作者：
Yang, GangPing, JialunDepartment of Physics
Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing Normal University Nanjing210023 China
Recently, the experimental results of LHCb Collaboration suggested the existence of five new excited states of Ω0c, Ωc(3000)0, Ωc(3050)0, Ωc(3066)0, Ωc(3090)0 and Ωc(3119)0, the quantum numbers of these new part...
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We investigate the pentaquark system qqqsq¯in a framework of chiral quark model. Two structures, (qqq)(sq¯) and (qqs)(qq¯), with all possible color, spin, flavor configurations are considered. The calcu...
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A dynamical calculation of pentaquark systems with quark contents uudds¯ is performed in the framework of quark delocalization color screening model with the help of resonating group method. The effective potenti...
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Recently, three new states of Ξc0 were observed in the invariant mass spectrum of Λ+c K− by LHCb collaboration. In this work, we use a chiral quark model to investigate these three exited states with the help of Gau...
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Emergy analysis provides a feasible approach to evaluate the status and position of different energy carriers in the universal energy hierarchy. In this paper, an emergy-based method is conducted to measure the resour...
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Emergy analysis provides a feasible approach to evaluate the status and position of different energy carriers in the universal energy hierarchy. In this paper, an emergy-based method is conducted to measure the resources input of Chinese industry from 1997 to 2006. Resources inflows including fossil fuels, mineral resources, agricultural products, and other imported materials are accounted, based on which related indicators including resources intensity, industrial output, and environmental emissions are investigated. Results show a steady upward trend for the total resources input of Chinese industry during the past decade. The total resources input amounted to 1.53×1025 sej in 2006, of which non-renewable one accounted for 70.65% owing to the dominating input of fossil fuels and nonmetal minerals. Resources intensity measured by the ratio of resources input to industrial value added declined gradually during 1997–2002, but the rapid expansion of resource–intensive sub–sectors resulted in a reverse trend since 2003. The current resources use pattern of Chinese industry is characterized by increasing input of non-renewable resources, excessive expansion of resource–intensive production, and tremendous challenge from environmental pressure.
作者：
Tan, YuePing, JialunDepartment of Physics
Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing Normal University Nanjing210023 China
In this paper, we calculate mass and probability fractions of meson-meson components of X(3872) in an unquenched quark model. Different from most of other unquenched quark models, the quark pairs creation operator fro...
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Inspired by the updated information on Ω(2012) by the Belle Collaboration, we conduct a study of all possible S-wave pentaquark systems with quark contents sssqq¯, q = u, d in a chiral quark model with the help ...
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With the rapid development of high-speed railway in China, the research of railway passenger flow forecasting has become a key research direction. The forecast of railway passenger flow can help formulate a reasonable...
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With the rapid development of high-speed railway in China, the research of railway passenger flow forecasting has become a key research direction. The forecast of railway passenger flow can help formulate a reasonable price, improve the organization of passenger terminals, optimize the allocation of railway vehicles resources and improve the service capability of passenger transport equipment, which are of great significance to improve the efficiency of railway passenger transport. In this study, a comprehensive forecasting model based on time series analysis is proposed for railway passenger flow forecasting. To solve problems which cannot be handled with traditional programming model in the context of big data, time series analysis is introduced into the solution. Railway Passenger Flow Forecasting model based on Time Series Analysis is established with the combination of the long-term trend factor, the seasonal factor and the weather factor. Railway passenger flow data obtained from the Railway Bureau are used for the case study. The change rule of passenger flow was researched under different conditions, the railway passenger flow in the next two weeks was forecast, and the corresponding optimization of vehicle configuration and station docking scheme are proposed. Sensitivity analysis shows good stability and robustness of the model.
作者：
Tan, YuePing, JialunDepartment of Physics
Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing Normal University Nanjing210023 China
Recently, BESIII Collaboration updated the data of exotic state, D∗s0(2317), with mass at 2318.3 ± 1.2 ± 1.2 MeV in the positronium annihilation process. Inspired by experiment, We study the two hot exotic s...
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Recently, a new hidden-charm pentaquark state Pcs(4459) was reported by the LHCb Collaboration. Stimulated by the fact that all hidden-charm pentaquark states in S = 0 systems were successfully studied by the chiral q...
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