In multi-tenant datacenters, jobs of different tenants compete for the shared datacenter
network and can suffer poor performance and high cost from varying, unpredictable network …

Sliding ferroelectricity is a recently observed polarity existing in two-dimensional materials.
However, due to the weak polarization and poor electrical insulation in these materials, …

This paper explores whether natural resource abundance leads to slower growth rates. We
distinguish between natural resource dependence (RD) and natural resource endowment (…

Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved
great success and become a milestone in the field of artificial intelligence (AI). Owing to …

The poor clinical outcome in pancreatic ductal adenocarcinoma (PDA) is attributed to
intrinsic chemoresistance and a growth-permissive tumor microenvironment. Conversion of …

Recently, prompt tuning has been widely applied to stimulate the rich knowledge in pre-trained
language models (PLMs) to serve NLP tasks. Although prompt tuning has achieved …

With the prevalence of pre-trained language models (PLMs) and the pre-training–fine-tuning
paradigm, it has been continuously shown that larger models tend to yield better …

Liver fibrosis is a reversible wound-healing response involving TGFβ1/SMAD activation of
hepatic stellate cells (HSCs). It results from excessive deposition of extracellular matrix …

… Ning Ding and Shengding Hu wrote the abstract, introduction (Section 1) and method (Section
3) part of the paper. Shengding Hu finished the other parts. Ning Ding, Huadong Wang …

Supervised learning algorithms have shown limited use in the field of anomaly detection
due to the unpredictability and difficulty in acquiring abnormal samples. In recent years, …