Sentence examples for powerful constraint from inspiring English sources

Instead, the most powerful constraint on my friends' loyalty was the data they had contributed to Facebook over the years.

Electricity shortages have become a binding and powerful constraint on the continent׳s sustainable development.

Because diffusion becomes less efficient as the tubes get longer, the atmospheric concentration of oxygen is a powerful constraint on body size, especially for active insects that fly.

The body in action is a powerful constraint on how organisms conceive their niche, as this constraint allows certain interactions and experiences to have an effect on concept formation and understanding of linguistic meaning.

Identifying the characteristic exponential and that it is typical of 'emergent' subglacial bedforms is a new and potentially powerful constraint on their genesis, perhaps indicating that ice sediment interaction is fundamentally stochastic in nature.

Monotheism is therefore not only a powerful constraint on the models we build, it is also a first step toward opening the quest for truth to outsiders and amateurs, who may see things differently than the establishment.

And the public funds have an odd habit of flowing towards politically connected projects.Fortunately, there are now some powerful constraints on governments' ability to meddle.

"Mandatory disclosure of information about future risks, community engagement and policy stability are critical to support retreat, but existing-use rights, liability concerns, special interests, community resources, place attachment and divergent priorities at different levels of government present powerful constraints".

Because a given image can have many possible interpretations, constraints are needed to eliminate ambiguity, and the most powerful constraints are domain specific.

These 1D marginal distributions provide powerful constraints when 2D spectra are reconstructed, and their estimation requires an order of magnitude less data than a conventional 2D approach.

MADCO uses the 1D marginal distributions as a priori information, which provide powerful constraints when 2D spectra are reconstructed, while their estimation requires an order of magnitude less data than conventional 2D approaches.