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| 1 | A CONSTRUCTIVE PROOF OF THE INVERSION FORMULA FOR ZONAL FUNCTIONS ON SL(2, R)显示文摘A constructive proof is given for the inversion formula for zonal functions on SL(2, R). A concretely constructed sequence of zonal drictions are proved to satisfy the inversion formula obtained by Harish-Chandra for compact supported infinitely differentiable zonal functions.Making use of the property of this sequence somehow similar to that of approxination kernels,the authors deduce that the inversion formula is true for continuous zonal functions on SL(2, R)under some condition. The classical result can be viewed as a corollary of the results here. | XIAO CHANGBAI ZHENG WEIXING SU WEIYI (Department of Mathematics, Nanjing University Nanjing 210093, China.) | 1996 | Chinese Annals of Mathematics,Series B1996，17，1： | 3 |
| 2 | A note to the concept of derivatives on local fields显示文摘 | Zheng Weixing Su Weiyi Jiang Huikun | 1990 | Approximation Theory and its Applications1990，，3： | 1 |
| 3 | A note to the concept of derivatives on local fields显示文摘 | Zheng Weixing Su Weiyi Jiang Huikun | 1990 | Approximation Theory and its Applications1990，，3： | 1 |
| 4 | A note to the concept of derivatives on local fields显示文摘 | Zheng Weixing Su Weiyi Jiang Huikun | 1990 | Approximation Theory and its Applications1990，，3： | 1 |
| 5 | The grassland carbon cycle:Mechanisms,responses to global changes,and potential contribution to carbon neutrality显示文摘Grassland is one of the largest terrestrial biomes,providing critical ecosystem services such as food production,biodiversity conservation,and climate change mitigation.Global climate change and land-use intensification have been causing grassland degradation and desertification worldwide.As one of the primary medium for ecosystem energy flow and biogeochemical cycling,grassland carbon(C)cycling is the most fundamental process for maintaining ecosystem services.In this review,we first summarize recent advances in our understanding of the mechanisms underpinning spatial and temporal patterns of the grassland C cycle,discuss the importance of grasslands in regulating inter-and intra-annual variations in global C fluxes,and explore the previously unappreciated complexity in abiotic processes controlling the grassland C balance,including soil inorganic C accumulation,photochemical and thermal degradation,and wind erosion.We also discuss how climate and land-use changes could alter the grassland C balance by modifying the water budget,nutrient cycling and additional plant and soil processes.Further,we examine why and how increasing aridity and improper land use may induce significant losses in grassland C stocks.Finally,we identify several priorities for future grassland C research,including improving understanding of abiotic processes in the grassland C cycle,strengthening monitoring of grassland C dynamics by integrating ground inventory,flux monitoring,and modern remote sensing techniques,and selecting appropriate plant species combinations with suitable traits and strong resistance to climate fluctuations,which would help design sustainable grassland restoration strategies in a changing climate. | Lingli Liu Emma J.Sayer Meifeng Deng Ping Li Weixing Liu Xin Wang Sen Yang Junsheng Huang Jie Luo Yanjun Su JoséM.Grünzweig Lin Jiang Shuijin Hu Shilong Piao | 2023 | Fundamental Research2023，3，2： | 0 |
| 6 | Real-time comprehensive driving ability evaluation algorithm for intelligent assisted driving显示文摘To meet the needs of the human-machine co-driving decision problem in the intelligent assisted driving system for real-time comprehensive driving ability evaluation of drivers,this paper proposes a real-time comprehensive driving ability evaluation method that integrates driving skill,driving state,and driving style.Firstly,by analyzing the driving experiment data obtained based on the intelligent driving simulation platform(the experiment can effectively distinguish the driver's driving skills and avoid the interference of driving style),the feature values that significantly represent driving skills and driving state are selected,and the time correlation between driving state and driving skills is pointed out.Furthermore,the concept of relativity in comprehensive driving ability evaluation is further proposed.Under this concept,the natural driving trajectory dataset-HighD is used to establish the distribution map of feature values of the human driver group as the evaluation benchmark to realize the relative evaluation of driving skill and driving state.Similarly,HighD is used to establish a distribution map of human driver style feature values as an evaluation benchmark to achieve relative driving style evaluation.Finally,a comprehensive driving ability evaluation model with a“punishment”and“affirmation”mechanism is proposed.The experimental comparative analysis shows that the evaluation algorithm proposed in this paper can take into account the driver's driving skill,driving state,and driving style in the real-time comprehensive driving ability evaluation,and draw differential evaluation conclusions based on the“punishment”and“affirmation”mechanism model to achieve a comprehensive and objective evaluation of the driver's driving ability.It can meet the needs of human-machine shared driving decisions for driver's driving ability evaluation. | Fang Liu Feng Xue Wanru Wang Weixing Su Yang Liu | 2023 | Green Energy and Intelligent Transportation2023，2，2： | 0 |
| 7 | Distributed Control System Retrofit for 200 MW Units of Thermal Power Plant显示文摘This paper introduces GKS-9000 Distributed Control System (DCS)developed by Nanjing Automation Research Institute (NARI) and its application in DCS retrofit project of indigenous 200 MW units and its feature. | Su Guoquan Zhao Yangdng Fan Qinnan Pu Weixing Zhu Chuanqiang (Nanjing Automation Research Institute) | 1998 | Electricity1998，，4： | 0 |
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