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For the rolling slipping state of a main drive system, the present paper established the nonlinear mechanical model of the main drive system and used the Krilov Bogolubov method to produce the solution of the nonlinear mechanical model, and ascertained the condition of generating self-excited vibration.
But after checking our simulation results, we found that the condition of generating 80%% interactions was not hold and switching from Algorithm 1 to Algorithm 2 was always not triggered by this condition.
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The keyword search provided an indication of the experimental condition for generating the cDNA libraries.
Thinking of possibilities in this way, we already have rudimentary geometrical features generated simply by the selection of generating conditions.
Looking to these free-living models may help identify optimal conditions for generating lines of nematodes that stably express and inherit transgenes.
However, these approaches may not truly reflect the physical and chemical condition of freshly generated smoke.
In order to solve this problem, in this research, a method for analyzing one of the gear dynamics excitations and contact condition of a generated hypoid gear that considers the measured tooth flank form is proposed.
The data presented in this study suggest that under optimal experimental conditions, Octet biosensor is capable of generating kinetic values comparable to SPR/SPRi biosensors.
Also interesting are the observations that optimum experimental conditions for generating homogeneous subsets of CD4+ T cells often include conditions that block the differentiation of undesired subsets [ 3].
These studies mostly used a mix of different growth conditions to generate snapshots of the genetic arsenal of these fungi, rather than to study individual events during the mycoparasitic attack [ 7- 11].
At each searchlight location, the data from the 72 conditions were Pearson product-moment correlated with every other condition to generate a matrix of correlation coefficients reflecting the between-condition similarity of neural responses.
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