Sentence examples for composition constraints from inspiring English sources

Adaptation contracts describe composition constraints and adaptation requirements among these services.

Our algorithm to formulate these composition constraints makes use of two helper functions as shown in Table 1, namely genChoice and genInputConstraint.

An adaptation contract describes composition constraints and adaptation requirements among several services which were not initially built to interoperate with each other.

Furthermore, the correspondence analysis suggests that natural selection, such as gene length, gene function and translational selection, dominates the codon preference of mtDNA, while the composition constraints for mutation bias only plays a minor role.

For the first time we have shown the interest of five aspects by considering them simultaneously (1) the pre-concentration column has been included and (2) there is no need to set a distillate composition constraint (like being at the azeotropic composition) in the pre-concentration column.

Root causes involved a difficult soil composition, and constraints at a populated bank that led to engineering solutions not proved before on a pipe of such diameter.

This latter composition of constraints is in line with the behavioral responses to shrew presence: the reduction of movement (smaller number of visited trays; Fig.  3a) and the adjustments of temporal investment at the feeding stations (concentration of effort; Fig.  3b).

The input symbol will be the actual service that is in composition, the constraint factor is the condition that has to be satisfied for choosing the alternate service instead of the actual service.

Meanwhile, in the ENc-plot analysis, if a given gene is only subject to G+C composition mutation constraint, it will lie above or just below the standard curve.

If a given gene is only subject to G + C composition mutation constraint, it will lie just on the standard curve, whereas other kinds of selection and/or mutation pressure will cause values to lie above or below the curve (Fu et al. 2009).

First, the complete proteome sequences from 63 archaea, 270 bacteria, and 128 eukaryotes in public databases were surveyed for a comprehensive comparison and analysis of their organization, similarity, uniqueness, and variability at the proteomic level to help understand long-term changes in amino acid compositions, selective constraints, and pressures across the proteomes.