
Da Xu
Articles
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4 weeks ago |
onlinelibrary.wiley.com | Tiantian Wang |Xu Deng |Wei Shao |Da Xu
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description smll202500909-sup-0001-SuppMat.pdf38.5 MB Supporting Information References 1, , Renew. Sust. Energ. Rev. 2017, 69, 1170. 2, , , , , , ACS Nano 2023, 17, 11220. 3, , , , , , , , , , , , , , , Energy Environ. Sci. 2025, 18, 284. 4, , , , , , , , Adv. Funct. Mater. 2023, 33, 2213260. 5, , , , , , , , , Adv. Energy Mater. 2022, 12, 2201734. 6, , , , , Adv.
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Jan 7, 2025 |
cell.com | Lintao Song |Yushu Hou |Da Xu |Xijia Dai |Jianya Luo |Yi Liu | +18 more
Keywords FXR FGF4 bile acid homeostasis FGFR4-LRH-1 pathway cholestasis Introduction Bile acids (BAs) are vital for the digestion and absorption of lipophilic nutrients and also act as signaling molecules to regulate metabolic and energy homeostasis.1,2 Disruption in BA homeostasis or associated signaling pathways can lead to cholestasis, hepatobiliary damage, and metabolic disorders.3,4 BA homeostasis is maintained in part through negative feedback mechanisms and spatiotemporally controlled...
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Aug 16, 2023 |
mdpi.com | Mengyue Zhang |Shishun Zhao |Tao Hu |Da Xu
1. IntroductionCurrent status data generally arise in demographic, tumorigenic, and epidemiological fields [1,2,3]. One significant feature of the current status data is that the failure time cannot be accurately observed. On the contrary, it is known that the failure time is less than or greater than the observation or examination time. One common feature of studies that produce such data is that participants are only observed once, perhaps due to the limitation of resources.
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May 22, 2023 |
mdpi.com | Da Xu |Yunsong Li
Abstract:In the field of unmanned systems, cameras and LiDAR are important sensors that provide complementary information. However, the question of how to effectively fuse data from two different modalities has always been a great challenge. In this paper, inspired by the idea of deep fusion, we propose a one-stage end-to-end network named FusionPillars to fuse multisensor data (namely LiDAR point cloud and camera images).
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