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Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013

H. Wang, C. Liddell, M. Coates, M. Mooney, C. Levitz, A. Schumacher, H. Apfel, M. Iannarone, B. Phillips, K. Lofgren, L. Sandar, R. Dorrington, I. Rakovac, T. Jacobs, X. Liang, M. Zhou, J. Zhu, G. Yang, Y. Wang, S. Liu, Y. Li, A. Ozgoren, S. Abera, I. Abubakar, T. Achoki, A. Adelekan, Z. Ademi, Z. Alemu, P. Allen, M. AlMazroa, E. Alvarez, A. Amankwaa, A. Amare, W. Ammar, P. Anwari, S. Cunningham, M. Asad, R. Assadi, A. Banerjee, S. Basu, N. Bedi, T. Bekele, M. Bell, Z. Bhutta, J. Blore, B. Basara, S. Boufous, N. Breitborde, N. Bruce, L. Bui, J. Carapetis, R. Cárdenas, D. Carpenter, V. Caso, R. Castro, F. Catalá-Lopéz, A. Cavlin, X. Che, P. Chiang, R. Chowdhury, C. Christophi, T. Chuang, M. Cirillo, I. da Costa Leite, K. Courville, L. Dandona, R. Dandona, A. Davis, A. Dayama, K. Deribe, S. Dharmaratne, M. Dherani, U. Dilmen, E. Ding, K. Edmond, S. Ermakov, F. Farzadfar, S. Fereshtehnejad, D. Fijabi, N. Foigt, M. Forouzanfar, A. Garcia, J. Geleijnse, B. Gessner, K. Goginashvili, P. Gona, A. Goto, H. Gouda, M. Green, K. Greenwell, H. Gugnani, R. Gupta, R. Hamadeh, M. Hammami, H. Harb, S. Hay, M. Hedayati, H. Hosgood, D. Hoy, B. Idrisov, F. Islami, S. Ismayilova, V. Jha, G. Jiang, J. Jonas, K. Juel, E. Kabagambe, D. Kazi, A. Kengne, M. Kereselidze, Y. Khader, S. Khalifa, Y. Khang, D. Kim, Y. Kinfu, J. Kinge, Y. Kokubo, S. Kosen, B. Defo, G. Kumar, K. Kumar, R. Kumar, T. Lai, Q. Lan, A. Larsson, J. Lee, M. Leinsalu, S. Lim, S. Lipshultz, G. Logroscino, P. Lotufo, R. Lunevicius, R. Lyons, S. Ma, A. Mahdi, M. Marzan, M. Mashal, T. Mazorodze, J. McGrath, Z. Memish, W. Mendoza, G. Mensah, A. Meretoja, T. Miller, E. Mills, K. Mohammad, A. Mokdad, L. Monasta, M. Montico, A. Moore, J. Moschandreas, W. Msemburi, U. Mueller, M. Muszynska, M. Naghavi, K. Naidoo, K. Narayan, C. Nejjari, M. Ng, J. de Dieu Ngirabega, M. Nieuwenhuijsen, L. Nyakarahuka, T. Ohkubo, S. Omer, A. Caicedo, V. Wyk, D. Pope, F. Pourmalek, D. Prabhakaran, S. Rahman, S. Rana, R. Reilly, D. Rojas-Rueda, L. Ronfani, L. Rushton, M. Saeedi, J. Salomon, U. Sampson, I. Santos, M. Sawhney, J. Schmidt, M. Shakh-Nazarova, J. She, S. Sheikhbahaei, K. Shibuya, H. Shin, K. Shishani, I. Shiue, I. Sigfusdottir, J. Singh, V. Skirbekk, K. Sliwa, S. Soshnikov, L. Sposato, V. Stathopoulou, K. Stroumpoulis, K. Tabb, R. Talongwa, C. Teixeira, A. Terkawi, A. Thomson, A. Thorne-Lyman, H. Toyoshima, Z. Dimbuene, P. Uwaliraye, S. Uzun, T. Vasankari, A. Vasconcelos, V. Vlassov, S. Vollset, S. Waller, X. Wan, S. Weichenthal, E. Weiderpass, R. Weintraub, R. Westerman, J. Wilkinson, H. Williams, Y. Yang, G. Yentur, P. Yip, N. Yonemoto, M. Younis, C. Yu, K. Jin, M. El Sayed Zaki, S. Zhu, T. Vos, A. Lopez, and C. Murray. The Lancet, 384 (9947): 957--979 (September 2014)
DOI: 10.1016/s0140-6736(14)60497-9

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Shiwei Shi

Shiwei Tu

Shiwei Huang

Shiwei Guo

Shiwei Wang

Other publications of authors with the same name

Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware.S. Liu, D. Mocanu, A. Matavalam, Y. Pei, and M. Pechenizkiy. CoRR, (2019)Radiative Effects and Costing Assessment of Arctic Sea Ice Albedo Changes.H. Hao, B. Su, S. Liu, and W. Zhuo. Remote. Sens., 15 (4): 970 (February 2023)A brain-inspired algorithm for training highly sparse neural networks.Z. Atashgahi, J. Pieterse, S. Liu, D. Mocanu, R. Veldhuis, and M. Pechenizkiy. Mach. Learn., 111 (12): 4411-4452 (2022)Efficient and effective training of sparse recurrent neural networks.S. Liu, I. Ni'mah, V. Menkovski, D. Mocanu, and M. Pechenizkiy. Neural Comput. Appl., 33 (15): 9625-9636 (2021)Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers.S. Liu, and Z. Wang. CoRR, (2023)Dynamic Sparsity Is Channel-Level Sparsity Learner.L. Yin, G. Li, M. Fang, L. Shen, T. Huang, Z. Wang, V. Menkovski, X. Ma, M. Pechenizkiy, and S. Liu. CoRR, (2023)The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need.T. Huang, T. Chen, Z. Wang, and S. Liu. CoRR, (2023)The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter.A. Jaiswal, S. Liu, T. Chen, and Z. Wang. CoRR, (2023)A Modified A Posteriori Subcell Limiter for High Order Flux Reconstruction Scheme for One-Dimensional Detonation Simulation.S. Liu, and L. Yuan. J. Sci. Comput., 97 (2): 31 (November 2023)Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis.J. Liu, X. Zhou, H. Tang, F. Yan, S. Liu, X. Tang, Z. Ding, K. Jiang, and P. Yu. Int. J. Digit. Earth, 16 (1): 2941-2961 (December 2023)

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Disambiguation of "Liu, Shiwei"