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The proposed probabilistic multiscale modelling framework allows to consider the uncertainty associated with the use of CNT nanocomposites for various applications.
This deterministic modelling framework allows describing spatio-temporal continuous system, where protein products are continuously produced through the balance of activation or repression.
In addition, the probabilistic modelling framework allows for analysis of the value of reducing the uncertainty surrounding particular parameters, which can help inform future research priorities, since it was not a formal part of the present analysis.
An integrated assessment of these environmental changes, performed using the modelling framework, allows a clear distinction of priority regions for soil conservation policies during the next 20 years.
The modelling framework allows the designer to verify the impact of execution platform and application mapping on the schedulability (meeting hard real-time requirements), power consumption and memory utilization, while taking communication into account.
The modelling framework allows us to measure the effects of different genetic mechanisms that may cause heterosis and shows overdominance and positive epistasis to be the strongest effects.
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To address this issue, we have developed a novel test of association within a multinomial regression modeling framework, allowing for heterogeneity of genetic effects between sub-phenotypes.
Using the linear modeling framework allowed us to control for relevant covariates such as age, years of disease duration, gender, anti-citrullinated protein antibodies (ACPA) and rheumatoid factor (RF) status.
Nevertheless, the recent development of integrated modelling frameworks allows for the exploration of the co-development of human and natural systems under scenarios of global change, potentially illuminating the main drivers and processes in future land system change.
A joint discrete continuous modeling framework allows us to examine the tendency to travel by different modes using a multinomial structure, and trip length using a hazard formulation.
The proposed modeling framework allows to smoothly integrate and compose different building blocks representative of a cascade of devices.
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