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51 There are very few reports of the impact of NA on HRQoL in patients with MS. The largest data were collected from 2.113 patients enrolled in both AFFIRM and SENTINEL studies.
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The impact on organisational culture, staff and interpretability issues were pointed out by 58% and the difficulties in migrating large data were pointed out by half of participants.
In group two, larger data are below the freezing level.
These large data are interesting to government or companies for big data analysis.
Large data are now being acquired while drilling, however not all of the data available is utilized appropriately to get the big picture of the well being drilled.
Although a large data is accumulating on making alterations in microbial enzymes, there is a lack of definite information on redesigning industrial enzymes.
Larger data is simultaneously more costly to archive and easier to corrupt.
Presently, most tasks done with large data are signal refinement or evaluation and hypothesis testing.
Two types of extreme large AE data were detected.
Although the underlying dataset is large, the data were aggregated at the level of 85 health care organizations.
As part of a larger study, data were also collected on patients with RSE.
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