
Pei Liu
Articles
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2 months ago |
mdpi.com | Shuai Ma |Fei Xue |Long Chen |Pei Liu
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Jan 10, 2025 |
mdpi.com | Zheng Li |Pei Liu |Sizhe Jiang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Dec 13, 2024 |
mdpi.com | Pei Liu
4. Results 4.1. Impact of Ammonia ProductionTo analyze the development pathways of DOWD and assess the economic position of ammonia production within the entire power system, this study establishes three scenarios:Baseline Scenario (BS): DOWD is utilized for both electricity transmission and ammonia production. Transmission Scenario (TS): DOWD is used solely for electricity transmission. Ammonia Production Scenario (APS): DOWD is dedicated exclusively to ammonia production.
Corporate ESG Performance, Green Innovation, and Green New Quality Productivity: Evidence from China
Nov 10, 2024 |
mdpi.com | Yan Ma |Pei Liu |Haonan Chen
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Oct 24, 2024 |
biorxiv.org | Pei Liu |Xiao Liang |YUE LI |Jiawei Luo
AbstractSystematic investigation of high-order molecular interactions can deepen our understanding of the mechanisms underlying biological systems. However, effectively capturing both multilinear and nonlinear relationships to accurately identify the complex triplet relationships remains a challenge. In this paper, we present a novel Convolutinal Neural Tensor Completion (ConvNTC) to model triplet network connections. ConvNTC consists of a multilinear module and nonlinear module.
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