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The country-specific stratification, the forest management practices and their associated quantitative operational criteria (steps 1 and 2 above) were defined according to information provided by the countries, found in the literature or through an expert assessment (see [30, 53] for a summary of country data sources).
Twenty out of the 38 asthmatics had severe asthma according to the British Thoracic Society criteria (steps 4 and 5).
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Two mutually exclusive selection criteria, sequence size or evolutionary distances, constitute the starting point of the selection criteria step.
The title and abstract of the identified citations were screened for inclusion and exclusion criteria (step 2).
Further, having explicit criteria (step 4) and using available evidence in the assessment of proposals for investment and disinvestment (step 5) serves to meet the relevance condition.
In each step all the problem events (records) that passed the previous step were filtered out according to the following criteria: Step 1: The problem events with an entry in the code field were selected and passed to the next step; records without a code did not enter the next step.
A visual check was then performed for cases that matched only with one of the two criteria (step 3); in this case the matching was not accepted if there was an inconsistency (e.g., the date of death was preceding the date of hospital admission).
In order to terminate at a finite number of iterations, we change the stop criterion, Step 3 in Algorithm 1, to get the following algorithm.
This article is organized as follows: in Section 2, we present the signal model used in the BSS task, Sections 4 and 3 are dedicated respectively for the beamforming using HRTF step and for the presentation of the BSS using sparsity criterion step, and we assess the algorithms performances in Section 5, while Section 6 provides some concluding remarks.
The first criterion (step 1) requires clarification as it encompasses a number of terms.
In the last step (Step 5 in Figure 6), we need to combine the predictions of all the classifiers that pass statistical significance criterion (Step 3) to come up with the final prediction value.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com