Zobrazeno 1 - 10
of 28 157
pro vyhledávání: '"ZHANG Bin"'
Autor:
Zhang Bin
Publikováno v:
Zeitschrift für Sprachwissenschaft, Vol 43, Iss 2, Pp 379-382 (2024)
Externí odkaz:
https://doaj.org/article/b3fb11764cb1447b9d0ab25ed0769502
Publikováno v:
Chinese Journal of Contemporary Neurology and Neurosurgery, Vol 24, Iss 9, Pp 717-722 (2024)
Pituitary adenoma is a benign intracranial tumor, commonly found in adults and occasionally in children. Pituitary adenoma is classified into secretory and non-secretory adenoma based on whether there is abnormal hormone secretion. The main manifesta
Externí odkaz:
https://doaj.org/article/8a3bdd585bd847948b58c564e26ea1ff
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 4, Pp 29-37 (2024)
[Objective] The objective is to explore the spatial and temporal changes of soil erosion and its main controlling factors in the Longchuan River Basin, as well as to understand mastering the local soil and water, which is conducive to building an eco
Externí odkaz:
https://doaj.org/article/cbf1d25f5afe49939d170de192480178
Publikováno v:
Sichuan jingshen weisheng, Vol 37, Iss 4, Pp 364-369 (2024)
BackgroundIndividuals may experience significant alterations in sleep hygiene during the major public health emergencies， consequently impacting their sleep quality.ObjectiveTo explore the relationship between sleep quality and sleep hygiene among
Externí odkaz:
https://doaj.org/article/d2c800c87f984e8599fa8cbe3944d208
Autor:
Youcheng Song, Xu Hongtao, Haijun Wang, Ziyang Zhu, Xinyi Kang, Xiaoxu Cao, Zhang Bin, Haoran Zeng
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTThe cellular automata (CA) model is the predominant method for predicting land use and land cover (LULC) changes. The accuracy of this model critically depends on well-defined transition rules, which encapsulate the local dynamics of complex
Externí odkaz:
https://doaj.org/article/bef2023bfec84b70a4f8411b0d55016d
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 7, Pp 47-54, 97 (2024)
In response to the problem that existing impact hazard assessment methods cannot accurately reflect the features of stress concentration changes under the influence of impact hazard factors, an impact hazard area classification method base on multi f
Externí odkaz:
https://doaj.org/article/fab04df266914d82886a19e0be39929c
Publikováno v:
康复学报, Vol 33, Pp 528-534 (2023)
ObjectiveTo explore the effect of long non-coding RNA H19 (lncRNA H19) and microRNA (miRNA)-200a on cardiac function and myocardial fibrosis in rats with chronic heart failure based on transforming growth factor-β1 (TGF-β1)/Smad homolog 3 (Smad3) s
Externí odkaz:
https://doaj.org/article/32f09d774ab545a89564f85c8a61f2f6
Autor:
Zheng Jiancheng, Li Diao, Liu Peng, Cui Xiaoqi, Zhang Bin, Geng Wei, Zhang Qiang, Xu Zhenyu, Kauppinen Esko I., Sun Zhipei
Publikováno v:
Nanophotonics, Vol 12, Iss 17, Pp 3397-3407 (2023)
Double-walled carbon nanotubes have shown competitive properties in broadband optical pulse generation owning to the intrinsic electronic properties. Synchronization of ultrafast optical pulses in multiple wavelengths is a key technique for numerous
Externí odkaz:
https://doaj.org/article/1da6b0a8104a4223b01a094eec264824
Publikováno v:
Dizhi lixue xuebao, Vol 29, Iss 3, Pp 324-338 (2023)
The article reviews the development of the volumetric borehole strain gauge. In response to the current problems of insufficient stability and bandwidth and low calibration accuracy of the volumetric strain gauge, a TY-2B-type small volumetric boreho
Externí odkaz:
https://doaj.org/article/b18e59bd3a9c4cb68bad5ccd183b2bfc
Autor:
ZHANG Bin, SUN Yao, MA Xiumin, PENG Hua, JIANG Jingjie, MAO Jiarui, ZHANG Wenhui, ZHAI Yudong
Publikováno v:
Dizhi lixue xuebao, Vol 29, Iss 3, Pp 388-401 (2023)
In order to obtain the in-situ stress field characteristics and analyze tectonic stability in the Motuo key area of the eastern Himalayan syntaxis, the in-situ stress measurement of one in-situ stress hole and 11 test sections of the Xirang section o
Externí odkaz:
https://doaj.org/article/a7aa6b8a78804d448e9d63c19ea16bfb