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For data input, we use a DDR2 SDRAM and a DMA (controlled by a PowerPC) with a Write FIFO to store pixel data.
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The primary data input we use for our study is a longitudinal dataset from location-based service Foursquare1 describing mobility in terms of user check-ins at public venues in the city of London.
For data input into our system, we used the SPCs and evaluation reports of the French National Authority for Health HASS).
For blood pressure and cholesterol inputs, we used data for the nondiabetic population from the National Health and Nutrition Examination Surveys.
In our original study, for input data we used 16 clinical characteristics that were not directly related to MetS criteria (Table 3).
Epidata was used for data input and analysis.
A Stata package was used for data input and analysis.
Epi info version 6.4 and Stata 10 were used for data input and analysis.
Qualitative cover-abundance values were used for data input instead of quantitative values.
Microsoft® Excel® for Mac 2011 (Version 14.0.0 – 100825) and SAS Version 9.2 were used for data input and analysis.
For the simple method, as the input data, we used the synthetic E and G I in the template PPI network.
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