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While Google Maps has proven itself to be a valuable tool throughout the last several weeks, it's worth noting the above functions are not accessible within the Google Maps mobile app.
The use of dense meiotic maps has proven to be a powerful framework for study of genomic architecture and spatial structure of divergence in natural populations (Bradbury et al. 2013; Gagnaire et al. 2013b).
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And the lack of zoning maps has proved profitable for some.
Google Maps has proved to be a boon for her in this regard; its Street View facility, once restricted to urban thoroughfares, has since expanded to cover all kinds of places including, crucially, the interiors of major transit hubs such as airports and rail termini.
Electronic concept maps have proven to be a useful vehicle for building knowledge models.
As predicted by Tanksley et al. [ 1], linkage maps have proven to be useful for discovering, dissecting and manipulating the genes that determine simple and complex traits in crop plants.
These maps have proven useful not only in the identification of QTLs and breeding for drought tolerance [ 4, 5, 9], disease resistance [ 10- 14] and stover quality [ 15] but have also improved our understanding of complex relationships between the pearl millet genome and those of other graminaceous species [ 3].
Because of Minty's classical correspondence between firmly nonexpansive mappings and maximally monotone operators, the notion of a firmly nonexpansive mapping has proven to be of basic importance in fixed point theory, monotone operator theory, and convex optimization.
The definition of "urban" on a thematic map has proven to be problematic since urban areas are heterogeneous in terms of land use and land cover.
STEM mass mapping has proven valuable for characterizing large protein assemblies such as filamentous proteins with a well-defined mass per length.
The SAR rupture mapping has proven complementary to field studies extending the zone of co-seismic displacements and identifying other possible co-seismic rupture strands.
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