Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Yanjuan, Wu"'
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 56, Iss , Pp 101990- (2024)
Study region: Taihu Basin, China Study focus: Floods threaten humans, the environment, economic activity, and infrastructure. In this study, a new trend test and flood-frequency methods were adopted to detect extreme floods and their distributions ba
Externí odkaz:
https://doaj.org/article/c7d3fdd302394fd18f3c40f2224eb7a9
Geographical variation in dementia prevalence across China: a geospatial analysisResearch in context
Autor:
Yixuan Liu, Xinyuan Gao, Yongjin Zhang, Minrui Zeng, Yuyang Liu, Yanjuan Wu, Weihua Hu, Yingsi Lai, Jing Liao
Publikováno v:
The Lancet Regional Health. Western Pacific, Vol 47, Iss , Pp 101117- (2024)
Summary: Background: Dementia poses great health and social challenges in China. Dementia prevalence may vary across geographic areas, while comparable estimations on provincial level is lacking. This study aims to estimate dementia prevalence by pro
Externí odkaz:
https://doaj.org/article/0f0a4e71490848b7a2f1cd646a89c119
Autor:
Sophia Lobanov-Rostovsky, Qianyu He, Yuntao Chen, Yuyang Liu, Yanjuan Wu, Yixuan Liu, Tishya Venkatraman, Eric French, Natasha Curry, Nina Hemmings, Piotr Bandosz, Wing Kit Chan, Jing Liao, Eric John Brunner
Publikováno v:
BMC Public Health, Vol 23, Iss 1, Pp 1-24 (2023)
Abstract Background From 2020 to 2050, China’s population aged ≥65 years old is estimated to more than double from 172 million (12·0%) to 366 million (26·0%). Some 10 million have Alzheimer’s disease and related dementias, to approach 40 mill
Externí odkaz:
https://doaj.org/article/d224e0baa21a4b03941438749770f098
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0307494 (2024)
Global warming has increased the probability of extreme climate events, with compound extreme events having more severe impacts on socioeconomics and the environment than individual extremes. Utilizing the Coupled Model Intercomparison Project Phase
Externí odkaz:
https://doaj.org/article/5915e03aa9b84276aef35b289f1a3afe
Autor:
Yixia Wang, Naicheng Wu, Guohao Liu, Hongli Mu, Chao Gao, Yaochun Wang, Yanjuan Wu, Yu Zeng, Yunzhi Yan
Publikováno v:
Ecological Indicators, Vol 153, Iss , Pp 110405- (2023)
Incorporating functional metrics into the development of a diatom-based index of biotic integrity (D-IBI) is conducive to a more comprehensive assessment of water quality and the degree of external impact on ecosystem function. A D-IBI was developed
Externí odkaz:
https://doaj.org/article/e33284eac74b477ba68ff8f1cad12e63
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 8, Pp 2972-2990 (2022)
In view of the key factor in regional hydrological processes and water resource management, the temporal patterns of precipitation anomalies and oscillations were detected by the Quantile Perturbation Method (QPM) and the Singular Spectrum Analysis (
Externí odkaz:
https://doaj.org/article/a2c506f47a564d0184026fdea0a61713
Publikováno v:
International Journal of Climate Change Strategies and Management, Vol 13, Iss 4/5, Pp 529-546 (2021)
Purpose – Quantitative and spatial-explicit flood risk information is of great importance for strengthening climate change adaptation and flood resilience. Shanghai is a coastal megacity at large estuary delta with rising flood risks. This study ai
Externí odkaz:
https://doaj.org/article/290a155e55794f798e74e7f9a41f6820
Publikováno v:
Sensors, Vol 23, Iss 16, p 7153 (2023)
The Convolutional Neural Network (CNN) is one of the widely used deep learning models that offers the chance to boost farming productivity through autonomous inference of field conditions. In this paper, CNN is connected to a Support Vector Machine (
Externí odkaz:
https://doaj.org/article/62f7c351f4ba408fbd6625cd502114a9
Publikováno v:
IEEE Access, Vol 8, Pp 39375-39388 (2020)
Aiming at the multi-motor coordinated control of intelligent robots, cross-coupling ring control based on fuzzy theory (CRCF) is proposed. Each motor is cross-coupled with two adjacent motors to form a multi-motor ring network structure that eliminat
Externí odkaz:
https://doaj.org/article/06a3a4fdef6541d6a35b5e05fdfdcc9f
Publikováno v:
IEEE Access, Vol 8, Pp 108691-108704 (2020)
To realize a computerized autonomous recognition of human-computer interface graphics and autonomously interface an interface graphic model with a simulation analysis program of a systems operation, a human-computer interface topology identification
Externí odkaz:
https://doaj.org/article/bcc609412285468e9c5344fe507bd51e