Approximate direction relations are helpful to model directions concerned with both crisp and uncertain regions; they therefore can play important roles in handling uncertain data (in our case, querying uncertain data).
Moreover, the annotations are helpful to model documents/sections of the SAD template that are partially completed (or even empty), or to refine the representation of documents that are not accurately described by their textual contents (e.g., documents that contain many images and little text).
"Eileen was the first to start everything that was helpful to models and their agents," Nina Blanchard, who sold her namesake agency to Ford in the 1990s, told the Hamilton Spectator some years ago.
In many cases, it can be helpful to simulate the model behaviour using a stochastic or hybrid algorithm [ 4], which can yield more information than a deterministic solution can provide.
It may be helpful to explicitly model these poses in a mixture model that represents the onset and ending, as well as the epitome as separate model components.
The ability of a model in assimilating measurement data will be helpful to improve model prediction.
In the development of mathematical models for proximate questions about multimodality, it would be helpful to design models that can predict how multimodal components could be combined or that can predict response outcomes of different combinations (Partan and Marler 2005).
Furthermore, more theoretical and empirical studies would be helpful to assess our model assumptions and to develop improved models.
In order to decipher this phenomenon, it might be helpful to employ a model that was established some 50 years ago: the theory of cognitive dissonance.
Perhaps a bit more information in the figure legend would be helpful to explain the model in simple terms to the reviewers (and like most readers of eLife, we presume) who are not mathematicians.
