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To validate these observations, we recently have shown significant correlations between K e and protein-protein interactivity in the yeast, while there is no correlation between the baseline selection intensity and the protein-protein interactivity (data not shown).
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Dr. Scratch results are computed from seven criteria: abstraction, parallelism, logic, synchronization, flow control, user interactivity, and data representation.
As a result, high interactivity in data visualization showed significant indirect effects on participants' attitudes toward policy change, only when presented with the highly interactive narrative.
The level of interactivity in data visualization (low vs. high) was varied, along with the level of interactivity in a narrative of an obese character (low vs. high) in a 2 × 2 factorial-design experiment with 385 valid participants.
Note that we opt not to use HDFS due to the the interactivity of data exploration in MongoDB, although it is evident that reading and writing time from Hadoop to HDFS is faster compared with MongoDB [9].
Although the assessment of interactivity and data varied both across countries and user experience, a general conclusion is that a geographic visualization tool, like VisAdapt, can make climate change effects and adaptation alternatives tangible and initiate discussions and collaborative reflections.
Motivation: Analysis of multiple genomes requires sophisticated tools that provide search, visualization, interactivity and data export.
Since Big Data leads to the loss of interactivity with data during analysis due to high processing time, we describe solutions from the Business Intelligence that allow one to regain interactivity whatever the volume of data is.
ThunderSTORM also offers a much higher degree of user interactivity during data post-processing compared with other SMLM software packages, and introduces a new and fast visualization method that creates high-quality results.
Five key requirements - Interactivity, Information Richness, 3-Dimensionality, Accuracy Characterization, and Extensibility – are identified as necessary for the consumption of geospatial utility data in location-sensitive engineering applications.
Important features of modern visualization tools include: interactivity; interoperability; efficient data exploration; quick visual data querying; smart visual adjustment for different devices with different dimensions and resolutions; fast panning; fast zooming in or out; multilayered visualization; visual comparison of data; and smart visual data filtering.
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