Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Yangfan Liu"'
Autor:
Yangfan Liu, Yu Sun, Jin Yang, Deyang Wu, Shuang Yu, Junjiang Liu, Tao Hu, Jingjing Luo, Hongmei Zhou
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-26 (2024)
Abstract Background The faithful maintenance of DNA methylation homeostasis indispensably requires DNA methyltransferase 1 (DNMT1) in cancer progression. We previously identified DNMT1 as a potential candidate target for oral squamous cell carcinoma
Externí odkaz:
https://doaj.org/article/71a91d65a3334640996696f963def6c6
Publikováno v:
Satellite Navigation, Vol 5, Iss 1, Pp 1-16 (2024)
Abstract Underwater acoustic Long-Baseline System (LBL) is an important technique for submarine positioning and navigation. However, the high cost of the seafloor equipment and complex construction of a seafloor network restrict the distribution of t
Externí odkaz:
https://doaj.org/article/ca3f6722dadb470398655e9cb7f2fd88
Autor:
Büsra Atamer Balkan, You Chang, Martijn Sparnaaij, Berend Wouda, Doris Boschma, Yangfan Liu, Yufei Yuan, Winnie Daamen, Mart C M de Jong, Colin Teberg, Kevin Schachtschneider, Reina S Sikkema, Linda van Veen, Dorine Duives, Quirine A Ten Bosch
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011956 (2024)
SARS-CoV-2 transmission in indoor spaces, where most infection events occur, depends on the types and duration of human interactions, among others. Understanding how these human behaviours interface with virus characteristics to drive pathogen transm
Externí odkaz:
https://doaj.org/article/5c95fffa2f3544b182409bea8904d18f
Autor:
Yangfan Liu, Lene Jung Kjær, Anette Ella Boklund, Charlotte Kristiane Hjulsager, Lars Erik Larsen, Carsten Thure Kirkeby
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Exploring the risk factors of avian influenza (AI) occurrence helps us to monitor and control the disease. Since late 2020, the number of avian influenza outbreaks in domestic and wild birds has increased in most European countries, including Denmark
Externí odkaz:
https://doaj.org/article/2424a9f21bd547e7b2ed46212c30fec7
Autor:
Yongjie Zhuang, Yangfan Liu
Publikováno v:
Acoustics, Vol 5, Iss 3, Pp 746-758 (2023)
In commercial non-adaptive active noise control (ANC) applications, an IIR filter structure is often used to reduce real-time computations. On the contrary, an FIR filter structure is usually preferred in the filter design phase because the FIR filte
Externí odkaz:
https://doaj.org/article/934dfda166944919851d94c41ed00bce
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 3, p 480 (2024)
Underwater sound speed is one of the most significant factors that affects high-accuracy underwater acoustic positioning and navigation. Due to its complex temporal variation, the forecasting of the underwater sound speed field (SSF) becomes a challe
Externí odkaz:
https://doaj.org/article/33e67b19ea194b36a3f541c305e6d667
Autor:
Yangfan LIU, Di WANG, Chunsheng LI, Huan XIANG, Shengjun CHEN, Xianqing YANG, Laihao LI, Jianchao DENG
Publikováno v:
Shipin gongye ke-ji, Vol 43, Iss 23, Pp 168-175 (2022)
In order to explore the types of dominant spoilage biogenic amine-producing bacteria in skipjack tuna, three dominant bacteria were screened from refrigerated skipjack tuna. The strains were identified by 16S rDNA molecular identification technology,
Externí odkaz:
https://doaj.org/article/525a7c6d54e94cf783277c8346611da2
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4985 (2023)
In the task of classifying high-altitude flying objects, due to the limitations of the target flight altitude, there are issues such as insufficient contour information, low contrast, and fewer pixels in the target objects obtained through infrared d
Externí odkaz:
https://doaj.org/article/6a91dd331f5f43d3b9dc14af88fee8c6
Autor:
Ping Hu, Yuntao Li, Yangfan Liu, Geng Guo, Xu Gao, Zhongzhou Su, Long Wang, Gang Deng, Shuang Yang, Yangzhi Qi, Yang Xu, Liguo Ye, Qian Sun, Xiaohu Nie, Yanqi Sun, Mingchang Li, Hongbo Zhang, Qianxue Chen
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
BackgroundTimely and accurate prediction of delayed cerebral ischemia is critical for improving the prognosis of patients with aneurysmal subarachnoid hemorrhage. Machine learning (ML) algorithms are increasingly regarded as having a higher predictio
Externí odkaz:
https://doaj.org/article/a00718e5f2ae45e48219518ed585af35
Autor:
Ping Hu, Yangfan Liu, Yuntao Li, Geng Guo, Zhongzhou Su, Xu Gao, Junhui Chen, Yangzhi Qi, Yang Xu, Tengfeng Yan, Liguo Ye, Qian Sun, Gang Deng, Hongbo Zhang, Qianxue Chen
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
BackgroundsAs a most widely used machine learning method, tree-based algorithms have not been applied to predict delayed cerebral ischemia (DCI) in elderly patients with aneurysmal subarachnoid hemorrhage (aSAH). Hence, this study aims to develop the
Externí odkaz:
https://doaj.org/article/c3a89447d4184b2fb2616ee87de8e794