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This study suggests a methodology for damage diagnosis in structures, which is based on a multivariate statistical procedure and uses the measured time domain structural vibration response.
The strategy considers a state space representation to model the pulp level of each bank (with a multiple input - single output model), which is obtained by a system identification procedure and uses a Kalman filter as a state estimator.
The method implemented in SAMOVA employs a simulated annealing procedure and uses allele frequency data along with geographic coordinates of the sampled populations to identify population groups maximizing genetic differentiation.
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Every writer has compressed time and procedure, and used clarifying dialogue.
ZnO NCs were prepared using the same procedure and used as the control sample.
All patients gave written consent into the procedure and use of their data.
For assessment, PPy was also synthesized in a similar procedure and used as reference.
Control samples were prepared by following the same milling procedure and using vehicle only to serve as baseline for nanosuspension.
We provide a knowledge gain to the community by describing extensively the specific preparation procedure and using sensitive EDs.
Noticeably, the R pore values determined by means of the BJH procedure and using the GGP model are close.
We extended the optimal assignment kernel with our procedure and used the resulting pseudo-kernel in support vector machines.
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