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When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less attention.
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The reason is that with the unbiased model, the biases are explicitly modelled (parameterized) and thus the model strength is enhanced and the ambiguity precision will be improved as compared to the solution obtained with the biased model.
The modeling tool is a binary classifier, and thus the model predicts whether the chemical is toxic or not.
There are many PDB coordinates of various E2 proteins, and thus the model structures of Ube2g1 could be readily prepared by using various homologous modeling programs.
This parameter can be measured independently from tissue sections and thus the model could be used to predict tumour growth.
Theoretical and predicted values were in agreement and thus the model was found to be significant.
The scale-up experiments were predicted precisely and thus the model validated.
However, for the complex practical systems, system models are generally unavailable, and thus the model-based approaches may be invalid.
The characteristic parameters as well as the ratio of temperature gradient are proposed, and thus the models are derived from the regression analysis.
Former studies and thus, the models built for estimating the critical wind velocity are all arbitrarily assuming that the fire takes place at the centre of the tunnel.
This can be achieved by performing experiments designed to increase the accuracy of the parameter estimates and, thus, the model predictions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com