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.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective:The purpose of this study is to explore in depth the mechanism of the impact of brain drain on organizational cohesion,with a view to cracking the vicious circle problem caused by brain drain in the northeast region and eliminating the unfavorable factors affecting the core cohesion of public health institutions.Methods:A combination of convenience sampling and snowball sampling was used to survey11 912 valid questionnaires,and the data were systematically analyzed using descriptive statistics,regression analysis,and moderated mediated effects analysis.Results:Brain drain has a significant negative effect on organizational cohesion(β=-1.29,P<0.001);and role overload partially mediates between the two,with a significant mediating effect(effect value=-0.56,95%CI=-0.67～-0.46),and the indirect effect accounts for 43.4%of the total effect;and monthly income significantly moderates the effect of brain drain on organizational cohesion through role overload(β=1.00,P<0.001).Conclusion:It is recommended to alleviate the sense of role overload among public health personnel by adjusting the level of salary and benefits,and to reduce the negative impact of brain drain by adopting long-term incentive mechanisms and other strategies,thus enhancing organizational cohesion and providing theoretical and practical guidance for relevant institutions.

Objective To understand the growth and development status and differences between small for gestational age(SGA)and appropriate for gestational age(AGA)preterm infants during corrected ages 0-24 months,and to provide a basis for early health interventions for preterm infants.Methods A retrospective study was conducted,selecting 824 preterm infants who received regular health care at the Guangzhou Women and Children's Medical Center from July 2019 to July 2022,including 144 SGA and 680 AGA infants.The growth data of SGA and AGA groups at birth and corrected ages 0-24 months were analyzed and compared.Results The SGA group had significantly lower weight and length than the AGA group at corrected ages 0-18 months(P<0.05),while there were no significant differences between the two groups at corrected age 24 months(P>0.05).At corrected age 24 months,85%(34/40)of SGA and 79%(74/94)of AGA preterm infants achieved catch-up growth.Stratified analysis by gestational age showed that there were significant differences in weight and length at corrected ages 0-9 months between the SGA subgroup with gestational age<34 weeks and the AGA subgroups with gestational age<34 weeks and≥34 weeks(P<0.05).In addition,the weight and length of the SGA subgroup with gestational age≥34 weeks showed significant differences compared to the AGA subgroups with gestational age<34 weeks and≥34 weeks at corrected ages 0-18 months and corrected ages 0-12 months,respectively(P<0.05).Catch-up growth for SGA infants with gestational age<34 weeks and≥34 weeks mainly occurred at corrected ages 0-12 months and corrected ages 0-18 months,respectively.Conclusions SGA infants exhibit delayed early-life physical growth compared to AGA infants,but can achieve a higher proportion of catch-up growth by corrected age 24 months than AGA infants.Catch-up growth can be achieved earlier in SGA infants with a gestational age of<34 weeks compared to those with≥34 weeks.

Objective This study aimed to clarify the intervention effect of salidroside(SAL)on lung injury caused by PM2.5 in mice and illuminate the function of SIRT1-PGC-1ɑ axis. Methods Specific pathogen-free(SPF)grade male C57BL/6 mice were randomly assigned to the following groups:control group,SAL group,PM2.5 group,SAL+PM2.5 group.On the first day,SAL was given by gavage,and on the second day,PM2.5 suspension was given by intratracheal instillation.The whole experiment consist of a total of 10 cycles,lasting 20 days.At the end of treatment,blood samples and lung tissues were collected and analyzed.Observation of pathological changes in lung tissue using inverted microscopy and transmission electron microscopy.The expression of inflammatory,antioxidants,apoptosis,and SIRT1-PGC-1ɑ proteins were detected by Western blotting. Results Exposure to PM2.5 leads to obvious morphological and pathologica changes in the lung of mice.PM2.5 caused a decline in levels of antioxidant-related enzymes and protein expressions of HO-1,Nrf2,SOD2,SIRT1 and PGC-1ɑ,and an increase in the protein expressions of IL-6,IL-1β,Bax,caspase-9 and cleaved caspase-3.However,SAL reversed the aforementioned changes caused by PM2.5 by activating the SIRT1-PGC-1α pathway. Conclusion SAL can activate SIRT1-PGC-1ɑ to ameliorate PM2.5-induced lung injury.

Objective This study aimed to comprehensively analyze and compare the clinicopathological features and prognosis of Chinese patients with human epidermal growth factor receptor 2(HER2)-low early breast cancer(BC)and HER2-IHC0 BC. Methods Patients diagnosed with HER2-negative BC(N=999)at our institution between January 2011 and December 2015 formed our study population.Clinicopathological characteristics,association between estrogen receptor(ER)expression and HER2-low,and evolution of HER2 immunohistochemical(IHC)score were assessed.Kaplan-Meier method and log-rank test were used to compare the long-term survival outcomes(5-year follow-up)between the HER2-IHC0 and HER2-low groups. Results HER2-low BC group tended to demonstrate high expression of ER and more progesterone receptor(PgR)positivity than HER2-IHC0 BC group(P<0.001).The rate of HER2-low status increased with increasing ER expression levels(Mantel-Haenszel χ2 test,P<0.001,Pearson's R=0.159,P<0.001).Survival analysis revealed a significantly longer overall survival(OS)in HER2-low BC group than in HER2-IHC0 group(P=0.007)in the whole cohort and the hormone receptor(HR)-negative group.There were no significant differences between the two groups in terms of disease-free survival(DFS).The discordance rate of HER2 IHC scores between primary and metastatic sites was 36.84%. Conclusion HER2-low BC may not be regarded as a unique BC group in this population-based study due to similar clinicopathological features and prognostic roles.

This data article describes the"Typical Regional Activity Patterns"(TRAP)dataset,which is based on the Tackling Key Problems in Air Pollution Control Program.In order to explore the interaction between air pollution and physical activity,we collected activity patterns of 9,221 residents with different occupations and lifestyles for three consecutive days in typical regions(Jinan and Baoding)where air pollutant concentrations were higher than those in neighboring areas.The TRAP dataset consists of two aspects of information:demographic indicators(personal information,occupation,personal habits,and living situation)and physical activity pattern data(activity location and intensity);additionally,the exposure measures of physical activity patterns are included,which data users can match to various endpoints for their specific purpose.This dataset provides evidence for exploring the attributes of activity patterns of residents in northern China and for interdisciplinary researchers to develop strategies and measures for health education and health promotion.

Objective To analyze the characteristics of healthcare-associated infection(HAI)in patients in liver transplantation intensive care unit(ICU),and provide basis for the effective prevention and control of liver post-transplantation infection.Methods Targeted surveillance data of HAI in liver transplantation ICU from 2018 to 2022 were analyzed retrospectively.Incidence,incidence trend,infection site,pathogens and drug resistance were analyzed.Results A total of 3 762 liver transplantation patients were surveilled,106 patients developed 133 cases of HAI,with an incidence of 2.82％and a case incidence of 3.54％.There was no significant difference among the years(P=0.473).Infection mainly occurred within 2 weeks after admission to ICU,accounting for 85.85％.The main infection sites included blood system(26.32％),respiratory system(22.56％),and surgical site(19.55％).The average utilization rates of central veinous catheterization,urethral catheterization,and ventilator were 85.77％,70.58％,and 40.83％,respectively.The incidences of central line-associated bloodstream infection(CLABSI),catheter-associated urinary tract infection(CAUTI),and ventilator-associated pneumonia(VAP)were 0.54‰,0.33‰,and 1.84‰,respectively.A total of 131 strains of pathogens were detected,of which Gram-negative bac-teria accounted for 38.17％and Gram-positive bacteria accounted for 29.77％.The top three pathogens were Kleb-siella pneumoniae(15.27％),Enterococcus faecium(11.45％),and Acinetobacter baumannii(9.16％).Conclusion Effective prevention and control measures should be taken based on the characteristics of HAI in the liver transplan-tation ICU,so as to curb bacterial resistance and reduce liver post-transplantation HAI.

Objective To analyze the characteristics of healthcare-associated infection(HAI)in patients in liver transplantation intensive care unit(ICU),and provide basis for the effective prevention and control of liver post-transplantation infection.Methods Targeted surveillance data of HAI in liver transplantation ICU from 2018 to 2022 were analyzed retrospectively.Incidence,incidence trend,infection site,pathogens and drug resistance were analyzed.Results A total of 3 762 liver transplantation patients were surveilled,106 patients developed 133 cases of HAI,with an incidence of 2.82％and a case incidence of 3.54％.There was no significant difference among the years(P=0.473).Infection mainly occurred within 2 weeks after admission to ICU,accounting for 85.85％.The main infection sites included blood system(26.32％),respiratory system(22.56％),and surgical site(19.55％).The average utilization rates of central veinous catheterization,urethral catheterization,and ventilator were 85.77％,70.58％,and 40.83％,respectively.The incidences of central line-associated bloodstream infection(CLABSI),catheter-associated urinary tract infection(CAUTI),and ventilator-associated pneumonia(VAP)were 0.54‰,0.33‰,and 1.84‰,respectively.A total of 131 strains of pathogens were detected,of which Gram-negative bac-teria accounted for 38.17％and Gram-positive bacteria accounted for 29.77％.The top three pathogens were Kleb-siella pneumoniae(15.27％),Enterococcus faecium(11.45％),and Acinetobacter baumannii(9.16％).Conclusion Effective prevention and control measures should be taken based on the characteristics of HAI in the liver transplan-tation ICU,so as to curb bacterial resistance and reduce liver post-transplantation HAI.