Sentence examples for groups of representations from inspiring English sources

Anthropological studies suggest two groups of representations of the disease in the public health and social field [ 15].

With regard to contract physicians, we observe the main group of representation in the classes of more than 5 and less than 25 and of more than 25 and less than 50 physicians.

Table 4 Absolute differences between factor scores for onomatopoeic representations and those for real sound stimuli, averaged for each of the two groups of onomatopoeic representations: those for which more than 50% of participants had correct sound source identifications, and those for which less than 50% of participants had correct identifications (standard deviations shown in parentheses).

Two groups of cognitions, representations about illness; and beliefs about behaviours that constitute uptake of screening and treatment are likely to be influential.

Two groups of beliefs (illness representations and treatment representations) are most likely to be influential.

The second group of numerical representations consists of three real-value numerical representations (as Codes 6-8 in Table 2) which can be described as: The Electron-Ion Interaction Pseudo-potential (EIIP) represents the distribution of the free electrons energies along a nucleotide sequence.

The first group of numerical representations consists of five positive-integer-value numerical representations (as Codes 1-5 in Table 2) which shall be described as follows: The Integer Number representation [5, 6] is obtained by mapping numerals {1, 3, 2, 0} respectively to the four nucleotides as C = 1, G = 3, A = 2, and T = 0.

The difference in the group of onomatopoeic representations in which participants had higher sound source recognition was slightly smaller than that in the other group for each factor.

For this analysis we grouped the style of representations students generated into two categories: tree-like and non-tree-like.

Countries of origin were grouped into larger regional groups, for easiness of representation and statistical tests.

For example, DL comprise the logical semantics for knowledge representation which constitute the basis of ontological encoding specifically designed for a group of knowledge representation languages which include OWL, the standard language for ontologies over the Web.