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We propose solutions to make learning successful in these conditions.
Fortunately, we propose solutions to solve these mistakes.
In this paper, we propose solutions to address this issue.
In this paper, we propose solutions to address this optimization problem, which is shown to be NP-hard.
We propose solutions for these problems and show by means of model checking that the modified system meets the requirements.
Thus, we propose solutions to deal with "vertical fit" problems and to define the characteristics of the operational dimension.
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Finally, we propose solution methods for our stochastic optimization problem based on L-shaped algorithm within an ∊-optimality framework and present numerical results demonstrating the computational effectiveness.
In the current article we described this problem, presented an overview of possible causes, and we proposed solutions to increasing access to these services.
Unfortunately, Paul and I were shut out of the process before we could propose solutions that would maintain the integrity of Peavey's design while meeting contemporary demands and requirements, such as accessibility.
Before describing the results, we identify and propose solutions to some technicalities.
Because when we -- working people -- propose solutions, it's harder to demonize us, harder to cut vital services, and harder to divide us from the people we serve.
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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