Sentence examples for consequently can make from inspiring English sources

Still others complain, as one put it, of being "pigeonholed as a director of sensitive, emotional pictures, which are the ones that are the hardest to get made," and being automatically passed over "when there's a big action-adventure picture," the kind of movie that studios look to for big profits and which, consequently, can make a director's career.

Any streaks, road grime, or smudges on the glass scatter light, reducing contrast of objects on the roadway and consequently can make them appear invisible.

Any streaks, road grime, or smudges on the glass scatter light, reducing contrast of objects on the roadway and consequently can make them appear invisible This includes the car's mirrors.

Accessibility to information in short time intervals and more informational sources about process parameters and failures in equipment enhance the identification of safety risks, consequently, they can make more prices decisions in safety issues.

A beautifully chosen, unexpected adjective can transform a comedy routine into poetry, while the banal repetition of a common place noun can make that word, and consequently all language, suddenly appear ridiculous.

However, an approach that is too minimal can make life hard, so consequently here we explicitly allow both objects and individual concepts which range over objects.

Accessing ANC only after a pregnancy is visible reduces the number of ANC visits a woman can make prior to childbirth, and, consequently jeopardizes her ability to receive all recommended services.

If you're already familiar with using a telescope, you will be aware that its narrower field of vision than binoculars can make the targeting more precise and consequently harder.

These compounds can make chitosan turn insoluble in acid solutions and consequently form closed pore structures [ 51, 52].

Cognitive impairment can make self-report tools for pain assessment invalid and consequently limits their usefulness.

In the case of MAR, we can make assumptions about relations to other variables in our dataset, and consequently be able to predict the missing values.