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Inspection of the matrix highlights a high level of nt identity between sheep and human genes as indicated by dots and lines.
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The matrix highlights the involvement of a large number of nongovernmental organizations (NGOs) along with relevant government organizations (GOs) in Koyra's recovery.
The evaluation matrix highlights the problems associated with completing a task such as controlling the opening position of a holding mechanism within the GI tract.
The red square over the right part of the matrix highlights that in addition to missing value estimation, our system can generate a number of instances (columns) corresponding to future predictions.
The matrix highlights the performance levers that are best suited to each type of business.
The resulting matrix highlights many similarities and differences in the specific content of the soft law standards from different jurisdictions in North America and Europe.
The graphical representation of the NER matrix highlights the radiative exchanges that dominate the radiative budget of the atmosphere and allows one to have a very good insight of the radiative exchanges.
The characterization of the matrix highlights that rhynchophorol remained stable and did not degrade on interaction with the inorganic matrix.
The payoff matrix highlights the fact that weak altruism is individually advantageous, and thus the oddity of thinking of it it as altruistic rather than selfish.
The matrix highlights the problems of incomplete prevention, unsafe nicotine sources, and poor treatment options, and demonstrates why permissive nicotine regulation could benefit public health: when prevention fails, results are bad.
The resulting co-expression matrix highlights the experiments and genes (the intensity of blue correspond to the increasing value of the Pearson correlation coefficient above 0.75 and up to 1.0) co-expressed with the query gene (p53, in this case), and the word cloud shows a variety of conditions, tissues, and disease states found in the descriptions of these experiments.
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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