Sentence examples for green projection from inspiring English sources

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Open image in new window Fig. 5 Average assessment values and variance regions for controls and for patients before (Pre) and after treatment start (Post), and as result of Hard (yellow) and Soft (green) projection: the projected patient assessments are closer to the controls.

The contrast also increases as the size of the ultraviolet projection increases, but reaches a maximum as the size of the green projection increases, eventually declining due to increased background (Supplementary Fig. 16c,d).

Just as a green projection of Princess Leia appealed to Obi-Wan Kenobi in the opening scenes of Star Wars, so a green Mr Yang would appear before the people of Iowa or Ohio, asking for their help in the presidential primaries.

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3D animations were constructed with a high refresh rate when projecting a dynamic green light projection onto a static ultraviolet photoactivated pattern.

Temporal tracking is marked in yellow, stereo matching is marked in green, and projection consistency is highlighted by dots.

Panel (a) shows (S^{a}_{varepsilon }) (red) and (S^{s}_{varepsilon }) (green) in projection onto ((n,h,v -space.

Fig. 17 Selected canard orbits (thick curves) plotted together with (S^{a}_{varepsilon }) (red) and (S^{s}_{varepsilon }) (green), in projection onto the ((v,h,n -space,h,n -spacegkin–Huxley mofel (32) withe(varepsilon =0.0083) and (I=9.74).

DNA (blue), H2B-GFP (marker, yellow), Oct4 (red), Cdx2 (green), 3D projections (max. proj). of merged images are shown in the right panels.

The curve (widehat{S}^{s}_{varepsilon,z} = widehat{S}^{s}_{varepsilon,w}) (green) is the projection of (widehat{S}^{s}_{varepsilon }), which is identical in both projections because it lies on (widetilde{varSigma }_{1}) so that (z=w).

For if all emeralds are green, the natural projection rule asserts this fact from the beginning.

Open image in new window Fig. 6 Controls clustered with the patients before treatment (Pre: red), after treatment start (Post: yellow), with the Hard projection (green) and the Soft one (blue dashed): entropy drops as the number of clusters increases, but has higher (better) values for the projected instantiations, indicating that these are closer to the controls.

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