Green Synthesis Strategy of Template-Free S-Doped g-CN with Cystine for Efficient Photocatalytic Degradation of RhB.

Constructing a nanostructure with a high surface area and regulating the band gap by nonmetallic doping are two effective methods for improving the photocatalytic activity of catalysts. A green template-free synthesis strategy of S-doped g-CN nanosheets is proposed via doping cystine as both the structural additive and S source. The features of S-doped samples (GCN-%) were systematically studied, including morphology and textural and photoelectric properties, which demonstrated that the introduction of cystine and simple manipulation of the preparation process could realize self-exfoliation of g-CN into nanosheets.

Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition.

Named entity recognition (NER) is a fundamental task in Chinese natural language processing (NLP) tasks. Recently, Chinese clinical NER has also attracted continuous research attention because it is an essential preparation for clinical data mining. The prevailing deep learning method for Chinese clinical NER is based on long short-term memory (LSTM) network.