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This set of models is used to derive a nominal plant and an uncertainty set.
This set of models is also suitable for TCP/IP traffic, with the advantage of low complexity implementation.
Moreover, this set of models allows for the generation of further targets for testing, for example, phosphoenolpyruvate (Ppc), aspartate aminotransferase (AspC), and glutamate dehydrogenase (GdhA).
The finalization of the ITER VV design enables this set of models to be considered ready to use in plasma-physics computations and the development of ITER simulators.
Furthermore, these models demonstrate some predictive capability, as starting from the reference producing strain (overexpressing desensitized dihydrodipicolinate synthetase (dapA*)) this set of models is able to predict that the desensitization of aspartate kinase (lysC*) is the next rate-controlling step in the l-lysine pathway.
From this set of models, we selected the most parsimonious (i.e., the model with the lowest AICc).
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This set of model variables was then used to calculate exposure.
Thus, the analysis of this set of model organisms indicates that elevated protein content is a general property of mitoribosomes, whereas a reduction of rRNA content is not.
This set of model networks also generated network-wide bursts within 200 300 ms following brief focal glutamatergic stimulation of five or more constituent neurons in agreement with focal glutamate un-caging experiments in neonatal mouse slices, which showed that simultaneous stimulation of 4 9 preBötC neurons can trigger inspiratory bursts with similar latency (Kam et al., 2013b).
This is applied to the set of models that can be factorized into a rational MIMO model in series with left/right diagonal (multiple) delay matrices.
The best-supported model in this set of candidate models included maximum temperature and an interaction between relative humidity and treatment (Table 1a).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com