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Demonstrated are the variation and proportion of variation explained in the sample when considering successive clusters.
Presented are the values for the variation and proportion of the variation explained in the sample based on the number of chronobiological clusters considered.
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Table 1 Set of samples grown as explained in the text Sample Type Raw atmosphere A FGS 70% H2 + 30% CH4 B FGS H2 bubbling in C6H6 C FGS 70% H2 + 15% CH4 + 15%C2H44 D FS 70%H2+30%0% CH4 E FS H2 bubbling in C6H6 Samples A, B, and C are filaments grown on asubstrate and samples D and E flying seed type fibers.
For the calculation we used assumptions derived from Gormley et al.: Discovery cohort = 375.000; variance explained in the discovery sample = 0.1463; and a prevalence of 0.158.
The proportion of variance explained in the training samples shows that a small number of latent components provided an adequate fit of the data, with the first eight latent components explaining more than 90% of the EBV variance and the first latent component accounting for 34% alone.
This may be explained in that the sample size for squamous cell carcinoma subtype was small.
As explained in the 'Methods' section, during the sample recruitment the adults, not the children, were targeted.
Furthermore, as explained in the methods section, our sample size was sufficient to simultaneously adjust for a good amount of possible confounders.
The PL spectrum for 'RS-2' sample explained in the previous section indicates that the 2.11 eV peak originates due to radiative recombination in quantum-confined Ge nanocrystals.
The second and third cases, respectively, are taken from the generated sample explained in the next Section.
The design of the DCE questionnaire has been explained in the next section and a sample choice task has been presented in Table 3.
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CEO of Professional Science Editing for Scientists @ prosciediting.com