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The MLR model enabled to compute integral adsorption enthalpies with a precision around 10%.
The identification of two fluorescent matrix constituents through the four-way model enabled to know the matrix contribution in each dilution of the extract.
Results from the evaluations of the model with the existing TPNS and comparison with the existing approaches showed that the developed simulation model enabled to determine the operational parameters with less than 10 iterations.
The obtained model enabled to take into account the effects of heat transfer fluid rate, inlet temperature, sea water rate, basin depth, ambient temperature, wind speed and relative humidity of ambient air.
The model enabled to identify the optimum operating settings (MC = 6.5 g/100 g w.b and DT = 65.5 °C) for maximize butter yield, under which it predicted 42.05 g/100 g d.w.
This experimental model enabled to answer the question whether macrophages exert their influence on cancer cells via CSF-1/CSF-1R.
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Interaction between each model enables to achieve an integrated approach in transport modelling.
In contrast, the 3GPP 3D model enables to scrutinize 2D antenna arrays.
This model enables to jointly simulate the proposed algorithms and the processing architecture.
Thus, the developed validated thermal model enables to predict the component temperatures for concentrating photovoltaic systems.
This model enables to use powerful tools for the discrete and continuous domains.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com