56 research outputs found
The Implications of Rahmatan Lil’Alamin in the Islamic Economics Context: A Study at an Islamic University in Indonesia
No full textThis study aims to examine the value of rahmatan lil'alamin at the Indonesian Islamic University in broadcasting Islamic economics. It focuses more on studying Indonesian Islamic universities. The method applied in this study is a literature study with a qualitative approach, a literature study whose data sources are obtained from written materials such as books or manuscripts, documents, and so on. The author will collaborate on various data from intellectual figures and continue a critique of the existing data by describing each piece of data found by the author. The author will try to separate what is considered right from what is wrong. The results of this study indicate that UII, as an educational institution in the midst of this society brings a paradigm of Islamic education rahmatan lil'alamin, which helps to think as a whole by studying in depth related to Islamic education, which is built through universal values based on the Qur'an and al-hadith, prioritizing love, togetherness, justice, and brotherhood towards fellow human beings, then in broadcasting the Islamic economy UII tries to collaborate with several Islamic financial institutions, companies and educational institutions both at home and abroad
Collected Papers (on Neutrosophics, Plithogenics, Hypersoft Set, Hypergraphs, and other topics), Volume X
No full textThis tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, Gabrijela Popović, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.
Collected Papers (on Neutrosophics, Plithogenics, Hypersoft Set, Hypergraphs, and other topics), Volume X
No full textThis tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Iliescu, F. Nirmala Irudayam, Sripati Jha, Darjan Karabašević, T. Katican, Bakhtawar Ali Khan, Hina Khan, Volodymyr Krasnoholovets, R. Kiran Kumar, Manoranjan Kumar Singh, Ranjan Kumar, M. Lathamaheswari, Yasar Mahmood, Nivetha Martin, Adrian Mărgean, Octavian Melinte, Mingcong Deng, Marcel Migdalovici, Monika Moga, Sana Moin, Mohamed Abdel-Basset, Mohamed Elhoseny, Rehab Mohamed, Mohamed Talea, Kalyan Mondal, Muhammad Aslam, Muhammad Aslam Malik, Muhammad Ihsan, Muhammad Naveed Jafar, Muhammad Rayees Ahmad, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Mujahid Abbas, Mumtaz Ali, Radu I. Munteanu, Ghulam Murtaza, Munazza Naz, Tahsin Oner, Gabrijela Popović, Surapati Pramanik, R. Priya, S.P. Priyadharshini, Midha Qayyum, Quang-Thinh Bui, Shazia Rana, Akbara Rezaei, Jesús Estupiñán Ricardo, Rıdvan Sahin, Saeeda Mirvakili, Said Broumi, A. A. Salama, Flavius Aurelian Sârbu, Ganeshsree Selvachandran, Javid Shabbir, Shio Gai Quek, Son Hoang Le, Florentin Smarandache, Dragiša Stanujkić, S. Sudha, Taha Yasin Ozturk, Zaigham Tahir, The Houw Iong, Ayse Topal, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Rizha Vitania, Luige Vlădăreanu, Victor Vlădăreanu, Ștefan Vlăduțescu, J. Vimala, Dan Valeriu Voinea, Adem Yolcu, Yongfei Feng, Abd El-Nasser H. Zaied, Edmundas Kazimieras Zavadskas.
THE EFFECT OF PROVIDING BANANA HUMBLE MOL AND LIQUID ORGANIC FERTILIZER (POC) RICE WASHING ON THE GROWTH AND PRODUCTION OF PURPLE EGGPLANT (Solanum melongena L.)
No full textPurple eggplant is an important vegetable crop in various cuisines, and the market demand for this crop is quite high. Fertilization is done as an effort to meet the needs of plants so that production goals can be achieved. This research was conducted at the office land of Pulo Brayan Bengkel Baru Urban Village, East Medan District, Deli Serdang Regency, North Sumatra with an altitude of ± 500 meters above sea level. This study used a Factorial Randomized Group Design (RAK) pattern. The treatment factor used in the study was the application of MOL bonggol pisang and POC rice washing water consisting of 4 levels of treatment and 3 repetitions. The first factor of MOL bonggol pisang is P0 = No Giving, P1 = 200 ml / water, P2 = 400 ml / water, P3 = 600 ml / water. The second factor is rice washing water POC, namely A0 = No Application, A1 = 150 ml / water, A2 = 300 ml / water, A3 = 450 ml / water. Observations of parameters in this study were plant height, number of productive branches, number of fruits, fruit weight per plant and fruit weight per plot. From this design, 16 treatment combinations were obtained and 3 repetitions were carried out, so that 48 experimental units were obtained in the study. The results showed that the treatment of MOL banana pomace strongly influenced all research parameters, the optimal concentration of MOL banana pomace was 400 ml / water. POC rice washing water is very influential on all research parameters, the optimal concentration of POC rice washing water is 450 ml / water. The purpose of this study was to determine the effect of banana stem moles and washing water POC on the growth and production of purple eggplant plants
Communication Technologies for Vehicles: Third International Workshop, Nets4Cars/Nets4Trains 2011 Oberpfaffenhofen, Germany, March 23-24, 2011 Proceedings
No full textThe Communication Technologies for Vehicles workshop series provides an international forum on latest technologies and research in the field of intra- and inter-vehicle communications in which to present original research results in all areas relating to communication protocols and standards, mobility and traffic models, experimental and field operational testing, and performance analysis
Increasing women's participation in the primary school teaching force and teacher training in Nepal
No full textAlthough research shows that Nepalese parents prefer sending girls to schools with female teachers, only 12.8 percent of Nepalese primary school teachers are women. Nepal has among the lowest enrollment and retention rates for girls in the world. One strategy to correct the situation is to increase the number of women who become and remain teachers. But teacher training is also important; 60 percent of Nepalese teachers are untrained, so the quality of education is poor - often rote memorization, with the teacher simply reading textbooks aloud. The author tried to find out what factors affect Nepali women's decision to join the primary school teaching force and to participate in in-service teacher training. Prior studies, using large survey methods, did not provide the information program planners needed. The author chose a research strategy more appropriate to the Nepali culture by combining quantitative and qualitative methods. The author focused on the participation of women in the primary teaching force and on two in-service teacher training projects: the Primary Education Project (PEP); and the Radio Education Teacher Training Project (RETT). In the PEP, teachers from 10 to 15 primary schools receive in-service training in short sessions at a resource center. They get roughly a dollar a day to cover their food and lodging costs. The RETT provides in-service training to primary teachers through daily radio broadcasts, plus written assignments and monthly meetings in resource centers. Gender disaggregated information on the RETT and the PEP programs had never been collected. The author hypothesized that female teachers'needs are different from those of their male counterparts and this would reflect in differential participation rates. Some of the author's conclusions are below. First, women are more likely to be recruited as teachers or into training programs if information about positions and programs is made available to them in a timely, accessible way. To do this, extension agents could be hired to bring information from the ministry or program to intended beneficiaries. Teaching positions and training programs could be advertised in short radio messages and in letters to primary school principals. Second, women are less likely to get training if the resource center is inaccessible. To counter disincentives for women to travel away from their homes and villages, culturally acceptable travel companions, lodging, and child care should be provided. Third, the current broadcast time for radio training conflicted with women's household responsibilities. Changing the time to later in the evening would increase female participation in the program. Lastly, women often lacked family support to become teachers or to become trained. To increase such support, existing incentives (including allowances and salary increases) should be publicized.Gender and Education,Health Monitoring&Evaluation,ICT Policy and Strategies,Primary Education,Teaching and Learning
What Drives Nuclear-Aspiring States? The Cases of Iran and North Korea
No full textWhy do states want to acquire nuclear weapons? In other words, what drives nuclear-aspiring states? This is the basic question that the author seeks to address in this research. To do so, this research will focus on two standout cases: Iran and North Korea. By employing structural realism as a tool of analysis, the author argues that it is the structure of the international system that drives both Iran and North Korea to acquire nuclear weapons of their own. Specifically, it is the highly unequal distribution of power both regionally and globally that encourages both states to go nuclear. At the global level, both Iran and North Korea found themselves in hostilities with a much more powerful state, the United States. The hostilities and the fact that the United States is way more powerful increase the fear of being attacked in both countries. Similarly, at the regional level, both states face neighbors that are relatively more powerful and have alliances with the United States. Thus, this imbalance of power and the fear it created in both Iran and North Korea give them great incentive to go nuclear, as nuclear weapons would act as a deterrent against any possible aggression. This research is qualitative and based on the literature study data collection method.
Keywords: Nuclear proliferation; national security; distribution of capabilities; structural realism
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Yonhap News Agency. 2018. N. Korea will not give up nuclear weapons: Mearsheimer . March 20. Accessed May 18, 2023. https://en.yna.co.kr/view/AEN20180320010200315.Penelitian ini bertujuan untuk memberikan penjelasan mengapa Iran dan Korea Utara bercita-cita memiliki senjata nuklir sendiri. Topik penelitian ini sejalan dengan tren dunia studi keamanan saat ini, di mana proliferasi nuklir menjadi isu yang banyak diperbincangkan sejak berakhirnya Perang Dingin. Di dunia pasca-Perang Dingin, di mana Amerika Serikat tampaknya menjadi satu-satunya kekuatan besar dalam sistem, secara luas diharapkan bahwa dunia akan damai dan dipenuhi dengan negara-negara yang bermaksud baik yang ingin bergaul satu sama lain. . Namun, realitas situasinya adalah bahwa apa yang disebut negara-negara "nakal" seperti Korea Utara dan Iran telah memutuskan untuk memulai ketegangan terkait senjata lainnya dengan memperbanyak (setidaknya bercita-cita untuk memperoleh) senjata nuklir. Dalam makalah ini, penulis berpendapat bahwa dari perspektif neorealis, terutama struktur sistem internasional yang menyebabkan Iran dan Korea Utara berupaya memperoleh senjata nuklir. Oleh karena itu, penulis juga berpendapat bahwa dari sudut pandang Iran dan Korea Utara, sangatlah rasional untuk mencari senjata mematikan semacam itu untuk mencegah potensi agresi oleh negara lain
Author Correction: A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic.
No full textCorrection to: Nature Human Behaviour https://doi.org/10.1038/s41562-021-01173-x, published online 2 August 2021.In the version of this article initially published, the following authors were omitted from the author list and the Author contributionssection for “investigation” and “writing and editing”: Nandor Hajdu (Institute of Psychology, ELTE Eötvös Loránd University, Budapest,Hungary), Jordane Boudesseul (Facultad de Psicología, Instituto de Investigación Científica, Universidad de Lima, Lima, Perú), RafałMuda (Faculty of Economics, Maria Curie-Sklodowska University, Lublin, Poland) and Sandersan Onie (Black Dog Institute, UNSWSydney, Sydney, Australia & Emotional Health for All Foundation, Jakarta, Indonesia). In addition, Saeideh FatahModares’ name wasoriginally misspelled as Saiedeh FatahModarres in the author list. Further, affiliations have been corrected for Maria Terskova (NationalResearch University Higher School of Economics, Moscow, Russia), Susana Ruiz Fernandez (FOM University of Applied Sciences,Essen; Leibniz-Institut fur Wissensmedien, Tubingen, and LEAD Research Network, Eberhard Karls University, Tubingen, Germany),Hendrik Godbersen (FOM University of Applied Sciences, Essen, Germany), Gulnaz Anjum (Department of Psychology, Simon FraserUniversity, Burnaby, Canada, and Department of Economics & Social Sciences, Institute of Business Administration, Karachi, Pakistan).<br/
Author Correction: An inorganic-rich but LiF-free interphase for fast charging and long cycle life lithium metal batteries
No full textMeasuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019 : A systematic analysis for the Global Burden of Disease Study 2019
No full textBackground Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (>= 65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0-100 based on the 2.5th and 97.5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target-1 billion more people benefiting from UHC by 2023-we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45.8 (95% uncertainty interval 44.2-47.5) in 1990 to 60.3 (58.7-61.9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2.6% [1.9-3.3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010-2019 relative to 1990-2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0.79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388.9 million (358.6-421.3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3.1 billion (3.0-3.2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968.1 million [903.5-1040.3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people-the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close-or how far-all populations are in benefiting from UHC. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd. **Please note that there are multiple authors for this article therefore only the name of the Federation University Australia affiliate is provided in this record**Lucas Guimaraes Abreu acknowledges support from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (Capes) -Finance Code 001, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) and Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG). Olatunji O Adetokunboh acknowledges South African Department of Science & Innovation, and National Research Foundation. Anurag Agrawal acknowledges support from the Wellcome Trust DBT India Alliance Senior Fellowship IA/CPHS/14/1/501489. Rufus Olusola Akinyemi acknowledges Grant U01HG010273 from the National Institutes of Health (NIH) as part of the H3Africa Consortium. Rufus Olusola Akinyemi is further supported by the FLAIR fellowship funded by the UK Royal Society and the African Academy of Sciences. Syed Mohamed Aljunid acknowledges the Department of Health Policy and Management, Faculty of Public Health, Kuwait University and International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia for the approval and support to participate in this research project. Marcel Ausloos, Claudiu Herteliu, and Adrian Pana acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDSUEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. Till Winfried Barnighausen acknowledges support from the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. Juan J Carrero was supported by the Swedish Research Council (2019-01059). Felix Carvalho acknowledges UID/MULTI/04378/2019 and UID/QUI/50006/2019 support with funding from FCT/MCTES through national funds. Vera Marisa Costa acknowledges support from grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundacao para a Ciencia e a Tecnologia (FCT), IP, under the Norma TransitA3ria DL57/2016/CP1334/CT0006. Jan-Walter De Neve acknowledges support from the Alexander von Humboldt Foundation. Kebede Deribe acknowledges support by Wellcome Trust grant number 201900/Z/16/Z as part of his International Intermediate Fellowship. Claudiu Herteliu acknowledges partial support by a grant co-funded by European Fund for Regional Development through Operational Program for Competitiveness, Project ID P_40_382. Praveen Hoogar acknowledges the Centre for Bio Cultural Studies (CBiCS), Manipal Academy of Higher Education(MAHE), Manipal and Centre for Holistic Development and Research (CHDR), Kalghatgi. Bing-Fang Hwang acknowledges support from China Medical University (CMU108-MF-95), Taichung, Taiwan. Mihajlo Jakovljevic acknowledges the Serbian part of this GBD contribution was co-funded through the Grant OI175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. Aruna M Kamath acknowledges funding from the National Institutes of Health T32 grant (T32GM086270). Srinivasa Vittal Katikireddi acknowledges funding from the Medical Research Council (MC_UU_12017/13 & MC_UU_12017/15), Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15) and an NRS Senior Clinical Fellowship (SCAF/15/02). Yun Jin Kim acknowledges support from the Research Management Centre, Xiamen University Malaysia (XMUMRF/2018-C2/ITCM/0001). Kewal Krishan acknowledges support from the DST PURSE grant and UGC Center of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India. Manasi Kumar acknowledges support from K43 TW010716 Fogarty International Center/NIMH. Ben Lacey acknowledges support from the NIHR Oxford Biomedical Research Centre and the BHF Centre of Research Excellence, Oxford. Ivan Landires is a member of the Sistema Nacional de InvestigaciA3n (SNI), which is supported by the Secretaria Nacional de Ciencia Tecnologia e Innovacion (SENACYT), Panama. Jeffrey V Lazarus acknowledges support by a Spanish Ministry of Science, Innovation and Universities Miguel Servet grant (Instituto de Salud Carlos III/ESF, European Union [CP18/00074]). Peter T N Memiah acknowledges CODESRIA; HISTP. Subas Neupane acknowledges partial support from the Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital. Shuhei Nomura acknowledges support from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (18K10082). Alberto Ortiz acknowledges support by ISCIII PI19/00815, DTS18/00032, ISCIII-RETIC REDinREN RD016/0009 Fondos FEDER, FRIAT, Comunidad de Madrid B2017/BMD-3686 CIFRA2-CM. These funding sources had no role in the writing of the manuscript or the decision to submit it for publication. George C Patton acknowledges support from a National Health & Medical Research Council Fellowship. Marina Pinheiro acknowledges support from FCT for funding through program DL 57/2016 -Norma transitA3ria. Alberto Raggi, David Sattin, and Silvia Schiavolin acknowledge support by a grant from the Italian Ministry of Health (Ricerca Corrente, Fondazione Istituto Neurologico C Besta, Linea 4 -Outcome Research: dagli Indicatori alle Raccomandazioni Cliniche). Daniel Cury Ribeiro acknowledges support from the Sir Charles Hercus Health Research Fellowship -Health Research Council of New Zealand (18/111). Perminder S Sachdev acknowledges funding from the NHMRC Australia. Abdallah M Samy acknowledges support from a fellowship from the Egyptian Fulbright Mission Program. Milena M Santric-Milicevic acknowledges support from the Ministry of Education, Science and Technological Development of the Republic of Serbia (Contract No. 175087). Rodrigo Sarmiento-Suarez acknowledges institutional support from University of Applied and Environmental Sciences in Bogota, Colombia, and Carlos III Institute of Health in Madrid, Spain. Maria Ines Schmidt acknowledges grants from the Foundation for the Support of Research of the State of Rio Grande do Sul (IATS and PrInt) and the Brazilian Ministry of Health. Sheikh Mohammed Shariful Islam acknowledges a fellowship from the National Heart Foundation of Australia and Deakin University. Aziz Sheikh acknowledges support from Health Data Research UK. Kenji Shibuya acknowledges Japan Ministry of Education, Culture, Sports, Science and Technology. Joan B Soriano acknowledges support by Centro de Investigacion en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. Rafael Tabares-Seisdedos acknowledges partial support from grant PI17/00719 from ISCIII-FEDER. Santosh Kumar Tadakamadla acknowledges support from the National Health and Medical Research Council Early Career Fellowship, Australia. Marcello Tonelli acknowledges the David Freeze Chair in Health Services Research at the University of Calgary, AB, Canada
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