Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Xinyang Song"'
Autor:
Tao Yang, Tian Li, Yingying Xing, Mengtao Cao, Mingxiang Zhang, Qibin Leng, Ju Qiu, Xinyang Song, Jianfeng Chen, Guohong Hu, Youcun Qian
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Oral tolerance is essential for intestinal homeostasis and systemic immune function. However, our understanding of how oral tolerance is maintained is inadequate. Here we report that food-derived nucleic acids promote oral tolerance through
Externí odkaz:
https://doaj.org/article/cc16735579ad4689a5db74eae0ce6314
Autor:
Ting Zhang, Wanyue Chen, Ran Li, Lili Xu, Yunhui Shen, Xinyang Song, Tingting Kuang, Zhang Wang
Publikováno v:
Journal of Ethnobiology and Ethnomedicine, Vol 20, Iss 1, Pp 1-14 (2024)
Abstract Background The famous Tang Dynasty monk Yi Jing travelled to ancient India in 671 AD, visited more than 30 regions and returned to China in 695 AD. He wrote Nanhai Jigui Neifa Zhuan, which he completed in 691 AD. It describes the basic rules
Externí odkaz:
https://doaj.org/article/e6da3c5e296a473f8303b479ce284371
Publikováno v:
Gut Microbes, Vol 16, Iss 1 (2024)
Commensal microorganisms in the human gut produce numerous metabolites by using small molecules derived from the host or diet as precursors. Host or dietary lipid molecules are involved in energy metabolism and maintaining the structural integrity of
Externí odkaz:
https://doaj.org/article/7ef81a742d6747aabb34e972c0985c21
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7089-7103 (2024)
Remote sensing change detection (CD) networks have been increasingly powerful with the application of convolutional neural networks (CNNs) and transformers. The CNN-based CD method with a CNN backbone has been widely used and plays an significant rol
Externí odkaz:
https://doaj.org/article/7d4a1b8a4a874edb83be79c3d3a710f7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1377-1389 (2024)
Remote sensing image change detection (CD) has witnessed remarkable performance improvements with the guidance of deep learning models, particularly convolutional neural networks and transformers. Current CD methods heavily rely on multilayered backb
Externí odkaz:
https://doaj.org/article/2b3192a9fa5549caad72974f93b08fe7
GMTS: GNN-based multi-scale transformer siamese network for remote sensing building change detection
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1685-1706 (2023)
With the remarkable success of change detection (CD) in remote sensing images in the context of deep learning, many convolutional neural network (CNN) based methods have been proposed. In the current research, to obtain a better context modeling meth
Externí odkaz:
https://doaj.org/article/58107589c7d64524b87206bb8215a5ea
Autor:
Bin Bao, Youyuan Wang, Pavl Boudreau, Xinyang Song, Meng Wu, Xi Chen, Izabel Patik, Ying Tang, Jodie Ouahed, Amit Ringel, Jared Barends, Chuan Wu, Emily Balskus, Jay Thiagarajah, Jian Liu, Michael R. Wessels, Wayne Isaac Lencer, Dennis L. Kasper, Dingding An, Bruce Harold Horwitz, Scott B. Snapper
Publikováno v:
Cellular and Molecular Gastroenterology and Hepatology, Vol 18, Iss 2, Pp 101350- (2024)
Background & Aims: Gut bacterial sphingolipids, primarily produced by Bacteroidetes, have dual roles as bacterial virulence factors and regulators of the host mucosal immune system, including regulatory T cells and invariant natural killer T cells. P
Externí odkaz:
https://doaj.org/article/ebe59fd22bdd4d17a31e6bcf11e820ec
Autor:
Tao Yang, Guodong Wang, Mingxiang Zhang, Xiaohu Hu, Qi Li, Fenglin Yun, Yingying Xing, Xinyang Song, Haibing Zhang, Guohong Hu, Youcun Qian
Publikováno v:
Cell Reports, Vol 42, Iss 11, Pp 113377- (2023)
Summary: ZBP1 senses viral Z-RNAs to induce necroptotic cell death to restrain viral infection. ZBP1 is also thought to recognize host cell-derived Z-RNAs to regulate organ development and tissue inflammation in mice. However, it remains unknown how
Externí odkaz:
https://doaj.org/article/d9ce3c12964e4a4497d84d11113718a9
Autor:
Lei Hu, Caixia Fu, Xinyang Song, Robert Grimm, Heinrich von Busch, Thomas Benkert, Ali Kamen, Bin Lou, Henkjan Huisman, Angela Tong, Tobias Penzkofer, Moon Hyung Choi, Ivan Shabunin, David Winkel, Pengyi Xing, Dieter Szolar, Fergus Coakley, Steven Shea, Edyta Szurowska, Jing-yi Guo, Liang Li, Yue-hua Li, Jun-gong Zhao
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL-CAD systems are vulnerable to high heterogeneities in DWI, which can
Externí odkaz:
https://doaj.org/article/981403f31e4c4f1e9fbc9078f839b110
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8442-8455 (2022)
Remote sensing change detection (CD) is to use multitemporal remote sensing data to extract change information by using a variety of image processing and pattern recognition methods, and quantitatively analyze and determine the characteristics and pr
Externí odkaz:
https://doaj.org/article/808a20352da347ceb7a27bb9e2e6712d