Objective: To evaluate the effectiveness for the construction of the "mosquito-free village" in Jinzishan Village, Fuling District, Chongqing Municipality, so as to provide references for improving mosquito control practices in hilly and mountainous rural areas. Methods: The "mosquito-free village" initiative in Fuling District was launched in April 2023. Mosquito density monitoring was conducted annually from April to October. Larval mosquito density was monitored using the path method and scoop-catch method, and adult mosquito density was monitored using human-baited landing catch. One hundred and fifty-two villagers were randomly conducted before the "mosquito-free village" construction (April 2023) and one hundred and sixty-seven villagers were randomly conducted after the construction (November 2024). Knowledge awareness rate and correct behavioral practices regarding mosquito control among villagers were assessed. The satisfaction among villagers were evaluated in November 2024. The effectiveness of the initiative was evaluated based on mosquito density data, health education outcomes from 2023 to 2024, and satisfaction. Results: The average larval mosquitoes path index in Jinshanzi Village decreased from 1.50 spots/km in 2023 to 0.07 spots/km in 2024 (P<0.05). The average sampling spoon index of larval mosquitoes decreased from 3.43% in 2023 to 0 in 2024. The average landing rate index of adult mosquitoes decreased from 3.90 mosquitoes/(person·time) in 2023 to 0.38 mosquitoes/(person·time) in 2024 (P<0.05). The awareness rate of mosquito control knowledge and the formation rate of correct behaviors among villagers increased from 59.87% and 57.24% in 2023 to 92.22% and 90.42% in 2024, respectively (both P<0.05). In 2024, the satisfaction of villagers was 92.81%. Conclusion The mosquito density, health education effectiveness, and satisfaction of villagers in Jinzishan Village have all met the evaluation criteria for a "mosquito-free village", providing a replicable model for promotion in hilly and mountainous rural areas.

As a rapidly developing frontier discipline, structural biology has penetrated into every field of life science research. The course of “Structural Biology” plays an important role in expanding the knowledge system of undergraduate students and promoting students’ scientific spirit and innovation. For the high-quality training of highly skilled talents, we aimed to promote the original innovation of students, the ability of thinking, and the ability of engineering practice. The trinity education concept, including shape of the value, passing on knowledge, and ability cultivation, was applied. During the reform, we explored a step-by-step course content and searched for factors involved in ideological and political education. Based on the problem-based learning (PBL) method, a hybrid teaching model was designed to cultivate the problem-thinking and problem-solving skills of students. Meanwhile, a number of evaluation systems for students and teachers were established, which may be generally adopted for the course of “Structural Biology”. The survey data suggested that the exploration has a good effect on teaching and training and is conducive to the cultivation of research-oriented, comprehensive, innovative talents under the background of “New Engineering”.

Objective To explore the application value of ultrasonic measurement of optic nerve sheath diameter(ONSD)and cerebral blood flow parameters in intracranial hypertension caused by AIDS cryptococ-cal meningitis.Methods A total of 27 patients with cryptococcal meningitis diagnosed by Chongqing Public Health Medical Center from February to July,2022 were included.All patients were examined with ultrasound measurement of ONSD and ultrasound measurement of cerebral blood flow of intracranial middle cerebral ar-tery(MCA),including peak systolic velocity(PSV),end diastolic velocity(EDV),peak systolic velocity/end diastolic velocity(S/D)and resistance index(RI),and then lumbar puncture was performed and intracranial pressure(ICP)was recorded.The ICP≥200 mmH2O was defined as the ICP increased group,ICP＜200 mmH2O was defined as the ICP normal group,and 17 AIDS patients without complications were selected as the control group.The baseline data,ONSD and MCA cerebral blood flow parameters of the three groups were compared,and the statistically significant indexes were correlated with ICP,and the receiver operating charac-teristic(ROC)curve of the subjects was drawn to analyze the diagnostic efficacy of ONSD value in predicting intracranial hypertension caused by AIDS cryptococcal meningitis.Results There were no significant differ-ences in gender,age,systolic blood pressure or diastolic blood pressure among the ICP increased group,the ICP normal group and the control group(P＞0.05).There were no significant differences in PSV,EDV,S/D and RI among the three groups of MCA(P＞0.05),but there was significant difference in ONSD among the three groups(P＜0.05).There was a positive correlation between ICP and ONSD in the patients with AIDS cryptococcal meningitis(P＜0.01,r=0.736).The ROC curve analysis showed that when the ONSD cutoff value was 3.965 mm,it predicted the highest efficacy of intracranial high pressure in the patients with AIDS cryptococcal meningitis.The area under the ROC curve was 0.90(95％CI:0.714-1.000,P=0.001),the sensitivity was 90％,and the specificity was 100％.Conclusion Ultrasonic measurement of ONSD can effec-tively predict ICP in patients with AIDS cryptococcal meningitis and guide clinical decompression measures in time,which is worthy of clinical application.

Objective To investigate the effect of glucagon-like peptide 1(GLP-1)receptor agonists exendin-4 on the secretion of cyclophilin A(CyPA)to inhibit atherosclerosis(AS)and vascular calcification in mice role of the process.Methods Twenty ApoE-/-mice were randomly divided into model group and exendin-4 group,10 mice in each group,and were fed with high-fat diet to establish AS model,another 10 wild-type C57BL/6J mice were taken as the control group,and the exendin-4 group was intraperitoneally injected with the GLP-1R agonist exendin-4,1/d,for 8 weeks.After 8 weeks,the ELISA method was used to determine the level of triglyceride(TG),total cholesterol(TC),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)and CyPA,serum calcium level was detected by methylthymol blue colorimetric method,oil red O staining to detect the development of atherosclerotic plaques in the aorta,HE staining was used to observe the pathological changes of the aorta,Von Kossa staining was used to observe the calcium deposition in the aorta,immunohistochemical staining,Real-time PCR and Western blotting were used to detect the expression levels of aortic RUNX2 and bone morphogenetic protein 2(BMP-2),immunofluorescent staining was used to detect the positive expression of CyPA in aortic tissue.Results Compared with the control group,the serum levels of TG,TC,LDL-C,Ca and CyPA in the model group increased(P<0.05),the atherosclerotic plaque areas of the aorta increased(P<0.05),the aortic wall was thickened significantly and a large number of inflammatory cells were infiltrated,a large amount of calcium deposits were deposited in the aortic parietal membrane,the positive expression area ratio of RUNX2 and BMP-2,the relative mRNA expression of RUNX2 and BMP-2,the relative protein expression of RUNX2 and BMP-2 in aortic tissue all increased(P<0.05),and the red fluorescence of CyPA expression in aortic tissue was enhanced significantly.Compared with the model group,the serum levels of TG,TC,LDL-C,Ca and CyPA in the exendin-4 group decreased(P<0.05),the atherosclerotic plaque areas of the aorta decreased(P<0.05),the thickening of the aortic wall and the infiltration of inflammatory cells were alleviated significantly,the calcium deposition in the aortic wall was reduced,the positive expression area ratio of RUNX2 and BMP-2,the relative mRNA expression of RUNX2 and BMP-2,the relative protein expression of RUNX2 and BMP-2 in aortic tissue all decreased(P<0.05),and at the same time,the red fluorescence of CyPA expression in aortic tissue was weakened significantly.Conclusion GLP-1 receptor agonists exendin-4 can inhibit atherosclerosis and vascular calcification in mice,and the mechanism may be related to the reduction of CyPA secretion.

Nutritional therapy is a core component of critically ill patient management,and the enteral route has become the preferred method due to its dual roles of nutrition and non-nutrition. The use of vasoactive medications makes enteral nutrition decisions more challenging for these patients. This review systematically examines the pathophysiological effects of vasoactive medications on gastrointestinal tract of critically ill patients,the current value and safety of enteral nutrition in this patient's population,summarizes the optimal strategies for implementing enteral nutrition in these patients for clinical reference.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance imaging (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status in breast cancer.Methods:A retrospective study was conducted, involving 187 patients with confirmed breast cancer by postsurgical pathology at Zhenjiang First People's Hospital during January 2021 and May 2023. Immunohistochemistry or fluorescence in situ hybridization was used to determine the HER-2 status of these patients, with 48 cases classified as HER-2 positive and 139 cases as HER-2 negative. The training set was used to construct the prediction models and the validation set was used to verify the prediction models. Layers of T2WI, ADC, and early-delayed phase DCE-MRI images were used to delineate the volumeof interest and 960 radiomic features were extracted from each case using Pyradiomic. After screening and dimensionality reduction by intraclass correlation coefficient, Pearson correlation analysis, least absolute shrinkage, and selection operator, the radiomics labels were established. Logistic regression analysis was used to construct the T2WI radiomics model, ADC radiomics model, DCE-2 radiomics model, DCE-6 radiomics model, and the joint sequence radiomics model to predict the HER-2 expression status of breast cancer, respectively. Based on the clinical, pathological, and MRI image characteristics of patients, univariate and multivariate logistic regression analysis wasused to construct a clinicopathological MRI feature model. The radscore of every patient and the clinicopathological MRI features which were statistically significant after screening were used to construct a nomogram model. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of each model and the decision curve analysis wasused to evaluate the clinical usefulness.Results:The T2WI, ADC, DCE-2, DCE-6, and joint sequence radiomics models, the clinicopathological MRI feature model, and the nomogram model were successfully constructed to predict the expression status of HER-2 in breast cancer. ROC analysis showed that in the training set and validation set, the areas under the curve (AUC) of the T2WI radiomics model were 0.797 and 0.760, of the ADC radiomics model were 0.776 and 0.634, of the DCE-2 radiomics model were 0.804 and 0.759, of the DCE-6 radiomics model were 0.869 and 0.798, of the combined sequence radiomics model were 0.908 and 0.847, of the clinicopathological MRI feature model were 0.703 and 0.693, and of the nomogram model were 0.938 and 0.859, respectively. In the training set, the combined sequence radiomics model outperformed the clinicopathological features model ( P＜0.001). In the training and validation sets, the nomogram outperformed the clinicopathological features model ( P＜0.05). In addition, the diagnostic performance of the nomogram was better than that of the four single-modality radiomics models in the training cohort ( P＜0.05) and was better than that of DCE-2 and ADC models in the validation cohort ( P＜0.05). Decision curve analysis indicated that the value of individualized prediction models was higher than clinical and pathological prediction models in clinical practice. The calibration curve showed that the multimodal radiomics model had a high consistency with the actual results in predicting HER-2 expression. Conclusions:T2WI, ADC and early-delayed phase DCE-MRI imaging histology models for HER-2 expression status in breast cancer are expected to provide a non-invasive virtual pathological basis for decision-making on preoperative neoadjuvant regimens in breast cancer.

Objective:This study aimed to analyze the genomic characteristics of Varicella-Zoster Virus (VZV) strains circulating in Jilin province from 2010 to 2023.Methods:Vesicle fluid from 78 sporadic cases with VZV infection were collected in Jilin province from 2010 to 2023, after detecting by Real-time PCR, 26 specimens (CT<25) were detected by PCR. Open reading frame 22(ORF22), ORF38 and ORF62 were amplified and analyzed. Genotyping was confirmed by SNPs ORF22 (37902, 38019, 38055, 38081 and 38177) and ORF38 (69424). Vaccine strains were indentified from wild-type strains according to ORF38 (69349) and ORF62 (106262, 107252, and 108111). Sequences were analyzed by homologous comparison and phylogenetic analysis.Results:The comparison with Dumas sequence revealed that SNPs (37902, 38055, 38081 and 38177) in ORF22 and ORF38 (69424) have mutations similar to the pOka strain, which belong to clade 2. Compared to the Dumas and Baike strains, all 26 samples were wild-type strains. JL2016-4 strain changes from threonine to asparaginyl at position 38059, JL2021-4 strain changes from arginine to proline at position 37933, from aspartic acid to tyrosine at position 37935, and from aspartic acid at base 38031 to tyrosine. JL2023-1 strain changes from arginine to leucine at position 37933.Conclusions:VZV has been prevalent for 14 years in Jilin province. The main epidemic strains belong to the clade 2. We should strengthen the monitoring of VZV outbreaks and raise the coverage rate of VZV vaccination.

Objective To optimize the wine steamed Radix Rehmanniae processing technology.Methods The single factor experiment method was used to investigate the wine steamed Rehmannia glutinosa.Ultra-performance liquid chromatography-triple quadrupole tandem mass spectrometry(UPLC-QqQ-MS/MS)was used to determine the content of active ingredients such as stachyose tetrahydrate,manninotriose,melibiose,fructose,echinacoside,rhmannioside C,rhmannioside D,verbascoside,verbascoside,melittoside,monomelittoside,D(+)-raffinose pentahydrate,8-epicarnolic acid,catalpol,dihydrocatalpol,ajugol and so on.Through analytic hierarchy process and criteria importance through inter-criteria correlation(AHP-CRITIC),the content of the above chemical components and the color and sweetness values of rehmannia decoction pieces were used as evaluation indexes,and the amount of wine,steaming time and stuffiness time of steamed Rehmannia were investigated by a single-factor test method.The Box-Behnken response surface method was used to carry out the experimental design,and the divine Rehmannia processing process optimized.Results The optimal processing technology of wine steamed Radix Rehmanniae was as followed:20.6 g of alcohol per 100 g of herbs,1.5 h of stuffiness,and 6.5 h of steaming time.Conclusion The process of wine steamed rehmannia determined in this experiment is feasible,which can provide a reference for the research of processed rehmannia and provide certain guiding significance for the processed variety in industrial production.

Objective To understand the prevalence characteristics of influenza and changes of influenza virus strains,and provide reference for the prevention and control of influenza in the province.Methods Surveillance da-ta about influenza in Hunan Province from 2014 to 2023 were exported from China Influenza Surveillance Informa-tion System.Differences in the percentage of influenza-like illness(ILI)cases(percentage of influenza-like cases[ILI％]in outpatient and emergency department visits)among different years and different populations,as well as the positive rate of influenza virus in ILI specimens were compared.Results From 2014 to 2023,over 2.65 million cases of ILI were reported,with an ILI％of 4.70％.ILI％among different years presented statistically significant differences(P＜0.001).People aged 0-14 years old were the main population with ILI,accounting for 82.90％.The positive rate of influenza virus in ILI specimens was 14.14％,the positive rate of influenza virus among diffe-rent years and age groups were both significantly different(both P＜0.001).The main prevalent influenza strains from 2014 to 2023 included types A(H1N1),A(H3N2),B(Victoria),and B(Yamagata),alternating among di-fferent years.However,type B(Yamagata)strains were not detected from 2020 to 2023.There were basically two influenza prevalence seasons every year,namely winter-spring and summer.Conclusion People＜15 years old are the main population of influenza,and the prevalence peaks are in winter-spring and summer.From 2021 to 2023,the prevalence alternates mainly among 3 types:A(H1N1),A(H3N2),and B(Victoria).