Sentence examples for predictions to avoid from inspiring English sources

Exact(3)

Shear failure of concrete elements reinforced with Fiber Reinforced Polymer (FRP) bars is generally brittle, requiring accurate predictions to avoid it.

Due to the presence of interconnected pores and additional porosity for the manufactured foams, a correction equation was introduced to the predictions to avoid mismatched results originated from the differences between the foams and the FEA models.

If a group of genomes are highly similar to one another in their sequences, then the orthologues information among them will not be used for their respective binding site predictions to avoid counting non-functionally conserved sequences.

Similar(57)

In contrast, our approach applies long-term prediction to avoid violations before they happen.

Zahedi and Ismail [20] have proposed the route maintenance approach for link breakage prediction to avoid link breakages in MANET.

Increasing numbers of Geostationary Earth Orbit satellites have led to the requirement of accurate station keeping and precise orbit prediction to avoid collision between satellites.

There are two major challenges in the current high throughput screening drug design: the large number of descriptors which may also have autocorrelations and, proper parameter initialization in model prediction to avoid over-fitting problem.

However, repetitive sequences are typically masked for cCGI prediction to avoid false positives (21).

This observation clearly shows that Phobius takes advantage of signal-peptide prediction to avoid misidentifying signal-peptide regions as TM regions.

Although an integrated approach seems reasonable, large ad hoc observational studies should define the most parsimonious approach to risk prediction to avoid unnecessary and expensive testing in different clinical settings.

In addition to increased interpretability and translatability, modeling approaches can provide a strong 3R's (reduction, refinement, replacement of animal usage) benefit, as they allow for greater insight to be drawn from smaller numbers of animals and can use prediction to avoid unnecessary studies.

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