Abstract: The present disclosure relates to a system and method for vulnerability localization based on deep learning, which comprises, at a minimum, a processor configured to: analyze a code file under detection to obtain a first abstract syntax tree devoid of semantic information; build upon the first abstract syntax tree by incorporating data-flow edges and/or control-flow edges, thereby forming a second abstract syntax tree with semantic-flow enhancement; split the second abstract syntax tree to obtain a plurality of second abstract syntax sub-trees; and input these second abstract syntax sub-trees into a pre-established vulnerability detection and localization model.

Abstract: The present application provides a lithium-ion battery and an apparatus, the lithium-ion battery includes an electrode assembly and an electrolyte. The electrode assembly includes a positive electrode sheet, a negative electrode sheet and a separation film. The positive active material in the positive electrode sheet includes Lix1Coy1M1-y1O2-z1Qz1, 0.5?x1?1.2, 0.8?y1<1.0, 0?z1?0.1, and M is selected from one of Al, Ti, Zr, Y, and Mg, and Q is selected from one or more of F, Cl, and S. The electrolyte contains an additive A and an additive B, the additive A is a polynitrile six-membered nitrogen-heterocyclic compound with a relatively low oxidation potential, and the additive B is an aliphatic dinitrile or polynitrile compound with a relatively high oxidation potential. The lithium-ion battery of the present application has superb cycle performance and storage performance, especially under high-temperature and high-voltage conditions.

Abstract: The present application provides a lithium-ion battery and an apparatus, and the lithium-ion battery includes an electrode assembly and an electrolytic solution, the electrode assembly includes a positive electrode sheet, a negative electrode sheet and a separation film. A positive active material of the positive electrode sheet includes Lix1Coy1M1?y1O2?z1Qz1, 0.5?x1?1.2, 0.8?y1?1.0, 0?z1?0.1, M is selected from one or more of Al, Ti, Zr, Y, and Mg, and Q is selected from one or more of F, Cl, and S. The electrolytic solution contains vinylene carbonate, fluoroethylene carbonate, 1,3-propane sultone, and an additive A. The additive A is a polynitrile six-membered nitrogen-heterocyclic compound with a relatively low oxidation potential. The lithium-ion battery has superb cycle performance and storage performance, especially under high-temperature and high-voltage conditions.