Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Yuting Bai"'
Publikováno v:
Water, Vol 16, Iss 17, p 2545 (2024)
Agriculture is the most important sector that is consuming water resources. In the context of global water scarcity, how to use limited water resources to improve water use efficiency in agriculture or achieve maximum crop yield and fruit quality is
Externí odkaz:
https://doaj.org/article/38f6933eeb4345e08f16417bfe9e99ae
Publikováno v:
Catalysts, Vol 14, Iss 9, p 558 (2024)
Selective catalytic reduction (SCR) stands out as a pivotal method for curbing NOx emissions from flue gas. The support, crucially, for SCR efficacy, loads and interacts with the active components within the catalyst. The catalysts could be amplified
Externí odkaz:
https://doaj.org/article/11b1c6479ad74001893c35d292e5adbf
Autor:
Suya Wugeng, Shengju Zan, Yanmin Liu, Yuting Bai, Ailing Hu, Xiaojuan Wei, Cen Guo, Xiaoling Su
Publikováno v:
Regenerative Therapy, Vol 23, Iss , Pp 17-24 (2023)
Objective: Many studies have explored the roles of microRNAs (miRs) in myocardial ischemia/reperfusion injury (MI/RI), while the function of miR-214-3p in MI/RI remained obscure. This study aims to unravel the regulatory mechanism of miR-214-3p in MI
Externí odkaz:
https://doaj.org/article/5164c1df63394d2196f443b042bc95e8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10659-10674 (2023)
To comprehend the etiology and pathogenesis of many illnesses, it is essential to identify disease-associated microRNAs (miRNAs). However, there are a number of challenges with current computational approaches, such as the lack of "negative samples",
Externí odkaz:
https://doaj.org/article/a21905b3d48e4922ba309a4548df8783
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 4, Pp 6838-6852 (2023)
The Coronavirus (COVID-19) outbreak of December 2019 has become a serious threat to people around the world, creating a health crisis that infected millions of lives, as well as destroying the global economy. Early detection and diagnosis are essenti
Externí odkaz:
https://doaj.org/article/23f93487d89f443d9b3b77c8911f31b6
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3588 (2024)
Supercritical multi-source, multi-component thermal fluid is a heavy oil thermal recovery method independently developed by China National Offshore Oil Co., Ltd (Beijing, China). It uses waste liquid at the production end of the production well as th
Externí odkaz:
https://doaj.org/article/e71709cf015240a8b06b51c97709931f
Publikováno v:
Water, Vol 16, Iss 6, p 909 (2024)
The phenomenon of algal bloom seriously affects the function of the aquatic ecosystems, damages the landscape of urban river and lakes, and threatens the safety of water use. The introduction of a multi-attribute decision-making method avoids the sho
Externí odkaz:
https://doaj.org/article/e5d19fa23f39480881994053b5fd3267
Publikováno v:
Water, Vol 15, Iss 24, p 4281 (2023)
The discrete fracture model (DFM) and the embedded discrete fracture model (EDFM) are both the most widely used methods to simulate fractured wells’ production. In general, DFM represents fractures using an unstructured grid, and EDFM represents fr
Externí odkaz:
https://doaj.org/article/90dc7c100f3147c09d20b6fdc7d822f2
Publikováno v:
Agriculture, Vol 13, Iss 11, p 2080 (2023)
In the realm of smart agriculture technology’s rapid advancement, the integration of various sensors and Internet of Things (IoT) devices has become prevalent in the agricultural sector. Within this context, the precise identification of pests and
Externí odkaz:
https://doaj.org/article/34c1c24cc1fd42c3835d248ed3e672bd
Autor:
Li Wang, Chaoran Ning, Xiaoyi Wang, Jiping Xu, Zhiyao Zhao, Jiabin Yu, Huiyan Zhang, Qian Sun, Yuting Bai, Xuebo Jin, Qianhui Tang
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0294278 (2023)
As for the problem that the traditional single depth prediction model has poor strain capacity to the prediction results of time series data when predicting lake eutrophication, this study takes the multi-factor water quality data affecting lake eutr
Externí odkaz:
https://doaj.org/article/40800bd203e64141814f7e3b53942b38