Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding.However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses significant challenges for motor imagery decoding.Sparse regularization is an effective method for addressing this i

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Experience of using dupilumab in the treatment of severe asthma

The article provides data on modern approaches to the treatment of patients with severe uncontrolled bronchial asthma with an emphasis on the use of dupilumab, a human recombinant monoclonal antibody to the alpha subunit of the interleukin (IL)-4 receptor, which inhibits signal transmission from both IL-4 and IL-13.The results of dupilumab pivotal

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