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Modeling results demonstrate that HyChem models are capable of predicting a wide range of combustion properties, including ignition delay times, laminar flame speeds, and non-premixed flame extinction strain rates of all five fuels.
It is shown that, by including such optimum numbers of non-steady-state intermediates for the various mechanisms the present ARMs exhibit good to excellent performance in predicting a wide range of combustion phenomena under extensive thermodynamic parametric variations.
In sum, Big Five traits play an important role in predicting a wide range of economic and social outcomes.
A particular focus of research has been on the possibility of using these data for predicting a wide range of social phenomena [3] such as stock market fluctuations [4, 5], outcomes in public health [6, 7], movie box office revenues [8], unemployment [9], and election results [10 13].
It has empirical support for predicting a wide range of behaviours [ 21, 22].
Previous research has demonstrated convincingly that several theories are successful in predicting a wide range of health behaviors [ 10, 11].
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In contrast the advantages of LHHW for predicting a wider range of operating conditions were underlined.
The model predictions again accurately predicted a wide range of Nylon experimental data.
MHC-I-binding prediction, which was run through the Stabilized Matrix Method, predicted a wide range of MHC-I allele interactions for the proposed T-cell epitopes.
The model is solved numerically to predict a wide range of experimentally observed phenomena.
These identities also predict a wide range of behaviors that traditional care/justice focused moral identities miss.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com