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Analogously, for the network RTK, the distance of reference stations is advised to be roughly doubled with hexagon type of reference deployment.
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We demonstrate that certain inverse bifurcation problems of biological interest may be cast as optimization problems involving minimal distances of reference parameter sets to bifurcation manifolds.
The performance of our method, if compared to the recent AFTOL study [ 10], was assessed by comparing CCC values between the protein distance matrix of reference KOG2671 and that based on the combined data set of six AFTOL genes.
Final mapping (Fig. 2) shows in green that most of stickleback chromosomes are covered by D. labrax BACs with consistent orientation and distance (87% of reference genome), while red regions have a weak mapping, where no or only one BAC-end sequence could be matched.
Figure 7 Detection probability over distance of the reference object.
This approach has an obvious limitation: the presence of misclassified sequences at short distance of a reference sequence might distort its purity curve and alter its AUC.
These markers resulted in good coverage of both genomes: 78% of the total distance of the reference maps of both Prunus [ 14] and strawberry [ 18].
To assess the number of detected genes at various evolutionary distances, we obtained the mRNA sequence of all olive baboon (Papio anubis) RefSeq genes from the UCSC genome browser, and determined the human ortholog and evolutionary distance of each reference baboon gene.
Again, noise reduction procedures have no or little influence on the biological signal because the distance of the reference set to the subjects head is relatively large (mean = 25.8 cm, std = 6.00 cm, min = 15.5 cm, max = 36.5 cm) compared to the distance between sensors and head, which is usually much smaller.
For reference sequence, (4) d Ref HD = 2 ⋅ r R ⋅ t HD, (5) d Ref HR = 2 ⋅ r R ⋅ t HR, (6) d Ref MR = 2 ⋅ r R ⋅ t MR, where dRefHD, dRefHR, and dRefMR are the genetic distance of the reference exon sequences between human and dog, human and rat, mouse and rat.
It is based on the theory that the NLOS error increases the standard deviation of the estimated distances of each reference node.
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