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This method achieves greater stability than one with a fully explicit time discretization by estimating the tn+1 value of T4 from the thermal emission term, which is proportional to T4.
The experimental results showed that the proposed method achieves greater classification accuracy than other vector- and tensor-based methods.
Observing Figures8 and9 together, we can affirm that our synchronization method achieves greater throughputs and lower latencies, simultaneously obtaining a more efficient use of the energy.
Our simpler method achieves greater resolution during S phase and can differentiate between S and G2 phases without the need to quantify fluorescence levels.
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The results indicate that our proposed method achieves great reductions in mean squared error when compared with standard approaches.
After changing only four tones, Method II achieves greater than five dB gain and therefore outperforms the EI method that achieves approximately the same gain after changing six tones.
By accurately estimating the steering vectors of the desired signal, the proposed method achieves a great performance of the beampattern with its main beam pointing to the right direction.
The optimized system consumes less water and foaming agent, and achieves greater dust-suppression efficiency than methods in current use.
These modifications allow methods to achieve greater formal accuracy, for example by improving the first-order accuracy in the L∞ norm.
We have also optimised immobilisation methods to achieve greater than 100% enzyme activity yields for P. fluorescens lipase spherezymes compared to the native lipase, as determined by release of p-nitrophenol from p-nitrophenyl butyrate.
By making use of the second order differential filtering and subspace method, the proposed algorithm achieves great performance improvement with reduced complexity.
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