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Using quantum chemical modeling of the infrared spectra of Nafion®, it was shown that a model system consisting of two triflic acid (TfOH) molecules accurately predicts the process of deprotonation in Nafion® involving the addition of water molecules.
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The aim of this work was to model and predict the process of bioethanol production from intermediates and byproduct of sugar beet processing by applying artificial neural networks.
Although predictions are in good agreement with experimental data, the work was unable to predict the process of crack growth as it was based on stationary crack analyses only.
Among many things, this requires understanding and predicting the process of cross-pollination between the different varieties cultivated on a given landscape.
Simultaneously, many mathematical models have been proposed to describe and predict the process of NF.
With the characterized viscoelastic properties of TMV superlattice, we are now able to predict the process of tissue regeneration around the superlattice where the time-dependent mechanical properties of scaffold interact with the growth of tissue.
Being stochastic model based, the SIG method is able to calculate and predict the process of co-expression change.
Assessment of regional alveolar recruitment and derecruitment during protective respiratory therapy in lung failure is necessary to predict the process of ventilatory therapy and to avoid pulmonary complications.
In this study, ultrasonic measurements were found to predict the process of cartilage regeneration using tissue-engineered cartilage as a minimally invasive method.
Determining when a slope will fail is a considerably more difficult challenge, largely due to the difficulty of observing or predicting the processes of material strength degradation.
The model was able to predict the process performance in terms of yield, productivity and capacity utilization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com