Graph convolutional network-based methods have become mainstream for cross-language entity alignment. The graph network has multi-order characteristics that not only process data more conveniently but also reduce the interference of noise effectively. Although existing achieved good results task alignment, they often overlooked same names in real corpus, resulting an entity-matching result was ...

Nucleosynthesis in evolved (RGB and AGB) low-mass stars is reviewed under the light of the reaction rates recommended in the NACRE compilation (Angulo et al. 1999). We use a parametric model of stellar nucleosynthesis to investigate the uncertainties that still exist nowadays on the nuclear data and to give a critical point of view on the resulting evolution of the chemical abundances. We discu...

Recent developments in the study of element abundances and their impact on our understanding of the evolution of stars and the chemical evolution of the Galaxy are described. In particular, problems that may beneet, or beneet from, work on binary stellar populations are highlighted. These include: diierent mixing processes in globular cluster and eld stars, evidenced by Li and nuclei in the NeN...

We study the effect of uncertainties in the proton-capture reaction rates of the NeNa and MgAl chains on nucleosynthesis due to the operation of hot bottom burning (HBB) in intermediate-mass asymptotic giant branch (AGB) stars. HBB nucleosynthesis is associated with the production of sodium, radioactive 26Al and the heavy magnesium isotopes, and it is possibly responsible for the O, Na, Mg and ...