Sentence examples for tackling the complexities of from inspiring English sources

Whether she's tackling the complexities of science or style, the medical philanthropist, fashion icon and social mover Deeda Blair approaches all facets of life with quiet but unwavering discipline.

After a lawmaking season that left them bruised by political scandal but salved by California's revitalized economy, state lawmakers were attempting to wrap up their work late Friday by tackling the complexities of water policy, everyday matters such as grocery bags and dozens of other issues.

Furthermore, targeting individual elements of pathogenic pathways is not always a successful approach for tackling the complexities of the disease state; even when a target pathway is identified, a suitable drug might not be found.

With the emergence of the omics approach in the biomaterials field, referred to as materiomics, high-throughput approaches hold the promise of tackling the complexity of materials and understanding correlations between material properties and their effects on complex biological systems.

A full-blown UBI is also aimed at tackling the complexity of the current welfare system by replacing a range of different means-tested benefits with a simpler, universal payment for every adult.

The findings of this study can facilitate tackling the complexity of DFU problem and looking for constructive mitigation measures.

Results suggested also for further analysis, models tackling the complexity of the genetic architecture of these correlated disease resistance traits including potential epistatic effects.

With the availability of genome sequences of related species and the tools to investigate genome changes, tackling the complexity of the evolutionary history of the immune systems has become possible.

Conceptualizing and addressing the role of structural drivers of diet-related health outcomes, including trade and investment policy, is an important development in tackling the complexity of the problem.

The study of EBV intersects many disciplines including cell biology, immunology, molecular biology and pathology and this provides an important advantage in tackling the complexity of the tumorigenic process.

Large-scale statistical systems modelling building on complex data sets generated by high content and high-throughput experimental approaches rather than detailed kinetic pathway models therefore currently seem to be superior in describing and tackling the complexity of these pathway crosstalks.