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To this end, compressed sensing (CS) approaches can offer a viable solution.
In this context, trait-based approaches can offer a means to generalize responses to environmental change across multiple species.
Random library approaches can offer a solution to this problem and involve construction of large libraries of construct variants that are analysed via screens or selections for the desired phenotype.
While other array reconfiguration approaches can offer comparable improvements in efficiency, the reduced complexity of the TDAR approach makes it the only scalable approach that can be practically applied to array reconfiguration in portable systems.
We argue that whilst risk-based approaches can offer important benefits, they face a range of epistemic, institutional and normative challenges that can play an important role in shaping the way that organisations manage both risks to society and their own institutional risks.
The identification of structure and functional properties of the molecular data in a specific process allows the in-depth understanding of systems organization and behavior, supporting the design of reliable and representative models and paving the way to the comprehension of emergent properties that only holistic approaches can offer.
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Our approach can offer some advantages in practicality.
Especially, this approach can offer excellent electrochemical properties combined with CMOS compatibility, which is crucial for further device development.
This indicates that the Fourier series approach can offer a better compromise between systematic and random errors.
Using the equivalent irregular wave approach can offer the effective and practical base for the ship structural analysis.
This powerful approach can offer load information at high speed once the relationship between the loading and response of the component has been established through training the ANN.
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