Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.

Objective:To establish a method for the determination of 2-amino-5-chloro-N, 3-dimethylbenzamide in blood by ultra-performance liquid chromatography-quadrupole-orbitrap high resolution mass spectrometry (UPLC-Q-Orbitrap HRMS) .Methods:In October 2022, 200 μl of blood samples were taken and 800 μl of acetonitrile was added. The samples were centrifuged at 3500 r/min (with a centrifugation radius of 6.6 cm) for 15 minutes. The supernatant was detected in the positive ion target tandem mass spectrometry (Target MS 2) mode and quantified by the external standard method. Methodological validation was also carried out for the established method. Results:The working curve of 2-amino-5-chloro-N, 3-dimethylbenzamide showed good linearity in the concentration range of 2.07-165.44 μg/L, with a correlation coefficient ( r) of 0.9994. The intra-day and inter-day relative standard deviations ( RSD) for the detection of 2-amino-5-chloro-N, 3-dimethylbenzamide were 2.6%-3.0% and 3.1%-3.5%, respectively. Analytical accuracy of 2-amino-5-chloro-N, 3-dimethylbenzamide quantification ranged from 101.0 % to 108.4 %, and the limit of detection and limit of quantification were 0.11 μg/L and 0.36 μg/L, respectively. The blood samples were able to be stored at -20 ℃ for at least 7 days. Conclusion:The UPLC-Q-Orbitrap HRMS determination method is sensitive, efficient and accurate, and can be used for the determination of 2-amino-5-chloro-N, 3-dimethylbenzamide in blood.

Objective:To analysis the influenced factors of readmission in hospital among patients with mood disorder,construct predictive models and compare the predictive performance of the models.Methods:The electron-ic medical record data of patients with mood disorder admitted to Beijing Anding Hospital from January 2010 to De-cember 2018 were retrospectively collected.Utilizing stepwise logistic regression to analyze the related factors of re-admission in patients with mood disorder.Logistic regression,support vector machine,random forest,extreme gradi-ent boosting(XGBoost)algorithms and convolutional neural networks(CNN)were used to construct a readmission prediction model and compare the predictive performances of the different models by using the accuracy,precision,recall,et.al.Results:A total of 6 234 patients with mood disorder were enrolled,24.9％(n=1 549)patients were readmitted after discharge.The stepwise logistic regression results revealed that readmissions were more likely to occur in patients with mood disorder who were female,had comorbidities,had a treatment outcome of cure,were treated with MECT and were on second-generation antipsychotics(OR=1.26,1.68,1.26,1.35,1.18).The CNN model demonstrated the highest accuracy,precision,and F1 scores,all at 0.87,with a recall of 0.86.The random forest achieved a recall of 0.86 and an AUC of 0.95.Conclusion:Readmission of patients with mood disorder is influenced by a multitude of factors.The convolutional neural networks and random forest models outperform other models in prediction.

Objective To explore the disinfection effect of periodic hypochlorous acid infusion on water supply pipelines.Methods Water specimens from 6 water outlets of central sterile supply department were collected at baseline for microbial culture.After introducing a slightly acidic hypochlorous acid water generator,water speci-mens were collected every 10 days.Continuous disinfection with hypochlorous acid was carried out on the 1st-3rd day,and discontinued on the 4th-10th day.Water specimens of 6 water outlets were collected on the 1st,4th,7th,and 10th day of each cycle,in total 3 cycles.Microbial culture and metagenomic next-generation sequencing(mNGS)analysis were conducted simultaneously on all water specimens from the outlets of the endoscope cleaning tank.Results Before disinfection of the pipeline,a total of 18 bottles of water specimens were collected.Bacterial count of water specimens from 10 bottles(55.56％)was between 102 and 104 CFU/mL,mainly Sphingomonas ad-hesins and Bacillus cereus.After disinfection,only 2 out of 72 water specimens(2.78％)exceeded the bacterial lim-it.The mNGS results showed that three most dominant bacterial genera in the pre-disinfection water specimens were Sphingomonas,Methylobacterium,and Ralstonia,with stringent mapped reads number(SMRN)ranging from 10 000 to 100 000;while the most dominant bacterial genera in post-disinfection water specimens were Lacto-baci-llus,Ralstonia,Acinetobacter,and Bradyrhizobium.PCoA analysis showed that there was a statistically sig-nificant difference in β-diversity of water specimens before and after disinfection(P＜0.05).Conclusion Periodic hypochlorous acid infusion disinfection can effectively remove bacterial biofilms in water pipelines,but there is a risk of bacterial biofilm recovery during disinfection suspension.In the future,monitoring and management of medical water should be strengthened.

Objective:To analyze the intercomparision result of personal dose monitoring and gross alpha/beta detection capability between the disease control and prevention institutions at provincial, municpal and county levels during 2022-2024, in order to provide a reference for radiation detection capability and policy making of these institutions in China.Methods:Data on personal dose monitoring and gross alpha/beta detection, obtanied from the 2022-2024 radiation detection capability intercomparison between the disease control and prevention institutions at different levels, were recorded. Both the qualification rates (including excellence) and excellence rates of all the institutions at all evels from 2022 to 2024 were analyzed using SPSS 22.0.Results:From 2022 to 2024, the number of participating institutions at all levels showed an overall upward trend, increasing from 262 to 430, with particularly notable growth at the municipal level. In the 2024 gross α/β detection capability intercomparison, the non-qualification rate in municipal-level institutions was significantly higher than in county-level institutions ( χ2=10.53, P < 0.05). The qualification rate (including excellence) of the municipal-level gross alpha/beta detection in 2022 and 2024 were lower than in 2023( χ2=29.93, P < 0.01). Among all regions, the 2024 personal dose monitoring intercomparison result showed that the qualification rate (including excellence) in East China was higher than in Southwest and Northwest China ( χ2=15.62, P <0.01). East China also outperformed Northwest China ( χ2=16.21, P <0.01). In the 2022 gross alpha/beta detection capability intercomparison, the qualification rate (including excellent performance) in East China and South China was higher than in Northwest China ( χ2=23.76, 11.22, P<0.01). Overall, East China showed relatively higher qualification rate in intercomparison result of both personal dose monitoring and radiation detection (including excellence), while Northwest China showed lower qualification rates (including excellence). Conclusions:Although the radiation detection capability of disease control and prevention institutions at all levels has improved in recent years, there are still insufficience of detection capabilities at some municipal- and county-level laboratories and even unbalance between different regionas. Policy support should prioritize underdeveloped areas, such as municipal- and county-level institutions and the Northwest, and enhance the technical proficiency and quality management of laboratory personnel.

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.

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 analyze the epidemic trend and characteristics of notifiable infectious diseases in Xindu District of Chengdu,and to explore the changes of disease spectrum,so as to provide scientific basis for formulating prevention and control strategies.Methods The epidemic data of notifiable infectious diseases in Xindu District of Chengdu from 2008 to 2022 were collected and analyzed by descriptive epidemiological method.Results From 2008 to 2022,a total of 66 302 cases of 28 kinds of notifiable infectious diseases were reported in Xindu District of Chengdu,with an average annual reported incidence of 516.94/100 000.A total of 266 deaths were reported,with an average annual mortality rate of 2.07/100 000 and a case fatality rate of 0.40% .No Class A infectious diseases were reported,and Class B infectious diseases had no obvious seasonality.Class C infectious diseases had two incidence peaks from June to August and from October to December.The sex ratio of male to female was 1.41∶1,and the age of onset was mostly 0-4 years old.The reported cases were mainly scattered children,preschool children,students,farmers,housework and unemployed people.According to the main mode of transmission,the annual average reported incidence rate from high to low was intestinal infectious diseases,respiratory infectious diseases,blood and sexually transmitted infectious diseases,insect-borne and natural focal infectious diseases,and other infectious diseases.The mode of transmission gradually transitioned from intestinal infectious diseases to respiratory infectious diseases.From 2020 to 2022,except for COVID-19 and influenza cases,the reported incidence of infectious diseases in other transmission routes decreased.The reported diseases were mainly concentrated in tuberculosis,hepatitis B,syphilis,mumps,hand-foot-mouth disease,influenza and other infectious diarrhea,and the annual reported incidence order changed slightly.Conclusion From 2008 to 2022,the reported incidence of Class B infectious diseases in Xindu District of Chengdu showed a steady decline,while the reported incidence of Class C infectious diseases showed a fluctuating upward trend.The prevention and control measures of the new coronavirus epidemic are conducive to reducing the incidence of notifiable infectious diseases.It is necessary to focus on the prevention and control of high-risk infectious diseases such as hand-foot-mouth disease,influenza,other infectious diarrhea,tuberculosis,hepatitis B,and acquired immune deficiency syndrome,with highly reported mortality.Targeted health interventions should be carried out for key populations,key seasons,and key areas.At the same time,the monitoring of new and rare infectious diseases should be strengthened.

To achieve rapid and visual detection of Plasmodium vivax,a detection method based on recombinase polymerase amplification(RPA)technology and lateral flow dipstick(LFD)was established and evaluated.Targeting the conserved sequence of the P.vivax 18S rRNA gene(GenBank:DQ660817.1)as the target sequence,primers and probes were designed with Primer Premier 5,and the P.vivax recombinant plasmid(pUCPv)was constructed as the standard.A sensitive and specific RPA-LFD-based rapid visual detection method for P.vivax nucleic acids was established.The plasmid standard was serially diluted 10-fold to concentrations of 1×103,1×102,1×101,1×10?,and 1×10?1 copies/μL for sensitivity testing.To evaluate specificity,whole blood DNA samples from patients infected with Plasmodium falciparum,Plasmodium malariae,Plasmodium ovale,or Leishmania donovani,as well as healthy participants,were tested by RPA-LFD.Additionally,The assay′s accuracy was evaluated by testing whole blood DNA samples from 24 confirmed P.vivax-infected patients.This study successfully established a sensitive,specific,and rapid visual RPA-LFD method for detecting P.vivax nucleic acids.The assay can complete P.vivax detection within 20 minutes under isothermal conditions at 39 ℃,achieving a sensitivity of 1 copy/μL.There is no significant cross reaction with parasites such as other Plasmodium species and L.donovani,and the specificity is 100%.All 24 DNA samples from confirmed P.vivax patients were detected,showing a 100%detection rate.The developed RPA-LFD assay exhibits excellent sensitivity and specificity,requires only simple heating equipment,and is user-friendly.This rapid visual detection method is particularly suitable for P.vivax screening in low-resource settings.