Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Pengyan ZHANG"'
Publikováno v:
Carbon Research, Vol 3, Iss 1, Pp 1-16 (2024)
Abstract Machine learning algorithms investigate relationships in data to deliver useful outputs. However, past models required complete datasets as a prerequisite. In this study, rough set-based machine learning was applied using real-world incomple
Externí odkaz:
https://doaj.org/article/bdb19b9ea4ec4ce094317f3d48670072
Autor:
Yuxin Min, Wenjiang Deng, Huangbo Yuan, Dongliang Zhu, Renjia Zhao, Pengyan Zhang, Jiangli Xue, Ziyu Yuan, Tiejun Zhang, Yanfeng Jiang, Kelin Xu, Di Wu, Yanling Cai, Chen Suo, Xingdong Chen
Publikováno v:
Molecular Oncology, Vol 18, Iss 3, Pp 743-761 (2024)
Extracellular vesicles (EVs) and EV proteins are promising biomarkers for cancer liquid biopsy. Herein, we designed a case–control study involving 100 controls and 100 patients with esophageal, stomach, colorectal, liver, or lung cancer to identify
Externí odkaz:
https://doaj.org/article/ac7e97f3c6e64376a2babb67a16b8489
Autor:
Pengyan Zhang, Jiangzhou Liu, Haocheng Zhang, Maodong Wang, Jiatun Xu, Lianyu Yu, Huanjie Cai
Publikováno v:
Agricultural Water Management, Vol 297, Iss , Pp 108843- (2024)
Biochar application to agricultural fields is an effective carbon sequestration measure that has the potential to reduce N2O emissions and increase soil water holding capacity. However, the interaction mechanisms of biochar under deficit irrigation o
Externí odkaz:
https://doaj.org/article/03a0acafed6b48bcbcedf3bdf4997eef
Autor:
Long Hou, Wenwei Ju, Xinhao Mao, Pengyan Zhang, Yu Hang, Pengfei Shen, Li Liu, Benjun Wang, Weihuo Li
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 4109-4115 (2023)
The nano-scaled structural heterogeneity is closely associated with the magnetic softness and mechanical properties of Fe-based amorphous alloys. However, limited by the shape and size of ribbons, the details of the atomic-scale structural evolution
Externí odkaz:
https://doaj.org/article/05e863fd33cc4d988d135f5f3feb27c4
Publikováno v:
Agricultural Water Management, Vol 295, Iss , Pp 108786- (2024)
Excessive water and nitrogen inputs in agricultural production can result in resource wastage and environmental pollution. This makes it imperative to identify effective farmland management strategies to ensure sustainable agriculture development, an
Externí odkaz:
https://doaj.org/article/586d258b18454a05af81113b615b1aa9
Publikováno v:
Carbon Balance and Management, Vol 18, Iss 1, Pp 1-18 (2023)
Abstract Background Conducting an extensive study on the spatial heterogeneity of the overall carbon budget and its influencing factors and the decoupling status of carbon emissions from economic development, by undertaking simulation projections und
Externí odkaz:
https://doaj.org/article/6bf01fffd794469987d0a9a5d48d7b0c
Publikováno v:
BMC Plant Biology, Vol 23, Iss 1, Pp 1-19 (2023)
Abstract Background Glutathione S-transferase (GST) is a crucial enzyme for metabolism, detoxification, and stress resistance in organisms. Many GSTs have been identified in seaweeds, but the isolation and functional analysis of GSTs in Saccharina ja
Externí odkaz:
https://doaj.org/article/96dcc43720c641b686d8c48d143788e9
Autor:
Yi LIU, Zhourui LIANG, Pengyan ZHANG, Yanmin YUAN, Yukun WU, Maohong DUAN, Fuli LIU, Hongliang DAI
Publikováno v:
Progress in Fishery Sciences, Vol 44, Iss 4, Pp 212-222 (2023)
The reproductive characteristics of some hybrids from crosses of cultivated strains with wild populations are more similar to their wild parents. These hybrids form sorus twice a year in spring and autumn, unlike the conventional cultivars, which for
Externí odkaz:
https://doaj.org/article/e13865013c0b4856a05a70c47a5f2e4c
Autor:
Pengyan Zhang, Chong Liu, Dongqing Lao, Xuan Cuong Nguyen, Balasubramanian Paramasivan, Xiaoyan Qian, Adejumoke Abosede Inyinbor, Xuefei Hu, Yongjun You, Fayong Li
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract This study aimed to develop a robust predictive model for tetracycline (TC) adsorption onto biochar (BC) by employing machine learning techniques to investigate the underlying driving factors. Four machine learning algorithms, namely Random
Externí odkaz:
https://doaj.org/article/b6a3a74158f84c629fb6157ae2749d9c
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111521- (2024)
River basins play an important role in national economic development and ecological security and can be well expressed by ecosystem services (ESs) research. Due to rapid population growth and climate change, it has had a significant impact on the eco
Externí odkaz:
https://doaj.org/article/f73e127518ad435b91a198ba7c781fef