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| 1 | Identification of long-range transport pathways and potential sources of PM2.5 and PM10 in Beijing from 2014 to 2015显示文摘Trajectory clustering, potential source contribution function(PSCF) and concentration-weighted trajectory(CWT) methods were applied to investigate the transport pathways and identify potential sources of PM_(2.5)and PM_(10) in different seasons from June 2014 to May 2015 in Beijing.The cluster analyses showed that Beijing was affected by trajectories from the south and southeast in summer and autumn. In winter and spring, Beijing was not only affected by the trajectories from the south and southeast, but was also affected by trajectories from the north and northwest. In addition, the analyses of the pressure profile of backward trajectories showed that backward trajectories, which have important influence on Beijing, were mainly distributed above 970 h Pa in summer and autumn and below 950 h Pa in spring and winter. This indicates that PM_(2.5)and PM_(10) were strongly affected by the near surface air masses in summer and autumn and by high altitude air masses in winter and spring. Results of PSCF and CWT analyses showed that the largest potential source areas were identified in spring, followed by winter and autumn,then summer. In addition, potential source regions of PM_(10) were similar to those of PM_(2.5). There were a clear seasonal and spatial variation of the potential source areas of Beijing and the airflow in the horizontal and vertical directions. Therefore, more effective regional emission reduction measures in Beijing's surrounding provinces should be implemented to reduce emissions of regional sources in different seasons. | Deping Li Jianguo Liu Jiaoshi Zhang Huaqiao Gui Peng Du Tongzhu Yu Jie Wang Yihuai Lu Wenqing Liu Yin Cheng | 2017 | Journal of Environmental Sciences2017，29，6： | 22 |
| 2 | Deep Learning Based 2D Human Pose Estimation:A Survey显示文摘Human pose estimation has received significant attention recently due to its various applications in the real world. As the performance of the state-of-the-art human pose estimation methods can be improved by deep learning, this paper presents a comprehensive survey of deep learning based human pose estimation methods and analyzes the methodologies employed. We summarize and discuss recent works with a methodologybased taxonomy. Single-person and multi-person pipelines are first reviewed separately. Then, the deep learning techniques applied in these pipelines are compared and analyzed. The datasets and metrics used in this task are also discussed and compared. The aim of this survey is to make every step in the estimation pipelines interpretable and to provide readers a readily comprehensible explanation. Moreover, the unsolved problems and challenges for future research are discussed. | Qi Dang Jianqin Yin Bin Wang Wenqing Zheng | 2019 | Tsinghua Science and Technology2019，24，6： | 14 |
| 3 | Analysis of threshed rice mixture separation through vibration screen using discrete element method显示文摘The discrete element method was utilized to construct three-dimensional discrete element models for the rice mixture,and their motions were analyzed numerically on a planar vibration screening device.The results showed that,after falling onto the vibrating screen surface,the mixture undergoes a reciprocating motion within the same cycle.During the screening process,the mixture undergoes segregation,slides along the screen surface,passes through the screen and then falls.In comparing the movement of grains and shriveled grains,it can be seen that the velocity of shriveled grains experiences cyclical changes,which is consistent with the grains’motion cycle.The impact on grains is shown to be greater than that on shriveled grains,and the average speeds of shriveled grains and grains converge.The curve shows that the screening of repetitive movements has a significant effect on the average velocity of shriveled grains,but also the velocity of shriveled grains and the vibration parameters can be well represented by a fitting equation.It is beneficial for the separation of grains from shriveled grains to choose a greater vibration frequency and screen surface inclination in the range of commonly used. | Li Hua Wang Jinshuang Yuan Jianbo Yin Wenqing Wang Zhiming Qian Youzhang | 2017 | International Journal of Agricultural and Biological Engineering2017，10，6： | 10 |
| 4 | Classification of rice seed variety using point cloud data combined with deep learning显示文摘Rice variety selection and quality inspection are key links in rice planting.Compared with two-dimensional images,three-dimensional information on rice seeds shows the appearance characteristics of rice seeds more comprehensively and accurately.This study proposed a rice variety classification method using three-dimensional point cloud data of the surface of rice seeds combined with a deep learning network to achieve the rapid and accurate identification of rice varieties.First,a point cloud collection platform was set up with a Raytrix light field camera as the core to collect three-dimensional point cloud data on the surface of rice seeds;then,the collected point cloud was filled,filtered and smoothed;after that,the point cloud segmentation is based on the RANSAC algorithm,and the point cloud downsampling is based on a combination of random sampling algorithm and voxel grid filtering algorithm.Finally,the processed point cloud was input to the improved PointNet network for feature extraction and species classification.The improved PointNet network added a cross-level feature connection structure,made full use of features at different levels,and better extracted the surface structure features of rice seeds.After testing,the improved PointNet model had an average classification accuracy of 89.4%for eight varieties of rice,which was 1.2%higher than that of the PointNet model.The method proposed in this study combined deep learning and point cloud data to achieve the efficient classification of rice varieties. | Yan Qian Qianjin Xu Yingying Yang Hu Lu Hua Li Xuebin Feng Wenqing Yin | 2021 | International Journal of Agricultural and Biological Engineering2021，14，5： | 1 |
| 5 | Fe-doped NiCo_(2)O_(4)hollow hierarchical sphere as an efficient electrocatalyst for oxygen evolution reaction显示文摘We prepared porous Fe-doped nickel cobaltate(Fe-NiCo_(2)O_(4))hollow hierarchical nanospheres through a facile self-templated synthetic strategy.Due to the porous hollow structure and composition,the Fe-NiCo_(2)O_(4)presented vastly superior electrocatalytic activity for the oxygen evolution reaction(OER),compared with NiCo_(2)O_(4)and the majority of other OER catalysts.With an aim of stimulating a current density of 10 mA$cm-2,the Fe-NiCo_(2)O_(4)catalyst needs an overpotential of 210 mV,which is on a par with the general properties of commercial IrO2.In addition,the Fe-NiCo_(2)O_(4)catalyst performed stably in long-term testing.The excellent activity and long-term stability showed that such catalysts have great promise for widespread application in the field of water splitting. | Wenqing ZHENG Han SUN Xinping LI Shu ZHANG Zhuoxun YIN Wei CHEN Yang ZHOU | 2021 | Frontiers of Materials Science2021，15，4： | 1 |
| 6 | The effect of preferential flow on extraction and surface morphology of copper sulphides during heap leaching显示文摘 | Aixiang Wu Shenghua Yin Wenqing Qin Jishan Liu Guanzhou Qiu | 2008 | Hydrometallurgy2008，，： | 1 |
| 7 | Susceptibility behaviour and specific heat anomaly in single crystals of alanine and valine显示文摘 | Wenqing Wang Xiangrong Sheng Haofang Jin Jilan Wu Bo Yin Jingwei Li Zhongxian Zhao Hongshun Yang Fengming Lou Zhizhong Zhuang Guanyuan Yu Lei Shi Zhaojia Chen | 1996 | Journal of Biological Physics1996，，2： | 1 |
| 8 | Rice seeds identification based on back propagation neural network model显示文摘Rice quality directly affects the final rice yield.In order to achieve rapid,non-destructive testing of rice seeds,this paper combines the three-dimensional laser scanning technology and back propagation(BP)neural network algorithm to build a rice seeds identification platform.The information on rice seed surface is collected from four angles and processed using Geomagic Studio software.Based on the noise filtering,smoothing of the point cloud,vulnerability repair,and downsampling,the three-dimensional(3D)morphological characteristics of a rice seed surface,and the projection features of the main plane cross-section are obtained through the calculation of the features.The experiments were performed on five rice varieties,including Da Hua aromatic glutinous,Hong ShiⅠ,Tian You VIII,Xin Dao X,and Yu Jing VI.The resulting input vector consisted respectively of:(1)nine 3D morphological surface features,(2)nine projection features of the main cross-section plane of rice,and(3)all of the above features.The results showed that for an input vector consisting of nine surface 3D morphological features,the recognition rate of the five rice varieties was 95%,96%,87%,93%,and 89%,respectively;for an input vector consisting of nine projection features of the main cross-section plane of rice seeds,the recognition rate was 96%,96%,90%,92%,and 89%,respectively;and lastly,for an input vector consisting of all the features,the highest recognition rate of 96%,97%,91%,94%,and 90%,respectively,was achieved.The analysis showed that rice varieties could be identified by using 3D laser scanning.Therefore,the proposed method can improve the accuracy of rice varieties identification. | Xuebin Feng Peijun He Huaxi Zhang Wenqing Yin Yan Qian Peng Cao Fei Hu | 2019 | International Journal of Agricultural and Biological Engineering2019，12，6： | 1 |
| 9 | Modification of non-template synthesized ferrierite/ZSM-35 forn-butene skeletal isomerization to isobutylene显示文摘 | Xu Wenqing Yin Yuangen Suib Steven L | 1996 | Journal of Catalysis1996，163，2： | 1 |
| 10 | Coke for- mation and its effects on shape selective adsorptive and cat- alytic properties of ferriefite显示文摘 | Xu Wenqing Yin Yuangen Steven L Suib | 1995 | Physical Chemistry1995，99，2： | 1 |
| 11 | Solar Active Region Magnetogram Generation by Attention Generative Adversarial Networks显示文摘Learning the mapping of magnetograms and EUV images is important for understanding the solar eruption mechanism and space weather forecasting.Previous works are mainly based on the pix2pix model for full-disk magnetograms generation and obtain good performance.However,in general,we are more concerned with the magnetic field distribution in the active regions where various solar storms such as the solar flare and coronal mass ejection happen.In this paper,we fuse the self-attention mechanism with the pix2pix model which allows more computation resource and greater weight for strong magnetic regions.In addition,the attention features are concatenated by the Residual Hadamard Production(RHP) with the abstracted features after the encoder.We named our model as RHP-attention pix2pix.From the experiments,we can find that the proposed model can generate magnetograms with finer strong magnetic structures,such as sunspots.In addition,the polarity distribution of generated magnetograms at strong magnetic regions is more consistent with observed ones. | Wenqing Sun Long Xu Yin Zhang Dong Zhao Fengzhen Zhang | 2023 | Research in Astronomy and Astrophysics2023，23，2： | 0 |
| 12 | Tailoring the selective adsorption sites of NiMoO by Ni particles for biomass upgrading assisted hydrogen production显示文摘5-Hydroxymethylfurfural electrooxidation reaction(HMFOR)is a promising route to produce valueadded chemicals from biomass.Since it involves HMF adsorption and C-H/O-H cleavage,understanding the adsorption behavior and catalytic process of organic molecules on catalysts is important.Herein,the selective adsorption sites of NiMoO are tuned by Ni particles for HMFOR-assisted H2production.Experimental and theoretical calculation results indicate that the synergistic interaction between Ni and NiMoO optimizes the adsorption/desorption of HMF/intermediates/2,5-furandicarboxylic acid(FDCA)and promotes the C-H/O-H bond cleavage,thereby improving the HMFOR kinetics(kNiMoO-Ni/kNiMoO=1.97)and FDCA selectivity(99.3%).When coupled as a two-electrode system,it can drive efficient HMF conversion(FDCA yield:98.5%)and H2production(Faradaic efficiency:99.1%)at 1.45 V.This work thus offers a strategy to tune the adsorption sites of catalyst for efficient HMFOR-assisted H2production. | Jia Wu Zhixiang Zhai Tianqi Yu Xizi Wu Shuaiqin Huang Wenqing Cao Yixuan Jiang Jinge Pei Shibin Yin | 2023 | Journal of Energy Chemistry2023，，11： | 0 |
| 13 | Tuning 2D magnetism in Fe_(3+X)GeTe_(2) films by element doping显示文摘Two-dimensional(2D)ferromagnetic materials have been discovered with tunable magnetism and orbital-driven nodal-line features.Controlling the 2D magnetism in exfoliated nanoflakes via electric/magnetic fields enables a boosted Curie temperature(T_(C))or phase transitions.One of the challenges,however,is the realization of high T_(C) 2D magnets that are tunable,robust and suitable for large scale fabrication.Here,we report molecular-beam epitaxy growth of wafer-scale Fe_(3+X)GeTe_(2) films with T_(C) above room temperature.By controlling the Fe composition in Fe_(3+X)GeTe_(2),a continuously modulated T_(C) in a broad range of 185–320 K has been achieved.This widely tunable TC is attributed to the doped interlayer Fe that provides a 40%enhancement around the optimal composition X=2.We further fabricated magnetic tunneling junction device arrays that exhibit clear tunneling signals.Our results show an effective and reliable approach,i.e.element doping,to producing robust and tunable ferromagnetism beyond room temperature in a large-scale 2D Fe_(3+X)GeTe_(2) fashion. | Shanshan Liu Zihan Li Ke Yang Enze Zhang Awadhesh Narayan Xiaoqian Zhang Jiayi Zhu Wenqing Liu Zhiming Liao Masaki Kudo Takaaki Toriyama Yunkun Yang Qiang Li Linfeng Ai Ce Huang Jiabao Sun Xiaojiao Guo Wenzhong Bao Qingsong Deng Yanhui Chen Lifeng Yin Jian Shen Xiaodong Han Syo Matsumura Jin Zou Yongbing Xu Xiaodong Xu Hua Wu Faxian Xiu | 2022 | National Science Review2022，9，6： | 0 |
| 14 | Incidence and risk factors of early transient intraocular pressure elevation after canaloplasty for primary open-angle glaucoma显示文摘Glaucoma is one of the most common optic neuropathies,featuring progressive retinal ganglion cell damage and visual field loss(Tham et al.,2014;Xu et al.,2020).Currently,the only effective treatment for this condition is the reduction of intraocular pressure(IOP)(Palmberg,2001;Heijl et al.,2002).Canaloplasty is a proven bleb-independent surgery with good efficacy and safety profiles in primary open-angle glaucoma(POAG)(Gołaszewska et al.,2021).However,early transient postoperative IOP elevation has been reported in up to 30%of cases(Riva et al.,2019),similar to that commonly observed in other internal drainage glaucoma surgeries such as implantation using iStent(0%–21.0%),CyPass(10.8%),and Hydrus(4.8%–6.5%)(Lavia et al.,2017). | Lijuan XU Xinyao ZHANG Yang CAO Yin ZHAO Juan GU Wenqing YE Xiaojie WANG Jinxin LI Ruiyi REN Yuanbo LIANG | 2023 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2023，24，4： | 0 |
| 15 | Diagnosis and Treatment of a Case of Leydig Cell Tumor in Dogs显示文摘Based on such diagnostic measures as clinical diagnosis and lab etiological examination,the disease was diagnosed as Leydig cell tumor in dogs. Combined with the clinical examination results of the dog,testicular tumor removal operation was conducted,and the prognosis was favorable. | Xiang Jinmei Yin Hongbin Li Wenqing Wan Chunyun | 2014 | Animal Husbandry and Feed Science2014，6，4： | 0 |
| 16 | Growth suppressor lingerer regulates bantam microRNA to restrict organ size显示文摘The evolutionarily conserved Hippo signaling pathway plays an important role in organ size control by regulating cell proliferation and apoptosis.Here,we identify Lingerer(Lig)as a growth suppressor using RNAi modifying screen in Drosophila melanogaster.Loss of lig increases organ size and upregulates bantam(ban)and the expression of the Hippo pathway target genes,while overexpression of lig results in diminished ban expression and organ size reduction.We demonstrate that Lig C-terminal exhibits dominant-negative function on growth and ban expression,and thus plays an important role in organ size control and ban regulation.In addition,we provide evidence that both Yki and Mad are essential for Lig-induced ban expression.We also show that Lig regulates the expression of the Hippo pathway target genes partially via Yorkie.Moreover,we find that Lig physically interacts with and requires Salvador to restrict cell growth.Taken together,we demonstrate that Lig functions as a critical growth suppressor to control organ size via ban and Hippo signaling. | Liang Dong Jinhui Li Hongling Huang Meng-Xin Yin Jinjin Xu Peixue Li Yi Lu Wenqing Wu Hang Yang Yun Zhao Lei Zhang | 2015 | Journal of Molecular Cell Biology2015，7，5： | 0 |
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