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Cobalt-loaded carbon nanotubes boosted aerobic ciprofloxacin transformation driven by sulfide:A comprehensive mechanism investigation

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Chinese Chemical Letters 2024年第3期35卷 127-134页

作者： Han-Qing Zhao Peili Lu Fei Chen Chen-Xuan Li Rui Yan Yang Mu State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400044China CAS Key Laboratory of Urban Pollutant Conversion Department of Environmental Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment College of Environment and EcologyChongqing UniversityChongqing 400045China College of Resources and Environmental Engineering Hefei University of TechnologyHefei 230009China

Sulfide oxidation under aerobic conditions can produce active oxygen for the transformation of organic pollutants in aquatic ***,the catalytic performance of transition metal-supported carbon material on this process is poor *** study found that Co-loaded carbon nanotubes(CNTs)was able to realize the efficient aerobic transformation of antibiotic ciprofloxacin(CIP)by sulfide,with the pseudo-first order reaction rate constant improved from 0.013 h^(-1)without catalyst to 0.44–0.71 h^(-1)with 100 mg/L Co-loaded *** oxygen(^(1)O_(2))was the main active specie playing key roles in the process of CIP aerobic transformation with presence of Co-loaded *** studies indicated that the excellent electron transfer ability of Co-loaded CNTs might play an important role to promote the electron transfer and facilitate the formation of intermediate H_(2)O_(2)and^(1)O_(2).Additionally,the Co-loaded CNTs/sulfide system effectively reduced the acute toxicity of organic pollutant,and Co-loaded CNTs showed remarkable cycling stability and negligible *** study gives a better understanding for the Co-loaded CNTs mediated aerobic antibiotics transformation by sulfide,and provide a reference for the application of Co-loaded carbon materials on organics aerobic transformation by sulfide.

关键词： Ciprofloxacin Aerobic transformation Co-loaded carbon nanotubes Sulfide Singlet oxygen

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Backstepping Method and control Allocation for a Fully-Actuated Tri-Rotor

Backstepping Method and Control Allocation for a Fully-Actua...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Wang, Yunhe Zhu, Zhangzhen Zhang, Yu State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9789811581540

This paper considers a tilting tri-rotor unmanned aerial vehicle (UAV) with each rotor having a tilting degree of freedom. The dynamic model of this UAV is obtained in this paper, which is a fully-actuated system instead of an underactuated system. Although it is not a redundant system, it also needs control allocator to distribute virtual control commands to actuators. Therefore, we propose a new control allocation method to solve this nonlinear problem. Meanwhile, the Backstepping method is used to build the entire control architecture. Finally, several simulation experiments are conducted to demonstrate our proposed method. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Backstepping

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Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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Nano Research 2025年第1期18卷 186-194页

作者： Dongxu Jiao Xinyi Li Mingzi Sun Lin Liu Jinchang Fan Jingxiang Zhao Bolong Huang Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineeringand Key Laboratory of Automobile Materials of MOEJilin UniversityChangchun 130012China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina College of Chemistry and Chemical Engineering and Key Laboratory of Photonic and Electronic Bandgap MaterialsMinistry of EducationHarbin Normal UniversityHarbin 150025China

The development of high-performance atomiccatalysts for the carbon dioxide reduction reaction(CO_(2)RR)is atime-consuming process due to the complexity of the reactionmechanism and the uncertainty of the active ***,wehave proposed combining density functional theory(DFT)andmachine learning(ML)to investigate the potential of topologicalgraphene-based dual-atom catalysts(DACs)as CO_(2)*** analyzing the ML results,we identify thenumber of d-orbital electrons in the active site as a key factorinfluencing the CO_(2)RR catalytic ***,wepropose a simple descriptor to measure the CO_(2)RR activity ofthese *** findings provide plausible explanations for thesynergistic interactions between bimetallic atoms in CO_(2)RR andallow us to screen the homogeneous Ni-Ni pair as the mostpromising dual-atom *** work offers a fast MLapproach based on limited DFT calculations to predict the mostelectroactive and stable DACs on carbon support for CO_(2)RR,facilitating rapid screening of high-performance dual-atomcatalysts.

关键词： CO_(2)reaction reduction dual-atom catalysts density functional theory machine learning

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Spatio-Temporal View GAIN for Data Imputation and Dynamic Soft Sensor 11

Spatio-Temporal View GAIN for Data Imputation and Dynamic So...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Ren, Jiayi Chen, Xu Zhao, Chunhui College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

Soft sensor plays a key role in the safe operation of industrial processes and product quality control. Affected by closed-loop feedback, process data often demonstrate certain dynamic characteristics. In addition, traditional soft sensor methods are often based on the assumption of completeness. Once part of the data is missing, the above methods will collapse. In this paper, we propose a Spatio-Temporal view Generative Adversarial Imputation Network (GAIN) for data imputation and apply dynamic soft sensor for block missing accompanied with completely random missing data. Initially, a data pre-imputed strategy is designed to first impute the missing data through GAIN from the perspective of data distribution. Secondly, on the basis of pre-imputation, a data imputation strategy that integrates time and space information is proposed to impute the data precisely, which can comprehensively consider the time series of process data and the correlation between variables, and further improve the accuracy of data imputation. Finally, we propose a dynamic soft sensor method to make real-time predictions of the data. The effectiveness of the proposed method is verified by the Tennessee Eastman (TE) process. © 2022 IEEE.

关键词： Generative adversarial networks

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Degradation of o-dichlorobenzene by DBD-NTP co-modified titanium gel catalyst

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Journal of Environmental sciences 2024年第9期143卷 71-84页

作者： Wenbo Zhang Yi Xing Wei Su Jiaqing Wang Haoqi Jia Yongkang Cui Jing Chen Hui Zhang School of Energy and Environmental Engineering University of Science and Technology BeijingBeijing 100083China Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants University of Science and Technology BeijingBeijing 100083China Guangdong Province Engineering Laboratory for Air Pollution Control Guangzhou 510530China College of Environmental and Resource Sciences Shanxi UniversityTaiyuan 030006China Sinosteel Maanshan Mine Research Institute Co.Ltd. Anhui 243071China

In order to study the degradation process of dioxins in industrial flue gas,the decomposition of o-dichlorobenzene(o-DCB)in a DBD plasma catalytic reactor was *** results showed that an NTP-catalyzed system,especially using the Cu Mn Ti Oxcatalyst,had better o-DCB degradation performance compared to plasma *** combination of the Cu Mn Ti Oxcatalyst with NTP can achieve a degradation efficiency of up to 97.2%for o-DCB;the selectivity of CO and CO_(2)and the carbon balance were 40%,45%,and 85%,*** dielectric constant and electrical property results indicated that the surface discharge capacity of the catalysts played a major role in the degradation of o-DCB,and a higher dielectric constant could suppress the plasma expansion and enhance the duration of the plasma discharge per discharge *** to the O1s XPS and O_(2)-TPD results,the conversion of CO to CO_(2)follows the M-v-K mechanism;thus,the active species on the catalyst surface play an important ***,the Cu Mn Ti Oxand NTP mixed system exhibited excellent stability,which is probably because Cu doping improved the lifetime of the *** work can provide an experimental and theoretical basis for research in the degradation of o-DCB by plasma catalyst systems.

关键词： o-dichlorobenzene(o-DCB) Non-thermal plasma catalysis Ozone concentration

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Prediction Method of Mixed Gas Consumption in Hot Rolling Based on Improved K-Medoids Working Condition Division

Prediction Method of Mixed Gas Consumption in Hot Rolling Ba...

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2023 China Automation Congress, CAC 2023

作者： Li, Hao Xu, Demin Zhou, Fan Zhao, Jun Ministry of Education Key Laboratory of Intelligent Control and Optimization for Industrial Equipment China School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350303759

The prediction of mixed gas consumption in hot rolling production is of great significance in gas production-consumption balance and energy saving. However, in the actual production process of hot rolling, the complexity of production environment and the strong coupling of production processes lead to the complexity of working conditions, which brings great challenges to the prediction of mixed gas consumption. A prediction method of hot rolling mixed gas consumption based on improved K-Medoids working condition division is proposed in this paper. Based on Chebyshev's theorem, the method uses more robust median and median absolute deviation to evaluate the outliers in the cluster at each iteration in terms of distance, and further verifies from the perspective of density to complete the division of normal working conditions and abnormal working conditions. On this basis, considering the time dependence of hot rolling data, the prediction model of mixed gas consumption under corresponding working conditions was established by using the Long Short-Term Memory (LSTM) neural network. In order to verify the effectiveness of the proposed method, the actual industrial field data are used. The simulation results show that the proposed method has high prediction accuracy and is suitable for the prediction of mixed gas consumption in hot rolling. © 2023 IEEE.

关键词： Forecasting

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Dynamic Obstacle Avoidance Algorithm for Robot Arm Based on Deep Reinforcement Learning 11

Dynamic Obstacle Avoidance Algorithm for Robot Arm Based on ...

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11th IEEE Data Driven control and Learning Systems Conference, DDCLS 2022

作者： Cheng, Xiaowei Liu, Shan College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

A dynamic obstacle avoidance planning algorithm based on deep reinforcement learning is proposed for rigid manipulators. After the neural network interacts with the environment and learns, it can give real-time action strategies to guide the manipulator to avoid dynamic obstacles. This paper proposes a new state space description method suitable for manipulators and dynamic environments, and designs the corresponding collision detection method and reward value calculation function for this state description method. The test results in the simulation environment demonstrate the effectiveness of the method. © 2022 IEEE.

关键词： Reinforcement learning

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Comparison of pulse rate variability from post-auricula and heart rate variability during different body states for healthy subjects

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Journal of Medical engineering and technology 2023年第3期47卷 179-188页

作者： Qi, Yusheng Zhang, Aihua Ma, Yurun Chang, Tingting Xu, Jianwen College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou China National Demonstration Center for Experimental Electrical and Control Engineering Education Lanzhou University of Technology Lanzhou China College of Computer and Communication Lanzhou University of Technology Lanzhou China

Heart rate variability (HRV) extracted from the electrocardiogram (ECG) is an essential indicator for assessing the autonomic nervous system in clinical. Some scholars have studied the feasibility of pulse rate variability (PRV) instead of HRV. However, there is little qualitative research in different body states. In this paper, the photoplethysmography (PPG) of postauricular and finger and the ECG of fifteen subjects were synchronously collected for comparative analysis. The eleven experiments were designed according to the daily living state, including the stationary state, limb movement state, and facial movement state. The substitutability of nine variables was investigated in the time, frequency, and nonlinearity domain by Passing Bablok regression and Bland Altman analysis. The results showed that the PPG of the finger was destroyed in the limb movement state. There were six variables of postauricular PRV, which showed a positive linear relationship and good agreement (p > 0.05, ratio (Formula presented.) 0.2) with HRV in all experiments. Our study suggests that the postauricular PPG could retain the necessary information of the pulse signal under the limb movement state and facial movement state. Therefore, postauricular PPG could be a better substitute for HRV, daily PPG detection, and mobile health than finger PPG. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Photoplethysmography

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Optimal Formation Tracking of Second-Order Multi-Agent Systems Without Velocity Interactions 43

Optimal Formation Tracking of Second-Order Multi-Agent Syste...

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43rd Chinese control Conference, CCC 2024

作者： Cao, Xiao-Ying Yi, Jing-Wen Chai, Li Wuhan University of Science and Technology School of Information Science and Engineering Wuhan430081 China Zhejiang University State Key Laboratory of Industrial Control Technology Zhejiang310027 China

ISBN: (纸本)9789887581581

In this paper, we address the optimal formation tracking issue of second-order multi-agent systems without velocity interactions. Firstly, by employing model transformation, the formation tracking problem is converted into a consensus problem for the deviation system, and necessary and sufficient conditions to achieve the formation tracking are obtained. Then, by establishing the direct relationship among the convergence rate, control gains and the network topology, analytical expressions of optimal control gains and the fastest convergence rate are derived by using the Routh-Hurwitz criterion. Finally, the effectiveness of the proposed algorithm is verified through numerical simulations. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： control theory

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Identification of high oxygen-consuming substances in stormwater drainage systems illicitly connected with sewage system

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Journal of Environmental sciences 2024年第4期138卷 132-140页

作者： Chen Xu Zuxin Xu Wenhai Chu Shanshan Wu Rong Xiao Lei Su State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China Ministry of Education Key Laboratory of Yangtze River Water Environment Tongji UniversityShanghai 200092China Guangzhou Resource Environmental Protection Technology Co. Ltd.Guangzhou 510030China

The dissolved oxygen content in water is an important indicator for assessing the quality of the water environment,and maintaining a certain amount of dissolved oxygen is essential for the healthy development of the ecological *** a water body is anoxic,the activity of anaerobic microorganisms increases and organic matter is decomposed to produce a large number of blackening and odorizing substances,resulting in black and odorous water bodies,which is a very common and typical phenomenon in ***,there is still a relatively universal occurrence of illicitly connected stormwater and sewage pipes in the urban drainage pipe network in China,which makes oxygen-consuming substances be directly discharged into rivers through stormwater pipes and consume the dissolved oxygen in the water bodies,resulting in an oxygen deficiency of the *** induces seasonal or year-round black and stink phenomena in urban ***,identifying high oxygen-consuming substances,which lays the foundation for the subsequent removal of oxygen-consuming substances,is *** a series of comparisons of water quality indicators and analysis of organic characteristics,it was found that the oxygen consumption capacity of domestic sewage was higher than that of industrial wastewater in the selected area of this study,and the oxygen-consuming substances of domestic sewage were small molecular amino *** comparing 20 conventional free amino acids,it was found that seven of them consumed oxygen easily,and compared with chemical oxygen consumption,biological oxygen consumption was in a leading position.

关键词： Urban drainage system Oxygen-consuming substances Domestic sewage Amino acid

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