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Current work and research projects in this field have generated some literature that highlighted the importance of big data in supporting smart city applications and services.
This study utilized qualitative methods to 1) gain an in-depth understanding of the data utilized in AT planning, 2) explore the utility of Global Positioning Systems (GPS) and accelerometer data in supporting the planning process, 3) identify the benefits and barriers of researcher and transport agency collaboration, and 4) identify the facilitators to collaboration for these groups.
This technique improved the recovery of proteins from berry cell cultures, as well as enhanced their subsequent 2DE separation (see comparative data in Supporting Information S1).
In this respect, the earlier findings are consistent with our current data in supporting the autoregulatory effects of an FGF ligand on its own receptors, at the level of transcription.
Averaging over ten hemispheric retinular cells (dorsal and ventral, groups I & II) we find an average value of P̅hemi = 0.145±0.035; for nine mid-band cells (rows 5 and 6, groups I & II) we find P̅mid = 0.340±0.061 (full data in supporting information Table S1).
We analyzed the miRNA expression profile of a first cohort made of 41 LOAD cases and 23 age-matched controls (clinical data in Supporting Information Table S1).
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The analysis we presented shows the importance of this meta-data in supporting queries found in query logs.
Data are provided in Supporting Information, Figure S2.
Raw data are available in Supporting Information, Table S1.
The calculations for all data are available in Supporting Information.
Raw fitness data are available in Supporting Information, Table S1.
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