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We begin by deriving and explaining the prediction and then illustrating it using a meta-analysis of trials of intravenous streptokinase for acute myocardial infarction [ 8].
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Let us illustrate it using a simple example: suppose that the TO of train A considers his best choice to leave from a given station ten minutes after the arrival of train B; in this situation the maximum of the utility is defined according to the arrival time of train B. The TO establishes his ideal departure time referring to historical data, that can be no longer valid in the new timetable.
We illustrate it using two models of nonequilibrium transport.
In this article, we describe the proposed framework for operator learning and illustrate it using experimental studies.
To present an explanatory framework for understanding prognosis and illustrate it using data from a systematic review.
We propose a two-phase approach to screen various alternative designs (configurations) utilizing a number of criteria, and illustrate it using a popular Harvard Business School case.
Each section concentrates on one technique; we first illustrate it using the well-known minimum spanning tree problem, and then present an advanced application.
We illustrate it using demonstration code that you can run out-of-the-box with the installer available at http://bitbucket.org/joezuntz/cosmosis.org/joezuntz/cosmosis
In this section, we define the multidimensional model we will use to formalize our approach and illustrate it using our working example.
We illustrate it using the most widely used optimization problem, which is the first optimization problem in Equation 6. R x = x T S b x x T S w x, R x = x T S b x x T S t x, R x = x T S w x x T S t x. (6).
The rest of this section describes the method in detail, and illustrates it using a hypothetical example.
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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