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 This study aims to systematically evaluate the evidence-based medicine of traditional Chinese medicine(TCM)in the treatment of dry eye,analyze its efficacy and differences compared with modern Western medicine treatments,and provide a scientific basis for clinical application.Methods By searching Chinese and English databases(including CNKI,Wanfang Data,PubMed,Cochrane Library,etc.),we included meta-analyses and systematic reviews of TCM treatments for dry eye.Literature was screened according to strict inclusion and exclusion criteria,and relevant data were extracted and integrated for analysis.The Mantel-Haenszel fixed-effects model was used to calculate the relative risk(RR)and mean difference(WMD),with the effect size expressed as a 95％confidence interval,to analyze the efficacy in-dicators of TCM treatment for dry eye.Results A total of 21 articles were finally included,involving various TCM inter-ventions for dry eye(such as Chinese herbal medicine,acupuncture,and TCM external therapies).The results showed that TCM treatment was superior to Western medicine alone in improving the overall clinical efficacy[RR=1.63,95％CI(1.46,1.81),P＜0.05],prolonging tear film break-up time[MD=2.23,95％CI(1.85,2.60),P＜0.05],and increasing tear secretion[MD=1.49,95％CI(1.04,1.94),P＜0.05].In addition,acupuncture,the combination of Chinese herbal medicine and Western medicine,and TCM external therapies all demonstrated unique advantages in improving dry eye symptoms and tear function.Conclusion TCM treatment for dry eye shows significant efficacy in key indicators such as overall clinical efficacy,tear film break-up time,and tear secretion,with a high level of safety.

Background and Aims:Radical resection is the only potentially curative treatment for intrahepatic cholangiocarcinoma(ICC),yet the high recurrence rate results in poor prognosis.In recent years,"textbook outcome"(TO)has been proposed as a comprehensive quality metric,but its association with prognosis remains unclear.This study aimed to analyze the risk factors influencing the achievement of TO after radical resection of ICC and to explore the relationship between TO and survival.Methods:A retrospective analysis was conducted on the clinical data of 180 ICC patients who underwent radical resection at the 904th Hospital of the Joint Logistic Support Force of the PLA between February 2018 and February 2023.Univariate and multivariate Logistic regression analyses were performed to identify risk factors associated with TO,and survival analysis was carried out using the Kaplan-Meier method and Log-rank test.Results:Of the 180 patients,66 achieved TO.Multivariate Logistic regression analysis indicated that preoperative total bilirubin＞22 μmol/L,preoperative CA19-9＞35 U/mL,maximum tumor diameter＞5 cm,poor tumor differentiation,microvascular invasion(MVI),and lymph node metastasis were independent risk factors for failing to achieve TO(all P＜0.05).Survival analysis demonstrated that patients who achieved TO had a significantly longer median survival compared with those who did not(36 months vs.16 months,P＜0.001).Conclusion:Preoperative total bilirubin＞22 μmol/L,preoperative CA19-9＞35 U/mL,maximum tumor diameter＞5 cm,poor tumor differentiation,MVI,and lymph node metastasis are independent risk factors for not achieving TO after radical resection of ICC.Patients who achieved TO exhibited markedly longer survival,suggesting that TO not only reflects perioperative treatment quality but also serves as an important prognostic indicator.Greater attention to these risk factors and optimization of perioperative management may improve the likelihood of achieving TO and enhance long-term outcomes.

The rapid and non-destructive detection of constituent content of fresh tea leaves shows an important reference value for quality identification of tea.Visible near infrared(Vis-NIR)spectroscopy has been used for qualitative and quantitative analysis of chemical components in plant samples with the advantages such as simple,rapid and non-destructive detection.In this study,residual attention convolutional neural network(RACNN)was used to predict the internal constituent content of fresh tea leaves.Firstly,the reflectance spectral data of the samples in the Vis-NIR band range and the constituent contents of gallic acid(GA),gallocatechin(GC),epigallocatechin(EGC),and epigallocatechin gallate(ECG)in fresh tea leaves were collected.Based on the preprocessing of the spectral data,the contents of the four components were predicted using a partial least squares regression(PLSR)model,and the optimal preprocessing was determined.Subsequently,the characteristic bands were extracted using the random forest(RF)algorithm.Finally,the performances of PLSR,convolutional neural network(CNN)and RACNN models were compared.The results showed that for GA,the RACNN model worked best with a validation set coefficient of determination(R2)of 0.946 and a root mean square error of the prediction set(RMSEP)of 1.173;for GC,the RACNN model works best with a validation set R2 of 0.928 and RMSEP of 6.081;for EGC,the RACNN model works best with a validation set R2 of 0.891 and a RMSEP of 15.197;for ECG,the RACNN model worked best with a validation set R2 of 0.878 and a RMSEP of 7.837.The RACNN model established by Vis-NIR spectroscopy combined with chemometrics could realize the accurate detection of the contents of components in fresh tea.

Objective:To determine the epidemiological characteristics of human bocavirus (HBoV) in children with acute respiratory infections (ARI) in Bengbu City, Anhui Province, in 2024.Methods:Nasopharyngeal swab samples were collected from 269 children with ARI in Bengbu City, Anhui Province, in 2024. Seventeen respiratory pathogens were screened using quantitative fluorescence PCR. For HBoV-positive samples, the VP1/VP2 structural gene fragments of HBoV were amplified and sequenced for genetic evolutionary analysis.Results:Among the 269 nasopharyngeal swab samples from children with ARI, the overall detection rate of respiratory pathogens was 48.33% (103/269). The top three pathogens with the highest detection rates were: Influenza A virus (FluA): 10.04% (27/269), Respiratory syncytial virus (RSV): 8.18% (22/269), Human bocavirus (HBoV): 7.43% (20/269). The age distribution of HBoV-infected children showed that the detection rate was highest in the 0-2 years age group (50%, 10/20), followed by the 3-5 years age group (25%, 5/20) and the over 6 years age group (25%, 5/20). However, there was no statistically significant difference in viral detection rates among the age groups. Genetic evolutionary analysis based on VP1/VP2 revealed that all 13 HBoV strains were of the HBoV-1 genotype.Conclusions:HBoV is one of the major pathogens causing ARI in children in Bengbu City, Anhui Province, in 2024, with HBoV-1 being the predominant genotype. Additionally, infants aged 0-2 years are the most susceptible population to HBoV infection.

Background and Aims:Radical resection is the only potentially curative treatment for intrahepatic cholangiocarcinoma(ICC),yet the high recurrence rate results in poor prognosis.In recent years,"textbook outcome"(TO)has been proposed as a comprehensive quality metric,but its association with prognosis remains unclear.This study aimed to analyze the risk factors influencing the achievement of TO after radical resection of ICC and to explore the relationship between TO and survival.Methods:A retrospective analysis was conducted on the clinical data of 180 ICC patients who underwent radical resection at the 904th Hospital of the Joint Logistic Support Force of the PLA between February 2018 and February 2023.Univariate and multivariate Logistic regression analyses were performed to identify risk factors associated with TO,and survival analysis was carried out using the Kaplan-Meier method and Log-rank test.Results:Of the 180 patients,66 achieved TO.Multivariate Logistic regression analysis indicated that preoperative total bilirubin＞22 μmol/L,preoperative CA19-9＞35 U/mL,maximum tumor diameter＞5 cm,poor tumor differentiation,microvascular invasion(MVI),and lymph node metastasis were independent risk factors for failing to achieve TO(all P＜0.05).Survival analysis demonstrated that patients who achieved TO had a significantly longer median survival compared with those who did not(36 months vs.16 months,P＜0.001).Conclusion:Preoperative total bilirubin＞22 μmol/L,preoperative CA19-9＞35 U/mL,maximum tumor diameter＞5 cm,poor tumor differentiation,MVI,and lymph node metastasis are independent risk factors for not achieving TO after radical resection of ICC.Patients who achieved TO exhibited markedly longer survival,suggesting that TO not only reflects perioperative treatment quality but also serves as an important prognostic indicator.Greater attention to these risk factors and optimization of perioperative management may improve the likelihood of achieving TO and enhance long-term outcomes.

Objective This study aims to systematically evaluate the evidence-based medicine of traditional Chinese medicine(TCM)in the treatment of dry eye,analyze its efficacy and differences compared with modern Western medicine treatments,and provide a scientific basis for clinical application.Methods By searching Chinese and English databases(including CNKI,Wanfang Data,PubMed,Cochrane Library,etc.),we included meta-analyses and systematic reviews of TCM treatments for dry eye.Literature was screened according to strict inclusion and exclusion criteria,and relevant data were extracted and integrated for analysis.The Mantel-Haenszel fixed-effects model was used to calculate the relative risk(RR)and mean difference(WMD),with the effect size expressed as a 95％confidence interval,to analyze the efficacy in-dicators of TCM treatment for dry eye.Results A total of 21 articles were finally included,involving various TCM inter-ventions for dry eye(such as Chinese herbal medicine,acupuncture,and TCM external therapies).The results showed that TCM treatment was superior to Western medicine alone in improving the overall clinical efficacy[RR=1.63,95％CI(1.46,1.81),P＜0.05],prolonging tear film break-up time[MD=2.23,95％CI(1.85,2.60),P＜0.05],and increasing tear secretion[MD=1.49,95％CI(1.04,1.94),P＜0.05].In addition,acupuncture,the combination of Chinese herbal medicine and Western medicine,and TCM external therapies all demonstrated unique advantages in improving dry eye symptoms and tear function.Conclusion TCM treatment for dry eye shows significant efficacy in key indicators such as overall clinical efficacy,tear film break-up time,and tear secretion,with a high level of safety.

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 determine the epidemiological characteristics of human bocavirus (HBoV) in children with acute respiratory infections (ARI) in Bengbu City, Anhui Province, in 2024.Methods:Nasopharyngeal swab samples were collected from 269 children with ARI in Bengbu City, Anhui Province, in 2024. Seventeen respiratory pathogens were screened using quantitative fluorescence PCR. For HBoV-positive samples, the VP1/VP2 structural gene fragments of HBoV were amplified and sequenced for genetic evolutionary analysis.Results:Among the 269 nasopharyngeal swab samples from children with ARI, the overall detection rate of respiratory pathogens was 48.33% (103/269). The top three pathogens with the highest detection rates were: Influenza A virus (FluA): 10.04% (27/269), Respiratory syncytial virus (RSV): 8.18% (22/269), Human bocavirus (HBoV): 7.43% (20/269). The age distribution of HBoV-infected children showed that the detection rate was highest in the 0-2 years age group (50%, 10/20), followed by the 3-5 years age group (25%, 5/20) and the over 6 years age group (25%, 5/20). However, there was no statistically significant difference in viral detection rates among the age groups. Genetic evolutionary analysis based on VP1/VP2 revealed that all 13 HBoV strains were of the HBoV-1 genotype.Conclusions:HBoV is one of the major pathogens causing ARI in children in Bengbu City, Anhui Province, in 2024, with HBoV-1 being the predominant genotype. Additionally, infants aged 0-2 years are the most susceptible population to HBoV infection.

Objective To analyze the risk factors for extrauterine growth retardation(EUGR)in late preterm infants appropriate for gestational age.Methods The clinical data in 1 402 preterm infants appropri-ate for gestational age delivered and hospitalized in this hospital from January 2016 to June 2022 were analyzed retrospectively.They were divided into the EUGR group(n=244)and the non-EUGR group(n=1 158)ac-cording to whether or not the body weight at discharge was below the 10th percentile of the growth curve for the same gestational age at the same period based on the Fenton's preterm growth curve.The clinical data of preterm infants and mothers of the two groups were collected.The risk factors for EUGR occurrence in pre-mature infants were analyzed.Results Among 1 402 preterm infants appropriate for gestational age,EUGR occurred in 244 cases with the EUGR incidence rate of 17.4％.The EUGR incidence rate had no statistical difference among the different fetal ages of premature infants(P＞0.05).The EUGR incidence rate had sta-tistical difference among different birth weights of premature infants(P＜0.05).The logistic regression anal-ysis showed that male(OR=1.694,95％CI:1.144-2.507),low birth weight(OR=0.989,95％CI:0.988-0.991),feeding intolerance(OR=2.719,95％CI:1.234-5.990),short gestational weeks(OR=0.146,95％CI:0.103-0.207)and hospitalization duration extension(OR=1.073,95％CI:1.031-1.117)were the risk factors for EUGR occurrence in late premature infants appropriate for gestational age in discharge.The sub-group analysis showed that male,low birth weight,feeding intolerance and hospitalization duration extension were the risk factors for EUGR occurrence in the preterm infants with gestational ages of 34-＜36 weeks(P＜0.05).Low birth weight and feeding intolerance only affected the preterm infants≥36 weeks of gesta-tional age(P＜0.05).Conclusion Strengthening the pregnant duration health care and active nutritional sup-port after birth may reduce the risk of EUGR occurrence in late premature infants.