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Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017 (vol 395, pg 1779, 2020)

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LANCET 2020年第10239期395卷 1762-1762页

作者： Reiner, R. C., Jr. Hay, S., I Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Global Health School of Medicine University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States College of Health and Medical Sciences Haramaya University Harar Ethiopia Department of Epidemiology and Biostatistics Haramaya University Harar Ethiopia Department of Medical Laboratory Sciences Haramaya University Harar Ethiopia School of Nursing and Midwifery Haramaya University Harar Ethiopia School of Pharmacy Haramaya University Harar Ethiopia School of Public Health Haramaya University Harar Ethiopia Haramaya University Harar Ethiopia Advanced Diagnostic and Interventional Radiology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Biology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Research Institute Tehran University of Medical Sciences Tehran Iran Department of Economics and Management Sciences for Health Tehran University of Medical Sciences Tehran Iran Department of Environmental Health Engineering Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Department of Health Management and Economics Tehran University of Medical Sciences Tehran Iran Department of Microbiology Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Center Tehran University of Medical Sciences Tehran Iran Hematology-Oncology and Stem Cell Transplantation Research Center Tehran University of Medical Sciences Tehran Iran Iran National Institute of Health Research Tehran University of Medical Sciences Tehran Iran Metabolomics and

Summary Background Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood *** We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor *** The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy *** By co-analysing geospatial trends in d

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New method for the stability analysis of neutral systems with time-varying structured uncertainties

New method for the stability analysis of neutral systems wit...

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第37届中国控制会议

作者： Liming Ding Dajiang He Xianwu Mi Jun Shu Leiping Chen Fazhong Hou Dengfeng Xiao College of Electrical and Information Engineering Huaihua University Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province Teaching and Research Section for Computer in Department of Public Courses Huaihua University of Medicine School of Information and Electrical Engineering Hunan University of Science and Technology

This study investigates the delay-dependent stability problem for neutral systems with mixed *** from previous works,this paper employs the free-weighting matrix(FWM) approach and integral inequality approach to estimate the derivative of LKF ***,a new integral inequality based the Wirtinger inequality is *** improved inequality is right used to cope with the terms ∫x(s)ds which are generated by using the free-weighting matrix ***,by integrating the newly integral inequality with free-weighting matrix approach,some less conservative stability criteria are *** examples demonstrate the effectiveness of the method and its advantage over existing methods.

关键词： free-weighting matrix（FWM） integral inequality Stabilization Linear matrix inequality（LMI） neutral systems

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Simulation studies of annihilation-photon’s polarisation via Compton scattering with the J-PET tomograph

arXiv

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arXiv 2019年

作者： Krawczyk, N. Hiesmayr, B.C. Curceanu, C. Czerwiński, E. Dulski, K. Gajos, A. Gorgol, M. Gupta-Sharma, N. Jasińska, B. Kisielewska, D. Korcyl, G. Kowalski, P. Krzemień, W. Kozik, T. Kubicz, E. Mohammed, M. Niedźwiecki, Sz. Pålka, M. Pawlik-Niedźwiecka, M. Raczyński, L. Raj, J. Rakoczy, K. Rudy, Z. Sharma, S. Shivani Shopa, R.Y. Silarski, M. Skurzok, M. Wiślicki, W. Zgardzińska, B. Zieliński, M. Moskal, P. Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University S. Lojasiewicza 11 Kraków30-348 Poland INFN Laboratori Nazionali di Frascati CP 13 Via E. Fermi 40 Frascati00044 Italy Faculty of Physics University of Vienna Boltzmanngasse 5 Vienna1090 Austria Department of Nuclear Methods Institute of Physics Maria Curie-Sklodowska University Pl. M. Curie-Sklodowskiej 1 Lublin20-031 Poland Department of Complex Systems National Centre for Nuclear Research Otwock-Swierk05-400 Poland High Energy Department National Centre for Nuclear Research Otwock-Swierk05-400 Poland

J-PET is the first positron-emission tomograph (PET) constructed from plastic scintillators. It was optimized for the detection of photons from electron-positron annihilation. Such photons, having an energy of 511 keV, interact with electrons in plastic scintillators predominantly via the Compton effect. Copyright © 2019, The Authors. All rights reserved.

关键词： Polarization

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Practitioner’s guide to social network analysis: Examining physics anxiety in an active-learning setting

arXiv

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arXiv 2018年

作者： Dou, Remy Zwolak, Justyna P. Department of Teaching and Learning Florida International University MiamiFL33199 United States STEM Transformation Institute Florida International University MiamiFL33199 United States Joint Center for Quantum Information and Computer Science UMD College ParkMD20742 United States

The application of social network analysis (SNA) has recently grown prevalent in science, technology, engineering, and mathematics education research. Research on classroom networks has led to greater understandings of student persistence in physics majors, changes in their career-related beliefs (e.g., physics interest), and their academic success. In this paper, we aim to provide a practitioner’s guide to carrying out research using SNA, including how to develop data collection instruments, setup protocols for gathering data, as well as identify network methodologies relevant to a wide range of research questions beyond what one might find in a typical primer. We illustrate these techniques using student anxiety data from active-learning physics classrooms. We explore the relationship between students’ physics anxiety and the social networks they participate in throughout the course of a semester. We find that students’ with greater numbers of outgoing interactions are more likely to experience negative anxiety shifts even while we control for pre anxiety, gender, and final course grade. We also explore the evolution of student networks and find that the second half of the semester is a critical period for participating in interactions associated with decreased physics anxiety. Our study further supports the benefits of dynamic group formation strategies that give students an opportunity to interact with as many peers as possible throughout a semester. To complement our guide to SNA in education research, we also provide a set of tools for letting other researchers use this approach in their work – the SNA toolbox – that can be accessed on GitHub. Copyright © 2018, The Authors. All rights reserved.

关键词： Students

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Extending driving vision based on image mosaic technique 13

Extending driving vision based on image mosaic technique

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13th Global Congress on Manufacturing and Management, GCMM 2016

作者： Chen, Deng Zhang, Yanduo Wei, Wei Li, Xiaolin Zhou, Huabing Zhu, Rui Lu, Tao Li, Xun Xu, Haijiao Peng, Li Hubei Provincial Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan China Department of Computer and Science Guangdong University of Education Guangzhou China Teaching Guidance Center Hubei Radio and TV University Wuhan China

Car cameras have been used extensively to assist driving by make driving visible. However, due to the limitation of the Angle of View (AoV), the dead zone still exists, which is a primary origin of car accidents. In this paper, we introduce a system to extend the vision of drivers to 360 degrees. Our system consists of four wide-angle cameras, which are mounted at different sides of a car. Although the AoV of each camera is within 180 degrees, relying on the image mosaic technique, our system can seamlessly integrate 4-channel videos into a panorama video. The panorama video enable drivers to observe everywhere around a car as far as three meters from a top view. We performed experiments in a laboratory environment. Preliminary results show that our system can eliminate vision dead zone completely. Additionally, the realtime performance of our system can satisfy requirements for practical use. © The Authors, published by EDP sciences.

关键词： Cameras

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VideoMark:A Video-Based Learning Analytic Technique for MOOCs

VideoMark:A Video-Based Learning Analytic Technique for MOOC...

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2017 IEEE 2nd International Conference on Big Data Analysis（ICBDA 2017）

作者： Nen-Fu Huang Hao-Hsuan Hsu So-Chen Chen Chia-An Lee Yi-Wei Huang Po-Wen Ou Jian-Wei Tzeng Department of Computer Science Tsing Hua University Center for Teaching and Learning Development Tsing Hua University

The massive online open course(MOOC) revolution offers opportunities for learning analytics regarding the diversity in learning activities of *** MOOCs,video lectures represent the principal learning resource,and learners spend most of their time engaged in self-paced,independent ***,MOOCs present an innovative form of video-based *** to improve this learning environment by adding additional features to video lectures represents a path for *** studies have investigated the interaction between learners and the video content;however,improvement in this domain is *** paper proposes a video-based learning analysis approach called Video Mark,which enables learners to judiciously review,consolidate,and clarify specific concepts introduced in *** analytical approach can be applied to MOOC-style Share Course programs in ***,this analytical approach is presented as a visual keyword cloud for learners to clarify specific learning concepts in the MOOC learning process.

关键词： Learning analytics learning behaviors learning processes massive online open courses(MOOCs) video-based learning

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ON THE EXISTENCE AND UNIQUENESS OF THE SOLUTION OF A PARABOLIC OPTIMAL CONTROL PROBLEM WITH UNCERTAIN INPUTS

arXiv

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arXiv 2018年

作者： Benner, Peter Onwunta, Akwum Stoll, Martin Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstrasse 1 Magdeburg39106 Germany Department of Computer Science University of Maryland College ParkMD20742 United States Technische Universität Chemnitz Faculty of Mathematics Professorship Scientific Computing Chemnitz09107 Germany

In this note, we consider the existence and uniqueness of the solution of a time-dependent optimal control problem constrained by a partial differential equation with uncertain inputs. Relying on the Lions’ Lemma for deterministic problems, we furthermore characterize the optimal control of the stochastic problem. Copyright © 2018, The Authors. All rights reserved.

关键词： Optimal control systems

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Region-tree Based Sorted List Indexing for Real-time Entity Resolution in n-Dimensional Data Space

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IOP Conference Series: Materials science and Engineering 2018年第1期466卷

作者： Liang Zhu Weipeng Lu Qin Ma Weiyi Meng School of Cyber Security and Computer Science Hebei University China Department of Foreign Language Teaching and Research Hebei University China Department of Computer Science State University of New York at BinghamtonUSA

Entity resolution (ER) is the process of identifying which tuples/records in a dataset refer to the same real-world entity. In this paper, we primarily focus on the deduplication task for n-dimensional datasets that contain real vectors with the dimensionality 2 ≤ n ≤ 784. By presenting an algorithm with complete and disjoint space partitioning, the ER-Index with a region-tree and sorted lists will be created by a sample set of a (dirty) dataset. We utilize primary horizontal fragmentation to partition a dataset into a set of fragments, and then resolve the fragments one by one applying the ER-Index and algorithms. Extensive experiments are conducted to demonstrate the performances of our proposed approaches.

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Author Correction: Federated learning enables big data for rare cancer boundary detection

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Nature communications 2023年第1期14卷 436页

作者： Sarthak Pati Ujjwal Baid Brandon Edwards Micah Sheller Shih-Han Wang G Anthony Reina Patrick Foley Alexey Gruzdev Deepthi Karkada Christos Davatzikos Chiharu Sako Satyam Ghodasara Michel Bilello Suyash Mohan Philipp Vollmuth Gianluca Brugnara Chandrakanth J Preetha Felix Sahm Klaus Maier-Hein Maximilian Zenk Martin Bendszus Wolfgang Wick Evan Calabrese Jeffrey Rudie Javier Villanueva-Meyer Soonmee Cha Madhura Ingalhalikar Manali Jadhav Umang Pandey Jitender Saini John Garrett Matthew Larson Robert Jeraj Stuart Currie Russell Frood Kavi Fatania Raymond Y Huang Ken Chang Carmen Balaña Jaume Capellades Josep Puig Johannes Trenkler Josef Pichler Georg Necker Andreas Haunschmidt Stephan Meckel Gaurav Shukla Spencer Liem Gregory S Alexander Joseph Lombardo Joshua D Palmer Adam E Flanders Adam P Dicker Haris I Sair Craig K Jones Archana Venkataraman Meirui Jiang Tiffany Y So Cheng Chen Pheng Ann Heng Qi Dou Michal Kozubek Filip Lux Jan Michálek Petr Matula Miloš Keřkovský Tereza Kopřivová Marek Dostál Václav Vybíhal Michael A Vogelbaum J Ross Mitchell Joaquim Farinhas Joseph A Maldjian Chandan Ganesh Bangalore Yogananda Marco C Pinho Divya Reddy James Holcomb Benjamin C Wagner Benjamin M Ellingson Timothy F Cloughesy Catalina Raymond Talia Oughourlian Akifumi Hagiwara Chencai Wang Minh-Son To Sargam Bhardwaj Chee Chong Marc Agzarian Alexandre Xavier Falcão Samuel B Martins Bernardo C A Teixeira Flávia Sprenger David Menotti Diego R Lucio Pamela LaMontagne Daniel Marcus Benedikt Wiestler Florian Kofler Ivan Ezhov Marie Metz Rajan Jain Matthew Lee Yvonne W Lui Richard McKinley Johannes Slotboom Piotr Radojewski Raphael Meier Roland Wiest Derrick Murcia Eric Fu Rourke Haas John Thompson David Ryan Ormond Chaitra Badve Andrew E Sloan Vachan Vadmal Kristin Waite Rivka R Colen Linmin Pei Murat Ak Ashok Srinivasan J Rajiv Bapuraj Arvind Rao Nicholas Wang Ota Yoshiaki Toshio Moritani Sevcan Turk Joonsang Lee Snehal Prabhudesai Fanny Morón Jacob Mandel Konstantinos Kamnitsas Ben Glocker Luke V M Dixon Matthew Williams Peter Zamp Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA. Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Informatics Technical University of Munich Munich Bavaria Germany. Intel Corporation Santa Clara CA USA. Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany. Clinical Cooperation Unit Neuropathology German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ) Heidelberg Germany. Department of Neuropathology Heidelberg University Hospital Heidelberg Germany. Division of Medical Image Computing German Cancer Research Center Heidelberg Germany. Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany. Neurology Clinic Heidelberg University Hospital Heidelberg Germany. Department of Radiology & Biomedical Imaging University of California San Francisco San Francisco CA USA. Symbiosis Center for Medical Image Analysis Symbiosis International University Pune Maharashtra India. Department of Neuroimaging and Interventional Radiology National Institute of Mental Health and Neurosciences Bangalore Karnataka India. Department of Radiology School of Medicine and Public Health University of Wisconsin Madison WI USA. Department of Medical Physics School of Medicine and Public Health University of Wisconsin Madison WI USA. Leeds Teaching Hospitals Trust Department of Radiology Leeds UK. Department of Radiology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA USA. Catalan Institute of Oncology Badalona Spain. Consorci MAR Parc de Salut de Barcelona Catalonia Spain. Department of Radiology (IDI

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Research on E-Commerce Automatic Question Answering System Model Based on Data Mining

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Journal of Physics: Conference Series 2018年第1期1069卷

作者： Xiaohui Pan Tao Zhang Computer Course Teaching Department Shanghai University of Political Science and Law Shanghai China 201701 Department of Computer Engineering and Science Shanghai University Shanghai China 200444 Shanghai Institute for Advanced Communication and Data Science Shanghai China 200444

With the rapid development of the Internet and artificial intelligence, intelligent question answering systems have become current research hotspots because they can provide users with accurate answers and intelligent services. They are gradually entering the e-commerce field to replace some manual work. In this paper, we proposed several models including a user intent recognition model, a pattern of association rule mining model and a model of the entire e-commerce auto answering system. In addition, the application effects of these models were analysed. The models and analysis in this work are useful for constructing e-commerce automatic question answering system or making personalized recommendations and related services.

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