Sentence examples for unambiguous modeling from inspiring English sources

This is due to the fact that the large heterogeneity in the employed conditions and the continuous changes in environmental parameters in the often used shake-flask cultures, prevent the unambiguous modeling of the cultivation conditions within the computational framework.

Obviously, unambiguous models are crucial for the successful accomplishment of these tasks.

According to the definition, both n-APMI and n-CPMI are partitioning models that splits chemical space into disjoin groups and allow unambiguous model identification.

To predict the PIM1 inhibitory activity of a series substituted aminooxadiazoles, two unambiguous models were developed in this study with topological descriptors.

A systematic development of an unambiguous model of ATC system with its interactions with pilots is claimed in (Netjasov et al. 2010) using Stochastic and Dynamic Coloured Petri Nets (SDCPN).

Since the exclusion of auto-correlative effects is necessary for unambiguous model interpretation, the estimated cross-correlative parameters should reflect the true nature of underlying physical processes.

To identify the most predictive model from the collection of models ℳ for a new chemical compound x, we define a partitioning model that splits the chemical space into disjoint groups and allows an unambiguous model identification.

The electron density for the whole inhibitor was clearly defined and allowed unambiguous model building (Fig 3A).

The creation of a tool-independent format for unambiguous model formulation is the key step for the successful achievement of these goals.

A four-principal-component model (seven, four, three and three items, respectively) fulfilled the Kaiser criterion [ 30] and showed an unambiguous model of an orthostatic-circulatory, digestive and a split component of sleep and daily regulation.

Furthermore, from encoding and billing perspectives, SNOMED codes should be mapped to the International Classification of Disease and/or to Diagnosis Related Groups [ 22] using an unambiguous model [ 23, 24] to evaluate the appropriateness of the SNOMED CT encoding for monitoring health systems.