Their distinctive feature is that data diffuses, or migrates and replicates, in main memory according to whichever processors are using the data.
1 While there is huge enthusiasm for routine data, diffusing data analytics throughout a healthcare system requires more and more sophisticated ways of analysing the shadows on the wall, and ongoing communication between different groups of people with very different perspectives.
Pinpointing what is happening to sales prices nationwide is difficult because data is diffuse and unreliable.
Diffusion strategies for adaptation, learning and optimization over networks enable networked agents to interact with neighbors on a local level in response to streaming data and diffuse information across the network to continually solve the estimation or inference tasks.
Surprisingly, analysis of publicly available comparative genomic hybridization data of diffuse large B-cell lymphomas25 showed a significant co-association between the deletion of AMD1 (6q21) and DHPS (19p13) (Supplementary Fig. 18) and AMD1 and eIF5A (17p13) (Fig. 4a; P < 0.0001), with the 17p and 6q co-deleted samples enriched in the ABC subtype.
c A paleoriver system (pr) is clearly visible and distinct in polarimetric data but diffuse in optical image data.
Thermodynamic calculations of energy yields of catabolic reactions from geochemical data of diffuse fluids facilitate an assessment of microbial metabolism in vent settings.
To obtain information on the light absorption features of the various samples, experimental data of diffuse reflectance were elaborated to give absorption coefficient values F R) according to the Kubelka Munk equation [16].
Furthermore, on real expression data for diffuse large B cell lymphoma (DLBCL), pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC), our results yield meaningful biological interpretations supported by biological literature.
As Kogan and Henkel noted, attempts to improve use of evidence can " fail to note how in those areas of policy where data are diffuse, and analyses most likely to be strongly influenced by value preferences, problems must be identified collaboratively between policy-maker and scientist.
