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We extend to premixed flames an earlier asymptotic analysis of constant density stagnating turbulence by introducing a specified distribution of mean density, e.g., one obtained from experimental data for the mean progress variable.
It seems helpful to divide the design region into two zones by introducing a specified point as critical height (CH), denoted by (bar{z}_{text{C}}) in dimensionless format.
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The subscriber can specify a desired time interval of the message arriving in a topic by introducing a time-based filter.
We build here on these results; we include the pre-ordering in the language by introducing a conditional operator, and we extend the generation of a nonmonotonic inference relation by allowing the use of incompletely specified pre-orderings.
We address the problem by introducing a framework which alternatively repeats a dense cage reconstruction and a sparse cage reconstruction until the meshes recovered from the reconstructed cage sequence can approximate the source 3D models within a user specified error.
By introducing some specified matrices, a new sufficient condition is proposed in terms of strict linear matrix inequality (LMI), which guarantees the stochastic stability of the sliding mode dynamics.
By introducing some specified matrices, the connections among the designed sliding surfaces corresponding to every mode are established.
Some attempt of doing this is made by introducing additional standards specifying information flow at reference points (see [59]), but some of them are still draft standards, some other are under reconstruction, so the system is not complete.
Besides being a code base it provides functions allowing the specification of a release procedure by introducing levels of acceptance specified by appropriate quality criteria.
This paper launches the challenge by introducing cognitive modeling for specifying decision-maker behaviors more naturally and intuitively.
When the generated heat is limited, the reactant has to be introduced according to a specified feed-rate profile.
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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