Sentence examples for maximum performance from from inspiring English sources

ITV was serious about taking hold of things, squeezing the maximum performance from the channel".

Many mushers will supplement dry food by adding water, meat, fat, vitamins, minerals, and digestive enzymes to obtain maximum performance from their dogs.

To achieve this, maximum performance from the solar cells should be obtained, while minimizing the cost of balance-of-system.

This is an important parameter to be considered to obtain maximum performance from this type of electrode, which is currently under study for application in oxygen sensors and solid oxide fuel cells.

To achieve the maximum performance from a Direct Methanol Fuel Cell (DMFC), one must not only investigate the materials and configuration of the MEA layers, but also consider alternative cell geometries that produce a higher instantaneous power while occupying the same cell volume.

"It was the maximum performance from my players.

The optimization of all design parameters shows that to achieve a maximum performances from the SHP it is essential to use a solar collector with an area equal to 6 m2 area, a collector mass flow rate equal to 100 kg h−1 and a hot water storage tank with a capacity equal to 450 l.

To achieve the maximum performance for the victim user, from here on, we assume a victim user path loss at a distance dnorm = 0.5.

For 500 nm of MAPI with no window layer, the maximum performance expected from the model is Jsc= 21.63mAcm−2.

The optimization equations show that as the intake to reference area ratio decreases, maximum performance shifts from materials having the highest heat of combustion per unit mass to materials that maximize the ratio of heat of combustion to the stoichiometric fuel to air ratio, and to operating air to fuel ratios that approach the upper flammability limits.

In the T&T system, based on the evolutionary algorithm GenD [ 42], the optimization algorithm distributed the original sample into two or more sub-samples with the aim of obtaining the maximum performance possible from an ANN model trained on the first sample and validated on the second.