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Since the existing retrofit methodologies for heat exchanger networks can not be applied to cases with condensing air, we use thermodynamic simulation models presented earlier to assess the effects of possible changes on the existing heat recovery systems.
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However, the models presented in [28 30] do not incorporate any biochemical reaction possibilities.
Statistical analysis of data shows that the models presented by Uzan (1985, 1992) and Witczak and Uzan (1988) are desirably efficient to predict the Mr values while the model presented by Johnson et al. (1986) has the least certainty.
Thus, a further exploration and a deeper analysis of the four model parameters is presented next.
The conceptual/geological models presented by KML (1999b), Noorollahi and Itoi (2011a, b), Porkhial et al. (2010a, b), Khojamli (2012) and Sabzemeidani (2016) are all noteworthy.
The 2-D models presented in the 1980s were primitive and showed lower crustal conductors in the back-arc (Ogawa et al. [1986]; Ogawa [1987]; Utada [1987]).
In linking together both environmental and genetic factors, Kinney and colleagues [53] suggest that many of the environmental factors included in the models presented by Currenti (2010) [60] could well be acting through the generation of DNMs.
The LC950/SG (LaVie C) is the strongest model of the notebooks NEC presented today.
This analysis resulted in 3,286 models, presented in Table 1, that were classified according to the criterion described in Methods section.
The model includes also the modelling of pressures levels and part load operation unlike the model presented in earlier work.
There have so far been few mixture models: rare examples include two models presented by Rhoades and Gerstenberger (2009).
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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