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Compared to existing analytical diagnostic procedures for phytoplasmas, a rapid, highly specific and highly sensitive diagnostic method becomes now available.
The proposed approach is considerably simpler compared to existing flow based MCS detection procedures and has better scalability compared to enumeration- and envelope-based ones, while still providing good quality Critical Sets.
Compared to existing constant-power optimization algorithms, the Lagrangian procedure can provide significant improvements in achievable utility when energy is at a premium.
Second, we wanted to show that our forwarder selection procedure (TOAR) results in overall improvement as compared to existing OR protocol like ExOR.
To assess non-inferiority between two procedures using clustered matched-pair binary data, two new statistical tests are systematically compared to existing tests.
The proposed methodology could be used to enhance the established procedure to extract more information about the dynamic characteristics of structures (only once effectively calibrated), compared to existing image-sensing techniques and contact measurement sensors.
Both methods are compared to existing approaches.
The models efficiency was compared to existing correlations.
The new schemes are analysed and compared to existing schemes.
And the results indicate higher efficiency compared to existing method.
Compared to existing solutions, anyone can create test fits.
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