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We found that the mean orientation of data from all our experimental birds which prior to the cue-conflict experiment experienced a +90° shift of the horizontal component of the magnetic field, were not significantly different from random (α = 75°, r = 0.21, N = 27, p>0.05).
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This will be true even if the original data is run-length encoded, since the left-to-right orientation of the data in X will not reflect shared haplotype structure due to linkage disequilibrium.
The line orientation of a data set may be thought of as the direction of its greatest variance.
In order to maintain the same reference planes in all time points, head orientation of each data set was standardized using orientation tool in Dolphin 3D software.
These reserved subcarriers change the orientation of the data subcarriers in the active band and thereby limit direct application of the cubic parameterization techniques in designing pilot symbols.
Orientation of each data set was completed in three planes of space (x, y, and z) using volumetric rendering and multiple planar views within Dolphin 3D (Figure 2).
When the deviations are more Gaussian-like, the QHA basis vectors, which maximize variance, align well with the intrinsic orientation of the data (Figure S2 and description in Text S1).
To perform our analysis we relied on information about the orientation of EST sequence data.
This simple re-orientation of the data symbol processing allows for a considerable reduction in complexity, which makes GFDM applicable in a wide range of scenarios.
After generating an optical map for X. bovienii (NCBI designation Xenorhabdus bovienii SS-2004) using AflIII, a large inversion was detected in the sequence assembly, permitting a simple re-orientation of the data and correction of the genome sequence.
The orientation of the image data is adjusted during this L1a-to-L1b processing by a procedure that combines 90° rotation and vertical flipping of the image.
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