Sentence examples for large-scale understanding from inspiring English sources

Until now, the required large-scale understanding of forest ecosystems has been based on remote sensing data.

"Because you are doing some larger-scale synthesis to look at the global pattern, and trying to build a global or large-scale understanding of processes.

Since large-scale understanding of transcriptional regulation is still severely limited even in lower organisms, it is of great importance to reveal these regulatory protein-DNA interactions genomewide.

The questions are effective in helping instructors deconstruct their students' understanding to reveal small-scale problems that limit large-scale understanding.

But the potential of grid labeling in practical large-scale SAR image understanding makes it valuable to explore classification methods based on learning from grid labeling.

More importantly, expensive field surveys can be avoided for sample labeling, making our method suitable for practical large-scale SAR image understanding.

This large-scale analysis helps understanding the set of face-sensitive areas in the human brain, and encourages in-depth single participant analyses in which the whole set of areas is considered in each individual brain.

Given the high rates of exploitation experienced by many marine fishes and the challenges of large-scale climatic changes, understanding the extent of diversity contained within a management unit and their influence on population dynamics, connectivity, and resiliency is an essential prerequisite for effective management and conservation [5], [6].

Indeed, transcriptomics and proteomics have been important large-scale tools for understanding the biology of Leishmania and host interaction, favoring the identification of new targets for leishmaniasis treatment [ 67, 68].

Pursuit of a useful understanding of long-term ecosystem responses to large-scale disturbances requires an understanding of short-term mechanistic processes during recovery.

This work indicates the potential of large-scale simulations to further understanding of airway physiological mechanics, which is essential to guide clinical diagnosis; better understanding of the flow also has implications for the design of interventions such as aerosol drug delivery.