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arXiv 2021年

作者： Palmerio, Erika Nieves-Chinchilla, Teresa Kilpua, Emilia K.J. Barnes, David Zhukov, Andrei N. Jian, Lan K. Witasse, Olivier Provan, Gabrielle Tao, Chihiro Lamy, Laurent Bradley, Thomas J. Leila Mays, M. Möstl, Christian Roussos, Elias Futaana, Yoshifumi Masters, Adam Sánchez-Cano, Beatriz Space Sciences Laboratory University of California–Berkeley BerkeleyCA United States CPAESS University Corporation for Atmospheric Research BoulderCO United States Heliophysics Science Division NASA Goddard Space Flight Center GreenbeltMD United States Department of Physics University of Helsinki Helsinki Finland STFC RAL Space Rutherford Appleton Laboratory Harwell Campus Oxfordshire United Kingdom Solar–Terrestrial Centre of Excellence—SIDC Royal Observatory of Belgium Brussels Belgium Skobeltsyn Institute of Nuclear Physics Moscow State University Moscow Russia ESTEC European Space Agency Noordwijk Netherlands School of Physics and Astronomy University of Leicester Leicester United Kingdom Koganei Japan LESIA Observatoire de Paris PSL CNRS UPMC Université Paris Diderot Meudon France LAM Pythéas Aix Marseille Université CNRS CNES Marseille France Space Research Institute Austrian Academy of Sciences Graz Austria Institute of Geodesy Graz University of Technology Graz Austria Max Planck Institute for Solar System Research Göttingen Germany Swedish Institute of Space Physics Kiruna Sweden The Blackett Laboratory Imperial College London London United Kingdom

One of the grand challenges in heliophysics is the characterisation of coronal mass ejection (CME) magnetic structure and evolution from eruption at the Sun through heliospheric propagation. At present, the main difficulties are related to the lack of direct measurements of the coronal magnetic fields and the lack of 3D in-situ measurements of the CME body in interplanetary space. Nevertheless, the evolution of a CME magnetic structure can be followed using a combination of multi-point remote-sensing observations and multi-spacecraft in-situ measurements as well as modelling. Accordingly, we present in this work the analysis of two CMEs that erupted from the Sun on 28 April 2012. We follow their eruption and early evolution using remote-sensing data, finding indications of CME–CME interaction, and then analyse their interplanetary counterpart(s) using in-situ measurements at Venus, Earth, and Saturn. We observe a seemingly single flux rope at all locations, but find possible signatures of interaction at Earth, where high-cadence plasma data are available. Reconstructions of the in-situ flux ropes provide almost identical results at Venus and Earth but show greater discrepancies at Saturn, suggesting that the CME was highly distorted and/or that further interaction with nearby solar wind structures took place before 10 AU. This work highlights the difficulties in connecting structures from the Sun to the outer heliosphere and demonstrates the importance of multi-spacecraft studies to achieve a deeper understanding of the magnetic configuration of CMEs. © 2021, CC BY.

关键词： Magnetic structure

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swTVM: Towards Optimized Tensor Code Generation for Deep Learning on Sunway Many-Core Processor

arXiv

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arXiv 2019年

作者： Li, Mingzhen Liu, Changxi Liao, Jianjin Zheng, Xuegui Yang, Hailong Sun, Rujun Xu, Jun Gan, Lin Yang, Guangwen Luan, Zhongzhi Qian, Depei School of Computer Science and Engineering Beihang University Beijing China State Key Laboratory of Software Development Environment Beijing China National University of Singapore Singapore Singapore State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to provide application portability. Among the existing deep learning compilers, TVM is well known for its efficiency in code generation and optimization across diverse hardware devices. In the meanwhile, the Sunway many-core processor renders itself as a competitive candidate for its attractive computational power in both scientific computing and deep learning workloads. This paper combines the trends in these two directions. Specifically, we propose swTVM that extends the original TVM to support ahead-of-time compilation for architecture requiring cross-compilation such as Sunway. In addition, we leverage the architecture features during the compilation such as core group for massive parallelism, DMA for high bandwidth memory transfer and local device memory for data locality, in order to generate efficient codes for deep learning workloads on Sunway. The experiment results show that the codes generated by swTVM achieves 1.79× on average compared to the state-of-the-art deep learning framework on Sunway, across six representative benchmarks. This work is the first attempt from the compiler perspective to bridge the gap of deep learning and Sunway processor particularly with productivity and efficiency in mind. We believe this work will encourage more people to embrace the power of deep learning and Sunway many-core processor. Copyright © 2019, The Authors. All rights reserved.

关键词： Program compilers

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Model predictive control method for multirate sampled-data system based on PLS framework

Model predictive control method for multirate sampled-data s...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Shengri Xue Zhan Li Yipeng Yang Liu Yang Yingxin Yan Weiyang Lin School of Astronautics Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System (HIT) Harbin China School of Automation Harbin University of Science and Technology Harbin China Science and Technology on Space Physics Laboratory Beijing China

The target of this article is to design a data-driven model predictive control algorithm for general multirate sampled-data systems. Multirate sampling widely exists in the industrial process control systems. In this paper, not only sampling periods between inputs and outputs are different, but also periods among inputs or outputs are different from each other. For such the general multirate sampled-data system, we combine the lifting technique and partial least square method to obtain inputs/outputs data sets, which are used for the model regression. An incorporating autoregressive exogenous (ARX) structure model is utilized to model predict. Then we give the principal components cost function for the model predictive control algorithm. Finally, we use example to illustrate the ARX model's precision and the efficiency of our data-driven model predictive control algorithm for general multirate sampled-data systems.

关键词： Sampled data systems Predictive models Prediction algorithms Predictive control Heuristic algorithms Mathematical model Cost function

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ANTARCTICA AND THE SOUTHERN OCEAN

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Bulletin of the American Meteorological Society 2024年第8期105卷 S331-S370页

作者： Clem, K.R. Raphael, M.N. Susheel, Adusumilli Charles, Amory Rebecca, Baiman Alison F, Banwell Sandra, Barreira Rebecca L., Beadling Deniz, Bozkurt Kyle R., Clem Steve, Colwell Lawrence, Coy Rajashree T, Datta Pranab, Deb Jos, De Laat Marcel, du Plessis Denise, Fernandez Ryan L., Fogt Helen A., Fricker Sarah T, Gille Bryan, Johnson Simon A., Josey Linda M., Keller Natalya A, Kramarova Jessica, Kromer Leslie, R., Lait Matthew A., Lazzara Jan L., Lieser Michael, MacFerrin Graeme M., MacGilchrist Michelle L., MacLennan Andreas, Marouchos Robert A., Massom Robert A., Massom Clive R., McMahon David E., Mikolajczyk Thomas L., Mote Paul A., Newman Taylor, Norton Irina, Petropavlovskikh Luciano P., Pezzi Michael, Pitts Marilyn N., Raphael Phillip, Reid Michelle L., Santee Theodore A., Scambos Cristina, Schulz Jia-Rui, Shi Everaldo, Souza Sharon, Stammerjohn Sandy, Thomalla Sarat Chandra, Tripathy Luke D., Trusel Katherine, Turner Ziqi, Yin Jessicca, Allen Amy V., Camper Bridgette O., Haley Gregory, Hammer S. Elizabeth, Love-Brotak Laura, Ohlmann Lukas, Noguchi Deborah B., Riddle Sara W., Veasey School of Geography Environment and Earth Sciences Victoria University of Wellington Wellington New Zealand Department of Geography University of California Los Angeles Los Angeles California Scripps Institution of Oceanography University of California San Diego La Jolla California Université Grenoble Alpes Institut des Géosciences de l’Environnement IRD CNRS Grenoble INP Grenoble France Department of Atmospheric and Oceanic Sciences University of Colorado Boulder Boulder Colorado Earth Science and Observation Center Cooperative Institute for Research in Environmental Sciences (ESOC/CIRES) University of Colorado Boulder Boulder Colorado Argentine Naval Hydrographic Service Buenos Aires Argentina Department of Earth and Environmental Science Temple University Philadelphia Pennsylvania Department of Meteorology University of Valparaíso Valparaíso Chile Center for Climate and Resilience Research (CR)2 Santiago Chile British Antarctic Survey Cambridge United Kingdom Science Systems and Applications Inc. Lanham Maryland NASA Goddard Space Flight Center Greenbelt Maryland Centre for Ocean River Atmosphere and Land Sciences (CORAL) Indian Institute of Technology Kharagpur Kharagpur India Royal Netherlands Meteorological Institute (KNMI) DeBilt The Netherlands Department of Marine Sciences University of Gothenburg Gothenburg Sweden National Institute of Water and Atmospheric Research Ltd. (NIWA) Auckland New Zealand Department of Geography Ohio University Athens Ohio NOAA/OAR Earth System Research Laboratory Global Monitoring Laboratory Boulder Colorado University of Colorado Boulder Boulder Colorado Marine Systems Modelling National Oceanography Center Southampton United Kingdom Department of Atmospheric and Oceanic Sciences University of Wisconsin-Madison Madison Wisconsin Antarctic Meteorological Research and Data Center Space Science and Engineering Center University of Wisconsin-Madison Madison Wisconsin Department of Geography Pennsylvania Sta

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Unveiling the secrets of the mid-infrared Moon

arXiv

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arXiv 2020年

作者： Wu, Yunzhao Jin, Qi Li, Cui Xu, Tianyi Qi, Wenwen Tan, Wei Li, Xiaoman Shi, Zhicheng He, Hongyan Dai, Shuwu Li, Guo Liu, Fengjing Wang, Jingqiao Wang, Xiaoyan Lu, Yu Cai, Wei Wang, Qi Meng, Lingjie Key Laboratory of Planetary Sciences Purple Mountain Observatory Chinese Academy of Sciences Nanjing210034 China Space Science Institute Macau University of Science and Technology Macau China Cas Center for Excellence in Comparative Planetology China Beijing Institute of Space Mechanics and Electricity Beijing China Beijing Institute of Spacecraft System Engineering Beijing China China Centre for Resources Satellite Data and Application Beijing China Jiangsu Ctr. for Collab. Innovation in Geographical Information Resource Development and Application Nanjing210023 China Earth Observation System and Data Center China National Space Administration Beijing China

The Moon's optical characteristics in visible and long-wavelength infrared (LWIR) have long been observed with our eyes or with instruments. What the mid-infrared (MIR) Moon looks like is still a mystery. For the first time we present detailed appearance of the MIR Moon observed by a high-resolution geostationary satellite and reveal the essence behind its appearance. The appearance of the MIR Moon is opposite to its normal visible appearance. In addition the MIR Moon shows limb darkening. Both the absolute and the relative brightness distribution of the MIR lunar disk changes with the solar incidence angle. The signatures of the MIR Moon are controlled by both the reflection and emission of the lunar surface. We also show first-ever brightness temperature maps of the lunar disk without needing a mosaic, which better show the temperature variation across the lunar disk. They reveal that the relationship between brightness temperature and solar incidence angle i is cos1/bi, and the power parameter is smaller than the Lambertian temperature model of cos1/4i observed for lunar orbit-based measurements. The slower decrease of the brightness temperature when moving away from the sub-solar point than the Lambertian model is due to topographic effects. The brightness temperature is dominated by albedo and the solar incidence angle and influenced by the topography. Our results indicate that the Moon in the MIR exhibits many interesting phenomena which were previously unknown, and contains abundant information about lunar reflection and thermal emission for future study. Copyright © 2020, The Authors. All rights reserved.

关键词： Infrared devices

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Retraction notice to "Societal knowledge, attitude, and practices towards dengue and associated factors in epidemic-hit areas: Geoinformation assisted empirical evidence" [Heliyon 10 (2024) e23151]

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Heliyon 2025年第9期11卷

作者： Syed Ali Asad Naqvi Muhammad Sajjad Aqil Tariq Liaqat Ali Waseem Shankar Karuppannan Adnanul Rehman Mujtaba Hassan Saad Al-Ahmadi Wesam Atef Hatamleh Department of Geography Government College University Faisalabad Faisalabad 38000 Punjab Pakistan Centre for Geo-computation Studies and Department of Geography Hong Kong Baptist University Hong Kong Special Administrative Region China Department of Wildlife Fisheries and Aquaculture College of Forest Resources Mississippi State University 775 Stone Boulevard Mississippi State 39762-9690 MS USA Department of Applied Geology School of Applied Natural Sciences Adama Science and Technology University Adama P.O. Box 1888 Ethiopia Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity College of Urban and Environmental Sciences Northwest University Xi'an 710127 China Department of Space Science Institute of Space Technology Main Islamabad Expressway Islamabad Pakistan Department of Computer Science College of Computer and Information Sciences King Saud University P.O. Box 51178 Riyadh 11543 Saudi Arabia

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The Molecular Cloud Lifecycle I: Constraining H2 formation and dissociation rates with observations

arXiv

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arXiv 2024年

作者： Bialy, Shmuel Burkhart, Blakesley Seifried, Daniel Sternberg, Amiel Godard, Benjamin Krumholz, Mark R. Walch, Stefanie Hamden, Erika Haworth, Thomas J. Turner, Neal J. Lee, Min-Young Kong, Shuo Physics Department Technion - Israel Institute of Technology Haifa32000 Israel Department of Physics and Astronomy Rutgers University 136 Frelinghuysen Rd PiscatawayNJ08854 United States Center for Computational Astrophysics Flatiron Institute 162 Fifth Avenue New YorkNY10010 United States I. Physics Institute University of Cologne Zülpicher Str. 77 Cologne50937 Germany Center for Data and Simulation Science www.cds.uni-koeln.de Cologne Germany Tel Aviv University P.O. Box 39040 Tel Aviv6997801 Israel Observatoire de Paris Universite PSL Sorbonne Universite LERMA Paris75014 France Laboratoire de Physique de l’Ecole Normale Superieure ENS Universite PSL CNRS Sorbonne Universite Universite de Paris ParisF-75005 France Research School of Astronomy and Astrophysics Australian National University CanberraACT2600 Australia Steward Observatory University of Arizona TucsonAZ85719 United States Astronomy Unit School of Physics and Astronomy Queen Mary University of London LondonE1 4NS United Kingdom Jet Propulsion Laboratory California Institute of Technology PasadenaCA91109 United States Korea Astronomy and Space Science Institute 776 Daedeok-daero Daejeon34055 Korea Republic of

Molecular clouds (MCs) are the birthplaces of new stars in galaxies. A key component of MCs are photodissociation regions (PDRs), where far-ultraviolet radiation plays a crucial role in determining the gas’s physical and chemical state. Traditional PDR models assume chemical steady state (CSS), where the rates of H2 formation and photodissociation are balanced. However, real MCs are dynamic and can be out of CSS. In this study, we demonstrate that combining H2 emission lines observed in the far-ultraviolet or infrared with column density observations can be used to derive the rates of H2 formation and photodissociation. We derive analytical formulae that relate these rates to observable quantities, which we validate using synthetic H2 line emission maps derived from the SILCC-Zoom hydrodynamical simulation. Our method estimates integrated H2 formation and dissociation rates with an accuracy ≈ 30% (on top of uncertainties in observed H2 emission maps and column densities). Our simulations, valid for column densities N ≤ 2 × 1022 cm−2, cover a wide dynamic range in H2 formation and photodissociation rates, showing significant deviations from CSS, with 74% of the MC’s mass deviating from CSS by a factor greater than 2. Our analytical formulae can effectively distinguish between regions in and out of CSS. When applied to actual H2 line observations, our method can assess the chemical state of MCs, providing insights into their evolutionary stages and lifetimes. A NASA Small Explorer mission concept, Eos, will be proposed in 2025 and is specifically designed to conduct the types of observations outlined in this study. © 2024, CC BY.

关键词： NASA

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A Novel Channel Estimation Scheme for Frequency-Selective mmWave Massive MIMO systems

A Novel Channel Estimation Scheme for Frequency-Selective mm...

引用

International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Zhigang Song Jian Sun Wensheng Zhang Cheng-Xiang Wang Minggao Zhang Shandong Provincial Key Lab of Wireless Communication Technologies School of Information Science and Engineering Shandong University Qingdao China The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information Technology Nanjing University of Aeronautics and Astronautics Nanjing China National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University Nanjing China Purple Mountain Laboratories Nanjing China

ISBN: (数字)9781728172361

ISBN: (纸本)9781728172378

In this paper, a two-stage channel estimation scheme is presented for frequency-selective millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with hybrid precoding. Specifically, at the first stage, likelihood function with respective to the channel angle of departure (AoD) and angle of arrival (AoA) are maximized by the deterministic maximum likelihood (DML) estimator to obtain a coarse channel estimate. At the second stage, a space-alternating generalized expectation-maximization (SAGE) based algorithm is proposed to refine the channel parameters. In addition, an angle paring scheme is proposed to paired the AoA and AoD. simulation results show the better performance of the proposed method.

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Publisher Correction: Fabrication of red-emitting perovskite LEDs by stabilizing their octahedral structure

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Nature 2024年第8020期631卷 E10页

作者： Lingmei Kong Yuqi Sun Bin Zhao Kangyu Ji Jie Feng Jianchao Dong Yuanzhi Wang Zirui Liu Shabnum Maqbool Yunguo Li Yingguo Yang Linjie Dai Wanhee Lee Changsoon Cho Samuel D Stranks Richard H Friend Ning Wang Neil C Greenham Xuyong Yang Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai University Shanghai China. Cavendish Laboratory University of Cambridge Cambridge UK. College of Physics Jilin University Changchun China. Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge UK. CAS Key Laboratory of Crust-Mantle Materials and Environments School of Earth and Space Sciences University of Science and Technology of China Hefei China. Shanghai Synchrotron Radiation Facility (SSRF) Zhangjiang Lab Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai China. School of Microelectronics Fudan University Shanghai China. Department of Material Science and Engineering Pohang University of Science and Technology (POSTECH) Pohang Republic of Korea. Institute for Convergence Research and Education in Advanced Technology Yonsei University Seoul Republic of Korea. College of Physics Jilin University Changchun China. ningwang@***. Cavendish Laboratory University of Cambridge Cambridge UK. ncg11@cam.ac.uk. Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai University Shanghai China. yangxy@***. Shanghai Engineering Research Center for Integrated Circuits and Advanced Display Materials Shanghai China. yangxy@***.

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Phytotoxic Effect of Yttrium-Oxide Nanoparticles on the Morphology, Oxidative Stress and Growth of Tomato Seedlings ( Lycopersicon Esculentum )

SSRN

引用

SSRN 2022年

作者： Wang, Xueping Liu, Xiaojie Wang, Lingqing Yang, Xiao Yang, Jun Yan, Xiulan Liang, Tao Hansen, Hans Chr Bruun Yousaf, Balal Shaheen, Sabry M. Bolan, Nanthi Rinklebe, Jörg Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Sino-Danish College University of Chinese Academy of Sciences Beijing100049 China Department of Plant and Environmental Sciences University of Copenhagen Thorvaldsensvej 40 Frederiksberg CDK-1871 Denmark School of Earth and Space Sciences University of Science and Technology of China Anhui Hefei230026 China University of Wuppertal School of Architecture and Civil Engineering Institute of Foundation Engineering Water- and Waste-Management Laboratory of Soil- and Groundwater-Management Pauluskirchstraße 7 Wuppertal42285 Germany King Abdulaziz University Faculty of Meteorology Environment and Arid Land Agriculture Department of Arid Land Agriculture Jeddah21589 Saudi Arabia University of Kafrelsheikh Faculty of Agriculture Department of Soil and Water Sciences Kafr El-Sheikh33516 Egypt Faculty of Science University of Newcastle Callaghan NSW Australia Department of Environment Department of Environment and Energy Sejong University Seoul05006 Korea Republic of

The potential toxicity and ecological risk of rare-earth nanoparticles in the environment have received increasing attention due to their extensive application and inevitable releases. In this work, the physiological toxicity of yttrium oxide nanoparticles (Y2O3 NPs) at different levels (1, 5, 10, 20, 50 and 100 mg·L -1 ) was investigated on the typical commercial crop - tomatoes ( Lycopersicon esculentum ) seedlings. After the exposure of 15 days in Y2O3 NPs, the morphology, physiology, oxidative stress , and translocation mechanism were evaluated. Results revealed that Y2O3 NPs had phytotoxic impacts on germination of seeds and similar phytotoxic effects on morphology (i.e., bud elongation, root elongation and root activity), physiology (i.e., chlorophyll, superoxide dismutase and soluble protein content) and oxidative stress (proline, malondialdehyde). The inhibition rates of different concentrations of Y2O3 NPs in shoot biomass and root biomass varied from 0.2% to 6.3% and 1.0% to 11.3%, respectively. The translocation factor elucidated that Y2O3 NPs significantly suppressed tomato seedlings' shoot and root growth and transferred from root to shoot. These observations were consistent with the process of concentration-dependent uptake, bioaccumulation factor and confirmed by the transmission electron microscopy image. These results illustrated that Y2O3 NPs penetrated the epidermis and entered the cell wall, which occurred in intercellular space and cytoplasm of the mesophyll cell of tomato seedlings by endocytosis. Partial least squares structural equation modeling revealed that the concentration of NPs significantly negatively affects the morphology and physiology, leading to the change of biomass of plants. This study points out that the phytotoxic effect of Y2O3 NPs on morphology, physiology, oxidative stress, and translocation mechanism of tomatoes seedlings demonstrate the possible food chain transfer of Y 2 O 3 NPs. © 2022, The Authors. All rights reserved

关键词： Toxicity

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