124 results on '"Gautam, Prem"'
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2. Impact evaluation of scientific japanese quail rearing practices in Bihar under Arya project
- Author
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Kushwah, Sunita, Gautam, Prem Prakash, Singh, Anup Kumar, Kumar, Narendra, and Kundu, Madhu Sudan
- Published
- 2022
- Full Text
- View/download PDF
3. Poor sleep duration and E-cigarette/Cigarette use among US adults with cardiovascular diseases: findings from the 2022 BRFSS cross-sectional study
- Author
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Li, Wei, Kalan, Mohammad Ebrahimi, Kondracki, Anthony J., Gautam, Prem, Jebai, Rime, Erinoso, Olufemi, and Osibogun, Olatokunbo
- Published
- 2024
- Full Text
- View/download PDF
4. Privacy right of lgbt and media
- Author
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Gautam, Prem Kumar and Verma, Sudershan
- Published
- 2014
5. Examining of Heavy Metal Concentrations in Hookah Smokers
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Ghaderi, Amir, Khoshakhlagh, Amir Hossein, Irani, Masoome, Ghaseminezhad, Azam, Gautam, Prem, Mirzaei, Nezam, Banafshe, Hamid Reza, Nemati, Bahador, and Ghalerashidi, Heshmatollah Moradpour
- Published
- 2023
- Full Text
- View/download PDF
6. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
- Author
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Schumacher, Austin E, Kyu, Hmwe Hmwe, Aali, Amirali, Abbafati, Cristiana, Abbas, Jaffar, Abbasgholizadeh, Rouzbeh, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abdurehman, Ame Mehadi, Abebe, Mesfin, Abedi, Aidin, Abedi, Armita, Abegaz, Tadesse M, Abeldaño Zuñiga, Roberto Ariel, Abhilash, E S, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abrigo, Michael R M, Abtahi, Dariush, Abu Rumeileh, Samir, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Adair, Tim, Addo, Isaac Yeboah, Adebayo, Oladimeji M, Adegboye, Oyelola A, Adekanmbi, Victor, Aden, Bashir, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adeyeoluwa, Temitayo Esther, Adeyomoye, Olorunsola Israel, Adha, Rishan, Adibi, Amin, Adikusuma, Wirawan, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afework, Abel, Afolabi, Aanuoluwapo Adeyimika, Afraz, Ali, Afyouni, Shadi, Afzal, Saira, Agasthi, Pradyumna, Aghamiri, Shahin, Agodi, Antonella, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmadzade, Mohadese, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Ajumobi, Olufemi, Akalu, Gizachew Taddesse, Akara, Essona Matatom, Akinosoglou, Karolina, Akkala, Sreelatha, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Al Homsi, Ammar, Al Qadire, Mohammad, Ala, Moein, Aladelusi, Timothy Olukunle, AL-Ahdal, Tareq Mohammed Ali, Alalalmeh, Samer O, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Zufishan, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albashtawy, Mohammed, AlBataineh, Mohammad T, Aldridge, Robert W, Alemi, Sharifullah, Al-Eyadhy, Ayman, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Akhtar, Ali, Beriwan Abdulqadir, Ali, Hassam, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Zahid, Alian Samakkhah, Shohreh, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aligol, Mohammad, Alimi, Rasoul, Aliyi, Ahmednur Adem, Al-Jumaily, Adel, Aljunid, Syed Mohamed, Almahmeed, Wael, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Omar, Alomari, Mahmoud A, Alonso, Nivaldo, Alqahtani, Jaber S, Alqutaibi, Ahmed Yaseen, Al-Sabah, Salman Khalifah, Altaf, Awais, Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Alvi, Farrukh Jawad, Alwafi, Hassan, Al-Worafi, Yaser Mohammed, Aly, Hany, Alzoubi, Karem H, Amare, Azmeraw T, Ameyaw, Edward Kwabena, Amhare, Abebe Feyissa, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Aminian Dehkordi, Javad, Amiri, Sohrab, Amu, Hubert, Amugsi, Dickson A, Amzat, Jimoh, Ancuceanu, Robert, Anderlini, Deanna, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Angappan, Dhanalakshmi, Anil, Abhishek, Anjum, Afifa, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Iyadunni Adesola, Anwar, Sumadi Lukman, Anyasodor, Anayochukwu Edward, Appiah, Seth Christopher Yaw, Aqeel, Muhammad, Arabloo, Jalal, Arabzadeh Bahri, Razman, Arab-Zozani, Morteza, Arafat, Mosab, Araújo, Ana Margarida, Aravkin, Aleksandr Y, Aremu, Abdulfatai, Ariffin, Hany, Aripov, Timur, Armocida, Benedetta, Arooj, Mahwish, Artamonov, Anton A, Artanti, Kurnia Dwi, Arulappan, Judie, Aruleba, Idowu Thomas, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Asaad, Malke, Asgary, Saeed, Ashemo, Mubarek Yesse, Ashraf, Muhammad, Asika, Marvellous O, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Atreya, Alok, Attia, Sameh, Aujayeb, Avinash, Avan, Abolfazl, Awotidebe, Adedapo Wasiu, Ayala Quintanilla, Beatriz Paulina, Ayanore, Martin Amogre, Ayele, Getnet Melaku, Ayuso-Mateos, Jose 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R, Cembranel, Francieli, Cenderadewi, Muthia, Cercy, Kelly M, Cerin, Ester, Cevik, Muge, Chacón-Uscamaita, Pamela R Uscamaita, Chahine, Yaacoub, Chakraborty, Chiranjib, Chan, Jeffrey Shi Kai, Chang, Chin-Kuo, Charalampous, Periklis, Charan, Jaykaran, Chattu, Vijay Kumar, Chatzimavridou-Grigoriadou, Victoria, Chavula, Malizgani Paul, Cheema, Huzaifa Ahmad, Chen, An-Tian, Chen, Haowei, Chen, Lingxiao, Chen, Meng Xuan, Chen, Simiao, Cherbuin, Nicolas, Chew, Derek S, Chi, Gerald, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, So Mi Jemma, Cho, William C S, Chong, Bryan, Chopra, Hitesh, Choudhary, Rahul, Chowdhury, Rajiv, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Eunice, Chung, Sheng-Chia, Cini, Karly I, Clark, Cain C T, Coberly, Kaleb, Columbus, Alyssa, Comfort, Haley, Conde, Joao, Conti, Sara, Cortesi, Paolo Angelo, Costa, Vera Marisa, Cousin, Ewerton, Cowden, Richard G, Criqui, Michael H, Cruz-Martins, Natália, Culbreth, Garland T, Cullen, Patricia, Cunningham, Matthew, da Silva e Silva, Daniel, Dadana, Sriharsha, Dadras, Omid, Dai, Zhaoli, Dalal, Koustuv, Dalli, Lachlan L, Damiani, Giovanni, D'Amico, Emanuele, Daneshvar, Sara, Darwesh, Aso Mohammad, Das, Jai K, Das, Saswati, Dash, Nihar Ranjan, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, Davletov, Kairat, De Leo, Diego, Debele, Aklilu Tamire, Degenhardt, Louisa, Dehbandi, Reza, Deitesfeld, Lee, Delgado-Enciso, Ivan, Delgado-Ortiz, Laura, Demant, Daniel, Demessa, Berecha Hundessa, Demetriades, Andreas K, Deng, Xinlei, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Desai, Hardik Dineshbhai, Desai, Rupak, Deuba, Keshab, Devanbu, Vinoth Gnana Chellaiyan, Dey, Sourav, Dhali, Arkadeep, Dhama, Kuldeep, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Dhingra, Sameer, Dias da Silva, Diana, Diaz, Daniel, Dima, Adriana, Ding, Delaney D, Dirac, M Ashworth, Dixit, Abhinav, Dixit, Shilpi Gupta, Do, Thanh Chi, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dodangeh, Masoud, Dokova, Klara Georgieva, Dolecek, Christiane, Dorsey, E Ray, dos Santos, Wendel Mombaque, Doshi, Rajkumar, Doshmangir, Leila, Douiri, Abdel, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Haneil Larson, Dube, John, Dumith, Samuel C, Dunachie, Susanna J, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dutta, Sulagna, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Ebenezer, Oluwakemi, Eboreime, Ejemai, Ebrahimi, Alireza, Echieh, Chidiebere Peter, Ed-Dra, Abdelaziz, Edinur, Hisham Atan, Edvardsson, David, Edvardsson, Kristina, Efendi, Defi, Efendi, Ferry, Eghdami, Shayan, Eikemo, Terje Andreas, Eini, Ebrahim, Ekholuenetale, Michael, Ekpor, Emmanuel, Ekundayo, Temitope Cyrus, El Arab, Rabie Adel, El Morsi, Doaa Abdel Wahab, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elbarazi, Iffat, Elemam, Noha Mousaad, Elgar, Frank J, Elgendy, Islam Y, ElGohary, Ghada Metwally Tawfik, Elhabashy, Hala Rashad, Elhadi, Muhammed, Elmeligy, Omar Abdelsadek Abdou, Elshaer, Mohammed, Elsohaby, Ibrahim, Emami Zeydi, Amir, Emamverdi, Mehdi, Emeto, Theophilus I, Engelbert Bain, Luchuo, Erkhembayar, Ryenchindorj, Eshetie, Tesfahun C, Eskandarieh, Sharareh, Espinosa-Montero, Juan, Estep, Kara, Etaee, Farshid, Eze, Ugochukwu Anthony, Fabin, Natalia, Fadaka, Adewale Oluwaseun, Fagbamigbe, Adeniyi Francis, Fahimi, Saman, Falzone, Luca, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Farjoud Kouhanjani, Mohsen, Faro, Andre, Farrokhpour, Hossein, Fatehizadeh, Ali, Fattahi, Hamed, Fauk, Nelsensius Klau, Fazeli, Pooria, Feigin, Valery L, Fekadu, Ginenus, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferrante, Daniela, Ferrara, Pietro, Ferreira, Nuno, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Flavel, Joanne, Flaxman, Abraham D, Flor, Luisa S, Florin, Bobirca Teodor, Folayan, Morenike Oluwatoyin, Foley, Kristen Marie, Fomenkov, Artem Alekseevich, Force, Lisa M, Fornari, Carla, Foroutan, Behzad, Foschi, Matteo, Francis, Kate Louise, Franklin, Richard Charles, Freitas, Alberto, Friedman, Joseph, Friedman, Sara D, Fukumoto, Takeshi, Fuller, John E, Gaal, Peter Andras, Gadanya, Muktar A, Gaihre, Santosh, Gaipov, Abduzhappar, Gakidou, Emmanuela, Galali, Yaseen, Galehdar, Nasrin, Gallus, Silvano, Gan, Quan, Gandhi, Aravind P, Ganesan, Balasankar, Garg, Jalaj, Gau, Shuo-Yan, Gautam, Prem, Gautam, Rupesh K, Gazzelloni, Federica, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay Brhane, Gerema, Urge, Getachew, Motuma Erena, Getachew, Tamirat, Gething, Peter W, Ghafourifard, Mansour, Ghahramani, Sulmaz, Ghailan, Khalid Yaser, Ghajar, Alireza, Ghanbarnia, Mohammad Javad, Ghasemi, MohammadReza, Ghasemzadeh, Afsaneh, Ghassemi, Fariba, Ghazy, Ramy Mohamed, Ghimire, Sailaja, Gholamian, Asadollah, Gholamrezanezhad, Ali, Ghorbani Vajargah, Pooyan, Ghozali, Ghozali, Ghozy, Sherief, Ghuge, Arun Digambarrao, Gialluisi, Alessandro, Gibson, Ruth Margaret, Gil, Artyom Urievich, Gill, Paramjit Singh, Gill, Tiffany K, Gillum, Richard F, Ginindza, Themba G, Girmay, Alem, Glasbey, James C, Gnedovskaya, Elena V, Göbölös, Laszlo, Goel, Amit, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Golestanfar, Arefeh, Golinelli, Davide, Gona, Philimon N, Goudarzi, Houman, Goudarzian, Amir Hossein, Goyal, Anmol, Greenhalgh, Scott, Grivna, Michal, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Gudeta, Mesay Dechasa, Guha, Avirup, Guicciardi, Stefano, Gunawardane, Damitha Asanga, Gunturu, Sasidhar, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Indarchand Ratanlal, Gupta, Rajat Das, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Habibzadeh, Farrokh, Habibzadeh, Parham, Hachinski, Vladimir, Haddadi, Mohammad, Haddadi, Rasool, Haep, Nils, Hajj Ali, Adel, Halboub, Esam S, Halim, Sobia Ahsan, Hall, Brian J, Haller, Sebastian, Halwani, Rabih, Hamadeh, Randah R, Hamagharib Abdullah, Kanaan, Hamidi, Samer, Hamiduzzaman, Mohammad, Hammoud, Ahmad, Hanifi, Nasrin, Hankey, Graeme J, Hannan, Md Abdul, Haque, Md Nuruzzaman, Harapan, Harapan, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, Faizul, Hasan, Ikramul, Hasan, M Tasdik, Hasani, Hamidreza, Hasanian, Mohammad, Hasanpour- Dehkordi, Ali, Hassan, Abbas M, Hassan, Amr, Hassanian-Moghaddam, Hossein, Hassanipour, Soheil, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hbid, Youssef, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Golnaz, Heidari, Mohammad, Heidari-Foroozan, Mahsa, Heidari-Soureshjani, Reza, Helfer, Bartosz, Herteliu, Claudiu, Hesami, Hamed, Hettiarachchi, Dineshani, Heyi, Demisu Zenbaba, Hezam, Kamal, Hiraike, Yuta, Hoffman, Howard J, Holla, Ramesh, Horita, Nobuyuki, Hossain, Md Belal, Hossain, Md Mahbub, Hossain, Sahadat, Hosseini, Mohammad-Salar, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hsairi, Mohamed, Hsieh, Vivian Chia-rong, Hu, Chengxi, Huang, Junjie, Huda, Md Nazmul, Hugo, Fernando N, Hultström, Michael, Hussain, Javid, Hussain, Salman, Hussein, Nawfal R, Huy, Le Duc, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Idowu, Oluwatope Olaniyi, Ijo, Desta, Ikuta, Kevin S, Ilaghi, Mehran, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iradukunda, Arnaud, Iravanpour, Farideh, Iregbu, Kenneth Chukwuemeka, Islam, Md Rabiul, Islam, Mohammad Mainul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iwu-Jaja, Chinwe Juliana, Iyer, Mahalaxmi, J, Linda Merin, Jaafari, Jalil, Jacob, Louis, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Jafarinia, Morteza, Jaggi, Khushleen, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jakovljevic, Mihajlo, Jalilzadeh Yengejeh, Reza, Jamshidi, Elham, Jani, Chinmay T, Janko, Mark M, Jatau, Abubakar Ibrahim, Jayapal, Sathish Kumar, Jayaram, Shubha, Jeganathan, Jayakumar, Jema, Alelign Tasew, Jemere, Digisie Mequanint, Jeong, Wonjeong, Jha, Anil K, Jha, Ravi Prakash, Ji, John S, Jiang, Heng, Jin, Yingzhao, Jin, Yinzi, Johnson, Olatunji, Jomehzadeh, Nabi, Jones, Darwin Phan, Joo, Tamas, Joseph, Abel, Joseph, Nitin, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kaambwa, Billingsley, Kabir, Ali, Kabir, Hannaneh, Kabir, Zubair, Kadashetti, Vidya, Kahe, Farima, Kakodkar, Pradnya Vishal, Kalani, Rizwan, Kalankesh, Leila R, Kaliyadan, Feroze, Kalra, Sanjay, Kamath, Ashwin, Kamireddy, Arun, Kanagasabai, Thanigaivelan, Kandel, Himal, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kantar, Rami S, Kapoor, Neeti, Karajizadeh, Mehrdad, Karami Matin, Behzad, Karanth, Shama D, Karaye, Ibraheem M, Karim, Asima, Karimi, Hanie, Karimi, Salah Eddin, Karimi Behnagh, Arman, Karkhah, Samad, Karna, Ajit K, Kashoo, Faizan Zaffar, Kasraei, Hengameh, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J, Kassel, Molly B, Katamreddy, Adarsh, Katikireddi, Srinivasa Vittal, Katoto, Patrick DMC, Kauppila, Joonas H, Kaur, Navjot, Kaydi, Neda, Kayibanda, Jeanne Françoise, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Kazeminia, sara, Keikavoosi-Arani, Leila, Keller, Cathleen, Kempen, John H, Kerr, Jessica A, Kesse-Guyot, Emmanuelle, Keykhaei, Mohammad, Khadembashiri, Mohamad Mehdi, Khadembashiri, Mohammad Amin, Khafaie, Morteza Abdullatif, Khajuria, Himanshu, Khalafi, Mohammad, Khalaji, Amirmohammad, Khalid, Nauman, Khalil, Ibrahim A, Khamesipour, Faham, Khan, Asaduzzaman, Khan, Gulfaraz, Khan, Ikramullah, Khan, Imteyaz A, Khan, Maseer, Khan, Moien AB, Khan, Taimoor, Khan suheb, Mahammed Ziauddin, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatami, Fatemeh, Khavandegar, Armin, Khayat Kashani, Hamid Reza, Kheirallah, Khalid A, Khidri, Feriha Fatima, Khodadoust, Elaheh, Khormali, Moein, Khosrowjerdi, Mahmood, Khubchandani, Jagdish, Khusun, Helda, Kifle, Zemene Demelash, Kim, Grace, Kim, Jihee, Kimokoti, Ruth W, Kinzel, Kasey E, Kiross, Girmay Tsegay, Kisa, Adnan, Kisa, Sezer, Kiss, Juniper Boroka, Kivimäki, Mika, Klu, Desmond, Knudsen, Ann Kristin Skrindo, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Kosen, Soewarta, Kostev, Karel, Kotnis, Ashwin Laxmikant, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krishna, Hare, Krishnamoorthy, Vijay, Krishnamoorthy, Yuvaraj, Krohn, Kris J, Kuate Defo, Barthelemy, Kubeisy, Connor M, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kujan, Omar, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, Ashish, Kumar, Harish, Kumar, Nithin, Kumar, Rahul, Kumar, Shiv, Kumari, Madhulata, Kurmanova, Almagul, Kurmi, Om P, Kusnali, Asep, Kusuma, Dian, Kutluk, Tezer, Kuttikkattu, Ambily, Kyei, Evans F, Kyriopoulos, Ilias, La Vecchia, Carlo, Ladan, Muhammad Awwal, Laflamme, Lucie, Lahariya, Chandrakant, Lahmar, Abdelilah, Lai, Daphne Teck Ching, Laksono, Tri, Lal, Dharmesh Kumar, 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7. Agricultural Mechanization for Efficient Utilization of Input Resources to Improve Crop Production in Arid Region
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Gautam, Prem Veer, Mansuri, Shekh Mukhtar, Prakash, Om, Pramendra, Patel, Abhishek, Shukla, Prabhakar, kushwaha, Hari Lal, Naorem, Anandkumar, editor, and Machiwal, Deepesh, editor
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- 2023
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8. Advances in Micro-Irrigation Practices for Improving Water Use Efficiency in Dryland Agriculture
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Patel, Abhishek, Kushwaha, N. L., Rajput, Jitendra, Gautam, Prem Veer, Naorem, Anandkumar, editor, and Machiwal, Deepesh, editor
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- 2023
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9. The Effects of Pictorial Health Warning Label on Waterpipe (Low- and High-Frequency) Smokers’ Experiences, Toxicant Exposures, and Puffing Behavior
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Gautam, Prem, Kalan, Mohammad Ebrahimi, Li, Wei, Taleb, Ziyad Ben, Vargas-Rivera, Mayra, Jebai, Rime, Osibogun, Olatokunbo, and Maziak, Wasim
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- 2023
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10. Optimisation and modelling of draft and rupture width using response surface methodology and artificial neural network for tillage tools
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Gautam, Prem Veer, Tiwari, Prem Shanker, Agrawal, Kamal Nayan, Roul, Ajay Kumar, Kumar, Manoj, and Singh, Karan
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Tillage -- Models -- Mechanical properties ,Image processing ,Soil research ,Neural networks ,Neural network ,Agricultural industry ,Earth sciences - Abstract
Context. Soil-tool interaction modelling and optimisation reduce manufacturing costs and energy requirements for precision tillage equipment design. Diverse tillage tools have been designed to reduce draft requirements and desirable soil disturbance, but this is not fully understood. Aims. The current study investigated the effects of tool width, cone index, depth, and forward speed on draft with corresponding rupture width in order to develop response surface methodology (RSM) and artificial neural network (ANN) models and compared them to other models in order to predict draft and rupture width. Methods. Experiments were carried out in a soil bin with a vertisol, and rupture width was measured using an image processing technique. Key results. Using RSM, the optimum values for minimum draft with maximum rupture width within a range of independent variables were found to be l00 mm tool width, 600 kPa cone index, 141.63 mm tillage depth, and 3 km/h forward speed. For predicting the draft, the coefficients of determination ([R.sup.2]) for ANN and RSM models were 0.997 and 0.987, respectively; for rupture width prediction, [R.sup.2] were 0.921 and 0.976. Conclusions. Developed ANN and RSM models of draft and rupture width were better than other analytical or numerical models, and both models' predictions were in good agreement with experiment values within the range of [+ or -] 5% uncertainty. Implications. The developed models can be used to predict the draft and soil disturbance requirements of tillage tools and design precision tillage tools. Keywords: artificial neural network, cone index, draft, image processing, modelling, response surface methodology, rupture width, vertisols., Introduction Tillage operations are an unavoidable step in agricultural production systems, and consume energy and time. For a proper tillage operation, extensive knowledge of soil characteristics before, during, and after [...]
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- 2022
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11. Effect of harm perception on ENDS initiation among US adolescents and young adults: Longitudinal findings from the population assessment of tobacco and health (PATH) study, 2013–2018
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Li, Wei, Osibogun, Olatokunbo, Gautam, Prem, Li, Tan, Cano, Miguel Ángel, and Maziak, Wasim
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- 2023
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12. Nighttime sleep duration, daytime napping, and metabolic syndrome: findings from the China Health and Retirement Longitudinal Study
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Li, Wei, Kondracki, Anthony J., Sun, Ning, Gautam, Prem, Kalan, Mohammad Ebrahimi, Jebai, Rime, Gbadamosi, Semiu O., and Sun, Wenjie
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- 2022
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13. Engineering Interventions to Mitigate the Agricultural Waste in India
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Shukla, Prabhakar, Sudhakar, Anjali, Gautam, Prem Veer, Mansuri, Shekh Mukhtar, Rukhsana, editor, and Alam, Asraful, editor
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- 2022
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14. Prevalence and predictors of waterpipe smoking cessation among young adults in the US: Findings from a population-based study
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Gautam, Prem, Sharma, Eva, Li, Tan, and Maziak, Wasim
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- 2022
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15. Marijuana use modifies the association between heavy alcohol consumption and tobacco use patterns among US adults: Findings from Behavioral Risk Factor Surveillance System, 2020
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Osibogun, Olatokunbo, Erinoso, Olufemi, Gautam, Prem, Bursac, Zoran, and Osibogun, Akin
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- 2022
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16. Adolescence exposure to China’s great famine period and the association of metabolic syndrome in adulthood: a retrospective study
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Sun, Ning, Li, Wei, Osibogun, Olatokunbo, Kalan, Mohammad Ebrahimi, Jebai, Rime, Gautam, Prem, Taskin, Tanjila, Yin, Wupeng, Jones, Jeffery A., Gamber, Michelle, and Sun, Wenjie
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- 2022
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17. The association between sleep duration, napping, and stroke stratified by self-health status among Chinese people over 65 years old from the China health and retirement longitudinal study
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Li, Wei, Kondracki, Anthony, Gautam, Prem, Rahman, Abir, Kiplagat, Sandra, Liu, Houqin, and Sun, Wenjie
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- 2021
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18. Markers of oxidative stress and toxicant exposure among young waterpipe smokers in the USA
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Jebai, Rime, Ebrahimi Kalan, Mohammad, Vargas-Rivera, Mayra, Osibogun, Olatokunbo, Li, Wei, Gautam, Prem, Chao, Mu-Rong, Hu, Chiung-Wen, Bursac, Zoran, and Maziak, Wasim
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- 2021
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19. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
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Schumacher, A, Kyu, H, Aali, A, Abbafati, C, Abbas, J, Abbasgholizadeh, R, Abbasi, M, Abbasian, M, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdoun, M, Abdullahi, A, Abdurehman, A, Abebe, M, Abedi, A, Abegaz, T, Abeldaño Zuñiga, R, Abhilash, E, Abiodun, O, Aboagye, R, Abolhassani, H, Abouzid, M, Abreu, L, Abrha, W, Abrigo, M, Abtahi, D, Abu Rumeileh, S, Abu-Rmeileh, N, Aburuz, S, Abu-Zaid, A, Acuna, J, Adair, T, Addo, I, Adebayo, O, Adegboye, O, Adekanmbi, V, Aden, B, Adepoju, A, Adetunji, C, Adeyeoluwa, T, Adeyomoye, O, Adha, R, Adibi, A, Adikusuma, W, Adnani, Q, Adra, S, Afework, A, Afolabi, A, Afraz, A, Afyouni, S, Afzal, S, Agasthi, P, Aghamiri, S, Agodi, A, Agyemang-Duah, W, Ahinkorah, B, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, M, Ahmad, T, Ahmadi, K, Ahmadzade, A, Ahmadzade, M, Ahmed, A, Ahmed, H, Ahmed, L, Ahmed, M, Ahmed, S, Ajami, M, Aji, B, Ajumobi, O, Akalu, G, Akara, E, Akinosoglou, K, Akkala, S, Akyirem, S, Al Hamad, H, Al Hasan, S, Al Homsi, A, Al Qadire, M, Ala, M, Aladelusi, T, AL-Ahdal, T, Alalalmeh, S, Al-Aly, Z, Alam, K, Alam, M, Alam, Z, Al-amer, R, Alanezi, F, Alanzi, T, Albashtawy, M, Albataineh, M, Aldridge, R, Alemi, S, Al-Eyadhy, A, Al-Gheethi, A, Alhabib, K, Alhalaiqa, F, Al-Hanawi, M, Ali, A, Ali, B, Ali, H, Ali, M, Ali, R, Ali, S, Ali, Z, Alian Samakkhah, S, Alicandro, G, Alif, S, Aligol, M, Alimi, R, Aliyi, A, Al-Jumaily, A, Aljunid, S, Almahmeed, W, Al-Marwani, S, Al-Maweri, S, Almazan, J, Al-Mekhlafi, H, Almidani, O, Alomari, M, Alonso, N, Alqahtani, J, Alqutaibi, A, Al-Sabah, S, Altaf, A, Al-Tawfiq, J, Altirkawi, K, Alvi, F, Alwafi, H, Al-Worafi, Y, Aly, H, Alzoubi, K, Amare, A, Ameyaw, E, Amhare, A, Amin, T, Amindarolzarbi, A, Aminian Dehkordi, J, Amiri, S, Amu, H, Amugsi, D, Amzat, J, Ancuceanu, R, Anderlini, D, Andrade, P, Andrei, C, Andrei, T, Angappan, D, Anil, A, Anjum, A, Antony, C, Antriyandarti, E, Anuoluwa, I, Anwar, S, Anyasodor, A, Appiah, S, Aqeel, M, Arabloo, J, Arabzadeh Bahri, R, Arab-Zozani, M, Arafat, M, Araújo, A, Aravkin, A, Aremu, A, Ariffin, H, Aripov, T, Armocida, B, Arooj, M, Artamonov, A, Artanti, K, Arulappan, J, Aruleba, I, Aruleba, R, Arumugam, A, Asaad, M, Asgary, S, Ashemo, M, Ashraf, M, Asika, M, Athari, S, Atout, M, Atreya, A, Attia, S, Aujayeb, A, Avan, A, Awotidebe, A, Ayala Quintanilla, B, Ayanore, M, Ayele, G, Ayuso-Mateos, J, Ayyoubzadeh, S, Azadnajafabad, S, Azhar, G, Aziz, S, Azzam, A, Babashahi, M, Babu, A, Badar, M, Badawi, A, Badiye, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bai, J, Bai, R, Baker, J, Bakkannavar, S, Bako, A, Balakrishnan, S, Balogun, S, Baltatu, O, Bam, K, Banach, M, Bandyopadhyay, S, Banik, B, Banik, P, Bansal, H, Barati, S, Barchitta, M, Bardhan, M, Barker-Collo, S, Barone-Adesi, F, Barqawi, H, Barr, R, Barrero, L, Basharat, Z, Bashir, A, Bashiru, H, Baskaran, P, Basnyat, B, Bassat, Q, Basso, J, Basu, S, Batra, K, Batra, R, Baune, B, Bayati, M, Bayileyegn, N, Beaney, T, Bedi, N, Begum, T, Behboudi, E, Behnoush, A, Beiranvand, M, Bejarano Ramirez, D, Belgaumi, U, Bell, M, Bello, A, Bello, M, Bello, O, Belo, L, Beloukas, A, Bendak, S, Bennett, D, Bensenor, I, Benzian, H, Berezvai, Z, Berman, A, Bermudez, A, Bettencourt, P, Beyene, H, Beyene, K, Bhagat, D, Bhagavathula, A, Bhala, N, Bhalla, A, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, G, Bhatti, J, Bhatti, M, Bhatti, R, Bhutta, Z, Bikbov, B, Binmadi, N, Bintoro, B, Biondi, A, Bisignano, C, Bisulli, F, Biswas, A, Biswas, R, Bitaraf, S, Bjørge, T, Bleyer, A, Boampong, M, Bodolica, V, Bodunrin, A, Bolarinwa, O, Bonakdar Hashemi, M, Bonny, A, Bora, K, Bora Basara, B, Borodo, S, Borschmann, R, Botero Carvajal, A, Bouaoud, S, Boudalia, S, Boyko, E, Bragazzi, N, Braithwaite, D, Brenner, H, Britton, G, Browne, A, Brunoni, A, Bulamu, N, Bulto, L, Buonsenso, D, Burkart, K, Burns, R, Burugina Nagaraja, S, Busse, R, Bustanji, Y, Butt, Z, Caetano dos Santos, F, Cai, T, Calina, D, Cámera, L, 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M, Elbarazi, I, Elemam, N, Elgar, F, Elgendy, I, Elgohary, G, Elhabashy, H, Elhadi, M, Elmeligy, O, Elshaer, M, Elsohaby, I, Emami Zeydi, A, Emamverdi, M, Emeto, T, Engelbert Bain, L, Erkhembayar, R, Eshetie, T, Eskandarieh, S, Espinosa-Montero, J, Estep, K, Etaee, F, Eze, U, Fabin, N, Fadaka, A, Fagbamigbe, A, Fahimi, S, Falzone, L, Farinha, C, Faris, M, Farjoud Kouhanjani, M, Faro, A, Farrokhpour, H, Fatehizadeh, A, Fattahi, H, Fauk, N, Fazeli, P, Feigin, V, Fekadu, G, Fereshtehnejad, S, Feroze, A, Ferrante, D, Ferrara, P, Ferreira, N, Fetensa, G, Filip, I, Fischer, F, Flavel, J, Flaxman, A, Flor, L, Florin, B, Folayan, M, Foley, K, Fomenkov, A, Force, L, Fornari, C, Foroutan, B, Foschi, M, Francis, K, Franklin, R, Freitas, A, Friedman, J, Friedman, S, Fukumoto, T, Fuller, J, Gaal, P, Gadanya, M, Gaihre, S, Gaipov, A, Gakidou, E, Galali, Y, Galehdar, N, Gallus, S, Gan, Q, Gandhi, A, Ganesan, B, Garg, J, Gau, S, Gautam, P, Gautam, R, Gazzelloni, F, Gebregergis, M, Gebrehiwot, M, 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Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamshad, Hina, Shamshirgaran, Mohammad Ali, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Sharfaei, Sadaf, Sharifan, Amin, Shariff, Mariam, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Rajesh, Sharma, Saurab, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shaw, David H, Shayan, Amir Mehdi, Shehabeldine, Amr Mohamed Elsayed, Sheikh, Aziz, Sheikhi, Rahim Ali, Shen, Jiabin, Shenoy, Manjunath Mala, Shetty, B Suresh Kumar, Shetty, Ranjitha S, Shey, Robert Adamu, Shiani, Amir, Shibuya, Kenji, Shiferaw, Desalegn, Shigematsu, Mika, Shin, Jae Il, Shin, Min-Jeong, Shiri, Rahman, Shirkoohi, Reza, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shivarov, Velizar, Shool, Sina, Shrestha, Sunil, Shuja, Kanwar Hamza, Shuval, Kerem, Si, Yafei, Sibhat, Migbar Mekonnen, Siddig, Emmanuel Edwar, Sigfusdottir, Inga Dora, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simões, Jorge Piano, Simpson, Colin R, Singal, Anjali, Singh, Abhinav, Singh, Aditya, Singh, Ambrish, Singh, Balbir Bagicha, Singh, Baljinder, Singh, Mahendra, Singh, Mayank, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Sitas, Freddy, Sivakumar, Shravan, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Slepak, Erica Leigh N, Sohrabi, Hanye, Soleimani, Hamidreza, Soliman, Sameh S M, Solmi, Marco, Solomon, Yonatan, Song, Yimeng, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Starnes, Joseph R, Starodubov, Vladimir I, Starodubova, Antonina V, Stefan, Simona Cătălina, Stein, Dan J, Steinbeis, Fridolin, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Stortecky, Stefan, Stranges, Saverio, Stroumpoulis, Konstantinos, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Sunkersing, David, Susanty, Sri, Swain, Chandan Kumar, Sykes, Bryan L, Szarpak, Lukasz, Szeto, Mindy D, Szócska, Miklós, Tabaee Damavandi, Payam, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabb, Karen M, Tabish, Mohammad, Taborda-Barata, Luis M, Tabuchi, Takahiro, Tadesse, Birkneh Tilahun, Taheri, Amirmasoud, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Tajbakhsh, Ardeshir, Talaat, Iman M, Talukder, Ashis, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tang, Hong K, Tat, Nathan Y, Tat, Vivian Y, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tebeje, Tsion Mulat, Tefera, Yibekal Manaye, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Tesfaye, Solomon Hailemariam, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapa, Rajshree, Thapar, Rekha, Thomas, Nihal, Thrift, Amanda G, Thum, Chern Choong Chern, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tiruye, Tenaw Yimer, Tohidast, Seyed Abolfazl, Tonelli, Marcello, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tram, Khai Hoan, Tran, Nghia Minh, Trico, Domenico, Trihandini, Indang, Tromans, Samuel Joseph, Truong, Vien T, Truyen, Thien Tan Tri Tai, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tung, Kang, Tyrovolas, Stefanos, Ubah, Chukwudi S, Udoakang, Aniefiok John, Udoh, Arit, Ulhaq, Inam, Ullah, Saeed, Ullah, Sana, Umair, Muhammad, Umar, Tungki Pratama, Umeokonkwo, Chukwuma David, Umesh, Anushri, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Urso, Daniele, Vacante, Marco, Vahdani, Amir Mohammad, Vaithinathan, Asokan Govindaraj, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Van den Eynde, Jef, Varavikova, Elena, Varga, Orsolya, Varma, Siddhartha Alluri, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Veerman, Lennert J, Venketasubramanian, Narayanaswamy, Venugopal, Deneshkumar, Verghese, Nicholas Alexander, Verma, Madhur, Verma, Pratibha, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Vieira, Rafael José, Villafañe, Jorge Hugo, Villani, Leonardo, Villanueva, Gabriela Ines, Villeneuve, Paul J, Violante, Francesco S, Visontay, Rachel, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Volovat, Simona Ruxandra, Volovici, Victor, Vongpradith, Avina, Vos, Theo, Vujcic, Isidora S, Vukovic, Rade, Wado, Yohannes Dibaba, Wafa, Hatem A, Waheed, Yasir, Wamai, Richard G, Wang, Cong, Wang, Denny, Wang, Fang, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Ward, Paul, Watson, Stefanie, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weiss, Daniel J, Weldemariam, Abrha Hailay, Wells, Katherine M, Wen, Yi Feng, Werdecker, Andrea, Westerman, Ronny, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wijeratne, Tissa, Wilson, Shadrach, Wojewodzic, Marcin W, Wool, Eve E, Woolf, Anthony D, Wu, Dongze, Wulandari, Ratna Dwi, Xiao, Hong, Xu, Bin, Xu, Xiaoyue, Yadav, Lalit, Yaghoubi, Sajad, Yang, Lin, Yano, Yuichiro, Yao, Yao, Ye, Pengpeng, Yesera, Gesila Endashaw, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yiğit, Arzu, Yiğit, Vahit, Yip, Paul, Yon, Dong Keon, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yu, Chuanhua, Zadey, Siddhesh, Zadnik, Vesna, Zafari, Nima, Zahedi, Mohammad, Zahid, Muhammad Nauman, Zahir, Mazyar, Zakham, Fathiah, Zaki, Nazar, Zakzuk, Josefina, Zamagni, Giulia, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zamora, Nelson, Zand, Ramin, Zandi, Milad, Zandieh, Ghazal G Z, Zanghì, Aurora, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zeariya, Mohammed G M, Zeng, Youjie, Zhai, Chunxia, Zhang, Chen, Zhang, Haijun, Zhang, Hongwei, Zhang, Yunquan, Zhang, Zhaofeng, Zhang, Zhenyu, Zhao, Hanqing, Zhao, Yang, Zhao, Yong, Zheng, Peng, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Zhaohua, Ziaeefar, Pardis, Zielińska, Magdalena, Zou, Zhiyong, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Lim, Stephen S, and Murray, Christopher J L
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- 2024
20. Is there an association among sleep duration, nap, and stroke? Findings from the China Health and Retirement Longitudinal Study
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Li, Wei, Taskin, Tanjila, Gautam, Prem, Gamber, Michelle, and Sun, Wenjie
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- 2021
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21. Trends and Disparities in Waterpipe Tobacco Smoking Among US Adolescents and Adults: PATH Study 2013-2021.
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Ebrahimi Kalan, Mohammad, Li, Wei, Osibogun, Olatokunbo, Jebai, Rime, Gautam, Prem, Erinoso, Olufemi, Alemohammad, Seyede Yasaman, Khosravaniardakani, Sheida, Dargahi Abbasabad, Ghader, Behaleh, Raed, Ward, Kenneth D., Bursac, Zoran, and Ben Taleb, Ziyad
- Abstract
Background: Waterpipe tobacco smoking (WTS) is a popular mode of nicotine delivery among young people. We examined the trends and disparities in WTS from 2013 to 2021 among US adolescents and adults. Methods: Data were from Wave 1 (initially conducted among 32 320 adults and 13 651 adolescents) to Wave 6 (2013-2021) of the Population Assessment of Tobacco and Health Study. We assessed the weighted prevalence of ever and current (past 30-day) WTS for adults and adolescents across waves stratified by demographics. Results: From 2013-2021 among adolescents, the prevalence of ever and current WTS decreased by 86.5% (7.4% to 1.00%; p = 0.0364) and 97.1% (1.65% to 0.05%; p = 0.0012), respectively. Despite the decreasing trends among adolescents across all waves, females had a higher prevalence of ever and current WTS compared to males (p 's < 0.001 for all trends). Hispanics had the highest prevalence of ever WTS compared to other races/ethnicities (p 's < 0.001). Adolescents aged 15-17 had a higher (except Wave 6) prevalence of ever and current WTS than 12-14 years old (p 's < 0.001). For adults, the prevalence of ever WTS increased by 27.4% (16.39% to 20.92%; p = 0.0006), and current WTS decreased by 45.5% (2.19% to 1.24%; p = 0.0012). Young adults aged 18-24 experienced increasing trends in WTS and had the highest prevalence of ever and current WTS compared to other age groups (p 's < 0.001) across all waves. Conclusions: Our study indicates a notable decrease in adolescent WTS prevalence from 2013 to 2021 but an increase of ever WTS among adults. Demographic differences underscore disparities in WTS, calling for tailored interventions. [ABSTRACT FROM AUTHOR]
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- 2024
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22. Generation of Test Cases for Identification of Crime against Women through HLR and VLR
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Kumar, Hemant, primary, Shukla, Rishi, additional, Gautam, Prem Kumar, additional, Tiwari, Manjusha, additional, and Saxena, Vipin, additional
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- 2023
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23. Risk and safety profile of electronic nicotine delivery systems (ENDS): an umbrella review to inform ENDS health communication strategies.
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Asfar, Taghrid, Wei Li, Rime, Oluwole, Olusanya Joshua, Ferdous, Tarana, Gautam, Prem, Schmidt, Michael, Noar, Seth M., Lindblom, Eric N., Eissenberg, Thomas, Bursac, Zoran, Vallone, Donna, and Maziak, Wasim
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RISK assessment ,SMOKING cessation ,PATIENT safety ,CARDIOVASCULAR diseases ,MENTAL health ,NICOTINE ,ELECTRONIC cigarettes ,HEALTH ,AEROSOLS ,DRUG delivery systems ,INFORMATION resources ,RESPIRATORY diseases ,PUBLIC health ,QUALITY assurance - Published
- 2024
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24. Predictive modelling of sweep's specific draft using machine learning regression approaches
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Gautam, Prem Veer, primary, Agrawal, Kamal Nayan, additional, Roul, Ajay Kumar, additional, Mansuri, Shekh Mukhtar, additional, and Subeesh, A., additional
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- 2023
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25. Implements and Practices of Fishing in Kathekhola, Baglung, Nepal
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Khatri, Dambar Singh, primary, Kandel, Manish, additional, and Gautam, Prem Raj, additional
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- 2023
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26. COVID‐19 and tobacco products use among US adults, 2021 National Health Interview Survey
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Ebrahimi Kalan, Mohammad, primary, Jebai, Rime, additional, Li, Wei, additional, Gautam, Prem, additional, Alemohammad, Seyedeh Yasaman, additional, Mortazavizadeh, Zeinab, additional, Kenneth, D. Ward, additional, Chakraborty, Aditya, additional, Dargahi Abbasabad, Ghader, additional, Behaleh, Raed, additional, Bursac, Zoran, additional, and Ben Taleb, Ziyad, additional
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- 2023
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27. Premium and Non-Premium Cigar Use Among a Nationally Representative Sample of Reproductive Age Women: Findings from the 2010–2019 National Survey on Drug Use and Health
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Sharma, Eva, primary, Gautam, Prem, additional, Jao, Nancy C, additional, and Stroud, Laura R, additional
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- 2023
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28. Predictive modelling of sweep's specific draft using machine learning regression approaches.
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Gautam, Prem Veer, Agrawal, Kamal Nayan, Roul, Ajay Kumar, Mansuri, Shekh Mukhtar, and Subeesh, A.
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MACHINE learning ,PREDICTION models ,STANDARD deviations ,SUPPORT vector machines ,ARTIFICIAL neural networks - Abstract
Modelling and optimizing soil-tool interaction parameters for tillage operations is crucial for developing efficient and precise tools. This study focused on a specific draft of sweep tools in the soil bin filled with vertisol, considering factors such as tool geometry, cone index, working depth and operational speed. Data analysis showed that the range of specific draft values, from 9.51 to 38.95 kN/m2. Machine learning models, including artificial neural network (ANN), support vector machine (SVM), bagged trees (BT) and boosted trees (BoT), were developed using experimental data to predict the specific draft of sweep tools with hyperparameter configuration. The developed machine learning models have also been compared with the predictive multiple linear regression (MLR) model, and it was found that the predictive performance of the machine learning models was better than the MLR model during training and testing. The fine-tuned ANN model achieved impressive statistical performance with the lowest mean absolute error (MAE) of 0.489 kN/m2, root mean square error (RMSE) of 0.619 kN/m2, standard error of prediction (SEP) of 3.462% and highest coefficient of determination (R2) of .99 during testing. R2 values for BT, BoT, SVM and MLR models were .97, .96, .94 and .83, respectively, for specific draft predictions. The findings from this study have practical implications for optimizing sweep tool design and improving tillage operation. Manufacturers and farmers can benefit from predictive modelling using machine learning to design and select appropriate tillage tools for specific soil conditions. This approach can lead to improved soil health, increased yields and reduced costs. [ABSTRACT FROM AUTHOR]
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- 2024
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29. High on Hookah: Smoking Marijuana from a Hookah among Adults in the United States, Population Assessment of Tobacco and Health Study, 2015–2019
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Ebrahimi Kalan, Mohammad, primary, Jebai, Rime, additional, Li, Wei, additional, Gautam, Prem, additional, Osibogun, Olatokunbo, additional, Alqahtani, Mohammed M., additional, Ward, Kenneth D, additional, Behaleh, Raed, additional, Bursac, Zoran, additional, and Ben Taleb, Ziyad, additional
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- 2023
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30. Examining of Heavy Metal Concentrations in Hookah Smokers
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Ghaderi, Amir, primary, Khoshakhlagh, Amir Hossein, additional, Irani, Masoome, additional, Ghaseminezhad, Azam, additional, Gautam, Prem, additional, Mirzaei, Nezam, additional, Banafshe, Hamid Reza, additional, Nemati, Bahador, additional, and Ghalerashidi, Heshmatollah Moradpour, additional
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- 2022
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31. Risk and safety profile of electronic nicotine delivery systems (ENDS): an umbrella review to inform ENDS health communication strategies
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Asfar, Taghrid, primary, Jebai, Rime, additional, Li, Wei, additional, Oluwole, Olusanya Joshua, additional, Ferdous, Tarana, additional, Gautam, Prem, additional, Schmidt, Michael, additional, Noar, Seth M, additional, Lindblom, Eric N, additional, Eissenberg, Thomas, additional, Bursac, Zoran, additional, Vallone, Donna, additional, and Maziak, Wasim, additional
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- 2022
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32. Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020
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Jebai, Rime, primary, Osibogun, Olatokunbo, additional, Li, Wei, additional, Gautam, Prem, additional, Bursac, Zoran, additional, Ward, Kenneth D., additional, and Maziak, Wasim, additional
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- 2022
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33. Determinants of Waterpipe Smoking Trajectories and the Effects of Pictorial Health Warning Label among Young Waterpipe Smokers in the US
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Gautam, Prem and Gautam, Prem
- Abstract
In recent years waterpipe tobacco (WPT) smoking has increased among young people in the United States (US). Adequate characterization of the WPT smoking trajectories (initiation, progression, and cessation), their predictors, and examination of the effects of a pictorial health warning label (PHWL) on WPT smokers is essential to guide interventions and policies to curb WPT smoking among young people in the US. Using the Population Assessment of Tobacco and Health Study (PATH) and clinical lab data, this dissertation assessed: 1) prevalence and predictors of WPT smoking initiation and progression among adolescents and young adults; 2) magnitude and predictors of WPT cessation among young adults, and 3) the effects of PHWL on low- and high-frequency WPT smokers’ experiences, toxicant exposures, and puffing behavior. In the first study, between 2013-2018, 4.8% of the adolescents and 18.5% of young adults initiated WPT smoking. During the same period, 10.6% of adolescent WPT smokers and 14.1% of young adult-WPT smokers progressed in WPT smoking (increase in the frequency of smoking at any subsequent wave). Predictors of WPT initiation among adolescents include lower harm perception (adjusted odds ratio (aHR)=2.89, 95% confidence interval (CI)=2.10-3.98), and other tobacco products use (aHR=3.97, 95% CI=2.73-5.78), while predictors of WPT progression include illicit drug use (aHR=4.60, 95% CI=1.99-10.67). Among young adults, predictors of WPT initiation include lower harm perception (aHR=2.77, 95% CI=2.19-3.50), and other tobacco products use (aHR=3.14, 95% CI=2.25-4.38); while predictors of WPT progression were lower harm perception (aHR=1.80, 95% CI=1.41-2.30), and alcohol use (aHR=1.61, 95% CI=1.13-2.30). In the second study, 25.13% of the young adult WPT smokers quit smoking between waves 1-5 (2015-2019). The major predictor of WPT smoking cessation was regretting smoking (aHR= 2.33, 95% CI=1.29-4.21) whereas barriers to cessation were the lack of smoking restriction
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- 2022
34. Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020.
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Jebai, Rime, Osibogun, Olatokunbo, Li, Wei, Gautam, Prem, Bursac, Zoran, Ward, Kenneth D., and Maziak, Wasim
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CLUSTER sampling ,SUBSTANCE abuse ,ELECTRONIC cigarettes ,MIDDLE school students ,SMOKELESS tobacco ,REGRESSION analysis ,RACE ,SEX distribution ,DESCRIPTIVE statistics ,TOBACCO products ,STATISTICAL models ,DATA analysis software ,HIGH school students - Abstract
Objectives: Despite significant declines in cigarette smoking during the past decade, other tobacco products gained popularity among middle and high school students. This study examined temporal trends in exclusive and concurrent use of tobacco products among middle and high school students in the United States from 2011 through 2020. Methods: We used multiple annual datasets from the National Youth Tobacco Survey from 2011 through 2020 (N = 193 350) to examine trends of current (past 30 days) exclusive, dual, and poly use of tobacco products (ie, cigarettes, electronic cigarettes [e-cigarettes], cigars, hookahs, and smokeless tobacco). We used joinpoint regression models to calculate log-linear trends in annual percentage change (APC). Results: During 2011-2020, exclusive use of any tobacco product decreased significantly, except for e-cigarettes, which increased significantly at an APC of 226.8% during 2011-2014 and 14.6% during 2014-2020. This increase was more pronounced among high school students (APC = 336.6% [2011-2014] and 15.7% [2014-2020]) than among middle school students (APC = 10.4% [2014-2020]) and among male students (APC = 252.8% [2011-2014] and 14.8% [2014-2020]) than among female students (APC = 13.6% [2014-2020]). During 2011-2020, we also found upward trends in dual use of e-cigarettes and cigarettes (APC = 17.3%). Poly use of e-cigarettes, cigarettes, and any other tobacco products increased significantly at an APC of 57.1% during 2011-2014. Conclusions: The emergence of new tobacco products such as e-cigarettes in the US market has shifted the landscape of tobacco use among adolescents in the last decade toward poly product use, in which e-cigarettes are a prominent component. Our findings underscore the increasing complexity of tobacco use among adolescents in the United States and the need for strong policies and regulations adapted to evolving trends in cigarette and noncigarette tobacco products. [ABSTRACT FROM AUTHOR]
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- 2023
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35. The Effects of Pictorial Health Warning Label on Waterpipe (Low- and High-Frequency) Smokers’ Experiences, Toxicant Exposures, and Puffing Behavior
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Gautam, Prem, primary, Kalan, Mohammad Ebrahimi, additional, Li, Wei, additional, Taleb, Ziyad Ben, additional, Vargas-Rivera, Mayra, additional, Jebai, Rime, additional, Osibogun, Olatokunbo, additional, and Maziak, Wasim, additional
- Published
- 2022
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36. sj-docx-2-phr-10.1177_00333549221103812 – Supplemental material for Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020
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Jebai, Rime, Osibogun, Olatokunbo, Li, Wei, Gautam, Prem, Bursac, Zoran, Ward, Kenneth D., and Maziak, Wasim
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111799 Public Health and Health Services not elsewhere classified ,FOS: Health sciences - Abstract
Supplemental material, sj-docx-2-phr-10.1177_00333549221103812 for Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020 by Rime Jebai, Olatokunbo Osibogun, Wei Li, Prem Gautam, Zoran Bursac, Kenneth D. Ward and Wasim Maziak in Public Health Reports
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- 2022
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37. sj-docx-3-phr-10.1177_00333549221103812 – Supplemental material for Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020
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Jebai, Rime, Osibogun, Olatokunbo, Li, Wei, Gautam, Prem, Bursac, Zoran, Ward, Kenneth D., and Maziak, Wasim
- Subjects
111799 Public Health and Health Services not elsewhere classified ,FOS: Health sciences - Abstract
Supplemental material, sj-docx-3-phr-10.1177_00333549221103812 for Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020 by Rime Jebai, Olatokunbo Osibogun, Wei Li, Prem Gautam, Zoran Bursac, Kenneth D. Ward and Wasim Maziak in Public Health Reports
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- 2022
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38. sj-pdf-1-phr-10.1177_00333549221103812 – Supplemental material for Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020
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Jebai, Rime, Osibogun, Olatokunbo, Li, Wei, Gautam, Prem, Bursac, Zoran, Ward, Kenneth D., and Maziak, Wasim
- Subjects
111799 Public Health and Health Services not elsewhere classified ,FOS: Health sciences - Abstract
Supplemental material, sj-pdf-1-phr-10.1177_00333549221103812 for Temporal Trends in Tobacco Product Use Among US Middle and High School Students: National Youth Tobacco Survey, 2011-2020 by Rime Jebai, Olatokunbo Osibogun, Wei Li, Prem Gautam, Zoran Bursac, Kenneth D. Ward and Wasim Maziak in Public Health Reports
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- 2022
- Full Text
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39. Prevalence and Predictors of Waterpipe Smoking Initiation and Progression Among Adolescents and Young Adults in Waves 1–4 (2013–2018) of the Population Assessment of Tobacco and Health (PATH) Study
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Gautam, Prem, primary, Sharma, Eva, additional, Kalan, Mohammad Ebrahimi, additional, Li, Wei, additional, Ward, Kenneth D, additional, Sutherland, Matthew T, additional, Cano, Miguel Angel, additional, Li, Tan, additional, and Maziak, Wasim, additional
- Published
- 2022
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40. Diversity of Ulotrichales from the Satpura Ranges of Nandurbar District, Maharashtra, India
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Valvi, Ashish B., primary and Gautam, Prem Kumar, additional
- Published
- 2022
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41. State-specific Prevalence and Factors Associated With Current Marijuana, ENDS, and Cigarette use Among US Adults With Asthma
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Ebrahimi Kalan, Mohammad, primary, Bursac, Zoran, additional, Jebai, Rime, additional, Zare, Samane, additional, Li, Wei, additional, Gautam, Prem, additional, Rahman, Abir, additional, Ward, Kenneth D, additional, and Ben Taleb, Ziyad, additional
- Published
- 2022
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42. Insect Pest Management of Vegetables in Pocket Areas of Modi Rural Municipality, Parbat
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Gautam, Prem Raj, primary and Sharma, Som, additional
- Published
- 2021
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43. Microcontroller-based Low-cost Seed Metering Module Retrofit on Cultivator.
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Gautam, Prem Veer, Kushwaha, H. L., Kumar, Adarsh, Khura, T. K., and Sarkar, S. K.
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MICROCONTROLLERS ,MECHATRONICS ,PROPERTIES of matter ,ELECTRONICS ,PURCHASING - Abstract
Planting is one of critical operations in agriculture. Ground wheel drives conventional metering mechanism, and results in improper placement of seeds because of skidding and vibration of the ground wheel. Electronically equipped seed metering system in the planter have potential to reduces losses associated with friction and wheel slippage. In this study, a retrofit type microcontroller based low-cost seed metering module was developed for commonly available cultivator. Basically, it can be called as mechatronics due to combination of both electronics and mechanical components. Seed metering plate'scell size was designed based on physical properties of black and green gram seeds. The microcontroller controlled motor's speed through Pulse Width Modulation (PWM) based on a signal obtained from a rotary encoder mounted on ground wheel. Under laboratory test, the developed module with a cell size of 5.5 mm found highest quality of feed index of 90 % for green gram and 86 % for black gram when operated at speed of 1.56 km/h. Average plant to plant distance was observed to be 6.73 cm, 6.55 cm for green and black gram during field evaluation. These observed spacing were close to desired spacing (6.28 cm) which intended in the precision metering mechanism. A unit's cost is approximately INR 2000. It facilitates sowing of pulse crop's seeds without investing extra cost on purchasing separate planter required for it. This retrofit type proposed module will make cultivator as a precision planter suitable for sowing different crops at a very low cost. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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44. Nighttime sleep duration, daytime napping, and metabolic syndrome: findings from the China Health and Retirement Longitudinal Study
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Li, Wei, primary, Kondracki, Anthony J., additional, Sun, Ning, additional, Gautam, Prem, additional, Kalan, Mohammad Ebrahimi, additional, Jebai, Rime, additional, Gbadamosi, Semiu O., additional, and Sun, Wenjie, additional
- Published
- 2021
- Full Text
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45. Estimation R=Pr(Y>X) for a Family of Lifetime Distributions by Transformation Method
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Kumar, Surinder, primary and Gautam, Prem Lata, additional
- Published
- 2021
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46. Trends and Factors Related to Blunt Use in Middle and High School Students, 2010–2020
- Author
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Ebrahimi Kalan, Mohammad, primary, Jebai, Rime, additional, Bursac, Zoran, additional, Popova, Lucy, additional, Gautam, Prem, additional, Li, Wei, additional, Alqahtani, Mohammed M., additional, Taskin, Tanjila, additional, Atwell, Leah L., additional, Richards, Jennifer, additional, Ward, Kenneth D., additional, Behaleh, Raed, additional, and Ben Taleb, Ziyad, additional
- Published
- 2021
- Full Text
- View/download PDF
47. Inference on Positive Exponential Family of Distributions (PEFD) through Transformation Method
- Author
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Kumar, Surinder, primary, Gautam, Prem Lata, additional, and Singh, Vaidehi, additional
- Published
- 2021
- Full Text
- View/download PDF
48. Nicotine-naïve adolescents who live with tobacco products users, 2018 Florida Youth Tobacco Survey
- Author
-
Ebrahimi Kalan, Mohammad, primary, Bursac, Zoran, additional, Behaleh, Raed, additional, Jebai, Rime, additional, Osibogun, Olatokunbo, additional, Gautam, Prem, additional, Li, Wei, additional, Anderson, Tera, additional, Rahman, Abir, additional, Ward, Kenneth D., additional, and Ben Taleb, Ziyad, additional
- Published
- 2020
- Full Text
- View/download PDF
49. The association between sleep duration, napping, and stroke stratified by self-health status among Chinese people over 65 years old from the China health and retirement longitudinal study
- Author
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Li, Wei, primary, Kondracki, Anthony, additional, Gautam, Prem, additional, Rahman, Abir, additional, Kiplagat, Sandra, additional, Liu, Houqin, additional, and Sun, Wenjie, additional
- Published
- 2020
- Full Text
- View/download PDF
50. Influence of Tobacco Marketing on Nepalese Adolescents: Cigarette Use and Susceptibility to Cigarette Use
- Author
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Gautam, Prem, primary, Bhatta, Dharma, additional, Sharma, Eva, additional, Rahman, Abir, additional, Dawit, Rahel, additional, Li, Wei, additional, Ebrahimi Kalan, Mohammad, additional, Acharya Gautam, Srijana, additional, Li, Tan, additional, and Maziak, Wasim, additional
- Published
- 2020
- Full Text
- View/download PDF
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