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In the proposed model, permutation entropy (PE) of the vibration signal is calculated to detect the malfunctions of the bearing.
This work demonstrates the first kinetic-model-based approach to detect the malfunctioning reactions/preexisting molecules in a biological network from the artificial clinical data.
Table 10 shows an example of investigating the ability of our approach to detect the malfunctioning molecule by downregulating molecules by a factor of 0.01.
The simulation results showed that the developed approach was able to successfully detect the malfunctioning reactions/preexisting molecules from the clinical data with a high level of noise.
Since Rxn10 is ranked as the Number 1 malfunctioning reaction in Table 1, it is clear that the developed approach is able to correctly detect the malfunctioning reaction from the data.
The developed approach described in Section 2.3 was applied to the clinical data shown in Figure 6 (i.e., the blue curves) to detect the malfunctioning reactions/preexisting molecules that lead to the abnormal nuclear STAT3 dimer and SOCS3 profiles.
The paper describes the results of the GM Powertrain study of the Exhaust System Performance Diagnostic (ESPD) that detects the malfunctions of primary and secondary oxygen sensors and catalytic converter.
IEA has been applied to detect the biological malfunction of complex diseases (e.g., Type II Diabetes) on the pathway level rather than gene level.
The clinical data for downregulating single reactions) was used to detect the corresponding malfunctioning reaction.
The artificial clinical data shown in Figure 6(c) was used to detect the corresponding malfunctioning preexisting molecule.
In the unlikely event that tin whiskers cause a short-circuit in the pedal position sensor, our systems detect the fault, illuminate the malfunction indicator light and put the vehicle into "limp home" mode.
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