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Socio-economic and livelihood based data can be a powerful tool with which to advocate pro-pastoralist policies.
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Altogether, we demonstrate how news-based data can be incorporated into an investment system.
This geometry or 'property-based' data can be the basis for integration with wider and 'softer' aspects of urban planning and sustainability.
While projects such as EWSA [29] and BinaryWS [30] have shown that XML-based data can be efficiently encoded, this potential is limited by the inherent complexity of open-world semantic description languages.
Therefore, one may ask whether multidimensional and sub-optimal microarray-based data can be applied to the study of complex biological systems, including carcinogenesis.
Strong and evidence-based data can be a real challenge but should not be rushed to produce.
Our method for collapsing array-based data can be used to find and present patterns or signature motifs in these types of data.
With the aim of finding how multiple rare variants within a genomic region contribute individually and collectively to disease, this study shows how collapsing techniques currently used to analyze population-based data can be adapted for the analysis of pedigree-based data.
In addition, practice based QOF data can be aggregated to provide local area estimates of smoking prevalence based on a much larger sample size than other surveys.
In the online world, where data is highly specific and immediately available, directing ads based on data can be even more detailed and lucrative.
Base called data can be found at http://derisilab.ucsf.edu/data/longmarch.
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