Sentence examples for modeling approach applied from inspiring English sources

Present report depicts the homology modeling approach applied in the construction of molecular structure of Brugia malayi GST (BmGST) followed by its docking simulation with available antifilarials such as diethylcarbamazine, albendazole, Butylated Hydroxyanisole (BHA) and substituted chalcones.

Four different topics will be covered: (1) hierarchical modeling approach applied to modeling olfactory receptors, (2) stabilization of leucine zipper coils by introduction of trifluoroleucine, (3) modeling response of polymers sensors for electronic nose, and (4) diffusion of gases in amorphous polymers.

The first geophysical modeling approach applied to the Bradys gravity data is a fully unconstrained inversion to create a 3D model with heterogeneous density distribution.

A reasoning Boolean operation based CAD modeling approach applied to construct heterogeneous material objects is presented.

This section aims to explain the predominant statistical modeling approach applied in speech synthesis, i.e., context-dependent multi-space probability distribution left-to-right without skip transitions HSMM[3, 14] (simply called HSMM in the remainder of this paper).

However, in contrast to traditional practice, the modeling approach applied in this study does not include any adjustable parameter to be regressed with hydrate equilibrium data and it could be used directly as a predictive tool.

This article describes a microstructural-based high cycle fatigue strength modelling approach applied to different cast Al-Si alloys used in an automotive context.

The general linear modelling approach applied to these data revealed that photosynthesis at each temperature was additively dependent on stomatal conductance, internal CO2 concentration and photon flux density.

The present work investigates the different modeling approaches applied to the fluidized bed gasification systems.

We repeat this experiment to demonstrate CheS-Mapper 2.0 functionalities, and subsequently compare two (Q SAR modeling approaches applied to this data.

An examination of the modeling approaches applied in the reviewed literature shows a distinct preference towards statistical methods (Table 1).