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— that makes the methods of nonfiction consistently yield more truth than those of fiction?
However, the lack of a common task definition, shared data set, and evaluation strategy makes the methods hard to compare, and thus hampers our progress as a community in this area.
The efficiency of the algorithms, which allows the unfolding of a complex diagram of periodic orbits, makes the methods suitable for the study of large nonlinear dissipative partial differential equations.
Their dispatching matrices are chaotically designed by adding some redundant 0/1 s in order to maintain the size as a fixed value, which makes the methods hard to be implemented.
Even when large equipment is not required, there is the need for special chemicals, which makes the methods unsuitable for residential areas.
Geometric conditions are considered with the method of degree reduction for the first time, which makes the methods novel and new.
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This makes the method robust to noise and artifacts.
This makes the method suitable for measurements on large-scalevessels.
This makes the method both accurate and efficient in the context of parallel computing.
This makes the method most suitable for both estimating biophysical parameters and monitoring vegetation phenology.
This makes the method particularly powerful and suitable for application in power systems.
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