Sentence examples for flexible evolution from inspiring English sources

We explain how to adopt a schema for the data integration by using an algorithm based approach for flexible evolution of the model for a document oriented database, i.e, MongoDB.

There is little potential for independent evolutionary change in eyespot color composition, compared with the strikingly flexible evolution of eyespot sizes.

The influence of developmental constraints relative to flexible evolution of particular structures in response to selection is of foremost importance when investigating the selective pressures which may have influenced observed differences, and as such, to our understanding of brain evolution.

On the other hand, non-viral TLRs that exist on the cell surface have a more flexible evolution and easily tolerate non-synonymous mutations which, in some circumstances, can be subject to positive selection and become fixed in some populations [ 33].

Rather we present a flexible schema evolution framework that allows the user to define new relationship transformations as well as to extend existing ones.

In part, it achieves dominance vis-a-vis other constituents in any tissue ecology through flexible regressive evolution via tumor exaptations of a toolkit that extends to its unicellular roots.

Retrenchment is a flexible model evolution formalism that arose as a reaction to the limitations imposed by refinement, and for which the proof obligations feature additional predicates for accommodating design data.

They are very sensitive and flexible to evolution [ 159] since their dynamics changes continuously over time and since transcription factors evolve faster than their target genes [ 160].

The features of the PPO gene family including variation in gene number, cellular localization, and lineage-specific diversification is consistent with the idea of PPOs as flexible enzymes that evolution has adapted to a variety of specific functions.

Their main characteristics are being: 1. integrated (with all other planning systems, but particularly with service planning and resource/finance planning); 2. consistent and evidence-based (decisions are supported by sufficiently reliable information and robust methodologies); 3. with potential for evolution (flexible and adaptive to rapidly changing health system).

To address the aforementioned flexibility constraints of MapReduce, we propose an architecture called Flexible Architecture for Cluster Evolution (FACE) which is both language-independent and platform-independent. FACE allows a MapReduce cluster to be designed to match various application requirements by customizing data partitioning, localization, and processing procedures.