Sentence examples for propensity with the from inspiring English sources

Similar is the propensity with the average lift pressure.

Concerning unemployment, our results show that a higher share of unemployment decreases the migration propensity, with the effect reversed when the network increases.

We summarize the apoptosis and proliferation propensity with the normalized and averaged values Apoptosisnorm and Proliferationnorm (Additional File 1), which in the current simulations take the initial values Apoptosisnorm = 0.00 and Proliferationnorm = 0.50, and the final values Apoptosisnorm = 0.70 and Proliferationnorm = 0.25.

It was also observed that substitutions within the core of AChE586-599, or modifying the hydrophobicity and/or aromaticity, affected to some extend the β-sheet propensity, with the strongest effect for F3, W6, Y9, M10, V11 and W13.

We compare the results generated by the PPCpred with the existing methods for the prediction of the crystallization propensity, with the BLAST-based solution, and with the maximum-based aggregation scheme.

The real exchange rate affects Canadian export and import propensities with the USA.

The resemblance between the structural propensities of βSHC and βS echoes their similar aggregation propensities, with the main difference likely to be related to aggregation between these two proteins and being that αS and βSHC exhibit a greater number of inter-residue distances between the N- and C-terminal regions that are shorter than expected for a random coil.

A counterfactual cause is defined as something that leads to a difference in the disease propensity with respect to the same target (population).

The upstream adsorption was utilized to strikingly reduce the wastewater strength thereby alleviating its fouling propensity with respect to the UF membranes during the downstream membrane filtration process.

As previously noted, we first estimate the propensity score with the help of a binary logistic regression in which the dependent variable equals one for customers with social media interactions and zero otherwise.

Following Garnefeld et al. (2013), we first estimate the propensity score with the help of a binary logistic regression in which the dependent variable equals one for customers with social media interactions and zero otherwise.