Zobrazeno 1 - 10
of 1 314
pro vyhledávání: '"Sai, Wang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study examines the influence of climate change on hydrological processes, particularly runoff, and how it affects managing water resources and ecosystem sustainability. It uses CMIP6 data to analyze changes in runoff patterns under diff
Externí odkaz:
https://doaj.org/article/e034c42c0dad4c628c3b695b515861eb
Autor:
Shijie Yin, Jianguo Li, Zhuozhi Lai, Qing-Wei Meng, Weipeng Xian, Zhifeng Dai, Sai Wang, Li Zhang, Yubing Xiong, Shengqian Ma, Qi Sun
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Efficient energy conversion using ions as carriers necessitates membranes that sustain high permselectivity in high salinity conditions, which presents a significant challenge. This study addresses the issue by manipulating the linkages in c
Externí odkaz:
https://doaj.org/article/0941d5019f1140dea2a943aa897e847d
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 45, Iss 4, Pp 381-393 (2024)
In order to improve the photocatalytic performance of nano-noble metal materials, porous boron nitride nanosheets (h-BNNS) with high specific surface area were prepared by high temperature pyrolysis of the precursor using melamine and boric acid as r
Externí odkaz:
https://doaj.org/article/0fcbbdda06db44a699be0b47e03632ea
Autor:
Jiefeng Ren, Haijun Wang, Song Lai, Yi Shao, Hebin Che, Zaiyao Xue, Xinlian Qi, Sha Zhang, Jinkun Dai, Sai Wang, Kunlian Li, Wei Gan, Quanjin Si
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective Accurate prediction of survival prognosis is helpful to guide clinical decision-making. The aim of this study was to develop a model using machine learning techniques to predict the occurrence of composite thromboembolic events (CT
Externí odkaz:
https://doaj.org/article/a9cbfd5b640b48c586dca0423a0989bb
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Incorporating passive heating structures into personal thermal management technologies could effectively mitigate the escalating energy crisis. However, current passive heating materials struggle to balance thickness and insulating capabilit
Externí odkaz:
https://doaj.org/article/100bdd854e204203ba3407aa42bf5bcc
Autor:
Rihuan Lu, Shoudong Chen, Xiaogong Wang, Meihui Li, Sijia Zhang, Sai Wang, Xianlei Hu, Jingqi Chen, Huagui Huang, Xianghua Liu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-32 (2024)
Abstract A mathematical model was intricately devised to explore the influence of continuous variations in thickness and mechanical properties on the performance of tailor rolled blanks (TRB) and tailor rolled tubes (TRT). Through the integration of
Externí odkaz:
https://doaj.org/article/78117294981f4c18b927960e9b8c3ad2
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 45, Iss 3, Pp 265-276 (2024)
In order to exert the synergistic photocatalytic effect of nano-noble metal and polymer matrix, hexagonal boron nitride nanosheets (h-BNNS) were doped with C and O elements by RGO to obtain porous doped boron nitride materials (BCNO), and silver nano
Externí odkaz:
https://doaj.org/article/52d14df728b94fabbf76691ba732edb1
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 6, Pp 2033-2051 (2024)
Surrounding rocks of underground engineering are subjected to long-term seepage pressure, which can deteriorate the mechanical properties and cause serious disasters. In order to understand the impact of seepage pressure on the mechanical property of
Externí odkaz:
https://doaj.org/article/7c016542486d429caaa434ea60fca61b
Autor:
Yan-Heng Yu, Sai Wang
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 6, Pp 1-10 (2024)
Abstract Primordial gravitational waves are a crucial prediction of inflation theory, and their detection through their imprints on the cosmic microwave background is actively being pursued. However, these attempts have not yet been successful. In th
Externí odkaz:
https://doaj.org/article/422d69a133a543c1bead6a84ba5753e4
Autor:
Weipeng Xian, Changjia Zhu, Zhuozhi Lai, Qing Guo, Di Wu, Qing-Wei Meng, Sai Wang, Shengqian Ma, Qi Sun
Publikováno v:
Chem & Bio Engineering, Vol 1, Iss 5, Pp 461-468 (2024)
Nature seamlessly integrates multiple functions for energy conversion, utilizing solar energy and salinity gradients as the primary drivers for ionic power generation. The creation of artificial membranes capable of finely controlling ion diffusion w
Externí odkaz:
https://doaj.org/article/b977322a7c364ba0836e97e95ef81406