Suggestions(1)
Exact(1)
Investigated results indicate QSPR models given here are easy to apply and have good predictive capability.
Similar(59)
The model given here is successful in showing that this resistance is not the usual resistance due to diffusion and that it is quite prelevant in systems that are chemically similar but other conditions varying widely (Appendix).
This implies that the latter two are more difficult to estimate with the data and model given here (see Figure S7).
In general, we suggest that problems in applying the method to more complex systems arise more from the availability of data than from the theoretical difficulty of adapting the model given here.
Although estimates of the predictive value of these models are given here, much larger pooled data analyses from many centres are necessary to develop robust predictive and prognostic models to allow use in clinical practice.
A summary of the key equations defining the models is given here, while complete details are given in the original references.
Further, due to the same size constraints, only the false discovery rate (FDR) for the "Differentially Expressed" model is given here.
To calculate the fully coupled stress in the flow of short fiber reinforced composites, Latz et al. (2010) uses the half phenomenological Dinh-Armstrong model which is given here for the case of incompressibility bar{boldsymbol{sigma}}^_{text{ph}}= (2bar{eta}_{mathrm{s}}(mathbb{I}^{mathrm{s}} + N_{mathrm{p}}bar{mathbb{N}})[bar{boldsymbol{D}}']/eta_{mathrm{s}})', (16).
Only a partial account of the ways in which this model works can be given here.
Specific attention is given here to the modeling and optimization of three key phases in the life cycle of an innovative drug product, namely, product development pipeline management, capacity planning, and supply chain management.
The HPMs given here may also have other, more general modeling applicability in hydrology, geomorphology and ecology, and so are described here from a general perspective.
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