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Correction: Emerging per- and polyfluoroalkyl substances (PFAS) in human milk from Sweden and China

Environmental science. Processes & impacts 2021年第1期23卷 188页

作者： Raed Awad Yihui Zhou Elisabeth Nyberg Shahla Namazkar Wu Yongning Qianfen Xiao Yaije Sun Zhiliang Zhu Åke Bergman Jonathan P Benskin Department of Environmental Science (ACES) Stockholm University 106 91 Stockholm Sweden. Raed.Awad@ivl.se Jon.Benskin@aces.su.se and Swedish Environmental Research Institute (IVL) 114 28 Stockholm Sweden. State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai 200092 China. Department of Contaminants Swedish Environmental Protection Agency Virkesvägen 2 SE-106 48 Stockholm Sweden. Department of Environmental Science (ACES) Stockholm University 106 91 Stockholm Sweden. Raed.Awad@ivl.se Jon.Benskin@aces.su.se. NHC Key Laboratory of Food Safety Risk Assessment China National Center for Food Safety Risk Assessment Beijing 100021 China. Key Laboratory of Yangtze River Water Environment (Ministry of Education) College of Environmental Science and Engineering Tongji University Shanghai 200092 China. Department of Environmental Science (ACES) Stockholm University 106 91 Stockholm Sweden. Raed.Awad@ivl.se Jon.Benskin@aces.su.se and State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and Engineering Tongji University Shanghai 200092 China and Department of Science and Technology Örebro University 701 82 Örebro Sweden.

Correction for 'Emerging per- and polyfluoroalkyl substances (PFAS) in human milk from Sweden and China' by Raed Awad et al., Environ. Sci.: Processes Impacts, 2020, 22, 2023-2030, DOI: 10.1039/D0EM00077A.

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Trajectory Optimization for Planetary Multi-Point Powered Landing

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IFAC-PapersOnLine 2017年第1期50卷 8291-8296页

作者： Ma L. Wang K. Shao Z. Song Z. Biegler L.T. College of Control Science and Engineering Zhejiang University Hangzhou 310027 China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing 100854 China Carnegie Mellon University Pittsburgh 15213 United States

Next-generation powered landing guidance for planetary soft landing needs multi-point-guidance capabilities. A novel trajectory optimization framework for planetary multi-point powered landing is presented in this study. First, the powered landing trajectory optimization problem with three-dimensional dynamics model, boundary conditions, and path constraints is formulated. The finite-element collocation approach with collocation based on Radau points is chosen to transcribe the formulated trajectory optimization problem into a nonlinear programming problem solved by Interior Point OPTimizer (IPOPT). The proposed trajectory optimization framework utilizes optimal sensitivity based on IPOPT to select the fuel-optimal landing aim point from candidate landing aim points by one optimization computation. Then, the optimal trajectory to the best landing aim point can be efficiently obtained based on the good initial value guess provided by the sensitivity analysis. Numerical results show that the proposed algorithm effectively and efficiently addresses the planetary multi-point powered landing problem and has potential for onboard implementation. © 2017

关键词： finite-element collocation approach IPOPT multi-point powered landing optimal sensitivity trajectory optimization

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China in action: national strategies to combat against emerging infectious diseases

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science China(Life sciences) 2017年第12期60卷 1383-1385页

作者： Min Han Jinhui Gu George F.Gao William J.Liu CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of Microbiology Chinese Academy of Sciences Division of Major Special Projects Department of Health Science Technology and Education at China's National Health and Family Planning Commission National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention

During the 2013–2016 Ebola epidemic in West Africa,there was a special team as part of an international effort working in *** was the Chinese aid team deployed to West Africa as a multidisciplinary group composed of ... 详细信息

关键词： China in action national strategies combat against emerging infectious diseases

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Two-Layer Distributed Formation-Containment control of Multiple Euler-Lagrange Systems by Output Feedback

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IEEE Transactions on Cybernetics 2018年第2期49卷 675-687页

作者： Li, Dongyu Zhang, Wei He, Wei Li, Chuanjiang Ge, Shuzhi Sam Department of Control Science and Engineering Harbin Institute of Technology Harbin150001 China Shanghai Institute of Satellite Engineering Shanghai Key Laboratory of Deep Space Exploration Technology Shanghai201109 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering National University of Singapore Singapore117576 Singapore

This paper addresses the distributed formation-containment (DFC) problem for multiple Euler-Lagrange systems with model uncertainties via output feedback in both constant and time-varying formation cases. First, a novel definition of the DFC problem is proposed using a two-layer framework. Since only parts of the followers can acquire the states of the dynamic leader, we design a distributed finite-time sliding-mode estimator to obtain accurate estimations of the desired position and velocity for each agent. Next, to deal with the absence of velocity sensors, we propose two DFC control laws combined with the high-gain observer for the leaders and the followers, respectively, while the time-varying formation in the first layer and the leader-based containment in the second layer can be achieved. Further, the adaptive neural networks are applied to deal with the model uncertainties due to their superior approximation capability. The uniform ultimate boundedness of all the state errors can be guaranteed by Lyapunov stability theory. In addition, a unified framework is given which can be transformed to four other basic distributed problems. Finally, simulation examples are presented to illustrate the feasibility of the theoretical results. © 2013 IEEE.

关键词： Lagrange multipliers

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A Schottky diodes based W-band 4th-harmonic mixer

A Schottky diodes based W-band 4th-harmonic mixer

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2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017

作者： Liu, Yang Zhang, Bo Zhang, Lisen Fan, Yong EFH Key Laboratory of Science University of Electronic Science and Technology of China Chengdu Sichuan611731 China National Key Laboratory of Application Specific Integrated Circuit Hebei Semiconductor Research Institute Shijiazhuang050000 China

ISBN: (纸本)9780996007856

In this paper, a broadband fourth-harmonic mixer based on gallium arsenide (GaAs) Schottky barrier diodes working at 80-100GHz is designed. This fourth-harmonic mixer is simulated and attains low conversion loss below 14dB in the whole band. The design process and simulation results are explained in detail. © 2017 Applied Computational Electromagnetics Society.

关键词： Schottky barrier diodes

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A 620-690 GHz sub-harmonic mixer based on monolithic GaAs integrated schottky diodes

A 620-690 GHz sub-harmonic mixer based on monolithic GaAs in...

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2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017

作者： Ji, Dong Feng Zhang, Bo Zhang, Lisen Xing, Dong Fan, Yong EHF Key Laboratory of Science University of Electronic Science and Technology of China Chengdu Sichuan611731 China National Key Laboratory of Application Specific Integrated Circuit Hebei Semiconductor Research Institute Shijiazhuang050000 China

ISBN: (纸本)9780996007856

In this paper, a 620-690GHz sub-harmonic mixer using monolithic GaAs integrated schottky diodes is presented in order to remove the mismatch caused by manual assembly of the flip chip diode. The monolithic microwave integrated circuit integrates a Schottky anti-parallel diodes pair in a longitudinal configuration. We mostly analyzed the influence caused by diode position offset and conductive adhesive thickness on the performance of the mixer, which shows the necessity of monolithic integration technology. In 620GHz to 690 GHz simulated results of the mixer had achieved less than 9dB of conversion loss and 920K for DSB noise temperature within the bandwidth. © 2017 Applied Computational Electromagnetics Society.

关键词： Gallium arsenide

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Gas Sensing: Scalable Superior Chemical Sensing Performance of Stretchable Ionotronic Skin via a π-Hole Receptor Effect (Adv. Mater. 13/2021)

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Advanced Materials 2021年第13期33卷

作者： Ming Liang Jin Sangsik Park Hyukmin Kweon Hyeong-Jun Koh Min Gao Chao Tang Soo-Yeon Cho Yunpyo Kim Shuye Zhang Xinlin Li Kwanwoo Shin Aiping Fu Hee-Tae Jung Chi Won Ahn Do Hwan Kim Institute for Future Automation School of Qingdao University Qingdao 266071 China Shandong Key Laboratory of Industrial Control Technology Automation School of Qingdao University Qingdao 266071 China Department of Chemical Engineering Pohang University of Science and Technology Pohang 37673 Republic of Korea Department of Chemical Engineering Hanyang University Seoul 04763 Republic of Korea Department of Chemical and Biomolecular Engineering (BK-21 Plus) Korea Advanced Institute of Science and Technology (KAIST) Daejeon 305–701 Republic of Korea Institute of Microengineering École Polytechnique Fédérale de Lausanne (EPFL) Rue de la Maladière 71b Neuchâtel 2000 Switzerland Department of Mechanical Engineering Tsinghua University Beijing 100084 China Department of Chemical Engineering Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge MA 02139 USA Department of Chemistry and Institute of Biological Interfaces Sogang University Seoul 04107 Republic of Korea State Key Laboratory of Advanced Welding and Jointing Harbin Institute of Technology Harbin 150001 China College of Electromechanical Engineering Qingdao University Qingdao 266071 China College of Chemistry and Chemical Engineering Qingdao University Qingdao 266071 China Department of Nano-Structured Materials Research National NanoFab Center (NNFC) 291 Daehak-ro Yuseong-gu Daejeon 305–338 Republic of Korea Institute of Nano Science and Technology Seoul 04763 Republic of Korea

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PDP: Parallel Dynamic Programming

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 1-5页

作者： Fei-Yue Wang Jie Zhang Qinglai Wei Xinhu Zheng Li Li IEEE State Key Laboratory of Management and Control for Complex Systems(SKL-MCCS) Institute of AutomationChinese Academy of Sciences(CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences(SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Department of Computer Science and Engineering University of Minnesota Department of Automation Tsinghua University

Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive dynamic programming ADP is first presented instead of direct dynamic programming DP , and the inherent relationship between ADP and deep reinforcement learning is developed. Next, analytics intelligence, as the necessary requirement, for the real reinforcement learning, is discussed. Finally, the principle of the parallel dynamic programming, which integrates dynamic programming and analytics intelligence, is presented as the future computational intelligence. © 2014 Chinese Association of Automation.

关键词： Artificial intelligence Neural networks Reinforcement learning

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Global diversity and biogeography of bacterial communities in wastewater treatment plants (vol 4, pg 1183, 2019)

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NATURE MICROBIOLOGY 2019年第12期4卷 2579-2579页

作者： Wu, Linwei Ning, Daliang Zhang, Bing Li, Yong Zhang, Ping Shan, Xiaoyu Zhang, Qiuting Brown, Mathew Robert Li, Zhenxin Van Nostrand, Joy D. Ling, Fangqiong Xiao, Naijia Zhang, Ya Vierheilig, Julia Wells, George F. Yang, Yunfeng Deng, Ye Tu, Qichao Wang, Aijie Zhang, Tong He, Zhili Keller, Jurg Nielsen, Per H. Alvarez, Pedro J. J. Criddle, Craig S. Wagner, Michael Tiedje, James M. He, Qiang Curtis, Thomas P. Stahl, David A. Alvarez-Cohen, Lisa Rittmann, Bruce E. Wen, Xianghua Zhou, Jizhong State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing China Institute for Environmental Genomics Department of Microbiology and Plant Biology and School of Civil Engineering and Environmental Sciences University of Oklahoma Norman OK USA Consolidated Core Laboratory University of Oklahoma Norman OK USA Environmental Biotechnology Laboratory The University of Hong Kong Hong Kong China School of Environment Northeastern Normal University Changchun China School of Engineering Newcastle University Newcastle upon Tyne UK Department of Energy Environmental and Chemical Engineering Washington University in St Louis St Louis MO USA Department of Microbiology and Ecosystem Science Division of Microbial Ecology Research Network ''Chemistry meets Microbiology'' University of Vienna Vienna Austria Karl Landsteiner University of Health Sciences Division of Water Quality and Health Krems Austria and Interuniversity Cooperation Centre for Water and Health Krems Austria Department of Civil and Environmental Engineering Northwestern University Evanston IL USA Institute for Marine Science and Technology Shandong University Qingdao China Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China Department of Civil and Environmental Engineering The University of Tennessee Knoxville TN USA. Institute for a Secure and Sustainable Environment The University of Tennessee Knoxville TN US Advanced Water Management Centre The University of Queensland Brisbane Queensland Australia Department of Chemistry and Bioscience Center for Microbial Communities Aalborg University Aalborg Denmark Department of Civil and Environmental Engineering Rice University Houston TX USA Department of Civil and Environmental Engineering Stanford University Stanford CA USA Center for Microbial Ecology Michigan State University East Lansing MI USA School of Engineering Newcastle University

Microorganisms in wastewater treatment plants (WWTPs) are essential for water purification to protect public and environmental health. However, the diversity of microorganisms and the factors that control it are poorly understood. Using a systematic global-sampling effort, we analysed the 16S ribosomal RNA gene sequences from ~1,200 activated sludge samples taken from 269 WWTPs in 23 countries on 6 continents. Our analyses revealed that the global activated sludge bacterial communities contain ~1 billion bacterial phylotypes with a Poisson lognormal diversity distribution. Despite this high diversity, activated sludge has a small, global core bacterial community (n = 28 operational taxonomic units) that is strongly linked to activated sludge performance. Meta-analyses with global datasets associate the activated sludge microbiomes most closely to freshwater populations. In contrast to macroorganism diversity, activated sludge bacterial communities show no latitudinal gradient. Furthermore, their spatial turnover is scale-dependent and appears to be largely driven by stochastic processes (dispersal and drift), although deterministic factors (temperature and organic input) are also important. Our findings enhance our mechanistic understanding of the global diversity and biogeography of activated sludge bacterial communities within a theoretical ecology framework and have important implications for microbial ecology and wastewater treatment processes.

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Effects of thiamine on Trichothecium and Alternaria rots of muskmelon fruit and the possible mechanisms involved

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Journal of Integrative Agriculture 2017年第11期16卷 2623-2631页

作者： GE Yong-hong LI Can-ying Lü Jing-yi ZHU Dan-shi College of Food Science and Engineering Bohai University/Food Safety Key Laboratory of Liaoning Province~National & LocalJoint Engineering Research Center of Storage Processing and Safety Control Technology for Fresh Agricultural and AquaticProducts Jinzhou 121013 P.R. China

The effects of thiamine against pink and black spot rots caused by Trichothecium roseum and Alternaria alternata and modulation on the metabolism of reactive oxygen species （ROS） and phenylpropanoid pathway were investigated in this paper. In vitro test indicated that thiamine significantly inhibited mycelia growth and spore germination of T. roseum and A. alternata. Thiamine at 100 mmol L-1 effectively inhibited lesion development of muskmelon fruit inoculated with T. roseum or A. alternata, enhanced production rate of O2; and H2O2 content, activities of catalase （CAT）, ascorbate peroxidase （APX） and glutathione reductase （GR） in muskmelon fruit. Thiamine also affect phenylpropanoid pathway in muskmelon fruit by increasing the activities of phenylalanine ammonia lyase （PAL） and peroxidase （POD）, the content of total phenolic compounds, flavonoids and lignin. These results suggest that the effects of thiamine on pink and black spot rots in muskmelon fruits are associated with its direct fungitoxic against the pathogens and the modulation of O2- and H2O2 production, elimi- nating enzymes and phenylpropanoid pathway.

关键词： induced resistance thiamine muskmelon fruit antimicrobial activity phenylpropanoid pathway

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