variation of the sample loading volume, a broadened determination range of 2.5 200 nmol L−1 iron could be obtained.
The first analyses revealed the good robustness of the control algorithm to a variation of the sampling time and of the time-delay of the real control devices.
To take into account this variation of the sampling interval, an LPV polytopic controller is designed whose matrices are scheduled w.r.t this parameter.
This is discussed in terms of a simple model, which takes into account the variation of the sample stress state as the test speed increases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com