Objective To predict the potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into O. hupensis surveillance and control in Yunnan Province. Methods The O. hupensis snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into O. hupensis snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population). Variables were screened with Pearson correlation test and variance inflation factor (VIF) test. The RF and MaxEnt models and the ensemble model were created using the biomod2 package of the software R 4.2.1, and the potential distribution of O. hupensis snails after 2016 was predicted in Yunnan Province. The predictive effects of models were evaluated through cross-validation and independent tests, and the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS) and Kappa statistics were used for model evaluation. In addition, the importance of environmental variables was analyzed, the contribution of environmental variables output by the models with AUC values of > 0.950 and TSS values of > 0.850 were selected for normalization processing, and the importance percentage of environmental variables was obtained to analyze the importance of environmental variables. Results Data of 148 O. hupensis snail distribution sites and 15 environmental variables were included in training sets of RF and MaxEnt models, and both RF and MaxEnt models had high predictive performance, with both mean AUC values of > 0.900 and all mean TSS values and Kappa values of > 0.800, and significant differences in the AUC (t = 19.862, P < 0.05), TSS (t = 10.140, P < 0.05) and Kappa values (t = 10.237, P < 0.05) between two models. The AUC, TSS and Kappa values of the ensemble model were 0.996, 0.954 and 0.920, respectively. Independent data verification showed that the AUC, TSS and Kappa values of the RF model and the ensemble model were all 1, which still showed high performance in unknown data modeling, and the MaxEnt model showed poor performance, with TSS and Kappa values of 0 for 24%(24/100) of the modeling results. The modeling results of 79 RF models, 38 MaxEnt models and their ensemble models with AUC values of > 0.950 and TSS values of > 0.850 were included in the evaluation of importance of environmental variables. The importance of annual sunshine duration (SSD) was 32.989%, 37.847% and 46.315% in the RF model, the MaxEnt model and their ensemble model, while the importance of annual mean relative humidity (RHU) was 30.947%, 15.921% and 28.121%, respectively. Important environment variables were concentrated in modeling results of the RF model, dispersed in modeling results of the MaxEnt model, and most concentrated in modeling results of the ensemble model. The potential distribution of O. hupensis snails after 2016 was predicted to be relatively concentrated in Yunnan Province by the RF model and relatively large by the MaxEnt model, and the distribution of O. hupensis snails predicted by the ensemble model was mostly the joint distribution of O. hupensis snails predicted by RF and MaxEnt models. Conclusions Both RF and MaxEnt models are effective to predict the potential distribution of O. hupensis snails in Yunnan Province, which facilitates targeted O. hupensis snail control.

Objective To investigate the effect of MALAT1 expressions on cell proliferation and apoptosis in astrocytes by regulating mitogen-activated protein kinase(MAPK)/extracellular signal-regulated kinase(ERK1,2)pathway.Methods The MALAT1 gene was knocked down and over-expressed in C8-D1A cells by lentiviral and plasmid vectors,respectively.The expressions of MALAT1,cell proliferation-related markers(Ki67,MCM2,PCNA)and apoptosis-related proteins(Caspase-3,Bax,Bcl-2)were detected by quantitative real-time polymerase chain reaction(qPCR).CCK-8 assay and flow cytometry were used for cell proliferation and apoptosis in C8-D1A cells.Immunofluorescence was adopted to detect the protein expressions of Caspase-3 and Ki67.Western blotting was used to detect the protein expressions of Caspase-3,Bax,Bcl-2,ERK1/2,p-ERK1/2,p38MAPK and p-p38MAPK.Results Compared with the control group,over-expressed MALAT1 inhibited cell proliferation and induced cell apoptosis in C8-D1A cells while the knockdown of MALAT1 significantly enhanced cell proliferation and anti-apoptotic ability in C8-D1A cells.The proportion of C8-D1A cells in G0/G1-phase and G2/M-phase was higher than in the control group as evidenced by flow cytometry,but was lower in S-phase.Meanwhile,data showed that Caspase-3 was increased while p-ERK1/2 was decreased in terms of protein levels.The mRNA expressions of Ki67 and PCNA were decreased.After knockdown of MALAT1,the proportion of C8-D1A cells in S-phase was higher,but was lower in G2/M-phase.The protein expressions of Caspase-3 and Bax decreased while those of p-ERK1/2 and p-p38MAPK increased.The mRNA expressions of Ki67,MCM2 and PCNA were increased.The differences were all statistically significant(P＜0.05).Conclusion MALAT1 promotes astrocyte apoptosis and inhibits proliferation by regulating the MAPK/ERK1,2 signaling pathway.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective:To investigate the effect of genetic polymorphism of MTHFR C677T (rs1801133) on methotrexate (MTX) related toxicity in pediatric mature B-cell lymphoma patients. Methods:Fifty-eight intermediate and high risk patients under 18 years of age with mature B-cell lymphoma who received 5 g/m2 MTX (24 h intravenous infusion) in Sun Yat-sen University Cancer Center from August 2014 to December 2021 were included,and their toxicity of high-dose MTX (HD-MTX) were monitored and analyzed. Results:Among the 58 pediatric patients,the number of CC,CT,and TT genotypes for MTHFR C677T was 33,19 and 6,respectively. A total of 101 courses of HD-MTX therapy were counted,of which plasma MTX level>0.2 μmol/L at 48 h post-MTX infusion were observed in 35 courses,≤0.2 μmol/L in 66 courses. Inter-group comparison showed that plasma MTX level>0.2 μmol/L at 48 h post-MTX infusion increased the risk of developing oral mucositis (P<0.05). Compared with wild-type (CC genotype),patients in the mutant group (CT+TT genotype) were more likely to develop myelosuppression,manifested as anemia,leucopenia,neutropenia and thrombocytopenia. However,plasma MTX level at 48 h was not associated with MTHFR C677T gene polymorphism. Conclusion:The risk of developing oral mucositis in children with mature B-cell lymphoma is associated with plasma MTX concentration. Polymorphism of MTHFR C677T gene is not related to plasma MTX concentration in children with mature B-cell lymphoma,but is related to grade Ⅲ to Ⅳ hematological toxicity.

Lactic acid produced by muscles during exercise training is transported to the liver for metabolism through the bloodstream.In this process,the lactate acid level increases with the increase of exercise intensity,and the concentration of lactate acid in interstitial matrix of muscle tissues increases subsequently,leading to muscle fatigue.Transcutaneous electrical nerve stimulation(TENS)is a widely used medical method for muscle relaxation and improving peripheral blood circulation.To monitor the potential of TENS to alleviate muscle fatigue,this study adopted electrical impedance tomography(EIT)method to visualize the alleviating effect of TENS on muscle fatigue by detecting the tissue electrical characteristics response caused by the changes in blood lactate concentration,a biomarker of muscle fatigue.An experimental platform was thus constructed to mimic the changes of blood lactate concentration(Cbl)in the muscle tissue model,and to measure the trend of the spatial-mean conductivity((σ))in the mimic model during the Cbl change.The blood flow velocity was closely related to the metabolic rate of the lactate in the blood.TENS could speed up blood flow and effectively reduced the lactate accumulation in muscle tissue.However,too fast blood flow velocity was prone to cause secondary ventricular fibrillation disease,which threatened the safety of human life.To avoid this threat,a real-time blood flow velocity mimic platform was developed in this study to monitor the(σ)changes caused by the changes in blood flow velocity(vph)in the vicinity of mimic blood vessels.The correlations between Cbl vs(σ),and vph vs(σ)in the mimic muscle tissue were verified by Pearson test.Pearson correlation analysis results showed a positive correlation between Cbl and(σ)(r=0.9113,p<0.05),and betweenvph and(σ)(r=0.9782,p<0.001).The approach presented here quantitatively assessed the potential of TENS stimulation-induced changes in lactate concentration and blood flow velocity for alleviating muscle fatigue through(σ).

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Background The course of schizophrenia is prolonged,and patients have impaired social function and significantly reduced quality of life.Drug therapy combined with psychological therapy is particularly important for improving the quality of life of patients.Brief cognitive behavioral therapy(BCBT)has been widely applied in clinical practice,but current research on BCBT focuses more on improving patients' symptoms and lacks relevant reports on improving quality of life.Objective To evaluate the efficacy and influencing factors of BCBT combined with conventional treatment on improving the quality of life in patients with schizophrenia.Methods A total of 210 patients who met the diagnostic criteria for schizophrenia in the International Classification of Diseases(10th edition)(ICD-10)and were followed up at the outpatient department of Beijing Anding Hospital Capital Medical University from August 2011 to December 2016 were selected.Using a random number table method,patients were divided into study group and control group,with 105 cases in each group.Both groups received routine treatment,and the research group received a total of 8 BCBT sessions for 12 weeks on this basis.At the baseline period and 12 weeks of treatment,26 weeks of follow-up and 52 weeks of follow-up,Positive and Negative Syndrome Scale(PANSS),Personal and Social Performance Scale(PSP)and World Health Organization Quality of Life Brief(WHOQOL-BREF)were used for evaluation.Results The results of repeated measures analysis of variance showed that the time point effect and interaction effect of PANSS total score were statistically significant(F=118.783,8.083,P<0.01).The time point effect,inter group effect and interaction effect of PSP total score were statistically significant(F=94.358,4.048,5.490,P<0.05 or 0.01).The time point effect,inter group effect and interaction effect of the total score of WHOQOL-BREF were all statistically significant(F=12.330,4.168,4.142,P<0.05 or 0.01)Binary Logistic regression analysis showed that the study group(OR=1.861,95%CI:1.004～3.448)and young age(OR=1.044,95%CI:1.001～1.088)were protective factors for improving quality of life of patients,while high PANSS baseline score(OR=0.972,95%CI:0.945～0.999)was a risk factor for improving quality of life of patients.Conclusion The combination of BCBT and conventional treatment has an earlier onset of improvement in the quality of life of patients with schizophrenia,and long-term efficacy is superior to conventional treatment.

Objective:To observe the clinical efficacy and action mechanism of Jujing Decoction(JJD)in the treatment of as-thenoteratozoospermia(ATZ)by comparing JJD with combined administration of the antioxidant stress drug and sperm energy metabo-lism agent.Methods:According to the inclusion criteria,we enrolled 67 male patients with ATZ in this randomized controlled clini-cal study and treated them by oral administration of JJD(the JJD group,n=34)or natural vitamin E combined with L-carnitine solu-tion(the positive control group,n=33),both for 12 weeks.We collected the semen parameters,sperm DNA fragmentation index(DFI),sperm mitochondrial membrane potential(MMP),seminal plasma reactive oxygen species(ROS)and superoxide dismutase(SOD)levels from the patients,observed the ultrastructure of sperm mitochondria under the transmission electron microscope(TEM)before and after treatment,and analyzed the clinical efficacy and action mechanism of JJD by comparing the data obtained between the two groups.Results:Treatment and follow-up were completed in 60 of the cases,30 in the JJD and 30 in the positive control group.The total rate of clinical effectiveness was significantly higher in the JJD than in the positive control group(76.8％vs 43.3％,P＜0.05).Compared with the baseline,the percentages of progressively motile sperm(PMS)and morphologically normal sperm(MNS),DFI and MMP were significantly improved(P＜0.05),the level of seminal plasma ROS decreased(P＞0.05),and that of SOD re-markably increased(P＜0.05)after treatment with JJD;PMS,MNS,DFI and MMP were also improved(P＞0.05),seminal plas-ma ROS decreased(P＞0.05)and SOD increased(P＜0.05)in the positive controls after medication.In comparison with the posi-tive controls,the patients treated with JJD showed even more significant improvement in PMS([29.37±14.56]％vs[42.68±15.86]％,P＜0.05),MNS([1.84±1.32]％vs[3.66±1.72％]％,P＜0.05),DFI([32.66±5.23]％vs[16.61±4.20]％,P＜0.05)and MMP([46.47±9.48]％vs[61.79±8.61]％,P＜0.05),ROS([7.08±0.51]vs[5.06±0.52]μmol/L,P＞0.05),and SOD([100.65±10.59]vs[139.05±14.71]U/ml,P＜0.05).TEM revealed significantly improved ultrastructure of sperm mitochondria after treatment with JJD.No serious adverse reactions were observed in either group dur-ing follow-up.Conclusion:JJD,superior to natural vitamin E and L-carnitine oral solution,can safely and effectively increase the percentages of PMS and MNS,MMP and the level of seminal plasma SOD,reduce sperm DFI and seminal plasma ROS,and improve the ultrastructure of sperm mitochondria in patients with ATZ.The underlying mechanism of action may be related to its ability of im-proving the structure and function of sperm mitochondria via antioxidant stress.

AIM To investigate the clinical effects of Buyang Huanwu Decoction combined with Erlong Xizhu Acupuncture Method on elderly patients with stroke.METHODS Ninety-six patients were randomly assigned into control group(48 cases)for 1-month intervention of Erlong Xizhu Acupuncture Method,and observation group(48 cases)for 1-month intervention of both Buyang Huanwu Decoction and Erlong Xizhu Acupuncture Method.The changes in neurological function indices(NIHSS score,NDS score),Hcy,CysC,vascular endothelial function indices(ET-1,NO,vWF),intracranial hemodynamic indices(Vmean,R,DR),hemorheological indices(WBLSV,WBHSV,FIB,HCT,EAI)and prognosis assessment indices(mRS score,BI score)were detected.RESULTS After the treatment,the two groups displayed decreased neurological function indices,Hcy,CysC,ET-1,vWF,R,DR,hemorheological indices,mRS score(P＜0.05),and increased NO,Vmean,BI score(P＜0.05),especially for the observation group(P＜0.05).CONCLUSION For the elderly patients with stroke,Buyang Huanwu Decoction combined with Erlong Xizhu Acupuncture Method can reduce serum Hcy,CysC levels,and improve vascular endothelial functions,intracranial hemodynamics,hemorheological indices,thus improve neurological functions and promote prognosis.

Objective: To analyze the association between different sleep behaviors and overweight and obesity of junior high school students in Yangzhou City, and to provide a basis for policies and interventions related to adolescent health management. Methods: A total of 1 589 students in grades 7-9 from two middle schools in Yangzhou City were selected using the cluster sampling method and were administered with sleep time, bedtime, social jetlag difference, and sleep habits. Results: Totally 64.38% were sleep deprived during the school days, 86.78% went to bed too late, 46.51% had a social jetlag of ≥1 h, and 37.44% took a nap every day(Incluldes holidays and school days). Social jetlag length was statistically different between grades( F =6.97, P < 0.01 ). Girls[(0.95±0.65)h] shown significantly higher social jetlag than the boys[(0.76±0.59)h]( t=6.19, P <0.01). Later bedtime on weekends, later wake up time on weekends and poor sleep behavior were risk factors for overweight and obesity in junior high school students( OR=1.20, 1.14, 1.04, P <0.05). Conclusion Junior high school students had less sleep and later bedtimes with the increase of grade, and weekend bedtimes,wake up times and poor sleep behavior were independently associated with the risk of overweight and obesity in junior high school students. Parents and schools should be instructed to pay attention to their sleep health and carry out adolescent sleep health guidance.