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This study aims to find out the possible optimal therapy and assess the prognosis properly for patient with spontaneous rupture of hepatocellular carcinoma (HCC).Propensity score matching (PSM) analysis was used to study the data from 325 patients with ruptured HCC (RHCC) and 2,291 patients with non-RHCC.The incidence and hospital mortality of RHCC were 5.1% and 0.8% respectively, with a median overall survival (OS) time of 17 months. There was no difference between ruptured and non-RHCC patients undergoing conservation treatment in terms of OS. Trans-arterial embolization (TAE) was carried out in 69 (21.2%) cases with RHCC, with a median OS of 7 months, which was no difference from that of non-RHCC (pre- and post-PSM). One hundred and sixty-nine (52.0%) RHCC cases underwent one-stage hepatectomy, with a median OS and disease-free survival (DFS) of 30 and 6 months respectively, which were shorter than that of non-RHCC (post-PSM). TAE plus two-stage hepatectomy was performed in 30 RHCC cases, with a median OS and DFS of 28 and 10 months respectively; these outcomes were better than that from RHCC patients undergoing TAE alone or one-stage hepatectomy (post-PSM), which were no difference from that of non-RHCC patients undergoing hepatectomy. The risk of death for RHCC patient undergoing one-stage hepatectomy is 1.545 times higher than that of one undergoing TAE + two-stage hepatectomy.TAE plus two-stage hepatectomy might be the optimal treatment for RHCC patient. Under the premise of the same pathological properties, there is no difference in prognosis between ruptured and non-RHCC patients if the therapy is appropriate.

Neuroinflammation is an important secondary aggravating factor in spinal cord injury (SCI). Inhibition of the inflammatory response is critical for SCI treatment. Glycyrrhizic acid (GA) is an anti-inflammatory drug, but its utility for SCI is unclear. This study aimed to evaluate the effects of GA on inflammation after SCI and the underlying mechanism.Cell counting kit-8 assays were performed to assess the viability of highly aggressively proliferating immortalized cells that had been treated with lipopolysaccharide (LPS) and/or GA. Reverse transcription quantitative polymerase chain reaction and Western blotting were performed to assess expression of high mobility group box-1 protein (HMGB1), ionized calcium binding adaptor molecule 1, and inflammatory factors in vitro and in vivo. GA (100 mg/kg) was intraperitoneally injected into rats. Anti-inflammatory effects of GA were analyzed in SCI tissues. p38/Jun N-terminal kinase signaling pathway proteins were analyzed by Western blotting.Cell counting kit-8 assay results showed that treatment with 100 ng/mL LPS for 12 hours was optimal. After LPS treatment, highly aggressively proliferating immortalized cells were activated; messenger RNA expression levels of HMGB1 and inflammatory factors were increased. GA significantly inhibited LPS-induced HMGB1 expression and inflammatory responses, as determined by reverse transcription quantitative polymerase chain reaction and Western blotting. Transfection with an HMGB1-overexpression plasmid reversed the anti-inflammatory effects of GA. In addition, intraperitoneal injection of GA (100 mg/kg) into rats for 3 days significantly reduced expression levels of HMGB1 and inflammatory factors after SCI in vivo. GA reduced phosphorylation, but not levels, of p38 and Jun N-terminal kinase proteins.GA attenuates the inflammatory response after SCI by inhibiting HMGB1 through the p38/JNK signaling pathway and thus has therapeutic potential for SCI.

Based on the traffic data of Beijing, this paper uses the principal component analysis method to establish a reliable indicator system of efficiency evaluation. It then uses the three-stage DEA model to evaluate the efficiency of rail transit and ground bus in 2008–2017, which describes the development trend and effective situation of rail transit and ground bus in Beijing in the past ten years. Besides, it also compares and analyzes the calculated efficiency before and after the adjustment. The research shows that the overall operation efficiency of rail transit is high and rising year by year, but the overall operation efficiency of ground bus is low and declining in recent years. The number of vehicles, as an environmental variable, leads to the virtual high and causes a significant impact on the comprehensive efficiency and pure technical efficiency of rail transit, but has little impact on the scale efficiency. Also, it leads to the virtual high of comprehensive efficiency and pure technical efficiency of ground bus but underestimates the scale efficiency.

This paper presents a seismic pounding risk-based method to determine the minimum separation distance (MSD) between nonlinear adjacent buildings. In this method, subset simulation is extended to as...

Neuronal intranuclear inclusion disease (NIID) is a rare progressive neurodegenerative disorder, with complex and diverse of clinical manifestations characterized by eosinophilic hyaline inclusions in neurons and somatic cells. Due to the improvement in diagnostic methods, NIID is being increasingly diagnosed. Herein, we reported three NIID cases, which were diagnosed by skin biopsy and FMR1 gene, after DWI showed the characteristic corticomedullary junction hyperintensity. Then we reviewed all the published cases of NIID in PubMed, which were diagnosed by the same method. We discussed 15 NIID cases, including three cases diagnosed by us. The average age was 63.4 ± 14.0 years. The average time from onset of symptom to diagnosis was 5.4 ± 7.9 years. Nine cases had dementia or cognitive impairment. Three cases presented with encephalitis. Three cases showed bladder dysfunction and two cases only presented with dizziness and headache. Two cases showed acute neurological deficit mimicking stroke. All cases were diagnosed by skin biopsy, after DWI showed abnormal corticomedullary junction hyperintensity. Ten cases showed inclusions in sweat gland cells, and seven cases in adipocytes, sweat gland cells, and fibroblasts. EMG was performed in five cases, four of whom had abnormal results, showing simultaneous involvement of motor and sensory nerves. The results indicated that inclusions were more easily detected in sweat gland cells in skin biopsy. The early stage of NIID could only characterized by autonomic nerve function involvement. Combined autonomic nerve dysfunction might be another relatively common manifestation in NIID.

African swine fever (ASF), a fatal disease outbroken in China in August 2018, has widely attracted social concern especially in the information era. The occurrence of ASF led to an imbalance between supply and demand in pork and other meat markets. As a result, meat prices fluctuated greatly during the past year in 2019. To measure ASF quantitatively, the internet public concern index about ASF was created using web crawler methods. The relationships between ASF and meat prices were analyzed based on time-varying parameter vector auto-regressive (TVP-VAR) model. The results showed that there were some differences in the impact size, direction and duration of ASF on the prices of pork, chicken, beef and mutton, and the characteristics of time variability and heterogeneity were obvious. At the same time, the impact of ASF on meat prices is not consistent with the trend and degree of ASF. The impulse intensity is strongly correlated with the strength and duration of ASF, and it is generally weak in the early stage and much stronger in the middle and late periods. The results indicate that macro regulations, monitoring and early-warning system, standardizing production and circulation, and the public opinion monitoring and guidance about ASF should be given more attention in future to stabilize the market expectations and to promote a smooth functioning of the livestock markets.

We explored the feasibility of cardiac computed tomography (CCT) to evaluate postoperative ventricular function in children with congenital heart disease (CHD) and evaluated the accuracy and reproducibility of CCT using cardiac magnetic resonance (CMR) as a reference.Thirty-two postoperative children with CHD (20 boys and 12 girls) who underwent CMR and CCT were enrolled. Left and right ventricular ejection fraction, end-diastolic volume, end-systolic volume, stroke volume, and cardiac index were measured using cardiac function analysis software. Cardiac function data were compared between CMR and CCT. The agreement between the 2 modalities was assessed using a Bland-Altman analysis. Intraclass correlation coefficients were used to assess intraobserver and interobserver reproducibility in CCT functional measurements.All functional parameters showed no significant difference (P0.05) and were well-correlated (r0.5, P0.05) between CMR and CCT. The mean values of all ventricular function parameters in CCT were higher compared with CMR. As indicated by 95% limits of agreement, left ventricular function parameters showed a better level of agreement compared with right ventricular function parameters between the 2 modalities. Intraobserver and interobserver reproducibility were excellent in CCT measurements for all functional parameters (intraclass correlation coefficient0.9).Compared with the criterion standard of CMR, CCT is feasible for assessing postoperative ventricular function with sufficient diagnostic accuracy and reproducibility in children with CHD. In addition to its important role regarding anatomical characterization, CCT is a suitable alternative and convenient follow-up tool that can be used to functional evaluation in children who are intolerant with CMR or have contraindications to CMR.

Objectives To investigate the etiology of common respiratory pathogens in children < 2 years of age hospitalized with pneumonia in Xiamen from 2014 to 2017. Methods The medical records of 5581 children with pneumonia were retrospectively reviewed. Direct immunofluorescent test was used for respiratory virus testing. Bacteria were detected by conventional culture method. The results of pathogen detection at admission were analyzed as well as the clinical outcomes of children. Results The burden of hospitalized children with pneumonia was highest among infants < 6 months old (58.2%). Respiratory syncytial virus (RSV) was the most common respiratory virus (26.0%) followed by parainfluenza (4.8%) and adenovirus (3.2%). Haemophilus influenzae was the most common bacteria detected (16.6%) followed by Moraxella catarrhalis (13.4%), Staphylococcus aureus (13.0%), Streptococcus pneumoniae (12.3%), Escherichia coli (5.1%) and Klebsiella pneumoniae (4.8%). Notably, RSV and K. pneumoniae were detected more frequently in severe pneumonia (35.0% and 10.9%) versus mild pneumonia (25.6% and 4.6%), with higher rates of ICU admissions, longer hospital stays and higher hospital costs compared to those infected with other respiratory pathogens. Conclusions Among children < 2 years of age hospitalized with pneumonia in Xiamen, RSV was the most common respiratory virus, while H. influenzae and S. pneumoniae remained the predominant bacterial pathogens detected. Considering the low implementation rate of vaccines against pneumococcal and Hib pneumonia in China, there is an urgent need to increase both vaccination rates to reduce pneumococcal and Hib disease burden.

As the climate change has made an enormous impact on the global environment in recent years, people begin to place a premium on the concept of environmental protection with many nongovernmental green groups working together surrounding the issue. Due to the interlocking effect of reducing productivity, the instability of oil price, and alternative energy, green ingredients, energy-saving materials and other green industries that the textile industry in Taiwan is confronted with, the approach to reviving the sunset industry may, through the lens of cultural creativity, has blue ocean business opportunities to offer. The study focuses on how to combine traditional stain and green stain so as to formulate visual and scientific standards and improve the age-old stereotype that dyed cloth belongs exclusively to traditional handicraft, which will open up the potential for the future application and originality of dyed cloth and may usher in new business opportunities for Taiwan dyed cloth. The study has two aims. On one hand, it will analyze the hi-tech green dyeing and natural dyeing in Taiwan textile industry and explore the two stains’ properties of environmental protection, energy conservation, stain resistance, color fastness, and optical activity resistance. Through data-based visual research, a visual systematic structure will be set up based on the existing materials, and the stain color scheme will be developed for relevant industrial growth and designers to use. On the other hand, on the basis of the stain color scheme, compound media materials will be employed in wax printing craft to create cultural commodities that blends creativity and international competitiveness. The overall study result shall provide creators with a scientific research-based stain visual system, stain color scheme, thereby enhancing the quality and width of creation and open up the potential blue ocean business opportunities for cultural creation.

Objective. To investigate the related factors of skin damage caused by peripherally inserted central catheter (PICC) in cancer patients. Methods. It was a retrospective analysis of 202 cancer patients admitted to our hospital from February 2014 to July 2019. 50 cases of PICC-related skin damage and 152 cases of non-skin damage were studied. In addition, multivariate logistic regression analysis was used to determine independent risk factors for PICC-related skin damage, including cancer patients with catheter-related skin damage and patients without skin damage. Results. 50 patients with PICC skin damage (19 males and 31 females) and 152 patients without skin damage (62 males and 90 females) were retrospectively analyzed. The skin damage rate was 24.8%. The analysis of variance results showed that many factors are related to PICC catheter-related skin damage, including hormones (χ2/Z = 4.468, P < 0.05 ), body mass index (BMI) (χ2/Z = −2.443, P < 0.05 ), days with tube (χ2 = 26.230, P < 0.05 ), chemotherapy cycle (χ2/Z = 25.638, P < 0.05 ), and self-care ability (χ2/Z = −1.968, P < 0.05 ). Logistic regression analysis showed that hormones (odds ratio (OR) = 3.896, P = 0.045 ), BMI (OR = 1.129, P = 0.017 ), days with tube (OR = 0.419, P = 0.013 ), and chemotherapy cycle (OR = 3.302, P = 0.028 ) are independent factors affecting PICC-related skin damage. Conclusion. The independent influencing factors of skin damage during PICC catheterization are hormones, BMI, number of days with tube, and chemotherapy cycle.

A flat Luneburg lens antenna for Ku-band (12–18 GHz) applications is proposed and designed using ceramic 3-D printing. Metamaterial structures and transformation optics technology are used to realize the gradient dielectric constant, compress the height, and reduce the weight of the Luneburg lens. The proposed 3-D printed Luneburg lens, combined with a 10 dB standard gain horn antenna, obtained an antenna gain up to 19.1 dBi over the operating frequency and the thickness reduction of 78%. In addition, the ability of the flat Luneburg lens to perform passive beam scanning with a limited power loss is achieved. This exploration of ceramic 3-D printing can serve as a reference for the development of ceramic components with complex structures.

Femoral marrow magnetic resonance imaging (MRI) is a non-invasive, non-irradiated and useful modality for evaluating bone marrow (BM) conditions. Human adult femoral BM is almost uniformly fatty marrow and has the largest volume of a single bone. MRI has an extremely high resolution for fat and water, which allows high-contrast imaging of cellular infiltration into fat tissue. In hematological diseases, femoral BM MRI can clearly detect cell infiltration, which is symmetrically imaged from the proximal to the distal direction of abnormal signal areas. Thus, we investigated the significance of femoral MRI for non-Hodgkin lymphoma (NHL). We analyzed the data of 69 NHL patients who received femoral MRI at diagnosis in this single-center retrospective cohort study. The median patient age was 73 years. MRI patterns were mainly classified as uniform patterns or nonuniform patterns. We also classified the range of cellular marrow as high-grade or low-grade based on whether it had spread to over half of the femur. Both overall survival (OS) and progression-free survival (PFS) were significantly influenced by abnormal femoral marrow MRI. In particular, the patients with cellular femoral marrow lesions had a worse OS and PFS based on log-rank tests. Multivariable analyses with the Cox proportional hazards model revealed that OS and PFS were significantly influenced by cellular marrow diagnosed by femoral MRI. We concluded that femoral marrow MRI is a useful tool for detecting BM involvement and an independent prognostic factor in NHL patients.

Encoder–decoder networks are state-of-the-art approaches to biomedical image segmentation, but have two problems: i.e., the widely used pooling operations may discard spatial information, and therefore low-level semantics are lost. Feature fusion methods can mitigate these problems but feature maps of different scales cannot be easily fused because down- and upsampling change the spatial resolution of feature map. To address these issues, we propose INet, which enlarges receptive fields by increasing the kernel sizes of convolutional layers in steps (e.g., from $3\times 3$ to $7\times 7$ and then $15\times 15$ ) instead of downsampling. Inspired by an Inception module, INet extracts features by kernels of different sizes through concatenating the output feature maps of all preceding convolutional layers. We also find that the large kernel makes the network feasible for biomedical image segmentation. In addition, INet uses two overlapping max-poolings, i.e., max-poolings with stride 1, to extract the sharpest features. Fixed-size and fixed-channel feature maps enable INet to concatenate feature maps and add multiple shortcuts across layers. In this way, INet can recover low-level semantics by concatenating the feature maps of all preceding layers and expedite the training by adding multiple shortcuts. Because INet has additional residual shortcuts, we compare INet with a UNet system that also has residual shortcuts (ResUNet). To confirm INet as a backbone architecture for biomedical image segmentation, we implement dense connections on INet (called DenseINet) and compare it to a DenseUNet system with residual shortcuts (ResDenseUNet). INet and DenseINet require 16.9% and 37.6% fewer parameters than ResUNet and ResDenseUNet, respectively. In comparison with six encoder–decoder approaches using nine public datasets, INet and DenseINet demonstrate efficient improvements in biomedical image segmentation. INet outperforms DeepLabV3, which implementing atrous convolution instead of downsampling to increase receptive fields. INet also outperforms two recent methods (named HRNet and MS-NAS) that maintain high-resolution representations and repeatedly exchange the information across resolutions.

Purpose Our research aimed to investigate the expression level of circ_0002232, which is transcribed from PTEN, and find out the association of circ_0002232/miR-92a-3p/PTEN network in acute myeloid leukemia (AML). Methods Circ_0002232 expression in 115 AML patients and 48 controls was detected by using real-time quantitative PCR. The diagnostic value of circ_0002232 expression was evaluated by receiver operating characteristic curve. Kaplan-Meier curves were used to analyse the impact of circ_0002232 for overall survival. Associated network of circ_0002232 was predicted by using interaction prediction websites. Results Compared with controls, circ_0002232 was notably low-expressed in AML (P

Background. Bladder cancer is one of the most common urinary malignancies. This study is aimed at providing some promising molecular biomarkers for bladder cancer (BC) by investigating the correlation between C1QTNF6 expression and clinical characteristics as well as prognosis in patients with bladder cancer. Methods. Sequencing profiles of C1QTNF6 mRNA in BC patients were collected to evaluate the distinctive gene expression, between normal bladder mucosa and BC, according to the TCGA and GEO databases. The association between C1QTNF6 expression and the clinical features as well as the disease prognosis was evaluated using two independent cohorts. The expression of C1QTNF6 in normal bladder and BC cells was examined by western blotting and PCR, so the underlying molecular mechanism could be further investigated. Results. C1QTNF6 mRNA levels were found to be differentially expressed in two independent public cohorts, including the TCGA database and GSE13507 dataset from GEO. The protein and RNA levels of C1QTNF6 in BC cells were both elevated when compared to normal bladder cell lines. High C1QTNF6 expression was detected in advanced T/M stages, pathological grade, and AJCC stage when compared to the low C1QTNF6 expression group. The underlying mechanism related to this differential expression could be explained by cell migration and invasion assays, where bladder cancer cells 5637 and T24 had a significant reduction on migration and invasion ability upon knockdown of C1QTNF6 expression. The low C1QTNF6 expression group presented a more prominent OS advantage over the high-expression group in both TCGA and GSE13507 cohorts. Moreover, the protein content in tissues was further validated using the HPA database and TMA. Survival analyses also indicated that the high C1QTNF6 expression group had an unfavorable OS when compared to the low-expression group. Conclusions. High C1QTNF6 expression may serve as a predictor of poor prognosis in bladder cancer patients, and the underlying mechanism is possibly associated with changes on cancer cell migration and invasion ability.

Context Malignant thyroid tumor with distant metastasis is associated with poor outcome. Early detection of distant metastasis is of great clinical importance. Objective Thyroid tumor infiltrated with T cells can serve as a biomarker for monitoring metastasis. Design A retrospective analysis was performed of patient clinical samples collected between 2012 to 2018, using T-cell receptor sequencing (TCR-seq) for clinical exploration. Setting This study took place at Zhejiang Cancer Hospital. Patients Sixty-eight patients with papillary thyroid cancer (PTC) (distinct metastatic status) and 21 patients with benign nodules were enrolled. All patients had not received any treatment before surgery. Main Outcome Measure The characteristics of TCRβ complementary-determining region 3 (CDR3) for each patient were determined by high-throughput sequencing. Results The TCRβ diversity of malignant tumors is significantly higher than benign nodules both in blood and tumor samples (Shannon index, blood, P Conclusion The availability and reliability of TCR-seq render it prospective to translate these intrinsic attributes into clinical practice for monitoring distant metastasis in PTC patients.

Background and study aims Small polyps are occasionally missed during colonoscopy. This study was conducted to validate the diagnostic performance of a polyp-detection algorithm to alert endoscopists to unrecognized lesions. Methods A computer-aided detection (CADe) algorithm was developed based on convolutional neural networks using training data from 1991 still colonoscopy images from 283 subjects with adenomatous polyps. The CADe algorithm was evaluated on a validation dataset including 50 short videos with 1-2 polyps (3.5 ± 1.5 mm, range 2-8 mm) and 50 videos without polyps. Two expert colonoscopists and two physicians in training separately read the same videos, blinded to the presence of polyps. The CADe algorithm was also evaluated using eight full videos with polyps and seven full videos without a polyp. Results The per-video sensitivity of CADe for polyp detection was 88% and the per-frame false-positive rate was 2.8%, with a confidence level of ≥30%. The per-video sensitivity of both experts was 88%, and the sensitivities of the two physicians in training were 84% and 76%. For each reader, the frames with missed polyps appearing on short videos were significantly less than the frames with detected polyps, but no trends were observed regarding polyp size, morphology or color. For full video readings, per-polyp sensitivity was 100% with a per-frame false-positive rate of 1.7%, and per-frame specificity of 98.3%. Conclusions The sensitivity of CADe to detect small polyps was almost equivalent to experts and superior to physicians in training. A clinical trial using CADe is warranted.

Papillary thyroid carcinoma (PTC) is the most common malignancy of the thyroid gland, with a relatively high cure rate. Distant metastasis (DM) of PTC is uncommon, but when it occurs, it significantly decreases the survival of PTC patients. The molecular mechanisms of DM in PTC have not been systematically studied. We performed whole exome sequencing and GeneseeqPrime (425 genes) panel sequencing of the primary tumor, plasma and matched white blood cell samples from 20 PTC with DM and 46 PTC without DM. We identified somatic mutations, gene fusions and copy number alterations and analyzed their relationships with DM of PTC. BRAF‐V600E was identified in 73% of PTC, followed by RET fusions (14%) in a mutually exclusive manner (P < 0.0001). We found that gene fusions (RET, ALK or NTRK1) (P < 0.01) and chromosome 22q loss (P < 0.01) were independently associated with DM in both univariate and multivariate analyses. A nomogram model consisting of chromosome 22q loss, gene fusions and three clinical variables was built for predicting DM in PTC (C‐index = 0.89). The plasma circulating tumor DNA (ctDNA) detection rate in PTC was only 38.9%; however, it was significantly associated with the metastatic status (P = 0.04), tumor size (P = 0.001) and invasiveness (P = 0.01). In conclusion, gene fusions and chromosome 22q loss were independently associated with DM in PTC and could serve as molecular biomarkers for predicting DM. The ctDNA detection rate was low in non–DM PTC but significantly higher in PTC with DM., The study identified gene fusion and somatic copy number alterations, particularly chromosome 22q loss, to be risk factors for distance metastasis (DM) of PTC and provided a convenient tool for the prediction of PTC DM.

Background The relationship between dietary acrylamide intake and renal cell carcinoma risk is inconclusive. In consideration of the recent findings, we conducted an updated meta-analysis to assess the association between acrylamide intake and renal cell carcinoma risk. Results PubMed, EMBASE, and Cochrane databases have been used to identify epidemiological studies on dietary acrylamide intake and renal cell carcinoma risk. This meta-analysis study included eight studies, 2843 cases, and 309 920 controls/participants. We performed meta-analyses to calculate the summary relative risk (RR) for the highest versus lowest intake of dietary acrylamide. No meaningful association was found for renal cell carcinoma; RR was 1.12 (95% confidence interval (CI): 0.97-1.28). Among participants who never smoked, no association was found between dietary acrylamide and renal cell carcinoma; the RR for highest versus lowest intake of dietary acrylamide was 1.11 (95% CI: 0.93-1.32). Conclusion This meta-analysis study indicates that dietary acrylamide is not related to the risk of renal cell carcinoma. © 2020 Society of Chemical Industry.

In this study, a simple and low-cost method is proposed to enhance angular color uniformity (ACU) of color-mixed light-emitting diodes (cm-LEDs) by introducing a diffuse coating layer. Optical models of the proposed cm-LEDs packaging modules were constructed by Monte Carlo ray-tracing simulation. The simulation results demonstrate the ACU enhancement of the cm-LEDs packaging modules with the application of the diffuse coating layer on the reflection cup. Owing to the strong light scattering and diffuse reflection effects of the diffuse coating layer, the different color light emitted from the different chip are sufficiently mixed. The diffuse coating layer was fabricated by spraying method. Its optical performance was demonstrated by experiments. The correlated color temperature (CCT) deviations of the cm-LEDs applying the diffuse coating layer have been reduced from 1174 K to 138 K at viewing angles ranging from -80° to +80°. A lowest luminous flux loss of 3.54% is obtained. The diffuse coating layer could also maintain the excellent ACU performance when the average CCTs changes from about 2000 K to 5200 K. Extremely small CCT deviations were obtained, which are less than 300 K at average CCTs ranging from 2000 K to 5200 K. The results demonstrate that the diffuse coating layer on reflection cup is a feasible and effective method to enhance the ACU of the cm-LEDs.

Under the high load, high frequency and high strength operating environment, the frequent occurrence of vehicle fault gradually attracts the attention of the society. The real-time monitoring and data recording function of vehicle-mounted equipment provides data support for vehicle status assessment and fault warning. In this paper, the real-time data collected by CAN-BUS system of Beijing Bus Group are preprocessed and discretized. On the basis of the traditional rough set theory, a new coding method is set up, and the dependency between conditional attributes and decision attributes is set as an adaptive function, which is reduced by genetic algorithm and cellular genetic algorithm respectively. The calculation results show that the key fault information of public transport vehicles is instrumental speed, oil pressure, percentage of torque, timing engine speed, and coolant temperature. By comparing the results of reduction, it is found that the cellular genetic algorithm has higher applicability than the genetic algorithm in terms of algorithm efficiency, stability, and convergence quality. Although the genetic algorithm attribute reduction is slightly better than the cellular genetic algorithm attribute reduction in the rule matching, the cellular genetic algorithm has a better ability to excavate information within the acceptable compatibility range. Finally, the selected key factors will be deployed on the Beijing Bus Group's big data platform and displayed in real time. The conclusion of this paper enriches the theory of bus engine fault warning and establishes an engine failure warning system, which can effectively reduce the failure rate of bus vehicles and reduce the maintenance cost expenditure. It has certain guiding significance for the bus operation work of Beijing Bus Group.

Background & Aims Gemcitabine resistance is rapidly acquired by pancreatic ductal adenocarcinoma (PDAC) patients. Novel approaches that predict the gemcitabine response of patients and enhance gemcitabine chemosensitivity are important to improve patient survival. We aimed to identify genes as novel biomarkers to predict the gemcitabine response and the therapeutic targets to attenuate chemoresistance in PDAC cells. Methods Genome-wide RNA interference screening was conducted to identify genes that regulated gemcitabine chemoresistance. A cell proliferation assay and a tumor formation assay were conducted to study the role of lethal giant larvae homolog 1 (LLGL1) in gemcitabine chemoresistance. Levels of LLGL1 and its regulating targets were measured by immunohistochemical staining in tumor tissues obtained from patients who received gemcitabine as a single therapeutic agent. A gene-expression microarray was conducted to identify the targets regulated by LLGL1. Results Silencing of LLGL1 markedly reduced the gemcitabine chemosensitivity in PDAC cells. Patients had significantly shorter survival (6 months) if they bore tumors expressing low LLGL1 level than tumors with high LLGL1 level (20 months) (hazard ratio, 0.1567; 95% CI, 0.05966–0.4117). Loss of LLGL1 promoted cytokine receptor oncostatin M receptor (OSMR) expression in PDAC cells that led to gemcitabine resistance, while knockdown of OSMR effectively rescued the chemoresistance phenotype. The LLGL1-OSMR regulatory pathway showed great clinical importance because low LLGL1 and high OSMR expressions were observed frequently in PDAC tissues. Silencing of LLGL1 induced phosphorylation of extracellular signal-regulated kinase 2 and specificity protein 1 (Sp1), promoted Sp1 (pThr453) binding at the OSMR promoter, and enhanced OSMR transcription. Conclusions LLGL1 possessed a tumor-suppressor role as an inhibitor of chemoresistance by regulating OSMR–extracellular signal-regulated kinase 2/Sp1 signaling. The data sets generated and analyzed during the current study are available in the Gene Expression Omnibus repository (ID: GSE64681)., Graphical abstract

The rapid development of economy and society stimulates the increase of power demand. Wind power has received great attention as a typical renewable energy, and the share of wind power is continually increasing in recent years. However, the high integration of wind power brings challenges to the secure and reliable operation of power grid due to the intermittent characteristic of wind power. In order to solve the operation risk caused by wind power uncertainty, this paper proposes to solve the problem of stochastic security-constrained unit commitment (SCUC) by considering the extreme scenarios of wind power output. Firstly, assuming that the probability density distribution of wind power approximately follows a normal distribution, a great number of scenarios are generated by Monte Carlo (MC) simulation method to capture the stochastic nature of wind power output. Then, the clustering by fast search and find of density peaks (CSFDP) is utilized to separate the generated scenarios into three types: extreme, normal and typical scenarios. The extreme scenarios are identified to determine the on/off statuses of generators, while the typical scenarios are used to solve the day-ahead security-constrained economic dispatch (SCED) problem. The advantage of the proposed method is to ensure the robustness of SCUC solution while reducing the conservativeness of the solution as much as possible. The effectiveness of the proposed method is verified by IEEE test systems.

Purpose To explore the application of ECG‐guided localization technology in PICC catheterization and the clinical significance of different maps of intracavitary ECG in PICC tip localization. Methods In the process of catheter placement under the guidance of ultrasound, the technique of intracavitary ECG location was used. The length of the catheter was measured on the body's surface. The amplitude of the P‐wave and the QRS‐wave groups of electrocardiograms before and during catheter placement was recorded. Nine hundred sixty‐one patients who underwent X‐ray chest film examination after catheterization were imaged on the chest film at the tip of the catheter. Results Eight hundred four cases had a characteristic P wave, 83.66%, of which, 331 cases (50% < P/R ≤80%) had 99.09%; 425 cases (80% < P/R ≤100%) had 99.29%; 48 cases (P/R >100%) had 100%. One hundred eighteen cases of non‐specific P wave accounted for 12.28% and 79.66% of chest radiographs, of which 72 cases of P/R

Retinal segmentation is a prerequisite for quantifying retinal structural features and diagnosing related ophthalmic diseases. Canny operator is recognized as the best boundary detection operator so far, and is often used to obtain the initial boundary of the retina in retinal segmentation. However, the traditional Canny operator is susceptible to vascular shadows, vitreous artifacts, or noise interference in retinal segmentation, causing serious misdetection or missed detection. This paper proposed an improved Canny operator for automatic segmentation of retinal boundaries. The improved algorithm solves the problems of the traditional Canny operator by adding a multi-point boundary search step on the basis of the original method, and adjusts the convolution kernel. The algorithm was used to segment the retinal images of healthy subjects and age-related macular degeneration (AMD) patients; eleven retinal boundaries were identified and compared with the results of manual segmentation by the ophthalmologists. The average difference between the automatic and manual methods is: 2-6 microns (1~2 pixels) for healthy subjects and 3-10 microns (1~3 pixels) for AMD patients. Qualitative method is also used to verify the accuracy and stability of the algorithm. The percentage of “perfect segmentation” and “good segmentation” is 98% in healthy subjects and 94% in AMD patients. This algorithm can be used alone or in combination with other methods as an initial boundary detection algorithm. It is easy to understand and improve, and may become a useful tool for analyzing and diagnosing eye diseases.

Background Groove pancreatitis (GP) is a type of chronic pancreatitis occurring in an anatomic area between the duodenum, head of the pancreas, and common bile duct. Duodenal obstruction is always caused by malignant pancreatic diseases, such as pancreatic head carcinoma, while is rarely induced by benign pancreatic diseases, such as pancreatitis. Case summary A 39-year-old man presented with a 1-mo history of upper abdominal discomfort. His concomitant symptoms were abdominal distension, postprandial nausea, and vomiting. Contrast-enhanced computed tomography of the abdomen showed thickening of the intestinal wall with enhancement of the descending segment of the duodenum, which could not be clearly differentiated from the head of the pancreas. Upper gastrointestinal radiographs and gastrointestinal endoscopy showed a complete obstruction of the descending duodenum. An operation found that a 3-cm mass was located in the "groove part" of the pancreas and oppressing the descending duodenum. Pancreaticoduodenectomy was performed to relieve the obstruction and thoroughly remove the pancreatic lesions. The pathologic diagnosis was pancreatitis. The patient had an uneventful recovery with no complications. Conclusion Because of the special location and the contracture induced by long-term chronic inflammation, our case reminds surgeons that some benign pancreatic diseases, such as GP, can also present with symptoms similar to those of pancreatic cancer. This knowledge can help to avoid an unnecessary radical operation.

The size and shape of the foveal avascular zone (FAZ) have a strong positive correlation with several vision-threatening retinovascular diseases. The identification, segmentation and analysis of FAZ are of great significance to clinical diagnosis and treatment. We presented an adaptive watershed algorithm to automatically extract FAZ from retinal optical coherence tomography angiography (OCTA) images. For the traditional watershed algorithm, “over-segmentation” is the most common problem. FAZ is often incorrectly divided into multiple regions by redundant “dams”. This paper analyzed the relationship between the “dams” length and the maximum inscribed circle radius of FAZ, and proposed an adaptive watershed algorithm to solve the problem of “over-segmentation”. Here, 132 healthy retinal images and 50 diabetic retinopathy (DR) images were used to verify the accuracy and stability of the algorithm. Three ophthalmologists were invited to make quantitative and qualitative evaluations on the segmentation results of this algorithm. The quantitative evaluation results show that the correlation coefficients between the automatic and manual segmentation results are 0.945 (in healthy subjects) and 0.927 (in DR patients), respectively. For qualitative evaluation, the percentages of “perfect segmentation” (score of 3) and “good segmentation” (score of 2) are 99.4% (in healthy subjects) and 98.7% (in DR patients), respectively. This work promotes the application of watershed algorithm in FAZ segmentation, making it a useful tool for analyzing and diagnosing eye diseases.

Background Radiofrequency catheter ablation (RFCA) is an effective therapy for atrial fibrillation (AF). However, it the problem of AF recurrence remains. This study investigates whether a deep convolutional neural network (CNN) can accurately predict AF recurrence in patients with AF who underwent RFCA, and compares CNN with conventional statistical analysis.Methods and Results:Three-hundred and ten patients with AF after RFCA treatment, including 94 patients with AF recurrence, were enrolled. Nine variables are identified as candidate predictors by univariate Cox proportional hazards regression (CPH). A CNNSurv model for AF recurrence prediction was proposed. The model's discrimination ability is validated by a 10-fold cross validation method and measured by C-index. After back elimination, 4 predictors are used for model development, they are N-terminal pro-BNP (NT-proBNP), paroxysmal AF (PAF), left atrial appendage volume (LAAV) and left atrial volume (LAV). The average testing C-index is 0.76 (0.72-0.79). The corresponding calibration plot appears to fit well to a diagonal, and the P value of the Hosmer-Lemeshow test also indicates the proposed model has good calibration ability. The proposed model has superior performance compared with the DeepSurv and multivariate CPH. The result of risk stratification indicates that patients with non-PAF, higher NT-proBNP, larger LAAV and LAV would have higher risks of AF recurrence. Conclusions The proposed CNNSurv model has better performance than conventional statistical analysis, which may provide valuable guidance for clinical practice.

Autoimmunity contributes to the pathogenesis of viral myocarditis (VMC), which is characterized by the production of anti-heart autoantibodies (AHA) from lymphoid follicles. Recently, the formation of ectopic lymphoid follicles (ELFs) was reported in heart grafts. However, the existence and role of ELFs in myocardial tissues of VMC remain unclear. This study aimed to explore whether and how cardiac ELFs with germinal centers (GCs) could be generated during the development of VMC. We identified the existence of ELFs and explored the underlying mechanism. In a BALB/c mouse model of VMC, the dynamic myocardial infiltrations of lymphocytic aggregates and expressions of associated lymphorganogenic factors were investigated, accompanied by the detection of the production and location of myocardial AHA. The data indicated ELFs formation in myocardial tissues of VMC, and the number of ELFs was in accordance with the severity of VMC. Moreover, the functional ELFs with GCs were capable of facilitating the production of local AHA. Blocking IL-17 or podoplanin (PDPN) could inhibit cardiac ELFs generation, perhaps due to the negative regulation of PDPN neutralization in Th17 cell proliferation and differentiation. The presence of cardiac ELFs and AHA might offer new opportunities for stratification and early identification of VMC patients.

To assess the pharmacokinetic parameters of vancomycin in Chinese critically ill pediatric patients, children treated with vancomycin, hospitalized in the intensive care unit were included. Samples to determine peak and trough serum concentrations were obtained on the third day of treatment. Half‐life was significantly longer in neonates and showed a decreasing trend in infants and children. In patients aged ≥1 month, AUC24/MIC ≥400 was achieved in 31.8% at the dose of 40 mg/kg/d, and in 48.7% at the dose of 60 mg/kg/d with an assumed MIC of 1 mg/L. Augmented renal clearance (ARC) was present in 27.3% of children, which was associated with higher vancomycin clearance and lower AUC values. A good correlation was observed between trough concentration and AUC24, and the trough concentration that correlated with AUC24 of 400 were varied according to the dosage regimens, 8.42 mg/L for 6‐hintervals, and 6.63 mg/L for 8‐h intervals. To conclude, vancomycin trough concentration that related to the AUC24 of 400 was much lower in critically ill children than that in adults. The dosage of 60 mg/kg/day did not enough for producing AUC24 in the range of 400–600 mg h/L in critically ill children, especially in those with ARC., A good correlation was observed between trough concentration and AUC24. The trough concentration that correlated with AUC24 of 400 were varied according to the dosage regimens, 8.42 mg/L for 6‐h intervals, and 6.63 mg/L for 8‐h intervals.

Recently, CAD EYE (Fujifilm, Tokyo, Japan), an artificial intelligence for the lesion recognition (CADe) and the optical diagnosis (CADx) of colorectal polyps, was released. We evaluated the function of CADe and CADx of CAD EYE. In this single-center retrospective study, we examined consecutive polyps ≤ 10 mm detected from March to April 2021 to determine whether CAD EYE could recognize them live with both normal- and high-speed observation using white-light imaging (WLI) and linked-color imaging (LCI). We then examined whether the polyps were neoplastic or hyperplastic live with magnified or non-magnified blue-laser imaging (BLI-LASER) or blue-light imaging (BLI-LED) under CAD EYE, comparing the retrospective evaluations with 5 experts and 5 trainees using still images. All polyps were histopathologically examined. We analyzed 100 polyps (mean size 3.9 ± 2.6 mm; 55 neoplastic and 45 hyperplastic lesions) in 25 patients. Regarding CADe, the respective detection rates of CAD EYE with normal- and high-speed observation were 85.0% and 67.0% for WLI (p = 0.002) and 89.0% and 75.0% for LCI (p = 0.009). Regarding CADx for differentiating neoplastic and hyperplastic lesions, the diagnostic accuracy values of CAD EYE with non-magnified and magnified BLI-LASER/LED were 88.8% and 87.8%. Regarding magnified BLI-LASER/LED, the diagnostic accuracy value of CAD EYE was not significantly different from that of experts (92.0%, p = 0.17), but that of trainees (79.0%, p = 0.04). We also found no significant differences in CADe or CADx between LED (53 lesions) and LASER (47 lesions). CAD EYE was a helpful tool for CADe and CADx in clinical practice.

Nanopores that integrate indium-tin-oxide (ITO) electrical gates have previously demonstrated the capability of modulating the DNA folding/knotting configurations in their translocation dwell times in such devices. Four ITO-SiNx nanopore devices are fabricated with their sizes in the 8 ∼ 20 nm range. The current blockage and dwell time characterizations using these nanopores are presented for DNAs entering from both the SiNx and ITO sides of the nanopores with 0 V bias applied at the ITO gate. While the current blockage data show little dependence on nanopore sizes, dwell time appears to be shorter with smaller nanopore sizes. Interestingly, the dwell times of DNAs entering from the ITO side are observed to be shorter than those of the reverse direction, suggesting the DNA translocation process is affected by the asymmetry of the layered nanopore structures. This work proves ITO as a compatible material for DNA translocation and provides a basic research for the velocity studies of DNA translocation in gated nanopores.

Background: pulmonary atresia (PA) is a group of heterogeneous complex congenital heart disease which need more than one study modality to get correct diagnoses. This study aims to investigate the diagnostic power of low-dose dual-source computed tomography (DSCT) for all intracardiac and extracardiac anomalies in patients with PA compared with transthoracic echocardiography (TTE).Materials and methods: This retrospective study enrolled 73 patients and divided them into three groups according to their main diagnosis. All associated malformation and clinical information, including treatments, were recorded and compared among the three groups. The diagnostic power of DSCT and TTE on all associated anomalies were compared. The surgical index (McGoon ratio, pulmonary arterials index (PAI), and total neopulmonary arterial index) and radiation dose were calculated on the basis of DSCT.Results: Of the patients, 29, 29, and 15 were divide into the groups of PA with ventricular septal defect (VSD), PA with VSD and major aortopulmonary collateral arteries, and PA with other major malformations, respectively. Consequently, 178, 144, and 12 intracardiac, extracardiac, and other major anomalies were diagnosed, respectively. Moreover, DSCT showed a better diagnostic performance in extracardiac anomalies (137 vs 100, p = 0.000), whereas TTE could diagnose intracardiac anomalies better (158 vs 134, p = 0.001). The McGoon ratio, PAI, and treatment methods were significantly different among the three groups (p = 0.027, p = 0.035, and p = 0.041, respectively).Conclusion: More than one imaging modality should be used to make a correct diagnosis when clinically suspecting PA. DSCT is superior to TTE in diagnosing extracardiac anomalies and could be used to roughly calculate surgical indices to optimize treatment strategy.

With the maturity of big data technology, analyzing residents’ travel habits and tracks has become an important research direction in the field of intelligent transportation study. In this paper, based on the subway and bus ride data, a subway-bus double-layer network model was established using complex network theory, taking the optimal traffic efficiency as the goal, the structure of intelligent bus network optimization method is proposed, and an empirical study is conducted on the Beijing bus network. In the empirical study, by adding or deleting bus station in the network, obtain an efficient network structure, the goal of optimal operation efficiency of the bus network was realized, and the theoretical and practical research on solving the problem of transportation line network planning with big data of traffic travel was enriched.

A counterbalance between immune cells and tumour cells is key to fighting tumours, and immune escape is an important mechanism for the survival of tumour cells in the body. Tumor cells and their cytokines impair the activity of T cells, NK cells, macrophages and other immune cells through various ways, and change the expression of their own surface antigens so as to avoid the clearance of the immune system. Changes in major histocompatibility complex molecules, high expression of programmed death-ligand 1, and the presence of immunosuppressive cells in the tumor microenvironment (TME) are main means by which tumors impair the function of immune cells. During the development of tumours of the digestive system, different mechanisms acting on tumour cells, the TME, and immune cells lead to immune escape and promote tumour progression. In this paper, the mechanisms of immune escape in tumour cells of the digestive system are reviewed to provide a theoretical basis for the immunotherapy of gastrointestinal tumours.

Aims: Previous studies have confirmed that BMI1 is elevated in esophageal cancer, which is a potential therapeutic target for esophageal cancer. However, the clinical significance of circular RNA BMI1 (circ-BMI1) in esophageal cancer is not yet clear. Herein, we revealed the clinical implication of circ-BMI1 in esophageal cancer, and provided a theoretical basis for molecular diagnosis and potential targeted therapy of esophageal cancer. Methods: Firstly, 10 fresh paired esophageal cancer tissues and paracancer tissues, 49 esophageal cancer serum samples and 28 healthy control serum samples were involved in our study. Differential expression and clinical significance of circ-BMI1 in esophageal cancer patients and healthy controls were evaluated by quantitative Real-time RT-PCR (RT-qPCR). Secondly, effects of circ-BMI1 differential expression on biological function of esophageal cancer cell line Eca109 were analyzed. Effects of circ-BMI1 on cell proliferation, migration and colony forming ability were evaluated by CCK-8, wound healing, and colony-forming assay. Cell apoptosis, drug sensitivity tests were also be conducted. Finally, influence of Eca109 cells differentially expressed by circ-BMI1 on tumorigenicity in nude mice was studied. Results: Expression of circ-BMI1 in serum and tissues of esophageal cancer patients was significantly decreased compared to controls ( P < 0.001 and P = 0.003, respectively). Area under the receiver operating characteristic curve (ROC) was 0.726. Cell proliferation, migration and colony forming ability of circBMI1-Eca109 cells were obviously decreased than that of NC-Eca109 cells ( P < 0.05). circBMI1-Eca109 cells were more sensitive to 5-fluorouracil and cisplatin, and tumor volume of nude mice in circBMI1-Eca109 group was smaller ( P < 0.05). Conclusions: The study indicated that expression of circ-BMI1 was significantly down-regulated in esophageal cancer. Overexpression of circ-BMI1 inhibited proliferation, migration, colony formation of Eca109 cells, and tumor growth of Eca109 cells in nude mice. circ-BMI1 may be a potential target for diagnosis and treatment in esophageal cancer.

This paper selects the data of listed companies on the small and medium board from 2011 to 2018 as a sample, and uses multiple regression analysis to study the impact of the development of digital finance on the level of corporate R&D investment. The research results show that: the higher the degree of digital finance development, the higher the level of R&D investment of enterprises. The article further analyzes the differences in the degree of influence of the three different dimensions of digital finance on the level of R&D investment of enterprises: Among them, the coverage of digital finance has the most significant positive effect on the level of R&D investment, followed by the depth of usage, and the degree of digitization. Based on the research conclusions, this article puts forward suggestions for enhancing corporate innovation capabilities from three perspectives: actively using new financing methods, accurately grasping the impact of digital finance, and categorizing policies to enhance policy pertinence.

This paper selects the data of A-share manufacturing enterprises in 2010-2019 as the sample, and the impact of mixed ownership reforms on the financial flexibility of the state-owned enterprises was studied by double differential methods. The results showed that there were differences in the effects of mixed ownership reform on different types of flexible reserves of enterprises. In the reform, the state-owned enterprises have significantly improved the flexibility in the debt, but the flexibility in cash is significantly reduced. Finally, the article puts forward relevant recommendations for state-owned enterprises based on the above conclusions.

The authenticity of accounting information is related to the issue of corporate credibility, and is increasingly valued by the state. With the development of IT, technologies of the new era have emerged, and these technologies have been gradually applied to the field of accounting and have achieved good responses. Because of the current financial fraud and other problems of enterprises, the article proposes that blockchain technology and ERP system can be used to improve the authenticity of accounting information in preventing tampering and internal control, and gives suggestions on both the enterprise and national levels.

The present study aimed to develop and evaluate a nomogram for predicting the overall survival (OS) of patients with low-grade glioma (LGG).Patients with LGG diagnosed from 1973 to 2013 were identified using the Surveillance, Epidemiology, and End Results (SEER) database. A total of 3732 patients were randomly divided into a training set (n = 2612) and a validation set (n = 1120). Univariate and multivariate Cox regression analyses of the clinical variables were performed to screen for significant prognostic factors. Next, a nomogram that included significant prognostic variables was formulated to predict for LGG. Harrell's concordance index (C-index) and calibration plots were formulated to evaluate the reliability and accuracy of the nomogram using bootstrapping according to the internal (training set) and external (validation set) validity.A nomogram was developed to predict the 5- and 9-year OS rates using 7 variables in the training set: age, tumor site, sex, marital status, histological type, tumor size, and surgery (P0.05). The C-index for internal validation, which the nomogram used to predict OS according to the training set, was 0.777 (range, 0.763-0.791), and the C-index for external validation (validation set) was 0.776 (range, 0.754-0.797). The results of the calibration plots showed that the actual observation and prediction values obtained by the nomogram had good consistency between the 2 sets.We have developed a ready-to-use nomogram model that includes clinical characteristics to predict OS. The nomogram might provide consultation and risk assessments for subsequent treatment of patients with LGG.

In real-time operations, the forecasts and dispatches are associated with the ending time instants of dispatch intervals, while the wind power variations during the interval are unknown. When a high-wind-penetrated system encounters large short-term wind variations, the intrainterval variations (IIVs) of wind power and generation ramping can lead to unsecured operating conditions inside of an interval, referred to as the intrainterval security (IIS) issue. The goal of this study is to reveal the IIS issue under high wind penetration and analyze its impacts. To this end, this study investigates the nature of the IIS problem based on the dispatch interval mechanism, reveals the nonlinearity of wind IIVs as the root cause of the IIS issues (regulation shortage and transmission overloads), and proposes an assessment tool for assessing such issues. The tool screens the worst-case wind IIVs and assesses the issues using severity indices. The tool also considers the spatial correlation among wind farms and demonstrates that the IIS issues still exist under such correlation. Simulations on the IEEE 118-bus system verify the effectiveness of the proposed tool and highlight the IIS risks in power systems with high wind penetration.

Group B Streptococcus (GBS) is a leading cause of neonatal sepsis and an important cause of maternal disease in many countries; however, no accurate population-based epidemiological data on GBS is yet available in mainland China. In this systematic literature review, we obtained published data regarding the maternal GBS colonization rate, incidence of invasive GBS disease in infants, clinical screening, and the associated GBS typing and clinical outcomes in China. The maternal GBS colonization rate in mainland China ranged from 3.7 to 14.52%, and the incidence of invasive GBS disease in infants was 0.55–1.79 per 1000 live births, with a case fatality risk ranging from 6.45 to 7.1%. Serotype III was the dominant serotype that was observed in GBS isolates. GBS detection and identification has become more commonplace, due to the availability of polymerase chain reaction and DNA microarray technologies. Immunizing pregnant women against GBS is an emerging approach through which newborns are protected from GBS. The available data suggest that five GBS serotypes (Ia, Ib, II, III, and V) account for the majority of the cases of GBS disease in mainland China. Furthermore, conjugate vaccines comprising some or all of these serotypes are of potential value in the prevention of GBS infection. Key Words: colonization, group B streptococcus, neonatal infection, serotype distribution, sequence type