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This work gives an outline of the methods and tools needed to model complex chemical systems.
In the section "Experimental/Methods," instruments and datasets are first briefly described [see also Kantha et al. 2017] and a short outline of the methods used for deriving the atmospheric parameters from the different datasets is given among with references for more details.
In addition, this section presents the IRYSS-COPD Study in which the proposed methodology is to be tested and validated, with a detailed outline of the methods used for validation purposes.
An outline of the methods is given in Figure 1. S. cerevisiae pathway names and their constituent genes/proteins were retrieved from ConsensusPathDB (CPDB) ([ 17]. Pathways were represented as sets of genes. The original data set consisted of 1050 pathways with 2114 genes.
The purpose of this paper is to provide an outline of the methods generally adopted to estimate adjusted summary measures of associations, different from the hazard ratio, in time-to-event studies and to present a new method based on transformation models.
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Theoretical outline of the method is addressed.
You can find an outline of the method by Kaspersky Labs here.
Figure 2 shows an outline of the method used which will first be discussed before presenting experimental results.
The paper presents a general outline of the method of stochastic response analysis of suspension bridge subjected to randomly fluctuated wind with time-dependent mean velocity.
The paper briefly introduces the modeled task, provides an outline of the method, presents the results of modeling and discusses them, stressing new opportunities for market analysis and directions of further work.
In this paper, we use the finite difference method because of its simplicity, and a short outline of the method is given below.
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