Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Boxuan Sun"'
Autor:
Yinghui Wang, Yihang Xie, Boxuan Sun, Yuwei Guo, Ling Song, Dawit Eman Mohammednur, Chunyan Zhao
Publikováno v:
Infectious Agents and Cancer, Vol 16, Iss 1, Pp 1-11 (2021)
Abstract Background Cervical cancers are closely associated with persistent high-risk human papillomaviruses (HR HPV) infection. The main mechanism involves the targeting of tumor suppressors, such as p53 and pRB, for degradation by HR HPV-encoded on
Externí odkaz:
https://doaj.org/article/a167057f4e0841a08570ef05100c5939
Publikováno v:
IET Computer Vision, Vol 14, Iss 8, Pp 642-649 (2020)
Unsupervised domain adaption aims to reduce the divergence between the source domain and the target domain. The final objective is to learn domain‐invariant features from both domains that get the minimised expected error on the target domain. The
Externí odkaz:
https://doaj.org/article/ea5b106688204c2f88e80cfaf3082c58
Publikováno v:
Drug Delivery, Vol 25, Iss 1, Pp 862-871 (2018)
Polymer nanoparticles modified with collagen peptides (CPs) are an attractive strategy for the oral delivery of active ingredients from Chinese medicine. Thus, in the present study, collagen cationic CPs were simply separated using ion-exchange resin
Externí odkaz:
https://doaj.org/article/6f10edc4c22d439dbb5ee5666090ca63
Publikováno v:
Chemical Communications; 5/4/2024, Vol. 60 Issue 36, p4818-4821, 4p
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1765d237377f151acf8ea2a8bda831e7
https://doi.org/10.1109/tgrs.2022.3147028
https://doi.org/10.1109/tgrs.2022.3147028
Autor:
Xuyu Wang, Boxuan Sun, Cong Wang, Xiaojuan Bai, Shanshan Hou, Shengqi Yang, Xiongwei Lu, Tianqi Jia
Publikováno v:
CrystEngComm. 23:1366-1376
Recently, π-conjugated polymers (CPs) applied to graphitic carbon nitride (g-C3N4) with high crystallinity have received great attention for removing organic pollutants. Herein, we propose that doping oxygen atoms into the g-C3N4 skeleton can improv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95c1b1e885f1729697c43bf814f5bc93
https://doi.org/10.1039/d0ce01776k
https://doi.org/10.1039/d0ce01776k
Publikováno v:
Catalysis Science & Technology. 11:3787-3798
Perylene diimide (PDI) has unique properties for the photodegradation of pharmaceutical and personal care products (PPCPs), but still shows some disadvantages in terms of its microstructure tunability and photocatalytic activity. Herein, a PDI supram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6edf1b21b7d4a71aeb676b3192f52f34
https://doi.org/10.1039/d1cy00538c
https://doi.org/10.1039/d1cy00538c
Autor:
Shanshan Hou, Ruilong Zong, Boxuan Sun, Xiaojuan Bai, Xuyu Wang, Xiongwei Lu, Cong Wang, Tianqi Jia
Publikováno v:
New Journal of Chemistry. 45:9334-9345
Inspired by electric field engineering applied to photocatalysts, herein, the synergy of highly crystalline and surface polarization electric field generated by introducing fluorine (F) atoms in graphitic carbon nitride (g-C3N4) played a crucial role
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7cea628f85e91a9a00e5d8e96eafa94
https://doi.org/10.1039/d1nj00668a
https://doi.org/10.1039/d1nj00668a
Autor:
Tianqi Jia, Xiaojuan Bai, Haiyan Li, Junqi Li, Boxuan Sun, Di Li, Shengqi Yang, Xuyu Wang, Cong Wang
Publikováno v:
Catalysis Science & Technology. 11:1899-1913
Pharmaceutical and personal care products (PPCPs) are the most common hazardous environmental pollutants. Accordingly, PDI anion radicals are promising photocatalysts to transform PPCPs into non-toxic CO2 and H2O for their clean and efficient product
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21fe9407f5bf0a421e6d5de57b0e25a7
https://doi.org/10.1039/d0cy01982h
https://doi.org/10.1039/d0cy01982h
Publikováno v:
IET Computer Vision. 14:642-649
Unsupervised domain adaption aims to reduce the divergence between the source domain and the target domain. The final objective is to learn domain-invariant features from both domains that get the minimised expected error on the target domain. The di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38837533c4b84ab2b17b663efeee4062
https://doi.org/10.1049/iet-cvi.2019.0514
https://doi.org/10.1049/iet-cvi.2019.0514