Objective To understand mosquito density, species composition, and seasonal variations around the Beijing Capital International Airport(BCIA)and provide scientific evidence for mosquito-borne disease prevention and control. Methods Meteorological data were collected from 2016 to 2022, and mosquito density was monitored at seven surveillance sites around the BCIA from May to October each year using CO2-baited mosquito traps to analyze the relationship between mosquito density and meteorological factors. Results In total,68 518 female mosquitoes were captured, with a mosquito density of 10.20 per light · hour. The dominant species was Culex pipiens pallens(73.90%), followed by Aedes albopictus(9.71%)and Ae. vexans(9.29%);the mosquito density was highest in 2016(14.8 per light·hour)and lowest in 2022(4.46 per light·hour). Significant statistical differences were observed in mosquito density among different species(F=18.118, P<0.05). The density of Cx. pipiens pallens and other mosquito species showed a mutually exclusive trend; the peak of mosquito density varied based on years and habitats, with significant statistical differences in mosquito density among different habitats(F=8.504, P<0.05). The highest mosquito density was observed near the Wenyu River(21.50 per light·hour), whereas the lowest was recorded at the BCIA construction site(2.44 per light· hour). The monthly average temperature(r=0.595), monthly average highest temperature(r=0.575), and monthly average lowest temperature(r=0.624)showed moderate positive correlations, whereas the monthly average air pressure(r=-0.484)showed a moderate negative correlation. The monthly average minimum temperature was included in the regression model(F=25.575, P<0.000), and the equation Y=1.029X4-8.181 was used. The monthly average air pressure 2 months prior(b=-2.418, β=-1.619, P<0.05)and the monthly average relative humidity(b=-0.739, β=-1.201, P<0.05)significantly negatively predicted the mosquito density. Notably, the regression equation used was y=2526.170+(-2.418)X9+(-0.739)X13. The exposure-response analysis revealed that the density of mosquitoes was not linearly related to the average monthly air pressure, rainfall, and duration of sunshine. Conclusions The dominant mosquito species around the BCIA was Cx. pipiens pallens, Ae. albopictus, and Ae. vexans. During the control of Cx. pipiens pallens, the impact on other mosquito species must also be considered. Environmental management, breeding sites, and scientific use of pesticides should be prioritized based on the activity periods of mosquitoes. Further studies on mosquitoes and meteorological factors should be conducted to provide references and novel avenues for mosquito control.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

The establishment and development of neonatal intensive care unit(NICU)have significantly increased the survival rate of premature infants.However,the diagnosis,treatment,and surgeries performed in NICU may expose neonates to more noxious stimuli.As the neonatal period is crucial for brain development,these noxious stimuli may cause irreversible damage to the neonatal nervous system.Existing clinical studies have shown that repetitive noxious stimuli during the neonatal period can lead to poor brain development,persistent hyperalgesia,and various sequelae.However,the underlying mechanisms remain unclear,and effective treatment methods are lacking.This article summarizes the effects of repetitive noxious stimuli during the neonatal period on neural development and the complications,aiming to provide a basis for the neonatal analgesia management and the prevention and treatment of related sequelae.
Humans ; Infant, Newborn ; Brain/growth & development* ; Infant, Premature ; Intensive Care Units, Neonatal ; Hyperalgesia ; Pain

Foodborne illnesses caused by Salmonella pose significant threats to worldwide public health safety.In this study,a rapid method for screening viable Salmonella in oyster sauce and milk was developed by utilizing an electronic microbial growth analyzer(EMGA).Target food samples were diluted 10-fold with RVS broth and loaded into test tubes.Test tubes were positioned in the EMGA to determine the bacterial growth curves and the time required to reach the maximum growth rate(Tmgr).Using Salmonella typhimurium(S.typhimurium)asan model species,there was linear relationship between the logarithmic value of viable bacterial concentration(lgC)and Tmgr over the range of 5×101-5×106 CFU/mL,with a detection limit of 10 CFU/mL.For oyster sauce,the regression equation was Tmgr(min)=-80.775lg[C/(CFU/mL)]+754.96(R2=0.9907),and the recovery rates of S.typhimurium ranged from 95.2%to 119.8%,with relative standard deviations(RSD)ranging from 3.5%to 16.3%.For milk,the regression equation was Tmgr(min)=-71.922 lg[C/(CFU/mL)]+618.65(R2=0.9985),with recovery rates ranging from 98.4%to 110.6%and RSD ranging from 6.4%to 12.8%.The EMGA method required only one portable instrument,and involving only three manual steps,i.e.,dilution,transfer,and insertion.When S.typhimurium contamination reached 106 CFU/mL,the total time consumption,from the unwrapping of samples to the readout of bacterial concentration,was no more than 7 h.When applied to detection of actual oyster sauce and milk samples,the new method demonstrated strong consistency with plate counting results in positive detection rates.This method was superior to the plate counting method,which was generally considered as a gold standard,in terms of accuracy,precision,simplicity and efficiency,representing a promising alternative for the on-site screening and quantification of viable Salmonella in oyster sauce and milk products.

Objective To verify the efficacy of a domestic human DNA quantification kit based on real-time fluorescence quantitative PCR in detecting the total human DNA concentration,male DNA concen-tration in mixed male/female DNA samples,the degree of DNA degradation and inhibitor tolerance.Methods Samples with different concentrations,different male/female ratios,different concentrations of inhibitors,and different degradation degrees were tested using the domestic human DNA quantification kit based on real-time fluorescence quantitative PCR.This kit was compared with a similar product on the market and was applied to the detection of DNA from real cases.Results This human DNA quan-tification kit can effectively detect human DNA as low as 0.001 65 ng/μL,and 6.25 pg/μL of male DNA in mixed samples with a male-to-female ratio of 1∶15 000.Even when the sample contains as high as 400 ng/μL of humic acid or 1 000 μmol/L of hemin alone,the DNA concentration can still be accurately detected.The degradation index can effectively characterize the degradation degree of the sample.This kit has been successfully applied in forensic practice.Conclusion This human DNA quan-tification kit is accurate and reliable in detection.It can accurately reflect the degradation of DNA and inhibitor tolerance.It has good performance in quantitative accuracy,determination of the male/female ratio in mixed samples,and inhibitor tolerance.It has application potential in forensic case examination.

Objective To construct an aptamer-functionalized carboxylated graphene oxide(CGO)fluo-rescent sensor to achieve highly sensitive and specific detection of ketamine(KET)and its metabolite norketamine(NK)using an aptamer capable of simultaneously recognizing KET and NK.Methods A specific aptamer for simultaneous recognition of KET and NK was screened using graphene oxide-sys-tematic evolution of ligand by exponential enrichment(GO-SELEX)and molecular docking tech-niques.The aptamer,labeled with Cy5 fluorescence,was chemically conjugated to CGO to construct an aptamer-functionalized CGO fluorescent sensor.By optimizing detection conditions,including the mass concentration of CGO,aptamer concentration,reaction temperature,and incubation time,quantita-tive analysis of the target analytes was achieved using the ratio of fluorescence intensity changes be-fore and after target addition.The stability of the sensor in biological matrices was evaluated by moni-toring fluorescence intensity changes over incubation time in blank blood and urine,in comparison with the traditional physical adsorption-based CGO fluorescent sensor.Spiked recovery experiments in blank blood and urine were conducted to compare performance with that of HPLC-MS/MS.Results A specific aptamer A5 was selected and chemically conjugated with CGO to construct the aptamer-functionalized CGO fluorescent sensor.Under optimized conditions,the proposed fluorescent sensor ex-hibited a linear detection range of 1.0-5.0 ng/mL for KET,with a limit of detection(LOD)of 0.86 ng/mL;while for NK,the linear detection range was 1.0-5.0 ng/mL,with an LOD of 0.70 ng/mL.Com-pared with the CGO fluorescent sensor constructed via physical adsorption,this sensor demonstrated greater stability in blood and urine.The spiked recovery rates of KET and NK in blank blood and urine ranged from 81.50%to 110.03%,exhibiting detection performance comparable to that of HPLC-MS/MS.Conclusion The aptamer screening method offers a novel approach for selecting aptamers tar-geting drugs and their metabolites.The constructed aptamer-functionalized CGO fluorescent sensor pro-vides an efficient and reliable strategy for the high-performance detection of KET and NK.

Objective To establish a chromatography-tandem mass spectrometry method for detecting chlorfenapyr and its metabolite tralopyril in blood,and to investigate the toxicokinetics in rats.Methods Chlorfenapyr(8 mg/kg)was administered orally to rats,and blood samples were collected from rats'canthus vein at 5 min,15 min,30 min,1 h,3 h,6 h,12 h,24 h and 48 h after administration.The blood samples were extracted using 100 μL of 5%formic acid solution and 400 μL of acetonitrile.Chlorfena-pyr was qualitatively and quantitatively detected by triple quadrupole gas chromatography-tandem mass spectrometry(GC-MS/MS)and tralopyril was detected by triple quadrupole liquid chromatography-tandem mass spectrometry(LC-MS/MS).The DAS 3.0 software was used to fit the toxicokinetic equa-tions and calculate the toxicokinetic parameters.Results Chlorfenapyr was detectable from 5 min to 24 h with a peak time of 1 h.Tralopyril was detectable from 15 min to 48 h with a peak time of 3 h.The toxicokinetic process of chlorfenapyr in rat blood conformed to a first-order absorption one-compartment open model,with the toxicokinetic equation described as C=e-0.265t-e-0.175t.Tralopyril con-formed to the first-order absorption three-compartment model,and the toxicokinetic equation was C=47 361.069e-2.209t-35 404.962e-1.486t+11 956.363e-0.512t.In the equations,C stands for the concentration of the target substance in the blood,e is the natural constant(≈2.718 28),and t stands for time.Conclu-sion This study optimized the detection method for chlorfenapyr and its metabolite tralopyril in blood.The toxicokinetic equations and parameters of chlorfenapyr and tralopyril can provide a reference for the estimation of oral intake time of chlorfenapyr.

Objective To explore the predictive value of transforming growth factor beta 1(TGF-β1),chromobox homolog 7(CBX7),and soluble urokinase type plasminogen activator receptor(suPAR)for post-operative recurrence of cervical intraepithelial neoplasia after cervical conization.Methods A total of 200 pa-tients with cervical intraepithelial neoplasia admitted to the hospital from April 2020 to June 2023 were select-ed as the research subjects.All patients were treated with cervical conization.All patients were followed up for one year.According to the postoperative recurrence of cervical intraepithelial neoplasia patients after cervical conization,they were divided into the recurrence group and the non-recurrence group.Univariate and multiva-riate Logistic regression analyses were conducted to analyze the risk factors influencing the postoperative re-currence of cervical intraepithelial neoplasia after cervical conization.The receiver operating characteristic(ROC)curve was drawn to analyze the value of TGF-β1,CBX7 and suPAR in predicting the postoperative re-currence of cervical intraepithelial neoplasia after cervical conization.A nomogram model for predicting the postoperative recurrence of cervical intraepithelial neoplasia after cervical conization was established using R software and verified both internally and externally.The calibration curve and decision curve were used to ana-lyze the calibration ability and application value of the nomogram.Results The levels of TGF-β1,CBX7 and suPAR in the recurrence group were all higher than those in the non-recurrence group,and the difference was statistically significant(P<0.05).The results of multivariate Logistic analysis showed that TGF-β1,CBX7,and suPAR were all risk factors for postoperative recurrence of cervical intraepithelial neoplasia after cervical conization(P<0.05).The results of ROC curve analysis showed that the area under the curve(AUC)of the combined prediction of TGF-β1,CBX7,and suPAR for the postoperative recurrence of cervical intraepithelial neoplasia after cervical conization was higher than AUC of the individual detection of each index(Z=3.554,2.311,2.520,P<0.05).The correction curve of the nomogram model for predicting the postoperative recur-rence of cervical intraepithelial neoplasia after cervical conization approached the ideal curve(P=0.298,0.687).Conclusion The combination of TGF-β1,CBX7 and suPAR has certain value in predicting the postoperative recurrence of cervical intraepithelial neoplasia after cervical conization.

Objective:To explore the effects of radical resection of pelvic autonomic nerve sparing cervical cancer on urodynamics, sexual function and prognosis of patients with cervical cancer.Methods:A total of 76 patients with cervical cancer admitted to Dingzhou People’s Hospital from Jan. 2021 to Jan. 2023 were selected as research objects, and all patients were divided into control group and study group by random number table method, with 38 cases in each group. The control group was treated with traditional laparoscopic radical cervicectomy, and the study group was treated with laparoscopic radical cervicectomy preserving pelvic autonomic nerve. Perioperative indexes, preoperative and postoperative urodynamics, tumor markers, sexual function and postoperative adverse reactions were compared between the two groups.Results:The operation time of the observation group was longer than that of the control group ( P<0.05). The exhaust time and defecation time of the observation group were lower in the observation group than in the control group ( P<0.05). There was no significant difference in the amount of blood loss or lymph node dissection between the two groups ( P>0.05). There was no significant difference in urodynamic indexes between the two groups before surgery ( P>0.05). In the observation group after surgery, the bladder compliance, maximum urine flow rate and maximum detrusor systolic blood pressure were (81.55±13.18 mL/cm H 20, 20.46±4.65 L/s, 35.09±7.41 cm H 20), while they were (60.14±10.27) mL/cm H 20, (14.48±3.92) L/s, (28.15±6.94) cm H 20 in the control group. The observation group were higher than the control group ( P<0.05). There was no significant difference in maximum bladder volume between the two groups ( P>0.05). There was no significant difference in sexual function scores between the two groups before surgery ( P>0.05). The scores of sexual desire, vaginal wetness and pain, sexual arousal and orgasm, and sexual satisfaction in the observation group were higher than those in the control group ( P<0.05). There was no significant difference in the incidence of adverse reactions between the two groups ( P>0.05) . Conclusion:Radical resection of pelvic autonomic nerve preserving cervical cancer can improve urodynamic indexes and sexual function of patients with cervical cancer, and has the same efficacy as conventional laparoscopic radical resection of cervical cancer without increasing adverse reactions, and has a good effect and safety.

Objective:To study the diagnostic value and correlation of contrast-enhanced ultrasound time-intensity curve in the main pathological features of cervical cancer.Methods:From August 2021 to August 2023, 100 patients with cervical cancer and 100 patients with benign cervical tumors examined in Dingzhou People’s Hospital were selected for study. Patients with benign cervical tumors were included in the control group, and patients with cervical cancer were included in the observation group.The two groups of patients were examined by PHILIPS EPIQ7 C color Doppler ultrasound diagnostic instrument and PHILIPS EPIQ5 color Doppler ultrasound diagnostic instrument to obtain the quantitative parameters of the time-intensity curve of the two groups. The bivariate Spearman correlation test was used to analyze the main pathological features of cervical cancer patients (lesion diameter, pathological type, vascular invasion, lymph node metastasis, differentiation degree, clinical stage) and the correlation between radiotherapy and chemotherapy and the acquisition of time-intensity curve. The receiver operating characteristic curve (ROC) was drawn to analyze the diagnostic value of the time-intensity curve.Results:The time to peak (TTP) value of the cervical cancer group was lower than that of the control group, and the peak intensity (PI) and maximum peak intensity ratio (PI/PIc) values were higher than those of the control group, the differences were statistically significant ( P<0.05). Compared with patients with non-squamous cell carcinoma, vascular invasion < 1/2, no lymph node metastasis, moderate to high differentiation, stage I-II, and after radiotherapy and chemotherapy, patients with squamous cell carcinoma, vascular invasion ≥ 1/2, lymph node metastasis, low differentiation, stage III-IV, and before radiotherapy and chemotherapy had lower TTP values, higher PI and PI/PIc values, and the differences were statistically significant ( P<0.05). Pathological type, vascular invasion, lymph node metastasis, differentiation degree and clinical stage were negatively correlated with TTP, and positively correlated with PI and PI/PIc ( P<0.05) .Chemoradiotherapy was positively correlated with TTP, and negatively correlated with PI and PI/PIc ( P<0.05). The sensitivity and specificity of combined detection of time intensity curve were higher than those of TTP, PI, PI/Ic, area under curve (AUCTC) and mean transit time (MTT), and the differences were statistically significant ( P<0.05). The AUC values of combined detection of TTP, PI, PI/PIc and time intensity curve were all > 0.85, and the diagnostic value was high. Conclusions:The time-intensity curve of contrast-enhanced ultrasound is closely related to the main pathological features of cervical cancer, such as pathological type, lymph node metastasis and staging. According to the changes, the effect of radiotherapy and chemotherapy can be judged, which can provide a good reference for the diagnosis and treatment of cervical cancer.