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We discuss limitations and explore promising future directions for the use of genetically humanized mice to further improve translational research.
We discuss limitations and implications of our measure to future research in social-entrepreneurship-led social value creation.
We discuss limitations of this research as well as potential avenues for further research and theoretical and practical implications.
Finally, we discuss limitations of this description, in particular concerning a 1/8[1̄01] relaxation that is predicted by the atomistic simulations.
We discuss limitations of shallow architectures, such as so-called kernel machines, boosting algorithms, and one-hidden-layer artificial neural networks.
In this article, we review past and current experience in clinical trials of traumatic brain injuries (TBIs), we discuss limitations and challenges, and we summarize current directions.
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We then discuss limitations of both technologies, challenges in this new field and potential future applications.
We also discuss limitations of the simulation model and recommend future directions for model development.
In this section, we will discuss limitations and challenges of Laribus.
We briefly discuss limitations of RiskScape, which in many cases are limitations faced by the wider risk assessment discipline.
During experiments on occluded faces and on turned faces, we also discuss limitations of the proposed solution which are due to performance differences between weak classifiers.
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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