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We suggest methods to create checklists and offer suggestions for how we might apply them, using some examples from our own experience, and finally, offer some possible directions for future research.
Finally, we suggest methods to determine the optimal number of service classes offered to the users.
We suggest methods of incorporating principles of UDL into large-scale classes using a variety of technology solutions.
We suggest methods (measuring the height to the youngest leaf collar and assigning leaf numbers by using the first leaf with pubescence and the ear leaf as references to identify growth stages) for minimizing these errors.
We suggest methods to improve engineered PKS design by learning from laboratory-based selection; adoption of DNA design software and automation to build constructs and libraries more easily; tools for the expression of engineered proteins in a variety of heterologous hosts; and mass spectrometry-based high-throughput screening methods.
We suggest methods for analysis of concentration-additive epidemiologic data.
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We also suggested methods how to choose suitable cantilever, perform fine tuning of scanning parameters in TM, recognize and minimize various artifacts, and obtain reliable AFM images.
We have suggested methods for overcoming problems associated with collecting, analysing, and interpreting qualitative data in a local language, that we think help maintain analytical openness in collaborative qualitative research.
We suggest these methods supplant last observation carried forward as the primary method of analysis.
Furthermore, we suggest reconstruction methods to extract 3D muscle geometry directly from fascicle data and estimated parameters using the level set method.
We suggest possible methods to cope with those.
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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