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The algorithm is developed in the context of the perturbed two body problem, with the secular J4 effect as the only source of perturbation.
Another important result is that the major source of perturbation upon RT communication is caused by the increase of external network load and not by the error-prone characteristics of the wireless medium.
Such empty fears and desires, based on what Epicurus calls kenodoxia or empty belief, are themselves the main source of perturbation and pain in civilized life, where more elementary dangers have been brought under control, since they are the reason why people are driven to strive for limitless wealth and power, subjecting themselves to the very dangers they imagine they are avoiding.
This fear is one source of perturbation (tarakhê), and is a worse curse than physical pain itself; the absence of such fear is ataraxy, lack of perturbation, and ataraxy, together with freedom from physical pain, is one way of specifying the goal of life, for Epicurus.
Monitoring of relevant marker genes will also give an indication as to the source of perturbation.
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Our analyses demonstrate that radiative signatures are a powerful tool to differentiate the source of perturbations in the surface energy balance at monthly to seasonal time scales.
Today's integrated circuits are liable to operate under transient faults created either by radiation or malicious sources of perturbation.
From Figure 3 we can also infer that one of the major sources of perturbation upon the RT communication is the increase of the external network load and not only the error-prone characteristics of the wireless medium.
The propagation of a RZ pulse under the action of fiber dispersion, nonlinearity, and various sources of perturbation is represented in terms of a simple set of evolution equations for its parameters.
For example, systematic sources of perturbation such as naturally occurring genetic variation in a population or specific drug perturbations in which response is observed over time can lead to reliable causal inference [ 1, 2, 18, 19].
Random Forests uses a random subset of features selected at each tree node, thus introducing additional sources of perturbation into the data compared to other re-sampling techniques such as bagging [ 18].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com