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As a result, the language of approximation has become nearly standard in Plato scholarship.
This approximation has become known as the Bayesian information criterion, or BIC for short (Schwarz 1978, Raftery 1995).
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As computational studies are increasingly becoming necessary complements to genetic, biochemical and imaging experiments in unraveling this non-intuitive behavior of cell signaling networks, efficient and easy to use tools that can carry out stochastic simulations of biochemical networks, both in well-mixed and spatially inhomogeneous approximations, have become key technologies.
Cell site location information is no longer confined to crude approximations, but has become increasingly sophisticated and precise.
In recent years, the development of numerical methods for the approximation of SDEs has become a field of increasing interest; see e.g. [4 10] and references therein.
Due to all of the above, it has become a close approximation to the minimal set of genes required for bacterial growth [ 2, 24], so, in order to study the Proteomes of these species, other type of protein-protein networks is necessary.
The concept of statistical convergence was introduced by Fast [23] and Steinhaus [24] and recently has become an important area in approximation theory.
It spread across the internet precisely because the word "Berghain" has become synonymous with a clumsy approximation of counter-culture.
Very recently, the problem of the approximation of complex operators has been causing great concern, which has become a hot topic of research.
The Fourier approximation of signals (functions) that originated from the second theorem of Weierstrass has become an exciting interdisciplinary field of research for the last 130 years.
The question has become, therefore, which model is "most nearly true" and which model, consequently, should be regarded as a "first approximation" in guiding stabilization policy.
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