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Thus sticking with the example just mentioned, we consider a copy of the pure ∧ fragment of ⊢CL, called ⊢∧ earlier in this section, but writing # for ∧ but let us still call this consequence relation ⊢∧ and similarly with the ∨ fragment.
The example just mentioned is only one of many hundreds or thousands, providing at the same time a powerful argument as to why we are discussing this report now.
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In the two examples just mentioned, the financial rationales are murky.
As can be appreciated from the examples just mentioned, in most cases the objectives behind the reforms were to increase the share of the population covered by the system and also to increase the replacement ratio of benefits.
Well, in the two examples just mentioned, the point is not to reach a special target, but instead to compare the "typical" behavior of related systems.
For example, I just mentioned Hugo who is directing Google Brain in Montreal, but also people like Russ Salakhutdinov who is directing AI at Apple.
Continuing with the example we have just mentioned, if the client uses the same e-coin with Vendor Y to make a payment of 0.4 €, he would send to the vendor 0.3 as L i and 0.7 as U i.
With those examples that you just mentioned, are you like, "Fifteen years from now, people are going to love this?" No, no.
The case of understanding, just mentioned, is a good example of this.
The author takes the liberty to include examples of the situations just mentioned from studies in his laboratory in the following discussion.
In sharp contrast to the just mentioned examples (F2C, TE5) our ROF7- and SF9-screens not only confirmed the antibodies' targets but also gave detailed information about their respective epitopes: in each case almost 90% of clones aligned within its target(s) (see Figures 3 and 6).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com