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The performance of this methodology is assessed through modeling of subsidence in an aquifer-interbed system.
The gap infilling performance of this methodology is compared with neural networks and alternative conventional approaches.
In order to illustrate the performance of this methodology, a semicontinuous bioreactor is considered as a case study.
This paper shows some experiments that prove the performance of this methodology for a second order-modeled system with 3 degrees of freedom.
The inferential performance of this methodology is analyzed by means of an extensive study of simulated data and real data consisting of leukemia remission times.
Performance of this methodology is evaluated over adjacent irrigated and rainfed fields, since mixed conditions are the most challenging for data fusion procedures, and in two different climatic regions: a semi-arid site in Bushland, TX and a temperate site in Mead, NE.
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The related accuracy and computational performances of this methodology are investigated via suitable comparisons with a purely discrete model of masonry.
To assess the performance of this new methodology, we performed a comprehensive comparison of AmpliSeq with RNA-seq using two well-established next-generation sequencing platforms (Illumina HiSeq and Ion Torrent Proton).
5, in order to test the performance of the methodology presented in this paper, a numerical experiment is carried out by taking the examples of Beijing-Shanghai ordinary-speed rail line and Beijing-Shanghai high-speed rail line in China.
The performance of the methodology used in this study for the organism Rattus norvegicus can be understood by the fact that for most of the sequences of this organism the TIS starts in the first position of the mRNA.
However, the performance of the methodology before the introduction of HAART suggests that this methodology may work well in a time of more gradual improvement in survival with antiretroviral treatment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com