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Your search keyword '"Liang, Jiansheng"' showing total 150 results
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150 results on '"Liang, Jiansheng"'

2. Uplink Tx Switching Application Optimization Based on XGBoost Algorithm

Author

Huang, Tao, Xiao, Tian, Wei, Yao, Xu, Lexi, Lan, Ji, Li, Pengxiang, Liang, Jiansheng, Wang, Xinyan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wang, Yue, editor, Liu, Yuyang, editor, Zou, Jiaqi, editor, and Huo, Mengyao, editor

Published
2023
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6. Real-Time Energy Management Strategy for Fuel Cell Vehicles Based on DP and Rule Extraction.

Author

Liu, Yanwei, Wang, Mingda, Tan, Jialuo, Ye, Jie, and Liang, Jiansheng

Subjects
OPTIMIZATION algorithms, DYNAMIC programming, GLOBAL optimization, DEEP learning, ENERGY management
Abstract

Energy management strategy (EMS), as a core technology in fuel cell vehicles (FCVs), profoundly influences the lifespan of fuel cells and the economy of the vehicle. Aiming at the problem of the EMS of FCVs based on a global optimization algorithm not being applicable in real-time, a rule extraction-based EMS is proposed for fuel cell commercial vehicles. Based on the results of the dynamic programming (DP) algorithm in the CLTC-C cycle, the deep learning approach is employed to extract output power rules for fuel cell, leading to the establishment of a rule library. Using this library, a real-time applicable rule-based EMS is designed. The simulated driving platform is built in a CARLA, SUMO, and MATLAB/Simulink joint simulation environment. Simulation results indicate that the proposed strategy yields savings ranging from 3.64% to 8.96% in total costs when compared to the state machine-based strategy. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Receptor for Activated C Kinase 1 counteracts ABSCISIC ACID INSENSITIVE5-mediated inhibition of seed germination and post-germinative growth in Arabidopsis.

Author

Li, Zhiyong, Zhang, Dayan, Liang, Xiaoju, and Liang, Jiansheng

Subjects
ABSCISIC acid, PLANT development, PROTEIN receptors, GERMINATION, CELLULAR signal transduction, SUBSTRATES (Materials science)
Abstract

ABSCISIC ACID INSENSITIVE5 (ABI5), a key regulator of the abscisic acid (ABA) signalling pathway, plays a fundamental role in seed germination and post-germinative development. However, the molecular mechanism underlying the repression function of ABI5 remains to be elucidated. In this study, we demonstrate that the conserved eukaryotic WD40 repeat protein Receptor for Activated C Kinase 1 (RACK1) is a novel negative regulator of ABI5 in Arabidopsis. The RACK1 loss-of-function mutant is hypersensitive to ABA, while this phenotype is rescued by a mutation in ABI5. Moreover, overexpression of RACK1 suppresses ABI5 transcriptional activation activity for ABI5-targeted genes. RACK1 may also physically interact with ABI5 and facilitate its degradation. Furthermore, we found that RACK1 and the two substrate receptors CUL4-based E3 ligases (DWA1 and DWA2) function together to mediate the turnover of ABI5, thereby efficiently reducing ABA signalling in seed germination and post-germinative growth. In addition, molecular analyses demonstrated that ABI5 may bind to the promoter of RACK1 to repress its expression. Collectively, our findings suggest that RACK1 and ABI5 might form a feedback loop to regulate the homeostasis of ABA signalling in acute seed germination and early plant development. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Scaffold protein RACK1 regulates BR signaling by modulating the nuclear localization of BZR1.

Author

Li, Zhiyong, Fu, Yajuan, Wang, Yuzhu, and Liang, Jiansheng

Subjects
SCAFFOLD proteins, NUCLEOCYTOPLASMIC interactions, BRASSINOSTEROIDS, PROTEIN receptors, STEROID hormones, CYTOSOL
Abstract

Summary: Brassinosteroids (BRs) are a group of plant‐specific steroid hormones, which induces the rapid nuclear localization of the positive transcriptional factors BRASSINAZOLE RESISTANT1/2 (BZR1/2). However, the mechanisms underlying the regulation of nucleocytoplasmic shuttling of BZR1 remain to be fully elucidated.In this study, we show that the scaffold protein Receptor for Activated C Kinase 1 (RACK1) from Arabidopsis is involved in BR signaling cascades through mediating the nuclear localization of BZR1, which is tightly retained in the cytosol by the conserved scaffold protein 14‐3‐3s.RACK1 can interact with BZR1 and competitively decrease the 14‐3‐3 interaction with BZR1 in cytosol, which efficiently enhances the nuclear localization of BZR1. 14‐3‐3 also retains RACK1 in cytosol through their interaction. Conversely, BR treatment enhances the nuclear localization of BZR1 by disrupting the 14‐3‐3 interaction with RACK1 and BZR1.Our study uncovers a new mechanism that integrates two kinds of conserved scaffold proteins (RACK1 and 14‐3‐3) coordinating BR signaling event. [ABSTRACT FROM AUTHOR]

Published
2023
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23. RGB1 Regulates Rice Panicle Architecture and Grain Filling Through Monitoring Cytokinin Level in Inflorescence Meristem and Grain Abscisic Acid Level During Filling Stage

Author

Wang Yuzhu, Zhang Dongping, Liang Jiansheng, and Zhang Minyan

Subjects
Plant culture, Plant Science, Meristem, Grain filling, Biology, SB1-1110, chemistry.chemical_compound, Horticulture, chemistry, Inflorescence, Cytokinin, Stage (hydrology), Agronomy and Crop Science, Abscisic acid, Biotechnology, Panicle
Published
2021

29. Identification and molecular characterization of the alternative spliced variants of beta carbonic anhydrase 1 (βCA1) from Arabidopsis thaliana

Author

Shen, Jinyu, Li, Zhiyong, Fu, Yajuan, and Liang, Jiansheng

Subjects
Carbonic anhydrase, Protein-protein interaction network, General Neuroscience, Stress response, Plant Science, General Medicine, Spliced variant, General Biochemistry, Genetics and Molecular Biology, Localization, Medicine, Expression pattern, General Agricultural and Biological Sciences, Molecular Biology
Abstract

Carbonic anhydrases (CAs) are ubiquitous zinc metalloenzymes that catalyze the interconversion of carbon dioxide and bicarbonate. Higher plants mainly contain the three evolutionarily distinct CA families αCA, βCA, and γCA, with each represented by multiple isoforms. Alternative splicing (AS) of the CA transcripts is common. However, there is little information on the spliced variants of individual CA isoforms. In this study, we focused on the characterization of spliced variants of βCA1 from Arabidopsis. The expression patterns and subcellular localization of the individual spliced variants of βCA1 were examined. The results showed that the spliced variants of βCA1 possessed different subcellular and tissue distributions and responded differently to environmental stimuli. Additionally, we addressed the physiological role of βCA1 in heat stress response and its protein-protein interaction (PPI) network. Our results showed that βCA1 was regulated by heat stresses, and βca1 mutant was hypersensitive to heat stress, indicating a role for βCA1 in heat stress response. Furthermore, PPI network analysis revealed that βCA1 interacts with multiple proteins involved in several processes, including photosynthesis, metabolism, and the stress response, and these will provide new avenues for future investigations of βCA1.

Published
2021

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