Zobrazeno 1 - 10
of 3 364
pro vyhledávání: '"HUANG Liping"'
Autor:
CHEN Wumei (陈伍梅), FENG Cuilian (冯翠莲), HUANG Liping (黄丽萍), LI Yongjun (黎拥军), HUANG Danting (黄丹婷), TAN Yuting (谭玉婷)
Publikováno v:
中西医结合护理, Vol 9, Iss 12, Pp 107-112 (2023)
Objective To investigate the effect of PRECEDE-based nursing combined with individualized exercise guidance on pulmonary function and exercise capacity in patients with pulmonary tuberculosis. Methods Totally 90 patients with pulmonary tuberculosis w
Externí odkaz:
https://doaj.org/article/7e885eb0a87e4f53bb684715a0c91d4b
Autor:
ZHANG Lixin, BAI Dingqun, BAI Yulong, CHEN Wenhua, CHEN Yan, DU Qing, FAN Maohua, HE Hongchen, HUANG Liping, JIA Jie, LI Jianhua, LI Lei, PAN Yu, SU Min, WANG Hongtu, YIN Yong, ZHANG Bi
Publikováno v:
康复学报, Vol 33, Pp 383-396 (2023)
With the gradual increase in the application of lower limb robots in motor function rehabilitation, there is a need to standardize the clinical application of lower limb rehabilitation robots in China. This consensus integrates the characteristics of
Externí odkaz:
https://doaj.org/article/19e289ec4c8241609495627dcb54b292
Autor:
LIANG Ruihui, ZHONG Xin, HONG Du, HUANG Liping, WU Yiming, ZHAO Fangxia, NIU Yaran, ZHANG Zhenzhong, ZHENG Xuebin
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 4, Pp 37-44 (2023)
Rare-earth silicate environmental barrier coatings（EBCs）are important materials for the application in hot end components of new generation high thrust-to-weight ratio aero engines. However, the rare-earth silicate top layer is prone to form long
Externí odkaz:
https://doaj.org/article/d0a4371306104157a1864b56045f178a
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 2485-2494 (2023)
To solve the problems in the construction of the internal quality assurance system in some colleges and universities, such as the difficulty in forming the quality culture, the imperfection of the system construction, and the insufficiency of the inf
Externí odkaz:
https://doaj.org/article/d8dc23660a4744489da64d098129f670
Publikováno v:
Hypertension in Pregnancy, Vol 42, Iss 1 (2023)
Background Hypertensive disorders in pregnancy (HDPs) are the leading causes of maternal and perinatal death worldwide, and appropriate prenatal care is beneficial toward improve pregnancy outcomes in populations at high risk of preeclampsia. Objecti
Externí odkaz:
https://doaj.org/article/546f8634310e4d878515ca09b2adf362
Autor:
Huang Liping, Deng Liantang, Wang Ruichun, Zhuang Zhaorong, Jiang Yuan, Xu Zhifang, Zhu Lijuan, Zhang Jin, Wang Lili, Yu Fei, Sun Qin, Wang Dan, Wang Hao, Zhou Feifei, Xu Guoqiang
Publikováno v:
应用气象学报, Vol 33, Iss 6, Pp 641-654 (2022)
To meet the requirement of numerical weather prediction for local severe convective weather, especially disastrous weather and extreme weather events, based on GRAPES-MESO 10 km system, many works have been completed, which include improving the calc
Externí odkaz:
https://doaj.org/article/d8fd0c53cbba45beb136d5087151b439
With the rapid development of artificial intelligence (AI), large language models (LLMs) such as GPT-4 have garnered significant attention in the scientific community, demonstrating great potential in advancing scientific discovery. This progress rai
Externí odkaz:
http://arxiv.org/abs/2407.08922
Autor:
Sarkar, Subrato, Rahul, Rahul, Majee, Bishnu Pada, Bryce, Keith, Zhang, Lucy, Huang, Liping, Lian, Jie, De, Suvranu
The fracture characteristics of LuPO4 rare-earth phosphate environmental barrier coating (EBC) material under molten calcium-magnesium aluminosilicate (CMAS) corrosion is quantified. EBCs are crucial for protecting SiC-based ceramic matrix composite
Externí odkaz:
http://arxiv.org/abs/2407.01780
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 235, Iss 1, Pp 147-149 (2019)
C18H20N2O2, monoclinic, C2/c (no. 15), a = 27.5693(13) Å, b = 8.3005(4) Å, c = 16.8797(8) Å, β = 127.0225(12)°, V = 3084.0(3) Å3, Z = 8, Rgt(F) = 0.0642, wRref(F2) = 0.2248, T = 293(2) K.
Externí odkaz:
https://doaj.org/article/8e0e5d6b450c4540847e9a51cdddb4f2
Aircraft landing time (ALT) prediction is crucial for air traffic management, especially for arrival aircraft sequencing on the runway. In this study, a trajectory image-based deep learning method is proposed to predict ALTs for the aircraft entering
Externí odkaz:
http://arxiv.org/abs/2401.01083