Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Hongda Tian"'
Autor:
Ziyue Wang, Cuicui Wu, Jinren Liu, Shunxin Hu, Junli Yu, Qiangqiamg Yin, Hongda Tian, Zhipeng Ding, Guiqiang Qi, Li Wang, Liguo Hao
Publikováno v:
Drug Delivery, Vol 30, Iss 1, Pp 28-39 (2023)
AbstractSorafenib (SRF) presents undesirable effects in clinical treatment, due to the lack of targeting, poor water solubility, and obvious side effects. In this study, we constructed a novel nanodrug carrier system for accurate and efficient delive
Externí odkaz:
https://doaj.org/article/5d70968094b2475a8e76863b637545d2
Autor:
Jinren Liu, Changzhi Guo, Chunxiang Li, Qiushi Jia, Zhengrong Xie, Ziyue Wang, Hongda Tian, Zhongyuan Li, Liguo Hao
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
The nano drug delivery system MnO2/CDDP@PDA-Cy5.5 was synthesized in this study to increase the efficacy of Cisplatin (CDDP) on thyroid cancer and alleviate the damage to normal tissue, with the aim of enhancing the anti-cancer efficacy, increasing t
Externí odkaz:
https://doaj.org/article/c00affcaa0ea492088caf1221c3142ad
Autor:
Qiang Liu, Song Chen, Liguo Hao, Chunxiang Li, Hongda Tian, Hongqian Gu, Zhongtao Li, Lei Wang, Zhongyuan Li
Publikováno v:
Journal of Radiation Research and Applied Sciences, Vol 15, Iss 2, Pp 143-148 (2022)
To prepare USPIO-PEG-Cy5.5 targeted bimodal probe for noninvasive diagnosis of thyroid cancer. The characterization was verified, and the physical and chemical properties were discussed. Fe3O4 was used as the carrier. Fluorescent Cy5.5 was linked wit
Externí odkaz:
https://doaj.org/article/6d65dd794d5a45e88b634bd5664e8543
Autor:
Qiangqiang Yin, Guiqiang Qi, Shengchao Wang, Hongda Tian, Xiaolong Gao, Zhichen Zhang, Liguo Hao
Publikováno v:
Biochemical and Biophysical Research Communications. 664:86-93
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5be1023a244f0bc53951eb9d88aa912
https://doi.org/10.1016/j.bbrc.2023.04.071
https://doi.org/10.1016/j.bbrc.2023.04.071
Autor:
Ziyue Wang, Cuicui Wu, Jinren Liu, Shunxin Hu, Junli Yu, Qiangqiamg Yin, Hongda Tian, Zhipeng Ding, Guiqiang Qi, Li Wang, Liguo Hao
Publikováno v:
Drug Delivery. 30:28-39
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::561699ec1975c56e7a51ca8cce6ead81
https://doi.org/10.1080/10717544.2022.2149897
https://doi.org/10.1080/10717544.2022.2149897
Publikováno v:
Advances in Data Science and Analytics. :39-65
It is critical to continuously maintain the high quality of drinking water in water distribution network management. However, it remains challenging to predict water demand and optimize dosage to ensure safe drinking water. This paper details solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fd8a21490255c80dc9c07ed511c0965
https://doi.org/10.1002/9781119792826.ch3
https://doi.org/10.1002/9781119792826.ch3
Human activity recognition based on sensors (e.g., accelerometer and gyroscope) embedded in smartphones is of great significance for many applications under uncontrolled environments. Although significant progress has been noticed in this field, one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfe0876afaf941658329a1143ce2f124
https://hdl.handle.net/10453/156560
https://hdl.handle.net/10453/156560
Publikováno v:
Contrast Media & Molecular Imaging; 12/30/2022, p1-8, 8p
These days deep learning methods play a pivotal role in complicated tasks, such as extracting useful features, segmentation, and semantic classification of images. These methods had significant effects on flower types classification during recent yea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e22d1565e2d7d610122451c000382e
https://hdl.handle.net/10453/158211
https://hdl.handle.net/10453/158211
Multi-label image classification aims to predict the labels associated with a given image. While most existing methods utilize unified image representations, extracting label-specific features through input space learning would improve the discrimina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f2126f7c5879e39f55f12d3abefbea1
https://hdl.handle.net/10453/146693
https://hdl.handle.net/10453/146693