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 explore the risk factors for complications of facial autologous fat transplantation.Methods:A total of 51 female patients (case group) with moderate to severe complications following facial autologous fat transplantation at the Fourth Medical Center of Chinese PLA General Hospital from November 2016 to October 2022 were included in this retrospective study. The median age was 31.0 (27.0, 40.0) years. After age and surgical date were matched with ratio of 1∶1, a total of 51 female patients who received autologous fat transplants at several official medical facilities and experienced no complications within a year after the procedure made up the control group. The median age of the control group was 32.0 (26.0, 41.0) years. The clinical characteristics of the two groups were compared, and the factors for complications of facial autologous fat transplantation were examined using a multivariate logistic regression model.Results:In the case group, complications included facial artery embolism (7 cases), ophthalmic artery embolism (19 cases), infection (19 cases), and fat necrosis (6 cases), with 26 severe and 25 moderate cases. No significant differences were found between the two groups in age, body mass index (BMI), marital status, history of hypertension, infectious diseases, allergies, smoking, or alcohol consumption (all P>0.05). However, significant differences were observed in a history of facial surgery, perimenstrual phase, surgical site, and fat donor site (all P<0.05). Multivariate logistic regression analysis revealed that a history of facial surgery ( OR=17.289, 95% CI: 4.851-61.616, P<0.001) and the surgical site being a clinic/outpatient department (compared to a hospital, OR=7.708, 95% CI: 2.482-23.939, P<0.001) were risk factors for postoperative complications after facial autologous fat transplantation. Conclusion:A history of facial surgery and the surgical site being a clinic/outpatient department (compared to a hospital) are risk factors for complications of facial autologous fat transplantation.

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 study the difference in hepatotox-icity of psoralen on normal rats and Yin-deficiency rats from the perspective of lipid metabolism,so as to help explain the mechanism of psoralen cautiously used in patients with Yin deficiency recorded in ancient books.Methods SD rats were randomly divided into the nor-mal control group(carboxymethyl cellulose-Na,CMC-Na),normal administration group(CMC-Na+psor-alen),Yin-deficiency control group(CMC-Na+thy-roxine)and Yin-deficiency administration group(CMC-Na+thyroxine+psoralen).The model of Yin-deficiency was established by thyroxine(1 mg·kg-1)for ten days,and then psoralen(200 mg·kg-1)was given for three days.The serum indexes related to liver injury were detected by automatic biochemical analy-zer,the morphological changes of liver tissue were ob-served using HE and oil red O staining,and the relative transcription levels of lipid metabolism related enzymes and mRNA of transporter and endoplasmic reticulum stress related factors were detected using Real-time PCR.Results After intragastric administration of psoralen for three days,compared with the normal group,the levels of serum alanine aminotransferase(ALT),aspartate transaminase(AST),total bile acid(TBA)and triglyeride(TG)in Yin deficiency group increased more significantly,while TC,ALB and TP de-creased more significantly,and liver HE and oil red O staining showed more obvious lipid degeneration.TG synthesis factors adrenocortical carcinoma(ACC),fatty acid synthase(FASN)and sterolregulatory element binding protein-1(SREBP-1)were down-regulated more significantly,TG transport factors mili-total pro-tein(MTP)and lipoprotein pipase(LPL)were down-regulated more evidently,fatty acid β-oxidation related factors carnitine palmitoyltransferase 1A(CPT1A),carnitine/organic cation transporter 2(OCTN2)and peroxisome proliferators-activated receptors-alpha(PPARα)were down-regulated more apparently,TC transporter adenosine triphosphate binding cassette transporter G8(ABCG8)and bile acid receptor farne-soid X receptor(FXR)were down-regulated more ob-viously,and endoplasmic reticulum stress factor activa-ting transcription factor 4(ATF4)was up-regulated more significantly.Conclusions Psoralen can cause more severe hepatotoxicity in Yin deficiency rats than that in normal administration group,and its mechanism may be related to the disorder of hepatic lipid metabo-lism,aggravation of hepatic cholestasis and steatosis,and activation of endoplasmic reticulum stress re-sponse.

Aim To study the difference in hepatotox-icity of psoralen on normal rats and Yin-deficiency rats from the perspective of lipid metabolism,so as to help explain the mechanism of psoralen cautiously used in patients with Yin deficiency recorded in ancient books.Methods SD rats were randomly divided into the nor-mal control group(carboxymethyl cellulose-Na,CMC-Na),normal administration group(CMC-Na+psor-alen),Yin-deficiency control group(CMC-Na+thy-roxine)and Yin-deficiency administration group(CMC-Na+thyroxine+psoralen).The model of Yin-deficiency was established by thyroxine(1 mg·kg-1)for ten days,and then psoralen(200 mg·kg-1)was given for three days.The serum indexes related to liver injury were detected by automatic biochemical analy-zer,the morphological changes of liver tissue were ob-served using HE and oil red O staining,and the relative transcription levels of lipid metabolism related enzymes and mRNA of transporter and endoplasmic reticulum stress related factors were detected using Real-time PCR.Results After intragastric administration of psoralen for three days,compared with the normal group,the levels of serum alanine aminotransferase(ALT),aspartate transaminase(AST),total bile acid(TBA)and triglyeride(TG)in Yin deficiency group increased more significantly,while TC,ALB and TP de-creased more significantly,and liver HE and oil red O staining showed more obvious lipid degeneration.TG synthesis factors adrenocortical carcinoma(ACC),fatty acid synthase(FASN)and sterolregulatory element binding protein-1(SREBP-1)were down-regulated more significantly,TG transport factors mili-total pro-tein(MTP)and lipoprotein pipase(LPL)were down-regulated more evidently,fatty acid β-oxidation related factors carnitine palmitoyltransferase 1A(CPT1A),carnitine/organic cation transporter 2(OCTN2)and peroxisome proliferators-activated receptors-alpha(PPARα)were down-regulated more apparently,TC transporter adenosine triphosphate binding cassette transporter G8(ABCG8)and bile acid receptor farne-soid X receptor(FXR)were down-regulated more ob-viously,and endoplasmic reticulum stress factor activa-ting transcription factor 4(ATF4)was up-regulated more significantly.Conclusions Psoralen can cause more severe hepatotoxicity in Yin deficiency rats than that in normal administration group,and its mechanism may be related to the disorder of hepatic lipid metabo-lism,aggravation of hepatic cholestasis and steatosis,and activation of endoplasmic reticulum stress re-sponse.

Objective:To explore the risk factors for complications of facial autologous fat transplantation.Methods:A total of 51 female patients (case group) with moderate to severe complications following facial autologous fat transplantation at the Fourth Medical Center of Chinese PLA General Hospital from November 2016 to October 2022 were included in this retrospective study. The median age was 31.0 (27.0, 40.0) years. After age and surgical date were matched with ratio of 1∶1, a total of 51 female patients who received autologous fat transplants at several official medical facilities and experienced no complications within a year after the procedure made up the control group. The median age of the control group was 32.0 (26.0, 41.0) years. The clinical characteristics of the two groups were compared, and the factors for complications of facial autologous fat transplantation were examined using a multivariate logistic regression model.Results:In the case group, complications included facial artery embolism (7 cases), ophthalmic artery embolism (19 cases), infection (19 cases), and fat necrosis (6 cases), with 26 severe and 25 moderate cases. No significant differences were found between the two groups in age, body mass index (BMI), marital status, history of hypertension, infectious diseases, allergies, smoking, or alcohol consumption (all P>0.05). However, significant differences were observed in a history of facial surgery, perimenstrual phase, surgical site, and fat donor site (all P<0.05). Multivariate logistic regression analysis revealed that a history of facial surgery ( OR=17.289, 95% CI: 4.851-61.616, P<0.001) and the surgical site being a clinic/outpatient department (compared to a hospital, OR=7.708, 95% CI: 2.482-23.939, P<0.001) were risk factors for postoperative complications after facial autologous fat transplantation. Conclusion:A history of facial surgery and the surgical site being a clinic/outpatient department (compared to a hospital) are risk factors for complications of facial autologous fat transplantation.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Epidural labor analgesia aims to provide effective medical services to alleviate labor pain in parturients, while adhering to the principles of voluntary participation and clinical safety. In 2018, Peking Union Medical College Hospital(PUMCH)became one of the first pilot units for labor analgesia in China, and has achieved satisfactory results in high-quality development of labor analgesia. This article mainly introduces the achievements and experience of labor analgesia at PUMCH, including: (1) prioritizing maternal and infant safety, arranging personnel rationally, and developing standardized treatment processes through multidisciplinary collaboration to ensure safe and comfortable childbirth; (2) leveraging the hospital's comprehensive capabilities in emergency treatment, and improving collaborative rescue plans for critically ill parturients and newborns; (3) implementing advanced teaching methods to effectively train and conduct simulated drills for labor analgesia and rescue of critically ill parturients; (4) conducting patient education and informative lectures to help parturients acquire a scientific understanding of labor analgesia. We hope that this experience can provide reference and inspiration for other hospitals.