Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yajie Xing"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Novel methodologies for introducing sulfoxonium groups into organic molecules are desirable. Here the authors report the synthesis of an iodonium-sulfoxonium ylide reagent that enables the preparation of sulfoxonium-containing cyclic structures upon
Externí odkaz:
https://doaj.org/article/c4a967369e794af197e47e168d846152
Autor:
Xu Chen, Yajie Xing, Qingyuan Mu, Hongjing Zhang, Ke Zhou, Xiaotian Yu, Haitao Hao, Yongqiang Li
Publikováno v:
The Journal of The Textile Institute. :1-9
Publikováno v:
Nature communications. 13(1)
The development of novel methodologies for the introduction of the sulfoxonium group under mild conditions is appealing but remains underexplored. Herein we report the synthesis of a class of hypervalent iodine reagents with a transferrable sulfoxoni
Autor:
Weiguo Zuo, Shunbin Yang, Yajie Xing, Xiwen Xiao, Duona Fan, Hengyu Li, Guanqun Wang, Bin Qin, Song You, Xian Jia
Publikováno v:
Dalton transactions (Cambridge, England : 2003). 51(17)
Three mixed porphyrins, icpp (1–3), were synthesized via the reactions of 4-formylbenzoic acid and 4-imidazolecarboxaldehyde, and then five amorphous or crystalline Zr-MOFs—SPUZ (1–5) were obtained from icpp (1–3), timp and tcpp, respectively
Publikováno v:
Materials, Vol 14, Iss 5916, p 5916 (2021)
Materials
Volume 14
Issue 20
Materials
Volume 14
Issue 20
A new type of Janus cellulose acetate (CA) fiber membrane was used to separate oil–water emulsions, which was prepared with plasma gas phase grafting by polymerizing octamethylcyclotetrasiloxane (D4) onto a CA fiber membrane prepared by centrifugal
Publikováno v:
ICIP
Semantic Scene Completion (SSC) aims to simultaneously predict the volumetric occupancy and semantic category of a 3D scene. In this paper, we propose a real-time semantic scene completion method with a feature aggregation strategy and conditioned pr
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585280
ECCV (19)
ECCV (19)
Depth data provide geometric information that can bring progress in RGB-D scene parsing tasks. Several recent works propose RGB-D convolution operators that construct receptive fields along the depth-axis to handle 3D neighborhood relations between p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a1e43203f6679e7c718ab9864dd2237
https://doi.org/10.1007/978-3-030-58529-7_33
https://doi.org/10.1007/978-3-030-58529-7_33
Publikováno v:
ICIP
Convolutional neural networks (CNN) have achieved great success in RGB semantic segmentation. RGB-D images provide additional depth information, which can improve segmentation performance. To take full advantages of the 3D geometry relations provided
Publikováno v:
ICIP
In RGB-D semantic segmentation tasks, it has been shown that HHA embeddings effectively encode rich depth features and using HHA together with RGB images can improve segmentation performance. In this paper, we propose a novel method to effectively in
Publikováno v:
ICPR
Deep convolutional neural networks (CNNs) have gained their reputation for the success in various tasks in computer vision, including salient objects detection. However, it remains a challenge that the CNNs have repeated downsample operators and alwa