49 results on '"Pathak, Praveen"'
Search Results
2. Balancing on the edge, the golden ratio, the Fibonacci sequence and their generalization
- Author
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Dutta, Gautam, Mehta, Mitaxi, and Pathak, Praveen
- Subjects
Mathematics - General Mathematics - Abstract
The golden ratio and Fibonacci numbers are found to occur in various aspects of nature. We discuss the occurrence of this ratio in an interesting physical problem concerning center of masses in two dimensions. The result is shown to be independent of the particular shape of the object. The approach taken extends naturally to higher dimensions. This leads to ratios similar to the golden ratio and generalization of the Fibonacci sequence. The hierarchy of these ratios with dimension and the limit as the dimension tends to infinity is discussed using the physical problem., Comment: 8 pages, 4 figures
- Published
- 2020
3. Reproductive and child health transition among selected empowered action groups states of India: A district-level analysis
- Author
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Pandey, Bindhy Wasini, primary, Yadav, Ganesh, additional, Tripathi, Niharika, additional, and Pathak, Praveen Kumar, additional
- Published
- 2024
- Full Text
- View/download PDF
4. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019
- Author
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Haakenstad, Annie, Yearwood, Jamal Akeem, Fullman, Nancy, Bintz, Corinne, Bienhoff, Kelly, Weaver, Marcia R, Nandakumar, Vishnu, LeGrand, Kate E, Knight, Megan, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdoli, Amir, Abeldaño Zuñiga, Roberto Ariel, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Afzal, Muhammad Sohail, Afzal, Saira, Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Ali, Ahmed Rashid, Tarik, Aji, Budi, Akande-Sholabi, Wuraola, Alam, Khurshid, Al Hamad, Hanadi, Alhassan, Robert Kaba, Ali, Liaqat, Alipour, Vahid, Aljunid, Syed Mohamed, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amu, Hubert, Amugsi, Dickson A, Ancuceanu, Robert, Andrade, Pedro Prata, Anjum, Afifa, Arabloo, Jalal, Arab-Zozani, Morteza, Ariffin, Hany, Arulappan, Judie, Aryan, Zahra, Ashraf, Tahira, Atnafu, Desta Debalkie, Atreya, Alok, Ausloos, Marcel, Avila-Burgos, Leticia, Ayano, Getinet, Ayanore, Martin Amogre, Azari, Samad, Badiye, Ashish D, Baig, Atif Amin, Bairwa, Mohan, Bakkannavar, Shankar M, Baliga, Shrikala, Banik, Palash Chandra, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Basu, Sanjay, Bayati, Mohsen, Belete, Rebuma, Bell, Arielle Wilder, Bhagat, Devidas S., Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhardwaj, Nikha, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhurtyal, Ashok, Bhutta, Zulfiqar A, Bibi, Sadia, Bijani, Ali, Bikbov, Boris, Biondi, Antonio, Bolarinwa, Obasanjo Afolabi, Bonny, Aime, Brenner, Hermann, Buonsenso, Danilo, Burkart, Katrin, Busse, Reinhard, Butt, Zahid A, Butt, Nadeem Shafique, Caetano dos Santos, Florentino Luciano, Cahuana-Hurtado, Lucero, Cámera, Luis Alberto, Cárdenas, Rosario, Carneiro, Vera L A, Catalá-López, Ferrán, Chandan, Joht Singh, Charan, Jaykaran, Chavan, Prachi P, Chen, Simiao, Chen, Shu, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Mohiuddin Ahsanul Kabir, Cirillo, Massimo, Corso, Barbara, Dadras, Omid, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dangel, William James, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, Deuba, Keshab, Dhimal, Meghnath, Dhimal, Mandira Lamichhane, Djalalinia, Shirin, Do, Huyen Phuc, Doshmangir, Leila, Duncan, Bruce B, Effiong, Andem, Ehsani-Chimeh, Elham, Elgendy, Islam Y, Elhadi, Muhammed, El Sayed, Iman, El Tantawi, Maha, Erku, Daniel Asfaw, Eskandarieh, Sharareh, Fares, Jawad, Farzadfar, Farshad, Ferrero, Simone, Ferro Desideri, Lorenzo, Fischer, Florian, Foigt, Nataliya A., Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gaihre, Santosh, Gardner, William M., Garg, Tushar, Getachew Obsa, Abera, Ghafourifard, Mansour, Ghashghaee, Ahmad, Ghith, Nermin, Gilani, Syed Amir, Gill, Paramjit Singh, Goharinezhad, Salime, Golechha, Mahaveer, Guadamuz, Jenny S., Guo, Yuming, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Vivek Kumar, Gupta, Veer Bala, Hamiduzzaman, Mohammad, Hanif, Asif, Haro, Josep Maria, Hasaballah, Ahmed I., Hasan, Md. Mehedi, Hasan, M Tasdik, Hashi, Abdiwahab, Hay, Simon I, Hayat, Khezar, Heidari, Mohammad, Heidari, Golnaz, Henry, Nathaniel J, Herteliu, Claudiu, Holla, Ramesh, Hossain, Sahadat, Hossain, Sheikh Jamal, Hossain, Mohammad Bellal Hossain, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Hsieh, Vivian Chia-rong, Hu, Guoqing, Huang, Junjie, Huda, M Mamun, Ifeagwu, Susan C., Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Jahani, Mohammad Ali, Jahanmehr, Nader, Jain, Rajesh, Jakovljevic, Mihajlo, Janodia, Manthan Dilipkumar, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Jonas, Jost B., Joo, Tamas, Joseph, Nitin, Jürisson, Mikk, Kabir, Ali, Kalankesh, Leila R, Kalhor, Rohollah, Kamath, Aruna M., Kamenov, Kaloyan, Kandel, Himal, Kantar, Rami S., Kapoor, Neeti, Karanikolos, Marina, Katikireddi, Srinivasa Vittal, Kavetskyy, Taras, Kawakami, Norito, Kayode, Gbenga A., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khalilov, Rovshan, Khammarnia, Mohammad, Khan, Md Nuruzzaman, Khan, Moien AB, Khan, Maseer, Khezeli, Mehdi, Kim, Min Seo, Kim, Yun Jin, Kisa, Sezer, Kisa, Adnan, Klymchuk, Vitalii, Koly, Kamrun Nahar, Korzh, Oleksii, Kosen, Soewarta, Koul, Parvaiz A, Kuate Defo, Barthelemy, Kumar, G Anil, Kusuma, Dian, Kyu, Hmwe Hmwe, Larsson, Anders O, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Lee, Chiachi Bonnie, Li, Shanshan, Lucchetti, Giancarlo, Mahajan, Preetam Bhalchandra, Majeed, Azeem, Makki, Alaa, Malekzadeh, Reza, Malik, Ahmad Azam, Malta, Deborah Carvalho, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martinez-Valle, Adolfo, Martins-Melo, Francisco Rogerlândio, Masoumi, Seyedeh Zahra, Mathur, Manu Raj, Maude, Richard James, Maulik, Pallab K, McKee, Martin, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mirrakhimov, Erkin M, Misganaw, Awoke, Misra, Sanjeev, Moazen, Babak, Mohammadi, Mokhtar, Mohammed, Shafiu, Moitra, Modhurima, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moni, Mohammad Ali, Moradi, Ghobad, Moreira, Rafael Silveira, Mosser, Jonathan F., Mostafavi, Ebrahim, Mouodi, Simin, Nagarajan, Ahamarshan Jayaraman, Nagata, Chie, Naghavi, Mohsen, Nangia, Vinay, Narasimha Swamy, Sreenivas, Narayana, Aparna Ichalangod, Nascimento, Bruno Ramos, Nassereldine, Hasan, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Nepal, Samata, Neupane Kandel, Sandhya, Ngunjiri, Josephine W., Nguyen, Huong Lan Thi, Nguyen, Cuong Tat, Ningrum, Dina Nur Anggraini, Noubiap, Jean Jacques, Oancea, Bogdan, Oghenetega, Onome Bright, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Onwujekwe, Obinna E, Otoiu, Adrian, Padubidri, Jagadish Rao, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R, Pardhan, Shahina, Pasupula, Deepak Kumar, Pathak, Praveen Kumar, Patton, George C, Pawar, Shrikant, Pereira, Jeevan, Pilania, Manju, Piroozi, Bakhtiar, Podder, Vivek, Pokhrel, Khem Narayan, Postma, Maarten J, Prada, Sergio I, Quazi Syed, Zahiruddin, Rabiee, Navid, Radhakrishnan, Raghu Anekal, Rahman, Md. Mosfequr, Rahman, Mosiur, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahmani, Amir Masoud, Ranabhat, Chhabi Lal, Rao, Chythra R, Rao, Sowmya J, Rasella, Davide, Rawaf, Salman, Rawaf, David Laith, Rawal, Lal, Renzaho, Andre M.N., Reshmi, Bhageerathy, Resnikoff, Serge, Rezapour, Aziz, Riahi, Seyed Mohammad, Ripon, Rezaul Karim, Sacco, Simona, Sadeghi, Masoumeh, Saeed, Umar, Sahebkar, Amirhossein, Sahiledengle, Biniyam, Sahoo, Harihar, Sahu, Maitreyi, Salama, Joseph S, Salamati, Payman, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M., Sathian, Brijesh, Sawhney, Monika, Schmidt, Maria Inês, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shaikh, Masood Ali, Sheikh, Aziz, Shetty, Adithi, Shigematsu, Mika, Shiri, Rahman, Shivakumar, K M, Shokri, Azad, Singh, Jasvinder A., Sinha, Dhirendra Narain, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sofi-Mahmudi, Ahmad, Sousa, Raúl A R C, Stephens, Jacqueline H, Sun, Jing, Szócska, Miklós, Tabarés-Seisdedos, Rafael, Tadbiri, Hooman, Tamiru, Animut Tagele, Thankappan, Kavumpurathu Raman, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Tran, Bach Xuan, Tripathi, Niharika, Tripathy, Jaya Prasad, Troeger, Christopher E, Uezono, Deinzel Robles, Ullah, Saif, Ullah, Anayat, Unnikrishnan, Bhaskaran, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vasic, Milena, Veroux, Massimiliano, Vervoort, Dominique, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Waheed, Yasir, Wamai, Richard G, Wang, Yuan-Pang, Wang, Yanzhong, Ward, Paul, Wiangkham, Taweewat, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yi, Siyan, Yiğit, Vahit, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Sojib Bin, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zhong, Chenwen, Zuniga, Yves Miel H, Lim, Stephen S, Murray, Christopher J L, and Lozano, Rafael
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- 2022
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5. Electronic Markets and Geographic Competition Among Small, Local Firms
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Kitchens, Brent, Kumar, Anuj, and Pathak, Praveen
- Published
- 2018
6. Energy and Angular Momentum Storage in a Rotating Magnet
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Mani, H. S., Pathak, Praveen, and Singh, Vijay A.
- Subjects
Physics - Classical Physics - Abstract
We consider a cylindrical metallic magnet that is set into rotation about a horizontal axis by a falling mass. In such a system the magnetic field will cause a radial current which is non-solenoidal. This leads to charge accumulation and a partial attenuation of radial current. The magnetic field acting on the radially flowing current slows down the acceleration. Using newtonian dynamics we evaluate the angular velocity and displacement. We explicitly show that the electromagnetic angular momentum must be taken into consideration in order to account for the change in angular momentum due to the external torque on the system. Further the loss in potential energy of the falling mass can be accounted for only after taking into consideration the electrostatic energy and the Joule loss. We suggest that this example will be of pedagogical value to intermediate physics students. A version of this is scheduled to appear in American Journal of Physics 2011. Keywords: Rotating magnet, Charge accumulation, Comment: 11 pages and one figure
- Published
- 2011
7. Encapsulated Polymers Used as Nanomaterials Regarding in vivo Studies in Fishes
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Pathak, Praveen, primary
- Published
- 2023
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8. Infant and child mortality in India: trends in inequalities across economic groups
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Jain, Nidhi, Singh, Abhishek, and Pathak, Praveen
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- 2013
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9. The Impact of Automation of Systems on Medical Errors: Evidence from Field Research
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Aron, Ravi, Dutta, Shantanu, Janakiraman, Ramkumar, and Pathak, Praveen A.
- Published
- 2011
10. Detecting Management Fraud in Public Companies
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Cecchini, Mark, Aytug, Haldun, Koehler, Gary J., and Pathak, Praveen
- Published
- 2010
11. A Mechanism for On-line Advertisement Placement to Deter Click Fraud
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Zhou, Wei, Bandyopadhyay, Subhajyoti, Cheng, Hsing K., and Pathak, Praveen
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- 2008
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12. Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search
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Fan, Weiguo, Gordon, Michael D., and Pathak, Praveen
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- 2005
13. Making words work: Using financial text as a predictor of financial events
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Cecchini, Mark, Aytug, Haldun, Koehler, Gary J., and Pathak, Praveen
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- 2010
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14. Genetic-based approaches in ranking function discovery and optimization in information retrieval — A framework
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Fan, Weiguo, Pathak, Praveen, and Zhou, Mi
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- 2009
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15. Ontological analysis of web surf history to maximize the click-through probability of web advertisements
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Deane, Jason and Pathak, Praveen
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- 2009
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16. A pedagogical study of cooling of a granualar gas
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Makhijani, Rahul, Pathak, Praveen, and Singh, Vijay A.
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- 2011
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17. Monitoring process quality in off-shore outsourcing: A model and findings from multi-country survey
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Aron, Ravi, Bandyopadhyay, Subhajyoti, Jayanty, Siddharth, and Pathak, Praveen
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- 2008
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18. Effective mass theory of a two-dimensional quantum dot in the presence of magnetic field
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Asnani, Himanshu, Mahajan, Raghu, Pathak, Praveen, and Singh, Vijay A.
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- 2009
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19. The Landau theory of phase transitions: A mechanical analog
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Raorane, Rekha S., Mahajan, Raghu, Pathak, Praveen, and Singh, Vijay A.
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- 2009
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20. Defects in semiconductor nanostructures
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Singh, Vijay A., Harbola, Manoj K., and Pathak, Praveen
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- 2008
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21. A mean field approach to Coulomb blockade for a disordered assembly of quantum dots
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Kamra, Akashdeep, Pathak, Praveen, and Singh, Vijay A.
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- 2008
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22. Classroom
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Pathak, Praveen, Singh, Vijay A., Bhabha, Homi, and Asnani, Himanshu
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- 2007
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23. Curse of the Mummy-ji : The Influence of Mothers-in-Law on Women in India
- Author
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Anukriti, S, Herrera-Almanza, Catalina, Pathak, Praveen K., and Karra, Mahesh
- Subjects
MOTHER-IN-LAW ,MOBILITY ,REPRODUCTIVE HEALTH ,SOCIAL NETWORKS ,health care economics and organizations ,humanities ,FAMILY PLANNING - Abstract
Restrictive social norms and strategic constraints imposed by family members can limit women's access to and benefits from social networks, especially in patrilocal societies. We characterize young married women's social networks in rural India and analyze how inter-generational power dynamics within the household affect their network formation. Using primary data from Uttar Pradesh, we show that co-residence with the mother-in-law is negatively correlated with her daughter-in-law's mobility and ability to form social connections outside the household, especially those related to health, fertility, and family planning. Our findings suggest that the mother-in-law's restrictive behavior is potentially driven by the misalignment of fertility preferences between the mother-in-law and the daughter-in-law. The lack of peers outside the household lowers the daughter-in-law's likelihood of visiting a family planning clinic and of using modern contraception. We find suggestive evidence that this is because outside peers (a) positively influence daughter-in-law's beliefs about the social acceptability of family planning and (b) enable the daughter-in-law to overcome mobility constraints by accompanying her to health clinics. Wiley Terms and Conditions, https://authorservices.wiley.com/author-resources/Journal-Authors/licensing/self-archiving.html
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- 2020
24. Quantum states of neutron in Earth’s gravitional field: A challenge from the 36th international physics olympaid
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Singh, Vijay A., Pathak, Praveen, and Chaitanya, K. Krishna
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- 2006
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25. Knowledge sharing and cooperation in outsourcing projects — A game theoretic analysis
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Bandyopadhyay, Subhajyoti and Pathak, Praveen
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- 2007
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26. Adaptive web search: evolving a program that finds information
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Gordeon, Michael, Fan, Weigue, Patrick, and Pathak, Praveen
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Genetic algorithms -- Usage ,Web sites -- Services ,Web sites -- Information management ,Information storage and retrieval systems -- Usage ,Database searching -- Methods ,Online searching -- Methods ,Company Web site/Web page ,Company systems management ,Business ,Computers ,Computers and office automation industries ,Electronics - Abstract
A study uses genetic programming to examine new ways for effective search and retrieval of information on the web.
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- 2006
27. Discovery of context-specific ranking functions for effective information retrieval using genetic programming
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Fan, Weiguo, Gordon, Michael D., and Pathak, Praveen
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Information theory -- Research ,Business ,Computers ,Electronics ,Electronics and electrical industries - Abstract
The Internet and corporate Intranets have brought a lot of information. People usually resort to search engines to find required information. However, these systems tend to use only one fixed ranking strategy regardless of the contexts. This poses serious performance problems when characteristics of different users, queries, and text collections are taken into account. In this paper, we argue that the ranking strategy should be context specific and we propose a new systematic method that can automatically generate ranking strategies for different contexts based on Genetic Programming (GP). The new method was tested on TREC data and the results are very promising. Index Terms--Intelligent information retrieval, personalization, search engine, term weighting, ranking function, text mining, genetic programming, contextual information retrieval, information routing, information retrieval.
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- 2004
28. Nonlinear ranking function representations in genetic programming-based ranking discovery for personalized search
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Fan, Weiguo, Pathak, Praveen, and Wallace, Linda
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- 2006
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29. An integrated two-stage model for intelligent information routing
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Fan, Weiguo, Gordon, Michael D., and Pathak, Praveen
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- 2006
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30. Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†
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Anukriti, S, primary, Herrera‐Almanza, Catalina, additional, Pathak, Praveen K., additional, and Karra, Mahesh, additional
- Published
- 2020
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31. Effective profiling of consumer information retrieval needs: a unified framework and empirical comparison
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Fan, Weiguo, Gordon, Michael D., and Pathak, Praveen
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- 2005
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32. Curse of the Mummy‐ji: The Influence of Mothers‐in‐Law on Women in India†.
- Author
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Anukriti, S, Herrera‐Almanza, Catalina, Pathak, Praveen K., and Karra, Mahesh
- Subjects
SOCIAL skills ,FAMILY planning services ,MARRIED women ,FAMILY planning ,SOCIAL acceptance - Abstract
Restrictive social norms and strategic constraints imposed by family members can limit women's access to and benefits from social networks, especially in patrilocal societies. We characterize young married women's social networks in rural India and analyze how inter‐generational power dynamics within the household affect their network formation. Using primary data from Uttar Pradesh, we show that co‐residence with the mother‐in‐law is negatively correlated with her daughter‐in‐law's mobility and ability to form social connections outside the household, especially those related to health, fertility, and family planning. Our findings suggest that the mother‐in‐law's restrictive behavior is potentially driven by the misalignment of fertility preferences between the mother‐in‐law and the daughter‐in‐law. The lack of peers outside the household lowers the daughter‐in‐law's likelihood of visiting a family planning clinic and of using modern contraception. We find suggestive evidence that this is because outside peers (a) positively influence daughter‐in‐law's beliefs about the social acceptability of family planning and (b) enable the daughter‐in‐law to overcome mobility constraints by accompanying her to health clinics. [ABSTRACT FROM AUTHOR]
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- 2020
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33. Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search.
- Author
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Weiguo Fan, Gordon, Michael D., and Pathak, Praveen
- Subjects
GENETIC programming ,ELECTRONIC information resource searching ,WEB search engines ,MACHINE learning ,RANKING ,INFORMATION retrieval - Abstract
Web search engines have become an integral part of the daily life of a knowledge worker, who depends on these search engines to retrieve relevant information from the Web or from the company's vast document databases. Current search engines are very fast in terms of their response time to a user query. But their usefulness to the user in terms of retrieval performance leaves a lot to be desired. Typically, the user has to sift through a lot of nonrelevant documents to get only a few relevant ones for the user's information needs. Ranking functions play a very important role in the search engine retrieval performance. In this paper, we describe a methodology using genetic programming to discover new ranking functions for the Web-based information-seeking task. We exploit the content as well as structural information in the Web documents in the discovery process. The discovery process is carried out for both the ad hoc task and the routing task in retrieval. For either of the retrieval tasks, the retrieval performance of these newly discovered ranking functions has been found to be superior to the performance obtained by well-known ranking strategies in the information retrieval literature. [ABSTRACT FROM AUTHOR]
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- 2005
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34. Investigation of Shock Waves in Non-Ideal Gas Under the Action of Magnetic Field
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Pandey, Kanti, primary and Pathak, Praveen Prakash, additional
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- 2017
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35. Meta-ranking function design with support vector machines for information search
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Eryarsoy, Enes and Pathak, Praveen
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QA075 Electronic computers. Computer science ,T58.5 Information technology ,T58.6-58.62 Management information systems - Abstract
A search engine ranks a set of documents according to their relevance for a specific query. Sev-eral ranking functions have been proposed. Although some are superior to others, there is no one known function known to dominate across all domains. Support Vector Machines is a mathemat-ically elegant technique that has been successfully implemented in many domains. In this paper we offer an intuitive intelligent data fusion approach that improves search results using Support Vector Machines. One important characteristic of this approach is that it considers underlying ranking functions as black-box algorithms and simply operates on the set of their results.
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- 2011
36. Estimating Social Influences from Social Networking Sites-Articulated Friendships versus Communication Interactions
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Guo, Hong, primary, Pathak, Praveen, additional, and Cheng, Hsing Kenneth, additional
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- 2015
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37. Secular Trends in Menarcheal Age in India-Evidence from the Indian Human Development Survey
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Pathak, Praveen Kumar, primary, Tripathi, Niharika, additional, and Subramanian, S. V., additional
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- 2014
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38. Meta-Ranking Function Design with Support Vector Machines for Personalized Search
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Eryarsoy, Enes and Pathak, Praveen
- Subjects
QA076 Computer software - Abstract
A search engine ranks a set of documents according to their relevance for a specific query. Several ranking functions have been proposed. Although some are superior to others, there is no one known function known to dominate across all domains. Support Vector Machines is a novel and mathematically elegant technique that has been successfully implemented in many domains. In this paper we offer an intuitive intelligent data fusion approach that improves search results using Support Vector Machines. One important characteristic of this approach is that it considers underlying ranking functions as black-box algorithms and simply operates on the set of their results.
- Published
- 2007
39. Introduction to special issue
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Bandyopadhyay, Subhajyoti, primary, Harle, Christopher, additional, and Pathak, Praveen, additional
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- 2014
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40. Laboratory Assays for Monitoring Rivaroxaban: In House in-Vitro Analysis and Review of Literature
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Pathak, Praveen Kumar, primary, McRae, Simon, additional, Duncan, Elizabeth, additional, Lewis, Ian D, additional, and To, Luen Bik, additional
- Published
- 2011
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41. Infant and Child Mortality in India in the Last Two Decades: A Geospatial Analysis
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Singh, Abhishek, primary, Pathak, Praveen Kumar, additional, Chauhan, Rajesh Kumar, additional, and Pan, William, additional
- Published
- 2011
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42. Energy and angular momentum storage in a rotating magnet
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Mani, H. S., primary, Pathak, Praveen, additional, and Singh, Vijay A., additional
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- 2011
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43. Economic Inequalities in Maternal Health Care: Prenatal Care and Skilled Birth Attendance in India, 1992–2006
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Pathak, Praveen Kumar, primary, Singh, Abhishek, additional, and Subramanian, S. V., additional
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- 2010
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44. Monitoring process quality in off‐shore outsourcing: A model and findings from multi‐country survey
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Aron, Ravi, primary, Bandyopadhyay, Subhajyoti, additional, Jayanty, Siddharth, additional, and Pathak, Praveen, additional
- Published
- 2007
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45. On linear mixture of expert approaches to information retrieval
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Fan, Weiguo, primary, Gordon, Michael, additional, and Pathak, Praveen, additional
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- 2006
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46. A Mechanism for On-line Advertisement Placement to Deter Click Fraud.
- Author
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Wei Zhou, Bandyopadhyay, Subhajyoti, Cheng, Hsing K., and Pathak, Praveen
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INTERNET advertising ,ADVERTISING agencies ,ADVERTISERS ,CONTRACTS ,MORAL hazard ,RISK management in business ,SIMULATION methods & models ,INTERNET fraud ,EFFICIENT market theory - Abstract
The principal-agent problem of the on-line advertising market is investigated with respect to the publisher, the coordinator, and the advertiser. The publisher-coordinator contract is a double-sided moral hazard problem; the coordinator-advertiser contract is a double moral hazard problem with the agent's effort observed. These findings are compared to the auction-based model, and the cause and conditions of click fraud under both models are explained. The discussion shows that an efficient market deters click fraud, but an auction-based market is unable to achieve full effi ciency. [ABSTRACT FROM AUTHOR]
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- 2008
- Full Text
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47. Exploring Black Hole Physics via Dimensional Analysis.
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Pathak, Praveen, Uppal, Vinay, and Singh, Vijay A.
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PHYSICS experiments ,SUPERMASSIVE black holes ,DIMENSIONAL analysis ,COLLEGE students ,ENTROPY ,PHYSICAL sciences - Abstract
Dimensional analysis is a powerful instrument in the physicist's arsenal, It not only helps to check equations, but can also be used to derive important ones. We illustrate this by deriving some important expressions in black hole physics. Starting with a simple input, namely that the properties of an uncharged, non-rotating black hole depend only on the mass (that 'no hair theorem') we employ dimensional analysis to derive expressions for the area of the event horizon, the entropy, the evaporation time and the Hawking temperature, among others. Our derivations are accessible to pre-college students, but its exotic implications may leave them pondering for a very long time. [ABSTRACT FROM AUTHOR]
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- 2008
48. A Potpourri of Fermi Problems.
- Author
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Pathak, Praveen, Singh, Vijay A., and Asnani, Himanshu
- Subjects
FERMI liquid theory ,CAMERAS ,BOILING (Cooking) ,ANIMATION (Cinematography) ,PHYSICS competitions - Abstract
The article presents several examples of Fermi problems adapted from the 37th International Physics Olympiad (IPO) held in Singapore from July 8-17, 2006. The two effects that were used to determine the camera's effectiveness as a photographic tool are diffraction by the aperture and the pixel size. It cites the amount of cooking time needed to make a hard-boiled egg. The solution to know the frames in an animation movie is presented.
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- 2007
49. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019
- Author
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Lozano, R., Haakenstad, A., Yearwood, J. A., Fullman, N., Bintz, C., Bienhoff, K., Weaver, M. R., Nandakumar, V., Joffe, J. N., LeGrand, K. E., Knight, M., Abbafati, C., Abbasi-Kangevari, M., Abdoli, A., Zuniga, R. A. A., Adedeji, I. A., Adekanmbi, V., Adetokunboh, O. O., Afzal, M. S., Afzal, S., Agudelo-Botero, M., Ahinkorah, B. O., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, A., Rashid, T. A., Aji, B., Akande-Sholabi, W., Alam, K., Al Hamad, H., Alhassan, R. K., Ali, L., Alipour, V., Aljunid, S. M., Ameyaw, E. K., Amin, T. T., Amu, H., Amugsi, D. A., Ancuceanu, R., Andrade, P. P., Anjum, A., Arabloo, J., Arab-Zozani, M., Ariffin, H., Arulappan, J., Aryan, Z., Ashraf, T., Atnafu, D. D., Atreya, A., Ausloos, M., Avila-Burgos, L., Ayano, G., Ayanore, M. A., Azari, S., Badiye, A. D., Baig, A. A., Bairwa, M., Bakkannavar, S. M., Baliga, S., Banik, P. C., Barnighausen, T. W., Barra, F., Barrow, A., Basu, S., Bayati, M., Belete, R., Bell, A. W., Bhagat, D. S., Bhagavathula, A. S., Bhardwaj, P., Bhardwaj, N., Bhaskar, S., Bhattacharyya, K., Bhutta, Z. A., Bibi, S., Bijani, A., Bikbov, B., Biondi, A., Bolarinwa, O. A., Bonny, A., Brenner, H., Buonsenso, D., Burkart, K., Busse, R., Butt, Z. A., Butt, N. S., dos Santos, F. L. C., Cahuana Hurtado, Lucero, Camera, Luis Alberto, Cardenas, R., Carneiro, V. L. A., Catala-Lopez, F., Chandan, J. S., Charan, J., Chavan, P. P., Chen, S. M., Chen, S., Choudhari, S. G., Chowdhury, E. K., Chowdhury, M. A. K., Cirillo, M., Corso, B., Dadras, O., Dahlawi, S. M. A., Dai, X. C., Dandona, L., Dandona, R., Dangel, W. J., Davila-Cervantes, C. A., Davletov, K., Deuba, K., Dhimal, M., Dhimal, M. L., Djalalinia, S., Do, H. P., Doshmangir, L., Duncan, B. B., Effiong, A., Ehsani-Chimeh, E., Elgendy, I. Y., Elhadi, M., El Sayed, I., El Tantawi, M., Erku, D. A., Eskandarieh, S., Fares, J., Farzadfar, F., Ferrero, S., Desideri, L. F., Fischer, F., Foigt, N. A., Foroutan, M., Fukumoto, T., Gaal, P. A., Gaihre, S., Gardner, W. M., Garg, T., Obsa, A. G., Ghafourifard, M., Ghashghaee, A., Ghith, N., Gilani, S. A., Gill, P. S., Goharinezhad, S., Golechha, M., Guadamuz, J. S., Guo, Y. M., Das Gupta, R., Gupta, R., Gupta, V. K., Gupta, V. B., Hamiduzzaman, M., Hanif, A., Haro, J. M., Hasaballah, A. I., Hasan, M. M., Hasan, M. T., Hashi, A., Hay, S. I., Hayat, K., Heidari, M., Heidari, G., Henry, N. J., Herteliu, C., Holla, R., Hossain, S., Hossain, S. J., Hossain, M. B. H., Hosseinzadeh, M., Hostiuc, S., Hoveidamanesh, S., Hsieh, V. C. R., Hu, G. Q., Huang, J. J., Huda, M. M., Ifeagwu, S. C., Ikuta, K. S., Ilesanmi, O. S., Irvani, S. S. N., Islam, R. M., Islam, S. M. S., Ismail, N. E., Iso, H., Isola, G., Itumalla, R., Iwagami, M., Jahani, M. A., Jahanmehr, N., Jain, R., Jakovljevic, M., Janodia, M. D., Jayapal, S. K., Jayaram, S., Jha, R. P., Jonas, J. B., Joo, T., Joseph, N., Jurisson, M., Kabir, A., Kalankesh, L. R., Kalhor, R., Kamath, A. M., Kamenov, K., Kandel, H., Kantar, R. S., Kapoor, N., Karanikolos, M., Katikireddi, S. V., Kavetskyy, T., Kawakami, N., Kayode, G. A., Keikavoosi-Arani, L., Keykhaei, M., Khader, Y. S., Khajuria, H., Khalilov, R., Khammarnia, M., Khan, M. N., Khan, M. A. B., Khan, M., Khezeli, M., Kim, M. S., Kim, Y. J., Kisa, S., Kisa, A., Klymchuk, V., Koly, K. N., Korzh, O., Kosen, S., Koul, P. A., Defo, B. K., Kumar, G. A., Kusuma, D., Kyu, H. H., Larsson, A. O., Lasrado, S., Lee, W. C., Lee, Y. H., Lee, C. B., Li, S. S., Lucchetti, G., Mahajan, P. B., Majeed, A., Makki, A., Malekzadeh, R., Malik, A. A., Malta, D. C., Mansournia, M. A., Mantovani, L. G., Martinez-Valle, A., Martins-Melo, F. R., Masoumi, S. Z., Mathur, M. R., Maude, R. J., Maulik, P. K., McKee, M., Mendoza, W., Menezes, R. G., Mensah, G. A., Meretoja, A., Meretoja, T. J., Mestrovic, T., Michalek, I. M., Mirrakhimov, E. M., Misganaw, A., Misra, S., Moazen, B., Mohammadi, M., Mohammed, S., Moitra, M., Mokdad, A. H., Molokhia, M., Monasta, L., Moni, M. A., Moradi, G., Moreira, R. S., Mosser, J. F., Mostafavi, E., Mouodi, S., Nagarajan, A. J., Nagata, C., Naghavi, M., Nangia, V., Swamy, S. N., Narayana, A. I., Nascimento, B. R., Nassereldine, H., Nayak, B. P., Nazari, J., Negoi, I., Nepal, S., Kandel, S. N., Ngunjiri, J. W., Nguyen, H. L. T, Nguyen, C. T., Ningrum, D. N. A., Noubiap, J. J., Oancea, B., Oghenetega, O. B., Oh, I. H., Olagunju, A. T., Olakunde, B. O., Bali, A. O., Omer, E., Onwujekwe, O. E., Otoiu, A., Padubidri, J. R., Palladino, R., Pana, A., Panda-Jonas, S., Pandi-Perumal, S. R., Pardhan, S., Pasupula, D. K., Pathak, P. K., Patton, G. C., Pawar, S., Pereira, J., Pilania, M., Piroozi, B., Podder, V., Pokhrel, K. N., Postma, M. J., Prada, S. I., Syed, Z. Q., Rabiee, N., Radhakrishnan, R. A., Rahman, M. M., Rahman, M., Rahman, M. H. U., Rahmani, A. M., Ranabhat, C. L., Rao, C. R., Rao, S. J., Rasella, D., Rawaf, S., Rawaf, D. L., Rawal, L., Renzaho, A. M. N., Reshmi, B., Resnikoff, S., Rezapour, A., Riahi, S. M., Ripon, R. K., Sacco, S., Sadeghi, M., Saeed, U., Sahebkar, A., Sahiledengle, B., Sahoo, H., Sahu, M., Salama, J. S., Salamati, P., Samy, A. M., Sanabria, J., Santric-Milicevic, M. M., Sathian, B., Sawhney, M., Schmidt, M. I., Seidu, A. A., Sepanlou, S. G., Seylani, A., Shaikh, M. A., Sheikh, A., Shetty, A., Shigematsu, M., Shiri, R., Shivakumar, K. M., Shokri, A., Singh, J. A., Sinha, D. N., Skryabin, V. Y., Skryabina, A. A., Sofi-Mahmudi, A., Sousa, R. A. R. C., Stephens, J. H., Sun, J., Szocska, M., Tabares-Seisdedos, R., Tadbiri, H., Tamiru, A. T., Thankappan, K. R., Topor-Madry, R., Tovani-Palone, M. R., Tran, M. T. N., Tran, B. X., Tripathi, N., Tripathy, J. P., Troeger, C. E., Uezono, D. R., Ullah, S., Ullah, A., Unnikrishnan, B., Vacante, M., Tahbaz, S. V., Valdez, P. R., Vasic, M., Veroux, M., Vervoort, D., Violante, F. S., Vladimirov, S. K., Vlassov, V., Vo, B., Waheed, Y., Wamai, R. G., Wang, Y. P., Wang, Y. Z., Ward, P., Wiangkham, T., Yadav, L., Jabbari, S. H. Y., Yamagishi, K., Yaya, S., Yazdi-Feyzabadi, V., Yi, S. Y., Yigit, V., Yonemoto, N., Younis, M. Z., Yu, C. H., Yunusa, I., Bin Zaman, S., Zastrozhin, M. S., Zhang, Z. J., Zhong, C. W., Zuniga, Y. M. H., Lim, S. S., Murray, C. J. L., GBD 2019 Healthcare Access Quality, Clinicum, Department of Neurosciences, HUS Comprehensive Cancer Center, Haakenstad, Annie, Yearwood, Jamal Akeem, Fullman, Nancy, Bintz, Corinne, Bienhoff, Kelly, Weaver, Marcia R, Nandakumar, Vishnu, Joffe, Jonah N, Legrand, Kate E, Knight, Megan, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdoli, Amir, Abeldaño Zuñiga, Roberto Ariel, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Afzal, Muhammad Sohail, Afzal, Saira, Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Ali, Ahmed Rashid, Tarik, Aji, Budi, Akande-Sholabi, Wuraola, Alam, Khurshid, Al Hamad, Hanadi, Alhassan, Robert Kaba, Ali, Liaqat, Alipour, Vahid, Aljunid, Syed Mohamed, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amu, Hubert, Amugsi, Dickson A, Ancuceanu, Robert, Andrade, Pedro Prata, Anjum, Afifa, Arabloo, Jalal, Arab-Zozani, Morteza, Ariffin, Hany, Arulappan, Judie, Aryan, Zahra, Ashraf, Tahira, Atnafu, Desta Debalkie, Atreya, Alok, Ausloos, Marcel, Avila-Burgos, Leticia, Ayano, Getinet, Ayanore, Martin Amogre, Azari, Samad, Badiye, Ashish D, Baig, Atif Amin, Bairwa, Mohan, Bakkannavar, Shankar M, Baliga, Shrikala, Banik, Palash Chandra, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Basu, Sanjay, Bayati, Mohsen, Belete, Rebuma, Bell, Arielle Wilder, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhardwaj, Pankaj, Bhardwaj, Nikha, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bibi, Sadia, Bijani, Ali, Bikbov, Bori, Biondi, Antonio, Bolarinwa, Obasanjo Afolabi, Bonny, Aime, Brenner, Hermann, Buonsenso, Danilo, Burkart, Katrin, Busse, Reinhard, Butt, Zahid A, Butt, Nadeem Shafique, Caetano dos Santos, Florentino Luciano, Cahuana-Hurtado, Lucero, Cámera, Luis Alberto, Cárdenas, Rosario, Carneiro, Vera L A, Catalá-López, Ferrán, Chandan, Joht Singh, Charan, Jaykaran, Chavan, Prachi P, Chen, Simiao, Chen, Shu, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Mohiuddin Ahsanul Kabir, Cirillo, Massimo, Corso, Barbara, Dadras, Omid, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dangel, William Jame, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, Deuba, Keshab, Dhimal, Meghnath, Dhimal, Mandira Lamichhane, Djalalinia, Shirin, Do, Huyen Phuc, Doshmangir, Leila, Duncan, Bruce B, Effiong, Andem, Ehsani-Chimeh, Elham, Elgendy, Islam Y, Elhadi, Muhammed, El Sayed, Iman, El Tantawi, Maha, Erku, Daniel Asfaw, Eskandarieh, Sharareh, Fares, Jawad, Farzadfar, Farshad, Ferrero, Simone, Ferro Desideri, Lorenzo, Fischer, Florian, Foigt, Nataliya A, Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andra, Gaihre, Santosh, Gardner, William M, Garg, Tushar, Getachew Obsa, Abera, Ghafourifard, Mansour, Ghashghaee, Ahmad, Ghith, Nermin, Gilani, Syed Amir, Gill, Paramjit Singh, Goharinezhad, Salime, Golechha, Mahaveer, Guadamuz, Jenny S, Guo, Yuming, Gupta, Rajat Da, Gupta, Rajeev, Gupta, Vivek Kumar, Gupta, Veer Bala, Hamiduzzaman, Mohammad, Hanif, Asif, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Md Mehedi, Hasan, M Tasdik, Hashi, Abdiwahab, Hay, Simon I, Hayat, Khezar, Heidari, Mohammad, Heidari, Golnaz, Henry, Nathaniel J, Herteliu, Claudiu, Holla, Ramesh, Hossain, Sahadat, Hossain, Sheikh Jamal, Hossain, Mohammad Bellal Hossain, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Hsieh, Vivian Chia-rong, Hu, Guoqing, Huang, Junjie, Huda, M Mamun, Ifeagwu, Susan C, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Itumalla, Ramaiah, Iwagami, Masao, Jahani, Mohammad Ali, Jahanmehr, Nader, Jain, Rajesh, Jakovljevic, Mihajlo, Janodia, Manthan Dilipkumar, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Jonas, Jost B, Joo, Tama, Joseph, Nitin, Jürisson, Mikk, Kabir, Ali, Kalankesh, Leila R, Kalhor, Rohollah, Kamath, Aruna M, Kamenov, Kaloyan, Kandel, Himal, Kantar, Rami S, Kapoor, Neeti, Karanikolos, Marina, Katikireddi, Srinivasa Vittal, Kavetskyy, Tara, Kawakami, Norito, Kayode, Gbenga A, Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khalilov, Rovshan, Khammarnia, Mohammad, Khan, Md Nuruzzaman, Khan, Moien AB, Khan, Maseer, Khezeli, Mehdi, Kim, Min Seo, Kim, Yun Jin, Kisa, Sezer, Kisa, Adnan, Klymchuk, Vitalii, Koly, Kamrun Nahar, Korzh, Oleksii, Kosen, Soewarta, Koul, Parvaiz A, Kuate Defo, Barthelemy, Kumar, G Anil, Kusuma, Dian, Kyu, Hmwe Hmwe, Larsson, Anders O, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Lee, Chiachi Bonnie, Li, Shanshan, Lucchetti, Giancarlo, Mahajan, Preetam Bhalchandra, Majeed, Azeem, Makki, Alaa, Malekzadeh, Reza, Malik, Ahmad Azam, Malta, Deborah Carvalho, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martinez-Valle, Adolfo, Martins-Melo, Francisco Rogerlândio, Masoumi, Seyedeh Zahra, Mathur, Manu Raj, Maude, Richard Jame, Maulik, Pallab K, Mckee, Martin, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mirrakhimov, Erkin M, Misganaw, Awoke, Misra, Sanjeev, Moazen, Babak, Mohammadi, Mokhtar, Mohammed, Shafiu, Moitra, Modhurima, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moni, Mohammad Ali, Moradi, Ghobad, Moreira, Rafael Silveira, Mosser, Jonathan F, Mostafavi, Ebrahim, Mouodi, Simin, Nagarajan, Ahamarshan Jayaraman, Nagata, Chie, Naghavi, Mohsen, Nangia, Vinay, Narasimha Swamy, Sreeniva, Narayana, Aparna Ichalangod, Nascimento, Bruno Ramo, Nassereldine, Hasan, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Nepal, Samata, Neupane Kandel, Sandhya, Ngunjiri, Josephine W, Nguyen, Huong Lan Thi, Nguyen, Cuong Tat, Ningrum, Dina Nur Anggraini, Noubiap, Jean Jacque, Oancea, Bogdan, Oghenetega, Onome Bright, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Onwujekwe, Obinna E, Otoiu, Adrian, Padubidri, Jagadish Rao, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R, Pardhan, Shahina, Pasupula, Deepak Kumar, Pathak, Praveen Kumar, Patton, George C, Pawar, Shrikant, Pereira, Jeevan, Pilania, Manju, Piroozi, Bakhtiar, Podder, Vivek, Pokhrel, Khem Narayan, Postma, Maarten J, Prada, Sergio I, Quazi Syed, Zahiruddin, Rabiee, Navid, Radhakrishnan, Raghu Anekal, Rahman, Md Mosfequr, Rahman, Mosiur, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahmani, Amir Masoud, Ranabhat, Chhabi Lal, Rao, Chythra R, Rao, Sowmya J, Rasella, Davide, Rawaf, Salman, Rawaf, David Laith, Rawal, Lal, Renzaho, Andre M N, Reshmi, Bhageerathy, Resnikoff, Serge, Rezapour, Aziz, Riahi, Seyed Mohammad, Ripon, Rezaul Karim, Sacco, Simona, Sadeghi, Masoumeh, Saeed, Umar, Sahebkar, Amirhossein, Sahiledengle, Biniyam, Sahoo, Harihar, Sahu, Maitreyi, Salama, Joseph S, Salamati, Payman, Samy, Abdallah M, Sanabria, Juan, Santric-Milicevic, Milena M, Sathian, Brijesh, Sawhney, Monika, Schmidt, Maria Inê, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shaikh, Masood Ali, Sheikh, Aziz, Shetty, Adithi, Shigematsu, Mika, Shiri, Rahman, Shivakumar, K M, Shokri, Azad, Singh, Jasvinder A, Sinha, Dhirendra Narain, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sofi-Mahmudi, Ahmad, Sousa, Raúl A R C, Stephens, Jacqueline H, Sun, Jing, Szócska, Mikló, Tabarés-Seisdedos, Rafael, Tadbiri, Hooman, Tamiru, Animut Tagele, Thankappan, Kavumpurathu Raman, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Tran, Bach Xuan, Tripathi, Niharika, Tripathy, Jaya Prasad, Troeger, Christopher E, Uezono, Deinzel Roble, Ullah, Saif, Ullah, Anayat, Unnikrishnan, Bhaskaran, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vasic, Milena, Veroux, Massimiliano, Vervoort, Dominique, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Waheed, Yasir, Wamai, Richard G, Wang, Yuan-Pang, Wang, Yanzhong, Ward, Paul, Wiangkham, Taweewat, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yaya, Sanni, Yazdi-Feyzabadi, Vahid, Yi, Siyan, Yiğit, Vahit, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yunusa, Ismaeel, Zaman, Sojib Bin, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zhong, Chenwen, Zuniga, Yves Miel H, Lim, Stephen S, Murray, Christopher J L, Lozano, Rafael, Haakenstad, A, Yearwood, J, Fullman, N, Bintz, C, Bienhoff, K, Weaver, M, Nandakumar, V, Joffe, J, Legrand, K, Knight, M, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abeldano Zuniga, R, Adedeji, I, Adekanmbi, V, Adetokunboh, O, Afzal, M, Afzal, S, Agudelo-Botero, M, Ahinkorah, B, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, A, Ahmed Rashid, T, Aji, B, Akande-Sholabi, W, Alam, K, Al Hamad, H, Alhassan, R, Ali, L, Alipour, V, Aljunid, S, Ameyaw, E, Amin, T, Amu, H, Amugsi, D, Ancuceanu, R, Andrade, P, Anjum, A, Arabloo, J, Arab-Zozani, M, Ariffin, H, Arulappan, J, Aryan, Z, Ashraf, T, Atnafu, D, Atreya, A, Ausloos, M, Avila-Burgos, L, Ayano, G, Ayanore, M, Azari, S, Badiye, A, Baig, A, Bairwa, M, Bakkannavar, S, Baliga, S, Banik, P, Barnighausen, T, Barra, F, Barrow, A, Basu, S, Bayati, M, Belete, R, Bell, A, Bhagat, D, Bhagavathula, A, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhattacharyya, K, Bhutta, Z, Bibi, S, Bijani, A, Bikbov, B, Biondi, A, Bolarinwa, O, Bonny, A, Brenner, H, Buonsenso, D, Burkart, K, Busse, R, Butt, Z, Butt, N, Caetano dos Santos, F, Cahuana-Hurtado, L, Camera, L, Cardenas, R, Carneiro, V, Catala-Lopez, F, Chandan, J, Charan, J, Chavan, P, Chen, S, Choudhari, S, Chowdhury, E, Chowdhury, M, Cirillo, M, Corso, B, Dadras, O, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Dangel, W, Davila-Cervantes, C, Davletov, K, Deuba, K, Dhimal, M, Djalalinia, S, Do, H, Doshmangir, L, Duncan, B, Effiong, A, Ehsani-Chimeh, E, Elgendy, I, Elhadi, M, El Sayed, I, El Tantawi, M, Erku, D, Eskandarieh, S, Fares, J, Farzadfar, F, Ferrero, S, Ferro Desideri, L, Fischer, F, Foigt, N, 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Ullah, A, Unnikrishnan, B, Vacante, M, Valadan Tahbaz, S, Valdez, P, Vasic, M, Veroux, M, Vervoort, D, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Waheed, Y, Wamai, R, Wang, Y, Ward, P, Wiangkham, T, Yadav, L, Yahyazadeh Jabbari, S, Yamagishi, K, Yaya, S, Yazdi-Feyzabadi, V, Yi, S, Yigit, V, Yonemoto, N, Younis, M, Yu, C, Yunusa, I, Zaman, S, Zastrozhin, M, Zhang, Z, Zhong, C, Zuniga, Y, Lim, S, Murray, C, Lozano, R, Bill & Melinda Gates Foundation, King Edward Medical University (Pakistán), Kuwait University (Kuwait), Romanian National Authority for Scientific Research and Innovation, Romanian Ministry of Research Innovation and Digitalization, Alexander von Humboldt Foundation, Federal Ministry of Education & Research (Alemania), Unión Europea. Comisión Europea. H2020, University of Aberdeen (Reino Unido), Novo Nordisk Foundation, National Health and Medical Research Council (Australia), National Research, Development and Innovation Office (Hungria), National Records of Scotland (Reino Unido), Medical Research Council (Reino Unido), Scottish Government (Reino Unido), Jatiya Kabi Kazi Nazrul Islam University (Bangladesh), Xiamen University Malaysia (Malasia), National Council for Scientific and Technological Development (Brasil), Ministero della Salute (Italia), Fondazione IRCCS. Istituto Nazionale dei Tumori, King College London, IRCCS Materno Infantile Burlo Garofolo (Italia), Edwards Lifesciences Foundation, Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Brasil), Manipal Academy of Higher Education (India), Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España), Government of Catalonia (España), International Center of Medical Sciences Research (Pakistán), Ain Shams University (Egipto), Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red - CIBERSAM (Salud Mental), INCLIVA Health Research Institute (España), Canadian Institutes of Health Research, Australian Government, and Ministry of Education, Science and Technological Development (Serbia)
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Adult ,Adolescent ,Population ,Global Health ,Health Services Accessibility ,Global Burden of Disease ,Health system quality ,Young Adult ,Nations ,Health systems ,health care access ,Risk Factors ,Quality-Adjusted Life Year ,Humans ,Child ,Global Burden of Disease Study 2019 ,Health-care access ,Aged ,Quality of Health Care ,quality ,performance ,The Healthcare Access and Quality Index ,Risk Factor ,Infant, Newborn ,Infant ,eu-repo/semantics/review [info] ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Health-care quality ,Middle Aged ,3141 Health care science ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Indicator ,Medical-care ,Child, Preschool ,Deaths ,Amenable mortality ,Quality-Adjusted Life Years ,Age groups ,Trends ,Human - Abstract
Background: Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. Methods: We distinguished the overall HAQ Index (ages 0-74 years) from scores for select age groups: the young (ages 0-14 years), working (ages 15-64 years), and post-working (ages 65-74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. Findings: Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9-21·3), as well as among the young (22·5, 19·9-24·7), working (17·2, 15·2-19·1), and post-working (15·1, 13·2-17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6-33·0) on average in low-SDI countries to 83·4 (82·4-84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4-89·0), working (33·8-82·8), and post-working (30·4-79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries. Interpretation: Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young. O Adetokunboh acknowledges support from Department of Science and Innovation and National Research Foundation. S Afzal acknowledges the institutional support of King Edward Medical University. S Aljunid acknowledges Department of Health Policy and Management, College of Public Health, Health Science Centre, Kuwait University for the approval and support to participate in this research project. M Ausloos, C Herteliu, and A Pana acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu also acknowledges partial support by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. T Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the Federal Ministry of Education and Research. B Bikbov acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 703226. Institute of Applied Health Sciences; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Scotland. The salary for N Ghith is covered by a grant from Novo Nordisk Foundation (NNF16OC0021856). V B Gupta acknowledges funding support from National Health and Medical Research Council (NHMRC) Australia. V K Gupta acknowledges funding support from National Health and Medical Research Council (NHMRC) Australia. T Joo acknowledges support from the National Research, Development and Innovation Office of Hungary under grant RRF-2.3.1-21-2022-00006 (Data-driven Health Division of Health Security National Laboratory). S Vittal Katikireddi acknowledges funding from a NRS Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17). M N Khan acknowledges the support of Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh. Y J Kim acknowledges support from the Research Management Centre Xiamen University Malaysia [XMUMRF/2020-C6/ITCM/0004]. G Lucchetti is a grantee of the Brazilian National Council for Scientific and Technological Development Research Productivity - Level 1D. L Mantovani acknowledges support by Italian Ministry of Health Ricerca Corrente - IRCCS Multimedica. M Molokhia acknowledges support by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. L Monasta reports support for the present manuscript from the Italian Ministry of Health on project Ricerca Corrente 34/2017 and payments made to the Institute for Maternal and Child Health IRCCS Burlo Garofolo. R Moreira acknowledges the CNPQ productivity grant (316607/2021-5). B R Nascimento is partially supported by CNPq (Research Productivity Grant, 312382/2019-7), the Edwards Lifesciences Foundation (Improving the prevention and detection of Heart Valve disease across the Lifespan, 2021), and FAPEMIG (grant APQ-000627-20). J R Padubidri acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India for their constant support in conducting research. D Rasella reports financial support from the Spanish Ministry of Science and Innovation and State Research Agency through the Centro de Excelencia Severo Ochoa 2019-2023 programme (CEX2018-000806-S), and financial support from the Generalitat de Catalunya through the Centres de Recerca de Catalunya programme. U Saeed would like to acknowledge the International Center of Medical Sciences Research (ICMSR), Islamabad (44000), Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program. U Saeed would like to acknowledge Kasturba Medical College, Mangalore. Manipal Academy of Higher Education, Manipal for supporting research activities. R T-S is supported by the Spanish Ministry of Science and Innovation, Institute of Health Carlos III, CIBERSAM, INCLIVA (PID2021-129099OB-I00). D Vervoort is supported by the Canadian Institutes of Health Research (CIHR) Vanier Canada Graduate Scholarship. S B Zaman acknowledges receiving a scholarship from the Australian Government Research Training Program (RTP) in support of his academic career. Serbian part of this GBD contribution was co-financed through Grant OI 175 014 of the Ministry of Education Science and Technological Development of The Republic of Serbia. This work was supported, in whole or in part, by the Bill & Melinda Gates Foundation OPP1152504. Under the grant conditions of the Foundation, a Creative Commons Attribution 4.0 Generic License has already been assigned to the Author Accepted Manuscript version that might arise from this submission. Sí
- Published
- 2022
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