المؤلفون: ZHU Qingdong, LI Longlong, ZHU Mengzhao, ZHU Wenbing, WANG Jian, GU Chao, GU Chaoliang

المصدر: Zhejiang dianli, Vol 43, Iss 1, Pp 117-125 (2024)

مصطلحات موضوعية: uhv transformer, arc discharge, oil tank, bolt, stress, strain, safety check, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

الوصف: Arc discharge caused by short-circuit faults is one of the most serious faults in UHV transformers， with the potential for inducing deformation， rupture， burning， or even explosion of the oil tank. In order to analyze the stress-strain levels induced by arc discharge in transformers， a finite element model for a 1，000 kV single-phase UHV transformer was established. The simulation and analysis focused on the pressure distribution within the oil tank caused by arc discharge at different locations and energy levels. Stress-strain levels in both the oil tank and bolts were calculated， with a comprehensive safety check on their mechanical properties based on material parameters. Additionally， the discharge energy thresholds leading to tank wall rupture or bolt damage were determined. The findings reveal that the maximum stress during arc discharge near the high-voltage winding in the oil tank is located at the corner of the tank wall， and the maximum deformation is observed in the middle of the tank wall along the long axis. Furthermore， the maximum stress during arc discharge inside the lifting seat is concentrated at the support of the elevated seat， with the maximum deformation observed at the turning point of the elevated seat.

وصف الملف: electronic resource

العلاقة: https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=b07dd767-580e-410a-b1c8-327803abe1c2Test; https://doaj.org/toc/1007-1881Test

الوصول الحر: https://doaj.org/article/80661c316c4b4ca2a508d61cf68ce92fTest

المؤلفون: Liu, Aimei, Liu, Sang, Lv, Kangyan, Zhu, Qingdong, Wen, Jun, Li, Jianpeng, Liang, Chengyuan, Huang, Xuegang, Gong, Chunming, Sun, Qingfeng, Gu, Hongcang

المصدر: Frontiers in Microbiology ; volume 15 ; ISSN 1664-302X

مصطلحات موضوعية: Microbiology (medical), Microbiology

الوصف: Background Resistance to anti-tuberculous drugs is a major challenge in the treatment of tuberculosis (TB). We aimed to evaluate the clinical availability of nanopore-based targeted next-generation sequencing (NanoTNGS) for the diagnosis of drug-resistant tuberculosis (DR-TB). Methods This study enrolled 253 patients with suspected DR-TB from six hospitals. The diagnostic efficacy of NanoTNGS for detecting Mycobacterium tuberculosis and its susceptibility or resistance to first- and second-line anti-tuberculosis drugs was assessed by comparing conventional phenotypic drug susceptibility testing (pDST) and Xpert MTB/RIF assays. NanoTNGS can be performed within 12 hours from DNA extraction to the result delivery. Results NanoTNGS showed a remarkable concordance rate of 99.44% (179/180) with the culture assay for identifying the Mycobacterium tuberculosis complex. The sensitivity of NanoTNGS for detecting drug resistance was 93.53% for rifampicin, 89.72% for isoniazid, 85.45% for ethambutol, 74.00% for streptomycin, and 88.89% for fluoroquinolones. Specificities ranged from 83.33% to 100% for all drugs tested. Sensitivity for rifampicin-resistant tuberculosis using NanoTNGS increased by 9.73% compared to Xpert MTB/RIF. The most common mutations were S531L (codon in E. coli) in the rpoB gene, S315T in the katG gene, and M306V in the embB gene, conferring resistance to rifampicin, isoniazid, and ethambutol, respectively. In addition, mutations in the pncA gene, potentially contributing to pyrazinamide resistance, were detected in 32 patients. Other prevalent variants, including D94G in the gyrA gene and K43R in the rpsL gene, conferred resistance to fluoroquinolones and streptomycin, respectively. Furthermore, the rv0678 R94Q mutation was detected in one sample, indicating potential resistance to bedaquiline. Conclusion NanoTNGS rapidly and accurately identifies resistance or susceptibility to anti-TB drugs, outperforming traditional methods. Clinical implementation of the technique can recognize DR-TB in time and ...

الإتاحة: https://doi.org/10.3389/fmicb.2024.1349715Test

المؤلفون: Xie, Zhouhua, Huang, Jinping, Li, Yanjun, Zhu, Qingdong, Huang, Xianzhen, Chen, Jieling, Wei, Cailing, Luo, Shunda, Yang, Shixiong, Gao, Jiamin

المساهمون: Natural Science Foundation of Guangxi Province of China, The Health Commission of Guangxi Zhuang Autonomous Region Natural Science Project, The Health Commission of Guangxi Zhuang Autonomous Region Self-funded Project

المصدر: Scientific Reports ; volume 13, issue 1 ; ISSN 2045-2322

مصطلحات موضوعية: Multidisciplinary

الوصف: Hepatocellular carcinoma (HCC) is a solid tumor prone to chemotherapy resistance, and combined immunotherapy is expected to bring a breakthrough in HCC treatment. However, the tumor and tumor microenvironment (TME) of HCC is highly complex and heterogeneous, and there are still many unknowns regarding tumor cell stemness and metabolic reprogramming in HCC. In this study, we combined single-cell RNA sequencing data from 27 HCC tumor tissues and 4 adjacent non-tumor tissues, and bulk RNA sequencing data from 374 of the Cancer Genome Atlas (TCGA)-liver hepatocellular carcinoma (LIHC) samples to construct a global single-cell landscape atlas of HCC. We analyzed the enrichment of signaling pathways of different cells in HCC, and identified the developmental trajectories of cell subpopulations in the TME using pseudotime analysis. Subsequently, we performed transcription factors regulating different subpopulations and gene regulatory network analysis, respectively. In addition, we estimated the stemness index of tumor cells and analyzed the intercellular communication between tumors and key TME cell clusters. We identified novel HCC cell clusters that specifically express HP (HCC_HP), which may lead to higher tumor differentiation and tumor heterogeneity. In addition, we found that the HP gene expression-positive neutrophil cluster (Neu_AIF1) had extensive and strong intercellular communication with HCC cells, tumor endothelial cells (TEC) and cancer-associated fibroblasts (CAF), suggesting that clearance of this new cluster may inhibit HCC progression. Furthermore, ErbB signaling pathway and GnRH signaling pathway were found to be upregulated in almost all HCC tumor-associated stromal cells and immune cells, except NKT cells. Moreover, the high intercellular communication between HCC and HSPA1-positive TME cells suggests that the immune microenvironment may be reprogrammed. In summary, our present study depicted the single-cell landscape heterogeneity of human HCC, identified new cell clusters in tumor cells ...

الإتاحة: https://doi.org/10.1038/s41598-023-46132-wTest
https://www.nature.com/articles/s41598-023-46132-w.pdfTest
https://www.nature.com/articles/s41598-023-46132-wTest

المؤلفون: Gu, Zhaoliang, Gu, Chao, Li, Zhen, Zhu, Wenbing, Zhu, Qingdong, Li, Longlong, Wang, Jian, Wang, Haozhe

المصدر: Journal of Physics: Conference Series ; volume 2564, issue 1, page 012053 ; ISSN 1742-6588 1742-6596

الوصف: The oil-immersed shunt reactor is one of the most important reactive power compensation equipment in the ultra-high voltage (UHV) long-distance transmission and transformation system, which can solve the problem of large power and long-distance transmission that makes the capacitance effect of transmission lines obvious. At present, the commonly used state evaluation methods for UHV oil-immersed shunt reactors are mostly based on a certain factor or several factors to make judgments, without a comprehensive consideration of the overall operating condition information of the shunt reactors. There are various uncertainties in the process of fault diagnosis and state evaluation of the shunt reactors, and the accuracy and timeliness of the diagnosis results are poor. To solve the above problems, this paper combines the key characteristic parameters of oil immersed shunt reactor, such as vibration, chromatography, partial discharge, and oil temperature, and establishes a comprehensive evaluation method for the operating state of oil immersed shunt reactor based on Gaussian Cloud Model (GCM), and verifies its effectiveness through test data, whose R 2 over 0.98. The test data show that this method can effectively judge the operation state of the UHV oil-immersed shunt reactor, which accuracy rate of state diagnosis is over 91%. The results of this paper can provide technical support for the application of UHV oil-immersed shunt reactor state assessment and diagnosis, and further improve the level of equipment operation and maintenance.

الإتاحة: https://doi.org/10.1088/1742-6596/2564/1/012053Test

المؤلفون: Gu, Zhaoliang, Zhu, Wenbing, Zhu, Mengzhao, Li, Longlong, Zhu, Qingdong, Wang, Jian, Wang, Haozhe

المصدر: Journal of Physics: Conference Series ; volume 2564, issue 1, page 012052 ; ISSN 1742-6588 1742-6596

الوصف: The special multi-air gap structure of Ultra high voltage (UHV) oil-immersed shunt reactor determines that its magnetic leakage is far greater than that of a power transformer of the same voltage level, and it is more prone to vibration and other problems. Overheating and suspended discharge caused by vibration are important sources of excessive gas production in UHV shunt reactors. In this paper, the source of gas production under reactor vibration is analyzed, and a reactor defect simulation gas production platform is built. Using oil chromatography analysis, partial discharge detection, and other means, the gas production characteristics, discharge characteristics and insulation degradation characteristics of typical defects such as suspended discharge and partial overheating under vibration have been experimentally studied. Then, the correlation analysis model between the vibration type, intensity, overheating degree, and the reactor performance change was established. Finally, the gas production and discharge characteristics of the reactor under different defect types were obtained. Besides, gas production characteristics under vibration with 50 Hz, 100 Hz, and 150 Hz were carried out, and it was found that the gas will continue to increase with the increase of vibration frequency, and the growth has been stabilized after exceeding 100 Hz. The relevant research results of this paper can provide technical support for the application of UHV oil-immersed shunt reactor state assessment and diagnosis, and improve the level of equipment operation and maintenance.

الإتاحة: https://doi.org/10.1088/1742-6596/2564/1/012052Test

المؤلفون: Li, Sijun, Long, Qian, Nong, Lanwei, Zheng, Yanqing, Meng, Xiayan, Zhu, Qingdong

المصدر: Frontiers in Immunology ; volume 14 ; ISSN 1664-3224

مصطلحات موضوعية: Immunology, Immunology and Allergy

الوصف: Background Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb) infection. Cuproptosis is a novel cell death mechanism correlated with various diseases. This study sought to elucidate the role of cuproptosis-related genes (CRGs) in TB. Methods Based on the GSE83456 dataset, we analyzed the expression profiles of CRGs and immune cell infiltration in TB. Based on CRGs, the molecular clusters and related immune cell infiltration were explored using 92 TB samples. The Weighted Gene Co-expression Network Analysis (WGCNA) algorithm was utilized to identify the co-expression modules and cluster-specific differentially expressed genes. Subsequently, the optimal machine learning model was determined by comparing the performance of the random forest (RF), support vector machine (SVM), generalized linear model (GLM), and eXtreme Gradient Boosting (XGB). The predictive performance of the machine learning model was assessed by generating calibration curves and decision curve analysis and validated in an external dataset. Results 11 CRGs were identified as differentially expressed cuproptosis genes. Significant differences in immune cells were observed in TB patients. Two cuproptosis-related molecular clusters expressed genes were identified. Distinct clusters were identified based on the differential expression of CRGs and immune cells. Besides, significant differences in biological functions and pathway activities were observed between the two clusters. A nomogram was generated to facilitate clinical implementation. Next, calibration curves were generated, and decision curve analysis was conducted to validate the accuracy of our model in predicting TB subtypes. XGB machine learning model yielded the best performance in distinguishing TB patients with different clusters. The top five genes from the XGB model were selected as predictor genes. The XGB model exhibited satisfactory performance during validation in an external dataset. Further analysis revealed that these five model-related genes ...

الإتاحة: https://doi.org/10.3389/fimmu.2023.1205741Test

المؤلفون: Zhu, Qingdong, Han, Yading, Yang, Wentao, Zhu, Hang, Li, Guangtong, Xu, Ke, Long, Mingxin

المصدر: Frontiers in Genetics ; volume 14 ; ISSN 1664-8021

مصطلحات موضوعية: Genetics (clinical), Genetics, Molecular Medicine

الوصف: The SlADH gene plays a key role in environmental stress response. However, limited studies exist regarding the tomato SlADH gene. In this study, we identified 35 SlADH genes in tomato by genome-wide identification. Among the 12 chromosomes of tomato, SlADH gene is distributed on 10 chromosomes, among which the 7th and 10th chromosomes have no family members, while the 11th chromosome has the most members with 8 family members. Members of this gene family are characterized by long coding sequences, few amino acids, and introns that make up a large proportion of the genetic structure of most members of this family. Moreover, the molecular weight of the proteins of the family members was similar, and the basic proteins were mostly, and the overall distribution was relatively close to neutral (pI = 7). This may indicate that proteins in this family have a more conserved function. In addition, a total of four classes of cis-acting elements were detected in all 35 SlADH promoter regions, most of which were associated with biotic and abiotic stresses. The results indicate that SlADH gene had a certain response to cold stress, salt stress, ABA treatment and PEG stress. This study provides a new candidate gene for improving tomato stress resistance.

الإتاحة: https://doi.org/10.3389/fgene.2023.1186192Test

المؤلفون: Qin, Jianglong, Nong, Lanwei, Zhu, Qingdong, Huang, Zhizhong, Wu, Fengyao, Li, Sijun

المصدر: Neurology & Therapy; Jun2024, Vol. 13 Issue 3, p763-784, 22p

المؤلفون: Song, Chang, Zhao, Chunyan, Nong, Yingxing, Lin, Yanrong, Huang, Aichun, Xi, Shanyong, Wei, Xiaoying, Zeng, Chunmei, Qin, Yaqin, Zhu, Qingdong

المصدر: Diagn Microbiol Infect Dis ; ISSN:1879-0070 ; Volume:110 ; Issue:1

مصطلحات موضوعية: Diabetes Mellitus, Diagnostic Efficacy, Nanopore Sequencing, Pulmonary Tuberculosis, Third-Generation Sequencing

الوصف: To explore the diagnostic value of third-generation nanopore sequencing technology in patients with diabetes mellitus suspected of pulmonary tuberculosis.

العلاقة: https://doi.org/10.1016/j.diagmicrobio.2024.116392Test; https://pubmed.ncbi.nlm.nih.gov/38875895Test

الإتاحة: https://doi.org/10.1016/j.diagmicrobio.2024.116392Test
https://pubmed.ncbi.nlm.nih.gov/38875895Test

المؤلفون: Zhu, Qingdong, Zhang, Yuwei, Xia, Fei

الوصف: Coarse-grained (CG) models have been widely employed in simulating the functionality of complex systems due to their lower computational demand, and the accuracy of their simulation outcomes critically depends on their parameters. In the previous study, we developed a general CG potential matching method called the Lennard-Jones Static Potential Matching (LJSPM) method for Lennard-Jones (LJ) interactions, which enables users to derive inter-system transferable LJ parameters efficiently by using only one arbitrary molecular structure. The LJSPM offers a significant means for developing physical-based non-bonded interaction parameters in CG models. However, previous results show that LJSPM generally underestimates LJ repulsive contributions, which leads to mismatching of the CG and AA LJ potential energy surfaces for short-ranged non-bonded pairs. In this work, a physical-based, general, and efficient method named the effective volume correction (EVC) is proposed to fulfill the underestimated short-ranged LJ exclusion effects for CG-LJ parameters matched by the LJSPM method. This new EVC-based LJSPM method can accurately reproduce density, the rational distribution function, and the solvation free energy of small organic molecules including alkanes, alcohols, and amines. This indicates that the EVC-based LJSPM method exhibits good transferability for the development of CG models in small molecules.

الإتاحة: https://doi.org/10.26434/chemrxiv-2024-gcmnnTest
https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/660d045a21291e5d1df1dde8/original/effective-volume-correction-for-lennard-jones-static-potential-matching-on-coarse-graining-small-molecules.pdfTest