We found this problem to be almost universal in the present analysis.
We found this problem in UNPHASED could be avoided by use of the slower (Nelder-Mead) maximization option, however, this option was not feasible on a genome-wide scale; we estimated that the analysis would have taken several months to run on our system, even when divided into 22 (or more) parallel jobs.
"I think the industry has taken notice, but occasionally we find this type of problem". Cal/OSHA also fined Clothes Connection for two other serious violations: allegedly failing to guard openings in electrical boxes properly and for not providing wash facilities for flushing eyes and body.
As Stanton writes: "We find this faster reading vs. naming problem astonishing because when we were children, it was the other way around".
In this case, we try to transform indoor localization problem into an optimization problem, and then, we find that this problem can be optimized by particle swarm optimization (PSO) algorithm.
We found that this problem is solved efficiently, and introducing a full-cycle formulation has the potential to improve the performance of SMB, as shown through single and multi-objective optimization studies.
We found that this problem is solvable in polynomial time under some special sensor configurations.
However, we found that this problem can be solved without introducing hidden elements if each element in the first layer can be selectively desensitized to take a neutral value (0).
Later, we found that this problem could be mitigated by addition of 17 20 mM each of dATP, dCTP, dGTP, and dTTP ("dNTPs") to the DNA/MgCl2 injection mixture, which increased group II intron-integration frequencies in suboptimal oocytes to >3% (not shown).
In addition, we found that this problem could be overcome when we used correlation ranks instead of correlation values.
