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The reason for the improvement is discussed in detail.
This has been successfully applied to a real heating system with 1.8 MW thermal power and the improvement is discussed.
Thermal stability of these nanocomposites was studied by TG DTG analyses; the mechanism of thermal stability improvement is discussed based on experimental results.
In addition, the potential of the dynamic modeling method in performance evaluation for possible product designs and control implementation for system cycling performance improvement is discussed in this paper.
Each improvement is discussed separately, and the complete algorithm is described at the end.
An approach for jatropha improvement is discussed using pleiotropic QTLs, which will be likely to lead to initiation of molecular breeding in jatropha by integrating more markers in the QTL regions.
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The implications for improved understanding of peach genomics and genetic improvement are discussed.
The mechanism of the improvement was discussed.
Some recommendations for future improvement are discussed.
Possible causes for this improvement are discussed.
Several paths of improvement are discussed in conclusion.
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