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There are numerous processes related to the catalytic polymerization of cycloolefins, many of them being of academic or commercial importance.
There are numerous processes capable of causing either driven or passive trends, which by and large are not mutually exclusive and may interact in interesting ways (Alroy 2000; Gould 2002).
A single model component may represent a whole set of biological concepts (e.g. there are numerous processes involved in protein degradation, which is generally modelled as a single entity), while one biological process may require multiple model components (protein production involves transcription, translation and mRNA degradation components).
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There are numerous process modeling tools available (over 100) that can and have been used to support the requirements phase of simulation.
Metrologists will however argue that the machining environment is too hostile and that there are numerous process variables which need consideration before traceable measurement on-the-machine can be achieved.
There are numerous statistical processes that perform regression analysis, however, in the case of kNN, regression can be performed by averaging the numerical target variables of the kNN as follows.
There are numerous mechanisms, processes and structures that affect gene regulation, such as methylation, chromatin structure, regulatory elements, transcription factors, polyadenylation, post-translational modifications and compartmentalization of proteins, and others (for review see [9]).
However, there are numerous other processes occurring simultaneously that may be affecting the system – other host immune responses and resource availability to both the host and bacteria (Goelzer and Fromion, 2011) being perhaps the most significant.
There are numerous calcium dependent processes that are perturbed by the exposure.
Second, there are numerous (often conflicting) processes that contribute to variation in species abundances, including environmental conditions, resource availability and interactions between species (competition and predation) as well as demographic stochasticity.
There are numerous in vivo ADME processes involved after intake of lipid-based formulations which make the concepts more complex for designing the in vitro tests.
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