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| 1 | A draft sequence of the rice (Oryza sativa ssp. indica) genome显示文摘The sequence of the rice genome holds fundamental information for its biology, including physiology, genetics, development, and evolution, as well as information on many beneficial phenotypes of economic significance. Using a 'whole genome shotgun' approach, we have pro-duced a draft rice genome sequence of Oryza sativa ssp. in-dica, the major crop rice subspecies in China and many other regions of Asia. The draft genome sequence is constructed from over 4.3 million successful sequencing traces with an accumulative total length of 2214.9 Mb. The initial assembly of the non-redundant sequences reached 409.76 Mb in length, based on 3.30 million successful sequencing traces with a total length of 1797.4 Mb from an indica variant cultivar 93-11, giving an estimated coverage of 95.29% of the rice genome with an average base accuracy of higher than 99%. The coverage of the draft sequence, the randomness of the sequence distribution, and the consistency of BIG-ASSEM-BLER, a custom-designed software package | YU Jun, HU Songnian, WANG Jun,LI Songgang WONG Ka-Shu Gane, LIU Bin,DENG Yajun, DAI Li, ZHOU Yan,ZHANG Xiuqing, CAO Mengliang, LIU Jing,SUN Jiandong , TANG Jiabin, CHEN Yanjiong,HUANG Xiaobing, LIN Wei, YE Chen, TONG Wei,CONG Lijuan, GENG Jianing, HAN Yujun, LI Lin,LI Wei, HU Guangqiang, HUANG Xiangang,LI Wenjie, LI Jian, LIU Zhanwei, LI Long,LIU Jianping, Ql Qiuhui, LIU Jinsong, LI Li,WANG Xuegang, LU Hong, WU Tingling,ZHU Miao, Nl Peixiang, HAN Hua, DONG Wei,REN Xiaoyu, FENG Xiaoli, GUI Peng,LI Xianran, WANG Hao, XU Xin, ZHAI Wenxue,XU Zhao, ZHANG Jinsong, HE Sijie,ZHANG Jianguo, XU Jichen, ZHANG Kunlin,ZHENG Xianwu, DONG Jianhai, ZENG Wanyong,TAO Lin, CHEN Xuewei, HE Jun, LIU Daofeng,TIAN Wei, TIAN Chaoguang, XIA Hongai,LI Gang, GAO Hui, LI Ping, CHEN Wei ,WANG Xudong, ZHANG Yong, HU Jianfei,WANG Jing, LIU Song, YANG Jian,ZHANG Guangyu, XIONG Yuqing, LI Zhijie,MAO Long, ZHOU Chengshu, ZHU Zhen,CHEN Runsheng, HAO Bailin,ZHENG Weimou, CHEN Shouyi, QUO Wei,LI Guojie, LIU Siqi, HUANG Guyang,TAO Ming, WANG Jian, ZHU Lihuang,YUAN Longping& YANG HuanmingBeijing Genomics Institute/Center of Genomics & Bioinformatics, Chinese Academy of Sciences, Beijing 101300, China Hangzhou Genomics Institute/Institute of Bioinformatics of Zhejiang University/Key Laboratory of Bioinformatics of Zhejiang Province, Hangzhou 310007, China Institute of Genetics, Chinese Academy of Sciences, Beijing 100101, China National Hybrid Rice R & D Center, Changsha 410125, China Laboratory of Bioinformatics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China College of Life Sciences, Peking University, Beijing 100871, China Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 1Q0080, China Digital China Ltd., Beijing 100080, China Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China Medical College, Xi’an Jiaotong University, Xi’an 710061, ChinaThese authors contributed equally to this work.Corresponding author.Corresponden | 2001 | Chinese Science Bulletin2001，46，23： | 6 |
| 2 | A New Safety Assessment Method Based on Belief Rule Base With Attribute Reliability显示文摘Safety assessment is one of important aspects in health management.In safety assessment for practical systems,three problems exist:lack of observation information,high system complexity and environment interference.Belief rule base with attribute reliability(BRB-r)is an expert system that provides a useful way for dealing with these three problems.In BRB-r,once the input information is unreliable,the reliability of belief rule is influenced,which further influences the accuracy of its output belief degree.On the other hand,when many system characteristics exist,the belief rule combination will explode in BRB-r,and the BRB-r based safety assessment model becomes too complicated to be applied.Thus,in this paper,to balance the complexity and accuracy of the safety assessment model,a new safety assessment model based on BRB-r with considering belief rule reliability is developed for the first time.In the developed model,a new calculation method of the belief rule reliability is proposed with considering both attribute reliability and global ignorance.Moreover,to reduce the influence of uncertainty of expert knowledge,an optimization model for the developed safety assessment model is constructed.A case study of safety assessment of liquefied natural gas(LNG)storage tank is conducted to illustrate the effectiveness of the new developed model. | Zhichao Feng Wei He Zhijie Zhou Xiaojun Ban Changhua Hu Xiaoxia Han | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，11： | 6 |
| 3 | A hidden fault prediction model based on the belief rule base with power set and considering attribute reliability显示文摘Hidden faults are important characteristics of complex systems that cannot be observed directly.The hidden behavior of a system, such as the health state and safety level, has a direct correlation with these hidden faults. After the predicted hidden behavior reaches a fault boundary, certain measures must be taken to avoid fault occurrences. Thus, hidden faults can be predicted by the hidden behavior of a system.The belief rule base(BRB) has been used to predict hidden behaviors. However, two problems remain to be solved in engineering practice. First, when the observed information is absent, ignorance may exist in the output. If only global ignorance is considered, it may be unreasonable in certain cases, which can influence the prediction model. Second, the effects of disturbance factors such as noise and sensor quality may cause the reliability of the gathered information to decline, which indirectly leads to unreliability of the hidden behavior. Thus, to address the global ignorance and unreliable hidden behavior, a new hidden BRB model with a power set and considering attribute reliability(PHBRB-r) is proposed for hidden fault prediction. In the PHBRB-r model, the effects of disturbance factors on hidden behavior are considered using attribute reliability, and the discernment frame is a power set. A case study of hidden fault prediction is conducted to demonstrate the effectiveness of the PHBRB-r model. | Zhijie ZHOU Zhichao FENG Changhua HU Xiaoxia HAN Zhiguo ZHOU Gailing LI | 2019 | Science China(Information Sciences)2019，62，10： | 6 |
| 4 | Dissecting human embryonic skeletal stem cell ontogeny by single-cell transcriptomic and functional analyses显示文摘Human skeletal stem cells(SSCs)have been discovered in fetal and adult long bones.However,the spatiotemporal ontogeny of human embryonic SSCs during early skeletogenesis remains elusive.Here we map the transcriptional landscape of human limb buds and embryonic long bones at single-cell resolution to address this fundamental question.We found remarkable heterogeneity within human limb bud mesenchyme and epithelium,and aligned them along the proximal-distal and anterior-posterior axes using known marker genes.Osteo-chondrogenic progenitors first appeared in the core limb bud mesenchyme,which give rise to multiple populations of stem/progenitor cells in embryonic long bones undergoing endochondral ossification.Importantly,a perichondrial embryonic skeletal stem/progenitor cell(eSSPC)subset was identified,which could self-renew and generate the osteochondral lineage cells,but not adipocytes or hematopoietic stroma.eSSPCs are marked by the adhesion molecule CADM1 and highly enriched with FOXP1/2 transcriptional network.Interestingly,neural crest-derived cells with similar phenotypic markers and transcriptional networks were also found in the sagittal suture of human embryonic calvaria.Taken together,this study revealed the cellular heterogeneity and lineage hierarchy during human embryonic skeletogenesis,and identified distinct skeletal stem/progenitor cells that orchestrate endochondral and intramembranous ossification. | Jian He Jing Yan Jianfang Wang Liangyu Zhao Qian Xin Yang Zeng Yuxi Sun Han Zhang Zhijie Bai Zongcheng Li Yanli Ni Yandong Gong Yunqiao Li Han He Zhilei Bian Yu Lan Chunyu Ma Lihong Bian Heng Zhu Bing Liu Rui Yue | 2021 | Cell Research2021，31，7： | 5 |
| 5 | Cognitive Emotion Model for Eldercare Robot in Smart Home显示文摘Based on the smart home and facial expression recognition, this paper presents a cognitive emotional model for eldercare robot. By combining with Gabor filter, Local Binary Pattern algorithm(LBP) and k-Nearest Neighbor algorithm(KNN) are facial emotional features extracted and recognized. Meanwhile, facial emotional features put influence on robot's emotion state, which is described in AVS emotion space. Then the optimization of smart home environment on the cognitive emotional model is specially analyzed using simulated annealing algorithm(SA). Finally, transition probability from any emotional state to a state of basic emotions is obtained based on the cognitive reappraisal strategy and Euclidean distance. The simulation and experiment have tested and verified the effective in reducing negative emotional state. | HAN Jing XIE Lun LI Dan HE Zhijie WANG Zhiliang | 2015 | China Communications2015，12，4： | 4 |
| 6 | A Monte Carlo Neural Fictitious Self-Play approach to approximate Nash Equilibrium in imperfect-information dynamic games显示文摘Solving the optimization problem to approach a Nash Equilibrium point plays an important role in imperfect information games,e.g.,StarCraft and poker.Neural Fictitious Self-Play(NFSP)is an effective algorithm that learns approximate Nash Equilibrium of imperfect-information games from purely self-play without prior domain knowledge.However,it needs to train a neural network in an off-policy manner to approximate the action values.For games with large search spaces,the training may suffer from unnecessary exploration and sometimes fails to converge.In this paper,we propose a new Neural Fictitious Self-Play algorithm that combines Monte Carlo tree search with NFSP,called MC-NFSP,to improve the performance in real-time zero-sum imperfect-information games.With experiments and empirical analysis,we demonstrate that the proposed MC-NFSP algorithm can approximate Nash Equilibrium in games with large-scale search depth while the NFSP can not.Furthermore,we develop an Asynchronous Neural Fictitious Self-Play framework(ANFSP).It uses asynchronous and parallel architecture to collect game experience and improve both the training efficiency and policy quality.The experiments with th e games with hidden state information(Texas Hold^m),and the FPS(firstperson shooter)games demonstrate effectiveness of our algorithms. | Li ZHANG Yuxuan CHEN Wei WANG Ziliang HAN Shijian Li Zhijie PAN Gang PAN | 2021 | Frontiers of Computer Science2021，15，5： | 3 |
| 7 | Dynamical Trust Construction Schema with Fuzzy Decision in P2P Systems显示文摘 | WANG Yang WANG Ruchuan HAN Zhijie | 2009 | Chinese Journal of Electronics2009，18，3： | 3 |
| 8 | Modeling and adaptive control for a spatial flexible spacecraft with unknown actuator failures显示文摘In this paper,we address simultaneous control of a flexible spacecraft’s attitude and vibrations in a three-dimensional space under input disturbances and unknown actuator failures.Using Hamilton’s principle,the system dynamics is modeled as an infinite dimensional system captured using partial differential equations.Moreover,a novel adaptive fault tolerant control strategy is developed to suppress the vibrations of the flexible panel in the course of the attitude stabilization.To determine whether the system energies,angular velocities and transverse deflections,remain bounded and asymptotically decay to zero in the case wherein the number of actuator failures is infinite,a Lyapunov-based stability analysis is conducted.Finally,extensive numerical simulations are performed to demonstrate the performance of the proposed adaptive control strategy. | Zhijie LIU Zhiji HAN Zhijia ZHAO Wei HE | 2021 | Science China(Information Sciences)2021，64，5： | 3 |
| 9 | An Analysis and Proof on Self-Similarity Property of Flash P2P Internet Video Traffic显示文摘In order to study the amount of bandwidth resource loss caused by flash P2 P technique, its influence on network load and its maintenance cost, the characteristic of Internet traffic of flash P2 P is studied. On the basis of analysis of features of Real time media flow protocol(RTMFP), the traffic of flash P2 P can be identified from the Internet traffic. By extraction and analysis of the traffic of the three largest online video content providers in China(Youku, Iqyi and Sohu Video) and the calculation of probability distribution of the traffic, it is found that the transmission time of flash P2 P traffic and the transmission time interval obeys the heavy-tailed distribution. This accounts for the self-similarity of the flash P2 P traffic. To better explain the phenomenon, the long-range dependent model is established based on the current traffic. By the established mathematical model, it is strictly proved that flash P2 P traffic has self-similar characteristic. | JI Yimu YUAN Yongge HAN Zhijie WANG Hao HAN Lei SUN Yanfei WANG Ruchuan | 2015 | Chinese Journal of Electronics2015，24，1： | 3 |
| 10 | Delineating spatiotemporal and hierarchical development of human fetal innate lymphoid cells显示文摘Whereas the critical roles of innate lymphoid cells(ILCs)in adult are increasingly appreciated,their developmental hierarchy in early human fetus remains largely elusive.In this study,we sorted human hematopoietic stem/progenitor cells,lymphoid progenitors,putative ILC progenitor/precursors and mature ILCs in the fetal hematopoietic,lymphoid and non-lymphoid tissues,from 8 to 12 post-conception weeks,for single-cell RNA-sequencing,followed by computational analysis and functional validation at bulk and single-cell levels.We delineated the early phase of ILC lineage commitment from hematopoietic stem/progenitor cells,which mainly occurred in fetal liver and intestine.We further unveiled interleukin-3 receptor as a surface marker for the lymphoid progenitors in fetal liver with T,B,ILC and myeloid potentials,while IL-3RA–lymphoid progenitors were predominantly B-lineage committed.Notably,we determined the heterogeneity and tissue distribution of each ILC subpopulation,revealing the proliferating characteristics shared by the precursors of each ILC subtype.Additionally,a novel unconventional ILC2 subpopulation(CRTH2–CCR9+ILC2)was identified in fetal thymus.Taken together,our study illuminates the precise cellular and molecular features underlying the stepwise formation of human fetal ILC hierarchy with remarkable spatiotemporal heterogeneity. | Chen Liu Yandong Gong Han Zhang Hua Yang Yang Zeng Zhilei Bian Qian Xin Zhijie Bai Man Zhang Jian He Jing Yan Jie Zhou Zongcheng Li Yanli Ni Aiqing Wen Yu Lan Hongbo Hu Bing Liu | 2021 | Cell Research2021，31，10： | 2 |
| 11 | Vibration Control of a High-Rise Building Structure:Theory and Experiment显示文摘In this study,an innovative solution is developed for vibration suppression of the high-rise building.The infinite dimensional system model has been presented for describing high-rise building structures which have a large inertial load with the help of the Hamilton’s principle.On the basis of this system model and with the use of the Lyapunov’s direct method,a boundary controller is proposed and the closed-loop system is uniformly bounded in the time domain.Finally,by using the Smart Structure laboratory platform which is produced by Quancer,we conduct a set of experiments and find that the designed method is resultful. | Yuhua Song Wei He Xiuyu He Zhiji Han | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，4： | 2 |
| 12 | Seasonal Responses of Net Primary Productivity of Vegetation to Phenological Dynamics in the Loess Plateau, China显示文摘With global warming, the great changes in the patterns of plant growth have occurred. The conditions in early spring and late autumn have changed the process of vegetation photosynthesis, which are expected to have a significant impact on net primary productivity(NPP) and affect the global carbon cycle. Currently, the seasonal response characteristics of NPP to phenological changes in dryland ecosystems are still not well defined. This article calibrated and analyzed the normalized difference vegetation index(NDVI)time series of Advanced Very-High-Resolution Radiometer(AVHRR) data from 1982 to 2015 in the Loess Plateau, China. The spatial and temporal distributions of vegetation phenology and NPP in the Loess Plateau under semihumid and semiarid conditions were investigated. The seasonal variation in the NPP response to vegetation phenology under the climate change was also analyzed. The results showed that, different from the northern forest, there was distinct spatial heterogeneity in the effect of climate change on the dynamic change in vegetation growth in the Loess Plateau: 1) an advance of the start of the growing season(SOS) and a delay of the end of the growing season(EOS) significantly increased the NPP in spring and autumn, respectively, in the humid southeast;2) in the arid northwest, the NPP did not significantly increase in spring and autumn but significantly decreased in summer. | HAN Hongzhu BAI Jianjun MA Gao YAN Jianwu WANG Xiaohui TA Zhijie WANG Pengtao | 2022 | Chinese Geographical Science2022，32，2： | 2 |
| 13 | Automatic Quality Inspection of Bakery Products Based on Shape and Color Information显示文摘An automatic intelligent system for the colour and texture inspection of bakery products is proposed.In this system,advance classification technique featuring Support Vector Machine and biologically inspired HMAX based shape descriptor integrated with biologically plausible RGB Opponent-Colour-Channel Descriptor is used to classify bakery products to their respective classes based on the shape and based on their colour referring to different baking durations. The results of this paper are compared with other methods for the automatic bakery products inspection. It is discovered that biologically inspired computer vision models performs accurately and efficiently as compared to the computer vision models which are not biologically plausible,in the bakery products quality inspection. It is also discovered that the One Versus One SVM and Directed Acyclic Graph SVM acquired the maximum accurate classification rate. The proposed method acquired classification accuracy of 95% and 100% for the biscuit shape and biscuit colour recognition,respectively. The proposed method is also consistently stable and invariant. This shows that the biologically inspired computer vision models have the capability to replace existing inspection methods as more reliable and accurate alternative. | Babar Khan Fang Han Zhijie Wang Ather Iqbal | 2017 | Journal of Harbin Institute of Technology(New Series)2017，24，5： | 2 |
| 14 | A nickel thiolate catalyst for the long-lived photocatalytic pro- duction of hydrogen in a noble-metal-free system 显示文摘 | Han Zhiji William R McNamara Min-Sik Eum | 2012 | Angewandte Chemie-International Edition2012，51，7： | 1 |
| 15 | Cardiolipin Remodeling by ALCAT1 Links Oxidative Stress and Mitochondrial Dysfunction to Obesity显示文摘 | Jia Li Caroline Romestaing Xianlin Han Yuan Li Xinbao Hao Yinyuan Wu Chao Sun Xiaolei Liu Leonard S. Jefferson Jingwei Xiong Kathryn F. LaNoue Zhijie Chang Christopher J. Lynch Huayan Wang Yuguang Shi | 2010 | Cell Metabolism2010，，2： | 1 |
| 16 | Traveling chimera states in locally coupled memristive Hindmarsh-Rose neuronal networks and circuit simulation显示文摘Chimera states have been found in many physiology systems as well as nervous systems and may relate to neural information processing. The present work investigates the traveling chimera states in memristive neuronal networks of locally coupled Hindmarsh-Rose neurons, with both excitation and inhibition considered. Various traveling chimera patterns and firing modes are found to exist in the networks. Particularly, for excitatory connection, two kinds of traveling chimera states appear in opposite directions. Besides, a new type of chimera state composed of traveling chimera state and incoherent state is observed, named the semi-traveling chimera state. Multi-head traveling chimera states with several incoherent groups are also observed. For excitatory-inhibitory connection, the network is observed to exhibit an imperfect coherent state under the synergistic effect of strong excitatory and weak inhibitory coupling. Moreover, a firing pattern named mixed-amplitude bursting state is witnessed,consisting of two bursts of different amplitudes in a time sequence. Furthermore, an electric circuit is designed and built on Multisim to realize the above phenomena, suggesting that traveling chimera states could be generated in real circuits. Our findings can deepen the understanding of the electromagnetic induction effect in regulating the dynamics of neuronal networks and may provide useful clues for constructing artificial neural systems. | YUAN YuanYuan YANG Hao HAN Fang WANG ZhiJie | 2022 | Science China(Technological Sciences)2022，65，7： | 1 |
| 17 | A Novel Belief Rule-Based Fault Diagnosis Method with Interpretability显示文摘Fault diagnosis plays an irreplaceable role in the normal operation of equipment.A fault diagnosis model is often required to be interpretable for increasing the trust between humans and the model.Due to the understandable knowledge expression and transparent reasoning process,the belief rule base(BRB)has extensive applications as an interpretable expert system in fault diagnosis.Optimization is an effective means to weaken the subjectivity of experts in BRB,where the interpretability of BRB may be weakened.Hence,to obtain a credible result,the weakening factors of interpretability in the BRB-based fault diagnosis model are firstly analyzed,which are manifested in deviation from the initial judgement of experts and over-optimization of parameters.For these two factors,three indexes are proposed,namely the consistency index of rules,consistency index of the rule base and over-optimization index,tomeasure the interpretability of the optimizedmodel.Considering both the accuracy and interpretability of amodel,an improved coordinate ascent(I-CA)algorithmis proposed to fine-tune the parameters of the fault diagnosis model based on BRB.In I-CA,the algorithm combined with the advance and retreat method and the golden section method is employed to be one-dimensional search algorithm.Furthermore,the random optimization sequence and adaptive step size are proposed to improve the accuracy of the model.Finally,a case study of fault diagnosis in aerospace relays based on BRB is carried out to verify the effectiveness of the proposed method. | Zhijie Zhou Zhichao Ming Jie Wang Shuaiwen Tang You Cao Xiaoxia Han Gang Xiang | 2023 | Computer Modeling in Engineering & Sciences2023，，8： | 1 |
| 18 | Intrusion Detection for Wireless Sensor Network Based on Traffic Prediction Model显示文摘 | Han Zhijie Wang Ruchuang | 2012 | Physics Procedia2012，，3： | 1 |
| 19 | Recent development in electronic structure tuning of graphitic carbon nitride for highly efficient photocatalysis显示文摘The utilization of solar energy to drive energy conversion and simultaneously realize pollutant degradation via pho-tocatalysis is one of most promising strategies to resolve the global energy and environment issues.During the past decade,graphite carbon nitride(g-C3N4)has attracted dramatically growing attention for solar energy conversion due to its excellent physicochemical properties as a photocatalyst.However,its practical application is still impeded by several limitations and short-comings,such as high recombination rate of charge carriers,low visible-light absorption,etc.As an effective solution,the elec-tronic structure tuning of g-C_(3)N_(4)has been widely adopted.In this context,firstly,the paper critically focuses on the different strategies of electronic structure tuning of g-C_(3)N_(4)like vacancy modification,doping,crystallinity modulation and synthesis of a new molecular structure.And the recent progress is reviewed.Finally,the challenges and future trends are summarized. | Chao Li Jie Li Yanbin Huang Jun Liu Mengmeng Ma Kong Liu Chao Zhao Zhijie Wang Shengchun Qu Lei Zhang Haiyan Han Wenshuang Deng Zhanguo Wang | 2022 | Journal of Semiconductors2022，43，2： | 1 |
| 20 | A new interpretable fault diagnosis method based on belief rule base and probability table显示文摘It is vital to establish an interpretable fault diagnosis model for critical equipment.Belief Rule Base(BRB)is an interpretable expert system gradually applied in fault diagnosis.However,the expert knowledge cannot be utilized to establish the initial BRB accurately if there are multiple referential grades in different fault features.In addition,the interpretability of BRB-based fault diagnosis is destroyed in the optimization process,which reflects in two aspects:deviation from the initial expert judgment and over-optimization of parameters.To solve these problems,a new interpretable fault diagnosis model based on BRB and probability table,called the BRB-P,is proposed in this paper.Compared with the traditional BRB,the BRB-P constructed by the probability table is more accurate.Then,the interpretability constraints,i.e.,the credibility of expert knowledge,the penalty factor and the rule-activation factor,are inserted into the projection covariance matrix adaption evolution strategy to maintain the interpretability of BRB-P.A case study of the aerospace relay is conducted to verify the effectiveness of the proposed method. | Zhichao MING Zhijie ZHOU You CAO Shuaiwen TANG Yuan CHEN Xiaoxia HAN Wei HE | 2023 | Chinese Journal of Aeronautics2023，36，3： | 1 |
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