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Practitioners can in principle describe the sensitivity pattern of a model Y= f X1,X2,…,Xk) with k uncertain input factors via a full decomposition of the variance V of Y into terms depending on the factors and their interactions.
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Ideally, the positive patterns of a model would cover exclusively positive observations, while its negative patterns would cover only negative observations.
From tests of a suite of pharmacological inhibitors of small GTPases, actomyosin-based contractility, or actin microfilament integrity and dynamics, cytochalasin D and jasplakinolide treatment of cells were identified to result in altered ECM patterning of a model TSP1 trimer.
A visual comparison was carried out between the numerical simulations and the skin shear pattern of a scale model in a wind tunnel.
The results of this study overall demonstrate a clear pattern of a unidirectional effect model, specifically a child effect model [ 25, 43] to describe the data.
Since there are no data that contain outbreak patterns, the use of a model is key to providing realistic outbreak patterns that can accurately be used to evaluate these statistical detection methods.
The results reveal the existence of internal sequences in the coal seam, corresponding to recurrent patterns of a palaeogeographical model proposed for a littoral domain.
This illustrates the importance of carrying out both classical and inverse metamodelling to gain a more detailed insight into the sensitivity patterns of a complex model.
To the best of our knowledge, this is the first closed example of Turing pattern formation in a model of a vital step of the cell metabolism, with a built-in mechanism for changing the diffusion length of the reactants, and with parameter values that are compatible with experiments.
In this paper we have provided the first closed example of Turing pattern formation in a model of a vital piece of a cell's real biochemistry, with a built-in mechanism for the change of the morphogens diffusion length, and with parameter values that are compatible with experiments.
We estimated Tajima's D and Fu's F to test whether patterns of sequence divergenece in mtDNA followed the pattern expected under a model of neutral evolution.
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