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Managing Battery Performance Degradation Using Physics-Informed Learning Scheme for Multiple Health Indicators

IEEE Transactions on Transportation Electrification 2025年第3期11卷 7309-7321页

作者： Qin, Linxiao Sun, Tao Sun, Xi-Ming Xia, Weiguo Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Dalian University of Technology School of Control Science and Engineering Dalian116024 China Tsinghua University Department of Automation Beijing100084 China

To address the challenges in battery health management, this article introduces a physics-informed neural network predictor-estimator scheme. In the framework, the predictor forecasts health degradation, setting benchmarks for the estimator, while the estimator provides calibrations for the predictor as a substitution for infeasible measurement techniques. For the predictor design, a linear-exponential model is employed for two-stage degradation prediction, enabling online parameter updates and knee point detection. For the estimator design, three neural networks embedded with Coulomb counting and equivalent circuits are proposed to estimate the state of charge (SOC), internal resistance, and capacity, respectively. Experimental results on the A123 dataset demonstrate the superior accuracy of our scheme, with a maximum R2 improvement of 22.8% in prediction tasks and 11.5% in estimation tasks, while maintaining lightweight network structures with fewer than 1000 floating-point operations (FLOPs) and 200 parameters. © 2015 IEEE.

关键词： Electronic health record

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ZSEE: A Dataset based on Zeolite Synthesis Event Extraction for Automated Synthesis Platform

ZSEE: A Dataset based on Zeolite Synthesis Event Extraction ...

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2024 Findings of the Association for Computational Linguistics: NAACL 2024

作者： He, Song Peng, Xin Cai, Yihan Li, Xin Yuan, Zhiqing Du, Wenli Yang, Weimin State Key Laboratory of Industrial Control Technology East China University of Science and Technology China State Key Laboratory of Green Chemical Engineering and Industrial Catalysis Sinopec Shanghai Research Institute of Petrochemical Technology China

ISBN: (纸本)9798891761193

Automated synthesis of zeolite, one of the most important catalysts in chemical industries, holds great significance for attaining economic and environmental benefits. Structural synthesis data extracted through NLP technologies from zeolite experimental procedures can significantly expedite automated synthesis owing to its machine readability. However, the utilization of NLP technologies in information extraction of zeolite synthesis remains restricted due to the lack of annotated datasets. In this paper, we formulate an event extraction task to mine structural synthesis actions from experimental narratives for modular automated synthesis. Furthermore, we introduce ZSEE, a novel dataset containing fine-grained event annotations of zeolite synthesis actions. Our dataset features 16 event types and 13 argument roles which cover all the experimental operational steps of zeolite synthesis. We explore current state-of-the-art event extraction methods on ZSEE, perform error analysis based on the experimental results, and summarize the challenges and corresponding research directions to further facilitate the automated synthesis of zeolites. The code is publicly available at https://***/Hi-0317/ZSEE. © 2024 Association for Computational Linguistics.

关键词： Zeolites

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Fabricating PdCe/OMS-2 catalysts with boosted low-temperature activity for toluene deep degradation

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Journal of Rare Earths 2023年第6期41卷 839-849,I0002页

作者： Lin Yue Zhihua Xu Minghua Hu Mingjiao Tian Mudi Ma Bijie Huang Chi He State Key Laboratory of Multiphase Flow in Power Engineering School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an 710049China State Key Laboratory of Precision Blasting and Hubei Key Laboratory of Industrial Fume and Dust Pollution Control Jianghan UniversityWuhan 430056China National Engineering Laboratory for VOCs Pollution Control Material&Technology University of Chinese Academy of SciencesBeijing 101408China

Porous cryptomelane-type octahedral molecular sieve(OMS-2)with mixed Mn valence and abundant lattice oxygen species has attracted much attention in volatile organic compounds(VOC)catalytic ***,complete conversion of arene over OMS-2 catalysts at relatively low temperature is still a challenge due to its limited crystal structure and inferior ***,a series of PdCe/OMS-2 catalysts with different Pd/Ce molar ratios was fabricated by a facile impregnation method and the physicochemical properties of which were extensively characterized by X-ray diffraction(XRD),scanning electron microscopy(SEM),high-resolution transmission electron microscopy(HR-TEM),B runauer-Emmett-Teller(BET)method,X-ray fluorescence(XRF),X-ray photoelectron spectroscopy(XPS),temperature programmed reduction of H2(H2-TPR),Raman,In situ diffused reflectance infrared Fourier transform spectra(DRIFTS),and density functional theory(DFT)*** show that the total conversion of toluene can be achieved at 207℃ over PdCe2 with apparent activation energy as low as 62.6 kJ/*** strong synergistic effect between Pd and Ce remarkably boosts the catalytic activity of OMS-2,attributed to the abundant Mn^(3+)-O bands and active surface oxygen *** results reveal that oxygen vacancy can be formed over PdCe2 much easily than that of Pd/OMS-2 and Ce/OMS-2 with the oxygen vacancy formation energy of2.42,2.83 and 2.68 eV,*** increasing the Pd content cannot promote the catalytic activity although PdO is a critical active center in toluene *** vacancy attributed to the integrative effect of Pd,Ce and Mn species plays a promine nt role over prepared catalysts in toluene activation *** findings reported in this work showed new insights into the designing of highly efficient OMS-2catalysts for VOC deep oxidation by tuning oxygen vacancy concentration.

关键词： PdCe/OMS-2 Toluene Catalytic oxidation Oxygen vacancy Rare earths

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Doped-nitrogen enhanced the performance of Nb_(2)CT_(x)on the electrocatalytic synthesis of H_(2)O_(2)

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Nano Research 2023年第5期16卷 6120-6127页

作者： Shijie Zhang Jingnan Zheng Junming Lin Yuanan Li Zhikang Bao Xiaoge Peng Wenkai Ji Lei Ding Zaixiang Xu Guoliang Wang Xing Zhong Jianguo Wang Institute of Industrial Catalysis State Key Laboratory Breeding Base of Green-Chemical Synthesis TechnologyCollege of Chemical EngineeringZhejiang University of TechnologyHangzhou 310014China Zhejiang Center for Disease Control and Prevention Hangzhou 310051China

Electrochemical oxygen reduction reaction(ORR)for preparing hydrogen peroxide(H_(2)O_(2))is a promising way to replace the anthraquinone *** key to H_(2)O_(2)production is the development of catalysts to regulate the oxygen reduction reaction ***,nitrogen-doped Nb_(2)CT_(x)was prepared by NH3 annealing *** with precursor Nb_(2)AlC(67.01%)and pure Nb_(2)CT_(x)(75.70%),nitrogen-doped Nb_(2)CT_(x)exhibited excellent performance for 2e−ORR with>90%H_(2)O_(2)selectivity(at 0.4 V *** hydrogen electrode(RHE)).Faradic efficiency of nitrogen-doped Nb_(2)CT_(x)reached 80.75%,whereas those for Nb2AlC and Nb_(2)CT_(x)were 60.35%and 39.27%,respectively.A desirable catalytic stability for 50 h was *** functional theory(DFT)calculations indicated excellent activity of the nitrogen-doped Nb_(2)CT_(x)was attributed to the introduction of *** excellent activity was conducive to the adsorption of oxygen and promoted the formation of the OOH *** work can serve as an important reference for regulating the electronic structure of MXene to expand the application area in the electrochemical field.

关键词： Nb_(2)CT_(x) nitrogen-doped electrocatalysis oxygen reduction reaction hydrogen peroxide

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Investigation of conformational changes of cathepsin B as a feasibility assessment for NaCl reduction in Jinhua ham

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Food science and Human Wellness 2025年第2期14卷 429-438页

作者： Shiqi Hu Guanghong Zhou Xinglian Xu Wangang Zhang Chunbao Li Key Laboratory of Meat Processing and Quality Control Ministry of EducationKey Laboratory of Meat ProcessingMinistry of Agriculture and Rural AffairsJiangsu Synergetic Innovation Center of Meat Processing and Quality ControlCollege of Food Science and TechnologyNanjing Agricultural UniversityNanjing 210095China School of Life Science and Food Engineering Huaiyin Institute of TechnologyHuai’an 223003China

To regulate the sodium chloride content in Jinhua ham,the impact of NaCl on the activity and conformation of cathepsin B was investigated using spectroscopy and computational *** results showed that the activity of cathepsin B decreased with an increase in Na^(+)cation content and ***,decreasedα-helix content and increasedβ-sheet content were *** increase in sulfhydryl group content was attributed to the breaking of original disulfide bonds in the molecular structure or the release of embedded ***,the surface hydrophobicity gradually declined,which was consistent with the analysis of endogenous fluorescence *** the molecular level,the number of hydrogen bonds formed in NaCl-treated samples decreased,and the interactions between the hydrogen bonding were less powerful,which caused instability in the binding of the protein and *** conformation of cathepsin B accurately characterized its activity,and the structural changes had a macroscopic effect on the decrease in protease activity.

关键词： Protein conformation Cathepsin B activity Jinhua ham Molecular docking Molecular dynamics

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A Monocular Biological Simultaneous Localization and Mapping Method Based on a Bionic Vision Model

A Monocular Biological Simultaneous Localization and Mapping...

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2023 International Conference on Frontiers of Robotics and Software engineering, FRSE 2023

作者： Guo, Sitong Zhang, Yu Zhejiang University Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou China

ISBN: (纸本)9798350301113

Animals can navigate robustly through large unknown environments, utilizing inaccurate sensor and egomotion cues. Inspired by the mechanism of the human visual system, this paper presents a biological simultaneous localization and mapping (SLAM) system based on a monocular vision sensor to perform navigation tasks in complex environments. Specifically, our contributions are two folds: an improved monocular visual odometry with a scale recovery algorithm to calibrate the estimated robot pose, and a bionic vision model based on image enhancement algorithm and feature extraction approach to detect closed-loop. Experiments on public datasets demonstrate that our proposed method performs competitively in illumination-varying scenarios indoors and outdoors, which achieve a trade-off to maintain performances in terms of accuracy, execution time, and robustness. © 2023 IEEE.

关键词： Vision

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CuInS2/ZnS QDs-based fluorescent probe for detection of Cu2+

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Progress in Natural science:Materials International 2023年第4期33卷 495-500页

作者： Haiyan Kang Hongchao Geng Sisi Shi Zhongxian Song Yuting Dong Xiaole Yan Chaohai Wang Yanli Mao Qingyun Cai Henan Province Key Laboratory of Water Pollution Control and Rehabilitation Technology Henan University of Urban Construction State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical Engineering Hunan University

High concentrations of Cu2+exceeding what the required level for the cellular process can changes the properties of protein, affects the normal function of the body, but also affect the body's metabolism, so that the body's immunity appears to decline. Detection of Cu2+is important for the environmental monitoring. Here, a fluorescence probe that uses heavy metal-free and properties-superior CuInS2/ZnS was proposed for detection of Cu2+. The fluorescence intensity of CuInS2/ZnS quantum dots（QDs） decreased obviously after Cu2+were added,and the intensity with the concentration of Cu2+showed excellent linear relation within the scope of 0–50 μM, the LOD down to 0.45 μM, a possible detection mechanism was analyzed. The QDs was further applied to the detection of Cu2+in drinking water, manifesting the foreground of the current strategy.

关键词： CuInS2/ZnS QDs Fluorescence probe Detection Cu2+

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One-dimensional hollow porous Ru-CuO nanofibers covered with ZIF-71 for H2S gas sensing and its first-principle study

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稀有金属（英文版） 2025年第2期44卷 1170-1181页

作者： Chang-Kun Qiu Lin Wang Fei An Hao Zhang Qing-Run Li Hao-Zhi Wang Ming-Jun Li Jing-Yu Guo Pei-Lin Jia Zong-Wei Liu Liang Zhu Wei Xu Dong-Zhi Zhang State Key Laboratory of Chemical Safety SINOPEC Research Institute of Safety Engineering Co.Ltd.Qingdao 266104China College of Control Science and Engineering China University of Petroleum(East China)Qingdao 266580China

Based on the unique catalytic properties of precious metals,the introduction of precious metals into metal oxide semiconductors will greatly improve the gas-sensitive properties of *** a new type of porous material,metal-organic frameworks(MOF)can be used for gas separation and adsorption due to their adjustable pore size and acceptable thermal *** this work,the ZIF-71 MOF was synthesizedon CuO nanofibers doped with different concentrations of Ru to form a Ru-CuO@ZIF-71 nanocomposite sensor,which was then used for H2S *** sensor shows sensitivity to trace amounts of H2S gas(100 ppb),and the response is greatly enhanced at the optimal Ru doping ratio and operating *** introduction of the ZIF-71 membrane can significantly increase the selectivity of the sensor while further improving the ***,the possible sensing mechanism of the Ru-CuO@ZIF-71 sensor was *** enhancement of the H2S gas sensing prop-erties may be attributed to the catalysis of Ru and the formation of the Schottky junction at the Ru-CuO ***,the calculation based on density functional theory reveals enhanced adsorption capacities of CuO for H2S after Ru ***,the Ru-CuO@ZIF-71 sensor has strong application potential in exhaled gas detection and portable detection of H2S gas in industrial environments.

关键词： Ru-CuO nanofibers Metal-organic framework Selectivity regulation H2S gas sensor Density functional theory calculations

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Safe Corridor Constrained Trajectory Planning for Formation Flight of Fixed-Wing Unmanned Aerial Vehicles 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Ji, Jialin Peng, Yiyang Zhao, Changchun Xu, Guangtong Xu, Chao Gao, Fei State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Huzhou Institute Zhejiang University Huzhou313000 China Shanghai Aerospace Control Technology Institute Shanghai201109 China

ISBN: (数字)9789819733408

ISBN: (纸本)9789819733392

Autonomous formation flight of fixed-wing unmanned aerial vehicles (UAVs) in confined environments still remains an open problem. To tackle this challenge, this paper proposes a safe corridor constrained trajectory planning method for formation flight. A novel safe corridor construct method is designed to generate collision-free space in narrow passage. Then, the formation keeping constraint is described by using Laplacian matrix, and the similarity deviation between current formation and predefined formation is used as the cost function in the optimization problem. The formation flight trajectory planning problem is formulated via MINCO, a powerful spatial-temporal joint trajectory representation method, to efficiently generate dynamically feasible trajectory for fixed-wing UAVs. Numerical simulations on formation flight scenarios are implemented, and the results validate the effectiveness and efficiency of the safe corridor constrained trajectory planning method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Antennas

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Novel quantitative structure activity relationship models for predicting hexadecane/air partition coefficients of organic compounds

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Journal of Environmental sciences 2023年第2期124卷 98-104页

作者： Ya Wang Weihao Tang Zijun Xiao Wenhao Yang Yue Peng Jingwen Chen Junhua Li State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Key Laboratory of Industrial Ecology and Environmental Engineering(MOE) School of Environmental Science and TechnologyDalian University of TechnologyLinggong Road 2Dalian 116024China

Predicting the logarithm of hexadecane/air partition coefficient(L)for organic compounds is crucial for understanding the environmental behavior and fate of organic compounds and developing prediction models with polyparameter linear free energy ***,two quantitative structure activity relationship(QSAR)models were developed with 1272 L values for the organic compounds by using multiple linear regression(MLR)and support vector machine(SVM)*** the basis of the OECD principles,the goodness of fit,robustness and predictive ability for the developed models were *** SVM model was first developed,and the predictive capability for the SVM model is slightly better than that for the MLR *** applicability domain(AD)of these two models has been extended to include more kinds of emerging pollutants,i.e.,oraganosilicon *** developed QSAR models can be used for predicting L values of various organic *** van derWaals interactions between the organic compound and the hexadecane have a significant effect on the L value of the *** in silico models developed in current study can provide an alternative to experimental method for high-throughput obtaining L values of organic compounds.

关键词： L value Quantitative structure-activity relationship Multiple linear regression Support vector machine Oraganosilicon compounds

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