Article
Plant Sciences
Min Li, Xizhi Li, Liang Zhu, Pengbo Xue, Jinlin Bao, Beibei Zhou, Jian Jin, Jun Wang
Summary: SRL1, an important gene involved in leaf development in rice, has been found to regulate leaf morphology and defects in its knockout line. Transcriptome analysis of a homozygous SRL1 KO line revealed differentially expressed genes related to bulliform cells development and leaf cuticle, as well as downregulation of cellulose synthase and phenylalanine ammonia-lyase/cinnamoyl-CoA reductase genes, which may contribute to the observed leaf development defects.
JOURNAL OF PLANT GROWTH REGULATION
(2022)
Article
Ecology
Beibei Zhou, Hengkai Li, Feng Xu
Summary: This study utilized hyperspectral remote sensing technology to analyze typical vegetation in the Jiazibei mining area, achieving accurate identification of reclaimed vegetation through the selection of characteristic bands and construction of discrimination models. This provides important support for monitoring the ecological environment in mining areas.
ECOLOGICAL ENGINEERING
(2022)
Article
Environmental Sciences
Hengkai Li, Beibei Zhou, Feng Xu, Zhian Wei
Summary: This study analyzes the spectral characteristics of reclaimed vegetation in the rare earth mining area and identifies spectral indices related to chlorophyll content. Sensitive spectral parameters are extracted and different algorithms are used to estimate chlorophyll content. The results provide a scientific basis for monitoring and managing the growth of reclaimed vegetation in rare earth mining areas and guiding ecological restoration efforts.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Geochemistry & Geophysics
Hengkai Li, Beibei Zhou, Feng Xu
Summary: Large-area hyperspectral remote sensing monitoring of physiological parameters of reclaimed vegetation is crucial for environmental supervision in rare earth mining areas. This study measured the spectral reflectance of typical reclaimed vegetation in a rare earth mining area and compared it with vegetation in normal environments. Various techniques such as derivative transform, wavelet transform, and fractional differential transform were used to extract hidden information in the spectral features and explore the spectral characteristics of reclaimed vegetation under environmental stress. The results provide technical support for process management and reclamation measures in rare earth mining areas and contribute to ecological reconstruction.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Chemistry, Medicinal
Bei Bei Zhou, Dan Liu, Jia Cheng Qian, Ren Xiang Tan
Summary: Food-drug interaction is an important but often overlooked issue. This study identifies a chemical compound called LTr1 derived from vegetables that can reduce melanogenesis and enhance the effectiveness of anti-melanoma chemotherapeutic agents.
PHYTOTHERAPY RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Yuzhang Yang, Yunqian Gong, Xingliang Li, Minji Li, Qinping Wei, Beibei Zhou, Junke Zhang
Summary: In this study, an efficient enzyme mimic material was successfully prepared by an acid-base treatment method. The material exhibited excellent stability in alkaline environments and high peroxidase-mimicking activity. Selective glucose determination was achieved using BioMOF-NPs, and the method was successfully utilized for the recyclable detection of glucose in apple fruits.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2022)
Article
Construction & Building Technology
Yihan Ma, Dengwu Jiao, Shengnan Sha, Beibei Zhou, Yi Liu, Caijun Shi
Summary: Four types of PCE superplasticizers were synthesized and their performance was evaluated, with S-PCE demonstrating the best dispersion and retention capability, while H-PCE performed the worst.
CEMENT & CONCRETE COMPOSITES
(2022)
Article
Engineering, Electrical & Electronic
Wenyi Shao, Beibei Zhou
Summary: This article presents a neural network method to generate 2-D virtual breast phantoms that are similar to the real ones, which can be used in machine learning based microwave breast imaging (MBI) research. With the generative network, an unlimited number of breast images with more variations can be generated, making ML-based MBI easier to deploy.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2022)
Article
Construction & Building Technology
Yihan Ma, Shengnan Sha, Beibei Zhou, Fengzhen Lei, Yi Liu, Yuchong Xiao, Caijun Shi
Summary: This study investigated the adsorption isotherms and kinetics of polycarboxylate ether (PCE) superplasticizer on montmorillonite (MMT). It was found that PCE mainly adsorbs on the surface of MMT and can intercalate completely at a certain concentration. The adsorption of PCE on MMT follows the Freundlich isotherm equation and the pseudo-second-order adsorption equation. The temperature does not affect the surface adsorption of PCE, but it results in a lower adsorption saturation at higher temperatures.
CEMENT AND CONCRETE RESEARCH
(2022)
Article
Ecology
Jingjing Duan, Tong Shu, Lihong Xue, Shiying He, Evangelos Petropoulos, Yanfang Feng, Beibei Zhou, Linzhang Yang
Summary: In this study, drainage ditches with different treatments were tested to evaluate the interception rates of nitrogen in low-concentrated run offs. The results showed that the ditches with floating ryegrass mat had higher NH4+ removal efficiency compared to the control. However, the removal efficiency of NO3- and TN was low during the cold period. Supplementing cellulose carbon could improve denitrification.
ECOLOGICAL ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Wenyi Shao, Beibei Zhou
Summary: A deep learning method is used to model electromagnetic scattering in microwave breast imaging. The neural network is trained using synthetic digital breast phantoms generated by a generative adversarial network, and the scattered-field data is pre-calculated using the method of moments. The results show that the neural network is significantly faster than the traditional method and the errors introduced by the neural network do not significantly affect the image reconstruction.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Horticulture
Qiang Zhang, Minji Li, Beibei Zhou, Junke Zhang, Qinping Wei
Summary: The objective of this study was to investigate the effect of environmental factors on fruit quality traits of 'Fuji' apples. It was found that meteorological factors had a greater impact on fruit quality than soil nutrition factors in the Loess Plateau apple-producing region of China. Optimum environmental factors include soil organic matter, nitrogen, phosphorus, potassium, calcium, iron, zinc, boron, soil pH, and various meteorological factors such as temperature and precipitation.
Article
Plant Sciences
Xing-Liang Li, Dong Meng, Min-Ji Li, Jia Zhou, Yu-Zhang Yang, Bei-Bei Zhou, Qin-Ping Wei, Jun-Ke Zhang
Summary: The transcription factor MhDREB2A activates MhZAT10 expression, and they coordinately regulate drought and cold stress by integrating multiple pathways in apple rootstock to improve shoot-shriveling tolerance.
Article
Plant Sciences
Tingting Sun, Junke Zhang, Qiang Zhang, Xingliang Li, Minji Li, Yuzhang Yang, Jia Zhou, Qinping Wei, Beibei Zhou
Summary: This study compared physiological, transcriptomic, and metabolic analyses in apple seedlings under different potassium (K) conditions. The results reveal that K deficiency and excess conditions affect various aspects of apple development and metabolism. Transcriptome and metabolite analyses suggest that apple plants regulate gene expression and carbon metabolism to cope with low and high K stresses. This research provides insights into the metabolic processes involved in K response and offers a foundation for improving K utilization efficiency in apples.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Forestry
Tingting Sun, Junke Zhang, Qiang Zhang, Xingliang Li, Minji Li, Yuzhang Yang, Jia Zhou, Qinping Wei, Beibei Zhou
Summary: This study analyzed the responses of apple plants to drought stress under AA treatment, and the results showed that AA treatment can improve drought tolerance in apple plants. Higher levels of chlorophyll and carotenoids were found, and the levels of ABA, JA, and methyl jasmonate were increased under AA treatment. Transcriptomic profiling identified key biological pathways involved in metabolism, MAPK signaling, plant hormone signal transduction, and secondary metabolite biosynthesis under different drought conditions.