Table 1 Parameters of the MATLAB alteration methods Alteration type Method Level 1 Level 2 Level 3 Blurring fspecial σ = 1 σ = 2 σ = 6 ('gaussian', [7 7], σ) Gaussian noise imnoise v=0.003 v=0.01 v=0.017 (I, 'gaussian', 0.01, v) Resize imresize Scale = 0.8 Scale = 0.6 Scale = 0.4 (I, scale, 'nearest'nearest.
In addition to this change of plan, there was an alteration in method so that material written for earlier volumes of the 11th edition could be altered after later volumes had been worked on, because all were published together over a period of less than two years.
The alteration correction method of Walton (1990) applicable to Thellier-type measurements is noted in the database, although can not be searched for.
In this study, the Indicators of Hydrologic Alteration (IHA) method was adapted to assess the ability of simulated streamflow (using downscaled GCMs (dGCMs)) in capturing extreme river dynamics (high and low flows), as compared to streamflow simulated using historical climate data from 1960 to 2000.
Table 1 presents the parameters required of the used alteration MATLAB methods.
As explained in the Introduction, presumably they either went completely unpublished or were somehow turned into positive through selective reporting, post-hoc re-interpretation, and alteration of methods, analyses and data.
Alterations of method A, including different hemin concentration, rapid acid addition, non-stirring during hemin dissolution and/or acid addition, and higher temperature during the annealing stage resulted in amorphous material.
Most notably, we observed that more than 70% of the genes that are identified as significantly altered based on copy number alterations (see Methods) are not annotated in current pathway databases (Additional file 1: Figure S1).
Similar to BRCA1 mutant tumors, they show a relatively high degree of within group similarity in regions of aberration in spite of the presence of many alterations (see Methods for discussion of statistical analysis, Additional file 2).
These criteria were specifically selected reasoning that these patients would be the most difficult to obtain nutrition histories, they would require alterations in methods for obtaining SGA data points and classification reliability would be more complex.
