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For a given subpopulation c q, the bioactivity response obtained from an animal subject is expected to be Y(w| c q ) = Y x, c q ), a continuous function of the quantitative factors x, while subjecting to the cross-subject random error ε(w| c q ) = ε x, c q ).
Indeed, the interface between healthy pulmonary parenchyma and surrounding structures (that is, thoracic wall, mediastinum, diaphragm, hilar vessels and main and lobar bronchi) was perfectly recognizable, regardless of the applied mAs, and the difference between their densities allowed the use of the automated function of the quantitative analysis software to outline the regions of interest.
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The goal of the study was to examine objective functions for the quantitative prediction of the accumulation rates of storage compounds during conditions of nitrogen-limitation and carbon-excess using the iMT1174 metabolic network.
Molecular imaging using PET in small rodents requires commonly the knowledge of the input function of the tracer (quantitative and kinetic studies of the metabolism, development of new drugs or new tracers, etc).
Whole genome expression profiling using high throughput microarray platforms has been a powerful tool used by investigators to create a global picture of cellular function through the quantitative measurement of mRNA of thousands of genes in parallel.
Despite all this interest and the successes of phyletic vectors in prediction of protein function, the quantitative properties of phyletic vectors, and of distances between them, remain to be studied in detail.
This article provides details about the usual analysis of systolic function from the quantitative and qualitative points of view; it also explains other methods that do not require specific software.
Information about the enzyme kinetics in a metabolic network will enable understanding of the function of the network and quantitative prediction of the network responses to genetic and environmental perturbations.
From the numerical investigation of presented examples, it is concluded that the convergence of FORM does not depend on the curvature of design points of the limit state function, and the quantitative index for identifying the convergence of FORM iterative computation is the Lyapunov exponents of non-linear map corresponding to that limit state function.
Modern tools for the analysis of cellular function aim for the quantitative measurement of all members of a given class of biological molecules.
Structural determination and synthesis, which may be achieved only after long and intensive research, must be completed before the function and the quantitative requirements of the factor can be established accurately.
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