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Accurate control of the experimental conditions of explosion suppression is challenging, and the use of experimental methods alone for analyzing their interrelation is difficult.
Here, we present a case study in which we use a combination of molecular modeling, solution NMR, and X-ray crystallography to illustrate why it is difficult to use solution methods alone for configuration assignment.
In the post-genomic era, where many new complete genomes are available every year and the number of sequences total in the millions, it is impossible to rely on experimental methods alone for structural characterization.
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For example, the combination of hyperpolarized 13C probes [27] and nuclear probes enabled by PET/MRI should allow us to tackle measurements not possible by either method alone, for example, characterization of tumor energy metabolism and the relative use of metabolic substrates such as glucose, lactate, and glutamine [28].
Although nPCR was reported to be the most sensitive method, PCR-based method alone for viral detection was not sufficient (Pagano et al, 2004).
Recent guidelines suggest that simultaneous culture for O157 STEC and EIA testing for Shiga toxin is more effective at detecting STEC than each method alone for several reasons including bacteria are difficult to detect after 1 week of illness and non O157 STEC may be causing disease [ 5].
Optimally, however, as Hahnemann reported in combining trituration and succussion to prepare homeopathic remedies [ 40], nanotechnologists have also found that combining mechanical wet grinding with sonication (agitation in liquid solvent) is more effective than either method alone for forming, de-aggregating, and dispersing nanomaterials [ 54].
First, the high degree of pseudogenization in rickettsial genomes means that OG prediction programs and related methods alone are insufficient for grouping related genes.
These data suggest that using any of these methods alone is insufficient for correctly inferring the relationships among M. catarrhalis isolates.
These findings provided clear evidence that there are mechanisms other than the presence of mecA gene responsible for beta-lactam resistance of MRSA and that molecular methods alone are not enough for confirmed characterization of MRSA isolates, a point that should be under consideration by regional and reference laboratories.
The proposed two-stage classifier is more accurate than the MFCC-based GMM and HOS methods alone and shows potential for the classification of voices in the clinic.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com