MP2: a momentum contrast approach for recommendation with pointwise and pairwise learning od 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 od Zhang, Y, Zhou, Y, Gong, M, Zhang, Q, Zheng, Q, Shen, Y, Lu, W, Jiang, S

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

Dokumenty pełnotekstowe
Dokumenty pełnotekstowe

Nanodiamond‐Assisted High Performance Lithium and Sodium Ions Co‐Storage od 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 od 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 od 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 od 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 od 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 od 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 od 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 od 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 od 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