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The simplest account we offer of these data is that task performance was not affected by reducing vigilance over the time course of searching.
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The microsystem was the main focus of this study and the other three ecosystems were looked at by the offer of the data.
The authors present data that were by and large known before, but they offer a different interpretation of these data.
Observational health-care data alone may not be sufficient to provide definitive evidence of any purported effect; however, systematic analysis of these data offers tremendous potential in providing credible evidence for advancing our understanding of the effects of medical products across large populations and a wide variety of products.
Thus, early involvement in the curation and validation of these data may offer opportunities for significant insights into the data that could enhance the methods developed for the Grand Challenge.
Multidimensional scaling and neighbor-joining analyses of these data sets offer new insights into the structure of human populations and enable a comparison of genetic variation patterns in chimpanzees with those in humans.
Analysis of these data will offer the maximum possible insight into secular and geographic variation in the etiology of hearing loss while also providing insight into the efficacy of early intervention in improving the communication skills acquired by hearing-impaired children.
A definitive data set that amalgamates all of these data sets offers new opportunities for more complete analyses of patterns of human genetic variation.
In an overview paper and three related papers published online today in Nature Genetics, deCODE offers a sampling of what these data revealed.
Although most of their information is focused on California, they offer tons of data from other areas of the country.
Others are pursuing marketing and advertising applications, and some analytics companies already offer analysis of data from VR sensors as a way of tracking the response to ads.
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CEO of Professional Science Editing for Scientists @ prosciediting.com