Sentence examples for predictions for engineering from inspiring English sources

However, the strain rate effect was always neglected in existing investigations, thus introducing inevitable errors in numerical predictions for engineering practices.

In the last part, published field tests are used to compare the presented design methods and to identify their potential for reliable predictions for engineering practice.

It is recommended that users apply with caution the MESSI predictions for engineering strains for which the cultivation conditions will be significantly different from the ones used in the GWAS analysis here.

This suggests that the failure mechanism criterion can give a more reliable prediction for engineering applications.

The proposed method can be easily applied to dynamic stresses prediction for engineering structures under random loading.

The metabolic reconstruction itself often leads to the discovery of novel functions, pathways, and phenotypic traits, whereas the reconstructed network can be used for mathematical modeling of microbial metabolism and quantitative predictions for genetic engineering.

An important issue regarding the use of probabilistic predictions for complex engineering systems is characterising the dependence structure among its correlated performance functions, which are driven by dependent or independent basic random variables.

The occurrence of the βαβ motif in a large number of protein families [3], [20] suggests that the N-terminal capping of β-strands by βα-hairpin clamps, akin to the analogous N-capping of α-helices [9], [10], may be a useful property for the refinement of protein fold prediction and for engineering stability in βα-repeat proteins.

Local elastic modulus was plotted against mineral fraction and compared with predictions of engineering bounds for a two-phase composite material.

This paper presents a hybrid prognosis approach of age-dependent hidden Markov model (HMM) and grey model (GM) for prediction of engineering asset health.

Insights from the structure and evolution of these networks can be translated into predictions and used for engineering of the regulatory networks of different organisms.