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The proposed fault diagnosis methods can be implemented in two stages.
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A spectral diagnosis method can be adapted to deduce the column densities of the ionic components.
So this fault diagnosis method can be further applied to the actual project, to quickly achieve system fault diagnosis and accurately complete fault identification.
In this way, the robustness of the fault diagnosis method can be significantly improved against noise and variation of working condition.
Diagnosis by traditional methods can be too time-consuming, or require special equipment [1].
If only low amounts of DNA are available (for example, in prenatal diagnosis or tumour analysis), amplification methods can be applied before labelling (Guillaud-Bataille et al., 2004; Le Caignec et al., 2006; Fiegler et al., 2007) although data quality is in general substantially reduced (Talseth-Palmer et al., 2008; Przybytkowski et al., 2011).
Therefore, proposed methods can be utilized for diagnosis of small bowel disease, which will assist radiologist in decision-making.
But by improving diagnosis and surveillance, the targeting of these prevention methods can be improved.
Less invasive or even non-invasive methods can be used for the diagnosis of this condition.
Methods can be copied.
Sometimes even simpler methods can be effective.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com