检索结果-内蒙古大学图书馆

science China Life sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

关键词：

来源：评论

学校读者我要写书评

暂无评论

GRAS transcription factors regulate cell division planes in moss overriding the default rule (vol 120, e2210632120, 2023)

引用

PROCEEDINGS OF THE NATIONAL ACADEMY OF scienceS OF THE UNITED STATES OF AMERICA 2023年第10期120卷 e2210632120-e2210632120页

作者： Ishikawa, Masaki Fujiwara, Ayaka Kosetsu, Ken Horiuchi, Yuta Kamamoto, Naoya Umakawa, Naoyuki Tamada, Yosuke Zhang, Liechi Matsushita, Katsuyoshi Palfalvi, Gergo Nishiyama, Tomoaki Kitasaki, Sota Masuda, Yuri Shiroza, Yoshiki Kitagawa, Munenori Nakamura, Toru Cui, Hongchang Hiwatashi, Yuji Kabeya, Yukiko Shigenobu, Shuji Aoyama, Tsuyoshi Kato, Kagayaki Murata, Takashi Fujimoto, Koichi Benfey, Philip N. Hasebe, Mitsuyasu Kofuji, Rumiko Division of Evolutionary Biology National Institute for Basic Biology Okazaki 444-8585 Japan Department of Basic Biology The Graduate School for Advanced Studies (SOKENDAI) Okazaki 444-8585 Japan Graduate School of Natural Science and Technology Kanazawa University Kanazawa 920-1192 Japan Department of Biological Sciences Graduate School of Science Osaka University Toyonaka 560-0043 Japan School of Engineering Utsunomiya University Utsunomiya 321-8585 Japan Division of Integrated Omics Research Research Center for Experimental Modeling of Human Disease Kanazawa University Kanazawa 920-0934 Japan Department of Biology Kanazawa University Kanazawa 920-1192 Japan Present Address: National Key Laboratory for Germplasm Innovation and Utilization for Fruit and Vegetable Horticultural Crops Huazhong Agricultural University Wuhan 430070 China. Department of Biology Duke University Durham NC 27516 HHMI Duke University Durham NC 27516 Department of Biological Science Florida State University Tallahassee FL 32306-4295 School of Food Industrial Sciences Miyagi University Sendai 982-0215 Japan Present address: Live Imaging Center Institute of Transformative Bio-Molecules Nagoya University Nagoya 466-8601 Japan Bioimage Informatics Group Exploratory Research Center on Life and Living Systems (ExCELLS) National Institutes of Natural Sciences Okazaki 444-8585 Japan Interdisciplinary Research Unit National Institute for Basic Biology Okazaki 444-8585 Japan Department of Applied Bioscience Kanagawa Institute of Technology Atsugi 243-0292 Japan Faculty of Biological Science and Technology Institute of Science and Engineering Kanazawa University Kanazawa 920-1192 Japan

Plant cells are surrounded by a cell wall and do not migrate, which makes the regulation of cell division orientation crucial for development. Regulatory mechanisms controlling cell division orientation may have contributed to the evolution of body organization in land plants. The GRAS family of transcription factors was transferred horizontally from soil bacteria to an algal common ancestor of land plants. SHORTROOT (SHR) and SCARECROW (SCR) genes in this family regulate formative periclinal cell divisions in the roots of flowering plants, but their roles in nonflowering plants and their evolution have not been studied in relation to body organization. Here, we show that SHR cell autonomously inhibits formative periclinal cell divisions indispensable for leaf vein formation in the moss Physcomitrium patens, and SHR expression is positively and negatively regulated by SCR and the GRAS member LATERAL SUPPRESSOR, respectively. While precursor cells of a leaf vein lacking SHR usually follow the geometry rule of dividing along the division plane with the minimum surface area, SHR overrides this rule and forces cells to divide nonpericlinally. Together, these results imply that these bacterially derived GRAS transcription factors were involved in the establishment of the genetic regulatory networks modulating cell division orientation in the common ancestor of land plants and were later adapted to function in flowering plant and moss lineages for their specific body organizations.

关键词： GRAS TFs geometry rule cell division orientation horizontal gene transfer

来源：评论

学校读者我要写书评

暂无评论

Nanophotonic-structured front contact for high-performance perovskite solar cells

引用

science China Materials 2022年第7期65卷 1727-1740页

作者： Md.Akhtaruzzaman Mohammad Ismail Hossain Mohammad Aminul Islam Md.Shahiduzzaman Ghulam Muhammad A.K.Mahmud Hasan Yuen Hong Tsang Kamaruzzaman Sopian Solar Energy Research Institute(SERI) Universiti Kebangsaan Malaysia43600 BangiSelangorMalaysia Department of Applied Physics Hong Kong Polytechnic University(PolyU)KowloonHong KongChina Centre for Integrated Systems Engineering and Advanced Technologies(Integra) Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia(UKM)43600 BangiSelangorMalaysia Graduate School of Pure and Applied Sciences University of TsukubaTsukubaIbaraki 305-8573Japan Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaJalan Universiti50603 Kuala LumpurSelangorMalaysia Nanomaterials Research Institute(NanoMaRi) Kanazawa UniversityKakumaKanazawa 920-1192Japan Department of Computer Engineering College of Computer and Information SciencesKing Saud University11543 RiyadhSaudi Arabia Department of Electrical and Computer Engineering University of CaliforniaDavisCA 95616USA Institute of Sustainable Energy Universiti Tenaga Nasional(@The National Energy University)Jalan IKRAM-UNITEN43000 KajangSelangorMalaysia

We report the design of a nanophotonic metaloxide front contact aimed at perovskite solar cells(PSCs)to enhance optoelectronic properties and device stability in the presence of ultraviolet(UV)***-quality Cr-doped ZnO film was prepared by industrially feasible magnetron sputter deposition for the electron transport layer of *** a means,the influence of the Cr content on the film and device was systematically ***-depth device optics and electrical effects were studied using advanced three-dimensional opto-electrical multiphysics rigorous simulations,optimizing the front contact for realizing high *** numerical simulation was validated by fabricating PSCs optimized to reach high performance,energy conversion efficiency(ECE)=17.3%,open-circuit voltage(V_(OC))=1.08 V,short-circuit current density(J_(SC))=21.1 mA cm^(-2),and fillfactor(FF)=76%.Finally,a realistic front contact of nanophotonic architecture was proposed while improving broadband light absorption of the solar spectrum and light harvesting,resulting in enhanced quantum efficiency(QE).The nanophotonic PSC enables J_(SC)improvement by~17%while reducing the reflection by 12%,resulting in an estimated conversion efficiency over 23%.It is further demonstrated how the PSCs’UV-stability can be improved without considerably sacrificing optoelectronic *** of nanophotonic designed ZnO:Cr front contact,PSCs device,and fabrication process are described.

关键词： ZnO:Cr front contact magnetron sputtering perovskite solar cells UV stability optics and electrical effects

来源：评论

学校读者我要写书评

暂无评论

Ship control of Approach Maneuvering Under Wind Disturbance Using a Deep Neural Network

Ship Control of Approach Maneuvering Under Wind Disturbance ...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： H. Kashiwagi T. Okazaki Graduate School of Marine Science and Technology Tokyo University of Marine Science and Technology Tokyo Japan Department of Maritime Systems Engineering Tokyo University of Marine Science and Technology Tokyo Japan

The effect of wind disturbance is one of the major factors that complicate heading control in ship control at low speeds. Approach maneuvering while decreasing speed and approaching the pier requires a control adopted to changing maneuverability and wind conditions. In this study, a control scheme using a deep neural network (DNN) was developed to output command values corresponding to wind conditions by training the DNN on maneuvering patterns of approach maneuvering under various wind conditions. The developed control scheme was validated through experiments using an actual ship.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Can Digital Intelligence and Cyber-Physical-Social systems Achieve Global Food Security and Sustainability?

引用

IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2070-2080页

作者： Yanfen Wang Mengzhen Kang Yali Liu Juanjuan Li Kai Xue Xiujuan Wang Jianqing Du Yonglin Tian Qinghua Ni Fei-Yue Wang College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049 Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408 State Key Laboratory of Tibetan Plateau Earth System Environment and ResourcesInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China School of Grassland Science Beijing Forestry UniversityBeijing 100083China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China State Key Laboratory of Plateau Ecology and Agriculture Qinghai UniversityXining 810016 Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810001 Binzhou Institute of Technology Weiqiao-UCAS Science and Technology ParkBinzhou 256606China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078 State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078 Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China IEEE

Plants sequester carbon through photosynthesis and provide primary productivity for the ecosystem. However, they also simultaneously consume water through transpiration, leading to a carbon-water balance relationship. Agricultural production can be regarded as a form of carbon sequestration *** the perspective of the natural-social-economic complex ecosystem, excessive water usage in food production will aggravate regional water pressure for both domestic and industrial purposes. Hence, achieving a harmonious equilibrium between carbon and water resources during the food production process is a key scientific challenge for ensuring food security and sustainability. Digital intelligence(DI) and cyber-physical-social systems(CPSS) are emerging as the new research paradigms that are causing a substantial shift in the conventional thinking and methodologies across various scientific fields, including ecological science and sustainability studies. This paper outlines our recent efforts in using advanced technologies such as big data, artificial intelligence(AI), digital twins, metaverses, and parallel intelligence to model, analyze, and manage the intricate dynamics and equilibrium among plants, carbon, and water in arid and semiarid ecosystems. It introduces the concept of the carbon-water balance and explores its management at three levels: the individual plant level, the community level, and the natural-social-economic complex ecosystem level. Additionally, we elucidate the significance of agricultural foundation models as fundamental technologies within this context. A case analysis of water usage shows that, given the limited availability of water resources in the context of the carbon-water balance, regional collaboration and optimized allocation have the potential to enhance the utilization efficiency of water resources in the river basin. A suggested approach is to consider the river basin as a unified entity and coordinate the relationship between the

关键词： Carbon-water balance decision-support digital intelligence(DI) foundation models planning

来源：评论

学校读者我要写书评

暂无评论

Arbitrarily structured quantum emission with a multifunctional metalens

引用

eLight 2023年第1期3卷 75-84页

作者： Chi Li Jaehyuck Jang Trevon Badloe Tieshan Yang Joohoon Kim Jaekyung Kim Minh Nguyen Stefan A.Maier Junsuk Rho Haoran Ren Igor Aharonovich School of Mathematical and Physical Sciences University of Technology SydneyUltimoNSW 2007Australia School of Physics and Astronomy Monash UniversityMelbourneVIC 3800Australia Department of Chemical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea Department of Mechanical Engineering Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea Graduate School of Artificial Intelligence Pohang University of Science and Technology(POSTECH)Pohang 37673Republic of Korea Department of Physics Imperial College LondonLondon SW72AZUK POSCO-POSTECH-RIST Convergence Research Centre for Flat Optics and Metaphotonics Pohang 37673Republic of Korea National Institute of Nanomaterials Technology(NINT) Pohang 37673Republic of Korea ARC Centre of Excellence for Transformative Meta-Optical Systems University of Technology SydneyUltimoNSW 2007Australia

Structuring light emission from single-photon emitters(SPEs)in multiple degrees of freedom is of great importance for quantum information processing towards higher ***,traditional control of emission from quantum light sources relies on the use of multiple bulky optical elements or nanostructured resonators with limited functionalities,constraining the potential of multi-dimensional *** we introduce the use of an ultrathin polarisation-beam-splitting metalens for the arbitrary structuring of quantum emission at room *** to the complete and independent polarisation and phase control at the single meta-atom level,the designed metalens enables simultaneous mapping of quantum emission from ultra-bright defects in hexagonal boron nitride and imprinting of an arbitrary wavefront onto orthogonal polarisation states of the *** hybrid quantum metalens enables simultaneous manipulation of multiple degrees of freedom of a quantum light source,including directionality,polarisation,and orbital angular *** could unleash the full potential of solid-state SPEs for their use as high-dimensional quantum sources for advanced quantum photonic applications.

关键词： temperature quantum arbitrary

来源：评论

学校读者我要写书评

暂无评论

Nanozymes regulated by nitrogen element:Mechanism,design,and application

Advanced Powder Materials

引用

advanced Powder Materials 2024年第4期3卷 9-26页

作者： Longhua Ding Longwei Wang Jian Zhang Na Ren Aizhu Wang Hong Liu Xin Yu Institute for Advanced Interdisciplinary Research(iAIR) School of Chemistry and Chemical EngineeringUniversity of JinanJinan 250022China CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety&CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology of ChinaUniversity of Chinese Academy of ScienceBeijing 100190China Division of Systems and Synthetic Biology Department of Life SciencesChalmers University of Technology41296GöoteborgSweden State Key Laboratory of Crystal Materials Shandong UniversityJinan 250100China Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOEQingdao University of Science and TechnologyQingdao 266042China

Nanozymes,a category of nanomaterials endowed with enzyme-mimicking capabilities,have exhibited considerable potential across diverse application *** comprehensive review delves into the intricacies of regulating nanozymes through N elements,elucidating the mechanisms governing N element control in the design and application of these *** initial sections introduce the foundational background and significance of *** exploration delves into the detailed discussion of N element regulation mechanisms on nanozymes,encompassing N vacancies,N doping,N coordination,and *** regulatory pathways play an instrumental role in fine-tuning the catalytic activity and specificity of *** review further scrutinizes practical applications of N element regulation on nanozymes,spanning sensing detection,infection therapy,tumor therapy,and pollutant *** conclusion,it succinctly summarizes the current research findings and proposes future directions for *** thorough investigation into the regulation of nanozymes by N elements anticipates precise control over their performance,thereby advancing the extensive utilization of nanozymes in the realms of biomedical and environmental applications.

关键词： Nnanozyme Nitrogen doping Nitrogen corrdination Infection therapy Tumor therapy

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Discovery of Stochastic Differential Equations

引用

engineering 2022年第10期17卷 244-252页

作者： Yasen Wang Huazhen Fang Junyang Jin Guijun Ma Xin He Xing Dai Zuogong Yue Cheng Cheng Hai-Tao Zhang Donglin Pu Dongrui Wu Ye Yuan Jorge Gonçalves Jürgen Kurths Han Ding School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan 430074China Department of Mechanical Engineering University of KansasLawrenceKS 66045USA HUST-Wuxi Research Institute Wuxi 214174China Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China Department of Plant Sciences University of CambridgeCambridge CB23EAUK Luxembourg Centre for Systems Biomedicine University of LuxembourgBelvaux 4367Luxembourg Department of Physics Humboldt University of BerlinBerlin 12489Germany Department of Complexity Science Potsdam Institute for Climate Impact ResearchPotsdam 14473Germany

Stochastic differential equations(SDEs)are mathematical models that are widely used to describe complex processes or phenomena perturbed by random noise from different *** identification of SDEs governing a system is often a challenge because of the inherent strong stochasticity of data and the complexity of the system’s *** practical utility of existing parametric approaches for identifying SDEs is usually limited by insufficient data *** study presents a novel framework for identifying SDEs by leveraging the sparse Bayesian learning(SBL)technique to search for a parsimonious,yet physically necessary representation from the space of candidate basis *** importantly,we use the analytical tractability of SBL to develop an efficient way to formulate the linear regression problem for the discovery of SDEs that requires considerably less time-series *** effectiveness of the proposed framework is demonstrated using real data on stock and oil prices,bearing variation,and wind speed,as well as simulated data on well-known stochastic dynamical systems,including the generalized Wiener process and Langevin *** framework aims to assist specialists in extracting stochastic mathematical models from random phenomena in the natural sciences,economics,and engineering fields for analysis,prediction,and decision making.

关键词： Data-driven method System identification Sparse Bayesian learning Stochastic differential equations Random phenomena

来源：评论

学校读者我要写书评

暂无评论

Recognition of Multiple Rectangular Stickers for Construction Machines 9

Recognition of Multiple Rectangular Stickers for Constructio...

引用

9th International Symposium on Computing and Networking Workshops, CANDARW 2021

作者： Nakagawa, Yuki Ohno, Shuichi Yamamoto, Shohei Hiroshima University Graduate School of Advanced Science And Engineering Hiroshima Japan Osaka City University Department of Electrical And Information Engineering Osaka Japan Education And Research Center Hiroshima Japan

ISBN: (纸本)9781665428354

In construction industry, before shipping manufactured products, it is necessary to attach multiple stickers which are specified by each country. Since required stickers depend on the country, there are so many patterns for the stickers. Usually, we visually check whether the specified stickers are attached or not, which is inefficient and subject to human errors. In order to solve these problems, we may resort to automatically recognize the stickers. Recently, a deep learning model called SSD has achieved high recognition rates in object detection. However, since the recognition accuracy depends on the image data to be trained, it is not that easy to create training data for the stickers. The stickers on construction machines are all rectangles. Utilizing this property of stickers, we develop recognition systems. Our proposed methods achieve higher recognition rates than the conventional SSD. © 2021 IEEE.

关键词： Construction industry

来源：评论

学校读者我要写书评

暂无评论

Secondary organic aerosol formation from straw burning using an oxidation flow reactor

引用

Journal of Environmental sciences 2022年第4期34卷 249-258页

作者： Hui Wang Song Guo Zhijun Wu Kai Qiao Rongzhi Tang Ying Yu Weizhao Xu Wenfei Zhu Liwu Zeng Xiaofeng Huang Lingyan He Mattias Hallquist State Key Joint Laboratory of Environmental Simulation and Pollution Control International Joint Laboratory for Regional Pollution ControlMinistry of Education(IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 10044China Key Laboratory for Urban Habitat Environmental Science and Technology College of Environment and EnergyPeking University Shenzhen Graduate SchoolShenzhen 518055China Department of Chemistry and Molecular Biology Atmospheric ScienceUniversity of GothenburgSE-41296 GothenburgSweden

Herein,we use an oxidation flow reactor,Gothenburg:Potential Aerosol Mass(Go:PAM)reactor,to investigate the secondary organic aerosol(SOA)formation from wheat straw *** burning emissions are exposed to high concentrations of hydroxyl radicals(OH)to simulate processes equivalent to atmospheric oxidation of 0-2.55 *** volatile organic compounds(VOCs)were investigated,and particles were measured before and after the Go:PAM *** influence of water content(i.e.5%and 11%)in wheat straw was also *** burning stages,the flaming stage,and non-flaming stages,were *** particle emission factors(EFs)at a water content of 11%(~3.89 g/kg-fuel)are significantly higher than those at a water content of 5%(~2.26 g/kg-fuel)during the flaming ***,the water content showed no significant influence at the non-flaming *** of aromatics at a non-flaming stage(321.8±46.2 mg/kg-fuel)are larger than that at a flaming stage(130.9±37.1 mg/kg-fuel).The OA enhancement ratios increased with the increase in OH exposure at first and decreased with the additional increment of OH *** maximum OA enhancement ratio is~12 during the non-flaming stages,which is much higher than~1.7 during the flaming *** mass spectrum of the primary wheat burning organic aerosols closely resembles that of resolved biomass burning organic aerosols(BBOA)based on measurements in ambient *** results show that large gap(0%-90%)still remains to estimate biomass burning SOA if only the oxidation of VOCs were included.

关键词： Gothenburg:Potential Aerosol Mass(Go:PAM)reactor Wheat straw burning Flaming Non-flaming Secondary organic aerosol formation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：