Application of multi-task transfer learning: The combination of EA and optimized subband regularized CSP to classification of 8-channel EEG signals with small dataset.

Introduction: The volume conduction effect and high dimensional characteristics triggered by the excessive number of channels of EEG cap-acquired signals in BCI systems can increase the difficulty of classifying EEG signals and the lead time of signal acquisition. We aim to combine transfer learning to decode EEG signals in the few-channel case, improve the classification performance of the motor imagery BCI system across subject cases, reduce the cost of signal acquisition performed by the BCI system, and improve the usefulness of the system.

Methods: Dataset2a from BCI CompetitionIV(2008) was used as Dataset1, and our team's self-collected dataset was used as Dataset2.

Isolation, structural characterization of polysaccharide from Cephalosporium sinensis mycelia and its anti-nephritic effects in adenine-induced CKD rats.

In this study, a new polysaccharide (CSMP, Mw = 16,685 Da) was isolated and purified from Cephalosporium sinensis mycelia. Monosaccharide composition analysis indicated that CSMP consists of mannose, glucose and galactose. A detailed structural analysis revealed that CSMP has a backbone consisting of →2,6)-β-D-Manp-(1→ and →3,6)-β-D-Manp-(1→, as well as two branched chains including of α-D-Manp-(1→6)-α-D-Glcp-(1→ and α-D-Glcp-(1→4)-α-D-Glcp-(1→3)-β-D-Galp-(1→2)-β-D-Manp-(1→ attached to C6 of →2,6)-β-D-Manp-(1→ and →3,6)-β-D-Manp-(1→.

Structural characterization and anti-inflammatory effect in hepatocytes of a galactoglucan from mycelium.

The galactoglucan ACP2 was isolated from cultured mycelium through anion-exchange column chromatography and Sephadex G-100 chromatography and shown to exhibit hepatoprotective function in L02 cells. Based on monosaccharide composition analysis, ACP2 was mainly composed of glucose, galactose, and 6-deoxyglucose in a molar ratio of 5 : 2 : 1. The average molecular weight of ACP2 was 1.