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 investigate the correlation of the characteristics of symptomatic middle cerebral artery plaques with the risk of stroke recurrence based on high-resolution vessel wall imaging(HR-VWI).Methods Totally 83 patients hospitalized for acute ischemic stroke(AIS)and transient ischemic attack(TIA)at Jingmen People's Hospital and Yichang Central People's Hospital from January 2019 to August 2022 were selected prospectively,who all underwent the treatment with antiplatelet aggregation and intensive lipid lowering by statins.During the follow-up,AIS or TIA recurrences were determined in case of newly found symptoms of neurological impairment in the same supply area of the responsible vessel or new infarct foci confirmed by cranial diffusion weighted imaging(DWI).The patients with AIS or TIA recurrences were enrolled into a recurrence group,and the remained ones were divided into a non-recurrence group.The recurrence group went through HR-VWI scanning within two weeks of recurrence and statin treatment,and the non-recurrence group was examined with HR-VWI half a year after receiving statin treatment.All the patients had their clinical indexes compared before and after statin treatment,the baseline data of the two groups underwent univariate analysis,and Logistic regression analysis was performed for the high-risk factors related to recurrence.SPSS 22.0 software was used for statistical analysis.Results After six months of statin treatment,all the patients were improved in TC,TG,luminal stenosis rate,high T1WI signal,plaque burden,plaque enhancement rate and NIHSS score,with the differences being significant(all P＜0.05).Univariate analysis showed the recurrence group had higher plaque enhancement rates(P=0.012)and higher plaque burden(P=0.047)when compared with the non-recurrence group,with the differences being significant;the two groups were not statistically different in luminal stenosis rate,high T1WI signal,plaque thickness and remodeling index(all P＞0.05).Multivariate logistic regression analysis indicated the plaque enhancement rate was independently correlated with stroke recurrence within 6 months(P=0.027).Conclusion HR-VWI can effectively assess MCA plaque characteristics in recurrent stroke patients,and high plaque enhancement rate faciliates the evaluation of stroke recurrence.[Chinese Medical Equipment Journal,2025,46(2):63-67]

Objective:To explore the structural relationship between WMSDs in the upper limbs and various risk factors in the occupational population in China, based on a large sample epidemiological survey and structural equation analysis, and to establish a structural equation model, so as to lay a foundation for the prevention and control of such diseases.Methods:The Chinese version of the Musculoskeletal Disorders Electronic Questionnaire was used to conduct a nationwide survey on the prevalence of WMSDs in the upper extremity. Six factors related to WMSDs in the upper extremity were extracted by the classification standard of adverse ergonomic factors and their source and confirmatory factor analysis, including work organization, work type, upper extremity work posture, individual factors, upper extremity fatigue and upper extremity WMSDs. The structural equation analysis was carried out and the structural equation model was established.Results:The incidence of WMSDs and fatigue in the upper limbs was 24.44% and 43.76%, respectively. The adjusted structural equation model fitting indicators were generally up to the standard (GFI=1.000, AGFI=1.000, RMSEA=0.043, NFI=0.808, TLI=0.784) . The four exogenous latent variables of work organization, work type, upper limb work posture and individual factors were correlated. There was a strong positive correlation between job type and upper limb work posture ( r=0.865) , a moderate positive correlation between work organization and job type and upper limb work posture ( r=0.570, 0.490) , and a weak negative correlation between individual factors and the other three exogenous latent variables. Upper limb work posture and individual factors had direct effects on upper limb WMSDs, and the effect coefficients were 0.10 and 0.06, respectively. Upper limb fatigue played a mediating role between work organization, work type, upper limb work posture and upper limb WMSDs. The effect coefficient was 0.46, and the composition ratios of indirect effects were 100.0%, 100.0%, and 38.3%, respectively. The direct path effect of upper limb work posture, individual factors and upper limb WMSDs was weaker than the mediating path through upper limb fatigue. Conclusion:When carrying out the prevention and control of upper limbWMSDs, it is necessary to comprehensively consider the pathogenesis path of upper limb muscle fatigue and upper limb WMSDs caused by work organization, work type, and upper limb work posture, so as to provide theoretical reference for improving the prevention and control level of such diseases.

Conventional X-ray coronary angiography using iodinated contrast media is the gold standard technique for diagnosing coronary artery disease and determining treatment strategies,including percutaneous coronary intervention(PCI).However,severe allergy to iodinated contrast agents and renal insufficiency,as well as severely hyperthyroid patients,limit the use of iodinated contrast agents,especially in the face of acute coronary syndromes requiring emergency PCI.Gadolinium-based contrast agent is mainly developed for use in magnetic resonance imaging examinations,and there are few studies on whether it can be used for coronary angiography.We report a case of a patient who had a severe allergic reaction to an iodine contrast agent,and ultimately had a successful complex coronary intervention guided by the application of Gadolinium-based contrast agent combined with intravascular ultrasound.This case and a review of the relevant literature provide new ideas for coronary artery examination and treatment in patients with contraindications to iodine.

Objective:To investigate the risk factors and preventive strategies for post laparoscopic one-stage ap-pendectomy for fatty liquefaction(OIH)in pediatric appendiceal abscesses.Methods:170 children with appendiceal ab-scess who underwent laparoscopic one-stage surgery to remove the appendix in Jiaozuo Maternal and Child Health Hospital,Henan Province,from January 2021 to December 2024 were selected for the study.The first 100 cases were included in the training set,patients were divided into the non-OIH group(n=66)and the OIH group(n=34)according to whether OIH occurred in the postoperative period.According to the same criteria,the latter 70 children with appendiceal abscess were included in the validation set,including 44 in the non-OIH group and 26 in the OIH group.Univariate and multivariate logistic regression was applied to analyse the factors influencing postoperative OIH.Stepwise regression was used to assess the importance of each factor,and the factors were ranked according to the Akaike Information Cri-teria(AIC).A risk prediction model for postoperative OIH was constructed and evaluated by strong influence point analy-sis,ROC curve,calibration curve,and decision curve.Results:In the training and validation sets,the differences in general information such as fat thickness,use of high-frequency electrocautery,incision cleaning,Hb,WBC,Alb,HbA1c,and comorbid underlying diseases between the non-OIH and OIH groups were statistically significant(P<0.05).The re-sults of multivariate logistic regression analysis showed that fat thickness,use of high-frequency electrosurgical knife,incision cleaning,Hb,WBC,Alb,HbA1c,and co-morbid underlying diseases were independent influences on OIH(P<0.05).Fat thickness,Alb,and use of HFD were most strongly associated with postoperative OIH,and the multifactorial model consisting of fat thickness,Alb,and use of HFD model had a good value for assessing the risk assessment of postoperative OIH,and had a high predictive value.The strong influence point analyses of the regression model rows showed that the Cook distances were all less than 1,i.e.,there were no data points in the modelled data that signifi-cantly influenced the estimation of model parameters.the area under the ROC curve(AUC)was 0.925(95%CI:0.887～0.953),i.e.,the model had good discriminatory ability.The model calibration curve was nearly a diagonal line,implying that the predicted probability was approximately equal to the actual probability,and the calculated Brier value=0.095,in-dicating that the model had good predictive ability.The decision curves of the predictive model were higher than the 2 extreme curves for threshold probabilities of 0.1 to 0.9,i.e.,the net benefit of the predictive model was higher.Conclu-sion:Fat thickness,Alb levels,and high-frequency electrosurgical knife use showed a strong association with postop-erative OIH.A multifactorial model constructed from fat thickness,Alb levels,and high-frequency electrocautery knife use demonstrated good efficacy in assessing the risk of OIH after laparoscopic one-stage appendectomy for pediatric appendiceal abscess.

To guide transfusion practice in critically ill children who often need plasma and platelet transfusions, the Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding (TAXI-CAB) developed Recommendations and Expert Consensus for Plasma and Platelet Transfusion Practice in Critically Ill Children. This guideline addresses 53 recommendations related to plasma and platelet transfusion in critically ill children with 8 kinds of diseases, laboratory testing, selection/treatment of plasma and platelet components, and research priorities. This paper introduces the specific methods and results of the recommendation formation of the guideline.

With the widespread use of antibiotics, drug-resistant bacterial infections have become a significant threat to human health. Finding new antibacterial strategies that can effectively control drug-resistant bacterial infections has become an urgent task. Unlike small molecule drugs that target bacterial proteins, antisense oligonucleotide (ASO) can target genes related to bacterial resistance, pathogenesis, growth, reproduction and biofilm formation. By regulating the expression of these genes, ASO can inhibit or kill bacteria, providing a novel approach for the development of antibacterial drugs. To overcome the challenge of delivering antisense oligonucleotide into bacterial cells, various drug delivery systems have been applied in this field, including cell-penetrating peptides, lipid nanoparticles and inorganic nanoparticles, which have injected new momentum into the development of antisense oligonucleotide in the antibacterial realm. This review summarizes the current development of small nucleic acid drugs, the antibacterial mechanisms, targets, sequences and delivery vectors of antisense oligonucleotide, providing a reference for the research and development of antisense oligonucleotide in the treatment of bacterial infections.

Objective: To explore the causal link of cumulative ecological risk and future orientation with health risk behaviors among higher vocational college students, so as to provide reference for reducing and preventing health risk behaviors among higher vocational college students. Methods: A longitudinal follow up study was conducted on 612 students using convenience sampling from 2 vocational colleges in Hunan Province. The Cumulative Ecological Risk Scale, Future Orientation Scale, and Health Risk Behavior Scale were used during three follow up visits (T1: September 2022, T2: June 2023, T3: March 2024), and a cross lagged panel model was constructed to examine the longitudinal causal relationship of cumulative ecological risk, future orientation and health risk behaviors. Analysis of longitudinal intermediary effect between variables by Bootstrap. Results: The cumulative ecological risk scores of T1, T2 and T3 among higher vocational college students were (2.94±1.44,2.99±1.63,3.02±1.54), future orientation scores (40.49±4.71,41.51±5.72,41.06±4.35) and health risk behavior scores (3.73±2.01,3.49±2.00,3.23±2.00). The results of repeated measures ANOVA showed that the future orientation score of T2 was higher than that of T1, and the main effect of measurement time was statistically significant ( F=5.09，P＜0.01,η 2=0.02). The health risk behavior score of T1 was higher than that of T2, and the health risk behavior score of T2 was higher than that of T3, and the main effect of measurement time was statistically significant ( F=10.12，P＜0.01,η 2=0.03).The cross lagged model showed good adaptability, with χ 2/df =7.20 ( P <0.01), relative fitting indicators GFI=0.98, CFI=0.99, TLI=0.96, IFI=0.99, NFI =0.99, and absolute fitting indicator RMSEA =0.06. Among them, the T1, T2 cumulative ecological risk showed negatively predictive effects on T2, T3 future orientation ( β =-0.24, -0.47 ), and T1, T2 cumulative ecological risk positively predicted T2, T3 health risk behavior ( β =0.20, 0.24), while T1, T2 future orientation negatively predicted T2, T3 health risk behavior ( β =-0.25, -0.18) ( P ＜0.01). Bootstrap test analysis found that T2 future orientation had a longitudinal mediating effect ( β=0.04, P ＜0.01) on the T1 cumulative ecological risk and T3 health risk behavior. Conclusions The accumulation of ecological risk among higher vocational college students can positively predict health risk behaviors, while future orientation can negatively predict healthrisk behaviors. Moreover, future orientation plays a longitudinal mediating role between accumulated ecological risks and health risk behaviors.

Numerous studies have shown that depression is main-ly associated with the abnormal expression of connexin 43(Cx43)in astrocytes(Astro)and its mediated dysfunction of gap junction(GJ).However,the molecular mechanism of post-translational modifications targeting Cx43 to regulate neuroin-flammation-associated depression is still unclear.Post-transla-tional modifications of Cx43 mainly include phosphorylation of specific amino acid sites by PKC,PKA,PKG,MAPK and PTK,and protein degradation of Cx43 through the K48/K63 polyubiq-uitylation and deubiquitination pathways,which ultimately lead to protein degradation through K48/K63 polyubiquitination and deubiquitination.These modifications are ultimately involved in the regulation of neuroinflammatory responses through the associ-ation of GJ function.In this paper,we systematically review the role of Cx43 post-translational modifications in neuroinflamma-tion,with the aim of further exploring the potential application of targeting these modifications to modulate the inflammatory re-sponse mechanism in improving depressive symptoms.

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.