Sentence out of it The term "above premise" is not commonly used in written English.
Depending on context, it could be used to refer to a previously stated conclusion or assumption on which a discussion is based. For example: Having accepted the above premise, we can now turn to the next step in our discussion.
The green ones contain evidence supporting the above premise; the red ones offer arguments against it.
Some research has suggested that the above premise may not necessarily be true.
Based on the above premise, it is worthwhile to consider a conceptual circuit for each of the three phases of auroral substorms; they are shown in Fig. 1 and will be discussed in the following sections.
Based on the above premise, two approaches were considered: 1. Analysis of reservoir quality using core permeability versus porosity cross plots for all genetic units in each of the four distinct environment of deposition to demonstrate the ranges of pseudo-normalized pore throat radius.
In the above Premise, E can be filled in with a particular evil, a set of evils, or it could be used as a name to refer to some kind of organic sum of all evil (if there is such a thing) to make the point that what we can't see a reason for is the general pattern of evil we observe in the world: its magnitude, duration, and distribution.
While the volume of saliva used in this study was large, the results nevertheless provide evidence to support the above premise.
"7c Lessee agrees to smooth off the top of the spoil banks on the above premises.
It stated, in full: "Comp reports that at the t/p/o his car below was taken from the above premises in some unknown manner".
Based on the above premises, the oxidation of the low-index surfaces of transition metals Cu, Co, Ag and V, noble metals Rh, Ru, and Pd and non-metallic diamond has been consistently analyzed.
"7d Lessee agrees to leave the creek crossing the above premises in such a condition that it will not interfere with the crossings to be made in pits as set out in 7b.
On the above premises, this paper proposes a framework that combines a bespoke Mixed Integer Linear Programming (MILP) model for the operation of MGs, and a stochastic approach for simulating nonlinear and dynamic reliability price signals in light of MG reliability contributions assessed through Monte Carlo simulation.
