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53篇 您的检索式:作者名="ZHENG SiYu"
    题名 作者 年代 出处 被引量
1Functional exhaustion of antiviral lymphocytes in COVID-19 patients显示文摘In December 2019,a novel coronavirus was first reported in Wuhan,China.1 It was named by the World Health Organization as severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and is responsible for coronavirus disease 2019(COVID-19).Up to 28 February 2020,79,394 cases have been confirmed according to China’s National Health Commission.Outside China,the virus has spread rapidly to over 36 countries and territories.Yuanhong Xuand Zhigang Tian Meijuan Zheng Yong Gao Gang Wang Guobin Song Siyu Liu Dandan Sun Yuanhong Xu Zhigang Tian 2020Cellular & Molecular Immunology2020,17,5:54
2Complement 5a receptor-mediated neutrophil dysfunction is associated with a poor outcome in sepsis显示文摘补充 5a (C5a ) 被导致 neutrophils 的功能的缺陷在败血的致病含有;然而, C5a 受体的用途(C5aRs;C5aR 和 C5L2 ) 因为为败血的管理的 biomarkers 是不明确的。这研究在嗜中性的功能上在 neutrophils 和他们的效果上调查了 C5aR 和 C5L2 的动态表示。我们发现败血病人与健康、全身的煽动性的反应相比在 neutrophils 上显示了 C5aR 和 C5L2 的低表示层次症候群(先生) 题目,和这个表示模式与疾病严厉被相关。另外, C5aR 和 C5L2 的表示层次与败血病人的幸存被联系。在 vitro, C5a 的增加显著地从败血病人在 neutrophils 减少了 C5aR 和 C5L2 表示层次和 IL-8 生产。那些调查结果建议 C5aRs 的减少的表示为败血病人与 neutrophils 和差的预后的功能的缺陷被联系。总的来说,这些调查结果可以帮助作为早标记建立 C5aRs 表示层次预言败血的严厉。Ruonan Xu Fang Lin Chunmei Bao Huihuang Huang Chengcheng Ji Siyu Wang Lei Jin Lijian Sun Ke Li Zheng Zhang Fu-Sheng Wang 2016Cellular & Molecular Immunology2016,13,1:10
3Surveillance of Noise Exposure Level in the Manufacturing Industry—China,2020显示文摘Introduction:Occupational noise exposure is a widespread issue in the manufacturing industry in China.Since 2019,the National Surveillance System for Occupational Hazards in the workplace was established to understand different occupational hazards,especially occupational noise,in workplaces in China.Methods:Both environmental and individual noise exposure levels were measured for 19,378 enterprises according to the Work Plan for Surveillance of Occupational Hazards in the Workplace(2020)issued by National Health Commission of the People’s Republic of China.Median and interquartile range(IQR)were calculated to describe the distribution of the noise exposure level by industry classification,enterprise-scale,and ownership type of the enterprise.Results:Overall,25.14%of the individual noise exposure samples exceeded the Chinese national standard among the selected enterprises.The overall median of environmental noise exposure level was 82.8 dB(A)in selected enterprises,while the median of individual noise exposure level was 81.3 dB(A).The individual noise exposure level in the manufacture of metal products,manufacture of motor vehicles,minisized enterprises,collective enterprises and private enterprises was relatively high.Conclusion:Occupational noise is still one of the occupational hazards that cannot be ignored in the manufacturing industry,especially in mini-sized and private enterprises.The risk of noise exposure in the target industry is still high and will pose a threat to the health of workers.Jinnan Zheng Siyu Zhang Hongfei Wang Yue Yu Weijiang Hu 2021China CDC weekly2021,3,43:9
4Room temperature ferromagnetism in ultra-thin van der Waals crystals of 1T-CrTe2显示文摘Although many emerging new phenomena have been unraveled in two dimensional(2D)materials with long-range spin orderings,the usually low critical temperature in van der Waals(vdW)magnetic material has thus far hindered the related practical applications.Here,we show that ferromagnetism can hold above 300 K in a metallic phase of 1T-CrTe2 down to the ultra-thin limit.It thus makes CrTe2 so far the only known exfoliated ultra-thin vdW magnets with intrinsic long-range magnetic ordering above room temperature.An in-plane room-temperature negative anisotropic magnetoresistance(AMR)was obtained in ultra-thin CrTe2 devices,with a sign change in the AMR at lower temperature,with−0.6%and+5%at 300 and 10 K,respectively.Our findings provide insights into magnetism in ultra-thin CrTe2,expanding the vdW crystals toolbox for future room-temperature spintronic applications.Xingdan Sun Wanying Li Xiao Wang Qi Sui Tongyao Zhang Zhi Wang Long Liu Da Li Shun Feng Siyu Zhong Hanwen Wang Vincent Bouchiat Manuel Nunez Regueiro Nicolas Rougemaille Johann Coraux Anike Purbawati Abdellali Hadj-Azzem Zhenhua Wang Baojuan Dong Xing Wu Teng Yang Guoqiang Yu Bingwu Wang Zheng Han Xiufeng Han Zhidong Zhang 2020Nano Research2020,13,12:6
5High levels of circulating GM-CSF^(+) CD4^(+) T cells are predictive of poor outcomes in sepsis patients: a prospective cohort study显示文摘Granulocyte colony-stimulating factor(GM-CSF),produced by CD4^(+)T cells,has recently been implicated in the pathogenesis of inflammatory diseases,such as multiple sclerosis and juvenile arthritis.However,the role of GM-CSF-producing CD4^(+)T cells in sepsis remains unknown.This study reports peripheral changes in GM-CSF-producing CD4^(+)T cells in septic patients and the possible underlying mechanism by which GM-CSF influences the outcome of sepsis.Forty-three septic patients,20 SIRS patients,and 20 healthy controls were enrolled in this study and followed for 28 days to assess mortality.We measured the peripheral frequency of GM-CSF^(+)CD4^(+)T cells and recorded their associated relationship with disease progression.Our data demonstrated that peripheral GM-CSF-producing CD4^(+)T cells were significantly higher in septic patients than in both SIRS patients and healthy controls.These cells exhibit a memory phenotype and impaired IFN-γ-secreting capacity in sepsis patients.Using a receiver operating curve analysis with 8.01%as a cut-off point,the percentage of GM-CSF^(+)CD4^(+)T cells could predict the outcome of septic patients.Combined with the increase in GM-CSF-producing CD4^(+)T cells,inflammatory cytokines IL-1βand IL-6 were also upregulated.Using an in vitro neutrophil model,we found that GM-CSF inhibited C3aR expression,while inducing IL-8 production.Furthermore,this effect was transferrable in plasma from sepsis patients and was attenuated by inhibition of GM-CSF using an anti-GM-CSF antibody.These results indicate that GM-CSF-producing CD4^(+)T cells may serve as a marker of sepsis severity.Thus,targeting GM-CSF overproduction may benefit sepsis patients.Huihuang Huang Siyu Wang Tianjun Jiang Rong Fan Zheng Zhang Jinsong Mu Ke Li Yonggang Wang Lei Jin Fang Lin Jie Xia Lijian Sun Biao Xu Chengcheng Ji Jing Chen Juan Chang Bo Tu Bing Song Chao Zhang Fu-Sheng Wang Ruonan Xu 2019Cellular & Molecular Immunology2019,16,6:6
6A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars显示文摘Ziyi Liu Siyu Yu Nanning Zheng 2018Engineering2018,4,4:5
7Nanoenzyme engineered neutrophil-derived exosomes attenuate joint injury in advanced rheumatoid arthritis via regulating inflammatory environment显示文摘Rheumatoid arthritis(RA)is a chronic inflammatory disease characterized by synovitis and destruction of cartilage,promoted by sustained inflammation.However,current treatments remain unsatisfactory due to lacking of selective and effective strategies for alleviating inflammatory environments in RA joint.Inspired by neutrophil chemotaxis for inflammatory region,we therefore developed neutrophil-derived exosomes functionalized with sub-5 nm ultrasmall Prussian blue nanoparticles(uPB-Exo)via click chemistry,inheriting neutrophil-targeted biological molecules and owning excellent anti-inflammatory properties.uPB-Exo can selectively accumulate in activated fibroblast-like synoviocytes,subsequently neutralizing pro-inflammatory factors,scavenging reactive oxygen species,and alleviating inflammatory stress.In addition,uPB-Exo effectively targeted to inflammatory synovitis,penetrated deeply into the cartilage and real-time visualized inflamed joint through MRI system,leading to precise diagnosis of RA in vivo with high sensitivity and specificity.Particularly,uPB-Exo induced a cascade of anti-inflammatory events via Th17/Treg cell balance regulation,thereby significantly ameliorating joint damage.Therefore,nanoenzyme functionalized exosomes hold the great potential for enhanced treatment of RA in clinic.Lei Zhang Ziguo Qin Han Sun Xiang Chen Jian Dong Siyu Shen Liming Zheng Ning Gu Qing Jiang 2022Bioactive Materials2022,7,12:4
8Flow characteristics of tangential leakage in a scroll compressor for automobile heat pump with CO_(2)显示文摘Tangential leakage loss reduction has great significance on improving the performance of scroll compressors.In this study,the flow field of a scroll compressor working with CO_(2) was numerically investigated.The development characteristics of the tangential leakage flow in different working chambers were carried out,which was obtained by analyzing the field quantities distributions.The impacts of the radial clearances and sidewall roughness on the tangential leakage were also taken into consideration,in order to explore the feasible method of the flow control for the tangential leakage in scroll compressors.Results showed that the tangential leakage flow had various characteristics in the suction and compression chambers due to the different interactions between the tangential leakage flow and mainstream.Owing to little reverse pressure gradient,the tangential leakage flow maintained the typical jet form in the suction chambers.By contrast,the mixing of the tangential leakage flow and mainstream induced the passage vortex and secondary flows in the compression chamber.The secondary flow was the primary factor that results in the occurrence of localized high temperature region rather than the tangential leakage.With the increase of the radial clearance,the volumetric efficiency declined and the discharge temperature increased rapidly.In terms of flow control of the tangential leakage,the increase of sidewall roughness by 2μm could achieve the same effect as the decrease of the radial clearance by 4μm,while the volumetric efficiency increased by almost 5%and average discharge temperature decreased by 5K.ZHENG SiYu WEI MingShan HU ChenXing SONG PanPan TIAN Ran 2021Science China(Technological Sciences)2021,64,5:4
9Operando HERFD-XANES and surface sensitive Δμ analyses identify the structural evolution of copper(Ⅱ) phthalocyanine for electroreduction of CO_(2)显示文摘The quantitative understanding of how atomic-level catalyst structural changes affect the reactivity of the electrochemical CO_(2)reduction reaction is challenging.Due to the complexity of catalytic systems,conventional in situ X-ray spectroscopy plays a limited role in tracing the underlying dynamic structural changes in catalysts active sites.Herein,operando high-energy resolution fluorescence-detected X-ray absorption spectroscopy was used to precisely identify the dynamic structural transformation of well-defined active sites of a representative model copper(Ⅱ)phthalocyanine catalyst which is of guiding significance in studying single-atom catalysis system.Comprehensive X-ray spectroscopy analyses,including surface sensitive△μspectra which isolates the surface changes by subtracting the disturb of bulk base and X-ray absorption near-edge structure spectroscopy simulation,were used to discover that Cu species aggregated with increasing applied potential,which is responsible for the observed evolution of C_(2)H_(4).The approach developed in this work,characterizing the active-site geometry and dynamic structural change,is a novel and powerful technique to elucidate complex catalytic mechanisms and is expected to con tribute to the rational design of highly effective catalysts.Bingbao Mei Cong Liu Ji Li Songqi Gu Xianlong Du Siyu Lu Fei Song Weilin Xu Zheng Jiang 2022Journal of Energy Chemistry2022,31,1:3
10Two-step machine learning enables optimized nanoparticle synthesis显示文摘In materials science,the discovery of recipes that yield nanomaterials with defined optical properties is costly and time-consuming.In this study,we present a two-step framework for a machine learning-driven high-throughput microfluidic platform to rapidly produce silver nanoparticles with the desired absorbance spectrum.Combining a Gaussian process-based Bayesian optimization(BO)with a deep neural network(DNN),the algorithmic framework is able to converge towards the target spectrum after sampling 120 conditions.Once the dataset is large enough to train the DNN with sufficient accuracy in the region of the target spectrum,the DNN is used to predict the colour palette accessible with the reaction synthesis.While remaining interpretable by humans,the proposed framework efficiently optimizes the nanomaterial synthesis and can extract fundamental knowledge of the relationship between chemical composition and optical properties,such as the role of each reactant on the shape and amplitude of the absorbance spectrum.Flore Mekki-Berrada Zekun Ren Tan Huang Wai Kuan Wong Fang Zheng Jiaxun Xie Isaac Parker Siyu Tian Senthilnath Jayavelu Zackaria Mahfoud Daniil Bash Kedar Hippalgaonkar Saif Khan Tonio Buonassisi Qianxiao Li Xiaonan Wang 2021npj Computational Materials2021,,1:3
11Regulating closed pore structure enables significantly improved sodium storage for hard carbon pyrolyzing at relatively low temperature显示文摘The closed pore has been considered as the key structure for Na ion storage in hard carbon.However,the traditional view is that closed pores can only be formed by the curling of graphite-like crystallites in the case of high temperature carbonization.Ingenious designing of closed pore structures at lower temperature is still blank.Herein,for the first time,engineering the wall thickness and number of closed pores in waste rosewood-derived hard carbon was successfully achieved at a low temperature of 1100℃ by removing the lignin and hemicellulose components in wood precursor.When applied as an anode material,the optimum sample exhibits a high capacity of 326 mAh/g at 20 mA/g and a remarkable rate capability of 230mAh/g at 5000 mA/g,significantly higher than those of the untreated sample(only 33 mAh/g at 5000 mA/g).The significantly improved Na storage performance should be attributed to abundant closed pores that provide sufficient spaces forNa storage and thin porewall structure that is beneficial to the diffusion of Na^(+)in the bulk phase.This work provides a new idea for the future application of biomass-based hard carbon for advanced Na ion batteries.Siyu Zhou Zheng Tang Zhiyi Pan Yuancheng Huang Le Zhao Xi Zhang Dan Sun Yougen Tang Abdelghaffar S.Dhmees Haiyan Wang 2022SusMat2022,2,3:2
12SSR markers development and their application in genetic diversity evaluation of garlic(Allium sativum)germplasm显示文摘Garlic(Allium sativum),an asexually propagated vegetable and medicinal crop,has abundant genetic variation.Genetic diversity evaluation based on molecular markers has apparent advantages since their genomic abundance,environment insensitivity,and non-tissue specific features.However,the limited number of available DNA markers,especially SSR markers,are insufficient to conduct related genetic diversity assessment studies in garlic.In this study,4372 EST-SSR markers were newly developed,and 12 polymorphic markers together with other 17 garlic SSR markers were used to assess the genetic diversity and population structure of 127 garlic accessions.The averaged polymorphism information content(PIC)of these 29 SSR markers was 0.36,ranging from 0.22 to 0.49.Seventy-nine polymorphic loci were detected among these accessions,with an average of 3.48 polymorphic loci per SSR.Both the clustering analyses based on either the genotype data of SSR markers or the phenotypic data of morphological traits obtained genetic distance divided the 127 garlic accessions into three clusters.Moreover,the Mantel test showed that genetic distance had no significant correlations with geographic distance,and weak correlations were found between genetic distance and the phenotypic traits.AMOVA analysis showed that the main genetic variation of this garlic germplasm collection existed in the within-population or cluster.Results of this study will be of great value for the genetic/breeding studies in garlic and enhance the utilization of these garlic germplasms.Xiaxia Li Lijun Qiao Birong Chen Yujie Zheng Chengchen Zhi Siyu Zhang Yupeng Pan Zhihui Cheng 2022Plant Diversity2022,44,5:2
13Towards carbon neutrality:A study on China's long-term low-carbon transition pathways and strategies显示文摘As the world's biggest carbon dioxide(CO_(2))emitter and the largest developing country,China faces daunting challenges to peak its emissions before 2030 and achieve carbon neutrality within 40 years.This study fully considered the carbon-neutrality goal and the temperature rise constraints required by the Paris Agreement,by developing six long-term development scenarios,and conducting a quantitative evaluation on the carbon emissions pathways,energy transformation,technology,policy and investment demand for each scenario.This study combined both bottom-up and top-down methodologies,including simulations and analyses of energy consumption of end-use and power sectors(bottom-up),as well as scenario analysis,investment demand and technology evaluation at the macro level(top-down).This study demonstrates that achieving carbon neutrality before 2060 translates to significant efforts and overwhelming challenges for China.To comply with the target,a high rate of an average annual reduction of CO_(2) emissions by 9.3%from 2030 to 2050 is a necessity,which requires a huge investment demand.For example,in the 1.5℃ scenario,an investment in energy infrastructure alone equivalent to 2.6%of that year's GDP will be necessary.The technological pathway towards carbon neutrality will rely highly on both conventional emission reduction technologies and breakthrough technologies.China needs to balance a long-term development strategy of lower greenhouse gas emissions that meets both the Paris Agreement and the long-term goals for domestic economic and social development,with a phased implementation for both its five-year and long-term plans.Jiankun He Zheng Li Xiliang Zhang Hailin Wang Wenjuan Dong Ershun Du Shiyan Chang Xunmin Ou Siyue Guo Zhiyu Tian Alun Gu Fei Teng Bin Hu Xiu Yang Siyuan Chen Mingtao Yao Zhiyi Yuan Li Zhou Xiaofan Zhao Ying Li Danwei Zhang 2022Environmental Science and Ecotechnology2022,,1:2
14The ChinaMAP reference panel for the accurate genotypeimputation in Chinese populations显示文摘Dear Editor,The genotype imputation is an efficient and pivotal approach to estimate the unobserved genotypes in the genomic data from the single nucleotide polymorphism(SNP)genotyping arrays or whole-genome sequencing(WGS).The fine mapping of variants in the genome-wide association study(GWAS)could be critically improved by the imputation with an optimal reference panel based on the population-specific haplotypes.Lin Li Peide Huang Xiaohui Sun Siyu Wang Min Xu Sha Liu Zhimin Feng Qing Zhang Xiaoji Wang Xiaole Zheng Mengyao Dai Yufang Bi Guang Ning Yanan Cao Weiqing Wang 2021Cell Research2021,31,12:2
15High-density lipoprotein nitration and chlorination catalyzed by myeloperoxidase impair its effect of promoting endothelial repair显示文摘Bing Pan Baoqi Yu Hui Ren Belinda Willard Ling Pan Lingyun Zu Xiaoli Shen Yijing Ma Xiuli Li Chenguang Niu Jinge Kong Siyu Kang Y. Eugene Chen Subramaniam Pennathur Lemin Zheng 2013Free Radical Biology and Medicine2013,,:1
16Improving the Initial Coulombic Efficiency of Carbonaceous Materials for Li/Na‑Ion Batteries:Origins,Solutions,and Perspectives显示文摘Carbonaceous materials for lithium(Li)/sodium(Na)-ion batteries have attracted significant attention because of their widespread availability,renewable nature,and low cost.During the past decades,although great efforts have been devoted to developing high-performance carbonaceous materials with high capacity,long life span,and excellent rate capability,the low initial Coulombic efficiency(ICE)of high-capacity carbonaceous materials seriously limits their practical applications.Various methods have been successfully exploited,and a revolutionary impact has been achieved through the utilization of different techniques.Different carbonaceous materials possess different ion storage mechanisms,which means that the initial capacity loss may vary.However,there has rarely been a special review about the origins of and progress in the ICE for carbonaceous materials from the angle of the crystal structure.Hence,in this review,the structural differences between and ion storage mechanisms of various carbonaceous materials are first introduced.Then,we deduce the correlative factors of low ICE and thereafter summarize the proposed strategies to address these issues.Finally,some challenges,perspectives,and future directions on the ICE of carbonaceous materials are given.This review will provide deep insights into the challenges of improving the ICE of carbonaceous anodes for high-energy Li/Na-ion batteries,which will greatly contribute to their commercialization process.Zheng Tang Siyu Zhou Yuancheng Huang Hong Wang Rui Zhang Qi Wang Dan Sun Yougen Tang Haiyan Wang 2023Electrochemical Energy Reviews2023,6,1:1
17Spatial multi-scaled chimera states of cerebral cortex network and its inherent structure-dynamics relationship in human brain显示文摘Human cerebral cortex displays various dynamics patterns under different states,however the mechanism how such diverse patterns can be supported by the underlying brain network is still not well understood.Human brain has a unique network structure with different regions of interesting to perform cognitive tasks.Using coupled neural mass oscillators on human cortical network and paying attention to both global and local regions,we observe a new feature of chimera states with multiple spatial scales and a positive correlation between the synchronization preference of local region and the degree of symmetry of the connectivity of the region in the network.Further,we use the concept of effective symmetry in the network to build structural and dynamical hierarchical trees and find close matching between them.These results help to explain the multiple brain rhythms observed in experiments and suggest a generic principle for complex brain network as a structure substrate to support diverse functional patterns.Siyu Huo Changhai Tian Muhua Zheng Shuguang Guan Changsong Zhou Zonghua Liu 2021National Science Review2021,8,1:1
18A Novel Method of Gene Regulatory Network Structure Inference from Gene Knock-Out Expression Data显示文摘Inferring Gene Regulatory Networks(GRNs) structure from gene expression data has been a challenging problem in systems biology. It is critical to identify complicated regulatory relationships among genes for understanding regulatory mechanisms in cells. Various methods based on information theory have been developed to infer GRNs. However, these methods introduce many redundant regulatory relationships in the network inference process due to external noise in the original data, topology sparseness in the network structure, and non-linear dependency among genes. Especially as the network size increases, the performance of these methods decreases dramatically. In this paper, a novel network structure inference method named Loc-PCA-CMI is proposed that first identifies local overlapped gene clusters, and then infers the local network structure for each cluster by a Path Consistency Algorithm based on Conditional Mutual Information(PCA-CMI). The final structure of the GRN is denoted as dependence among genes by an ensemble of the obtained local network structures. Loc-PCA-CMI was evaluated on DREAM3 knock-out datasets, and its performance was compared to other information theorybased network inference methods including ARACNE, MRNET, PCA-CMI, and PCA-PMI. Experimental results demonstrate our novel method Loc-PCA-CMI outperforms the other four methods in DREAM3 datasets especially in size 50 and 100 networks.Xiang Chen Min Li Ruiqing Zheng Siyu Zhao Jianxin Wang Fang-Xiang Wu Yaohang Li 2019Tsinghua Science and Technology2019,24,4:1
19Copper nano-wires prepared by template synthesis method 显示文摘Zheng Guoqu Ni Siyu Zheng Huajun 2004J Cent South Univ Technol2004,11,4:1
20Clustering-based probability distribution model for monthly residential building electricity consumption analysis显示文摘Electricity is now the major form of energy used in residential buildings and has seen a significant increase in usage over the past decades.One of the main features of electricity use in residential buildings is the diversity of total electricity consumption and use patterns among households.Current models may not be able to simulate and generate electricity use curves or reflect the variations accurately.To fill this gap,this research simulates electricity use curves in residential buildings with a clustering-based probability distribution model.The model extracts feature parameters to represent the electricity use level and patterns and then conducts a two-step cluster analysis to identify the distinctions of both electricity use levels and patterns.Based on the clustering results,probability distributions are fitted for all feature parameters within each sub-cluster.The model is then validated with three validation approaches.Monthly electricity consumption in households of the Jiangsu Province,China,was studied to test the performance of the model.Lastly,this paper discusses the application of this model under different spatial resolutions and analyzes the temporal-relevant model features.Jieyan Xu Xuyuan Kang Zheng Chen Da Yan Siyue Guo Yuan Jin Tianyi Hao Rongda Jia 2021Building Simulation2021,14,1:1
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