Sentence examples for continually may from inspiring English sources

Polarizing electrodes even continually may be unfeasible if a potentiostat is used for other purposes or under logistical constraints like traveling to a field site.

Steadman was careful to tamp down rumors that Chief Justice Roberts, who has expressed concern for the rights of corporations continually, may himself be reaching a turning point where the youngest-appointed Chief Justice in history comes out of the closet himself as a corporation.

Their club may continually struggle but their spirits are not dampened, as Doidge says: "Too many people visit Italy for the sights, the food, the art or whatever.

You may continually be dropped from contention for jobs because of something about you on Internet databases, said Michael Fertik, founder and chief executive of ReputationDefender.

Our perceptions of Juliana's journey through a life upended by trauma may continually shift, but one thing remains fixed: the intense, complicated humanity of Ms. Metcalf's performance.

Geysers may continually coat the surface with fresh frost, he speculated, although how that occurs on such a frigid body is unknown.

While we have taken measures to detect and reduce the risk of fraud, these measures need to be continually improved and may not be effective against new and continually evolving forms of fraud or in connection with new product offerings.

In rivers, turbulence and flow may continually disrupt the visual landscape such that river fish may benefit from learning orientation routes only if learning is constrained so that unreliable visual cues are ignored.

The model assumes that these banks may continually invest funds; the loan portfolio and deposit accounts are positively and strongly correlated; and banks operate in an environment of imperfect information.

However, it cannot be accurately predicted who may continually hold the center position in the network or whether the network externalities will be eventually regarded as a resource or constraints to achieve Pareto Optimality (Kumar and Sastry, 2013) for all participants.

Due to the complexity of the realistic application environments, accurate and robust tracking is not easy because the object appearance may continually change during its moving, especially for the deformable objects, it is difficult for the designed appearance model being adaptive to the heavy shape variations as rotation or distortion.