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Through implementation of a polymer brush model, it was determined that the co-precipitation synthesis method required multiple magnetic separations and significant material loss to produce a well-defined particle distribution.
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In order to update or evaluate an uncertain model, different methods have been proposed, but many of these, such as the Monte Carlo simulation or the transformation method, require multiple sequential evaluations of the model.
This method requires multiple segmentations of the arterial wall and lumen boundaries to obtain the local standard deviation (SD) of vessel-wall-plus-plaque thickness (VWT) so that t-tests could be used to determine whether a change in VWT is statistically significant.
The method requires multiple acquisitions from different positions to establish sufficiently many constraints for nonlinear optimization.
Moreover, their proposed method requires multiple updates as the nesting level becomes larger, especially during the initial MN registration.
However, the implementation of this method requires multiple coordinate transformations, and the number of controllers in the closed-loop control is relatively larger, so control complexity is increased.
We first profiled 435 miRNAs from 22 CLL samples and 1 control B sample by the Luminex method requiring multiple gel extraction steps as described [17].
The PCR method requires multiple steps of isolation of phage DNA from complex materials such as milk and microbial broth.
However, the Bayesian adaptive regression splines method requires multiple trials to give an effective estimate of the PSTH.
However, this method requires multiple treatment sessions and due to the presence of thin roots or prolonged exposure of root dentin to calcium hydroxide, the tooth will be more susceptible to root fracture [ 1, 5].
However, these methods require multiple independent nonlinear finite element analyses in each design iteration of the optimization algorithm.
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