Objective The study aimed to elucidate the population composition and seasonal distribution characteristics of mosquitoes in Laoshan District, Qingdao City, providing a scientific basis for the prevention and control of mosquito-borne infectious diseases. Methods Mosquito surveillance was conducted in Laoshan District in Qingdao City using light traps from April to November 2020-2022. Dominant mosquito species were identified using the Berger-Parker dominance index(I)and mosquito density was compared using the Kruskal-Wallis H test. The seasonal distribution characteristics of adult mosquitoes were analyzed using concentration and circular distribution method. Spearman rank correlation analysis was used to study the relationship between mosquito populations and meteorological factors with mean monthly temperature, mean monthly relative humidity, and mean monthly rainfall. Results The mean mosquito density for the trapping period was 9.771 females/(trap·night)in 2020,9.771 in 2021, and 9.427 in 2022. There was no statistically significant difference in mosquito density between different years(H = 0.095, P = 0.954). In total, 2 781 adult female mosquitoes comprising five species from four genera were captured over three years. Culex pipiens(I = 0.654), Aedes albopictus(I = 0.202), and Aedes aegypti(I = 0.118)were identified as dominant species. Seasonal fluctuations in the adult mosquitoes were unimodal, and primarily concentrated from June to September. The peak period of adult mosquito varied between years with statistical significance. (F = 3.838, P ＜ 0.05). Mosquito density was highly correlated with mean monthly temperature, mean monthly relative humidity and mean monthly precipitation(P＜ 0.05). Conclusions Cx. pipiens pallens, Ae. albopictus, and Ar. inamoratus are the dominant mosquito species in the Laoshan District of Qingdao City. The activity of adult mosquitoes is seasonal, and primarily concentrated in summer and autumn, during which the risk of mosquito-borne diseases such as dengue fever is increased.

Over the past three decades， China has made significant progress in the prevention and control of viral hepatitis， and the incidence rates of new-onset pediatric hepatitis B virus infections and acute viral hepatitis in the population have reduced to a relatively low level； however， there is still a heavy disease burden of chronic viral hepatitis in China， which severely affects the health status of the population. This study systematically summarizes the achievements of viral hepatitis prevention and control in China， analyzes existing problems and challenges， and proposes comprehensive prevention and control strategies and measures to eliminate viral hepatitis as a public health threat based on the national conditions of China， in order to provide a reference for related departments in China on how to achieve the action targets for eliminating viral hepatitis as a public health threat by 2030.

Aim To study the correlation between es-trogen metabolism function of intestinal flora and liver fibrosis disease phenotype and differential intestinal bacteria by fecal microbiota transplantation(FMT).Methods C57BL/6J male mice were divided into normal group(Control-M),liver fibrosis Model group(Model),FMT-1 group(normal mice fecal microbiota transplantation from liver fibrosis mice),and FMT-2 group(liver fibrosis mice fecal microbiota transplanta-tion from female mice).The model group was induced by high fat and high glucose combined with low dose of CCl4 for 16 weeks.In the FMT group,the bacteria were destroyed by mixed antibacterial solution and then the corresponding fecal microbiota solution was given.The model group was established in the FMT-2 group and the model group at the same time.Liver function(ALT,AST)was detected by biochemical methods;liver inflammation(IL-1α,IL-6)was detected by ELISA;liver pathology was detected by HE and Mas-son methods;the expressions of α-SMA,collagen Ⅰ,estrogen receptor ERα,ERβ and GPER were detected by Western blot;estrogen metabolic enzymes β-glucu-ronidase and β-glucosidase in intestinal flora were de-tected by double antibody sandwich assay;gut microbi-ota was detected by 16S rDNA method;the correlation between estrogen metabolic enzymes,estrogen receptors and disease phenotypes and disease-related differential bacteria was analyzed by Pearson correlation analysis.Results Liver function,inflammation and fibrosis in-dices were significantly higher in the model group than those in the control-M group and significantly lower in the FMT-2 group than in the model group;estrogen metabolic enzymes of the intestinal flora significantly increased in the model group compared to the control-M group and significantly decreased in the FMT-2 group compared to the model group;the model group showed a significant increase in ERβ and GPER and a significant decrease in ERα compared to the control-M group,while the FMT-2 group showed a significant de-crease in ERβ and GPER and a significant increase in ERα compared to the model group;the FMT-2 group increased the enterobacterial abundance and diversity reduced by modelling;estrogen metabolic enzymes,es-trogen receptor ERβ and GPER were all positively cor-related with the disease phenotype,while the opposite was true for ERα;estrogen metabolic enzymes were positively correlated with Allobaculum,Ruminococcus and Alistipes,and negatively correlated with Akkerman-sia,Lactobacillus and Prevotella.Conclusions Fecal microbiota transplantation in female mice can alleviate liver fibrosis in male mice,which is related to the im-provement of estrogen metabolism of intestinal flora.

Aim To predict the mechanism of action of ginsenoside Rg1(G-Rg1)paired with hirudin in the treatment of myocardial fibrosis in acute myocardial in-farction(AMI)based on the network pharmacology ap-proach,and to validate it by in vivo and in vitro experi-ments.Methods The corresponding targets of G-Rg1 and Hirudin were collected using SwissTargetPredic-tion,TargetNet,ETCM and ChEMBL databases,and the targets related to AMI and myocardial fibrosis were collected using GeneCards,OMIM and DisGeNET da-tabases.The drug-disease intersection targets were subjected to protein-protein interaction network(PPI)network analysis,gene ontology(GO)functional en-richment analysis and kyoto encyclopedia of genomes(KEGG)pathway enrichment analysis.Key targets and pathways were validated using an AMI mouse mod-el induced by ligation of the anterior descending branch of the left coronary artery in mice versus a hypoxia-in-duced injury model of human cardiac microvascular en-dothelial cells(HCMECs).Results G-Rg1 paired with hirudin had 229 drug targets,816 AMI and myo-cardial fibrosis disease targets,and 65 intersecting tar-gets.PPI analysis showed that tumor necrosis factor(TNF),interleukin-1[3(IL-1 β),transforming growth factor beta-1(TGF-β1),nuclear factor kappa-B(NF-κB),and interleukin-6(IL-6)might be the core tar-gets of G-Rg1 paired with Hirudin in the treatment of post-MI myocardial fibrosis;KEGG was enriched for a total of 141 pathways involving endocrine and metabo-lism,inflammation,and immunity,mainly TNF signa-ling pathway,PI3K/Akt signaling pathway and TGF-βsignaling pathway.In vivo experiments confirmed that G-Rg1 paired with hirudin attenuated myocardial fibro-sis after AMI in mice,and down-regulated the expres-sion of TNF-α,IL-1β,NF-κB,TGF-β1,and Smad2/3 proteins in myocardial tissues.In vitro experiments confirmed that G-Rg1 paired with Hirudin inhibited cellular NF-κB/TGF-β1 pathway,reduced hypoxia-in-duced cellular TNF-α and IL-1β expression,and su-perimposed NF-κB inhibitor significantly reduced IL-1 β expression and attenuated cellular inflammatory re-sponse.Conclusions G-Rg1 with Hirudin treats post-MI myocardial fibrosis by regulating TNF-α,IL-1 β and other targets and NF-KB/TGF-β1 pathway,reflecting its multi-pathway and multi-target action characteris-tics,and providing a pharmacological basis for the treatment of post-MI myocardial fibrosis with G-Rg1 with Hirudin.

Objective:To evaluate the effect of preoperative oral carbohydrate intake on postoperative nausea and vomiting (PONV) in elderly patients undergoing gynecological laparoscopic surgery.Methods:This study was a randomized controlled trial. One hundred elderly patients, aged≥65 yr, with a body mass index of 18-30 kg/m 2, with American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, who underwent gynecological laparoscopic surgery at the Baoding First Central Hospital from March 2023 to June 2024, were selected. Stratification was conducted by age (65-74 yr/≥75 yr) using an online randomization tool, and the patients were randomly divided into conventional fasting group (group C) and oral carbohydrate group (group P), with 50 cases in each group. Patients took oral carbohydrate drinks of 4 ml/kg at 2 h before operation, with total amount ≤400 ml in group P, while patients received conventional preoperative fasting protocols in group C. The occurrence and severity of PONV within 48 h postoperatively were observed. The visual analogue scale scores for hunger and thirst, State-Trait Anxiety Inventory scale scores, length of stay in the postanesthesia care unit, duration of hospital stay, time to first flatus, time to first ambulation, and patient′s satisfaction were recorded in the two groups. Results:Compared with group C, the incidence and severity of PONV were significantly decreased within 48 h after surgery, the visual analogue scale scores for hunger and thirst and State-Trait Anxiety Inventory scale scores were significantly decreased after entering the operating room, the length of stay in the postanesthesia care unit, time to first flatus and time to first ambulation were significantly shortened, and the patient′s satisfaction was significantly increased in group P ( P<0.05). Conclusions:Oral carbohydrate intake before operation can effectively reduce the occurrence and severity of PONV and improve the quality of postoperative recovery in elderly patients undergoing gynecological laparoscopic surgery.

Objective:To investigate the clinical demand for subcutaneous immunotherapy (SCIT) with pet allergens and explore the sensitization characteristics of patients undergoing pet SCIT.Methods:A cross-sectional retrospective analysis was conducted on patients diagnosed with pet allergies and treated with pet allergen SCIT in our outpatient clinic from January 2019 to December 2023. Patients were categorized into three groups based on the type of SCIT received: single-cat SCIT group, single-dog SCIT group, and combined cat-dog SCIT group.Results:A total of 931 patients were included, the age range was 5-65 years (median age of 30 years), with 283 male and 648 female. Among them, 67.7%( n=630) received single-cat SCIT, 10.9% ( n=102)received single-dog SCIT, and 21.4% ( n=199) received combined cat-dog SCIT. The number of patients receiving pet allergen SCIT increased annually. Patients in the single-dog SCIT group were significantly older than those in the other two groups ( H=41.329, P<0.001) and had a lower prevalence of allergic rhinitis (91.2% vs. 96.5% and 98.5%; χ2=10.400, P=0.006). In the combined cat-dog SCIT group, the allergy rate to mold allergens was significantly higher than in the single-cat SCIT group (12.6% vs. 4.9%, χ2=13.965, P=0.001). In the single-dog SCIT group, the allergy rate to spring pollen allergens was significantly higher than in the other two groups ( χ2=15.731, P<0.001), and the allergy rate to autumn pollen allergens was significantly higher than in the single-cat SCIT group ( χ2=13.459, P=0.001). There was no significant difference in the dust mite allergy rate among the three groups( χ2=4.117, P=0.129). In the single-dog SCIT group, patients with asthma were significantly older than those without asthma (41.2 vs. 35.2 years old, t=-2.073, P=0.041). In both the single-cat and single-dog SCIT groups, the proportion of allergic rhinitis in the asthma group(91.2%,78.3%) was significantly lower than that in the non-asthma group(97.4%,94.9%) ( χ2=8.863,6.158; P=0.008,0.026). In the single-cat SCIT group, non-asthmatic patients were significantly more likely to receive SCIT combined with spring pollen allergens compared to asthmatic patients (23.9% vs. 11.0%, χ2=7.586, P=0.006). Conclusions:The demand for pet allergen SCIT has steadily increased over the years, with a predominance of female patients. Sensitization profiles varied among patients receiving SCIT for different pet allergens. This study comprehensively elucidates the clinical demand and sensitization characteristics of patients undergoing pet allergen SCIT, providing valuable reference data for clinical diagnosis and treatment.

Objective:To investigate the clinical characteristics, prognosis, and the impact of different secondary prevention strategies on stroke recurrence in patients with carotid web (CaW)-associated acute anterior circulation large vessel occlusion (LVO).Methods:A retrospective analysis was conducted on 401 patients with acute anterior circulation LVO who underwent mechanical thrombectomy at 2 advanced stroke centers, Xingtai Central Hospital and Xingtai People′s Hospital, from January 2018 to June 2024. CaW was identified using digital subtraction angiography (DSA) and other imaging modalities. Based on the presence of CaW, patients were divided into CaW group and non-CaW group. Differences between the 2 groups in baseline characteristics, clinical features, and clinical outcomes were compared, and long-term follow-up was conducted for the CaW group.Results:Among the 401 patients, the CaW group consisted of 16 patients (4.0%), while the non-CaW group included 385 patients (96.0%). Compared to the non-CaW group, patients in the CaW group were younger [53 (46, 58) years vs 65 (56, 76) years, Z=-3.811, P<0.001], had a higher proportion of M1 segment middle cerebral artery occlusion [13/16 vs 54.0% (208/385), χ2=4.602, P=0.032] and a lower proportion of internal carotid artery terminus occlusion [1/16 vs 40.0% (154/385), χ2=6.024, P=0.014]; the 90-day modified Rankin Scale (mRS) score was significantly lower in the CaW group [1.00 (0, 1.75) vs 3.00 (1.00, 4.00), Z=14.210, P<0.001], and the proportion of patients with favorable functional independence (mRS score 0-2) was significantly higher [15/16 vs 45.7% (176/385), χ2=12.350, P<0.001] in the CaW group; the incidence of pneumonia in the CaW group was significantly lower [2/16 vs 42.6% (164/385), χ2=4.562, P=0.033]. Among the 16 CaW patients, 10 received antiplatelet therapy, 4 underwent carotid artery stenting (CAS), and 2 underwent carotid endarterectomy (CEA). During a median follow-up of 29 months, patients who underwent CAS and CEA had no stroke recurrence, while 2 patients who received antiplatelet therapy had stroke recurrence and subsequently underwent CAS and CEA. Conclusions:The proportion of CaW among patients with acute anterior circulation LVO was 4.0%. The patients with CaW were younger and had a higher proportion of M1 segment middle cerebral artery occlusion. Following mechanical thrombectomy, patients in the CaW group had good functional outcomes. Simple drug therapy may be insufficient to prevent stroke recurrence in CaW patients, and CAS and CEA may be effective therapeutic options.

Objective:To analyze the incidence, clinical characteristics, and prognosis of basilar artery occlusion (BAO) patients presenting with paroxysmal sympathetic hyperactivity (PSH) as an initial symptom.Methods:A retrospective analysis was conducted on BAO patients with PSH manifestations who received endovascular treatment at Xingtai Central Hospital between January 2018 and August 2024. Demographic characteristics, clinical data, imaging findings, and follow-up information were collected.Results:A total of 136 BAO patients were included, of whom 22 cases (16.2%) were diagnosed with PSH. The age of the patients was (56.81±9.92) years, with males accounting for 86.4%(19/22). On admission, the Glasgow Coma Scale score was 4(3, 5), and the National Institutes of Health Stroke Scale score was 30(25, 35). The successful reperfusion (modified Thrombolysis In Cerebral Infarction 2b-3) rate was 90.9%(20/22). In-hospital mortality was 50.0%(11/22), symptomatic hemorrhagic transformation occurred in 4.5% (1/22), and any type of intracranial hemorrhage occurred in 9.1%(2/22). Clinical features of PSH included tachycardia, tachypnea, hypertension, fever, diaphoresis, and increased muscle tone. Imaging analysis showed a high proportion of cerebellar (100.0%, 22/22) and midbrain (72.7%, 16/22) involvement. The 90-day follow-up showed that 72.7%(16/22) of the patients had poor functional outcomes (modified Rankin Scale score of 4-6), and the 90-day mortality rate was 59.1%(13/22).Conclusions:Among patients with BAO undergoing endovascular therapy, the incidence of PSH as the initial manifestation was 16.2%(22/136). These patients were predominantly middle-aged men and commonly presented with tachycardia, tachypnea, hypertension, fever, diaphoresis, and increased muscle tone. Imaging findings mainly involved the cerebellum and midbrain. Despite a relatively high rate of recanalization, patients with PSH exhibited a higher risk of mortality and poor functional outcomes.

Objective:To establish a model based on the characteristics of breast cancer ultrasound images through deep learning methods to predict the risk of axillary lymph node metastasis（ALNM）in patients with breast cancer（maximum diameter ≤2.5 cm）before surgery.Methods:A total of 419 patients（3 433 breast tumor ultrasound images）with breast cancer（maximum diameter ≤2.5 cm）who underwent axillary lymph node dissection at Beijing Tiantan Hospital，Capital Medical University from January 2019 to December 2024 were retrospectively included. According to the pathological results of axillary lymph nodes，they were divided into 220 cases in the ALNM occurrence group（positive group）and 199 cases in the non-ALNM occurrence group（negative group）. The breast cancer ultrasound images of the two groups of cases were randomly classified into the training set（2 404 images），the validation set（687 images）and the test set（342 images）according to a ratio of 7∶2∶1. YOLOv8 was used as the basic model of You Only Look Once（YOLO）and optimized. The optimized model was applied to locate and capture the potential ultrasound features of breast cancer cases in the training set. A prediction model was constructed based on the captured ultrasound features. The model was adjusted and optimized through the validation set，and then matched with the case images in the test set. The confusion classification matrix graph and the curve graph for measuring the model performance were used to evaluate the model prediction performance and interpret the model，and the efficacy of this model in identifying breast cancer patients at risk of ALNM was analyzed.Results:There were statistically significant differences between the positive and negative groups in terms of the pathological maximum diameter of breast tumors，pathological T staging，the differentiation degree，the presence of distant metastasis，the maximum diameter measured by ultrasound，the quadrant of breast tumor occurrence，the Breast Imaging - Reporting and Data System（BI-RADS）classification of breast tumors，and the presence of abnormal ultrasound features of lymph node（all P<0.05）. The established deep learning model could automatically perform bounding box localization for the breast cancer of patients.The breast tumors in the positive group had potential ultrasound features that could be captured by the model compared with those in the negative group. The mean average precision（mAP）50 was 0.883，mAP 50-95 was 0.636，PR-AUC was 0.884 5，strict PR-AUC was 0.636 4，the sensitivity was 90.5%，and the specificity was 91.2%，and it had a good predictive efficacy. Conclusions:This prediction model based on the ultrasound characteristics of breast cancer through deep learning can effectively predict breast cancer（maximum diameter ≤ 2.5 cm）with the risk of ALNM，providing an effective basis for the clinical management of axillary lymph nodes in breast cancer patients.

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.