Výsledky vyhledávání - "Luqiang Zhao"

Akademický článek

Comparative analysis of two rainfall/snowfall and freezing weather events impact on the highway in early 2024

Autor: Hua TIAN, Jianyang SONG, Jingjing GAO, Luqiang ZHAO, Kunyu LI, Minyue YAN

Publikováno v: 暴雨灾害, Vol 43, Iss 4, Pp 490-498 (2024)

In early 2024, from January 31 to February 5 and from February 18 to 25,two widespread rainfall/snowfall and freezing events weather occurred in China,hereinafter referred to as the "0131" and "0218" events. The two events were characterized by compl

Externí odkaz: https://doaj.org/article/2c08b443bbcc40559e3ad89533917595

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Akademický článek

Research on the Terrain Characteristics of Changbai Mountain and Their Impact on Precipitation and Wind Distribution

Autor: Li Liang, Wanxiu Ai, Xiaodan Yang, Luqiang Zhao

Publikováno v: Atmosphere, Vol 15, Iss 3, p 272 (2024)

The terrain of Changbai Mountain has great influence on the distribution of atmospheric flows and the occurrence and development of precipitation. However, quantitative studies on the real terrain characteristics and the terrain effect on precipitati

Externí odkaz: https://doaj.org/article/8d4470719ab84248bb4e9c1a62c3d8e4

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MALAT1 promotes liver fibrosis by sponging miR‑181a and activating TLR4‑NF‑κB signaling

Autor: Zixin Zhu, Yinghui Wang, Lili Zhu, Qiuju Mou, Luqiang Zhao

Publikováno v: International Journal of Molecular Medicine

The aim of the present study was to investigate whether long non-coding RNA metastasis associated lung adenocarcinoma transcript 1 (MALAT1) could modulate activation and inflammation of hepatic stellate cell (HSCs) via regulation of a microRNA (miR)-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d77b9e253017efa4ff3a94579e51fdbc
https://pubmed.ncbi.nlm.nih.gov/34651657

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A physics-based probabilistic forecasting model for rainfall-induced shallow landslides at regional scale

Autor: Shaojie Zhang, Ricardo Delgado-Tellez, Hongjun Bao, Luqiang Zhao

Publikováno v: Natural Hazards and Earth System Sciences, Vol 18, Pp 969-982 (2018)

Conventional outputs of physics-based landslide forecasting models are presented as deterministic warnings by calculating the safety factor (Fs) of potentially dangerous slopes. However, these models are highly dependent on variables such as cohesion

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfff58ad525d2c3da01bb72f224643b2
https://www.nat-hazards-earth-syst-sci.net/18/969/2018/nhess-18-969-2018.pdf

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