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Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026

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The Lancet Global Health 2023年第3期11卷 e385-e413页

作者： Micah, Angela E. Bhangdia, Kayleigh Cogswell, Ian E. Lasher, Dylan Lidral-Porter, Brendan Maddison, Emilie R. Nguyen, Trang Nhu Ngoc Patel, Nishali Pedroza, Paola Solorio, Juan Stutzman, Hayley Tsakalos, Golsum Wang, Yifeng Warriner, Wesley Zhao, Yingxi Zlavog, Bianca S. Abbafati, Cristiana Abbas, Jaffar Abbasi-Kangevari, Mohsen Abbasi-Kangevari, Zeinab Abdelmasseh, Michael Abdulah, Deldar Morad Abedi, Aidin Abegaz, Kedir Hussein Abhilash, E.S. Aboagye, Richard Gyan Abolhassani, Hassan Abrigo, Michael R.M. Abubaker Ali, Hiwa Abu-Gharbieh, Eman Adem, Mohammed Hussien Afzal, Muhammad Sohail Ahmadi, Ali Ahmed, Haroon Ahmed Rashid, Tarik Aji, Budi Akbarialiabad, Hossein Akelew, Yibeltal Al Hamad, Hanadi Alam, Khurshid Alanezi, Fahad Mashhour Alanzi, Turki M. Al-Hanawi, Mohammed Khaled Alhassan, Robert Kaba Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Amare, Azmeraw T. Ameyaw, Edward Kwabena Amini-Rarani, Mostafa Amu, Hubert Ancuceanu, Robert Andrei, Tudorel Anwar, Sumadi Lukman Appiah, Francis Aqeel, Muhammad Arabloo, Jalal Arab-Zozani, Morteza Aravkin, Aleksandr Y. Aremu, Olatunde Aruleba, Raphael Taiwo Athari, Seyyed Shamsadin Avila-Burgos, Leticia Ayanore, Martin Amogre Azari, Samad Baig, Atif Amin Bantie, Abere Tilahun Barrow, Amadou Baskaran, Pritish Basu, Sanjay Batiha, Abdul-Monim Mohammad Baune, Bernhard T. Berezvai, Zombor Bhardwaj, Nikha Bhardwaj, Pankaj Bhaskar, Sonu Boachie, Micheal Kofi Bodolica, Virginia Botelho, João Silva Botelho Braithwaite, Dejana Breitborde, Nicholas J.K. Busse, Reinhard Cahuana-Hurtado, Lucero Catalá-López, Ferrán Chansa, Collins Charan, Jaykaran Chattu, Vijay Kumar Chen, Simiao Chukwu, Isaac Sunday Dadras, Omid Dandona, Lalit Dandona, Rakhi Dargahi, Abdollah Debela, Sisay Abebe Denova-Gutiérrez, Edgar Desye, Belay Dharmaratne, Samath Dhamminda Diao, Nancy Doan, Linh Phuong Dodangeh, Milad dos Santos, Wendel Mombaque Doshmangir, Leila Dube, John Eini, Ebrahim El Sayed Zaki, Maysaa El Tantawi, Maha Enyew, Daniel Berhanie Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Applied Mathematics University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Nuffield Department of Medicine University of Oxford Oxford United Kingdom Department of Juridical and Economic Studies La Sapienza University Rome Italy Antai College of Economics Shanghai Jiao Tong University Shanghai China Non-communicable Diseases Research Center Tehran University of Medical Sciences Tehran Iran Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Multiple Sclerosis Research Center Tehran University of Medical Sciences Tehran Iran Children’s Medical Center Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Tehran Heart Center Tehran University of Medical Sciences Tehran Iran Faculty of Medicine Tehran University of Medical Sciences Tehran Iran National Institute for Health Research Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Department of Cardiology Tehran University of Medical Sciences Tehran Iran Sina Trauma and Surgery Research Center Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Department of Neurology Tehran University of Medical Sciences Tehran Iran Social Determinants of Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Epidemiology Shahid Beheshti University of Medical Sciences Tehran Iran Department of Health Economics and Statistics Shahid Beheshti University of Medical Sciences Tehran Iran Department of Neurosurgery Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic R

Background: The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic;characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic;and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods: In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting system (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings: In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1–9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2–7·4) in 2019;293·7 times the $24·8 billion (95% UI 24·3–25·3) spent by low-income countries in 2019. That same year, $43·1 billion in development assistance was provided

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Global data on earthworm abundance, biomass, diversity and corresponding environmental properties

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SCIENTIFIC DATA 2021年第1期8卷 136页

作者： Phillips, Helen R. P. Bach, Elizabeth M. Bartz, Marie L. C. Bennett, Joanne M. Beugnon, Remy Briones, Maria J. I. Brown, George G. Ferlian, Olga Gongalsky, Konstantin B. Guerra, Carlos A. Koenig-Ries, Birgitta Krebs, Julia J. Orgiazzi, Alberto Ramirez, Kelly S. Russell, David J. Schwarz, Benjamin Wall, Diana H. Brose, Ulrich Decaens, Thibaud Lavelle, Patrick Loreau, Michel Mathieu, Jerome Mulder, Christian van der Putten, Wim H. Rillig, Matthias C. Thakur, Madhav P. de Vries, Franciska T. Wardle, David A. Ammer, Christian Ammer, Sabine Arai, Miwa Ayuke, Fredrick O. Baker, Geoff H. Baretta, Dilmar Barkusky, Dietmar Beausejour, Robin Bedano, Jose C. Birkhofer, Klaus Blanchart, Eric Blossey, Bernd Bolger, Thomas Bradley, Robert L. Brossard, Michel Burtis, James C. Capowiez, Yvan Cavagnaro, Timothy R. Choi, Amy Clause, Julia Cluzeau, Daniel Coors, Anja Crotty, Felicity V. Crumsey, Jasmine M. Davalos, Andrea Diaz Cosin, Dario J. Dobson, Annise M. Dominguez, Anahi Esteban Duhour, Andres van Eekeren, Nick Emmerling, Christoph Falco, Liliana B. Fernandez, Rosa Fonte, Steven J. Fragoso, Carlos Franco, Andre L. C. Fusilero, Abegail Geraskina, Anna P. Gholami, Shaieste Gonzalez, Grizelle Gundale, Michael J. Gutierrez Lopez, Monica Hackenberger, Branimir K. Hackenberger, Davorka K. Hernandez, Luis M. Hirth, Jeff R. Hishi, Takuo Holdsworth, Andrew R. Holmstrup, Martin Hopfensperger, Kristine N. Huerta Lwanga, Esperanza Huhta, Veikko Hurisso, Tunsisa T. Iannone, Basil V., III Iordache, Madalina Irmler, Ulrich Ivask, Mari Jesus, Juan B. Johnson-Maynard, Jodi L. Joschko, Monika Kaneko, Nobuhiro Kanianska, Radoslava Keith, Aidan M. Kernecker, Maria L. Kone, Armand W. Kooch, Yahya Kukkonen, Sanna T. Lalthanzara, H. Lammel, Daniel R. Lebedev, Iurii M. Le Cadre, Edith Lincoln, Noa K. Lopez-Hernandez, Danilo Loss, Scott R. Marichal, Raphael Matula, Radim Minamiya, Yukio Moos, Jan Hendrik Moreno, Gerardo Moron-Rios, Alejandro Motohiro, Hasegawa Muys, Bart Neirynck, Johan Norgrove, Lindsey Novo, Marta Nuutinen, Visa Nuzzo, Victoria Rah German Ctr Integrat Biodivers Res iDiv Puschstr 4 D-04103 Leipzig Germany Univ Leipzig Inst Biol Puschstr 4 D-04103 Leipzig Germany St Marys Univ Dept Environm Sci Halifax NS Canada Colorado State Univ Global Soil Biodivers Initiat Ft Collins CO 80523 USA Colorado State Univ Sch Global Environm Sustainabil Ft Collins CO 80523 USA Colorado State Univ Dept Biol Ft Collins CO 80523 USA Univ Positivo Rua Prof Pedro Viriato Parigot de Souza 5300 BR-81280330 Curitiba Parana Brazil Univ Coimbra Dept Life Sci Ctr Funct Ecol P-3000456 Coimbra Portugal Martin Luther Univ Halle Wittenberg Inst Biol Kirchtor 1 D-06108 Halle Saale Germany Univ Canberra Inst Appl Ecol Fac Sci & Technol Ctr Appl Water Sci Canberra ACT Australia Univ Vigo Dept Ecol Biol Anim Vigo 36310 Spain Embrapa Forestry Estrada RibeiraKm 111CP 231 BR-83411000 Colombo PR Brazil Russian Acad Sci AN Severtsov Inst Ecol & Evolut Leninsky Pr 33 Moscow 119071 Russia Moscow MV Lomonosov State Univ Leninskie Gory 1 Moscow 119991 Russia Friedrich Schiller Univ Jena Inst Comp Sci Ernst Abbe Pl 2 D-07743 Jena Germany European Commiss Joint Res Ctr JRC Ispra Italy Netherlands Inst Ecol NIOO KNAW Dept Terr Ecol NL-6700 AB Wageningen Netherlands Senckenberg Museum Nat Hist Gorlitz Dept Soil Zool D-02826 Gorlitz Germany Univ Freiburg Biometry & Environm Syst Anal Tennenbacher Str 4 D-79106 Freiburg Germany Friedrich Schiller Univ Jena Inst Biodivers Dornburger Str 159 D-07743 Jena Germany Univ Montpellier CEFE CNRS EPHEIRD Univ Paul Valery Montpellier 3 Montpellier France Sorbonne Univ Inst Ecol & Sci Environm F-75005 Paris France CNRS Theoret & Expt Ecol Stn Ctr Biodivers Theory & Modelling F-09200 Moulis France UPMC Sorbonne Univ Inst Ecol & Environm Sci Paris UMR 7618 IEES Pari CNRSINRAIRDUPEC 4 Pl Jussieu F-75000 Paris France INRA Inst Ecol & Sci Environm Paris IRD F-75005 Paris France Univ Catania Dept Biol Geol & Environm Sci Via Androne 81 I-95124 Catania Ital

Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ecological groups. This global dataset contains 10,840 sites, with 184 species, from 60 countries and all continents except Antarctica. The data were obtained from 182 published articles, published between 1973 and 2017, and 17 unpublished datasets. Amalgamating data into a single global database will assist researchers in investigating and answering a wide variety of pressing questions, for example, jointly assessing aboveground and belowground biodiversity distributions and drivers of biodiversity change.

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Model Predictive control for Visual Servo Steering of Nonholonomic Mobile Robots 11

Model Predictive Control for Visual Servo Steering of Nonhol...

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11th World Congress on Intelligent control and Automation

作者： Deng, Jun Li, Zhijun South China Univ Technol Coll Automat Sci & Engn Key Lab Autonomous Syst & Network Control Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781479958252

In this paper, model predictive controller for the visual servo steering of a mobile robot in polar coordinate is presented. Firstly, a kinematic predictive steering controller utilized to generate the command of velocity is introduced. Then, a dynamic predictive controller is designed to steer the system. The model predictive control (MPC) can deal with the constraints easily and it can be iteratively formulated as a quadratic programming (QP) problem, which can be solved using neurodynamic optimization, for example, primal-dual neural network (PDNN), over a finite receding horizon. The applied neurodynamics are globally convergent to the exact optimal solutions of reformulated convex programming problems. Finally, experiment results are provided to illustrate the effectiveness of the MPC scheme.

关键词： Nonholonomic mobile robots Visual servo steering Model predictive control Primal-dual neural networks

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Iterative learning control of an Exoskeleton for Human Upper Limbs 11

Iterative learning Control of an Exoskeleton for Human Upper...

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11th World Congress on Intelligent control and Automation

作者： Zhang, Hongbin Li, Zhijun Su, Chun-Yi South China Univ Tech Coll Automat Sci & Engn Key Lab Autonomous Syst & Network Control Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781479958252

The paper presents iterative learning control of an exoskeleton for human upper limbs to provide forearm movement assistance, which enables a human forearm to track any continuous desired trajectory (or constant setpoint), in the presence of parametric/functional uncertainties, unmodelled dynamics including actuator dynamics, and/or disturbances from the environment. Given desired trajectories of human forearm positions, iterative learning control scheme is to compensate for unknown time-varying periodic disturbances. Using iterative learning and Lyapunov synthesis approaches, the developed controller does not require exact knowledge of muscle model and can be proven to be semiglobally uniformly bounded for the close loop system. The performance of the controller is proven by laboratory tests. The two comparison experiments are conducted to illustrate the effectiveness of the proposed control by track tracking periodic/repeated trajectories.

关键词： Iterative learning exoskeleton time-varying periodic disturbances

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Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM_2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019

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The Lancet Planetary Health 2022年第7期6卷 e586-e600页

作者： Burkart, Katrin Causey, Kate Cohen, Aaron J Wozniak, Sarah S Salvi, Devashri Digvijay Abbafati, Cristiana Adekanmbi, Victor Adsuar, Jose C Ahmadi, Keivan Alahdab, Fares Al-Aly, Ziyad Alipour, Vahid Alvis-Guzman, Nelson Amegah, Adeladza Kofi Andrei, Catalina Liliana Andrei, Tudorel Ansari, Fereshteh Arabloo, Jalal Aremu, Olatunde Aripov, Timur Babaee, Ebrahim Banach, MacIej Barnett, Anthony Bärnighausen, Till Winfried Bedi, Neeraj Behzadifar, Masoud Béjot, Yannick Bennett, Derrick A Bensenor, Isabela M Bernstein, Robert S Bhattacharyya, Krittika Bijani, Ali Biondi, Antonio Bohlouli, Somayeh Breitner, Susanne Brenner, Hermann Butt, Zahid A Cámera, Luis Alberto Cantu-Brito, Carlos Carvalho, Felix Cerin, Ester Chattu, Vijay Kumar Chauhan, Bal Govind Choi, Jee-Young Jasmine Chu, Dinh-Toi Dai, Xiaochen Dandona, Lalit Dandona, Rakhi Daryani, Ahmad Davletov, Kairat De Courten, Barbora Demeke, Feleke Mekonnen Denova-Gutiérrez, Edgar Dharmaratne, Samath Dhamminda Dhimal, Meghnath Diaz, Daniel Djalalinia, Shirin Duncan, Bruce B El Sayed Zaki, Maysaa Eskandarieh, Sharareh Fareed, Mohammad Farzadfar, Farshad Fattahi, Nazir Fazlzadeh, Mehdi Fernandes, Eduarda Filip, Irina Fischer, Florian Foigt, Nataliya A Freitas, Marisa Ghashghaee, Ahmad Gill, Paramjit Singh Ginawi, Ibrahim Abdelmageed Gopalani, Sameer Vali Guo, Yuming Gupta, Rajat Das Habtewold, Tesfa Dejenie Hamadeh, Randah R Hamidi, Samer Hankey, Graeme J Hasanpoor, Edris Hassen, Hamid Yimam Hay, Simon I Heibati, Behzad Hole, Michael K Hossain, Naznin Househ, Mowafa Irvani, Seyed Sina Naghibi Jaafari, Jalil Jakovljevic, Mihajlo Jha, Ravi Prakash Jonas, Jost B Jozwiak, Jacek Jerzy Kasaeian, Amir Kaydi, Neda Khader, Yousef Saleh Khafaie, Morteza Abdullatif Khan, Ejaz Ahmad Khan, Junaid Khan, Md Nuruzzaman Khatab, Khaled Khater, Amir M Kim, Yun Jin Kimokoti, Ruth W Kisa, Adnan Kivimäki, Mika Knibbs, Luke D Kosen, Soewarta Koul, Parvaiz A Koyanagi, Ai Defo, Barthelemy Kuate Kugbey, Nuworza Lauriola, Paolo Lee, Paul H Leili, Mostafa Lewycka, Sonia Li, Shanshan Lim, Lee-Ling Li Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Division of Plastic and Reconstructive Surgery University of Washington Seattle WA United States Research Insights and Innovation Seattle WA United States Health Effects Institute Boston MA United States School of Public Health Boston University Boston MA United States Department of Juridical and Economic Studies La Sapienza University Rome Italy Department of Population Medicine Cardiff University Cardiff United Kingdom Sport Science Department University of Extremadura Badajoz Spain School of Public Health Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center US Department of Veterans Affairs (VA) St Louis MO United States Health Management and Economics Research Center Iran University of Medical Sciences Tehran Iran Department of Health Economics Iran University of Medical Sciences Tehran Iran Preventive Medicine and Public Health Research Center Iran University of Medical Sciences Tehran Iran Pars Advanced and Minimally Invasive Medical Manners Research Center Iran University of Medical Sciences Tehran Iran Department of Community and Family Medicine Iran University of Medical Sciences Tehran Iran Research Group in Hospital Management and Health Policies Universidad de la Costa (University of the Coast) Barranquilla Colombia Research Group in Health Economics University of Cartagena Cartagena Colombia Department of Biomedical Science University of Cape Coast Cape Coast Ghana Cardiology Department Ca

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM_2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM_2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM_2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM_2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM_2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South Am

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Allergic Rhinitis and its Impact on Asthma (ARIA) Phase 4 (2018): Change management in allergic rhinitis and asthma multimorbidity using mobile technology

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JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY 2019年第3期143卷 864-879页

作者： Bousquet, Jean Hellings, Peter W. Agache, Ioana Amat, Flore Annesi-Maesano, Isabella Ansotegui, Ignacio J. Anto, Josep M. Bachert, Claus Bateman, Eric D. Bedbrook, Anna Bennoor, Kazi Bewick, Mickael Bindslev-Jensen, Carsten Bosnic-Anticevich, Sinthia Bosse, Isabelle Brozek, Jan Brussino, Luisa Canonica, Giorgio W. Cardona, Victoria Casale, Thomas Sarabia, Alfonso M. Cepeda Chavannes, Niels H. Cecchi, Lorenzo de Sousa, Jaime Correia Costa, Elisio Cruz, Alvaro A. Czarlewski, Wienczyslawa De Carlo, Giuseppe De Feo, Giulia Demoly, Pascal Devillier, Philippe Dykewicz, Mark S. El-Gamal, Yehia Eller, Esben E. Fonseca, Joao A. Fontaine, Jean-Francois Fokkens, Wytske J. Guzman, Maria-Antonieta Haahtela, Tari Illario, Maddalena Ivancevich, Juan-Carlos Just, Jocelyne Kaidashev, Igor Khaitov, Musa Kalayci, Omer Keil, Thomas Klimek, Ludger Kowalski, Marek L. Kuna, Piotr Kvedariene, Violeta Larenas-Linnemann, Desiree Laune, Daniel Le, Lan T. T. Carlsen, Karin Lodrup Lourenco, Olga Mahboub, Bassam Mair, Alpana Menditto, Enrica Milenkovic, Branislava Morais-Almeida, Mario Mosges, Ralph Mullol, Joaquim Murray, Ruth Naclerio, Robert Namazova-Baranova, Leyla Novellino, Ettore O'Hehir, Robyn E. Ohta, Ken Okamoto, Yoshitaka Okubo, Kimi Onorato, Gabrielle L. Palkonen, Susanna Panzner, Petr Papadopoulos, Nikos G. Park, Hae-Sim Paulino, Ema Pawankar, Ruby Pfaar, Oliver Plavec, Davor Popov, Ted A. Potter, Paul Prokopakis, Emmanuel P. Rottem, Menachem Ryan, Dermot Salimaki, Johanna Samolinski, Boleslaw Sanchez-Borges, Mario Schunemann, Holger J. Sheikh, Aziz Sisul, Juan-Carlos Rajabian-Soderlund, Rojin Sooronbaev, Talant Stellato, Cristiana To, Teresa Todo-Bom, Ana-Maria Tomazic, Peter-Valentin Toppila-Salmi, Sanna Valero, Antonio Valiulis, Arunas Valovirta, Erkka Ventura, Maria-Teresa Wagenmann, Martin Wang, De Yun Wallace, Dana Waserman, Susan Wickman, Magnus Yorgancioglu, Arzu Zhang, Luo Zhong, Nanshan Zidarn, Mihaela Zuberbier, Torsten Bousquet, J. Hellings, P. W. Aberer, W. Agache, I. Akdis, C. A. Akdis, M. Alberti, M. R. Almeida, R. Univ Hosp Montpellier France MACVIA France Fdn Partenariale FMC VIA LR Montpellier France Univ Versailles St Quentin en Yvelines Ageing & Chron Dis Epidemiol & Publ Hlth Approach UMR S 1168 Montigny Bretonneux & Euforea Villejuif France Katholieke Univ Leuven Dept Microbiol & Immunol Clin Immunol Lab Leuven Belgium Transylvania Univ Brasov Brasov Romania INSERM Inst Pierre Louis Epidemiol & Publ Hlth Epidemiol Allerg & Resp Dis Dept Paris France UPMC Sorbonne Univ Med Sch St Antoine Paris France Hosp Quiron Bizkaia Dept Allergy & Immunol Erandio Spain ISGlobal Ctr Res Environm Epidemiol CREAL Barcelona Spain IMIM Hosp Mar Res Inst Barcelona Spain CIBER Epidemiol & Salud Publ CIBERESP Barcelona Spain Univ Pompeu Fabra UPF Barcelona Spain Ghent Univ Hosp ENT Dept Upper Airways Res Lab Ghent Belgium Univ Cape Town Dept Med Rondebosch South Africa Natl Inst Dis Chest & Hosp Dept Resp Med Dhaka Bangladesh iQ4U Consultants London England Odense Univ Hosp Dept Dermatol & Allergy Ctr Odense Res Ctr Anaphylaxis ORCA Odense Denmark Univ Sydney Woolcock Inst Med Res Glebe NSW Australia Woolcock Emphysema Ctr Glebe NSW Australia Local Hlth Dist Glebe NSW Australia McMaster Univ Div Immunol & Allergy Dept Hlth Res Methods Evidence & Impact Dept Med Hamilton ON Canada Univ Torino Dept Med Sci Allergy & Clin Immunol Unit Turin Italy Mauriziano Hosp Turin Italy Humanitas Univ Humanitas Res Hosp Personalized Med Clin Asthma & Allergy Milan Italy Hosp Valle De Hebron Allergy Sect Dept Internal Med Barcelona Spain ARADyAL Spanish Res Network Barcelona Spain Univ S Florida Div Allergy Immunol Tampa FL USA Simon Bolivar Univ Metropolitan Univ Allergy & Immunol Lab Barranquilla Colombia SLaai Soc Latinoamer Alergia Asma & Immunol Barranquilla Colombia Leiden Univ Med Ctr Dept Publ Hlth & Primary Care Leiden Netherlands USL Toscana Ctr SOS Allergol & Clin Immunol Prato Italy Univ Minho Life & Hlth Sci Res Inst ICVS Sch Med Braga Portu

Allergic Rhinitis and its Impact on Asthma (ARIA) has evolved from a guideline by using the best approach to integrated care pathways using mobile technology in patients with allergic rhinitis (AR) and asthma multimorbidity. The proposed next phase of ARIA is change management, with the aim of providing an active and healthy life to patients with rhinitis and to those with asthma multimorbidity across the lifecycle irrespective of their sex or socioeconomic status to reduce health and social inequities incurred by the disease. ARIA has followed the 8-step model of Kotter to assess and implement the effect of rhinitis on asthma multimorbidity and to propose multimorbid guidelines. A second change management strategy is proposed by ARIA Phase 4 to increase self-medication and shared decision making in rhinitis and asthma multimorbidity. An innovation of ARIA has been the development and validation of information technology evidence-based tools (Mobile Airways Sentinel network [MASK]) that can inform patient decisions on the basis of a self-care plan proposed by the health care professional.

关键词： Change management rhinitis asthma Allergic Rhinitis and Its Impact on Asthma

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Stochastic adaptive optimal control of under-actuated robots using neural networks

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NEUROCOMPUTING 2014年 142卷 190-200页

作者： Li, Jing Guo, Xi Li, Zhijun Chen, Weisheng Xidian Univ Sch Math & Stat Xian 710071 Peoples R China Minist Educ Key Lab Autonomous Syst & Network Control Beijing Peoples R China S China Univ Technol Coll Automat Sci & Engn Guangzhou Guangdong Peoples R China

Stochastic adaptive optimal control of robotic manipulators with a passive joint which has neither an actuator nor a brake is investigated. Firstly, the under-actuated system is decomposed into two subsystems with the first n-1 joints subsystem fully actuated while the second one unactuated. Secondly, a reference model for the first subsystem is derived by using the Linear Quadratic Regulator (LQR) optimization approach which guarantees the motion tracking and achieves the minimized moving accelerations. Instead of leaving the unactuated joint dynamics uncontrolled, the reference trajectory for the last joint is designed to indirectly affect the movements such that the desired trajectory can be achieved. Radial Basis Function neural networks (RBFNNs) have been employed to design the adaptive reference control and to construct a reference trajectory generator for the last joint. The stability and the optimal tracking performance in finite time have been rigorously established by theoretic analysis. Simulation studies show the effectiveness of the proposed control approach. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Under-actuated robots Stochastic control LQR Model reference control RBFNN

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Oil Spills Boundary Tracking Using Universal Kriging And Model Predictive control By UAV 11

Oil Spills Boundary Tracking Using Universal Kriging And Mod...

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11th World Congress on Intelligent control and Automation

作者： Zhang, Cheng Pei, Hailong South China Univ Technol Key Lab Autonomous Syst & Network Control Minist Educ Guangzhou 510640 Guangdong Peoples R China SOA Key Lab Technol Safeguarding Marine Rights & Inte Guangzhou 510310 Guangdong Peoples R China

ISBN: (纸本)9781479958252

In this paper, Universal Kriging (UK) technology combined with Model Predictive control (MPC) algorithm is exploited to estimate the unknown situation of oil dispersion for just one unmanned aerial vehicle (UAV) to predict and track the objective boundary automatically. The advantage of the Kriging method is that it is an optimal interpolator in the sense that the estimates are unbiased and the minimum variance is known, so that it can relatively accurately construct the environment map. In addition, the advantage of the MPC is its constraint handling capacity. These two uncorrelated technologies, however, can be combined to realize some special functions. The simulation based on an advection diffusion equation demonstrates the proposed method is feasible and effective.

关键词： Oil spill Universal Kriging(UK) Model Predictive control(MPC) Unmanned Aerial Vehicle (UAV)

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Adaptive sliding-mode control for two-wheeled inverted pendulum vehicle based on zero-dynamics theory

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NONLINEAR DYNAMICS 2014年第1期76卷 459-471页

作者： Yue, Ming Wei, Xing Li, Zhijun Dalian Univ Technol Sch Automot Engn Dalian 116024 Peoples R China S China Univ Technol Coll Automat Sci & Engn Key Lab Autonomous Syst & Network Control Guangzhou 510641 Peoples R China Zhejiang Univ State Key Lab Fluid Power Transmiss & Control Hangzhou 310027 Peoples R China Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA

The two-wheeled inverted pendulum vehicle yields wide application prospects due to its compact construction, convenient operation, high maneuverability, and low fuel consumption. However, influenced by the underactuated characteristic, it is very difficult to achieve satisfactory control performances besides holding the vehicle body to be stable. In this study, based on the nonlinear dynamic model, the overall system is considered as three subsystems: rotational motion, longitudinal motion, and zero dynamics. Particularly, the tilt angle of the vehicle is treated as zero dynamics where the longitudinal acceleration is taken as the control input. With the control effects, the zero-dynamics subsystem could come up to be stable. Based upon the zero dynamics, the controllers for rotational and longitudinal subsystems are constructed in the following. In addition, the sliding-mode control techniques are used to derive the controllers since their insensitive characteristic to parameter variation and disturbance rejection.

关键词： Two wheeled vehicle Inverted pendulum Zero dynamics Sliding mode control

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Decentralized control of Multiple Cooperative Manipulators with Impedance Interaction Using Fuzzy systems

Decentralized Control of Multiple Cooperative Manipulators w...

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IEEE International Conference on Information and Automation (ICIA)

作者： Li, Zhijun Deng, Shuming Su, Chun-Yi Chai, Tianyou Yang, Chenguang Fu, Jun S China Univ Technol Coll Automat Sci & Engn Key Lab Autonomous Syst & Network Control Guangzhou 510641 Guangdong Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang Peoples R China

ISBN: (纸本)9781479941001

In this paper, a decentralized adaptive fuzzy control scheme has been developed for two robotic manipulators that collaboratively moves an object with impedance interaction in the presence of dynamics uncertainties and unknown external disturbances. By modelling the contact forces using gradients of nonlinear potentials, we obtain the deformations of the contact surface by impedance approach. By regarding the cooperating manipulators as an aggregation of subsystems, we develop the decentralized local dynamics coupled with physical interactions. Then, we construct a decentralized fuzzy control combing parameter adaptations and disturbance observer. To test the developed control, experiments are carried out on two robots. The experimental results verify the effectiveness of the proposed control.

关键词： Force Manipulator dynamics Robot kinematics Surface impedance Vectors

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