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If one seeks to control the degree of transfer, as one does in educational settings, it seems useful to analyze transfer behaviour in terms of a number of component processes e.g., stimulus and response similarity, stimulus predifferentiation and response learning, and the symbolic abilities of the learner.
Viscosity, like thermal conductivity, influences the heat transfer behaviour of cooling fluids.
What are the most prevailing theories explaining the anomalous heat transfer behaviour observed in nanofluids? .
Ding et al. (2006) showed the heat transfer behaviour of aqueous suspensions flowing through a horizontal tube.
Hojjat et al. (2011) studied turbulent flow forced convective heat transfer behaviour of non-Newtonian nanofluids in a circular tube.
This could be an important factor influencing the internal flow and natural heat transfer behaviour in a horizontal cylinder.
A mathematical model was introduced to describe the heat transfer behaviour of moist wheat bran beds.
A mechanism to explain the different mass transfer behaviour in forward and back transfer is suggested.
The study showed that cobalt nanoparticles modified electrodes exhibit faster electron transfer behaviour than their oxides.
The flow condition, CNT concentration and the pH level have significant impact on heat transfer behaviour and the effect of pH was observed to be small.
For the state feedback regulator and the disturbance observer existence conditions are derived in terms of the plant transfer behaviour.
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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