Histone marks identify novel transcription factors that parse CAR-T subset-of-origin, clinical potential and expansion

Autor: S. Fiorenza, Y. Zheng, J. Purushe, T. J. Bock, J. Sarthy, D. H. Janssens, A. S. Sheih, E. L. Kimble, D. Kirchmeier, T. D. Phi, J. Gauthier, A. V. Hirayama, S. R. Riddell, Q. Wu, R. Gottardo, D. G. Maloney, J. Y. H. Yang, S. Henikoff, C. J. Turtle

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)

Abstract Chimeric antigen receptor-modified T cell (CAR-T) immunotherapy has revolutionised blood cancer treatment. Parsing the genetic underpinnings of T cell quality and CAR-T efficacy is challenging. Transcriptomics inform CAR-T state, but the nat

Externí odkaz: https://doaj.org/article/99952e45b80a494cbf0a1c52b7763252

GPU-HADVPPM4HIP V1.0: using the heterogeneous-compute interface for portability (HIP) to speed up the piecewise parabolic method in the CAMx (v6.10) air quality model on China's domestic GPU-like accelerator

Autor: K. Cao, Q. Wu, L. Wang, H. Guo, N. Wang, H. Cheng, X. Tang, D. Li, L. Liu, H. Wu

Publikováno v: Geoscientific Model Development, Vol 17, Pp 6887-6901 (2024)

Graphics processing units (GPUs) are becoming a compelling acceleration strategy for geoscience numerical models due to their powerful computing performance. In this study, AMD's heterogeneous-compute interface for portability (HIP) was implemented t

Externí odkaz: https://doaj.org/article/709cb756f179429db3fac47028b3f555

Using soil classification to improve interpretation of biological soil health indicators

Autor: K.A. Congreves, Q. Wu

Publikováno v: Geoderma, Vol 451, Iss , Pp 117085- (2024)

The concept of soil health recognizes soil as a living and dynamic natural system, a notion that aptly fits in the realm of biology. However, soil health tests and scoring tools are often dominated by indicators other than soil biology, such as soil

Externí odkaz: https://doaj.org/article/c57b8075a058488490430506e183a3f7

Charged-current non-standard neutrino interactions at Daya Bay

Autor: The Daya Bay collaboration, F. P. An, W. D. Bai, A. B. Balantekin, M. Bishai, S. Blyth, G. F. Cao, J. Cao, J. F. Chang, Y. Chang, H. S. Chen, H. Y. Chen, S. M. Chen, Y. Chen, Y. X. Chen, Z. Y. Chen, J. Cheng, Y.-C. Cheng, Z. K. Cheng, J. J. Cherwinka, M. C. Chu, J. P. Cummings, O. Dalager, F. S. Deng, X. Y. Ding, Y. Y. Ding, M. V. Diwan, T. Dohnal, D. Dolzhikov, J. Dove, K. V. Dugas, H. Y. Duyang, D. A. Dwyer, J. P. Gallo, M. Gonchar, G. H. Gong, H. Gong, W. Q. Gu, J. Y. Guo, L. Guo, X. H. Guo, Y. H. Guo, Z. Guo, R. W. Hackenburg, Y. Han, S. Hans, M. He, K. M. Heeger, Y. K. Heng, Y. K. Hor, Y. B. Hsiung, B. Z. Hu, J. R. Hu, T. Hu, Z. J. Hu, H. X. Huang, J. H. Huang, X. T. Huang, Y. B. Huang, P. Huber, D. E. Jaffe, K. L. Jen, X. L. Ji, X. P. Ji, R. A. Johnson, D. Jones, L. Kang, S. H. Kettell, S. Kohn, M. Kramer, T. J. Langford, J. Lee, J. H. C. Lee, R. T. Lei, R. Leitner, J. K. C. Leung, F. Li, H. L. Li, J. J. Li, Q. J. Li, R. H. Li, S. Li, S. C. Li, W. D. Li, X. N. Li, X. Q. Li, Y. F. Li, Z. B. Li, H. Liang, C. J. Lin, G. L. Lin, S. Lin, J. J. Ling, J. M. Link, L. Littenberg, B. R. Littlejohn, J. C. Liu, J. L. Liu, J. X. Liu, C. Lu, H. Q. Lu, K. B. Luk, B. Z. Ma, X. B. Ma, X. Y. Ma, Y. Q. Ma, R. C. Mandujano, C. Marshall, K. T. McDonald, R. D. McKeown, Y. Meng, J. Napolitano, D. Naumov, E. Naumova, T. M. T. Nguyen, J. P. Ochoa-Ricoux, A. Olshevskiy, J. Park, S. Patton, J. C. Peng, C. S. J. Pun, F. Z. Qi, M. Qi, X. Qian, N. Raper, J. Ren, C. Morales Reveco, R. Rosero, B. Roskovec, X. C. Ruan, B. Russell, H. Steiner, J. L. Sun, T. Tmej, W.-H. Tse, C. E. Tull, Y. C. Tung, B. Viren, V. Vorobel, C. H. Wang, J. Wang, M. Wang, N. Y. Wang, R. G. Wang, W. Wang, X. Wang, Y. F. Wang, Z. Wang, Z. M. Wang, H. Y. Wei, L. H. Wei, W. Wei, L. J. Wen, K. Whisnant, C. G. White, H. L. H. Wong, E. Worcester, D. R. Wu, Q. Wu, W. J. Wu, D. M. Xia, Z. Q. Xie, Z. Z. Xing, H. K. Xu, J. L. Xu, T. Xu, T. Xue, C. G. Yang, L. Yang, Y. Z. Yang, H. F. Yao, M. Ye, M. Yeh, B. L. Young, H. Z. Yu, Z. Y. Yu, B. B. Yue, V. Zavadskyi, S. Zeng, Y. Zeng, L. Zhan, C. Zhang, F. Y. Zhang, H. H. Zhang, J. L. Zhang, J. W. Zhang, Q. M. Zhang, S. Q. Zhang, X. T. Zhang, Y. M. Zhang, Y. X. Zhang, Y. Y. Zhang, Z. J. Zhang, Z. P. Zhang, Z. Y. Zhang, J. Zhao, R. Z. Zhao, L. Zhou, H. L. Zhuang, J. H. Zou

Publikováno v: Journal of High Energy Physics, Vol 2024, Iss 5, Pp 1-36 (2024)

Abstract The full data set of the Daya Bay reactor neutrino experiment is used to probe the effect of the charged current non-standard interactions (CC-NSI) on neutrino oscillation experiments. Two different approaches are applied and constraints on

Externí odkaz: https://doaj.org/article/700236ed60e54506a655d8f0edc7750f

Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques

Autor: J. Yu, Y. Li, D. Ge, Y. Chen, Q. Wu, Y. Ma

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 831-836 (2024)

Geometric correction, a pivotal step in the preprocessing of airborne remote sensing imagery, is critical for ensuring the accuracy of subsequent quantitative analyses. Achieving precise and efficient geometric correction for airborne hyperspectral d

Externí odkaz: https://doaj.org/article/8c4161efe1664a64bfddda5b60fc00c5