Their excellent fit with all four of the experimental curves validates the kinetic model we applied to interpret the PL data.
Here, using endoglucanase Cel5A from Thermobifida fusca (TfCel5A) as a model, we applied molecular dynamics simulations to explore the dynamic behavior of the enzyme upon substrate binding.
To illustrate the capability of the proposed model, we applied the model to the biomass-derived liquid fuel supply system of Jeju Island, Korea.
For the logistic growth model, we applied Eqs.
For each model, we applied the FLPA methodology described in Section 4.1.
Similarly as for the Jasinski model, we applied GPST to understand the dynamics of the SS solution.
To quantitatively evaluate the performance of the proposed model, we applied similar quantitative measuring methods to [17].
To validate the developed model, we applied it to SEVIRI and TMI data from October 2008 to March 2009.
To obtain the most comprehensive proteomic data sets from this CAD-associated mouse model, we applied both MALDI and ESI-based mass spectrometric (MS) platforms coupled with two different schemes of multidimensional liquid chromatography (2-D LC) separation.
In order to solve the model, we applied the fuzzy approach suggested by Jimenez et al. (2007) which consists of a three-phase interaction algorithm.
To validate the no-reference bitstream model, we applied the model to the EPFL-PoliMI and LIVE Wireless Video Quality Assessment databases, and we calculated the linear correlation coefficient with the subjective values.
