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The images were collected with a 2k×2k CCD Gatan camera using a minimum-dose method: searching the section at a magnification of 2,700× and focusing away from the area of interest.
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The standard K-means method searches the entire image by clustering the center.
The proposed method searches the saliency support region to explore the most salient region.
The active set method searches the constraints that are active at the optimal solution to the problem.
Secondly, the proposed method searches the potential saliency support regions to measure the saliency of multiple objects at different scales.
The proposed control method searches the best controller parameters domain subject to minimize a stochastic expected value of cost function.
Otherwise, we activate the GA for the global optimization; in the meanwhile, the LM method searches the local optima according to the results of the GA.
In the case of target 40 this is largely due to the fact that our method searches the best interface, and is not trained to look for multiple interfaces.
Our method searches the annotation for keywords indicating the initial or final compartment of the primary substrate(s).
The presented method searches the optimal configuration of non-overlapped genomic regions with differential expression between distinct biological conditions.
Our method searches the space of such events for correlations with near-future changes in health status.
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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