Zobrazeno 1 - 10
of 383
pro vyhledávání: '"Yuntian, Chen"'
Autor:
Yanfeng Tang, Junru Chen, Mengxin Zhang, Xu Hu, Jingjing Guo, Yaowen Zhang, Yuntian Chen, Haoyang Liu, Junjie Zhao, Ni Chen, Guangxi Sun, Hao Zeng
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-6 (2024)
Abstract The WHO’s classification of renal cell carcinoma (RCC) has identified loss of SMARCB1 as one of the driven mutations. Despite intensive postoperative interventions, the prognosis for SMARCB1-deficient medullary RCC remains poor, indicating
Externí odkaz:
https://doaj.org/article/ed51d6d3a3bd4e599bb4921492826f9b
Autor:
Sihuan Wei, Alan D. Ziegler, Yingzuo Qin, Dashan Wang, Yuntian Chen, Jinyue Yan, Zhenzhong Zeng
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-10 (2024)
Abstract Photovoltaic (PV) panel deployment for decarbonization may reduce local terrestrial albedo, triggering a positive radiative forcing that counteracts the desired negative radiative forcing from carbon emission reductions. Yet, this potential
Externí odkaz:
https://doaj.org/article/b97ea20c39d2470482f3215b3281c8b8
Publikováno v:
Zhongguo linchuang yanjiu, Vol 37, Iss 8, Pp 1238-1243 (2024)
Objective To investigate the feasibility and clinical value of the deep learning reconstruction (DLR) algorithm in enhancing image quality and reducing scan time in shoulder MRI. Methods Fifty patients suspected of having shoulder joint lesions in th
Externí odkaz:
https://doaj.org/article/15ee7a1e44ad4c299b244cbb7bf6b703
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Purpose To evaluate the diagnostic performance of image-based artificial intelligence (AI) studies in predicting muscle-invasive bladder cancer (MIBC). (2) To assess the reporting quality and methodological quality of these studies by Checkl
Externí odkaz:
https://doaj.org/article/890b673e66f643c5b818da15a828caf7
Autor:
Junjie Zhao, Xiuyi Pan, Zilin Wang, Yuntian Chen, Dingbang Liu, Yu Shen, Xinyuan Wei, Chenhao Xu, Xingming Zhang, Xu Hu, Junru Chen, Jinge Zhao, Bo Tang, Guangxi Sun, Pengfei Shen, Zhenhua Liu, Hao Zeng, Jiayu Liang
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-19 (2024)
Abstract Background A substantial proportion of patients with metastatic clear cell renal cell carcinoma (ccRCC) cannot derive benefit from immune checkpoint inhibitor (ICI) plus anti-angiogenic agent combination therapy, making identification of pre
Externí odkaz:
https://doaj.org/article/ef7222936c4e46d2af55356092940bf1
Autor:
Junjie Zhao, Yanfeng Tang, Xu Hu, Xiaoxue Yin, Yuntian Chen, Junru Chen, Haoyang Liu, Haolin Liu, Jiayu Liang, Xingming Zhang, Jinge Zhao, Sha Zhu, Yuchao Ni, Zhipeng Wang, Jindong Dai, Zilin Wang, Yaowen Zhang, Jin Yao, Ni Chen, Pengfei Shen, Zhenhua H. Liu, Hao Zeng, Guangxi X. Sun
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-8 (2024)
Abstract Background TFE3-rearranged renal cell carcinoma (TFE3-rRCC) is a rare but highly heterogeneous renal cell carcinoma (RCC) entity, of which the clinical treatment landscape is largely undefined. This study aims to evaluate and compare the eff
Externí odkaz:
https://doaj.org/article/8761ee784f6546b4b5bcfbd5e5b36e68
Publikováno v:
Environment International, Vol 192, Iss , Pp 108997- (2024)
Accurate air quality forecasting is crucial for public health, environmental monitoring and protection, and urban planning. However, existing methods fail to effectively utilize multi-scale information, both spatially and temporally. There is a lack
Externí odkaz:
https://doaj.org/article/807f5c3e44404df998bd6e9d5bed7a1e
Autor:
Xueqing Cheng, Yuntian Chen, Jinshun Xu, Diming Cai, Zhenhua Liu, Hao Zeng, Jin Yao, Bin Song
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives To develop and validate a predictive model based on clinical features and multiparametric magnetic resonance imaging (mpMRI) to reduce unnecessary systematic biopsies (SBs) in biopsy-naïve patients with suspected prostate cancer
Externí odkaz:
https://doaj.org/article/74d409e8aebe42409c5257351fe44703
Publikováno v:
Frontiers of Optoelectronics, Vol 16, Iss 1, Pp 1-12 (2023)
Abstract In this paper, we develop an efficient and accurate procedure of electromagnetic multipole decomposition by using the Lebedev and Gaussian quadrature methods to perform the numerical integration. Firstly, we briefly review the principles of
Externí odkaz:
https://doaj.org/article/fa59d29cf4324f8a827ad0e9e52bed9c
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103584- (2024)
Global horizontal irradiance (GHI) plays a vital role in estimating solar energy resources, which are used to generate sustainable green energy. In order to estimate GHI with high spatial resolution, a quantitative irradiance estimation network, name
Externí odkaz:
https://doaj.org/article/a589d0d4772041328596392dbd8540f3