Sentence examples for ones discussed above from inspiring English sources

Some examples of such inequalities related to ones discussed above are presented below.

In addition to the traditional ones discussed above, there are other tasks for which properties have been invoked.

Besides electrochemical approaches such as the ones discussed above, BioFETs have been used as well for detecting dopamine.

From a pedagogical perspective, this means that engaging students in developing design-based computational representational practices, such as the ones discussed above, can be closely aligned with the development of students' CT skills.

The idea of functional relationships between proteins has been extended to include other features together with the co-evolution related ones discussed above, leading to the concept of 'functional neighbourhoods' (Danchin, 2003).

Except for the likely presence of Sr9h, the position of the loci conferring Ug99 resistance in this study suggest that different genes than the ones discussed above could be present in our panel.

In Figure 3, we show a dataset similar to the one discussed above, but obtained for smaller particles, having a diameter of 600 nm.

A different category of data management solutions from the one discussed above is that constituted by a number of online web-based repositories of QC calculations, normally developed by one research group with a very specific scientific objective in mind.

In fig.13c, relative to sensor 6, one can observe a near spherical shape for the ellipsis and a queue, similar to the one discussed above; in fig.14b, relative to sensor 8, a narrower shape along y axis results from the grouping of points inside the ellipsis and the external queue is more similar to the one in fig.13c.

It is worth stressing that, as shown in the latter figures, unlike one-dimensional chains such as the one discussed above, fully three-dimensional models do predict normal heat conduction even when using harmonic potentials such as (8), (9), and (10).

In addition, equation (16) is a particular case of the general SDE d X = f (X ) d t + ∑ k = 1 m g k (X ) d W k. These relationships naturally lead to the introduction of the class of Runge-Kutta τ-leap methods which bears a relationship, similar to the one discussed above, to the general class of Stochastic Runge-Kutta methods for solving SDEs [ 36].