Sentence examples for distinguishable set from inspiring English sources

Exact(1)

It is only relevant that it provides a distinguishable set that is part of the population studied.

Similar(59)

The theory of distribution involves three distinguishable sets of questions.

But although the IMF's experts offer guidance about how to start up a currency board, economists have little experience of how to wind one down.There are two easily distinguishable sets of reasons why countries may wish to abandon their currency boards good ones, and bad ones.

The conduct of clinical research often involves two distinguishable sets of relationships: the researcher-subject relationship, and the clinician-patient relationship.

The finding using RNAi that a reduction in the levels of another MIND subunit Mis12 causes frequent bi-orientation during meiosis I in maize suggests that it might be, as is the observation that Mis12 forms a continuous plate on top of a pair of distinguishable sets of inner kinetochore proteins [ 54].

Actually, they are distinguishable by any input sequence (a, i) with any value of i. Definition 6: Two sets of configurations C of the EFSM M and C′ of EFSM N are distinguishable if there exists an input sequence α that distinguishes each pair (c, c′), c ∈ C and c′ ∈ C′; in this case, we say that the sequence α distinguishes sets C and C′.

There exist {u,w}⊆V(G)∖(X 1∪X 2) and {v}⊆X 1△X 2 (Fig. 1 a, b ), Fig. 1 Topological conditions for characterizing a pair X 1,X 2 of two distinguishable fault sets: a & b The first condition of Lemma 1; c & d the second condition of Lemma 1; e the third condition of Lemma 1; f the fourth condition of Lemma 1   2.

Their results indicated that it contained three distinguishable chromosome sets designated J, J S and S, with 17-21, 6-11 and 13-14 chrespectivelyespectively.

So far we have shown that different categories of enzymes and metabolic pathways possess well-distinguishable probe-set frequency patterns.

The number of distinguishable paths is set to be 1, i.e., flat fading.

The distribution of regulatory event frequency in all data sets is clearly distinguishable from null data sets and the gradual increasing of tail distributions correlates with their transcriptomic change levels.

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