Text document clustering plays an important role in providing better document retrieval,
document browsing, and text mining. Traditionally, clustering techniques do not consider the …

There is a growing interest into how we represent and share tagging data in collaborative
tagging systems. Conventional tags, meaning freely created tags that are not associated with a …

Objectives Heart failure (HF) is a progressive syndrome that marks the end-stage of heart
diseases, and it has a high mortality rate and significant cost burden. In particular, non-…

Gastroenteropancreatic (GEP) neuroendocrine neoplasm (NEN) that consists of neuroendocrine
tumor and neuroendocrine carcinoma (NEC) is a lethal but under-investigated disease …

As an effective approach to adapting pre-trained language models (PLMs) for specific tasks,
prompt-learning has recently attracted much attention from researchers. By using cloze-style …

Background The Encyclopedia of DNA Elements (ENCODE) project has advanced our
knowledge of the functional elements in the genome and epigenome. The aim of this article was …

Background and objective Large language models (LLMs) hold transformative potential for
clinical decision-making in the rapidly advancing field of AI in medicine. This study evaluates …

Cellular senescence is closely related to tissue aging including bone. Bone homeostasis is
maintained by the tight balance between bone-forming osteoblasts and bone-resorbing …

Large Language Models (LLMs) have achieved remarkable performance across a wide
range of Natural Language Processing (NLP) tasks. However, in long-context scenarios, they …

Background Metabolic pathway prediction is one possible approach to address the problem
in system biology of reconstructing an organism’s metabolic network from its genome …