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Influence of Arctic Sea-ice Concentration on Extended-range Forecasting of Cold Events in East Asia

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Advances in Atmospheric sciences 2023年第12期40卷 2224-2241页

作者： Chunxiang LI Guokun DAI Mu MU Zhe HAN xueying MA Zhina JIANG Jiayu ZHENG Mengbin zhu CAS Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Atmospheric and Oceanic sciences and Institute of Atmospheric sciences Fudan UniversityShanghai 200433China Innovation Center of Ocean and Atmosphere System Zhuhai Fudan Innovation Research InstituteZhuhai 518057China CMA-FDU Joint Laboratory of Marine Meteorology Shanghai 200438China Yantai Vocational college Yantai 264043China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China beijing Institute of applied Meteorology Beijing 100029China

Utilizing the Community Atmosphere Model,version 4,the influence of Arctic sea-ice concentration(SIC)on the extended-range prediction of three simulated cold events(CEs)in East Asia is *** results show that the Arctic SIC is crucial for the extended-range prediction of CEs in East *** conditional nonlinear optimal perturbation approach is adopted to identify the optimal Arctic SIC perturbations with the largest influence on CE prediction on the extended-range time *** shows that the optimal SIC perturbations are more inclined to weaken the CEs and cause large prediction errors in the fourth pentad,as compared with random SIC perturbations under the same *** diagnosis reveals that the optimal SIC perturbations first modulate the local temperature through the diabatic process,and then influence the remote temperature by horizontal advection and vertical convection ***,the optimal SIC perturbations trigger a warming center in East Asia through the propagation of Rossby wave trains,leading to the largest prediction uncertainty of the CEs in the fourth *** results may provide scientific support for targeted observation of Arctic SIC to improve the extended-range CE prediction skill.

关键词： cold event Arctic sea-ice concentration extended-range prediction

吡虫啉和苦参碱及其复配对毛叶苕子蚜虫的毒力测定及田间防效

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植物保护 2024年第1期50卷 324-327页

作者：谢殿杰刘悦秋张蕾王丹丹程云霞朱国梁江幸福中国农业科学院植物保护研究所植物病虫害综合治理全国重点实验室北京100193 北京农学院园林学院北京102206 泰安市农业科学院泰安271000

为防治绿肥作物毛叶苕子上蚜虫危害,筛选出对毛叶苕子蚜虫高效配方,选择作用机理不同的吡虫啉和苦参碱,开展了最佳配比筛选及田间防治效果评价。结果表明,吡虫啉和苦参碱4种混配组合(有效成分含量之比分别为1∶10、1∶20、1∶40和1∶80... 详细信息

为防治绿肥作物毛叶苕子上蚜虫危害,筛选出对毛叶苕子蚜虫高效配方,选择作用机理不同的吡虫啉和苦参碱,开展了最佳配比筛选及田间防治效果评价。结果表明,吡虫啉和苦参碱4种混配组合(有效成分含量之比分别为1∶10、1∶20、1∶40和1∶80)对毛叶苕子上棉蚜的毒力均表现为增效作用,其中1∶20组合的共毒系数最高,为376.14。选择该配比进行的田间药效试验表明,该混剂组合在有效成分用量为5.94 g/hm^(2)时,药后3、7 d的防治效果均显著高于单剂,最高防效近80%,可作为今后混剂的开发或生产中防治毛叶苕子蚜虫的推荐药剂。

关键词：毛叶苕子棉蚜吡虫啉苦参碱复配田间防效

Nonclinical safety, tolerance and pharmacodynamics evaluation for meplazumab treating chloroquine-resistant Plasmodium falciparum

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Acta Pharmaceutica Sinica B 2020年第9期10卷 1680-1693页

作者： Kun Zhang Yu Zhao Zheng Zhang Mengyao Zhang Xiaodong Wu Huijie Bian Ping zhu Zhinan Chen college of Life Science and Bioengineering School of ScienceBeijing Jiaotong UniversityBeijing 100044China National Translational Science Center for Molecular Medicine&Department of Cell Biology the Fourth Military Medical UniversityXi’an 710032China Department of Clinical Immunology Xijing Hospitalthe Fourth Military Medical UniversityXi’an 710032China beijing Institute of Biotechnology Beijing 100071China Center of Anesthesiology&Operation Chinese PLA General HospitalBeijing 100853China

Meplazumab is an anti-CD147 humanized IgG2 *** purpose of this study was to characterize the nonclinical safety,tolerance and efficacy evaluation of meplazumab treating chloroquine resistant Plasmodium *** was well tolerated in repeat-dose toxicology studies in cynomolgus *** observed adverse effect level was 12 mg/*** difference between genders in the primary toxicokinetic parameters after repeat intravenous injection of *** increased levels of drug exposure and drug accumulation were observed in different gender and dose *** had a low cross-reactivity rate in various tissues and did not cause hemolysis or aggregation of red blood *** biodistribution and excretion results indicated that meplazumab was mainly distributed in the plasma,whole blood,and hemocytes,and excreted in the ***,meplazumab effectively inhibited the parasites from invading erythrocytes in humanized mice in a time-dependent manner and the efficacy is superior to that of *** these studies suggested that meplazumab is safe and well tolerated in cynomolgus monkeys,and effectively inhibits *** from invading into human red blood *** nonclinical data facilitated the initiation of an ongoing clinical trial of meplazumab for antimalarial therapy.

关键词： Meplazumab CD147 Safety Tolerance Efficacy Nonclinical Plasmodium falciparum Antimalarial therapy

A deep kernel method for lithofacies identification using conventional well logs

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Petroleum Science 2023年第3期20卷 1411-1428页

作者： Shao-Qun Dong Zhao-Hui Zhong xue-Hui Cui Lian-Bo Zeng Xu Yang Jian-jun Liu Yan-Ming Sun jing-Ru Hao State Key Laboratory of Petroleum Resources and Prospecting China University of PetroleumBeijing102249China Collge of Science China University of PetroleumBeijing102249China college of Geoscience China University of PetroleumBeijing102249China

How to fit a properly nonlinear classification model from conventional well logs to lithofacies is a key problem for machine learning *** methods(e.g.,KFD,SVM,MSVM)are effective attempts to solve this issue due to abilities of handling nonlinear features by kernel *** mining of log features indicating lithofacies still needs to be improved for kernel ***,this work employs deep neural networks to enhance the kernel principal component analysis(KPCA)method and proposes a deep kernel method(DKM)for lithofacies identification using well *** includes a feature extractor and a *** feature extractor consists of a series of KPCA models arranged according to residual network structure.A gradient-free optimization method is introduced to automatically optimize parameters and structure in DKM,which can avoid complex tuning of parameters in *** test the validation of the proposed DKM for lithofacies identification,an open-sourced dataset with seven con-ventional logs(GR,CAL,AC,DEN,CNL,LLD,and LLS)and lithofacies labels from the Daniudi Gas Field in china is *** are eight lithofacies,namely clastic rocks(pebbly,coarse,medium,and fine sand-stone,siltstone,mudstone),coal,and carbonate *** comparisons between DKM and three commonly used kernel methods(KFD,SVM,MSVM)show that(1)DKM(85.7%)outperforms SVM(77%),KFD(79.5%),and MSVM(82.8%)in accuracy of lithofacies identification;(2)DKM is about twice faster than the multi-kernel method(MSVM)with good *** blind well test in Well D13 indicates that compared with the other three methods DKM improves about 24%in accuracy,35%in precision,41%in recall,and 40%in F1 score,*** general,DKM is an effective method for complex lithofacies *** work also discussed the optimal structure and classifier for *** re-sults show that(m_(1),m_(2),O)is the optimal model structure and linear svM is the optimal classifier.(m_(1),m_(2),O)means there

关键词： Lithofacies identification Deepkernel method Well logs Residual unit Kernel principal component analysis Gradient-free optimization

Design,synthesis and biological activity of some novel benzimidazole derivatives against Coxsackie virus B_3

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Chinese Chemical Letters 2009年第8期20卷 921-923页

作者： Zhong Lv Zhang Zhi Jie Sun Fei xue Xian Jin Luo Nai Yun Xiu Li Teng Zong Gen Peng School of Chemistry and Chemical Engineering Shanghai Jiaotong University Shanghai 200240 PR China School of Life Science and Environmental Science Shanghai Normal University Shanghai 200234 PR China cInstitute of Medicinal Biotechnology Chinese Academy of Medical Science and Peking Union Medical College Beijing 100050 PR China

A series of novel benzimidazole derivatives was synthesized and their anti-Coxsackie virus B3 （CVB3） activity was evaluated in VERO ceils. Compounds 9 and 10 exhibited better inhibitory activity than those of ribavirin （RBV） with IC50 values of 5.30 and 1.06 μg/mL, respectively. ？2009 Xian Jin Luo. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.

关键词： Benzimidazole Coxsackie virus B3 (CVB3) Furan Anti-CVB3 activity

Gallium-based liquid metals for lithium-ion batteries

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Interdisciplinary Materials 2022年第3期1卷 354-372页

作者： Bin-Wei Zhang Long Ren Yun-Xiao Wang Xun Xu Yi Du Shi-xue Dou college of Chemistry and Chemical Engineering Chongqing UniversityChongqingChina Center of Advanced Energy technology and Electrochemistry Chongqing UniversityChongqingChina Institute for Superconducting and Electronic Materials Australian Institute of Innovative MaterialsUniversity of WollongongNorth WollongongNew South WalesAustralia State Key Laboratory of Advanced technology for Materials Synthesis and Processing International School of Materials Science and EngineeringWuhan University of TechnologyWuhanChina BUAA-UOW Joint Research Centre and School of Physics Beihang UniversityBeijingChina

Lithium-ion batteries(LIBs)are one of the most exciting inventions of the 20th century and have been widely employed in modern *** have powered many of our electronics,such as laptop computers,smartphones,and even large-scale energy storage *** the development of modern technology,next-generation LIBs with higher energy density are in demand.A number of electrode materials with high theoretical capacity,including Sn,Si,Li metal anode,and S cathode materials,have been ***,they usually suffer from structural or interface failure during cycling,limiting their practical ***-based liquid metals(LMs)possess self-healing capability,fluidity,and metallic advantages so they have been employed as self-healing skeletons or interfacial protective layers to minimize the negative impact of volume expansion or dendritic growth on the electrode ***,the features of Ga-based LMs are briefly discussed to indicate their potential for battery *** addition,recent developments on Ga-based LMs applied in LIBs have been summarized,including from the aspects of anodes,cathodes,and ***,future opportunities and challenges for the development of Ga-based LMs in LIBs are highlighted.

关键词： anode cathode electrolyte gallium-based liquid metals lithium-ion batteries

Machine learning assisted design of γ′-strengthened Co-base superalloys with multi-performance optimization

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npj Computational Materials 2020年第1期6卷 1138-1146页

作者： Pei Liu Haiyou Huang Stoichko Antonov Cheng Wen Dezhen xue Houwen Chen Longfei Li Qiang Feng Toshihiro Omori Yanjing Su beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing100083 BeijingChina Corrosion and Protection Center University of Science and Technology Beijing100083 BeijingChina State Key Laboratory of Advanced Metals and Materials University of Science and Technology Beijing100083 BeijingChina State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong University710049 Xi’anChina college of Materials Science and Engineering Chongqing University400044 ChongqingChina Department of Materials Science Graduate School of EngineeringTohoku UniversitySendai 980-8579Japan

Designing a material with multiple desired properties is a great challenge,especially in a complex material ***,we propose a material design strategy to simultaneously optimize multiple targeted properties of multi-component Co-base superalloys via machine *** microstructural stability,γ′solvus temperature,γ′volume fraction,density,processing window,freezing range,and oxidation resistance were simultaneously optimized.

关键词： base optimization strengthened

基于EnMAP卫星和深度神经网络的LAI遥感反演方法

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红外与毫米波学报 2020年第1期39卷 111-119页

作者：李雪玲董莹莹朱溢佞黄文江首都师范大学数学科学学院北京100048 中国科学院空天信息创新研究院数字地球重点实验室北京100094 中国科学院空天信息创新研究院北京100094

区域叶面积指数(Leaf Area Index,LAI)定量反演是开展大尺度农作物长势监测和产量估算的重要基础。针对当前区域LAI遥感定量反演存在的反演精度不理想和模型稳定性弱等问题,提出了一种基于少量训练样本进行LAI高精度反演的深度神经网络(... 详细信息

区域叶面积指数(Leaf Area Index,LAI)定量反演是开展大尺度农作物长势监测和产量估算的重要基础。针对当前区域LAI遥感定量反演存在的反演精度不理想和模型稳定性弱等问题,提出了一种基于少量训练样本进行LAI高精度反演的深度神经网络(Small Simple Learning LAI-Net,SSLLAI-Net)。该网络由2个卷积层、1个池化层和3个全连接层构成,将光谱反射率数据作为网络输入端、输出端得到LAI反演值,且该网络模型可支持小样本数据量的训练。以德国阿尔卑斯山麓高光谱遥感卫星影像Environmental Mapping and Analysis Program(EnMAP)为数据源,以该区域的谷物、玉米、油菜、其他作物为研究对象,数值实验结果表明当各作物类别的训练样本量均为50时,基于SSLLAI-Net的LAI反演精度分别为0. 95、0. 99、0. 98、0. 90;且在添加噪声的情况下,各作物类别的LAI反演精度分别为0. 95、0. 98、0. 96、0. 89。综上,提出的基于深度神经网络的区域LAI遥感定量反演方法 SSLLAI-Net是鲁棒可靠的,且该模型能够支持稳定的小样本建模。

关键词：叶面积指数高光谱遥感 EnMAP 深度神经网络 SSLLAI-Net

高海拔地区建筑施工项目应急能力建设评价方法研究

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技术与创新管理 2024年第3期45卷 305-312页

作者：张佳朱武全成连华李梓凡郭慧敏中国建筑土木建设有限公司北京100070 西安科技大学安全科学与工程学院陕西西安710054

为科学评价高海拔地区建筑施工项目应急能力建设水平,将应急能力建设过程划分为三个阶段、7个重点建设任务,构建了高海拔地区建筑施工项目应急能力建设评价指标体系;充分考虑高海拔地区建筑施工特点,通过使用AHP与熵权法的组合赋权法确... 详细信息

为科学评价高海拔地区建筑施工项目应急能力建设水平,将应急能力建设过程划分为三个阶段、7个重点建设任务,构建了高海拔地区建筑施工项目应急能力建设评价指标体系;充分考虑高海拔地区建筑施工特点,通过使用AHP与熵权法的组合赋权法确定各指标权重分布;在此基础上,采用模糊综合评价理论,构建了高海拔地区建筑施工项目应急能力评价模型,实现了多因素评估问题从定性到定量分析的转变。以高海拔地区某建筑施工项目为研究对象,进行实例验证。结果表明:该项目应急能力建设中仍存在待提升部分,该评价指标体系可以胜任高海拔地区建筑施工项目应急能力建设水平评估问题,为高海拔地区应急决策提供一定的理论依据。

关键词：高海拔地区建筑施工应急能力建设组合权重模糊综合评价

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