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The harmonic superposition method, AR model method and wavelet reconstruction method are well used to generate the time histories of fluctuating wind velocity.
The efficiency and capacity of the present method are well demonstrated with several numerical examples.
Chromatography as such is an easily scalable technology with few and simple scaling parameters, if column and packing method are well designed.
Copper dispersion and particle size were obtained from N2O decomposition method are well in agreement with the findings derived from XRD and TPR.
Additionally, when the particle packing model, substitutive materials and controlled casting method are well utilized together, an optimized UHPFRC with low environmental impacts and high materials efficiencies can be obtained, which could promote a cleaner construction production in the near future.
Detailed mathematical and statistical descriptions of the RTL method are well documented in Huang (2006).
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Moreover, the SiNWs fabricated by this method are well-discrete and vertically aligned, which is critical for subsequent coating of other layers in device fabrication.
The navigation models applied in this method are well-established in the research community and cover a wide range of typical user interaction scenarios with information systems in general, and recommender systems in particular.
Among the methods using bilinear shear springs, the assessment method proposed by (Tomazevic 1978) which is usually known as the POR method and the FEMA 356 method are well-known and extensively used.
The maximum likelihood parameter estimation method and AIC model order selection method are well-known and widely used system identification methods from experimental data.
The popularity of the lean startup method is well deserved.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com