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In a 2 × 2 design we vary (i) representation in the decision committee (one vs. both groups) and (ii) the decision rule (unanimity vs. majority voting).
We find that (i) representation of a group in the committee is crucial for receiving a significant share, (ii) proposals are balanced only if both groups have veto power, (iii) negotiations often fail if the decision environment gives insufficient guidance on what an appropriate proposal is, and (iv) non-binding communication substantially reduces rejection rates and proposer shares.
They differ at the level of (i) representation of protein structure (points, vectors, internal distances or graphs), (ii) measure of similarity and (iii) the algorithm used for comparison, (for reviews see [30] [32]).
These are (i) representation of the data in a geometrically "flattened" form suitable for further analysis; (ii) interpolation of the data to a regular grid; (iii) decomposition of the data into signal and noise; and (iv) addressing some of the issues (slicing) for visualizing and evaluating results with four-dimensional data (3D + gene expression intensity).
In addition to the sheer amount of phosphorylation information that remains to be curated, there are also gaps in the curation of some aspects of protein phosphorylation, namely (i) representation of the multiply phosphorylated forms, (ii) capture of phosphorylation-state specific phosphorylation-state specificse–substrate relationshiPPIs
The advantages of the exon array design include (i) representation of the genes not yet found in the currently available EST libraries, (ii) ability to investigate alternative splicing in the tobacco plant, and (iii) equal probe coverage of each exon of the gene.
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By varying the variance of the spatial (s), temporal (t), and integrated (i) representations relative to the noise (e), we obtained simulated data sets that were then submitted to the same classification approach used for the actual imaging data.
These experiments also compared the S-I representation to the MP representation for all three parameters and the results are summarised in Table 10.
It also prefigures Huw Price's recent (2011, 2013) distinction between e-representation and i-representation.
If I need representation, I will hire the most qualified person to do so.
We evaluated the Class 2 SNPs experimentally by checking the intensity ratios for plus-MspI to minus-HpaII representations.
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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