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.

The recombined adenovirus DNA was transfected into 293 cells for packing and amplification of replication-deficient Ad-CMV-E6/E7, Ad-K14 -E6/E7 virus was purified by CsCl density gradient centrifugation , recombined adenovirus Ad-CMV-E6/E7, Ad-K14 -E6/E7 were used as experimental group, while pAd-CMV and pAdtrack-K14 were used as control group. Four of them were injected through one main vein of nude mice tail respectively. These mice were then treated with 0.05 mg 17beta-estradiol over 12 weeks. Mice were anaesthesiaed with 2.5% Avertint and the vagina, mammary gland, ovaries and uterus were dissected and fixed in 3.75% paraformaldehyde overnight at 4 degrees C. Paraffin-embedded sections, HE staining and identification of P53 and Bcl-2 protein via immunohistochemistry were performed. The expression of E6/E7 was verified by RT-PCR in different tissue of nude mice. HE staining showed evident hyperplasy in cervix-uterus transformation zone of experimental group 2. The expression of mutant P53 and Bcl-2 were higher than control group via immunohistochemical S-P method in uterus stroma-cell. Western blotting also showed that E6 protein was expressed. The expression of E6/E7 was higher than control group by human cytokeratin promoter 14 and hyperlasy changes were detected in epithelial tissue of cervix-uterus transformation zone.
Adenoviridae ; genetics ; Animals ; Blotting, Western ; Cell Line ; Female ; Genital Diseases, Female ; pathology ; virology ; Genitalia, Female ; pathology ; virology ; Humans ; Immunohistochemistry ; Mammary Glands, Animal ; metabolism ; pathology ; Mice ; Mice, Nude ; Oncogene Proteins, Viral ; genetics ; metabolism ; Ovary ; metabolism ; pathology ; Papillomaviridae ; metabolism ; physiology ; Papillomavirus E7 Proteins ; Proto-Oncogene Proteins c-bcl-2 ; metabolism ; Repressor Proteins ; genetics ; metabolism ; Reverse Transcriptase Polymerase Chain Reaction ; Tumor Suppressor Protein p53 ; metabolism ; Uterus ; metabolism ; pathology ; Vagina ; metabolism ; pathology