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After constructing the change matrices, the next step was to select appropriate theoretical methods for behaviour change and to translate these into practical strategies.
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Having generated a physiologically plausible mixing matrix, the next step was to generate a set of four sources.
E10 cells were seeded on top of the matrix the next day.
After recalling some preliminary facts on matrices in the next section, we state our main results on the asymptotic constancy of the solutions of (1.13), and derive a generalization of the limit formula (1.12) to the time-dependent case (Section 3).
The important question here is how to measure the dissimilarity between two region covariance matrices and how to update the regions covariance matrix in the next time slot.
couch angle gantry angle number of beamlets number of non-zeros in the dose-influence matrix (see the next section; this value is helpful for pre-allocating memory to store these matrices) A vector of the x position of each of the beamlets (using the gantry head coordinate system, see Figure 2).
The file contains the following information: couch angle gantry angle number of beamlets number of non-zeros in the dose-influence matrix (see the next section; this value is helpful for pre-allocating memory to store these matrices) A vector of the x position of each of the beamlets (using the gantry head coordinate system, see Figure 2 ).
The best matrix M, which gives the highest q value, is selected as the seed matrix for the next optimization step.
We combine the properties of the Weyl matrix in the next theorem.
We consider Chase-type ARQ: When the decoding outcome is erroneous at ARQ round k, the receiver feeds back a negative acknowledgment (NACK) message, then the transmitter completely retransmits chip-matrix X' in the next round.
The number of disjoint parameters, P d, is equal to 3. As the interaction b a n k∖c a r d is already contemplated in matrix M, the next parameter interaction providing the largest number of non-addressed t-tuples is f u n c t i o n∖c a r d.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com