The emotion prediction of college students with attention LSTM during the COVID19 epidemic.

During the COVID19 pandemic, there is a pronounced collective mental health issue among college students. Forecasting the trend of emotional changes in on-campus students is crucial to effectively address this issue. This study proposes an Attention-LSTM neural network model that performs deep learning on key input sequence information, so as to predict the distribution of emotional states in college students.

Draft Genome Sequence of sp. Strain xch1, Isolated from the Tibetan Plateau.

In this study, we report the draft genome sequence of sp. strain xch1, which was isolated from a high-altitude thermal spring on the Tibetan Plateau. The enzymes and metabolic pathways of the strain may have further applications in biomass technology.