Characteristics of evapotranspiration and crop coefficient correction at a permafrost swamp meadow in Dongkemadi watershed, the Source of Yangtze River in interior Qinghai-Tibet Plateau

Autor: Hao-nan Guo, Xiaobo He, yongjian ding, Yawei Fan, Hui Fu, Xiaofeng Hong

Evapotranspiration is an essential element of the hydrological process. Estimating evapotranspiration at polar regions is challenging. Different results were obtained based on observation and simulation by the FAO Penman-Monteith equation (FAO P-M),

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3cf48ada10a3cd6be415860e8d621d9
https://doi.org/10.22541/au.165808288.87002355/v1

Immobilization pathways of heavy metals in composting:Interactions of microbial community and functional gene under varying C/N ratios and bulking agents

Autor: Hao-nan Guo, Hong-tao Liu, Shubiao Wu

Publikováno v: Guo, H N, Liu, H T & Wu, S 2022, ' Immobilization pathways of heavy metals in composting : Interactions of microbial community and functional gene under varying C/N ratios and bulking agents ', Journal of Hazardous Materials, vol. 426, 128103 . https://doi.org/10.1016/j.jhazmat.2021.128103

Excessive heavy metals (HMs) in livestock manure due to additives over-use limits its recycling through composting. However, few studies have investigated the interactive influence of microbial communities, functional genes, and environmental factors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f3a78e0a18ba32c7174a0d65a0616c7
https://pure.au.dk/portal/da/publications/immobilization-pathways-of-heavy-metals-in-composting(5fe9353b-7b53-40a9-b2b0-7a2c8b8a9f76).html

Simulation, prediction and optimization of typical heavy metals immobilization in swine manure composting by using machine learning models and genetic algorithm

Autor: Hao-nan Guo, Hong-tao Liu, Shubiao Wu

Publikováno v: Guo, H N, Liu, H T & Wu, S 2022, ' Simulation, prediction and optimization of typical heavy metals immobilization in swine manure composting by using machine learning models and genetic algorithm ', Journal of Environmental Management, vol. 323, 116266 . https://doi.org/10.1016/j.jenvman.2022.116266

Machine learning (ML) is a novel method of data analysis with potential to overcome limitations of traditional composting experiments. In this study, four ML models (multi-layer perceptron regression, support vector regression, decision tree regressi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a283ddc1b32721edc946216073362f1
https://doi.org/10.1016/j.jenvman.2022.116266

Probing changes in humus chemical characteristics in response to biochar addition and varying bulking agents during composting: A holistic multi-evidence-based approach

Autor: Hongtao Liu, Shubiao Wu, Xiao-xia Guo, Hao-nan Guo

Publikováno v: Liu, H T, Guo, H N, Guo, X X & Wu, S 2021, ' Probing changes in humus chemical characteristics in response to biochar addition and varying bulking agents during composting : A holistic multi-evidence-based approach ', Journal of Environmental Management, vol. 300, 113736 . https://doi.org/10.1016/j.jenvman.2021.113736

Despite the various benefits of humus, the changes in its chemical characteristics during composting in response to biochar addition and varying bulking agents remain to be further explored. In this study, three treatments were conducted, in which sw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df3e81256dd237a5aac65a278520f77c
https://pubmed.ncbi.nlm.nih.gov/34521000

Dissecting Efficacy and Metabolic Characteristic Mechanism of

Autor: Lei, Ren, Hao-Nan, Guo, Jun, Yang, Xiao-Ying, Guo, Ye-Sheng, Wei, Zhao, Yang

Publikováno v: Frontiers in Pharmacology

Taxifolin (TFN) is an important natural compound with antifibrotic activity; however, its pharmacological mechanism is not clear. In this study, our aim is to gain insight into the effects of TFN and its potential mechanisms in unilateral ureteral ob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d00246055c1c593fbcda6dbff403b63f
https://pubmed.ncbi.nlm.nih.gov/33519473