8,196 results on '"Rabiee A"'
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202. Design and synthesis of cationic copolymer synergized with metal nanoparticles as polymeric hybrid nanocomposite for carbonate reservoir applications
- Author
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Pashapouryeganeh, Farzad, Zargar, Ghasem, Rabiee, Ahmad, kadkhodaie, Ali, and Takassi, Mohammad Ali
- Published
- 2023
- Full Text
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203. Comparison of conventional and severe shot peening effects on the microstructure, texture, roughness, hardness, and electrochemical behavior of austenitic stainless steel
- Author
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Yazdani, Fahimeh, Rabiee, Sayed Mahmood, and Jamaati, Roohollah
- Published
- 2024
- Full Text
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204. 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
- Author
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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 Sakilah, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afolabi, Rotimi Felix, Afshin, Ashkan, Afyouni, Shadi, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agbozo, Faith, Aghamiri, Shahin, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Noah, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmed, Ali, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Safoora, Ahmed, Syed Anees, Ajami, Marjan, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akbarialiabad, Hossein, Akhlaghi, Shiva, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akkala, Sreelatha, Akombi-Inyang, Blessing, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Alahdab, Fares, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Nazmul, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, AlBataineh, Mohammad T, Aldhaleei, Wafa A, Aldridge, Robert W, Alemayohu, Mulubirhan Assefa, Alemu, Yihun Mulugeta, Al-Fatly, Bassam, Al-Gheethi, Adel Ali Saeed, Al-Habbal, Khairat, Alhabib, Khalid F, Alhassan, Robert Kaba, Ali, Abid, Ali, Amjad, Ali, Beriwan Abdulqadir, Ali, Iman, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Waad, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Al-Marwani, Sabah, Al-Mekhlafi, Hesham M, Almustanyir, Sami, Alomari, Mahmoud A, Alonso, Jordi, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Raddadi, Rajaa M, Alrawashdeh, Ahmad, Al-Rifai, Rami Hani, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alshahrani, Najim Z, Altaany, Zaid, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Aly, Safwat, Alzoubi, Karem H, Al-Zyoud, Walid, Amaechi, Uchenna Anderson, Aman Mohammadi, Masous, Amani, Reza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Ammirati, Enrico, Amu, Hubert, Amugsi, Dickson A, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderlini, Deanna, Anderson, Jason A, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Anenberg, Susan C, Angappan, Dhanalakshmi, Angus, Colin, Anil, Abhishek, Anil, Sneha, Anjum, Afifa, Anoushiravani, Amir, Antonazzo, Ippazio Cosimo, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Davood, Anvari, Saeid, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyabolo, Ekenedilichukwu Emmanuel, Anyasodor, Anayochukwu Edward, Apostol, Geminn Louis Carace, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arafat, Mosab, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Armocida, Benedetta, Arndt, Michael Benjamin, Ärnlöv, Johan, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Aruleba, Idowu Thomas, Arumugam, Ashokan, Asbeutah, Akram M, Asgary, Saeed, Asgedom, Akeza Awealom, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Tahira, Askarinejad, Amir, Assmus, Michael, Astell-Burt, Thomas, Athar, Mohammad, Athari, Seyyed Shamsadin, Atorkey, Prince, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awoke, Andargie Abate, Ayala Quintanilla, Beatriz Paulina, Ayatollahi, Haleh, Ayestas Portugal, Carlos, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Azhar, Gulrez Shah, Azizi, Hosein, Azzam, Ahmed Y, Backhaus, Insa Linnea, Badar, Muhammad, Badiye, Ashish D, Bagga, Arvind, Baghdadi, Soroush, Bagheri, Nasser, Bagherieh, Sara, Bahrami Taghanaki, Pegah, Bai, Ruhai, Baig, Atif Amin, Baker, Jennifer L, Bakkannavar, Shankar M, Balasubramanian, Madhan, Baltatu, Ovidiu Constantin, Bam, Kiran, Bandyopadhyay, Soham, Banik, Biswajit, Banik, Palash Chandra, Banke-Thomas, Aduragbemi, Bansal, Hansi, 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, Basharat, Zarrin, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Batchu, Sai, Batra, Kavita, Batra, Ravi, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Beaney, Thomas, Behnoush, Amir Hossein, Beiranvand, Maryam, Béjot, Yannick, Bekele, Alehegn, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Bell, Michelle L, Bello, Muhammad Bashir, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bendak, Salaheddine, Bennett, Derrick A, Bennitt, Fiona B, Bensenor, Isabela M, Benzian, Habib, Beran, Azizullah, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhat, Ajay Nagesh, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhuiyan, Mohiuddin Ahmed, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Biswas, Atanu, Biswas, Bijit, Biswas, Raaj Kishore, Bjørge, Tone, Boachie, Micheal Kofi, Boakye, Hosea, Bockarie, Moses John, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bolla, Srinivasa Rao, Boloor, Archith, Bonakdar Hashemi, Milad, Boppana, Sri Harsha, Bora Basara, Berrak, Borhany, Hamed, Botero Carvajal, Alejandro, Bouaoud, Souad, Boufous, Soufiane, Bourne, Rupert, Boxe, Christopher, Braithwaite, Dejana, Brant, Luisa C, Brar, Amanpreet, Breitborde, Nicholas J K, Breitner, Susanne, Brenner, Hermann, Briko, Andrey Nikolaevich, Britton, Gabrielle, Brown, Colin Stewart, Browne, Annie J, Brunoni, Andre R, Bryazka, Dana, Bulamu, Norma B, Bulto, Lemma N, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cagney, Jack, Cahuana-Hurtado, Lucero, Calina, Daniela, Cámera, Luis Alberto, Campos, Luciana Aparecida, Campos-Nonato, 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 Fernanda, Gilbertson, Nora M, Gill, Paramjit Singh, Gill, Tiffany K, Gindaba, Ebisa Zerihun, Girmay, Alem, Glasbey, James C, Gnedovskaya, Elena V, Göbölös, Laszlo, Godinho, Myron Anthony, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gomes, Nelson G M, Gopalani, Sameer Vali, Gorini, Giuseppe, Goudarzi, Houman, Goulart, Alessandra C, Gouravani, Mahdi, Goyal, Anmol, Graham, Simon Matthew, Grivna, Michal, Grosso, Giuseppe, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Mohak, Gupta, Rahul, Gupta, Rajat Das, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Habibzadeh, Farrokh, Habibzadeh, Parham, Hadaro, Tesfahun Simon, Hadian, Zahra, Haep, Nils, Haghi-Aminjan, Hamed, Haghmorad, Dariush, Hagins, Hailey, Haile, Demewoz, Hailu, Alemayehu, Hajj Ali, Adel, 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, Shaun Wen Huey, Lee, Yo Han, LeGrand, Kate E, Leigh, James, Leong, Elvynna, Lerango, Temesgen L, Lescinsky, Haley, Leung, Janni, Li, Ming-Chieh, Li, Wang-Zhong, Li, Wei, Li, Yichong, Li, Zhihui, Ligade, Virendra S, Lim, Lee-Ling, Lim, Stephen S, Lin, Ro-Ting, Lin, Shuzhi, Liu, Chaojie, Liu, Gang, Liu, Jinli, Liu, Jue, Liu, Richard T, Liu, Shiwei, Liu, Wei, Liu, Xiaofeng, Liu, Xuefeng, Livingstone, Katherine M, Llanaj, Erand, Lohiya, Ayush, López-Bueno, Rubén, Lopukhov, Platon D, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lubinda, Jailos, Lucchetti, Giancarlo, Luo, Lisha, lv, Hengliang, M Amin, Hawraz Ibrahim, Ma, Zheng Feei, Maass, Kelsey Lynn, Mabrok, Mahmoud, Machairas, Nikolaos, Machoy, Monika, Mafhoumi, Asma, Magdy Abd El Razek, Mohammed, Maghazachi, Azzam A, Mahadeshwara Prasad, D R, Maharaj, Sandeep B, Mahmoud, Mansour Adam, Mahmoudi, Elham, Majeed, Azeem, Makram, Omar Mohamed, Makris, Konstantinos Christos, Malasala, Satyaveni, Maled, Venkatesh, Malhotra, Kashish, 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205. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
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Vollset, Stein Emil, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abd Al Magied, Abdallah H A, Abd ElHafeez, Samar, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Absalan, Abdorrahim, Abualruz, Hasan, Abubakar, Bilyaminu, Abukhadijah, Hana Jihad Jihad, Addolorato, Giovanni, Adekanmbi, Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adhikary, Ripon Kumar, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Agbozo, Faith, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahlstrom, Austin J, Ahmad, Aqeel, Ahmad, 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206. Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
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207. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries 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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Ferrari, Alize J, Santomauro, Damian Francesco, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdollahi, Arash, Abdullahi, Auwal, Abegaz, Kedir Hussein, Abeldaño Zuñiga, Roberto Ariel, Aboagye, Richard Gyan, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abualruz, Hasan, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Ackerman, Ilana N, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adepoju, Abiola Victor, Adewuyi, Habeeb Omoponle, Afyouni, Shadi, Afzal, Saira, Afzal, Sina, Agodi, Antonella, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Shahzaib, Ahmed, Ali, Ahmed, Luai A, Ahmed, Muktar Beshir, Ajami, Marjan, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Al Hasan, Syed Mahfuz, Alalalmeh, Samer O, Al-Aly, Ziyad, Albashtawy, Mohammed, Aldridge, Robert W, Alemu, Meseret Desalegn, Alemu, Yihun Mulugeta, Alene, Kefyalew Addis, Al-Gheethi, Adel Ali Saeed, 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Theo, and Murray, Christopher J L
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208. 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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Kamran, Mehrabi Nasab, Entezar, Mekene Meto, Tesfahun, Meles, Gebrekiros Gebremichael, Mendez-Lopez, Max Alberto Mendez, Mendoza, Walter, Menezes, Ritesh G, Mengist, Belayneh, Mentis, Alexios-Fotios A, Meo, Sultan Ayoub, Meresa, Haftu Asmerom, Meretoja, Atte, Meretoja, Tuomo J, Mersha, Abera M, Mesfin, Bezawit Afework, Mestrovic, Tomislav, Mettananda, Kukulege Chamila Dinushi, Mettananda, Sachith, Meylakhs, Peter, Mhlanga, Adquate, Mhlanga, Laurette, Mi, Tianyue, Miazgowski, Tomasz, Micha, Georgia, Michalek, Irmina Maria, Miller, Ted R, Mills, Edward J, Minh, Le Huu Nhat, Mini, GK, Mir Mohammad Sadeghi, Pouya, Mirica, Andreea, Mirijello, Antonio, Mirrakhimov, Erkin M, Mirutse, Mizan Kiros, Mirzaei, Maryam, Misganaw, Awoke, Mishra, Ashim, Misra, Sanjeev, Mitchell, Philip B, Mithra, Prasanna, Mittal, Chaitanya, Mobayen, Mohammadreza, Moberg, Madeline E, Mohamadkhani, Ashraf, Mohamed, Jama, Mohamed, Mouhand F H, Mohamed, Nouh Saad, Mohammad-Alizadeh-Charandabi, Sakineh, Mohammadi, Soheil, Mohammadian-Hafshejani, Abdollah, Mohammadifard, Noushin, Mohammed, Hassen, Mohammed, Hussen, Mohammed, Mustapha, Mohammed, Salahuddin, Mohammed, Shafiu, Mohan, Viswanathan, Mojiri-Forushani, Hoda, Mokari, Amin, Mokdad, Ali H, Molinaro, Sabrina, Molokhia, Mariam, Momtazmanesh, Sara, Monasta, Lorenzo, Mondello, Stefania, Moni, Mohammad Ali, Moodi Ghalibaf, AmirAli, Moradi, Maryam, Moradi, Yousef, Moradi-Lakeh, Maziar, Moradzadeh, Maliheh, Moraga, Paula, Morawska, Lidia, Moreira, Rafael Silveira, Morovatdar, Negar, Morrison, Shane Douglas, Morze, Jakub, Mosser, Jonathan F, Motappa, Rohith, Mougin, Vincent, Mouodi, Simin, Mousavi, Parsa, Mousavi, Seyed Ehsan, Mousavi Khaneghah, Amin, Mpolya, Emmanuel A, Mrejen, Matías, Mubarik, Sumaira, Muccioli, Lorenzo, Mueller, Ulrich Otto, Mughal, Faraz, Mukherjee, Sumoni, Mulita, Francesk, Munjal, Kavita, Murillo-Zamora, Efrén, Musaigwa, Fungai, Musallam, Khaled M, Mustafa, Ahmad, Mustafa, Ghulam, Muthupandian, Saravanan, Muthusamy, Raman, Muzaffar, Muhammad, Myung, Woojae, Nagarajan, Ahamarshan Jayaraman, Nagel, Gabriele, Naghavi, Pirouz, Naheed, Aliya, Naik, Ganesh R, Naik, Gurudatta, Nainu, Firzan, Nair, Sanjeev, Najmuldeen, Hastyar Hama Rashid, Nakhostin Ansari, Noureddin, Nangia, Vinay, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Narayana, Aparna Ichalangod, Nargus, Shumaila, Nascimento, Bruno Ramos, Nascimento, Gustavo G, Nasehi, Samar, Nashwan, Abdulqadir J, Natto, Zuhair S, Nauman, Javaid, Naveed, Muhammad, Nayak, Biswa Prakash, Nayak, Vinod C, Nazri-Panjaki, Athare, Ndejjo, Rawlance, Nduaguba, Sabina Onyinye, Negash, Hadush, Negoi, Ionut, Negoi, Ruxandra Irina, Negru, Serban Mircea, Nejadghaderi, Seyed Aria, Nejjari, Chakib, Nena, Evangelia, Nepal, Samata, Ng, Marie, Nggada, Haruna Asura, Nguefack-Tsague, Georges, Ngunjiri, Josephine W, Nguyen, Anh Hoang, Nguyen, Dang H, Nguyen, Hau Thi Hien, Nguyen, Phat Tuan, Nguyen, Van Thanh, Niazi, Robina Khan, Nielsen, Katie R, Nigatu, Yeshambel T, Nikolouzakis, Taxiarchis Konstantinos, Nikoobar, Ali, Nikoomanesh, Fatemeh, Nikpoor, Amin Reza, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nnyanzi, Lawrence Achilles, Noman, Efaq Ali, Nomura, Shuhei, Noreen, Mamoona, Noroozi, Nafise, Norrving, Bo, Noubiap, Jean Jacques, Novotney, Amanda, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Ntsekhe, Mpiko, Nuñez-Samudio, Virginia, Nurrika, Dieta, Nutor, Jerry John, Oancea, Bogdan, Obamiro, Kehinde O, Oboh, Mary Aigbiremo, Odetokun, Ismail A, Odogwu, Nkechi Martina, O'Donnell, Martin James, Oduro, Michael Safo, Ofakunrin, Akinyemi O D, Ogunkoya, Abiola, Oguntade, Ayodipupo Sikiru, Oh, In-Hwan, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olaiya, Muideen Tunbosun, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oluwafemi, Yinka Doris, Omar, Hany A, Omar Bali, Ahmed, Omer, Goran Latif, Ondayo, Maureene Auma, Ong, Sokking, Onwujekwe, Obinna E, Onyedibe, Kenneth Ikenna, Ordak, Michal, Orisakwe, Orish Ebere, Orish, Verner N, Ortega-Altamirano, Doris V, Ortiz, Alberto, Osman, Wael M S, Ostroff, Samuel M, Osuagwu, Uchechukwu Levi, Otoiu, Adrian, Otstavnov, Nikita, Otstavnov, Stanislav S, Ouyahia, Amel, Ouyang, Guoqing, Owolabi, Mayowa O, Ozten, Yaz, P A, Mahesh Padukudru, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pal, Pramod Kumar, Palicz, Tamás, Palladino, Claudia, Palladino, Raffaele, Palma-Alvarez, Raul Felipe, Pan, Feng, Pan, Hai-Feng, Pana, Adrian, Panda, Paramjot, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R, Pangaribuan, Helena Ullyartha, Panos, Georgios D, Panos, Leonidas D, Pantazopoulos, Ioannis, Pantea Stoian, Anca Mihaela, Papadopoulou, Paraskevi, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pashaei, Ava, Pasovic, Maja, Passera, Roberto, Pasupula, Deepak Kumar, Patel, Hemal M, Patel, Jay, Patel, Sangram Kishor, Patil, Shankargouda, Patoulias, Dimitrios, Patthipati, Venkata Suresh, Paudel, Uttam, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pedersini, Paolo, Pensato, Umberto, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Peprah, Prince, Perdigão, João, Pereira, Marcos, Peres, Mario F P, Perianayagam, Arokiasamy, Perico, Norberto, Pestell, Richard G, Pesudovs, Konrad, Petermann-Rocha, Fanny Emily, Petri, William A, Pham, Hoang Tran, Philip, Anil K, Phillips, Michael R, Pierannunzio, Daniela, Pigeolet, Manon, Pigott, David M, Pilgrim, Thomas, Piracha, Zahra Zahid, Piradov, Michael A, Pirouzpanah, Saeed, Plakkal, Nishad, Plotnikov, Evgenii, Podder, Vivek, Poddighe, Dimitri, Polinder, Suzanne, Polkinghorne, Kevan R, Poluru, Ramesh, Ponkilainen, Ville T, Porru, Fabio, Postma, Maarten J, Poudel, Govinda Raj, Pourshams, Akram, Pourtaheri, Naeimeh, Prada, Sergio I, Pradhan, Pranil Man Singh, Prakasham, Thejeswar N, Prasad, Manya, Prashant, Akila, Prates, Elton Junio Sady, Prieto Alhambra, Daniel, PRISCILLA, TINA, Pritchett, Natalie, Purohit, Bharathi M, Puvvula, Jagadeesh, Qasim, Nameer Hashim, Qattea, Ibrahim, Qazi, Asma Saleem, Qian, Gangzhen, Qiu, Suli, Qureshi, Maryam Faiz, Rabiee Rad, Mehrdad, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi Shahraki, Hadi, Rafferty, Quinn, Raggi, Alberto, Raghav, Pankaja Raghav, Raheem, Nasiru, Rahim, Fakher, Rahim, Md Jillur, Rahimi-Movaghar, Vafa, Rahman, Md Mosfequr, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajaa, Sathish, Rajput, Prashant, Rakovac, Ivo, Ramasamy, Shakthi Kumaran, Ramazanu, Sheena, Rana, Kritika, Ranabhat, Chhabi Lal, Rancic, Nemanja, Rane, Amey, Rao, Chythra R, Rao, Indu Ramachandra, Rao, Mithun, Rao, Sowmya J, Rasali, Drona Prakash, Rasella, Davide, Rashedi, Sina, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Rasouli-Saravani, Ashkan, Rasul, Azad, Rathnaiah Babu, Giridhara, Rauniyar, Santosh Kumar, Ravangard, Ramin, Ravikumar, Nakul, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Rawlley, Bharat, Raza, Rabail Zehra, Razo, Christian, Redwan, Elrashdy Moustafa Mohamed, Rehman, Faizan Ur, Reifels, Lennart, Reiner Jr, Robert C, Remuzzi, Giuseppe, Reyes, Luis Felipe, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Rezaeian, Mohsen, Rhee, Taeho Gregory, Riaz, Mavra A, Ribeiro, Antonio Luiz P, Rickard, Jennifer, Riva, Hannah R, Robinson-Oden, Hannah Elizabeth, Rodrigues, Célia Fortuna, Rodrigues, Mónica, Roever, Leonardo, Rogowski, Emma Lynn Best, Rohloff, Peter, Romadlon, Debby Syahru, Romero-Rodríguez, Esperanza, Romoli, Michele, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rout, Himanshu Sekhar, Roy, Nitai, Roy, Priyanka, Rubagotti, Enrico, Ruela, Guilherme de Andrade, Rumisha, Susan Fred, Runghien, Tilleye, Rwegerera, Godfrey M, Rynkiewicz, Andrzej, S N, Chandan, Saad, Aly M A, Saadatian, Zahra, Saber, Korosh, Saber-Ayad, Maha Mohamed, SaberiKamarposhti, Morteza, Sabour, Siamak, Sacco, Simona, Sachdev, Perminder S, Sachdeva, Rajesh, Saddik, Basema, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Ehsan, Sadeghi, Erfan, Sadeghian, Farideh, Saeb, Mohammad Reza, Saeed, Umar, Safaeinejad, Fahimeh, Safi, Sher Zaman, Sagar, Rajesh, Saghazadeh, Amene, Sagoe, Dominic, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahoo, Umakanta, Sahu, Monalisha, Saif, Zahra, Sajid, Mirza Rizwan, Sakshaug, Joseph W, Salam, Nasir, Salamati, Payman, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Saleh, Mohamed A, Salehi, Sana, Salem, Marwa Rashad, Salem, Mohammed Z Y, Salimi, Sohrab, Samadi Kafil, Hossein, Samadzadeh, Sara, Samargandy, Saad, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sanna, Francesca, Santomauro, Damian Francesco, Santos, Itamar S, Santric-Milicevic, Milena M, Sao Jose, Bruno Piassi, Sarasmita, Made Ary, Saraswathy, Sivan Yegnanarayana Iyer, Saravanan, Aswini, Saravi, Babak, Sarikhani, Yaser, Sarkar, Tanmay, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Satpathy, Maheswar, Sayeed, Abu, Sayeed, Md Abu, Saylan, Mete, Sayyah, Mehdi, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schlaich, Markus P, Schlee, Winfried, Schmidt, Maria Inês, Schneider, Ione Jayce Ceola, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Schwendicke, Falk, Šekerija, Mario, Selvaraj, Siddharthan, Senapati, Sabyasachi, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serban, Dragos, Sethi, Yashendra, Sha, Feng, Shabany, Maryam, Shafaat, Amir, Shafie, Mahan, Shah, Nilay S, Shah, Pritik A, Shah, Syed Mahboob, Shahabi, Saeed, Shahbandi, Ataollah, Shahid, Izza, Shahid, Samiah, Shahid, Wajeehah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Ahmed, Shaikh, Masood Ali, Shakeri, Alireza, Shalash, Ali S, Sham, Sunder, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamshad, Hina, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Rajesh, Sharma, Saurab, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shayan, Maryam, Shehabeldine, Amr Mohamed Elsayed, Sheikh, Aziz, Sheikhi, Rahim Ali, Shen, Jiabin, Shetty, Adithi, Shetty, B Suresh Kumar, Shetty, Pavanchand H, Shi, Peilin, Shibuya, Kenji, Shiferaw, Desalegn, Shigematsu, Mika, Shin, Min-Jeong, Shin, Youn Ho, Shiri, Rahman, Shirkoohi, Reza, Shitaye, Nebiyu Aniley, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shivarov, Velizar, Shokraneh, Farhad, Shokri, Azad, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Sunil, Shuval, Kerem, Siddig, Emmanuel Edwar, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simpson, Colin R, Singal, Anjali, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Garima, Singh, Jasbir, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Sinha, Dhirendra Narain, Sinto, Robert, Siraj, Md Shahjahan, Sirota, Sarah Brooke, Sitas, Freddy, Sivakumar, Shravan, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Socea, Bogdan, Sokhan, Anton, Solanki, Ranjan, Solanki, Shipra, Soleimani, Hamidreza, Soliman, Sameh S M, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Spearman, Sandra, Sreeramareddy, Chandrashekhar T, Srivastava, Vijay Kumar, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Stark, Benjamin A, Starnes, Joseph R, Starodubova, Antonina V, Stein, Caroline, Stein, Dan J, Steinbeis, Fridolin, Steiner, Caitlyn, Steinmetz, Jaimie D, Steiropoulos, Paschalis, Stevanović, Aleksandar, Stockfelt, Leo, Stokes, Mark A, Stortecky, Stefan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Haitong Zhe, Sun, Jing, Sundström, Johan, Sunkersing, David, Sunnerhagen, Katharina S, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, 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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209. Catalytic and biomedical applications of nanocelluloses: A review of recent developments
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Khorsandi, Danial, Jenson, Serena, Zarepour, Atefeh, Khosravi, Arezoo, Rabiee, Navid, Iravani, Siavash, and Zarrabi, Ali
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- 2024
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210. Synthesis and characterization of mupirocin-LDH/PVA nanofibrous composite as a dual-carrier drug release system
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Qadikolaei, Zahra Majidi, Rabiee, Sayed Mahmood, and Gholipour-Kanani, Adeleh
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- 2024
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211. Sol-gel derived bioactive glasses containing boron and strontium: Bioactivity, biocompatibility, and antibacterial properties
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Niazvand, Firoozeh, Sharifianjazi, Fariborz, Esmaeilkhanian, AmirHossein, Ahmadi, Elahe, Moradigharibvand, Nahid, Rabiee, Navid, Seifalian, Alexander, Ghiasvand, Alireza, and Hojjati, Mahsa
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- 2024
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212. DYSN: Dynamics simulator for the NuScale SMR - A mathematical framework for transient analysis
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Fakhraei, A., Faghihi, F., Mohammadi, M., and Rabiee, A.
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- 2024
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213. Theoretical studies and evaluation of anticancer properties of two cobalt(III) Schiff base complexes derived from 3,5-dichloro-2-hydroxybenzaldehyde and 1,2-phenylene diamine
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Rabiee, Melika, Salehi, Mehdi, Kubicki, Maciej, Khaleghian, Ali, and Iraji, Mahsa
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- 2024
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214. Enhanced carbohydrate-based plastic performance by incorporating cerium-based metal-organic framework for food packaging application
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Jafarzadeh, Shima, Golgoli, Mitra, Azizi-Lalabadi, Maryam, Farahbakhsh, Javad, Forough, Mehrdad, Rabiee, Navid, and Zargar, Masoumeh
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- 2024
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215. Impact of varied zeolite materials on nickel catalysts in CO2 methanation
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Yan, Penghui, Peng, Hong, Wu, Xuankun, Rabiee, Hesamoddin, Weng, Yilun, Konarova, Muxina, Vogrin, John, Rozhkovskaya, Alexandra, and Zhu, Zhonghua
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- 2024
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216. Comparative study of synthesis methods and pH-dependent adsorption of methylene blue dye on UiO-66 and NH2-UiO-66
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Daneshgar, Hossein, Sojdeh, Soheil, Salehi, Ghazal, Edrisi, Mohammad, Bagherzadeh, Mojtaba, and Rabiee, Navid
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- 2024
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217. Exploring the synergistic potential of MXene-MOF hybrid composites: A perspective on synthesis, properties, and applications
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Aldhaher, Abdullah, Rabiee, Navid, and Iravani, Siavash
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- 2024
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218. Anodic biodegradation of phenol in a microbial desalination cell through microbial composition shift for energy recovery and water desalination
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Rabiee, Raoof, Zamir, Seyed Morteza, and Sedighi, Mahsa
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- 2024
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219. Serum zonulin level as a novel approach in diagnosis and follow-up of patients with celiac disease. A systematic review and meta-analysis
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Rabiee, Reyhaneh, Mahdavi, Reza, and Nikniaz, Zeinab
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- 2024
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220. Navigating the new normal: Redefining N95 respirator design with an integrated text mining and quality function deployment-based optimization model
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Kumar Gangadhari, Rajan, Kumar Tarei, Pradeep, Chand, Pushpendu, Rabiee, Meysam, and Delen, Dursun
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- 2024
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221. Removal of methylparaben from aqueous effluents using biobased carbon material. Experimental and DFT calculations
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Lima, Eder C., Ponce-Vargas, Miguel, Naushad, Mu., Thue, Pascal S., dos Reis, Glaydson S, Mello, Beatris L., Rabiee, Navid, Abatal, Mohamed, Korany Seliem, Moaaz, and Badawi, Michael
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- 2024
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222. Enhancing electrostatic charge stability of corona charged Teflon electret films for radiation dosimetry by optimizing metal electrode backing material
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Rabiee, Sahel, Sohrabi, Mehdi, and Afarideh, Hossein
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- 2024
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223. Analysis of Contractions in System Graphs: Application to State Estimation
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Doostmohammadian, Mohammadreza, Charalambous, Themistoklis, Shafie-khah, Miadreza, Rabiee, Hamid R., and Khan, Usman A.
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Social and Information Networks ,Mathematics - Dynamical Systems - Abstract
Observability and estimation are closely tied to the system structure, which can be visualized as a system graph--a graph that captures the inter-dependencies within the state variables. For example, in social system graphs such inter-dependencies represent the social interactions of different individuals. It was recently shown that contractions, a key concept from graph theory, in the system graph are critical to system observability, as (at least) one state measurement in every contraction is necessary for observability. Thus, the size and number of contractions are critical in recovering for loss of observability. In this paper, the correlation between the average-size/number of contractions and the global clustering coefficient (GCC) of the system graph is studied. Our empirical results show that estimating systems with high GCC requires fewer measurements, and in case of measurement failure, there are fewer possible options to find substitute measurement that recovers the system's observability. This is significant as by tuning the GCC, we can improve the observability properties of large-scale engineered networks, such as social networks and smart grid.
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- 2021
224. SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian
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Taghizadeh, Nasrin, Doostmohammadi, Ehsan, Seifossadat, Elham, Rabiee, Hamid R., and Tahaei, Maedeh S.
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Computer Science - Computation and Language - Abstract
We have released Sina-BERT, a language model pre-trained on BERT (Devlin et al., 2018) to address the lack of a high-quality Persian language model in the medical domain. SINA-BERT utilizes pre-training on a large-scale corpus of medical contents including formal and informal texts collected from a variety of online resources in order to improve the performance on health-care related tasks. We employ SINA-BERT to complete following representative tasks: categorization of medical questions, medical sentiment analysis, and medical question retrieval. For each task, we have developed Persian annotated data sets for training and evaluation and learnt a representation for the data of each task especially complex and long medical questions. With the same architecture being used across tasks, SINA-BERT outperforms BERT-based models that were previously made available in the Persian language.
- Published
- 2021
225. GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
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Ghorbani, Mahsa, Bahrami, Mojtaba, Kazi, Anees, SoleymaniBaghshah, Mahdieh, Rabiee, Hamid R., and Navab, Nassir
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Computer Science - Machine Learning ,Computer Science - Social and Information Networks - Abstract
The increased amount of multi-modal medical data has opened the opportunities to simultaneously process various modalities such as imaging and non-imaging data to gain a comprehensive insight into the disease prediction domain. Recent studies using Graph Convolutional Networks (GCNs) provide novel semi-supervised approaches for integrating heterogeneous modalities while investigating the patients' associations for disease prediction. However, when the meta-data used for graph construction is not available at inference time (e.g., coming from a distinct population), the conventional methods exhibit poor performance. To address this issue, we propose a novel semi-supervised approach named GKD based on knowledge distillation. We train a teacher component that employs the label-propagation algorithm besides a deep neural network to benefit from the graph and non-graph modalities only in the training phase. The teacher component embeds all the available information into the soft pseudo-labels. The soft pseudo-labels are then used to train a deep student network for disease prediction of unseen test data for which the graph modality is unavailable. We perform our experiments on two public datasets for diagnosing Autism spectrum disorder, and Alzheimer's disease, along with a thorough analysis on synthetic multi-modal datasets. According to these experiments, GKD outperforms the previous graph-based deep learning methods in terms of accuracy, AUC, and Macro F1.
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- 2021
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226. Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI
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Shirkavand, Reza, Ayromlou, Sana, Farghadani, Soroush, Tahaei, Maedeh-sadat, Pourakpour, Fattane, Siahlou, Bahareh, Khodakarami, Zeynab, Rohban, Mohammad H., Fatehi, Mansoor, and Rabiee, Hamid R.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Early detection of dementia through specific biomarkers in MR images plays a critical role in developing support strategies proactively. Fazekas scale facilitates an accurate quantitative assessment of the severity of white matter lesions and hence the disease. Imaging Biomarkers of dementia are multiple and comprehensive documentation of them is time-consuming. Therefore, any effort to automatically extract these biomarkers will be of clinical value while reducing inter-rater discrepancies. To tackle this problem, we propose to classify the disease severity based on the Fazekas scale through the visual biomarkers, namely the Periventricular White Matter (PVWM) and the Deep White Matter (DWM) changes, in the real-world setting of thick-slice MRI. Small training sample size and weak supervision in form of assigning severity labels to the whole MRI stack are among the main challenges. To combat the mentioned issues, we have developed a deep learning pipeline that employs self-supervised representation learning, multiple instance learning, and appropriate pre-processing steps. We use pretext tasks such as non-linear transformation, local shuffling, in- and out-painting for self-supervised learning of useful features in this domain. Furthermore, an attention model is used to determine the relevance of each MRI slice for predicting the Fazekas scale in an unsupervised manner. We show the significant superiority of our method in distinguishing different classes of dementia compared to state-of-the-art methods in our mentioned setting, which improves the macro averaged F1-score of state-of-the-art from 61% to 76% in PVWM, and from 58% to 69.2% in DWM., Comment: 12 pages, 5 figues
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- 2021
227. Robofleet: Open Source Communication and Management for Fleets of Autonomous Robots
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Sikand, Kavan Singh, Zartman, Logan, Rabiee, Sadegh, and Biswas, Joydeep
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Computer Science - Robotics - Abstract
Long-term deployment of a fleet of mobile robots requires reliable and secure two-way communication channels between individual robots and remote human operators for supervision and tasking. Existing open-source solutions to this problem degrade in performance in challenging real-world situations such as intermittent and low-bandwidth connectivity, do not provide security control options, and can be computationally expensive on hardware-constrained mobile robot platforms. In this paper, we present Robofleet, a lightweight open-source system which provides inter-robot communication, remote monitoring, and remote tasking for a fleet of ROS-enabled service-mobile robots that is designed with the practical goals of resilience to network variance and security control in mind. Robofleet supports multi-user, multi-robot communication via a central server. This architecture deduplicates network traffic between robots, significantly reducing overall network load when compared with native ROS communication. This server also functions as a single entrypoint into the system, enabling security control and user authentication. Individual robots run the lightweight Robofleet client, which is responsible for exchanging messages with the Robofleet server. It automatically adapts to adverse network conditions through backpressure monitoring as well as topic-level priority control, ensuring that safety-critical messages are successfully transmitted. Finally, the system includes a web-based visualization tool that can be run on any internet-connected, browser-enabled device to monitor and control the fleet. We compare Robofleet to existing methods of robotic communication, and demonstrate that it provides superior resilience to network variance while maintaining performance that exceeds that of widely-used systems., Comment: 7 pages, 7 figures. Accepted paper at IROS 2021
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- 2021
228. The occurrence of riddled basins and blowout bifurcations in a parametric nonlinear system
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Rabiee, M., Ghane, F. H., Zaj, M., and Karimi, S.
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Nonlinear Sciences - Chaotic Dynamics ,Mathematics - Dynamical Systems ,37C05, 37C40, 37C70, 37H15, 37E05, 37D35 - Abstract
In this paper, a two parameters family $F_{\beta_1,\beta_2}$ of maps of the plane living two different subspaces invariant is studied. We observe that, our model exhibits two chaotic attractors $A_i$, $i=0,1$, lying in these invariant subspaces and identify the parameters at which $A_i$ has a locally riddled basin of attraction or becomes a chaotic saddle. Then, the occurrence of riddled basin in the global sense is investigated in an open region of $\beta_1\beta_2$-plane. We semi-conjugate our system to a random walk model and define a fractal boundary which separates the basins of attraction of the two chaotic attractors, then we describe riddled basin in detail. We show that the model undergos a sequence of bifurcations: "a blowout bifurcation", "a bifurcation to normal repulsion" and "a bifurcation by creating a new chaotic attractor with an intermingled basin". Numerical simulations are presented graphically to confirm the validity of our results., Comment: 26 pages, 15 figures
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- 2021
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229. Impact of exposure to patients with COVID-19 on residents and fellows: an international survey of 1420 trainees
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Cravero, Anne L, Kim, Nicole J, Feld, Lauren D, Berry, Kristin, Rabiee, Atoosa, Bazarbashi, Najdat, Bassin, Sandhya, Lee, Tzu-Hao, Moon, Andrew M, Qi, Xiaolong, Liang, Peter S, Aby, Elizabeth S, Khan, Mohammad Qasim, Young, Kristen J, Patel, Arpan, Wijarnpreecha, Karn, Kobeissy, Abdallah, Hashim, Almoutaz, Houser, Allysia, and Ioannou, George N
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Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Clinical Research ,Good Health and Well Being ,Adult ,Attitude of Health Personnel ,COVID-19 ,Female ,Humans ,Infection Control ,Infectious Disease Transmission ,Patient-to-Professional ,Internship and Residency ,Male ,Personal Protective Equipment ,Personnel Staffing and Scheduling ,Safety ,Self Report ,Surveys and Questionnaires ,Telemedicine ,Young Adult ,Medical education & training ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences - Abstract
ObjectivesTo determine how self-reported level of exposure to patients with novel coronavirus 2019 (COVID-19) affected the perceived safety, training and well-being of residents and fellows.MethodsWe administered an anonymous, voluntary, web-based survey to a convenience sample of trainees worldwide. The survey was distributed by email and social media posts from April 20th to May 11th, 2020. Respondents were asked to estimate the number of patients with COVID-19 they cared for in March and April 2020 (0, 1-30, 31-60, >60). Survey questions addressed (1) safety and access to personal protective equipment (PPE), (2) training and professional development and (3) well-being and burnout.ResultsSurveys were completed by 1420 trainees (73% residents, 27% fellows), most commonly from the USA (n=670), China (n=150), Saudi Arabia (n=76) and Taiwan (n=75). Trainees who cared for a greater number of patients with COVID-19 were more likely to report limited access to PPE and COVID-19 testing and more likely to test positive for COVID-19. Compared with trainees who did not take care of patients with COVID-19 , those who took care of 1-30 patients (adjusted OR [AOR] 1.80, 95% CI 1.29 to 2.51), 31-60 patients (AOR 3.30, 95% CI 1.86 to 5.88) and >60 patients (AOR 4.03, 95% CI 2.12 to 7.63) were increasingly more likely to report burnout. Trainees were very concerned about the negative effects on training opportunities and professional development irrespective of the number of patients with COVID-19 they cared for.ConclusionExposure to patients with COVID-19 is significantly associated with higher burnout rates in physician trainees.
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- 2021
230. Electric-Responsive Materials: Properties, Design, and Applications
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Ahmadi, Sepideh, primary, Fatahi, Yousef, additional, Safarkhani, Moein, additional, Rabiee, Mohammad, additional, Warkiani, Majid Ebrahimi, additional, and Rabiee, Navid, additional
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- 2023
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231. RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
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Ghorbani, Mahsa, Kazi, Anees, Baghshah, Mahdieh Soleymani, Rabiee, Hamid R., and Navab, Nassir
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Computer Science - Machine Learning - Abstract
Disease prediction is a well-known classification problem in medical applications. GCNs provide a powerful tool for analyzing the patients' features relative to each other. This can be achieved by modeling the problem as a graph node classification task, where each node is a patient. Due to the nature of such medical datasets, class imbalance is a prevalent issue in the field of disease prediction, where the distribution of classes is skewed. When the class imbalance is present in the data, the existing graph-based classifiers tend to be biased towards the major class(es) and neglect the samples in the minor class(es). On the other hand, the correct diagnosis of the rare positive cases among all the patients is vital in a healthcare system. In conventional methods, such imbalance is tackled by assigning appropriate weights to classes in the loss function which is still dependent on the relative values of weights, sensitive to outliers, and in some cases biased towards the minor class(es). In this paper, we propose a Re-weighted Adversarial Graph Convolutional Network (RA-GCN) to prevent the graph-based classifier from emphasizing the samples of any particular class. This is accomplished by associating a graph-based neural network to each class, which is responsible for weighting the class samples and changing the importance of each sample for the classifier. Therefore, the classifier adjusts itself and determines the boundary between classes with more attention to the important samples. The parameters of the classifier and weighting networks are trained by an adversarial approach. We show experiments on synthetic and three publicly available medical datasets. RA-GCN demonstrates the superiority compared to recent methods in identifying the patient's status on all three datasets. The detailed analysis is provided as quantitative and qualitative experiments on synthetic datasets.
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- 2021
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232. Microbial Contamination and Disease Outbreaks Associated with Rockmelons (Cucumis melo): Implications for Public Health Protection
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Pouria Rabiee, Ayesha Faraz, Said Ajlouni, and Malik A. Hussain
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cantaloupe ,Listeria monocytogenes ,Salmonella ,Escherichia Coli ,foodborne illness ,food poisoning ,Chemical technology ,TP1-1185 - Abstract
Foodborne illnesses caused by consuming contaminated fresh produce not only pose serious public health risks but also lead to huge economic losses. Rockmelons (cantaloupes) have emerged as a recurrent source of disease outbreaks caused by foodborne pathogens, including Listeria monocytogenes, Salmonella, and Escherichia coli. The most common factor of the outbreaks was the microbial contamination of rockmelons at the farm, and subsequently, the pathogenic bacteria were transferred to the flesh during cutting and processing. One of the deadliest outbreaks occurred in the USA due to L. monocytogenes contamination of rockmelons which caused 33 deaths in 2011. Since then, several guidelines and recommendations have been developed for food safety management to reduce the microbial contamination of melons on farms and post-harvest operations. This article explicitly provides an updated overview of microbiological contamination, disease outbreaks, pathogens prevalence, and mitigation strategies to reduce public health risks due to the consumption of rockmelons.
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- 2024
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233. Correction: Rabiee et al. Silver and Gold Nanoparticles for Antimicrobial Purposes against Multi-Drug Resistance Bacteria. Materials 2022, 15, 1799
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Navid Rabiee, Sepideh Ahmadi, Omid Akhavan, and Rafael Luque
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n/a ,Technology ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Microscopy ,QH201-278.5 ,Descriptive and experimental mechanics ,QC120-168.85 - Abstract
Following publication [...]
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- 2024
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234. Deep Graph Generators: A Survey
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Faez, Faezeh, Ommi, Yassaman, Baghshah, Mahdieh Soleymani, and Rabiee, Hamid R.
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Social and Information Networks - Abstract
Deep generative models have achieved great success in areas such as image, speech, and natural language processing in the past few years. Thanks to the advances in graph-based deep learning, and in particular graph representation learning, deep graph generation methods have recently emerged with new applications ranging from discovering novel molecular structures to modeling social networks. This paper conducts a comprehensive survey on deep learning-based graph generation approaches and classifies them into five broad categories, namely, autoregressive, autoencoder-based, RL-based, adversarial, and flow-based graph generators, providing the readers a detailed description of the methods in each class. We also present publicly available source codes, commonly used datasets, and the most widely utilized evaluation metrics. Finally, we highlight the existing challenges and discuss future research directions.
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- 2020
235. On the Observability and Controllability of Large-Scale IoT Networks: Reducing Number of Unmatched Nodes via Link Addition
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Doostmohammadian, Mohammadreza and Rabiee, Hamid R.
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Networking and Internet Architecture ,Computer Science - Social and Information Networks - Abstract
In this paper, we study large-scale networks in terms of observability and controllability. In particular, we compare the number of unmatched nodes in two main types of Scale-Free (SF) networks: the Barab{\'a}si-Albert (BA) model and the Holme-Kim (HK) model. Comparing the two models based on theory and simulation, we discuss the possible relation between clustering coefficient and the number of unmatched nodes. In this direction, we propose a new algorithm to reduce the number of unmatched nodes via link addition. The results are significant as one can reduce the number of unmatched nodes and therefore number of embedded sensors/actuators in, for example, an IoT network. This may significantly reduce the cost of controlling devices or monitoring cost in large-scale systems.
- Published
- 2020
236. Ebhaam at SemEval-2023 Task 1: A CLIP-Based Approach for Comparing Cross-modality and Unimodality in Visual Word Sense Disambiguation.
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Zeinab Taghavi 0001, Parsa Haghighi Naeini, Mohammad Ali Sadraei Javaheri, Soroush Gooran, Ehsaneddin Asgari, Hamid Reza Rabiee, and Hossein Sameti
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- 2023
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237. Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection.
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Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, and Ehsaneddin Asgari
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- 2023
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238. Soft-Minimum Barrier Functions for Safety-Critical Control Subject to Actuation Constraints.
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Pedram Rabiee and Jesse B. Hoagg
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- 2023
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239. An Observer-based Event-Triggered Cooperative Secondary Control of Microgrids under Switching Topologies.
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Masood Mottaghizadeh, Innocent Kamwa, Abbas Rabiee, and Seyed Masoud Mohseni-Bonab
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- 2023
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240. Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data.
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S. M. F. Sani, Seyed Abbas Hosseini, and Hamid R. Rabiee
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- 2023
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241. A Two-Stage Stochastic Techno-Economic Optimal ESS Sizing Model to Enable Maximum Exploitation of RESs.
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Seyed Masoud Mohseni-Bonab, Ali Alizadeh, Innocent Kamwa, and Abbas Rabiee
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- 2023
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242. Development and Implementation of Multidisciplinary Liver Tumor Boards in the Veterans Affairs Health Care System: A 10-Year Experience.
- Author
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Rabiee, Atoosa, Taddei, Tamar, Aytaman, Ayse, Rogal, Shari S, Kaplan, David E, and Morgan, Timothy R
- Subjects
hepatocellular carcinoma ,tumor board ,veterans affairs ,Clinical Research ,Cancer ,Digestive Diseases ,Health Services ,Liver Disease ,Clinical Trials and Supportive Activities ,8.1 Organisation and delivery of services ,Oncology and Carcinogenesis - Abstract
In this perspective piece, we summarize the development and implementation of multidisciplinary liver tumor boards across the Veterans Affairs health care system dating back to 2010. Referral to multidisciplinary tumor boards (MDLTB) has been demonstrated to decrease the number of unnecessary invasive procedures, reduce health care costs and maximize patient outcomes. Although the VA is the largest single care provider in the US, there is significant heterogeneity in healthcare delivery. We have shown that receiving care at VA centers with MDLTB is associated with higher odds of receiving active therapy and a 13% reduction in mortality. Access to expert hepatology care appears to be one of the critical benefits of MDLTB resulting in 30% reduction in mortality. Integrated health care systems such as the VA have the unique capability of implementing virtual tumor boards that can easily overcome geographic barriers and standardize care across multiple facilities regardless of their access to hepatology or other disciplines. Significant barriers remain requiring implementation plans. This document serves as a roadmap to establish multidisciplinary tumor boards, including standardization of imaging reports, identifying stake holders who need to be present at tumor board, institution buy-in, and specifics for local, regional and integrated service network tumor boards.
- Published
- 2021
243. The role of coenzyme Q10 as a preventive and therapeutic agent for the treatment of cancers
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Ghasempour Dabaghi, Ghazal, Rabiee Rad, Mehrdad, Mohammad-Zamani, Mahtab, Karimi Shervedani, Atieh, Bahrami-Samani, Farnaz, and Heshmat-Ghahdarijani, Kiyan
- Published
- 2024
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244. Metal-organic frameworks (MOFs) and their applications in detection, conversion, and depletion of nitroaromatic pollutants
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Ahmadi, Sepideh, Fatahi, Yousef, Saeb, Mohammad Reza, Kim, Dokyoon, Shokouhimehr, Mohammadreza, Iravani, Siavash, Rabiee, Navid, and Varma, Rajender S.
- Published
- 2024
- Full Text
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245. Rapid and efficient removal of methylene blue dye from aqueous solutions using extract-modified Zn–Al LDH
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Bagherzadeh, Mojtaba, Salehi, Ghazal, and Rabiee, Navid
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- 2024
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246. Hepatocellular Carcinoma Diagnosis and Management in 2021: A National Veterans Affairs Quality Improvement Project
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Rogal, Shari S., Taddei, Tamar H., Monto, Alexander, Yakovchenko, Vera, Patton, Heather, Merante, Monica, Spoutz, Patrick, Chia, Linda, Yudkevich, Jennifer, Aytaman, Ayse, Rabiee, Atoosa, John, Binu V., Blechacz, Boris, Cai, Cindy X., Gilles, HoChong, Shah, Anand S., McCurdy, Heather, Puri, Puneet, Jou, Janice, Mazhar, Khurram, Dominitz, Jason A., Anwar, Jennifer, Morgan, Timothy R., and Ioannou, George N.
- Published
- 2024
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247. Doxorubicin bioavailability to human hemoglobin and cancer cells via MOF-A520
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Edrisi, Mohammad, Daneshgar, Hossein, Rabiee, Navid, Arghavani, Payam, Moosavi-Movahedi, Faezeh, Zare Karizak, Ashkan, Khatibi, Ali, Hong, Jun, Bagherzadeh, Mojtaba, and Moosavi-Movahedi, Ali A.
- Published
- 2024
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248. High-pressure core meltdown and hydrogen generation during in-vessel and ex-vessel phases of VVER-1000 nuclear reactor and effect of heat structures
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Soltanmohammadi, Saied, Rabiee, Ataollah, and Hadad, Kamal
- Published
- 2024
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249. Implementing a global mentoring program: A call to action for mentorship in surgery
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Chen, Joanna, Nazir, Anisa, Gerk, Ayla, Rabiee, Pedra, Faria, Isabella, Blake, Kaela, and Vaghaiwalla, Tanaz
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- 2024
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250. Inspired by nature: Bioinspired and biomimetic photocatalysts for biomedical applications
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Bigham, Ashkan, Zarepour, Atefeh, Safarkhani, Moein, Huh, YunSuk, Khosravi, Arezoo, Rabiee, Navid, Iravani, Siavash, and Zarrabi, Ali
- Published
- 2024
- Full Text
- View/download PDF
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