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.

Objective:To evaluate the risk factors for the formation of parastomal Hernias(PSH)using meta-analysis,and to provide a theoretical basis for the prevention and treatment of PSH.Methods:Case control or Cohort study of PSH risk factors were collected by searching PubMed,CNKI,Wanfang data and other databases.Extract relevant data and perform meta-analysis using RevMan 5.3.Results:The results included a total of 16 studies,with a total sample size of 2411 cases,including 670 in the PSH group and 1741 in the non PSH group.The results showed that advanced age,female gender,BMI≥25,hypertension,COPD/chronic cough,diabetes,and postoperative Hypoproteinemia could increase the risk of PSH(P＜0.05);Smoking,previous ab-dominal surgery history,preoperative radiotherapy/chemotherapy etc.,were not significantly asso-ciated with the occurrence of PSH(P＞0.05).Conclusion:The current evidence shows that ad-vanced age,female gender,BMI≥25,hypertension,COPD/chronic cough,diabetes,postoperative Hypoproteinemia are risk factors for PSH,and extraperitoneal stoma can reduce the occurrence of PSH.

Zona Incerta ; Prefrontal Cortex ; Fear ; Neural Pathways