Sentence examples for above developed from inspiring English sources

The phrase "above developed" is not correct in standard written English.
It may be intended to refer to something that has been discussed or elaborated on earlier in the text, but it is not a commonly used expression.
Example: "The concepts above developed provide a solid foundation for understanding the topic."
Alternatives: "previously discussed" or "earlier elaborated".

Exact(15)

The speculation traced above developed during the first six centuries of the Common Era, both in Palestine and in Babylonia.

Specimens impacted at velocities of 60 m/s and above developed nearly planar shocks that propagated at well-defined velocities crushing the specimen.

A second generation of the Memory Test Computer (above), developed by DEC founder and MIT alumnus Kenneth Olsen, was one of the most significant artifacts obtained from the Digital Historical Computer Collection donated by Compaq to the MIT Museum.

SmarTots' current bestseller is an app called ILuv Drawing (images seen above), developed by MyVijan, which allows kids to trace, color or draw on iPad.

Packaging (shown above) developed for the U.S. tests and different than that used in Canada will be used for the national rollout.

An original IMAX movie called RISE ABOVE, developed and filmed specifically for the Red Tail Squadron and the unique movie screen, is shown.

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Similar(45)

These free-living adults undergo sexual reproduction, the female lays eggs that then (as for direct development, above) develop into iL3s [ 3].

The latest vision from Mark Zuckerberg apparently calls for high-altitude, solar-powered drones to circle 65,000 feet above developing nations in order to create always-on Internet connections.

Since the layers communicate using application program interfaces (APIs) provided by vendors operating in the layer below, those vendors that dominate one layer can use their power to control how the layer above develops.

Since scanning large objects at high resolution will always yield datasets with the artifacts enumerated above, developing principled methods for overcoming them seems like worthwhile research, and good solutions would undoubtedly be publishable.

The recommendation systems market predominantly operates on a proprietary basis, with companies such as those listed above developing their own models built around one of three designs, or system "types" (highlighted below).

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