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6th International Conference on Information Management and Technology, ICIMTech 2021

作者： Purnomo, Agung Septianto, Andre Rosyidah, Elsa Ramadhani, Mirza Perdana, Mochamad Dafa Bina Nusantara University BINUS Business School Undergraduate Program Entrepreneurship Department Jakarta11480 Indonesia Universitas Nahdlatul Ulama Sidoarjo Institute for Research and Community Services Sidoarjo61218 Indonesia Universitas Nahdlatul Ulama Sidoarjo Environmental Engineering Department Sidoarjo61218 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781665449373

Research on digital innovation with an entrepreneurial spirit continues to develop but is limited to one country and/or one field. From a bibliometric review, this study purpose to visually study mapping and research trends in the field of digital innovation on an international scale. This study used bibliometric techniques with secondary data from Scopus. Analyze and visualize data using the VOSViewer program and the analyze search results function on Scopus. This study analyzed 821 academic documents published from 1983 to 2019. According to the research, the Universitetet I Oslo and Henfridsson, O. had the most active affiliated institutions and individual scientists in digital innovation research. Computer science was the most studied of digital innovation. Based on the identification of a collection of knowledge accumulated from over thirty-six years of publication, this research proposes a grouping of digital innovation research themes: Health Care, Internet of Things, Conceptual Framework, Open System, Digital Platforms, Education, abbreviated as HICODE research themes. © 2021 IEEE.

关键词： Mapping

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Tailoring Molecular Interaction in Heteronetwork Polymer Electrolytes for Stretchable, High-Voltage Fiber Supercapacitors

SSRN

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SSRN 2022年

作者： Handayani, Puji Lestari Kim, Taehoon Song, Yeon Hwa Park, Jae Seo Yang, Seung Jae Choi, U. Hyeok Department of Polymer Science and Engineering and Program in Environmental and Polymer Engineering Inha University Incheon22212 Korea Republic of Changwon51508 Korea Republic of Department of Polymer Engineering Pukyong National University Busan48513 Korea Republic of Department of Chemistry and Chemical Engineering Education and Research Center for Smart Energy and Materials Inha University Incheon22212 Korea Republic of

Mechanically and electrochemically stable all-solid-state supercapacitors are of great interest in the field of wearable and portable electronic devices. However, when conventional liquid or gel electrolytes are used in supercapacitors, their discontinuous functions appear in harsh external environments. Here, we prepare freeze-tolerant heteronetwork nanohybrid polymer electrolytes (NPEs), composed of hydrophilic poly(lithium acrylate) (PLiA) containing mobile lithium countercations and mechanically robust silica nanoparticles (SNs) serving as stress buffers, via sol-gel reaction and radical polymerization. The combination of PLiA and SN provides NPE (PLiA-SN) with high room temperature ionic conductivity, remaining 100% even after 700% elongation, as well as exhibiting high ionic conductivity at low temperatures. The cross-linking of SNs with PLiA also gives the resultant NPE superelasticity and self-healing property. The optimized NPE is assembled with metal-organic framework derived carbon-coated CNTY hybrid electrodes to fabricate high-performance all-solid-state fiber supercapacitors (FSCs). The assembled FSC delivers a high specific capacitance, high power and energy densities, as well as a wide operating voltage window. Moreover, the electrochemical performance of the FSC is maintained under varying stretching strains and degrees of bending, and still retains capacity even at a low temperature, demonstrating excellent mechanical, thermal, and electrochemical stability. © 2022, The Authors. All rights reserved.

关键词： Supercapacitor

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Variability and trends of near-surface wind speed over the Tibetan Plateau:The role played by the westerly and Asian monsoon

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Advances in Climate Change Research 2024年第3期15卷 525-536页

作者： Gang-Feng ZHANG Cesar AZORIN-MOLINA Deliang CHEN Tim RMCVICAR Jose AGUIJARRO Kai-Qiang DENG Lorenzo MINOLA Jaeyeon LEE Seok-Woo SON Heng MA Pei-Jun SHI State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijing 100875China Engineering Center of Desertification and Blown-Sand Control of Ministry of Education Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education Beijing Normal UniversityBeijing 100875China Centro de Investigaciones Sobre Desertificaci'on Consejo Superior de Investigaciones Cientı'ficas(CIDECSIC-UV-Generalitat alenciana)ClimateAtmosphere and Ocean Laboratory(Climatoc-Lab)Moncada 46113Spain Regional Climate Group Department of Earth SciencesUniversity of GothenburgGothenburg 40530Sweden CSIRO Environment CanberraACT 2600Australia Australian Research Council Centre of Excellence for Climate Extremes CanberraACT 2600Australia State Meteorological Agency Balearic Islands OfficePalma de Mallorca 07015Spain School of Atmospheric Sciences Sun Yat-sen UniversityZhuhai 519082China Interuniversity Department of Regional and Urban Studies and Planning(DIST) Politecnico and University of TurinTurin 10125Italy School of Earth and Environmental Sciences Seoul National UniversitySeoul 08826South Korea Atmospheric and Oceanic Sciences Program Princeton UniversityPrinceton NJ 08544USA Geophysical Fluid Dynamics Laboratory NOAAPrinceton NJ 08544USA

Near-surface wind speed exerts profound impacts on many environmental issues,while the long-term(≥60 years)trend and multidecadal variability in the wind speed and its underlying causes in global high-elevation and mountainous areas(e.g.,Tibetan Plateau)remain largely ***,by examining homogenized wind speed data from 104 meteorological stations over the Tibetan Plateau for 1961-2020 and ERA5 reanalysis datasets,we investigated the variability and long-term trend in the near-surface wind speed and revealed the role played by the westerly and Asian *** results show that the homogenized annual wind speed displays a decreasing trend(-0.091 m s^(−1)per decade,p<0.05),with the strongest in spring(-0.131 m s^(−1)per decade,p<0.05),and the weakest in autumn(-0.071 m s^(−1)per decade,p<0.05).There is a distinct multidecadal variability of wind speed,which manifested in an prominent increase in 1961-1970,a sustained decrease in 1970-2002,and a consistent increase in *** observed decadal variations are likely linked to large-scale atmospheric circulation,and the correlation analysis unveiled a more important role of westerly and East Asian winter monsoon in modulating near-surface wind changes over the Tibetan *** potential physical processes associated with westerly and Asian monsoon changes are in concordance with wind speed change,in terms of overall weakened horizontal air flow(i.e.,geostrophic wind speed),declined vertical thermal and dynamic momentum transfer(i.e.,atmospheric stratification thermal instability and vertical wind shear),and varied Tibetan Plateau *** indicates that to varying degrees these processes may have contributed to the changes in near-surface wind speed over the Tibetan *** study has implications for wind power production and soil wind erosion prevention in the Tibetan Plateau.

关键词： Tibetan Plateau Wind speed Decadal change Atmospheric circulation Physical processes

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Developing a Framework for an Interdisciplinary and International Climate Intervention Strategies Research program

Developing a Framework for an Interdisciplinary and Internat...

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作者： Tilmes, Simone Smith, Andrea Lawrence, Peter Barnes, Tim Gadikota, Greeshma Grabowski, Wojciech MacMartin, Douglas G. Medeiros, Brian Morrison, Monica Prein, Andreas Rasmussen, Roy Rosenlof, Karen Rothman, Dale S. Seimon, Anton Shrestha, Gyami Stephens, Britton B. Atmospheric Chemistry Observations and Modeling Laboratory National Center for Atmospheric Research BoulderCO United States COMET Program University Corporation for Atmospheric Research BoulderCO United States Climate and Global Dynamics Laboratory National Center for Atmospheric Research BoulderCO United States Center for Science Education University Corporation for Atmospheric Research BoulderCO United States School of Civil and Environmental Engineering Cornell University IthacaNY United States Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research BoulderCO United States Mechanical and Aerospace Engineering Cornell University IthacaNY United States Research Application Laboratory National Center for Atmospheric Research BoulderCO United States Chemical Sciences Laboratory National Oceanic and Atmospheric Administration BoulderCO United States College of Science George Mason University FairfaxVA United States Center for Environmental Policy Bard College Annandale-on-Hudson NY United States U.S. Carbon Cycle Science Program U.S. Global Change Research Program UCAR WashingtonDC United States Earth Observing Laboratory National Center for Atmospheric Research BoulderCO United States

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High‑Performance Thick Cathode Based on Polyhydroxyalkanoate Binder for Li Metal Batteries

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Advanced Fiber Materials 2024年第1期6卷 214-228页

作者： Dong Hyuk Kang Minhyuck Park Jeonghun Lee Chan Yeol Kim Jimin Park Youn‑Ki Lee Jong Chan Hyun Son Ha Jin Hwan Kwak Juhee Yoon Hyemin Kim Hyun Soo Kim Do Hyun Kim Sangmin Kim Ji Yong Park Robin Jang Seung Jae Yang Hee‑Dae Lim Se Youn Cho Hyoung‑Joon Jin Seungjin Lee Yunil Hwang Young Soo Yun KU‑KIST Graduate School of Converging Science and Technology Korea University145 Anam‑roSeongbuk‑guSeoul 02841South Korea Carbon Composite Materials Research Center Korea Institute of Science and Technology(KIST)92 Chundong‑roBongdong‑eupWanju‑gunJeollabuk‑do 55324South Korea Energy Storage Research Center Korea Institute of Science and Technology(KIST)514‑gil Hwaraong‑roSeoul 02792South Korea Program in Environmental and Polymer Engineering Inha University100 Inha‑ro Michuhol‑guIncheon 22212South Korea Advanced Analysis Data Center Korea Institute of Science and Technology(KIST)514‑gil Hwaraong‑roSeoul 02792South Korea Advanced Nanohybrids Laboratory Department of Chemistry and Chemical EngineeringInha University100 Inha‑roMichuhol‑guIncheon 22212South Korea CJ CheilJedang Corporation 55 Gwanggyo‑ro 42Beon‑gilYeongtong‑guSuwon 16495South Korea Department of Chemical Engineering Hanyang University222 Wangsimni‑roSeongdong‑guSeoul 04763South Korea Department of Integrative Energy Engineering Korea University145 Anam‑roSeongbuk‑guSeoul 02841South Korea

Thick cathodes can overcome the low capacity issues,which mostly hamper the performance of the conventional active cathode materials,used in rechargeable Li ***,the typical slurry-based method induces cracking and flaking during the fabrication of thick *** addition,a significant increase in the charge-transfer resistance and local cur-rent overload results in poor rate capabilities and cycling stabilities,thereby limiting electrode *** this study,a synergistic dual-network combination strategy based on a conductive nanofibrillar network(CNN)and a nano-bridging amor-phous polyhydroxyalkanoate(aPHA)binder is used to demonstrate the feasibility of constructing a high-performance thick *** CNN and aPHA dual network facilitates the fabrication of a thick cathode(≥250μm thickness and≥90 wt%active cathode material)by a mass-producible slurry *** thick cathode exhibited a high rate capability and excel-lent cycling *** addition,the thick cathode and thin Li metal anode pair(Li//t-NCM)exhibited an optimal energy performance,affording high-performance Li metal batteries with a high areal energy of~25.3 mW h cm^(-2),a high volumetric power density of~1720 W L^(-1),and an outstanding specific energy of~470 W h kg^(-1)at only 6 mA h cm^(-2).

关键词： Thick cathode Polyhydroxyalkanoate binder Nano-bridging Conductive nano-fibrillar network Lithium metal battery

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The 2020 power blackout in the brazilian state of amapá: Lessons learned and opportunities

The 2020 power blackout in the brazilian state of amapá: Le...

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2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021

作者： Do Prado, Josue Campos Santos, Marcos Vinicius Ramos, Lucas Feksa Canha, Luciane Neves Konzen, Gabriel School of Engineering Computer Science Washington State University VancouverWA98686 United States School of Engineering Newcastle University Newcastle Upon TyneNE1 7RU United Kingdom Federal University of Rondônia Department of Electrical Engineering Porto Velho Brazil Graduate Program in Electrical Engineering Federal University of Santa Maria Santa Maria Brazil Division of Energy Economics and Environmental Studies Rio de Janeiro Brazil

ISBN: (纸本)9781665444217

The Brazilian state of Amapa=-notable for having 70% of its area consisting of unexplored Amazonian forests-experienced a massive power blackout in November 2020. An internal short-circuit in a transformer led to an explosion followed by a fire at the Macapa substation. This event left about 90% of the Amapa's population without power for several days in the middle of the COVID-19 pandemic, disrupting the lives of hundreds of thousands of people and raising concerns from several electricity sector stakeholders. This paper discusses select lessons learned from the power blackout and presents future opportunities to improve power system reliability and resilience for the grids in Amapá, and other similar Brazilian states, with a special focus on the increasingly important role of of distributed energy resources and smart grid technologies. © 2021 IEEE.

关键词： Outages

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Machine learning-based analysis on factors influencing blood heavy metal concentrations in the Korean CHildren's environmental health Study (Ko-CHENS)

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science of the Total Environment 2025年 978卷

作者： Jung, Seowoo Shah, Surabhi Oh, Jongmin Bang, Yoorim Lee, Ji Hyen Kim, Hwan-Cheol Jeong, Kyoung Sook Park, Huibyeol Lee, Eun-Kyung Hong, Yun-Chul Ha, Eunhee Department of Statistics Ewha Womans University Seoul Korea Republic of Department of Environmental Medicine College of Medicine Ewha Womans University Seoul Korea Republic of Department of Human Systems Medicine College of Medicine Seoul National University Seoul Korea Republic of College of Medicine Ewha Womans University Seoul Korea Republic of Institute for Development and Human Security Ewha Womans University Seoul Korea Republic of Department of Pediatrics College of Medicine Ewha Womans University Seoul Korea Republic of Department of Occupational and Environmental Medicine College of Medicine Inha University Hospital Inha University Incheon Korea Republic of Department of Occupational and Environmental Medicine Wonju College of Medicine Wonju Severance Christian Hospital Yonsei University Wonju Korea Republic of Environmental Health Research Division National Institute of Environmental Research Incheon Korea Republic of Institute of Environmental Medicine Medical Research Center Seoul National University Korea Republic of Graduate Program in System Health Science and Engineering Ewha Womans University Ewha Medical Research Institute College of Medicine Seoul Korea Republic of

Heavy metal concentration in pregnant women affects neurocognitive and behavioral development of their infants and children. The majority of existing research focusing on pregnant women's heavy metal concentration has considered individual environmental factor. In this study, we aim to comprehensively consider lifestyle, food, and environmental factors to determine the most influential factor affecting heavy metal concentration in pregnant women. The Ko-CHENS (Korean CHildren health and environmental Study) is a nationwide prospective birth cohort study in South Korea enrolling pregnant women from 2015 to 2020. A total of 5458 eligible pregnant women were included in this study, and 897 variables were included in questionnaire comprising: maternal general information, indoor and living environment, dietary habits, health behavior, exposure to chemicals. Lead, cadmium and mercury concentration on blood were measured in early, late pregnancy and in cord blood at birth. Variables that might be related to heavy metal concentrations were included in machine learning models. Random forest and XGBoost machine learning models were conducted for predictions. Both models had similar but better performance than multiple linear regression. Kimchi (β = 1.55), seaweed (β = 0.40), fatty fish (β = 1.55), intakes respectively affected lead, cadmium, and mercury exposure through early, late pregnancy and cord blood. © 2025

关键词： Obstetrics

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WebFRIS: An efficient web-based decision support tool to disseminate end-to-end risk information for flood management

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Journal of environmental Management 2021年 288卷 112456-112456页

作者： Mohanty, Mohit Prakash Karmakar, Subhankar Environmental Science and Engineering Department Indian Institute of Technology Bombay Mumbai400076 India Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Mumbai400076 India Centre for Urban Science and Engineering Indian Institute of Technology Bombay Mumbai400076 India

The present study describes the development of a web-based flood risk information system ‘WebFRIS’ for Jagatsinghpur district, a severely flood-prone region in Eastern India. The WebFRIS is designed by using various readily available open-source web tools and packages such as Google Map, PHP, MySQL, and JSON. Special emphasis is directed towards designing the layout and architecture, to be easily accessible by any end-user irrespective of any technical know-how. The WebFRIS illustrates spatial maps of flood hazard, socio-economic vulnerability, and flood risk at the village level for two-time scenarios. While analyzing a set of graphical statistics depicting the changes in flood risk components, a significant increase in high and very-high categories of both flood hazard (~140%) and socio-economically vulnerable villages (~68%) is noticed during Scenario-I. The number of villages facing compound risk (contributed equally by flood hazard and socio-economic vulnerability) nearly doubled in Scenario-I. A spatial analysis of diametric changes in flood risk shows that a large proportion of villages in Balikuda, Ersama, and Tirtol tehsils have undergone radical changes. Following these observations, a set of possible engineering, social, and policy measures are proposed, whose implementation in the near future is expected to reinforce flood management in the study area. The WebFRIS architecture is flexible, easy-to-use;it is expected to provide crucial lessons to the local bodies, town-planners, water professionals, flood experts, and also the citizens, a precious knowledge on flood risk management. The WebFRIS may be considered as a precious cartographic product for environmental management. The proposed web platform is generic, as it can be applied to study other inter-related systems such as environmental protection, land-use planning, coastal habitat restoration, and community resilience building. [Table presented] © 2021 Elsevier Ltd

关键词： Floods

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Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects

arXiv

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arXiv 2022年

作者： Ghassami, AmirEmad Yang, Alan Richardson, David Shpitser, Ilya Tchetgen, Eric Tchetgen Department of Computer Science Johns Hopkins University United States Department of Electrical Engineering Stanford University United States Department of Environmental and Occupational Health Program in Public Health University of California Irvine United States Department of Statistics and Data Science The Wharton School University of Pennsylvania United States

We consider the task of identifying and estimating the causal effect of a treatment variable on a long-term outcome variable using data from an observational domain and an experimental domain. The observational domain is subject to unobserved confounding. Furthermore, subjects in the experiment are only followed for a short period of time;hence, long-term effects of treatment are unobserved but short-term effects will be observed. Therefore, data from neither domain alone suffices for causal inference about the effect of the treatment on the long-term outcome, and must be pooled in a principled way, instead. Athey et al. (2020) proposed a method for systematically combining such data for identifying the downstream causal effect in view. Their approach is based on the assumptions of internal and external validity of the experimental data, and an extra novel assumption called latent unconfoundedness. In this paper, we first review their proposed approach, and then we propose three alternative approaches for data fusion for the purpose of identifying and estimating average treatment effect as well as the effect of treatment on the treated. Our first approach is based on assuming equi-confounding bias for the short-term and long-term outcomes. Our second approach is based on a relaxed version of the equi-confounding bias assumption, where we assume the existence of an observed confounder such that the short-term and long-term potential outcome variables have the same partial additive association with that confounder. Our third approach is based on the proximal causal inference framework, in which we assume the existence of an extra variable in the system which is a proxy of the latent confounder of the treatment-outcome relation. We propose influence function-based estimation strategies for each of our data fusion frameworks and study the robustness properties of the proposed estimators. © 2022, CC BY.

关键词： Data fusion

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The Use of Bioethanol-Isooctane Blend and the Effect of its Molecular Properties on Si Engine Performance and Exhaust Emissions

SSRN

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SSRN 2022年

作者： Nanlohy, Hendry Y. Adiwidodo, Satworo Yamaguchi, Masaki Subagyo, Rachmat Suryanto, Heru Wardana, I.N.G. Ueda, Toishihisa Department of Mechanical Engineering Jayapura University of Science and Technology 99351 Indonesia Department of Mechanical Engineering State Polytechnic of Malang 65141 Indonesia School of Science for Open and Environmental Systems Keio University Join Program Center Teikyo University Tokyo 108-8345 Japan Department of Mechanical Engineering Lambung Mangkurat University 70123 Indonesia Department of Mechanical Engineering State University of Malang 65145 Indonesia Department of Mechanical Engineering Brawijaya University 65145 Indonesia

This paper experimentally investigates the effect of ignition timing on a spark-ignition engine using 50% isooctane and bioethanol as fuel. In addition, the atomic, bond, and bond angle properties of both fuel molecules were investigated. The engine tests were conducted on three different ignition timings at 9°, 12°, and 15° before the top dead center (BTDC) with the wide-open throttle at 3500 rpm to 7500 rpm. The result shows that ethanol has 8 non-rotatable and 1 rotatable atomic bond, while the isooctane bond has 23 non-rotatable bonds and 2 rotatable bonds. In addition, ethanol has a partial charge of δ+ 0.209 and δ- 0.395, which is larger than isooctane (i.e., δ+ 0.030, and δ- 0.063);on the other hand, isooctane has a bond angle of 121.1745° that is greater than ethanol, which is 110.0476°. The result shows that the unique molecular properties of ethanol and isooctane can increase the reactivity of the fuel molecules, thereby increasing the performance of the spark-ignition engine. The results also show that the modification to ignition timing gives the maximum effect occurring at 12° for BE50. Moreover, the BE50 produces environmentally friendly exhaust emissions, thus proving that BE50 has the potential to be used in spark-ignition engines. © 2022, The Authors. All rights reserved.

关键词： Paraffins

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