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Given such a view, numerical simulation analyses have often employed low price elasticity (e.g., −0.1 or almost 0); however, these studies have failed to empirically examine the validity of such assumptions.
Simulation analyses have shown that good results are obtainable even with a fair degree of genetic heterogeneity and phenocopy, and incomplete penetrance [20].
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The empirical and simulated data, as well as the python code used for simulation and analyses, have been deposited in the Dryad repository (datadrayd.org; doi 10.5061/dryad.ht0hs upon publication).
While the simulation-based analyses have compared tailored screening strategies that recommend different screening rates to different population subgroups based on some risk measure (e.g., [ 18, 19, 21]), we have not witnessed any optimization work on identifying age-dependent CT screening strategies, which are, in some sense, a subset of risk-based strategies.
Numerical simulations and security analyses have been carried out, and the results demonstrate the effectiveness and security performance of the proposed system.
Simulations and security analyses have been carried out and the results illustrate the superior security and high efficiency of the proposed scheme.
Simulations and parametric analyses have shown that the most efficient and effective way to prevent the outbreak of a long-term exponential growth of the catalogued debris population would be to remove enough cross-sectional area and mass from densely populated orbits.
The computational simulations and mechanistic analyses have thus yielded specific predictions concerning those structural and dynamic elements in STX that can be modulated by electrostatic interactions of STX with PIP2 lipids.
Simulations and large scale analyses have shown that missing data may not lead to inaccuracies in phylogeny reconstruction.
In addition to those studies using input output models to integrate the relationship between economic and environmental sectors, many simulation models for environmental impact analyses have also integrated environmental components.
Several previous analyses have used simulations to estimate the amount of data necessary to resolve difficult phylogenetic problems.
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