IEEE Trans Neural Netw Learn Syst
May 2024
Real-world data usually present long-tailed distributions. Training on imbalanced data tends to render neural networks perform well on head classes while much worse on tail classes. The severe sparseness of training instances for the tail classes is the main challenge, which results in biased distribution estimation during training.
View Article and Find Full Text PDFA new highly specific high-performance liquid chromatography with tandem mass spectrometry (LC-MS/MS) method coupled to microdialysis sampling was developed and validated for simultaneous determination of L-ephedrine, D-pseudoephedrine, L-methyl-ephedrine, cinnamic acid, liquiritin, amygdalin, and glycyrrhizic acid both in rat blood and brain after oral administration of Mahuang decoction in this paper. An Agilent Zorbax SB-C using the 0.1% formic acid water solution and acetonitrile as mobile phase with a gradient elution was applied to the chromatographic separation.
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