Why did this happen? Please make sure your browser supports JavaScript and cookies and that you are not blocking them from loading. For more information you can review our Terms of Service and Cookie Policy. E-GMP will be highly effective in expanding the Groups EV leadership position as it will enable the company to enlarge its EV line-up over a relatively short period through modularisation and standardisation, it said in a statement. E-GMP will be highly effective in expanding the Groups EV leadership position as it will enable the company to enlarge its EV line-up over a relatively short period through modularisation and standardisation, it said in a statement.
The 60 percent cut in the PHIA and of the use of the DC alienation method for an expected increase in computing factors - effectively zero.
( z0 cut :ARG1 ( z1 and :op ( z2 thing :name ( z3 name :op "National" :op "Health" :op "Allowance" ) ) :op ( z4 use :ARG1 ( z5 method :name ( z6 name :op "DC" ) :mod ( z7 alienate ) ) :ARG2 ( z8 increase :ARG1 ( z9 compute :ARG1 ( z10 factor ) ) :ARG1-of ( z11 expect ) ) ) ) :ARG1-of ( z12 mean :ARG2 ( z13 zero :ARG1-of ( z14 effective ) ) ) :ARG2 ( z15 percentage-entity :value 60 ) )
(z0 / cut-02
    :ARG1 (z1 / and
              :op1 (z2 / thing
                       :name (z3 / name
                                 :op1 "National"
                                 :op2 "Health"
                                 :op3 "Allowance"))
              :op2 (z4 / use-01
                       :ARG1 (z5 / method
                                 :name (z6 / name
                                           :op1 "DC")
                                 :mod (z7 / alienate-01))
                       :ARG2 (z8 / increase-01
                                 :ARG1 (z9 / compute-01
                                           :ARG1 (z10 / factor))
                                 :ARG1-of (z11 / expect-01))))
    :ARG1-of (z12 / mean-01
                  :ARG2 (z13 / zero
                             :ARG1-of (z14 / effective-04)))
    :ARG2 (z15 / percentage-entity
               :value 60))
The 60 percent cut in the PHIA and of the use of the DC alienation method for an expected increase in computing factors - effectively zero .
z15 :value 0
z0 :ARG2 z15
z2 :name z3
z3 :op1 4
z3 :op2 3
z3 :op3 1
z1 :op1 z2
z0 :ARG1 z1
z1 :op2 z4
z6 :op1 2
z5 :mod z7
z5 :name z6
z4 :ARG1 z5
z8 :ARG1-of z11
z4 :ARG2 z8
z8 :ARG1 z9
z9 :ARG1 z10
z0 :ARG1-of z12
z13 :ARG1-of z14
z12 :ARG2 z13