Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Hongfu Liu"'
Autor:
Hongfu Liu, Dongdong Zhou, Dongqin Liu, Xi Xu, Kai Zhang, Ruxia Hu, Peng Xiong, Changxin Wang, Xiangfu Zeng, Liefeng Wang, Shuyong Zhang
Publikováno v:
Cell Death and Disease, Vol 15, Iss 3, Pp 1-13 (2024)
Abstract Colorectal cancer (CRC) is the third most common cancer associated with a poor prognosis. Effective targeted therapy alone or in combination for treating advanced CRC remains to be a major clinical challenge. Here, we propose the therapeutic
Externí odkaz:
https://doaj.org/article/3198a1e7a948466c9bb43980cd43ecf9
Autor:
Yuan Xia, Dan Wang, Huijie Zhao, Tingyi Meng, Qingling Jiang, Zhaohai Pan, Guoli Wang, Tianyue An, Bohan Li, Sixue Bi, Huikai Wang, Jun Lu, Hongfu Liu, Haiyan Lin, Chunhua Lin, Qiusheng Zheng, Defang Li
Publikováno v:
Pharmacological Research, Vol 207, Iss , Pp 107327- (2024)
Evidence shows that tropomodulin 1 (TMOD1) is a powerful diagnostic marker in the progression of several cancer types. However, the regulatory mechanism of TMOD1 in tumor progression is still unclear. Here, we showed that TMOD1 was highly expressed i
Externí odkaz:
https://doaj.org/article/03950e4f790f411a80587bc4b9bf27d5
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
To study the real internal strain response of asphalt pavement and provide crucial data for optimizing pavement design. By burying the fiber grating sensors on site, the strain tests of four asphalt pavement structures under different working conditi
Externí odkaz:
https://doaj.org/article/4ca37dabef6d4f45bb5ff4ef6c05812e
Publikováno v:
Electronics Letters, Vol 59, Iss 19, Pp n/a-n/a (2023)
Abstract CsiNet, a deep neural network framework, utilizes an autoencoder to efficiently transmit downlink channel state information (CSI) in the feedback link, which reduces the cost of feedback, and significantly improves the quality of the reconst
Externí odkaz:
https://doaj.org/article/cf03338b1fc147e49b506f50f8561771
Publikováno v:
Foods, Vol 12, Iss 21, p 4044 (2023)
The consumption patterns of university students hold the power to significantly influence market trends. This study illuminates the escalating emphasis on animal welfare in these students’ purchasing choices, specifically concerning milk products.
Externí odkaz:
https://doaj.org/article/c044db8f2bf74c03b2406df55495ba56
Autor:
Mingyan Fu, Jia Yang, Xiaorui Sun, Wei Tian, Guihua Yin, Sheng Tian, Mingdan Tan, Hongfu Liu, Xiaofeng Xing, Huisheng Huang
Publikováno v:
ACS Omega, Vol 6, Iss 41, Pp 27297-27304 (2021)
Externí odkaz:
https://doaj.org/article/2a1414af78b444e384aa8e118b75a9b7
Autor:
Bingbing Xu, Ruijun Wang, Zhiying Wang, Hongfu Liu, Zhen Wang, Weihang Zhang, Yanjun Zhang, Rui Su, Zhihong Liu, Yongbin Liu, Jinquan Li, Jiaxin Zhang
Publikováno v:
Frontiers in Veterinary Science, Vol 9 (2022)
The current study aimed to detect the relationship between the spermatozoa cryotolerance and the post-thawed sperm lipidome. Ejaculates from 20 goats, and performed a uniform frozen-thawed procedure in this study. According to the total motility of t
Externí odkaz:
https://doaj.org/article/5c2449de7bad49b69c329fb9c73cf2b1
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
Modern war is highly dependent on intelligent, unmanned combat systems. Since many intelligent, unmanned combat systems have network attributes, it is meaningful to research combat systems from the perspective of complex network. Heterogeneous networ
Externí odkaz:
https://doaj.org/article/b6035b8cd7f44b078cf6c942cf6e7557
Autor:
Lei Zhang, Fenghong Wang, Lingtian Zhang, Fengting Zhang, Hongfu Liu, Libing He, Jinquan Li, Rui Su
Publikováno v:
Czech Journal of Animal Science, Vol 66, Iss 6, Pp 211-216 (2021)
Horns are unique cranial appendages in ruminants, and horn traits are useful in the indirect selection of growth traits in goat. However, genetic parameters for horns have not been estimated in Inner Mongolia Cashmere goats. In this study, we collect
Externí odkaz:
https://doaj.org/article/393d53c089d146218a9f773da11a62e5
Autor:
Carmine Emanuele Cella, Luke Jonathan Dzwonczyk, Alejandro Saldarriaga-Fuertes, Hongfu Liu, Hélène-Camille Crayencour
Publikováno v:
Journal of Creative Music Systems, Vol JCMS Special Issue of the first Conference on AI Music Creativity, Iss 1 (2022)
In this paper we will perform a preliminary exploration on how neural networks can be used for the task of target-based computer-assisted musical orchestration. We will show how it is possible to model this musical problem as a classification task an
Externí odkaz:
https://doaj.org/article/ffc9ea577b144fcb9a5ec5d872ebbe9f