Sentence examples for the number of definitions from inspiring English sources

Exact(7)

Figure 3 shows the number of publications per year that define phishing, indicating several peaks in the number of definitions within particular years.

Next to it is the number of definitions in the orange column and the number of identical definitions in the blue column.

Such changes could indicate emerging consensus about the definition, so that authors start citing earlier definitions they consider useful, or, where there is a rise in the number of definitions, a change in the phenomenon might be developing, requiring redefinition.

For each concept, we determined whether the definitions agree on either inclusion or exclusion by calculating whether the number of definitions that use the concept differs significantly (p < 0.05) from 50% by using Pearson's chi-square test, the results of which can be found in Table 2.

The number of full form entries is shown in the blue column, next to the number of definitions used in these entries in the orange column, as well as the number of identical definitions in these term-based entry groups in the gray column.

Figure 10 shows the number of entries represented by the same abbreviation in the blue column, the number of definitions involved in these term-based entry groups in the orange column, the number of identical definitions in the gray column, the number of related full form entries in the yellow column, as well as the number of related full form terms in the green column.

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Similar(52)

We determined period prevalence of asthma at baseline by taking the number of definition 1 or 2 asthma cases occurring from birth to 12 months after the index BLL and dividing it by the total number of children in the cohort at that time.

After the time is up, test your subject and record the number of correct definitions.

The number of full definitions should be increased.

Using this compression, we are able to reduce the number of possible definitions for each process node.

Second, there are the number of variable definitions nv leading to an increase in the probability of a type I error.

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