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For low frequency disturbances, active control methodologies have proven to be highly effective when coupled with harmonic algorithms that target specific problematic frequencies.
Both of these methodologies have proven widely successful in metabolic engineering, with combinations of them resulting in synergistic enhancements to pathway optimization.
These methodologies have proven effective in decreasing feelings of anxiety and hopelessness [ 22].
Qualitative rapid assessment methodologies have proven useful to inform public health interventions involving sexually transmitted infection [ 11- 14].
Several data-mining techniques and statistical methodologies have proven to be useful to search temporal gene expression patterns in microarrays [ 3, 8– 34].
While these methodologies have proven sufficient in a variety of settings, e.g., the preparation of the antibody drug conjugate herceptin-emtansine, they nonetheless suffer from various shortcomings such as heterogeneities with respect to the number and location of antibody modifications.
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However, the prediction of antibody target sites in proteins using computational methodologies has proven to be a highly challenging task, which is likely due to the somewhat elusive nature of B-cell epitopes.
These electrodes and the used methodology have proved adequate to perform voltammetric measurements and kinetic studies without the need of complementary sophisticated instrumentation.
The methodology has proven a significant new step in characterising and understanding infant head injury mechanics.
This methodology has proven to be efficient in various studies presented in the literature.
The Immersion and Invariance methodology has proven to be a very effective theoretical tool for the stabilization of nonlinear systems.
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