Sentence examples for balance between structural complexity from inspiring English sources

According to the result from Langdon et al. and Tian et al. [12, 29], considering the balance between structural complexity and diversity, Level 1 scaffolds and Murcko frameworks may be the best choice to represent the scaffolds for most molecules.

Darling, E. S. et al. Relationships between structural complexity, coral traits, and reef fish assemblages.

The strong linear relationships between structural complexity and the dimension of individual colonies of massive Porites, P. cylindrica, and P. damicornis suggest that data on the composition of habitat-building species may prove to be a useful proxy for cross-scale habitat structural complexity.

Multiple linear regression was used to estimate relationships between habitat structural complexity with total coral cover (hard and soft coral) and benthic composition (habitat classification) at each scale.

Table 1 Top candidate models selected to describe the relationship between habitat structural complexity across scales (4 64 cm), with total coral cover and habitat type (benthic composition).

This interpretation is consistent with previous work on the relationship between the structural complexity of habitat and bird diversity [27], [28].

The relationships between colony size and structural complexity at the same five scales were assessed for massive Porites, P. cylindrica and P. damicornis, using linear regression.

Effective simulation models of complex systems must achieve an appropriate balance between computational complexity and model fidelity.

At the larger scales (16 64 cm), the relationship between total coral cover and structural complexity of the habitat broke down.

The only shared variation in structural complexity occurred between the 8 16 cm and 16 32 cm scales resulting from the similar overall colony surface structures of branching and massive Porites at these intermediate scales.

The balance between both complexity sources can be achieved by searching for the best system granularity level, which yields a manufacturing system with the least overall structural complexity.