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7. Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling

Author

Alfatemi, Ali, Rahouti, Mohamed, Amin, Ruhul, ALJamal, Sarah, Xiong, Kaiqi, and Xin, Yufeng

Subjects
Computer Science - Cryptography and Security, Computer Science - Machine Learning
Abstract

Distributed Denial of Service (DDoS) attacks pose a significant threat to the stability and reliability of online systems. Effective and early detection of such attacks is pivotal for safeguarding the integrity of networks. In this work, we introduce an enhanced approach for DDoS attack detection by leveraging the capabilities of Deep Residual Neural Networks (ResNets) coupled with synthetic oversampling techniques. Because of the inherent class imbalance in many cyber-security datasets, conventional methods often struggle with false negatives, misclassifying subtle DDoS patterns as benign. By applying the Synthetic Minority Over-sampling Technique (SMOTE) to the CICIDS dataset, we balance the representation of benign and malicious data points, enabling the model to better discern intricate patterns indicative of an attack. Our deep residual network, tailored for this specific task, further refines the detection process. Experimental results on a real-world dataset demonstrate that our approach achieves an accuracy of 99.98%, significantly outperforming traditional methods. This work underscores the potential of combining advanced data augmentation techniques with deep learning models to bolster cyber-security defenses., Comment: 8 pages, 3 figures

Published
2024

11. INNOVATION UNLEASHED: MEASURING THE EFFECTIVENESS OF ATAL INCUBATION CENTRES IN NURTURING WOMEN ENTREPRENEURS/ INOVACAO DESENCADEADA: MEDINDO A EFICACIA DOS CENTROS DE INCUBACAO ATAL NA FORMACAO DE MULHERES EMPREENDEDORAS/ INNOVACION DESATADA: MEDICION DE LA EFICACIA DE LOS CENTROS DE INCUBACION DE ATAL EN LA FORMACION DE MUJERES EMPRENDEDORAS

Author

Prakash C.S., Siva, Verma, Jaya, Ghosh, Reshmi, Sharma, Surya Kant, Nath, Hitumoni, Amin, Ruhul, and Das, Ajanta

Published
2024
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12. SFLAB: Smart FIR Lodging Architecture and Solution Using Blockchain and IPFS Technology

Author

Banerjee, Soham, Garg, Anubhav, Obaidat, Mohammad S., Abdussami, Mohammad, Amin, Ruhul, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, R., Annie Uthra, editor, Kottursamy, Kottilingam, editor, Raja, Gunasekaran, editor, Bashir, Ali Kashif, editor, Kose, Utku, editor, Appavoo, Revathi, editor, and Madhivanan, Vimaladevi, editor

Published
2024
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14. Technology and COVID-19: How Reliant is Society on Technology?

Author

Rahman, Afsana and Amin, Ruhul

Subjects
Computer Science - Computers and Society
Abstract

Social media and messaging platforms have become a support system for those in fear of COVID-19 while, at the same time, becoming the root cause of spreading hate, inaccurate representations, and false realities. As technology has morphed into a commodity for daily tasks and actions, this article may be useful for people of all ages and backgrounds who are interested in understanding the impact of technology on society.

Published
2022

15. Room Temperature Magneto-dielectric coupling in the CaMnO3 modified NBT lead-free ceramics

Author

Samantaray, Koyal Suman, Amin, Ruhul, Ayaz, Saniya, Pathak, A. K., Hanley, Christopher, Mekki, A., Harrabi, K., and Sen, Somaditya

Subjects
Condensed Matter - Materials Science, Physics - Applied Physics
Abstract

The sol-gel prepared (1-x) Na0.5Bi0.5TiO3- (x) CaMnO3 (x=0, 0.03, 0.06, 0.12) compositions show a Rhombohedral (R3c) phase for x=0.06 while a mixed Rhombohedral (R3c) and orthorhombic (Pnma) phases for the x=0.12. The lattice volume consistently decreased with an increase in the CaMnO3 content. The phase transition temperature (Tc) decreased with an increase in the CaMnO3 compositions. The room temperature dielectric constant increased, and loss decreased for the x=0.03 composition due to a decrease in the oxygen vacancy and Bi loss confirmed by the valence state study (XPS). All the compositions show a variation of the room temperature dielectric property with an application of magnetic field confirming a magnetodielectric coupling. The x=0.06 composition shows the highest negative magnetodielectric constant (MD%) of 3.69 at 100kHz at an applied field of 5 kG.

Published
2022

19. List of contributors

Author

Almasi, Hadi, primary, Alves, Marta M., additional, Amin, Ruhul, additional, Amjadi, Sajed, additional, Ansorena, María Roberta, additional, Araújo Melo, Aíris Maria, additional, Arrieta, M.P., additional, Awang Wahab, Dayangku Nurshahirah, additional, Azizi, Saeedeh, additional, Barri, Ali, additional, Bastos, Maria do Socorro Rocha, additional, Benitez, Miriam, additional, Binoj, Joseph Selvi, additional, Cacciotti, Ilaria, additional, Calina, Daniela, additional, Che Hamzah, Nurul Husna, additional, Coelhoso, Isabel, additional, Coimbra, Jane Sélia dos Reis, additional, de Albuquerque Oliveira, Marília, additional, de Paiva, Gabriela Martins, additional, Dheyab, Mohammed Ali, additional, Dutta, A.S., additional, Ebrahimi, Alireza, additional, Fernando, Ana Luísa, additional, Ferro-Furtado, Roselayne, additional, Gallichi Nottiani, Duccio, additional, Garavand, Farhad, additional, Giaroli, María Carolina, additional, Gonçalves, Marília Magalhães, additional, Hamishehkar, Hamed, additional, Jacob, Jissy, additional, Khairuddin, Nozieana, additional, Khodaei, Diako, additional, Kumar Dey, Biplab, additional, Kuriakose, Sunny, additional, Lakshmy, K.S., additional, Liew, Wen Ching, additional, Linson, Nihita, additional, Lotti, Nadia, additional, López, Olivia V., additional, Lunetta, Erika, additional, Macedo dos Santos, Talita, additional, Mahmud, Niaz, additional, Mansingh, Bright Brailson, additional, Marcovich, Norma E., additional, Messina, Marianna, additional, Milanese, Daniel, additional, Mobin Siddique, Md Bazlul, additional, Mohammadi, Maryam, additional, Mohammadi Nafchi, Abdorreza, additional, Muhamad, Ida Idayu, additional, Ninago, Mario D., additional, Oladzadabbasabadi, Nazila, additional, Passaretti, María Gabriela, additional, Pastore, Glaucia Maria, additional, Pinho, Lívia Xerez, additional, Queiroz de Oliveira, Williara, additional, Rodríguez-Mercado, F., additional, Ros-Lis, Jose V., additional, Roy, Swarup, additional, Sajesha, Karakkad P., additional, Salehudin, Mohd Harfiz, additional, Santos, Igor José Boggione, additional, Santos, Catarina Ferreira, additional, Sargin, Idris, additional, Schogl, Andersen Escobar, additional, Sciancalepore, Corrado, additional, Sharifi-Rad, Javad, additional, Siracusa, Valentina, additional, Souza, Victor Gomes Lauriano, additional, Tahergorabi, Reza, additional, Thomas, Sabu, additional, Torres, A., additional, Viacava, Gabriela E., additional, Villar, Marcelo A., additional, Villegas, C., additional, and Zachariah, Suji Mary, additional

Published
2024
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27. Defect Dipole Induced Improved Electrocaloric Effect in Modified NBT-6BT Lead-Free Ceramics

Author

Samantaray, Koyal Suman, Amin, Ruhul, Rini, E. G, Bhaumik, Indranil, Mekki, A., Harrabi, K., and Sen, Somaditya

Subjects
Condensed Matter - Materials Science
Abstract

The Rietveld refinement of the polycrystalline powders of 1% Fe and Mn-doped (Na0.5Bi0.5)0.94Ba0.06Ti0.98V0.02O3 at the Ti-site confirmed a single rhombohedral (R3c) phase. The bandgap, (Eg) was affected by the anti-phase octahedral tilt angle and the spin-orbit splitting energy of Ti4+2p3/2 and Ti4+2p1/2 states. The decrease in Bi loss and increase in the binding energy of Ba due to Fe/Mn doping has been correlated to the strengthening of Bi-O and Ba-O bonds which was revealed from the XPS studies thereby further related to the average A-O bond length from structural studies. Hence, a reduction of oxygen vacancy (VO) for the doped samples has been justified. A significant improvement of the dielectric constant, relaxation time ({\tau}0), and the decrease in conductivity due to doping was revealed from the frequency-dependent (10Hz-1MHz) dielectric measurement study. The conduction and relaxation process is dominated by the short-range movement of defects. The activation energy (Ea ~1eV) revealed that there is a presence of double-ionized VOs. The ECE study showed a significant enhancement of the changes in entropy, and the adiabatic temperature difference due to doping, with the change in tempearture being highest in the Fe-doped sample. Such improvement of dielectric and ECE properties was confirmed due to the reduction of the mobility of oxygen vacancy because of the formation defect dipoles.

Published
2021

33. Feasibility and acceptability of home-based neonatal hyperbilirubinemia screening by community health workers using transcutaneous bilimeters in Bangladesh

Author

Rahman, Mahbubur, Jahan, Farjana, Billah, Sk Masum, Yeasmin, Farzana, Rahman, Musarrat Jabeen, Jahir, Tania, Parvez, Sarker Masud, Das, Jyoti Bhushan, Amin, Ruhul, Hossain, Khobair, Grant, Hannah, Hasan, Rezaul, Darmstadt, Gary L., Hoque, Md. Mahbubul, Shahidullah, Mohammod, Islam, Muhammad Shariful, Ashrafee, Sabina, and Foote, Eric M.

Published
2023
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39. Design of Novel Feature Union for Prediction of Liver Disease Patients: A Machine Learning Approach

Author

Yasmin, Rubia, Amin, Ruhul, Reza, Md. Shamim, 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, Hossain, Md. Sazzad, editor, Majumder, Satya Prasad, editor, Siddique, Nazmul, editor, and Hossain, Md. Shahadat, editor

Published
2023
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40. Reliable Network-Packet Binary Classification

Author

Gudla, Raju, Vollala, Satyanarayana, Amin, Ruhul, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Patel, Kanubhai K., editor, Santosh, K. C., editor, and Patel, Atul, editor

Published
2023
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41. Cryptanalysis on 'ESEAP: ECC-Based Secure and Efficient Mutual Authentication Protocol Using Smart Card'

Author

Abdussami, Mohammad, Amin, Ruhul, Vollala, Satyanarayana, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Singh, Pradeep Kumar, editor, Wierzchoń, Sławomir T., editor, Tanwar, Sudeep, editor, Rodrigues, Joel J. P. C., editor, and Ganzha, Maria, editor

Published
2023
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43. i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome

Author

Amin, Ruhul, Rahman, Chowdhury Rafeed, Toaha, Md. Sadrul Islam, and Shatabda, Swakkhar

Subjects
Quantitative Biology - Genomics, Computer Science - Machine Learning
Abstract

DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification and is responsible for many biological functions. Experimental methods for genome wide 6mA site detection is an expensive and manual labour intensive process. Automated and accurate computational methods can help to identify 6mA sites in long genomes saving significant time and money. Our study develops a convolutional neural network based tool i6mA-CNN capable of identifying 6mA sites in the rice genome. Our model coordinates among multiple types of features such as PseAAC inspired customized feature vector, multiple one hot representations and dinucleotide physicochemical properties. It achieves area under the receiver operating characteristic curve of 0.98 with an overall accuracy of 0.94 using 5 fold cross validation on benchmark dataset. Finally, we evaluate our model on two other plant genome 6mA site identification datasets besides rice. Results suggest that our proposed tool is able to generalize its ability of 6mA site identification on plant genomes irrespective of plant species. Web tool for this research can be found at: https://cutt.ly/Co6KuWG. Supplementary data (benchmark dataset, independent test dataset, comparison purpose dataset, trained model, physicochemical property values, attention mechanism details for motif finding) are available at https://cutt.ly/PpDdeDH.

Published
2020
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44. Success Factors for Community Health Workers in Implementing an Integrated Group-Based Child Development Intervention in Rural Bangladesh.

Author

Jahir, Tania, Winch, Peter J, Leontsini, Elli, Hwang, Sharon T, Yeasmin, Farzana, Hossain, Khobair, Das, Jyoti Bhushan, Amin, Ruhul, Nurul Huda, Tarique Md, Sultana, Jesmin, Khan, Rizwana, Akter, Fahmida, Shoab, Akm, Hasan, Rezaul, Pitchik, Helen O, Tofail, Fahmida, Fernald, Lia CH, Luby, Stephen P, and Rahman, Mahbubur

Subjects
Humans, Child Development, Sanitation, Lactation, Pregnancy, Child, Child, Preschool, Bangladesh, Female, Community Health Workers, community health workers, early child development, group sessions, integrated intervention, maternal mental health, prevention of lead exposure, Toxicology
Abstract

Community Health Workers (CHWs) can effectively implement maternal and child health interventions, but there is paucity of evidence on how to integrate child stimulation into these interventions, and their delivery at scale. In rural Bangladesh, CHWs implemented an intervention integrating psychosocial stimulation, nutrition, maternal mental health, water, sanitation, hygiene (WASH) and lead exposure prevention. In each of 16 intervention villages, one CHW worked with 20 households. CHWs bi-weekly held group meetings or alternated group meetings and home visits with pregnant women and lactating mothers. We assessed the intervention through five focus groups, four interviews and one group discussion with CHWs and their supervisors to explore success factors of implementation. CHWs' training, one-on-one supervision and introduction by staff to their own community, and adoption of tablet computers as job aids, enabled successful session delivery to convey behavioral recommendations. CHWs reported difficulties delivering session due to the complexity of behavioral recommendations and struggled with age-specific intervention material. Young children's attendance in group sessions generated distractions that undermined content delivery. We identified ways to minimize the difficulties to strengthen intervention-delivery during implementation, and scale-up. Iterative revisions of similarly integrated interventions based on qualitative evaluation findings could be delivered feasibly by CHWs and allow for implementation at scale.

Published
2021

45. iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters

Author

Amin, Ruhul, Rahman, Chowdhury Rafeed, Sifat, Md. Habibur Rahman, Liton, Md Nazmul Khan, Rahman, Md. Moshiur, Shatabda, Swakkhar, and Ahmed, Sajid

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Promoter is a short region of DNA which is responsible for initiating transcription of specific genes. Development of computational tools for automatic identification of promoters is in high demand. According to the difference of functions, promoters can be of different types. Promoters may have both intra and inter class variation and similarity in terms of consensus sequences. Accurate classification of various types of sigma promoters still remains a challenge. We present iPromoter-BnCNN for identification and accurate classification of six types of promoters - sigma24, sigma28, sigma32, sigma38, sigma54, sigma70. It is a Convolutional Neural Network (CNN) based classifier which combines local features related to monomer nucleotide sequence, trimer nucleotide sequence, dimer structural properties and trimer structural properties through the use of parallel branching. We conducted experiments on a benchmark dataset and compared with two state-of-the-art tools to show our supremacy on 5-fold cross-validation. Moreover, we tested our classifier on an independent test dataset. Our proposed tool iPromoter-BnCNN web server is freely available at http://103.109.52.8/iPromoter-BnCNN. The runnable source code can be found at https://colab.research.google.com/drive/1yWWh7BXhsm8U4PODgPqlQRy23QGjF2DZ.

Published
2019
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46. A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique

Author

Rahman, Md. Hasibur, Rahman, Chowdhury Rafeed, Amin, Ruhul, Sifat, Md. Habibur Rahman, and Anika, Afra

Subjects
Computer Science - Computation and Language, Computer Science - Information Retrieval, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Question classification (QC) is the primary step of the Question Answering (QA) system. Question Classification (QC) system classifies the questions in particular classes so that Question Answering (QA) System can provide correct answers for the questions. Our system categorizes the factoid type questions asked in natural language after extracting features of the questions. We present a two stage QC system for Bengali. It utilizes one dimensional convolutional neural network for classifying questions into coarse classes in the first stage. Word2vec representation of existing words of the question corpus have been constructed and used for assisting 1D CNN. A smart data balancing technique has been employed for giving data hungry convolutional neural network the advantage of a greater number of effective samples to learn from. For each coarse class, a separate Stochastic Gradient Descent (SGD) based classifier has been used in order to differentiate among the finer classes within that coarse class. TF-IDF representation of each word has been used as feature for the SGD classifiers implemented as part of second stage classification. Experiments show the effectiveness of our proposed method for Bengali question classification.

Published
2019
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49. Implementation of Global Hearts Hypertension Control Programs in 32 Low- and Middle-Income Countries: JACC International

Author

Pathni, Anupam, Osi, Kufor, Dessie, Girma, Zhang, Xiulei, Cazabon, Danielle, Banigbe, Bolanle, Farrell, Margaret, Erojikwe, Okeoma, Swahoo, Swagata, Krishna, Ashish, Yusuf, Abdikaid Ahmed, Kebede, Henok Gebreyohannes, Berhanu, Molla Gedefaw, Bezabih, Tilahun, Tegegn, Teshome Ayalew, Demissie, Workneh, Burka, Daniel, Tasmin, Misu, Ogbeide, Bolatito, Cheadle, Timothy, Odu, Joseph, Beyene, Meron Hailu, Borkhataria, Cecile, Elliott, Kate, Jaffe, Marc, Garg, Renu, Frieden, Thomas R., Khan, Taskeen, Slama, Slim, Mikkelson, Bente, Lai, Truong Duc, Santos, Rauell John, Aquino, Tyrone, Calla, Dofel Joseph, Kunwar, Abhishek, Durgad, Kiran, Bunluesin, Sushera, Dewan, Mary, Obagha, C.E., Msyamboza, Kelias, Das, Bidisha, Kishore, Navneet, Puthussery, Yannick Poulose, Sambandam, Gopinath Thirugnana, Immanuel, A Branch, Chandrakant Joshi, Chakshu, Bhardawaj, Rupali, Wankhede, Amol, Khedkar, Suhas Namdevrao, Bhardawaj, Vishwajit Washudeorao, Kumar Reddy, Thokala Sravan, Chavan, Tejpalsinh Anandrao, Chittimella, Raghavendra Patel, Bhandari, Subhasis, Shah, Urvin Kumar, Chandram, Deenadayalan, Wassey, Mohammed Abdul, Kadia, Abhinav, Sarode, Lalit Dinkar, Chauhan, Lalita, Ponna, Satyendra Nath, Babu, Suresh, Gupta, Piyush, Reddy, Thej Kiran, Sekhon, Hanspreet, Jeelani, Asif, Nath, Gunjan, Wankhede, Virendra, Jayaprasad, Niniya, Mohanty, Trishna, Kumar, Praveen, Khanna, Abhishek, Singh, Shweta, Bhat, Ashish, Thakkar, Jatin, Anitha Sreekumar, Aiswarya Lakshmi, Lakshmanasamy, Ravivarman, Rafique, Mohamed Essa, Dar, Sunil Kumar, Chintala, Sreedhar, Jagadeesh, Bharath, Patruni, Manoj, Raimule, Madhur, Prabhu Valawalkar, Shahanara S., Ordunez, Pedro, Giraldo, Gloria, Martinez, Ramon, Rosende, Andres, Rodriguez, Yenny, Lombardi, Cintia, Gamarra, Angelo, Rodriguez, Libardo, Parra, Natalia, Rodriguez, Gonzalo, Villalta, Noelia, Escobar, Maria C., Villacres, Nilda, Sorto, Carlos, Baca, Edith, Batista, Vhania, Perez, Vivian, Victoria, Jorge, Abaakouk, Zohra, Malcolm, Taraleen, Kostova, Deliana, Richter, Patricia, Whelton, Paul K., Lackland, Daniel, Weber, Michael, Pineiro, Daniel, Wood, David, Pinto, Fausto, Mwangi, Jeremiah, Perel, Pablo, Codato, Elisa, Eiselé, Jean-Luc, Kaur, Prabhdeep, Parashuraman, Ganeshkumar, Sharma, Meenakshi, Shivashankar, Roopa, Bangar, Sampada Dipak, Chakma, Tapas, Pragya, Pragati, Malik, Abdul, Awal, Khondker Abdul, Malik, Fazilatunnesa, Choudhury, Sohel Reza, Bhuiyan, Mahfuzur Rahman, Jubayer, Shamim, Al Mamun, Mohammad Abdullah, Ishraquzzaman, Mir, Abrar, Ahmed Khairul, Akhter, Jubaida, Sultana, Sarmin, Parvej, Aslam, Sayem Khandoker Ehsanul Amin, Noor Nabi, Islam, Md Shahinul, Dey Parag, Deb Dulal, Amin, Ruhul, Luna, Mahfuja, Ibn Karim, Md Abbas, Mahajabin, Progga, Khan, Iqbal Ahmed, Hossain, Sazzad, Ullah, Riasat Razi, Nahid, Muhtamim Fuwad, Zhang, Xinhua, Huang, Hongxia, Wang, Hao, Guan, Tingrui, Zhao, Haiying, Ojji, Dike, Shedul, Gabriel Lamkur, Shedul, Grace, Orji, Anthony, Asuku, Regina, Alo-Joseph, Confidence, Akor, Charity, Egenti, Nonye, Nwankwo, Ada, Omitiran, Kasarachi, Okoli, Rosemary, Ripiye, Nanna, Akor, Blessing, Cai, Jun, Wang, Lu, Wang, Wenjie, Fan, Luyun, Xu, Jianrong (Jenny), Tang, Shanshan, Wu, Guoli, Smith, Barbara, Kenyon, Thomas, Mandal, Sudarsan, Swarnakar, Sunny, Wickramasinghe, S.C., Herath, Amila Bandarra, Ratnayake, I.U., Samarasinghe, Kosala, Kumarasiri, K.H.N., Vensentini, Natalia, Mendieta, Daniel Palacios, Rivera, Marcela, Gonzalez, Yamile Valdez, Cevallos, Lucia, Villatoro, Matías Humberto, Gloria Hernandez, Laura Elena, Arenas, Elsa, Fernández, Daniel, De Oleo, Daniel Mola, Cyr, Shana, Mitchell, Roxanne, Hossain, AHM Enayet, Amin, Mohammad Robed, Alim, Abdul, Milon, Sarowar Uddin, Alex-Okoh, M.O., Odoh-Bako, D.O., Malau, M.T., Oshundele, B.R., Akinkoye, O.K., Abraham, E.A., Eze, S.V., Elemuwa, Chris, Lamorde, Suleiman, Oguntayo, E.A., Rajab, Ashiru, Ibrahim, Auwalu, Soyinka, Festus, Caluag, Maria Elizabeth, Uy, Maria Rosario, Adriano Subaan, Regional Director, Gayomali, Aimee Marie, Lapascua, John Richard, Taffese, Hiwot Solomon, Bac, Truong Dinh, Bao, Tran Quoc, Guo, Xiaolei, Xu, Chunxiao, Zhang, Bingyin, Thi Tho, Nguyen Thi, Van, Ngo Hai, Danh, Phan Cong, Tinh, Ho Huu, Hau, Tran Phuc, Appel, Lawrence J., Matsushita, Kunihiro, Andersen, Katye, Ayensu-Asiedu, Christabelle, Byiringiro, Samuel, Brady, Tammy, Charleston, Jeanne, Chen, Mengkun, Commodore–Mensah, Yvonne, Dalcin, Arlene, Dennison-Himmelfarb, Cheryl, Ding, Ning, Doyle, Christopher K., Edward, Anbrasi, de Souza Elias, Sabrina, Foti, Kathryn, Greer, Raquel, Henry, Megan, Hu, Xiao, Ishigami, Junichi, Kou, Minghao, Lord, Katherine, Lu, Yifei, Marklund, Matti, Amezcua, Pablo Martinez, Mattingly, Joey, McArthur, Kristin, Miller, Edgar R., III, Neupane, Dinesh, Ogungbe, Bunmi, Pariyo, George, Pathak, Priya, Pilla, Scott, Rao, Krishna, Resnick, Carol, Riekert, Kristin, Sakulsaengprapha, Tangkwa, Scheiber, Simona, Shilkofski, Nicole, Tamplin, Steve, Tang, Olive, Zhao, Di, Campbell, Norman, Ogedegbe, Olugbenga, Di Pette, Donald, Brettler, Jeffrey, Connell, Kenneth, Kishore, Sandeep P., Huffman, Mark, Hutchinson, Brian, Abdalla, Marwa, Moran, Andrew E., and Gupta, Reena

Published
2023
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