Sentence examples for quantitative knowledge for from inspiring English sources

A multi-criteria model based on Analytic Hierarchy Process (AHP) method has been proposed to provide decision makers with quantitative knowledge for more efficiently designing AR applications in manufacturing.

We can retrieve quantitative knowledge for assessing an organism's metabolic capacity and use this knowledge for in-lab experiments to develop new strains with advantageous productivity [ 3, 4], or optimizing the cultivation process of existing strains [ 2].

There is an urgent need for quantitative knowledge of soil strength in order to evaluate sustainability of current field traffic.

We feel that the extent of the collected data and insufficient quantitative knowledge of the key parameters for protein/protein interactions in the GABABR- GIRK signaling cascade significantly limits our ability to build an accurate model with a significant predictive value without doing substantially more work.

An accurate quantitative knowledge of olefins solubility in polyolefins is essential for the detailed design and modelling of polymerization reactors.

A quantitative knowledge of the transition between two PCO2 equilibria allows for the prediction of the new PCO2 level long before the period of latency is over.

Quantitative knowledge of the mechanisms involved in the breakage provides parameters for design and prediction.

Quantitative knowledge of the energy landscape of amorphous UO3+x was provided for stability analysis and assessment of conditions for decomposition.

However, the structural and quantitative knowledge available for such processes is frequently limited, and measurements are often subject to inherent and possibly large uncertainties.

The proposed scenario development technique has proven to be a powerful modelling framework for the necessary qualitative and quantitative knowledge integration, and for coping with the underlying uncertainties, which are considered to be a key element in natural hazards risk assessment.

The purpose of this study is to evaluate the use of computer simulations for generating quantitative knowledge as a basis for risk ranking and mechanistic process understanding, as required by ICH Q9 on quality risk management systems.