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The features of this methodology are illustrated using some simple design examples.
The advantageous features of this methodology are high atom-economy, operational simplicity, shorter reaction time, convergence, and facile automation.
The main features of this methodology are presented, and the analytical performances of the ultrafast hetero-nuclear J-resolved pulse sequence are evaluated on model samples.
Automated generation of test cases to validate the functionality of the robot trajectory generation unit showcases the key features of this methodology.
After this, the results of all cases in the small-scale case study are shown and discussed, highlighting the most important features of this methodology.
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An important feature of this methodology is that it provides information about the nucleation kinetics and growth rate.
The remarkable feature of this methodology is designing a bend-insensitive fiber without reduction of core radius and MFD.
A key feature of this methodology is the orthogonality between the new translational components and their endogenous host counterparts.
Fast reaction times (10 min), lower catalyst loading (down to 0.1 mol%), high scalability, operational simplicity (see Methods) and the possibility to avoid the use of a strictly inert atmosphere, of syringe pumps and of additives such as tetramethylethylenediamine are key feature of this methodology.
The main feature of this methodology is the construction of a series of discrete problems that differ only by their right-hand sides, rather than by both their left- and right-hand sides.
The main feature of this methodology is that all the mathematical procedure already developed in the context of shape sensitivity analysis may be used in the calculus of the topological derivative.
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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