The research on intelligent fault diagnosis has yielded remarkable achievements based on
artificial intelligence-related technologies. In engineering scenarios, machines usually work …

Recent discoveries suggest that N6-methyladenosine (m6A) modification, a prevalent
internal modification in eukaryotic RNA, is an essential RNA regulatory mechanism. This …

Background and Aims Artificial intelligence (AI)–assisted colonoscopy improves polyp
detection and characterization in colonoscopy. However, data from large-scale multicenter …

The current understanding of texture evolution during deformation by rolling in aluminum
alloys was summarized. This included understanding the evolution mechanisms and several …

Dynamic micro/nanopatterns provide an effective approach for on-demand tuning of surface
properties to realize a smart surface. We report a simple yet versatile strategy for the …

Intelligent fault diagnosis of machines has long been a research hotspot and has achieved
fruitful results. However, intelligent fault diagnosis is a difficult issue in the case of a small …

Germline pathogenic variants in two genes encoding the lysine-specific histone methyltransferase
genes SETD1A and SETD2 are associated with neurodevelopmental disorders (NDDs…

In the process of planting crops, the detection of diseases in the leaf parts is one of the key
links to the prevention and control of crop diseases. This paper takes tomato leaves as …

The recent success of RFdiffusion, a method for protein structure design with a denoising
diffusion probabilistic model, has relied on fine-tuning the RoseTTAFold structure prediction …

Predictive maintenance, such as remaining useful life (RUL) prognostics, requires precise
long time-series forecasting, which demands a higher predictive capability of data-driven …