Sentence examples for what we noted from inspiring English sources

Exact(4)

This is remarkably similar to what we noted in smaller synthetic networks.

Given what we noted above, however, it seems much better to view properties (including relations, and perhaps propositions) as irreducible entities.

Similar to what we noted for SMARCB1, some of the germline mutations identified in Weaver syndrome are the same as the somatic mutations described in tumor cells.

What we noted was that there was no difference in the use of herbs across the income ranges and that in fact, patients earning relatively modest annual incomes between $US12,000 and $US19,999 were most likely to use herbs, although this did not reach statistical significance.

Similar(56)

"What," we note your reply (we have great hearing), "you mean like Lush?" Yes, Black Honey are quite Lush-ish.

It is worth noting that what we have described here as publish-subscribe has a relevant parallel in the area of modern software construction (indeed, that is where we derived the name) [17], [18].

By what we have noted above, (tmapsto X#_{ 1-t t_0 + t t_{ 1-t t_0a constant speed geodesic running from (X#_{t_0}Y) to (X#_{t_1}Y) in unit time, as is (tmapsto (X#_{t_0}Y)#_t (X#_{t_1}Y)).

Together these data support a model where protein components are localized to the nuclear membrane but where we anticipate that they function abnormally similar to what we previously noted with nesprin-1 mutations [30], [31].

Overall, the variance explained in predicting component indices of the WISC-IV was slightly smaller, relative to what we have noted in our work in Bangladesh (where R is generally in the range of 20%-30 20%-30t likely a consequence of the lower and narrow range of exposures examined here.

What we also note here with interest is that some of the sources of inspiration are not very well known at all – one of them is a college student.

Rather, what we are noting is that the marginal utility of each attribute (i.e., the mean parameter estimate of part-worth weight) is well represented by a single mean estimate across all operators.

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