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We show experiments where a fused temperature forecast outperforms individual temperature forecasts from several providers.
Theoretical results are confirmed by numerical experiments where a discrete directional wavelet transform is introduced.
The prediction was tested by triplicate experiments, where a removal efficiency of 100% was achieved under the chosen optimal conditions.
These findings are further explored by femto-to nanosecond time-resolved emission experiments, where a multi-exponential behaviour is observed for the excited samples.
Factor screening is an important first step in many industrial experiments where a large number of factors potentially influence a response.
The prediction was tested by triplicate experiments, where a ΔMLSS yield of 233 mg/L was achieved under the chosen optimal conditions.
As a result, in experiments where a significant proportion of the surfactant adsorbed, significant shifts in the aqueous phase compositions occurred to mixtures with lower mean EO numbers.
We validate the methods using a series of experiments where a human demonstrator uses kinesthetics in order to teach a robot how to manipulate simple objects.
Analogous experiments, where a sample containing anti α-bisdiketone heptacene precursors 1 is exposed to light with an identical wavelength as in case of 2 were realized, leading to the formation of heptacene (see Supplementary Fig. 11).
In this paper we introduce a binary search algorithm that efficiently finds initial maximum likelihood estimates for sequential experiments where a binary response is modeled by a continuous factor.
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The predictions can then be compared with smFRET experiments, where A-site and P-site tRNAs are fluorescently labeled [ 111].
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