319 results on '"Afrin S."'
Search Results
2. A Novel Multimodal Anatomical Medical Image Fusion Using Structure Extraction
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Obulesu, G., Aparna, K., Afrin, S., Abhinav Kumar Reddy, G., Kavitha, A., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Kumar, Amit, editor, Senatore, Sabrina, editor, and Gunjan, Vinit Kumar, editor
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- 2023
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3. A comprehensive review on buccal drug delivery system
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Bhosale, Namita S., Gudur, Aniket S., Ramesan, Rishi, Rane, Dipasha D., Arolkar, Pranil D., Darwajkar, Afrin S., Mestry, Pratiksha P., and Jagtap, Vijay A.
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- 2023
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4. Breeding and Omics Approaches to Understand Abiotic Stress Response in Rice
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Syed, M. A., Ahmed, M. M. E., Debsharma, S. K., Jahan, N., Afrin, W., Biswas, A., Afrin, S., Akter, N., Akter, M. B., Roychoudhury, Aryadeep, editor, Aftab, Tariq, editor, and Acharya, Krishnendu, editor
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- 2022
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5. Toward a Secure 5G-Enabled Internet of Things: A Survey on Requirements, Privacy, Security, Challenges, and Opportunities
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Ahmed, SF, Alam, MSB, Afrin, S, Rafa, SJ, Taher, SB, Kabir, M, Muyeen, SM, Gandomi, AH, Ahmed, SF, Alam, MSB, Afrin, S, Rafa, SJ, Taher, SB, Kabir, M, Muyeen, SM, and Gandomi, AH
- Abstract
5G and the Internet of Things (IoT) are a potent combination that offers a vast IoT infrastructure that can support billions of connected devices while maintaining reliability, affordability, and high-speed connectivity. Nevertheless, the integration of 5G-enabled IoT has received insufficient attention from security analysts, engineers, and researchers, resulting in a lack of information and viable solutions. This study investigates the benefits and issues associated with 5G-enabled IoT, including its privacy and security concerns as well as the technology drivers that enable its various layers. By incorporating 5G technology into IoT, several enhancements have been achieved, including enhanced reliability, simplicity, practicability, analysis, efficiency, agility, flexibility, and accessibility. To achieve the full potential of 5G for IoT, however, researchers must also address many research obstacles, such as designing the 5G-IoT architecture, managing committed machine interactions, and addressing security concerns. A promising strategy for overcoming these obstacles involves ensuring compatibility of operating systems with all devices, which will lead to the development of modern open-source standardization for smooth communication across diverse devices. This innovation will improve the security and privacy of 5G-enabled IoT devices by equipping their hardware with the intelligence to recognize, verify, and authorize processes with predetermined characteristics. This will provide authorized users with full autonomy and persistent connectivity, enhancing the overall user experience. However, 5G requires a thorough examination of its implications and difficulties. A safer and more efficient ecosystem for 5G-enabled IoT may be established by addressing these concerns and encouraging industry-wide collaboration.
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- 2024
6. Difficulties that Lead to Conversion in Laparoscopic Cholecystectomy.
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KAMRUZZAMAN, M., RAHMAN, M. S., KHAN, A. K., and AFRIN, S.
- Abstract
Background: Cholelithiasis is one of the most common surgical problems throughout the world. Earlier, the prevailing treatment of symptomatic Cholelithiasis was an open cholecystectomy which is almost replaced by laparoscopic cholecystectomy. Although occasionaly switch to open cholecystectomy may require during the procedure which is known as conversion in laparoscopic cholecystectomy. Many factors contribute to the conversion which is not a sign of surgeon's failure rather is a sign of surgeon's good surgical judgment Our objectives are to find out the factors which are associated with conversion and thus reduce conversion rate, preoperative preparation and counseling the patient for conversion in laparoscopic cholecystectomy. Methods: This was a hospital based retrospective study, carried out in department of hepatobiliary & pancreatic surgery department, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka from January 2008 to December 2009. A total no of SO cases were included in our study which were converted to open cholecystectomy. Cases were collected from the hospital medical records which were retrieved and analyzed. Result: A total no of768 laparoscopic cholecystectomies were attempted during the study period. Out of which SO cases were converted to open cholecystectomy. Thus the conversion rate was 6.5%. Among these the reasons for conversion in both genders were dense adhesion in 22 (2.86%), aberrant anatomy in 10 (1.3%), empyema gall bladder in 4 (0.52%), per operative findings of choledocholithiasis in 3 (0.39%), suspicion of common bile duct injury in 3 (0.39%), others causes of conversion included uncontrolled bleeding 3 (0.39%), thick fibrosed gall bladder 2 (0.26%), accidental bowel injury 2 (0.26%), Type-I choledochal cyst 1 (0.13%) cases. Conclusion: various factors are related to conversion in laparoscopic cholecystectomy. But due to improvement of learning curve, good quality operative equipment, now a day's laparoscopic cholecystectomy is safe method of treatment for gall stone diseases with very low conversion rate. [ABSTRACT FROM AUTHOR]
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- 2024
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7. Thermal response and correlation between mobility and kink effect in GaN HEMTs
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Alim, Mohammad A., Afrin, S., Rezazadeh, A.A., and Gaquiere, C.
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- 2020
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8. DNA barcoding of mislabeled juvenile Tenualosa spp. as Gudusia chapra in the fish markets of Bangladesh.
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Afrin, S., Baki, M. A., Chowdhury, M., Sultana, N., Saha, S., Sarker, A., and Begum, M.
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SEAFOOD markets ,GENETIC barcoding ,IDENTIFICATION of fishes ,CONSUMPTION (Economics) ,CONSUMERS - Abstract
Mislabeling of Juvenile hilsa, (Tenualosa spp.) or Jatka fish as Chapila (Gudusia chapra) is a recognized problem in Bangladesh resulting in fraudulence to consumers, illegal harvesting, and ultimately the degradation of hilsa fish production. We applied DNA barcoding using mitochondrial COX 1 gene together with morphometric analysis to resolve the mislabeling or misidentification of Clupeid fishes differentiating mainly hilsa fish from chapila fish. This study confirmed the identification of Jatka fish (Tenualosa sp.) that was mislabeled with chapila (Gudusia chapra). DNA barcoding identified the four species of clupeid fishes (Tenualosa ilisha, Gudusia chapra, Sardinella jussieu and Tenualosa toli) with phylogenetic placement. These cases may reflect a clear picture of admixture of locally sold mislabeled Jatka, which may warrant more comprehensive analyses. Mislabeling records of Juvenile hilsa established in the present study may also have implications for the harvesting, marketing and consumption the national fish of Bangladesh. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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9. Surrounding landscape influences the abundance of insect predators in rice field
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Ali, M. P., Kabir, M. M. M., Haque, S. S., Afrin, S., Ahmed, N., Pittendrigh, Barry, and Qin, Xinghu
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- 2020
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10. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019
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Tran, K, Lang, J, Compton, K, Xu, R, Acheson, A, Henrikson, H, Kocarnik, J, Penberthy, L, Aali, A, Abbas, Q, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdoli, G, Abdulkadir, H, Abedi, A, Abegaz, K, Abidi, H, Aboagye, R, Abolhassani, H, Absalan, A, Abtew, Y, Abubaker Ali, H, Abu-Gharbieh, E, Achappa, B, Acuna, J, Addison, D, Addo, I, Adegboye, O, Adesina, M, Adnan, M, Adnani, Q, Advani, S, Afrin, S, Afzal, M, Aggarwal, M, Ahinkorah, B, Ahmad, A, Ahmad, R, Ahmad, S, Ahmadi, S, Ahmed, H, Ahmed, L, Ahmed, M, Ahmed Rashid, T, Aiman, W, Ajami, M, Akalu, G, Akbarzadeh-Khiavi, M, Aklilu, A, Akonde, M, Akunna, C, Al Hamad, H, Alahdab, F, Alanezi, F, Alanzi, T, Alessy, S, Algammal, A, Al-Hanawi, M, Alhassan, R, Ali, B, Ali, L, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, S, Alkhayyat, M, Al-Maweri, S, Almustanyir, S, Alonso, N, Alqalyoobi, S, Al-Raddadi, R, Al-Rifai, R, Al-Sabah, S, Al-Tammemi, A, Altawalah, H, Alvis-Guzman, N, Amare, F, Ameyaw, E, Aminian Dehkordi, J, Amirzade-Iranaq, M, Amu, H, Amusa, G, Ancuceanu, R, Anderson, J, Animut, Y, Anoushiravani, A, Anoushirvani, A, Ansari-Moghaddam, A, Ansha, M, Antony, B, Antwi, M, Anwar, S, Anwer, R, Anyasodor, A, Arabloo, J, Arab-Zozani, M, Aremu, O, Argaw, A, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Aruleba, R, Aryannejad, A, Asaad, M, Asemahagn, M, Asemi, Z, Asghari-Jafarabadi, M, Ashraf, T, Assadi, R, Athar, M, Athari, S, Atout, M, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, A, Awoke, M, Awoke, T, Ayala Quintanilla, B, Ayana, T, Ayen, S, Azadi, D, Azadnajafabad, S, Azami-Aghdash, S, Azanaw, M, Azangou-Khyavy, M, Azari Jafari, A, Azizi, H, Azzam, A, Babajani, A, Badar, M, Badiye, A, Baghcheghi, N, Bagheri, N, Bagherieh, S, Bahadory, S, Baig, A, Baker, J, Bakhtiari, A, Bakshi, R, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barra, F, Barrow, A, Bashir, N, Bashiri, A, Basu, S, Batiha, A, Begum, A, Bekele, A, Belay, A, Belete, M, Belgaumi, U, Bell, A, Belo, L, Benzian, H, Berhie, A, Bermudez, A, Bernabe, E, Bhagavathula, A, Bhala, N, Bhandari, B, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhojaraja, V, Bhuyan, S, Bibi, S, Bilchut, A, Bintoro, B, Biondi, A, Birega, M, Birhan, H, Bjorge, T, Blyuss, O, Bodicha, B, Bolla, S, Boloor, A, Bosetti, C, Braithwaite, D, Brauer, M, Brenner, H, Briko, A, Briko, N, Buchanan, C, Bulamu, N, Bustamante-Teixeira, M, Butt, M, Butt, N, Butt, Z, Caetano dos Santos, F, Camera, L, Cao, C, Cao, Y, Carreras, G, Carvalho, M, Cembranel, F, Cerin, E, Chakraborty, P, Charalampous, P, Chattu, V, Chimed-Ochir, O, Chirinos-Caceres, J, Cho, D, Cho, W, Christopher, D, Chu, D, Chukwu, I, Cohen, A, Conde, J, Cortes, S, Costa, V, Cruz-Martins, N, Culbreth, G, Dadras, O, Dagnaw, F, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Danielewicz, A, Dao, A, Darvishi Cheshmeh Soltani, R, Darwesh, A, Das, S, Davitoiu, D, Davtalab Esmaeili, E, De la Hoz, F, Debela, S, Dehghan, A, Demisse, B, Demisse, F, Denova-Gutierrez, E, Derakhshani, A, Derbew Molla, M, Dereje, D, Deribe, K, Desai, R, Desalegn, M, Dessalegn, F, Dessalegni, S, Dessie, G, Desta, A, Dewan, S, Dharmaratne, S, Dhimal, M, Dianatinasab, M, Diao, N, Diaz, D, Digesa, L, Dixit, S, Doaei, S, Doan, L, Doku, P, Dongarwar, D, dos Santos, W, Driscoll, T, Dsouza, H, Durojaiye, O, Edalati, S, Eghbalian, F, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, T, Ekwueme, D, El Tantawi, M, Elbahnasawy, M, Elbarazi, I, Elghazaly, H, Elhadi, M, El-Huneidi, W, Emamian, M, Engelbert Bain, L, Enyew, D, Erkhembayar, R, Eshetu, T, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Etaee, F, Etemadimanesh, A, Eyayu, T, Ezeonwumelu, I, Ezzikouri, S, Fagbamigbe, A, Fahimi, S, Fakhradiyev, I, Faraon, E, Fares, J, Farmany, A, Farooque, U, Farrokhpour, H, Fasanmi, A, Fatehizadeh, A, Fatima, W, Fattahi, H, Fekadu, G, Feleke, B, Ferrari, A, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Foroumadi, R, Foroutan, M, Fukumoto, T, Gaal, P, Gad, M, Gadanya, M, Gaipov, A, Galehdar, N, Gallus, S, Garg, T, Gaspar Fonseca, M, Gebremariam, Y, Gebremeskel, T, Gebremichael, M, Geda, Y, Gela, Y, Gemeda, B, Getachew, M, Ghaffari, K, Ghafourifard, M, Ghamari, S, Ghasemi Nour, M, Ghassemi, F, Ghimire, A, Ghith, N, Gholamalizadeh, M, Gholizadeh Navashenaq, J, Ghozy, S, Gilani, S, Gill, P, Ginindza, T, Gizaw, A, Glasbey, J, Godos, J, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Golitaleb, M, Gorini, G, Goulart, B, Grosso, G, Guadie, H, Gubari, M, Gudayu, T, Guerra, M, Gunawardane, D, Gupta, B, Gupta, S, Gupta, V, Gurara, M, Guta, A, Habibzadeh, P, Haddadi Avval, A, Hafezi-Nejad, N, Hajj Ali, A, Haj-Mirzaian, A, Halboub, E, Halimi, A, Halwani, R, Hamadeh, R, Hameed, S, Hamidi, S, Hanif, A, Hariri, S, Harlianto, N, Haro, J, Hartono, R, Hasaballah, A, Hasan, S, Hasani, H, Hashemi, S, Hassan, A, Hassanipour, S, Hayat, K, Heidari, G, Heidari, M, Heidarymeybodi, Z, Herrera-Serna, B, Herteliu, C, Hezam, K, Hiraike, Y, Hlongwa, M, Holla, R, Holm, M, Horita, N, Hoseini, M, Hossain, M, Hosseini, M, Hosseinzadeh, A, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Hugo, F, Humayun, A, Hussain, S, Hussein, N, Hwang, B, Ibitoye, S, Iftikhar, P, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Innos, K, Iranpour, P, Irham, L, Islam, M, Islam, R, Islami, F, Ismail, N, Isola, G, Iwagami, M, J, L, Jaiswal, A, Jakovljevic, M, Jalili, M, Jalilian, S, Jamshidi, E, Jang, S, Jani, C, Javaheri, T, Jayarajah, U, Jayaram, S, Jazayeri, S, Jebai, R, Jemal, B, Jeong, W, Jha, R, Jindal, H, John-Akinola, Y, Jonas, J, Joo, T, Joseph, N, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kacimi, S, Kadashetti, V, Kahe, F, Kakodkar, P, Kalankesh, L, Kalhor, R, Kamal, V, Kamangar, F, Kamath, A, Kanchan, T, Kandaswamy, E, Kandel, H, Kang, H, Kanno, G, Kapoor, N, Kar, S, Karanth, S, Karaye, I, Karch, A, Karimi, A, Kassa, B, Katoto, P, Kauppila, J, Kaur, H, Kebede, A, Keikavoosi-Arani, L, Kejela, G, Kemp Bohan, P, Keramati, M, Keykhaei, M, Khajuria, H, Khan, A, Khan, E, Khan, G, Khan, M, Khanali, J, Khatab, K, Khatatbeh, M, Khatib, M, Khayamzadeh, M, Khayat Kashani, H, Khazeei Tabari, M, Khezeli, M, Khodadost, M, Kim, M, Kim, Y, Kisa, A, Kisa, S, Klugar, M, Klugarova, J, Kolahi, A, Kolkhir, P, Kompani, F, Koul, P, Koulmane Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kucuk Bicer, B, Kugbey, N, Kulimbet, M, Kumar, A, Kumar, G, Kumar, N, Kurmi, O, Kuttikkattu, A, La Vecchia, C, Lahiri, A, Lal, D, Lam, J, Lan, Q, Landires, I, Larijani, B, Lasrado, S, Lau, J, Lauriola, P, Ledda, C, Lee, S, Lee, W, Lee, Y, Legesse, S, Leigh, J, Leong, E, Li, M, Lim, S, Liu, G, Liu, J, Lo, C, Lohiya, A, Lopukhov, P, Lorenzovici, L, Lotfi, M, Loureiro, J, Lunevicius, R, Madadizadeh, F, Mafi, A, Magdeldin, S, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, M, Mahmoudimanesh, M, Mahumud, R, Majeed, A, Majidpoor, J, Makki, A, Makris, K, Malakan Rad, E, Malekpour, M, Malekzadeh, R, Malik, A, Mallhi, T, Mallya, S, Mamun, M, Manda, A, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantovani, L, Martini, S, Martorell, M, Masoudi, S, Masoumi, S, Matei, C, Mathews, E, Mathur, M, Mathur, V, Mckee, M, Meena, J, Mehmood, K, Mehrabi Nasab, E, Mehrotra, R, Melese, A, Mendoza, W, Menezes, R, Mengesha, S, Mensah, L, Mentis, A, Mera-Mamian, A, Meretoja, T, Merid, M, Mersha, A, Meselu, B, Meshkat, M, Mestrovic, T, Miao Jonasson, J, Miazgowski, T, Michalek, I, Mijena, G, Miller, T, Mir, S, Mirinezhad, S, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Misganaw, A, Misra, S, Mohammad, K, Mohammadi, E, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Molassiotis, A, Molokhia, M, Momenzadeh, K, Momtazmanesh, S, Monasta, L, Mons, U, Montasir, A, Montazeri, F, Montero, A, Moosavi, M, Moradi, A, Moradi, Y, Moradi Sarabi, M, Moraga, P, Morawska, L, Morrison, S, Morze, J, Mosapour, A, Mostafavi, E, Mousavi, S, Mousavi Isfahani, H, Mousavi Khaneghah, A, Mpundu-Kaambwa, C, Mubarik, S, Mulita, F, Munblit, D, Munro, S, Murillo-Zamora, E, Musa, J, Nabhan, A, Nagarajan, A, Nagaraju, S, Nagel, G, Naghipour, M, Naimzada, M, Nair, T, Naqvi, A, Narasimha Swamy, S, Narayana, A, Nassereldine, H, Natto, Z, Nayak, B, Ndejjo, R, Nduaguba, S, Negash, W, Nejadghaderi, S, Nejati, K, Neupane Kandel, S, Nguyen, H, Niazi, R, Noor, N, Noori, M, Noroozi, N, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Odukoya, O, Oghenetega, O, Ogunsakin, R, Oguntade, A, Oh, I, Okati-Aliabad, H, Okekunle, A, Olagunju, A, Olagunju, T, Olakunde, B, Olufadewa, I, Omer, E, Omonisi, A, Ong, S, Onwujekwe, O, Orru, H, Otstavnov, S, Oulhaj, A, Oumer, B, Owopetu, O, Oyinloye, B, P A, M, Padron-Monedero, A, Padubidri, J, Pakbin, B, Pakshir, K, Pakzad, R, Palicz, T, Pana, A, Pandey, A, Pant, S, Pardhan, S, Park, E, Park, S, Patel, J, Pati, S, Paudel, R, Paudel, U, Paun, M, Pazoki Toroudi, H, Peng, M, Pereira, J, Pereira, R, Perna, S, Perumalsamy, N, Pestell, R, Pezzani, R, Piccinelli, C, Pillay, J, Piracha, Z, Pischon, T, Postma, M, Pourabhari Langroudi, A, Pourshams, A, Pourtaheri, N, Prashant, A, Qadir, M, Quazi Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, R, Radhakrishnan, V, Raeisi, M, Rafiee, A, Rafiei, A, Raheem, N, Rahim, F, Rahman, M, Rahmani, A, Rahmani, S, Rahmanian, V, Rajai, N, Rajesh, A, Ram, P, Ramezanzadeh, K, Rana, J, Ranabhat, K, Ranasinghe, P, Rao, C, Rao, S, Rashedi, S, Rashidi, A, Rashidi, M, Ratan, Z, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, M, Rehman, A, Rehman, I, Reitsma, M, Renzaho, A, Rezaei, M, Rezaei, N, Rezaei, S, Rezaeian, M, Rezapour, A, Riad, A, Rikhtegar, R, Rios-Blancas, M, Roberts, T, Rohloff, P, Romero-Rodriguez, E, Roshandel, G, Rwegerera, G, S, M, Saber-Ayad, M, Saberzadeh-Ardestani, B, Sabour, S, Saddik, B, Sadeghi, E, Saeb, M, Saeed, U, Safaei, M, Safary, A, Sahebazzamani, M, Sahebkar, A, Sahoo, H, Sajid, M, Salari, H, Salehi, S, Salem, M, Salimzadeh, H, Samodra, Y, Samy, A, Sanabria, J, Sankararaman, S, Sanmarchi, F, Santric-Milicevic, M, Saqib, M, Sarveazad, A, Sarvi, F, Sathian, B, Satpathy, M, Sayegh, N, Schneider, I, Schwarzinger, M, Sekerija, M, Senthilkumaran, S, Sepanlou, S, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shah, P, Shahabi, S, Shahid, I, Shahrbaf, M, Shahsavari, H, Shaikh, M, Shaka, M, Shaker, E, Shannawaz, M, Sharew, M, Sharifi, A, Sharifi-Rad, J, Sharma, P, Shashamo, B, Sheikh, A, Sheikh, M, Sheikhbahaei, S, Sheikhi, R, Sheikhy, A, Shepherd, P, Shetty, A, Shetty, J, Shetty, R, Shibuya, K, Shirkoohi, R, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shivarov, V, Shobeiri, P, Shokri Varniab, Z, Shorofi, S, Shrestha, S, Sibhat, M, Siddappa Malleshappa, S, Sidemo, N, Silva, D, Silva, L, Silva Julian, G, Silvestris, N, Simegn, W, Singh, A, Singh, G, Singh, H, Singh, J, Singh, P, Singh, S, Sinha, D, Sinke, A, Siraj, M, Sitas, F, Siwal, S, Skryabin, V, Skryabina, A, Socea, B, Soeberg, M, Sofi-Mahmudi, A, Solomon, Y, Soltani-Zangbar, M, Song, S, Song, Y, Sorensen, R, Soshnikov, S, Sotoudeh, H, Sowe, A, Sufiyan, M, Suk, R, Suleman, M, Suliankatchi Abdulkader, R, Sultana, S, Sur, D, Szocska, M, Tabaeian, S, Tabares-Seisdedos, R, Tabatabaei, S, Tabuchi, T, Tadbiri, H, Taheri, E, Taheri, M, Taheri Soodejani, M, Takahashi, K, Talaat, I, Tampa, M, Tan, K, Tat, N, Tat, V, Tavakoli, A, Tehrani-Banihashemi, A, Tekalegn, Y, Tesfay, F, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Ticoalu, J, Tiyuri, A, Tollosa, D, Topor-Madry, R, Touvier, M, Tovani-Palone, M, Traini, E, Tran, M, Tripathy, J, Ukke, G, Ullah, I, Ullah, S, Unnikrishnan, B, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Valdez, P, Vardavas, C, Varthya, S, Vaziri, S, Velazquez, D, Veroux, M, Villeneuve, P, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Vu, L, Wadood, A, Waheed, Y, Walde, M, Wamai, R, Wang, C, Wang, F, Wang, N, Wang, Y, Ward, P, Waris, A, Westerman, R, 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Alvis-Guzman, N, Amare, F, Ameyaw, E, Aminian Dehkordi, J, Amirzade-Iranaq, M, Amu, H, Amusa, G, Ancuceanu, R, Anderson, J, Animut, Y, Anoushiravani, A, Anoushirvani, A, Ansari-Moghaddam, A, Ansha, M, Antony, B, Antwi, M, Anwar, S, Anwer, R, Anyasodor, A, Arabloo, J, Arab-Zozani, M, Aremu, O, Argaw, A, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Aruleba, R, Aryannejad, A, Asaad, M, Asemahagn, M, Asemi, Z, Asghari-Jafarabadi, M, Ashraf, T, Assadi, R, Athar, M, Athari, S, Atout, M, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, A, Awoke, M, Awoke, T, Ayala Quintanilla, B, Ayana, T, Ayen, S, Azadi, D, Azadnajafabad, S, Azami-Aghdash, S, Azanaw, M, Azangou-Khyavy, M, Azari Jafari, A, Azizi, H, Azzam, A, Babajani, A, Badar, M, Badiye, A, Baghcheghi, N, Bagheri, N, Bagherieh, S, Bahadory, S, Baig, A, Baker, J, Bakhtiari, A, Bakshi, R, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barra, F, Barrow, A, Bashir, N, Bashiri, A, Basu, S, Batiha, A, Begum, A, 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F, Debela, S, Dehghan, A, Demisse, B, Demisse, F, Denova-Gutierrez, E, Derakhshani, A, Derbew Molla, M, Dereje, D, Deribe, K, Desai, R, Desalegn, M, Dessalegn, F, Dessalegni, S, Dessie, G, Desta, A, Dewan, S, Dharmaratne, S, Dhimal, M, Dianatinasab, M, Diao, N, Diaz, D, Digesa, L, Dixit, S, Doaei, S, Doan, L, Doku, P, Dongarwar, D, dos Santos, W, Driscoll, T, Dsouza, H, Durojaiye, O, Edalati, S, Eghbalian, F, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, T, Ekwueme, D, El Tantawi, M, Elbahnasawy, M, Elbarazi, I, Elghazaly, H, Elhadi, M, El-Huneidi, W, Emamian, M, Engelbert Bain, L, Enyew, D, Erkhembayar, R, Eshetu, T, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Etaee, F, Etemadimanesh, A, Eyayu, T, Ezeonwumelu, I, Ezzikouri, S, Fagbamigbe, A, Fahimi, S, Fakhradiyev, I, Faraon, E, Fares, J, Farmany, A, Farooque, U, Farrokhpour, H, Fasanmi, A, Fatehizadeh, A, Fatima, W, Fattahi, H, Fekadu, G, Feleke, B, Ferrari, A, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, 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D., Baghcheghi N., Bagheri N., Bagherieh S., Bahadory S., Baig A. A., Baker J. L., Bakhtiari A., Bakshi R. K., Banach M., Banerjee I., Bardhan M., Barone-Adesi F., Barra F., Barrow A., Bashir N. Z., Bashiri A., Basu S., Batiha A. -M. M., Begum A., Bekele A. B., Belay A. S., Belete M. A., Belgaumi U. I., Bell A. W., Belo L., Benzian H., Berhie A. Y., Bermudez A. N. C., Bernabe E., Bhagavathula A. S., Bhala N., Bhandari B. B., Bhardwaj N., Bhardwaj P., Bhattacharyya K., Bhojaraja V. S., Bhuyan S. S., Bibi S., Bilchut A. H., Bintoro B. S., Biondi A., Birega M. G. B., Birhan H. E., Bjorge T., Blyuss O., Bodicha B. B. A., Bolla S. R., Boloor A., Bosetti C., Braithwaite D., Brauer M., Brenner H., Briko A. N., Briko N. I., Buchanan C. M., Bulamu N. B., Bustamante-Teixeira M. T., Butt M. H., Butt N. S., Butt Z. A., Caetano dos Santos F. L., Camera L. A., Cao C., Cao Y., Carreras G., Carvalho M., Cembranel F., Cerin E., Chakraborty P. A., Charalampous P., Chattu V. 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A., Khanali J., Khatab K., Khatatbeh M. M., Khatib M. N., Khayamzadeh M., Khayat Kashani H. R., Khazeei Tabari M. A., Khezeli M., Khodadost M., Kim M. S., Kim Y. J., Kisa A., Kisa S., Klugar M., Klugarova J., Kolahi A. -A., Kolkhir P., Kompani F., Koul P. A., Koulmane Laxminarayana S. L., Koyanagi A., Krishan K., Krishnamoorthy Y., Kucuk Bicer B., Kugbey N., Kulimbet M., Kumar A., Kumar G. A., Kumar N., Kurmi O. P., Kuttikkattu A., La Vecchia C., Lahiri A., Lal D. K., Lam J., Lan Q., Landires I., Larijani B., Lasrado S., Lau J., Lauriola P., Ledda C., Lee S. -W., Lee S. W. H., Lee W. -C., Lee Y. Y., Lee Y. H., Legesse S. M., Leigh J., Leong E., Li M. -C., Lim S. S., Liu G., Liu J., Lo C. -H., Lohiya A., Lopukhov P. D., Lorenzovici L., Lotfi M., Loureiro J. A., Lunevicius R., Madadizadeh F., Mafi A. R., Magdeldin S., Mahjoub S., Mahmoodpoor A., Mahmoudi M., Mahmoudimanesh M., Mahumud R. A., Majeed A., Majidpoor J., Makki A., Makris K. 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Z., Yousefi Z., Yousefian F., Yu C., Yu Y., Yunusa I., Zahir M., Zaki N., Zaman B. A., Zangiabadian M., Zare F., Zare I., Zareshahrabadi Z., Zarrintan A., Zastrozhin M. S., Zeineddine M. A., Zhang D., Zhang J., Zhang Y., Zhang Z. -J., Zhou L., Zodpey S., Zoladl M., Vos T., Hay S. I., Force L. M., and Murray C. J. L.
- Abstract
Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [2
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- 2022
11. Assessment of Knowledge and Attitude about Sexually Transmitted Infections among Medical Students of Dhaka City, Bangladesh
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Mahboob, N, Iqbal, H, Afrin, S, Abedin, F. Z, and Ahmed, M
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General Medicine - Abstract
Background: Sexually transmitted infections (STIs) are major public health problem in both developing and developed countries. Medical students should have adequate knowledge about STI as they will be dealing with patients in future. The objective of this study was to evaluate the knowledge and attitude about STIs among medical students. Materials and Methods: This descriptive cross-sectional study was conducted among the 184 medical third year students of private medical colleges of Dhaka. Data were collected using a structured questionnaire on sociodemographic information, knowledge of STIs and attitude towards it. The response format was based on a 3-point Likert scale. Frequency distribution was calculated for statistical analysis. Results: One hundred and eighty-four students participated in this study of which 76 (41%) were males and 108 (59%) were females. All of the respondents had ever heard about STIs. Internet was the most frequently source of information for STIs. Most of the students had fair knowledge about the sign and symptoms, transmission, complication and prevention methods of STIs but there were also students who didn’t knew and had misconceptions. Attitude of the students towards STIs was variable. Conclusion: This study indicates the gaps in the knowledge of medical students about STIs. Further research should be performed to investigate the reason behind this gap. Moreover, additional emphasis on the knowledge of STIs and prevention should be implemented into the curriculums.
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- 2022
12. Establishing next-generation pest control services in rice fields: eco-agriculture
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Ali, M. P., Bari, M. N., Haque, S. S., Kabir, M. M. M., Afrin, S., Nowrin, F., Islam, M. S., and Landis, D. A.
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- 2019
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13. Knowledge, attitudes and practices among medical students of Bangladesh regarding cervical cancer and the human papilloma virus vaccine
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Iqbal H, Mahboob N, Afrin S, Abedin FZ, and Ahmed M
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- 2022
14. Study on in vitro micropropagation of Rosa sp.
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Afrin, S, primary, Rahman, MA, additional, Khalekuzzaman, M, additional, Hasan, MM, additional, Fahim, AHF, additional, and Alam, MA, additional
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- 2022
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15. Footstep Power Generation using Piezo Electric Sensors
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Ahalya, C., primary, Vasavi, M., additional, Prathyusha, M., additional, Afrin, S. Sania, additional, and Sravani, S., additional
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- 2022
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16. Assessment of Noise Exposure Indices at Kanchijhuli and Townhall Moor in Mymensingh City
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Afrin, S, primary, Farukh, MA, additional, Uddin, MN, additional, and Rahman, M, additional
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- 2022
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17. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019
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Bhuyan, SS, Bibi, S, Bilchut, AH, Bintoro, BS, Biondi, A, Birega, MGB, Birhan, HE, Bjorge, T, Blyuss, O, Bodicha, BBA, Bolla, SR, Boloor, A, Bosetti, C, Braithwaite, D, Brauer, M, Brenner, H, Briko, AN, Briko, NI, Buchanan, CM, Bulamu, NB, Bustamante-Teixeira, MT, Butt, MH, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Camera, LA, Cao, C, Cao, Y, Carreras, G, Carvalho, M, Cembranel, F, Cerin, E, Chakraborty, PA, Charalampous, P, Chattu, VK, Chimed-Ochir, O, Chirinos-Caceres, JL, Cho, DY, Cho, WCS, Christopher, DJ, Chu, D-T, Chukwu, IS, Cohen, AJ, Conde, J, Cortas, S, Costa, VM, Cruz-Martins, N, Culbreth, GT, Dadras, O, Dagnaw, FT, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Danielewicz, A, An, TMD, Soltani, RDC, Darwesh, AM, Das, S, Davitoiu, DV, Esmaeili, ED, De la Hoz, FP, Debela, SA, Dehghan, A, Demisse, B, Demisse, FW, DenovaGutiA, E, Derakhshani, A, Molla, MD, Dereje, D, Deribe, KS, Desai, R, Desalegn, MD, Dessalegn, FN, Dessalegni, SAA, Dessie, G, Desta, AA, Dewan, SMR, Dharmaratne, SD, Dhimal, M, Dianatinasab, M, Diao, N, Diaz, D, Digesa, LE, Dixit, SG, Doaei, S, Linh, PD, Doku, PN, Dongarwar, D, dos Santos, WM, Driscoll, TR, Dsouza, HL, Durojaiye, OC, Edalati, S, Eghbalian, F, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, TC, Ekwueme, DU, El Tantawi, M, Elbahnasawy, MA, Elbarazi, I, Elghazaly, H, Elhadi, M, El-Huneidi, W, Emamian, MH, Bain, LE, Enyew, DB, Erkhembayar, R, Eshetu, T, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Etaee, F, Etemadimanesh, A, Eyayu, T, Ezeonwumelu, IJ, Ezzikouri, S, Fagbamigbe, AF, Fahimi, S, Fakhradiyev, IR, Faraon, EJA, Fares, J, Farmany, A, Farooque, U, Farrokhpour, H, Fasanmi, AO, Fatehizadeh, A, Fatima, W, Fattahi, H, Fekadu, G, Feleke, BE, Ferrari, AA, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Foroumadi, R, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gaipov, A, Galehdar, N, Gallus, S, Garg, T, Fonseca, MG, Gebremariam, YH, Gebremeskel, TG, Gebremichael, MA, Geda, YF, Gela, YY, Gemeda, BNB, Getachew, M, Getachew, ME, Ghaffari, K, Ghafourifard, M, Ghamari, S-H, Nour, MG, Ghassemi, F, Ghimire, A, Ghith, N, Gholamalizadeh, M, Navashenaq, JG, Ghozy, S, Gilani, SA, Gill, PS, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Godos, J, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Golitaleb, M, Gorini, G, Goulart, BNG, Grosso, G, Guadie, HA, Gubari, MIM, Gudayu, TW, Guerra, MR, Gunawardane, DA, Gupta, B, Gupta, S, Gupta, V, Gupta, VK, Gurara, MK, Guta, A, Habibzadeh, P, Avval, AH, Hafezi-Nejad, N, Ali, AH, Haj-Mirzaian, A, Halboub, ES, Halimi, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Hariri, S, Harlianto, N, Haro, JM, Hartono, RK, Hasaballah, A, Hasan, SMM, Hasani, H, Hashemi, SM, Hassan, AM, Hassanipour, S, Hayat, K, Heidari, G, Heidari, M, Heidarymeybodi, Z, Herrera-Serna, BY, Herteliu, C, Hezam, K, Hiraike, Y, Hlongwa, MM, Holla, R, Holm, M, Horita, N, Hoseini, M, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseinzadeh, A, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Hugo, FN, Humayun, A, Hussain, S, Hussein, NR, Hwang, B-F, Ibitoye, SE, Iftikhar, PM, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Immurana, M, Innos, K, Iranpour, P, Irham, LM, Islam, MS, Islam, RM, Islami, F, Ismail, NE, Isola, G, Iwagami, M, Merin, LJ, Jaiswal, A, Jakovljevic, M, Jalili, M, Jalilian, S, Jamshidi, E, Jang, S-I, Jani, CT, Javaheri, T, Jayarajah, UU, Jayaram, S, Jazayeri, SB, Jebai, R, Jemal, B, Jeong, W, Jha, RP, Jindal, HA, John-Akinola, YO, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jarisson, M, Kabir, A, Kacimi, SEO, Kadashetti, V, Kahe, F, Kakodkar, PV, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamangar, F, Kamath, A, Kanchan, T, Kandaswamy, E, Kandel, H, Kang, H, Kanno, GG, Kapoor, N, Kar, SS, Karanth, SD, Karaye, IM, Karch, A, Karimi, A, Kassa, BG, Katoto, PDMC, Kauppila, JH, Kaur, H, Kebede, AG, Keikavoosi-Arani, L, Kejela, GG, Bohan, PMK, Keramati, M, Keykhaei, M, Khajuria, H, Khan, A, Khan, AAK, Khan, EA, Khan, G, Khan, MN, Ab Khan, M, Khanali, J, Khatab, K, Khatatbeh, MM, Khatib, MN, Khayamzadeh, M, Kashani, HRK, Tabari, MAK, Khezeli, M, Khodadost, M, Kim, MS, Kim, YJ, Kisa, A, Kisa, S, Klugar, M, Klugarova, J, Kolahi, A-A, Kolkhir, P, Kompani, F, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Bicer, BK, Kugbey, N, Kulimbet, M, Kumar, A, Kumar, GA, Kumar, N, Kurmi, OP, Kuttikkattu, A, La Vecchia, C, Lahiri, A, Lal, DK, Lam, J, Lan, Q, Landires, I, Larijani, B, Lasrado, S, Lau, J, Lauriola, P, Ledda, C, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YY, Lee, YH, Legesse, SM, Leigh, J, Leong, E, Li, M-C, Lim, SS, Liu, G, Liu, J, Lo, C-H, Lohiya, A, Lopukhov, PD, Lorenzovici, L, Lotfi, M, Loureiro, JA, Lunevicius, R, Madadizadeh, F, Mafi, AR, Magdeldin, S, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, M, Mahmoudimanesh, M, Mahumud, RA, Majeed, A, Majidpoor, J, Makki, A, Makris, KC, Rad, EM, Malekpour, M-R, Malekzadeh, R, Malik, AA, Mallhi, TH, Mallya, SD, Mamun, MA, Manda, AL, Mansour-Ghanaei, F, Mansouri, B, Mansournia, MA, Mantovani, LG, Martini, S, Martorell, M, Masoudi, S, Masoumi, SZ, Matei, CN, Mathews, E, Mathur, MR, Mathur, V, McKee, M, Meena, JK, Mehmood, K, Nasab, EM, Mehrotra, R, Melese, A, Mendoza, W, Menezes, RG, Mengesha, SD, Mensah, LG, Mentis, A-FA, Mera-Mamian, AYM, Meretoja, TJ, Merid, MW, Mersha, AG, Meselu, BT, Meshkat, M, Mestrovic, T, Jonasson, JM, Miazgowski, T, Michalek, IM, Mijena, GFW, Miller, TR, Mir, SA, Mirinezhad, SK, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Mirzaei, HR, Misganaw, AS, Misra, S, AbdulmuhsinMohammad, K, Mohammadi, E, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, AH, Molassiotis, A, Molokhia, M, Momenzadeh, K, Momtazmanesh, S, Monasta, L, Mons, U, Al Montasir, A, Montazeri, F, Montero, A, Moosavi, MA, Moradi, A, Moradi, Y, Sarabi, MM, Moraga, P, Morawska, L, Morrison, SD, Morze, J, Mosapour, A, Mostafavi, E, Mousavi, SM, Isfahani, HM, Khaneghah, AM, Mpundu-Kaambwa, C, Mubarik, S, Mulita, F, Munblit, D, Munro, SB, Murillo-Zamora, E, Musa, J, Nabhan, AF, Nagarajan, AJ, Nagaraju, SP, Nagel, G, Naghipour, M, Naimzada, MD, Nair, TS, Naqvi, AA, Swamy, SN, Narayana, AI, Nassereldine, H, Natto, ZS, Nayak, BP, Ndejjo, R, Nduaguba, SO, Negash, WW, Nejadghaderi, SA, Nejati, K, Kandel, SN, Huy, VNN, Niazi, RK, Noor, NM, Noori, M, Noroozi, N, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, CI, Nzoputam, OJ, Oancea, B, Odukoya, OO, Oghenetega, OB, Ogunsakin, RE, Oguntade, AS, Oh, I-H, Okati-Aliabad, H, Okekunle, AP, Olagunju, AT, Olagunju, TO, Olakunde, BO, Olufadewa, II, Omer, E, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Otstavnov, SS, Oulhaj, A, Oumer, B, Owopetu, OF, Oyinloye, BE, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Pakbin, B, Pakshir, K, Pakzad, R, Palicz, T, Pana, A, Pandey, A, Pant, S, Pardhan, S, Park, E-K, Park, S, Patel, J, Pati, S, Paudel, R, Paudel, U, Paun, M, Toroudi, HP, Peng, M, Pereira, J, Pereira, RB, Perna, S, Perumalsamy, N, Pestell, RG, Pezzani, R, Piccinelli, C, Pillay, JD, Piracha, ZZ, Pischon, T, Postma, MJ, Langroudi, AP, Pourshams, A, Pourtaheri, N, Prashant, A, Qadir, MMF, Syed, ZQ, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Raeisi, M, Rafiee, A, Rafiei, A, Raheem, N, Rahim, F, Rahman, MO, Rahman, M, Rahman, MA, Rahmani, AM, Rahmani, S, Rahmanian, V, Rajai, N, Rajesh, A, Ram, P, Ramezanzadeh, K, Rana, J, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rashedi, S, Rashidi, A, Rashidi, M-M, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, MS, Rehman, AU, Rehman, IU, Reitsma, MB, Renzaho, AMN, Rezaei, M, Rezaei, N, Rezaei, S, Rezaeian, M, Rezapour, A, Riad, A, Rikhtegar, R, Rios-Blancas, M, Roberts, TJ, Rohloff, P, Romero-Rodriguez, E, Roshandel, G, Rwegerera, GM, Manjula, S, Saber-Ayad, MM, Saberzadeh-Ardestani, B, Sabour, S, Saddik, B, Sadeghi, E, Saeb, MR, Saeed, U, Safaei, M, Safary, A, Sahebazzamani, M, Sahebkar, A, Sahoo, H, Sajid, MR, Salari, H, Salehi, S, Salem, MR, Salimzadeh, H, Samodra, YL, Samy, AM, Sanabria, J, Sankararaman, S, Sanmarchi, F, Santric-Milicevic, MM, Saqib, MAN, Sarveazad, A, Sarvi, F, Sathian, B, Satpathy, M, Sayegh, N, Schneider, IJC, Schwarzinger, M, Sekerija, M, Senthilkumaran, S, Sepanlou, SG, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shah, PA, Shahabi, S, Shahid, I, Shahrbaf, MA, Shahsavari, HR, Shaikh, MA, Shaka, MF, Shaker, E, Shannawaz, M, Sharew, MMS, Sharifi, A, Sharifi-Rad, J, Sharma, P, Shashamo, BB, Sheikh, A, Sheikh, M, Sheikhbahaei, S, Sheikhi, RA, Sheikhy, A, Shepherd, PR, Shetty, A, Shetty, JK, Shetty, RS, Shibuya, K, Shirkoohi, R, Shirzad-Aski, H, Shivakumar, KM, Shivalli, S, Shivarov, V, Shobeiri, P, Varniab, ZS, Shorofi, SA, Shrestha, S, Sibhat, MM, Malleshappa, SS, Sidemo, NB, Silva, DAS, Silva, LMLR, Julian, GS, Silvestris, N, Simegn, W, Singh, AD, Singh, A, Singh, G, Singh, H, Singh, JA, Singh, JK, Singh, P, Singh, S, Sinha, DN, Sinke, AH, Siraj, MS, Sitas, F, Siwal, SS, Skryabin, VY, Skryabina, AA, Socea, B, Soeberg, MJ, Sofi-Mahmudi, A, Solomon, Y, Soltani-Zangbar, MS, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Sotoudeh, H, Sowe, A, Sufiyan, MB, Suk, R, Suleman, M, Abdulkader, RS, Sultana, S, Sur, D, Szacska, M, Tabaeian, SP, Tabares-Seisdedos, R, Tabatabaei, SM, Tabuchi, T, Tadbiri, H, Taheri, E, Taheri, M, Soodejani, MT, Takahashi, K, Talaat, IM, Tampa, M, Tan, K-K, Tat, NY, Tat, VY, Tavakoli, A, Tehrani-Banihashemi, A, Tekalegn, Y, Tesfay, FH, Thapar, R, Thavamani, A, Chandrasekar, VT, Thomas, N, Thomas, NK, Ticoalu, JHV, Tiyuri, A, Tollosa, DN, Topor-Madry, R, Touvier, M, Tovani-Palone, MR, Traini, E, Mai, TNT, Tripathy, JP, Ukke, GG, Ullah, I, Ullah, S, Unnikrishnan, B, Vacante, M, Vaezi, M, Tahbaz, SV, Valdez, PR, Vardavas, C, Varthya, SB, Vaziri, S, Velazquez, DZ, Veroux, M, Villeneuve, PJ, Violante, FS, Vladimirov, SK, Vlassov, V, Vo, B, Vu, LG, Wadood, AW, Waheed, Y, Walde, MT, Wamai, RG, Wang, C, Wang, F, Wang, N, Wang, Y, Ward, P, Waris, A, Westerman, R, Wickramasinghe, ND, Woldemariam, M, Woldu, B, Xiao, H, Xu, S, Xu, X, Yadav, L, Jabbari, SHY, Yang, L, Yazdanpanah, F, Yeshaw, Y, Yismaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yousefian, F, Yu, C, Yu, Y, Yunusa, I, Zahir, M, Zaki, N, Zaman, BA, Zangiabadian, M, Zare, F, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, MS, Zeineddine, MA, Zhang, D, Zhang, J, Zhang, Y, Zhang, Z-J, Zhou, L, Zodpey, S, Zoladl, M, Vos, T, Hay, S, Force, LM, and Murray, CJL
- Abstract
BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [2
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- 2022
18. Mental health status of adolescents in-home quarantine : a multi-region, cross-sectional study during COVID-19 pandemic in Bangladesh
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Afrin, S., Nasrullah, S. M., Dalal, Koustuv, Tasnim, Zarrin, Benzadid, M. S., Humayra, F., Saif-Ur-Rahman, K. M., Hawlader, M. D. H., Afrin, S., Nasrullah, S. M., Dalal, Koustuv, Tasnim, Zarrin, Benzadid, M. S., Humayra, F., Saif-Ur-Rahman, K. M., and Hawlader, M. D. H.
- Abstract
Background: The population's mental and physical health worldwide are currently at risk due to the coronavirus pandemic. We evaluated the mental health status of the adolescents trapped indoors because of the precautionary restrictions and prolonged closure of the educational institutions. Method: A cross-sectional study was conducted on adolescents from multiple urban and semi-urban areas of Bangladesh from 22 January to 3 February 2021. A self-reported online questionnaire containing questions regarding sociodemographic factors, home quarantine-related factors and mental health symptoms was distributed to collect data. Descriptive analysis, bivariate and multivariable logistic regressions were performed to measure the association of the variables. Cronbach's alpha was estimated to present the internal consistency of the scales. Results: A total of 322 adolescents (aged 12–19) with a mean age of 16.00 years (SD = 1.84) responded to the invitation. 54.97% (n = 177) of them were male, and the participants were predominantly urban residents (87.27%, n = 281). We observed varying degrees of depression in 67.08%, anxiety in 49.38% and stress in 40.68% of the participants according to DASS-21. Age, sex, education, mother's occupation, total monthly income, playing sports, doing household chores, going out of home, watching television, using the internet, attending online classes, changing food habits, and communicating with friends had a positive significant association with mental health burdens. Conclusion: Home quarantine has a noticeable adverse impact on the mental health of teenagers. Psychological evaluations and counselling via online and offline programs are essential to improve adolescents' declining mental health conditions.
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- 2022
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19. Effect of the temperature and osmotic stress on the growth and cell viability of Candida maltosa.
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Bhuiyan, M. N. I., Raiyaan, K. R., Afrin, S., and Nahid, M.
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HEAT shock proteins ,SUCROSE ,MALTOSE ,TEMPERATURE effect ,CELL survival ,CELL growth ,CANDIDA ,HEAT shock factors - Published
- 2023
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20. IMPROVING SEEDLING GROWTH AND YIELD OF TRANSPLANT BORO RICE THROUGH NURSERY MANAGEMENT.
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Forhad, F. B., Anwar, M. P., Rashid, H. O., Hasan, A. K., Kheya, S. A., Afrin, S., Yeasmin, S., and Islam, A. K. M. M.
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TRANSPLANTING (Plant culture) ,RICE ,GRAIN yields ,AGRICULTURE ,NUTRIENT density ,BLOCK designs ,SEEDLINGS - Abstract
Healthy seedling is the best component of the transplant rice, which depends on its growing environment and appropriate nursery management techniques. To assess the effectiveness of various seeding densities and nutrient management in nurseries on seedling growth and yield of Boro rice, an experiment was conducted at the Agronomy Field Laboratory of Bangladesh Agricultural University from November 2019 to May 2020. The experiment comprised two factors, viz., seeding density (3): medium density (80 g m
-2 ) (control), high density (100 g m-2 ), very high density (120 g m-2 ); and nursery nutrient management (6): no nutrient applied, 10 g N m-2 , 15 g P m-2 , 15 g K m-2 , 10 g N m-2 + 15 g P m-2 + 15 g K m-2 , compost 2 kg m-2 . The experiment was replicated three times following randomized complete block design. With 80 g m-2 seed rate, the highest seedling dry weight, effective tillers hill-1 , grains panicle-1 and grain yield were achieved. Regarding nutrient management, seedlings fertilized with N+P+K produced the highest shoot length, seedling dry weight, effective tillers hill-1 , grains panicle-1 and grain yield. In case of interaction, the highest number of effective tillers hill-1 was obtained from 80 g m-2 seeding density with N+P+K application, which eventually resulted in the highest grain yield. Therefore, medium seeding density of 80 g m-2 and application of 10 g N+15 g P+15 g Km-2 in nursery may be practiced for better seedling growth and higher yield of Boro rice. [ABSTRACT FROM AUTHOR]- Published
- 2023
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21. On the Variants of Domination Number of Certain Graphs
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Fathima Sana Afrin. S and S. Sarah Surya
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Combinatorics ,Domination analysis ,Mathematics - Published
- 2019
22. Non-escaping frost tolerant QTL linked genetic loci at reproductive stage in six wheat DH populations
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Zhang, J., Islam, S., Zhao, Y., Anwar, M., Alhabbar, Z., She, M., Yang, R., Juhász, A., Tang, G., Chen, J., Liu, H., Jiang, Y., Zhai, S., Hu, X., Rong, J., Zhang, Y., Qin, Y., Liu, Q., Yu, Z., Balotf, S., Dowla, M., Afrin, S., Roy, N., Mallik, M.R., Us Saieed, M.A., Rahman, S., Sultana, N., Ahmed, S.A., Florides, C., Chen, K., Sharma, D., Height, N., Biddulph, B., Lu, M., Mayer, J.E., Ma, W., Zhang, J., Islam, S., Zhao, Y., Anwar, M., Alhabbar, Z., She, M., Yang, R., Juhász, A., Tang, G., Chen, J., Liu, H., Jiang, Y., Zhai, S., Hu, X., Rong, J., Zhang, Y., Qin, Y., Liu, Q., Yu, Z., Balotf, S., Dowla, M., Afrin, S., Roy, N., Mallik, M.R., Us Saieed, M.A., Rahman, S., Sultana, N., Ahmed, S.A., Florides, C., Chen, K., Sharma, D., Height, N., Biddulph, B., Lu, M., Mayer, J.E., and Ma, W.
- Abstract
Reproductive stage frost poses a major constraint for wheat production in countries such as Australia. However, little progress has been made in identifying key genes to overcome the constraint. In the present study, a severe frost event hit two large-scale field trials consisting of six doubled haploid (DH) wheat populations at reproductive stage (young microspore stage) in Western Australia, leading to the identification of 30 robust frost QTL on 17 chromosomes. The major 18 QTL with the phenotype variation over 9.5% were located on 13 chromosomes including 2A, 2B, 2D, 3A, 4A, 4B, 4D, 5A, 5D, 6D, 7A, 7B and 7D. Most frost QTL were closely linked to the QTL of anthesis, maturity, Zadok stages as well as linked to anthesis related genes. Out of those, six QTL were repetitively detected on the homologous regions on 2B, 4B, 4D, 5A, 5D, 7A in more than two populations. Results showed that the frost damage is associated with alleles of Vrn-A1a, Vrn-D1a, Rht-B1b, Rht-D1b, and the high copy number of Ppd-B1. However, anthesis QTL and anthesis related genes of Vrn-B1a and TaFT3-1B on chromosomes 5B and 1B did not lead to frost damage, indicating that these early-flowering phenotype related genes are compatible with frost tolerance and thus can be utilised in breeding. Our results also indicate that wild-type alleles Rht-B1a and Rht-D1a can be used when breeding for frost-tolerant varieties without delaying flowering time.
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- 2021
23. Determination of transmission reliability margin for brownout
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Nadia, A., Hossain, Md.S., Hasan, Md.M., Afrin, S., Shafiullah, M., Hossain, Md.B., Islam, K.Z., Nadia, A., Hossain, Md.S., Hasan, Md.M., Afrin, S., Shafiullah, M., Hossain, Md.B., and Islam, K.Z.
- Abstract
Power shortage is a severe problem in developing countries that are rolling to blackout, but today smart grids have the scope to avoid entire blackouts by transforming them into brownouts. A brownout is an under-voltage condition where the AC supply drops below the nominal value (120 V or 220 V) by about 10%. In a power system network, power shortages or disturbances can occur at any time, and the reliability margin analysis is essential to maintain the stability of the system. Transmission reliability margin (TRM) is a margin that keeps the network secure during any occurrence of disturbance. This paper presents a new approach to compute TRM in the case of brownout. The detailed assessment of TRM largely depends on the estimation of the available transfer power (ATC). In this method, the ATC of the system is calculated considering the effect of alternating current (AC) and direct current (DC) reactive power (Q) flow (DCQF). The entire procedure is carried out for the multi-transaction IEEE-6 bus system, and the results are compared to the current efficiency justification method. Numerical results demonstrate that the proposed technique is an effective alternative for calculating the TRM and is valid compared to the existing technique.
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- 2021
24. Contribution of Noncanonical Antigens to Virulence and Adaptive Immunity in Human Infection with Enterotoxigenic E. coli
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Kuhlmann, F. M., primary, Laine, R. O., additional, Afrin, S., additional, Nakajima, R., additional, Akhtar, M., additional, Vickers, T., additional, Parker, K., additional, Nizam, N. N., additional, Grigura, V., additional, Goss, C. W., additional, Felgner, P. L., additional, Rasko, D. A., additional, Qadri, F., additional, and Fleckenstein, J. M., additional
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- 2021
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25. Fortified buckwheat noodles as a potential replacement of locally produced noodles
- Author
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Farzana, T, primary, Hossain, FB, additional, Orchy, TN, additional, Mohajan, S, additional, Fatema, J, additional, and Afrin, S, additional
- Published
- 2021
- Full Text
- View/download PDF
26. Smart polymer coatings for protection from corrosion
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Sethi, Jatin, Afrin, S., Karim, Z., Sethi, Jatin, Afrin, S., and Karim, Z.
- Abstract
In this chapter, various novel and well-noted approaches for corrosion preventive coatings have been discussed. Very well-documented factors that affect the corrosion mechanism are environmental factors, metal, and surface conditions and are elaborated in detail. Various modern, highly approachable, and currently used coating approaches are expanded and explained. This chapter provides a full view of the modern techniques used for corrosion prevention and cure., Part of book: ISBN 9780128199619, QC 20220613
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- 2020
- Full Text
- View/download PDF
27. Comparative effects of ascobin and glutathione on copper homeostasis and oxidative stress metabolism in mitigation of copper toxicity in rice
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Tahjib‐Ul‐Arif, M., primary, Sohag, A. A. M., additional, Mostofa, M. G., additional, Polash, M. A. S., additional, Mahamud, A. G. M. S. U., additional, Afrin, S., additional, Hossain, M. A., additional, Murata, Y., additional, and Tran, L.‐S. P., additional
- Published
- 2021
- Full Text
- View/download PDF
28. Analysis of Seasonal Price Fluctuations of Paddy (Boro) in Bangladesh
- Author
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Islam, S, primary, Afrin, S, primary, Afrin, T, primary, and Khatun, MM, primary
- Published
- 2021
- Full Text
- View/download PDF
29. Complete mitochondrial genome sequence of Bos frontalis (Gayal) from Bangladesh
- Author
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Deb, GK, primary, Khatun, R, additional, Hossain, SMJ, additional, Rahman, SS, additional, Bhuiyan, MAB, additional, Mobassirin, S, additional, Afrin, S, additional, Billah, M, additional, Baten, A, additional, Sarker, NR, additional, Bhuyian, MSA, additional, and Siddiki, AMAMZ, additional
- Published
- 2020
- Full Text
- View/download PDF
30. Adequacy assessment of an urban drainage system considering future land use and climate change scenario
- Author
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Afrin, S., primary, Islam, M. M., additional, and Rahman, M. M., additional
- Published
- 2020
- Full Text
- View/download PDF
31. Gas Chromatography–Mass Spectrometric (GC-MS) Determination of Polycyclic Aromatic Hydrocarbons in Smoked Meat and Fish Ingested by Bangladeshi People and Human Health Risk Assessment.
- Author
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Tareq, A. R. M., Afrin, S., Hossen, M. S., Hashi, A. S., Quraishi, Shamshad B., Nahar, Q., Begum, R., and Ullah, A. K. M. Atique
- Subjects
- *
POLYCYCLIC aromatic hydrocarbons , *HEALTH risk assessment , *SMOKED meat , *PLASTIC marine debris , *GAS chromatography/Mass spectrometry (GC-MS) , *POTASSIUM hydroxide , *PYRENE - Abstract
This study investigated the human health risk assessment of polycyclic aromatic hydrocarbons (PAHs) (naphthalene, fluorene, phenanthrene, anthracene, pyrene, benzo(a)anthracene, chrycene, and benzo(a)pyrene) from the consumption of smoked fish (Coral, Telapia, Shrimp, and Rupchanda) and smoked meat (Beef Shikh Kabab, Mutton Shikh Kabab, Kashmiri Kabab, and Chicken Grill) highly consumed by Bangladeshi people quantified by gas chromatography-mass spectrometry (GC-MS) technique. The samples were hydrolyzed in methanolic potassium hydroxide solution and treated with cyclohexane for the extraction of the PAHs from the samples and then subjected to GC-MS technique for the analyses of PAHs. Results showed that the minimum and maximum mean concentrations of the aforesaid PAHs were found to be 19.23 and 294.50 µg/kg in smoked meat, and 4.18 and 4.54 µg/kg in smoked fish samples. Of the carcinogenic PAHs, benzo(a)pyrene (BaP) was the most representative in smoked meat samples ranging from 6.68 to 46.90 µg/kg that exceeded the 5.0 µg/kg maximum level for smoked meat and smoked fish set by the European Commission (EC Regulation No 1881/2006).The present data indicate that all of the smoked meat are unsafe for human consumption. Mathematically calculation representing the carcinogenic risk value of targeted compounds was −4 within the acceptable range of 1.0 × 10−6 to 1.0 × 10−4 (USEPA, 1989). The spike recovery of PAHs was ranging from 70.0 to 90.5% that demonstrated the perfect reliability and accuracy of the methodology employed in this study. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
32. Contribution of noncanonical antigens to virulence and adaptive immunity in human infection with enterotoxigenic E. coli
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Kuhlmann, FM, primary, Laine, RO, additional, Afrin, S, additional, Nakajima, R, additional, Akhtar, M, additional, Vickers, T, additional, Parker, K, additional, Nizam, NN, additional, Grigura, V, additional, Goss, CW, additional, Felgner, PL, additional, Rasko, DA, additional, Qadri, F, additional, and Fleckenstein, JM, additional
- Published
- 2020
- Full Text
- View/download PDF
33. Leprosy patients with deformities at post‐elimination stage: The Bangladesh experience
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Mowla, M. R., primary, Angkur, D. M., additional, Hasan, Z., additional, Sultana, M. N., additional, Afrin, S., additional, and Akhter, M. S., additional
- Published
- 2020
- Full Text
- View/download PDF
34. Farmer’s challenges in adopting artificial insemination of cattle in Bangladesh
- Author
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Mazumder, A., primary, Hoque, M. J., additional, Kundu, A. K., additional, and Afrin, S., additional
- Published
- 2020
- Full Text
- View/download PDF
35. Gas Chromatography–Mass Spectrometric (GC-MS) Determination of Polycyclic Aromatic Hydrocarbons in Smoked Meat and Fish Ingested by Bangladeshi People and Human Health Risk Assessment
- Author
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Tareq, A. R. M., primary, Afrin, S., additional, Hossen, M. S., additional, Hashi, A. S., additional, Quraishi, Shamshad B., additional, Nahar, Q., additional, Begum, R., additional, and Ullah, A. K. M. Atique, additional
- Published
- 2020
- Full Text
- View/download PDF
36. Farmer`s Perception about Resurgence of Brown Planthopper, Nilaparvata Lugens (Stål) in Bangladesh
- Author
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Uddin, A B M A, primary, Islam, K S, primary, Jahan, M, primary, Ara, A, primary, and Afrin, S, primary
- Published
- 2020
- Full Text
- View/download PDF
37. Incidence of Major Insect Pests and Natural Enemies in Three Rice Growing Seasons of Bangladesh
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Afrin, S, primary, Bari, M N, primary, Kabir, M M M, primary, Uddin, A B M A, primary, and Haque, S S, primary
- Published
- 2020
- Full Text
- View/download PDF
38. Combine effect of BA and IAA on shoot and root induction potentiality in chrysanthemum (Chrysanthemum morifolium)
- Author
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Khan, M. S. I., primary, Khatun, F., additional, Afrin, S., additional, Munsur, M. A. Z. A., additional, and Hoque, M. E., additional
- Published
- 2020
- Full Text
- View/download PDF
39. Intrauterine growth retardation
- Author
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Rajyalakshmi, E, primary, Afrin, S, additional, Saddam, S, additional, and Kalarani, D Hepcy, additional
- Published
- 2020
- Full Text
- View/download PDF
40. Effect of phytohormone on shoot generation potentiality in rucola
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Afrin, S., primary, Munsur, M. A. Z. A., additional, Khan, M. S. I., additional, Khatun, F., additional, and Hoque, M. E., additional
- Published
- 2020
- Full Text
- View/download PDF
41. Effect of aromatase inhibitor, letrozole on semen parameters in eugonadotropic hypoandrogenic men with oligozoospermia
- Author
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Jahan I., Ishrat S., Banu J., Fatima P., Ansary S. A., Afrin S., and Nasreen K.
- Abstract
Background: Some men with severely defective sperm production commonly have excess aromatase activity, reflected by low serum testosterone and relatively elevated estradiol levels. Elevated levels of estrogen lead to feedback inhibition of the hypothalamic -pituitary-gonadal axis, and the end result is a decrease in LH necessary for the production of testosterone, and FSH to optimize sperm production. The aim of this study was to evaluate the effect of aromatase inhibitor, letrozole on the semen parameters of infertile male having oligozoospermia, low serum testosterone level and testosterone to estradiol ratio
- Published
- 2021
42. SUSCEPTIBILITY OF BACTERIAL ISOLATES FROM WOUND SWABS IN BANGLADESH: LABORATORY -- BASED SURVEILLANCE STUDY.
- Author
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IQBAL H., AHMED M., MAHBOOB N., AFRIN S., and MAMUN K. Z.
- Subjects
SURGICAL swabs ,WOUND healing ,ANTIBIOTICS ,STAPHYLOCOCCUS aureus - Abstract
Background: Wound infection is one of the major health problems that occur frequently. Infections of the wound result from entry of the organisms through breached skin. It plays an important role in the development of chronicity, delaying wound healing. It is evident that wound infection is a challenging situation for the physicians. Multiple bacteria can cause wound infection. Both broad spectrum and narrow spectrum antibiotics are available for the treatment. It is ideal to give proper antibiotic after culture and sensitivity of the wound swab. Improper and irrational use of antibiotics can lead to drug resistance. Objective: To isolate and identify the bacteria causing wound infection and to determine the antimicrobial susceptibility pattern. Materials and method: This descriptive cross-sectional study was carried out at the Microbiology Laboratory, Popular Diagnostic Centre Ltd, Dhanmondi, Dhaka, Bangladesh, from November 2019 to January 2020. A total of 62 wound swabs were collected and analyzed for culture and antibiotic sensitivity. Results: From total wound swab samples, 49 (79%) were culture positive. The most common isolated pathogen was Acinetobacter spp. 20 (40.81%). Other isolates were Staphylococcus aureus 10 (20.41%); Escherichia coli 07 (14.29%); Pseudomonas aeruginosa 07 (14.29%); Klebsiella 04 (08.16%) and Proteus 01 (02.04%). Among the Gram negative isolates, Acinetobacter spp showed 100% sensitivity to colistin, 85% to imipenem, 30% to amikacin and 25% to piperacillin + tazobactum. E. coli showed 100% sensitivity to imipenem and colistin and least sensitivity to third generation cephalosporin. Pseudomonas showed 100% sensitivity to piperacillin+tazobactum, 85.71% to imipenem and aztreonam. Among the Gram positive isolates, Staphylococcus aureus showed 100% sensitivity to linezolid, vancomycin, imipenem, cloxacillin, amikacin and least sensitivity to azithromycin. Conclusion: Acinetobacter spp. was the most frequently isolated pathogen from wound swab and the antibiotic sensitivity pattern of various isolates will help the clinician in appropriate selection of antibiotics against wound infection. [ABSTRACT FROM AUTHOR]
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- 2021
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- View/download PDF
43. Challenges in conducting trials for pediatric tuberculous meningitis: lessons from the field
- Author
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Paradkar, M., primary, Devaleenal, D. B., additional, Mvalo, T., additional, Arenivas, A., additional, Thakur, K. T., additional, Afrin, S., additional, Giridharan, P., additional, Selladurai, E., additional, Kinikar, A., additional, Valvi, C., additional, Gupta, A., additional, Mave, V., additional, and Dooley, K. E., additional
- Published
- 2019
- Full Text
- View/download PDF
44. Evaluation of morphological traits, phytochemical compositions and antioxidant properties of watercress leaves
- Author
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Sakil, MA, primary, Polash, MAS, primary, Afrin, S, primary, and Hossain, MA, primary
- Published
- 2019
- Full Text
- View/download PDF
45. Fortified buckwheat noodles as a potential replacement of locally produced noodles.
- Author
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Farzan, T., Hossain, F. B., Orchy, T. N., Mohajan, S., Fatema, J., and Afrin, S.
- Subjects
BUCKWHEAT ,NOODLES ,TASTE testing of food ,NUTRITION ,FLOUR - Published
- 2021
- Full Text
- View/download PDF
46. Adequacy assessment of an urban drainage system considering future land use and climate change scenario
- Author
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Afrin, S., Islam, M. M., and Rahman, M. M.
- Published
- 2021
- Full Text
- View/download PDF
47. Measles and immunological amnesia.
- Author
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AFRIN, S., MAMUN, K. T., JANNAT, H., MAHBOB, N., and IQBAL, H.
- Subjects
- *
MEASLES , *BONE marrow cells , *PATHOLOGY , *AMNESIA , *B cells , *PSYCHONEUROIMMUNOLOGY - Abstract
Measles virus remains the most important cause of childhood mortality, causing a transient immunosuppression that accompanies and follows measles making the patients susceptible to secondary infections accounting for most of the measles-related complications and deaths. The majority of measles virus in the body uses Signaling Lymphocyte Activation Molecule (SLAM) as a receptor and only a minority of the virus may also use CD46. Infection and subsequent demise of SLAM cells may explain the severe immunosuppressive characteristic of this viral disease. Measles also reduce the nonspecific naïve B cells in the bone marrow, which fight unfamiliar infections and SLAM signaling intensifies CD95-mediated apoptosis of B cells. Furthermore, in experimentally infected non-human primates (NHPs) measles virus infects and depletes pre-existing memory lymphocytes, causing immune amnesia. Results from different studies explain the long-term immunologic sequelae of measles resulting in overall childhood infectious disease mortality. As measles infection is tightly coupled to measles-associated immune memory loss, advancement in research regarding post measles immunological amnesia is needed to investigate immune pathogenesis and host immune responses. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
48. ANALYSIS OF SEASONAL PRICE FLUCTUATIONS OF PADDY (Boro) IN BANGLADESH.
- Author
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Islam, S., Afrin, S., Afrin, T., and khatun, M. M.
- Subjects
PRICE fluctuations ,TREND analysis ,MOVING average process ,PRICE increases - Abstract
SAARC J. Agric., 18(2): 219-226 (2020) DOI: https://doi.org/10.3329/sja.v18i2.51121 *Corresponding author: safiul.islam@sau.edu.bd Received: 13.10.2020 Accepted: 02.12.2020 Research Article ANALYSIS OF SEASONAL PRICE FLUCTUATIONS OF PADDY (Boro) IN BANGLADESH S. Islam *, S. Afrin, T. Afrin and M.M. khatun Department of Agribusiness and Marketing Sher-e-Bangla Agricultural University Bangladesh, Dhaka ABSTRACT This paper has focused on seasonal variations of price and trend of the price escalation of paddy in Bangladesh using monthly average wholesale price of Boro paddy over a period from 2001 to 2019. The current paper is discussed about the trend of price escalation of paddy and also discussed about the seasonal variation of price of paddy. If the year-to-year prices changes and the impact seasonal variation are reduced, then the government can ensure food for every household at reasonable price and the stability of price of paddy will be ensured. The multiplicative model was exercised in this study; the least square method was applied to find out the long-term changes occurring in the price of paddy and the ratio to moving average method was used to measure seasonal fluctuations in price of paddy. [Extracted from the article]
- Published
- 2020
- Full Text
- View/download PDF
49. Microbial assessment of beef in selected areas of Mymensingh district in Bangladesh
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Afrin, S, primary, Hossain, MM, primary, Khan, M, primary, and Hossain, MD, primary
- Published
- 2018
- Full Text
- View/download PDF
50. Rice Production without Insecticide in Smallholder Farmer's Field
- Author
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Ali, M. P., primary, Bari, M. N., additional, Ahmed, N., additional, Kabir, M. M. M., additional, Afrin, S., additional, Zaman, M. A. U., additional, Haque, S. S., additional, and Willers, J. L., additional
- Published
- 2017
- Full Text
- View/download PDF
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