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Utilizing a high-quality 3D seismic data set, well logs and restored paleogeomorphology, the architecture and genesis of switched sequence stratigraphic units have been systematically investigated.
We next assembled a data set well suited to the purpose of building an IGRF candidate model.
The analysis for the 3D seismic data set, well data, and well log data for the purpose of acquiring the set objectives of this work was carried out using Petrel® E&P software Platform 2014.
Generally, GFSs are capable of finding an OFS that fits the data set well.
The full MNA classified 36.1%% of participants in the total data set well nourished, 55.6 % as at risk, and 8.3 % as malnourished.
Analysis during both the baseline and the evaluation phases started while in the field, with a later thorough reading of all the interview transcripts in order to get to know the overall data set well.
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Such bimodal distributions suggest that two types of sequences are present in the data set: well-classified sequences with high AUC values, and divergent, putatively misclassified sequences, with low AUC values.
While the Poisson regression (which uses a Poisson distribution) is commonly used for analyses of count data, it does not handle over-dispersed data sets well due to the assumption that the variance of counts equals the mean.
The validation will help rule out parameter sets that fit the training data-set well but do not describe the FGFR signaling pathway.
Clearly, the roe deer population of the Dourdan forest does exhibit inter-individual dietary differences between sexes and seasons, making this data set well-suited to determine whether the SSFA methodology can successfully identify intra-specific dietary variations from microwear structures.
The ensemble of data was globally fit to the nonspecific finite lattice DNA binding model as described in Experimental Procedures (eq 1c), which yields an excellent fit to all of the data sets well.
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