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PDAs outperform paper-based methods in terms of both efficiency and data integrity.
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The creation of hybrid human machine systems is a highly promising direction as it allows leveraging both the scalability of machines over large amounts of data as well as keeping the quality of human intelligence in the loop to finally obtain both efficiency and effectiveness in data processing applications.
The cooperative system significantly outperforms the non-cooperative system, as both the EH efficiency and data transmission robustness can be greatly improved with the assistance from the relay.
One way of addressing both the issues of computational efficiency and data analysis is to construct simplified models that capture the essential features of protein motions at long timescales.
This example confirms again the importance of reading a range of publications in a particular area rather than isolated papers to ensure both efficiency and critical analysis of the data.
OFDM achieves better bandwidth efficiency and data rate.
In RNA library preparation, even small amounts of residual rRNA can dramatically reduce sequencing efficiency and data quality.
Data aggregation[33] concerns how and when to aggregate and fuse data across nodes to improve efficiency and data richness.
Benchmark studies have shown that the Chemical Component Annotation Tool provides significant improvements in processing efficiency and data quality.
It was about efficiencies and data driving larger inventories, cheaper prices and reliable, low-cost delivery.
The assistance from the relay can help improve both the EH efficiency and the data transmission robustness.
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