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The idea is to induce simultaneous random mutations in all of the genes in a particular cellular pathway by introducing pieces of DNA which match parts of those genes, but which are attached to short sequences that do not.
An algorithm to approximate the solution to an equation for simultaneous random scission and crosslinkingl is presented.
The current time transients for monolayer formation by simultaneous random adsorption as well as nucleation growth collision processes are discussed.
This solution is compared to the classical two-step solutions of Saito2 5, Flory6 and Charlesby-Pinner7, showing significant deviations for the simultaneous random scission and crosslinking case.
It is also important to emphasize that in [17, 18], we proposed a general co-segmentation framework based on simultaneous random walk on a space formed by fusing complementary information from PET and CT/MRI images.
Furthermore if the generation of the sinograms for a typical dataset (usually in the order of 2000) is completely parallelized, this step would result in 1500 × 2000 simultaneous random accesses to the shared file system where the angular projections are stored, definitely a non-optimized procedure quickly resulting in a bottleneck, in particular for the high data rates of cutting-edge detectors.
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These simulation parameters above were adopted for both simultaneous and random message-passing schedulers.
Table 3 Percent gain in sum rate for the TAS problem in a seven-node network % Gain in sum rate over greedy Message-passing scheduling Simultaneous 90% Random 60% Random 30% Random 50th CDF percentile 2.465 2.465 2.465 2.465.
Table 5 Percent gain in sum rate for the TAS problem in a 61-node network % Gain in sum rate over greedy Message-passing scheduling Simultaneous 90% Random 60% Random 30% Random 50th CDF percentile 1.459 1.459 1.459 1.459.
Table 10 Convergence rate for the beam selection problem in a 61-node network Technique Message-passing scheduling Simultaneous 90% Random 60% Random 30% Random Graph-based 0.164 0.223 0.223 0.364 Greedy 1 1 1 1.
Table 7 Percent gain in sum rate for the beam selection problem in a seven-node network % Gain in sum rate over greedy Message-passing scheduling Simultaneous 90% Random 60% Random 30% Random 50th CDF percentile 24.683 24.683 24.683 24.683.
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