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The integrated assessment approach combines both socio-economic and biophysical approaches to determine vulnerability.
This approach combines both cheminformatics (SMILES to 3D using OpenBabel) and computational chemistry (semi-empirical calculations using Gaussian09).
Our approach combines both hand and finger tracking in the space on and above a multi-touch surface.
Specifically, the approach combines both additive and multiplicative watermark embedding and is based on a square-root embedding equation operating in the wavelet domain.
However, in contrast to this previous contribution, which is focused on a model of a representative consumer and horizontal differentiation, our approach combines both horizontal and vertical differentiation among platforms in the context of a linear Hotelling model.
This hybrid approach combines both analytical and simulation modeling based on the development of independent mathematical and simulation models of the supply chain network, which are combined together for problem solving.
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Their novel approach combined both classical and quantum physics and now enables us to understand how very large molecules react.
A hybrid approach combining both macroscopic and microscopic traffic flow models is used in our highway mobility model.
This approach can be best characterized as a hybrid approach combining both nonparametric and parametric methods using the chirplet as an underlying model of the biomedical signal.
Rosenbaum and Rubin suggested that to obtain covariate balance, an approach combining both the propensity score and covariate matching is superior to the use of either strategy alone [26].
Thus, we propose a hybrid approach combining both macroscopic and microscopic traffic flow models as an improvement to [19], where we used only the macroscopic traffic flow model.
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