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Moreover, wave breaking criteria for a large class of initial data have been established in [18, 20 22].
New systematic data have been established, concerning the effects of different preparation methods, nanoparticle concentrations and dispersants on the stability of water-based nanofluids, obtained by dispersing titanium dioxide (TiO2), single wall carbon nanohorn (SWCNH) and copper oxide (CuO) nanoparticles.
For many statistical methods such as regression, algorithms to deal with censored data have been established.
All of these have good psychometric properties [ 30- 35], but still no standardization data have been established for any of them.
For plants, many electronic databases of vegetation plots (fine-grained species co-occurrence data) have been established in different European countries together containing >1800000 vegetation plots (Schaminee et al., 2009).
Recently, however, public repositories of high-quality microarray data have been established [ 67, 68], and statistical methods aimed at comparative analysis of these resources continue to be developed [ 69- 72].
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Firstly, wave breaking for a large class of initial data has been established in [3 6].
Over many decades, a huge volume of data has been established by experiments.
For Cu Al Be, this evolution has been shown to be correlated with positron annihilation data, while, for Cu Zn Al, a correlation with neutron diffraction data has been established.
Growing over the past few years, big data has been established by an obscene number of research, studies, and surveys as a holy grail for business success.
Reproducibility of data has been established in previous studies [ 48, 49].
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