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| 1 | Spatiotemporal changes in water,land use,and ecosystem services in Central Asia considering climate changes and human activities显示文摘Central Asia is located in the hinterland of Eurasia,comprising Kazakhstan,Uzbekistan,Kyrgyzstan,Turkmenistan,and Tajikistan;over 93.00%of the total area is dryland.Temperature rise and human activities have severe impacts on the fragile ecosystems.Since the 1970s,nearly half the great lakes in Central Asia have shrunk and rivers are drying rapidly owing to climate changes and human activities.Water shortage and ecological crisis have attracted extensive international attention.In general,ecosystem services in Central Asia are declining,particularly with respect to biodiversity,water,and soil conservation.Furthermore,the annual average temperature and annual precipitation in Central Asia increased by 0.30℃/decade and 6.9 mm/decade in recent decades,respectively.Temperature rise significantly affected glacier retreat in the Tianshan Mountains and Pamir Mountains,which may intensify water shortage in the 21st century.The increase in precipitation cannot counterbalance the aggravation of water shortage caused by the temperature rise and human activities in Central Asia.The population of Central Asia is growing gradually,and its economy is increasing steadily.Moreover,the agricultural land has not been expended in the last two decades.Thus,water and ecological crises,such as the Aral Sea shrinkage in the 21st century,cannot be attributed to agriculture extension any longer.Unbalanced regional development and water interception/transfer have led to the irrational exploitation of water resources in some watersheds,inducing downstream water shortage and ecological degradation.In addition,accelerated industrialization and urbanization have intensified this process.Therefore,all Central Asian countries must urgently reach a consensus and adopt common measures for water and ecological protection. | YU Yang CHEN Xi Ireneusz MALIK Malgorzata WISTUBA CAO Yiguo HOU Dongde TA Zhijie HE Jing ZHANG Lingyun YU Ruide ZHANG Haiyan SUN Lingxiao | 2021 | Journal of Arid Land2021，13，9： | 2 |
| 2 | Proteome-Wide Profiling of the Covalent-Druggable Cysteines with a Structure-Based Deep Graph Learning Network显示文摘Covalent ligands have attracted increasing attention due to their unique advantages,such as long residence time,high selectivity,and strong binding affinity.They also show promise for targets where previous efforts to identify noncovalent small molecule inhibitors have failed.However,our limited knowledge of covalent binding sites has hindered the discovery of novel ligands.Therefore,developing in silico methods to identify covalent binding sites is highly desirable.Here,we propose DeepCoSI,the first structure-based deep graph learning model to identify ligandable covalent sites in the protein.By integrating the characterization of the binding pocket and the interactions between each cysteine and the surrounding environment,DeepCoSI achieves state-of-the-art predictive performances.The validation on two external test sets which mimic the real application scenarios shows that DeepCosI has strong ability to distinguish ligandable sites from the others.Finally,we profiled the entire set of protein structures in the RCSB Protein Data Bank(PDB)with DeepCoSI to evaluate the ligandability of each cysteine for covalent ligand design,and made the predicted data publicly available on website. | Hongyan Du Dejun Jiang Junbo Gao Xujun Zhang Lingxiao Jiang Yundian Zeng Zhenxing Wu Chao Shen Lei Xu Dongsheng Cao Tingjun Hou Peichen Pan | 2022 | Research2022，，4： | 1 |
| 3 | Analysis and mitigation of bump magnetic field tracking errors in a multiturn injection system显示文摘Purpose The Space Environment Simulation and Research Infrastructure(SESRI)is a cluster of accelerators designed to simulate the cosmic radiation environment by generating particles of various types and energies.Among these accelerators,a synchrotron in the 300 MeV proton and heavy ion accelerator complex utilizes a multiturn injection scheme with four bump magnets to accumulate proton and heavy ion beams effectively.However,the bump magnetic field experiences a rapid drop rate of up to 1000 T/s,inevitably leading to a deviation(field tracking error)from the ideal magnetic field.The injection efficiency and particle distribution are significantly affected by this field tracking error,as evaluated by the ACCSIM code.Method During the device testing stage,the sources of field tracking errors were identified by analysis of the bump power supplies and the field of the magnets.Mitigation techniques were then implemented to reduce the field tracking error from[Math Processing Error]to[Math Processing Error]throughout the entire power supply,transmission cable,and magnet chain.Results Moreover,the successful injection and accumulation of beams during the operational phase of the synchrotron confirmed the effectiveness of the proposed mitigation methods.Additionally,a magnetic field measurement system was developed to monitor the magnetic field tracking error online.Conclusion The combination of the field tracking error mitigation methods and the measurement system provides valuable guidance for optimizing the magnetic fields with rapid drop rates. | Shuaishuai Zhang Guodong Shen Weiping Chai Jingjing Zhang Hongliang Guo Lingxiao Hou Liping Yao Shuang Ruan Jiancheng Yang | 2023 | Radiation Detection Technology and Methods2023，7，4： | 0 |
| 4 | Uniformity Control of Scanned Beam in 300 MeV Proton and Heavy Ion Accelerator Complex at SESRI显示文摘In recent years,heavy ion accelerator technology has been rapidly developing worldwide and widely applied in the fields of space radiation simulation and particle therapy.Usually,a very high uniformity in the irradiation area is required for the extracted ion beams,which is crucial because it directly affects the experimental precision and therapeutic effect.Specifically,ultra-large-area and high-uniformity scanning are crucial requirements for spacecraft radiation effects assessment and serve as core specification for beamline terminal design.In the 300 MeV proton and heavy ion accelerator complex at the Space Environment Simulation and Research Infrastructure(SESRI),proton and heavy ion beams will be accelerated and ultimately delivered to three irradiation terminals.In order to achieve the required large irradiation area of 320 mm×320 mm,horizontal and vertical scanning magnets are used in the extraction beam line.However,considering the various requirements for beam species and energies,the tracking accuracy of power supplies(PSs),the eddy current effect of scanning magnets,and the fluctuation of ion bunch structure will reduce the irradiation uniformity.To mitigate these effects,a beam uniformity optimization method based on the measured beam distribution was proposed and applied in the accelerator complex at SESRI.In the experiment,the uniformity is successfully optimized from 75%to over 90%after five iterations of adjustment to the PS waveforms.In this paper,the method and experimental results were introduced. | HOU Lingxiao YUAN Youjin SHEN Guodong RUAN Shuang LIU Jie ZHU Yunpeng WANG Geng GUO Hongliang LYU Mingbang GAO Daqing XU Zhiguo SHENG Lina YANG Jiancheng | 2024 | 原子能科学技术2024，58，4： | 0 |
| 5 | 长日照对光周期敏感型大豆顶生花序发育的影响显示文摘顶生花序是识别大豆类型的重要组分,在本研究中,选用晚熟且对光周期敏感的大豆,研究长日照对此大豆顶生花序形成和发育的影响。出苗后,大豆幼苗经12h短日照,光周期13d,以便诱导顶生花序的开始。然后, | Yan Jiang Cunxiang Wu Lingxiao Zhang Po Hu Wensheng Hou Wei Zu Tianfu Han 尚占江 | 2012 | 大豆科技2012，，1： | 0 |
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