Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Shuohang Wang"'
Autor:
Yuewei Zhang, Ning Zhang, Shuohang Wang, Qi Zan, Xiaodong Wang, Qianqian Yang, Xue Yu, Chuan Dong, Li Fan
Publikováno v:
The Analyst. 147:1695-1701
Lipid droplets (LDs) have recently been reported as an attractive target for cancer diagnosis and treatment, owing to their special structure or microenvironment changes in cancer development and resistance. However, the relationship between the biot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::396579744d554b725fc066c031a515da
https://doi.org/10.1039/d2an00030j
https://doi.org/10.1039/d2an00030j
Autor:
Yuewei Zhang, Shuohang Wang, Ning Zhang, Xiaodong Wang, Qi Zan, Li Fan, Xue Yu, Shaomin Shuang, Chuan Dong
Publikováno v:
Materials Chemistry Frontiers. 6:333-340
We report the first single AIEgen that has great potential for dual-imaging of mitochondria/LDs, detection of cell viability and simultaneously photodynamic ablation of cancer cells.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::568544fc0b9905dd26650a009b42410e
https://doi.org/10.1039/d1qm01270c
https://doi.org/10.1039/d1qm01270c
Publikováno v:
Analytical and Bioanalytical Chemistry. 413:3823-3831
Heat stroke is a fatal condition which usually results in central nervous system dysfunction, organism damage and even death. The relationship between heat stroke and mitochondria is still relatively unknown due to a lack of suitable tools. Herein, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8ab2ca85d686c5dd09464218c687418
https://doi.org/10.1007/s00216-021-03335-2
https://doi.org/10.1007/s00216-021-03335-2
Autor:
Chuan Dong, Shuohang Wang, Li Fan, Qi Zan, Xiaodong Wang, Wenjuan Dong, Shaomin Shuang, Yuewei Zhang
Publikováno v:
Chinese Journal of Chemistry. 39:1303-1309
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7c53fbe170338f54975fb24cd6c17dc
https://doi.org/10.1002/cjoc.202000725
https://doi.org/10.1002/cjoc.202000725
Publikováno v:
RSC Advances. 10:41802-41806
An efficient and highly diastereoselective synthesis of 2-substituted benzo[b]azepin-5-ol via stereocontrolled addition of Grignard reagents to oxa-bridged benzazepines has been developed. The reaction proceeds efficiently starting from versatile ske
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::344b2adf9f95693ec7634254c2d50a39
https://doi.org/10.1039/d0ra08758k
https://doi.org/10.1039/d0ra08758k
Autor:
Li Fan, Qi Zan, Xiaodong Wang, Xue Yu, Shuohang Wang, Yuewei Zhang, Qianqian Yang, Wenjing Lu, Shaomin Shuang, Chuan Dong
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d2afb9565a75b701f029f4b38a83013
https://doi.org/10.2139/ssrn.4063729
https://doi.org/10.2139/ssrn.4063729
Autor:
Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
Retrieval-based methods have been shown to be effective in NLP tasks via introducing external knowledge. However, the indexing and retrieving of large-scale corpora bring considerable computational cost. Surprisingly, we found that REtrieving from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ca10425df50bdfdfe3c2a02bb8828fd
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects. First, we lack QA datasets covering complex ques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64fa0fc38fe5a9181c36eb8affad3ba
http://arxiv.org/abs/2109.10604
http://arxiv.org/abs/2109.10604
Data annotation is a time-consuming and labor-intensive process for many NLP tasks. Although there exist various methods to produce pseudo data labels, they are often task-specific and require a decent amount of labeled data to start with. Recently,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3cbeef977ed11d75774020fd3278e1e
http://arxiv.org/abs/2108.13487
http://arxiv.org/abs/2108.13487
Publikováno v:
CVPR
Vision-and-language pre-training has achieved impressive success in learning multimodal representations between vision and language. To generalize this success to non-English languages, we introduce UC2, the first machine translation-augmented framew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91629086451cb36277132d650aecd687
https://doi.org/10.1109/cvpr46437.2021.00414
https://doi.org/10.1109/cvpr46437.2021.00414