Sentence examples for are partitioned over from inspiring English sources

A classic marine example of incipient speciation in sympatry is that of the intertidal snail Littorina saxatilis comprising genetically distinct ecotypes (with different shell morphologies), which are partitioned over a gradient of tidal height [3] [5].

We addressed the level of specificity between the different coral species and their dominant Symbiodinium (i.e. the algal type(s) that are most abundantly present in the coral tissue), and evaluated whether these host-symbiont associations are partitioned over depth.

The Caribbean genus Madracis comprises six common taxonomic species whose distributions are partitioned over the reef slope, including shallow (M. mirabilis and M. decactis) and deep (M. carmabi and M. formosa) specialists and two depth-generalist species (M. pharensis and M. senaria).

Tables cannot join with themselves, and all joined tables must be partitioned over the same value.

Although the paper focuses on workflows, the method can be applied to other distributed systems whose components are to be partitioned over a set of clouds.

To alleviate this issue and to make the system scalable to designs with higher complexity (e.g., using better receivers), the DUV can be partitioned over multiple FPGAs.

This paper describes an alternative to ad-hoc approaches – a method that determines all ways in which applications structured as workflows can be partitioned over the set of available clouds such that security requirements are met.

Finally, VoltDB [30] has a larger number of restrictions in place: it is not possible to use the having clause, tables cannot join with themselves, and all joined tables must be partitioned over the same value.

In the example shown in Fig. 4, data from a relational database about customer orders is partitioned over three different sites in such a way that each site is assigned distinct customer numbers, while products data is replicated over the sites (i.e., identically copied).

The aim of this paper is to develop a general framework for training neural networks (NNs) in a distributed environment, where training data is partitioned over a set of agents that communicate with each other through a sparse, possibly time-varying, connectivity pattern.

Hierarchical Analysis of Molecular Variance (AMOVA), as executed in Arelquin 3.1 [ 45], was used to determine how contemporary genetic variation is partitioned over the range of G. maculatus.