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Rigorous analytical and empirical formulas have been given to model various phase noise sources and spurious components and to predict their impact on the overall synthesizer noise performance.
In recent years, much attention has been given to model development and risk assessment procedures for reproductive toxicity, but the specific area of developmental neurotoxicity (DNT) has been relatively neglected in testing and risk assessment studies.
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An effective probabilistic algorithm is given to model the firing rate of the neurons, while the noise sources are coupled.
Stronger consideration should also be given to model 5, in which pleiotropic effects are the result of cardiovascular risk reduction in and of itself.
To solve the optimization problem a hybrid algorithm, named HS-GA, is provided, based on genetic and harmony search algorithms, and a load flow method is given to model different types of DGs as droop controller.
The results suggest that the model formulation can be effectively utilized to assess monitored natural attenuation and source remediation options if careful attention is given to model calibration and prediction uncertainty issues.
Moreover, special attention is given to model the dynamic aspects of the relationship between output and labour market outcomes.
Moreover, special attention is given to model the dynamic aspects of the relationship between output, employment and working time.
In ADAPT 5, the choice is given to model IIV in model parameters using either a normal or a log-normal distribution.
The identification of (possible) functional sites can be formulated as an algorithmic problem, provided a mathematical abstraction is given to model TFBSs.
To achieve sufficient accuracy in this relation, focus is given to modelling of mean stress relaxation.
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