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| 1 | De novo assembly of a Chinese soybean genome显示文摘Soybean was domesticated in China and has become one of the most important oilseed crops. Due to bottlenecks in their introduction and dissemination, soybeans from different geographic areas exhibit extensive genetic diversity. Asia is the largest soybean market; therefore, a high-quality soybean reference genome from this area is critical for soybean research and breeding.Here, we report the de novo assembly and sequence analysis of a Chinese soybean genome for 'Zhonghuang 13' by a combination of SMRT, Hi-C and optical mapping data. The assembled genome size is 1.025 Gb with a contig N50 of 3.46 Mb and a scaffold N50 of 51.87 Mb. Comparisons between this genome and the previously reported reference genome(cv. Williams82) uncovered more than 250,000 structure variations. A total of 52,051 protein coding genes and 36,429 transposable elements were annotated for this genome, and a gene co-expression network including 39,967 genes was also established. This high quality Chinese soybean genome and its sequence analysis will provide valuable information for soybean improvement in the future. | Yanting Shen Jing Liu Haiying Geng Jixiang Zhang Yucheng Liu Haikuan Zhang Shilai Xing Jianchang Du Shisong Ma Zhixi Tian | 2018 | Science China(Life Sciences)2018，61，8： | 11 |
| 2 | Use of Probiotics in Aquaculture显示文摘Diseases of cultured animal and environmental pollution are very important problems in aquaculture. The use of probiotics in aquaculture has more advantages than the use of antibiotics and chemicals in aquaculture. This review introduces the use and mechanisms of the probiotics in aquaculture. | 王祥红 Du Zongjun Chen Jixiang Li Yun Ji Weishang Xu Huaishu | 2002 | High Technology Letters2002，8，3： | 6 |
| 3 | A constructive hybrid structure optimization methodology for radial basis proba- bilistic neural networks 显示文摘 | HUANG Deshuang DU Jixiang | 2008 | IEEE Transactions on Neural Networks / a Publication of the IEEE Neural Networks Council2008，19，12： | 1 |
| 4 | Leaf shape based plant species recognition显示文摘 | Du Jixiang Wang Xiaofeng Zhang Guojun | | 0，，02： | 1 |
| 5 | Shape recognition based on radial basis probabilistic neural network and application to plant species identification显示文摘 | Du Jixiang Huang D S Wang Xiaofeng | 2005 | Lecture Notes in Computer Science Springer-Verlag2005，3497，： | 1 |
| 6 | Retention of virulence in a viable but nonculturable Edwardsiella tarda isolate显示文摘 | Du m Jixiang Chen Xiaohua Zhang | 2007 | Applied and environmental microbiology2007，，： | 1 |
| 7 | Leaf recognition based on the skeleton segmentation显示文摘 | Gu Xiao Du Jixiang | 2005 | Lecture Notes in Computer Science Springer-Verlag2005，3644，： | 1 |
| 8 | Simulation of the neck growth of non-isometric biosphere during initial sintering显示文摘Because powders are mostly non-isometric during the sintering process,copper pow-ders were chosen to study the effects of four material transport mechanisms,including surface diffusion,grain-boundary diffusion,volume diffusion,and multi-couplings.These material transport mechanisms were studied with respect to sintering neck growth of a non-isometric biosphere during initial sintering.The evolution of the neck growth in the four transport mechanisms was simulated by Visual C++ as well based on the model of di?erent particles.The results show that the increase of the sintering temperature,both the grain-boundary diffusion and volume diffusion play primary roles in neck growth,while surface diffusion gradually becomes the secondary mechanism.Both the sintered neck and the shrinkage of the two centers increase with increasing temperature by means of the coupling diffusion mechanism.The radius of the sintering neck decreased,and the shrinkage rate of the two centers increased with an increase of the diameter ratio of the two spheres. | Jixiang DU Shuhua LIANG Xianhui WANG Zhikang FAN | 2009 | Acta Metallurgica Sinica(English Letters)2009，22，4： | 1 |
| 9 | Classification of plant leaf images with complicated background显示文摘 | Wang Xiaofeng Huang Deshuang Du Jixiang | 2008 | Applied Mathematics and Computation2008，205，2： | 1 |
| 10 | Palmprint recognition using fast ICA algorithm and radial basis probabilistic neural network显示文摘 | Shang Li Huang Deshuang Du Jixiang | 2006 | Neurocomputing2006，69，1315： | 1 |
| 11 | Palmprint Recognition Using Fast ICA Algorithm and Radial Basis Proba- bilistic Neural Network显示文摘 | Shang Li Huang Deshuang Du Jixiang | 2006 | Neuroeomputing2006，69，13： | 1 |
| 12 | Palmprint Recognition Using Fast ICA Algorithm and Radial Basis Probabilistic Neural Network显示文摘 | Shang Li Huang Deshuang Du Jixiang | 2006 | Neurocomputing2006，69，1315： | 1 |
| 13 | Robust feature learning for online discriminative tracking without large-scale pre-training显示文摘Owing to the inherent lack of training data in visual tracking,recent work in deep learning-based trackers has focused on learning a generic representation ofltine from large-scale training data and transferring the pre-trained feature representation to a tracking task.Offline pre-training is time-consuming,and the learned generic representation may be either less discriminative for tracking specific objects or overfitted to typical tracking datasets.In this paper, we propose an online discriminative tracking method based on robust feature learning without large-scale pre-training. Specifically,we first design a PCA filter bank-based convolutional neural network (CNN)architecture to learn robust features online with a few positive and negative samples in the high-dimensional feature space.Then,we use a simple softthresholding method to produce sparse features that are more robust to target appearance variations.Moreover,we increase the reliability of our tracker using edge information generated from edge box proposals during the process of visual tracking.Finally,effective visual tracking results are achieved by systematically combining the tracking information and edge box-based scores in a particle filtering framework.Extensive results on the widely used online tracking benchmark (OTB-50)with 50videos validate the robustness and effectiveness of the proposed tracker without large-scale pre-training. | Jun ZHANG Bineng ZHONG Pengfei WANG Cheng WANG Jixiang DU | 2018 | Frontiers of Computer Science2018，12，6： | 1 |
| 14 | Leaf shape based plant species recognition 显示文摘 | DU Jixiang WANG Xiaofeng ZHANG Guojun | 2007 | Appl Math Comput2007，185，2： | 1 |
| 15 | Study on l uidity of squeeze cast AZ91D magnesium alloy with dif erent wall thicknesses显示文摘Rectangular cross-section specimens with different section thicknesses were prepared to study the infl uences of pouring temperature, mould temperature and squeeze velocity on the fl uidity of squeeze cast AZ91D magnesium alloy by means of orthogonal test design method. The results show that pouring temperature, mould temperature and squeeze velocity can significantly affect the fluidity of magnesium alloy specimens with wall thickness no more than 4 mm, and the pouring temperature is the most infl uential factor on the fl uidity of specimens with wall thickness of 1, 2 and 3 mm, while mould temperature is the one for specimens with wall thickness of 4 mm. Increasing pouring temperature between 700 °C and 750 °C is benefi cial to the fl uidity of AZ91D magnesium alloy, and increasing mould temperature signifi cantly enhances the fi lling ability of thick(3 and 4 mm) section castings. The fl uidity of squeeze cast magnesium alloy increases with the increase of wall thickness. It is not recommended to produce magnesium alloy casting with wall thickness of smaller than 3 mm by squeeze cast process due to the poor fl uidity. The software DPS was used to generate the regression model, and linear regression equations of the fl uidity of squeeze cast AZ91D with different wall thicknesses are obtained using the test results. | Chen Yun Luo Jixiang Du Juan Chen Dingfang | 2014 | China Foundry2014，11，2： | 1 |
| 16 | Shape recognition based on neural networks trained by differential evolution algorithm显示文摘 | DU Jixiang HUANG Deshuang WANG Xiaofeng | 2007 | Neurocomputing2007，70，46： | 1 |
| 17 | Tile selection method based on error minimization for photomosaic image creation显示文摘Photomosaic images are composite images composed of many small images called tiles.In its overall visual effect,a photomosaic image is similar to the target image,and photomosaics are also called“montage art”.Noisy blocks and the loss of local information are the major obstacles in most methods or programs that create photomosaic images.To solve these problems and generate a photomosaic image in this study,we propose a tile selection method based on error minimization.A photomosaic image can be generated by partitioning the target image in a rectangular pattern,selecting appropriate tile images,and then adding them with a weight coefficient.Based on the principles of montage art,the quality of the generated photomosaic image can be evaluated by both global and local error.Under the proposed framework,via an error function analysis,the results show that selecting a tile image using a global minimum distance minimizes both the global error and the local error simultaneously.Moreover,the weight coefficient of the image superposition can be used to adjust the ratio of the global and local errors.Finally,to verify the proposed method,we built a new photomosaic creation dataset during this study.The experimental results show that the proposed method achieves a low mean absolute error and that the generated photomosaic images have a more artistic effect than do the existing approaches. | Hongbo ZHANG Xin GAO Jixiang DU Qing LEI Lijie YANG | 2021 | Frontiers of Computer Science2021，15，3： | 0 |
| 18 | Sketch-based stroke generation in Chinese flower painting显示文摘Dear editor,Flower painting,which is one of the major categories of Chinese painting,represents the key artistic characteristics of oriental paintings.In other words,its typical usages of stroke and ink color contribute to the unique appeal of Chinese painting,since the strokes may be straight or curved,hard or soft,thick or thin,pale or dark,and the ink colors may be dry or running,blending or diffusing.Therefore,the complexity and variety | Lijie YANG Tianchen XU Jixiang DU Enhua WU | 2016 | Science China(Information Sciences)2016，59，7： | 0 |
| 19 | Silence of bFGF enhances chemosensitivity of glioma cells to temozolomide through the MAPK signal pathway显示文摘基本成纤维细胞生长因素(bFGF ) 是在 glioma 细胞的一个多功能的生长因素并且被证明了是 associatedwith glioma 的等级恶意和病人的预后。尽管有证据,证明 bFGF 在 glioma 房间的增长,区别, angiogenesis,和幸存玩 importantrole, chemosensitivityof glioma 上的 bFGF 的效果没被验证。在这研究,我们分析了在 bFGF 和化疗抵抗之间的关系,为 glioma 病人的化疗提供新策略的 withthe 目的。这里, siRNA 习惯于在包括 U87 和 U251 的 glioma 房间线的 expressionof bFGF 由 temozolomide (TMZ ) 的化疗跟随了的沉默。然后,包括增长, apoptosis,移植,和房间周期的人物 ofglioma 在 U87 和 U251 房间线被学习。我们 silencing bFGF 提高了的 resultsdemonstrated 由禁止增长和移植,堵住房间 cyclein G0/G1,并且支持 apoptosis 的 TMZ 的效果。另外, MAPK 的 phosphorylation 水平被测量探索机制 ofchemosensitization。结果证明 bFGF 能支持 MAPK 信号小径的激活。我们的数据 indicatedthat bFGF 可能是为通过 MAPK 信号小径的化疗的一个潜在的目标。 | Qiong Wang Jixiang Du Bin Xu Lixia Xu Xiuyu Wang Jun Liu Jinhuan Wang | 2016 | Acta Biochimica et Biophysica Sinica2016，48，6： | 0 |
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