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Discover LudwigThe term "logic train" is a correct and commonly used phrase in written English
It is used to describe a series of connected thoughts or arguments that lead to a logical conclusion. One can use the phrase "logic train" in a sentence when discussing a process of reasoning or explaining a sequence of events. For example: - The detective carefully followed the logic train of clues and was able to solve the mystery. - During the debate, the opponent's logic train was weak and full of fallacies. - The professor's lecture followed a clear logic train, making it easy for the students to understand. - In order to convince the jury, the lawyer constructed a strong logic train in her closing argument. - The success of the company can be attributed to the CEO's ability to create a solid logic train for decision making.
Exact(2)
"And that would take you on the logic train back to Pak-Taliban authorisations".
"And that would take you on the logic train back to Pak-Taliban authorizations," the official said, referring to the group.
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It's a logic-training game where you connect path cards with coloured crystal balls.
Physical models mimicking industrial plants and relevant control issues are usually considered the most interesting targets for effective PLC (Programmable Logic Controller) training.
A computer scientist might seek to utilize this logic when training data mining and machine learning algorithms to find these features in the review that will determine if it is real or fake.
For any dispatching simulation practice, "meet-pass N-train logic" will decide when the given trains should exactly arrive and depart from different sidings, based on the defined train priorities and preferred times of departure.
In previous work we used the CellNOpt software to train logic gates to dedicated experimental data [ 17, 19].
CellNOptR uses the experimental data and a corresponding prior-knowledge network to generate a logic model and train it to maximise the fit with the experimental measurements.
CellNOptR makes use of the complementarity between rich context specific biochemical data and imperfect/incomplete accumulated knowledge to build and train logic models.
The software allows us to import and pre-process a PKN, normalize experimental data, train logic models to data using heuristic methods and post-process and visualize the resulting models.
The recently demonstrated ability to train logic-based models on experimental data will also make it possible to tailor logic-based models to specific cell types and conditions, thereby providing a framework for predicting the effect of pharmaceuticals, mutations, and cell microenvironment on cell state.
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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