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Both approaches decrease the transmission performance.
Through greater detail and certainty, it can validate and complement less-sensitive approaches, decrease the failure rates of current ADMET predictions, and serve as a diagnostic tool and guide for biochemical, functional, and clinical follow-up in drug research and development.
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One early approach decreased the expression of plants' lignin-producing genes.
This approach decreases the power consumption of APs by decreasing the time spent in idle state.
Therefore, the applied inoculation approach decreased the risk of persistent non-extractable SMZ residues.
The proposed approach decreasing the total migration time without influence hosted applications.
Therefore, the proposed approach decreases the dependence on the fabrication accuracy.
The optimisation approach decreased the error rate for the neural network models.
Indeed, the Fourier domain approach decreases the derivative order of the propagation, thus significantly speeding up the simulation time.
This approach decreased the number of simultaneous equations and hence estimated parameters.
Unfortunately, this approach decreases the detection probability of other technologies, increasing the amount of cross-technology collisions.
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