Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Qingyu Zheng"'
Autor:
Haowen Wu, Wei Li, Guijun Han, Lige Cao, Xudong Cui, Kangzhuang Liang, Gongfu Zhou, Qingyu Zheng
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The spatially varying geographic-parameters introduce significant uncertainty into the ocean model. Due to the impracticality of manually tuning spatial varying parameters, data assimilation methods are widely used for geographic-parameter optimizati
Externí odkaz:
https://doaj.org/article/f8a8b75bf7a04af4b89103553cfd23ed
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 9, Pp n/a-n/a (2024)
Abstract On ensemble‐based coupled data assimilation, cross‐component parameter estimation (CPE), has not been as extensively developed and applied as weakly coupled state and parameter estimation along with cross‐component state estimation. Th
Externí odkaz:
https://doaj.org/article/725b79983edc4106824a096256632997
Publikováno v:
Frontiers in Neurology, Vol 14 (2024)
ObjectivesTo identify and compare published models that use related factors to predict the risk of intracranial hemorrhage (ICH) in acute ischemic stroke patients receiving intravenous alteplase treatment.MethodsRisk prediction models for ICH in acut
Externí odkaz:
https://doaj.org/article/55ac2a75862540598249170aaa4a88b0
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 1, p 135 (2024)
The uncertainty in the initial condition seriously affects the forecasting skill of numerical models. Targeted observations play an important role in reducing uncertainty in numerical prediction. The conditional nonlinear optimal perturbation (CNOP)
Externí odkaz:
https://doaj.org/article/59bedcfbc34d4d078379ce80c41b9b00
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 11, p 2096 (2023)
Data-driven predictions of marine environmental variables are typically focused on single variables. However, in real marine environments, there are correlations among different oceanic variables. Additionally, sea–air interactions play a significa
Externí odkaz:
https://doaj.org/article/4bd63dc6b7e243f4b3cc596835f76618
Publikováno v:
Brazilian Journal of Medical and Biological Research, Vol 54, Iss 11 (2021)
Cervical cancer (CC) is the most common malignant tumor in females. Although persistent high-risk human papillomavirus (HPV) infection is a leading factor that causes CC, few women with HPV infection develop CC. Therefore, many mechanisms remain to b
Externí odkaz:
https://doaj.org/article/8329fbab23f64e199c666c2602ff6540
A Mid- and Long-Term Arctic Sea Ice Concentration Prediction Model Based on Deep Learning Technology
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2889 (2022)
Mid- and long-term predictions of Arctic sea ice concentration (SIC) are important for the safety and security of the Arctic waterways. To date, SIC predictions mainly rely on numerical models, which have the disadvantages of a short prediction time
Externí odkaz:
https://doaj.org/article/03564399122847be828b273f081c5b19
Publikováno v:
Bioengineered. 13:5251-5261
Cervical cancer (CC) is one of the most common gynecological tumors worldwide. Several studies have reported that circular RNAs (circRNAs) play important roles in various types of diseases, including cancer. Thus, the present study aimed to investiga
Autor:
Lei Li, Xinyue Huang, Jinming Xiao, Qingyu Zheng, Xiaolong Shan, Changchun He, Wei Liao, Huafu Chen, Vinod Menon, Xujun Duan
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 119(34)
Marital attachment plays an important role in maintaining intimate personal relationships and sustaining psychological well-being. Mate-selection theories suggest that people are more likely to marry someone with a similar personality and social stat
Autor:
Lei Li, Xiaoran Su, Qingyu Zheng, Jinming Xiao, Xin Yue Huang, Wan Chen, Kaihua Yang, Lei Nie, Xin Yang, Huafu Chen, Shengli Shi, Xujun Duan
Publikováno v:
Human brain mapping. 43(15)
Resting-state functional connectivity (rsFC) approaches provide informative estimates of the functional architecture of the brain, and recently-proposed cofluctuation analysis temporally unwraps FC at every moment in time, providing refined informati