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Lithologies with strong calcareous, siliceous and ultramafic components were identified using principal component analysis.
To extract notes from the image, all connected components are identified using a conventional connected component labeling algorithm, and the minimum bounding box of all connected components is computed.
The nonlinear suspension components are identified using the experimentally obtained response spectra for each of the components tested separately.
These components are identified using a block-based (DCT) transform.
Maceral components were identified using white-light reflectance microscopy in oil.
where the foreign and Canadian components are identified using age at migration as commonly done in the literature (Aydemir and Skuterud 2005; Betts and Lofstrom 2000; Friedberg 2000).
By combining a Latin square design with a classical method of medium optimization, the essential medium components were identified using liquid culture experiments.
The major HCl-reactive mineralogical components are identified using mass balance calculation of H+ consumed by their dissolution together with the amount of major elements released into solution.
smRNA biosynthesis pathway components were identified using the known protein sequences from Arabidopsis to perform tBlastn against the Phalaenopsis transcriptomic database (Table S1).
The detected components were identified using their Kovats indices [61]; their fragmentation patterns and diagnostic ions were compared with both the NIST/EPA/NIH library and our own mass-spectrum library and compared with previously published Drosophila CHs.
SDS-PAGE profiled components were identified using trypsinolysis and tandem mass spectrometry.
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