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The contributions of this paper are both a description of assumptions commonly made regarding the behaviour of clocks in computers, and empirical results demonstrating that real world behaviour diverges from the idealised or assumed behaviour.
The power calculations, including a detailed description of assumptions and scenarios, are described in detail in the supplementary file.
The web extra appendix provides a detailed description of assumptions and calculation steps used to derive the model inputs from available data outlined in this section.
Furthermore, the parameters of generative models provide a quantitative and explicit description of assumptions implicit in operational approaches (Bach & Friston, 2013), thus allowing for rigorous testing of those assumptions.
These risks can be mitigated by initially developing the model for a range of purposes, with a clear description of assumptions made, by using version management with a description of changes between versions and by adopting a software architecture that supports replacement and extension of components without affecting the other components.
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However, this also requires adequate description of the assumptions made, and preferably a sensitivity analysis which allows for quantifying the risks of the assumptions.
Inclusion of models requires a clear description of the assumptions and proper sensitivity analysis to verify the uncertainty.
The rest of the paper is organised as follows: Section 2 introduces the system model under consideration including a description of the assumptions regarding the channel model and CSIT accuracy.
The detailed description of the assumptions and methods used by the "Curry 4.6" software for MRI processing and source reconstruction may be found elsewhere (e.g., [19] [21]).
2 The description of important assumptions underlying indirect comparison may not be clear in some methodological studies.
Additional file 2 Stepwise derivation of the reaction rates of the time-continuous model and description of the assumptions and of the validity criterion used for the derivation of the stochastic propensity functions.
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