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The effect of thickness of cathode active material layer on separation of cathode materials in Lithium-ion batteries using electrical pulsed discharge

The effect of thickness of cathode active material layer on ...

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Pulsed Power Conference, International Conference on High-Power Particle Beams and International Symposium on Electromagnetic Launch technology (EAPPC/BEAMS/EML), Euro-Asian

作者： Moe Nakahara Taketoshi Koita Shinichi Higuchi Asako Narita Yusei Onithuka Ryosuke Honda Takao Namihira Chiharu Tokoro Graduate School of Creative Science and Engineering Waseda University Tokyo Japan Faculty of Science and Engineering Waseda University Tokyo Japan Sustainable Energy and Environmental Society Open Innovation Research tOrganization Waseda University Tokyo Japan Graduate School of Science and Technology Kumamoto University Kumamoto Japan Industrial Nanomaterials Kumamoto University Kumamoto Japan Faculty of Science and Engineering Waseda University and Faculty of Engineering The University of Tokyo Tokyo Japan

ISBN: (数字)9789038661353

ISBN: (纸本)9798350352733

The demand of lithium-ion batteries (LiBs) is increasing due to the widespread use of electric vehicles. The technology to separate and recover critical metals contained in the positive electrode active material (PEAM) from spent-LiBs is necessary. In the previous study, PEAM layer was separated from the cathode sheet by Joule heating using pulsed discharge. The object of this study is to clarify the effect of thickness of active material layer on separation of positive electrode in LiBs using the pulsed discharge. When the pulsed discharge was conducted in the conditions with a capacitance of 6.4 µF and charging voltage of 10.6 kV, the cathodes with PEAM layers that thickness of 40 and 60 µm were separated. The cathode with PEAM layer of 25 µm thickness was not separated in the conditions. The simulation results suggested that the thermal stress induced by the temperature distribution inside PEAM layer caused the separation.

关键词： Lithium-ion batteries Temperature distribution Particle beams Simulation Voltage Discharges (electric) Separation processes Thermal stresses Stress Cathodes

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Predicting influenza-like illness trends based on sentinel surveillance data in China from 2011 to 2019:A modelling and comparative study

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Infectious Disease Modelling 2024年第3期9卷 816-827页

作者： Xingxing Zhang Liuyang Yang Teng Chen Qing Wang Jin Yang Ting Zhang Jiao Yang Hongqing Zhao Shengjie Lai Luzhao Feng Weizhong Yang School of Population Medicine and Public Health Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing100073China State Key Laboratory of Respiratory Health and Multimorbidity China Key Laboratory of Pathogen Infection Prevention and Control(Peking Union Medical College) Ministry of EducationChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionChina Department of Management Science and Information System Faculty of Management and EconomicsKunming University of Science and TechnologyKunming650506China Department of Applied Mathematics&Statistics Stony Brook UniversityStony BrookNY11794-3600USA WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthamptonSO171BJUK

Background Influenza is an acute respiratory infectious disease with a significant global disease ***,the coronavirus disease 2019 pandemic and its related non-pharmaceutical interventions(NPIs)have introduced uncertainty to the spread of ***,comparative studies on the performance of innovative models and approaches used for influenza prediction are ***,this study aimed to predict the trend of influenza-like illness(ILI)in settings with diverse climate characteristics in China based on sentinel surveillance data using three approaches and evaluate and compare their predictive *** The generalized additive model(GAM),deep learning hybrid model based on Gate Recurrent Unit(GRU),and autoregressive moving average-generalized autoregressive conditional heteroscedasticity(ARMA—GARCH)model were established to predict the trends of ILI 1-,2-,3-,and 4-week-ahead in Beijing,Tianjin,Shanxi,Hubei,Chongqing,Guangdong,Hainan,and the Hong Kong Special Administrative Region in China,based on sentinel surveillance data from 2011 to *** relevant metrics,namely,Mean Absolute Percentage Error(MAPE),Root Mean Squared Error(RMSE),and R squared,were calculated to evaluate and compare the goodness of fit and robustness of the three *** Considering the MAPE,RMSE,and R squared values,the ARMA—GARCH model performed best,while the GRU-based deep learning hybrid model exhibited moderate performance and GAM made predictions with the least accuracy in the eight settings in ***,the models’predictive performance declined as the weeks ahead ***,blocked cross-validation indicated that all models were robust to changes in data and had low risks of *** Our study suggested that the ARMA—GARCH model exhibited the best accuracy in predicting ILI trends in China compared to the GAM and GRU-based deep learning hybrid ***,in the future,the ARMA—GARCH model may be used

关键词： Influenza-like illness Influenza Sentinel surveillance China Predicting Modeling

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Remote Sensing Time Series Analysis:A Review of Data and Applications

Journal of Remote Sensing

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Journal of Remote Sensing 2024年第1期4卷 34-66页

作者： Yingchun Fu Zhe Zhu Liangyun Liu Wenfeng Zhan Tao He Huanfeng Shen Jun Zhao Yongxue Liu Hongsheng Zhang Zihan Liu Yufei Xue Zurui Ao School of Geography South China Normal UniversityGuangzhouGuangdong 510631China Department of Natural Resources and the Environment University of ConnecticutStorrsCT 06269USA Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjingJiangsu 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application NanjingJiangsu 210023China Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere School of Remote Sensing and Information EngineeringWuhan UniversityWuhan 430079China School of Resource and Environmental Sciences Wuhan UniversityWuhanHubei 430079China School of Marine Sciences Sun Yat-sen UniversityZhuhaiGuangdong 519082China School of Geography and Ocean Science Nanjing UniversityNanjingJiangsu 210023China Department of Geography The University of Hong KongPokfulamHong KongChina School of Artificial Intelligence Anhui UniversityHefeiAnhui 230601China Beidou Research Institute Faculty of EngineeringSouth China Normal UniversityGuangzhou 510631China

Remote sensing time series research and applications are advancing rapidly in land,ocean,and atmosphere science,demonstrating emerging capabilities in space-based monitoring methodologies and diverse application *** prompts a comprehensive review of remote sensing time series observations,time series data reconstruction,derived products,and the current progress,challenges,and future directions in their *** high-frequency new data,i.e.,a constellation strategy,increasing computing power and advancing deep learning algorithms,are driving a paradigm shift from traditional point-in-time mapping to near-real-time monitoring tasks,and even to modeling integration of parameter inversion and prediction in land,water,and air ***,the 3 main projects,namely,the Global Climate Observing system,the United States Geological Survey/National Aeronautics and Space Administration(USGS/NASA)Landsat science team,and the China Global Land Surface Satellite(GLASS)team,along with other time series-derived products,have found widespread applications in the research of Earth’s radiation balance and human-land *** have also been utilized for tasks such as land use change detection,assessing coastal effects,ocean environment monitoring,and supporting carbon neutrality ***,the 3 critical challenges and future directions were highlighted including multimode time series data fusion,deep learning modeling for task-specific domain adaptation,and fine-scale remote sensing applications by using dense time *** review distills historical and current developments spanning the last several decades,providing an insightful understanding into the advancements in remote sensing time series data and applications.

关键词： time series analysis ocean science constellation strategyincreasing computing power land science derived products data reconstruction remote sensing series data reconstructionderived

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Deactivating Effect of Hydroxyl Radicals Reactivity by Sulfate and Sulfite Functional Groups in Aqueous Phase─Atmospheric Implications for Small Organosulfur Compounds

ACS ES&T Air

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ACS ES&T Air 2024年第7期1卷 678-689页

作者： Donger Lai Thomas Schaefer Yimu Zhang Yong Jie Li Sinan Xing Hartmut Herrmann Man Nin Chan Earth System Science Programme Faculty of Science The Chinese University of Hong Kong Hong Kong P. R. China Atmospheric Chemistry Department (ACD) Leibniz-Institute for Tropospheric Research (TROPOS) Leipzig 04318 Germany Department of Civil and Environmental Engineering Department of Ocean Science and Technology and Centre for Regional Oceans Faculty of Science and Technology University of Macau Taipa 999078 Macau SAR P. R. China School of Environmental Science and Engineering Shandong University Qingdao 266237 P. R. China The Institute of Environment Energy and Sustainability The Chinese University of Hong Kong Hong Kong P. R. China

Aqueous-phase oxidation of organosulfur compounds initiated by•OH radicals could be an important transformation pathway and can play a significant role in the atmospheric abundance and fate of these compounds. Here, we measured the temperature-dependent kinetics of•OH reactions with five C1and C2organosulfur compounds (two alkyl sulfates, methyl sulfate (MS) and ethyl sulfate (ES), and three sulfonates, methanesulfonate (MSA), hydroxymethanesulfonate (HMS), and 2-hydroxyethylsulfonate (HES)) in aqueous phase using laser photolysis-long path absorption (LP-LPA) and competition kinetics methods. The rate constants ranged from 106to 108L mol–1s–1and exhibited a clear positive temperature (T) dependence over a temperature range of 278 to 318 K. Furthermore, the two sulfur-containing groups, sulfate (−OSO3–) group for alkyl sulfates and sulfite (−SO3−) group for sulfonates, exhibit strong deactivating effect on the kinetics. This could be explained by the strong electron-withdrawing nature of the −OSO3–and −SO3–groups, which lowers the hydrogen abstraction rates during•OH oxidation. Overall, this study demonstrates that the oxidation of small alkyl sulfates and sulfonates by•OH radical in aqueous phase is significantly modulated by the presence of the sulfur functional groups. The deactivating effect of sulfur functional groups sheds light on predicting the lifetimes of other organosulfur compounds in the *** presence of two sulfur functional groups (−OSO3−and −SO3−groups) was found to have a deactivating effect on reaction kinetics during the aqueous-phase oxidation of organosulfur compounds by•OH.

关键词： Alkyls Anions Functional groups Show More

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A Bibliometric and Social Media Analysis of the Nexus Between Blockchain technology and Finance 2nd

A Bibliometric and Social Media Analysis of the Nexus Betwee...

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2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024

作者： Ayodele, Olamide Emmanuel Ajibade, Temiloluwa Iyanuoluwa Oyebode, Oluwadare Joshua Akintoye, Kayode Akinlekan Ajayi, Babatunde Adedotun Adediran, Anthonia Oluwatosin Ajibade, Samuel-Soma M. Majeed, Anwar P. P. Abdul Luo, Yang Department of Banking and Finance Ekiti State University Ekiti State Ado Ekiti Nigeria Department of Business Management Scholar School System Birmingham United Kingdom Civil and Environmental Engineering Afe Babalola University Ekiti State Ado Ekiti Nigeria Department of Computer Science The Federal Polytechnic Ekiti State Ado Ekiti Nigeria Department of Cyber Security Faculty of Computing and Informatics Ladoke Akintola University of Technology Ogbomoso Nigeria Department of Real Estate Faculty of Built Environment Universiti Malaya KL Kuala Lumpur Malaysia Department of Data Science and Artificial Intelligence Faculty of Engineering and Technology Sunway University Selangor Malaysia Department of Computer Engineering Istanbul Ticaret University Istanbul Turkey Suzhou Taicang215400 China

ISBN: (纸本)9789819639489

This study explores Blockchain technology in the global financial industry using trends analysis, bibliometric analysis, and a literature appraisal using Elsevier Scopus data from 2016 to 2023. The Blockchain in Finance (BCF) study produced 185 publications: 53.5% papers, 45.4% conference proceedings, and 1.1% reviews. Analysis of the subject area revealed three important Computer science, Engineering, and Decision sciences articles. However, source title analysis showed that ACM International Conference Proceeding Series, Sustainability Switzerland, and E3S Web of Conferences publish BCF research most often. According to the stakeholders study, Jon M. Truby and Qatar University (Qatar) are the top BCFin researchers and affiliations with 4% and % publications, respectively. China produces the most research on the topic. Due to active support from funding sources like the Chinese National Natural science Foundation (NNSF), 18 publications have been funded. Co-occurrence of keywords The investigation indicated that BCFin’s top keywords include Blockchain, Finance, and Supply Chain Finance. Three clusters with 4–8 keywords, 132 linkages, and 866 TLS were found via cluster analysis. Keywords classify the clusters as Integrated Business Solutions (Cluster 1), Digital Commerce Infrastructure (Cluster 2), and Decentralized Financial Network (Cluster 3). The findings indicate that BCFin is a dynamic and influential multidisciplinary study field. BCFin has transformed the global financial sector by improving trust, transaction security, and communication. It still struggles with interoperability, system integration, and sustainability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Decentralized finance

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A new proposal for environmental accounting of Japanese municipality with the framework of endpoint-type lcia method "lime2": Calculation of environmental conservation effects in yokohama city from 2000 to 2015

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Journal of environmental Engineering (Japan) 2020年第769期85卷 225-235页

作者： Yamasaki, Junya Ikaga, Toshiharu Itsubo, Norihiro Graduate School of Science and Technology Keio Univ. Japan Faculty of Science and Technology Dept. of System Design Engineering Keio Univ. Japan Faculty of Environmental Studies Dept. of Environmental Management Tokyo City Univ. Japan

With a focus on Japanese municipalities, this study proposes a unified methodology based on the endpoint-type LCIA method LIME2 for calculating the effects of environmental conservation, which is one item used by administrative divisions in Japan for environmental accounting. The proposed methodology integrates the assessment theory of LIME2 with the basic tenets of the environmental Accounting Guidelines 2005, and furthermore contributes unique ideas on interpreting the assessment results. When the methodology was applied to the city of Yokohama, the environmental conservation effect for the 15-year period from 2000 to 2015 was calculated in monetary terms as -1.07 billion yen. © 2020 Architectural Institute of Japan. All rights reserved.

关键词： Lime

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Annual environmental impact assessment of administrative divisions in 42 countries within the framework of global-scale LCIA method "LIME3"

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Journal of environmental Engineering (Japan) 2020年第767期85卷 67-77页

This study attempted to comprehensively measure annual environmental loads emitted in administrative divisions of 42 countries, most of which are OECD members, in the year 2015 using the LCIA method LIME3. Using statistical information that was reliable, verifiable, and comparable, the total environmental damage amount for the 42 countries was calculated to be 5.22 trillion USD. The top three amounts for each impact category were land use, water consumption, and forest resource consumption. These damage amounts were placed on a world map to visualize tendencies related to population distribution and industrial activity. © 2020 Architectural Institute of Japan. All rights reserved.

关键词： Land use

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The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents

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National science Review 2021年第3期8卷 140-150页

作者： Hao Wu Zhanqing Li Hanqing Li Kun Luo Yuying Wang Peng Yan Fei Hu Fang Zhang Yele Sun Dongjie Shang Chunsheng Liang Dongmei Zhang Jing Wei Tong Wu Xiaoai Jin Xinxin Fan Maureen Cribb Marc L.Fischer Markku Kulmala Tuukka Pet?j? State Key Laboratory of Remote Sensing Science College of Global Change and Earth System ScienceBeijing Normal University ESSIC and Department of Atmospheric Science University of MarylandCollege Park State Key Laboratory of Clean Energy Utilization Zhejiang University School of Atmospheric Physics Nanjing University of Information Science and Technology Meteorological Observation Center China Meteorological Administration State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Lawrence Berkeley National Laboratory Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of Helsinki Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric Sciences Nanjing University

A new mechanism of new particle formation(NPF) is investigated using comprehensive measurements of aerosol physicochemical quantities and meteorological variables made in three continents,including Beijing,China;the Southern Great Plains site in the USA;and SMEAR Ⅱ Station in Hyytiala,Finland.D espite the considerably different emissions of chemical species among the sites,a common relationship was found between the characteristics of NPF and the stability *** stability parameter(ζ=Z/L,where Z is the height above ground and L is the Monin-Obukhov length) is found to play an important role;it drops significantly before NPF as the atmosphere becomes more unstable,which may serve as an indicator of nucleation *** the atmosphere becomes unstable,the NPF duration is closely related to the tendency for turbulence development,which influences the evolution of the condensation ***,the unstable atmosphere may dilute pre-existing particles,effectively reducing the condensation sink,especially at coarse mode to foster *** new mechanism is confirmed by model simulations using a molecular dynamic model that mimics the impact of turbulence development on nucleation by inducing and intensifying homogeneous nucleation events.

关键词： new particle formation turbulence development molecular dynamic

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Interaction of soil microbial communities and phosphorus fractions under long-term fertilization in paddy soil

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Journal of Integrative Agriculture 2022年第7期21卷 2134-2144页

作者： Muhammad QASWAR Waqas AHMED HUANG Jing LIU Kai-lou ZHANG Lu HAN Tian-fu DU Jiang-xue Sehrish ALI Hafeez UR-RAHIM HUANG Qing-hai ZHANG Hui-min National Engineering Laboratory for Improving Quality of Arable Land/lnstitute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesBeijing 100081P.R.China Department of Environment Faculty of Bioscience EngineeringGhent UniversityGhent 9000Belgium Guangdong Provincial Key Laboratory for Radionuclides Pollution Control and Resources School of Environmental Science and EngineeringGuangzhou UniversityGuangzhou 510006P.R.China National Observation Station of Qiyang Agri-ecology System/lnstitute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural SciencesQiyang 426182P.R.China National Engineering and Technology Research Center for Red Soil Improvement/Jiangxi Institute of Red Soil Nanchang 331717P.R.China Key Laboratory of Industrial Ecology and Environmental Engineering Ministry of Education/School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024P.R.China

Understanding the impact of biological activities on the soil phosphorus(P)distribution under long-term fertilizer application can facilitate better soil P fertility ***,the primary objectives of this study were to investigate the effect of long-term(since 1981)fertilizer application on the soil P fractions and microbial community and to evaluate correlations between the microbial community structure and P *** following treatments were implemented in a long-term field trial:no fertilization(CK),inorganic N and K(NK),inorganic P and K(PK),inorganic N,P and K(NPK)and manure+NPK(MNPK)*** study showed that the soil pH,soil organic carbon and total and available N and P concentrations were considerably higher in the MNPK treatment than in the CK *** soil microbial biomass C,N and P concentrations were also significantly higher in the MNPK treatment than in the CK *** fertilization treatments,theβ-1,4-glucosidase,α-1,4-glucosidase,urease,acid phosphatase and phosphodiesterase activities were the highest in the MNPK *** to inorganic fertilization,the MNPK treatment increased the labile soil P fractions and decreased the residual soil P *** fertilization significantly affected the soil microbial *** total phospholipid fatty acid(PLFA)concentrations in the NK,PK,NPK and MNPK treatments were 23.3,43.1,48.7 and 87.7%higher,respectively,than in the CK treatment.A significant correlation was observed between the microbial community and soil P ***,the aggregated boosted tree(ABT)model showed that among the various soil biochemical properties,the total PLFA concentration was the factor that most influenced the active P pool,accounting for 35.4%of the relative influence of all soil biochemical properties *** findings reveal that combined manure and inorganic fertilizer application is a better approach than applying inorganic fertilizer alone fo

关键词： enzyme activities long-term fertilization microbial community microbial biomass phosphorus fraction

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Eco-efficiency assessment by industry for japanese municipalities nationwide based on gross regional product and environmental damage

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Journal of environmental Engineering (Japan) 2020年第776期85卷 745-755页

作者： Yamasaki, Junya Ikaga, Toshiharu Itsubo, Norihiro School of Engineering Univ. of Tokyo Faculty of Science and Technology Dept. of System Design Engineering Keio Univ. Faculty of Environmental Studies Dept. of Environmental Management Tokyo City Univ.

In this study, eco-efficiency assessment by industry was conducted uniformly for all Japanese municipalities based on indicators of both economic value and environmental load. For these, the respective indicators were gross regional product and amount of environmental damage calculated by the endpoint-type life cycle impact assessment method "LIME2." Based on reliable, verifiable, and comparable statistical information, eco-efficiency was calculated to be 69.8 for all industries throughout Japan in 2015. The assessment results of all municipalities were placed on a map to visualize the regionality of eco-efficiency, which revealed industry trends nationwide. © 2020 Architectural Institute of Japan. All rights reserved.

关键词： environmental impact assessments

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