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Exact(37)
BM heterogeneity as well as visual analysis may be important for predicting relapse.
This work establishes that nonFourier heat conduction can be important for predicting solid-phase Arrhenius reaction rates.
Immigrants' capabilities based on factors such as discrimination or human capital have shown to be important for predicting integration outcomes (e.g. Rydgren, 2004; Van Tubergen, Maas, & Flap, 2004).
Our results will be important for predicting the energetic trends of other catalytic reactions and for designing a better catalyst for the industrially important reaction.
Nevertheless, combining both methods (shelf-life simulation and storage of specimens) may be important for predicting the degradation susceptibility of adhesive blends before polymerization, as well as after their application to the tooth substrate.
Immigrants' aspirations have shown to be important for predicting socio-economic performance (e.g. Portes, McLeod, & Parker, 1978) and their general relevance have been recognized by integration studies (Freeman, 2004).
Similar(23)
MHC haplotypes are important for predicting graft compatibility and for prediction of the risks and protectivity of many phenotypes, notably type 1 diabetes [ 79].
Rheology analysis of granular flows is important for predicting geophysical hazards and designing industrial processes.
Modeling of weld bead shape is important for predicting the quality of welds.
Understanding the geographical diffusion of diseases is important for predicting and containing diseases.
Which classifications are predicted well by environmental variables, and which environmental variables are important for predicting them?
More suggestions(16)
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