With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Aim To observe the role of salvianolic acid B(Sal B)in enhancing the survival of random skin flaps and to preliminarily explore its potential mecha-nisms.Methods The appearance,degree of edema,color and hair condition of the skin flap were evaluated seven days after operation.The vascular network and blood flow of random flaps were measured by laser Doppler flow measurement.HE staining was used to detect the growth of microvessels in random flaps.The expressions of VEGF and CD34 were detected by im-munohistochemistry,the expressions of RIPK1,2 and LC3 Ⅱ were detected by immunofluorescence,and the effects of autophagy related proteins and signaling path-ways were detected by Western blot.Results The ex-perimental results showed that Sal B induced autophagy in the random skin flaps,promoted angiogenesis,and reduced oxidative stress and necrotic apoptosis,signifi-cantly increasing the survival rate of the flaps.Immu-nohistochemistry,immunofluorescence staining,and Western blot confirmed that Sal B induced autophagy in the random skin flaps by activating TFE3 protein.Conclusion Sal B can promote autophagy in cells of random skin flaps and reduce their necrotic apoptosis by activating TFE3 protein.