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The integration of the bottom-up and top-down approaches has large potential for providing high accurate rainfall estimates exploiting their different and complementary nature.
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Effective parametric approaches have large design space with a few variables.
We show here that the micro-concentrator approach has large benefits in terms of the heat dissipation and that heat management on the micro-scale allows the use of concentration factors as high as 1000× without any special cooling efforts.
The other two approaches have larger errors.
Redox-triggered metal ion approaches have great potential for creating large differences in magnetic properties that lead to changes in contrast.
This approach can have large probabilities of the value optimized in unfavorable scenarios.
However, SINS is known for its cumulative errors over long time, while WSN approach can have large positioning errors in certain areas.
High-throughput experimental approaches have accumulated large amount of information on protein-protein interactions in human and other model organisms.
These approaches benefit from having large numbers of ascospores pooled by mating type without contamination by vegetative cells.
The cost-effectiveness of a dysferlin gene mutation screening using DHPLC approaches has been reported in large groups of patients with the identification of many mutations, therefore validating the efficacy of genomic mutational screening for routine diagnosis.
However, none of these approaches has been used for large-scale sub-classification of all known protein domain superfamilies.
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