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These retrieval methods are based on extracting features which are tuned for the particular retrieval problem.
Furthermore, these retrieval results also indicate that these simple models may be limited in producing accurate retrievals of snow depth, density, and SWE.
Some studies have shown retrieval deficits in alcoholic patients [3], [4], notably in tasks involving executive control, such as free recall [3], while the preservation of these retrieval processes has also been reported [5].
These retrieval processes yielded 14021 genes for humans and 16412 genes for mice.
There were no significant differences between genotypes in any of these retrieval test behaviors (Table 1).
In future work, we will explore these retrieval experiments more rigorously.
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The objectives of this study are to demonstrate that phenological parameters can now be retrieved from single-season high-resolution time series, and to compare these retrievals against those derived from multi-year high-resolution and single-season medium-resolution satellite data.
A sensitivity study for these retrievals has been performed, in order to identify the most critical parameters affecting the retrievals, with focus on the polar summer mesosphere conditions.
We derived total column (TC) of a dozen of atmospheric gases from recorded spectra and performed the error analysis of these retrievals.
These retrievals are then used to study the role that the fraction of diffuse skylight plays under realistic scenarios of anisotropic diffuse illumination and multiple scattering between the surface and atmosphere.
These retrieval-mediated memory processes may rely on distinct molecular processes.
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