Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Li M Chen"'
Autor:
Huiwen Luo, Michelle K. Sigona, Thomas J. Manuel, Marshal A. Phipps, Li M. Chen, Charles F. Caskey, William A. Grissom
Publikováno v:
Magnetic Resonance in Medicine. 88:2419-2431
To rapidly image and localize the focus in MR-guided focused ultrasound (FUS) while maintaining a low ultrasound duty cycle to minimize tissue effects.MR-acoustic radiation force imaging (ARFI) is key to targeting FUS procedures such as neuromodulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca9029755c03b01f430f3e3682ffee59
https://doi.org/10.1002/mrm.29403
https://doi.org/10.1002/mrm.29403
Publikováno v:
Frontiers in Physics, Vol 5 (2017)
Introduction: Glycogen is the primary intracellular storage form of carbohydrates. In contrast to most tissues where stored glycogen can only supply the local tissue with energy, hepatic glycogen is mobilized and released into the blood to maintain a
Externí odkaz:
https://doaj.org/article/8ee676222f544290b6ebdd1c9fbd469e
Autor:
Chan J Zhang, De Z Qiu, Zhong L Yang, Xiao J. Zhang, Feng Zhang, Shui L Chen, Zhi H Shan, Rong Li, Yong Q Jiao, Xin J Shen, Xin A Zhou, Wei Guo, Jing S Chen, Qing N Hao, Wen J Dai, Hai F. Chen, Song L. Yuan, Qing B You, Dong Cao, Ze Y Li, Li M Chen
Publikováno v:
Plant Molecular Biology. 103:253-267
A novel QTL (qSCN-PL10) for SCN resistance and related candidate genes were identified in the soybean variety Pingliang xiaoheidou, and plant basal immunity seems to contribute to the SCN resistance. Soybean cyst nematode (SCN, Heterodera glycines Ic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caa837b9a672cbb93a6f219ffb6efb76
https://doi.org/10.1007/s11103-020-00990-4
https://doi.org/10.1007/s11103-020-00990-4
Autor:
Chan J Zhang, Song L. Yuan, Rong Li, Zhi H Shan, Xin A Zhou, Xiao J. Zhang, Zhong L Yang, De Z Qiu, Qing N Hao, Li M Chen, Shui L Chen, Hai F. Chen
Publikováno v:
Scientific Reports
Nodule development directly affects nitrogen fixation efficiency during soybean growth. Although abundant genome-based information related to nodule development has been released and some studies have reported the molecular mechanisms that regulate n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b538a1977d5f138ab63b4e1f057620a8
https://doi.org/10.1038/srep42248
https://doi.org/10.1038/srep42248
Autor:
Li M. Chen1,2,3,4 (AUTHOR), Xin A. Zhou1,2 (AUTHOR) zhouocri@sina.com, Wen B. Li4,5 (AUTHOR) wenbinli@yahoo.com, Wei Chang4,5 (AUTHOR), Rong Zhou1,2 (AUTHOR), Cheng Wang1,2 (AUTHOR), Ai H. Sha1,2 (AUTHOR), Zhi H. Shan1,2 (AUTHOR), Chan J. Zhang1,2 (AUTHOR), De Z. Qiu1,2 (AUTHOR), Zhong L. Yang1,2 (AUTHOR), Shui L. Chen1,2 (AUTHOR)
Publikováno v:
BMC Genomics. 2013, Vol. 14 Issue 1, p687-705. 19p. 1 Color Photograph, 3 Charts, 8 Graphs.
This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structu
Autor:
Li M. Chen
This book provides comprehensive coverage of the modern methods for geometric problems in the computing sciences. It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tr
Autor:
Li M. Chen
Publikováno v:
Mathematical Problems in Data Science ISBN: 9783319251257
Classical data processing uses pattern recognition methods such as classification for categorizing data. Such a method may involve a learning process. Modern data science also uses topological methods to find the structural features of data sets. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3291349d5794909c2039f83736ef9705
https://doi.org/10.1007/978-3-319-25127-1_6
https://doi.org/10.1007/978-3-319-25127-1_6
Autor:
Li M. Chen
Publikováno v:
Digital and Discrete Geometry ISBN: 9783319120980
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d718606cdd7a60ccb4a48562c592466e
https://doi.org/10.1007/978-3-319-12099-7_1
https://doi.org/10.1007/978-3-319-12099-7_1