Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Hanqing Yang"'
Autor:
Shichao Yang, Caden Hu, Xiaomei Chen, Yi Tang, Juanjuan Li, Hanqing Yang, Yi Yang, Binwu Ying, Xue Xiao, Shang‑Ze Li, Li Gu, Yahui Zhu
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-21 (2024)
Abstract It is generally recognized that tumor cells proliferate more rapidly than normal cells. Due to such an abnormally rapid proliferation rate, cancer cells constantly encounter the limits of insufficient oxygen and nutrient supplies. To satisfy
Externí odkaz:
https://doaj.org/article/0d1187fe97aa4c898e8fbb879b6881f6
Publikováno v:
Journal of Infrastructure Preservation and Resilience, Vol 5, Iss 1, Pp 1-9 (2024)
Abstract As a new concrete crack patching technology, microbial self-healing slurries offer favourable characteristics including non-pollution, ecological sustainability and good compatibility with concrete. In this paper, a nano-sio2-modified microb
Externí odkaz:
https://doaj.org/article/adb8a514a66f40dba5951cd24d32b5e5
Autor:
Shian Yu, Yu Yang, Hanqing Yang, Long Peng, Zhipeng Wu, Liang Sun, Zhengyi Wu, Xuzhe Yu, Xiangbao Yin
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract The transcription factor BarH-like homeobox 2 (BARX2), a member of the Bar-like homeobox gene family, is involved in cell proliferation, differentiation, immune responses and tumorigenesis. However, the potential role of BARX2 in the develop
Externí odkaz:
https://doaj.org/article/2b09ab46d8654d46b927f5d3a6c88b56
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4325 (2024)
In the realm of Intelligent Transportation Systems (ITSs), traffic flow prediction is crucial for multiple applications. The primary challenge in traffic flow prediction lies in the handling and modeling of the intricate spatial–temporal correlatio
Externí odkaz:
https://doaj.org/article/5a9ab47e768a4f0292ca17b43a9b00e7
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 4, Pp 91-96 (2023)
Reconfigurable antennas have been widely employed for beam scanning in recent years. However, such antennas are usually limited by narrow bandwidth. To overcome this challenge, we present a linearly polarized 2-bit ultra-wideband (UWB) antenna array
Externí odkaz:
https://doaj.org/article/341b5060db9c4271b962d983dcd2cf37
Publikováno v:
Tongxin xuebao, Vol 43, Pp 3-12 (2022)
Traditional information metasurfaces can be used in wireless relay systems to control the propagation direction of electromagnetic waves due to their capability to control the amplitude and phase.However, owing to the lack of signal amplification fun
Externí odkaz:
https://doaj.org/article/ceea3039b0a54e9e974bcd10622fdf7f
Autor:
Zheng Xing Wang, Hanqing Yang, Ruiwen Shao, Jun Wei Wu, Guobiao Liu, Feng Zhai, Qiang Cheng, Tie Jun Cui
Publikováno v:
Engineering, Vol 17, Iss , Pp 64-74 (2022)
Inspired by the design philosophy of information metasurfaces based on the digital coding concept, a planar 4-bit reconfigurable antenna array with low profile of 0.15λ0 (where λ0 is the free-space wavelength) is presented. The array is based on a
Externí odkaz:
https://doaj.org/article/be42302d0a29482eb3e679d235b425f1
Publikováno v:
IET Cyber-systems and Robotics, Vol 5, Iss 2, Pp n/a-n/a (2023)
Abstract The task of few‐shot object detection is to classify and locate objects through a few annotated samples. Although many studies have tried to solve this problem, the results are still not satisfactory. Recent studies have found that the cla
Externí odkaz:
https://doaj.org/article/f99edfa9c73d410da09d442db28eb907
Publikováno v:
IET Cyber-systems and Robotics, Vol 4, Iss 2, Pp 97-106 (2022)
Abstract Model‐based gait recognition with skeleton data input has attracted more attention in recent years. The model‐based gait recognition methods take skeletons constructed by body joints as input, which are invariant to changing carrying and
Externí odkaz:
https://doaj.org/article/ee382378ad414c9e865f03675256e8f1
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 7, Iss 1, Pp 162-171 (2021)
Externí odkaz:
https://doaj.org/article/801cf34162474b75b6948085b2cee93c