Sentence examples for systems after which from inspiring English sources

The thermal imager is also found to be useful for preliminary examinations of certain systems, after which other more economical devices are suitable substitutes for further examinations.

Exposures of S. aureus to H2O2 during the inoculation process resulted in extended lag phases lasting well after the peroxide had been neutralised by the bacterium's antioxidant systems, after which the bacteria eventually resumed growth at equivalent rates to the controls.

Indeed, the concept of a 'disaster cycle' has been heavily criticised by social scientists for representing disasters as temporary interruptions of a linear development process and governance systems, after which society returns to normal (Christoplos et al. 2001; Hewitt 1983; Twigg 2004).

In 1834 it was used for experiments with new drive systems, after which it was put in storage.

Two Dirichlet problems must be solved to form the approximate system, after which it can be evolved without solving Dirichlet problems.

The musicians feed their material into the space, enough to be picked up by their feedback system, after which they ride their own sounds, penetrating inside the noise to throw its shapes.

Opposition members said that if they won the presidency, they intended to work to transform the government into a true parliamentary system, after which, they said, the current powerful presidency would be abolished.

Results from the zero-dose control studies (Fig. 1, top left) confirmed that the aerosol irradiation chamber efficiently transmitted the aerosolized viruses through the system, after which the live virus efficiently infected the test mammalian epithelial cells.

The drugs were administered in the same order and were followed by the same reactions — vomiting, loss of appetite, collapse of the immune system — after which intravenous T.P.N. (total parenteral nutrition, which is given to patients who are unable to eat), anti-nausea drugs, antifungal drugs, and antibiotics were administered at regular intervals.

A neural state space model of the system is first trained based on in- and output training samples from the system, after which linearized state space models are extracted from the neural network in a number of operating points according to a simple and computationally cheap scheme.

By adding known masses to the structure and measuring its new modes of vibration, we can utilize this additional information to correct the mass matrix of the system, after which the stiffness matrix can be updated by requiring it to satisfy the generalized eigenvalue problem associated with the structure.