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Motivated by the observation, in this paper we investigate the scalable sensor selection problem for early detection of dynamic harmful cascades in networks.
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They cite in particular the benefit of monetary stability and the fact that the euro zone has been saved from the harmful dynamic of competitive devaluations and capital controls that has flared up in emerging market economies.
Culture is fluid and dynamic and its harmful elements can also change with education, enlightenment, and the rule of law.
Enzymes are dynamic molecules and many harmful chemical reactions have been replaced by eco-friendly biological processes due to these biocatalysts.
The fault detection central challenge is determining the difference between normal and potential harmful activities at dynamic systems.
The bulk of data so far, therefore, leads to the common belief that dynamic strain (tidal volume) is harmful while static strain (PEEP) is "protective".
The shielding of waves is an appropriate method to protect human beings, livestock, as well as structures and commercial goods from the harmful effects of dynamic loads.
In an animal model, Protti et al. [33] showed that for the same global strain, a large static strain is less harmful than a large dynamic strain.
Specifically, we first put forward a dynamic susceptible-infected model to describe harmful cascades, and formally define a detection time minimization (DTM) problem which focuses on effective sensors placement for early detection of dynamic cascades.
However, the harmful cascades are usually dynamic (e.g., the cascade initiators and diffusion trajectories can change over the time), which can severely destroy the robustness of selected sensors.
Results show that the bistable suspension can eliminate the harmful resonance via a dynamic stabilization phenomenon, and simultaneously retains the favorable isolation performance in the roll-off bandwidth as compared to the linear suspension.
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