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The data derived from the laboratory testing are first normalized by norm method and given as the input.
Contextual data critical to evaluating site geology was acquired earlier than for the linear method, and given a higher priority, which resulted in development of more mature hypotheses earlier in the analysis process.
For primer sequences please see table 1. Relative expressions of target genes were normalized to eukaryotic translation elongation factor 2 (EEF2), analyzed by delta-delta-Ct method and given as percentage compared to control experiments.
The evolutionary distances were computed using the maximum composite likelihood method and given in units of the number of base substitutions per site.
Moreover, since cognitive disorders make it difficult for individuals to communicate and understand the implications of risky contacts as well as treatment method, and given the non-specific nature of individual contacts that are often unpredictable, real-time observations might help improve control practices.
Using this and results from Talay and Tubaro [ 23] we find that e (f, T, h ) = − h ∫ 0 T E (ψ e (X s, s ) ) ds + O (h 2 ), where ψ e (x t) is dependent on the numerical method and given by (22).
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The first one is based on Galerkin method, and gives a priori estimate.
Section 3 presents the proposed super-resolution method and gives its implementation details.
Thus, this paper primarily sketches out the method and gives first examples how to use it.
The paper describes the method and gives examples of its application for some existing r.c.
In this section, we briefly describe the segmentation method and give some details about normalization and image enhancement modules.
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