The phrase "a relatively small tree" is correct and usable in written English.
It can be used when describing the size of a tree in comparison to others, indicating that it is smaller than average or smaller than expected.
Example: "In the forest, we came across a relatively small tree that stood out among the towering giants."
Alternatives: "a somewhat small tree" or "a comparatively small tree".
The asymptotic behavior of our model at long tree sizes recovers the logarithmic behavior of the ERM scaling, so that, as in the models by [ 36], the non-ERM behavior occurs as a transient for the relatively small tree sizes present in the databases.
As maintained by Crook and Ennos [55] only relatively small tree species can rely solely on the taproot for anchorage and that this is the reason that most large trees develop thick lateral roots.
As maintained by Crook and Ennos [ 55] only relatively small tree species can rely solely on the taproot for anchorage and that this is the reason that most large trees develop thick lateral roots.
This indicates that, using the BLAST based method to select control sequences from a massive sequence database, relatively small trees are sufficient to identify the phylogenetic footprint of superinfection reliably.
Finally, Lucifer yellow-injected neurons with Pattern IIb (with well-developed neurofibrillary tangles) had a relatively small dendritic tree, with thin dendrites and very few or no spines, which may simply be due to a more advanced stage of atrophy.
Certainly, neurons with well-developed neurofibrillary tangles (Pattern IIb) had a relatively small dendritic tree, with thin dendrites and very few or no spines, regardless of whether they were PHF-tauAT8-ir or PHF-tauPHF-1-ir.
Relatively small trees that respond favourably to severe annual pruning (e.g., the peach and Kadota fig) are usually trained to create an open-centred tree with a scaffold of four or five main branches that originate on a short trunk and branch a number of times to provide fruiting wood.
We show that although the number of classes of solutions may be considerably smaller than the total number of optimal reconciliations, it nevertheless may remain very high even for relatively small trees.
Therefore, TreeMap is very useful for relatively small trees but it cannot be used for larger trees (e.g. pairs of trees with 25 tips each run for over two days on a commodity personal computer and eventually exceed available memory).
