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The new user interfaces that were developed on the basis of the method are expected to enhance task efficiency and safety by reducing human errors.
The proposed provision mode BOOC and valuation method are expected to show a new perspective for accelerating the sustainable development of PRH.
The parameters that can be determined by application of this characterization method are expected to be useful to study and optimize growth conditions for carbon nanofibers grown by chemical vapor deposition.
If more diverse training data types are provided, the classification results of the proposed method are expected to be better.
The proposed model and analysis method are expected to be applied to the design and analysis of various WSNs, taking the times spent in active and sleep modes into consideration.
Most genes whose transcription is induced with the method are expected to display a peak expression in the first time point (i.e., the SW/G1 cell stage) with a lower expression profile in subsequent time point samples.
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The method is expected to produce precise three-dimensional maps of Earth's peaks and valleys.
However this method is expected to become progressively more applicable as salinity sampling increases.
This method is expected to be useful for the DEMO design.
This method is expected to guide surface roughness design and manufacturing in the future.
This method is expected to support policy-making in environmental management and urban planning.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com