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Pressure drop results and axial dispersion values obtained for non-porous pellets using pulse techniques can be predicted from existing packed bed correlations.
Using multiple regressions, self-reported changes in teaching can be predicted from existing levels of motivation and the constructiveness of the discussion between students and the classroom teacher.
Taking advantage of recent advances in whole genome orthology mapping [ 30] and the availability of large-scale eukaryotic essentiality datasets [ 31- 33], we have created a database to analyse how essentiality can be predicted from existing data from model eukaryotes.
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Based on an existing energy model the location and number of the energy minima along which the hierarchical sampling takes place is predicted from existing data points without any a-priori knowledge, using a predictor function.
Using them, crater dimensions and excavated mass of crater on cylindrical surface of any radius can be predicted from the existing knowledge of those for flat surface.
Using state-of-the-art machine-learning techniques we showed that future changes in the cognitive salience of contacts can be predicted from pre-existing (and potential) interactions, both in terms of communication and propinquity behavior.
The BIPs cannot be predicted a priori from existing theory, but they can be regressed from VLE experimental data.
Therefore, waveform changes long after can be predicted through the existing data.
However, the former scenario can be predicted using already existing interaction maps.
The missing values are predicted using existing values from other pre-defined variables in an imputation model.
In addition, we reanalysed our data using multiple imputation (MI), in which missing data are predicted using existing values from other variables (White et al, 2009).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com