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Essentially they're making the case for product A using the performance data of product B. The Lib Dems are trying this trick in London in this year's Euro elections.
The comparison of the 1H and 13C NMR data of product 3 with those of 4α-hydroxy-1-deoxyartemisinin (Parshikov et al. 2004; Zhan et al. 2015) was in complete agreement.
The final result shows that the proposed approach is conducive to heuristically identify the root causes of the complicated product infant failure from the big data of product lifecycle.
The predicted data of product distribution exhibited good consistency with those experimental ones for two new FCC catalysts, and the relative errors were mainly below 10% for the catalyst property-included lump kinetic model.
Table 4 The 1H NMR spectrum data of product (A) Group Signal appearance (ppm) OH group δ-3.5 NH group δ-2.5 CH2 attached to (NH2) δ-2.7 C–H attached to (OH and CH3) δ-3.3 CH3 terminal δ-0.96.
Table 5 The 1H NMR spectrum data of product (A2) Group Signal appearance (ppm) OH group δ-3.7 NH group δ-2.5 C H δ-7 and δ-7.5 C–H attached to (OH and CH3) δ-3.63 CH2 attached to benzene ring δ-2.55 Proton of (–SO2NH–) group δ-8.7 CH3 terminal δ-0.96.
Similar(54)
The physical and spectral data of products (7a g) are depicted as follows.
Table 4 gives the boiling range data of products over different bed-filling types.
A sequence of monthly data on new housing starts and a sequence of weekly data on product sales are examples of time series.
However, none of the models discusses the difficulty of the limited data availability of product and process information in the early stage of product development in lightweight engineering.
Product model is the basic data foundation of product development.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com