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It has been shown that sensitivity of the sensor decreases with an increase of angle.
It has been shown that sensitivity functions represent criteria relations that define the optimality and similarity range for space nuclear power plants (SNPP) of different types.
For instance it has been shown that sensitivity for algorithm- based diagnosis by health workers was more in high-prevalent settings, even for diseases like tuberculosis [ 16].
It has also been shown that sensitivity to nucleoside analogues could be restored by transfection of a wild type dCK cDNA [ 42- 44].
In patients with depression it has been shown that sensitivity of the 5-HT2A receptor is increased and expression of the serotonin transporter decreased [ 4].
Notably, it has been shown that sensitivity of various measures, such as the total length of the tandem repeat, the percentage matches between adjacent copies of the repeat unit, and the GC content of a tandem repeat, while significant predictors of polymorphism, can vary in their predictive power between different species [ 1, 10].
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It is shown that sensitivity of changing biomolecules strength is more in gate capacitance than the drain current.
It is shown that sensitivity analysis with boundary integral scheme is independent of the mathematical expressions of the LSF.
In terms of convergence, it was shown that sensitivity indices related to factors of the quantity model achieve convergence faster.
It is shown that sensitivity of this sensor can be further improved through introduction of the dopant or defect in graphene[10 13].
Recently, it has been shown that the sensitivity and dynamic range of neural assemblies are optimal at a critical coupling among its elements.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com