Exact(5)
This trend was observed for all other mixtures in Table 11.
Four validation mixtures in Table 2 yielded validations errors which were within the model error of 2.7 °C.
We also obtain 11,659 topic mixtures, and demonstrate the distribution of the number of topics in item mixtures in Table 1.
This is because the mixtures in Table 4 were generated using instruments playing the same notes, and higher partials in that kind of mixture are more likely to be strongly dominated by one of the instruments most instruments have strong low partials, so they will all have significant contributions in the lower partials of the mixture.
For comparison, Table 4 shows the average SDR results produced and the running time taken when using several state-of-the-art algorithms, which were applied to the mixtures in Table 2.
Similar(55)
Since the validation mixtures depicted in Table 2 were obtained by means of the numerical optimisation function of Design-Expert®, these mixtures can also be used for further optimisation studies.
We therefore evaluated whether the source for the initial increase in H2S production, which was observed following rehydration with nutrients, was the amino acid component of the mixture (detailed in Table 2).
It should be noted that the cement and admixture characteristics, aggregate properties, and mix proportions for the SCC mixtures given in Tables 1, 2, and 3, respectively, are similar to those used in Choi et al. (2008) (see Tables 1, 2, and 6 therein).
Both experimental and theoretical 15-min IC50 values of the different binary metal mixtures and three combined metal mixtures are presented in Table 2.
The details of the different mixtures are presented in Table 3 and the notation for the mixtures is as follows: Table 3 Concrete mix proportion.
The composition of the mixtures is shown in Table 2, as well as the mixing water requirements (WR).
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