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Within the overall sample, the average QL scores over six cycles were predicted by initial prognostic factors.
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Wear life of several million sliding cycles is predicted.
A multi-harmonic analysis is performed and amplitudes of limit cycles are predicted.
In particular, cycles are predicted when the increased mortality rate due to infection (virulence, α) is high.
The residual life after two hundred thousand cycles is predicted for all variations.
R245fa was used as the working fluid, and the thermodynamic properties of the working fluid in the cycle were predicted on the basis of the designed turbine blade and nozzle shape even though the mass flowrates were varied.
The unwanted redistribution of Zn per cycle is predicted to decrease with increasing cycle number.
It is also observed that a non-linear limit cycle is predicted by the proposed model.
The incylinder maximum pressure of the next cycle was predicted with this model.
The slowing of the cell cycle was predicted by downregulation of key cell cycle and RNA processing genes as neural differentiation starts in the CNT.
Furthermore, we predicted a substantial increase in metabolic activity of the pentose phosphate pathway as a means to enhance viral biosynthesis, while a break down in the citric acid cycle was predicted.
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