A diagonal masking self-attention-based multi-scale network for motor imagery classification.

Objective. Electroencephalography (EEG)-based motor imagery (MI) is a promising paradigm for brain-computer interface (BCI), but the non-stationarity and low signal-to-noise ratio of EEG signals make it a challenging task.Approach. To achieve high-precision MI classification, we propose a Diagonal Masking Self-Attention-based Multi-Scale Network (DMSA-MSNet) to fully develop, extract, and emphasize features from different scales. First, for local features, a multi-scale temporal-spatial block is proposed to extract features from different receptive fields. Second, an adaptive branch fusion block is specifically designed to bridge the semantic gap between these coded features from different scales. Finally, in order to analyze global information over long ranges, a diagonal masking self-attention block is introduced, which highlights the most valuable features in the data.Main results. The proposed DMSA-MSNet outperforms state-of-the-art models on the BCI Competition IV 2a and the BCI Competition IV 2b datasets.Significance. Our study achieves rich information extraction from EEG signals and provides an effective solution for MI classification.

First report of haemosporidia and associated risk factors in red junglefowl (Gallus gallus) in China.

BACKGROUND: Avian haemosporidia infect both domestic and wild birds, causing anemia, acute tissue degeneration, and depopulation in wild birds. Poultry and wild birds have been reported as common reservoirs of haemosporidia, but limited information is available for red junglefowl (Gallus gallus) in China. The present study investigated the prevalence and molecular characterization of haemosporidia in red junglefowl. METHODS: Blood samples were collected from 234 red junglefowl from Jinghong City of Yunnan Province, and genomic DNA was extracted from these samples. The prevalence of haemosporidia was determined by nested PCR targeting the mitochondrial cytochrome b (cytb) gene. Molecular characterization was investigated based on phylogenetic analysis of cytb sequences, and associated risk factors were analyzed using the Chi-square (χ2) test. RESULTS: The overall prevalence of haemosporidia was 74.8% (175/234), and three species were identified, namely Haemoproteus enucleator, Leucocytozoon californicus, and Plasmodium juxtanucleare. The prevalence of haemosporidia in adult fowl (81.1%, 107/132) was significantly higher (χ2 = 6.32, df = 1, P = 0.012) than that in juveniles (66.7%, 68/102). Three novel haemosporidian lineages were revealed. CONCLUSIONS: This study examined the prevalence and identified species of avian haemosporidians in red junglefowl, providing new information on the molecular epidemiology and geographical distribution of haemosporidian parasites. Our results indicated high prevalence and diverse species distribution of these haemosporidians in red junglefowl. To the best of our knowledge, this is the first record of haemosporidian infection in red junglefowl in China.