Sentence examples for thereby optimizing from inspiring English sources

Exact(60)

In [7, 8], similar optimization is considered with equal powered pilot symbols assumed to be optimal, thereby optimizing only the indices of the pilot symbols.

In addition, the proposed model is a useful tool for achieving end-to-end optimization, as it helps to find an appropriate configuration for each layer, thereby optimizing the end-to-end performance.

Additional studies may determine whether these markers could be used to screen cell populations before their implantation, thereby optimizing the experimental procedure and facilitating clinical transition.

These findings can collectively enhance both the siting and design of PBSP, thereby optimizing investments in sustainable mobility.

On the other hand, light provides a time cue for entrainment of the circadian rhythm to the 24-h cycle, thereby optimizing the adjustment of growth and metabolism to the seasonal variation of the photoperiod10.

The collecting electrodes are routed out of the chamber through the flat end-cap, thereby optimizing the mechanical strength of the chamber.

Furthermore practical applications require materials with high tap density in order to maximize the loading of the electrodes, thereby optimizing the energy density on cell level.

The proposed approach will be useful for simulating musculoskeletal loading in the hand for occupational activities, thereby optimizing tool-handle design.

It is likely that this sensing and virulence upregulation response of EPEC allows it to determine the virulence status of V. cholerae and hence to upregulate its virulence when V. cholerae virulence is downregulated, thereby optimizing the timing for successful colonization of the small intestine.

These results show the potential of depth cameras to be used as a precise tool in estimating the degree of ripeness during the harvesting of cauliflower and thereby optimizing the crop profitability.

We propose an experimental design and graphical analysis that allow for assessing time-to-mutation and dose response concordance, thereby optimizing the potential for in vivo mutation data to inform the choice of the quantitative model used in cancer risk assessment.

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