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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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A comparative study of two data reduction methods for steel classification based on LIBS

A comparative study of two data reduction methods for steel ...

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International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014

作者： Kong, Hai Yang Sun, Lan Xiang Hu, Jing Tao Xin, Yong Cong, Zhi Bo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China CAS Key Laboratory of Networked Control System Shenyang China

ISBN: (纸本)9783038352464

Spectra of 27 steel samples were acquired by Laser-Induced Breakdown Spectroscopy (LIBS) for steel classification. Two methods were used to reduce dimensions: the first is to select characteristic lines of elements contained in the samples manually and the second is to do principal component analysis (PCA) of original spectra. Then the data after reducing dimensions was used as the input of artificial neural networks (ANN) to classify steel samples. The results show that, the better result can be achieved by selecting peak lines manually, but this solution needs much priori knowledge and wastes much time. The principal components (PCs) of original spectra were utilized as the input of artificial neural networks can also attain a good result nevertheless and this method can be developed into an automatic solution without any priori knowledge. © (2014) Trans Tech Publications, Switzerland.

关键词： Neural networks

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Obstacle avoidance path planning for six-DOF manipulator based on voronoi diagram

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Journal of Information and Computational Science 2014年第18期11卷 6663-6671页

作者： Zhang, Guansheng Zhang, Qinghua Zhang, Yi Research Center of Intelligent System and Robot Chongqing University of Posts and Telecommunications Chongqing China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing China School of Mathematics and Physics Chongqing University of Posts and Telecommunications Chongqing China

In order to solve obstacle avoidance for manipulator in static environment, a method of obstacle avoidance path planning for six-DOF manipulator based on the Configuration space (C-space) and Voronoi diagram is proposed in this paper. Obstacles in the workspace are mapped to the C-space at first. Several Voronoi cells are chosen from the obstacles and the path map based on Voronoi diagram in the C-space is generated, then the obstacle avoidance path planning from the starting point to the target point is completed. Finally, the experiment results show that compare to obstacle avoidance path planning for manipulator based on A* algorithm, this method has lower search cost and ensures manipulator keep a greater distance with obstacles.

关键词： Motion planning

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Quantitative analysis of steels using PLS with three data reduction methods based on LIBS

Quantitative analysis of steels using PLS with three data re...

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3rd International Conference on Chemical Engineering, Metallurgical Engineering and Metallic Materials, CMMM 2014

作者： Kong, Hai Yang Sun, Lan Xiang Hu, Jing Tao Xin, Yong Cong, Zhi Bo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China University of Chinese Academy of Sciences Beijing 100049 China CAS Key Laboratory of Networked Control System Shenyang 110016 China

ISBN: (纸本)9783038351900

Three methods, selecting characteristic lines of elements contained in the samples manually, selecting intensive spectral partitions manually and the whole spectra, were used to reduce dimensions of spectra of 27 steel samples acquired by Laser-Induced Breakdown Spectroscopy. The PLS models were built based on the data after dimension reduction to quantify the Mn concentration of samples. The results show that, PLS model built based on selecting intensive spectral partitions can achieve the best result with the least complexity and the highest generalization ability. Selecting intensive partitions is a promising solution to reduce dimensions for original spectra. © (2014) Trans Tech Publications, Switzerland.

关键词： Least squares approximations

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Resource allocation scheme based on neural network and group search optimization in cloud environment

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Ruan Jian Xue Bao/Journal of Software 2014年第8期25卷 1858-1873页

作者： Sun, Jia-Jia Wang, Xing-Wei Gao, Cheng-Xi Huang, Min College of Information Science and Engineering Northeastern University Shenyang110819 China Key Laboratory of Networked Control System The Chinese Academy of Sciences Shenyang110016 China

In cloud environment, all kinds of idle resources can be pooled to establish a resource pool, and different kinds of resources can be combined as a service to the users through virtualization. Therefore, an effective scheme is necessary for managing and allocating the resources. In this paper, economic and intelligent methods are employed to form an intelligent resource allocation scheme based on double combinatorial auction with respect to the characteristics of resources in cloud environment. In the proposed scheme, a reputation system on the basis of quality of experience (QoE) is devised, and the reputation attenuation coefficient and the user credit degree are introduced to decrease the negative effects of malicious behaviors on resource auctions, providing QoE support to resource dealing. In order to determine bidding price rationally, a bidding price decision mechanism based on back propagation (BP) neural network is presented to comprehensively consider various influence factors to make price adapt to the fluctuating market. Finally, due to the fact that the problem of winner determination in combinatorial auction is NP-complete, a group search optimization algorithm is adopted to find the specific resource allocation solution with market surplus and total reputation optimized. Simulation studies are conducted to demonstrate the feasibility and effectiveness of the proposed scheme. © Copyright 2014, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

关键词： Resource allocation

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Parameter optimization of hydro turbine governor PID controller by chaotic improved PSO algorithm

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Energy Education Science and Technology Part A: Energy Science and Research 2014年第5期32卷 3949-3962页

作者： Chen, Gonggui Du, Yangwei Song, Peizhu Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Wireless Network and Networked Control of Ministry of Education Chongqing China Chongqing University of Posts and Telecommunications Research Center on Complex Power System Analysis and Control Chongqing China Hubei Minzu University Dept. of Electrical Engineering Enshi China Hubei Energy Group Qiyueshan Wind Power Co Ltd Lichuan China

For overcoming the disadvantages of easily falling into local extremum and easily losing species diversity in traditional particle swarm optimization (PSO) algorithm, a cross improved PSO (IPSO) algorithm is proposed. In addition, in order to enhance the exploitation capacity of IPSO algorithm, it also makes use of chaotic sequence features which is called chaotic IPSO (CIPSO) algorithm. In present paper, mathematical structure model of hydro turbine governor is established, and the integral of absolute value of error as the minimum objective function is adopted to select particles. In order to obtain satisfactory transient dynamic characteristics in process of tuning of PID parameters, the square of output signal after PID tuning and the rise time are proposed to integrate into the augmented objective function, and in order to minimize overshoot to the greatest extent, the penalty mechanism is concerned. These algorithms are performed for optimized designs of governor PID parameters on hydro turbine. Several specific working conditions are modeled and CIPSO algorithm results are compared with those in PSO and IPSO algorithms. It comes out that the CIPSO algorithm has made some improvements whether in convergent speed or convergent accuracy in comparing with other two algorithms. © Sila Science. All rights reserved.

关键词： Governors

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An identification procedure for UAV's inner loop modeling 33

An identification procedure for UAV's inner loop modeling

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Liu, Zun Pei, Hai-Long Zhao, Song-Tao Gao-Xiang, Deng Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology Guangzhou510640 China

ISBN: (纸本)9789881563842

This paper establishes a mathematical model for UAV's inner loop, then based on this model an identification strategy based on CIFER is presented. At the first hand, A subsection procedure is done to obtain the initial value both for the CIFER method and the method this paper will present, then through several iterations between the uncoupled parameters and coupled parameters, the latter are acquired and optimized. At last, by comparison And analysis upon both methods' results, the feasibility and rationality of this method is proved. The result of this paper has laid a solid foundation For inner attitude controller design and identification for the velocity loop of UAVs. © 2014 TCCT, CAA.

关键词： Unmanned aerial vehicles (UAV)

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Object tracking based on particle filter with discriminative features

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控制理论与应用（英文版） 2013年第1期11卷 42-53页

作者： Yunji ZHAO Hailong PEI Key Laboratory of Autonomous Systems and Networked Control (Ministry of Education) South China University of Technology

This paper presents a particle filter-based visual tracking method with online feature selection mechanism. In color-based particle filter algorithm the weights of particles do not always represent the importance correctly, this may cause that the object tracking based on particle filter converge to a local region of the object. In our proposed visual tracking method, the Bhattacharyya distance and the local discrimination between the object and background are used to define the weights of the particles, which can solve the existing local convergence problem. Experiments demonstrates that the proposed method can work well not only in single object tracking processes but also in multiple similar objects tracking processes.

关键词： Histogram of oriented gradients Local discrimination Particle filter Multiple object tracking

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Apply signum-activated WASD neuronet to learning XOR logic via noisy input and output data

Apply signum-activated WASD neuronet to learning XOR logic v...

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International Workshop on Advanced Computational Intelligence (IWACI)

作者： Chengxu Ye Weixiang Ding Jianhao Deng Binghuang Cai Yunong Zhang School of Computer Science Qinghai Normal University Xining China School of Information Science and Technology Sun Yat-sen University (SYSU) Guangzhou China SYSU-CMU Shunde International Joint Research Institute Shunde China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou China School of Software Sun Yat-sen University Guangzhou China School of Medicine University of Pittsburgh Pitts-burgh PA USA Sun Yat-Sen University Guangzhou Guangdong CN

In this paper, a novel signum-activated weights-and-structure-determination neuronet (SAWASDN) is proposed, investigated and tested. Being different from the past WASD neuronet, the proposed SAWASDN employs discontinuous functions as its activation functions. In addition, we can determine the optimal weights directly and the optimal neuronet structure automatically by the WASD method. Finally, numerical experiments of learning and testing XOR logic via noisy input and output data are conducted, with Gaussian noise and with uniform noise added. Numerical results substantiate the feasibility, efficacy and robustness of the SAWASDN.

关键词： Robustness Noise

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Velocity control system with variable universe adaptive fuzzy-PD method for agricultural vehicles

Velocity control system with variable universe adaptive fuzz...

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World Congress on Intelligent control and Automation (WCICA)

作者： Na Guo Jingtao Hu Shenyang Institute of Automation Chinese Academy of Science Shenyang China Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang China

The velocity of agricultural vehicle is an important variable for the navigation system and variable rate applicator in precision agriculture, and the stable velocity in the filed improves the control accuracy of those systems. After analyzed the powertrain system of agricultural vehicles, a simple and general velocity control system was designed regardless of the structure of powertrain. Meanwhile, this system can be adapted without damage the vehicle's original mechanical structure, and cooperate with the precision agriculture application via the CAN bus. The variable universe method and incomplete derivation control strategy were introduced in the designed of fuzzy-PD controller to improve the adaptability. The road test was accomplished on LOVOL TA800 tractor and YAMMAR VP6 rice transplanter. The test results show that the mean absolute error is less than 0.045 m/s, and the velocity control system is reliable and effective.

关键词： Vehicles Agricultural machinery Engines Velocity control Gears Niobium Mechanical power transmission

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