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Design and Synthesis of Macrocyclic Polyoxazoles

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Chemical Research in Chinese Universities 2014年第4期30卷 587-592页

作者： qi Fuling gao Lianxun HAN Fushe Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changehun 130022 P. R. China University of Chinese Academy of Sciences Beijing 100864 P. R. China

Two macrocyclic polyoxazoles with different sizes and numbers of side chains were designed and synthesized from the linear-type precursors obtained by the iterative application of oxazole formation reaction via effect... 详细信息

关键词： Telomerase Telomestatin G-Quadruplex Macrocyclic compound Polyoxazole

Congestion warning method based on the Internet of vehicles and community discovery of complex networks

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The Journal of China Universities of Posts and Telecommunications 2016年第4期23卷 37-45页

作者： Zhao Ting Wang Bin gao qi School of Automation Beijing Institute of Technology

The traffic congestion occurs frequently in urban areas, while most existing solutions only take effects after congesting. In this paper, a congestion warning method is proposed based on the Internet of vehicles（IOV） and community discovery of complex networks. The communities in complex network model of traffic flow reflect the local aggregation of vehicles in the traffic system, and it is used to predict the upcoming congestion. The real-time information of vehicles on the roads is obtained from the IOV, which includes the locations, speeds and orientations of vehicles. Then the vehicles are mapped into nodes of network, the links between nodes are determined by the correlations between vehicles in terms of location and speed. The complex network model of traffic flow is hereby established. The communities in this complex network are discovered by fast Newman（FN） algorithm, and the congestion warnings are generated according to the communities selected by scale and density. This method can detect the tendency of traffic aggregation and provide warnings before congestion occurs. The simulations show that the method proposed in this paper is effective and practicable, and makes it possible to take action before traffic congestion.

关键词： IOV complex network community discovery congestion warning

2D sandwich-like nanosheets of ultrafine Sb nanoparticles anchored to graphene for high-efficiency sodium storage

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Nano Research 2017年第12期10卷 4360-4367页

作者： Xiaowu Liu man gao Hai Yang Xiongwu Zhong Yan Yu CAS Key Materiels for Energy Conversion Department of Materials Science and Engineering University of Science and Technology of Chine Hefei 230026 China Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education) Nankai University Tianjin 300071 China State Key Laboratory of Fire Science University of Science and Technology of China Hefei 230026 China

Sb is considered a promising anode material for high-performance sodium-ion batteries （NIBs） owing to its high theoretical specific capacity （660 mAh-g-1）. However, Sb shows a very large volume change （-200%） during sodiation and desodiation, leading to poor electrochemical performance. Here, we designed and tested a sandwich-like graphene-supported Sb nanocomposite （denoted Sb@RGO@Sb）, in which ultrafine Sb nanoparticles are uniformly anchored on a reduced graphene oxide （RGO） surface. The ultrafine Sb nanocrystals anchored on the RGO surface minimize the aggregation of Sb and inhibit restacking of the RGO sheets, leading to a minimum transport length for both ions and electrons. The graphene layer not only accommodates the large volume variation of Sb during cycling but also promotes the electron conductivity of the whole electrode. Owing to its unique structure, this sandwich-like composite exhibits superior sodium storage properties.

关键词： Sb/graphene composites sodium ion battery anode sandwich-like structure

Determination of the Pile Drivability Using Random Forest Optimized by Particle Swarm Optimization and Bayesian Optimizer

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 871-892页

作者： Shengdong Cheng Juncheng gao Hongning qi State Key Laboratory of Eco-Hydraulics in Northwest Arid Region Xi’an University of TechnologyXi’an710048China School of Resources and Safety Engineering Central South UniversityChangsha410083China

Driven piles are used in many geological environments as a practical and convenient structural ***,the determination of the drivability of piles is actually of great importance in complex geotechnical *** methods of predicting pile drivability often rely on simplified physicalmodels or empirical formulas,whichmay lack accuracy or applicability in complex geological ***,this study presents a practical machine learning approach,namely a Random Forest(RF)optimized by Bayesian Optimization(BO)and Particle Swarm Optimization(PSO),which not only enhances prediction accuracy but also better adapts to varying geological environments to predict the drivability parameters of piles(i.e.,maximumcompressive stress,maximum tensile stress,and blow per foot).In addition,support vector regression,extreme gradient boosting,k nearest neighbor,and decision tree are also used and applied for comparison *** order to train and test these models,among the 4072 datasets collected with 17model inputs,3258 datasets were randomly selected for training,and the remaining 814 datasets were used for model ***,the results of these models were compared and evaluated using two performance indices,i.e.,the root mean square error(RMSE)and the coefficient of determination(R2).The results indicate that the optimized RF model achieved lower RMSE than other prediction models in predicting the three parameters,specifically 0.044,0.438,and 0.146;and higher R^(2) values than other implemented techniques,specifically 0.966,0.884,and *** addition,the sensitivity and uncertainty of the optimized RF model were analyzed using Sobol sensitivity analysis and Monte Carlo(MC)*** can be concluded that the optimized RF model could be used to predict the performance of the pile,and it may provide a useful reference for solving some problems under similar engineering conditions.

关键词： Random forest regression model pile drivability Bayesian optimization particle swarm optimization

Design and Synthesis of Polyoxazole-based Macrocycles Tethered with a Phosphonate Group

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Chinese Journal of Chemistry 2014年第7期32卷 585-591页

作者： Fuling qi Lianxun gao Fushe Han Changchun Institute of Applied Chemistry Chinese Academy of SciencesChangchunJilin 130022China University of Chinese Academy of Sciences Beijing 100864China Key Lab of Synthetic Chemistry of Natural Substances Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China

We present the design and synthesis of polyoxazole-based macrocycles containing a phosphonate group.A reliable route was established that allows for convenient and versatile incorporation of various phosphonate functionalities such as phosphonate ester,acid,and salt at the macrocyclic ring *** unprecedented macrocyclic compounds are anticipated to be appealing candidates as telomerase inhibitors.

关键词： telomerase Telomestatin oxazole phosphonate macrocyclic compound

Finite-time boundedness analysis and composite anti-disturbance control for uncertain semi-Markovian jump systems with time delay

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Science China(Information Sciences) 2022年第4期65卷 275-277页

作者： Tianbo XU Xianwen gao Wenhai qi College of Information Science and Engineering Northeastern University School of Engineering Qufu Normal University

Dear editor,Markovian jump systems(MJSs) are a special type of hybrid systems that have been employed to yield a variety of results [1, 2]. Unlike MJSs, semi-Markovian jump systems(S-MJSs) relax the restriction requiring transition rate(TR) to always be constant. Due to their broad application prospects, S-MJSs have attracted the attention of many scholars. For example, the authors of [3, 4] addressed the problem of sliding mode control for S-MJSs. However,

关键词： semi-Markovian jump systems time delay finite-time boundedness composite anti-disturbance control uncertain system

An iterative computation method for interpreting and extending an analytical battery model

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2008年第2期9卷 279-288页

作者： Neng-gan ZHENG Zhao-hui WU man LIN qi-jia WANG School of Computer Science and Technology Zhejiang University Hangzhou 310027 China Department of Computer Science St. Francis Xavier University Antigonish NS B2G 2 W5 Canada

Battery models are of great importance to develop portable computing systems,for whether the design of low power hardware architecture or the design of battery-aware scheduling *** this paper,we present a physically justified iterative computing method to illustrate the discharge,recovery and charge process of Li/Li-ion *** discharge and recovery processes correspond well to an existing accurate analytical battery model:R-V-W's analytical model,and thus interpret this model *** method can also extend R-V-W's model easily to accommodate the charge *** work will help the system designers to grasp the characteristics of R-V-W's battery model and also,enable to predict the battery behavior in the charge process in a uniform way as the discharge process and the recovery *** are performed to show the ac-curacy of the extended model by comparing the predicted charge times with those derived from the DUALFOIL *** profiles with different combinations of battery modes were *** experimental results show that the extended battery model preserves high accuracy in predicting the charge behavior.

关键词： Analytical battery model lterative computation method Capacity response Charge Discharge

Landing control method of a lightweight four-legged landing and walking robot

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Frontiers of Mechanical Engineering 2022年第4期17卷 33-52页

作者： Ke YIN Chenkun qi Yue gao qiao SUN Feng gao School of Electronic Information and Electrical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Mechanical System and Vibration School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

The prober with an immovable lander and a movable rover is commonly used to explore the Moon’s *** rover can complete the detection on relatively flat terrain of the lunar surface well,but its detection efficiency on deep craters and mountains is relatively low due to the difficulties of reaching such places.A lightweight four-legged landing and walking robot called“FLLWR”is designed in this *** can take off and land repeatedly between any two sites wherever on deep craters,mountains or other challenging landforms that are difficult to reach by direct ground *** robot integrates the functions of a lander and a rover,including folding,deploying,repetitive landing,and walking.A landing control method via compliance control is proposed to solve the critical problem of impact energy dissipation to realize buffer *** landing experiments on a five-degree-of-freedom lunar gravity testing platform are *** the landing conditions with a vertical velocity of 2.1 m/s and a loading weight of 140 kg,the torque safety margin is 10.3%and 16.7%,and the height safety margin is 36.4%and 50.1%for the cases with or without an additional horizontal disturbance velocity of 0.4 m/s,*** study provides a novel insight into the next-generation lunar exploration equipment.

关键词： landing and walking robot lunar exploration buffer landing compliance control

Dry deposition of PM_(10) over the Yellow Sea during Asian dust events from 2001 to 2007

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Journal of Environmental Sciences 2014年第1期26卷 54-64页

作者： Han Yan Xiaohuan Liu Jianhua qi Huiwang gao Key Laboratory of Marine Environment and Ecology Ocean University of China Ministry of Education of China National Marine Environmental Forecasting Center

Dry deposition velocities and fluxes of PM10 during Asian dust events over the Yellow Sea from 2001 to 2007 were investigated using observation data in qingdao, China and Jeju, Korea. The dry deposition velocities of PM 10 during dust events over the Yellow Sea ranged from 0.19 to 8.17 cm/sec, with an average of 3.38 cm/sec. Dry deposition fluxes of PM10 during dust events over the Yellow Sea were in the range of 68.5-2647.1 mg/（***）, with an average of 545.4 mg/（***）, which is 2-10 times higher than those reported by other studies for both dust and non-dust periods. It was estimated that 2.6× 10^11-48.7 × 10^11 g dust particles deposit to the Yellow Sea during dust events through dry deposition every year. Compared with the results in previous studies, it was found that the dry deposition of PM10 over the Yellow Sea during dust events in the years with high frequency of dust could account for a large or overwhelming fraction of the annual total dry deposition. Backward air mass trajectory analysis showed that dust events influenced Jeju mainly originated from the desert regions located in Mongolia and Inner Mongolia, China. There were 119 backward trajectories influenced both qingdao and Jeju during 15 dust events from 2001 to 2007, accounting for 61.3% of the total trajectories of 194, indicating that qingdao and Jeju were usually on the same pathway of dust transport downwind from source areas.

关键词： Asian dust the Yellow Sea dry deposition fluxes backward trajectory analysis