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A new computer model can identify the best solutions to complex tradeoffs in vineyard management.
This model can identify the optimal water content using only one experimental result.
The VBAR model can identify the structural parameters from only output data.
The developed BBN model can identify vulnerable pipeline sections and rank them accordingly to enhance the informed decision-making process.
Third, the other model can identify the highest level of service attainable with a fixed amount of labor (the other form of the labor scheduling problem).
However, the defender model can identify the critical subset of substations to be protected in order to minimize the damage when an attacker launches a cyber-attack.
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Here we show that computational modeling can identify spurious non-local components of atrial fibrillation electrograms and improve activation mapping.
Reaction engineering, via mathematical models, can identify key catalyst design variables and quantify their optimum values.
Our results demonstrate that computational modeling can identify non-local deflections to improve activation mapping and explain how and where ablation can terminate persistent atrial fibrillation.
These models can identify spatiotemporal changes in effective connectivity during distinct cognitive states and allow for examining how effective connectivity is shaped by NTBS.
It was shown that the models can identify the bottlenecks of the systems and can be further used as a decision support system by testing various alternatives, in terms of the resources used and their dimensioning.
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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