Sentence examples for more explicit modelling from inspiring English sources

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More explicit modelling of this process can take a variety of approaches.

A more explicit modelling of these will provide a more principled treatment of different sources of noise in the data.

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Halliday (1994) and Matthiessen (1995) particularly give us a rich complementary account of the lexicogrammar of English and a more explicit model for research on other languages.

For example, by relaxing the second assumption; perhaps the similarity can be tuned by additional indicators, such as the size of the molecule, its solubility, etc., to create a more explicit model of this probability function which would vary appropriately across chemical space.

This allows us to develop further testable hypotheses about long-term settlement and land-use patterns on Antikythera, including more explicit models of community organisation, and of the relationship between the island's geomorphological structure and its history of past human activity.

Still, there is a body of work that attempts to estimate accuracy in areas such as grant review and it is possible for granting organizations to collect data necessary to build more explicit models [9], [14] [16], [19].

Then the model might also be extended by a more explicit model for actin polymerization, including species representing formins or Arp2/3.

A more explicit model calculation of the spin label coordinates at residue 42 versus 90/91/92 is illustrated in Figure 3 (top, left).

Another promising approach is to construct more explicit models of microbial and community function to address the partitioning of functions across taxa in a sample.

Developing and parameterising more explicit models in combination with laboratory studies, in contrast to the simple qualitative models described here, will be essential to developing treatments than minimise the rates of transfer.

We have therefore opted for estimating the net effect of climate through its many pathways through a more statistical approach rather than use a more explicit model whose many parameters cannot be established and thus easily could introduce an unknown bias.

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