Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Guoqian Zhao"'
Autor:
Licai Ren, Xudong Pan, Yang Deng, Zhengkang Ge, Shiyuan Li, Dong Su, Guoqian Zhao, Hui Tang, Xiangfei Wang
Publikováno v:
Horticulturae, Vol 10, Iss 11, p 1203 (2024)
Nitrogen and sulfur are essential macronutrients in plant growth and development, and their interaction profoundly influences gene expression, metabolic activities, and adaptability in plants, directly affecting plant growth and yield. Garlic (Allium
Externí odkaz:
https://doaj.org/article/dbfd3f2ac4f8465bb476a990977494fd
Autor:
Jie Li, Kun Qian, Jinyong Liu, Zhijun Huang, Yuchen Zhang, Guoqian Zhao, Huifen Wang, Meng Li, Xiaohan Liang, Fang Zhou, Xiuying Yu, Lan Li, Xingsong Wang, Xianfeng Yang, Qing Jiang
Publikováno v:
Journal of Orthopaedic Translation, Vol 34, Iss , Pp 91-101 (2022)
Objective: Meniscus tear is a common problem in sports trauma, and its imaging diagnosis mainly relies on MRI. To improve the diagnostic accuracy and efficiency, a deep learning model was employed in this study and the identification efficiency was e
Externí odkaz:
https://doaj.org/article/1e3ac4ded15145ae9318e77dfaad696e
Publikováno v:
Carbon. 183:291-300
In this work, we proposed a facile chemical etching/pyrolysis strategy to prepare multi-heteroatoms doped yolk-shell porous carbon by using common ZIF-8 as the precursor and phytic acid as the etching agent. The as-prepared porous carbon was composed
Publikováno v:
Acta radiologica (Stockholm, Sweden : 1987).
Background Prior studies have detected topological changes of brain functional networks in patients with acute mild traumatic brain injury (mTBI). However, the alterations of dynamic topological characteristics in mTBI have been scarcely elucidated.
Autor:
Jie Li, Kun Qian, Jinyong Liu, Zhijun Huang, Yuchen Zhang, Guoqian Zhao, Huifen Wang, Meng Li, Xiaohan Liang, Fang Zhou, Xiuying Yu, Lan Li, Xingsong Wang, Xianfeng Yang, Qing Jiang
ObjectiveThe meniscus tear is a common problem in sports trauma. The imaging diagnosis mainly depends on the MRI. To improve the diagnostic accuracy and efficiency, a deep learning model was employed in this study and the identification efficiency ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64c36335860ee7e2769ca2674bd62231
https://doi.org/10.1101/2022.01.11.22269112
https://doi.org/10.1101/2022.01.11.22269112
Publikováno v:
Analytica chimica acta. 1152
In this work, ultrasmall Au nanoparticles decorated bimetallic metal-organic framework (US Au NPs@AuZn-MOF) hybrids were facilely prepared by a sequential ion exchange and in-situ chemical reduction strategy. Numerous of Au nanoparticles with size le
Publikováno v:
Sensors and Actuators B: Chemical. 313:128038
Compared with extensively-used chemically-exfoliated graphene, physically-exfoliated graphene-based heterogeneous structures are rarely used for electrochemical analysis. In this work, physically-exfoliated graphene nanosheets (GN) are used as the su