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A method to predict the sequence length distribution (SLD) for homogeneous non-linear irreversible multicomponent polymerizations is described.
The glass transition temperatures, determined from enthalpy temperature plots, depended on sequence length distribution as well as composition.
The model is able to predict the bidimensional molecular weight distribution of the copolymer, the sequence length distribution, the global molecular weight distribution and the copolymer composition distribution.
The influence of gel effect on the kinetics, molecular weight distribution, cumulative composition distribution and the sequence length distribution of the SAN copolymer is examined.
Even in a homogeneous copolymer, several of the above-mentioned morphologies can occur side by side due to the ethylene sequence length distribution in the polymer.
The proton irradiation produces morphological changes in the mole fraction of crystallizable units, sequence length distribution, and crystallite thickness and distribution.
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Using these assignments we have calculated sequence length distributions of ethylene and butylene sequences in the materials obtained.
By Monte Carlo simulation the sequence length distributions for different compositions were obtained and compared; it was found that quenching, for low aniline contents, requires aniline sequences of at least three units.
The sequence length distributions of raw ESTs and contigs were analyzed.
A summary of these two EST datasets is given in Table 1. Figure 1 illustrates the sequence length distributions of the ESTs derived from 454 sequencing and GenBank.
This study of the contrasting model organisms honeybee and zebrafish revealed common misrepresentations of sequence length distributions due to 454 Titanium series pyrosequencing.
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