Sentence examples for complexities in understanding how from inspiring English sources

This work reveals the complexities in understanding how productivity can be measured and analyzed in an advanced economy such as the U.S. Nevertheless, many parts of the world still suffer food shortages.

This suggests complexity in understanding how to detect and identify whether a patient has taken a molecule of one class or another, impacting clinical care.

This suggests complexity in understanding how to detect and correctly identify whether a patient has taken a molecule of one class or another, and this ultimately impacts clinical care.

Due to this complexity, most of Südhof's stepwise progress in understanding how synapses work, lauded in the scientific world, went mostly unnoticed in the popular press (as did those of fellow 2013 Nobel laureate and Stanford structural biologist Mike Levitt, PhD).

The complexity of networks poses an important challenge in understanding how outcomes vary with network structure.

Despite much progress in understanding how different attentional states change the way information is processed, this progress has also highlighted new complexities and interactions between attentional operations and the resulting perceptions.

Notwithstanding the complexity of understanding how social significance comes to be associated with certain linguistic features, it remains unclear what mechanism leads to the initial adjustments in the first place.

The nucleotide distribution in the sequences of organisms of different complexity is important for understanding how the different layers of regulation are recruited.

Ingenious Genes solves the problems in the path of understanding how, in Roger Sansom's words, 'novelty that adds complexity has a chance to be adaptive.' It's a signal combination of philosophy of science, theoretical biology, and interdisciplinary integration.

Understanding this complexity will be essential in selecting therapeutic end points and to understanding how best to reach them.

Cohn writes on his blog, "this finding has very interesting consequences for understanding how brains process varying degrees of complexity in images.