Sentence examples for as the underlying process from inspiring English sources

Exact(2)

We assume a concentration gradient and properties change of electrolyte driven polysulfides diffusion as the underlying process for this observation.

Evolutionary models and posterior predictive approaches favoured an early shift to a new adaptive peak over decreasing rates of evolution as the underlying process driving the early divergence of locomotor phenotypes.

Similar(58)

Since the equations for c k (t) describe the evolution of a distribution, they are sometimes described as master equations for the underlying process [ 34, 35].

This clustering yields patterns of modifications that can be correlated to the function of the chromatin, such as transcriptional start sites and enhancers, or to the underlying process, such as transcriptional elongation by RNA polymerase II.

At present this is probably one of the best indications for He/O2, with the important caveat that one should be careful not to misinterpret the ensuing improvement as reflecting an improvement in the underlying process.

Distribution-free or nonparametric process control schemes are often preferred over traditional schemes as these schemes do not require any assumption related to the underlying process distribution, such as normality.

Once the obtained numerical results confirmed the outperformance of SADE, it was used to carry out a sensitivity analysis including parameters of the cost model and those concerned with the underlying process, denoted as u and v.

The underlying process that is known as 'epithelial-to-mesenchymal transition' (EMT) enables transformation of epithelial into highly mobile mesenchymal cells, which is required for embryonic development.

Along the same line, the ER-Golgi transport regulator, Rab1, picked up in a yeast screen as a suppressor of α-synuclein toxicity, showed rescue of different toxicity phenotypes related to α-synuclein in mammalian neurons as well, indicating that the underlying processes are evolutionarily conserved (Cooper et al, 2006).

Future research is needed to accumulate more knowledge on the architectural dynamics of networks at organizational and industry level as well as about Pareto distributions and the underlying processes that generate them.

More sophisticated statistical methods for deriving growth and yield models (e.g., Bayesian approaches or Big Data Analytic approaches) have seen more limited applications to date, but may result in more robust model behaviour as well as allow better insights into the underlying processes driving tree and stand development.

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