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Numerous challenging transformations were successfully achieved such as ECA of vinylic, alkynyl, silicon, and phosphorus nucleophiles, the formation of quaternary stereogenic centers or the addition to polyenic Michael acceptors.
1q These advances encouraged us to test the photoactivated 3 in other very challenging transformations, that is, the reductive cleavage of 1) difficult arenesulfonamides like 10, 2 and 2) N-benzyl groups, 3 and we report herein our results.
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Although metabolic technologies have been applied to find biomarkers for a few cancerous and virally transformed cell types [9], [12], [13], [14], [15], these techniques need to be expanded for challenging viral transformations, such as human immunodeficiency virus (HIV) and HTLV1.
We believe that the present system should contribute to the realization of challenging molecular transformations by making use of the high reactivity of NHC-based FLPs.
And instead of challenging this transformation, as they are supposed to – certainly at the more thoughtful edges of the art – novelists are buying into it wholesale.
Currently, the implications of technological and environmental transformations are challenging designers to focus on complex socio-technical systems.
On the other hand, α-oxo metal carbene/carbenoids are highly versatile intermediates in organic synthesis and can undergo various synthetically challenging yet highly valuable transformations such as C H insertion, ylide formation, and cyclopropanation reactions.
On the contrary, the shallower layers tend to be more sensitive to small transformations, which is challenging for unpredictable and changeful cloud.
However, from a computational point of view this is highly challenging since the set of transformations by which the random walks are generated (for details see Materials and Methods) have to guarantee that mother and daughter strands stay connected at the replication fork by preserving the self-avoidance of the chain.
If ours was an ideologically uniform species, this transformation would be challenging.
The approach is based on a statistical model of discrete cosine transformation (DCT) coefficients challenging the usual assumption that among a subband all the coefficients are independent and identically distributed (i. i. d).
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