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This observation indicated that the present data are generally in line with previous neuro-cognitive data on the representation of number magnitude and their theoretical conceptualization in recent models of number processing.
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The amount of data and their heterogeneity pose a great challenge and therefore the development of efficient visualization tools that can construct representations of data on-the-fly has become a critical objective for bioinformatics.
Although the case study team did not identify independent data sources on the representation of women in government positions in Ghana, the team observed that at the national level, women occupy several key leadership roles related to implementation of the ECCD policy, KG planning and curriculum development, and education administration more generally.
The questionnaires can then help us gathering data on representation in the local context of Arequipa and to test if that kind of knowledge could useful to understand the observed behaviours and the risk management policies.
In this paper we present an approach for addressing this issue by publishing and exploiting workflows as data on the Web with a representation that is independent from the workflow system used to create them.
For these categories carbon stock change, supported by auxiliary data on land representation, could be reported using one NFI as a country may obtain country specific data on the different forest types but also on the EF for the other land use categories.
The ability of SubMap to find common subtypes across data sets is, of course, dependent on the representation of the subtypes in those data sets, and the quality and granularity of their labeling.
In addition, in order to deepen the effects observed in each group, data on the RC and hand cortical representation were separately analyzed in every group.
Domain adaptation during learning is an important focus of study in Deep Learning [57],[58], where the distribution of the training data (from which the representations are learnt) is different from the distribution of the test data (on which the learnt representations are deployed).
Conventional CS theory, developed for image compression, is based on the representation of lattice data using the so-called first-generation wavelets (FGW) [5].
This representation of data on the chemical composition of specimens was applied in publications [ 3, 8– 14].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com