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arXiv 2023年

作者： Zeng, Jinzhe Zhang, Duo Lu, Denghui Mo, Pinghui Li, Zeyu Chen, Yixiao Rynik, Marián Huang, Li'ang Li, Ziyao Shi, Shaochen Wang, Yingze Ye, Haotian Tuo, Ping Yang, Jiabin Ding, Ye Li, Yifan Tisi, Davide Zeng, Qiyu Bao, Han Xia, Yu Huang, Jiameng Muraoka, Koki Wang, Yibo Chang, Junhan Yuan, Fengbo Bore, Sigbjørn Løland Cai, Chun Lin, Yinnian Wang, Bo Xu, Jiayan Zhu, Jia-Xin Luo, Chenxing Zhang, Yuzhi Goodall, Rhys E.A. Liang, Wenshuo Singh, Anurag Kumar Yao, Sikai Zhang, Jingchao Wentzcovitch, Renata Han, Jiequn Liu, Jie Jia, Weile York, Darrin M. Weinan, E. Car, Roberto Zhang, Linfeng Wang, Han Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China College of Electrical and Information Engineering Hunan University Changsha China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Department of Experimental Physics Comenius University Mlynská Dolina F2 Bratislava842 48 Slovakia Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Center for Data Science Peking University Beijing100871 China ByteDance Research Zhonghang Plaza No. 43 North 3rd Ring West Road Haidian District Beijing China College of Chemistry and Molecular Engineering Peking University Beijing100871 China Baidu Inc. Beijing China Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Zhejiang Hangzhou China Westlake AI Therapeutics Lab Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Hangzhou China Department of Chemistry Princeton University PrincetonNJ08544 United States SISSA Scuola Internazionale Superiore di Studi Avanzati Trieste34136 Italy Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Physics National University of Defense Technology Hunan Changsha410073 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Electronics Engineerin

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, Deep Potential - Range Correction (DPRc), Deep Potential Long Range (DPLR), GPU support for customized operators, model compression, non-von Neumann molecular dynamics (NVNMD), and improved usability, including documentation, compiled binary packages, graphical user interfaces (GUI), and application programming interfaces (API). This article presents an overview of the current major version of the DeePMD-kit package, highlighting its features and technical details. Additionally, the article benchmarks the accuracy and efficiency of different models and discusses ongoing developments. © 2023, CC BY-NC-ND.

关键词： Molecular dynamics

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THE QUANTIFICATION OF INTEROPERABILITY

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NAVAL ENGINEERS JOURNAL 1989年第3期101卷 251-256页

作者： MENSH, DR KITE, RS DARBY, PH Dennis Roy Mensh:is currently the task leader Interoperability Project with the MITRE Corporation in McLean Va. He received his B.S. and M.S. degrees in applied physics from Loyola College in Baltimore Md. and the American University in Washington D. C. He also has completed his course work towards his Ph.D. degree in computer science specializing in the fields of systems analysis and computer simulation. He has been employed by the Naval Surface Warfare Center White Oak Laboratory Silver Spring Md. for 20 years in the areas of weapon system analysis and the development of weapon systems simulations. Since 1978 he has been involved in the development of tools and methodologies that can be applied to the solution of shipboard combat system/battle force system architecture and engineering problems. Mr. Mensh is a member of ASNE MORS IEEE U.S. Naval Institute MAA and the Sigma Xi Research Society. Robert S. Kite:is a systems engineer with the Naval Warfare Systems Engineering Department of the MITRE Corporation in McLean Va. Mr. Kite received his B.S. degree in electronic engineering from The Johns Hopkins University in Baltimore Md. Mr. Kite retired from the Federal Communications Commission in 1979 and served a project manager of the J-12 Frequency Management Support Project for the Illinois Institute of Technology Research Institute in Annapolis Md. before joining MITRE. Mr. Kite is presently a member of ASNE the Military Operations Research Society and an associate member of Sigma Xi. Paul H. Darby:has worked in the field of interoperability both in the development of interoperability concepts and systems since joining the Department of the Navy in 1967. He was the Navy's program manager for the WestPacNorth TACS/ TADS and IFFN systems. He is currently head of the Interoperability Branch Warfare Systems Engineering Office Space and Naval Warfare Systems Command. He holds a B.S. from the U.S. Naval Academy.

JCS Pub 1 defines interoperability as “The ability of systems, units or forces to provide services to and accept services from other systems, units or forces and to use the services so exchanged to enable them to operate effectively together.” With JCS Pub 1 as a foundation, interoperability of systems, units or forces can be factored into a set of components that can quantify interoperability. These components are: media, languages, standards, requirements, environment, procedures, and human factors. The concept described in this paper uses these components as an analysis tool to enable specific detailed analyses of the interoperability of BFC3 systems, units, or forces for the purpose of uncovering and resolving interoperability issues and problems in the U.S. Navy, Joint, and Allied arenas. Also, as a management tool, the components can help determine potential interoperability characteristics of future U.S. Navy BFC3 systems for compliance with battle force systems architectures. The approach selected for the quantification of interoperability was the development of a set of measures of performance (MOPs) and measures of effectiveness (MOEs). The MOPs/MOEs were integrated with a candidate set of components, which were used to partition the totality of interoperability into measurable entities. The methodology described employs basic truth table theory in conjunction with logic equations to evaluate the interoperability components in terms of MOPs that were aggregated to MOEs. It is believed that this concept, although elementary and based on fundamental principles, represents an operationally significant approach rather than a theoretical approach to the quantification of interoperability. The vehicle used as a means to measure the MOPs and MOEs was the Research Evaluation and systems Analysis (RESA) computer modeling and simulation capability at the Naval Ocean systems Center (NOSC), San Diego, Calif. Data for the measurements were collected during a Tactical I

关键词： Military Engineering

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"what We Breathe Impacts Our Health: Improving Understanding of the Link between Air Pollution and Health"

"what We Breathe Impacts Our Health: Improving Understanding...

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作者： West, J. Jason Cohen, Aaron Dentener, Frank Brunekreef, Bert Zhu, Tong Armstrong, Ben Bell, Michelle L. Brauer, Michael Carmichael, Gregory Costa, Dan L. Dockery, Douglas W. Kleeman, Michael Krzyzanowski, Michal Künzli, Nino Liousse, Catherine Lung, Shih-Chun Candice Martin, Randall V. Pöschl, Ulrich Pope, C. Arden Roberts, James M. Russell, Armistead G. Wiedinmyer, Christine Environmental Sciences and Engineering University of North Carolina at Chapel Hill Chapel HillNC27599 United States Health Effects Institute BostonMA02110 United States European Commission Joint Research Centre Institute for Environment and Sustainability IspraI. 21027 Italy Institute for Risk Assessment Sciences Universiteit Utrecht Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht3584 CJ Netherlands State Key Lab for Environmental Simulation and Pollution Control College of Environmental Science and Engineering Peking University Beijing100871 China Social and Environmental Health Research London School of Hygiene and Tropical Medicine LondonWC1E 7HT United Kingdom School of Forestry and Environmental Studies Yale University New HavenCT06511 United States School of Population and Public Health University of British Columbia VancouverBCV6T 1Z3 Canada Chemical and Biochemical Engineering University of Iowa Iowa CityIA52242 United States Air Climate and Energy Research Program Office of Research and Development Environmental Protection Agency DurhamNC27705 United States Harvard T. H. Chan School of Public Health BostonMA02115 United States Civil and Environmental Engineering University of California at Davis DavisCA95616 United States Environmental Research Group King's College London LondonSE1 9NH United Kingdom Epidemiology and Public Health Swiss Tropical and Public Health Institute Basel Switzerland University of Basel Basel Switzerland Laboratoire d' Aérologie CNRS-Université de Toulouse Toulouse31400 France Research Center for Environmental Changes Academia Sinica Taipei Taiwan Physics and Atmospheric Science Dalhousie University HalifaxNSB3H 4R2 Canada Harvard-Smithsonian Center for Astrophysics CambridgeMA02138 United States Multiphase Chemistry Department Max Planck Institute for Chemistry Mainz55128 Germany Economics Brigham Young University ProvoUT84602 United States Ea

Air pollution contributes to the premature deaths of millions of people each year around the world, and air quality problems are growing in many developing nations. While past policy efforts have succeeded in reducing particulate matter and trace gases in North America and Europe, adverse health effects are found at even these lower levels of air pollution. Future policy actions will benefit from improved understanding of the interactions and health effects of different chemical species and source categories. Achieving this new understanding requires air pollution scientists and engineers to work increasingly closely with health scientists. In particular, research is needed to better understand the chemical and physical properties of complex air pollutant mixtures, and to use new observations provided by satellites, advanced in situ measurement techniques, and distributed micro monitoring networks, coupled with models, to better characterize air pollution exposure for epidemiological and toxicological research, and to better quantify the effects of specific source sectors and mitigation strategies. © 2016 American Chemical Society.

关键词： Health

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Corrigendum to “Geochronology and geochemistry of the Cryogenian sedimentary rocks and Early Paleozoic mafic dykes of the South Qinling belt: Implications for the tectonic evolution of the northwestern South China craton” [Lithos 444–445, (2023)1–20]

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Lithos 2023年 448-449卷

作者： Jie Li Xiaogang Li Chen Wu Hao Wu Peter J. Haproff Andrew V. Zuza State Key Laboratory of Tibetan Plateau Earth System Environment and Resources (TPESER) Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing 100101 China Chongqing Key Laboratory of Complex Oil and Gas Field Exploration and Development Chongqing University of Science and Technology Chongqing 401331 China School of Earth Sciences and Resources China University of Geosciences (Beijing) Beijing 100083 China Chengdu Center China Geological Survey Chengdu 610081 China Department of Earth and Ocean Sciences University of North Carolina Wilmington NC 28403 USA Nevada Bureau of Mines and Geology University of Nevada Reno NV 89557 USA

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Operational systems, logistics engineering and technology insertion

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NAVAL ENGINEERS JOURNAL 1997年第3期109卷 205-220页

作者： Grubb, MJ Skolnick, A Michael J. Grubb:has perfomzed naval engineering at the Crane Division Naval Surface Warfare Center (NSWC) for more than twenty-five years. He currently the program manager for the Sustainable Hardware and Affordable Readiness Practice Program (SHARP). is a Navy-wide logistics research and development prgram aimed at the successful transiton of proved technologies inot the fleet. SHARP focuses on reducing acquisition performance capability reliability maintainability and readiness of these systems. Mr. Grubb has served as a department director for the past eleven years. His most recent assignment was as director of the Tactical Computer Resources and Test Equipment Department. This organization provided acquisition and in-service engineering support of the Navy's tectical embedded computers priphirals displays and mass memory storage devices. The organization also provided a complete range of product engineering and metrology engineerig services for SSP NevSeaSysCom and the Trident Program. Prior to this appointment Mr. Grubb was deptuy director psysical security programs department and site responsible for program management and system integration of ashore integrated security systems. Mr. Grubb holds a B.S. degree in industrial engineering from Iowa State Universtiy an M.S. degree in industrial engineering from Purdue University and has copleted the course work (Dec.'96 for a master's degree in public and environment affairs at Indiana University-Purdue Univeristy Indianapolis. Dr. Alfred Skolnick operates System Science Consultants (SSC) specilizing in strategic planning technical program definiton technology assessment and engineering analyses on selected matters of national interest. He has taught physics mathematics and management sciences at University of Virginia and Marymount University and is currently adjunct professor of mathematics at Northern Virginia Community College. Form 1985 to 1989 he was president of the American Society of Noval Engineers. Dr. Skolnick served at Applied Physic

In an era of fiscal austerity, downsizing and unforgiving pressure upon human and economic capital, it is an Augean task to identify resources for fresh and creative work. The realities of the day and the practical demands of more immediate fleet needs can often dictate higher priorities. Yet, the Navy must avoid eating its seed corn. Exercising both technical insight and management foresight, the fleet, the R&D community, the Office of the Chief of Naval Operations (OpNav) and the product engineering expertise of the Naval Surface Warfare Center (NSWC) are joined and underway with integrated efforts to marry new, fully demonstrated technologies and operational urgencies. Defense funding today cannot sponsor all work that can be mission-justified over the long term because budgets are insufficient to support product maturation within the classical development cycle. However, by rigorous technical filtering and astute engineering of both marketplace capabilities and currently available components, it is possible in a few select cases to compress and, in effect, integrate advanced development (6.3), engineering development (6.4), weapon procurement (WPN), ship construction (SCN), operation and maintenance (O&M,N) budgetary categories when fleet criticalities and technology opportunities can happily meet. In short, 6.3 funds can be applied directly to ''ripe gateways'' so modern technology is inserted into existing troubled or aging systems, sidestepping the lengthy, traditional development cycle and accelerating practical payoffs to recurrent fleet problems. To produce such constructive results has required a remarkable convergence of sponsor prescience and engineering workforce excellence. The paper describes, extensively, the philosophy of approach, transition strategy, polling of fleet needs, technology assessment, and management team requirements. The process for culling and selecting specific candidate tasks for SHARP sponsorship (matching operational need with t

关键词： Naval vessels

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The 2024 Motile Active Matter Roadmap

arXiv

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arXiv 2024年

作者： Gompper, Gerhard Stone, Howard A. Kurzthaler, Christina Saintillan, David Peruani, Fernado Fedosov, Dmitry A. Auth, Thorsten Cottin-Bizonne, Cecile Ybert, Christophe Clément, Eric Darnige, Thierry Lindner, Anke Goldstein, Raymond E. Liebchen, Benno Binysh, Jack Souslov, Anton Isa, Lucio di Leonardo, Roberto Frangipane, Giacomo Gu, Hongri Nelson, Bradley J. Brauns, Fridtjof Marchetti, M. Cristina Cichos, Frank Heuthe, Veit-Lorenz Bechinger, Clemens Korman, Amos Feinerman, Ofer Cavagna, Andrea Giardina, Irene Jeckel, Hannah Drescher, Knut Theoretical Physics of Living Matter Institute for Advanced Simulation Forschungszentrum Jülich Jülich Germany Princeton University Department of Mechanical and Aerospace Engineering PrincetonNJ United States Max Planck Institute for the Physics of Complex Systems Center for Systems Biology Dresden Cluster of Excellence Physics of Life TU Dresden Dresden Germany University of California San Diego United States CY Cergy Paris University France Université de Lyon Université Claude Bernard Lyon 1 CNRS Institut Lumière Matière Villeurbanne France Laboratoire PMMH-ESPCI UMR 7636 CNRS-PSL-Research University Sorbonne Université Université Paris Cité Paris France Institut Universitaire de France Paris France Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge United Kingdom Technische Universität Darmstadt Darmstadt64289 Germany Institute of Physics Universiteit van Amsterdam Science Park 904 Amsterdam1098 XH Netherlands T.C.M. Group Cavendish Laboratory University of Cambridge CambridgeCB3 0HE United Kingdom Laboratory for Soft Materials and Interfaces Department of Materials ETH Zurich Zurich8093 Switzerland Dipartimento di Fisica Sapienza Università di Roma Italy Department of Physics University of Konstanz Konstanz Germany Institute of Robotics and Intelligent Systems ETH Zürich Zurich Switzerland Kavli Institute for Theoretical Physics University of California Santa BarbaraCA93106 United States Department of Physics University of California Santa BarbaraCA93106 United States Molecular Nanophotonics Leipzig University Leipzig04013 Germany UMI FILOFOCS Israel Department of Physics of Complex Systems Weizmann Institute of Science Israel Rome Italy Dipartimento di Fisica Sapienza Università di Roma INFN Unità di Roma 1 Rome Italy Department of Biology and Biological Engineering California Institute of Technology Pasadena91125 United States Biozentrum University of Basel Basel4056 Switzerl

Activity and autonomous motion are fundamental aspects of many living and engineering systems. Here, the scale of biological agents covers a wide range, from nanomotors, cytoskeleton, and cells, to insects, fish, birds, and people. Inspired by biological active systems, various types of autonomous synthetic nano- and micromachines have been designed, which provide the basis for multifunctional, highly responsive, intelligent active materials. A major challenge for understanding and designing active matter is their inherent non-equilibrium nature due to persistent energy consumption, which invalidates equilibrium concepts such as free energy, detailed balance, and time-reversal symmetry. Furthermore, interactions in ensembles of active agents are often non-additive and non-reciprocal. An important aspect of biological agents is their ability to sense the environment, process this information, and adjust their motion accordingly. It is an important goal for the engineering of microrobotic systems to achieve similar functionality. With many fundamental properties of motile active matter now reasonably well understood and under control, the ground is prepared for the study of physical aspects and mechanisms of motion in complex environments, of the behavior of systems with new physical features like chirality, of the development of novel micromachines and microbots, of the emergent collective behavior and swarming of intelligent self-propelled particles, and of particular features of microbial systems. The vast complexity of phenomena and mechanisms involved in the self-organization and dynamics of motile active matter poses major challenges, which can only be addressed by a truly interdisciplinary effort involving scientists from biology, chemistry, ecology, engineering, mathematics, and physics. The 2024 motile active matter roadmap of Journal of Physics: Condensed Matter reviews the current state of the art of the field and provides guidance for further progress in t

关键词： Microrobots

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A ring-like accretion structure in M87 connecting its black hole and jet

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Nature 2023年第7958期616卷 686-690页

作者： Ru-Sen Lu Keiichi Asada Thomas P Krichbaum Jongho Park Fumie Tazaki Hung-Yi Pu Masanori Nakamura Andrei Lobanov Kazuhiro Hada Kazunori Akiyama Jae-Young Kim Ivan Marti-Vidal José L Gómez Tomohisa Kawashima Feng Yuan Eduardo Ros Walter Alef Silke Britzen Michael Bremer Avery E Broderick Akihiro Doi Gabriele Giovannini Marcello Giroletti Paul T P Ho Mareki Honma David H Hughes Makoto Inoue Wu Jiang Motoki Kino Shoko Koyama Michael Lindqvist Jun Liu Alan P Marscher Satoki Matsushita Hiroshi Nagai Helge Rottmann Tuomas Savolainen Karl-Friedrich Schuster Zhi-Qiang Shen Pablo de Vicente R Craig Walker Hai Yang J Anton Zensus Juan Carlos Algaba Alexander Allardi Uwe Bach Ryan Berthold Dan Bintley Do-Young Byun Carolina Casadio Shu-Hao Chang Chih-Cheng Chang Song-Chu Chang Chung-Chen Chen Ming-Tang Chen Ryan Chilson Tim C Chuter John Conway Geoffrey B Crew Jessica T Dempsey Sven Dornbusch Aaron Faber Per Friberg Javier González García Miguel Gómez Garrido Chih-Chiang Han Kuo-Chang Han Yutaka Hasegawa Ruben Herrero-Illana Yau-De Huang Chih-Wei L Huang Violette Impellizzeri Homin Jiang Hao Jinchi Taehyun Jung Juha Kallunki Petri Kirves Kimihiro Kimura Jun Yi Koay Patrick M Koch Carsten Kramer Alex Kraus Derek Kubo Cheng-Yu Kuo Chao-Te Li Lupin Chun-Che Lin Ching-Tang Liu Kuan-Yu Liu Wen-Ping Lo Li-Ming Lu Nicholas MacDonald Pierre Martin-Cocher Hugo Messias Zheng Meyer-Zhao Anthony Minter Dhanya G Nair Hiroaki Nishioka Timothy J Norton George Nystrom Hideo Ogawa Peter Oshiro Nimesh A Patel Ue-Li Pen Yurii Pidopryhora Nicolas Pradel Philippe A Raffin Ramprasad Rao Ignacio Ruiz Salvador Sanchez Paul Shaw William Snow T K Sridharan Ranjani Srinivasan Belén Tercero Pablo Torne Efthalia Traianou Jan Wagner Craig Walther Ta-Shun Wei Jun Yang Chen-Yu Yu Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai People's Republic of China. rslu@***. Key Laboratory of Radio Astronomy Chinese Academy of Sciences Nanjing People's Republic of China. rslu@***. Max-Planck-Institut für Radioastronomie Bonn Germany. rslu@***. Institute of Astronomy and Astrophysics Academia Sinica Taipei Taiwan ROC. asada@asiaa.sinica.edu.tw. Max-Planck-Institut für Radioastronomie Bonn Germany. tkrichbaum@mpifr-bonn.mpg.de. Institute of Astronomy and Astrophysics Academia Sinica Taipei Taiwan ROC. Korea Astronomy and Space Science Institute Daejeon Republic of Korea. Simulation Technology Development Department Tokyo Electron Technology Solutions Oshu Japan. Mizusawa VLBI Observatory National Astronomical Observatory of Japan Oshu Japan. Department of Physics National Taiwan Normal University Taipei Taiwan ROC. Center of Astronomy and Gravitation National Taiwan Normal University Taipei Taiwan ROC. Department of General Science and Education National Institute of Technology Hachinohe College Hachinohe City Japan. Max-Planck-Institut für Radioastronomie Bonn Germany. Mizusawa VLBI Observatory National Astronomical Observatory of Japan Oshu Japan. kazuhiro.hada@nao.ac.jp. Department of Astronomical Science The Graduate University for Advanced Studies SOKENDAI Mitaka Japan. kazuhiro.hada@nao.ac.jp. Black Hole Initiative Harvard University Cambridge MA USA. Massachusetts Institute of Technology Haystack Observatory Westford MA USA. National Astronomical Observatory of Japan Mitaka Japan. Department of Astronomy and Atmospheric Sciences Kyungpook National University Daegu Republic of Korea. Departament d'Astronomia i Astrofísica Universitat de València Valencia Spain. Observatori Astronòmic Universitat de València Valencia Spain. Instituto de Astrofísica de Andalucía-CSIC Granada Spain. Institute for Cosmic Ray Research The University of Tokyo Chiba Japan. Shanghai Astronomical Observatory Chinese Academy of S

The nearby radio galaxy M87 is a prime target for studying black hole accretion and jet formation. Event Horizon Telescope observations of M87 in 2017, at a wavelength of 1.3 mm, revealed a ring-like structure, which was interpreted as gravitationally lensed emission around a central black hole. Here we report images of M87 obtained in 2018, at a wavelength of 3.5 mm, showing that the compact radio core is spatially resolved. High-resolution imaging shows a ring-like structure of [Formula: see text] Schwarzschild radii in diameter, approximately 50% larger than that seen at 1.3 mm. The outer edge at 3.5 mm is also larger than that at 1.3 mm. This larger and thicker ring indicates a substantial contribution from the accretion flow with absorption effects, in addition to the gravitationally lensed ring-like emission. The images show that the edge-brightened jet connects to the accretion flow of the black hole. Close to the black hole, the emission profile of the jet-launching region is wider than the expected profile of a black-hole-driven jet, suggesting the possible presence of a wind associated with the accretion flow.

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system ENGINEERING STATE-OF-ART EQUAL TO MODERN WARSHIP DESIGN

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NAVAL ENGINEERS JOURNAL 1978年第2期90卷 130-136页

作者： ECKHART, M USN (RET.) The Authoris currently Chief Scientist in the Autonetics Marine Systems Division Rockwell International concentrating in Digital Simulation Applications in System Engineering. A graduate of the U. S. Naval Academy in 1945 he served in various surface assignments until 1950. Subsequent thereto after being designated an Engineering Duty Officer (ED) he had Type Commander Staff Laboratory ESO and Naval Shipyard assignments until 1962 when he became the Miltary Chairman Electrical Science at the U. S. Naval Academy. In 1965 he became the Head Electrical/Electronics Design Branch Bureau of Ships remaining in this assignment until 1967 when he assumed the responsibilities of Director Ship Concept Design Division Naval Ship Engineering Center. Upon retiring from the U. S. Naval Service in 1970 he joined Rockewell International and the following year became the Manager of the Integration Programs Group involved in Model—Based Systems Analysis EM Effectiveness Submarine Control and Ship Data Miltiplexing. His education includes a BS degree from the U. S. Naval Academy a BS degree in Electrical Engineering received from Massachusetts Institute of Technology in 1949 and a MS degree in Electrical Engineering received from The George Washington University in 1967. A former ASNE Council Member he has been active in ASNE at both the National and Local Section levels since 1967.

The general systems engineering state—of—the—art has not been equal to the functional diversity of modern multimission warships, nor to the more complex system relationships that are characteristically involved in their design. Resultant dependence upon qualitative assessments of higher level relationships in warship definition and design has been and is a critical impediment to the Navy's corporate purposes, both in prosecuting its vital rebuilding campaign and in dealing with the technological pace of naval warfare. A design methodology development, first reported on ASNE Day 74, has provided the basis for removing this impediment. The threshold criterion of system engineering, quantification, and correlation of total system design objectives, can be satisfied for warship definition and design. Further, the basic elements of an exploitive system engineering practice have been developed sufficiently to confirm their validity. This work is interpreted in terms of the system engineering structure that can be expected to emerge; first, because it can be done, and second, because its payoffs are so urgently needed by the Navy.

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Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic

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Nature communications 2020年第1期11卷 6292页

作者： Zhu Liu Philippe Ciais Zhu Deng Ruixue Lei Steven J Davis Sha Feng Bo Zheng Duo Cui Xinyu Dou Biqing Zhu Rui Guo Piyu Ke Taochun Sun Chenxi Lu Pan He Yuan Wang Xu Yue Yilong Wang Yadong Lei Hao Zhou Zhaonan Cai Yuhui Wu Runtao Guo Tingxuan Han Jinjun Xue Olivier Boucher Eulalie Boucher Frédéric Chevallier Katsumasa Tanaka Yiming Wei Haiwang Zhong Chongqing Kang Ning Zhang Bin Chen Fengming Xi Miaomiao Liu François-Marie Bréon Yonglong Lu Qiang Zhang Dabo Guan Peng Gong Daniel M Kammen Kebin He Hans Joachim Schellnhuber Department of Earth System Science Tsinghua University Beijing China. zhuliu@***. Laboratoire des Sciences du Climat et de l'Environnement LSCE CEA CNRS UVSQ Centre d'Etudes Orme de Merisiers Gif-sur-Yvette France. Department of Earth System Science Tsinghua University Beijing China. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA. Department of Earth System Science University of California Irvine 3232Croul Hall Irvine CA USA. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing China. Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China. Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. School of Environment Tsinghua University Beijing China. School of Mathematical School Tsinghua University Beijing China. Department of Mathematical Sciences Tsinghua University Beijing China. Center of Hubei Cooperative Innovation for Emissions Trading System Wuhan China. Faculty of Management and Economics Kunming University of Science and Technology 13 Kunming China. Economic Research Centre of Nagoya University Furo-cho Chikusa-ku Nagoya Japan. Institut Pierre-Simon Laplace Sorbonne Université/CNRS Paris France. Université Paris Dauphine Place du Maréchal de Lattre de Tassigny 75016 Paris France.

A Correction to this paper has been published: https://***/10.1038/s41467-020-20254-5.

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Near surface camera informed agricultural land monitoring for climate smart agriculture

Climate Smart Agriculture

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Climate Smart Agriculture 2024年第1期1卷

作者： Le Yu Zhenrong Du Xiyu Li Qiang Zhao Hui Wu Duoji weise Xinqun Yuan Yuanzheng Yang Wenhua Cai Weimin Song Pei Wang Zhicong Zhao Ying Long Yongguang Zhang Jinbang Peng Xiaoping Xin Fei Xu Miaogen Shen Hui Wang Yuanmei Jiao Yong Luo Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing China Ministry of Education Ecological Field Station for East Asian Migratory Birds Beijing China Tsinghua University (Department of Earth System Science)- Xi'an Institute of Surveying and Mapping Joint Research Center for Next-Generation Smart Mapping Beijing China School of Information and Communication Engineering Dalian University of Technology Dalian China Geothermal Geological Brigade Tibet Autonomous Region Geological and Mineral Exploration and Development Bureau Lhasa China International Department Beijing No. 35 High School Beijing China Key Laboratory of Environment Change and Resources Use in Beibu Gulf Ministry of Education Nanning Normal University Nanning China Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation Nanning Normal University Nanning China Key Laboratory of Coastal Environmental Processes and Ecological Restoration Yantai Institute of Coastal Zone Research Chinese Academy of Sciences Yantai China Yellow River Delta Field Observation and Research Station of Coastal Wetland Ecosystem Chinese Academy of Sciences Dongying China Department of Landscape Architecture School of Architecture Tsinghua University Beijing China Institute for National Parks Tsinghua University Beijing China School of Architecture and Hang Lung Center for Real Estate Key Laboratory of Eco Planning & Green Building Ministry of Education Tsinghua University Beijing China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Nanjing China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing Univer

Continuous and accurate monitoring of agricultural landscapes is crucial for understanding crop phenology and responding to climatic and anthropogenic changes. However, the widely used optical satellite remote sensing is limited by revisit cycles and weather conditions, leading to gaps in agricultural monitoring. To address these limitations, we designed and deployed a Near Surface Camera (NSCam) Network across China, and explored its application in agricultural land monitoring and achieving climate-smart agriculture (CSA). By analyzing the image data captured by the NSCam Network, we can accurately assess long-term or abrupt agricultural land changes. According to the preliminary monitoring results, integrating NSCam data with remote sensing imagery greatly enhances the temporal details and accuracy of agricultural monitoring, aiding agricultural managers in making informed decisions. The impacts of abnormal weather conditions and human activities on agricultural land, which are not captured by remote sensing imagery, can be complemented by incorporating our NSCam Network. The successful implementation of this method underscores its potential for broader application in CSA, promoting resilient and sustainable agricultural practices.

关键词： Near surface camera (NSCam) Climate-smart agriculture (CSA) Agricultural monitoring Data fusion Sentinel-2

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