3,681 results on '"Ribeiro, Antonio"'
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52. Association between positive serology for COVID-19 and chagas cardiomyopathy progression: The SaMi-Trop project
- Author
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Ferreira, Ariela Mota, Oliveira-da Silva, Léa Campos, Cardoso, Clareci Silva, Oliveira, Cláudia Di Lorenzo, Brito, Bruno Oliveira de Figueiredo, Bierrenbach, Ana Luiza, Santos, Ana Clara de Jesus, Cruz, Dardiane Santos, Leite, Sâmara Fernandes, Jesus, Andréia Brito, Damasceno, Renata Fiúza, Nunes, Maria Carmo Pereira, Molina, Israel, Haikal, Desirée Sant’ Anna, Sabino, Ester Cerdeira, and Ribeiro, Antonio Luiz Pinho
- Published
- 2024
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53. Review of biodiesel production using various feedstocks and its purification through several methodologies, with a specific emphasis on dry washing
- Author
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Camilo, Gabriel L., Queiroz, Ana, Ribeiro, António E., Gomes, Maria Carolina Sérgi, and Brito, Paulo
- Published
- 2024
- Full Text
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54. EzMechanism: an automated tool to propose catalytic mechanisms of enzyme reactions
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Ribeiro, Antonio J. M., Riziotis, Ioannis G., Tyzack, Jonathan D., Borkakoti, Neera, and Thornton, Janet M.
- Published
- 2023
- Full Text
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55. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Brauer, Michael, Roth, Gregory A, Aravkin, Aleksandr Y, Zheng, Peng, Abate, Kalkidan Hassen, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abiodun, Olumide, Abiso, Temesgen Lera, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abukhadijah, Hana Jihad Jihad, Aburuz, Salahdein, Abu-Zaid, Ahmed, Adane, Mesafint Molla, Addo, Isaac Yeboah, Addolorato, Giovanni, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Aden, Bashir, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adibi, Amin, Adnani, Qorinah Estiningtyas 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Ismael R, Cao, Chao, Cao, Fan, Cao, Yubin, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carrero, Juan J, Carugno, Andrea, Carvalho, Felix, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catalá-López, Ferrán, Catapano, Alberico L, Cattaruzza, Maria Sofia, Caye, Arthur, Cederroth, Christopher R, Cegolon, Luca, Cenderadewi, Muthia, Cercy, Kelly M, Cerin, Ester, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Promit Ananyo, Chakraborty, Sandip, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandan, Joht Singh, Chandika, Rama Mohan, Chaturvedi, Pankaj, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Meng Xuan, Chen, Mingling, Chen, Simiao, Cheng, Ching-Yu, Cheng, Esther T W, Cherbuin, Nicolas, Chi, Gerald, Chichagi, Fatemeh, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, William C S, Chong, Bryan, Chopra, Hitesh, Chowdhury, Rajiv, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Sheng-Chia, Chutiyami, Muhammad, Cioffi, Iolanda, Cogen, Rebecca M, Cohen, Aaron J, Columbus, Alyssa, Conde, Joao, Corlateanu, Alexandru, Cortese, Samuele, Cortesi, Paolo Angelo, Costa, Vera Marisa, Costanzo, Simona, Criqui, Michael H, Cruz, Jessica A, Cruz-Martins, Natália, Culbreth, Garland T, da Silva, Alanna Gomes, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Daikwo, Patience Unekwuojo, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, D'Anna, Lucio, Darwesh, Aso Mohammad, Das, Jai K, Das, Subasish, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davitoiu, Dragos Virgil, De la Hoz, Fernando Pio, de la Torre-Luque, Alejandro, De Leo, Diego, Debopadhaya, Shayom, Degenhardt, Louisa, Del Bo', Cristian, Delgado-Enciso, Ivan, Delgado-Saborit, Juana Maria, Demoze, Chalachew Kassaw, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Dervišević, Emina, Desai, Hardik Dineshbhai, Desai, Rupak, Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman, Dhali, Arkadeep, Dhama, Kuldeep, Dhane, Amol S, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dhingra, Sameer, Dhulipala, Vishal R, Dhungana, Raja Ram, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Dinu, Monica, Djalalinia, Shirin, Do, Thanh Chi, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dodangeh, Masoud, Dohare, Sushil, Dokova, Klara Georgieva, Dong, Wanyue, Dongarwar, Deepa, D'Oria, Mario, Dorostkar, Fariba, Dorsey, E Ray, Doshi, Rajkumar, Doshmangir, Leila, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Ashel Chelsea, Dsouza, Haneil Larson, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Dushpanova, Anar, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Ebrahimi, Alireza, Echieh, Chidiebere Peter, Ed-Dra, Abdelaziz, Edinur, Hisham Atan, Edvardsson, David, Edvardsson, Kristina, Efendi, Ferry, Eftekharimehrabad, Aziz, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Arab, Rabie Adel, El Sayed Zaki, Maysaa, El-Dahiyat, Faris, Elemam, Noha Mousaad, Elgar, Frank J, ElGohary, Ghada Metwally Tawfik, Elhabashy, Hala Rashad, Elhadi, Muhammed, Elmehrath, Ahmed O, Elmeligy, Omar Abdelsadek Abdou, Elshaer, Mohammed, Elsohaby, Ibrahim, Emeto, Theophilus I, Esfandiari, Negin, Eshrati, Babak, Eslami, Majid, Esmaeili, Sayed Vahid, Estep, Kara, Etaee, Farshid, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Fahimi, Saman, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faris, Pawan Sirwan, Faro, Andre, Fasina, Folorunso Oludayo, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Fazylov, Timur, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferrara, Pietro, Ferrari, Alize J, Ferreira, Nuno, Fetensa, Getahun, Feyisa, Bikila Regassa, Filip, Irina, Fischer, Florian, Fitriana, Ida, Flavel, Joanne, Flohr, Carsten, Flood, David, Flor, Luisa S, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Force, Lisa M, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Freitas, Alberto, Friedman, Sara D, Fux, Blima, G, Sridevi, Gaal, Peter Andras, Gaihre, Santosh, Gajdács, Márió, Galali, Yaseen, Gallus, Silvano, Gandhi, Aravind P, Ganesan, Balasankar, Ganiyani, Mohammad Arfat, Garcia, Vanessa, Gardner, William M, Garg, Ravindra K, Gautam, Rupesh K, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay B B, Gebremeskel, Teferi Gebru, Gerema, Urge, Getacher, Lemma, Getahun, Genanew K a, Getie, Molla, Ghadirian, Fataneh, Ghafarian, Sadegh, Ghaffari Jolfayi, Amir, Ghailan, Khalid Yaser, Ghajar, Alireza, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghassemi, Fariba, Ghazy, Ramy Mohamed, Gholami, Ali, Gholamrezanezhad, Ali, Gholizadeh, Nasim, Ghorbani, Mahsa, Gil, Artyom Urievich, Gil, Gabriela 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Halboub, Esam S, Halimi, Aram, Hall, Brian J, Haller, Sebastian, Halwani, Rabih, Hamadeh, Randah R, Hamdy, Nadia M, Hameed, Sajid, Hamidi, Samer, Hammoud, Ahmad, Hanif, Asif, Hanifi, Nasrin, Haq, Zaim Anan, Haque, Md Rabiul, Harapan, Harapan, Hargono, Arief, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Ikramul, Hasan, Mohammad Jahid, Hasan, S M Mahmudul, Hasani, Hamidreza, Hasanian, Mohammad, Hashmeh, Nadim, Hasnain, Md Saquib, Hassan, Amr, Hassan, Ikrama, Hassan Zadeh Tabatabaei, Mahgol Sadat, Hassani, Shokoufeh, Hassanipour, Soheil, Hassankhani, Hadi, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hebert, Jeffrey J, Hegazi, Omar E, Hegena, Tadele Yohannes, Heidari, Golnaz, Heidari, Mohammad, Helfer, Bartosz, Hemmati, Mehdi, Henson, Claire A, Herbert, Molly E, Herteliu, Claudiu, Heuer, Austin, Hezam, Kamal, Hinneh, Thomas Kwadwo, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hon, Julia, Hoque, Mohammad Enamul, Horita, Nobuyuki, Hossain, Sahadat, Hosseini, Seyed Ehsan, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoven, Hanno, Hsairi, Mohamed, Hsu, Johnathan M, Hu, Chengxi, Huang, Junjie, Huda, Md Nazmul, Hulland, Erin N, Hultström, Michael, Hushmandi, Kiavash, Hussain, Javid, Hussein, Nawfal R, Huynh, Chantal K, Huynh, Hong-Han, Ibitoye, Segun Emmanuel, Idowu, Oluwatope Olaniyi, Ihler, Audrey L, Ikeda, Nayu, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Irham, Lalu Muhammad, Isa, Mustafa Alhaji, Islam, Md Rabiul, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iwu-Jaja, Chinwe Juliana, J, Vinothini, Jaafari, Jalil, Jacob, Louis, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalilzadeh Yengejeh, Reza, Jamora, Roland Dominic G, Jatau, Abubakar Ibrahim, Javadov, Sabzali, Javaheri, Tahereh, Jayaram, Shubha, Jeganathan, Jayakumar, Jeswani, Bijay Mukesh, Jiang, Heng, Johnson, Catherine O, Jokar, Mohammad, Jomehzadeh, Nabi, Jonas, Jost B, Joo, Tamas, Joseph, Abel, Joseph, Nitin, Joshi, Vivek, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kadashetti, Vidya, Kahn, Ethan M, Kalani, Rizwan, Kaliyadan, Feroze, Kalra, Sanjay, Kamath, Rajesh, Kanagasabai, Thanigaivelan, Kanchan, Tanuj, Kandel, Himal, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kansal, Sushil Kumar, Kapner, Daniel John, Kapoor, Neeti, Karagiannidis, Efstratios, Karajizadeh, Mehrdad, Karakasis, Paschalis, Karanth, Shama D, Karaye, Ibraheem M, Karch, André, Karim, Asima, Karimi, Hanie, Karmakar, Shilpi, Kashoo, Faizan Zaffar, Kasraei, Hengameh, Kassahun, Woldeteklehaymanot Dagne, Kassebaum, Nicholas J, Kassel, Molly B, Katikireddi, Srinivasa Vittal, Kauppila, Joonas H, Kawakami, Norito, Kaydi, Neda, Kayode, Gbenga A, Kazemi, Foad, Keiyoro, Peter Njenga, Kemmer, Laura, Kempen, John H, Kerr, Jessica A, Kesse-Guyot, Emmanuelle, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalil, Mariam, Khalilian, Alireza, Khamesipour, Faham, Khan, Asaduzzaman, Khan, M Nuruzzaman, Khan, Maseer, Khan, Mohammad Jobair, Khan, Moien AB, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khavandegar, Armin, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khodadoust, Elaheh, Khormali, Moein, Khorrami, Zahra, Khosla, Atulya Aman, Khosrowjerdi, Mahmood, Khreis, Haneen, Khusun, Helda, Kifle, Zemene Demelash, Kim, Kwanghyun, Kim, Min Seo, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D, Knudsen, Ann Kristin Skrindo, Koh, David S Q, Kolahi, Ali-Asghar, Kompani, Farzad, Kong, Jianqiu, Koren, Gerbrand, Korja, Miikka, Korshunov, Vladimir Andreevich, Korzh, Oleksii, Kosen, Soewarta, Kothari, Nikhil, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishnamoorthy, Vijay, Krishnamoorthy, Yuvaraj, Krishnan, Bindu, Krohn, Kris J, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kugbey, Nuworza, Kuitunen, Ilari, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, Ashish, Kumar, Nithin, Kumar, Vijay, Kundu, Satyajit, Kurmi, Om P, Kusnali, Asep, Kusuma, Dian, Kutluk, Tezer, La Vecchia, Carlo, Ladan, Muhammad Awwal, Laflamme, Lucie, Lahariya, Chandrakant, Lai, Daphne Teck Ching, Lal, Dharmesh Kumar, Lallukka, Tea, Lám, Judit, Lan, Qing, Lan, Tuo, Landires, Iván, Lanfranchi, Francesco, Langguth, Berthold, Lansingh, Van Charles, Laplante-Lévesque, Ariane, Larijani, Bagher, Larsson, Anders O, Lasrado, Savita, Lauriola, Paolo, Le, Huu-Hoai, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Leasher, Janet L, Ledda, Caterina, Lee, Munjae, Lee, Paul H, Lee, Seung Won, Lee, 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56. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Naghavi, Mohsen, Ong, Kanyin Liane, Aali, Amirali, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abedi, Aidin, Abegaz, Kedir Hussein, Abhilash, E S, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Accrombessi, Manfred Mario Kokou, Adal, Tadele Girum, Adamu, Abdu A, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adekanmbi, Victor, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Admass, Biruk Adie Adie, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Aanuoluwapo Adeyimika, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agasthi, Pradyumna, Aggarwal, Manik, Aghamiri, Shahin, Agide, Feleke Doyore, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Mehrunnisha Sharif, Ahmed, Meqdad Saleh, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akbarialiabad, Hossein, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Alahdab, Fares, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Noore, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Al-Azzam, Sayer, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alcalde-Rabanal, Jacqueline Elizabeth, Aldawsari, Khalifah A, Aldhaleei, Wafa A, Aldridge, Robert W, Alema, Haileselasie Berhane, Alemayohu, Mulubirhan Assefa, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Alikhani, Reyhaneh, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljasir, Mohammad A M, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Louay, Almidani, Omar, Alomari, Mahmoud A, Al-Omari, Basem, Alonso, Jordi, Alqahtani, Jaber S, Alqalyoobi, Shehabaldin, Alqutaibi, Ahmed Yaseen, Al-Sabah, Salman Khalifah, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Amani, Reza, Amare, Azmeraw T, Amegbor, Prince M, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anoushiravani, Amir, Ansari, Hossein, Ansariadi, Ansariadi, Ansari-Moghaddam, Alireza, Antony, Catherine M, Antriyandarti, Ernoiz, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Aqeel, Muhammad, Arab, Juan Pablo, Arabloo, Jalal, Arafat, Mosab, Aravkin, Aleksandr Y, Areda, Demelash, Aremu, Abdulfatai, Aremu, Olatunde, Ariffin, Hany, Arkew, Mesay, Armocida, Benedetta, Arndt, Michael Benjamin, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Asaad, Malke, Asadi-Lari, Mohsen, Asgedom, Akeza Awealom, Asghariahmadabad, Mona, Asghari-Jafarabadi, Mohammad, Ashraf, Muhammad, Aslani, Armin, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atinafu, Bantalem Tilaye Tilaye, Atlaw, Habtamu Wondmagegn, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awedew, Atalel Fentahun, Aweke, Amlaku Mulat, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayuso-Mateos, Jose L, Ayyoubzadeh, Seyed Mohammad, Azadnajafabad, Sina, Azevedo, Rui M S, Azzam, Ahmed Y, B, Darshan B, Babu, Abraham Samuel, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bah, Sulaiman, Bahadorikhalili, Saeed, Bahmanziari, Najmeh, Bai, Ruhai, Baig, Atif Amin, Baker, Jennifer L, Bako, Abdulaziz T, Bakshi, Ravleen Kaur, Balakrishnan, Senthilkumar, Balasubramanian, Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Banach, Maciej, Bandyopadhyay, Soham, Banik, Palash Chandra, Bansal, Hansi, Bansal, Kannu, Barbic, Franca, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrero, Lope H, Barrow, Amadou, Barteit, Sandra, Barua, Lingkan, Basharat, Zarrin, Bashiri, Azadeh, Basiru, Afisu, Baskaran, Pritish, Basnyat, Buddha, Bassat, Quique, Basso, João Diogo, Basting, Ann V L, Basu, Sanjay, Batra, Kavita, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Beaney, Thomas, Bedi, Neeraj, Beghi, Massimiliano, Behboudi, Emad, Behera, Priyamadhaba, Behnoush, Amir Hossein, Behzadifar, Masoud, Beiranvand, Maryam, Bejarano Ramirez, Diana Fernanda, Béjot, Yannick, Belay, Sefealem Assefa, Belete, Chalie Mulu, Bell, Michelle L, Bello, Muhammad Bashir, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bender, Rose Grace, Bensenor, Isabela M, Beran, Azizullah, Berezvai, Zombor, Berhie, Alemshet Yirga, Berice, Betyna N, Bernstein, Robert S, Bertolacci, Gregory J, Bettencourt, Paulo J G, Beyene, Kebede A, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhandari, Dinesh, Bhangdia, Kayleigh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhardwaj, Prarthna V, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Bisulli, Francesca, Biswas, Atanu, Biswas, Bijit, Bitaraf, Saeid, Bitew, Bikes Destaw, Bitra, Veera R, Bjørge, Tone, Boachie, Micheal Kofi, Boampong, Mary Sefa, Bobirca, Anca Vasilica, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bogale, Kassawmar Angaw, Bohlouli, Somayeh, Bolarinwa, Obasanjo Afolabi, Boloor, Archith, Bonakdar Hashemi, Milad, Bonny, Aime, Bora, Kaustubh, Bora Basara, Berrak, Borhany, Hamed, Borzutzky, Arturo, Bouaoud, Souad, Boustany, Antoine, Boxe, Christopher, Boyko, Edward J, Brady, Oliver J, Braithwaite, Dejana, Brant, Luisa C, Brauer, Michael, Brazinova, Alexandra, Brazo-Sayavera, Javier, Breitborde, Nicholas J K, Breitner, Susanne, Brenner, Hermann, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Britton, Gabrielle, Brown, Julie, Brugha, Traolach, Bulamu, Norma B, Bulto, Lemma N, Buonsenso, Danilo, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Calina, Daniela, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, Ismael R, Cao, Chao, Cao, Yin, Capodici, Angelo, Cárdenas, Rosario, Carr, Sinclair, Carreras, Giulia, Carrero, Juan J, Carugno, Andrea, Carvalheiro, Cristina G, Carvalho, Felix, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catalá-López, Ferrán, Catapano, Alberico L, Cattaruzza, Maria Sofia, Cederroth, Christopher R, Cegolon, Luca, Cembranel, Francieli, Cenderadewi, Muthia, Cercy, Kelly M, Cerin, Ester, Cevik, Muge, Chadwick, Joshua, Chahine, Yaacoub, Chakraborty, Chiranjib, Chakraborty, Promit Ananyo, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandika, Rama Mohan, Chandrasekar, Eeshwar K, Chang, Chin-Kuo, Chang, Jung-Chen, Chanie, Gashaw Sisay, Charalampous, Periklis, Chattu, Vijay Kumar, Chaturvedi, Pankaj, Chatzimavridou-Grigoriadou, Victoria, Chaurasia, Akhilanand, Chen, Angela W, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Meng Xuan, Chen, Simiao, Cheng, Ching-Yu, Cheng, Esther T W, Cherbuin, Nicolas, Cheru, Wondimye Ashenafi, Chien, Ju-Huei, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, William C S, Chong, Bryan, Chopra, Hitesh, Choudhari, Sonali Gajanan, Chowdhury, Rajiv, Christopher, Devasahayam J, Chukwu, Isaac Sunday, Chung, Eric, Chung, Erin, Chung, Eunice, Chung, Sheng-Chia, Chutiyami, Muhammad, Cindi, Zinhle, Cioffi, Iolanda, Claassens, Mareli M, Claro, Rafael M, Coberly, Kaleb, Cogen, Rebecca M, Columbus, Alyssa, Comfort, Haley, Conde, Joao, Cortese, Samuele, Cortesi, Paolo Angelo, Costa, Vera Marisa, Costanzo, Simona, Cousin, Ewerton, Couto, Rosa A S, Cowden, Richard G, Cramer, Kenneth Michael, Criqui, Michael H, Cruz-Martins, Natália, Cuadra-Hernández, Silvia Magali, Culbreth, Garland T, Cullen, Patricia, Cunningham, Matthew, Curado, Maria paula, Dadana, Sriharsha, Dadras, Omid, Dai, Siyu, Dai, Xiaochen, Dai, Zhaoli, Dalli, Lachlan L, Damiani, Giovanni, Darega Gela, Jiregna, Das, Jai K, Das, Saswati, Das, Subasish, Dascalu, Ana Maria, Dash, Nihar Ranjan, Dashti, Mohsen, Dastiridou, Anna, Davey, Gail, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davletov, Kairat, De Leo, Diego, de Luca, Katie, Debele, Aklilu Tamire, Debopadhaya, Shayom, Degenhardt, Louisa, Dehghan, Azizallah, Deitesfeld, Lee, Del Bo', Cristian, Delgado-Enciso, Ivan, Demessa, Berecha Hundessa, Demetriades, Andreas K, Deng, Ke, Deng, Xinlei, Denova-Gutiérrez, Edgar, Deravi, Niloofar, Dereje, Nebiyu, Dervenis, Nikolaos, Dervišević, Emina, Des Jarlais, Don C, Desai, Hardik Dineshbhai, Desai, Rupak, Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman, Dhali, Arkadeep, Dhama, Kuldeep, Dhimal, Meghnath, Dhingra, Sameer, Dhulipala, Vishal R, Dias da Silva, Diana, Diaz, Daniel, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Ding, Huanghe, Dinis-Oliveira, Ricardo Jorge, Dirac, M Ashworth, Djalalinia, Shirin, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Doaei, Saeid, Dodangeh, Masoud, Dodangeh, Milad, Dohare, Sushil, Dokova, Klara Georgieva, Dolecek, Christiane, Dominguez, Regina-Mae Villanueva, Dong, Wanyue, Dongarwar, Deepa, D'Oria, Mario, Dorostkar, Fariba, Dorsey, E Ray, dos Santos, Wendel Mombaque, Doshi, Rajkumar, Doshmangir, Leila, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Haneil Larson, Dsouza, Viola, Du, Mi, Dube, John, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dwyer-Lindgren, Laura, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, E'mar, Abdel Rahman, Eboreime, Ejemai, Ebrahimi, Alireza, Echieh, Chidiebere Peter, Edinur, Hisham Atan, Edvardsson, David, Edvardsson, Kristina, Efendi, Defi, Efendi, Ferry, Effendi, Diyan Ermawan, Eikemo, Terje Andreas, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Sayed, Iman, Elbarazi, Iffat, Elema, Teshome Bekele, Elemam, Noha Mousaad, Elgar, Frank J, Elgendy, Islam Y, ElGohary, Ghada Metwally Tawfik, Elhabashy, Hala Rashad, Elhadi, Muhammed, El-Huneidi, Waseem, Elilo, Legesse Tesfaye, Elmeligy, Omar Abdelsadek Abdou, Elmonem, Mohamed A, Elshaer, Mohammed, Elsohaby, Ibrahim, Emeto, Theophilus I, Engelbert Bain, Luchuo, Erkhembayar, Ryenchindorj, Esezobor, Christopher Imokhuede, Eshrati, Babak, Eskandarieh, Sharareh, Espinosa-Montero, Juan, Esubalew, Habtamu, Etaee, Farshid, Fabin, Natalia, Fadaka, Adewale Oluwaseun, Fagbamigbe, Adeniyi Francis, Fahim, Ayesha, Fahimi, Saman, Fakhri-Demeshghieh, Aliasghar, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faris, Pawan Sirwan, Faro, Andre, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Fattahi, Hamed, Fauk, Nelsensius Klau, Fazeli, Pooria, Feigin, Valery L, Feizkhah, Alireza, Fekadu, Ginenus, Feng, Xiaoru, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferrante, Daniela, Ferrari, Alize J, Ferreira, Nuno, Fetensa, Getahun, Feyisa, Bikila Regassa, Filip, Irina, Fischer, Florian, Flavel, Joanne, Flood, David, Florin, Bobirca Teodor, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Fomenkov, Artem Alekseevich, Foroutan, Behzad, Foroutan, Masoud, Forthun, Ingeborg, Fortuna, Daniela, Foschi, Matteo, Fowobaje, Kayode Raphael, Francis, Kate Louise, Franklin, Richard Charles, Freitas, Alberto, Friedman, Joseph, Friedman, Sara D, Fukumoto, Takeshi, Fuller, John E, Fux, Blima, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Gakidou, Emmanuela, Galali, Yaseen, Galles, Natalie C, Gallus, Silvano, Ganbat, Mandukhai, Gandhi, Aravind P, Ganesan, Balasankar, Ganiyani, Mohammad Arfat, Garcia-Gordillo, MA, Gardner, William M, Garg, Jalaj, Garg, Naval, Gautam, Rupesh K, Gbadamosi, Semiu Olatunde, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremeskel, Teferi Gebru, Georgescu, Simona Roxana, Getachew, Tamirat, Gething, Peter W, Getie, Molla, Ghadiri, Keyghobad, Ghahramani, Sulmaz, Ghailan, Khalid Yaser, Ghasemi, Mohammad-Reza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghashghaee, Ahmad, Ghassemi, Fariba, Ghazy, Ramy Mohamed, Ghimire, Ajnish, Ghoba, Sama, Gholamalizadeh, Maryam, Gholamian, Asadollah, Gholamrezanezhad, Ali, Gholizadeh, Nasim, Ghorbani, Mahsa, Ghorbani Vajargah, Pooyan, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Gillum, Richard F, Ginindza, Themba G, Girmay, Alem, Glasbey, James C, Gnedovskaya, Elena V, Göbölös, Laszlo, Godinho, Myron Anthony, Goel, Amit, Golchin, Ali, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Gomes, Nelson G M, Gona, Philimon N, Gopalani, Sameer Vali, Gorini, Giuseppe, Goudarzi, Houman, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Goyal, Anmol, Grada, Ayman, Graham, Simon Matthew, Grivna, Michal, Grosso, Giuseppe, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Gudeta, Mesay Dechasa, Guha, Avirup, Guicciardi, Stefano, Guimarães, Rafael Alves, Gulati, Snigdha, Gunawardane, Damitha Asanga, Gunturu, Sasidhar, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Manoj Kumar, Gupta, Mohak, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Gurmessa, Lami, Gutiérrez, Reyna Alma, Habibzadeh, Farrokh, Habibzadeh, Parham, Haddadi, Rasool, Hadei, Mostafa, Hadi, Najah R, Haep, Nils, Hafezi-Nejad, Nima, Hailu, Alemayehu, Haj-Mirzaian, Arvin, Halboub, Esam S, Hall, Brian J, Haller, Sebastian, Halwani, Rabih, Hamadeh, Randah R, Hameed, Sajid, Hamidi, Samer, Hamilton, Erin B, Han, Chieh, Han, Qiuxia, Hanif, Asif, Hanifi, Nasrin, Hankey, Graeme J, Hanna, Fahad, Hannan, Md Abdul, Haque, Md Nuruzzaman, Harapan, Harapan, Hargono, Arief, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Ikramul, Hasan, M Tasdik, Hasani, Hamidreza, Hasanian, Mohammad, Hashi, Abdiwahab, Hasnain, Md Saquib, Hassan, Ikrama, Hassanipour, Soheil, Hassankhani, Hadi, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, He, Jiawei, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Golnaz, Heidari, Mohammad, Heidari-Foroozan, Mahsa, Helfer, Bartosz, Hendrie, Delia, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Hesami, Hamed, Hezam, Kamal, Hill, Catherine L, Hiraike, Yuta, Holla, Ramesh, Horita, Nobuyuki, Hossain, Md Mahbub, Hossain, Sahadat, Hosseini, Mohammad-Salar, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hosseinzadeh Adli, Ahmad, Hostiuc, Mihaela, Hostiuc, Sorin, Hsairi, Mohamed, Hsieh, Vivian Chia-rong, Hsu, Rebecca L, Hu, Chengxi, Huang, Junjie, Hultström, Michael, Humayun, Ayesha, Hundie, Tsegaye Gebreyes, Hussain, Javid, Hussain, M Azhar, Hussein, Nawfal R, Hussien, Foziya Mohammed, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ibrahim, Khalid S, Iftikhar, Pulwasha Maria, Ijo, Desta, Ikiroma, Adalia I, Ikuta, Kevin S, Ikwegbue, Paul Chukwudi, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inamdar, Sumant, Indriasih, Endang, Iqhrammullah, Muhammad, Iradukunda, Arnaud, Iregbu, Kenneth Chukwuemeka, Islam, Md Rabiul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Iso, Hiroyasu, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iyamu, Ihoghosa Osamuyi, Iyer, Mahalaxmi, J, Linda Merin, Jaafari, Jalil, Jacob, Louis, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Jafarinia, Morteza, Jafarzadeh, Abdollah, Jaggi, Khushleen, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jaiswal, Abhishek, Jamshidi, Elham, Janko, Mark M, Jatau, Abubakar Ibrahim, Javadov, Sabzali, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jebai, Rime, Jee, Sun Ha, Jeganathan, Jayakumar, Jha, Anil K, Jha, Ravi Prakash, Jiang, Heng, Jin, Yingzhao, Johnson, Olatunji, Jokar, Mohammad, Jonas, Jost B, Joo, Tamas, Joseph, Abel, Joseph, Nitin, Joshua, Charity Ehimwenma, Joshy, Grace, Jozwiak, Jacek Jerzy, Jürisson, Mikk, K, Vaishali, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kadashetti, Vidya, Kadir, Dler Hussein, Kalani, Rizwan, Kalankesh, Laleh R, Kalankesh, Leila R, Kaliyadan, Feroze, Kalra, Sanjay, Kamal, Vineet Kumar, Kamarajah, Sivesh Kathir, Kamath, Rajesh, Kamiab, Zahra, Kamyari, Naser, Kanagasabai, Thanigaivelan, Kanchan, Tanuj, Kandel, Himal, Kanmanthareddy, Arun R, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kannan S, Suthanthira, Kansal, Sushil Kumar, Kantar, Rami S, Kapoor, Neeti, Karajizadeh, Mehrdad, Karanth, Shama D, Karasneh, Reema A, Karaye, Ibraheem M, Karch, André, Karim, Asima, Karimi, Salah Eddin, Karimi Behnagh, Arman, Kashoo, Faizan Zaffar, Kasnazani, Qalandar Hussein Abdulkarim, Kasraei, Hengameh, Kassebaum, Nicholas J, Kassel, Molly B, Kauppila, Joonas H, Kaur, Navjot, Kawakami, Norito, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Kazmi, Tahseen Haider, Kebebew, Getu Mosisa, Kebede, Adera Debella, Kebede, Fassikaw, Keflie, Tibebeselassie S, Keiyoro, Peter Njenga, Keller, Cathleen, Kelly, Jaimon Terence, Kempen, John H, Kerr, Jessica A, Kesse-Guyot, Emmanuelle, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Nauman, Khalil, Anees Ahmed, Khalilian, Alireza, Khamesipour, Faham, Khan, Ajmal, Khan, Asaduzzaman, Khan, Gulfaraz, Khan, Ikramullah, Khan, Imteyaz 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Mindy D, Szócska, Miklós, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabish, Mohammad, TADAKAMADLA, JYOTHI, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taiba, Jabeen, Takahashi, Ken, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tandukar, Sarmila, Tang, Haosu, Tang, Hong K, Tarigan, Ingan Ukur, Tariku, Mengistie Kassahun, Tariqujjaman, Md, Tarkang, Elvis Enowbeyang, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tefera, Yibekal Manaye, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Tesler, Riki, Teye-Kwadjo, Enoch, Thakur, Rishu, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Tharwat, Samar, Thayakaran, Rasiah, Thomas, Nihal, Thomas, Nikhil Kenny, Thomson, Azalea M, Thrift, Amanda G, Thum, Chern Choong Chern, Thygesen, Lau Caspar, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tiruye, Tenaw Yimer, Titova, Mariya Vladimirovna, Tonelli, Marcello, Topor-Madry, Roman, Toriola, Adetunji T, Torre, Anna E, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Jasmine T, Tran, Nghia Minh, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tung, Kang, Tyrovolas, Stefanos, Uddin, Sayed Mohammad Nazim, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Irfan, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umeokonkwo, Chukwuma David, Unim, Brigid, Unnikrishnan, Bhaskaran, Unsworth, Carolyn Anne, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Van de Velde, Sarah M, Van den Eynde, Jef, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villanueva, Gabriela Ines, Vinayak, Manish, Violante, Francesco S, Viskadourou, Maria, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Vongpradith, Avina, Vos, Theo, Vujcic, Isidora S, Vukovic, Rade, Wafa, Hatem A, Waheed, Yasir, Wamai, Richard G, Wang, Cong, Wang, Ning, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Waqas, Muhammad, Ward, Paul, Wassie, Emebet Gashaw, Watson, Stefanie, Watson, Stephanie Louise Watson, Weerakoon, Kosala Gayan, Wei, Melissa Y, Weintraub, Robert G, Weiss, Daniel J, Westerman, Ronny, Whisnant, Joanna L, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wilandika, Angga, Wilkerson, Caroline, Willeit, Peter, Wilson, Shadrach, Wojewodzic, Marcin W, Woldegebreal, Demewoz H, Wolf, Axel Walter, Wolfe, Charles D A, Wondimagegene, Yohannes Addisu, Wong, Yen Jun, Wongsin, Utoomporn, Wu, Ai-Min, Wu, Chenkai, Wu, Felicia, Wu, Xinsheng, Wu, Zenghong, Xia, Juan, Xiao, Hong, Xie, Yang, Xu, Suowen, Xu, Wang-Dong, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadollahpour, Ali, Yamagishi, Kazumasa, Yang, Danting, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yaribeygi, Habib, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesiltepe, Metin, Yesuf, Subah Abderehim, Yezli, Saber, Yi, Siyan, Yigezu, Amanuel, Yiğit, Arzu, Yiğit, Vahit, Yip, Paul, Yismaw, Malede Berihun, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yoon, Seok-Jun, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Yuh, Faith H, Zadey, Siddhesh, Zadnik, Vesna, Zafari, Nima, Zakham, Fathiah, Zaki, Nazar, Zaman, Sojib Bin, Zamora, Nelson, Zand, Ramin, Zangiabadian, Moein, Zar, Heather J, Zare, Iman, Zarrintan, Armin, Zeariya, Mohammed G M, Zeinali, Zahra, Zhang, Haijun, Zhang, Jianrong, Zhang, Jingya, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Ziafati, Makan, Zielińska, Magdalena, Zitoun, Osama A, Zoladl, Mohammad, Zou, Zhiyong, Zuhlke, Liesl J, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Wool, Eve E, and Murray, Christopher J L
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- 2024
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57. How Convolutional Neural Networks Deal with Aliasing
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Ribeiro, Antônio H. and Schön, Thomas B.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Signal Processing - Abstract
The convolutional neural network (CNN) remains an essential tool in solving computer vision problems. Standard convolutional architectures consist of stacked layers of operations that progressively downscale the image. Aliasing is a well-known side-effect of downsampling that may take place: it causes high-frequency components of the original signal to become indistinguishable from its low-frequency components. While downsampling takes place in the max-pooling layers or in the strided-convolutions in these models, there is no explicit mechanism that prevents aliasing from taking place in these layers. Due to the impressive performance of these models, it is natural to suspect that they, somehow, implicitly deal with this distortion. The question we aim to answer in this paper is simply: "how and to what extent do CNNs counteract aliasing?" We explore the question by means of two examples: In the first, we assess the CNNs capability of distinguishing oscillations at the input, showing that the redundancies in the intermediate channels play an important role in succeeding at the task; In the second, we show that an image classifier CNN while, in principle, capable of implementing anti-aliasing filters, does not prevent aliasing from taking place in the intermediate layers., Comment: To appear in the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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- 2021
58. Portuguese participation in peacekeeping operations
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Ribeiro, Antonio Goncalves, LtGen
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PEACEKEEPING - Portugal ,ROLES AND MISSIONS - Armed Forces - Portugal - Abstract
illus por tab map
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- 1998
59. Efficacy of three benznidazole dosing strategies for adults living with chronic Chagas disease (MULTIBENZ): an international, randomised, double-blind, phase 2b trial
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Bosch-Nicolau, Pau, Fernández, Marisa L, Sulleiro, Elena, Villar, Juan Carlos, Perez-Molina, José A, Correa-Oliveira, Rodrigo, Sosa-Estani, Sergio, Sánchez-Montalvá, Adrián, del Carmen Bangher, Maria, Moreira, Otacilio C, Salvador, Fernando, Mota Ferreira, Ariela, Eloi-Santos, Silvana Maria, Serre-Delcor, Núria, Ramírez, Juan Carlos, Silgado, Aroa, Oliveira, Inés, Martín, Oihane, Aznar, Maria Luisa, Ribeiro, Antonio Luiz P, Almeida, Paulo Emilio Clementino, Chamorro-Tojeiro, Sandra, Espinosa-Pereiro, Juan, de Paula, Alfredo Mauricio Batista, Váquiro-Herrera, Eliana, Tur, Carmen, and Molina, Israel
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- 2024
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60. Outcomes of latent rheumatic heart disease: External validation of a simplified score in patients with and without secondary prophylaxis
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Nascimento, Bruno R., Nunes, Maria Carmo P., da Silva, Jose Luiz P., Steer, Andrew, Engelman, Daniel, Okello, Emmy, Rwebembera, Joselyn, Zuhlke, Liesl, Mirabel, Mariana, Nakitto, Miriam, Sarnacki, Rachel, Ribeiro, Antonio Luiz P., Sable, Craig A., and Beaton, Andrea Z.
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- 2024
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61. Venomous gland transcriptome and venom proteomic analysis of the scorpion Androctonus amoreuxi reveal new peptides with anti-SARS-CoV-2 activity
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Ghazal, Ahmad, Clarke, David, Abdel-Rahman, Mohamed A., Ribeiro, Antonio, Collie-Duguid, Elaina, Pattinson, Craig, Burgoyne, Kate, Muhammad, Taj, Alfadhel, Sanad, Heidari, Zeynab, Samir, Reham, Gerges, Mariam M., Nkene, Istifanus, Colamarino, Rosa A., Hijazi, Karolin, and Houssen, Wael E.
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- 2024
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62. Emerging applications of Sterculia striata gum in medical, pharmaceutical, and environmental fields: Prospects and challenges
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Freitas, Alessandra Ribeiro, Ribeiro, António José, Santos, Pauline Sousa dos, Oliveira, Thaísa Cardoso de, de Oliveira, Jabson Herber Profiro, Osajima, Josy A., Ribeiro, Alessandra Braga, Veiga, Francisco, Bezerra, Roosevelt D.S., Silva, Albert S., Soares-Sobrinho, José Lamartine, Muniz, Edvani Curti, and Silva-Filho, Edson C.
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- 2024
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63. Prevalence of clinical forms of Chagas disease: a systematic review and meta-analysis – data from the RAISE study
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Nascimento, Bruno Ramos, Naback, André Dias Nassar, Santos, Beatriz Marino Pena, Geissbühler, Yvonne, Demacq, Caroline, Quijano, Monica, Perel, Pablo A., Molina, Israel, Machado, Isis Eloah, Cousin, Ewerton, Mosser, Jonathan F., Carvalho, Pedro Emanuel de Paula, Martins-Melo, Francisco Rogerlândio, and Ribeiro, Antonio Luiz Pinho
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- 2024
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64. Automatic diagnosis of the 12-lead ECG using a deep neural network
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Ribeiro, Antônio H., Ribeiro, Manoel Horta, Paixão, Gabriela M. M., Oliveira, Derick M., Gomes, Paulo R., Canazart, Jéssica A., Ferreira, Milton P. S., Andersson, Carl R., Macfarlane, Peter W., Meira Jr., Wagner, Schön, Thomas B., and Ribeiro, Antonio Luiz P.
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Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Signal Processing ,Statistics - Machine Learning - Abstract
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn tasks by examples. This technology has recently achieved striking success in a variety of task and there are great expectations on how it might improve clinical practice. Here we present a DNN model trained in a dataset with more than 2 million labeled exams analyzed by the Telehealth Network of Minas Gerais and collected under the scope of the CODE (Clinical Outcomes in Digital Electrocardiology) study. The DNN outperform cardiology resident medical doctors in recognizing 6 types of abnormalities in 12-lead ECG recordings, with F1 scores above 80% and specificity over 99%. These results indicate ECG analysis based on DNNs, previously studied in a single-lead setup, generalizes well to 12-lead exams, taking the technology closer to the standard clinical practice., Comment: A preliminary version of this work titled: "Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network " was presented in the Machine Learning for Health Workshop at NeurIPS 2018 and was made available under a different identifier: arXiv:1811.12194. The current version subsumes all previous versions
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- 2019
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65. Reasons for disagreement between screening and standard echocardiography in primary care: data from the PROVAR + study: Disagreement between screening and standard echo
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Galdino, Bruno F., Amaral, Arthur M., Santos, Luiza P. A., de Nogueira, Marcelo Augusto A., Rocha, Rodrigo T. L., Nunes, Maria Carmo P., Beaton, Andrea Z., Oliveira, Kaciane K. B., Franco, Juliane, Barbosa, Márcia M., Silva, Victor R. H., Reese, Alison T., Ribeiro, Antonio Luiz P., Sable, Craig A., and Nascimento, Bruno R.
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- 2023
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66. Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics
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Ribeiro, Antônio H., Hendriks, Johannes N., Wills, Adrian G., and Schön, Thomas B.
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Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Systems and Control ,Statistics - Machine Learning - Abstract
System identification aims to build models of dynamical systems from data. Traditionally, choosing the model requires the designer to balance between two goals of conflicting nature; the model must be rich enough to capture the system dynamics, but not so flexible that it learns spurious random effects from the dataset. It is typically observed that the model validation performance follows a U-shaped curve as the model complexity increases. Recent developments in machine learning and statistics, however, have observed situations where a "double-descent" curve subsumes this U-shaped model-performance curve. With a second decrease in performance occurring beyond the point where the model has reached the capacity of interpolating - i.e., (near) perfectly fitting - the training data. To the best of our knowledge, such phenomena have not been studied within the context of dynamic systems. The present paper aims to answer the question: "Can such a phenomenon also be observed when estimating parameters of dynamic systems?" We show that the answer is yes, verifying such behavior experimentally both for artificially generated and real-world datasets., Comment: To appear in the Proceedings of the 19th IFAC Symposium in System Identification (2021)
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- 2020
67. Deep Energy-Based NARX Models
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Hendriks, Johannes N., Gustafsson, Fredrik K., Ribeiro, Antônio H., Wills, Adrian G., and Schön, Thomas B.
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Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Systems and Control - Abstract
This paper is directed towards the problem of learning nonlinear ARX models based on system input--output data. In particular, our interest is in learning a conditional distribution of the current output based on a finite window of past inputs and outputs. To achieve this, we consider the use of so-called energy-based models, which have been developed in allied fields for learning unknown distributions based on data. This energy-based model relies on a general function to describe the distribution, and here we consider a deep neural network for this purpose. The primary benefit of this approach is that it is capable of learning both simple and highly complex noise models, which we demonstrate on simulated and experimental data.
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- 2020
68. Association of hypertension and insulin resistance in individuals free of diabetes in the ELSA-Brasil cohort
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Castro, Luísa, Brant, Luísa, Diniz, Maria de Fátima, Lotufo, Paulo, Bensenor, Isabela Judith, Chor, Dora, Griep, Rosane, Barreto, Sandhi Maria, and Ribeiro, Antonio Luiz
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- 2023
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69. Didactic Analysis of Olive Mill Wastewaters Antimicrobial Activity
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Afonso, Inês S., Duarte, Cristina, Ribeiro, António, Amaral, Joana S., Ribeiro, João, Huang, Ronghuai, Series Editor, Kinshuk, Series Editor, Jemni, Mohamed, Series Editor, Chen, Nian-Shing, Series Editor, Spector, J. Michael, Series Editor, García-Peñalvo, Francisco José, editor, and García-Holgado, Alicia, editor
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- 2023
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70. Thrombin generation and all-cause mortality in The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)
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Gonçalves Resende Ferreira, Letícia, Maria Barreto, Sandhi, Bicalho Maluf, Chams, Luiz Pinho Ribeiro, Antônio, das Graças Carvalho, Maria, Carvalho Figueiredo, Roberta, and Romana Alves Rios, Danyelle
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- 2024
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71. Performance of a polymeric coating material applied to a concrete structure affected by internal expansive chemical reactions
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Custódio, João, Silva, Helena, Rodrigues, Maria Paula, Cabral-Fonseca, Susana, Ribeiro, António Bettencourt, and Morais, Filipa
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- 2024
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72. Definition of new stopping criteria for the characterization of permanent deformation of granular materials
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Ribeiro Araújo, Matheus Jesus, de Araújo Barroso, Suelly Helena, Alves Ribeiro, Antônio Júnior, and de Assis Franco Vieira, Francisco
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- 2024
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73. Adherence to the Dietary Approaches to Stop Hypertension (DASH) and Serum Urate Concentrations: A Longitudinal Analysis from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)
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Fajardo, Virgínia C, Barreto, Sandhi Maria, Coelho, Carolina G, Diniz, Maria de Fátima HS, Molina, Maria del Carmen B, Ribeiro, Antonio Luiz P, and Telles, Rosa W
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- 2024
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74. Vagal dysautonomia in patients with Chagas disease and mortality: 14-year results of a population cohort of the elderly
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Moraes, Diego N., Nascimento, Bruno R., Lima-Costa, Maria Fernanda, Soares, Carla Paula M., and Ribeiro, Antonio Luiz P.
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- 2024
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75. Abstract 13245: Neural Network-Derived Electrocardiographic Features Predict Future Cardiovascular Disease and All-Cause Mortality
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Sau, Arunashis, Ribeiro, Antonio, McGurk, Kathryn A, Pastika, Libor, Bajaj, Nikesh, Ardissino, Maddalena, Chen, Jun Yu, Wu, Huiyi, Shi, Xili, Hnatkova, Katerina, Zheng, Sean, Britton, Anne, Shipley, Martin J, Andršová, Irena, Novotny, Tomas, Sabino, Ester Cerdeira, Giatti, Luana, Barreto, Sandhi Maria, Waks, Jonathan W, Kramer, Daniel B, Mandic, Danilo, Peters, Nicholas S, OʼRegan, Declan, Malik, Marek, Ware, James S, Ribeiro, Antonio, and Ng, Fu Siong
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- 2023
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76. Toward a Universal Definition of Etiologies in Heart Failure: Categorizing Causes and Advancing Registry Science
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Agarwal, Anubha, Tromp, Jasper, Almahmeed, Wael, Angermann, Christiane, Chandramouli, Chanchal, Cho, Hyunjai, Choi, Don-Ju, Damasceno, Albertino, Filippatos, Gerasimos, Fonarow, Gregg C., Harikrishnan, Sivadasanpillai, Lund, Lars, Masoudi, Fred, Mensah, George A., Pathan, Asad, Perel, Pablo, Pinto, Fausto, Ribeiro, Antonio Luiz, Rich, Stuart, Sakata, Yasuhiko, Sliwa, Karen, Sundstrom, Johan, Wong, Renee, Yancy, Clyde, Yiu, Kelvin, Zhang, Jian, Zhang, Yuhui, Lam, Carolyn S.P., and Roth, Gregory A.
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- 2024
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77. Percentiles of predicted 10-year cardiovascular disease risk by sex and age in Brazil and their association with estimated risk of long-term atherosclerotic events
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Cesena, Fernando Yue, Generoso, Giuliano, Santos, Itamar de S., Duncan, Bruce B., Ribeiro, Antonio Luiz P., Brant, Luisa Caldeira, Mill, Jose Geraldo, Pereira, Alexandre C., Bittencourt, Marcio Sommer, Santos, Raul D., Lotufo, Paulo A., and Benseñor, Isabela M.
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- 2023
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78. Influence of sustained deficit irrigation and foliar kaolin application on almond kernel composition
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Barreales, David, Pereira, José Alberto, Casal, Susana, and Ribeiro, António Castro
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- 2023
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79. ISE/ISHNE Expert Consensus Statement on ECG Diagnosis of Left Ventricular Hypertrophy: The Change of the Paradigm. The joint paper of the International Society of Electrocardiology and the International Society for Holter Monitoring and Noninvasive Electrocardiology
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Bacharova, Ljuba, Chevalier, Philippe, Gorenek, Bulent, Jons, Christian, Li, Yi-Gang, Locati, Emanuela T., Maanja, Maren, Pérez-Riera, Andrés Ricardo, Platonov, Pyotr G., Ribeiro, Antonio Luiz P., Schocken, Douglas, Soliman, Elsayed Z., Svehlikova, Jana, Tereshchenko, Larisa G., Ugander, Martin, Varma, Niraj, Zaklyazminskaya, Elena, and Ikeda, Takanori
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- 2023
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80. As deficiências e os investimentos na educação nas escolas públicas no Brasil no ano de 2015
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Ribeiro, Antonio de Sousa, primary
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- 2023
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81. Automatic Diagnosis of Short-Duration 12-Lead ECG using a Deep Convolutional Network
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Ribeiro, Antônio H., Ribeiro, Manoel Horta, Paixão, Gabriela, Oliveira, Derick, Gomes, Paulo R., Canazart, Jéssica A., Pifano, Milton, Meira Jr., Wagner, Schön, Thomas B., and Ribeiro, Antonio Luiz
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Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Human-Computer Interaction ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We present a model for predicting electrocardiogram (ECG) abnormalities in short-duration 12-lead ECG signals which outperformed medical doctors on the 4th year of their cardiology residency. Such exams can provide a full evaluation of heart activity and have not been studied in previous end-to-end machine learning papers. Using the database of a large telehealth network, we built a novel dataset with more than 2 million ECG tracings, orders of magnitude larger than those used in previous studies. Moreover, our dataset is more realistic, as it consist of 12-lead ECGs recorded during standard in-clinics exams. Using this data, we trained a residual neural network with 9 convolutional layers to map 7 to 10 second ECG signals to 6 classes of ECG abnormalities. Future work should extend these results to cover a large range of ECG abnormalities, which could improve the accessibility of this diagnostic tool and avoid wrong diagnosis from medical doctors., Comment: Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216
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- 2018
82. The 3D Modules of Enzyme Catalysis: Deconstructing Active Sites into Distinct Functional Entities
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Riziotis, Ioannis G., Ribeiro, António J.M., Borkakoti, Neera, and Thornton, Janet M.
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- 2023
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83. HBA1C point-of-care testing for diabetes control in a low-income population: A before and after study and cost-parity analysis HbA1c point-of-care testing for diabetes control
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Andrade, Mônica Viegas, de Souza Noronha, Kenya Valéria Micaela, Santos, André Soares, Maia, Junia Xavier, Nogueira, Lucas Tavares, Cimini, Christiane Correa Rodrigues, Furtado, Maria Eduarda, Coelho, Laryssa, Marcolino, Milena Soriano, and Ribeiro, Antônio Luiz Pinho
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- 2023
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84. Effect and usability of mobile health applications for medication adherence in patients with heart failure: A systematic review
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Alves Leite de Barros, Kátia Adriana, da Silva Praxedes, Marcus Fernando, Pinho Ribeiro, Antônio Luiz, and Parreiras Martins, Maria Auxiliadora
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- 2023
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85. Associations Between Coronary Artery Calcification and Left Ventricular Global Longitudinal Strain and Diastolic Parameters: the ELSA-Brasil Study
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Haas, Priscila, Santos, Angela B.S., Cañon-Montañez, Wilson, Bittencourt, Marcio S., Torres, Felipe S., Ribeiro, Antonio L.P., Duncan, Bruce B., and Foppa, Murilo
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- 2023
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86. Scale up of implementation of a multidimensional intervention to enhance hypertension and diabetes care at the primary care setting: A protocol for a cluster-randomized study in Brazil
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Fonseca, Sueli Ferreira, Ribeiro, Antonio Luiz Pinho, Cimini, Christiane Correa Rodrigues, Soares, Thiago Barbabela de Castro, Delfino-Pereira, Polianna, Nogueira, Lucas Tavares, Moura, Regina Marcia Faria, Motta-Santos, Daisy, Ribeiro, Leonardo Bonisson, Camargos, Márcia Cristiane Souza, Paixão, Maria Cristina, Pires, Magda Carvalho, Batchelor, James, and Marcolino, Milena Soriano
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- 2023
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87. Deep Convolutional Networks in System Identification
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Andersson, Carl, Ribeiro, Antônio H., Tiels, Koen, Wahlström, Niklas, and Schön, Thomas B.
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Machine Learning ,Computer Science - Neural and Evolutionary Computing ,Statistics - Machine Learning - Abstract
Recent developments within deep learning are relevant for nonlinear system identification problems. In this paper, we establish connections between the deep learning and the system identification communities. It has recently been shown that convolutional architectures are at least as capable as recurrent architectures when it comes to sequence modeling tasks. Inspired by these results we explore the explicit relationships between the recently proposed temporal convolutional network (TCN) and two classic system identification model structures; Volterra series and block-oriented models. We end the paper with an experimental study where we provide results on two real-world problems, the well-known Silverbox dataset and a newer dataset originating from ground vibration experiments on an F-16 fighter aircraft., Comment: Accepted to Conference on Decision and Control, The first two authors contributed equally
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- 2019
88. SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
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Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, CJ, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R, Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul, and Contributors, SciPy 1. 0
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Computer Science - Mathematical Software ,Computer Science - Data Structures and Algorithms ,Computer Science - Software Engineering ,Physics - Computational Physics - Abstract
SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release. SciPy has become a de facto standard for leveraging scientific algorithms in the Python programming language, with more than 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories, and millions of downloads per year. This includes usage of SciPy in almost half of all machine learning projects on GitHub, and usage by high profile projects including LIGO gravitational wave analysis and creation of the first-ever image of a black hole (M87). The library includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics. In this work, we provide an overview of the capabilities and development practices of the SciPy library and highlight some recent technical developments., Comment: Article source data is available here: https://github.com/scipy/scipy-articles
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- 2019
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89. Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
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Ribeiro, Antônio H., Tiels, Koen, Aguirre, Luis A., and Schön, Thomas B.
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Computer Science - Machine Learning ,Computer Science - Neural and Evolutionary Computing ,Mathematics - Dynamical Systems ,Statistics - Machine Learning - Abstract
The exploding and vanishing gradient problem has been the major conceptual principle behind most architecture and training improvements in recurrent neural networks (RNNs) during the last decade. In this paper, we argue that this principle, while powerful, might need some refinement to explain recent developments. We refine the concept of exploding gradients by reformulating the problem in terms of the cost function smoothness, which gives insight into higher-order derivatives and the existence of regions with many close local minima. We also clarify the distinction between vanishing gradients and the need for the RNN to learn attractors to fully use its expressive power. Through the lens of these refinements, we shed new light on recent developments in the RNN field, namely stable RNN and unitary (or orthogonal) RNNs., Comment: To appear in the Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020. PMLR: Volume 108. This paper was previously titled "The trade-off between long-term memory and smoothness for recurrent networks". The current version subsumes all previous versions
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- 2019
90. On the smoothness of nonlinear system identification
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Ribeiro, Antônio H., Tiels, Koen, Umenberger, Jack, Schön, Thomas B., and Aguirre, Luis A.
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Machine Learning ,Mathematics - Optimization and Control - Abstract
We shed new light on the \textit{smoothness} of optimization problems arising in prediction error parameter estimation of linear and nonlinear systems. We show that for regions of the parameter space where the model is not contractive, the Lipschitz constant and $\beta$-smoothness of the objective function might blow up exponentially with the simulation length, making it hard to numerically find minima within those regions or, even, to escape from them. In addition to providing theoretical understanding of this problem, this paper also proposes the use of multiple shooting as a viable solution. The proposed method minimizes the error between a prediction model and the observed values. Rather than running the prediction model over the entire dataset, multiple shooting splits the data into smaller subsets and runs the prediction model over each subset, making the simulation length a design parameter and making it possible to solve problems that would be infeasible using a standard approach. The equivalence to the original problem is obtained by including constraints in the optimization. The new method is illustrated by estimating the parameters of nonlinear systems with chaotic or unstable behavior, as well as neural networks. We also present a comparative analysis of the proposed method with multi-step-ahead prediction error minimization.
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- 2019
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91. Correction: Mortality among blood donors seropositive and seronegative for Chagas disease (1996-2000) in São Paulo, Brazil: A death certificate linkage study.
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Capuani, Ligia, Bierrenbach, Ana, Alencar, Airlane, Mendrone, Alfredo, Ferreira, João, Ribeiro, Antonio, Sabino, Ester, and Custer, Brian
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[This corrects the article DOI: 10.1371/journal.pntd.0005542.].
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- 2020
92. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.
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Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H, Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R, Choi, Seung Hoan, Chaffin, Mark D, Roselli, Carolina, Barnes, Michael R, Mifsud, Borbala, Warren, Helen R, Hayward, Caroline, Marten, Jonathan, Cranley, James J, Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M, Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P, Souza, Renan P, Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P, Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A, Cook, James P, Lind, Lars, Lindgren, Cecilia M, Sundström, Johan, Nelson, Christopher P, Riaz, Muhammad B, Samani, Nilesh J, Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P, Mononen, Nina, Nikus, Kjell, Caulfield, Mark J, Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E, O'Connell, Jeff R, Ryan, Kathleen, Shuldiner, Alan R, Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T, Barnes, Catriona LK, Campbell, Harry, Joshi, Peter K, Wilson, James F, Isaacs, Aaron, Kors, Jan A, van Duijn, Cornelia M, Huang, Paul L, Gudnason, Vilmundur, Harris, Tamara B, Launer, Lenore J, Smith, Albert V, Bottinger, Erwin P, Loos, Ruth JF, Nadkarni, Girish N, Preuss, Michael H, Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D, Rienstra, Michiel, van de Vegte, Yordi J, van der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F, Strauch, Konstantin, Cutler, Michael J, Fatkin, Diane, London, Barry, Olesen, Morten, and Roden, Dan M
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Humans ,Cardiovascular Diseases ,Genetic Predisposition to Disease ,Electrocardiography ,Gene Expression ,Multifactorial Inheritance ,Quantitative Trait Loci ,Female ,Male ,Arrhythmias ,Cardiac ,Genetic Variation ,Genome-Wide Association Study ,Genetic Loci ,Endophenotypes ,Arrhythmias ,Cardiac - Abstract
The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.
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- 2020
93. Deaths Related to Chagas Disease and COVID-19 Co-Infection, Brazil, March-December 2020
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Martins-Melo, Francisco R., Castro, Marcia C., Ribeiro, Antonio Luiz P., Heukelbach, Jorg, and Werneck, Guilherme L.
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Comorbidity -- Care and treatment -- Patient outcomes ,Chagas' disease -- Diagnosis -- Care and treatment ,Health - Abstract
Chagas disease, caused by the protozoan Trypanosoma cruzi, is a neglected public health problem in Latin America (1). It is the most common infectious cause of cardiomyopathy worldwide and for [...]
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- 2022
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94. Combined multi-channel intraluminal impedance measurement and pHmetry in the detection of gastroesophageal reflux disease in children with cystic fibrosis
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Gonçalves, Emília da Silva, Ribeiro, José Dirceu, Marson, Fernando Augusto Lima, Montes, Ciro Garcia, Ribeiro, Antônio Fernando, Mainz, Jochen Georg, Toro, Adyléia Aparecida Dalbo Contrera, Zamariola, Juliana Helena, Borgli, Daniela Souza Paiva, Lomazi, Elizete Aparecida, and Servidoni, Maria de Fátima Corrêa Pimenta
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- 2023
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95. Prevalence and factors associated with impaired left ventricular global longitudinal strain in patients with Chagas disease: SaMi-Trop cohort study
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Santos Junior, Omar Ribeiro, Sabino, Ester Cerdeira, Carvalho, Vinícius Tostes, Brito, Bruno Oliveira de Figueiredo, Oliveira, Lea Campos de, Ferreira, Ariela Mota, Maia, Marcelo Alves, Gomes, Nayana Flamini Arantes, Ribeiro, Antonio Luiz P., and Nunes, Maria Carmo P.
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- 2022
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96. Abstract 18801: Impact of COVID-19 Pandemic on Cardiovascular Diseases Hospitalisation, Management and Mortality in Brazil
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Fagundes, Antonio A, Passaglia, Luiz, Pinheiro, Pedro, Nascimento, Bruno R, Brant, Luisa C, and Ribeiro, Antonio L
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- 2023
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97. Abstract 14701: Agreement Between Handheld and Standard Echocardiography for Diagnosis of Latent Rheumatic Heart Disease in Brazilian Schoolchildren From High-Prevalence Settings
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Nascimento, Bruno R, Oliveira, Kaciane, Veloso, Jessica Elvira M, Silva, Cássia Aparecida, Nunes, Maria D, Abrams, Jessica, Diniz, Marina G, Diamante, Lucas, Amaral, Arthur M, Santos, Luiza P, Franco, Juliane, Galdino, Bruno F, Barbosa, Marcia M, TACURI CHAVEZ, LUZ MARINA, Fraga, Lucas, Meira, Zilda Maria A, Ribeiro, Antonio L, and Sable, Craig A
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- 2023
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98. Abstract 14693: Combined Tele-Cardiology Tools for Cardiovascular Risk Stratification in Primary Care: Data From the PROVAR+ Study
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Cardoso, Clareci S, Ribeiro, Isabely S, silva, gabriela, de Morais Bessa, Allan M, Vinhal, Wanessa C, da Mata Coimbra, Mariela M, Silva, Cássia Aparecida, Nunes, Maria D, Fraga, Lucas L, Diniz, Marina G, Ferreira, Alexandre M, Silva, Mauro Henrique A, Barbosa, Marcia, Costa, Beatriz, Fava, Henrique L, Diamante, Lucas C, Ribeiro, Antonio L, Sable, Craig A, and Nascimento, Bruno R
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- 2023
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99. Abstract 14328: Performance of Current Cardiovascular Risk Scores Among the Brazilian Population: Findings From the ELSA-Brasil Study
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Pedroso, Aline, Barreto, Sandhi Maria, Brant, Luisa C, Ribeiro, Antonio, Bittencourt, Marcio S, Figueiredo, Roberta, and Khera, Rohan
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- 2023
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100. Abstract 13191: Effectiveness of a Telemedicine Intervention in Reducing Heart Failure Hospitalizations in Brazil: A Randomized Clinical Trial
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RIBEIRO, EDMAR G, Brant, Luisa C, Bernal, Regina T, Rezende, Lilian C, Chequer, Graziela, Temponi, Barbara V, Vilela, Daniel B, Buback, Julia B, Franco, Tulio B, Ribeiro, Antonio L, and Malta, Deborah
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- 2023
- Full Text
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