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After aggregating the trips by basin and filtering by distance, we obtain the Flickr flow matrices denoted as (mathbf{F}_{{r}} = ( f_{ij}^{r})) for the air travel network, and (mathbf{F}_{{c}} = ( f_{ij}^{c})) for the commuting network.
We also show a JNCC, where all submatrices H u r, H u s u r, ∀u r,u s are replaced by identity matrices, denoted as the I-JNCC.
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In the Qmax and Dmax measures, first, a cumulative matrix (denoted as o and (hat {mathbf {o}}), respectively) is generated based on c with Eqs.
After t steps, the overall status matrix, denoted as P, is obtained with Eq. (11).
The term-document matrix, denoted as A, plays a central role in our analysis (see Manning et al. 2008).
The column of the matrix, denoted as for simplicity, contains the preestimated decision variables for the candidate symbol allocation with.
Herein, we have prepared a SnO2/C composite of ultrasmall SnO2 nanoparticles (∼6 nm and ∼59.4% by weight) embedded in carbon matrix (denoted as SnO2/C-59) by a facile hydrothermal and subsequent carbonization approach.
The sparse representation coefficients from four views denoted as x j j = 1 4 and the JSR coefficients matrix denoted as X ^ i i = 1 3 with different K.
Every BS is assumed to have the same feedback matrix, denoted as B, which will be determined at the central processing unit based on the global CSI.
By a pyrolysis process, the hybrid precursor is transformed into compact Fe2O3 nanotubes engulfed within the Co3O4 host matrix (denoted as the Fe2O3 nanotubescompositesosites) (Fig. 1).
This work reports a facile metal-organic-framework based approach to synthesize Sn/C composite, in which ultrasmall Sn nanodots with typical size of 2 3 nm are uniformly embedded in the nitrogen-doped porous carbon matrix (denoted as Sn@NPC).
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