Sentence examples for explore and evolve from inspiring English sources

Exact(2)

We want to explore and evolve in healthy ways.

Because heme proteins do not encounter nitrene precursors in their natural environments, they never had the chance to explore and evolve this capability.

Similar(58)

Among these, the design of control systems capable of automating a wide range of UAV activities is one of the most actively explored and evolving.

Art writer and editor David Velasco, essayist and woke woman Charlotte Shane, and poet and social worker Jasmine Gibson are exploring and evolving in their open or monogamous relationships.

Efforts to optimize cellobiose fermentation in engineered S. cerevisiae through combinatorial transcriptional engineering [ 11], experimental evolution [ 29], or by exploring and evolving new cellodextrin transporters [ 12, 14, 30, 31] or an alternative cellobiose phosphorylase pathway [ 29, 32, 33] have resulted in only limited improvements in cellobiose metabolism.

The Finance Innovation Lab is an open environment in which people can come together to explore, innovate and evolve the financial system, so that it sustains people and the planet.

They are concerned that a race careering along at this pace does not give candidates time to listen and learn from voters, explore new issues and evolve.

Ethnography provided the framework to explore and document the evolving perspectives and actions of clinic staff, and the tools to make explicit the tangible and intangible details and relationships that influence intervention uptake.

We are not afraid to send our children to classrooms in which students of Ethiopian decent and native Israelis, or Sephardic and Ashkenazi girls, or Arabs and Jews, are given equal educational opportunities; are respected as human beings; and are provided with the skills to explore, evolve and make the most of their potential.

A graphical tool known as Network Allocation Diagram (NAD) is introduced to assist designers to graphically visualize, explore, evolve, and systematically select networks that yield either the minimum gas targets or the minimum number of streams.

In this paper, we present a new visual approach to identify variability zones in software designs and explore how they evolve over time.

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