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International Conference on Autonomous Robots and Agents, ICARA

作者： Masamichi Kosuge Masaki Takahashi School of Science for Open and Environmental Systems Graduate School of Science and Technology Keio University Yokohama Japan Department of System Design Engineering Faculty of Science and Technology Keio University Yokohama Japan

Recently, an alternative pressure mattress has been proposed to prevent pressure ulcers. In this study, we aim to design a control system for body pressure distribution using the mattress. This study focuses on modeling the dynamics between the body pressure distribution and the mattress. As modeling based on first principles is challenging, we identify the model from experimental data. However, when high-dimensional data such as body pressure distribution are directly used for identification, the model accuracy can deteriorate. Therefore, we need to determine the suitable model structure or dataset. Herein, we examined how the prediction accuracy of body pressure distribution varies with the dataset and model structure. We also proposed a method for representing the model as the dynamics of the parameters of the Gaussian Mixture Model to suppress the estimated parameters. To the best of our knowledge, this study is the first to propose the body pressure model as dynamics of the parameters of the Gaussian Mixture Model.

关键词： Automation Shape Predictive models Control systems Approximation error Data models History

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Synthesis Optimization of SSZ-13 Zeolite Membranes by Dual Templates for N_(2)/NO_(2) Separation

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Chemical Research in Chinese Universities 2022年第1期38卷 250-256页

作者： LI Jun RONG Huazhen CHEN Cong LI Ziyi ZUO Jiayu WANG Wenjian LIU Xinjian GUAN Yixing YANG Xiong LIU Yingshu ZOU Xiaoqin ZHU Guangshan School of Energy and Environmental Engineering University of Science and Technology BeijingBeijing 100083P.R.China Faculty of Chemistry Northeast Normal UniversityChangchun 130024P.R.China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610213P.R.China

High-silica SSZ-13 zeolite membranes are promising in industrial separations of light gases and continuous membranes are highly demanded for better separation performances. Herein, pure-phase, continuous and thin SSZ-13 zeolite membranes were synthesized using dual templates of N,N,N-trimethtyl-1-adamantammonium hydroxide(TMAdaOH) and tetraethylammonium hydroxide(TEAOH). systematical investigations of TMAdaOH/TEAOH ratios and their concentrations show that TMAdaOH acts as the main structure-directing agent in the formation of the SSZ-13 zeolite. TMAdaOH cooperatively plays with TEAOH in promoting the SSZ-13 crystal intergrowth to form a continuous polycrystalline membrane. Additionally, appropriate introduction of TEAOH is able to adjust the membrane thickness to the crystal-comparable size of ca. 2.0 μm. The SSZ-13 membranes are further applied for N2/NO2separation, which is firstly reported on zeolite membranes. The gas permeation results show that the SSZ-13 membrane synthesized by the dual-template approach exhibits selective separation of N2 over NO2 with N2/NO2 separation factor of 7.6 and N2 permeance of 1.66×10-8 mol·m-2·s-1·Pa-1.

关键词： Zeolite membrane Dual template SSZ-13 Gas separation Nitrogen dioxide

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Oxidation Mechanism and Toxicity Evolution of Linalool,a Typical Indoor Volatile Chemical Product

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Environment & Health 2024年第7期2卷 486-498页

作者： Zihao Fu Song Guo Ying Yu Hong-Bin Xie Shiyu Li Daqi Lv Putian Zhou Kai Song Zheng Chen Rui Tan Kun Hu Ruizhe Shen Maosheng Yao Min Hu State Key Joint Laboratory of Environmental Simulation and Pollution Control International Joint Laboratory for Regional Pollution ControlMinistry of Education(IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 210044China Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiP.O.Box 64FIN-00014 HelsinkiFinland

Linalool,a high-reactivity volatile chemical product(VCP)commonly found in cleaning products and disinfectants,is increasingly recognized as an emerging contaminant,especially in indoor *** the gas-phase oxidation mechanism of linalool is crucial for assessing its impact on atmospheric chemistry and human *** quantum chemical calculations and computational toxicology simulations,we investigated the atmospheric transformation and toxicity evolution of linalool under low and high NO/HO_(2)·levels,representing indoor and outdoor *** findings reveal that linalool can undergo the novel mechanisms involving concerted peroxy(RO_(2)·)and alkoxy radical(RO·)modulated autoxidation,particularly emphasizing the importance of cyclization reactions *** expands the widely known RO_(2)·-dominated H-shift-driven autoxidation and proposes a generalized autoxidation mechanism that leads to the formation of low-volatility secondary organic aerosol(SOA)*** analysis shows that over half of transformation products(TPs)exhibited higher carcinogenicity and respiratory toxicity compared to *** also propose time-dependent toxic effects of TPs to assess their long-term *** results indicate that the strong indoor emission coupled with slow consumption rates lead to significant health risks under an indoor *** results highlight complex indoor air chemistry and health concerns regarding persistent toxic products during indoor cleaning,which involves the use of linalool or other VCPs.

关键词： volatile chemical products(VCPs) peroxy radicals(RO_(2)·) atmospheric autoxidation secondary organic aerosol(SOA) computational toxicology

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First wetland mapping at 10-m spatial resolution in South America using multi-source and multi-feature remote sensing data

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science China Earth sciences 2024年第10期67卷 3252-3269页

作者： Weiwei SUN Gang YANG Yuling HUANG Dehua MAO Ke HUANG Lin ZHU Xiangchao MENG Tian FENG Chao CHEN Yong GE Department of Geography and Spatial Information Techniques Ningbo UniversityNingbo 315211China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences&Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Natural Resources and Planning Bureau Shanghai Pudong New DistrictShanghai 200100China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China School of Geography Science and Geomatics Engineering Suzhou University of Science and TechnologySuzhou 215009China

Wetland degradation has been accelerating in recent years globally. Accurate information on the geographic distribution and categories of wetlands is essential for their conservation and management. Despite being the world′s fourth largest continent, South America has limited research on wetland mapping, and there is currently no available map that provides comprehensive information on wetland distribution and categories in the region. To address this issue, we used Sentinel-1, Sentinel-2 and SRTM data, developed a sample collection method and a wetland mapping method with a collection of multi-source features such as optical features, polarization features and shape features for South American wetlands. We produced a 10-m resolution wetland map based on the Google Earth Engine(GEE) platform. Our Level-1 wetland cover map accurately captured six wetland sub-categories with an overall accuracy of 96.24% and a kappa coefficient of 0.8649, while our Level-2 water cover map included five sub-categories with an overall accuracy of 97.23% and a kappa coefficient of0.9368. The results show that the total area of existing wetlands in South America is approximately 1,737,000 km~2, which is6.8% of the total land area. Among the ten wetland categories, shallow sea had the largest area(960,527.4 km~2), while aquaculture ponds had the smallest area 1513.6 km~2. Swamp had the second largest area(306,240.1 km~2). Brazil, Argentina,Venezuela, Bolivia, and Colombia were found to have the largest wetland areas, with Brazil and Colombia having the most diverse wetland categories. This product can serve as baseline data for subsequent monitoring, management, and conservation of South American wetlands.

关键词： Wetland mapping Google Earth Engine Sentinel imagery South America

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Runtime-based metaheuristic prediction of the compressive strength of net-zero traditional concrete mixed with BFS, FA, SP considering multiple curing regimes

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Asian Journal of Civil Engineering 2024年第2期25卷 1241-1253页

作者： Onyelowe, Kennedy C. Kontoni, Denise-Penelope N. Pilla, Sita Rama Murty Hanandeh, Shadi Ebid, Ahmed M. Razzaghian Ghadikolaee, Mehrdad Stephen, Liberty U. Department of Civil Engineering Michael Okpara University of Agriculture Umudike Umuahia 440109 Nigeria Department of Civil Engineering School of Engineering University of the Peloponnese Patras 26334 Greece School of Science and Technology Hellenic Open University Patras 26335 Greece Department of Artificial Intelligence and Data Science Vishnu Institute of Technology Andhra Pradesh Vishnupur Bhimavaram India Civil Engineering Department Faculty of Engineering Al-Balqa Applied University Salt Jordan Department of Civil Engineering Faculty of Engineering Future University in Egypt New Cairo Egypt School of Civil Engineering Iran University of Science and Technology Tehran Iran Department of Civil Engineering University of Agriculture and Environmental Sciences Umuagwo Nigeria

Toward carbon neutrality concrete technology (TCNCT) is the main topic in the net-zero construction industry, and designing a net-zero concrete optimized to meet the required near-zero carbon footprint specifications is one of the major goals of ecofriendly concrete technology. Several concrete mix-design methods were developed based on optimizing certain factor such as the unit weight of the concrete or the specific surface area of the aggregates. However, these available mix-design methods are limited to certain types of cement and aggregates while the construction industry today is looking for more advanced, sustainable, and ecofriendly (net-zero) materials such as blast furnace slag (BFS), fly ash (FA), and superplasticizer (SP). The aim of this study is to develop a predictive model for the compressive strength of certain net-zero concrete mixes at different ages considering the previously mentioned “towards carbon neutrality” industrial waste materials using the novel superspeed metaheuristic predictive techniques. A database of 1133 records of net-zero concrete mixes was collected from literature and studied to be used in training and testing the predictive models. The performance metrics used in this exercise are mean absolute error (MAE), mean squared error (MSE), and R ² score. The Automl tools were very handy as they presented the fastest models with the best performances also. The AutoSklearn models were presented for both 5 min and 10 min execution time. At the 5-min limit execution time, a performance of R ² equals 91.8%, with MAE of 3.395% and MSE of 23.224% was achieved in 262 s (4.37 min). At the 10-min set execution time, a performance of R ² equals 92.2%, with MAE of 3.197% and MSE of 22.224% was achieved in 597 s (9.95 min). The AutoGluon (TabularPredictor) was also deployed to model the CCS from the global database of nine features with no set time limits. This was executed in 785 s (13.08 min) and produced a mod

关键词： Blast furnace slag (BFS) Fly ash (FA) Metaheuristic modeling Multiple curing Net-zero concrete compressive strength Superplasticizer (SP) Sustainable concrete

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Health risks and sources of trace elements and black carbon in PM_(2.5)from 2019 to 2021 in Beijing

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Journal of environmental sciences 2024年第8期142卷 69-82页

作者： Chenjie Hua Wei Ma Feixue Zheng Yusheng Zhang Jiali Xie Li Ma Boying Song Chao Yan Hongyan Li Zhen Liu Qian Liu Markku Kulmala Yongchun Liu Aerosol and Haze Laboratory Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029China Institute for Atmospheric and Earth System Research Faculty of ScienceUniversity of HelsinkiHelsinki 00014Finland School of Environment and Safety Taiyuan University of Science and TechnologyTaiyuan 030024China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

A comprehensive health risk assessment of PM_(2.5)is meaningful to understand the current status and directions regarding further improving air quality from the perspective of human *** this study,we evaluated the health risks of PM_(2.5)as well as highly toxic inorganic components,including heavy metals(HMs)and black carbon(BC)based on longterm observations in Beijing from 2019 to *** results showed that the relative risks of chronic obstructive pulmonary disease,lung cancer,acute lower respiratory tract infection,ischemic heart disease,and stroke decreased by 4.07%-9.30%in 2020 and 2.12%-6.70%in2021 compared with ***,they were still at high levels ranging from 1.26 to 1.77,in particular,stroke showed the highest value in *** had the highest hazard quotient(HQ,from 2.18 to 2.56)for adults from 2019 to 2021,while Ni,Cr,Pb,As,and BC showed high carcinogenic risks(CR>1.0×10^(-6))for *** HQ values of Mn and As and the CR values of Pb and As showed constant or slight upwards trends during our observations,which is in contrast to the downward trends of other HMs and PM_(2.5).Mn,Cr,and BC are crucial toxicants in PM_(2.5).A significant shrink of southern region sourcesof HMs and BCshrank suggests the increased importance of local ***,dust,and biomass burning are the major contributors to the non-carcinogenic risks,while traffic emissions and industry are the dominant contributors to the carcinogenic risks in Beijing.

关键词： PM_(2.5) Heavy metals Black carbon Health risk Source apportionment

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Mechanically-assisted crevice corrosion and its effect on materials degradation

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Corrosion Communications 2023年第3期11卷 23-32页

作者： Weichen Xu Binbin Zhang Owen Addison Xiutong Wang Baorong Hou Fei Yu Key Laboratory of Marine Environmental Corrosion and Bio-fouling Institute of Oceanology Chinese Academy of Sciences Institute of Marine Corrosion Protection Guangxi Academy of Sciences Open Studio for Marine Corrosion and Protection Pilot National Laboratory for Marine Science and Technology Centre for Oral Clinical Translational Science Faculty of Dentistry Oral and Craniofacial Sciences King's College London School of Basic Medicine Qingdao Medical College Qingdao University

Mechanically-assisted crevice corrosion(MACC) is a synergistic combination of wear and crevice corrosion. The major differences between tribocorrosion, fretting corrosion and MACC relate to the relative scale of motion and contact area, are clarified in this work. Experimental testing methods for MACC and design of simulation apparatuses are compared and discussed. MACC associated with biomedical alloys used as orthopedic implants, screws, and dental implants has been the subject of most recent research regarding this corrosion mechanism. However, there are also many engineering structures where the pre-requisite conditions for MACC are met but have to date received less scientific scrutiny. Examples are tubes and supportive bars/plates constructions, bolt-type structures and rail track foot covered by fastening systems. Reasonable selection of fretting-resistant materials, proper mounting methods and development of lubricating coating and oil/grease would be effective for mitigating MACC, and it is proposed that surface modification regarding contact geometries and surface compliances may have future promise.

关键词： Mechanically-assisted crevice corrosion Fretting corrosion Wear Tribology Mitigation

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Consistency Guaranteed Multi Container Migration for Smart Community Network Services

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and systems 2021年第12期141卷 1453-1461页

作者： Abeysiriwardhana, W.A.P. Shanaka Morishima, Ryo Miura, Tatsuki Nishi, Hiroaki School of Science for Open and Environmental Systems Keio University Faculty of Science and Technology Yagami Campus 3-14-1 Hiyoshi Kohoku-ku Kanagawa Yokohama223-8522 Japan Department of System Design Engineering Keio University Faculty of Science and Technology Yagami Campus 3-14-1 Hiyoshi Kohoku-ku Kanagawa Yokohama223-8522 Japan

Smart Community (SC) uses IoT sensors to provide smart grid control, traffic management, and similar IoT services. These services expect to run at the network edge or fog layer to provide low latency network services, encapsulate citizens' private information, support low-cost IoT terminals from cyber-attacks, and support other cutting-edge fog and edge services. SC edge is a service platform that supports edge/fog services for IoT terminals by using Docker containers. Initially, SC edge/fog computing nodes did not support the function of service migration. However, service migration is necessary to support remote deployment and service distribution in SC networks. The existing container migration techniques focus mainly on resource utilization. However, SC services should handle loss-free data stream processing and order-preservation of network packets to gather IoT sensor data after migration. In addition, SC services require one-to-many migration to support high throughput loads when required. Therefore, this paper focuses on enhancing SC service flexibility by introducing migration for relocatable and network consistency guaranteed containerized services. SC edge proposes multiple container migration techniques that are suitable for network services. The proposed techniques can improve resource consumption, guarantee network traffic consistency, and apply one-to-many migration patterns. Layer leveraging migration (LLM) reduces the overall migration time by 10.8% for an elastic search Docker container than available Docker migration methods. Additionally, consistency guaranteed migration (CGM) is proposed to guarantee network consistency. However, CGM consumes additional resources compared to LLM for IoT data management. Finally, One to N Consistency Guaranteed Migration (O2NCGM) is proposed to support one-to-many migration with data consistency that shows similar performance to CGM. © 2021 The Institute of Electrical Engineers of Japan.

关键词： Containers

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Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks

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National science Review 2022年第4期9卷 33-40页

作者： Bin He Chen Chen Shangrong Lin Wenping Yuan Hans W.Chen Deliang Chen Yafeng Zhang Lanlan Guo Xiang Zhao Xuebang Liu Shilong Piao Ziqian Zhong Rui Wang Rui Tang State Key Laboratory of Earth Surface Processes and Resource Ecology College of Global Change and Earth System ScienceBeijing Normal University Department of Application Research Twenty First Century Aerospace Technology Co.Ltd. School of Atmospheric Sciences Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)Sun Yat-sen University Department of Physical Geography and Ecosystem Science Lund University Regional Climate Group Department of Earth SciencesUniversity of Gothenburg Academy of Disaster Reduction and Emergency Management School of GeographyBeijing Normal University State Key Laboratory of Remote Sensing Science Faculty of Geographical ScienceBeijing Normal University Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking University

Interannual variability of the terrestrial ecosystem carbon sink is substantially regulated by various environmental variables and highly dominates the interannual variation of atmospheric carbon dioxide（CO2） ***,it is necessary to determine dominating factors affecting the interannual variability of the carbon sink to improve our capability of predicting future terrestrial carbon *** global datasets derived from machine-learning methods and process-based ecosystem models,this study reveals that the inter annual variability of the atmospheric vapor pressure deficit（VPD） was significantly negatively correlated with net ecosystem production（NEP） and substantially impacted the inter annual variability of the atmospheric CO2growth rate（CGR）.Further analyses found widespread constraints of VPD interannual variability on terrestrial gross primary production（GPP）,causing VPD to impact NEP and *** correlation analysis confirms the persistent and widespread impacts of VPD on terrestrial carbon sinks compared to other environmental *** Earth system models underestimate the interannual variability in VPD and its impacts on GPP and *** results highlight the importance of VPD for terrestrial carbon sinks in assessing ecosystems' responses to future climate conditions.

关键词： vapor pressure deficit net ecosystem production gross vegetation production carbon dioxide concentration

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Multiple layers of regulators emerge in the network controlling lateral root organogenesis

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Trends in Plant science 2024年第5期30卷 499-514页

作者： Beckers, Antoine Mamiya, Akihito Furutani, Masahiko Bennett, Malcolm J. Fukaki, Hidehiro Sawa, Shinichiro Gantet, Pascal Laplaze, Laurent DIADE Université de Montpellier Institut de Recherche pour le Développement Centre de Coopération Internationale en Recherche Agronomique pour le Développement Montpellier France Department of Biology Graduate School of Science Kobe University Kobe Japan Department of Earth System Science Faculty of Science Fukuoka University Fukuoka Japan Institute of Industrial Nanomaterial (IINA) Kumamoto University Kumamoto Japan International Research Organization for Advanced Science and Technology (IROAST) Kumamoto University Kumamoto Japan School of Biosciences University of Nottingham Sutton Bonington United Kingdom International Research Center for Agricultural and Environmental Biology (IRCAEB) Kumamoto University Kumamoto Japan Graduate School of Science and Technology Kumamoto University Kumamoto Japan

Lateral root (LR) formation is a postembryonic organogenesis process that is crucial for plant root system development and adaptation to heterogenous soil environments. Since the early 1990s, a wealth of experimental data on arabidopsis (Arabidopsis thaliana) has helped reveal the LR formation regulatory network, in which dynamic auxin distribution and transcriptional cascades direct root cells through their organogenesis pathway. Some parts of this network appear conserved across diverse plant species or distinct developmental contexts. Recently, our knowledge of this process dramatically expanded thanks to technical advances, from single cell profiling to whole-root system phenotyping. Interestingly, new players are now emerging in this network, such as fatty acids and reactive oxygen species (ROS), transforming our knowledge of this hidden half of plant biology. © 2024 Elsevier Ltd

关键词： development lateral root regulatory network

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