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We assessed whether any of the simpler methods can in practice give adequately accurate and reliable results.
These methods can in principle be applied to any DIGE dataset by using the online tool DIGE analyzer.
The observed differences in the evolutionary relationships among methanogens based upon phylogenomics analyses versus those by traditional phylogenetic methods can in principle be accounted for by three explanations.
Most profoundly is the higher performance of certain biclustering methods, such as ISA (Iterative Signature Algorithm), QUBIC (Qualitative Biclustering), and FABIA, and direct NI methods, primarily GENIE3, on human and/or synthetic data, where these methods can in some cases compete with clustering and decomposition methods.
The results show that the proposed methods can, in general, precisely make 1- to 4-hour-ahead forecasts and the lag time between predicted and observed flood peaks could be mitigated.
While developed here for dilute gas-particle flows, quadrature-based moment methods can, in principle, be applied to any application that can be modeled by a kinetic equation (e.g., thermal and non-isothermal flows currently treated using lattice Boltzmann methods), and examples are given from the literature.
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Thus, this method can in principle be applied to any known and yet-to-be-developed sensor modalities.
The NEB method can in principle be used for any kind of process however, including chemical reactions.
The method can in principle be extended to any other protein that migrates, alone or in complex with a particular partner, into native gels.
Additionally, this method can in principle, by working in the GHz regime, generate coherent phonon fields at sub-optical wavelengths.
The parameterization method can in this way be tested and pre-selected based on previously existing geometries.
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