检索结果-南通市图书馆

Preparation and Analysis of Carbon Fiber-Silicon Carbide Thermally Conductive Asphalt Concrete

在线全文

学校读者我要写书评

暂无评论

Fluid Dynamics & Materials Processing 2024年第4期20卷 705-723页

作者： Zhiyong Yang Enjie Hu Lei xi Zhi Chen Feng xiong Chuanhai zhan School of Civil Engineering and Environment Hubei University of TechnologyWuhan430068China

An experimental investigation into the thermal conductivity of CF-SiC two-phase composite asphalt concrete is *** main objective of this study was to verify the possibility of using SiC powder instead of mineral powder as the thermal conductive filler to prepare a new type of asphalt concrete and improve the efficiency of electrothermal snow and ice melting systems *** thermal conductivity of asphalt concrete prepared with different thermally conductive fillers was tested by a transient plane source method,and the related performances were *** the temperature rise rate and surface temperature were studied through field heating ***,the actual ice melting efficiency of the thermally conductive asphalt concrete was evaluated using an effective electrothermal *** shown by the experimental results,the composite made of SiC powder and carbon fiber has a high thermal *** SiC replaces mineral powder,the thermal conductivity of the asphalt mixture increases first and then decreases with the increase of carbon fiber *** the present study,in particular,the thermal conductivity attained a peak when the carbon fiber content was 0.2%of the aggregate mass.

关键词： Carbon fiber silicon carbide thermally conductive asphalt concrete road performance electrothermal snow melting

Application of CFD and FEA Coupling to Predict Structural Dynamic Responses of A Trimaran in Uni-and Bi-Directional Waves

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Ocean Engineering 2024年第1期38卷 81-92页

作者： LIAO xi-yu xiA Jin-song CHEN zhan-yang TANG Qin ZHAO Nan ZHAO Wei-dong GUI Hong-bin Marine Design&Research Institute of China Shanghai 200011China Ship Structure Division China Ship Scientific Research CenterWuxi 214082China College of Ocean Engineering Harbin Institute of TechnologyWeihaiWeihai 264209China State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial EquipmentDalian University of TechnologyDalian 116024China School of Foreign Studies Jiangnan UniversityWuxi 214122China

To predict the wave loads of a flexible trimaran in different wave fields,a one-way interaction numerical simulation method is proposed by integrating the fluid solver(Star-CCM+)and structural solver(Abaqus).Differing from the existing coupled CFD-FEA method for monohull ships in head waves,the presented method equates the mass and stiffness of the whole ship to the hull shell so that any transverse and longitudinal section stress of the hull in oblique waves can be ***,verification study and sensitivity analysis are carried out by comparing the trimaran motions using different mesh sizes and time step *** on the wave elevation of uni-and bi-directional waves is also carried *** a comprehensive analysis on the structural responses of the trimaran in different uni-directional regular wave and bi-directional cross sea conditions is carried out,***,the differences in structural response characteristics of trimaran in different wave fields are *** results show that the present method can reduce the computational burden of the two-way fluid-structure interaction simulations.

关键词： CFD-FEA fluid-structure coupling structural responses trimaran bi-directional cross sea

TREM-2 Drives Development of Multiple Sclerosis by Promoting Pathogenic Th17 Polarization

在线全文

学校读者我要写书评

暂无评论

Neuroscience Bulletin 2024年第1期40卷 17-34页

作者： Siying Qu Shengfeng Hu Huiting Xu Yongjian Wu Siqi Ming xiaoxia zhan Cheng Wang xi Huang Center for Infection and Immunity and Guangdong Provincial Engineering Research Center of Molecular Imaging The Fifth Affiliated Hospital of Sun Yat-sen UniversityZhuhai 519000China The State Key Laboratory of Respiratory Disease Guangdong Provincial Key Laboratory of Allergy and Clinical ImmunologyThe Second Affiliated HospitalGuangzhou Medical UniversityGuangzhou 510260China Department of Laboratory Medicine The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510080China Division of Nephrology Department of Medicinethe Fifth Affliated Hospital of Sun Yat-sen UniversityZhuhai 519000China

Multiple sclerosis(MS)is a neuroinflammatory demyelinating disease,mediated by pathogenic T helper 17(Th17)***,the therapeutic effect is accompa-nied by the fluctuation of the proportion and function of Th17 cells,which prompted us to find the key regulator of Th17 differentiation in ***,we demonstrated that the triggering receptor expressed on myeloid cells 2(TREM-2),a modulator of pattern recognition receptors on innate immune cells,was highly expressed on pathogenic CD4-positive T lymphocyte(CD4^(+)T)cells in both patients with MS and experimental autoimmune encephalomyelitis(EAE)mouse *** knockout of Trem-2 in CD4^(+)T cells significantly alleviated the disease activity and reduced Th17 cell infiltration,activation,differentiation,and inflammatory cytokine production and secretion in EAE ***,with Trem-2 knockout in vivo experiments and in vitro inhibitor assays,the TREM-2/zeta-chain associated protein kinase 70(ZAP70)/signal transducer and activator of transcription 3(STAT3)signal axis was essential for Th17 activation and differentiation in EAE *** conclusion,TREM-2 is a key regulator of pathogenic Th17 in EAE mice,and this sheds new light on the potential of this therapeutic target for MS.

关键词： Multiple sclerosis Experimental autoimmune encephalomyelitis T helper 17 Triggering receptor expressed on myeloid cells 2

Sand control mechanism of radial well filled with phase change material in hydrate reservoir

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Petroleum Science 2024年第4期21卷 2571-2582页

作者： xiao-Qiang Liu Zhong-xi Han Zhi-Lin Luo Hai-Long Lu Ying Sun Qing You Tian-Kui Guo zhan-Qing Qu School of Energy Resources China University of Geosciences (Beijing) Beijing Key Laboratory of Unconventional Natural Gas Geological Evaluation and Development Engineering China University of Geosciences (Beijing) China Research Institute of Petroleum Exploration and Development Engineering Technology Research Institute of Southwest Oil & Gas Field Company PetroChina Beijing International Center for Gas Hydrate School of Earth and Space Sciences Peking University School of Advanced Material Peking University Shenzhen Graduate School School of Petroleum Engineering China University of Petroleum (East China)

Radial well filled with phase change material has been proposed as a novel sand control method for hydrate exploitation. In order to reveal the sand control mechanism, CFD-DEM coupling method is applied to simulate the migration, settlement, and blockage processes of sand particles in the radial *** obtained results indicate that three scenarios have been recognized for sand particles passing through sand control medium, based on the diameter ratio of sand control medium to sand particle（Dd）:fully passing（Dd= 8.75-22.5）, partially passing and partially blocked（Dd= 3.18-5.63）, and completely blocked（Dd= 2.18-3.21）. After being captured by the sand control medium, sand particles can block pores, which increases fluid flow resistance and causes a certain pressure difference in the radial *** pressure in the radial well should be lower than the hydrate phase equilibrium pressure during sand control design, for the purpose of promoting hydrate decomposition, and sand capture. The length of the radial well should be optimized based on the reservoir pore pressure, production pressure difference,bottom hole pressure, and the pressure gradient in the radial well. It should be noticed that the sand control medium leads to a decrease in permeability after sand particles captured. Even the permeability is reduced to several hundred millidarcy, it is still sufficient to ensure the effective flow of gas and water after hydrate decomposition. Increasing fluid velocity reduces the blocking capacity of the sand control medium, mainly because of deterioration in bridging between sand particles.

关键词： Hydrate reservoir Sand control Radial well CFD-DEM

Restraining growth of Zn dendrites by poly dimethyl diallyl ammonium cations in aqueous electrolytes

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Rare Metals 2024年第8期43卷 3735-3747页

作者： xiang-xin zhang Yuan-Qiang Chen Chang-xin Lin Yuan-Sheng Lin Guo-Lin Hu Yong-Chuan Liu xi-Lai Xue Su-Jing Chen zhan-Lin Yang Bai-Sheng Sa Yi-Ning zhang Key Laboratory of Optoelectronic Materials Chemistry and Physics Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China Helmholtz Institute Ulm(HIU) 89081 UlmGermany Karlsruhe Institute of Technology(KIT) 76021 KarlsruheGermany College of Materials Science and Engineering Fuzhou UniversityFuzhou350108China

Metallic zinc is an excellent anode material for Zn-ion batteries,but the growth of Zn dendrite severely hinders its practical ***,an efficient and economical cationic additive,poly dimethyl diallyl ammonium(PDDA) was reported,used in aqueous Zn-ion batteries electrolyte for stabilizing Zn *** growth of zinc dendrites can be significantly restrained by benefiting from the pronounced electrostatic shielding effect from PDDA on the Zn metal ***,the PDDA is preferentially absorbed on Zn(002) plane,thus preventing unwanted side reactions on Zn *** to the introduction of a certain amount of PDDA additive into the common ZnSO_(4)-based electrolyte,the cycle life of assembled Zn‖Zn cells(1 mA·cm^(-2) and 1 mAh·cm^(-2)) is prolonged to more than 1100 *** response to the perforation issue of Zn electrodes caused by PDDA additives,the problem can be solved by combining foamy copper with zinc *** real application,Zn-ion hybrid supercapacitors and MnO_(2)‖Zn cells were assembled,which exhibited excellent cycling stability with PDDA *** work provides a new solution and perspective to cope with the dendrite growth problem of Zn anode.

关键词： PDDA Electrostatic shielding effect Zn anode Zn dendrites

Reduced-complexity multiple parameters estimation via toeplitz matrix triple iteration reconstruction with bistatic MIMO radar

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2024年第7期37卷 482-495页

作者： Chenghong zhan Guoping HU Junpeng SHI Fangzheng ZHAO Hao ZHOU Graduate College Air Force Engineering UniversityXi’an 710051China Air and Missile Defense College Air Force Engineering UniversityXi’an 710051China College of Electronic Countermeasure National University of Defense TechnologyHefei 230037China Beijing Aeronautical Technology Research Center Beijing 100076China

In this advanced exploration, we focus on multiple parameters estimation in bistatic Multiple-Input Multiple-Output(MIMO) radar systems, a crucial technique for target localization and imaging. Our research innovatively addresses the joint estimation of the Direction of Departure(DOD), Direction of Arrival(DOA), and Doppler frequency for incoherent targets. We propose a novel approach that significantly reduces computational complexity by utilizing the TemporalSpatial Nested Sampling Model(TSNSM). Our methodology begins with a multi-linear mapping mechanism to efficiently eliminate unnecessary virtual Degrees of Freedom(DOFs) and reorganize the remaining ones. We then employ the Toeplitz matrix triple iteration reconstruction method, surpassing the traditional Temporal-Spatial Smoothing Window(TSSW) approach, to mitigate the single snapshot effect and reduce computational demands. We further refine the highdimensional ESPRIT algorithm for joint estimation of DOD, DOA, and Doppler frequency, eliminating the need for additional parameter pairing. Moreover, we meticulously derive the Cramér-Rao Bound(CRB) for the TSNSM. This signal model allows for a second expansion of DOFs in time and space domains, achieving high precision in target angle and Doppler frequency estimation with low computational complexity. Our adaptable algorithm is validated through simulations and is suitable for sparse array MIMO radars with various structures, ensuring higher precision in parameter estimation with less complexity burden.

关键词： MIMO Radar Multipleparameters estimation Temporal-spatial Nested Sampling Multi-linear mapping mechanism Toeplitz matrix triple iteration reconstruction Reduce computational complexity

UAV maneuvering decision-making algorithm based on deep reinforcement learning under the guidance of expert experience

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Engineering and Electronics 2024年第3期35卷 644-665页

作者： zhan Guang zhanG Kun LI Ke PIAO Haiyin School of Electronics and Information Northwestern Polytechnical UniversityXi’an 710072China Science and Technology on Electro-Optic Control Laboratory Luoyang 471009China

Autonomous umanned aerial vehicle(UAV) manipulation is necessary for the defense department to execute tactical missions given by commanders in the future unmanned battlefield. A large amount of research has been devoted to improving the autonomous decision-making ability of UAV in an interactive environment, where finding the optimal maneuvering decisionmaking policy became one of the key issues for enabling the intelligence of UAV. In this paper, we propose a maneuvering decision-making algorithm for autonomous air-delivery based on deep reinforcement learning under the guidance of expert experience. Specifically, we refine the guidance towards area and guidance towards specific point tasks for the air-delivery process based on the traditional air-to-surface fire control ***, we construct the UAV maneuvering decision-making model based on Markov decision processes(MDPs). Specifically, we present a reward shaping method for the guidance towards area and guidance towards specific point tasks using potential-based function and expert-guided advice. The proposed algorithm could accelerate the convergence of the maneuvering decision-making policy and increase the stability of the policy in terms of the output during the later stage of training process. The effectiveness of the proposed maneuvering decision-making policy is illustrated by the curves of training parameters and extensive experimental results for testing the trained policy.

关键词： unmanned aerial vehicle(UAV) maneuvering decision-making autonomous air-delivery deep reinforcement learning reward shaping expert experience

Delineating homogeneous domains of fractured rocks using topological manifolds and deep learning

在线全文

学校读者我要写书评

暂无评论

Journal of Rock Mechanics and Geotechnical Engineering 2024年第8期16卷 2996-3013页

作者： Yongqiang Liu Jianping Chen Fujun Zhou Jiewei zhan Wanglai Xu Jianhua Yan College of Construction Engineering Jilin UniversityChangchun130026China China Railway First Survey and Design Institute Group Co. Ltd.Xi’an710043China College of Geological Engineering and Geomatics Chang’an UniversityXi’an710054China

Determining homogeneous domains statistically is helpful for engineering geological modeling and rock mass stability *** this text,a technique that can integrate lithology,geotechnical and structural information is proposed to delineate homogeneous *** technique is then applied to a high and steep slope along a ***,geological and geotechnical domains were described based on lithology,faults,and shear ***,topological manifolds were used to eliminate the incompatibility between orientations and other parameters(*** length and roughness)so that the data concerning various properties of each discontinuity can be matched and characterized in the same Euclidean ***,the influence of implicit combined effect in between parameter sequences on the homogeneous domains could be *** learning technique was employed to quantify abstract features of the characterization images of discontinuity properties,and to assess the similarity of rock mass *** results show that the technique can effectively distinguish structural variations and outperform conventional *** can handle multisource engineering geological information and multiple discontinuity *** technique can also minimize the interference of human factors and delineate homogeneous domains based on orientations or multi-parameter with arbitrary distributions to satisfy different engineering requirements.

关键词： Homogeneous domain Geological domain Geotechnical domain Structural domain Topological manifold Deep learning

Immune-tumor interaction dictates spatially directed evolution of esophageal squamous cell carcinoma

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

National Science Review 2024年第5期11卷 170-185页

作者： Yong Zhou Shanlan Mo Heyang Cui Ruifang Sun Weimin zhang xiaofei Zhuang Enwei Xu Hongyi Li Yikun Cheng Yongsheng Meng Meilin Liu Ting Yan Huijuan Liu Ling zhang Bin Yang Yanfeng xi Shubin Wang xiaolong Cheng Shuai Cheng Li Zhihua Liu Qimin zhan Zheng Hu Yongping Cui Cancer Institute Department of Pathology Peking University Shenzhen Hospital Shenzhen Peking University-the Hong Kong University of Science and Technology(PKU-HKUST) Medical Center Institute of Cancer ResearchShenzhen Bay Laboratory Key Laboratory of Cellular Physiology of the Ministry of Education Department of Pathology Shanxi Medical University City University of Hong Kong Shenzhen Research Institute CAS Key Laboratory of Quantitative Engineering Biology Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of Sciences Department of Surgery Faculty of Medicine The Chinese University of Hong Kong Department of Tumor Biobank Shanxi Province Cancer HospitalShanxi Hospital Affiliated to Cancer HospitalChinese Academy of Medical SciencesCancer Hospital Affiliated to Shanxi Medical University Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Laboratory of Molecular Oncology Peking University Cancer Hospital & Institute Research Unit of Molecular Cancer Research Chinese Academy of Medical Sciences Department of Thoracic Surgery Shanxi Province Cancer HospitalShanxi Hospital Affiliated to Cancer HospitalChinese Academy of Medical SciencesCancer Hospital Affiliated to Shanxi Medical University Department of Pathology Shanxi Province Cancer HospitalShanxi Hospital Affiliated to Cancer HospitalChinese Academy of Medical SciencesCancer Hospital Affiliated to Shanxi Medical University College of Letters & Science University of California Berkeley State Key Laboratory of Molecular Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College

Esophageal squamous cell carcinoma（ESCC） is a poor-prognostic cancer type with extensive intra-and inter-patient heterogeneity in both genomic variations and tumor microenvironment（TME）. However, the patterns and drivers of spatial genomic and microenvironmental heterogeneity of ESCC remain largely unknown. Here, we generated a spatial multi-omic atlas by whole-exome, transcriptome, and methylome sequencing of 507 tumor samples from 103 patients. We identified a novel tumor suppressor PREX2,accounting for 22% of ESCCs with frequent somatic mutations or hyper-methylation, which promoted migration and invasion of ESCC cells in vitro. Analysis of the TME and quantification of subclonal expansion indicated that ESCCs undergo spatially directed evolution, where subclones mostly originated from the tumor center but had a biased clonal expansion to the upper direction of the ***, we found upper regions of ESCCs often underwent stronger immunoediting with increased selective fitness, suggesting more stringent immune selection. In addition, distinct TMEs were associated with variable genomic and clinical outcomes. Among them, hot TME was associated with high immune evasion and subclonal heterogeneity. We also found that immunoediting, instead of CD8+T cell abundance, acts as an independent prognostic factor of ESCCs. Importantly, we found significant heterogeneity in previously considered potential therapeutic targets, as well as BRCAness characteristics in a subset of patients, emphasizing the importance of focusing on heterogeneity in ESCC targeted ***, these findings provide novel insights into the mechanisms of the spatial evolution of ESCC and inform precision therapeutic strategies.

关键词： squamous cell carcinoma heterogeneity multi-omics evolution tumor microenvironment