Using our methodology, it can be synthesized in a simple, controllable low cost way.
Due to the easiness of the present methodology, it can be safely applied to other geometric arrangements involving straight and annular fins.
Because of the intrinsic characteristics of the methodology it can be easily applicable with or in conjunction with other proximal sensing devices which can add further detail when recognizing morphological soil horizons.
However, since it lacks a clear description of the methodology, it can hardly be applied elsewhere.
With this methodology, it can take less than a month to build a power model of a complex processor.
From the development and application of this methodology it can be concluded that allows us to assess the probability of CO2 leakage risk of potential areas or sites for the geological storage of CO2 with just a partial knowledge of their characteristics, based on qualitative data and the estimation of qualitative probability.
In addition, as a mathematical methodology, it can be applied to other high-throughput technologies for which a probability distribution function of observed abundances has been computed.
While it is imperative to decipher between reporting and methodology, it can be tempting to draw similar conclusions from both.
Moreover, we have also checked some rare quantitative properties such as the depletion of sodium potassium outside the cell and the pump reversibility that can be addressed easily using model checking, whereas with the other traditional approaches, such as simulation and ODE methodology, it can be difficult.
The system can be used alongside traditional two-factor authentication methodologies, or it can be used to secure accounts where two-factor authentication is not offered or switched on.
