MP2: a momentum contrast approach for recommendation with pointwise and pairwise learning по Wang, M, Guo, Y, Zhao, Z, Hu, G, Shen, Y, Gong, M, Torr, P

Survivin-based recombinant overlapping peptides induce t lymphocyte cytotoxicity and prolong the survival in in vivo melanoma model по Zhang, Y, Zhou, Y, Gong, M, Zhang, Q, Zheng, Q, Shen, Y, Lu, W, Jiang, S

All-polymeric control of nanoferronics по Xu, B., Hall, A., Gao, W., Gong, M., Yuan, G., Ren, S., Li, Huashan, Grossman, Jeffrey C.

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Nanodiamond‐Assisted High Performance Lithium and Sodium Ions Co‐Storage по Sun, X, Gao, X, Su, C, Cheng, W, Gao, N, Zhang, X, Gong, M, Dong, H, Dai, Y, He, G, Li, H

SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants по Yang, Q, Sun, J, Wang, X, Wang, J, Liu, Q, Ru, J, Zhang, X, Wang, S, Hao, R, Bian, P, Dai, X, Gong, M, Zhang, Z, Wang, A, Bai, F, Li, R, Cai, Y, Jiang, Y

Demonstration of adiabatic variational quantum computing with a superconducting quantum coprocessor по Chen, M-C, Gong, M, Xu, X, Yuan, X, Wang, J-W, Wang, C, Ying, C, Lin, J, Xu, Y, Wu, Y, Wang, S, Deng, H, Liang, F, Peng, C-Z, Benjamin, SC, Zhu, X, Lu, C-Y, Pan, J-W

Experimental exploration of five-qubit quantum error-correcting code with superconducting qubits по Gong, M, Yuan, X, Wang, S, Wu, Y, Zhao, Y, Zha, C, Li, S, Zhang, Z, Zhao, Q, Liu, Y, Liang, F, Lin, J, Xu, Y, Deng, H, Rong, H, Lu, H, Benjamin, SC, Peng, C-Z, Ma, X, Chen, Y-A, Zhu, X, Pan, J-W

Characteristics and outcomes of COVID-19 patients with and without asthma from the United States, South Korea, and Europe по Morales, D, Ostropolets, A, Lai, L, Sena, A, Duvall, S, Suchard, M, Verhamme, K, Rjinbeek, P, Posada, J, Ahmed, W, Alshammary, T, Alghoul, H, Alser, O, Areia, C, Blacketer, C, Burn, E, Casajust, P, You, S, Dawoud, D, Golozar, A, Gong, M, Jonnagaddala, J, Lynch, K, Matheny, M, Minty, E, Nyberg, F, Uribe, A, Recalde, M, Reich, C, Scheumie, M, Shah, K, Shah, N, Schilling, L, Vizcaya, D, Zhang, L, Hripcsak, G, Ryan, P, Prieto-Alhambra, D, Durate-Salles, T, Kostka, K

Characteristics and outcomes of 627 044 COVID-19 patients living with and without obesity in the United States, Spain, and the United Kingdom по Recalde, M, Roel, E, Pistillo, A, Sena, AG, Prats-Uribe, A, Ahmed, W-U-R, Alghoul, H, Alshammari, TM, Alser, O, Areia, C, Burn, E, Casajust, P, Dawoud, D, DuVall, SL, Falconer, T, Fernández-Bertolín, S, Golozar, A, Gong, M, Lai, LYH, Lane, JCE, Lynch, KE, Matheny, ME, Mehta, PP, Morales, DR, Natarjan, K, Nyberg, F, Posada, JD, Reich, CG, Rijnbeek, P, Schilling, LM, Shah, K, Shah, NH, Subbian, V, Zhang, L, Zhu, H, Ryan, P, Prieto-Alhambra, D, Kostka, K, Duarte-Salles, T

COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries по Tan, EH, Sena, AG, Prats-Uribe, A, You, SC, Ahmed, W, Kostka, K, Reich, C, Duvall, SL, Lynch, KE, Matheny, ME, Duarte-Salles, T, Bertolin, SF, Hripcsak, G, Natarajan, K, Falconer, T, Spotnitz, M, Ostropolets, A, Blacketer, C, Alshammari, TM, Alghoul, H, Alser, O, Lane, JCE, Dawoud, DM, Shah, K, Yang, Y, Zhang, L, Areia, C, Golozar, A, Recalde, M, Casajust, P, Jonnagaddala, J, Subbian, V, Vizcaya, D, Lai, LYH, Nyberg, F, Morales, DR, Posada, JD, Shah, NH, Gong, M, Vivekanantham, A, Abend, A, Minty, EP, Suchard, M, Rijnbeek, P, Ryan, PB, Prieto-Alhambra, D

Characteristics and outcomes of over 300,000 patients with COVID-19 and history of cancer in the United States and Spain по Roel, E, Pistillo, A, Recalde, M, Sena, AG, Fernández-Bertolín,, S, Aragón, M, Puente, D, Ahmed, W-U-R, Alghoul, H, Alser, O, Alshammari, TM, Areia, C, Blacketer, C, Carter, W, Casajust, P, Culhane, AC, Dawoud, D, DeFalco, F, DuVall, SL, Falconer, T, Asieh, G, Gong, M, Hester, L, Hripcsak, G, Tan, EH, Hokyun, J, Jonnagaddala, J, Lai, LYH, Lynch, KE, Matheny, ME, Morales, DR, Natarajan, K, Nyberg, F, Ostropolets, A, Posada, JD, Prats-Uribe, A, Reich, CG, Rivera, D, Schilling, LM, Soerjomataram, I, Shah, K, Shah, N, Shen, Y, Spotniz, M, Subbian, V, Suchard, MA, Trama, A, Zhang, L, Zhang, Y, Ryan, P, Prieto Alhambra, D

Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS по Kostka, K, Duarte-Salles, T, Prats-Uribe, A, Sena, AG, Pistillo, A, Khalid, S, Lai, LYH, Golozar, A, Alshammari, TM, Dawoud, DM, Nyberg, F, Wilcox, AB, Andryc, A, Williams, A, Ostropolets, A, Areia, C, Jung, CY, Harle, CA, Reich, CG, Blacketer, C, Morales, DR, Dorr, DA, Burn, E, Roel, E, Tan, EH, Minty, E, DeFalco, F, de Maeztu, G, Lipori, G, Alghoul, H, Zhu, H, Thomas, JA, Bian, J, Park, J, Martínez Roldán, J, Posada, JD, Banda, JM, Horcajada, JP, Kohler, J, Shah, K, Natarajan, K, Lynch, KE, Liu, L, Schilling, LM, Recalde, M, Spotnitz, M, Gong, M, Matheny, ME, Valveny, N, Weiskopf, NG, Shah, N, Alser, O, Casajust, P, Park, RW, Schuff, R, Seager, S, DuVall, SL, You, SC, Song, S, Fernández-Bertolín, S, Fortin, S, Magoc, T, Falconer, T, Subbian, V, Huser, V, Ahmed, W-U-R, Carter, W, Guan, Y, Galvan, Y, He, X, Rijnbeek, PR, Hripcsak, G, Ryan, PB, Suchard, MA, Prieto-Alhambra, D