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Correction to: Correlation of CSF flow using phase-contrast MRI with ventriculomegaly and CSF opening pressure in mucopolysaccharidoses

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Fluids and barriers of the CNS 2017年第1期14卷 28页

作者： Amauri Dalla Corte Carolina F M de Souza Maurício Anés Fabio K Maeda Armelle Lokossou Leonardo M Vedolin Maria Gabriela Longo Monica M Ferreira Solanger G P Perrone Olivier Balédent Roberto Giugliani Post-Graduate Program in Medical Sciences Universidade Federal do Rio Grande do Sul Porto Alegre Brazil. dalacorte@***. Medical Genetics Service Hospital de Clínicas de Porto Alegre Rua Ramiro Barcelos 2350 Porto Alegre RS 90035‑903 Brazil. dalacorte@***. Medical Genetics Service Hospital de Clínicas de Porto Alegre Rua Ramiro Barcelos 2350 Porto Alegre RS 90035‑903 Brazil. Medical Physics and Radioprotection Service Hospital de Clínicas de Porto Alegre Porto Alegre Brazil. Clinical Engineering Santa Casa de Misericórdia de Porto Alegre Porto Alegre Brazil. Image Processing Unit Amiens University Hospital Amiens France. Department of Neuroradiology DASA Group São Paulo Brazil. Department of Radiology Massachusetts General Hospital Boston USA. Anesthesiology Service Hospital de Clínicas de Porto Alegre Porto Alegre Brazil. Post-Graduate Program in Medical Sciences Universidade Federal do Rio Grande do Sul Porto Alegre Brazil.

After publication of the article [1], it has been brought to our attention that the full funding acknowledgement is missing from the original article.

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Analysis of the resonant behavior of FSS using matryoshka geometry

Analysis of the resonant behavior of FSS using matryoshka ge...

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SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics (IMOC)

作者： Alfrêdo Gomes Neto Jefferson C. e Silva Joabson Nogueira de Carvalho Josiel Do Nascimento Cruz Hillner De Paiva Almeida Ferreira Group of Telecom. and Applied Electromagnetism Federal Inst. of Educ. Science and Technology of Paraiba Joao Pessoa PB Brazil Post-Graduate Program in Electrical Engineering Federal University of Campina Grande Brazi Brazil Group of Telecom. and Applied Electromagnetism Federal Inst. of Educ. Science and Technology of Paraíba Brazil Post-Graduate Program in Electrical Engineering Universidade Federal de Campina Grande Campina Grande PB BR

ISBN: (纸本)9781467394932

In this paper the resonant behavior of frequency selective surfaces, FSS, using matryoshka geometry is analyzed considering polarizations x and y. The basics of the FSS using matryoshka geometry are described for usual and open cases, including an expression to estimate the first resonant frequency. Initially, the FSS with two concentric square rings is considered and its resonant behavior analyzed. Then, the resonant behavior of FSS with two rings matryoshka geometry is examined. The analysis is based on the electric current distribution obtained using the commercial software ANSYS-Designer. With a better understanding of the resonance nature in matryoshka geometry the design parameters can be better adjusted and desired frequency responses properly achieved.

关键词： Frequency selective surfaces Geometry Resonant frequency Current Frequency response Europe

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Traditional TCP congestion control algorithms evaluation in wired-cum-wireless networks

Traditional TCP congestion control algorithms evaluation in ...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： M. C. Dias L. A. Caldeira A. Perkusich Post-graduate Program in Electrical Engineering - PpgEE - COPELE Federal University of Campina Grande - UFCG Campina Grande Brazil Electrical Engineering Coordination Federal Institute of Education Science and Technology of Paraíba - IFPB João Pessoa Brazil

Congestion control algorithms exist for decades to prevent package loss in intense traffic networks. Several solutions developed over the years tried to solve this problem, including the creation of new algorithms. However, hybrid wired and wireless networks, or wired-cum-wireless, common in modern days, bring new challenges to programmers and engineers who try to overcome the numerous new problems that this kind of network presents. This work carries out a performance comparison, in a wired-cum-wireless network, using TCP congestion control algorithms variants: New Reno and CUBIC. The comparison is to determine which of those algorithms performs better in several situations, like multiple disconnections caused by mobility, interference and congested links. The results showed that the CUBIC is a more stable and fair algorithm, but it has a significantly less data flow than New Reno.

关键词： Standards Interference Receivers Mobile handsets Transmitters Wireless communication Algorithm design and analysis

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An automatic voltage disturbance classification system based on Clonal Selection Algorithm

An automatic voltage disturbance classification system based...

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IEEE Instrumentation and Measurement Technology Conference

作者： Bruno Willian de Souza Arruda Raimundo Carlos Silvério Freire Cleonilson Protásio de Souza Post-Graduate Program in Electrical Engineering - PPgEE - COPELE Federal University of Campina Grande - UFCG Campina Grande Paraíba Brazil Department of Electrical Engineering Federal University of Paraíba João Pessoa Paraíba Brazil

ISBN: (纸本)9781479961153

Classification of voltage disturbances in power systems is essential for modern society and can be very demanding according to the used method or the aimed accuracy. This paper presents a new intelligent approach aimed to automatically analyse power quality disturbances including sag, swell, outage, harmonics and normal waveform. The approach is based on Artificial Immune System and focuses on the application of a Clonal Selection Algorithm to extract features from disturbance waveforms and classify the disturbances in each 0.5 cycle of the fundamental frequency. Other important feature of the proposed approach is that it can be embedded since the resulted on-line classification tool achieves very low computational complexity. Comparisons and experimental results obtained from the application of the proposed method validate the approach and achieved a classification accuracy at least better than previous work.

关键词： Histograms Immune system Power quality Harmonic analysis Cloning Adaptive systems Computational complexity

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Estimate and Control Position Autonomous Underwater Vehicle Based on Determined Trajectory using Fuzzy Kalman Filter Method

Estimate and Control Position Autonomous Underwater Vehicle ...

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International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation

作者： Zunif Ermayanti Erna Apriliani Hendro Nurhadi Teguh Herlambang Mathematics Department of Institut Teknologi Sepuluh Nopember Surabaya Indonesia Mechanical Engineering of Institut Teknologi Sepuluh Nopember Surabaya Indonesia Post Graduate Program in Marine Technologi of Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781467373470

Unmanned Underwater Vehicle (UUV), known as underwater drones, are any vehicle that are able to operate underwater without human occupant. AUV (Autonomous Underwater Vehicle) are one of categories of these vehicles which operate independently of direct human input. This AUV is required to have a navigation system that can manoeuvred 6 Degree of Freedom (DOF) and able to estimate the exact position based on the determined trajectory. Fuzzy Kalman Filter (FKF) method is used to estimate the position of the AUV. This process is used to maintain the accuracy of the trajectory. The performance of FKF algorithm on some several trajectory cases show that this method has relatively small Root Means Square Error (RSME), which is less than 10%.

关键词： AUV estimation Fuzzy Kalman Filter

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Hybrid multilevel inverter system for Open-End Winding (OEW) induction motor drive based on Double-Star Chopper-Cells (DSCC) converter

Hybrid multilevel inverter system for Open-End Winding (OEW)...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Italo Roger F. M. P. da Silva Cursino B. Jacobina Alexandre C. Oliveira Gregory A. de Almeida Carlos Maurício B. de R. Corrîa Post-graduate Program in Electrical Engineering PPgEE/COPELE Department of Electrical Engineering (DEE) Federal University of Campina Grande (UFCG) Campina Grande PB Brazil Department of Control and Industrial Process Federal Institute of Alagoas (IFAL) Palmeira dos Indios AL Brazil

ISBN: (纸本)9781479967360

This paper proposes a hybrid multilevel topology for Open-End stator Winding (OEW) induction motor drive based on Modular Multilevel Cascade Inverter (MMCI) with Double-Star Chopper-Cells (DSCC) and 2-Level Voltage Source Inverter (2L-VSI). An efficient Voltage Reference Technique is proposed to generate the pole voltages of both inverters. As a result, the DSCC inverter is commanded in high-switching frequency, while the 2L-VSI operates at the fundamental frequency. A voltage-balancing control of the floating DC capacitors of the DSCC is presented to ensure the energy balance. At last, to investigate the proposed system and control strategy, experimental results are presented.

关键词： Voltage control Inverters Induction motors Topology Capacitors Inductors Logic gates

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Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis (vol 50, pg 1368, 2020)

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PSYCHOLOGICAL MEDICINE 2020年第16期50卷 2816-2816页

作者： Wu, Yin Levis, Brooke Riehm, Kira E. Saadat, Nazanin Levis, Alexander W. Azar, Marleine Rice, Danielle B. Boruff, Jill Cuijpers, Pim Gilbody, Simon Ioannidis, John P. A. Kloda, Lorie A. McMillan, Dean Patten, Scott B. Shrier, Ian Ziegelstein, Roy C. Akena, Dickens H. Arroll, Bruce Ayalon, Liat Baradaran, Hamid R. Baron, Murray Bombardier, Charles H. Butterworth, Peter Carter, Gregory Chagas, Marcos H. Chan, Juliana C. N. Cholera, Rushina Conwell, Yeates de Manvan Ginkel, Janneke M. Fann, Jesse R. Fischer, Felix H. Fung, Daniel Gelaye, Bizu Goodyear-Smith, Felicity Greeno, Catherine G. Hall, Brian J. Harrison, Patricia A. Harter, Martin Hegerl, Ulrich Hides, Leanne Hobfoll, Stevan E. Hudson, Marie Hyphantis, Thomas Inagaki, Masatoshi Jette, Nathalie Khamseh, Mohammad E. Kiely, Kim M. Kwan, Yunxin Lamers, Femke Liu, Shen-Ing Lotrakul, Manote Loureiro, Sonia R. Lowe, Bernd McGuire, Anthony Mohd-Sidik, Sherina Munhoz, Tiago N. Muramatsu, Kumiko Osorio, Flavia L. Patel, Vikram Pence, Brian W. Persoons, Philippe Picardi, Angelo Reuter, Katrin Rooney, Alasdair G. Santos, Ina S. Shaaban, Juwita Sidebottom, Abbey Simning, Adam Stafford, Lesley Sung, Sharon Tan, Pei Lin Lynnette Turner, Alyna van Weert, Henk C. White, Jennifer Whooley, Mary A. Winkley, Kirsty Yamada, Mitsuhiko Benedetti, Andrea Thombs, Brett D. [a1]Lady Davis Institute for Medical Research Jewish General Hospital Montréal Québec Canada [a2]Department of Psychiatry McGill University Montréal Québec Canada [a3]Department of Epidemiology Biostatistics and Occupational Health McGill University Montréal Québec Canada [a4]Department of Psychology McGill University Montréal Québec Canada [a5]Schulich Library of Physical Sciences Life Sciences and Engineering McGill University Montreal Quebec Canada [a6]Department of Clinical Neuro and Developmental Psychology Amsterdam Public Health Research Institute Vrije Universiteit Amsterdam the Netherlands [a7]Hull York Medical School and the Department of Health Sciences University of York Heslington York UK [a8]Department of Medicine Department of Health Research and Policy Department of Biomedical Data Science Department of Statistics Stanford University Stanford California USA [a9]Library Concordia University Montréal Québec Canada [a10]Department of Community Health Sciences University of Calgary Calgary Alberta Canada [a11]Hotchkiss Brain Institute and O’Brien Institute for Public Health University of Calgary Calgary Alberta Canada [a12]Department of Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA [a13]Department of Psychiatry Makerere University College of Health Sciences Kampala Uganda [a14]Department of General Practice and Primary Health Care University of Auckland Auckland New Zealand [a15]Louis and Gabi Weisfeld School of Social Work Bar Ilan University Ramat Gan Israel [a16]Endocrine Research Center Institute of Endocrinology and Metabolism Iran University of Medical Sciences Tehran Iran [a17]Ageing Clinical & Experimental Research Team Institute of Applied Health Sciences School of Medicine Medical Sciences and Nutrition University of Aberdeen Aberdeen Scotland UK [a18]Department of Medicine McGill University Montréal Québec Canada [a19]Department of Rehabilitation Medicine University of Washington S

BackgroundItem 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and *** conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic ***16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).ConclusionsPHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

关键词： Depression diagnostic accuracy individual participant data meta-analysis meta-analysis PHQ-8 PHQ-9 screening systematic review

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Seawater Intrusion Modeling on Groundwater Confined Aquifer in Semarang

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Procedia Environmental Sciences 2015年 23卷 110-115页

作者： Edy Suhartono P. Purwanto S. Suripin Doctorate Program Of Environmental Studies Post Graduate Program Diponegoro University Jl. Imam Barjo SH No. 5 Semarang-Indonesia-50000 Polytechnic State Of Semarang Jl. Prof.Sudarto SH Semarang - Indonesia- 50000 Department Of Chemical Engineering Faculty Of Engineering Diponegoro University Jl. Prof.Sudarto SH Semarang – Indonesia- 50000 Department Of Civil Engineering Faculty Of Engineering Diponegoro University Jl. Prof.Sudarto SH Semarang – Indonesia- 50000

The focus of this study is to identify and describe of a seawater intrusion in confined aquifer modelling in Semarang with a descriptive quantitative analytical method. The results showed potentially experiencing seawater intrusion which increased of 0.575 km2/years. Seawater intrusion models divide to 3 models are the western route have a maximum error is 27.9%, then the middle route have the maximum error is 41.1% and the eastern route have the maximum error is 40%. In 2035, the seawater intrusion on western route is predicted about 3.0 km from the coastline, 4 km for middle route, and about 3.25 km for eastern route. This is one of the information that from right now, the management of a groundwater in the confined aquifer in Semarang is necessary to supervise and better and more optimal controlling

关键词： Coastal Areas Groundwater Chloride Seawater Intrusions

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Automated accessibility evaluation software for authenticated environments: A heuristic usability evaluation

Automated accessibility evaluation software for authenticate...

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8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014

作者： Pivetta, Elisa Maria Saito, Daniela Satomi Da Silva Flor, Carla Ulbricht, Vania Ribas Vanzin, Tarcísio Post-graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Florianópolis SC Brazil

ISBN: (纸本)9783319075082

Web accessibility has been the subject of much discussion regarding the need to make Web content accessible to all people, regardless of their abilities or disabilities. While some testing techniques require human intervention, accessibility can also be evaluated by automated tools. Automated evaluation tools are software programs that examine the code of Web pages to determine if they conform to a set of accessibility guidelines that are often based on the Web Content Accessibility Guidelines Version 2.0 (WCAG 2.0), developed by the World Wide Web Consortium (W3C). In this context, the purpose of this study is to analyze an automated software program for evaluating authenticated environments and verify the usability of this tool, since automated systems require precision and reliability in terms of both results and use in any type of environment. With this in mind, this paper aimed at evaluating the ASES software by means of a heuristic evaluation carried out by three experts. The analysis revealed major accessibility problems, as well as improper functioning of available tools and inconsistency of results. Furthermore, ASES was found to have problems of efficiency, interaction, validity, and reliability in the results presented. Considering that this is an open-source accessibility testing tool that can be found on a government web site, the correction or improvement of the system's deficiencies identified in this study is highly recommended, as there is a lack of software available to evaluate authenticated environments. © 2014 Springer International Publishing.

关键词： Websites

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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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