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In this paper new binary organogels based on glutamic acid derivatives and acids with different molecular skeletons were designed and prepared.
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Therefore, thermally-driven fluorescence switches can be achieved with organogels based on 1 and 2.
This regression is a binary classifier based on one or more input variables.
Thus, in the proposed approach, we specially develop a binary classifier based on sparse representation.
Several variables were calculated on the binary images based on two-dimensional analysis.
Responses were collapsed into binary variables, based on strongly agree/agree vs. other responses.
First, we used gender as a binary variable, based on biology (i.e. sex).
Child anaemia status was a binary variable based on the cut off point of 11Hb.
The spatial neighbourhoods defined were binary, fixed and based on distance.
We also design the binary balloon force based on the four-color theorem.
In [34], the author proposes an asymmetric binary fingerprinting code based on Boneh-Shaw codes.
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