This deterministic modelling framework allows describing spatio-temporal continuous system, where protein products are continuously produced through the balance of activation or repression.
Based on the Open Cloud Computing Interface (OCCI) standard, we propose a generic model that allows describing the needed resources to render autonomic a given Cloud resource independently of the service level (Infrastructure, Platform or Software).
In this paper, we propose a rich information model that allows describing autonomic Web services based not only on QoS data but also on additional information such as service specific adaptation actions.
The model, based on solid probabilistic principles, allows describing sleep on an arbitrarily fine time scale and allows considering sleep as a continuous process of transitions between a larger number of sleep sub-states (microstates) in contrast to the conventionally defined five sleep stages of R&K.
In contrast to the shrinking core model, the volume reaction model allows for describing the decrease of the measured position of the reaction zone in good agreement with the optical and elemental analyses of the reacted adsorbent pellets.
Contrary to previously introduced substituional models based on an the assumption that all sites of the protein undergoes the same substitution process during evolution, the Bayesian mixture CAT model allows to describe distinct substitution processes at the amino-acid replacement occurring in different sites of a protein alignment [26].
The whole point of this paper is whether a heterogeneous model allows to describe qualitatively new phenomena in comparison to the corresponding homogeneous model.
As described, the fit model allows us to describe what we can do to influence and balance the fit.
This context-dependent model, although consisting of a collection of reversible models, allows for describing non-reversible evolutionary phenomena, such as the CpG-methylation-deamination process (see e.g. [ 21]).
The model allowed to describe qualitatively the high degrees (up to 99%) of gas conversion of NOx obtained using a large scale plant.
