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Corrigendum to “Assessing sustainability of soybean supply in China: Evidence from provincial production and trade data” [J. Clean. Prod. (2020) 245 119006]

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Journal of Cleaner Production 2021年 297卷

作者： Fei Wu Yong Geng Yuquan Zhang Chenxing Ji Yifan Chen Lu Sun Wei Xie Tariq Ali Tsuyoshi Fujita School of Environmental Science and Engineering Shanghai Jiao Tong University Minhang Shanghai 200240 China School of International and Public Affairs Shanghai Jiao Tong University Xuhui Shanghai 200030 China China Institute for Urban Governance Shanghai Jiao Tong University No. 800 Dongchuan Road Minhang Shanghai 200240 China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 China China-UK Low Carbon College Shanghai Jiao Tong University No.3 Yinlian Road Pudong New Area Shanghai 201306 China Department of Electrical Engineering and Computer Science University of California Irvine Irvine 92629 USA School of Geographic Sciences East China Normal University No. 500 Dongchuan Road Minhang Shanghai 200241 China Center for Social and Environmental Systems Research National Institute for Environmental Studies 16-2 Onogawa Tsukuba Ibaraki 305-8506 Japan Department of Environment Systems Graduate School of Frontier Sciences The University of Tokyo 5-1-5 Kashiwanoha 277-8563 Japan China Center for Agricultural Policy School of Advanced Agricultural Sciences Peking University No.5 Yiheyuan Road Haidian District Beijing 100871 China North China University of Technology No.5 Jinyuanzhuang Road Shijingshan District Beijing 100144 China

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Development of an astronaut crew behavioral skills taxonomy for medical event management on future long duration exploration missions 69

Development of an astronaut crew behavioral skills taxonomy ...

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69th International Astronautical Congress: #InvolvingEveryone, IAC 2018

作者： Yule, S. Robertson, J.M. Dias, R.D. Doyle, T. Gupta, A. Singh, S. Lipsitz, S. Pozner, C.N. Smink, D.S. Thorgrimson, J.L. Musson, D. Brigham and Women's Hospital Surgery BostonMA United States Neil and Elise Wallace STRATUS Center for Medical Simulation Brigham and Women's Hospital BostonMA United States Brigham and Women's Hospital Center for Surgery and Public Health BostonMA United States Harvard Medical School BostonMA United States Brigham and Women's Hospital Emergency Medicine BostonMA United States Northern Ontario School of Medicine Thunder BayON Canada McMaster University Department of Electrical and Computer Engineering HamiltonON Canada

Unexpected medical events during long-duration space missions may significantly impact crew health and compromise mission success. Significant factors impacting the outcome of medical events include limited options for premature return to Earth and mission designs scenarios that include delayed communication with ground control. The high acuity, low frequency nature of medical events in spaceflight mirror those occurring in terrestrial surgical environments. Non-technical skills (NTS), including situation awareness, leadership and team coordination, have been shown to increase patient safety and improve outcomes. NTS are behavioural skills;theorized to act through the reduction of performance errors and unexpected events. This study described an approach to developing a NTS taxonomy and behavioural marker system to support medical event management during future long duration exploration missions. This program is comprised of several stages, beginning with an expert panel prioritizing nontechnical skills and medical conditions for simulation and scenario design. A spacecraft themed simulator was designed, constructed and used to simulate and film medical events deemed most likely to occur in spaceflight. The overarching goal is to create a simulation-based training program for astronauts on long duration space missions, improve outcomes in spaceflight medical events, and reduce the overall health risk on long duration exploration missions. Copyright © 2018 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Health risks

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Diabetic Retinopathy Identification using Deep Believe Network

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Journal of Physics: Conference Series 2019年第1期1235卷

作者： M F Syahputra M Rahmah I Jaya U Andayani D Abdullah S Sriadhi E Y Lalusu M Tongko B D Cahya N Fardian Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Faculty of Public Health Universitas Tompotika Luwuk Banggai Indonesia Department of Nutrition Universitas Malikussaleh Aceh Utara Indonesia

Diabetic retinopathy is an eye disease caused by swelling in blood vessels. If it gets worse the blood vessels will rupture and this is the main factor of blindness. This disease is rarely found in children and symptoms can be seen during puberty. One way to find out this disease is a wide and comprehensive pupil jerky eye examination performed by an ophthalmologist manually. Manual examination takes a long time and can cause misidentification because the similarity of characteristics of diabetic retinopathy is difficult to see directly. Because of this problem a method is needed that can facilitate the eye doctor in identifying diabetic retinopathy by simply inserting a retinal image into the system. The method proposed in this study is Deep Belief Network (DBN). The steps taken before identification are the image of the retina undergoing pre-processing in the form of grayscale, median filter, contrast stretching, morphological close operation and feature extraction using the Grey level Counselling Matrix (GLCM). In this study it was shown that the proposed method was able to identify diabetic retinopathy with 84% accuracy, sensitivity 93%, and specificity 70%.

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Distributed optical fiber microphone

Distributed optical fiber microphone

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IEEE Sensors

作者： C. R. Zamarreno C. Martelli R. Daciuk G. Dutra U. J. Dreyer J. C. Cardozo Da Silva I. R. Matias F. J. Arregui Electrical and Electronic Engineering Department Public University of Navarra Pamplona NA/Spain Graduate School on Electrical Engineering and Applied Computer Science Federal University of Technology Curitiba PR/Brazil

ISBN: (纸本)9781509010134

A distributed acoustic sensing (DAS) optical fiber system has been studied using intensity-based optical time-domain reflectometry (i-OTDR). The fiber strain originated by sound waves (pressure waves) is in general quite small to enable the detection using conventional Rayleigh backscattering intensity based systems (low signal to noise ratio). Here, a 10 m portion of optical fiber has been rolled following a plane spiral shape in order increase the fiber surface subjected to the acoustic waves pressure and improve the signal to noise ratio (SNR). The performance of the system within the human voice frequency range (300-3400Hz) has been studied showing to effectively acquire voice signals at different points along a ～2.5 Km fiber.

关键词： Distributed acoustic sensing Rayleigh scattering optical fiber optical microphone

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User behavior and application modeling in decentralized edge cloud infrastructures 14th

User behavior and application modeling in decentralized edge...

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14th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2017

作者： Violos, John de Lira, Vinicius Monteiro Dazzi, Patrizio Altmann, Jörn Al-Athwari, Baseem Schwichtenberg, Antonia Jung, Young-Woo Varvarigou, Theodora Tserpes, Konstantinos School of Electrical and Computer Engineering National Technical University of Athens Zografou15771 Greece Pisa Italy Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul Korea Republic of CAS Software AG Karlsruhe Germany Daejeon Korea Republic of Department of Informatics and Telematcs Harokopio University of Athens Tavros Greece

ISBN: (纸本)9783319680651

Edge computing has emerged as a solution that can accommodate complex application requirements by shifting data and computation to infrastructure elements that are more suitable to manage them given the current circumstances. The BASMATI Knowledge Extractor is a component that facilitates the modeling of the resource utilization by providing tools to analyze application usage together with user behavior. This is particularly relevant in the case of mobile applications where user context and activity are tightly coupled to the application performance. © 2017, Springer International Publishing AG.

关键词： Behavioral research

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Gold [email protected] framework core-shell nanostructure as contrast agent for photoacoustic imaging and its biocompatibility

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Journal of Alloys and Compounds 2018年 748卷 193-198页

作者： Wen Cai Junqing Wang Heng Liu Wei Chen Jian Wang Liping Du Jie Hu Chunsheng Wu Institute of Medical Engineering School of Basic Medical Sciences Xi'an Jiaotong University Health Science Center Xi'an Shaanxi 710061 China Institute of Nanotechnology and Health Sciences Shanghai University of Medicine & Health Sciences Shanghai 201308 China State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics & Center for Molecular Imaging and Translational Medicine School of Public Health Xiamen University Xiamen 361102 China The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology Xi'an Jiaotong University Xi'an Shaanxi 710049 China Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA 02139 USA

Zeolitic imidazolate framework-8 (ZIF-8), one kind of metal-organic frameworks, has attracted much attention in biomedicine applications. In this manuscript, a novel gold [email protected] imidazolate framework-8 (Au [email protected] ) core-shell nanostructure has been successfully prepared via a facile step-by-step route. The phase, structure, morphology, and surface properties of the obtained core-shell nanostructure were characterized by XRD, SEM, TEM, Zeta, and FTIR analysis. The core-shell nanostructure showed good photothermal performances and photoacoustic (PA) imaging capability resulting from Au NR. The coated metal-organic framework ZIF-8 shell made the nanostructure easily to be modified for further bioapplications. The MTT assay demonstrated that the nanostructure possessed low cell cytotoxicity and had potential biomedical applications.

关键词： Gold nanorods ZIF-8 Photoacoustic (PA) imaging Biocompatibility

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High-depth African genomes inform human migration and health (vol 586, pg 741, 2020)

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NATURE 2021年第7856期592卷 E26-E26页

作者： Choudhury, Ananyo Aron, Shaun Botigue, Laura R. Sengupta, Dhriti Botha, Gerrit Bensellak, Taoufik Wells, Gordon Kumuthini, Judit Shriner, Daniel Fakim, Yasmina J. Ghoorah, Anisah W. Dareng, Eileen Odia, Trust Falola, Oluwadamilare Adebiyi, Ezekiel Hazelhurst, Scott Mazandu, Gaston Nyangiri, Oscar A. Mbiyavanga, Mamana Benkahla, Alia Kassim, Samar K. Mulder, Nicola Adebamowo, Sally N. Chimusa, Emile R. Muzny, Donna Metcalf, Ginger Gibbs, Richard A. Matovu, Enock Bucheton, Bruno Hertz-Fowler, Christiane Koffi, Mathurin Macleod, Annette Mumba-Ngoyi, Dieudonne Noyes, Harry Nyangiri, Oscar A. Simo, Gustave Simuunza, Martin Rotimi, Charles Ramsay, Michele Choudhury, Ananyo Choudhury, Ananyo Aron, Shaun Botigue, Laura Sengupta, Dhriti Botha, Gerrit Bensellak, Taoufik Wells, Gordon Kumuthini, Judit Shriner, Daniel Fakim, Yasmina J. Ghoorah, Anisah W. Dareng, Eileen Odia, Trust Falola, Oluwadamilare Adebiyi, Ezekiel Hazelhurst, Scott Mazandu, Gaston Nyangiri, Oscar A. Mbiyavanga, Mamana Benkahla, Alia Kassim, Samar K. Mulder, Nicola Adebamowo, Sally N. Chimusa, Emile R. Rotimi, Charles Ramsay, Michele Adeyemo, Adebowale A. Lombard, Zane Hanchard, Neil A. Adebamowo, Clement Agongo, Godfred Boua, Romuald P. Oduro, Abraham Sorgho, Hermann Landoure, Guida Cisse, Lassana Diarra, Salimata Samassekou, Oumar Anabwani, Gabriel Matshaba, Mogomotsi Joloba, Moses Kekitiinwa, Adeodata Mardon, Graeme Mpoloka, Sununguko W. Kyobe, Samuel Mlotshwa, Busisiwe Mwesigwa, Savannah Retshabile, Gaone Williams, Lesedi Wonkam, Ambroise Moussa, Ahmed Adu, Dwomoa Ojo, Akinlolu Burke, David Salako, Babatunde O. Matovu, Enock Bucheton, Bruno Hertz-Fowler, Christiane Koffi, Mathurin Macleod, Annette Mumba-Ngoyi, Dieudonne Noyes, Harry Nyangiri, Oscar A. Simo, Gustave Simuunza, Martin Awadalla, Philip Bruat, Vanessa Gbeha, Elias Adeyemo, Adebowale A. Lombard, Zane Hanchard, Neil A. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa School of Electrical and Information Engineering University of the Witwatersrand Johannesburg South Africa Division of Human Genetics National Health Laboratory Service and School of Pathology Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa Navrongo Health Research Centre Navrongo Ghana Clinical Research Unit of Nanoro Institut de Recherche en Sciences de la Sante Bobo-Dioulasso Burkina Faso Center for Research in Agricultural Genomics (CRAG) Plant and Animal Genomics Program CSIC-IRTA-UAB-UB Barcelona Spain Computational Biology Division and H3ABioNet Department of Integrative Biomedical Sciences IDM University of Cape Town Cape Town South Africa System and Data Engineering Team Abdelmalek Essaadi University ENSA Tangier Morocco Centre for Proteomic and Genomic Research (CPGR) Cape Town South Africa South African National Bioinformatics Institute University of the Western Cape Bellville South Africa Africa Health Research Institute Durban South Africa Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA Department of Agriculture and Food Science Faculty of Agriculture University of Mauritius Reduit Mauritius Department of Digital Technologies Faculty of Information Communication & Digital Technologies University of Mauritius Reduit Mauritius Department of Public Health and Primary Care University of Cambridge Cambridge UK Institute of Human Virology Nigeria Abuja Nigeria Department of Epidemiology and Public Health University of Maryland School of Medicine University of Maryland Baltimore Baltimore MD USA University of Maryland Greenebaum Comprehensive Cancer Center University of Maryland School of Medicine University of Maryland Baltimore Baltimore MD USA Institute of Human Virology and Greeneba

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MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography

arXiv

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arXiv 2019年

作者： Moradi, Shakiba Alizadehasl, Azin Dhooge, Jan Shiri, Isaac Oveisi, Niki Oveisi, Mehrdad Maleki, Majid Ghelich-Oghli, Mostafa Intelligent Imaging Technology Research Center Med Fanavarn Plus Co. 10th St. Shahid Babaee Blvd. Payam Special Economic Zone Karaj Department of Electrical Engineering Sharif University of Technology Tehran Iran Echocardiography and Cardiogenetic research centers Cardio-Oncology Department Rajaie Cardiovascular Medical & Research Center Tehran Department of Cardiovascular Sciences KU Leuven Leuven Belgium Department of Biomedical and Health Informatics Rajaie Cardiovascular Medical and Research Center Iran University of Medical Science Tehran Research Center for Molecular and Cellular Imaging Tehran University of Medical Sciences Tehran Iran School of Population and Public Health University of British Columbia BCV6T1Z4 Canada Department of Computer Science University of British Columbia VancouverBCV6T1Z4 Canada

Segmentation of the Left ventricle (LV) is a crucial step for quantitative measurements such as area, volume, and ejection fraction. However, the automatic LV segmentation in 2D echocardiographic images is a challenging task due to ill-defined borders, and operator dependence issues (insufficient reproducibility). U-net, which is a well-known architecture in medical image segmentation, addressed this problem through an encoder-decoder path. Despite outstanding overall performance, U-net ignores the contribution of all semantic strengths in the segmentation procedure. In the present study, we have proposed a novel architecture to tackle this drawback. Feature maps in all levels of the decoder path of U-net are concatenated, their depths are equalized, and up-sampled to a fixed dimension. This stack of feature maps would be the input of the semantic segmentation layer. The proposed network yielded state-of-the-art results when comparing with results from U-net, dilated U-net, and deeplabv3, using the same dataset. An average Dice Metric (DM) of 0.945, Hausdorff Distance (HD) of 1.62, Jaccard Coefficient (JC) of 0.97, and Mean Absolute Distance (MAD) of 1.32 are achieved. The correlation graph, bland-altman analysis, and box plot showed a great agreement between automatic and manually calculated volume, area, and length. Copyright © 2019, The Authors. All rights reserved.

关键词： Echocardiography

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A Review of Digital Surveillance Methods and Approaches to Combat Prescription Drug Abuse

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Current Addiction Reports 2017年第4期4卷 397-409页

作者： Kalyanam, Janani Mackey, Tim K. Department of Electrical and Computer Engineering University of California San Diego San Diego CA United States Global Health Policy Institute 6256 Greenwich Drive Mail Code: 0172X San Diego 92122 CA United States Department of Anesthesiology University of California San Diego School of Medicine San Diego CA United States Department of Medicine Division of Global Public Health University of California San Diego School of Medicine San Diego CA United States

Purpose of Review: The use of social media to conduct digital surveillance to address different health challenges is growing. This multidisciplinary review assesses the current state of methods and applied research used to conduct digital surveillance for prescription drug abuse. Recent Findings: Fifteen studies met our inclusion criteria from the databases reviewed (PubMed, IEEE Xplore, and ACM Digital Library). The articles were characterized based on their overarching goals and aims, data collection and dataset attributes, and analysis approaches. Overall, reviewed studies grouped into two overarching categories as either being method-focused (advancing novel methodologies using social media data), applied-focused (generating new information on prescription drug abuse behavior), or having both elements. The social media platform most predominantly used was Twitter, with wide variation in sample size and duration of data collection. Several data analysis strategies were employed, including machine learning, temporal analysis, rule-based approaches, and statistical analysis. Summary: Our review indicates that the field of prescription drug abuse digital surveillance is still maturing. Though many studies captured large volumes of data, the majority did not analyze data to characterize user behavior, a critical step needed in order to better explain the underlying risk environment for prescription drug abuse. Future studies need to better translate method-based approaches into applied research, use data generated from social media platforms other than Twitter, and take advantage of emerging data analysis strategies, including deep learning and multimodal approaches. © 2017, Springer International Publishing AG.

关键词： Digital surveillance Infoveillance Non-medical use of prescription drugs Prescription drug abuse Social media Twitter

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Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic (vol 11, 5172, 2020)

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NATURE COMMUNICATIONS 2020年第1期11卷 5172页

作者： Liu, Zhu Ciais, Philippe Deng, Zhu Lei, Ruixue Davis, Steven J. Feng, Sha Zheng, Bo Cui, Duo Dou, Xinyu Zhu, Biqing Guo, Rui Ke, Piyu Sun, Taochun Lu, Chenxi He, Pan Wang, Yuan Yue, Xu Wang, Yilong Lei, Yadong Zhou, Hao Cai, Zhaonan Wu, Yuhui Guo, Runtao Han, Tingxuan Xue, Jinjun Boucher, Olivier Boucher, Eulalie Chevallier, Frederic Tanaka, Katsumasa Wei, Yiming Zhong, Haiwang Kang, Chongqing Zhang, Ning Chen, Bin Xi, Fengming Liu, Miaomiao Breon, Francois-Marie Lu, Yonglong Zhang, Qiang Guan, Dabo Gong, Peng Kammen, Daniel M. He, Kebin Schellnhuber, Hans Joachim Department of Earth System Science Tsinghua University Beijing China. zhuliu@***. Laboratoire des Sciences du Climat et de l'Environnement LSCE CEA CNRS UVSQ Centre d'Etudes Orme de Merisiers Gif-sur-Yvette France. Department of Earth System Science Tsinghua University Beijing China. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA. Department of Earth System Science University of California Irvine 3232 Croul Hall Irvine CA USA. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing China. Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China. Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. School of Environment Tsinghua University Beijing China. School of Mathematical School Tsinghua University Beijing China. Department of Mathematical Sciences Tsinghua University Beijing China. Center of Hubei Cooperative Innovation for Emissions Trading System Wuhan China. Institut Pierre-Simon Laplace Sorbonne Université / CNRS Paris France. Université Paris Dauphine Place du Maréchal de Lattre de Tassigny 75016 Paris France. Center for Energy and Environmental Policy Research Beijing Institute of Technology Beijing China. Department of Electrical Engineering the State Key Lab of Control and Simulation of Power Systems and Generation Equipment Institute for National Governance and G

A Correction to this paper has been published: https://***/10.1038/s41467-020-20254-5

关键词： Climate sciences Atmospheric science Environmental sciences Environmental social sciences

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