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Removal of pharmaceutical in a biogenic/chemical manganese oxide system driven by manganese-oxidizing bacteria with humic acids as sole carbon source

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Journal of Environmental sciences 2023年第4期126卷 734-741页

作者： Tingming Ye Huijuan Liu Weixiao Qi Jiuhui Qu Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnvironmentTsinghua UniversityBeijing 100084China University of Chinese Academy of Sciences Beijing 100049China

Bioaugmented sand filtration has attracted considerable attention because it can effectively remove contaminants in drinking water without additional chemical reagent *** this study,a synthesized chemical manganese dioxide (MnO_(2)) -coated quartz sand(MnQS) and biogenic manganese oxide (BioMnOx) composite system was proposed to simultaneously remove typical pharmaceutical contaminants and Mn_(2)+.We demonstrated a manganese-oxidizing bacterium,Pseudomonas ***-1,could oxidize Mn_(2)+to generate BioMnOxusing humic acids (HA) as sole carbon *** coaction of MnQS,QJX-1,and the generated BioMnOxin simultaneously removing caffeine and Mn_(2)+in the presence of HA was *** found a synergistic effect between *** and BioMnOxtogether significantly increased the caffeine removal efficiency from 32.8%(MnQS alone) and 21.5%(BioMnOxalone) to 61.2%.Meanwhile,Mn_(2)+leaked from MnQS was rapidly oxidized by QJX-1 to regenerate reactive BioMnOx,which was beneficial for continuous contaminant removal and system *** degradation intermediates of caffeine oxidized by MnQS and BioMnOxwere detected by LC-QTOF-MS analysis,which implied that caffeine was oxidized by a different ***,this work promotes the potential application of bioaugmented sand filtration in pharmaceutical removal in the presence of natural organic matter in drinking water.

关键词： Bioaugmentation MnO_(2)-coated quartz sand Manganese-oxidizing bacteria Humic acid Caffeine

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NASIL: Neural Network Architecture Searching for Incremental Learning in Image Classification 1

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11th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2020

作者： Fu, Xianya Li, Wenrui Chen, Qiurui Zhang, Lianyi Yang, Kai Qing, Duzheng Wang, Rui Beihang University Beijing China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing100854 China

ISBN: (数字)9789811600104

ISBN: (纸本)9789811600098

"Catastrophic forgetting" and scalability of tasks are two major challenges of incremental learning. Both of these issues were related to the insufficient capacity of machine learning model and the insufficiently trained weights as the increasing of tasks. In this paper, we try to figure out the impact of the neural network architecture to the performance of incremental learning in the case of image classification. During the increasing of tasks, we propose to use neural network architecture searching (NAS) to find a structure that fits the new tasks collection better. We build a NAS environment with reinforcement learning as the searching strategy and Long Short-Term Memory network as the controller network. Computation operation and connecting previous nodes are selected for each layer in the search phase. For each time a new group of tasks is added, the neural network architecture is searched and reorganized according to the training data set. To speed up the searching, we design a parameter sharing mechanism, in which the same building blocks in each layer share a group of parameters. We also introduce the quantified-parameter building blocks into the NAS, to identify the best candidate during each round of searching. We test our solution in cifar100 data set, the average accuracy outperforms the current representative solutions (LwEMC, iCaRL, GANIL) by 24.92%, 5.62%, and 3.6%, respectively, the more tasks added, the better our solution performs. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Network architecture

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Knowledge-driven material design platform based on the whole-process simulation and modeling

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International Journal of Modeling, simulation, and Scientific Computing 2022年第2期13卷 1-15页

作者： Gongzhuang Peng Tie Li Xiang Zhai Wenzheng Liu Heming Zhang National Engineering Research Center for Advanced Rolling Technology University of Science and Technology Beijing Beijing 100083 P.R.China Shanghai Electro-Mechanical Engineering Institute Shanghai 201109 P.R.China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing 100854 P.R.China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing 100854P.R.China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing 100854P.R.China National CIMS Engineering Research Center Tsinghua University Beijing 100084P.R.China

In order to realize the agility,collaboration and visualization of alloy material devel-opment process,a product development platform based on simulation and modeling technologies is established in this *** this platform,the whole-process simulation module builds multi-level simulation models based on metallurgical mechanisms from the production line level,the thermo-mechanical coupling field level and the microstructure evolution *** design knowledge management module represents the multi-source heterogeneous material design knowledge through ontology model,including customers’requirement knowledge,material component knowledge,process design knowledge and quality inspection knowledge,and utilizes the case-based reasoning approach to reuse the *** data-driven modeling module applies machine learning algorithms to mine the relationships between product mechanical properties,material components,and process parameters from historical samples,and utilizes multi-objective optimiza-tion algorithms to find the optimal combination of process *** of the developed platform in actual steel mills shows that the proposed method helps to improve the efficiency of product design process.

关键词： Product development knowledge-based engineering multi-scale simulation performance prediction model

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Factor Graph Localization Algorithm Based on Robust Estimation 5

Factor Graph Localization Algorithm Based on Robust Estimati...

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5th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2022

作者： Ma, Jing Mao, Ying Chen, Hangyu Tian, Yuan Science and Technology on Special System Simulation Laboratory Beijing China College of Information and Communication Engineering Harbin Engineering University Harbin China

ISBN: (数字)9781665472111

ISBN: (纸本)9781665472111

In recent years, with the continuous development of unmanned ground vehicles (UGVs), the performance requirements of unmanned vehicle positioning system are also gradually improved. Existing unmanned ground vehicles need to use a variety of sensors to provide measurement information, and the available positioning information is dynamically combined in the positioning system and the positioning results are calculated. In this paper, multi-source information fusion positioning system of unmanned ground vehicles is established based on factor graph model. In order to solve the problem that the factor graph algorithm is difficult to identify and exclude abnormal observations autonomously, this paper combines the robust estimation with the factor graph to improve the factor graph method. The reliability factor is added in the construction of the factor node, which can be adjusted adaptively according to the current measured value to reduce the weight of abnormal observations and ensure the normal operation of the system. simulation results show that the improved factor graph algorithm proposed in this paper can effectively reduce the influence of abnormal observations on positioning accuracy. © 2022 IEEE.

关键词： Information fusion

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Expanding carbon neutrality strategies:Incorporating out-ofboundary emissions in city-level frameworks

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Environmental science and Ecotechnology 2024年第4期20卷 145-153页

作者： Zhe Zhang Mingyu Li Li Zhang Yunfeng Zhou Shuying Zhu Chen Lv Yixuan Zheng Bofeng Cai Jinnan Wang Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100043China School of Environment Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing100084China R&D and International Cooperation Office Chinese Academy of Environmental PlanningBeijing100043China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100043China

Cities are increasingly vital in global carbon mitigation efforts,yet few have specifically tailored carbon neutrality ***,out-of-boundary indirect greenhouse gas(GHG)emissions,aside from those related to electricity and heat imports,are often overlooked in existing pathways,despite their significance in comprehensive carbon mitigation *** this gap,here we introduce an integrated analysis framework focusing on both production and consumption-related GHG *** to Wuyishan,a service-oriented city in Southern China,this framework provides a holistic view of a city's carbon neutrality pathway,from a full-scope GHG emission *** findings reveal the equal importance of carbon reduction within and outside the city's boundaries,with out-of-boundary emissions accounting for 42%of Wuyishan's present total GHG *** insight highlights the necessity of including these external factors in GHG accounting and mitigation strategy *** framework serves as a practical tool for cities,particularly in developing countries,to craft effective carbon neutrality roadmaps that encompass the full spectrum of GHG emissions.

关键词： Greenhouse gas emissions Full-scope emission accounting Carbon neutrality pathway City-level

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Efficient Pt/KFI zeolite catalysts for the selective catalytic reduction of NOxby hydrogen

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Journal of Environmental sciences 2024年第4期138卷 102-111页

作者： Ligang Zhang Yulong Shan Zidi Yan Zhongqi Liu Yunbo Yu Hong He School of Rare Earths University of Science and Technology of ChinaHefei 230026China Ganjiang Innovation Academy Chinese Academy of SciencesGanzhou 341119China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

Aiming at purification of NO_(x)from hydrogen internal combustion engines(HICEs),the hydrogen selective catalytic reduction(H_(2)-SCR)reaction was investigated over a series of Pt/KFI zeolite catalysts.H_(2)can readily reduce NO_(x)to N_(2)and N_(2)O while O_(2)inhibited the deNO_(x)efficiency by consuming the reductant H_(2).The Pt/KFI zeolite catalysts with Pt loading below 0.1wt.% are optimized H_(2)-SCR catalysts due to its suitable operation temperature window since high Pt loading favors the H_(2)-O_(2)reaction which lead to the insufficient of *** to metal Pt^(0)species,Pt^(δ+)species showed lower activation energy of H_(2)-SCR reaction and thought to be as reasonable active ***,Eley-Rideal(E-R)reaction mechanism was proposed as evidenced by the reaction orders in kinetic ***,the optimized reactor was designed with hybrid Pt/KFI catalysts with various Pt loading which achieve a high NO_(x)conversion in a wide temperature range.

关键词： Pt/KFI zeolite Pt loading H_(2)-SCR Reaction conditions Kinetics studies

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Research and Implementation of Model Engineering Environment Integration Based on OpenMBEE 21st

Research and Implementation of Model Engineering Environment...

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21st Asia simulation Conference, AsiaSim 2022

作者： Xue, Junjie Zhou, Junhua Shi, Guoqiang Feng, Chaoqun Xu, Lin Liu, Penghua Quan, Hongyan Engineering Research Center Beijing Simulation Center Beijing100854 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing100854 China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing100854 China Yunnan Chensheng Tendering Consulting Co. Ltd. Kuming650102 China School of Computer Science and Technology East China Normal University Shanghai200062 China

ISBN: (纸本)9789811991974

Aiming at the problem of integrating open tools in a user development environment in complex product design, an integration strategy of model engineering environment based on OpenMBEE is studied. It is based on the technologies of user identity unified authentication and user interaction data collaboration. Specifically, in the solution of unified identity authentication on cross-platform, the extended controller method is provided based on the message queue information flow mechanism. Then, the separation of business logic, data information, and interactive view of user unified authentication are realized, on the basis, that the function of unified identity authentication is realized by using the Software Development Kit (SDK) of OpenMBEE. Besides, in the study of user interaction data collaboration technology, three-layer collaboration mechanisms are proposed, they are the presentation layer collaboration, the business layer collaboration, and the persistence layer collaboration. When the jQuery programming framework is integrated into the bootstrap front-end framework, combing with the OpenMBEE back-end server interface, the collaboration of user interaction data is realized. Through experiments and project practice analysis, the user unified authentication strategy and user interactive collaboration strategy are tested respectively for proving the effectiveness and feasibility of the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Authentication

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Occurrence and Decay of SARS-CoV-2 in Community Sewage Drainage systems

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Engineering 2023年第7期26卷 214-219,I0008,I0009页

作者： Qian Dong 蔡俊雄刘艳臣凌海波 Qi Wang Luo-Jing Xiang Shao-Lin Yang Zheng-Sheng Lu Yi Liu Xia Huang 曲久辉 State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Hubei Provincial Academy of Eco-Environmental Sciences Wuhan 430072China Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

The rapid spread of the coronavirus disease(COVID-19)pandemic in over 200 countries poses a substantial threat to human *** acute respiratory syndrome coronavirus 2(SARS-CoV-2),which causes COVID-19,can be discharged with feces into the drainage ***,a comprehensive understanding of the occurrence,presence,and potential transmission of SARS-CoV-2 in sewers,especially in community sewers,is still *** study investigated the virus occurrence by viral nucleic acid testing in vent stacks,septic tanks,and the main sewer outlets of community where confirmed patients had lived during the early days of the epidemic in Wuhan,*** results indicated that the risk of long-term emission of SARS-CoV-2 to the environment via vent stacks of buildings was low after confirmed patients were ***-CoV-2 were mainly detected in the liquid phase,as opposed to being detected in aerosols,and its RNA in the sewage of septic tanks could be detected for only four days after confirmed patients were *** surveillance of SARS-CoV-2 in sewage could be a sensitive indicator for the possible presence of asymptomatic patients in the community,though the viral concentration could be diluted more than ten times,depending on the sampling site,as indicated by the Escherichia coli *** comprehensive investigation of the community sewage drainage system is helpful to understand the occurrence characteristics of SARS-CoV-2 in sewage after excretion with feces and the feasibility of sewage surveillance for COVID-19 pandemic monitoring.

关键词： SARS-CoV-2 Transmission risk Drainage system Sewage Community

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Adaptive watermark generation mechanism based on time series prediction for stream processing

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Frontiers of Computer science 2021年第6期15卷 59-73页

作者： Yang SONG Yunchun LI Hailong YANG Jun XU Zerong LUAN Wei LI Sino-German Joint Software Institute Beihang UniversityBeijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing 100854China College of Life Sciences and Bioengineering Beijing University of TechnologyBeijing 100083China

The data stream processing framework processes the stream data based on event-time to ensure that the request can be responded to in *** reality,streaming data usually arrives out-of-order due to factors such as network *** data stream processing framework commonly adopts the watermark mechanism to address the data *** is a special kind of data inserted into the data stream with a timestamp,which helps the framework to decide whether the data received is late and thus be *** watermark generation strategies are periodic;they cannot dynamically adjust the watermark distribution to balance the responsiveness and *** paper proposes an adaptive watermark generation mechanism based on the time series prediction model to address the above *** mechanism dynamically adjusts the frequency and timing of watermark distribution using the disordered data ratio and other lateness properties of the data stream to improve the system responsiveness while ensuring acceptable result *** implement the proposed mechanism on top of Flink and evaluate it with realworld *** experiment results show that our mechanism is superior to the existing watermark distribution strategies in terms of both system responsiveness and result accuracy.

关键词： data stream processing watermark time series based prediction dynamic adjustment

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A Compact Antenna Test Range Designed by All-Dielectric Transmitarray

A Compact Antenna Test Range Designed by All-Dielectric Tran...

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Fan Liu Jing Ma Bin Shi Zhong-bo Zhu Lin Peng The Key Laboratory of Microwave and Optical Wave Application Technology Guilin University of Electronic Technology Guilin Guangxi China The Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing China The National Key Laboratory of Science and Technology on Space Microwave Xi'an China

ISBN: (数字)9798350389968

ISBN: (纸本)9798350389975

In this paper, an all-dielectric transmitarray compact antenna test range (TACATR) is proposed. The TACATR can be used as a low-cost alternative to traditional reflector compact antenna test range. The aperture perturbation mechanisms of the TACATR have been investigated, including aperture scattering interference and edge diffraction. Two optimization strategies are proposed to enhance the performance of the quiet zone (QZ). On the one hand, the unwanted edge diffraction is suppressed by employing suitable feeding sources and optimizing the focal aperture ratio (F/D). On the other hand, the interference of aperture scattering in QZ was further suppressed by optimizing the additional phase shift (APS). As an example, a Circular transmitarray (TA) with the dimension of 91mm was designed, which verifies the mechanism of interferences suppressing.

关键词： Microwave antennas Diffraction Horn antennas Perturbation methods Transmitting antennas Millimeter wave technology Scattering

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