Sentence examples for modelling environment as from inspiring English sources

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The paper presents the general architecture of this modelling environment as well as more detailed descriptions of the implemented rules and applied solutions.

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The statistical data analysis and simulations were performed with non-linear mixed-effects modeling using NONMEM, version VI, level 2.0 (Icon Development Solutions, Ellicott City, MD, USA) with gfortran (http://gcc.gnu.org/fortran/) as Fortran compiler, and Piraña (9) as modeling environment.

NONMEM (v7.2.1, Icon Development Solutions, Ellicott City, MD) was used for modeling, using PsN toolkit 3.4.2 and Piranã version 2.8.0 (ref. 49) as modeling environment.

Thus, the objectives of this study were to characterize the transcriptome of planktonic cells and biofilm cells cultured at difference stages of biofilm formation cycle and to develop a protocol to grow an A. pleuropneumoniae biofilm under low-shear force in a drip-flow apparatus, a system with an air-liquid interface that can model environments such as the lungs [ 22].

On the other hand, for the 3D analysis, 15-node wedged elements were used to model the soil environment as well as the ballast and sleepers.

Consider the following scenarios that show the importance of recommendation models in a pervasive environment as well as a mechanism to filter dishonest recommendations in such models: Scenario 1. Bob is an employee of a Paris-based multinational company and, due to official commitments, travels frequently between France and the USA.

Our results demonstrate the necessity of evaluating and modelling in-host environments as carefully as possible if we aim to understand in-host microbiology.

We focus on stochastic games, which can model interaction with an adverse environment, as well as probabilistic behaviour arising from uncertainties.

To model the native ascites tumor environment as closely as possible in vitro, we analyzed bulk ascites cell pellets, which in addition to CD8+ and CD4+ T cells, contained resident tumor cells, Tregs, B cells, NK cells, and CD14+ cells (Table 2).

The determination of these values will allow for the design of a better model of the cellular environment as well as aid in the design and fabrication of artificial corneas.

We also provide a mathematical throughput model of the coexistence environment, as well as an adaptive transmission probability control scheme for the RoF AP using the ATRAS scheme.

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