Zobrazeno 1 - 10
of 9 146
pro vyhledávání: '"Li Xiu"'
Autor:
Li Xiu He, Ling Yang, Ting Liu, Yi Na Li, Ting Xuan Huang, Lan Lan Zhang, Jian Luo, Chun Tao Liu
Publikováno v:
Respiratory Research, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background Patients with neutrophil-mediated asthma have poor response to glucocorticoids. The roles and mechanisms of group 3 innate lymphoid cells (ILC3s) in inducing neutrophilic airway inflammation and glucocorticoid resistance in asthma
Externí odkaz:
https://doaj.org/article/e041dff7892a4ae3868277ba0b44a126
Publikováno v:
Shipin yu jixie, Vol 38, Iss 9, Pp 153-158 (2022)
Objective: This study aimed to improve the purity of lutein in Marigold. Methods: Lutein was extracted from marigold by sunflower seed oil microemulsion. The crude extract of lutein was saponified with KOH-C2H5OH solution and further purified with ma
Externí odkaz:
https://doaj.org/article/8f19f4cf868b4bbebf7d6b71937b9396
Publikováno v:
Shipin yu jixie, Vol 38, Iss 7, Pp 166-173 (2022)
Objective: This study aimed to improve both the drying rate and quality of Undaria pinnatifida. Methods: Microwave vacuum drying experiment was carried out under different microwave power density, vacuum degree and pulse intermittent conditions. The
Externí odkaz:
https://doaj.org/article/41102c28429145c68ffc9dbd2295c0ab
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 52790-60 (2023)
This study aimed to investigate the interaction between miR-1278 and Caldesmon (CALD1) in gastric cancer (GC) and the regulatory mechanism. In both GC cells and tissues, the levels of CALD1, miR-1278, migration-related markers (E-cadherin, N-cadherin
Externí odkaz:
https://doaj.org/article/f20e9c84f64d466fad9766b77ece04d4
Autor:
JIANG Ningli (蒋宁莉), LI Xiu (李秀)
Publikováno v:
中西医结合护理, Vol 7, Iss 9, Pp 129-133 (2021)
This paper summarized the nursing management in the surgical treatment of transposition of the left common carotid artery to left subclavian artery in 85 patients with Stanford type B aortic dissection. Key Points of nursing included preoperative eva
Externí odkaz:
https://doaj.org/article/66778e6e56414944a4cb67471c076f88
Autor:
QIAO Jun-yu, LI Xiu-tao
Publikováno v:
Cailiao gongcheng, Vol 49, Iss 9, Pp 27-40 (2021)
Carbon nanotubes(CNTs), as an important discovery in the research of nanomaterials, have become a research hotspot in the field of carbon materials since their birth. With its unique porous structure, metal-organic frameworks (MOFs) has been develope
Externí odkaz:
https://doaj.org/article/3e476f87da7c4e3684d8581cfa88c1e6
Autor:
Wang, Jiangshan, Pu, Junfu, Qi, Zhongang, Guo, Jiayi, Ma, Yue, Huang, Nisha, Chen, Yuxin, Li, Xiu, Shan, Ying
Rectified-flow-based diffusion transformers, such as FLUX and OpenSora, have demonstrated exceptional performance in the field of image and video generation. Despite their robust generative capabilities, these models often suffer from inaccurate inve
Externí odkaz:
http://arxiv.org/abs/2411.04746
Autor:
Lyu, Jiafei, Xu, Kang, Xu, Jiacheng, Yan, Mengbei, Yang, Jingwen, Zhang, Zongzhang, Bai, Chenjia, Lu, Zongqing, Li, Xiu
We consider off-dynamics reinforcement learning (RL) where one needs to transfer policies across different domains with dynamics mismatch. Despite the focus on developing dynamics-aware algorithms, this field is hindered due to the lack of a standard
Externí odkaz:
http://arxiv.org/abs/2410.20750
Autor:
Li, Ronghui, Zhang, Hongwen, Zhang, Yachao, Zhang, Yuxiang, Zhang, Youliang, Guo, Jie, Zhang, Yan, Li, Xiu, Liu, Yebin
We propose Lodge++, a choreography framework to generate high-quality, ultra-long, and vivid dances given the music and desired genre. To handle the challenges in computational efficiency, the learning of complex and vivid global choreography pattern
Externí odkaz:
http://arxiv.org/abs/2410.20389
Autor:
Meng, Chang, Zhai, Chenhao, Wang, Xueliang, Liu, Shuchang, Feng, Xiaoqiang, Hu, Lantao, Li, Xiu, Li, Han, Gai, Kun
With the rise of short video platforms, video recommendation technology faces more complex challenges. Currently, there are multiple non-personalized modules in the video recommendation pipeline that urgently need personalized modeling techniques for
Externí odkaz:
http://arxiv.org/abs/2410.16755