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Biochemical and Transcriptional Regulation of Membrane Lipid Metabolism in Maize Leaves under Low Temperature
- Yingnan Gu, Lin He, Jingyu Xu
- Biology, Environmental ScienceFrontiers in Plant Science
- 30 November 2017
This study will help to understand the regulation of glycerolipids metabolism at both biochemical and molecular biological levels in 18:3 plants and to decipher the roles played by lipid remodeling in cold response in major field crop maize.
Genome-wide characterization and expression profiling of diacylglycerol acyltransferase genes from maize.
Diacylglycerol acyltransferase (DGAT) catalyzes the only rate-limiting step in the pathway of plant oil (TAG) biosynthesis and is involved in plant development. In this study, five DGAT family…
Ultrafiltration for the Determination of Cu Complexed with Dissolved Organic Matters of Different Molecular Weight from a Eutrophic River, China
- Anding Li, Yan Zhang, Jie Tian
- Materials ScienceBulletin of Environmental Contamination and…
- 21 May 2018
The results showed that the concentration of DOM increased from 26.47 to 38.20 mg/L during the eutrophication process, however, DOM was still dominated by the small molecular weight fraction before and after eUTrophication.
Genome-wide identification and abiotic stress responses of DGK gene family in maize
- Yingnan Gu, Chang-jiang Zhao, Jingyu Xu
- BiologyJournal of Plant Biochemistry and Biotechnology
- 13 September 2017
Seven maize (Zea mays) DGK gene family members were identified by an exploration of maize genome via multiple online databases, and designated as ZmDGK1-7, respectively, to better understand the roles of DGKs in the development and abiotic stress responses in major crops.
Minimizing the number of wireless charging PAD for unmanned aerial vehicle–based wireless rechargeable sensor networks
- Yingjue Chen, Yingnan Gu, Panfeng Li, F. Lin
- Computer ScienceInt. J. Distributed Sens. Networks
- 1 December 2021
This work proposes a novel PAD deployment scheme named clustering-with-double-constraints and disks-shift-combining that can adapt to arbitrary locations of the base station, arbitrary geographic distributions of sensor nodes, and arbitrary sizes of network areas and results show that compared to existing algorithms, this scheme can charge the network with fewer PADs.
Minimizing the Number of Wireless Charging PAD for UAV-Based Wireless Rechargeable Sensor Networks
This work investigates the problem of introducing the minimal number of PADs in UAV-based WRSNs and proposes a novel and adaptive PAD deployment scheme named CDC&DSC that can adapt to arbitrary locations of the base station, arbitrary geographic distributions of sensor nodes, and arbitrary sizes of network areas.