Výsledky vyhledávání - "Xiyang, Zhou"

Akademický článek

The prognostic value of multiparametric cardiac magnetic resonance in patients with systemic light chain amyloidosis

Autor: Fujia Miao, Chunxiang Tang, Guisheng Ren, Jinzhou Guo, Liang Zhao, Weiwei Xu, Xiyang Zhou, Longjiang Zhang, Xianghua Huang

Publikováno v: Frontiers in Oncology, Vol 13 (2023)

BackgroundLate gadolinium enhancement (LGE) is a classic imaging modality derived from cardiac magnetic resonance (CMR), which is commonly used to describe cardiac tissue characterization. T1 mapping with extracellular volume (ECV) and native T1 are

Externí odkaz: https://doaj.org/article/79c903fef8f04788bfc3cedccc559596

Zobrazit plný text záznamu

Implementation and visualization of weighted A-Star algorithm and bidirectional weighted A-Star algorithm under large-scale road network

Autor: Dexin Yu, Luchen Wang, Xincheng Wu, Zhuorui Wang, Jianyu Mao, Xiyang Zhou

Publikováno v: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7033db6f3821dcc48bb7c16323b19728
https://doi.org/10.1117/12.2674530

Zobrazit plný text záznamu

Oxidative desulfurization of model oil over the bowl-shaped N-doped carbon material loaded by the defective silicotungstic acid

Autor: Xiyang Zhou, Jiao Jiao, Weizhou Jiao, Ruixin Wang

Publikováno v: Separation and Purification Technology. 310:123180

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e6a60b068933c69d39c36c841b4c7781
https://doi.org/10.1016/j.seppur.2023.123180

Zobrazit plný text záznamu

In situ highly dispersed loading of molybdenum dioxide with oxygen vacancies on N-doped graphene for enhanced oxidative desulfurization of fuel oil

Autor: Jiao Jiao, Xiyang Zhou, Shengnan Zhao, Weizhou Jiao, Ruixin Wang

Publikováno v: Journal of Environmental Chemical Engineering. 11:109402

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::98ab885bc4fcd7615b07f3b538eb6a04
https://doi.org/10.1016/j.jece.2023.109402

Zobrazit plný text záznamu

Akademický článek

Short-term traffic flow prediction model using particle swarm optimization–based combined kernel function-least squares support vector machine combined with chaos theory

Autor: Qiang Shang, Ciyun Lin, Zhaosheng Yang, Qichun Bing, Xiyang Zhou

Publikováno v: Advances in Mechanical Engineering, Vol 8 (2016)

Short-term traffic flow prediction is an important part of intelligent transportation systems research and applications. For further improving the accuracy of short-time traffic flow prediction, a novel hybrid prediction model (multivariate phase spa

Externí odkaz: https://doaj.org/article/0d9c129559b34aa5ae064c11d6eeccf3

Zobrazit plný text záznamu

Akademický článek

A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine.

Autor: Qiang Shang, Ciyun Lin, Zhaosheng Yang, Qichun Bing, Xiyang Zhou

Publikováno v: PLoS ONE, Vol 11, Iss 8, p e0161259 (2016)

Short-term traffic flow prediction is one of the most important issues in the field of intelligent transport system (ITS). Because of the uncertainty and nonlinearity, short-term traffic flow prediction is a challenging task. In order to improve the

Externí odkaz: https://doaj.org/article/49e695d848e64577a876058bb58977f6

Zobrazit plný text záznamu

Akademický článek

Urban Link Travel Time Estimation Based on Low Frequency Probe Vehicle Data

Autor: Xiyang Zhou, Zhaosheng Yang, Wei Zhang, Xiujuan Tian, Qichun Bing

Publikováno v: Discrete Dynamics in Nature and Society, Vol 2016 (2016)

To improve the accuracy and robustness of urban link travel time estimation with limited resources, this research developed a methodology to estimate the urban link travel time using low frequency GPS probe vehicle data. First, focusing on the case w

Externí odkaz: https://doaj.org/article/d68f4c12863d4764845b7d8db3fcfa49

Zobrazit plný text záznamu

Micheliolide inhibits gastric cancer growth

Autor: Xiaogang, Tang, Qiulong, Ding, Chao, Chen, Fei, Chen, Xiyang, Zhou, Chu Jie, Hong, Wensheng, Pan

Publikováno v: Die Pharmazie. 74(3)

Upregulation of pro-inflammatory cytokine interleukin (IL)-6 is observed in gastric cancer tissue, and high IL-6 serum levels predict a poor prognosis of gastric cancer patients. The IL-6/STAT3 pathway has been confirmed to play essential roles in th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::4d0969daf675f09c45e21855a9302eaa
https://pubmed.ncbi.nlm.nih.gov/30961685

Zobrazit plný text záznamu

Surface activity and spreading properties of water-based avermectin microemulsions containing novel siloxane surfactants

Autor: Xiyang Zhou, Dianlong Zhang

Publikováno v: Phosphorus, Sulfur, and Silicon and the Related Elements. 192:9-13

A new avermectin microemulsion formulation was prepared containing organosilicon cosurfactant (glucosamide-based tetrasiloxane surfactants: TGA-2). The surface and spreading properties of avermecti...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::49a573322014f1e8b71a11f5f08d745f
https://doi.org/10.1080/10426507.2016.1223078

Zobrazit plný text záznamu

Transition from Micelle to Vesicle of a Novel Sugar-Based Surfactant Containing Trisiloxane

Autor: Dianlong Zhang, Xiyang Zhou

Publikováno v: Tenside Surfactants Detergents. 53:273-277

Vesicles form spontaneously in aqueous solution of a novel sugar-based surfactant containing trisiloxane [Si(3)N-GHA]. The transition was monitored among the monomer, micelle and vesicle through the variation of surface tension, accompanied by surfac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c08d4a4703fa19f9b4c5f9ec39dbb84c
https://doi.org/10.3139/113.110433

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání