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| 1 | Finite Element Numerical Simulation and PIV Measurement of Flow Field inside Metering-in Spool Valve显示文摘The finite element method(FEM) and particle image velocimetry(PIV) technique are utilized to get the flow field along the inlet passage, the chamber, the metering port and the outlet passage of spool valve at three different valve openings.For FEM numerical simulation, the stream function ψ-vorticity ω forms of continuity and Navier-Stokes equations are employed and FEM is applied to discrete the equations.Homemade simulation codes are executed to compute the values of stream function and vorticity at each node in the flow domain, then according to the correlation between stream function and velocity components, the velocity vectors of the whole field are calculated.For PIV experiment, pulse Nd:YAG laser is exploited to generate laser beam, cylindrical and spherical lenses are combined each other to produce 1.0 mm thickness laser sheet to illuminate the object plane, Polystyrene spherical particle with diameter of 30?50 μm is seeded in the fluid as a tracing particles, Kodak ES1.0 CCD camera is employed to capture the images of interested, the images are processed with fast Fourier transform(FFT) cross-correlation algorithm and the processing results is displayed.Both results of numerical simulation and PIV experimental show that there are three main areas in the spool valve where vortex is formed.Numerical results also indicate that the valve opening have some effects on the flow structure of the valve.The investigation is helpful for qualitatively analyzing the energy loss, noise generating, steady state flow forces and even designing the geometry structure and flow passage. | GAO Dianrong QIAO Haijun LU Xianghui | 2009 | Chinese Journal of Mechanical Engineering2009，22，1： | 10 |
| 2 | An Arctic sea ice thickness variability revealed from satellite altimetric measurements显示文摘A modified algorithm taking into account the first year(FY) and multiyear(MY) ice densities is used to derive a sea ice thickness from freeboard measurements acquired by satellite altimetry ICESat(2003–2008). Estimates agree with various independent in situ measurements within 0.21 m. Both the fall and winter campaigns see a dramatic extent retreat of thicker MY ice that survives at least one summer melting season. There were strong seasonal and interannual variabilities with regard to the mean thickness. Seasonal increases of 0.53 m for FY the ice and 0.29 m for the MY ice between the autumn and the winter ICESat campaigns, roughly 4–5 month separation, were found. Interannually, the significant MY ice thickness declines over the consecutive four ICESat winter campaigns(2005–2008) leads to a pronounced thickness drop of 0.8 m in MY sea ice zones. No clear trend was identified from the averaged thickness of thinner, FY ice that emerges in autumn and winter and melts in summer. Uncertainty estimates for our calculated thickness, caused by the standard deviations of multiple input parameters including freeboard, ice density, snow density, snow depth, show large errors more than 0.5 m in thicker MY ice zones and relatively small standard deviations under 0.5 m elsewhere. Moreover, a sensitivity analysis is implemented to determine the separate impact on the thickness estimate in the dependence of an individual input variable as mentioned above. The results show systematic bias of the estimated ice thickness appears to be mainly caused by the variations of freeboard as well as the ice density whereas the snow density and depth brings about relatively insignificant errors. | BI Haibo HUANG Haijun SU Qiao YAN Liwen LIU Yanxia XU Xiuli | 2014 | Acta Oceanologica Sinica2014，33，11： | 8 |
| 3 | Biomediated Precipitation of Calcium Carbonate in a Slightly Acidic Hot Spring,Yunnan Province显示文摘A slightly acidic hot spring named 'Female Tower'(t=73.5°C, pH=6.64) is located in the Jifei Geothermal Field, Yunnan Province, southwestern China. The precipitates in the hot spring are composed of large amounts of calcite, aragonite and sulfur. Scanning electron microscopy(SEM) analyses reveal that the microbial mats were formed from various coccoid or rod-shaped filamentous microbes. Transmission electron microscopy(TEM) shows that the intracellular sulfur granules are commonly associated with these microbes. A culture-independent molecular phylogenetic analysis demonstrates that the majority of the bacteria in the spring are sulfur-oxidizing bacteria. In the spring water, H_2S concentration is up to 60 ppm, while SO_4^(2-) concentration is only about 10 ppm. We speculate that H_2S might derive from sulfur-oxidizing bacteria in this hot spring water, leading to the intracellular formation of sulfur granules. Meanwhile, this reaction increased the p H in the micronscale microdomains, which fosters the precipitation of calcium carbonate in the microbial mats. The results of this study indicate that the sulfur-oxidizing bacteria might play an important role in calcium carbonate precipitation in slightly acidic hot spring environments. | JIANG Lei XU Hengchao QIAO Haijun | 2017 | Acta Geologica Sinica(English Edition)2017，91，1： | 2 |
| 4 | Omicron adopts a different strategy from Delta and other variants to adapt to host显示文摘Dear Editor,With the ongoing of Corona Virus Disease 2019(COVID-19)epidemic,new strains of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)are continuously emerging.After Delta(B.1.617.2)identified in India,Lambda(C.37),Mu(B.1.621),and Omicron(B.1.1.529)were successively found in Peru,Colombia,and Botswana/South Africa,and subsequently defined as variant of interest(VOI)or variant of concern(VOC). | Xiaohong Du Haijun Tang Long Gao Zhao Wu Fang Meng Ruhong Yan Shigang Qiao Jianzhong An Chen Wang F.Xiao-Feng Qin | 2022 | Signal Transduction and Targeted Therapy2022，7，3： | 1 |
| 5 | Ultraviolet-light-induced absorption changes in highly Zn-doped LiNbO3 显示文摘 | QIAO Haijun Yasuo Tomita | 2006 | Optics Express2006，14，12： | 1 |
| 6 | Complex genetic architecture underlying the plasticity of maize agronomic traits显示文摘Phenotypic plasticity is the ability of a given genotype to produce multiple phenotypes in response to changing environmental conditions.Understanding the genetic basis of phenotypic plasticity and establishing a predictive model is highly relevant to future agriculture under a changing climate.Here we report findings on the genetic basis of phenotypic plasticity for 23 complex traits using a diverse maize population planted at five sites with distinct environmental conditions.We found that latituderelated environmental factors were the main drivers of across-site variation in flowering time traits but not in plant architecture or yield traits.For the 23 traits,we detected 109 quantitative trait loci(QTLs),29 for mean values,66 for plasticity,and 14 for both parameters,and 80%of the QTLs interacted with latitude.The effects of several QTLs changed in magnitude or sign,driving variation in phenotypic plasticity.We experimentally validated one plastic gene,ZmTPS14.1,whose effect was likely mediated by the compensation effect of ZmSPL6 from a downstream pathway.By integrating genetic diversity,environmental variation,and their interaction into a joint model,we could provide site-specific predictions with increased accuracy by as much as 9.9%,2.2%,and 2.6%for days to tassel,plant height,and ear weight,respectively.This study revealed a complex genetic architecture involving multiple alleles,pleiotropy,and genotype-byenvironment interaction that underlies variation in the mean and plasticity of maize complex traits.It provides novel insights into the dynamic genetic architecture of agronomic traits in response to changing environments,paving a practical way toward precision agriculture. | Minliang Jin Haijun Liu Xiangguo Liu Tingting Guo Jia Guo Yuejia Yin Yan Ji Zhenxian Li Jinhong Zhang Xiaqing Wang Feng Qiao Yingjie Xiao Yanjun Zan Jianbing Yan | 2023 | Plant Communications2023，4，3： | 1 |
| 7 | Inverse kinematic analysis of the general 6R serial robot mechanism based on double quaternions显示文摘 | QIAO Shuguang LIAO Qizheng WEI Shimin SU Haijun | 2010 | Mechanism and Machine Theory2010，45，2： | 1 |
| 8 | Evolutionary characteristics of SARS-CoV-2 Omicron subvariants adapted to the host显示文摘Dear Editor,As the COVID-19 epidemic proceeds,new variants of SARS-CoV-2 continue to emerge.^(1)Particularly the B.1.1.529(Omicron)variant emerged and spread globally,surpassing the previously dominant B.1.617.2(Delta)variant.Moreover,the original Omicron variant continued to mutate into numerous Omicron sublineages.Nonetheless,the infectious and immune characteristics of newly-emerged Omicron sublineages that have evolved to adapt to the host remain unclear. | Haijun Tang Yun Shao Yi Huang Shigang Qiao Jianzhong An Ruhong Yan Xin Zhao Fang Meng Xiaohong Du F.Xiao-Feng Qin | 2023 | Signal Transduction and Targeted Therapy2023，8，6： | 0 |
| 9 | Experimental observation of multiple topological nodal structure in LaSb_(2)显示文摘Unconventional fermions in the immensely studied topological semimetals are the source for rich exotic topological properties.Here,using symmetry analysis and first-principles calculations,we propose the coexistence of multiple topological nodal structure in LaSb_(2),including topological nodal surfaces,nodal lines and in particular eightfold degenerate nodal points,which have been scarcely observed in a single material.Further,utilizing angle-resolved photoemission spectroscopy,we confirm the existence of nodal surfaces and eightfold degenerate nodal points in LaSb_(2).The intriguing multiple topological nodal structure might play a crucial role in giving rise to the large linear magnetoresistance.Our work renews the insights into the exotic topological phenomena in LaSb_(2). | Yuxi Qiao Fuyi Wang Huaiqiang Wang Zicheng Tao Zhicheng Jiang Zhengtai Liu Soohyun Cho Fayuan Zhang Qingkai Meng Wei Xia Yichen Yang Zhe Huang Jishan Liu Zhonghao Liu Zengwei Zhu Shan Qiao Yanfeng Guo Haijun Zhang Dawei Shen | 2024 | Science China(Physics,Mechanics & Astronomy)2024，67，4： | 0 |
| 10 | Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process显示文摘Due to the large uncertainty in the municipal solid waste incineration(MSWI)process,the furnace temperature of the MSWI process is difficult to control and the controller is updated frequently.To improve the accuracy and reduce the number of controller updates,a novel event-triggered control method based correntropy self-organizing TS fuzzy neural network(ETCSTSFNN)is proposed.Firstly,the neurons of the rule layer are grown or pruned adaptively based on activation intensity and control error to meet the dynamic change of the actual operating condition.Meanwhile,the performance index is designed based on the correntropy of tracking errors,and the parameters of the controller are adjusted by gradient descent algorithm.Secondly,a fixed threshold event-triggered condition is designed to determine whether the current controller is updated or not.The stability of the control system is proved based on the Lyapunov stability theory.Finally,the furnace temperature control experiments are conducted based on the actual data of a municipal solid waste incineration plant in Beijing.The experimental results show that the proposed ET-CSTSFNN controller shows a better control performance,which can reduce the number of the controller update significantly while achieving accurate furnace temperature control compared with other traditional control methods. | HE HaiJun MENG Xi TANG Jian QIAO JunFei | 2023 | Science China(Technological Sciences)2023，66，4： | 0 |
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