Sentence examples for proportion of concepts from inspiring English sources

Exact(5)

The proposed Inter-methodology AOML is quantitatively compared with other AOMLs in nine different problem domains, and this comparison shows that the proposed Inter-methodology AOML can determine a higher proportion of concepts in these domains than other AOMLs.

Beyond visual inspection, five particular statistics are used to analyze the resulting networks: a new measure of ideological polarization, betweenness centralization, the number of components as a share of the initial number of concepts, the proportion of concepts still alive, and the concept replacement rate in the histories of all agents.

The nursing outcomes subset had the largest proportion of concepts for which there was no consensus of relevance and usefulness.

Due to the numerous aspects of appeal, credibility and risk to be compared for each media item, agreement between authors was assessed by calculating the proportion of concepts on which both authors agreed.

The results in Table 2 need to be interpreted with some caution because HP has a high proportion of concepts in abnormality of the skeletal system (28.8%) due to the growth in anatomical partonomy relations (e.g. phalanx of finger of hand).

Similar(55)

The results indicate the potential of the methodology, as each of the teachers agreed that the visualised assessment knowledge helped them to comprehend the proportions of concepts they intended to test easily and, additionally, helped them to clearly notice concepts they may have ignored.

In addition, the existing integration approach has resulted in a significant proportion of duplicate concepts being added to UMLS.

A large proportion of the concepts in the nursing outcomes category had formulations such as "no pain" or "improved mobility".

A large proportion of life science concepts relate to clusters of processes, which in turn relate to complex webs of biophysical, biochemical, and ecological phenomena.

She writes: "It seems to me the cancer community has blown out of proportion the concept of strength.

To compare pre- and posttest scores visually, we calculated the proportion of items about key concepts and misconceptions that students answered correctly in each class.

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