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15 papers · 1 filter
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Jiawen Qin, Pengfeng Huang, Qingyun Sun +3
Graph is a prevalent data structure employed to represent the relationships between entities, frequently serving as a tool to depict and simulate numerous systems, such as molecule…
Influence of a nontrivial Polyakov loop on the quarkonium states
Wenqiang Liu, Lihua Dong, Yun Guo
Using a hybrid approach based on a phenomenological heavy-quark potential model and the background field effective theory, we assess the influence of a nontrivial Polyakov loop on…
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
Debo Cheng, Ziqi Xu, Jiuyong Li +4
Querying causal effects from time-series data is important across various fields, including healthcare, economics, climate science, and epidemiology. However, this task becomes com…
Impact of nuclear mass models on -process nucleosynthesis and heavy element abundances in -process enhanced metal-poor stars
Meng-Hua Chen, Li-Xin Li, En-Wei Liang +1
Due to the lack of experimental data on extremely neutron-rich nuclei, theoretical values derived from nuclear physics models are essential for the rapid neutron capture process ($…
Potential signature of new magicity from universal aspects of nuclear charge radii
Dan Yang, Yu-Ting Rong, Rong An +1
Shell quenching phenomena in nuclear charge radii are typically observed at the well-established neutron magic numbers. However, the recent discovery of potential new magic numbers…
Tetrahedral shape and Lambda impurity effect in Zr with a multidimensionally constrained relativistic Hartree-Bogoliubov model
Dan Yang, Yu-Ting Rong
This study investigates the tetrahedral structure in Zr and Lambda () impurity effect in Zr using the multidimensionally constrained relativistic Hartree-Bogo…