Sentence examples for component that consists from inspiring English sources

Exact(4)

A component that consists of stable individual parameters.

Another potentially interesting component that consists of three pathways provides an interaction between the S1P receptor pathway, the Ribosomal proteins pathway and Insulin signaling pathway via Mapk7, Nr4a1 and Sgk1, which are all significantly up-regulated compared to t = 0 (Additional file 1, Figure S10), and Rps6kb2, which is up-regulated albeit not significantly (q = 0.066).

However, with ICA, there are two components (Author response image 2, panel B, coloured in red and blue) that overlap with the seed-based map: (1) the PD-ICA (Author response image 2, panel C) and (2), a component that consists of cerebellum and white matter near the basal ganglia (Author response image 2, panel D).

The highest conductivity, ca. 3.5 mS cm−1 at 60 °C, was obtained for the polymeric gel containing 80 wt.% of the liquid component that consists of 80 mol% of EMITFSI (1-ethyl-3-methylimidazolium bis trofluoromethylsulfonyl)imide) and 20 mol% of Mg[(CF3SO2 2N]2.

Similar(56)

Fusion is achieved with the help of conserved fusion machinery components that consists of glycoproteins gB, heterodimer gH-gL complex along with other non-conserved components.

Hence, connected components that consist of less than the threshold size are assumed to be noise and then rejected from further consideration.

For the components that consist of at least two nodes, their counterparts in ModuleOne are regard as being covered.

After that, a local extension is implemented to detect the connected components that consist of the homologous proteins in the other network.

We used retrieval trials on day 2 to dissociate the multi-voxel patterns of schema components that consisted of rule-based associations and low-level visual features.

The novel feature of our experimental design allowed us to isolate the different schema components that consisted of rule-based associations and low-level visual features of the task material, while controlling for various, potentially confounding factors (such as complexity and attentional demands; see Guerin et al., 2012).

Features (i.e., voxels) were transformed into a pattern vector and a linear SVM classifier with a fixed regularization parameter C = 1 was trained to discriminate between schema components that consisted of (1) rule-based associations, and (2) low-level visual features of the task material.

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