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The purpose of this study is to propose a method that predicts the minimum curing time required for early-age concrete to prevent frost damage.
For the rest of the considered data, the model predicts the minimum at times earlier than that observed in the measurements.
The second type of controller predicts the minimum variance estimate of control action using recall process (network inversion) and the control law is derived following a Lyapunov function synthesis approach so that the closed loop system consisting of controller and neural emulator remains stable.
We here determine that the singular limit predicts the minimum duration of inhibition such that a trajectory is still able to spike is 6 ms.
Finally, it can clearly be seen that Syamlal and O'Brien drag function gives a good prediction in terms of pressure drop and also, Syamlal and O'Brien drag law correctly predicts the minimum fluidization conditions.
Since vsfold5 only predicts the minimum free energy in normal operation, for this structure, only results like Fig. 3a are expected (for Kuhn length around 7 nt or greater).
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In this paper, a wrinkling wave function is proposed and a simplified wrinkling prediction model to predict the minimum bending radius for tubes is established based on thin-shell theory, forming theory, the energy principle and wave function.
An original viscosity prediction model is proposed to predict the minimum apparent viscosity of cement pastes with different NS dosages and W/C.
Bed pressure measurements have been made to predict the minimum liquid fluidization velocity.
The model was then used to predict the minimum titer required to block transmission from hosts with different parasite exposures (Table 1).
The model has been validated by predicting the minimum transport boundary for 3 different products, conveyed through 5 different pipelines.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com