The local mass distributions is an ordinary feature in cosmology and in describing the large scale characteristics of the universe.
Moreover, in this research, we mainly use rank-1 decomposition, i.e., the best rank-1 approximation, to analyze large-scale characteristics in the ionosphere.
Based on the results of tensor rank-1 decomposition, we analyze these three vectors, (U^{(1)}), (U^{(2)}) and (U^{(3)}) to obtain the large-scale characteristics in the ionosphere with regard to time, longitude, and latitude.
The shell lacks the epidermal scutes (large scales) characteristic of most turtles, as in the leatherback sea turtle (Dermochelys coriacea), and the bony architecture of the shell is reduced.
Because we mainly focus on the large-scale characteristics of the ionosphere, the details in the results are not necessarily expected to show close correspondence with the original data.
Notably, rank-1 decompositions can extract large-scale characteristics of time, longitude, and latitude simultaneously.
Our results support the hypothesis that large scale environmental characteristics affect parasitoid ASRs in addition to intrinsic and local characteristics.
In addition to those mentioned above, some researchers have conducted simulation tests of gas adsorption and desorption characteristics of coal in large scale and obtained gas desorption characteristics in both natural and mining-induced conditions.
Think on a large scale in broad terms.
This research concludes that the revisit to polymer tribology at high load condition has indicated the difference in wear mechanism and the corresponding tribological characteristics in large scale testing.
Furthermore, the large scale development of electric vehicle (EV) will also have a significant impact on power grid in general and load characteristics in particular.
