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We have illustrated the use of GPR bootstrapping using two examples, and discussed the impact that data uncertainty has upon inference.
We then applied the suggested system to a series of examples and discussed and revised the system based on this experience and the consideration of other examples.
These were then summarized, with examples, and discussed among all members of the research team through a series of one to one discussions rather than formal team meetings.
Then, 4 panels including businesses and civil societies commented the principles, provided good practice examples and discussed the role of the Principles for Business to respect and support children's rights.
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We demonstrate the method with simple examples and discuss its appropriate use.
We illustrate these algorithms with small examples and discuss RM-based optimization case studies that demonstrate their performance and effectiveness.
We include illustrative examples and discuss the problems that have to be dealt with in data analysis in metabolomics.
Here, we'll examine what students need to know about these topics, provide evolutionary examples, and discuss how this content can be incorporated into science teaching.
I will illustrate the promise and pitfalls of these approaches using a range of examples, and discuss the problems of inferring causality from significant evolutionary associations.
We briefly discuss two examples and discuss the strengths and limits of outcome-based evaluation of research programs.
The presentation will describe some examples and discuss their effectiveness and the lessons which other countries can derive from them.
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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