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| 1 | Human mesenchymal stem cells inhibit metastasis of a hepatocellular carcinoma model using the MHCC97‐H cell line显示文摘 | Guo‐CaiLi Qing‐HaiYe Yu‐HuaXue Hai‐JingSun Hai‐JunZhou NingRen Hu‐LiangJia JiongShi Jin‐CaiWu ChunDai Qiong‐ZhuDong | 2010 | Cancer Science2010，，12： | 1 |
| 2 | Development of Measuring System of Plant Electrical Potential and Its Application显示文摘Based on the characters of plant potentials, it introduced the construction and technology in developing the measuring system of plant electrical potentials, the input impedance of the amplifier must be enough high(= 1010~ 1012Ω) in order to measuring the plant weak signals and ensuring high common mode rejection ratio (CMRR). And wavelet transform was applied in denoising based on cross-validation (CV)threshold value. the experiment showed that this system could effectively detect the change of plant potentials,four-week old cucumber was stimulated by heat wounding, the variation potential (VP) and action potential(AP) would be evoked, the AP's varying amplitude can reach 40mV; the AP changed very fast, its duration time is about 0.01~0.02s and its amplitude often change from 15μV~5mV. | Yu Haiye Li Guochen Ma Chenglin | 2005 | 仪器仪表学报2005，26，z1： | 1 |
| 3 | Straw Segmentation Algorithm Based on Modified UNet in Complex Farmland Environment显示文摘Intelligent straw coverage detection plays an important role in agricultural production and the ecological environment.Traditional pattern recognition has some problems,such as low precision and a long processing time,when segmenting complex farmland,which cannot meet the conditions of embedded equipment deployment.Based on these problems,we proposed a novel deep learning model with high accuracy,small model size and fast running speed named Residual Unet with Attention mechanism using depthwise convolution(RADw–UNet).This algorithm is based on the UNet symmetric codec model.All the feature extraction modules of the network adopt the residual structure,and the whole network only adopts 8 times the downsampling rate to reduce the redundant parameters.To better extract the semantic information of the spatial and channel dimensions,the depthwise convolutional residual block is designed to be used in feature maps with larger depths to reduce the number of parameters while improving the model accuracy.Meanwhile,the multi–level attention mechanism is introduced in the skip connection to effectively integrate the information of the low–level and high–level feature maps.The experimental results showed that the segmentation performance of RADw–UNet outperformed traditional methods and the UNet algorithm.The algorithm achieved an mIoU of 94.9%,the number of trainable parameters was only approximately 0.26 M,and the running time for a single picture was less than 0.03 s. | Yuanyuan Liu Shuo Zhang Haiye Yu Yueyong Wang Yuehan Feng Jiahui Sun Xiaokang Zhou | 2021 | Computers, Materials & Continua2021，，1： | 1 |
| 4 | Study of Spectral Response Characteristics of Oilseed Rape (Brassica napus) to Particulate Matters Based on Hyper-Spectral Technique显示文摘Haze is mainly caused by the suspended particulate matters in the air,of which the particulate matters pollution harms leaf vegetables.In this paper,oilseed rapes at four different growing periods were investigated in a simulated particulate pollution environment.In combination of hyper-spectral technology and micro examination,the response of hyper-spectral characteristics of the leaf to particulate matters was investigated in-depth.The hyperspectral,chlorophyll content,net photosynthetic rate and stomatal conductance of leaf were obtained.The deposition and adsorption of particulate matters on the leaf were observed by Environmental Scanning Electron Microscope(ESEM).Normalized difference vegetation index(NDVI),modified red edge normalized(mNDVI705)and modified red edge simple ratio index(mSR705)were selected as characteristic parameters and the range of 510 nm~620 nm as the sensitive band.16 methods were used to establish the physiological information inversion model.The main results were as follows:Under the influence of particulate matters,the spectral reflectance decreased as a whole.With the increase of leaf age,the phenomenon of blue shift aggravated.The amplitude of yellow and blue edge decreased with overall decreasing vegetation indices.The furrows and irregular band protrusions in leaves were favorable for keeping particulate matters.With longer affecting time and more deposition of particle matters on the leaf,the stomatal opening became smaller.After comparing,principal component regression(PCR)+multiple scatter correction(MSC)+second derivative(SD)+Savitzky-Golay smooth(SG),and partial least square(PLS)+multiple scatter correction(MSC)+first derivative(FD)+Savitzky-Golay smooth(SG)were determined the best method to establish the inversion model of chlorophyll content and net photosynthetic rate respectively.This study may bring novel ideas for the diagnosis and analysis of the physiological response of leaf vegetables under particulate matters pollution using hyper-spectral technology. | Lijuan Kong Haiye Yu Zhaojia Piao Meichen Chen Jingmin Dang Lei Zhang Yuanyuan Sui | 2021 | Phyton-International Journal of Experimental Botany2021，90，3： | 0 |
| 5 | Mode of Managing Nutrient Solution Based on N Use Efficiency for Lettuce (Lactuca sativa L.)显示文摘 | Ibraimo Teleha Chabite Zhang Lei Yao Ningning Fu Qiang Yu Haiye | 2017 | Journal of Food Science and Engineering2017，7，1： | 0 |
| 6 | Effects of Particle Matters on Plant: A Review显示文摘The particle matter,particularly the suspended particle matter(PM≤2.5)in the air is not only a risk factor for human health,but also affects the survival and physiological features of plants.Plants show advantages in the adsorption of particle matter,while the factors,such as the leaf shape,leaf distribution density and leaf surface microstructure,such as grooves,folds,stomata,flocculent projections,micro-roughness,long fuzz,short pubescence,wax and secretory products,appeared to play an important role determing their absorption capacity.In this paper,the research progress on the capture or adsorption of atmospheric particles was summarized,and the forest vegetation and woody plants were discuessed.In addition,special attentions were paid to the effect of haze-fog weather on greenhouse plant,the different responses of plant leaves to dust particles and suspended particles,as well as the effect of suspended particles on morphological change of plants.In the future,research should focus on the mechanism of the influence of particulate matter on plants.More advanced effective and convenient research methods like spectral detection method also need to be developed.This paper may provide reference for future studies on plants’response to haze and particle matter. | Lijuan Kong Haiye Yu Meichen Chen Zhaojia Piao Jingmin Dang Yuanyuan Sui | 2019 | Phyton-International Journal of Experimental Botany2019，88，4： | 0 |
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