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High performance heat exchangers are a critical component in many cryogenic systems and the performance of these devices is typically very sensitive to axial conduction, property variations, and parasitic heat losses to the environment.
Furthermore, solutions to ill-posed problems are typically very sensitive to small amounts of noise in the acquired data.
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Reconstruction results of the SIRT and SIRT-FBP method are typically not very sensitive to the specific chosen number of iterations, however, and reasonable choices typically give satisfactory results in practice.
The SRO-based receivers are typically very sensitive, but they consume more power than WURs based on other architectures.
In one hand, compression typically makes the transmission very sensitive to error or packet losses, thus it can decrease the quality of received data by the final users so channel coding is required for error detection and correction [2].
Many of the previous approaches have focused on developing signal processing algorithms to correct for the signal errors and while some good results have been reported, typically the derived displacements are very sensitive to parameters used in the correction algorithm, such as passband filter frequencies.
Typically least square optimization routines are very sensitive to the user defined initial guess.
Typically, the catalatic but not the peroxidatic activity was very sensitive to mutations that disrupted the KatG-typical extensive hydrogen-bonding network.
When the channel characteristic is unknown, the receiver filter is typically matched to the transmission signal pulses; this method leads to the equalizer performance being very sensitive to the choice of the sampling time.
Furthermore, the construction of tolerance intervals is very sensitive to deviations from the assumed distribution especially for high-coverage, high-certainty intervals like those typically constructed [ 37].
"He was very sensitive to criticism".
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