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This high accuracy enables more precise verification of known results and prediction of heretofore unknown phenomena.
We discuss how the usage of these different tools is complementary: large parts of the specification can be checked automatically, while more precise verification methods can be used for the more intricate parts of the specification and implementation.
As it is difficult to evaluate which normalization method is more suitable for a data set based on MA plot analysis, more precise verification is necessary.
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It is worthwhile to mention that our technical methods are practical, in the sense that all new stability conditions are stated in simple algebraic forms and provided a more precise estimate of the exponential convergence rate, so their verification and applications are straightforward and convenient.
Overall, these results are important in a more precise understanding of the structure and action of catalytic gold nanoparticles and in the experimental verification of theoretical calculations.
Therefore it is plausible, although further verification is warranted, that the application of AEIS in integrating laboratory information can provide a more precise estimate of R0 under various scenarios (e.g. schools, families, hospitals, mass-population gatherings), and possibly assess the duration and magnitude of subsequent waves during epidemics/pandemics [26], [27].
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CEO of Professional Science Editing for Scientists @ prosciediting.com