Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Bingkun Wang"'
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
BackgroundAtopic dermatitis (AD) is a chronic inflammatory skin condition affecting a significant portion of the population, with prevalence rates of 25% in children and 7–10% in adults. AD not only poses physical challenges but also profoundly imp
Externí odkaz:
https://doaj.org/article/7c19444429014984b70750feff28cf11
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The upper tropospheric water vapor is a key component of Earth's climate. Understanding variations in upper tropospheric water vapor and identifying its influencing factors is crucial for enhancing our comprehension of global climate change.
Externí odkaz:
https://doaj.org/article/bbe6588005744cb890a1ab20e46ff761
Autor:
Chenwei Tang, Hongkai Zhuang, Wentao Wang, Qingbin Wang, Xiaowu Ma, Bingkun Wang, Ziyu Zhang, Jiahao Jiang, Zhiqin Xie, Wenliang Tan, Lei Yang, Songyao Liu, Yonglin Hua, Yuxin Xiao, Baoshan Ding, Yajin Chen, Changzhen Shang
Publikováno v:
Cell Death and Disease, Vol 15, Iss 3, Pp 1-15 (2024)
Abstract Circular RNAs (circRNAs) have been implicated in tumorigenesis and progression of various cancers. However, the underlying mechanisms of circRNAs in hepatocellular carcinoma (HCC) have not been fully elucidated. Herein, a new oncogenic circR
Externí odkaz:
https://doaj.org/article/cc0e1d636b0c4c09af75550ab5b6f74f
Autor:
Chenwei Tang, Hongkai Zhuang, Huanjun Tong, Xiaopeng Yu, Jialu Chen, Qingbin Wang, Xiaowu Ma, Bingkun Wang, Yonglin Hua, Changzhen Shang, Zhaohui Tang
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Forkhead-box protein P1 (FOXP1) has been proposed to have both oncogenic and tumor-suppressive properties, depending on tumor heterogeneity. However, the role of FOXP1 in intrahepatic cholangiocarcinoma (ICC) has not been previous
Externí odkaz:
https://doaj.org/article/edc83ac894c54efa8562c2f01e2f90fb
Autor:
Bingkun Wang, Zheng Li, Huijuan Wu, Shan Zhang, Guanglin Zhang, Jinqiu Zhang, Shanshui Lian, Li Zheng, Zhongying Xue, Siwei Yang, Guqiao Ding, Wenwu Xu, Shiwei Tang, Gang Wang
Publikováno v:
Small Structures, Vol 5, Iss 3, Pp n/a-n/a (2024)
Surface‐enhanced Raman scattering (SERS) is a versatile spectroscopic technique, which plays a crucial role in enhancing analytical sensitivity, investigating interfacial reaction mechanisms, enabling biosensing, and fostering efficient catalysis.
Externí odkaz:
https://doaj.org/article/76e77ddb049d4cb5a6bba9945c28a287
Autor:
Hongkai Zhuang, Zedan Zhang, Bo Chen, Chenwei Tang, Xinming Chen, Wenliang Tan, Lei Yang, Zhiqin Xie, Xiaowu Ma, Qingbin Wang, Bingkun Wang, Changzhen Shang, Yajin Chen
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-18 (2023)
Abstract Hepatocellular carcinoma (HCC) has a desmoplastic and hypoxic tumor microenvironment (TME), resulting in poor prognosis and treatment resistance. This study aimed to construct a novel prognostic classifier to investigate the degree of hypoxi
Externí odkaz:
https://doaj.org/article/1c360d248b6544aca0016575ef4643bf
Publikováno v:
Drones, Vol 7, Iss 12, p 703 (2023)
In this paper, we examine potential methods for autonomously tracking and landing multi-rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous tracking and landing control technology utilizes visual navigation, relying sol
Externí odkaz:
https://doaj.org/article/0abc376b88b04acca7a29a06c6c68e4c
Publikováno v:
IEEE Access, Vol 8, Pp 145422-145434 (2020)
With the rapid growth of user-generated content, unsupervised methods that do not require label training data have gradually become a research focus in the field of sentiment classification and natural language processing. But the performance of unsu
Externí odkaz:
https://doaj.org/article/26733be7a6a5499496f5dcf634bf5ff4
Publikováno v:
Information, Vol 10, Iss 1, p 1 (2018)
With the explosive growth of product reviews, review rating prediction has become an important research topic which has a wide range of applications. The existing review rating prediction methods use a unified model to perform rating prediction on re
Externí odkaz:
https://doaj.org/article/3ceb0804be3345a09dec77e86dd0fda9
Publikováno v:
Applied Sciences, Vol 8, Iss 10, p 1849 (2018)
With the explosion of online user reviews, review rating prediction has become a research focus in natural language processing. Existing review rating prediction methods only use a single model to capture the sentiments of review texts, ignoring user
Externí odkaz:
https://doaj.org/article/ed1b43c5920b4409a3e13247765785d9