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Translocation and uptake of nanoparticles can be addressed by cellular models that can also be divided in relatively simple models or more complex ones (Lefebvre et al. 2014).
Establishing a dose-response in analgesic trials is known to be difficult even where direct comparisons are available in relatively simple models such as postoperative pain.
Even if many questions on tissue regeneration can be answered in relatively simple models, in small animals, the level of the load cannot be a critical factor for the success of a tissue-engineered procedure.
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The importance of protein interactions in biology has fueled intense efforts to identify such interactions and a vast repository of data has been accumulated over the years, particularly in relatively simple model organisms that are easier to manipulate genetically and biochemically.
In our relatively simple models, these results can be understood relatively easily, as follows: Multiple experimental results support the importance of TOC1 for circadian clock function.
In this way, even relatively simple models, driven by perturbations in single oncogenic pathways, could be of considerable use, especially when testing drugs targeting those specific pathways.
Model uncertainties in this assessment are minor because relatively simple models were applied and the results were used to identify broad trends and not to characterise individual intakes.
When you start to play around with the mathematical models underlying this kind of behavior, it becomes clear that even relatively simple models can produce complex outcomes, in which tiny changes in starting conditions can have vast consequences for results.
These results suggest that relatively simple models may describe protein dynamics in individual human cells.
The book progresses from relatively simple models to more complex ones, and includes appendices on the ins and outs of running each program.
Using relatively simple models, static and dynamic heat transfer can be modeled with simple circuit analogies.
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