Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chaoran NI"'
Publikováno v:
Pifu-xingbing zhenliaoxue zazhi, Vol 30, Iss 4, Pp 340-348 (2023)
Objective To identify comorbid hub genes in psoriasis and atherosclerosis. Methods Transcriptomic datasets of three psoriatic samples and three atherosclerosis samples were downloaded from the GEO database. A deep learning algorithm (Batch Normalizat
Externí odkaz:
https://doaj.org/article/841f3300689245b2823ad181725a5634
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 775-789 (2024)
Abstract Lack of a long‐term time series of dataset with a high spatiotemporal resolution at a global scale poses a great challenge to clarify the characteristics of DOC in space and depth, and its trend in time. Thus, there is an urgent need for t
Externí odkaz:
https://doaj.org/article/8daaa613679a4bbf976d7ac579424f0e
Publikováno v:
Journal of Urban Planning and Development. 146
Environmental pollution incidents affect urban residents and the natural environment. This article employs hedonic price models and a difference-in-difference (DID) approach to examine how...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5918026213fbb8a61940602523aa7a80
https://doi.org/10.1061/(asce)up.1943-5444.0000564
https://doi.org/10.1061/(asce)up.1943-5444.0000564
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
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 348 (2023)
Advanced Earth observation technologies provide a tool for the study of ocean dynamics either in basins or in oceans. In a comparison of when and where, how ocean dynamics evolves in space and time is still a challenge. In view of an evolutionary sca
Externí odkaz:
https://doaj.org/article/3d9522a4fbe7476996a73661747502f5
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 2991 (2022)
Many effective and advanced methods have been developed to explore oceanic dynamics using time series of raster-formatted datasets; however, they have generally been designed at a scale suitable for data observation and used independently of each oth
Externí odkaz:
https://doaj.org/article/a50d45abd18f4d79bffa93521b31019f