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The system failure event is defined as a logical function of multiple component events representing failure modes, locations or time points.
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Integration of multiple components to facilitate these photoelectrochemical events is necessary to achieve highly efficient solar-to-fuel conversion.
This involves a complex series of phosphorylation events by multiple components.
Signaling through the B cell antigen receptor (BCR) is required for the generation of a functional mature B cell repertoire (3, 5), and multiple components of the BCR signalosome regulate biochemical events after BCR engagement.
These types of failures can be described as events that lead to simultaneous failure of multiple components due to a common cause.
Our research reveals how oxidant exposure and signaling events control classical nuclear import and target multiple components of the nuclear transport apparatus.
Altogether these events highlight the therapeutic advantage that targeting multiple components of the EGFR/Src/cortactin axis could represent.
In this paper we have concentrated on a specific association structure linking the 2 component submodels; however, it may be of interest to investigate linking multiple components of a biomarkers trajectory to the time to an event of interest.
A typical event extraction system will need to have multiple components: NER modules, parsing (to detect sentence grammatical structure and dependencies, in preparation for the relation detection), and relation extraction (determine the event type, participants of the event, etc).. Example event extraction systems include EventMine [ 27] and TEES [ 18, 28].
In this setting, multiple components in a system each observe a subset of some global event trace.
Right now, desserts with multiple components are the standard.
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