Sentence examples for difficult evolution from inspiring English sources

Exact(4)

But it has been a difficult evolution, for a number of reasons.

The station, which is now partially assembled and circling overhead with three astronauts aboard, has had a difficult evolution since President Ronald Reagan first ordered it built in 1984.

The slogan will have to be matched with some substance on policy if Labour is to succeed in the difficult evolution from effective opposition to credible government-in-waiting.

In a broad sense, the worst immigrant rioting ever seen in Italy — shocking here not only because of the anger of migrants, some of whom clashed with local residents, but also for the attacks on them by townspeople — cuts to the heart of the nation's difficult evolution from a place of emigrants to one of immigrants.

Similar(55)

These developments have offered a clearer understanding of the one idea that was always most difficult: the evolution of the human.

Given this, one might think that it would prove difficult for evolution to settle upon an optimal signalling system.

Whilst innovation by mutation and by conventional evolutionary algorithms becomes increasingly more difficult as evolution continues in this landscape, innovation by composition is not impeded as it discovers and assembles component entities through successive hierarchical levels.

This is a real problem to consider because without a comprehension of reproductive isolation, it is difficult to understand evolution.

Nevertheless, the Muslim perspective makes learning about the biological basis of evolution difficult because of the harmony that exists between religion and science.

Evolution is a foundational organizing principle of the life sciences, and yet people still argue that it should be taught only in college, urging that it's not necessary, too controversial, or too difficult to teach evolution in high school.

Automated program transformation holds promise for a variety of software life cycle endeavors, particularly where the size of legacy systems makes manual code analysis, re-engineering, and evolution difficult and expensive.

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