Sentence examples for measuring or computing from inspiring English sources

It deals with measuring or computing a physico-chemical descriptor of a solid which is correlated to the activity in a specific catalytic reaction.

When the structure is driven at one point, the equations allow one to obtain the kinetic and potential energy, loss factor and other energy characteristics by the most economic way: without measuring or computing the response all over the structure and using only the data measured at the driving point.

This paper reports some recent results from the empirical evaluation of different types of structured molecular representations used in QSPR analysis through a recursive neural network (RNN) model, which allows for their direct use without the need for measuring or computing molecular descriptors.

In the last 20 years QSAR analysis has been characterized by an increasing level of sophistication as technological and computational developments have made it possible to measure or compute a higher number of chemical and physical parameters [2].

The method can be applied to any axisymmetric body for which the mode shapes can be measured or computed.

An emerging class of data-intensive applications involve the geographically dispersed extraction of complex scientific information from very large collections of measured or computed data.

In our opinion, future investigations should take into account not only total plasma concentrations but also free plasma concentrations (either measured or computed with regard to AGP and albumin levels), as well as the tumour genotype.

The optimal prioritization would take into account both a) measured or computed data that reflect inherent properties of chemicals in relation to biological systems, and b) regulatory considerations that factor in human-activity based chuman-activity based and exposure metrics.

In order to get most out of these completely new technologies, methods to experimentally measure (or compute) particle migration are needed to gain sufficient insights for rational design.

The results produced by the predictive modeling procedure are optimally predicted values for the responses and for all model parameters, with reduced predicted uncertainties that are smaller than either the measured or the computed uncertainties.

Therefore, we perform 2×2×2 or 2×2×3 factorial repeated measure ANOVAs or compute so-called 'bias scores' representing differences in the performance of food versus non-food trials.