Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Xiaole Li"'
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Aeolian sandy soil and loess soil of the Mu Us Sandy Land are used as the research material in this study to investigate the effect of soil compounding on the improvement of aeolian sandy soil and to provide a feasible approach for sand prevention an
Externí odkaz:
https://doaj.org/article/afbd8808a0e94dc9b55d6aa8fa3efd95
Autor:
Ran Tao, Hakkim Vovusha, Xiaole Li, Ruslan Melentiev, Kaichen Zhu, Mario Lanza, Udo Schwingenschlögl, Amit K. Tevtia, Gilles Lubineau
Publikováno v:
Journal of Materials Research and Technology, Vol 29, Iss , Pp 4384-4393 (2024)
The electroplating of copper layers on acrylonitrile–butadiene–styrene (ABS) polymer surfaces is a common need in industrial applications. The development of new eco-friendly techniques to promote ABS–copper adhesion is crucial due to the harsh
Externí odkaz:
https://doaj.org/article/5016764071dd48b39e50b6695ace3e24
Autor:
Junxiang Cheng, Yaoqing Feng, Zhifen Liu, Dandan Zheng, Hong Han, Na Liu, Shasha Liu, Juan Zhao, Xiaole Li, Shifan Han
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background This study aimed to explore the knowledge, attitude, and practice (KAP) toward exercise therapy of patients with major depressive disorder (MDD). Methods This cross-sectional study was conducted at the First Hospital of Shanxi Med
Externí odkaz:
https://doaj.org/article/ad3daabc4f1044cb830892bd88782dd8
Autor:
Roisul Hasan Galib, Yanpei Tian, Yue Lei, Saichao Dang, Xiaole Li, Arief Yudhanto, Gilles Lubineau, Qiaoqiang Gan
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Heat stress is being exacerbated by global warming, jeopardizing human and social sustainability. As a result, reliable and energy-efficient cooling methods are highly sought-after. Here, we report a polyacrylate film fabricated by self-mois
Externí odkaz:
https://doaj.org/article/5f68a8caee6644b6bc8f78822d707422
Autor:
Yang Fang, Jinshuang Gao, Yaqing Guo, Xiaole Li, Enwu Yuan, Erfeng Yuan, Liying Song, Qianqian Shi, Haiyang Yu, Dehua Zhao, Linlin Zhang
Publikováno v:
Human Genomics, Vol 17, Iss 1, Pp 1-9 (2023)
Abstract Background Phenylketonuria (PKU) is caused by mutations in the phenylalanine hydroxylase (PAH) gene. Our study aimed to predict the phenotype using the allelic genotype. Methods A total of 1291 PKU patients with 623 various variants were use
Externí odkaz:
https://doaj.org/article/a46ca787f2a948c5bc610cd9c3b6589d
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2235 (2024)
Downhole heaters are critical for effectively achieving in situ oil shale cracking. In this study, we simulate the heat transfer performance of a large-scale helical baffle downhole heater under various operational conditions. The findings indicate t
Externí odkaz:
https://doaj.org/article/d0e0fe00200147f6bfa851acc35ebdd0
Autor:
Xiaole Li, Shichao Duan, Yingjuan Zheng, Yongqiang Yang, Lei Wang, Xinqiang Li, Qing Zhang, Rick F. Thorne, Wencai Li, Daoke Yang
Publikováno v:
International Journal of Hyperthermia, Vol 39, Iss 1, Pp 358-371 (2022)
Background Hyperthermia is a widely used adjunct treatment for different cancers including nasopharyngeal carcinoma (NPC). The protooncogene c-Myc is up-regulated in NPC and its expression is associated with poor prognosis. Objective We hypothesized
Externí odkaz:
https://doaj.org/article/d577a22691cd4b38bcd4d7b67ad16de7
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 437-446 (2022)
A prediction method of electricity consumption is developed in order to address the problems of big change and imbalance in electricity consumption caused by COVID-19. In this method, BP (Back Propagation) neural network and improved particle swarm o
Externí odkaz:
https://doaj.org/article/7f3f1c248dd44cfe93663a9d03b712e7
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 1-12 (2022)
Electric load forecasting is a challenging research, which is of great significance to the safe and stable operation of power grid in epidemic period. In this paper, Long-Short-Term-Memory (LSTM) model with simplex optimizer is proposed to forecast t
Externí odkaz:
https://doaj.org/article/c76d9b11f8f241188572857dc7a874de
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 239-249 (2022)
In the power load prediction of industries after production resumption, the single-task prediction is unable to learn the correlation characteristics among industries, making it difficult to further improve the prediction accuracy. A multi-task power
Externí odkaz:
https://doaj.org/article/6429ee555d3140948e2e46479d759fd0