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This kind of sampling, as explained in Materials and Methods and Document S1, is insensitive to most of the common mode frequency modulations.
The aim of this kind of sampling is to include individuals with a large variation in characteristics.
This kind of sampling focuses more on the identification of information-rich cases than on the representativeness [ 24].
In addition, surface-wipe sampling is proposed because this kind of sampling may best represent accessible surface lead to which people may most readily be exposed (Bai et al. 2003).
I considered how much impact this kind of sampling bias might have had on the studies of the molecular epidemiology of TB published to date.
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Here, we resort to this kind of sample-based numerical approximate method.
Uniaxial compression generates important shear effects in this kind of sample.
This sample was only analyzed using μDRX in order to test the diffraction technique on this kind of sample.
This kind of sample distillation keeps all the advantages of traditional electrothermal atomization and allows significant reduction of matrix interferences.
Results of recovery between 90% and 105% show that it can be successfully applied to this kind of samples.
The 1 5 dilution is sufficient to avoid the effect of inhibition substances present in this kind of sample.
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