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| 1 | Experimental study on three dimensional movements of particles Ⅰ Effects of particle diameter on velocity and concentration distributions显示文摘Based on the three Dimensional Particle Tracking Velocimetry(3D PTV) system,the characteristics of motion of particles with four different diameters were investigated under the steady flow conditions. The longitudinal average velocity profiles of these particles were in accordance with Log-law,while the vertical and transverse velocities remained very low with minimal fluctuation. The time-average velocity of particles in the bed load layer was 8.50u,close to Bagnold's assumption U n-ω. The vertical concentration distribution of particles in the suspension region agreed with the Rouse equation. When the diameter of particles was relatively large,there existed an evident concentration gradient in the bed load layer. | Limo TANG Xingkui WANG | 2009 | International Journal of Sediment Research2009，24，2： | 6 |
| 2 | Experimental study on three dimensional movements of particles Ⅱ Effects of particle diameter on turbulence characteristics显示文摘Based on the 3D PTV(Particle Tracking Velocimetry) measuring system,the 3D movement characteristics of particles with four different diameters were investigated. Under specific flow conditions,the impact of particle diameters on 3D motion of particles was studied,and the turbulence characteristics were analyzed by different statistical methods. The results showed that the turbulence intensity of coarse particle decreased as the diameter increased. In near wall region,the probability density distributions of longitudinal and vertical fluctuation velocities both deviated from the normal distribution;while in the outer region,the probability density distribution of vertical fluctuation velocity approximately agreed with the normal distribution. | Limo TANG Xingkui WANG | 2009 | International Journal of Sediment Research2009，24，2： | 5 |
| 3 | EFFECT OF FLOW CONDITIONS ON 3D MOVEMENT CHARACTERISTICS OF PARTICLES显示文摘In steady uniform flows with different water depths, experiments with single particles were performed using a Particle Tracking Velocimetry (PTV) technique, and then the mechanism of particle movement was studied statistically. The experimental results showed that the average longitudinal velocity profile of particles conformed to the Log-law. The mean Von Karman constant, к, was 0.393, and the streamwise velocity of particles was lower than that in clear water flow by a ratio of 0.826. The vertical distribution of particle concentration in the suspended load region agreed with the Rouse equation, and the average value of the compensation factor, β, was determined to be 1.50. The turbulence intensity of the particle fluctuation velocity decreased with the increase in the Reynolds number Re. | Limo TANG Shanghong ZHANG Mingzhong YU Xingkui WANG | 2006 | International Journal of Sediment Research2006，21，4： | 0 |
| 4 | Experimental study on average movement characteristics of bed-load particles显示文摘The three-dimensional movements of bed-load particles in an open channel with different grain diameters and different specific gravities under the conditions of different hydraulic gradient are measured by means of particle tracking velocimetry(PTV)technique.The average movement characteristics of the particles are analyzed by statistics.The results show that the longitudinal average velocities of the particles neither agree with the law suggested by Einstein nor obey the law assumed by Bagnold.Einstein’s law is that the particle velocity is equal to 11.6 times of shear velocity,and the Bagnold’s law assumes the velocity equal to the difference between flow velocity at corresponding water depth and settling velocity of particle.Two formulas for determining the velocity of particle in the forms of expression given by Einstein and Bagnold are obtained according to the statistical results of experimental data,respectively. | Limo TANG Xingkui WANG | 2009 | Frontiers of Structural and Civil Engineering2009，3，4： | 0 |
| 5 | Suspected Yellow Fever Case Determined to be Adverse Vaccine Reaction显示文摘Jiangxi Provincial Center for Disease Control and Prevention(Jiangxi CDC)received an alert at 23:45 on November 7,2019 from Nanchang Customs that yellow fever virus was detected in a foreign national.On November 8,county,municipal,and provincial CDCs of Jiangxi Province carried out epidemiological investigations to show that the suspected case was found in a 35-year-old male patient from Addis Ababa,Ethiopia.On November 5,this patient began to have yellow-fever-like symptoms such as onset of fever,chills,and headache. | Sheng Ding Ying Xiong Huanhong Pan Zhongjian Li Song Tang Xingkui Huang Jianxiong Li Yong Shi Weijie Fu Huijian Cheng Daping Che Xiaoqing Liu Wentao Song Jingwen Wu Yisheng zhou Jian Zhang Chao Li Jiandong Li | 2019 | China CDC weekly2019，1，4： | 0 |
| 6 | Progress in research on tumor microenvironment-based spatial omics technologies显示文摘Spatial omics technology integrates the concept of space into omics research and retains the spatial information of tissues or organs while obtaining molecular information.It is characterized by the ability to visualize changes in molecular information and yields intuitive and vivid visual results.Spatial omics technologies include spatial transcriptomics,spatial proteomics,spatial metabolomics,and other technologies,the most widely used of which are spatial transcriptomics and spatial proteomics.The tumor microenvironment refers to the surrounding microenvironment in which tumor cells exist,including the surrounding blood vessels,immune cells,fibroblasts,bone marrow-derived inflammatory cells,various signaling molecules,and extracellular matrix.A key issue in modern tumor biology is the application of spatial omics to the study of the tumor microenvironment,which can reveal problems that conventional research techniques cannot,potentially leading to the development of novel therapeutic agents for cancer.This paper summarizes the progress of research on spatial transcriptomics and spatial proteomics technologies for characterizing the tumor immune microenvironment. | FANGMEI XIE NAITE XI ZEPING HAN WENFENG LUO JIAN SHEN JINGGENG LUO XINGKUI TANG TING PANG YUBING LV JIABING LIANG LIYIN LIAO HAOYU ZHANG YONG JIANG YUGUANG LI JINHUA HE | 2023 | Oncology Research2023，31，6： | 0 |
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