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.

Solid-phase extraction(SPE)combined with surface-enhanced Raman spectroscopy(SERS)has emerged as a promising analytical technique for detection and analysis of trace components in complex sample matrices.SPE enriches analytes through selective adsorption and solvent elution,effectively increasing the concentration and signal intensity.SERS enables ultra-sensitive and highly selective molecular analysis through the use of SERS-active substrates engineered to amplify Raman signals.The integration of these two techniques overcomes the limitations of conventional Raman spectroscopy in low-concentration detection field,while significantly improving sample preparation efficiency and analytical accuracy.This review provided a comprehensive overview of the characteristics of three SPE-SERS coupling modes,including two-step,one-step,and online integration.Special emphasis was placed on recent advancements in one-step SPE-SERS approaches based on novel functional adsorbent materials such as graphene,metal-organic frameworks,covalent organic frameworks,and molecularly imprinted polymers.Furthermore,future directions and development prospects of SPE-SERS technology were discussed.

Pregnancy complicated with acute myeloid leukemia is uncommon,requiring the collaborative management by specialists from departments of hematology,obstetrics,anesthesiology,and neonatology for both the parturient and the neonate.This article reports an anesthesic management process of a parturient woman with acute myeloid leukemia and reviews relevant literature published in recent years to systematically summarize the approach for anesthesia-related perinatal management of such patients.
Humans ; Female ; Pregnancy ; Leukemia, Myeloid, Acute/complications* ; Pregnancy Complications, Neoplastic ; Adult ; Anesthesia, Obstetrical/methods*

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 observe the value of artificial intelligence ultrasound combined with serum hyaluronic acid synthase 2(HAS2)and trefoil factor-1(TFF1)for early diagnosis of breast cancer.Methods Totally 176 patients with suspected breast cancer were retrospective enrolled and divided into malignant group(n=50)and benign group(n=126)according to pathological results.Artificial intelligence ultrasound and convolutional neural network algorithms were used to automatically label suspicious breast lesions.The lesions were manually graded based on breast imaging reports and data systems,classifying 0-3 grades as benign lesions,4-5 grades as malignant lesions.Clinical data and artificial intelligence ultrasound manifestations were compared between groups.Receiver operating characteristic curve was drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of HAS2,TFF1,artificial intelligence ultrasound and their combination for diagnosing breast cancer.Results HAS2,TFF1,as well as the proportions of abnormal glandular thickness,low-echo lesions and abnormal blood flow morphology in malignant group were all higher than those in benign group(all P＜0.001).AUC of serum HAS2,TFF1 and artificial intelligence ultrasound for diagnosing breast cancer was 0.772,0.754 and 0.859,respectively.The combined diagnostic efficacy of the above three(AUC=0.925)was higher than single diagnostic efficacy(all P＜0.05).Conclusion Artificial intelligence ultrasound combined with serum HAS2 and TFF1 had good efficacy for early diagnosis of breast cancer.

Objective:A preliminary trial is conducted to explore whether perioperative(preoperative,intraoperative,and postoperative)electroacupuncture is more effective than postoperative electroacupuncture in improving gastrointestinal function for colorectal cancer patients.Methods and analysis:The study proposes a randomized,parallel-controlled,single-center trial involving 30 colorectal cancer patients aged 18-79 requiring elective surgery.Participants are randomly assigned to two groups,with equal allocation,where one group receives perioperative electroacupuncture,and the other group receives postoperative electroacupuncture.The treatment duration spans from preoperative to postoperative 72 h,with a subsequent 28-day follow-up period.The primary outcome is the time of first postoperative defecation.The secondary outcomes include the recovery time of postoperative bowel sounds,time of the first flatus,dietary recovery,postoperative gastrointestinal dysfunction frequency,quality of life scale,postoperative pain degree,time of the first ambulation,length of hospital stay,gastrointestinal hormone indicators,and adverse events.The coagulation function test,liver and renal function,and stool and blood routine serve as security biomarkers.The statistical analysis includes the t-test,rank-sum test,Chi-square test,and analysis of variance.A two-sided significance level is set at 5%.Discussion:This study aims to evaluate the feasibility and preliminary effectiveness of perioperative electroacupuncture for gastrointestinal function recovery following colorectal cancer surgery.The study's strengths include its randomized design,well-defined intervention periods,and multi-dimensional outcome assessment.Nevertheless,limitations,such as the small sample size and single-center setting,may affect external validity.The findings will guide protocol refinement and sample size estimation for future large-scale multi-center randomized controlled trials.

Objective To observe the value of artificial intelligence ultrasound combined with serum hyaluronic acid synthase 2(HAS2)and trefoil factor-1(TFF1)for early diagnosis of breast cancer.Methods Totally 176 patients with suspected breast cancer were retrospective enrolled and divided into malignant group(n=50)and benign group(n=126)according to pathological results.Artificial intelligence ultrasound and convolutional neural network algorithms were used to automatically label suspicious breast lesions.The lesions were manually graded based on breast imaging reports and data systems,classifying 0-3 grades as benign lesions,4-5 grades as malignant lesions.Clinical data and artificial intelligence ultrasound manifestations were compared between groups.Receiver operating characteristic curve was drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of HAS2,TFF1,artificial intelligence ultrasound and their combination for diagnosing breast cancer.Results HAS2,TFF1,as well as the proportions of abnormal glandular thickness,low-echo lesions and abnormal blood flow morphology in malignant group were all higher than those in benign group(all P＜0.001).AUC of serum HAS2,TFF1 and artificial intelligence ultrasound for diagnosing breast cancer was 0.772,0.754 and 0.859,respectively.The combined diagnostic efficacy of the above three(AUC=0.925)was higher than single diagnostic efficacy(all P＜0.05).Conclusion Artificial intelligence ultrasound combined with serum HAS2 and TFF1 had good efficacy for early diagnosis of breast cancer.

Objective:A preliminary trial is conducted to explore whether perioperative(preoperative,intraoperative,and postoperative)electroacupuncture is more effective than postoperative electroacupuncture in improving gastrointestinal function for colorectal cancer patients.Methods and analysis:The study proposes a randomized,parallel-controlled,single-center trial involving 30 colorectal cancer patients aged 18-79 requiring elective surgery.Participants are randomly assigned to two groups,with equal allocation,where one group receives perioperative electroacupuncture,and the other group receives postoperative electroacupuncture.The treatment duration spans from preoperative to postoperative 72 h,with a subsequent 28-day follow-up period.The primary outcome is the time of first postoperative defecation.The secondary outcomes include the recovery time of postoperative bowel sounds,time of the first flatus,dietary recovery,postoperative gastrointestinal dysfunction frequency,quality of life scale,postoperative pain degree,time of the first ambulation,length of hospital stay,gastrointestinal hormone indicators,and adverse events.The coagulation function test,liver and renal function,and stool and blood routine serve as security biomarkers.The statistical analysis includes the t-test,rank-sum test,Chi-square test,and analysis of variance.A two-sided significance level is set at 5%.Discussion:This study aims to evaluate the feasibility and preliminary effectiveness of perioperative electroacupuncture for gastrointestinal function recovery following colorectal cancer surgery.The study's strengths include its randomized design,well-defined intervention periods,and multi-dimensional outcome assessment.Nevertheless,limitations,such as the small sample size and single-center setting,may affect external validity.The findings will guide protocol refinement and sample size estimation for future large-scale multi-center randomized controlled trials.

Objective:To investigate the efficacy and safety of zanubrutinib in the treatment of autoimmune cytopenia(AIC)secondary to indolent B-cell lymphoma(iBCL).Methods:A total of 23 patients with iBCL complicated with AIC who were admitted to our hospital from December 2019 to September 2023 were selected as the research subjects.All patients were administered zanubrutinib 160 mg,twice daily,and continued oral administration.The objective response rate(ORR)of AIC,the therapeutic effect on lymphoma,and the incidence of adverse reactions were observed.Results:After a median follow-up of 20(5 to 48)months,the median duration of response was 9(interquartile range[IQR]5-24)months.AICA efficacy assessment showed that there were 10 cases of complete remission(CR),9 cases of partial remission(PR),and 4 cases of no response(NR),and the ORR was 82.6％(19/23)(95％CI:61.2-95.0).Among them,for the 14 patients with autoimmune hemolytic anemia(AIHA),7 achieved CR,5 had PR,and 2 had NR.For the 4 patients with immune thrombocytopenia(ITP),1 reached CR,2 had PR,and 1 had NR.Regarding the 5 patients with Evans syndrome(ES),2 achieved CR,2 had PR,and 1 had NR.The assessment of lymphoma efficacy showed that there were 10 cases of CR,7 cases of PR,6 cases of stable disease(SD),and no progressive cases,with an ORR of 73.9％(17/23)(95％CI:51.6-89.8).The main adverse reactions during the treatment were infection,hemorrhage,neutropenia,elevated lymphocyte count,rash,and anemia.Most of these adverse reactions were grade 1-2 and tolerable.No arrhythmia and hypertension occurred,and no deaths due to adverse reactions.Conclusion:Zanubrutinib is effective and safe for AIC secondary to iBCL.

Objective:To explore the potential value of endoplasmic reticulum stress-related genes(ERSRGs)in assessing the prognosis of breast cancer patients,and to construct a risk scoring model and a prognostic nomogram.Methods:ERSRGs were retrieved from the Genecards data-base,and three machine learning algorithms,namely"LASSO","RF",and"Xgboost",were used in the TCGA database to screen for core prognostic genes and establish a corresponding risk scoring model.The model was externally validated using the GSE20685 and GSE86166 datasets.Based on the risk scoring model,nomograms were further constructed to predict the 3-year and 5-year overall survival(OS)rates of breast cancer patients.The expression of the model genes at the pro-tein and single-cell levels was assessed through the Human Protein Atlas(HPA)and a single-cell sequencing dataset(GSE176078).Results:A total of 1301 ERSRGs were screened from the Genecards database.Among them,237 ERSRGs were differentially expressed between breast cancer and normal tissues.Univariate Cox regression analysis revealed that 22 ERSRGs were as-sociated with the prognosis of breast cancer patients.Through the three machine learning algo-rithms of LASSO,RF,and Xgboost,five ERSRGs(MAP2K6,IFNG,VIM,TH,CEMIP)were identi-fied as core genes related to the prognosis of breast cancer,and an ERSRGs-related risk scoring model and prognostic nomogram were constructed.Both internal and external dataset validations showed significant differences among patients in different risk groups.The C-index,ROC curve,and calibration curve all indicated that the nomogram had good predictive performance.Conclu-sion:In this study,the nomogram constructed based on the ERSRGS-related risk score model can accurately predict the prognosis of breast cancer patients,which can provide certain reference for clinical diagnosis,treatment and the development of new tumor therapeutic targets.