If the latter conditions are satisfied, discrimination between the rough-walled fracture filled with a homogeneous material and the other two models becomes possible, whereas the parallel-plate fracture with a heterogeneous fault gouge and the empty fracture still show identifiability problems.
It is noteworthy that the modeling became possible only due to the excellent data quality at the Soultz project.
Due to this flexibility when configuring the data model, it becomes possible to formalise huge networks of knowledge (see Figure 1 and Data model configuration) even when concepts as diverse as molecular processes, disease phenotypes or clinical information about patients are concerned.
When socio-economic and situational variables are introduced into a semiparametric model it becomes possible to accept that the whole VTTS distribution is observed.
Using this model it becomes possible to provide clear and unambiguous definitions of textural parameters such as firmness, springiness and rubberiness, and to quantify their time-dependence and interrelationship.
With this model it becomes possible to explain the polarization of votes between two candidates, understand the small margin of victories frequently observed for different elections, and analyze the polls' impact in American, Canadian, and Brazilian ballots.
With such models, it becomes possible to identify the specific representations encoded in patterns of brain activity and to map them across the brain.
While these inferences are as strong as current imaging technology permits, super-resolution methods are rapidly advancing and it will be important to further test these models as it becomes possible to visualize the content and movements of individual carriers in real time in living cells.
Thus it becomes possible to model and utilize the quantitative nature of ChIP-seq data for investigating the biophysical rules of protein-protein and protein-DNA interaction.
In particular, when biosimulation models are integrated with ontologies, it becomes possible to translate the structure of a model (within a certain modelling language) into a representation of the biological phenomena that the model represents.
