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25篇 您的检索式:作者名="Keping Yu"
    题名 作者 年代 出处 被引量
1Climate and litter C/N ratio constrain soil organic carbon accumulation显示文摘Soil organic carbon(SOC) plays critical roles in stabilizing atmospheric CO2 concentration, but the mechanistic controls on the amount and distribution of SOC on global scales are not well understood. In turn, this has hampered the ability to model global C budgets and to find measures to mitigate climate change. Here, based on the data from a large field survey campaign with 2600 plots across China’s forest ecosystems and a global collection of published data from forested land, we find that a low litter carbon-to-nitrogen ratio(C/N) and high wetness index(P/PET, precipitation-to-potentialevapotranspiration ratio) are the two factors that promote SOC accumulation, with only minor contributions of litter quantity and soil texture. The field survey data demonstrated that high plant diversity decreased litter C/N and thus indirectly promoted SOC accumulation by increasing the litter quality. We conclude that any changes in plant-community composition, plant-species richness and environmental factors that can reduce the litter C/N ratio, or climatic changes that increase wetness index, may promote SOC accumulation. The study provides a guideline for modeling the carbon cycle of various ecosystem scales and formulates the principle for land-based actions for mitigating the rising atmospheric CO2 concentration.Guoyi Zhou Shan Xu Philippe Ciais Stefano Manzoni Jingyun Fang Guirui Yu Xuli Tang Ping Zhou Wantong Wang Junhua Yan Gengxu Wang Keping Ma Shenggong Li Sheng Du Shijie Han Youxin Ma Deqiang Zhang Juxiu Liu Shizhong Liu Guowei Chu Qianmei Zhang Yuelin Li Wenjuan Huang Hai Ren Xiankai Lu Xiuzhi Chen 2019National Science Review2019,6,4:21
2Interactive effects of water and nitrogen addition on soil microbial communities in a semiarid steppe显示文摘Aims Better understanding of microbial compositional and physiological acclimation mechanisms is critical for predicting terrestrial ecosystem responses to global change.The aim is to assess variations in soil microbial communities under future scenarios of changing precipitation and N deposition in a semiarid grassland of northern China.Methods In order to explicitly estimate microbial responses,a field experiment with water and N addition was established in April 2005 and continuously conducted for 4 years.Specifically,soil microbial community composition and microbial C utilization potential were determined by phospholipid fatty acid(PLFA)and community-level physiological profiles,respectively.Important Findings Water addition had no effects on the PLFA concentrations of grampositive(GP)and negative bacteria(GN),total bacteria and fungi.However,N addition caused significant reductions in the PLFA concentrations of GP,GN,total bacteria and fungi and thus decreased total PLFA of microbial communities.Moreover,there were interactive effects of water and N addition on GN/GPand the ratio of fungal to bacterial PLFA(F/B).In addition,synergistic effects were found between water and nitrogen in affecting microbial C utilization potentials,which implies that microbial C utilization potentials tend to be enhanced when both N and water availability are sufficient.Overall,the microbial responses to water and N addition support our hypothesis that water and N addition may be combined together to affect microbial communities in the semiarid grassland.Jie Bi Naili Zhang Yu Liang Haijun Yang Keping Ma 2012Journal of Plant Ecology2012,5,3:21
3Interspecific and intraspecific variation in specific root length drives aboveground biodiversity effects in young experimental forest stands显示文摘Aims Although the net biodiversity effect(NE)can be statistically partitioned into complementarity and selection effects(CE and SE),there are different underlying mechanisms that can cause a certain partitioning.Our objective was to assess the role of resource partitioning and species interactions as two important mechanisms that can bring about CEs by interspecific and intraspecific trait variation.Methods We measured tree height of 2493 living individuals in 57 plots and specific root length(SRL)on first-order roots of 368 of these individuals across different species richness levels(1,2,4,8 species)in a large-scale forest biodiversity and ecosystem functioning experiment in subtropical China(BEF-China)established in 2009.We describe the effects of resource partitioning between species by a fixed component of interspecific functional diversity(RaoQ)and further effects of species interactions by variable components of interspecific and intraspecific functional diversity(community weighted trait similarity and trait dissimilarity,CWS and CWD).Finally,we examined the relationships between biodiversity effects on stand-level tree height and functional diversity(RaoQ,CWS and CWD)in SRL using linear regression and assessed the relative importance of these three components of functional diversity in explaining the diversity effects.Important Findings Our results show that species richness significantly affected SRL in five and tree height in ten out of 16 species.A positive NE was generally brought about by a positive CE on stand-level tree height and related to high values of RaoQ and CWS in SRL.A positive CE was related to high values of all three components of root functional diversity(RaoQ,CWS and CWD).Our study suggests that both resource partitioning and species interactions are the underlying mechanisms of biodiversity effects on stand-level tree growth in subtropical forest.Wensheng Bu Bernhard Schmid Xiaojuan Liu Ying Li Werner Härdtle Goddert von Oheimb Yu Liang Zhenkai Sun Yuanyuan Huang Helge Bruelheide Keping Ma 2017Journal of Plant Ecology2017,10,1:18
4Expression of non-structural protein NS3 gene of Bombyx mori densovirus (China isolate)显示文摘The invertebrate parvovirus Bombyx mori Densonucleosis Virus type 3 (China isolate), named BmDNV-3, is a kind of bidensovirus. It is a new type of virus with unique replication mechanisms. To investigate the effects of the NS3 gene during viral DNA replication, a pair of primers was designed for amplifying NS3 gene of Bombyx mori densovirus (China isolate). Gene NS3 amplified was cloned into a prokaryotic expression vector pET-30a and the donor plasmid pFastBacHTe, respectively. The NS3 protein was expressed in Escherichia coli BL21. The pFastBacHTe-NS3 was transformed to E. coli DH10Bac. The recombinant bacmid baculoviruses (rBacmid-EGFP-NS3) isolated from the white colonies were transfected into BmN-4 cells using a transfection reagent. BmN-4 cells were infected with recom-binant virus to express fusion proteins. The expression of fusion protein around 30 kDa in E. coli BL21 was identified by SDS-PAGE, Western blotting, and mass spectrometry. The expressed NS3 protein by B. mori nucleopolyhedrovirus bacmid system was confirmed by Western blotting using an anti-NS3 polyclonal antibody. And about 45 kDa protein was found. The expressed fusion protein was smaller than the expected size of EGFP-NS3, 55 kDa. Western blotting analysis indicated that EGFP-NS3 protein was expressed in infected lar-vae with smaller molecular size.Huijuan Yin Qin Yao Zhongjian Guo Fang Bao Wei Yu Jun Li Keping Chen 2008Journal of Genetics and Genomics2008,35,4:7
5Compensatory effects between Pinus massoniana and broadleaved tree species显示文摘Aims Evaluation of the interaction intensity between Masson pine(Pinus massoniana)and broadleaved trees will facilitate selecting tree combinations suitable for reforestation in abandoned sites in subtropical areas.Methods Pinus massoniana and seven broadleaved trees species were grown either in monoculture or in two-species mixture.Biomass of tree species was measured and inter-specific interactions were estimated using log response ratio.Test of homogeneity of variances was performed to compare the stability of biomass in the monoculture of the broadleaved trees with that in the mixture.Important Findings Our results showed that the direction and intensity of interactions between P.massoniana and the broadleaved trees varied from year to year and the identity of the broadleaved species.Facilitative interactions were found between Camellia oleifera,Rhus chinensis and P.massoniana.Pinus massoniana had competitive effects on Lithocarpus glaber,Cyclobalanopsis glauca and Elaeocarpus japonicus.Significantly negative relations were found between biomass of P.massoniana and the broadleaved trees in the third year of the experiment,and the compensatory effects between P.massoniana and the broadleaved trees may be involved in stability maintenance in the multi-species forests in the subtropical area.The results of homogeneity test of variances also showed that the biomass per pot in the mixture had significantly lower variances than that in the monoculture,suggesting that total biomass is more stable in the mixture than the monoculture.Qian Li Yu Liang Bo Tong Xiaojun Du Keping Ma 2010Journal of Plant Ecology2010,3,3:2
6Challenge-based collaborative intrusion detection in software-defined networking: An evaluation显示文摘Software-Defined Networking(SDN)is an emerging architecture that enables a computer network to be intelligently and centrally controlled via software applications.It can help manage the whole network environment in a consistent and holistic way,without the need of understanding the underlying network structure.At present,SDN may face many challenges like insider attacks,i.e.,the centralized control plane would be attacked by malicious underlying devices and switches.To protect the security of SDN,effective detection approaches are indispensable.In the literature,challenge-based collaborative intrusion detection networks(CIDNs)are an effective detection framework in identifying malicious nodes.It calculates the nodes'reputation and detects a malicious node by sending out a special message called a challenge.In this work,we devise a challenge-based CIDN in SDN and measure its performance against malicious internal nodes.Our results demonstrate that such a mechanism can be effective in SDN environments.Wenjuan Li Yu Wang Zhiping Jin Keping Yu Jin Li Yang Xiang 2021Digital Communications and Networks2021,7,2:2
7Preparation and characterization of form-stable paraffin/polyurethane com- posites as phase change materials for thermal energy storage 显示文摘Chen Keping Yu Xuejiang Tian Chunrong 2014Energy Conversion and Management2014,77,8:1
8Theoretical analysis of PAM-N and M-QAM BER computation with single-sideband signal显示文摘In this paper,the theoretical bit error rate(BER)of N-level pulse amplitude modulation(PAMN)and M-ary quadrature amplitude modulation(M-QAM)have been studied and compared under different scenarios,including(i)PAM with intensity modulation with direct detection(IM/DD)and field modulation with detection(FMD)(including coherent detection and single-sideband modulation with direct detection(SSB-DD)),and(ii)QAM with coherent detection and SSB-DD.Considering the relationship between the symbol spacing and signal-to-noise ratio(SNR),we provide the mathematical BER equations,including the optical signal-to-noise ratio(OSNR)and carrier-to-signal power ratio(CSPR),especially for PAM signals.To verify the validity of our theoretical expressions for SSB systems,transmissions with 224-Gb/s SSBPAM4/16QAM signals using the Kramers-Kronig(KK)receiver were implemented on a unified optical system platform.The simulation results agreed well with theoretical calculations both in back-to-back(BtB)and 120-km transmission scenarios,which showed that the BER evaluation methods can serve as a theoretical guidance and system assessment criteria for SSB scenarios.Dongxu LU Xian ZHOU Yuqiang YANG Jiahao HUO Jinhui YUAN Keping LONG Changyuan YU Alan Pak Tao LAU Chao LU 2021Science China(Information Sciences)2021,64,8:1
9Research on field calculation & safety evaluation in powder silo显示文摘SUN Keping YU Geffei 1998Electrostatics1998,44,12:1
10Tissue microarray analysis reveals strong clinical evidence for a close association between loss of annexin A1 expression and nodal metastasis in gastric cancer显示文摘Guanzhen Yu Jiejun Wang Ying Chen Xi Wang Jun Pan Qiang Li Keping Xie 2008Clinical & Experimental Metastasis2008,,7:1
11Urbanization Effect of Highways in the Pearl River Delta显示文摘Based on TM images,ArcGIS and landscape ecology,4 typical roads in the Pearl River Delta are taken for example to analyze infl uence range of highway,and study the laws of highway construction infl uencing landscape patterns by reviewing landscape pattern changes in areas along the highways. According to the research,for Yuebei Section(north Guangdong) of Beijing–Zhuhai Highway,road construction has signifi cant infl uence on landscape patterns of the 300-m wide buffer zone(especially woodland and urban land); for Foshan–Kaiping Highway,road construction has significant influence on landscape patterns of the 1,000-m wide buffer zone(especially woodland and agricultural land); for Dongguan–Shenzhen Highway,road construction has signifi cant infl uence on landscape patterns of the 8,000-m wide buffer zone(especially woodland and urban land).CHEN Mingnan WANG Dongdong YU Keping ZHANG Xin 2013Journal of Landscape Research2013,5,Z3:1
12Research on field calculation & safety evaluation in powder silo 显示文摘Sun Keping Yu Ge-fei 1998J Electrostatics1998,,44:1
13Wound-induced HB-EGF ectodomain shedding and EGFR activation in corneal epithelial cells显示文摘Xu Keping Yu Ding Ling Jianhua 2004Invest Ophthalmol Vis Sci2004,45,3:1
14Governance and Good Governance: A New Framework for Political Analysis显示文摘Yu Keping 2018Fudan Journal of the Humanities and Social Sciences2018,11,1:1
153D Reconstruction for Motion Blurred Images Using Deep Learning-Based Intelligent Systems显示文摘The 3D reconstruction using deep learning-based intelligent systems can provide great help for measuring an individual’s height and shape quickly and accurately through 2D motion-blurred images.Generally,during the acquisition of images in real-time,motion blur,caused by camera shaking or human motion,appears.Deep learning-based intelligent control applied in vision can help us solve the problem.To this end,we propose a 3D reconstruction method for motion-blurred images using deep learning.First,we develop a BF-WGAN algorithm that combines the bilateral filtering(BF)denoising theory with a Wasserstein generative adversarial network(WGAN)to remove motion blur.The bilateral filter denoising algorithm is used to remove the noise and to retain the details of the blurred image.Then,the blurred image and the corresponding sharp image are input into the WGAN.This algorithm distinguishes the motion-blurred image from the corresponding sharp image according to the WGAN loss and perceptual loss functions.Next,we use the deblurred images generated by the BFWGAN algorithm for 3D reconstruction.We propose a threshold optimization random sample consensus(TO-RANSAC)algorithm that can remove the wrong relationship between two views in the 3D reconstructed model relatively accurately.Compared with the traditional RANSAC algorithm,the TO-RANSAC algorithm can adjust the threshold adaptively,which improves the accuracy of the 3D reconstruction results.The experimental results show that our BF-WGAN algorithm has a better deblurring effect and higher efficiency than do other representative algorithms.In addition,the TO-RANSAC algorithm yields a calculation accuracy considerably higher than that of the traditional RANSAC algorithm.Jing Zhang Keping Yu Zheng Wen Xin Qi Anup Kumar Paul 2021Computers, Materials & Continua2021,,2:1
16Soil microbial responses to warming and increased precipitation and their implications for ecosystem C cycling显示文摘Naili Zhang Weixing Liu Haijun Yang Xingjun Yu Jessica L. M. Gutknecht Zhe Zhang Shiqiang Wan Keping Ma 2013Oecologia2013,,3:1
17“IntroductiontoGovernanceandGoodGovernance”(治理和善治引论)显示文摘Yu Keping 1999马克思主义与现实1999,5,:1
18Multi-stemming strategies of Quercus glauca in an evergreen broad-leaved forest: when and where显示文摘多茎干萌生策略可赋予树木抗干扰能力。在山地生境中,树木的多茎干萌生有助于维持土壤稳定性以及森林生态系统功能的稳定性。但对于多茎干萌生在何时(个体发育阶段偏好)、何地(生境偏好)发生,以及个体发育阶段和生境因子是否存在关联尚不了解。本文基于钱江源国家公园古田山5 ha亚热带常绿阔叶林监测样地,研究了99个20 m×20 m样方内常见树种青冈(Quercus glauca)萌生的发生时间与空间分布规律。研究结果表明,青冈种群内存在3种萌生模式,大部分个体在生活史早期阶段即幼苗或者幼树阶段出现多茎干萌生。与凹凸度有关的环境干扰可能是青冈多茎干萌生的主要驱动因素。此外,距离海拔较高的山脊越近,青冈多茎干萌生发生的越早。这一发现,强调了考虑个体发育的重要性。因此,在研究其他森林或气候带中树种多茎干萌生策略的环境驱动因素时,要结合考虑个体发育,以期更好的理解多茎干萌生策略及其对群落结构与功能的影响.Mide Rao Duo Ye Jianhua Chen Jian Ni Xiangcheng Mi Mingjian Yu Keping Ma Johannes H.C.Cornelissen 2020Journal of Plant Ecology2020,13,6:0
19Effects of functional phylogeny of light-response-related orthologous genes on seedling survival in a subtropical forest显示文摘Background: Light is an important environmental factor affecting the growth and survival of plants in forest communities. The competition for light resources and divergent responses to light may affect plant species coexistence in natural forests through niche partitioning and environmental filtering, respectively.Methods: In the present study, sequences of light-response-related functional genes were extracted from transcriptomic data of 99 tree species in a subtropical forest and average and nearest taxon phylogenetic diversity of adult(A_Apd’, A_NTpd’) and seedling neighbors(S_Apd’, S_NTpd’) around each focal seedling were calculated to evaluate effects of differentiation in light-response-related genes on community assembly processes.Results: The results showed that seedling survival was related to S_NTpd’, S_Apd’and A_Apd’of two chlorophyll ab-binding proteins involved in the assembly of photosystem Ⅱ and two genes responsive to light intensity,indicating seedlings surrounded by neighbors with distinct light responses tended to have high survival rates.Conclusions: Our results indicated that niche partitioning due to competition for light resources between plants may act as the key mechanism in determining seedling dynamics in subtropical forests.Hui Shang Yunquan Wang Baocai Han Xiangcheng Mi Lei Chen Yu Liang Keping Ma 2023Forest Ecosystems2023,10,1:0
20Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine显示文摘The crowd sensing technology can realize the sensing and computing of people,machines,and environment in smart industrial IoT-based coal mine,which provides a solution for safety monitoring through distributed intelligence optimization.However,due to the difficulty of neural network training to achieve global optimality and the fact that traditional LSTM methods do not consider the relationship between adjacent machines,the accuracy of human body position prediction and pressure value prediction is not high.To solve these problems,this paper proposes a smart industrial IoT empowered crowd sensing for safety monitoring in coal mine.First,we propose a Particle Swarm Optimization-Elman Neural Network(PE)algorithm for the mobile human position prediction.Second,we propose an ADI-LSTM neural network prediction algorithm for pressure values of machines supports in underground mines.Among them,our proposed PE algorithm has the lowest average cumulative prediction error,and the trajectory fit rate is improved by 24.1%,13.9%and 8.7%compared with Kalman filtering,Elman and Kalman plus Elman algorithms,respectively.Meanwhile,compared with single-input ARIMA,RNN,LSTM,and GRU,the RMSE values of our proposed ADI-LSTM are reduced by 36.6%,52%,32%,and 13.7%,respectively;and the MAPE values are reduced by 0.0003%,0.9482%,1.1844%,and 0.3620%,respectively.Jing Zhang Qichen Yan Xiaogang Zhu Keping Yu 2023Digital Communications and Networks2023,9,2:0
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