171 research outputs found

    Euler Representation-Based Structural Balance Discriminant Projection for Machinery Fault Diagnosis

    No full text
    Fault diagnosis methods are usually sensitive to outliers and it is difficult to obtain and balance global and local discriminant information, which leads to poor separation between classes of low-dimensional discriminant features. For this problem, we propose an Euler representation-based structural balance discriminant projection (ESBDP) algorithm for rotating machine fault diagnosis. First, the method maps the high-dimensional fault features into the Euler representation space through the cosine metric to expand the differences between heterogeneous fault samples while reducing the impact on outliers. Then, four objective functions with different structure and class information are constructed in this space. On the basis of fully mining the geometric structure information of fault data, the local intra-class aggregation and global inter-class separability of the low-dimensional discriminative features are further improved. Finally, we provide an adaptive balance strategy for constructing a unified optimization model of ESBDP, which achieves the elastic balance between global and local features in the projection subspace. The diagnosis performance of the ESBDP algorithm is explored by two machinery fault cases of bearing and gearbox. Encouraging experimental results show that the algorithm can capture effective fault discriminative features and can improve the accuracy of fault diagnosis

    A novel method to quantify misconnected nodes’ reconstruction effects and sewage routing path of drainage system during rainy season

    No full text
    In order to simulate the effects of reconstructing misconnected nodes in the drainage system and quantify sewage routing paths during the rainy season, we have selected a specific region in Fangchenggang City as our study area. All misconnected nodes have been divided into 10 areas based on their respective blocks and streets. COD, NH4+-N, TN, and TP are chosen as evaluation indexes, and we have utilized SWMM for modelling purposes. The results indicate that nodes located upstream within the drainage watershed tend to have a broader influence scope, with a maximum pollutant load reduction rate of 8.6%. However, it is worth noting that the normalization effect could worsen if a reconstruction scheme contains more nodes. Our methodology for calculating the pollutant load reduction rate of pipelines presents a novel approach for quantifying pollutant reduction effects, sewage flow paths, and geographical visualization. This approach has the potential to address the knowledge gap in exploring pollutant transfer routes

    Relationship of close contact settings with transmission and infection during the SARS-CoV-2 Omicron BA.2 epidemic in Shanghai

    No full text
    Introduction We analysed case-contact clusters during the Omicron BA.2 epidemic in Shanghai to assess the risk of infection of contacts in different settings and to evaluate the effect of demographic factors on the association of infectivity and susceptibility to the Omicron variant.Methods Data on the settings and frequency of contact, demographic characteristics and comorbidities of index cases, contacts and secondary cases were analysed. Independent effect of multiple variables on the risk for transmission and infection was evaluated using generalised estimating equations.Results From 1 March to 1 June 2022, we identified 450 770 close contacts of 90 885 index cases. The risk for infection was greater for contacts in farmers’ markets (fixed locations where farmers gather to sell products, adjusted OR (aOR): 3.62; 95% CI 2.87 to 4.55) and households (aOR: 2.68; 95% CI 2.15 to 3.35). Children (0–4 years) and elderly adults (60 years and above) had higher risk for infection and transmission. During the course of the epidemic, the risk for infection and transmission in different age groups initially increased, and then decreased on about 21 April (17th day of citywide home quarantine). Compared with medical workers (reference, aOR: 1.00), unemployed contacts (aOR: 1.77; 95% CI 1.53 to 2.04) and preschoolers (aOR: 1.61; 95% CI 1.26 to 2.05) had the highest risk for infection; delivery workers (aOR: 1.90, 95% CI 1.51 to 2.40) and public service workers (aOR: 1.85; 95% CI 1.64 to 2.10) had the highest risk for transmission. Contacts who had comorbidities (aOR: 1.10; 95% CI 1.09 to 1.12) had a higher risk for infection, particularly those with lung diseases or immune deficiency.Conclusion Farmers’ markets and households were the main setting for transmission of Omicron. Children, the elderly, delivery workers and public service workers had the highest risk for transmission and infection. These findings should be considered when implementing targeted interventions

    TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net

    No full text
    Background: In the past few years, U-Net based U-shaped architecture and skip-connections have made incredible progress in the field of medical image segmentation. U2-Net achieves good performance in computer vision. However, in the medical image segmentation task, U2-Net with over nesting is easy to overfit. Purpose: A 2D network structure TransU2-Net combining transformer and a lighter weight U2-Net is proposed for automatic segmentation of brain tumor magnetic resonance image (MRI). Methods: The light-weight U2-Net architecture not only obtains multi-scale information but also reduces redundant feature extraction. Meanwhile, the transformer block embedded in the stacked convolutional layer obtains more global information; the transformer with skip-connection enhances spatial domain information representation. A new multi-scale feature map fusion strategy as a postprocessing method was proposed for better fusing high and low-dimensional spatial information. Results: Our proposed model TransU2-Net achieves better segmentation results, on the BraTS2021 dataset, our method achieves an average dice coefficient of 88.17%; Evaluation on the publicly available MSD dataset, we perform tumor evaluation, we achieve a dice coefficient of 74.69%; in addition to comparing the TransU2-Net results are compared with previously proposed 2D segmentation methods. Conclusions: We propose an automatic medical image segmentation method combining transformers and U2-Net, which has good performance and is of clinical importance. The experimental results show that the proposed method outperforms other 2D medical image segmentation methods. Clinical Translation Statement: We use the BarTS2021 dataset and the MSD dataset which are publicly available databases. All experiments in this paper are in accordance with medical ethics

    Identification of Rab7 as an autophagy marker: potential therapeutic approaches and the effect of Qi Teng Xiao Zhuo granule in chronic glomerulonephritis

    No full text
    AbstractContext Qi Teng Xiao Zhuo granule (QTXZG) is a traditional Chinese medicine (TCM) used for therapeutic effects on chronic glomerulonephritis (CGN). However, the underlying mechanism remains unclear.Objective To investigate the molecular mechanism of QTXZG on CGN by proteomics.Materials and methods The CGN model was induced in Sprague–Dawley rats by injecting adriamycin (3.5 mg/kg, Day 1; 3.0 mg/kg, Day 14) twice through the tail vein. Urine samples were collected on the 21st day; and the rats divided randomly into control, adriamycin, QTXZG administration groups. Rats in the QTXZG group received QTXZG (10.8 g/kg); control and adriamycin groups were given physiological saline once per day for 30 days. Proteomics was applied to identify the candidate proteins combined with autophagy database and verified by immunofluorescence (IF) and western blots (WB).Results 278 differentially expressed proteins (DEPs) were identified based on proteomics and Rab7 was screened as an autophagy protein biomarker. In vitro cell experiments, we found that QTXZG (20%, IC50 = 23.47%) could decrease the expression of NLRP3, Caspase-1, IL-18, IL-1β, while increasing the expression of Pink1, Parkin, Rab7, Podocalyxin. The cell apoptosis rate increased from 6.68 ± 0.07 to 11.03 ± 0.36%. Overexpression of Rab7 resulted in an increase in autophagy relevant protein expression.Discussion and conclusion TCM CGN-regulating herbs (QTXZG) can exert therapeutic effects by affecting the Rab7/Pink1/Parkin pathway to promote mitochondrial autophagy. New breakthroughs in targeted Rab7 may eventually enable such applications

    Impact of AlphaFold on structure prediction of protein complexes: The CASP15-CAPRI experiment

    Get PDF
    We present the results for CAPRI Round 54, the 5th joint CASP-CAPRI protein assembly prediction challenge. The Round offered 37 targets, including 14 homodimers, 3 homo-trimers, 13 heterodimers including 3 antibody-antigen complexes, and 7 large assemblies. On average similar to 70 CASP and CAPRI predictor groups, including more than 20 automatics servers, submitted models for each target. A total of 21 941 models submitted by these groups and by 15 CAPRI scorer groups were evaluated using the CAPRI model quality measures and the DockQ score consolidating these measures. The prediction performance was quantified by a weighted score based on the number of models of acceptable quality or higher submitted by each group among their five best models. Results show substantial progress achieved across a significant fraction of the 60+ participating groups. High-quality models were produced for about 40% of the targets compared to 8% two years earlier. This remarkable improvement is due to the wide use of the AlphaFold2 and AlphaFold2-Multimer software and the confidence metrics they provide. Notably, expanded sampling of candidate solutions by manipulating these deep learning inference engines, enriching multiple sequence alignments, or integration of advanced modeling tools, enabled top performing groups to exceed the performance of a standard AlphaFold2-Multimer version used as a yard stick. This notwithstanding, performance remained poor for complexes with antibodies and nanobodies, where evolutionary relationships between the binding partners are lacking, and for complexes featuring conformational flexibility, clearly indicating that the prediction of protein complexes remains a challenging problem

    Effects of Fractal Dimension and Soil Erodibility on Soil Quality in an Erodible Region: A Case Study from Karst Mountainous Areas

    No full text
    Soil aggregate stability and soil erodibility (k) are crucial indicators of soil quality that exhibit high sensitivity to changes in soil function. Therefore, it is of great significance to explore the quantitative relationship between these indicators and soil quality for effective ecosystem monitoring and assessment. In this study, soil samples were collected from eight altitude gradients in a karst mountainous area; we analyzed 11 soil physical, chemical, and biological properties, and assessed soil quality using the minimum data set (MDS) method. The results revealed that soil aggregate stability, bulk density (BD), pH, and fungal community diversity exhibited a unimodal altitudinal pattern, whereas the soil organic carbon (SOC), total nitrogen (TN), and C:N ratio showed an increasing trend. Among the factors considered, SOC, BD, soil pH, mechanical composition, and fungal community diversity were found to explain the most variation in soil aggregate stability and soil erodibility (k). Principal component analysis (PCA) identified soil fungal community diversity, C:N ratio, coarse sand, and macro-aggregate (MA) content as highly weighted indicators for MDS. The integrated soil quality index (SQI) values, ranging from 0.30 to 0.62 across the eight altitude gradients, also exhibited a unimodal altitudinal pattern. The analysis indicated a significant linear relationship between the fractal dimension (D) and soil erodibility of the EPIC model (K epic) with SQI, suggesting that D and K epic can serve as alternative indicators for soil quality. These findings further enhance our understanding of the response of soil properties to altitude changes, and provide a novel method for assessing and monitoring soil quality in karst mountainous areas

    Urban expansion and the urban–rural income gap: empirical evidence from China

    Get PDF
    Developing countries tend to exhibit evident urban–rural income divergence as urban areas rapidly expand into adjoining land. However, Western-centric urban theories and studies of spatial inequality have not paid sufficient attention to the connection between income divergence and urban expansion. This paper employed a panel quantile regression model to investigate this relationship in 220 prefecture-level Chinese cities in 2006–2014. To identify potential spatiotemporal effects, we conducted additional robustness checks using the spatial Durbin model and geographical and temporal weighted regression. The results show that a 1 % expansion of urban land decreases the urban–rural income gap by 0.005 % to 0.011 %. This narrowing effect is particularly prominent in the eastern and central regions and in areas that are less urbanized overall. It also varies within regions that have a more pronounced difference between the lowest and highest quantiles in northeastern China and cities with urbanization rates of >50 %. Finally, we find evidence for an inverted U-shaped relationship between urban expansion and the urban–rural income gap. Our results entail suggestions for improved urban–rural development policies aimed toward greater integration and efficiency in urban expansion

    Efficient charge separation of a Z-scheme Bi5O7-delta I/CeO2-delta heterojunction with enhanced visible light photocatalytic activity for NO removal

    No full text
    In this work, a novel Z-scheme Bi5O7-delta I/CeO2-delta heterojunction photocatalyst was prepared by combining hydrothermal synthesis and thermal treatment methods. Oxygen vacancies were in situ generated on the surface of Bi5O7-delta I and CeO2-delta nanostructures. The existence of oxygen vacancies significantly improved the light absorption of CeO2-delta and inhibited the recombination of photogenerated carriers. Based on the photocatalytic activity, the as-prepared Bi5O7-delta I/CeO2-delta photocatalyst exhibited excellent photocatalytic NO removal performance under visible light irradiation. The results of the capture experiment and electron spin resonance (ESR) spectroscopy show that super oxygen radicals (O-2(-)) and hydroxyl radicals (OH) are the main active species in the overall photocatalytic reaction process. Density functional theory (DFT) calculations and ESR results demonstrate that a Z-scheme heterojunction is formed between Bi5O7-delta I and CeO2-delta. Compared with the traditional type-II heterojunction, the Z-scheme heterojunction exhibited more efficient charge separation and robust redox capacity in the photocatalytic reaction

    Comparison between Clinical Utility of CXCL-8 and Clinical Practice Tumor Markers for Colorectal Cancer Diagnosis

    No full text
    Owing to the high incidence and mortality rates of colorectal cancer (CRC), novel biomarkers for CRC diagnosis are critically needed. Therefore, this study is aimed at exploring the clinical utility of serum C-X-C motif chemokine 8 (CXCL-8) for CRC diagnosis and progression compared to the routinely used biomarkers, carcinoembryonic antigen (CEA), and carbohydrate antigen-19-9 (CA19-9). This study included 227 patients with CRC, 110 patients with colorectal adenoma (CA), and 123 healthy participants, who were recruited from the Fujian Medical University Union Hospital from July 1, 2019 to October 31, 2020. Serum concentrations of CXCL-8, CEA, and CA19-9 were detected using enzyme-linked immunosorbent assay and chemiluminescent microparticle immunoassay. Clinicopathological features of patients with CRC were collected and analyzed. The diagnostic efficacy of CXCL-8, CEA, and CA19-9 for CRC was evaluated using receiver operating characteristic (ROC) curves. We found that the serum concentrations of CXCL-8, CEA, and CA19-9 were significantly higher in patients with CRC than those in patients with CA and healthy controls. The diagnostic sensitivity of CXCL-8 alone was higher than those of CEA and CA19-9 both and when combined; thus, CXCL-8 may be better at discriminating patients with CRC from healthy controls and patients with CA. Moreover, combining CXCL-8 with CEA or CA19-9 improved their respective diagnostic performances in distinguishing patients with CRC from CA patients and healthy participants. Notably, we also found that serum concentrations of CXCL-8 were positively correlated with metastases and tumor size. Therefore, our study suggests that serum CXCL-8 may serve as an improved biomarker for CRC diagnosis compared to the traditional tumor markers CEA and CA19-9. Moreover, our findings indicate the potential efficacy of serum CXCL-8 levels as a CRC prognostic biomarker
    corecore