Zobrazeno 1 - 10
of 378
pro vyhledávání: '"WenJian Zhang"'
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 1, Pp 1-6 (2024)
The extra-interfacial manifestations induced by the waveguide resonance properties of monolayer colloidal crystals (MCCs) have been well discovered by symmetrically probing their reflectance spectra. To clearly analyze the origin of the resonance pea
Externí odkaz:
https://doaj.org/article/3d9b02f0be3847eca7537cab0b9cc780
Autor:
Jilin Yang, Junlin Qian, Zhao Wu, Wenjian Zhang, Zexin Yin, Wei Shen, Kun He, Yongzhu He, Liping Liu
Publikováno v:
Cancer Medicine, Vol 13, Iss 3, Pp n/a-n/a (2024)
Abstract Objective To investigate the influencing factors affecting the occurrence of microvascular invasion (MVI) and the prognosis of hepatocellular carcinoma (HCC) patients treated with hepatectomy, and to explore how MVI affects prognosis in subg
Externí odkaz:
https://doaj.org/article/3d724a85d9ab4a36bd53d2c2ad031db5
Publikováno v:
Clinical Medicine Insights: Oncology, Vol 18 (2024)
Background: Hepatocellular carcinoma (HCC) patients have a poor prognosis after radio-frequency ablation (RFA), and investigating the risk factors affecting RFA and establishing predictive models are important for improving the prognosis of HCC patie
Externí odkaz:
https://doaj.org/article/cd6cd586b00c4a588bb48153ff72f074
Autor:
Zhao Wu, Lifeng Cui, Junlin Qian, Laihui Luo, Shuju Tu, Fei Cheng, Lebin Yuan, WenJian Zhang, Wei Lin, Hongtao Tang, Xiaodong Li, Hui Li, Yang Zhang, Jisheng Zhu, Yong Li, Yuanpeng Xiong, Zemin Hu, Peng Peng, Yongzhu He, Liping Liu, Kun He, Wei Shen
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background The survival benefit of adjuvant transarterial chemoembolization (TACE) in patients with hepatectomy for hepatocellular carcinoma (HCC) after hepatectomy remains controversial. We aimed to investigate the survival efficacy of adju
Externí odkaz:
https://doaj.org/article/cfe9dc10692d46f69242bfc8917fcb2a
Publikováno v:
Sensors, Vol 24, Iss 7, p 2052 (2024)
Multi-frame super-resolution (MFSR) leverages complementary information between image sequences of the same scene to increase the resolution of the reconstructed image. As a branch of MFSR, burst super-resolution aims to restore image details by leve
Externí odkaz:
https://doaj.org/article/b9eef6f0fb17426080dee0b89975aa3d
Publikováno v:
Remote Sensing, Vol 16, Iss 6, p 1108 (2024)
Infrared small target detection plays a crucial role in both military and civilian systems. However, current detection methods face significant challenges in complex scenes, such as inaccurate background estimation, inability to distinguish targets f
Externí odkaz:
https://doaj.org/article/e3d2e1895554442895e23202333a3e61
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 880 (2024)
Transformer models have great potential in the field of remote sensing super-resolution (SR) due to their excellent self-attention mechanisms. However, transformer models are prone to overfitting because of their large number of parameters, especiall
Externí odkaz:
https://doaj.org/article/767652c7455f44ad8db580dcc0e3aa9c
Publikováno v:
Journal of International Medical Research, Vol 51 (2023)
Abstract Objective To simulate hysteroscopic suturing in vitro and analyze the learning curve of gynecologists with different experience levels. Methods Three gynecologists were trained on uterine models in a circulating water box. The posterior uter
Externí odkaz:
https://doaj.org/article/fb8d8e75b53e463fb401ce677289e6cc
Autor:
Qiangnu Zhang, Weibin Hu, Lingfeng Xiong, Jin Wen, Teng Wei, Lesen Yan, Quan Liu, Siqi Zhu, Yu Bai, Yuandi Zeng, Zexin Yin, Jilin Yang, Wenjian Zhang, Meilong Wu, Yusen Zhang, Gongze Peng, Shiyun Bao, Liping Liu
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 3987-3998 (2023)
Mining gene expression data is valuable for discovering novel biomarkers and therapeutic targets in hepatocellular carcinoma (HCC). Although emerging data mining tools are available for pan-cancer–related gene data analysis, few tools are dedicated
Externí odkaz:
https://doaj.org/article/e48e85807c4a418a96032159b74ac9fc
Autor:
Wenjian Zhang, Xinyi Chen, Yingying Xing, Jingqiu Chen, Lanpeng Guo, Qing Huang, Huayao Li, Huan Liu
Publikováno v:
Molecules, Vol 29, Iss 1, p 5 (2023)
The demand for the ubiquitous detection of gases in complex environments is driving the design of highly specific gas sensors for the development of the Internet of Things, such as indoor air quality testing, human exhaled disease detection, monitori
Externí odkaz:
https://doaj.org/article/dd0886b4caf74d0c9ef9ff6b9eab5725