
Zhenzhen Wang
Articles
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1 week ago |
nature.com | Zhenzhen Wang |Joshua Gardner |Xiaoli Meng
AbstractSevere cutaneous adverse drug reactions (SCARs) are life-threatening diseases, which are associated with human leukocyte antigen (HLA) risk variants. However, the low positive predictive values of HLA variants suggest additional factors influence disease susceptibility. Using dapsone hypersensitivity syndrome (DHS) as a paradigm for SCARs, we show that the DHS patients harbor a sex-related global reduction in blood NK cells, contributing to the higher incidence of reactions in females.
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2 months ago |
dx.doi.org | Zhenzhen Wang |Shuangyan Qiao |Meng Ma |Ting Li
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2 months ago |
mdpi.com | Guoliang Chen |Guiqi Wang |Zhenzhen Wang |Lijun Wang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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2 months ago |
jpt.spe.org | Zhenzhen Wang |Bicheng Yan |Quang Nguyen |Xue Guo
This year’s History Matching and Forecasting selections highlight innovations in surrogate modeling, artificial intelligence, and well-test analysis. These three papers leverage machine learning and hybrid methods to tackle challenges in forecasting, optimization, and reservoir characterization. In paper SPE 220002, the authors introduce the embed-to-control observe (E2CO) framework, a deep-learning surrogate model for reservoir performance forecasting and life-cycle optimization.
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Mar 17, 2025 |
advanced.onlinelibrary.wiley.com | Yulong Xia |Processing Wuhan |Xiaozhuang Zhou |Zhenzhen Wang
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adma202416744-sup-0001-SuppMat.docx7.3 MB Supporting Information adma202416744-sup-0002-VideoS1.mp45.7 MB Supplemental Video 2 adma202416744-sup-0003-VideoS2.mp47.5 MB Supplemental Video 3 adma202416744-sup-0004-VideoS3.mp45.9 MB Supplemental Video 4 References 1, , Sports. Med. 2007, 37, 737. 2, , , Annu. Rev. Biomed. Eng. 2006, 8, 455. 3, , J. Biomech.
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