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 provide a comprehensive review of the modeling method of the empty bottle stimulation(EBS)anxiety model,including commonly used experimental animal strains and genders,animal grouping,modeling procedures,modeling duration,primary behavioral evaluation method,and the underlying pathological mechanisms.This aims to offer a reference for the application of the EBS anxiety model in anxiety disorder research.Methods Searches were conducted in databases such as CNKI and PubMed to collect all literature related to the EBS anxiety model,which were then systematically summarized and organized.Results(1)Male adult SD or Wistar rats are predominantly used as experimental animals;(2)The optimal modeling period is 2 weeks;(3)Behavioral evaluations primarily utilize the open field test,elevated plus maze test,and light-dark box test;(4)Pathological mechanisms involve abnormal neurotransmitter metabolism in brain regions such as the hippocampus,prefrontal cortex,and amygdala.Conclusions The EBS anxiety model exhibits an anxiety-like behavioral phenotype and associated neurobiological mechanisms,validating its utility as an animal model for the study of anxiety disorders.However,further exploration and refinement are required for its standardized construction protocol and the understanding of its mechanistic underpinnings.

Digital storytelling,as an emerging form of communication and therapy,is subtly transforming the landscape of clinical care.This paper systematically introduces the historical evolution,fundamental methods,and clinical applications of digital storytelling,while exploring and analyzing its effects on various patient groups.A comprehensive evaluation index system has been developed,with the aim of providing references and evidence for the broader application and development of digital sto-rytelling in clinical care,along with recommendations for improvement to address existing limitations.

Objective To provide a comprehensive review of the modeling method of the empty bottle stimulation(EBS)anxiety model,including commonly used experimental animal strains and genders,animal grouping,modeling procedures,modeling duration,primary behavioral evaluation method,and the underlying pathological mechanisms.This aims to offer a reference for the application of the EBS anxiety model in anxiety disorder research.Methods Searches were conducted in databases such as CNKI and PubMed to collect all literature related to the EBS anxiety model,which were then systematically summarized and organized.Results(1)Male adult SD or Wistar rats are predominantly used as experimental animals;(2)The optimal modeling period is 2 weeks;(3)Behavioral evaluations primarily utilize the open field test,elevated plus maze test,and light-dark box test;(4)Pathological mechanisms involve abnormal neurotransmitter metabolism in brain regions such as the hippocampus,prefrontal cortex,and amygdala.Conclusions The EBS anxiety model exhibits an anxiety-like behavioral phenotype and associated neurobiological mechanisms,validating its utility as an animal model for the study of anxiety disorders.However,further exploration and refinement are required for its standardized construction protocol and the understanding of its mechanistic underpinnings.

Objective:To construct a multidisciplinary collaborative intelligent prevention and treatment system for orthopedic thrombophilia based on advanced intelligent analysis technology and to evaluate its application effectiveness in the management of orthopedic thrombophilia.Methods:Established a clinical multidisciplinary medical team guided by early warning management and human-computer interaction theory, and builded a multidisciplinary collaborative intelligent prevention and treatment system for orthopedic thrombophilia based on intelligent analysis technology.Adopting a prospective pre-and post control study method, 674 orthopedic inpatients at the Second Affiliated Hospital of Nanchang University from February 2021 to October 2022 were selected as study participants by convenient sampling method and divided into a control group (308 cases) and an observation group (366 cases) according to their admission periods. The control group underwent conventional management methods for thrombophilia. In contrast, the observation group utilized a multidisciplinary collaborative intelligent prevention and treatment system for orthopedic thrombophilia for intelligent management methods. The two groups were compared regarding risk assessment rates, assessment accuracy, assessment efficiency, dynamic assessment completion rate, knowledge awareness rates, implementation rates of multidisciplinary collaborative preventive measures, and thrombophilia incidence rates.Results:The multidisciplinary collaborative intelligent prevention and treatment system for orthopedic thrombophilia mainly included four personnel ports (doctor end, nurse end, patient or caregiver end, medical quality control end) and eight modules (patient intelligent scoring, risk grading warning, dynamic evaluation of prevention contraindications, prevention measure decision-making, health education, inpatient data monitoring, department indicator statistics, medical management). Both groups of patients completed the study. There were 238 males and 70 females in the control group, aged (42.83 ± 8.69) years old. There were 278 males and 88 females in the observation group, aged (42.35 ± 8.13) years old. The risk assessment rate, assessment accuracy rate, and dynamic assessment completion rate of the observation group for thrombophilia were 100.00% (366/366), 98.90% (362/366), and 100.00% (366/366), respectively, all higher than the control group's 94.15% (290/308), 90.58% (279/308), and 91.55% (282/308), and the differences were statistically significant ( χ2=21.99, 24.88, 32.16, all P<0.01). The knowledge awareness rate of preventing thrombophilia among high-risk patients in the observation group was 95.90% (211/220), the implementation rates of basic prevention, physical prevention, drug prevention, and combined prevention in the multidisciplinary collaborative prevention measures were 87.37% (173/198), 97.72% (215/220), 39.09% (86/220), 46.37% (102/220), and 27.73% (61/220), respectively, all higher than the control group's 85.86% (170/198), 24.74% (49/198), 30.81% (61/198), and 12.12% (24/198), and the differences were statistically significant ( χ2 values were 9.81-20.19, all P<0.05). The risk assessment time for the observation group was (3.95 ± 1.03) minutes, and the incidence of thrombophilia was 1.91% (7/366), both lower than the control group's (9.56 ± 1.65) minutes and 7.47% (23/308), with statistically significant differences ( t=53.78, χ2=6.33, both P<0.05). Conclusions:The application of the multidisciplinary collaborative intelligent prevention and treatment system for orthopedic thrombophilia has improved the implementation rate of prevention and treatment interventions by medical staff, increased job satisfaction, and also enhanced the awareness rate of prevention knowledge among patients, thereby improving the management status of thrombophilia in orthopedic inpatients.

Objective This study aimed to investigate the effects of sleep interruption(SI)cycles on emotional behavior in ICR mice,and to establish a mouse model of comorbid anxiety and depression induced by SI.Methods Seventy-two male ICR mice(4～5 weeks old)were divided randomly into a blank group and a model group.Mice in the model group were subjected to SI stress modeling for 1,2,and 3 weeks,respectively.After modeling,emotional behaviors were evaluated using open-field,elevated plus maze,light-dark box,marble-burying,and forced-swimming tests.Serum corticosterone levels were detected by enzyme-linked immunosorbent assay.Results Mice in the model group buried significantly more marbles after 1 week of SI stress,compared with the blank group(P＜0.05).After 2 weeks of stress,mice in the model group also showed a significant decrease in the number of crossings in the light-dark box(P＜0.05)and a significant increase in the number of marbles buried(P＜0.01)compared with the control group.After 3 weeks of stress,mice in the model group showed a significant increase in the number of marbles buried(P＜0.05),a significant decrease in the number of crossings in the light-dark box(P＜0.05),and a significant increase in immobility time in the forced-swim test(P＜0.01).Conclusions ICR mice exhibited significant anxiety-related behaviors after 2 weeks of SI modeling and significant anxiety-and depressive-related behavioral changes after 3 weeks.Three weeks of SI stress can be used to establish a model of comorbid anxiety and depression.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective Text mining of content characteristics of original science popularization articles on the WeChat public account"PSM Medicine Shield Public Welfare"based on LDA model and Linear Regression.Methods Through web crawling techniques,we collected 4,292 original pharmaceutical science popularization articles and associated comment data from the"PSM Drug Shield Public Welfare"WeChat Official Account to analyze the content distribution patterns and characteristics of pharmaceutical science communication.Employing Latent Dirichlet Allocation(LDA)modeling,we systematically categorized and mined article themes to identify public demand for science literacy and explore strategic directions for precision-targeted phar-maceutical science dissemination.Results The analysis of 4 292 original science popularization articles from the"PSM Medi-cine Shield Public Welfare"account showed an average readership of 1 815.73±4 385.31.Articles in headline positions,pub-lished on weekends,or using exclamatory titles achieved higher readership.Most articles(1 000-2 000 words)used direct-open-ing title strategies.Traditional Chinese medicines had the highest readership among drug categories.Top content categories in-cluded drug monographs,medicinal diets,disease medication guidance,myth clarification,and disease science.Linear regres-sion analysis identified headline placement,word count,title phrasing,title strategy,target audience,drug category,and content type as potential factors influencing readership.The LDA model with 9 s revealed key themes:management of drug adverse reac-tions,dermatological medication dosing,anti-infection effects of medicinal diets,and pediatric vaccination/health monitoring.Conclusion The"PSM Medicine Shield Public Welfare"WeChat account primarily disseminates pharmaceutical science content focusing on adverse drug reactions,pediatric medication safety,TCM-based health preservation,disease treatment protocols,symptom recognition guidelines,dosage optimization,and toxicity management.Pharmaceutical professionals should prioritize content length control,evidence-based title strategies,and thematic alignment with public health priorities during science commu-nication content creation.

Objective:To investigate the impact of the number of cesarean deliveries on adverse maternal and neonatal outcomes.Methods:A retrospective analysis was conducted on 11 904 singleton pregnant women who underwent cesarean delivery at the Third Affiliated Hospital of Guangzhou Medical University from January 1st, 2019 to December 31st, 2023. The women were grouped according to the number of cesarean deliveries: those undergoing their first cesarean delivery (1CD group, 7 231 cases), those undergoing their second cesarean delivery (2CD group, 3 749 cases), those undergoing their third cesarean delivery (3CD group, 841 cases), and those undergoing their fourth or more cesarean deliveries (4CD group, 83 cases). Differences in clinical characteristics, related surgical procedures, and adverse maternal and neonatal outcomes among the groups were compared. Binary logistic regression analysis was used to assess the impact of the number of cesarean deliveries on related surgical procedures and adverse maternal and neonatal outcomes.Results:(1) During the 5-year period, the total number of women undergoing cesarean delivery in our hospital showed a slight downward trend, while the proportion of women undergoing three or more cesarean deliveries increased. (2) Compared with women undergoing their first cesarean delivery, women in each repeat cesarean delivery group were older, had higher proportions of advanced maternal age and pre-pregnancy body mass index, and had more pregnancies, deliveries, and induced abortions; the incidence of placenta previa, placental implantation, antepartum hemorrhage, gestational hyperglycemia, and failed trial of labor requiring conversion to surgery was higher, while the incidence of premature rupture of membranes was lower; the proportions of ureteral stent placement, adhesiolysis of the pelvic and abdominal cavities, uterine rupture, uterine reconstruction, uterine artery ligation, hysterectomy, postpartum hemorrhage, and postoperative intestinal obstruction were higher, and the amount of postpartum hemorrhage was greater; the gestational age at delivery of neonates was earlier, but the rates of preterm birth at 28-31 +6 and 32-33 +6 weeks of gestation were lower; the differences were statistically significant ( P<0.05) for all comparisons. (3) The number of cesarean deliveries was not an independent risk factor for the dose-dependent occurrence of placenta previa (a OR=0.99, 95% CI: 0.98-1.01; P=0.261). In women without placenta previa, the number of cesarean deliveries was not a risk factor for placental implantation (a OR=1.12, 95% CI: 0.90-1.39; P=0.320). However, in women with placenta previa, the number of cesarean deliveries was a risk factor for placental implantation (a OR=4.01, 95% CI: 3.08-5.22; P<0.001). In the overall population, the number of cesarean deliveries was a risk factor for ureteral stent placement, adhesiolysis of the pelvic and abdominal cavities, bladder rupture repair, uterine rupture, uterine reconstruction, uterine artery ligation, hysterectomy, postpartum hemorrhage, and preterm birth (all P<0.05). However, the number of cesarean deliveries was not a risk factor for postoperative intestinal obstruction, admission to the intensive care unit, neonatal asphyxia, admission to the neonatal intensive care unit, or neonatal death (all P<0.05). Conclusions:The number of cesarean deliveries could lead to adverse maternal and neonatal outcomes, but the relationship is not simply dose-dependent. It is speculated that the occurrence of severe adverse maternal and neonatal outcomes is more closely related to maternal complications and comorbidities, as well as whether multidisciplinary comprehensive management was received.

Objective To explore the factors influencing blood drug concentrations of first-line anti-tuberculosis drugs in fixed-dose combinations by analyzing therapeutic drug monitoring data from tuberculosis patients receiving these regimens.Methods This retrospective study enrolled 224 patients who received treatment at Guangzhou Chest Hospital between January 2020 and December 2024.All participants underwent standardized therapy during the intensive phase,with therapeutic drug monitoring of first-line anti-tuberculosis drugs(ANTDs),including isoniazid(INH)and rifampicin(RFP).Data collection was completed in January 2025,at which time clinical records and measured INH and RFP plasma concentrations were updated.Data analysis was conducted from January to February 2025.Eight baseline variables—gender,age,hypoproteinemia(serum albumin<35 g/L),glomerular filtration rate(GFR),and others—were collected.Univariate chi-square tests and multivariate logistic regression analyses were performed to identify independent risk factors associated with subtherapeutic INH and RFP plasma concentrations.Results Among the study participants,71.43%(160/224)exhibited blood drug concentrations below the reference range for INH,compared to 41.07%(92/224)for RFP.The mean blood concentrations(mg/L,±SD)were 2.532±1.371 for INH and 9.428±4.317 for RFP,respectively.One-way analysis indicated significant associations between male gender,positive etiological test results,and subtherapeutic RFP concentrations(P<0.05),suggesting statistically significant differences.Multivariate regression analysis further revealed that male gender(OR=1.992,95%CI:1.094～3.628)and positive etiological tests(OR=1.929,95%CI:1.058～3.517)were independent risk factors for low RFP levels.Conclusions This study demonstrates that therapeutic drug monitoring(TDM)frequently identifies subtherapeutic RFP concentrations in tuberculosis patients undergoing treatment.Multivariate analysis reveals that male sex and positive pathogen test results are independent risk factors associated with low RFP plasma levels.Consequently,clinicians should exercise heightened vigilance in patients exhibiting these characteristics,promptly implementing TDM to guide individualized dose adjustments.Such an approach is crucial for optimizing treatment efficacy and minimizing the risk of drug resistance development.