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Phosphorus-doping and oxygen vacancy endowing anatase TiO_(2) with excellent sodium storage performance

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Rare Metals 2022年第4期41卷 1284-1293页

作者： Hong-Shun Zhao Yan-li Qi Kang liang Wei-Kai Zhu Hao-bin Wu jian-bin li Yu-Rong Ren School of Materials Science and Engineering Changzhou UniversityChangzhou 213164China Changzhou Key Laboratory of Intelligent Manufacturing and Advanced Technology for Power Battery Changzhou 213164China jiangsu Province Engineering Research Center of Intelligent Manufacturing Technology for the New Energy Vehicle Power Battery Changzhou 213164China Institute for Composites Science Innovation(InCSI) School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China

Titanium dioxide is considered to be promising anode for sodium-ion batteries due to stable structure during the charge/discharge ***,its practical application is hindered by the slow electron/ion ***,phosphorus-doped anatase TiO_(2) nanoparticles with oxygen vacancies are successfully synthesized and utilized as high-performance sodium-storage *** dual strategy of phosphorus-doping and oxygen vacancies can concurrently boost electronic conductivity and adjust ion diffusion *** significantly contribute to the improved rate performance(167 mAh·g^(-1) at 20.0C)and stable cycling(95.9%after 2000 cycles at 20.0C).The proposed dual strategy can be potentially used to improve other oxide anodes for rechargeable batteries.

关键词： Titanium dioxide Phosphorus doping Oxygen vacancy Anode Sodium-ion batteries

Visual SLAM in dynamic environments based on object detection

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Defence Technology（防务技术） 2021年第5期17卷 1712-1721页

作者： Yong-bao Ai Ting Rui Xiao-qiang Yang Jia-lin He Lei Fu jian-bin li Ming Lu College of Field Engineering People’s Liberation Army Engineering UniversityNanjing210007China JinKen College of Technology Nanjing211156China Research Institute of Chemical Defense Academy of Military SciencesBeijing102205China

A great number of visual simultaneous localization and mapping(VSLAM)systems need to assume static features in the ***,moving objects can vastly impair the performance of a VSLAM system which relies on the static-world *** cope with this challenging topic,a real-time and robust VSLAM system based on ORB-SLAM2 for dynamic environments was *** reduce the influence of dynamic content,we incorporate the deep-learning-based object detection method in the visual odometry,then the dynamic object probability model is added to raise the efficiency of object detection deep neural network and enhance the real-time performance of our *** with both on the TUM and KITTI benchmark dataset,as well as in a real-world environment,the results clarify that our method can significantly reduce the tracking error or drift,enhance the robustness,accuracy and stability of the VSLAM system in dynamic scenes.

关键词： Visual SLAM Object detection Dynamic object probability model Dynamic environments

Feedback on a shared big dataset for intelligent TBM PartⅠ:Feature extraction and machine learning methods

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Underground Space 2023年第4期11卷 1-25页

作者： jian-bin li Zu-Yu Chen Xu li liu-Jie Jing Yun-Pei Zhangf Hao-Han Xiao Shuang-Jing Wang Wen-Kun Yang Lei-Jie Wu Peng-Yu li Hai-Bo li Min Yao li-Tao Fan China Railway Group Co.Ltd. Beijing 100089China Department of Geotechnical Engineering China Institute of Water Resources and Hydropower ResearchBeijing 100038China Key Laboratory of Urban Underground Engineering Ministry of EducationBeijing Jiaotong UniversityBeijing 100044China China Railway Engineering Equipment Group Co. Ltd.ZhengzhouHenan 450016China School of Civil Engineering Southeast UniversityNanjing 211189China Xi’an University of Technology Xi’an 710048China

This review summarizes the research outcomes and findings documented in 45 journal papers using a shared tunnel boring machine(TBM)dataset for performance prediction and boring efficiency optimization using machine learning *** big dataset was col-lected during the Yinsong water diversion project construction in China,covering the tunnel excavation of a 20 km-section with 199 items of monitoring metrics taken with an interval of one *** research papers were the result of a call for contributions during a TBM machine learning contest in 2019 and covered a variety of topics related to the intelligent construction of *** review com-prises two *** I is concerned with the data processing,feature extraction,and machine learning methods applied by the *** review finds that the data-driven and knowledge-driven approaches in extracting important features applied by various authors are diversified,requiring further studies to achieve commonly accepted *** techniques for cleaning and amending the raw data adopted by the contributors were summarized,indicating some highlights such as the importance of sufficiently high fre-quency of data acquisition(higher than 1 second),classification and standardization for the data preprocessing process,and the appro-priate selections of features in a boring *** review finds that both supervised and unsupervised machine learning methods have been utilized by various *** ensemble and deep learning methods have found wide *** I highlights the impor-tant features of the individual methods applied by the contributors,including the structures of the algorithm,selection of hyperparam-eters,and model validation approaches.

关键词： Big data Machine learning method TBM construction Data extraction Machine learning contest

Feedback on a shared big dataset for intelligent TBM Part Ⅱ:Application and forward look

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Underground Space 2023年第4期11卷 26-45页

作者： jian-bin li Zu-Yu Chen Xu li liu-Jie Jing Yun-Pei Zhang Hao-Han Xiao Shuang-Jing Wang Wen-Kun Yang Lei-Jie Wu Peng-Yu li Hai-Bo li Min Yao li-Tao Fan China Railway Group Co.Ltd Beijing 100089China Department of Geotechnical Engineering China Institute of Water Resources and Hydropower ResearchBeijing 100038China Key Laboratory of Urban Underground Engineering Ministry of EducationBeijing Jiaotong UniversityBeijing 100044China China Railway Engineering Equipment Group Co. LtdZhengzhouHenan 450016China School of Civil Engineering Southeast UniversityNanjing 211189China Xi’an University of Technology Xi’an 710048China

This review discusses the application scenarios of the machine learning-supported performance prediction and the optimization effi-ciency of tunnel boring machines(TBMs).The rock mass quality ratings,which are based on the Chinese code for geological survey,were used to provide"labels"suitable for supervised *** a result,the generation of machine prediction for rock mass grades reason-ably agreed with the ground truth documented in geological *** contrast,the main operational parameters,i.e.,thrust and torque,can be reasonably predicted based on historical ***,18 collapse sections of the Yinsong project have been successfully predicted by several *** studies on the selection of the optimal penetration rate and cost were *** review also presents a summary of the main achievements in response to the initiatives of the Lotus Pool Contest in *** the first time,large and well-documented TBM performance data has been shared for joint scientific ***,the review discusses the technical problems that require further study and the perspectives in the future development of intelligent TBM construction based on big data and machine learning.

关键词： TBM performance prediction TBM rock mass quality rating TBM-supported machine learning Rock mass classification ensemble Tunnel collapse

Observations of interplanetary scintillation with a single-station mode at Urumqi

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Research in Astronomy and Astrophysics 2010年第6期10卷 577-586页

作者： li-Jia liu Xi-Zhen Zhang jian-bin li P. K. Manoharan Zhi-Yong liu Bo Peng National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China Radio Astronomy Center TIFR-NCRA P. O. Box 8 Ooty 643 001 India National Astronomical Observatories/Urumqi Observatory Chinese Academy of Sciences Urumqi 830011 China

The Sun affects physical phenomena on Earth in multiple ways. In particular, the material in interplanetary space comes from coronal expansion in the form of inhomogeneous plasma flow （solar wind）, which is the primary source of the interplanetary medium. Ground-based Interplanetary Scintillation （IPS） observations are an important and effective method for measuring solar wind speed and the structures of small diameter radio sources. We discuss one mode of ground-based single-station observations： Single-Station Single-Frequency （SSSF） mode. To study the SSSF mode, a new system has been established at Urumqi Astronomical Observatory （UAO）, China, and a series of experimental observations were successfully carried out from May to December, 2008.

关键词： methods data analysis -- solar wind -- methods numerical

The influence of different reference for interobserver on the delineation of tumor bed based on 4DCT scan for external-beam partial breast irradiationafter breast conserving surgery

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The influence of different reference for interobserver on th...

Probing star formation and feedback using CCOSMA and archival data in the CFG028.68–0.28 quasi-sinusoidal filament

第八届中国肿瘤学术大会暨第十三届海峡两岸肿瘤学术会议

作者： bing Guo jian-bin li Shandong Cancer Hospital

＜正＞Objective To explore the influence of different reference for interobserver on the delineation of tumor bed based on the four-dimensional computed tomography（4DCT）scan for external-beam partial breast irradiat...

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Research in Astronomy and Astrophysics 2019年第12期19卷 305-317页

作者： Jin-Long Xu Jirgen Stutzki Yuefang Wu Xin Guan Jun-Jie Wang M.Miller Yang Chen Sheng-li Qin Jun-Zhi Wang Chang-Chun Ning Danzengluobu Tian-Lu Chen Nai-Ping Yu Chuan-Peng Zhang Xiao-Lan liu jian-bin L Karl Jacobs Urs UGraf Gang Xu Nan li Guo-Yin Zhang and Qi Wu National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China I.Physikalisches Institut Universitat zu KolnZilpicher Str.7750937 KolnGermany Department of Astronomy Peking UniversityBeijing 100871China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China Department of Astronomy Yunnan Universityand Key Laboratory of Astroparticle Physics of Yunnan ProvinceKunming 650091China Shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China Tibet University LhasaTibet 850000China CAS Key Laboratory of FAST National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China NAOC-TU Joint Center for Astrophysics Lhasa 850000China

We have performed a multi-wavelength study toward a quasi-sinusoidal filament(CFG028.68–0.28). A new large-scale ^12CO J = 3-2 map was obtained from the China-Cologne Observation for Sub Millimeter Astronomy(CCOSMA) 3m radio telescope. Based on the ATLASGAL catalog, we have identified 27 dust clumps in the filament. Through the relationship between the mass and radius of these clumps, 67% of these clumps are dense and massive enough to potentially form massive stars. The obtained CFE is ~11% in the filament. The filament has a linear mass density of ~305 M⊙pc^-1, which is smaller than its critical mass to length ratio. This suggests that the external pressure from the neighboring H Ⅱ regions may help prevent the filament from dispersing under the effects of turbulence. Comparing the energy injection from outflows and H Ⅱ regions in the filament, the ionization feedback from the H Ⅱ regions can help maintain the observed turbulence.

关键词： stars:formation stars:early-type ISM:HⅡregions ISM:individual(CFG028.68-0.28,IRDC G28.53-0.25,and N49)

基于非线性干扰观测器的翼伞鲁棒反步跟踪控制

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控制与决策 2017年第8期32卷 1427-1433页

作者：陈自力张昊蔚建斌苏立军邱金刚军械工程学院无人机工程系石家庄050003

针对干扰条件下的无人翼伞飞行器路径跟踪控制问题,提出一种基于非线性干扰观测器的反馈增益鲁棒反步控制方法.采用二阶跟踪-微分器设计干扰观测器对系统复合干扰进行估计和补偿,设计了反馈增益反步跟踪控制律,通过合理设计增益参数,消... 详细信息

针对干扰条件下的无人翼伞飞行器路径跟踪控制问题,提出一种基于非线性干扰观测器的反馈增益鲁棒反步控制方法.采用二阶跟踪-微分器设计干扰观测器对系统复合干扰进行估计和补偿,设计了反馈增益反步跟踪控制律,通过合理设计增益参数,消除了部分复杂非线性项,避免了虚拟量高阶导数问题,简化了控制器形式.根据Lyapunov理论设计鲁棒反馈补偿项,在保证稳定性的同时提高了系统的鲁棒性.仿真实验结果验证了所提出方法的有效性.

关键词：无人翼伞飞行器路径跟踪非线性干扰观测器反馈增益鲁棒反步法

Brain endothelial cyclic GMP-AMP synthase(cGAS)-stimulator of interferon genes(STING)signaling pathway in aging and neurodegeneration

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Neural Regeneration Research 2025年第7期20卷 2005-2007页

作者： Bryan Sun Lulin li jian Luo Palo Alto Veterans Institute for Research VA Palo Alto Health Care SystemPalo AltoCAUSA Polytrauma System of Care VA Palo Alto Health Care SystemPalo AltoCAUSA

The cyclic GMP-AMP synthase(cGAS)-stimulator of interferon genes(STING)signaling pathway has emerged as a key mediator of *** current studies primarily attribute its effects to neurons and glial cells,emerging research suggests that cGAS-STING signaling may play a critical role in cerebral vasculature,particularly in brain endothelial ***,studying the role 7of inflammation caused by the cGAS-STING pathway in brain endothelial cells could provide a more comprehensive understanding of neuroinflammatory disease and new avenues for therapeutic ***,we review the multifaceted role of global cGAS-STING signaling in various neurological and neuroinflammatory diseases and the potential contribution of cGAS-STING in brain endothelial cells.

关键词： stimulator interferon inflammation