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The survey presented unlabelled examples constructed from the conceptual framework presented by Charles et al (1997, 1999)in earlier publications to reflect the following decision-making approaches: paternalistic, information-sharing only, informed, and shared (see Figure 1).
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Several illustrative examples are constructed from this product.
Training/test examples were constructed from single brain volumes.
In this example, network models constructed from context-specific proteomic measurements of systematically perturbed cancer cells revealed cancer-specific signaling mechanisms and informed the design of this effective combination.
For example, phylogenetic trees constructed from CR polyproteins identified in barley and the maize CR reference elements show the presence of CR4, CR5, and CR6 clade members in addition to three distinct cereba clade members in barley (supplementary fig. S3, Supplementary Material online) but no CR1 or CR3 clade members.
Open image in new window Fig. 5 Examples of S-curves constructed from bibliometric data for two different technologies.
An example is the roof — constructed from curved plates of titanium suspended at different angles and tinted rose, silver and gold — symbolizing a grapevine just before the fruit is harvested.
For example, libraries can be constructed from pools of DNaseI digested fragments prepared from parental templates [5], [6], [7], [8], from degenerate oligonucleotides [9], [10] or from mixtures of both, or even from undigested parental templates [11], [12], [13], and are usually assembled through PCR.
However, homology-based methods require reliable evolutionary information, for example, multiple sequence alignment constructed from enough number of protein sequences.
For example, a phylogenetic tree constructed from an alignment of LigE/LigP and LigF homologues reveals that five LigE/LigP homologues belonging to four sphingomonad strains were more closely related to each other than the next 11 sequences identified in the SsLigE BLASTP search.
The coupling of object detection and contextual information mediated by low-level modulation is demonstrated in [ 24] where context information about the "gist", i.e., a low-dimensional description of a scene, is used to infer the locations of relevant objects in images by statistical models constructed from training examples.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com