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The most eagerly awaited items, however, will be the television pictures, for they should show surface details sufficiently fine to distinguish structure, and both the attitude and depth of sinking of the craft will probably be in itself revealing – at least to the Russians.
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We then use a sparse estimation algorithm (Lasso) to distinguish structures that are genuinely variable from those that appear variable due to noise.
As a result, it was impossible to distinguish structures that formed before drying, when the surface coverage was homogeneous, and structures that formed during drying as a result of the increased local concentration.
In a red cue condition we would expect the local processing to improve (allowing subjects to make more accurate judgements about low-level features of the individual dipole elements) but the global perception of form (for example, the ability to distinguish structured dipole fields from unstructured ones) should be impeded.
We also note that the two tasks truly require global and local strategies: it is not possible to reliably distinguish structured from unstructured fields based on information from low-level 'local' receptive fields and because we altered contrast (rather than luminance), pooled responses from very large 'global' receptive fields are uninformative about local dipole features.
In the human eye, PS-OCT imaging allows one to distinguish structures with birefringent (e.g., corneal stroma, retinal nerve fiber layer), polarization preserving (e.g., stroma of the iris, photoreceptor layer), and depolarizing (e.g., pigment epithelia of iris and retina) properties [ 12, 18– 23].
Because of the Pragmatic View's attention to practice, function, and application, distinguishing structure from interpretation is more difficult here than under the Syntactic and Semantic Views.
Another classification distinguishes structured, non-structured, segregated, and non-segregated models.
However, correctly distinguishing structured RNAs from surrounding genomic sequence remains challenging, especially during de novo discovery.
SWI helps in distinguishing structures that have different susceptibility values than their surroundings [ 4].
The extract of endophytic Pestalotiopsis sp. represents distinguishing structures as balloon like (digitiform) projections appeared from the altering tegumental layers leading to loss of viability of protoscoleces), while none among the other strains displays his type of activity; however, they also show remarkable tegumental damage.
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