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These are not intent-to-treat results, as these computations require that data are not missing in order to compute the necessary change scores for deriving these different measures of weight.
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As these computation-intensive tasks become commonplace, the hard-core Palm nuts -- they know who they are -- will welcome any speed boost.
However by writing the likelihood as in 12, these computations can be done efficiently.
A selection of results obtained using these computations is included as well.
However, their runtime resource cost cannot be ignored, especially as the number of these computations keeps growing.
Great caution should be exercised when resorting to these computations as they have been found to underestimate the true magnitude of PNa increase [233].
We refer to these computations as online processing and this paper investigates scene change detection in the context of MBone-based proxies in the network.
This feature ensures that only necessary computations be carried out and it also ensures that computations that have previously been performed not be carried out again so long as the input to these computations have not changed.
Novel batch processing frameworks based on the MapReduce programming model like Apache's Hadoop or Apache's Spark are used for these computations as they can handle the high volume of historical data by scaling the processing in multiple computing nodes.
Great caution should be exercised when resorting to these computations as they have been found to underestimate the true magnitude of PNa increase [ 233].
However, as discussed in Section 5.2.3, these computations are not necessarily the same as those implemented by the neuronal circuitry of higher species (e.g., primates).
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