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Aeroelastic Modeling of a Flexible Hybrid FMAV for 3D Controlled Flight
, M.Sc. Thesis Sharif University of Technology ; Pourtakdoust, Hossein (Supervisor)
Abstract
Propulsive efficiency of flapping wings is optimized via a combination of flapping and elastic wing behavior. In this thesis, a complex complete model of flapping air vehicles (FAV) is developed in order to simulate the wing aeroelastic behavior. The resulting model is in the form of a complex set of partial differential equations whose solution is only numerically possible. Using the resulting simulation model, the different flapping behavior of the right and left wings can also be evaluated along with the resulting forces and moments that make the FAV flight realizable. One of the key flight conditions considered in many simulations is that of cruise flight. In order to have a...
Multi-Location Project Management Using Cloud Computing
, M.Sc. Thesis Sharif University of Technology ; Houshmand, Mahmoud (Supervisor)
Abstract
This research discusses the issue of exploitation of cloud computing in facilitating the responsibilities of a project manager in construction project management. The need for reliable and affordable technologies is ever more important in today's business world due to the amount of economic contraction and losses that take place every day; cloud computing fills this gap. For this purpose, we are presenting a cloud-based Project Management Software named Field wire that is specially designed to manage construction projects in the cloud computing environment. The various procedures of a project, due to their complex nature, are largely made up of tasks which cannot be carried out by one...
Sliding mode control with online fuzzy tuning: Application to a robot manipulator
, Article IEEE International Conference on Mechatronics and Automation, ICMA 2005, Niagara Falls, ON, 29 July 2005 through 1 August 2005 ; 2005 , Pages 1357-1362 ; 0780390458 (ISBN); 9780780390454 (ISBN) ; Vossoughi, G. R ; Sharif University of Technology
2005
Abstract
This paper presents an approach to improve the sliding mode controller performance. Accordingly, a fuzzy controller is designed based on a limited number of rules and independent of the sliding mode controller complexity. To enhance the performance, this controller will continuously optimize the sliding mode controller parameters including hitting control gain, boundary layer thickness, sliding surface slope and intercept. The controller is applied to a two-degree-of-freedom robot and the experimental results are compared with a QFT based and a PID controller. The results demonstrate the significant performance improvement of the proposed controller. © 2005 IEEE
The Impact of Watermarking on Digital Video Bitrate
, M.Sc. Thesis Sharif University of Technology ; Ghanbari, Mohammad (Supervisor)
Abstract
Nowadays with development of applications that stream video over internet, compression efficiency of video has become very important. On the other hand, Watermarking and video coding are two conflicting technologies. One adds redundancy and other tries to remove it. We have proposed a H.264 watermarking method that does not increases the bit rate. Unlike most of watermarking schemes, this methods embeds the watermark in inter coded frames. Abundance of these frames in video is impressively more than intra frames, so a lot of capacityis eventuated. But these frames are highly compressed using motion compensation, and are very sparse. To avoid from bit rate increment, this method only embeds...
Sparse Representation with Application to Image Inpainting
, M.Sc. Thesis Sharif University of Technology ; Marvasti, Farrokh (Supervisor)
Abstract
The emerging field of compressed sensing has found wide-spread applications in signal processing. Exploiting the sparsity of natural image signals on basis of a set of atoms called dictionary, one can find numerous examples for applications of compressed sensing in the field of image processing. One of these interesting applications is to help recover missing samples of a damaged or lossy image signal which is also known as image inpainting. There are dozens of reasons why an image may get damaged, for instance, during data transmission, some blocks of an image (or frames of a video ) may get lost due to error in the telecommunication channel (this is known as block-loss). In this case image...
Sparse recovery of missing image samples using a convex similarity index
, Article Signal Processing ; Volume 152 , 2018 , Pages 90-103 ; 01651684 (ISSN) ; Zayyani, H ; Marvasti, F ; Sharif University of Technology
2018
Abstract
This paper investigates the problem of recovering missing samples using methods based on sparse representation adapted for visually enhanced quality of reconstruction of image signals. Although, the popular Mean Square Error (MSE) criterion is convex and simple, it may not be entirely consistent with Human Visual System (HVS). Thus, instead of ℓ2-norm or MSE, a new perceptual quality measure is used as the similarity criterion between the original and the reconstructed images. The proposed criterion called Convex SIMilarity (CSIM) index is a modified version of the Structural SIMilarity (SSIM) index, which despite its predecessor, is convex and uni-modal. We derive mathematical properties...
Experimental parametric study and design of Piano Key Weirs by O. MACHIELS, M. PIROTTON, A. PIERRE, B. DEWALS and S. ERPICUM, J. Hydraulic Res. 52(3), 2014, 326-335
, Article Journal of Hydraulic Research ; Volume 53, Issue 4 , 2015 , Pages 543-545 ; 00221686 (ISSN) ; Parvaneh, A ; Kabiri Samani, A ; Sharif University of Technology
Taylor and Francis Ltd
2015
Over Education and Its Wage Consequences in the Labor Market of Iran
, M.Sc. Thesis Sharif University of Technology ; Keshavarz Haddad, Gholamreza (Supervisor)
Abstract
An increasing important issue faced by Iranian labor market at the current decade is the job positions which have been occupying by workers who are not match for them. Over the recent past years the supply of college educated labor has experienced a significant increase, while the demand side of the market has shrunk because of low economic growth. This study intends to examine intensity of the over-education on the individuals’ wage By making two alternative definitions for overeducaion namely; realized match and job analysis. To this end we use households’ income and expenditure survey for 2001, 2005, 2009 and 2012 in rural and urban areas. Theoretical background is based on the Duncan and...
An experimental evaluation of copper, steel and polypropylene tubes in solar water heaters with thermosyphonic flow
, Article Applied Solar Energy (English translation of Geliotekhnika) ; Volume 45, Issue 1 , 2009 , Pages 65-69 ; 0003701X (ISSN) ; Razavi, J ; Sadeghi, A ; Javaheri, A ; Sharif University of Technology
2009
Abstract
In this paper we report experimental results for the performance and rate of heat transfer in copper tubes in solar water heaters with thermosyphonic flow in continuation of experimental data reported in previous publications (Solar Energy, 2003, vol. 74, pp. 441-445, and Energy Sources, 1997, vol. 19, pp. 147-152). We also show a comparison between performances of three kinds of tubes: copper, polypropylene and steel under similar conditions. An analytical relation for calculation of rate of heat transfer in copper tubes is also presented in terms of Nusselt versus Reynolds and Prantdl numbers. A comparison of experimental data showed that performance of copper tubes is slightly better than...
Rural telecommunications in Iran: A hybrid solution
, Article 1st International Conference on Internet Technologies and Applications, ITA 05, Wrexham, 7 September 2005 through 9 September 2005 ; 2005 , Pages 530-540 ; 0946881324 (ISBN); 9780946881321 (ISBN) ; Arbabian, M. A ; Javaheri, H ; Jalali, A ; Sharif University of Technology
2005
Abstract
The necessity of the development of ICT in rural areas has become a major issue in the developing countries for some time now. Iran, one of the participants of this movement, plans to take some significant short-term steps in this field, steps which will revolve the situation of it's rural ICT extensively. One of the main related issues in Iran is the large number of geographical situations present in rural parts demanding distinct telecommunication solutions. Having studied thoroughly the current situation of rural telecommunication in Iran and also the available and the newly introduced technical solutions, in this article we propose a complete telecommunication plan for rural Iran that...
A robust and invariant keypoint extraction algorithm in brain MR images
, Article Communications in Computer and Information Science ; Vol. 427, issue , Sep , 2014 , p. 121-130 ; 9783319108483 ; Abdollahian, E ; Shirpour, M ; Javaheri, A ; Manzuri, M.T ; Sharif University of Technology
2014
Abstract
In this paper a method for extracting keypoints from human brain MR images is proposed. These keypoints are obtained based on curved structures in the brain MR images. In this method, a keypoint is center of a circle which includes circular boundaries in the image and is selected based on gradients of the image. These keypoints and their descriptors are scale and rotation invariant. The proposed method is compared with other well-known methods with repeatability measure and ROC curves. Experimental results show that proposed method performs better than other well-known methods, specially, when deformations are remarkable
Robust sparse recovery in impulsive noise via continuous mixed norm
, Article IEEE Signal Processing Letters ; Volume 25, Issue 8 , 2018 , Pages 1146-1150 ; 10709908 (ISSN) ; Zayyani, H ; Figueiredo, M. A. T ; Marvasti, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
This letter investigates the problem of sparse signal recovery in the presence of additive impulsive noise. The heavy-tailed impulsive noise is well modeled with stable distributions. Since there is no explicit formula for the probability density function of SαS distribution, alternative approximations are used, such as, generalized Gaussian distribution, which imposes ℓp-norm fidelity on the residual error. In this letter, we exploit a continuous mixed norm (CMN) for robust sparse recovery instead of ℓp-norm. We show that in blind conditions, i.e., in the case where the parameters of the noise distribution are unknown, incorporating CMN can lead to near-optimal recovery. We apply...
Learning Graph-Structured Models from Incomplete Data
, Ph.D. Dissertation Sharif University of Technology ; Marvasti, Farokh (Supervisor) ; Amini, Arash (Supervisor)
Abstract
Graphical models are widely used in signal processing and machine learning, with Graph Signal Processing (GSP) becoming a trending research area. This branch of signal processing focuses on modeling and analyzing signals defined on networked structures. Graphs act as mathematical representations for data across various applications, from social networks to communication, sensor, and brain networks. Effective use of advanced GSP tools requires learning a suitable graph model for data representation. Undirected graphs typically depict similarity or mutual correlation between signal elements, while directed graphs reveal causal or dependency relationships, such as the temporal dependency of one...
Recovery of missing samples using sparse approximation via a convex similarity measure
, Article 2017 12th International Conference on Sampling Theory and Applications, SampTA 2017, 3 July 2017 through 7 July 2017 ; 2017 , Pages 543-547 ; 9781538615652 (ISBN) ; Zayyani, H ; Marvasti, F ; Anbarjafari, G ; Kivinukk, A ; Tamberg, G ; Sharif University of Technology
2017
Abstract
In this paper, we study the missing sample recovery problem using methods based on sparse approximation. In this regard, we investigate the algorithms used for solving the inverse problem associated with the restoration of missed samples of image signal. This problem is also known as inpainting in the context of image processing and for this purpose, we suggest an iterative sparse recovery algorithm based on constrained l1-norm minimization with a new fidelity metric. The proposed metric called Convex SIMilarity (CSIM) index, is a simplified version of the Structural SIMilarity (SSIM) index, which is convex and error-sensitive. The optimization problem incorporating this criterion, is then...
Discussion: Triangular labyrinth side weirs with one and two cycles
, Article Proceedings of the Institution of Civil Engineers: Water Management ; Volume 169, Issue 3 , 2016 , Pages 111-114 ; 17417589 (ISSN) ; Nekooie, M. A ; Sadeghian, H ; Jalili Ghazizade, M. R ; Parvaneh, A ; Yang, J ; Javaheri, A ; Kabiri Samani, A ; Sharif University of Technology
Thomas Telford Services Ltd
2016
Ebhaam at semeval-2023 task 1: a clip-based approach for comparing cross-modality and unimodality in visual word sense disambiguation
, Article 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop ; 2023 , Pages 1960-1964 ; 978-195942999-9 (ISBN) ; Haghighi Naeini, P ; Sadraei Javaheri, M. A ; Gooran, S ; Asgari, E ; Rabiee, H. R ; Sameti, H ; Ojha A. K ; Dogruoz A. S ; Da San Martino G ; Madabushi H. T ; Kumar R ; Sartori E ; Sharif University of Technology
Association for Computational Linguistics
2023
Abstract
This paper presents an approach to tackle the task of Visual Word Sense Disambiguation (Visual-WSD), which involves determining the most appropriate image to represent a given polysemous word in one of its particular senses. The proposed approach leverages the CLIP model, prompt engineering, and text-to-image models such as GLIDE and DALL-E 2 for both image retrieval and generation. To evaluate our approach, we participated in the SemEval 2023 shared task on “Visual Word Sense Disambiguation (Visual-WSD)” using a zero-shot learning setting, where we compared the accuracy of different combinations of tools, including “Simple prompt-based” methods and “Generated prompt-based” methods for...
Sina at semeval-2023 task 4: a class-token attention-based model for human value detection
, Article 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop ; 2023 , Pages 2164-2167 ; 978-195942999-9 (ISBN) ; Sadraei Javaheri, M. A ; Dasgheib, D ; Soleymani Baghshah, M ; Rohban, M. H ; Rabiee, H. R ; Asgari, E ; Ojha A. K ; Dogruoz A. S ; Da San Martino G ; Madabushi H. T ; Kumar R ; Sartori E ; Sharif University of Technology
Association for Computational Linguistics
2023
Abstract
The human values expressed in argumentative texts can provide valuable insights into the culture of a society. They can be helpful in various applications such as value-based profiling and ethical analysis. However, one of the first steps in achieving this goal is to detect the category of human value from an argument accurately. This task is challenging due to the lack of data and the need for philosophical inference. It also can be challenging for humans to classify arguments according to their underlying human values. This paper elaborates on our model for the SemEval 2023 Task 4 on human value detection. We propose a class-token attention-based model and evaluate it against baseline...
The burden of unintentional drowning: Global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study
, Article Injury Prevention ; 2020 ; Peden, A.E ; Hamilton, E.B ; Bisignano, C ; Castle, C.D ; Dingels, Z.V ; Hay, S.I ; Liu, Z ; Mokdad, A.H ; Roberts, N.L.S ; Sylte, D.O ; Vos, T ; Abady, G.G ; Abosetugn, A.E ; Ahmed, R ; Alahdab, F ; Andrei, C.L ; Antonio, C.A.T ; Arabloo, J ; Kinfe Arba, A.A ; Badiye, A.D ; Bakkannavar, S.M ; Banach, M ; Banik, P.C ; Banstola, A ; Barker-Collo, S.L ; Barzegar, A ; Bayati, M ; Bhardwaj, P ; Bhaumik, S ; Bhutta, Z.A ; Bijani, A ; Boloor, A ; Carvalho, F ; Kabir Chowdhury, M.A ; Chu, D.-T ; Colquhoun, S.M ; Dagne, H ; Dagnew, B ; Dandona, L ; Dandona, R ; Daryani, A ; Dharmaratne, S.D ; Dibaji Forooshani, Z.S ; Do, H.T ; Driscoll, T.R ; Eagan, A.W ; El-Khatib, Z ; Fernandes, E ; Filip, I ; Fischer, F ; Gebremichael, B ; Gupta, G ; Haagsma, J.A ; Hassan, S ; Hendrie, D ; Hoang, C.L ; Hole, M.K ; Holla, R ; Hostiuc, S ; Househ, M ; Ilesanmi, O.S ; Inbaraj, L.R ; Naghibi Irvani, S.S ; MofzulIslam, M ; Ivers, R.Q ; Jayatilleke, A.U ; Joukar, F ; Kalhor, R ; Kanchan, T ; Kapoor, N ; Kasaeian, A ; Khan, M ; Khan, E.A ; Khubchandani, J ; Krishan, K ; Anil Kumar, G ; Lauriola, P ; Lopez, A.D ; Madadin, M ; Majdan, M ; Maled, V ; Manaf, N ; Manaf, A ; McKee, M ; Meles, H.G ; Menezes, R.G ; Meretoja, T.J ; Miller, T.R ; Mithra, P ; Mohammadian-Hafshejani, A ; Mohammadpourhodki, R ; Mohebi, F ; Molokhia, M ; Mustafa, G ; Negoi, I ; Nguyen, C.T ; Thi Nguyen, H.L ; Olagunju, A.T ; Olagunju, T.O ; Padubidri, J.R ; Pakshir, K ; Pathak, A ; Polinder, S ; Angga Pribadi, D.R ; Rabiee, N ; Radfar, A ; Rana, S.M ; Rickard, J ; Safari, S ; Salamati, P ; Samy, A.M ; Sarker, A.R ; Schwebel, D.C ; Senthilkumaran, S ; Shaahmadi, F ; Shaikh, M.A ; Shin, J.I ; Singh, P.K ; Soheili, A ; Stokes, M.A ; Rasul Suleria, H.A ; Tarigan, I.U ; Temsah, M.-H ; Tesfay, B.E ; Valdez, P.R ; Veisani, Y ; Ye, P ; Yonemoto, N ; Yu, C ; Yusefzadeh, H ; Zaman, S.B ; Zhang, Z.-J ; James, S.L ; Sharif University of Technology
BMJ Publishing Group
2020
Abstract
Background: Drowning is a leading cause of injury-related mortality globally. Unintentional drowning (International Classification of Diseases (ICD) 10 codes W65-74 and ICD9 E910) is one of the 30 mutually exclusive and collectively exhaustive causes of injury-related mortality in the Global Burden of Disease (GBD) study. This study's objective is to describe unintentional drowning using GBD estimates from 1990 to 2017. Methods: Unintentional drowning from GBD 2017 was estimated for cause-specific mortality and years of life lost (YLLs), age, sex, country, region, Socio-demographic Index (SDI) quintile, and trends from 1990 to 2017. GBD 2017 used standard GBD methods for estimating mortality...
Hearing loss prevalence and years lived with disability, 1990-2019: Findings from the Global Burden of Disease Study 2019
, Article The Lancet ; Volume 397, Issue 10278 , 2021 , Pages 996-1009 ; 01406736 (ISSN) ; Kamenov, K ; Briant, P. S ; Orji, A. U ; Steinmetz, J. D ; Abdoli, A ; Abdollahi, M ; Abu-Gharbieh, E ; Afshin, A ; Ahmed, H ; Rashid, T. A ; Akalu, Y ; Alahdab, F ; Alanezi, F. M ; Alanzi, T. M ; Al Hamad, H ; Ali, L ; Alipour, V ; Al-Raddadi, R. M ; Amu, H ; Arabloo, J ; Arab-Zozani, M ; Arulappan, J ; Ashbaugh, C ; Atnafu, D. D ; Babar, Z. U. D ; Baig, A. A ; Banik, P. C ; Bärnighausen, T. W ; Barrow, A ; Bender, R. G ; Bhagavathula, A. S ; Bhardwaj, N ; Bhardwaj, P ; Bibi, S ; Bijani, A ; Burkart, K ; Cederroth, C. R ; Charan, J ; Choudhari, S. G ; Chu, D. T ; Couto, R. A. S ; Dagnew, A. B ; Dagnew, B ; Dahlawi, S. M. A ; Dai, X ; Dandona, L ; Dandona, R ; Desalew, A ; Dhamnetiya, D ; Dhimal, M. L ; Dhimal, M ; Doyle, K. E ; Duncan, B. B ; Ekholuenetale, M ; Filip, I ; Fischer, F ; Franklin, R. C ; Gaidhane, A. M ; Gaidhane, S ; Gallus, S ; Ghamari, F ; Ghashghaee, A ; Ghozali, G ; Gilani, S.A ; Glǎvan, I. R ; Golechha, M ; Goulart, B. N. G ; Gupta, V. B ; Gupta, V. K ; Hamidi, S ; Hammond, B. R ; Hay, S. I ; Hayat, K ; Heidari, G ; Hoffman, H. J ; Hopf, K. P ; Hosseinzadeh, M ; Househ, M ; Hussain, R ; Hwang, B. F ; Iavicoli, I ; Ibitoye, S. E ; Ilesanmi, O. S ; Irvani, S. S. N ; Islam, S. M. S ; Iwagami, M ; Jacob, L ; Jayapal, S. K ; Jha, R. P ; Jonas, J. B ; Kalhor, R ; Al-Salihi, N. K ; Kandel, H ; Kasa, A. S ; Kayode, G. A ; Khalilov, R ; Khan, E. A ; Khatib, M. N ; Kosen, S ; Koyanagi, A ; Kumar, G. A ; Landires, I ; Lasrado, S ; Lim, S. S ; Liu, X ; Lobo, S. W ; Lugo, A ; Makki, A ; Mendoza, W ; Mersha, A. G ; Mihretie, K. M ; Miller, T. R ; Misra, S ; Mohamed, T. A ; Mohammadi, M ; Mohammadian Hafshejani, A ; Mohammed, A ; Mokdad, A. H ; Moni, M. A ; Kandel, S. N ; Nguyen, H. L. T ; Nixon, M. R ; Noubiap, J. J ; Nuñez Samudio, V ; Oancea, B ; Oguoma, V. M ; Olagunju, A. T ; Olusanya, B. O ; Olusanya, J. O ; Orru, H ; Owolabi, M. O ; Padubidri, J. R ; Pakshir, K ; Pardhan, S ; Kan, F. P ; Pasovic, M ; Pawar, S ; Pham, H. Q ; Pinheiro, M ; Pourshams, A ; Rabiee, N ; Rabiee, M ; Radfar, A ; Rahim, F ; Rahimi Movaghar, V ; Ur Rahman, M. H ; Rahman, M ; Rahmani, A. M ; Rana, J ; Rao, C. R ; Rao, S. J ; Rashedi, V ; Rawaf, D. L ; Rawaf, S ; Renzaho, A. M. N ; Rezapour, A ; Ripon, R. K ; Rodrigues, V ; Rustagi, N ; Saeed, U ; Sahebkar, A ; Samy, A. M ; Santric-Milicevic, M. M ; Sathian, B ; Satpathy, M ; Sawhney, M ; Schlee, W ; Schmidt, M. I ; Seylani, A ; Shaikh, M. A ; Shannawaz, M ; Shiferaw, W. S ; Siabani, S ; Singal, A ; Singh, J. A ; Singh, J. K ; Singhal, D ; Skryabin, V. Y ; Skryabina, A. A ; Sotoudeh, H ; Spurlock, E. E ; Taddele, B. W ; Tamiru, A. T ; Tareque, M. I ; Thapar, R ; Tovani-Palone, M. R ; Tran, B.X ; Ullah, S ; Tahbaz, S. V ; Violante, F. S ; Vlassov, V ; Vo, B ; Vongpradith, A ; Vu, G. T ; Wei, J ; Yadollahpour, A ; Jabbari, S. H. Y ; Yeshaw, Y ; Yiǧit, V ; Yirdaw, B. W ; Yonemoto, N ; Yu, C ; Yunusa, I ; Zamani, M ; Zastrozhin, M. S ; Zastrozhina, A ; Zhang, Z. J ; Zhao, J. T ; Murray, C. J. L ; Davis, A. C ; Vos, T ; Chadha, S ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Background: Hearing loss affects access to spoken language, which can affect cognition and development, and can negatively affect social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on the prevalence of hearing loss in 2019, as well as the condition's associated disability. Methods: We did systematic reviews of population-representative surveys on hearing loss prevalence from 1990 to 2019. We fitted nested meta-regression models for severity-specific prevalence, accounting for hearing aid coverage, cause, and the presence of tinnitus. We also forecasted the prevalence of hearing loss until 2050. Findings: An estimated 1·57 billion (95% uncertainty...
Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019 a systematic analysis for the global burden of disease study 2019
, Article JAMA Oncology ; Volume 8, Issue 3 , 2022 , Pages 420-444 ; 23742437 (ISSN) ; Compton, K ; Dean, F.E ; Fu, W ; Gaw, B.L ; Harvey, J.D ; Henrikson, H.J ; Lu, D ; Pennini, A ; Xu, R ; Ababneh, E ; Abbasi-Kangevari, M ; Abbastabar, H ; Abd-Elsalam, S.M ; Abdoli, A ; Abedi, A ; Abidi, H ; Abolhassani, H ; Adedeji, I.A ; Adnani, Q.E.S ; Advani, S.M ; Afzal, M.S ; Aghaali, M ; Ahinkorah, B.O ; Ahmad, S ; Ahmad, T ; Ahmadi, A ; Ahmadi, S ; Ahmed Rashid, T ; Ahmed Salih, Y ; Akalu, G.T ; Aklilu, A ; Akram, T ; Akunna, C.J ; Al Hamad, H ; Alahdab, F ; Al-Aly, Z ; Ali, S ; Alimohamadi, Y ; Alipour, V ; Aljunid, S.M ; Alkhayyat, M ; Almasi-Hashiani, A ; Almasri, N.A ; Al-Maweri, S.A.A ; Almustanyir, S ; Alonso, N ; Alvis-Guzman, N ; Amu, H ; Anbesu, E.W ; Ancuceanu, R ; Ansari, F ; Ansari-Moghaddam, A ; Antwi, M.H ; Anvari, D ; Anyasodor, A.E ; Aqeel, M ; Arabloo, J ; Arab-Zozani, M ; Aremu, O ; Ariffin, H ; Aripov, T ; Arshad, M ; Artaman, A ; Arulappan, J ; Asemi, Z ; Asghari Jafarabadi, M ; Ashraf, T ; Atorkey, P ; Aujayeb, A ; Ausloos, M ; Awedew, A.F ; Ayala Quintanilla, B.P ; Ayenew, T ; Azab, M.A ; Azadnajafabad, S ; Azari Jafari, A ; Azarian, G ; Azzam, A.Y ; Badiye, A.D ; Bahadory, S ; Baig, A.A ; Baker, J.L ; Balakrishnan, S ; Banach, M ; Bärnighausen, T.W ; Barone-Adesi, F ; Barra, F ; Barrow, A ; Behzadifar, M ; Belgaumi, U.I ; Bezabhe, W.M.M ; Bezabih, Y.M ; Bhagat, D.S ; Bhagavathula, A.S ; Bhardwaj, N ; Bhardwaj, P ; Bhaskar, S ; Bhattacharyya, K ; Bhojaraja, V.S ; Bibi, S ; Bijani, A ; Biondi, A ; Bisignano, C ; Bjorge, T ; Bleyer, A ; Blyuss, O ; Bolarinwa, O.A ; Bolla, S.R ; Braithwaite, D ; Brar, A ; Brenner, H ; Bustamante-Teixeira, M.T ; Butt, N.S ; Butt, Z.A ; Caetano dos Santos, F.L ; Cao, Y ; Carreras, G ; Catalá-López, F ; Cembranel, F ; Cerin, E ; Cernigliaro, A ; Chakinala, R.C ; Chattu, S.K ; Chattu, V.K ; Chaturvedi, P ; Chimed-Ochir, O ; Cho, D.Y ; Christopher, D.J ; Chu, D.-T ; Chung, M.T ; Conde, J ; Cortés, S ; Cortesi, P.A ; Costa, V.M ; Cunha, A.R ; Dadras, O ; Dagnew, A.B ; Dahlawi, S.M.A ; Dai, X ; Dandona, L ; Dandona, R ; Darwesh, A.M ; das Neves, J ; De la Hoz, F.P ; Demis, A.B ; Denova-Gutiérrez, E ; Dhamnetiya, D ; Dhimal, M.L ; Dhimal, M ; Dianatinasab, M ; Diaz, D ; Djalalinia, S ; Do, H.P ; Doaei, S ; Dorostkar, F ; dos Santos Figueiredo, F.W ; Driscoll, T.R ; Ebrahimi, H ; Eftekharzadeh, S ; El Tantawi, M ; El-Abid, H ; Elbarazi, I ; Elhabashy, H.R ; Elhadi, M ; El-Jaafary, S.I ; Eshrati, B ; Eskandarieh, S ; Esmaeilzadeh, F ; Etemadi, A ; Ezzikouri, S ; Faisaluddin, M ; Faraon, E.J.A ; Fares, J ; Farzadfar, F ; Feroze, A.H ; Ferrero, S ; Ferro Desideri, L ; Filip, I ; Fischer, F ; Fisher, J.L ; Foroutan, M ; Fukumoto, T ; Gaal, P.A ; Gad, M.M ; Gadanya, M.A ; Gallus, S ; Gaspar Fonseca, M ; Getachew Obsa, A ; Ghafourifard, M ; Ghashghaee, A ; Ghith, N ; Gholamalizadeh, M ; Gilani, S.A ; Ginindza, T.G ; Gizaw, A.T.T ; Glasbey, J.C ; Golechha, M ; Goleij, P ; Gomez, R.S ; Gopalani, S.V ; Gorini, G ; Goudarzi, H ; Grosso, G ; 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D ; Mosapour, A ; Mubarik, S ; Mwanri, L ; Nagarajan, A. J ; Nagaraju, S. P ; Nagata, C ; Naimzada, M. D ; Nangia, V ; Naqvi, A. A ; Narasimha Swamy, S ; Ndejjo, R ; Nduaguba, S. O ; Negoi, I ; Negru, S. M ; Neupane Kandel, S ; Nguyen, C. T ; Nguyen, H. L. T ; Niazi, R. K ; Nnaji, C. A ; Noor, N. M ; Nunez Samudio, V ; Nzoputam, C. I ; Oancea, B ; Ochir, C ; Odukoya, O. O ; Sharif University of Technology
American Medical Association
2022
Abstract
IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational...