Search Results - "Xu, Jinfan"

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  1. 1

    Functions of Jasmonic Acid in Plant Regulation and Response to Abiotic Stress by Wang, Jia, Song, Li, Gong, Xue, Xu, Jinfan, Li, Minhui

    “…Jasmonic acid (JA) is an endogenous growth-regulating substance, initially identified as a stress-related hormone in higher plants. Similarly, the exogenous…”
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  2. 2

    Deep learning for vibrational spectral analysis: Recent progress and a practical guide by Yang, Jie, Xu, Jinfan, Zhang, Xiaolei, Wu, Chiyu, Lin, Tao, Ying, Yibin

    Published in Analytica chimica acta (12-11-2019)
    “…The development of chemometrics aims to provide an effective analysis approach for data generated by advanced analytical instruments. The success of existing…”
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  3. 3

    Association between Lifestyle Modification and All-Cause, Cardiovascular, and Premature Mortality in Individuals with Non-Alcoholic Fatty Liver Disease by Huang, Yanqiu, Xu, Jinfan, Yang, Yang, Wan, Tingya, Wang, Hui, Li, Xiaoguang

    Published in Nutrients (01-07-2024)
    “…This study is designed to explore the correlation between multiple healthy lifestyles within the framework of "lifestyle medicine", and the mortality risk of…”
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  4. 4

    DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation by Lin, Tao, Zhong, Renhai, Wang, Yudi, Xu, Jinfan, Jiang, Hao, Xu, Jialu, Ying, Yibin, Rodriguez, Luis, Ting, K C, Li, Haifeng

    Published in Environmental research letters (01-03-2020)
    “…Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative…”
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  5. 5

    Large-Scale Rice Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series by Lin, Zhixian, Zhong, Renhai, Xiong, Xingguo, Guo, Changqiang, Xu, Jinfan, Zhu, Yue, Xu, Jialu, Ying, Yibin, Ting, K. C., Huang, Jingfeng, Lin, Tao

    Published in Remote sensing (Basel, Switzerland) (01-02-2022)
    “…Timely and accurate cropland information at large spatial scales can improve crop management and support the government in decision making. Mapping the spatial…”
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  6. 6

    Antiosteoporosis effect and possible mechanisms of the ingredients of Radix Achyranthis Bidentatae in animal models of osteoporosis: systematic review and meta-analysis of in vivo studies by Lian, Yong, Zhu, Haoran, Guo, Xiaxia, Fan, Yinuo, Xie, Zhixing, Xu, Jinfan, Shao, Min

    “…The effect and mechanisms of the ingredients (IRAB) of Radix Achyranthis Bidentatae (RAB) on treating osteoporosis (OP) remains debated. We aimed to summary…”
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  7. 7

    DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis by Zhang, Xiaolei, Lin, Tao, Xu, Jinfan, Luo, Xuan, Ying, Yibin

    Published in Analytica chimica acta (13-06-2019)
    “…Learning patterns from spectra is critical for the development of chemometric analysis of spectroscopic data. Conventional two-stage calibration approaches…”
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  8. 8

    Quasi-pseudo-BL algebras and weak filters by Chen, Wenjuan, Xu, Jinfan

    Published in Soft computing (Berlin, Germany) (01-03-2023)
    “…In this paper, we introduce the notion of weak filters in quasi-pseudo-BL algebras. First, we discuss the properties of weak filters of a quasi-pseudo-BL…”
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  9. 9

    Advances and challenges in medicinal plant breeding by Wang, Wenle, Xu, Jinfan, Fang, Huiyong, Li, Zhijun, Li, Minhui

    Published in Plant science (Limerick) (01-09-2020)
    “…•Medicinal plants have significant economic and social benefits.•Global demand and consumption of medicinal plants has serious consequences for biodiversity…”
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  10. 10

    DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping by Xu, Jinfan, Zhu, Yue, Zhong, Renhai, Lin, Zhixian, Xu, Jialu, Jiang, Hao, Huang, Jingfeng, Li, Haifeng, Lin, Tao

    Published in Remote sensing of environment (15-09-2020)
    “…Accurate crop mapping provides important and timely information for decision support on the estimation of crop production at large scale. Most existing…”
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  11. 11

    A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level by Jiang, Hao, Hu, Hao, Zhong, Renhai, Xu, Jinfan, Xu, Jialu, Huang, Jingfeng, Wang, Shaowen, Ying, Yibin, Lin, Tao

    Published in Global change biology (01-03-2020)
    “…Understanding large‐scale crop growth and its responses to climate change are critical for yield estimation and prediction, especially under the increased…”
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  12. 12

    Effects of phytochemicals from plant-based functional foods on hyperlipidemia and their underpinning mechanisms by Gong, Xue, Li, Xue, Xia, Ying, Xu, Jinfan, Li, Qinyu, Zhang, Chunhong, Li, Minhui

    Published in Trends in food science & technology (01-09-2020)
    “…Hyperlipidemia, characterized by abnormal lipid metabolism, is a dominant feature of many chronic diseases, including obesity, diabetes, and cardiovascular and…”
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  13. 13

    Understanding the learning mechanism of convolutional neural networks in spectral analysis by Zhang, Xiaolei, Xu, Jinfan, Yang, Jie, Chen, Li, Zhou, Haibo, Liu, Xiangjiang, Li, Haifeng, Lin, Tao, Ying, Yibin

    Published in Analytica chimica acta (04-07-2020)
    “…Deep learning approaches, especially convolutional neural network (CNN) models, have achieved excellent performances in vibrational spectral analysis. The…”
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  14. 14

    Towards interpreting multi-temporal deep learning models in crop mapping by Xu, Jinfan, Yang, Jie, Xiong, Xingguo, Li, Haifeng, Huang, Jingfeng, Ting, K.C., Ying, Yibin, Lin, Tao

    Published in Remote sensing of environment (01-10-2021)
    “…Multi-temporal deep learning approaches have exhibited excellent classification performance in large-scale crop mapping. These approaches efficiently and…”
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  15. 15

    An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments by Yang, Jie, Li, Juntao, Hu, Jie, Yang, Wenjun, Zhang, Xiaolei, Xu, Jinfan, Zhang, Youchao, Luo, Xuan, Ting, K.C., Lin, Tao, Ying, Yibin

    Published in Computers and electronics in agriculture (01-01-2022)
    “…•This study provides a deep learning approach for calibration transfer analysis.•The proposed DTS approach outperforms the conventional standardization…”
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  16. 16

    Exploring the mechanism of MP gel against skin photoaging based on network pharmacology, molecular docking, and experimental validation by Xu, Jinfan, Wu, Guodong, Yu, Xianglin, Dong, Zhiheng, Yan, Jibiao, Wu, Lan, Bao, Lidao, Liu, Quanli

    Published in Journal of cosmetic dermatology (01-03-2023)
    “…Objective Long‐term and high exposure to UV radiation can lead to the development of skin photoaging diseases. Therefore, there is an ongoing need for more…”
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  17. 17

    A Targeted “Capture” and “Removal” Scavenger toward Multiple Pollutants for Water Remediation based on Molecular Recognition by Wang, Jie, Shen, Haijing, Hu, Xiaoxia, Li, Yan, Li, Zhihao, Xu, Jinfan, Song, Xiufeng, Zeng, Haibo, Yuan, Quan

    Published in Advanced science (01-03-2016)
    “…For the water remediation techniques based on adsorption, the long‐standing contradictories between selectivity and multiple adsorbability, as well as between…”
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  18. 18

    Water Splitting: A Targeted “Capture” and “Removal” Scavenger toward Multiple Pollutants for Water Remediation based on Molecular Recognition (Adv. Sci. 3/2016) by Wang, Jie, Shen, Haijing, Hu, Xiaoxia, Li, Yan, Li, Zhihao, Xu, Jinfan, Song, Xiufeng, Zeng, Haibo, Yuan, Quan

    Published in Advanced science (01-03-2016)
    “…For adsorbents used in water remediation, the long‐standing contradictions between selectivity and multiple adsorbability, and affinity and recyclability, have…”
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  19. 19

    A Portable Framework for Accelerating Stencil Computations on Modern Node Architectures by Sai, Ryuichi, Mellor-Crummey, John, Xu, Jinfan, Araya-Polo, Mauricio

    Published 08-09-2023
    “…Finite-difference methods based on high-order stencils are widely used in seismic simulations, weather forecasting, computational fluid dynamics, and other…”
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  20. 20

    Effective doctor-patient communication skills training optimizes functional organization of intrinsic brain architecture:a restingstate functional MRI study by Bing, Zhang, Ling, Ni, Fangfang, Wang, Weiping, Li, Xin, Zhang, Xiaohua, Gu, Zuzana, Nedelska, Fei, Chen, Kun, Wang, Bin, Zhu, Renyuan, Liu, Jun, Xu, Jinfan, Wang

    Published in Journal of biomedical research (2017)
    “…We studied the influence of doctor-patient communication skills training on brain functional architecture using resting-state functional MRI(rs-fMRI) with a…”
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