The dominant approaches for named entity recognitionm (NER) mostly adopt complex
recurrent neural networks (RNN), eg, long-short-term-memory (LSTM). However, RNNs are …

Accurate short-term load forecasting (STLF) is an important basis for daily dispatching of the
power grid, but the non-stationary characteristics of the load series add to the challenge of …

Prediction of protein structural class plays an important role in protein structure and function
analysis, drug design and many other biological applications. Prediction of protein structural …

Adenosine deaminases acting on RNA (ADARs) convert adenosines to inosines in double-stranded
RNA (dsRNA) in animals. Despite their importance, ADAR RNA substrates have not …

Abstract Analysis of drug–target interactions (DTIs) is of great importance in developing new
drug candidates for known protein targets or discovering new targets for old drugs. However…

* Background In the search for therapeutic peptides for disease treatments, many efforts have
been made to identify various functional peptides from large numbers of peptide sequence …

Text summarization helps readers capture salient information from documents, news,
interviews, and meetings. However, most state-of-the-art pretrained language models (LM) are …

… of data and writing the manuscript; Yusen Zhang contributed to the development of the …
and writing of microbiome data; Luping Zhang and Xuemin Li contributed to execution and …

m 5 C is one of the longest-known RNA modifications, however, its developmental dynamics,
functions, and evolution in mRNAs remain largely unknown. Here, we generate …

Transformer-based models have achieved state-of-the-art performance on short-input
summarization. However, they still struggle with summarizing longer text. In this paper, we present …