Sentence examples for prediction of evolution from inspiring English sources
However, the reduced contribution of political orientation to the prediction of evolution acceptance when religiosity and trust in science are added to the model suggests that there is likely substantial overlap between the two other predictors and political orientation.
Evolutionary Systems Biology (EvoSysBio) is defined here as working toward integrated interactive overviews of dynamic multi-dimensional fitness landscapes that are testable in the real world and enable the prediction of evolution.
At the Evolution 2010 meeting in Oregon in June 2010, a symposium on 'Moving towards a science of evolutionary prediction' suggested that the next challenge will be to improve the accuracy of evolutionary prediction (http://www.evolutionsociety.org/SSE2010), although the prediction of evolution is still difficult.
*minutes, †minutes, ‡doublings/hour, §10-9 ml/min £Under phase II conditions; under phase I conditions the optimal lysis interval is 2.7 min and fitness is 37.3 db/hr The failure of the mean lysis interval to adapt closer to the optimum over ~120 generations means that even qualitative predictions of evolution failed for ΦX174C.
A comparison of the proposed model with experiments is reported and a validation for the prediction of microstructural evolution, as well as the evolution of the latent heat and latent heat capacity, is provided.
However, we are currently unable to offer any sort of effective predictive model ourselves, and believe that prediction of viral evolution remains a daunting problem.
The AUC of T1 endocan concentrations for prediction of poor evolution is shown in Fig. 3.
The nonlinearity of these phenomena represents a serious obstacle to the prediction of the evolution of the relevant system variables.
In tandem, a computational model of the degradation is developed for improved prediction of the evolution of the elastic modulus.
The prediction of sandbank evolution is extremely important for coastal engineers and managers.
This model also allows prediction of the evolution of the risk over the lifetimes of the exposed individuals.
