Sentence examples for evolution ease from inspiring English sources

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We argue that beyond evolutionary conservation of binding sites, plausible patterns of common gain and loss of TFBSs in evolution ease this separation.

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The topic remained disreputable for more than a century, but in the last decade or so, language evolution has eased toward the front burner, attracting the attention of linguists, neuroscientists, psychologists and geneticists.

As a result he was known as the "Sunday gentleman" because he ventured out into polite society only on the Sabbath, when custom forbade the arrest of debtors.The author also played a role in the evolution of "quantitative easing" (QE), or using newly created money to buy debt.

The architectural style of independent components has attracted increasing interest recently for its strong support to software reuse and evolution due to its ease of integration of components into a system.

While guerrilla marketing, speedy tactics, and ease of evolution is certainly our competitive advantage, there is no replacement for having sufficient capital to break the bell curve.

The evolution of technology, and ease of communication through the Internet and World Wide Web (WWW) has dramatically altered the landscape of teaching and learning in higher education (Kop, 2011).

From a developer's perspective, widely scoped pointcuts may ease the evolution of programs without causing pointcuts to break (this problem was observed in a previous study of fault-proneness of AO evolving AO programs [34]).

From the perspective of evolutionary biology, fWHR by itself is probably of minor significance; however, it is a useful trait to advance the study of human evolution because of its ease of measurement and its role as an indicator of other behavioural and morphological traits of evolutionary significance.

According to authors' experience and understanding, this eases the evolution of designs towards their future versions.

It eases the evolution of legacy static systems into self-adaptable ones and allows for more comprehensive and robust decisions, by enabling the combination of several strategies.

This methodology aims to ease the software evolution through a standardized knowledge representation, a multidimensional organization, and an appropriate advanced separation of concerns.

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