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| 1 | Characteristics and Origin of Tight Oil Accumulations in the Upper Triassic Yanchang Formation of the Ordos Basin,North-Central China显示文摘The Upper Triassic oil accumulations in the Ordos Basin is the most successful tight oil play in China,with average porosity values of less than 10% and permeability values below 1.0 mD.This study investigated the geological characteristics and origin of the tight oil accumulations in the Chang 6 member of the Upper Triassic Yanchang Formation in the Shanbei area based on over 50,000 petrological,source-rock analysis,well logging and production data.The tight oil accumulation of the Chang 6 member is distributed continuously in the basin slope and the centre of the basin.The oilwater relationships are complex.Laumontite dissolution pores are the most important storage spaces,constituting 30%-60% of total porosity and showing a strong positive relationship with oil production.The pore-throat diameter is less than 1 μm,and the calculated critical height of the oil column is much larger than the tight sand thickness,suggesting that the buoyancy was probably of limited importance for oil migration.The pressure difference between the source rocks and sandstone reservoirs is inferred to have provided driving force for hydrocarbon migration.Two factors of source-reservoir configuration and laumontite dissolution contributed to the formation of the Chang 6 tight oil accumulations.Intense hydrocarbon generation and continuous sand bodies close to the hydrocarbon kitchen are the foundation for the large-scale oil distribution.Dissolution of feldspar-laumontite during the process of organic matter evolution generated abundant secondary pores and improved the reservoir quality. | WU Songtao ZOU Caineng ZHU Rukai YAO Jingli TAO Shizhen YANG Zhi ZHAI Xiufen CUI Jingwei LIN Senhu | 2016 | Acta Geologica Sinica(English Edition)2016，90，5： | 13 |
| 2 | Identifying disease modules and components of viral infections based on multi-layer networks显示文摘With the emergence of multi-dimensional data, we can more comprehensively analyze the pathogenic mechanisms of complex diseases, and thereby improve the diagnosis, treatment and prevention of these diseases.This study presents a novel multi-layer network-based strategy that integrates multi-dimensional data, and identifies disease-related modules and components of viral infections. We first propose a systematic method that constructs a virus-host interaction network with three layers: a viral protein layer, a host protein layer and a host gene layer. This method combines the data of high-throughput gene expression, viral protein interactions,virus-host interactions, protein-protein interactions and transcriptional regulatory relationships. To extract the underlying mechanisms of viral infections from the multi-layer networks, we identify the intra-layer and crosslayer modules, and investigate the conserved modules across multiple datasets. The essential components in the multi-layer networks are detected by singular-value decomposition. The identified conserved modules and essential components are combined into a functional enrichment analysis that reveals their contributions to influenza virus replication. By this analysis, we elucidate the common and specific mechanisms of the replication cycles of two influenza strains. By combining the different layers of information, we can comprehensively understand pathogenic mechanisms of complex diseases. | Yuanyuan LI Xiufen ZOU | 2016 | Science China(Information Sciences)2016，59，7： | 2 |
| 3 | A New Dynamical Evolution Algorithm Based on Statistical Mechanics 显示文摘 | Li Yuanxiang Zou Xiufen Kang Lishan Zbigniew Michalewicz | 2003 | Computer Science & Technology2003，18，3： | 1 |
| 4 | A new evolutionary algo- rithm for solving many-objective optimization problems 显示文摘 | Zou Xiufen Chen Yu Liu Minzhong | 2008 | IEEI= Trans on Systems Man and Cybernetics-part B:Cybernetics2008，38，5： | 1 |
| 5 | Iteration and optimization scheme for the reconstruction of 3D surfaces based on non-uniform rational B-splines显示文摘 | XIE Weicheng ZOU Xiufen YANG Jiandong | 2012 | Computer-Aided Design2012，44，11： | 1 |
| 6 | A Dynamic Two - Level Evolutionary Algorithm for Solving Multi - modal Function Optimization Problems显示文摘 | GONG Jiafen ZOU Xiufen JIN Hui | 2005 | Progress in Intelligence Computation & Applications2005，，： | 1 |
| 7 | The linear interplay ofintrinsic and extrinsic noises ensures a high accuracy ofcell fate selection in budding yeast 显示文摘 | Li Yongkai Yi Ming Zou Xiufen | 2014 | Sci Rep2014，4，： | 1 |
| 8 | Complex dynamical analysis of acoupled network from innate immune responses 显示文摘 | Tan Jinying Zou Xiufen | 2013 | Int JBifurcat Chaos2013，23，13： | 1 |
| 9 | A New Dynamical Evolutionary Algorithm Based on Statistical Mechanics显示文摘 | Li Yuanxiang Zou Xiufen Kang Lishan | 2003 | Journal Computer Science and Technology2003，18，： | 1 |
| 10 | Construction of the influenza a vi-rus infection-induced cell-specific inflammatory regulatorynetwork based on mutual information and optimization显示文摘 | Jin Suoqin Zou Xiufen | 2013 | BMC Syst Biol2013，，： | 1 |
| 11 | A binary differentialevolution algorithm learning from explored solutions 显示文摘 | Chen Yu Xie Weicheng Zou Xiufen | 2015 | Neurocomputing2015，149，： | 1 |
| 12 | Diversity-maintaineddifferential evolution embedded with gradient-based localsearch 显示文摘 | Xie Weicheng Yu Wei Zou Xiufen | 2013 | Soft Comput2013，17，8： | 1 |
| 13 | A new evolu- tionary algorithm for solving many-objective optimization problems 显示文摘 | ZOU Xiufen CHEN Yu LIU Minzhong | 2008 | IEEE Transactions on Systems Man and Cybernetics Part B: Cybernetics2008，38，5： | 1 |
| 14 | Under-standing inhibition of viral proteins on type I IFN signalingpathways with modeling and optimization 显示文摘 | Zou Xiufen Xiang Xueshuang Chen Yan | 2010 | J Theor Bi-ol2010，265，4： | 1 |
| 15 | Dynamic Host Immune and Transcriptomic Responses to Respiratory Syncytial Virus Infection in a Vaccination-Challenge Mouse Model显示文摘Respiratory syncytial virus(RSV) is the major cause of lower respiratory tract infections in children. Inactivated RSV vaccine was developed in the late 1960’s, but the vaccine-enhanced disease(VED) occurred to vaccinated infants upon subsequent natural RSV infection. The excessive inflammatory immunopathology in the lungs might be involved in the VED, but the underlying mechanisms remain not fully understood. In this study, we utilized UV-inactivated RSV in the prime/boost approach followed by RSV challenge in BALB/c mice to mimic RSV VED. The dynamic virus load,cytokines, histology and transcriptome profiles in lung tissues of mice were investigated from day 1 to day 6 post-infection.Compared to PBS-treated mice, UV-RSV vaccination leads to a Th2 type inflammatory response characterized by enhanced histopathology, reduced Treg cells and increased IL4^(+)CD4 T cells in the lung. Enhanced production of several Th2 type cytokines(IL-4, IL-5, IL-10) and TGF-b, reduction of IL-6 and IL-17 were observed in UV-RSV vaccinated mice. A total of 5582 differentially expressed(DE) genes between PBS-treated or vaccinated mice and na?ve mice were identified by RNA-Seq. Eleven conserved high-influential modules(HMs) were recognized, majorly grouped into regulatory networks related to cell cycle and cell metabolism, signal transduction, immune and inflammatory responses. At an early time post-infection, the vaccinated mice showed obvious decreased expression patterns of DE genes in 11 HMs compared to PBS-treated mice. The extracellular matrix(HM5) and immune responses(HM8) revealed tremendous differences in expression and regulation characteristics of transcripts between PBS-treated and vaccinated mice at both early and late time points. The highly connected genes in HM5 and HM8 networks were further validated by RT-qPCR.These findings reveal the relationship between RSV VED and immune responses, which could benefit the development of novel RSV vaccines. | Yu Zhao Chen Ma Jie Yang Xiufen Zou Zishu Pan | 2021 | Virologica Sinica2021，36，6： | 0 |
| 16 | Correction to: Dynamic Host Immune and Transcriptomic Responses to Respiratory Syncytial Virus Infection in a Vaccination-Challenge Mouse Model显示文摘Correction to:Virologica Sinica http://gffzzd3cc09b8251d45dfsc0obqbxfbnub66np.ffgz.tsg.suse.edu.cn/10.1007/s12250-021-00418-3 The original version of this article,published online on June 17,2021,contained a mistake in Supplementary Table S5.The correct Supplementary Table S5 is given below. | Yu Zhao Chen Ma Jie Yang Xiufen Zou Zishu Pan | 2021 | Virologica Sinica2021，36，6： | 0 |
| 17 | A 1D Lattice-Boltzmann Model with Energy Equation显示文摘A1DLattice-BoltzmannModelwithEnergyEquationZouXiufen(WuhanUniversityofHydraulicandElectricEngineeringWuhan430072P.R.China)LiY... | Zou Xiufen(Wuhan University of Hydraulic and Electric Engineering Wuhan 430072 P.R.China) Li Yuanxiang(State Key Laboratory of Software Engineering Wuhan University,Wuhan 430072 P.R.China)Nie Sixiang(Department of Nathematics Shantou University, Shantou G | 1996 | Wuhan University Journal of Natural Sciences1996，1，Z1： | 0 |
| 18 | A Niche-Based Evolutionary Tabu Search Algorithm for Optimal Coordination of Protection Relays in Power Networks显示文摘In this paper, refusal of operation and the degree of constraint violation are considered as one part of the objective function for optimizing the protection relay setting coordination of over current relays in power systems; a new expression of objec- tive function in this optimization problem is proposed. To combine the advantages of both Tabu search (TS) and evolutionary algo- rithms (EAs), a new niche-based evolutionary Tabu search algo- rithm (named NETS) is presented to solve this optimization prob- lem. Moreover, in two cases of power networks, comparisons be- tween NETS and two published algorithms are given. Experimen- tal results show the expression of the objective function for pro- tection relay setting is feasible and reasonable, and the proposed algorithm NETS exhibits a good performance. | YUAN Rongxiang ZOU Xiufen XU Chunlin | 2009 | Wuhan University Journal of Natural Sciences2009，14，3： | 0 |
| 19 | High Order Deep Neural Network for Solving High Frequency Partial Differential Equations显示文摘This paper proposes a high order deep neural network(HOrderDNN)for solving high frequency partial differential equations(PDEs),which incorporates the idea of“high order”from finite element methods(FEMs)into commonly-used deep neural networks(DNNs)to obtain greater approximation ability.The main idea of HOrderDNN is introducing a nonlinear transformation layer between the input layer and the first hidden layer to form a high order polynomial space with the degree not exceeding p,followed by a normal DNN.The order p can be guided by the regularity of solutions of PDEs.The performance of HOrderDNNis evaluated on high frequency function fitting problems and high frequency Poisson and Helmholtz equations.The results demonstrate that:HOrderDNNs(p>1)can efficiently capture the high frequency information in target functions;and when compared to physics-informed neural network(PINN),HOrderDNNs(p>1)converge faster and achieve much smaller relative errors with same number of trainable parameters.In particular,when solving the high frequency Helmholtz equation in Section 3.5,the relative error of PINN stays around 1 with its depth and width increase,while the relative error can be reduced to around 0.02 as p increases(see Table 5). | Zhipeng Chang Ke Li Xiufen Zou Xueshuang Xiang | 2022 | Communications in Computational Physics2022，31，2： | 0 |
| 20 | The Role of Sleep Deprivation in Arrhythmias显示文摘Sleep is essential to the normal psychological and physiological activities of the human body.Increasing evidence indicates that sleep deprivation is associated with the occurrence,development,and poor treatment effects of various arrhythmias.Sleep deprivation affects not only the peripheral nervous system but also the central nervous system,which regulates the occurrence of arrhythmias.In addition,sleep deprivation is associated with apoptotic pathways,mitochondrial energy metabolism disorders,and immune system dysfunction.Although studies increasingly suggest that pathological sleep patterns are associated with various atrial and ventricular arrhythmias,further research is needed to identify specific mechanisms and recommend therapeutic interventions.This review summarizes the findings of sleep deprivation in animal experiments and clinical studies,current challenges,and future research directions in the field of arrhythmias. | Wenlong Wang Hongpeng Yin Ge Sun Junpei Zhang Jingmei Sun Nadine Mbabazi Lina Zou Bin Li Pengqi Lin Quanwei Pei Xin Wang Penghe Wang Xuanrui Ji Xiufen Qu Dechun Yin | 2022 | Cardiovascular Innovations and Applications2022，7，3： | 0 |
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