Sentence examples for setting for the estimation of from inspiring English sources

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In conclusion, we have developed a MAGE-A3 specific MAGE-A3 specificompatible with a high-throughput setting for the estimassay of MAGEA3 gene expression in present and future compatiblerials.

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With regard to foam formation, a test set for the estimation of the foaming tendency of substrates [15] has been developed recently.

Therefore the data set for the estimation of the marker effects consisted of the 3000 individuals from the last three generations.

Two separate transfer functions were developed using 'high' and 'low' level data sets for the estimation of phytoavailable Cd and Pb soil pools.

We identified 1,587 orthologous core genes as an initial data set for the estimation of genetic recombination and positive selection.

For owned dogs, veterinary records can provide extensive data sets for the estimation of demographic parameters such as age-specific survival and fecundity, age at first pregnancy and litter size [e.g. [ 1]].

In many respects, the study, and the times it reflects, resonate with the situation of widespread absolute poverty in developing economies at present, just as the methodology developed sets standards for the estimation of absolute poverty that still meet the tests of rigour today.

This paper gives constructions for optimal and near-optimal sets of pairs for the estimation of main effects, and for the estimation of main effects and two factor interactions, in forced choice experiments in which all attributes have two levels.

Thus, estimated model parameters (λ, μ*, vF, ωp, τ, and ρ(0)) represent a good set of parameters for the estimation of normal state resistivity in alkali metal intercalated fullerides.

Subsequently, utterances in the data with a common semantic entry, i.e. utterances with '1' at a particular position in the label vector v s, were pooled together to compose the training set for GMM estimation of each respective slot value.

A pseudocode is provided in Table 2. To prevent overfitting, we effectively partitioned the data into three: a feature extraction training subset (inner training set); a model size selection and variable stability evaluation subset (inner testing set); and an outer test set for performance estimation of models trained on the outer training set, which comprised the inner training and testing sets.

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