Sentence examples for high performance class from inspiring English sources

Printers available today include the Dell 5130cdn, the world's fastest single function letter (LTR) size color laser printer, the Dell 7130cdn, Dell's first LED color printer with tabloid size printing capability; and the Dell 3330dn, a single function monochrome laser printer for high performance class black and white printing.

Polyimide is a high performance specialty class of polymers of aromatic nature with chemical structure –R CO N–, which comes under the family of ladder polymers, due to their flexibility, high strength, superior thermal stability and dielectric properties.

Law school thrusts hundreds of type-A individuals accustomed to high performance into classes that are graded on make-or-break-you curves.

To achieve flexible energy storage devices with high performance, a new class of flexible electrodes with exquisite architectures that provide well-defined pathways for efficient ionic and electronic transport is highly needed.

Therefore, although our approach achieves high performance for all disease classes, building disease-specific models and introducing prior knowledge of disease phenotypes may further improve the accuracy of disease gene predictions.

Advances in technology and the underlying demand for achieving high performance has resulted in a class of light-weight high-speed mechanical systems.

Here, we report that the phase engineered two dimensional transition metal dichalcogenides represent a new class of high performance thermoelectric materials.

The water permeability of a unique class of high performance fiber reinforced cementitious composites (HPFRCC) called engineered cementitious composites (ECC) is investigated.

In 1997, the Japanese government announced plans to build the world's most powerful supercomputer -- the 'Earth Simulator.' In 1999, IBM announced plans to build a new class of high performance computing system that would be even more powerful.

The CL-Class are high performance vehicles.

Therefore, multiple features from each of the four feature classes achieved high performance for predicting protein stability changes upon amino acid substitutions.