Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ruixin Xue"'
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e36901- (2024)
The distribution and diversity of woody vegetation are crucial for understanding the structure and ecology of urban forests. As urbanization accelerates, the construction and composition of urban forests vary significantly along the urban-rural gradi
Externí odkaz:
https://doaj.org/article/f97f53b6dbf641d0b09740ab040e5447
Autor:
Yipin Lv, Pei Liu, Ruixin Xue, Qiudi Guo, Jinyu Ye, Daowei Gao, Guangce Jiang, Shiju Zhao, Lixia Xie, Yunlai Ren, Pengfang Zhang, Yao Wang, Yuchen Qin
Publikováno v:
Advanced Science, Vol 11, Iss 19, Pp n/a-n/a (2024)
Abstract Designing high efficiency platinum (Pt)‐based catalysts for methanol oxidation reaction (MOR) with high “non‐CO” pathway selectivity is strongly desired and remains a grand challenge. Herein, PtRuNiCoFeGaPbW HEA ultrathin nanowires (
Externí odkaz:
https://doaj.org/article/b354e924e4de40ea915861300ad368ce
Publikováno v:
Ecological Indicators, Vol 160, Iss , Pp 111915- (2024)
Wilderness has proven to provide a wide range of ecosystem services (ES). Wilderness have been shown to play an important role in preserving biodiversity and providing ES, which is indispensable to both nature and people. It is essential to integrate
Externí odkaz:
https://doaj.org/article/afd8b34ec7b044e0a93aaa7ff91fa18a
Publikováno v:
Foods, Vol 13, Iss 4, p 618 (2024)
The new tea cultivar Ziyan has a high content of anthocyanin and ester catechins in the raw material, but the conventional processing and application methods are limited. To explore its application potential, the freeze-drying method was used to prep
Externí odkaz:
https://doaj.org/article/731ac2721c3f43afa56a94adc0d53229
Publikováno v:
Journal of Computational Science. 71:102055
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab1bbf8427391d66adb5745dc7c48598
https://doi.org/10.1016/j.jocs.2023.102055
https://doi.org/10.1016/j.jocs.2023.102055
Autor:
Lei Yu, Binsheng Li, Ruixin Xue, Qiushi Wang, Xishi Tai, Lili Liu, Yanao Zhang, Tingting Zhou, Yipin Lv, Daowei Gao
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9860d30a823a75e9965b5f0dfda9c92
https://doi.org/10.2139/ssrn.4088652
https://doi.org/10.2139/ssrn.4088652
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8df462c3e9eb71d0518c3b41fb0abaf4
https://doi.org/10.1007/978-3-031-15919-0_5
https://doi.org/10.1007/978-3-031-15919-0_5
Publikováno v:
Chemical Engineering Journal. 454:140055
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15ca6d74accea05a862e02ea65d2d523
https://doi.org/10.1016/j.cej.2022.140055
https://doi.org/10.1016/j.cej.2022.140055
Publikováno v:
NEWCAS
Training the neural networks on chip, which enables the local privacy data to be stored and processed at edge platforms, is earning vital importance with the explosive growth of Internet of Things (IoT). Although the on-chip training has been widely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c1c1722a5e413ce1dc233cc9fcd745
https://doi.org/10.1109/newcas49341.2020.9159767
https://doi.org/10.1109/newcas49341.2020.9159767