Sentence examples for order of descent from inspiring English sources

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My notebook contains words scribbled on dusty, crumpled pages that include, in order of descent, "glorious Alpine scenery", "rooty, pine-scented woodland trails", "sunny forest glades", "wild-flower meadows and tumbling streams".

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Furthermore, the phylogenetic reconstruction of EIT of Firmicutes agrees with the expected order of organismal descent for this group (Fig. S6, Additional file 2).

The topology of the tree of EIT sequences of VPES as an ingroup was compatible with the order of organismal descent inferred from the 16S rRNA (p = 0.437 in the Shimodaira-Hasegawa test; Fig. S5C, Additional file 2).

While the topology of the tree retained a comb-like appearance, all nodes were resolved with high bootstrap support in accordance with the temporal order of their descent from the progenitor.

Since the observed topology of the ptsI tree is congruent with the expected order of organismal descent (Fig. S6, Additional file 2) and both genes are present in most actinobacterial species included in this study, it is likely that both genes were present in the last common ancestor of Actinomycetales and at least ptsI was inherited vertically.

Reasons for this proposal will be discussed in the section dedicated to group T. The phylogenetic relationships inferred from the sequences of FPr proteins are in agreement with the most accepted order of organismal descent represented by the 16S rRNA phylogeny (Fig. S6, Additional file 2).

Due to the absence of recombination during meiosis for this Y chromosomal portion, it is possible to define the hierarchic descent order of all human NRY variants and to infer the order and time of their descent in the phylogenetic tree, as the coalescence theory describes [ 1].

However, if a connection is found a genealogical research outside of the College's archives would then be undertaken in order to provide definitive evidence of descent from an armigerous individual.

It is demonstrated that the predictive ability of each training algorithm is in the order of LM > gradient descent > Bayesian regularization.

However, our algorithm has a descent order of growth, i.e., O |V|2)+O |E|+|V|)≈O |V|2), which is smaller than many clustering algorithms such as the Kernighan-Lin algorithm that have an order of growth of O |V|3).

The maximum relevance criterion selects the top m features in the descent order of I(f i, c), i.e., the best m individual features correlated to the class labels: underset{S}{ max}frac{1}{left|Sright|}{displaystyle sum_{f_iin S}Ileft({f}_i cright)} (15).

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