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In general, the behavior of these parameters can be likened to changes in potency and/or efficacy of drugs.
The behavior of these parameters, as a function of spacecraft position and attitude, is compared with a model, which describes ENA generation by charge exchange between shocked solar wind protons and extended Martian exosphere.
From the values of the peaks and valleys, as a function of the load and fatigue cycles, it was possible to determine the relationship between the evolution behavior of these parameters.
The behavior of these parameters are different from that of the parameters obtained by DC method.
For this experiment, the evolution of α opt(n) and δ opt(n) is depicted in Fig. 4, also supporting the expected behavior of these parameters.
The analysis of the behavior of these parameters allows us to make a suggestion that they are not completely independent and that α decreases approximately exponentially with β.
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In the following sections, the characteristic and behaviors of these parameters are synthetically examined.
Learned behaviors of these parameters allow the system to create some profiles that are then compared with periodically acquired measures.
During the magnetic superstorm that occurred in October 2003, the behavior of these frequency parameters was altered in an attention-grabbing way.
Creation of the Gibbs sample requires several key assumptions about the behavior of these unknown parameters.
This result reinforces the assumption of a similar behavior of these two parameters, both associated with proliferation.
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performance of these parameters
behavior of these coefficients
behavior of these metrics
role of these parameters
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violations of these parameters
behavior of these animals
behavior of these interfaces
behavior of these lesions
behavior of these systems
behavior of these copolymers
behavior of these mixtures
behavior of these mutants
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behavior of these proteins
behavior of these materials
behavior of these nanocomposites
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