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The results are indicative of a considerable reduction of the number of algorithm generations, the number of chromosomes being evaluated by user, and the evaluating time in comparison with the two aforementioned methods.
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Comparability among studies is limited due to differences in the evaluated time spans, phenological data availability and regional context.
Stable dispersions, such as those observed for the nanopure water (Fig. 5a), demonstrate similar size distribution trends across the evaluated time period.
Contrastingly, CsaMLO8 transcript abundances in cotyledons and true leaves were not significantly altered at any of the evaluated time points after PM inoculation (P > 0.05) (Fig. 5a).
The mean number of generations, the mean number of chromosomes being evaluated by user, and the mean evaluating time are considered as the evaluation criteria.
Thus, the mean evaluating time of the multi-stage interactive genetic algorithm is lower than that of the simple genetic algorithm.
As it is shown in Fig. 8, the mean evaluating time in the proposed method is much lower than that of multi-stage interactive genetic algorithm.
The current study highlights the importance of evaluating time course in delineating the modulation of attention by emotion.
The majority of studies used a third-party payer perspective, and approximately half evaluated lifetime costs and benefits; the remainder evaluated time horizons from 10 to 50 years.
The present approaches evaluate time domain analyses of structure and consider the responses under several earthquake records.
However, the study also evaluated time to response, time to progressive disease, response duration, pruritus relief and safety.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com